diff --git a/04_stolen_property.Rmd b/04_stolen_property.Rmd index 215bdc7..32b8d61 100644 --- a/04_stolen_property.Rmd +++ b/04_stolen_property.Rmd @@ -10,7 +10,7 @@ knitr::opts_chunk$set( ``` ```{r} -ucr_property_stolen_recovered_yearly <- readRDS("data/supplement_to_return_a_yearly_1960_2023.rds") +ucr_property_stolen_recovered_yearly <- readRDS("data/property_stolen_and_recovered_yearly_1960_2023.rds") offenses_known_yearly <- readRDS("data/offenses_known_yearly_1960_2023.rds") value_columns <- grep("value|offenses", names(ucr_property_stolen_recovered_yearly), value = TRUE) diff --git a/06_shr.Rmd b/06_shr.Rmd index fbe9086..1beb43e 100644 --- a/06_shr.Rmd +++ b/06_shr.Rmd @@ -15,7 +15,7 @@ One important point of clarification: this is not the number of murders, though ```{r} -shr <- readRDS("data/shr_1976_2023.rds") +shr <- readRDS("data/supplementary_homicide_reports_shr_1976_2023.rds") offenses_known_yearly <- readRDS("data/offenses_known_yearly_1960_2023.rds") ``` diff --git a/08_arson.Rmd b/08_arson.Rmd index 59552d6..86118fd 100644 --- a/08_arson.Rmd +++ b/08_arson.Rmd @@ -10,7 +10,7 @@ knitr::opts_chunk$set( ``` ```{r} -arson <- readRDS("data/ucr_arson_yearly_1979_2023.rds") +arson <- readRDS("data/arson_yearly_1979_2023.rds") ``` The arson dataset provides monthly counts of reported arson incidents, with detailed breakdowns by type (e.g., arson of residential properties, vehicles, or public buildings) and the estimated value of property damage. The data spans from 1979 to the present and includes additional information on arrests, clearances, and unfounded cases. diff --git a/09_hate_crime.Rmd b/09_hate_crime.Rmd index 183a0ff..b064972 100644 --- a/09_hate_crime.Rmd +++ b/09_hate_crime.Rmd @@ -10,7 +10,7 @@ knitr::opts_chunk$set( ``` ```{r} -hate_crimes <- readRDS("data/ucr_hate_crimes_1991_2023.rds") +hate_crimes <- readRDS("data/hate_crimes_1991_2023.rds") ``` This dataset covers crimes that are reported to the police and judged by the police to be motivated by hate. More specifically, they are crimes which were motivated - at least in part - by bias towards a certain person or group of people because of characteristics about them such as race, sexual orientation, or religion. The first part is key: incidents must first be crimes—specifically, the types of crimes the FBI includes in this dataset. 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Binary files a/_bookdown_files/index_files/figure-latex/nycMurderYearly-1.pdf and b/_bookdown_files/index_files/figure-latex/nycMurderYearly-1.pdf differ diff --git a/docs/03_offenses_known.md b/docs/03_offenses_known.md index 3b867fe..dca8f7c 100644 --- a/docs/03_offenses_known.md +++ b/docs/03_offenses_known.md @@ -66,56 +66,43 @@ In practice, the Hierarchy Rule has only modest effects on the data, undercounti The FBI released a report [available here](https://ucr.fbi.gov/nibrs/2014/resource-pages/effects_of_nibrs_on_crime_statistics_final.pdf) in 2015 that directly examined this issue by taking NIBRS data from 2014 and examined how NIBRS data (which does not use the Hierarchy Rule) compares to using the Hierarchy Rule and keeping only the most serious crime. Figure \@ref(fig:fbiHierarchy) is a screenshot from their report showing the percent increases in crimes when including all crimes in an incident relative to following the Hierarchy Rule. They find that 10.6% of incidents have multiple crimes occurring. For violent crime, murder and rape have no change; for the remaining violent crimes - robbery and aggravated assault - crimes increased by 0.6%.^[Murder is not shown in this figure since murder is always reported so cannot change.] Burglary increased by 1% and the largest increases came from theft and motor vehicle theft, increasing by 2.6% and 2.7%, respectively. Curiously, motor vehicle theft increased even though the FBI's documentation for this data says that it is exempt from the Hierarchy Rule and should always be reported. This discrepancy suggests either non-compliance or errors in the FBI's manual. -
-The FBI's findings of how crime reporting changes when using the Hierarchy Rule using NIBRS 2014 data. -

(\#fig:fbiHierarchy)The FBI's findings of how crime reporting changes when using the Hierarchy Rule using NIBRS 2014 data.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{images/fbi_hierarchy} + +} + +\caption{The FBI's findings of how crime reporting changes when using the Hierarchy Rule using NIBRS 2014 data.}(\#fig:fbiHierarchy) +\end{figure} In Table \@ref(tab:nibrsHierarchy) I replicate the FBI's table using NIBRS 2022 data. Results are fairly close. Homicide and rape and unchanged; robbery and aggravated assault both increase by <1%; my count for theft and burglary are a bit smaller, and motor vehicle theft is almost triple the FBI's 2014 number. But these numbers are mostly consistent - particularly so for violent crime - and I expect the differences are just that 2014 and 2022 data are different. So using the Hierarchy Rule does undercount crime, but this is a small undercounting and is primarily led by property crime. Violent crime is only slightly undercounted. And compared to the number of crimes not counted because the victim does not reports it to the police, this is a very small share of crimes. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:nibrsHierarchy)The percent increase in reported crimes for each index crime if the Hierarchy Rule was not used, NIBRS 2022.
Crime % increase without Hierarchy Rule
Homicide 0.00
Rape 0.01
Robbery 0.48
Aggravated Assault 0.78
Burglary 1.69
Theft 1.40
Motor Vehicle Theft 7.12
Arson 7.33
+ +\begin{longtable}[t]{ll} +\caption{(\#tab:nibrsHierarchy)The percent increase in reported crimes for each index crime if the Hierarchy Rule was not used, NIBRS 2022.}\\ +\toprule +Crime & \% increase without Hierarchy Rule\\ +\midrule +\endfirsthead +\caption[]{(\#tab:nibrsHierarchy)The percent increase in reported crimes for each index crime if the Hierarchy Rule was not used, NIBRS 2022. \textit{(continued)}}\\ +\toprule +Crime & \% increase without Hierarchy Rule\\ +\midrule +\endhead + +\endfoot +\bottomrule +\endlastfoot +Homicide & 0.00\\ +Rape & 0.01\\ +Robbery & 0.48\\ +Aggravated Assault & 0.78\\ +Burglary & 1.69\\ +\addlinespace +Theft & 1.40\\ +Motor Vehicle Theft & 7.12\\ +Arson & 7.33\\* +\end{longtable} @@ -125,17 +112,25 @@ One of the first things that people tend to learn about SRS crime data is that i The biggest problem with index crimes is that it is simply the sum of 8 (or 7 since arson data usually isn’t included) crimes. Index crimes have a huge range in their seriousness - it includes, for example, both murder and theft - so summing up the crimes gives each crime equal weight. This approach is flawed as 100 murders is more serious than 100 thefts. This is especially a problem as less serious crimes (theft mostly) are far more common than more serious crimes. In 2017, for example, there were 1.25 million violent index crimes in the United States. That same year had 5.5 million thefts. So using index crimes as your measure of crimes fails to account for the seriousness of crimes. Looking at total index crimes is, in effect, mostly just looking at theft. Looking at violent index crimes alone mostly measures aggravated assault. This is especially a problem because it hides trends in violent crimes. As an example, San Francisco, shown in Figure \@ref(fig:sfThefts), has had a huge increase - about 50% - in index crimes in the last several years. When looking closer, that increase is driven almost entirely by the near doubling of theft since 2011. During the same years, index violent crimes have stayed fairly steady. So the city isn’t getting more dangerous - at least not in terms of violent index crimes increasing - but it appears like it is due to just looking at total index crimes. -
-Thefts and total index crimes in San Francisco, 2000-2023. -

(\#fig:sfThefts)Thefts and total index crimes in San Francisco, 2000-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/sfThefts-1} + +} + +\caption{Thefts and total index crimes in San Francisco, 2000-2023.}(\#fig:sfThefts) +\end{figure} Many researchers divide index crimes into violent and nonviolent categories, which helps but even this is not entirely sufficient. Take Chicago as an example. It is a city infamous for its large number of murders. But as a fraction of index crimes, Chicago has a rounding error worth of murders. Their 653 murders in 2017 is only 0.5% of total index crimes. For violent index crimes, murder made up 2.2% of crimes that year. As seen in Figure \@ref(fig:chicagoMurder), in no year where data is available did murders account for more than 3.5% of violent index crimes; and, while murders are increasing as a percent of violent index crimes they still account for no more than 2.5% in most recent years. What this means is that changes in murder are very difficult to detect. If Chicago had no murders this year, but a less serious crime (such as theft) increased slightly, we could not tell from looking at the number of index crimes, even from violent index crimes. As discussed in the below section, using this sample of crimes as the primary measure of crimes - and particularly of violent crimes - is also misleading as it excludes important - and highly common relative to index crimes - offenses, such as simple assault. -
-Murders in Chicago as a percent of violent index crimes, 1960-2023. -

(\#fig:chicagoMurder)Murders in Chicago as a percent of violent index crimes, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/chicagoMurder-1} + +} + +\caption{Murders in Chicago as a percent of violent index crimes, 1960-2023.}(\#fig:chicagoMurder) +\end{figure} #### What is a violent crime? @@ -150,10 +145,14 @@ The final reason is that it benefits some people's goals to classify violent cri As an example of this last point, Figure \@ref(fig:simpleIndex) shows the number of violent index crimes and simple assaults each year from 1960 to 2018 in Houston, Texas (simple assault is not reported in SRS until 1964, which is why 1960-1963 show zero simple assaults). In every year where simple assault is reported, there are more simple assaults than aggravated assaults. Beginning in the late 1980s, there are also more simple assaults than total violent index crimes. Excluding simple assault from being a violent crime greatly underestimates violence in the country. -
-Reported crimes in Houston, Texas, from 1960 to 2018. Violent index crimes are aggravated assault, rape, robbery, and murder. -

(\#fig:simpleIndex)Reported crimes in Houston, Texas, from 1960 to 2018. Violent index crimes are aggravated assault, rape, robbery, and murder.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/simpleIndex-1} + +} + +\caption{Reported crimes in Houston, Texas, from 1960 to 2018. Violent index crimes are aggravated assault, rape, robbery, and murder.}(\#fig:simpleIndex) +\end{figure} @@ -165,10 +164,14 @@ There are actually two lines throughout this entire figure, though they are near In the data there are 12 columns - one for each month - that says whether the agency reported data in that month. That is what I use in the green line to measure how many months of data that agency reported. I refer to this in the figure and in the data I have released as the "number of months missing." When looking at agencies reporting only a single month the lines are nearly identical, though the last month reported measure is nearly always larger. This changes in 2018 as a result of the data changing, meaning I needed to use different columns to check starting in that year. That means that post-2018 data may not be comparable to 2018 and earlier using this variable. -
-The annual number of agencies reporting at least one month of data and a full 12 months of data, 1960-2023. -

(\#fig:offensesAgenciesReporting)The annual number of agencies reporting at least one month of data and a full 12 months of data, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/offensesAgenciesReporting-1} + +} + +\caption{The annual number of agencies reporting at least one month of data and a full 12 months of data, 1960-2023.}(\#fig:offensesAgenciesReporting) +\end{figure} Usually when you are looking at crime data you want annual data, so having agencies report a full year's of data is more important than them submitting just partial data. This is especially important when comparing an agency over time or two different agencies to each other. Obviously, an agency with 6 month of data will have fewer crimes reported than one with 12 months reported, all else being equal. But this is something easy to overlook as it is an easy assumption that agencies will report a full years-worth of data. Unfortunately, this is always true. Some agencies do not report any data and others report only part of the year - though if an agency reports one month they usually do report all 12. Figure \@ref(fig:offensesAgenciesReportingFull) repeats Figure \@ref(fig:offensesAgenciesReporting) but now showing only agencies reporting 12 months of data, using both of our measures. Since 1960 every year has had fewer agencies reporting full data using the "number of months missing" method than the "last month reported" method. @@ -182,10 +185,14 @@ Negative values occur when the unfounding happens in a later month than the crim So using the far more common last month reported method will overestimate how many agencies report a full year of data. In practice, though, this affects very little data and what it does affect is only overcounted very slightly. At least when aggregating nationally - which I generally advise against since local crime matters a lot more than national averages. Still, let us look the increase in the total number of crimes reported by 12-month reporting agencies increases from the "number of months missing" measure to the "last month reported" measure, shown in Figure \@ref(fig:murdersBothMeasures). The answer is an extremely small increase, averaging (mean = 0.93%, mean = 1.26%) about a one percent point increase each year. The differences in measuring how many months are reported can matter a great deal at the agency-level, but does very little when aggregating nationally. -
-The percent change in the number of murders reported in the United States each year when moving from the number of months missing measure to the last month reported measure, 1960-2020. -

(\#fig:murdersBothMeasures)The percent change in the number of murders reported in the United States each year when moving from the number of months missing measure to the last month reported measure, 1960-2020.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/murdersBothMeasures-1} + +} + +\caption{The percent change in the number of murders reported in the United States each year when moving from the number of months missing measure to the last month reported measure, 1960-2020.}(\#fig:murdersBothMeasures) +\end{figure} ## Important variables @@ -199,10 +206,14 @@ Crimes that are reported that the police find did not occur (e.g. report of an a Figure \@ref(fig:newarkMurders), for example, shows the number of murders per 100,000 population in Newark, NJ, for 1960-2023. One things stands out. Or does not stand out, in a bad way. Newark Police did not report a full year of data in 2015; they reported only 11 months. It is imperceptible in the figure but if you look at the number of months reported in that year - using either the last month reported or the number of months missing measure - you can see that December is missing. While visualizing the data is often a good way to look for outliers or missingness, it is not enough alone. You need to look at the raw data as well to be safe. -
-The annual murder rate per 100,000 people in Newark, NJ, 1960-2023. -

(\#fig:newarkMurders)The annual murder rate per 100,000 people in Newark, NJ, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/newarkMurders-1} + +} + +\caption{The annual murder rate per 100,000 people in Newark, NJ, 1960-2023.}(\#fig:newarkMurders) +\end{figure} Since this is the number of crimes reported and found to occurred, it undercounts the total number of reported crimes. To get that number you will need to add actual crimes to unfounded crimes, which we discuss in Section \@ref({unfounded}). However, unfounded crimes are increasingly not being reported as agencies move to NIBRS reporting which does not capture unfounded crimes. @@ -221,10 +232,14 @@ This means that there are occasionally months - and even years - where there are This is actually a good check to see when people who use this data do not actually understand how it works. I have seen published academic papers that say that having more clearances than actual crimes is a data error; clearly they declined to read the official manual (or this book) before they, their editor, and their anonymous reviewers published the paper. -
-The annual number of actual and cleared murders from the Los Angeles Police Department, 1960-2023. -

(\#fig:lapdClearance)The annual number of actual and cleared murders from the Los Angeles Police Department, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/lapdClearance-1} + +} + +\caption{The annual number of actual and cleared murders from the Los Angeles Police Department, 1960-2023.}(\#fig:lapdClearance) +\end{figure} ### Crimes cleared where all offenders are under 18 years old @@ -240,18 +255,26 @@ Other unfounded crimes would include when someone reports a crime but later says Figure \@ref(fig:frankenmuthRape) provides one example of this by showing the number of burglaries that the Frankenmuth Police, MI, say actually occurred from 1960-2023. In 1977 they reported -1 burglaries, the result of having more cleared than actual burglaries in that year. -
-The number of actual burglaries reported by the Frankenmuth Police Department, MI, 1960-2023. -

(\#fig:frankenmuthRape)The number of actual burglaries reported by the Frankenmuth Police Department, MI, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/frankenmuthRape-1} + +} + +\caption{The number of actual burglaries reported by the Frankenmuth Police Department, MI, 1960-2023.}(\#fig:frankenmuthRape) +\end{figure} While this is a useful variable, it is not captured in NIBRS data. Instead the number of unfounded crimes is always reported as zero. For example, Figure \@ref(fig:denverUnfounded) shows the annual number of unfounded crimes (of any crime type) in Memphis, TN, and Denver, CO, which are two of the earliest large agencies to adopt NIBRS. Memphis started in reporting to NIBRS in 2000 and Denver did so in 2005. These agencies stopped reporting any unfounded crimes either in that or the following year.^[For Memphis, as agencies can report both SRS and NIBRS, that agency may have reported both in 2000 which is why we still see unfounded data that year.] -
-The annual number of unfounded crimes in Denver, CO, 1983-2023. -

(\#fig:denverUnfounded)The annual number of unfounded crimes in Denver, CO, 1983-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/denverUnfounded-1} + +} + +\caption{The annual number of unfounded crimes in Denver, CO, 1983-2023.}(\#fig:denverUnfounded) +\end{figure} ## Important changes @@ -270,10 +293,14 @@ As this revised definition is broader than the original one post-2013, rape data We will start with the Philadelphia Police Department shown in Figure \@ref(fig:rapePhilly). It is declining slowly but steadily over the 2000-2012 time period until spiking sharply in 2013. Since the rape definition change in 2013 is far broader than previous year's definition, this makes sense. A broader definition should lead to a sudden increase in reported rapes if the agency is reporting correctly. -
-The annual number of rapes reported in Philadelphia, San Francisco, New York City, and Jackson, MS, 2005-2019. -

(\#fig:rapePhilly)The annual number of rapes reported in Philadelphia, San Francisco, New York City, and Jackson, MS, 2005-2019.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/rapePhilly-1} + +} + +\caption{The annual number of rapes reported in Philadelphia, San Francisco, New York City, and Jackson, MS, 2005-2019.}(\#fig:rapePhilly) +\end{figure} In comparison, New York City has the sudden spike a year later, which indicates that they did not start using the new definition until 2014. Figure \@ref(fig:rapeNYC) shows that rape is fairly steady, though increasing, in the years leading up to 2013 and has almost no change from 2012 to 2013, but a huge increase in 2014 and then steadily increases from there, spiking again in 2018. This seems like a fairly clear indicator that NYC simply did not follow the new definition until 2014. @@ -291,17 +318,25 @@ This data contains two different crime subcategories for homicide: "murder and n Figure \@ref(fig:manslaughterVsMurder) shows the annual number of murders, manslaughters, and the sum of the two nationwide from 1960-2023. This just sums up the total reported counts from every agency each year so part of the increase is simply due to more agencies reporting as the year gets closer to the present day - so please pay attention to the diverging paths of each crime, not the trend for the individual crime over time. Murder is always more common than manslaughter, but these values are not that far apart in the early decade of data and manslaughter does not become rare until the end of the 1970s. -
-The annual number of murder and non-negligent manslaughter, manslaughter by negligence, and the sum of the two, nationwide from 1960-2023. -

(\#fig:manslaughterVsMurder)The annual number of murder and non-negligent manslaughter, manslaughter by negligence, and the sum of the two, nationwide from 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/manslaughterVsMurder-1} + +} + +\caption{The annual number of murder and non-negligent manslaughter, manslaughter by negligence, and the sum of the two, nationwide from 1960-2023.}(\#fig:manslaughterVsMurder) +\end{figure} Figure \@ref(fig:manslaughterPercent) shows another way to look at this data: manslaughter as a percent of reported murder. In the early years of our data manslaughter was fairly common, with about 70-80% as many manslaughters reported as murders. This declined sharply in the mid-1960s until there were around 45% as many manslaughters as murders in the mid-1970s. Again, this declined until it was about 4% in 1980, and it has remained around there ever since. As police behavior could reduce traffic fatalities - and arrests for DUIs and traffic tickets are designed to improve public safety - it is unfortunate the we no longer have data on traffic deaths. Manslaughter increased to over 1,000 for the first time since 1978 in 2020, increased against to over 1,700 in 2021 and continued at around that number in 2022. This is possibly related to the increase in murders over the last few years of available data. Unfortunately, this dataset does not allow us to do almost anything at figuring out more information than monthly or annual counts. NIBRS, in comparison, allows us to do this kind of deep dive, and for curious readers NIBRS also has manslaughter so you can investigate this question yourself. -
-Reported manslaughter by negligence as a percent of reported murder and non-negligent manslaughter, nationwide 1960-2023. -

(\#fig:manslaughterPercent)Reported manslaughter by negligence as a percent of reported murder and non-negligent manslaughter, nationwide 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/manslaughterPercent-1} + +} + +\caption{Reported manslaughter by negligence as a percent of reported murder and non-negligent manslaughter, nationwide 1960-2023.}(\#fig:manslaughterPercent) +\end{figure} diff --git a/docs/04_stolen_property.md b/docs/04_stolen_property.md index 961ae2d..cccc72a 100644 --- a/docs/04_stolen_property.md +++ b/docs/04_stolen_property.md @@ -14,28 +14,40 @@ Before getting into the details of this data, let us look at one example of how In this case, 2019-2021 data are all partial-year reports, with only 9, 4, and 9 months, respectively, reported for these years. Every previous year other than 1974, 1975, 1988, and 1989^[1974 had11 months, 1975 had 9 months, 1988 had 10 months, and 1989 had 11 months of data.] had a full 12-months of data reported. So it makes sense the 2019-2021 had fewer crimes if they only submitted data for part of the year. This is something that is pretty obvious - you cannot compare 12 months of data with <12 months of data - but it is a common mistake so you should check how many months are reported every time you compare multiple years. -
-The annual number of daytime home burglaries reported in Philadelphia, PA, 1960-2023. -

(\#fig:phillyHomeBurglaryCount)The annual number of daytime home burglaries reported in Philadelphia, PA, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/phillyHomeBurglaryCount-1} + +} + +\caption{The annual number of daytime home burglaries reported in Philadelphia, PA, 1960-2023.}(\#fig:phillyHomeBurglaryCount) +\end{figure} When considering the cost of crime, we also want to know the actually monetary cost of that incident. Figure \@ref(fig:PhillyBurglaryCost) measures this cost of crime by showing the annual value of the property stolen for daytime home burglaries in Philadelphia. The years without 12 months of data are excluded from the figure. Like many variables in this dataset, there is no reported crime value until 1964, so the data shows a value of 0 from 1960-1963. The trend here is different than the previous graph which showed movement in the number of burglaries but not major trend changes until the 2010s; here is a steady increase over the long term, though with varying speed of increase, until it peaked in the late 2000s/early 2010s before declining substantially in recent years. While the number of burglaries peaked in the early 1980s, the total value of burglaries did not peak until the early 2010s, so the cost of this crime (even this very narrow measure of cost) cannot be ascertained from knowing the number of burglaries alone. From this measure we can say that daytime home burglaries were worse in the early 2010s and are substantially better currently. -
-The total annual cost of daytime home burglaries in Philadelphia. -

(\#fig:PhillyBurglaryCost)The total annual cost of daytime home burglaries in Philadelphia.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/PhillyBurglaryCost-1} + +} + +\caption{The total annual cost of daytime home burglaries in Philadelphia.}(\#fig:PhillyBurglaryCost) +\end{figure} The final way we can measure daytime home burglaries is to put the previous variables together to look at the cost per burglary. This will give us the average amount of property stolen from each burglary victim. Figure \@ref(fig:phillyHomeCostPerBurglary) shows the average cost per burglary for each year of data available. Now we have a different story than the other graphs. Even though the number of daytime home burglaries declined substantially over the last decade and the total cost is around the level seen in the 1980s, the cost per burglary remains high in recent years, though down from the peak in the mid-2010s. This suggests that while burglaries are down, the burden on each burglary victim has continued to grow. A perhaps obvious issue here is that we have no way to determining how much outliers are affecting results. If one year has, for example, a home burglary where \$10 million worth of jewelry is stolen then that year's total value of property stolen would be much higher just due to a single burglary. There is, unfortunately, no way to handle this in this dataset, though NIBRS has similar data which does allow you to check for outliers.^[Having an outlier, as long as it is not just a data entry error, should not necessarily mean you remove it. If we removed rare events after all we would have to drop murders from our data as murders are very uncommon crimes.] -
-The annual cost per burglary for daytime home burglaries in Philadelphia, 1960-2023.The annual cost per burglary for daytime home burglaries in Philadelphia, 1960-2023. -

(\#fig:phillyHomeCostPerBurglary)The annual cost per burglary for daytime home burglaries in Philadelphia, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/phillyHomeCostPerBurglary-1} \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/phillyHomeCostPerBurglary-2} + +} + +\caption{The annual cost per burglary for daytime home burglaries in Philadelphia, 1960-2023.}(\#fig:phillyHomeCostPerBurglary) +\end{figure} Part of this - and part of the long-term increase seen in Figure \@ref(fig:PhillyBurglaryCost) - is simply due to inflation. A dollar in 1964, the first year we have data on the value of burglaries, is worth \$9.84 in 2023, according to the Bureau of Labor Statistics.^[Based on June of both years] The values in this data are *not* adjusted for inflation so you need to do that adjustment yourself before any analyses, otherwise your results will be quite a bit off. When we adjust all values to 2023 dollars, as shown in Figure \@ref(fig:phillyHomeCostPerBurglaryInflation), the trend becomes changes a bit. There's still a steady increase in cost per burglary over time but it is far more gradual than in Figure \@ref(fig:phillyHomeCostPerBurglary). And now the difference from the cost in early years and late years are far smaller. @@ -43,17 +55,25 @@ Part of this - and part of the long-term increase seen in Figure \@ref(fig:Phill The data is available from 1960 to the present, though olders years of data have fewer variables reported. Figure \@ref(fig:propertyAgencies) show the number of agencies each year that reported at least one month during that year. In the first several years of data barely any agencies reported data and then it spiked around 1966 to over 6,000 agencies per year then grew quickly until over 12,000 agencies reported data in the late 1970s. From here it actually gradually declined until fewer than 12,000 agencies in the late 1990s before reversing course again and growing to about 15,000 agencies by 2019 - down several hundred agencies from the peak a few years earlier. We see the now-typical drop in 2021 as a result of the FBI's death of SRS and then the partial recovery in 2022 when SRS was reborn. The agencies that still reported in 2021 did so by reporting NIBRS data which the FBI converted to this format. -
-The annual number of police agencies that report at least month of data and 12 months of data that year. -

(\#fig:propertyAgencies)The annual number of police agencies that report at least month of data and 12 months of data that year.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/propertyAgencies-1} + +} + +\caption{The annual number of police agencies that report at least month of data and 12 months of data that year.}(\#fig:propertyAgencies) +\end{figure} Since this data is called the "Supplement to Return A" we would expect that the agencies that report here are the same as the ones that report to the Offenses Known and Clearances by Arrest data, which is also called the Return A dataset. Figure \@ref(fig:agenciesInBoth) shows the percent of agencies in this dataset that are report at least one month of Return A data. Except for the first several years of data in the 1960s, we can see that most years have nearly all agencies reporting to both, though this has declined slightly in recent years. Since the late 1970s, over 90% of agencies that report to the Offenses Known data also report to this dataset. -
-The percent of agencies in the Supplement to Return A data that report at least one month of data, and all 12 months of data, and are also in the Offenses Known and Clearances by Arrest (Return A) data in that year, 1960-2023. -

(\#fig:agenciesInBoth)The percent of agencies in the Supplement to Return A data that report at least one month of data, and all 12 months of data, and are also in the Offenses Known and Clearances by Arrest (Return A) data in that year, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/agenciesInBoth-1} + +} + +\caption{The percent of agencies in the Supplement to Return A data that report at least one month of data, and all 12 months of data, and are also in the Offenses Known and Clearances by Arrest (Return A) data in that year, 1960-2023.}(\#fig:agenciesInBoth) +\end{figure} When filtering the data to agencies that report a full 12 months of both the Return A and the Supplement to Return A, shown in Figure \@ref(fig:agenciesInBoth12Month), trends are quite similar to Figure \@ref(fig:agenciesInBoth) though now the average percent is around 75% rather than 90%. This translates to around 11k agencies though it drops starting in 2018 until fewer than 8,500 agencies report full data to both datasets in 2022. @@ -111,10 +131,14 @@ Theft is divided into two groups. The first group is based on the value of items The first group is a useful example of a problem in this data, which can be seen happening in 1974. In Figure \@ref(fig:theftByValue) we use data from all agencies in the United States that reported 12 months of data to see the share of the total value of thefts by the three value categories. Thefts of between \$50 and \$200 start as the most common at nearly 60% of thefts in 1960 and steadily decline to under 20% by 2022. Thefts of over \$200 increase steadily from about 28% of thefts in 1960 to almost 50% in 1973 and then drop to 16% in 1974. Then the share of thefts over \$200 slowly increases over time to end our data at over 55% of thefts. Thefts valued at under \$50 have a near mirror trend as over $200, starting at under 15% in 1960, declining a bit after that and then massively spiking to 49% in 1974 before starting a slow decline to 27% in 2022. -
-The annual breakdown in total theft value by the three value categories: less than \$50, \$50-\$199, and \$200 and over, among all agencies that reported 12 months of data in that year, 1960-2023. -

(\#fig:theftByValue)The annual breakdown in total theft value by the three value categories: less than \$50, \$50-\$199, and \$200 and over, among all agencies that reported 12 months of data in that year, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/theftByValue-1} + +} + +\caption{The annual breakdown in total theft value by the three value categories: less than \$50, \$50-\$199, and \$200 and over, among all agencies that reported 12 months of data in that year, 1960-2023.}(\#fig:theftByValue) +\end{figure} What caused this weird swap of the less than \$50 and at least \$200 values? Well, part of it is that different agencies report over time so year-to-year comparisons are not really appropriate. Even agencies that report every year may report only some months of data. But we corrected that by filtering the data shown in Figure \@ref(fig:theftByValue) to only agencies that reported 12 months of data. Unfortunately, even doing that is not sufficient, as we can see below. @@ -122,10 +146,14 @@ Figure \@ref(fig:theftByValueCalifornia) replicates Figure \@ref(fig:theftByValu Luckily in this case it was a fairly easy error to find - though I suspect that California is only part of the problem. But it reveals a broader issue with UCR data. The purpose of the data is that it is "Uniform," but we see that entire states can stop reporting certain data even when they say that they report data for all 12 months. Since UCR data is voluntary, agencies can report some, all, or none of the data, which makes it frustrating and time-consuming for researchers to ensure that the results in the data are real and not simply caused by reporting issues. -
-The annual breakdown in total theft value by the three value categories: less than \$50, \$50-\$199, and \$200 and over, among agencies in California that reported 12 months of data in that year, 1960-1980 -

(\#fig:theftByValueCalifornia)The annual breakdown in total theft value by the three value categories: less than \$50, \$50-\$199, and \$200 and over, among agencies in California that reported 12 months of data in that year, 1960-1980

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/theftByValueCalifornia-1} + +} + +\caption{The annual breakdown in total theft value by the three value categories: less than \$50, \$50-\$199, and \$200 and over, among agencies in California that reported 12 months of data in that year, 1960-1980}(\#fig:theftByValueCalifornia) +\end{figure} ### The value of property stolen @@ -232,10 +260,14 @@ Some of the stolen property include variables for both the number of items of th First, we will look at the value of livestock thefts in New York City. Livestock is one of the variables where we know the value stolen and recovered but not how many times it happened. Being a major urban city, we might expect that there are not many livestock animals in the city so the values should be low. Figure \@ref(fig:nycLivestock) shows the annual value of livestock thefts in NYC. There are two major issues here. First, in all but two years they report \$0 in livestock thefts. This is likely wrong since even New York City has some livestock (even just the police horses and the horse carriages tourists like) that probably got stolen. The second issue is the massive spike of reported livestock theft value in 1993 with over \$15 million stolen (the only other year with reported thefts is 1975 with \$87,651 stolen). Clearly NYC did not move from \$0 in thefts for decades to \$15 million in a year and then \$0 again so this appears to be a blatant data error. -
-The annual value of stolen livestock in New York City, 1960-2023. -

(\#fig:nycLivestock)The annual value of stolen livestock in New York City, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/nycLivestock-1} + +} + +\caption{The annual value of stolen livestock in New York City, 1960-2023.}(\#fig:nycLivestock) +\end{figure} It gets harder to determine when a value is a mistake when it is simply a big spike - or drop - in data that otherwise looks correct. Take, for example, the annual value of stolen clothing and fur in Philadelphia from 1960-2019, shown in Figure \@ref(fig:phillyFurValue). The annual value of these stolen items more than doubled in 1989 compared to the previous year and then declined rapidly in the following year. @@ -245,10 +277,14 @@ Philadelphia had several years in this time period where only part of that year' It is also important to have some understanding of what the data *should* look like when trying to figure out what data point may be incorrect. In this figure we see a huge spike in 1989. If we know, for example, that a ring of fur thieves were active this year, then that makes it far more likely that the data is real. This may be a rather odd example, but it is helpful to try to understand the context of the data to better understand when the "weird" data is an error and when it is just "weird but right." -
-The annual value of stolen clothing and fur in Philadelphia, PA, 1960-2019 -

(\#fig:phillyFurValue)The annual value of stolen clothing and fur in Philadelphia, PA, 1960-2019

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/phillyFurValue-1} + +} + +\caption{The annual value of stolen clothing and fur in Philadelphia, PA, 1960-2019}(\#fig:phillyFurValue) +\end{figure} Finally, some errors are so extreme that it is surprising they were not captured during any of the review points from the police officer entering data in their agency's computer to the FBI releasing this data to the public. For example, Figure \@ref(fig:romeBicycles) shows Rome, New York, a city of about 32,000 people in central New York State. Here's what the reported value of bicycles stolen was for Rome in our data.^[For this example we would not worry about years where <12 months of data were reported.] @@ -259,9 +295,13 @@ Bicycles were not the only thing stolen in Rome. Consumable goods such as food a Now, obviously this is not real. This is just an error with the police entering in the wrong price. But the issue is that through all the layers of checks that occurred - checks by the local police, by the state UCR system (though some agencies submit directly to the FBI) and the FBI themselves - failed to prevent this incorrect data from being published. This is an obvious, glaring error. If this slipped through the cracks, what less glaring issue did too? So you cannot just trust that this data is right. You need to check and recheck^[and check again.] everything before using it. This is the right approach for all data, and especially for this data. -
-The annual value of stolen consumable goods, bicycles, livestock, and thefts from pickpocketing, in Rome, New York, 1960-2023. -

(\#fig:romeConsumable)The annual value of stolen consumable goods, bicycles, livestock, and thefts from pickpocketing, in Rome, New York, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/romeConsumable-1} + +} + +\caption{The annual value of stolen consumable goods, bicycles, livestock, and thefts from pickpocketing, in Rome, New York, 1960-2023.}(\#fig:romeConsumable) +\end{figure} The Property Stolen and Recovered dataset offers a useful, though imperfect, view of property crimes and their financial impact. While limitations such as reporting gaps and data inconsistencies exist, careful analysis can still reveal important trends in the types and values of stolen and recovered property. Researchers should approach this data with caution, especially when making year-to-year comparisons or analyzing categories with significant outliers. diff --git a/docs/04_stolen_property_files/figure-html/phillyHomeBurglaryCount-1.png b/docs/04_stolen_property_files/figure-html/phillyHomeBurglaryCount-1.png index 7bd0f57..4f0c64d 100644 Binary files a/docs/04_stolen_property_files/figure-html/phillyHomeBurglaryCount-1.png and b/docs/04_stolen_property_files/figure-html/phillyHomeBurglaryCount-1.png differ diff --git a/docs/05_arrests.md b/docs/05_arrests.md index f1cc794..c0089f4 100644 --- a/docs/05_arrests.md +++ b/docs/05_arrests.md @@ -14,10 +14,14 @@ This data is available from 1974 through 2022 though after 2020 the measure for The first year of data has about 9,000 agencies reporting at least one month and that increases strongly to a little over 13,000 in the late 1970s, staying fairly steady until decreasing in the late 1980s then increasing in the 2000s until approximately 15,000 agencies report. The number of agencies reporting 12 months of data follows a similar trend, but at a lower level with about 4,000 fewer agencies each year. This 15,000, however, still remains under the estimated 18,000 police agencies in the United States and below the reporting rates of UCR data such as the Offenses Known and Clearances by Arrest data. This data is also missing some important cities such as New York City which has not reported even a single month since 2002 and Chicago which tends to only report a single month if at all. -
-The annual number of agencies reporting at least one month of data and 12 months of data in that year. -

(\#fig:arrestsAgenciesReporting)The annual number of agencies reporting at least one month of data and 12 months of data in that year.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/arrestsAgenciesReporting-1} + +} + +\caption{The annual number of agencies reporting at least one month of data and 12 months of data in that year.}(\#fig:arrestsAgenciesReporting) +\end{figure} ## What is an arrest? (what unit is this data in?) @@ -123,10 +127,14 @@ One way to use this data is to look at the age-crime curve of offending. The age Figure \@ref(fig:phillyRapeAge) shows this trend for male arrestees of rape in Philadelphia from 1974-2023, which is every year of data we have available. A major problem with this figure is that some of the ages are for single years and some are for age categories. In the graph there were 793 arrests for rape for people aged 24. The next age is the category of aged 25-29 and there were 3,604 arrests for this age group. One way to address this is to assume that each age in the category has the same number of arrests, so dividing 3,604 by 5 gives us about 721 arrests per age. Assuming equal arrests by age, however, is not consistent with either the literature on the age-crime curve or the findings in this figure for previous ages, as the number of arrests by age is, overall, going down since age 18. So instead of assuming equality, would we assume that older ages have fewer arrests than younger ages (maybe taking the percent change from the previous years where we do have individual ages available)? This is a tricky question to answer and it makes these kinds of analyses really hard to do - and very imprecise since all of your assumptions will be wrong, though hopefully not *too* wrong. -
-The total number of rapes by male arrestees reported by arrestee age in Philadelphia, 1974-2023. -

(\#fig:phillyRapeAge)The total number of rapes by male arrestees reported by arrestee age in Philadelphia, 1974-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/phillyRapeAge-1} + +} + +\caption{The total number of rapes by male arrestees reported by arrestee age in Philadelphia, 1974-2023.}(\#fig:phillyRapeAge) +\end{figure} ### Race @@ -145,19 +153,27 @@ Even though there is information about the specific age of arrestee (or the age Figure \@ref(fig:phillyMarijuanaRacePercent) shows one example of an analysis of this data by showing the percent of arrests of adults for marijuana possession by the arrestee's race in Philadelphia for all years of data we have with a full year of data reported, 1976-2018 At the bottom are American Indian and Asian arrestees who make up nearly none of the arrests for this crime. Black arrestees, shown in green, make up the bulk of arrests with only a few years making up under 60% of arrests and growing to around 80% of arrests since the mid-2000s. As White arrestees, shown in orange, are the only other race category included, they make up a near perfect mirror image of Black arrestees, composing of around 40% of arrests until decreasing starting in the 1990s to end up with about 20% of arrests in recent years. -
-The annual percent of adult marijuana possession arrests in Philadelphia by arrestee race, 1978-2018. -

(\#fig:phillyMarijuanaRacePercent)The annual percent of adult marijuana possession arrests in Philadelphia by arrestee race, 1978-2018.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/phillyMarijuanaRacePercent-1} + +} + +\caption{The annual percent of adult marijuana possession arrests in Philadelphia by arrestee race, 1978-2018.}(\#fig:phillyMarijuanaRacePercent) +\end{figure} Interestingly, while the disparity between Black-White arrests has grown dramatically in recent decades, the total number of arrests have a very different trend as shown in Figure \@ref(fig:phillyMarijuanaRaceCount). Total marijuana possession arrests declined in the mid-1980s then increased in the mid-1990s from only a few hundred arrests in the early 1990s to nearly 5,000 arrests in 2010 before dropping precipitously to under 700 each year in the late-2010s. Yet throughout this latter period as a percent of arrests, Black people consistently grew for years before plateauing around 2007 with a small decline in the last few years of full data. Philadelphia decriminalized marijuana possession in 2014 under Mayor Nutter which is right when the steepest decline in arrests happened. This suggests that who is arrested, in terms of race, is relatively unrelated to the total number of arrests, at least for marijuana in Philadelphia. -
-The annual number of adult marijuana possession arrests in Philadelphia by arrestee race, 1978:2018. -

(\#fig:phillyMarijuanaRaceCount)The annual number of adult marijuana possession arrests in Philadelphia by arrestee race, 1978:2018.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/phillyMarijuanaRaceCount-1} + +} + +\caption{The annual number of adult marijuana possession arrests in Philadelphia by arrestee race, 1978:2018.}(\#fig:phillyMarijuanaRaceCount) +\end{figure} ### Ethnicity @@ -172,17 +188,25 @@ While technically included, the ethnicity variable is largely useless since for Figure \@ref(fig:theftHispanic) shows the annual number of Hispanic arrestees for theft for all agencies that reported any data that year.^[Theft is used as it is one of the most common crimes.] For several years no agencies reported until the number of Hispanic arrestees start climbing in 1980 and peaks in 1986 at about 136,000 arrestees. Then there are zero Hispanic arrestees for a few years, four Hispanic arrestees in 1990 and two non-Hispanic arrests in 1991, and then again zero Hispanic arrestees, this time for decades. Only in 2017 do the number of Hispanic theft arrestees begin to creep up. From 2017 to 2022 (the last year available at the time of this writing) there are Hispanic arrestees reported every year, though now only about 60,000 per year. -
-The national annual number of Hispanic arrestees for theft. This includes all agencies that year that reporting any number of months. Hispanic arrestees include both juvenile and adult arrestees -

(\#fig:theftHispanic)The national annual number of Hispanic arrestees for theft. This includes all agencies that year that reporting any number of months. Hispanic arrestees include both juvenile and adult arrestees

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/theftHispanic-1} + +} + +\caption{The national annual number of Hispanic arrestees for theft. This includes all agencies that year that reporting any number of months. Hispanic arrestees include both juvenile and adult arrestees}(\#fig:theftHispanic) +\end{figure} Perhaps a better way to look at this data is to see what percent of agencies report ethnicity data. Figure \@ref(fig:theftHispanicPercentAgencies) show the percent of agencies each year that report at least one Hispanic or non-Hispanic (which are the only choices, but showing only Hispanic arrests would exclude agencies where no Hispanic people truly were arrested) arrest for theft. About 60% of agencies reported ethnicity data in the early 80s and then only a couple agencies report in 1990 and 1991. Other than those agencies, none report between 1987 and 2016. Starting in 2017, 36% of agencies report and this number has grown by about five percentage points a year until spiking to about 67% in 2021 and it remained steady in 2022. Given the fluctuations in reporting and how many years there is no data, I strongly recommend against using these variables, even for the recent years of data. -
-The annual percent of agencies that report theft arrests that reported at least one Hispanic person or one non-Hispanic person arrested for theft. Arrestees include both juvenile and adult arrestees. -

(\#fig:theftHispanicPercentAgencies)The annual percent of agencies that report theft arrests that reported at least one Hispanic person or one non-Hispanic person arrested for theft. Arrestees include both juvenile and adult arrestees.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/theftHispanicPercentAgencies-1} + +} + +\caption{The annual percent of agencies that report theft arrests that reported at least one Hispanic person or one non-Hispanic person arrested for theft. Arrestees include both juvenile and adult arrestees.}(\#fig:theftHispanicPercentAgencies) +\end{figure} ### Juvenile referrals @@ -201,16 +225,24 @@ Unlike the rest of this dataset where juvenile is defined as being under the age We can look at an example of this in Figure \@ref(fig:JuvenileReferrals) which shows the annual number of referral types in the entire United States from 1974-2023. For all the first couple of years almost all of the referrals have either been that the agency handles the arrest internally and releases the juvenile without any formal charges, or that the juvenile is formally arrested and referred to juvenile court. Since this only happens for a single year it appears to be a data issue.Starting in the late 1990s the number of referrals has declined over time, possibly due fewer juvenile arrests overall during this period. -
-The annual number of juvenile referrals in the United States by referral type, 1974-2020. -

(\#fig:JuvenileReferrals)The annual number of juvenile referrals in the United States by referral type, 1974-2020.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/JuvenileReferrals-1} + +} + +\caption{The annual number of juvenile referrals in the United States by referral type, 1974-2020.}(\#fig:JuvenileReferrals) +\end{figure} In Figure \@ref(fig:JuvenileReferrals) there is a massive spike in referrals to welfare, handled internally, and juvenile court cases in 1976 that occurs for a single year. Was this a year of superpredators? No, it was a year of Michigan data errors. In 1976 many agencies in Michigan provided erroneous data for this variable. This includes, for example, Washtenaw County Sheriff's Office which had a population of 101,452 in 1976 and reported that 150,088 juvenile arrests were reported in welfare. Similarly, Otisville Police Department, population 760, had 10,000 referrals to welfare, and Saginaw Police Department, population 82,000, had 80,074 referrals to welfare, 27,213 referrals to juvenile court, and 6,230 juvenile arrests handled internally. When we remove Michigan, shown in Figure \@ref(fig:JuvenileReferralsNoMichigan), this spike disappears. -
-The annual number of juvenile referrals in the United States excluding agencies in Michigan by referral type, 1974-2020. -

(\#fig:JuvenileReferralsNoMichigan)The annual number of juvenile referrals in the United States excluding agencies in Michigan by referral type, 1974-2020.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/JuvenileReferralsNoMichigan-1} + +} + +\caption{The annual number of juvenile referrals in the United States excluding agencies in Michigan by referral type, 1974-2020.}(\#fig:JuvenileReferralsNoMichigan) +\end{figure} Michigan is unlikely to be the sole state with data issues in 1976, and 1976 is unlikely to be the only year with problems. We can see other spikes in the data such as small ones in 1991 and 2016. I leave the task of discovering the cause of these spikes to the reader. diff --git a/docs/06_shr.md b/docs/06_shr.md index 895ac60..a15a7c1 100644 --- a/docs/06_shr.md +++ b/docs/06_shr.md @@ -17,30 +17,46 @@ Figure \@ref(fig:shrVsOffenses) shows the annual number of homicide victims (inc For the SHR data, in every year the numbers are fairly similar and the trends are the same over time, but the number of homicides is never equal. The numbers have actually gotten worse over time with the difference between the datasets increasing and the Offenses Known data having consistently more murders reported than the SHR data since the late 1990s. Compared to the CDC data, however, both SHR datasets - and in particular the SHR data - undercount the number of homicides. While trends are the same, SHR data reports thousands fewer murders per year than the CDC data, indicating how much of an issue underreporting is in this data. -
-The annual number of murders and nonngeligent manslaughters from the Supplementary Homicide Report and the Offenses Known and Clearances by Arrest dataset, and homicides from the Center for Disease Control (CDC). Numbers differ because agencies voluntarily report and may not report to both datasets. -

(\#fig:shrVsOffenses)The annual number of murders and nonngeligent manslaughters from the Supplementary Homicide Report and the Offenses Known and Clearances by Arrest dataset, and homicides from the Center for Disease Control (CDC). Numbers differ because agencies voluntarily report and may not report to both datasets.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrVsOffenses-1} + +} + +\caption{The annual number of murders and nonngeligent manslaughters from the Supplementary Homicide Report and the Offenses Known and Clearances by Arrest dataset, and homicides from the Center for Disease Control (CDC). Numbers differ because agencies voluntarily report and may not report to both datasets.}(\#fig:shrVsOffenses) +\end{figure} Let us look at Chicago for another example of the differences in reporting from the SHR and the Offenses Known data. Figure \@ref(fig:chicagoSHRvsOffensesKnown) shows the annual number of homicide victims from both datasets. In most years they are pretty similar, excluding a few really odd years in the 1980s and in 1990. But what is also strange is that most years have more SHR victims than Offenses Known victims. So nationally SHR has fewer homicides than Offenses Known but that pattern is reversed in Chicago? This is one of the many quirks of SHR data. And is a warning against treating national trends as local trends; what is true nationally is not always true in your community. So when you use this data, check everything closely. And once you have done that, check it again. -
-The annual number of homicide victims in Chicago, Supplementary Homicide Reports and Offenses Known and Clearances by Arrest, 1976-2023. -

(\#fig:chicagoSHRvsOffensesKnown)The annual number of homicide victims in Chicago, Supplementary Homicide Reports and Offenses Known and Clearances by Arrest, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/chicagoSHRvsOffensesKnown-1} + +} + +\caption{The annual number of homicide victims in Chicago, Supplementary Homicide Reports and Offenses Known and Clearances by Arrest, 1976-2023.}(\#fig:chicagoSHRvsOffensesKnown) +\end{figure} Figures \@ref(fig:shrTopAgenciesCount) and \@ref(fig:shrTopAgenciesCountPercent) attempt to get at this question by looking the number and percent of all incidents that the top 100, 50 and 10 agencies based on number of homicide incidents make up out of all homicide incidents in each year. These agencies are massively disproportionate in how many homicides they represent - though they are also generally the largest cities in the country so are a small number of agencies but a large share of this nation's population. On average, the 10 agencies with the most homicide incidents each year - which may change every year - have over 4,000 homicide incidents and make up about 1/4 of all homicide incidents reported nationally. The top 50 have about 7,500 incidents a year, accounting for 46% of incidents. The top 100 agencies have a bit under 10,000 incidents a year and make up over 55% of all homicide incidents in the United States. So excluding the largest agencies in the country would certainly undercount homicides. -
-The annual number of homicide incidents, showing all agencies, the top 100 agencies (by number of homicide incidents), top 50, and top 10 agencies, 1976-2023. -

(\#fig:shrTopAgenciesCount)The annual number of homicide incidents, showing all agencies, the top 100 agencies (by number of homicide incidents), top 50, and top 10 agencies, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrTopAgenciesCount-1} +} -
-The annual percent of homicide incidents by the top 100 agencies (by number of homicide incidents), top 50, and top 10 agencies, 1976-2023. -

(\#fig:shrTopAgenciesCountPercent)The annual percent of homicide incidents by the top 100 agencies (by number of homicide incidents), top 50, and top 10 agencies, 1976-2023.

-
+\caption{The annual number of homicide incidents, showing all agencies, the top 100 agencies (by number of homicide incidents), top 50, and top 10 agencies, 1976-2023.}(\#fig:shrTopAgenciesCount) +\end{figure} + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrTopAgenciesCountPercent-1} + +} + +\caption{The annual percent of homicide incidents by the top 100 agencies (by number of homicide incidents), top 50, and top 10 agencies, 1976-2023.}(\#fig:shrTopAgenciesCountPercent) +\end{figure} ## Important variables @@ -50,17 +66,25 @@ While there is information on up to 11 victims and offenders, in most cases, the To see how the breakdown for the number of victims in each incident looks, Figure \@ref(fig:numberSHRVictims) shows the percent of incidents with each possible number of victims.^[There are five incident where there are more than 11 victims. For simplicity of the graph, these incident are excluded.] In nearly all incidents - 96.0% - there was only a single victim. This drops to 3.3% of incidents for two victims, 0.5% for three victims, and only about 0.2% of incidents have four or more victims. -
-The percent of incidents that have 1-11 victims. -

(\#fig:numberSHRVictims)The percent of incidents that have 1-11 victims.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/numberSHRVictims-1} + +} + +\caption{The percent of incidents that have 1-11 victims.}(\#fig:numberSHRVictims) +\end{figure} Figure \@ref(fig:numberSHROffenders) shows the breakdown of the number of offenders per homicide incident.^[There are seven incidents with more than 11 offenders. For simplicity of the graph, these incidents are excluded.] It is a little less concentrated than with victims but the vast majority of homicides are committed by one offender - or at least the police only report one offender. About 87.6% of homicides have only one offender, 8.4% have two, 2.5% have three, and 1.5% have four. Fewer than 0.5% of homicides have more than four offenders. However, this is all a bit misleading. In cases where there is no information about the offender, including how many offenders there is, the data simply says that there is a single offender. So the number of homicides with a single offender is an over-count while the number with more offenders is an undercount. -
-The percent of incidents that have 1-11 offenders. -

(\#fig:numberSHROffenders)The percent of incidents that have 1-11 offenders.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/numberSHROffenders-1} + +} + +\caption{The percent of incidents that have 1-11 offenders.}(\#fig:numberSHROffenders) +\end{figure} The variable "situation" says what type of victim-offender number combination the incident is - e.g. "multiple victims/single offender", "single victim/multiple offenders", etc. - and does indicate if the number of offenders is unknown (though curiously there are over 4,000 instances where the number of offenders is unknown but they still say there are two offenders) so you can use this variable to determine if the police do not know how many offenders there is. You're still limited, of course, in that the number of offenders is always what the police think there are, and they may be wrong. So use this variable - and anything that comes from it like the percent of offenders of a certain race - with caution. @@ -78,33 +102,49 @@ Figure \@ref(fig:shrOffenderAge) shows the percent of homicides where the first If you are familiar with the age-crime curve in criminology - which basically says crime peaks in late teen years then falls dramatically - this shows that exact curve, though is older and does not decline as the offender ages as quickly as we see with less serious crimes. -
-The age of homicide offenders, based on the first offender in any homicide incident. Offenders under age 1 (classified as 'birth to 7 days old, including abandoned infant' and '7 days to 364 days old') and considered 0 years old. Offenders reported as '99 years or older' are considered 99 years old. -

(\#fig:shrOffenderAge)The age of homicide offenders, based on the first offender in any homicide incident. Offenders under age 1 (classified as 'birth to 7 days old, including abandoned infant' and '7 days to 364 days old') and considered 0 years old. Offenders reported as '99 years or older' are considered 99 years old.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrOffenderAge-1} + +} + +\caption{The age of homicide offenders, based on the first offender in any homicide incident. Offenders under age 1 (classified as 'birth to 7 days old, including abandoned infant' and '7 days to 364 days old') and considered 0 years old. Offenders reported as '99 years or older' are considered 99 years old.}(\#fig:shrOffenderAge) +\end{figure} Figure \@ref(fig:shrVictimAge) repeats Figure \@ref(fig:shrOffenderAge) but with victim age rather than offender age. The mean victim age (shown in orange) is 33 and the median age is 30. Though the average victim age is a bit younger than the average offender age, trends are relatively similar for teenagers and older where deaths spikes in the late teen years and then declines steadily. The major difference is the U-shape for younger victims - for victims under age 15, homicides peak at age 0 (i.e. younger than their first birthday) with ~1.4% of all homicides being this this age. They then decline until plateauing at around age 6 before increasing again in the early teen years. -
-The age of homicide victims, based on the first victims in any homicide incident. Victims under age 1 (classified as 'birth to 7 days old, including abandoned infant' and '7 days to 364 days old') and considered 0 years old. Victims reported as '99 years or older' are considered 99 years old. -

(\#fig:shrVictimAge)The age of homicide victims, based on the first victims in any homicide incident. Victims under age 1 (classified as 'birth to 7 days old, including abandoned infant' and '7 days to 364 days old') and considered 0 years old. Victims reported as '99 years or older' are considered 99 years old.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrVictimAge-1} + +} + +\caption{The age of homicide victims, based on the first victims in any homicide incident. Victims under age 1 (classified as 'birth to 7 days old, including abandoned infant' and '7 days to 364 days old') and considered 0 years old. Victims reported as '99 years or older' are considered 99 years old.}(\#fig:shrVictimAge) +\end{figure} #### Sex We will next look at victim and offender sex, a simple variable since only male and female are included. About 62.2% of offenders, as seen in Figure \@ref(fig:shrOffenderSex), are male and about 8.2% are female, indicating a large disparity in the sex of homicide offenders. The remaining 29.6% of offenders do not have sex data available because the police do not know the sex of this individual. For offenders who are not arrested, this variable may be inaccurate since it is perceived sex of the offender.^[If we ignore unknown sex, essentially saying that the unknown people will have their sex distributed exactly as the known sex people, 88% are male and 12% are female. However, this assumption is probably wrong since the unknown people may be materially different than the known people, as evidence by them likely not being arrested and committing the crime in a way where even their sex cannot be identified. ] -
-The sex of offender \#1, 1976-2023. -

(\#fig:shrOffenderSex)The sex of offender \#1, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrOffenderSex-1} + +} + +\caption{The sex of offender \#1, 1976-2023.}(\#fig:shrOffenderSex) +\end{figure} There is far less uncertainty for victim sex, with under 0.17% of victims having an unknown sex. Here again there is a large disparity between male and female with about 78.2% of victims being male and 21.6% being female. -
-The sex of victim \#1, 1976-2023. -

(\#fig:shrVictimSex)The sex of victim \#1, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrVictimSex-1} + +} + +\caption{The sex of victim \#1, 1976-2023.}(\#fig:shrVictimSex) +\end{figure} #### Race @@ -112,17 +152,25 @@ This data also includes the race of the victims and offenders. This includes the Figure \@ref(fig:shrOffenderRace) shows the percent of homicides in the data by the race of offender #1. Black and White offenders are included are similar percentages, at 34.3% and 33.6% of victims, respectively. The next most common group is Unknown at about 30.6% of offenders. Given that so many offenders have an unknown race, the reliability of race measures is limited. The remaining races are Asian at 0.9% of offenders, American Indian or Alaskan Native at 0.6%, and Native Hawaiian or Other Pacific Islander at 0.02%. -
-The race of offender \#1, 1976-2023. -

(\#fig:shrOffenderRace)The race of offender \#1, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrOffenderRace-1} + +} + +\caption{The race of offender \#1, 1976-2023.}(\#fig:shrOffenderRace) +\end{figure} For victim race, seen in Figure \@ref(fig:shrVictimRace), only about 1% of victim #1 races are unknown. This means we can be a lot more confident in the race of the victims than in the race of the offender. Similar to offenders, White and Black victims are the two most common races, with 48.4% and 48.1% of victims, respectively. There is a greater share of Asian victims than Asian offenders at 1.5% of victims. American Indian or Alaskan Natives make up 0.8% of victims while Native Hawaiian or Pacific Islanders make up 0.02% of victims. -
-The race of victim \#1, 1976-2023 -

(\#fig:shrVictimRace)The race of victim \#1, 1976-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrVictimRace-1} + +} + +\caption{The race of victim \#1, 1976-2023}(\#fig:shrVictimRace) +\end{figure} #### Ethnicity @@ -130,24 +178,36 @@ The final demographic variable is ethnicity which is whether the victim or offen The vast majority - 69.7% - of offenders have an unknown ethnicity while 23.4% are not Hispanic and 7.1% are Hispanic. -
-The ethnicity of offender \#1, 1976-2023. -

(\#fig:shrOffenderEthnicity)The ethnicity of offender \#1, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrOffenderEthnicity-1} + +} + +\caption{The ethnicity of offender \#1, 1976-2023.}(\#fig:shrOffenderEthnicity) +\end{figure} Unlike the other demographic variables, there is still a huge amount of underreporting when it comes to victim ethnicity, though still less than for offender ethnicity. 55.6% of victims have an unknown ethnicity. Approximately 33.2% of victim #1 are reported as not Hispanic while 11.1% are reported as Hispanic. -
-The ethnicity of victim \#1, 1976-2023. -

(\#fig:shrVictimEthnicity)The ethnicity of victim \#1, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrVictimEthnicity-1} + +} + +\caption{The ethnicity of victim \#1, 1976-2023.}(\#fig:shrVictimEthnicity) +\end{figure} As an example of agencies under-reporting this variable, let us look at the number of offender #1s in Albuquerque, New Mexico, a city which the [US Census](https://www.census.gov/quickfacts/fact/table/albuquerquecitynewmexico,US/PST045222) says is about 50% Hispanic. Yet the Albuquerque police reported no ethnicity information for almost three decades of data. -
-Annual number of offender \#1 who is Hispanic in Albuquerque, New Mexico, 1976-2023. -

(\#fig:ABQ)Annual number of offender \#1 who is Hispanic in Albuquerque, New Mexico, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/ABQ-1} + +} + +\caption{Annual number of offender \#1 who is Hispanic in Albuquerque, New Mexico, 1976-2023.}(\#fig:ABQ) +\end{figure} ### Case characteristics @@ -160,138 +220,84 @@ The first variable we will look at is the weapon used by each offender. Table \@ The most commonly used weapon is a handgun, which is used in nearly half of homicides. This is followed by a knife or other sharp weapon used to cut at almost 15% of homicides, and then by "firearm, type not stated" which is just a firearm where we do not know the exact type (it can include handguns) at 8.9% of homicides The fourth most common weapon is "personal weapons" at nearly 6% of homicides. "Personal weapons" is a weird term to mean that there was no weapon - the "weapon" was the offender who beat the victim to death. Shotguns are involved in almost 5% of homicides and all other weapons are involved in fewer than 5% of cases. In total there are 19 different weapons included though most are very uncommon. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:shrWeapon)The weapon used in a homicide incident, 1976-2023. In cases where there are multiple offenders, shows only the primary weapon for the first offender.
Weapon # of Incidents % of Incidents
Handgun 397,337 48.72\%
Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 101,410 12.43\%
Firearm (Type Not Stated) 76,807 9.42\%
Personal Weapons (Hands, Feet, Teeth, Etc.) 46,605 5.71\%
Other Or Unknown Weapon 45,887 5.63\%
Shotgun 37,038 4.54\%
Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 35,157 4.31\%
Rifle 28,672 3.52\%
Knife Or Cutting Instrument 16,091 1.97\%
Strangulation - Includes Hanging 9,778 1.20\%
Fire 5,482 0.67\%
Asphyxiation - Includes Death By Gas 4,956 0.61\%
Other Firearm 3,892 0.48\%
Drugs/Narcotics/Sleeping Pills 3,834 0.47\%
Drowning 1,384 0.17\%
Poison - Does Not Include Gas 568 0.07\%
Explosives 385 0.05\%
Pushed Or Thrown Out of Window 258 0.03\%
Narcotics Or Drugs 48 0.01\%
Undocumented Code 1 0.00\%
Total 815,590 100\%
+ +\begin{longtable}[t]{l|l|r} +\caption{(\#tab:shrWeapon)The weapon used in a homicide incident, 1976-2023. In cases where there are multiple offenders, shows only the primary weapon for the first offender.}\\ +\hline +Weapon & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:shrWeapon)The weapon used in a homicide incident, 1976-2023. In cases where there are multiple offenders, shows only the primary weapon for the first offender. \textit{(continued)}}\\ +\hline +Weapon & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Handgun & 397,337 & 48.72\textbackslash{}\%\\ +\hline +Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 101,410 & 12.43\textbackslash{}\%\\ +\hline +Firearm (Type Not Stated) & 76,807 & 9.42\textbackslash{}\%\\ +\hline +Personal Weapons (Hands, Feet, Teeth, Etc.) & 46,605 & 5.71\textbackslash{}\%\\ +\hline +Other Or Unknown Weapon & 45,887 & 5.63\textbackslash{}\%\\ +\hline +Shotgun & 37,038 & 4.54\textbackslash{}\%\\ +\hline +Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 35,157 & 4.31\textbackslash{}\%\\ +\hline +Rifle & 28,672 & 3.52\textbackslash{}\%\\ +\hline +Knife Or Cutting Instrument & 16,091 & 1.97\textbackslash{}\%\\ +\hline +Strangulation - Includes Hanging & 9,778 & 1.20\textbackslash{}\%\\ +\hline +Fire & 5,482 & 0.67\textbackslash{}\%\\ +\hline +Asphyxiation - Includes Death By Gas & 4,956 & 0.61\textbackslash{}\%\\ +\hline +Other Firearm & 3,892 & 0.48\textbackslash{}\%\\ +\hline +Drugs/Narcotics/Sleeping Pills & 3,834 & 0.47\textbackslash{}\%\\ +\hline +Drowning & 1,384 & 0.17\textbackslash{}\%\\ +\hline +Poison - Does Not Include Gas & 568 & 0.07\textbackslash{}\%\\ +\hline +Explosives & 385 & 0.05\textbackslash{}\%\\ +\hline +Pushed Or Thrown Out of Window & 258 & 0.03\textbackslash{}\%\\ +\hline +Narcotics Or Drugs & 48 & 0.01\textbackslash{}\%\\ +\hline +Undocumented Code & 1 & 0.00\textbackslash{}\%\\ +\hline +Total & 815,590 & 100\textbackslash{}\%\\ +\hline +\end{longtable} You may have noticed from the table that AR-15 is not included. While AR-15 is the commonly discussed in the media and policy circles as a way to control gun violence, it is not in a category by itself. Instead it is combined with other rifles in the "rifle" weapon group, and makes up about 3.6% of the weapons used by offender #1 in the data. Let us check if AR-15s, through our rough proxy of the "rifle" weapon group, is getting more common over time. Figure \@ref(fig:shrRifle) shows the number of homicide incidents (including manslaughters, so not necessarily all murders) where offender #1 used a rifle. Figure \@ref(fig:shrRiflePercent) shows the percent of all homicide incidents where the the weapon was a rifle. Using both of these measures we can see the rifles are getting less common, declining substantially since 1980 though increasing again starting in the mid-2010s. -
-The annual number of homicide incidents where offender \#1's weapon was a rifle, 1976-2023. -

(\#fig:shrRifle)The annual number of homicide incidents where offender \#1's weapon was a rifle, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrRifle-1} + +} + +\caption{The annual number of homicide incidents where offender \#1's weapon was a rifle, 1976-2023.}(\#fig:shrRifle) +\end{figure} -
-The annual share of homicide incidents where offender \#1's weapon was a rifle, 1976-2023. -

(\#fig:shrRiflePercent)The annual share of homicide incidents where offender \#1's weapon was a rifle, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrRiflePercent-1} + +} + +\caption{The annual share of homicide incidents where offender \#1's weapon was a rifle, 1976-2023.}(\#fig:shrRiflePercent) +\end{figure} Now, maybe this weapon is more commonly used in some types of crimes such as school shootings. You could get at that question using this data by seeing if times when a rifle is used that victims or offenders are younger or if the circumstance is something that suggests a school shooting. Unfortunately there is no offense location variable here, though there is in NIBRS and we can largely recreate this data through NIBRS. And of course you cannot tell if the weapon is actually an AR-15, only if it is a rifle. @@ -301,199 +307,79 @@ An interesting and highly useful variable is the relationship between the first The most common relationship, with about 28% of homicides, is that the police do not know the relationship. So there is a good deal of uncertainty in the relationship between victims and offenders. Next is that the victim is the offender's acquaintance at 19.7% or is a stranger at 15.3%. The next is "other - known to victim" which is similar to being an acquaintance at almost 5% of homicides. This is followed by the victim being the friend of the murderer at 3.6%. The 6th most common relationship, at 3.6% is that the victim is the wife of the offender, so she is murdered by her husband, and is the first familial relationship of this list. The remaining relationships all make up fewer than 3% of all homicides. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:shrRelationship)The relationship between the first victim and the first offender in a homicide incident, 1976-2023.
Relationship Category # of Incidents % of Incidents
Relationship Unknown 307,131 37.66\%
Victim Was Acquaintance 159,491 19.56\%
Victim Was Stranger 124,083 15.21\%
Victim Was Otherwise Known 39,899 4.89\%
Victim Was Friend 29,310 3.59\%
Victim Was Wife 28,516 3.50\%
Victim Was Girlfriend 22,267 2.73\%
Victim Was Other Family 12,242 1.50\%
Victim Was Husband 12,219 1.50\%
Victim Was Son 11,837 1.45\%
Victim Was Boyfriend 10,332 1.27\%
Victim Was Daughter 8,414 1.03\%
Victim Was Neighbor 8,266 1.01\%
Victim Was Brother 7,209 0.88\%
Victim Was Father 5,936 0.73\%
Victim Was Mother 5,486 0.67\%
Victim Was In-Law 4,694 0.58\%
Victim Was Common-Law Wife 3,350 0.41\%
Victim Was Common-Law Husband 2,736 0.34\%
Victim Was Ex-Wife 2,397 0.29\%
Victim Was Stepfather 1,915 0.23\%
Victim Was In A Homosexual Relationship With The Offender 1,708 0.21\%
Victim Was Sister 1,567 0.19\%
Victim Was Stepson 1,530 0.19\%
Victim Was Ex-Husband 951 0.12\%
Victim Was Stepdaughter 808 0.10\%
Victim Was Employer 575 0.07\%
Victim Was Employee 466 0.06\%
Victim Was Stepmother 255 0.03\%
Total 815,590 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:shrRelationship)The relationship between the first victim and the first offender in a homicide incident, 1976-2023.}\\ +\hline +Relationship & Category & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:shrRelationship)The relationship between the first victim and the first offender in a homicide incident, 1976-2023. \textit{(continued)}}\\ +\hline +Relationship & Category & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Relationship Unknown & & 307,131 & 37.66\textbackslash{}\%\\ +\hline +Victim Was Acquaintance & & 159,491 & 19.56\textbackslash{}\%\\ +\hline +Victim Was Stranger & & 124,083 & 15.21\textbackslash{}\%\\ +\hline +Victim Was Otherwise Known & & 39,899 & 4.89\textbackslash{}\%\\ +\hline +Victim Was Friend & & 29,310 & 3.59\textbackslash{}\%\\ +\hline +Victim Was Wife & & 28,516 & 3.50\textbackslash{}\%\\ +\hline +Victim Was Girlfriend & & 22,267 & 2.73\textbackslash{}\%\\ +\hline +Victim Was Other Family & & 12,242 & 1.50\textbackslash{}\%\\ +\hline +Victim Was Husband & & 12,219 & 1.50\textbackslash{}\%\\ +\hline +Victim Was Son & & 11,837 & 1.45\textbackslash{}\%\\ +\hline +Victim Was Boyfriend & & 10,332 & 1.27\textbackslash{}\%\\ +\hline +Victim Was Daughter & & 8,414 & 1.03\textbackslash{}\%\\ +\hline +Victim Was Neighbor & & 8,266 & 1.01\textbackslash{}\%\\ +\hline +Victim Was Brother & & 7,209 & 0.88\textbackslash{}\%\\ +\hline +Victim Was Father & & 5,936 & 0.73\textbackslash{}\%\\ +\hline +Victim Was Mother & & 5,486 & 0.67\textbackslash{}\%\\ +\hline +Victim Was In-Law & & 4,694 & 0.58\textbackslash{}\%\\ +\hline +Victim Was Common-Law Wife & & 3,350 & 0.41\textbackslash{}\%\\ +\hline +Victim Was Common-Law Husband & & 2,736 & 0.34\textbackslash{}\%\\ +\hline +Victim Was Ex-Wife & & 2,397 & 0.29\textbackslash{}\%\\ +\hline +Victim Was Stepfather & & 1,915 & 0.23\textbackslash{}\%\\ +\hline +Victim Was In A Homosexual Relationship With The Offender & & 1,708 & 0.21\textbackslash{}\%\\ +\hline +Victim Was Sister & & 1,567 & 0.19\textbackslash{}\%\\ +\hline +Victim Was Stepson & & 1,530 & 0.19\textbackslash{}\%\\ +\hline +Victim Was Ex-Husband & & 951 & 0.12\textbackslash{}\%\\ +\hline +Victim Was Stepdaughter & & 808 & 0.10\textbackslash{}\%\\ +\hline +Victim Was Employer & & 575 & 0.07\textbackslash{}\%\\ +\hline +Victim Was Employee & & 466 & 0.06\textbackslash{}\%\\ +\hline +Victim Was Stepmother & & 255 & 0.03\textbackslash{}\%\\ +\hline +Total & & 815,590 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -505,241 +391,93 @@ The felony type murders are simply ones where another crime occurred during the The most common circumstances, accounting for 27.4%, 26.9%, and 12.5%, respectively, are "Unknown", "Other Arguments", and "Other Non-Felony Type - Not Specified." Since the data includes "Argument Over Money Or Property" as one category, the "Other Arguments" mean that it is an argument for a reason other than over money or property. The "Other Non-Felony Type" one does not mean that the murder did not occur alongside another crime, but also does not fall into the non-felony categories included. Robbery is the only remaining circumstance with more than 5% of murders, at 7.4%. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:shrCircumstance)The circumstance of the homicide for the first offender in a homicide incident.
Circumstance Category # of Incidents % of Incidents
Unknown 228,621 28.03\%
Other Arguments Non-Felony Type 218,716 26.82\%
Other Non-Felony Type - Not Specified Non-Felony Type 101,778 12.48\%
Robbery Felony Type 59,295 7.27\%
Narcotic Drug Laws Felony Type 29,109 3.57\%
Juvenile Gang Killings Non-Felony Type 24,345 2.98\%
Felon Killed By Police Justifiable Homicide 18,039 2.21\%
Other Felony Type - Not Specified Felony Type 15,760 1.93\%
Brawl Due To Influence of Alcohol Non-Felony Type 15,235 1.87\%
Argument Over Money Or Property Non-Felony Type 15,004 1.84\%
Felon Killed By Private Citizen Justifiable Homicide 14,627 1.79\%
All Suspected Felony Type Felony Type 12,996 1.59\%
All Other Manslaughter By Negligence Except Traffic Deaths Negligent Manslaughter 10,983 1.35\%
Burglary Felony Type 6,467 0.79\%
Domestic Violence (Historically Called Lovers Triangle/Quarrel) 6,456 0.79\%
Gangland Killings Non-Felony Type 6,206 0.76\%
Brawl Due To Influence of Narcotics Non-Felony Type 4,715 0.58\%
Rape Felony Type 4,160 0.51\%
Lovers Triangle Non-Felony Type 4,158 0.51\%
Other Negligent Handling of Gun Which Resulted In Death of Another Negligent Manslaughter 4,111 0.50\%
Arson Felony Type 3,358 0.41\%
Motor Vehicle Theft Felony Type 1,554 0.19\%
Children Playing With Gun Negligent Manslaughter 1,520 0.19\%
Other Sex Offenses Felony Type 1,440 0.18\%
Institutional Killings Non-Felony Type 1,371 0.17\%
Child Killed By Babysitter Non-Felony Type 1,353 0.17\%
Gambling Felony Type 1,041 0.13\%
Larceny Felony Type 975 0.12\%
Prostitution And Commercialized Vice Felony Type 631 0.08\%
Other - Not Specified Felony Type 554 0.07\%
Sniper Attack Non-Felony Type 480 0.06\%
Victim Shot In Hunting Accident Negligent Manslaughter 359 0.04\%
Gun Cleaning Death - Other Than Self-Inflicted Negligent Manslaughter 157 0.02\%
Abortion Felony Type 14 0.00\%
Human Trafficking/Involuntary Servitude 1 0.00\%
Human Trafficking/Commercial Sex Acts 1 0.00\%
Total 815,590 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:shrCircumstance)The circumstance of the homicide for the first offender in a homicide incident.}\\ +\hline +Circumstance & Category & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:shrCircumstance)The circumstance of the homicide for the first offender in a homicide incident. \textit{(continued)}}\\ +\hline +Circumstance & Category & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Unknown & & 228,621 & 28.03\textbackslash{}\%\\ +\hline +Other Arguments & Non-Felony Type & 218,716 & 26.82\textbackslash{}\%\\ +\hline +Other Non-Felony Type - Not Specified & Non-Felony Type & 101,778 & 12.48\textbackslash{}\%\\ +\hline +Robbery & Felony Type & 59,295 & 7.27\textbackslash{}\%\\ +\hline +Narcotic Drug Laws & Felony Type & 29,109 & 3.57\textbackslash{}\%\\ +\hline +Juvenile Gang Killings & Non-Felony Type & 24,345 & 2.98\textbackslash{}\%\\ +\hline +Felon Killed By Police & Justifiable Homicide & 18,039 & 2.21\textbackslash{}\%\\ +\hline +Other Felony Type - Not Specified & Felony Type & 15,760 & 1.93\textbackslash{}\%\\ +\hline +Brawl Due To Influence of Alcohol & Non-Felony Type & 15,235 & 1.87\textbackslash{}\%\\ +\hline +Argument Over Money Or Property & Non-Felony Type & 15,004 & 1.84\textbackslash{}\%\\ +\hline +Felon Killed By Private Citizen & Justifiable Homicide & 14,627 & 1.79\textbackslash{}\%\\ +\hline +All Suspected Felony Type & Felony Type & 12,996 & 1.59\textbackslash{}\%\\ +\hline +All Other Manslaughter By Negligence Except Traffic Deaths & Negligent Manslaughter & 10,983 & 1.35\textbackslash{}\%\\ +\hline +Burglary & Felony Type & 6,467 & 0.79\textbackslash{}\%\\ +\hline +Domestic Violence (Historically Called Lovers Triangle/Quarrel) & & 6,456 & 0.79\textbackslash{}\%\\ +\hline +Gangland Killings & Non-Felony Type & 6,206 & 0.76\textbackslash{}\%\\ +\hline +Brawl Due To Influence of Narcotics & Non-Felony Type & 4,715 & 0.58\textbackslash{}\%\\ +\hline +Rape & Felony Type & 4,160 & 0.51\textbackslash{}\%\\ +\hline +Lovers Triangle & Non-Felony Type & 4,158 & 0.51\textbackslash{}\%\\ +\hline +Other Negligent Handling of Gun Which Resulted In Death of Another & Negligent Manslaughter & 4,111 & 0.50\textbackslash{}\%\\ +\hline +Arson & Felony Type & 3,358 & 0.41\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Felony Type & 1,554 & 0.19\textbackslash{}\%\\ +\hline +Children Playing With Gun & Negligent Manslaughter & 1,520 & 0.19\textbackslash{}\%\\ +\hline +Other Sex Offenses & Felony Type & 1,440 & 0.18\textbackslash{}\%\\ +\hline +Institutional Killings & Non-Felony Type & 1,371 & 0.17\textbackslash{}\%\\ +\hline +Child Killed By Babysitter & Non-Felony Type & 1,353 & 0.17\textbackslash{}\%\\ +\hline +Gambling & Felony Type & 1,041 & 0.13\textbackslash{}\%\\ +\hline +Larceny & Felony Type & 975 & 0.12\textbackslash{}\%\\ +\hline +Prostitution And Commercialized Vice & Felony Type & 631 & 0.08\textbackslash{}\%\\ +\hline +Other - Not Specified & Felony Type & 554 & 0.07\textbackslash{}\%\\ +\hline +Sniper Attack & Non-Felony Type & 480 & 0.06\textbackslash{}\%\\ +\hline +Victim Shot In Hunting Accident & Negligent Manslaughter & 359 & 0.04\textbackslash{}\%\\ +\hline +Gun Cleaning Death - Other Than Self-Inflicted & Negligent Manslaughter & 157 & 0.02\textbackslash{}\%\\ +\hline +Abortion & Felony Type & 14 & 0.00\textbackslash{}\%\\ +\hline +Human Trafficking/Involuntary Servitude & & 1 & 0.00\textbackslash{}\%\\ +\hline +Human Trafficking/Commercial Sex Acts & & 1 & 0.00\textbackslash{}\%\\ +\hline +Total & & 815,590 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -749,58 +487,35 @@ The "subcircumstance" just tells you more information about justifiable homicide This dataset is one source of information on how many people police kill each year. But it is a large undercount compared to other sources such as the Washington Post collection, so is not a very useful source of information on this topic. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:shrSubCircumstance)The circumstance for the first offender in a homicide incident in cases where the offender is killed. This includes incidents where the only person who dies in the offender.
Subcircumstance # of Incidents % of Incidents
Felon Killed In Commission of A Crime 11,312 34.63\%
Felon Attacked Police Officer 9,486 29.04\%
Felon Attacked A Civilian 5,976 18.29\%
Not Enough Information To Determine 2,572 7.87\%
Felon Resisted Arrest 1,296 3.97\%
Felon Attacked Fellow Police Officer 1,175 3.60\%
Felon Attempted Flight From A Crime 849 2.60\%
Total 32,666 100\%
+ +\begin{longtable}[t]{l|l|r} +\caption{(\#tab:shrSubCircumstance)The circumstance for the first offender in a homicide incident in cases where the offender is killed. This includes incidents where the only person who dies in the offender.}\\ +\hline +Subcircumstance & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:shrSubCircumstance)The circumstance for the first offender in a homicide incident in cases where the offender is killed. This includes incidents where the only person who dies in the offender. \textit{(continued)}}\\ +\hline +Subcircumstance & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Felon Killed In Commission of A Crime & 11,312 & 34.63\textbackslash{}\%\\ +\hline +Felon Attacked Police Officer & 9,486 & 29.04\textbackslash{}\%\\ +\hline +Felon Attacked A Civilian & 5,976 & 18.29\textbackslash{}\%\\ +\hline +Not Enough Information To Determine & 2,572 & 7.87\textbackslash{}\%\\ +\hline +Felon Resisted Arrest & 1,296 & 3.97\textbackslash{}\%\\ +\hline +Felon Attacked Fellow Police Officer & 1,175 & 3.60\textbackslash{}\%\\ +\hline +Felon Attempted Flight From A Crime & 849 & 2.60\textbackslash{}\%\\ +\hline +Total & 32,666 & 100\textbackslash{}\%\\ +\hline +\end{longtable} diff --git a/docs/07_leoka.md b/docs/07_leoka.md index c9a9d6d..8d05401 100644 --- a/docs/07_leoka.md +++ b/docs/07_leoka.md @@ -12,10 +12,14 @@ Figure \@ref(fig:leokaAgencies) shows the annual number of police agencies that The decline after 2020 is part of what I have referred to as the "death and rebirth" of the SRS. 2020 was the last year that the FBI accepted SRS data - though in 2022 they began accepting SRS submissions again. As noted in previous chapters, this death and rebirth led to changes in both which agencies reported and what data was reported. In 2021 when only NIBRS was collected, no SRS agencies could report, but even once they began to accept SRS data again the damage was done. Some agencies were transitioning from SRS to NIBRS so reported neither, while others likely made the decision to stick to NIBRS only - perhaps caused by their data vendor no longer supporting SRS data. -
-The annual number of police agencies that report at least month of data, at least one employee, and at least one assault against an officer, 1960-2023 -

(\#fig:leokaAgencies)The annual number of police agencies that report at least month of data, at least one employee, and at least one assault against an officer, 1960-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaAgencies-1} + +} + +\caption{The annual number of police agencies that report at least month of data, at least one employee, and at least one assault against an officer, 1960-2023}(\#fig:leokaAgencies) +\end{figure} Part of the decline we see in Figure \@ref(fig:leokaAgencies) is because starting in 2018 - for reasons I am unsure of - many more agencies started reporting having zero employees. In Figure \@ref(fig:leokaAgenciesEmployees) we can see the annual number of agencies that report having at least one employee (civilian or sworn officer). Compared to Figure \@ref(fig:leokaAgencies) we see more agencies reporting since the 200s, and an earlier but less steep drop in reporting. @@ -37,26 +41,38 @@ One of the claims made around the massive crime spike during Covid is that it wa Well, not quite. This country's population has grown quite a bit since 1960 so we really want to do some kind of rate of officers per civilian population. And as we saw earlier not all agencies report data. So changes over time may really just be changes in which agencies report data. For a good comparison we need to look at only agencies that have reported data for every year we are interested in. And that is all assuming we actually care about national trends which we really should not. Crime is a local issue; what happens in your community - be it whether officers are leaving or crime is increasing - matters a whole lot more than what is happening across the country.^[Of course what happens nationally may be reflected locally, but there is no good reason to focus on national data in lieu of local data.] -
-The number of civilian employees and sworn officers in the United States, 1960-2023 -

(\#fig:leokaNationalEmployees)The number of civilian employees and sworn officers in the United States, 1960-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaNationalEmployees-1} + +} + +\caption{The number of civilian employees and sworn officers in the United States, 1960-2023}(\#fig:leokaNationalEmployees) +\end{figure} So now lets look at a local example: the Philadelphia Police Department as shown in Figure \@ref(fig:leokaCivilianOfficers). The number of civilian employees has remained at a little under 1,000 employees from about 1970 through the end of our data, though declining very slightly since the middle 2000s. This is curious since the city's population and crime trends have changed dramatically over this time and the ability of civilian employees to contribute has also changed, such as that they now have computers.^[The last time I heard, which was several years ago, patrol officers in Philadelphia still had to write up certain reports using typewriters. So tech apparently is still about 1960 level.] In contrast, the number of police has changed far more than civilians, growing rapidly in the 1960s and 1970s to peaking at a little over 8,000 officers in the mid-1970s before declining substantially to the 6,000s. in the late-1980s. As with some larger agencies nationwide, the number of officers increased in the 1990s and then has decreased steadily in ensuing years. By recent years there are about as many officers as in the late-1980s, even though the city's population has grown substantially since then. What stands out is that in 2020 there are zero sworn officers or civilians employees. By 2022 there are fewer sworn officers but more civilian employees than in 2020. 2021 is simply due to Philly reporting zero employees in that year, though obviously this is not actually a reflection of reality. When looking at only one city like we do here it is glaringly obvious that there is a data issue. The problem is that when looking at aggregate data, like we do in Figure \@ref(fig:leokaNationalEmployees) it is much harder, without additional data cleaning steps, to determine what is a data error and what is a true change. -
-The number of civilian employees and sworn officers in the Philadelphia Police Department, 1960-2023 -

(\#fig:leokaCivilianOfficers)The number of civilian employees and sworn officers in the Philadelphia Police Department, 1960-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaCivilianOfficers-1} + +} + +\caption{The number of civilian employees and sworn officers in the Philadelphia Police Department, 1960-2023}(\#fig:leokaCivilianOfficers) +\end{figure} We can also look at the number of officers (or civilian employees) by gender. Figure \@ref(fig:leokaOfficersGender) shows the percent of Philadelphia police officers by gender while Figure \@ref(fig:leokaOfficersGenderCount) shows the number of officers. For the first decade of data all female officers (or civilians) were recorded as male, so that variable should be interpreted as "total officers" until 1971 when it is split into gender. Starting at basically 0% of officers in 1971, female officers grew until they made up about a quarter of officers in 2000 and then has declined slowly since then.^[Please note that since Philly did not report in 2021 the 2021 value is NA, and is shown in the figure as the 2020 data point drawing a straight line to the 2022 data point.] -
-The percent of female and male sworn officers in Philadelphia, 1960-2023 -

(\#fig:leokaOfficersGender)The percent of female and male sworn officers in Philadelphia, 1960-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaOfficersGender-1} + +} + +\caption{The percent of female and male sworn officers in Philadelphia, 1960-2023}(\#fig:leokaOfficersGender) +\end{figure} ### Officers killed @@ -65,19 +81,27 @@ There is almost no information about officers killed. The data only breaks this We can look at what data is available through Figure \@ref(fig:leokaOfficersKilled) which shows the number of Los Angeles Police Department officers killed over time. There are no accidental killings until 1975 though this is misleading because that accidental killings variable is not reported until 1971, which is a year in which many other variables in this data began reporting. So we actually have no idea how many officers were killed accidentally from 1960-1970 since this variable is always reported as 0. In general it seems like there is about one officer killed per year in recent decades while the period from 1980 to 2000 was the time of highest danger with as many as five officers killed in a single year. We can also see some trend changes with felonious killings more common than accidental killings in the 1990s and then accidental killings becoming far more common starting in 2000. -
-The number of officers killed by felony and killed accidentally in New York City, 1960-2023 -

(\#fig:leokaOfficersKilled)The number of officers killed by felony and killed accidentally in New York City, 1960-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaOfficersKilled-1} + +} + +\caption{The number of officers killed by felony and killed accidentally in New York City, 1960-2023}(\#fig:leokaOfficersKilled) +\end{figure} We can also look at the national number of officers killed as shown in Figure \@ref(fig:leokaOfficersKilledNational). Please note that this is simply summing up the number of officers killed by all agencies that report that year so changes over time are certainly partially due to different agencies reporting each year. Therefore, we will focus on interpreting the different between felony and accidental killings rather than counts over time - though even this may be off if agencies that reported more felony or more accidental killings differ in their reporting over time. Again we see that there are no officers killed accidentally, due to that variable not being reported, until 1971. The difference between officers killed by felony and killed accidentally is widest are the start of our data and narrows considerable until there are only several more felonious killings than accidental killings by the late 1990s. This trend reverses in the early 2010s with accidental killings decreasing and felonious killings increasing again. The last several years of data have extremely few officers killed accidentally, with fewer than 10 a year since 2018 and even zero officers killed in 2021. According to the website [Officer Down Memorial Page](https://www.odmp.org/search/year?year=2021), there were 719 officers who died in 2021, including some that should meet the killed accidentally criteria.^[The vast majority of officers who died in 2021 died from Covid.] For example, 23 officers were reported to have been killed by an automobile crash. So this data on officers killed is incorrect, is an undercount, and should be used only with a great deal of caution. -
-The national number of officers killed by felony and killed accidentally, 1960-2023 -

(\#fig:leokaOfficersKilledNational)The national number of officers killed by felony and killed accidentally, 1960-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaOfficersKilledNational-1} + +} + +\caption{The national number of officers killed by felony and killed accidentally, 1960-2023}(\#fig:leokaOfficersKilledNational) +\end{figure} ### Assaults by injury and weapon @@ -96,17 +120,25 @@ This data breaks down the monthly number of assaults on officers in a few differ We can start by looking at the breakdown of assaults by injury and weapon type for officers in the Los Angeles Police Department. Figure \@ref(fig:leokaAssaultTypeInjury) shows the number of assaults from all years reported for these categories. Over the complete time period there were almost 43,000 officers assaulted with about three-quarters of these assaults - 33,000 assaults - leading to no injuries. This data shows the number of officers assaulted, not unique officers, so an officer can potentially be included in the data multiple times if they are assaulted multiple times over a year. A little under a quarter of assaults lead to officer injury with most of these from unarmed offenders. Interestingly, there are far more gun and knife assaults where the officer is not injured than where the officer is injured. There are likely cases when the offender threatens the officer with the weapon but does not shoot or stab the officer. -
-The total number of assaults on officers by injury sustained and offender weapon in Los Angeles, 1960-2023. -

(\#fig:leokaAssaultTypeInjury)The total number of assaults on officers by injury sustained and offender weapon in Los Angeles, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaAssaultTypeInjury-1} + +} + +\caption{The total number of assaults on officers by injury sustained and offender weapon in Los Angeles, 1960-2023.}(\#fig:leokaAssaultTypeInjury) +\end{figure} We can also look at assaults over time. Figure \@ref(fig:leokaAssaultsInjuryYear) shows the number of assaults, assaults with injury, and assault without injury for the Los Angeles Police Department from 1960 to 2018. We can immediately see some data issues are there are years with no assaults recorded. And in the late-2000s there is a sudden drop from about 250 assaults with injuries per year in the previous few decades to nearly zero officer injuries reported a year. This strongly suggests some change in reporting rather than a true decrease in assaults with injuries. For the decades where the data is less obviously wrong, there is a consistent trend of most assaults leading to no injuries, though the distance between the number of injury and non-injury assaults fluctuates over time. -
-The annual number of assaults on officers by injury sustained in New York City, 1960-2023. -

(\#fig:leokaAssaultsInjuryYear)The annual number of assaults on officers by injury sustained in New York City, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaAssaultsInjuryYear-1} + +} + +\caption{The annual number of assaults on officers by injury sustained in New York City, 1960-2023.}(\#fig:leokaAssaultsInjuryYear) +\end{figure} ### Assaults by call type @@ -130,10 +162,14 @@ Figure \@ref(fig:leokaAssaultCallType) shows the number of assaults on Los Angel The most common type of call where officers are assaulted are disturbance calls which include domestic violence and reports of dangerous individuals such as people carrying guns in public. The least common call type is ambush calls, though in these calls the police are called to a scene by the offender who intends to assault or kill the officers, so is likely far more dangerous than other call types, even though it is rare. -
-Assaults on Los Angeles Police Department officers by type of call where they were assaulted at, 1960-2023. -

(\#fig:leokaAssaultCallType)Assaults on Los Angeles Police Department officers by type of call where they were assaulted at, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaAssaultCallType-1} + +} + +\caption{Assaults on Los Angeles Police Department officers by type of call where they were assaulted at, 1960-2023.}(\#fig:leokaAssaultCallType) +\end{figure} Within these call types is also a breakdown by offender weapon use, with the same weapons as above, and the type of officer assignment which is essentially if they are alone or not and if they are on foot or not. Finally, it says how many assaults are cleared by arrest or cleared through exceptional means, though it does not differentiate between the two. The shift assignment is essentially how they go through their normal day, if this is in a vehicle, alone, as a detective, or under a different assignment (including being off-duty). For example, being in a vehicle with two officers means that their normal assignment is driving in a vehicle, not that they were actually assaulted in said vehicle. This also does not necessarily mean that these are the only officers at the scene. It is simply the shift assignment of the officer who is assaulted. For example, if an officer who normally works alone in a vehicle shows up to a scene where other officers are present, and who are under different shift assignments, and gets assaulted - and no one else gets assaulted - that is an assault for officers "in a vehicle alone". @@ -154,17 +190,25 @@ Within these call types is also a breakdown by offender weapon use, with the sam We will look specifically at disturbance calls since they are the most common call type, at least for the Los Angeles Police Department. Figure \@ref(fig:leokaDisturbanceWeapon) shows the total number of disturbance assaults by offender weapon in Los Angeles. Most assaults have an unarmed offender with a sharp decline to the number of offenders with a weapon other than a gun or knife. Assaults by a gun and by a knife are the least common. -
-The number of assaults on Los Angeles Police Department officers in disturbance calls by the injury sustained by the officer, 1960-2023. -

(\#fig:leokaDisturbanceWeapon)The number of assaults on Los Angeles Police Department officers in disturbance calls by the injury sustained by the officer, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaDisturbanceWeapon-1} + +} + +\caption{The number of assaults on Los Angeles Police Department officers in disturbance calls by the injury sustained by the officer, 1960-2023.}(\#fig:leokaDisturbanceWeapon) +\end{figure} Again using disturbance calls for the Los Angeles Police Department, we can look at assaults by the officer assignment, as seen in Figure \@ref(fig:leokaShiftAssignment). In the vast majority of assaults it is of officers who are in a vehicle along with a partner. This drops very sharply to several hundred assaults on detectives who are assisting other officers and then increasingly declines to the other shift assignments to the least common assault being against detectives who are acting alone. So are officers in two-man vehicles are much higher risk of assaults than officers alone or of detectives? Almost certainly not. To determine the risk for officers we need to know how officers are generally deployed. If the vast majority of officers are in two-man cars then it makes sense that the vast majority of assaults are on these assignments. Like most FBI data - and most crime data in general - we have the numerator (in this case the number of assaults by shift assignment type) and do not have a proper denominator (such as the distribution of shift assignments for all LAPD officers) to determine a rate of risk. Without this we can present some descriptive statistics but cannot be more useful by determining, for example, if officers in certain shift assignments are at higher risks of being assaulted. -
-The number of assaults on Los Angeles Police Department officers in disturbance calls by the injury sustained by the shift assignment of the officer, 1960-2023. -

(\#fig:leokaShiftAssignment)The number of assaults on Los Angeles Police Department officers in disturbance calls by the injury sustained by the shift assignment of the officer, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaShiftAssignment-1} + +} + +\caption{The number of assaults on Los Angeles Police Department officers in disturbance calls by the injury sustained by the shift assignment of the officer, 1960-2023.}(\#fig:leokaShiftAssignment) +\end{figure} ### Assaults by time @@ -186,8 +230,12 @@ The final breakdown in assaults is by the time they occur, divided into 12 two-h We will look at these time chunks in Figure \@ref(fig:phoenixAssaultTimes) which shows the total number of assaults by time of day from 1971 to 2018 in Phoenix, Arizona. The most common times for officers to be assaulted looks pretty similar to when crime is highest: late night and early morning. The 12:01am to 2am chunk is the most common time followed by 10pm to midnight, with assaults increasing at the day grows later and at its lowest point from 6-8am. This strongly suggests that officers are assaulted at crime scenes, such as responding to crimes or making arrests.^[In the chapters on NIBRS I will argue against placing too much trust about time which includes midnight, such as the 12:01am to 2am chunk here, because there is evidence that some agencies may use it as the default time when the true time is unknown. That probably happens here as well. While in nearly every officer assault the time should be known, there may still be instances where the reported time is unknown, such as an officer being assaulted at a certain time but forgetting to mark it when entering the report.] -
-The number of assaults against Phoenix Police Department officers by hourly grouping for all years with data available, 1971-2018. -

(\#fig:phoenixAssaultTimes)The number of assaults against Phoenix Police Department officers by hourly grouping for all years with data available, 1971-2018.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/phoenixAssaultTimes-1} + +} + +\caption{The number of assaults against Phoenix Police Department officers by hourly grouping for all years with data available, 1971-2018.}(\#fig:phoenixAssaultTimes) +\end{figure} diff --git a/docs/08_arson.md b/docs/08_arson.md index 70aaa75..a2e9a8d 100644 --- a/docs/08_arson.md +++ b/docs/08_arson.md @@ -18,10 +18,14 @@ This dataset measures how many months that an agency reports data over a year in In Figure \@ref(fig:arsonAgencies) we can see the annual number of agencies that reported at least one month of data using both measures. These measures are nearly identical every year with the last month reported having slightly more agencies reported, but they are effectively the same. This changes in 2018 as my measure declines considerably and then skyrockets to nearly 25,000 agencies in 2021 and 2022. The last month reported variable declines considerably in 2021, consistent with the FBI ending SRS collection, and then rebounds in 2022 when the FBI reopens SRS collection. How can there be more than 18k agencies reporting? The 18k number is the estimated number of agencies that are active: agencies that can respond to crimes and do investigations. Remember that SRS data goes back decades - the Offenses Known data is available since 1930. So agencies can come and go, with agencies shutting down or joining with other agencies. Over time this adds up to thousands of agencies other than the 18k we normal think about. -
-The annual number of police agencies that report at least month of data and all 12 months of data, using both measures of how many months are reported, 1979-2023. -

(\#fig:arsonAgencies)The annual number of police agencies that report at least month of data and all 12 months of data, using both measures of how many months are reported, 1979-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{08_arson_files/figure-latex/arsonAgencies-1} + +} + +\caption{The annual number of police agencies that report at least month of data and all 12 months of data, using both measures of how many months are reported, 1979-2023.}(\#fig:arsonAgencies) +\end{figure} @@ -71,10 +75,14 @@ Please note that this data is at the incident-level which means that having mult Clearances are reported in the month they occur, which may be different than the month when the arson happened. This can create the illusion that more crimes are solved than were reported in certain time periods. Figure \@ref(fig:arsonClearance), for example, shows the number of actual arsons (reports that are founded) and clearances for single-family home arsons in League City, Texas, a city of about 100,000 outside of Houston. In most years there were fewer clearances than arsons, but in four years (1982, 1981, 1992, and 2007) there were more clearances than arsons. -
-The annual number of single-family home arsons and clearances in League City, Texas, 1979-2023. -

(\#fig:arsonClearance)The annual number of single-family home arsons and clearances in League City, Texas, 1979-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{08_arson_files/figure-latex/arsonClearance-1} + +} + +\caption{The annual number of single-family home arsons and clearances in League City, Texas, 1979-2023.}(\#fig:arsonClearance) +\end{figure} ### Cleared for arsons where all offenders are under age 18 @@ -92,14 +100,22 @@ The final variable is the estimated cost of the arson. This is how much the poli As with other SRS datasets, the arson data sometimes includes clear data entry errors, such as reporting implausibly high numbers of arsons for small jurisdictions or recording unrealistic damage estimates. For example, Figure \@ref(fig:residenceArson) shows the annual number of single-family home arsons in Byron City, Illinois, which has a population of slightly over 3,600 people. In every year there are zero arsons reported until 2003 when 469 arsons are reported. Since it is exceedingly unlikely that suddenly an eighth of the city each suffered different arson attacks, and that the city never again had a residence arson, this is almost certainly a data entry error. As arsons are relatively rare, having errors - and especially ones like this - can drastically change the results of your analysis so it is important to check your data carefully for more errors. -
-Annual single-family home arsons in Byron City, Illinois. The sudden spike to over 400 arsons in a single year is an example of data errors in this dataset, 1979-2023. -

(\#fig:residenceArson)Annual single-family home arsons in Byron City, Illinois. The sudden spike to over 400 arsons in a single year is an example of data errors in this dataset, 1979-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{08_arson_files/figure-latex/residenceArson-1} + +} + +\caption{Annual single-family home arsons in Byron City, Illinois. The sudden spike to over 400 arsons in a single year is an example of data errors in this dataset, 1979-2023. }(\#fig:residenceArson) +\end{figure} There are also cases where it is less clear when a value is a data error or is simply due to an outlier - but real - value. For example, Figure \@ref(fig:arsonCost) shows the annual average cost of a single-family home fire in Los Angeles, California. In most years the value is low. Since an arson can cause little or no damage, these low values likely mean that on average only part of the house was damaged, rather than the entire house burning down. In 2009, however, the average damage is about $540,000 per arson. Is this a data entry error that simply inputs a damage value that is too high? It certainly appears to be a data error since it is a sudden huge jump in damage value. However, it could also be that some extraordinarily expensive homes were destroyed that year. In 2009, Los Angeles reported only 63 single-family home arsons so having one, or a few, super mansions - which LA has plenty of - destroyed could mean that this huge value is real. -
-The annual cost per arson for single family homes in Los Angeles, California, 1979-2023. -

(\#fig:arsonCost)The annual cost per arson for single family homes in Los Angeles, California, 1979-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{08_arson_files/figure-latex/arsonCost-1} + +} + +\caption{The annual cost per arson for single family homes in Los Angeles, California, 1979-2023.}(\#fig:arsonCost) +\end{figure} diff --git a/docs/09_hate_crime.md b/docs/09_hate_crime.md index 46cbc45..8435d25 100644 --- a/docs/09_hate_crime.md +++ b/docs/09_hate_crime.md @@ -18,31 +18,47 @@ We will start by looking at how many agencies report hate crime each year. This Figure \@ref(fig:hateAgencies) shows the number of agencies that report at least one hate crime incident in that year. During the first year of data in 1991 there were about 750 agencies reporting and that grew steadily to about 2,000 agencies in year 2000. From there it increased a bit over the next decade before declining to below 1,750 in the early 2010s and rising again to around 3,000 agencies at the end of our data. -
-The annual number of police agencies that report at least one hate crime incident in that year. -

(\#fig:hateAgencies)The annual number of police agencies that report at least one hate crime incident in that year.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateAgencies-1} + +} + +\caption{The annual number of police agencies that report at least one hate crime incident in that year.}(\#fig:hateAgencies) +\end{figure} The 3,000 or so agencies that report each year are not the same every year. Figure \@ref(fig:hateCrimesEver) shows the cumulative number of agencies that have reported at least one hate crime between 1991 and 2022. There is a steady growth in the cumulative number of agencies, with about 350 new agencies each year. In each year some new agencies report hate crimes for the first time while some agencies that reported a hate crime in previous years do not report any hate crimes in the current year. -
-The cumulative number of agencies that have reported one or more hate crimes between 1991 and 2022 -

(\#fig:hateCrimesEver)The cumulative number of agencies that have reported one or more hate crimes between 1991 and 2022

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimesEver-1} + +} + +\caption{The cumulative number of agencies that have reported one or more hate crimes between 1991 and 2022}(\#fig:hateCrimesEver) +\end{figure} Figure \@ref(fig:hateCrimesPreviousYear) puts this into hard numbers by showing the percent of agencies who reported a hate crime in a certain year who *also* reported a hate crime in the previous year. For most years between 50% and 60% of agencies which reported a hate crime in the year shown on the x-axis also reported a hate crime in the previous year, indicating somewhat high consistency in which agencies have hate crimes. -
-The percent of agencies that report a hate crime in a given year that also reported a hate crime in the previous year, 1992-2023 -

(\#fig:hateCrimesPreviousYear)The percent of agencies that report a hate crime in a given year that also reported a hate crime in the previous year, 1992-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimesPreviousYear-1} + +} + +\caption{The percent of agencies that report a hate crime in a given year that also reported a hate crime in the previous year, 1992-2023}(\#fig:hateCrimesPreviousYear) +\end{figure} Another way to understand reporting is to look at the number of reported hate crimes by state and see which states report and which do not. Figure \@ref(fig:hateCrimesMap) does this for 2022 data by showing the number of reported hate crime incidents by state. Unfortunately what we have done here is basically create a population map, though with California as a clear outlier. Counting up and graphing or mapping the number of crimes is a common first response to getting new data but is not actually that helpful. Here we see that the states with the biggest populations - California, New York, Texas, - have the most hate crimes. To be more useful let us look at state-level reporting after adjusting to the number of agencies in the state and to the civilian population. -
-Total reported hate crimes by state, 2023 -

(\#fig:hateCrimesMap)Total reported hate crimes by state, 2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimesMap-1} + +} + +\caption{Total reported hate crimes by state, 2023}(\#fig:hateCrimesMap) +\end{figure} We will start with the rate of agencies reporting though this incorrectly assumes that each agency in the state is comparable. For example, say a state has 10 agencies; one that has jurisdiction over 91% of the state's population, and nine that have jurisdiction over 1% of the population each. If the one big agency reports and none of the nine do then we will say that only 10% of agencies report data. But this one covers 91% of the state so this is actually great coverage. Conversely, having that one agency not report means that even with the other nine agencies reporting we actually cover less than one-tenth of the state's population. Still, this is a useful starting point for understanding this data's reporting and usually answering these kinds of questions requires multiple answers that are all wrong in their own way. @@ -51,10 +67,14 @@ Figure \@ref(fig:statePercentReporting) shows the percent of agencies for each s In 15 states, fewer than 10% of agencies reported a hate crime, and in one state (Pennsylvania) fewer than 5% of agencies did so. One interesting finding from this map is the more liberal states - New Jersey, Washington, California, Connecticut, etc. - have the highest share of agencies reporting a hate crime, indicating that the culture of the state may influence either the propensity of hate crimes, whether victims report, whether agencies report hate crimes, or simply that more hate crimes happen in these areas. -
-The percent of agencies in each state that reported at least one hate crime in 2022, excluding agencies covered by another agency. -

(\#fig:statePercentReporting)The percent of agencies in each state that reported at least one hate crime in 2022, excluding agencies covered by another agency.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/statePercentReporting-1} + +} + +\caption{The percent of agencies in each state that reported at least one hate crime in 2022, excluding agencies covered by another agency.}(\#fig:statePercentReporting) +\end{figure} To examine how population affects our results, Figure \@ref(fig:statePercentReportingPop) shows the percent of each state's population that is covered by an agency that reported at least one hate crime. Results are similar to Figure \@ref(fig:statePercentReporting) but now show that there is more reporting than it appeared in that figure. That is because while not all agencies report a hate crime, the ones that do report are generally larger (in terms of population) than the ones that do not. And that is to be expected since smaller agencies will have fewer crimes than larger ones meaning that it is less likely that have a hate crime. @@ -64,10 +84,14 @@ Is this good? We do not necessarily want 100% of agencies to report a hate crime This is also a fairly poor measure of reporting as it just measures agencies reporting at least one hate crime. If an agency had many hate crimes but only reported very few - and here let us think about that as both agencies not knowing a crime was a hate crime and also knowing but not reporting a hate crime - that is also quite bad for our understanding of hate crimes. However, it is far more likely that a hate crime is not reported than a non-hate crime being reported as a hate crime. Since we know the likely direction of any errors we can think about this entire dataset as being the lower-bound of hate crime data. -
-The percent of population in each state in agencies that reported at least one hate crime in 2022, excluding agencies that are covered by another agency. -

(\#fig:statePercentReportingPop)The percent of population in each state in agencies that reported at least one hate crime in 2022, excluding agencies that are covered by another agency.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/statePercentReportingPop-1} + +} + +\caption{The percent of population in each state in agencies that reported at least one hate crime in 2022, excluding agencies that are covered by another agency.}(\#fig:statePercentReportingPop) +\end{figure} ## Tree of Life synagogue shooting {#treeOfLife} @@ -88,17 +112,25 @@ This data says the exact date that the hate crime occurred on - though not the d -
-The day of the week that hate crimes occurred on, 1991-2023 -

(\#fig:hateCrimesByDay)The day of the week that hate crimes occurred on, 1991-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimesByDay-1} + +} + +\caption{The day of the week that hate crimes occurred on, 1991-2023}(\#fig:hateCrimesByDay) +\end{figure} We can also look at which day of the month is most common, as shown in Figure \@ref(fig:hateCrimesByMonthDay). There's no pattern that I can see other than the the 1st of the most has the most hate crimes and the end of the month has the fewest. Not all months have more than 28 days so it makes sense that the 29th, 30th, and 31st are the least common days. Is the 1st of the month really the most dangerous? I think this is likely just a quirk of the data, and is something we also see in NIBRS data. When an agency does not report an actual date they may use the 1st of the month as a placeholder which then looks to us like the 1st is an especially prolific day for hate crimes. -
-The day of the month that hate crimes occurred on, 1991-2023 -

(\#fig:hateCrimesByMonthDay)The day of the month that hate crimes occurred on, 1991-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimesByMonthDay-1} + +} + +\caption{The day of the month that hate crimes occurred on, 1991-2023}(\#fig:hateCrimesByMonthDay) +\end{figure} ### The bias motivation (who the hate is against) @@ -118,229 +150,89 @@ This sorting makes it easy to see the most common bias motivations, but that is And even this is not that useful since you really need a much deeper dive into the data before pulling out these seemingly simple statistics. For example, maybe areas with more Jewish people have better reporting than areas with more Black people. Or that Jewish victims would report to the police at higher rates than Black victims. Maybe these are both true at certain times between 1992 and 2022 but have changed over the years. It is not hard to think of possible explanations for differences between groups so without running down each of these explanations I recommend caution before putting out even something as seemingly simple at the number of crimes by bias group. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:hateBiasMotivation)The bias motivation for hate crime incidents. In incidents with multiple bias motivation, this shows only the first bias motivation recorded.
Bias Motivation First Year Reported # of Incidents % of Incidents
Total 252,093 100\%
Anti-Black 1991 84,508 33.52\%
Anti-Jewish 1991 31,838 12.63\%
Anti-White 1991 28,192 11.18\%
Anti-Gay (Male) 1991 24,927 9.89\%
Anti-Hispanic Or Latino 1991 16,231 6.44\%
Anti-Other Race, Ethnicity, Ancestry, Or National Origin 1991 11,899 4.72\%
Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 1991 8,684 3.44\%
Anti-Asian 1991 8,088 3.21\%
Anti-Multiple Races, Group 1991 5,876 2.33\%
Anti-Lesbian (Female) 1991 5,041 2.00\%
Anti-Islamic (Muslim) 1991 4,468 1.77\%
Anti-Other Religion 1991 3,741 1.48\%
Anti-American Indian Or Native Alaskan 1991 2,878 1.14\%
Anti-Catholic 1991 1,894 0.75\%
Anti-Transgender 2013 1,855 0.74\%
Anti-Arab 1991 1,633 0.65\%
Anti-Mental Disability 1997 1,439 0.57\%
Anti-Protestant 1991 1,389 0.55\%
Anti-Multiple Religions, Group 1991 1,352 0.54\%
Anti-Physical Disability 1997 870 0.35\%
Anti-Sikh 2015 821 0.33\%
Anti-Bisexual 1991 684 0.27\%
Anti-Gender Non-Conforming 2012 653 0.26\%
Anti-Heterosexual 1991 627 0.25\%
Anti-Female 2012 539 0.21\%
Anti-Other Christian 2015 472 0.19\%
Anti-Eastern Orthodox (Greek, Russian, Other) 2015 441 0.17\%
Anti-Atheism/Agnosticism 1991 218 0.09\%
Anti-Native Hawaiian Or Other Pacific Islander 2013 198 0.08\%
Anti-Male 2013 194 0.08\%
Anti-Buddhist 2015 130 0.05\%
Anti-Hindu 2015 128 0.05\%
Anti-Church of Jesus Christ (Mormon) 2015 118 0.05\%
Anti-Jehovahs Witness 2015 67 0.03\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:hateBiasMotivation)The bias motivation for hate crime incidents. In incidents with multiple bias motivation, this shows only the first bias motivation recorded.}\\ +\hline +Bias Motivation & First Year Reported & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:hateBiasMotivation)The bias motivation for hate crime incidents. In incidents with multiple bias motivation, this shows only the first bias motivation recorded. \textit{(continued)}}\\ +\hline +Bias Motivation & First Year Reported & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Total & & 252,093 & 100\textbackslash{}\%\\ +\hline +Anti-Black & 1991 & 84,508 & 33.52\textbackslash{}\%\\ +\hline +Anti-Jewish & 1991 & 31,838 & 12.63\textbackslash{}\%\\ +\hline +Anti-White & 1991 & 28,192 & 11.18\textbackslash{}\%\\ +\hline +Anti-Gay (Male) & 1991 & 24,927 & 9.89\textbackslash{}\%\\ +\hline +Anti-Hispanic Or Latino & 1991 & 16,231 & 6.44\textbackslash{}\%\\ +\hline +Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 1991 & 11,899 & 4.72\textbackslash{}\%\\ +\hline +Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 1991 & 8,684 & 3.44\textbackslash{}\%\\ +\hline +Anti-Asian & 1991 & 8,088 & 3.21\textbackslash{}\%\\ +\hline +Anti-Multiple Races, Group & 1991 & 5,876 & 2.33\textbackslash{}\%\\ +\hline +Anti-Lesbian (Female) & 1991 & 5,041 & 2.00\textbackslash{}\%\\ +\hline +Anti-Islamic (Muslim) & 1991 & 4,468 & 1.77\textbackslash{}\%\\ +\hline +Anti-Other Religion & 1991 & 3,741 & 1.48\textbackslash{}\%\\ +\hline +Anti-American Indian Or Native Alaskan & 1991 & 2,878 & 1.14\textbackslash{}\%\\ +\hline +Anti-Catholic & 1991 & 1,894 & 0.75\textbackslash{}\%\\ +\hline +Anti-Transgender & 2013 & 1,855 & 0.74\textbackslash{}\%\\ +\hline +Anti-Arab & 1991 & 1,633 & 0.65\textbackslash{}\%\\ +\hline +Anti-Mental Disability & 1997 & 1,439 & 0.57\textbackslash{}\%\\ +\hline +Anti-Protestant & 1991 & 1,389 & 0.55\textbackslash{}\%\\ +\hline +Anti-Multiple Religions, Group & 1991 & 1,352 & 0.54\textbackslash{}\%\\ +\hline +Anti-Physical Disability & 1997 & 870 & 0.35\textbackslash{}\%\\ +\hline +Anti-Sikh & 2015 & 821 & 0.33\textbackslash{}\%\\ +\hline +Anti-Bisexual & 1991 & 684 & 0.27\textbackslash{}\%\\ +\hline +Anti-Gender Non-Conforming & 2012 & 653 & 0.26\textbackslash{}\%\\ +\hline +Anti-Heterosexual & 1991 & 627 & 0.25\textbackslash{}\%\\ +\hline +Anti-Female & 2012 & 539 & 0.21\textbackslash{}\%\\ +\hline +Anti-Other Christian & 2015 & 472 & 0.19\textbackslash{}\%\\ +\hline +Anti-Eastern Orthodox (Greek, Russian, Other) & 2015 & 441 & 0.17\textbackslash{}\%\\ +\hline +Anti-Atheism/Agnosticism & 1991 & 218 & 0.09\textbackslash{}\%\\ +\hline +Anti-Native Hawaiian Or Other Pacific Islander & 2013 & 198 & 0.08\textbackslash{}\%\\ +\hline +Anti-Male & 2013 & 194 & 0.08\textbackslash{}\%\\ +\hline +Anti-Buddhist & 2015 & 130 & 0.05\textbackslash{}\%\\ +\hline +Anti-Hindu & 2015 & 128 & 0.05\textbackslash{}\%\\ +\hline +Anti-Church of Jesus Christ (Mormon) & 2015 & 118 & 0.05\textbackslash{}\%\\ +\hline +Anti-Jehovahs Witness & 2015 & 67 & 0.03\textbackslash{}\%\\ +\hline +\end{longtable} @@ -356,4425 +248,1326 @@ Each hate crime incident can cover up to 10 different crimes occurring - for exa Figure \@ref(fig:crimesPerHateCrime) shows the number of crimes per incident for each hate crime reported between 1991 and 2022. In 96.6% of cases, there is only one offense in that incident.^[In 0.0004% of hate crimes there is no recorded offense. This is not shown in the graph.] This drops sharply to 3.2% of incidents having two offenses, 0.21% having three offenses, 0.019% having four offenses, and 0.002% having five offenses. Even though this data does allow up to 10 offenses per hate crime incident, there has never been a recorded case with more than five offenses. Results are nearly identical when examining the number of bias motivations and locations reported in an incident. -
-The number of offenses per hate crime incident. -

(\#fig:crimesPerHateCrime)The number of offenses per hate crime incident.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/crimesPerHateCrime-1} + +} + +\caption{The number of offenses per hate crime incident.}(\#fig:crimesPerHateCrime) +\end{figure} Nearly all hate crimes are vandalism/destruction of property (30%), intimidation (30%), and simple assault (20%) or aggravated assault (11%) with no remaining crime making up more than 2% of total hate crimes. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:hateOffense)The offense type for hate crime incidents. In incidents with multiple offense types, this shows only the first offense type recorded.
Offense First Year Reported # of Incidents % of Incidents
Total 252,094 100\%
Destruction/Damage/Vandalism of Property 1991 75,524 29.96\%
Assault Offenses - Intimidation 1991 75,381 29.90\%
Assault Offenses - Simple Assault 1991 50,410 20.00\%
Assault Offenses - Aggravated Assault 1991 28,127 11.16\%
Robbery 1991 4,509 1.79\%
Burglary/Breaking And Entering 1991 4,023 1.60\%
Larceny/Theft Offenses - All Other Larceny 1993 3,010 1.19\%
Arson 1991 1,518 0.60\%
Drug/Narcotic Offenses - Drug/Narcotic Violations 1993 1,462 0.58\%
Larceny/Theft Offenses - Theft From Motor Vehicle 1993 942 0.37\%
Larceny/Theft Offenses - Other 1991 925 0.37\%
Larceny/Theft Offenses - Shoplifting 1993 853 0.34\%
Larceny/Theft Offenses - Theft From Building 1994 685 0.27\%
Motor Vehicle Theft 1992 614 0.24\%
Weapon Law Violations 1993 501 0.20\%
Drug/Narcotic Offenses - Drug Equipment Violations 1995 403 0.16\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game 1997 378 0.15\%
Murder/Nonnegligent Manslaughter 1991 348 0.14\%
Sex Offenses - Rape 1991 329 0.13\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 1993 265 0.11\%
Sex Offenses - Fondling - Indecent Liberties/Child Molest 1993 265 0.11\%
Counterfeiting/Forgery 1993 256 0.10\%
Fraud Offenses - Credit Card/Atm Fraud 1995 189 0.07\%
Kidnapping/Abduction 1994 173 0.07\%
Fraud Offenses - Impersonation 2001 155 0.06\%
Stolen Property Offenses (Receiving, Selling, Etc.) 1996 148 0.06\%
Fraud Offenses - Other 2016 122 0.05\%
Pornography/Obscene Material 1995 89 0.04\%
Sex Offenses - Sodomy 1995 86 0.03\%
Extortion/Blackmail 1997 77 0.03\%
Embezzlement 1995 71 0.03\%
Sex Offenses - Sexual Assault With An Object 1996 50 0.02\%
Larceny/Theft Offenses - Purse-Snatching 1995 31 0.01\%
Larceny/Theft Offenses - Pocket-Picking 1996 30 0.01\%
Fraud Offenses - Wire Fraud 2006 29 0.01\%
Sex Offenses - Statutory Rape 1999 22 0.01\%
Undocumented Code 2018 17 0.01\%
Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device 1999 16 0.01\%
Prostitution Offenses - Prostitution 2001 15 0.01\%
Fraud Offenses - Welfare Fraud 1996 10 0.00\%
Negligent Manslaughter 1999 8 0.00\%
Prostitution Offenses - Assisting Or Promoting Prostitution 2013 7 0.00\%
Sex Offenses - Incest 1997 7 0.00\%
Bribery 2014 6 0.00\%
Human Trafficking - Commercial Sex Acts 2017 4 0.00\%
Prostitution Offenses - Purchasing Prostitution 2013 2 0.00\%
Human Trafficking - Involuntary Servitude 2021 1 0.00\%
Gambling Offenses - Betting/Wagering 2017 1 0.00\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:hateOffense)The offense type for hate crime incidents. In incidents with multiple offense types, this shows only the first offense type recorded.}\\ +\hline +Offense & First Year Reported & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:hateOffense)The offense type for hate crime incidents. In incidents with multiple offense types, this shows only the first offense type recorded. \textit{(continued)}}\\ +\hline +Offense & First Year Reported & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Total & & 252,094 & 100\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & 1991 & 75,524 & 29.96\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & 1991 & 75,381 & 29.90\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & 1991 & 50,410 & 20.00\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & 1991 & 28,127 & 11.16\textbackslash{}\%\\ +\hline +Robbery & 1991 & 4,509 & 1.79\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & 1991 & 4,023 & 1.60\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & 1993 & 3,010 & 1.19\textbackslash{}\%\\ +\hline +Arson & 1991 & 1,518 & 0.60\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & 1993 & 1,462 & 0.58\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & 1993 & 942 & 0.37\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Other & 1991 & 925 & 0.37\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & 1993 & 853 & 0.34\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & 1994 & 685 & 0.27\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & 1992 & 614 & 0.24\textbackslash{}\%\\ +\hline +Weapon Law Violations & 1993 & 501 & 0.20\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & 1995 & 403 & 0.16\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & 1997 & 378 & 0.15\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & 1991 & 348 & 0.14\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & 1991 & 329 & 0.13\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 1993 & 265 & 0.11\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling - Indecent Liberties/Child Molest & 1993 & 265 & 0.11\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & 1993 & 256 & 0.10\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & 1995 & 189 & 0.07\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & 1994 & 173 & 0.07\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & 2001 & 155 & 0.06\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & 1996 & 148 & 0.06\textbackslash{}\%\\ +\hline +Fraud Offenses - Other & 2016 & 122 & 0.05\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & 1995 & 89 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & 1995 & 86 & 0.03\textbackslash{}\%\\ +\hline +Extortion/Blackmail & 1997 & 77 & 0.03\textbackslash{}\%\\ +\hline +Embezzlement & 1995 & 71 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & 1996 & 50 & 0.02\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & 1995 & 31 & 0.01\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & 1996 & 30 & 0.01\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & 2006 & 29 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & 1999 & 22 & 0.01\textbackslash{}\%\\ +\hline +Undocumented Code & 2018 & 17 & 0.01\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & 1999 & 16 & 0.01\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & 2001 & 15 & 0.01\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & 1996 & 10 & 0.00\textbackslash{}\%\\ +\hline +Negligent Manslaughter & 1999 & 8 & 0.00\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & 2013 & 7 & 0.00\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & 1997 & 7 & 0.00\textbackslash{}\%\\ +\hline +Bribery & 2014 & 6 & 0.00\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & 2017 & 4 & 0.00\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & 2013 & 2 & 0.00\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & 2021 & 1 & 0.00\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & 2017 & 1 & 0.00\textbackslash{}\%\\ +\hline +\end{longtable} Agencies that report to the FBI's National Incident-Based Reporting System (NIBRS) can also report bias motivations for their crimes, and these reports are included in this dataset. One tricky thing is that the crimes included are different depending on if the agency reported through NIBRS or to the dataset directly, and are not NIBRS reporting agencies. NIBRS agencies report all of the crimes as the agencies directly submitting SRS data, but have a wider variety of crimes they can report. In practice, however, both NIBRS and SRS reporting agencies can report the most common offenses so there is relatively little difference. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:hateBiasOffense)The number and percent of offenses by bias motivation, 2023.
Bias Motivation Offense \# of Incidents \% of Incidents
...1 Anti-American Indian Or Native Alaskan Assault Offenses - Simple Assault 561 19.49\%
...2 Anti-American Indian Or Native Alaskan Assault Offenses - Intimidation 432 15.01\%
...3 Anti-American Indian Or Native Alaskan Destruction/Damage/Vandalism of Property 415 14.42\%
...4 Anti-American Indian Or Native Alaskan Assault Offenses - Aggravated Assault 284 9.87\%
...5 Anti-American Indian Or Native Alaskan Larceny/Theft Offenses - All Other Larceny 202 7.02\%
...6 Anti-American Indian Or Native Alaskan All Other 984 34.16\%
...7 Anti-American Indian Or Native Alaskan Total 2,878 100\%
...8 Anti-Arab Assault Offenses - Intimidation 634 38.82\%
...9 Anti-Arab Assault Offenses - Simple Assault 385 23.58\%
...10 Anti-Arab Destruction/Damage/Vandalism of Property 308 18.86\%
...11 Anti-Arab Assault Offenses - Aggravated Assault 182 11.15\%
...12 Anti-Arab Burglary/Breaking And Entering 21 1.29\%
...13 Anti-Arab All Other 103 6.27\%
...14 Anti-Arab Total 1,633 100\%
...15 Anti-Asian Assault Offenses - Intimidation 2,683 33.17\%
...16 Anti-Asian Destruction/Damage/Vandalism of Property 2,067 25.56\%
...17 Anti-Asian Assault Offenses - Simple Assault 1,920 23.74\%
...18 Anti-Asian Assault Offenses - Aggravated Assault 803 9.93\%
...19 Anti-Asian Burglary/Breaking And Entering 157 1.94\%
...20 Anti-Asian All Other 458 5.63\%
...21 Anti-Asian Total 8,088 100\%
...22 Anti-Atheism/Agnosticism Destruction/Damage/Vandalism of Property 75 34.40\%
...23 Anti-Atheism/Agnosticism Assault Offenses - Simple Assault 25 11.47\%
...24 Anti-Atheism/Agnosticism Larceny/Theft Offenses - All Other Larceny 24 11.01\%
...25 Anti-Atheism/Agnosticism Assault Offenses - Intimidation 21 9.63\%
...26 Anti-Atheism/Agnosticism Burglary/Breaking And Entering 14 6.42\%
...27 Anti-Atheism/Agnosticism All Other 59 27.09\%
...28 Anti-Atheism/Agnosticism Total 218 100\%
...29 Anti-Bisexual Assault Offenses - Simple Assault 196 28.65\%
...30 Anti-Bisexual Assault Offenses - Intimidation 134 19.59\%
...31 Anti-Bisexual Destruction/Damage/Vandalism of Property 93 13.60\%
...32 Anti-Bisexual Assault Offenses - Aggravated Assault 67 9.80\%
...33 Anti-Bisexual Larceny/Theft Offenses - All Other Larceny 47 6.87\%
...34 Anti-Bisexual All Other 147 21.49\%
...35 Anti-Bisexual Total 684 100\%
...36 Anti-Black Assault Offenses - Intimidation 30,996 36.68\%
...37 Anti-Black Destruction/Damage/Vandalism of Property 24,150 28.58\%
...38 Anti-Black Assault Offenses - Simple Assault 15,481 18.32\%
...39 Anti-Black Assault Offenses - Aggravated Assault 10,128 11.98\%
...40 Anti-Black Burglary/Breaking And Entering 1,003 1.19\%
...41 Anti-Black All Other 2,750 3.23\%
...42 Anti-Black Total 84,508 100\%
...43 Anti-Buddhist Destruction/Damage/Vandalism of Property 41 31.54\%
...44 Anti-Buddhist Assault Offenses - Simple Assault 17 13.08\%
...45 Anti-Buddhist Larceny/Theft Offenses - All Other Larceny 13 10.00\%
...46 Anti-Buddhist Assault Offenses - Aggravated Assault 8 6.15\%
...47 Anti-Buddhist Burglary/Breaking And Entering 6 4.62\%
...48 Anti-Buddhist All Other 45 34.65\%
...49 Anti-Buddhist Total 130 100\%
...50 Anti-Catholic Destruction/Damage/Vandalism of Property 1,115 58.87\%
...51 Anti-Catholic Assault Offenses - Intimidation 213 11.25\%
...52 Anti-Catholic Assault Offenses - Simple Assault 97 5.12\%
...53 Anti-Catholic Burglary/Breaking And Entering 86 4.54\%
...54 Anti-Catholic Larceny/Theft Offenses - All Other Larceny 63 3.33\%
...55 Anti-Catholic All Other 320 16.89\%
...56 Anti-Catholic Total 1,894 100\%
...57 Anti-Church of Jesus Christ (Mormon) Destruction/Damage/Vandalism of Property 51 43.22\%
...58 Anti-Church of Jesus Christ (Mormon) Assault Offenses - Intimidation 14 11.86\%
...59 Anti-Church of Jesus Christ (Mormon) Burglary/Breaking And Entering 13 11.02\%
...60 Anti-Church of Jesus Christ (Mormon) Assault Offenses - Simple Assault 12 10.17\%
...61 Anti-Church of Jesus Christ (Mormon) Arson 7 5.93\%
...62 Anti-Church of Jesus Christ (Mormon) All Other 21 17.78\%
...63 Anti-Church of Jesus Christ (Mormon) Total 118 100\%
...64 Anti-Eastern Orthodox (Greek, Russian, Other) Destruction/Damage/Vandalism of Property 74 16.78\%
...65 Anti-Eastern Orthodox (Greek, Russian, Other) Assault Offenses - Simple Assault 49 11.11\%
...66 Anti-Eastern Orthodox (Greek, Russian, Other) Larceny/Theft Offenses - All Other Larceny 49 11.11\%
...67 Anti-Eastern Orthodox (Greek, Russian, Other) Drug/Narcotic Offenses - Drug/Narcotic Violations 41 9.30\%
...68 Anti-Eastern Orthodox (Greek, Russian, Other) Burglary/Breaking And Entering 34 7.71\%
...69 Anti-Eastern Orthodox (Greek, Russian, Other) All Other 194 44.02\%
...70 Anti-Eastern Orthodox (Greek, Russian, Other) Total 441 100\%
...71 Anti-Female Assault Offenses - Intimidation 149 27.64\%
...72 Anti-Female Assault Offenses - Simple Assault 137 25.42\%
...73 Anti-Female Assault Offenses - Aggravated Assault 69 12.80\%
...74 Anti-Female Destruction/Damage/Vandalism of Property 67 12.43\%
...75 Anti-Female Sex Offenses - Rape 16 2.97\%
...76 Anti-Female All Other 101 18.76\%
...77 Anti-Female Total 539 100\%
...78 Anti-Gay (Male) Assault Offenses - Simple Assault 7,944 31.87\%
...79 Anti-Gay (Male) Assault Offenses - Intimidation 6,771 27.16\%
...80 Anti-Gay (Male) Destruction/Damage/Vandalism of Property 4,271 17.13\%
...81 Anti-Gay (Male) Assault Offenses - Aggravated Assault 3,999 16.04\%
...82 Anti-Gay (Male) Robbery 1,079 4.33\%
...83 Anti-Gay (Male) All Other 863 3.48\%
...84 Anti-Gay (Male) Total 24,927 100\%
...85 Anti-Gender Non-Conforming Assault Offenses - Simple Assault 150 22.97\%
...86 Anti-Gender Non-Conforming Destruction/Damage/Vandalism of Property 104 15.93\%
...87 Anti-Gender Non-Conforming Assault Offenses - Intimidation 74 11.33\%
...88 Anti-Gender Non-Conforming Larceny/Theft Offenses - All Other Larceny 58 8.88\%
...89 Anti-Gender Non-Conforming Assault Offenses - Aggravated Assault 57 8.73\%
...90 Anti-Gender Non-Conforming All Other 210 32.16\%
...91 Anti-Gender Non-Conforming Total 653 100\%
...92 Anti-Heterosexual Assault Offenses - Intimidation 156 24.88\%
...93 Anti-Heterosexual Destruction/Damage/Vandalism of Property 154 24.56\%
...94 Anti-Heterosexual Assault Offenses - Simple Assault 116 18.50\%
...95 Anti-Heterosexual Assault Offenses - Aggravated Assault 43 6.86\%
...96 Anti-Heterosexual Larceny/Theft Offenses - All Other Larceny 24 3.83\%
...97 Anti-Heterosexual All Other 134 21.41\%
...98 Anti-Heterosexual Total 627 100\%
...99 Anti-Hindu Assault Offenses - Intimidation 39 30.47\%
...100 Anti-Hindu Destruction/Damage/Vandalism of Property 33 25.78\%
...101 Anti-Hindu Assault Offenses - Simple Assault 25 19.53\%
...102 Anti-Hindu Assault Offenses - Aggravated Assault 8 6.25\%
...103 Anti-Hindu Burglary/Breaking And Entering 5 3.91\%
...104 Anti-Hindu All Other 18 14.04\%
...105 Anti-Hindu Total 128 100\%
...106 Anti-Hispanic Or Latino Assault Offenses - Intimidation 5,033 31.01\%
...107 Anti-Hispanic Or Latino Assault Offenses - Simple Assault 4,278 26.36\%
...108 Anti-Hispanic Or Latino Assault Offenses - Aggravated Assault 2,994 18.45\%
...109 Anti-Hispanic Or Latino Destruction/Damage/Vandalism of Property 2,694 16.60\%
...110 Anti-Hispanic Or Latino Robbery 544 3.35\%
...111 Anti-Hispanic Or Latino All Other 688 4.24\%
...112 Anti-Hispanic Or Latino Total 16,231 100\%
...113 Anti-Islamic (Muslim) Assault Offenses - Intimidation 1,808 40.47\%
...114 Anti-Islamic (Muslim) Destruction/Damage/Vandalism of Property 1,174 26.28\%
...115 Anti-Islamic (Muslim) Assault Offenses - Simple Assault 856 19.16\%
...116 Anti-Islamic (Muslim) Assault Offenses - Aggravated Assault 332 7.43\%
...117 Anti-Islamic (Muslim) Arson 61 1.37\%
...118 Anti-Islamic (Muslim) All Other 237 5.28\%
...119 Anti-Islamic (Muslim) Total 4,468 100\%
...120 Anti-Jehovahs Witness Destruction/Damage/Vandalism of Property 22 32.84\%
...121 Anti-Jehovahs Witness Assault Offenses - Intimidation 10 14.93\%
...122 Anti-Jehovahs Witness Assault Offenses - Simple Assault 9 13.43\%
...123 Anti-Jehovahs Witness Assault Offenses - Aggravated Assault 6 8.96\%
...124 Anti-Jehovahs Witness Larceny/Theft Offenses - All Other Larceny 4 5.97\%
...125 Anti-Jehovahs Witness All Other 16 23.89\%
...126 Anti-Jehovahs Witness Total 67 100\%
...127 Anti-Jewish Destruction/Damage/Vandalism of Property 20,381 64.01\%
...128 Anti-Jewish Assault Offenses - Intimidation 8,246 25.90\%
...129 Anti-Jewish Assault Offenses - Simple Assault 1,665 5.23\%
...130 Anti-Jewish Assault Offenses - Aggravated Assault 471 1.48\%
...131 Anti-Jewish Burglary/Breaking And Entering 341 1.07\%
...132 Anti-Jewish All Other 734 2.32\%
...133 Anti-Jewish Total 31,838 100\%
...134 Anti-Lesbian (Female) Assault Offenses - Intimidation 1,684 33.41\%
...135 Anti-Lesbian (Female) Assault Offenses - Simple Assault 1,284 25.47\%
...136 Anti-Lesbian (Female) Destruction/Damage/Vandalism of Property 1,100 21.82\%
...137 Anti-Lesbian (Female) Assault Offenses - Aggravated Assault 620 12.30\%
...138 Anti-Lesbian (Female) Burglary/Breaking And Entering 64 1.27\%
...139 Anti-Lesbian (Female) All Other 289 5.74\%
...140 Anti-Lesbian (Female) Total 5,041 100\%
...141 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Destruction/Damage/Vandalism of Property 2,488 28.65\%
...142 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Assault Offenses - Intimidation 2,122 24.44\%
...143 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Assault Offenses - Simple Assault 2,104 24.23\%
...144 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Assault Offenses - Aggravated Assault 1,027 11.83\%
...145 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Larceny/Theft Offenses - All Other Larceny 320 3.68\%
...146 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) All Other 623 7.16\%
...147 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Total 8,684 100\%
...148 Anti-Male Assault Offenses - Simple Assault 50 25.77\%
...149 Anti-Male Assault Offenses - Intimidation 41 21.13\%
...150 Anti-Male Destruction/Damage/Vandalism of Property 21 10.82\%
...151 Anti-Male Assault Offenses - Aggravated Assault 19 9.79\%
...152 Anti-Male Burglary/Breaking And Entering 10 5.15\%
...153 Anti-Male All Other 53 27.38\%
...154 Anti-Male Total 194 100\%
...155 Anti-Mental Disability Assault Offenses - Simple Assault 381 26.48\%
...156 Anti-Mental Disability Assault Offenses - Intimidation 223 15.50\%
...157 Anti-Mental Disability Destruction/Damage/Vandalism of Property 177 12.30\%
...158 Anti-Mental Disability Assault Offenses - Aggravated Assault 147 10.22\%
...159 Anti-Mental Disability Larceny/Theft Offenses - All Other Larceny 118 8.20\%
...160 Anti-Mental Disability All Other 393 27.35\%
...161 Anti-Mental Disability Total 1,439 100\%
...162 Anti-Multiple Races, Group Destruction/Damage/Vandalism of Property 2,899 49.34\%
...163 Anti-Multiple Races, Group Assault Offenses - Intimidation 1,570 26.72\%
...164 Anti-Multiple Races, Group Assault Offenses - Simple Assault 657 11.18\%
...165 Anti-Multiple Races, Group Assault Offenses - Aggravated Assault 415 7.06\%
...166 Anti-Multiple Races, Group Burglary/Breaking And Entering 105 1.79\%
...167 Anti-Multiple Races, Group All Other 230 3.93\%
...168 Anti-Multiple Races, Group Total 5,876 100\%
...169 Anti-Multiple Religions, Group Destruction/Damage/Vandalism of Property 793 58.65\%
...170 Anti-Multiple Religions, Group Assault Offenses - Intimidation 204 15.09\%
...171 Anti-Multiple Religions, Group Assault Offenses - Simple Assault 94 6.95\%
...172 Anti-Multiple Religions, Group Larceny/Theft Offenses - All Other Larceny 54 3.99\%
...173 Anti-Multiple Religions, Group Burglary/Breaking And Entering 49 3.62\%
...174 Anti-Multiple Religions, Group All Other 158 11.68\%
...175 Anti-Multiple Religions, Group Total 1,352 100\%
...176 Anti-Native Hawaiian Or Other Pacific Islander Assault Offenses - Simple Assault 40 20.20\%
...177 Anti-Native Hawaiian Or Other Pacific Islander Assault Offenses - Intimidation 27 13.64\%
...178 Anti-Native Hawaiian Or Other Pacific Islander Destruction/Damage/Vandalism of Property 21 10.61\%
...179 Anti-Native Hawaiian Or Other Pacific Islander Assault Offenses - Aggravated Assault 19 9.60\%
...180 Anti-Native Hawaiian Or Other Pacific Islander Larceny/Theft Offenses - All Other Larceny 14 7.07\%
...181 Anti-Native Hawaiian Or Other Pacific Islander All Other 77 38.94\%
...182 Anti-Native Hawaiian Or Other Pacific Islander Total 198 100\%
...183 Anti-Other Christian Destruction/Damage/Vandalism of Property 238 50.42\%
...184 Anti-Other Christian Assault Offenses - Intimidation 80 16.95\%
...185 Anti-Other Christian Assault Offenses - Simple Assault 33 6.99\%
...186 Anti-Other Christian Arson 28 5.93\%
...187 Anti-Other Christian Burglary/Breaking And Entering 25 5.30\%
...188 Anti-Other Christian All Other 68 14.4\%
...189 Anti-Other Christian Total 472 100\%
...190 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Assault Offenses - Intimidation 4,131 34.72\%
...191 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Destruction/Damage/Vandalism of Property 3,378 28.39\%
...192 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Assault Offenses - Simple Assault 2,343 19.69\%
...193 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Assault Offenses - Aggravated Assault 1,164 9.78\%
...194 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Burglary/Breaking And Entering 190 1.60\%
...195 Anti-Other Race, Ethnicity, Ancestry, Or National Origin All Other 693 5.84\%
...196 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Total 11,899 100\%
...197 Anti-Other Religion Destruction/Damage/Vandalism of Property 2,111 56.43\%
...198 Anti-Other Religion Assault Offenses - Intimidation 746 19.94\%
...199 Anti-Other Religion Assault Offenses - Simple Assault 238 6.36\%
...200 Anti-Other Religion Burglary/Breaking And Entering 161 4.30\%
...201 Anti-Other Religion Assault Offenses - Aggravated Assault 119 3.18\%
...202 Anti-Other Religion All Other 366 9.8\%
...203 Anti-Other Religion Total 3,741 100\%
...204 Anti-Physical Disability Assault Offenses - Simple Assault 248 28.51\%
...205 Anti-Physical Disability Assault Offenses - Intimidation 182 20.92\%
...206 Anti-Physical Disability Destruction/Damage/Vandalism of Property 91 10.46\%
...207 Anti-Physical Disability Assault Offenses - Aggravated Assault 78 8.97\%
...208 Anti-Physical Disability Larceny/Theft Offenses - All Other Larceny 69 7.93\%
...209 Anti-Physical Disability All Other 202 23.13\%
...210 Anti-Physical Disability Total 870 100\%
...211 Anti-Protestant Destruction/Damage/Vandalism of Property 818 58.89\%
...212 Anti-Protestant Assault Offenses - Intimidation 134 9.65\%
...213 Anti-Protestant Burglary/Breaking And Entering 93 6.70\%
...214 Anti-Protestant Assault Offenses - Simple Assault 72 5.18\%
...215 Anti-Protestant Larceny/Theft Offenses - All Other Larceny 64 4.61\%
...216 Anti-Protestant All Other 208 14.97\%
...217 Anti-Protestant Total 1,389 100\%
...218 Anti-Sikh Destruction/Damage/Vandalism of Property 124 15.10\%
...219 Anti-Sikh Larceny/Theft Offenses - All Other Larceny 116 14.13\%
...220 Anti-Sikh Assault Offenses - Simple Assault 100 12.18\%
...221 Anti-Sikh Drug/Narcotic Offenses - Drug/Narcotic Violations 62 7.55\%
...222 Anti-Sikh Burglary/Breaking And Entering 53 6.46\%
...223 Anti-Sikh All Other 366 44.56\%
...224 Anti-Sikh Total 821 100\%
...225 Anti-Transgender Assault Offenses - Simple Assault 610 32.88\%
...226 Anti-Transgender Assault Offenses - Intimidation 467 25.18\%
...227 Anti-Transgender Assault Offenses - Aggravated Assault 345 18.60\%
...228 Anti-Transgender Destruction/Damage/Vandalism of Property 164 8.84\%
...229 Anti-Transgender Robbery 71 3.83\%
...230 Anti-Transgender All Other 198 10.65\%
...231 Anti-Transgender Total 1,855 100\%
...232 Anti-White Assault Offenses - Simple Assault 8,233 29.20\%
...233 Anti-White Assault Offenses - Intimidation 6,280 22.28\%
...234 Anti-White Assault Offenses - Aggravated Assault 4,528 16.06\%
...235 Anti-White Destruction/Damage/Vandalism of Property 3,811 13.52\%
...236 Anti-White Robbery 1,153 4.09\%
...237 Anti-White All Other 4,187 14.83\%
...238 Anti-White Total 28,192 100\%
1 Undocumented Code Destruction/Damage/Vandalism of Property 1 100.00\%
NA NA NA NA NA
NA.1 NA NA NA NA
NA.2 NA NA NA NA
NA.3 NA NA NA NA
...244 Undocumented Code All Other NA NA\%
...245 Undocumented Code Total 1 100\%
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:hateOffenseBias)The number and percent of biases by offense, 2023.
Offense Bias Motivation \# of Incidents \% of Incidents
...1 Arson Anti-Black 449 29.58\%
...2 Arson Anti-Jewish 178 11.73\%
...3 Arson Anti-Other Religion 110 7.25\%
...4 Arson Anti-Gay (Male) 97 6.39\%
...5 Arson Anti-White 96 6.32\%
...6 Arson All Other 588 38.75\%
...7 Arson Total 1,518 100\%
...8 Assault Offenses - Aggravated Assault Anti-Black 10,128 36.01\%
...9 Assault Offenses - Aggravated Assault Anti-White 4,528 16.10\%
...10 Assault Offenses - Aggravated Assault Anti-Gay (Male) 3,999 14.22\%
...11 Assault Offenses - Aggravated Assault Anti-Hispanic Or Latino 2,994 10.64\%
...12 Assault Offenses - Aggravated Assault Anti-Other Race, Ethnicity, Ancestry, Or National Origin 1,164 4.14\%
...13 Assault Offenses - Aggravated Assault All Other 5,314 18.89\%
...14 Assault Offenses - Aggravated Assault Total 28,127 100\%
...15 Assault Offenses - Intimidation Anti-Black 30,996 41.12\%
...16 Assault Offenses - Intimidation Anti-Jewish 8,246 10.94\%
...17 Assault Offenses - Intimidation Anti-Gay (Male) 6,771 8.98\%
...18 Assault Offenses - Intimidation Anti-White 6,280 8.33\%
...19 Assault Offenses - Intimidation Anti-Hispanic Or Latino 5,033 6.68\%
...20 Assault Offenses - Intimidation All Other 18,055 23.96\%
...21 Assault Offenses - Intimidation Total 75,381 100\%
...22 Assault Offenses - Simple Assault Anti-Black 15,481 30.71\%
...23 Assault Offenses - Simple Assault Anti-White 8,233 16.33\%
...24 Assault Offenses - Simple Assault Anti-Gay (Male) 7,944 15.76\%
...25 Assault Offenses - Simple Assault Anti-Hispanic Or Latino 4,278 8.49\%
...26 Assault Offenses - Simple Assault Anti-Other Race, Ethnicity, Ancestry, Or National Origin 2,343 4.65\%
...27 Assault Offenses - Simple Assault All Other 12,131 24.06\%
...28 Assault Offenses - Simple Assault Total 50,410 100\%
...29 Bribery Anti-Black 2 33.33\%
...30 Bribery Anti-White 1 16.67\%
...31 Bribery Anti-Heterosexual 1 16.67\%
...32 Bribery Anti-Arab 1 16.67\%
...33 Bribery Anti-Gay (Male) 1 16.67\%
...34 Bribery All Other NA NA\%
...35 Bribery Total 6 100\%
...36 Burglary/Breaking And Entering Anti-Black 1,003 24.93\%
...37 Burglary/Breaking And Entering Anti-White 641 15.93\%
...38 Burglary/Breaking And Entering Anti-Jewish 341 8.48\%
...39 Burglary/Breaking And Entering Anti-Gay (Male) 241 5.99\%
...40 Burglary/Breaking And Entering Anti-Hispanic Or Latino 212 5.27\%
...41 Burglary/Breaking And Entering All Other 1,585 39.4\%
...42 Burglary/Breaking And Entering Total 4,023 100\%
...43 Counterfeiting/Forgery Anti-White 103 40.23\%
...44 Counterfeiting/Forgery Anti-Black 25 9.77\%
...45 Counterfeiting/Forgery Anti-American Indian Or Native Alaskan 21 8.20\%
...46 Counterfeiting/Forgery Anti-Catholic 11 4.30\%
...47 Counterfeiting/Forgery Anti-Sikh 10 3.91\%
...48 Counterfeiting/Forgery All Other 86 33.54\%
...49 Counterfeiting/Forgery Total 256 100\%
...50 Destruction/Damage/Vandalism of Property Anti-Black 24,150 31.98\%
...51 Destruction/Damage/Vandalism of Property Anti-Jewish 20,381 26.99\%
...52 Destruction/Damage/Vandalism of Property Anti-Gay (Male) 4,271 5.66\%
...53 Destruction/Damage/Vandalism of Property Anti-White 3,811 5.05\%
...54 Destruction/Damage/Vandalism of Property Anti-Other Race, Ethnicity, Ancestry, Or National Origin 3,378 4.47\%
...55 Destruction/Damage/Vandalism of Property All Other 19,533 25.87\%
...56 Destruction/Damage/Vandalism of Property Total 75,524 100\%
...57 Drug/Narcotic Offenses - Drug Equipment Violations Anti-White 131 32.51\%
...58 Drug/Narcotic Offenses - Drug Equipment Violations Anti-American Indian Or Native Alaskan 58 14.39\%
...59 Drug/Narcotic Offenses - Drug Equipment Violations Anti-Eastern Orthodox (Greek, Russian, Other) 26 6.45\%
...60 Drug/Narcotic Offenses - Drug Equipment Violations Anti-Sikh 24 5.96\%
...61 Drug/Narcotic Offenses - Drug Equipment Violations Anti-Black 19 4.71\%
...62 Drug/Narcotic Offenses - Drug Equipment Violations All Other 145 35.96\%
...63 Drug/Narcotic Offenses - Drug Equipment Violations Total 403 100\%
...64 Drug/Narcotic Offenses - Drug/Narcotic Violations Anti-White 495 33.86\%
...65 Drug/Narcotic Offenses - Drug/Narcotic Violations Anti-Black 248 16.96\%
...66 Drug/Narcotic Offenses - Drug/Narcotic Violations Anti-American Indian Or Native Alaskan 156 10.67\%
...67 Drug/Narcotic Offenses - Drug/Narcotic Violations Anti-Sikh 62 4.24\%
...68 Drug/Narcotic Offenses - Drug/Narcotic Violations Anti-Hispanic Or Latino 46 3.15\%
...69 Drug/Narcotic Offenses - Drug/Narcotic Violations All Other 455 31.15\%
...70 Drug/Narcotic Offenses - Drug/Narcotic Violations Total 1,462 100\%
...71 Embezzlement Anti-White 24 33.80\%
...72 Embezzlement Anti-American Indian Or Native Alaskan 9 12.68\%
...73 Embezzlement Anti-Mental Disability 6 8.45\%
...74 Embezzlement Anti-Black 5 7.04\%
...75 Embezzlement Anti-Physical Disability 5 7.04\%
...76 Embezzlement All Other 22 31.02\%
...77 Embezzlement Total 71 100\%
...78 Extortion/Blackmail Anti-Gay (Male) 17 22.08\%
...79 Extortion/Blackmail Anti-White 9 11.69\%
...80 Extortion/Blackmail Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 7 9.09\%
...81 Extortion/Blackmail Anti-Black 7 9.09\%
...82 Extortion/Blackmail Anti-Other Race, Ethnicity, Ancestry, Or National Origin 7 9.09\%
...83 Extortion/Blackmail All Other 30 38.97\%
...84 Extortion/Blackmail Total 77 100\%
...85 Fraud Offenses - Credit Card/Atm Fraud Anti-White 57 30.16\%
...86 Fraud Offenses - Credit Card/Atm Fraud Anti-American Indian Or Native Alaskan 18 9.52\%
...87 Fraud Offenses - Credit Card/Atm Fraud Anti-Sikh 14 7.41\%
...88 Fraud Offenses - Credit Card/Atm Fraud Anti-Mental Disability 14 7.41\%
...89 Fraud Offenses - Credit Card/Atm Fraud Anti-Black 10 5.29\%
...90 Fraud Offenses - Credit Card/Atm Fraud All Other 76 40.23\%
...91 Fraud Offenses - Credit Card/Atm Fraud Total 189 100\%
...92 Fraud Offenses - False Pretenses/Swindle/Confidence Game Anti-White 123 32.54\%
...93 Fraud Offenses - False Pretenses/Swindle/Confidence Game Anti-Black 34 8.99\%
...94 Fraud Offenses - False Pretenses/Swindle/Confidence Game Anti-Mental Disability 29 7.67\%
...95 Fraud Offenses - False Pretenses/Swindle/Confidence Game Anti-Sikh 28 7.41\%
...96 Fraud Offenses - False Pretenses/Swindle/Confidence Game Anti-American Indian Or Native Alaskan 18 4.76\%
...97 Fraud Offenses - False Pretenses/Swindle/Confidence Game All Other 146 38.62\%
...98 Fraud Offenses - False Pretenses/Swindle/Confidence Game Total 378 100\%
...99 Fraud Offenses - Impersonation Anti-White 43 27.74\%
...100 Fraud Offenses - Impersonation Anti-Black 23 14.84\%
...101 Fraud Offenses - Impersonation Anti-American Indian Or Native Alaskan 23 14.84\%
...102 Fraud Offenses - Impersonation Anti-Hispanic Or Latino 11 7.10\%
...103 Fraud Offenses - Impersonation Anti-Catholic 5 3.23\%
...104 Fraud Offenses - Impersonation All Other 50 32.32\%
...105 Fraud Offenses - Impersonation Total 155 100\%
...106 Fraud Offenses - Other Anti-White 34 27.87\%
...107 Fraud Offenses - Other Anti-Sikh 12 9.84\%
...108 Fraud Offenses - Other Anti-Black 12 9.84\%
...109 Fraud Offenses - Other Anti-American Indian Or Native Alaskan 12 9.84\%
...110 Fraud Offenses - Other Anti-Mental Disability 6 4.92\%
...111 Fraud Offenses - Other All Other 46 37.72\%
...112 Fraud Offenses - Other Total 122 100\%
1...113 Fraud Offenses - Welfare Fraud Anti-White 6 60.00\%
2...114 Fraud Offenses - Welfare Fraud Anti-Mental Disability 2 20.00\%
3...115 Fraud Offenses - Welfare Fraud Anti-American Indian Or Native Alaskan 1 10.00\%
4...116 Fraud Offenses - Welfare Fraud Anti-Arab 1 10.00\%
NA...117 NA NA NA NA
...118 Fraud Offenses - Welfare Fraud All Other NA NA\%
...119 Fraud Offenses - Welfare Fraud Total 10 100\%
...120 Fraud Offenses - Wire Fraud Anti-White 8 27.59\%
...121 Fraud Offenses - Wire Fraud Anti-Gender Non-Conforming 3 10.34\%
...122 Fraud Offenses - Wire Fraud Anti-Catholic 2 6.90\%
...123 Fraud Offenses - Wire Fraud Anti-Female 2 6.90\%
...124 Fraud Offenses - Wire Fraud Anti-Multiple Races, Group 2 6.90\%
...125 Fraud Offenses - Wire Fraud All Other 12 41.4\%
...126 Fraud Offenses - Wire Fraud Total 29 100\%
1...127 Gambling Offenses - Betting/Wagering Anti-Physical Disability 1 100.00\%
NA...128 NA NA NA NA
NA.1...129 NA NA NA NA
NA.2...130 NA NA NA NA
NA.3...131 NA NA NA NA
...132 Gambling Offenses - Betting/Wagering All Other NA NA\%
...133 Gambling Offenses - Betting/Wagering Total 1 100\%
1...134 Human Trafficking - Commercial Sex Acts Anti-Transgender 1 25.00\%
2...135 Human Trafficking - Commercial Sex Acts Anti-Asian 1 25.00\%
3...136 Human Trafficking - Commercial Sex Acts Anti-Physical Disability 1 25.00\%
4...137 Human Trafficking - Commercial Sex Acts Anti-Black 1 25.00\%
NA...138 NA NA NA NA
...139 Human Trafficking - Commercial Sex Acts All Other NA NA\%
...140 Human Trafficking - Commercial Sex Acts Total 4 100\%
1...141 Human Trafficking - Involuntary Servitude Anti-Female 1 100.00\%
NA...142 NA NA NA NA
NA.1...143 NA NA NA NA
NA.2...144 NA NA NA NA
NA.3...145 NA NA NA NA
...146 Human Trafficking - Involuntary Servitude All Other NA NA\%
...147 Human Trafficking - Involuntary Servitude Total 1 100\%
...148 Kidnapping/Abduction Anti-Black 31 17.92\%
...149 Kidnapping/Abduction Anti-White 31 17.92\%
...150 Kidnapping/Abduction Anti-Gay (Male) 13 7.51\%
...151 Kidnapping/Abduction Anti-Hispanic Or Latino 11 6.36\%
...152 Kidnapping/Abduction Anti-Transgender 9 5.20\%
...153 Kidnapping/Abduction All Other 78 45.08\%
...154 Kidnapping/Abduction Total 173 100\%
...155 Larceny/Theft Offenses - All Other Larceny Anti-White 824 27.38\%
...156 Larceny/Theft Offenses - All Other Larceny Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 320 10.63\%
...157 Larceny/Theft Offenses - All Other Larceny Anti-Black 271 9.00\%
...158 Larceny/Theft Offenses - All Other Larceny Anti-American Indian Or Native Alaskan 202 6.71\%
...159 Larceny/Theft Offenses - All Other Larceny Anti-Mental Disability 118 3.92\%
...160 Larceny/Theft Offenses - All Other Larceny All Other 1,275 42.36\%
...161 Larceny/Theft Offenses - All Other Larceny Total 3,010 100\%
...162 Larceny/Theft Offenses - Other Anti-Black 178 19.24\%
...163 Larceny/Theft Offenses - Other Anti-Jewish 176 19.03\%
...164 Larceny/Theft Offenses - Other Anti-Gay (Male) 84 9.08\%
...165 Larceny/Theft Offenses - Other Anti-White 76 8.22\%
...166 Larceny/Theft Offenses - Other Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 62 6.70\%
...167 Larceny/Theft Offenses - Other All Other 349 37.73\%
...168 Larceny/Theft Offenses - Other Total 925 100\%
...169 Larceny/Theft Offenses - Pocket-Picking Anti-Black 8 26.67\%
...170 Larceny/Theft Offenses - Pocket-Picking Anti-White 7 23.33\%
...171 Larceny/Theft Offenses - Pocket-Picking Anti-Hispanic Or Latino 4 13.33\%
...172 Larceny/Theft Offenses - Pocket-Picking Anti-American Indian Or Native Alaskan 3 10.00\%
...173 Larceny/Theft Offenses - Pocket-Picking Anti-Physical Disability 2 6.67\%
...174 Larceny/Theft Offenses - Pocket-Picking All Other 6 19.98\%
...175 Larceny/Theft Offenses - Pocket-Picking Total 30 100\%
...176 Larceny/Theft Offenses - Purse-Snatching Anti-White 10 32.26\%
...177 Larceny/Theft Offenses - Purse-Snatching Anti-Black 3 9.68\%
...178 Larceny/Theft Offenses - Purse-Snatching Anti-American Indian Or Native Alaskan 3 9.68\%
...179 Larceny/Theft Offenses - Purse-Snatching Anti-Gay (Male) 2 6.45\%
...180 Larceny/Theft Offenses - Purse-Snatching Anti-Bisexual 2 6.45\%
...181 Larceny/Theft Offenses - Purse-Snatching All Other 11 35.51\%
...182 Larceny/Theft Offenses - Purse-Snatching Total 31 100\%
...183 Larceny/Theft Offenses - Shoplifting Anti-White 285 33.41\%
...184 Larceny/Theft Offenses - Shoplifting Anti-Black 92 10.79\%
...185 Larceny/Theft Offenses - Shoplifting Anti-American Indian Or Native Alaskan 88 10.32\%
...186 Larceny/Theft Offenses - Shoplifting Anti-Sikh 35 4.10\%
...187 Larceny/Theft Offenses - Shoplifting Anti-Other Race, Ethnicity, Ancestry, Or National Origin 31 3.63\%
...188 Larceny/Theft Offenses - Shoplifting All Other 322 37.77\%
...189 Larceny/Theft Offenses - Shoplifting Total 853 100\%
...190 Larceny/Theft Offenses - Theft From Building Anti-White 206 30.07\%
...191 Larceny/Theft Offenses - Theft From Building Anti-Black 61 8.91\%
...192 Larceny/Theft Offenses - Theft From Building Anti-American Indian Or Native Alaskan 54 7.88\%
...193 Larceny/Theft Offenses - Theft From Building Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 47 6.86\%
...194 Larceny/Theft Offenses - Theft From Building Anti-Other Race, Ethnicity, Ancestry, Or National Origin 33 4.82\%
...195 Larceny/Theft Offenses - Theft From Building All Other 284 41.49\%
...196 Larceny/Theft Offenses - Theft From Building Total 685 100\%
...197 Larceny/Theft Offenses - Theft From Motor Vehicle Anti-White 313 33.23\%
...198 Larceny/Theft Offenses - Theft From Motor Vehicle Anti-American Indian Or Native Alaskan 102 10.83\%
...199 Larceny/Theft Offenses - Theft From Motor Vehicle Anti-Black 91 9.66\%
...200 Larceny/Theft Offenses - Theft From Motor Vehicle Anti-Sikh 43 4.56\%
...201 Larceny/Theft Offenses - Theft From Motor Vehicle Anti-Hispanic Or Latino 40 4.25\%
...202 Larceny/Theft Offenses - Theft From Motor Vehicle All Other 353 37.46\%
...203 Larceny/Theft Offenses - Theft From Motor Vehicle Total 942 100\%
...204 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Anti-White 91 34.34\%
...205 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Anti-Black 27 10.19\%
...206 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Anti-American Indian Or Native Alaskan 26 9.81\%
...207 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Anti-Sikh 14 5.28\%
...208 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Anti-Other Race, Ethnicity, Ancestry, Or National Origin 10 3.77\%
...209 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories All Other 97 36.59\%
...210 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Total 265 100\%
...211 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device Anti-White 4 25.00\%
...212 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device Anti-American Indian Or Native Alaskan 3 18.75\%
...213 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device Anti-Physical Disability 3 18.75\%
...214 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device Anti-Black 2 12.50\%
...215 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device Anti-Sikh 1 6.25\%
...216 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device All Other 3 18.75\%
...217 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device Total 16 100\%
...218 Motor Vehicle Theft Anti-White 173 28.18\%
...219 Motor Vehicle Theft Anti-Black 87 14.17\%
...220 Motor Vehicle Theft Anti-American Indian Or Native Alaskan 81 13.19\%
...221 Motor Vehicle Theft Anti-Sikh 31 5.05\%
...222 Motor Vehicle Theft Anti-Other Race, Ethnicity, Ancestry, Or National Origin 25 4.07\%
...223 Motor Vehicle Theft All Other 217 35.34\%
...224 Motor Vehicle Theft Total 614 100\%
...225 Murder/Nonnegligent Manslaughter Anti-Black 82 23.56\%
...226 Murder/Nonnegligent Manslaughter Anti-Gay (Male) 65 18.68\%
...227 Murder/Nonnegligent Manslaughter Anti-White 52 14.94\%
...228 Murder/Nonnegligent Manslaughter Anti-Hispanic Or Latino 42 12.07\%
...229 Murder/Nonnegligent Manslaughter Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 16 4.60\%
...230 Murder/Nonnegligent Manslaughter All Other 91 26.14\%
...231 Murder/Nonnegligent Manslaughter Total 348 100\%
...232 Negligent Manslaughter Anti-American Indian Or Native Alaskan 2 25.00\%
...233 Negligent Manslaughter Anti-Physical Disability 2 25.00\%
...234 Negligent Manslaughter Anti-Black 2 25.00\%
...235 Negligent Manslaughter Anti-Hispanic Or Latino 1 12.50\%
...236 Negligent Manslaughter Anti-White 1 12.50\%
...237 Negligent Manslaughter All Other NA NA\%
...238 Negligent Manslaughter Total 8 100\%
...239 Pornography/Obscene Material Anti-Black 15 16.85\%
...240 Pornography/Obscene Material Anti-White 10 11.24\%
...241 Pornography/Obscene Material Anti-Female 7 7.87\%
...242 Pornography/Obscene Material Anti-Gay (Male) 6 6.74\%
...243 Pornography/Obscene Material Anti-American Indian Or Native Alaskan 6 6.74\%
...244 Pornography/Obscene Material All Other 45 50.54\%
...245 Pornography/Obscene Material Total 89 100\%
...246 Prostitution Offenses - Assisting Or Promoting Prostitution Anti-Mental Disability 2 28.57\%
...247 Prostitution Offenses - Assisting Or Promoting Prostitution Anti-White 1 14.29\%
...248 Prostitution Offenses - Assisting Or Promoting Prostitution Anti-Gender Non-Conforming 1 14.29\%
...249 Prostitution Offenses - Assisting Or Promoting Prostitution Anti-Black 1 14.29\%
...250 Prostitution Offenses - Assisting Or Promoting Prostitution Anti-Male 1 14.29\%
...251 Prostitution Offenses - Assisting Or Promoting Prostitution All Other 1 14.29\%
...252 Prostitution Offenses - Assisting Or Promoting Prostitution Total 7 100\%
1...253 Prostitution Offenses - Prostitution Anti-White 10 66.67\%
2...254 Prostitution Offenses - Prostitution Anti-Asian 3 20.00\%
3...255 Prostitution Offenses - Prostitution Anti-Lesbian (Female) 1 6.67\%
4...256 Prostitution Offenses - Prostitution Anti-Other Religion 1 6.67\%
NA...257 NA NA NA NA
...258 Prostitution Offenses - Prostitution All Other NA NA\%
...259 Prostitution Offenses - Prostitution Total 15 100\%
1...260 Prostitution Offenses - Purchasing Prostitution Anti-Asian 1 50.00\%
2...261 Prostitution Offenses - Purchasing Prostitution Anti-Heterosexual 1 50.00\%
NA...262 NA NA NA NA
NA.1...263 NA NA NA NA
NA.2...264 NA NA NA NA
...265 Prostitution Offenses - Purchasing Prostitution All Other NA NA\%
...266 Prostitution Offenses - Purchasing Prostitution Total 2 100\%
...267 Robbery Anti-White 1,153 25.57\%
...268 Robbery Anti-Gay (Male) 1,079 23.93\%
...269 Robbery Anti-Black 673 14.93\%
...270 Robbery Anti-Hispanic Or Latino 544 12.06\%
...271 Robbery Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 215 4.77\%
...272 Robbery All Other 845 18.71\%
...273 Robbery Total 4,509 100\%
...274 Sex Offenses - Fondling - Indecent Liberties/Child Molest Anti-White 62 23.40\%
...275 Sex Offenses - Fondling - Indecent Liberties/Child Molest Anti-Black 33 12.45\%
...276 Sex Offenses - Fondling - Indecent Liberties/Child Molest Anti-Gay (Male) 32 12.08\%
...277 Sex Offenses - Fondling - Indecent Liberties/Child Molest Anti-Mental Disability 18 6.79\%
...278 Sex Offenses - Fondling - Indecent Liberties/Child Molest Anti-American Indian Or Native Alaskan 14 5.28\%
...279 Sex Offenses - Fondling - Indecent Liberties/Child Molest All Other 106 39.98\%
...280 Sex Offenses - Fondling - Indecent Liberties/Child Molest Total 265 100\%
...281 Sex Offenses - Incest Anti-White 2 28.57\%
...282 Sex Offenses - Incest Anti-American Indian Or Native Alaskan 1 14.29\%
...283 Sex Offenses - Incest Anti-Heterosexual 1 14.29\%
...284 Sex Offenses - Incest Anti-Lesbian (Female) 1 14.29\%
...285 Sex Offenses - Incest Anti-Bisexual 1 14.29\%
...286 Sex Offenses - Incest All Other 1 14.29\%
...287 Sex Offenses - Incest Total 7 100\%
...288 Sex Offenses - Rape Anti-White 83 25.23\%
...289 Sex Offenses - Rape Anti-Lesbian (Female) 50 15.20\%
...290 Sex Offenses - Rape Anti-Black 46 13.98\%
...291 Sex Offenses - Rape Anti-Mental Disability 20 6.08\%
...292 Sex Offenses - Rape Anti-Female 16 4.86\%
...293 Sex Offenses - Rape All Other 114 34.63\%
...294 Sex Offenses - Rape Total 329 100\%
...295 Sex Offenses - Sexual Assault With An Object Anti-Gay (Male) 12 24.00\%
...296 Sex Offenses - Sexual Assault With An Object Anti-Black 7 14.00\%
...297 Sex Offenses - Sexual Assault With An Object Anti-White 7 14.00\%
...298 Sex Offenses - Sexual Assault With An Object Anti-Lesbian (Female) 5 10.00\%
...299 Sex Offenses - Sexual Assault With An Object Anti-Transgender 4 8.00\%
...300 Sex Offenses - Sexual Assault With An Object All Other 15 30\%
...301 Sex Offenses - Sexual Assault With An Object Total 50 100\%
...302 Sex Offenses - Sodomy Anti-Gay (Male) 27 31.40\%
...303 Sex Offenses - Sodomy Anti-White 11 12.79\%
...304 Sex Offenses - Sodomy Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 10 11.63\%
...305 Sex Offenses - Sodomy Anti-Heterosexual 8 9.30\%
...306 Sex Offenses - Sodomy Anti-Transgender 7 8.14\%
...307 Sex Offenses - Sodomy All Other 23 26.75\%
...308 Sex Offenses - Sodomy Total 86 100\%
...309 Sex Offenses - Statutory Rape Anti-White 7 31.82\%
...310 Sex Offenses - Statutory Rape Anti-Gay (Male) 2 9.09\%
...311 Sex Offenses - Statutory Rape Anti-Black 2 9.09\%
...312 Sex Offenses - Statutory Rape Anti-Heterosexual 2 9.09\%
...313 Sex Offenses - Statutory Rape Anti-American Indian Or Native Alaskan 2 9.09\%
...314 Sex Offenses - Statutory Rape All Other 7 31.85\%
...315 Sex Offenses - Statutory Rape Total 22 100\%
...316 Stolen Property Offenses (Receiving, Selling, Etc.) Anti-White 47 31.76\%
...317 Stolen Property Offenses (Receiving, Selling, Etc.) Anti-American Indian Or Native Alaskan 20 13.51\%
...318 Stolen Property Offenses (Receiving, Selling, Etc.) Anti-Black 17 11.49\%
...319 Stolen Property Offenses (Receiving, Selling, Etc.) Anti-Sikh 8 5.41\%
...320 Stolen Property Offenses (Receiving, Selling, Etc.) Anti-Mental Disability 6 4.05\%
...321 Stolen Property Offenses (Receiving, Selling, Etc.) All Other 50 33.79\%
...322 Stolen Property Offenses (Receiving, Selling, Etc.) Total 148 100\%
...323 Undocumented Code Anti-White 5 29.41\%
...324 Undocumented Code Anti-Black 4 23.53\%
...325 Undocumented Code Anti-American Indian Or Native Alaskan 3 17.65\%
...326 Undocumented Code Anti-Catholic 1 5.88\%
...327 Undocumented Code Anti-Male 1 5.88\%
...328 Undocumented Code All Other 3 17.64\%
...329 Undocumented Code Total 17 100\%
...330 Weapon Law Violations Anti-Black 179 35.73\%
...331 Weapon Law Violations Anti-White 98 19.56\%
...332 Weapon Law Violations Anti-American Indian Or Native Alaskan 26 5.19\%
...333 Weapon Law Violations Anti-Hispanic Or Latino 26 5.19\%
...334 Weapon Law Violations Anti-Other Race, Ethnicity, Ancestry, Or National Origin 20 3.99\%
...335 Weapon Law Violations All Other 152 30.38\%
...336 Weapon Law Violations Total 501 100\%
+ +\begin{longtable}[t]{l|l|l|r|r} +\caption{(\#tab:hateBiasOffense)The number and percent of offenses by bias motivation, 2023.}\\ +\hline + & Bias Motivation & Offense & \textbackslash{}\# of Incidents & \textbackslash{}\% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:hateBiasOffense)The number and percent of offenses by bias motivation, 2023. \textit{(continued)}}\\ +\hline + & Bias Motivation & Offense & \textbackslash{}\# of Incidents & \textbackslash{}\% of Incidents\\ +\hline +\endhead +...1 & Anti-American Indian Or Native Alaskan & Assault Offenses - Simple Assault & 561 & 19.49\textbackslash{}\%\\ +\hline +...2 & Anti-American Indian Or Native Alaskan & Assault Offenses - Intimidation & 432 & 15.01\textbackslash{}\%\\ +\hline +...3 & Anti-American Indian Or Native Alaskan & Destruction/Damage/Vandalism of Property & 415 & 14.42\textbackslash{}\%\\ +\hline +...4 & Anti-American Indian Or Native Alaskan & Assault Offenses - Aggravated Assault & 284 & 9.87\textbackslash{}\%\\ +\hline +...5 & Anti-American Indian Or Native Alaskan & Larceny/Theft Offenses - All Other Larceny & 202 & 7.02\textbackslash{}\%\\ +\hline +...6 & Anti-American Indian Or Native Alaskan & All Other & 984 & 34.16\textbackslash{}\%\\ +\hline +...7 & Anti-American Indian Or Native Alaskan & Total & 2,878 & 100\textbackslash{}\%\\ +\hline +...8 & Anti-Arab & Assault Offenses - Intimidation & 634 & 38.82\textbackslash{}\%\\ +\hline +...9 & Anti-Arab & Assault Offenses - Simple Assault & 385 & 23.58\textbackslash{}\%\\ +\hline +...10 & Anti-Arab & Destruction/Damage/Vandalism of Property & 308 & 18.86\textbackslash{}\%\\ +\hline +...11 & Anti-Arab & Assault Offenses - Aggravated Assault & 182 & 11.15\textbackslash{}\%\\ +\hline +...12 & Anti-Arab & Burglary/Breaking And Entering & 21 & 1.29\textbackslash{}\%\\ +\hline +...13 & Anti-Arab & All Other & 103 & 6.27\textbackslash{}\%\\ +\hline +...14 & Anti-Arab & Total & 1,633 & 100\textbackslash{}\%\\ +\hline +...15 & Anti-Asian & Assault Offenses - Intimidation & 2,683 & 33.17\textbackslash{}\%\\ +\hline +...16 & Anti-Asian & Destruction/Damage/Vandalism of Property & 2,067 & 25.56\textbackslash{}\%\\ +\hline +...17 & Anti-Asian & Assault Offenses - Simple Assault & 1,920 & 23.74\textbackslash{}\%\\ +\hline +...18 & Anti-Asian & Assault Offenses - Aggravated Assault & 803 & 9.93\textbackslash{}\%\\ +\hline +...19 & Anti-Asian & Burglary/Breaking And Entering & 157 & 1.94\textbackslash{}\%\\ +\hline +...20 & Anti-Asian & All Other & 458 & 5.63\textbackslash{}\%\\ +\hline +...21 & Anti-Asian & Total & 8,088 & 100\textbackslash{}\%\\ +\hline +...22 & Anti-Atheism/Agnosticism & Destruction/Damage/Vandalism of Property & 75 & 34.40\textbackslash{}\%\\ +\hline +...23 & Anti-Atheism/Agnosticism & Assault Offenses - Simple Assault & 25 & 11.47\textbackslash{}\%\\ +\hline +...24 & Anti-Atheism/Agnosticism & Larceny/Theft Offenses - All Other Larceny & 24 & 11.01\textbackslash{}\%\\ +\hline +...25 & Anti-Atheism/Agnosticism & Assault Offenses - Intimidation & 21 & 9.63\textbackslash{}\%\\ +\hline +...26 & Anti-Atheism/Agnosticism & Burglary/Breaking And Entering & 14 & 6.42\textbackslash{}\%\\ +\hline +...27 & Anti-Atheism/Agnosticism & All Other & 59 & 27.09\textbackslash{}\%\\ +\hline +...28 & Anti-Atheism/Agnosticism & Total & 218 & 100\textbackslash{}\%\\ +\hline +...29 & Anti-Bisexual & Assault Offenses - Simple Assault & 196 & 28.65\textbackslash{}\%\\ +\hline +...30 & Anti-Bisexual & Assault Offenses - Intimidation & 134 & 19.59\textbackslash{}\%\\ +\hline +...31 & Anti-Bisexual & Destruction/Damage/Vandalism of Property & 93 & 13.60\textbackslash{}\%\\ +\hline +...32 & Anti-Bisexual & Assault Offenses - Aggravated Assault & 67 & 9.80\textbackslash{}\%\\ +\hline +...33 & Anti-Bisexual & Larceny/Theft Offenses - All Other Larceny & 47 & 6.87\textbackslash{}\%\\ +\hline +...34 & Anti-Bisexual & All Other & 147 & 21.49\textbackslash{}\%\\ +\hline +...35 & Anti-Bisexual & Total & 684 & 100\textbackslash{}\%\\ +\hline +...36 & Anti-Black & Assault Offenses - Intimidation & 30,996 & 36.68\textbackslash{}\%\\ +\hline +...37 & Anti-Black & Destruction/Damage/Vandalism of Property & 24,150 & 28.58\textbackslash{}\%\\ +\hline +...38 & Anti-Black & Assault Offenses - Simple Assault & 15,481 & 18.32\textbackslash{}\%\\ +\hline +...39 & Anti-Black & Assault Offenses - Aggravated Assault & 10,128 & 11.98\textbackslash{}\%\\ +\hline +...40 & Anti-Black & Burglary/Breaking And Entering & 1,003 & 1.19\textbackslash{}\%\\ +\hline +...41 & Anti-Black & All Other & 2,750 & 3.23\textbackslash{}\%\\ +\hline +...42 & Anti-Black & Total & 84,508 & 100\textbackslash{}\%\\ +\hline +...43 & Anti-Buddhist & Destruction/Damage/Vandalism of Property & 41 & 31.54\textbackslash{}\%\\ +\hline +...44 & Anti-Buddhist & Assault Offenses - Simple Assault & 17 & 13.08\textbackslash{}\%\\ +\hline +...45 & Anti-Buddhist & Larceny/Theft Offenses - All Other Larceny & 13 & 10.00\textbackslash{}\%\\ +\hline +...46 & Anti-Buddhist & Assault Offenses - Aggravated Assault & 8 & 6.15\textbackslash{}\%\\ +\hline +...47 & Anti-Buddhist & Burglary/Breaking And Entering & 6 & 4.62\textbackslash{}\%\\ +\hline +...48 & Anti-Buddhist & All Other & 45 & 34.65\textbackslash{}\%\\ +\hline +...49 & Anti-Buddhist & Total & 130 & 100\textbackslash{}\%\\ +\hline +...50 & Anti-Catholic & Destruction/Damage/Vandalism of Property & 1,115 & 58.87\textbackslash{}\%\\ +\hline +...51 & Anti-Catholic & Assault Offenses - Intimidation & 213 & 11.25\textbackslash{}\%\\ +\hline +...52 & Anti-Catholic & Assault Offenses - Simple Assault & 97 & 5.12\textbackslash{}\%\\ +\hline +...53 & Anti-Catholic & Burglary/Breaking And Entering & 86 & 4.54\textbackslash{}\%\\ +\hline +...54 & Anti-Catholic & Larceny/Theft Offenses - All Other Larceny & 63 & 3.33\textbackslash{}\%\\ +\hline +...55 & Anti-Catholic & All Other & 320 & 16.89\textbackslash{}\%\\ +\hline +...56 & Anti-Catholic & Total & 1,894 & 100\textbackslash{}\%\\ +\hline +...57 & Anti-Church of Jesus Christ (Mormon) & Destruction/Damage/Vandalism of Property & 51 & 43.22\textbackslash{}\%\\ +\hline +...58 & Anti-Church of Jesus Christ (Mormon) & Assault Offenses - Intimidation & 14 & 11.86\textbackslash{}\%\\ +\hline +...59 & Anti-Church of Jesus Christ (Mormon) & Burglary/Breaking And Entering & 13 & 11.02\textbackslash{}\%\\ +\hline +...60 & Anti-Church of Jesus Christ (Mormon) & Assault Offenses - Simple Assault & 12 & 10.17\textbackslash{}\%\\ +\hline +...61 & Anti-Church of Jesus Christ (Mormon) & Arson & 7 & 5.93\textbackslash{}\%\\ +\hline +...62 & Anti-Church of Jesus Christ (Mormon) & All Other & 21 & 17.78\textbackslash{}\%\\ +\hline +...63 & Anti-Church of Jesus Christ (Mormon) & Total & 118 & 100\textbackslash{}\%\\ +\hline +...64 & Anti-Eastern Orthodox (Greek, Russian, Other) & Destruction/Damage/Vandalism of Property & 74 & 16.78\textbackslash{}\%\\ +\hline +...65 & Anti-Eastern Orthodox (Greek, Russian, Other) & Assault Offenses - Simple Assault & 49 & 11.11\textbackslash{}\%\\ +\hline +...66 & Anti-Eastern Orthodox (Greek, Russian, Other) & Larceny/Theft Offenses - All Other Larceny & 49 & 11.11\textbackslash{}\%\\ +\hline +...67 & Anti-Eastern Orthodox (Greek, Russian, Other) & Drug/Narcotic Offenses - Drug/Narcotic Violations & 41 & 9.30\textbackslash{}\%\\ +\hline +...68 & Anti-Eastern Orthodox (Greek, Russian, Other) & Burglary/Breaking And Entering & 34 & 7.71\textbackslash{}\%\\ +\hline +...69 & Anti-Eastern Orthodox (Greek, Russian, Other) & All Other & 194 & 44.02\textbackslash{}\%\\ +\hline +...70 & Anti-Eastern Orthodox (Greek, Russian, Other) & Total & 441 & 100\textbackslash{}\%\\ +\hline +...71 & Anti-Female & Assault Offenses - Intimidation & 149 & 27.64\textbackslash{}\%\\ +\hline +...72 & Anti-Female & Assault Offenses - Simple Assault & 137 & 25.42\textbackslash{}\%\\ +\hline +...73 & Anti-Female & Assault Offenses - Aggravated Assault & 69 & 12.80\textbackslash{}\%\\ +\hline +...74 & Anti-Female & Destruction/Damage/Vandalism of Property & 67 & 12.43\textbackslash{}\%\\ +\hline +...75 & Anti-Female & Sex Offenses - Rape & 16 & 2.97\textbackslash{}\%\\ +\hline +...76 & Anti-Female & All Other & 101 & 18.76\textbackslash{}\%\\ +\hline +...77 & Anti-Female & Total & 539 & 100\textbackslash{}\%\\ +\hline +...78 & Anti-Gay (Male) & Assault Offenses - Simple Assault & 7,944 & 31.87\textbackslash{}\%\\ +\hline +...79 & Anti-Gay (Male) & Assault Offenses - Intimidation & 6,771 & 27.16\textbackslash{}\%\\ +\hline +...80 & Anti-Gay (Male) & Destruction/Damage/Vandalism of Property & 4,271 & 17.13\textbackslash{}\%\\ +\hline +...81 & Anti-Gay (Male) & Assault Offenses - Aggravated Assault & 3,999 & 16.04\textbackslash{}\%\\ +\hline +...82 & Anti-Gay (Male) & Robbery & 1,079 & 4.33\textbackslash{}\%\\ +\hline +...83 & Anti-Gay (Male) & All Other & 863 & 3.48\textbackslash{}\%\\ +\hline +...84 & Anti-Gay (Male) & Total & 24,927 & 100\textbackslash{}\%\\ +\hline +...85 & Anti-Gender Non-Conforming & Assault Offenses - Simple Assault & 150 & 22.97\textbackslash{}\%\\ +\hline +...86 & Anti-Gender Non-Conforming & Destruction/Damage/Vandalism of Property & 104 & 15.93\textbackslash{}\%\\ +\hline +...87 & Anti-Gender Non-Conforming & Assault Offenses - Intimidation & 74 & 11.33\textbackslash{}\%\\ +\hline +...88 & Anti-Gender Non-Conforming & Larceny/Theft Offenses - All Other Larceny & 58 & 8.88\textbackslash{}\%\\ +\hline +...89 & Anti-Gender Non-Conforming & Assault Offenses - Aggravated Assault & 57 & 8.73\textbackslash{}\%\\ +\hline +...90 & Anti-Gender Non-Conforming & All Other & 210 & 32.16\textbackslash{}\%\\ +\hline +...91 & Anti-Gender Non-Conforming & Total & 653 & 100\textbackslash{}\%\\ +\hline +...92 & Anti-Heterosexual & Assault Offenses - Intimidation & 156 & 24.88\textbackslash{}\%\\ +\hline +...93 & Anti-Heterosexual & Destruction/Damage/Vandalism of Property & 154 & 24.56\textbackslash{}\%\\ +\hline +...94 & Anti-Heterosexual & Assault Offenses - Simple Assault & 116 & 18.50\textbackslash{}\%\\ +\hline +...95 & Anti-Heterosexual & Assault Offenses - Aggravated Assault & 43 & 6.86\textbackslash{}\%\\ +\hline +...96 & Anti-Heterosexual & Larceny/Theft Offenses - All Other Larceny & 24 & 3.83\textbackslash{}\%\\ +\hline +...97 & Anti-Heterosexual & All Other & 134 & 21.41\textbackslash{}\%\\ +\hline +...98 & Anti-Heterosexual & Total & 627 & 100\textbackslash{}\%\\ +\hline +...99 & Anti-Hindu & Assault Offenses - Intimidation & 39 & 30.47\textbackslash{}\%\\ +\hline +...100 & Anti-Hindu & Destruction/Damage/Vandalism of Property & 33 & 25.78\textbackslash{}\%\\ +\hline +...101 & Anti-Hindu & Assault Offenses - Simple Assault & 25 & 19.53\textbackslash{}\%\\ +\hline +...102 & Anti-Hindu & Assault Offenses - Aggravated Assault & 8 & 6.25\textbackslash{}\%\\ +\hline +...103 & Anti-Hindu & Burglary/Breaking And Entering & 5 & 3.91\textbackslash{}\%\\ +\hline +...104 & Anti-Hindu & All Other & 18 & 14.04\textbackslash{}\%\\ +\hline +...105 & Anti-Hindu & Total & 128 & 100\textbackslash{}\%\\ +\hline +...106 & Anti-Hispanic Or Latino & Assault Offenses - Intimidation & 5,033 & 31.01\textbackslash{}\%\\ +\hline +...107 & Anti-Hispanic Or Latino & Assault Offenses - Simple Assault & 4,278 & 26.36\textbackslash{}\%\\ +\hline +...108 & Anti-Hispanic Or Latino & Assault Offenses - Aggravated Assault & 2,994 & 18.45\textbackslash{}\%\\ +\hline +...109 & Anti-Hispanic Or Latino & Destruction/Damage/Vandalism of Property & 2,694 & 16.60\textbackslash{}\%\\ +\hline +...110 & Anti-Hispanic Or Latino & Robbery & 544 & 3.35\textbackslash{}\%\\ +\hline +...111 & Anti-Hispanic Or Latino & All Other & 688 & 4.24\textbackslash{}\%\\ +\hline +...112 & Anti-Hispanic Or Latino & Total & 16,231 & 100\textbackslash{}\%\\ +\hline +...113 & Anti-Islamic (Muslim) & Assault Offenses - Intimidation & 1,808 & 40.47\textbackslash{}\%\\ +\hline +...114 & Anti-Islamic (Muslim) & Destruction/Damage/Vandalism of Property & 1,174 & 26.28\textbackslash{}\%\\ +\hline +...115 & Anti-Islamic (Muslim) & Assault Offenses - Simple Assault & 856 & 19.16\textbackslash{}\%\\ +\hline +...116 & Anti-Islamic (Muslim) & Assault Offenses - Aggravated Assault & 332 & 7.43\textbackslash{}\%\\ +\hline +...117 & Anti-Islamic (Muslim) & Arson & 61 & 1.37\textbackslash{}\%\\ +\hline +...118 & Anti-Islamic (Muslim) & All Other & 237 & 5.28\textbackslash{}\%\\ +\hline +...119 & Anti-Islamic (Muslim) & Total & 4,468 & 100\textbackslash{}\%\\ +\hline +...120 & Anti-Jehovahs Witness & Destruction/Damage/Vandalism of Property & 22 & 32.84\textbackslash{}\%\\ +\hline +...121 & Anti-Jehovahs Witness & Assault Offenses - Intimidation & 10 & 14.93\textbackslash{}\%\\ +\hline +...122 & Anti-Jehovahs Witness & Assault Offenses - Simple Assault & 9 & 13.43\textbackslash{}\%\\ +\hline +...123 & Anti-Jehovahs Witness & Assault Offenses - Aggravated Assault & 6 & 8.96\textbackslash{}\%\\ +\hline +...124 & Anti-Jehovahs Witness & Larceny/Theft Offenses - All Other Larceny & 4 & 5.97\textbackslash{}\%\\ +\hline +...125 & Anti-Jehovahs Witness & All Other & 16 & 23.89\textbackslash{}\%\\ +\hline +...126 & Anti-Jehovahs Witness & Total & 67 & 100\textbackslash{}\%\\ +\hline +...127 & Anti-Jewish & Destruction/Damage/Vandalism of Property & 20,381 & 64.01\textbackslash{}\%\\ +\hline +...128 & Anti-Jewish & Assault Offenses - Intimidation & 8,246 & 25.90\textbackslash{}\%\\ +\hline +...129 & Anti-Jewish & Assault Offenses - Simple Assault & 1,665 & 5.23\textbackslash{}\%\\ +\hline +...130 & Anti-Jewish & Assault Offenses - Aggravated Assault & 471 & 1.48\textbackslash{}\%\\ +\hline +...131 & Anti-Jewish & Burglary/Breaking And Entering & 341 & 1.07\textbackslash{}\%\\ +\hline +...132 & Anti-Jewish & All Other & 734 & 2.32\textbackslash{}\%\\ +\hline +...133 & Anti-Jewish & Total & 31,838 & 100\textbackslash{}\%\\ +\hline +...134 & Anti-Lesbian (Female) & Assault Offenses - Intimidation & 1,684 & 33.41\textbackslash{}\%\\ +\hline +...135 & Anti-Lesbian (Female) & Assault Offenses - Simple Assault & 1,284 & 25.47\textbackslash{}\%\\ +\hline +...136 & Anti-Lesbian (Female) & Destruction/Damage/Vandalism of Property & 1,100 & 21.82\textbackslash{}\%\\ +\hline +...137 & Anti-Lesbian (Female) & Assault Offenses - Aggravated Assault & 620 & 12.30\textbackslash{}\%\\ +\hline +...138 & Anti-Lesbian (Female) & Burglary/Breaking And Entering & 64 & 1.27\textbackslash{}\%\\ +\hline +...139 & Anti-Lesbian (Female) & All Other & 289 & 5.74\textbackslash{}\%\\ +\hline +...140 & Anti-Lesbian (Female) & Total & 5,041 & 100\textbackslash{}\%\\ +\hline +...141 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Destruction/Damage/Vandalism of Property & 2,488 & 28.65\textbackslash{}\%\\ +\hline +...142 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Assault Offenses - Intimidation & 2,122 & 24.44\textbackslash{}\%\\ +\hline +...143 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Assault Offenses - Simple Assault & 2,104 & 24.23\textbackslash{}\%\\ +\hline +...144 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Assault Offenses - Aggravated Assault & 1,027 & 11.83\textbackslash{}\%\\ +\hline +...145 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Larceny/Theft Offenses - All Other Larceny & 320 & 3.68\textbackslash{}\%\\ +\hline +...146 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & All Other & 623 & 7.16\textbackslash{}\%\\ +\hline +...147 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Total & 8,684 & 100\textbackslash{}\%\\ +\hline +...148 & Anti-Male & Assault Offenses - Simple Assault & 50 & 25.77\textbackslash{}\%\\ +\hline +...149 & Anti-Male & Assault Offenses - Intimidation & 41 & 21.13\textbackslash{}\%\\ +\hline +...150 & Anti-Male & Destruction/Damage/Vandalism of Property & 21 & 10.82\textbackslash{}\%\\ +\hline +...151 & Anti-Male & Assault Offenses - Aggravated Assault & 19 & 9.79\textbackslash{}\%\\ +\hline +...152 & Anti-Male & Burglary/Breaking And Entering & 10 & 5.15\textbackslash{}\%\\ +\hline +...153 & Anti-Male & All Other & 53 & 27.38\textbackslash{}\%\\ +\hline +...154 & Anti-Male & Total & 194 & 100\textbackslash{}\%\\ +\hline +...155 & Anti-Mental Disability & Assault Offenses - Simple Assault & 381 & 26.48\textbackslash{}\%\\ +\hline +...156 & Anti-Mental Disability & Assault Offenses - Intimidation & 223 & 15.50\textbackslash{}\%\\ +\hline +...157 & Anti-Mental Disability & Destruction/Damage/Vandalism of Property & 177 & 12.30\textbackslash{}\%\\ +\hline +...158 & Anti-Mental Disability & Assault Offenses - Aggravated Assault & 147 & 10.22\textbackslash{}\%\\ +\hline +...159 & Anti-Mental Disability & Larceny/Theft Offenses - All Other Larceny & 118 & 8.20\textbackslash{}\%\\ +\hline +...160 & Anti-Mental Disability & All Other & 393 & 27.35\textbackslash{}\%\\ +\hline +...161 & Anti-Mental Disability & Total & 1,439 & 100\textbackslash{}\%\\ +\hline +...162 & Anti-Multiple Races, Group & Destruction/Damage/Vandalism of Property & 2,899 & 49.34\textbackslash{}\%\\ +\hline +...163 & Anti-Multiple Races, Group & Assault Offenses - Intimidation & 1,570 & 26.72\textbackslash{}\%\\ +\hline +...164 & Anti-Multiple Races, Group & Assault Offenses - Simple Assault & 657 & 11.18\textbackslash{}\%\\ +\hline +...165 & Anti-Multiple Races, Group & Assault Offenses - Aggravated Assault & 415 & 7.06\textbackslash{}\%\\ +\hline +...166 & Anti-Multiple Races, Group & Burglary/Breaking And Entering & 105 & 1.79\textbackslash{}\%\\ +\hline +...167 & Anti-Multiple Races, Group & All Other & 230 & 3.93\textbackslash{}\%\\ +\hline +...168 & Anti-Multiple Races, Group & Total & 5,876 & 100\textbackslash{}\%\\ +\hline +...169 & Anti-Multiple Religions, Group & Destruction/Damage/Vandalism of Property & 793 & 58.65\textbackslash{}\%\\ +\hline +...170 & Anti-Multiple Religions, Group & Assault Offenses - Intimidation & 204 & 15.09\textbackslash{}\%\\ +\hline +...171 & Anti-Multiple Religions, Group & Assault Offenses - Simple Assault & 94 & 6.95\textbackslash{}\%\\ +\hline +...172 & Anti-Multiple Religions, Group & Larceny/Theft Offenses - All Other Larceny & 54 & 3.99\textbackslash{}\%\\ +\hline +...173 & Anti-Multiple Religions, Group & Burglary/Breaking And Entering & 49 & 3.62\textbackslash{}\%\\ +\hline +...174 & Anti-Multiple Religions, Group & All Other & 158 & 11.68\textbackslash{}\%\\ +\hline +...175 & Anti-Multiple Religions, Group & Total & 1,352 & 100\textbackslash{}\%\\ +\hline +...176 & Anti-Native Hawaiian Or Other Pacific Islander & Assault Offenses - Simple Assault & 40 & 20.20\textbackslash{}\%\\ +\hline +...177 & Anti-Native Hawaiian Or Other Pacific Islander & Assault Offenses - Intimidation & 27 & 13.64\textbackslash{}\%\\ +\hline +...178 & Anti-Native Hawaiian Or Other Pacific Islander & Destruction/Damage/Vandalism of Property & 21 & 10.61\textbackslash{}\%\\ +\hline +...179 & Anti-Native Hawaiian Or Other Pacific Islander & Assault Offenses - Aggravated Assault & 19 & 9.60\textbackslash{}\%\\ +\hline +...180 & Anti-Native Hawaiian Or Other Pacific Islander & Larceny/Theft Offenses - All Other Larceny & 14 & 7.07\textbackslash{}\%\\ +\hline +...181 & Anti-Native Hawaiian Or Other Pacific Islander & All Other & 77 & 38.94\textbackslash{}\%\\ +\hline +...182 & Anti-Native Hawaiian Or Other Pacific Islander & Total & 198 & 100\textbackslash{}\%\\ +\hline +...183 & Anti-Other Christian & Destruction/Damage/Vandalism of Property & 238 & 50.42\textbackslash{}\%\\ +\hline +...184 & Anti-Other Christian & Assault Offenses - Intimidation & 80 & 16.95\textbackslash{}\%\\ +\hline +...185 & Anti-Other Christian & Assault Offenses - Simple Assault & 33 & 6.99\textbackslash{}\%\\ +\hline +...186 & Anti-Other Christian & Arson & 28 & 5.93\textbackslash{}\%\\ +\hline +...187 & Anti-Other Christian & Burglary/Breaking And Entering & 25 & 5.30\textbackslash{}\%\\ +\hline +...188 & Anti-Other Christian & All Other & 68 & 14.4\textbackslash{}\%\\ +\hline +...189 & Anti-Other Christian & Total & 472 & 100\textbackslash{}\%\\ +\hline +...190 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Assault Offenses - Intimidation & 4,131 & 34.72\textbackslash{}\%\\ +\hline +...191 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Destruction/Damage/Vandalism of Property & 3,378 & 28.39\textbackslash{}\%\\ +\hline +...192 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Assault Offenses - Simple Assault & 2,343 & 19.69\textbackslash{}\%\\ +\hline +...193 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Assault Offenses - Aggravated Assault & 1,164 & 9.78\textbackslash{}\%\\ +\hline +...194 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Burglary/Breaking And Entering & 190 & 1.60\textbackslash{}\%\\ +\hline +...195 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & All Other & 693 & 5.84\textbackslash{}\%\\ +\hline +...196 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Total & 11,899 & 100\textbackslash{}\%\\ +\hline +...197 & Anti-Other Religion & Destruction/Damage/Vandalism of Property & 2,111 & 56.43\textbackslash{}\%\\ +\hline +...198 & Anti-Other Religion & Assault Offenses - Intimidation & 746 & 19.94\textbackslash{}\%\\ +\hline +...199 & Anti-Other Religion & Assault Offenses - Simple Assault & 238 & 6.36\textbackslash{}\%\\ +\hline +...200 & Anti-Other Religion & Burglary/Breaking And Entering & 161 & 4.30\textbackslash{}\%\\ +\hline +...201 & Anti-Other Religion & Assault Offenses - Aggravated Assault & 119 & 3.18\textbackslash{}\%\\ +\hline +...202 & Anti-Other Religion & All Other & 366 & 9.8\textbackslash{}\%\\ +\hline +...203 & Anti-Other Religion & Total & 3,741 & 100\textbackslash{}\%\\ +\hline +...204 & Anti-Physical Disability & Assault Offenses - Simple Assault & 248 & 28.51\textbackslash{}\%\\ +\hline +...205 & Anti-Physical Disability & Assault Offenses - Intimidation & 182 & 20.92\textbackslash{}\%\\ +\hline +...206 & Anti-Physical Disability & Destruction/Damage/Vandalism of Property & 91 & 10.46\textbackslash{}\%\\ +\hline +...207 & Anti-Physical Disability & Assault Offenses - Aggravated Assault & 78 & 8.97\textbackslash{}\%\\ +\hline +...208 & Anti-Physical Disability & Larceny/Theft Offenses - All Other Larceny & 69 & 7.93\textbackslash{}\%\\ +\hline +...209 & Anti-Physical Disability & All Other & 202 & 23.13\textbackslash{}\%\\ +\hline +...210 & Anti-Physical Disability & Total & 870 & 100\textbackslash{}\%\\ +\hline +...211 & Anti-Protestant & Destruction/Damage/Vandalism of Property & 818 & 58.89\textbackslash{}\%\\ +\hline +...212 & Anti-Protestant & Assault Offenses - Intimidation & 134 & 9.65\textbackslash{}\%\\ +\hline +...213 & Anti-Protestant & Burglary/Breaking And Entering & 93 & 6.70\textbackslash{}\%\\ +\hline +...214 & Anti-Protestant & Assault Offenses - Simple Assault & 72 & 5.18\textbackslash{}\%\\ +\hline +...215 & Anti-Protestant & Larceny/Theft Offenses - All Other Larceny & 64 & 4.61\textbackslash{}\%\\ +\hline +...216 & Anti-Protestant & All Other & 208 & 14.97\textbackslash{}\%\\ +\hline +...217 & Anti-Protestant & Total & 1,389 & 100\textbackslash{}\%\\ +\hline +...218 & Anti-Sikh & Destruction/Damage/Vandalism of Property & 124 & 15.10\textbackslash{}\%\\ +\hline +...219 & Anti-Sikh & Larceny/Theft Offenses - All Other Larceny & 116 & 14.13\textbackslash{}\%\\ +\hline +...220 & Anti-Sikh & Assault Offenses - Simple Assault & 100 & 12.18\textbackslash{}\%\\ +\hline +...221 & Anti-Sikh & Drug/Narcotic Offenses - Drug/Narcotic Violations & 62 & 7.55\textbackslash{}\%\\ +\hline +...222 & Anti-Sikh & Burglary/Breaking And Entering & 53 & 6.46\textbackslash{}\%\\ +\hline +...223 & Anti-Sikh & All Other & 366 & 44.56\textbackslash{}\%\\ +\hline +...224 & Anti-Sikh & Total & 821 & 100\textbackslash{}\%\\ +\hline +...225 & Anti-Transgender & Assault Offenses - Simple Assault & 610 & 32.88\textbackslash{}\%\\ +\hline +...226 & Anti-Transgender & Assault Offenses - Intimidation & 467 & 25.18\textbackslash{}\%\\ +\hline +...227 & Anti-Transgender & Assault Offenses - Aggravated Assault & 345 & 18.60\textbackslash{}\%\\ +\hline +...228 & Anti-Transgender & Destruction/Damage/Vandalism of Property & 164 & 8.84\textbackslash{}\%\\ +\hline +...229 & Anti-Transgender & Robbery & 71 & 3.83\textbackslash{}\%\\ +\hline +...230 & Anti-Transgender & All Other & 198 & 10.65\textbackslash{}\%\\ +\hline +...231 & Anti-Transgender & Total & 1,855 & 100\textbackslash{}\%\\ +\hline +...232 & Anti-White & Assault Offenses - Simple Assault & 8,233 & 29.20\textbackslash{}\%\\ +\hline +...233 & Anti-White & Assault Offenses - Intimidation & 6,280 & 22.28\textbackslash{}\%\\ +\hline +...234 & Anti-White & Assault Offenses - Aggravated Assault & 4,528 & 16.06\textbackslash{}\%\\ +\hline +...235 & Anti-White & Destruction/Damage/Vandalism of Property & 3,811 & 13.52\textbackslash{}\%\\ +\hline +...236 & Anti-White & Robbery & 1,153 & 4.09\textbackslash{}\%\\ +\hline +...237 & Anti-White & All Other & 4,187 & 14.83\textbackslash{}\%\\ +\hline +...238 & Anti-White & Total & 28,192 & 100\textbackslash{}\%\\ +\hline +1 & Undocumented Code & Destruction/Damage/Vandalism of Property & 1 & 100.00\textbackslash{}\%\\ +\hline +NA & NA & NA & NA & NA\\ +\hline +NA.1 & NA & NA & NA & NA\\ +\hline +NA.2 & NA & NA & NA & NA\\ +\hline +NA.3 & NA & NA & NA & NA\\ +\hline +...244 & Undocumented Code & All Other & NA & NA\textbackslash{}\%\\ +\hline +...245 & Undocumented Code & Total & 1 & 100\textbackslash{}\%\\ +\hline +\end{longtable} + + + + + +\begin{longtable}[t]{l|l|l|r|r} +\caption{(\#tab:hateOffenseBias)The number and percent of biases by offense, 2023.}\\ +\hline + & Offense & Bias Motivation & \textbackslash{}\# of Incidents & \textbackslash{}\% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:hateOffenseBias)The number and percent of biases by offense, 2023. \textit{(continued)}}\\ +\hline + & Offense & Bias Motivation & \textbackslash{}\# of Incidents & \textbackslash{}\% of Incidents\\ +\hline +\endhead +...1 & Arson & Anti-Black & 449 & 29.58\textbackslash{}\%\\ +\hline +...2 & Arson & Anti-Jewish & 178 & 11.73\textbackslash{}\%\\ +\hline +...3 & Arson & Anti-Other Religion & 110 & 7.25\textbackslash{}\%\\ +\hline +...4 & Arson & Anti-Gay (Male) & 97 & 6.39\textbackslash{}\%\\ +\hline +...5 & Arson & Anti-White & 96 & 6.32\textbackslash{}\%\\ +\hline +...6 & Arson & All Other & 588 & 38.75\textbackslash{}\%\\ +\hline +...7 & Arson & Total & 1,518 & 100\textbackslash{}\%\\ +\hline +...8 & Assault Offenses - Aggravated Assault & Anti-Black & 10,128 & 36.01\textbackslash{}\%\\ +\hline +...9 & Assault Offenses - Aggravated Assault & Anti-White & 4,528 & 16.10\textbackslash{}\%\\ +\hline +...10 & Assault Offenses - Aggravated Assault & Anti-Gay (Male) & 3,999 & 14.22\textbackslash{}\%\\ +\hline +...11 & Assault Offenses - Aggravated Assault & Anti-Hispanic Or Latino & 2,994 & 10.64\textbackslash{}\%\\ +\hline +...12 & Assault Offenses - Aggravated Assault & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 1,164 & 4.14\textbackslash{}\%\\ +\hline +...13 & Assault Offenses - Aggravated Assault & All Other & 5,314 & 18.89\textbackslash{}\%\\ +\hline +...14 & Assault Offenses - Aggravated Assault & Total & 28,127 & 100\textbackslash{}\%\\ +\hline +...15 & Assault Offenses - Intimidation & Anti-Black & 30,996 & 41.12\textbackslash{}\%\\ +\hline +...16 & Assault Offenses - Intimidation & Anti-Jewish & 8,246 & 10.94\textbackslash{}\%\\ +\hline +...17 & Assault Offenses - Intimidation & Anti-Gay (Male) & 6,771 & 8.98\textbackslash{}\%\\ +\hline +...18 & Assault Offenses - Intimidation & Anti-White & 6,280 & 8.33\textbackslash{}\%\\ +\hline +...19 & Assault Offenses - Intimidation & Anti-Hispanic Or Latino & 5,033 & 6.68\textbackslash{}\%\\ +\hline +...20 & Assault Offenses - Intimidation & All Other & 18,055 & 23.96\textbackslash{}\%\\ +\hline +...21 & Assault Offenses - Intimidation & Total & 75,381 & 100\textbackslash{}\%\\ +\hline +...22 & Assault Offenses - Simple Assault & Anti-Black & 15,481 & 30.71\textbackslash{}\%\\ +\hline +...23 & Assault Offenses - Simple Assault & Anti-White & 8,233 & 16.33\textbackslash{}\%\\ +\hline +...24 & Assault Offenses - Simple Assault & Anti-Gay (Male) & 7,944 & 15.76\textbackslash{}\%\\ +\hline +...25 & Assault Offenses - Simple Assault & Anti-Hispanic Or Latino & 4,278 & 8.49\textbackslash{}\%\\ +\hline +...26 & Assault Offenses - Simple Assault & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 2,343 & 4.65\textbackslash{}\%\\ +\hline +...27 & Assault Offenses - Simple Assault & All Other & 12,131 & 24.06\textbackslash{}\%\\ +\hline +...28 & Assault Offenses - Simple Assault & Total & 50,410 & 100\textbackslash{}\%\\ +\hline +...29 & Bribery & Anti-Black & 2 & 33.33\textbackslash{}\%\\ +\hline +...30 & Bribery & Anti-White & 1 & 16.67\textbackslash{}\%\\ +\hline +...31 & Bribery & Anti-Heterosexual & 1 & 16.67\textbackslash{}\%\\ +\hline +...32 & Bribery & Anti-Arab & 1 & 16.67\textbackslash{}\%\\ +\hline +...33 & Bribery & Anti-Gay (Male) & 1 & 16.67\textbackslash{}\%\\ +\hline +...34 & Bribery & All Other & NA & NA\textbackslash{}\%\\ +\hline +...35 & Bribery & Total & 6 & 100\textbackslash{}\%\\ +\hline +...36 & Burglary/Breaking And Entering & Anti-Black & 1,003 & 24.93\textbackslash{}\%\\ +\hline +...37 & Burglary/Breaking And Entering & Anti-White & 641 & 15.93\textbackslash{}\%\\ +\hline +...38 & Burglary/Breaking And Entering & Anti-Jewish & 341 & 8.48\textbackslash{}\%\\ +\hline +...39 & Burglary/Breaking And Entering & Anti-Gay (Male) & 241 & 5.99\textbackslash{}\%\\ +\hline +...40 & Burglary/Breaking And Entering & Anti-Hispanic Or Latino & 212 & 5.27\textbackslash{}\%\\ +\hline +...41 & Burglary/Breaking And Entering & All Other & 1,585 & 39.4\textbackslash{}\%\\ +\hline +...42 & Burglary/Breaking And Entering & Total & 4,023 & 100\textbackslash{}\%\\ +\hline +...43 & Counterfeiting/Forgery & Anti-White & 103 & 40.23\textbackslash{}\%\\ +\hline +...44 & Counterfeiting/Forgery & Anti-Black & 25 & 9.77\textbackslash{}\%\\ +\hline +...45 & Counterfeiting/Forgery & Anti-American Indian Or Native Alaskan & 21 & 8.20\textbackslash{}\%\\ +\hline +...46 & Counterfeiting/Forgery & Anti-Catholic & 11 & 4.30\textbackslash{}\%\\ +\hline +...47 & Counterfeiting/Forgery & Anti-Sikh & 10 & 3.91\textbackslash{}\%\\ +\hline +...48 & Counterfeiting/Forgery & All Other & 86 & 33.54\textbackslash{}\%\\ +\hline +...49 & Counterfeiting/Forgery & Total & 256 & 100\textbackslash{}\%\\ +\hline +...50 & Destruction/Damage/Vandalism of Property & Anti-Black & 24,150 & 31.98\textbackslash{}\%\\ +\hline +...51 & Destruction/Damage/Vandalism of Property & Anti-Jewish & 20,381 & 26.99\textbackslash{}\%\\ +\hline +...52 & Destruction/Damage/Vandalism of Property & Anti-Gay (Male) & 4,271 & 5.66\textbackslash{}\%\\ +\hline +...53 & Destruction/Damage/Vandalism of Property & Anti-White & 3,811 & 5.05\textbackslash{}\%\\ +\hline +...54 & Destruction/Damage/Vandalism of Property & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 3,378 & 4.47\textbackslash{}\%\\ +\hline +...55 & Destruction/Damage/Vandalism of Property & All Other & 19,533 & 25.87\textbackslash{}\%\\ +\hline +...56 & Destruction/Damage/Vandalism of Property & Total & 75,524 & 100\textbackslash{}\%\\ +\hline +...57 & Drug/Narcotic Offenses - Drug Equipment Violations & Anti-White & 131 & 32.51\textbackslash{}\%\\ +\hline +...58 & Drug/Narcotic Offenses - Drug Equipment Violations & Anti-American Indian Or Native Alaskan & 58 & 14.39\textbackslash{}\%\\ +\hline +...59 & Drug/Narcotic Offenses - Drug Equipment Violations & Anti-Eastern Orthodox (Greek, Russian, Other) & 26 & 6.45\textbackslash{}\%\\ +\hline +...60 & Drug/Narcotic Offenses - Drug Equipment Violations & Anti-Sikh & 24 & 5.96\textbackslash{}\%\\ +\hline +...61 & Drug/Narcotic Offenses - Drug Equipment Violations & Anti-Black & 19 & 4.71\textbackslash{}\%\\ +\hline +...62 & Drug/Narcotic Offenses - Drug Equipment Violations & All Other & 145 & 35.96\textbackslash{}\%\\ +\hline +...63 & Drug/Narcotic Offenses - Drug Equipment Violations & Total & 403 & 100\textbackslash{}\%\\ +\hline +...64 & Drug/Narcotic Offenses - Drug/Narcotic Violations & Anti-White & 495 & 33.86\textbackslash{}\%\\ +\hline +...65 & Drug/Narcotic Offenses - Drug/Narcotic Violations & Anti-Black & 248 & 16.96\textbackslash{}\%\\ +\hline +...66 & Drug/Narcotic Offenses - Drug/Narcotic Violations & Anti-American Indian Or Native Alaskan & 156 & 10.67\textbackslash{}\%\\ +\hline +...67 & Drug/Narcotic Offenses - Drug/Narcotic Violations & Anti-Sikh & 62 & 4.24\textbackslash{}\%\\ +\hline +...68 & Drug/Narcotic Offenses - Drug/Narcotic Violations & Anti-Hispanic Or Latino & 46 & 3.15\textbackslash{}\%\\ +\hline +...69 & Drug/Narcotic Offenses - Drug/Narcotic Violations & All Other & 455 & 31.15\textbackslash{}\%\\ +\hline +...70 & Drug/Narcotic Offenses - Drug/Narcotic Violations & Total & 1,462 & 100\textbackslash{}\%\\ +\hline +...71 & Embezzlement & Anti-White & 24 & 33.80\textbackslash{}\%\\ +\hline +...72 & Embezzlement & Anti-American Indian Or Native Alaskan & 9 & 12.68\textbackslash{}\%\\ +\hline +...73 & Embezzlement & Anti-Mental Disability & 6 & 8.45\textbackslash{}\%\\ +\hline +...74 & Embezzlement & Anti-Black & 5 & 7.04\textbackslash{}\%\\ +\hline +...75 & Embezzlement & Anti-Physical Disability & 5 & 7.04\textbackslash{}\%\\ +\hline +...76 & Embezzlement & All Other & 22 & 31.02\textbackslash{}\%\\ +\hline +...77 & Embezzlement & Total & 71 & 100\textbackslash{}\%\\ +\hline +...78 & Extortion/Blackmail & Anti-Gay (Male) & 17 & 22.08\textbackslash{}\%\\ +\hline +...79 & Extortion/Blackmail & Anti-White & 9 & 11.69\textbackslash{}\%\\ +\hline +...80 & Extortion/Blackmail & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 7 & 9.09\textbackslash{}\%\\ +\hline +...81 & Extortion/Blackmail & Anti-Black & 7 & 9.09\textbackslash{}\%\\ +\hline +...82 & Extortion/Blackmail & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 7 & 9.09\textbackslash{}\%\\ +\hline +...83 & Extortion/Blackmail & All Other & 30 & 38.97\textbackslash{}\%\\ +\hline +...84 & Extortion/Blackmail & Total & 77 & 100\textbackslash{}\%\\ +\hline +...85 & Fraud Offenses - Credit Card/Atm Fraud & Anti-White & 57 & 30.16\textbackslash{}\%\\ +\hline +...86 & Fraud Offenses - Credit Card/Atm Fraud & Anti-American Indian Or Native Alaskan & 18 & 9.52\textbackslash{}\%\\ +\hline +...87 & Fraud Offenses - Credit Card/Atm Fraud & Anti-Sikh & 14 & 7.41\textbackslash{}\%\\ +\hline +...88 & Fraud Offenses - Credit Card/Atm Fraud & Anti-Mental Disability & 14 & 7.41\textbackslash{}\%\\ +\hline +...89 & Fraud Offenses - Credit Card/Atm Fraud & Anti-Black & 10 & 5.29\textbackslash{}\%\\ +\hline +...90 & Fraud Offenses - Credit Card/Atm Fraud & All Other & 76 & 40.23\textbackslash{}\%\\ +\hline +...91 & Fraud Offenses - Credit Card/Atm Fraud & Total & 189 & 100\textbackslash{}\%\\ +\hline +...92 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & Anti-White & 123 & 32.54\textbackslash{}\%\\ +\hline +...93 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & Anti-Black & 34 & 8.99\textbackslash{}\%\\ +\hline +...94 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & Anti-Mental Disability & 29 & 7.67\textbackslash{}\%\\ +\hline +...95 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & Anti-Sikh & 28 & 7.41\textbackslash{}\%\\ +\hline +...96 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & Anti-American Indian Or Native Alaskan & 18 & 4.76\textbackslash{}\%\\ +\hline +...97 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & All Other & 146 & 38.62\textbackslash{}\%\\ +\hline +...98 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & Total & 378 & 100\textbackslash{}\%\\ +\hline +...99 & Fraud Offenses - Impersonation & Anti-White & 43 & 27.74\textbackslash{}\%\\ +\hline +...100 & Fraud Offenses - Impersonation & Anti-Black & 23 & 14.84\textbackslash{}\%\\ +\hline +...101 & Fraud Offenses - Impersonation & Anti-American Indian Or Native Alaskan & 23 & 14.84\textbackslash{}\%\\ +\hline +...102 & Fraud Offenses - Impersonation & Anti-Hispanic Or Latino & 11 & 7.10\textbackslash{}\%\\ +\hline +...103 & Fraud Offenses - Impersonation & Anti-Catholic & 5 & 3.23\textbackslash{}\%\\ +\hline +...104 & Fraud Offenses - Impersonation & All Other & 50 & 32.32\textbackslash{}\%\\ +\hline +...105 & Fraud Offenses - Impersonation & Total & 155 & 100\textbackslash{}\%\\ +\hline +...106 & Fraud Offenses - Other & Anti-White & 34 & 27.87\textbackslash{}\%\\ +\hline +...107 & Fraud Offenses - Other & Anti-Sikh & 12 & 9.84\textbackslash{}\%\\ +\hline +...108 & Fraud Offenses - Other & Anti-Black & 12 & 9.84\textbackslash{}\%\\ +\hline +...109 & Fraud Offenses - Other & Anti-American Indian Or Native Alaskan & 12 & 9.84\textbackslash{}\%\\ +\hline +...110 & Fraud Offenses - Other & Anti-Mental Disability & 6 & 4.92\textbackslash{}\%\\ +\hline +...111 & Fraud Offenses - Other & All Other & 46 & 37.72\textbackslash{}\%\\ +\hline +...112 & Fraud Offenses - Other & Total & 122 & 100\textbackslash{}\%\\ +\hline +1...113 & Fraud Offenses - Welfare Fraud & Anti-White & 6 & 60.00\textbackslash{}\%\\ +\hline +2...114 & Fraud Offenses - Welfare Fraud & Anti-Mental Disability & 2 & 20.00\textbackslash{}\%\\ +\hline +3...115 & Fraud Offenses - Welfare Fraud & Anti-American Indian Or Native Alaskan & 1 & 10.00\textbackslash{}\%\\ +\hline +4...116 & Fraud Offenses - Welfare Fraud & Anti-Arab & 1 & 10.00\textbackslash{}\%\\ +\hline +NA...117 & NA & NA & NA & NA\\ +\hline +...118 & Fraud Offenses - Welfare Fraud & All Other & NA & NA\textbackslash{}\%\\ +\hline +...119 & Fraud Offenses - Welfare Fraud & Total & 10 & 100\textbackslash{}\%\\ +\hline +...120 & Fraud Offenses - Wire Fraud & Anti-White & 8 & 27.59\textbackslash{}\%\\ +\hline +...121 & Fraud Offenses - Wire Fraud & Anti-Gender Non-Conforming & 3 & 10.34\textbackslash{}\%\\ +\hline +...122 & Fraud Offenses - Wire Fraud & Anti-Catholic & 2 & 6.90\textbackslash{}\%\\ +\hline +...123 & Fraud Offenses - Wire Fraud & Anti-Female & 2 & 6.90\textbackslash{}\%\\ +\hline +...124 & Fraud Offenses - Wire Fraud & Anti-Multiple Races, Group & 2 & 6.90\textbackslash{}\%\\ +\hline +...125 & Fraud Offenses - Wire Fraud & All Other & 12 & 41.4\textbackslash{}\%\\ +\hline +...126 & Fraud Offenses - Wire Fraud & Total & 29 & 100\textbackslash{}\%\\ +\hline +1...127 & Gambling Offenses - Betting/Wagering & Anti-Physical Disability & 1 & 100.00\textbackslash{}\%\\ +\hline +NA...128 & NA & NA & NA & NA\\ +\hline +NA.1...129 & NA & NA & NA & NA\\ +\hline +NA.2...130 & NA & NA & NA & NA\\ +\hline +NA.3...131 & NA & NA & NA & NA\\ +\hline +...132 & Gambling Offenses - Betting/Wagering & All Other & NA & NA\textbackslash{}\%\\ +\hline +...133 & Gambling Offenses - Betting/Wagering & Total & 1 & 100\textbackslash{}\%\\ +\hline +1...134 & Human Trafficking - Commercial Sex Acts & Anti-Transgender & 1 & 25.00\textbackslash{}\%\\ +\hline +2...135 & Human Trafficking - Commercial Sex Acts & Anti-Asian & 1 & 25.00\textbackslash{}\%\\ +\hline +3...136 & Human Trafficking - Commercial Sex Acts & Anti-Physical Disability & 1 & 25.00\textbackslash{}\%\\ +\hline +4...137 & Human Trafficking - Commercial Sex Acts & Anti-Black & 1 & 25.00\textbackslash{}\%\\ +\hline +NA...138 & NA & NA & NA & NA\\ +\hline +...139 & Human Trafficking - Commercial Sex Acts & All Other & NA & NA\textbackslash{}\%\\ +\hline +...140 & Human Trafficking - Commercial Sex Acts & Total & 4 & 100\textbackslash{}\%\\ +\hline +1...141 & Human Trafficking - Involuntary Servitude & Anti-Female & 1 & 100.00\textbackslash{}\%\\ +\hline +NA...142 & NA & NA & NA & NA\\ +\hline +NA.1...143 & NA & NA & NA & NA\\ +\hline +NA.2...144 & NA & NA & NA & NA\\ +\hline +NA.3...145 & NA & NA & NA & NA\\ +\hline +...146 & Human Trafficking - Involuntary Servitude & All Other & NA & NA\textbackslash{}\%\\ +\hline +...147 & Human Trafficking - Involuntary Servitude & Total & 1 & 100\textbackslash{}\%\\ +\hline +...148 & Kidnapping/Abduction & Anti-Black & 31 & 17.92\textbackslash{}\%\\ +\hline +...149 & Kidnapping/Abduction & Anti-White & 31 & 17.92\textbackslash{}\%\\ +\hline +...150 & Kidnapping/Abduction & Anti-Gay (Male) & 13 & 7.51\textbackslash{}\%\\ +\hline +...151 & Kidnapping/Abduction & Anti-Hispanic Or Latino & 11 & 6.36\textbackslash{}\%\\ +\hline +...152 & Kidnapping/Abduction & Anti-Transgender & 9 & 5.20\textbackslash{}\%\\ +\hline +...153 & Kidnapping/Abduction & All Other & 78 & 45.08\textbackslash{}\%\\ +\hline +...154 & Kidnapping/Abduction & Total & 173 & 100\textbackslash{}\%\\ +\hline +...155 & Larceny/Theft Offenses - All Other Larceny & Anti-White & 824 & 27.38\textbackslash{}\%\\ +\hline +...156 & Larceny/Theft Offenses - All Other Larceny & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 320 & 10.63\textbackslash{}\%\\ +\hline +...157 & Larceny/Theft Offenses - All Other Larceny & Anti-Black & 271 & 9.00\textbackslash{}\%\\ +\hline +...158 & Larceny/Theft Offenses - All Other Larceny & Anti-American Indian Or Native Alaskan & 202 & 6.71\textbackslash{}\%\\ +\hline +...159 & Larceny/Theft Offenses - All Other Larceny & Anti-Mental Disability & 118 & 3.92\textbackslash{}\%\\ +\hline +...160 & Larceny/Theft Offenses - All Other Larceny & All Other & 1,275 & 42.36\textbackslash{}\%\\ +\hline +...161 & Larceny/Theft Offenses - All Other Larceny & Total & 3,010 & 100\textbackslash{}\%\\ +\hline +...162 & Larceny/Theft Offenses - Other & Anti-Black & 178 & 19.24\textbackslash{}\%\\ +\hline +...163 & Larceny/Theft Offenses - Other & Anti-Jewish & 176 & 19.03\textbackslash{}\%\\ +\hline +...164 & Larceny/Theft Offenses - Other & Anti-Gay (Male) & 84 & 9.08\textbackslash{}\%\\ +\hline +...165 & Larceny/Theft Offenses - Other & Anti-White & 76 & 8.22\textbackslash{}\%\\ +\hline +...166 & Larceny/Theft Offenses - Other & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 62 & 6.70\textbackslash{}\%\\ +\hline +...167 & Larceny/Theft Offenses - Other & All Other & 349 & 37.73\textbackslash{}\%\\ +\hline +...168 & Larceny/Theft Offenses - Other & Total & 925 & 100\textbackslash{}\%\\ +\hline +...169 & Larceny/Theft Offenses - Pocket-Picking & Anti-Black & 8 & 26.67\textbackslash{}\%\\ +\hline +...170 & Larceny/Theft Offenses - Pocket-Picking & Anti-White & 7 & 23.33\textbackslash{}\%\\ +\hline +...171 & Larceny/Theft Offenses - Pocket-Picking & Anti-Hispanic Or Latino & 4 & 13.33\textbackslash{}\%\\ +\hline +...172 & Larceny/Theft Offenses - Pocket-Picking & Anti-American Indian Or Native Alaskan & 3 & 10.00\textbackslash{}\%\\ +\hline +...173 & Larceny/Theft Offenses - Pocket-Picking & Anti-Physical Disability & 2 & 6.67\textbackslash{}\%\\ +\hline +...174 & Larceny/Theft Offenses - Pocket-Picking & All Other & 6 & 19.98\textbackslash{}\%\\ +\hline +...175 & Larceny/Theft Offenses - Pocket-Picking & Total & 30 & 100\textbackslash{}\%\\ +\hline +...176 & Larceny/Theft Offenses - Purse-Snatching & Anti-White & 10 & 32.26\textbackslash{}\%\\ +\hline +...177 & Larceny/Theft Offenses - Purse-Snatching & Anti-Black & 3 & 9.68\textbackslash{}\%\\ +\hline +...178 & Larceny/Theft Offenses - Purse-Snatching & Anti-American Indian Or Native Alaskan & 3 & 9.68\textbackslash{}\%\\ +\hline +...179 & Larceny/Theft Offenses - Purse-Snatching & Anti-Gay (Male) & 2 & 6.45\textbackslash{}\%\\ +\hline +...180 & Larceny/Theft Offenses - Purse-Snatching & Anti-Bisexual & 2 & 6.45\textbackslash{}\%\\ +\hline +...181 & Larceny/Theft Offenses - Purse-Snatching & All Other & 11 & 35.51\textbackslash{}\%\\ +\hline +...182 & Larceny/Theft Offenses - Purse-Snatching & Total & 31 & 100\textbackslash{}\%\\ +\hline +...183 & Larceny/Theft Offenses - Shoplifting & Anti-White & 285 & 33.41\textbackslash{}\%\\ +\hline +...184 & Larceny/Theft Offenses - Shoplifting & Anti-Black & 92 & 10.79\textbackslash{}\%\\ +\hline +...185 & Larceny/Theft Offenses - Shoplifting & Anti-American Indian Or Native Alaskan & 88 & 10.32\textbackslash{}\%\\ +\hline +...186 & Larceny/Theft Offenses - Shoplifting & Anti-Sikh & 35 & 4.10\textbackslash{}\%\\ +\hline +...187 & Larceny/Theft Offenses - Shoplifting & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 31 & 3.63\textbackslash{}\%\\ +\hline +...188 & Larceny/Theft Offenses - Shoplifting & All Other & 322 & 37.77\textbackslash{}\%\\ +\hline +...189 & Larceny/Theft Offenses - Shoplifting & Total & 853 & 100\textbackslash{}\%\\ +\hline +...190 & Larceny/Theft Offenses - Theft From Building & Anti-White & 206 & 30.07\textbackslash{}\%\\ +\hline +...191 & Larceny/Theft Offenses - Theft From Building & Anti-Black & 61 & 8.91\textbackslash{}\%\\ +\hline +...192 & Larceny/Theft Offenses - Theft From Building & Anti-American Indian Or Native Alaskan & 54 & 7.88\textbackslash{}\%\\ +\hline +...193 & Larceny/Theft Offenses - Theft From Building & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 47 & 6.86\textbackslash{}\%\\ +\hline +...194 & Larceny/Theft Offenses - Theft From Building & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 33 & 4.82\textbackslash{}\%\\ +\hline +...195 & Larceny/Theft Offenses - Theft From Building & All Other & 284 & 41.49\textbackslash{}\%\\ +\hline +...196 & Larceny/Theft Offenses - Theft From Building & Total & 685 & 100\textbackslash{}\%\\ +\hline +...197 & Larceny/Theft Offenses - Theft From Motor Vehicle & Anti-White & 313 & 33.23\textbackslash{}\%\\ +\hline +...198 & Larceny/Theft Offenses - Theft From Motor Vehicle & Anti-American Indian Or Native Alaskan & 102 & 10.83\textbackslash{}\%\\ +\hline +...199 & Larceny/Theft Offenses - Theft From Motor Vehicle & Anti-Black & 91 & 9.66\textbackslash{}\%\\ +\hline +...200 & Larceny/Theft Offenses - Theft From Motor Vehicle & Anti-Sikh & 43 & 4.56\textbackslash{}\%\\ +\hline +...201 & Larceny/Theft Offenses - Theft From Motor Vehicle & Anti-Hispanic Or Latino & 40 & 4.25\textbackslash{}\%\\ +\hline +...202 & Larceny/Theft Offenses - Theft From Motor Vehicle & All Other & 353 & 37.46\textbackslash{}\%\\ +\hline +...203 & Larceny/Theft Offenses - Theft From Motor Vehicle & Total & 942 & 100\textbackslash{}\%\\ +\hline +...204 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Anti-White & 91 & 34.34\textbackslash{}\%\\ +\hline +...205 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Anti-Black & 27 & 10.19\textbackslash{}\%\\ +\hline +...206 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Anti-American Indian Or Native Alaskan & 26 & 9.81\textbackslash{}\%\\ +\hline +...207 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Anti-Sikh & 14 & 5.28\textbackslash{}\%\\ +\hline +...208 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 10 & 3.77\textbackslash{}\%\\ +\hline +...209 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & All Other & 97 & 36.59\textbackslash{}\%\\ +\hline +...210 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Total & 265 & 100\textbackslash{}\%\\ +\hline +...211 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & Anti-White & 4 & 25.00\textbackslash{}\%\\ +\hline +...212 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & Anti-American Indian Or Native Alaskan & 3 & 18.75\textbackslash{}\%\\ +\hline +...213 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & Anti-Physical Disability & 3 & 18.75\textbackslash{}\%\\ +\hline +...214 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & Anti-Black & 2 & 12.50\textbackslash{}\%\\ +\hline +...215 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & Anti-Sikh & 1 & 6.25\textbackslash{}\%\\ +\hline +...216 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & All Other & 3 & 18.75\textbackslash{}\%\\ +\hline +...217 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & Total & 16 & 100\textbackslash{}\%\\ +\hline +...218 & Motor Vehicle Theft & Anti-White & 173 & 28.18\textbackslash{}\%\\ +\hline +...219 & Motor Vehicle Theft & Anti-Black & 87 & 14.17\textbackslash{}\%\\ +\hline +...220 & Motor Vehicle Theft & Anti-American Indian Or Native Alaskan & 81 & 13.19\textbackslash{}\%\\ +\hline +...221 & Motor Vehicle Theft & Anti-Sikh & 31 & 5.05\textbackslash{}\%\\ +\hline +...222 & Motor Vehicle Theft & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 25 & 4.07\textbackslash{}\%\\ +\hline +...223 & Motor Vehicle Theft & All Other & 217 & 35.34\textbackslash{}\%\\ +\hline +...224 & Motor Vehicle Theft & Total & 614 & 100\textbackslash{}\%\\ +\hline +...225 & Murder/Nonnegligent Manslaughter & Anti-Black & 82 & 23.56\textbackslash{}\%\\ +\hline +...226 & Murder/Nonnegligent Manslaughter & Anti-Gay (Male) & 65 & 18.68\textbackslash{}\%\\ +\hline +...227 & Murder/Nonnegligent Manslaughter & Anti-White & 52 & 14.94\textbackslash{}\%\\ +\hline +...228 & Murder/Nonnegligent Manslaughter & Anti-Hispanic Or Latino & 42 & 12.07\textbackslash{}\%\\ +\hline +...229 & Murder/Nonnegligent Manslaughter & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 16 & 4.60\textbackslash{}\%\\ +\hline +...230 & Murder/Nonnegligent Manslaughter & All Other & 91 & 26.14\textbackslash{}\%\\ +\hline +...231 & Murder/Nonnegligent Manslaughter & Total & 348 & 100\textbackslash{}\%\\ +\hline +...232 & Negligent Manslaughter & Anti-American Indian Or Native Alaskan & 2 & 25.00\textbackslash{}\%\\ +\hline +...233 & Negligent Manslaughter & Anti-Physical Disability & 2 & 25.00\textbackslash{}\%\\ +\hline +...234 & Negligent Manslaughter & Anti-Black & 2 & 25.00\textbackslash{}\%\\ +\hline +...235 & Negligent Manslaughter & Anti-Hispanic Or Latino & 1 & 12.50\textbackslash{}\%\\ +\hline +...236 & Negligent Manslaughter & Anti-White & 1 & 12.50\textbackslash{}\%\\ +\hline +...237 & Negligent Manslaughter & All Other & NA & NA\textbackslash{}\%\\ +\hline +...238 & Negligent Manslaughter & Total & 8 & 100\textbackslash{}\%\\ +\hline +...239 & Pornography/Obscene Material & Anti-Black & 15 & 16.85\textbackslash{}\%\\ +\hline +...240 & Pornography/Obscene Material & Anti-White & 10 & 11.24\textbackslash{}\%\\ +\hline +...241 & Pornography/Obscene Material & Anti-Female & 7 & 7.87\textbackslash{}\%\\ +\hline +...242 & Pornography/Obscene Material & Anti-Gay (Male) & 6 & 6.74\textbackslash{}\%\\ +\hline +...243 & Pornography/Obscene Material & Anti-American Indian Or Native Alaskan & 6 & 6.74\textbackslash{}\%\\ +\hline +...244 & Pornography/Obscene Material & All Other & 45 & 50.54\textbackslash{}\%\\ +\hline +...245 & Pornography/Obscene Material & Total & 89 & 100\textbackslash{}\%\\ +\hline +...246 & Prostitution Offenses - Assisting Or Promoting Prostitution & Anti-Mental Disability & 2 & 28.57\textbackslash{}\%\\ +\hline +...247 & Prostitution Offenses - Assisting Or Promoting Prostitution & Anti-White & 1 & 14.29\textbackslash{}\%\\ +\hline +...248 & Prostitution Offenses - Assisting Or Promoting Prostitution & Anti-Gender Non-Conforming & 1 & 14.29\textbackslash{}\%\\ +\hline +...249 & Prostitution Offenses - Assisting Or Promoting Prostitution & Anti-Black & 1 & 14.29\textbackslash{}\%\\ +\hline +...250 & Prostitution Offenses - Assisting Or Promoting Prostitution & Anti-Male & 1 & 14.29\textbackslash{}\%\\ +\hline +...251 & Prostitution Offenses - Assisting Or Promoting Prostitution & All Other & 1 & 14.29\textbackslash{}\%\\ +\hline +...252 & Prostitution Offenses - Assisting Or Promoting Prostitution & Total & 7 & 100\textbackslash{}\%\\ +\hline +1...253 & Prostitution Offenses - Prostitution & Anti-White & 10 & 66.67\textbackslash{}\%\\ +\hline +2...254 & Prostitution Offenses - Prostitution & Anti-Asian & 3 & 20.00\textbackslash{}\%\\ +\hline +3...255 & Prostitution Offenses - Prostitution & Anti-Lesbian (Female) & 1 & 6.67\textbackslash{}\%\\ +\hline +4...256 & Prostitution Offenses - Prostitution & Anti-Other Religion & 1 & 6.67\textbackslash{}\%\\ +\hline +NA...257 & NA & NA & NA & NA\\ +\hline +...258 & Prostitution Offenses - Prostitution & All Other & NA & NA\textbackslash{}\%\\ +\hline +...259 & Prostitution Offenses - Prostitution & Total & 15 & 100\textbackslash{}\%\\ +\hline +1...260 & Prostitution Offenses - Purchasing Prostitution & Anti-Asian & 1 & 50.00\textbackslash{}\%\\ +\hline +2...261 & Prostitution Offenses - Purchasing Prostitution & Anti-Heterosexual & 1 & 50.00\textbackslash{}\%\\ +\hline +NA...262 & NA & NA & NA & NA\\ +\hline +NA.1...263 & NA & NA & NA & NA\\ +\hline +NA.2...264 & NA & NA & NA & NA\\ +\hline +...265 & Prostitution Offenses - Purchasing Prostitution & All Other & NA & NA\textbackslash{}\%\\ +\hline +...266 & Prostitution Offenses - Purchasing Prostitution & Total & 2 & 100\textbackslash{}\%\\ +\hline +...267 & Robbery & Anti-White & 1,153 & 25.57\textbackslash{}\%\\ +\hline +...268 & Robbery & Anti-Gay (Male) & 1,079 & 23.93\textbackslash{}\%\\ +\hline +...269 & Robbery & Anti-Black & 673 & 14.93\textbackslash{}\%\\ +\hline +...270 & Robbery & Anti-Hispanic Or Latino & 544 & 12.06\textbackslash{}\%\\ +\hline +...271 & Robbery & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 215 & 4.77\textbackslash{}\%\\ +\hline +...272 & Robbery & All Other & 845 & 18.71\textbackslash{}\%\\ +\hline +...273 & Robbery & Total & 4,509 & 100\textbackslash{}\%\\ +\hline +...274 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & Anti-White & 62 & 23.40\textbackslash{}\%\\ +\hline +...275 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & Anti-Black & 33 & 12.45\textbackslash{}\%\\ +\hline +...276 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & Anti-Gay (Male) & 32 & 12.08\textbackslash{}\%\\ +\hline +...277 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & Anti-Mental Disability & 18 & 6.79\textbackslash{}\%\\ +\hline +...278 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & Anti-American Indian Or Native Alaskan & 14 & 5.28\textbackslash{}\%\\ +\hline +...279 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & All Other & 106 & 39.98\textbackslash{}\%\\ +\hline +...280 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & Total & 265 & 100\textbackslash{}\%\\ +\hline +...281 & Sex Offenses - Incest & Anti-White & 2 & 28.57\textbackslash{}\%\\ +\hline +...282 & Sex Offenses - Incest & Anti-American Indian Or Native Alaskan & 1 & 14.29\textbackslash{}\%\\ +\hline +...283 & Sex Offenses - Incest & Anti-Heterosexual & 1 & 14.29\textbackslash{}\%\\ +\hline +...284 & Sex Offenses - Incest & Anti-Lesbian (Female) & 1 & 14.29\textbackslash{}\%\\ +\hline +...285 & Sex Offenses - Incest & Anti-Bisexual & 1 & 14.29\textbackslash{}\%\\ +\hline +...286 & Sex Offenses - Incest & All Other & 1 & 14.29\textbackslash{}\%\\ +\hline +...287 & Sex Offenses - Incest & Total & 7 & 100\textbackslash{}\%\\ +\hline +...288 & Sex Offenses - Rape & Anti-White & 83 & 25.23\textbackslash{}\%\\ +\hline +...289 & Sex Offenses - Rape & Anti-Lesbian (Female) & 50 & 15.20\textbackslash{}\%\\ +\hline +...290 & Sex Offenses - Rape & Anti-Black & 46 & 13.98\textbackslash{}\%\\ +\hline +...291 & Sex Offenses - Rape & Anti-Mental Disability & 20 & 6.08\textbackslash{}\%\\ +\hline +...292 & Sex Offenses - Rape & Anti-Female & 16 & 4.86\textbackslash{}\%\\ +\hline +...293 & Sex Offenses - Rape & All Other & 114 & 34.63\textbackslash{}\%\\ +\hline +...294 & Sex Offenses - Rape & Total & 329 & 100\textbackslash{}\%\\ +\hline +...295 & Sex Offenses - Sexual Assault With An Object & Anti-Gay (Male) & 12 & 24.00\textbackslash{}\%\\ +\hline +...296 & Sex Offenses - Sexual Assault With An Object & Anti-Black & 7 & 14.00\textbackslash{}\%\\ +\hline +...297 & Sex Offenses - Sexual Assault With An Object & Anti-White & 7 & 14.00\textbackslash{}\%\\ +\hline +...298 & Sex Offenses - Sexual Assault With An Object & Anti-Lesbian (Female) & 5 & 10.00\textbackslash{}\%\\ +\hline +...299 & Sex Offenses - Sexual Assault With An Object & Anti-Transgender & 4 & 8.00\textbackslash{}\%\\ +\hline +...300 & Sex Offenses - Sexual Assault With An Object & All Other & 15 & 30\textbackslash{}\%\\ +\hline +...301 & Sex Offenses - Sexual Assault With An Object & Total & 50 & 100\textbackslash{}\%\\ +\hline +...302 & Sex Offenses - Sodomy & Anti-Gay (Male) & 27 & 31.40\textbackslash{}\%\\ +\hline +...303 & Sex Offenses - Sodomy & Anti-White & 11 & 12.79\textbackslash{}\%\\ +\hline +...304 & Sex Offenses - Sodomy & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 10 & 11.63\textbackslash{}\%\\ +\hline +...305 & Sex Offenses - Sodomy & Anti-Heterosexual & 8 & 9.30\textbackslash{}\%\\ +\hline +...306 & Sex Offenses - Sodomy & Anti-Transgender & 7 & 8.14\textbackslash{}\%\\ +\hline +...307 & Sex Offenses - Sodomy & All Other & 23 & 26.75\textbackslash{}\%\\ +\hline +...308 & Sex Offenses - Sodomy & Total & 86 & 100\textbackslash{}\%\\ +\hline +...309 & Sex Offenses - Statutory Rape & Anti-White & 7 & 31.82\textbackslash{}\%\\ +\hline +...310 & Sex Offenses - Statutory Rape & Anti-Gay (Male) & 2 & 9.09\textbackslash{}\%\\ +\hline +...311 & Sex Offenses - Statutory Rape & Anti-Black & 2 & 9.09\textbackslash{}\%\\ +\hline +...312 & Sex Offenses - Statutory Rape & Anti-Heterosexual & 2 & 9.09\textbackslash{}\%\\ +\hline +...313 & Sex Offenses - Statutory Rape & Anti-American Indian Or Native Alaskan & 2 & 9.09\textbackslash{}\%\\ +\hline +...314 & Sex Offenses - Statutory Rape & All Other & 7 & 31.85\textbackslash{}\%\\ +\hline +...315 & Sex Offenses - Statutory Rape & Total & 22 & 100\textbackslash{}\%\\ +\hline +...316 & Stolen Property Offenses (Receiving, Selling, Etc.) & Anti-White & 47 & 31.76\textbackslash{}\%\\ +\hline +...317 & Stolen Property Offenses (Receiving, Selling, Etc.) & Anti-American Indian Or Native Alaskan & 20 & 13.51\textbackslash{}\%\\ +\hline +...318 & Stolen Property Offenses (Receiving, Selling, Etc.) & Anti-Black & 17 & 11.49\textbackslash{}\%\\ +\hline +...319 & Stolen Property Offenses (Receiving, Selling, Etc.) & Anti-Sikh & 8 & 5.41\textbackslash{}\%\\ +\hline +...320 & Stolen Property Offenses (Receiving, Selling, Etc.) & Anti-Mental Disability & 6 & 4.05\textbackslash{}\%\\ +\hline +...321 & Stolen Property Offenses (Receiving, Selling, Etc.) & All Other & 50 & 33.79\textbackslash{}\%\\ +\hline +...322 & Stolen Property Offenses (Receiving, Selling, Etc.) & Total & 148 & 100\textbackslash{}\%\\ +\hline +...323 & Undocumented Code & Anti-White & 5 & 29.41\textbackslash{}\%\\ +\hline +...324 & Undocumented Code & Anti-Black & 4 & 23.53\textbackslash{}\%\\ +\hline +...325 & Undocumented Code & Anti-American Indian Or Native Alaskan & 3 & 17.65\textbackslash{}\%\\ +\hline +...326 & Undocumented Code & Anti-Catholic & 1 & 5.88\textbackslash{}\%\\ +\hline +...327 & Undocumented Code & Anti-Male & 1 & 5.88\textbackslash{}\%\\ +\hline +...328 & Undocumented Code & All Other & 3 & 17.64\textbackslash{}\%\\ +\hline +...329 & Undocumented Code & Total & 17 & 100\textbackslash{}\%\\ +\hline +...330 & Weapon Law Violations & Anti-Black & 179 & 35.73\textbackslash{}\%\\ +\hline +...331 & Weapon Law Violations & Anti-White & 98 & 19.56\textbackslash{}\%\\ +\hline +...332 & Weapon Law Violations & Anti-American Indian Or Native Alaskan & 26 & 5.19\textbackslash{}\%\\ +\hline +...333 & Weapon Law Violations & Anti-Hispanic Or Latino & 26 & 5.19\textbackslash{}\%\\ +\hline +...334 & Weapon Law Violations & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 20 & 3.99\textbackslash{}\%\\ +\hline +...335 & Weapon Law Violations & All Other & 152 & 30.38\textbackslash{}\%\\ +\hline +...336 & Weapon Law Violations & Total & 501 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -4785,2250 +1578,774 @@ This data is interesting because it includes the location - in categories for ty As with the crime and the bias motivation, the available locations have increased as time went on, though these newer locations are relatively uncommon. One important change in location is that starting in 2010 the location of "school/college" was split to have one location be for elementary and high schools and another location be for colleges and universities. The majority of hate crimes occur in the victim's home (30%), on a road or alley (19%), in an other or unknown location (13%), and in a parking lot or parking garage (6%). All other locations occur in fewer than 5% of hate crimes. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:hateLocations)The location of hate crime incidents. In incidents with multiple locations, this shows only the first location recorded.
Location First Year Reported # of Incidents % of Incidents
Total 252,094 100\%
Residence/Home 1991 73,887 29.31\%
Highway/Road/Alley/Street/Sidewalk 1991 47,006 18.65\%
Other/Unknown 1991 32,073 12.72\%
School/College 1991 17,679 7.01\%
Parking Lot/Drop Lot/Parking Garage 1991 14,389 5.71\%
Church/Synagogue/Temple/Mosque 1991 9,454 3.75\%
Commercial/Office Building 1991 5,673 2.25\%
Restaurant 1991 5,419 2.15\%
School - Elementary/Secondary 2010 4,899 1.94\%
Bar/Nightclub 1991 4,270 1.69\%
Government/Public Building 1991 3,785 1.50\%
Convenience Store 1991 3,531 1.40\%
Specialty Store (Tv, Fur, Etc.) 1991 2,926 1.16\%
Air/Bus/Train Terminal 1991 2,728 1.08\%
Service/Gas Station 1991 2,414 0.96\%
Park/Playground 2010 2,356 0.93\%
School - College/University 2010 2,351 0.93\%
Grocery/Supermarket 1991 2,325 0.92\%
Field/Woods 1991 2,241 0.89\%
Department/Discount Store 1991 2,159 0.86\%
Drug Store/Doctors Office/Hospital 1991 2,121 0.84\%
Jail/Prison/Penitentiary/Corrections Facility 1991 1,858 0.74\%
Hotel/Motel/Etc. 1991 1,738 0.69\%
Construction Site 1991 698 0.28\%
Bank/Savings And Loan 1991 596 0.24\%
Undocumented Code 2016 590 0.23\%
Liquor Store 1991 492 0.20\%
Lake/Waterway/Beach 1991 436 0.17\%
Shopping Mall 2010 325 0.13\%
Rental Storage Facility 1991 276 0.11\%
Community Center 2013 264 0.10\%
Shelter - Mission/Homeless 2011 202 0.08\%
Industrial Site 2010 155 0.06\%
Arena/Stadium/Fairgrounds/Coliseum 2011 106 0.04\%
Camp/Campground 2010 94 0.04\%
Auto Dealership New/Used 2011 92 0.04\%
Abandoned/Condemned Structure 2011 90 0.04\%
Gambling Facility/Casino/Race Track 2010 79 0.03\%
Rest Area 2011 68 0.03\%
Dock/Wharf/Freight/Modal Terminal 2012 55 0.02\%
Daycare Facility 2011 52 0.02\%
Amusement Park 2011 52 0.02\%
Farm Facility 2011 39 0.02\%
Tribal Lands 2011 27 0.01\%
Atm Separate From Bank 2011 18 0.01\%
Military Installation 2015 6 0.00\%
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:hatelocationOffense)The number and percent of offenses by location, 2023.
Location Offense \# of Incidents \% of Incidents
Abandoned/Condemned Structure Destruction/Damage/Vandalism of Property 51 56.67\%
Abandoned/Condemned Structure Assault Offenses - Intimidation 9 10.00\%
Abandoned/Condemned Structure Assault Offenses - Simple Assault 8 8.89\%
Abandoned/Condemned Structure Burglary/Breaking And Entering 6 6.67\%
Abandoned/Condemned Structure Assault Offenses - Aggravated Assault 4 4.44\%
Abandoned/Condemned Structure All Other 12 13.32\%
Abandoned/Condemned Structure Total 90 100\%
Air/Bus/Train Terminal Assault Offenses - Simple Assault 1,088 39.88\%
Air/Bus/Train Terminal Assault Offenses - Intimidation 588 21.55\%
Air/Bus/Train Terminal Assault Offenses - Aggravated Assault 458 16.79\%
Air/Bus/Train Terminal Destruction/Damage/Vandalism of Property 415 15.21\%
Air/Bus/Train Terminal Robbery 106 3.89\%
Air/Bus/Train Terminal All Other 73 2.7\%
Air/Bus/Train Terminal Total 2,728 100\%
Amusement Park Assault Offenses - Intimidation 16 30.77\%
Amusement Park Assault Offenses - Simple Assault 15 28.85\%
Amusement Park Destruction/Damage/Vandalism of Property 8 15.38\%
Amusement Park Assault Offenses - Aggravated Assault 6 11.54\%
Amusement Park Larceny/Theft Offenses - All Other Larceny 3 5.77\%
Amusement Park All Other 4 7.68\%
Amusement Park Total 52 100\%
Arena/Stadium/Fairgrounds/Coliseum Assault Offenses - Simple Assault 48 45.28\%
Arena/Stadium/Fairgrounds/Coliseum Assault Offenses - Intimidation 24 22.64\%
Arena/Stadium/Fairgrounds/Coliseum Destruction/Damage/Vandalism of Property 21 19.81\%
Arena/Stadium/Fairgrounds/Coliseum Assault Offenses - Aggravated Assault 8 7.55\%
Arena/Stadium/Fairgrounds/Coliseum Larceny/Theft Offenses - All Other Larceny 1 0.94\%
Arena/Stadium/Fairgrounds/Coliseum All Other 4 3.76\%
Arena/Stadium/Fairgrounds/Coliseum Total 106 100\%
Atm Separate From Bank Assault Offenses - Simple Assault 5 27.78\%
Atm Separate From Bank Assault Offenses - Intimidation 4 22.22\%
Atm Separate From Bank Larceny/Theft Offenses - All Other Larceny 2 11.11\%
Atm Separate From Bank Fraud Offenses - Credit Card/Atm Fraud 2 11.11\%
Atm Separate From Bank Fraud Offenses - False Pretenses/Swindle/Confidence Game 1 5.56\%
Atm Separate From Bank All Other 4 22.24\%
Atm Separate From Bank Total 18 100\%
Auto Dealership New/Used Assault Offenses - Intimidation 32 34.78\%
Auto Dealership New/Used Destruction/Damage/Vandalism of Property 13 14.13\%
Auto Dealership New/Used Assault Offenses - Simple Assault 12 13.04\%
Auto Dealership New/Used Larceny/Theft Offenses - All Other Larceny 8 8.70\%
Auto Dealership New/Used Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 6 6.52\%
Auto Dealership New/Used All Other 21 22.83\%
Auto Dealership New/Used Total 92 100\%
Bank/Savings And Loan Assault Offenses - Intimidation 191 32.05\%
Bank/Savings And Loan Destruction/Damage/Vandalism of Property 103 17.28\%
Bank/Savings And Loan Assault Offenses - Simple Assault 73 12.25\%
Bank/Savings And Loan Counterfeiting/Forgery 57 9.56\%
Bank/Savings And Loan Assault Offenses - Aggravated Assault 39 6.54\%
Bank/Savings And Loan All Other 133 22.32\%
Bank/Savings And Loan Total 596 100\%
Bar/Nightclub Assault Offenses - Simple Assault 1,968 46.09\%
Bar/Nightclub Assault Offenses - Aggravated Assault 1,021 23.91\%
Bar/Nightclub Assault Offenses - Intimidation 793 18.57\%
Bar/Nightclub Destruction/Damage/Vandalism of Property 285 6.67\%
Bar/Nightclub Robbery 64 1.50\%
Bar/Nightclub All Other 139 3.22\%
Bar/Nightclub Total 4,270 100\%
Camp/Campground Destruction/Damage/Vandalism of Property 28 29.79\%
Camp/Campground Assault Offenses - Simple Assault 20 21.28\%
Camp/Campground Assault Offenses - Intimidation 18 19.15\%
Camp/Campground Assault Offenses - Aggravated Assault 12 12.77\%
Camp/Campground Larceny/Theft Offenses - All Other Larceny 6 6.38\%
Camp/Campground All Other 10 10.61\%
Camp/Campground Total 94 100\%
Church/Synagogue/Temple/Mosque Destruction/Damage/Vandalism of Property 6,329 66.95\%
Church/Synagogue/Temple/Mosque Assault Offenses - Intimidation 1,820 19.25\%
Church/Synagogue/Temple/Mosque Burglary/Breaking And Entering 380 4.02\%
Church/Synagogue/Temple/Mosque Arson 337 3.56\%
Church/Synagogue/Temple/Mosque Assault Offenses - Simple Assault 251 2.65\%
Church/Synagogue/Temple/Mosque All Other 337 3.57\%
Church/Synagogue/Temple/Mosque Total 9,454 100\%
Commercial/Office Building Assault Offenses - Intimidation 2,416 42.59\%
Commercial/Office Building Destruction/Damage/Vandalism of Property 1,837 32.38\%
Commercial/Office Building Assault Offenses - Simple Assault 722 12.73\%
Commercial/Office Building Assault Offenses - Aggravated Assault 256 4.51\%
Commercial/Office Building Burglary/Breaking And Entering 121 2.13\%
Commercial/Office Building All Other 321 5.68\%
Commercial/Office Building Total 5,673 100\%
Community Center Assault Offenses - Intimidation 108 40.91\%
Community Center Destruction/Damage/Vandalism of Property 84 31.82\%
Community Center Assault Offenses - Simple Assault 44 16.67\%
Community Center Assault Offenses - Aggravated Assault 14 5.30\%
Community Center Burglary/Breaking And Entering 4 1.52\%
Community Center All Other 10 3.8\%
Community Center Total 264 100\%
Construction Site Destruction/Damage/Vandalism of Property 390 55.87\%
Construction Site Assault Offenses - Intimidation 109 15.62\%
Construction Site Assault Offenses - Simple Assault 57 8.17\%
Construction Site Burglary/Breaking And Entering 44 6.30\%
Construction Site Assault Offenses - Aggravated Assault 39 5.59\%
Construction Site All Other 59 8.45\%
Construction Site Total 698 100\%
Convenience Store Assault Offenses - Intimidation 1,193 33.79\%
Convenience Store Assault Offenses - Simple Assault 956 27.07\%
Convenience Store Assault Offenses - Aggravated Assault 501 14.19\%
Convenience Store Destruction/Damage/Vandalism of Property 397 11.24\%
Convenience Store Larceny/Theft Offenses - Shoplifting 114 3.23\%
Convenience Store All Other 370 10.48\%
Convenience Store Total 3,531 100\%
Daycare Facility Destruction/Damage/Vandalism of Property 18 34.62\%
Daycare Facility Assault Offenses - Intimidation 13 25.00\%
Daycare Facility Assault Offenses - Simple Assault 10 19.23\%
Daycare Facility Assault Offenses - Aggravated Assault 3 5.77\%
Daycare Facility Burglary/Breaking And Entering 3 5.77\%
Daycare Facility All Other 5 9.6\%
Daycare Facility Total 52 100\%
Department/Discount Store Assault Offenses - Intimidation 590 27.33\%
Department/Discount Store Assault Offenses - Simple Assault 487 22.56\%
Department/Discount Store Larceny/Theft Offenses - Shoplifting 320 14.82\%
Department/Discount Store Destruction/Damage/Vandalism of Property 279 12.92\%
Department/Discount Store Assault Offenses - Aggravated Assault 167 7.74\%
Department/Discount Store All Other 316 14.63\%
Department/Discount Store Total 2,159 100\%
Dock/Wharf/Freight/Modal Terminal Assault Offenses - Simple Assault 20 36.36\%
Dock/Wharf/Freight/Modal Terminal Destruction/Damage/Vandalism of Property 10 18.18\%
Dock/Wharf/Freight/Modal Terminal Assault Offenses - Intimidation 10 18.18\%
Dock/Wharf/Freight/Modal Terminal Assault Offenses - Aggravated Assault 7 12.73\%
Dock/Wharf/Freight/Modal Terminal Robbery 5 9.09\%
Dock/Wharf/Freight/Modal Terminal All Other 3 5.45\%
Dock/Wharf/Freight/Modal Terminal Total 55 100\%
Drug Store/Doctors Office/Hospital Assault Offenses - Intimidation 881 41.54\%
Drug Store/Doctors Office/Hospital Assault Offenses - Simple Assault 556 26.21\%
Drug Store/Doctors Office/Hospital Destruction/Damage/Vandalism of Property 399 18.81\%
Drug Store/Doctors Office/Hospital Assault Offenses - Aggravated Assault 147 6.93\%
Drug Store/Doctors Office/Hospital Larceny/Theft Offenses - Shoplifting 22 1.04\%
Drug Store/Doctors Office/Hospital All Other 116 5.46\%
Drug Store/Doctors Office/Hospital Total 2,121 100\%
Farm Facility Destruction/Damage/Vandalism of Property 9 23.08\%
Farm Facility Burglary/Breaking And Entering 7 17.95\%
Farm Facility Assault Offenses - Aggravated Assault 6 15.38\%
Farm Facility Assault Offenses - Simple Assault 5 12.82\%
Farm Facility Larceny/Theft Offenses - All Other Larceny 4 10.26\%
Farm Facility All Other 8 20.5\%
Farm Facility Total 39 100\%
Field/Woods Destruction/Damage/Vandalism of Property 667 29.76\%
Field/Woods Assault Offenses - Simple Assault 530 23.65\%
Field/Woods Assault Offenses - Aggravated Assault 447 19.95\%
Field/Woods Assault Offenses - Intimidation 302 13.48\%
Field/Woods Robbery 118 5.27\%
Field/Woods All Other 177 7.88\%
Field/Woods Total 2,241 100\%
Gambling Facility/Casino/Race Track Assault Offenses - Simple Assault 33 41.77\%
Gambling Facility/Casino/Race Track Assault Offenses - Intimidation 12 15.19\%
Gambling Facility/Casino/Race Track Larceny/Theft Offenses - All Other Larceny 8 10.13\%
Gambling Facility/Casino/Race Track Destruction/Damage/Vandalism of Property 8 10.13\%
Gambling Facility/Casino/Race Track Assault Offenses - Aggravated Assault 4 5.06\%
Gambling Facility/Casino/Race Track All Other 14 17.74\%
Gambling Facility/Casino/Race Track Total 79 100\%
Government/Public Building Destruction/Damage/Vandalism of Property 1,426 37.68\%
Government/Public Building Assault Offenses - Intimidation 1,383 36.54\%
Government/Public Building Assault Offenses - Simple Assault 581 15.35\%
Government/Public Building Assault Offenses - Aggravated Assault 195 5.15\%
Government/Public Building Larceny/Theft Offenses - All Other Larceny 36 0.95\%
Government/Public Building All Other 164 4.34\%
Government/Public Building Total 3,785 100\%
Grocery/Supermarket Assault Offenses - Intimidation 702 30.19\%
Grocery/Supermarket Assault Offenses - Simple Assault 619 26.62\%
Grocery/Supermarket Destruction/Damage/Vandalism of Property 329 14.15\%
Grocery/Supermarket Assault Offenses - Aggravated Assault 246 10.58\%
Grocery/Supermarket Larceny/Theft Offenses - Shoplifting 199 8.56\%
Grocery/Supermarket All Other 230 9.87\%
Grocery/Supermarket Total 2,325 100\%
Highway/Road/Alley/Street/Sidewalk Assault Offenses - Simple Assault 13,746 29.24\%
Highway/Road/Alley/Street/Sidewalk Assault Offenses - Aggravated Assault 10,788 22.95\%
Highway/Road/Alley/Street/Sidewalk Assault Offenses - Intimidation 10,312 21.94\%
Highway/Road/Alley/Street/Sidewalk Destruction/Damage/Vandalism of Property 7,701 16.38\%
Highway/Road/Alley/Street/Sidewalk Robbery 2,241 4.77\%
Highway/Road/Alley/Street/Sidewalk All Other 2,218 4.69\%
Highway/Road/Alley/Street/Sidewalk Total 47,006 100\%
Hotel/Motel/Etc. Assault Offenses - Intimidation 541 31.13\%
Hotel/Motel/Etc. Assault Offenses - Simple Assault 495 28.48\%
Hotel/Motel/Etc. Destruction/Damage/Vandalism of Property 256 14.73\%
Hotel/Motel/Etc. Assault Offenses - Aggravated Assault 242 13.92\%
Hotel/Motel/Etc. Robbery 31 1.78\%
Hotel/Motel/Etc. All Other 173 9.99\%
Hotel/Motel/Etc. Total 1,738 100\%
Industrial Site Assault Offenses - Intimidation 58 37.42\%
Industrial Site Destruction/Damage/Vandalism of Property 41 26.45\%
Industrial Site Assault Offenses - Simple Assault 18 11.61\%
Industrial Site Assault Offenses - Aggravated Assault 13 8.39\%
Industrial Site Larceny/Theft Offenses - All Other Larceny 9 5.81\%
Industrial Site All Other 16 10.35\%
Industrial Site Total 155 100\%
Jail/Prison/Penitentiary/Corrections Facility Assault Offenses - Simple Assault 978 52.64\%
Jail/Prison/Penitentiary/Corrections Facility Assault Offenses - Aggravated Assault 396 21.31\%
Jail/Prison/Penitentiary/Corrections Facility Assault Offenses - Intimidation 344 18.51\%
Jail/Prison/Penitentiary/Corrections Facility Destruction/Damage/Vandalism of Property 51 2.74\%
Jail/Prison/Penitentiary/Corrections Facility Drug/Narcotic Offenses - Drug/Narcotic Violations 23 1.24\%
Jail/Prison/Penitentiary/Corrections Facility All Other 66 3.52\%
Jail/Prison/Penitentiary/Corrections Facility Total 1,858 100\%
Lake/Waterway/Beach Assault Offenses - Simple Assault 136 31.19\%
Lake/Waterway/Beach Assault Offenses - Aggravated Assault 104 23.85\%
Lake/Waterway/Beach Destruction/Damage/Vandalism of Property 87 19.95\%
Lake/Waterway/Beach Assault Offenses - Intimidation 65 14.91\%
Lake/Waterway/Beach Robbery 17 3.90\%
Lake/Waterway/Beach All Other 27 6.21\%
Lake/Waterway/Beach Total 436 100\%
Liquor Store Assault Offenses - Intimidation 174 35.37\%
Liquor Store Assault Offenses - Simple Assault 112 22.76\%
Liquor Store Assault Offenses - Aggravated Assault 93 18.90\%
Liquor Store Destruction/Damage/Vandalism of Property 55 11.18\%
Liquor Store Robbery 17 3.46\%
Liquor Store All Other 41 8.33\%
Liquor Store Total 492 100\%
Military Installation Destruction/Damage/Vandalism of Property 2 33.33\%
Military Installation Larceny/Theft Offenses - All Other Larceny 1 16.67\%
Military Installation Human Trafficking - Involuntary Servitude 1 16.67\%
Military Installation Assault Offenses - Simple Assault 1 16.67\%
Military Installation Murder/Nonnegligent Manslaughter 1 16.67\%
Military Installation All Other NA NA\%
Military Installation Total 6 100\%
Other/Unknown Destruction/Damage/Vandalism of Property 11,530 35.95\%
Other/Unknown Assault Offenses - Intimidation 9,923 30.94\%
Other/Unknown Assault Offenses - Simple Assault 6,021 18.77\%
Other/Unknown Assault Offenses - Aggravated Assault 2,641 8.23\%
Other/Unknown Robbery 593 1.85\%
Other/Unknown All Other 1,365 4.27\%
Other/Unknown Total 32,073 100\%
Park/Playground Destruction/Damage/Vandalism of Property 1,193 50.64\%
Park/Playground Assault Offenses - Simple Assault 405 17.19\%
Park/Playground Assault Offenses - Intimidation 342 14.52\%
Park/Playground Assault Offenses - Aggravated Assault 282 11.97\%
Park/Playground Robbery 66 2.80\%
Park/Playground All Other 68 2.86\%
Park/Playground Total 2,356 100\%
Parking Lot/Drop Lot/Parking Garage Destruction/Damage/Vandalism of Property 4,392 30.52\%
Parking Lot/Drop Lot/Parking Garage Assault Offenses - Simple Assault 3,318 23.06\%
Parking Lot/Drop Lot/Parking Garage Assault Offenses - Intimidation 2,951 20.51\%
Parking Lot/Drop Lot/Parking Garage Assault Offenses - Aggravated Assault 2,392 16.62\%
Parking Lot/Drop Lot/Parking Garage Robbery 345 2.40\%
Parking Lot/Drop Lot/Parking Garage All Other 991 6.88\%
Parking Lot/Drop Lot/Parking Garage Total 14,389 100\%
Rental Storage Facility Destruction/Damage/Vandalism of Property 106 38.41\%
Rental Storage Facility Assault Offenses - Intimidation 45 16.30\%
Rental Storage Facility Burglary/Breaking And Entering 41 14.86\%
Rental Storage Facility Assault Offenses - Simple Assault 25 9.06\%
Rental Storage Facility Assault Offenses - Aggravated Assault 19 6.88\%
Rental Storage Facility All Other 40 14.47\%
Rental Storage Facility Total 276 100\%
Residence/Home Assault Offenses - Intimidation 27,096 36.67\%
Residence/Home Destruction/Damage/Vandalism of Property 23,877 32.32\%
Residence/Home Assault Offenses - Simple Assault 9,733 13.17\%
Residence/Home Assault Offenses - Aggravated Assault 5,264 7.12\%
Residence/Home Burglary/Breaking And Entering 2,470 3.34\%
Residence/Home All Other 5,447 7.36\%
Residence/Home Total 73,887 100\%
Rest Area Destruction/Damage/Vandalism of Property 40 58.82\%
Rest Area Assault Offenses - Simple Assault 11 16.18\%
Rest Area Assault Offenses - Intimidation 9 13.24\%
Rest Area Assault Offenses - Aggravated Assault 7 10.29\%
Rest Area Larceny/Theft Offenses - All Other Larceny 1 1.47\%
Rest Area All Other NA NA\%
Rest Area Total 68 100\%
Restaurant Assault Offenses - Intimidation 1,944 35.87\%
Restaurant Assault Offenses - Simple Assault 1,591 29.36\%
Restaurant Destruction/Damage/Vandalism of Property 937 17.29\%
Restaurant Assault Offenses - Aggravated Assault 641 11.83\%
Restaurant Robbery 58 1.07\%
Restaurant All Other 248 4.6\%
Restaurant Total 5,419 100\%
School - College/University Destruction/Damage/Vandalism of Property 1,238 52.66\%
School - College/University Assault Offenses - Intimidation 668 28.41\%
School - College/University Assault Offenses - Simple Assault 254 10.80\%
School - College/University Assault Offenses - Aggravated Assault 64 2.72\%
School - College/University Burglary/Breaking And Entering 29 1.23\%
School - College/University All Other 98 4.16\%
School - College/University Total 2,351 100\%
School - Elementary/Secondary Assault Offenses - Intimidation 1,814 37.03\%
School - Elementary/Secondary Destruction/Damage/Vandalism of Property 1,655 33.78\%
School - Elementary/Secondary Assault Offenses - Simple Assault 1,043 21.29\%
School - Elementary/Secondary Assault Offenses - Aggravated Assault 175 3.57\%
School - Elementary/Secondary Burglary/Breaking And Entering 44 0.90\%
School - Elementary/Secondary All Other 168 3.41\%
School - Elementary/Secondary Total 4,899 100\%
School/College Destruction/Damage/Vandalism of Property 7,964 45.05\%
School/College Assault Offenses - Intimidation 5,287 29.91\%
School/College Assault Offenses - Simple Assault 3,182 18.00\%
School/College Assault Offenses - Aggravated Assault 694 3.93\%
School/College Burglary/Breaking And Entering 134 0.76\%
School/College All Other 418 2.38\%
School/College Total 17,679 100\%
Service/Gas Station Assault Offenses - Intimidation 803 33.26\%
Service/Gas Station Assault Offenses - Simple Assault 610 25.27\%
Service/Gas Station Assault Offenses - Aggravated Assault 400 16.57\%
Service/Gas Station Destruction/Damage/Vandalism of Property 257 10.65\%
Service/Gas Station Larceny/Theft Offenses - All Other Larceny 106 4.39\%
Service/Gas Station All Other 238 9.85\%
Service/Gas Station Total 2,414 100\%
Shelter - Mission/Homeless Assault Offenses - Simple Assault 105 51.98\%
Shelter - Mission/Homeless Assault Offenses - Intimidation 50 24.75\%
Shelter - Mission/Homeless Assault Offenses - Aggravated Assault 31 15.35\%
Shelter - Mission/Homeless Destruction/Damage/Vandalism of Property 11 5.45\%
Shelter - Mission/Homeless Sex Offenses - Sodomy 1 0.50\%
Shelter - Mission/Homeless All Other 4 2\%
Shelter - Mission/Homeless Total 202 100\%
Shopping Mall Assault Offenses - Simple Assault 92 28.31\%
Shopping Mall Assault Offenses - Intimidation 88 27.08\%
Shopping Mall Destruction/Damage/Vandalism of Property 73 22.46\%
Shopping Mall Assault Offenses - Aggravated Assault 35 10.77\%
Shopping Mall Larceny/Theft Offenses - Shoplifting 16 4.92\%
Shopping Mall All Other 21 6.49\%
Shopping Mall Total 325 100\%
Specialty Store (Tv, Fur, Etc.) Assault Offenses - Intimidation 1,116 38.14\%
Specialty Store (Tv, Fur, Etc.) Destruction/Damage/Vandalism of Property 945 32.30\%
Specialty Store (Tv, Fur, Etc.) Assault Offenses - Simple Assault 419 14.32\%
Specialty Store (Tv, Fur, Etc.) Assault Offenses - Aggravated Assault 141 4.82\%
Specialty Store (Tv, Fur, Etc.) Larceny/Theft Offenses - Shoplifting 59 2.02\%
Specialty Store (Tv, Fur, Etc.) All Other 246 8.37\%
Specialty Store (Tv, Fur, Etc.) Total 2,926 100\%
Tribal Lands Assault Offenses - Intimidation 6 22.22\%
Tribal Lands Assault Offenses - Simple Assault 6 22.22\%
Tribal Lands Assault Offenses - Aggravated Assault 6 22.22\%
Tribal Lands Destruction/Damage/Vandalism of Property 5 18.52\%
Tribal Lands Undocumented Code 1 3.70\%
Tribal Lands All Other 3 11.1\%
Tribal Lands Total 27 100\%
Undocumented Code Assault Offenses - Intimidation 529 89.66\%
Undocumented Code Fraud Offenses - Other 16 2.71\%
Undocumented Code Pornography/Obscene Material 8 1.36\%
Undocumented Code Fraud Offenses - False Pretenses/Swindle/Confidence Game 8 1.36\%
Undocumented Code Extortion/Blackmail 7 1.19\%
Undocumented Code All Other 22 3.74\%
Undocumented Code Total 590 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:hateLocations)The location of hate crime incidents. In incidents with multiple locations, this shows only the first location recorded.}\\ +\hline +Location & First Year Reported & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:hateLocations)The location of hate crime incidents. In incidents with multiple locations, this shows only the first location recorded. \textit{(continued)}}\\ +\hline +Location & First Year Reported & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Total & & 252,094 & 100\textbackslash{}\%\\ +\hline +Residence/Home & 1991 & 73,887 & 29.31\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & 1991 & 47,006 & 18.65\textbackslash{}\%\\ +\hline +Other/Unknown & 1991 & 32,073 & 12.72\textbackslash{}\%\\ +\hline +School/College & 1991 & 17,679 & 7.01\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & 1991 & 14,389 & 5.71\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & 1991 & 9,454 & 3.75\textbackslash{}\%\\ +\hline +Commercial/Office Building & 1991 & 5,673 & 2.25\textbackslash{}\%\\ +\hline +Restaurant & 1991 & 5,419 & 2.15\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & 2010 & 4,899 & 1.94\textbackslash{}\%\\ +\hline +Bar/Nightclub & 1991 & 4,270 & 1.69\textbackslash{}\%\\ +\hline +Government/Public Building & 1991 & 3,785 & 1.50\textbackslash{}\%\\ +\hline +Convenience Store & 1991 & 3,531 & 1.40\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & 1991 & 2,926 & 1.16\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & 1991 & 2,728 & 1.08\textbackslash{}\%\\ +\hline +Service/Gas Station & 1991 & 2,414 & 0.96\textbackslash{}\%\\ +\hline +Park/Playground & 2010 & 2,356 & 0.93\textbackslash{}\%\\ +\hline +School - College/University & 2010 & 2,351 & 0.93\textbackslash{}\%\\ +\hline +Grocery/Supermarket & 1991 & 2,325 & 0.92\textbackslash{}\%\\ +\hline +Field/Woods & 1991 & 2,241 & 0.89\textbackslash{}\%\\ +\hline +Department/Discount Store & 1991 & 2,159 & 0.86\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & 1991 & 2,121 & 0.84\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & 1991 & 1,858 & 0.74\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & 1991 & 1,738 & 0.69\textbackslash{}\%\\ +\hline +Construction Site & 1991 & 698 & 0.28\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & 1991 & 596 & 0.24\textbackslash{}\%\\ +\hline +Undocumented Code & 2016 & 590 & 0.23\textbackslash{}\%\\ +\hline +Liquor Store & 1991 & 492 & 0.20\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & 1991 & 436 & 0.17\textbackslash{}\%\\ +\hline +Shopping Mall & 2010 & 325 & 0.13\textbackslash{}\%\\ +\hline +Rental Storage Facility & 1991 & 276 & 0.11\textbackslash{}\%\\ +\hline +Community Center & 2013 & 264 & 0.10\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & 2011 & 202 & 0.08\textbackslash{}\%\\ +\hline +Industrial Site & 2010 & 155 & 0.06\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & 2011 & 106 & 0.04\textbackslash{}\%\\ +\hline +Camp/Campground & 2010 & 94 & 0.04\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & 2011 & 92 & 0.04\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & 2011 & 90 & 0.04\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & 2010 & 79 & 0.03\textbackslash{}\%\\ +\hline +Rest Area & 2011 & 68 & 0.03\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & 2012 & 55 & 0.02\textbackslash{}\%\\ +\hline +Daycare Facility & 2011 & 52 & 0.02\textbackslash{}\%\\ +\hline +Amusement Park & 2011 & 52 & 0.02\textbackslash{}\%\\ +\hline +Farm Facility & 2011 & 39 & 0.02\textbackslash{}\%\\ +\hline +Tribal Lands & 2011 & 27 & 0.01\textbackslash{}\%\\ +\hline +Atm Separate From Bank & 2011 & 18 & 0.01\textbackslash{}\%\\ +\hline +Military Installation & 2015 & 6 & 0.00\textbackslash{}\%\\ +\hline +\end{longtable} + + + + + +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:hatelocationOffense)The number and percent of offenses by location, 2023.}\\ +\hline +Location & Offense & \textbackslash{}\# of Incidents & \textbackslash{}\% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:hatelocationOffense)The number and percent of offenses by location, 2023. \textit{(continued)}}\\ +\hline +Location & Offense & \textbackslash{}\# of Incidents & \textbackslash{}\% of Incidents\\ +\hline +\endhead +Abandoned/Condemned Structure & Destruction/Damage/Vandalism of Property & 51 & 56.67\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Assault Offenses - Intimidation & 9 & 10.00\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Assault Offenses - Simple Assault & 8 & 8.89\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Burglary/Breaking And Entering & 6 & 6.67\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Assault Offenses - Aggravated Assault & 4 & 4.44\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & All Other & 12 & 13.32\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Total & 90 & 100\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Assault Offenses - Simple Assault & 1,088 & 39.88\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Assault Offenses - Intimidation & 588 & 21.55\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Assault Offenses - Aggravated Assault & 458 & 16.79\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Destruction/Damage/Vandalism of Property & 415 & 15.21\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Robbery & 106 & 3.89\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & All Other & 73 & 2.7\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Total & 2,728 & 100\textbackslash{}\%\\ +\hline +Amusement Park & Assault Offenses - Intimidation & 16 & 30.77\textbackslash{}\%\\ +\hline +Amusement Park & Assault Offenses - Simple Assault & 15 & 28.85\textbackslash{}\%\\ +\hline +Amusement Park & Destruction/Damage/Vandalism of Property & 8 & 15.38\textbackslash{}\%\\ +\hline +Amusement Park & Assault Offenses - Aggravated Assault & 6 & 11.54\textbackslash{}\%\\ +\hline +Amusement Park & Larceny/Theft Offenses - All Other Larceny & 3 & 5.77\textbackslash{}\%\\ +\hline +Amusement Park & All Other & 4 & 7.68\textbackslash{}\%\\ +\hline +Amusement Park & Total & 52 & 100\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Assault Offenses - Simple Assault & 48 & 45.28\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Assault Offenses - Intimidation & 24 & 22.64\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Destruction/Damage/Vandalism of Property & 21 & 19.81\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Assault Offenses - Aggravated Assault & 8 & 7.55\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Larceny/Theft Offenses - All Other Larceny & 1 & 0.94\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & All Other & 4 & 3.76\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Total & 106 & 100\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Assault Offenses - Simple Assault & 5 & 27.78\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Assault Offenses - Intimidation & 4 & 22.22\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Larceny/Theft Offenses - All Other Larceny & 2 & 11.11\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Fraud Offenses - Credit Card/Atm Fraud & 2 & 11.11\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 1 & 5.56\textbackslash{}\%\\ +\hline +Atm Separate From Bank & All Other & 4 & 22.24\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Total & 18 & 100\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Assault Offenses - Intimidation & 32 & 34.78\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Destruction/Damage/Vandalism of Property & 13 & 14.13\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Assault Offenses - Simple Assault & 12 & 13.04\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Larceny/Theft Offenses - All Other Larceny & 8 & 8.70\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 6 & 6.52\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & All Other & 21 & 22.83\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Total & 92 & 100\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Assault Offenses - Intimidation & 191 & 32.05\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Destruction/Damage/Vandalism of Property & 103 & 17.28\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Assault Offenses - Simple Assault & 73 & 12.25\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Counterfeiting/Forgery & 57 & 9.56\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Assault Offenses - Aggravated Assault & 39 & 6.54\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & All Other & 133 & 22.32\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Total & 596 & 100\textbackslash{}\%\\ +\hline +Bar/Nightclub & Assault Offenses - Simple Assault & 1,968 & 46.09\textbackslash{}\%\\ +\hline +Bar/Nightclub & Assault Offenses - Aggravated Assault & 1,021 & 23.91\textbackslash{}\%\\ +\hline +Bar/Nightclub & Assault Offenses - Intimidation & 793 & 18.57\textbackslash{}\%\\ +\hline +Bar/Nightclub & Destruction/Damage/Vandalism of Property & 285 & 6.67\textbackslash{}\%\\ +\hline +Bar/Nightclub & Robbery & 64 & 1.50\textbackslash{}\%\\ +\hline +Bar/Nightclub & All Other & 139 & 3.22\textbackslash{}\%\\ +\hline +Bar/Nightclub & Total & 4,270 & 100\textbackslash{}\%\\ +\hline +Camp/Campground & Destruction/Damage/Vandalism of Property & 28 & 29.79\textbackslash{}\%\\ +\hline +Camp/Campground & Assault Offenses - Simple Assault & 20 & 21.28\textbackslash{}\%\\ +\hline +Camp/Campground & Assault Offenses - Intimidation & 18 & 19.15\textbackslash{}\%\\ +\hline +Camp/Campground & Assault Offenses - Aggravated Assault & 12 & 12.77\textbackslash{}\%\\ +\hline +Camp/Campground & Larceny/Theft Offenses - All Other Larceny & 6 & 6.38\textbackslash{}\%\\ +\hline +Camp/Campground & All Other & 10 & 10.61\textbackslash{}\%\\ +\hline +Camp/Campground & Total & 94 & 100\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Destruction/Damage/Vandalism of Property & 6,329 & 66.95\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Assault Offenses - Intimidation & 1,820 & 19.25\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Burglary/Breaking And Entering & 380 & 4.02\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Arson & 337 & 3.56\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Assault Offenses - Simple Assault & 251 & 2.65\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & All Other & 337 & 3.57\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Total & 9,454 & 100\textbackslash{}\%\\ +\hline +Commercial/Office Building & Assault Offenses - Intimidation & 2,416 & 42.59\textbackslash{}\%\\ +\hline +Commercial/Office Building & Destruction/Damage/Vandalism of Property & 1,837 & 32.38\textbackslash{}\%\\ +\hline +Commercial/Office Building & Assault Offenses - Simple Assault & 722 & 12.73\textbackslash{}\%\\ +\hline +Commercial/Office Building & Assault Offenses - Aggravated Assault & 256 & 4.51\textbackslash{}\%\\ +\hline +Commercial/Office Building & Burglary/Breaking And Entering & 121 & 2.13\textbackslash{}\%\\ +\hline +Commercial/Office Building & All Other & 321 & 5.68\textbackslash{}\%\\ +\hline +Commercial/Office Building & Total & 5,673 & 100\textbackslash{}\%\\ +\hline +Community Center & Assault Offenses - Intimidation & 108 & 40.91\textbackslash{}\%\\ +\hline +Community Center & Destruction/Damage/Vandalism of Property & 84 & 31.82\textbackslash{}\%\\ +\hline +Community Center & Assault Offenses - Simple Assault & 44 & 16.67\textbackslash{}\%\\ +\hline +Community Center & Assault Offenses - Aggravated Assault & 14 & 5.30\textbackslash{}\%\\ +\hline +Community Center & Burglary/Breaking And Entering & 4 & 1.52\textbackslash{}\%\\ +\hline +Community Center & All Other & 10 & 3.8\textbackslash{}\%\\ +\hline +Community Center & Total & 264 & 100\textbackslash{}\%\\ +\hline +Construction Site & Destruction/Damage/Vandalism of Property & 390 & 55.87\textbackslash{}\%\\ +\hline +Construction Site & Assault Offenses - Intimidation & 109 & 15.62\textbackslash{}\%\\ +\hline +Construction Site & Assault Offenses - Simple Assault & 57 & 8.17\textbackslash{}\%\\ +\hline +Construction Site & Burglary/Breaking And Entering & 44 & 6.30\textbackslash{}\%\\ +\hline +Construction Site & Assault Offenses - Aggravated Assault & 39 & 5.59\textbackslash{}\%\\ +\hline +Construction Site & All Other & 59 & 8.45\textbackslash{}\%\\ +\hline +Construction Site & Total & 698 & 100\textbackslash{}\%\\ +\hline +Convenience Store & Assault Offenses - Intimidation & 1,193 & 33.79\textbackslash{}\%\\ +\hline +Convenience Store & Assault Offenses - Simple Assault & 956 & 27.07\textbackslash{}\%\\ +\hline +Convenience Store & Assault Offenses - Aggravated Assault & 501 & 14.19\textbackslash{}\%\\ +\hline +Convenience Store & Destruction/Damage/Vandalism of Property & 397 & 11.24\textbackslash{}\%\\ +\hline +Convenience Store & Larceny/Theft Offenses - Shoplifting & 114 & 3.23\textbackslash{}\%\\ +\hline +Convenience Store & All Other & 370 & 10.48\textbackslash{}\%\\ +\hline +Convenience Store & Total & 3,531 & 100\textbackslash{}\%\\ +\hline +Daycare Facility & Destruction/Damage/Vandalism of Property & 18 & 34.62\textbackslash{}\%\\ +\hline +Daycare Facility & Assault Offenses - Intimidation & 13 & 25.00\textbackslash{}\%\\ +\hline +Daycare Facility & Assault Offenses - Simple Assault & 10 & 19.23\textbackslash{}\%\\ +\hline +Daycare Facility & Assault Offenses - Aggravated Assault & 3 & 5.77\textbackslash{}\%\\ +\hline +Daycare Facility & Burglary/Breaking And Entering & 3 & 5.77\textbackslash{}\%\\ +\hline +Daycare Facility & All Other & 5 & 9.6\textbackslash{}\%\\ +\hline +Daycare Facility & Total & 52 & 100\textbackslash{}\%\\ +\hline +Department/Discount Store & Assault Offenses - Intimidation & 590 & 27.33\textbackslash{}\%\\ +\hline +Department/Discount Store & Assault Offenses - Simple Assault & 487 & 22.56\textbackslash{}\%\\ +\hline +Department/Discount Store & Larceny/Theft Offenses - Shoplifting & 320 & 14.82\textbackslash{}\%\\ +\hline +Department/Discount Store & Destruction/Damage/Vandalism of Property & 279 & 12.92\textbackslash{}\%\\ +\hline +Department/Discount Store & Assault Offenses - Aggravated Assault & 167 & 7.74\textbackslash{}\%\\ +\hline +Department/Discount Store & All Other & 316 & 14.63\textbackslash{}\%\\ +\hline +Department/Discount Store & Total & 2,159 & 100\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Assault Offenses - Simple Assault & 20 & 36.36\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Destruction/Damage/Vandalism of Property & 10 & 18.18\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Assault Offenses - Intimidation & 10 & 18.18\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Assault Offenses - Aggravated Assault & 7 & 12.73\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Robbery & 5 & 9.09\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & All Other & 3 & 5.45\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Total & 55 & 100\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Assault Offenses - Intimidation & 881 & 41.54\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Assault Offenses - Simple Assault & 556 & 26.21\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Destruction/Damage/Vandalism of Property & 399 & 18.81\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Assault Offenses - Aggravated Assault & 147 & 6.93\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Larceny/Theft Offenses - Shoplifting & 22 & 1.04\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & All Other & 116 & 5.46\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Total & 2,121 & 100\textbackslash{}\%\\ +\hline +Farm Facility & Destruction/Damage/Vandalism of Property & 9 & 23.08\textbackslash{}\%\\ +\hline +Farm Facility & Burglary/Breaking And Entering & 7 & 17.95\textbackslash{}\%\\ +\hline +Farm Facility & Assault Offenses - Aggravated Assault & 6 & 15.38\textbackslash{}\%\\ +\hline +Farm Facility & Assault Offenses - Simple Assault & 5 & 12.82\textbackslash{}\%\\ +\hline +Farm Facility & Larceny/Theft Offenses - All Other Larceny & 4 & 10.26\textbackslash{}\%\\ +\hline +Farm Facility & All Other & 8 & 20.5\textbackslash{}\%\\ +\hline +Farm Facility & Total & 39 & 100\textbackslash{}\%\\ +\hline +Field/Woods & Destruction/Damage/Vandalism of Property & 667 & 29.76\textbackslash{}\%\\ +\hline +Field/Woods & Assault Offenses - Simple Assault & 530 & 23.65\textbackslash{}\%\\ +\hline +Field/Woods & Assault Offenses - Aggravated Assault & 447 & 19.95\textbackslash{}\%\\ +\hline +Field/Woods & Assault Offenses - Intimidation & 302 & 13.48\textbackslash{}\%\\ +\hline +Field/Woods & Robbery & 118 & 5.27\textbackslash{}\%\\ +\hline +Field/Woods & All Other & 177 & 7.88\textbackslash{}\%\\ +\hline +Field/Woods & Total & 2,241 & 100\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Assault Offenses - Simple Assault & 33 & 41.77\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Assault Offenses - Intimidation & 12 & 15.19\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Larceny/Theft Offenses - All Other Larceny & 8 & 10.13\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Destruction/Damage/Vandalism of Property & 8 & 10.13\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Assault Offenses - Aggravated Assault & 4 & 5.06\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & All Other & 14 & 17.74\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Total & 79 & 100\textbackslash{}\%\\ +\hline +Government/Public Building & Destruction/Damage/Vandalism of Property & 1,426 & 37.68\textbackslash{}\%\\ +\hline +Government/Public Building & Assault Offenses - Intimidation & 1,383 & 36.54\textbackslash{}\%\\ +\hline +Government/Public Building & Assault Offenses - Simple Assault & 581 & 15.35\textbackslash{}\%\\ +\hline +Government/Public Building & Assault Offenses - Aggravated Assault & 195 & 5.15\textbackslash{}\%\\ +\hline +Government/Public Building & Larceny/Theft Offenses - All Other Larceny & 36 & 0.95\textbackslash{}\%\\ +\hline +Government/Public Building & All Other & 164 & 4.34\textbackslash{}\%\\ +\hline +Government/Public Building & Total & 3,785 & 100\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Assault Offenses - Intimidation & 702 & 30.19\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Assault Offenses - Simple Assault & 619 & 26.62\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Destruction/Damage/Vandalism of Property & 329 & 14.15\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Assault Offenses - Aggravated Assault & 246 & 10.58\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Larceny/Theft Offenses - Shoplifting & 199 & 8.56\textbackslash{}\%\\ +\hline +Grocery/Supermarket & All Other & 230 & 9.87\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Total & 2,325 & 100\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Assault Offenses - Simple Assault & 13,746 & 29.24\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Assault Offenses - Aggravated Assault & 10,788 & 22.95\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Assault Offenses - Intimidation & 10,312 & 21.94\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Destruction/Damage/Vandalism of Property & 7,701 & 16.38\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Robbery & 2,241 & 4.77\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & All Other & 2,218 & 4.69\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Total & 47,006 & 100\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Assault Offenses - Intimidation & 541 & 31.13\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Assault Offenses - Simple Assault & 495 & 28.48\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Destruction/Damage/Vandalism of Property & 256 & 14.73\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Assault Offenses - Aggravated Assault & 242 & 13.92\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Robbery & 31 & 1.78\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & All Other & 173 & 9.99\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Total & 1,738 & 100\textbackslash{}\%\\ +\hline +Industrial Site & Assault Offenses - Intimidation & 58 & 37.42\textbackslash{}\%\\ +\hline +Industrial Site & Destruction/Damage/Vandalism of Property & 41 & 26.45\textbackslash{}\%\\ +\hline +Industrial Site & Assault Offenses - Simple Assault & 18 & 11.61\textbackslash{}\%\\ +\hline +Industrial Site & Assault Offenses - Aggravated Assault & 13 & 8.39\textbackslash{}\%\\ +\hline +Industrial Site & Larceny/Theft Offenses - All Other Larceny & 9 & 5.81\textbackslash{}\%\\ +\hline +Industrial Site & All Other & 16 & 10.35\textbackslash{}\%\\ +\hline +Industrial Site & Total & 155 & 100\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Assault Offenses - Simple Assault & 978 & 52.64\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Assault Offenses - Aggravated Assault & 396 & 21.31\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Assault Offenses - Intimidation & 344 & 18.51\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Destruction/Damage/Vandalism of Property & 51 & 2.74\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Drug/Narcotic Offenses - Drug/Narcotic Violations & 23 & 1.24\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & All Other & 66 & 3.52\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Total & 1,858 & 100\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Assault Offenses - Simple Assault & 136 & 31.19\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Assault Offenses - Aggravated Assault & 104 & 23.85\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Destruction/Damage/Vandalism of Property & 87 & 19.95\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Assault Offenses - Intimidation & 65 & 14.91\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Robbery & 17 & 3.90\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & All Other & 27 & 6.21\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Total & 436 & 100\textbackslash{}\%\\ +\hline +Liquor Store & Assault Offenses - Intimidation & 174 & 35.37\textbackslash{}\%\\ +\hline +Liquor Store & Assault Offenses - Simple Assault & 112 & 22.76\textbackslash{}\%\\ +\hline +Liquor Store & Assault Offenses - Aggravated Assault & 93 & 18.90\textbackslash{}\%\\ +\hline +Liquor Store & Destruction/Damage/Vandalism of Property & 55 & 11.18\textbackslash{}\%\\ +\hline +Liquor Store & Robbery & 17 & 3.46\textbackslash{}\%\\ +\hline +Liquor Store & All Other & 41 & 8.33\textbackslash{}\%\\ +\hline +Liquor Store & Total & 492 & 100\textbackslash{}\%\\ +\hline +Military Installation & Destruction/Damage/Vandalism of Property & 2 & 33.33\textbackslash{}\%\\ +\hline +Military Installation & Larceny/Theft Offenses - All Other Larceny & 1 & 16.67\textbackslash{}\%\\ +\hline +Military Installation & Human Trafficking - Involuntary Servitude & 1 & 16.67\textbackslash{}\%\\ +\hline +Military Installation & Assault Offenses - Simple Assault & 1 & 16.67\textbackslash{}\%\\ +\hline +Military Installation & Murder/Nonnegligent Manslaughter & 1 & 16.67\textbackslash{}\%\\ +\hline +Military Installation & All Other & NA & NA\textbackslash{}\%\\ +\hline +Military Installation & Total & 6 & 100\textbackslash{}\%\\ +\hline +Other/Unknown & Destruction/Damage/Vandalism of Property & 11,530 & 35.95\textbackslash{}\%\\ +\hline +Other/Unknown & Assault Offenses - Intimidation & 9,923 & 30.94\textbackslash{}\%\\ +\hline +Other/Unknown & Assault Offenses - Simple Assault & 6,021 & 18.77\textbackslash{}\%\\ +\hline +Other/Unknown & Assault Offenses - Aggravated Assault & 2,641 & 8.23\textbackslash{}\%\\ +\hline +Other/Unknown & Robbery & 593 & 1.85\textbackslash{}\%\\ +\hline +Other/Unknown & All Other & 1,365 & 4.27\textbackslash{}\%\\ +\hline +Other/Unknown & Total & 32,073 & 100\textbackslash{}\%\\ +\hline +Park/Playground & Destruction/Damage/Vandalism of Property & 1,193 & 50.64\textbackslash{}\%\\ +\hline +Park/Playground & Assault Offenses - Simple Assault & 405 & 17.19\textbackslash{}\%\\ +\hline +Park/Playground & Assault Offenses - Intimidation & 342 & 14.52\textbackslash{}\%\\ +\hline +Park/Playground & Assault Offenses - Aggravated Assault & 282 & 11.97\textbackslash{}\%\\ +\hline +Park/Playground & Robbery & 66 & 2.80\textbackslash{}\%\\ +\hline +Park/Playground & All Other & 68 & 2.86\textbackslash{}\%\\ +\hline +Park/Playground & Total & 2,356 & 100\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Destruction/Damage/Vandalism of Property & 4,392 & 30.52\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Assault Offenses - Simple Assault & 3,318 & 23.06\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Assault Offenses - Intimidation & 2,951 & 20.51\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Assault Offenses - Aggravated Assault & 2,392 & 16.62\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Robbery & 345 & 2.40\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & All Other & 991 & 6.88\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Total & 14,389 & 100\textbackslash{}\%\\ +\hline +Rental Storage Facility & Destruction/Damage/Vandalism of Property & 106 & 38.41\textbackslash{}\%\\ +\hline +Rental Storage Facility & Assault Offenses - Intimidation & 45 & 16.30\textbackslash{}\%\\ +\hline +Rental Storage Facility & Burglary/Breaking And Entering & 41 & 14.86\textbackslash{}\%\\ +\hline +Rental Storage Facility & Assault Offenses - Simple Assault & 25 & 9.06\textbackslash{}\%\\ +\hline +Rental Storage Facility & Assault Offenses - Aggravated Assault & 19 & 6.88\textbackslash{}\%\\ +\hline +Rental Storage Facility & All Other & 40 & 14.47\textbackslash{}\%\\ +\hline +Rental Storage Facility & Total & 276 & 100\textbackslash{}\%\\ +\hline +Residence/Home & Assault Offenses - Intimidation & 27,096 & 36.67\textbackslash{}\%\\ +\hline +Residence/Home & Destruction/Damage/Vandalism of Property & 23,877 & 32.32\textbackslash{}\%\\ +\hline +Residence/Home & Assault Offenses - Simple Assault & 9,733 & 13.17\textbackslash{}\%\\ +\hline +Residence/Home & Assault Offenses - Aggravated Assault & 5,264 & 7.12\textbackslash{}\%\\ +\hline +Residence/Home & Burglary/Breaking And Entering & 2,470 & 3.34\textbackslash{}\%\\ +\hline +Residence/Home & All Other & 5,447 & 7.36\textbackslash{}\%\\ +\hline +Residence/Home & Total & 73,887 & 100\textbackslash{}\%\\ +\hline +Rest Area & Destruction/Damage/Vandalism of Property & 40 & 58.82\textbackslash{}\%\\ +\hline +Rest Area & Assault Offenses - Simple Assault & 11 & 16.18\textbackslash{}\%\\ +\hline +Rest Area & Assault Offenses - Intimidation & 9 & 13.24\textbackslash{}\%\\ +\hline +Rest Area & Assault Offenses - Aggravated Assault & 7 & 10.29\textbackslash{}\%\\ +\hline +Rest Area & Larceny/Theft Offenses - All Other Larceny & 1 & 1.47\textbackslash{}\%\\ +\hline +Rest Area & All Other & NA & NA\textbackslash{}\%\\ +\hline +Rest Area & Total & 68 & 100\textbackslash{}\%\\ +\hline +Restaurant & Assault Offenses - Intimidation & 1,944 & 35.87\textbackslash{}\%\\ +\hline +Restaurant & Assault Offenses - Simple Assault & 1,591 & 29.36\textbackslash{}\%\\ +\hline +Restaurant & Destruction/Damage/Vandalism of Property & 937 & 17.29\textbackslash{}\%\\ +\hline +Restaurant & Assault Offenses - Aggravated Assault & 641 & 11.83\textbackslash{}\%\\ +\hline +Restaurant & Robbery & 58 & 1.07\textbackslash{}\%\\ +\hline +Restaurant & All Other & 248 & 4.6\textbackslash{}\%\\ +\hline +Restaurant & Total & 5,419 & 100\textbackslash{}\%\\ +\hline +School - College/University & Destruction/Damage/Vandalism of Property & 1,238 & 52.66\textbackslash{}\%\\ +\hline +School - College/University & Assault Offenses - Intimidation & 668 & 28.41\textbackslash{}\%\\ +\hline +School - College/University & Assault Offenses - Simple Assault & 254 & 10.80\textbackslash{}\%\\ +\hline +School - College/University & Assault Offenses - Aggravated Assault & 64 & 2.72\textbackslash{}\%\\ +\hline +School - College/University & Burglary/Breaking And Entering & 29 & 1.23\textbackslash{}\%\\ +\hline +School - College/University & All Other & 98 & 4.16\textbackslash{}\%\\ +\hline +School - College/University & Total & 2,351 & 100\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Assault Offenses - Intimidation & 1,814 & 37.03\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Destruction/Damage/Vandalism of Property & 1,655 & 33.78\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Assault Offenses - Simple Assault & 1,043 & 21.29\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Assault Offenses - Aggravated Assault & 175 & 3.57\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Burglary/Breaking And Entering & 44 & 0.90\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & All Other & 168 & 3.41\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Total & 4,899 & 100\textbackslash{}\%\\ +\hline +School/College & Destruction/Damage/Vandalism of Property & 7,964 & 45.05\textbackslash{}\%\\ +\hline +School/College & Assault Offenses - Intimidation & 5,287 & 29.91\textbackslash{}\%\\ +\hline +School/College & Assault Offenses - Simple Assault & 3,182 & 18.00\textbackslash{}\%\\ +\hline +School/College & Assault Offenses - Aggravated Assault & 694 & 3.93\textbackslash{}\%\\ +\hline +School/College & Burglary/Breaking And Entering & 134 & 0.76\textbackslash{}\%\\ +\hline +School/College & All Other & 418 & 2.38\textbackslash{}\%\\ +\hline +School/College & Total & 17,679 & 100\textbackslash{}\%\\ +\hline +Service/Gas Station & Assault Offenses - Intimidation & 803 & 33.26\textbackslash{}\%\\ +\hline +Service/Gas Station & Assault Offenses - Simple Assault & 610 & 25.27\textbackslash{}\%\\ +\hline +Service/Gas Station & Assault Offenses - Aggravated Assault & 400 & 16.57\textbackslash{}\%\\ +\hline +Service/Gas Station & Destruction/Damage/Vandalism of Property & 257 & 10.65\textbackslash{}\%\\ +\hline +Service/Gas Station & Larceny/Theft Offenses - All Other Larceny & 106 & 4.39\textbackslash{}\%\\ +\hline +Service/Gas Station & All Other & 238 & 9.85\textbackslash{}\%\\ +\hline +Service/Gas Station & Total & 2,414 & 100\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Assault Offenses - Simple Assault & 105 & 51.98\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Assault Offenses - Intimidation & 50 & 24.75\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Assault Offenses - Aggravated Assault & 31 & 15.35\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Destruction/Damage/Vandalism of Property & 11 & 5.45\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Sex Offenses - Sodomy & 1 & 0.50\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & All Other & 4 & 2\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Total & 202 & 100\textbackslash{}\%\\ +\hline +Shopping Mall & Assault Offenses - Simple Assault & 92 & 28.31\textbackslash{}\%\\ +\hline +Shopping Mall & Assault Offenses - Intimidation & 88 & 27.08\textbackslash{}\%\\ +\hline +Shopping Mall & Destruction/Damage/Vandalism of Property & 73 & 22.46\textbackslash{}\%\\ +\hline +Shopping Mall & Assault Offenses - Aggravated Assault & 35 & 10.77\textbackslash{}\%\\ +\hline +Shopping Mall & Larceny/Theft Offenses - Shoplifting & 16 & 4.92\textbackslash{}\%\\ +\hline +Shopping Mall & All Other & 21 & 6.49\textbackslash{}\%\\ +\hline +Shopping Mall & Total & 325 & 100\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Assault Offenses - Intimidation & 1,116 & 38.14\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Destruction/Damage/Vandalism of Property & 945 & 32.30\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Assault Offenses - Simple Assault & 419 & 14.32\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Assault Offenses - Aggravated Assault & 141 & 4.82\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Larceny/Theft Offenses - Shoplifting & 59 & 2.02\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & All Other & 246 & 8.37\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Total & 2,926 & 100\textbackslash{}\%\\ +\hline +Tribal Lands & Assault Offenses - Intimidation & 6 & 22.22\textbackslash{}\%\\ +\hline +Tribal Lands & Assault Offenses - Simple Assault & 6 & 22.22\textbackslash{}\%\\ +\hline +Tribal Lands & Assault Offenses - Aggravated Assault & 6 & 22.22\textbackslash{}\%\\ +\hline +Tribal Lands & Destruction/Damage/Vandalism of Property & 5 & 18.52\textbackslash{}\%\\ +\hline +Tribal Lands & Undocumented Code & 1 & 3.70\textbackslash{}\%\\ +\hline +Tribal Lands & All Other & 3 & 11.1\textbackslash{}\%\\ +\hline +Tribal Lands & Total & 27 & 100\textbackslash{}\%\\ +\hline +Undocumented Code & Assault Offenses - Intimidation & 529 & 89.66\textbackslash{}\%\\ +\hline +Undocumented Code & Fraud Offenses - Other & 16 & 2.71\textbackslash{}\%\\ +\hline +Undocumented Code & Pornography/Obscene Material & 8 & 1.36\textbackslash{}\%\\ +\hline +Undocumented Code & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 8 & 1.36\textbackslash{}\%\\ +\hline +Undocumented Code & Extortion/Blackmail & 7 & 1.19\textbackslash{}\%\\ +\hline +Undocumented Code & All Other & 22 & 3.74\textbackslash{}\%\\ +\hline +Undocumented Code & Total & 590 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -7039,17 +2356,25 @@ There are two variables that have information about the people who commit the ha As shown in Figure \@ref(fig:hateCrimeOffenderNumber), the most common racial group is "unknown" since the police do not know the race of the offenders. Next are White offenders at nearly 40% of hate crimes followed by Black offenders at nearly 13% of hate crimes. The remaining racial groups are rare with about 2% of hate crimes being committed by a multi-racial group of offenders and 0.8 % of hate crimes committed by Asian or Pacific Islander offenders and 0.6 % committed by American Indian or Native Alaskan offenders. Only 0.05% of offenders are Native Hawaiian or Other Pacific Islander. -
-The race of offenders, as a group, for hate crime incidents, 1991-2023. -

(\#fig:hateCrimeOffenderRace)The race of offenders, as a group, for hate crime incidents, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimeOffenderRace-1} + +} + +\caption{The race of offenders, as a group, for hate crime incidents, 1991-2023.}(\#fig:hateCrimeOffenderRace) +\end{figure} When the police do not have any information about the number of offenders (which is common in cases of property crimes such as vandalism but rare in violent crimes), this data considers that to have zero offenders. The zero is just a placeholder that means that the police do not know how many offenders there are, not that they think there were actually no offenders. Figure \@ref(fig:hateCrimeOffenderNumber) shows the percent of hate crimes from 1991-2023 that have each number of offenders recorded. In the actual data it says the actual number of offenders, with the largest group in the current data going to 99 offenders - in this graph I group 10 or more offenders together for simplicity. I also relabel zero offenders as "Unknown" offenders since that is more accurate. The most common number of offenders per hate crime is one offender, at about 49% of hate crimes from 1991-2023 having only one offender. This drops sharply to 9% of hate crimes having two offenders and continues to drop as the number of offenders increase. However, about a third (36%) of hate crimes have an unknown number of offenders. -
-The race of offenders, as a group, for hate crime incidents, 1991-2023. -

(\#fig:hateCrimeOffenderNumber)The race of offenders, as a group, for hate crime incidents, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimeOffenderNumber-1} + +} + +\caption{The race of offenders, as a group, for hate crime incidents, 1991-2023.}(\#fig:hateCrimeOffenderNumber) +\end{figure} ### Number of victims @@ -7065,13 +2390,21 @@ Nonetheless, this is a book about the data. So let us look at one final variable While this variable is available in the data, I actually think it is best not to use it. I think there is always a danger in being overly precise and, therefore, overly confident about what the data shows. When you use the number of incidents you implicitly allow for each incident to affect multiple people^[One of the points of hate crimes is to cause fear in more than just the direct victim of the crime.] and readers understand that. But if you use this variable and say that "this is the number of victims of this crime" you are implicitly closing that door and therefore being too confident about how many victims of a crime there is. This is especially true for readers who are not paying close attention - such as academics reviewing papers or New York Times reporters - since they may think you are measuring the number of victims in a better way than you actually are. -
-The annual number of anti-Jewish hate crime incidents and victims in the United States, 1991-2023. -

(\#fig:jewishIncidentVictim)The annual number of anti-Jewish hate crime incidents and victims in the United States, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/jewishIncidentVictim-1} + +} + +\caption{The annual number of anti-Jewish hate crime incidents and victims in the United States, 1991-2023.}(\#fig:jewishIncidentVictim) +\end{figure} + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/blackIncidentVictim-1} + +} -
-The annual number of anti-Black hate crime incidents and victims in the United States, 1991-2023. -

(\#fig:blackIncidentVictim)The annual number of anti-Black hate crime incidents and victims in the United States, 1991-2023.

-
+\caption{The annual number of anti-Black hate crime incidents and victims in the United States, 1991-2023.}(\#fig:blackIncidentVictim) +\end{figure} diff --git a/docs/10_ucr_county.md b/docs/10_ucr_county.md index 14ae4c7..d3de168 100644 --- a/docs/10_ucr_county.md +++ b/docs/10_ucr_county.md @@ -38,130 +38,98 @@ The table shows what percent of agencies that reported data had data for each po Ultimately the measures are quite similar though systematically overcount reporting using the 1st method. Both show that about 27% of agencies reported zero months. The 1st method has about 69% of agencies reporting 12 months while the 2nd method has 66%, a difference of about 5% which is potentially a sizable difference depending on exactly which agencies are missing. The remaining nearly 4% of agencies all have far more people in the 2nd method than in the first, which is because in the 1st method those agencies are recorded as having 12 months since they reported in December but not actually all 12 months of the year. There are huge percent increases in moving from the 1st to 2nd method for 1-11 months reported though this is due to having very few agencies report this many months. Most months have only about 50 agencies in the 1st method and about 70 in the 2nd, so the actual difference is not that large. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyMonthsReportedDefinitions)The number of months reported to the 2016 Offenses Known and Clearances by Arrest data using two definitions of months reported. The 'Last Month' definition is the preferred measure of months reported by both the FBI and researchers, though this overcounts months.
Months Reported Last Month Definition Months Not Missing Definition Percent Difference
0 4,360 (22.55%) 4,364 (22.57%) +0.09
1 29 (0.15%) 79 (0.41%) +172.41
2 34 (0.18%) 69 (0.36%) +102.94
3 42 (0.22%) 65 (0.34%) +54.76
4 29 (0.15%) 43 (0.22%) +48.28
5 28 (0.14%) 66 (0.34%) +135.71
6 39 (0.2%) 64 (0.33%) +64.10
7 30 (0.16%) 54 (0.28%) +80.00
8 45 (0.23%) 68 (0.35%) +51.11
9 47 (0.24%) 88 (0.46%) +87.23
10 70 (0.36%) 115 (0.59%) +64.29
11 129 (0.67%) 241 (1.25%) +86.82
12 14,451 (74.75%) 14,017 (72.5%) -3.00
+ +\begin{longtable}[t]{l|r|r|r} +\caption{(\#tab:countyMonthsReportedDefinitions)The number of months reported to the 2016 Offenses Known and Clearances by Arrest data using two definitions of months reported. The 'Last Month' definition is the preferred measure of months reported by both the FBI and researchers, though this overcounts months.}\\ +\hline +Months Reported & Last Month Definition & Months Not Missing Definition & Percent Difference\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyMonthsReportedDefinitions)The number of months reported to the 2016 Offenses Known and Clearances by Arrest data using two definitions of months reported. The 'Last Month' definition is the preferred measure of months reported by both the FBI and researchers, though this overcounts months. \textit{(continued)}}\\ +\hline +Months Reported & Last Month Definition & Months Not Missing Definition & Percent Difference\\ +\hline +\endhead +0 & 4,360 (22.55\%) & 4,364 (22.57\%) & +0.09\\ +\hline +1 & 29 (0.15\%) & 79 (0.41\%) & +172.41\\ +\hline +2 & 34 (0.18\%) & 69 (0.36\%) & +102.94\\ +\hline +3 & 42 (0.22\%) & 65 (0.34\%) & +54.76\\ +\hline +4 & 29 (0.15\%) & 43 (0.22\%) & +48.28\\ +\hline +5 & 28 (0.14\%) & 66 (0.34\%) & +135.71\\ +\hline +6 & 39 (0.2\%) & 64 (0.33\%) & +64.10\\ +\hline +7 & 30 (0.16\%) & 54 (0.28\%) & +80.00\\ +\hline +8 & 45 (0.23\%) & 68 (0.35\%) & +51.11\\ +\hline +9 & 47 (0.24\%) & 88 (0.46\%) & +87.23\\ +\hline +10 & 70 (0.36\%) & 115 (0.59\%) & +64.29\\ +\hline +11 & 129 (0.67\%) & 241 (1.25\%) & +86.82\\ +\hline +12 & 14,451 (74.75\%) & 14,017 (72.5\%) & -3.00\\ +\hline +\end{longtable} We can look at how these trends change over time in Figure \@ref(fig:countyAnyMonthReported) that shows the annual number of agencies that reported at least one month of data in that year. Both measures have the exact same trend with the last month reported measure always being a bit higher than the number of months missing method, at least until the data change in 2018 that renders my method unreliable. -
-The annual number of agencies that reported data in that year. -

(\#fig:countyAnyMonthReported)The annual number of agencies that reported data in that year.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{10_ucr_county_files/figure-latex/countyAnyMonthReported-1} + +} + +\caption{The annual number of agencies that reported data in that year.}(\#fig:countyAnyMonthReported) +\end{figure} For the remainder of this chapter we will treat the last month reported variable as our measure of how many months an agency reports data. I believe that pre-2018 this is not as good a measure at the number of months missing, but it has the benefit of consistency post-2017. So keep in mind that the true number of agencies reporting fewer than 12 months of data is a bit larger than what it seems when using this measure. -
-The share of the population in each state covered by an agency reporting 12 months of data based on their last month reported being December, 2023. -

(\#fig:stateMap2022)The share of the population in each state covered by an agency reporting 12 months of data based on their last month reported being December, 2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{10_ucr_county_files/figure-latex/stateMap2022-1} + +} + +\caption{The share of the population in each state covered by an agency reporting 12 months of data based on their last month reported being December, 2023.}(\#fig:stateMap2022) +\end{figure} + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{10_ucr_county_files/figure-latex/countyMap2022-1} + +} + +\caption{The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2023.}(\#fig:countyMap2022) +\end{figure} + + +\begin{figure} +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{10_ucr_county_files/figure-latex/countyMap2010-1} -
-The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2023. -

(\#fig:countyMap2022)The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2023.

-
+} +\caption{The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2010.}(\#fig:countyMap2010) +\end{figure} -
-The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2010. -

(\#fig:countyMap2010)The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2010.

-
+\begin{figure} -
-The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2000. -

(\#fig:countyMap2000)The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2000.

-
+{\centering \includegraphics[width=1\linewidth,height=1\textheight]{10_ucr_county_files/figure-latex/countyMap2000-1} + +} + +\caption{The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2000.}(\#fig:countyMap2000) +\end{figure} ## Current imputation practices @@ -173,10 +141,14 @@ When an agency reports 3-11 months, those months of data are multiplied by 12/nu Finally, for agencies that reported all 12 months there is nothing missing so it just uses the data as it is. -
-The imputation procedure for missing data based on the number of months missing. -

(\#fig:countyImputation)The imputation procedure for missing data based on the number of months missing.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{images/segments_flowchart} + +} + +\caption{The imputation procedure for missing data based on the number of months missing.}(\#fig:countyImputation) +\end{figure} ### 1-9 months missing @@ -188,310 +160,127 @@ Starting with Table \@ref(tab:CountyPhillyMurders), we will see the change in th If each month had the same number of crimes we would expect each month to account for 8.33% of the year's total. That is not what we are seeing in Philadelphia for murders as the percentages range from 5.13% in both January and April to 12.25% in December. This means that replacing these months will not give us an accurate count of crimes as crime is not distributed evenly across months. Indeed, as seen in column 5, on average, the annual sum of murders when imputing a single month is 1.85% off from the real value. When imputing the worst (as far as its effect on results) months you can report murder as either 4.27% lower than it is or 3.5% higher than it is. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:CountyPhillyMurders)The imputed number of murders in Philadelphia in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing.
Month Murders That Month Actual Annual Murders Imputed Annual Murders Percent Change
January 46 (8.95%) 514 511 -0.58
February 38 (7.39%) 514 519 +0.97
March 40 (7.78%) 514 517 +0.58
April 34 (6.61%) 514 524 +1.95
May 56 (10.89%) 514 500 -2.72
June 52 (10.12%) 514 504 -1.95
July 55 (10.70%) 514 501 -2.53
August 46 (8.95%) 514 511 -0.58
September 40 (7.78%) 514 517 +0.58
October 42 (8.17%) 514 515 +0.19
November 25 (4.86%) 514 533 +3.70
December 40 (7.78%) 514 517 +0.58
+ +\begin{longtable}[t]{l|r|r|r|r} +\caption{(\#tab:CountyPhillyMurders)The imputed number of murders in Philadelphia in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing.}\\ +\hline +Month & Murders That Month & Actual Annual Murders & Imputed Annual Murders & Percent Change\\ +\hline +\endfirsthead +\caption[]{(\#tab:CountyPhillyMurders)The imputed number of murders in Philadelphia in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing. \textit{(continued)}}\\ +\hline +Month & Murders That Month & Actual Annual Murders & Imputed Annual Murders & Percent Change\\ +\hline +\endhead +January & 46 (8.95\%) & 514 & 511 & -0.58\\ +\hline +February & 38 (7.39\%) & 514 & 519 & +0.97\\ +\hline +March & 40 (7.78\%) & 514 & 517 & +0.58\\ +\hline +April & 34 (6.61\%) & 514 & 524 & +1.95\\ +\hline +May & 56 (10.89\%) & 514 & 500 & -2.72\\ +\hline +June & 52 (10.12\%) & 514 & 504 & -1.95\\ +\hline +July & 55 (10.70\%) & 514 & 501 & -2.53\\ +\hline +August & 46 (8.95\%) & 514 & 511 & -0.58\\ +\hline +September & 40 (7.78\%) & 514 & 517 & +0.58\\ +\hline +October & 42 (8.17\%) & 514 & 515 & +0.19\\ +\hline +November & 25 (4.86\%) & 514 & 533 & +3.70\\ +\hline +December & 40 (7.78\%) & 514 & 517 & +0.58\\ +\hline +\end{longtable} Part of the reason for the percent difference for murders when replacing a month found above is that there was high variation in the number of murders per month with some months having more than double the number as other months. We will look at what happens when crimes are far more evenly distributed across months in Table \@ref(tab:countyPhillyThefts). This table replicates Table \@ref(tab:CountyPhillyMurders) but uses thefts in Philadelphia in 2022 instead of murders. Here the monthly share of thefts ranged only from 6.85% to 9.16% so month-to-month variation is not very large. Now the percent change never increases above an absolute value of 1.62 and changes by an average of 0.77%. In cases like this, the imputation method is less of a problem. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyPhillyThefts)The imputed number of thefts in Philadelphia in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing.
Month Thefts That Month Actual Annual Thefts Imputed Annual Thefts Percent Change
January 3,080 (6.41%) 48,067 49,077 +2.10
February 2,929 (6.09%) 48,067 49,241 +2.44
March 3,546 (7.38%) 48,067 48,568 +1.04
April 3,619 (7.53%) 48,067 48,489 +0.88
May 4,063 (8.45%) 48,067 48,004 -0.13
June 4,425 (9.21%) 48,067 47,609 -0.95
July 4,566 (9.50%) 48,067 47,456 -1.27
August 4,798 (9.98%) 48,067 47,203 -1.80
September 4,477 (9.31%) 48,067 47,553 -1.07
October 4,618 (9.61%) 48,067 47,399 -1.39
November 4,022 (8.37%) 48,067 48,049 -0.04
December 3,924 (8.16%) 48,067 48,156 +0.19
+ +\begin{longtable}[t]{l|r|r|r|r} +\caption{(\#tab:countyPhillyThefts)The imputed number of thefts in Philadelphia in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing.}\\ +\hline +Month & Thefts That Month & Actual Annual Thefts & Imputed Annual Thefts & Percent Change\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyPhillyThefts)The imputed number of thefts in Philadelphia in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing. \textit{(continued)}}\\ +\hline +Month & Thefts That Month & Actual Annual Thefts & Imputed Annual Thefts & Percent Change\\ +\hline +\endhead +January & 3,080 (6.41\%) & 48,067 & 49,077 & +2.10\\ +\hline +February & 2,929 (6.09\%) & 48,067 & 49,241 & +2.44\\ +\hline +March & 3,546 (7.38\%) & 48,067 & 48,568 & +1.04\\ +\hline +April & 3,619 (7.53\%) & 48,067 & 48,489 & +0.88\\ +\hline +May & 4,063 (8.45\%) & 48,067 & 48,004 & -0.13\\ +\hline +June & 4,425 (9.21\%) & 48,067 & 47,609 & -0.95\\ +\hline +July & 4,566 (9.50\%) & 48,067 & 47,456 & -1.27\\ +\hline +August & 4,798 (9.98\%) & 48,067 & 47,203 & -1.80\\ +\hline +September & 4,477 (9.31\%) & 48,067 & 47,553 & -1.07\\ +\hline +October & 4,618 (9.61\%) & 48,067 & 47,399 & -1.39\\ +\hline +November & 4,022 (8.37\%) & 48,067 & 48,049 & -0.04\\ +\hline +December & 3,924 (8.16\%) & 48,067 & 48,156 & +0.19\\ +\hline +\end{longtable} Given that the imputation method is largely dependent on consistency across months, what happens when crime is very rare? Table \@ref(tab:countyDanvilleVehicle) shows what happens when replacing a single month for motor vehicle thefts in Danville, California, a small town which had 22 of these thefts in 2022. While possible to still have an even distribution of crimes over months, this is less likely when it comes to rare events. Here, having so few motor vehicle thefts means that small changes in monthly crimes can have an outsize effect. The average absolute value percent change now is 7.3% and this ranges from a -15.68% difference to a +9.1% difference from the real annual count. This means that having even a single month missing can vastly overcount or undercount the real values. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyDanvilleVehicle)The imputed number of motor vehicle thefts in Danville, California, in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing.
Month Vehicle Thefts That Month Actual Annual Vehicle Thefts Imputed Annual Vehicle Thefts Percent Change
January 2 (7.41%) 27 27 +0.00
February 2 (7.41%) 27 27 +0.00
March 1 (3.70%) 27 28 +3.70
April 4 (14.81%) 27 25 -7.41
May 6 (22.22%) 27 23 -14.81
June 0 (0.00%) 27 29 +7.41
July 2 (7.41%) 27 27 +0.00
August 1 (3.70%) 27 28 +3.70
September 1 (3.70%) 27 28 +3.70
October 3 (11.11%) 27 26 -3.70
November 3 (11.11%) 27 26 -3.70
December 2 (7.41%) 27 27 +0.00
+ +\begin{longtable}[t]{l|r|r|r|r} +\caption{(\#tab:countyDanvilleVehicle)The imputed number of motor vehicle thefts in Danville, California, in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing.}\\ +\hline +Month & Vehicle Thefts That Month & Actual Annual Vehicle Thefts & Imputed Annual Vehicle Thefts & Percent Change\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyDanvilleVehicle)The imputed number of motor vehicle thefts in Danville, California, in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing. \textit{(continued)}}\\ +\hline +Month & Vehicle Thefts That Month & Actual Annual Vehicle Thefts & Imputed Annual Vehicle Thefts & Percent Change\\ +\hline +\endhead +January & 2 (7.41\%) & 27 & 27 & +0.00\\ +\hline +February & 2 (7.41\%) & 27 & 27 & +0.00\\ +\hline +March & 1 (3.70\%) & 27 & 28 & +3.70\\ +\hline +April & 4 (14.81\%) & 27 & 25 & -7.41\\ +\hline +May & 6 (22.22\%) & 27 & 23 & -14.81\\ +\hline +June & 0 (0.00\%) & 27 & 29 & +7.41\\ +\hline +July & 2 (7.41\%) & 27 & 27 & +0.00\\ +\hline +August & 1 (3.70\%) & 27 & 28 & +3.70\\ +\hline +September & 1 (3.70\%) & 27 & 28 & +3.70\\ +\hline +October & 3 (11.11\%) & 27 & 26 & -3.70\\ +\hline +November & 3 (11.11\%) & 27 & 26 & -3.70\\ +\hline +December & 2 (7.41\%) & 27 & 27 & +0.00\\ +\hline +\end{longtable} @@ -503,266 +292,113 @@ For each number of months reported the table shows the actual annual murder (whi As might be expected, as the number of months missing increases the quality of the imputation decreases. The minimum is further and further below the actual value while the maximum is further and further above the actual value. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyPhillyMurderMonthsMissing)A simulation showing how the imputed values of murders in Philadelphia in 2022 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run removing and imputing those months of data.
# of Months Missing Mean Imputed Value Median Imputed Value Minimum Imputed Value Maximum Imputed Value
No Missing Data 514.00 514.00 514.00 514.00
1 month 514.08 517.09 499.64 533.45
2 514.12 513.60 483.60 546.00
3 513.81 513.33 468.00 556.00
4 514.15 513.00 457.50 565.50
5 513.95 514.29 444.00 577.71
6 514.05 514.00 434.00 594.00
7 514.45 513.60 424.80 612.00
8 513.85 516.00 411.00 627.00
9 513.02 512.00 388.00 652.00
+ +\begin{longtable}[t]{l|r|r|r|r} +\caption{(\#tab:countyPhillyMurderMonthsMissing)A simulation showing how the imputed values of murders in Philadelphia in 2022 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run removing and imputing those months of data.}\\ +\hline +\# of Months Missing & Mean Imputed Value & Median Imputed Value & Minimum Imputed Value & Maximum Imputed Value\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyPhillyMurderMonthsMissing)A simulation showing how the imputed values of murders in Philadelphia in 2022 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run removing and imputing those months of data. \textit{(continued)}}\\ +\hline +\# of Months Missing & Mean Imputed Value & Median Imputed Value & Minimum Imputed Value & Maximum Imputed Value\\ +\hline +\endhead +No Missing Data & 514.00 & 514.00 & 514.00 & 514.00\\ +\hline +1 month & 514.08 & 517.09 & 499.64 & 533.45\\ +\hline +2 & 514.12 & 513.60 & 483.60 & 546.00\\ +\hline +3 & 513.81 & 513.33 & 468.00 & 556.00\\ +\hline +4 & 514.15 & 513.00 & 457.50 & 565.50\\ +\hline +5 & 513.95 & 514.29 & 444.00 & 577.71\\ +\hline +6 & 514.05 & 514.00 & 434.00 & 594.00\\ +\hline +7 & 514.45 & 513.60 & 424.80 & 612.00\\ +\hline +8 & 513.85 & 516.00 & 411.00 & 627.00\\ +\hline +9 & 513.02 & 512.00 & 388.00 & 652.00\\ +\hline +\end{longtable} This problem is even more pronounced when looking at agencies with fewer crimes and less evenly distributed crimes. Table \@ref(tab:countyDanvilleBurglaryMonthsMissing) repeats the above table but now looks at motor vehicle thefts in Danville, California. By the time 5 months are missing, the minimum value is nearly half of the actual value while the maximum value is a little under 50% larger than the actual value. By 9 months missing, possible imputed values range from 0% of the actual value to over twice as large as the actual value. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyDanvilleBurglaryMonthsMissing)A simulation showing how the imputed values of motor vehicle thefts in Danville, California, in 2022 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run for removing and imputing those months of data.
# of Months Missing Mean Imputed Value Median Imputed Value Minimum Imputed Value Maximum Imputed Value
No Missing Data 27.00 27.00 27.00 27.00
1 month 26.99 27.27 22.91 29.45
2 27.01 27.60 20.40 31.20
3 26.98 28.00 18.67 33.33
4 26.96 27.00 16.50 36.00
5 26.89 27.43 15.43 37.71
6 26.94 26.00 14.00 40.00
7 26.96 26.40 12.00 43.20
8 27.01 27.00 9.00 48.00
9 26.93 24.00 8.00 52.00
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyMurderMonthsMissing)A simulation showing how the imputed values of murder in Danville, California, in 2019 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run for removing and imputing those months of data.
# of Months Missing Mean Imputed Value Median Imputed Value Minimum Imputed Value Maximum Imputed Value
No Missing Data 1.00 1.00 1 1.00
1 month 1.00 1.09 0 1.09
2 1.00 1.20 0 1.20
3 1.01 1.33 0 1.33
4 1.01 1.50 0 1.50
5 1.01 1.71 0 1.71
6 1.01 2.00 0 2.00
7 1.00 0.00 0 2.40
8 1.01 0.00 0 3.00
9 1.01 0.00 0 4.00
+ +\begin{longtable}[t]{l|r|r|r|r} +\caption{(\#tab:countyDanvilleBurglaryMonthsMissing)A simulation showing how the imputed values of motor vehicle thefts in Danville, California, in 2022 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run for removing and imputing those months of data.}\\ +\hline +\# of Months Missing & Mean Imputed Value & Median Imputed Value & Minimum Imputed Value & Maximum Imputed Value\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyDanvilleBurglaryMonthsMissing)A simulation showing how the imputed values of motor vehicle thefts in Danville, California, in 2022 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run for removing and imputing those months of data. \textit{(continued)}}\\ +\hline +\# of Months Missing & Mean Imputed Value & Median Imputed Value & Minimum Imputed Value & Maximum Imputed Value\\ +\hline +\endhead +No Missing Data & 27.00 & 27.00 & 27.00 & 27.00\\ +\hline +1 month & 26.99 & 27.27 & 22.91 & 29.45\\ +\hline +2 & 27.01 & 27.60 & 20.40 & 31.20\\ +\hline +3 & 26.98 & 28.00 & 18.67 & 33.33\\ +\hline +4 & 26.96 & 27.00 & 16.50 & 36.00\\ +\hline +5 & 26.89 & 27.43 & 15.43 & 37.71\\ +\hline +6 & 26.94 & 26.00 & 14.00 & 40.00\\ +\hline +7 & 26.96 & 26.40 & 12.00 & 43.20\\ +\hline +8 & 27.01 & 27.00 & 9.00 & 48.00\\ +\hline +9 & 26.93 & 24.00 & 8.00 & 52.00\\ +\hline +\end{longtable} + + + + +\begin{longtable}[t]{l|r|r|r|r} +\caption{(\#tab:countyMurderMonthsMissing)A simulation showing how the imputed values of murder in Danville, California, in 2019 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run for removing and imputing those months of data.}\\ +\hline +\# of Months Missing & Mean Imputed Value & Median Imputed Value & Minimum Imputed Value & Maximum Imputed Value\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyMurderMonthsMissing)A simulation showing how the imputed values of murder in Danville, California, in 2019 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run for removing and imputing those months of data. \textit{(continued)}}\\ +\hline +\# of Months Missing & Mean Imputed Value & Median Imputed Value & Minimum Imputed Value & Maximum Imputed Value\\ +\hline +\endhead +No Missing Data & 1.00 & 1.00 & 1 & 1.00\\ +\hline +1 month & 1.00 & 1.09 & 0 & 1.09\\ +\hline +2 & 1.00 & 1.20 & 0 & 1.20\\ +\hline +3 & 1.01 & 1.33 & 0 & 1.33\\ +\hline +4 & 1.01 & 1.50 & 0 & 1.50\\ +\hline +5 & 1.01 & 1.71 & 0 & 1.71\\ +\hline +6 & 1.01 & 2.00 & 0 & 2.00\\ +\hline +7 & 1.00 & 0.00 & 0 & 2.40\\ +\hline +8 & 1.01 & 0.00 & 0 & 3.00\\ +\hline +9 & 1.01 & 0.00 & 0 & 4.00\\ +\hline +\end{longtable} @@ -788,366 +424,142 @@ Table \@ref(tab:countyPopulationGroupStatsNational) shows these values for all a [^ucr_county-11]: The agency-level UCR data actually has more population groups than this list, but NACJD has grouped some together. Given that some states may have few (or no) agencies in a population group, combining more groups together does alleviate the problem of having no comparison cities but at the tradeoff of making the comparison less similar to the given agency. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyPopulationGroupStatsNational)The mean, median, minimum, and maximum agency-level murder count nationwide for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.
Population Group Mean Murder Median Murder 90th Percentile Murder Minimum Murder Max Murder
City Under 2,500 0 0 0 0 10
City 2,500-9,999 0 0 1 0 9
City 10,000-24,999 0 0 2 0 14
City 25,000-49,999 1 0 4 0 31
City 50,000-99,999 2 1 7 0 47
City 100,000-249,999 9 6 23 0 122
City 250,000+ 86 40 237 2 499
MSA Counties and MSA State Police 1 0 4 0 122
Non-MSA Counties and Non-MSA State Police 0 0 1 0 46
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyPopulationGroupStats)The mean, median, minimum, 90th percentile, and maximum agency-level murder count nationwide for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.
Population Group Mean Murder Median Murder 90th Percentile Murder Minimum Murder Max Murder
City Under 2,500 0 0 0 0 10
City 2,500-9,999 0 0 1 0 9
City 10,000-24,999 0 0 2 0 14
City 25,000-49,999 1 0 4 0 31
City 50,000-99,999 2 1 7 0 47
City 100,000-249,999 9 6 23 0 122
City 250,000+ 86 40 237 2 499
MSA Counties and MSA State Police 1 0 4 0 122
Non-MSA Counties and Non-MSA State Police 0 0 1 0 46
+ +\begin{longtable}[t]{l|r|r|r|r|l} +\caption{(\#tab:countyPopulationGroupStatsNational)The mean, median, minimum, and maximum agency-level murder count nationwide for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyPopulationGroupStatsNational)The mean, median, minimum, and maximum agency-level murder count nationwide for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December. \textit{(continued)}}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endhead +City Under 2,500 & 0 & 0 & 0 & 0 & 10\\ +\hline +City 2,500-9,999 & 0 & 0 & 1 & 0 & 9\\ +\hline +City 10,000-24,999 & 0 & 0 & 2 & 0 & 14\\ +\hline +City 25,000-49,999 & 1 & 0 & 4 & 0 & 31\\ +\hline +City 50,000-99,999 & 2 & 1 & 7 & 0 & 47\\ +\hline +City 100,000-249,999 & 9 & 6 & 23 & 0 & 122\\ +\hline +City 250,000+ & 86 & 40 & 237 & 2 & 499\\ +\hline +MSA Counties and MSA State Police & 1 & 0 & 4 & 0 & 122\\ +\hline +Non-MSA Counties and Non-MSA State Police & 0 & 0 & 1 & 0 & 46\\ +\hline +\end{longtable} + + + + +\begin{longtable}[t]{l|r|r|r|r|l} +\caption{(\#tab:countyPopulationGroupStats)The mean, median, minimum, 90th percentile, and maximum agency-level murder count nationwide for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyPopulationGroupStats)The mean, median, minimum, 90th percentile, and maximum agency-level murder count nationwide for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December. \textit{(continued)}}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endhead +City Under 2,500 & 0 & 0 & 0 & 0 & 10\\ +\hline +City 2,500-9,999 & 0 & 0 & 1 & 0 & 9\\ +\hline +City 10,000-24,999 & 0 & 0 & 2 & 0 & 14\\ +\hline +City 25,000-49,999 & 1 & 0 & 4 & 0 & 31\\ +\hline +City 50,000-99,999 & 2 & 1 & 7 & 0 & 47\\ +\hline +City 100,000-249,999 & 9 & 6 & 23 & 0 & 122\\ +\hline +City 250,000+ & 86 & 40 & 237 & 2 & 499\\ +\hline +MSA Counties and MSA State Police & 1 & 0 & 4 & 0 & 122\\ +\hline +Non-MSA Counties and Non-MSA State Police & 0 & 0 & 1 & 0 & 46\\ +\hline +\end{longtable} Since the actual imputation process looks only at agencies in the same state, we will look at two example states - Texas and Maine - and see how trends differ from nationally. These states are chosen as Texas is a very large (both in population and in number of jurisdictions) state with some areas of high crime while Maine is a small, more rural state with very low crime. Table \@ref(tab:countyPopulationGroupStatsTexas) shows results in Texas. Here, the findings are very similar to that of Table \@ref(tab:countyPopulationGroupStatsNational). While the numbers are different, and the maximum value is substantially smaller than using all agencies in the country, the basic findings of a wide range of values - especially at larger population groups - is the same. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyPopulationGroupStatsTexas)The mean, median, minimum, 90th percentile, and maximum agency-level murder count in Texas for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.
Population Group Mean Murder Median Murder 90th Percentile Murder Minimum Murder Max Murder
City Under 2,500 0 0 0 0 1
City 2,500-9,999 0 0 1 0 4
City 10,000-24,999 0 0 2 0 4
City 25,000-49,999 1 1 4 0 7
City 50,000-99,999 2 1 6 0 9
City 100,000-249,999 6 6 12 0 17
City 250,000+ 84 27 234 3 343
MSA Counties and MSA State Police 1 0 3 0 121
Non-MSA Counties and Non-MSA State Police 0 0 1 0 9
+ +\begin{longtable}[t]{l|r|r|r|r|l} +\caption{(\#tab:countyPopulationGroupStatsTexas)The mean, median, minimum, 90th percentile, and maximum agency-level murder count in Texas for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyPopulationGroupStatsTexas)The mean, median, minimum, 90th percentile, and maximum agency-level murder count in Texas for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December. \textit{(continued)}}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endhead +City Under 2,500 & 0 & 0 & 0 & 0 & 1\\ +\hline +City 2,500-9,999 & 0 & 0 & 1 & 0 & 4\\ +\hline +City 10,000-24,999 & 0 & 0 & 2 & 0 & 4\\ +\hline +City 25,000-49,999 & 1 & 1 & 4 & 0 & 7\\ +\hline +City 50,000-99,999 & 2 & 1 & 6 & 0 & 9\\ +\hline +City 100,000-249,999 & 6 & 6 & 12 & 0 & 17\\ +\hline +City 250,000+ & 84 & 27 & 234 & 3 & 343\\ +\hline +MSA Counties and MSA State Police & 1 & 0 & 3 & 0 & 121\\ +\hline +Non-MSA Counties and Non-MSA State Police & 0 & 0 & 1 & 0 & 9\\ +\hline +\end{longtable} Now we will look at data from Maine, as shown in Table \@ref(tab:countyPopulationGroupStatsMaine). Here, results are much better: there is a narrow range in values meaning that the imputation would be very similar to the real values. This is driven mainly by Maine being a tiny state, with only one city larger than 50,000 people (Portland) and Maine being an extremely safe state so most places have zero murders+gun-assaults. In cases like this, where both crime and population size are consistent across the state (which is generally caused by everywhere having low crime), this imputation process can work well. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyPopulationGroupStatsMaine)The mean, median, minimum, 90th percentile, and maximum agency-level murder count in Maine for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.
Population Group Mean Murder Median Murder 90th Percentile Murder Minimum Murder Max Murder
City Under 2,500 0 0 0 0 1
City 2,500-9,999 0 0 1 0 2
City 10,000-24,999 0 0 1 0 3
City 25,000-49,999 7 1 16 0 20
City 50,000-99,999 2 2 2 2 2
City 100,000-249,999 - - - - -
City 250,000+ - - - - -
MSA Counties and MSA State Police 0 0 0 0 0
Non-MSA Counties and Non-MSA State Police 1 0 0 0 18
+ +\begin{longtable}[t]{l|r|r|r|r|r} +\caption{(\#tab:countyPopulationGroupStatsMaine)The mean, median, minimum, 90th percentile, and maximum agency-level murder count in Maine for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyPopulationGroupStatsMaine)The mean, median, minimum, 90th percentile, and maximum agency-level murder count in Maine for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December. \textit{(continued)}}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endhead +City Under 2,500 & 0 & 0 & 0 & 0 & 1\\ +\hline +City 2,500-9,999 & 0 & 0 & 1 & 0 & 2\\ +\hline +City 10,000-24,999 & 0 & 0 & 1 & 0 & 3\\ +\hline +City 25,000-49,999 & 7 & 1 & 16 & 0 & 20\\ +\hline +City 50,000-99,999 & 2 & 2 & 2 & 2 & 2\\ +\hline +City 100,000-249,999 & - & - & - & - & -\\ +\hline +City 250,000+ & - & - & - & - & -\\ +\hline +MSA Counties and MSA State Police & 0 & 0 & 0 & 0 & 0\\ +\hline +Non-MSA Counties and Non-MSA State Police & 1 & 0 & 0 & 0 & 18\\ +\hline +\end{longtable} diff --git a/docs/11_nibrs_general.md b/docs/11_nibrs_general.md index b4bf800..29d490b 100644 --- a/docs/11_nibrs_general.md +++ b/docs/11_nibrs_general.md @@ -13,10 +13,14 @@ NIBRS data provides detailed information on every crime reported to the police, However, there is a major limitation to this data: most agencies do not use it. [According to the FBI](https://www.fbi.gov/news/pressrel/press-releases/fbi-releases-2019-nibrs-crime-data) only about 8,500 police agencies, covering about 45% of the US population, reported NIBRS data in 2019 (the latest year currently available). This is fewer than half of the about 18,000 police agencies in the United States. This is an even larger problem than it seems as the agencies that do report - especially in earlier years of the data - are disproportionately small and rural. So we are missing out of data from most major cities. A number of states do not have any agencies reporting, making this data relatively biased at least in terms of geography and city size. **Even so, the FBI has said that they are moving entirely to NIBRS data starting in 2021, and will no longer even collect UCR data.** While NIBRS can be converted to UCR data, meaning we can have consistent statistics over time, for agencies that do not report to NIBRS, we have no information on their crimes. In effect, unless the majority of agencies suddenly switch to NIBRS - which, given that the high level of detail relative to UCR data makes moving to NIBRS a costly and timely switch - we will be flying blind for most crime in the country. -
-The number of agencies reporting data for each of the NIBRS Segments, 1991-2023. -

(\#fig:nibrsSegmentsAgencies)The number of agencies reporting data for each of the NIBRS Segments, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{11_nibrs_general_files/figure-latex/nibrsSegmentsAgencies-1} + +} + +\caption{The number of agencies reporting data for each of the NIBRS Segments, 1991-2023.}(\#fig:nibrsSegmentsAgencies) +\end{figure} ## Problems with NIBRS @@ -44,35 +48,55 @@ Another way to look at reporting is comparing it to reporting to UCR. Figure \@r Since the number of agencies in a state is partially just a factor of population, Figure \@ref(fig:agenciesReportingMapPercent) shows each state as a percent of agencies in that state that report to NIBRS that also reported to the UCR Offenses Known and Clearances by Arrest (the "crime" dataset) in 2019.^[This is the UCR dataset which has the highest reporting rate.] Not all agencies in the US reported to UCR in 2019 - and a small number reported to NIBRS but not UCR in 2019 - but this is a fairly good measure of reporting rates. Here the story looks a bit different than in the previous figure. Now we can tell that among north-western states and states along the Appalachian Mountains, nearly all agencies report. In total, 18 states have 90% or more of agencies that reported to UCR in 2019 also reporting to NIBRS. Thirteen agencies have fewer than 10% of agencies reporting to NIBRS that also reported to UCR, with 5 of these having 0% of agencies reporting. The remaining states average about 56% of agencies reporting. So when using NIBRS data, keep in mind that you have very good coverage of certain states, and very poor coverage of other states. And the low - or zero - reporting states are systematically high population states. -
-The annual number of police agencies that report data to NIBRS. -

(\#fig:nibrsAnnualNumberAgencies)The annual number of police agencies that report data to NIBRS.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{11_nibrs_general_files/figure-latex/nibrsAnnualNumberAgencies-1} + +} + +\caption{The annual number of police agencies that report data to NIBRS.}(\#fig:nibrsAnnualNumberAgencies) +\end{figure} + + + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{11_nibrs_general_files/figure-latex/nibrsAnnualPercentPopulation-1} +} +\caption{The annual percent of the United States population that is covered by an agency reporting data to NIBRS.}(\#fig:nibrsAnnualPercentPopulation) +\end{figure} -
-The annual percent of the United States population that is covered by an agency reporting data to NIBRS. -

(\#fig:nibrsAnnualPercentPopulation)The annual percent of the United States population that is covered by an agency reporting data to NIBRS.

-
+\begin{figure} +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{11_nibrs_general_files/figure-latex/nibrsStateParticipation2000-1} -
-The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2000 -

(\#fig:nibrsStateParticipation2000)The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2000

-
+} +\caption{The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2000}(\#fig:nibrsStateParticipation2000) +\end{figure} -
-The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2010 -

(\#fig:nibrsStateParticipation2010)The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2010

-
-
-The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2023 (using 2022 ACS 5-year Census data) -

(\#fig:nibrsStateParticipation2022)The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2023 (using 2022 ACS 5-year Census data)

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{11_nibrs_general_files/figure-latex/nibrsStateParticipation2010-1} + +} + +\caption{The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2010}(\#fig:nibrsStateParticipation2010) +\end{figure} + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{11_nibrs_general_files/figure-latex/nibrsStateParticipation2022-1} + +} + +\caption{The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2023 (using 2022 ACS 5-year Census data)}(\#fig:nibrsStateParticipation2022) +\end{figure} ## Crimes included in NIBRS @@ -204,10 +228,14 @@ Negative numbers in SRS data are because when a crime is reported and then later NIBRS data is often discussed - and is used - as if it were a single file with all of this information available. But it actually comes as multiple different files that each provide different information about a crime incident, including at different levels of analysis so users must clean each segment before merging them together. In this section we will discuss each of the segments and how they are related to each other. First, keep in mind that NIBRS is at its core an incident-level dataset (hence the "Incident-Based" part of its name). Everything that we have stems from the incident, even though we can get more detailed and look at, for example, individual victims in an incident or even offenses within an incident. Figure \@ref(fig:segmentFlowchart) shows the seven main segments and how they relate to each other. There are also three segments called "window segments" - there is one for arrestees, one of exceptional clearances (i.e. police could have made an arrest but did not for some reason but still consider the case closed), and one for property - that do not have an associated segment with them, they only have the information available in the given "window" segment. We will talk about window segments more in Section \@ref(window) below. -
-The association of each segment file in the NIBRS dataset. -

(\#fig:segmentFlowchart)The association of each segment file in the NIBRS dataset.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{images/nibrsSegments} + +} + +\caption{The association of each segment file in the NIBRS dataset.}(\#fig:segmentFlowchart) +\end{figure} The first two boxes in Figure \@ref(fig:segmentFlowchart), colored in orange, are not part of NIBRS but are part of the data generating process. First, obviously, a crime has to occur. The police then have to learn about the crime. This can happen in two ways. First, they can discover it themselves while on patrol. This is common in crimes such as drug possession or sale as well as any crime that occurs outdoors, which is largely where police are able to observe behavior. The second way is that the victim or witness to a crime reports it. So if they call the police to report a crime, the police learn about it from that call. We do not actually know from the data how the police learned of a crime but it is important to think about this data generating process when using the data. Alongside the crime being reported (or discovered) to the police, agencies must then report the crime to NIBRS. All crimes that occur in that agency's jurisdiction *should* be reported, but that is not always the case. Since reporting is voluntary (at least nationally, though some states do require agencies to report data), agencies are free to report as many or as few crimes as they wish. This often occurs when agencies report only parts of the year, excluding certain months, so you should ensure that the agency reported data for each month you are interested in. diff --git a/docs/12_nibrs_administrative.md b/docs/12_nibrs_administrative.md index 38554ab..8c89edf 100644 --- a/docs/12_nibrs_administrative.md +++ b/docs/12_nibrs_administrative.md @@ -12,26 +12,38 @@ An important variable, especially for policy analyses, is when the crime happene Figure \@ref(fig:administrativeIncidentMonth) shows the percent of incidents in the 2022 for each month. Past research has found that crimes are lowest when it is cold and highest when it is hot^[Summer also comes with many teens and young adults out of school so have more free time to offend or be victimized, so the weather is only part of the cause.]. Consistent with previous research, we find that crime rates are lowest in February, steadily increasing through the warmer months before peaking in July and August, then decreasing as temperatures cool. These seasonal patterns are important in understanding how environmental factors, such as weather, influence criminal activity, and they can help law enforcement agencies plan how many officers they want on patrol since they can determine which times of the year have the highest expected crime. -
-The percent of crime incidents in 2022 NIBRS by the month of incident. -

(\#fig:administrativeIncidentMonth)The percent of crime incidents in 2022 NIBRS by the month of incident.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeIncidentMonth-1} + +} + +\caption{The percent of crime incidents in 2022 NIBRS by the month of incident.}(\#fig:administrativeIncidentMonth) +\end{figure} We can also look at the days of the month to see if there is any variation there. Figure \@ref(fig:administrativeMonthDayIncident) shows the percent of incidents on each day of the month. There's not much variation other than a few days. The 29th and 30th day of the month have fewer incidents than average, and the 31st day has by far the fewest incidents These findings are reasonable since not all months have more than 28 days so by definition there are fewer 31st (and 29th, and 30th) days of the month for crimes to occur on. The most common day of the month is the 1st which accounts for 3.95% of all incidents. In this data the agencies must report a date, even if they do not know the exact date; there is no option to put "unknown date". When agencies are unsure of the exact date of a crime, they appear to default to entering the 1st of the month as a placeholder. This practice introduces a potential source of error, and researchers should be cautious when analyzing trends that rely on specific dates, as the 1st of the month may disproportionately represent incidents with unknown dates. -
-The percent of incidents that occur using the day of the incident, even if the incidents was not reported that day, each day of the month for all agencies reporting to NIBRS in 2022. -

(\#fig:administrativeMonthDayIncident)The percent of incidents that occur using the day of the incident, even if the incidents was not reported that day, each day of the month for all agencies reporting to NIBRS in 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeMonthDayIncident-1} + +} + +\caption{The percent of incidents that occur using the day of the incident, even if the incidents was not reported that day, each day of the month for all agencies reporting to NIBRS in 2022.}(\#fig:administrativeMonthDayIncident) +\end{figure} The above graph showed the days of the month where the incident was said to occur. There is also a variable that says if the date included was the incident date or the date the crime was reported to the police. Figure \@ref(fig:administrativeMonthDayReport) replicates Figure \@ref(fig:administrativeMonthDayIncident) but now shows only report dates rather than incident date. Here too we see the same pattern of the 1st of the month having a disproportionate share of data, again suggesting that it is a placeholder for "unknown" dates. -
-The percent of incidents that are reported (the day of the report, even if not the day of the incident) each day of the month for all agencies reporting to NIBRS in 2022. -

(\#fig:administrativeMonthDayReport)The percent of incidents that are reported (the day of the report, even if not the day of the incident) each day of the month for all agencies reporting to NIBRS in 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeMonthDayReport-1} + +} + +\caption{The percent of incidents that are reported (the day of the report, even if not the day of the incident) each day of the month for all agencies reporting to NIBRS in 2022.}(\#fig:administrativeMonthDayReport) +\end{figure} ## Hour of incident @@ -41,267 +53,109 @@ Figure \@ref(fig:administrativeHours) shows the distribution of incidents that o The substantial spike at midnight is unlikely to reflect actual crime patterns, as the number of incidents during this hour is more than triple that of neighboring hours. The noon hour is about 50% larger than in the neighboring hours, so is a sizable increase though continues the trend of increasing crime during the day and is a far smaller increase than at midnight. This suggests that, similar to the "1st of the month" issue, officers may be using midnight and (less so) noon as a placeholder when the exact time of the crime is unknown. Researchers should exclude the midnight and noon hours from time-sensitive analyses to avoid skewed results. -
-The percent of crimes that are reported each hour for all agencies reporting to NIBRS in 2022. -

(\#fig:administrativeHours)The percent of crimes that are reported each hour for all agencies reporting to NIBRS in 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeHours-1} + +} + +\caption{The percent of crimes that are reported each hour for all agencies reporting to NIBRS in 2022.}(\#fig:administrativeHours) +\end{figure} To look at these trends over time, Figure \@ref(fig:nibrsAdministrativeHours) shows the percent of incidents each year that are reported at noon, at midnight, and where the hour is unknown. The noon hour has slowly and steadily become more common, moving from about 4% in 1991 to 6% in 2022. The midnight hour has seen more fluctuations, increasing to 9% by 1993 before steadily decreasing until a large and sustained spike to 9% in 2017. The spike was caused by the end of data being reported as having an unknown hour. While the share of incidents with an unknown hour has also fluctuated - from around 2.5% to 5% of incidents depending on the year - that dropped to 0% in 2017, as unknown hours stopped being reported after 2016. -
-Annual percent of incidents that occurred at midnight, noon, and at an unknown time, 1991-2023. -

(\#fig:nibrsAdministrativeHours)Annual percent of incidents that occurred at midnight, noon, and at an unknown time, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/nibrsAdministrativeHours-1} + +} + +\caption{Annual percent of incidents that occurred at midnight, noon, and at an unknown time, 1991-2023.}(\#fig:nibrsAdministrativeHours) +\end{figure} Another way to visualize this is to see what hour is most and least common for every year we have data, as shown in Table \@ref(tab:nibrsAdministrativeCommonHours). Results are strikingly similar for the entire time period we have NIBRS. In every year except for 1991 the most common hour is midnight, and in every year the least common is 5am. When excluding midnight the most common hours are are the end of the work day at 5PM-5:59PM and 6PM-6:59PM, or at noon. NIBRS data is available since 1991, and the number of agencies reporting has grown each year. This is also a time period which has seen considerable changes in crimes, an increase in the 1990s followed by a sustained decrease since then until a (now seemingly temporary) spike starting in 2020. Yet throughout all these changes the most and least common hours remain very consistent, suggesting that there appear to strong rules of when crime occurs regardless of other changes. Or at least strong rules in what appears in our data, as I do not believe the midnight or noon hour results are real. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:nibrsAdministrativeCommonHours)The most and least common incident hours, and the most common hours excluding midnight and noon.
Year Most Common Least Common Most Common, Exclude Midnight Most Common, Exclude Midnight/Noon
1991 6PM 5AM 6PM 6PM
1992 Midnight 5AM 6PM 6PM
1993 Midnight 5AM 6PM 6PM
1994 Midnight 5AM 6PM 6PM
1995 Midnight 5AM 6PM 6PM
1996 Midnight 5AM 6PM 6PM
1997 Midnight 5AM 6PM 6PM
1998 Midnight 5AM 6PM 6PM
1999 Midnight 5AM 5PM 5PM
2000 Midnight 5AM 5PM 5PM
2001 Midnight 5AM 5PM 5PM
2002 Midnight 5AM 5PM 5PM
2003 Midnight 5AM 5PM 5PM
2004 Midnight 5AM 5PM 5PM
2005 Midnight 5AM 5PM 5PM
2006 Midnight 5AM 5PM 5PM
2007 Midnight 5AM 5PM 5PM
2008 Midnight 5AM 5PM 5PM
2009 Midnight 5AM Noon 5PM
2010 Midnight 5AM Noon 5PM
2011 Midnight 5AM Noon 5PM
2012 Midnight 5AM Noon 5PM
2013 Midnight 5AM Noon 5PM
2014 Midnight 5AM Noon 5PM
2015 Midnight 5AM Noon 5PM
2016 Midnight 5AM Noon 5PM
2017 Midnight 5AM Noon 5PM
2018 Midnight 5AM Noon 5PM
2019 Midnight 5AM Noon 5PM
2020 Midnight 5AM Noon 5PM
2021 Midnight 5AM Noon 5PM
2022 Midnight 5AM Noon 5PM
2023 Midnight 5AM Noon 5PM
+ +\begin{longtable}[t]{l|l|r|r|l} +\caption{(\#tab:nibrsAdministrativeCommonHours)The most and least common incident hours, and the most common hours excluding midnight and noon.}\\ +\hline +Year & Most Common & Least Common & Most Common, Exclude Midnight & Most Common, Exclude Midnight/Noon\\ +\hline +\endfirsthead +\caption[]{(\#tab:nibrsAdministrativeCommonHours)The most and least common incident hours, and the most common hours excluding midnight and noon. \textit{(continued)}}\\ +\hline +Year & Most Common & Least Common & Most Common, Exclude Midnight & Most Common, Exclude Midnight/Noon\\ +\hline +\endhead +1991 & 6PM & 5AM & 6PM & 6PM\\ +\hline +1992 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1993 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1994 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1995 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1996 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1997 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1998 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1999 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2000 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2001 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2002 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2003 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2004 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2005 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2006 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2007 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2008 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2009 & Midnight & 5AM & Noon & 5PM\\ +\hline +2010 & Midnight & 5AM & Noon & 5PM\\ +\hline +2011 & Midnight & 5AM & Noon & 5PM\\ +\hline +2012 & Midnight & 5AM & Noon & 5PM\\ +\hline +2013 & Midnight & 5AM & Noon & 5PM\\ +\hline +2014 & Midnight & 5AM & Noon & 5PM\\ +\hline +2015 & Midnight & 5AM & Noon & 5PM\\ +\hline +2016 & Midnight & 5AM & Noon & 5PM\\ +\hline +2017 & Midnight & 5AM & Noon & 5PM\\ +\hline +2018 & Midnight & 5AM & Noon & 5PM\\ +\hline +2019 & Midnight & 5AM & Noon & 5PM\\ +\hline +2020 & Midnight & 5AM & Noon & 5PM\\ +\hline +2021 & Midnight & 5AM & Noon & 5PM\\ +\hline +2022 & Midnight & 5AM & Noon & 5PM\\ +\hline +2023 & Midnight & 5AM & Noon & 5PM\\ +\hline +\end{longtable} @@ -316,17 +170,25 @@ Next we have when the offender is a juvenile and the police chose to avoid arres The values shown in Figure \@ref(fig:administrativeExceptionalClearances) are for all incidents so can be quite different when examining subsets of the data such as by offender demographics or incident type. Doing this would require merging the Administrative Segment with another segment such as Offense or Victim. -
-The distribution of exceptional clearances for all exceptional clearances reported to NIBRS, 1991-2023. -

(\#fig:administrativeExceptionalClearances)The distribution of exceptional clearances for all exceptional clearances reported to NIBRS, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeExceptionalClearances-1} + +} + +\caption{The distribution of exceptional clearances for all exceptional clearances reported to NIBRS, 1991-2023.}(\#fig:administrativeExceptionalClearances) +\end{figure} In Figure \@ref(fig:nibrsAdministrativeClearance) we can see trends in the percent of incidents that involve an arrest or an exceptional clearance. Ignoring the spike in the arrest rate in the first few years of data, likely part of growing pains of any new dataset, the share of incidents with an arrest is relatively steady over time, increasing until it peaks at a little under 30% of incidents in the mid-2010s and then declining since then. The share of incidents that are exceptionally cleared likewise are relatively steady but do show a slow decline over time, moving from a bit over 5% at the start of our data to about 3% by the end. These changes may simply be due to different agencies reporting over time but they are steady enough that I think the trend likely accurately reflects arrest and exceptional clearance rates in the US. -
-Percent of incidents with an arrest or exceptional clearance, 1991-2023. -

(\#fig:nibrsAdministrativeClearance)Percent of incidents with an arrest or exceptional clearance, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/nibrsAdministrativeClearance-1} + +} + +\caption{Percent of incidents with an arrest or exceptional clearance, 1991-2023.}(\#fig:nibrsAdministrativeClearance) +\end{figure} ## Number of other segments @@ -338,17 +200,25 @@ This variable indicates how many offense segments there are associated with this Figure \@ref(fig:administrativeOffenseSegments) shows the number of offense segments - and thus the number of crimes - associated with each incident. The vast majority of incidents only have one offense reported, making up 88% of incidents.^[In reality a person who commits a crime may be arrested or charged with many (often highly related) offenses related to a single criminal incident. So this data does report fewer incidents than you would likely find in other data sources, such as if you request data from a local police agency or district attorney's office.] This drops considerably to 10% of incidents having two offenses, 1% having three, and then under 0.15% of incidents having four through nine offenses. -
-The distribution for the number of Offender Segments per incident, for all incidents in NIBRS 2022. -

(\#fig:administrativeOffenseSegments)The distribution for the number of Offender Segments per incident, for all incidents in NIBRS 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeOffenseSegments-1} + +} + +\caption{The distribution for the number of Offender Segments per incident, for all incidents in NIBRS 2022.}(\#fig:administrativeOffenseSegments) +\end{figure} This trend is consistent over time. As shown in Figure \@ref(fig:nibrsAdministrativeNumberOffense), the median number of offense segments each year is one, while the mean number is slightly over one. -
-Annual mean and median number of Offense Segments, 1991-2023. -

(\#fig:nibrsAdministrativeNumberOffense)Annual mean and median number of Offense Segments, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/nibrsAdministrativeNumberOffense-1} + +} + +\caption{Annual mean and median number of Offense Segments, 1991-2023.}(\#fig:nibrsAdministrativeNumberOffense) +\end{figure} ### Offender Segments @@ -356,17 +226,25 @@ The Administrative Segment tells you how many offenders are involved with an inc With that major caveat in mind, Figure \@ref(fig:administrativeOffenderSegments) shows the distribution in how many offenders there were per incident. The vast majority of incidents have only one (or potentially an unknown number) offenders, at 91% percent of incidents. Incidents with two offenders make up only 7% of incidents while those with three make up 1% of incidents. No other number of offenders make up more than 0.5% of incidents. The data does have the exact number of offenders but I have top coded it to 10 in the graph for simplicity. There can potentially be a large number of offenders involved in an incident and in the 2022 NIBRS data the incident with the higher number of offenders had 86. However, it is exceedingly rare for there to be even more than a handful of offenders. -
-The distribution for the number of Offender Segments per incident, for all incidents in NIBRS 2022. -

(\#fig:administrativeOffenderSegments)The distribution for the number of Offender Segments per incident, for all incidents in NIBRS 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeOffenderSegments-1} + +} + +\caption{The distribution for the number of Offender Segments per incident, for all incidents in NIBRS 2022.}(\#fig:administrativeOffenderSegments) +\end{figure} As seen in Figure \@ref(fig:nibrsAdministrativeNumberOffender), in every year the median number of offenders is one and the mean number is just above one. -
-Annual mean and median number of Offender Segments, 1991-2023. -

(\#fig:nibrsAdministrativeNumberOffender)Annual mean and median number of Offender Segments, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/nibrsAdministrativeNumberOffender-1} + +} + +\caption{Annual mean and median number of Offender Segments, 1991-2023.}(\#fig:nibrsAdministrativeNumberOffender) +\end{figure} ### Victim Segments @@ -374,26 +252,38 @@ In cases where the offense is a "victimless crime" (or at least one where there Figure \@ref(fig:administrativeVictimSegments) shows the distribution in the number of victims per incident. Like the number of offenses and offenders, this is massively skewed to the left with 91% of incidents having a single victim. Incidents with two victims make up 8% of the data while incidents with three victims are 1%. All remaining numbers of victims are less than one third of 0.5% of the data each. The data does have the exact number of victims but I have top coded it to 10 in the graph for simplicity. The incident with the most victims in 2022 had 163 victims. -
-The distribution for the number of Victim Segments per incident, for all incidents in NIBRS 2022. -

(\#fig:administrativeVictimSegments)The distribution for the number of Victim Segments per incident, for all incidents in NIBRS 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeVictimSegments-1} + +} + +\caption{The distribution for the number of Victim Segments per incident, for all incidents in NIBRS 2022.}(\#fig:administrativeVictimSegments) +\end{figure} Similar to what we have seen with offenses and offenders, we can see in Figure \@ref(fig:nibrsAdministrativeNumberVictim) that the median number of victims is one and the mean number is just a bit more than one. -
-Annual mean and median number of Victim Segments, 1991-2023. -

(\#fig:nibrsAdministrativeNumberVictim)Annual mean and median number of Victim Segments, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/nibrsAdministrativeNumberVictim-1} + +} + +\caption{Annual mean and median number of Victim Segments, 1991-2023.}(\#fig:nibrsAdministrativeNumberVictim) +\end{figure} ### Arrestee Segments Unlike the previous segments, there may not always be an arrestee segment since not all crimes lead to an arrest. Figure \@ref(fig:administrativeArresteeSegments) shows the distribution in the number of arrestee segments per incident in the 2022 NIBRS data. Indeed, the vast majority - 77% of incidents - did not lead to a single arrest. In 21% of incidents a single person was arrested while in 2% of incidents two people were arrested. The remaining numbers of people arrested are increasingly small with fewer than 0.3% of incidents having more than three people arrested. The incident with the most arrests in 2022 led to 65 people arrested. -
-The distribution for the number of Arrestee Segments per incident, for all incidents in NIBRS 2022. -

(\#fig:administrativeArresteeSegments)The distribution for the number of Arrestee Segments per incident, for all incidents in NIBRS 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeArresteeSegments-1} + +} + +\caption{The distribution for the number of Arrestee Segments per incident, for all incidents in NIBRS 2022.}(\#fig:administrativeArresteeSegments) +\end{figure} Of course, to really understand these arrests we would need to know how many people committed the crime. Having one arrest for an incident with one offender is good, having one arrest when there are multiple offenders means some criminals are walking free. While we do not know the true number of offenders (as police may not know how many there actually were), we can use the Offender Segment count as an estimate. Figure \@ref(fig:administrativeArrestsAny) shows the percent of incidents where at least one offender was arrested and where all offenders were arrested, broken down by the number of reported offenders. @@ -402,16 +292,24 @@ There is wide variability in the percent of offenders arrested by the number of When there are two offenders, about 39% of incidents have at least one arrest and 26% of incidents have both offenders arrested. For having at least one person arrested we see a fairly steady rate of mid- to high-30% for each number of offenders. In contrast, the share of incidents where all offenders are arrested declines with each additional offender, reaching to only 9% with 10 or more offenders. -
-The percent of incidents by number of offenders where at least one offender is arrested and where all offenders are arrested. -

(\#fig:administrativeArrestsAny)The percent of incidents by number of offenders where at least one offender is arrested and where all offenders are arrested.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeArrestsAny-1} + +} + +\caption{The percent of incidents by number of offenders where at least one offender is arrested and where all offenders are arrested.}(\#fig:administrativeArrestsAny) +\end{figure} The median number of arrestee segments over time, as shown in Figure \@ref(fig:nibrsAdministrativeNumberArrestee) is zero, with the mean number slightly higher at around 0.3. -
-Annual mean and median number of Arrestee Segments, 1991-2023. -

(\#fig:nibrsAdministrativeNumberArrestee)Annual mean and median number of Arrestee Segments, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/nibrsAdministrativeNumberArrestee-1} + +} + +\caption{Annual mean and median number of Arrestee Segments, 1991-2023.}(\#fig:nibrsAdministrativeNumberArrestee) +\end{figure} In summary, the Administrative Segment provides a useful metadata for understanding what other segments are available for each incident. Although it is often necessary to combine this data with other segments to gain a full understanding of the incident, the information in the Administrative Segment - such as the timing of the crime and exceptional clearance details - offers useful insights into the broader patterns of criminal activity and law enforcement responses. diff --git a/docs/13_nibrs_offense.md b/docs/13_nibrs_offense.md index 07c8ec5..48cd4eb 100644 --- a/docs/13_nibrs_offense.md +++ b/docs/13_nibrs_offense.md @@ -20,385 +20,141 @@ Table \@ref(tab:offenseCrimeCategories) shows each possible crime in the data an This table also shows the first year that offense is included in the data. Most offenses have been included since NIBRS started in 1991, but these have been new offenses added, with these additions becoming more common recently. For example, the crime "Failure to register as a sex offender" was added in 2021 as was "Illegal entry into the United States." There are even offenses that were not reported at all in 2022, such as "treason," which is an offense that only federal and tribal agencies are allowed to report. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseCrimeCategories)The number and percent of crimes reported from all agencies in 2022, by crime category.
Crime Category First Year \# of Offenses \% of Offenses
Assault Offenses - Simple Assault 1991 1,935,317 13.83\%
Destruction/Damage/Vandalism of Property 1991 1,655,619 11.83\%
Larceny/Theft Offenses - All Other Larceny 1991 1,421,624 10.16\%
Drug/Narcotic Offenses - Drug/Narcotic Violations 1991 1,059,452 7.57\%
Larceny/Theft Offenses - Shoplifting 1991 966,955 6.91\%
Motor Vehicle Theft 1991 892,984 6.38\%
Larceny/Theft Offenses - Theft From Motor Vehicle 1991 858,529 6.13\%
Burglary/Breaking And Entering 1991 683,034 4.88\%
Assault Offenses - Intimidation 1991 623,972 4.46\%
Assault Offenses - Aggravated Assault 1991 605,159 4.32\%
Drug/Narcotic Offenses - Drug Equipment Violations 1991 486,578 3.48\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game 1991 368,675 2.63\%
Weapon Law Violations - Weapon Law Violations 1991 355,241 2.54\%
Larceny/Theft Offenses - Theft From Building 1991 309,847 2.21\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 1991 265,516 1.90\%
Fraud Offenses - Identity Theft 2015 206,577 1.48\%
Fraud Offenses - Credit Card/Atm Fraud 1991 192,734 1.38\%
Robbery 1991 179,206 1.28\%
Counterfeiting/Forgery 1991 154,026 1.10\%
Stolen Property Offenses (Receiving, Selling, Etc.) 1991 136,314 0.97\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) 1991 86,034 0.61\%
Fraud Offenses - Impersonation 1991 85,093 0.61\%
Sex Offenses - Rape 1991 78,612 0.56\%
Pornography/Obscene Material 1991 45,412 0.32\%
Kidnapping/Abduction 1991 44,695 0.32\%
Fraud Offenses - Wire Fraud 1991 43,899 0.31\%
Embezzlement 1991 35,162 0.25\%
Arson 1991 32,325 0.23\%
Extortion/Blackmail 1991 27,034 0.19\%
Larceny/Theft Offenses - Pocket-Picking 1991 26,529 0.19\%
Animal Cruelty 2015 22,418 0.16\%
Sex Offenses - Sodomy 1991 20,410 0.15\%
Murder/Nonnegligent Manslaughter 1991 14,861 0.11\%
Larceny/Theft Offenses - Purse-Snatching 1991 12,570 0.09\%
Prostitution Offenses - Prostitution 1991 9,184 0.07\%
Fraud Offenses - Hacking/Computer Invasion 2015 9,148 0.07\%
Sex Offenses - Sexual Assault With An Object 1991 7,984 0.06\%
Sex Offenses - Statutory Rape 1991 7,918 0.06\%
Fraud Offenses - Welfare Fraud 1991 6,116 0.04\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device 1991 4,993 0.04\%
Prostitution Offenses - Assisting Or Promoting Prostitution 1991 3,419 0.02\%
Prostitution Offenses - Purchasing Prostitution 2013 3,076 0.02\%
Human Trafficking - Commercial Sex Acts 2013 2,089 0.01\%
Negligent Manslaughter 1991 1,802 0.01\%
Sex Offenses - Incest 1991 1,147 0.01\%
Gambling Offenses - Operating/Promoting/Assisting Gambling 1991 1,141 0.01\%
Gambling Offenses - Gambling Equipment Violations 1991 922 0.01\%
Bribery 1991 807 0.01\%
Gambling Offenses - Betting/Wagering 1991 735 0.01\%
Justifiable Homicide - Not A Crime 1991 671 0.00\%
Human Trafficking - Involuntary Servitude 2014 495 0.00\%
Commerce Violations - Federal Liquor Offenses 2020 110 0.00\%
Fugitive Offenses - Flight To Avoid Prosecution 2021 109 0.00\%
Sex Offenses - Failure To Register As A Sex Offender 2019 42 0.00\%
Gambling Offenses - Sports Tampering 1994 7 0.00\%
Immigration Violations - Illegal Entry Into The United States 2020 3 0.00\%
Commerce Violations - Wildlife Trafficking 2023 2 0.00\%
Weapon Law Violations - Explosives 2021 1 0.00\%
Commerce Violations - Federal Tobacco Offenses 2021 1 0.00\%
Fraud Offenses - Money Laundering 2022 1 0.00\%
Total - 13,994,336 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseCrimeCategories)The number and percent of crimes reported from all agencies in 2022, by crime category.}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseCrimeCategories)The number and percent of crimes reported from all agencies in 2022, by crime category. \textit{(continued)}}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Assault Offenses - Simple Assault & 1991 & 1,935,317 & 13.83\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & 1991 & 1,655,619 & 11.83\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & 1991 & 1,421,624 & 10.16\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & 1991 & 1,059,452 & 7.57\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & 1991 & 966,955 & 6.91\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & 1991 & 892,984 & 6.38\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & 1991 & 858,529 & 6.13\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & 1991 & 683,034 & 4.88\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & 1991 & 623,972 & 4.46\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & 1991 & 605,159 & 4.32\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & 1991 & 486,578 & 3.48\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & 1991 & 368,675 & 2.63\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & 1991 & 355,241 & 2.54\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & 1991 & 309,847 & 2.21\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 1991 & 265,516 & 1.90\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & 2015 & 206,577 & 1.48\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & 1991 & 192,734 & 1.38\textbackslash{}\%\\ +\hline +Robbery & 1991 & 179,206 & 1.28\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & 1991 & 154,026 & 1.10\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & 1991 & 136,314 & 0.97\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & 1991 & 86,034 & 0.61\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & 1991 & 85,093 & 0.61\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & 1991 & 78,612 & 0.56\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & 1991 & 45,412 & 0.32\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & 1991 & 44,695 & 0.32\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & 1991 & 43,899 & 0.31\textbackslash{}\%\\ +\hline +Embezzlement & 1991 & 35,162 & 0.25\textbackslash{}\%\\ +\hline +Arson & 1991 & 32,325 & 0.23\textbackslash{}\%\\ +\hline +Extortion/Blackmail & 1991 & 27,034 & 0.19\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & 1991 & 26,529 & 0.19\textbackslash{}\%\\ +\hline +Animal Cruelty & 2015 & 22,418 & 0.16\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & 1991 & 20,410 & 0.15\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & 1991 & 14,861 & 0.11\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & 1991 & 12,570 & 0.09\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & 1991 & 9,184 & 0.07\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & 2015 & 9,148 & 0.07\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & 1991 & 7,984 & 0.06\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & 1991 & 7,918 & 0.06\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & 1991 & 6,116 & 0.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & 1991 & 4,993 & 0.04\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & 1991 & 3,419 & 0.02\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & 2013 & 3,076 & 0.02\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & 2013 & 2,089 & 0.01\textbackslash{}\%\\ +\hline +Negligent Manslaughter & 1991 & 1,802 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & 1991 & 1,147 & 0.01\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & 1991 & 1,141 & 0.01\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & 1991 & 922 & 0.01\textbackslash{}\%\\ +\hline +Bribery & 1991 & 807 & 0.01\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & 1991 & 735 & 0.01\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & 1991 & 671 & 0.00\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & 2014 & 495 & 0.00\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & 2020 & 110 & 0.00\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & 2021 & 109 & 0.00\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & 2019 & 42 & 0.00\textbackslash{}\%\\ +\hline +Gambling Offenses - Sports Tampering & 1994 & 7 & 0.00\textbackslash{}\%\\ +\hline +Immigration Violations - Illegal Entry Into The United States & 2020 & 3 & 0.00\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & 2023 & 2 & 0.00\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & 2021 & 1 & 0.00\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Tobacco Offenses & 2021 & 1 & 0.00\textbackslash{}\%\\ +\hline +Fraud Offenses - Money Laundering & 2022 & 1 & 0.00\textbackslash{}\%\\ +\hline +Total & - & 13,994,336 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -436,787 +192,275 @@ This data is only available for the below subset of crimes, and is not always pr * Weapon Law Violations - Violation of National Firearm Act of 1934 * Weapon Law Violations - Weapon Law Violations - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseCrimeSubcategories)The number and percent of crime subtypes by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to three subtypes per offense; in this table we only use the first subtype.
Crime Crime Subcategory \# of Offenses \% of Offenses
Animal Cruelty Simple/Gross Neglect (Unintentionally, Intentionally, Or Knowingly Failing To Provide Food, Water, Shelter, Veterinary Care, Hoarding, Etc.) 14,316 63.86\%
Animal Cruelty Intentional Abuse And Torture (Tormenting, Mutilating, Poisoning, Or Abandonment) 7,470 33.32\%
Animal Cruelty Animal Sexual Abuse (Bestiality) 368 1.64\%
Animal Cruelty Organized Abuse (Dog Fighting And Cock Fighting) 264 1.18\%
Animal Cruelty Total 22,418 100\%
Assault Offenses - Aggravated Assault None/Unknown Gang Involvement (Mutually Exclusive) 335,384 55.42\%
Assault Offenses - Aggravated Assault None 264,605 43.72\%
Assault Offenses - Aggravated Assault Other Gang 3,843 0.64\%
Assault Offenses - Aggravated Assault Juvenile Gang Involvement 1,327 0.22\%
Assault Offenses - Aggravated Assault Total 605,159 100\%
Assault Offenses - Intimidation None/Unknown Gang Involvement (Mutually Exclusive) 397,389 63.69\%
Assault Offenses - Intimidation None 223,830 35.87\%
Assault Offenses - Intimidation Other Gang 2,002 0.32\%
Assault Offenses - Intimidation Juvenile Gang Involvement 751 0.12\%
Assault Offenses - Intimidation Total 623,972 100\%
Assault Offenses - Simple Assault None/Unknown Gang Involvement (Mutually Exclusive) 1,076,203 55.61\%
Assault Offenses - Simple Assault None 853,121 44.08\%
Assault Offenses - Simple Assault Other Gang 3,950 0.20\%
Assault Offenses - Simple Assault Juvenile Gang Involvement 2,043 0.11\%
Assault Offenses - Simple Assault Total 1,935,317 100\%
Commerce Violations - Federal Liquor Offenses Using/Consuming 97 88.18\%
Commerce Violations - Federal Liquor Offenses Possessing/Concealing 11 10.00\%
Commerce Violations - Federal Liquor Offenses Distributing/Selling 2 1.82\%
Commerce Violations - Federal Liquor Offenses Total 110 100\%
Counterfeiting/Forgery Possessing/Concealing 57,858 37.56\%
Counterfeiting/Forgery Using/Consuming 31,008 20.13\%
Counterfeiting/Forgery Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 27,638 17.94\%
Counterfeiting/Forgery Buying/Receiving 24,471 15.89\%
Counterfeiting/Forgery Distributing/Selling 6,914 4.49\%
Counterfeiting/Forgery Operating/Promoting/Assisting 3,860 2.51\%
Counterfeiting/Forgery Transporting/Transmitting/Importing 2,212 1.44\%
Counterfeiting/Forgery Exploiting Children 65 0.04\%
Counterfeiting/Forgery Total 154,026 100\%
Drug/Narcotic Offenses - Drug Equipment Violations Possessing/Concealing 429,627 88.30\%
Drug/Narcotic Offenses - Drug Equipment Violations Using/Consuming 40,911 8.41\%
Drug/Narcotic Offenses - Drug Equipment Violations Distributing/Selling 7,951 1.63\%
Drug/Narcotic Offenses - Drug Equipment Violations Buying/Receiving 4,616 0.95\%
Drug/Narcotic Offenses - Drug Equipment Violations Transporting/Transmitting/Importing 1,356 0.28\%
Drug/Narcotic Offenses - Drug Equipment Violations Operating/Promoting/Assisting 1,111 0.23\%
Drug/Narcotic Offenses - Drug Equipment Violations Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 983 0.20\%
Drug/Narcotic Offenses - Drug Equipment Violations Exploiting Children 23 0.00\%
Drug/Narcotic Offenses - Drug Equipment Violations Total 486,578 100\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Possessing/Concealing 838,769 79.17\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Distributing/Selling 96,581 9.12\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Using/Consuming 90,430 8.54\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Buying/Receiving 19,444 1.84\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Transporting/Transmitting/Importing 6,409 0.60\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 5,260 0.50\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Operating/Promoting/Assisting 2,449 0.23\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Exploiting Children 110 0.01\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Total 1,059,452 100\%
Gambling Offenses - Gambling Equipment Violations Operating/Promoting/Assisting 425 46.10\%
Gambling Offenses - Gambling Equipment Violations Possessing/Concealing 419 45.44\%
Gambling Offenses - Gambling Equipment Violations Using/Consuming 32 3.47\%
Gambling Offenses - Gambling Equipment Violations Buying/Receiving 28 3.04\%
Gambling Offenses - Gambling Equipment Violations Distributing/Selling 9 0.98\%
Gambling Offenses - Gambling Equipment Violations Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 8 0.87\%
Gambling Offenses - Gambling Equipment Violations Transporting/Transmitting/Importing 1 0.11\%
Gambling Offenses - Gambling Equipment Violations Total 922 100\%
Kidnapping/Abduction None/Unknown Gang Involvement (Mutually Exclusive) 24,074 53.86\%
Kidnapping/Abduction None 20,397 45.64\%
Kidnapping/Abduction Other Gang 187 0.42\%
Kidnapping/Abduction Juvenile Gang Involvement 37 0.08\%
Kidnapping/Abduction Total 44,695 100\%
Murder/Nonnegligent Manslaughter None/Unknown Gang Involvement (Mutually Exclusive) 8,129 54.70\%
Murder/Nonnegligent Manslaughter None 6,420 43.20\%
Murder/Nonnegligent Manslaughter Other Gang 246 1.66\%
Murder/Nonnegligent Manslaughter Juvenile Gang Involvement 66 0.44\%
Murder/Nonnegligent Manslaughter Total 14,861 100\%
Negligent Manslaughter None/Unknown Gang Involvement (Mutually Exclusive) 967 53.66\%
Negligent Manslaughter None 827 45.89\%
Negligent Manslaughter Other Gang 6 0.33\%
Negligent Manslaughter Juvenile Gang Involvement 2 0.11\%
Negligent Manslaughter Total 1,802 100\%
Pornography/Obscene Material Exploiting Children 14,059 30.96\%
Pornography/Obscene Material Possessing/Concealing 12,448 27.41\%
Pornography/Obscene Material Distributing/Selling 10,479 23.08\%
Pornography/Obscene Material Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 3,564 7.85\%
Pornography/Obscene Material Transporting/Transmitting/Importing 1,864 4.10\%
Pornography/Obscene Material Operating/Promoting/Assisting 1,145 2.52\%
Pornography/Obscene Material Buying/Receiving 1,029 2.27\%
Pornography/Obscene Material Using/Consuming 824 1.81\%
Pornography/Obscene Material Total 45,412 100\%
Robbery None/Unknown Gang Involvement (Mutually Exclusive) 109,362 61.03\%
Robbery None 68,107 38.00\%
Robbery Other Gang 1,093 0.61\%
Robbery Juvenile Gang Involvement 644 0.36\%
Robbery Total 179,206 100\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) None/Unknown Gang Involvement (Mutually Exclusive) 44,827 52.10\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) None 41,010 47.67\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Other Gang 102 0.12\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Juvenile Gang Involvement 95 0.11\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Total 86,034 100\%
Sex Offenses - Rape None/Unknown Gang Involvement (Mutually Exclusive) 41,327 52.57\%
Sex Offenses - Rape None 37,050 47.13\%
Sex Offenses - Rape Other Gang 176 0.22\%
Sex Offenses - Rape Juvenile Gang Involvement 59 0.08\%
Sex Offenses - Rape Total 78,612 100\%
Sex Offenses - Sexual Assault With An Object None 4,261 53.37\%
Sex Offenses - Sexual Assault With An Object None/Unknown Gang Involvement (Mutually Exclusive) 3,708 46.44\%
Sex Offenses - Sexual Assault With An Object Juvenile Gang Involvement 9 0.11\%
Sex Offenses - Sexual Assault With An Object Other Gang 6 0.08\%
Sex Offenses - Sexual Assault With An Object Total 7,984 100\%
Sex Offenses - Sodomy None/Unknown Gang Involvement (Mutually Exclusive) 11,074 54.26\%
Sex Offenses - Sodomy None 9,285 45.49\%
Sex Offenses - Sodomy Other Gang 30 0.15\%
Sex Offenses - Sodomy Juvenile Gang Involvement 21 0.10\%
Sex Offenses - Sodomy Total 20,410 100\%
Stolen Property Offenses (Receiving, Selling, Etc.) Possessing/Concealing 107,218 78.66\%
Stolen Property Offenses (Receiving, Selling, Etc.) Buying/Receiving 14,483 10.62\%
Stolen Property Offenses (Receiving, Selling, Etc.) Operating/Promoting/Assisting 5,759 4.22\%
Stolen Property Offenses (Receiving, Selling, Etc.) Using/Consuming 4,478 3.29\%
Stolen Property Offenses (Receiving, Selling, Etc.) Transporting/Transmitting/Importing 2,313 1.70\%
Stolen Property Offenses (Receiving, Selling, Etc.) Distributing/Selling 1,930 1.42\%
Stolen Property Offenses (Receiving, Selling, Etc.) Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 124 0.09\%
Stolen Property Offenses (Receiving, Selling, Etc.) Exploiting Children 9 0.01\%
Stolen Property Offenses (Receiving, Selling, Etc.) Total 136,314 100\%
Weapon Law Violations - Explosives Possessing/Concealing 1 100.00\%
Weapon Law Violations - Explosives Total 1 100\%
Weapon Law Violations - Weapon Law Violations Possessing/Concealing 291,967 82.19\%
Weapon Law Violations - Weapon Law Violations Using/Consuming 40,616 11.43\%
Weapon Law Violations - Weapon Law Violations Operating/Promoting/Assisting 11,727 3.30\%
Weapon Law Violations - Weapon Law Violations Buying/Receiving 4,204 1.18\%
Weapon Law Violations - Weapon Law Violations Distributing/Selling 3,092 0.87\%
Weapon Law Violations - Weapon Law Violations Transporting/Transmitting/Importing 2,672 0.75\%
Weapon Law Violations - Weapon Law Violations Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 893 0.25\%
Weapon Law Violations - Weapon Law Violations Exploiting Children 70 0.02\%
Weapon Law Violations - Weapon Law Violations Total 355,241 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseCrimeSubcategories)The number and percent of crime subtypes by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to three subtypes per offense; in this table we only use the first subtype.}\\ +\hline +Crime & Crime Subcategory & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseCrimeSubcategories)The number and percent of crime subtypes by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to three subtypes per offense; in this table we only use the first subtype. \textit{(continued)}}\\ +\hline +Crime & Crime Subcategory & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Animal Cruelty & Simple/Gross Neglect (Unintentionally, Intentionally, Or Knowingly Failing To Provide Food, Water, Shelter, Veterinary Care, Hoarding, Etc.) & 14,316 & 63.86\textbackslash{}\%\\ +\hline +Animal Cruelty & Intentional Abuse And Torture (Tormenting, Mutilating, Poisoning, Or Abandonment) & 7,470 & 33.32\textbackslash{}\%\\ +\hline +Animal Cruelty & Animal Sexual Abuse (Bestiality) & 368 & 1.64\textbackslash{}\%\\ +\hline +Animal Cruelty & Organized Abuse (Dog Fighting And Cock Fighting) & 264 & 1.18\textbackslash{}\%\\ +\hline +Animal Cruelty & Total & 22,418 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & None/Unknown Gang Involvement (Mutually Exclusive) & 335,384 & 55.42\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & None & 264,605 & 43.72\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Other Gang & 3,843 & 0.64\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Juvenile Gang Involvement & 1,327 & 0.22\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Total & 605,159 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & None/Unknown Gang Involvement (Mutually Exclusive) & 397,389 & 63.69\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & None & 223,830 & 35.87\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Other Gang & 2,002 & 0.32\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Juvenile Gang Involvement & 751 & 0.12\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Total & 623,972 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & None/Unknown Gang Involvement (Mutually Exclusive) & 1,076,203 & 55.61\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & None & 853,121 & 44.08\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Other Gang & 3,950 & 0.20\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Juvenile Gang Involvement & 2,043 & 0.11\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Total & 1,935,317 & 100\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Using/Consuming & 97 & 88.18\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Possessing/Concealing & 11 & 10.00\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Distributing/Selling & 2 & 1.82\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Total & 110 & 100\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Possessing/Concealing & 57,858 & 37.56\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Using/Consuming & 31,008 & 20.13\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 27,638 & 17.94\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Buying/Receiving & 24,471 & 15.89\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Distributing/Selling & 6,914 & 4.49\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Operating/Promoting/Assisting & 3,860 & 2.51\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Transporting/Transmitting/Importing & 2,212 & 1.44\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Exploiting Children & 65 & 0.04\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Total & 154,026 & 100\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Possessing/Concealing & 429,627 & 88.30\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Using/Consuming & 40,911 & 8.41\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Distributing/Selling & 7,951 & 1.63\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Buying/Receiving & 4,616 & 0.95\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Transporting/Transmitting/Importing & 1,356 & 0.28\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Operating/Promoting/Assisting & 1,111 & 0.23\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 983 & 0.20\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Exploiting Children & 23 & 0.00\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Total & 486,578 & 100\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Possessing/Concealing & 838,769 & 79.17\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Distributing/Selling & 96,581 & 9.12\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Using/Consuming & 90,430 & 8.54\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Buying/Receiving & 19,444 & 1.84\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Transporting/Transmitting/Importing & 6,409 & 0.60\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 5,260 & 0.50\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Operating/Promoting/Assisting & 2,449 & 0.23\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Exploiting Children & 110 & 0.01\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Total & 1,059,452 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Operating/Promoting/Assisting & 425 & 46.10\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Possessing/Concealing & 419 & 45.44\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Using/Consuming & 32 & 3.47\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Buying/Receiving & 28 & 3.04\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Distributing/Selling & 9 & 0.98\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 8 & 0.87\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Transporting/Transmitting/Importing & 1 & 0.11\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Total & 922 & 100\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & None/Unknown Gang Involvement (Mutually Exclusive) & 24,074 & 53.86\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & None & 20,397 & 45.64\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Other Gang & 187 & 0.42\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Juvenile Gang Involvement & 37 & 0.08\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Total & 44,695 & 100\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & None/Unknown Gang Involvement (Mutually Exclusive) & 8,129 & 54.70\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & None & 6,420 & 43.20\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Other Gang & 246 & 1.66\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Juvenile Gang Involvement & 66 & 0.44\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Total & 14,861 & 100\textbackslash{}\%\\ +\hline +Negligent Manslaughter & None/Unknown Gang Involvement (Mutually Exclusive) & 967 & 53.66\textbackslash{}\%\\ +\hline +Negligent Manslaughter & None & 827 & 45.89\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Other Gang & 6 & 0.33\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Juvenile Gang Involvement & 2 & 0.11\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Total & 1,802 & 100\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Exploiting Children & 14,059 & 30.96\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Possessing/Concealing & 12,448 & 27.41\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Distributing/Selling & 10,479 & 23.08\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 3,564 & 7.85\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Transporting/Transmitting/Importing & 1,864 & 4.10\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Operating/Promoting/Assisting & 1,145 & 2.52\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Buying/Receiving & 1,029 & 2.27\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Using/Consuming & 824 & 1.81\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Total & 45,412 & 100\textbackslash{}\%\\ +\hline +Robbery & None/Unknown Gang Involvement (Mutually Exclusive) & 109,362 & 61.03\textbackslash{}\%\\ +\hline +Robbery & None & 68,107 & 38.00\textbackslash{}\%\\ +\hline +Robbery & Other Gang & 1,093 & 0.61\textbackslash{}\%\\ +\hline +Robbery & Juvenile Gang Involvement & 644 & 0.36\textbackslash{}\%\\ +\hline +Robbery & Total & 179,206 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & None/Unknown Gang Involvement (Mutually Exclusive) & 44,827 & 52.10\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & None & 41,010 & 47.67\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Other Gang & 102 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Juvenile Gang Involvement & 95 & 0.11\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Total & 86,034 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & None/Unknown Gang Involvement (Mutually Exclusive) & 41,327 & 52.57\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & None & 37,050 & 47.13\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Other Gang & 176 & 0.22\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Juvenile Gang Involvement & 59 & 0.08\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Total & 78,612 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & None & 4,261 & 53.37\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & None/Unknown Gang Involvement (Mutually Exclusive) & 3,708 & 46.44\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Juvenile Gang Involvement & 9 & 0.11\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Other Gang & 6 & 0.08\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Total & 7,984 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & None/Unknown Gang Involvement (Mutually Exclusive) & 11,074 & 54.26\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & None & 9,285 & 45.49\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Other Gang & 30 & 0.15\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Juvenile Gang Involvement & 21 & 0.10\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Total & 20,410 & 100\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Possessing/Concealing & 107,218 & 78.66\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Buying/Receiving & 14,483 & 10.62\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Operating/Promoting/Assisting & 5,759 & 4.22\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Using/Consuming & 4,478 & 3.29\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Transporting/Transmitting/Importing & 2,313 & 1.70\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Distributing/Selling & 1,930 & 1.42\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 124 & 0.09\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Exploiting Children & 9 & 0.01\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Total & 136,314 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Possessing/Concealing & 1 & 100.00\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Total & 1 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Possessing/Concealing & 291,967 & 82.19\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Using/Consuming & 40,616 & 11.43\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Operating/Promoting/Assisting & 11,727 & 3.30\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Buying/Receiving & 4,204 & 1.18\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Distributing/Selling & 3,092 & 0.87\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Transporting/Transmitting/Importing & 2,672 & 0.75\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 893 & 0.25\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Exploiting Children & 70 & 0.02\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Total & 355,241 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -1228,322 +472,150 @@ Some offenses, such as simple and aggravated assault or homicide, are only label Table \@ref(tab:offensesCompleted) shows the percent of each crime category in 2022 NIBRS data that was completed or was only attempted. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offensesCompleted)The percent of crimes completed or attempted, by crime category.
Crime Category \% Completed % Attempted
Drug/Narcotic Offenses - Drug Equipment Violations 99.81 \% 0.19 \%
Drug/Narcotic Offenses - Drug/Narcotic Violations 99.62 \% 0.38 \%
Destruction/Damage/Vandalism of Property 99.37 \% 0.63 \%
Larceny/Theft Offenses - Theft From Building 99.31 \% 0.69 \%
Larceny/Theft Offenses - Pocket-Picking 98.94 \% 1.06 \%
Weapon Law Violations - Weapon Law Violations 98.93 \% 1.07 \%
Embezzlement 98.77 \% 1.23 \%
Larceny/Theft Offenses - All Other Larceny 98.77 \% 1.23 \%
Larceny/Theft Offenses - Shoplifting 98.77 \% 1.23 \%
Stolen Property Offenses (Receiving, Selling, Etc.) 98.69 \% 1.31 \%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 98.14 \% 1.86 \%
Larceny/Theft Offenses - Purse-Snatching 97.82 \% 2.18 \%
Sex Offenses - Sexual Assault With An Object 97.63 \% 2.37 \%
Animal Cruelty 97.4 \% 2.6 \%
Pornography/Obscene Material 97.32 \% 2.68 \%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) 97.23 \% 2.77 \%
Sex Offenses - Incest 97.04 \% 2.96 \%
Sex Offenses - Statutory Rape 96.98 \% 3.02 \%
Sex Offenses - Sodomy 96.56 \% 3.44 \%
Sex Offenses - Rape 96.48 \% 3.52 \%
Prostitution Offenses - Assisting Or Promoting Prostitution 95.76 \% 4.24 \%
Counterfeiting/Forgery 95.73 \% 4.27 \%
Fraud Offenses - Identity Theft 95.25 \% 4.75 \%
Kidnapping/Abduction 95.01 \% 4.99 \%
Arson 94.85 \% 5.15 \%
Prostitution Offenses - Prostitution 94.29 \% 5.71 \%
Fraud Offenses - Credit Card/Atm Fraud 93.64 \% 6.36 \%
Burglary/Breaking And Entering 93.39 \% 6.61 \%
Gambling Offenses - Gambling Equipment Violations 93.38 \% 6.62 \%
Fraud Offenses - False Pretenses/Swindle/Confidence Game 92.33 \% 7.67 \%
Fraud Offenses - Wire Fraud 92.26 \% 7.74 \%
Fraud Offenses - Impersonation 92.04 \% 7.96 \%
Fraud Offenses - Welfare Fraud 91.63 \% 8.37 \%
Human Trafficking - Involuntary Servitude 91.52 \% 8.48 \%
Human Trafficking - Commercial Sex Acts 91.38 \% 8.62 \%
Larceny/Theft Offenses - Theft From Motor Vehicle 91.27 \% 8.73 \%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device 91.15 \% 8.85 \%
Prostitution Offenses - Purchasing Prostitution 90.6 \% 9.4 \%
Robbery 90.2 \% 9.8 \%
Fraud Offenses - Hacking/Computer Invasion 89.43 \% 10.57 \%
Gambling Offenses - Operating/Promoting/Assisting Gambling 88.17 \% 11.83 \%
Motor Vehicle Theft 88.07 \% 11.93 \%
Gambling Offenses - Betting/Wagering 86.67 \% 13.33 \%
Commerce Violations - Federal Liquor Offenses 86.36 \% 13.64 \%
Bribery 80.67 \% 19.33 \%
Fugitive Offenses - Flight To Avoid Prosecution 71.56 \% 28.44 \%
Extortion/Blackmail 61.84 \% 38.16 \%
Gambling Offenses - Sports Tampering 57.14 \% 42.86 \%
Commerce Violations - Wildlife Trafficking 50 \% 50 \%
Assault Offenses - Aggravated Assault 100 \% 0 \%
Assault Offenses - Intimidation 100 \% 0 \%
Assault Offenses - Simple Assault 100 \% 0 \%
Commerce Violations - Federal Tobacco Offenses 100 \% 0 \%
Immigration Violations - Illegal Entry Into The United States 100 \% 0 \%
Justifiable Homicide - Not A Crime 100 \% 0 \%
Murder/Nonnegligent Manslaughter 100 \% 0 \%
Negligent Manslaughter 100 \% 0 \%
Sex Offenses - Failure To Register As A Sex Offender 100 \% 0 \%
Weapon Law Violations - Explosives 100 \% 0 \%
+ +\begin{longtable}[t]{l|l|r} +\caption{(\#tab:offensesCompleted)The percent of crimes completed or attempted, by crime category.}\\ +\hline +Crime Category & \textbackslash{}\% Completed & \% Attempted\\ +\hline +\endfirsthead +\caption[]{(\#tab:offensesCompleted)The percent of crimes completed or attempted, by crime category. \textit{(continued)}}\\ +\hline +Crime Category & \textbackslash{}\% Completed & \% Attempted\\ +\hline +\endhead +Drug/Narcotic Offenses - Drug Equipment Violations & 99.81 \textbackslash{}\% & 0.19 \textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & 99.62 \textbackslash{}\% & 0.38 \textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & 99.37 \textbackslash{}\% & 0.63 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & 99.31 \textbackslash{}\% & 0.69 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & 98.94 \textbackslash{}\% & 1.06 \textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & 98.93 \textbackslash{}\% & 1.07 \textbackslash{}\%\\ +\hline +Embezzlement & 98.77 \textbackslash{}\% & 1.23 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & 98.77 \textbackslash{}\% & 1.23 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & 98.77 \textbackslash{}\% & 1.23 \textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & 98.69 \textbackslash{}\% & 1.31 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 98.14 \textbackslash{}\% & 1.86 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & 97.82 \textbackslash{}\% & 2.18 \textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & 97.63 \textbackslash{}\% & 2.37 \textbackslash{}\%\\ +\hline +Animal Cruelty & 97.4 \textbackslash{}\% & 2.6 \textbackslash{}\%\\ +\hline +Pornography/Obscene Material & 97.32 \textbackslash{}\% & 2.68 \textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & 97.23 \textbackslash{}\% & 2.77 \textbackslash{}\%\\ +\hline +Sex Offenses - Incest & 97.04 \textbackslash{}\% & 2.96 \textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & 96.98 \textbackslash{}\% & 3.02 \textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & 96.56 \textbackslash{}\% & 3.44 \textbackslash{}\%\\ +\hline +Sex Offenses - Rape & 96.48 \textbackslash{}\% & 3.52 \textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & 95.76 \textbackslash{}\% & 4.24 \textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & 95.73 \textbackslash{}\% & 4.27 \textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & 95.25 \textbackslash{}\% & 4.75 \textbackslash{}\%\\ +\hline +Kidnapping/Abduction & 95.01 \textbackslash{}\% & 4.99 \textbackslash{}\%\\ +\hline +Arson & 94.85 \textbackslash{}\% & 5.15 \textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & 94.29 \textbackslash{}\% & 5.71 \textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & 93.64 \textbackslash{}\% & 6.36 \textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & 93.39 \textbackslash{}\% & 6.61 \textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & 93.38 \textbackslash{}\% & 6.62 \textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & 92.33 \textbackslash{}\% & 7.67 \textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & 92.26 \textbackslash{}\% & 7.74 \textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & 92.04 \textbackslash{}\% & 7.96 \textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & 91.63 \textbackslash{}\% & 8.37 \textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & 91.52 \textbackslash{}\% & 8.48 \textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & 91.38 \textbackslash{}\% & 8.62 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & 91.27 \textbackslash{}\% & 8.73 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & 91.15 \textbackslash{}\% & 8.85 \textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & 90.6 \textbackslash{}\% & 9.4 \textbackslash{}\%\\ +\hline +Robbery & 90.2 \textbackslash{}\% & 9.8 \textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & 89.43 \textbackslash{}\% & 10.57 \textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & 88.17 \textbackslash{}\% & 11.83 \textbackslash{}\%\\ +\hline +Motor Vehicle Theft & 88.07 \textbackslash{}\% & 11.93 \textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & 86.67 \textbackslash{}\% & 13.33 \textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & 86.36 \textbackslash{}\% & 13.64 \textbackslash{}\%\\ +\hline +Bribery & 80.67 \textbackslash{}\% & 19.33 \textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & 71.56 \textbackslash{}\% & 28.44 \textbackslash{}\%\\ +\hline +Extortion/Blackmail & 61.84 \textbackslash{}\% & 38.16 \textbackslash{}\%\\ +\hline +Gambling Offenses - Sports Tampering & 57.14 \textbackslash{}\% & 42.86 \textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & 50 \textbackslash{}\% & 50 \textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Commerce Violations - Federal Tobacco Offenses & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Immigration Violations - Illegal Entry Into The United States & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Negligent Manslaughter & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +\end{longtable} In Figure \@ref(fig:nibrsOffenseCompleted) we see the share of all offenses per year that are reported as completed. In every year we have data nearly all offenses were reported as being completed. -
-The annual percent of offenses reported as completed, 1991-2023. -

(\#fig:nibrsOffenseCompleted)The annual percent of offenses reported as completed, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/nibrsOffenseCompleted-1} + +} + +\caption{The annual percent of offenses reported as completed, 1991-2023.}(\#fig:nibrsOffenseCompleted) +\end{figure} ## Drug, alcohol, or computer use @@ -1553,17 +625,25 @@ For each offense there are three variables about usage of any of these so potent Figure \@ref(fig:offenseDrugAlcoholComputer) shows the distribution is suspected usage for all offenses in 2019 NIBRS. This is just from the first suspected use variable for simplicity of the graph. The most common outcome is "Not Applicable" at 89% of offenses. Not Applicable actually just means that the offender was not suspected of using drugs, alcohol, or computer equipment. -
-The distribution of drug, alcohol, or computer use for all offenses in 2022 -

(\#fig:offenseDrugAlcoholComputer)The distribution of drug, alcohol, or computer use for all offenses in 2022

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/offenseDrugAlcoholComputer-1} + +} + +\caption{The distribution of drug, alcohol, or computer use for all offenses in 2022}(\#fig:offenseDrugAlcoholComputer) +\end{figure} Figure \@ref(fig:offenseDrugAlcoholComputerAny) shows the distribution of suspected use when excluding "Not Applicable." Drug usage is the most common thing offenders are suspected of using. In about 61% of offenses where the offender is suspected of using something (of the drugs, alcohol, or "computer equipment" choices), that something is drugs. Again, we do not know what type of drug was used, only that it was not alcohol. Alcohol follows at 30% while computer equipment is only 6%. -
-The distribution of drug, alcohol, or computer use for offenses where there was usage of one of these items. For easier viewing of how this variable is distributed, this figure excludes all offenses where there was no drug, alcohol, or computer use or the variable was NA. -

(\#fig:offenseDrugAlcoholComputerAny)The distribution of drug, alcohol, or computer use for offenses where there was usage of one of these items. For easier viewing of how this variable is distributed, this figure excludes all offenses where there was no drug, alcohol, or computer use or the variable was NA.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/offenseDrugAlcoholComputerAny-1} + +} + +\caption{The distribution of drug, alcohol, or computer use for offenses where there was usage of one of these items. For easier viewing of how this variable is distributed, this figure excludes all offenses where there was no drug, alcohol, or computer use or the variable was NA.}(\#fig:offenseDrugAlcoholComputerAny) +\end{figure} ## Crime location @@ -1573,2251 +653,775 @@ The most common place for a crime to occur is in someone's own home, at 38% of o Incidents can involve multiple offenses but would likely - though not always - occur in the same location. So if certain locations are more likely to have multiple offenses in that incident then we could be counting those locations more often. That may be okay, if what you're really interested in is data at the offense-level rather than the more commonly used incident-level. But it is important to be careful in making sure you are measuring the data right and presenting results clearly. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseLocation)The location of crimes for all offenses reported in 2022.
Crime Location First Year \# of Offenses \% of Offenses
Residence/Home 1991 5,183,989 37.04\%
Highway/Road/Alley/Street/Sidewalk 1991 2,485,451 17.76\%
Parking Lot/Drop Lot/Parking Garage 1991 1,278,600 9.14\%
Other/Unknown 1991 699,834 5.00\%
Department/Discount Store 1991 591,328 4.23\%
Grocery/Supermarket 1991 322,997 2.31\%
Specialty Store (Tv, Fur, Etc.) 1991 320,153 2.29\%
Convenience Store 1991 305,186 2.18\%
Commercial/Office Building 1991 297,968 2.13\%
School - Elementary/Secondary 2009 255,924 1.83\%
Restaurant 1991 223,297 1.60\%
Hotel/Motel/Etc. 1991 218,343 1.56\%
Service/Gas Station 1991 191,290 1.37\%
Drug Store/Doctors Office/Hospital 1991 172,748 1.23\%
Cyberspace 2015 151,576 1.08\%
Bank/Savings And Loan 1991 128,019 0.91\%
Park/Playground 2010 126,604 0.90\%
Government/Public Building 1991 95,696 0.68\%
Bar/Nightclub 1991 93,809 0.67\%
Rental Storage Facility 1991 82,604 0.59\%
Shopping Mall 2009 82,576 0.59\%
School - College/University 2009 76,897 0.55\%
Jail/Prison/Penitentiary/Corrections Facility 1991 73,706 0.53\%
Construction Site 1991 70,901 0.51\%
Air/Bus/Train Terminal 1991 70,663 0.50\%
Field/Woods 1991 55,871 0.40\%
Church/Synagogue/Temple/Mosque 1991 41,987 0.30\%
Auto Dealership New/Used 2009 40,016 0.29\%
Liquor Store 1991 36,738 0.26\%
Gambling Facility/Casino/Race Track 2009 32,447 0.23\%
School/College 1991 28,906 0.21\%
Shelter - Mission/Homeless 2010 23,112 0.17\%
Industrial Site 2009 22,293 0.16\%
Community Center 2012 16,542 0.12\%
Camp/Campground 2009 12,038 0.09\%
Arena/Stadium/Fairgrounds/Coliseum 2009 10,773 0.08\%
Lake/Waterway/Beach 1991 10,345 0.07\%
Atm Separate From Bank 2009 10,337 0.07\%
Abandoned/Condemned Structure 2010 10,048 0.07\%
Farm Facility 2009 9,731 0.07\%
Amusement Park 2010 8,171 0.06\%
Daycare Facility 2009 7,806 0.06\%
Dock/Wharf/Freight/Modal Terminal 2009 7,189 0.05\%
Tribal Lands 2011 5,193 0.04\%
Rest Area 2009 3,773 0.03\%
Military Installation 2010 861 0.01\%
Total - 13,994,336 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseLocation)The location of crimes for all offenses reported in 2022.}\\ +\hline +Crime Location & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseLocation)The location of crimes for all offenses reported in 2022. \textit{(continued)}}\\ +\hline +Crime Location & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Residence/Home & 1991 & 5,183,989 & 37.04\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & 1991 & 2,485,451 & 17.76\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & 1991 & 1,278,600 & 9.14\textbackslash{}\%\\ +\hline +Other/Unknown & 1991 & 699,834 & 5.00\textbackslash{}\%\\ +\hline +Department/Discount Store & 1991 & 591,328 & 4.23\textbackslash{}\%\\ +\hline +Grocery/Supermarket & 1991 & 322,997 & 2.31\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & 1991 & 320,153 & 2.29\textbackslash{}\%\\ +\hline +Convenience Store & 1991 & 305,186 & 2.18\textbackslash{}\%\\ +\hline +Commercial/Office Building & 1991 & 297,968 & 2.13\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & 2009 & 255,924 & 1.83\textbackslash{}\%\\ +\hline +Restaurant & 1991 & 223,297 & 1.60\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & 1991 & 218,343 & 1.56\textbackslash{}\%\\ +\hline +Service/Gas Station & 1991 & 191,290 & 1.37\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & 1991 & 172,748 & 1.23\textbackslash{}\%\\ +\hline +Cyberspace & 2015 & 151,576 & 1.08\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & 1991 & 128,019 & 0.91\textbackslash{}\%\\ +\hline +Park/Playground & 2010 & 126,604 & 0.90\textbackslash{}\%\\ +\hline +Government/Public Building & 1991 & 95,696 & 0.68\textbackslash{}\%\\ +\hline +Bar/Nightclub & 1991 & 93,809 & 0.67\textbackslash{}\%\\ +\hline +Rental Storage Facility & 1991 & 82,604 & 0.59\textbackslash{}\%\\ +\hline +Shopping Mall & 2009 & 82,576 & 0.59\textbackslash{}\%\\ +\hline +School - College/University & 2009 & 76,897 & 0.55\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & 1991 & 73,706 & 0.53\textbackslash{}\%\\ +\hline +Construction Site & 1991 & 70,901 & 0.51\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & 1991 & 70,663 & 0.50\textbackslash{}\%\\ +\hline +Field/Woods & 1991 & 55,871 & 0.40\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & 1991 & 41,987 & 0.30\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & 2009 & 40,016 & 0.29\textbackslash{}\%\\ +\hline +Liquor Store & 1991 & 36,738 & 0.26\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & 2009 & 32,447 & 0.23\textbackslash{}\%\\ +\hline +School/College & 1991 & 28,906 & 0.21\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & 2010 & 23,112 & 0.17\textbackslash{}\%\\ +\hline +Industrial Site & 2009 & 22,293 & 0.16\textbackslash{}\%\\ +\hline +Community Center & 2012 & 16,542 & 0.12\textbackslash{}\%\\ +\hline +Camp/Campground & 2009 & 12,038 & 0.09\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & 2009 & 10,773 & 0.08\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & 1991 & 10,345 & 0.07\textbackslash{}\%\\ +\hline +Atm Separate From Bank & 2009 & 10,337 & 0.07\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & 2010 & 10,048 & 0.07\textbackslash{}\%\\ +\hline +Farm Facility & 2009 & 9,731 & 0.07\textbackslash{}\%\\ +\hline +Amusement Park & 2010 & 8,171 & 0.06\textbackslash{}\%\\ +\hline +Daycare Facility & 2009 & 7,806 & 0.06\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & 2009 & 7,189 & 0.05\textbackslash{}\%\\ +\hline +Tribal Lands & 2011 & 5,193 & 0.04\textbackslash{}\%\\ +\hline +Rest Area & 2009 & 3,773 & 0.03\textbackslash{}\%\\ +\hline +Military Installation & 2010 & 861 & 0.01\textbackslash{}\%\\ +\hline +Total & - & 13,994,336 & 100\textbackslash{}\%\\ +\hline +\end{longtable} Keep in mind that some locations may be an overly specific location that fits well into a broader category that you are interested in. For example, if you care about crimes that happen in stores you would look at "Bank/Savings and Loan", "Restaurant", "Bar/Nightclub," among other locations, which combined have a lot more offenses than any one individually. This is a recurring theme of NIBRS data - you have a lot of data and some of it is so specific that you need to do extra work to aggregate data into units you want. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseLocation)The most common offenses for each crime location, 2023.
Crime Location Offense \# of Offenses \# of Offenses
Abandoned/Condemned Structure Destruction/Damage/Vandalism of Property 2,515 25.03\%
Abandoned/Condemned Structure Burglary/Breaking And Entering 2,088 20.78\%
Abandoned/Condemned Structure Drug/Narcotic Offenses - Drug/Narcotic Violations 888 8.84\%
Abandoned/Condemned Structure Larceny/Theft Offenses - All Other Larceny 775 7.71\%
Abandoned/Condemned Structure Drug/Narcotic Offenses - Drug Equipment Violations 673 6.70\%
Abandoned/Condemned Structure All Other 3,109 30.97\%
Abandoned/Condemned Structure Total 10,048 100\%
Air/Bus/Train Terminal Larceny/Theft Offenses - All Other Larceny 13,978 19.78\%
Air/Bus/Train Terminal Assault Offenses - Simple Assault 10,822 15.31\%
Air/Bus/Train Terminal Drug/Narcotic Offenses - Drug/Narcotic Violations 7,294 10.32\%
Air/Bus/Train Terminal Destruction/Damage/Vandalism of Property 6,794 9.61\%
Air/Bus/Train Terminal Weapon Law Violations - Weapon Law Violations 5,343 7.56\%
Air/Bus/Train Terminal All Other 26,432 37.39\%
Air/Bus/Train Terminal Total 70,663 100\%
Amusement Park Larceny/Theft Offenses - All Other Larceny 1,717 21.01\%
Amusement Park Assault Offenses - Simple Assault 1,596 19.53\%
Amusement Park Destruction/Damage/Vandalism of Property 644 7.88\%
Amusement Park Larceny/Theft Offenses - Theft From Building 535 6.55\%
Amusement Park Drug/Narcotic Offenses - Drug/Narcotic Violations 518 6.34\%
Amusement Park All Other 3,161 38.7\%
Amusement Park Total 8,171 100\%
Arena/Stadium/Fairgrounds/Coliseum Assault Offenses - Simple Assault 2,780 25.81\%
Arena/Stadium/Fairgrounds/Coliseum Larceny/Theft Offenses - All Other Larceny 1,964 18.23\%
Arena/Stadium/Fairgrounds/Coliseum Destruction/Damage/Vandalism of Property 1,049 9.74\%
Arena/Stadium/Fairgrounds/Coliseum Larceny/Theft Offenses - Theft From Building 624 5.79\%
Arena/Stadium/Fairgrounds/Coliseum Larceny/Theft Offenses - Theft From Motor Vehicle 539 5.00\%
Arena/Stadium/Fairgrounds/Coliseum All Other 3,817 35.42\%
Arena/Stadium/Fairgrounds/Coliseum Total 10,773 100\%
Atm Separate From Bank Fraud Offenses - Credit Card/Atm Fraud 3,239 31.33\%
Atm Separate From Bank Larceny/Theft Offenses - All Other Larceny 1,717 16.61\%
Atm Separate From Bank Fraud Offenses - False Pretenses/Swindle/Confidence Game 1,452 14.05\%
Atm Separate From Bank Destruction/Damage/Vandalism of Property 707 6.84\%
Atm Separate From Bank Fraud Offenses - Identity Theft 653 6.32\%
Atm Separate From Bank All Other 2,569 24.88\%
Atm Separate From Bank Total 10,337 100\%
Auto Dealership New/Used Motor Vehicle Theft 11,146 27.85\%
Auto Dealership New/Used Destruction/Damage/Vandalism of Property 4,947 12.36\%
Auto Dealership New/Used Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 3,745 9.36\%
Auto Dealership New/Used Fraud Offenses - False Pretenses/Swindle/Confidence Game 3,474 8.68\%
Auto Dealership New/Used Larceny/Theft Offenses - All Other Larceny 3,323 8.30\%
Auto Dealership New/Used All Other 13,381 33.36\%
Auto Dealership New/Used Total 40,016 100\%
Bank/Savings And Loan Counterfeiting/Forgery 32,504 25.39\%
Bank/Savings And Loan Fraud Offenses - False Pretenses/Swindle/Confidence Game 26,367 20.60\%
Bank/Savings And Loan Larceny/Theft Offenses - All Other Larceny 16,303 12.74\%
Bank/Savings And Loan Fraud Offenses - Identity Theft 14,902 11.64\%
Bank/Savings And Loan Fraud Offenses - Credit Card/Atm Fraud 10,228 7.99\%
Bank/Savings And Loan All Other 27,713 21.63\%
Bank/Savings And Loan Total 128,017 100\%
Bar/Nightclub Assault Offenses - Simple Assault 29,599 31.55\%
Bar/Nightclub Larceny/Theft Offenses - All Other Larceny 11,411 12.16\%
Bar/Nightclub Assault Offenses - Aggravated Assault 8,895 9.48\%
Bar/Nightclub Destruction/Damage/Vandalism of Property 8,116 8.65\%
Bar/Nightclub Larceny/Theft Offenses - Theft From Building 4,592 4.90\%
Bar/Nightclub All Other 31,194 33.24\%
Bar/Nightclub Total 93,807 100\%
Camp/Campground Larceny/Theft Offenses - All Other Larceny 2,354 19.55\%
Camp/Campground Assault Offenses - Simple Assault 2,183 18.13\%
Camp/Campground Destruction/Damage/Vandalism of Property 1,633 13.57\%
Camp/Campground Assault Offenses - Aggravated Assault 823 6.84\%
Camp/Campground Larceny/Theft Offenses - Theft From Motor Vehicle 733 6.09\%
Camp/Campground All Other 4,312 35.84\%
Camp/Campground Total 12,038 100\%
Church/Synagogue/Temple/Mosque Destruction/Damage/Vandalism of Property 12,249 29.17\%
Church/Synagogue/Temple/Mosque Burglary/Breaking And Entering 6,579 15.67\%
Church/Synagogue/Temple/Mosque Larceny/Theft Offenses - All Other Larceny 5,513 13.13\%
Church/Synagogue/Temple/Mosque Assault Offenses - Simple Assault 2,692 6.41\%
Church/Synagogue/Temple/Mosque Larceny/Theft Offenses - Theft From Motor Vehicle 2,220 5.29\%
Church/Synagogue/Temple/Mosque All Other 12,732 30.27\%
Church/Synagogue/Temple/Mosque Total 41,985 100\%
Commercial/Office Building Destruction/Damage/Vandalism of Property 52,381 17.58\%
Commercial/Office Building Larceny/Theft Offenses - All Other Larceny 47,767 16.03\%
Commercial/Office Building Burglary/Breaking And Entering 42,551 14.28\%
Commercial/Office Building Motor Vehicle Theft 16,307 5.47\%
Commercial/Office Building Larceny/Theft Offenses - Shoplifting 16,277 5.46\%
Commercial/Office Building All Other 122,678 41.17\%
Commercial/Office Building Total 297,961 100\%
Community Center Larceny/Theft Offenses - All Other Larceny 3,245 19.62\%
Community Center Destruction/Damage/Vandalism of Property 2,882 17.42\%
Community Center Assault Offenses - Simple Assault 2,468 14.92\%
Community Center Larceny/Theft Offenses - Theft From Building 1,855 11.21\%
Community Center Burglary/Breaking And Entering 1,135 6.86\%
Community Center All Other 4,957 29.97\%
Community Center Total 16,542 100\%
Construction Site Larceny/Theft Offenses - All Other Larceny 29,510 41.62\%
Construction Site Burglary/Breaking And Entering 12,990 18.32\%
Construction Site Destruction/Damage/Vandalism of Property 10,942 15.43\%
Construction Site Larceny/Theft Offenses - Theft From Building 3,756 5.30\%
Construction Site Motor Vehicle Theft 2,606 3.68\%
Construction Site All Other 11,097 15.65\%
Construction Site Total 70,901 100\%
Convenience Store Larceny/Theft Offenses - Shoplifting 104,229 34.15\%
Convenience Store Larceny/Theft Offenses - All Other Larceny 35,883 11.76\%
Convenience Store Assault Offenses - Simple Assault 20,831 6.83\%
Convenience Store Drug/Narcotic Offenses - Drug/Narcotic Violations 17,963 5.89\%
Convenience Store Destruction/Damage/Vandalism of Property 16,685 5.47\%
Convenience Store All Other 109,593 35.89\%
Convenience Store Total 305,184 100\%
Cyberspace Fraud Offenses - False Pretenses/Swindle/Confidence Game 36,262 23.92\%
Cyberspace Fraud Offenses - Identity Theft 31,022 20.47\%
Cyberspace Assault Offenses - Intimidation 20,660 13.63\%
Cyberspace Fraud Offenses - Credit Card/Atm Fraud 16,030 10.58\%
Cyberspace Fraud Offenses - Wire Fraud 14,962 9.87\%
Cyberspace All Other 32,640 21.56\%
Cyberspace Total 151,576 100\%
Daycare Facility Assault Offenses - Simple Assault 2,274 29.13\%
Daycare Facility Destruction/Damage/Vandalism of Property 1,036 13.27\%
Daycare Facility Larceny/Theft Offenses - Theft From Motor Vehicle 643 8.24\%
Daycare Facility Larceny/Theft Offenses - All Other Larceny 639 8.19\%
Daycare Facility Burglary/Breaking And Entering 625 8.01\%
Daycare Facility All Other 2,589 33.16\%
Daycare Facility Total 7,806 100\%
Department/Discount Store Larceny/Theft Offenses - Shoplifting 363,609 61.49\%
Department/Discount Store Larceny/Theft Offenses - All Other Larceny 57,555 9.73\%
Department/Discount Store Fraud Offenses - False Pretenses/Swindle/Confidence Game 20,310 3.43\%
Department/Discount Store Fraud Offenses - Credit Card/Atm Fraud 17,512 2.96\%
Department/Discount Store Larceny/Theft Offenses - Theft From Building 14,336 2.42\%
Department/Discount Store All Other 118,006 19.93\%
Department/Discount Store Total 591,328 100\%
Dock/Wharf/Freight/Modal Terminal Larceny/Theft Offenses - All Other Larceny 1,733 24.11\%
Dock/Wharf/Freight/Modal Terminal Drug/Narcotic Offenses - Drug/Narcotic Violations 1,436 19.97\%
Dock/Wharf/Freight/Modal Terminal Destruction/Damage/Vandalism of Property 688 9.57\%
Dock/Wharf/Freight/Modal Terminal Assault Offenses - Simple Assault 682 9.49\%
Dock/Wharf/Freight/Modal Terminal Burglary/Breaking And Entering 407 5.66\%
Dock/Wharf/Freight/Modal Terminal All Other 2,243 31.2\%
Dock/Wharf/Freight/Modal Terminal Total 7,189 100\%
Drug Store/Doctors Office/Hospital Larceny/Theft Offenses - Shoplifting 41,385 23.96\%
Drug Store/Doctors Office/Hospital Assault Offenses - Simple Assault 38,541 22.31\%
Drug Store/Doctors Office/Hospital Larceny/Theft Offenses - All Other Larceny 14,910 8.63\%
Drug Store/Doctors Office/Hospital Destruction/Damage/Vandalism of Property 11,582 6.70\%
Drug Store/Doctors Office/Hospital Assault Offenses - Intimidation 9,249 5.35\%
Drug Store/Doctors Office/Hospital All Other 57,079 33.04\%
Drug Store/Doctors Office/Hospital Total 172,746 100\%
Farm Facility Larceny/Theft Offenses - All Other Larceny 2,695 27.69\%
Farm Facility Burglary/Breaking And Entering 1,749 17.97\%
Farm Facility Destruction/Damage/Vandalism of Property 1,645 16.90\%
Farm Facility Motor Vehicle Theft 983 10.10\%
Farm Facility Larceny/Theft Offenses - Theft From Building 466 4.79\%
Farm Facility All Other 2,193 22.52\%
Farm Facility Total 9,731 100\%
Field/Woods Larceny/Theft Offenses - All Other Larceny 12,087 21.63\%
Field/Woods Destruction/Damage/Vandalism of Property 9,031 16.16\%
Field/Woods Drug/Narcotic Offenses - Drug/Narcotic Violations 5,293 9.47\%
Field/Woods Assault Offenses - Simple Assault 5,032 9.01\%
Field/Woods Motor Vehicle Theft 3,257 5.83\%
Field/Woods All Other 21,170 37.91\%
Field/Woods Total 55,870 100\%
Gambling Facility/Casino/Race Track Larceny/Theft Offenses - All Other Larceny 6,001 18.49\%
Gambling Facility/Casino/Race Track Drug/Narcotic Offenses - Drug/Narcotic Violations 4,170 12.85\%
Gambling Facility/Casino/Race Track Assault Offenses - Simple Assault 3,713 11.44\%
Gambling Facility/Casino/Race Track Larceny/Theft Offenses - Theft From Building 2,858 8.81\%
Gambling Facility/Casino/Race Track Counterfeiting/Forgery 1,961 6.04\%
Gambling Facility/Casino/Race Track All Other 13,744 42.36\%
Gambling Facility/Casino/Race Track Total 32,447 100\%
Government/Public Building Destruction/Damage/Vandalism of Property 14,995 15.67\%
Government/Public Building Larceny/Theft Offenses - All Other Larceny 12,550 13.11\%
Government/Public Building Assault Offenses - Simple Assault 11,560 12.08\%
Government/Public Building Drug/Narcotic Offenses - Drug/Narcotic Violations 9,040 9.45\%
Government/Public Building Assault Offenses - Intimidation 7,485 7.82\%
Government/Public Building All Other 40,064 41.86\%
Government/Public Building Total 95,694 100\%
Grocery/Supermarket Larceny/Theft Offenses - Shoplifting 168,193 52.07\%
Grocery/Supermarket Larceny/Theft Offenses - All Other Larceny 42,608 13.19\%
Grocery/Supermarket Assault Offenses - Simple Assault 12,831 3.97\%
Grocery/Supermarket Fraud Offenses - Credit Card/Atm Fraud 10,724 3.32\%
Grocery/Supermarket Fraud Offenses - False Pretenses/Swindle/Confidence Game 9,126 2.83\%
Grocery/Supermarket All Other 79,509 24.62\%
Grocery/Supermarket Total 322,991 100\%
Highway/Road/Alley/Street/Sidewalk Drug/Narcotic Offenses - Drug/Narcotic Violations 562,590 22.64\%
Highway/Road/Alley/Street/Sidewalk Destruction/Damage/Vandalism of Property 283,207 11.39\%
Highway/Road/Alley/Street/Sidewalk Drug/Narcotic Offenses - Drug Equipment Violations 264,734 10.65\%
Highway/Road/Alley/Street/Sidewalk Motor Vehicle Theft 255,631 10.29\%
Highway/Road/Alley/Street/Sidewalk Assault Offenses - Simple Assault 206,086 8.29\%
Highway/Road/Alley/Street/Sidewalk All Other 913,163 36.78\%
Highway/Road/Alley/Street/Sidewalk Total 2,485,411 100\%
Hotel/Motel/Etc. Assault Offenses - Simple Assault 38,480 17.62\%
Hotel/Motel/Etc. Larceny/Theft Offenses - All Other Larceny 22,401 10.26\%
Hotel/Motel/Etc. Destruction/Damage/Vandalism of Property 21,998 10.08\%
Hotel/Motel/Etc. Drug/Narcotic Offenses - Drug/Narcotic Violations 20,281 9.29\%
Hotel/Motel/Etc. Larceny/Theft Offenses - Theft From Motor Vehicle 19,255 8.82\%
Hotel/Motel/Etc. All Other 95,927 43.97\%
Hotel/Motel/Etc. Total 218,342 100\%
Industrial Site Larceny/Theft Offenses - All Other Larceny 5,921 26.56\%
Industrial Site Destruction/Damage/Vandalism of Property 3,870 17.36\%
Industrial Site Burglary/Breaking And Entering 3,173 14.23\%
Industrial Site Assault Offenses - Simple Assault 1,399 6.28\%
Industrial Site Motor Vehicle Theft 1,277 5.73\%
Industrial Site All Other 6,652 29.79\%
Industrial Site Total 22,292 100\%
Jail/Prison/Penitentiary/Corrections Facility Assault Offenses - Simple Assault 29,336 39.80\%
Jail/Prison/Penitentiary/Corrections Facility Drug/Narcotic Offenses - Drug/Narcotic Violations 18,588 25.22\%
Jail/Prison/Penitentiary/Corrections Facility Assault Offenses - Aggravated Assault 6,797 9.22\%
Jail/Prison/Penitentiary/Corrections Facility Destruction/Damage/Vandalism of Property 6,036 8.19\%
Jail/Prison/Penitentiary/Corrections Facility Assault Offenses - Intimidation 2,886 3.92\%
Jail/Prison/Penitentiary/Corrections Facility All Other 10,063 13.68\%
Jail/Prison/Penitentiary/Corrections Facility Total 73,706 100\%
Lake/Waterway/Beach Larceny/Theft Offenses - All Other Larceny 2,870 27.74\%
Lake/Waterway/Beach Assault Offenses - Simple Assault 1,335 12.90\%
Lake/Waterway/Beach Destruction/Damage/Vandalism of Property 1,235 11.94\%
Lake/Waterway/Beach Drug/Narcotic Offenses - Drug/Narcotic Violations 956 9.24\%
Lake/Waterway/Beach Larceny/Theft Offenses - Theft From Motor Vehicle 699 6.76\%
Lake/Waterway/Beach All Other 3,250 31.39\%
Lake/Waterway/Beach Total 10,345 100\%
Liquor Store Larceny/Theft Offenses - Shoplifting 19,689 53.60\%
Liquor Store Burglary/Breaking And Entering 2,453 6.68\%
Liquor Store Larceny/Theft Offenses - All Other Larceny 2,420 6.59\%
Liquor Store Destruction/Damage/Vandalism of Property 2,221 6.05\%
Liquor Store Assault Offenses - Simple Assault 1,554 4.23\%
Liquor Store All Other 8,399 22.82\%
Liquor Store Total 36,736 100\%
Military Installation Larceny/Theft Offenses - All Other Larceny 186 21.60\%
Military Installation Destruction/Damage/Vandalism of Property 95 11.03\%
Military Installation Assault Offenses - Simple Assault 80 9.29\%
Military Installation Assault Offenses - Intimidation 76 8.83\%
Military Installation Burglary/Breaking And Entering 45 5.23\%
Military Installation All Other 379 44.04\%
Military Installation Total 861 100\%
Other/Unknown Larceny/Theft Offenses - All Other Larceny 115,019 16.44\%
Other/Unknown Destruction/Damage/Vandalism of Property 73,195 10.46\%
Other/Unknown Assault Offenses - Simple Assault 56,187 8.03\%
Other/Unknown Larceny/Theft Offenses - Shoplifting 45,609 6.52\%
Other/Unknown Assault Offenses - Intimidation 36,283 5.18\%
Other/Unknown All Other 373,527 53.37\%
Other/Unknown Total 699,820 100\%
Park/Playground Destruction/Damage/Vandalism of Property 27,650 21.84\%
Park/Playground Assault Offenses - Simple Assault 19,055 15.05\%
Park/Playground Larceny/Theft Offenses - All Other Larceny 13,991 11.05\%
Park/Playground Drug/Narcotic Offenses - Drug/Narcotic Violations 13,094 10.34\%
Park/Playground Larceny/Theft Offenses - Theft From Motor Vehicle 10,678 8.43\%
Park/Playground All Other 42,136 33.28\%
Park/Playground Total 126,604 100\%
Parking Lot/Drop Lot/Parking Garage Larceny/Theft Offenses - Theft From Motor Vehicle 273,500 21.39\%
Parking Lot/Drop Lot/Parking Garage Destruction/Damage/Vandalism of Property 247,701 19.37\%
Parking Lot/Drop Lot/Parking Garage Motor Vehicle Theft 213,331 16.69\%
Parking Lot/Drop Lot/Parking Garage Drug/Narcotic Offenses - Drug/Narcotic Violations 86,283 6.75\%
Parking Lot/Drop Lot/Parking Garage Larceny/Theft Offenses - All Other Larceny 83,482 6.53\%
Parking Lot/Drop Lot/Parking Garage All Other 374,266 29.23\%
Parking Lot/Drop Lot/Parking Garage Total 1,278,563 100\%
Rental Storage Facility Burglary/Breaking And Entering 38,005 46.01\%
Rental Storage Facility Destruction/Damage/Vandalism of Property 11,438 13.85\%
Rental Storage Facility Larceny/Theft Offenses - All Other Larceny 9,848 11.92\%
Rental Storage Facility Motor Vehicle Theft 4,787 5.80\%
Rental Storage Facility Larceny/Theft Offenses - Theft From Building 4,275 5.18\%
Rental Storage Facility All Other 14,250 17.26\%
Rental Storage Facility Total 82,603 100\%
Residence/Home Assault Offenses - Simple Assault 1,149,864 22.18\%
Residence/Home Destruction/Damage/Vandalism of Property 680,051 13.12\%
Residence/Home Larceny/Theft Offenses - All Other Larceny 579,384 11.18\%
Residence/Home Burglary/Breaking And Entering 383,775 7.40\%
Residence/Home Assault Offenses - Intimidation 346,951 6.69\%
Residence/Home All Other 2,043,859 39.43\%
Residence/Home Total 5,183,884 100\%
Rest Area Destruction/Damage/Vandalism of Property 643 17.04\%
Rest Area Larceny/Theft Offenses - All Other Larceny 541 14.34\%
Rest Area Assault Offenses - Simple Assault 530 14.05\%
Rest Area Drug/Narcotic Offenses - Drug/Narcotic Violations 357 9.46\%
Rest Area Larceny/Theft Offenses - Theft From Motor Vehicle 277 7.34\%
Rest Area All Other 1,425 37.78\%
Rest Area Total 3,773 100\%
Restaurant Larceny/Theft Offenses - All Other Larceny 33,432 14.97\%
Restaurant Assault Offenses - Simple Assault 31,827 14.25\%
Restaurant Destruction/Damage/Vandalism of Property 27,812 12.46\%
Restaurant Burglary/Breaking And Entering 23,384 10.47\%
Restaurant Larceny/Theft Offenses - Theft From Building 13,008 5.83\%
Restaurant All Other 93,831 42.01\%
Restaurant Total 223,294 100\%
School - College/University Larceny/Theft Offenses - All Other Larceny 16,802 21.85\%
School - College/University Destruction/Damage/Vandalism of Property 13,211 17.18\%
School - College/University Assault Offenses - Simple Assault 8,648 11.25\%
School - College/University Larceny/Theft Offenses - Theft From Building 6,806 8.85\%
School - College/University Drug/Narcotic Offenses - Drug/Narcotic Violations 5,410 7.04\%
School - College/University All Other 26,020 33.8\%
School - College/University Total 76,897 100\%
School - Elementary/Secondary Assault Offenses - Simple Assault 84,826 33.15\%
School - Elementary/Secondary Drug/Narcotic Offenses - Drug/Narcotic Violations 44,891 17.54\%
School - Elementary/Secondary Assault Offenses - Intimidation 28,122 10.99\%
School - Elementary/Secondary Destruction/Damage/Vandalism of Property 18,045 7.05\%
School - Elementary/Secondary Larceny/Theft Offenses - All Other Larceny 16,527 6.46\%
School - Elementary/Secondary All Other 63,509 24.83\%
School - Elementary/Secondary Total 255,920 100\%
School/College Assault Offenses - Simple Assault 7,881 27.26\%
School/College Drug/Narcotic Offenses - Drug/Narcotic Violations 4,103 14.19\%
School/College Larceny/Theft Offenses - All Other Larceny 3,256 11.26\%
School/College Destruction/Damage/Vandalism of Property 2,799 9.68\%
School/College Assault Offenses - Intimidation 2,689 9.30\%
School/College All Other 8,178 28.27\%
School/College Total 28,906 100\%
Service/Gas Station Larceny/Theft Offenses - Shoplifting 31,892 16.67\%
Service/Gas Station Larceny/Theft Offenses - All Other Larceny 27,148 14.19\%
Service/Gas Station Drug/Narcotic Offenses - Drug/Narcotic Violations 15,847 8.28\%
Service/Gas Station Assault Offenses - Simple Assault 15,585 8.15\%
Service/Gas Station Destruction/Damage/Vandalism of Property 13,950 7.29\%
Service/Gas Station All Other 86,861 45.38\%
Service/Gas Station Total 191,283 100\%
Shelter - Mission/Homeless Assault Offenses - Simple Assault 6,861 29.69\%
Shelter - Mission/Homeless Assault Offenses - Intimidation 3,874 16.76\%
Shelter - Mission/Homeless Larceny/Theft Offenses - All Other Larceny 2,884 12.48\%
Shelter - Mission/Homeless Assault Offenses - Aggravated Assault 1,865 8.07\%
Shelter - Mission/Homeless Larceny/Theft Offenses - Theft From Building 1,707 7.39\%
Shelter - Mission/Homeless All Other 5,921 25.61\%
Shelter - Mission/Homeless Total 23,112 100\%
Shopping Mall Larceny/Theft Offenses - Shoplifting 34,875 42.24\%
Shopping Mall Larceny/Theft Offenses - All Other Larceny 9,019 10.92\%
Shopping Mall Assault Offenses - Simple Assault 4,750 5.75\%
Shopping Mall Destruction/Damage/Vandalism of Property 4,523 5.48\%
Shopping Mall Assault Offenses - Intimidation 2,964 3.59\%
Shopping Mall All Other 26,442 32.03\%
Shopping Mall Total 82,573 100\%
Specialty Store (Tv, Fur, Etc.) Larceny/Theft Offenses - Shoplifting 122,489 38.26\%
Specialty Store (Tv, Fur, Etc.) Larceny/Theft Offenses - All Other Larceny 35,389 11.05\%
Specialty Store (Tv, Fur, Etc.) Destruction/Damage/Vandalism of Property 24,886 7.77\%
Specialty Store (Tv, Fur, Etc.) Burglary/Breaking And Entering 24,731 7.72\%
Specialty Store (Tv, Fur, Etc.) Fraud Offenses - False Pretenses/Swindle/Confidence Game 16,482 5.15\%
Specialty Store (Tv, Fur, Etc.) All Other 96,174 30.03\%
Specialty Store (Tv, Fur, Etc.) Total 320,151 100\%
Tribal Lands Drug/Narcotic Offenses - Drug/Narcotic Violations 658 12.67\%
Tribal Lands Assault Offenses - Simple Assault 604 11.63\%
Tribal Lands Destruction/Damage/Vandalism of Property 589 11.34\%
Tribal Lands Motor Vehicle Theft 509 9.80\%
Tribal Lands Assault Offenses - Aggravated Assault 390 7.51\%
Tribal Lands All Other 2,443 47.04\%
Tribal Lands Total 5,193 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseLocation)The most common offenses for each crime location, 2023.}\\ +\hline +Crime Location & Offense & \textbackslash{}\# of Offenses & \textbackslash{}\# of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseLocation)The most common offenses for each crime location, 2023. \textit{(continued)}}\\ +\hline +Crime Location & Offense & \textbackslash{}\# of Offenses & \textbackslash{}\# of Offenses\\ +\hline +\endhead +Abandoned/Condemned Structure & Destruction/Damage/Vandalism of Property & 2,515 & 25.03\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Burglary/Breaking And Entering & 2,088 & 20.78\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Drug/Narcotic Offenses - Drug/Narcotic Violations & 888 & 8.84\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Larceny/Theft Offenses - All Other Larceny & 775 & 7.71\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Drug/Narcotic Offenses - Drug Equipment Violations & 673 & 6.70\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & All Other & 3,109 & 30.97\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Total & 10,048 & 100\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Larceny/Theft Offenses - All Other Larceny & 13,978 & 19.78\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Assault Offenses - Simple Assault & 10,822 & 15.31\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Drug/Narcotic Offenses - Drug/Narcotic Violations & 7,294 & 10.32\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Destruction/Damage/Vandalism of Property & 6,794 & 9.61\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Weapon Law Violations - Weapon Law Violations & 5,343 & 7.56\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & All Other & 26,432 & 37.39\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Total & 70,663 & 100\textbackslash{}\%\\ +\hline +Amusement Park & Larceny/Theft Offenses - All Other Larceny & 1,717 & 21.01\textbackslash{}\%\\ +\hline +Amusement Park & Assault Offenses - Simple Assault & 1,596 & 19.53\textbackslash{}\%\\ +\hline +Amusement Park & Destruction/Damage/Vandalism of Property & 644 & 7.88\textbackslash{}\%\\ +\hline +Amusement Park & Larceny/Theft Offenses - Theft From Building & 535 & 6.55\textbackslash{}\%\\ +\hline +Amusement Park & Drug/Narcotic Offenses - Drug/Narcotic Violations & 518 & 6.34\textbackslash{}\%\\ +\hline +Amusement Park & All Other & 3,161 & 38.7\textbackslash{}\%\\ +\hline +Amusement Park & Total & 8,171 & 100\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Assault Offenses - Simple Assault & 2,780 & 25.81\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Larceny/Theft Offenses - All Other Larceny & 1,964 & 18.23\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Destruction/Damage/Vandalism of Property & 1,049 & 9.74\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Larceny/Theft Offenses - Theft From Building & 624 & 5.79\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Larceny/Theft Offenses - Theft From Motor Vehicle & 539 & 5.00\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & All Other & 3,817 & 35.42\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Total & 10,773 & 100\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Fraud Offenses - Credit Card/Atm Fraud & 3,239 & 31.33\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Larceny/Theft Offenses - All Other Larceny & 1,717 & 16.61\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 1,452 & 14.05\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Destruction/Damage/Vandalism of Property & 707 & 6.84\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Fraud Offenses - Identity Theft & 653 & 6.32\textbackslash{}\%\\ +\hline +Atm Separate From Bank & All Other & 2,569 & 24.88\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Total & 10,337 & 100\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Motor Vehicle Theft & 11,146 & 27.85\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Destruction/Damage/Vandalism of Property & 4,947 & 12.36\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 3,745 & 9.36\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 3,474 & 8.68\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Larceny/Theft Offenses - All Other Larceny & 3,323 & 8.30\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & All Other & 13,381 & 33.36\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Total & 40,016 & 100\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Counterfeiting/Forgery & 32,504 & 25.39\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 26,367 & 20.60\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Larceny/Theft Offenses - All Other Larceny & 16,303 & 12.74\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Fraud Offenses - Identity Theft & 14,902 & 11.64\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Fraud Offenses - Credit Card/Atm Fraud & 10,228 & 7.99\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & All Other & 27,713 & 21.63\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Total & 128,017 & 100\textbackslash{}\%\\ +\hline +Bar/Nightclub & Assault Offenses - Simple Assault & 29,599 & 31.55\textbackslash{}\%\\ +\hline +Bar/Nightclub & Larceny/Theft Offenses - All Other Larceny & 11,411 & 12.16\textbackslash{}\%\\ +\hline +Bar/Nightclub & Assault Offenses - Aggravated Assault & 8,895 & 9.48\textbackslash{}\%\\ +\hline +Bar/Nightclub & Destruction/Damage/Vandalism of Property & 8,116 & 8.65\textbackslash{}\%\\ +\hline +Bar/Nightclub & Larceny/Theft Offenses - Theft From Building & 4,592 & 4.90\textbackslash{}\%\\ +\hline +Bar/Nightclub & All Other & 31,194 & 33.24\textbackslash{}\%\\ +\hline +Bar/Nightclub & Total & 93,807 & 100\textbackslash{}\%\\ +\hline +Camp/Campground & Larceny/Theft Offenses - All Other Larceny & 2,354 & 19.55\textbackslash{}\%\\ +\hline +Camp/Campground & Assault Offenses - Simple Assault & 2,183 & 18.13\textbackslash{}\%\\ +\hline +Camp/Campground & Destruction/Damage/Vandalism of Property & 1,633 & 13.57\textbackslash{}\%\\ +\hline +Camp/Campground & Assault Offenses - Aggravated Assault & 823 & 6.84\textbackslash{}\%\\ +\hline +Camp/Campground & Larceny/Theft Offenses - Theft From Motor Vehicle & 733 & 6.09\textbackslash{}\%\\ +\hline +Camp/Campground & All Other & 4,312 & 35.84\textbackslash{}\%\\ +\hline +Camp/Campground & Total & 12,038 & 100\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Destruction/Damage/Vandalism of Property & 12,249 & 29.17\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Burglary/Breaking And Entering & 6,579 & 15.67\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Larceny/Theft Offenses - All Other Larceny & 5,513 & 13.13\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Assault Offenses - Simple Assault & 2,692 & 6.41\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Larceny/Theft Offenses - Theft From Motor Vehicle & 2,220 & 5.29\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & All Other & 12,732 & 30.27\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Total & 41,985 & 100\textbackslash{}\%\\ +\hline +Commercial/Office Building & Destruction/Damage/Vandalism of Property & 52,381 & 17.58\textbackslash{}\%\\ +\hline +Commercial/Office Building & Larceny/Theft Offenses - All Other Larceny & 47,767 & 16.03\textbackslash{}\%\\ +\hline +Commercial/Office Building & Burglary/Breaking And Entering & 42,551 & 14.28\textbackslash{}\%\\ +\hline +Commercial/Office Building & Motor Vehicle Theft & 16,307 & 5.47\textbackslash{}\%\\ +\hline +Commercial/Office Building & Larceny/Theft Offenses - Shoplifting & 16,277 & 5.46\textbackslash{}\%\\ +\hline +Commercial/Office Building & All Other & 122,678 & 41.17\textbackslash{}\%\\ +\hline +Commercial/Office Building & Total & 297,961 & 100\textbackslash{}\%\\ +\hline +Community Center & Larceny/Theft Offenses - All Other Larceny & 3,245 & 19.62\textbackslash{}\%\\ +\hline +Community Center & Destruction/Damage/Vandalism of Property & 2,882 & 17.42\textbackslash{}\%\\ +\hline +Community Center & Assault Offenses - Simple Assault & 2,468 & 14.92\textbackslash{}\%\\ +\hline +Community Center & Larceny/Theft Offenses - Theft From Building & 1,855 & 11.21\textbackslash{}\%\\ +\hline +Community Center & Burglary/Breaking And Entering & 1,135 & 6.86\textbackslash{}\%\\ +\hline +Community Center & All Other & 4,957 & 29.97\textbackslash{}\%\\ +\hline +Community Center & Total & 16,542 & 100\textbackslash{}\%\\ +\hline +Construction Site & Larceny/Theft Offenses - All Other Larceny & 29,510 & 41.62\textbackslash{}\%\\ +\hline +Construction Site & Burglary/Breaking And Entering & 12,990 & 18.32\textbackslash{}\%\\ +\hline +Construction Site & Destruction/Damage/Vandalism of Property & 10,942 & 15.43\textbackslash{}\%\\ +\hline +Construction Site & Larceny/Theft Offenses - Theft From Building & 3,756 & 5.30\textbackslash{}\%\\ +\hline +Construction Site & Motor Vehicle Theft & 2,606 & 3.68\textbackslash{}\%\\ +\hline +Construction Site & All Other & 11,097 & 15.65\textbackslash{}\%\\ +\hline +Construction Site & Total & 70,901 & 100\textbackslash{}\%\\ +\hline +Convenience Store & Larceny/Theft Offenses - Shoplifting & 104,229 & 34.15\textbackslash{}\%\\ +\hline +Convenience Store & Larceny/Theft Offenses - All Other Larceny & 35,883 & 11.76\textbackslash{}\%\\ +\hline +Convenience Store & Assault Offenses - Simple Assault & 20,831 & 6.83\textbackslash{}\%\\ +\hline +Convenience Store & Drug/Narcotic Offenses - Drug/Narcotic Violations & 17,963 & 5.89\textbackslash{}\%\\ +\hline +Convenience Store & Destruction/Damage/Vandalism of Property & 16,685 & 5.47\textbackslash{}\%\\ +\hline +Convenience Store & All Other & 109,593 & 35.89\textbackslash{}\%\\ +\hline +Convenience Store & Total & 305,184 & 100\textbackslash{}\%\\ +\hline +Cyberspace & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 36,262 & 23.92\textbackslash{}\%\\ +\hline +Cyberspace & Fraud Offenses - Identity Theft & 31,022 & 20.47\textbackslash{}\%\\ +\hline +Cyberspace & Assault Offenses - Intimidation & 20,660 & 13.63\textbackslash{}\%\\ +\hline +Cyberspace & Fraud Offenses - Credit Card/Atm Fraud & 16,030 & 10.58\textbackslash{}\%\\ +\hline +Cyberspace & Fraud Offenses - Wire Fraud & 14,962 & 9.87\textbackslash{}\%\\ +\hline +Cyberspace & All Other & 32,640 & 21.56\textbackslash{}\%\\ +\hline +Cyberspace & Total & 151,576 & 100\textbackslash{}\%\\ +\hline +Daycare Facility & Assault Offenses - Simple Assault & 2,274 & 29.13\textbackslash{}\%\\ +\hline +Daycare Facility & Destruction/Damage/Vandalism of Property & 1,036 & 13.27\textbackslash{}\%\\ +\hline +Daycare Facility & Larceny/Theft Offenses - Theft From Motor Vehicle & 643 & 8.24\textbackslash{}\%\\ +\hline +Daycare Facility & Larceny/Theft Offenses - All Other Larceny & 639 & 8.19\textbackslash{}\%\\ +\hline +Daycare Facility & Burglary/Breaking And Entering & 625 & 8.01\textbackslash{}\%\\ +\hline +Daycare Facility & All Other & 2,589 & 33.16\textbackslash{}\%\\ +\hline +Daycare Facility & Total & 7,806 & 100\textbackslash{}\%\\ +\hline +Department/Discount Store & Larceny/Theft Offenses - Shoplifting & 363,609 & 61.49\textbackslash{}\%\\ +\hline +Department/Discount Store & Larceny/Theft Offenses - All Other Larceny & 57,555 & 9.73\textbackslash{}\%\\ +\hline +Department/Discount Store & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 20,310 & 3.43\textbackslash{}\%\\ +\hline +Department/Discount Store & Fraud Offenses - Credit Card/Atm Fraud & 17,512 & 2.96\textbackslash{}\%\\ +\hline +Department/Discount Store & Larceny/Theft Offenses - Theft From Building & 14,336 & 2.42\textbackslash{}\%\\ +\hline +Department/Discount Store & All Other & 118,006 & 19.93\textbackslash{}\%\\ +\hline +Department/Discount Store & Total & 591,328 & 100\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Larceny/Theft Offenses - All Other Larceny & 1,733 & 24.11\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Drug/Narcotic Offenses - Drug/Narcotic Violations & 1,436 & 19.97\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Destruction/Damage/Vandalism of Property & 688 & 9.57\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Assault Offenses - Simple Assault & 682 & 9.49\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Burglary/Breaking And Entering & 407 & 5.66\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & All Other & 2,243 & 31.2\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Total & 7,189 & 100\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Larceny/Theft Offenses - Shoplifting & 41,385 & 23.96\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Assault Offenses - Simple Assault & 38,541 & 22.31\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Larceny/Theft Offenses - All Other Larceny & 14,910 & 8.63\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Destruction/Damage/Vandalism of Property & 11,582 & 6.70\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Assault Offenses - Intimidation & 9,249 & 5.35\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & All Other & 57,079 & 33.04\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Total & 172,746 & 100\textbackslash{}\%\\ +\hline +Farm Facility & Larceny/Theft Offenses - All Other Larceny & 2,695 & 27.69\textbackslash{}\%\\ +\hline +Farm Facility & Burglary/Breaking And Entering & 1,749 & 17.97\textbackslash{}\%\\ +\hline +Farm Facility & Destruction/Damage/Vandalism of Property & 1,645 & 16.90\textbackslash{}\%\\ +\hline +Farm Facility & Motor Vehicle Theft & 983 & 10.10\textbackslash{}\%\\ +\hline +Farm Facility & Larceny/Theft Offenses - Theft From Building & 466 & 4.79\textbackslash{}\%\\ +\hline +Farm Facility & All Other & 2,193 & 22.52\textbackslash{}\%\\ +\hline +Farm Facility & Total & 9,731 & 100\textbackslash{}\%\\ +\hline +Field/Woods & Larceny/Theft Offenses - All Other Larceny & 12,087 & 21.63\textbackslash{}\%\\ +\hline +Field/Woods & Destruction/Damage/Vandalism of Property & 9,031 & 16.16\textbackslash{}\%\\ +\hline +Field/Woods & Drug/Narcotic Offenses - Drug/Narcotic Violations & 5,293 & 9.47\textbackslash{}\%\\ +\hline +Field/Woods & Assault Offenses - Simple Assault & 5,032 & 9.01\textbackslash{}\%\\ +\hline +Field/Woods & Motor Vehicle Theft & 3,257 & 5.83\textbackslash{}\%\\ +\hline +Field/Woods & All Other & 21,170 & 37.91\textbackslash{}\%\\ +\hline +Field/Woods & Total & 55,870 & 100\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Larceny/Theft Offenses - All Other Larceny & 6,001 & 18.49\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Drug/Narcotic Offenses - Drug/Narcotic Violations & 4,170 & 12.85\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Assault Offenses - Simple Assault & 3,713 & 11.44\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Larceny/Theft Offenses - Theft From Building & 2,858 & 8.81\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Counterfeiting/Forgery & 1,961 & 6.04\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & All Other & 13,744 & 42.36\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Total & 32,447 & 100\textbackslash{}\%\\ +\hline +Government/Public Building & Destruction/Damage/Vandalism of Property & 14,995 & 15.67\textbackslash{}\%\\ +\hline +Government/Public Building & Larceny/Theft Offenses - All Other Larceny & 12,550 & 13.11\textbackslash{}\%\\ +\hline +Government/Public Building & Assault Offenses - Simple Assault & 11,560 & 12.08\textbackslash{}\%\\ +\hline +Government/Public Building & Drug/Narcotic Offenses - Drug/Narcotic Violations & 9,040 & 9.45\textbackslash{}\%\\ +\hline +Government/Public Building & Assault Offenses - Intimidation & 7,485 & 7.82\textbackslash{}\%\\ +\hline +Government/Public Building & All Other & 40,064 & 41.86\textbackslash{}\%\\ +\hline +Government/Public Building & Total & 95,694 & 100\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Larceny/Theft Offenses - Shoplifting & 168,193 & 52.07\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Larceny/Theft Offenses - All Other Larceny & 42,608 & 13.19\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Assault Offenses - Simple Assault & 12,831 & 3.97\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Fraud Offenses - Credit Card/Atm Fraud & 10,724 & 3.32\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 9,126 & 2.83\textbackslash{}\%\\ +\hline +Grocery/Supermarket & All Other & 79,509 & 24.62\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Total & 322,991 & 100\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Drug/Narcotic Offenses - Drug/Narcotic Violations & 562,590 & 22.64\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Destruction/Damage/Vandalism of Property & 283,207 & 11.39\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Drug/Narcotic Offenses - Drug Equipment Violations & 264,734 & 10.65\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Motor Vehicle Theft & 255,631 & 10.29\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Assault Offenses - Simple Assault & 206,086 & 8.29\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & All Other & 913,163 & 36.78\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Total & 2,485,411 & 100\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Assault Offenses - Simple Assault & 38,480 & 17.62\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Larceny/Theft Offenses - All Other Larceny & 22,401 & 10.26\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Destruction/Damage/Vandalism of Property & 21,998 & 10.08\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Drug/Narcotic Offenses - Drug/Narcotic Violations & 20,281 & 9.29\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Larceny/Theft Offenses - Theft From Motor Vehicle & 19,255 & 8.82\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & All Other & 95,927 & 43.97\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Total & 218,342 & 100\textbackslash{}\%\\ +\hline +Industrial Site & Larceny/Theft Offenses - All Other Larceny & 5,921 & 26.56\textbackslash{}\%\\ +\hline +Industrial Site & Destruction/Damage/Vandalism of Property & 3,870 & 17.36\textbackslash{}\%\\ +\hline +Industrial Site & Burglary/Breaking And Entering & 3,173 & 14.23\textbackslash{}\%\\ +\hline +Industrial Site & Assault Offenses - Simple Assault & 1,399 & 6.28\textbackslash{}\%\\ +\hline +Industrial Site & Motor Vehicle Theft & 1,277 & 5.73\textbackslash{}\%\\ +\hline +Industrial Site & All Other & 6,652 & 29.79\textbackslash{}\%\\ +\hline +Industrial Site & Total & 22,292 & 100\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Assault Offenses - Simple Assault & 29,336 & 39.80\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Drug/Narcotic Offenses - Drug/Narcotic Violations & 18,588 & 25.22\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Assault Offenses - Aggravated Assault & 6,797 & 9.22\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Destruction/Damage/Vandalism of Property & 6,036 & 8.19\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Assault Offenses - Intimidation & 2,886 & 3.92\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & All Other & 10,063 & 13.68\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Total & 73,706 & 100\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Larceny/Theft Offenses - All Other Larceny & 2,870 & 27.74\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Assault Offenses - Simple Assault & 1,335 & 12.90\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Destruction/Damage/Vandalism of Property & 1,235 & 11.94\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Drug/Narcotic Offenses - Drug/Narcotic Violations & 956 & 9.24\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Larceny/Theft Offenses - Theft From Motor Vehicle & 699 & 6.76\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & All Other & 3,250 & 31.39\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Total & 10,345 & 100\textbackslash{}\%\\ +\hline +Liquor Store & Larceny/Theft Offenses - Shoplifting & 19,689 & 53.60\textbackslash{}\%\\ +\hline +Liquor Store & Burglary/Breaking And Entering & 2,453 & 6.68\textbackslash{}\%\\ +\hline +Liquor Store & Larceny/Theft Offenses - All Other Larceny & 2,420 & 6.59\textbackslash{}\%\\ +\hline +Liquor Store & Destruction/Damage/Vandalism of Property & 2,221 & 6.05\textbackslash{}\%\\ +\hline +Liquor Store & Assault Offenses - Simple Assault & 1,554 & 4.23\textbackslash{}\%\\ +\hline +Liquor Store & All Other & 8,399 & 22.82\textbackslash{}\%\\ +\hline +Liquor Store & Total & 36,736 & 100\textbackslash{}\%\\ +\hline +Military Installation & Larceny/Theft Offenses - All Other Larceny & 186 & 21.60\textbackslash{}\%\\ +\hline +Military Installation & Destruction/Damage/Vandalism of Property & 95 & 11.03\textbackslash{}\%\\ +\hline +Military Installation & Assault Offenses - Simple Assault & 80 & 9.29\textbackslash{}\%\\ +\hline +Military Installation & Assault Offenses - Intimidation & 76 & 8.83\textbackslash{}\%\\ +\hline +Military Installation & Burglary/Breaking And Entering & 45 & 5.23\textbackslash{}\%\\ +\hline +Military Installation & All Other & 379 & 44.04\textbackslash{}\%\\ +\hline +Military Installation & Total & 861 & 100\textbackslash{}\%\\ +\hline +Other/Unknown & Larceny/Theft Offenses - All Other Larceny & 115,019 & 16.44\textbackslash{}\%\\ +\hline +Other/Unknown & Destruction/Damage/Vandalism of Property & 73,195 & 10.46\textbackslash{}\%\\ +\hline +Other/Unknown & Assault Offenses - Simple Assault & 56,187 & 8.03\textbackslash{}\%\\ +\hline +Other/Unknown & Larceny/Theft Offenses - Shoplifting & 45,609 & 6.52\textbackslash{}\%\\ +\hline +Other/Unknown & Assault Offenses - Intimidation & 36,283 & 5.18\textbackslash{}\%\\ +\hline +Other/Unknown & All Other & 373,527 & 53.37\textbackslash{}\%\\ +\hline +Other/Unknown & Total & 699,820 & 100\textbackslash{}\%\\ +\hline +Park/Playground & Destruction/Damage/Vandalism of Property & 27,650 & 21.84\textbackslash{}\%\\ +\hline +Park/Playground & Assault Offenses - Simple Assault & 19,055 & 15.05\textbackslash{}\%\\ +\hline +Park/Playground & Larceny/Theft Offenses - All Other Larceny & 13,991 & 11.05\textbackslash{}\%\\ +\hline +Park/Playground & Drug/Narcotic Offenses - Drug/Narcotic Violations & 13,094 & 10.34\textbackslash{}\%\\ +\hline +Park/Playground & Larceny/Theft Offenses - Theft From Motor Vehicle & 10,678 & 8.43\textbackslash{}\%\\ +\hline +Park/Playground & All Other & 42,136 & 33.28\textbackslash{}\%\\ +\hline +Park/Playground & Total & 126,604 & 100\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Larceny/Theft Offenses - Theft From Motor Vehicle & 273,500 & 21.39\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Destruction/Damage/Vandalism of Property & 247,701 & 19.37\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Motor Vehicle Theft & 213,331 & 16.69\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Drug/Narcotic Offenses - Drug/Narcotic Violations & 86,283 & 6.75\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Larceny/Theft Offenses - All Other Larceny & 83,482 & 6.53\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & All Other & 374,266 & 29.23\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Total & 1,278,563 & 100\textbackslash{}\%\\ +\hline +Rental Storage Facility & Burglary/Breaking And Entering & 38,005 & 46.01\textbackslash{}\%\\ +\hline +Rental Storage Facility & Destruction/Damage/Vandalism of Property & 11,438 & 13.85\textbackslash{}\%\\ +\hline +Rental Storage Facility & Larceny/Theft Offenses - All Other Larceny & 9,848 & 11.92\textbackslash{}\%\\ +\hline +Rental Storage Facility & Motor Vehicle Theft & 4,787 & 5.80\textbackslash{}\%\\ +\hline +Rental Storage Facility & Larceny/Theft Offenses - Theft From Building & 4,275 & 5.18\textbackslash{}\%\\ +\hline +Rental Storage Facility & All Other & 14,250 & 17.26\textbackslash{}\%\\ +\hline +Rental Storage Facility & Total & 82,603 & 100\textbackslash{}\%\\ +\hline +Residence/Home & Assault Offenses - Simple Assault & 1,149,864 & 22.18\textbackslash{}\%\\ +\hline +Residence/Home & Destruction/Damage/Vandalism of Property & 680,051 & 13.12\textbackslash{}\%\\ +\hline +Residence/Home & Larceny/Theft Offenses - All Other Larceny & 579,384 & 11.18\textbackslash{}\%\\ +\hline +Residence/Home & Burglary/Breaking And Entering & 383,775 & 7.40\textbackslash{}\%\\ +\hline +Residence/Home & Assault Offenses - Intimidation & 346,951 & 6.69\textbackslash{}\%\\ +\hline +Residence/Home & All Other & 2,043,859 & 39.43\textbackslash{}\%\\ +\hline +Residence/Home & Total & 5,183,884 & 100\textbackslash{}\%\\ +\hline +Rest Area & Destruction/Damage/Vandalism of Property & 643 & 17.04\textbackslash{}\%\\ +\hline +Rest Area & Larceny/Theft Offenses - All Other Larceny & 541 & 14.34\textbackslash{}\%\\ +\hline +Rest Area & Assault Offenses - Simple Assault & 530 & 14.05\textbackslash{}\%\\ +\hline +Rest Area & Drug/Narcotic Offenses - Drug/Narcotic Violations & 357 & 9.46\textbackslash{}\%\\ +\hline +Rest Area & Larceny/Theft Offenses - Theft From Motor Vehicle & 277 & 7.34\textbackslash{}\%\\ +\hline +Rest Area & All Other & 1,425 & 37.78\textbackslash{}\%\\ +\hline +Rest Area & Total & 3,773 & 100\textbackslash{}\%\\ +\hline +Restaurant & Larceny/Theft Offenses - All Other Larceny & 33,432 & 14.97\textbackslash{}\%\\ +\hline +Restaurant & Assault Offenses - Simple Assault & 31,827 & 14.25\textbackslash{}\%\\ +\hline +Restaurant & Destruction/Damage/Vandalism of Property & 27,812 & 12.46\textbackslash{}\%\\ +\hline +Restaurant & Burglary/Breaking And Entering & 23,384 & 10.47\textbackslash{}\%\\ +\hline +Restaurant & Larceny/Theft Offenses - Theft From Building & 13,008 & 5.83\textbackslash{}\%\\ +\hline +Restaurant & All Other & 93,831 & 42.01\textbackslash{}\%\\ +\hline +Restaurant & Total & 223,294 & 100\textbackslash{}\%\\ +\hline +School - College/University & Larceny/Theft Offenses - All Other Larceny & 16,802 & 21.85\textbackslash{}\%\\ +\hline +School - College/University & Destruction/Damage/Vandalism of Property & 13,211 & 17.18\textbackslash{}\%\\ +\hline +School - College/University & Assault Offenses - Simple Assault & 8,648 & 11.25\textbackslash{}\%\\ +\hline +School - College/University & Larceny/Theft Offenses - Theft From Building & 6,806 & 8.85\textbackslash{}\%\\ +\hline +School - College/University & Drug/Narcotic Offenses - Drug/Narcotic Violations & 5,410 & 7.04\textbackslash{}\%\\ +\hline +School - College/University & All Other & 26,020 & 33.8\textbackslash{}\%\\ +\hline +School - College/University & Total & 76,897 & 100\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Assault Offenses - Simple Assault & 84,826 & 33.15\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Drug/Narcotic Offenses - Drug/Narcotic Violations & 44,891 & 17.54\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Assault Offenses - Intimidation & 28,122 & 10.99\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Destruction/Damage/Vandalism of Property & 18,045 & 7.05\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Larceny/Theft Offenses - All Other Larceny & 16,527 & 6.46\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & All Other & 63,509 & 24.83\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Total & 255,920 & 100\textbackslash{}\%\\ +\hline +School/College & Assault Offenses - Simple Assault & 7,881 & 27.26\textbackslash{}\%\\ +\hline +School/College & Drug/Narcotic Offenses - Drug/Narcotic Violations & 4,103 & 14.19\textbackslash{}\%\\ +\hline +School/College & Larceny/Theft Offenses - All Other Larceny & 3,256 & 11.26\textbackslash{}\%\\ +\hline +School/College & Destruction/Damage/Vandalism of Property & 2,799 & 9.68\textbackslash{}\%\\ +\hline +School/College & Assault Offenses - Intimidation & 2,689 & 9.30\textbackslash{}\%\\ +\hline +School/College & All Other & 8,178 & 28.27\textbackslash{}\%\\ +\hline +School/College & Total & 28,906 & 100\textbackslash{}\%\\ +\hline +Service/Gas Station & Larceny/Theft Offenses - Shoplifting & 31,892 & 16.67\textbackslash{}\%\\ +\hline +Service/Gas Station & Larceny/Theft Offenses - All Other Larceny & 27,148 & 14.19\textbackslash{}\%\\ +\hline +Service/Gas Station & Drug/Narcotic Offenses - Drug/Narcotic Violations & 15,847 & 8.28\textbackslash{}\%\\ +\hline +Service/Gas Station & Assault Offenses - Simple Assault & 15,585 & 8.15\textbackslash{}\%\\ +\hline +Service/Gas Station & Destruction/Damage/Vandalism of Property & 13,950 & 7.29\textbackslash{}\%\\ +\hline +Service/Gas Station & All Other & 86,861 & 45.38\textbackslash{}\%\\ +\hline +Service/Gas Station & Total & 191,283 & 100\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Assault Offenses - Simple Assault & 6,861 & 29.69\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Assault Offenses - Intimidation & 3,874 & 16.76\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Larceny/Theft Offenses - All Other Larceny & 2,884 & 12.48\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Assault Offenses - Aggravated Assault & 1,865 & 8.07\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Larceny/Theft Offenses - Theft From Building & 1,707 & 7.39\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & All Other & 5,921 & 25.61\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Total & 23,112 & 100\textbackslash{}\%\\ +\hline +Shopping Mall & Larceny/Theft Offenses - Shoplifting & 34,875 & 42.24\textbackslash{}\%\\ +\hline +Shopping Mall & Larceny/Theft Offenses - All Other Larceny & 9,019 & 10.92\textbackslash{}\%\\ +\hline +Shopping Mall & Assault Offenses - Simple Assault & 4,750 & 5.75\textbackslash{}\%\\ +\hline +Shopping Mall & Destruction/Damage/Vandalism of Property & 4,523 & 5.48\textbackslash{}\%\\ +\hline +Shopping Mall & Assault Offenses - Intimidation & 2,964 & 3.59\textbackslash{}\%\\ +\hline +Shopping Mall & All Other & 26,442 & 32.03\textbackslash{}\%\\ +\hline +Shopping Mall & Total & 82,573 & 100\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Larceny/Theft Offenses - Shoplifting & 122,489 & 38.26\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Larceny/Theft Offenses - All Other Larceny & 35,389 & 11.05\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Destruction/Damage/Vandalism of Property & 24,886 & 7.77\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Burglary/Breaking And Entering & 24,731 & 7.72\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 16,482 & 5.15\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & All Other & 96,174 & 30.03\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Total & 320,151 & 100\textbackslash{}\%\\ +\hline +Tribal Lands & Drug/Narcotic Offenses - Drug/Narcotic Violations & 658 & 12.67\textbackslash{}\%\\ +\hline +Tribal Lands & Assault Offenses - Simple Assault & 604 & 11.63\textbackslash{}\%\\ +\hline +Tribal Lands & Destruction/Damage/Vandalism of Property & 589 & 11.34\textbackslash{}\%\\ +\hline +Tribal Lands & Motor Vehicle Theft & 509 & 9.80\textbackslash{}\%\\ +\hline +Tribal Lands & Assault Offenses - Aggravated Assault & 390 & 7.51\textbackslash{}\%\\ +\hline +Tribal Lands & All Other & 2,443 & 47.04\textbackslash{}\%\\ +\hline +Tribal Lands & Total & 5,193 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -3848,1465 +1452,541 @@ The list of offenses where there is data on weapon usage is below: Table \@ref(tab:offenseWeapon) shows the breakdown in the weapons used in 2022 data, by the offense type. This table aggregates data at the offense-level, meaning that an incident with two offenses that both involved a weapon would count that weapon twice. Depending on your use case you may want to aggregate data to the incident-level, such as by top-coding to the most serious weapon per incident. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseWeapon)The weapon used by an offender, by offense, 2023. The use means that it was part of the crime though may not have been physically discharged. For example, pointing a gun at someone even without firing the gun is still using it.
Crime Weapon \# of Offenses \% of Offenses
Assault Offenses - Simple Assault Personal Weapons (Hands, Feet, Teeth, Etc.) 1,517,722 78.42\%
Assault Offenses - Simple Assault None 220,695 11.40\%
Assault Offenses - Simple Assault Other 145,694 7.53\%
Assault Offenses - Simple Assault Unknown 51,206 2.65\%
Assault Offenses - Simple Assault Total 1,935,317 100\%
Assault Offenses - Aggravated Assault Personal Weapons (Hands, Feet, Teeth, Etc.) 124,452 20.57\%
Assault Offenses - Aggravated Assault Handgun 107,390 17.75\%
Assault Offenses - Aggravated Assault Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 104,074 17.20\%
Assault Offenses - Aggravated Assault Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 61,632 10.18\%
Assault Offenses - Aggravated Assault Firearm (Type Not Stated) 60,172 9.94\%
Assault Offenses - Aggravated Assault Other 59,352 9.81\%
Assault Offenses - Aggravated Assault Motor Vehicle/Vessel 28,034 4.63\%
Assault Offenses - Aggravated Assault None 17,828 2.95\%
Assault Offenses - Aggravated Assault Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 13,348 2.21\%
Assault Offenses - Aggravated Assault Unknown 12,175 2.01\%
Assault Offenses - Aggravated Assault Rifle 5,933 0.98\%
Assault Offenses - Aggravated Assault Other Firearm 4,794 0.79\%
Assault Offenses - Aggravated Assault Shotgun 3,082 0.51\%
Assault Offenses - Aggravated Assault Fire/Incendiary Device 1,004 0.17\%
Assault Offenses - Aggravated Assault Drugs/Narcotics/Sleeping Pills 1,002 0.17\%
Assault Offenses - Aggravated Assault Poison (Include Gas) 635 0.10\%
Assault Offenses - Aggravated Assault Explosives 252 0.04\%
Assault Offenses - Aggravated Assault Total 605,159 100\%
Weapon Law Violations - Weapon Law Violations Handgun 183,188 51.57\%
Weapon Law Violations - Weapon Law Violations Firearm (Type Not Stated) 69,353 19.52\%
Weapon Law Violations - Weapon Law Violations Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 34,725 9.78\%
Weapon Law Violations - Weapon Law Violations Other 17,587 4.95\%
Weapon Law Violations - Weapon Law Violations None 13,074 3.68\%
Weapon Law Violations - Weapon Law Violations Rifle 9,476 2.67\%
Weapon Law Violations - Weapon Law Violations Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 7,426 2.09\%
Weapon Law Violations - Weapon Law Violations Unknown 5,582 1.57\%
Weapon Law Violations - Weapon Law Violations Other Firearm 5,578 1.57\%
Weapon Law Violations - Weapon Law Violations Shotgun 4,940 1.39\%
Weapon Law Violations - Weapon Law Violations Explosives 1,858 0.52\%
Weapon Law Violations - Weapon Law Violations Personal Weapons (Hands, Feet, Teeth, Etc.) 1,352 0.38\%
Weapon Law Violations - Weapon Law Violations Fire/Incendiary Device 409 0.12\%
Weapon Law Violations - Weapon Law Violations Motor Vehicle/Vessel 374 0.11\%
Weapon Law Violations - Weapon Law Violations Drugs/Narcotics/Sleeping Pills 220 0.06\%
Weapon Law Violations - Weapon Law Violations Poison (Include Gas) 75 0.02\%
Weapon Law Violations - Weapon Law Violations Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 24 0.01\%
Weapon Law Violations - Weapon Law Violations Total 355,241 100\%
Sex Offenses - Sexual Assault With An Object Personal Weapons (Hands, Feet, Teeth, Etc.) 4,813 60.28\%
Sex Offenses - Sexual Assault With An Object None 1,658 20.77\%
Sex Offenses - Sexual Assault With An Object Unknown 600 7.52\%
Sex Offenses - Sexual Assault With An Object Other 559 7.00\%
Sex Offenses - Sexual Assault With An Object Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 167 2.09\%
Sex Offenses - Sexual Assault With An Object Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 80 1.00\%
Sex Offenses - Sexual Assault With An Object Drugs/Narcotics/Sleeping Pills 45 0.56\%
Sex Offenses - Sexual Assault With An Object Handgun 30 0.38\%
Sex Offenses - Sexual Assault With An Object Firearm (Type Not Stated) 14 0.18\%
Sex Offenses - Sexual Assault With An Object Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 11 0.14\%
Sex Offenses - Sexual Assault With An Object Other Firearm 2 0.03\%
Sex Offenses - Sexual Assault With An Object Poison (Include Gas) 2 0.03\%
Sex Offenses - Sexual Assault With An Object Motor Vehicle/Vessel 1 0.01\%
Sex Offenses - Sexual Assault With An Object Explosives 1 0.01\%
Sex Offenses - Sexual Assault With An Object Shotgun 1 0.01\%
Sex Offenses - Sexual Assault With An Object Total 7,984 100\%
Sex Offenses - Rape Personal Weapons (Hands, Feet, Teeth, Etc.) 41,014 52.17\%
Sex Offenses - Rape None 23,802 30.28\%
Sex Offenses - Rape Unknown 7,928 10.08\%
Sex Offenses - Rape Other 2,638 3.36\%
Sex Offenses - Rape Handgun 887 1.13\%
Sex Offenses - Rape Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 796 1.01\%
Sex Offenses - Rape Drugs/Narcotics/Sleeping Pills 684 0.87\%
Sex Offenses - Rape Firearm (Type Not Stated) 392 0.50\%
Sex Offenses - Rape Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 191 0.24\%
Sex Offenses - Rape Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 175 0.22\%
Sex Offenses - Rape Poison (Include Gas) 29 0.04\%
Sex Offenses - Rape Other Firearm 28 0.04\%
Sex Offenses - Rape Rifle 18 0.02\%
Sex Offenses - Rape Motor Vehicle/Vessel 13 0.02\%
Sex Offenses - Rape Fire/Incendiary Device 9 0.01\%
Sex Offenses - Rape Shotgun 8 0.01\%
Sex Offenses - Rape Total 78,612 100\%
Robbery Personal Weapons (Hands, Feet, Teeth, Etc.) 55,139 30.77\%
Robbery Handgun 47,636 26.58\%
Robbery None 23,733 13.24\%
Robbery Firearm (Type Not Stated) 15,231 8.50\%
Robbery Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 14,983 8.36\%
Robbery Other 9,081 5.07\%
Robbery Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 4,780 2.67\%
Robbery Unknown 4,563 2.55\%
Robbery Other Firearm 1,296 0.72\%
Robbery Rifle 1,251 0.70\%
Robbery Motor Vehicle/Vessel 801 0.45\%
Robbery Shotgun 363 0.20\%
Robbery Poison (Include Gas) 107 0.06\%
Robbery Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 101 0.06\%
Robbery Explosives 57 0.03\%
Robbery Fire/Incendiary Device 42 0.02\%
Robbery Drugs/Narcotics/Sleeping Pills 42 0.02\%
Robbery Total 179,206 100\%
Sex Offenses - Sodomy Personal Weapons (Hands, Feet, Teeth, Etc.) 10,233 50.14\%
Sex Offenses - Sodomy None 7,151 35.04\%
Sex Offenses - Sodomy Unknown 1,415 6.93\%
Sex Offenses - Sodomy Other 780 3.82\%
Sex Offenses - Sodomy Handgun 242 1.19\%
Sex Offenses - Sodomy Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 207 1.01\%
Sex Offenses - Sodomy Drugs/Narcotics/Sleeping Pills 140 0.69\%
Sex Offenses - Sodomy Firearm (Type Not Stated) 94 0.46\%
Sex Offenses - Sodomy Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 94 0.46\%
Sex Offenses - Sodomy Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 30 0.15\%
Sex Offenses - Sodomy Other Firearm 8 0.04\%
Sex Offenses - Sodomy Motor Vehicle/Vessel 6 0.03\%
Sex Offenses - Sodomy Shotgun 5 0.02\%
Sex Offenses - Sodomy Rifle 3 0.01\%
Sex Offenses - Sodomy Poison (Include Gas) 2 0.01\%
Sex Offenses - Sodomy Total 20,410 100\%
Murder/Nonnegligent Manslaughter Handgun 5,808 39.08\%
Murder/Nonnegligent Manslaughter Firearm (Type Not Stated) 4,624 31.11\%
Murder/Nonnegligent Manslaughter Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 1,306 8.79\%
Murder/Nonnegligent Manslaughter Unknown 607 4.08\%
Murder/Nonnegligent Manslaughter Personal Weapons (Hands, Feet, Teeth, Etc.) 575 3.87\%
Murder/Nonnegligent Manslaughter Rifle 370 2.49\%
Murder/Nonnegligent Manslaughter Other Firearm 367 2.47\%
Murder/Nonnegligent Manslaughter Other 264 1.78\%
Murder/Nonnegligent Manslaughter Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 245 1.65\%
Murder/Nonnegligent Manslaughter Drugs/Narcotics/Sleeping Pills 201 1.35\%
Murder/Nonnegligent Manslaughter Motor Vehicle/Vessel 199 1.34\%
Murder/Nonnegligent Manslaughter Shotgun 146 0.98\%
Murder/Nonnegligent Manslaughter Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 82 0.55\%
Murder/Nonnegligent Manslaughter Fire/Incendiary Device 51 0.34\%
Murder/Nonnegligent Manslaughter Poison (Include Gas) 16 0.11\%
Murder/Nonnegligent Manslaughter Total 14,861 100\%
Kidnapping/Abduction Personal Weapons (Hands, Feet, Teeth, Etc.) 21,314 47.69\%
Kidnapping/Abduction None 12,283 27.48\%
Kidnapping/Abduction Handgun 2,825 6.32\%
Kidnapping/Abduction Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 1,984 4.44\%
Kidnapping/Abduction Other 1,850 4.14\%
Kidnapping/Abduction Unknown 1,767 3.95\%
Kidnapping/Abduction Firearm (Type Not Stated) 1,081 2.42\%
Kidnapping/Abduction Motor Vehicle/Vessel 527 1.18\%
Kidnapping/Abduction Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 476 1.06\%
Kidnapping/Abduction Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 215 0.48\%
Kidnapping/Abduction Rifle 157 0.35\%
Kidnapping/Abduction Shotgun 77 0.17\%
Kidnapping/Abduction Other Firearm 77 0.17\%
Kidnapping/Abduction Drugs/Narcotics/Sleeping Pills 40 0.09\%
Kidnapping/Abduction Fire/Incendiary Device 15 0.03\%
Kidnapping/Abduction Poison (Include Gas) 5 0.01\%
Kidnapping/Abduction Explosives 2 0.00\%
Kidnapping/Abduction Total 44,695 100\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Personal Weapons (Hands, Feet, Teeth, Etc.) 46,721 54.31\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) None 31,270 36.35\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Unknown 5,636 6.55\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Other 1,871 2.17\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 144 0.17\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Handgun 103 0.12\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Drugs/Narcotics/Sleeping Pills 75 0.09\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Firearm (Type Not Stated) 73 0.08\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 62 0.07\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 27 0.03\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Motor Vehicle/Vessel 17 0.02\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Other Firearm 16 0.02\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Poison (Include Gas) 8 0.01\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Rifle 7 0.01\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Fire/Incendiary Device 2 0.00\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Explosives 1 0.00\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Shotgun 1 0.00\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Total 86,034 100\%
Human Trafficking - Commercial Sex Acts None 1,149 55.00\%
Human Trafficking - Commercial Sex Acts Personal Weapons (Hands, Feet, Teeth, Etc.) 400 19.15\%
Human Trafficking - Commercial Sex Acts Unknown 315 15.08\%
Human Trafficking - Commercial Sex Acts Other 138 6.61\%
Human Trafficking - Commercial Sex Acts Handgun 34 1.63\%
Human Trafficking - Commercial Sex Acts Firearm (Type Not Stated) 16 0.77\%
Human Trafficking - Commercial Sex Acts Drugs/Narcotics/Sleeping Pills 15 0.72\%
Human Trafficking - Commercial Sex Acts Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 8 0.38\%
Human Trafficking - Commercial Sex Acts Motor Vehicle/Vessel 7 0.34\%
Human Trafficking - Commercial Sex Acts Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 4 0.19\%
Human Trafficking - Commercial Sex Acts Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 2 0.10\%
Human Trafficking - Commercial Sex Acts Poison (Include Gas) 1 0.05\%
Human Trafficking - Commercial Sex Acts Total 2,089 100\%
Negligent Manslaughter Motor Vehicle/Vessel 933 51.78\%
Negligent Manslaughter Other 235 13.04\%
Negligent Manslaughter Handgun 174 9.66\%
Negligent Manslaughter Drugs/Narcotics/Sleeping Pills 162 8.99\%
Negligent Manslaughter Unknown 81 4.50\%
Negligent Manslaughter Personal Weapons (Hands, Feet, Teeth, Etc.) 77 4.27\%
Negligent Manslaughter Firearm (Type Not Stated) 55 3.05\%
Negligent Manslaughter Rifle 18 1.00\%
Negligent Manslaughter Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 17 0.94\%
Negligent Manslaughter Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 16 0.89\%
Negligent Manslaughter Fire/Incendiary Device 10 0.55\%
Negligent Manslaughter Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 8 0.44\%
Negligent Manslaughter Other Firearm 6 0.33\%
Negligent Manslaughter Shotgun 6 0.33\%
Negligent Manslaughter Poison (Include Gas) 4 0.22\%
Negligent Manslaughter Total 1,802 100\%
Extortion/Blackmail None 21,675 80.18\%
Extortion/Blackmail Other 2,298 8.50\%
Extortion/Blackmail Personal Weapons (Hands, Feet, Teeth, Etc.) 1,384 5.12\%
Extortion/Blackmail Unknown 1,343 4.97\%
Extortion/Blackmail Firearm (Type Not Stated) 122 0.45\%
Extortion/Blackmail Handgun 91 0.34\%
Extortion/Blackmail Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 38 0.14\%
Extortion/Blackmail Rifle 32 0.12\%
Extortion/Blackmail Explosives 16 0.06\%
Extortion/Blackmail Other Firearm 16 0.06\%
Extortion/Blackmail Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 9 0.03\%
Extortion/Blackmail Drugs/Narcotics/Sleeping Pills 4 0.01\%
Extortion/Blackmail Fire/Incendiary Device 2 0.01\%
Extortion/Blackmail Motor Vehicle/Vessel 2 0.01\%
Extortion/Blackmail Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 1 0.00\%
Extortion/Blackmail Poison (Include Gas) 1 0.00\%
Extortion/Blackmail Total 27,034 100\%
Justifiable Homicide - Not A Crime Handgun 410 61.10\%
Justifiable Homicide - Not A Crime Firearm (Type Not Stated) 167 24.89\%
Justifiable Homicide - Not A Crime Rifle 38 5.66\%
Justifiable Homicide - Not A Crime Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 27 4.02\%
Justifiable Homicide - Not A Crime Personal Weapons (Hands, Feet, Teeth, Etc.) 8 1.19\%
Justifiable Homicide - Not A Crime Other Firearm 6 0.89\%
Justifiable Homicide - Not A Crime Shotgun 5 0.75\%
Justifiable Homicide - Not A Crime Unknown 4 0.60\%
Justifiable Homicide - Not A Crime Motor Vehicle/Vessel 2 0.30\%
Justifiable Homicide - Not A Crime Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 2 0.30\%
Justifiable Homicide - Not A Crime Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 1 0.15\%
Justifiable Homicide - Not A Crime Other 1 0.15\%
Justifiable Homicide - Not A Crime Total 671 100\%
Human Trafficking - Involuntary Servitude None 242 48.89\%
Human Trafficking - Involuntary Servitude Personal Weapons (Hands, Feet, Teeth, Etc.) 100 20.20\%
Human Trafficking - Involuntary Servitude Unknown 82 16.57\%
Human Trafficking - Involuntary Servitude Other 34 6.87\%
Human Trafficking - Involuntary Servitude Handgun 12 2.42\%
Human Trafficking - Involuntary Servitude Firearm (Type Not Stated) 7 1.41\%
Human Trafficking - Involuntary Servitude Drugs/Narcotics/Sleeping Pills 5 1.01\%
Human Trafficking - Involuntary Servitude Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 5 1.01\%
Human Trafficking - Involuntary Servitude Other Firearm 2 0.40\%
Human Trafficking - Involuntary Servitude Poison (Include Gas) 2 0.40\%
Human Trafficking - Involuntary Servitude Motor Vehicle/Vessel 2 0.40\%
Human Trafficking - Involuntary Servitude Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 1 0.20\%
Human Trafficking - Involuntary Servitude Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 1 0.20\%
Human Trafficking - Involuntary Servitude Total 495 100\%
Weapon Law Violations - Explosives Explosives 1 100.00\%
Weapon Law Violations - Explosives Total 1 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseWeapon)The weapon used by an offender, by offense, 2023. The use means that it was part of the crime though may not have been physically discharged. For example, pointing a gun at someone even without firing the gun is still using it.}\\ +\hline +Crime & Weapon & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseWeapon)The weapon used by an offender, by offense, 2023. The use means that it was part of the crime though may not have been physically discharged. For example, pointing a gun at someone even without firing the gun is still using it. \textit{(continued)}}\\ +\hline +Crime & Weapon & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Assault Offenses - Simple Assault & Personal Weapons (Hands, Feet, Teeth, Etc.) & 1,517,722 & 78.42\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & None & 220,695 & 11.40\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Other & 145,694 & 7.53\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Unknown & 51,206 & 2.65\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Total & 1,935,317 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Personal Weapons (Hands, Feet, Teeth, Etc.) & 124,452 & 20.57\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Handgun & 107,390 & 17.75\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 104,074 & 17.20\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 61,632 & 10.18\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Firearm (Type Not Stated) & 60,172 & 9.94\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Other & 59,352 & 9.81\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Motor Vehicle/Vessel & 28,034 & 4.63\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & None & 17,828 & 2.95\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 13,348 & 2.21\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Unknown & 12,175 & 2.01\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Rifle & 5,933 & 0.98\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Other Firearm & 4,794 & 0.79\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Shotgun & 3,082 & 0.51\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Fire/Incendiary Device & 1,004 & 0.17\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Drugs/Narcotics/Sleeping Pills & 1,002 & 0.17\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Poison (Include Gas) & 635 & 0.10\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Explosives & 252 & 0.04\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Total & 605,159 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Handgun & 183,188 & 51.57\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Firearm (Type Not Stated) & 69,353 & 19.52\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 34,725 & 9.78\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Other & 17,587 & 4.95\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & None & 13,074 & 3.68\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Rifle & 9,476 & 2.67\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 7,426 & 2.09\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Unknown & 5,582 & 1.57\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Other Firearm & 5,578 & 1.57\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Shotgun & 4,940 & 1.39\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Explosives & 1,858 & 0.52\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Personal Weapons (Hands, Feet, Teeth, Etc.) & 1,352 & 0.38\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Fire/Incendiary Device & 409 & 0.12\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Motor Vehicle/Vessel & 374 & 0.11\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Drugs/Narcotics/Sleeping Pills & 220 & 0.06\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Poison (Include Gas) & 75 & 0.02\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 24 & 0.01\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Total & 355,241 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Personal Weapons (Hands, Feet, Teeth, Etc.) & 4,813 & 60.28\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & None & 1,658 & 20.77\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Unknown & 600 & 7.52\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Other & 559 & 7.00\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 167 & 2.09\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 80 & 1.00\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Drugs/Narcotics/Sleeping Pills & 45 & 0.56\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Handgun & 30 & 0.38\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Firearm (Type Not Stated) & 14 & 0.18\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 11 & 0.14\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Other Firearm & 2 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Poison (Include Gas) & 2 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Motor Vehicle/Vessel & 1 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Explosives & 1 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Shotgun & 1 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Total & 7,984 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Personal Weapons (Hands, Feet, Teeth, Etc.) & 41,014 & 52.17\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & None & 23,802 & 30.28\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Unknown & 7,928 & 10.08\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Other & 2,638 & 3.36\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Handgun & 887 & 1.13\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 796 & 1.01\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Drugs/Narcotics/Sleeping Pills & 684 & 0.87\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Firearm (Type Not Stated) & 392 & 0.50\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 191 & 0.24\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 175 & 0.22\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Poison (Include Gas) & 29 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Other Firearm & 28 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Rifle & 18 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Motor Vehicle/Vessel & 13 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Fire/Incendiary Device & 9 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Shotgun & 8 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Total & 78,612 & 100\textbackslash{}\%\\ +\hline +Robbery & Personal Weapons (Hands, Feet, Teeth, Etc.) & 55,139 & 30.77\textbackslash{}\%\\ +\hline +Robbery & Handgun & 47,636 & 26.58\textbackslash{}\%\\ +\hline +Robbery & None & 23,733 & 13.24\textbackslash{}\%\\ +\hline +Robbery & Firearm (Type Not Stated) & 15,231 & 8.50\textbackslash{}\%\\ +\hline +Robbery & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 14,983 & 8.36\textbackslash{}\%\\ +\hline +Robbery & Other & 9,081 & 5.07\textbackslash{}\%\\ +\hline +Robbery & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 4,780 & 2.67\textbackslash{}\%\\ +\hline +Robbery & Unknown & 4,563 & 2.55\textbackslash{}\%\\ +\hline +Robbery & Other Firearm & 1,296 & 0.72\textbackslash{}\%\\ +\hline +Robbery & Rifle & 1,251 & 0.70\textbackslash{}\%\\ +\hline +Robbery & Motor Vehicle/Vessel & 801 & 0.45\textbackslash{}\%\\ +\hline +Robbery & Shotgun & 363 & 0.20\textbackslash{}\%\\ +\hline +Robbery & Poison (Include Gas) & 107 & 0.06\textbackslash{}\%\\ +\hline +Robbery & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 101 & 0.06\textbackslash{}\%\\ +\hline +Robbery & Explosives & 57 & 0.03\textbackslash{}\%\\ +\hline +Robbery & Fire/Incendiary Device & 42 & 0.02\textbackslash{}\%\\ +\hline +Robbery & Drugs/Narcotics/Sleeping Pills & 42 & 0.02\textbackslash{}\%\\ +\hline +Robbery & Total & 179,206 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Personal Weapons (Hands, Feet, Teeth, Etc.) & 10,233 & 50.14\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & None & 7,151 & 35.04\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Unknown & 1,415 & 6.93\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Other & 780 & 3.82\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Handgun & 242 & 1.19\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 207 & 1.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Drugs/Narcotics/Sleeping Pills & 140 & 0.69\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Firearm (Type Not Stated) & 94 & 0.46\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 94 & 0.46\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 30 & 0.15\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Other Firearm & 8 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Motor Vehicle/Vessel & 6 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Shotgun & 5 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Rifle & 3 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Poison (Include Gas) & 2 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Total & 20,410 & 100\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Handgun & 5,808 & 39.08\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Firearm (Type Not Stated) & 4,624 & 31.11\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 1,306 & 8.79\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Unknown & 607 & 4.08\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Personal Weapons (Hands, Feet, Teeth, Etc.) & 575 & 3.87\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Rifle & 370 & 2.49\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Other Firearm & 367 & 2.47\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Other & 264 & 1.78\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 245 & 1.65\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Drugs/Narcotics/Sleeping Pills & 201 & 1.35\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Motor Vehicle/Vessel & 199 & 1.34\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Shotgun & 146 & 0.98\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 82 & 0.55\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Fire/Incendiary Device & 51 & 0.34\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Poison (Include Gas) & 16 & 0.11\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Total & 14,861 & 100\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Personal Weapons (Hands, Feet, Teeth, Etc.) & 21,314 & 47.69\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & None & 12,283 & 27.48\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Handgun & 2,825 & 6.32\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 1,984 & 4.44\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Other & 1,850 & 4.14\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Unknown & 1,767 & 3.95\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Firearm (Type Not Stated) & 1,081 & 2.42\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Motor Vehicle/Vessel & 527 & 1.18\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 476 & 1.06\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 215 & 0.48\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Rifle & 157 & 0.35\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Shotgun & 77 & 0.17\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Other Firearm & 77 & 0.17\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Drugs/Narcotics/Sleeping Pills & 40 & 0.09\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Fire/Incendiary Device & 15 & 0.03\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Poison (Include Gas) & 5 & 0.01\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Explosives & 2 & 0.00\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Total & 44,695 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Personal Weapons (Hands, Feet, Teeth, Etc.) & 46,721 & 54.31\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & None & 31,270 & 36.35\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Unknown & 5,636 & 6.55\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Other & 1,871 & 2.17\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 144 & 0.17\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Handgun & 103 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Drugs/Narcotics/Sleeping Pills & 75 & 0.09\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Firearm (Type Not Stated) & 73 & 0.08\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 62 & 0.07\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 27 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Motor Vehicle/Vessel & 17 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Other Firearm & 16 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Poison (Include Gas) & 8 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Rifle & 7 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Fire/Incendiary Device & 2 & 0.00\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Explosives & 1 & 0.00\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Shotgun & 1 & 0.00\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Total & 86,034 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & None & 1,149 & 55.00\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Personal Weapons (Hands, Feet, Teeth, Etc.) & 400 & 19.15\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Unknown & 315 & 15.08\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Other & 138 & 6.61\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Handgun & 34 & 1.63\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Firearm (Type Not Stated) & 16 & 0.77\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Drugs/Narcotics/Sleeping Pills & 15 & 0.72\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 8 & 0.38\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Motor Vehicle/Vessel & 7 & 0.34\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 4 & 0.19\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 2 & 0.10\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Poison (Include Gas) & 1 & 0.05\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Total & 2,089 & 100\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Motor Vehicle/Vessel & 933 & 51.78\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Other & 235 & 13.04\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Handgun & 174 & 9.66\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Drugs/Narcotics/Sleeping Pills & 162 & 8.99\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Unknown & 81 & 4.50\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Personal Weapons (Hands, Feet, Teeth, Etc.) & 77 & 4.27\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Firearm (Type Not Stated) & 55 & 3.05\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Rifle & 18 & 1.00\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 17 & 0.94\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 16 & 0.89\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Fire/Incendiary Device & 10 & 0.55\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 8 & 0.44\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Other Firearm & 6 & 0.33\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Shotgun & 6 & 0.33\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Poison (Include Gas) & 4 & 0.22\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Total & 1,802 & 100\textbackslash{}\%\\ +\hline +Extortion/Blackmail & None & 21,675 & 80.18\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Other & 2,298 & 8.50\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Personal Weapons (Hands, Feet, Teeth, Etc.) & 1,384 & 5.12\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Unknown & 1,343 & 4.97\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Firearm (Type Not Stated) & 122 & 0.45\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Handgun & 91 & 0.34\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 38 & 0.14\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Rifle & 32 & 0.12\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Explosives & 16 & 0.06\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Other Firearm & 16 & 0.06\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 9 & 0.03\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Drugs/Narcotics/Sleeping Pills & 4 & 0.01\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Fire/Incendiary Device & 2 & 0.01\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Motor Vehicle/Vessel & 2 & 0.01\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 1 & 0.00\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Poison (Include Gas) & 1 & 0.00\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Total & 27,034 & 100\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Handgun & 410 & 61.10\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Firearm (Type Not Stated) & 167 & 24.89\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Rifle & 38 & 5.66\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 27 & 4.02\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Personal Weapons (Hands, Feet, Teeth, Etc.) & 8 & 1.19\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Other Firearm & 6 & 0.89\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Shotgun & 5 & 0.75\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Unknown & 4 & 0.60\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Motor Vehicle/Vessel & 2 & 0.30\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 2 & 0.30\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 1 & 0.15\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Other & 1 & 0.15\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Total & 671 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & None & 242 & 48.89\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Personal Weapons (Hands, Feet, Teeth, Etc.) & 100 & 20.20\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Unknown & 82 & 16.57\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Other & 34 & 6.87\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Handgun & 12 & 2.42\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Firearm (Type Not Stated) & 7 & 1.41\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Drugs/Narcotics/Sleeping Pills & 5 & 1.01\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 5 & 1.01\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Other Firearm & 2 & 0.40\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Poison (Include Gas) & 2 & 0.40\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Motor Vehicle/Vessel & 2 & 0.40\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 1 & 0.20\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 1 & 0.20\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Total & 495 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Explosives & 1 & 100.00\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Total & 1 & 100\textbackslash{}\%\\ +\hline +\end{longtable} We can use this dataset to look at, for example, trends in the type of weapon used in murders and nonnegligent manslaughters over time, as seen in Figure \@ref(nibrsMurdersWeapon). We can see that guns are the most common weapon are over 60% of murders in most years. Most of these guns are handguns, with about 35% of all murders using a handgun. Other weapons are far less common making up fewer than 20% of offenses most years. There are different agencies reporting each year so differents in trends may simply be due to different agencies in the data. For your own analysis you will need to be far more careful than the figure shown here. -
-The annual percent of murders and nonnegligent homicides, by offender weapon, 1991-2023. -

(\#fig:nibrsMurdersWeapon)The annual percent of murders and nonnegligent homicides, by offender weapon, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/nibrsMurdersWeapon-1} + +} + +\caption{The annual percent of murders and nonnegligent homicides, by offender weapon, 1991-2023.}(\#fig:nibrsMurdersWeapon) +\end{figure} ### Automatic weapons When the weapon involved was a firearm there is a variable which indicates that the firearm was fully automatic. To be clear, this means that when you pull the trigger once the gun will fire multiple bullets. Semi-automatic firearms are **not** automatic firearms. Of course, saying a gun is fully automatic requires either the policing seizing the gun or the gun being fired (and for witnesses to accurately determine that it is fully automatic). Since many crimes are never solved (and even those that lead to an arrest may not lead to the gun being seized^[Though some guns are seized even without an arrest, such as if the gun is left at the crime scene], this variable is likely imprecise. Still, Figure \@ref(fig:offenseAutomaticWeapon) shows the percent of firearms used in offenses in 2022 that are reported to be fully automatic. Even though there can be up to three weapons used in an offense, this figure only looks at the first weapon. The most common guns to be automatic are rifles and handguns, both with about 5% of all uses being of an automatic weapon. The remaining categories are all under 3% of uses. -
-The percent of firearms used that were fully automatic, for all offenses, 1991-2023. -

(\#fig:offenseAutomaticWeapon)The percent of firearms used that were fully automatic, for all offenses, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/offenseAutomaticWeapon-1} + +} + +\caption{The percent of firearms used that were fully automatic, for all offenses, 1991-2023.}(\#fig:offenseAutomaticWeapon) +\end{figure} ## Burglary info For burglary offenses there are two variables that provide a little more information on the offense. The first variable is the number of "premises" that the burglar entered. This is only available when the location for the offense is either hotel/motel or a rental storage facility. So the "premise" can really be thought of as a room in the building, not that they break into multiple hotels. Figure \@ref(fig:offensePremisesEntered) shows the breakdown in the number of premises entered during a burglary incident. The graph is capped at ten or more for simplicity but in the data itself the number can go higher. The vast majority of hotel/motel and storage facility burglaries only have one room entered, with 87% of these burglaries only being on a single room. This declines enormously to 5% burglarizing two rooms and then more than halves to 2% burglarizing three rooms. This trend continues as the number of rooms increase. -
-The distribution in the number of premises entered during burglaries, 2023. This information is only available for burglaries in a hotel/motel or rental storage facilities. -

(\#fig:offensePremisesEntered)The distribution in the number of premises entered during burglaries, 2023. This information is only available for burglaries in a hotel/motel or rental storage facilities.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/offensePremisesEntered-1} + +} + +\caption{The distribution in the number of premises entered during burglaries, 2023. This information is only available for burglaries in a hotel/motel or rental storage facilities.}(\#fig:offensePremisesEntered) +\end{figure} The second variable, and one where there is data from every burglary reported regardless of location, says whether the burglar entered the building forcibly or not. A burglary without force is one when the burglary *only* enters through unlocked doors or windows. The *only* means that if they entered through an unlocked door or window and then forced open another door or window, the entire burglary is classified as forcible entry. Forcible entry is any when the burglar has to access a locked door or window *through any means of entering*. This is very broad and includes actions ranging from breaking the window - which people generally think of when it comes to forcible entry - to less obvious uses of force like picking the lock or even using a passcard (e.g. a hotel room card) to unlock the door. The FBI also includes when a burglar enters a building legally and then stays past their allowed time such as walking into a store and hiding somewhere until past closing time. Figure \@ref(fig:nibrsBurglaryForce) shows the annual trend in the share of burglaries with or without force. Nearly all burglaries at the start of our data used force and has steadily declined until fewer than 60% of burglaries have force in 2022. However, this data is likely affected by differences in reporting by whether force was used. For example, consider two cases of burglary in which the victim does not notice any property stolen. If you come home and find your front door kicked in you'll almost certainly call the police, regardless of if you find any property taken. But if you come home and the door is just unlocked, and do not notice anything stolen, then you may just chalk it up to forgetting to lock the door and never alert the police. -
-The annual percent of burglaries, by whether entry used force, 1991-2023. -

(\#fig:nibrsBurglaryForce)The annual percent of burglaries, by whether entry used force, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/nibrsBurglaryForce-1} + +} + +\caption{The annual percent of burglaries, by whether entry used force, 1991-2023.}(\#fig:nibrsBurglaryForce) +\end{figure} ## Hate crime indicator (bias motivation) @@ -5314,33 +1994,25 @@ For each offense, NIBRS indicates whether it had a bias motivation, which is NIB Table \@ref(tab:offenseBiasMotivation) shows the percent of all offenses in 2022 that were classified with or without a bias motivation. Nearly all offenses - 99.9% - are without a bias motivation or with an unknown bias motivation meaning that they are not considered hate crimes. - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseBiasMotivation)The number and percent of incidents that had a known bias motivation for all incidents reported in 2022.
Bias Motivation \# of Offenses \% of Offenses
No Bias Motivation 12,278,184 99.41\%
Bias Motivation 73,366 0.59\%
Total 12,351,550 100\%
+ +\begin{longtable}[t]{l|l|r} +\caption{(\#tab:offenseBiasMotivation)The number and percent of incidents that had a known bias motivation for all incidents reported in 2022.}\\ +\hline +Bias Motivation & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseBiasMotivation)The number and percent of incidents that had a known bias motivation for all incidents reported in 2022. \textit{(continued)}}\\ +\hline +Bias Motivation & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +No Bias Motivation & 12,278,184 & 99.41\textbackslash{}\%\\ +\hline +Bias Motivation & 73,366 & 0.59\textbackslash{}\%\\ +\hline +Total & 12,351,550 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -5348,1974 +2020,608 @@ In Table \@ref(tab:offenseBiasMotivationBiases) we can see the breakdown in the Some of these groups are also subsets of larger groups. For example, anti-Muslim, anti-Arab, and anti-Sikh (while Sikhs are not Muslim or Arabic, some Sikhs have been targeted by people who incorrectly believe that they are) are probably all the same bias motivation. Likewise, attacks on LGBT people are in multiple categories, which allows for a more detailed understanding of these hate crimes but requires aggregation to look at them as a group. While this aggregation is easy enough to do, accidentally missing any of the subcategories could vastly undercount offenses against the larger category. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseBiasMotivationBiases)The bias motivation (i.e. if it was a hate crime and what type of hate crime) for all incidents reported in 2022 that were classified as hate crimes.
Bias Motivation First Year \# of Offenses \% of Offenses
Unknown (Offenders Motivation Not Known) 1992 63,648 86.75\%
Anti-Black Or African American - 2,522 3.44\%
Anti-Jewish 1992 1,415 1.93\%
Anti-Gay (Male) 1992 866 1.18\%
Anti-White 1992 776 1.06\%
Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 1992 740 1.01\%
Anti-Hispanic Or Latino 1992 680 0.93\%
Anti-Other Race, Ethnicity, Ancestry, Or National Origin 1993 361 0.49\%
Anti-Asian 1992 319 0.43\%
Anti-Transgender 2013 307 0.42\%
Anti-Islamic (Muslim) 1994 199 0.27\%
Anti-Multiple Races, Group 1993 186 0.25\%
Anti-Sikh 2015 137 0.19\%
Anti-Lesbian (Female) 1993 136 0.19\%
Anti-Gender Non-Conforming 2013 126 0.17\%
Anti-Arab 1993 122 0.17\%
Anti-American Indian Or Alaskan Native 1993 102 0.14\%
Anti-Other Religion 1992 98 0.13\%
Anti-Mental Disability 1998 94 0.13\%
Anti-Physical Disability 1997 75 0.10\%
Anti-Catholic 1993 66 0.09\%
Anti-Other Christian 2015 63 0.09\%
Anti-Female 2012 59 0.08\%
Anti-Eastern Orthodox (Greek, Russian, Other) 2015 44 0.06\%
Anti-Multiple Religions, Group 1993 38 0.05\%
Anti-Bisexual 1994 29 0.04\%
Anti-Protestant 1993 25 0.03\%
Anti-Male 2012 22 0.03\%
Anti-Hindu 2015 21 0.03\%
Anti-Buddhist 2016 20 0.03\%
Anti-Church of Jesus Christ (Mormon) 2015 16 0.02\%
Anti-Atheism/Agnosticism 1993 16 0.02\%
Anti-Native Hawaiian Or Other Pacific Islander 2013 15 0.02\%
Anti-Heterosexual 1993 12 0.02\%
Anti-Jehovahs Witness 2016 11 0.01\%
Total - 73,366 100\%
+\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseBiasMotivationBiases)The bias motivation (i.e. if it was a hate crime and what type of hate crime) for all incidents reported in 2022 that were classified as hate crimes.}\\ +\hline +Bias Motivation & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseBiasMotivationBiases)The bias motivation (i.e. if it was a hate crime and what type of hate crime) for all incidents reported in 2022 that were classified as hate crimes. \textit{(continued)}}\\ +\hline +Bias Motivation & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Unknown (Offenders Motivation Not Known) & 1992 & 63,648 & 86.75\textbackslash{}\%\\ +\hline +Anti-Black Or African American & - & 2,522 & 3.44\textbackslash{}\%\\ +\hline +Anti-Jewish & 1992 & 1,415 & 1.93\textbackslash{}\%\\ +\hline +Anti-Gay (Male) & 1992 & 866 & 1.18\textbackslash{}\%\\ +\hline +Anti-White & 1992 & 776 & 1.06\textbackslash{}\%\\ +\hline +Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 1992 & 740 & 1.01\textbackslash{}\%\\ +\hline +Anti-Hispanic Or Latino & 1992 & 680 & 0.93\textbackslash{}\%\\ +\hline +Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 1993 & 361 & 0.49\textbackslash{}\%\\ +\hline +Anti-Asian & 1992 & 319 & 0.43\textbackslash{}\%\\ +\hline +Anti-Transgender & 2013 & 307 & 0.42\textbackslash{}\%\\ +\hline +Anti-Islamic (Muslim) & 1994 & 199 & 0.27\textbackslash{}\%\\ +\hline +Anti-Multiple Races, Group & 1993 & 186 & 0.25\textbackslash{}\%\\ +\hline +Anti-Sikh & 2015 & 137 & 0.19\textbackslash{}\%\\ +\hline +Anti-Lesbian (Female) & 1993 & 136 & 0.19\textbackslash{}\%\\ +\hline +Anti-Gender Non-Conforming & 2013 & 126 & 0.17\textbackslash{}\%\\ +\hline +Anti-Arab & 1993 & 122 & 0.17\textbackslash{}\%\\ +\hline +Anti-American Indian Or Alaskan Native & 1993 & 102 & 0.14\textbackslash{}\%\\ +\hline +Anti-Other Religion & 1992 & 98 & 0.13\textbackslash{}\%\\ +\hline +Anti-Mental Disability & 1998 & 94 & 0.13\textbackslash{}\%\\ +\hline +Anti-Physical Disability & 1997 & 75 & 0.10\textbackslash{}\%\\ +\hline +Anti-Catholic & 1993 & 66 & 0.09\textbackslash{}\%\\ +\hline +Anti-Other Christian & 2015 & 63 & 0.09\textbackslash{}\%\\ +\hline +Anti-Female & 2012 & 59 & 0.08\textbackslash{}\%\\ +\hline +Anti-Eastern Orthodox (Greek, Russian, Other) & 2015 & 44 & 0.06\textbackslash{}\%\\ +\hline +Anti-Multiple Religions, Group & 1993 & 38 & 0.05\textbackslash{}\%\\ +\hline +Anti-Bisexual & 1994 & 29 & 0.04\textbackslash{}\%\\ +\hline +Anti-Protestant & 1993 & 25 & 0.03\textbackslash{}\%\\ +\hline +Anti-Male & 2012 & 22 & 0.03\textbackslash{}\%\\ +\hline +Anti-Hindu & 2015 & 21 & 0.03\textbackslash{}\%\\ +\hline +Anti-Buddhist & 2016 & 20 & 0.03\textbackslash{}\%\\ +\hline +Anti-Church of Jesus Christ (Mormon) & 2015 & 16 & 0.02\textbackslash{}\%\\ +\hline +Anti-Atheism/Agnosticism & 1993 & 16 & 0.02\textbackslash{}\%\\ +\hline +Anti-Native Hawaiian Or Other Pacific Islander & 2013 & 15 & 0.02\textbackslash{}\%\\ +\hline +Anti-Heterosexual & 1993 & 12 & 0.02\textbackslash{}\%\\ +\hline +Anti-Jehovahs Witness & 2016 & 11 & 0.01\textbackslash{}\%\\ +\hline +Total & - & 73,366 & 100\textbackslash{}\%\\ +\hline +\end{longtable} -Even as the number of agencies reporting to NIBRS increased over time, the share of offenses that are considered hate crimes has remained fairly steady, as shown in Figure \@ref(fig:nibrsOffenseBias) with no year having more than 0.1% of offenses considered hate crimes. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseBiasOffense)The number and percent of offenses by bias motivation, 2023.
bias Offense \# of Offenses \% of Offenses
...1 Anti-American Indian Or Alaskan Native Assault Offenses - Simple Assault 24 21.82\%
...2 Anti-American Indian Or Alaskan Native Assault Offenses - Aggravated Assault 15 13.64\%
...3 Anti-American Indian Or Alaskan Native Larceny/Theft Offenses - All Other Larceny 10 9.09\%
...4 Anti-American Indian Or Alaskan Native Destruction/Damage/Vandalism of Property 10 9.09\%
...5 Anti-American Indian Or Alaskan Native Larceny/Theft Offenses - Shoplifting 8 7.27\%
...6 Anti-American Indian Or Alaskan Native All Other 43 39.11\%
...7 Anti-American Indian Or Alaskan Native Total 110 100\%
...8 Anti-Arab Assault Offenses - Intimidation 51 38.35\%
...9 Anti-Arab Assault Offenses - Simple Assault 36 27.07\%
...10 Anti-Arab Destruction/Damage/Vandalism of Property 23 17.29\%
...11 Anti-Arab Assault Offenses - Aggravated Assault 15 11.28\%
...12 Anti-Arab Fraud Offenses - Identity Theft 2 1.50\%
...13 Anti-Arab All Other 6 4.5\%
...14 Anti-Arab Total 133 100\%
...15 Anti-Asian Assault Offenses - Simple Assault 103 29.86\%
...16 Anti-Asian Assault Offenses - Intimidation 99 28.70\%
...17 Anti-Asian Destruction/Damage/Vandalism of Property 69 20.00\%
...18 Anti-Asian Assault Offenses - Aggravated Assault 34 9.86\%
...19 Anti-Asian Robbery 11 3.19\%
...20 Anti-Asian All Other 29 8.41\%
...21 Anti-Asian Total 345 100\%
...22 Anti-Atheism/Agnosticism Assault Offenses - Intimidation 5 31.25\%
...23 Anti-Atheism/Agnosticism Assault Offenses - Simple Assault 4 25.00\%
...24 Anti-Atheism/Agnosticism Destruction/Damage/Vandalism of Property 2 12.50\%
...25 Anti-Atheism/Agnosticism Assault Offenses - Aggravated Assault 2 12.50\%
...26 Anti-Atheism/Agnosticism Larceny/Theft Offenses - All Other Larceny 1 6.25\%
...27 Anti-Atheism/Agnosticism All Other 2 12.5\%
...28 Anti-Atheism/Agnosticism Total 16 100\%
...29 Anti-Bisexual Assault Offenses - Intimidation 8 23.53\%
...30 Anti-Bisexual Assault Offenses - Simple Assault 7 20.59\%
...31 Anti-Bisexual Destruction/Damage/Vandalism of Property 6 17.65\%
...32 Anti-Bisexual Assault Offenses - Aggravated Assault 3 8.82\%
...33 Anti-Bisexual Extortion/Blackmail 3 8.82\%
...34 Anti-Bisexual All Other 7 20.58\%
...35 Anti-Bisexual Total 34 100\%
...36 Anti-Black Or African American Assault Offenses - Intimidation 937 34.45\%
...37 Anti-Black Or African American Destruction/Damage/Vandalism of Property 764 28.09\%
...38 Anti-Black Or African American Assault Offenses - Simple Assault 576 21.18\%
...39 Anti-Black Or African American Assault Offenses - Aggravated Assault 284 10.44\%
...40 Anti-Black Or African American Burglary/Breaking And Entering 27 0.99\%
...41 Anti-Black Or African American All Other 132 4.86\%
...42 Anti-Black Or African American Total 2,720 100\%
...43 Anti-Buddhist Assault Offenses - Simple Assault 4 19.05\%
...44 Anti-Buddhist Destruction/Damage/Vandalism of Property 3 14.29\%
...45 Anti-Buddhist Larceny/Theft Offenses - All Other Larceny 3 14.29\%
...46 Anti-Buddhist Assault Offenses - Intimidation 1 4.76\%
...47 Anti-Buddhist Drug/Narcotic Offenses - Drug/Narcotic Violations 1 4.76\%
...48 Anti-Buddhist All Other 9 42.84\%
...49 Anti-Buddhist Total 21 100\%
...50 Anti-Catholic Destruction/Damage/Vandalism of Property 54 71.05\%
...51 Anti-Catholic Assault Offenses - Intimidation 10 13.16\%
...52 Anti-Catholic Larceny/Theft Offenses - All Other Larceny 4 5.26\%
...53 Anti-Catholic Burglary/Breaking And Entering 3 3.95\%
...54 Anti-Catholic Arson 2 2.63\%
...55 Anti-Catholic All Other 3 3.96\%
...56 Anti-Catholic Total 76 100\%
1 Anti-Church of Jesus Christ (Mormon) Destruction/Damage/Vandalism of Property 9 56.25\%
2 Anti-Church of Jesus Christ (Mormon) Assault Offenses - Simple Assault 3 18.75\%
3 Anti-Church of Jesus Christ (Mormon) Assault Offenses - Intimidation 3 18.75\%
4 Anti-Church of Jesus Christ (Mormon) Arson 1 6.25\%
NA NA NA NA NA
...62 Anti-Church of Jesus Christ (Mormon) All Other NA NA\%
...63 Anti-Church of Jesus Christ (Mormon) Total 16 100\%
...64 Anti-Eastern Orthodox (Greek, Russian, Other) Destruction/Damage/Vandalism of Property 11 18.97\%
...65 Anti-Eastern Orthodox (Greek, Russian, Other) Drug/Narcotic Offenses - Drug/Narcotic Violations 6 10.34\%
...66 Anti-Eastern Orthodox (Greek, Russian, Other) Larceny/Theft Offenses - Shoplifting 6 10.34\%
...67 Anti-Eastern Orthodox (Greek, Russian, Other) Assault Offenses - Aggravated Assault 5 8.62\%
...68 Anti-Eastern Orthodox (Greek, Russian, Other) Assault Offenses - Simple Assault 4 6.90\%
...69 Anti-Eastern Orthodox (Greek, Russian, Other) All Other 26 44.83\%
...70 Anti-Eastern Orthodox (Greek, Russian, Other) Total 58 100\%
...71 Anti-Female Assault Offenses - Intimidation 17 25.00\%
...72 Anti-Female Assault Offenses - Simple Assault 15 22.06\%
...73 Anti-Female Assault Offenses - Aggravated Assault 8 11.76\%
...74 Anti-Female Destruction/Damage/Vandalism of Property 5 7.35\%
...75 Anti-Female Sex Offenses - Fondling (Indecent Liberties/Child Molest) 3 4.41\%
...76 Anti-Female All Other 20 29.4\%
...77 Anti-Female Total 68 100\%
...78 Anti-Gay (Male) Assault Offenses - Simple Assault 276 29.84\%
...79 Anti-Gay (Male) Assault Offenses - Intimidation 257 27.78\%
...80 Anti-Gay (Male) Destruction/Damage/Vandalism of Property 151 16.32\%
...81 Anti-Gay (Male) Assault Offenses - Aggravated Assault 129 13.95\%
...82 Anti-Gay (Male) Larceny/Theft Offenses - All Other Larceny 36 3.89\%
...83 Anti-Gay (Male) All Other 76 8.24\%
...84 Anti-Gay (Male) Total 925 100\%
...85 Anti-Gender Non-Conforming Destruction/Damage/Vandalism of Property 28 20.29\%
...86 Anti-Gender Non-Conforming Assault Offenses - Simple Assault 25 18.12\%
...87 Anti-Gender Non-Conforming Larceny/Theft Offenses - All Other Larceny 14 10.14\%
...88 Anti-Gender Non-Conforming Drug/Narcotic Offenses - Drug/Narcotic Violations 13 9.42\%
...89 Anti-Gender Non-Conforming Assault Offenses - Intimidation 13 9.42\%
...90 Anti-Gender Non-Conforming All Other 45 32.57\%
...91 Anti-Gender Non-Conforming Total 138 100\%
...92 Anti-Heterosexual Destruction/Damage/Vandalism of Property 4 30.77\%
...93 Anti-Heterosexual Assault Offenses - Intimidation 2 15.38\%
...94 Anti-Heterosexual Assault Offenses - Simple Assault 2 15.38\%
...95 Anti-Heterosexual Larceny/Theft Offenses - All Other Larceny 2 15.38\%
...96 Anti-Heterosexual Assault Offenses - Aggravated Assault 1 7.69\%
...97 Anti-Heterosexual All Other 2 15.38\%
...98 Anti-Heterosexual Total 13 100\%
...99 Anti-Hindu Destruction/Damage/Vandalism of Property 6 27.27\%
...100 Anti-Hindu Assault Offenses - Simple Assault 5 22.73\%
...101 Anti-Hindu Assault Offenses - Intimidation 5 22.73\%
...102 Anti-Hindu Motor Vehicle Theft 1 4.55\%
...103 Anti-Hindu Assault Offenses - Aggravated Assault 1 4.55\%
...104 Anti-Hindu All Other 4 18.2\%
...105 Anti-Hindu Total 22 100\%
...106 Anti-Hispanic Or Latino Assault Offenses - Intimidation 242 33.02\%
...107 Anti-Hispanic Or Latino Assault Offenses - Simple Assault 228 31.11\%
...108 Anti-Hispanic Or Latino Assault Offenses - Aggravated Assault 129 17.60\%
...109 Anti-Hispanic Or Latino Destruction/Damage/Vandalism of Property 75 10.23\%
...110 Anti-Hispanic Or Latino Robbery 19 2.59\%
...111 Anti-Hispanic Or Latino All Other 40 5.47\%
...112 Anti-Hispanic Or Latino Total 733 100\%
...113 Anti-Islamic (Muslim) Assault Offenses - Intimidation 99 46.05\%
...114 Anti-Islamic (Muslim) Destruction/Damage/Vandalism of Property 45 20.93\%
...115 Anti-Islamic (Muslim) Assault Offenses - Simple Assault 42 19.53\%
...116 Anti-Islamic (Muslim) Assault Offenses - Aggravated Assault 13 6.05\%
...117 Anti-Islamic (Muslim) Larceny/Theft Offenses - All Other Larceny 3 1.40\%
...118 Anti-Islamic (Muslim) All Other 13 6.07\%
...119 Anti-Islamic (Muslim) Total 215 100\%
...120 Anti-Jehovahs Witness Destruction/Damage/Vandalism of Property 4 28.57\%
...121 Anti-Jehovahs Witness Assault Offenses - Intimidation 1 7.14\%
...122 Anti-Jehovahs Witness Arson 1 7.14\%
...123 Anti-Jehovahs Witness Pornography/Obscene Material 1 7.14\%
...124 Anti-Jehovahs Witness Larceny/Theft Offenses - Theft From Motor Vehicle 1 7.14\%
...125 Anti-Jehovahs Witness All Other 6 42.84\%
...126 Anti-Jehovahs Witness Total 14 100\%
...127 Anti-Jewish Destruction/Damage/Vandalism of Property 784 52.34\%
...128 Anti-Jewish Assault Offenses - Intimidation 492 32.84\%
...129 Anti-Jewish Assault Offenses - Simple Assault 71 4.74\%
...130 Anti-Jewish Larceny/Theft Offenses - All Other Larceny 63 4.21\%
...131 Anti-Jewish Assault Offenses - Aggravated Assault 33 2.20\%
...132 Anti-Jewish All Other 55 3.68\%
...133 Anti-Jewish Total 1,498 100\%
...134 Anti-Lesbian (Female) Assault Offenses - Intimidation 52 35.37\%
...135 Anti-Lesbian (Female) Assault Offenses - Simple Assault 37 25.17\%
...136 Anti-Lesbian (Female) Destruction/Damage/Vandalism of Property 23 15.65\%
...137 Anti-Lesbian (Female) Assault Offenses - Aggravated Assault 18 12.24\%
...138 Anti-Lesbian (Female) Larceny/Theft Offenses - All Other Larceny 9 6.12\%
...139 Anti-Lesbian (Female) All Other 8 5.44\%
...140 Anti-Lesbian (Female) Total 147 100\%
...141 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Destruction/Damage/Vandalism of Property 277 33.58\%
...142 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Assault Offenses - Intimidation 169 20.48\%
...143 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Larceny/Theft Offenses - All Other Larceny 150 18.18\%
...144 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Assault Offenses - Simple Assault 124 15.03\%
...145 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Assault Offenses - Aggravated Assault 50 6.06\%
...146 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) All Other 55 6.65\%
...147 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Total 825 100\%
...148 Anti-Male Destruction/Damage/Vandalism of Property 6 23.08\%
...149 Anti-Male Assault Offenses - Simple Assault 6 23.08\%
...150 Anti-Male Assault Offenses - Intimidation 4 15.38\%
...151 Anti-Male Drug/Narcotic Offenses - Drug/Narcotic Violations 2 7.69\%
...152 Anti-Male Larceny/Theft Offenses - All Other Larceny 1 3.85\%
...153 Anti-Male All Other 7 26.95\%
...154 Anti-Male Total 26 100\%
...155 Anti-Mental Disability Assault Offenses - Simple Assault 30 27.78\%
...156 Anti-Mental Disability Assault Offenses - Aggravated Assault 22 20.37\%
...157 Anti-Mental Disability Assault Offenses - Intimidation 17 15.74\%
...158 Anti-Mental Disability Larceny/Theft Offenses - All Other Larceny 9 8.33\%
...159 Anti-Mental Disability Destruction/Damage/Vandalism of Property 8 7.41\%
...160 Anti-Mental Disability All Other 22 20.41\%
...161 Anti-Mental Disability Total 108 100\%
...162 Anti-Multiple Races, Group Destruction/Damage/Vandalism of Property 97 49.24\%
...163 Anti-Multiple Races, Group Assault Offenses - Intimidation 57 28.93\%
...164 Anti-Multiple Races, Group Assault Offenses - Simple Assault 23 11.68\%
...165 Anti-Multiple Races, Group Assault Offenses - Aggravated Assault 11 5.58\%
...166 Anti-Multiple Races, Group Weapon Law Violations - Weapon Law Violations 2 1.02\%
...167 Anti-Multiple Races, Group All Other 7 3.57\%
...168 Anti-Multiple Races, Group Total 197 100\%
...169 Anti-Multiple Religions, Group Destruction/Damage/Vandalism of Property 18 40.91\%
...170 Anti-Multiple Religions, Group Assault Offenses - Intimidation 7 15.91\%
...171 Anti-Multiple Religions, Group Assault Offenses - Simple Assault 7 15.91\%
...172 Anti-Multiple Religions, Group Larceny/Theft Offenses - All Other Larceny 3 6.82\%
...173 Anti-Multiple Religions, Group Drug/Narcotic Offenses - Drug/Narcotic Violations 2 4.55\%
...174 Anti-Multiple Religions, Group All Other 7 15.9\%
...175 Anti-Multiple Religions, Group Total 44 100\%
...176 Anti-Native Hawaiian Or Other Pacific Islander Assault Offenses - Simple Assault 5 31.25\%
...177 Anti-Native Hawaiian Or Other Pacific Islander Assault Offenses - Intimidation 4 25.00\%
...178 Anti-Native Hawaiian Or Other Pacific Islander Weapon Law Violations - Weapon Law Violations 2 12.50\%
...179 Anti-Native Hawaiian Or Other Pacific Islander Larceny/Theft Offenses - All Other Larceny 2 12.50\%
...180 Anti-Native Hawaiian Or Other Pacific Islander Kidnapping/Abduction 1 6.25\%
...181 Anti-Native Hawaiian Or Other Pacific Islander All Other 2 12.5\%
...182 Anti-Native Hawaiian Or Other Pacific Islander Total 16 100\%
...183 Anti-Other Christian Destruction/Damage/Vandalism of Property 34 47.89\%
...184 Anti-Other Christian Assault Offenses - Intimidation 16 22.54\%
...185 Anti-Other Christian Burglary/Breaking And Entering 4 5.63\%
...186 Anti-Other Christian Larceny/Theft Offenses - All Other Larceny 4 5.63\%
...187 Anti-Other Christian Assault Offenses - Simple Assault 4 5.63\%
...188 Anti-Other Christian All Other 9 12.69\%
...189 Anti-Other Christian Total 71 100\%
...190 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Destruction/Damage/Vandalism of Property 112 29.55\%
...191 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Assault Offenses - Intimidation 100 26.39\%
...192 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Assault Offenses - Simple Assault 84 22.16\%
...193 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Assault Offenses - Aggravated Assault 32 8.44\%
...194 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Larceny/Theft Offenses - All Other Larceny 15 3.96\%
...195 Anti-Other Race, Ethnicity, Ancestry, Or National Origin All Other 36 9.46\%
...196 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Total 379 100\%
...197 Anti-Other Religion Destruction/Damage/Vandalism of Property 52 49.06\%
...198 Anti-Other Religion Assault Offenses - Intimidation 23 21.70\%
...199 Anti-Other Religion Assault Offenses - Simple Assault 9 8.49\%
...200 Anti-Other Religion Assault Offenses - Aggravated Assault 5 4.72\%
...201 Anti-Other Religion Burglary/Breaking And Entering 4 3.77\%
...202 Anti-Other Religion All Other 13 12.26\%
...203 Anti-Other Religion Total 106 100\%
...204 Anti-Physical Disability Assault Offenses - Intimidation 27 32.53\%
...205 Anti-Physical Disability Assault Offenses - Simple Assault 24 28.92\%
...206 Anti-Physical Disability Destruction/Damage/Vandalism of Property 9 10.84\%
...207 Anti-Physical Disability Assault Offenses - Aggravated Assault 8 9.64\%
...208 Anti-Physical Disability Larceny/Theft Offenses - All Other Larceny 4 4.82\%
...209 Anti-Physical Disability All Other 11 13.22\%
...210 Anti-Physical Disability Total 83 100\%
...211 Anti-Protestant Destruction/Damage/Vandalism of Property 8 26.67\%
...212 Anti-Protestant Assault Offenses - Intimidation 3 10.00\%
...213 Anti-Protestant Burglary/Breaking And Entering 3 10.00\%
...214 Anti-Protestant Assault Offenses - Simple Assault 3 10.00\%
...215 Anti-Protestant Assault Offenses - Aggravated Assault 3 10.00\%
...216 Anti-Protestant All Other 10 33.33\%
...217 Anti-Protestant Total 30 100\%
...218 Anti-Sikh Destruction/Damage/Vandalism of Property 27 17.42\%
...219 Anti-Sikh Larceny/Theft Offenses - All Other Larceny 20 12.90\%
...220 Anti-Sikh Assault Offenses - Simple Assault 17 10.97\%
...221 Anti-Sikh Drug/Narcotic Offenses - Drug/Narcotic Violations 14 9.03\%
...222 Anti-Sikh Larceny/Theft Offenses - Theft From Motor Vehicle 13 8.39\%
...223 Anti-Sikh All Other 64 41.34\%
...224 Anti-Sikh Total 155 100\%
...225 Anti-Transgender Assault Offenses - Intimidation 112 34.67\%
...226 Anti-Transgender Assault Offenses - Simple Assault 79 24.46\%
...227 Anti-Transgender Assault Offenses - Aggravated Assault 41 12.69\%
...228 Anti-Transgender Destruction/Damage/Vandalism of Property 38 11.76\%
...229 Anti-Transgender Larceny/Theft Offenses - All Other Larceny 14 4.33\%
...230 Anti-Transgender All Other 39 12.09\%
...231 Anti-Transgender Total 323 100\%
...232 Anti-White Assault Offenses - Simple Assault 230 27.68\%
...233 Anti-White Assault Offenses - Intimidation 189 22.74\%
...234 Anti-White Assault Offenses - Aggravated Assault 94 11.31\%
...235 Anti-White Destruction/Damage/Vandalism of Property 90 10.83\%
...236 Anti-White Larceny/Theft Offenses - All Other Larceny 49 5.90\%
...237 Anti-White All Other 179 21.52\%
...238 Anti-White Total 831 100\%
...239 Unknown (Offenders Motivation Not Known) Larceny/Theft Offenses - All Other Larceny 9,603 13.32\%
...240 Unknown (Offenders Motivation Not Known) Assault Offenses - Simple Assault 9,529 13.22\%
...241 Unknown (Offenders Motivation Not Known) Destruction/Damage/Vandalism of Property 9,499 13.17\%
...242 Unknown (Offenders Motivation Not Known) Drug/Narcotic Offenses - Drug/Narcotic Violations 5,418 7.51\%
...243 Unknown (Offenders Motivation Not Known) Burglary/Breaking And Entering 4,916 6.82\%
...244 Unknown (Offenders Motivation Not Known) All Other 33,139 45.97\%
...245 Unknown (Offenders Motivation Not Known) Total 72,104 100\%
- +Even as the number of agencies reporting to NIBRS increased over time, the share of offenses that are considered hate crimes has remained fairly steady, as shown in Figure \@ref(fig:nibrsOffenseBias) with no year having more than 0.1% of offenses considered hate crimes. -
-The annual percent of offenses reported as having a bias motivation (i.e. hate crime), 1993-2023. -

(\#fig:nibrsOffenseBias)The annual percent of offenses reported as having a bias motivation (i.e. hate crime), 1993-2023.

-
+\begin{longtable}[t]{l|l|l|r|r} +\caption{(\#tab:offenseBiasOffense)The number and percent of offenses by bias motivation, 2023. }\\ +\hline + & bias & Offense & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseBiasOffense)The number and percent of offenses by bias motivation, 2023. \textit{(continued)}}\\ +\hline + & bias & Offense & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +...1 & Anti-American Indian Or Alaskan Native & Assault Offenses - Simple Assault & 24 & 21.82\textbackslash{}\%\\ +\hline +...2 & Anti-American Indian Or Alaskan Native & Assault Offenses - Aggravated Assault & 15 & 13.64\textbackslash{}\%\\ +\hline +...3 & Anti-American Indian Or Alaskan Native & Larceny/Theft Offenses - All Other Larceny & 10 & 9.09\textbackslash{}\%\\ +\hline +...4 & Anti-American Indian Or Alaskan Native & Destruction/Damage/Vandalism of Property & 10 & 9.09\textbackslash{}\%\\ +\hline +...5 & Anti-American Indian Or Alaskan Native & Larceny/Theft Offenses - Shoplifting & 8 & 7.27\textbackslash{}\%\\ +\hline +...6 & Anti-American Indian Or Alaskan Native & All Other & 43 & 39.11\textbackslash{}\%\\ +\hline +...7 & Anti-American Indian Or Alaskan Native & Total & 110 & 100\textbackslash{}\%\\ +\hline +...8 & Anti-Arab & Assault Offenses - Intimidation & 51 & 38.35\textbackslash{}\%\\ +\hline +...9 & Anti-Arab & Assault Offenses - Simple Assault & 36 & 27.07\textbackslash{}\%\\ +\hline +...10 & Anti-Arab & Destruction/Damage/Vandalism of Property & 23 & 17.29\textbackslash{}\%\\ +\hline +...11 & Anti-Arab & Assault Offenses - Aggravated Assault & 15 & 11.28\textbackslash{}\%\\ +\hline +...12 & Anti-Arab & Fraud Offenses - Identity Theft & 2 & 1.50\textbackslash{}\%\\ +\hline +...13 & Anti-Arab & All Other & 6 & 4.5\textbackslash{}\%\\ +\hline +...14 & Anti-Arab & Total & 133 & 100\textbackslash{}\%\\ +\hline +...15 & Anti-Asian & Assault Offenses - Simple Assault & 103 & 29.86\textbackslash{}\%\\ +\hline +...16 & Anti-Asian & Assault Offenses - Intimidation & 99 & 28.70\textbackslash{}\%\\ +\hline +...17 & Anti-Asian & Destruction/Damage/Vandalism of Property & 69 & 20.00\textbackslash{}\%\\ +\hline +...18 & Anti-Asian & Assault Offenses - Aggravated Assault & 34 & 9.86\textbackslash{}\%\\ +\hline +...19 & Anti-Asian & Robbery & 11 & 3.19\textbackslash{}\%\\ +\hline +...20 & Anti-Asian & All Other & 29 & 8.41\textbackslash{}\%\\ +\hline +...21 & Anti-Asian & Total & 345 & 100\textbackslash{}\%\\ +\hline +...22 & Anti-Atheism/Agnosticism & Assault Offenses - Intimidation & 5 & 31.25\textbackslash{}\%\\ +\hline +...23 & Anti-Atheism/Agnosticism & Assault Offenses - Simple Assault & 4 & 25.00\textbackslash{}\%\\ +\hline +...24 & Anti-Atheism/Agnosticism & Destruction/Damage/Vandalism of Property & 2 & 12.50\textbackslash{}\%\\ +\hline +...25 & Anti-Atheism/Agnosticism & Assault Offenses - Aggravated Assault & 2 & 12.50\textbackslash{}\%\\ +\hline +...26 & Anti-Atheism/Agnosticism & Larceny/Theft Offenses - All Other Larceny & 1 & 6.25\textbackslash{}\%\\ +\hline +...27 & Anti-Atheism/Agnosticism & All Other & 2 & 12.5\textbackslash{}\%\\ +\hline +...28 & Anti-Atheism/Agnosticism & Total & 16 & 100\textbackslash{}\%\\ +\hline +...29 & Anti-Bisexual & Assault Offenses - Intimidation & 8 & 23.53\textbackslash{}\%\\ +\hline +...30 & Anti-Bisexual & Assault Offenses - Simple Assault & 7 & 20.59\textbackslash{}\%\\ +\hline +...31 & Anti-Bisexual & Destruction/Damage/Vandalism of Property & 6 & 17.65\textbackslash{}\%\\ +\hline +...32 & Anti-Bisexual & Assault Offenses - Aggravated Assault & 3 & 8.82\textbackslash{}\%\\ +\hline +...33 & Anti-Bisexual & Extortion/Blackmail & 3 & 8.82\textbackslash{}\%\\ +\hline +...34 & Anti-Bisexual & All Other & 7 & 20.58\textbackslash{}\%\\ +\hline +...35 & Anti-Bisexual & Total & 34 & 100\textbackslash{}\%\\ +\hline +...36 & Anti-Black Or African American & Assault Offenses - Intimidation & 937 & 34.45\textbackslash{}\%\\ +\hline +...37 & Anti-Black Or African American & Destruction/Damage/Vandalism of Property & 764 & 28.09\textbackslash{}\%\\ +\hline +...38 & Anti-Black Or African American & Assault Offenses - Simple Assault & 576 & 21.18\textbackslash{}\%\\ +\hline +...39 & Anti-Black Or African American & Assault Offenses - Aggravated Assault & 284 & 10.44\textbackslash{}\%\\ +\hline +...40 & Anti-Black Or African American & Burglary/Breaking And Entering & 27 & 0.99\textbackslash{}\%\\ +\hline +...41 & Anti-Black Or African American & All Other & 132 & 4.86\textbackslash{}\%\\ +\hline +...42 & Anti-Black Or African American & Total & 2,720 & 100\textbackslash{}\%\\ +\hline +...43 & Anti-Buddhist & Assault Offenses - Simple Assault & 4 & 19.05\textbackslash{}\%\\ +\hline +...44 & Anti-Buddhist & Destruction/Damage/Vandalism of Property & 3 & 14.29\textbackslash{}\%\\ +\hline +...45 & Anti-Buddhist & Larceny/Theft Offenses - All Other Larceny & 3 & 14.29\textbackslash{}\%\\ +\hline +...46 & Anti-Buddhist & Assault Offenses - Intimidation & 1 & 4.76\textbackslash{}\%\\ +\hline +...47 & Anti-Buddhist & Drug/Narcotic Offenses - Drug/Narcotic Violations & 1 & 4.76\textbackslash{}\%\\ +\hline +...48 & Anti-Buddhist & All Other & 9 & 42.84\textbackslash{}\%\\ +\hline +...49 & Anti-Buddhist & Total & 21 & 100\textbackslash{}\%\\ +\hline +...50 & Anti-Catholic & Destruction/Damage/Vandalism of Property & 54 & 71.05\textbackslash{}\%\\ +\hline +...51 & Anti-Catholic & Assault Offenses - Intimidation & 10 & 13.16\textbackslash{}\%\\ +\hline +...52 & Anti-Catholic & Larceny/Theft Offenses - All Other Larceny & 4 & 5.26\textbackslash{}\%\\ +\hline +...53 & Anti-Catholic & Burglary/Breaking And Entering & 3 & 3.95\textbackslash{}\%\\ +\hline +...54 & Anti-Catholic & Arson & 2 & 2.63\textbackslash{}\%\\ +\hline +...55 & Anti-Catholic & All Other & 3 & 3.96\textbackslash{}\%\\ +\hline +...56 & Anti-Catholic & Total & 76 & 100\textbackslash{}\%\\ +\hline +1 & Anti-Church of Jesus Christ (Mormon) & Destruction/Damage/Vandalism of Property & 9 & 56.25\textbackslash{}\%\\ +\hline +2 & Anti-Church of Jesus Christ (Mormon) & Assault Offenses - Simple Assault & 3 & 18.75\textbackslash{}\%\\ +\hline +3 & Anti-Church of Jesus Christ (Mormon) & Assault Offenses - Intimidation & 3 & 18.75\textbackslash{}\%\\ +\hline +4 & Anti-Church of Jesus Christ (Mormon) & Arson & 1 & 6.25\textbackslash{}\%\\ +\hline +NA & NA & NA & NA & NA\\ +\hline +...62 & Anti-Church of Jesus Christ (Mormon) & All Other & NA & NA\textbackslash{}\%\\ +\hline +...63 & Anti-Church of Jesus Christ (Mormon) & Total & 16 & 100\textbackslash{}\%\\ +\hline +...64 & Anti-Eastern Orthodox (Greek, Russian, Other) & Destruction/Damage/Vandalism of Property & 11 & 18.97\textbackslash{}\%\\ +\hline +...65 & Anti-Eastern Orthodox (Greek, Russian, Other) & Drug/Narcotic Offenses - Drug/Narcotic Violations & 6 & 10.34\textbackslash{}\%\\ +\hline +...66 & Anti-Eastern Orthodox (Greek, Russian, Other) & Larceny/Theft Offenses - Shoplifting & 6 & 10.34\textbackslash{}\%\\ +\hline +...67 & Anti-Eastern Orthodox (Greek, Russian, Other) & Assault Offenses - Aggravated Assault & 5 & 8.62\textbackslash{}\%\\ +\hline +...68 & Anti-Eastern Orthodox (Greek, Russian, Other) & Assault Offenses - Simple Assault & 4 & 6.90\textbackslash{}\%\\ +\hline +...69 & Anti-Eastern Orthodox (Greek, Russian, Other) & All Other & 26 & 44.83\textbackslash{}\%\\ +\hline +...70 & Anti-Eastern Orthodox (Greek, Russian, Other) & Total & 58 & 100\textbackslash{}\%\\ +\hline +...71 & Anti-Female & Assault Offenses - Intimidation & 17 & 25.00\textbackslash{}\%\\ +\hline +...72 & Anti-Female & Assault Offenses - Simple Assault & 15 & 22.06\textbackslash{}\%\\ +\hline +...73 & Anti-Female & Assault Offenses - Aggravated Assault & 8 & 11.76\textbackslash{}\%\\ +\hline +...74 & Anti-Female & Destruction/Damage/Vandalism of Property & 5 & 7.35\textbackslash{}\%\\ +\hline +...75 & Anti-Female & Sex Offenses - Fondling (Indecent Liberties/Child Molest) & 3 & 4.41\textbackslash{}\%\\ +\hline +...76 & Anti-Female & All Other & 20 & 29.4\textbackslash{}\%\\ +\hline +...77 & Anti-Female & Total & 68 & 100\textbackslash{}\%\\ +\hline +...78 & Anti-Gay (Male) & Assault Offenses - Simple Assault & 276 & 29.84\textbackslash{}\%\\ +\hline +...79 & Anti-Gay (Male) & Assault Offenses - Intimidation & 257 & 27.78\textbackslash{}\%\\ +\hline +...80 & Anti-Gay (Male) & Destruction/Damage/Vandalism of Property & 151 & 16.32\textbackslash{}\%\\ +\hline +...81 & Anti-Gay (Male) & Assault Offenses - Aggravated Assault & 129 & 13.95\textbackslash{}\%\\ +\hline +...82 & Anti-Gay (Male) & Larceny/Theft Offenses - All Other Larceny & 36 & 3.89\textbackslash{}\%\\ +\hline +...83 & Anti-Gay (Male) & All Other & 76 & 8.24\textbackslash{}\%\\ +\hline +...84 & Anti-Gay (Male) & Total & 925 & 100\textbackslash{}\%\\ +\hline +...85 & Anti-Gender Non-Conforming & Destruction/Damage/Vandalism of Property & 28 & 20.29\textbackslash{}\%\\ +\hline +...86 & Anti-Gender Non-Conforming & Assault Offenses - Simple Assault & 25 & 18.12\textbackslash{}\%\\ +\hline +...87 & Anti-Gender Non-Conforming & Larceny/Theft Offenses - All Other Larceny & 14 & 10.14\textbackslash{}\%\\ +\hline +...88 & Anti-Gender Non-Conforming & Drug/Narcotic Offenses - Drug/Narcotic Violations & 13 & 9.42\textbackslash{}\%\\ +\hline +...89 & Anti-Gender Non-Conforming & Assault Offenses - Intimidation & 13 & 9.42\textbackslash{}\%\\ +\hline +...90 & Anti-Gender Non-Conforming & All Other & 45 & 32.57\textbackslash{}\%\\ +\hline +...91 & Anti-Gender Non-Conforming & Total & 138 & 100\textbackslash{}\%\\ +\hline +...92 & Anti-Heterosexual & Destruction/Damage/Vandalism of Property & 4 & 30.77\textbackslash{}\%\\ +\hline +...93 & Anti-Heterosexual & Assault Offenses - Intimidation & 2 & 15.38\textbackslash{}\%\\ +\hline +...94 & Anti-Heterosexual & Assault Offenses - Simple Assault & 2 & 15.38\textbackslash{}\%\\ +\hline +...95 & Anti-Heterosexual & Larceny/Theft Offenses - All Other Larceny & 2 & 15.38\textbackslash{}\%\\ +\hline +...96 & Anti-Heterosexual & Assault Offenses - Aggravated Assault & 1 & 7.69\textbackslash{}\%\\ +\hline +...97 & Anti-Heterosexual & All Other & 2 & 15.38\textbackslash{}\%\\ +\hline +...98 & Anti-Heterosexual & Total & 13 & 100\textbackslash{}\%\\ +\hline +...99 & Anti-Hindu & Destruction/Damage/Vandalism of Property & 6 & 27.27\textbackslash{}\%\\ +\hline +...100 & Anti-Hindu & Assault Offenses - Simple Assault & 5 & 22.73\textbackslash{}\%\\ +\hline +...101 & Anti-Hindu & Assault Offenses - Intimidation & 5 & 22.73\textbackslash{}\%\\ +\hline +...102 & Anti-Hindu & Motor Vehicle Theft & 1 & 4.55\textbackslash{}\%\\ +\hline +...103 & Anti-Hindu & Assault Offenses - Aggravated Assault & 1 & 4.55\textbackslash{}\%\\ +\hline +...104 & Anti-Hindu & All Other & 4 & 18.2\textbackslash{}\%\\ +\hline +...105 & Anti-Hindu & Total & 22 & 100\textbackslash{}\%\\ +\hline +...106 & Anti-Hispanic Or Latino & Assault Offenses - Intimidation & 242 & 33.02\textbackslash{}\%\\ +\hline +...107 & Anti-Hispanic Or Latino & Assault Offenses - Simple Assault & 228 & 31.11\textbackslash{}\%\\ +\hline +...108 & Anti-Hispanic Or Latino & Assault Offenses - Aggravated Assault & 129 & 17.60\textbackslash{}\%\\ +\hline +...109 & Anti-Hispanic Or Latino & Destruction/Damage/Vandalism of Property & 75 & 10.23\textbackslash{}\%\\ +\hline +...110 & Anti-Hispanic Or Latino & Robbery & 19 & 2.59\textbackslash{}\%\\ +\hline +...111 & Anti-Hispanic Or Latino & All Other & 40 & 5.47\textbackslash{}\%\\ +\hline +...112 & Anti-Hispanic Or Latino & Total & 733 & 100\textbackslash{}\%\\ +\hline +...113 & Anti-Islamic (Muslim) & Assault Offenses - Intimidation & 99 & 46.05\textbackslash{}\%\\ +\hline +...114 & Anti-Islamic (Muslim) & Destruction/Damage/Vandalism of Property & 45 & 20.93\textbackslash{}\%\\ +\hline +...115 & Anti-Islamic (Muslim) & Assault Offenses - Simple Assault & 42 & 19.53\textbackslash{}\%\\ +\hline +...116 & Anti-Islamic (Muslim) & Assault Offenses - Aggravated Assault & 13 & 6.05\textbackslash{}\%\\ +\hline +...117 & Anti-Islamic (Muslim) & Larceny/Theft Offenses - All Other Larceny & 3 & 1.40\textbackslash{}\%\\ +\hline +...118 & Anti-Islamic (Muslim) & All Other & 13 & 6.07\textbackslash{}\%\\ +\hline +...119 & Anti-Islamic (Muslim) & Total & 215 & 100\textbackslash{}\%\\ +\hline +...120 & Anti-Jehovahs Witness & Destruction/Damage/Vandalism of Property & 4 & 28.57\textbackslash{}\%\\ +\hline +...121 & Anti-Jehovahs Witness & Assault Offenses - Intimidation & 1 & 7.14\textbackslash{}\%\\ +\hline +...122 & Anti-Jehovahs Witness & Arson & 1 & 7.14\textbackslash{}\%\\ +\hline +...123 & Anti-Jehovahs Witness & Pornography/Obscene Material & 1 & 7.14\textbackslash{}\%\\ +\hline +...124 & Anti-Jehovahs Witness & Larceny/Theft Offenses - Theft From Motor Vehicle & 1 & 7.14\textbackslash{}\%\\ +\hline +...125 & Anti-Jehovahs Witness & All Other & 6 & 42.84\textbackslash{}\%\\ +\hline +...126 & Anti-Jehovahs Witness & Total & 14 & 100\textbackslash{}\%\\ +\hline +...127 & Anti-Jewish & Destruction/Damage/Vandalism of Property & 784 & 52.34\textbackslash{}\%\\ +\hline +...128 & Anti-Jewish & Assault Offenses - Intimidation & 492 & 32.84\textbackslash{}\%\\ +\hline +...129 & Anti-Jewish & Assault Offenses - Simple Assault & 71 & 4.74\textbackslash{}\%\\ +\hline +...130 & Anti-Jewish & Larceny/Theft Offenses - All Other Larceny & 63 & 4.21\textbackslash{}\%\\ +\hline +...131 & Anti-Jewish & Assault Offenses - Aggravated Assault & 33 & 2.20\textbackslash{}\%\\ +\hline +...132 & Anti-Jewish & All Other & 55 & 3.68\textbackslash{}\%\\ +\hline +...133 & Anti-Jewish & Total & 1,498 & 100\textbackslash{}\%\\ +\hline +...134 & Anti-Lesbian (Female) & Assault Offenses - Intimidation & 52 & 35.37\textbackslash{}\%\\ +\hline +...135 & Anti-Lesbian (Female) & Assault Offenses - Simple Assault & 37 & 25.17\textbackslash{}\%\\ +\hline +...136 & Anti-Lesbian (Female) & Destruction/Damage/Vandalism of Property & 23 & 15.65\textbackslash{}\%\\ +\hline +...137 & Anti-Lesbian (Female) & Assault Offenses - Aggravated Assault & 18 & 12.24\textbackslash{}\%\\ +\hline +...138 & Anti-Lesbian (Female) & Larceny/Theft Offenses - All Other Larceny & 9 & 6.12\textbackslash{}\%\\ +\hline +...139 & Anti-Lesbian (Female) & All Other & 8 & 5.44\textbackslash{}\%\\ +\hline +...140 & Anti-Lesbian (Female) & Total & 147 & 100\textbackslash{}\%\\ +\hline +...141 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Destruction/Damage/Vandalism of Property & 277 & 33.58\textbackslash{}\%\\ +\hline +...142 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Assault Offenses - Intimidation & 169 & 20.48\textbackslash{}\%\\ +\hline +...143 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Larceny/Theft Offenses - All Other Larceny & 150 & 18.18\textbackslash{}\%\\ +\hline +...144 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Assault Offenses - Simple Assault & 124 & 15.03\textbackslash{}\%\\ +\hline +...145 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Assault Offenses - Aggravated Assault & 50 & 6.06\textbackslash{}\%\\ +\hline +...146 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & All Other & 55 & 6.65\textbackslash{}\%\\ +\hline +...147 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Total & 825 & 100\textbackslash{}\%\\ +\hline +...148 & Anti-Male & Destruction/Damage/Vandalism of Property & 6 & 23.08\textbackslash{}\%\\ +\hline +...149 & Anti-Male & Assault Offenses - Simple Assault & 6 & 23.08\textbackslash{}\%\\ +\hline +...150 & Anti-Male & Assault Offenses - Intimidation & 4 & 15.38\textbackslash{}\%\\ +\hline +...151 & Anti-Male & Drug/Narcotic Offenses - Drug/Narcotic Violations & 2 & 7.69\textbackslash{}\%\\ +\hline +...152 & Anti-Male & Larceny/Theft Offenses - All Other Larceny & 1 & 3.85\textbackslash{}\%\\ +\hline +...153 & Anti-Male & All Other & 7 & 26.95\textbackslash{}\%\\ +\hline +...154 & Anti-Male & Total & 26 & 100\textbackslash{}\%\\ +\hline +...155 & Anti-Mental Disability & Assault Offenses - Simple Assault & 30 & 27.78\textbackslash{}\%\\ +\hline +...156 & Anti-Mental Disability & Assault Offenses - Aggravated Assault & 22 & 20.37\textbackslash{}\%\\ +\hline +...157 & Anti-Mental Disability & Assault Offenses - Intimidation & 17 & 15.74\textbackslash{}\%\\ +\hline +...158 & Anti-Mental Disability & Larceny/Theft Offenses - All Other Larceny & 9 & 8.33\textbackslash{}\%\\ +\hline +...159 & Anti-Mental Disability & Destruction/Damage/Vandalism of Property & 8 & 7.41\textbackslash{}\%\\ +\hline +...160 & Anti-Mental Disability & All Other & 22 & 20.41\textbackslash{}\%\\ +\hline +...161 & Anti-Mental Disability & Total & 108 & 100\textbackslash{}\%\\ +\hline +...162 & Anti-Multiple Races, Group & Destruction/Damage/Vandalism of Property & 97 & 49.24\textbackslash{}\%\\ +\hline +...163 & Anti-Multiple Races, Group & Assault Offenses - Intimidation & 57 & 28.93\textbackslash{}\%\\ +\hline +...164 & Anti-Multiple Races, Group & Assault Offenses - Simple Assault & 23 & 11.68\textbackslash{}\%\\ +\hline +...165 & Anti-Multiple Races, Group & Assault Offenses - Aggravated Assault & 11 & 5.58\textbackslash{}\%\\ +\hline +...166 & Anti-Multiple Races, Group & Weapon Law Violations - Weapon Law Violations & 2 & 1.02\textbackslash{}\%\\ +\hline +...167 & Anti-Multiple Races, Group & All Other & 7 & 3.57\textbackslash{}\%\\ +\hline +...168 & Anti-Multiple Races, Group & Total & 197 & 100\textbackslash{}\%\\ +\hline +...169 & Anti-Multiple Religions, Group & Destruction/Damage/Vandalism of Property & 18 & 40.91\textbackslash{}\%\\ +\hline +...170 & Anti-Multiple Religions, Group & Assault Offenses - Intimidation & 7 & 15.91\textbackslash{}\%\\ +\hline +...171 & Anti-Multiple Religions, Group & Assault Offenses - Simple Assault & 7 & 15.91\textbackslash{}\%\\ +\hline +...172 & Anti-Multiple Religions, Group & Larceny/Theft Offenses - All Other Larceny & 3 & 6.82\textbackslash{}\%\\ +\hline +...173 & Anti-Multiple Religions, Group & Drug/Narcotic Offenses - Drug/Narcotic Violations & 2 & 4.55\textbackslash{}\%\\ +\hline +...174 & Anti-Multiple Religions, Group & All Other & 7 & 15.9\textbackslash{}\%\\ +\hline +...175 & Anti-Multiple Religions, Group & Total & 44 & 100\textbackslash{}\%\\ +\hline +...176 & Anti-Native Hawaiian Or Other Pacific Islander & Assault Offenses - Simple Assault & 5 & 31.25\textbackslash{}\%\\ +\hline +...177 & Anti-Native Hawaiian Or Other Pacific Islander & Assault Offenses - Intimidation & 4 & 25.00\textbackslash{}\%\\ +\hline +...178 & Anti-Native Hawaiian Or Other Pacific Islander & Weapon Law Violations - Weapon Law Violations & 2 & 12.50\textbackslash{}\%\\ +\hline +...179 & Anti-Native Hawaiian Or Other Pacific Islander & Larceny/Theft Offenses - All Other Larceny & 2 & 12.50\textbackslash{}\%\\ +\hline +...180 & Anti-Native Hawaiian Or Other Pacific Islander & Kidnapping/Abduction & 1 & 6.25\textbackslash{}\%\\ +\hline +...181 & Anti-Native Hawaiian Or Other Pacific Islander & All Other & 2 & 12.5\textbackslash{}\%\\ +\hline +...182 & Anti-Native Hawaiian Or Other Pacific Islander & Total & 16 & 100\textbackslash{}\%\\ +\hline +...183 & Anti-Other Christian & Destruction/Damage/Vandalism of Property & 34 & 47.89\textbackslash{}\%\\ +\hline +...184 & Anti-Other Christian & Assault Offenses - Intimidation & 16 & 22.54\textbackslash{}\%\\ +\hline +...185 & Anti-Other Christian & Burglary/Breaking And Entering & 4 & 5.63\textbackslash{}\%\\ +\hline +...186 & Anti-Other Christian & Larceny/Theft Offenses - All Other Larceny & 4 & 5.63\textbackslash{}\%\\ +\hline +...187 & Anti-Other Christian & Assault Offenses - Simple Assault & 4 & 5.63\textbackslash{}\%\\ +\hline +...188 & Anti-Other Christian & All Other & 9 & 12.69\textbackslash{}\%\\ +\hline +...189 & Anti-Other Christian & Total & 71 & 100\textbackslash{}\%\\ +\hline +...190 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Destruction/Damage/Vandalism of Property & 112 & 29.55\textbackslash{}\%\\ +\hline +...191 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Assault Offenses - Intimidation & 100 & 26.39\textbackslash{}\%\\ +\hline +...192 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Assault Offenses - Simple Assault & 84 & 22.16\textbackslash{}\%\\ +\hline +...193 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Assault Offenses - Aggravated Assault & 32 & 8.44\textbackslash{}\%\\ +\hline +...194 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Larceny/Theft Offenses - All Other Larceny & 15 & 3.96\textbackslash{}\%\\ +\hline +...195 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & All Other & 36 & 9.46\textbackslash{}\%\\ +\hline +...196 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Total & 379 & 100\textbackslash{}\%\\ +\hline +...197 & Anti-Other Religion & Destruction/Damage/Vandalism of Property & 52 & 49.06\textbackslash{}\%\\ +\hline +...198 & Anti-Other Religion & Assault Offenses - Intimidation & 23 & 21.70\textbackslash{}\%\\ +\hline +...199 & Anti-Other Religion & Assault Offenses - Simple Assault & 9 & 8.49\textbackslash{}\%\\ +\hline +...200 & Anti-Other Religion & Assault Offenses - Aggravated Assault & 5 & 4.72\textbackslash{}\%\\ +\hline +...201 & Anti-Other Religion & Burglary/Breaking And Entering & 4 & 3.77\textbackslash{}\%\\ +\hline +...202 & Anti-Other Religion & All Other & 13 & 12.26\textbackslash{}\%\\ +\hline +...203 & Anti-Other Religion & Total & 106 & 100\textbackslash{}\%\\ +\hline +...204 & Anti-Physical Disability & Assault Offenses - Intimidation & 27 & 32.53\textbackslash{}\%\\ +\hline +...205 & Anti-Physical Disability & Assault Offenses - Simple Assault & 24 & 28.92\textbackslash{}\%\\ +\hline +...206 & Anti-Physical Disability & Destruction/Damage/Vandalism of Property & 9 & 10.84\textbackslash{}\%\\ +\hline +...207 & Anti-Physical Disability & Assault Offenses - Aggravated Assault & 8 & 9.64\textbackslash{}\%\\ +\hline +...208 & Anti-Physical Disability & Larceny/Theft Offenses - All Other Larceny & 4 & 4.82\textbackslash{}\%\\ +\hline +...209 & Anti-Physical Disability & All Other & 11 & 13.22\textbackslash{}\%\\ +\hline +...210 & Anti-Physical Disability & Total & 83 & 100\textbackslash{}\%\\ +\hline +...211 & Anti-Protestant & Destruction/Damage/Vandalism of Property & 8 & 26.67\textbackslash{}\%\\ +\hline +...212 & Anti-Protestant & Assault Offenses - Intimidation & 3 & 10.00\textbackslash{}\%\\ +\hline +...213 & Anti-Protestant & Burglary/Breaking And Entering & 3 & 10.00\textbackslash{}\%\\ +\hline +...214 & Anti-Protestant & Assault Offenses - Simple Assault & 3 & 10.00\textbackslash{}\%\\ +\hline +...215 & Anti-Protestant & Assault Offenses - Aggravated Assault & 3 & 10.00\textbackslash{}\%\\ +\hline +...216 & Anti-Protestant & All Other & 10 & 33.33\textbackslash{}\%\\ +\hline +...217 & Anti-Protestant & Total & 30 & 100\textbackslash{}\%\\ +\hline +...218 & Anti-Sikh & Destruction/Damage/Vandalism of Property & 27 & 17.42\textbackslash{}\%\\ +\hline +...219 & Anti-Sikh & Larceny/Theft Offenses - All Other Larceny & 20 & 12.90\textbackslash{}\%\\ +\hline +...220 & Anti-Sikh & Assault Offenses - Simple Assault & 17 & 10.97\textbackslash{}\%\\ +\hline +...221 & Anti-Sikh & Drug/Narcotic Offenses - Drug/Narcotic Violations & 14 & 9.03\textbackslash{}\%\\ +\hline +...222 & Anti-Sikh & Larceny/Theft Offenses - Theft From Motor Vehicle & 13 & 8.39\textbackslash{}\%\\ +\hline +...223 & Anti-Sikh & All Other & 64 & 41.34\textbackslash{}\%\\ +\hline +...224 & Anti-Sikh & Total & 155 & 100\textbackslash{}\%\\ +\hline +...225 & Anti-Transgender & Assault Offenses - Intimidation & 112 & 34.67\textbackslash{}\%\\ +\hline +...226 & Anti-Transgender & Assault Offenses - Simple Assault & 79 & 24.46\textbackslash{}\%\\ +\hline +...227 & Anti-Transgender & Assault Offenses - Aggravated Assault & 41 & 12.69\textbackslash{}\%\\ +\hline +...228 & Anti-Transgender & Destruction/Damage/Vandalism of Property & 38 & 11.76\textbackslash{}\%\\ +\hline +...229 & Anti-Transgender & Larceny/Theft Offenses - All Other Larceny & 14 & 4.33\textbackslash{}\%\\ +\hline +...230 & Anti-Transgender & All Other & 39 & 12.09\textbackslash{}\%\\ +\hline +...231 & Anti-Transgender & Total & 323 & 100\textbackslash{}\%\\ +\hline +...232 & Anti-White & Assault Offenses - Simple Assault & 230 & 27.68\textbackslash{}\%\\ +\hline +...233 & Anti-White & Assault Offenses - Intimidation & 189 & 22.74\textbackslash{}\%\\ +\hline +...234 & Anti-White & Assault Offenses - Aggravated Assault & 94 & 11.31\textbackslash{}\%\\ +\hline +...235 & Anti-White & Destruction/Damage/Vandalism of Property & 90 & 10.83\textbackslash{}\%\\ +\hline +...236 & Anti-White & Larceny/Theft Offenses - All Other Larceny & 49 & 5.90\textbackslash{}\%\\ +\hline +...237 & Anti-White & All Other & 179 & 21.52\textbackslash{}\%\\ +\hline +...238 & Anti-White & Total & 831 & 100\textbackslash{}\%\\ +\hline +...239 & Unknown (Offenders Motivation Not Known) & Larceny/Theft Offenses - All Other Larceny & 9,603 & 13.32\textbackslash{}\%\\ +\hline +...240 & Unknown (Offenders Motivation Not Known) & Assault Offenses - Simple Assault & 9,529 & 13.22\textbackslash{}\%\\ +\hline +...241 & Unknown (Offenders Motivation Not Known) & Destruction/Damage/Vandalism of Property & 9,499 & 13.17\textbackslash{}\%\\ +\hline +...242 & Unknown (Offenders Motivation Not Known) & Drug/Narcotic Offenses - Drug/Narcotic Violations & 5,418 & 7.51\textbackslash{}\%\\ +\hline +...243 & Unknown (Offenders Motivation Not Known) & Burglary/Breaking And Entering & 4,916 & 6.82\textbackslash{}\%\\ +\hline +...244 & Unknown (Offenders Motivation Not Known) & All Other & 33,139 & 45.97\textbackslash{}\%\\ +\hline +...245 & Unknown (Offenders Motivation Not Known) & Total & 72,104 & 100\textbackslash{}\%\\ +\hline +\end{longtable} + + + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/nibrsOffenseBias-1} + +} + +\caption{The annual percent of offenses reported as having a bias motivation (i.e. hate crime), 1993-2023.}(\#fig:nibrsOffenseBias) +\end{figure} diff --git a/docs/14_nibrs_offender.md b/docs/14_nibrs_offender.md index 4a037aa..c21b57d 100644 --- a/docs/14_nibrs_offender.md +++ b/docs/14_nibrs_offender.md @@ -21,10 +21,14 @@ The age variable is the suspected age of the offender. This is presented to us a This data supports the widely observed age-crime curve, which shows that criminal activity tends to peak in the late teenage years and gradually declines as individuals age. Interestingly, in the NIBRS data, the most common offender age is 25, indicating a slightly later peak. This shift could reflect changes in the types of offenses reported or evolving offender patterns over time. The age distribution can differ depending on what offenses the offender's committed. To examine that you will need to merge this segment with the Offense Segment and then subset the offender data by the offense you are interested in. -
-The age of all offenders reported in the 2022 NIBRS data. Approximately 44 percent of offenders have an unknown age are not shown in the figure. -

(\#fig:offenderAge)The age of all offenders reported in the 2022 NIBRS data. Approximately 44 percent of offenders have an unknown age are not shown in the figure.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{14_nibrs_offender_files/figure-latex/offenderAge-1} + +} + +\caption{The age of all offenders reported in the 2022 NIBRS data. Approximately 44 percent of offenders have an unknown age are not shown in the figure.}(\#fig:offenderAge) +\end{figure} The spike you see at the very end of the data is due to the data maxing out possible individual ages at 98, so anyone older is grouped together. Surely very young children aren’t committing crimes, so is this a data error? Mostly yes. These entries likely reflect either data entry mistakes or situations where officers mistakenly input the offender’s age as "1" rather than selecting "unknown." However, in rare cases, this could also include tragic incidents, such as accidental harm caused by a child handling a firearm, which are still recorded as criminal incidents despite no intent. However, the bulk of this, especially for age one, is likely just a data error or the police entering age as one instead of saying that the age is unknown (which they have the option of doing) or simply entering the data incorrectly by mistake. @@ -34,15 +38,23 @@ Since we have data since 1991 we can look at how age changed over time. In Figur So what do we make of these trends? The first thing to keep in mind is that we are doing something fairly dumb. Each year of data we have different agencies reporting meaning that differences over time may simply be due to different agencies providing data. Still, if we had to interpret it I would say that the values in 1991 and 1992 are due to data issues likely caused by growing pains from agencies just starting out using NIBRS. Luckily, since NIBRS data has information on every single offender - rather than being already aggregated like in SRS data - we can check this. Indeed, this appears to simply be a data issue where many agencies put the age of offenders as "over 98 years old" rather than identifying them as unknown. In 1991, for example, 36% of offenders who had a known age were reported to be older than 98 years. When we look at the average age in 1991 when excluding people 99+ years old we get 28 years old, perfectly within expectation when looking at averages after 1992. -
-The mean and median age of offenders, 1991-2023. -

(\#fig:nibrsOffenderAge)The mean and median age of offenders, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{14_nibrs_offender_files/figure-latex/nibrsOffenderAge-1} + +} + +\caption{The mean and median age of offenders, 1991-2023.}(\#fig:nibrsOffenderAge) +\end{figure} + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{14_nibrs_offender_files/figure-latex/nibrsOffenderAgeMissing-1} + +} -
-The percent of offender's age that is unknown, 1991-2023. -

(\#fig:nibrsOffenderAgeMissing)The percent of offender's age that is unknown, 1991-2023.

-
+\caption{The percent of offender's age that is unknown, 1991-2023.}(\#fig:nibrsOffenderAgeMissing) +\end{figure} ### Sex @@ -50,10 +62,14 @@ So what do we make of these trends? The first thing to keep in mind is that we a The second offender demographic variable available is the offender's sex with male and female being the only available sexes. There is no option for transgender or anything else. Other than arrestees, where police could (though we do not know if they do) use their identification (e.g. driver's license) to determine their sex, this is likely the perceived sex of the offender based on what evidence the officer can collect (e.g. witness statement, video recordings, driver's licenses of the offender if they are caught, etc.). Figure \@ref(fig:nibrsOffenderSex) shows the distribution of offenders by sex for each year of data. The most common sex is male, which is consistent with the literature on who commits crime. About 45% of all offenders were male. Female offenders make up fewer than 20% of offenders though the general trend is that the share of offenders is increasing. Over a third of offenders have an unknown sex with the share being unknown decreasing over time until increasing again in the last several years. Considering that when nothing is known about offenders (including even how many offenders there are) this data includes a single row with "unknown" for all demographic variables, this is actually an undercount of offenders who have unknown sex. Again we see odd results in 1991 and 1992, likely an issue with data entry at the birth of NIBRS. -
-The share of offenders by sex, 1991-2023. -

(\#fig:nibrsOffenderSex)The share of offenders by sex, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{14_nibrs_offender_files/figure-latex/nibrsOffenderSex-1} + +} + +\caption{The share of offenders by sex, 1991-2023.}(\#fig:nibrsOffenderSex) +\end{figure} ### Race @@ -64,18 +80,26 @@ Figure \@ref(fig:offenderRace) shows the breakdown in offender races for every o The next most common offender race is White at a bit under 40% in most years, followed by Black at around 20%. The remaining races make up very few offender and are hard to see on the figure. We still see the weird values in 1991 and 1992, this time showing a massive spike in the number of Asian offenders which disappear to less than 1% in 1993. This corresponds to spike in White offenders in 1993, suggesting that some White offenders in 1991-1992 were incorrectly identified as Asian. -
-The share of offenders by race, 1991-2023. -

(\#fig:nibrsOffenderRace)The share of offenders by race, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{14_nibrs_offender_files/figure-latex/nibrsOffenderRace-1} + +} + +\caption{The share of offenders by race, 1991-2023.}(\#fig:nibrsOffenderRace) +\end{figure} ### Ethnicity Ethnicity data, collected sporadically starting in 2013, is rarely recorded, with the most common entry being "unknown." As we can see in Figure \@ref(fig:nibrsOffenderEthnicity) this variable is very rarely used and for most of the life of NIBRS it was not collected. Even when it was collected - which started in 2013, ended after 2016, and then returned in 2021 - the most common value is that the offender's ethnicity was unknown. -
-The share of offenders by ethnicity, 1991-2023. -

(\#fig:nibrsOffenderEthnicity)The share of offenders by ethnicity, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{14_nibrs_offender_files/figure-latex/nibrsOffenderEthnicity-1} + +} + +\caption{The share of offenders by ethnicity, 1991-2023.}(\#fig:nibrsOffenderEthnicity) +\end{figure} While the Offender Segment is limited to basic demographics, it remains a valuable resource for identifying broad patterns in offender behavior. By tracking trends over time, researchers can examine shifts in age, sex, and race among offenders, which may inform policy decisions on crime prevention and law enforcement strategies. However, gaps in the data - such as unknown offender details, new agencies reporting data each year, and the absence of critical variables like criminal history - highlight the need for cautious interpretation and cross-referencing with other data sources. diff --git a/docs/15_nibrs_victim.md b/docs/15_nibrs_victim.md index ab36837..db1085d 100644 --- a/docs/15_nibrs_victim.md +++ b/docs/15_nibrs_victim.md @@ -16,516 +16,152 @@ The first variable we will look at is the crime the victim experienced. This is There are 52 possible offenses included in this segment and Table \@ref(tab:victimCrimeCategory) shows how frequent each offense is. Though there are 10 possible offenses per victim, this table only looks at the first offense. The most common offense is simple assault, affecting 12.7% of victims or 944k people. This is followed by damage, vandalism, or destruction of property for 11% of victims. About 9.6% of victims experience drugs/narcotic violations, and these victims are likely also the offenders in the case (all incidents must have a victim recorded so in drug crimes the victims are also the offenders in most cases). Theft crimes, broken into some subcategories like "all other larceny" and "theft from motor vehicle" make up the three of the top six crimes (ranks 3, 5, and 6) people are victimized by. And the only remaining crime that accounts for 5% or more of offenses is burglary at 6.4%. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:victimCrimeCategory)The number and percent of crimes committed against each victim, counting all victims and then separately law enforcement officer victims, 2023. For victims with multiple crimes committed against them, this shows the first crime reported.
Crime Category First Year \# of Victims \% of Victims # of Officer Victims % of Officer Victims
Assault Offenses - Simple Assault 1991 2,195,115 15.77\% 55,194 64.25\%
Larceny/Theft Offenses - All Other Larceny 1991 1,429,317 10.27\% 0 0\%
Destruction/Damage/Vandalism of Property 1991 1,323,048 9.51\% 0 0\%
Drug/Narcotic Offenses - Drug/Narcotic Violations 1991 1,059,465 7.61\% - -
Larceny/Theft Offenses - Shoplifting 1991 985,502 7.08\% 0 0\%
Larceny/Theft Offenses - Theft From Motor Vehicle 1991 978,366 7.03\% 0 0\%
Motor Vehicle Theft 1991 872,932 6.27\% 0 0\%
Burglary/Breaking And Entering 1991 766,014 5.50\% 0 0\%
Assault Offenses - Aggravated Assault 1991 734,379 5.28\% 19,812 23.06\%
Assault Offenses - Intimidation 1991 695,310 5.00\% 10,838 12.62\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game 1991 364,120 2.62\% 0 0\%
Larceny/Theft Offenses - Theft From Building 1991 305,819 2.20\% 0 0\%
Weapon Law Violations - Weapon Law Violations 1991 270,726 1.95\% - -
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 1991 269,802 1.94\% - -
Robbery 1991 232,340 1.67\% - -
Fraud Offenses - Identity Theft 2015 195,639 1.41\% - -
Drug/Narcotic Offenses - Drug Equipment Violations 1991 171,174 1.23\% - -
Fraud Offenses - Credit Card/Atm Fraud 1991 161,428 1.16\% - -
Counterfeiting/Forgery 1991 148,349 1.07\% 0 0\%
Stolen Property Offenses (Receiving, Selling, Etc.) 1991 119,368 0.86\% 0 0\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) 1991 92,650 0.67\% 0 0\%
Fraud Offenses - Impersonation 1991 79,989 0.57\% 0 0\%
Sex Offenses - Rape 1991 78,648 0.57\% - -
Kidnapping/Abduction 1991 49,193 0.35\% 14 0.02\%
Pornography/Obscene Material 1991 45,160 0.32\% - -
Fraud Offenses - Wire Fraud 1991 42,649 0.31\% - -
Arson 1991 37,275 0.27\% 0 0\%
Embezzlement 1991 33,078 0.24\% - -
Larceny/Theft Offenses - Pocket-Picking 1991 26,829 0.19\% - -
Extortion/Blackmail 1991 26,361 0.19\% - -
Animal Cruelty 2015 21,898 0.16\% - -
Sex Offenses - Sodomy 1991 19,352 0.14\% - -
Murder/Nonnegligent Manslaughter 1991 16,144 0.12\% 47 0.05\%
Larceny/Theft Offenses - Purse-Snatching 1991 12,261 0.09\% - -
Prostitution Offenses - Prostitution 1991 8,545 0.06\% - -
Sex Offenses - Statutory Rape 1991 8,088 0.06\% - -
Sex Offenses - Sexual Assault With An Object 1991 7,318 0.05\% - -
Fraud Offenses - Hacking/Computer Invasion 2015 6,883 0.05\% - -
Fraud Offenses - Welfare Fraud 1991 5,972 0.04\% - -
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device 1991 5,044 0.04\% - -
Prostitution Offenses - Purchasing Prostitution 2013 2,780 0.02\% - -
Prostitution Offenses - Assisting Or Promoting Prostitution 1991 2,711 0.02\% - -
Negligent Manslaughter 1991 2,018 0.01\% - -
Human Trafficking - Commercial Sex Acts 2013 1,969 0.01\% - -
Sex Offenses - Incest 1991 1,253 0.01\% - -
Gambling Offenses - Operating/Promoting/Assisting Gambling 1991 998 0.01\% - -
Bribery 1991 712 0.01\% 0 0\%
Justifiable Homicide - Not A Crime 1991 691 0.00\% - -
Gambling Offenses - Betting/Wagering 1991 625 0.00\% - -
Human Trafficking - Involuntary Servitude 2014 592 0.00\% - -
Gambling Offenses - Gambling Equipment Violations 1991 487 0.00\% - -
Commerce Violations - Federal Liquor Offenses 2020 110 0.00\% - -
Fugitive Offenses - Flight To Avoid Prosecution 2021 100 0.00\% - -
Sex Offenses - Failure To Register As A Sex Offender 2019 41 0.00\% - -
Gambling Offenses - Sports Tampering 1994 7 0.00\% - -
Immigration Violations - Illegal Entry Into The United States 2020 3 0.00\% - -
Commerce Violations - Wildlife Trafficking 2023 2 0.00\% - -
Weapon Law Violations - Explosives 2021 1 0.00\% - -
Commerce Violations - Federal Tobacco Offenses 2021 1 0.00\% - -
Fraud Offenses - Money Laundering 2022 1 0.00\% - -
Total - 13,916,652 100\% - -
- - - -
-The share of victims when considering only the 1st offense reported compared to using all offenses, for murder and nonnegligent manslaughter, sex offenses, motor vehicle theft, and destruction of property/vandalism, 1991-2023. -

(\#fig:nibrsFirstVsAllOffensesMurders)The share of victims when considering only the 1st offense reported compared to using all offenses, for murder and nonnegligent manslaughter, sex offenses, motor vehicle theft, and destruction of property/vandalism, 1991-2023.

-
+ +\begin{longtable}[t]{l|l|r|r|r|l} +\caption{(\#tab:victimCrimeCategory)The number and percent of crimes committed against each victim, counting all victims and then separately law enforcement officer victims, 2023. For victims with multiple crimes committed against them, this shows the first crime reported.}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims & \# of Officer Victims & \% of Officer Victims\\ +\hline +\endfirsthead +\caption[]{(\#tab:victimCrimeCategory)The number and percent of crimes committed against each victim, counting all victims and then separately law enforcement officer victims, 2023. For victims with multiple crimes committed against them, this shows the first crime reported. \textit{(continued)}}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims & \# of Officer Victims & \% of Officer Victims\\ +\hline +\endhead +Assault Offenses - Simple Assault & 1991 & 2,195,115 & 15.77\textbackslash{}\% & 55,194 & 64.25\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & 1991 & 1,429,317 & 10.27\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & 1991 & 1,323,048 & 9.51\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & 1991 & 1,059,465 & 7.61\textbackslash{}\% & - & -\\ +\hline +Larceny/Theft Offenses - Shoplifting & 1991 & 985,502 & 7.08\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & 1991 & 978,366 & 7.03\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & 1991 & 872,932 & 6.27\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & 1991 & 766,014 & 5.50\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & 1991 & 734,379 & 5.28\textbackslash{}\% & 19,812 & 23.06\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & 1991 & 695,310 & 5.00\textbackslash{}\% & 10,838 & 12.62\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & 1991 & 364,120 & 2.62\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & 1991 & 305,819 & 2.20\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & 1991 & 270,726 & 1.95\textbackslash{}\% & - & -\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 1991 & 269,802 & 1.94\textbackslash{}\% & - & -\\ +\hline +Robbery & 1991 & 232,340 & 1.67\textbackslash{}\% & - & -\\ +\hline +Fraud Offenses - Identity Theft & 2015 & 195,639 & 1.41\textbackslash{}\% & - & -\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & 1991 & 171,174 & 1.23\textbackslash{}\% & - & -\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & 1991 & 161,428 & 1.16\textbackslash{}\% & - & -\\ +\hline +Counterfeiting/Forgery & 1991 & 148,349 & 1.07\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & 1991 & 119,368 & 0.86\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & 1991 & 92,650 & 0.67\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & 1991 & 79,989 & 0.57\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & 1991 & 78,648 & 0.57\textbackslash{}\% & - & -\\ +\hline +Kidnapping/Abduction & 1991 & 49,193 & 0.35\textbackslash{}\% & 14 & 0.02\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & 1991 & 45,160 & 0.32\textbackslash{}\% & - & -\\ +\hline +Fraud Offenses - Wire Fraud & 1991 & 42,649 & 0.31\textbackslash{}\% & - & -\\ +\hline +Arson & 1991 & 37,275 & 0.27\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Embezzlement & 1991 & 33,078 & 0.24\textbackslash{}\% & - & -\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & 1991 & 26,829 & 0.19\textbackslash{}\% & - & -\\ +\hline +Extortion/Blackmail & 1991 & 26,361 & 0.19\textbackslash{}\% & - & -\\ +\hline +Animal Cruelty & 2015 & 21,898 & 0.16\textbackslash{}\% & - & -\\ +\hline +Sex Offenses - Sodomy & 1991 & 19,352 & 0.14\textbackslash{}\% & - & -\\ +\hline +Murder/Nonnegligent Manslaughter & 1991 & 16,144 & 0.12\textbackslash{}\% & 47 & 0.05\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & 1991 & 12,261 & 0.09\textbackslash{}\% & - & -\\ +\hline +Prostitution Offenses - Prostitution & 1991 & 8,545 & 0.06\textbackslash{}\% & - & -\\ +\hline +Sex Offenses - Statutory Rape & 1991 & 8,088 & 0.06\textbackslash{}\% & - & -\\ +\hline +Sex Offenses - Sexual Assault With An Object & 1991 & 7,318 & 0.05\textbackslash{}\% & - & -\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & 2015 & 6,883 & 0.05\textbackslash{}\% & - & -\\ +\hline +Fraud Offenses - Welfare Fraud & 1991 & 5,972 & 0.04\textbackslash{}\% & - & -\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & 1991 & 5,044 & 0.04\textbackslash{}\% & - & -\\ +\hline +Prostitution Offenses - Purchasing Prostitution & 2013 & 2,780 & 0.02\textbackslash{}\% & - & -\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & 1991 & 2,711 & 0.02\textbackslash{}\% & - & -\\ +\hline +Negligent Manslaughter & 1991 & 2,018 & 0.01\textbackslash{}\% & - & -\\ +\hline +Human Trafficking - Commercial Sex Acts & 2013 & 1,969 & 0.01\textbackslash{}\% & - & -\\ +\hline +Sex Offenses - Incest & 1991 & 1,253 & 0.01\textbackslash{}\% & - & -\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & 1991 & 998 & 0.01\textbackslash{}\% & - & -\\ +\hline +Bribery & 1991 & 712 & 0.01\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & 1991 & 691 & 0.00\textbackslash{}\% & - & -\\ +\hline +Gambling Offenses - Betting/Wagering & 1991 & 625 & 0.00\textbackslash{}\% & - & -\\ +\hline +Human Trafficking - Involuntary Servitude & 2014 & 592 & 0.00\textbackslash{}\% & - & -\\ +\hline +Gambling Offenses - Gambling Equipment Violations & 1991 & 487 & 0.00\textbackslash{}\% & - & -\\ +\hline +Commerce Violations - Federal Liquor Offenses & 2020 & 110 & 0.00\textbackslash{}\% & - & -\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & 2021 & 100 & 0.00\textbackslash{}\% & - & -\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & 2019 & 41 & 0.00\textbackslash{}\% & - & -\\ +\hline +Gambling Offenses - Sports Tampering & 1994 & 7 & 0.00\textbackslash{}\% & - & -\\ +\hline +Immigration Violations - Illegal Entry Into The United States & 2020 & 3 & 0.00\textbackslash{}\% & - & -\\ +\hline +Commerce Violations - Wildlife Trafficking & 2023 & 2 & 0.00\textbackslash{}\% & - & -\\ +\hline +Weapon Law Violations - Explosives & 2021 & 1 & 0.00\textbackslash{}\% & - & -\\ +\hline +Commerce Violations - Federal Tobacco Offenses & 2021 & 1 & 0.00\textbackslash{}\% & - & -\\ +\hline +Fraud Offenses - Money Laundering & 2022 & 1 & 0.00\textbackslash{}\% & - & -\\ +\hline +Total & - & 13,916,652 & 100\textbackslash{}\% & - & -\\ +\hline +\end{longtable} + + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsFirstVsAllOffensesMurders-1} + +} + +\caption{The share of victims when considering only the 1st offense reported compared to using all offenses, for murder and nonnegligent manslaughter, sex offenses, motor vehicle theft, and destruction of property/vandalism, 1991-2023.}(\#fig:nibrsFirstVsAllOffensesMurders) +\end{figure} ## Victim type @@ -536,86 +172,50 @@ Table \@ref(tab:victimType) shows each of the victim types and how commonly they The next most common type is business at 15.6% of victims, "society/public" at 12.9% of victims, and the government in 1% of victims. When the victim is society/public that means that the offense is a "victimless crime" or one where there is no specific victim. This includes drug offenses, animal cruelty (animals cannon be victims in this data), prostitution-related offenses (purchasing, promoting, and being a prostitute), pornography/obscene materials, and weapon offenses. The remaining categories - financial institution, other victim type, unknown victim type, and religion organization - are each under 0.25% of victims. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:victimType)The distribution of the type of victim, 2023. Victim types are mutually exclusive.
Type of Victim First Year \# of Victims \% of Victims
Individual 1991 9,828,448 70.62\%
Business 1991 2,167,742 15.58\%
Society/Public 1991 1,584,720 11.39\%
Government 1991 155,343 1.12\%
Law Enforcement Officer 2002 85,905 0.62\%
Other 1991 39,381 0.28\%
Financial Institution 1991 21,677 0.16\%
Unknown 1991 18,041 0.13\%
Religious Organization 1991 15,395 0.11\%
Total - 13,916,652 100\%
- - - -
-Percent of victimizations whose victim type of 'law enforcement officer,' 'business,' or 'invidual,' 1991-2023. -

(\#fig:nibrsVictimPercentIndividualOfficer)Percent of victimizations whose victim type of 'law enforcement officer,' 'business,' or 'invidual,' 1991-2023.

-
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:victimType)The distribution of the type of victim, 2023. Victim types are mutually exclusive.}\\ +\hline +Type of Victim & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims\\ +\hline +\endfirsthead +\caption[]{(\#tab:victimType)The distribution of the type of victim, 2023. Victim types are mutually exclusive. \textit{(continued)}}\\ +\hline +Type of Victim & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims\\ +\hline +\endhead +Individual & 1991 & 9,828,448 & 70.62\textbackslash{}\%\\ +\hline +Business & 1991 & 2,167,742 & 15.58\textbackslash{}\%\\ +\hline +Society/Public & 1991 & 1,584,720 & 11.39\textbackslash{}\%\\ +\hline +Government & 1991 & 155,343 & 1.12\textbackslash{}\%\\ +\hline +Law Enforcement Officer & 2002 & 85,905 & 0.62\textbackslash{}\%\\ +\hline +Other & 1991 & 39,381 & 0.28\textbackslash{}\%\\ +\hline +Financial Institution & 1991 & 21,677 & 0.16\textbackslash{}\%\\ +\hline +Unknown & 1991 & 18,041 & 0.13\textbackslash{}\%\\ +\hline +Religious Organization & 1991 & 15,395 & 0.11\textbackslash{}\%\\ +\hline +Total & - & 13,916,652 & 100\textbackslash{}\%\\ +\hline +\end{longtable} + + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimPercentIndividualOfficer-1} + +} + +\caption{Percent of victimizations whose victim type of 'law enforcement officer,' 'business,' or 'invidual,' 1991-2023.}(\#fig:nibrsVictimPercentIndividualOfficer) +\end{figure} ## Injury @@ -639,667 +239,255 @@ Even though there are up to five victim injuries recorded, for the below graphs Figure \@ref(fig:victimInjury) shows the eight injury categories and how common they are for all victims with this information reported. The most common type is "none" at 52.6% of injuries which means the victim did not suffer any injuries at all. This is followed by 42.0% of victims suffering "apparent minor injuries." The six serious injuries are far lesson common and given that nearly a third of victims suffer none or minor injuries are hard to see on the graph. To make it easier to see, Figure \@ref(fig:victimInjuryExcludeNone) shows the breakdown in victim injury excluding those who did not suffer an injury or those who suffered a minor injury. -
-The distribution of the injury sustained by the victim, 2023. Only individual and law enforcement officer victims have this variable available. -

(\#fig:victimInjury)The distribution of the injury sustained by the victim, 2023. Only individual and law enforcement officer victims have this variable available.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/victimInjury-1} + +} + +\caption{The distribution of the injury sustained by the victim, 2023. Only individual and law enforcement officer victims have this variable available.}(\#fig:victimInjury) +\end{figure} For the group who suffered one of the six more serious injury types, 32.1% suffered an "other major injury" which is a serious injury other than one of the other categories. This is followed by 25.8% having a serious laceration (a laceration is a cut), 21.6% having a possible internal injury, and 12.5% having an apparent broken bone. About 6.5% of these victims became unconscious at some point in the incident, and 1.5% lost at least one tooth. Trends for law enforcement officer victims (not shown) are nearly identical for those with an injury but have more victims reporting no injury at all relative to non-law enforcement officer victims. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseCrimeInjury)The number and percent of victim injury by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to five injuries per victim; in this table we only use the first injury reported. There can be up to 10 offenses per victim; in this table we only use the first offense reported.
Crime Injury \# of Offenses \% of Offenses
Assault Offenses - Aggravated Assault None 360,659 49.11\%
Assault Offenses - Aggravated Assault Apparent Minor Injuries 194,088 26.43\%
Assault Offenses - Aggravated Assault Other Major Injury 69,039 9.40\%
Assault Offenses - Aggravated Assault Severe Laceration 44,958 6.12\%
Assault Offenses - Aggravated Assault Possible Internal Injury 35,753 4.87\%
Assault Offenses - Aggravated Assault Apparent Broken Bones 18,040 2.46\%
Assault Offenses - Aggravated Assault Unconsciousness 9,336 1.27\%
Assault Offenses - Aggravated Assault Loss of Teeth 2,506 0.34\%
Assault Offenses - Aggravated Assault Total 734,379 100\%
Assault Offenses - Simple Assault Apparent Minor Injuries 1,109,178 50.53\%
Assault Offenses - Simple Assault None 1,085,936 49.47\%
Assault Offenses - Simple Assault Other Major Injury 1 0.00\%
Assault Offenses - Simple Assault Total 2,195,115 100\%
Extortion/Blackmail None 25,868 98.13\%
Extortion/Blackmail Unknown 378 1.43\%
Extortion/Blackmail Apparent Minor Injuries 82 0.31\%
Extortion/Blackmail Other Major Injury 18 0.07\%
Extortion/Blackmail Loss of Teeth 5 0.02\%
Extortion/Blackmail Unconsciousness 4 0.02\%
Extortion/Blackmail Severe Laceration 3 0.01\%
Extortion/Blackmail Apparent Broken Bones 2 0.01\%
Extortion/Blackmail Possible Internal Injury 1 0.00\%
Extortion/Blackmail Total 26,361 100\%
Human Trafficking - Commercial Sex Acts None 1,819 92.38\%
Human Trafficking - Commercial Sex Acts Apparent Minor Injuries 98 4.98\%
Human Trafficking - Commercial Sex Acts Possible Internal Injury 25 1.27\%
Human Trafficking - Commercial Sex Acts Other Major Injury 15 0.76\%
Human Trafficking - Commercial Sex Acts Apparent Broken Bones 8 0.41\%
Human Trafficking - Commercial Sex Acts Unconsciousness 2 0.10\%
Human Trafficking - Commercial Sex Acts Loss of Teeth 2 0.10\%
Human Trafficking - Commercial Sex Acts Total 1,969 100\%
Human Trafficking - Involuntary Servitude None 541 91.39\%
Human Trafficking - Involuntary Servitude Apparent Minor Injuries 40 6.76\%
Human Trafficking - Involuntary Servitude Other Major Injury 6 1.01\%
Human Trafficking - Involuntary Servitude Possible Internal Injury 3 0.51\%
Human Trafficking - Involuntary Servitude Apparent Broken Bones 2 0.34\%
Human Trafficking - Involuntary Servitude Total 592 100\%
Kidnapping/Abduction None 28,007 56.93\%
Kidnapping/Abduction Apparent Minor Injuries 16,718 33.98\%
Kidnapping/Abduction Possible Internal Injury 1,598 3.25\%
Kidnapping/Abduction Other Major Injury 1,424 2.89\%
Kidnapping/Abduction Severe Laceration 589 1.20\%
Kidnapping/Abduction Apparent Broken Bones 411 0.84\%
Kidnapping/Abduction Unconsciousness 400 0.81\%
Kidnapping/Abduction Loss of Teeth 46 0.09\%
Kidnapping/Abduction Total 49,193 100\%
Murder/Nonnegligent Manslaughter Unknown 15,826 98.03\%
Murder/Nonnegligent Manslaughter Other Major Injury 225 1.39\%
Murder/Nonnegligent Manslaughter Possible Internal Injury 28 0.17\%
Murder/Nonnegligent Manslaughter None 23 0.14\%
Murder/Nonnegligent Manslaughter Unconsciousness 15 0.09\%
Murder/Nonnegligent Manslaughter Severe Laceration 14 0.09\%
Murder/Nonnegligent Manslaughter Apparent Broken Bones 7 0.04\%
Murder/Nonnegligent Manslaughter Apparent Minor Injuries 6 0.04\%
Murder/Nonnegligent Manslaughter Total 16,144 100\%
Robbery None 137,133 59.02\%
Robbery Apparent Minor Injuries 50,658 21.80\%
Robbery Unknown 33,999 14.63\%
Robbery Other Major Injury 3,366 1.45\%
Robbery Severe Laceration 3,271 1.41\%
Robbery Possible Internal Injury 2,088 0.90\%
Robbery Apparent Broken Bones 1,050 0.45\%
Robbery Unconsciousness 587 0.25\%
Robbery Loss of Teeth 188 0.08\%
Robbery Total 232,340 100\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) None 85,691 92.49\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Apparent Minor Injuries 5,193 5.60\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Possible Internal Injury 1,089 1.18\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Other Major Injury 510 0.55\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Unconsciousness 82 0.09\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Apparent Broken Bones 38 0.04\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Severe Laceration 33 0.04\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Loss of Teeth 14 0.02\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Total 92,650 100\%
Sex Offenses - Rape None 57,292 72.85\%
Sex Offenses - Rape Apparent Minor Injuries 13,731 17.46\%
Sex Offenses - Rape Possible Internal Injury 5,547 7.05\%
Sex Offenses - Rape Other Major Injury 1,256 1.60\%
Sex Offenses - Rape Unconsciousness 574 0.73\%
Sex Offenses - Rape Severe Laceration 132 0.17\%
Sex Offenses - Rape Apparent Broken Bones 92 0.12\%
Sex Offenses - Rape Loss of Teeth 24 0.03\%
Sex Offenses - Rape Total 78,648 100\%
Sex Offenses - Sexual Assault With An Object None 5,457 74.57\%
Sex Offenses - Sexual Assault With An Object Apparent Minor Injuries 1,165 15.92\%
Sex Offenses - Sexual Assault With An Object Possible Internal Injury 565 7.72\%
Sex Offenses - Sexual Assault With An Object Other Major Injury 84 1.15\%
Sex Offenses - Sexual Assault With An Object Unconsciousness 24 0.33\%
Sex Offenses - Sexual Assault With An Object Severe Laceration 12 0.16\%
Sex Offenses - Sexual Assault With An Object Apparent Broken Bones 9 0.12\%
Sex Offenses - Sexual Assault With An Object Loss of Teeth 2 0.03\%
Sex Offenses - Sexual Assault With An Object Total 7,318 100\%
Sex Offenses - Sodomy None 15,728 81.27\%
Sex Offenses - Sodomy Apparent Minor Injuries 2,321 11.99\%
Sex Offenses - Sodomy Possible Internal Injury 987 5.10\%
Sex Offenses - Sodomy Other Major Injury 196 1.01\%
Sex Offenses - Sodomy Unconsciousness 72 0.37\%
Sex Offenses - Sodomy Severe Laceration 30 0.16\%
Sex Offenses - Sodomy Apparent Broken Bones 16 0.08\%
Sex Offenses - Sodomy Loss of Teeth 2 0.01\%
Sex Offenses - Sodomy Total 19,352 100\%
Sex Offenses - Statutory Rape Unknown 8,054 99.58\%
Sex Offenses - Statutory Rape None 30 0.37\%
Sex Offenses - Statutory Rape Apparent Minor Injuries 4 0.05\%
Sex Offenses - Statutory Rape Total 8,088 100\%
- - - - - -
-Victim injury for assault offenses, by injury severity, 1991-2023. Major injury is all injury types other than 'none' and 'apparent minor injuries' which are 'other major injury,' 'severe laceration,' possible internal injury,' apparent broken bones,' 'unconsciousness,' and 'loss of teeth.' -

(\#fig:nibrsVictimAssaultInjury)Victim injury for assault offenses, by injury severity, 1991-2023. Major injury is all injury types other than 'none' and 'apparent minor injuries' which are 'other major injury,' 'severe laceration,' possible internal injury,' apparent broken bones,' 'unconsciousness,' and 'loss of teeth.'

-
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseCrimeInjury)The number and percent of victim injury by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to five injuries per victim; in this table we only use the first injury reported. There can be up to 10 offenses per victim; in this table we only use the first offense reported.}\\ +\hline +Crime & Injury & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseCrimeInjury)The number and percent of victim injury by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to five injuries per victim; in this table we only use the first injury reported. There can be up to 10 offenses per victim; in this table we only use the first offense reported. \textit{(continued)}}\\ +\hline +Crime & Injury & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Assault Offenses - Aggravated Assault & None & 360,659 & 49.11\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Apparent Minor Injuries & 194,088 & 26.43\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Other Major Injury & 69,039 & 9.40\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Severe Laceration & 44,958 & 6.12\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Possible Internal Injury & 35,753 & 4.87\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Apparent Broken Bones & 18,040 & 2.46\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Unconsciousness & 9,336 & 1.27\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Loss of Teeth & 2,506 & 0.34\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Total & 734,379 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Apparent Minor Injuries & 1,109,178 & 50.53\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & None & 1,085,936 & 49.47\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Other Major Injury & 1 & 0.00\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Total & 2,195,115 & 100\textbackslash{}\%\\ +\hline +Extortion/Blackmail & None & 25,868 & 98.13\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Unknown & 378 & 1.43\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Apparent Minor Injuries & 82 & 0.31\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Other Major Injury & 18 & 0.07\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Loss of Teeth & 5 & 0.02\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Unconsciousness & 4 & 0.02\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Severe Laceration & 3 & 0.01\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Apparent Broken Bones & 2 & 0.01\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Possible Internal Injury & 1 & 0.00\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Total & 26,361 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & None & 1,819 & 92.38\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Apparent Minor Injuries & 98 & 4.98\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Possible Internal Injury & 25 & 1.27\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Other Major Injury & 15 & 0.76\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Apparent Broken Bones & 8 & 0.41\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Unconsciousness & 2 & 0.10\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Loss of Teeth & 2 & 0.10\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Total & 1,969 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & None & 541 & 91.39\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Apparent Minor Injuries & 40 & 6.76\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Other Major Injury & 6 & 1.01\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Possible Internal Injury & 3 & 0.51\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Apparent Broken Bones & 2 & 0.34\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Total & 592 & 100\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & None & 28,007 & 56.93\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Apparent Minor Injuries & 16,718 & 33.98\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Possible Internal Injury & 1,598 & 3.25\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Other Major Injury & 1,424 & 2.89\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Severe Laceration & 589 & 1.20\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Apparent Broken Bones & 411 & 0.84\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Unconsciousness & 400 & 0.81\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Loss of Teeth & 46 & 0.09\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Total & 49,193 & 100\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Unknown & 15,826 & 98.03\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Other Major Injury & 225 & 1.39\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Possible Internal Injury & 28 & 0.17\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & None & 23 & 0.14\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Unconsciousness & 15 & 0.09\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Severe Laceration & 14 & 0.09\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Apparent Broken Bones & 7 & 0.04\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Apparent Minor Injuries & 6 & 0.04\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Total & 16,144 & 100\textbackslash{}\%\\ +\hline +Robbery & None & 137,133 & 59.02\textbackslash{}\%\\ +\hline +Robbery & Apparent Minor Injuries & 50,658 & 21.80\textbackslash{}\%\\ +\hline +Robbery & Unknown & 33,999 & 14.63\textbackslash{}\%\\ +\hline +Robbery & Other Major Injury & 3,366 & 1.45\textbackslash{}\%\\ +\hline +Robbery & Severe Laceration & 3,271 & 1.41\textbackslash{}\%\\ +\hline +Robbery & Possible Internal Injury & 2,088 & 0.90\textbackslash{}\%\\ +\hline +Robbery & Apparent Broken Bones & 1,050 & 0.45\textbackslash{}\%\\ +\hline +Robbery & Unconsciousness & 587 & 0.25\textbackslash{}\%\\ +\hline +Robbery & Loss of Teeth & 188 & 0.08\textbackslash{}\%\\ +\hline +Robbery & Total & 232,340 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & None & 85,691 & 92.49\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Apparent Minor Injuries & 5,193 & 5.60\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Possible Internal Injury & 1,089 & 1.18\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Other Major Injury & 510 & 0.55\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Unconsciousness & 82 & 0.09\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Apparent Broken Bones & 38 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Severe Laceration & 33 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Loss of Teeth & 14 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Total & 92,650 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & None & 57,292 & 72.85\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Apparent Minor Injuries & 13,731 & 17.46\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Possible Internal Injury & 5,547 & 7.05\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Other Major Injury & 1,256 & 1.60\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Unconsciousness & 574 & 0.73\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Severe Laceration & 132 & 0.17\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Apparent Broken Bones & 92 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Loss of Teeth & 24 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Total & 78,648 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & None & 5,457 & 74.57\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Apparent Minor Injuries & 1,165 & 15.92\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Possible Internal Injury & 565 & 7.72\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Other Major Injury & 84 & 1.15\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Unconsciousness & 24 & 0.33\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Severe Laceration & 12 & 0.16\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Apparent Broken Bones & 9 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Loss of Teeth & 2 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Total & 7,318 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & None & 15,728 & 81.27\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Apparent Minor Injuries & 2,321 & 11.99\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Possible Internal Injury & 987 & 5.10\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Other Major Injury & 196 & 1.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Unconsciousness & 72 & 0.37\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Severe Laceration & 30 & 0.16\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Apparent Broken Bones & 16 & 0.08\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Loss of Teeth & 2 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Total & 19,352 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Unknown & 8,054 & 99.58\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & None & 30 & 0.37\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Apparent Minor Injuries & 4 & 0.05\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Total & 8,088 & 100\textbackslash{}\%\\ +\hline +\end{longtable} + + + + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimAssaultInjury-1} + +} + +\caption{Victim injury for assault offenses, by injury severity, 1991-2023. Major injury is all injury types other than 'none' and 'apparent minor injuries' which are 'other major injury,' 'severe laceration,' possible internal injury,' apparent broken bones,' 'unconsciousness,' and 'loss of teeth.'}(\#fig:nibrsVictimAssaultInjury) +\end{figure} ## Relationship to offender @@ -1308,1959 +496,657 @@ One interesting variable in this segment is that we know the relationship betwee Table \@ref(tab:victimRelationship) shows each of the relationship categories and how frequently they occur. The most common relationship category, accounting for 19.8% of relationships was that the relationship was unknown. This is followed by 14.4% of victims being the boyfriend or girlfriend (we can find out which by looking at their sex) of the offender. Then victims were the acquaintance of or a stranger to the offender at 13% and 12.8%, respectively. The only other categories that account for over 5% of victims are the victim being "otherwise known" to the offender at 9.5% and being the spouse of the offender at 5.4%. One relationship to note is that when the victim "was child" that means they were the offender's biological or adopted child. This does not mean that they are actually a child (<18 years old). - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:victimRelationship)The distribution of the relationship between the victim and the offender. Only individual and law enforcement officer victims have this variable available, 2023.
Crime Category First Year \# of Victims \% of Victims \# of Officer Victims \% of Officer Victims
Relationship Unknown 1991 1,363,398 25.31\% 18,636 21.84\%
Victim Was Stranger 1991 885,609 16.44\% 49,927 58.52\%
Victim Was Boyfriend/Girlfriend 1991 577,023 10.71\% 119 0.14\%
Victim Was Acquaintance 1991 564,856 10.49\% 2,460 2.88\%
Victim Was Otherwise Known 1991 427,730 7.94\% 13,625 15.97\%
Victim Was Spouse 1991 233,719 4.34\% 46 0.05\%
Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 2017 192,551 3.57\% 19 0.02\%
Victim Was Parent 1991 191,072 3.55\% 27 0.03\%
Victim Was Child 1991 145,138 2.69\% 5 0.01\%
Victim Was Other Family Member 1991 125,412 2.33\% 45 0.05\%
Victim Was Sibling (Brother Or Sister) 1991 120,732 2.24\% 16 0.02\%
Victim Was Friend 1991 105,166 1.95\% 11 0.01\%
Victim Was Offender 1991 100,034 1.86\% 6 0.01\%
Victim Was Neighbor 1991 95,074 1.77\% 24 0.03\%
Victim Was Ex-Spouse 1991 86,707 1.61\% 24 0.03\%
Victim Was Common-Law Spouse 1991 26,392 0.49\% 11 0.01\%
Victim Was In-Law 1991 23,378 0.43\% 45 0.05\%
Victim Was Step-Child 1991 21,505 0.40\% 3 0.00\%
Victim Was Grandparent 1991 21,361 0.40\% 7 0.01\%
Victim Was Step-Parent 1991 17,322 0.32\% 3 0.00\%
Victim Was Employee 1991 16,410 0.30\% 229 0.27\%
Victim Was Employer 1991 14,967 0.28\% 8 0.01\%
Victim Was Child of Boyfriend/Girlfriend 1991 13,662 0.25\% 2 0.00\%
Victim Was Grandchild 1991 9,814 0.18\% 0 0.00\%
Victim Was Step-Sibling (Stepbrother Or Stepsister) 1991 4,775 0.09\% 13 0.02\%
Victim Was Babysittee (The Baby) 1991 2,498 0.05\% 2 0.00\%
Victim Was Cohabitant 2022 17 0.00\% 0 0.00\%
Victim Was Foster Child 2023 2 0.00\% 0 0.00\%
Victim Was Foster Parent 2023 2 0.00\% 0 0.00\%
Total - 5,386,326 100\% 85,313 100\%
+ +\begin{longtable}[t]{l|l|r|r|r|l} +\caption{(\#tab:victimRelationship)The distribution of the relationship between the victim and the offender. Only individual and law enforcement officer victims have this variable available, 2023.}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims & \textbackslash{}\# of Officer Victims & \textbackslash{}\% of Officer Victims\\ +\hline +\endfirsthead +\caption[]{(\#tab:victimRelationship)The distribution of the relationship between the victim and the offender. Only individual and law enforcement officer victims have this variable available, 2023. \textit{(continued)}}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims & \textbackslash{}\# of Officer Victims & \textbackslash{}\% of Officer Victims\\ +\hline +\endhead +Relationship Unknown & 1991 & 1,363,398 & 25.31\textbackslash{}\% & 18,636 & 21.84\textbackslash{}\%\\ +\hline +Victim Was Stranger & 1991 & 885,609 & 16.44\textbackslash{}\% & 49,927 & 58.52\textbackslash{}\%\\ +\hline +Victim Was Boyfriend/Girlfriend & 1991 & 577,023 & 10.71\textbackslash{}\% & 119 & 0.14\textbackslash{}\%\\ +\hline +Victim Was Acquaintance & 1991 & 564,856 & 10.49\textbackslash{}\% & 2,460 & 2.88\textbackslash{}\%\\ +\hline +Victim Was Otherwise Known & 1991 & 427,730 & 7.94\textbackslash{}\% & 13,625 & 15.97\textbackslash{}\%\\ +\hline +Victim Was Spouse & 1991 & 233,719 & 4.34\textbackslash{}\% & 46 & 0.05\textbackslash{}\%\\ +\hline +Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 2017 & 192,551 & 3.57\textbackslash{}\% & 19 & 0.02\textbackslash{}\%\\ +\hline +Victim Was Parent & 1991 & 191,072 & 3.55\textbackslash{}\% & 27 & 0.03\textbackslash{}\%\\ +\hline +Victim Was Child & 1991 & 145,138 & 2.69\textbackslash{}\% & 5 & 0.01\textbackslash{}\%\\ +\hline +Victim Was Other Family Member & 1991 & 125,412 & 2.33\textbackslash{}\% & 45 & 0.05\textbackslash{}\%\\ +\hline +Victim Was Sibling (Brother Or Sister) & 1991 & 120,732 & 2.24\textbackslash{}\% & 16 & 0.02\textbackslash{}\%\\ +\hline +Victim Was Friend & 1991 & 105,166 & 1.95\textbackslash{}\% & 11 & 0.01\textbackslash{}\%\\ +\hline +Victim Was Offender & 1991 & 100,034 & 1.86\textbackslash{}\% & 6 & 0.01\textbackslash{}\%\\ +\hline +Victim Was Neighbor & 1991 & 95,074 & 1.77\textbackslash{}\% & 24 & 0.03\textbackslash{}\%\\ +\hline +Victim Was Ex-Spouse & 1991 & 86,707 & 1.61\textbackslash{}\% & 24 & 0.03\textbackslash{}\%\\ +\hline +Victim Was Common-Law Spouse & 1991 & 26,392 & 0.49\textbackslash{}\% & 11 & 0.01\textbackslash{}\%\\ +\hline +Victim Was In-Law & 1991 & 23,378 & 0.43\textbackslash{}\% & 45 & 0.05\textbackslash{}\%\\ +\hline +Victim Was Step-Child & 1991 & 21,505 & 0.40\textbackslash{}\% & 3 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Grandparent & 1991 & 21,361 & 0.40\textbackslash{}\% & 7 & 0.01\textbackslash{}\%\\ +\hline +Victim Was Step-Parent & 1991 & 17,322 & 0.32\textbackslash{}\% & 3 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Employee & 1991 & 16,410 & 0.30\textbackslash{}\% & 229 & 0.27\textbackslash{}\%\\ +\hline +Victim Was Employer & 1991 & 14,967 & 0.28\textbackslash{}\% & 8 & 0.01\textbackslash{}\%\\ +\hline +Victim Was Child of Boyfriend/Girlfriend & 1991 & 13,662 & 0.25\textbackslash{}\% & 2 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Grandchild & 1991 & 9,814 & 0.18\textbackslash{}\% & 0 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Step-Sibling (Stepbrother Or Stepsister) & 1991 & 4,775 & 0.09\textbackslash{}\% & 13 & 0.02\textbackslash{}\%\\ +\hline +Victim Was Babysittee (The Baby) & 1991 & 2,498 & 0.05\textbackslash{}\% & 2 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Cohabitant & 2022 & 17 & 0.00\textbackslash{}\% & 0 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Foster Child & 2023 & 2 & 0.00\textbackslash{}\% & 0 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Foster Parent & 2023 & 2 & 0.00\textbackslash{}\% & 0 & 0.00\textbackslash{}\%\\ +\hline +Total & - & 5,386,326 & 100\textbackslash{}\% & 85,313 & 100\textbackslash{}\%\\ +\hline +\end{longtable} We also know the relationship between victim and offender when the victim is a law enforcement officer. As shown in Table \@ref(tab:victimRelationshipPolice), most of the time the officer did not know the offender, with 58.9% of victimizations being this relationship type. This is followed by 18.7% where the officer knew the offender, including if they were familiar with the person by arresting or stopping them previously. In about 18.5% we do not know the relationship as it is unknown and in 3.2% the officer and the offender were acquaintances. There are also a number of unlikely (and some impossible) relationships like the three in which the officer was the offender's child and the one in which the officer was a baby who was abused by their babysitter. These seem to be clear indications that there are some data errors with this variable. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseVictimRelationship)The number and percent of victim relationships to offender by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to 10 victim-offender relationships per victim; in this table we only use the first relationship reported. The top five most common relationships are shown, all other relationships are combined into an 'All Other' category.
Crime Relationship to Offender \# of Offenses \% of Offenses
Arson Relationship Unknown 3,384 38.88\%
Arson Victim Was Stranger 1,187 13.64\%
Arson Victim Was Acquaintance 857 9.85\%
Arson Victim Was Otherwise Known 768 8.82\%
Arson Victim Was Parent 509 5.85\%
Arson All Other 1,998 22.94\%
Arson Total 8,703 100\%
Assault Offenses - Aggravated Assault Relationship Unknown 130,972 20.44\%
Assault Offenses - Aggravated Assault Victim Was Stranger 110,612 17.26\%
Assault Offenses - Aggravated Assault Victim Was Boyfriend/Girlfriend 86,718 13.53\%
Assault Offenses - Aggravated Assault Victim Was Acquaintance 72,366 11.29\%
Assault Offenses - Aggravated Assault Victim Was Otherwise Known 54,343 8.48\%
Assault Offenses - Aggravated Assault All Other 185,872 28.99\%
Assault Offenses - Aggravated Assault Total 640,883 100\%
Assault Offenses - Intimidation Victim Was Stranger 110,982 17.47\%
Assault Offenses - Intimidation Relationship Unknown 100,315 15.79\%
Assault Offenses - Intimidation Victim Was Acquaintance 99,324 15.64\%
Assault Offenses - Intimidation Victim Was Otherwise Known 72,784 11.46\%
Assault Offenses - Intimidation Victim Was Boyfriend/Girlfriend 40,247 6.34\%
Assault Offenses - Intimidation All Other 211,541 33.32\%
Assault Offenses - Intimidation Total 635,193 100\%
Assault Offenses - Simple Assault Victim Was Boyfriend/Girlfriend 382,337 18.24\%
Assault Offenses - Simple Assault Victim Was Acquaintance 232,009 11.07\%
Assault Offenses - Simple Assault Victim Was Stranger 226,920 10.83\%
Assault Offenses - Simple Assault Relationship Unknown 205,105 9.79\%
Assault Offenses - Simple Assault Victim Was Otherwise Known 194,410 9.28\%
Assault Offenses - Simple Assault All Other 855,156 40.8\%
Assault Offenses - Simple Assault Total 2,095,937 100\%
Bribery Victim Was Stranger 92 29.87\%
Bribery Victim Was Otherwise Known 48 15.58\%
Bribery Relationship Unknown 46 14.94\%
Bribery Victim Was Acquaintance 31 10.06\%
Bribery Victim Was Ex-Spouse 19 6.17\%
Bribery All Other 72 23.36\%
Bribery Total 308 100\%
Burglary/Breaking And Entering Relationship Unknown 79,200 48.71\%
Burglary/Breaking And Entering Victim Was Stranger 38,700 23.80\%
Burglary/Breaking And Entering Victim Was Acquaintance 11,187 6.88\%
Burglary/Breaking And Entering Victim Was Otherwise Known 8,708 5.36\%
Burglary/Breaking And Entering Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 6,076 3.74\%
Burglary/Breaking And Entering All Other 18,740 11.53\%
Burglary/Breaking And Entering Total 162,611 100\%
Counterfeiting/Forgery Relationship Unknown 11,272 47.62\%
Counterfeiting/Forgery Victim Was Stranger 6,933 29.29\%
Counterfeiting/Forgery Victim Was Acquaintance 1,364 5.76\%
Counterfeiting/Forgery Victim Was Otherwise Known 1,155 4.88\%
Counterfeiting/Forgery Victim Was Parent 392 1.66\%
Counterfeiting/Forgery All Other 2,557 10.78\%
Counterfeiting/Forgery Total 23,673 100\%
Destruction/Damage/Vandalism of Property Relationship Unknown 125,739 38.32\%
Destruction/Damage/Vandalism of Property Victim Was Stranger 53,892 16.43\%
Destruction/Damage/Vandalism of Property Victim Was Acquaintance 26,496 8.08\%
Destruction/Damage/Vandalism of Property Victim Was Otherwise Known 23,036 7.02\%
Destruction/Damage/Vandalism of Property Victim Was Boyfriend/Girlfriend 19,365 5.90\%
Destruction/Damage/Vandalism of Property All Other 79,580 24.26\%
Destruction/Damage/Vandalism of Property Total 328,108 100\%
Embezzlement Victim Was Employer 799 19.95\%
Embezzlement Victim Was Acquaintance 580 14.48\%
Embezzlement Relationship Unknown 573 14.30\%
Embezzlement Victim Was Otherwise Known 447 11.16\%
Embezzlement Victim Was Stranger 405 10.11\%
Embezzlement All Other 1,202 29.99\%
Embezzlement Total 4,006 100\%
Extortion/Blackmail Relationship Unknown 3,999 52.53\%
Extortion/Blackmail Victim Was Stranger 1,741 22.87\%
Extortion/Blackmail Victim Was Acquaintance 715 9.39\%
Extortion/Blackmail Victim Was Otherwise Known 425 5.58\%
Extortion/Blackmail Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 226 2.97\%
Extortion/Blackmail All Other 507 6.7\%
Extortion/Blackmail Total 7,613 100\%
Fraud Offenses - Credit Card/Atm Fraud Relationship Unknown 13,475 46.29\%
Fraud Offenses - Credit Card/Atm Fraud Victim Was Stranger 5,746 19.74\%
Fraud Offenses - Credit Card/Atm Fraud Victim Was Acquaintance 2,428 8.34\%
Fraud Offenses - Credit Card/Atm Fraud Victim Was Otherwise Known 1,626 5.59\%
Fraud Offenses - Credit Card/Atm Fraud Victim Was Parent 1,256 4.31\%
Fraud Offenses - Credit Card/Atm Fraud All Other 4,581 15.74\%
Fraud Offenses - Credit Card/Atm Fraud Total 29,112 100\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Relationship Unknown 31,220 45.82\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Victim Was Stranger 17,750 26.05\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Victim Was Acquaintance 6,011 8.82\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Victim Was Otherwise Known 5,257 7.72\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Victim Was Friend 1,234 1.81\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game All Other 6,665 9.78\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Total 68,137 100\%
Fraud Offenses - Hacking/Computer Invasion Relationship Unknown 656 47.13\%
Fraud Offenses - Hacking/Computer Invasion Victim Was Stranger 225 16.16\%
Fraud Offenses - Hacking/Computer Invasion Victim Was Acquaintance 113 8.12\%
Fraud Offenses - Hacking/Computer Invasion Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 100 7.18\%
Fraud Offenses - Hacking/Computer Invasion Victim Was Otherwise Known 91 6.54\%
Fraud Offenses - Hacking/Computer Invasion All Other 207 14.88\%
Fraud Offenses - Hacking/Computer Invasion Total 1,392 100\%
Fraud Offenses - Identity Theft Relationship Unknown 30,814 65.57\%
Fraud Offenses - Identity Theft Victim Was Stranger 8,814 18.76\%
Fraud Offenses - Identity Theft Victim Was Acquaintance 1,331 2.83\%
Fraud Offenses - Identity Theft Victim Was Otherwise Known 1,210 2.57\%
Fraud Offenses - Identity Theft Victim Was Sibling (Brother Or Sister) 1,082 2.30\%
Fraud Offenses - Identity Theft All Other 3,741 7.97\%
Fraud Offenses - Identity Theft Total 46,992 100\%
Fraud Offenses - Impersonation Relationship Unknown 8,505 51.08\%
Fraud Offenses - Impersonation Victim Was Stranger 3,844 23.09\%
Fraud Offenses - Impersonation Victim Was Sibling (Brother Or Sister) 1,278 7.68\%
Fraud Offenses - Impersonation Victim Was Acquaintance 697 4.19\%
Fraud Offenses - Impersonation Victim Was Otherwise Known 677 4.07\%
Fraud Offenses - Impersonation All Other 1,648 9.89\%
Fraud Offenses - Impersonation Total 16,649 100\%
Fraud Offenses - Welfare Fraud Relationship Unknown 236 45.83\%
Fraud Offenses - Welfare Fraud Victim Was Acquaintance 54 10.49\%
Fraud Offenses - Welfare Fraud Victim Was Otherwise Known 48 9.32\%
Fraud Offenses - Welfare Fraud Victim Was Stranger 47 9.13\%
Fraud Offenses - Welfare Fraud Victim Was Friend 24 4.66\%
Fraud Offenses - Welfare Fraud All Other 106 20.58\%
Fraud Offenses - Welfare Fraud Total 515 100\%
Fraud Offenses - Wire Fraud Relationship Unknown 3,694 52.85\%
Fraud Offenses - Wire Fraud Victim Was Stranger 1,701 24.34\%
Fraud Offenses - Wire Fraud Victim Was Acquaintance 452 6.47\%
Fraud Offenses - Wire Fraud Victim Was Otherwise Known 370 5.29\%
Fraud Offenses - Wire Fraud Victim Was Parent 176 2.52\%
Fraud Offenses - Wire Fraud All Other 596 8.52\%
Fraud Offenses - Wire Fraud Total 6,989 100\%
Human Trafficking - Commercial Sex Acts Relationship Unknown 373 24.35\%
Human Trafficking - Commercial Sex Acts Victim Was Acquaintance 356 23.24\%
Human Trafficking - Commercial Sex Acts Victim Was Stranger 274 17.89\%
Human Trafficking - Commercial Sex Acts Victim Was Otherwise Known 200 13.05\%
Human Trafficking - Commercial Sex Acts Victim Was Boyfriend/Girlfriend 106 6.92\%
Human Trafficking - Commercial Sex Acts All Other 223 14.57\%
Human Trafficking - Commercial Sex Acts Total 1,532 100\%
Human Trafficking - Involuntary Servitude Relationship Unknown 183 36.53\%
Human Trafficking - Involuntary Servitude Victim Was Acquaintance 96 19.16\%
Human Trafficking - Involuntary Servitude Victim Was Stranger 81 16.17\%
Human Trafficking - Involuntary Servitude Victim Was Otherwise Known 48 9.58\%
Human Trafficking - Involuntary Servitude Victim Was Employee 29 5.79\%
Human Trafficking - Involuntary Servitude All Other 64 12.78\%
Human Trafficking - Involuntary Servitude Total 501 100\%
Justifiable Homicide - Not A Crime Victim Was Stranger 285 42.04\%
Justifiable Homicide - Not A Crime Relationship Unknown 155 22.86\%
Justifiable Homicide - Not A Crime Victim Was Acquaintance 71 10.47\%
Justifiable Homicide - Not A Crime Victim Was Otherwise Known 71 10.47\%
Justifiable Homicide - Not A Crime Victim Was Friend 15 2.21\%
Justifiable Homicide - Not A Crime All Other 81 11.95\%
Justifiable Homicide - Not A Crime Total 678 100\%
Kidnapping/Abduction Victim Was Boyfriend/Girlfriend 13,924 29.66\%
Kidnapping/Abduction Relationship Unknown 4,577 9.75\%
Kidnapping/Abduction Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 4,304 9.17\%
Kidnapping/Abduction Victim Was Stranger 3,964 8.44\%
Kidnapping/Abduction Victim Was Spouse 3,906 8.32\%
Kidnapping/Abduction All Other 16,271 34.66\%
Kidnapping/Abduction Total 46,946 100\%
Larceny/Theft Offenses - All Other Larceny Relationship Unknown 155,863 49.01\%
Larceny/Theft Offenses - All Other Larceny Victim Was Stranger 69,009 21.70\%
Larceny/Theft Offenses - All Other Larceny Victim Was Acquaintance 27,241 8.57\%
Larceny/Theft Offenses - All Other Larceny Victim Was Otherwise Known 17,341 5.45\%
Larceny/Theft Offenses - All Other Larceny Victim Was Friend 6,820 2.14\%
Larceny/Theft Offenses - All Other Larceny All Other 41,728 13.14\%
Larceny/Theft Offenses - All Other Larceny Total 318,002 100\%
Larceny/Theft Offenses - Pocket-Picking Relationship Unknown 4,386 51.20\%
Larceny/Theft Offenses - Pocket-Picking Victim Was Stranger 2,717 31.72\%
Larceny/Theft Offenses - Pocket-Picking Victim Was Acquaintance 522 6.09\%
Larceny/Theft Offenses - Pocket-Picking Victim Was Otherwise Known 251 2.93\%
Larceny/Theft Offenses - Pocket-Picking Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 116 1.35\%
Larceny/Theft Offenses - Pocket-Picking All Other 574 6.69\%
Larceny/Theft Offenses - Pocket-Picking Total 8,566 100\%
Larceny/Theft Offenses - Purse-Snatching Victim Was Stranger 2,185 41.86\%
Larceny/Theft Offenses - Purse-Snatching Relationship Unknown 2,181 41.78\%
Larceny/Theft Offenses - Purse-Snatching Victim Was Acquaintance 268 5.13\%
Larceny/Theft Offenses - Purse-Snatching Victim Was Otherwise Known 141 2.70\%
Larceny/Theft Offenses - Purse-Snatching Victim Was Boyfriend/Girlfriend 101 1.93\%
Larceny/Theft Offenses - Purse-Snatching All Other 344 6.61\%
Larceny/Theft Offenses - Purse-Snatching Total 5,220 100\%
Larceny/Theft Offenses - Shoplifting Victim Was Stranger 12,151 58.10\%
Larceny/Theft Offenses - Shoplifting Relationship Unknown 7,490 35.81\%
Larceny/Theft Offenses - Shoplifting Victim Was Otherwise Known 459 2.19\%
Larceny/Theft Offenses - Shoplifting Victim Was Acquaintance 417 1.99\%
Larceny/Theft Offenses - Shoplifting Victim Was Employee 103 0.49\%
Larceny/Theft Offenses - Shoplifting All Other 294 1.39\%
Larceny/Theft Offenses - Shoplifting Total 20,914 100\%
Larceny/Theft Offenses - Theft From Building Relationship Unknown 38,177 46.22\%
Larceny/Theft Offenses - Theft From Building Victim Was Stranger 15,605 18.89\%
Larceny/Theft Offenses - Theft From Building Victim Was Acquaintance 8,397 10.17\%
Larceny/Theft Offenses - Theft From Building Victim Was Otherwise Known 5,573 6.75\%
Larceny/Theft Offenses - Theft From Building Victim Was Friend 2,391 2.89\%
Larceny/Theft Offenses - Theft From Building All Other 12,462 15.09\%
Larceny/Theft Offenses - Theft From Building Total 82,605 100\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Relationship Unknown 317 54.84\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Victim Was Stranger 205 35.47\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Victim Was Acquaintance 20 3.46\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Victim Was Otherwise Known 16 2.77\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Victim Was Other Family Member 4 0.69\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device All Other 16 2.76\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Total 578 100\%
Larceny/Theft Offenses - Theft From Motor Vehicle Relationship Unknown 127,318 73.41\%
Larceny/Theft Offenses - Theft From Motor Vehicle Victim Was Stranger 37,404 21.57\%
Larceny/Theft Offenses - Theft From Motor Vehicle Victim Was Acquaintance 2,530 1.46\%
Larceny/Theft Offenses - Theft From Motor Vehicle Victim Was Otherwise Known 2,001 1.15\%
Larceny/Theft Offenses - Theft From Motor Vehicle Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 882 0.51\%
Larceny/Theft Offenses - Theft From Motor Vehicle All Other 3,300 1.9\%
Larceny/Theft Offenses - Theft From Motor Vehicle Total 173,435 100\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Relationship Unknown 36,681 83.48\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Victim Was Stranger 5,138 11.69\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Victim Was Acquaintance 635 1.45\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Victim Was Otherwise Known 434 0.99\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 249 0.57\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories All Other 803 1.81\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Total 43,940 100\%
Motor Vehicle Theft Relationship Unknown 118,493 62.46\%
Motor Vehicle Theft Victim Was Stranger 38,363 20.22\%
Motor Vehicle Theft Victim Was Acquaintance 9,676 5.10\%
Motor Vehicle Theft Victim Was Otherwise Known 5,018 2.65\%
Motor Vehicle Theft Victim Was Parent 4,173 2.20\%
Motor Vehicle Theft All Other 13,990 7.37\%
Motor Vehicle Theft Total 189,713 100\%
Murder/Nonnegligent Manslaughter Relationship Unknown 5,029 39.02\%
Murder/Nonnegligent Manslaughter Victim Was Acquaintance 2,057 15.96\%
Murder/Nonnegligent Manslaughter Victim Was Stranger 1,464 11.36\%
Murder/Nonnegligent Manslaughter Victim Was Otherwise Known 931 7.22\%
Murder/Nonnegligent Manslaughter Victim Was Boyfriend/Girlfriend 684 5.31\%
Murder/Nonnegligent Manslaughter All Other 2,724 21.13\%
Murder/Nonnegligent Manslaughter Total 12,889 100\%
Negligent Manslaughter Victim Was Stranger 713 36.89\%
Negligent Manslaughter Relationship Unknown 366 18.93\%
Negligent Manslaughter Victim Was Friend 199 10.29\%
Negligent Manslaughter Victim Was Acquaintance 193 9.98\%
Negligent Manslaughter Victim Was Child 140 7.24\%
Negligent Manslaughter All Other 322 16.68\%
Negligent Manslaughter Total 1,933 100\%
Robbery Victim Was Stranger 69,531 43.00\%
Robbery Relationship Unknown 61,648 38.13\%
Robbery Victim Was Acquaintance 11,434 7.07\%
Robbery Victim Was Otherwise Known 5,585 3.45\%
Robbery Victim Was Boyfriend/Girlfriend 4,053 2.51\%
Robbery All Other 9,436 5.82\%
Robbery Total 161,687 100\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Victim Was Acquaintance 16,449 19.72\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Victim Was Otherwise Known 10,379 12.44\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Relationship Unknown 9,653 11.57\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Victim Was Stranger 8,974 10.76\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Victim Was Child 7,701 9.23\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) All Other 30,267 36.29\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Total 83,423 100\%
Sex Offenses - Incest Victim Was Child 445 36.78\%
Sex Offenses - Incest Victim Was Sibling (Brother Or Sister) 325 26.86\%
Sex Offenses - Incest Victim Was Other Family Member 222 18.35\%
Sex Offenses - Incest Victim Was Grandchild 48 3.97\%
Sex Offenses - Incest Victim Was Step-Child 43 3.55\%
Sex Offenses - Incest All Other 127 10.52\%
Sex Offenses - Incest Total 1,210 100\%
Sex Offenses - Rape Victim Was Acquaintance 16,663 23.78\%
Sex Offenses - Rape Relationship Unknown 9,492 13.55\%
Sex Offenses - Rape Victim Was Boyfriend/Girlfriend 7,271 10.38\%
Sex Offenses - Rape Victim Was Otherwise Known 6,445 9.20\%
Sex Offenses - Rape Victim Was Friend 5,248 7.49\%
Sex Offenses - Rape All Other 24,943 35.61\%
Sex Offenses - Rape Total 70,062 100\%
Sex Offenses - Sexual Assault With An Object Victim Was Acquaintance 1,271 19.24\%
Sex Offenses - Sexual Assault With An Object Relationship Unknown 875 13.24\%
Sex Offenses - Sexual Assault With An Object Victim Was Otherwise Known 842 12.74\%
Sex Offenses - Sexual Assault With An Object Victim Was Child 550 8.32\%
Sex Offenses - Sexual Assault With An Object Victim Was Other Family Member 518 7.84\%
Sex Offenses - Sexual Assault With An Object All Other 2,551 38.6\%
Sex Offenses - Sexual Assault With An Object Total 6,607 100\%
Sex Offenses - Sodomy Victim Was Acquaintance 3,576 20.08\%
Sex Offenses - Sodomy Relationship Unknown 2,425 13.62\%
Sex Offenses - Sodomy Victim Was Otherwise Known 2,020 11.34\%
Sex Offenses - Sodomy Victim Was Other Family Member 1,685 9.46\%
Sex Offenses - Sodomy Victim Was Stranger 1,238 6.95\%
Sex Offenses - Sodomy All Other 6,864 38.55\%
Sex Offenses - Sodomy Total 17,808 100\%
Sex Offenses - Statutory Rape Victim Was Acquaintance 1,787 24.71\%
Sex Offenses - Statutory Rape Victim Was Boyfriend/Girlfriend 1,611 22.28\%
Sex Offenses - Statutory Rape Victim Was Otherwise Known 799 11.05\%
Sex Offenses - Statutory Rape Relationship Unknown 747 10.33\%
Sex Offenses - Statutory Rape Victim Was Friend 554 7.66\%
Sex Offenses - Statutory Rape All Other 1,734 23.97\%
Sex Offenses - Statutory Rape Total 7,232 100\%
Stolen Property Offenses (Receiving, Selling, Etc.) Relationship Unknown 27,746 51.36\%
Stolen Property Offenses (Receiving, Selling, Etc.) Victim Was Stranger 21,070 39.00\%
Stolen Property Offenses (Receiving, Selling, Etc.) Victim Was Acquaintance 1,542 2.85\%
Stolen Property Offenses (Receiving, Selling, Etc.) Victim Was Otherwise Known 1,281 2.37\%
Stolen Property Offenses (Receiving, Selling, Etc.) Victim Was Parent 471 0.87\%
Stolen Property Offenses (Receiving, Selling, Etc.) All Other 1,914 3.53\%
Stolen Property Offenses (Receiving, Selling, Etc.) Total 54,024 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseVictimRelationship)The number and percent of victim relationships to offender by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to 10 victim-offender relationships per victim; in this table we only use the first relationship reported. The top five most common relationships are shown, all other relationships are combined into an 'All Other' category. }\\ +\hline +Crime & Relationship to Offender & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseVictimRelationship)The number and percent of victim relationships to offender by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to 10 victim-offender relationships per victim; in this table we only use the first relationship reported. The top five most common relationships are shown, all other relationships are combined into an 'All Other' category. \textit{(continued)}}\\ +\hline +Crime & Relationship to Offender & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Arson & Relationship Unknown & 3,384 & 38.88\textbackslash{}\%\\ +\hline +Arson & Victim Was Stranger & 1,187 & 13.64\textbackslash{}\%\\ +\hline +Arson & Victim Was Acquaintance & 857 & 9.85\textbackslash{}\%\\ +\hline +Arson & Victim Was Otherwise Known & 768 & 8.82\textbackslash{}\%\\ +\hline +Arson & Victim Was Parent & 509 & 5.85\textbackslash{}\%\\ +\hline +Arson & All Other & 1,998 & 22.94\textbackslash{}\%\\ +\hline +Arson & Total & 8,703 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Relationship Unknown & 130,972 & 20.44\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Victim Was Stranger & 110,612 & 17.26\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Victim Was Boyfriend/Girlfriend & 86,718 & 13.53\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Victim Was Acquaintance & 72,366 & 11.29\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Victim Was Otherwise Known & 54,343 & 8.48\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & All Other & 185,872 & 28.99\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Total & 640,883 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Victim Was Stranger & 110,982 & 17.47\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Relationship Unknown & 100,315 & 15.79\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Victim Was Acquaintance & 99,324 & 15.64\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Victim Was Otherwise Known & 72,784 & 11.46\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Victim Was Boyfriend/Girlfriend & 40,247 & 6.34\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & All Other & 211,541 & 33.32\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Total & 635,193 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Victim Was Boyfriend/Girlfriend & 382,337 & 18.24\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Victim Was Acquaintance & 232,009 & 11.07\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Victim Was Stranger & 226,920 & 10.83\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Relationship Unknown & 205,105 & 9.79\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Victim Was Otherwise Known & 194,410 & 9.28\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & All Other & 855,156 & 40.8\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Total & 2,095,937 & 100\textbackslash{}\%\\ +\hline +Bribery & Victim Was Stranger & 92 & 29.87\textbackslash{}\%\\ +\hline +Bribery & Victim Was Otherwise Known & 48 & 15.58\textbackslash{}\%\\ +\hline +Bribery & Relationship Unknown & 46 & 14.94\textbackslash{}\%\\ +\hline +Bribery & Victim Was Acquaintance & 31 & 10.06\textbackslash{}\%\\ +\hline +Bribery & Victim Was Ex-Spouse & 19 & 6.17\textbackslash{}\%\\ +\hline +Bribery & All Other & 72 & 23.36\textbackslash{}\%\\ +\hline +Bribery & Total & 308 & 100\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Relationship Unknown & 79,200 & 48.71\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Victim Was Stranger & 38,700 & 23.80\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Victim Was Acquaintance & 11,187 & 6.88\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Victim Was Otherwise Known & 8,708 & 5.36\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 6,076 & 3.74\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & All Other & 18,740 & 11.53\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Total & 162,611 & 100\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Relationship Unknown & 11,272 & 47.62\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Victim Was Stranger & 6,933 & 29.29\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Victim Was Acquaintance & 1,364 & 5.76\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Victim Was Otherwise Known & 1,155 & 4.88\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Victim Was Parent & 392 & 1.66\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & All Other & 2,557 & 10.78\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Total & 23,673 & 100\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Relationship Unknown & 125,739 & 38.32\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Victim Was Stranger & 53,892 & 16.43\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Victim Was Acquaintance & 26,496 & 8.08\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Victim Was Otherwise Known & 23,036 & 7.02\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Victim Was Boyfriend/Girlfriend & 19,365 & 5.90\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & All Other & 79,580 & 24.26\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Total & 328,108 & 100\textbackslash{}\%\\ +\hline +Embezzlement & Victim Was Employer & 799 & 19.95\textbackslash{}\%\\ +\hline +Embezzlement & Victim Was Acquaintance & 580 & 14.48\textbackslash{}\%\\ +\hline +Embezzlement & Relationship Unknown & 573 & 14.30\textbackslash{}\%\\ +\hline +Embezzlement & Victim Was Otherwise Known & 447 & 11.16\textbackslash{}\%\\ +\hline +Embezzlement & Victim Was Stranger & 405 & 10.11\textbackslash{}\%\\ +\hline +Embezzlement & All Other & 1,202 & 29.99\textbackslash{}\%\\ +\hline +Embezzlement & Total & 4,006 & 100\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Relationship Unknown & 3,999 & 52.53\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Victim Was Stranger & 1,741 & 22.87\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Victim Was Acquaintance & 715 & 9.39\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Victim Was Otherwise Known & 425 & 5.58\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 226 & 2.97\textbackslash{}\%\\ +\hline +Extortion/Blackmail & All Other & 507 & 6.7\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Total & 7,613 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Relationship Unknown & 13,475 & 46.29\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Victim Was Stranger & 5,746 & 19.74\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Victim Was Acquaintance & 2,428 & 8.34\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Victim Was Otherwise Known & 1,626 & 5.59\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Victim Was Parent & 1,256 & 4.31\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & All Other & 4,581 & 15.74\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Total & 29,112 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Relationship Unknown & 31,220 & 45.82\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Victim Was Stranger & 17,750 & 26.05\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Victim Was Acquaintance & 6,011 & 8.82\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Victim Was Otherwise Known & 5,257 & 7.72\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Victim Was Friend & 1,234 & 1.81\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & All Other & 6,665 & 9.78\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Total & 68,137 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Relationship Unknown & 656 & 47.13\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Victim Was Stranger & 225 & 16.16\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Victim Was Acquaintance & 113 & 8.12\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 100 & 7.18\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Victim Was Otherwise Known & 91 & 6.54\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & All Other & 207 & 14.88\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Total & 1,392 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Relationship Unknown & 30,814 & 65.57\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Victim Was Stranger & 8,814 & 18.76\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Victim Was Acquaintance & 1,331 & 2.83\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Victim Was Otherwise Known & 1,210 & 2.57\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Victim Was Sibling (Brother Or Sister) & 1,082 & 2.30\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & All Other & 3,741 & 7.97\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Total & 46,992 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Relationship Unknown & 8,505 & 51.08\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Victim Was Stranger & 3,844 & 23.09\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Victim Was Sibling (Brother Or Sister) & 1,278 & 7.68\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Victim Was Acquaintance & 697 & 4.19\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Victim Was Otherwise Known & 677 & 4.07\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & All Other & 1,648 & 9.89\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Total & 16,649 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Relationship Unknown & 236 & 45.83\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Victim Was Acquaintance & 54 & 10.49\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Victim Was Otherwise Known & 48 & 9.32\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Victim Was Stranger & 47 & 9.13\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Victim Was Friend & 24 & 4.66\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & All Other & 106 & 20.58\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Total & 515 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Relationship Unknown & 3,694 & 52.85\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Victim Was Stranger & 1,701 & 24.34\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Victim Was Acquaintance & 452 & 6.47\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Victim Was Otherwise Known & 370 & 5.29\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Victim Was Parent & 176 & 2.52\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & All Other & 596 & 8.52\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Total & 6,989 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Relationship Unknown & 373 & 24.35\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Victim Was Acquaintance & 356 & 23.24\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Victim Was Stranger & 274 & 17.89\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Victim Was Otherwise Known & 200 & 13.05\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Victim Was Boyfriend/Girlfriend & 106 & 6.92\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & All Other & 223 & 14.57\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Total & 1,532 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Relationship Unknown & 183 & 36.53\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Victim Was Acquaintance & 96 & 19.16\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Victim Was Stranger & 81 & 16.17\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Victim Was Otherwise Known & 48 & 9.58\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Victim Was Employee & 29 & 5.79\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & All Other & 64 & 12.78\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Total & 501 & 100\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Victim Was Stranger & 285 & 42.04\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Relationship Unknown & 155 & 22.86\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Victim Was Acquaintance & 71 & 10.47\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Victim Was Otherwise Known & 71 & 10.47\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Victim Was Friend & 15 & 2.21\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & All Other & 81 & 11.95\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Total & 678 & 100\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Victim Was Boyfriend/Girlfriend & 13,924 & 29.66\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Relationship Unknown & 4,577 & 9.75\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 4,304 & 9.17\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Victim Was Stranger & 3,964 & 8.44\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Victim Was Spouse & 3,906 & 8.32\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & All Other & 16,271 & 34.66\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Total & 46,946 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Relationship Unknown & 155,863 & 49.01\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Victim Was Stranger & 69,009 & 21.70\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Victim Was Acquaintance & 27,241 & 8.57\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Victim Was Otherwise Known & 17,341 & 5.45\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Victim Was Friend & 6,820 & 2.14\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & All Other & 41,728 & 13.14\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Total & 318,002 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Relationship Unknown & 4,386 & 51.20\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Victim Was Stranger & 2,717 & 31.72\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Victim Was Acquaintance & 522 & 6.09\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Victim Was Otherwise Known & 251 & 2.93\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 116 & 1.35\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & All Other & 574 & 6.69\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Total & 8,566 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Victim Was Stranger & 2,185 & 41.86\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Relationship Unknown & 2,181 & 41.78\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Victim Was Acquaintance & 268 & 5.13\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Victim Was Otherwise Known & 141 & 2.70\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Victim Was Boyfriend/Girlfriend & 101 & 1.93\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & All Other & 344 & 6.61\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Total & 5,220 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Victim Was Stranger & 12,151 & 58.10\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Relationship Unknown & 7,490 & 35.81\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Victim Was Otherwise Known & 459 & 2.19\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Victim Was Acquaintance & 417 & 1.99\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Victim Was Employee & 103 & 0.49\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & All Other & 294 & 1.39\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Total & 20,914 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Relationship Unknown & 38,177 & 46.22\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Victim Was Stranger & 15,605 & 18.89\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Victim Was Acquaintance & 8,397 & 10.17\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Victim Was Otherwise Known & 5,573 & 6.75\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Victim Was Friend & 2,391 & 2.89\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & All Other & 12,462 & 15.09\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Total & 82,605 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Relationship Unknown & 317 & 54.84\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Victim Was Stranger & 205 & 35.47\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Victim Was Acquaintance & 20 & 3.46\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Victim Was Otherwise Known & 16 & 2.77\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Victim Was Other Family Member & 4 & 0.69\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & All Other & 16 & 2.76\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Total & 578 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Relationship Unknown & 127,318 & 73.41\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Victim Was Stranger & 37,404 & 21.57\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Victim Was Acquaintance & 2,530 & 1.46\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Victim Was Otherwise Known & 2,001 & 1.15\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 882 & 0.51\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & All Other & 3,300 & 1.9\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Total & 173,435 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Relationship Unknown & 36,681 & 83.48\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Victim Was Stranger & 5,138 & 11.69\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Victim Was Acquaintance & 635 & 1.45\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Victim Was Otherwise Known & 434 & 0.99\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 249 & 0.57\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & All Other & 803 & 1.81\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Total & 43,940 & 100\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Relationship Unknown & 118,493 & 62.46\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Victim Was Stranger & 38,363 & 20.22\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Victim Was Acquaintance & 9,676 & 5.10\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Victim Was Otherwise Known & 5,018 & 2.65\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Victim Was Parent & 4,173 & 2.20\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & All Other & 13,990 & 7.37\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Total & 189,713 & 100\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Relationship Unknown & 5,029 & 39.02\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Victim Was Acquaintance & 2,057 & 15.96\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Victim Was Stranger & 1,464 & 11.36\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Victim Was Otherwise Known & 931 & 7.22\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Victim Was Boyfriend/Girlfriend & 684 & 5.31\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & All Other & 2,724 & 21.13\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Total & 12,889 & 100\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Victim Was Stranger & 713 & 36.89\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Relationship Unknown & 366 & 18.93\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Victim Was Friend & 199 & 10.29\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Victim Was Acquaintance & 193 & 9.98\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Victim Was Child & 140 & 7.24\textbackslash{}\%\\ +\hline +Negligent Manslaughter & All Other & 322 & 16.68\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Total & 1,933 & 100\textbackslash{}\%\\ +\hline +Robbery & Victim Was Stranger & 69,531 & 43.00\textbackslash{}\%\\ +\hline +Robbery & Relationship Unknown & 61,648 & 38.13\textbackslash{}\%\\ +\hline +Robbery & Victim Was Acquaintance & 11,434 & 7.07\textbackslash{}\%\\ +\hline +Robbery & Victim Was Otherwise Known & 5,585 & 3.45\textbackslash{}\%\\ +\hline +Robbery & Victim Was Boyfriend/Girlfriend & 4,053 & 2.51\textbackslash{}\%\\ +\hline +Robbery & All Other & 9,436 & 5.82\textbackslash{}\%\\ +\hline +Robbery & Total & 161,687 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Victim Was Acquaintance & 16,449 & 19.72\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Victim Was Otherwise Known & 10,379 & 12.44\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Relationship Unknown & 9,653 & 11.57\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Victim Was Stranger & 8,974 & 10.76\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Victim Was Child & 7,701 & 9.23\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & All Other & 30,267 & 36.29\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Total & 83,423 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Victim Was Child & 445 & 36.78\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Victim Was Sibling (Brother Or Sister) & 325 & 26.86\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Victim Was Other Family Member & 222 & 18.35\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Victim Was Grandchild & 48 & 3.97\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Victim Was Step-Child & 43 & 3.55\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & All Other & 127 & 10.52\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Total & 1,210 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Victim Was Acquaintance & 16,663 & 23.78\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Relationship Unknown & 9,492 & 13.55\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Victim Was Boyfriend/Girlfriend & 7,271 & 10.38\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Victim Was Otherwise Known & 6,445 & 9.20\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Victim Was Friend & 5,248 & 7.49\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & All Other & 24,943 & 35.61\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Total & 70,062 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Victim Was Acquaintance & 1,271 & 19.24\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Relationship Unknown & 875 & 13.24\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Victim Was Otherwise Known & 842 & 12.74\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Victim Was Child & 550 & 8.32\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Victim Was Other Family Member & 518 & 7.84\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & All Other & 2,551 & 38.6\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Total & 6,607 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Victim Was Acquaintance & 3,576 & 20.08\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Relationship Unknown & 2,425 & 13.62\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Victim Was Otherwise Known & 2,020 & 11.34\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Victim Was Other Family Member & 1,685 & 9.46\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Victim Was Stranger & 1,238 & 6.95\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & All Other & 6,864 & 38.55\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Total & 17,808 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Victim Was Acquaintance & 1,787 & 24.71\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Victim Was Boyfriend/Girlfriend & 1,611 & 22.28\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Victim Was Otherwise Known & 799 & 11.05\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Relationship Unknown & 747 & 10.33\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Victim Was Friend & 554 & 7.66\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & All Other & 1,734 & 23.97\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Total & 7,232 & 100\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Relationship Unknown & 27,746 & 51.36\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Victim Was Stranger & 21,070 & 39.00\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Victim Was Acquaintance & 1,542 & 2.85\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Victim Was Otherwise Known & 1,281 & 2.37\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Victim Was Parent & 471 & 0.87\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & All Other & 1,914 & 3.53\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Total & 54,024 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -3269,146 +1155,55 @@ We also know the relationship between victim and offender when the victim is a l In cases of aggravated assault or homicide we have some information about the motive of the offender. There can be up to two motives, what NIBRS calls circumstances, for each of these offenses. Table \@ref(tab:victimAggAssault) shows all of the possible circumstances in the data, and shows the frequency only of the first circumstance. The most common circumstance is that there was an argument, and this accounts for 42.7% of these victims. The next most common is 24% which had unknown circumstances followed by 18.7% with "other" circumstances. The next most common group is "lovers' quarrel" which the FBI relabeled as "domestic violence" beginning in 2019. This group accounts for 9.4% of victims. Assault on law enforcement officers is the next most common group at 2.8% of victims. All other groups are less common than 2% of victims. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:victimAggAssault)The distribution of circumstances for aggravated assault and homicides, 2023.
Circumstance Crime Category First Year \# of Victims \% of Victims
Argument Aggravated Assault/Murder 1991 294,313 38.57\%
Unknown Circumstances Aggravated Assault/Murder 1991 184,583 24.19\%
Other Circumstances Aggravated Assault/Murder 1991 143,124 18.75\%
Domestic Violence (Historically Called Lovers Triangle/Quarrel) Aggravated Assault/Murder 1991 99,067 12.98\%
Assault On Law Enforcement Officer(s) Aggravated Assault/Murder 1991 22,595 2.96\%
Other Felony Involved Aggravated Assault/Murder 1991 9,620 1.26\%
Gangland (Organized Crime Involvement) Aggravated Assault/Murder 1991 3,066 0.40\%
Drug Dealing Aggravated Assault/Murder 1991 2,136 0.28\%
Juvenile Gang Aggravated Assault/Murder 1991 1,905 0.25\%
Other Negligent Killings Negligent Manslaughter 1991 1,670 0.22\%
Criminal Killed By Private Citizen Justifiable Homicide 1991 443 0.06\%
Other Negligent Weapon Handling Negligent Manslaughter 1991 298 0.04\%
Criminal Killed By Police Officer Justifiable Homicide 1992 248 0.03\%
Child Playing With Weapon Negligent Manslaughter 1991 38 0.00\%
Mercy Killing (Not Applicable To Aggravated Assault) Aggravated Assault/Murder 1993 16 0.00\%
Gun-Cleaning Accident Negligent Manslaughter 1992 10 0.00\%
Hunting Accident Negligent Manslaughter 1991 2 0.00\%
Total Aggravated Assault/Murder - 763,134 100\%
+ +\begin{longtable}[t]{l|l|r|r|l} +\caption{(\#tab:victimAggAssault)The distribution of circumstances for aggravated assault and homicides, 2023.}\\ +\hline +Circumstance & Crime Category & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims\\ +\hline +\endfirsthead +\caption[]{(\#tab:victimAggAssault)The distribution of circumstances for aggravated assault and homicides, 2023. \textit{(continued)}}\\ +\hline +Circumstance & Crime Category & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims\\ +\hline +\endhead +Argument & Aggravated Assault/Murder & 1991 & 294,313 & 38.57\textbackslash{}\%\\ +\hline +Unknown Circumstances & Aggravated Assault/Murder & 1991 & 184,583 & 24.19\textbackslash{}\%\\ +\hline +Other Circumstances & Aggravated Assault/Murder & 1991 & 143,124 & 18.75\textbackslash{}\%\\ +\hline +Domestic Violence (Historically Called Lovers Triangle/Quarrel) & Aggravated Assault/Murder & 1991 & 99,067 & 12.98\textbackslash{}\%\\ +\hline +Assault On Law Enforcement Officer(s) & Aggravated Assault/Murder & 1991 & 22,595 & 2.96\textbackslash{}\%\\ +\hline +Other Felony Involved & Aggravated Assault/Murder & 1991 & 9,620 & 1.26\textbackslash{}\%\\ +\hline +Gangland (Organized Crime Involvement) & Aggravated Assault/Murder & 1991 & 3,066 & 0.40\textbackslash{}\%\\ +\hline +Drug Dealing & Aggravated Assault/Murder & 1991 & 2,136 & 0.28\textbackslash{}\%\\ +\hline +Juvenile Gang & Aggravated Assault/Murder & 1991 & 1,905 & 0.25\textbackslash{}\%\\ +\hline +Other Negligent Killings & Negligent Manslaughter & 1991 & 1,670 & 0.22\textbackslash{}\%\\ +\hline +Criminal Killed By Private Citizen & Justifiable Homicide & 1991 & 443 & 0.06\textbackslash{}\%\\ +\hline +Other Negligent Weapon Handling & Negligent Manslaughter & 1991 & 298 & 0.04\textbackslash{}\%\\ +\hline +Criminal Killed By Police Officer & Justifiable Homicide & 1992 & 248 & 0.03\textbackslash{}\%\\ +\hline +Child Playing With Weapon & Negligent Manslaughter & 1991 & 38 & 0.00\textbackslash{}\%\\ +\hline +Mercy Killing (Not Applicable To Aggravated Assault) & Aggravated Assault/Murder & 1993 & 16 & 0.00\textbackslash{}\%\\ +\hline +Gun-Cleaning Accident & Negligent Manslaughter & 1992 & 10 & 0.00\textbackslash{}\%\\ +\hline +Hunting Accident & Negligent Manslaughter & 1991 & 2 & 0.00\textbackslash{}\%\\ +\hline +Total & Aggravated Assault/Murder & - & 763,134 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -3416,10 +1211,14 @@ In cases of aggravated assault or homicide we have some information about the mo We know a little bit more in cases of justifiable homicides. Here, we know the circumstances behind the homicide. Figure \@ref(fig:victimJustifiableHomicide) shows the circumstance breakdown for all 308 justifiable homicides reported in 2019. The most common reason, at 34.4% of justifiable homicides is because the offender attacked a civilian. In 21% of justifiable homicides the offender attacked a police officer and was killed by the same officer. In 6.5% the offender attacked a police officer and was killed by a different officer. This is followed by 28% being killed during the commission of a crime. In 4.9% of justifiable homicides, the circumstance is unknown. 3.6% had the offender killed while fleeing from a crime and 1% were killed while resisting arrest. -
-The distribution of circumstances for justifiable homicides (N = 308 in 2022 for all agencies reporting). -

(\#fig:victimJustifiableHomicide)The distribution of circumstances for justifiable homicides (N = 308 in 2022 for all agencies reporting).

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/victimJustifiableHomicide-1} + +} + +\caption{The distribution of circumstances for justifiable homicides (N = 308 in 2022 for all agencies reporting).}(\#fig:victimJustifiableHomicide) +\end{figure} ## Demographics @@ -3434,15 +1233,23 @@ Table \@ref(fig:victimResidenceStatus) shows the residence status for all indivi One proposed measure to improve policing is to require police officers (or at least newly hired officers) live in the city where they work. The idea here is that people will do a better job if it affects the place they consider home.^[Since crime is generally concentrated in a small number of impoverished parts of town, and police likely would not live in these parts, this probably would not be very effective.] Luckily for us, NIBRS includes law enforcement officers in their measure of whether the victim lives in the jurisdiction where they were victimized. Since law enforcement officers are only recorded to be victims when on the job, this is one measure of where officers live. -
-The share of victims by resident status in the reporting agency's jurisdiction, 1991-2023. -

(\#fig:nibrsVictimResidentStatus)The share of victims by resident status in the reporting agency's jurisdiction, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimResidentStatus-1} + +} + +\caption{The share of victims by resident status in the reporting agency's jurisdiction, 1991-2023.}(\#fig:nibrsVictimResidentStatus) +\end{figure} + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimResidentStatusOfficer-1} + +} -
-The share of victims by resident status in the reporting agency's jurisdiction for law enforcement officer victims, 1991-2023. -

(\#fig:nibrsVictimResidentStatusOfficer)The share of victims by resident status in the reporting agency's jurisdiction for law enforcement officer victims, 1991-2023.

-
+\caption{The share of victims by resident status in the reporting agency's jurisdiction for law enforcement officer victims, 1991-2023.}(\#fig:nibrsVictimResidentStatusOfficer) +\end{figure} ### Age @@ -3450,30 +1257,46 @@ This variable is the age of the victim when the crime occurred, regardless of wh Figure \@ref(fig:victimAge) shows the percent of victims at each age available. This is pretty similar to the age of offenders shown in Figure \@ref(fig:offenderAge) with a peak in the mid to late 20s with a long decline after. The most common victim age is 27 followed by 28, 29, and 30. Relative to offender ages, there are far more young victims. About 2.8% of victims, or 145k victims, in 2019 were aged 14 or younger. However, remember that this is for all victims of any crime so age trends may differ by which crime you are looking at. -
-The age of all victims, 2023. -

(\#fig:victimAge)The age of all victims, 2023.

-
+\begin{figure} -
-The mean and median age of victims, 1991-2023. -

(\#fig:nibrsVictimAge)The mean and median age of victims, 1991-2023.

-
+{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/victimAge-1} -
-The percent of victim's age that is unknown, 1991-2023. -

(\#fig:nibrsVictimAgeMissing)The percent of victim's age that is unknown, 1991-2023.

-
+} + +\caption{The age of all victims, 2023.}(\#fig:victimAge) +\end{figure} + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimAge-1} + +} + +\caption{The mean and median age of victims, 1991-2023.}(\#fig:nibrsVictimAge) +\end{figure} + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimAgeMissing-1} + +} + +\caption{The percent of victim's age that is unknown, 1991-2023.}(\#fig:nibrsVictimAgeMissing) +\end{figure} ### Sex As with the Offender and the Arrestee Segments, we know the sex of the victim. The only choices are female, male, and unknown sex. There is no option for transgender or any other identify. Since the victim can tell the police their sex, and the police can see them clearly in most cases (though this may not be true if the victim reports a crime over the phone by calling 911 but then does not stay to be interviewed) so is more reliable than in the Offender Segment which may include guesses about the offender. The most common victim sex is female at 50.8% of victims, followed closely by male at 48.4%. Only about 0.8% of victims have an unknown sex. It is interesting that female victims are so common since most criminology research finds that male victims are so common. I think this is likely due to criminologists primarily focusing on murder and index violent crimes as their measure of crime, which ignores many other crimes.^[Murder and other violent crimes are mainly men hurting/killing other men, except in domestic violence which is primarily men hurting/killing women.] -
-The share of victims by sex, 1991-2023. -

(\#fig:nibrsVictimSex)The share of victims by sex, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimSex-1} + +} + +\caption{The share of victims by sex, 1991-2023.}(\#fig:nibrsVictimSex) +\end{figure} ### Race @@ -3485,10 +1308,14 @@ Figure \@ref(fig:victimRace) shows the breakdown in victims by race. Most victim -
-The share of victims by race, 1991-2023. -

(\#fig:nibrsVictimRace)The share of victims by race, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimRace-1} + +} + +\caption{The share of victims by race, 1991-2023.}(\#fig:nibrsVictimRace) +\end{figure} ### Ethnicity @@ -3499,7 +1326,11 @@ There’s also the question of reliability of the ethnicity data. Someone being Figure \@ref(fig:victimEthnicity) shows the breakdown in arrests by victim ethnicity for all victims in 2019. Most arrestees - 62.2% - are not Hispanic. Only 10.5% are reported to be Hispanic but a much higher percent of arrestees - 27.2% - have an unknown ethnicity. Given that over a quarter of victims do not have ethnicity data, if you would like to use this variable I recommend that you carefully examine the data to ensure that the agencies you are looking at (if you do not use all agencies in the data) have a much higher reporting rate. -
-The share of victims by ethnicity, 1991-2023. -

(\#fig:nibrsVictimEthnicity)The share of victims by ethnicity, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimEthnicity-1} + +} + +\caption{The share of victims by ethnicity, 1991-2023.}(\#fig:nibrsVictimEthnicity) +\end{figure} diff --git a/docs/16_nibrs_arrestee.md b/docs/16_nibrs_arrestee.md index fb1a25e..2fe809c 100644 --- a/docs/16_nibrs_arrestee.md +++ b/docs/16_nibrs_arrestee.md @@ -28,409 +28,149 @@ One interesting part of this segment is that while it is associated with Group A Table \@ref(tab:arresteeCrime) shows the number and percent of arrests for all arrests associated with a Group A crime incident. Perhaps unsurprising, drug crimes are the most common arrest making up a quarter of all arrests (30% when including drug equipment crimes). Simple assault (assault without a weapon or without seriously injuring the victim) is the next most common at 19% of arrests, and aggravated assault is the 4th most common arrest crime at 6.3% of arrests. Theft, which NIBRS breaks into a number of subcategories of theft such as shoplifting and "all other larceny" is among the most common arrest crimes, making up ranks 3 and 6 of the top 6, as well as several other subcategories later on. The remaining crimes are all relatively rare, consisting of under 5% of arrests each. This is due to how the top crimes are broad categories (e.g. drug offenses ranges from simple possession to large scale sales but is all grouped into "drug/narcotic violations" here) while other crimes are specific (e.g. purse-snatching is a very specific form of theft). - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:arresteeCrime)The number and percent of arrests for Group A crimes for all arrests reported to NIBRS in 2022.
Crime Category First Year \# of Offenses \% of Offenses
Assault Offenses - Simple Assault 1991 728,805 21.64\%
Drug/Narcotic Offenses - Drug/Narcotic Violations 1991 698,760 20.75\%
Larceny/Theft Offenses - Shoplifting 1991 349,672 10.38\%
Assault Offenses - Aggravated Assault 1991 264,141 7.84\%
Drug/Narcotic Offenses - Drug Equipment Violations 1991 154,922 4.60\%
Larceny/Theft Offenses - All Other Larceny 1991 142,759 4.24\%
Weapon Law Violations - Weapon Law Violations 1991 138,286 4.11\%
Destruction/Damage/Vandalism of Property 1991 133,395 3.96\%
Assault Offenses - Intimidation 1991 107,256 3.18\%
Burglary/Breaking And Entering 1991 93,699 2.78\%
All Other Offenses 1991 83,387 2.48\%
Stolen Property Offenses (Receiving, Selling, Etc.) 1991 64,989 1.93\%
Motor Vehicle Theft 1991 61,858 1.84\%
Robbery 1991 53,027 1.57\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game 1991 34,190 1.02\%
Counterfeiting/Forgery 1991 27,967 0.83\%
Larceny/Theft Offenses - Theft From Motor Vehicle 1991 25,802 0.77\%
Larceny/Theft Offenses - Theft From Building 1991 20,803 0.62\%
Driving Under The Influence 1991 16,785 0.50\%
Disorderly Conduct 1991 15,554 0.46\%
Kidnapping/Abduction 1991 14,768 0.44\%
Trespass of Real Property 1991 13,618 0.40\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) 1991 11,780 0.35\%
Fraud Offenses - Impersonation 1991 11,388 0.34\%
Sex Offenses - Rape 1991 9,346 0.28\%
Murder/Nonnegligent Manslaughter 1991 8,486 0.25\%
Prostitution Offenses - Prostitution 1991 7,994 0.24\%
Fraud Offenses - Credit Card/Atm Fraud 1991 7,633 0.23\%
Fraud Offenses - Identity Theft 2015 7,523 0.22\%
Arson 1991 7,097 0.21\%
Embezzlement 1991 7,045 0.21\%
Pornography/Obscene Material 1991 6,266 0.19\%
Larceny/Theft Offenses - Pocket-Picking 1991 4,749 0.14\%
Liquor Law Violations 1991 4,631 0.14\%
Animal Cruelty 2015 4,554 0.14\%
Family Offenses, Nonviolent 1991 4,185 0.12\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 1991 3,909 0.12\%
Sex Offenses - Sodomy 1991 2,353 0.07\%
Prostitution Offenses - Assisting Or Promoting Prostitution 1991 2,089 0.06\%
Prostitution Offenses - Purchasing Prostitution 2013 1,705 0.05\%
Curfew/Loitering/Vagrancy Violations 1991 1,586 0.05\%
Sex Offenses - Statutory Rape 1991 1,577 0.05\%
Larceny/Theft Offenses - Purse-Snatching 1991 1,323 0.04\%
Negligent Manslaughter 1991 1,006 0.03\%
Sex Offenses - Sexual Assault With An Object 1991 870 0.03\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device 1991 654 0.02\%
Gambling Offenses - Operating/Promoting/Assisting Gambling 1991 652 0.02\%
Gambling Offenses - Betting/Wagering 1991 570 0.02\%
Extortion/Blackmail 1991 460 0.01\%
Human Trafficking - Commercial Sex Acts 2013 453 0.01\%
Fraud Offenses - Wire Fraud 1991 364 0.01\%
Bribery 1991 269 0.01\%
Sex Offenses - Incest 1991 228 0.01\%
Gambling Offenses - Gambling Equipment Violations 1991 226 0.01\%
Fraud Offenses - Hacking/Computer Invasion 2015 175 0.01\%
Fraud Offenses - Welfare Fraud 1991 133 0.00\%
Human Trafficking - Involuntary Servitude 2014 78 0.00\%
Bond Default - Failure To Appear 2021 67 0.00\%
Fugitive Offenses - Flight To Avoid Prosecution 2021 58 0.00\%
Runaway 1991 38 0.00\%
Commerce Violations - Federal Liquor Offenses 2020 33 0.00\%
Sex Offenses - Failure To Register As A Sex Offender 2019 21 0.00\%
Weapon Law Violations - Explosives 2022 1 0.00\%
Commerce Violations - Wildlife Trafficking 2023 1 0.00\%
Total - 3,368,019 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:arresteeCrime)The number and percent of arrests for Group A crimes for all arrests reported to NIBRS in 2022.}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:arresteeCrime)The number and percent of arrests for Group A crimes for all arrests reported to NIBRS in 2022. \textit{(continued)}}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Assault Offenses - Simple Assault & 1991 & 728,805 & 21.64\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & 1991 & 698,760 & 20.75\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & 1991 & 349,672 & 10.38\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & 1991 & 264,141 & 7.84\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & 1991 & 154,922 & 4.60\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & 1991 & 142,759 & 4.24\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & 1991 & 138,286 & 4.11\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & 1991 & 133,395 & 3.96\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & 1991 & 107,256 & 3.18\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & 1991 & 93,699 & 2.78\textbackslash{}\%\\ +\hline +All Other Offenses & 1991 & 83,387 & 2.48\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & 1991 & 64,989 & 1.93\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & 1991 & 61,858 & 1.84\textbackslash{}\%\\ +\hline +Robbery & 1991 & 53,027 & 1.57\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & 1991 & 34,190 & 1.02\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & 1991 & 27,967 & 0.83\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & 1991 & 25,802 & 0.77\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & 1991 & 20,803 & 0.62\textbackslash{}\%\\ +\hline +Driving Under The Influence & 1991 & 16,785 & 0.50\textbackslash{}\%\\ +\hline +Disorderly Conduct & 1991 & 15,554 & 0.46\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & 1991 & 14,768 & 0.44\textbackslash{}\%\\ +\hline +Trespass of Real Property & 1991 & 13,618 & 0.40\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & 1991 & 11,780 & 0.35\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & 1991 & 11,388 & 0.34\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & 1991 & 9,346 & 0.28\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & 1991 & 8,486 & 0.25\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & 1991 & 7,994 & 0.24\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & 1991 & 7,633 & 0.23\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & 2015 & 7,523 & 0.22\textbackslash{}\%\\ +\hline +Arson & 1991 & 7,097 & 0.21\textbackslash{}\%\\ +\hline +Embezzlement & 1991 & 7,045 & 0.21\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & 1991 & 6,266 & 0.19\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & 1991 & 4,749 & 0.14\textbackslash{}\%\\ +\hline +Liquor Law Violations & 1991 & 4,631 & 0.14\textbackslash{}\%\\ +\hline +Animal Cruelty & 2015 & 4,554 & 0.14\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & 1991 & 4,185 & 0.12\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 1991 & 3,909 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & 1991 & 2,353 & 0.07\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & 1991 & 2,089 & 0.06\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & 2013 & 1,705 & 0.05\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & 1991 & 1,586 & 0.05\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & 1991 & 1,577 & 0.05\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & 1991 & 1,323 & 0.04\textbackslash{}\%\\ +\hline +Negligent Manslaughter & 1991 & 1,006 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & 1991 & 870 & 0.03\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & 1991 & 654 & 0.02\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & 1991 & 652 & 0.02\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & 1991 & 570 & 0.02\textbackslash{}\%\\ +\hline +Extortion/Blackmail & 1991 & 460 & 0.01\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & 2013 & 453 & 0.01\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & 1991 & 364 & 0.01\textbackslash{}\%\\ +\hline +Bribery & 1991 & 269 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & 1991 & 228 & 0.01\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & 1991 & 226 & 0.01\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & 2015 & 175 & 0.01\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & 1991 & 133 & 0.00\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & 2014 & 78 & 0.00\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & 2021 & 67 & 0.00\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & 2021 & 58 & 0.00\textbackslash{}\%\\ +\hline +Runaway & 1991 & 38 & 0.00\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & 2020 & 33 & 0.00\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & 2019 & 21 & 0.00\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & 2022 & 1 & 0.00\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & 2023 & 1 & 0.00\textbackslash{}\%\\ +\hline +Total & - & 3,368,019 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -440,91 +180,43 @@ Table \@ref(tab:GroupBarresteeCrime) shows the number and percent of arrests for Trespassing makes up 5.7% of arrests and this is unlawfully entering someone's property, including a building. The difference between this and burglary is that this is entering without any intent to commit theft or a felony. Disorderly conduct is a broad category ranging from indecent exposure (which should be its own sex offense but is not for some reason) to "profanity" and noise violations, and it makes up 6.2% of arrests. So be cautious with this offense as it ranges from very minor to quite serious and there is no distinguishing what actually happened. Drunkenness and liquor law violations make up 6% and 3.6% of arrests, respectively. The difference is that drunkenness is when someone is seriously drunk in public (to the point where they cannot control their own body) and liquor law violations are about illegal making or selling of liquor. So basically bootlegging, selling alcohol without a license (or to people not allowed to drink, like minors), or avoiding paying tax on alcohol sales. "Family Offenses, Nonviolent" is also a rather vague category and includes "nonviolent abuse" (which I guess means emotional abusive) as well as neglecting the child in a few different ways like not paying alimony and deserting the child. Since these are arrests, the actions have to reach the level of criminal behavior, simply being an awful parent (or even leaving the child, as long as they have another adult to watch them) is not this offense. Runaways is an offense that only applies to people under age 18. The remaining categories are all rare and none are more than 1% of arrests. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:GroupBarresteeCrime)The number and percent of arrests for Group B crimes for all arrests reported to NIBRS in 2022.
Crime Category First Year \# of Offenses \% of Offenses
All Other Offenses 1991 1,581,018 57.33\%
Driving Under The Influence 1991 630,034 22.85\%
Trespass of Real Property 1991 210,758 7.64\%
Disorderly Conduct 1991 199,858 7.25\%
Liquor Law Violations 1991 77,463 2.81\%
Family Offenses, Nonviolent 1991 34,581 1.25\%
Curfew/Loitering/Vagrancy Violations 1991 19,959 0.72\%
Bond Default - Failure To Appear 2021 2,132 0.08\%
Runaway 1991 1,769 0.06\%
Perjury 2022 6 0.00\%
Federal Resource Violations 2021 3 0.00\%
Total - 2,757,581 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:GroupBarresteeCrime)The number and percent of arrests for Group B crimes for all arrests reported to NIBRS in 2022.}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:GroupBarresteeCrime)The number and percent of arrests for Group B crimes for all arrests reported to NIBRS in 2022. \textit{(continued)}}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +All Other Offenses & 1991 & 1,581,018 & 57.33\textbackslash{}\%\\ +\hline +Driving Under The Influence & 1991 & 630,034 & 22.85\textbackslash{}\%\\ +\hline +Trespass of Real Property & 1991 & 210,758 & 7.64\textbackslash{}\%\\ +\hline +Disorderly Conduct & 1991 & 199,858 & 7.25\textbackslash{}\%\\ +\hline +Liquor Law Violations & 1991 & 77,463 & 2.81\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & 1991 & 34,581 & 1.25\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & 1991 & 19,959 & 0.72\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & 2021 & 2,132 & 0.08\textbackslash{}\%\\ +\hline +Runaway & 1991 & 1,769 & 0.06\textbackslash{}\%\\ +\hline +Perjury & 2022 & 6 & 0.00\textbackslash{}\%\\ +\hline +Federal Resource Violations & 2021 & 3 & 0.00\textbackslash{}\%\\ +\hline +Total & - & 2,757,581 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -537,10 +229,14 @@ Figure \@ref(fig:arrestsDaysUntilArrest) shows how long it takes for arrests to Figure \@ref(fig:arrestsDaysUntilArrestBarplot) groups the larger number of days together to make it easier to see trends early after the incident. Here we can see much better how the percent of arrests move quickly downwards after zero days. -
-The number of days from the incident to the arrest date. Values over 10 days are grouped to better see the distribution for arrests that took fewer than 10 days. Zero days means that the arrest occurred on the same day as the incident. -

(\#fig:arrestsDaysUntilArrestBarplot)The number of days from the incident to the arrest date. Values over 10 days are grouped to better see the distribution for arrests that took fewer than 10 days. Zero days means that the arrest occurred on the same day as the incident.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/arrestsDaysUntilArrestBarplot-1} + +} + +\caption{The number of days from the incident to the arrest date. Values over 10 days are grouped to better see the distribution for arrests that took fewer than 10 days. Zero days means that the arrest occurred on the same day as the incident.}(\#fig:arrestsDaysUntilArrestBarplot) +\end{figure} ## Weapons @@ -551,3481 +247,1181 @@ Figure \@ref(fig:arresteeWeapon) shows the breakdown in the weapon carried by th To see the weapons carried when the arrestee had a weapon, Figure \@ref(fig:arresteeWeaponArmed) shows the breakdown in which weapon they carried. About 43.8% of people arrested who had a weapon were carrying a handgun followed by 30% with some kind of "lethal cutting instrument" like a knife. While rifles, and especially "assault rifles", are what people (and especially politicians and the media) focus on when talking about violent crime, handguns are actually the most common gun to be used in a crime so it makes sense that handguns are the most frequently found weapon. "Firearm (type not stated)" basically means that the type of firearm used is unknown so can belong in one of the firearm categories and makes up 9% of weapons. Blunt instruments (including bats, clubs, and brass knuckles) follow at 6.9% of weapons. And the remaining weapons included are "other firearm" (so any other than ones specified) at 5.8%, rifle at 2.3%, and shotgun at 2%. -
-The share of murder and nonnegligent manslaughter arrestees by weapon carried at arrest, 1991-2023. -

(\#fig:nibrsArresteeMurderWeapon)The share of murder and nonnegligent manslaughter arrestees by weapon carried at arrest, 1991-2023.

-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:arresteeoffenseWeapon)The number and percent of arrestees by offense and weapon, using the first weapon reported, 2023.
Offense Type of Arrest \# of arrestees \% of arrestees
All Other Offenses Shotgun 76 0.10\%
All Other Offenses Unarmed 72,425 94.04\%
All Other Offenses Firearm 565 0.73\%
All Other Offenses Blunt Object 250 0.32\%
All Other Offenses Handgun 2,066 2.68\%
All Other Offenses Other Firearm 140 0.18\%
All Other Offenses Rifle 136 0.18\%
All Other Offenses Lethal Cutting Instrument 1,357 1.76\%
All Other Offenses Total 77,015 100\%
Animal Cruelty Blunt Object 8 0.20\%
Animal Cruelty Other Firearm 6 0.15\%
Animal Cruelty Rifle 6 0.15\%
Animal Cruelty Shotgun 4 0.10\%
Animal Cruelty Lethal Cutting Instrument 34 0.85\%
Animal Cruelty Unarmed 3,932 97.76\%
Animal Cruelty Handgun 22 0.55\%
Animal Cruelty Firearm 10 0.25\%
Animal Cruelty Total 4,022 100\%
Arson Unarmed 6,455 97.13\%
Arson Rifle 4 0.06\%
Arson Handgun 32 0.48\%
Arson Shotgun 3 0.05\%
Arson Blunt Object 19 0.29\%
Arson Lethal Cutting Instrument 113 1.70\%
Arson Firearm 10 0.15\%
Arson Other Firearm 10 0.15\%
Arson Total 6,646 100\%
Assault Offenses - Aggravated Assault Rifle 935 0.37\%
Assault Offenses - Aggravated Assault Blunt Object 9,759 3.84\%
Assault Offenses - Aggravated Assault Shotgun 749 0.29\%
Assault Offenses - Aggravated Assault Firearm 3,618 1.42\%
Assault Offenses - Aggravated Assault Lethal Cutting Instrument 27,473 10.81\%
Assault Offenses - Aggravated Assault Unarmed 194,701 76.60\%
Assault Offenses - Aggravated Assault Handgun 15,307 6.02\%
Assault Offenses - Aggravated Assault Other Firearm 1,641 0.65\%
Assault Offenses - Aggravated Assault Total 254,183 100\%
Assault Offenses - Intimidation Unarmed 96,990 92.23\%
Assault Offenses - Intimidation Blunt Object 684 0.65\%
Assault Offenses - Intimidation Firearm 615 0.58\%
Assault Offenses - Intimidation Other Firearm 573 0.54\%
Assault Offenses - Intimidation Lethal Cutting Instrument 3,747 3.56\%
Assault Offenses - Intimidation Handgun 2,237 2.13\%
Assault Offenses - Intimidation Rifle 174 0.17\%
Assault Offenses - Intimidation Shotgun 144 0.14\%
Assault Offenses - Intimidation Total 105,164 100\%
Assault Offenses - Simple Assault Unarmed 671,810 97.70\%
Assault Offenses - Simple Assault Lethal Cutting Instrument 5,501 0.80\%
Assault Offenses - Simple Assault Handgun 3,190 0.46\%
Assault Offenses - Simple Assault Other Firearm 3,033 0.44\%
Assault Offenses - Simple Assault Shotgun 278 0.04\%
Assault Offenses - Simple Assault Blunt Object 2,492 0.36\%
Assault Offenses - Simple Assault Rifle 193 0.03\%
Assault Offenses - Simple Assault Firearm 1,152 0.17\%
Assault Offenses - Simple Assault Total 687,649 100\%
Bond Default - Failure To Appear Unarmed 58 92.06\%
Bond Default - Failure To Appear Handgun 3 4.76\%
Bond Default - Failure To Appear Lethal Cutting Instrument 2 3.17\%
Bond Default - Failure To Appear Blunt Object 0 0\%
Bond Default - Failure To Appear Firearm 0 0\%
Bond Default - Failure To Appear Other Firearm 0 0\%
Bond Default - Failure To Appear Rifle 0 0\%
Bond Default - Failure To Appear Shotgun 0 0\%
Bond Default - Failure To Appear Total 63 100\%
Bribery Handgun 4 1.55\%
Bribery Lethal Cutting Instrument 3 1.16\%
Bribery Unarmed 247 95.74\%
Bribery Firearm 2 0.78\%
Bribery Other Firearm 2 0.78\%
Bribery Blunt Object 0 0\%
Bribery Rifle 0 0\%
Bribery Shotgun 0 0\%
Bribery Total 258 100\%
Burglary/Breaking And Entering Handgun 950 1.19\%
Burglary/Breaking And Entering Rifle 80 0.10\%
Burglary/Breaking And Entering Unarmed 76,398 95.50\%
Burglary/Breaking And Entering Shotgun 63 0.08\%
Burglary/Breaking And Entering Blunt Object 346 0.43\%
Burglary/Breaking And Entering Firearm 290 0.36\%
Burglary/Breaking And Entering Other Firearm 203 0.25\%
Burglary/Breaking And Entering Lethal Cutting Instrument 1,664 2.08\%
Burglary/Breaking And Entering Total 79,994 100\%
Commerce Violations - Federal Liquor Offenses Unarmed 21 100.00\%
Commerce Violations - Federal Liquor Offenses Blunt Object 0 0\%
Commerce Violations - Federal Liquor Offenses Firearm 0 0\%
Commerce Violations - Federal Liquor Offenses Handgun 0 0\%
Commerce Violations - Federal Liquor Offenses Lethal Cutting Instrument 0 0\%
Commerce Violations - Federal Liquor Offenses Other Firearm 0 0\%
Commerce Violations - Federal Liquor Offenses Rifle 0 0\%
Commerce Violations - Federal Liquor Offenses Shotgun 0 0\%
Commerce Violations - Federal Liquor Offenses Total 21 100\%
Commerce Violations - Wildlife Trafficking Rifle 1 100.00\%
Commerce Violations - Wildlife Trafficking Blunt Object 0 0\%
Commerce Violations - Wildlife Trafficking Firearm 0 0\%
Commerce Violations - Wildlife Trafficking Handgun 0 0\%
Commerce Violations - Wildlife Trafficking Lethal Cutting Instrument 0 0\%
Commerce Violations - Wildlife Trafficking Other Firearm 0 0\%
Commerce Violations - Wildlife Trafficking Shotgun 0 0\%
Commerce Violations - Wildlife Trafficking Unarmed 0 0\%
Commerce Violations - Wildlife Trafficking Total 1 100\%
Counterfeiting/Forgery Firearm 83 0.31\%
Counterfeiting/Forgery Shotgun 5 0.02\%
Counterfeiting/Forgery Handgun 333 1.26\%
Counterfeiting/Forgery Unarmed 25,869 97.73\%
Counterfeiting/Forgery Other Firearm 18 0.07\%
Counterfeiting/Forgery Blunt Object 17 0.06\%
Counterfeiting/Forgery Lethal Cutting Instrument 133 0.50\%
Counterfeiting/Forgery Rifle 12 0.05\%
Counterfeiting/Forgery Total 26,470 100\%
Curfew/Loitering/Vagrancy Violations Firearm 4 0.34\%
Curfew/Loitering/Vagrancy Violations Other Firearm 3 0.26\%
Curfew/Loitering/Vagrancy Violations Handgun 23 1.96\%
Curfew/Loitering/Vagrancy Violations Blunt Object 2 0.17\%
Curfew/Loitering/Vagrancy Violations Lethal Cutting Instrument 11 0.94\%
Curfew/Loitering/Vagrancy Violations Unarmed 1,131 96.34\%
Curfew/Loitering/Vagrancy Violations Rifle 0 0\%
Curfew/Loitering/Vagrancy Violations Shotgun 0 0\%
Curfew/Loitering/Vagrancy Violations Total 1,174 100\%
Destruction/Damage/Vandalism of Property Handgun 677 0.54\%
Destruction/Damage/Vandalism of Property Shotgun 67 0.05\%
Destruction/Damage/Vandalism of Property Rifle 66 0.05\%
Destruction/Damage/Vandalism of Property Other Firearm 275 0.22\%
Destruction/Damage/Vandalism of Property Firearm 226 0.18\%
Destruction/Damage/Vandalism of Property Unarmed 120,680 96.44\%
Destruction/Damage/Vandalism of Property Lethal Cutting Instrument 1,964 1.57\%
Destruction/Damage/Vandalism of Property Blunt Object 1,180 0.94\%
Destruction/Damage/Vandalism of Property Total 125,135 100\%
Disorderly Conduct Blunt Object 54 0.41\%
Disorderly Conduct Other Firearm 45 0.34\%
Disorderly Conduct Firearm 41 0.31\%
Disorderly Conduct Lethal Cutting Instrument 240 1.82\%
Disorderly Conduct Handgun 175 1.33\%
Disorderly Conduct Rifle 17 0.13\%
Disorderly Conduct Unarmed 12,582 95.56\%
Disorderly Conduct Shotgun 12 0.09\%
Disorderly Conduct Total 13,166 100\%
Driving Under The Influence Handgun 948 5.67\%
Driving Under The Influence Blunt Object 38 0.23\%
Driving Under The Influence Rifle 32 0.19\%
Driving Under The Influence Shotgun 19 0.11\%
Driving Under The Influence Other Firearm 18 0.11\%
Driving Under The Influence Firearm 163 0.98\%
Driving Under The Influence Lethal Cutting Instrument 161 0.96\%
Driving Under The Influence Unarmed 15,335 91.75\%
Driving Under The Influence Total 16,714 100\%
Drug/Narcotic Offenses - Drug Equipment Violations Firearm 465 0.32\%
Drug/Narcotic Offenses - Drug Equipment Violations Blunt Object 275 0.19\%
Drug/Narcotic Offenses - Drug Equipment Violations Lethal Cutting Instrument 2,667 1.84\%
Drug/Narcotic Offenses - Drug Equipment Violations Other Firearm 189 0.13\%
Drug/Narcotic Offenses - Drug Equipment Violations Unarmed 139,232 96.05\%
Drug/Narcotic Offenses - Drug Equipment Violations Shotgun 139 0.10\%
Drug/Narcotic Offenses - Drug Equipment Violations Rifle 114 0.08\%
Drug/Narcotic Offenses - Drug Equipment Violations Handgun 1,883 1.30\%
Drug/Narcotic Offenses - Drug Equipment Violations Total 144,964 100\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Other Firearm 872 0.14\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Lethal Cutting Instrument 8,854 1.40\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Shotgun 596 0.09\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Unarmed 590,136 93.62\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Firearm 4,181 0.66\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Handgun 23,570 3.74\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Blunt Object 1,074 0.17\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Rifle 1,056 0.17\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Total 630,339 100\%
Embezzlement Firearm 7 0.10\%
Embezzlement Unarmed 6,719 99.20\%
Embezzlement Other Firearm 3 0.04\%
Embezzlement Handgun 28 0.41\%
Embezzlement Shotgun 2 0.03\%
Embezzlement Lethal Cutting Instrument 13 0.19\%
Embezzlement Blunt Object 1 0.01\%
Embezzlement Rifle 0 0\%
Embezzlement Total 6,773 100\%
Extortion/Blackmail Handgun 7 1.62\%
Extortion/Blackmail Lethal Cutting Instrument 5 1.16\%
Extortion/Blackmail Unarmed 416 96.52\%
Extortion/Blackmail Firearm 2 0.46\%
Extortion/Blackmail Other Firearm 1 0.23\%
Extortion/Blackmail Blunt Object 0 0\%
Extortion/Blackmail Rifle 0 0\%
Extortion/Blackmail Shotgun 0 0\%
Extortion/Blackmail Total 431 100\%
Family Offenses, Nonviolent Lethal Cutting Instrument 73 1.82\%
Family Offenses, Nonviolent Handgun 63 1.57\%
Family Offenses, Nonviolent Other Firearm 5 0.12\%
Family Offenses, Nonviolent Shotgun 4 0.10\%
Family Offenses, Nonviolent Unarmed 3,821 95.17\%
Family Offenses, Nonviolent Rifle 3 0.07\%
Family Offenses, Nonviolent Firearm 25 0.62\%
Family Offenses, Nonviolent Blunt Object 21 0.52\%
Family Offenses, Nonviolent Total 4,015 100\%
Fraud Offenses - Credit Card/Atm Fraud Unarmed 6,942 98.65\%
Fraud Offenses - Credit Card/Atm Fraud Other Firearm 6 0.09\%
Fraud Offenses - Credit Card/Atm Fraud Blunt Object 5 0.07\%
Fraud Offenses - Credit Card/Atm Fraud Lethal Cutting Instrument 35 0.50\%
Fraud Offenses - Credit Card/Atm Fraud Handgun 30 0.43\%
Fraud Offenses - Credit Card/Atm Fraud Shotgun 3 0.04\%
Fraud Offenses - Credit Card/Atm Fraud Rifle 2 0.03\%
Fraud Offenses - Credit Card/Atm Fraud Firearm 14 0.20\%
Fraud Offenses - Credit Card/Atm Fraud Total 7,037 100\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Firearm 69 0.22\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Other Firearm 34 0.11\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Unarmed 31,469 98.11\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Handgun 290 0.90\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Blunt Object 29 0.09\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Shotgun 18 0.06\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Lethal Cutting Instrument 152 0.47\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Rifle 13 0.04\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Total 32,074 100\%
Fraud Offenses - Hacking/Computer Invasion Unarmed 155 97.48\%
Fraud Offenses - Hacking/Computer Invasion Handgun 1 0.63\%
Fraud Offenses - Hacking/Computer Invasion Lethal Cutting Instrument 1 0.63\%
Fraud Offenses - Hacking/Computer Invasion Other Firearm 1 0.63\%
Fraud Offenses - Hacking/Computer Invasion Shotgun 1 0.63\%
Fraud Offenses - Hacking/Computer Invasion Blunt Object 0 0\%
Fraud Offenses - Hacking/Computer Invasion Firearm 0 0\%
Fraud Offenses - Hacking/Computer Invasion Rifle 0 0\%
Fraud Offenses - Hacking/Computer Invasion Total 159 100\%
Fraud Offenses - Identity Theft Unarmed 6,781 96.28\%
Fraud Offenses - Identity Theft Rifle 3 0.04\%
Fraud Offenses - Identity Theft Shotgun 3 0.04\%
Fraud Offenses - Identity Theft Firearm 17 0.24\%
Fraud Offenses - Identity Theft Blunt Object 11 0.16\%
Fraud Offenses - Identity Theft Handgun 109 1.55\%
Fraud Offenses - Identity Theft Lethal Cutting Instrument 109 1.55\%
Fraud Offenses - Identity Theft Other Firearm 10 0.14\%
Fraud Offenses - Identity Theft Total 7,043 100\%
Fraud Offenses - Impersonation Rifle 6 0.05\%
Fraud Offenses - Impersonation Shotgun 5 0.05\%
Fraud Offenses - Impersonation Firearm 21 0.19\%
Fraud Offenses - Impersonation Blunt Object 20 0.18\%
Fraud Offenses - Impersonation Handgun 162 1.48\%
Fraud Offenses - Impersonation Other Firearm 15 0.14\%
Fraud Offenses - Impersonation Lethal Cutting Instrument 137 1.25\%
Fraud Offenses - Impersonation Unarmed 10,612 96.67\%
Fraud Offenses - Impersonation Total 10,978 100\%
Fraud Offenses - Welfare Fraud Unarmed 117 99.15\%
Fraud Offenses - Welfare Fraud Rifle 1 0.85\%
Fraud Offenses - Welfare Fraud Blunt Object 0 0\%
Fraud Offenses - Welfare Fraud Firearm 0 0\%
Fraud Offenses - Welfare Fraud Handgun 0 0\%
Fraud Offenses - Welfare Fraud Lethal Cutting Instrument 0 0\%
Fraud Offenses - Welfare Fraud Other Firearm 0 0\%
Fraud Offenses - Welfare Fraud Shotgun 0 0\%
Fraud Offenses - Welfare Fraud Total 118 100\%
Fraud Offenses - Wire Fraud Unarmed 341 99.71\%
Fraud Offenses - Wire Fraud Handgun 1 0.29\%
Fraud Offenses - Wire Fraud Blunt Object 0 0\%
Fraud Offenses - Wire Fraud Firearm 0 0\%
Fraud Offenses - Wire Fraud Lethal Cutting Instrument 0 0\%
Fraud Offenses - Wire Fraud Other Firearm 0 0\%
Fraud Offenses - Wire Fraud Rifle 0 0\%
Fraud Offenses - Wire Fraud Shotgun 0 0\%
Fraud Offenses - Wire Fraud Total 342 100\%
Fugitive Offenses - Flight To Avoid Prosecution Unarmed 50 98.04\%
Fugitive Offenses - Flight To Avoid Prosecution Rifle 1 1.96\%
Fugitive Offenses - Flight To Avoid Prosecution Blunt Object 0 0\%
Fugitive Offenses - Flight To Avoid Prosecution Firearm 0 0\%
Fugitive Offenses - Flight To Avoid Prosecution Handgun 0 0\%
Fugitive Offenses - Flight To Avoid Prosecution Lethal Cutting Instrument 0 0\%
Fugitive Offenses - Flight To Avoid Prosecution Other Firearm 0 0\%
Fugitive Offenses - Flight To Avoid Prosecution Shotgun 0 0\%
Fugitive Offenses - Flight To Avoid Prosecution Total 51 100\%
Gambling Offenses - Betting/Wagering Handgun 5 1.67\%
Gambling Offenses - Betting/Wagering Unarmed 293 97.99\%
Gambling Offenses - Betting/Wagering Rifle 1 0.33\%
Gambling Offenses - Betting/Wagering Blunt Object 0 0\%
Gambling Offenses - Betting/Wagering Firearm 0 0\%
Gambling Offenses - Betting/Wagering Lethal Cutting Instrument 0 0\%
Gambling Offenses - Betting/Wagering Other Firearm 0 0\%
Gambling Offenses - Betting/Wagering Shotgun 0 0\%
Gambling Offenses - Betting/Wagering Total 299 100\%
Gambling Offenses - Gambling Equipment Violations Unarmed 202 100.00\%
Gambling Offenses - Gambling Equipment Violations Blunt Object 0 0\%
Gambling Offenses - Gambling Equipment Violations Firearm 0 0\%
Gambling Offenses - Gambling Equipment Violations Handgun 0 0\%
Gambling Offenses - Gambling Equipment Violations Lethal Cutting Instrument 0 0\%
Gambling Offenses - Gambling Equipment Violations Other Firearm 0 0\%
Gambling Offenses - Gambling Equipment Violations Rifle 0 0\%
Gambling Offenses - Gambling Equipment Violations Shotgun 0 0\%
Gambling Offenses - Gambling Equipment Violations Total 202 100\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Unarmed 474 99.37\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Firearm 1 0.21\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Handgun 1 0.21\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Rifle 1 0.21\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Blunt Object 0 0\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Lethal Cutting Instrument 0 0\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Other Firearm 0 0\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Shotgun 0 0\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Total 477 100\%
Human Trafficking - Commercial Sex Acts Unarmed 415 98.34\%
Human Trafficking - Commercial Sex Acts Handgun 3 0.71\%
Human Trafficking - Commercial Sex Acts Shotgun 2 0.47\%
Human Trafficking - Commercial Sex Acts Firearm 1 0.24\%
Human Trafficking - Commercial Sex Acts Lethal Cutting Instrument 1 0.24\%
Human Trafficking - Commercial Sex Acts Blunt Object 0 0\%
Human Trafficking - Commercial Sex Acts Other Firearm 0 0\%
Human Trafficking - Commercial Sex Acts Rifle 0 0\%
Human Trafficking - Commercial Sex Acts Total 422 100\%
Human Trafficking - Involuntary Servitude Unarmed 58 100.00\%
Human Trafficking - Involuntary Servitude Blunt Object 0 0\%
Human Trafficking - Involuntary Servitude Firearm 0 0\%
Human Trafficking - Involuntary Servitude Handgun 0 0\%
Human Trafficking - Involuntary Servitude Lethal Cutting Instrument 0 0\%
Human Trafficking - Involuntary Servitude Other Firearm 0 0\%
Human Trafficking - Involuntary Servitude Rifle 0 0\%
Human Trafficking - Involuntary Servitude Shotgun 0 0\%
Human Trafficking - Involuntary Servitude Total 58 100\%
Kidnapping/Abduction Blunt Object 57 0.40\%
Kidnapping/Abduction Handgun 485 3.43\%
Kidnapping/Abduction Lethal Cutting Instrument 407 2.88\%
Kidnapping/Abduction Rifle 28 0.20\%
Kidnapping/Abduction Shotgun 18 0.13\%
Kidnapping/Abduction Unarmed 12,952 91.52\%
Kidnapping/Abduction Firearm 105 0.74\%
Kidnapping/Abduction Other Firearm 100 0.71\%
Kidnapping/Abduction Total 14,152 100\%
Larceny/Theft Offenses - All Other Larceny Other Firearm 87 0.07\%
Larceny/Theft Offenses - All Other Larceny Shotgun 49 0.04\%
Larceny/Theft Offenses - All Other Larceny Rifle 48 0.04\%
Larceny/Theft Offenses - All Other Larceny Firearm 441 0.34\%
Larceny/Theft Offenses - All Other Larceny Unarmed 126,210 97.43\%
Larceny/Theft Offenses - All Other Larceny Blunt Object 104 0.08\%
Larceny/Theft Offenses - All Other Larceny Handgun 1,515 1.17\%
Larceny/Theft Offenses - All Other Larceny Lethal Cutting Instrument 1,088 0.84\%
Larceny/Theft Offenses - All Other Larceny Total 129,542 100\%
Larceny/Theft Offenses - Pocket-Picking Other Firearm 5 0.12\%
Larceny/Theft Offenses - Pocket-Picking Lethal Cutting Instrument 44 1.04\%
Larceny/Theft Offenses - Pocket-Picking Unarmed 4,162 98.00\%
Larceny/Theft Offenses - Pocket-Picking Blunt Object 4 0.09\%
Larceny/Theft Offenses - Pocket-Picking Firearm 3 0.07\%
Larceny/Theft Offenses - Pocket-Picking Handgun 27 0.64\%
Larceny/Theft Offenses - Pocket-Picking Rifle 1 0.02\%
Larceny/Theft Offenses - Pocket-Picking Shotgun 1 0.02\%
Larceny/Theft Offenses - Pocket-Picking Total 4,247 100\%
Larceny/Theft Offenses - Purse-Snatching Firearm 5 0.40\%
Larceny/Theft Offenses - Purse-Snatching Handgun 4 0.32\%
Larceny/Theft Offenses - Purse-Snatching Blunt Object 2 0.16\%
Larceny/Theft Offenses - Purse-Snatching Lethal Cutting Instrument 12 0.97\%
Larceny/Theft Offenses - Purse-Snatching Unarmed 1,219 98.07\%
Larceny/Theft Offenses - Purse-Snatching Other Firearm 1 0.08\%
Larceny/Theft Offenses - Purse-Snatching Rifle 0 0\%
Larceny/Theft Offenses - Purse-Snatching Shotgun 0 0\%
Larceny/Theft Offenses - Purse-Snatching Total 1,243 100\%
Larceny/Theft Offenses - Shoplifting Rifle 8 0.00\%
Larceny/Theft Offenses - Shoplifting Shotgun 78 0.03\%
Larceny/Theft Offenses - Shoplifting Handgun 745 0.24\%
Larceny/Theft Offenses - Shoplifting Unarmed 304,798 98.69\%
Larceny/Theft Offenses - Shoplifting Firearm 226 0.07\%
Larceny/Theft Offenses - Shoplifting Lethal Cutting Instrument 2,697 0.87\%
Larceny/Theft Offenses - Shoplifting Blunt Object 187 0.06\%
Larceny/Theft Offenses - Shoplifting Other Firearm 117 0.04\%
Larceny/Theft Offenses - Shoplifting Total 308,856 100\%
Larceny/Theft Offenses - Theft From Building Blunt Object 9 0.05\%
Larceny/Theft Offenses - Theft From Building Rifle 8 0.04\%
Larceny/Theft Offenses - Theft From Building Firearm 22 0.11\%
Larceny/Theft Offenses - Theft From Building Unarmed 19,062 98.50\%
Larceny/Theft Offenses - Theft From Building Other Firearm 15 0.08\%
Larceny/Theft Offenses - Theft From Building Lethal Cutting Instrument 120 0.62\%
Larceny/Theft Offenses - Theft From Building Handgun 107 0.55\%
Larceny/Theft Offenses - Theft From Building Shotgun 10 0.05\%
Larceny/Theft Offenses - Theft From Building Total 19,353 100\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Lethal Cutting Instrument 7 1.19\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Unarmed 576 97.96\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Handgun 3 0.51\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Blunt Object 2 0.34\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Firearm 0 0\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Other Firearm 0 0\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Rifle 0 0\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Shotgun 0 0\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Total 588 100\%
Larceny/Theft Offenses - Theft From Motor Vehicle Shotgun 7 0.03\%
Larceny/Theft Offenses - Theft From Motor Vehicle Handgun 589 2.74\%
Larceny/Theft Offenses - Theft From Motor Vehicle Blunt Object 32 0.15\%
Larceny/Theft Offenses - Theft From Motor Vehicle Lethal Cutting Instrument 302 1.41\%
Larceny/Theft Offenses - Theft From Motor Vehicle Other Firearm 29 0.14\%
Larceny/Theft Offenses - Theft From Motor Vehicle Rifle 22 0.10\%
Larceny/Theft Offenses - Theft From Motor Vehicle Unarmed 20,332 94.73\%
Larceny/Theft Offenses - Theft From Motor Vehicle Firearm 151 0.70\%
Larceny/Theft Offenses - Theft From Motor Vehicle Total 21,464 100\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Blunt Object 6 0.18\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Other Firearm 6 0.18\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Handgun 46 1.34\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Lethal Cutting Instrument 36 1.05\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Unarmed 3,309 96.64\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Firearm 20 0.58\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Rifle 1 0.03\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Shotgun 0 0\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Total 3,424 100\%
Liquor Law Violations Other Firearm 6 0.17\%
Liquor Law Violations Rifle 6 0.17\%
Liquor Law Violations Unarmed 3,336 94.61\%
Liquor Law Violations Lethal Cutting Instrument 23 0.65\%
Liquor Law Violations Shotgun 2 0.06\%
Liquor Law Violations Firearm 19 0.54\%
Liquor Law Violations Handgun 124 3.52\%
Liquor Law Violations Blunt Object 10 0.28\%
Liquor Law Violations Total 3,526 100\%
Motor Vehicle Theft Other Firearm 79 0.15\%
Motor Vehicle Theft Blunt Object 78 0.14\%
Motor Vehicle Theft Lethal Cutting Instrument 656 1.22\%
Motor Vehicle Theft Rifle 52 0.10\%
Motor Vehicle Theft Unarmed 51,599 95.61\%
Motor Vehicle Theft Shotgun 33 0.06\%
Motor Vehicle Theft Firearm 282 0.52\%
Motor Vehicle Theft Handgun 1,191 2.21\%
Motor Vehicle Theft Total 53,970 100\%
Murder/Nonnegligent Manslaughter Rifle 80 1.10\%
Murder/Nonnegligent Manslaughter Unarmed 5,024 69.18\%
Murder/Nonnegligent Manslaughter Lethal Cutting Instrument 430 5.92\%
Murder/Nonnegligent Manslaughter Shotgun 43 0.59\%
Murder/Nonnegligent Manslaughter Firearm 368 5.07\%
Murder/Nonnegligent Manslaughter Blunt Object 36 0.50\%
Murder/Nonnegligent Manslaughter Other Firearm 36 0.50\%
Murder/Nonnegligent Manslaughter Handgun 1,245 17.14\%
Murder/Nonnegligent Manslaughter Total 7,262 100\%
Negligent Manslaughter Unarmed 850 89.19\%
Negligent Manslaughter Handgun 64 6.72\%
Negligent Manslaughter Rifle 4 0.42\%
Negligent Manslaughter Blunt Object 2 0.21\%
Negligent Manslaughter Firearm 19 1.99\%
Negligent Manslaughter Lethal Cutting Instrument 12 1.26\%
Negligent Manslaughter Other Firearm 1 0.10\%
Negligent Manslaughter Shotgun 1 0.10\%
Negligent Manslaughter Total 953 100\%
Pornography/Obscene Material Unarmed 5,719 99.31\%
Pornography/Obscene Material Firearm 5 0.09\%
Pornography/Obscene Material Handgun 21 0.36\%
Pornography/Obscene Material Lethal Cutting Instrument 11 0.19\%
Pornography/Obscene Material Blunt Object 1 0.02\%
Pornography/Obscene Material Other Firearm 1 0.02\%
Pornography/Obscene Material Rifle 1 0.02\%
Pornography/Obscene Material Shotgun 0 0\%
Pornography/Obscene Material Total 5,759 100\%
Prostitution Offenses - Assisting Or Promoting Prostitution Lethal Cutting Instrument 5 0.27\%
Prostitution Offenses - Assisting Or Promoting Prostitution Other Firearm 20 1.08\%
Prostitution Offenses - Assisting Or Promoting Prostitution Blunt Object 2 0.11\%
Prostitution Offenses - Assisting Or Promoting Prostitution Firearm 2 0.11\%
Prostitution Offenses - Assisting Or Promoting Prostitution Handgun 16 0.87\%
Prostitution Offenses - Assisting Or Promoting Prostitution Unarmed 1,802 97.56\%
Prostitution Offenses - Assisting Or Promoting Prostitution Rifle 0 0\%
Prostitution Offenses - Assisting Or Promoting Prostitution Shotgun 0 0\%
Prostitution Offenses - Assisting Or Promoting Prostitution Total 1,847 100\%
Prostitution Offenses - Prostitution Firearm 97 1.33\%
Prostitution Offenses - Prostitution Unarmed 7,127 97.95\%
Prostitution Offenses - Prostitution Other Firearm 4 0.05\%
Prostitution Offenses - Prostitution Blunt Object 3 0.04\%
Prostitution Offenses - Prostitution Handgun 29 0.40\%
Prostitution Offenses - Prostitution Lethal Cutting Instrument 15 0.21\%
Prostitution Offenses - Prostitution Rifle 1 0.01\%
Prostitution Offenses - Prostitution Shotgun 0 0\%
Prostitution Offenses - Prostitution Total 7,276 100\%
Prostitution Offenses - Purchasing Prostitution Firearm 5 0.31\%
Prostitution Offenses - Purchasing Prostitution Handgun 16 1.00\%
Prostitution Offenses - Purchasing Prostitution Unarmed 1,578 98.56\%
Prostitution Offenses - Purchasing Prostitution Blunt Object 1 0.06\%
Prostitution Offenses - Purchasing Prostitution Lethal Cutting Instrument 1 0.06\%
Prostitution Offenses - Purchasing Prostitution Other Firearm 0 0\%
Prostitution Offenses - Purchasing Prostitution Rifle 0 0\%
Prostitution Offenses - Purchasing Prostitution Shotgun 0 0\%
Prostitution Offenses - Purchasing Prostitution Total 1,601 100\%
Robbery Firearm 973 2.23\%
Robbery Blunt Object 683 1.56\%
Robbery Shotgun 57 0.13\%
Robbery Other Firearm 567 1.30\%
Robbery Unarmed 34,050 77.92\%
Robbery Handgun 3,941 9.02\%
Robbery Lethal Cutting Instrument 3,314 7.58\%
Robbery Rifle 116 0.27\%
Robbery Total 43,701 100\%
Runaway Unarmed 38 100.00\%
Runaway Blunt Object 0 0\%
Runaway Firearm 0 0\%
Runaway Handgun 0 0\%
Runaway Lethal Cutting Instrument 0 0\%
Runaway Other Firearm 0 0\%
Runaway Rifle 0 0\%
Runaway Shotgun 0 0\%
Runaway Total 38 100\%
Sex Offenses - Failure To Register As A Sex Offender Unarmed 21 100.00\%
Sex Offenses - Failure To Register As A Sex Offender Blunt Object 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Firearm 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Handgun 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Lethal Cutting Instrument 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Other Firearm 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Rifle 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Shotgun 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Total 21 100\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Lethal Cutting Instrument 42 0.36\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Blunt Object 4 0.03\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Shotgun 4 0.03\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Handgun 18 0.15\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Firearm 14 0.12\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Other Firearm 13 0.11\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Unarmed 11,570 99.19\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Rifle 0 0\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Total 11,665 100\%
Sex Offenses - Incest Unarmed 215 97.29\%
Sex Offenses - Incest Blunt Object 2 0.90\%
Sex Offenses - Incest Lethal Cutting Instrument 2 0.90\%
Sex Offenses - Incest Handgun 1 0.45\%
Sex Offenses - Incest Other Firearm 1 0.45\%
Sex Offenses - Incest Firearm 0 0\%
Sex Offenses - Incest Rifle 0 0\%
Sex Offenses - Incest Shotgun 0 0\%
Sex Offenses - Incest Total 221 100\%
Sex Offenses - Rape Lethal Cutting Instrument 95 1.03\%
Sex Offenses - Rape Handgun 80 0.87\%
Sex Offenses - Rape Unarmed 8,953 97.43\%
Sex Offenses - Rape Rifle 4 0.04\%
Sex Offenses - Rape Other Firearm 23 0.25\%
Sex Offenses - Rape Firearm 22 0.24\%
Sex Offenses - Rape Shotgun 2 0.02\%
Sex Offenses - Rape Blunt Object 10 0.11\%
Sex Offenses - Rape Total 9,189 100\%
Sex Offenses - Sexual Assault With An Object Unarmed 837 98.01\%
Sex Offenses - Sexual Assault With An Object Lethal Cutting Instrument 6 0.70\%
Sex Offenses - Sexual Assault With An Object Handgun 5 0.59\%
Sex Offenses - Sexual Assault With An Object Blunt Object 4 0.47\%
Sex Offenses - Sexual Assault With An Object Firearm 1 0.12\%
Sex Offenses - Sexual Assault With An Object Shotgun 1 0.12\%
Sex Offenses - Sexual Assault With An Object Other Firearm 0 0\%
Sex Offenses - Sexual Assault With An Object Rifle 0 0\%
Sex Offenses - Sexual Assault With An Object Total 854 100\%
Sex Offenses - Sodomy Firearm 7 0.30\%
Sex Offenses - Sodomy Blunt Object 3 0.13\%
Sex Offenses - Sodomy Rifle 3 0.13\%
Sex Offenses - Sodomy Unarmed 2,275 98.23\%
Sex Offenses - Sodomy Other Firearm 2 0.09\%
Sex Offenses - Sodomy Shotgun 2 0.09\%
Sex Offenses - Sodomy Lethal Cutting Instrument 14 0.60\%
Sex Offenses - Sodomy Handgun 10 0.43\%
Sex Offenses - Sodomy Total 2,316 100\%
Sex Offenses - Statutory Rape Handgun 7 0.46\%
Sex Offenses - Statutory Rape Lethal Cutting Instrument 5 0.33\%
Sex Offenses - Statutory Rape Unarmed 1,518 99.15\%
Sex Offenses - Statutory Rape Shotgun 1 0.07\%
Sex Offenses - Statutory Rape Blunt Object 0 0\%
Sex Offenses - Statutory Rape Firearm 0 0\%
Sex Offenses - Statutory Rape Other Firearm 0 0\%
Sex Offenses - Statutory Rape Rifle 0 0\%
Sex Offenses - Statutory Rape Total 1,531 100\%
Stolen Property Offenses (Receiving, Selling, Etc.) Shotgun 82 0.14\%
Stolen Property Offenses (Receiving, Selling, Etc.) Lethal Cutting Instrument 718 1.25\%
Stolen Property Offenses (Receiving, Selling, Etc.) Firearm 646 1.12\%
Stolen Property Offenses (Receiving, Selling, Etc.) Unarmed 50,817 88.30\%
Stolen Property Offenses (Receiving, Selling, Etc.) Handgun 4,749 8.25\%
Stolen Property Offenses (Receiving, Selling, Etc.) Other Firearm 261 0.45\%
Stolen Property Offenses (Receiving, Selling, Etc.) Rifle 163 0.28\%
Stolen Property Offenses (Receiving, Selling, Etc.) Blunt Object 114 0.20\%
Stolen Property Offenses (Receiving, Selling, Etc.) Total 57,550 100\%
Trespass of Real Property Handgun 89 0.78\%
Trespass of Real Property Rifle 5 0.04\%
Trespass of Real Property Firearm 32 0.28\%
Trespass of Real Property Blunt Object 23 0.20\%
Trespass of Real Property Lethal Cutting Instrument 220 1.92\%
Trespass of Real Property Other Firearm 19 0.17\%
Trespass of Real Property Unarmed 11,075 96.61\%
Trespass of Real Property Shotgun 1 0.01\%
Trespass of Real Property Total 11,464 100\%
Weapon Law Violations - Explosives Unarmed 1 100.00\%
Weapon Law Violations - Explosives Blunt Object 0 0\%
Weapon Law Violations - Explosives Firearm 0 0\%
Weapon Law Violations - Explosives Handgun 0 0\%
Weapon Law Violations - Explosives Lethal Cutting Instrument 0 0\%
Weapon Law Violations - Explosives Other Firearm 0 0\%
Weapon Law Violations - Explosives Rifle 0 0\%
Weapon Law Violations - Explosives Shotgun 0 0\%
Weapon Law Violations - Explosives Total 1 100\%
Weapon Law Violations - Weapon Law Violations Lethal Cutting Instrument 9,950 7.67\%
Weapon Law Violations - Weapon Law Violations Firearm 8,734 6.73\%
Weapon Law Violations - Weapon Law Violations Handgun 53,736 41.43\%
Weapon Law Violations - Weapon Law Violations Unarmed 49,346 38.05\%
Weapon Law Violations - Weapon Law Violations Blunt Object 2,873 2.22\%
Weapon Law Violations - Weapon Law Violations Rifle 2,102 1.62\%
Weapon Law Violations - Weapon Law Violations Other Firearm 1,775 1.37\%
Weapon Law Violations - Weapon Law Violations Shotgun 1,188 0.92\%
Weapon Law Violations - Weapon Law Violations Total 129,704 100\%
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeMurderWeapon-1} + +} + +\caption{The share of murder and nonnegligent manslaughter arrestees by weapon carried at arrest, 1991-2023.}(\#fig:nibrsArresteeMurderWeapon) +\end{figure} + + + +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:arresteeoffenseWeapon)The number and percent of arrestees by offense and weapon, using the first weapon reported, 2023.}\\ +\hline +Offense & Type of Arrest & \textbackslash{}\# of arrestees & \textbackslash{}\% of arrestees\\ +\hline +\endfirsthead +\caption[]{(\#tab:arresteeoffenseWeapon)The number and percent of arrestees by offense and weapon, using the first weapon reported, 2023. \textit{(continued)}}\\ +\hline +Offense & Type of Arrest & \textbackslash{}\# of arrestees & \textbackslash{}\% of arrestees\\ +\hline +\endhead +All Other Offenses & Shotgun & 76 & 0.10\textbackslash{}\%\\ +\hline +All Other Offenses & Unarmed & 72,425 & 94.04\textbackslash{}\%\\ +\hline +All Other Offenses & Firearm & 565 & 0.73\textbackslash{}\%\\ +\hline +All Other Offenses & Blunt Object & 250 & 0.32\textbackslash{}\%\\ +\hline +All Other Offenses & Handgun & 2,066 & 2.68\textbackslash{}\%\\ +\hline +All Other Offenses & Other Firearm & 140 & 0.18\textbackslash{}\%\\ +\hline +All Other Offenses & Rifle & 136 & 0.18\textbackslash{}\%\\ +\hline +All Other Offenses & Lethal Cutting Instrument & 1,357 & 1.76\textbackslash{}\%\\ +\hline +All Other Offenses & Total & 77,015 & 100\textbackslash{}\%\\ +\hline +Animal Cruelty & Blunt Object & 8 & 0.20\textbackslash{}\%\\ +\hline +Animal Cruelty & Other Firearm & 6 & 0.15\textbackslash{}\%\\ +\hline +Animal Cruelty & Rifle & 6 & 0.15\textbackslash{}\%\\ +\hline +Animal Cruelty & Shotgun & 4 & 0.10\textbackslash{}\%\\ +\hline +Animal Cruelty & Lethal Cutting Instrument & 34 & 0.85\textbackslash{}\%\\ +\hline +Animal Cruelty & Unarmed & 3,932 & 97.76\textbackslash{}\%\\ +\hline +Animal Cruelty & Handgun & 22 & 0.55\textbackslash{}\%\\ +\hline +Animal Cruelty & Firearm & 10 & 0.25\textbackslash{}\%\\ +\hline +Animal Cruelty & Total & 4,022 & 100\textbackslash{}\%\\ +\hline +Arson & Unarmed & 6,455 & 97.13\textbackslash{}\%\\ +\hline +Arson & Rifle & 4 & 0.06\textbackslash{}\%\\ +\hline +Arson & Handgun & 32 & 0.48\textbackslash{}\%\\ +\hline +Arson & Shotgun & 3 & 0.05\textbackslash{}\%\\ +\hline +Arson & Blunt Object & 19 & 0.29\textbackslash{}\%\\ +\hline +Arson & Lethal Cutting Instrument & 113 & 1.70\textbackslash{}\%\\ +\hline +Arson & Firearm & 10 & 0.15\textbackslash{}\%\\ +\hline +Arson & Other Firearm & 10 & 0.15\textbackslash{}\%\\ +\hline +Arson & Total & 6,646 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Rifle & 935 & 0.37\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Blunt Object & 9,759 & 3.84\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Shotgun & 749 & 0.29\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Firearm & 3,618 & 1.42\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Lethal Cutting Instrument & 27,473 & 10.81\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Unarmed & 194,701 & 76.60\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Handgun & 15,307 & 6.02\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Other Firearm & 1,641 & 0.65\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Total & 254,183 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Unarmed & 96,990 & 92.23\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Blunt Object & 684 & 0.65\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Firearm & 615 & 0.58\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Other Firearm & 573 & 0.54\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Lethal Cutting Instrument & 3,747 & 3.56\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Handgun & 2,237 & 2.13\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Rifle & 174 & 0.17\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Shotgun & 144 & 0.14\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Total & 105,164 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Unarmed & 671,810 & 97.70\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Lethal Cutting Instrument & 5,501 & 0.80\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Handgun & 3,190 & 0.46\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Other Firearm & 3,033 & 0.44\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Shotgun & 278 & 0.04\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Blunt Object & 2,492 & 0.36\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Rifle & 193 & 0.03\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Firearm & 1,152 & 0.17\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Total & 687,649 & 100\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Unarmed & 58 & 92.06\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Handgun & 3 & 4.76\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Lethal Cutting Instrument & 2 & 3.17\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Total & 63 & 100\textbackslash{}\%\\ +\hline +Bribery & Handgun & 4 & 1.55\textbackslash{}\%\\ +\hline +Bribery & Lethal Cutting Instrument & 3 & 1.16\textbackslash{}\%\\ +\hline +Bribery & Unarmed & 247 & 95.74\textbackslash{}\%\\ +\hline +Bribery & Firearm & 2 & 0.78\textbackslash{}\%\\ +\hline +Bribery & Other Firearm & 2 & 0.78\textbackslash{}\%\\ +\hline +Bribery & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Bribery & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Bribery & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Bribery & Total & 258 & 100\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Handgun & 950 & 1.19\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Rifle & 80 & 0.10\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Unarmed & 76,398 & 95.50\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Shotgun & 63 & 0.08\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Blunt Object & 346 & 0.43\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Firearm & 290 & 0.36\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Other Firearm & 203 & 0.25\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Lethal Cutting Instrument & 1,664 & 2.08\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Total & 79,994 & 100\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Unarmed & 21 & 100.00\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Total & 21 & 100\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Rifle & 1 & 100.00\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Unarmed & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Total & 1 & 100\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Firearm & 83 & 0.31\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Shotgun & 5 & 0.02\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Handgun & 333 & 1.26\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Unarmed & 25,869 & 97.73\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Other Firearm & 18 & 0.07\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Blunt Object & 17 & 0.06\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Lethal Cutting Instrument & 133 & 0.50\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Rifle & 12 & 0.05\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Total & 26,470 & 100\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Firearm & 4 & 0.34\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Other Firearm & 3 & 0.26\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Handgun & 23 & 1.96\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Blunt Object & 2 & 0.17\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Lethal Cutting Instrument & 11 & 0.94\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Unarmed & 1,131 & 96.34\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Total & 1,174 & 100\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Handgun & 677 & 0.54\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Shotgun & 67 & 0.05\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Rifle & 66 & 0.05\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Other Firearm & 275 & 0.22\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Firearm & 226 & 0.18\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Unarmed & 120,680 & 96.44\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Lethal Cutting Instrument & 1,964 & 1.57\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Blunt Object & 1,180 & 0.94\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Total & 125,135 & 100\textbackslash{}\%\\ +\hline +Disorderly Conduct & Blunt Object & 54 & 0.41\textbackslash{}\%\\ +\hline +Disorderly Conduct & Other Firearm & 45 & 0.34\textbackslash{}\%\\ +\hline +Disorderly Conduct & Firearm & 41 & 0.31\textbackslash{}\%\\ +\hline +Disorderly Conduct & Lethal Cutting Instrument & 240 & 1.82\textbackslash{}\%\\ +\hline +Disorderly Conduct & Handgun & 175 & 1.33\textbackslash{}\%\\ +\hline +Disorderly Conduct & Rifle & 17 & 0.13\textbackslash{}\%\\ +\hline +Disorderly Conduct & Unarmed & 12,582 & 95.56\textbackslash{}\%\\ +\hline +Disorderly Conduct & Shotgun & 12 & 0.09\textbackslash{}\%\\ +\hline +Disorderly Conduct & Total & 13,166 & 100\textbackslash{}\%\\ +\hline +Driving Under The Influence & Handgun & 948 & 5.67\textbackslash{}\%\\ +\hline +Driving Under The Influence & Blunt Object & 38 & 0.23\textbackslash{}\%\\ +\hline +Driving Under The Influence & Rifle & 32 & 0.19\textbackslash{}\%\\ +\hline +Driving Under The Influence & Shotgun & 19 & 0.11\textbackslash{}\%\\ +\hline +Driving Under The Influence & Other Firearm & 18 & 0.11\textbackslash{}\%\\ +\hline +Driving Under The Influence & Firearm & 163 & 0.98\textbackslash{}\%\\ +\hline +Driving Under The Influence & Lethal Cutting Instrument & 161 & 0.96\textbackslash{}\%\\ +\hline +Driving Under The Influence & Unarmed & 15,335 & 91.75\textbackslash{}\%\\ +\hline +Driving Under The Influence & Total & 16,714 & 100\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Firearm & 465 & 0.32\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Blunt Object & 275 & 0.19\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Lethal Cutting Instrument & 2,667 & 1.84\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Other Firearm & 189 & 0.13\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Unarmed & 139,232 & 96.05\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Shotgun & 139 & 0.10\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Rifle & 114 & 0.08\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Handgun & 1,883 & 1.30\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Total & 144,964 & 100\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Other Firearm & 872 & 0.14\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Lethal Cutting Instrument & 8,854 & 1.40\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Shotgun & 596 & 0.09\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Unarmed & 590,136 & 93.62\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Firearm & 4,181 & 0.66\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Handgun & 23,570 & 3.74\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Blunt Object & 1,074 & 0.17\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Rifle & 1,056 & 0.17\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Total & 630,339 & 100\textbackslash{}\%\\ +\hline +Embezzlement & Firearm & 7 & 0.10\textbackslash{}\%\\ +\hline +Embezzlement & Unarmed & 6,719 & 99.20\textbackslash{}\%\\ +\hline +Embezzlement & Other Firearm & 3 & 0.04\textbackslash{}\%\\ +\hline +Embezzlement & Handgun & 28 & 0.41\textbackslash{}\%\\ +\hline +Embezzlement & Shotgun & 2 & 0.03\textbackslash{}\%\\ +\hline +Embezzlement & Lethal Cutting Instrument & 13 & 0.19\textbackslash{}\%\\ +\hline +Embezzlement & Blunt Object & 1 & 0.01\textbackslash{}\%\\ +\hline +Embezzlement & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Embezzlement & Total & 6,773 & 100\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Handgun & 7 & 1.62\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Lethal Cutting Instrument & 5 & 1.16\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Unarmed & 416 & 96.52\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Firearm & 2 & 0.46\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Other Firearm & 1 & 0.23\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Total & 431 & 100\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Lethal Cutting Instrument & 73 & 1.82\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Handgun & 63 & 1.57\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Other Firearm & 5 & 0.12\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Shotgun & 4 & 0.10\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Unarmed & 3,821 & 95.17\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Rifle & 3 & 0.07\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Firearm & 25 & 0.62\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Blunt Object & 21 & 0.52\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Total & 4,015 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Unarmed & 6,942 & 98.65\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Other Firearm & 6 & 0.09\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Blunt Object & 5 & 0.07\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Lethal Cutting Instrument & 35 & 0.50\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Handgun & 30 & 0.43\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Shotgun & 3 & 0.04\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Rifle & 2 & 0.03\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Firearm & 14 & 0.20\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Total & 7,037 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Firearm & 69 & 0.22\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Other Firearm & 34 & 0.11\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Unarmed & 31,469 & 98.11\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Handgun & 290 & 0.90\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Blunt Object & 29 & 0.09\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Shotgun & 18 & 0.06\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Lethal Cutting Instrument & 152 & 0.47\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Rifle & 13 & 0.04\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Total & 32,074 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Unarmed & 155 & 97.48\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Handgun & 1 & 0.63\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Lethal Cutting Instrument & 1 & 0.63\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Other Firearm & 1 & 0.63\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Shotgun & 1 & 0.63\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Total & 159 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Unarmed & 6,781 & 96.28\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Rifle & 3 & 0.04\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Shotgun & 3 & 0.04\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Firearm & 17 & 0.24\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Blunt Object & 11 & 0.16\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Handgun & 109 & 1.55\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Lethal Cutting Instrument & 109 & 1.55\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Other Firearm & 10 & 0.14\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Total & 7,043 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Rifle & 6 & 0.05\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Shotgun & 5 & 0.05\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Firearm & 21 & 0.19\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Blunt Object & 20 & 0.18\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Handgun & 162 & 1.48\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Other Firearm & 15 & 0.14\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Lethal Cutting Instrument & 137 & 1.25\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Unarmed & 10,612 & 96.67\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Total & 10,978 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Unarmed & 117 & 99.15\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Rifle & 1 & 0.85\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Total & 118 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Unarmed & 341 & 99.71\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Handgun & 1 & 0.29\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Total & 342 & 100\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Unarmed & 50 & 98.04\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Rifle & 1 & 1.96\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Total & 51 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Handgun & 5 & 1.67\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Unarmed & 293 & 97.99\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Rifle & 1 & 0.33\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Total & 299 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Unarmed & 202 & 100.00\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Total & 202 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Unarmed & 474 & 99.37\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Firearm & 1 & 0.21\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Handgun & 1 & 0.21\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Rifle & 1 & 0.21\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Total & 477 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Unarmed & 415 & 98.34\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Handgun & 3 & 0.71\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Shotgun & 2 & 0.47\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Firearm & 1 & 0.24\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Lethal Cutting Instrument & 1 & 0.24\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Total & 422 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Unarmed & 58 & 100.00\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Total & 58 & 100\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Blunt Object & 57 & 0.40\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Handgun & 485 & 3.43\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Lethal Cutting Instrument & 407 & 2.88\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Rifle & 28 & 0.20\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Shotgun & 18 & 0.13\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Unarmed & 12,952 & 91.52\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Firearm & 105 & 0.74\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Other Firearm & 100 & 0.71\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Total & 14,152 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Other Firearm & 87 & 0.07\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Shotgun & 49 & 0.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Rifle & 48 & 0.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Firearm & 441 & 0.34\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Unarmed & 126,210 & 97.43\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Blunt Object & 104 & 0.08\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Handgun & 1,515 & 1.17\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Lethal Cutting Instrument & 1,088 & 0.84\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Total & 129,542 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Other Firearm & 5 & 0.12\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Lethal Cutting Instrument & 44 & 1.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Unarmed & 4,162 & 98.00\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Blunt Object & 4 & 0.09\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Firearm & 3 & 0.07\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Handgun & 27 & 0.64\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Rifle & 1 & 0.02\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Shotgun & 1 & 0.02\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Total & 4,247 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Firearm & 5 & 0.40\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Handgun & 4 & 0.32\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Blunt Object & 2 & 0.16\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Lethal Cutting Instrument & 12 & 0.97\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Unarmed & 1,219 & 98.07\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Other Firearm & 1 & 0.08\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Total & 1,243 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Rifle & 8 & 0.00\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Shotgun & 78 & 0.03\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Handgun & 745 & 0.24\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Unarmed & 304,798 & 98.69\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Firearm & 226 & 0.07\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Lethal Cutting Instrument & 2,697 & 0.87\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Blunt Object & 187 & 0.06\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Other Firearm & 117 & 0.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Total & 308,856 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Blunt Object & 9 & 0.05\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Rifle & 8 & 0.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Firearm & 22 & 0.11\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Unarmed & 19,062 & 98.50\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Other Firearm & 15 & 0.08\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Lethal Cutting Instrument & 120 & 0.62\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Handgun & 107 & 0.55\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Shotgun & 10 & 0.05\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Total & 19,353 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Lethal Cutting Instrument & 7 & 1.19\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Unarmed & 576 & 97.96\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Handgun & 3 & 0.51\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Blunt Object & 2 & 0.34\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Total & 588 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Shotgun & 7 & 0.03\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Handgun & 589 & 2.74\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Blunt Object & 32 & 0.15\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Lethal Cutting Instrument & 302 & 1.41\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Other Firearm & 29 & 0.14\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Rifle & 22 & 0.10\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Unarmed & 20,332 & 94.73\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Firearm & 151 & 0.70\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Total & 21,464 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Blunt Object & 6 & 0.18\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Other Firearm & 6 & 0.18\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Handgun & 46 & 1.34\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Lethal Cutting Instrument & 36 & 1.05\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Unarmed & 3,309 & 96.64\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Firearm & 20 & 0.58\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Rifle & 1 & 0.03\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Total & 3,424 & 100\textbackslash{}\%\\ +\hline +Liquor Law Violations & Other Firearm & 6 & 0.17\textbackslash{}\%\\ +\hline +Liquor Law Violations & Rifle & 6 & 0.17\textbackslash{}\%\\ +\hline +Liquor Law Violations & Unarmed & 3,336 & 94.61\textbackslash{}\%\\ +\hline +Liquor Law Violations & Lethal Cutting Instrument & 23 & 0.65\textbackslash{}\%\\ +\hline +Liquor Law Violations & Shotgun & 2 & 0.06\textbackslash{}\%\\ +\hline +Liquor Law Violations & Firearm & 19 & 0.54\textbackslash{}\%\\ +\hline +Liquor Law Violations & Handgun & 124 & 3.52\textbackslash{}\%\\ +\hline +Liquor Law Violations & Blunt Object & 10 & 0.28\textbackslash{}\%\\ +\hline +Liquor Law Violations & Total & 3,526 & 100\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Other Firearm & 79 & 0.15\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Blunt Object & 78 & 0.14\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Lethal Cutting Instrument & 656 & 1.22\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Rifle & 52 & 0.10\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Unarmed & 51,599 & 95.61\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Shotgun & 33 & 0.06\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Firearm & 282 & 0.52\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Handgun & 1,191 & 2.21\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Total & 53,970 & 100\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Rifle & 80 & 1.10\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Unarmed & 5,024 & 69.18\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Lethal Cutting Instrument & 430 & 5.92\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Shotgun & 43 & 0.59\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Firearm & 368 & 5.07\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Blunt Object & 36 & 0.50\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Other Firearm & 36 & 0.50\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Handgun & 1,245 & 17.14\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Total & 7,262 & 100\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Unarmed & 850 & 89.19\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Handgun & 64 & 6.72\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Rifle & 4 & 0.42\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Blunt Object & 2 & 0.21\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Firearm & 19 & 1.99\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Lethal Cutting Instrument & 12 & 1.26\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Other Firearm & 1 & 0.10\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Shotgun & 1 & 0.10\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Total & 953 & 100\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Unarmed & 5,719 & 99.31\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Firearm & 5 & 0.09\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Handgun & 21 & 0.36\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Lethal Cutting Instrument & 11 & 0.19\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Blunt Object & 1 & 0.02\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Other Firearm & 1 & 0.02\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Rifle & 1 & 0.02\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Total & 5,759 & 100\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Lethal Cutting Instrument & 5 & 0.27\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Other Firearm & 20 & 1.08\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Blunt Object & 2 & 0.11\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Firearm & 2 & 0.11\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Handgun & 16 & 0.87\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Unarmed & 1,802 & 97.56\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Total & 1,847 & 100\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Firearm & 97 & 1.33\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Unarmed & 7,127 & 97.95\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Other Firearm & 4 & 0.05\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Blunt Object & 3 & 0.04\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Handgun & 29 & 0.40\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Lethal Cutting Instrument & 15 & 0.21\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Rifle & 1 & 0.01\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Total & 7,276 & 100\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Firearm & 5 & 0.31\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Handgun & 16 & 1.00\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Unarmed & 1,578 & 98.56\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Blunt Object & 1 & 0.06\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Lethal Cutting Instrument & 1 & 0.06\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Total & 1,601 & 100\textbackslash{}\%\\ +\hline +Robbery & Firearm & 973 & 2.23\textbackslash{}\%\\ +\hline +Robbery & Blunt Object & 683 & 1.56\textbackslash{}\%\\ +\hline +Robbery & Shotgun & 57 & 0.13\textbackslash{}\%\\ +\hline +Robbery & Other Firearm & 567 & 1.30\textbackslash{}\%\\ +\hline +Robbery & Unarmed & 34,050 & 77.92\textbackslash{}\%\\ +\hline +Robbery & Handgun & 3,941 & 9.02\textbackslash{}\%\\ +\hline +Robbery & Lethal Cutting Instrument & 3,314 & 7.58\textbackslash{}\%\\ +\hline +Robbery & Rifle & 116 & 0.27\textbackslash{}\%\\ +\hline +Robbery & Total & 43,701 & 100\textbackslash{}\%\\ +\hline +Runaway & Unarmed & 38 & 100.00\textbackslash{}\%\\ +\hline +Runaway & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Total & 38 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Unarmed & 21 & 100.00\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Total & 21 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Lethal Cutting Instrument & 42 & 0.36\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Blunt Object & 4 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Shotgun & 4 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Handgun & 18 & 0.15\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Firearm & 14 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Other Firearm & 13 & 0.11\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Unarmed & 11,570 & 99.19\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Total & 11,665 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Unarmed & 215 & 97.29\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Blunt Object & 2 & 0.90\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Lethal Cutting Instrument & 2 & 0.90\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Handgun & 1 & 0.45\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Other Firearm & 1 & 0.45\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Total & 221 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Lethal Cutting Instrument & 95 & 1.03\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Handgun & 80 & 0.87\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Unarmed & 8,953 & 97.43\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Rifle & 4 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Other Firearm & 23 & 0.25\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Firearm & 22 & 0.24\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Shotgun & 2 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Blunt Object & 10 & 0.11\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Total & 9,189 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Unarmed & 837 & 98.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Lethal Cutting Instrument & 6 & 0.70\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Handgun & 5 & 0.59\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Blunt Object & 4 & 0.47\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Firearm & 1 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Shotgun & 1 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Total & 854 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Firearm & 7 & 0.30\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Blunt Object & 3 & 0.13\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Rifle & 3 & 0.13\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Unarmed & 2,275 & 98.23\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Other Firearm & 2 & 0.09\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Shotgun & 2 & 0.09\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Lethal Cutting Instrument & 14 & 0.60\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Handgun & 10 & 0.43\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Total & 2,316 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Handgun & 7 & 0.46\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Lethal Cutting Instrument & 5 & 0.33\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Unarmed & 1,518 & 99.15\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Shotgun & 1 & 0.07\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Total & 1,531 & 100\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Shotgun & 82 & 0.14\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Lethal Cutting Instrument & 718 & 1.25\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Firearm & 646 & 1.12\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Unarmed & 50,817 & 88.30\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Handgun & 4,749 & 8.25\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Other Firearm & 261 & 0.45\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Rifle & 163 & 0.28\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Blunt Object & 114 & 0.20\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Total & 57,550 & 100\textbackslash{}\%\\ +\hline +Trespass of Real Property & Handgun & 89 & 0.78\textbackslash{}\%\\ +\hline +Trespass of Real Property & Rifle & 5 & 0.04\textbackslash{}\%\\ +\hline +Trespass of Real Property & Firearm & 32 & 0.28\textbackslash{}\%\\ +\hline +Trespass of Real Property & Blunt Object & 23 & 0.20\textbackslash{}\%\\ +\hline +Trespass of Real Property & Lethal Cutting Instrument & 220 & 1.92\textbackslash{}\%\\ +\hline +Trespass of Real Property & Other Firearm & 19 & 0.17\textbackslash{}\%\\ +\hline +Trespass of Real Property & Unarmed & 11,075 & 96.61\textbackslash{}\%\\ +\hline +Trespass of Real Property & Shotgun & 1 & 0.01\textbackslash{}\%\\ +\hline +Trespass of Real Property & Total & 11,464 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Unarmed & 1 & 100.00\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Total & 1 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Lethal Cutting Instrument & 9,950 & 7.67\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Firearm & 8,734 & 6.73\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Handgun & 53,736 & 41.43\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Unarmed & 49,346 & 38.05\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Blunt Object & 2,873 & 2.22\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Rifle & 2,102 & 1.62\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Other Firearm & 1,775 & 1.37\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Shotgun & 1,188 & 0.92\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Total & 129,704 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -4033,10 +1429,14 @@ To see the weapons carried when the arrestee had a weapon, Figure \@ref(fig:arre This variable tells you if the weapon the arrestee was carrying was a gun whether that gun was fully automatic. To be clear, this means that when you pull the trigger once the gun will fire multiple bullets. Semi-automatic firearms are not automatic firearms. The Offense Segment also has a variable indicating if the offender used an automatic weapon but there they did not necessarily recover the gun so it is much less reliable than in this segment where the police have the gun and are able to test it.^[It is not clear whether they actually test it or simply go by the design of the gun, such as if the model allows for fully automatic firing.] The percent of guns that are fully automatic are fairly similar between the weapons seized at arrest, as shown in Figure \@ref(fig:arresteeAutomaticWeapon) and those used in the offense as shown in Figure \@ref(fig:offenseAutomaticWeapon) in Chapter \@ref(offenseSegment). Figure \@ref(fig:arresteeAutomaticWeapon) shows that about 5.6% of rifles seized by police during an arrest were fully automatic. About 4.9% of handguns are automatic while "firearm (type not stated) are automatic in 4.3% of cases. Shotguns and "other firearm" category are the least likely to be automatic at about 2.5% and 1.1% of weapons, respectively. -
-The percent of firearms the arrestee was carrying that were fully automatic, for the first weapon reported, 1991-2023. -

(\#fig:arresteeAutomaticWeapon)The percent of firearms the arrestee was carrying that were fully automatic, for the first weapon reported, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/arresteeAutomaticWeapon-1} + +} + +\caption{The percent of firearms the arrestee was carrying that were fully automatic, for the first weapon reported, 1991-2023.}(\#fig:arresteeAutomaticWeapon) +\end{figure} ## Type of arrest @@ -4047,1555 +1447,531 @@ The next type of arrest is a "warrant/previous incident report" and this makes u Finally, people can get a "summoned/cited" arrest which is not really an arrest at all. This is when they are given a subpoena that says that must go to court to be tried for a crime, but they are not formally arrested and taken into police custody (i.e. they are never handcuffed, taken to a police precinct or to jail). About 22.2% of arrests are this form of arrest. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:arresteeoffenseArrestType)The number and percent of arrestees by offense and type of arrest, 2023.
Offense Type of Arrest \# of arrestees \% of arrestees
All Other Offenses On-View Arrest 39,585 51.10\%
All Other Offenses Taken Into Custody 28,109 36.29\%
All Other Offenses Summoned/Cited 9,766 12.61\%
All Other Offenses Total 77,460 100\%
Animal Cruelty Summoned/Cited 1,928 47.69\%
Animal Cruelty Taken Into Custody 1,069 26.44\%
Animal Cruelty On-View Arrest 1,046 25.87\%
Animal Cruelty Total 4,043 100\%
Arson On-View Arrest 3,626 54.36\%
Arson Taken Into Custody 2,260 33.88\%
Arson Summoned/Cited 784 11.75\%
Arson Total 6,670 100\%
Assault Offenses - Aggravated Assault On-View Arrest 140,381 55.29\%
Assault Offenses - Aggravated Assault Taken Into Custody 100,162 39.45\%
Assault Offenses - Aggravated Assault Summoned/Cited 13,344 5.26\%
Assault Offenses - Aggravated Assault Total 253,887 100\%
Assault Offenses - Intimidation On-View Arrest 46,866 44.54\%
Assault Offenses - Intimidation Taken Into Custody 44,594 42.38\%
Assault Offenses - Intimidation Summoned/Cited 13,765 13.08\%
Assault Offenses - Intimidation Total 105,225 100\%
Assault Offenses - Simple Assault On-View Arrest 373,264 54.07\%
Assault Offenses - Simple Assault Taken Into Custody 218,588 31.67\%
Assault Offenses - Simple Assault Summoned/Cited 98,437 14.26\%
Assault Offenses - Simple Assault Total 690,289 100\%
Bond Default - Failure To Appear Taken Into Custody 38 61.29\%
Bond Default - Failure To Appear On-View Arrest 21 33.87\%
Bond Default - Failure To Appear Summoned/Cited 3 4.84\%
Bond Default - Failure To Appear Total 62 100\%
Bribery On-View Arrest 150 57.92\%
Bribery Taken Into Custody 88 33.98\%
Bribery Summoned/Cited 21 8.11\%
Bribery Total 259 100\%
Burglary/Breaking And Entering On-View Arrest 41,521 51.59\%
Burglary/Breaking And Entering Taken Into Custody 33,161 41.20\%
Burglary/Breaking And Entering Summoned/Cited 5,797 7.20\%
Burglary/Breaking And Entering Total 80,479 100\%
Commerce Violations - Federal Liquor Offenses Taken Into Custody 21 95.45\%
Commerce Violations - Federal Liquor Offenses Summoned/Cited 1 4.55\%
Commerce Violations - Federal Liquor Offenses Total 22 100\%
Commerce Violations - Wildlife Trafficking Summoned/Cited 1 100.00\%
Commerce Violations - Wildlife Trafficking Total 1 100\%
Counterfeiting/Forgery Taken Into Custody 13,232 49.85\%
Counterfeiting/Forgery On-View Arrest 9,711 36.59\%
Counterfeiting/Forgery Summoned/Cited 3,600 13.56\%
Counterfeiting/Forgery Total 26,543 100\%
Curfew/Loitering/Vagrancy Violations On-View Arrest 704 58.67\%
Curfew/Loitering/Vagrancy Violations Summoned/Cited 366 30.50\%
Curfew/Loitering/Vagrancy Violations Taken Into Custody 130 10.83\%
Curfew/Loitering/Vagrancy Violations Total 1,200 100\%
Destruction/Damage/Vandalism of Property On-View Arrest 52,107 41.52\%
Destruction/Damage/Vandalism of Property Taken Into Custody 43,341 34.54\%
Destruction/Damage/Vandalism of Property Summoned/Cited 30,037 23.94\%
Destruction/Damage/Vandalism of Property Total 125,485 100\%
Disorderly Conduct On-View Arrest 6,696 50.40\%
Disorderly Conduct Summoned/Cited 3,747 28.20\%
Disorderly Conduct Taken Into Custody 2,842 21.39\%
Disorderly Conduct Total 13,285 100\%
Driving Under The Influence On-View Arrest 12,171 72.79\%
Driving Under The Influence Taken Into Custody 2,863 17.12\%
Driving Under The Influence Summoned/Cited 1,687 10.09\%
Driving Under The Influence Total 16,721 100\%
Drug/Narcotic Offenses - Drug Equipment Violations On-View Arrest 65,747 45.06\%
Drug/Narcotic Offenses - Drug Equipment Violations Summoned/Cited 56,655 38.83\%
Drug/Narcotic Offenses - Drug Equipment Violations Taken Into Custody 23,494 16.10\%
Drug/Narcotic Offenses - Drug Equipment Violations Total 145,896 100\%
Drug/Narcotic Offenses - Drug/Narcotic Violations On-View Arrest 363,310 57.36\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Taken Into Custody 144,704 22.85\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Summoned/Cited 125,372 19.79\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Total 633,386 100\%
Embezzlement Taken Into Custody 2,513 36.99\%
Embezzlement On-View Arrest 2,477 36.46\%
Embezzlement Summoned/Cited 1,803 26.54\%
Embezzlement Total 6,793 100\%
Extortion/Blackmail Taken Into Custody 254 58.66\%
Extortion/Blackmail On-View Arrest 125 28.87\%
Extortion/Blackmail Summoned/Cited 54 12.47\%
Extortion/Blackmail Total 433 100\%
Family Offenses, Nonviolent Taken Into Custody 1,576 39.17\%
Family Offenses, Nonviolent On-View Arrest 1,550 38.52\%
Family Offenses, Nonviolent Summoned/Cited 898 22.32\%
Family Offenses, Nonviolent Total 4,024 100\%
Fraud Offenses - Credit Card/Atm Fraud Taken Into Custody 3,183 44.95\%
Fraud Offenses - Credit Card/Atm Fraud On-View Arrest 2,424 34.23\%
Fraud Offenses - Credit Card/Atm Fraud Summoned/Cited 1,474 20.82\%
Fraud Offenses - Credit Card/Atm Fraud Total 7,081 100\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game On-View Arrest 11,857 36.85\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Summoned/Cited 10,391 32.29\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Taken Into Custody 9,932 30.86\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Total 32,180 100\%
Fraud Offenses - Hacking/Computer Invasion Taken Into Custody 72 44.72\%
Fraud Offenses - Hacking/Computer Invasion On-View Arrest 54 33.54\%
Fraud Offenses - Hacking/Computer Invasion Summoned/Cited 35 21.74\%
Fraud Offenses - Hacking/Computer Invasion Total 161 100\%
Fraud Offenses - Identity Theft On-View Arrest 3,985 56.29\%
Fraud Offenses - Identity Theft Taken Into Custody 2,287 32.31\%
Fraud Offenses - Identity Theft Summoned/Cited 807 11.40\%
Fraud Offenses - Identity Theft Total 7,079 100\%
Fraud Offenses - Impersonation On-View Arrest 6,542 59.35\%
Fraud Offenses - Impersonation Taken Into Custody 3,074 27.89\%
Fraud Offenses - Impersonation Summoned/Cited 1,406 12.76\%
Fraud Offenses - Impersonation Total 11,022 100\%
Fraud Offenses - Welfare Fraud Taken Into Custody 54 45.38\%
Fraud Offenses - Welfare Fraud Summoned/Cited 39 32.77\%
Fraud Offenses - Welfare Fraud On-View Arrest 26 21.85\%
Fraud Offenses - Welfare Fraud Total 119 100\%
Fraud Offenses - Wire Fraud Taken Into Custody 168 48.70\%
Fraud Offenses - Wire Fraud On-View Arrest 103 29.86\%
Fraud Offenses - Wire Fraud Summoned/Cited 74 21.45\%
Fraud Offenses - Wire Fraud Total 345 100\%
Fugitive Offenses - Flight To Avoid Prosecution Taken Into Custody 46 90.20\%
Fugitive Offenses - Flight To Avoid Prosecution Summoned/Cited 4 7.84\%
Fugitive Offenses - Flight To Avoid Prosecution On-View Arrest 1 1.96\%
Fugitive Offenses - Flight To Avoid Prosecution Total 51 100\%
Gambling Offenses - Betting/Wagering Summoned/Cited 124 40.92\%
Gambling Offenses - Betting/Wagering Taken Into Custody 107 35.31\%
Gambling Offenses - Betting/Wagering On-View Arrest 72 23.76\%
Gambling Offenses - Betting/Wagering Total 303 100\%
Gambling Offenses - Gambling Equipment Violations Taken Into Custody 156 76.85\%
Gambling Offenses - Gambling Equipment Violations Summoned/Cited 26 12.81\%
Gambling Offenses - Gambling Equipment Violations On-View Arrest 21 10.34\%
Gambling Offenses - Gambling Equipment Violations Total 203 100\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Taken Into Custody 252 52.17\%
Gambling Offenses - Operating/Promoting/Assisting Gambling On-View Arrest 132 27.33\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Summoned/Cited 99 20.50\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Total 483 100\%
Human Trafficking - Commercial Sex Acts On-View Arrest 219 51.65\%
Human Trafficking - Commercial Sex Acts Taken Into Custody 187 44.10\%
Human Trafficking - Commercial Sex Acts Summoned/Cited 18 4.25\%
Human Trafficking - Commercial Sex Acts Total 424 100\%
Human Trafficking - Involuntary Servitude On-View Arrest 34 55.74\%
Human Trafficking - Involuntary Servitude Taken Into Custody 24 39.34\%
Human Trafficking - Involuntary Servitude Summoned/Cited 3 4.92\%
Human Trafficking - Involuntary Servitude Total 61 100\%
Kidnapping/Abduction On-View Arrest 7,688 54.38\%
Kidnapping/Abduction Taken Into Custody 5,754 40.70\%
Kidnapping/Abduction Summoned/Cited 695 4.92\%
Kidnapping/Abduction Total 14,137 100\%
Larceny/Theft Offenses - All Other Larceny On-View Arrest 46,041 35.34\%
Larceny/Theft Offenses - All Other Larceny Taken Into Custody 45,941 35.26\%
Larceny/Theft Offenses - All Other Larceny Summoned/Cited 38,293 29.39\%
Larceny/Theft Offenses - All Other Larceny Total 130,275 100\%
Larceny/Theft Offenses - Pocket-Picking Taken Into Custody 1,623 38.09\%
Larceny/Theft Offenses - Pocket-Picking Summoned/Cited 1,500 35.20\%
Larceny/Theft Offenses - Pocket-Picking On-View Arrest 1,138 26.71\%
Larceny/Theft Offenses - Pocket-Picking Total 4,261 100\%
Larceny/Theft Offenses - Purse-Snatching Taken Into Custody 546 43.82\%
Larceny/Theft Offenses - Purse-Snatching On-View Arrest 458 36.76\%
Larceny/Theft Offenses - Purse-Snatching Summoned/Cited 242 19.42\%
Larceny/Theft Offenses - Purse-Snatching Total 1,246 100\%
Larceny/Theft Offenses - Shoplifting Summoned/Cited 121,007 38.84\%
Larceny/Theft Offenses - Shoplifting On-View Arrest 109,556 35.16\%
Larceny/Theft Offenses - Shoplifting Taken Into Custody 81,021 26.00\%
Larceny/Theft Offenses - Shoplifting Total 311,584 100\%
Larceny/Theft Offenses - Theft From Building Taken Into Custody 7,361 37.87\%
Larceny/Theft Offenses - Theft From Building On-View Arrest 6,045 31.10\%
Larceny/Theft Offenses - Theft From Building Summoned/Cited 6,034 31.04\%
Larceny/Theft Offenses - Theft From Building Total 19,440 100\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Taken Into Custody 321 53.95\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device On-View Arrest 177 29.75\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Summoned/Cited 97 16.30\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Total 595 100\%
Larceny/Theft Offenses - Theft From Motor Vehicle On-View Arrest 10,745 49.86\%
Larceny/Theft Offenses - Theft From Motor Vehicle Taken Into Custody 8,169 37.91\%
Larceny/Theft Offenses - Theft From Motor Vehicle Summoned/Cited 2,635 12.23\%
Larceny/Theft Offenses - Theft From Motor Vehicle Total 21,549 100\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Taken Into Custody 1,402 40.76\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories On-View Arrest 1,393 40.49\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Summoned/Cited 645 18.75\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Total 3,440 100\%
Liquor Law Violations Summoned/Cited 1,888 52.89\%
Liquor Law Violations On-View Arrest 1,241 34.76\%
Liquor Law Violations Taken Into Custody 441 12.35\%
Liquor Law Violations Total 3,570 100\%
Motor Vehicle Theft On-View Arrest 30,058 55.46\%
Motor Vehicle Theft Taken Into Custody 19,856 36.64\%
Motor Vehicle Theft Summoned/Cited 4,280 7.90\%
Motor Vehicle Theft Total 54,194 100\%
Murder/Nonnegligent Manslaughter Taken Into Custody 4,057 56.16\%
Murder/Nonnegligent Manslaughter On-View Arrest 3,002 41.56\%
Murder/Nonnegligent Manslaughter Summoned/Cited 165 2.28\%
Murder/Nonnegligent Manslaughter Total 7,224 100\%
Negligent Manslaughter Taken Into Custody 495 52.00\%
Negligent Manslaughter On-View Arrest 382 40.13\%
Negligent Manslaughter Summoned/Cited 75 7.88\%
Negligent Manslaughter Total 952 100\%
Pornography/Obscene Material Taken Into Custody 2,477 42.85\%
Pornography/Obscene Material On-View Arrest 2,068 35.77\%
Pornography/Obscene Material Summoned/Cited 1,236 21.38\%
Pornography/Obscene Material Total 5,781 100\%
Prostitution Offenses - Assisting Or Promoting Prostitution On-View Arrest 890 47.77\%
Prostitution Offenses - Assisting Or Promoting Prostitution Taken Into Custody 672 36.07\%
Prostitution Offenses - Assisting Or Promoting Prostitution Summoned/Cited 301 16.16\%
Prostitution Offenses - Assisting Or Promoting Prostitution Total 1,863 100\%
Prostitution Offenses - Prostitution On-View Arrest 4,077 55.56\%
Prostitution Offenses - Prostitution Taken Into Custody 2,023 27.57\%
Prostitution Offenses - Prostitution Summoned/Cited 1,238 16.87\%
Prostitution Offenses - Prostitution Total 7,338 100\%
Prostitution Offenses - Purchasing Prostitution On-View Arrest 850 52.73\%
Prostitution Offenses - Purchasing Prostitution Summoned/Cited 528 32.75\%
Prostitution Offenses - Purchasing Prostitution Taken Into Custody 234 14.52\%
Prostitution Offenses - Purchasing Prostitution Total 1,612 100\%
Robbery Taken Into Custody 21,742 50.41\%
Robbery On-View Arrest 19,732 45.75\%
Robbery Summoned/Cited 1,656 3.84\%
Robbery Total 43,130 100\%
Runaway Summoned/Cited 21 55.26\%
Runaway On-View Arrest 13 34.21\%
Runaway Taken Into Custody 4 10.53\%
Runaway Total 38 100\%
Sex Offenses - Failure To Register As A Sex Offender Summoned/Cited 10 47.62\%
Sex Offenses - Failure To Register As A Sex Offender Taken Into Custody 8 38.10\%
Sex Offenses - Failure To Register As A Sex Offender On-View Arrest 3 14.29\%
Sex Offenses - Failure To Register As A Sex Offender Total 21 100\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Taken Into Custody 5,634 48.25\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) On-View Arrest 4,083 34.97\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Summoned/Cited 1,959 16.78\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Total 11,676 100\%
Sex Offenses - Incest Taken Into Custody 112 50.22\%
Sex Offenses - Incest On-View Arrest 74 33.18\%
Sex Offenses - Incest Summoned/Cited 37 16.59\%
Sex Offenses - Incest Total 223 100\%
Sex Offenses - Rape Taken Into Custody 4,737 51.46\%
Sex Offenses - Rape On-View Arrest 3,535 38.40\%
Sex Offenses - Rape Summoned/Cited 933 10.14\%
Sex Offenses - Rape Total 9,205 100\%
Sex Offenses - Sexual Assault With An Object Taken Into Custody 433 50.64\%
Sex Offenses - Sexual Assault With An Object On-View Arrest 340 39.77\%
Sex Offenses - Sexual Assault With An Object Summoned/Cited 82 9.59\%
Sex Offenses - Sexual Assault With An Object Total 855 100\%
Sex Offenses - Sodomy Taken Into Custody 1,299 55.99\%
Sex Offenses - Sodomy On-View Arrest 763 32.89\%
Sex Offenses - Sodomy Summoned/Cited 258 11.12\%
Sex Offenses - Sodomy Total 2,320 100\%
Sex Offenses - Statutory Rape Taken Into Custody 723 47.13\%
Sex Offenses - Statutory Rape On-View Arrest 571 37.22\%
Sex Offenses - Statutory Rape Summoned/Cited 240 15.65\%
Sex Offenses - Statutory Rape Total 1,534 100\%
Stolen Property Offenses (Receiving, Selling, Etc.) On-View Arrest 34,906 60.51\%
Stolen Property Offenses (Receiving, Selling, Etc.) Taken Into Custody 17,127 29.69\%
Stolen Property Offenses (Receiving, Selling, Etc.) Summoned/Cited 5,650 9.79\%
Stolen Property Offenses (Receiving, Selling, Etc.) Total 57,683 100\%
Trespass of Real Property On-View Arrest 5,968 51.60\%
Trespass of Real Property Summoned/Cited 2,944 25.45\%
Trespass of Real Property Taken Into Custody 2,655 22.95\%
Trespass of Real Property Total 11,567 100\%
Weapon Law Violations - Explosives Taken Into Custody 1 100.00\%
Weapon Law Violations - Explosives Total 1 100\%
Weapon Law Violations - Weapon Law Violations On-View Arrest 78,141 60.65\%
Weapon Law Violations - Weapon Law Violations Taken Into Custody 36,091 28.01\%
Weapon Law Violations - Weapon Law Violations Summoned/Cited 14,612 11.34\%
Weapon Law Violations - Weapon Law Violations Total 128,844 100\%
Commerce Violations - Federal Liquor Offenses On-View Arrest 0 0\%
Commerce Violations - Wildlife Trafficking On-View Arrest 0 0\%
Weapon Law Violations - Explosives On-View Arrest 0 0\%
Weapon Law Violations - Explosives Summoned/Cited 0 0\%
Commerce Violations - Wildlife Trafficking Taken Into Custody 0 0\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:arresteeoffenseArrestType)The number and percent of arrestees by offense and type of arrest, 2023.}\\ +\hline +Offense & Type of Arrest & \textbackslash{}\# of arrestees & \textbackslash{}\% of arrestees\\ +\hline +\endfirsthead +\caption[]{(\#tab:arresteeoffenseArrestType)The number and percent of arrestees by offense and type of arrest, 2023. \textit{(continued)}}\\ +\hline +Offense & Type of Arrest & \textbackslash{}\# of arrestees & \textbackslash{}\% of arrestees\\ +\hline +\endhead +All Other Offenses & On-View Arrest & 39,585 & 51.10\textbackslash{}\%\\ +\hline +All Other Offenses & Taken Into Custody & 28,109 & 36.29\textbackslash{}\%\\ +\hline +All Other Offenses & Summoned/Cited & 9,766 & 12.61\textbackslash{}\%\\ +\hline +All Other Offenses & Total & 77,460 & 100\textbackslash{}\%\\ +\hline +Animal Cruelty & Summoned/Cited & 1,928 & 47.69\textbackslash{}\%\\ +\hline +Animal Cruelty & Taken Into Custody & 1,069 & 26.44\textbackslash{}\%\\ +\hline +Animal Cruelty & On-View Arrest & 1,046 & 25.87\textbackslash{}\%\\ +\hline +Animal Cruelty & Total & 4,043 & 100\textbackslash{}\%\\ +\hline +Arson & On-View Arrest & 3,626 & 54.36\textbackslash{}\%\\ +\hline +Arson & Taken Into Custody & 2,260 & 33.88\textbackslash{}\%\\ +\hline +Arson & Summoned/Cited & 784 & 11.75\textbackslash{}\%\\ +\hline +Arson & Total & 6,670 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & On-View Arrest & 140,381 & 55.29\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Taken Into Custody & 100,162 & 39.45\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Summoned/Cited & 13,344 & 5.26\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Total & 253,887 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & On-View Arrest & 46,866 & 44.54\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Taken Into Custody & 44,594 & 42.38\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Summoned/Cited & 13,765 & 13.08\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Total & 105,225 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & On-View Arrest & 373,264 & 54.07\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Taken Into Custody & 218,588 & 31.67\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Summoned/Cited & 98,437 & 14.26\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Total & 690,289 & 100\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Taken Into Custody & 38 & 61.29\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & On-View Arrest & 21 & 33.87\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Summoned/Cited & 3 & 4.84\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Total & 62 & 100\textbackslash{}\%\\ +\hline +Bribery & On-View Arrest & 150 & 57.92\textbackslash{}\%\\ +\hline +Bribery & Taken Into Custody & 88 & 33.98\textbackslash{}\%\\ +\hline +Bribery & Summoned/Cited & 21 & 8.11\textbackslash{}\%\\ +\hline +Bribery & Total & 259 & 100\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & On-View Arrest & 41,521 & 51.59\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Taken Into Custody & 33,161 & 41.20\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Summoned/Cited & 5,797 & 7.20\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Total & 80,479 & 100\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Taken Into Custody & 21 & 95.45\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Summoned/Cited & 1 & 4.55\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Total & 22 & 100\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Summoned/Cited & 1 & 100.00\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Total & 1 & 100\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Taken Into Custody & 13,232 & 49.85\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & On-View Arrest & 9,711 & 36.59\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Summoned/Cited & 3,600 & 13.56\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Total & 26,543 & 100\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & On-View Arrest & 704 & 58.67\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Summoned/Cited & 366 & 30.50\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Taken Into Custody & 130 & 10.83\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Total & 1,200 & 100\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & On-View Arrest & 52,107 & 41.52\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Taken Into Custody & 43,341 & 34.54\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Summoned/Cited & 30,037 & 23.94\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Total & 125,485 & 100\textbackslash{}\%\\ +\hline +Disorderly Conduct & On-View Arrest & 6,696 & 50.40\textbackslash{}\%\\ +\hline +Disorderly Conduct & Summoned/Cited & 3,747 & 28.20\textbackslash{}\%\\ +\hline +Disorderly Conduct & Taken Into Custody & 2,842 & 21.39\textbackslash{}\%\\ +\hline +Disorderly Conduct & Total & 13,285 & 100\textbackslash{}\%\\ +\hline +Driving Under The Influence & On-View Arrest & 12,171 & 72.79\textbackslash{}\%\\ +\hline +Driving Under The Influence & Taken Into Custody & 2,863 & 17.12\textbackslash{}\%\\ +\hline +Driving Under The Influence & Summoned/Cited & 1,687 & 10.09\textbackslash{}\%\\ +\hline +Driving Under The Influence & Total & 16,721 & 100\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & On-View Arrest & 65,747 & 45.06\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Summoned/Cited & 56,655 & 38.83\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Taken Into Custody & 23,494 & 16.10\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Total & 145,896 & 100\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & On-View Arrest & 363,310 & 57.36\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Taken Into Custody & 144,704 & 22.85\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Summoned/Cited & 125,372 & 19.79\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Total & 633,386 & 100\textbackslash{}\%\\ +\hline +Embezzlement & Taken Into Custody & 2,513 & 36.99\textbackslash{}\%\\ +\hline +Embezzlement & On-View Arrest & 2,477 & 36.46\textbackslash{}\%\\ +\hline +Embezzlement & Summoned/Cited & 1,803 & 26.54\textbackslash{}\%\\ +\hline +Embezzlement & Total & 6,793 & 100\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Taken Into Custody & 254 & 58.66\textbackslash{}\%\\ +\hline +Extortion/Blackmail & On-View Arrest & 125 & 28.87\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Summoned/Cited & 54 & 12.47\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Total & 433 & 100\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Taken Into Custody & 1,576 & 39.17\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & On-View Arrest & 1,550 & 38.52\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Summoned/Cited & 898 & 22.32\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Total & 4,024 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Taken Into Custody & 3,183 & 44.95\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & On-View Arrest & 2,424 & 34.23\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Summoned/Cited & 1,474 & 20.82\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Total & 7,081 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & On-View Arrest & 11,857 & 36.85\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Summoned/Cited & 10,391 & 32.29\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Taken Into Custody & 9,932 & 30.86\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Total & 32,180 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Taken Into Custody & 72 & 44.72\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & On-View Arrest & 54 & 33.54\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Summoned/Cited & 35 & 21.74\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Total & 161 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & On-View Arrest & 3,985 & 56.29\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Taken Into Custody & 2,287 & 32.31\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Summoned/Cited & 807 & 11.40\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Total & 7,079 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & On-View Arrest & 6,542 & 59.35\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Taken Into Custody & 3,074 & 27.89\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Summoned/Cited & 1,406 & 12.76\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Total & 11,022 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Taken Into Custody & 54 & 45.38\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Summoned/Cited & 39 & 32.77\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & On-View Arrest & 26 & 21.85\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Total & 119 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Taken Into Custody & 168 & 48.70\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & On-View Arrest & 103 & 29.86\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Summoned/Cited & 74 & 21.45\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Total & 345 & 100\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Taken Into Custody & 46 & 90.20\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Summoned/Cited & 4 & 7.84\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & On-View Arrest & 1 & 1.96\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Total & 51 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Summoned/Cited & 124 & 40.92\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Taken Into Custody & 107 & 35.31\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & On-View Arrest & 72 & 23.76\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Total & 303 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Taken Into Custody & 156 & 76.85\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Summoned/Cited & 26 & 12.81\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & On-View Arrest & 21 & 10.34\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Total & 203 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Taken Into Custody & 252 & 52.17\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & On-View Arrest & 132 & 27.33\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Summoned/Cited & 99 & 20.50\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Total & 483 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & On-View Arrest & 219 & 51.65\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Taken Into Custody & 187 & 44.10\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Summoned/Cited & 18 & 4.25\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Total & 424 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & On-View Arrest & 34 & 55.74\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Taken Into Custody & 24 & 39.34\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Summoned/Cited & 3 & 4.92\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Total & 61 & 100\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & On-View Arrest & 7,688 & 54.38\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Taken Into Custody & 5,754 & 40.70\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Summoned/Cited & 695 & 4.92\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Total & 14,137 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & On-View Arrest & 46,041 & 35.34\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Taken Into Custody & 45,941 & 35.26\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Summoned/Cited & 38,293 & 29.39\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Total & 130,275 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Taken Into Custody & 1,623 & 38.09\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Summoned/Cited & 1,500 & 35.20\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & On-View Arrest & 1,138 & 26.71\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Total & 4,261 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Taken Into Custody & 546 & 43.82\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & On-View Arrest & 458 & 36.76\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Summoned/Cited & 242 & 19.42\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Total & 1,246 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Summoned/Cited & 121,007 & 38.84\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & On-View Arrest & 109,556 & 35.16\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Taken Into Custody & 81,021 & 26.00\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Total & 311,584 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Taken Into Custody & 7,361 & 37.87\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & On-View Arrest & 6,045 & 31.10\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Summoned/Cited & 6,034 & 31.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Total & 19,440 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Taken Into Custody & 321 & 53.95\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & On-View Arrest & 177 & 29.75\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Summoned/Cited & 97 & 16.30\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Total & 595 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & On-View Arrest & 10,745 & 49.86\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Taken Into Custody & 8,169 & 37.91\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Summoned/Cited & 2,635 & 12.23\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Total & 21,549 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Taken Into Custody & 1,402 & 40.76\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & On-View Arrest & 1,393 & 40.49\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Summoned/Cited & 645 & 18.75\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Total & 3,440 & 100\textbackslash{}\%\\ +\hline +Liquor Law Violations & Summoned/Cited & 1,888 & 52.89\textbackslash{}\%\\ +\hline +Liquor Law Violations & On-View Arrest & 1,241 & 34.76\textbackslash{}\%\\ +\hline +Liquor Law Violations & Taken Into Custody & 441 & 12.35\textbackslash{}\%\\ +\hline +Liquor Law Violations & Total & 3,570 & 100\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & On-View Arrest & 30,058 & 55.46\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Taken Into Custody & 19,856 & 36.64\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Summoned/Cited & 4,280 & 7.90\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Total & 54,194 & 100\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Taken Into Custody & 4,057 & 56.16\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & On-View Arrest & 3,002 & 41.56\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Summoned/Cited & 165 & 2.28\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Total & 7,224 & 100\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Taken Into Custody & 495 & 52.00\textbackslash{}\%\\ +\hline +Negligent Manslaughter & On-View Arrest & 382 & 40.13\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Summoned/Cited & 75 & 7.88\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Total & 952 & 100\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Taken Into Custody & 2,477 & 42.85\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & On-View Arrest & 2,068 & 35.77\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Summoned/Cited & 1,236 & 21.38\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Total & 5,781 & 100\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & On-View Arrest & 890 & 47.77\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Taken Into Custody & 672 & 36.07\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Summoned/Cited & 301 & 16.16\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Total & 1,863 & 100\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & On-View Arrest & 4,077 & 55.56\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Taken Into Custody & 2,023 & 27.57\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Summoned/Cited & 1,238 & 16.87\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Total & 7,338 & 100\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & On-View Arrest & 850 & 52.73\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Summoned/Cited & 528 & 32.75\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Taken Into Custody & 234 & 14.52\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Total & 1,612 & 100\textbackslash{}\%\\ +\hline +Robbery & Taken Into Custody & 21,742 & 50.41\textbackslash{}\%\\ +\hline +Robbery & On-View Arrest & 19,732 & 45.75\textbackslash{}\%\\ +\hline +Robbery & Summoned/Cited & 1,656 & 3.84\textbackslash{}\%\\ +\hline +Robbery & Total & 43,130 & 100\textbackslash{}\%\\ +\hline +Runaway & Summoned/Cited & 21 & 55.26\textbackslash{}\%\\ +\hline +Runaway & On-View Arrest & 13 & 34.21\textbackslash{}\%\\ +\hline +Runaway & Taken Into Custody & 4 & 10.53\textbackslash{}\%\\ +\hline +Runaway & Total & 38 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Summoned/Cited & 10 & 47.62\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Taken Into Custody & 8 & 38.10\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & On-View Arrest & 3 & 14.29\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Total & 21 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Taken Into Custody & 5,634 & 48.25\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & On-View Arrest & 4,083 & 34.97\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Summoned/Cited & 1,959 & 16.78\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Total & 11,676 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Taken Into Custody & 112 & 50.22\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & On-View Arrest & 74 & 33.18\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Summoned/Cited & 37 & 16.59\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Total & 223 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Taken Into Custody & 4,737 & 51.46\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & On-View Arrest & 3,535 & 38.40\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Summoned/Cited & 933 & 10.14\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Total & 9,205 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Taken Into Custody & 433 & 50.64\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & On-View Arrest & 340 & 39.77\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Summoned/Cited & 82 & 9.59\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Total & 855 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Taken Into Custody & 1,299 & 55.99\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & On-View Arrest & 763 & 32.89\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Summoned/Cited & 258 & 11.12\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Total & 2,320 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Taken Into Custody & 723 & 47.13\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & On-View Arrest & 571 & 37.22\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Summoned/Cited & 240 & 15.65\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Total & 1,534 & 100\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & On-View Arrest & 34,906 & 60.51\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Taken Into Custody & 17,127 & 29.69\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Summoned/Cited & 5,650 & 9.79\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Total & 57,683 & 100\textbackslash{}\%\\ +\hline +Trespass of Real Property & On-View Arrest & 5,968 & 51.60\textbackslash{}\%\\ +\hline +Trespass of Real Property & Summoned/Cited & 2,944 & 25.45\textbackslash{}\%\\ +\hline +Trespass of Real Property & Taken Into Custody & 2,655 & 22.95\textbackslash{}\%\\ +\hline +Trespass of Real Property & Total & 11,567 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Taken Into Custody & 1 & 100.00\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Total & 1 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & On-View Arrest & 78,141 & 60.65\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Taken Into Custody & 36,091 & 28.01\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Summoned/Cited & 14,612 & 11.34\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Total & 128,844 & 100\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & On-View Arrest & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & On-View Arrest & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & On-View Arrest & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Summoned/Cited & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Taken Into Custody & 0 & 0\textbackslash{}\%\\ +\hline +\end{longtable} @@ -5603,10 +1979,14 @@ Finally, people can get a "summoned/cited" arrest which is not really an arrest For juvenile arrestees - those under age 18 *at the time of the arrest* (and, by definition they would also be under age 18 during the incident) - there is some information about the outcome of the arrest.^[There are a few people older than 18 with this variable but it is so rare that I think that they are just incorrectly inputted ages.] There are two possible outcomes (which NIBRS calls "dispositions"): being referred to other (that is, other than the arresting agency) authorities or handled within the arresting agency. Figure \@ref(fig:arresteeJuvenileDisposition) shows this breakdown and being referred to other authorities is the most common outcome at 72.6% of juvenile arrests. This is a very broad category and the "other authorities" can range from juvenile or adult court (so the police recommend that they be prosecuted) to welfare agencies and being sent to other police agencies (such as if they committed a crime elsewhere and are being extradited). The other category, being handled within the department, means that the police release the juvenile without any formal action taken (but they may give the juvenile a warning). In these cases the juvenile is released to an adult (including but not limited to family members or guardians) and the case is essentially dropped. In about 0.001% of juvenile arrests the disposition is unknown.^[A juvenile can potentially get multiple dispositions, such as if they are initially released but later the police recommend them for prosecution. It is not clear which outcome is recorded in these cases. In UCR data, however, only the initial disposition is recorded so that is likely how it also is in NIBRS.] -
-For juvenile arrestees (under age 18), the distribution of case outcomes, 1991-2023. -

(\#fig:arresteeJuvenileDisposition)For juvenile arrestees (under age 18), the distribution of case outcomes, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/arresteeJuvenileDisposition-1} + +} + +\caption{For juvenile arrestees (under age 18), the distribution of case outcomes, 1991-2023.}(\#fig:arresteeJuvenileDisposition) +\end{figure} ## Demographics @@ -5622,10 +2002,14 @@ Figure \@ref(fig:arresteeResidenceStatus) shows the percent of arrestees in 2022 -
-Annual resident status (i.e. if they live in the arresting jurisdiction) of arrestees, 1991-2023. -

(\#fig:nibrsArresteeResidentStatus)Annual resident status (i.e. if they live in the arresting jurisdiction) of arrestees, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeResidentStatus-1} + +} + +\caption{Annual resident status (i.e. if they live in the arresting jurisdiction) of arrestees, 1991-2023.}(\#fig:nibrsArresteeResidentStatus) +\end{figure} ### Age @@ -5639,20 +2023,32 @@ Figure \@ref(fig:arresteeAge) shows the percent of arrestees at every age availa #> [1] 32 ``` -
-The age of all arrestees reported in the 2022 NIBRS data. -

(\#fig:arresteeAge)The age of all arrestees reported in the 2022 NIBRS data.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/arresteeAge-1} -
-The mean and median age of arrestees, 1991-2023. -

(\#fig:nibrsArresteeAge)The mean and median age of arrestees, 1991-2023.

-
+} -
-The percent of arrestee's age that is unknown, 1991-2023. -

(\#fig:nibrsArresteeAgeMissing)The percent of arrestee's age that is unknown, 1991-2023.

-
+\caption{The age of all arrestees reported in the 2022 NIBRS data.}(\#fig:arresteeAge) +\end{figure} + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeAge-1} + +} + +\caption{The mean and median age of arrestees, 1991-2023.}(\#fig:nibrsArresteeAge) +\end{figure} + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeAgeMissing-1} + +} + +\caption{The percent of arrestee's age that is unknown, 1991-2023.}(\#fig:nibrsArresteeAgeMissing) +\end{figure} ### Sex @@ -5661,10 +2057,14 @@ We also know the sex of the arrestee. The only options for this variable are mal -
-The share of arrestees by sex, 1991-2023. -

(\#fig:nibrsArresteeSex)The share of arrestees by sex, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeSex-1} + +} + +\caption{The share of arrestees by sex, 1991-2023.}(\#fig:nibrsArresteeSex) +\end{figure} ### Race @@ -5674,10 +2074,14 @@ Figure \@ref(fig:arresteeRace) shows the breakdown for the races of each arreste -
-The share of arrestees by race, 1991-2023. -

(\#fig:nibrsArresteeRace)The share of arrestees by race, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeRace-1} + +} + +\caption{The share of arrestees by race, 1991-2023.}(\#fig:nibrsArresteeRace) +\end{figure} ### Ethnicity @@ -5689,7 +2093,11 @@ Figure \@ref(fig:arresteeEthnicity) shows the breakdown in arrests by arrestee e -
-The share of arrestees by ethnicity, 1991-2023. -

(\#fig:nibrsArresteeEthnicity)The share of arrestees by ethnicity, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeEthnicity-1} + +} + +\caption{The share of arrestees by ethnicity, 1991-2023.}(\#fig:nibrsArresteeEthnicity) +\end{figure} diff --git a/docs/17_nibrs_property.md b/docs/17_nibrs_property.md index 876c6a6..e73f77c 100644 --- a/docs/17_nibrs_property.md +++ b/docs/17_nibrs_property.md @@ -19,10 +19,14 @@ The next most common group, at 13.3%, is when the item was seized by the police. Next is "none" which only means that no property was stolen or damaged but that it could have been. For example, if someone tries to grab a person's purse but fails, that would be considered "none" since the purse was not actually taken. The remaining types are when the item was a counterfeit/forgery, at 1.2%, was burned (such as during an arson) at 0.2%, or when the type of loss is unknown at 0.2% -
-The type of loss or if the item is recovered, 2023. -

(\#fig:propertyTypeLoss)The type of loss or if the item is recovered, 2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{17_nibrs_property_files/figure-latex/propertyTypeLoss-1} + +} + +\caption{The type of loss or if the item is recovered, 2023.}(\#fig:propertyTypeLoss) +\end{figure} ## Description of property @@ -35,503 +39,157 @@ Table \@ref(tab:propertyStolenDescription) shows each of the 68 different types There are about 4.8 million rows in the Property Segment where the item was stolen (the other 3.1 million rows are about property that was seized by police, recovered, damaged, or one of the other types of property loss detailed in Section \@ref(propertyLoss)). As such, even items stolen very rarely can occur thousands or tens of thousands of times. For example, pets were the property stolen about 0.14% of the time and that tiny percent still accounts of 6,821 incidents with a pet stolen. Given the huge number of rows in this data - and as more agencies report to NIBRS this will grow quickly - it can be possible to study specific types of property, such as pets stolen, that would not be possible with a more narrow dataset (both in terms of how specific the items they include are, and the size of the data). - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:propertyStolenDescription)The number and percent of property stolen (including forcibly taken such as during a robbery) and property seized by police (excludes recovering property that was stolen), and recovered by police, 2023. Each incident can have multiple items stolen.
Property First Year # (%) of Property Stolen # (%) of Property Seized # (%) of Property Recovered
Other 1991 1,282,806 (15.79\%) 38,456 (2.54\%) 128,422 (10.64\%)
Money 1991 897,846 (11.05\%) 21,170 (1.40\%) 20,041 (1.66\%)
Automobile 1991 669,545 (8.24\%) 3,708 (0.24\%) 398,894 (33.06\%)
Clothes/Furs 1991 413,932 (5.10\%) 1,261 (0.08\%) 74,705 (6.19\%)
Vehicle Parts/Accessories 1991 406,893 (5.01\%) 2,023 (0.13\%) 36,507 (3.03\%)
Purses/Handbags/Wallets 1991 394,348 (4.86\%) 2,953 (0.19\%) 26,582 (2.20\%)
Merchandise 1991 348,664 (4.29\%) 444 (0.03\%) 105,031 (8.71\%)
Credit/Debit Cards 1991 334,601 (4.12\%) 1,881 (0.12\%) 17,232 (1.43\%)
Consumable Goods 1991 328,566 (4.05\%) 1,898 (0.13\%) 68,355 (5.67\%)
Tools - Power/Hand 1991 303,989 (3.74\%) 1,097 (0.07\%) 25,449 (2.11\%)
Portible Electronic Communications 2009 279,217 (3.44\%) 8,278 (0.55\%) 28,544 (2.37\%)
Identity Documents 2009 271,321 (3.34\%) 4,047 (0.27\%) 13,283 (1.10\%)
Household Goods 1991 227,841 (2.81\%) 1,206 (0.08\%) 30,413 (2.52\%)
Computer Hardware/Software 1991 198,248 (2.44\%) 1,456 (0.10\%) 13,005 (1.08\%)
Identity - Intangible 2009 170,718 (2.10\%) 220 (0.01\%) 2,130 (0.18\%)
Firearms 1991 163,339 (2.01\%) 16,915 (1.12\%) 23,384 (1.94\%)
Jewelry/Precious Metals/Gems 1991 148,039 (1.82\%) 335 (0.02\%) 11,568 (0.96\%)
Bicycles 1991 132,699 (1.63\%) 203 (0.01\%) 14,306 (1.19\%)
Radios/Tv/Vcr/Dvd Players 1991 129,190 (1.59\%) 427 (0.03\%) 9,027 (0.75\%)
Documents - Personal Or Business 2009 102,307 (1.26\%) 3,996 (0.26\%) 6,576 (0.55\%)
Alcohol 1991 95,581 (1.18\%) 1,416 (0.09\%) 13,489 (1.12\%)
Trucks 1991 91,891 (1.13\%) 262 (0.02\%) 51,915 (4.30\%)
Other Motor Vehicles 1991 62,001 (0.76\%) 280 (0.02\%) 22,072 (1.83\%)
Negotiable Instruments 1991 52,111 (0.64\%) 1,390 (0.09\%) 2,516 (0.21\%)
Office-Type Equipment 1991 51,959 (0.64\%) 1,944 (0.13\%) 5,129 (0.43\%)
Lawn/Yard/Garden Equipment 2009 47,029 (0.58\%) 17 (0.00\%) 3,978 (0.33\%)
Trailers 2009 42,657 (0.53\%) 44 (0.00\%) 9,277 (0.77\%)
Drugs/Narcotics 1991 42,073 (0.52\%) 973,582 (64.20\%) 1,708 (0.14\%)
Recreational/Sports Equipment 2009 41,355 (0.51\%) 70 (0.00\%) 4,269 (0.35\%)
Building Materials 2009 40,958 (0.50\%) 38 (0.00\%) 2,819 (0.23\%)
Photographic/Optical Equipment 2009 28,705 (0.35\%) 211 (0.01\%) 1,774 (0.15\%)
Camping/Hunting/Fishing Equipment/Supplies 2009 27,738 (0.34\%) 105 (0.01\%) 3,247 (0.27\%)
Nonnegotiable Instruments 1991 26,281 (0.32\%) 1,057 (0.07\%) 1,530 (0.13\%)
Heavy Construction/Industrial Equipment 1991 25,738 (0.32\%) 418 (0.03\%) 2,783 (0.23\%)
Fuel 2009 22,461 (0.28\%) 24 (0.00\%) 970 (0.08\%)
Collections/Collectibles 2009 20,624 (0.25\%) 55 (0.00\%) 2,408 (0.20\%)
Pending Inventory (Of Property) 1991 19,125 (0.24\%) 132 (0.01\%) 369 (0.03\%)
Recordings - Audio/Visual 1991 18,181 (0.22\%) 1,459 (0.10\%) 1,566 (0.13\%)
Metals, Non-Precious 2009 17,811 (0.22\%) 59 (0.00\%) 1,096 (0.09\%)
Firearm Accessories 2009 17,482 (0.22\%) 4,833 (0.32\%) 2,050 (0.17\%)
Weapons - Other 2009 17,472 (0.22\%) 2,823 (0.19\%) 2,073 (0.17\%)
Recreational Vehicles 1991 14,960 (0.18\%) 41 (0.00\%) 4,963 (0.41\%)
Medical/Medical Lab Equipment 2009 13,977 (0.17\%) 382 (0.03\%) 1,196 (0.10\%)
Musical Instruments 2009 12,467 (0.15\%) 14 (0.00\%) 998 (0.08\%)
Pets 2009 11,628 (0.14\%) 13 (0.00\%) 1,490 (0.12\%)
Farm Equipment 1991 8,355 (0.10\%) 78 (0.01\%) 1,096 (0.09\%)
Artistic Supplies/Accessories 2009 6,733 (0.08\%) 46 (0.00\%) 1,286 (0.11\%)
Chemicals 2009 5,881 (0.07\%) 146 (0.01\%) 899 (0.07\%)
Gambling Equipment 1991 4,598 (0.06\%) 682 (0.04\%) 351 (0.03\%)
Explosives 2010 4,458 (0.05\%) 1,370 (0.09\%) 410 (0.03\%)
Drug/Narcotic Equipment 1991 4,325 (0.05\%) 411,222 (27.12\%) 393 (0.03\%)
Watercraft 1991 3,831 (0.05\%) 7 (0.00\%) 765 (0.06\%)
Watercraft Equipment/Parts/Accessories 2009 2,933 (0.04\%) 3 (0.00\%) 248 (0.02\%)
Law Enforcement Equipment 2009 2,816 (0.03\%) 82 (0.01\%) 361 (0.03\%)
Livestock 1991 2,275 (0.03\%) 10 (0.00\%) 223 (0.02\%)
Logging Equipment 2009 1,504 (0.02\%) 1 (0.00\%) 114 (0.01\%)
Structures - Other 1991 1,351 (0.02\%) 28 (0.00\%) 107 (0.01\%)
Crops 2010 1,255 (0.02\%) 15 (0.00\%) 134 (0.01\%)
Buses 1991 1,197 (0.01\%) 4 (0.00\%) 672 (0.06\%)
Aircraft Parts/Accessories 2009 943 (0.01\%) 14 (0.00\%) 89 (0.01\%)
Structures - Single Occupancy Dwellings 1991 676 (0.01\%) 10 (0.00\%) 33 (0.00\%)
Structures - Storage 1991 564 (0.01\%) 16 (0.00\%) 54 (0.00\%)
Aircraft 1991 530 (0.01\%) 25 (0.00\%) 59 (0.00\%)
Structures - Other Commercial/Business 1991 442 (0.01\%) 6 (0.00\%) 28 (0.00\%)
Structures - Other Dwellings 1991 406 (0.00\%) 3 (0.00\%) 20 (0.00\%)
Special Category 1991 232 (0.00\%) 3 (0.00\%) 15 (0.00\%)
Structures - Industrial Manufacturing 1991 230 (0.00\%) 1 (0.00\%) 23 (0.00\%)
Structures - Public/Community 1991 179 (0.00\%) 3 (0.00\%) 19 (0.00\%)
Total - 8,122,088 (100\%) 1,516,418 (100\%) 1,206,538 (100\%)
+ +\begin{longtable}[t]{l|l|r|r|r} +\caption{(\#tab:propertyStolenDescription)The number and percent of property stolen (including forcibly taken such as during a robbery) and property seized by police (excludes recovering property that was stolen), and recovered by police, 2023. Each incident can have multiple items stolen.}\\ +\hline +Property & First Year & \# (\%) of Property Stolen & \# (\%) of Property Seized & \# (\%) of Property Recovered\\ +\hline +\endfirsthead +\caption[]{(\#tab:propertyStolenDescription)The number and percent of property stolen (including forcibly taken such as during a robbery) and property seized by police (excludes recovering property that was stolen), and recovered by police, 2023. Each incident can have multiple items stolen. \textit{(continued)}}\\ +\hline +Property & First Year & \# (\%) of Property Stolen & \# (\%) of Property Seized & \# (\%) of Property Recovered\\ +\hline +\endhead +Other & 1991 & 1,282,806 (15.79\textbackslash{}\%) & 38,456 (2.54\textbackslash{}\%) & 128,422 (10.64\textbackslash{}\%)\\ +\hline +Money & 1991 & 897,846 (11.05\textbackslash{}\%) & 21,170 (1.40\textbackslash{}\%) & 20,041 (1.66\textbackslash{}\%)\\ +\hline +Automobile & 1991 & 669,545 (8.24\textbackslash{}\%) & 3,708 (0.24\textbackslash{}\%) & 398,894 (33.06\textbackslash{}\%)\\ +\hline +Clothes/Furs & 1991 & 413,932 (5.10\textbackslash{}\%) & 1,261 (0.08\textbackslash{}\%) & 74,705 (6.19\textbackslash{}\%)\\ +\hline +Vehicle Parts/Accessories & 1991 & 406,893 (5.01\textbackslash{}\%) & 2,023 (0.13\textbackslash{}\%) & 36,507 (3.03\textbackslash{}\%)\\ +\hline +Purses/Handbags/Wallets & 1991 & 394,348 (4.86\textbackslash{}\%) & 2,953 (0.19\textbackslash{}\%) & 26,582 (2.20\textbackslash{}\%)\\ +\hline +Merchandise & 1991 & 348,664 (4.29\textbackslash{}\%) & 444 (0.03\textbackslash{}\%) & 105,031 (8.71\textbackslash{}\%)\\ +\hline +Credit/Debit Cards & 1991 & 334,601 (4.12\textbackslash{}\%) & 1,881 (0.12\textbackslash{}\%) & 17,232 (1.43\textbackslash{}\%)\\ +\hline +Consumable Goods & 1991 & 328,566 (4.05\textbackslash{}\%) & 1,898 (0.13\textbackslash{}\%) & 68,355 (5.67\textbackslash{}\%)\\ +\hline +Tools - Power/Hand & 1991 & 303,989 (3.74\textbackslash{}\%) & 1,097 (0.07\textbackslash{}\%) & 25,449 (2.11\textbackslash{}\%)\\ +\hline +Portible Electronic Communications & 2009 & 279,217 (3.44\textbackslash{}\%) & 8,278 (0.55\textbackslash{}\%) & 28,544 (2.37\textbackslash{}\%)\\ +\hline +Identity Documents & 2009 & 271,321 (3.34\textbackslash{}\%) & 4,047 (0.27\textbackslash{}\%) & 13,283 (1.10\textbackslash{}\%)\\ +\hline +Household Goods & 1991 & 227,841 (2.81\textbackslash{}\%) & 1,206 (0.08\textbackslash{}\%) & 30,413 (2.52\textbackslash{}\%)\\ +\hline +Computer Hardware/Software & 1991 & 198,248 (2.44\textbackslash{}\%) & 1,456 (0.10\textbackslash{}\%) & 13,005 (1.08\textbackslash{}\%)\\ +\hline +Identity - Intangible & 2009 & 170,718 (2.10\textbackslash{}\%) & 220 (0.01\textbackslash{}\%) & 2,130 (0.18\textbackslash{}\%)\\ +\hline +Firearms & 1991 & 163,339 (2.01\textbackslash{}\%) & 16,915 (1.12\textbackslash{}\%) & 23,384 (1.94\textbackslash{}\%)\\ +\hline +Jewelry/Precious Metals/Gems & 1991 & 148,039 (1.82\textbackslash{}\%) & 335 (0.02\textbackslash{}\%) & 11,568 (0.96\textbackslash{}\%)\\ +\hline +Bicycles & 1991 & 132,699 (1.63\textbackslash{}\%) & 203 (0.01\textbackslash{}\%) & 14,306 (1.19\textbackslash{}\%)\\ +\hline +Radios/Tv/Vcr/Dvd Players & 1991 & 129,190 (1.59\textbackslash{}\%) & 427 (0.03\textbackslash{}\%) & 9,027 (0.75\textbackslash{}\%)\\ +\hline +Documents - Personal Or Business & 2009 & 102,307 (1.26\textbackslash{}\%) & 3,996 (0.26\textbackslash{}\%) & 6,576 (0.55\textbackslash{}\%)\\ +\hline +Alcohol & 1991 & 95,581 (1.18\textbackslash{}\%) & 1,416 (0.09\textbackslash{}\%) & 13,489 (1.12\textbackslash{}\%)\\ +\hline +Trucks & 1991 & 91,891 (1.13\textbackslash{}\%) & 262 (0.02\textbackslash{}\%) & 51,915 (4.30\textbackslash{}\%)\\ +\hline +Other Motor Vehicles & 1991 & 62,001 (0.76\textbackslash{}\%) & 280 (0.02\textbackslash{}\%) & 22,072 (1.83\textbackslash{}\%)\\ +\hline +Negotiable Instruments & 1991 & 52,111 (0.64\textbackslash{}\%) & 1,390 (0.09\textbackslash{}\%) & 2,516 (0.21\textbackslash{}\%)\\ +\hline +Office-Type Equipment & 1991 & 51,959 (0.64\textbackslash{}\%) & 1,944 (0.13\textbackslash{}\%) & 5,129 (0.43\textbackslash{}\%)\\ +\hline +Lawn/Yard/Garden Equipment & 2009 & 47,029 (0.58\textbackslash{}\%) & 17 (0.00\textbackslash{}\%) & 3,978 (0.33\textbackslash{}\%)\\ +\hline +Trailers & 2009 & 42,657 (0.53\textbackslash{}\%) & 44 (0.00\textbackslash{}\%) & 9,277 (0.77\textbackslash{}\%)\\ +\hline +Drugs/Narcotics & 1991 & 42,073 (0.52\textbackslash{}\%) & 973,582 (64.20\textbackslash{}\%) & 1,708 (0.14\textbackslash{}\%)\\ +\hline +Recreational/Sports Equipment & 2009 & 41,355 (0.51\textbackslash{}\%) & 70 (0.00\textbackslash{}\%) & 4,269 (0.35\textbackslash{}\%)\\ +\hline +Building Materials & 2009 & 40,958 (0.50\textbackslash{}\%) & 38 (0.00\textbackslash{}\%) & 2,819 (0.23\textbackslash{}\%)\\ +\hline +Photographic/Optical Equipment & 2009 & 28,705 (0.35\textbackslash{}\%) & 211 (0.01\textbackslash{}\%) & 1,774 (0.15\textbackslash{}\%)\\ +\hline +Camping/Hunting/Fishing Equipment/Supplies & 2009 & 27,738 (0.34\textbackslash{}\%) & 105 (0.01\textbackslash{}\%) & 3,247 (0.27\textbackslash{}\%)\\ +\hline +Nonnegotiable Instruments & 1991 & 26,281 (0.32\textbackslash{}\%) & 1,057 (0.07\textbackslash{}\%) & 1,530 (0.13\textbackslash{}\%)\\ +\hline +Heavy Construction/Industrial Equipment & 1991 & 25,738 (0.32\textbackslash{}\%) & 418 (0.03\textbackslash{}\%) & 2,783 (0.23\textbackslash{}\%)\\ +\hline +Fuel & 2009 & 22,461 (0.28\textbackslash{}\%) & 24 (0.00\textbackslash{}\%) & 970 (0.08\textbackslash{}\%)\\ +\hline +Collections/Collectibles & 2009 & 20,624 (0.25\textbackslash{}\%) & 55 (0.00\textbackslash{}\%) & 2,408 (0.20\textbackslash{}\%)\\ +\hline +Pending Inventory (Of Property) & 1991 & 19,125 (0.24\textbackslash{}\%) & 132 (0.01\textbackslash{}\%) & 369 (0.03\textbackslash{}\%)\\ +\hline +Recordings - Audio/Visual & 1991 & 18,181 (0.22\textbackslash{}\%) & 1,459 (0.10\textbackslash{}\%) & 1,566 (0.13\textbackslash{}\%)\\ +\hline +Metals, Non-Precious & 2009 & 17,811 (0.22\textbackslash{}\%) & 59 (0.00\textbackslash{}\%) & 1,096 (0.09\textbackslash{}\%)\\ +\hline +Firearm Accessories & 2009 & 17,482 (0.22\textbackslash{}\%) & 4,833 (0.32\textbackslash{}\%) & 2,050 (0.17\textbackslash{}\%)\\ +\hline +Weapons - Other & 2009 & 17,472 (0.22\textbackslash{}\%) & 2,823 (0.19\textbackslash{}\%) & 2,073 (0.17\textbackslash{}\%)\\ +\hline +Recreational Vehicles & 1991 & 14,960 (0.18\textbackslash{}\%) & 41 (0.00\textbackslash{}\%) & 4,963 (0.41\textbackslash{}\%)\\ +\hline +Medical/Medical Lab Equipment & 2009 & 13,977 (0.17\textbackslash{}\%) & 382 (0.03\textbackslash{}\%) & 1,196 (0.10\textbackslash{}\%)\\ +\hline +Musical Instruments & 2009 & 12,467 (0.15\textbackslash{}\%) & 14 (0.00\textbackslash{}\%) & 998 (0.08\textbackslash{}\%)\\ +\hline +Pets & 2009 & 11,628 (0.14\textbackslash{}\%) & 13 (0.00\textbackslash{}\%) & 1,490 (0.12\textbackslash{}\%)\\ +\hline +Farm Equipment & 1991 & 8,355 (0.10\textbackslash{}\%) & 78 (0.01\textbackslash{}\%) & 1,096 (0.09\textbackslash{}\%)\\ +\hline +Artistic Supplies/Accessories & 2009 & 6,733 (0.08\textbackslash{}\%) & 46 (0.00\textbackslash{}\%) & 1,286 (0.11\textbackslash{}\%)\\ +\hline +Chemicals & 2009 & 5,881 (0.07\textbackslash{}\%) & 146 (0.01\textbackslash{}\%) & 899 (0.07\textbackslash{}\%)\\ +\hline +Gambling Equipment & 1991 & 4,598 (0.06\textbackslash{}\%) & 682 (0.04\textbackslash{}\%) & 351 (0.03\textbackslash{}\%)\\ +\hline +Explosives & 2010 & 4,458 (0.05\textbackslash{}\%) & 1,370 (0.09\textbackslash{}\%) & 410 (0.03\textbackslash{}\%)\\ +\hline +Drug/Narcotic Equipment & 1991 & 4,325 (0.05\textbackslash{}\%) & 411,222 (27.12\textbackslash{}\%) & 393 (0.03\textbackslash{}\%)\\ +\hline +Watercraft & 1991 & 3,831 (0.05\textbackslash{}\%) & 7 (0.00\textbackslash{}\%) & 765 (0.06\textbackslash{}\%)\\ +\hline +Watercraft Equipment/Parts/Accessories & 2009 & 2,933 (0.04\textbackslash{}\%) & 3 (0.00\textbackslash{}\%) & 248 (0.02\textbackslash{}\%)\\ +\hline +Law Enforcement Equipment & 2009 & 2,816 (0.03\textbackslash{}\%) & 82 (0.01\textbackslash{}\%) & 361 (0.03\textbackslash{}\%)\\ +\hline +Livestock & 1991 & 2,275 (0.03\textbackslash{}\%) & 10 (0.00\textbackslash{}\%) & 223 (0.02\textbackslash{}\%)\\ +\hline +Logging Equipment & 2009 & 1,504 (0.02\textbackslash{}\%) & 1 (0.00\textbackslash{}\%) & 114 (0.01\textbackslash{}\%)\\ +\hline +Structures - Other & 1991 & 1,351 (0.02\textbackslash{}\%) & 28 (0.00\textbackslash{}\%) & 107 (0.01\textbackslash{}\%)\\ +\hline +Crops & 2010 & 1,255 (0.02\textbackslash{}\%) & 15 (0.00\textbackslash{}\%) & 134 (0.01\textbackslash{}\%)\\ +\hline +Buses & 1991 & 1,197 (0.01\textbackslash{}\%) & 4 (0.00\textbackslash{}\%) & 672 (0.06\textbackslash{}\%)\\ +\hline +Aircraft Parts/Accessories & 2009 & 943 (0.01\textbackslash{}\%) & 14 (0.00\textbackslash{}\%) & 89 (0.01\textbackslash{}\%)\\ +\hline +Structures - Single Occupancy Dwellings & 1991 & 676 (0.01\textbackslash{}\%) & 10 (0.00\textbackslash{}\%) & 33 (0.00\textbackslash{}\%)\\ +\hline +Structures - Storage & 1991 & 564 (0.01\textbackslash{}\%) & 16 (0.00\textbackslash{}\%) & 54 (0.00\textbackslash{}\%)\\ +\hline +Aircraft & 1991 & 530 (0.01\textbackslash{}\%) & 25 (0.00\textbackslash{}\%) & 59 (0.00\textbackslash{}\%)\\ +\hline +Structures - Other Commercial/Business & 1991 & 442 (0.01\textbackslash{}\%) & 6 (0.00\textbackslash{}\%) & 28 (0.00\textbackslash{}\%)\\ +\hline +Structures - Other Dwellings & 1991 & 406 (0.00\textbackslash{}\%) & 3 (0.00\textbackslash{}\%) & 20 (0.00\textbackslash{}\%)\\ +\hline +Special Category & 1991 & 232 (0.00\textbackslash{}\%) & 3 (0.00\textbackslash{}\%) & 15 (0.00\textbackslash{}\%)\\ +\hline +Structures - Industrial Manufacturing & 1991 & 230 (0.00\textbackslash{}\%) & 1 (0.00\textbackslash{}\%) & 23 (0.00\textbackslash{}\%)\\ +\hline +Structures - Public/Community & 1991 & 179 (0.00\textbackslash{}\%) & 3 (0.00\textbackslash{}\%) & 19 (0.00\textbackslash{}\%)\\ +\hline +Total & - & 8,122,088 (100\textbackslash{}\%) & 1,516,418 (100\textbackslash{}\%) & 1,206,538 (100\textbackslash{}\%)\\ +\hline +\end{longtable} @@ -546,331 +204,105 @@ The police can take the victim's estimation into consideration but are not suppo We can use this variable to look at the value of items lost by the victim. Figure \@ref(fig:propertyValuePropertyLevel) looks at the value per item stolen in a crime (if incidents have multiple items stolen, this counts them all separately). This includes items lost by theft, robbery, and burglary so is part of the "Stolen/Robbed/Etc." category of types of property loss. It excludes items damaged or destroyed or burned (there is information about the value of property in these incidents but these are not shown in the figure). To make this graph a bit simpler I have rounded all values to the nearest \$100 so items valued at \$0 mean that they are worth between \$1 and \$50. -
-The distribution of the value of property stolen. Each value is rounded to the nearest 100. The x-axis is set on the log scale as this distribution is hugely skewed. Values over 1,0000,00 are set to 1,000,000. -

(\#fig:propertyValuePropertyLevel)The distribution of the value of property stolen. Each value is rounded to the nearest 100. The x-axis is set on the log scale as this distribution is hugely skewed. Values over 1,0000,00 are set to 1,000,000.

-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:nibrsPropertyStolenValue)Annual mean, median, and maximum values (in dollars) of property stolen and recovered, 1991-2023.
Year Mean Value Stolen Median Value Stolen Max Value Stolen Mean Value Recovered Median Value Recovered Max Value Recovered
1991 1,051 150 15,016,780 1,727 125 12,000,000
1992 3,242 148 580,000,682 1,414 100 1,790,000
1993 14,701 129 900,000,000 23,215 95 900,000,000
1994 41,258 129 999,999,999 64,414 85 999,999,999
1995 2,074 134 450,000,000 6,196 81 450,000,000
1996 2,560 147 800,000,085 1,750 85 3,500,000
1997 1,640 135 450,000,000 1,830 92 1,300,000
1998 1,898 146 480,000,000 1,978 100 1,000,000
1999 1,791 150 245,000,120 2,621 100 100,000,000
2000 1,252 150 100,001,280 2,379 124 838,466
2001 8,128 143 890,000,000 4,397 125 500,000,001
2002 1,742 150 300,000,000 3,438 125 300,000,000
2003 1,814 140 400,000,000 2,384 119 7,501,000
2004 1,833 130 939,000,000 4,918 120 939,000,000
2005 2,164 150 575,152,425 3,687 150 298,000,001
2006 1,315 150 100,003,300 2,656 174 5,726,400
2007 1,850 150 950,000,000 2,650 150 100,000,000
2008 3,031 150 999,999,999 4,434 120 999,999,999
2009 1,179 155 100,000,000 1,719 100 5,000,000
2010 1,150 170 10,000,000 1,606 100 2,199,999
2011 1,462 180 999,999,999 1,516 100 2,001,850
2012 1,222 175 100,000,000 1,554 103 18,805,960
2013 1,792 168 950,000,000 1,788 108 100,000,020
2014 1,271 150 100,000,350 1,667 109 1,800,000
2015 1,257 150 20,000,000 1,867 115 2,500,000
2016 2,063 150 999,999,999 2,199 150 4,000,000
2017 1,581 150 361,000,000 2,526 164 5,000,000
2018 2,298 150 999,999,999 2,936 178 24,000,000
2019 13,226 150 999,999,999 13,121 179 999,999,999
2020 243,308 174 999,999,999 149,418 249 999,999,999
2021 280,898 205 999,999,999 242,885 400 999,999,999
2022 23,306 250 999,999,999 46,453 489 999,999,998
2023 42,640 250 999,999,999 52,336 500 999,999,999
- - - -
-Annual percent of the value of all property stolen that is made up of the value that is the maximum dollar amount reported in that year, 1991-2023. -

(\#fig:nibrsPropertyMaxValuePercent)Annual percent of the value of all property stolen that is made up of the value that is the maximum dollar amount reported in that year, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{17_nibrs_property_files/figure-latex/propertyValuePropertyLevel-1} + +} + +\caption{The distribution of the value of property stolen. Each value is rounded to the nearest 100. The x-axis is set on the log scale as this distribution is hugely skewed. Values over 1,0000,00 are set to 1,000,000.}(\#fig:propertyValuePropertyLevel) +\end{figure} + + +\begin{longtable}[t]{l|r|r|l|r|r|l} +\caption{(\#tab:nibrsPropertyStolenValue)Annual mean, median, and maximum values (in dollars) of property stolen and recovered, 1991-2023.}\\ +\hline +Year & Mean Value Stolen & Median Value Stolen & Max Value Stolen & Mean Value Recovered & Median Value Recovered & Max Value Recovered\\ +\hline +\endfirsthead +\caption[]{(\#tab:nibrsPropertyStolenValue)Annual mean, median, and maximum values (in dollars) of property stolen and recovered, 1991-2023. \textit{(continued)}}\\ +\hline +Year & Mean Value Stolen & Median Value Stolen & Max Value Stolen & Mean Value Recovered & Median Value Recovered & Max Value Recovered\\ +\hline +\endhead +1991 & 1,051 & 150 & 15,016,780 & 1,727 & 125 & 12,000,000\\ +\hline +1992 & 3,242 & 148 & 580,000,682 & 1,414 & 100 & 1,790,000\\ +\hline +1993 & 14,701 & 129 & 900,000,000 & 23,215 & 95 & 900,000,000\\ +\hline +1994 & 41,258 & 129 & 999,999,999 & 64,414 & 85 & 999,999,999\\ +\hline +1995 & 2,074 & 134 & 450,000,000 & 6,196 & 81 & 450,000,000\\ +\hline +1996 & 2,560 & 147 & 800,000,085 & 1,750 & 85 & 3,500,000\\ +\hline +1997 & 1,640 & 135 & 450,000,000 & 1,830 & 92 & 1,300,000\\ +\hline +1998 & 1,898 & 146 & 480,000,000 & 1,978 & 100 & 1,000,000\\ +\hline +1999 & 1,791 & 150 & 245,000,120 & 2,621 & 100 & 100,000,000\\ +\hline +2000 & 1,252 & 150 & 100,001,280 & 2,379 & 124 & 838,466\\ +\hline +2001 & 8,128 & 143 & 890,000,000 & 4,397 & 125 & 500,000,001\\ +\hline +2002 & 1,742 & 150 & 300,000,000 & 3,438 & 125 & 300,000,000\\ +\hline +2003 & 1,814 & 140 & 400,000,000 & 2,384 & 119 & 7,501,000\\ +\hline +2004 & 1,833 & 130 & 939,000,000 & 4,918 & 120 & 939,000,000\\ +\hline +2005 & 2,164 & 150 & 575,152,425 & 3,687 & 150 & 298,000,001\\ +\hline +2006 & 1,315 & 150 & 100,003,300 & 2,656 & 174 & 5,726,400\\ +\hline +2007 & 1,850 & 150 & 950,000,000 & 2,650 & 150 & 100,000,000\\ +\hline +2008 & 3,031 & 150 & 999,999,999 & 4,434 & 120 & 999,999,999\\ +\hline +2009 & 1,179 & 155 & 100,000,000 & 1,719 & 100 & 5,000,000\\ +\hline +2010 & 1,150 & 170 & 10,000,000 & 1,606 & 100 & 2,199,999\\ +\hline +2011 & 1,462 & 180 & 999,999,999 & 1,516 & 100 & 2,001,850\\ +\hline +2012 & 1,222 & 175 & 100,000,000 & 1,554 & 103 & 18,805,960\\ +\hline +2013 & 1,792 & 168 & 950,000,000 & 1,788 & 108 & 100,000,020\\ +\hline +2014 & 1,271 & 150 & 100,000,350 & 1,667 & 109 & 1,800,000\\ +\hline +2015 & 1,257 & 150 & 20,000,000 & 1,867 & 115 & 2,500,000\\ +\hline +2016 & 2,063 & 150 & 999,999,999 & 2,199 & 150 & 4,000,000\\ +\hline +2017 & 1,581 & 150 & 361,000,000 & 2,526 & 164 & 5,000,000\\ +\hline +2018 & 2,298 & 150 & 999,999,999 & 2,936 & 178 & 24,000,000\\ +\hline +2019 & 13,226 & 150 & 999,999,999 & 13,121 & 179 & 999,999,999\\ +\hline +2020 & 243,308 & 174 & 999,999,999 & 149,418 & 249 & 999,999,999\\ +\hline +2021 & 280,898 & 205 & 999,999,999 & 242,885 & 400 & 999,999,999\\ +\hline +2022 & 23,306 & 250 & 999,999,999 & 46,453 & 489 & 999,999,998\\ +\hline +2023 & 42,640 & 250 & 999,999,999 & 52,336 & 500 & 999,999,999\\ +\hline +\end{longtable} + + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{17_nibrs_property_files/figure-latex/nibrsPropertyMaxValuePercent-1} + +} + +\caption{Annual percent of the value of all property stolen that is made up of the value that is the maximum dollar amount reported in that year, 1991-2023.}(\#fig:nibrsPropertyMaxValuePercent) +\end{figure} ## Date property was recovered @@ -878,10 +310,14 @@ This segment tells us both when the incident happened and, for stolen property, The majority - 60.8% - of property lost is recovered on the same day, which is shown as zero days. We saw in Figure \@ref(fig:arrestsDaysUntilArrest) that the vast majority of arrests happen on the same day as the incident so it makes sense the most property would too.^[I would expect most property to be recovered on the arrestee's body.] A smaller and smaller share of property is recovered as the number of days from the incident increase, a trend also found in the time to arrest graph. The lesson here seems to be that if you are a victim of a crime and had something taken, unless it is recovered very quickly it is unlikely to be recovered at all. -
-The distribution of the number of days from the incident to the property recovered date. Zero days means that the arrest occurred on the same day as the incident. -

(\#fig:propertyDaysUntilRecovered)The distribution of the number of days from the incident to the property recovered date. Zero days means that the arrest occurred on the same day as the incident.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{17_nibrs_property_files/figure-latex/propertyDaysUntilRecovered-1} + +} + +\caption{The distribution of the number of days from the incident to the property recovered date. Zero days means that the arrest occurred on the same day as the incident.}(\#fig:propertyDaysUntilRecovered) +\end{figure} ## Drugs @@ -913,135 +349,67 @@ The drugs in NIBRS are the "suspected drug types" which means that they are what Not too surprising, marijuana is the most common drug seized at 47% - or 455k incidents with it seized - of the data. This is followed by amphetamines/methamphetamines (including what we'd normally just call meth) at 20.7% and then heroin at 8.5%. Interestingly, cocaine and crack cocaine (which are always separate categories) both occur in 5.09% of drugs seized. Given the large disparity in sentences for these types of drugs, and that "crack wars" were a major purported cause of violent crime in the 1980s and 1990s, I expected crack cocaine to be much more common than normal cocaine. The remaining drug types are all less than 5% of drugs seized each and has some groupings of drug types (e.g. stimulants) rather than specific drug types (though some of these categories, such as LSD, are specific drugs). - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:propertyDrugs)The number and percent of drugs seized by police by type of drug, for all drugs seized in 2022.
Drug Type First Year \# of Drugs \% of Drugs
Marijuana 1991 525,007 39.59\%
Amphetamines/Methamphetamines 1991 328,267 24.76\%
Other Narcotics 1991 106,271 8.01\%
Cocaine (All Forms Except Crack) 1991 87,404 6.59\%
Crack Cocaine 1991 76,357 5.76\%
Other Drugs 1991 60,096 4.53\%
Heroin 1991 52,198 3.94\%
Unknown Type Drug 1991 37,221 2.81\%
Opium 1992 15,450 1.17\%
Other Hallucinogens 1991 11,965 0.90\%
Other Depressants 1991 7,889 0.59\%
Hashish 1991 7,112 0.54\%
Other Stimulants 1991 4,923 0.37\%
PCP 1993 1,671 0.13\%
Barbiturates 1991 1,507 0.11\%
LSD 1991 1,349 0.10\%
Morphine 1992 1,278 0.10\%
Total - 1,325,965 100\%
- - - - -
-Annual percent of drug seizures by drug type, for the 1st drug reported, 1991-2023. -

(\#fig:nibrsPropertyDrugType)Annual percent of drug seizures by drug type, for the 1st drug reported, 1991-2023.

-
+ +\begin{longtable}[t]{l|r|r|l} +\caption{(\#tab:propertyDrugs)The number and percent of drugs seized by police by type of drug, for all drugs seized in 2022.}\\ +\hline +Drug Type & First Year & \textbackslash{}\# of Drugs & \textbackslash{}\% of Drugs\\ +\hline +\endfirsthead +\caption[]{(\#tab:propertyDrugs)The number and percent of drugs seized by police by type of drug, for all drugs seized in 2022. \textit{(continued)}}\\ +\hline +Drug Type & First Year & \textbackslash{}\# of Drugs & \textbackslash{}\% of Drugs\\ +\hline +\endhead +Marijuana & 1991 & 525,007 & 39.59\textbackslash{}\%\\ +\hline +Amphetamines/Methamphetamines & 1991 & 328,267 & 24.76\textbackslash{}\%\\ +\hline +Other Narcotics & 1991 & 106,271 & 8.01\textbackslash{}\%\\ +\hline +Cocaine (All Forms Except Crack) & 1991 & 87,404 & 6.59\textbackslash{}\%\\ +\hline +Crack Cocaine & 1991 & 76,357 & 5.76\textbackslash{}\%\\ +\hline +Other Drugs & 1991 & 60,096 & 4.53\textbackslash{}\%\\ +\hline +Heroin & 1991 & 52,198 & 3.94\textbackslash{}\%\\ +\hline +Unknown Type Drug & 1991 & 37,221 & 2.81\textbackslash{}\%\\ +\hline +Opium & 1992 & 15,450 & 1.17\textbackslash{}\%\\ +\hline +Other Hallucinogens & 1991 & 11,965 & 0.90\textbackslash{}\%\\ +\hline +Other Depressants & 1991 & 7,889 & 0.59\textbackslash{}\%\\ +\hline +Hashish & 1991 & 7,112 & 0.54\textbackslash{}\%\\ +\hline +Other Stimulants & 1991 & 4,923 & 0.37\textbackslash{}\%\\ +\hline +PCP & 1993 & 1,671 & 0.13\textbackslash{}\%\\ +\hline +Barbiturates & 1991 & 1,507 & 0.11\textbackslash{}\%\\ +\hline +LSD & 1991 & 1,349 & 0.10\textbackslash{}\%\\ +\hline +Morphine & 1992 & 1,278 & 0.10\textbackslash{}\%\\ +\hline +Total & - & 1,325,965 & 100\textbackslash{}\%\\ +\hline +\end{longtable} + + + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{17_nibrs_property_files/figure-latex/nibrsPropertyDrugType-1} + +} + +\caption{Annual percent of drug seizures by drug type, for the 1st drug reported, 1991-2023.}(\#fig:nibrsPropertyDrugType) +\end{figure} ### Amount of drugs @@ -1062,8 +430,12 @@ Once you know the units you can look at the amount of drugs seized. The amount i So with those caveats, we can see what amounts of marijuana, measured in grams, are most frequently seized. Generally, the amount of marijuana seized is in small amounts with 22.5% being 1-2 grams (since we do not include the parts of a gram we can only say that it is 1 to 1.999 grams) and 18.6% being less than one gram. As the amount of drugs increase, the percent of seizures that involve this number of drugs decreases. It's a bit curious that they include grams for values over 28 since 28.3495 grams is one ounce so it would make sense to just start reporting in units of ounces instead of just increasingly large number of grams. -
-For drugs seized that are measured in grams, this figure shows the distribution in the number of grams seized. Values over 10 grams are grouped together for easier interpretation of lower values of drugs seized. -

(\#fig:propertyMarijuanaGramMeasures)For drugs seized that are measured in grams, this figure shows the distribution in the number of grams seized. Values over 10 grams are grouped together for easier interpretation of lower values of drugs seized.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{17_nibrs_property_files/figure-latex/propertyMarijuanaGramMeasures-1} + +} + +\caption{For drugs seized that are measured in grams, this figure shows the distribution in the number of grams seized. Values over 10 grams are grouped together for easier interpretation of lower values of drugs seized.}(\#fig:propertyMarijuanaGramMeasures) +\end{figure} diff --git a/docs/18_references.md b/docs/18_references.md index 4bf69a2..75df9cf 100644 --- a/docs/18_references.md +++ b/docs/18_references.md @@ -1,3 +1,3 @@ \backmatter -# References {-} + diff --git a/docs/index.md b/docs/index.md index ab061fd..50c62a5 100644 --- a/docs/index.md +++ b/docs/index.md @@ -41,16 +41,24 @@ UCR data is important for three reasons: More than many other datasets, there will be times when using UCR data that you will think "that is weird". This book will cover this weirdness and when we think the weirdness is just an odd - but acceptable - quirk of the data, and when it is a sign of a big problem in the data or in that particular variable and that we should avoid using it. For most of this book we will be discussing the caveats of the above reasons - or, more directly, why these assumptions are wrong - but these are the reasons why the data is so influential. -
-The annual percent of the United States population that is covered by an agency reporting data to NIBRS. -

(\#fig:nibrsAnnualPercentPopulationIndex)The annual percent of the United States population that is covered by an agency reporting data to NIBRS.

-
+\begin{figure} +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/nibrsAnnualPercentPopulationIndex-1} + +} + +\caption{The annual percent of the United States population that is covered by an agency reporting data to NIBRS.}(\#fig:nibrsAnnualPercentPopulationIndex) +\end{figure} -
-The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2023 (using 2022 ACS 5-year Census data). -

(\#fig:nibrsStateParticipation2020Index)The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2023 (using 2022 ACS 5-year Census data).

-
+ +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/nibrsStateParticipation2020Index-1} + +} + +\caption{The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2023 (using 2022 ACS 5-year Census data).}(\#fig:nibrsStateParticipation2020Index) +\end{figure} ## Goal of the book @@ -96,10 +104,14 @@ If you have any questions, suggestions (such as a topic to cover), or find any i For more minor issues like typos or grammar mistakes, you can edit the book directly through its GitHub page. That will make an update for me to accept, which will change the book to include your edit. To do that, click the edit button at the top of the site - the button is highlighted in the below figure. You will need to make a GitHub account to make edits. When you click on that button you will be taken to a page that looks like a Word Doc where you can make edits. Make any edits you want and then scroll to the bottom of the page. There you can write a short (please, no more than a sentence or two) description of what you have done and then submit the changes for me to review. -
-The edit button for how to make edits of this book. -

(\#fig:unnamed-chunk-3)The edit button for how to make edits of this book.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{images/edit_button} + +} + +\caption{The edit button for how to make edits of this book.}(\#fig:unnamed-chunk-3) +\end{figure} Please only use the above two methods to contribute or make suggestions about the book. While it is a bit more work for you to do it this way, since you will need to make a GitHub account if you do not already have one, it helps me organize all the questions in one place and update the book if I decide to add answers to certain questions. @@ -115,10 +127,14 @@ When dealing with specific agencies, make sure to use the ORI rather than the ag We will finish this overview of the SRS data by briefly talking about format of the data that is released by the FBI, before the processing done by myself or [NACJD](https://www.icpsr.umich.edu/web/pages/NACJD/index.html) that converts the data to a type that software like R or Stata or Excel can understand. The FBI releases their data as fixed-width ASCII files which are basically just an Excel file but with all of the columns squished together. As an example, Figure \@ref(fig:SRSascii) shows what the data looks like as you receive it from the FBI for the Offenses Known and Clearances by Arrest dataset for 1960, the first year with data available. In the figure, it seems like there are multiple rows but that is just because the software that I opened the file in is not wide enough - in reality what is shown is a single row that is extremely wide because there are over 1,500 columns in this data. If you scroll down enough you will see the next row, but that is not shown in the current image. What is shown is a single row with a ton of columns all pushed up next to each other. Since all of the columns are squished together (the gaps are just blank spaces because the value there is a space, but that does not mean there is a in the data. Spaces are possible values in the data and are meaningful), you need some way to figure out which parts of the data belong in which column. -
-Fixed-width ASCII file for the 1991 National Incident-Based Reporting System (NIBRS) dataset. -

(\#fig:ascii)Fixed-width ASCII file for the 1991 National Incident-Based Reporting System (NIBRS) dataset.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{images/nibrs_ascii} + +} + +\caption{Fixed-width ASCII file for the 1991 National Incident-Based Reporting System (NIBRS) dataset.}(\#fig:ascii) +\end{figure} The "fixed-width" part of the file type is how this works (the ASCII part basically means it is a text file). Each row is the same width - literally the same number of characters, including blank spaces. So you must tell the software you are using to process this file - by literally writing code in something called a "setup file" but is basically just instructions for whatever software you use (R, SPSS, Stata, SAS can all do this) - which characters are certain columns. For example, in this data the first character says which type of SRS data it is (1 means the Offenses Known and Clearances by Arrest data) and the next two characters (in the setup file written as 2-3 since it is characters 2 through 3 [inclusive]) are the state number (01 is the state code for Alabama). So we can read this row as the first column indicating it is an Offenses Known data, the second column indicating that it is for the state of Alabama, and so on for each of the remaining columns. To read in this data you will need a setup file that covers every column in the data (some software, like R, can handle just reading in the specific columns you want and do not need to include every column in the setup file). @@ -146,17 +162,25 @@ The population value is the population who reside in that jurisdiction and does When an agency reports their data to the FBI, they do so voluntarily - there is no national requirement to report.^[Some states do mandate that their agencies report, but this is not always followed.] This means that there is inconsistency in which agencies report, how many months of the year they report for, and which variables they include in their data submissions. -
-The annual number of police agencies that report data to NIBRS. -

(\#fig:nibrsAnnualNumberAgenciesIndex)The annual number of police agencies that report data to NIBRS.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/nibrsAnnualNumberAgenciesIndex-1} + +} + +\caption{The annual number of police agencies that report data to NIBRS.}(\#fig:nibrsAnnualNumberAgenciesIndex) +\end{figure} In general, more agencies report their data every year and once an agency begins reporting data they tend to keep reporting. The SRS datasets are a collection of separate, though related, datasets and an agency can report to as many of these datasets as they want - an agency that reports to one dataset does not mean that they report to other datasets. Figure \@ref(fig:SRSagenciesReporting) shows the number of agencies that submitted at least one month of data to the Offenses Known and Clearances by Arrest data in the given year. For the first decade of available data under 8,000 agencies reported data and this grew to over 13,500 by the late 1970s before plateauing for about a decade. The number of agencies that reported their data actually declined in the 1990s, driven primarily by many Florida agencies temporarily dropping out, before growing steadily to nearly 17,000 agencies in 2010; from here it kept increasing but slower than before. -
-The annual number of agencies reporting to the Offenses Known and Clearances by Arrest dataset. Reporting is based on the agency reporting at least one month of data in that year. -

(\#fig:SRSagenciesReporting)The annual number of agencies reporting to the Offenses Known and Clearances by Arrest dataset. Reporting is based on the agency reporting at least one month of data in that year.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/SRSagenciesReporting-1} + +} + +\caption{The annual number of agencies reporting to the Offenses Known and Clearances by Arrest dataset. Reporting is based on the agency reporting at least one month of data in that year.}(\#fig:SRSagenciesReporting) +\end{figure} There are approximately 18,000 police agencies in the United States so recent data has reports from nearly all agencies, while older data has far fewer agencies reporting. When trying to estimate to larger geographies, such as state or national-level, later years will be more accurate as you are missing less data. For earlier data, however, you are dealing with a smaller share of agencies meaning that you have a large amount of missing data and a less representative sample. @@ -164,33 +188,49 @@ There are approximately 18,000 police agencies in the United States so recent da This voluntariness extends beyond whether they report or not, but into which variables they report. While in practice most agencies report every crime when they report any, they do have the choice to report only a subset of offenses. This is especially true for subsets of larger categories - such as gun assaults, a subset of aggravated assaults, or marijuana possession arrests which is a subset of drug possession arrests. As an example, Figure \@ref(fig:nycGunAssaults) shows the annual number of aggravated assaults with a gun in New York City. In 2003 the New York Police Department stopped reporting this category of offense, resuming only in 2013. They continued to report the broader aggravated assault category, but not any of the subsections of aggravated assaults which say which weapon was used during the assault. -
-Monthly reports of gun assaults in New York City, 1960-2023. -

(\#fig:nycGunAssaults)Monthly reports of gun assaults in New York City, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/nycGunAssaults-1} + +} + +\caption{Monthly reports of gun assaults in New York City, 1960-2023.}(\#fig:nycGunAssaults) +\end{figure} Given that agencies can join or drop out of the SRS program at will, and report only partial data, it is highly important to carefully examine your data to make sure that there are no issues caused by this. Even when an agency reports SRS data, and even when they report every crime category, they can report fewer than 12 months of data. In some cases they simply report all of their data in December, or report quarterly or semi-annually so some months have zero crimes reported while others count multiple months in that month's data. One example of this is New York City, shown in Figure \@ref(fig:nycMurderMonthly), in the early-2000s to the mid-2010s where they began reporting data quarterly instead of monthly. -
-Monthly murders in New York City, 1990-2023. During the 2000s, the police department began reporting quarterly instead of monthly and then resumed monthly reporting. -

(\#fig:nycMurderMonthly)Monthly murders in New York City, 1990-2023. During the 2000s, the police department began reporting quarterly instead of monthly and then resumed monthly reporting.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/nycMurderMonthly-1} + +} + +\caption{Monthly murders in New York City, 1990-2023. During the 2000s, the police department began reporting quarterly instead of monthly and then resumed monthly reporting.}(\#fig:nycMurderMonthly) +\end{figure} When you sum up each month into an annual count, as shown in Figure \@ref(fig:nycMurderYearly), the problem disappears since the zero months are accounted for in the months that have the quarterly data. If you are using monthly data and only examine the data at the annual level, you will fall into the trap of having incorrect data that is hidden due to the level of aggregation examined. While cases like NYC are obvious when viewed monthly, for people that are including thousands of agencies in their data, it is unfeasible to look at each agency for each crime included. This can introduce errors as the best way to examine the data is manually viewing graphs and the automated method, looking for outliers through some kind of comparison to expected values, can be incorrect. -
-Annual murders in New York City, 1990-2023. -

(\#fig:nycMurderYearly)Annual murders in New York City, 1990-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/nycMurderYearly-1} + +} + +\caption{Annual murders in New York City, 1990-2023.}(\#fig:nycMurderYearly) +\end{figure} In other cases when agencies report fewer than 12 months of the year, they simply report partial data and as a result undercount crimes. Figure \@ref(fig:miamiDadeMurderAnnual) shows annual murders in Miami-Dade, Florida and has three years of this issue occurring. The first two years with this issue are the two where zero murders are reported - this is because the agency did not report any months of data. The final year is in 2018, the last year of data in this graph, where it looks like murder suddenly dropped significantly. That is just because Miami-Dade only reported through June, so they are missing half of 2018. -
-Annual murders in Miami-Dade, Florida, 1960-2023. -

(\#fig:miamiDadeMurderAnnual)Annual murders in Miami-Dade, Florida, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/miamiDadeMurderAnnual-1} + +} + +\caption{Annual murders in Miami-Dade, Florida, 1960-2023.}(\#fig:miamiDadeMurderAnnual) +\end{figure} ### Zero crimes vs no reports @@ -201,9 +241,13 @@ In some cases it is easy to see when a zero crimes reported is actually the agen Differentiating zero crimes and no reports becomes tricky in agencies that tend to report few crimes, which most small towns do. As an example, Figure \@ref(fig:danvilleRape) shows the annual reports of rape in Danville, California, a city of approximately 45,000 people. The city reports on average 2.8 rapes per year and in five years reported zero rapes. In cases like this it is not clear whether we should consider those zero years as true zeros (that no one was raped or reported their rape to the police) or whether the agency simply did not report rape data that year. -
-Annual rapes reported in Danville, CA, 1960-2023. -

(\#fig:danvilleRape)Annual rapes reported in Danville, CA, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/danvilleRape-1} + +} + +\caption{Annual rapes reported in Danville, CA, 1960-2023.}(\#fig:danvilleRape) +\end{figure} ### Agency data covered by another agency diff --git a/docs/reference-keys.txt b/docs/reference-keys.txt deleted file mode 100644 index f96a702..0000000 --- a/docs/reference-keys.txt +++ /dev/null @@ -1,387 +0,0 @@ -fig:nibrsAnnualPercentPopulationIndex -fig:nibrsStateParticipation2020Index -fig:unnamed-chunk-3 -fig:ascii -fig:nibrsAnnualNumberAgenciesIndex -fig:SRSagenciesReporting -fig:nycGunAssaults -fig:nycMurderMonthly -fig:nycMurderYearly -fig:miamiDadeMurderAnnual -fig:danvilleRape -fig:fbiHierarchy -tab:nibrsHierarchy -fig:sfThefts -fig:chicagoMurder -fig:simpleIndex -fig:offensesAgenciesReporting -fig:murdersBothMeasures -fig:newarkMurders -fig:lapdClearance -fig:frankenmuthRape -fig:denverUnfounded -fig:rapePhilly -fig:manslaughterVsMurder -fig:manslaughterPercent -fig:phillyHomeBurglaryCount -fig:PhillyBurglaryCost -fig:phillyHomeCostPerBurglary -fig:propertyAgencies -fig:agenciesInBoth -fig:theftByValue -fig:theftByValueCalifornia -fig:nycLivestock -fig:phillyFurValue -fig:romeConsumable -fig:arrestsAgenciesReporting -fig:phillyRapeAge -fig:phillyMarijuanaRacePercent -fig:phillyMarijuanaRaceCount -fig:theftHispanic -fig:theftHispanicPercentAgencies -fig:JuvenileReferrals -fig:JuvenileReferralsNoMichigan -fig:shrVsOffenses -fig:chicagoSHRvsOffensesKnown -fig:shrTopAgenciesCount -fig:shrTopAgenciesCountPercent -fig:numberSHRVictims -fig:numberSHROffenders -fig:shrOffenderAge -fig:shrVictimAge -fig:shrOffenderSex -fig:shrVictimSex -fig:shrOffenderRace -fig:shrVictimRace -fig:shrOffenderEthnicity -fig:shrVictimEthnicity -fig:ABQ -tab:shrWeapon -fig:shrRifle -fig:shrRiflePercent -tab:shrRelationship -tab:shrCircumstance -tab:shrSubCircumstance -fig:leokaAgencies -fig:leokaNationalEmployees -fig:leokaCivilianOfficers -fig:leokaOfficersGender -fig:leokaOfficersKilled -fig:leokaOfficersKilledNational -fig:leokaAssaultTypeInjury -fig:leokaAssaultsInjuryYear -fig:leokaAssaultCallType -fig:leokaDisturbanceWeapon -fig:leokaShiftAssignment -fig:phoenixAssaultTimes -fig:arsonAgencies -fig:arsonClearance -fig:residenceArson -fig:arsonCost -fig:hateAgencies -fig:hateCrimesEver -fig:hateCrimesPreviousYear -fig:hateCrimesMap -fig:statePercentReporting -fig:statePercentReportingPop -fig:hateCrimesByDay -fig:hateCrimesByMonthDay -tab:hateBiasMotivation -fig:crimesPerHateCrime -tab:hateOffense -tab:hateBiasOffense -tab:hateOffenseBias -tab:hateLocations -tab:hatelocationOffense -fig:hateCrimeOffenderRace -fig:hateCrimeOffenderNumber -fig:jewishIncidentVictim -fig:blackIncidentVictim -tab:countyMonthsReportedDefinitions -fig:countyAnyMonthReported -fig:stateMap2022 -fig:countyMap2022 -fig:countyMap2010 -fig:countyMap2000 -fig:countyImputation -tab:CountyPhillyMurders -tab:countyPhillyThefts -tab:countyDanvilleVehicle -tab:countyPhillyMurderMonthsMissing -tab:countyDanvilleBurglaryMonthsMissing -tab:countyMurderMonthsMissing -tab:countyPopulationGroupStatsNational -tab:countyPopulationGroupStats -tab:countyPopulationGroupStatsTexas -tab:countyPopulationGroupStatsMaine -fig:nibrsSegmentsAgencies -fig:nibrsAnnualNumberAgencies -fig:nibrsAnnualPercentPopulation -fig:nibrsStateParticipation2000 -fig:nibrsStateParticipation2010 -fig:nibrsStateParticipation2022 -fig:segmentFlowchart -fig:administrativeIncidentMonth -fig:administrativeMonthDayIncident -fig:administrativeMonthDayReport -fig:administrativeHours -fig:nibrsAdministrativeHours -tab:nibrsAdministrativeCommonHours -fig:administrativeExceptionalClearances -fig:nibrsAdministrativeClearance -fig:administrativeOffenseSegments -fig:nibrsAdministrativeNumberOffense -fig:administrativeOffenderSegments -fig:nibrsAdministrativeNumberOffender -fig:administrativeVictimSegments -fig:nibrsAdministrativeNumberVictim -fig:administrativeArresteeSegments -fig:administrativeArrestsAny -fig:nibrsAdministrativeNumberArrestee -tab:offenseCrimeCategories -tab:offenseCrimeSubcategories -tab:offensesCompleted -fig:nibrsOffenseCompleted -fig:offenseDrugAlcoholComputer -fig:offenseDrugAlcoholComputerAny -tab:offenseLocation -tab:offenseWeapon -fig:nibrsMurdersWeapon -fig:offenseAutomaticWeapon -fig:offensePremisesEntered -fig:nibrsBurglaryForce -tab:offenseBiasMotivation -tab:offenseBiasMotivationBiases -tab:offenseBiasOffense -fig:nibrsOffenseBias -fig:offenderAge -fig:nibrsOffenderAge -fig:nibrsOffenderAgeMissing -fig:nibrsOffenderSex -fig:nibrsOffenderRace -fig:nibrsOffenderEthnicity -tab:victimCrimeCategory -fig:nibrsFirstVsAllOffensesMurders -tab:victimType -fig:nibrsVictimPercentIndividualOfficer -fig:victimInjury -tab:offenseCrimeInjury -fig:nibrsVictimAssaultInjury -tab:victimRelationship -tab:offenseVictimRelationship -tab:victimAggAssault -fig:victimJustifiableHomicide -fig:nibrsVictimResidentStatus -fig:nibrsVictimResidentStatusOfficer -fig:victimAge -fig:nibrsVictimAge -fig:nibrsVictimAgeMissing -fig:nibrsVictimSex -fig:nibrsVictimRace -fig:nibrsVictimEthnicity -tab:arresteeCrime -tab:GroupBarresteeCrime -fig:arrestsDaysUntilArrestBarplot -fig:nibrsArresteeMurderWeapon -tab:arresteeoffenseWeapon -fig:arresteeAutomaticWeapon -tab:arresteeoffenseArrestType -fig:arresteeJuvenileDisposition -fig:nibrsArresteeResidentStatus -fig:arresteeAge -fig:nibrsArresteeAge -fig:nibrsArresteeAgeMissing -fig:nibrsArresteeSex -fig:nibrsArresteeRace -fig:nibrsArresteeEthnicity -fig:propertyTypeLoss -tab:propertyStolenDescription -fig:propertyValuePropertyLevel -tab:nibrsPropertyStolenValue -fig:nibrsPropertyMaxValuePercent -fig:propertyDaysUntilRecovered -tab:propertyDrugs -fig:nibrsPropertyDrugType -fig:propertyMarijuanaGramMeasures -preface -goal-of-the-book -structure-of-the-book -citing-this-book -recommended-reading -how-to-contribute-to-this-book -ori -the-data-as-you-get-it-from-the-fbi -common-issues -population -voluntary -zero-crimes-vs-no-reports -agency-data-covered-by-another-agency -SRSGeneral -crimes-included-in-the-srs-datasets -a-summary-of-each-srs-dataset -offenses-known-and-clearances-by-arrest-1960---present -arrests-by-age-sex-and-race-1974---present -law-enforcement-officers-killed-and-assaulted-leoka-1960---present -supplementary-homicide-reports-shr -hate-crime-data-1991---present -property-stolen-and-recovered-supplement-to-return-a-1960---present -arson-1979---present -offensesKnown -indexCrimesOffensesKnown -hierarchy -indexCrimes -what-is-a-violent-crime -offensesKnownReporting -negative-numbers -important-variables -actual -clearedCrimes -crimes-cleared-where-all-offenders-are-under-18-years-old -unfounded -important-changes -rape-definition-change -the-decline-of-manslaughter -stolen_property -agencies-reporting -important-variables-1 -propertycount -the-value-of-property-stolen -value-of-recovered-property-by-type-of-item-stolen -data-errors -arrests -agencies-reporting-1 -what-is-an-arrest-what-unit-is-this-data-in -the-hierarchy-rule -important-variables-2 -age -race -ethnicity -juvenile-referrals -shr -agencies-reporting-2 -important-variables-3 -demographics -age-1 -sex -race-1 -ethnicity-1 -case-characteristics -weapon-used -relationship-between-first-victim-and-offenders -circumstance -homicide-subcircumstance -leoka -agencies-reporting-3 -important-variables-4 -number-of-employees -officers-killed -assaults-by-injury-and-weapon -assaults-by-call-type -assaults-by-time -arsonChapter -agencies-reporting-4 -important-variables-5 -arsonType -actual-arsons -unfounded-arsons -reported-arsons -cleared-arsons -cleared-for-arsons-where-all-offenders-are-under-age-18 -uninhabited-building-arsons -estimated-damage-cost -data-errors-1 -hate_crimes -agencies-reporting-5 -treeOfLife -important-variables-6 -date-and-time -the-bias-motivation-who-the-hate-is-against -the-crime-that-occurred -the-location-of-the-crime -number-and-race-of-offenders -number-of-victims -county-level-data -current-usage -how-much-data-is-missing -current-imputation-practices -months-missing -months-missing-1 -nibrs-overview -problems-with-nibrs -nibrs-allows-for-different-units-of-analysis -which-agencies-report-data -crimes-included-in-nibrs -group-a-crimes -group-b-crimes -differences-from-srs-data -nibrs-does-not-have-unfounded-crimes -nibrs-does-not-have-negative-numbers -a-summary-of-each-segment-file -administrative-segment -offense-segment -offender-segment -victim-segment -arrestee-and-group-b-arrestee-segment -property-segment -window -administrative-segment-1 -the-incident-and-report-date -hour-of-incident -exceptional-clearance -number-of-other-segments -offense-segments -offender-segments -victim-segments -arrestee-segments -offenseSegment -crime-category -offense-subtype -offense-completed -drug-alcohol-or-computer-use -crime-location -offenseWeapons -automatic-weapons -burglary-info -hate-crime-indicator-bias-motivation -offender-segment-1 -demographics-1 -age-2 -sex-1 -race-2 -ethnicity-2 -victim-segment-1 -crime-category-1 -victim-type -injury -relationship-to-offender -aggravated-assault-and-homicide-circumstances -justifiable-homicide-circumstance -demographics-2 -residence-status -age-3 -sex-2 -race-3 -ethnicity-3 -arrestee -crimes-arrested-for -arrestee-segment-arrest-crimes -group-b-segment-arrest-crimes -arrest-date -weapons -automatic-weapons-1 -type-of-arrest -disposition-for-juvenile-arrestees -demographics-3 -residence-status-1 -age-4 -sex-3 -race-4 -ethnicity-4 -property -propertyLoss -description-of-property -value-of-stolen-property -date-property-was-recovered -drugs -suspected-drug-type -amount-of-drugs diff --git a/docs/ucrbook.pdf b/docs/ucrbook.pdf index 0abc16d..656b119 100644 Binary files a/docs/ucrbook.pdf and b/docs/ucrbook.pdf differ diff --git a/docs/ucrbook.tex b/docs/ucrbook.tex index 08e3c95..2725653 100644 --- a/docs/ucrbook.tex +++ b/docs/ucrbook.tex @@ -228,7 +228,7 @@ \title{Uniform Crime Reporting (UCR) Program Data: An Opinionated Guide to FBI Data} \author{Jacob Kaplan, Ph.D.} -\date{2024-10-06} +\date{2024-10-08} \begin{document} \maketitle diff --git a/index.Rmd b/index.Rmd index 1e50c8b..af34e06 100644 --- a/index.Rmd +++ b/index.Rmd @@ -48,7 +48,7 @@ knitr::opts_chunk$set( ```{r} nyc <- read_csv("data/New_York_New_York_City_Police_Department.csv") offenses_known_yearly <- readRDS("data/offenses_known_yearly_1960_2023.rds") -SRS_hate_crimes <- readRDS("data/ucr_hate_crimes_1991_2023.rds") +SRS_hate_crimes <- readRDS("data/hate_crimes_1991_2023.rds") batch_header_all_years <- readRDS("data/nibrs_summary_stats/batch_header_all_years.rds") ``` \pagenumbering{roman} diff --git a/tmp-pdfcrop-1538.log b/tmp-pdfcrop-1538.log new file mode 100644 index 0000000..fd92f4d --- /dev/null +++ b/tmp-pdfcrop-1538.log @@ -0,0 +1,14 @@ +This is pdfTeX, Version 3.141592653-2.6-1.40.26 (TeX Live 2024) (preloaded format=pdftex 2024.9.3) 8 OCT 2024 20:50 +entering extended mode + %&-line parsing enabled. +**tmp-pdfcrop-1538 +(./tmp-pdfcrop-1538.tex +Input file: 12_nibrs_administrative_files/figure-latex/nibrsAdministrativeNumberOffense-1.pdf +[1 <./12_nibrs_administrative_files/figure-latex/nibrsAdministrativeNumberOffense-1.pdf>] ) +Output written on tmp-pdfcrop-1538.pdf (1 page, 29274 bytes). +PDF statistics: + 23 PDF objects out of 1000 (max. 8388607) + 14 compressed objects within 1 object stream + 0 named destinations out of 1000 (max. 500000) + 6 words of extra memory for PDF output out of 10000 (max. 10000000) + diff --git a/ucrbook.Rmd b/ucrbook.Rmd index e6b811d..261c5d8 100644 --- a/ucrbook.Rmd +++ b/ucrbook.Rmd @@ -397,7 +397,7 @@ knitr::opts_chunk$set( ```{r} nyc <- read_csv("data/New_York_New_York_City_Police_Department.csv") offenses_known_yearly <- readRDS("data/offenses_known_yearly_1960_2023.rds") -SRS_hate_crimes <- readRDS("data/ucr_hate_crimes_1991_2023.rds") +SRS_hate_crimes <- readRDS("data/hate_crimes_1991_2023.rds") ``` # (PART) Welcome {-} diff --git a/ucrbook.log b/ucrbook.log index a56b381..acc3bdc 100644 --- a/ucrbook.log +++ b/ucrbook.log @@ -1,4 +1,4 @@ -This is XeTeX, Version 3.141592653-2.6-0.999996 (TeX Live 2024) (preloaded format=xelatex 2024.9.3) 6 OCT 2024 23:14 +This is XeTeX, Version 3.141592653-2.6-0.999996 (TeX Live 2024) (preloaded format=xelatex 2024.9.3) 8 OCT 2024 21:12 entering extended mode restricted \write18 enabled. %&-line parsing enabled. diff --git a/ucrbook.md b/ucrbook.md index 875ebcc..88e8c2b 100644 --- a/ucrbook.md +++ b/ucrbook.md @@ -41,16 +41,24 @@ UCR data is important for three reasons: More than many other datasets, there will be times when using UCR data that you will think "that is weird". This book will cover this weirdness and when we think the weirdness is just an odd - but acceptable - quirk of the data, and when it is a sign of a big problem in the data or in that particular variable and that we should avoid using it. For most of this book we will be discussing the caveats of the above reasons - or, more directly, why these assumptions are wrong - but these are the reasons why the data is so influential. -
-The annual percent of the United States population that is covered by an agency reporting data to NIBRS. -

(\#fig:nibrsAnnualPercentPopulationIndex)The annual percent of the United States population that is covered by an agency reporting data to NIBRS.

-
+\begin{figure} +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/nibrsAnnualPercentPopulationIndex-1} -
-The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2023 (using 2022 ACS 5-year Census data). -

(\#fig:nibrsStateParticipation2020Index)The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2023 (using 2022 ACS 5-year Census data).

-
+} + +\caption{The annual percent of the United States population that is covered by an agency reporting data to NIBRS.}(\#fig:nibrsAnnualPercentPopulationIndex) +\end{figure} + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/nibrsStateParticipation2020Index-1} + +} + +\caption{The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2023 (using 2022 ACS 5-year Census data).}(\#fig:nibrsStateParticipation2020Index) +\end{figure} ## Goal of the book @@ -96,10 +104,14 @@ If you have any questions, suggestions (such as a topic to cover), or find any i For more minor issues like typos or grammar mistakes, you can edit the book directly through its GitHub page. That will make an update for me to accept, which will change the book to include your edit. To do that, click the edit button at the top of the site - the button is highlighted in the below figure. You will need to make a GitHub account to make edits. When you click on that button you will be taken to a page that looks like a Word Doc where you can make edits. Make any edits you want and then scroll to the bottom of the page. There you can write a short (please, no more than a sentence or two) description of what you have done and then submit the changes for me to review. -
-The edit button for how to make edits of this book. -

(\#fig:unnamed-chunk-3)The edit button for how to make edits of this book.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{images/edit_button} + +} + +\caption{The edit button for how to make edits of this book.}(\#fig:unnamed-chunk-3) +\end{figure} Please only use the above two methods to contribute or make suggestions about the book. While it is a bit more work for you to do it this way, since you will need to make a GitHub account if you do not already have one, it helps me organize all the questions in one place and update the book if I decide to add answers to certain questions. @@ -115,10 +127,14 @@ When dealing with specific agencies, make sure to use the ORI rather than the ag We will finish this overview of the SRS data by briefly talking about format of the data that is released by the FBI, before the processing done by myself or [NACJD](https://www.icpsr.umich.edu/web/pages/NACJD/index.html) that converts the data to a type that software like R or Stata or Excel can understand. The FBI releases their data as fixed-width ASCII files which are basically just an Excel file but with all of the columns squished together. As an example, Figure \@ref(fig:SRSascii) shows what the data looks like as you receive it from the FBI for the Offenses Known and Clearances by Arrest dataset for 1960, the first year with data available. In the figure, it seems like there are multiple rows but that is just because the software that I opened the file in is not wide enough - in reality what is shown is a single row that is extremely wide because there are over 1,500 columns in this data. If you scroll down enough you will see the next row, but that is not shown in the current image. What is shown is a single row with a ton of columns all pushed up next to each other. Since all of the columns are squished together (the gaps are just blank spaces because the value there is a space, but that does not mean there is a in the data. Spaces are possible values in the data and are meaningful), you need some way to figure out which parts of the data belong in which column. -
-Fixed-width ASCII file for the 1991 National Incident-Based Reporting System (NIBRS) dataset. -

(\#fig:ascii)Fixed-width ASCII file for the 1991 National Incident-Based Reporting System (NIBRS) dataset.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{images/nibrs_ascii} + +} + +\caption{Fixed-width ASCII file for the 1991 National Incident-Based Reporting System (NIBRS) dataset.}(\#fig:ascii) +\end{figure} The "fixed-width" part of the file type is how this works (the ASCII part basically means it is a text file). Each row is the same width - literally the same number of characters, including blank spaces. So you must tell the software you are using to process this file - by literally writing code in something called a "setup file" but is basically just instructions for whatever software you use (R, SPSS, Stata, SAS can all do this) - which characters are certain columns. For example, in this data the first character says which type of SRS data it is (1 means the Offenses Known and Clearances by Arrest data) and the next two characters (in the setup file written as 2-3 since it is characters 2 through 3 [inclusive]) are the state number (01 is the state code for Alabama). So we can read this row as the first column indicating it is an Offenses Known data, the second column indicating that it is for the state of Alabama, and so on for each of the remaining columns. To read in this data you will need a setup file that covers every column in the data (some software, like R, can handle just reading in the specific columns you want and do not need to include every column in the setup file). @@ -146,17 +162,25 @@ The population value is the population who reside in that jurisdiction and does When an agency reports their data to the FBI, they do so voluntarily - there is no national requirement to report.^[Some states do mandate that their agencies report, but this is not always followed.] This means that there is inconsistency in which agencies report, how many months of the year they report for, and which variables they include in their data submissions. -
-The annual number of police agencies that report data to NIBRS. -

(\#fig:nibrsAnnualNumberAgenciesIndex)The annual number of police agencies that report data to NIBRS.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/nibrsAnnualNumberAgenciesIndex-1} + +} + +\caption{The annual number of police agencies that report data to NIBRS.}(\#fig:nibrsAnnualNumberAgenciesIndex) +\end{figure} In general, more agencies report their data every year and once an agency begins reporting data they tend to keep reporting. The SRS datasets are a collection of separate, though related, datasets and an agency can report to as many of these datasets as they want - an agency that reports to one dataset does not mean that they report to other datasets. Figure \@ref(fig:SRSagenciesReporting) shows the number of agencies that submitted at least one month of data to the Offenses Known and Clearances by Arrest data in the given year. For the first decade of available data under 8,000 agencies reported data and this grew to over 13,500 by the late 1970s before plateauing for about a decade. The number of agencies that reported their data actually declined in the 1990s, driven primarily by many Florida agencies temporarily dropping out, before growing steadily to nearly 17,000 agencies in 2010; from here it kept increasing but slower than before. -
-The annual number of agencies reporting to the Offenses Known and Clearances by Arrest dataset. Reporting is based on the agency reporting at least one month of data in that year. -

(\#fig:SRSagenciesReporting)The annual number of agencies reporting to the Offenses Known and Clearances by Arrest dataset. Reporting is based on the agency reporting at least one month of data in that year.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/SRSagenciesReporting-1} + +} + +\caption{The annual number of agencies reporting to the Offenses Known and Clearances by Arrest dataset. Reporting is based on the agency reporting at least one month of data in that year.}(\#fig:SRSagenciesReporting) +\end{figure} There are approximately 18,000 police agencies in the United States so recent data has reports from nearly all agencies, while older data has far fewer agencies reporting. When trying to estimate to larger geographies, such as state or national-level, later years will be more accurate as you are missing less data. For earlier data, however, you are dealing with a smaller share of agencies meaning that you have a large amount of missing data and a less representative sample. @@ -164,33 +188,49 @@ There are approximately 18,000 police agencies in the United States so recent da This voluntariness extends beyond whether they report or not, but into which variables they report. While in practice most agencies report every crime when they report any, they do have the choice to report only a subset of offenses. This is especially true for subsets of larger categories - such as gun assaults, a subset of aggravated assaults, or marijuana possession arrests which is a subset of drug possession arrests. As an example, Figure \@ref(fig:nycGunAssaults) shows the annual number of aggravated assaults with a gun in New York City. In 2003 the New York Police Department stopped reporting this category of offense, resuming only in 2013. They continued to report the broader aggravated assault category, but not any of the subsections of aggravated assaults which say which weapon was used during the assault. -
-Monthly reports of gun assaults in New York City, 1960-2023. -

(\#fig:nycGunAssaults)Monthly reports of gun assaults in New York City, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/nycGunAssaults-1} + +} + +\caption{Monthly reports of gun assaults in New York City, 1960-2023.}(\#fig:nycGunAssaults) +\end{figure} Given that agencies can join or drop out of the SRS program at will, and report only partial data, it is highly important to carefully examine your data to make sure that there are no issues caused by this. Even when an agency reports SRS data, and even when they report every crime category, they can report fewer than 12 months of data. In some cases they simply report all of their data in December, or report quarterly or semi-annually so some months have zero crimes reported while others count multiple months in that month's data. One example of this is New York City, shown in Figure \@ref(fig:nycMurderMonthly), in the early-2000s to the mid-2010s where they began reporting data quarterly instead of monthly. -
-Monthly murders in New York City, 1990-2023. During the 2000s, the police department began reporting quarterly instead of monthly and then resumed monthly reporting. -

(\#fig:nycMurderMonthly)Monthly murders in New York City, 1990-2023. During the 2000s, the police department began reporting quarterly instead of monthly and then resumed monthly reporting.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/nycMurderMonthly-1} + +} + +\caption{Monthly murders in New York City, 1990-2023. During the 2000s, the police department began reporting quarterly instead of monthly and then resumed monthly reporting.}(\#fig:nycMurderMonthly) +\end{figure} When you sum up each month into an annual count, as shown in Figure \@ref(fig:nycMurderYearly), the problem disappears since the zero months are accounted for in the months that have the quarterly data. If you are using monthly data and only examine the data at the annual level, you will fall into the trap of having incorrect data that is hidden due to the level of aggregation examined. While cases like NYC are obvious when viewed monthly, for people that are including thousands of agencies in their data, it is unfeasible to look at each agency for each crime included. This can introduce errors as the best way to examine the data is manually viewing graphs and the automated method, looking for outliers through some kind of comparison to expected values, can be incorrect. -
-Annual murders in New York City, 1990-2023. -

(\#fig:nycMurderYearly)Annual murders in New York City, 1990-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/nycMurderYearly-1} + +} + +\caption{Annual murders in New York City, 1990-2023.}(\#fig:nycMurderYearly) +\end{figure} In other cases when agencies report fewer than 12 months of the year, they simply report partial data and as a result undercount crimes. Figure \@ref(fig:miamiDadeMurderAnnual) shows annual murders in Miami-Dade, Florida and has three years of this issue occurring. The first two years with this issue are the two where zero murders are reported - this is because the agency did not report any months of data. The final year is in 2018, the last year of data in this graph, where it looks like murder suddenly dropped significantly. That is just because Miami-Dade only reported through June, so they are missing half of 2018. -
-Annual murders in Miami-Dade, Florida, 1960-2023. -

(\#fig:miamiDadeMurderAnnual)Annual murders in Miami-Dade, Florida, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/miamiDadeMurderAnnual-1} + +} + +\caption{Annual murders in Miami-Dade, Florida, 1960-2023.}(\#fig:miamiDadeMurderAnnual) +\end{figure} ### Zero crimes vs no reports @@ -201,10 +241,14 @@ In some cases it is easy to see when a zero crimes reported is actually the agen Differentiating zero crimes and no reports becomes tricky in agencies that tend to report few crimes, which most small towns do. As an example, Figure \@ref(fig:danvilleRape) shows the annual reports of rape in Danville, California, a city of approximately 45,000 people. The city reports on average 2.8 rapes per year and in five years reported zero rapes. In cases like this it is not clear whether we should consider those zero years as true zeros (that no one was raped or reported their rape to the police) or whether the agency simply did not report rape data that year. -
-Annual rapes reported in Danville, CA, 1960-2023. -

(\#fig:danvilleRape)Annual rapes reported in Danville, CA, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{index_files/figure-latex/danvilleRape-1} + +} + +\caption{Annual rapes reported in Danville, CA, 1960-2023.}(\#fig:danvilleRape) +\end{figure} ### Agency data covered by another agency @@ -359,56 +403,43 @@ In practice, the Hierarchy Rule has only modest effects on the data, undercounti The FBI released a report [available here](https://ucr.fbi.gov/nibrs/2014/resource-pages/effects_of_nibrs_on_crime_statistics_final.pdf) in 2015 that directly examined this issue by taking NIBRS data from 2014 and examined how NIBRS data (which does not use the Hierarchy Rule) compares to using the Hierarchy Rule and keeping only the most serious crime. Figure \@ref(fig:fbiHierarchy) is a screenshot from their report showing the percent increases in crimes when including all crimes in an incident relative to following the Hierarchy Rule. They find that 10.6% of incidents have multiple crimes occurring. For violent crime, murder and rape have no change; for the remaining violent crimes - robbery and aggravated assault - crimes increased by 0.6%.^[Murder is not shown in this figure since murder is always reported so cannot change.] Burglary increased by 1% and the largest increases came from theft and motor vehicle theft, increasing by 2.6% and 2.7%, respectively. Curiously, motor vehicle theft increased even though the FBI's documentation for this data says that it is exempt from the Hierarchy Rule and should always be reported. This discrepancy suggests either non-compliance or errors in the FBI's manual. -
-The FBI's findings of how crime reporting changes when using the Hierarchy Rule using NIBRS 2014 data. -

(\#fig:fbiHierarchy)The FBI's findings of how crime reporting changes when using the Hierarchy Rule using NIBRS 2014 data.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{images/fbi_hierarchy} + +} + +\caption{The FBI's findings of how crime reporting changes when using the Hierarchy Rule using NIBRS 2014 data.}(\#fig:fbiHierarchy) +\end{figure} In Table \@ref(tab:nibrsHierarchy) I replicate the FBI's table using NIBRS 2022 data. Results are fairly close. Homicide and rape and unchanged; robbery and aggravated assault both increase by <1%; my count for theft and burglary are a bit smaller, and motor vehicle theft is almost triple the FBI's 2014 number. But these numbers are mostly consistent - particularly so for violent crime - and I expect the differences are just that 2014 and 2022 data are different. So using the Hierarchy Rule does undercount crime, but this is a small undercounting and is primarily led by property crime. Violent crime is only slightly undercounted. And compared to the number of crimes not counted because the victim does not reports it to the police, this is a very small share of crimes. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:nibrsHierarchy)The percent increase in reported crimes for each index crime if the Hierarchy Rule was not used, NIBRS 2022.
Crime % increase without Hierarchy Rule
Homicide 0.00
Rape 0.01
Robbery 0.48
Aggravated Assault 0.78
Burglary 1.69
Theft 1.40
Motor Vehicle Theft 7.12
Arson 7.33
+ +\begin{longtable}[t]{ll} +\caption{(\#tab:nibrsHierarchy)The percent increase in reported crimes for each index crime if the Hierarchy Rule was not used, NIBRS 2022.}\\ +\toprule +Crime & \% increase without Hierarchy Rule\\ +\midrule +\endfirsthead +\caption[]{(\#tab:nibrsHierarchy)The percent increase in reported crimes for each index crime if the Hierarchy Rule was not used, NIBRS 2022. \textit{(continued)}}\\ +\toprule +Crime & \% increase without Hierarchy Rule\\ +\midrule +\endhead + +\endfoot +\bottomrule +\endlastfoot +Homicide & 0.00\\ +Rape & 0.01\\ +Robbery & 0.48\\ +Aggravated Assault & 0.78\\ +Burglary & 1.69\\ +\addlinespace +Theft & 1.40\\ +Motor Vehicle Theft & 7.12\\ +Arson & 7.33\\* +\end{longtable} @@ -418,17 +449,25 @@ One of the first things that people tend to learn about SRS crime data is that i The biggest problem with index crimes is that it is simply the sum of 8 (or 7 since arson data usually isn’t included) crimes. Index crimes have a huge range in their seriousness - it includes, for example, both murder and theft - so summing up the crimes gives each crime equal weight. This approach is flawed as 100 murders is more serious than 100 thefts. This is especially a problem as less serious crimes (theft mostly) are far more common than more serious crimes. In 2017, for example, there were 1.25 million violent index crimes in the United States. That same year had 5.5 million thefts. So using index crimes as your measure of crimes fails to account for the seriousness of crimes. Looking at total index crimes is, in effect, mostly just looking at theft. Looking at violent index crimes alone mostly measures aggravated assault. This is especially a problem because it hides trends in violent crimes. As an example, San Francisco, shown in Figure \@ref(fig:sfThefts), has had a huge increase - about 50% - in index crimes in the last several years. When looking closer, that increase is driven almost entirely by the near doubling of theft since 2011. During the same years, index violent crimes have stayed fairly steady. So the city isn’t getting more dangerous - at least not in terms of violent index crimes increasing - but it appears like it is due to just looking at total index crimes. -
-Thefts and total index crimes in San Francisco, 2000-2023. -

(\#fig:sfThefts)Thefts and total index crimes in San Francisco, 2000-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/sfThefts-1} + +} + +\caption{Thefts and total index crimes in San Francisco, 2000-2023.}(\#fig:sfThefts) +\end{figure} Many researchers divide index crimes into violent and nonviolent categories, which helps but even this is not entirely sufficient. Take Chicago as an example. It is a city infamous for its large number of murders. But as a fraction of index crimes, Chicago has a rounding error worth of murders. Their 653 murders in 2017 is only 0.5% of total index crimes. For violent index crimes, murder made up 2.2% of crimes that year. As seen in Figure \@ref(fig:chicagoMurder), in no year where data is available did murders account for more than 3.5% of violent index crimes; and, while murders are increasing as a percent of violent index crimes they still account for no more than 2.5% in most recent years. What this means is that changes in murder are very difficult to detect. If Chicago had no murders this year, but a less serious crime (such as theft) increased slightly, we could not tell from looking at the number of index crimes, even from violent index crimes. As discussed in the below section, using this sample of crimes as the primary measure of crimes - and particularly of violent crimes - is also misleading as it excludes important - and highly common relative to index crimes - offenses, such as simple assault. -
-Murders in Chicago as a percent of violent index crimes, 1960-2023. -

(\#fig:chicagoMurder)Murders in Chicago as a percent of violent index crimes, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/chicagoMurder-1} + +} + +\caption{Murders in Chicago as a percent of violent index crimes, 1960-2023.}(\#fig:chicagoMurder) +\end{figure} #### What is a violent crime? @@ -443,10 +482,14 @@ The final reason is that it benefits some people's goals to classify violent cri As an example of this last point, Figure \@ref(fig:simpleIndex) shows the number of violent index crimes and simple assaults each year from 1960 to 2018 in Houston, Texas (simple assault is not reported in SRS until 1964, which is why 1960-1963 show zero simple assaults). In every year where simple assault is reported, there are more simple assaults than aggravated assaults. Beginning in the late 1980s, there are also more simple assaults than total violent index crimes. Excluding simple assault from being a violent crime greatly underestimates violence in the country. -
-Reported crimes in Houston, Texas, from 1960 to 2018. Violent index crimes are aggravated assault, rape, robbery, and murder. -

(\#fig:simpleIndex)Reported crimes in Houston, Texas, from 1960 to 2018. Violent index crimes are aggravated assault, rape, robbery, and murder.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/simpleIndex-1} + +} + +\caption{Reported crimes in Houston, Texas, from 1960 to 2018. Violent index crimes are aggravated assault, rape, robbery, and murder.}(\#fig:simpleIndex) +\end{figure} @@ -458,10 +501,14 @@ There are actually two lines throughout this entire figure, though they are near In the data there are 12 columns - one for each month - that says whether the agency reported data in that month. That is what I use in the green line to measure how many months of data that agency reported. I refer to this in the figure and in the data I have released as the "number of months missing." When looking at agencies reporting only a single month the lines are nearly identical, though the last month reported measure is nearly always larger. This changes in 2018 as a result of the data changing, meaning I needed to use different columns to check starting in that year. That means that post-2018 data may not be comparable to 2018 and earlier using this variable. -
-The annual number of agencies reporting at least one month of data and a full 12 months of data, 1960-2023. -

(\#fig:offensesAgenciesReporting)The annual number of agencies reporting at least one month of data and a full 12 months of data, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/offensesAgenciesReporting-1} + +} + +\caption{The annual number of agencies reporting at least one month of data and a full 12 months of data, 1960-2023.}(\#fig:offensesAgenciesReporting) +\end{figure} Usually when you are looking at crime data you want annual data, so having agencies report a full year's of data is more important than them submitting just partial data. This is especially important when comparing an agency over time or two different agencies to each other. Obviously, an agency with 6 month of data will have fewer crimes reported than one with 12 months reported, all else being equal. But this is something easy to overlook as it is an easy assumption that agencies will report a full years-worth of data. Unfortunately, this is always true. Some agencies do not report any data and others report only part of the year - though if an agency reports one month they usually do report all 12. Figure \@ref(fig:offensesAgenciesReportingFull) repeats Figure \@ref(fig:offensesAgenciesReporting) but now showing only agencies reporting 12 months of data, using both of our measures. Since 1960 every year has had fewer agencies reporting full data using the "number of months missing" method than the "last month reported" method. @@ -475,10 +522,14 @@ Negative values occur when the unfounding happens in a later month than the crim So using the far more common last month reported method will overestimate how many agencies report a full year of data. In practice, though, this affects very little data and what it does affect is only overcounted very slightly. At least when aggregating nationally - which I generally advise against since local crime matters a lot more than national averages. Still, let us look the increase in the total number of crimes reported by 12-month reporting agencies increases from the "number of months missing" measure to the "last month reported" measure, shown in Figure \@ref(fig:murdersBothMeasures). The answer is an extremely small increase, averaging (mean = 0.93%, mean = 1.26%) about a one percent point increase each year. The differences in measuring how many months are reported can matter a great deal at the agency-level, but does very little when aggregating nationally. -
-The percent change in the number of murders reported in the United States each year when moving from the number of months missing measure to the last month reported measure, 1960-2020. -

(\#fig:murdersBothMeasures)The percent change in the number of murders reported in the United States each year when moving from the number of months missing measure to the last month reported measure, 1960-2020.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/murdersBothMeasures-1} + +} + +\caption{The percent change in the number of murders reported in the United States each year when moving from the number of months missing measure to the last month reported measure, 1960-2020.}(\#fig:murdersBothMeasures) +\end{figure} ## Important variables @@ -492,10 +543,14 @@ Crimes that are reported that the police find did not occur (e.g. report of an a Figure \@ref(fig:newarkMurders), for example, shows the number of murders per 100,000 population in Newark, NJ, for 1960-2023. One things stands out. Or does not stand out, in a bad way. Newark Police did not report a full year of data in 2015; they reported only 11 months. It is imperceptible in the figure but if you look at the number of months reported in that year - using either the last month reported or the number of months missing measure - you can see that December is missing. While visualizing the data is often a good way to look for outliers or missingness, it is not enough alone. You need to look at the raw data as well to be safe. -
-The annual murder rate per 100,000 people in Newark, NJ, 1960-2023. -

(\#fig:newarkMurders)The annual murder rate per 100,000 people in Newark, NJ, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/newarkMurders-1} + +} + +\caption{The annual murder rate per 100,000 people in Newark, NJ, 1960-2023.}(\#fig:newarkMurders) +\end{figure} Since this is the number of crimes reported and found to occurred, it undercounts the total number of reported crimes. To get that number you will need to add actual crimes to unfounded crimes, which we discuss in Section \@ref({unfounded}). However, unfounded crimes are increasingly not being reported as agencies move to NIBRS reporting which does not capture unfounded crimes. @@ -514,10 +569,14 @@ This means that there are occasionally months - and even years - where there are This is actually a good check to see when people who use this data do not actually understand how it works. I have seen published academic papers that say that having more clearances than actual crimes is a data error; clearly they declined to read the official manual (or this book) before they, their editor, and their anonymous reviewers published the paper. -
-The annual number of actual and cleared murders from the Los Angeles Police Department, 1960-2023. -

(\#fig:lapdClearance)The annual number of actual and cleared murders from the Los Angeles Police Department, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/lapdClearance-1} + +} + +\caption{The annual number of actual and cleared murders from the Los Angeles Police Department, 1960-2023.}(\#fig:lapdClearance) +\end{figure} ### Crimes cleared where all offenders are under 18 years old @@ -533,18 +592,26 @@ Other unfounded crimes would include when someone reports a crime but later says Figure \@ref(fig:frankenmuthRape) provides one example of this by showing the number of burglaries that the Frankenmuth Police, MI, say actually occurred from 1960-2023. In 1977 they reported -1 burglaries, the result of having more cleared than actual burglaries in that year. -
-The number of actual burglaries reported by the Frankenmuth Police Department, MI, 1960-2023. -

(\#fig:frankenmuthRape)The number of actual burglaries reported by the Frankenmuth Police Department, MI, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/frankenmuthRape-1} + +} + +\caption{The number of actual burglaries reported by the Frankenmuth Police Department, MI, 1960-2023.}(\#fig:frankenmuthRape) +\end{figure} While this is a useful variable, it is not captured in NIBRS data. Instead the number of unfounded crimes is always reported as zero. For example, Figure \@ref(fig:denverUnfounded) shows the annual number of unfounded crimes (of any crime type) in Memphis, TN, and Denver, CO, which are two of the earliest large agencies to adopt NIBRS. Memphis started in reporting to NIBRS in 2000 and Denver did so in 2005. These agencies stopped reporting any unfounded crimes either in that or the following year.^[For Memphis, as agencies can report both SRS and NIBRS, that agency may have reported both in 2000 which is why we still see unfounded data that year.] -
-The annual number of unfounded crimes in Denver, CO, 1983-2023. -

(\#fig:denverUnfounded)The annual number of unfounded crimes in Denver, CO, 1983-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/denverUnfounded-1} + +} + +\caption{The annual number of unfounded crimes in Denver, CO, 1983-2023.}(\#fig:denverUnfounded) +\end{figure} ## Important changes @@ -563,10 +630,14 @@ As this revised definition is broader than the original one post-2013, rape data We will start with the Philadelphia Police Department shown in Figure \@ref(fig:rapePhilly). It is declining slowly but steadily over the 2000-2012 time period until spiking sharply in 2013. Since the rape definition change in 2013 is far broader than previous year's definition, this makes sense. A broader definition should lead to a sudden increase in reported rapes if the agency is reporting correctly. -
-The annual number of rapes reported in Philadelphia, San Francisco, New York City, and Jackson, MS, 2005-2019. -

(\#fig:rapePhilly)The annual number of rapes reported in Philadelphia, San Francisco, New York City, and Jackson, MS, 2005-2019.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/rapePhilly-1} + +} + +\caption{The annual number of rapes reported in Philadelphia, San Francisco, New York City, and Jackson, MS, 2005-2019.}(\#fig:rapePhilly) +\end{figure} In comparison, New York City has the sudden spike a year later, which indicates that they did not start using the new definition until 2014. Figure \@ref(fig:rapeNYC) shows that rape is fairly steady, though increasing, in the years leading up to 2013 and has almost no change from 2012 to 2013, but a huge increase in 2014 and then steadily increases from there, spiking again in 2018. This seems like a fairly clear indicator that NYC simply did not follow the new definition until 2014. @@ -584,19 +655,27 @@ This data contains two different crime subcategories for homicide: "murder and n Figure \@ref(fig:manslaughterVsMurder) shows the annual number of murders, manslaughters, and the sum of the two nationwide from 1960-2023. This just sums up the total reported counts from every agency each year so part of the increase is simply due to more agencies reporting as the year gets closer to the present day - so please pay attention to the diverging paths of each crime, not the trend for the individual crime over time. Murder is always more common than manslaughter, but these values are not that far apart in the early decade of data and manslaughter does not become rare until the end of the 1970s. -
-The annual number of murder and non-negligent manslaughter, manslaughter by negligence, and the sum of the two, nationwide from 1960-2023. -

(\#fig:manslaughterVsMurder)The annual number of murder and non-negligent manslaughter, manslaughter by negligence, and the sum of the two, nationwide from 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/manslaughterVsMurder-1} + +} + +\caption{The annual number of murder and non-negligent manslaughter, manslaughter by negligence, and the sum of the two, nationwide from 1960-2023.}(\#fig:manslaughterVsMurder) +\end{figure} Figure \@ref(fig:manslaughterPercent) shows another way to look at this data: manslaughter as a percent of reported murder. In the early years of our data manslaughter was fairly common, with about 70-80% as many manslaughters reported as murders. This declined sharply in the mid-1960s until there were around 45% as many manslaughters as murders in the mid-1970s. Again, this declined until it was about 4% in 1980, and it has remained around there ever since. As police behavior could reduce traffic fatalities - and arrests for DUIs and traffic tickets are designed to improve public safety - it is unfortunate the we no longer have data on traffic deaths. Manslaughter increased to over 1,000 for the first time since 1978 in 2020, increased against to over 1,700 in 2021 and continued at around that number in 2022. This is possibly related to the increase in murders over the last few years of available data. Unfortunately, this dataset does not allow us to do almost anything at figuring out more information than monthly or annual counts. NIBRS, in comparison, allows us to do this kind of deep dive, and for curious readers NIBRS also has manslaughter so you can investigate this question yourself. -
-Reported manslaughter by negligence as a percent of reported murder and non-negligent manslaughter, nationwide 1960-2023. -

(\#fig:manslaughterPercent)Reported manslaughter by negligence as a percent of reported murder and non-negligent manslaughter, nationwide 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{03_offenses_known_files/figure-latex/manslaughterPercent-1} + +} + +\caption{Reported manslaughter by negligence as a percent of reported murder and non-negligent manslaughter, nationwide 1960-2023.}(\#fig:manslaughterPercent) +\end{figure} @@ -617,28 +696,40 @@ Before getting into the details of this data, let us look at one example of how In this case, 2019-2021 data are all partial-year reports, with only 9, 4, and 9 months, respectively, reported for these years. Every previous year other than 1974, 1975, 1988, and 1989^[1974 had11 months, 1975 had 9 months, 1988 had 10 months, and 1989 had 11 months of data.] had a full 12-months of data reported. So it makes sense the 2019-2021 had fewer crimes if they only submitted data for part of the year. This is something that is pretty obvious - you cannot compare 12 months of data with <12 months of data - but it is a common mistake so you should check how many months are reported every time you compare multiple years. -
-The annual number of daytime home burglaries reported in Philadelphia, PA, 1960-2023. -

(\#fig:phillyHomeBurglaryCount)The annual number of daytime home burglaries reported in Philadelphia, PA, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/phillyHomeBurglaryCount-1} + +} + +\caption{The annual number of daytime home burglaries reported in Philadelphia, PA, 1960-2023.}(\#fig:phillyHomeBurglaryCount) +\end{figure} When considering the cost of crime, we also want to know the actually monetary cost of that incident. Figure \@ref(fig:PhillyBurglaryCost) measures this cost of crime by showing the annual value of the property stolen for daytime home burglaries in Philadelphia. The years without 12 months of data are excluded from the figure. Like many variables in this dataset, there is no reported crime value until 1964, so the data shows a value of 0 from 1960-1963. The trend here is different than the previous graph which showed movement in the number of burglaries but not major trend changes until the 2010s; here is a steady increase over the long term, though with varying speed of increase, until it peaked in the late 2000s/early 2010s before declining substantially in recent years. While the number of burglaries peaked in the early 1980s, the total value of burglaries did not peak until the early 2010s, so the cost of this crime (even this very narrow measure of cost) cannot be ascertained from knowing the number of burglaries alone. From this measure we can say that daytime home burglaries were worse in the early 2010s and are substantially better currently. -
-The total annual cost of daytime home burglaries in Philadelphia. -

(\#fig:PhillyBurglaryCost)The total annual cost of daytime home burglaries in Philadelphia.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/PhillyBurglaryCost-1} + +} + +\caption{The total annual cost of daytime home burglaries in Philadelphia.}(\#fig:PhillyBurglaryCost) +\end{figure} The final way we can measure daytime home burglaries is to put the previous variables together to look at the cost per burglary. This will give us the average amount of property stolen from each burglary victim. Figure \@ref(fig:phillyHomeCostPerBurglary) shows the average cost per burglary for each year of data available. Now we have a different story than the other graphs. Even though the number of daytime home burglaries declined substantially over the last decade and the total cost is around the level seen in the 1980s, the cost per burglary remains high in recent years, though down from the peak in the mid-2010s. This suggests that while burglaries are down, the burden on each burglary victim has continued to grow. A perhaps obvious issue here is that we have no way to determining how much outliers are affecting results. If one year has, for example, a home burglary where \$10 million worth of jewelry is stolen then that year's total value of property stolen would be much higher just due to a single burglary. There is, unfortunately, no way to handle this in this dataset, though NIBRS has similar data which does allow you to check for outliers.^[Having an outlier, as long as it is not just a data entry error, should not necessarily mean you remove it. If we removed rare events after all we would have to drop murders from our data as murders are very uncommon crimes.] -
-The annual cost per burglary for daytime home burglaries in Philadelphia, 1960-2023.The annual cost per burglary for daytime home burglaries in Philadelphia, 1960-2023. -

(\#fig:phillyHomeCostPerBurglary)The annual cost per burglary for daytime home burglaries in Philadelphia, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/phillyHomeCostPerBurglary-1} \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/phillyHomeCostPerBurglary-2} + +} + +\caption{The annual cost per burglary for daytime home burglaries in Philadelphia, 1960-2023.}(\#fig:phillyHomeCostPerBurglary) +\end{figure} Part of this - and part of the long-term increase seen in Figure \@ref(fig:PhillyBurglaryCost) - is simply due to inflation. A dollar in 1964, the first year we have data on the value of burglaries, is worth \$9.84 in 2023, according to the Bureau of Labor Statistics.^[Based on June of both years] The values in this data are *not* adjusted for inflation so you need to do that adjustment yourself before any analyses, otherwise your results will be quite a bit off. When we adjust all values to 2023 dollars, as shown in Figure \@ref(fig:phillyHomeCostPerBurglaryInflation), the trend becomes changes a bit. There's still a steady increase in cost per burglary over time but it is far more gradual than in Figure \@ref(fig:phillyHomeCostPerBurglary). And now the difference from the cost in early years and late years are far smaller. @@ -646,17 +737,25 @@ Part of this - and part of the long-term increase seen in Figure \@ref(fig:Phill The data is available from 1960 to the present, though olders years of data have fewer variables reported. Figure \@ref(fig:propertyAgencies) show the number of agencies each year that reported at least one month during that year. In the first several years of data barely any agencies reported data and then it spiked around 1966 to over 6,000 agencies per year then grew quickly until over 12,000 agencies reported data in the late 1970s. From here it actually gradually declined until fewer than 12,000 agencies in the late 1990s before reversing course again and growing to about 15,000 agencies by 2019 - down several hundred agencies from the peak a few years earlier. We see the now-typical drop in 2021 as a result of the FBI's death of SRS and then the partial recovery in 2022 when SRS was reborn. The agencies that still reported in 2021 did so by reporting NIBRS data which the FBI converted to this format. -
-The annual number of police agencies that report at least month of data and 12 months of data that year. -

(\#fig:propertyAgencies)The annual number of police agencies that report at least month of data and 12 months of data that year.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/propertyAgencies-1} + +} + +\caption{The annual number of police agencies that report at least month of data and 12 months of data that year.}(\#fig:propertyAgencies) +\end{figure} Since this data is called the "Supplement to Return A" we would expect that the agencies that report here are the same as the ones that report to the Offenses Known and Clearances by Arrest data, which is also called the Return A dataset. Figure \@ref(fig:agenciesInBoth) shows the percent of agencies in this dataset that are report at least one month of Return A data. Except for the first several years of data in the 1960s, we can see that most years have nearly all agencies reporting to both, though this has declined slightly in recent years. Since the late 1970s, over 90% of agencies that report to the Offenses Known data also report to this dataset. -
-The percent of agencies in the Supplement to Return A data that report at least one month of data, and all 12 months of data, and are also in the Offenses Known and Clearances by Arrest (Return A) data in that year, 1960-2023. -

(\#fig:agenciesInBoth)The percent of agencies in the Supplement to Return A data that report at least one month of data, and all 12 months of data, and are also in the Offenses Known and Clearances by Arrest (Return A) data in that year, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/agenciesInBoth-1} + +} + +\caption{The percent of agencies in the Supplement to Return A data that report at least one month of data, and all 12 months of data, and are also in the Offenses Known and Clearances by Arrest (Return A) data in that year, 1960-2023.}(\#fig:agenciesInBoth) +\end{figure} When filtering the data to agencies that report a full 12 months of both the Return A and the Supplement to Return A, shown in Figure \@ref(fig:agenciesInBoth12Month), trends are quite similar to Figure \@ref(fig:agenciesInBoth) though now the average percent is around 75% rather than 90%. This translates to around 11k agencies though it drops starting in 2018 until fewer than 8,500 agencies report full data to both datasets in 2022. @@ -714,10 +813,14 @@ Theft is divided into two groups. The first group is based on the value of items The first group is a useful example of a problem in this data, which can be seen happening in 1974. In Figure \@ref(fig:theftByValue) we use data from all agencies in the United States that reported 12 months of data to see the share of the total value of thefts by the three value categories. Thefts of between \$50 and \$200 start as the most common at nearly 60% of thefts in 1960 and steadily decline to under 20% by 2022. Thefts of over \$200 increase steadily from about 28% of thefts in 1960 to almost 50% in 1973 and then drop to 16% in 1974. Then the share of thefts over \$200 slowly increases over time to end our data at over 55% of thefts. Thefts valued at under \$50 have a near mirror trend as over $200, starting at under 15% in 1960, declining a bit after that and then massively spiking to 49% in 1974 before starting a slow decline to 27% in 2022. -
-The annual breakdown in total theft value by the three value categories: less than \$50, \$50-\$199, and \$200 and over, among all agencies that reported 12 months of data in that year, 1960-2023. -

(\#fig:theftByValue)The annual breakdown in total theft value by the three value categories: less than \$50, \$50-\$199, and \$200 and over, among all agencies that reported 12 months of data in that year, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/theftByValue-1} + +} + +\caption{The annual breakdown in total theft value by the three value categories: less than \$50, \$50-\$199, and \$200 and over, among all agencies that reported 12 months of data in that year, 1960-2023.}(\#fig:theftByValue) +\end{figure} What caused this weird swap of the less than \$50 and at least \$200 values? Well, part of it is that different agencies report over time so year-to-year comparisons are not really appropriate. Even agencies that report every year may report only some months of data. But we corrected that by filtering the data shown in Figure \@ref(fig:theftByValue) to only agencies that reported 12 months of data. Unfortunately, even doing that is not sufficient, as we can see below. @@ -725,10 +828,14 @@ Figure \@ref(fig:theftByValueCalifornia) replicates Figure \@ref(fig:theftByValu Luckily in this case it was a fairly easy error to find - though I suspect that California is only part of the problem. But it reveals a broader issue with UCR data. The purpose of the data is that it is "Uniform," but we see that entire states can stop reporting certain data even when they say that they report data for all 12 months. Since UCR data is voluntary, agencies can report some, all, or none of the data, which makes it frustrating and time-consuming for researchers to ensure that the results in the data are real and not simply caused by reporting issues. -
-The annual breakdown in total theft value by the three value categories: less than \$50, \$50-\$199, and \$200 and over, among agencies in California that reported 12 months of data in that year, 1960-1980 -

(\#fig:theftByValueCalifornia)The annual breakdown in total theft value by the three value categories: less than \$50, \$50-\$199, and \$200 and over, among agencies in California that reported 12 months of data in that year, 1960-1980

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/theftByValueCalifornia-1} + +} + +\caption{The annual breakdown in total theft value by the three value categories: less than \$50, \$50-\$199, and \$200 and over, among agencies in California that reported 12 months of data in that year, 1960-1980}(\#fig:theftByValueCalifornia) +\end{figure} ### The value of property stolen @@ -835,10 +942,14 @@ Some of the stolen property include variables for both the number of items of th First, we will look at the value of livestock thefts in New York City. Livestock is one of the variables where we know the value stolen and recovered but not how many times it happened. Being a major urban city, we might expect that there are not many livestock animals in the city so the values should be low. Figure \@ref(fig:nycLivestock) shows the annual value of livestock thefts in NYC. There are two major issues here. First, in all but two years they report \$0 in livestock thefts. This is likely wrong since even New York City has some livestock (even just the police horses and the horse carriages tourists like) that probably got stolen. The second issue is the massive spike of reported livestock theft value in 1993 with over \$15 million stolen (the only other year with reported thefts is 1975 with \$87,651 stolen). Clearly NYC did not move from \$0 in thefts for decades to \$15 million in a year and then \$0 again so this appears to be a blatant data error. -
-The annual value of stolen livestock in New York City, 1960-2023. -

(\#fig:nycLivestock)The annual value of stolen livestock in New York City, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/nycLivestock-1} + +} + +\caption{The annual value of stolen livestock in New York City, 1960-2023.}(\#fig:nycLivestock) +\end{figure} It gets harder to determine when a value is a mistake when it is simply a big spike - or drop - in data that otherwise looks correct. Take, for example, the annual value of stolen clothing and fur in Philadelphia from 1960-2019, shown in Figure \@ref(fig:phillyFurValue). The annual value of these stolen items more than doubled in 1989 compared to the previous year and then declined rapidly in the following year. @@ -848,10 +959,14 @@ Philadelphia had several years in this time period where only part of that year' It is also important to have some understanding of what the data *should* look like when trying to figure out what data point may be incorrect. In this figure we see a huge spike in 1989. If we know, for example, that a ring of fur thieves were active this year, then that makes it far more likely that the data is real. This may be a rather odd example, but it is helpful to try to understand the context of the data to better understand when the "weird" data is an error and when it is just "weird but right." -
-The annual value of stolen clothing and fur in Philadelphia, PA, 1960-2019 -

(\#fig:phillyFurValue)The annual value of stolen clothing and fur in Philadelphia, PA, 1960-2019

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/phillyFurValue-1} + +} + +\caption{The annual value of stolen clothing and fur in Philadelphia, PA, 1960-2019}(\#fig:phillyFurValue) +\end{figure} Finally, some errors are so extreme that it is surprising they were not captured during any of the review points from the police officer entering data in their agency's computer to the FBI releasing this data to the public. For example, Figure \@ref(fig:romeBicycles) shows Rome, New York, a city of about 32,000 people in central New York State. Here's what the reported value of bicycles stolen was for Rome in our data.^[For this example we would not worry about years where <12 months of data were reported.] @@ -862,10 +977,14 @@ Bicycles were not the only thing stolen in Rome. Consumable goods such as food a Now, obviously this is not real. This is just an error with the police entering in the wrong price. But the issue is that through all the layers of checks that occurred - checks by the local police, by the state UCR system (though some agencies submit directly to the FBI) and the FBI themselves - failed to prevent this incorrect data from being published. This is an obvious, glaring error. If this slipped through the cracks, what less glaring issue did too? So you cannot just trust that this data is right. You need to check and recheck^[and check again.] everything before using it. This is the right approach for all data, and especially for this data. -
-The annual value of stolen consumable goods, bicycles, livestock, and thefts from pickpocketing, in Rome, New York, 1960-2023. -

(\#fig:romeConsumable)The annual value of stolen consumable goods, bicycles, livestock, and thefts from pickpocketing, in Rome, New York, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{04_stolen_property_files/figure-latex/romeConsumable-1} + +} + +\caption{The annual value of stolen consumable goods, bicycles, livestock, and thefts from pickpocketing, in Rome, New York, 1960-2023.}(\#fig:romeConsumable) +\end{figure} The Property Stolen and Recovered dataset offers a useful, though imperfect, view of property crimes and their financial impact. While limitations such as reporting gaps and data inconsistencies exist, careful analysis can still reveal important trends in the types and values of stolen and recovered property. Researchers should approach this data with caution, especially when making year-to-year comparisons or analyzing categories with significant outliers. @@ -887,10 +1006,14 @@ This data is available from 1974 through 2022 though after 2020 the measure for The first year of data has about 9,000 agencies reporting at least one month and that increases strongly to a little over 13,000 in the late 1970s, staying fairly steady until decreasing in the late 1980s then increasing in the 2000s until approximately 15,000 agencies report. The number of agencies reporting 12 months of data follows a similar trend, but at a lower level with about 4,000 fewer agencies each year. This 15,000, however, still remains under the estimated 18,000 police agencies in the United States and below the reporting rates of UCR data such as the Offenses Known and Clearances by Arrest data. This data is also missing some important cities such as New York City which has not reported even a single month since 2002 and Chicago which tends to only report a single month if at all. -
-The annual number of agencies reporting at least one month of data and 12 months of data in that year. -

(\#fig:arrestsAgenciesReporting)The annual number of agencies reporting at least one month of data and 12 months of data in that year.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/arrestsAgenciesReporting-1} + +} + +\caption{The annual number of agencies reporting at least one month of data and 12 months of data in that year.}(\#fig:arrestsAgenciesReporting) +\end{figure} ## What is an arrest? (what unit is this data in?) @@ -996,10 +1119,14 @@ One way to use this data is to look at the age-crime curve of offending. The age Figure \@ref(fig:phillyRapeAge) shows this trend for male arrestees of rape in Philadelphia from 1974-2023, which is every year of data we have available. A major problem with this figure is that some of the ages are for single years and some are for age categories. In the graph there were 793 arrests for rape for people aged 24. The next age is the category of aged 25-29 and there were 3,604 arrests for this age group. One way to address this is to assume that each age in the category has the same number of arrests, so dividing 3,604 by 5 gives us about 721 arrests per age. Assuming equal arrests by age, however, is not consistent with either the literature on the age-crime curve or the findings in this figure for previous ages, as the number of arrests by age is, overall, going down since age 18. So instead of assuming equality, would we assume that older ages have fewer arrests than younger ages (maybe taking the percent change from the previous years where we do have individual ages available)? This is a tricky question to answer and it makes these kinds of analyses really hard to do - and very imprecise since all of your assumptions will be wrong, though hopefully not *too* wrong. -
-The total number of rapes by male arrestees reported by arrestee age in Philadelphia, 1974-2023. -

(\#fig:phillyRapeAge)The total number of rapes by male arrestees reported by arrestee age in Philadelphia, 1974-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/phillyRapeAge-1} + +} + +\caption{The total number of rapes by male arrestees reported by arrestee age in Philadelphia, 1974-2023.}(\#fig:phillyRapeAge) +\end{figure} ### Race @@ -1018,19 +1145,27 @@ Even though there is information about the specific age of arrestee (or the age Figure \@ref(fig:phillyMarijuanaRacePercent) shows one example of an analysis of this data by showing the percent of arrests of adults for marijuana possession by the arrestee's race in Philadelphia for all years of data we have with a full year of data reported, 1976-2018 At the bottom are American Indian and Asian arrestees who make up nearly none of the arrests for this crime. Black arrestees, shown in green, make up the bulk of arrests with only a few years making up under 60% of arrests and growing to around 80% of arrests since the mid-2000s. As White arrestees, shown in orange, are the only other race category included, they make up a near perfect mirror image of Black arrestees, composing of around 40% of arrests until decreasing starting in the 1990s to end up with about 20% of arrests in recent years. -
-The annual percent of adult marijuana possession arrests in Philadelphia by arrestee race, 1978-2018. -

(\#fig:phillyMarijuanaRacePercent)The annual percent of adult marijuana possession arrests in Philadelphia by arrestee race, 1978-2018.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/phillyMarijuanaRacePercent-1} + +} + +\caption{The annual percent of adult marijuana possession arrests in Philadelphia by arrestee race, 1978-2018.}(\#fig:phillyMarijuanaRacePercent) +\end{figure} Interestingly, while the disparity between Black-White arrests has grown dramatically in recent decades, the total number of arrests have a very different trend as shown in Figure \@ref(fig:phillyMarijuanaRaceCount). Total marijuana possession arrests declined in the mid-1980s then increased in the mid-1990s from only a few hundred arrests in the early 1990s to nearly 5,000 arrests in 2010 before dropping precipitously to under 700 each year in the late-2010s. Yet throughout this latter period as a percent of arrests, Black people consistently grew for years before plateauing around 2007 with a small decline in the last few years of full data. Philadelphia decriminalized marijuana possession in 2014 under Mayor Nutter which is right when the steepest decline in arrests happened. This suggests that who is arrested, in terms of race, is relatively unrelated to the total number of arrests, at least for marijuana in Philadelphia. -
-The annual number of adult marijuana possession arrests in Philadelphia by arrestee race, 1978:2018. -

(\#fig:phillyMarijuanaRaceCount)The annual number of adult marijuana possession arrests in Philadelphia by arrestee race, 1978:2018.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/phillyMarijuanaRaceCount-1} + +} + +\caption{The annual number of adult marijuana possession arrests in Philadelphia by arrestee race, 1978:2018.}(\#fig:phillyMarijuanaRaceCount) +\end{figure} ### Ethnicity @@ -1045,17 +1180,25 @@ While technically included, the ethnicity variable is largely useless since for Figure \@ref(fig:theftHispanic) shows the annual number of Hispanic arrestees for theft for all agencies that reported any data that year.^[Theft is used as it is one of the most common crimes.] For several years no agencies reported until the number of Hispanic arrestees start climbing in 1980 and peaks in 1986 at about 136,000 arrestees. Then there are zero Hispanic arrestees for a few years, four Hispanic arrestees in 1990 and two non-Hispanic arrests in 1991, and then again zero Hispanic arrestees, this time for decades. Only in 2017 do the number of Hispanic theft arrestees begin to creep up. From 2017 to 2022 (the last year available at the time of this writing) there are Hispanic arrestees reported every year, though now only about 60,000 per year. -
-The national annual number of Hispanic arrestees for theft. This includes all agencies that year that reporting any number of months. Hispanic arrestees include both juvenile and adult arrestees -

(\#fig:theftHispanic)The national annual number of Hispanic arrestees for theft. This includes all agencies that year that reporting any number of months. Hispanic arrestees include both juvenile and adult arrestees

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/theftHispanic-1} + +} + +\caption{The national annual number of Hispanic arrestees for theft. This includes all agencies that year that reporting any number of months. Hispanic arrestees include both juvenile and adult arrestees}(\#fig:theftHispanic) +\end{figure} Perhaps a better way to look at this data is to see what percent of agencies report ethnicity data. Figure \@ref(fig:theftHispanicPercentAgencies) show the percent of agencies each year that report at least one Hispanic or non-Hispanic (which are the only choices, but showing only Hispanic arrests would exclude agencies where no Hispanic people truly were arrested) arrest for theft. About 60% of agencies reported ethnicity data in the early 80s and then only a couple agencies report in 1990 and 1991. Other than those agencies, none report between 1987 and 2016. Starting in 2017, 36% of agencies report and this number has grown by about five percentage points a year until spiking to about 67% in 2021 and it remained steady in 2022. Given the fluctuations in reporting and how many years there is no data, I strongly recommend against using these variables, even for the recent years of data. -
-The annual percent of agencies that report theft arrests that reported at least one Hispanic person or one non-Hispanic person arrested for theft. Arrestees include both juvenile and adult arrestees. -

(\#fig:theftHispanicPercentAgencies)The annual percent of agencies that report theft arrests that reported at least one Hispanic person or one non-Hispanic person arrested for theft. Arrestees include both juvenile and adult arrestees.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/theftHispanicPercentAgencies-1} + +} + +\caption{The annual percent of agencies that report theft arrests that reported at least one Hispanic person or one non-Hispanic person arrested for theft. Arrestees include both juvenile and adult arrestees.}(\#fig:theftHispanicPercentAgencies) +\end{figure} ### Juvenile referrals @@ -1074,17 +1217,25 @@ Unlike the rest of this dataset where juvenile is defined as being under the age We can look at an example of this in Figure \@ref(fig:JuvenileReferrals) which shows the annual number of referral types in the entire United States from 1974-2023. For all the first couple of years almost all of the referrals have either been that the agency handles the arrest internally and releases the juvenile without any formal charges, or that the juvenile is formally arrested and referred to juvenile court. Since this only happens for a single year it appears to be a data issue.Starting in the late 1990s the number of referrals has declined over time, possibly due fewer juvenile arrests overall during this period. -
-The annual number of juvenile referrals in the United States by referral type, 1974-2020. -

(\#fig:JuvenileReferrals)The annual number of juvenile referrals in the United States by referral type, 1974-2020.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/JuvenileReferrals-1} + +} + +\caption{The annual number of juvenile referrals in the United States by referral type, 1974-2020.}(\#fig:JuvenileReferrals) +\end{figure} In Figure \@ref(fig:JuvenileReferrals) there is a massive spike in referrals to welfare, handled internally, and juvenile court cases in 1976 that occurs for a single year. Was this a year of superpredators? No, it was a year of Michigan data errors. In 1976 many agencies in Michigan provided erroneous data for this variable. This includes, for example, Washtenaw County Sheriff's Office which had a population of 101,452 in 1976 and reported that 150,088 juvenile arrests were reported in welfare. Similarly, Otisville Police Department, population 760, had 10,000 referrals to welfare, and Saginaw Police Department, population 82,000, had 80,074 referrals to welfare, 27,213 referrals to juvenile court, and 6,230 juvenile arrests handled internally. When we remove Michigan, shown in Figure \@ref(fig:JuvenileReferralsNoMichigan), this spike disappears. -
-The annual number of juvenile referrals in the United States excluding agencies in Michigan by referral type, 1974-2020. -

(\#fig:JuvenileReferralsNoMichigan)The annual number of juvenile referrals in the United States excluding agencies in Michigan by referral type, 1974-2020.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{05_arrests_files/figure-latex/JuvenileReferralsNoMichigan-1} + +} + +\caption{The annual number of juvenile referrals in the United States excluding agencies in Michigan by referral type, 1974-2020.}(\#fig:JuvenileReferralsNoMichigan) +\end{figure} Michigan is unlikely to be the sole state with data issues in 1976, and 1976 is unlikely to be the only year with problems. We can see other spikes in the data such as small ones in 1991 and 2016. I leave the task of discovering the cause of these spikes to the reader. @@ -1109,30 +1260,46 @@ Figure \@ref(fig:shrVsOffenses) shows the annual number of homicide victims (inc For the SHR data, in every year the numbers are fairly similar and the trends are the same over time, but the number of homicides is never equal. The numbers have actually gotten worse over time with the difference between the datasets increasing and the Offenses Known data having consistently more murders reported than the SHR data since the late 1990s. Compared to the CDC data, however, both SHR datasets - and in particular the SHR data - undercount the number of homicides. While trends are the same, SHR data reports thousands fewer murders per year than the CDC data, indicating how much of an issue underreporting is in this data. -
-The annual number of murders and nonngeligent manslaughters from the Supplementary Homicide Report and the Offenses Known and Clearances by Arrest dataset, and homicides from the Center for Disease Control (CDC). Numbers differ because agencies voluntarily report and may not report to both datasets. -

(\#fig:shrVsOffenses)The annual number of murders and nonngeligent manslaughters from the Supplementary Homicide Report and the Offenses Known and Clearances by Arrest dataset, and homicides from the Center for Disease Control (CDC). Numbers differ because agencies voluntarily report and may not report to both datasets.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrVsOffenses-1} + +} + +\caption{The annual number of murders and nonngeligent manslaughters from the Supplementary Homicide Report and the Offenses Known and Clearances by Arrest dataset, and homicides from the Center for Disease Control (CDC). Numbers differ because agencies voluntarily report and may not report to both datasets.}(\#fig:shrVsOffenses) +\end{figure} Let us look at Chicago for another example of the differences in reporting from the SHR and the Offenses Known data. Figure \@ref(fig:chicagoSHRvsOffensesKnown) shows the annual number of homicide victims from both datasets. In most years they are pretty similar, excluding a few really odd years in the 1980s and in 1990. But what is also strange is that most years have more SHR victims than Offenses Known victims. So nationally SHR has fewer homicides than Offenses Known but that pattern is reversed in Chicago? This is one of the many quirks of SHR data. And is a warning against treating national trends as local trends; what is true nationally is not always true in your community. So when you use this data, check everything closely. And once you have done that, check it again. -
-The annual number of homicide victims in Chicago, Supplementary Homicide Reports and Offenses Known and Clearances by Arrest, 1976-2023. -

(\#fig:chicagoSHRvsOffensesKnown)The annual number of homicide victims in Chicago, Supplementary Homicide Reports and Offenses Known and Clearances by Arrest, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/chicagoSHRvsOffensesKnown-1} + +} + +\caption{The annual number of homicide victims in Chicago, Supplementary Homicide Reports and Offenses Known and Clearances by Arrest, 1976-2023.}(\#fig:chicagoSHRvsOffensesKnown) +\end{figure} Figures \@ref(fig:shrTopAgenciesCount) and \@ref(fig:shrTopAgenciesCountPercent) attempt to get at this question by looking the number and percent of all incidents that the top 100, 50 and 10 agencies based on number of homicide incidents make up out of all homicide incidents in each year. These agencies are massively disproportionate in how many homicides they represent - though they are also generally the largest cities in the country so are a small number of agencies but a large share of this nation's population. On average, the 10 agencies with the most homicide incidents each year - which may change every year - have over 4,000 homicide incidents and make up about 1/4 of all homicide incidents reported nationally. The top 50 have about 7,500 incidents a year, accounting for 46% of incidents. The top 100 agencies have a bit under 10,000 incidents a year and make up over 55% of all homicide incidents in the United States. So excluding the largest agencies in the country would certainly undercount homicides. -
-The annual number of homicide incidents, showing all agencies, the top 100 agencies (by number of homicide incidents), top 50, and top 10 agencies, 1976-2023. -

(\#fig:shrTopAgenciesCount)The annual number of homicide incidents, showing all agencies, the top 100 agencies (by number of homicide incidents), top 50, and top 10 agencies, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrTopAgenciesCount-1} + +} + +\caption{The annual number of homicide incidents, showing all agencies, the top 100 agencies (by number of homicide incidents), top 50, and top 10 agencies, 1976-2023.}(\#fig:shrTopAgenciesCount) +\end{figure} + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrTopAgenciesCountPercent-1} +} -
-The annual percent of homicide incidents by the top 100 agencies (by number of homicide incidents), top 50, and top 10 agencies, 1976-2023. -

(\#fig:shrTopAgenciesCountPercent)The annual percent of homicide incidents by the top 100 agencies (by number of homicide incidents), top 50, and top 10 agencies, 1976-2023.

-
+\caption{The annual percent of homicide incidents by the top 100 agencies (by number of homicide incidents), top 50, and top 10 agencies, 1976-2023.}(\#fig:shrTopAgenciesCountPercent) +\end{figure} ## Important variables @@ -1142,17 +1309,25 @@ While there is information on up to 11 victims and offenders, in most cases, the To see how the breakdown for the number of victims in each incident looks, Figure \@ref(fig:numberSHRVictims) shows the percent of incidents with each possible number of victims.^[There are five incident where there are more than 11 victims. For simplicity of the graph, these incident are excluded.] In nearly all incidents - 96.0% - there was only a single victim. This drops to 3.3% of incidents for two victims, 0.5% for three victims, and only about 0.2% of incidents have four or more victims. -
-The percent of incidents that have 1-11 victims. -

(\#fig:numberSHRVictims)The percent of incidents that have 1-11 victims.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/numberSHRVictims-1} + +} + +\caption{The percent of incidents that have 1-11 victims.}(\#fig:numberSHRVictims) +\end{figure} Figure \@ref(fig:numberSHROffenders) shows the breakdown of the number of offenders per homicide incident.^[There are seven incidents with more than 11 offenders. For simplicity of the graph, these incidents are excluded.] It is a little less concentrated than with victims but the vast majority of homicides are committed by one offender - or at least the police only report one offender. About 87.6% of homicides have only one offender, 8.4% have two, 2.5% have three, and 1.5% have four. Fewer than 0.5% of homicides have more than four offenders. However, this is all a bit misleading. In cases where there is no information about the offender, including how many offenders there is, the data simply says that there is a single offender. So the number of homicides with a single offender is an over-count while the number with more offenders is an undercount. -
-The percent of incidents that have 1-11 offenders. -

(\#fig:numberSHROffenders)The percent of incidents that have 1-11 offenders.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/numberSHROffenders-1} + +} + +\caption{The percent of incidents that have 1-11 offenders.}(\#fig:numberSHROffenders) +\end{figure} The variable "situation" says what type of victim-offender number combination the incident is - e.g. "multiple victims/single offender", "single victim/multiple offenders", etc. - and does indicate if the number of offenders is unknown (though curiously there are over 4,000 instances where the number of offenders is unknown but they still say there are two offenders) so you can use this variable to determine if the police do not know how many offenders there is. You're still limited, of course, in that the number of offenders is always what the police think there are, and they may be wrong. So use this variable - and anything that comes from it like the percent of offenders of a certain race - with caution. @@ -1170,33 +1345,49 @@ Figure \@ref(fig:shrOffenderAge) shows the percent of homicides where the first If you are familiar with the age-crime curve in criminology - which basically says crime peaks in late teen years then falls dramatically - this shows that exact curve, though is older and does not decline as the offender ages as quickly as we see with less serious crimes. -
-The age of homicide offenders, based on the first offender in any homicide incident. Offenders under age 1 (classified as 'birth to 7 days old, including abandoned infant' and '7 days to 364 days old') and considered 0 years old. Offenders reported as '99 years or older' are considered 99 years old. -

(\#fig:shrOffenderAge)The age of homicide offenders, based on the first offender in any homicide incident. Offenders under age 1 (classified as 'birth to 7 days old, including abandoned infant' and '7 days to 364 days old') and considered 0 years old. Offenders reported as '99 years or older' are considered 99 years old.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrOffenderAge-1} + +} + +\caption{The age of homicide offenders, based on the first offender in any homicide incident. Offenders under age 1 (classified as 'birth to 7 days old, including abandoned infant' and '7 days to 364 days old') and considered 0 years old. Offenders reported as '99 years or older' are considered 99 years old.}(\#fig:shrOffenderAge) +\end{figure} Figure \@ref(fig:shrVictimAge) repeats Figure \@ref(fig:shrOffenderAge) but with victim age rather than offender age. The mean victim age (shown in orange) is 33 and the median age is 30. Though the average victim age is a bit younger than the average offender age, trends are relatively similar for teenagers and older where deaths spikes in the late teen years and then declines steadily. The major difference is the U-shape for younger victims - for victims under age 15, homicides peak at age 0 (i.e. younger than their first birthday) with ~1.4% of all homicides being this this age. They then decline until plateauing at around age 6 before increasing again in the early teen years. -
-The age of homicide victims, based on the first victims in any homicide incident. Victims under age 1 (classified as 'birth to 7 days old, including abandoned infant' and '7 days to 364 days old') and considered 0 years old. Victims reported as '99 years or older' are considered 99 years old. -

(\#fig:shrVictimAge)The age of homicide victims, based on the first victims in any homicide incident. Victims under age 1 (classified as 'birth to 7 days old, including abandoned infant' and '7 days to 364 days old') and considered 0 years old. Victims reported as '99 years or older' are considered 99 years old.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrVictimAge-1} + +} + +\caption{The age of homicide victims, based on the first victims in any homicide incident. Victims under age 1 (classified as 'birth to 7 days old, including abandoned infant' and '7 days to 364 days old') and considered 0 years old. Victims reported as '99 years or older' are considered 99 years old.}(\#fig:shrVictimAge) +\end{figure} #### Sex We will next look at victim and offender sex, a simple variable since only male and female are included. About 62.2% of offenders, as seen in Figure \@ref(fig:shrOffenderSex), are male and about 8.2% are female, indicating a large disparity in the sex of homicide offenders. The remaining 29.6% of offenders do not have sex data available because the police do not know the sex of this individual. For offenders who are not arrested, this variable may be inaccurate since it is perceived sex of the offender.^[If we ignore unknown sex, essentially saying that the unknown people will have their sex distributed exactly as the known sex people, 88% are male and 12% are female. However, this assumption is probably wrong since the unknown people may be materially different than the known people, as evidence by them likely not being arrested and committing the crime in a way where even their sex cannot be identified. ] -
-The sex of offender \#1, 1976-2023. -

(\#fig:shrOffenderSex)The sex of offender \#1, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrOffenderSex-1} + +} + +\caption{The sex of offender \#1, 1976-2023.}(\#fig:shrOffenderSex) +\end{figure} There is far less uncertainty for victim sex, with under 0.17% of victims having an unknown sex. Here again there is a large disparity between male and female with about 78.2% of victims being male and 21.6% being female. -
-The sex of victim \#1, 1976-2023. -

(\#fig:shrVictimSex)The sex of victim \#1, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrVictimSex-1} + +} + +\caption{The sex of victim \#1, 1976-2023.}(\#fig:shrVictimSex) +\end{figure} #### Race @@ -1204,17 +1395,25 @@ This data also includes the race of the victims and offenders. This includes the Figure \@ref(fig:shrOffenderRace) shows the percent of homicides in the data by the race of offender #1. Black and White offenders are included are similar percentages, at 34.3% and 33.6% of victims, respectively. The next most common group is Unknown at about 30.6% of offenders. Given that so many offenders have an unknown race, the reliability of race measures is limited. The remaining races are Asian at 0.9% of offenders, American Indian or Alaskan Native at 0.6%, and Native Hawaiian or Other Pacific Islander at 0.02%. -
-The race of offender \#1, 1976-2023. -

(\#fig:shrOffenderRace)The race of offender \#1, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrOffenderRace-1} + +} + +\caption{The race of offender \#1, 1976-2023.}(\#fig:shrOffenderRace) +\end{figure} For victim race, seen in Figure \@ref(fig:shrVictimRace), only about 1% of victim #1 races are unknown. This means we can be a lot more confident in the race of the victims than in the race of the offender. Similar to offenders, White and Black victims are the two most common races, with 48.4% and 48.1% of victims, respectively. There is a greater share of Asian victims than Asian offenders at 1.5% of victims. American Indian or Alaskan Natives make up 0.8% of victims while Native Hawaiian or Pacific Islanders make up 0.02% of victims. -
-The race of victim \#1, 1976-2023 -

(\#fig:shrVictimRace)The race of victim \#1, 1976-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrVictimRace-1} + +} + +\caption{The race of victim \#1, 1976-2023}(\#fig:shrVictimRace) +\end{figure} #### Ethnicity @@ -1222,24 +1421,36 @@ The final demographic variable is ethnicity which is whether the victim or offen The vast majority - 69.7% - of offenders have an unknown ethnicity while 23.4% are not Hispanic and 7.1% are Hispanic. -
-The ethnicity of offender \#1, 1976-2023. -

(\#fig:shrOffenderEthnicity)The ethnicity of offender \#1, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrOffenderEthnicity-1} + +} + +\caption{The ethnicity of offender \#1, 1976-2023.}(\#fig:shrOffenderEthnicity) +\end{figure} Unlike the other demographic variables, there is still a huge amount of underreporting when it comes to victim ethnicity, though still less than for offender ethnicity. 55.6% of victims have an unknown ethnicity. Approximately 33.2% of victim #1 are reported as not Hispanic while 11.1% are reported as Hispanic. -
-The ethnicity of victim \#1, 1976-2023. -

(\#fig:shrVictimEthnicity)The ethnicity of victim \#1, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrVictimEthnicity-1} + +} + +\caption{The ethnicity of victim \#1, 1976-2023.}(\#fig:shrVictimEthnicity) +\end{figure} As an example of agencies under-reporting this variable, let us look at the number of offender #1s in Albuquerque, New Mexico, a city which the [US Census](https://www.census.gov/quickfacts/fact/table/albuquerquecitynewmexico,US/PST045222) says is about 50% Hispanic. Yet the Albuquerque police reported no ethnicity information for almost three decades of data. -
-Annual number of offender \#1 who is Hispanic in Albuquerque, New Mexico, 1976-2023. -

(\#fig:ABQ)Annual number of offender \#1 who is Hispanic in Albuquerque, New Mexico, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/ABQ-1} + +} + +\caption{Annual number of offender \#1 who is Hispanic in Albuquerque, New Mexico, 1976-2023.}(\#fig:ABQ) +\end{figure} ### Case characteristics @@ -1252,138 +1463,84 @@ The first variable we will look at is the weapon used by each offender. Table \@ The most commonly used weapon is a handgun, which is used in nearly half of homicides. This is followed by a knife or other sharp weapon used to cut at almost 15% of homicides, and then by "firearm, type not stated" which is just a firearm where we do not know the exact type (it can include handguns) at 8.9% of homicides The fourth most common weapon is "personal weapons" at nearly 6% of homicides. "Personal weapons" is a weird term to mean that there was no weapon - the "weapon" was the offender who beat the victim to death. Shotguns are involved in almost 5% of homicides and all other weapons are involved in fewer than 5% of cases. In total there are 19 different weapons included though most are very uncommon. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:shrWeapon)The weapon used in a homicide incident, 1976-2023. In cases where there are multiple offenders, shows only the primary weapon for the first offender.
Weapon # of Incidents % of Incidents
Handgun 397,337 48.72\%
Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 101,410 12.43\%
Firearm (Type Not Stated) 76,807 9.42\%
Personal Weapons (Hands, Feet, Teeth, Etc.) 46,605 5.71\%
Other Or Unknown Weapon 45,887 5.63\%
Shotgun 37,038 4.54\%
Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 35,157 4.31\%
Rifle 28,672 3.52\%
Knife Or Cutting Instrument 16,091 1.97\%
Strangulation - Includes Hanging 9,778 1.20\%
Fire 5,482 0.67\%
Asphyxiation - Includes Death By Gas 4,956 0.61\%
Other Firearm 3,892 0.48\%
Drugs/Narcotics/Sleeping Pills 3,834 0.47\%
Drowning 1,384 0.17\%
Poison - Does Not Include Gas 568 0.07\%
Explosives 385 0.05\%
Pushed Or Thrown Out of Window 258 0.03\%
Narcotics Or Drugs 48 0.01\%
Undocumented Code 1 0.00\%
Total 815,590 100\%
+ +\begin{longtable}[t]{l|l|r} +\caption{(\#tab:shrWeapon)The weapon used in a homicide incident, 1976-2023. In cases where there are multiple offenders, shows only the primary weapon for the first offender.}\\ +\hline +Weapon & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:shrWeapon)The weapon used in a homicide incident, 1976-2023. In cases where there are multiple offenders, shows only the primary weapon for the first offender. \textit{(continued)}}\\ +\hline +Weapon & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Handgun & 397,337 & 48.72\textbackslash{}\%\\ +\hline +Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 101,410 & 12.43\textbackslash{}\%\\ +\hline +Firearm (Type Not Stated) & 76,807 & 9.42\textbackslash{}\%\\ +\hline +Personal Weapons (Hands, Feet, Teeth, Etc.) & 46,605 & 5.71\textbackslash{}\%\\ +\hline +Other Or Unknown Weapon & 45,887 & 5.63\textbackslash{}\%\\ +\hline +Shotgun & 37,038 & 4.54\textbackslash{}\%\\ +\hline +Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 35,157 & 4.31\textbackslash{}\%\\ +\hline +Rifle & 28,672 & 3.52\textbackslash{}\%\\ +\hline +Knife Or Cutting Instrument & 16,091 & 1.97\textbackslash{}\%\\ +\hline +Strangulation - Includes Hanging & 9,778 & 1.20\textbackslash{}\%\\ +\hline +Fire & 5,482 & 0.67\textbackslash{}\%\\ +\hline +Asphyxiation - Includes Death By Gas & 4,956 & 0.61\textbackslash{}\%\\ +\hline +Other Firearm & 3,892 & 0.48\textbackslash{}\%\\ +\hline +Drugs/Narcotics/Sleeping Pills & 3,834 & 0.47\textbackslash{}\%\\ +\hline +Drowning & 1,384 & 0.17\textbackslash{}\%\\ +\hline +Poison - Does Not Include Gas & 568 & 0.07\textbackslash{}\%\\ +\hline +Explosives & 385 & 0.05\textbackslash{}\%\\ +\hline +Pushed Or Thrown Out of Window & 258 & 0.03\textbackslash{}\%\\ +\hline +Narcotics Or Drugs & 48 & 0.01\textbackslash{}\%\\ +\hline +Undocumented Code & 1 & 0.00\textbackslash{}\%\\ +\hline +Total & 815,590 & 100\textbackslash{}\%\\ +\hline +\end{longtable} You may have noticed from the table that AR-15 is not included. While AR-15 is the commonly discussed in the media and policy circles as a way to control gun violence, it is not in a category by itself. Instead it is combined with other rifles in the "rifle" weapon group, and makes up about 3.6% of the weapons used by offender #1 in the data. Let us check if AR-15s, through our rough proxy of the "rifle" weapon group, is getting more common over time. Figure \@ref(fig:shrRifle) shows the number of homicide incidents (including manslaughters, so not necessarily all murders) where offender #1 used a rifle. Figure \@ref(fig:shrRiflePercent) shows the percent of all homicide incidents where the the weapon was a rifle. Using both of these measures we can see the rifles are getting less common, declining substantially since 1980 though increasing again starting in the mid-2010s. -
-The annual number of homicide incidents where offender \#1's weapon was a rifle, 1976-2023. -

(\#fig:shrRifle)The annual number of homicide incidents where offender \#1's weapon was a rifle, 1976-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrRifle-1} + +} + +\caption{The annual number of homicide incidents where offender \#1's weapon was a rifle, 1976-2023.}(\#fig:shrRifle) +\end{figure} + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{06_shr_files/figure-latex/shrRiflePercent-1} -
-The annual share of homicide incidents where offender \#1's weapon was a rifle, 1976-2023. -

(\#fig:shrRiflePercent)The annual share of homicide incidents where offender \#1's weapon was a rifle, 1976-2023.

-
+} + +\caption{The annual share of homicide incidents where offender \#1's weapon was a rifle, 1976-2023.}(\#fig:shrRiflePercent) +\end{figure} Now, maybe this weapon is more commonly used in some types of crimes such as school shootings. You could get at that question using this data by seeing if times when a rifle is used that victims or offenders are younger or if the circumstance is something that suggests a school shooting. Unfortunately there is no offense location variable here, though there is in NIBRS and we can largely recreate this data through NIBRS. And of course you cannot tell if the weapon is actually an AR-15, only if it is a rifle. @@ -1393,199 +1550,79 @@ An interesting and highly useful variable is the relationship between the first The most common relationship, with about 28% of homicides, is that the police do not know the relationship. So there is a good deal of uncertainty in the relationship between victims and offenders. Next is that the victim is the offender's acquaintance at 19.7% or is a stranger at 15.3%. The next is "other - known to victim" which is similar to being an acquaintance at almost 5% of homicides. This is followed by the victim being the friend of the murderer at 3.6%. The 6th most common relationship, at 3.6% is that the victim is the wife of the offender, so she is murdered by her husband, and is the first familial relationship of this list. The remaining relationships all make up fewer than 3% of all homicides. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:shrRelationship)The relationship between the first victim and the first offender in a homicide incident, 1976-2023.
Relationship Category # of Incidents % of Incidents
Relationship Unknown 307,131 37.66\%
Victim Was Acquaintance 159,491 19.56\%
Victim Was Stranger 124,083 15.21\%
Victim Was Otherwise Known 39,899 4.89\%
Victim Was Friend 29,310 3.59\%
Victim Was Wife 28,516 3.50\%
Victim Was Girlfriend 22,267 2.73\%
Victim Was Other Family 12,242 1.50\%
Victim Was Husband 12,219 1.50\%
Victim Was Son 11,837 1.45\%
Victim Was Boyfriend 10,332 1.27\%
Victim Was Daughter 8,414 1.03\%
Victim Was Neighbor 8,266 1.01\%
Victim Was Brother 7,209 0.88\%
Victim Was Father 5,936 0.73\%
Victim Was Mother 5,486 0.67\%
Victim Was In-Law 4,694 0.58\%
Victim Was Common-Law Wife 3,350 0.41\%
Victim Was Common-Law Husband 2,736 0.34\%
Victim Was Ex-Wife 2,397 0.29\%
Victim Was Stepfather 1,915 0.23\%
Victim Was In A Homosexual Relationship With The Offender 1,708 0.21\%
Victim Was Sister 1,567 0.19\%
Victim Was Stepson 1,530 0.19\%
Victim Was Ex-Husband 951 0.12\%
Victim Was Stepdaughter 808 0.10\%
Victim Was Employer 575 0.07\%
Victim Was Employee 466 0.06\%
Victim Was Stepmother 255 0.03\%
Total 815,590 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:shrRelationship)The relationship between the first victim and the first offender in a homicide incident, 1976-2023.}\\ +\hline +Relationship & Category & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:shrRelationship)The relationship between the first victim and the first offender in a homicide incident, 1976-2023. \textit{(continued)}}\\ +\hline +Relationship & Category & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Relationship Unknown & & 307,131 & 37.66\textbackslash{}\%\\ +\hline +Victim Was Acquaintance & & 159,491 & 19.56\textbackslash{}\%\\ +\hline +Victim Was Stranger & & 124,083 & 15.21\textbackslash{}\%\\ +\hline +Victim Was Otherwise Known & & 39,899 & 4.89\textbackslash{}\%\\ +\hline +Victim Was Friend & & 29,310 & 3.59\textbackslash{}\%\\ +\hline +Victim Was Wife & & 28,516 & 3.50\textbackslash{}\%\\ +\hline +Victim Was Girlfriend & & 22,267 & 2.73\textbackslash{}\%\\ +\hline +Victim Was Other Family & & 12,242 & 1.50\textbackslash{}\%\\ +\hline +Victim Was Husband & & 12,219 & 1.50\textbackslash{}\%\\ +\hline +Victim Was Son & & 11,837 & 1.45\textbackslash{}\%\\ +\hline +Victim Was Boyfriend & & 10,332 & 1.27\textbackslash{}\%\\ +\hline +Victim Was Daughter & & 8,414 & 1.03\textbackslash{}\%\\ +\hline +Victim Was Neighbor & & 8,266 & 1.01\textbackslash{}\%\\ +\hline +Victim Was Brother & & 7,209 & 0.88\textbackslash{}\%\\ +\hline +Victim Was Father & & 5,936 & 0.73\textbackslash{}\%\\ +\hline +Victim Was Mother & & 5,486 & 0.67\textbackslash{}\%\\ +\hline +Victim Was In-Law & & 4,694 & 0.58\textbackslash{}\%\\ +\hline +Victim Was Common-Law Wife & & 3,350 & 0.41\textbackslash{}\%\\ +\hline +Victim Was Common-Law Husband & & 2,736 & 0.34\textbackslash{}\%\\ +\hline +Victim Was Ex-Wife & & 2,397 & 0.29\textbackslash{}\%\\ +\hline +Victim Was Stepfather & & 1,915 & 0.23\textbackslash{}\%\\ +\hline +Victim Was In A Homosexual Relationship With The Offender & & 1,708 & 0.21\textbackslash{}\%\\ +\hline +Victim Was Sister & & 1,567 & 0.19\textbackslash{}\%\\ +\hline +Victim Was Stepson & & 1,530 & 0.19\textbackslash{}\%\\ +\hline +Victim Was Ex-Husband & & 951 & 0.12\textbackslash{}\%\\ +\hline +Victim Was Stepdaughter & & 808 & 0.10\textbackslash{}\%\\ +\hline +Victim Was Employer & & 575 & 0.07\textbackslash{}\%\\ +\hline +Victim Was Employee & & 466 & 0.06\textbackslash{}\%\\ +\hline +Victim Was Stepmother & & 255 & 0.03\textbackslash{}\%\\ +\hline +Total & & 815,590 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -1597,241 +1634,93 @@ The felony type murders are simply ones where another crime occurred during the The most common circumstances, accounting for 27.4%, 26.9%, and 12.5%, respectively, are "Unknown", "Other Arguments", and "Other Non-Felony Type - Not Specified." Since the data includes "Argument Over Money Or Property" as one category, the "Other Arguments" mean that it is an argument for a reason other than over money or property. The "Other Non-Felony Type" one does not mean that the murder did not occur alongside another crime, but also does not fall into the non-felony categories included. Robbery is the only remaining circumstance with more than 5% of murders, at 7.4%. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:shrCircumstance)The circumstance of the homicide for the first offender in a homicide incident.
Circumstance Category # of Incidents % of Incidents
Unknown 228,621 28.03\%
Other Arguments Non-Felony Type 218,716 26.82\%
Other Non-Felony Type - Not Specified Non-Felony Type 101,778 12.48\%
Robbery Felony Type 59,295 7.27\%
Narcotic Drug Laws Felony Type 29,109 3.57\%
Juvenile Gang Killings Non-Felony Type 24,345 2.98\%
Felon Killed By Police Justifiable Homicide 18,039 2.21\%
Other Felony Type - Not Specified Felony Type 15,760 1.93\%
Brawl Due To Influence of Alcohol Non-Felony Type 15,235 1.87\%
Argument Over Money Or Property Non-Felony Type 15,004 1.84\%
Felon Killed By Private Citizen Justifiable Homicide 14,627 1.79\%
All Suspected Felony Type Felony Type 12,996 1.59\%
All Other Manslaughter By Negligence Except Traffic Deaths Negligent Manslaughter 10,983 1.35\%
Burglary Felony Type 6,467 0.79\%
Domestic Violence (Historically Called Lovers Triangle/Quarrel) 6,456 0.79\%
Gangland Killings Non-Felony Type 6,206 0.76\%
Brawl Due To Influence of Narcotics Non-Felony Type 4,715 0.58\%
Rape Felony Type 4,160 0.51\%
Lovers Triangle Non-Felony Type 4,158 0.51\%
Other Negligent Handling of Gun Which Resulted In Death of Another Negligent Manslaughter 4,111 0.50\%
Arson Felony Type 3,358 0.41\%
Motor Vehicle Theft Felony Type 1,554 0.19\%
Children Playing With Gun Negligent Manslaughter 1,520 0.19\%
Other Sex Offenses Felony Type 1,440 0.18\%
Institutional Killings Non-Felony Type 1,371 0.17\%
Child Killed By Babysitter Non-Felony Type 1,353 0.17\%
Gambling Felony Type 1,041 0.13\%
Larceny Felony Type 975 0.12\%
Prostitution And Commercialized Vice Felony Type 631 0.08\%
Other - Not Specified Felony Type 554 0.07\%
Sniper Attack Non-Felony Type 480 0.06\%
Victim Shot In Hunting Accident Negligent Manslaughter 359 0.04\%
Gun Cleaning Death - Other Than Self-Inflicted Negligent Manslaughter 157 0.02\%
Abortion Felony Type 14 0.00\%
Human Trafficking/Involuntary Servitude 1 0.00\%
Human Trafficking/Commercial Sex Acts 1 0.00\%
Total 815,590 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:shrCircumstance)The circumstance of the homicide for the first offender in a homicide incident.}\\ +\hline +Circumstance & Category & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:shrCircumstance)The circumstance of the homicide for the first offender in a homicide incident. \textit{(continued)}}\\ +\hline +Circumstance & Category & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Unknown & & 228,621 & 28.03\textbackslash{}\%\\ +\hline +Other Arguments & Non-Felony Type & 218,716 & 26.82\textbackslash{}\%\\ +\hline +Other Non-Felony Type - Not Specified & Non-Felony Type & 101,778 & 12.48\textbackslash{}\%\\ +\hline +Robbery & Felony Type & 59,295 & 7.27\textbackslash{}\%\\ +\hline +Narcotic Drug Laws & Felony Type & 29,109 & 3.57\textbackslash{}\%\\ +\hline +Juvenile Gang Killings & Non-Felony Type & 24,345 & 2.98\textbackslash{}\%\\ +\hline +Felon Killed By Police & Justifiable Homicide & 18,039 & 2.21\textbackslash{}\%\\ +\hline +Other Felony Type - Not Specified & Felony Type & 15,760 & 1.93\textbackslash{}\%\\ +\hline +Brawl Due To Influence of Alcohol & Non-Felony Type & 15,235 & 1.87\textbackslash{}\%\\ +\hline +Argument Over Money Or Property & Non-Felony Type & 15,004 & 1.84\textbackslash{}\%\\ +\hline +Felon Killed By Private Citizen & Justifiable Homicide & 14,627 & 1.79\textbackslash{}\%\\ +\hline +All Suspected Felony Type & Felony Type & 12,996 & 1.59\textbackslash{}\%\\ +\hline +All Other Manslaughter By Negligence Except Traffic Deaths & Negligent Manslaughter & 10,983 & 1.35\textbackslash{}\%\\ +\hline +Burglary & Felony Type & 6,467 & 0.79\textbackslash{}\%\\ +\hline +Domestic Violence (Historically Called Lovers Triangle/Quarrel) & & 6,456 & 0.79\textbackslash{}\%\\ +\hline +Gangland Killings & Non-Felony Type & 6,206 & 0.76\textbackslash{}\%\\ +\hline +Brawl Due To Influence of Narcotics & Non-Felony Type & 4,715 & 0.58\textbackslash{}\%\\ +\hline +Rape & Felony Type & 4,160 & 0.51\textbackslash{}\%\\ +\hline +Lovers Triangle & Non-Felony Type & 4,158 & 0.51\textbackslash{}\%\\ +\hline +Other Negligent Handling of Gun Which Resulted In Death of Another & Negligent Manslaughter & 4,111 & 0.50\textbackslash{}\%\\ +\hline +Arson & Felony Type & 3,358 & 0.41\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Felony Type & 1,554 & 0.19\textbackslash{}\%\\ +\hline +Children Playing With Gun & Negligent Manslaughter & 1,520 & 0.19\textbackslash{}\%\\ +\hline +Other Sex Offenses & Felony Type & 1,440 & 0.18\textbackslash{}\%\\ +\hline +Institutional Killings & Non-Felony Type & 1,371 & 0.17\textbackslash{}\%\\ +\hline +Child Killed By Babysitter & Non-Felony Type & 1,353 & 0.17\textbackslash{}\%\\ +\hline +Gambling & Felony Type & 1,041 & 0.13\textbackslash{}\%\\ +\hline +Larceny & Felony Type & 975 & 0.12\textbackslash{}\%\\ +\hline +Prostitution And Commercialized Vice & Felony Type & 631 & 0.08\textbackslash{}\%\\ +\hline +Other - Not Specified & Felony Type & 554 & 0.07\textbackslash{}\%\\ +\hline +Sniper Attack & Non-Felony Type & 480 & 0.06\textbackslash{}\%\\ +\hline +Victim Shot In Hunting Accident & Negligent Manslaughter & 359 & 0.04\textbackslash{}\%\\ +\hline +Gun Cleaning Death - Other Than Self-Inflicted & Negligent Manslaughter & 157 & 0.02\textbackslash{}\%\\ +\hline +Abortion & Felony Type & 14 & 0.00\textbackslash{}\%\\ +\hline +Human Trafficking/Involuntary Servitude & & 1 & 0.00\textbackslash{}\%\\ +\hline +Human Trafficking/Commercial Sex Acts & & 1 & 0.00\textbackslash{}\%\\ +\hline +Total & & 815,590 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -1841,58 +1730,35 @@ The "subcircumstance" just tells you more information about justifiable homicide This dataset is one source of information on how many people police kill each year. But it is a large undercount compared to other sources such as the Washington Post collection, so is not a very useful source of information on this topic. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:shrSubCircumstance)The circumstance for the first offender in a homicide incident in cases where the offender is killed. This includes incidents where the only person who dies in the offender.
Subcircumstance # of Incidents % of Incidents
Felon Killed In Commission of A Crime 11,312 34.63\%
Felon Attacked Police Officer 9,486 29.04\%
Felon Attacked A Civilian 5,976 18.29\%
Not Enough Information To Determine 2,572 7.87\%
Felon Resisted Arrest 1,296 3.97\%
Felon Attacked Fellow Police Officer 1,175 3.60\%
Felon Attempted Flight From A Crime 849 2.60\%
Total 32,666 100\%
+ +\begin{longtable}[t]{l|l|r} +\caption{(\#tab:shrSubCircumstance)The circumstance for the first offender in a homicide incident in cases where the offender is killed. This includes incidents where the only person who dies in the offender.}\\ +\hline +Subcircumstance & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:shrSubCircumstance)The circumstance for the first offender in a homicide incident in cases where the offender is killed. This includes incidents where the only person who dies in the offender. \textit{(continued)}}\\ +\hline +Subcircumstance & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Felon Killed In Commission of A Crime & 11,312 & 34.63\textbackslash{}\%\\ +\hline +Felon Attacked Police Officer & 9,486 & 29.04\textbackslash{}\%\\ +\hline +Felon Attacked A Civilian & 5,976 & 18.29\textbackslash{}\%\\ +\hline +Not Enough Information To Determine & 2,572 & 7.87\textbackslash{}\%\\ +\hline +Felon Resisted Arrest & 1,296 & 3.97\textbackslash{}\%\\ +\hline +Felon Attacked Fellow Police Officer & 1,175 & 3.60\textbackslash{}\%\\ +\hline +Felon Attempted Flight From A Crime & 849 & 2.60\textbackslash{}\%\\ +\hline +Total & 32,666 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -1913,10 +1779,14 @@ Figure \@ref(fig:leokaAgencies) shows the annual number of police agencies that The decline after 2020 is part of what I have referred to as the "death and rebirth" of the SRS. 2020 was the last year that the FBI accepted SRS data - though in 2022 they began accepting SRS submissions again. As noted in previous chapters, this death and rebirth led to changes in both which agencies reported and what data was reported. In 2021 when only NIBRS was collected, no SRS agencies could report, but even once they began to accept SRS data again the damage was done. Some agencies were transitioning from SRS to NIBRS so reported neither, while others likely made the decision to stick to NIBRS only - perhaps caused by their data vendor no longer supporting SRS data. -
-The annual number of police agencies that report at least month of data, at least one employee, and at least one assault against an officer, 1960-2023 -

(\#fig:leokaAgencies)The annual number of police agencies that report at least month of data, at least one employee, and at least one assault against an officer, 1960-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaAgencies-1} + +} + +\caption{The annual number of police agencies that report at least month of data, at least one employee, and at least one assault against an officer, 1960-2023}(\#fig:leokaAgencies) +\end{figure} Part of the decline we see in Figure \@ref(fig:leokaAgencies) is because starting in 2018 - for reasons I am unsure of - many more agencies started reporting having zero employees. In Figure \@ref(fig:leokaAgenciesEmployees) we can see the annual number of agencies that report having at least one employee (civilian or sworn officer). Compared to Figure \@ref(fig:leokaAgencies) we see more agencies reporting since the 200s, and an earlier but less steep drop in reporting. @@ -1938,47 +1808,67 @@ One of the claims made around the massive crime spike during Covid is that it wa Well, not quite. This country's population has grown quite a bit since 1960 so we really want to do some kind of rate of officers per civilian population. And as we saw earlier not all agencies report data. So changes over time may really just be changes in which agencies report data. For a good comparison we need to look at only agencies that have reported data for every year we are interested in. And that is all assuming we actually care about national trends which we really should not. Crime is a local issue; what happens in your community - be it whether officers are leaving or crime is increasing - matters a whole lot more than what is happening across the country.^[Of course what happens nationally may be reflected locally, but there is no good reason to focus on national data in lieu of local data.] -
-The number of civilian employees and sworn officers in the United States, 1960-2023 -

(\#fig:leokaNationalEmployees)The number of civilian employees and sworn officers in the United States, 1960-2023

-
+\begin{figure} +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaNationalEmployees-1} +} -So now lets look at a local example: the Philadelphia Police Department as shown in Figure \@ref(fig:leokaCivilianOfficers). The number of civilian employees has remained at a little under 1,000 employees from about 1970 through the end of our data, though declining very slightly since the middle 2000s. This is curious since the city's population and crime trends have changed dramatically over this time and the ability of civilian employees to contribute has also changed, such as that they now have computers.^[The last time I heard, which was several years ago, patrol officers in Philadelphia still had to write up certain reports using typewriters. So tech apparently is still about 1960 level.] In contrast, the number of police has changed far more than civilians, growing rapidly in the 1960s and 1970s to peaking at a little over 8,000 officers in the mid-1970s before declining substantially to the 6,000s. in the late-1980s. As with some larger agencies nationwide, the number of officers increased in the 1990s and then has decreased steadily in ensuing years. By recent years there are about as many officers as in the late-1980s, even though the city's population has grown substantially since then. What stands out is that in 2020 there are zero sworn officers or civilians employees. By 2022 there are fewer sworn officers but more civilian employees than in 2020. 2021 is simply due to Philly reporting zero employees in that year, though obviously this is not actually a reflection of reality. When looking at only one city like we do here it is glaringly obvious that there is a data issue. The problem is that when looking at aggregate data, like we do in Figure \@ref(fig:leokaNationalEmployees) it is much harder, without additional data cleaning steps, to determine what is a data error and what is a true change. +\caption{The number of civilian employees and sworn officers in the United States, 1960-2023}(\#fig:leokaNationalEmployees) +\end{figure} -
-The number of civilian employees and sworn officers in the Philadelphia Police Department, 1960-2023 -

(\#fig:leokaCivilianOfficers)The number of civilian employees and sworn officers in the Philadelphia Police Department, 1960-2023

-
-We can also look at the number of officers (or civilian employees) by gender. Figure \@ref(fig:leokaOfficersGender) shows the percent of Philadelphia police officers by gender while Figure \@ref(fig:leokaOfficersGenderCount) shows the number of officers. For the first decade of data all female officers (or civilians) were recorded as male, so that variable should be interpreted as "total officers" until 1971 when it is split into gender. Starting at basically 0% of officers in 1971, female officers grew until they made up about a quarter of officers in 2000 and then has declined slowly since then.^[Please note that since Philly did not report in 2021 the 2021 value is NA, and is shown in the figure as the 2020 data point drawing a straight line to the 2022 data point.] -
-The percent of female and male sworn officers in Philadelphia, 1960-2023 -

(\#fig:leokaOfficersGender)The percent of female and male sworn officers in Philadelphia, 1960-2023

-
+So now lets look at a local example: the Philadelphia Police Department as shown in Figure \@ref(fig:leokaCivilianOfficers). The number of civilian employees has remained at a little under 1,000 employees from about 1970 through the end of our data, though declining very slightly since the middle 2000s. This is curious since the city's population and crime trends have changed dramatically over this time and the ability of civilian employees to contribute has also changed, such as that they now have computers.^[The last time I heard, which was several years ago, patrol officers in Philadelphia still had to write up certain reports using typewriters. So tech apparently is still about 1960 level.] In contrast, the number of police has changed far more than civilians, growing rapidly in the 1960s and 1970s to peaking at a little over 8,000 officers in the mid-1970s before declining substantially to the 6,000s. in the late-1980s. As with some larger agencies nationwide, the number of officers increased in the 1990s and then has decreased steadily in ensuing years. By recent years there are about as many officers as in the late-1980s, even though the city's population has grown substantially since then. What stands out is that in 2020 there are zero sworn officers or civilians employees. By 2022 there are fewer sworn officers but more civilian employees than in 2020. 2021 is simply due to Philly reporting zero employees in that year, though obviously this is not actually a reflection of reality. When looking at only one city like we do here it is glaringly obvious that there is a data issue. The problem is that when looking at aggregate data, like we do in Figure \@ref(fig:leokaNationalEmployees) it is much harder, without additional data cleaning steps, to determine what is a data error and what is a true change. +\begin{figure} -### Officers killed +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaCivilianOfficers-1} -There is almost no information about officers killed. The data only breaks this down into if they died "feloniously" which just means that someone killed them on purpose (e.g. shooting them, intentionally hitting them with a car) or if they died "accidentally" such as if they die during a car crash while on duty. The FBI actually collects more information on officer deaths than they release in this data. This includes the circumstances of each death such as the type of death (e.g. car crash, shooting, ambush, etc.), what weapon the offender had if feloniously killed, and even a detailed written summary of what occurred for each officer killed. They post this information in their annual LEOKA report which is part of their Crime in the United States report. The 2019 report, for example, can be found on their site [here](https://ucr.fbi.gov/leoka/2019/home). +} -We can look at what data is available through Figure \@ref(fig:leokaOfficersKilled) which shows the number of Los Angeles Police Department officers killed over time. There are no accidental killings until 1975 though this is misleading because that accidental killings variable is not reported until 1971, which is a year in which many other variables in this data began reporting. So we actually have no idea how many officers were killed accidentally from 1960-1970 since this variable is always reported as 0. In general it seems like there is about one officer killed per year in recent decades while the period from 1980 to 2000 was the time of highest danger with as many as five officers killed in a single year. We can also see some trend changes with felonious killings more common than accidental killings in the 1990s and then accidental killings becoming far more common starting in 2000. +\caption{The number of civilian employees and sworn officers in the Philadelphia Police Department, 1960-2023}(\#fig:leokaCivilianOfficers) +\end{figure} -
-The number of officers killed by felony and killed accidentally in New York City, 1960-2023 -

(\#fig:leokaOfficersKilled)The number of officers killed by felony and killed accidentally in New York City, 1960-2023

-
+We can also look at the number of officers (or civilian employees) by gender. Figure \@ref(fig:leokaOfficersGender) shows the percent of Philadelphia police officers by gender while Figure \@ref(fig:leokaOfficersGenderCount) shows the number of officers. For the first decade of data all female officers (or civilians) were recorded as male, so that variable should be interpreted as "total officers" until 1971 when it is split into gender. Starting at basically 0% of officers in 1971, female officers grew until they made up about a quarter of officers in 2000 and then has declined slowly since then.^[Please note that since Philly did not report in 2021 the 2021 value is NA, and is shown in the figure as the 2020 data point drawing a straight line to the 2022 data point.] -We can also look at the national number of officers killed as shown in Figure \@ref(fig:leokaOfficersKilledNational). Please note that this is simply summing up the number of officers killed by all agencies that report that year so changes over time are certainly partially due to different agencies reporting each year. Therefore, we will focus on interpreting the different between felony and accidental killings rather than counts over time - though even this may be off if agencies that reported more felony or more accidental killings differ in their reporting over time. Again we see that there are no officers killed accidentally, due to that variable not being reported, until 1971. The difference between officers killed by felony and killed accidentally is widest are the start of our data and narrows considerable until there are only several more felonious killings than accidental killings by the late 1990s. This trend reverses in the early 2010s with accidental killings decreasing and felonious killings increasing again. +\begin{figure} -The last several years of data have extremely few officers killed accidentally, with fewer than 10 a year since 2018 and even zero officers killed in 2021. According to the website [Officer Down Memorial Page](https://www.odmp.org/search/year?year=2021), there were 719 officers who died in 2021, including some that should meet the killed accidentally criteria.^[The vast majority of officers who died in 2021 died from Covid.] For example, 23 officers were reported to have been killed by an automobile crash. So this data on officers killed is incorrect, is an undercount, and should be used only with a great deal of caution. +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaOfficersGender-1} -
-The national number of officers killed by felony and killed accidentally, 1960-2023 -

(\#fig:leokaOfficersKilledNational)The national number of officers killed by felony and killed accidentally, 1960-2023

-
+} + +\caption{The percent of female and male sworn officers in Philadelphia, 1960-2023}(\#fig:leokaOfficersGender) +\end{figure} + + +### Officers killed + +There is almost no information about officers killed. The data only breaks this down into if they died "feloniously" which just means that someone killed them on purpose (e.g. shooting them, intentionally hitting them with a car) or if they died "accidentally" such as if they die during a car crash while on duty. The FBI actually collects more information on officer deaths than they release in this data. This includes the circumstances of each death such as the type of death (e.g. car crash, shooting, ambush, etc.), what weapon the offender had if feloniously killed, and even a detailed written summary of what occurred for each officer killed. They post this information in their annual LEOKA report which is part of their Crime in the United States report. The 2019 report, for example, can be found on their site [here](https://ucr.fbi.gov/leoka/2019/home). + +We can look at what data is available through Figure \@ref(fig:leokaOfficersKilled) which shows the number of Los Angeles Police Department officers killed over time. There are no accidental killings until 1975 though this is misleading because that accidental killings variable is not reported until 1971, which is a year in which many other variables in this data began reporting. So we actually have no idea how many officers were killed accidentally from 1960-1970 since this variable is always reported as 0. In general it seems like there is about one officer killed per year in recent decades while the period from 1980 to 2000 was the time of highest danger with as many as five officers killed in a single year. We can also see some trend changes with felonious killings more common than accidental killings in the 1990s and then accidental killings becoming far more common starting in 2000. + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaOfficersKilled-1} + +} + +\caption{The number of officers killed by felony and killed accidentally in New York City, 1960-2023}(\#fig:leokaOfficersKilled) +\end{figure} + +We can also look at the national number of officers killed as shown in Figure \@ref(fig:leokaOfficersKilledNational). Please note that this is simply summing up the number of officers killed by all agencies that report that year so changes over time are certainly partially due to different agencies reporting each year. Therefore, we will focus on interpreting the different between felony and accidental killings rather than counts over time - though even this may be off if agencies that reported more felony or more accidental killings differ in their reporting over time. Again we see that there are no officers killed accidentally, due to that variable not being reported, until 1971. The difference between officers killed by felony and killed accidentally is widest are the start of our data and narrows considerable until there are only several more felonious killings than accidental killings by the late 1990s. This trend reverses in the early 2010s with accidental killings decreasing and felonious killings increasing again. + +The last several years of data have extremely few officers killed accidentally, with fewer than 10 a year since 2018 and even zero officers killed in 2021. According to the website [Officer Down Memorial Page](https://www.odmp.org/search/year?year=2021), there were 719 officers who died in 2021, including some that should meet the killed accidentally criteria.^[The vast majority of officers who died in 2021 died from Covid.] For example, 23 officers were reported to have been killed by an automobile crash. So this data on officers killed is incorrect, is an undercount, and should be used only with a great deal of caution. + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaOfficersKilledNational-1} + +} + +\caption{The national number of officers killed by felony and killed accidentally, 1960-2023}(\#fig:leokaOfficersKilledNational) +\end{figure} ### Assaults by injury and weapon @@ -1997,17 +1887,25 @@ This data breaks down the monthly number of assaults on officers in a few differ We can start by looking at the breakdown of assaults by injury and weapon type for officers in the Los Angeles Police Department. Figure \@ref(fig:leokaAssaultTypeInjury) shows the number of assaults from all years reported for these categories. Over the complete time period there were almost 43,000 officers assaulted with about three-quarters of these assaults - 33,000 assaults - leading to no injuries. This data shows the number of officers assaulted, not unique officers, so an officer can potentially be included in the data multiple times if they are assaulted multiple times over a year. A little under a quarter of assaults lead to officer injury with most of these from unarmed offenders. Interestingly, there are far more gun and knife assaults where the officer is not injured than where the officer is injured. There are likely cases when the offender threatens the officer with the weapon but does not shoot or stab the officer. -
-The total number of assaults on officers by injury sustained and offender weapon in Los Angeles, 1960-2023. -

(\#fig:leokaAssaultTypeInjury)The total number of assaults on officers by injury sustained and offender weapon in Los Angeles, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaAssaultTypeInjury-1} + +} + +\caption{The total number of assaults on officers by injury sustained and offender weapon in Los Angeles, 1960-2023.}(\#fig:leokaAssaultTypeInjury) +\end{figure} We can also look at assaults over time. Figure \@ref(fig:leokaAssaultsInjuryYear) shows the number of assaults, assaults with injury, and assault without injury for the Los Angeles Police Department from 1960 to 2018. We can immediately see some data issues are there are years with no assaults recorded. And in the late-2000s there is a sudden drop from about 250 assaults with injuries per year in the previous few decades to nearly zero officer injuries reported a year. This strongly suggests some change in reporting rather than a true decrease in assaults with injuries. For the decades where the data is less obviously wrong, there is a consistent trend of most assaults leading to no injuries, though the distance between the number of injury and non-injury assaults fluctuates over time. -
-The annual number of assaults on officers by injury sustained in New York City, 1960-2023. -

(\#fig:leokaAssaultsInjuryYear)The annual number of assaults on officers by injury sustained in New York City, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaAssaultsInjuryYear-1} + +} + +\caption{The annual number of assaults on officers by injury sustained in New York City, 1960-2023.}(\#fig:leokaAssaultsInjuryYear) +\end{figure} ### Assaults by call type @@ -2031,10 +1929,14 @@ Figure \@ref(fig:leokaAssaultCallType) shows the number of assaults on Los Angel The most common type of call where officers are assaulted are disturbance calls which include domestic violence and reports of dangerous individuals such as people carrying guns in public. The least common call type is ambush calls, though in these calls the police are called to a scene by the offender who intends to assault or kill the officers, so is likely far more dangerous than other call types, even though it is rare. -
-Assaults on Los Angeles Police Department officers by type of call where they were assaulted at, 1960-2023. -

(\#fig:leokaAssaultCallType)Assaults on Los Angeles Police Department officers by type of call where they were assaulted at, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaAssaultCallType-1} + +} + +\caption{Assaults on Los Angeles Police Department officers by type of call where they were assaulted at, 1960-2023.}(\#fig:leokaAssaultCallType) +\end{figure} Within these call types is also a breakdown by offender weapon use, with the same weapons as above, and the type of officer assignment which is essentially if they are alone or not and if they are on foot or not. Finally, it says how many assaults are cleared by arrest or cleared through exceptional means, though it does not differentiate between the two. The shift assignment is essentially how they go through their normal day, if this is in a vehicle, alone, as a detective, or under a different assignment (including being off-duty). For example, being in a vehicle with two officers means that their normal assignment is driving in a vehicle, not that they were actually assaulted in said vehicle. This also does not necessarily mean that these are the only officers at the scene. It is simply the shift assignment of the officer who is assaulted. For example, if an officer who normally works alone in a vehicle shows up to a scene where other officers are present, and who are under different shift assignments, and gets assaulted - and no one else gets assaulted - that is an assault for officers "in a vehicle alone". @@ -2055,17 +1957,25 @@ Within these call types is also a breakdown by offender weapon use, with the sam We will look specifically at disturbance calls since they are the most common call type, at least for the Los Angeles Police Department. Figure \@ref(fig:leokaDisturbanceWeapon) shows the total number of disturbance assaults by offender weapon in Los Angeles. Most assaults have an unarmed offender with a sharp decline to the number of offenders with a weapon other than a gun or knife. Assaults by a gun and by a knife are the least common. -
-The number of assaults on Los Angeles Police Department officers in disturbance calls by the injury sustained by the officer, 1960-2023. -

(\#fig:leokaDisturbanceWeapon)The number of assaults on Los Angeles Police Department officers in disturbance calls by the injury sustained by the officer, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaDisturbanceWeapon-1} + +} + +\caption{The number of assaults on Los Angeles Police Department officers in disturbance calls by the injury sustained by the officer, 1960-2023.}(\#fig:leokaDisturbanceWeapon) +\end{figure} Again using disturbance calls for the Los Angeles Police Department, we can look at assaults by the officer assignment, as seen in Figure \@ref(fig:leokaShiftAssignment). In the vast majority of assaults it is of officers who are in a vehicle along with a partner. This drops very sharply to several hundred assaults on detectives who are assisting other officers and then increasingly declines to the other shift assignments to the least common assault being against detectives who are acting alone. So are officers in two-man vehicles are much higher risk of assaults than officers alone or of detectives? Almost certainly not. To determine the risk for officers we need to know how officers are generally deployed. If the vast majority of officers are in two-man cars then it makes sense that the vast majority of assaults are on these assignments. Like most FBI data - and most crime data in general - we have the numerator (in this case the number of assaults by shift assignment type) and do not have a proper denominator (such as the distribution of shift assignments for all LAPD officers) to determine a rate of risk. Without this we can present some descriptive statistics but cannot be more useful by determining, for example, if officers in certain shift assignments are at higher risks of being assaulted. -
-The number of assaults on Los Angeles Police Department officers in disturbance calls by the injury sustained by the shift assignment of the officer, 1960-2023. -

(\#fig:leokaShiftAssignment)The number of assaults on Los Angeles Police Department officers in disturbance calls by the injury sustained by the shift assignment of the officer, 1960-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/leokaShiftAssignment-1} + +} + +\caption{The number of assaults on Los Angeles Police Department officers in disturbance calls by the injury sustained by the shift assignment of the officer, 1960-2023.}(\#fig:leokaShiftAssignment) +\end{figure} ### Assaults by time @@ -2087,10 +1997,14 @@ The final breakdown in assaults is by the time they occur, divided into 12 two-h We will look at these time chunks in Figure \@ref(fig:phoenixAssaultTimes) which shows the total number of assaults by time of day from 1971 to 2018 in Phoenix, Arizona. The most common times for officers to be assaulted looks pretty similar to when crime is highest: late night and early morning. The 12:01am to 2am chunk is the most common time followed by 10pm to midnight, with assaults increasing at the day grows later and at its lowest point from 6-8am. This strongly suggests that officers are assaulted at crime scenes, such as responding to crimes or making arrests.^[In the chapters on NIBRS I will argue against placing too much trust about time which includes midnight, such as the 12:01am to 2am chunk here, because there is evidence that some agencies may use it as the default time when the true time is unknown. That probably happens here as well. While in nearly every officer assault the time should be known, there may still be instances where the reported time is unknown, such as an officer being assaulted at a certain time but forgetting to mark it when entering the report.] -
-The number of assaults against Phoenix Police Department officers by hourly grouping for all years with data available, 1971-2018. -

(\#fig:phoenixAssaultTimes)The number of assaults against Phoenix Police Department officers by hourly grouping for all years with data available, 1971-2018.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{07_leoka_files/figure-latex/phoenixAssaultTimes-1} + +} + +\caption{The number of assaults against Phoenix Police Department officers by hourly grouping for all years with data available, 1971-2018.}(\#fig:phoenixAssaultTimes) +\end{figure} @@ -2115,10 +2029,14 @@ This dataset measures how many months that an agency reports data over a year in In Figure \@ref(fig:arsonAgencies) we can see the annual number of agencies that reported at least one month of data using both measures. These measures are nearly identical every year with the last month reported having slightly more agencies reported, but they are effectively the same. This changes in 2018 as my measure declines considerably and then skyrockets to nearly 25,000 agencies in 2021 and 2022. The last month reported variable declines considerably in 2021, consistent with the FBI ending SRS collection, and then rebounds in 2022 when the FBI reopens SRS collection. How can there be more than 18k agencies reporting? The 18k number is the estimated number of agencies that are active: agencies that can respond to crimes and do investigations. Remember that SRS data goes back decades - the Offenses Known data is available since 1930. So agencies can come and go, with agencies shutting down or joining with other agencies. Over time this adds up to thousands of agencies other than the 18k we normal think about. -
-The annual number of police agencies that report at least month of data and all 12 months of data, using both measures of how many months are reported, 1979-2023. -

(\#fig:arsonAgencies)The annual number of police agencies that report at least month of data and all 12 months of data, using both measures of how many months are reported, 1979-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{08_arson_files/figure-latex/arsonAgencies-1} + +} + +\caption{The annual number of police agencies that report at least month of data and all 12 months of data, using both measures of how many months are reported, 1979-2023.}(\#fig:arsonAgencies) +\end{figure} @@ -2168,10 +2086,14 @@ Please note that this data is at the incident-level which means that having mult Clearances are reported in the month they occur, which may be different than the month when the arson happened. This can create the illusion that more crimes are solved than were reported in certain time periods. Figure \@ref(fig:arsonClearance), for example, shows the number of actual arsons (reports that are founded) and clearances for single-family home arsons in League City, Texas, a city of about 100,000 outside of Houston. In most years there were fewer clearances than arsons, but in four years (1982, 1981, 1992, and 2007) there were more clearances than arsons. -
-The annual number of single-family home arsons and clearances in League City, Texas, 1979-2023. -

(\#fig:arsonClearance)The annual number of single-family home arsons and clearances in League City, Texas, 1979-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{08_arson_files/figure-latex/arsonClearance-1} + +} + +\caption{The annual number of single-family home arsons and clearances in League City, Texas, 1979-2023.}(\#fig:arsonClearance) +\end{figure} ### Cleared for arsons where all offenders are under age 18 @@ -2189,17 +2111,25 @@ The final variable is the estimated cost of the arson. This is how much the poli As with other SRS datasets, the arson data sometimes includes clear data entry errors, such as reporting implausibly high numbers of arsons for small jurisdictions or recording unrealistic damage estimates. For example, Figure \@ref(fig:residenceArson) shows the annual number of single-family home arsons in Byron City, Illinois, which has a population of slightly over 3,600 people. In every year there are zero arsons reported until 2003 when 469 arsons are reported. Since it is exceedingly unlikely that suddenly an eighth of the city each suffered different arson attacks, and that the city never again had a residence arson, this is almost certainly a data entry error. As arsons are relatively rare, having errors - and especially ones like this - can drastically change the results of your analysis so it is important to check your data carefully for more errors. -
-Annual single-family home arsons in Byron City, Illinois. The sudden spike to over 400 arsons in a single year is an example of data errors in this dataset, 1979-2023. -

(\#fig:residenceArson)Annual single-family home arsons in Byron City, Illinois. The sudden spike to over 400 arsons in a single year is an example of data errors in this dataset, 1979-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{08_arson_files/figure-latex/residenceArson-1} + +} + +\caption{Annual single-family home arsons in Byron City, Illinois. The sudden spike to over 400 arsons in a single year is an example of data errors in this dataset, 1979-2023. }(\#fig:residenceArson) +\end{figure} There are also cases where it is less clear when a value is a data error or is simply due to an outlier - but real - value. For example, Figure \@ref(fig:arsonCost) shows the annual average cost of a single-family home fire in Los Angeles, California. In most years the value is low. Since an arson can cause little or no damage, these low values likely mean that on average only part of the house was damaged, rather than the entire house burning down. In 2009, however, the average damage is about $540,000 per arson. Is this a data entry error that simply inputs a damage value that is too high? It certainly appears to be a data error since it is a sudden huge jump in damage value. However, it could also be that some extraordinarily expensive homes were destroyed that year. In 2009, Los Angeles reported only 63 single-family home arsons so having one, or a few, super mansions - which LA has plenty of - destroyed could mean that this huge value is real. -
-The annual cost per arson for single family homes in Los Angeles, California, 1979-2023. -

(\#fig:arsonCost)The annual cost per arson for single family homes in Los Angeles, California, 1979-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{08_arson_files/figure-latex/arsonCost-1} + +} + +\caption{The annual cost per arson for single family homes in Los Angeles, California, 1979-2023.}(\#fig:arsonCost) +\end{figure} @@ -2223,31 +2153,47 @@ We will start by looking at how many agencies report hate crime each year. This Figure \@ref(fig:hateAgencies) shows the number of agencies that report at least one hate crime incident in that year. During the first year of data in 1991 there were about 750 agencies reporting and that grew steadily to about 2,000 agencies in year 2000. From there it increased a bit over the next decade before declining to below 1,750 in the early 2010s and rising again to around 3,000 agencies at the end of our data. -
-The annual number of police agencies that report at least one hate crime incident in that year. -

(\#fig:hateAgencies)The annual number of police agencies that report at least one hate crime incident in that year.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateAgencies-1} + +} + +\caption{The annual number of police agencies that report at least one hate crime incident in that year.}(\#fig:hateAgencies) +\end{figure} The 3,000 or so agencies that report each year are not the same every year. Figure \@ref(fig:hateCrimesEver) shows the cumulative number of agencies that have reported at least one hate crime between 1991 and 2022. There is a steady growth in the cumulative number of agencies, with about 350 new agencies each year. In each year some new agencies report hate crimes for the first time while some agencies that reported a hate crime in previous years do not report any hate crimes in the current year. -
-The cumulative number of agencies that have reported one or more hate crimes between 1991 and 2022 -

(\#fig:hateCrimesEver)The cumulative number of agencies that have reported one or more hate crimes between 1991 and 2022

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimesEver-1} + +} + +\caption{The cumulative number of agencies that have reported one or more hate crimes between 1991 and 2022}(\#fig:hateCrimesEver) +\end{figure} Figure \@ref(fig:hateCrimesPreviousYear) puts this into hard numbers by showing the percent of agencies who reported a hate crime in a certain year who *also* reported a hate crime in the previous year. For most years between 50% and 60% of agencies which reported a hate crime in the year shown on the x-axis also reported a hate crime in the previous year, indicating somewhat high consistency in which agencies have hate crimes. -
-The percent of agencies that report a hate crime in a given year that also reported a hate crime in the previous year, 1992-2023 -

(\#fig:hateCrimesPreviousYear)The percent of agencies that report a hate crime in a given year that also reported a hate crime in the previous year, 1992-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimesPreviousYear-1} + +} + +\caption{The percent of agencies that report a hate crime in a given year that also reported a hate crime in the previous year, 1992-2023}(\#fig:hateCrimesPreviousYear) +\end{figure} Another way to understand reporting is to look at the number of reported hate crimes by state and see which states report and which do not. Figure \@ref(fig:hateCrimesMap) does this for 2022 data by showing the number of reported hate crime incidents by state. Unfortunately what we have done here is basically create a population map, though with California as a clear outlier. Counting up and graphing or mapping the number of crimes is a common first response to getting new data but is not actually that helpful. Here we see that the states with the biggest populations - California, New York, Texas, - have the most hate crimes. To be more useful let us look at state-level reporting after adjusting to the number of agencies in the state and to the civilian population. -
-Total reported hate crimes by state, 2023 -

(\#fig:hateCrimesMap)Total reported hate crimes by state, 2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimesMap-1} + +} + +\caption{Total reported hate crimes by state, 2023}(\#fig:hateCrimesMap) +\end{figure} We will start with the rate of agencies reporting though this incorrectly assumes that each agency in the state is comparable. For example, say a state has 10 agencies; one that has jurisdiction over 91% of the state's population, and nine that have jurisdiction over 1% of the population each. If the one big agency reports and none of the nine do then we will say that only 10% of agencies report data. But this one covers 91% of the state so this is actually great coverage. Conversely, having that one agency not report means that even with the other nine agencies reporting we actually cover less than one-tenth of the state's population. Still, this is a useful starting point for understanding this data's reporting and usually answering these kinds of questions requires multiple answers that are all wrong in their own way. @@ -2256,10 +2202,14 @@ Figure \@ref(fig:statePercentReporting) shows the percent of agencies for each s In 15 states, fewer than 10% of agencies reported a hate crime, and in one state (Pennsylvania) fewer than 5% of agencies did so. One interesting finding from this map is the more liberal states - New Jersey, Washington, California, Connecticut, etc. - have the highest share of agencies reporting a hate crime, indicating that the culture of the state may influence either the propensity of hate crimes, whether victims report, whether agencies report hate crimes, or simply that more hate crimes happen in these areas. -
-The percent of agencies in each state that reported at least one hate crime in 2022, excluding agencies covered by another agency. -

(\#fig:statePercentReporting)The percent of agencies in each state that reported at least one hate crime in 2022, excluding agencies covered by another agency.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/statePercentReporting-1} + +} + +\caption{The percent of agencies in each state that reported at least one hate crime in 2022, excluding agencies covered by another agency.}(\#fig:statePercentReporting) +\end{figure} To examine how population affects our results, Figure \@ref(fig:statePercentReportingPop) shows the percent of each state's population that is covered by an agency that reported at least one hate crime. Results are similar to Figure \@ref(fig:statePercentReporting) but now show that there is more reporting than it appeared in that figure. That is because while not all agencies report a hate crime, the ones that do report are generally larger (in terms of population) than the ones that do not. And that is to be expected since smaller agencies will have fewer crimes than larger ones meaning that it is less likely that have a hate crime. @@ -2269,10 +2219,14 @@ Is this good? We do not necessarily want 100% of agencies to report a hate crime This is also a fairly poor measure of reporting as it just measures agencies reporting at least one hate crime. If an agency had many hate crimes but only reported very few - and here let us think about that as both agencies not knowing a crime was a hate crime and also knowing but not reporting a hate crime - that is also quite bad for our understanding of hate crimes. However, it is far more likely that a hate crime is not reported than a non-hate crime being reported as a hate crime. Since we know the likely direction of any errors we can think about this entire dataset as being the lower-bound of hate crime data. -
-The percent of population in each state in agencies that reported at least one hate crime in 2022, excluding agencies that are covered by another agency. -

(\#fig:statePercentReportingPop)The percent of population in each state in agencies that reported at least one hate crime in 2022, excluding agencies that are covered by another agency.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/statePercentReportingPop-1} + +} + +\caption{The percent of population in each state in agencies that reported at least one hate crime in 2022, excluding agencies that are covered by another agency.}(\#fig:statePercentReportingPop) +\end{figure} ## Tree of Life synagogue shooting {#treeOfLife} @@ -2293,17 +2247,25 @@ This data says the exact date that the hate crime occurred on - though not the d -
-The day of the week that hate crimes occurred on, 1991-2023 -

(\#fig:hateCrimesByDay)The day of the week that hate crimes occurred on, 1991-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimesByDay-1} + +} + +\caption{The day of the week that hate crimes occurred on, 1991-2023}(\#fig:hateCrimesByDay) +\end{figure} We can also look at which day of the month is most common, as shown in Figure \@ref(fig:hateCrimesByMonthDay). There's no pattern that I can see other than the the 1st of the most has the most hate crimes and the end of the month has the fewest. Not all months have more than 28 days so it makes sense that the 29th, 30th, and 31st are the least common days. Is the 1st of the month really the most dangerous? I think this is likely just a quirk of the data, and is something we also see in NIBRS data. When an agency does not report an actual date they may use the 1st of the month as a placeholder which then looks to us like the 1st is an especially prolific day for hate crimes. -
-The day of the month that hate crimes occurred on, 1991-2023 -

(\#fig:hateCrimesByMonthDay)The day of the month that hate crimes occurred on, 1991-2023

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimesByMonthDay-1} + +} + +\caption{The day of the month that hate crimes occurred on, 1991-2023}(\#fig:hateCrimesByMonthDay) +\end{figure} ### The bias motivation (who the hate is against) @@ -2323,229 +2285,89 @@ This sorting makes it easy to see the most common bias motivations, but that is And even this is not that useful since you really need a much deeper dive into the data before pulling out these seemingly simple statistics. For example, maybe areas with more Jewish people have better reporting than areas with more Black people. Or that Jewish victims would report to the police at higher rates than Black victims. Maybe these are both true at certain times between 1992 and 2022 but have changed over the years. It is not hard to think of possible explanations for differences between groups so without running down each of these explanations I recommend caution before putting out even something as seemingly simple at the number of crimes by bias group. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:hateBiasMotivation)The bias motivation for hate crime incidents. In incidents with multiple bias motivation, this shows only the first bias motivation recorded.
Bias Motivation First Year Reported # of Incidents % of Incidents
Total 252,093 100\%
Anti-Black 1991 84,508 33.52\%
Anti-Jewish 1991 31,838 12.63\%
Anti-White 1991 28,192 11.18\%
Anti-Gay (Male) 1991 24,927 9.89\%
Anti-Hispanic Or Latino 1991 16,231 6.44\%
Anti-Other Race, Ethnicity, Ancestry, Or National Origin 1991 11,899 4.72\%
Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 1991 8,684 3.44\%
Anti-Asian 1991 8,088 3.21\%
Anti-Multiple Races, Group 1991 5,876 2.33\%
Anti-Lesbian (Female) 1991 5,041 2.00\%
Anti-Islamic (Muslim) 1991 4,468 1.77\%
Anti-Other Religion 1991 3,741 1.48\%
Anti-American Indian Or Native Alaskan 1991 2,878 1.14\%
Anti-Catholic 1991 1,894 0.75\%
Anti-Transgender 2013 1,855 0.74\%
Anti-Arab 1991 1,633 0.65\%
Anti-Mental Disability 1997 1,439 0.57\%
Anti-Protestant 1991 1,389 0.55\%
Anti-Multiple Religions, Group 1991 1,352 0.54\%
Anti-Physical Disability 1997 870 0.35\%
Anti-Sikh 2015 821 0.33\%
Anti-Bisexual 1991 684 0.27\%
Anti-Gender Non-Conforming 2012 653 0.26\%
Anti-Heterosexual 1991 627 0.25\%
Anti-Female 2012 539 0.21\%
Anti-Other Christian 2015 472 0.19\%
Anti-Eastern Orthodox (Greek, Russian, Other) 2015 441 0.17\%
Anti-Atheism/Agnosticism 1991 218 0.09\%
Anti-Native Hawaiian Or Other Pacific Islander 2013 198 0.08\%
Anti-Male 2013 194 0.08\%
Anti-Buddhist 2015 130 0.05\%
Anti-Hindu 2015 128 0.05\%
Anti-Church of Jesus Christ (Mormon) 2015 118 0.05\%
Anti-Jehovahs Witness 2015 67 0.03\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:hateBiasMotivation)The bias motivation for hate crime incidents. In incidents with multiple bias motivation, this shows only the first bias motivation recorded.}\\ +\hline +Bias Motivation & First Year Reported & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:hateBiasMotivation)The bias motivation for hate crime incidents. In incidents with multiple bias motivation, this shows only the first bias motivation recorded. \textit{(continued)}}\\ +\hline +Bias Motivation & First Year Reported & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Total & & 252,093 & 100\textbackslash{}\%\\ +\hline +Anti-Black & 1991 & 84,508 & 33.52\textbackslash{}\%\\ +\hline +Anti-Jewish & 1991 & 31,838 & 12.63\textbackslash{}\%\\ +\hline +Anti-White & 1991 & 28,192 & 11.18\textbackslash{}\%\\ +\hline +Anti-Gay (Male) & 1991 & 24,927 & 9.89\textbackslash{}\%\\ +\hline +Anti-Hispanic Or Latino & 1991 & 16,231 & 6.44\textbackslash{}\%\\ +\hline +Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 1991 & 11,899 & 4.72\textbackslash{}\%\\ +\hline +Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 1991 & 8,684 & 3.44\textbackslash{}\%\\ +\hline +Anti-Asian & 1991 & 8,088 & 3.21\textbackslash{}\%\\ +\hline +Anti-Multiple Races, Group & 1991 & 5,876 & 2.33\textbackslash{}\%\\ +\hline +Anti-Lesbian (Female) & 1991 & 5,041 & 2.00\textbackslash{}\%\\ +\hline +Anti-Islamic (Muslim) & 1991 & 4,468 & 1.77\textbackslash{}\%\\ +\hline +Anti-Other Religion & 1991 & 3,741 & 1.48\textbackslash{}\%\\ +\hline +Anti-American Indian Or Native Alaskan & 1991 & 2,878 & 1.14\textbackslash{}\%\\ +\hline +Anti-Catholic & 1991 & 1,894 & 0.75\textbackslash{}\%\\ +\hline +Anti-Transgender & 2013 & 1,855 & 0.74\textbackslash{}\%\\ +\hline +Anti-Arab & 1991 & 1,633 & 0.65\textbackslash{}\%\\ +\hline +Anti-Mental Disability & 1997 & 1,439 & 0.57\textbackslash{}\%\\ +\hline +Anti-Protestant & 1991 & 1,389 & 0.55\textbackslash{}\%\\ +\hline +Anti-Multiple Religions, Group & 1991 & 1,352 & 0.54\textbackslash{}\%\\ +\hline +Anti-Physical Disability & 1997 & 870 & 0.35\textbackslash{}\%\\ +\hline +Anti-Sikh & 2015 & 821 & 0.33\textbackslash{}\%\\ +\hline +Anti-Bisexual & 1991 & 684 & 0.27\textbackslash{}\%\\ +\hline +Anti-Gender Non-Conforming & 2012 & 653 & 0.26\textbackslash{}\%\\ +\hline +Anti-Heterosexual & 1991 & 627 & 0.25\textbackslash{}\%\\ +\hline +Anti-Female & 2012 & 539 & 0.21\textbackslash{}\%\\ +\hline +Anti-Other Christian & 2015 & 472 & 0.19\textbackslash{}\%\\ +\hline +Anti-Eastern Orthodox (Greek, Russian, Other) & 2015 & 441 & 0.17\textbackslash{}\%\\ +\hline +Anti-Atheism/Agnosticism & 1991 & 218 & 0.09\textbackslash{}\%\\ +\hline +Anti-Native Hawaiian Or Other Pacific Islander & 2013 & 198 & 0.08\textbackslash{}\%\\ +\hline +Anti-Male & 2013 & 194 & 0.08\textbackslash{}\%\\ +\hline +Anti-Buddhist & 2015 & 130 & 0.05\textbackslash{}\%\\ +\hline +Anti-Hindu & 2015 & 128 & 0.05\textbackslash{}\%\\ +\hline +Anti-Church of Jesus Christ (Mormon) & 2015 & 118 & 0.05\textbackslash{}\%\\ +\hline +Anti-Jehovahs Witness & 2015 & 67 & 0.03\textbackslash{}\%\\ +\hline +\end{longtable} @@ -2561,4425 +2383,1326 @@ Each hate crime incident can cover up to 10 different crimes occurring - for exa Figure \@ref(fig:crimesPerHateCrime) shows the number of crimes per incident for each hate crime reported between 1991 and 2022. In 96.6% of cases, there is only one offense in that incident.^[In 0.0004% of hate crimes there is no recorded offense. This is not shown in the graph.] This drops sharply to 3.2% of incidents having two offenses, 0.21% having three offenses, 0.019% having four offenses, and 0.002% having five offenses. Even though this data does allow up to 10 offenses per hate crime incident, there has never been a recorded case with more than five offenses. Results are nearly identical when examining the number of bias motivations and locations reported in an incident. -
-The number of offenses per hate crime incident. -

(\#fig:crimesPerHateCrime)The number of offenses per hate crime incident.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/crimesPerHateCrime-1} + +} + +\caption{The number of offenses per hate crime incident.}(\#fig:crimesPerHateCrime) +\end{figure} Nearly all hate crimes are vandalism/destruction of property (30%), intimidation (30%), and simple assault (20%) or aggravated assault (11%) with no remaining crime making up more than 2% of total hate crimes. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:hateOffense)The offense type for hate crime incidents. In incidents with multiple offense types, this shows only the first offense type recorded.
Offense First Year Reported # of Incidents % of Incidents
Total 252,094 100\%
Destruction/Damage/Vandalism of Property 1991 75,524 29.96\%
Assault Offenses - Intimidation 1991 75,381 29.90\%
Assault Offenses - Simple Assault 1991 50,410 20.00\%
Assault Offenses - Aggravated Assault 1991 28,127 11.16\%
Robbery 1991 4,509 1.79\%
Burglary/Breaking And Entering 1991 4,023 1.60\%
Larceny/Theft Offenses - All Other Larceny 1993 3,010 1.19\%
Arson 1991 1,518 0.60\%
Drug/Narcotic Offenses - Drug/Narcotic Violations 1993 1,462 0.58\%
Larceny/Theft Offenses - Theft From Motor Vehicle 1993 942 0.37\%
Larceny/Theft Offenses - Other 1991 925 0.37\%
Larceny/Theft Offenses - Shoplifting 1993 853 0.34\%
Larceny/Theft Offenses - Theft From Building 1994 685 0.27\%
Motor Vehicle Theft 1992 614 0.24\%
Weapon Law Violations 1993 501 0.20\%
Drug/Narcotic Offenses - Drug Equipment Violations 1995 403 0.16\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game 1997 378 0.15\%
Murder/Nonnegligent Manslaughter 1991 348 0.14\%
Sex Offenses - Rape 1991 329 0.13\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 1993 265 0.11\%
Sex Offenses - Fondling - Indecent Liberties/Child Molest 1993 265 0.11\%
Counterfeiting/Forgery 1993 256 0.10\%
Fraud Offenses - Credit Card/Atm Fraud 1995 189 0.07\%
Kidnapping/Abduction 1994 173 0.07\%
Fraud Offenses - Impersonation 2001 155 0.06\%
Stolen Property Offenses (Receiving, Selling, Etc.) 1996 148 0.06\%
Fraud Offenses - Other 2016 122 0.05\%
Pornography/Obscene Material 1995 89 0.04\%
Sex Offenses - Sodomy 1995 86 0.03\%
Extortion/Blackmail 1997 77 0.03\%
Embezzlement 1995 71 0.03\%
Sex Offenses - Sexual Assault With An Object 1996 50 0.02\%
Larceny/Theft Offenses - Purse-Snatching 1995 31 0.01\%
Larceny/Theft Offenses - Pocket-Picking 1996 30 0.01\%
Fraud Offenses - Wire Fraud 2006 29 0.01\%
Sex Offenses - Statutory Rape 1999 22 0.01\%
Undocumented Code 2018 17 0.01\%
Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device 1999 16 0.01\%
Prostitution Offenses - Prostitution 2001 15 0.01\%
Fraud Offenses - Welfare Fraud 1996 10 0.00\%
Negligent Manslaughter 1999 8 0.00\%
Prostitution Offenses - Assisting Or Promoting Prostitution 2013 7 0.00\%
Sex Offenses - Incest 1997 7 0.00\%
Bribery 2014 6 0.00\%
Human Trafficking - Commercial Sex Acts 2017 4 0.00\%
Prostitution Offenses - Purchasing Prostitution 2013 2 0.00\%
Human Trafficking - Involuntary Servitude 2021 1 0.00\%
Gambling Offenses - Betting/Wagering 2017 1 0.00\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:hateOffense)The offense type for hate crime incidents. In incidents with multiple offense types, this shows only the first offense type recorded.}\\ +\hline +Offense & First Year Reported & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:hateOffense)The offense type for hate crime incidents. In incidents with multiple offense types, this shows only the first offense type recorded. \textit{(continued)}}\\ +\hline +Offense & First Year Reported & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Total & & 252,094 & 100\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & 1991 & 75,524 & 29.96\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & 1991 & 75,381 & 29.90\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & 1991 & 50,410 & 20.00\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & 1991 & 28,127 & 11.16\textbackslash{}\%\\ +\hline +Robbery & 1991 & 4,509 & 1.79\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & 1991 & 4,023 & 1.60\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & 1993 & 3,010 & 1.19\textbackslash{}\%\\ +\hline +Arson & 1991 & 1,518 & 0.60\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & 1993 & 1,462 & 0.58\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & 1993 & 942 & 0.37\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Other & 1991 & 925 & 0.37\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & 1993 & 853 & 0.34\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & 1994 & 685 & 0.27\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & 1992 & 614 & 0.24\textbackslash{}\%\\ +\hline +Weapon Law Violations & 1993 & 501 & 0.20\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & 1995 & 403 & 0.16\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & 1997 & 378 & 0.15\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & 1991 & 348 & 0.14\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & 1991 & 329 & 0.13\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 1993 & 265 & 0.11\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling - Indecent Liberties/Child Molest & 1993 & 265 & 0.11\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & 1993 & 256 & 0.10\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & 1995 & 189 & 0.07\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & 1994 & 173 & 0.07\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & 2001 & 155 & 0.06\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & 1996 & 148 & 0.06\textbackslash{}\%\\ +\hline +Fraud Offenses - Other & 2016 & 122 & 0.05\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & 1995 & 89 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & 1995 & 86 & 0.03\textbackslash{}\%\\ +\hline +Extortion/Blackmail & 1997 & 77 & 0.03\textbackslash{}\%\\ +\hline +Embezzlement & 1995 & 71 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & 1996 & 50 & 0.02\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & 1995 & 31 & 0.01\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & 1996 & 30 & 0.01\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & 2006 & 29 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & 1999 & 22 & 0.01\textbackslash{}\%\\ +\hline +Undocumented Code & 2018 & 17 & 0.01\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & 1999 & 16 & 0.01\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & 2001 & 15 & 0.01\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & 1996 & 10 & 0.00\textbackslash{}\%\\ +\hline +Negligent Manslaughter & 1999 & 8 & 0.00\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & 2013 & 7 & 0.00\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & 1997 & 7 & 0.00\textbackslash{}\%\\ +\hline +Bribery & 2014 & 6 & 0.00\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & 2017 & 4 & 0.00\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & 2013 & 2 & 0.00\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & 2021 & 1 & 0.00\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & 2017 & 1 & 0.00\textbackslash{}\%\\ +\hline +\end{longtable} Agencies that report to the FBI's National Incident-Based Reporting System (NIBRS) can also report bias motivations for their crimes, and these reports are included in this dataset. One tricky thing is that the crimes included are different depending on if the agency reported through NIBRS or to the dataset directly, and are not NIBRS reporting agencies. NIBRS agencies report all of the crimes as the agencies directly submitting SRS data, but have a wider variety of crimes they can report. In practice, however, both NIBRS and SRS reporting agencies can report the most common offenses so there is relatively little difference. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:hateBiasOffense)The number and percent of offenses by bias motivation, 2023.
Bias Motivation Offense \# of Incidents \% of Incidents
...1 Anti-American Indian Or Native Alaskan Assault Offenses - Simple Assault 561 19.49\%
...2 Anti-American Indian Or Native Alaskan Assault Offenses - Intimidation 432 15.01\%
...3 Anti-American Indian Or Native Alaskan Destruction/Damage/Vandalism of Property 415 14.42\%
...4 Anti-American Indian Or Native Alaskan Assault Offenses - Aggravated Assault 284 9.87\%
...5 Anti-American Indian Or Native Alaskan Larceny/Theft Offenses - All Other Larceny 202 7.02\%
...6 Anti-American Indian Or Native Alaskan All Other 984 34.16\%
...7 Anti-American Indian Or Native Alaskan Total 2,878 100\%
...8 Anti-Arab Assault Offenses - Intimidation 634 38.82\%
...9 Anti-Arab Assault Offenses - Simple Assault 385 23.58\%
...10 Anti-Arab Destruction/Damage/Vandalism of Property 308 18.86\%
...11 Anti-Arab Assault Offenses - Aggravated Assault 182 11.15\%
...12 Anti-Arab Burglary/Breaking And Entering 21 1.29\%
...13 Anti-Arab All Other 103 6.27\%
...14 Anti-Arab Total 1,633 100\%
...15 Anti-Asian Assault Offenses - Intimidation 2,683 33.17\%
...16 Anti-Asian Destruction/Damage/Vandalism of Property 2,067 25.56\%
...17 Anti-Asian Assault Offenses - Simple Assault 1,920 23.74\%
...18 Anti-Asian Assault Offenses - Aggravated Assault 803 9.93\%
...19 Anti-Asian Burglary/Breaking And Entering 157 1.94\%
...20 Anti-Asian All Other 458 5.63\%
...21 Anti-Asian Total 8,088 100\%
...22 Anti-Atheism/Agnosticism Destruction/Damage/Vandalism of Property 75 34.40\%
...23 Anti-Atheism/Agnosticism Assault Offenses - Simple Assault 25 11.47\%
...24 Anti-Atheism/Agnosticism Larceny/Theft Offenses - All Other Larceny 24 11.01\%
...25 Anti-Atheism/Agnosticism Assault Offenses - Intimidation 21 9.63\%
...26 Anti-Atheism/Agnosticism Burglary/Breaking And Entering 14 6.42\%
...27 Anti-Atheism/Agnosticism All Other 59 27.09\%
...28 Anti-Atheism/Agnosticism Total 218 100\%
...29 Anti-Bisexual Assault Offenses - Simple Assault 196 28.65\%
...30 Anti-Bisexual Assault Offenses - Intimidation 134 19.59\%
...31 Anti-Bisexual Destruction/Damage/Vandalism of Property 93 13.60\%
...32 Anti-Bisexual Assault Offenses - Aggravated Assault 67 9.80\%
...33 Anti-Bisexual Larceny/Theft Offenses - All Other Larceny 47 6.87\%
...34 Anti-Bisexual All Other 147 21.49\%
...35 Anti-Bisexual Total 684 100\%
...36 Anti-Black Assault Offenses - Intimidation 30,996 36.68\%
...37 Anti-Black Destruction/Damage/Vandalism of Property 24,150 28.58\%
...38 Anti-Black Assault Offenses - Simple Assault 15,481 18.32\%
...39 Anti-Black Assault Offenses - Aggravated Assault 10,128 11.98\%
...40 Anti-Black Burglary/Breaking And Entering 1,003 1.19\%
...41 Anti-Black All Other 2,750 3.23\%
...42 Anti-Black Total 84,508 100\%
...43 Anti-Buddhist Destruction/Damage/Vandalism of Property 41 31.54\%
...44 Anti-Buddhist Assault Offenses - Simple Assault 17 13.08\%
...45 Anti-Buddhist Larceny/Theft Offenses - All Other Larceny 13 10.00\%
...46 Anti-Buddhist Assault Offenses - Aggravated Assault 8 6.15\%
...47 Anti-Buddhist Burglary/Breaking And Entering 6 4.62\%
...48 Anti-Buddhist All Other 45 34.65\%
...49 Anti-Buddhist Total 130 100\%
...50 Anti-Catholic Destruction/Damage/Vandalism of Property 1,115 58.87\%
...51 Anti-Catholic Assault Offenses - Intimidation 213 11.25\%
...52 Anti-Catholic Assault Offenses - Simple Assault 97 5.12\%
...53 Anti-Catholic Burglary/Breaking And Entering 86 4.54\%
...54 Anti-Catholic Larceny/Theft Offenses - All Other Larceny 63 3.33\%
...55 Anti-Catholic All Other 320 16.89\%
...56 Anti-Catholic Total 1,894 100\%
...57 Anti-Church of Jesus Christ (Mormon) Destruction/Damage/Vandalism of Property 51 43.22\%
...58 Anti-Church of Jesus Christ (Mormon) Assault Offenses - Intimidation 14 11.86\%
...59 Anti-Church of Jesus Christ (Mormon) Burglary/Breaking And Entering 13 11.02\%
...60 Anti-Church of Jesus Christ (Mormon) Assault Offenses - Simple Assault 12 10.17\%
...61 Anti-Church of Jesus Christ (Mormon) Arson 7 5.93\%
...62 Anti-Church of Jesus Christ (Mormon) All Other 21 17.78\%
...63 Anti-Church of Jesus Christ (Mormon) Total 118 100\%
...64 Anti-Eastern Orthodox (Greek, Russian, Other) Destruction/Damage/Vandalism of Property 74 16.78\%
...65 Anti-Eastern Orthodox (Greek, Russian, Other) Assault Offenses - Simple Assault 49 11.11\%
...66 Anti-Eastern Orthodox (Greek, Russian, Other) Larceny/Theft Offenses - All Other Larceny 49 11.11\%
...67 Anti-Eastern Orthodox (Greek, Russian, Other) Drug/Narcotic Offenses - Drug/Narcotic Violations 41 9.30\%
...68 Anti-Eastern Orthodox (Greek, Russian, Other) Burglary/Breaking And Entering 34 7.71\%
...69 Anti-Eastern Orthodox (Greek, Russian, Other) All Other 194 44.02\%
...70 Anti-Eastern Orthodox (Greek, Russian, Other) Total 441 100\%
...71 Anti-Female Assault Offenses - Intimidation 149 27.64\%
...72 Anti-Female Assault Offenses - Simple Assault 137 25.42\%
...73 Anti-Female Assault Offenses - Aggravated Assault 69 12.80\%
...74 Anti-Female Destruction/Damage/Vandalism of Property 67 12.43\%
...75 Anti-Female Sex Offenses - Rape 16 2.97\%
...76 Anti-Female All Other 101 18.76\%
...77 Anti-Female Total 539 100\%
...78 Anti-Gay (Male) Assault Offenses - Simple Assault 7,944 31.87\%
...79 Anti-Gay (Male) Assault Offenses - Intimidation 6,771 27.16\%
...80 Anti-Gay (Male) Destruction/Damage/Vandalism of Property 4,271 17.13\%
...81 Anti-Gay (Male) Assault Offenses - Aggravated Assault 3,999 16.04\%
...82 Anti-Gay (Male) Robbery 1,079 4.33\%
...83 Anti-Gay (Male) All Other 863 3.48\%
...84 Anti-Gay (Male) Total 24,927 100\%
...85 Anti-Gender Non-Conforming Assault Offenses - Simple Assault 150 22.97\%
...86 Anti-Gender Non-Conforming Destruction/Damage/Vandalism of Property 104 15.93\%
...87 Anti-Gender Non-Conforming Assault Offenses - Intimidation 74 11.33\%
...88 Anti-Gender Non-Conforming Larceny/Theft Offenses - All Other Larceny 58 8.88\%
...89 Anti-Gender Non-Conforming Assault Offenses - Aggravated Assault 57 8.73\%
...90 Anti-Gender Non-Conforming All Other 210 32.16\%
...91 Anti-Gender Non-Conforming Total 653 100\%
...92 Anti-Heterosexual Assault Offenses - Intimidation 156 24.88\%
...93 Anti-Heterosexual Destruction/Damage/Vandalism of Property 154 24.56\%
...94 Anti-Heterosexual Assault Offenses - Simple Assault 116 18.50\%
...95 Anti-Heterosexual Assault Offenses - Aggravated Assault 43 6.86\%
...96 Anti-Heterosexual Larceny/Theft Offenses - All Other Larceny 24 3.83\%
...97 Anti-Heterosexual All Other 134 21.41\%
...98 Anti-Heterosexual Total 627 100\%
...99 Anti-Hindu Assault Offenses - Intimidation 39 30.47\%
...100 Anti-Hindu Destruction/Damage/Vandalism of Property 33 25.78\%
...101 Anti-Hindu Assault Offenses - Simple Assault 25 19.53\%
...102 Anti-Hindu Assault Offenses - Aggravated Assault 8 6.25\%
...103 Anti-Hindu Burglary/Breaking And Entering 5 3.91\%
...104 Anti-Hindu All Other 18 14.04\%
...105 Anti-Hindu Total 128 100\%
...106 Anti-Hispanic Or Latino Assault Offenses - Intimidation 5,033 31.01\%
...107 Anti-Hispanic Or Latino Assault Offenses - Simple Assault 4,278 26.36\%
...108 Anti-Hispanic Or Latino Assault Offenses - Aggravated Assault 2,994 18.45\%
...109 Anti-Hispanic Or Latino Destruction/Damage/Vandalism of Property 2,694 16.60\%
...110 Anti-Hispanic Or Latino Robbery 544 3.35\%
...111 Anti-Hispanic Or Latino All Other 688 4.24\%
...112 Anti-Hispanic Or Latino Total 16,231 100\%
...113 Anti-Islamic (Muslim) Assault Offenses - Intimidation 1,808 40.47\%
...114 Anti-Islamic (Muslim) Destruction/Damage/Vandalism of Property 1,174 26.28\%
...115 Anti-Islamic (Muslim) Assault Offenses - Simple Assault 856 19.16\%
...116 Anti-Islamic (Muslim) Assault Offenses - Aggravated Assault 332 7.43\%
...117 Anti-Islamic (Muslim) Arson 61 1.37\%
...118 Anti-Islamic (Muslim) All Other 237 5.28\%
...119 Anti-Islamic (Muslim) Total 4,468 100\%
...120 Anti-Jehovahs Witness Destruction/Damage/Vandalism of Property 22 32.84\%
...121 Anti-Jehovahs Witness Assault Offenses - Intimidation 10 14.93\%
...122 Anti-Jehovahs Witness Assault Offenses - Simple Assault 9 13.43\%
...123 Anti-Jehovahs Witness Assault Offenses - Aggravated Assault 6 8.96\%
...124 Anti-Jehovahs Witness Larceny/Theft Offenses - All Other Larceny 4 5.97\%
...125 Anti-Jehovahs Witness All Other 16 23.89\%
...126 Anti-Jehovahs Witness Total 67 100\%
...127 Anti-Jewish Destruction/Damage/Vandalism of Property 20,381 64.01\%
...128 Anti-Jewish Assault Offenses - Intimidation 8,246 25.90\%
...129 Anti-Jewish Assault Offenses - Simple Assault 1,665 5.23\%
...130 Anti-Jewish Assault Offenses - Aggravated Assault 471 1.48\%
...131 Anti-Jewish Burglary/Breaking And Entering 341 1.07\%
...132 Anti-Jewish All Other 734 2.32\%
...133 Anti-Jewish Total 31,838 100\%
...134 Anti-Lesbian (Female) Assault Offenses - Intimidation 1,684 33.41\%
...135 Anti-Lesbian (Female) Assault Offenses - Simple Assault 1,284 25.47\%
...136 Anti-Lesbian (Female) Destruction/Damage/Vandalism of Property 1,100 21.82\%
...137 Anti-Lesbian (Female) Assault Offenses - Aggravated Assault 620 12.30\%
...138 Anti-Lesbian (Female) Burglary/Breaking And Entering 64 1.27\%
...139 Anti-Lesbian (Female) All Other 289 5.74\%
...140 Anti-Lesbian (Female) Total 5,041 100\%
...141 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Destruction/Damage/Vandalism of Property 2,488 28.65\%
...142 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Assault Offenses - Intimidation 2,122 24.44\%
...143 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Assault Offenses - Simple Assault 2,104 24.23\%
...144 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Assault Offenses - Aggravated Assault 1,027 11.83\%
...145 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Larceny/Theft Offenses - All Other Larceny 320 3.68\%
...146 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) All Other 623 7.16\%
...147 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Total 8,684 100\%
...148 Anti-Male Assault Offenses - Simple Assault 50 25.77\%
...149 Anti-Male Assault Offenses - Intimidation 41 21.13\%
...150 Anti-Male Destruction/Damage/Vandalism of Property 21 10.82\%
...151 Anti-Male Assault Offenses - Aggravated Assault 19 9.79\%
...152 Anti-Male Burglary/Breaking And Entering 10 5.15\%
...153 Anti-Male All Other 53 27.38\%
...154 Anti-Male Total 194 100\%
...155 Anti-Mental Disability Assault Offenses - Simple Assault 381 26.48\%
...156 Anti-Mental Disability Assault Offenses - Intimidation 223 15.50\%
...157 Anti-Mental Disability Destruction/Damage/Vandalism of Property 177 12.30\%
...158 Anti-Mental Disability Assault Offenses - Aggravated Assault 147 10.22\%
...159 Anti-Mental Disability Larceny/Theft Offenses - All Other Larceny 118 8.20\%
...160 Anti-Mental Disability All Other 393 27.35\%
...161 Anti-Mental Disability Total 1,439 100\%
...162 Anti-Multiple Races, Group Destruction/Damage/Vandalism of Property 2,899 49.34\%
...163 Anti-Multiple Races, Group Assault Offenses - Intimidation 1,570 26.72\%
...164 Anti-Multiple Races, Group Assault Offenses - Simple Assault 657 11.18\%
...165 Anti-Multiple Races, Group Assault Offenses - Aggravated Assault 415 7.06\%
...166 Anti-Multiple Races, Group Burglary/Breaking And Entering 105 1.79\%
...167 Anti-Multiple Races, Group All Other 230 3.93\%
...168 Anti-Multiple Races, Group Total 5,876 100\%
...169 Anti-Multiple Religions, Group Destruction/Damage/Vandalism of Property 793 58.65\%
...170 Anti-Multiple Religions, Group Assault Offenses - Intimidation 204 15.09\%
...171 Anti-Multiple Religions, Group Assault Offenses - Simple Assault 94 6.95\%
...172 Anti-Multiple Religions, Group Larceny/Theft Offenses - All Other Larceny 54 3.99\%
...173 Anti-Multiple Religions, Group Burglary/Breaking And Entering 49 3.62\%
...174 Anti-Multiple Religions, Group All Other 158 11.68\%
...175 Anti-Multiple Religions, Group Total 1,352 100\%
...176 Anti-Native Hawaiian Or Other Pacific Islander Assault Offenses - Simple Assault 40 20.20\%
...177 Anti-Native Hawaiian Or Other Pacific Islander Assault Offenses - Intimidation 27 13.64\%
...178 Anti-Native Hawaiian Or Other Pacific Islander Destruction/Damage/Vandalism of Property 21 10.61\%
...179 Anti-Native Hawaiian Or Other Pacific Islander Assault Offenses - Aggravated Assault 19 9.60\%
...180 Anti-Native Hawaiian Or Other Pacific Islander Larceny/Theft Offenses - All Other Larceny 14 7.07\%
...181 Anti-Native Hawaiian Or Other Pacific Islander All Other 77 38.94\%
...182 Anti-Native Hawaiian Or Other Pacific Islander Total 198 100\%
...183 Anti-Other Christian Destruction/Damage/Vandalism of Property 238 50.42\%
...184 Anti-Other Christian Assault Offenses - Intimidation 80 16.95\%
...185 Anti-Other Christian Assault Offenses - Simple Assault 33 6.99\%
...186 Anti-Other Christian Arson 28 5.93\%
...187 Anti-Other Christian Burglary/Breaking And Entering 25 5.30\%
...188 Anti-Other Christian All Other 68 14.4\%
...189 Anti-Other Christian Total 472 100\%
...190 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Assault Offenses - Intimidation 4,131 34.72\%
...191 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Destruction/Damage/Vandalism of Property 3,378 28.39\%
...192 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Assault Offenses - Simple Assault 2,343 19.69\%
...193 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Assault Offenses - Aggravated Assault 1,164 9.78\%
...194 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Burglary/Breaking And Entering 190 1.60\%
...195 Anti-Other Race, Ethnicity, Ancestry, Or National Origin All Other 693 5.84\%
...196 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Total 11,899 100\%
...197 Anti-Other Religion Destruction/Damage/Vandalism of Property 2,111 56.43\%
...198 Anti-Other Religion Assault Offenses - Intimidation 746 19.94\%
...199 Anti-Other Religion Assault Offenses - Simple Assault 238 6.36\%
...200 Anti-Other Religion Burglary/Breaking And Entering 161 4.30\%
...201 Anti-Other Religion Assault Offenses - Aggravated Assault 119 3.18\%
...202 Anti-Other Religion All Other 366 9.8\%
...203 Anti-Other Religion Total 3,741 100\%
...204 Anti-Physical Disability Assault Offenses - Simple Assault 248 28.51\%
...205 Anti-Physical Disability Assault Offenses - Intimidation 182 20.92\%
...206 Anti-Physical Disability Destruction/Damage/Vandalism of Property 91 10.46\%
...207 Anti-Physical Disability Assault Offenses - Aggravated Assault 78 8.97\%
...208 Anti-Physical Disability Larceny/Theft Offenses - All Other Larceny 69 7.93\%
...209 Anti-Physical Disability All Other 202 23.13\%
...210 Anti-Physical Disability Total 870 100\%
...211 Anti-Protestant Destruction/Damage/Vandalism of Property 818 58.89\%
...212 Anti-Protestant Assault Offenses - Intimidation 134 9.65\%
...213 Anti-Protestant Burglary/Breaking And Entering 93 6.70\%
...214 Anti-Protestant Assault Offenses - Simple Assault 72 5.18\%
...215 Anti-Protestant Larceny/Theft Offenses - All Other Larceny 64 4.61\%
...216 Anti-Protestant All Other 208 14.97\%
...217 Anti-Protestant Total 1,389 100\%
...218 Anti-Sikh Destruction/Damage/Vandalism of Property 124 15.10\%
...219 Anti-Sikh Larceny/Theft Offenses - All Other Larceny 116 14.13\%
...220 Anti-Sikh Assault Offenses - Simple Assault 100 12.18\%
...221 Anti-Sikh Drug/Narcotic Offenses - Drug/Narcotic Violations 62 7.55\%
...222 Anti-Sikh Burglary/Breaking And Entering 53 6.46\%
...223 Anti-Sikh All Other 366 44.56\%
...224 Anti-Sikh Total 821 100\%
...225 Anti-Transgender Assault Offenses - Simple Assault 610 32.88\%
...226 Anti-Transgender Assault Offenses - Intimidation 467 25.18\%
...227 Anti-Transgender Assault Offenses - Aggravated Assault 345 18.60\%
...228 Anti-Transgender Destruction/Damage/Vandalism of Property 164 8.84\%
...229 Anti-Transgender Robbery 71 3.83\%
...230 Anti-Transgender All Other 198 10.65\%
...231 Anti-Transgender Total 1,855 100\%
...232 Anti-White Assault Offenses - Simple Assault 8,233 29.20\%
...233 Anti-White Assault Offenses - Intimidation 6,280 22.28\%
...234 Anti-White Assault Offenses - Aggravated Assault 4,528 16.06\%
...235 Anti-White Destruction/Damage/Vandalism of Property 3,811 13.52\%
...236 Anti-White Robbery 1,153 4.09\%
...237 Anti-White All Other 4,187 14.83\%
...238 Anti-White Total 28,192 100\%
1 Undocumented Code Destruction/Damage/Vandalism of Property 1 100.00\%
NA NA NA NA NA
NA.1 NA NA NA NA
NA.2 NA NA NA NA
NA.3 NA NA NA NA
...244 Undocumented Code All Other NA NA\%
...245 Undocumented Code Total 1 100\%
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:hateOffenseBias)The number and percent of biases by offense, 2023.
Offense Bias Motivation \# of Incidents \% of Incidents
...1 Arson Anti-Black 449 29.58\%
...2 Arson Anti-Jewish 178 11.73\%
...3 Arson Anti-Other Religion 110 7.25\%
...4 Arson Anti-Gay (Male) 97 6.39\%
...5 Arson Anti-White 96 6.32\%
...6 Arson All Other 588 38.75\%
...7 Arson Total 1,518 100\%
...8 Assault Offenses - Aggravated Assault Anti-Black 10,128 36.01\%
...9 Assault Offenses - Aggravated Assault Anti-White 4,528 16.10\%
...10 Assault Offenses - Aggravated Assault Anti-Gay (Male) 3,999 14.22\%
...11 Assault Offenses - Aggravated Assault Anti-Hispanic Or Latino 2,994 10.64\%
...12 Assault Offenses - Aggravated Assault Anti-Other Race, Ethnicity, Ancestry, Or National Origin 1,164 4.14\%
...13 Assault Offenses - Aggravated Assault All Other 5,314 18.89\%
...14 Assault Offenses - Aggravated Assault Total 28,127 100\%
...15 Assault Offenses - Intimidation Anti-Black 30,996 41.12\%
...16 Assault Offenses - Intimidation Anti-Jewish 8,246 10.94\%
...17 Assault Offenses - Intimidation Anti-Gay (Male) 6,771 8.98\%
...18 Assault Offenses - Intimidation Anti-White 6,280 8.33\%
...19 Assault Offenses - Intimidation Anti-Hispanic Or Latino 5,033 6.68\%
...20 Assault Offenses - Intimidation All Other 18,055 23.96\%
...21 Assault Offenses - Intimidation Total 75,381 100\%
...22 Assault Offenses - Simple Assault Anti-Black 15,481 30.71\%
...23 Assault Offenses - Simple Assault Anti-White 8,233 16.33\%
...24 Assault Offenses - Simple Assault Anti-Gay (Male) 7,944 15.76\%
...25 Assault Offenses - Simple Assault Anti-Hispanic Or Latino 4,278 8.49\%
...26 Assault Offenses - Simple Assault Anti-Other Race, Ethnicity, Ancestry, Or National Origin 2,343 4.65\%
...27 Assault Offenses - Simple Assault All Other 12,131 24.06\%
...28 Assault Offenses - Simple Assault Total 50,410 100\%
...29 Bribery Anti-Black 2 33.33\%
...30 Bribery Anti-White 1 16.67\%
...31 Bribery Anti-Heterosexual 1 16.67\%
...32 Bribery Anti-Arab 1 16.67\%
...33 Bribery Anti-Gay (Male) 1 16.67\%
...34 Bribery All Other NA NA\%
...35 Bribery Total 6 100\%
...36 Burglary/Breaking And Entering Anti-Black 1,003 24.93\%
...37 Burglary/Breaking And Entering Anti-White 641 15.93\%
...38 Burglary/Breaking And Entering Anti-Jewish 341 8.48\%
...39 Burglary/Breaking And Entering Anti-Gay (Male) 241 5.99\%
...40 Burglary/Breaking And Entering Anti-Hispanic Or Latino 212 5.27\%
...41 Burglary/Breaking And Entering All Other 1,585 39.4\%
...42 Burglary/Breaking And Entering Total 4,023 100\%
...43 Counterfeiting/Forgery Anti-White 103 40.23\%
...44 Counterfeiting/Forgery Anti-Black 25 9.77\%
...45 Counterfeiting/Forgery Anti-American Indian Or Native Alaskan 21 8.20\%
...46 Counterfeiting/Forgery Anti-Catholic 11 4.30\%
...47 Counterfeiting/Forgery Anti-Sikh 10 3.91\%
...48 Counterfeiting/Forgery All Other 86 33.54\%
...49 Counterfeiting/Forgery Total 256 100\%
...50 Destruction/Damage/Vandalism of Property Anti-Black 24,150 31.98\%
...51 Destruction/Damage/Vandalism of Property Anti-Jewish 20,381 26.99\%
...52 Destruction/Damage/Vandalism of Property Anti-Gay (Male) 4,271 5.66\%
...53 Destruction/Damage/Vandalism of Property Anti-White 3,811 5.05\%
...54 Destruction/Damage/Vandalism of Property Anti-Other Race, Ethnicity, Ancestry, Or National Origin 3,378 4.47\%
...55 Destruction/Damage/Vandalism of Property All Other 19,533 25.87\%
...56 Destruction/Damage/Vandalism of Property Total 75,524 100\%
...57 Drug/Narcotic Offenses - Drug Equipment Violations Anti-White 131 32.51\%
...58 Drug/Narcotic Offenses - Drug Equipment Violations Anti-American Indian Or Native Alaskan 58 14.39\%
...59 Drug/Narcotic Offenses - Drug Equipment Violations Anti-Eastern Orthodox (Greek, Russian, Other) 26 6.45\%
...60 Drug/Narcotic Offenses - Drug Equipment Violations Anti-Sikh 24 5.96\%
...61 Drug/Narcotic Offenses - Drug Equipment Violations Anti-Black 19 4.71\%
...62 Drug/Narcotic Offenses - Drug Equipment Violations All Other 145 35.96\%
...63 Drug/Narcotic Offenses - Drug Equipment Violations Total 403 100\%
...64 Drug/Narcotic Offenses - Drug/Narcotic Violations Anti-White 495 33.86\%
...65 Drug/Narcotic Offenses - Drug/Narcotic Violations Anti-Black 248 16.96\%
...66 Drug/Narcotic Offenses - Drug/Narcotic Violations Anti-American Indian Or Native Alaskan 156 10.67\%
...67 Drug/Narcotic Offenses - Drug/Narcotic Violations Anti-Sikh 62 4.24\%
...68 Drug/Narcotic Offenses - Drug/Narcotic Violations Anti-Hispanic Or Latino 46 3.15\%
...69 Drug/Narcotic Offenses - Drug/Narcotic Violations All Other 455 31.15\%
...70 Drug/Narcotic Offenses - Drug/Narcotic Violations Total 1,462 100\%
...71 Embezzlement Anti-White 24 33.80\%
...72 Embezzlement Anti-American Indian Or Native Alaskan 9 12.68\%
...73 Embezzlement Anti-Mental Disability 6 8.45\%
...74 Embezzlement Anti-Black 5 7.04\%
...75 Embezzlement Anti-Physical Disability 5 7.04\%
...76 Embezzlement All Other 22 31.02\%
...77 Embezzlement Total 71 100\%
...78 Extortion/Blackmail Anti-Gay (Male) 17 22.08\%
...79 Extortion/Blackmail Anti-White 9 11.69\%
...80 Extortion/Blackmail Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 7 9.09\%
...81 Extortion/Blackmail Anti-Black 7 9.09\%
...82 Extortion/Blackmail Anti-Other Race, Ethnicity, Ancestry, Or National Origin 7 9.09\%
...83 Extortion/Blackmail All Other 30 38.97\%
...84 Extortion/Blackmail Total 77 100\%
...85 Fraud Offenses - Credit Card/Atm Fraud Anti-White 57 30.16\%
...86 Fraud Offenses - Credit Card/Atm Fraud Anti-American Indian Or Native Alaskan 18 9.52\%
...87 Fraud Offenses - Credit Card/Atm Fraud Anti-Sikh 14 7.41\%
...88 Fraud Offenses - Credit Card/Atm Fraud Anti-Mental Disability 14 7.41\%
...89 Fraud Offenses - Credit Card/Atm Fraud Anti-Black 10 5.29\%
...90 Fraud Offenses - Credit Card/Atm Fraud All Other 76 40.23\%
...91 Fraud Offenses - Credit Card/Atm Fraud Total 189 100\%
...92 Fraud Offenses - False Pretenses/Swindle/Confidence Game Anti-White 123 32.54\%
...93 Fraud Offenses - False Pretenses/Swindle/Confidence Game Anti-Black 34 8.99\%
...94 Fraud Offenses - False Pretenses/Swindle/Confidence Game Anti-Mental Disability 29 7.67\%
...95 Fraud Offenses - False Pretenses/Swindle/Confidence Game Anti-Sikh 28 7.41\%
...96 Fraud Offenses - False Pretenses/Swindle/Confidence Game Anti-American Indian Or Native Alaskan 18 4.76\%
...97 Fraud Offenses - False Pretenses/Swindle/Confidence Game All Other 146 38.62\%
...98 Fraud Offenses - False Pretenses/Swindle/Confidence Game Total 378 100\%
...99 Fraud Offenses - Impersonation Anti-White 43 27.74\%
...100 Fraud Offenses - Impersonation Anti-Black 23 14.84\%
...101 Fraud Offenses - Impersonation Anti-American Indian Or Native Alaskan 23 14.84\%
...102 Fraud Offenses - Impersonation Anti-Hispanic Or Latino 11 7.10\%
...103 Fraud Offenses - Impersonation Anti-Catholic 5 3.23\%
...104 Fraud Offenses - Impersonation All Other 50 32.32\%
...105 Fraud Offenses - Impersonation Total 155 100\%
...106 Fraud Offenses - Other Anti-White 34 27.87\%
...107 Fraud Offenses - Other Anti-Sikh 12 9.84\%
...108 Fraud Offenses - Other Anti-Black 12 9.84\%
...109 Fraud Offenses - Other Anti-American Indian Or Native Alaskan 12 9.84\%
...110 Fraud Offenses - Other Anti-Mental Disability 6 4.92\%
...111 Fraud Offenses - Other All Other 46 37.72\%
...112 Fraud Offenses - Other Total 122 100\%
1...113 Fraud Offenses - Welfare Fraud Anti-White 6 60.00\%
2...114 Fraud Offenses - Welfare Fraud Anti-Mental Disability 2 20.00\%
3...115 Fraud Offenses - Welfare Fraud Anti-American Indian Or Native Alaskan 1 10.00\%
4...116 Fraud Offenses - Welfare Fraud Anti-Arab 1 10.00\%
NA...117 NA NA NA NA
...118 Fraud Offenses - Welfare Fraud All Other NA NA\%
...119 Fraud Offenses - Welfare Fraud Total 10 100\%
...120 Fraud Offenses - Wire Fraud Anti-White 8 27.59\%
...121 Fraud Offenses - Wire Fraud Anti-Gender Non-Conforming 3 10.34\%
...122 Fraud Offenses - Wire Fraud Anti-Catholic 2 6.90\%
...123 Fraud Offenses - Wire Fraud Anti-Female 2 6.90\%
...124 Fraud Offenses - Wire Fraud Anti-Multiple Races, Group 2 6.90\%
...125 Fraud Offenses - Wire Fraud All Other 12 41.4\%
...126 Fraud Offenses - Wire Fraud Total 29 100\%
1...127 Gambling Offenses - Betting/Wagering Anti-Physical Disability 1 100.00\%
NA...128 NA NA NA NA
NA.1...129 NA NA NA NA
NA.2...130 NA NA NA NA
NA.3...131 NA NA NA NA
...132 Gambling Offenses - Betting/Wagering All Other NA NA\%
...133 Gambling Offenses - Betting/Wagering Total 1 100\%
1...134 Human Trafficking - Commercial Sex Acts Anti-Transgender 1 25.00\%
2...135 Human Trafficking - Commercial Sex Acts Anti-Asian 1 25.00\%
3...136 Human Trafficking - Commercial Sex Acts Anti-Physical Disability 1 25.00\%
4...137 Human Trafficking - Commercial Sex Acts Anti-Black 1 25.00\%
NA...138 NA NA NA NA
...139 Human Trafficking - Commercial Sex Acts All Other NA NA\%
...140 Human Trafficking - Commercial Sex Acts Total 4 100\%
1...141 Human Trafficking - Involuntary Servitude Anti-Female 1 100.00\%
NA...142 NA NA NA NA
NA.1...143 NA NA NA NA
NA.2...144 NA NA NA NA
NA.3...145 NA NA NA NA
...146 Human Trafficking - Involuntary Servitude All Other NA NA\%
...147 Human Trafficking - Involuntary Servitude Total 1 100\%
...148 Kidnapping/Abduction Anti-Black 31 17.92\%
...149 Kidnapping/Abduction Anti-White 31 17.92\%
...150 Kidnapping/Abduction Anti-Gay (Male) 13 7.51\%
...151 Kidnapping/Abduction Anti-Hispanic Or Latino 11 6.36\%
...152 Kidnapping/Abduction Anti-Transgender 9 5.20\%
...153 Kidnapping/Abduction All Other 78 45.08\%
...154 Kidnapping/Abduction Total 173 100\%
...155 Larceny/Theft Offenses - All Other Larceny Anti-White 824 27.38\%
...156 Larceny/Theft Offenses - All Other Larceny Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 320 10.63\%
...157 Larceny/Theft Offenses - All Other Larceny Anti-Black 271 9.00\%
...158 Larceny/Theft Offenses - All Other Larceny Anti-American Indian Or Native Alaskan 202 6.71\%
...159 Larceny/Theft Offenses - All Other Larceny Anti-Mental Disability 118 3.92\%
...160 Larceny/Theft Offenses - All Other Larceny All Other 1,275 42.36\%
...161 Larceny/Theft Offenses - All Other Larceny Total 3,010 100\%
...162 Larceny/Theft Offenses - Other Anti-Black 178 19.24\%
...163 Larceny/Theft Offenses - Other Anti-Jewish 176 19.03\%
...164 Larceny/Theft Offenses - Other Anti-Gay (Male) 84 9.08\%
...165 Larceny/Theft Offenses - Other Anti-White 76 8.22\%
...166 Larceny/Theft Offenses - Other Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 62 6.70\%
...167 Larceny/Theft Offenses - Other All Other 349 37.73\%
...168 Larceny/Theft Offenses - Other Total 925 100\%
...169 Larceny/Theft Offenses - Pocket-Picking Anti-Black 8 26.67\%
...170 Larceny/Theft Offenses - Pocket-Picking Anti-White 7 23.33\%
...171 Larceny/Theft Offenses - Pocket-Picking Anti-Hispanic Or Latino 4 13.33\%
...172 Larceny/Theft Offenses - Pocket-Picking Anti-American Indian Or Native Alaskan 3 10.00\%
...173 Larceny/Theft Offenses - Pocket-Picking Anti-Physical Disability 2 6.67\%
...174 Larceny/Theft Offenses - Pocket-Picking All Other 6 19.98\%
...175 Larceny/Theft Offenses - Pocket-Picking Total 30 100\%
...176 Larceny/Theft Offenses - Purse-Snatching Anti-White 10 32.26\%
...177 Larceny/Theft Offenses - Purse-Snatching Anti-Black 3 9.68\%
...178 Larceny/Theft Offenses - Purse-Snatching Anti-American Indian Or Native Alaskan 3 9.68\%
...179 Larceny/Theft Offenses - Purse-Snatching Anti-Gay (Male) 2 6.45\%
...180 Larceny/Theft Offenses - Purse-Snatching Anti-Bisexual 2 6.45\%
...181 Larceny/Theft Offenses - Purse-Snatching All Other 11 35.51\%
...182 Larceny/Theft Offenses - Purse-Snatching Total 31 100\%
...183 Larceny/Theft Offenses - Shoplifting Anti-White 285 33.41\%
...184 Larceny/Theft Offenses - Shoplifting Anti-Black 92 10.79\%
...185 Larceny/Theft Offenses - Shoplifting Anti-American Indian Or Native Alaskan 88 10.32\%
...186 Larceny/Theft Offenses - Shoplifting Anti-Sikh 35 4.10\%
...187 Larceny/Theft Offenses - Shoplifting Anti-Other Race, Ethnicity, Ancestry, Or National Origin 31 3.63\%
...188 Larceny/Theft Offenses - Shoplifting All Other 322 37.77\%
...189 Larceny/Theft Offenses - Shoplifting Total 853 100\%
...190 Larceny/Theft Offenses - Theft From Building Anti-White 206 30.07\%
...191 Larceny/Theft Offenses - Theft From Building Anti-Black 61 8.91\%
...192 Larceny/Theft Offenses - Theft From Building Anti-American Indian Or Native Alaskan 54 7.88\%
...193 Larceny/Theft Offenses - Theft From Building Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 47 6.86\%
...194 Larceny/Theft Offenses - Theft From Building Anti-Other Race, Ethnicity, Ancestry, Or National Origin 33 4.82\%
...195 Larceny/Theft Offenses - Theft From Building All Other 284 41.49\%
...196 Larceny/Theft Offenses - Theft From Building Total 685 100\%
...197 Larceny/Theft Offenses - Theft From Motor Vehicle Anti-White 313 33.23\%
...198 Larceny/Theft Offenses - Theft From Motor Vehicle Anti-American Indian Or Native Alaskan 102 10.83\%
...199 Larceny/Theft Offenses - Theft From Motor Vehicle Anti-Black 91 9.66\%
...200 Larceny/Theft Offenses - Theft From Motor Vehicle Anti-Sikh 43 4.56\%
...201 Larceny/Theft Offenses - Theft From Motor Vehicle Anti-Hispanic Or Latino 40 4.25\%
...202 Larceny/Theft Offenses - Theft From Motor Vehicle All Other 353 37.46\%
...203 Larceny/Theft Offenses - Theft From Motor Vehicle Total 942 100\%
...204 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Anti-White 91 34.34\%
...205 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Anti-Black 27 10.19\%
...206 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Anti-American Indian Or Native Alaskan 26 9.81\%
...207 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Anti-Sikh 14 5.28\%
...208 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Anti-Other Race, Ethnicity, Ancestry, Or National Origin 10 3.77\%
...209 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories All Other 97 36.59\%
...210 Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Total 265 100\%
...211 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device Anti-White 4 25.00\%
...212 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device Anti-American Indian Or Native Alaskan 3 18.75\%
...213 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device Anti-Physical Disability 3 18.75\%
...214 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device Anti-Black 2 12.50\%
...215 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device Anti-Sikh 1 6.25\%
...216 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device All Other 3 18.75\%
...217 Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device Total 16 100\%
...218 Motor Vehicle Theft Anti-White 173 28.18\%
...219 Motor Vehicle Theft Anti-Black 87 14.17\%
...220 Motor Vehicle Theft Anti-American Indian Or Native Alaskan 81 13.19\%
...221 Motor Vehicle Theft Anti-Sikh 31 5.05\%
...222 Motor Vehicle Theft Anti-Other Race, Ethnicity, Ancestry, Or National Origin 25 4.07\%
...223 Motor Vehicle Theft All Other 217 35.34\%
...224 Motor Vehicle Theft Total 614 100\%
...225 Murder/Nonnegligent Manslaughter Anti-Black 82 23.56\%
...226 Murder/Nonnegligent Manslaughter Anti-Gay (Male) 65 18.68\%
...227 Murder/Nonnegligent Manslaughter Anti-White 52 14.94\%
...228 Murder/Nonnegligent Manslaughter Anti-Hispanic Or Latino 42 12.07\%
...229 Murder/Nonnegligent Manslaughter Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 16 4.60\%
...230 Murder/Nonnegligent Manslaughter All Other 91 26.14\%
...231 Murder/Nonnegligent Manslaughter Total 348 100\%
...232 Negligent Manslaughter Anti-American Indian Or Native Alaskan 2 25.00\%
...233 Negligent Manslaughter Anti-Physical Disability 2 25.00\%
...234 Negligent Manslaughter Anti-Black 2 25.00\%
...235 Negligent Manslaughter Anti-Hispanic Or Latino 1 12.50\%
...236 Negligent Manslaughter Anti-White 1 12.50\%
...237 Negligent Manslaughter All Other NA NA\%
...238 Negligent Manslaughter Total 8 100\%
...239 Pornography/Obscene Material Anti-Black 15 16.85\%
...240 Pornography/Obscene Material Anti-White 10 11.24\%
...241 Pornography/Obscene Material Anti-Female 7 7.87\%
...242 Pornography/Obscene Material Anti-Gay (Male) 6 6.74\%
...243 Pornography/Obscene Material Anti-American Indian Or Native Alaskan 6 6.74\%
...244 Pornography/Obscene Material All Other 45 50.54\%
...245 Pornography/Obscene Material Total 89 100\%
...246 Prostitution Offenses - Assisting Or Promoting Prostitution Anti-Mental Disability 2 28.57\%
...247 Prostitution Offenses - Assisting Or Promoting Prostitution Anti-White 1 14.29\%
...248 Prostitution Offenses - Assisting Or Promoting Prostitution Anti-Gender Non-Conforming 1 14.29\%
...249 Prostitution Offenses - Assisting Or Promoting Prostitution Anti-Black 1 14.29\%
...250 Prostitution Offenses - Assisting Or Promoting Prostitution Anti-Male 1 14.29\%
...251 Prostitution Offenses - Assisting Or Promoting Prostitution All Other 1 14.29\%
...252 Prostitution Offenses - Assisting Or Promoting Prostitution Total 7 100\%
1...253 Prostitution Offenses - Prostitution Anti-White 10 66.67\%
2...254 Prostitution Offenses - Prostitution Anti-Asian 3 20.00\%
3...255 Prostitution Offenses - Prostitution Anti-Lesbian (Female) 1 6.67\%
4...256 Prostitution Offenses - Prostitution Anti-Other Religion 1 6.67\%
NA...257 NA NA NA NA
...258 Prostitution Offenses - Prostitution All Other NA NA\%
...259 Prostitution Offenses - Prostitution Total 15 100\%
1...260 Prostitution Offenses - Purchasing Prostitution Anti-Asian 1 50.00\%
2...261 Prostitution Offenses - Purchasing Prostitution Anti-Heterosexual 1 50.00\%
NA...262 NA NA NA NA
NA.1...263 NA NA NA NA
NA.2...264 NA NA NA NA
...265 Prostitution Offenses - Purchasing Prostitution All Other NA NA\%
...266 Prostitution Offenses - Purchasing Prostitution Total 2 100\%
...267 Robbery Anti-White 1,153 25.57\%
...268 Robbery Anti-Gay (Male) 1,079 23.93\%
...269 Robbery Anti-Black 673 14.93\%
...270 Robbery Anti-Hispanic Or Latino 544 12.06\%
...271 Robbery Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 215 4.77\%
...272 Robbery All Other 845 18.71\%
...273 Robbery Total 4,509 100\%
...274 Sex Offenses - Fondling - Indecent Liberties/Child Molest Anti-White 62 23.40\%
...275 Sex Offenses - Fondling - Indecent Liberties/Child Molest Anti-Black 33 12.45\%
...276 Sex Offenses - Fondling - Indecent Liberties/Child Molest Anti-Gay (Male) 32 12.08\%
...277 Sex Offenses - Fondling - Indecent Liberties/Child Molest Anti-Mental Disability 18 6.79\%
...278 Sex Offenses - Fondling - Indecent Liberties/Child Molest Anti-American Indian Or Native Alaskan 14 5.28\%
...279 Sex Offenses - Fondling - Indecent Liberties/Child Molest All Other 106 39.98\%
...280 Sex Offenses - Fondling - Indecent Liberties/Child Molest Total 265 100\%
...281 Sex Offenses - Incest Anti-White 2 28.57\%
...282 Sex Offenses - Incest Anti-American Indian Or Native Alaskan 1 14.29\%
...283 Sex Offenses - Incest Anti-Heterosexual 1 14.29\%
...284 Sex Offenses - Incest Anti-Lesbian (Female) 1 14.29\%
...285 Sex Offenses - Incest Anti-Bisexual 1 14.29\%
...286 Sex Offenses - Incest All Other 1 14.29\%
...287 Sex Offenses - Incest Total 7 100\%
...288 Sex Offenses - Rape Anti-White 83 25.23\%
...289 Sex Offenses - Rape Anti-Lesbian (Female) 50 15.20\%
...290 Sex Offenses - Rape Anti-Black 46 13.98\%
...291 Sex Offenses - Rape Anti-Mental Disability 20 6.08\%
...292 Sex Offenses - Rape Anti-Female 16 4.86\%
...293 Sex Offenses - Rape All Other 114 34.63\%
...294 Sex Offenses - Rape Total 329 100\%
...295 Sex Offenses - Sexual Assault With An Object Anti-Gay (Male) 12 24.00\%
...296 Sex Offenses - Sexual Assault With An Object Anti-Black 7 14.00\%
...297 Sex Offenses - Sexual Assault With An Object Anti-White 7 14.00\%
...298 Sex Offenses - Sexual Assault With An Object Anti-Lesbian (Female) 5 10.00\%
...299 Sex Offenses - Sexual Assault With An Object Anti-Transgender 4 8.00\%
...300 Sex Offenses - Sexual Assault With An Object All Other 15 30\%
...301 Sex Offenses - Sexual Assault With An Object Total 50 100\%
...302 Sex Offenses - Sodomy Anti-Gay (Male) 27 31.40\%
...303 Sex Offenses - Sodomy Anti-White 11 12.79\%
...304 Sex Offenses - Sodomy Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 10 11.63\%
...305 Sex Offenses - Sodomy Anti-Heterosexual 8 9.30\%
...306 Sex Offenses - Sodomy Anti-Transgender 7 8.14\%
...307 Sex Offenses - Sodomy All Other 23 26.75\%
...308 Sex Offenses - Sodomy Total 86 100\%
...309 Sex Offenses - Statutory Rape Anti-White 7 31.82\%
...310 Sex Offenses - Statutory Rape Anti-Gay (Male) 2 9.09\%
...311 Sex Offenses - Statutory Rape Anti-Black 2 9.09\%
...312 Sex Offenses - Statutory Rape Anti-Heterosexual 2 9.09\%
...313 Sex Offenses - Statutory Rape Anti-American Indian Or Native Alaskan 2 9.09\%
...314 Sex Offenses - Statutory Rape All Other 7 31.85\%
...315 Sex Offenses - Statutory Rape Total 22 100\%
...316 Stolen Property Offenses (Receiving, Selling, Etc.) Anti-White 47 31.76\%
...317 Stolen Property Offenses (Receiving, Selling, Etc.) Anti-American Indian Or Native Alaskan 20 13.51\%
...318 Stolen Property Offenses (Receiving, Selling, Etc.) Anti-Black 17 11.49\%
...319 Stolen Property Offenses (Receiving, Selling, Etc.) Anti-Sikh 8 5.41\%
...320 Stolen Property Offenses (Receiving, Selling, Etc.) Anti-Mental Disability 6 4.05\%
...321 Stolen Property Offenses (Receiving, Selling, Etc.) All Other 50 33.79\%
...322 Stolen Property Offenses (Receiving, Selling, Etc.) Total 148 100\%
...323 Undocumented Code Anti-White 5 29.41\%
...324 Undocumented Code Anti-Black 4 23.53\%
...325 Undocumented Code Anti-American Indian Or Native Alaskan 3 17.65\%
...326 Undocumented Code Anti-Catholic 1 5.88\%
...327 Undocumented Code Anti-Male 1 5.88\%
...328 Undocumented Code All Other 3 17.64\%
...329 Undocumented Code Total 17 100\%
...330 Weapon Law Violations Anti-Black 179 35.73\%
...331 Weapon Law Violations Anti-White 98 19.56\%
...332 Weapon Law Violations Anti-American Indian Or Native Alaskan 26 5.19\%
...333 Weapon Law Violations Anti-Hispanic Or Latino 26 5.19\%
...334 Weapon Law Violations Anti-Other Race, Ethnicity, Ancestry, Or National Origin 20 3.99\%
...335 Weapon Law Violations All Other 152 30.38\%
...336 Weapon Law Violations Total 501 100\%
+ +\begin{longtable}[t]{l|l|l|r|r} +\caption{(\#tab:hateBiasOffense)The number and percent of offenses by bias motivation, 2023.}\\ +\hline + & Bias Motivation & Offense & \textbackslash{}\# of Incidents & \textbackslash{}\% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:hateBiasOffense)The number and percent of offenses by bias motivation, 2023. \textit{(continued)}}\\ +\hline + & Bias Motivation & Offense & \textbackslash{}\# of Incidents & \textbackslash{}\% of Incidents\\ +\hline +\endhead +...1 & Anti-American Indian Or Native Alaskan & Assault Offenses - Simple Assault & 561 & 19.49\textbackslash{}\%\\ +\hline +...2 & Anti-American Indian Or Native Alaskan & Assault Offenses - Intimidation & 432 & 15.01\textbackslash{}\%\\ +\hline +...3 & Anti-American Indian Or Native Alaskan & Destruction/Damage/Vandalism of Property & 415 & 14.42\textbackslash{}\%\\ +\hline +...4 & Anti-American Indian Or Native Alaskan & Assault Offenses - Aggravated Assault & 284 & 9.87\textbackslash{}\%\\ +\hline +...5 & Anti-American Indian Or Native Alaskan & Larceny/Theft Offenses - All Other Larceny & 202 & 7.02\textbackslash{}\%\\ +\hline +...6 & Anti-American Indian Or Native Alaskan & All Other & 984 & 34.16\textbackslash{}\%\\ +\hline +...7 & Anti-American Indian Or Native Alaskan & Total & 2,878 & 100\textbackslash{}\%\\ +\hline +...8 & Anti-Arab & Assault Offenses - Intimidation & 634 & 38.82\textbackslash{}\%\\ +\hline +...9 & Anti-Arab & Assault Offenses - Simple Assault & 385 & 23.58\textbackslash{}\%\\ +\hline +...10 & Anti-Arab & Destruction/Damage/Vandalism of Property & 308 & 18.86\textbackslash{}\%\\ +\hline +...11 & Anti-Arab & Assault Offenses - Aggravated Assault & 182 & 11.15\textbackslash{}\%\\ +\hline +...12 & Anti-Arab & Burglary/Breaking And Entering & 21 & 1.29\textbackslash{}\%\\ +\hline +...13 & Anti-Arab & All Other & 103 & 6.27\textbackslash{}\%\\ +\hline +...14 & Anti-Arab & Total & 1,633 & 100\textbackslash{}\%\\ +\hline +...15 & Anti-Asian & Assault Offenses - Intimidation & 2,683 & 33.17\textbackslash{}\%\\ +\hline +...16 & Anti-Asian & Destruction/Damage/Vandalism of Property & 2,067 & 25.56\textbackslash{}\%\\ +\hline +...17 & Anti-Asian & Assault Offenses - Simple Assault & 1,920 & 23.74\textbackslash{}\%\\ +\hline +...18 & Anti-Asian & Assault Offenses - Aggravated Assault & 803 & 9.93\textbackslash{}\%\\ +\hline +...19 & Anti-Asian & Burglary/Breaking And Entering & 157 & 1.94\textbackslash{}\%\\ +\hline +...20 & Anti-Asian & All Other & 458 & 5.63\textbackslash{}\%\\ +\hline +...21 & Anti-Asian & Total & 8,088 & 100\textbackslash{}\%\\ +\hline +...22 & Anti-Atheism/Agnosticism & Destruction/Damage/Vandalism of Property & 75 & 34.40\textbackslash{}\%\\ +\hline +...23 & Anti-Atheism/Agnosticism & Assault Offenses - Simple Assault & 25 & 11.47\textbackslash{}\%\\ +\hline +...24 & Anti-Atheism/Agnosticism & Larceny/Theft Offenses - All Other Larceny & 24 & 11.01\textbackslash{}\%\\ +\hline +...25 & Anti-Atheism/Agnosticism & Assault Offenses - Intimidation & 21 & 9.63\textbackslash{}\%\\ +\hline +...26 & Anti-Atheism/Agnosticism & Burglary/Breaking And Entering & 14 & 6.42\textbackslash{}\%\\ +\hline +...27 & Anti-Atheism/Agnosticism & All Other & 59 & 27.09\textbackslash{}\%\\ +\hline +...28 & Anti-Atheism/Agnosticism & Total & 218 & 100\textbackslash{}\%\\ +\hline +...29 & Anti-Bisexual & Assault Offenses - Simple Assault & 196 & 28.65\textbackslash{}\%\\ +\hline +...30 & Anti-Bisexual & Assault Offenses - Intimidation & 134 & 19.59\textbackslash{}\%\\ +\hline +...31 & Anti-Bisexual & Destruction/Damage/Vandalism of Property & 93 & 13.60\textbackslash{}\%\\ +\hline +...32 & Anti-Bisexual & Assault Offenses - Aggravated Assault & 67 & 9.80\textbackslash{}\%\\ +\hline +...33 & Anti-Bisexual & Larceny/Theft Offenses - All Other Larceny & 47 & 6.87\textbackslash{}\%\\ +\hline +...34 & Anti-Bisexual & All Other & 147 & 21.49\textbackslash{}\%\\ +\hline +...35 & Anti-Bisexual & Total & 684 & 100\textbackslash{}\%\\ +\hline +...36 & Anti-Black & Assault Offenses - Intimidation & 30,996 & 36.68\textbackslash{}\%\\ +\hline +...37 & Anti-Black & Destruction/Damage/Vandalism of Property & 24,150 & 28.58\textbackslash{}\%\\ +\hline +...38 & Anti-Black & Assault Offenses - Simple Assault & 15,481 & 18.32\textbackslash{}\%\\ +\hline +...39 & Anti-Black & Assault Offenses - Aggravated Assault & 10,128 & 11.98\textbackslash{}\%\\ +\hline +...40 & Anti-Black & Burglary/Breaking And Entering & 1,003 & 1.19\textbackslash{}\%\\ +\hline +...41 & Anti-Black & All Other & 2,750 & 3.23\textbackslash{}\%\\ +\hline +...42 & Anti-Black & Total & 84,508 & 100\textbackslash{}\%\\ +\hline +...43 & Anti-Buddhist & Destruction/Damage/Vandalism of Property & 41 & 31.54\textbackslash{}\%\\ +\hline +...44 & Anti-Buddhist & Assault Offenses - Simple Assault & 17 & 13.08\textbackslash{}\%\\ +\hline +...45 & Anti-Buddhist & Larceny/Theft Offenses - All Other Larceny & 13 & 10.00\textbackslash{}\%\\ +\hline +...46 & Anti-Buddhist & Assault Offenses - Aggravated Assault & 8 & 6.15\textbackslash{}\%\\ +\hline +...47 & Anti-Buddhist & Burglary/Breaking And Entering & 6 & 4.62\textbackslash{}\%\\ +\hline +...48 & Anti-Buddhist & All Other & 45 & 34.65\textbackslash{}\%\\ +\hline +...49 & Anti-Buddhist & Total & 130 & 100\textbackslash{}\%\\ +\hline +...50 & Anti-Catholic & Destruction/Damage/Vandalism of Property & 1,115 & 58.87\textbackslash{}\%\\ +\hline +...51 & Anti-Catholic & Assault Offenses - Intimidation & 213 & 11.25\textbackslash{}\%\\ +\hline +...52 & Anti-Catholic & Assault Offenses - Simple Assault & 97 & 5.12\textbackslash{}\%\\ +\hline +...53 & Anti-Catholic & Burglary/Breaking And Entering & 86 & 4.54\textbackslash{}\%\\ +\hline +...54 & Anti-Catholic & Larceny/Theft Offenses - All Other Larceny & 63 & 3.33\textbackslash{}\%\\ +\hline +...55 & Anti-Catholic & All Other & 320 & 16.89\textbackslash{}\%\\ +\hline +...56 & Anti-Catholic & Total & 1,894 & 100\textbackslash{}\%\\ +\hline +...57 & Anti-Church of Jesus Christ (Mormon) & Destruction/Damage/Vandalism of Property & 51 & 43.22\textbackslash{}\%\\ +\hline +...58 & Anti-Church of Jesus Christ (Mormon) & Assault Offenses - Intimidation & 14 & 11.86\textbackslash{}\%\\ +\hline +...59 & Anti-Church of Jesus Christ (Mormon) & Burglary/Breaking And Entering & 13 & 11.02\textbackslash{}\%\\ +\hline +...60 & Anti-Church of Jesus Christ (Mormon) & Assault Offenses - Simple Assault & 12 & 10.17\textbackslash{}\%\\ +\hline +...61 & Anti-Church of Jesus Christ (Mormon) & Arson & 7 & 5.93\textbackslash{}\%\\ +\hline +...62 & Anti-Church of Jesus Christ (Mormon) & All Other & 21 & 17.78\textbackslash{}\%\\ +\hline +...63 & Anti-Church of Jesus Christ (Mormon) & Total & 118 & 100\textbackslash{}\%\\ +\hline +...64 & Anti-Eastern Orthodox (Greek, Russian, Other) & Destruction/Damage/Vandalism of Property & 74 & 16.78\textbackslash{}\%\\ +\hline +...65 & Anti-Eastern Orthodox (Greek, Russian, Other) & Assault Offenses - Simple Assault & 49 & 11.11\textbackslash{}\%\\ +\hline +...66 & Anti-Eastern Orthodox (Greek, Russian, Other) & Larceny/Theft Offenses - All Other Larceny & 49 & 11.11\textbackslash{}\%\\ +\hline +...67 & Anti-Eastern Orthodox (Greek, Russian, Other) & Drug/Narcotic Offenses - Drug/Narcotic Violations & 41 & 9.30\textbackslash{}\%\\ +\hline +...68 & Anti-Eastern Orthodox (Greek, Russian, Other) & Burglary/Breaking And Entering & 34 & 7.71\textbackslash{}\%\\ +\hline +...69 & Anti-Eastern Orthodox (Greek, Russian, Other) & All Other & 194 & 44.02\textbackslash{}\%\\ +\hline +...70 & Anti-Eastern Orthodox (Greek, Russian, Other) & Total & 441 & 100\textbackslash{}\%\\ +\hline +...71 & Anti-Female & Assault Offenses - Intimidation & 149 & 27.64\textbackslash{}\%\\ +\hline +...72 & Anti-Female & Assault Offenses - Simple Assault & 137 & 25.42\textbackslash{}\%\\ +\hline +...73 & Anti-Female & Assault Offenses - Aggravated Assault & 69 & 12.80\textbackslash{}\%\\ +\hline +...74 & Anti-Female & Destruction/Damage/Vandalism of Property & 67 & 12.43\textbackslash{}\%\\ +\hline +...75 & Anti-Female & Sex Offenses - Rape & 16 & 2.97\textbackslash{}\%\\ +\hline +...76 & Anti-Female & All Other & 101 & 18.76\textbackslash{}\%\\ +\hline +...77 & Anti-Female & Total & 539 & 100\textbackslash{}\%\\ +\hline +...78 & Anti-Gay (Male) & Assault Offenses - Simple Assault & 7,944 & 31.87\textbackslash{}\%\\ +\hline +...79 & Anti-Gay (Male) & Assault Offenses - Intimidation & 6,771 & 27.16\textbackslash{}\%\\ +\hline +...80 & Anti-Gay (Male) & Destruction/Damage/Vandalism of Property & 4,271 & 17.13\textbackslash{}\%\\ +\hline +...81 & Anti-Gay (Male) & Assault Offenses - Aggravated Assault & 3,999 & 16.04\textbackslash{}\%\\ +\hline +...82 & Anti-Gay (Male) & Robbery & 1,079 & 4.33\textbackslash{}\%\\ +\hline +...83 & Anti-Gay (Male) & All Other & 863 & 3.48\textbackslash{}\%\\ +\hline +...84 & Anti-Gay (Male) & Total & 24,927 & 100\textbackslash{}\%\\ +\hline +...85 & Anti-Gender Non-Conforming & Assault Offenses - Simple Assault & 150 & 22.97\textbackslash{}\%\\ +\hline +...86 & Anti-Gender Non-Conforming & Destruction/Damage/Vandalism of Property & 104 & 15.93\textbackslash{}\%\\ +\hline +...87 & Anti-Gender Non-Conforming & Assault Offenses - Intimidation & 74 & 11.33\textbackslash{}\%\\ +\hline +...88 & Anti-Gender Non-Conforming & Larceny/Theft Offenses - All Other Larceny & 58 & 8.88\textbackslash{}\%\\ +\hline +...89 & Anti-Gender Non-Conforming & Assault Offenses - Aggravated Assault & 57 & 8.73\textbackslash{}\%\\ +\hline +...90 & Anti-Gender Non-Conforming & All Other & 210 & 32.16\textbackslash{}\%\\ +\hline +...91 & Anti-Gender Non-Conforming & Total & 653 & 100\textbackslash{}\%\\ +\hline +...92 & Anti-Heterosexual & Assault Offenses - Intimidation & 156 & 24.88\textbackslash{}\%\\ +\hline +...93 & Anti-Heterosexual & Destruction/Damage/Vandalism of Property & 154 & 24.56\textbackslash{}\%\\ +\hline +...94 & Anti-Heterosexual & Assault Offenses - Simple Assault & 116 & 18.50\textbackslash{}\%\\ +\hline +...95 & Anti-Heterosexual & Assault Offenses - Aggravated Assault & 43 & 6.86\textbackslash{}\%\\ +\hline +...96 & Anti-Heterosexual & Larceny/Theft Offenses - All Other Larceny & 24 & 3.83\textbackslash{}\%\\ +\hline +...97 & Anti-Heterosexual & All Other & 134 & 21.41\textbackslash{}\%\\ +\hline +...98 & Anti-Heterosexual & Total & 627 & 100\textbackslash{}\%\\ +\hline +...99 & Anti-Hindu & Assault Offenses - Intimidation & 39 & 30.47\textbackslash{}\%\\ +\hline +...100 & Anti-Hindu & Destruction/Damage/Vandalism of Property & 33 & 25.78\textbackslash{}\%\\ +\hline +...101 & Anti-Hindu & Assault Offenses - Simple Assault & 25 & 19.53\textbackslash{}\%\\ +\hline +...102 & Anti-Hindu & Assault Offenses - Aggravated Assault & 8 & 6.25\textbackslash{}\%\\ +\hline +...103 & Anti-Hindu & Burglary/Breaking And Entering & 5 & 3.91\textbackslash{}\%\\ +\hline +...104 & Anti-Hindu & All Other & 18 & 14.04\textbackslash{}\%\\ +\hline +...105 & Anti-Hindu & Total & 128 & 100\textbackslash{}\%\\ +\hline +...106 & Anti-Hispanic Or Latino & Assault Offenses - Intimidation & 5,033 & 31.01\textbackslash{}\%\\ +\hline +...107 & Anti-Hispanic Or Latino & Assault Offenses - Simple Assault & 4,278 & 26.36\textbackslash{}\%\\ +\hline +...108 & Anti-Hispanic Or Latino & Assault Offenses - Aggravated Assault & 2,994 & 18.45\textbackslash{}\%\\ +\hline +...109 & Anti-Hispanic Or Latino & Destruction/Damage/Vandalism of Property & 2,694 & 16.60\textbackslash{}\%\\ +\hline +...110 & Anti-Hispanic Or Latino & Robbery & 544 & 3.35\textbackslash{}\%\\ +\hline +...111 & Anti-Hispanic Or Latino & All Other & 688 & 4.24\textbackslash{}\%\\ +\hline +...112 & Anti-Hispanic Or Latino & Total & 16,231 & 100\textbackslash{}\%\\ +\hline +...113 & Anti-Islamic (Muslim) & Assault Offenses - Intimidation & 1,808 & 40.47\textbackslash{}\%\\ +\hline +...114 & Anti-Islamic (Muslim) & Destruction/Damage/Vandalism of Property & 1,174 & 26.28\textbackslash{}\%\\ +\hline +...115 & Anti-Islamic (Muslim) & Assault Offenses - Simple Assault & 856 & 19.16\textbackslash{}\%\\ +\hline +...116 & Anti-Islamic (Muslim) & Assault Offenses - Aggravated Assault & 332 & 7.43\textbackslash{}\%\\ +\hline +...117 & Anti-Islamic (Muslim) & Arson & 61 & 1.37\textbackslash{}\%\\ +\hline +...118 & Anti-Islamic (Muslim) & All Other & 237 & 5.28\textbackslash{}\%\\ +\hline +...119 & Anti-Islamic (Muslim) & Total & 4,468 & 100\textbackslash{}\%\\ +\hline +...120 & Anti-Jehovahs Witness & Destruction/Damage/Vandalism of Property & 22 & 32.84\textbackslash{}\%\\ +\hline +...121 & Anti-Jehovahs Witness & Assault Offenses - Intimidation & 10 & 14.93\textbackslash{}\%\\ +\hline +...122 & Anti-Jehovahs Witness & Assault Offenses - Simple Assault & 9 & 13.43\textbackslash{}\%\\ +\hline +...123 & Anti-Jehovahs Witness & Assault Offenses - Aggravated Assault & 6 & 8.96\textbackslash{}\%\\ +\hline +...124 & Anti-Jehovahs Witness & Larceny/Theft Offenses - All Other Larceny & 4 & 5.97\textbackslash{}\%\\ +\hline +...125 & Anti-Jehovahs Witness & All Other & 16 & 23.89\textbackslash{}\%\\ +\hline +...126 & Anti-Jehovahs Witness & Total & 67 & 100\textbackslash{}\%\\ +\hline +...127 & Anti-Jewish & Destruction/Damage/Vandalism of Property & 20,381 & 64.01\textbackslash{}\%\\ +\hline +...128 & Anti-Jewish & Assault Offenses - Intimidation & 8,246 & 25.90\textbackslash{}\%\\ +\hline +...129 & Anti-Jewish & Assault Offenses - Simple Assault & 1,665 & 5.23\textbackslash{}\%\\ +\hline +...130 & Anti-Jewish & Assault Offenses - Aggravated Assault & 471 & 1.48\textbackslash{}\%\\ +\hline +...131 & Anti-Jewish & Burglary/Breaking And Entering & 341 & 1.07\textbackslash{}\%\\ +\hline +...132 & Anti-Jewish & All Other & 734 & 2.32\textbackslash{}\%\\ +\hline +...133 & Anti-Jewish & Total & 31,838 & 100\textbackslash{}\%\\ +\hline +...134 & Anti-Lesbian (Female) & Assault Offenses - Intimidation & 1,684 & 33.41\textbackslash{}\%\\ +\hline +...135 & Anti-Lesbian (Female) & Assault Offenses - Simple Assault & 1,284 & 25.47\textbackslash{}\%\\ +\hline +...136 & Anti-Lesbian (Female) & Destruction/Damage/Vandalism of Property & 1,100 & 21.82\textbackslash{}\%\\ +\hline +...137 & Anti-Lesbian (Female) & Assault Offenses - Aggravated Assault & 620 & 12.30\textbackslash{}\%\\ +\hline +...138 & Anti-Lesbian (Female) & Burglary/Breaking And Entering & 64 & 1.27\textbackslash{}\%\\ +\hline +...139 & Anti-Lesbian (Female) & All Other & 289 & 5.74\textbackslash{}\%\\ +\hline +...140 & Anti-Lesbian (Female) & Total & 5,041 & 100\textbackslash{}\%\\ +\hline +...141 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Destruction/Damage/Vandalism of Property & 2,488 & 28.65\textbackslash{}\%\\ +\hline +...142 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Assault Offenses - Intimidation & 2,122 & 24.44\textbackslash{}\%\\ +\hline +...143 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Assault Offenses - Simple Assault & 2,104 & 24.23\textbackslash{}\%\\ +\hline +...144 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Assault Offenses - Aggravated Assault & 1,027 & 11.83\textbackslash{}\%\\ +\hline +...145 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Larceny/Theft Offenses - All Other Larceny & 320 & 3.68\textbackslash{}\%\\ +\hline +...146 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & All Other & 623 & 7.16\textbackslash{}\%\\ +\hline +...147 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Total & 8,684 & 100\textbackslash{}\%\\ +\hline +...148 & Anti-Male & Assault Offenses - Simple Assault & 50 & 25.77\textbackslash{}\%\\ +\hline +...149 & Anti-Male & Assault Offenses - Intimidation & 41 & 21.13\textbackslash{}\%\\ +\hline +...150 & Anti-Male & Destruction/Damage/Vandalism of Property & 21 & 10.82\textbackslash{}\%\\ +\hline +...151 & Anti-Male & Assault Offenses - Aggravated Assault & 19 & 9.79\textbackslash{}\%\\ +\hline +...152 & Anti-Male & Burglary/Breaking And Entering & 10 & 5.15\textbackslash{}\%\\ +\hline +...153 & Anti-Male & All Other & 53 & 27.38\textbackslash{}\%\\ +\hline +...154 & Anti-Male & Total & 194 & 100\textbackslash{}\%\\ +\hline +...155 & Anti-Mental Disability & Assault Offenses - Simple Assault & 381 & 26.48\textbackslash{}\%\\ +\hline +...156 & Anti-Mental Disability & Assault Offenses - Intimidation & 223 & 15.50\textbackslash{}\%\\ +\hline +...157 & Anti-Mental Disability & Destruction/Damage/Vandalism of Property & 177 & 12.30\textbackslash{}\%\\ +\hline +...158 & Anti-Mental Disability & Assault Offenses - Aggravated Assault & 147 & 10.22\textbackslash{}\%\\ +\hline +...159 & Anti-Mental Disability & Larceny/Theft Offenses - All Other Larceny & 118 & 8.20\textbackslash{}\%\\ +\hline +...160 & Anti-Mental Disability & All Other & 393 & 27.35\textbackslash{}\%\\ +\hline +...161 & Anti-Mental Disability & Total & 1,439 & 100\textbackslash{}\%\\ +\hline +...162 & Anti-Multiple Races, Group & Destruction/Damage/Vandalism of Property & 2,899 & 49.34\textbackslash{}\%\\ +\hline +...163 & Anti-Multiple Races, Group & Assault Offenses - Intimidation & 1,570 & 26.72\textbackslash{}\%\\ +\hline +...164 & Anti-Multiple Races, Group & Assault Offenses - Simple Assault & 657 & 11.18\textbackslash{}\%\\ +\hline +...165 & Anti-Multiple Races, Group & Assault Offenses - Aggravated Assault & 415 & 7.06\textbackslash{}\%\\ +\hline +...166 & Anti-Multiple Races, Group & Burglary/Breaking And Entering & 105 & 1.79\textbackslash{}\%\\ +\hline +...167 & Anti-Multiple Races, Group & All Other & 230 & 3.93\textbackslash{}\%\\ +\hline +...168 & Anti-Multiple Races, Group & Total & 5,876 & 100\textbackslash{}\%\\ +\hline +...169 & Anti-Multiple Religions, Group & Destruction/Damage/Vandalism of Property & 793 & 58.65\textbackslash{}\%\\ +\hline +...170 & Anti-Multiple Religions, Group & Assault Offenses - Intimidation & 204 & 15.09\textbackslash{}\%\\ +\hline +...171 & Anti-Multiple Religions, Group & Assault Offenses - Simple Assault & 94 & 6.95\textbackslash{}\%\\ +\hline +...172 & Anti-Multiple Religions, Group & Larceny/Theft Offenses - All Other Larceny & 54 & 3.99\textbackslash{}\%\\ +\hline +...173 & Anti-Multiple Religions, Group & Burglary/Breaking And Entering & 49 & 3.62\textbackslash{}\%\\ +\hline +...174 & Anti-Multiple Religions, Group & All Other & 158 & 11.68\textbackslash{}\%\\ +\hline +...175 & Anti-Multiple Religions, Group & Total & 1,352 & 100\textbackslash{}\%\\ +\hline +...176 & Anti-Native Hawaiian Or Other Pacific Islander & Assault Offenses - Simple Assault & 40 & 20.20\textbackslash{}\%\\ +\hline +...177 & Anti-Native Hawaiian Or Other Pacific Islander & Assault Offenses - Intimidation & 27 & 13.64\textbackslash{}\%\\ +\hline +...178 & Anti-Native Hawaiian Or Other Pacific Islander & Destruction/Damage/Vandalism of Property & 21 & 10.61\textbackslash{}\%\\ +\hline +...179 & Anti-Native Hawaiian Or Other Pacific Islander & Assault Offenses - Aggravated Assault & 19 & 9.60\textbackslash{}\%\\ +\hline +...180 & Anti-Native Hawaiian Or Other Pacific Islander & Larceny/Theft Offenses - All Other Larceny & 14 & 7.07\textbackslash{}\%\\ +\hline +...181 & Anti-Native Hawaiian Or Other Pacific Islander & All Other & 77 & 38.94\textbackslash{}\%\\ +\hline +...182 & Anti-Native Hawaiian Or Other Pacific Islander & Total & 198 & 100\textbackslash{}\%\\ +\hline +...183 & Anti-Other Christian & Destruction/Damage/Vandalism of Property & 238 & 50.42\textbackslash{}\%\\ +\hline +...184 & Anti-Other Christian & Assault Offenses - Intimidation & 80 & 16.95\textbackslash{}\%\\ +\hline +...185 & Anti-Other Christian & Assault Offenses - Simple Assault & 33 & 6.99\textbackslash{}\%\\ +\hline +...186 & Anti-Other Christian & Arson & 28 & 5.93\textbackslash{}\%\\ +\hline +...187 & Anti-Other Christian & Burglary/Breaking And Entering & 25 & 5.30\textbackslash{}\%\\ +\hline +...188 & Anti-Other Christian & All Other & 68 & 14.4\textbackslash{}\%\\ +\hline +...189 & Anti-Other Christian & Total & 472 & 100\textbackslash{}\%\\ +\hline +...190 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Assault Offenses - Intimidation & 4,131 & 34.72\textbackslash{}\%\\ +\hline +...191 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Destruction/Damage/Vandalism of Property & 3,378 & 28.39\textbackslash{}\%\\ +\hline +...192 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Assault Offenses - Simple Assault & 2,343 & 19.69\textbackslash{}\%\\ +\hline +...193 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Assault Offenses - Aggravated Assault & 1,164 & 9.78\textbackslash{}\%\\ +\hline +...194 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Burglary/Breaking And Entering & 190 & 1.60\textbackslash{}\%\\ +\hline +...195 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & All Other & 693 & 5.84\textbackslash{}\%\\ +\hline +...196 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Total & 11,899 & 100\textbackslash{}\%\\ +\hline +...197 & Anti-Other Religion & Destruction/Damage/Vandalism of Property & 2,111 & 56.43\textbackslash{}\%\\ +\hline +...198 & Anti-Other Religion & Assault Offenses - Intimidation & 746 & 19.94\textbackslash{}\%\\ +\hline +...199 & Anti-Other Religion & Assault Offenses - Simple Assault & 238 & 6.36\textbackslash{}\%\\ +\hline +...200 & Anti-Other Religion & Burglary/Breaking And Entering & 161 & 4.30\textbackslash{}\%\\ +\hline +...201 & Anti-Other Religion & Assault Offenses - Aggravated Assault & 119 & 3.18\textbackslash{}\%\\ +\hline +...202 & Anti-Other Religion & All Other & 366 & 9.8\textbackslash{}\%\\ +\hline +...203 & Anti-Other Religion & Total & 3,741 & 100\textbackslash{}\%\\ +\hline +...204 & Anti-Physical Disability & Assault Offenses - Simple Assault & 248 & 28.51\textbackslash{}\%\\ +\hline +...205 & Anti-Physical Disability & Assault Offenses - Intimidation & 182 & 20.92\textbackslash{}\%\\ +\hline +...206 & Anti-Physical Disability & Destruction/Damage/Vandalism of Property & 91 & 10.46\textbackslash{}\%\\ +\hline +...207 & Anti-Physical Disability & Assault Offenses - Aggravated Assault & 78 & 8.97\textbackslash{}\%\\ +\hline +...208 & Anti-Physical Disability & Larceny/Theft Offenses - All Other Larceny & 69 & 7.93\textbackslash{}\%\\ +\hline +...209 & Anti-Physical Disability & All Other & 202 & 23.13\textbackslash{}\%\\ +\hline +...210 & Anti-Physical Disability & Total & 870 & 100\textbackslash{}\%\\ +\hline +...211 & Anti-Protestant & Destruction/Damage/Vandalism of Property & 818 & 58.89\textbackslash{}\%\\ +\hline +...212 & Anti-Protestant & Assault Offenses - Intimidation & 134 & 9.65\textbackslash{}\%\\ +\hline +...213 & Anti-Protestant & Burglary/Breaking And Entering & 93 & 6.70\textbackslash{}\%\\ +\hline +...214 & Anti-Protestant & Assault Offenses - Simple Assault & 72 & 5.18\textbackslash{}\%\\ +\hline +...215 & Anti-Protestant & Larceny/Theft Offenses - All Other Larceny & 64 & 4.61\textbackslash{}\%\\ +\hline +...216 & Anti-Protestant & All Other & 208 & 14.97\textbackslash{}\%\\ +\hline +...217 & Anti-Protestant & Total & 1,389 & 100\textbackslash{}\%\\ +\hline +...218 & Anti-Sikh & Destruction/Damage/Vandalism of Property & 124 & 15.10\textbackslash{}\%\\ +\hline +...219 & Anti-Sikh & Larceny/Theft Offenses - All Other Larceny & 116 & 14.13\textbackslash{}\%\\ +\hline +...220 & Anti-Sikh & Assault Offenses - Simple Assault & 100 & 12.18\textbackslash{}\%\\ +\hline +...221 & Anti-Sikh & Drug/Narcotic Offenses - Drug/Narcotic Violations & 62 & 7.55\textbackslash{}\%\\ +\hline +...222 & Anti-Sikh & Burglary/Breaking And Entering & 53 & 6.46\textbackslash{}\%\\ +\hline +...223 & Anti-Sikh & All Other & 366 & 44.56\textbackslash{}\%\\ +\hline +...224 & Anti-Sikh & Total & 821 & 100\textbackslash{}\%\\ +\hline +...225 & Anti-Transgender & Assault Offenses - Simple Assault & 610 & 32.88\textbackslash{}\%\\ +\hline +...226 & Anti-Transgender & Assault Offenses - Intimidation & 467 & 25.18\textbackslash{}\%\\ +\hline +...227 & Anti-Transgender & Assault Offenses - Aggravated Assault & 345 & 18.60\textbackslash{}\%\\ +\hline +...228 & Anti-Transgender & Destruction/Damage/Vandalism of Property & 164 & 8.84\textbackslash{}\%\\ +\hline +...229 & Anti-Transgender & Robbery & 71 & 3.83\textbackslash{}\%\\ +\hline +...230 & Anti-Transgender & All Other & 198 & 10.65\textbackslash{}\%\\ +\hline +...231 & Anti-Transgender & Total & 1,855 & 100\textbackslash{}\%\\ +\hline +...232 & Anti-White & Assault Offenses - Simple Assault & 8,233 & 29.20\textbackslash{}\%\\ +\hline +...233 & Anti-White & Assault Offenses - Intimidation & 6,280 & 22.28\textbackslash{}\%\\ +\hline +...234 & Anti-White & Assault Offenses - Aggravated Assault & 4,528 & 16.06\textbackslash{}\%\\ +\hline +...235 & Anti-White & Destruction/Damage/Vandalism of Property & 3,811 & 13.52\textbackslash{}\%\\ +\hline +...236 & Anti-White & Robbery & 1,153 & 4.09\textbackslash{}\%\\ +\hline +...237 & Anti-White & All Other & 4,187 & 14.83\textbackslash{}\%\\ +\hline +...238 & Anti-White & Total & 28,192 & 100\textbackslash{}\%\\ +\hline +1 & Undocumented Code & Destruction/Damage/Vandalism of Property & 1 & 100.00\textbackslash{}\%\\ +\hline +NA & NA & NA & NA & NA\\ +\hline +NA.1 & NA & NA & NA & NA\\ +\hline +NA.2 & NA & NA & NA & NA\\ +\hline +NA.3 & NA & NA & NA & NA\\ +\hline +...244 & Undocumented Code & All Other & NA & NA\textbackslash{}\%\\ +\hline +...245 & Undocumented Code & Total & 1 & 100\textbackslash{}\%\\ +\hline +\end{longtable} + + + + + +\begin{longtable}[t]{l|l|l|r|r} +\caption{(\#tab:hateOffenseBias)The number and percent of biases by offense, 2023.}\\ +\hline + & Offense & Bias Motivation & \textbackslash{}\# of Incidents & \textbackslash{}\% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:hateOffenseBias)The number and percent of biases by offense, 2023. \textit{(continued)}}\\ +\hline + & Offense & Bias Motivation & \textbackslash{}\# of Incidents & \textbackslash{}\% of Incidents\\ +\hline +\endhead +...1 & Arson & Anti-Black & 449 & 29.58\textbackslash{}\%\\ +\hline +...2 & Arson & Anti-Jewish & 178 & 11.73\textbackslash{}\%\\ +\hline +...3 & Arson & Anti-Other Religion & 110 & 7.25\textbackslash{}\%\\ +\hline +...4 & Arson & Anti-Gay (Male) & 97 & 6.39\textbackslash{}\%\\ +\hline +...5 & Arson & Anti-White & 96 & 6.32\textbackslash{}\%\\ +\hline +...6 & Arson & All Other & 588 & 38.75\textbackslash{}\%\\ +\hline +...7 & Arson & Total & 1,518 & 100\textbackslash{}\%\\ +\hline +...8 & Assault Offenses - Aggravated Assault & Anti-Black & 10,128 & 36.01\textbackslash{}\%\\ +\hline +...9 & Assault Offenses - Aggravated Assault & Anti-White & 4,528 & 16.10\textbackslash{}\%\\ +\hline +...10 & Assault Offenses - Aggravated Assault & Anti-Gay (Male) & 3,999 & 14.22\textbackslash{}\%\\ +\hline +...11 & Assault Offenses - Aggravated Assault & Anti-Hispanic Or Latino & 2,994 & 10.64\textbackslash{}\%\\ +\hline +...12 & Assault Offenses - Aggravated Assault & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 1,164 & 4.14\textbackslash{}\%\\ +\hline +...13 & Assault Offenses - Aggravated Assault & All Other & 5,314 & 18.89\textbackslash{}\%\\ +\hline +...14 & Assault Offenses - Aggravated Assault & Total & 28,127 & 100\textbackslash{}\%\\ +\hline +...15 & Assault Offenses - Intimidation & Anti-Black & 30,996 & 41.12\textbackslash{}\%\\ +\hline +...16 & Assault Offenses - Intimidation & Anti-Jewish & 8,246 & 10.94\textbackslash{}\%\\ +\hline +...17 & Assault Offenses - Intimidation & Anti-Gay (Male) & 6,771 & 8.98\textbackslash{}\%\\ +\hline +...18 & Assault Offenses - Intimidation & Anti-White & 6,280 & 8.33\textbackslash{}\%\\ +\hline +...19 & Assault Offenses - Intimidation & Anti-Hispanic Or Latino & 5,033 & 6.68\textbackslash{}\%\\ +\hline +...20 & Assault Offenses - Intimidation & All Other & 18,055 & 23.96\textbackslash{}\%\\ +\hline +...21 & Assault Offenses - Intimidation & Total & 75,381 & 100\textbackslash{}\%\\ +\hline +...22 & Assault Offenses - Simple Assault & Anti-Black & 15,481 & 30.71\textbackslash{}\%\\ +\hline +...23 & Assault Offenses - Simple Assault & Anti-White & 8,233 & 16.33\textbackslash{}\%\\ +\hline +...24 & Assault Offenses - Simple Assault & Anti-Gay (Male) & 7,944 & 15.76\textbackslash{}\%\\ +\hline +...25 & Assault Offenses - Simple Assault & Anti-Hispanic Or Latino & 4,278 & 8.49\textbackslash{}\%\\ +\hline +...26 & Assault Offenses - Simple Assault & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 2,343 & 4.65\textbackslash{}\%\\ +\hline +...27 & Assault Offenses - Simple Assault & All Other & 12,131 & 24.06\textbackslash{}\%\\ +\hline +...28 & Assault Offenses - Simple Assault & Total & 50,410 & 100\textbackslash{}\%\\ +\hline +...29 & Bribery & Anti-Black & 2 & 33.33\textbackslash{}\%\\ +\hline +...30 & Bribery & Anti-White & 1 & 16.67\textbackslash{}\%\\ +\hline +...31 & Bribery & Anti-Heterosexual & 1 & 16.67\textbackslash{}\%\\ +\hline +...32 & Bribery & Anti-Arab & 1 & 16.67\textbackslash{}\%\\ +\hline +...33 & Bribery & Anti-Gay (Male) & 1 & 16.67\textbackslash{}\%\\ +\hline +...34 & Bribery & All Other & NA & NA\textbackslash{}\%\\ +\hline +...35 & Bribery & Total & 6 & 100\textbackslash{}\%\\ +\hline +...36 & Burglary/Breaking And Entering & Anti-Black & 1,003 & 24.93\textbackslash{}\%\\ +\hline +...37 & Burglary/Breaking And Entering & Anti-White & 641 & 15.93\textbackslash{}\%\\ +\hline +...38 & Burglary/Breaking And Entering & Anti-Jewish & 341 & 8.48\textbackslash{}\%\\ +\hline +...39 & Burglary/Breaking And Entering & Anti-Gay (Male) & 241 & 5.99\textbackslash{}\%\\ +\hline +...40 & Burglary/Breaking And Entering & Anti-Hispanic Or Latino & 212 & 5.27\textbackslash{}\%\\ +\hline +...41 & Burglary/Breaking And Entering & All Other & 1,585 & 39.4\textbackslash{}\%\\ +\hline +...42 & Burglary/Breaking And Entering & Total & 4,023 & 100\textbackslash{}\%\\ +\hline +...43 & Counterfeiting/Forgery & Anti-White & 103 & 40.23\textbackslash{}\%\\ +\hline +...44 & Counterfeiting/Forgery & Anti-Black & 25 & 9.77\textbackslash{}\%\\ +\hline +...45 & Counterfeiting/Forgery & Anti-American Indian Or Native Alaskan & 21 & 8.20\textbackslash{}\%\\ +\hline +...46 & Counterfeiting/Forgery & Anti-Catholic & 11 & 4.30\textbackslash{}\%\\ +\hline +...47 & Counterfeiting/Forgery & Anti-Sikh & 10 & 3.91\textbackslash{}\%\\ +\hline +...48 & Counterfeiting/Forgery & All Other & 86 & 33.54\textbackslash{}\%\\ +\hline +...49 & Counterfeiting/Forgery & Total & 256 & 100\textbackslash{}\%\\ +\hline +...50 & Destruction/Damage/Vandalism of Property & Anti-Black & 24,150 & 31.98\textbackslash{}\%\\ +\hline +...51 & Destruction/Damage/Vandalism of Property & Anti-Jewish & 20,381 & 26.99\textbackslash{}\%\\ +\hline +...52 & Destruction/Damage/Vandalism of Property & Anti-Gay (Male) & 4,271 & 5.66\textbackslash{}\%\\ +\hline +...53 & Destruction/Damage/Vandalism of Property & Anti-White & 3,811 & 5.05\textbackslash{}\%\\ +\hline +...54 & Destruction/Damage/Vandalism of Property & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 3,378 & 4.47\textbackslash{}\%\\ +\hline +...55 & Destruction/Damage/Vandalism of Property & All Other & 19,533 & 25.87\textbackslash{}\%\\ +\hline +...56 & Destruction/Damage/Vandalism of Property & Total & 75,524 & 100\textbackslash{}\%\\ +\hline +...57 & Drug/Narcotic Offenses - Drug Equipment Violations & Anti-White & 131 & 32.51\textbackslash{}\%\\ +\hline +...58 & Drug/Narcotic Offenses - Drug Equipment Violations & Anti-American Indian Or Native Alaskan & 58 & 14.39\textbackslash{}\%\\ +\hline +...59 & Drug/Narcotic Offenses - Drug Equipment Violations & Anti-Eastern Orthodox (Greek, Russian, Other) & 26 & 6.45\textbackslash{}\%\\ +\hline +...60 & Drug/Narcotic Offenses - Drug Equipment Violations & Anti-Sikh & 24 & 5.96\textbackslash{}\%\\ +\hline +...61 & Drug/Narcotic Offenses - Drug Equipment Violations & Anti-Black & 19 & 4.71\textbackslash{}\%\\ +\hline +...62 & Drug/Narcotic Offenses - Drug Equipment Violations & All Other & 145 & 35.96\textbackslash{}\%\\ +\hline +...63 & Drug/Narcotic Offenses - Drug Equipment Violations & Total & 403 & 100\textbackslash{}\%\\ +\hline +...64 & Drug/Narcotic Offenses - Drug/Narcotic Violations & Anti-White & 495 & 33.86\textbackslash{}\%\\ +\hline +...65 & Drug/Narcotic Offenses - Drug/Narcotic Violations & Anti-Black & 248 & 16.96\textbackslash{}\%\\ +\hline +...66 & Drug/Narcotic Offenses - Drug/Narcotic Violations & Anti-American Indian Or Native Alaskan & 156 & 10.67\textbackslash{}\%\\ +\hline +...67 & Drug/Narcotic Offenses - Drug/Narcotic Violations & Anti-Sikh & 62 & 4.24\textbackslash{}\%\\ +\hline +...68 & Drug/Narcotic Offenses - Drug/Narcotic Violations & Anti-Hispanic Or Latino & 46 & 3.15\textbackslash{}\%\\ +\hline +...69 & Drug/Narcotic Offenses - Drug/Narcotic Violations & All Other & 455 & 31.15\textbackslash{}\%\\ +\hline +...70 & Drug/Narcotic Offenses - Drug/Narcotic Violations & Total & 1,462 & 100\textbackslash{}\%\\ +\hline +...71 & Embezzlement & Anti-White & 24 & 33.80\textbackslash{}\%\\ +\hline +...72 & Embezzlement & Anti-American Indian Or Native Alaskan & 9 & 12.68\textbackslash{}\%\\ +\hline +...73 & Embezzlement & Anti-Mental Disability & 6 & 8.45\textbackslash{}\%\\ +\hline +...74 & Embezzlement & Anti-Black & 5 & 7.04\textbackslash{}\%\\ +\hline +...75 & Embezzlement & Anti-Physical Disability & 5 & 7.04\textbackslash{}\%\\ +\hline +...76 & Embezzlement & All Other & 22 & 31.02\textbackslash{}\%\\ +\hline +...77 & Embezzlement & Total & 71 & 100\textbackslash{}\%\\ +\hline +...78 & Extortion/Blackmail & Anti-Gay (Male) & 17 & 22.08\textbackslash{}\%\\ +\hline +...79 & Extortion/Blackmail & Anti-White & 9 & 11.69\textbackslash{}\%\\ +\hline +...80 & Extortion/Blackmail & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 7 & 9.09\textbackslash{}\%\\ +\hline +...81 & Extortion/Blackmail & Anti-Black & 7 & 9.09\textbackslash{}\%\\ +\hline +...82 & Extortion/Blackmail & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 7 & 9.09\textbackslash{}\%\\ +\hline +...83 & Extortion/Blackmail & All Other & 30 & 38.97\textbackslash{}\%\\ +\hline +...84 & Extortion/Blackmail & Total & 77 & 100\textbackslash{}\%\\ +\hline +...85 & Fraud Offenses - Credit Card/Atm Fraud & Anti-White & 57 & 30.16\textbackslash{}\%\\ +\hline +...86 & Fraud Offenses - Credit Card/Atm Fraud & Anti-American Indian Or Native Alaskan & 18 & 9.52\textbackslash{}\%\\ +\hline +...87 & Fraud Offenses - Credit Card/Atm Fraud & Anti-Sikh & 14 & 7.41\textbackslash{}\%\\ +\hline +...88 & Fraud Offenses - Credit Card/Atm Fraud & Anti-Mental Disability & 14 & 7.41\textbackslash{}\%\\ +\hline +...89 & Fraud Offenses - Credit Card/Atm Fraud & Anti-Black & 10 & 5.29\textbackslash{}\%\\ +\hline +...90 & Fraud Offenses - Credit Card/Atm Fraud & All Other & 76 & 40.23\textbackslash{}\%\\ +\hline +...91 & Fraud Offenses - Credit Card/Atm Fraud & Total & 189 & 100\textbackslash{}\%\\ +\hline +...92 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & Anti-White & 123 & 32.54\textbackslash{}\%\\ +\hline +...93 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & Anti-Black & 34 & 8.99\textbackslash{}\%\\ +\hline +...94 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & Anti-Mental Disability & 29 & 7.67\textbackslash{}\%\\ +\hline +...95 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & Anti-Sikh & 28 & 7.41\textbackslash{}\%\\ +\hline +...96 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & Anti-American Indian Or Native Alaskan & 18 & 4.76\textbackslash{}\%\\ +\hline +...97 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & All Other & 146 & 38.62\textbackslash{}\%\\ +\hline +...98 & Fraud Offenses - False Pretenses/Swindle/Confidence Game & Total & 378 & 100\textbackslash{}\%\\ +\hline +...99 & Fraud Offenses - Impersonation & Anti-White & 43 & 27.74\textbackslash{}\%\\ +\hline +...100 & Fraud Offenses - Impersonation & Anti-Black & 23 & 14.84\textbackslash{}\%\\ +\hline +...101 & Fraud Offenses - Impersonation & Anti-American Indian Or Native Alaskan & 23 & 14.84\textbackslash{}\%\\ +\hline +...102 & Fraud Offenses - Impersonation & Anti-Hispanic Or Latino & 11 & 7.10\textbackslash{}\%\\ +\hline +...103 & Fraud Offenses - Impersonation & Anti-Catholic & 5 & 3.23\textbackslash{}\%\\ +\hline +...104 & Fraud Offenses - Impersonation & All Other & 50 & 32.32\textbackslash{}\%\\ +\hline +...105 & Fraud Offenses - Impersonation & Total & 155 & 100\textbackslash{}\%\\ +\hline +...106 & Fraud Offenses - Other & Anti-White & 34 & 27.87\textbackslash{}\%\\ +\hline +...107 & Fraud Offenses - Other & Anti-Sikh & 12 & 9.84\textbackslash{}\%\\ +\hline +...108 & Fraud Offenses - Other & Anti-Black & 12 & 9.84\textbackslash{}\%\\ +\hline +...109 & Fraud Offenses - Other & Anti-American Indian Or Native Alaskan & 12 & 9.84\textbackslash{}\%\\ +\hline +...110 & Fraud Offenses - Other & Anti-Mental Disability & 6 & 4.92\textbackslash{}\%\\ +\hline +...111 & Fraud Offenses - Other & All Other & 46 & 37.72\textbackslash{}\%\\ +\hline +...112 & Fraud Offenses - Other & Total & 122 & 100\textbackslash{}\%\\ +\hline +1...113 & Fraud Offenses - Welfare Fraud & Anti-White & 6 & 60.00\textbackslash{}\%\\ +\hline +2...114 & Fraud Offenses - Welfare Fraud & Anti-Mental Disability & 2 & 20.00\textbackslash{}\%\\ +\hline +3...115 & Fraud Offenses - Welfare Fraud & Anti-American Indian Or Native Alaskan & 1 & 10.00\textbackslash{}\%\\ +\hline +4...116 & Fraud Offenses - Welfare Fraud & Anti-Arab & 1 & 10.00\textbackslash{}\%\\ +\hline +NA...117 & NA & NA & NA & NA\\ +\hline +...118 & Fraud Offenses - Welfare Fraud & All Other & NA & NA\textbackslash{}\%\\ +\hline +...119 & Fraud Offenses - Welfare Fraud & Total & 10 & 100\textbackslash{}\%\\ +\hline +...120 & Fraud Offenses - Wire Fraud & Anti-White & 8 & 27.59\textbackslash{}\%\\ +\hline +...121 & Fraud Offenses - Wire Fraud & Anti-Gender Non-Conforming & 3 & 10.34\textbackslash{}\%\\ +\hline +...122 & Fraud Offenses - Wire Fraud & Anti-Catholic & 2 & 6.90\textbackslash{}\%\\ +\hline +...123 & Fraud Offenses - Wire Fraud & Anti-Female & 2 & 6.90\textbackslash{}\%\\ +\hline +...124 & Fraud Offenses - Wire Fraud & Anti-Multiple Races, Group & 2 & 6.90\textbackslash{}\%\\ +\hline +...125 & Fraud Offenses - Wire Fraud & All Other & 12 & 41.4\textbackslash{}\%\\ +\hline +...126 & Fraud Offenses - Wire Fraud & Total & 29 & 100\textbackslash{}\%\\ +\hline +1...127 & Gambling Offenses - Betting/Wagering & Anti-Physical Disability & 1 & 100.00\textbackslash{}\%\\ +\hline +NA...128 & NA & NA & NA & NA\\ +\hline +NA.1...129 & NA & NA & NA & NA\\ +\hline +NA.2...130 & NA & NA & NA & NA\\ +\hline +NA.3...131 & NA & NA & NA & NA\\ +\hline +...132 & Gambling Offenses - Betting/Wagering & All Other & NA & NA\textbackslash{}\%\\ +\hline +...133 & Gambling Offenses - Betting/Wagering & Total & 1 & 100\textbackslash{}\%\\ +\hline +1...134 & Human Trafficking - Commercial Sex Acts & Anti-Transgender & 1 & 25.00\textbackslash{}\%\\ +\hline +2...135 & Human Trafficking - Commercial Sex Acts & Anti-Asian & 1 & 25.00\textbackslash{}\%\\ +\hline +3...136 & Human Trafficking - Commercial Sex Acts & Anti-Physical Disability & 1 & 25.00\textbackslash{}\%\\ +\hline +4...137 & Human Trafficking - Commercial Sex Acts & Anti-Black & 1 & 25.00\textbackslash{}\%\\ +\hline +NA...138 & NA & NA & NA & NA\\ +\hline +...139 & Human Trafficking - Commercial Sex Acts & All Other & NA & NA\textbackslash{}\%\\ +\hline +...140 & Human Trafficking - Commercial Sex Acts & Total & 4 & 100\textbackslash{}\%\\ +\hline +1...141 & Human Trafficking - Involuntary Servitude & Anti-Female & 1 & 100.00\textbackslash{}\%\\ +\hline +NA...142 & NA & NA & NA & NA\\ +\hline +NA.1...143 & NA & NA & NA & NA\\ +\hline +NA.2...144 & NA & NA & NA & NA\\ +\hline +NA.3...145 & NA & NA & NA & NA\\ +\hline +...146 & Human Trafficking - Involuntary Servitude & All Other & NA & NA\textbackslash{}\%\\ +\hline +...147 & Human Trafficking - Involuntary Servitude & Total & 1 & 100\textbackslash{}\%\\ +\hline +...148 & Kidnapping/Abduction & Anti-Black & 31 & 17.92\textbackslash{}\%\\ +\hline +...149 & Kidnapping/Abduction & Anti-White & 31 & 17.92\textbackslash{}\%\\ +\hline +...150 & Kidnapping/Abduction & Anti-Gay (Male) & 13 & 7.51\textbackslash{}\%\\ +\hline +...151 & Kidnapping/Abduction & Anti-Hispanic Or Latino & 11 & 6.36\textbackslash{}\%\\ +\hline +...152 & Kidnapping/Abduction & Anti-Transgender & 9 & 5.20\textbackslash{}\%\\ +\hline +...153 & Kidnapping/Abduction & All Other & 78 & 45.08\textbackslash{}\%\\ +\hline +...154 & Kidnapping/Abduction & Total & 173 & 100\textbackslash{}\%\\ +\hline +...155 & Larceny/Theft Offenses - All Other Larceny & Anti-White & 824 & 27.38\textbackslash{}\%\\ +\hline +...156 & Larceny/Theft Offenses - All Other Larceny & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 320 & 10.63\textbackslash{}\%\\ +\hline +...157 & Larceny/Theft Offenses - All Other Larceny & Anti-Black & 271 & 9.00\textbackslash{}\%\\ +\hline +...158 & Larceny/Theft Offenses - All Other Larceny & Anti-American Indian Or Native Alaskan & 202 & 6.71\textbackslash{}\%\\ +\hline +...159 & Larceny/Theft Offenses - All Other Larceny & Anti-Mental Disability & 118 & 3.92\textbackslash{}\%\\ +\hline +...160 & Larceny/Theft Offenses - All Other Larceny & All Other & 1,275 & 42.36\textbackslash{}\%\\ +\hline +...161 & Larceny/Theft Offenses - All Other Larceny & Total & 3,010 & 100\textbackslash{}\%\\ +\hline +...162 & Larceny/Theft Offenses - Other & Anti-Black & 178 & 19.24\textbackslash{}\%\\ +\hline +...163 & Larceny/Theft Offenses - Other & Anti-Jewish & 176 & 19.03\textbackslash{}\%\\ +\hline +...164 & Larceny/Theft Offenses - Other & Anti-Gay (Male) & 84 & 9.08\textbackslash{}\%\\ +\hline +...165 & Larceny/Theft Offenses - Other & Anti-White & 76 & 8.22\textbackslash{}\%\\ +\hline +...166 & Larceny/Theft Offenses - Other & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 62 & 6.70\textbackslash{}\%\\ +\hline +...167 & Larceny/Theft Offenses - Other & All Other & 349 & 37.73\textbackslash{}\%\\ +\hline +...168 & Larceny/Theft Offenses - Other & Total & 925 & 100\textbackslash{}\%\\ +\hline +...169 & Larceny/Theft Offenses - Pocket-Picking & Anti-Black & 8 & 26.67\textbackslash{}\%\\ +\hline +...170 & Larceny/Theft Offenses - Pocket-Picking & Anti-White & 7 & 23.33\textbackslash{}\%\\ +\hline +...171 & Larceny/Theft Offenses - Pocket-Picking & Anti-Hispanic Or Latino & 4 & 13.33\textbackslash{}\%\\ +\hline +...172 & Larceny/Theft Offenses - Pocket-Picking & Anti-American Indian Or Native Alaskan & 3 & 10.00\textbackslash{}\%\\ +\hline +...173 & Larceny/Theft Offenses - Pocket-Picking & Anti-Physical Disability & 2 & 6.67\textbackslash{}\%\\ +\hline +...174 & Larceny/Theft Offenses - Pocket-Picking & All Other & 6 & 19.98\textbackslash{}\%\\ +\hline +...175 & Larceny/Theft Offenses - Pocket-Picking & Total & 30 & 100\textbackslash{}\%\\ +\hline +...176 & Larceny/Theft Offenses - Purse-Snatching & Anti-White & 10 & 32.26\textbackslash{}\%\\ +\hline +...177 & Larceny/Theft Offenses - Purse-Snatching & Anti-Black & 3 & 9.68\textbackslash{}\%\\ +\hline +...178 & Larceny/Theft Offenses - Purse-Snatching & Anti-American Indian Or Native Alaskan & 3 & 9.68\textbackslash{}\%\\ +\hline +...179 & Larceny/Theft Offenses - Purse-Snatching & Anti-Gay (Male) & 2 & 6.45\textbackslash{}\%\\ +\hline +...180 & Larceny/Theft Offenses - Purse-Snatching & Anti-Bisexual & 2 & 6.45\textbackslash{}\%\\ +\hline +...181 & Larceny/Theft Offenses - Purse-Snatching & All Other & 11 & 35.51\textbackslash{}\%\\ +\hline +...182 & Larceny/Theft Offenses - Purse-Snatching & Total & 31 & 100\textbackslash{}\%\\ +\hline +...183 & Larceny/Theft Offenses - Shoplifting & Anti-White & 285 & 33.41\textbackslash{}\%\\ +\hline +...184 & Larceny/Theft Offenses - Shoplifting & Anti-Black & 92 & 10.79\textbackslash{}\%\\ +\hline +...185 & Larceny/Theft Offenses - Shoplifting & Anti-American Indian Or Native Alaskan & 88 & 10.32\textbackslash{}\%\\ +\hline +...186 & Larceny/Theft Offenses - Shoplifting & Anti-Sikh & 35 & 4.10\textbackslash{}\%\\ +\hline +...187 & Larceny/Theft Offenses - Shoplifting & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 31 & 3.63\textbackslash{}\%\\ +\hline +...188 & Larceny/Theft Offenses - Shoplifting & All Other & 322 & 37.77\textbackslash{}\%\\ +\hline +...189 & Larceny/Theft Offenses - Shoplifting & Total & 853 & 100\textbackslash{}\%\\ +\hline +...190 & Larceny/Theft Offenses - Theft From Building & Anti-White & 206 & 30.07\textbackslash{}\%\\ +\hline +...191 & Larceny/Theft Offenses - Theft From Building & Anti-Black & 61 & 8.91\textbackslash{}\%\\ +\hline +...192 & Larceny/Theft Offenses - Theft From Building & Anti-American Indian Or Native Alaskan & 54 & 7.88\textbackslash{}\%\\ +\hline +...193 & Larceny/Theft Offenses - Theft From Building & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 47 & 6.86\textbackslash{}\%\\ +\hline +...194 & Larceny/Theft Offenses - Theft From Building & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 33 & 4.82\textbackslash{}\%\\ +\hline +...195 & Larceny/Theft Offenses - Theft From Building & All Other & 284 & 41.49\textbackslash{}\%\\ +\hline +...196 & Larceny/Theft Offenses - Theft From Building & Total & 685 & 100\textbackslash{}\%\\ +\hline +...197 & Larceny/Theft Offenses - Theft From Motor Vehicle & Anti-White & 313 & 33.23\textbackslash{}\%\\ +\hline +...198 & Larceny/Theft Offenses - Theft From Motor Vehicle & Anti-American Indian Or Native Alaskan & 102 & 10.83\textbackslash{}\%\\ +\hline +...199 & Larceny/Theft Offenses - Theft From Motor Vehicle & Anti-Black & 91 & 9.66\textbackslash{}\%\\ +\hline +...200 & Larceny/Theft Offenses - Theft From Motor Vehicle & Anti-Sikh & 43 & 4.56\textbackslash{}\%\\ +\hline +...201 & Larceny/Theft Offenses - Theft From Motor Vehicle & Anti-Hispanic Or Latino & 40 & 4.25\textbackslash{}\%\\ +\hline +...202 & Larceny/Theft Offenses - Theft From Motor Vehicle & All Other & 353 & 37.46\textbackslash{}\%\\ +\hline +...203 & Larceny/Theft Offenses - Theft From Motor Vehicle & Total & 942 & 100\textbackslash{}\%\\ +\hline +...204 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Anti-White & 91 & 34.34\textbackslash{}\%\\ +\hline +...205 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Anti-Black & 27 & 10.19\textbackslash{}\%\\ +\hline +...206 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Anti-American Indian Or Native Alaskan & 26 & 9.81\textbackslash{}\%\\ +\hline +...207 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Anti-Sikh & 14 & 5.28\textbackslash{}\%\\ +\hline +...208 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 10 & 3.77\textbackslash{}\%\\ +\hline +...209 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & All Other & 97 & 36.59\textbackslash{}\%\\ +\hline +...210 & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Total & 265 & 100\textbackslash{}\%\\ +\hline +...211 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & Anti-White & 4 & 25.00\textbackslash{}\%\\ +\hline +...212 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & Anti-American Indian Or Native Alaskan & 3 & 18.75\textbackslash{}\%\\ +\hline +...213 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & Anti-Physical Disability & 3 & 18.75\textbackslash{}\%\\ +\hline +...214 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & Anti-Black & 2 & 12.50\textbackslash{}\%\\ +\hline +...215 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & Anti-Sikh & 1 & 6.25\textbackslash{}\%\\ +\hline +...216 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & All Other & 3 & 18.75\textbackslash{}\%\\ +\hline +...217 & Larceny/Theft Offenses - Theft Rom Coin-Operated Machine Or Device & Total & 16 & 100\textbackslash{}\%\\ +\hline +...218 & Motor Vehicle Theft & Anti-White & 173 & 28.18\textbackslash{}\%\\ +\hline +...219 & Motor Vehicle Theft & Anti-Black & 87 & 14.17\textbackslash{}\%\\ +\hline +...220 & Motor Vehicle Theft & Anti-American Indian Or Native Alaskan & 81 & 13.19\textbackslash{}\%\\ +\hline +...221 & Motor Vehicle Theft & Anti-Sikh & 31 & 5.05\textbackslash{}\%\\ +\hline +...222 & Motor Vehicle Theft & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 25 & 4.07\textbackslash{}\%\\ +\hline +...223 & Motor Vehicle Theft & All Other & 217 & 35.34\textbackslash{}\%\\ +\hline +...224 & Motor Vehicle Theft & Total & 614 & 100\textbackslash{}\%\\ +\hline +...225 & Murder/Nonnegligent Manslaughter & Anti-Black & 82 & 23.56\textbackslash{}\%\\ +\hline +...226 & Murder/Nonnegligent Manslaughter & Anti-Gay (Male) & 65 & 18.68\textbackslash{}\%\\ +\hline +...227 & Murder/Nonnegligent Manslaughter & Anti-White & 52 & 14.94\textbackslash{}\%\\ +\hline +...228 & Murder/Nonnegligent Manslaughter & Anti-Hispanic Or Latino & 42 & 12.07\textbackslash{}\%\\ +\hline +...229 & Murder/Nonnegligent Manslaughter & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 16 & 4.60\textbackslash{}\%\\ +\hline +...230 & Murder/Nonnegligent Manslaughter & All Other & 91 & 26.14\textbackslash{}\%\\ +\hline +...231 & Murder/Nonnegligent Manslaughter & Total & 348 & 100\textbackslash{}\%\\ +\hline +...232 & Negligent Manslaughter & Anti-American Indian Or Native Alaskan & 2 & 25.00\textbackslash{}\%\\ +\hline +...233 & Negligent Manslaughter & Anti-Physical Disability & 2 & 25.00\textbackslash{}\%\\ +\hline +...234 & Negligent Manslaughter & Anti-Black & 2 & 25.00\textbackslash{}\%\\ +\hline +...235 & Negligent Manslaughter & Anti-Hispanic Or Latino & 1 & 12.50\textbackslash{}\%\\ +\hline +...236 & Negligent Manslaughter & Anti-White & 1 & 12.50\textbackslash{}\%\\ +\hline +...237 & Negligent Manslaughter & All Other & NA & NA\textbackslash{}\%\\ +\hline +...238 & Negligent Manslaughter & Total & 8 & 100\textbackslash{}\%\\ +\hline +...239 & Pornography/Obscene Material & Anti-Black & 15 & 16.85\textbackslash{}\%\\ +\hline +...240 & Pornography/Obscene Material & Anti-White & 10 & 11.24\textbackslash{}\%\\ +\hline +...241 & Pornography/Obscene Material & Anti-Female & 7 & 7.87\textbackslash{}\%\\ +\hline +...242 & Pornography/Obscene Material & Anti-Gay (Male) & 6 & 6.74\textbackslash{}\%\\ +\hline +...243 & Pornography/Obscene Material & Anti-American Indian Or Native Alaskan & 6 & 6.74\textbackslash{}\%\\ +\hline +...244 & Pornography/Obscene Material & All Other & 45 & 50.54\textbackslash{}\%\\ +\hline +...245 & Pornography/Obscene Material & Total & 89 & 100\textbackslash{}\%\\ +\hline +...246 & Prostitution Offenses - Assisting Or Promoting Prostitution & Anti-Mental Disability & 2 & 28.57\textbackslash{}\%\\ +\hline +...247 & Prostitution Offenses - Assisting Or Promoting Prostitution & Anti-White & 1 & 14.29\textbackslash{}\%\\ +\hline +...248 & Prostitution Offenses - Assisting Or Promoting Prostitution & Anti-Gender Non-Conforming & 1 & 14.29\textbackslash{}\%\\ +\hline +...249 & Prostitution Offenses - Assisting Or Promoting Prostitution & Anti-Black & 1 & 14.29\textbackslash{}\%\\ +\hline +...250 & Prostitution Offenses - Assisting Or Promoting Prostitution & Anti-Male & 1 & 14.29\textbackslash{}\%\\ +\hline +...251 & Prostitution Offenses - Assisting Or Promoting Prostitution & All Other & 1 & 14.29\textbackslash{}\%\\ +\hline +...252 & Prostitution Offenses - Assisting Or Promoting Prostitution & Total & 7 & 100\textbackslash{}\%\\ +\hline +1...253 & Prostitution Offenses - Prostitution & Anti-White & 10 & 66.67\textbackslash{}\%\\ +\hline +2...254 & Prostitution Offenses - Prostitution & Anti-Asian & 3 & 20.00\textbackslash{}\%\\ +\hline +3...255 & Prostitution Offenses - Prostitution & Anti-Lesbian (Female) & 1 & 6.67\textbackslash{}\%\\ +\hline +4...256 & Prostitution Offenses - Prostitution & Anti-Other Religion & 1 & 6.67\textbackslash{}\%\\ +\hline +NA...257 & NA & NA & NA & NA\\ +\hline +...258 & Prostitution Offenses - Prostitution & All Other & NA & NA\textbackslash{}\%\\ +\hline +...259 & Prostitution Offenses - Prostitution & Total & 15 & 100\textbackslash{}\%\\ +\hline +1...260 & Prostitution Offenses - Purchasing Prostitution & Anti-Asian & 1 & 50.00\textbackslash{}\%\\ +\hline +2...261 & Prostitution Offenses - Purchasing Prostitution & Anti-Heterosexual & 1 & 50.00\textbackslash{}\%\\ +\hline +NA...262 & NA & NA & NA & NA\\ +\hline +NA.1...263 & NA & NA & NA & NA\\ +\hline +NA.2...264 & NA & NA & NA & NA\\ +\hline +...265 & Prostitution Offenses - Purchasing Prostitution & All Other & NA & NA\textbackslash{}\%\\ +\hline +...266 & Prostitution Offenses - Purchasing Prostitution & Total & 2 & 100\textbackslash{}\%\\ +\hline +...267 & Robbery & Anti-White & 1,153 & 25.57\textbackslash{}\%\\ +\hline +...268 & Robbery & Anti-Gay (Male) & 1,079 & 23.93\textbackslash{}\%\\ +\hline +...269 & Robbery & Anti-Black & 673 & 14.93\textbackslash{}\%\\ +\hline +...270 & Robbery & Anti-Hispanic Or Latino & 544 & 12.06\textbackslash{}\%\\ +\hline +...271 & Robbery & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 215 & 4.77\textbackslash{}\%\\ +\hline +...272 & Robbery & All Other & 845 & 18.71\textbackslash{}\%\\ +\hline +...273 & Robbery & Total & 4,509 & 100\textbackslash{}\%\\ +\hline +...274 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & Anti-White & 62 & 23.40\textbackslash{}\%\\ +\hline +...275 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & Anti-Black & 33 & 12.45\textbackslash{}\%\\ +\hline +...276 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & Anti-Gay (Male) & 32 & 12.08\textbackslash{}\%\\ +\hline +...277 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & Anti-Mental Disability & 18 & 6.79\textbackslash{}\%\\ +\hline +...278 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & Anti-American Indian Or Native Alaskan & 14 & 5.28\textbackslash{}\%\\ +\hline +...279 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & All Other & 106 & 39.98\textbackslash{}\%\\ +\hline +...280 & Sex Offenses - Fondling - Indecent Liberties/Child Molest & Total & 265 & 100\textbackslash{}\%\\ +\hline +...281 & Sex Offenses - Incest & Anti-White & 2 & 28.57\textbackslash{}\%\\ +\hline +...282 & Sex Offenses - Incest & Anti-American Indian Or Native Alaskan & 1 & 14.29\textbackslash{}\%\\ +\hline +...283 & Sex Offenses - Incest & Anti-Heterosexual & 1 & 14.29\textbackslash{}\%\\ +\hline +...284 & Sex Offenses - Incest & Anti-Lesbian (Female) & 1 & 14.29\textbackslash{}\%\\ +\hline +...285 & Sex Offenses - Incest & Anti-Bisexual & 1 & 14.29\textbackslash{}\%\\ +\hline +...286 & Sex Offenses - Incest & All Other & 1 & 14.29\textbackslash{}\%\\ +\hline +...287 & Sex Offenses - Incest & Total & 7 & 100\textbackslash{}\%\\ +\hline +...288 & Sex Offenses - Rape & Anti-White & 83 & 25.23\textbackslash{}\%\\ +\hline +...289 & Sex Offenses - Rape & Anti-Lesbian (Female) & 50 & 15.20\textbackslash{}\%\\ +\hline +...290 & Sex Offenses - Rape & Anti-Black & 46 & 13.98\textbackslash{}\%\\ +\hline +...291 & Sex Offenses - Rape & Anti-Mental Disability & 20 & 6.08\textbackslash{}\%\\ +\hline +...292 & Sex Offenses - Rape & Anti-Female & 16 & 4.86\textbackslash{}\%\\ +\hline +...293 & Sex Offenses - Rape & All Other & 114 & 34.63\textbackslash{}\%\\ +\hline +...294 & Sex Offenses - Rape & Total & 329 & 100\textbackslash{}\%\\ +\hline +...295 & Sex Offenses - Sexual Assault With An Object & Anti-Gay (Male) & 12 & 24.00\textbackslash{}\%\\ +\hline +...296 & Sex Offenses - Sexual Assault With An Object & Anti-Black & 7 & 14.00\textbackslash{}\%\\ +\hline +...297 & Sex Offenses - Sexual Assault With An Object & Anti-White & 7 & 14.00\textbackslash{}\%\\ +\hline +...298 & Sex Offenses - Sexual Assault With An Object & Anti-Lesbian (Female) & 5 & 10.00\textbackslash{}\%\\ +\hline +...299 & Sex Offenses - Sexual Assault With An Object & Anti-Transgender & 4 & 8.00\textbackslash{}\%\\ +\hline +...300 & Sex Offenses - Sexual Assault With An Object & All Other & 15 & 30\textbackslash{}\%\\ +\hline +...301 & Sex Offenses - Sexual Assault With An Object & Total & 50 & 100\textbackslash{}\%\\ +\hline +...302 & Sex Offenses - Sodomy & Anti-Gay (Male) & 27 & 31.40\textbackslash{}\%\\ +\hline +...303 & Sex Offenses - Sodomy & Anti-White & 11 & 12.79\textbackslash{}\%\\ +\hline +...304 & Sex Offenses - Sodomy & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 10 & 11.63\textbackslash{}\%\\ +\hline +...305 & Sex Offenses - Sodomy & Anti-Heterosexual & 8 & 9.30\textbackslash{}\%\\ +\hline +...306 & Sex Offenses - Sodomy & Anti-Transgender & 7 & 8.14\textbackslash{}\%\\ +\hline +...307 & Sex Offenses - Sodomy & All Other & 23 & 26.75\textbackslash{}\%\\ +\hline +...308 & Sex Offenses - Sodomy & Total & 86 & 100\textbackslash{}\%\\ +\hline +...309 & Sex Offenses - Statutory Rape & Anti-White & 7 & 31.82\textbackslash{}\%\\ +\hline +...310 & Sex Offenses - Statutory Rape & Anti-Gay (Male) & 2 & 9.09\textbackslash{}\%\\ +\hline +...311 & Sex Offenses - Statutory Rape & Anti-Black & 2 & 9.09\textbackslash{}\%\\ +\hline +...312 & Sex Offenses - Statutory Rape & Anti-Heterosexual & 2 & 9.09\textbackslash{}\%\\ +\hline +...313 & Sex Offenses - Statutory Rape & Anti-American Indian Or Native Alaskan & 2 & 9.09\textbackslash{}\%\\ +\hline +...314 & Sex Offenses - Statutory Rape & All Other & 7 & 31.85\textbackslash{}\%\\ +\hline +...315 & Sex Offenses - Statutory Rape & Total & 22 & 100\textbackslash{}\%\\ +\hline +...316 & Stolen Property Offenses (Receiving, Selling, Etc.) & Anti-White & 47 & 31.76\textbackslash{}\%\\ +\hline +...317 & Stolen Property Offenses (Receiving, Selling, Etc.) & Anti-American Indian Or Native Alaskan & 20 & 13.51\textbackslash{}\%\\ +\hline +...318 & Stolen Property Offenses (Receiving, Selling, Etc.) & Anti-Black & 17 & 11.49\textbackslash{}\%\\ +\hline +...319 & Stolen Property Offenses (Receiving, Selling, Etc.) & Anti-Sikh & 8 & 5.41\textbackslash{}\%\\ +\hline +...320 & Stolen Property Offenses (Receiving, Selling, Etc.) & Anti-Mental Disability & 6 & 4.05\textbackslash{}\%\\ +\hline +...321 & Stolen Property Offenses (Receiving, Selling, Etc.) & All Other & 50 & 33.79\textbackslash{}\%\\ +\hline +...322 & Stolen Property Offenses (Receiving, Selling, Etc.) & Total & 148 & 100\textbackslash{}\%\\ +\hline +...323 & Undocumented Code & Anti-White & 5 & 29.41\textbackslash{}\%\\ +\hline +...324 & Undocumented Code & Anti-Black & 4 & 23.53\textbackslash{}\%\\ +\hline +...325 & Undocumented Code & Anti-American Indian Or Native Alaskan & 3 & 17.65\textbackslash{}\%\\ +\hline +...326 & Undocumented Code & Anti-Catholic & 1 & 5.88\textbackslash{}\%\\ +\hline +...327 & Undocumented Code & Anti-Male & 1 & 5.88\textbackslash{}\%\\ +\hline +...328 & Undocumented Code & All Other & 3 & 17.64\textbackslash{}\%\\ +\hline +...329 & Undocumented Code & Total & 17 & 100\textbackslash{}\%\\ +\hline +...330 & Weapon Law Violations & Anti-Black & 179 & 35.73\textbackslash{}\%\\ +\hline +...331 & Weapon Law Violations & Anti-White & 98 & 19.56\textbackslash{}\%\\ +\hline +...332 & Weapon Law Violations & Anti-American Indian Or Native Alaskan & 26 & 5.19\textbackslash{}\%\\ +\hline +...333 & Weapon Law Violations & Anti-Hispanic Or Latino & 26 & 5.19\textbackslash{}\%\\ +\hline +...334 & Weapon Law Violations & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 20 & 3.99\textbackslash{}\%\\ +\hline +...335 & Weapon Law Violations & All Other & 152 & 30.38\textbackslash{}\%\\ +\hline +...336 & Weapon Law Violations & Total & 501 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -6990,2250 +3713,774 @@ This data is interesting because it includes the location - in categories for ty As with the crime and the bias motivation, the available locations have increased as time went on, though these newer locations are relatively uncommon. One important change in location is that starting in 2010 the location of "school/college" was split to have one location be for elementary and high schools and another location be for colleges and universities. The majority of hate crimes occur in the victim's home (30%), on a road or alley (19%), in an other or unknown location (13%), and in a parking lot or parking garage (6%). All other locations occur in fewer than 5% of hate crimes. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:hateLocations)The location of hate crime incidents. In incidents with multiple locations, this shows only the first location recorded.
Location First Year Reported # of Incidents % of Incidents
Total 252,094 100\%
Residence/Home 1991 73,887 29.31\%
Highway/Road/Alley/Street/Sidewalk 1991 47,006 18.65\%
Other/Unknown 1991 32,073 12.72\%
School/College 1991 17,679 7.01\%
Parking Lot/Drop Lot/Parking Garage 1991 14,389 5.71\%
Church/Synagogue/Temple/Mosque 1991 9,454 3.75\%
Commercial/Office Building 1991 5,673 2.25\%
Restaurant 1991 5,419 2.15\%
School - Elementary/Secondary 2010 4,899 1.94\%
Bar/Nightclub 1991 4,270 1.69\%
Government/Public Building 1991 3,785 1.50\%
Convenience Store 1991 3,531 1.40\%
Specialty Store (Tv, Fur, Etc.) 1991 2,926 1.16\%
Air/Bus/Train Terminal 1991 2,728 1.08\%
Service/Gas Station 1991 2,414 0.96\%
Park/Playground 2010 2,356 0.93\%
School - College/University 2010 2,351 0.93\%
Grocery/Supermarket 1991 2,325 0.92\%
Field/Woods 1991 2,241 0.89\%
Department/Discount Store 1991 2,159 0.86\%
Drug Store/Doctors Office/Hospital 1991 2,121 0.84\%
Jail/Prison/Penitentiary/Corrections Facility 1991 1,858 0.74\%
Hotel/Motel/Etc. 1991 1,738 0.69\%
Construction Site 1991 698 0.28\%
Bank/Savings And Loan 1991 596 0.24\%
Undocumented Code 2016 590 0.23\%
Liquor Store 1991 492 0.20\%
Lake/Waterway/Beach 1991 436 0.17\%
Shopping Mall 2010 325 0.13\%
Rental Storage Facility 1991 276 0.11\%
Community Center 2013 264 0.10\%
Shelter - Mission/Homeless 2011 202 0.08\%
Industrial Site 2010 155 0.06\%
Arena/Stadium/Fairgrounds/Coliseum 2011 106 0.04\%
Camp/Campground 2010 94 0.04\%
Auto Dealership New/Used 2011 92 0.04\%
Abandoned/Condemned Structure 2011 90 0.04\%
Gambling Facility/Casino/Race Track 2010 79 0.03\%
Rest Area 2011 68 0.03\%
Dock/Wharf/Freight/Modal Terminal 2012 55 0.02\%
Daycare Facility 2011 52 0.02\%
Amusement Park 2011 52 0.02\%
Farm Facility 2011 39 0.02\%
Tribal Lands 2011 27 0.01\%
Atm Separate From Bank 2011 18 0.01\%
Military Installation 2015 6 0.00\%
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:hatelocationOffense)The number and percent of offenses by location, 2023.
Location Offense \# of Incidents \% of Incidents
Abandoned/Condemned Structure Destruction/Damage/Vandalism of Property 51 56.67\%
Abandoned/Condemned Structure Assault Offenses - Intimidation 9 10.00\%
Abandoned/Condemned Structure Assault Offenses - Simple Assault 8 8.89\%
Abandoned/Condemned Structure Burglary/Breaking And Entering 6 6.67\%
Abandoned/Condemned Structure Assault Offenses - Aggravated Assault 4 4.44\%
Abandoned/Condemned Structure All Other 12 13.32\%
Abandoned/Condemned Structure Total 90 100\%
Air/Bus/Train Terminal Assault Offenses - Simple Assault 1,088 39.88\%
Air/Bus/Train Terminal Assault Offenses - Intimidation 588 21.55\%
Air/Bus/Train Terminal Assault Offenses - Aggravated Assault 458 16.79\%
Air/Bus/Train Terminal Destruction/Damage/Vandalism of Property 415 15.21\%
Air/Bus/Train Terminal Robbery 106 3.89\%
Air/Bus/Train Terminal All Other 73 2.7\%
Air/Bus/Train Terminal Total 2,728 100\%
Amusement Park Assault Offenses - Intimidation 16 30.77\%
Amusement Park Assault Offenses - Simple Assault 15 28.85\%
Amusement Park Destruction/Damage/Vandalism of Property 8 15.38\%
Amusement Park Assault Offenses - Aggravated Assault 6 11.54\%
Amusement Park Larceny/Theft Offenses - All Other Larceny 3 5.77\%
Amusement Park All Other 4 7.68\%
Amusement Park Total 52 100\%
Arena/Stadium/Fairgrounds/Coliseum Assault Offenses - Simple Assault 48 45.28\%
Arena/Stadium/Fairgrounds/Coliseum Assault Offenses - Intimidation 24 22.64\%
Arena/Stadium/Fairgrounds/Coliseum Destruction/Damage/Vandalism of Property 21 19.81\%
Arena/Stadium/Fairgrounds/Coliseum Assault Offenses - Aggravated Assault 8 7.55\%
Arena/Stadium/Fairgrounds/Coliseum Larceny/Theft Offenses - All Other Larceny 1 0.94\%
Arena/Stadium/Fairgrounds/Coliseum All Other 4 3.76\%
Arena/Stadium/Fairgrounds/Coliseum Total 106 100\%
Atm Separate From Bank Assault Offenses - Simple Assault 5 27.78\%
Atm Separate From Bank Assault Offenses - Intimidation 4 22.22\%
Atm Separate From Bank Larceny/Theft Offenses - All Other Larceny 2 11.11\%
Atm Separate From Bank Fraud Offenses - Credit Card/Atm Fraud 2 11.11\%
Atm Separate From Bank Fraud Offenses - False Pretenses/Swindle/Confidence Game 1 5.56\%
Atm Separate From Bank All Other 4 22.24\%
Atm Separate From Bank Total 18 100\%
Auto Dealership New/Used Assault Offenses - Intimidation 32 34.78\%
Auto Dealership New/Used Destruction/Damage/Vandalism of Property 13 14.13\%
Auto Dealership New/Used Assault Offenses - Simple Assault 12 13.04\%
Auto Dealership New/Used Larceny/Theft Offenses - All Other Larceny 8 8.70\%
Auto Dealership New/Used Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 6 6.52\%
Auto Dealership New/Used All Other 21 22.83\%
Auto Dealership New/Used Total 92 100\%
Bank/Savings And Loan Assault Offenses - Intimidation 191 32.05\%
Bank/Savings And Loan Destruction/Damage/Vandalism of Property 103 17.28\%
Bank/Savings And Loan Assault Offenses - Simple Assault 73 12.25\%
Bank/Savings And Loan Counterfeiting/Forgery 57 9.56\%
Bank/Savings And Loan Assault Offenses - Aggravated Assault 39 6.54\%
Bank/Savings And Loan All Other 133 22.32\%
Bank/Savings And Loan Total 596 100\%
Bar/Nightclub Assault Offenses - Simple Assault 1,968 46.09\%
Bar/Nightclub Assault Offenses - Aggravated Assault 1,021 23.91\%
Bar/Nightclub Assault Offenses - Intimidation 793 18.57\%
Bar/Nightclub Destruction/Damage/Vandalism of Property 285 6.67\%
Bar/Nightclub Robbery 64 1.50\%
Bar/Nightclub All Other 139 3.22\%
Bar/Nightclub Total 4,270 100\%
Camp/Campground Destruction/Damage/Vandalism of Property 28 29.79\%
Camp/Campground Assault Offenses - Simple Assault 20 21.28\%
Camp/Campground Assault Offenses - Intimidation 18 19.15\%
Camp/Campground Assault Offenses - Aggravated Assault 12 12.77\%
Camp/Campground Larceny/Theft Offenses - All Other Larceny 6 6.38\%
Camp/Campground All Other 10 10.61\%
Camp/Campground Total 94 100\%
Church/Synagogue/Temple/Mosque Destruction/Damage/Vandalism of Property 6,329 66.95\%
Church/Synagogue/Temple/Mosque Assault Offenses - Intimidation 1,820 19.25\%
Church/Synagogue/Temple/Mosque Burglary/Breaking And Entering 380 4.02\%
Church/Synagogue/Temple/Mosque Arson 337 3.56\%
Church/Synagogue/Temple/Mosque Assault Offenses - Simple Assault 251 2.65\%
Church/Synagogue/Temple/Mosque All Other 337 3.57\%
Church/Synagogue/Temple/Mosque Total 9,454 100\%
Commercial/Office Building Assault Offenses - Intimidation 2,416 42.59\%
Commercial/Office Building Destruction/Damage/Vandalism of Property 1,837 32.38\%
Commercial/Office Building Assault Offenses - Simple Assault 722 12.73\%
Commercial/Office Building Assault Offenses - Aggravated Assault 256 4.51\%
Commercial/Office Building Burglary/Breaking And Entering 121 2.13\%
Commercial/Office Building All Other 321 5.68\%
Commercial/Office Building Total 5,673 100\%
Community Center Assault Offenses - Intimidation 108 40.91\%
Community Center Destruction/Damage/Vandalism of Property 84 31.82\%
Community Center Assault Offenses - Simple Assault 44 16.67\%
Community Center Assault Offenses - Aggravated Assault 14 5.30\%
Community Center Burglary/Breaking And Entering 4 1.52\%
Community Center All Other 10 3.8\%
Community Center Total 264 100\%
Construction Site Destruction/Damage/Vandalism of Property 390 55.87\%
Construction Site Assault Offenses - Intimidation 109 15.62\%
Construction Site Assault Offenses - Simple Assault 57 8.17\%
Construction Site Burglary/Breaking And Entering 44 6.30\%
Construction Site Assault Offenses - Aggravated Assault 39 5.59\%
Construction Site All Other 59 8.45\%
Construction Site Total 698 100\%
Convenience Store Assault Offenses - Intimidation 1,193 33.79\%
Convenience Store Assault Offenses - Simple Assault 956 27.07\%
Convenience Store Assault Offenses - Aggravated Assault 501 14.19\%
Convenience Store Destruction/Damage/Vandalism of Property 397 11.24\%
Convenience Store Larceny/Theft Offenses - Shoplifting 114 3.23\%
Convenience Store All Other 370 10.48\%
Convenience Store Total 3,531 100\%
Daycare Facility Destruction/Damage/Vandalism of Property 18 34.62\%
Daycare Facility Assault Offenses - Intimidation 13 25.00\%
Daycare Facility Assault Offenses - Simple Assault 10 19.23\%
Daycare Facility Assault Offenses - Aggravated Assault 3 5.77\%
Daycare Facility Burglary/Breaking And Entering 3 5.77\%
Daycare Facility All Other 5 9.6\%
Daycare Facility Total 52 100\%
Department/Discount Store Assault Offenses - Intimidation 590 27.33\%
Department/Discount Store Assault Offenses - Simple Assault 487 22.56\%
Department/Discount Store Larceny/Theft Offenses - Shoplifting 320 14.82\%
Department/Discount Store Destruction/Damage/Vandalism of Property 279 12.92\%
Department/Discount Store Assault Offenses - Aggravated Assault 167 7.74\%
Department/Discount Store All Other 316 14.63\%
Department/Discount Store Total 2,159 100\%
Dock/Wharf/Freight/Modal Terminal Assault Offenses - Simple Assault 20 36.36\%
Dock/Wharf/Freight/Modal Terminal Destruction/Damage/Vandalism of Property 10 18.18\%
Dock/Wharf/Freight/Modal Terminal Assault Offenses - Intimidation 10 18.18\%
Dock/Wharf/Freight/Modal Terminal Assault Offenses - Aggravated Assault 7 12.73\%
Dock/Wharf/Freight/Modal Terminal Robbery 5 9.09\%
Dock/Wharf/Freight/Modal Terminal All Other 3 5.45\%
Dock/Wharf/Freight/Modal Terminal Total 55 100\%
Drug Store/Doctors Office/Hospital Assault Offenses - Intimidation 881 41.54\%
Drug Store/Doctors Office/Hospital Assault Offenses - Simple Assault 556 26.21\%
Drug Store/Doctors Office/Hospital Destruction/Damage/Vandalism of Property 399 18.81\%
Drug Store/Doctors Office/Hospital Assault Offenses - Aggravated Assault 147 6.93\%
Drug Store/Doctors Office/Hospital Larceny/Theft Offenses - Shoplifting 22 1.04\%
Drug Store/Doctors Office/Hospital All Other 116 5.46\%
Drug Store/Doctors Office/Hospital Total 2,121 100\%
Farm Facility Destruction/Damage/Vandalism of Property 9 23.08\%
Farm Facility Burglary/Breaking And Entering 7 17.95\%
Farm Facility Assault Offenses - Aggravated Assault 6 15.38\%
Farm Facility Assault Offenses - Simple Assault 5 12.82\%
Farm Facility Larceny/Theft Offenses - All Other Larceny 4 10.26\%
Farm Facility All Other 8 20.5\%
Farm Facility Total 39 100\%
Field/Woods Destruction/Damage/Vandalism of Property 667 29.76\%
Field/Woods Assault Offenses - Simple Assault 530 23.65\%
Field/Woods Assault Offenses - Aggravated Assault 447 19.95\%
Field/Woods Assault Offenses - Intimidation 302 13.48\%
Field/Woods Robbery 118 5.27\%
Field/Woods All Other 177 7.88\%
Field/Woods Total 2,241 100\%
Gambling Facility/Casino/Race Track Assault Offenses - Simple Assault 33 41.77\%
Gambling Facility/Casino/Race Track Assault Offenses - Intimidation 12 15.19\%
Gambling Facility/Casino/Race Track Larceny/Theft Offenses - All Other Larceny 8 10.13\%
Gambling Facility/Casino/Race Track Destruction/Damage/Vandalism of Property 8 10.13\%
Gambling Facility/Casino/Race Track Assault Offenses - Aggravated Assault 4 5.06\%
Gambling Facility/Casino/Race Track All Other 14 17.74\%
Gambling Facility/Casino/Race Track Total 79 100\%
Government/Public Building Destruction/Damage/Vandalism of Property 1,426 37.68\%
Government/Public Building Assault Offenses - Intimidation 1,383 36.54\%
Government/Public Building Assault Offenses - Simple Assault 581 15.35\%
Government/Public Building Assault Offenses - Aggravated Assault 195 5.15\%
Government/Public Building Larceny/Theft Offenses - All Other Larceny 36 0.95\%
Government/Public Building All Other 164 4.34\%
Government/Public Building Total 3,785 100\%
Grocery/Supermarket Assault Offenses - Intimidation 702 30.19\%
Grocery/Supermarket Assault Offenses - Simple Assault 619 26.62\%
Grocery/Supermarket Destruction/Damage/Vandalism of Property 329 14.15\%
Grocery/Supermarket Assault Offenses - Aggravated Assault 246 10.58\%
Grocery/Supermarket Larceny/Theft Offenses - Shoplifting 199 8.56\%
Grocery/Supermarket All Other 230 9.87\%
Grocery/Supermarket Total 2,325 100\%
Highway/Road/Alley/Street/Sidewalk Assault Offenses - Simple Assault 13,746 29.24\%
Highway/Road/Alley/Street/Sidewalk Assault Offenses - Aggravated Assault 10,788 22.95\%
Highway/Road/Alley/Street/Sidewalk Assault Offenses - Intimidation 10,312 21.94\%
Highway/Road/Alley/Street/Sidewalk Destruction/Damage/Vandalism of Property 7,701 16.38\%
Highway/Road/Alley/Street/Sidewalk Robbery 2,241 4.77\%
Highway/Road/Alley/Street/Sidewalk All Other 2,218 4.69\%
Highway/Road/Alley/Street/Sidewalk Total 47,006 100\%
Hotel/Motel/Etc. Assault Offenses - Intimidation 541 31.13\%
Hotel/Motel/Etc. Assault Offenses - Simple Assault 495 28.48\%
Hotel/Motel/Etc. Destruction/Damage/Vandalism of Property 256 14.73\%
Hotel/Motel/Etc. Assault Offenses - Aggravated Assault 242 13.92\%
Hotel/Motel/Etc. Robbery 31 1.78\%
Hotel/Motel/Etc. All Other 173 9.99\%
Hotel/Motel/Etc. Total 1,738 100\%
Industrial Site Assault Offenses - Intimidation 58 37.42\%
Industrial Site Destruction/Damage/Vandalism of Property 41 26.45\%
Industrial Site Assault Offenses - Simple Assault 18 11.61\%
Industrial Site Assault Offenses - Aggravated Assault 13 8.39\%
Industrial Site Larceny/Theft Offenses - All Other Larceny 9 5.81\%
Industrial Site All Other 16 10.35\%
Industrial Site Total 155 100\%
Jail/Prison/Penitentiary/Corrections Facility Assault Offenses - Simple Assault 978 52.64\%
Jail/Prison/Penitentiary/Corrections Facility Assault Offenses - Aggravated Assault 396 21.31\%
Jail/Prison/Penitentiary/Corrections Facility Assault Offenses - Intimidation 344 18.51\%
Jail/Prison/Penitentiary/Corrections Facility Destruction/Damage/Vandalism of Property 51 2.74\%
Jail/Prison/Penitentiary/Corrections Facility Drug/Narcotic Offenses - Drug/Narcotic Violations 23 1.24\%
Jail/Prison/Penitentiary/Corrections Facility All Other 66 3.52\%
Jail/Prison/Penitentiary/Corrections Facility Total 1,858 100\%
Lake/Waterway/Beach Assault Offenses - Simple Assault 136 31.19\%
Lake/Waterway/Beach Assault Offenses - Aggravated Assault 104 23.85\%
Lake/Waterway/Beach Destruction/Damage/Vandalism of Property 87 19.95\%
Lake/Waterway/Beach Assault Offenses - Intimidation 65 14.91\%
Lake/Waterway/Beach Robbery 17 3.90\%
Lake/Waterway/Beach All Other 27 6.21\%
Lake/Waterway/Beach Total 436 100\%
Liquor Store Assault Offenses - Intimidation 174 35.37\%
Liquor Store Assault Offenses - Simple Assault 112 22.76\%
Liquor Store Assault Offenses - Aggravated Assault 93 18.90\%
Liquor Store Destruction/Damage/Vandalism of Property 55 11.18\%
Liquor Store Robbery 17 3.46\%
Liquor Store All Other 41 8.33\%
Liquor Store Total 492 100\%
Military Installation Destruction/Damage/Vandalism of Property 2 33.33\%
Military Installation Larceny/Theft Offenses - All Other Larceny 1 16.67\%
Military Installation Human Trafficking - Involuntary Servitude 1 16.67\%
Military Installation Assault Offenses - Simple Assault 1 16.67\%
Military Installation Murder/Nonnegligent Manslaughter 1 16.67\%
Military Installation All Other NA NA\%
Military Installation Total 6 100\%
Other/Unknown Destruction/Damage/Vandalism of Property 11,530 35.95\%
Other/Unknown Assault Offenses - Intimidation 9,923 30.94\%
Other/Unknown Assault Offenses - Simple Assault 6,021 18.77\%
Other/Unknown Assault Offenses - Aggravated Assault 2,641 8.23\%
Other/Unknown Robbery 593 1.85\%
Other/Unknown All Other 1,365 4.27\%
Other/Unknown Total 32,073 100\%
Park/Playground Destruction/Damage/Vandalism of Property 1,193 50.64\%
Park/Playground Assault Offenses - Simple Assault 405 17.19\%
Park/Playground Assault Offenses - Intimidation 342 14.52\%
Park/Playground Assault Offenses - Aggravated Assault 282 11.97\%
Park/Playground Robbery 66 2.80\%
Park/Playground All Other 68 2.86\%
Park/Playground Total 2,356 100\%
Parking Lot/Drop Lot/Parking Garage Destruction/Damage/Vandalism of Property 4,392 30.52\%
Parking Lot/Drop Lot/Parking Garage Assault Offenses - Simple Assault 3,318 23.06\%
Parking Lot/Drop Lot/Parking Garage Assault Offenses - Intimidation 2,951 20.51\%
Parking Lot/Drop Lot/Parking Garage Assault Offenses - Aggravated Assault 2,392 16.62\%
Parking Lot/Drop Lot/Parking Garage Robbery 345 2.40\%
Parking Lot/Drop Lot/Parking Garage All Other 991 6.88\%
Parking Lot/Drop Lot/Parking Garage Total 14,389 100\%
Rental Storage Facility Destruction/Damage/Vandalism of Property 106 38.41\%
Rental Storage Facility Assault Offenses - Intimidation 45 16.30\%
Rental Storage Facility Burglary/Breaking And Entering 41 14.86\%
Rental Storage Facility Assault Offenses - Simple Assault 25 9.06\%
Rental Storage Facility Assault Offenses - Aggravated Assault 19 6.88\%
Rental Storage Facility All Other 40 14.47\%
Rental Storage Facility Total 276 100\%
Residence/Home Assault Offenses - Intimidation 27,096 36.67\%
Residence/Home Destruction/Damage/Vandalism of Property 23,877 32.32\%
Residence/Home Assault Offenses - Simple Assault 9,733 13.17\%
Residence/Home Assault Offenses - Aggravated Assault 5,264 7.12\%
Residence/Home Burglary/Breaking And Entering 2,470 3.34\%
Residence/Home All Other 5,447 7.36\%
Residence/Home Total 73,887 100\%
Rest Area Destruction/Damage/Vandalism of Property 40 58.82\%
Rest Area Assault Offenses - Simple Assault 11 16.18\%
Rest Area Assault Offenses - Intimidation 9 13.24\%
Rest Area Assault Offenses - Aggravated Assault 7 10.29\%
Rest Area Larceny/Theft Offenses - All Other Larceny 1 1.47\%
Rest Area All Other NA NA\%
Rest Area Total 68 100\%
Restaurant Assault Offenses - Intimidation 1,944 35.87\%
Restaurant Assault Offenses - Simple Assault 1,591 29.36\%
Restaurant Destruction/Damage/Vandalism of Property 937 17.29\%
Restaurant Assault Offenses - Aggravated Assault 641 11.83\%
Restaurant Robbery 58 1.07\%
Restaurant All Other 248 4.6\%
Restaurant Total 5,419 100\%
School - College/University Destruction/Damage/Vandalism of Property 1,238 52.66\%
School - College/University Assault Offenses - Intimidation 668 28.41\%
School - College/University Assault Offenses - Simple Assault 254 10.80\%
School - College/University Assault Offenses - Aggravated Assault 64 2.72\%
School - College/University Burglary/Breaking And Entering 29 1.23\%
School - College/University All Other 98 4.16\%
School - College/University Total 2,351 100\%
School - Elementary/Secondary Assault Offenses - Intimidation 1,814 37.03\%
School - Elementary/Secondary Destruction/Damage/Vandalism of Property 1,655 33.78\%
School - Elementary/Secondary Assault Offenses - Simple Assault 1,043 21.29\%
School - Elementary/Secondary Assault Offenses - Aggravated Assault 175 3.57\%
School - Elementary/Secondary Burglary/Breaking And Entering 44 0.90\%
School - Elementary/Secondary All Other 168 3.41\%
School - Elementary/Secondary Total 4,899 100\%
School/College Destruction/Damage/Vandalism of Property 7,964 45.05\%
School/College Assault Offenses - Intimidation 5,287 29.91\%
School/College Assault Offenses - Simple Assault 3,182 18.00\%
School/College Assault Offenses - Aggravated Assault 694 3.93\%
School/College Burglary/Breaking And Entering 134 0.76\%
School/College All Other 418 2.38\%
School/College Total 17,679 100\%
Service/Gas Station Assault Offenses - Intimidation 803 33.26\%
Service/Gas Station Assault Offenses - Simple Assault 610 25.27\%
Service/Gas Station Assault Offenses - Aggravated Assault 400 16.57\%
Service/Gas Station Destruction/Damage/Vandalism of Property 257 10.65\%
Service/Gas Station Larceny/Theft Offenses - All Other Larceny 106 4.39\%
Service/Gas Station All Other 238 9.85\%
Service/Gas Station Total 2,414 100\%
Shelter - Mission/Homeless Assault Offenses - Simple Assault 105 51.98\%
Shelter - Mission/Homeless Assault Offenses - Intimidation 50 24.75\%
Shelter - Mission/Homeless Assault Offenses - Aggravated Assault 31 15.35\%
Shelter - Mission/Homeless Destruction/Damage/Vandalism of Property 11 5.45\%
Shelter - Mission/Homeless Sex Offenses - Sodomy 1 0.50\%
Shelter - Mission/Homeless All Other 4 2\%
Shelter - Mission/Homeless Total 202 100\%
Shopping Mall Assault Offenses - Simple Assault 92 28.31\%
Shopping Mall Assault Offenses - Intimidation 88 27.08\%
Shopping Mall Destruction/Damage/Vandalism of Property 73 22.46\%
Shopping Mall Assault Offenses - Aggravated Assault 35 10.77\%
Shopping Mall Larceny/Theft Offenses - Shoplifting 16 4.92\%
Shopping Mall All Other 21 6.49\%
Shopping Mall Total 325 100\%
Specialty Store (Tv, Fur, Etc.) Assault Offenses - Intimidation 1,116 38.14\%
Specialty Store (Tv, Fur, Etc.) Destruction/Damage/Vandalism of Property 945 32.30\%
Specialty Store (Tv, Fur, Etc.) Assault Offenses - Simple Assault 419 14.32\%
Specialty Store (Tv, Fur, Etc.) Assault Offenses - Aggravated Assault 141 4.82\%
Specialty Store (Tv, Fur, Etc.) Larceny/Theft Offenses - Shoplifting 59 2.02\%
Specialty Store (Tv, Fur, Etc.) All Other 246 8.37\%
Specialty Store (Tv, Fur, Etc.) Total 2,926 100\%
Tribal Lands Assault Offenses - Intimidation 6 22.22\%
Tribal Lands Assault Offenses - Simple Assault 6 22.22\%
Tribal Lands Assault Offenses - Aggravated Assault 6 22.22\%
Tribal Lands Destruction/Damage/Vandalism of Property 5 18.52\%
Tribal Lands Undocumented Code 1 3.70\%
Tribal Lands All Other 3 11.1\%
Tribal Lands Total 27 100\%
Undocumented Code Assault Offenses - Intimidation 529 89.66\%
Undocumented Code Fraud Offenses - Other 16 2.71\%
Undocumented Code Pornography/Obscene Material 8 1.36\%
Undocumented Code Fraud Offenses - False Pretenses/Swindle/Confidence Game 8 1.36\%
Undocumented Code Extortion/Blackmail 7 1.19\%
Undocumented Code All Other 22 3.74\%
Undocumented Code Total 590 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:hateLocations)The location of hate crime incidents. In incidents with multiple locations, this shows only the first location recorded.}\\ +\hline +Location & First Year Reported & \# of Incidents & \% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:hateLocations)The location of hate crime incidents. In incidents with multiple locations, this shows only the first location recorded. \textit{(continued)}}\\ +\hline +Location & First Year Reported & \# of Incidents & \% of Incidents\\ +\hline +\endhead +Total & & 252,094 & 100\textbackslash{}\%\\ +\hline +Residence/Home & 1991 & 73,887 & 29.31\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & 1991 & 47,006 & 18.65\textbackslash{}\%\\ +\hline +Other/Unknown & 1991 & 32,073 & 12.72\textbackslash{}\%\\ +\hline +School/College & 1991 & 17,679 & 7.01\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & 1991 & 14,389 & 5.71\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & 1991 & 9,454 & 3.75\textbackslash{}\%\\ +\hline +Commercial/Office Building & 1991 & 5,673 & 2.25\textbackslash{}\%\\ +\hline +Restaurant & 1991 & 5,419 & 2.15\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & 2010 & 4,899 & 1.94\textbackslash{}\%\\ +\hline +Bar/Nightclub & 1991 & 4,270 & 1.69\textbackslash{}\%\\ +\hline +Government/Public Building & 1991 & 3,785 & 1.50\textbackslash{}\%\\ +\hline +Convenience Store & 1991 & 3,531 & 1.40\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & 1991 & 2,926 & 1.16\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & 1991 & 2,728 & 1.08\textbackslash{}\%\\ +\hline +Service/Gas Station & 1991 & 2,414 & 0.96\textbackslash{}\%\\ +\hline +Park/Playground & 2010 & 2,356 & 0.93\textbackslash{}\%\\ +\hline +School - College/University & 2010 & 2,351 & 0.93\textbackslash{}\%\\ +\hline +Grocery/Supermarket & 1991 & 2,325 & 0.92\textbackslash{}\%\\ +\hline +Field/Woods & 1991 & 2,241 & 0.89\textbackslash{}\%\\ +\hline +Department/Discount Store & 1991 & 2,159 & 0.86\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & 1991 & 2,121 & 0.84\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & 1991 & 1,858 & 0.74\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & 1991 & 1,738 & 0.69\textbackslash{}\%\\ +\hline +Construction Site & 1991 & 698 & 0.28\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & 1991 & 596 & 0.24\textbackslash{}\%\\ +\hline +Undocumented Code & 2016 & 590 & 0.23\textbackslash{}\%\\ +\hline +Liquor Store & 1991 & 492 & 0.20\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & 1991 & 436 & 0.17\textbackslash{}\%\\ +\hline +Shopping Mall & 2010 & 325 & 0.13\textbackslash{}\%\\ +\hline +Rental Storage Facility & 1991 & 276 & 0.11\textbackslash{}\%\\ +\hline +Community Center & 2013 & 264 & 0.10\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & 2011 & 202 & 0.08\textbackslash{}\%\\ +\hline +Industrial Site & 2010 & 155 & 0.06\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & 2011 & 106 & 0.04\textbackslash{}\%\\ +\hline +Camp/Campground & 2010 & 94 & 0.04\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & 2011 & 92 & 0.04\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & 2011 & 90 & 0.04\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & 2010 & 79 & 0.03\textbackslash{}\%\\ +\hline +Rest Area & 2011 & 68 & 0.03\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & 2012 & 55 & 0.02\textbackslash{}\%\\ +\hline +Daycare Facility & 2011 & 52 & 0.02\textbackslash{}\%\\ +\hline +Amusement Park & 2011 & 52 & 0.02\textbackslash{}\%\\ +\hline +Farm Facility & 2011 & 39 & 0.02\textbackslash{}\%\\ +\hline +Tribal Lands & 2011 & 27 & 0.01\textbackslash{}\%\\ +\hline +Atm Separate From Bank & 2011 & 18 & 0.01\textbackslash{}\%\\ +\hline +Military Installation & 2015 & 6 & 0.00\textbackslash{}\%\\ +\hline +\end{longtable} + + + + + +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:hatelocationOffense)The number and percent of offenses by location, 2023.}\\ +\hline +Location & Offense & \textbackslash{}\# of Incidents & \textbackslash{}\% of Incidents\\ +\hline +\endfirsthead +\caption[]{(\#tab:hatelocationOffense)The number and percent of offenses by location, 2023. \textit{(continued)}}\\ +\hline +Location & Offense & \textbackslash{}\# of Incidents & \textbackslash{}\% of Incidents\\ +\hline +\endhead +Abandoned/Condemned Structure & Destruction/Damage/Vandalism of Property & 51 & 56.67\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Assault Offenses - Intimidation & 9 & 10.00\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Assault Offenses - Simple Assault & 8 & 8.89\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Burglary/Breaking And Entering & 6 & 6.67\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Assault Offenses - Aggravated Assault & 4 & 4.44\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & All Other & 12 & 13.32\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Total & 90 & 100\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Assault Offenses - Simple Assault & 1,088 & 39.88\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Assault Offenses - Intimidation & 588 & 21.55\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Assault Offenses - Aggravated Assault & 458 & 16.79\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Destruction/Damage/Vandalism of Property & 415 & 15.21\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Robbery & 106 & 3.89\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & All Other & 73 & 2.7\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Total & 2,728 & 100\textbackslash{}\%\\ +\hline +Amusement Park & Assault Offenses - Intimidation & 16 & 30.77\textbackslash{}\%\\ +\hline +Amusement Park & Assault Offenses - Simple Assault & 15 & 28.85\textbackslash{}\%\\ +\hline +Amusement Park & Destruction/Damage/Vandalism of Property & 8 & 15.38\textbackslash{}\%\\ +\hline +Amusement Park & Assault Offenses - Aggravated Assault & 6 & 11.54\textbackslash{}\%\\ +\hline +Amusement Park & Larceny/Theft Offenses - All Other Larceny & 3 & 5.77\textbackslash{}\%\\ +\hline +Amusement Park & All Other & 4 & 7.68\textbackslash{}\%\\ +\hline +Amusement Park & Total & 52 & 100\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Assault Offenses - Simple Assault & 48 & 45.28\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Assault Offenses - Intimidation & 24 & 22.64\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Destruction/Damage/Vandalism of Property & 21 & 19.81\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Assault Offenses - Aggravated Assault & 8 & 7.55\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Larceny/Theft Offenses - All Other Larceny & 1 & 0.94\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & All Other & 4 & 3.76\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Total & 106 & 100\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Assault Offenses - Simple Assault & 5 & 27.78\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Assault Offenses - Intimidation & 4 & 22.22\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Larceny/Theft Offenses - All Other Larceny & 2 & 11.11\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Fraud Offenses - Credit Card/Atm Fraud & 2 & 11.11\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 1 & 5.56\textbackslash{}\%\\ +\hline +Atm Separate From Bank & All Other & 4 & 22.24\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Total & 18 & 100\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Assault Offenses - Intimidation & 32 & 34.78\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Destruction/Damage/Vandalism of Property & 13 & 14.13\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Assault Offenses - Simple Assault & 12 & 13.04\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Larceny/Theft Offenses - All Other Larceny & 8 & 8.70\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 6 & 6.52\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & All Other & 21 & 22.83\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Total & 92 & 100\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Assault Offenses - Intimidation & 191 & 32.05\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Destruction/Damage/Vandalism of Property & 103 & 17.28\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Assault Offenses - Simple Assault & 73 & 12.25\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Counterfeiting/Forgery & 57 & 9.56\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Assault Offenses - Aggravated Assault & 39 & 6.54\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & All Other & 133 & 22.32\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Total & 596 & 100\textbackslash{}\%\\ +\hline +Bar/Nightclub & Assault Offenses - Simple Assault & 1,968 & 46.09\textbackslash{}\%\\ +\hline +Bar/Nightclub & Assault Offenses - Aggravated Assault & 1,021 & 23.91\textbackslash{}\%\\ +\hline +Bar/Nightclub & Assault Offenses - Intimidation & 793 & 18.57\textbackslash{}\%\\ +\hline +Bar/Nightclub & Destruction/Damage/Vandalism of Property & 285 & 6.67\textbackslash{}\%\\ +\hline +Bar/Nightclub & Robbery & 64 & 1.50\textbackslash{}\%\\ +\hline +Bar/Nightclub & All Other & 139 & 3.22\textbackslash{}\%\\ +\hline +Bar/Nightclub & Total & 4,270 & 100\textbackslash{}\%\\ +\hline +Camp/Campground & Destruction/Damage/Vandalism of Property & 28 & 29.79\textbackslash{}\%\\ +\hline +Camp/Campground & Assault Offenses - Simple Assault & 20 & 21.28\textbackslash{}\%\\ +\hline +Camp/Campground & Assault Offenses - Intimidation & 18 & 19.15\textbackslash{}\%\\ +\hline +Camp/Campground & Assault Offenses - Aggravated Assault & 12 & 12.77\textbackslash{}\%\\ +\hline +Camp/Campground & Larceny/Theft Offenses - All Other Larceny & 6 & 6.38\textbackslash{}\%\\ +\hline +Camp/Campground & All Other & 10 & 10.61\textbackslash{}\%\\ +\hline +Camp/Campground & Total & 94 & 100\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Destruction/Damage/Vandalism of Property & 6,329 & 66.95\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Assault Offenses - Intimidation & 1,820 & 19.25\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Burglary/Breaking And Entering & 380 & 4.02\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Arson & 337 & 3.56\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Assault Offenses - Simple Assault & 251 & 2.65\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & All Other & 337 & 3.57\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Total & 9,454 & 100\textbackslash{}\%\\ +\hline +Commercial/Office Building & Assault Offenses - Intimidation & 2,416 & 42.59\textbackslash{}\%\\ +\hline +Commercial/Office Building & Destruction/Damage/Vandalism of Property & 1,837 & 32.38\textbackslash{}\%\\ +\hline +Commercial/Office Building & Assault Offenses - Simple Assault & 722 & 12.73\textbackslash{}\%\\ +\hline +Commercial/Office Building & Assault Offenses - Aggravated Assault & 256 & 4.51\textbackslash{}\%\\ +\hline +Commercial/Office Building & Burglary/Breaking And Entering & 121 & 2.13\textbackslash{}\%\\ +\hline +Commercial/Office Building & All Other & 321 & 5.68\textbackslash{}\%\\ +\hline +Commercial/Office Building & Total & 5,673 & 100\textbackslash{}\%\\ +\hline +Community Center & Assault Offenses - Intimidation & 108 & 40.91\textbackslash{}\%\\ +\hline +Community Center & Destruction/Damage/Vandalism of Property & 84 & 31.82\textbackslash{}\%\\ +\hline +Community Center & Assault Offenses - Simple Assault & 44 & 16.67\textbackslash{}\%\\ +\hline +Community Center & Assault Offenses - Aggravated Assault & 14 & 5.30\textbackslash{}\%\\ +\hline +Community Center & Burglary/Breaking And Entering & 4 & 1.52\textbackslash{}\%\\ +\hline +Community Center & All Other & 10 & 3.8\textbackslash{}\%\\ +\hline +Community Center & Total & 264 & 100\textbackslash{}\%\\ +\hline +Construction Site & Destruction/Damage/Vandalism of Property & 390 & 55.87\textbackslash{}\%\\ +\hline +Construction Site & Assault Offenses - Intimidation & 109 & 15.62\textbackslash{}\%\\ +\hline +Construction Site & Assault Offenses - Simple Assault & 57 & 8.17\textbackslash{}\%\\ +\hline +Construction Site & Burglary/Breaking And Entering & 44 & 6.30\textbackslash{}\%\\ +\hline +Construction Site & Assault Offenses - Aggravated Assault & 39 & 5.59\textbackslash{}\%\\ +\hline +Construction Site & All Other & 59 & 8.45\textbackslash{}\%\\ +\hline +Construction Site & Total & 698 & 100\textbackslash{}\%\\ +\hline +Convenience Store & Assault Offenses - Intimidation & 1,193 & 33.79\textbackslash{}\%\\ +\hline +Convenience Store & Assault Offenses - Simple Assault & 956 & 27.07\textbackslash{}\%\\ +\hline +Convenience Store & Assault Offenses - Aggravated Assault & 501 & 14.19\textbackslash{}\%\\ +\hline +Convenience Store & Destruction/Damage/Vandalism of Property & 397 & 11.24\textbackslash{}\%\\ +\hline +Convenience Store & Larceny/Theft Offenses - Shoplifting & 114 & 3.23\textbackslash{}\%\\ +\hline +Convenience Store & All Other & 370 & 10.48\textbackslash{}\%\\ +\hline +Convenience Store & Total & 3,531 & 100\textbackslash{}\%\\ +\hline +Daycare Facility & Destruction/Damage/Vandalism of Property & 18 & 34.62\textbackslash{}\%\\ +\hline +Daycare Facility & Assault Offenses - Intimidation & 13 & 25.00\textbackslash{}\%\\ +\hline +Daycare Facility & Assault Offenses - Simple Assault & 10 & 19.23\textbackslash{}\%\\ +\hline +Daycare Facility & Assault Offenses - Aggravated Assault & 3 & 5.77\textbackslash{}\%\\ +\hline +Daycare Facility & Burglary/Breaking And Entering & 3 & 5.77\textbackslash{}\%\\ +\hline +Daycare Facility & All Other & 5 & 9.6\textbackslash{}\%\\ +\hline +Daycare Facility & Total & 52 & 100\textbackslash{}\%\\ +\hline +Department/Discount Store & Assault Offenses - Intimidation & 590 & 27.33\textbackslash{}\%\\ +\hline +Department/Discount Store & Assault Offenses - Simple Assault & 487 & 22.56\textbackslash{}\%\\ +\hline +Department/Discount Store & Larceny/Theft Offenses - Shoplifting & 320 & 14.82\textbackslash{}\%\\ +\hline +Department/Discount Store & Destruction/Damage/Vandalism of Property & 279 & 12.92\textbackslash{}\%\\ +\hline +Department/Discount Store & Assault Offenses - Aggravated Assault & 167 & 7.74\textbackslash{}\%\\ +\hline +Department/Discount Store & All Other & 316 & 14.63\textbackslash{}\%\\ +\hline +Department/Discount Store & Total & 2,159 & 100\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Assault Offenses - Simple Assault & 20 & 36.36\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Destruction/Damage/Vandalism of Property & 10 & 18.18\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Assault Offenses - Intimidation & 10 & 18.18\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Assault Offenses - Aggravated Assault & 7 & 12.73\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Robbery & 5 & 9.09\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & All Other & 3 & 5.45\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Total & 55 & 100\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Assault Offenses - Intimidation & 881 & 41.54\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Assault Offenses - Simple Assault & 556 & 26.21\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Destruction/Damage/Vandalism of Property & 399 & 18.81\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Assault Offenses - Aggravated Assault & 147 & 6.93\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Larceny/Theft Offenses - Shoplifting & 22 & 1.04\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & All Other & 116 & 5.46\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Total & 2,121 & 100\textbackslash{}\%\\ +\hline +Farm Facility & Destruction/Damage/Vandalism of Property & 9 & 23.08\textbackslash{}\%\\ +\hline +Farm Facility & Burglary/Breaking And Entering & 7 & 17.95\textbackslash{}\%\\ +\hline +Farm Facility & Assault Offenses - Aggravated Assault & 6 & 15.38\textbackslash{}\%\\ +\hline +Farm Facility & Assault Offenses - Simple Assault & 5 & 12.82\textbackslash{}\%\\ +\hline +Farm Facility & Larceny/Theft Offenses - All Other Larceny & 4 & 10.26\textbackslash{}\%\\ +\hline +Farm Facility & All Other & 8 & 20.5\textbackslash{}\%\\ +\hline +Farm Facility & Total & 39 & 100\textbackslash{}\%\\ +\hline +Field/Woods & Destruction/Damage/Vandalism of Property & 667 & 29.76\textbackslash{}\%\\ +\hline +Field/Woods & Assault Offenses - Simple Assault & 530 & 23.65\textbackslash{}\%\\ +\hline +Field/Woods & Assault Offenses - Aggravated Assault & 447 & 19.95\textbackslash{}\%\\ +\hline +Field/Woods & Assault Offenses - Intimidation & 302 & 13.48\textbackslash{}\%\\ +\hline +Field/Woods & Robbery & 118 & 5.27\textbackslash{}\%\\ +\hline +Field/Woods & All Other & 177 & 7.88\textbackslash{}\%\\ +\hline +Field/Woods & Total & 2,241 & 100\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Assault Offenses - Simple Assault & 33 & 41.77\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Assault Offenses - Intimidation & 12 & 15.19\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Larceny/Theft Offenses - All Other Larceny & 8 & 10.13\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Destruction/Damage/Vandalism of Property & 8 & 10.13\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Assault Offenses - Aggravated Assault & 4 & 5.06\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & All Other & 14 & 17.74\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Total & 79 & 100\textbackslash{}\%\\ +\hline +Government/Public Building & Destruction/Damage/Vandalism of Property & 1,426 & 37.68\textbackslash{}\%\\ +\hline +Government/Public Building & Assault Offenses - Intimidation & 1,383 & 36.54\textbackslash{}\%\\ +\hline +Government/Public Building & Assault Offenses - Simple Assault & 581 & 15.35\textbackslash{}\%\\ +\hline +Government/Public Building & Assault Offenses - Aggravated Assault & 195 & 5.15\textbackslash{}\%\\ +\hline +Government/Public Building & Larceny/Theft Offenses - All Other Larceny & 36 & 0.95\textbackslash{}\%\\ +\hline +Government/Public Building & All Other & 164 & 4.34\textbackslash{}\%\\ +\hline +Government/Public Building & Total & 3,785 & 100\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Assault Offenses - Intimidation & 702 & 30.19\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Assault Offenses - Simple Assault & 619 & 26.62\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Destruction/Damage/Vandalism of Property & 329 & 14.15\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Assault Offenses - Aggravated Assault & 246 & 10.58\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Larceny/Theft Offenses - Shoplifting & 199 & 8.56\textbackslash{}\%\\ +\hline +Grocery/Supermarket & All Other & 230 & 9.87\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Total & 2,325 & 100\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Assault Offenses - Simple Assault & 13,746 & 29.24\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Assault Offenses - Aggravated Assault & 10,788 & 22.95\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Assault Offenses - Intimidation & 10,312 & 21.94\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Destruction/Damage/Vandalism of Property & 7,701 & 16.38\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Robbery & 2,241 & 4.77\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & All Other & 2,218 & 4.69\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Total & 47,006 & 100\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Assault Offenses - Intimidation & 541 & 31.13\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Assault Offenses - Simple Assault & 495 & 28.48\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Destruction/Damage/Vandalism of Property & 256 & 14.73\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Assault Offenses - Aggravated Assault & 242 & 13.92\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Robbery & 31 & 1.78\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & All Other & 173 & 9.99\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Total & 1,738 & 100\textbackslash{}\%\\ +\hline +Industrial Site & Assault Offenses - Intimidation & 58 & 37.42\textbackslash{}\%\\ +\hline +Industrial Site & Destruction/Damage/Vandalism of Property & 41 & 26.45\textbackslash{}\%\\ +\hline +Industrial Site & Assault Offenses - Simple Assault & 18 & 11.61\textbackslash{}\%\\ +\hline +Industrial Site & Assault Offenses - Aggravated Assault & 13 & 8.39\textbackslash{}\%\\ +\hline +Industrial Site & Larceny/Theft Offenses - All Other Larceny & 9 & 5.81\textbackslash{}\%\\ +\hline +Industrial Site & All Other & 16 & 10.35\textbackslash{}\%\\ +\hline +Industrial Site & Total & 155 & 100\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Assault Offenses - Simple Assault & 978 & 52.64\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Assault Offenses - Aggravated Assault & 396 & 21.31\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Assault Offenses - Intimidation & 344 & 18.51\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Destruction/Damage/Vandalism of Property & 51 & 2.74\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Drug/Narcotic Offenses - Drug/Narcotic Violations & 23 & 1.24\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & All Other & 66 & 3.52\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Total & 1,858 & 100\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Assault Offenses - Simple Assault & 136 & 31.19\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Assault Offenses - Aggravated Assault & 104 & 23.85\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Destruction/Damage/Vandalism of Property & 87 & 19.95\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Assault Offenses - Intimidation & 65 & 14.91\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Robbery & 17 & 3.90\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & All Other & 27 & 6.21\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Total & 436 & 100\textbackslash{}\%\\ +\hline +Liquor Store & Assault Offenses - Intimidation & 174 & 35.37\textbackslash{}\%\\ +\hline +Liquor Store & Assault Offenses - Simple Assault & 112 & 22.76\textbackslash{}\%\\ +\hline +Liquor Store & Assault Offenses - Aggravated Assault & 93 & 18.90\textbackslash{}\%\\ +\hline +Liquor Store & Destruction/Damage/Vandalism of Property & 55 & 11.18\textbackslash{}\%\\ +\hline +Liquor Store & Robbery & 17 & 3.46\textbackslash{}\%\\ +\hline +Liquor Store & All Other & 41 & 8.33\textbackslash{}\%\\ +\hline +Liquor Store & Total & 492 & 100\textbackslash{}\%\\ +\hline +Military Installation & Destruction/Damage/Vandalism of Property & 2 & 33.33\textbackslash{}\%\\ +\hline +Military Installation & Larceny/Theft Offenses - All Other Larceny & 1 & 16.67\textbackslash{}\%\\ +\hline +Military Installation & Human Trafficking - Involuntary Servitude & 1 & 16.67\textbackslash{}\%\\ +\hline +Military Installation & Assault Offenses - Simple Assault & 1 & 16.67\textbackslash{}\%\\ +\hline +Military Installation & Murder/Nonnegligent Manslaughter & 1 & 16.67\textbackslash{}\%\\ +\hline +Military Installation & All Other & NA & NA\textbackslash{}\%\\ +\hline +Military Installation & Total & 6 & 100\textbackslash{}\%\\ +\hline +Other/Unknown & Destruction/Damage/Vandalism of Property & 11,530 & 35.95\textbackslash{}\%\\ +\hline +Other/Unknown & Assault Offenses - Intimidation & 9,923 & 30.94\textbackslash{}\%\\ +\hline +Other/Unknown & Assault Offenses - Simple Assault & 6,021 & 18.77\textbackslash{}\%\\ +\hline +Other/Unknown & Assault Offenses - Aggravated Assault & 2,641 & 8.23\textbackslash{}\%\\ +\hline +Other/Unknown & Robbery & 593 & 1.85\textbackslash{}\%\\ +\hline +Other/Unknown & All Other & 1,365 & 4.27\textbackslash{}\%\\ +\hline +Other/Unknown & Total & 32,073 & 100\textbackslash{}\%\\ +\hline +Park/Playground & Destruction/Damage/Vandalism of Property & 1,193 & 50.64\textbackslash{}\%\\ +\hline +Park/Playground & Assault Offenses - Simple Assault & 405 & 17.19\textbackslash{}\%\\ +\hline +Park/Playground & Assault Offenses - Intimidation & 342 & 14.52\textbackslash{}\%\\ +\hline +Park/Playground & Assault Offenses - Aggravated Assault & 282 & 11.97\textbackslash{}\%\\ +\hline +Park/Playground & Robbery & 66 & 2.80\textbackslash{}\%\\ +\hline +Park/Playground & All Other & 68 & 2.86\textbackslash{}\%\\ +\hline +Park/Playground & Total & 2,356 & 100\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Destruction/Damage/Vandalism of Property & 4,392 & 30.52\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Assault Offenses - Simple Assault & 3,318 & 23.06\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Assault Offenses - Intimidation & 2,951 & 20.51\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Assault Offenses - Aggravated Assault & 2,392 & 16.62\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Robbery & 345 & 2.40\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & All Other & 991 & 6.88\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Total & 14,389 & 100\textbackslash{}\%\\ +\hline +Rental Storage Facility & Destruction/Damage/Vandalism of Property & 106 & 38.41\textbackslash{}\%\\ +\hline +Rental Storage Facility & Assault Offenses - Intimidation & 45 & 16.30\textbackslash{}\%\\ +\hline +Rental Storage Facility & Burglary/Breaking And Entering & 41 & 14.86\textbackslash{}\%\\ +\hline +Rental Storage Facility & Assault Offenses - Simple Assault & 25 & 9.06\textbackslash{}\%\\ +\hline +Rental Storage Facility & Assault Offenses - Aggravated Assault & 19 & 6.88\textbackslash{}\%\\ +\hline +Rental Storage Facility & All Other & 40 & 14.47\textbackslash{}\%\\ +\hline +Rental Storage Facility & Total & 276 & 100\textbackslash{}\%\\ +\hline +Residence/Home & Assault Offenses - Intimidation & 27,096 & 36.67\textbackslash{}\%\\ +\hline +Residence/Home & Destruction/Damage/Vandalism of Property & 23,877 & 32.32\textbackslash{}\%\\ +\hline +Residence/Home & Assault Offenses - Simple Assault & 9,733 & 13.17\textbackslash{}\%\\ +\hline +Residence/Home & Assault Offenses - Aggravated Assault & 5,264 & 7.12\textbackslash{}\%\\ +\hline +Residence/Home & Burglary/Breaking And Entering & 2,470 & 3.34\textbackslash{}\%\\ +\hline +Residence/Home & All Other & 5,447 & 7.36\textbackslash{}\%\\ +\hline +Residence/Home & Total & 73,887 & 100\textbackslash{}\%\\ +\hline +Rest Area & Destruction/Damage/Vandalism of Property & 40 & 58.82\textbackslash{}\%\\ +\hline +Rest Area & Assault Offenses - Simple Assault & 11 & 16.18\textbackslash{}\%\\ +\hline +Rest Area & Assault Offenses - Intimidation & 9 & 13.24\textbackslash{}\%\\ +\hline +Rest Area & Assault Offenses - Aggravated Assault & 7 & 10.29\textbackslash{}\%\\ +\hline +Rest Area & Larceny/Theft Offenses - All Other Larceny & 1 & 1.47\textbackslash{}\%\\ +\hline +Rest Area & All Other & NA & NA\textbackslash{}\%\\ +\hline +Rest Area & Total & 68 & 100\textbackslash{}\%\\ +\hline +Restaurant & Assault Offenses - Intimidation & 1,944 & 35.87\textbackslash{}\%\\ +\hline +Restaurant & Assault Offenses - Simple Assault & 1,591 & 29.36\textbackslash{}\%\\ +\hline +Restaurant & Destruction/Damage/Vandalism of Property & 937 & 17.29\textbackslash{}\%\\ +\hline +Restaurant & Assault Offenses - Aggravated Assault & 641 & 11.83\textbackslash{}\%\\ +\hline +Restaurant & Robbery & 58 & 1.07\textbackslash{}\%\\ +\hline +Restaurant & All Other & 248 & 4.6\textbackslash{}\%\\ +\hline +Restaurant & Total & 5,419 & 100\textbackslash{}\%\\ +\hline +School - College/University & Destruction/Damage/Vandalism of Property & 1,238 & 52.66\textbackslash{}\%\\ +\hline +School - College/University & Assault Offenses - Intimidation & 668 & 28.41\textbackslash{}\%\\ +\hline +School - College/University & Assault Offenses - Simple Assault & 254 & 10.80\textbackslash{}\%\\ +\hline +School - College/University & Assault Offenses - Aggravated Assault & 64 & 2.72\textbackslash{}\%\\ +\hline +School - College/University & Burglary/Breaking And Entering & 29 & 1.23\textbackslash{}\%\\ +\hline +School - College/University & All Other & 98 & 4.16\textbackslash{}\%\\ +\hline +School - College/University & Total & 2,351 & 100\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Assault Offenses - Intimidation & 1,814 & 37.03\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Destruction/Damage/Vandalism of Property & 1,655 & 33.78\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Assault Offenses - Simple Assault & 1,043 & 21.29\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Assault Offenses - Aggravated Assault & 175 & 3.57\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Burglary/Breaking And Entering & 44 & 0.90\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & All Other & 168 & 3.41\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Total & 4,899 & 100\textbackslash{}\%\\ +\hline +School/College & Destruction/Damage/Vandalism of Property & 7,964 & 45.05\textbackslash{}\%\\ +\hline +School/College & Assault Offenses - Intimidation & 5,287 & 29.91\textbackslash{}\%\\ +\hline +School/College & Assault Offenses - Simple Assault & 3,182 & 18.00\textbackslash{}\%\\ +\hline +School/College & Assault Offenses - Aggravated Assault & 694 & 3.93\textbackslash{}\%\\ +\hline +School/College & Burglary/Breaking And Entering & 134 & 0.76\textbackslash{}\%\\ +\hline +School/College & All Other & 418 & 2.38\textbackslash{}\%\\ +\hline +School/College & Total & 17,679 & 100\textbackslash{}\%\\ +\hline +Service/Gas Station & Assault Offenses - Intimidation & 803 & 33.26\textbackslash{}\%\\ +\hline +Service/Gas Station & Assault Offenses - Simple Assault & 610 & 25.27\textbackslash{}\%\\ +\hline +Service/Gas Station & Assault Offenses - Aggravated Assault & 400 & 16.57\textbackslash{}\%\\ +\hline +Service/Gas Station & Destruction/Damage/Vandalism of Property & 257 & 10.65\textbackslash{}\%\\ +\hline +Service/Gas Station & Larceny/Theft Offenses - All Other Larceny & 106 & 4.39\textbackslash{}\%\\ +\hline +Service/Gas Station & All Other & 238 & 9.85\textbackslash{}\%\\ +\hline +Service/Gas Station & Total & 2,414 & 100\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Assault Offenses - Simple Assault & 105 & 51.98\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Assault Offenses - Intimidation & 50 & 24.75\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Assault Offenses - Aggravated Assault & 31 & 15.35\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Destruction/Damage/Vandalism of Property & 11 & 5.45\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Sex Offenses - Sodomy & 1 & 0.50\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & All Other & 4 & 2\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Total & 202 & 100\textbackslash{}\%\\ +\hline +Shopping Mall & Assault Offenses - Simple Assault & 92 & 28.31\textbackslash{}\%\\ +\hline +Shopping Mall & Assault Offenses - Intimidation & 88 & 27.08\textbackslash{}\%\\ +\hline +Shopping Mall & Destruction/Damage/Vandalism of Property & 73 & 22.46\textbackslash{}\%\\ +\hline +Shopping Mall & Assault Offenses - Aggravated Assault & 35 & 10.77\textbackslash{}\%\\ +\hline +Shopping Mall & Larceny/Theft Offenses - Shoplifting & 16 & 4.92\textbackslash{}\%\\ +\hline +Shopping Mall & All Other & 21 & 6.49\textbackslash{}\%\\ +\hline +Shopping Mall & Total & 325 & 100\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Assault Offenses - Intimidation & 1,116 & 38.14\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Destruction/Damage/Vandalism of Property & 945 & 32.30\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Assault Offenses - Simple Assault & 419 & 14.32\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Assault Offenses - Aggravated Assault & 141 & 4.82\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Larceny/Theft Offenses - Shoplifting & 59 & 2.02\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & All Other & 246 & 8.37\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Total & 2,926 & 100\textbackslash{}\%\\ +\hline +Tribal Lands & Assault Offenses - Intimidation & 6 & 22.22\textbackslash{}\%\\ +\hline +Tribal Lands & Assault Offenses - Simple Assault & 6 & 22.22\textbackslash{}\%\\ +\hline +Tribal Lands & Assault Offenses - Aggravated Assault & 6 & 22.22\textbackslash{}\%\\ +\hline +Tribal Lands & Destruction/Damage/Vandalism of Property & 5 & 18.52\textbackslash{}\%\\ +\hline +Tribal Lands & Undocumented Code & 1 & 3.70\textbackslash{}\%\\ +\hline +Tribal Lands & All Other & 3 & 11.1\textbackslash{}\%\\ +\hline +Tribal Lands & Total & 27 & 100\textbackslash{}\%\\ +\hline +Undocumented Code & Assault Offenses - Intimidation & 529 & 89.66\textbackslash{}\%\\ +\hline +Undocumented Code & Fraud Offenses - Other & 16 & 2.71\textbackslash{}\%\\ +\hline +Undocumented Code & Pornography/Obscene Material & 8 & 1.36\textbackslash{}\%\\ +\hline +Undocumented Code & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 8 & 1.36\textbackslash{}\%\\ +\hline +Undocumented Code & Extortion/Blackmail & 7 & 1.19\textbackslash{}\%\\ +\hline +Undocumented Code & All Other & 22 & 3.74\textbackslash{}\%\\ +\hline +Undocumented Code & Total & 590 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -9244,17 +4491,25 @@ There are two variables that have information about the people who commit the ha As shown in Figure \@ref(fig:hateCrimeOffenderNumber), the most common racial group is "unknown" since the police do not know the race of the offenders. Next are White offenders at nearly 40% of hate crimes followed by Black offenders at nearly 13% of hate crimes. The remaining racial groups are rare with about 2% of hate crimes being committed by a multi-racial group of offenders and 0.8 % of hate crimes committed by Asian or Pacific Islander offenders and 0.6 % committed by American Indian or Native Alaskan offenders. Only 0.05% of offenders are Native Hawaiian or Other Pacific Islander. -
-The race of offenders, as a group, for hate crime incidents, 1991-2023. -

(\#fig:hateCrimeOffenderRace)The race of offenders, as a group, for hate crime incidents, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimeOffenderRace-1} + +} + +\caption{The race of offenders, as a group, for hate crime incidents, 1991-2023.}(\#fig:hateCrimeOffenderRace) +\end{figure} When the police do not have any information about the number of offenders (which is common in cases of property crimes such as vandalism but rare in violent crimes), this data considers that to have zero offenders. The zero is just a placeholder that means that the police do not know how many offenders there are, not that they think there were actually no offenders. Figure \@ref(fig:hateCrimeOffenderNumber) shows the percent of hate crimes from 1991-2023 that have each number of offenders recorded. In the actual data it says the actual number of offenders, with the largest group in the current data going to 99 offenders - in this graph I group 10 or more offenders together for simplicity. I also relabel zero offenders as "Unknown" offenders since that is more accurate. The most common number of offenders per hate crime is one offender, at about 49% of hate crimes from 1991-2023 having only one offender. This drops sharply to 9% of hate crimes having two offenders and continues to drop as the number of offenders increase. However, about a third (36%) of hate crimes have an unknown number of offenders. -
-The race of offenders, as a group, for hate crime incidents, 1991-2023. -

(\#fig:hateCrimeOffenderNumber)The race of offenders, as a group, for hate crime incidents, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/hateCrimeOffenderNumber-1} + +} + +\caption{The race of offenders, as a group, for hate crime incidents, 1991-2023.}(\#fig:hateCrimeOffenderNumber) +\end{figure} ### Number of victims @@ -9270,15 +4525,23 @@ Nonetheless, this is a book about the data. So let us look at one final variable While this variable is available in the data, I actually think it is best not to use it. I think there is always a danger in being overly precise and, therefore, overly confident about what the data shows. When you use the number of incidents you implicitly allow for each incident to affect multiple people^[One of the points of hate crimes is to cause fear in more than just the direct victim of the crime.] and readers understand that. But if you use this variable and say that "this is the number of victims of this crime" you are implicitly closing that door and therefore being too confident about how many victims of a crime there is. This is especially true for readers who are not paying close attention - such as academics reviewing papers or New York Times reporters - since they may think you are measuring the number of victims in a better way than you actually are. -
-The annual number of anti-Jewish hate crime incidents and victims in the United States, 1991-2023. -

(\#fig:jewishIncidentVictim)The annual number of anti-Jewish hate crime incidents and victims in the United States, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/jewishIncidentVictim-1} + +} + +\caption{The annual number of anti-Jewish hate crime incidents and victims in the United States, 1991-2023.}(\#fig:jewishIncidentVictim) +\end{figure} + +\begin{figure} -
-The annual number of anti-Black hate crime incidents and victims in the United States, 1991-2023. -

(\#fig:blackIncidentVictim)The annual number of anti-Black hate crime incidents and victims in the United States, 1991-2023.

-
+{\centering \includegraphics[width=1\linewidth,height=1\textheight]{09_hate_crime_files/figure-latex/blackIncidentVictim-1} + +} + +\caption{The annual number of anti-Black hate crime incidents and victims in the United States, 1991-2023.}(\#fig:blackIncidentVictim) +\end{figure} @@ -9323,130 +4586,98 @@ The table shows what percent of agencies that reported data had data for each po Ultimately the measures are quite similar though systematically overcount reporting using the 1st method. Both show that about 27% of agencies reported zero months. The 1st method has about 69% of agencies reporting 12 months while the 2nd method has 66%, a difference of about 5% which is potentially a sizable difference depending on exactly which agencies are missing. The remaining nearly 4% of agencies all have far more people in the 2nd method than in the first, which is because in the 1st method those agencies are recorded as having 12 months since they reported in December but not actually all 12 months of the year. There are huge percent increases in moving from the 1st to 2nd method for 1-11 months reported though this is due to having very few agencies report this many months. Most months have only about 50 agencies in the 1st method and about 70 in the 2nd, so the actual difference is not that large. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyMonthsReportedDefinitions)The number of months reported to the 2016 Offenses Known and Clearances by Arrest data using two definitions of months reported. The 'Last Month' definition is the preferred measure of months reported by both the FBI and researchers, though this overcounts months.
Months Reported Last Month Definition Months Not Missing Definition Percent Difference
0 4,360 (22.55%) 4,364 (22.57%) +0.09
1 29 (0.15%) 79 (0.41%) +172.41
2 34 (0.18%) 69 (0.36%) +102.94
3 42 (0.22%) 65 (0.34%) +54.76
4 29 (0.15%) 43 (0.22%) +48.28
5 28 (0.14%) 66 (0.34%) +135.71
6 39 (0.2%) 64 (0.33%) +64.10
7 30 (0.16%) 54 (0.28%) +80.00
8 45 (0.23%) 68 (0.35%) +51.11
9 47 (0.24%) 88 (0.46%) +87.23
10 70 (0.36%) 115 (0.59%) +64.29
11 129 (0.67%) 241 (1.25%) +86.82
12 14,451 (74.75%) 14,017 (72.5%) -3.00
+ +\begin{longtable}[t]{l|r|r|r} +\caption{(\#tab:countyMonthsReportedDefinitions)The number of months reported to the 2016 Offenses Known and Clearances by Arrest data using two definitions of months reported. The 'Last Month' definition is the preferred measure of months reported by both the FBI and researchers, though this overcounts months.}\\ +\hline +Months Reported & Last Month Definition & Months Not Missing Definition & Percent Difference\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyMonthsReportedDefinitions)The number of months reported to the 2016 Offenses Known and Clearances by Arrest data using two definitions of months reported. The 'Last Month' definition is the preferred measure of months reported by both the FBI and researchers, though this overcounts months. \textit{(continued)}}\\ +\hline +Months Reported & Last Month Definition & Months Not Missing Definition & Percent Difference\\ +\hline +\endhead +0 & 4,360 (22.55\%) & 4,364 (22.57\%) & +0.09\\ +\hline +1 & 29 (0.15\%) & 79 (0.41\%) & +172.41\\ +\hline +2 & 34 (0.18\%) & 69 (0.36\%) & +102.94\\ +\hline +3 & 42 (0.22\%) & 65 (0.34\%) & +54.76\\ +\hline +4 & 29 (0.15\%) & 43 (0.22\%) & +48.28\\ +\hline +5 & 28 (0.14\%) & 66 (0.34\%) & +135.71\\ +\hline +6 & 39 (0.2\%) & 64 (0.33\%) & +64.10\\ +\hline +7 & 30 (0.16\%) & 54 (0.28\%) & +80.00\\ +\hline +8 & 45 (0.23\%) & 68 (0.35\%) & +51.11\\ +\hline +9 & 47 (0.24\%) & 88 (0.46\%) & +87.23\\ +\hline +10 & 70 (0.36\%) & 115 (0.59\%) & +64.29\\ +\hline +11 & 129 (0.67\%) & 241 (1.25\%) & +86.82\\ +\hline +12 & 14,451 (74.75\%) & 14,017 (72.5\%) & -3.00\\ +\hline +\end{longtable} We can look at how these trends change over time in Figure \@ref(fig:countyAnyMonthReported) that shows the annual number of agencies that reported at least one month of data in that year. Both measures have the exact same trend with the last month reported measure always being a bit higher than the number of months missing method, at least until the data change in 2018 that renders my method unreliable. -
-The annual number of agencies that reported data in that year. -

(\#fig:countyAnyMonthReported)The annual number of agencies that reported data in that year.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{10_ucr_county_files/figure-latex/countyAnyMonthReported-1} + +} + +\caption{The annual number of agencies that reported data in that year.}(\#fig:countyAnyMonthReported) +\end{figure} For the remainder of this chapter we will treat the last month reported variable as our measure of how many months an agency reports data. I believe that pre-2018 this is not as good a measure at the number of months missing, but it has the benefit of consistency post-2017. So keep in mind that the true number of agencies reporting fewer than 12 months of data is a bit larger than what it seems when using this measure. -
-The share of the population in each state covered by an agency reporting 12 months of data based on their last month reported being December, 2023. -

(\#fig:stateMap2022)The share of the population in each state covered by an agency reporting 12 months of data based on their last month reported being December, 2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{10_ucr_county_files/figure-latex/stateMap2022-1} + +} + +\caption{The share of the population in each state covered by an agency reporting 12 months of data based on their last month reported being December, 2023.}(\#fig:stateMap2022) +\end{figure} + + +\begin{figure} +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{10_ucr_county_files/figure-latex/countyMap2022-1} -
-The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2023. -

(\#fig:countyMap2022)The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2023.

-
+} + +\caption{The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2023.}(\#fig:countyMap2022) +\end{figure} + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{10_ucr_county_files/figure-latex/countyMap2010-1} + +} +\caption{The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2010.}(\#fig:countyMap2010) +\end{figure} -
-The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2010. -

(\#fig:countyMap2010)The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2010.

-
+\begin{figure} -
-The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2000. -

(\#fig:countyMap2000)The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2000.

-
+{\centering \includegraphics[width=1\linewidth,height=1\textheight]{10_ucr_county_files/figure-latex/countyMap2000-1} + +} + +\caption{The share of the population in each county covered by an agency reporting 12 months of data based on their last month reported being December, 2000.}(\#fig:countyMap2000) +\end{figure} ## Current imputation practices @@ -9458,10 +4689,14 @@ When an agency reports 3-11 months, those months of data are multiplied by 12/nu Finally, for agencies that reported all 12 months there is nothing missing so it just uses the data as it is. -
-The imputation procedure for missing data based on the number of months missing. -

(\#fig:countyImputation)The imputation procedure for missing data based on the number of months missing.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{images/segments_flowchart} + +} + +\caption{The imputation procedure for missing data based on the number of months missing.}(\#fig:countyImputation) +\end{figure} ### 1-9 months missing @@ -9473,310 +4708,127 @@ Starting with Table \@ref(tab:CountyPhillyMurders), we will see the change in th If each month had the same number of crimes we would expect each month to account for 8.33% of the year's total. That is not what we are seeing in Philadelphia for murders as the percentages range from 5.13% in both January and April to 12.25% in December. This means that replacing these months will not give us an accurate count of crimes as crime is not distributed evenly across months. Indeed, as seen in column 5, on average, the annual sum of murders when imputing a single month is 1.85% off from the real value. When imputing the worst (as far as its effect on results) months you can report murder as either 4.27% lower than it is or 3.5% higher than it is. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:CountyPhillyMurders)The imputed number of murders in Philadelphia in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing.
Month Murders That Month Actual Annual Murders Imputed Annual Murders Percent Change
January 46 (8.95%) 514 511 -0.58
February 38 (7.39%) 514 519 +0.97
March 40 (7.78%) 514 517 +0.58
April 34 (6.61%) 514 524 +1.95
May 56 (10.89%) 514 500 -2.72
June 52 (10.12%) 514 504 -1.95
July 55 (10.70%) 514 501 -2.53
August 46 (8.95%) 514 511 -0.58
September 40 (7.78%) 514 517 +0.58
October 42 (8.17%) 514 515 +0.19
November 25 (4.86%) 514 533 +3.70
December 40 (7.78%) 514 517 +0.58
+ +\begin{longtable}[t]{l|r|r|r|r} +\caption{(\#tab:CountyPhillyMurders)The imputed number of murders in Philadelphia in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing.}\\ +\hline +Month & Murders That Month & Actual Annual Murders & Imputed Annual Murders & Percent Change\\ +\hline +\endfirsthead +\caption[]{(\#tab:CountyPhillyMurders)The imputed number of murders in Philadelphia in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing. \textit{(continued)}}\\ +\hline +Month & Murders That Month & Actual Annual Murders & Imputed Annual Murders & Percent Change\\ +\hline +\endhead +January & 46 (8.95\%) & 514 & 511 & -0.58\\ +\hline +February & 38 (7.39\%) & 514 & 519 & +0.97\\ +\hline +March & 40 (7.78\%) & 514 & 517 & +0.58\\ +\hline +April & 34 (6.61\%) & 514 & 524 & +1.95\\ +\hline +May & 56 (10.89\%) & 514 & 500 & -2.72\\ +\hline +June & 52 (10.12\%) & 514 & 504 & -1.95\\ +\hline +July & 55 (10.70\%) & 514 & 501 & -2.53\\ +\hline +August & 46 (8.95\%) & 514 & 511 & -0.58\\ +\hline +September & 40 (7.78\%) & 514 & 517 & +0.58\\ +\hline +October & 42 (8.17\%) & 514 & 515 & +0.19\\ +\hline +November & 25 (4.86\%) & 514 & 533 & +3.70\\ +\hline +December & 40 (7.78\%) & 514 & 517 & +0.58\\ +\hline +\end{longtable} Part of the reason for the percent difference for murders when replacing a month found above is that there was high variation in the number of murders per month with some months having more than double the number as other months. We will look at what happens when crimes are far more evenly distributed across months in Table \@ref(tab:countyPhillyThefts). This table replicates Table \@ref(tab:CountyPhillyMurders) but uses thefts in Philadelphia in 2022 instead of murders. Here the monthly share of thefts ranged only from 6.85% to 9.16% so month-to-month variation is not very large. Now the percent change never increases above an absolute value of 1.62 and changes by an average of 0.77%. In cases like this, the imputation method is less of a problem. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyPhillyThefts)The imputed number of thefts in Philadelphia in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing.
Month Thefts That Month Actual Annual Thefts Imputed Annual Thefts Percent Change
January 3,080 (6.41%) 48,067 49,077 +2.10
February 2,929 (6.09%) 48,067 49,241 +2.44
March 3,546 (7.38%) 48,067 48,568 +1.04
April 3,619 (7.53%) 48,067 48,489 +0.88
May 4,063 (8.45%) 48,067 48,004 -0.13
June 4,425 (9.21%) 48,067 47,609 -0.95
July 4,566 (9.50%) 48,067 47,456 -1.27
August 4,798 (9.98%) 48,067 47,203 -1.80
September 4,477 (9.31%) 48,067 47,553 -1.07
October 4,618 (9.61%) 48,067 47,399 -1.39
November 4,022 (8.37%) 48,067 48,049 -0.04
December 3,924 (8.16%) 48,067 48,156 +0.19
+ +\begin{longtable}[t]{l|r|r|r|r} +\caption{(\#tab:countyPhillyThefts)The imputed number of thefts in Philadelphia in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing.}\\ +\hline +Month & Thefts That Month & Actual Annual Thefts & Imputed Annual Thefts & Percent Change\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyPhillyThefts)The imputed number of thefts in Philadelphia in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing. \textit{(continued)}}\\ +\hline +Month & Thefts That Month & Actual Annual Thefts & Imputed Annual Thefts & Percent Change\\ +\hline +\endhead +January & 3,080 (6.41\%) & 48,067 & 49,077 & +2.10\\ +\hline +February & 2,929 (6.09\%) & 48,067 & 49,241 & +2.44\\ +\hline +March & 3,546 (7.38\%) & 48,067 & 48,568 & +1.04\\ +\hline +April & 3,619 (7.53\%) & 48,067 & 48,489 & +0.88\\ +\hline +May & 4,063 (8.45\%) & 48,067 & 48,004 & -0.13\\ +\hline +June & 4,425 (9.21\%) & 48,067 & 47,609 & -0.95\\ +\hline +July & 4,566 (9.50\%) & 48,067 & 47,456 & -1.27\\ +\hline +August & 4,798 (9.98\%) & 48,067 & 47,203 & -1.80\\ +\hline +September & 4,477 (9.31\%) & 48,067 & 47,553 & -1.07\\ +\hline +October & 4,618 (9.61\%) & 48,067 & 47,399 & -1.39\\ +\hline +November & 4,022 (8.37\%) & 48,067 & 48,049 & -0.04\\ +\hline +December & 3,924 (8.16\%) & 48,067 & 48,156 & +0.19\\ +\hline +\end{longtable} Given that the imputation method is largely dependent on consistency across months, what happens when crime is very rare? Table \@ref(tab:countyDanvilleVehicle) shows what happens when replacing a single month for motor vehicle thefts in Danville, California, a small town which had 22 of these thefts in 2022. While possible to still have an even distribution of crimes over months, this is less likely when it comes to rare events. Here, having so few motor vehicle thefts means that small changes in monthly crimes can have an outsize effect. The average absolute value percent change now is 7.3% and this ranges from a -15.68% difference to a +9.1% difference from the real annual count. This means that having even a single month missing can vastly overcount or undercount the real values. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyDanvilleVehicle)The imputed number of motor vehicle thefts in Danville, California, in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing.
Month Vehicle Thefts That Month Actual Annual Vehicle Thefts Imputed Annual Vehicle Thefts Percent Change
January 2 (7.41%) 27 27 +0.00
February 2 (7.41%) 27 27 +0.00
March 1 (3.70%) 27 28 +3.70
April 4 (14.81%) 27 25 -7.41
May 6 (22.22%) 27 23 -14.81
June 0 (0.00%) 27 29 +7.41
July 2 (7.41%) 27 27 +0.00
August 1 (3.70%) 27 28 +3.70
September 1 (3.70%) 27 28 +3.70
October 3 (11.11%) 27 26 -3.70
November 3 (11.11%) 27 26 -3.70
December 2 (7.41%) 27 27 +0.00
+ +\begin{longtable}[t]{l|r|r|r|r} +\caption{(\#tab:countyDanvilleVehicle)The imputed number of motor vehicle thefts in Danville, California, in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing.}\\ +\hline +Month & Vehicle Thefts That Month & Actual Annual Vehicle Thefts & Imputed Annual Vehicle Thefts & Percent Change\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyDanvilleVehicle)The imputed number of motor vehicle thefts in Danville, California, in 2022 when missing a single month. This shows how different the imputed value is to the real value for each month missing. \textit{(continued)}}\\ +\hline +Month & Vehicle Thefts That Month & Actual Annual Vehicle Thefts & Imputed Annual Vehicle Thefts & Percent Change\\ +\hline +\endhead +January & 2 (7.41\%) & 27 & 27 & +0.00\\ +\hline +February & 2 (7.41\%) & 27 & 27 & +0.00\\ +\hline +March & 1 (3.70\%) & 27 & 28 & +3.70\\ +\hline +April & 4 (14.81\%) & 27 & 25 & -7.41\\ +\hline +May & 6 (22.22\%) & 27 & 23 & -14.81\\ +\hline +June & 0 (0.00\%) & 27 & 29 & +7.41\\ +\hline +July & 2 (7.41\%) & 27 & 27 & +0.00\\ +\hline +August & 1 (3.70\%) & 27 & 28 & +3.70\\ +\hline +September & 1 (3.70\%) & 27 & 28 & +3.70\\ +\hline +October & 3 (11.11\%) & 27 & 26 & -3.70\\ +\hline +November & 3 (11.11\%) & 27 & 26 & -3.70\\ +\hline +December & 2 (7.41\%) & 27 & 27 & +0.00\\ +\hline +\end{longtable} @@ -9788,266 +4840,113 @@ For each number of months reported the table shows the actual annual murder (whi As might be expected, as the number of months missing increases the quality of the imputation decreases. The minimum is further and further below the actual value while the maximum is further and further above the actual value. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyPhillyMurderMonthsMissing)A simulation showing how the imputed values of murders in Philadelphia in 2022 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run removing and imputing those months of data.
# of Months Missing Mean Imputed Value Median Imputed Value Minimum Imputed Value Maximum Imputed Value
No Missing Data 514.00 514.00 514.00 514.00
1 month 514.08 517.09 499.64 533.45
2 514.12 513.60 483.60 546.00
3 513.81 513.33 468.00 556.00
4 514.15 513.00 457.50 565.50
5 513.95 514.29 444.00 577.71
6 514.05 514.00 434.00 594.00
7 514.45 513.60 424.80 612.00
8 513.85 516.00 411.00 627.00
9 513.02 512.00 388.00 652.00
+ +\begin{longtable}[t]{l|r|r|r|r} +\caption{(\#tab:countyPhillyMurderMonthsMissing)A simulation showing how the imputed values of murders in Philadelphia in 2022 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run removing and imputing those months of data.}\\ +\hline +\# of Months Missing & Mean Imputed Value & Median Imputed Value & Minimum Imputed Value & Maximum Imputed Value\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyPhillyMurderMonthsMissing)A simulation showing how the imputed values of murders in Philadelphia in 2022 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run removing and imputing those months of data. \textit{(continued)}}\\ +\hline +\# of Months Missing & Mean Imputed Value & Median Imputed Value & Minimum Imputed Value & Maximum Imputed Value\\ +\hline +\endhead +No Missing Data & 514.00 & 514.00 & 514.00 & 514.00\\ +\hline +1 month & 514.08 & 517.09 & 499.64 & 533.45\\ +\hline +2 & 514.12 & 513.60 & 483.60 & 546.00\\ +\hline +3 & 513.81 & 513.33 & 468.00 & 556.00\\ +\hline +4 & 514.15 & 513.00 & 457.50 & 565.50\\ +\hline +5 & 513.95 & 514.29 & 444.00 & 577.71\\ +\hline +6 & 514.05 & 514.00 & 434.00 & 594.00\\ +\hline +7 & 514.45 & 513.60 & 424.80 & 612.00\\ +\hline +8 & 513.85 & 516.00 & 411.00 & 627.00\\ +\hline +9 & 513.02 & 512.00 & 388.00 & 652.00\\ +\hline +\end{longtable} This problem is even more pronounced when looking at agencies with fewer crimes and less evenly distributed crimes. Table \@ref(tab:countyDanvilleBurglaryMonthsMissing) repeats the above table but now looks at motor vehicle thefts in Danville, California. By the time 5 months are missing, the minimum value is nearly half of the actual value while the maximum value is a little under 50% larger than the actual value. By 9 months missing, possible imputed values range from 0% of the actual value to over twice as large as the actual value. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyDanvilleBurglaryMonthsMissing)A simulation showing how the imputed values of motor vehicle thefts in Danville, California, in 2022 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run for removing and imputing those months of data.
# of Months Missing Mean Imputed Value Median Imputed Value Minimum Imputed Value Maximum Imputed Value
No Missing Data 27.00 27.00 27.00 27.00
1 month 26.99 27.27 22.91 29.45
2 27.01 27.60 20.40 31.20
3 26.98 28.00 18.67 33.33
4 26.96 27.00 16.50 36.00
5 26.89 27.43 15.43 37.71
6 26.94 26.00 14.00 40.00
7 26.96 26.40 12.00 43.20
8 27.01 27.00 9.00 48.00
9 26.93 24.00 8.00 52.00
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyMurderMonthsMissing)A simulation showing how the imputed values of murder in Danville, California, in 2019 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run for removing and imputing those months of data.
# of Months Missing Mean Imputed Value Median Imputed Value Minimum Imputed Value Maximum Imputed Value
No Missing Data 1.00 1.00 1 1.00
1 month 1.00 1.09 0 1.09
2 1.00 1.20 0 1.20
3 1.01 1.33 0 1.33
4 1.01 1.50 0 1.50
5 1.01 1.71 0 1.71
6 1.01 2.00 0 2.00
7 1.00 0.00 0 2.40
8 1.01 0.00 0 3.00
9 1.01 0.00 0 4.00
+ +\begin{longtable}[t]{l|r|r|r|r} +\caption{(\#tab:countyDanvilleBurglaryMonthsMissing)A simulation showing how the imputed values of motor vehicle thefts in Danville, California, in 2022 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run for removing and imputing those months of data.}\\ +\hline +\# of Months Missing & Mean Imputed Value & Median Imputed Value & Minimum Imputed Value & Maximum Imputed Value\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyDanvilleBurglaryMonthsMissing)A simulation showing how the imputed values of motor vehicle thefts in Danville, California, in 2022 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run for removing and imputing those months of data. \textit{(continued)}}\\ +\hline +\# of Months Missing & Mean Imputed Value & Median Imputed Value & Minimum Imputed Value & Maximum Imputed Value\\ +\hline +\endhead +No Missing Data & 27.00 & 27.00 & 27.00 & 27.00\\ +\hline +1 month & 26.99 & 27.27 & 22.91 & 29.45\\ +\hline +2 & 27.01 & 27.60 & 20.40 & 31.20\\ +\hline +3 & 26.98 & 28.00 & 18.67 & 33.33\\ +\hline +4 & 26.96 & 27.00 & 16.50 & 36.00\\ +\hline +5 & 26.89 & 27.43 & 15.43 & 37.71\\ +\hline +6 & 26.94 & 26.00 & 14.00 & 40.00\\ +\hline +7 & 26.96 & 26.40 & 12.00 & 43.20\\ +\hline +8 & 27.01 & 27.00 & 9.00 & 48.00\\ +\hline +9 & 26.93 & 24.00 & 8.00 & 52.00\\ +\hline +\end{longtable} + + + + +\begin{longtable}[t]{l|r|r|r|r} +\caption{(\#tab:countyMurderMonthsMissing)A simulation showing how the imputed values of murder in Danville, California, in 2019 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run for removing and imputing those months of data.}\\ +\hline +\# of Months Missing & Mean Imputed Value & Median Imputed Value & Minimum Imputed Value & Maximum Imputed Value\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyMurderMonthsMissing)A simulation showing how the imputed values of murder in Danville, California, in 2019 changes as the number of months to impute changes. For each number of months missing (and thus, imputed) 10,000 simulations are run for removing and imputing those months of data. \textit{(continued)}}\\ +\hline +\# of Months Missing & Mean Imputed Value & Median Imputed Value & Minimum Imputed Value & Maximum Imputed Value\\ +\hline +\endhead +No Missing Data & 1.00 & 1.00 & 1 & 1.00\\ +\hline +1 month & 1.00 & 1.09 & 0 & 1.09\\ +\hline +2 & 1.00 & 1.20 & 0 & 1.20\\ +\hline +3 & 1.01 & 1.33 & 0 & 1.33\\ +\hline +4 & 1.01 & 1.50 & 0 & 1.50\\ +\hline +5 & 1.01 & 1.71 & 0 & 1.71\\ +\hline +6 & 1.01 & 2.00 & 0 & 2.00\\ +\hline +7 & 1.00 & 0.00 & 0 & 2.40\\ +\hline +8 & 1.01 & 0.00 & 0 & 3.00\\ +\hline +9 & 1.01 & 0.00 & 0 & 4.00\\ +\hline +\end{longtable} @@ -10073,367 +4972,143 @@ Table \@ref(tab:countyPopulationGroupStatsNational) shows these values for all a [^ucr_county-11]: The agency-level UCR data actually has more population groups than this list, but NACJD has grouped some together. Given that some states may have few (or no) agencies in a population group, combining more groups together does alleviate the problem of having no comparison cities but at the tradeoff of making the comparison less similar to the given agency. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyPopulationGroupStatsNational)The mean, median, minimum, and maximum agency-level murder count nationwide for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.
Population Group Mean Murder Median Murder 90th Percentile Murder Minimum Murder Max Murder
City Under 2,500 0 0 0 0 10
City 2,500-9,999 0 0 1 0 9
City 10,000-24,999 0 0 2 0 14
City 25,000-49,999 1 0 4 0 31
City 50,000-99,999 2 1 7 0 47
City 100,000-249,999 9 6 23 0 122
City 250,000+ 86 40 237 2 499
MSA Counties and MSA State Police 1 0 4 0 122
Non-MSA Counties and Non-MSA State Police 0 0 1 0 46
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyPopulationGroupStats)The mean, median, minimum, 90th percentile, and maximum agency-level murder count nationwide for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.
Population Group Mean Murder Median Murder 90th Percentile Murder Minimum Murder Max Murder
City Under 2,500 0 0 0 0 10
City 2,500-9,999 0 0 1 0 9
City 10,000-24,999 0 0 2 0 14
City 25,000-49,999 1 0 4 0 31
City 50,000-99,999 2 1 7 0 47
City 100,000-249,999 9 6 23 0 122
City 250,000+ 86 40 237 2 499
MSA Counties and MSA State Police 1 0 4 0 122
Non-MSA Counties and Non-MSA State Police 0 0 1 0 46
+ +\begin{longtable}[t]{l|r|r|r|r|l} +\caption{(\#tab:countyPopulationGroupStatsNational)The mean, median, minimum, and maximum agency-level murder count nationwide for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyPopulationGroupStatsNational)The mean, median, minimum, and maximum agency-level murder count nationwide for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December. \textit{(continued)}}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endhead +City Under 2,500 & 0 & 0 & 0 & 0 & 10\\ +\hline +City 2,500-9,999 & 0 & 0 & 1 & 0 & 9\\ +\hline +City 10,000-24,999 & 0 & 0 & 2 & 0 & 14\\ +\hline +City 25,000-49,999 & 1 & 0 & 4 & 0 & 31\\ +\hline +City 50,000-99,999 & 2 & 1 & 7 & 0 & 47\\ +\hline +City 100,000-249,999 & 9 & 6 & 23 & 0 & 122\\ +\hline +City 250,000+ & 86 & 40 & 237 & 2 & 499\\ +\hline +MSA Counties and MSA State Police & 1 & 0 & 4 & 0 & 122\\ +\hline +Non-MSA Counties and Non-MSA State Police & 0 & 0 & 1 & 0 & 46\\ +\hline +\end{longtable} + + + + +\begin{longtable}[t]{l|r|r|r|r|l} +\caption{(\#tab:countyPopulationGroupStats)The mean, median, minimum, 90th percentile, and maximum agency-level murder count nationwide for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyPopulationGroupStats)The mean, median, minimum, 90th percentile, and maximum agency-level murder count nationwide for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December. \textit{(continued)}}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endhead +City Under 2,500 & 0 & 0 & 0 & 0 & 10\\ +\hline +City 2,500-9,999 & 0 & 0 & 1 & 0 & 9\\ +\hline +City 10,000-24,999 & 0 & 0 & 2 & 0 & 14\\ +\hline +City 25,000-49,999 & 1 & 0 & 4 & 0 & 31\\ +\hline +City 50,000-99,999 & 2 & 1 & 7 & 0 & 47\\ +\hline +City 100,000-249,999 & 9 & 6 & 23 & 0 & 122\\ +\hline +City 250,000+ & 86 & 40 & 237 & 2 & 499\\ +\hline +MSA Counties and MSA State Police & 1 & 0 & 4 & 0 & 122\\ +\hline +Non-MSA Counties and Non-MSA State Police & 0 & 0 & 1 & 0 & 46\\ +\hline +\end{longtable} Since the actual imputation process looks only at agencies in the same state, we will look at two example states - Texas and Maine - and see how trends differ from nationally. These states are chosen as Texas is a very large (both in population and in number of jurisdictions) state with some areas of high crime while Maine is a small, more rural state with very low crime. Table \@ref(tab:countyPopulationGroupStatsTexas) shows results in Texas. Here, the findings are very similar to that of Table \@ref(tab:countyPopulationGroupStatsNational). While the numbers are different, and the maximum value is substantially smaller than using all agencies in the country, the basic findings of a wide range of values - especially at larger population groups - is the same. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyPopulationGroupStatsTexas)The mean, median, minimum, 90th percentile, and maximum agency-level murder count in Texas for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.
Population Group Mean Murder Median Murder 90th Percentile Murder Minimum Murder Max Murder
City Under 2,500 0 0 0 0 1
City 2,500-9,999 0 0 1 0 4
City 10,000-24,999 0 0 2 0 4
City 25,000-49,999 1 1 4 0 7
City 50,000-99,999 2 1 6 0 9
City 100,000-249,999 6 6 12 0 17
City 250,000+ 84 27 234 3 343
MSA Counties and MSA State Police 1 0 3 0 121
Non-MSA Counties and Non-MSA State Police 0 0 1 0 9
+ +\begin{longtable}[t]{l|r|r|r|r|l} +\caption{(\#tab:countyPopulationGroupStatsTexas)The mean, median, minimum, 90th percentile, and maximum agency-level murder count in Texas for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyPopulationGroupStatsTexas)The mean, median, minimum, 90th percentile, and maximum agency-level murder count in Texas for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December. \textit{(continued)}}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endhead +City Under 2,500 & 0 & 0 & 0 & 0 & 1\\ +\hline +City 2,500-9,999 & 0 & 0 & 1 & 0 & 4\\ +\hline +City 10,000-24,999 & 0 & 0 & 2 & 0 & 4\\ +\hline +City 25,000-49,999 & 1 & 1 & 4 & 0 & 7\\ +\hline +City 50,000-99,999 & 2 & 1 & 6 & 0 & 9\\ +\hline +City 100,000-249,999 & 6 & 6 & 12 & 0 & 17\\ +\hline +City 250,000+ & 84 & 27 & 234 & 3 & 343\\ +\hline +MSA Counties and MSA State Police & 1 & 0 & 3 & 0 & 121\\ +\hline +Non-MSA Counties and Non-MSA State Police & 0 & 0 & 1 & 0 & 9\\ +\hline +\end{longtable} Now we will look at data from Maine, as shown in Table \@ref(tab:countyPopulationGroupStatsMaine). Here, results are much better: there is a narrow range in values meaning that the imputation would be very similar to the real values. This is driven mainly by Maine being a tiny state, with only one city larger than 50,000 people (Portland) and Maine being an extremely safe state so most places have zero murders+gun-assaults. In cases like this, where both crime and population size are consistent across the state (which is generally caused by everywhere having low crime), this imputation process can work well. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:countyPopulationGroupStatsMaine)The mean, median, minimum, 90th percentile, and maximum agency-level murder count in Maine for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.
Population Group Mean Murder Median Murder 90th Percentile Murder Minimum Murder Max Murder
City Under 2,500 0 0 0 0 1
City 2,500-9,999 0 0 1 0 2
City 10,000-24,999 0 0 1 0 3
City 25,000-49,999 7 1 16 0 20
City 50,000-99,999 2 2 2 2 2
City 100,000-249,999 - - - - -
City 250,000+ - - - - -
MSA Counties and MSA State Police 0 0 0 0 0
Non-MSA Counties and Non-MSA State Police 1 0 0 0 18
+ +\begin{longtable}[t]{l|r|r|r|r|r} +\caption{(\#tab:countyPopulationGroupStatsMaine)The mean, median, minimum, 90th percentile, and maximum agency-level murder count in Maine for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December.}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endfirsthead +\caption[]{(\#tab:countyPopulationGroupStatsMaine)The mean, median, minimum, 90th percentile, and maximum agency-level murder count in Maine for all population groups in the 2022 Offenses Known and Clearances by Arrests data, based on agencies reporting their last month of data was in December. \textit{(continued)}}\\ +\hline +Population Group & Mean Murder & Median Murder & 90th Percentile Murder & Minimum Murder & Max Murder\\ +\hline +\endhead +City Under 2,500 & 0 & 0 & 0 & 0 & 1\\ +\hline +City 2,500-9,999 & 0 & 0 & 1 & 0 & 2\\ +\hline +City 10,000-24,999 & 0 & 0 & 1 & 0 & 3\\ +\hline +City 25,000-49,999 & 7 & 1 & 16 & 0 & 20\\ +\hline +City 50,000-99,999 & 2 & 2 & 2 & 2 & 2\\ +\hline +City 100,000-249,999 & - & - & - & - & -\\ +\hline +City 250,000+ & - & - & - & - & -\\ +\hline +MSA Counties and MSA State Police & 0 & 0 & 0 & 0 & 0\\ +\hline +Non-MSA Counties and Non-MSA State Police & 1 & 0 & 0 & 0 & 18\\ +\hline +\end{longtable} @@ -10454,10 +5129,14 @@ NIBRS data provides detailed information on every crime reported to the police, However, there is a major limitation to this data: most agencies do not use it. [According to the FBI](https://www.fbi.gov/news/pressrel/press-releases/fbi-releases-2019-nibrs-crime-data) only about 8,500 police agencies, covering about 45% of the US population, reported NIBRS data in 2019 (the latest year currently available). This is fewer than half of the about 18,000 police agencies in the United States. This is an even larger problem than it seems as the agencies that do report - especially in earlier years of the data - are disproportionately small and rural. So we are missing out of data from most major cities. A number of states do not have any agencies reporting, making this data relatively biased at least in terms of geography and city size. **Even so, the FBI has said that they are moving entirely to NIBRS data starting in 2021, and will no longer even collect UCR data.** While NIBRS can be converted to UCR data, meaning we can have consistent statistics over time, for agencies that do not report to NIBRS, we have no information on their crimes. In effect, unless the majority of agencies suddenly switch to NIBRS - which, given that the high level of detail relative to UCR data makes moving to NIBRS a costly and timely switch - we will be flying blind for most crime in the country. -
-The number of agencies reporting data for each of the NIBRS Segments, 1991-2023. -

(\#fig:nibrsSegmentsAgencies)The number of agencies reporting data for each of the NIBRS Segments, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{11_nibrs_general_files/figure-latex/nibrsSegmentsAgencies-1} + +} + +\caption{The number of agencies reporting data for each of the NIBRS Segments, 1991-2023.}(\#fig:nibrsSegmentsAgencies) +\end{figure} ## Problems with NIBRS @@ -10485,35 +5164,55 @@ Another way to look at reporting is comparing it to reporting to UCR. Figure \@r Since the number of agencies in a state is partially just a factor of population, Figure \@ref(fig:agenciesReportingMapPercent) shows each state as a percent of agencies in that state that report to NIBRS that also reported to the UCR Offenses Known and Clearances by Arrest (the "crime" dataset) in 2019.^[This is the UCR dataset which has the highest reporting rate.] Not all agencies in the US reported to UCR in 2019 - and a small number reported to NIBRS but not UCR in 2019 - but this is a fairly good measure of reporting rates. Here the story looks a bit different than in the previous figure. Now we can tell that among north-western states and states along the Appalachian Mountains, nearly all agencies report. In total, 18 states have 90% or more of agencies that reported to UCR in 2019 also reporting to NIBRS. Thirteen agencies have fewer than 10% of agencies reporting to NIBRS that also reported to UCR, with 5 of these having 0% of agencies reporting. The remaining states average about 56% of agencies reporting. So when using NIBRS data, keep in mind that you have very good coverage of certain states, and very poor coverage of other states. And the low - or zero - reporting states are systematically high population states. -
-The annual number of police agencies that report data to NIBRS. -

(\#fig:nibrsAnnualNumberAgencies)The annual number of police agencies that report data to NIBRS.

-
+\begin{figure} +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{11_nibrs_general_files/figure-latex/nibrsAnnualNumberAgencies-1} +} +\caption{The annual number of police agencies that report data to NIBRS.}(\#fig:nibrsAnnualNumberAgencies) +\end{figure} -
-The annual percent of the United States population that is covered by an agency reporting data to NIBRS. -

(\#fig:nibrsAnnualPercentPopulation)The annual percent of the United States population that is covered by an agency reporting data to NIBRS.

-
-
-The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2000 -

(\#fig:nibrsStateParticipation2000)The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2000

-
+\begin{figure} -
-The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2010 -

(\#fig:nibrsStateParticipation2010)The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2010

-
+{\centering \includegraphics[width=1\linewidth,height=1\textheight]{11_nibrs_general_files/figure-latex/nibrsAnnualPercentPopulation-1} -
-The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2023 (using 2022 ACS 5-year Census data) -

(\#fig:nibrsStateParticipation2022)The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2023 (using 2022 ACS 5-year Census data)

-
+} + +\caption{The annual percent of the United States population that is covered by an agency reporting data to NIBRS.}(\#fig:nibrsAnnualPercentPopulation) +\end{figure} + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{11_nibrs_general_files/figure-latex/nibrsStateParticipation2000-1} + +} + +\caption{The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2000}(\#fig:nibrsStateParticipation2000) +\end{figure} + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{11_nibrs_general_files/figure-latex/nibrsStateParticipation2010-1} + +} + +\caption{The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2010}(\#fig:nibrsStateParticipation2010) +\end{figure} + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{11_nibrs_general_files/figure-latex/nibrsStateParticipation2022-1} + +} + +\caption{The percent of each state's population that is covered by police agencies reporting at least one month of data to NIBRS, 2023 (using 2022 ACS 5-year Census data)}(\#fig:nibrsStateParticipation2022) +\end{figure} ## Crimes included in NIBRS @@ -10645,10 +5344,14 @@ Negative numbers in SRS data are because when a crime is reported and then later NIBRS data is often discussed - and is used - as if it were a single file with all of this information available. But it actually comes as multiple different files that each provide different information about a crime incident, including at different levels of analysis so users must clean each segment before merging them together. In this section we will discuss each of the segments and how they are related to each other. First, keep in mind that NIBRS is at its core an incident-level dataset (hence the "Incident-Based" part of its name). Everything that we have stems from the incident, even though we can get more detailed and look at, for example, individual victims in an incident or even offenses within an incident. Figure \@ref(fig:segmentFlowchart) shows the seven main segments and how they relate to each other. There are also three segments called "window segments" - there is one for arrestees, one of exceptional clearances (i.e. police could have made an arrest but did not for some reason but still consider the case closed), and one for property - that do not have an associated segment with them, they only have the information available in the given "window" segment. We will talk about window segments more in Section \@ref(window) below. -
-The association of each segment file in the NIBRS dataset. -

(\#fig:segmentFlowchart)The association of each segment file in the NIBRS dataset.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{images/nibrsSegments} + +} + +\caption{The association of each segment file in the NIBRS dataset.}(\#fig:segmentFlowchart) +\end{figure} The first two boxes in Figure \@ref(fig:segmentFlowchart), colored in orange, are not part of NIBRS but are part of the data generating process. First, obviously, a crime has to occur. The police then have to learn about the crime. This can happen in two ways. First, they can discover it themselves while on patrol. This is common in crimes such as drug possession or sale as well as any crime that occurs outdoors, which is largely where police are able to observe behavior. The second way is that the victim or witness to a crime reports it. So if they call the police to report a crime, the police learn about it from that call. We do not actually know from the data how the police learned of a crime but it is important to think about this data generating process when using the data. Alongside the crime being reported (or discovered) to the police, agencies must then report the crime to NIBRS. All crimes that occur in that agency's jurisdiction *should* be reported, but that is not always the case. Since reporting is voluntary (at least nationally, though some states do require agencies to report data), agencies are free to report as many or as few crimes as they wish. This often occurs when agencies report only parts of the year, excluding certain months, so you should ensure that the agency reported data for each month you are interested in. @@ -10708,26 +5411,38 @@ An important variable, especially for policy analyses, is when the crime happene Figure \@ref(fig:administrativeIncidentMonth) shows the percent of incidents in the 2022 for each month. Past research has found that crimes are lowest when it is cold and highest when it is hot^[Summer also comes with many teens and young adults out of school so have more free time to offend or be victimized, so the weather is only part of the cause.]. Consistent with previous research, we find that crime rates are lowest in February, steadily increasing through the warmer months before peaking in July and August, then decreasing as temperatures cool. These seasonal patterns are important in understanding how environmental factors, such as weather, influence criminal activity, and they can help law enforcement agencies plan how many officers they want on patrol since they can determine which times of the year have the highest expected crime. -
-The percent of crime incidents in 2022 NIBRS by the month of incident. -

(\#fig:administrativeIncidentMonth)The percent of crime incidents in 2022 NIBRS by the month of incident.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeIncidentMonth-1} + +} + +\caption{The percent of crime incidents in 2022 NIBRS by the month of incident.}(\#fig:administrativeIncidentMonth) +\end{figure} We can also look at the days of the month to see if there is any variation there. Figure \@ref(fig:administrativeMonthDayIncident) shows the percent of incidents on each day of the month. There's not much variation other than a few days. The 29th and 30th day of the month have fewer incidents than average, and the 31st day has by far the fewest incidents These findings are reasonable since not all months have more than 28 days so by definition there are fewer 31st (and 29th, and 30th) days of the month for crimes to occur on. The most common day of the month is the 1st which accounts for 3.95% of all incidents. In this data the agencies must report a date, even if they do not know the exact date; there is no option to put "unknown date". When agencies are unsure of the exact date of a crime, they appear to default to entering the 1st of the month as a placeholder. This practice introduces a potential source of error, and researchers should be cautious when analyzing trends that rely on specific dates, as the 1st of the month may disproportionately represent incidents with unknown dates. -
-The percent of incidents that occur using the day of the incident, even if the incidents was not reported that day, each day of the month for all agencies reporting to NIBRS in 2022. -

(\#fig:administrativeMonthDayIncident)The percent of incidents that occur using the day of the incident, even if the incidents was not reported that day, each day of the month for all agencies reporting to NIBRS in 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeMonthDayIncident-1} + +} + +\caption{The percent of incidents that occur using the day of the incident, even if the incidents was not reported that day, each day of the month for all agencies reporting to NIBRS in 2022.}(\#fig:administrativeMonthDayIncident) +\end{figure} The above graph showed the days of the month where the incident was said to occur. There is also a variable that says if the date included was the incident date or the date the crime was reported to the police. Figure \@ref(fig:administrativeMonthDayReport) replicates Figure \@ref(fig:administrativeMonthDayIncident) but now shows only report dates rather than incident date. Here too we see the same pattern of the 1st of the month having a disproportionate share of data, again suggesting that it is a placeholder for "unknown" dates. -
-The percent of incidents that are reported (the day of the report, even if not the day of the incident) each day of the month for all agencies reporting to NIBRS in 2022. -

(\#fig:administrativeMonthDayReport)The percent of incidents that are reported (the day of the report, even if not the day of the incident) each day of the month for all agencies reporting to NIBRS in 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeMonthDayReport-1} + +} + +\caption{The percent of incidents that are reported (the day of the report, even if not the day of the incident) each day of the month for all agencies reporting to NIBRS in 2022.}(\#fig:administrativeMonthDayReport) +\end{figure} ## Hour of incident @@ -10737,267 +5452,109 @@ Figure \@ref(fig:administrativeHours) shows the distribution of incidents that o The substantial spike at midnight is unlikely to reflect actual crime patterns, as the number of incidents during this hour is more than triple that of neighboring hours. The noon hour is about 50% larger than in the neighboring hours, so is a sizable increase though continues the trend of increasing crime during the day and is a far smaller increase than at midnight. This suggests that, similar to the "1st of the month" issue, officers may be using midnight and (less so) noon as a placeholder when the exact time of the crime is unknown. Researchers should exclude the midnight and noon hours from time-sensitive analyses to avoid skewed results. -
-The percent of crimes that are reported each hour for all agencies reporting to NIBRS in 2022. -

(\#fig:administrativeHours)The percent of crimes that are reported each hour for all agencies reporting to NIBRS in 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeHours-1} + +} + +\caption{The percent of crimes that are reported each hour for all agencies reporting to NIBRS in 2022.}(\#fig:administrativeHours) +\end{figure} To look at these trends over time, Figure \@ref(fig:nibrsAdministrativeHours) shows the percent of incidents each year that are reported at noon, at midnight, and where the hour is unknown. The noon hour has slowly and steadily become more common, moving from about 4% in 1991 to 6% in 2022. The midnight hour has seen more fluctuations, increasing to 9% by 1993 before steadily decreasing until a large and sustained spike to 9% in 2017. The spike was caused by the end of data being reported as having an unknown hour. While the share of incidents with an unknown hour has also fluctuated - from around 2.5% to 5% of incidents depending on the year - that dropped to 0% in 2017, as unknown hours stopped being reported after 2016. -
-Annual percent of incidents that occurred at midnight, noon, and at an unknown time, 1991-2023. -

(\#fig:nibrsAdministrativeHours)Annual percent of incidents that occurred at midnight, noon, and at an unknown time, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/nibrsAdministrativeHours-1} + +} + +\caption{Annual percent of incidents that occurred at midnight, noon, and at an unknown time, 1991-2023.}(\#fig:nibrsAdministrativeHours) +\end{figure} Another way to visualize this is to see what hour is most and least common for every year we have data, as shown in Table \@ref(tab:nibrsAdministrativeCommonHours). Results are strikingly similar for the entire time period we have NIBRS. In every year except for 1991 the most common hour is midnight, and in every year the least common is 5am. When excluding midnight the most common hours are are the end of the work day at 5PM-5:59PM and 6PM-6:59PM, or at noon. NIBRS data is available since 1991, and the number of agencies reporting has grown each year. This is also a time period which has seen considerable changes in crimes, an increase in the 1990s followed by a sustained decrease since then until a (now seemingly temporary) spike starting in 2020. Yet throughout all these changes the most and least common hours remain very consistent, suggesting that there appear to strong rules of when crime occurs regardless of other changes. Or at least strong rules in what appears in our data, as I do not believe the midnight or noon hour results are real. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:nibrsAdministrativeCommonHours)The most and least common incident hours, and the most common hours excluding midnight and noon.
Year Most Common Least Common Most Common, Exclude Midnight Most Common, Exclude Midnight/Noon
1991 6PM 5AM 6PM 6PM
1992 Midnight 5AM 6PM 6PM
1993 Midnight 5AM 6PM 6PM
1994 Midnight 5AM 6PM 6PM
1995 Midnight 5AM 6PM 6PM
1996 Midnight 5AM 6PM 6PM
1997 Midnight 5AM 6PM 6PM
1998 Midnight 5AM 6PM 6PM
1999 Midnight 5AM 5PM 5PM
2000 Midnight 5AM 5PM 5PM
2001 Midnight 5AM 5PM 5PM
2002 Midnight 5AM 5PM 5PM
2003 Midnight 5AM 5PM 5PM
2004 Midnight 5AM 5PM 5PM
2005 Midnight 5AM 5PM 5PM
2006 Midnight 5AM 5PM 5PM
2007 Midnight 5AM 5PM 5PM
2008 Midnight 5AM 5PM 5PM
2009 Midnight 5AM Noon 5PM
2010 Midnight 5AM Noon 5PM
2011 Midnight 5AM Noon 5PM
2012 Midnight 5AM Noon 5PM
2013 Midnight 5AM Noon 5PM
2014 Midnight 5AM Noon 5PM
2015 Midnight 5AM Noon 5PM
2016 Midnight 5AM Noon 5PM
2017 Midnight 5AM Noon 5PM
2018 Midnight 5AM Noon 5PM
2019 Midnight 5AM Noon 5PM
2020 Midnight 5AM Noon 5PM
2021 Midnight 5AM Noon 5PM
2022 Midnight 5AM Noon 5PM
2023 Midnight 5AM Noon 5PM
+ +\begin{longtable}[t]{l|l|r|r|l} +\caption{(\#tab:nibrsAdministrativeCommonHours)The most and least common incident hours, and the most common hours excluding midnight and noon.}\\ +\hline +Year & Most Common & Least Common & Most Common, Exclude Midnight & Most Common, Exclude Midnight/Noon\\ +\hline +\endfirsthead +\caption[]{(\#tab:nibrsAdministrativeCommonHours)The most and least common incident hours, and the most common hours excluding midnight and noon. \textit{(continued)}}\\ +\hline +Year & Most Common & Least Common & Most Common, Exclude Midnight & Most Common, Exclude Midnight/Noon\\ +\hline +\endhead +1991 & 6PM & 5AM & 6PM & 6PM\\ +\hline +1992 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1993 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1994 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1995 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1996 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1997 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1998 & Midnight & 5AM & 6PM & 6PM\\ +\hline +1999 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2000 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2001 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2002 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2003 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2004 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2005 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2006 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2007 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2008 & Midnight & 5AM & 5PM & 5PM\\ +\hline +2009 & Midnight & 5AM & Noon & 5PM\\ +\hline +2010 & Midnight & 5AM & Noon & 5PM\\ +\hline +2011 & Midnight & 5AM & Noon & 5PM\\ +\hline +2012 & Midnight & 5AM & Noon & 5PM\\ +\hline +2013 & Midnight & 5AM & Noon & 5PM\\ +\hline +2014 & Midnight & 5AM & Noon & 5PM\\ +\hline +2015 & Midnight & 5AM & Noon & 5PM\\ +\hline +2016 & Midnight & 5AM & Noon & 5PM\\ +\hline +2017 & Midnight & 5AM & Noon & 5PM\\ +\hline +2018 & Midnight & 5AM & Noon & 5PM\\ +\hline +2019 & Midnight & 5AM & Noon & 5PM\\ +\hline +2020 & Midnight & 5AM & Noon & 5PM\\ +\hline +2021 & Midnight & 5AM & Noon & 5PM\\ +\hline +2022 & Midnight & 5AM & Noon & 5PM\\ +\hline +2023 & Midnight & 5AM & Noon & 5PM\\ +\hline +\end{longtable} @@ -11012,17 +5569,25 @@ Next we have when the offender is a juvenile and the police chose to avoid arres The values shown in Figure \@ref(fig:administrativeExceptionalClearances) are for all incidents so can be quite different when examining subsets of the data such as by offender demographics or incident type. Doing this would require merging the Administrative Segment with another segment such as Offense or Victim. -
-The distribution of exceptional clearances for all exceptional clearances reported to NIBRS, 1991-2023. -

(\#fig:administrativeExceptionalClearances)The distribution of exceptional clearances for all exceptional clearances reported to NIBRS, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeExceptionalClearances-1} + +} + +\caption{The distribution of exceptional clearances for all exceptional clearances reported to NIBRS, 1991-2023.}(\#fig:administrativeExceptionalClearances) +\end{figure} In Figure \@ref(fig:nibrsAdministrativeClearance) we can see trends in the percent of incidents that involve an arrest or an exceptional clearance. Ignoring the spike in the arrest rate in the first few years of data, likely part of growing pains of any new dataset, the share of incidents with an arrest is relatively steady over time, increasing until it peaks at a little under 30% of incidents in the mid-2010s and then declining since then. The share of incidents that are exceptionally cleared likewise are relatively steady but do show a slow decline over time, moving from a bit over 5% at the start of our data to about 3% by the end. These changes may simply be due to different agencies reporting over time but they are steady enough that I think the trend likely accurately reflects arrest and exceptional clearance rates in the US. -
-Percent of incidents with an arrest or exceptional clearance, 1991-2023. -

(\#fig:nibrsAdministrativeClearance)Percent of incidents with an arrest or exceptional clearance, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/nibrsAdministrativeClearance-1} + +} + +\caption{Percent of incidents with an arrest or exceptional clearance, 1991-2023.}(\#fig:nibrsAdministrativeClearance) +\end{figure} ## Number of other segments @@ -11034,17 +5599,25 @@ This variable indicates how many offense segments there are associated with this Figure \@ref(fig:administrativeOffenseSegments) shows the number of offense segments - and thus the number of crimes - associated with each incident. The vast majority of incidents only have one offense reported, making up 88% of incidents.^[In reality a person who commits a crime may be arrested or charged with many (often highly related) offenses related to a single criminal incident. So this data does report fewer incidents than you would likely find in other data sources, such as if you request data from a local police agency or district attorney's office.] This drops considerably to 10% of incidents having two offenses, 1% having three, and then under 0.15% of incidents having four through nine offenses. -
-The distribution for the number of Offender Segments per incident, for all incidents in NIBRS 2022. -

(\#fig:administrativeOffenseSegments)The distribution for the number of Offender Segments per incident, for all incidents in NIBRS 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeOffenseSegments-1} + +} + +\caption{The distribution for the number of Offender Segments per incident, for all incidents in NIBRS 2022.}(\#fig:administrativeOffenseSegments) +\end{figure} This trend is consistent over time. As shown in Figure \@ref(fig:nibrsAdministrativeNumberOffense), the median number of offense segments each year is one, while the mean number is slightly over one. -
-Annual mean and median number of Offense Segments, 1991-2023. -

(\#fig:nibrsAdministrativeNumberOffense)Annual mean and median number of Offense Segments, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/nibrsAdministrativeNumberOffense-1} + +} + +\caption{Annual mean and median number of Offense Segments, 1991-2023.}(\#fig:nibrsAdministrativeNumberOffense) +\end{figure} ### Offender Segments @@ -11052,17 +5625,25 @@ The Administrative Segment tells you how many offenders are involved with an inc With that major caveat in mind, Figure \@ref(fig:administrativeOffenderSegments) shows the distribution in how many offenders there were per incident. The vast majority of incidents have only one (or potentially an unknown number) offenders, at 91% percent of incidents. Incidents with two offenders make up only 7% of incidents while those with three make up 1% of incidents. No other number of offenders make up more than 0.5% of incidents. The data does have the exact number of offenders but I have top coded it to 10 in the graph for simplicity. There can potentially be a large number of offenders involved in an incident and in the 2022 NIBRS data the incident with the higher number of offenders had 86. However, it is exceedingly rare for there to be even more than a handful of offenders. -
-The distribution for the number of Offender Segments per incident, for all incidents in NIBRS 2022. -

(\#fig:administrativeOffenderSegments)The distribution for the number of Offender Segments per incident, for all incidents in NIBRS 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeOffenderSegments-1} + +} + +\caption{The distribution for the number of Offender Segments per incident, for all incidents in NIBRS 2022.}(\#fig:administrativeOffenderSegments) +\end{figure} As seen in Figure \@ref(fig:nibrsAdministrativeNumberOffender), in every year the median number of offenders is one and the mean number is just above one. -
-Annual mean and median number of Offender Segments, 1991-2023. -

(\#fig:nibrsAdministrativeNumberOffender)Annual mean and median number of Offender Segments, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/nibrsAdministrativeNumberOffender-1} + +} + +\caption{Annual mean and median number of Offender Segments, 1991-2023.}(\#fig:nibrsAdministrativeNumberOffender) +\end{figure} ### Victim Segments @@ -11070,26 +5651,38 @@ In cases where the offense is a "victimless crime" (or at least one where there Figure \@ref(fig:administrativeVictimSegments) shows the distribution in the number of victims per incident. Like the number of offenses and offenders, this is massively skewed to the left with 91% of incidents having a single victim. Incidents with two victims make up 8% of the data while incidents with three victims are 1%. All remaining numbers of victims are less than one third of 0.5% of the data each. The data does have the exact number of victims but I have top coded it to 10 in the graph for simplicity. The incident with the most victims in 2022 had 163 victims. -
-The distribution for the number of Victim Segments per incident, for all incidents in NIBRS 2022. -

(\#fig:administrativeVictimSegments)The distribution for the number of Victim Segments per incident, for all incidents in NIBRS 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeVictimSegments-1} + +} + +\caption{The distribution for the number of Victim Segments per incident, for all incidents in NIBRS 2022.}(\#fig:administrativeVictimSegments) +\end{figure} Similar to what we have seen with offenses and offenders, we can see in Figure \@ref(fig:nibrsAdministrativeNumberVictim) that the median number of victims is one and the mean number is just a bit more than one. -
-Annual mean and median number of Victim Segments, 1991-2023. -

(\#fig:nibrsAdministrativeNumberVictim)Annual mean and median number of Victim Segments, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/nibrsAdministrativeNumberVictim-1} + +} + +\caption{Annual mean and median number of Victim Segments, 1991-2023.}(\#fig:nibrsAdministrativeNumberVictim) +\end{figure} ### Arrestee Segments Unlike the previous segments, there may not always be an arrestee segment since not all crimes lead to an arrest. Figure \@ref(fig:administrativeArresteeSegments) shows the distribution in the number of arrestee segments per incident in the 2022 NIBRS data. Indeed, the vast majority - 77% of incidents - did not lead to a single arrest. In 21% of incidents a single person was arrested while in 2% of incidents two people were arrested. The remaining numbers of people arrested are increasingly small with fewer than 0.3% of incidents having more than three people arrested. The incident with the most arrests in 2022 led to 65 people arrested. -
-The distribution for the number of Arrestee Segments per incident, for all incidents in NIBRS 2022. -

(\#fig:administrativeArresteeSegments)The distribution for the number of Arrestee Segments per incident, for all incidents in NIBRS 2022.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeArresteeSegments-1} + +} + +\caption{The distribution for the number of Arrestee Segments per incident, for all incidents in NIBRS 2022.}(\#fig:administrativeArresteeSegments) +\end{figure} Of course, to really understand these arrests we would need to know how many people committed the crime. Having one arrest for an incident with one offender is good, having one arrest when there are multiple offenders means some criminals are walking free. While we do not know the true number of offenders (as police may not know how many there actually were), we can use the Offender Segment count as an estimate. Figure \@ref(fig:administrativeArrestsAny) shows the percent of incidents where at least one offender was arrested and where all offenders were arrested, broken down by the number of reported offenders. @@ -11098,17 +5691,25 @@ There is wide variability in the percent of offenders arrested by the number of When there are two offenders, about 39% of incidents have at least one arrest and 26% of incidents have both offenders arrested. For having at least one person arrested we see a fairly steady rate of mid- to high-30% for each number of offenders. In contrast, the share of incidents where all offenders are arrested declines with each additional offender, reaching to only 9% with 10 or more offenders. -
-The percent of incidents by number of offenders where at least one offender is arrested and where all offenders are arrested. -

(\#fig:administrativeArrestsAny)The percent of incidents by number of offenders where at least one offender is arrested and where all offenders are arrested.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/administrativeArrestsAny-1} + +} + +\caption{The percent of incidents by number of offenders where at least one offender is arrested and where all offenders are arrested.}(\#fig:administrativeArrestsAny) +\end{figure} The median number of arrestee segments over time, as shown in Figure \@ref(fig:nibrsAdministrativeNumberArrestee) is zero, with the mean number slightly higher at around 0.3. -
-Annual mean and median number of Arrestee Segments, 1991-2023. -

(\#fig:nibrsAdministrativeNumberArrestee)Annual mean and median number of Arrestee Segments, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{12_nibrs_administrative_files/figure-latex/nibrsAdministrativeNumberArrestee-1} + +} + +\caption{Annual mean and median number of Arrestee Segments, 1991-2023.}(\#fig:nibrsAdministrativeNumberArrestee) +\end{figure} In summary, the Administrative Segment provides a useful metadata for understanding what other segments are available for each incident. Although it is often necessary to combine this data with other segments to gain a full understanding of the incident, the information in the Administrative Segment - such as the timing of the crime and exceptional clearance details - offers useful insights into the broader patterns of criminal activity and law enforcement responses. @@ -11136,385 +5737,141 @@ Table \@ref(tab:offenseCrimeCategories) shows each possible crime in the data an This table also shows the first year that offense is included in the data. Most offenses have been included since NIBRS started in 1991, but these have been new offenses added, with these additions becoming more common recently. For example, the crime "Failure to register as a sex offender" was added in 2021 as was "Illegal entry into the United States." There are even offenses that were not reported at all in 2022, such as "treason," which is an offense that only federal and tribal agencies are allowed to report. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseCrimeCategories)The number and percent of crimes reported from all agencies in 2022, by crime category.
Crime Category First Year \# of Offenses \% of Offenses
Assault Offenses - Simple Assault 1991 1,935,317 13.83\%
Destruction/Damage/Vandalism of Property 1991 1,655,619 11.83\%
Larceny/Theft Offenses - All Other Larceny 1991 1,421,624 10.16\%
Drug/Narcotic Offenses - Drug/Narcotic Violations 1991 1,059,452 7.57\%
Larceny/Theft Offenses - Shoplifting 1991 966,955 6.91\%
Motor Vehicle Theft 1991 892,984 6.38\%
Larceny/Theft Offenses - Theft From Motor Vehicle 1991 858,529 6.13\%
Burglary/Breaking And Entering 1991 683,034 4.88\%
Assault Offenses - Intimidation 1991 623,972 4.46\%
Assault Offenses - Aggravated Assault 1991 605,159 4.32\%
Drug/Narcotic Offenses - Drug Equipment Violations 1991 486,578 3.48\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game 1991 368,675 2.63\%
Weapon Law Violations - Weapon Law Violations 1991 355,241 2.54\%
Larceny/Theft Offenses - Theft From Building 1991 309,847 2.21\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 1991 265,516 1.90\%
Fraud Offenses - Identity Theft 2015 206,577 1.48\%
Fraud Offenses - Credit Card/Atm Fraud 1991 192,734 1.38\%
Robbery 1991 179,206 1.28\%
Counterfeiting/Forgery 1991 154,026 1.10\%
Stolen Property Offenses (Receiving, Selling, Etc.) 1991 136,314 0.97\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) 1991 86,034 0.61\%
Fraud Offenses - Impersonation 1991 85,093 0.61\%
Sex Offenses - Rape 1991 78,612 0.56\%
Pornography/Obscene Material 1991 45,412 0.32\%
Kidnapping/Abduction 1991 44,695 0.32\%
Fraud Offenses - Wire Fraud 1991 43,899 0.31\%
Embezzlement 1991 35,162 0.25\%
Arson 1991 32,325 0.23\%
Extortion/Blackmail 1991 27,034 0.19\%
Larceny/Theft Offenses - Pocket-Picking 1991 26,529 0.19\%
Animal Cruelty 2015 22,418 0.16\%
Sex Offenses - Sodomy 1991 20,410 0.15\%
Murder/Nonnegligent Manslaughter 1991 14,861 0.11\%
Larceny/Theft Offenses - Purse-Snatching 1991 12,570 0.09\%
Prostitution Offenses - Prostitution 1991 9,184 0.07\%
Fraud Offenses - Hacking/Computer Invasion 2015 9,148 0.07\%
Sex Offenses - Sexual Assault With An Object 1991 7,984 0.06\%
Sex Offenses - Statutory Rape 1991 7,918 0.06\%
Fraud Offenses - Welfare Fraud 1991 6,116 0.04\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device 1991 4,993 0.04\%
Prostitution Offenses - Assisting Or Promoting Prostitution 1991 3,419 0.02\%
Prostitution Offenses - Purchasing Prostitution 2013 3,076 0.02\%
Human Trafficking - Commercial Sex Acts 2013 2,089 0.01\%
Negligent Manslaughter 1991 1,802 0.01\%
Sex Offenses - Incest 1991 1,147 0.01\%
Gambling Offenses - Operating/Promoting/Assisting Gambling 1991 1,141 0.01\%
Gambling Offenses - Gambling Equipment Violations 1991 922 0.01\%
Bribery 1991 807 0.01\%
Gambling Offenses - Betting/Wagering 1991 735 0.01\%
Justifiable Homicide - Not A Crime 1991 671 0.00\%
Human Trafficking - Involuntary Servitude 2014 495 0.00\%
Commerce Violations - Federal Liquor Offenses 2020 110 0.00\%
Fugitive Offenses - Flight To Avoid Prosecution 2021 109 0.00\%
Sex Offenses - Failure To Register As A Sex Offender 2019 42 0.00\%
Gambling Offenses - Sports Tampering 1994 7 0.00\%
Immigration Violations - Illegal Entry Into The United States 2020 3 0.00\%
Commerce Violations - Wildlife Trafficking 2023 2 0.00\%
Weapon Law Violations - Explosives 2021 1 0.00\%
Commerce Violations - Federal Tobacco Offenses 2021 1 0.00\%
Fraud Offenses - Money Laundering 2022 1 0.00\%
Total - 13,994,336 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseCrimeCategories)The number and percent of crimes reported from all agencies in 2022, by crime category.}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseCrimeCategories)The number and percent of crimes reported from all agencies in 2022, by crime category. \textit{(continued)}}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Assault Offenses - Simple Assault & 1991 & 1,935,317 & 13.83\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & 1991 & 1,655,619 & 11.83\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & 1991 & 1,421,624 & 10.16\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & 1991 & 1,059,452 & 7.57\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & 1991 & 966,955 & 6.91\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & 1991 & 892,984 & 6.38\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & 1991 & 858,529 & 6.13\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & 1991 & 683,034 & 4.88\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & 1991 & 623,972 & 4.46\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & 1991 & 605,159 & 4.32\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & 1991 & 486,578 & 3.48\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & 1991 & 368,675 & 2.63\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & 1991 & 355,241 & 2.54\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & 1991 & 309,847 & 2.21\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 1991 & 265,516 & 1.90\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & 2015 & 206,577 & 1.48\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & 1991 & 192,734 & 1.38\textbackslash{}\%\\ +\hline +Robbery & 1991 & 179,206 & 1.28\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & 1991 & 154,026 & 1.10\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & 1991 & 136,314 & 0.97\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & 1991 & 86,034 & 0.61\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & 1991 & 85,093 & 0.61\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & 1991 & 78,612 & 0.56\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & 1991 & 45,412 & 0.32\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & 1991 & 44,695 & 0.32\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & 1991 & 43,899 & 0.31\textbackslash{}\%\\ +\hline +Embezzlement & 1991 & 35,162 & 0.25\textbackslash{}\%\\ +\hline +Arson & 1991 & 32,325 & 0.23\textbackslash{}\%\\ +\hline +Extortion/Blackmail & 1991 & 27,034 & 0.19\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & 1991 & 26,529 & 0.19\textbackslash{}\%\\ +\hline +Animal Cruelty & 2015 & 22,418 & 0.16\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & 1991 & 20,410 & 0.15\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & 1991 & 14,861 & 0.11\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & 1991 & 12,570 & 0.09\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & 1991 & 9,184 & 0.07\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & 2015 & 9,148 & 0.07\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & 1991 & 7,984 & 0.06\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & 1991 & 7,918 & 0.06\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & 1991 & 6,116 & 0.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & 1991 & 4,993 & 0.04\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & 1991 & 3,419 & 0.02\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & 2013 & 3,076 & 0.02\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & 2013 & 2,089 & 0.01\textbackslash{}\%\\ +\hline +Negligent Manslaughter & 1991 & 1,802 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & 1991 & 1,147 & 0.01\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & 1991 & 1,141 & 0.01\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & 1991 & 922 & 0.01\textbackslash{}\%\\ +\hline +Bribery & 1991 & 807 & 0.01\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & 1991 & 735 & 0.01\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & 1991 & 671 & 0.00\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & 2014 & 495 & 0.00\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & 2020 & 110 & 0.00\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & 2021 & 109 & 0.00\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & 2019 & 42 & 0.00\textbackslash{}\%\\ +\hline +Gambling Offenses - Sports Tampering & 1994 & 7 & 0.00\textbackslash{}\%\\ +\hline +Immigration Violations - Illegal Entry Into The United States & 2020 & 3 & 0.00\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & 2023 & 2 & 0.00\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & 2021 & 1 & 0.00\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Tobacco Offenses & 2021 & 1 & 0.00\textbackslash{}\%\\ +\hline +Fraud Offenses - Money Laundering & 2022 & 1 & 0.00\textbackslash{}\%\\ +\hline +Total & - & 13,994,336 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -11552,787 +5909,275 @@ This data is only available for the below subset of crimes, and is not always pr * Weapon Law Violations - Violation of National Firearm Act of 1934 * Weapon Law Violations - Weapon Law Violations - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseCrimeSubcategories)The number and percent of crime subtypes by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to three subtypes per offense; in this table we only use the first subtype.
Crime Crime Subcategory \# of Offenses \% of Offenses
Animal Cruelty Simple/Gross Neglect (Unintentionally, Intentionally, Or Knowingly Failing To Provide Food, Water, Shelter, Veterinary Care, Hoarding, Etc.) 14,316 63.86\%
Animal Cruelty Intentional Abuse And Torture (Tormenting, Mutilating, Poisoning, Or Abandonment) 7,470 33.32\%
Animal Cruelty Animal Sexual Abuse (Bestiality) 368 1.64\%
Animal Cruelty Organized Abuse (Dog Fighting And Cock Fighting) 264 1.18\%
Animal Cruelty Total 22,418 100\%
Assault Offenses - Aggravated Assault None/Unknown Gang Involvement (Mutually Exclusive) 335,384 55.42\%
Assault Offenses - Aggravated Assault None 264,605 43.72\%
Assault Offenses - Aggravated Assault Other Gang 3,843 0.64\%
Assault Offenses - Aggravated Assault Juvenile Gang Involvement 1,327 0.22\%
Assault Offenses - Aggravated Assault Total 605,159 100\%
Assault Offenses - Intimidation None/Unknown Gang Involvement (Mutually Exclusive) 397,389 63.69\%
Assault Offenses - Intimidation None 223,830 35.87\%
Assault Offenses - Intimidation Other Gang 2,002 0.32\%
Assault Offenses - Intimidation Juvenile Gang Involvement 751 0.12\%
Assault Offenses - Intimidation Total 623,972 100\%
Assault Offenses - Simple Assault None/Unknown Gang Involvement (Mutually Exclusive) 1,076,203 55.61\%
Assault Offenses - Simple Assault None 853,121 44.08\%
Assault Offenses - Simple Assault Other Gang 3,950 0.20\%
Assault Offenses - Simple Assault Juvenile Gang Involvement 2,043 0.11\%
Assault Offenses - Simple Assault Total 1,935,317 100\%
Commerce Violations - Federal Liquor Offenses Using/Consuming 97 88.18\%
Commerce Violations - Federal Liquor Offenses Possessing/Concealing 11 10.00\%
Commerce Violations - Federal Liquor Offenses Distributing/Selling 2 1.82\%
Commerce Violations - Federal Liquor Offenses Total 110 100\%
Counterfeiting/Forgery Possessing/Concealing 57,858 37.56\%
Counterfeiting/Forgery Using/Consuming 31,008 20.13\%
Counterfeiting/Forgery Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 27,638 17.94\%
Counterfeiting/Forgery Buying/Receiving 24,471 15.89\%
Counterfeiting/Forgery Distributing/Selling 6,914 4.49\%
Counterfeiting/Forgery Operating/Promoting/Assisting 3,860 2.51\%
Counterfeiting/Forgery Transporting/Transmitting/Importing 2,212 1.44\%
Counterfeiting/Forgery Exploiting Children 65 0.04\%
Counterfeiting/Forgery Total 154,026 100\%
Drug/Narcotic Offenses - Drug Equipment Violations Possessing/Concealing 429,627 88.30\%
Drug/Narcotic Offenses - Drug Equipment Violations Using/Consuming 40,911 8.41\%
Drug/Narcotic Offenses - Drug Equipment Violations Distributing/Selling 7,951 1.63\%
Drug/Narcotic Offenses - Drug Equipment Violations Buying/Receiving 4,616 0.95\%
Drug/Narcotic Offenses - Drug Equipment Violations Transporting/Transmitting/Importing 1,356 0.28\%
Drug/Narcotic Offenses - Drug Equipment Violations Operating/Promoting/Assisting 1,111 0.23\%
Drug/Narcotic Offenses - Drug Equipment Violations Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 983 0.20\%
Drug/Narcotic Offenses - Drug Equipment Violations Exploiting Children 23 0.00\%
Drug/Narcotic Offenses - Drug Equipment Violations Total 486,578 100\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Possessing/Concealing 838,769 79.17\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Distributing/Selling 96,581 9.12\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Using/Consuming 90,430 8.54\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Buying/Receiving 19,444 1.84\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Transporting/Transmitting/Importing 6,409 0.60\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 5,260 0.50\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Operating/Promoting/Assisting 2,449 0.23\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Exploiting Children 110 0.01\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Total 1,059,452 100\%
Gambling Offenses - Gambling Equipment Violations Operating/Promoting/Assisting 425 46.10\%
Gambling Offenses - Gambling Equipment Violations Possessing/Concealing 419 45.44\%
Gambling Offenses - Gambling Equipment Violations Using/Consuming 32 3.47\%
Gambling Offenses - Gambling Equipment Violations Buying/Receiving 28 3.04\%
Gambling Offenses - Gambling Equipment Violations Distributing/Selling 9 0.98\%
Gambling Offenses - Gambling Equipment Violations Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 8 0.87\%
Gambling Offenses - Gambling Equipment Violations Transporting/Transmitting/Importing 1 0.11\%
Gambling Offenses - Gambling Equipment Violations Total 922 100\%
Kidnapping/Abduction None/Unknown Gang Involvement (Mutually Exclusive) 24,074 53.86\%
Kidnapping/Abduction None 20,397 45.64\%
Kidnapping/Abduction Other Gang 187 0.42\%
Kidnapping/Abduction Juvenile Gang Involvement 37 0.08\%
Kidnapping/Abduction Total 44,695 100\%
Murder/Nonnegligent Manslaughter None/Unknown Gang Involvement (Mutually Exclusive) 8,129 54.70\%
Murder/Nonnegligent Manslaughter None 6,420 43.20\%
Murder/Nonnegligent Manslaughter Other Gang 246 1.66\%
Murder/Nonnegligent Manslaughter Juvenile Gang Involvement 66 0.44\%
Murder/Nonnegligent Manslaughter Total 14,861 100\%
Negligent Manslaughter None/Unknown Gang Involvement (Mutually Exclusive) 967 53.66\%
Negligent Manslaughter None 827 45.89\%
Negligent Manslaughter Other Gang 6 0.33\%
Negligent Manslaughter Juvenile Gang Involvement 2 0.11\%
Negligent Manslaughter Total 1,802 100\%
Pornography/Obscene Material Exploiting Children 14,059 30.96\%
Pornography/Obscene Material Possessing/Concealing 12,448 27.41\%
Pornography/Obscene Material Distributing/Selling 10,479 23.08\%
Pornography/Obscene Material Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 3,564 7.85\%
Pornography/Obscene Material Transporting/Transmitting/Importing 1,864 4.10\%
Pornography/Obscene Material Operating/Promoting/Assisting 1,145 2.52\%
Pornography/Obscene Material Buying/Receiving 1,029 2.27\%
Pornography/Obscene Material Using/Consuming 824 1.81\%
Pornography/Obscene Material Total 45,412 100\%
Robbery None/Unknown Gang Involvement (Mutually Exclusive) 109,362 61.03\%
Robbery None 68,107 38.00\%
Robbery Other Gang 1,093 0.61\%
Robbery Juvenile Gang Involvement 644 0.36\%
Robbery Total 179,206 100\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) None/Unknown Gang Involvement (Mutually Exclusive) 44,827 52.10\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) None 41,010 47.67\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Other Gang 102 0.12\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Juvenile Gang Involvement 95 0.11\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Total 86,034 100\%
Sex Offenses - Rape None/Unknown Gang Involvement (Mutually Exclusive) 41,327 52.57\%
Sex Offenses - Rape None 37,050 47.13\%
Sex Offenses - Rape Other Gang 176 0.22\%
Sex Offenses - Rape Juvenile Gang Involvement 59 0.08\%
Sex Offenses - Rape Total 78,612 100\%
Sex Offenses - Sexual Assault With An Object None 4,261 53.37\%
Sex Offenses - Sexual Assault With An Object None/Unknown Gang Involvement (Mutually Exclusive) 3,708 46.44\%
Sex Offenses - Sexual Assault With An Object Juvenile Gang Involvement 9 0.11\%
Sex Offenses - Sexual Assault With An Object Other Gang 6 0.08\%
Sex Offenses - Sexual Assault With An Object Total 7,984 100\%
Sex Offenses - Sodomy None/Unknown Gang Involvement (Mutually Exclusive) 11,074 54.26\%
Sex Offenses - Sodomy None 9,285 45.49\%
Sex Offenses - Sodomy Other Gang 30 0.15\%
Sex Offenses - Sodomy Juvenile Gang Involvement 21 0.10\%
Sex Offenses - Sodomy Total 20,410 100\%
Stolen Property Offenses (Receiving, Selling, Etc.) Possessing/Concealing 107,218 78.66\%
Stolen Property Offenses (Receiving, Selling, Etc.) Buying/Receiving 14,483 10.62\%
Stolen Property Offenses (Receiving, Selling, Etc.) Operating/Promoting/Assisting 5,759 4.22\%
Stolen Property Offenses (Receiving, Selling, Etc.) Using/Consuming 4,478 3.29\%
Stolen Property Offenses (Receiving, Selling, Etc.) Transporting/Transmitting/Importing 2,313 1.70\%
Stolen Property Offenses (Receiving, Selling, Etc.) Distributing/Selling 1,930 1.42\%
Stolen Property Offenses (Receiving, Selling, Etc.) Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 124 0.09\%
Stolen Property Offenses (Receiving, Selling, Etc.) Exploiting Children 9 0.01\%
Stolen Property Offenses (Receiving, Selling, Etc.) Total 136,314 100\%
Weapon Law Violations - Explosives Possessing/Concealing 1 100.00\%
Weapon Law Violations - Explosives Total 1 100\%
Weapon Law Violations - Weapon Law Violations Possessing/Concealing 291,967 82.19\%
Weapon Law Violations - Weapon Law Violations Using/Consuming 40,616 11.43\%
Weapon Law Violations - Weapon Law Violations Operating/Promoting/Assisting 11,727 3.30\%
Weapon Law Violations - Weapon Law Violations Buying/Receiving 4,204 1.18\%
Weapon Law Violations - Weapon Law Violations Distributing/Selling 3,092 0.87\%
Weapon Law Violations - Weapon Law Violations Transporting/Transmitting/Importing 2,672 0.75\%
Weapon Law Violations - Weapon Law Violations Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) 893 0.25\%
Weapon Law Violations - Weapon Law Violations Exploiting Children 70 0.02\%
Weapon Law Violations - Weapon Law Violations Total 355,241 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseCrimeSubcategories)The number and percent of crime subtypes by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to three subtypes per offense; in this table we only use the first subtype.}\\ +\hline +Crime & Crime Subcategory & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseCrimeSubcategories)The number and percent of crime subtypes by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to three subtypes per offense; in this table we only use the first subtype. \textit{(continued)}}\\ +\hline +Crime & Crime Subcategory & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Animal Cruelty & Simple/Gross Neglect (Unintentionally, Intentionally, Or Knowingly Failing To Provide Food, Water, Shelter, Veterinary Care, Hoarding, Etc.) & 14,316 & 63.86\textbackslash{}\%\\ +\hline +Animal Cruelty & Intentional Abuse And Torture (Tormenting, Mutilating, Poisoning, Or Abandonment) & 7,470 & 33.32\textbackslash{}\%\\ +\hline +Animal Cruelty & Animal Sexual Abuse (Bestiality) & 368 & 1.64\textbackslash{}\%\\ +\hline +Animal Cruelty & Organized Abuse (Dog Fighting And Cock Fighting) & 264 & 1.18\textbackslash{}\%\\ +\hline +Animal Cruelty & Total & 22,418 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & None/Unknown Gang Involvement (Mutually Exclusive) & 335,384 & 55.42\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & None & 264,605 & 43.72\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Other Gang & 3,843 & 0.64\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Juvenile Gang Involvement & 1,327 & 0.22\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Total & 605,159 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & None/Unknown Gang Involvement (Mutually Exclusive) & 397,389 & 63.69\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & None & 223,830 & 35.87\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Other Gang & 2,002 & 0.32\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Juvenile Gang Involvement & 751 & 0.12\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Total & 623,972 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & None/Unknown Gang Involvement (Mutually Exclusive) & 1,076,203 & 55.61\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & None & 853,121 & 44.08\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Other Gang & 3,950 & 0.20\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Juvenile Gang Involvement & 2,043 & 0.11\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Total & 1,935,317 & 100\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Using/Consuming & 97 & 88.18\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Possessing/Concealing & 11 & 10.00\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Distributing/Selling & 2 & 1.82\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Total & 110 & 100\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Possessing/Concealing & 57,858 & 37.56\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Using/Consuming & 31,008 & 20.13\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 27,638 & 17.94\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Buying/Receiving & 24,471 & 15.89\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Distributing/Selling & 6,914 & 4.49\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Operating/Promoting/Assisting & 3,860 & 2.51\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Transporting/Transmitting/Importing & 2,212 & 1.44\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Exploiting Children & 65 & 0.04\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Total & 154,026 & 100\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Possessing/Concealing & 429,627 & 88.30\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Using/Consuming & 40,911 & 8.41\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Distributing/Selling & 7,951 & 1.63\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Buying/Receiving & 4,616 & 0.95\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Transporting/Transmitting/Importing & 1,356 & 0.28\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Operating/Promoting/Assisting & 1,111 & 0.23\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 983 & 0.20\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Exploiting Children & 23 & 0.00\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Total & 486,578 & 100\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Possessing/Concealing & 838,769 & 79.17\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Distributing/Selling & 96,581 & 9.12\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Using/Consuming & 90,430 & 8.54\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Buying/Receiving & 19,444 & 1.84\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Transporting/Transmitting/Importing & 6,409 & 0.60\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 5,260 & 0.50\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Operating/Promoting/Assisting & 2,449 & 0.23\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Exploiting Children & 110 & 0.01\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Total & 1,059,452 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Operating/Promoting/Assisting & 425 & 46.10\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Possessing/Concealing & 419 & 45.44\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Using/Consuming & 32 & 3.47\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Buying/Receiving & 28 & 3.04\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Distributing/Selling & 9 & 0.98\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 8 & 0.87\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Transporting/Transmitting/Importing & 1 & 0.11\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Total & 922 & 100\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & None/Unknown Gang Involvement (Mutually Exclusive) & 24,074 & 53.86\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & None & 20,397 & 45.64\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Other Gang & 187 & 0.42\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Juvenile Gang Involvement & 37 & 0.08\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Total & 44,695 & 100\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & None/Unknown Gang Involvement (Mutually Exclusive) & 8,129 & 54.70\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & None & 6,420 & 43.20\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Other Gang & 246 & 1.66\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Juvenile Gang Involvement & 66 & 0.44\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Total & 14,861 & 100\textbackslash{}\%\\ +\hline +Negligent Manslaughter & None/Unknown Gang Involvement (Mutually Exclusive) & 967 & 53.66\textbackslash{}\%\\ +\hline +Negligent Manslaughter & None & 827 & 45.89\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Other Gang & 6 & 0.33\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Juvenile Gang Involvement & 2 & 0.11\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Total & 1,802 & 100\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Exploiting Children & 14,059 & 30.96\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Possessing/Concealing & 12,448 & 27.41\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Distributing/Selling & 10,479 & 23.08\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 3,564 & 7.85\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Transporting/Transmitting/Importing & 1,864 & 4.10\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Operating/Promoting/Assisting & 1,145 & 2.52\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Buying/Receiving & 1,029 & 2.27\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Using/Consuming & 824 & 1.81\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Total & 45,412 & 100\textbackslash{}\%\\ +\hline +Robbery & None/Unknown Gang Involvement (Mutually Exclusive) & 109,362 & 61.03\textbackslash{}\%\\ +\hline +Robbery & None & 68,107 & 38.00\textbackslash{}\%\\ +\hline +Robbery & Other Gang & 1,093 & 0.61\textbackslash{}\%\\ +\hline +Robbery & Juvenile Gang Involvement & 644 & 0.36\textbackslash{}\%\\ +\hline +Robbery & Total & 179,206 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & None/Unknown Gang Involvement (Mutually Exclusive) & 44,827 & 52.10\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & None & 41,010 & 47.67\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Other Gang & 102 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Juvenile Gang Involvement & 95 & 0.11\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Total & 86,034 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & None/Unknown Gang Involvement (Mutually Exclusive) & 41,327 & 52.57\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & None & 37,050 & 47.13\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Other Gang & 176 & 0.22\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Juvenile Gang Involvement & 59 & 0.08\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Total & 78,612 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & None & 4,261 & 53.37\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & None/Unknown Gang Involvement (Mutually Exclusive) & 3,708 & 46.44\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Juvenile Gang Involvement & 9 & 0.11\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Other Gang & 6 & 0.08\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Total & 7,984 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & None/Unknown Gang Involvement (Mutually Exclusive) & 11,074 & 54.26\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & None & 9,285 & 45.49\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Other Gang & 30 & 0.15\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Juvenile Gang Involvement & 21 & 0.10\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Total & 20,410 & 100\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Possessing/Concealing & 107,218 & 78.66\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Buying/Receiving & 14,483 & 10.62\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Operating/Promoting/Assisting & 5,759 & 4.22\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Using/Consuming & 4,478 & 3.29\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Transporting/Transmitting/Importing & 2,313 & 1.70\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Distributing/Selling & 1,930 & 1.42\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 124 & 0.09\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Exploiting Children & 9 & 0.01\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Total & 136,314 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Possessing/Concealing & 1 & 100.00\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Total & 1 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Possessing/Concealing & 291,967 & 82.19\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Using/Consuming & 40,616 & 11.43\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Operating/Promoting/Assisting & 11,727 & 3.30\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Buying/Receiving & 4,204 & 1.18\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Distributing/Selling & 3,092 & 0.87\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Transporting/Transmitting/Importing & 2,672 & 0.75\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Cultivating/Manufacturing/Publishing (I.e., Production of Any Type) & 893 & 0.25\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Exploiting Children & 70 & 0.02\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Total & 355,241 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -12344,322 +6189,150 @@ Some offenses, such as simple and aggravated assault or homicide, are only label Table \@ref(tab:offensesCompleted) shows the percent of each crime category in 2022 NIBRS data that was completed or was only attempted. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offensesCompleted)The percent of crimes completed or attempted, by crime category.
Crime Category \% Completed % Attempted
Drug/Narcotic Offenses - Drug Equipment Violations 99.81 \% 0.19 \%
Drug/Narcotic Offenses - Drug/Narcotic Violations 99.62 \% 0.38 \%
Destruction/Damage/Vandalism of Property 99.37 \% 0.63 \%
Larceny/Theft Offenses - Theft From Building 99.31 \% 0.69 \%
Larceny/Theft Offenses - Pocket-Picking 98.94 \% 1.06 \%
Weapon Law Violations - Weapon Law Violations 98.93 \% 1.07 \%
Embezzlement 98.77 \% 1.23 \%
Larceny/Theft Offenses - All Other Larceny 98.77 \% 1.23 \%
Larceny/Theft Offenses - Shoplifting 98.77 \% 1.23 \%
Stolen Property Offenses (Receiving, Selling, Etc.) 98.69 \% 1.31 \%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 98.14 \% 1.86 \%
Larceny/Theft Offenses - Purse-Snatching 97.82 \% 2.18 \%
Sex Offenses - Sexual Assault With An Object 97.63 \% 2.37 \%
Animal Cruelty 97.4 \% 2.6 \%
Pornography/Obscene Material 97.32 \% 2.68 \%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) 97.23 \% 2.77 \%
Sex Offenses - Incest 97.04 \% 2.96 \%
Sex Offenses - Statutory Rape 96.98 \% 3.02 \%
Sex Offenses - Sodomy 96.56 \% 3.44 \%
Sex Offenses - Rape 96.48 \% 3.52 \%
Prostitution Offenses - Assisting Or Promoting Prostitution 95.76 \% 4.24 \%
Counterfeiting/Forgery 95.73 \% 4.27 \%
Fraud Offenses - Identity Theft 95.25 \% 4.75 \%
Kidnapping/Abduction 95.01 \% 4.99 \%
Arson 94.85 \% 5.15 \%
Prostitution Offenses - Prostitution 94.29 \% 5.71 \%
Fraud Offenses - Credit Card/Atm Fraud 93.64 \% 6.36 \%
Burglary/Breaking And Entering 93.39 \% 6.61 \%
Gambling Offenses - Gambling Equipment Violations 93.38 \% 6.62 \%
Fraud Offenses - False Pretenses/Swindle/Confidence Game 92.33 \% 7.67 \%
Fraud Offenses - Wire Fraud 92.26 \% 7.74 \%
Fraud Offenses - Impersonation 92.04 \% 7.96 \%
Fraud Offenses - Welfare Fraud 91.63 \% 8.37 \%
Human Trafficking - Involuntary Servitude 91.52 \% 8.48 \%
Human Trafficking - Commercial Sex Acts 91.38 \% 8.62 \%
Larceny/Theft Offenses - Theft From Motor Vehicle 91.27 \% 8.73 \%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device 91.15 \% 8.85 \%
Prostitution Offenses - Purchasing Prostitution 90.6 \% 9.4 \%
Robbery 90.2 \% 9.8 \%
Fraud Offenses - Hacking/Computer Invasion 89.43 \% 10.57 \%
Gambling Offenses - Operating/Promoting/Assisting Gambling 88.17 \% 11.83 \%
Motor Vehicle Theft 88.07 \% 11.93 \%
Gambling Offenses - Betting/Wagering 86.67 \% 13.33 \%
Commerce Violations - Federal Liquor Offenses 86.36 \% 13.64 \%
Bribery 80.67 \% 19.33 \%
Fugitive Offenses - Flight To Avoid Prosecution 71.56 \% 28.44 \%
Extortion/Blackmail 61.84 \% 38.16 \%
Gambling Offenses - Sports Tampering 57.14 \% 42.86 \%
Commerce Violations - Wildlife Trafficking 50 \% 50 \%
Assault Offenses - Aggravated Assault 100 \% 0 \%
Assault Offenses - Intimidation 100 \% 0 \%
Assault Offenses - Simple Assault 100 \% 0 \%
Commerce Violations - Federal Tobacco Offenses 100 \% 0 \%
Immigration Violations - Illegal Entry Into The United States 100 \% 0 \%
Justifiable Homicide - Not A Crime 100 \% 0 \%
Murder/Nonnegligent Manslaughter 100 \% 0 \%
Negligent Manslaughter 100 \% 0 \%
Sex Offenses - Failure To Register As A Sex Offender 100 \% 0 \%
Weapon Law Violations - Explosives 100 \% 0 \%
+ +\begin{longtable}[t]{l|l|r} +\caption{(\#tab:offensesCompleted)The percent of crimes completed or attempted, by crime category.}\\ +\hline +Crime Category & \textbackslash{}\% Completed & \% Attempted\\ +\hline +\endfirsthead +\caption[]{(\#tab:offensesCompleted)The percent of crimes completed or attempted, by crime category. \textit{(continued)}}\\ +\hline +Crime Category & \textbackslash{}\% Completed & \% Attempted\\ +\hline +\endhead +Drug/Narcotic Offenses - Drug Equipment Violations & 99.81 \textbackslash{}\% & 0.19 \textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & 99.62 \textbackslash{}\% & 0.38 \textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & 99.37 \textbackslash{}\% & 0.63 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & 99.31 \textbackslash{}\% & 0.69 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & 98.94 \textbackslash{}\% & 1.06 \textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & 98.93 \textbackslash{}\% & 1.07 \textbackslash{}\%\\ +\hline +Embezzlement & 98.77 \textbackslash{}\% & 1.23 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & 98.77 \textbackslash{}\% & 1.23 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & 98.77 \textbackslash{}\% & 1.23 \textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & 98.69 \textbackslash{}\% & 1.31 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 98.14 \textbackslash{}\% & 1.86 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & 97.82 \textbackslash{}\% & 2.18 \textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & 97.63 \textbackslash{}\% & 2.37 \textbackslash{}\%\\ +\hline +Animal Cruelty & 97.4 \textbackslash{}\% & 2.6 \textbackslash{}\%\\ +\hline +Pornography/Obscene Material & 97.32 \textbackslash{}\% & 2.68 \textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & 97.23 \textbackslash{}\% & 2.77 \textbackslash{}\%\\ +\hline +Sex Offenses - Incest & 97.04 \textbackslash{}\% & 2.96 \textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & 96.98 \textbackslash{}\% & 3.02 \textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & 96.56 \textbackslash{}\% & 3.44 \textbackslash{}\%\\ +\hline +Sex Offenses - Rape & 96.48 \textbackslash{}\% & 3.52 \textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & 95.76 \textbackslash{}\% & 4.24 \textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & 95.73 \textbackslash{}\% & 4.27 \textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & 95.25 \textbackslash{}\% & 4.75 \textbackslash{}\%\\ +\hline +Kidnapping/Abduction & 95.01 \textbackslash{}\% & 4.99 \textbackslash{}\%\\ +\hline +Arson & 94.85 \textbackslash{}\% & 5.15 \textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & 94.29 \textbackslash{}\% & 5.71 \textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & 93.64 \textbackslash{}\% & 6.36 \textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & 93.39 \textbackslash{}\% & 6.61 \textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & 93.38 \textbackslash{}\% & 6.62 \textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & 92.33 \textbackslash{}\% & 7.67 \textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & 92.26 \textbackslash{}\% & 7.74 \textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & 92.04 \textbackslash{}\% & 7.96 \textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & 91.63 \textbackslash{}\% & 8.37 \textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & 91.52 \textbackslash{}\% & 8.48 \textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & 91.38 \textbackslash{}\% & 8.62 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & 91.27 \textbackslash{}\% & 8.73 \textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & 91.15 \textbackslash{}\% & 8.85 \textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & 90.6 \textbackslash{}\% & 9.4 \textbackslash{}\%\\ +\hline +Robbery & 90.2 \textbackslash{}\% & 9.8 \textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & 89.43 \textbackslash{}\% & 10.57 \textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & 88.17 \textbackslash{}\% & 11.83 \textbackslash{}\%\\ +\hline +Motor Vehicle Theft & 88.07 \textbackslash{}\% & 11.93 \textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & 86.67 \textbackslash{}\% & 13.33 \textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & 86.36 \textbackslash{}\% & 13.64 \textbackslash{}\%\\ +\hline +Bribery & 80.67 \textbackslash{}\% & 19.33 \textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & 71.56 \textbackslash{}\% & 28.44 \textbackslash{}\%\\ +\hline +Extortion/Blackmail & 61.84 \textbackslash{}\% & 38.16 \textbackslash{}\%\\ +\hline +Gambling Offenses - Sports Tampering & 57.14 \textbackslash{}\% & 42.86 \textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & 50 \textbackslash{}\% & 50 \textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Commerce Violations - Federal Tobacco Offenses & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Immigration Violations - Illegal Entry Into The United States & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Negligent Manslaughter & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & 100 \textbackslash{}\% & 0 \textbackslash{}\%\\ +\hline +\end{longtable} In Figure \@ref(fig:nibrsOffenseCompleted) we see the share of all offenses per year that are reported as completed. In every year we have data nearly all offenses were reported as being completed. -
-The annual percent of offenses reported as completed, 1991-2023. -

(\#fig:nibrsOffenseCompleted)The annual percent of offenses reported as completed, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/nibrsOffenseCompleted-1} + +} + +\caption{The annual percent of offenses reported as completed, 1991-2023.}(\#fig:nibrsOffenseCompleted) +\end{figure} ## Drug, alcohol, or computer use @@ -12669,17 +6342,25 @@ For each offense there are three variables about usage of any of these so potent Figure \@ref(fig:offenseDrugAlcoholComputer) shows the distribution is suspected usage for all offenses in 2019 NIBRS. This is just from the first suspected use variable for simplicity of the graph. The most common outcome is "Not Applicable" at 89% of offenses. Not Applicable actually just means that the offender was not suspected of using drugs, alcohol, or computer equipment. -
-The distribution of drug, alcohol, or computer use for all offenses in 2022 -

(\#fig:offenseDrugAlcoholComputer)The distribution of drug, alcohol, or computer use for all offenses in 2022

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/offenseDrugAlcoholComputer-1} + +} + +\caption{The distribution of drug, alcohol, or computer use for all offenses in 2022}(\#fig:offenseDrugAlcoholComputer) +\end{figure} Figure \@ref(fig:offenseDrugAlcoholComputerAny) shows the distribution of suspected use when excluding "Not Applicable." Drug usage is the most common thing offenders are suspected of using. In about 61% of offenses where the offender is suspected of using something (of the drugs, alcohol, or "computer equipment" choices), that something is drugs. Again, we do not know what type of drug was used, only that it was not alcohol. Alcohol follows at 30% while computer equipment is only 6%. -
-The distribution of drug, alcohol, or computer use for offenses where there was usage of one of these items. For easier viewing of how this variable is distributed, this figure excludes all offenses where there was no drug, alcohol, or computer use or the variable was NA. -

(\#fig:offenseDrugAlcoholComputerAny)The distribution of drug, alcohol, or computer use for offenses where there was usage of one of these items. For easier viewing of how this variable is distributed, this figure excludes all offenses where there was no drug, alcohol, or computer use or the variable was NA.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/offenseDrugAlcoholComputerAny-1} + +} + +\caption{The distribution of drug, alcohol, or computer use for offenses where there was usage of one of these items. For easier viewing of how this variable is distributed, this figure excludes all offenses where there was no drug, alcohol, or computer use or the variable was NA.}(\#fig:offenseDrugAlcoholComputerAny) +\end{figure} ## Crime location @@ -12689,2251 +6370,775 @@ The most common place for a crime to occur is in someone's own home, at 38% of o Incidents can involve multiple offenses but would likely - though not always - occur in the same location. So if certain locations are more likely to have multiple offenses in that incident then we could be counting those locations more often. That may be okay, if what you're really interested in is data at the offense-level rather than the more commonly used incident-level. But it is important to be careful in making sure you are measuring the data right and presenting results clearly. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseLocation)The location of crimes for all offenses reported in 2022.
Crime Location First Year \# of Offenses \% of Offenses
Residence/Home 1991 5,183,989 37.04\%
Highway/Road/Alley/Street/Sidewalk 1991 2,485,451 17.76\%
Parking Lot/Drop Lot/Parking Garage 1991 1,278,600 9.14\%
Other/Unknown 1991 699,834 5.00\%
Department/Discount Store 1991 591,328 4.23\%
Grocery/Supermarket 1991 322,997 2.31\%
Specialty Store (Tv, Fur, Etc.) 1991 320,153 2.29\%
Convenience Store 1991 305,186 2.18\%
Commercial/Office Building 1991 297,968 2.13\%
School - Elementary/Secondary 2009 255,924 1.83\%
Restaurant 1991 223,297 1.60\%
Hotel/Motel/Etc. 1991 218,343 1.56\%
Service/Gas Station 1991 191,290 1.37\%
Drug Store/Doctors Office/Hospital 1991 172,748 1.23\%
Cyberspace 2015 151,576 1.08\%
Bank/Savings And Loan 1991 128,019 0.91\%
Park/Playground 2010 126,604 0.90\%
Government/Public Building 1991 95,696 0.68\%
Bar/Nightclub 1991 93,809 0.67\%
Rental Storage Facility 1991 82,604 0.59\%
Shopping Mall 2009 82,576 0.59\%
School - College/University 2009 76,897 0.55\%
Jail/Prison/Penitentiary/Corrections Facility 1991 73,706 0.53\%
Construction Site 1991 70,901 0.51\%
Air/Bus/Train Terminal 1991 70,663 0.50\%
Field/Woods 1991 55,871 0.40\%
Church/Synagogue/Temple/Mosque 1991 41,987 0.30\%
Auto Dealership New/Used 2009 40,016 0.29\%
Liquor Store 1991 36,738 0.26\%
Gambling Facility/Casino/Race Track 2009 32,447 0.23\%
School/College 1991 28,906 0.21\%
Shelter - Mission/Homeless 2010 23,112 0.17\%
Industrial Site 2009 22,293 0.16\%
Community Center 2012 16,542 0.12\%
Camp/Campground 2009 12,038 0.09\%
Arena/Stadium/Fairgrounds/Coliseum 2009 10,773 0.08\%
Lake/Waterway/Beach 1991 10,345 0.07\%
Atm Separate From Bank 2009 10,337 0.07\%
Abandoned/Condemned Structure 2010 10,048 0.07\%
Farm Facility 2009 9,731 0.07\%
Amusement Park 2010 8,171 0.06\%
Daycare Facility 2009 7,806 0.06\%
Dock/Wharf/Freight/Modal Terminal 2009 7,189 0.05\%
Tribal Lands 2011 5,193 0.04\%
Rest Area 2009 3,773 0.03\%
Military Installation 2010 861 0.01\%
Total - 13,994,336 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseLocation)The location of crimes for all offenses reported in 2022.}\\ +\hline +Crime Location & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseLocation)The location of crimes for all offenses reported in 2022. \textit{(continued)}}\\ +\hline +Crime Location & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Residence/Home & 1991 & 5,183,989 & 37.04\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & 1991 & 2,485,451 & 17.76\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & 1991 & 1,278,600 & 9.14\textbackslash{}\%\\ +\hline +Other/Unknown & 1991 & 699,834 & 5.00\textbackslash{}\%\\ +\hline +Department/Discount Store & 1991 & 591,328 & 4.23\textbackslash{}\%\\ +\hline +Grocery/Supermarket & 1991 & 322,997 & 2.31\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & 1991 & 320,153 & 2.29\textbackslash{}\%\\ +\hline +Convenience Store & 1991 & 305,186 & 2.18\textbackslash{}\%\\ +\hline +Commercial/Office Building & 1991 & 297,968 & 2.13\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & 2009 & 255,924 & 1.83\textbackslash{}\%\\ +\hline +Restaurant & 1991 & 223,297 & 1.60\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & 1991 & 218,343 & 1.56\textbackslash{}\%\\ +\hline +Service/Gas Station & 1991 & 191,290 & 1.37\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & 1991 & 172,748 & 1.23\textbackslash{}\%\\ +\hline +Cyberspace & 2015 & 151,576 & 1.08\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & 1991 & 128,019 & 0.91\textbackslash{}\%\\ +\hline +Park/Playground & 2010 & 126,604 & 0.90\textbackslash{}\%\\ +\hline +Government/Public Building & 1991 & 95,696 & 0.68\textbackslash{}\%\\ +\hline +Bar/Nightclub & 1991 & 93,809 & 0.67\textbackslash{}\%\\ +\hline +Rental Storage Facility & 1991 & 82,604 & 0.59\textbackslash{}\%\\ +\hline +Shopping Mall & 2009 & 82,576 & 0.59\textbackslash{}\%\\ +\hline +School - College/University & 2009 & 76,897 & 0.55\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & 1991 & 73,706 & 0.53\textbackslash{}\%\\ +\hline +Construction Site & 1991 & 70,901 & 0.51\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & 1991 & 70,663 & 0.50\textbackslash{}\%\\ +\hline +Field/Woods & 1991 & 55,871 & 0.40\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & 1991 & 41,987 & 0.30\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & 2009 & 40,016 & 0.29\textbackslash{}\%\\ +\hline +Liquor Store & 1991 & 36,738 & 0.26\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & 2009 & 32,447 & 0.23\textbackslash{}\%\\ +\hline +School/College & 1991 & 28,906 & 0.21\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & 2010 & 23,112 & 0.17\textbackslash{}\%\\ +\hline +Industrial Site & 2009 & 22,293 & 0.16\textbackslash{}\%\\ +\hline +Community Center & 2012 & 16,542 & 0.12\textbackslash{}\%\\ +\hline +Camp/Campground & 2009 & 12,038 & 0.09\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & 2009 & 10,773 & 0.08\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & 1991 & 10,345 & 0.07\textbackslash{}\%\\ +\hline +Atm Separate From Bank & 2009 & 10,337 & 0.07\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & 2010 & 10,048 & 0.07\textbackslash{}\%\\ +\hline +Farm Facility & 2009 & 9,731 & 0.07\textbackslash{}\%\\ +\hline +Amusement Park & 2010 & 8,171 & 0.06\textbackslash{}\%\\ +\hline +Daycare Facility & 2009 & 7,806 & 0.06\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & 2009 & 7,189 & 0.05\textbackslash{}\%\\ +\hline +Tribal Lands & 2011 & 5,193 & 0.04\textbackslash{}\%\\ +\hline +Rest Area & 2009 & 3,773 & 0.03\textbackslash{}\%\\ +\hline +Military Installation & 2010 & 861 & 0.01\textbackslash{}\%\\ +\hline +Total & - & 13,994,336 & 100\textbackslash{}\%\\ +\hline +\end{longtable} Keep in mind that some locations may be an overly specific location that fits well into a broader category that you are interested in. For example, if you care about crimes that happen in stores you would look at "Bank/Savings and Loan", "Restaurant", "Bar/Nightclub," among other locations, which combined have a lot more offenses than any one individually. This is a recurring theme of NIBRS data - you have a lot of data and some of it is so specific that you need to do extra work to aggregate data into units you want. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseLocation)The most common offenses for each crime location, 2023.
Crime Location Offense \# of Offenses \# of Offenses
Abandoned/Condemned Structure Destruction/Damage/Vandalism of Property 2,515 25.03\%
Abandoned/Condemned Structure Burglary/Breaking And Entering 2,088 20.78\%
Abandoned/Condemned Structure Drug/Narcotic Offenses - Drug/Narcotic Violations 888 8.84\%
Abandoned/Condemned Structure Larceny/Theft Offenses - All Other Larceny 775 7.71\%
Abandoned/Condemned Structure Drug/Narcotic Offenses - Drug Equipment Violations 673 6.70\%
Abandoned/Condemned Structure All Other 3,109 30.97\%
Abandoned/Condemned Structure Total 10,048 100\%
Air/Bus/Train Terminal Larceny/Theft Offenses - All Other Larceny 13,978 19.78\%
Air/Bus/Train Terminal Assault Offenses - Simple Assault 10,822 15.31\%
Air/Bus/Train Terminal Drug/Narcotic Offenses - Drug/Narcotic Violations 7,294 10.32\%
Air/Bus/Train Terminal Destruction/Damage/Vandalism of Property 6,794 9.61\%
Air/Bus/Train Terminal Weapon Law Violations - Weapon Law Violations 5,343 7.56\%
Air/Bus/Train Terminal All Other 26,432 37.39\%
Air/Bus/Train Terminal Total 70,663 100\%
Amusement Park Larceny/Theft Offenses - All Other Larceny 1,717 21.01\%
Amusement Park Assault Offenses - Simple Assault 1,596 19.53\%
Amusement Park Destruction/Damage/Vandalism of Property 644 7.88\%
Amusement Park Larceny/Theft Offenses - Theft From Building 535 6.55\%
Amusement Park Drug/Narcotic Offenses - Drug/Narcotic Violations 518 6.34\%
Amusement Park All Other 3,161 38.7\%
Amusement Park Total 8,171 100\%
Arena/Stadium/Fairgrounds/Coliseum Assault Offenses - Simple Assault 2,780 25.81\%
Arena/Stadium/Fairgrounds/Coliseum Larceny/Theft Offenses - All Other Larceny 1,964 18.23\%
Arena/Stadium/Fairgrounds/Coliseum Destruction/Damage/Vandalism of Property 1,049 9.74\%
Arena/Stadium/Fairgrounds/Coliseum Larceny/Theft Offenses - Theft From Building 624 5.79\%
Arena/Stadium/Fairgrounds/Coliseum Larceny/Theft Offenses - Theft From Motor Vehicle 539 5.00\%
Arena/Stadium/Fairgrounds/Coliseum All Other 3,817 35.42\%
Arena/Stadium/Fairgrounds/Coliseum Total 10,773 100\%
Atm Separate From Bank Fraud Offenses - Credit Card/Atm Fraud 3,239 31.33\%
Atm Separate From Bank Larceny/Theft Offenses - All Other Larceny 1,717 16.61\%
Atm Separate From Bank Fraud Offenses - False Pretenses/Swindle/Confidence Game 1,452 14.05\%
Atm Separate From Bank Destruction/Damage/Vandalism of Property 707 6.84\%
Atm Separate From Bank Fraud Offenses - Identity Theft 653 6.32\%
Atm Separate From Bank All Other 2,569 24.88\%
Atm Separate From Bank Total 10,337 100\%
Auto Dealership New/Used Motor Vehicle Theft 11,146 27.85\%
Auto Dealership New/Used Destruction/Damage/Vandalism of Property 4,947 12.36\%
Auto Dealership New/Used Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 3,745 9.36\%
Auto Dealership New/Used Fraud Offenses - False Pretenses/Swindle/Confidence Game 3,474 8.68\%
Auto Dealership New/Used Larceny/Theft Offenses - All Other Larceny 3,323 8.30\%
Auto Dealership New/Used All Other 13,381 33.36\%
Auto Dealership New/Used Total 40,016 100\%
Bank/Savings And Loan Counterfeiting/Forgery 32,504 25.39\%
Bank/Savings And Loan Fraud Offenses - False Pretenses/Swindle/Confidence Game 26,367 20.60\%
Bank/Savings And Loan Larceny/Theft Offenses - All Other Larceny 16,303 12.74\%
Bank/Savings And Loan Fraud Offenses - Identity Theft 14,902 11.64\%
Bank/Savings And Loan Fraud Offenses - Credit Card/Atm Fraud 10,228 7.99\%
Bank/Savings And Loan All Other 27,713 21.63\%
Bank/Savings And Loan Total 128,017 100\%
Bar/Nightclub Assault Offenses - Simple Assault 29,599 31.55\%
Bar/Nightclub Larceny/Theft Offenses - All Other Larceny 11,411 12.16\%
Bar/Nightclub Assault Offenses - Aggravated Assault 8,895 9.48\%
Bar/Nightclub Destruction/Damage/Vandalism of Property 8,116 8.65\%
Bar/Nightclub Larceny/Theft Offenses - Theft From Building 4,592 4.90\%
Bar/Nightclub All Other 31,194 33.24\%
Bar/Nightclub Total 93,807 100\%
Camp/Campground Larceny/Theft Offenses - All Other Larceny 2,354 19.55\%
Camp/Campground Assault Offenses - Simple Assault 2,183 18.13\%
Camp/Campground Destruction/Damage/Vandalism of Property 1,633 13.57\%
Camp/Campground Assault Offenses - Aggravated Assault 823 6.84\%
Camp/Campground Larceny/Theft Offenses - Theft From Motor Vehicle 733 6.09\%
Camp/Campground All Other 4,312 35.84\%
Camp/Campground Total 12,038 100\%
Church/Synagogue/Temple/Mosque Destruction/Damage/Vandalism of Property 12,249 29.17\%
Church/Synagogue/Temple/Mosque Burglary/Breaking And Entering 6,579 15.67\%
Church/Synagogue/Temple/Mosque Larceny/Theft Offenses - All Other Larceny 5,513 13.13\%
Church/Synagogue/Temple/Mosque Assault Offenses - Simple Assault 2,692 6.41\%
Church/Synagogue/Temple/Mosque Larceny/Theft Offenses - Theft From Motor Vehicle 2,220 5.29\%
Church/Synagogue/Temple/Mosque All Other 12,732 30.27\%
Church/Synagogue/Temple/Mosque Total 41,985 100\%
Commercial/Office Building Destruction/Damage/Vandalism of Property 52,381 17.58\%
Commercial/Office Building Larceny/Theft Offenses - All Other Larceny 47,767 16.03\%
Commercial/Office Building Burglary/Breaking And Entering 42,551 14.28\%
Commercial/Office Building Motor Vehicle Theft 16,307 5.47\%
Commercial/Office Building Larceny/Theft Offenses - Shoplifting 16,277 5.46\%
Commercial/Office Building All Other 122,678 41.17\%
Commercial/Office Building Total 297,961 100\%
Community Center Larceny/Theft Offenses - All Other Larceny 3,245 19.62\%
Community Center Destruction/Damage/Vandalism of Property 2,882 17.42\%
Community Center Assault Offenses - Simple Assault 2,468 14.92\%
Community Center Larceny/Theft Offenses - Theft From Building 1,855 11.21\%
Community Center Burglary/Breaking And Entering 1,135 6.86\%
Community Center All Other 4,957 29.97\%
Community Center Total 16,542 100\%
Construction Site Larceny/Theft Offenses - All Other Larceny 29,510 41.62\%
Construction Site Burglary/Breaking And Entering 12,990 18.32\%
Construction Site Destruction/Damage/Vandalism of Property 10,942 15.43\%
Construction Site Larceny/Theft Offenses - Theft From Building 3,756 5.30\%
Construction Site Motor Vehicle Theft 2,606 3.68\%
Construction Site All Other 11,097 15.65\%
Construction Site Total 70,901 100\%
Convenience Store Larceny/Theft Offenses - Shoplifting 104,229 34.15\%
Convenience Store Larceny/Theft Offenses - All Other Larceny 35,883 11.76\%
Convenience Store Assault Offenses - Simple Assault 20,831 6.83\%
Convenience Store Drug/Narcotic Offenses - Drug/Narcotic Violations 17,963 5.89\%
Convenience Store Destruction/Damage/Vandalism of Property 16,685 5.47\%
Convenience Store All Other 109,593 35.89\%
Convenience Store Total 305,184 100\%
Cyberspace Fraud Offenses - False Pretenses/Swindle/Confidence Game 36,262 23.92\%
Cyberspace Fraud Offenses - Identity Theft 31,022 20.47\%
Cyberspace Assault Offenses - Intimidation 20,660 13.63\%
Cyberspace Fraud Offenses - Credit Card/Atm Fraud 16,030 10.58\%
Cyberspace Fraud Offenses - Wire Fraud 14,962 9.87\%
Cyberspace All Other 32,640 21.56\%
Cyberspace Total 151,576 100\%
Daycare Facility Assault Offenses - Simple Assault 2,274 29.13\%
Daycare Facility Destruction/Damage/Vandalism of Property 1,036 13.27\%
Daycare Facility Larceny/Theft Offenses - Theft From Motor Vehicle 643 8.24\%
Daycare Facility Larceny/Theft Offenses - All Other Larceny 639 8.19\%
Daycare Facility Burglary/Breaking And Entering 625 8.01\%
Daycare Facility All Other 2,589 33.16\%
Daycare Facility Total 7,806 100\%
Department/Discount Store Larceny/Theft Offenses - Shoplifting 363,609 61.49\%
Department/Discount Store Larceny/Theft Offenses - All Other Larceny 57,555 9.73\%
Department/Discount Store Fraud Offenses - False Pretenses/Swindle/Confidence Game 20,310 3.43\%
Department/Discount Store Fraud Offenses - Credit Card/Atm Fraud 17,512 2.96\%
Department/Discount Store Larceny/Theft Offenses - Theft From Building 14,336 2.42\%
Department/Discount Store All Other 118,006 19.93\%
Department/Discount Store Total 591,328 100\%
Dock/Wharf/Freight/Modal Terminal Larceny/Theft Offenses - All Other Larceny 1,733 24.11\%
Dock/Wharf/Freight/Modal Terminal Drug/Narcotic Offenses - Drug/Narcotic Violations 1,436 19.97\%
Dock/Wharf/Freight/Modal Terminal Destruction/Damage/Vandalism of Property 688 9.57\%
Dock/Wharf/Freight/Modal Terminal Assault Offenses - Simple Assault 682 9.49\%
Dock/Wharf/Freight/Modal Terminal Burglary/Breaking And Entering 407 5.66\%
Dock/Wharf/Freight/Modal Terminal All Other 2,243 31.2\%
Dock/Wharf/Freight/Modal Terminal Total 7,189 100\%
Drug Store/Doctors Office/Hospital Larceny/Theft Offenses - Shoplifting 41,385 23.96\%
Drug Store/Doctors Office/Hospital Assault Offenses - Simple Assault 38,541 22.31\%
Drug Store/Doctors Office/Hospital Larceny/Theft Offenses - All Other Larceny 14,910 8.63\%
Drug Store/Doctors Office/Hospital Destruction/Damage/Vandalism of Property 11,582 6.70\%
Drug Store/Doctors Office/Hospital Assault Offenses - Intimidation 9,249 5.35\%
Drug Store/Doctors Office/Hospital All Other 57,079 33.04\%
Drug Store/Doctors Office/Hospital Total 172,746 100\%
Farm Facility Larceny/Theft Offenses - All Other Larceny 2,695 27.69\%
Farm Facility Burglary/Breaking And Entering 1,749 17.97\%
Farm Facility Destruction/Damage/Vandalism of Property 1,645 16.90\%
Farm Facility Motor Vehicle Theft 983 10.10\%
Farm Facility Larceny/Theft Offenses - Theft From Building 466 4.79\%
Farm Facility All Other 2,193 22.52\%
Farm Facility Total 9,731 100\%
Field/Woods Larceny/Theft Offenses - All Other Larceny 12,087 21.63\%
Field/Woods Destruction/Damage/Vandalism of Property 9,031 16.16\%
Field/Woods Drug/Narcotic Offenses - Drug/Narcotic Violations 5,293 9.47\%
Field/Woods Assault Offenses - Simple Assault 5,032 9.01\%
Field/Woods Motor Vehicle Theft 3,257 5.83\%
Field/Woods All Other 21,170 37.91\%
Field/Woods Total 55,870 100\%
Gambling Facility/Casino/Race Track Larceny/Theft Offenses - All Other Larceny 6,001 18.49\%
Gambling Facility/Casino/Race Track Drug/Narcotic Offenses - Drug/Narcotic Violations 4,170 12.85\%
Gambling Facility/Casino/Race Track Assault Offenses - Simple Assault 3,713 11.44\%
Gambling Facility/Casino/Race Track Larceny/Theft Offenses - Theft From Building 2,858 8.81\%
Gambling Facility/Casino/Race Track Counterfeiting/Forgery 1,961 6.04\%
Gambling Facility/Casino/Race Track All Other 13,744 42.36\%
Gambling Facility/Casino/Race Track Total 32,447 100\%
Government/Public Building Destruction/Damage/Vandalism of Property 14,995 15.67\%
Government/Public Building Larceny/Theft Offenses - All Other Larceny 12,550 13.11\%
Government/Public Building Assault Offenses - Simple Assault 11,560 12.08\%
Government/Public Building Drug/Narcotic Offenses - Drug/Narcotic Violations 9,040 9.45\%
Government/Public Building Assault Offenses - Intimidation 7,485 7.82\%
Government/Public Building All Other 40,064 41.86\%
Government/Public Building Total 95,694 100\%
Grocery/Supermarket Larceny/Theft Offenses - Shoplifting 168,193 52.07\%
Grocery/Supermarket Larceny/Theft Offenses - All Other Larceny 42,608 13.19\%
Grocery/Supermarket Assault Offenses - Simple Assault 12,831 3.97\%
Grocery/Supermarket Fraud Offenses - Credit Card/Atm Fraud 10,724 3.32\%
Grocery/Supermarket Fraud Offenses - False Pretenses/Swindle/Confidence Game 9,126 2.83\%
Grocery/Supermarket All Other 79,509 24.62\%
Grocery/Supermarket Total 322,991 100\%
Highway/Road/Alley/Street/Sidewalk Drug/Narcotic Offenses - Drug/Narcotic Violations 562,590 22.64\%
Highway/Road/Alley/Street/Sidewalk Destruction/Damage/Vandalism of Property 283,207 11.39\%
Highway/Road/Alley/Street/Sidewalk Drug/Narcotic Offenses - Drug Equipment Violations 264,734 10.65\%
Highway/Road/Alley/Street/Sidewalk Motor Vehicle Theft 255,631 10.29\%
Highway/Road/Alley/Street/Sidewalk Assault Offenses - Simple Assault 206,086 8.29\%
Highway/Road/Alley/Street/Sidewalk All Other 913,163 36.78\%
Highway/Road/Alley/Street/Sidewalk Total 2,485,411 100\%
Hotel/Motel/Etc. Assault Offenses - Simple Assault 38,480 17.62\%
Hotel/Motel/Etc. Larceny/Theft Offenses - All Other Larceny 22,401 10.26\%
Hotel/Motel/Etc. Destruction/Damage/Vandalism of Property 21,998 10.08\%
Hotel/Motel/Etc. Drug/Narcotic Offenses - Drug/Narcotic Violations 20,281 9.29\%
Hotel/Motel/Etc. Larceny/Theft Offenses - Theft From Motor Vehicle 19,255 8.82\%
Hotel/Motel/Etc. All Other 95,927 43.97\%
Hotel/Motel/Etc. Total 218,342 100\%
Industrial Site Larceny/Theft Offenses - All Other Larceny 5,921 26.56\%
Industrial Site Destruction/Damage/Vandalism of Property 3,870 17.36\%
Industrial Site Burglary/Breaking And Entering 3,173 14.23\%
Industrial Site Assault Offenses - Simple Assault 1,399 6.28\%
Industrial Site Motor Vehicle Theft 1,277 5.73\%
Industrial Site All Other 6,652 29.79\%
Industrial Site Total 22,292 100\%
Jail/Prison/Penitentiary/Corrections Facility Assault Offenses - Simple Assault 29,336 39.80\%
Jail/Prison/Penitentiary/Corrections Facility Drug/Narcotic Offenses - Drug/Narcotic Violations 18,588 25.22\%
Jail/Prison/Penitentiary/Corrections Facility Assault Offenses - Aggravated Assault 6,797 9.22\%
Jail/Prison/Penitentiary/Corrections Facility Destruction/Damage/Vandalism of Property 6,036 8.19\%
Jail/Prison/Penitentiary/Corrections Facility Assault Offenses - Intimidation 2,886 3.92\%
Jail/Prison/Penitentiary/Corrections Facility All Other 10,063 13.68\%
Jail/Prison/Penitentiary/Corrections Facility Total 73,706 100\%
Lake/Waterway/Beach Larceny/Theft Offenses - All Other Larceny 2,870 27.74\%
Lake/Waterway/Beach Assault Offenses - Simple Assault 1,335 12.90\%
Lake/Waterway/Beach Destruction/Damage/Vandalism of Property 1,235 11.94\%
Lake/Waterway/Beach Drug/Narcotic Offenses - Drug/Narcotic Violations 956 9.24\%
Lake/Waterway/Beach Larceny/Theft Offenses - Theft From Motor Vehicle 699 6.76\%
Lake/Waterway/Beach All Other 3,250 31.39\%
Lake/Waterway/Beach Total 10,345 100\%
Liquor Store Larceny/Theft Offenses - Shoplifting 19,689 53.60\%
Liquor Store Burglary/Breaking And Entering 2,453 6.68\%
Liquor Store Larceny/Theft Offenses - All Other Larceny 2,420 6.59\%
Liquor Store Destruction/Damage/Vandalism of Property 2,221 6.05\%
Liquor Store Assault Offenses - Simple Assault 1,554 4.23\%
Liquor Store All Other 8,399 22.82\%
Liquor Store Total 36,736 100\%
Military Installation Larceny/Theft Offenses - All Other Larceny 186 21.60\%
Military Installation Destruction/Damage/Vandalism of Property 95 11.03\%
Military Installation Assault Offenses - Simple Assault 80 9.29\%
Military Installation Assault Offenses - Intimidation 76 8.83\%
Military Installation Burglary/Breaking And Entering 45 5.23\%
Military Installation All Other 379 44.04\%
Military Installation Total 861 100\%
Other/Unknown Larceny/Theft Offenses - All Other Larceny 115,019 16.44\%
Other/Unknown Destruction/Damage/Vandalism of Property 73,195 10.46\%
Other/Unknown Assault Offenses - Simple Assault 56,187 8.03\%
Other/Unknown Larceny/Theft Offenses - Shoplifting 45,609 6.52\%
Other/Unknown Assault Offenses - Intimidation 36,283 5.18\%
Other/Unknown All Other 373,527 53.37\%
Other/Unknown Total 699,820 100\%
Park/Playground Destruction/Damage/Vandalism of Property 27,650 21.84\%
Park/Playground Assault Offenses - Simple Assault 19,055 15.05\%
Park/Playground Larceny/Theft Offenses - All Other Larceny 13,991 11.05\%
Park/Playground Drug/Narcotic Offenses - Drug/Narcotic Violations 13,094 10.34\%
Park/Playground Larceny/Theft Offenses - Theft From Motor Vehicle 10,678 8.43\%
Park/Playground All Other 42,136 33.28\%
Park/Playground Total 126,604 100\%
Parking Lot/Drop Lot/Parking Garage Larceny/Theft Offenses - Theft From Motor Vehicle 273,500 21.39\%
Parking Lot/Drop Lot/Parking Garage Destruction/Damage/Vandalism of Property 247,701 19.37\%
Parking Lot/Drop Lot/Parking Garage Motor Vehicle Theft 213,331 16.69\%
Parking Lot/Drop Lot/Parking Garage Drug/Narcotic Offenses - Drug/Narcotic Violations 86,283 6.75\%
Parking Lot/Drop Lot/Parking Garage Larceny/Theft Offenses - All Other Larceny 83,482 6.53\%
Parking Lot/Drop Lot/Parking Garage All Other 374,266 29.23\%
Parking Lot/Drop Lot/Parking Garage Total 1,278,563 100\%
Rental Storage Facility Burglary/Breaking And Entering 38,005 46.01\%
Rental Storage Facility Destruction/Damage/Vandalism of Property 11,438 13.85\%
Rental Storage Facility Larceny/Theft Offenses - All Other Larceny 9,848 11.92\%
Rental Storage Facility Motor Vehicle Theft 4,787 5.80\%
Rental Storage Facility Larceny/Theft Offenses - Theft From Building 4,275 5.18\%
Rental Storage Facility All Other 14,250 17.26\%
Rental Storage Facility Total 82,603 100\%
Residence/Home Assault Offenses - Simple Assault 1,149,864 22.18\%
Residence/Home Destruction/Damage/Vandalism of Property 680,051 13.12\%
Residence/Home Larceny/Theft Offenses - All Other Larceny 579,384 11.18\%
Residence/Home Burglary/Breaking And Entering 383,775 7.40\%
Residence/Home Assault Offenses - Intimidation 346,951 6.69\%
Residence/Home All Other 2,043,859 39.43\%
Residence/Home Total 5,183,884 100\%
Rest Area Destruction/Damage/Vandalism of Property 643 17.04\%
Rest Area Larceny/Theft Offenses - All Other Larceny 541 14.34\%
Rest Area Assault Offenses - Simple Assault 530 14.05\%
Rest Area Drug/Narcotic Offenses - Drug/Narcotic Violations 357 9.46\%
Rest Area Larceny/Theft Offenses - Theft From Motor Vehicle 277 7.34\%
Rest Area All Other 1,425 37.78\%
Rest Area Total 3,773 100\%
Restaurant Larceny/Theft Offenses - All Other Larceny 33,432 14.97\%
Restaurant Assault Offenses - Simple Assault 31,827 14.25\%
Restaurant Destruction/Damage/Vandalism of Property 27,812 12.46\%
Restaurant Burglary/Breaking And Entering 23,384 10.47\%
Restaurant Larceny/Theft Offenses - Theft From Building 13,008 5.83\%
Restaurant All Other 93,831 42.01\%
Restaurant Total 223,294 100\%
School - College/University Larceny/Theft Offenses - All Other Larceny 16,802 21.85\%
School - College/University Destruction/Damage/Vandalism of Property 13,211 17.18\%
School - College/University Assault Offenses - Simple Assault 8,648 11.25\%
School - College/University Larceny/Theft Offenses - Theft From Building 6,806 8.85\%
School - College/University Drug/Narcotic Offenses - Drug/Narcotic Violations 5,410 7.04\%
School - College/University All Other 26,020 33.8\%
School - College/University Total 76,897 100\%
School - Elementary/Secondary Assault Offenses - Simple Assault 84,826 33.15\%
School - Elementary/Secondary Drug/Narcotic Offenses - Drug/Narcotic Violations 44,891 17.54\%
School - Elementary/Secondary Assault Offenses - Intimidation 28,122 10.99\%
School - Elementary/Secondary Destruction/Damage/Vandalism of Property 18,045 7.05\%
School - Elementary/Secondary Larceny/Theft Offenses - All Other Larceny 16,527 6.46\%
School - Elementary/Secondary All Other 63,509 24.83\%
School - Elementary/Secondary Total 255,920 100\%
School/College Assault Offenses - Simple Assault 7,881 27.26\%
School/College Drug/Narcotic Offenses - Drug/Narcotic Violations 4,103 14.19\%
School/College Larceny/Theft Offenses - All Other Larceny 3,256 11.26\%
School/College Destruction/Damage/Vandalism of Property 2,799 9.68\%
School/College Assault Offenses - Intimidation 2,689 9.30\%
School/College All Other 8,178 28.27\%
School/College Total 28,906 100\%
Service/Gas Station Larceny/Theft Offenses - Shoplifting 31,892 16.67\%
Service/Gas Station Larceny/Theft Offenses - All Other Larceny 27,148 14.19\%
Service/Gas Station Drug/Narcotic Offenses - Drug/Narcotic Violations 15,847 8.28\%
Service/Gas Station Assault Offenses - Simple Assault 15,585 8.15\%
Service/Gas Station Destruction/Damage/Vandalism of Property 13,950 7.29\%
Service/Gas Station All Other 86,861 45.38\%
Service/Gas Station Total 191,283 100\%
Shelter - Mission/Homeless Assault Offenses - Simple Assault 6,861 29.69\%
Shelter - Mission/Homeless Assault Offenses - Intimidation 3,874 16.76\%
Shelter - Mission/Homeless Larceny/Theft Offenses - All Other Larceny 2,884 12.48\%
Shelter - Mission/Homeless Assault Offenses - Aggravated Assault 1,865 8.07\%
Shelter - Mission/Homeless Larceny/Theft Offenses - Theft From Building 1,707 7.39\%
Shelter - Mission/Homeless All Other 5,921 25.61\%
Shelter - Mission/Homeless Total 23,112 100\%
Shopping Mall Larceny/Theft Offenses - Shoplifting 34,875 42.24\%
Shopping Mall Larceny/Theft Offenses - All Other Larceny 9,019 10.92\%
Shopping Mall Assault Offenses - Simple Assault 4,750 5.75\%
Shopping Mall Destruction/Damage/Vandalism of Property 4,523 5.48\%
Shopping Mall Assault Offenses - Intimidation 2,964 3.59\%
Shopping Mall All Other 26,442 32.03\%
Shopping Mall Total 82,573 100\%
Specialty Store (Tv, Fur, Etc.) Larceny/Theft Offenses - Shoplifting 122,489 38.26\%
Specialty Store (Tv, Fur, Etc.) Larceny/Theft Offenses - All Other Larceny 35,389 11.05\%
Specialty Store (Tv, Fur, Etc.) Destruction/Damage/Vandalism of Property 24,886 7.77\%
Specialty Store (Tv, Fur, Etc.) Burglary/Breaking And Entering 24,731 7.72\%
Specialty Store (Tv, Fur, Etc.) Fraud Offenses - False Pretenses/Swindle/Confidence Game 16,482 5.15\%
Specialty Store (Tv, Fur, Etc.) All Other 96,174 30.03\%
Specialty Store (Tv, Fur, Etc.) Total 320,151 100\%
Tribal Lands Drug/Narcotic Offenses - Drug/Narcotic Violations 658 12.67\%
Tribal Lands Assault Offenses - Simple Assault 604 11.63\%
Tribal Lands Destruction/Damage/Vandalism of Property 589 11.34\%
Tribal Lands Motor Vehicle Theft 509 9.80\%
Tribal Lands Assault Offenses - Aggravated Assault 390 7.51\%
Tribal Lands All Other 2,443 47.04\%
Tribal Lands Total 5,193 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseLocation)The most common offenses for each crime location, 2023.}\\ +\hline +Crime Location & Offense & \textbackslash{}\# of Offenses & \textbackslash{}\# of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseLocation)The most common offenses for each crime location, 2023. \textit{(continued)}}\\ +\hline +Crime Location & Offense & \textbackslash{}\# of Offenses & \textbackslash{}\# of Offenses\\ +\hline +\endhead +Abandoned/Condemned Structure & Destruction/Damage/Vandalism of Property & 2,515 & 25.03\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Burglary/Breaking And Entering & 2,088 & 20.78\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Drug/Narcotic Offenses - Drug/Narcotic Violations & 888 & 8.84\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Larceny/Theft Offenses - All Other Larceny & 775 & 7.71\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Drug/Narcotic Offenses - Drug Equipment Violations & 673 & 6.70\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & All Other & 3,109 & 30.97\textbackslash{}\%\\ +\hline +Abandoned/Condemned Structure & Total & 10,048 & 100\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Larceny/Theft Offenses - All Other Larceny & 13,978 & 19.78\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Assault Offenses - Simple Assault & 10,822 & 15.31\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Drug/Narcotic Offenses - Drug/Narcotic Violations & 7,294 & 10.32\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Destruction/Damage/Vandalism of Property & 6,794 & 9.61\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Weapon Law Violations - Weapon Law Violations & 5,343 & 7.56\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & All Other & 26,432 & 37.39\textbackslash{}\%\\ +\hline +Air/Bus/Train Terminal & Total & 70,663 & 100\textbackslash{}\%\\ +\hline +Amusement Park & Larceny/Theft Offenses - All Other Larceny & 1,717 & 21.01\textbackslash{}\%\\ +\hline +Amusement Park & Assault Offenses - Simple Assault & 1,596 & 19.53\textbackslash{}\%\\ +\hline +Amusement Park & Destruction/Damage/Vandalism of Property & 644 & 7.88\textbackslash{}\%\\ +\hline +Amusement Park & Larceny/Theft Offenses - Theft From Building & 535 & 6.55\textbackslash{}\%\\ +\hline +Amusement Park & Drug/Narcotic Offenses - Drug/Narcotic Violations & 518 & 6.34\textbackslash{}\%\\ +\hline +Amusement Park & All Other & 3,161 & 38.7\textbackslash{}\%\\ +\hline +Amusement Park & Total & 8,171 & 100\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Assault Offenses - Simple Assault & 2,780 & 25.81\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Larceny/Theft Offenses - All Other Larceny & 1,964 & 18.23\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Destruction/Damage/Vandalism of Property & 1,049 & 9.74\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Larceny/Theft Offenses - Theft From Building & 624 & 5.79\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Larceny/Theft Offenses - Theft From Motor Vehicle & 539 & 5.00\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & All Other & 3,817 & 35.42\textbackslash{}\%\\ +\hline +Arena/Stadium/Fairgrounds/Coliseum & Total & 10,773 & 100\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Fraud Offenses - Credit Card/Atm Fraud & 3,239 & 31.33\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Larceny/Theft Offenses - All Other Larceny & 1,717 & 16.61\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 1,452 & 14.05\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Destruction/Damage/Vandalism of Property & 707 & 6.84\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Fraud Offenses - Identity Theft & 653 & 6.32\textbackslash{}\%\\ +\hline +Atm Separate From Bank & All Other & 2,569 & 24.88\textbackslash{}\%\\ +\hline +Atm Separate From Bank & Total & 10,337 & 100\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Motor Vehicle Theft & 11,146 & 27.85\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Destruction/Damage/Vandalism of Property & 4,947 & 12.36\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 3,745 & 9.36\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 3,474 & 8.68\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Larceny/Theft Offenses - All Other Larceny & 3,323 & 8.30\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & All Other & 13,381 & 33.36\textbackslash{}\%\\ +\hline +Auto Dealership New/Used & Total & 40,016 & 100\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Counterfeiting/Forgery & 32,504 & 25.39\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 26,367 & 20.60\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Larceny/Theft Offenses - All Other Larceny & 16,303 & 12.74\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Fraud Offenses - Identity Theft & 14,902 & 11.64\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Fraud Offenses - Credit Card/Atm Fraud & 10,228 & 7.99\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & All Other & 27,713 & 21.63\textbackslash{}\%\\ +\hline +Bank/Savings And Loan & Total & 128,017 & 100\textbackslash{}\%\\ +\hline +Bar/Nightclub & Assault Offenses - Simple Assault & 29,599 & 31.55\textbackslash{}\%\\ +\hline +Bar/Nightclub & Larceny/Theft Offenses - All Other Larceny & 11,411 & 12.16\textbackslash{}\%\\ +\hline +Bar/Nightclub & Assault Offenses - Aggravated Assault & 8,895 & 9.48\textbackslash{}\%\\ +\hline +Bar/Nightclub & Destruction/Damage/Vandalism of Property & 8,116 & 8.65\textbackslash{}\%\\ +\hline +Bar/Nightclub & Larceny/Theft Offenses - Theft From Building & 4,592 & 4.90\textbackslash{}\%\\ +\hline +Bar/Nightclub & All Other & 31,194 & 33.24\textbackslash{}\%\\ +\hline +Bar/Nightclub & Total & 93,807 & 100\textbackslash{}\%\\ +\hline +Camp/Campground & Larceny/Theft Offenses - All Other Larceny & 2,354 & 19.55\textbackslash{}\%\\ +\hline +Camp/Campground & Assault Offenses - Simple Assault & 2,183 & 18.13\textbackslash{}\%\\ +\hline +Camp/Campground & Destruction/Damage/Vandalism of Property & 1,633 & 13.57\textbackslash{}\%\\ +\hline +Camp/Campground & Assault Offenses - Aggravated Assault & 823 & 6.84\textbackslash{}\%\\ +\hline +Camp/Campground & Larceny/Theft Offenses - Theft From Motor Vehicle & 733 & 6.09\textbackslash{}\%\\ +\hline +Camp/Campground & All Other & 4,312 & 35.84\textbackslash{}\%\\ +\hline +Camp/Campground & Total & 12,038 & 100\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Destruction/Damage/Vandalism of Property & 12,249 & 29.17\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Burglary/Breaking And Entering & 6,579 & 15.67\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Larceny/Theft Offenses - All Other Larceny & 5,513 & 13.13\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Assault Offenses - Simple Assault & 2,692 & 6.41\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Larceny/Theft Offenses - Theft From Motor Vehicle & 2,220 & 5.29\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & All Other & 12,732 & 30.27\textbackslash{}\%\\ +\hline +Church/Synagogue/Temple/Mosque & Total & 41,985 & 100\textbackslash{}\%\\ +\hline +Commercial/Office Building & Destruction/Damage/Vandalism of Property & 52,381 & 17.58\textbackslash{}\%\\ +\hline +Commercial/Office Building & Larceny/Theft Offenses - All Other Larceny & 47,767 & 16.03\textbackslash{}\%\\ +\hline +Commercial/Office Building & Burglary/Breaking And Entering & 42,551 & 14.28\textbackslash{}\%\\ +\hline +Commercial/Office Building & Motor Vehicle Theft & 16,307 & 5.47\textbackslash{}\%\\ +\hline +Commercial/Office Building & Larceny/Theft Offenses - Shoplifting & 16,277 & 5.46\textbackslash{}\%\\ +\hline +Commercial/Office Building & All Other & 122,678 & 41.17\textbackslash{}\%\\ +\hline +Commercial/Office Building & Total & 297,961 & 100\textbackslash{}\%\\ +\hline +Community Center & Larceny/Theft Offenses - All Other Larceny & 3,245 & 19.62\textbackslash{}\%\\ +\hline +Community Center & Destruction/Damage/Vandalism of Property & 2,882 & 17.42\textbackslash{}\%\\ +\hline +Community Center & Assault Offenses - Simple Assault & 2,468 & 14.92\textbackslash{}\%\\ +\hline +Community Center & Larceny/Theft Offenses - Theft From Building & 1,855 & 11.21\textbackslash{}\%\\ +\hline +Community Center & Burglary/Breaking And Entering & 1,135 & 6.86\textbackslash{}\%\\ +\hline +Community Center & All Other & 4,957 & 29.97\textbackslash{}\%\\ +\hline +Community Center & Total & 16,542 & 100\textbackslash{}\%\\ +\hline +Construction Site & Larceny/Theft Offenses - All Other Larceny & 29,510 & 41.62\textbackslash{}\%\\ +\hline +Construction Site & Burglary/Breaking And Entering & 12,990 & 18.32\textbackslash{}\%\\ +\hline +Construction Site & Destruction/Damage/Vandalism of Property & 10,942 & 15.43\textbackslash{}\%\\ +\hline +Construction Site & Larceny/Theft Offenses - Theft From Building & 3,756 & 5.30\textbackslash{}\%\\ +\hline +Construction Site & Motor Vehicle Theft & 2,606 & 3.68\textbackslash{}\%\\ +\hline +Construction Site & All Other & 11,097 & 15.65\textbackslash{}\%\\ +\hline +Construction Site & Total & 70,901 & 100\textbackslash{}\%\\ +\hline +Convenience Store & Larceny/Theft Offenses - Shoplifting & 104,229 & 34.15\textbackslash{}\%\\ +\hline +Convenience Store & Larceny/Theft Offenses - All Other Larceny & 35,883 & 11.76\textbackslash{}\%\\ +\hline +Convenience Store & Assault Offenses - Simple Assault & 20,831 & 6.83\textbackslash{}\%\\ +\hline +Convenience Store & Drug/Narcotic Offenses - Drug/Narcotic Violations & 17,963 & 5.89\textbackslash{}\%\\ +\hline +Convenience Store & Destruction/Damage/Vandalism of Property & 16,685 & 5.47\textbackslash{}\%\\ +\hline +Convenience Store & All Other & 109,593 & 35.89\textbackslash{}\%\\ +\hline +Convenience Store & Total & 305,184 & 100\textbackslash{}\%\\ +\hline +Cyberspace & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 36,262 & 23.92\textbackslash{}\%\\ +\hline +Cyberspace & Fraud Offenses - Identity Theft & 31,022 & 20.47\textbackslash{}\%\\ +\hline +Cyberspace & Assault Offenses - Intimidation & 20,660 & 13.63\textbackslash{}\%\\ +\hline +Cyberspace & Fraud Offenses - Credit Card/Atm Fraud & 16,030 & 10.58\textbackslash{}\%\\ +\hline +Cyberspace & Fraud Offenses - Wire Fraud & 14,962 & 9.87\textbackslash{}\%\\ +\hline +Cyberspace & All Other & 32,640 & 21.56\textbackslash{}\%\\ +\hline +Cyberspace & Total & 151,576 & 100\textbackslash{}\%\\ +\hline +Daycare Facility & Assault Offenses - Simple Assault & 2,274 & 29.13\textbackslash{}\%\\ +\hline +Daycare Facility & Destruction/Damage/Vandalism of Property & 1,036 & 13.27\textbackslash{}\%\\ +\hline +Daycare Facility & Larceny/Theft Offenses - Theft From Motor Vehicle & 643 & 8.24\textbackslash{}\%\\ +\hline +Daycare Facility & Larceny/Theft Offenses - All Other Larceny & 639 & 8.19\textbackslash{}\%\\ +\hline +Daycare Facility & Burglary/Breaking And Entering & 625 & 8.01\textbackslash{}\%\\ +\hline +Daycare Facility & All Other & 2,589 & 33.16\textbackslash{}\%\\ +\hline +Daycare Facility & Total & 7,806 & 100\textbackslash{}\%\\ +\hline +Department/Discount Store & Larceny/Theft Offenses - Shoplifting & 363,609 & 61.49\textbackslash{}\%\\ +\hline +Department/Discount Store & Larceny/Theft Offenses - All Other Larceny & 57,555 & 9.73\textbackslash{}\%\\ +\hline +Department/Discount Store & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 20,310 & 3.43\textbackslash{}\%\\ +\hline +Department/Discount Store & Fraud Offenses - Credit Card/Atm Fraud & 17,512 & 2.96\textbackslash{}\%\\ +\hline +Department/Discount Store & Larceny/Theft Offenses - Theft From Building & 14,336 & 2.42\textbackslash{}\%\\ +\hline +Department/Discount Store & All Other & 118,006 & 19.93\textbackslash{}\%\\ +\hline +Department/Discount Store & Total & 591,328 & 100\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Larceny/Theft Offenses - All Other Larceny & 1,733 & 24.11\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Drug/Narcotic Offenses - Drug/Narcotic Violations & 1,436 & 19.97\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Destruction/Damage/Vandalism of Property & 688 & 9.57\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Assault Offenses - Simple Assault & 682 & 9.49\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Burglary/Breaking And Entering & 407 & 5.66\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & All Other & 2,243 & 31.2\textbackslash{}\%\\ +\hline +Dock/Wharf/Freight/Modal Terminal & Total & 7,189 & 100\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Larceny/Theft Offenses - Shoplifting & 41,385 & 23.96\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Assault Offenses - Simple Assault & 38,541 & 22.31\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Larceny/Theft Offenses - All Other Larceny & 14,910 & 8.63\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Destruction/Damage/Vandalism of Property & 11,582 & 6.70\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Assault Offenses - Intimidation & 9,249 & 5.35\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & All Other & 57,079 & 33.04\textbackslash{}\%\\ +\hline +Drug Store/Doctors Office/Hospital & Total & 172,746 & 100\textbackslash{}\%\\ +\hline +Farm Facility & Larceny/Theft Offenses - All Other Larceny & 2,695 & 27.69\textbackslash{}\%\\ +\hline +Farm Facility & Burglary/Breaking And Entering & 1,749 & 17.97\textbackslash{}\%\\ +\hline +Farm Facility & Destruction/Damage/Vandalism of Property & 1,645 & 16.90\textbackslash{}\%\\ +\hline +Farm Facility & Motor Vehicle Theft & 983 & 10.10\textbackslash{}\%\\ +\hline +Farm Facility & Larceny/Theft Offenses - Theft From Building & 466 & 4.79\textbackslash{}\%\\ +\hline +Farm Facility & All Other & 2,193 & 22.52\textbackslash{}\%\\ +\hline +Farm Facility & Total & 9,731 & 100\textbackslash{}\%\\ +\hline +Field/Woods & Larceny/Theft Offenses - All Other Larceny & 12,087 & 21.63\textbackslash{}\%\\ +\hline +Field/Woods & Destruction/Damage/Vandalism of Property & 9,031 & 16.16\textbackslash{}\%\\ +\hline +Field/Woods & Drug/Narcotic Offenses - Drug/Narcotic Violations & 5,293 & 9.47\textbackslash{}\%\\ +\hline +Field/Woods & Assault Offenses - Simple Assault & 5,032 & 9.01\textbackslash{}\%\\ +\hline +Field/Woods & Motor Vehicle Theft & 3,257 & 5.83\textbackslash{}\%\\ +\hline +Field/Woods & All Other & 21,170 & 37.91\textbackslash{}\%\\ +\hline +Field/Woods & Total & 55,870 & 100\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Larceny/Theft Offenses - All Other Larceny & 6,001 & 18.49\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Drug/Narcotic Offenses - Drug/Narcotic Violations & 4,170 & 12.85\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Assault Offenses - Simple Assault & 3,713 & 11.44\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Larceny/Theft Offenses - Theft From Building & 2,858 & 8.81\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Counterfeiting/Forgery & 1,961 & 6.04\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & All Other & 13,744 & 42.36\textbackslash{}\%\\ +\hline +Gambling Facility/Casino/Race Track & Total & 32,447 & 100\textbackslash{}\%\\ +\hline +Government/Public Building & Destruction/Damage/Vandalism of Property & 14,995 & 15.67\textbackslash{}\%\\ +\hline +Government/Public Building & Larceny/Theft Offenses - All Other Larceny & 12,550 & 13.11\textbackslash{}\%\\ +\hline +Government/Public Building & Assault Offenses - Simple Assault & 11,560 & 12.08\textbackslash{}\%\\ +\hline +Government/Public Building & Drug/Narcotic Offenses - Drug/Narcotic Violations & 9,040 & 9.45\textbackslash{}\%\\ +\hline +Government/Public Building & Assault Offenses - Intimidation & 7,485 & 7.82\textbackslash{}\%\\ +\hline +Government/Public Building & All Other & 40,064 & 41.86\textbackslash{}\%\\ +\hline +Government/Public Building & Total & 95,694 & 100\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Larceny/Theft Offenses - Shoplifting & 168,193 & 52.07\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Larceny/Theft Offenses - All Other Larceny & 42,608 & 13.19\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Assault Offenses - Simple Assault & 12,831 & 3.97\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Fraud Offenses - Credit Card/Atm Fraud & 10,724 & 3.32\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 9,126 & 2.83\textbackslash{}\%\\ +\hline +Grocery/Supermarket & All Other & 79,509 & 24.62\textbackslash{}\%\\ +\hline +Grocery/Supermarket & Total & 322,991 & 100\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Drug/Narcotic Offenses - Drug/Narcotic Violations & 562,590 & 22.64\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Destruction/Damage/Vandalism of Property & 283,207 & 11.39\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Drug/Narcotic Offenses - Drug Equipment Violations & 264,734 & 10.65\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Motor Vehicle Theft & 255,631 & 10.29\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Assault Offenses - Simple Assault & 206,086 & 8.29\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & All Other & 913,163 & 36.78\textbackslash{}\%\\ +\hline +Highway/Road/Alley/Street/Sidewalk & Total & 2,485,411 & 100\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Assault Offenses - Simple Assault & 38,480 & 17.62\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Larceny/Theft Offenses - All Other Larceny & 22,401 & 10.26\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Destruction/Damage/Vandalism of Property & 21,998 & 10.08\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Drug/Narcotic Offenses - Drug/Narcotic Violations & 20,281 & 9.29\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Larceny/Theft Offenses - Theft From Motor Vehicle & 19,255 & 8.82\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & All Other & 95,927 & 43.97\textbackslash{}\%\\ +\hline +Hotel/Motel/Etc. & Total & 218,342 & 100\textbackslash{}\%\\ +\hline +Industrial Site & Larceny/Theft Offenses - All Other Larceny & 5,921 & 26.56\textbackslash{}\%\\ +\hline +Industrial Site & Destruction/Damage/Vandalism of Property & 3,870 & 17.36\textbackslash{}\%\\ +\hline +Industrial Site & Burglary/Breaking And Entering & 3,173 & 14.23\textbackslash{}\%\\ +\hline +Industrial Site & Assault Offenses - Simple Assault & 1,399 & 6.28\textbackslash{}\%\\ +\hline +Industrial Site & Motor Vehicle Theft & 1,277 & 5.73\textbackslash{}\%\\ +\hline +Industrial Site & All Other & 6,652 & 29.79\textbackslash{}\%\\ +\hline +Industrial Site & Total & 22,292 & 100\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Assault Offenses - Simple Assault & 29,336 & 39.80\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Drug/Narcotic Offenses - Drug/Narcotic Violations & 18,588 & 25.22\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Assault Offenses - Aggravated Assault & 6,797 & 9.22\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Destruction/Damage/Vandalism of Property & 6,036 & 8.19\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Assault Offenses - Intimidation & 2,886 & 3.92\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & All Other & 10,063 & 13.68\textbackslash{}\%\\ +\hline +Jail/Prison/Penitentiary/Corrections Facility & Total & 73,706 & 100\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Larceny/Theft Offenses - All Other Larceny & 2,870 & 27.74\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Assault Offenses - Simple Assault & 1,335 & 12.90\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Destruction/Damage/Vandalism of Property & 1,235 & 11.94\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Drug/Narcotic Offenses - Drug/Narcotic Violations & 956 & 9.24\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Larceny/Theft Offenses - Theft From Motor Vehicle & 699 & 6.76\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & All Other & 3,250 & 31.39\textbackslash{}\%\\ +\hline +Lake/Waterway/Beach & Total & 10,345 & 100\textbackslash{}\%\\ +\hline +Liquor Store & Larceny/Theft Offenses - Shoplifting & 19,689 & 53.60\textbackslash{}\%\\ +\hline +Liquor Store & Burglary/Breaking And Entering & 2,453 & 6.68\textbackslash{}\%\\ +\hline +Liquor Store & Larceny/Theft Offenses - All Other Larceny & 2,420 & 6.59\textbackslash{}\%\\ +\hline +Liquor Store & Destruction/Damage/Vandalism of Property & 2,221 & 6.05\textbackslash{}\%\\ +\hline +Liquor Store & Assault Offenses - Simple Assault & 1,554 & 4.23\textbackslash{}\%\\ +\hline +Liquor Store & All Other & 8,399 & 22.82\textbackslash{}\%\\ +\hline +Liquor Store & Total & 36,736 & 100\textbackslash{}\%\\ +\hline +Military Installation & Larceny/Theft Offenses - All Other Larceny & 186 & 21.60\textbackslash{}\%\\ +\hline +Military Installation & Destruction/Damage/Vandalism of Property & 95 & 11.03\textbackslash{}\%\\ +\hline +Military Installation & Assault Offenses - Simple Assault & 80 & 9.29\textbackslash{}\%\\ +\hline +Military Installation & Assault Offenses - Intimidation & 76 & 8.83\textbackslash{}\%\\ +\hline +Military Installation & Burglary/Breaking And Entering & 45 & 5.23\textbackslash{}\%\\ +\hline +Military Installation & All Other & 379 & 44.04\textbackslash{}\%\\ +\hline +Military Installation & Total & 861 & 100\textbackslash{}\%\\ +\hline +Other/Unknown & Larceny/Theft Offenses - All Other Larceny & 115,019 & 16.44\textbackslash{}\%\\ +\hline +Other/Unknown & Destruction/Damage/Vandalism of Property & 73,195 & 10.46\textbackslash{}\%\\ +\hline +Other/Unknown & Assault Offenses - Simple Assault & 56,187 & 8.03\textbackslash{}\%\\ +\hline +Other/Unknown & Larceny/Theft Offenses - Shoplifting & 45,609 & 6.52\textbackslash{}\%\\ +\hline +Other/Unknown & Assault Offenses - Intimidation & 36,283 & 5.18\textbackslash{}\%\\ +\hline +Other/Unknown & All Other & 373,527 & 53.37\textbackslash{}\%\\ +\hline +Other/Unknown & Total & 699,820 & 100\textbackslash{}\%\\ +\hline +Park/Playground & Destruction/Damage/Vandalism of Property & 27,650 & 21.84\textbackslash{}\%\\ +\hline +Park/Playground & Assault Offenses - Simple Assault & 19,055 & 15.05\textbackslash{}\%\\ +\hline +Park/Playground & Larceny/Theft Offenses - All Other Larceny & 13,991 & 11.05\textbackslash{}\%\\ +\hline +Park/Playground & Drug/Narcotic Offenses - Drug/Narcotic Violations & 13,094 & 10.34\textbackslash{}\%\\ +\hline +Park/Playground & Larceny/Theft Offenses - Theft From Motor Vehicle & 10,678 & 8.43\textbackslash{}\%\\ +\hline +Park/Playground & All Other & 42,136 & 33.28\textbackslash{}\%\\ +\hline +Park/Playground & Total & 126,604 & 100\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Larceny/Theft Offenses - Theft From Motor Vehicle & 273,500 & 21.39\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Destruction/Damage/Vandalism of Property & 247,701 & 19.37\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Motor Vehicle Theft & 213,331 & 16.69\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Drug/Narcotic Offenses - Drug/Narcotic Violations & 86,283 & 6.75\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Larceny/Theft Offenses - All Other Larceny & 83,482 & 6.53\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & All Other & 374,266 & 29.23\textbackslash{}\%\\ +\hline +Parking Lot/Drop Lot/Parking Garage & Total & 1,278,563 & 100\textbackslash{}\%\\ +\hline +Rental Storage Facility & Burglary/Breaking And Entering & 38,005 & 46.01\textbackslash{}\%\\ +\hline +Rental Storage Facility & Destruction/Damage/Vandalism of Property & 11,438 & 13.85\textbackslash{}\%\\ +\hline +Rental Storage Facility & Larceny/Theft Offenses - All Other Larceny & 9,848 & 11.92\textbackslash{}\%\\ +\hline +Rental Storage Facility & Motor Vehicle Theft & 4,787 & 5.80\textbackslash{}\%\\ +\hline +Rental Storage Facility & Larceny/Theft Offenses - Theft From Building & 4,275 & 5.18\textbackslash{}\%\\ +\hline +Rental Storage Facility & All Other & 14,250 & 17.26\textbackslash{}\%\\ +\hline +Rental Storage Facility & Total & 82,603 & 100\textbackslash{}\%\\ +\hline +Residence/Home & Assault Offenses - Simple Assault & 1,149,864 & 22.18\textbackslash{}\%\\ +\hline +Residence/Home & Destruction/Damage/Vandalism of Property & 680,051 & 13.12\textbackslash{}\%\\ +\hline +Residence/Home & Larceny/Theft Offenses - All Other Larceny & 579,384 & 11.18\textbackslash{}\%\\ +\hline +Residence/Home & Burglary/Breaking And Entering & 383,775 & 7.40\textbackslash{}\%\\ +\hline +Residence/Home & Assault Offenses - Intimidation & 346,951 & 6.69\textbackslash{}\%\\ +\hline +Residence/Home & All Other & 2,043,859 & 39.43\textbackslash{}\%\\ +\hline +Residence/Home & Total & 5,183,884 & 100\textbackslash{}\%\\ +\hline +Rest Area & Destruction/Damage/Vandalism of Property & 643 & 17.04\textbackslash{}\%\\ +\hline +Rest Area & Larceny/Theft Offenses - All Other Larceny & 541 & 14.34\textbackslash{}\%\\ +\hline +Rest Area & Assault Offenses - Simple Assault & 530 & 14.05\textbackslash{}\%\\ +\hline +Rest Area & Drug/Narcotic Offenses - Drug/Narcotic Violations & 357 & 9.46\textbackslash{}\%\\ +\hline +Rest Area & Larceny/Theft Offenses - Theft From Motor Vehicle & 277 & 7.34\textbackslash{}\%\\ +\hline +Rest Area & All Other & 1,425 & 37.78\textbackslash{}\%\\ +\hline +Rest Area & Total & 3,773 & 100\textbackslash{}\%\\ +\hline +Restaurant & Larceny/Theft Offenses - All Other Larceny & 33,432 & 14.97\textbackslash{}\%\\ +\hline +Restaurant & Assault Offenses - Simple Assault & 31,827 & 14.25\textbackslash{}\%\\ +\hline +Restaurant & Destruction/Damage/Vandalism of Property & 27,812 & 12.46\textbackslash{}\%\\ +\hline +Restaurant & Burglary/Breaking And Entering & 23,384 & 10.47\textbackslash{}\%\\ +\hline +Restaurant & Larceny/Theft Offenses - Theft From Building & 13,008 & 5.83\textbackslash{}\%\\ +\hline +Restaurant & All Other & 93,831 & 42.01\textbackslash{}\%\\ +\hline +Restaurant & Total & 223,294 & 100\textbackslash{}\%\\ +\hline +School - College/University & Larceny/Theft Offenses - All Other Larceny & 16,802 & 21.85\textbackslash{}\%\\ +\hline +School - College/University & Destruction/Damage/Vandalism of Property & 13,211 & 17.18\textbackslash{}\%\\ +\hline +School - College/University & Assault Offenses - Simple Assault & 8,648 & 11.25\textbackslash{}\%\\ +\hline +School - College/University & Larceny/Theft Offenses - Theft From Building & 6,806 & 8.85\textbackslash{}\%\\ +\hline +School - College/University & Drug/Narcotic Offenses - Drug/Narcotic Violations & 5,410 & 7.04\textbackslash{}\%\\ +\hline +School - College/University & All Other & 26,020 & 33.8\textbackslash{}\%\\ +\hline +School - College/University & Total & 76,897 & 100\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Assault Offenses - Simple Assault & 84,826 & 33.15\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Drug/Narcotic Offenses - Drug/Narcotic Violations & 44,891 & 17.54\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Assault Offenses - Intimidation & 28,122 & 10.99\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Destruction/Damage/Vandalism of Property & 18,045 & 7.05\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Larceny/Theft Offenses - All Other Larceny & 16,527 & 6.46\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & All Other & 63,509 & 24.83\textbackslash{}\%\\ +\hline +School - Elementary/Secondary & Total & 255,920 & 100\textbackslash{}\%\\ +\hline +School/College & Assault Offenses - Simple Assault & 7,881 & 27.26\textbackslash{}\%\\ +\hline +School/College & Drug/Narcotic Offenses - Drug/Narcotic Violations & 4,103 & 14.19\textbackslash{}\%\\ +\hline +School/College & Larceny/Theft Offenses - All Other Larceny & 3,256 & 11.26\textbackslash{}\%\\ +\hline +School/College & Destruction/Damage/Vandalism of Property & 2,799 & 9.68\textbackslash{}\%\\ +\hline +School/College & Assault Offenses - Intimidation & 2,689 & 9.30\textbackslash{}\%\\ +\hline +School/College & All Other & 8,178 & 28.27\textbackslash{}\%\\ +\hline +School/College & Total & 28,906 & 100\textbackslash{}\%\\ +\hline +Service/Gas Station & Larceny/Theft Offenses - Shoplifting & 31,892 & 16.67\textbackslash{}\%\\ +\hline +Service/Gas Station & Larceny/Theft Offenses - All Other Larceny & 27,148 & 14.19\textbackslash{}\%\\ +\hline +Service/Gas Station & Drug/Narcotic Offenses - Drug/Narcotic Violations & 15,847 & 8.28\textbackslash{}\%\\ +\hline +Service/Gas Station & Assault Offenses - Simple Assault & 15,585 & 8.15\textbackslash{}\%\\ +\hline +Service/Gas Station & Destruction/Damage/Vandalism of Property & 13,950 & 7.29\textbackslash{}\%\\ +\hline +Service/Gas Station & All Other & 86,861 & 45.38\textbackslash{}\%\\ +\hline +Service/Gas Station & Total & 191,283 & 100\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Assault Offenses - Simple Assault & 6,861 & 29.69\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Assault Offenses - Intimidation & 3,874 & 16.76\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Larceny/Theft Offenses - All Other Larceny & 2,884 & 12.48\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Assault Offenses - Aggravated Assault & 1,865 & 8.07\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Larceny/Theft Offenses - Theft From Building & 1,707 & 7.39\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & All Other & 5,921 & 25.61\textbackslash{}\%\\ +\hline +Shelter - Mission/Homeless & Total & 23,112 & 100\textbackslash{}\%\\ +\hline +Shopping Mall & Larceny/Theft Offenses - Shoplifting & 34,875 & 42.24\textbackslash{}\%\\ +\hline +Shopping Mall & Larceny/Theft Offenses - All Other Larceny & 9,019 & 10.92\textbackslash{}\%\\ +\hline +Shopping Mall & Assault Offenses - Simple Assault & 4,750 & 5.75\textbackslash{}\%\\ +\hline +Shopping Mall & Destruction/Damage/Vandalism of Property & 4,523 & 5.48\textbackslash{}\%\\ +\hline +Shopping Mall & Assault Offenses - Intimidation & 2,964 & 3.59\textbackslash{}\%\\ +\hline +Shopping Mall & All Other & 26,442 & 32.03\textbackslash{}\%\\ +\hline +Shopping Mall & Total & 82,573 & 100\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Larceny/Theft Offenses - Shoplifting & 122,489 & 38.26\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Larceny/Theft Offenses - All Other Larceny & 35,389 & 11.05\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Destruction/Damage/Vandalism of Property & 24,886 & 7.77\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Burglary/Breaking And Entering & 24,731 & 7.72\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Fraud Offenses - False Pretenses/Swindle/Confidence Game & 16,482 & 5.15\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & All Other & 96,174 & 30.03\textbackslash{}\%\\ +\hline +Specialty Store (Tv, Fur, Etc.) & Total & 320,151 & 100\textbackslash{}\%\\ +\hline +Tribal Lands & Drug/Narcotic Offenses - Drug/Narcotic Violations & 658 & 12.67\textbackslash{}\%\\ +\hline +Tribal Lands & Assault Offenses - Simple Assault & 604 & 11.63\textbackslash{}\%\\ +\hline +Tribal Lands & Destruction/Damage/Vandalism of Property & 589 & 11.34\textbackslash{}\%\\ +\hline +Tribal Lands & Motor Vehicle Theft & 509 & 9.80\textbackslash{}\%\\ +\hline +Tribal Lands & Assault Offenses - Aggravated Assault & 390 & 7.51\textbackslash{}\%\\ +\hline +Tribal Lands & All Other & 2,443 & 47.04\textbackslash{}\%\\ +\hline +Tribal Lands & Total & 5,193 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -14964,1465 +7169,541 @@ The list of offenses where there is data on weapon usage is below: Table \@ref(tab:offenseWeapon) shows the breakdown in the weapons used in 2022 data, by the offense type. This table aggregates data at the offense-level, meaning that an incident with two offenses that both involved a weapon would count that weapon twice. Depending on your use case you may want to aggregate data to the incident-level, such as by top-coding to the most serious weapon per incident. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseWeapon)The weapon used by an offender, by offense, 2023. The use means that it was part of the crime though may not have been physically discharged. For example, pointing a gun at someone even without firing the gun is still using it.
Crime Weapon \# of Offenses \% of Offenses
Assault Offenses - Simple Assault Personal Weapons (Hands, Feet, Teeth, Etc.) 1,517,722 78.42\%
Assault Offenses - Simple Assault None 220,695 11.40\%
Assault Offenses - Simple Assault Other 145,694 7.53\%
Assault Offenses - Simple Assault Unknown 51,206 2.65\%
Assault Offenses - Simple Assault Total 1,935,317 100\%
Assault Offenses - Aggravated Assault Personal Weapons (Hands, Feet, Teeth, Etc.) 124,452 20.57\%
Assault Offenses - Aggravated Assault Handgun 107,390 17.75\%
Assault Offenses - Aggravated Assault Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 104,074 17.20\%
Assault Offenses - Aggravated Assault Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 61,632 10.18\%
Assault Offenses - Aggravated Assault Firearm (Type Not Stated) 60,172 9.94\%
Assault Offenses - Aggravated Assault Other 59,352 9.81\%
Assault Offenses - Aggravated Assault Motor Vehicle/Vessel 28,034 4.63\%
Assault Offenses - Aggravated Assault None 17,828 2.95\%
Assault Offenses - Aggravated Assault Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 13,348 2.21\%
Assault Offenses - Aggravated Assault Unknown 12,175 2.01\%
Assault Offenses - Aggravated Assault Rifle 5,933 0.98\%
Assault Offenses - Aggravated Assault Other Firearm 4,794 0.79\%
Assault Offenses - Aggravated Assault Shotgun 3,082 0.51\%
Assault Offenses - Aggravated Assault Fire/Incendiary Device 1,004 0.17\%
Assault Offenses - Aggravated Assault Drugs/Narcotics/Sleeping Pills 1,002 0.17\%
Assault Offenses - Aggravated Assault Poison (Include Gas) 635 0.10\%
Assault Offenses - Aggravated Assault Explosives 252 0.04\%
Assault Offenses - Aggravated Assault Total 605,159 100\%
Weapon Law Violations - Weapon Law Violations Handgun 183,188 51.57\%
Weapon Law Violations - Weapon Law Violations Firearm (Type Not Stated) 69,353 19.52\%
Weapon Law Violations - Weapon Law Violations Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 34,725 9.78\%
Weapon Law Violations - Weapon Law Violations Other 17,587 4.95\%
Weapon Law Violations - Weapon Law Violations None 13,074 3.68\%
Weapon Law Violations - Weapon Law Violations Rifle 9,476 2.67\%
Weapon Law Violations - Weapon Law Violations Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 7,426 2.09\%
Weapon Law Violations - Weapon Law Violations Unknown 5,582 1.57\%
Weapon Law Violations - Weapon Law Violations Other Firearm 5,578 1.57\%
Weapon Law Violations - Weapon Law Violations Shotgun 4,940 1.39\%
Weapon Law Violations - Weapon Law Violations Explosives 1,858 0.52\%
Weapon Law Violations - Weapon Law Violations Personal Weapons (Hands, Feet, Teeth, Etc.) 1,352 0.38\%
Weapon Law Violations - Weapon Law Violations Fire/Incendiary Device 409 0.12\%
Weapon Law Violations - Weapon Law Violations Motor Vehicle/Vessel 374 0.11\%
Weapon Law Violations - Weapon Law Violations Drugs/Narcotics/Sleeping Pills 220 0.06\%
Weapon Law Violations - Weapon Law Violations Poison (Include Gas) 75 0.02\%
Weapon Law Violations - Weapon Law Violations Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 24 0.01\%
Weapon Law Violations - Weapon Law Violations Total 355,241 100\%
Sex Offenses - Sexual Assault With An Object Personal Weapons (Hands, Feet, Teeth, Etc.) 4,813 60.28\%
Sex Offenses - Sexual Assault With An Object None 1,658 20.77\%
Sex Offenses - Sexual Assault With An Object Unknown 600 7.52\%
Sex Offenses - Sexual Assault With An Object Other 559 7.00\%
Sex Offenses - Sexual Assault With An Object Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 167 2.09\%
Sex Offenses - Sexual Assault With An Object Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 80 1.00\%
Sex Offenses - Sexual Assault With An Object Drugs/Narcotics/Sleeping Pills 45 0.56\%
Sex Offenses - Sexual Assault With An Object Handgun 30 0.38\%
Sex Offenses - Sexual Assault With An Object Firearm (Type Not Stated) 14 0.18\%
Sex Offenses - Sexual Assault With An Object Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 11 0.14\%
Sex Offenses - Sexual Assault With An Object Other Firearm 2 0.03\%
Sex Offenses - Sexual Assault With An Object Poison (Include Gas) 2 0.03\%
Sex Offenses - Sexual Assault With An Object Motor Vehicle/Vessel 1 0.01\%
Sex Offenses - Sexual Assault With An Object Explosives 1 0.01\%
Sex Offenses - Sexual Assault With An Object Shotgun 1 0.01\%
Sex Offenses - Sexual Assault With An Object Total 7,984 100\%
Sex Offenses - Rape Personal Weapons (Hands, Feet, Teeth, Etc.) 41,014 52.17\%
Sex Offenses - Rape None 23,802 30.28\%
Sex Offenses - Rape Unknown 7,928 10.08\%
Sex Offenses - Rape Other 2,638 3.36\%
Sex Offenses - Rape Handgun 887 1.13\%
Sex Offenses - Rape Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 796 1.01\%
Sex Offenses - Rape Drugs/Narcotics/Sleeping Pills 684 0.87\%
Sex Offenses - Rape Firearm (Type Not Stated) 392 0.50\%
Sex Offenses - Rape Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 191 0.24\%
Sex Offenses - Rape Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 175 0.22\%
Sex Offenses - Rape Poison (Include Gas) 29 0.04\%
Sex Offenses - Rape Other Firearm 28 0.04\%
Sex Offenses - Rape Rifle 18 0.02\%
Sex Offenses - Rape Motor Vehicle/Vessel 13 0.02\%
Sex Offenses - Rape Fire/Incendiary Device 9 0.01\%
Sex Offenses - Rape Shotgun 8 0.01\%
Sex Offenses - Rape Total 78,612 100\%
Robbery Personal Weapons (Hands, Feet, Teeth, Etc.) 55,139 30.77\%
Robbery Handgun 47,636 26.58\%
Robbery None 23,733 13.24\%
Robbery Firearm (Type Not Stated) 15,231 8.50\%
Robbery Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 14,983 8.36\%
Robbery Other 9,081 5.07\%
Robbery Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 4,780 2.67\%
Robbery Unknown 4,563 2.55\%
Robbery Other Firearm 1,296 0.72\%
Robbery Rifle 1,251 0.70\%
Robbery Motor Vehicle/Vessel 801 0.45\%
Robbery Shotgun 363 0.20\%
Robbery Poison (Include Gas) 107 0.06\%
Robbery Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 101 0.06\%
Robbery Explosives 57 0.03\%
Robbery Fire/Incendiary Device 42 0.02\%
Robbery Drugs/Narcotics/Sleeping Pills 42 0.02\%
Robbery Total 179,206 100\%
Sex Offenses - Sodomy Personal Weapons (Hands, Feet, Teeth, Etc.) 10,233 50.14\%
Sex Offenses - Sodomy None 7,151 35.04\%
Sex Offenses - Sodomy Unknown 1,415 6.93\%
Sex Offenses - Sodomy Other 780 3.82\%
Sex Offenses - Sodomy Handgun 242 1.19\%
Sex Offenses - Sodomy Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 207 1.01\%
Sex Offenses - Sodomy Drugs/Narcotics/Sleeping Pills 140 0.69\%
Sex Offenses - Sodomy Firearm (Type Not Stated) 94 0.46\%
Sex Offenses - Sodomy Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 94 0.46\%
Sex Offenses - Sodomy Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 30 0.15\%
Sex Offenses - Sodomy Other Firearm 8 0.04\%
Sex Offenses - Sodomy Motor Vehicle/Vessel 6 0.03\%
Sex Offenses - Sodomy Shotgun 5 0.02\%
Sex Offenses - Sodomy Rifle 3 0.01\%
Sex Offenses - Sodomy Poison (Include Gas) 2 0.01\%
Sex Offenses - Sodomy Total 20,410 100\%
Murder/Nonnegligent Manslaughter Handgun 5,808 39.08\%
Murder/Nonnegligent Manslaughter Firearm (Type Not Stated) 4,624 31.11\%
Murder/Nonnegligent Manslaughter Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 1,306 8.79\%
Murder/Nonnegligent Manslaughter Unknown 607 4.08\%
Murder/Nonnegligent Manslaughter Personal Weapons (Hands, Feet, Teeth, Etc.) 575 3.87\%
Murder/Nonnegligent Manslaughter Rifle 370 2.49\%
Murder/Nonnegligent Manslaughter Other Firearm 367 2.47\%
Murder/Nonnegligent Manslaughter Other 264 1.78\%
Murder/Nonnegligent Manslaughter Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 245 1.65\%
Murder/Nonnegligent Manslaughter Drugs/Narcotics/Sleeping Pills 201 1.35\%
Murder/Nonnegligent Manslaughter Motor Vehicle/Vessel 199 1.34\%
Murder/Nonnegligent Manslaughter Shotgun 146 0.98\%
Murder/Nonnegligent Manslaughter Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 82 0.55\%
Murder/Nonnegligent Manslaughter Fire/Incendiary Device 51 0.34\%
Murder/Nonnegligent Manslaughter Poison (Include Gas) 16 0.11\%
Murder/Nonnegligent Manslaughter Total 14,861 100\%
Kidnapping/Abduction Personal Weapons (Hands, Feet, Teeth, Etc.) 21,314 47.69\%
Kidnapping/Abduction None 12,283 27.48\%
Kidnapping/Abduction Handgun 2,825 6.32\%
Kidnapping/Abduction Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 1,984 4.44\%
Kidnapping/Abduction Other 1,850 4.14\%
Kidnapping/Abduction Unknown 1,767 3.95\%
Kidnapping/Abduction Firearm (Type Not Stated) 1,081 2.42\%
Kidnapping/Abduction Motor Vehicle/Vessel 527 1.18\%
Kidnapping/Abduction Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 476 1.06\%
Kidnapping/Abduction Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 215 0.48\%
Kidnapping/Abduction Rifle 157 0.35\%
Kidnapping/Abduction Shotgun 77 0.17\%
Kidnapping/Abduction Other Firearm 77 0.17\%
Kidnapping/Abduction Drugs/Narcotics/Sleeping Pills 40 0.09\%
Kidnapping/Abduction Fire/Incendiary Device 15 0.03\%
Kidnapping/Abduction Poison (Include Gas) 5 0.01\%
Kidnapping/Abduction Explosives 2 0.00\%
Kidnapping/Abduction Total 44,695 100\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Personal Weapons (Hands, Feet, Teeth, Etc.) 46,721 54.31\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) None 31,270 36.35\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Unknown 5,636 6.55\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Other 1,871 2.17\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 144 0.17\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Handgun 103 0.12\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Drugs/Narcotics/Sleeping Pills 75 0.09\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Firearm (Type Not Stated) 73 0.08\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 62 0.07\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 27 0.03\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Motor Vehicle/Vessel 17 0.02\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Other Firearm 16 0.02\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Poison (Include Gas) 8 0.01\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Rifle 7 0.01\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Fire/Incendiary Device 2 0.00\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Explosives 1 0.00\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Shotgun 1 0.00\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Total 86,034 100\%
Human Trafficking - Commercial Sex Acts None 1,149 55.00\%
Human Trafficking - Commercial Sex Acts Personal Weapons (Hands, Feet, Teeth, Etc.) 400 19.15\%
Human Trafficking - Commercial Sex Acts Unknown 315 15.08\%
Human Trafficking - Commercial Sex Acts Other 138 6.61\%
Human Trafficking - Commercial Sex Acts Handgun 34 1.63\%
Human Trafficking - Commercial Sex Acts Firearm (Type Not Stated) 16 0.77\%
Human Trafficking - Commercial Sex Acts Drugs/Narcotics/Sleeping Pills 15 0.72\%
Human Trafficking - Commercial Sex Acts Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 8 0.38\%
Human Trafficking - Commercial Sex Acts Motor Vehicle/Vessel 7 0.34\%
Human Trafficking - Commercial Sex Acts Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 4 0.19\%
Human Trafficking - Commercial Sex Acts Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 2 0.10\%
Human Trafficking - Commercial Sex Acts Poison (Include Gas) 1 0.05\%
Human Trafficking - Commercial Sex Acts Total 2,089 100\%
Negligent Manslaughter Motor Vehicle/Vessel 933 51.78\%
Negligent Manslaughter Other 235 13.04\%
Negligent Manslaughter Handgun 174 9.66\%
Negligent Manslaughter Drugs/Narcotics/Sleeping Pills 162 8.99\%
Negligent Manslaughter Unknown 81 4.50\%
Negligent Manslaughter Personal Weapons (Hands, Feet, Teeth, Etc.) 77 4.27\%
Negligent Manslaughter Firearm (Type Not Stated) 55 3.05\%
Negligent Manslaughter Rifle 18 1.00\%
Negligent Manslaughter Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 17 0.94\%
Negligent Manslaughter Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 16 0.89\%
Negligent Manslaughter Fire/Incendiary Device 10 0.55\%
Negligent Manslaughter Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 8 0.44\%
Negligent Manslaughter Other Firearm 6 0.33\%
Negligent Manslaughter Shotgun 6 0.33\%
Negligent Manslaughter Poison (Include Gas) 4 0.22\%
Negligent Manslaughter Total 1,802 100\%
Extortion/Blackmail None 21,675 80.18\%
Extortion/Blackmail Other 2,298 8.50\%
Extortion/Blackmail Personal Weapons (Hands, Feet, Teeth, Etc.) 1,384 5.12\%
Extortion/Blackmail Unknown 1,343 4.97\%
Extortion/Blackmail Firearm (Type Not Stated) 122 0.45\%
Extortion/Blackmail Handgun 91 0.34\%
Extortion/Blackmail Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 38 0.14\%
Extortion/Blackmail Rifle 32 0.12\%
Extortion/Blackmail Explosives 16 0.06\%
Extortion/Blackmail Other Firearm 16 0.06\%
Extortion/Blackmail Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 9 0.03\%
Extortion/Blackmail Drugs/Narcotics/Sleeping Pills 4 0.01\%
Extortion/Blackmail Fire/Incendiary Device 2 0.01\%
Extortion/Blackmail Motor Vehicle/Vessel 2 0.01\%
Extortion/Blackmail Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 1 0.00\%
Extortion/Blackmail Poison (Include Gas) 1 0.00\%
Extortion/Blackmail Total 27,034 100\%
Justifiable Homicide - Not A Crime Handgun 410 61.10\%
Justifiable Homicide - Not A Crime Firearm (Type Not Stated) 167 24.89\%
Justifiable Homicide - Not A Crime Rifle 38 5.66\%
Justifiable Homicide - Not A Crime Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 27 4.02\%
Justifiable Homicide - Not A Crime Personal Weapons (Hands, Feet, Teeth, Etc.) 8 1.19\%
Justifiable Homicide - Not A Crime Other Firearm 6 0.89\%
Justifiable Homicide - Not A Crime Shotgun 5 0.75\%
Justifiable Homicide - Not A Crime Unknown 4 0.60\%
Justifiable Homicide - Not A Crime Motor Vehicle/Vessel 2 0.30\%
Justifiable Homicide - Not A Crime Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 2 0.30\%
Justifiable Homicide - Not A Crime Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 1 0.15\%
Justifiable Homicide - Not A Crime Other 1 0.15\%
Justifiable Homicide - Not A Crime Total 671 100\%
Human Trafficking - Involuntary Servitude None 242 48.89\%
Human Trafficking - Involuntary Servitude Personal Weapons (Hands, Feet, Teeth, Etc.) 100 20.20\%
Human Trafficking - Involuntary Servitude Unknown 82 16.57\%
Human Trafficking - Involuntary Servitude Other 34 6.87\%
Human Trafficking - Involuntary Servitude Handgun 12 2.42\%
Human Trafficking - Involuntary Servitude Firearm (Type Not Stated) 7 1.41\%
Human Trafficking - Involuntary Servitude Drugs/Narcotics/Sleeping Pills 5 1.01\%
Human Trafficking - Involuntary Servitude Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) 5 1.01\%
Human Trafficking - Involuntary Servitude Other Firearm 2 0.40\%
Human Trafficking - Involuntary Servitude Poison (Include Gas) 2 0.40\%
Human Trafficking - Involuntary Servitude Motor Vehicle/Vessel 2 0.40\%
Human Trafficking - Involuntary Servitude Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) 1 0.20\%
Human Trafficking - Involuntary Servitude Blunt Object (E.g., Club/Blackjack/Brass Knuckles) 1 0.20\%
Human Trafficking - Involuntary Servitude Total 495 100\%
Weapon Law Violations - Explosives Explosives 1 100.00\%
Weapon Law Violations - Explosives Total 1 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseWeapon)The weapon used by an offender, by offense, 2023. The use means that it was part of the crime though may not have been physically discharged. For example, pointing a gun at someone even without firing the gun is still using it.}\\ +\hline +Crime & Weapon & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseWeapon)The weapon used by an offender, by offense, 2023. The use means that it was part of the crime though may not have been physically discharged. For example, pointing a gun at someone even without firing the gun is still using it. \textit{(continued)}}\\ +\hline +Crime & Weapon & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Assault Offenses - Simple Assault & Personal Weapons (Hands, Feet, Teeth, Etc.) & 1,517,722 & 78.42\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & None & 220,695 & 11.40\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Other & 145,694 & 7.53\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Unknown & 51,206 & 2.65\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Total & 1,935,317 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Personal Weapons (Hands, Feet, Teeth, Etc.) & 124,452 & 20.57\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Handgun & 107,390 & 17.75\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 104,074 & 17.20\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 61,632 & 10.18\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Firearm (Type Not Stated) & 60,172 & 9.94\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Other & 59,352 & 9.81\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Motor Vehicle/Vessel & 28,034 & 4.63\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & None & 17,828 & 2.95\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 13,348 & 2.21\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Unknown & 12,175 & 2.01\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Rifle & 5,933 & 0.98\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Other Firearm & 4,794 & 0.79\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Shotgun & 3,082 & 0.51\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Fire/Incendiary Device & 1,004 & 0.17\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Drugs/Narcotics/Sleeping Pills & 1,002 & 0.17\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Poison (Include Gas) & 635 & 0.10\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Explosives & 252 & 0.04\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Total & 605,159 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Handgun & 183,188 & 51.57\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Firearm (Type Not Stated) & 69,353 & 19.52\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 34,725 & 9.78\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Other & 17,587 & 4.95\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & None & 13,074 & 3.68\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Rifle & 9,476 & 2.67\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 7,426 & 2.09\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Unknown & 5,582 & 1.57\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Other Firearm & 5,578 & 1.57\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Shotgun & 4,940 & 1.39\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Explosives & 1,858 & 0.52\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Personal Weapons (Hands, Feet, Teeth, Etc.) & 1,352 & 0.38\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Fire/Incendiary Device & 409 & 0.12\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Motor Vehicle/Vessel & 374 & 0.11\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Drugs/Narcotics/Sleeping Pills & 220 & 0.06\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Poison (Include Gas) & 75 & 0.02\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 24 & 0.01\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Total & 355,241 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Personal Weapons (Hands, Feet, Teeth, Etc.) & 4,813 & 60.28\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & None & 1,658 & 20.77\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Unknown & 600 & 7.52\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Other & 559 & 7.00\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 167 & 2.09\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 80 & 1.00\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Drugs/Narcotics/Sleeping Pills & 45 & 0.56\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Handgun & 30 & 0.38\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Firearm (Type Not Stated) & 14 & 0.18\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 11 & 0.14\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Other Firearm & 2 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Poison (Include Gas) & 2 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Motor Vehicle/Vessel & 1 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Explosives & 1 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Shotgun & 1 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Total & 7,984 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Personal Weapons (Hands, Feet, Teeth, Etc.) & 41,014 & 52.17\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & None & 23,802 & 30.28\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Unknown & 7,928 & 10.08\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Other & 2,638 & 3.36\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Handgun & 887 & 1.13\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 796 & 1.01\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Drugs/Narcotics/Sleeping Pills & 684 & 0.87\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Firearm (Type Not Stated) & 392 & 0.50\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 191 & 0.24\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 175 & 0.22\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Poison (Include Gas) & 29 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Other Firearm & 28 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Rifle & 18 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Motor Vehicle/Vessel & 13 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Fire/Incendiary Device & 9 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Shotgun & 8 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Total & 78,612 & 100\textbackslash{}\%\\ +\hline +Robbery & Personal Weapons (Hands, Feet, Teeth, Etc.) & 55,139 & 30.77\textbackslash{}\%\\ +\hline +Robbery & Handgun & 47,636 & 26.58\textbackslash{}\%\\ +\hline +Robbery & None & 23,733 & 13.24\textbackslash{}\%\\ +\hline +Robbery & Firearm (Type Not Stated) & 15,231 & 8.50\textbackslash{}\%\\ +\hline +Robbery & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 14,983 & 8.36\textbackslash{}\%\\ +\hline +Robbery & Other & 9,081 & 5.07\textbackslash{}\%\\ +\hline +Robbery & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 4,780 & 2.67\textbackslash{}\%\\ +\hline +Robbery & Unknown & 4,563 & 2.55\textbackslash{}\%\\ +\hline +Robbery & Other Firearm & 1,296 & 0.72\textbackslash{}\%\\ +\hline +Robbery & Rifle & 1,251 & 0.70\textbackslash{}\%\\ +\hline +Robbery & Motor Vehicle/Vessel & 801 & 0.45\textbackslash{}\%\\ +\hline +Robbery & Shotgun & 363 & 0.20\textbackslash{}\%\\ +\hline +Robbery & Poison (Include Gas) & 107 & 0.06\textbackslash{}\%\\ +\hline +Robbery & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 101 & 0.06\textbackslash{}\%\\ +\hline +Robbery & Explosives & 57 & 0.03\textbackslash{}\%\\ +\hline +Robbery & Fire/Incendiary Device & 42 & 0.02\textbackslash{}\%\\ +\hline +Robbery & Drugs/Narcotics/Sleeping Pills & 42 & 0.02\textbackslash{}\%\\ +\hline +Robbery & Total & 179,206 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Personal Weapons (Hands, Feet, Teeth, Etc.) & 10,233 & 50.14\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & None & 7,151 & 35.04\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Unknown & 1,415 & 6.93\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Other & 780 & 3.82\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Handgun & 242 & 1.19\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 207 & 1.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Drugs/Narcotics/Sleeping Pills & 140 & 0.69\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Firearm (Type Not Stated) & 94 & 0.46\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 94 & 0.46\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 30 & 0.15\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Other Firearm & 8 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Motor Vehicle/Vessel & 6 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Shotgun & 5 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Rifle & 3 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Poison (Include Gas) & 2 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Total & 20,410 & 100\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Handgun & 5,808 & 39.08\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Firearm (Type Not Stated) & 4,624 & 31.11\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 1,306 & 8.79\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Unknown & 607 & 4.08\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Personal Weapons (Hands, Feet, Teeth, Etc.) & 575 & 3.87\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Rifle & 370 & 2.49\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Other Firearm & 367 & 2.47\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Other & 264 & 1.78\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 245 & 1.65\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Drugs/Narcotics/Sleeping Pills & 201 & 1.35\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Motor Vehicle/Vessel & 199 & 1.34\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Shotgun & 146 & 0.98\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 82 & 0.55\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Fire/Incendiary Device & 51 & 0.34\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Poison (Include Gas) & 16 & 0.11\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Total & 14,861 & 100\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Personal Weapons (Hands, Feet, Teeth, Etc.) & 21,314 & 47.69\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & None & 12,283 & 27.48\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Handgun & 2,825 & 6.32\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 1,984 & 4.44\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Other & 1,850 & 4.14\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Unknown & 1,767 & 3.95\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Firearm (Type Not Stated) & 1,081 & 2.42\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Motor Vehicle/Vessel & 527 & 1.18\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 476 & 1.06\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 215 & 0.48\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Rifle & 157 & 0.35\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Shotgun & 77 & 0.17\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Other Firearm & 77 & 0.17\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Drugs/Narcotics/Sleeping Pills & 40 & 0.09\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Fire/Incendiary Device & 15 & 0.03\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Poison (Include Gas) & 5 & 0.01\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Explosives & 2 & 0.00\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Total & 44,695 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Personal Weapons (Hands, Feet, Teeth, Etc.) & 46,721 & 54.31\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & None & 31,270 & 36.35\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Unknown & 5,636 & 6.55\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Other & 1,871 & 2.17\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 144 & 0.17\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Handgun & 103 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Drugs/Narcotics/Sleeping Pills & 75 & 0.09\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Firearm (Type Not Stated) & 73 & 0.08\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 62 & 0.07\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 27 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Motor Vehicle/Vessel & 17 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Other Firearm & 16 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Poison (Include Gas) & 8 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Rifle & 7 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Fire/Incendiary Device & 2 & 0.00\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Explosives & 1 & 0.00\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Shotgun & 1 & 0.00\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Total & 86,034 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & None & 1,149 & 55.00\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Personal Weapons (Hands, Feet, Teeth, Etc.) & 400 & 19.15\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Unknown & 315 & 15.08\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Other & 138 & 6.61\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Handgun & 34 & 1.63\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Firearm (Type Not Stated) & 16 & 0.77\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Drugs/Narcotics/Sleeping Pills & 15 & 0.72\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 8 & 0.38\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Motor Vehicle/Vessel & 7 & 0.34\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 4 & 0.19\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 2 & 0.10\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Poison (Include Gas) & 1 & 0.05\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Total & 2,089 & 100\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Motor Vehicle/Vessel & 933 & 51.78\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Other & 235 & 13.04\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Handgun & 174 & 9.66\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Drugs/Narcotics/Sleeping Pills & 162 & 8.99\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Unknown & 81 & 4.50\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Personal Weapons (Hands, Feet, Teeth, Etc.) & 77 & 4.27\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Firearm (Type Not Stated) & 55 & 3.05\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Rifle & 18 & 1.00\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 17 & 0.94\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 16 & 0.89\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Fire/Incendiary Device & 10 & 0.55\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 8 & 0.44\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Other Firearm & 6 & 0.33\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Shotgun & 6 & 0.33\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Poison (Include Gas) & 4 & 0.22\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Total & 1,802 & 100\textbackslash{}\%\\ +\hline +Extortion/Blackmail & None & 21,675 & 80.18\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Other & 2,298 & 8.50\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Personal Weapons (Hands, Feet, Teeth, Etc.) & 1,384 & 5.12\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Unknown & 1,343 & 4.97\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Firearm (Type Not Stated) & 122 & 0.45\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Handgun & 91 & 0.34\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 38 & 0.14\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Rifle & 32 & 0.12\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Explosives & 16 & 0.06\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Other Firearm & 16 & 0.06\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 9 & 0.03\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Drugs/Narcotics/Sleeping Pills & 4 & 0.01\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Fire/Incendiary Device & 2 & 0.01\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Motor Vehicle/Vessel & 2 & 0.01\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 1 & 0.00\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Poison (Include Gas) & 1 & 0.00\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Total & 27,034 & 100\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Handgun & 410 & 61.10\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Firearm (Type Not Stated) & 167 & 24.89\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Rifle & 38 & 5.66\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 27 & 4.02\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Personal Weapons (Hands, Feet, Teeth, Etc.) & 8 & 1.19\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Other Firearm & 6 & 0.89\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Shotgun & 5 & 0.75\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Unknown & 4 & 0.60\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Motor Vehicle/Vessel & 2 & 0.30\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 2 & 0.30\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 1 & 0.15\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Other & 1 & 0.15\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Total & 671 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & None & 242 & 48.89\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Personal Weapons (Hands, Feet, Teeth, Etc.) & 100 & 20.20\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Unknown & 82 & 16.57\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Other & 34 & 6.87\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Handgun & 12 & 2.42\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Firearm (Type Not Stated) & 7 & 1.41\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Drugs/Narcotics/Sleeping Pills & 5 & 1.01\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Lethal Cutting Instrument (Knife, Ice Pick, Screwdriver, Ax, Etc.) & 5 & 1.01\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Other Firearm & 2 & 0.40\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Poison (Include Gas) & 2 & 0.40\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Motor Vehicle/Vessel & 2 & 0.40\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Asphyxiation (By Drowning, Strangulation, Suffocation, Gas, Etc.) & 1 & 0.20\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Blunt Object (E.g., Club/Blackjack/Brass Knuckles) & 1 & 0.20\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Total & 495 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Explosives & 1 & 100.00\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Total & 1 & 100\textbackslash{}\%\\ +\hline +\end{longtable} We can use this dataset to look at, for example, trends in the type of weapon used in murders and nonnegligent manslaughters over time, as seen in Figure \@ref(nibrsMurdersWeapon). We can see that guns are the most common weapon are over 60% of murders in most years. Most of these guns are handguns, with about 35% of all murders using a handgun. Other weapons are far less common making up fewer than 20% of offenses most years. There are different agencies reporting each year so differents in trends may simply be due to different agencies in the data. For your own analysis you will need to be far more careful than the figure shown here. -
-The annual percent of murders and nonnegligent homicides, by offender weapon, 1991-2023. -

(\#fig:nibrsMurdersWeapon)The annual percent of murders and nonnegligent homicides, by offender weapon, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/nibrsMurdersWeapon-1} + +} + +\caption{The annual percent of murders and nonnegligent homicides, by offender weapon, 1991-2023.}(\#fig:nibrsMurdersWeapon) +\end{figure} ### Automatic weapons When the weapon involved was a firearm there is a variable which indicates that the firearm was fully automatic. To be clear, this means that when you pull the trigger once the gun will fire multiple bullets. Semi-automatic firearms are **not** automatic firearms. Of course, saying a gun is fully automatic requires either the policing seizing the gun or the gun being fired (and for witnesses to accurately determine that it is fully automatic). Since many crimes are never solved (and even those that lead to an arrest may not lead to the gun being seized^[Though some guns are seized even without an arrest, such as if the gun is left at the crime scene], this variable is likely imprecise. Still, Figure \@ref(fig:offenseAutomaticWeapon) shows the percent of firearms used in offenses in 2022 that are reported to be fully automatic. Even though there can be up to three weapons used in an offense, this figure only looks at the first weapon. The most common guns to be automatic are rifles and handguns, both with about 5% of all uses being of an automatic weapon. The remaining categories are all under 3% of uses. -
-The percent of firearms used that were fully automatic, for all offenses, 1991-2023. -

(\#fig:offenseAutomaticWeapon)The percent of firearms used that were fully automatic, for all offenses, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/offenseAutomaticWeapon-1} + +} + +\caption{The percent of firearms used that were fully automatic, for all offenses, 1991-2023.}(\#fig:offenseAutomaticWeapon) +\end{figure} ## Burglary info For burglary offenses there are two variables that provide a little more information on the offense. The first variable is the number of "premises" that the burglar entered. This is only available when the location for the offense is either hotel/motel or a rental storage facility. So the "premise" can really be thought of as a room in the building, not that they break into multiple hotels. Figure \@ref(fig:offensePremisesEntered) shows the breakdown in the number of premises entered during a burglary incident. The graph is capped at ten or more for simplicity but in the data itself the number can go higher. The vast majority of hotel/motel and storage facility burglaries only have one room entered, with 87% of these burglaries only being on a single room. This declines enormously to 5% burglarizing two rooms and then more than halves to 2% burglarizing three rooms. This trend continues as the number of rooms increase. -
-The distribution in the number of premises entered during burglaries, 2023. This information is only available for burglaries in a hotel/motel or rental storage facilities. -

(\#fig:offensePremisesEntered)The distribution in the number of premises entered during burglaries, 2023. This information is only available for burglaries in a hotel/motel or rental storage facilities.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/offensePremisesEntered-1} + +} + +\caption{The distribution in the number of premises entered during burglaries, 2023. This information is only available for burglaries in a hotel/motel or rental storage facilities.}(\#fig:offensePremisesEntered) +\end{figure} The second variable, and one where there is data from every burglary reported regardless of location, says whether the burglar entered the building forcibly or not. A burglary without force is one when the burglary *only* enters through unlocked doors or windows. The *only* means that if they entered through an unlocked door or window and then forced open another door or window, the entire burglary is classified as forcible entry. Forcible entry is any when the burglar has to access a locked door or window *through any means of entering*. This is very broad and includes actions ranging from breaking the window - which people generally think of when it comes to forcible entry - to less obvious uses of force like picking the lock or even using a passcard (e.g. a hotel room card) to unlock the door. The FBI also includes when a burglar enters a building legally and then stays past their allowed time such as walking into a store and hiding somewhere until past closing time. Figure \@ref(fig:nibrsBurglaryForce) shows the annual trend in the share of burglaries with or without force. Nearly all burglaries at the start of our data used force and has steadily declined until fewer than 60% of burglaries have force in 2022. However, this data is likely affected by differences in reporting by whether force was used. For example, consider two cases of burglary in which the victim does not notice any property stolen. If you come home and find your front door kicked in you'll almost certainly call the police, regardless of if you find any property taken. But if you come home and the door is just unlocked, and do not notice anything stolen, then you may just chalk it up to forgetting to lock the door and never alert the police. -
-The annual percent of burglaries, by whether entry used force, 1991-2023. -

(\#fig:nibrsBurglaryForce)The annual percent of burglaries, by whether entry used force, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/nibrsBurglaryForce-1} + +} + +\caption{The annual percent of burglaries, by whether entry used force, 1991-2023.}(\#fig:nibrsBurglaryForce) +\end{figure} ## Hate crime indicator (bias motivation) @@ -16430,33 +7711,25 @@ For each offense, NIBRS indicates whether it had a bias motivation, which is NIB Table \@ref(tab:offenseBiasMotivation) shows the percent of all offenses in 2022 that were classified with or without a bias motivation. Nearly all offenses - 99.9% - are without a bias motivation or with an unknown bias motivation meaning that they are not considered hate crimes. - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseBiasMotivation)The number and percent of incidents that had a known bias motivation for all incidents reported in 2022.
Bias Motivation \# of Offenses \% of Offenses
No Bias Motivation 12,278,184 99.41\%
Bias Motivation 73,366 0.59\%
Total 12,351,550 100\%
+ +\begin{longtable}[t]{l|l|r} +\caption{(\#tab:offenseBiasMotivation)The number and percent of incidents that had a known bias motivation for all incidents reported in 2022.}\\ +\hline +Bias Motivation & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseBiasMotivation)The number and percent of incidents that had a known bias motivation for all incidents reported in 2022. \textit{(continued)}}\\ +\hline +Bias Motivation & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +No Bias Motivation & 12,278,184 & 99.41\textbackslash{}\%\\ +\hline +Bias Motivation & 73,366 & 0.59\textbackslash{}\%\\ +\hline +Total & 12,351,550 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -16464,1977 +7737,611 @@ In Table \@ref(tab:offenseBiasMotivationBiases) we can see the breakdown in the Some of these groups are also subsets of larger groups. For example, anti-Muslim, anti-Arab, and anti-Sikh (while Sikhs are not Muslim or Arabic, some Sikhs have been targeted by people who incorrectly believe that they are) are probably all the same bias motivation. Likewise, attacks on LGBT people are in multiple categories, which allows for a more detailed understanding of these hate crimes but requires aggregation to look at them as a group. While this aggregation is easy enough to do, accidentally missing any of the subcategories could vastly undercount offenses against the larger category. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseBiasMotivationBiases)The bias motivation (i.e. if it was a hate crime and what type of hate crime) for all incidents reported in 2022 that were classified as hate crimes.
Bias Motivation First Year \# of Offenses \% of Offenses
Unknown (Offenders Motivation Not Known) 1992 63,648 86.75\%
Anti-Black Or African American - 2,522 3.44\%
Anti-Jewish 1992 1,415 1.93\%
Anti-Gay (Male) 1992 866 1.18\%
Anti-White 1992 776 1.06\%
Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) 1992 740 1.01\%
Anti-Hispanic Or Latino 1992 680 0.93\%
Anti-Other Race, Ethnicity, Ancestry, Or National Origin 1993 361 0.49\%
Anti-Asian 1992 319 0.43\%
Anti-Transgender 2013 307 0.42\%
Anti-Islamic (Muslim) 1994 199 0.27\%
Anti-Multiple Races, Group 1993 186 0.25\%
Anti-Sikh 2015 137 0.19\%
Anti-Lesbian (Female) 1993 136 0.19\%
Anti-Gender Non-Conforming 2013 126 0.17\%
Anti-Arab 1993 122 0.17\%
Anti-American Indian Or Alaskan Native 1993 102 0.14\%
Anti-Other Religion 1992 98 0.13\%
Anti-Mental Disability 1998 94 0.13\%
Anti-Physical Disability 1997 75 0.10\%
Anti-Catholic 1993 66 0.09\%
Anti-Other Christian 2015 63 0.09\%
Anti-Female 2012 59 0.08\%
Anti-Eastern Orthodox (Greek, Russian, Other) 2015 44 0.06\%
Anti-Multiple Religions, Group 1993 38 0.05\%
Anti-Bisexual 1994 29 0.04\%
Anti-Protestant 1993 25 0.03\%
Anti-Male 2012 22 0.03\%
Anti-Hindu 2015 21 0.03\%
Anti-Buddhist 2016 20 0.03\%
Anti-Church of Jesus Christ (Mormon) 2015 16 0.02\%
Anti-Atheism/Agnosticism 1993 16 0.02\%
Anti-Native Hawaiian Or Other Pacific Islander 2013 15 0.02\%
Anti-Heterosexual 1993 12 0.02\%
Anti-Jehovahs Witness 2016 11 0.01\%
Total - 73,366 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseBiasMotivationBiases)The bias motivation (i.e. if it was a hate crime and what type of hate crime) for all incidents reported in 2022 that were classified as hate crimes.}\\ +\hline +Bias Motivation & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseBiasMotivationBiases)The bias motivation (i.e. if it was a hate crime and what type of hate crime) for all incidents reported in 2022 that were classified as hate crimes. \textit{(continued)}}\\ +\hline +Bias Motivation & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Unknown (Offenders Motivation Not Known) & 1992 & 63,648 & 86.75\textbackslash{}\%\\ +\hline +Anti-Black Or African American & - & 2,522 & 3.44\textbackslash{}\%\\ +\hline +Anti-Jewish & 1992 & 1,415 & 1.93\textbackslash{}\%\\ +\hline +Anti-Gay (Male) & 1992 & 866 & 1.18\textbackslash{}\%\\ +\hline +Anti-White & 1992 & 776 & 1.06\textbackslash{}\%\\ +\hline +Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & 1992 & 740 & 1.01\textbackslash{}\%\\ +\hline +Anti-Hispanic Or Latino & 1992 & 680 & 0.93\textbackslash{}\%\\ +\hline +Anti-Other Race, Ethnicity, Ancestry, Or National Origin & 1993 & 361 & 0.49\textbackslash{}\%\\ +\hline +Anti-Asian & 1992 & 319 & 0.43\textbackslash{}\%\\ +\hline +Anti-Transgender & 2013 & 307 & 0.42\textbackslash{}\%\\ +\hline +Anti-Islamic (Muslim) & 1994 & 199 & 0.27\textbackslash{}\%\\ +\hline +Anti-Multiple Races, Group & 1993 & 186 & 0.25\textbackslash{}\%\\ +\hline +Anti-Sikh & 2015 & 137 & 0.19\textbackslash{}\%\\ +\hline +Anti-Lesbian (Female) & 1993 & 136 & 0.19\textbackslash{}\%\\ +\hline +Anti-Gender Non-Conforming & 2013 & 126 & 0.17\textbackslash{}\%\\ +\hline +Anti-Arab & 1993 & 122 & 0.17\textbackslash{}\%\\ +\hline +Anti-American Indian Or Alaskan Native & 1993 & 102 & 0.14\textbackslash{}\%\\ +\hline +Anti-Other Religion & 1992 & 98 & 0.13\textbackslash{}\%\\ +\hline +Anti-Mental Disability & 1998 & 94 & 0.13\textbackslash{}\%\\ +\hline +Anti-Physical Disability & 1997 & 75 & 0.10\textbackslash{}\%\\ +\hline +Anti-Catholic & 1993 & 66 & 0.09\textbackslash{}\%\\ +\hline +Anti-Other Christian & 2015 & 63 & 0.09\textbackslash{}\%\\ +\hline +Anti-Female & 2012 & 59 & 0.08\textbackslash{}\%\\ +\hline +Anti-Eastern Orthodox (Greek, Russian, Other) & 2015 & 44 & 0.06\textbackslash{}\%\\ +\hline +Anti-Multiple Religions, Group & 1993 & 38 & 0.05\textbackslash{}\%\\ +\hline +Anti-Bisexual & 1994 & 29 & 0.04\textbackslash{}\%\\ +\hline +Anti-Protestant & 1993 & 25 & 0.03\textbackslash{}\%\\ +\hline +Anti-Male & 2012 & 22 & 0.03\textbackslash{}\%\\ +\hline +Anti-Hindu & 2015 & 21 & 0.03\textbackslash{}\%\\ +\hline +Anti-Buddhist & 2016 & 20 & 0.03\textbackslash{}\%\\ +\hline +Anti-Church of Jesus Christ (Mormon) & 2015 & 16 & 0.02\textbackslash{}\%\\ +\hline +Anti-Atheism/Agnosticism & 1993 & 16 & 0.02\textbackslash{}\%\\ +\hline +Anti-Native Hawaiian Or Other Pacific Islander & 2013 & 15 & 0.02\textbackslash{}\%\\ +\hline +Anti-Heterosexual & 1993 & 12 & 0.02\textbackslash{}\%\\ +\hline +Anti-Jehovahs Witness & 2016 & 11 & 0.01\textbackslash{}\%\\ +\hline +Total & - & 73,366 & 100\textbackslash{}\%\\ +\hline +\end{longtable} Even as the number of agencies reporting to NIBRS increased over time, the share of offenses that are considered hate crimes has remained fairly steady, as shown in Figure \@ref(fig:nibrsOffenseBias) with no year having more than 0.1% of offenses considered hate crimes. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseBiasOffense)The number and percent of offenses by bias motivation, 2023.
bias Offense \# of Offenses \% of Offenses
...1 Anti-American Indian Or Alaskan Native Assault Offenses - Simple Assault 24 21.82\%
...2 Anti-American Indian Or Alaskan Native Assault Offenses - Aggravated Assault 15 13.64\%
...3 Anti-American Indian Or Alaskan Native Larceny/Theft Offenses - All Other Larceny 10 9.09\%
...4 Anti-American Indian Or Alaskan Native Destruction/Damage/Vandalism of Property 10 9.09\%
...5 Anti-American Indian Or Alaskan Native Larceny/Theft Offenses - Shoplifting 8 7.27\%
...6 Anti-American Indian Or Alaskan Native All Other 43 39.11\%
...7 Anti-American Indian Or Alaskan Native Total 110 100\%
...8 Anti-Arab Assault Offenses - Intimidation 51 38.35\%
...9 Anti-Arab Assault Offenses - Simple Assault 36 27.07\%
...10 Anti-Arab Destruction/Damage/Vandalism of Property 23 17.29\%
...11 Anti-Arab Assault Offenses - Aggravated Assault 15 11.28\%
...12 Anti-Arab Fraud Offenses - Identity Theft 2 1.50\%
...13 Anti-Arab All Other 6 4.5\%
...14 Anti-Arab Total 133 100\%
...15 Anti-Asian Assault Offenses - Simple Assault 103 29.86\%
...16 Anti-Asian Assault Offenses - Intimidation 99 28.70\%
...17 Anti-Asian Destruction/Damage/Vandalism of Property 69 20.00\%
...18 Anti-Asian Assault Offenses - Aggravated Assault 34 9.86\%
...19 Anti-Asian Robbery 11 3.19\%
...20 Anti-Asian All Other 29 8.41\%
...21 Anti-Asian Total 345 100\%
...22 Anti-Atheism/Agnosticism Assault Offenses - Intimidation 5 31.25\%
...23 Anti-Atheism/Agnosticism Assault Offenses - Simple Assault 4 25.00\%
...24 Anti-Atheism/Agnosticism Destruction/Damage/Vandalism of Property 2 12.50\%
...25 Anti-Atheism/Agnosticism Assault Offenses - Aggravated Assault 2 12.50\%
...26 Anti-Atheism/Agnosticism Larceny/Theft Offenses - All Other Larceny 1 6.25\%
...27 Anti-Atheism/Agnosticism All Other 2 12.5\%
...28 Anti-Atheism/Agnosticism Total 16 100\%
...29 Anti-Bisexual Assault Offenses - Intimidation 8 23.53\%
...30 Anti-Bisexual Assault Offenses - Simple Assault 7 20.59\%
...31 Anti-Bisexual Destruction/Damage/Vandalism of Property 6 17.65\%
...32 Anti-Bisexual Assault Offenses - Aggravated Assault 3 8.82\%
...33 Anti-Bisexual Extortion/Blackmail 3 8.82\%
...34 Anti-Bisexual All Other 7 20.58\%
...35 Anti-Bisexual Total 34 100\%
...36 Anti-Black Or African American Assault Offenses - Intimidation 937 34.45\%
...37 Anti-Black Or African American Destruction/Damage/Vandalism of Property 764 28.09\%
...38 Anti-Black Or African American Assault Offenses - Simple Assault 576 21.18\%
...39 Anti-Black Or African American Assault Offenses - Aggravated Assault 284 10.44\%
...40 Anti-Black Or African American Burglary/Breaking And Entering 27 0.99\%
...41 Anti-Black Or African American All Other 132 4.86\%
...42 Anti-Black Or African American Total 2,720 100\%
...43 Anti-Buddhist Assault Offenses - Simple Assault 4 19.05\%
...44 Anti-Buddhist Destruction/Damage/Vandalism of Property 3 14.29\%
...45 Anti-Buddhist Larceny/Theft Offenses - All Other Larceny 3 14.29\%
...46 Anti-Buddhist Assault Offenses - Intimidation 1 4.76\%
...47 Anti-Buddhist Drug/Narcotic Offenses - Drug/Narcotic Violations 1 4.76\%
...48 Anti-Buddhist All Other 9 42.84\%
...49 Anti-Buddhist Total 21 100\%
...50 Anti-Catholic Destruction/Damage/Vandalism of Property 54 71.05\%
...51 Anti-Catholic Assault Offenses - Intimidation 10 13.16\%
...52 Anti-Catholic Larceny/Theft Offenses - All Other Larceny 4 5.26\%
...53 Anti-Catholic Burglary/Breaking And Entering 3 3.95\%
...54 Anti-Catholic Arson 2 2.63\%
...55 Anti-Catholic All Other 3 3.96\%
...56 Anti-Catholic Total 76 100\%
1 Anti-Church of Jesus Christ (Mormon) Destruction/Damage/Vandalism of Property 9 56.25\%
2 Anti-Church of Jesus Christ (Mormon) Assault Offenses - Simple Assault 3 18.75\%
3 Anti-Church of Jesus Christ (Mormon) Assault Offenses - Intimidation 3 18.75\%
4 Anti-Church of Jesus Christ (Mormon) Arson 1 6.25\%
NA NA NA NA NA
...62 Anti-Church of Jesus Christ (Mormon) All Other NA NA\%
...63 Anti-Church of Jesus Christ (Mormon) Total 16 100\%
...64 Anti-Eastern Orthodox (Greek, Russian, Other) Destruction/Damage/Vandalism of Property 11 18.97\%
...65 Anti-Eastern Orthodox (Greek, Russian, Other) Drug/Narcotic Offenses - Drug/Narcotic Violations 6 10.34\%
...66 Anti-Eastern Orthodox (Greek, Russian, Other) Larceny/Theft Offenses - Shoplifting 6 10.34\%
...67 Anti-Eastern Orthodox (Greek, Russian, Other) Assault Offenses - Aggravated Assault 5 8.62\%
...68 Anti-Eastern Orthodox (Greek, Russian, Other) Assault Offenses - Simple Assault 4 6.90\%
...69 Anti-Eastern Orthodox (Greek, Russian, Other) All Other 26 44.83\%
...70 Anti-Eastern Orthodox (Greek, Russian, Other) Total 58 100\%
...71 Anti-Female Assault Offenses - Intimidation 17 25.00\%
...72 Anti-Female Assault Offenses - Simple Assault 15 22.06\%
...73 Anti-Female Assault Offenses - Aggravated Assault 8 11.76\%
...74 Anti-Female Destruction/Damage/Vandalism of Property 5 7.35\%
...75 Anti-Female Sex Offenses - Fondling (Indecent Liberties/Child Molest) 3 4.41\%
...76 Anti-Female All Other 20 29.4\%
...77 Anti-Female Total 68 100\%
...78 Anti-Gay (Male) Assault Offenses - Simple Assault 276 29.84\%
...79 Anti-Gay (Male) Assault Offenses - Intimidation 257 27.78\%
...80 Anti-Gay (Male) Destruction/Damage/Vandalism of Property 151 16.32\%
...81 Anti-Gay (Male) Assault Offenses - Aggravated Assault 129 13.95\%
...82 Anti-Gay (Male) Larceny/Theft Offenses - All Other Larceny 36 3.89\%
...83 Anti-Gay (Male) All Other 76 8.24\%
...84 Anti-Gay (Male) Total 925 100\%
...85 Anti-Gender Non-Conforming Destruction/Damage/Vandalism of Property 28 20.29\%
...86 Anti-Gender Non-Conforming Assault Offenses - Simple Assault 25 18.12\%
...87 Anti-Gender Non-Conforming Larceny/Theft Offenses - All Other Larceny 14 10.14\%
...88 Anti-Gender Non-Conforming Drug/Narcotic Offenses - Drug/Narcotic Violations 13 9.42\%
...89 Anti-Gender Non-Conforming Assault Offenses - Intimidation 13 9.42\%
...90 Anti-Gender Non-Conforming All Other 45 32.57\%
...91 Anti-Gender Non-Conforming Total 138 100\%
...92 Anti-Heterosexual Destruction/Damage/Vandalism of Property 4 30.77\%
...93 Anti-Heterosexual Assault Offenses - Intimidation 2 15.38\%
...94 Anti-Heterosexual Assault Offenses - Simple Assault 2 15.38\%
...95 Anti-Heterosexual Larceny/Theft Offenses - All Other Larceny 2 15.38\%
...96 Anti-Heterosexual Assault Offenses - Aggravated Assault 1 7.69\%
...97 Anti-Heterosexual All Other 2 15.38\%
...98 Anti-Heterosexual Total 13 100\%
...99 Anti-Hindu Destruction/Damage/Vandalism of Property 6 27.27\%
...100 Anti-Hindu Assault Offenses - Simple Assault 5 22.73\%
...101 Anti-Hindu Assault Offenses - Intimidation 5 22.73\%
...102 Anti-Hindu Motor Vehicle Theft 1 4.55\%
...103 Anti-Hindu Assault Offenses - Aggravated Assault 1 4.55\%
...104 Anti-Hindu All Other 4 18.2\%
...105 Anti-Hindu Total 22 100\%
...106 Anti-Hispanic Or Latino Assault Offenses - Intimidation 242 33.02\%
...107 Anti-Hispanic Or Latino Assault Offenses - Simple Assault 228 31.11\%
...108 Anti-Hispanic Or Latino Assault Offenses - Aggravated Assault 129 17.60\%
...109 Anti-Hispanic Or Latino Destruction/Damage/Vandalism of Property 75 10.23\%
...110 Anti-Hispanic Or Latino Robbery 19 2.59\%
...111 Anti-Hispanic Or Latino All Other 40 5.47\%
...112 Anti-Hispanic Or Latino Total 733 100\%
...113 Anti-Islamic (Muslim) Assault Offenses - Intimidation 99 46.05\%
...114 Anti-Islamic (Muslim) Destruction/Damage/Vandalism of Property 45 20.93\%
...115 Anti-Islamic (Muslim) Assault Offenses - Simple Assault 42 19.53\%
...116 Anti-Islamic (Muslim) Assault Offenses - Aggravated Assault 13 6.05\%
...117 Anti-Islamic (Muslim) Larceny/Theft Offenses - All Other Larceny 3 1.40\%
...118 Anti-Islamic (Muslim) All Other 13 6.07\%
...119 Anti-Islamic (Muslim) Total 215 100\%
...120 Anti-Jehovahs Witness Destruction/Damage/Vandalism of Property 4 28.57\%
...121 Anti-Jehovahs Witness Assault Offenses - Intimidation 1 7.14\%
...122 Anti-Jehovahs Witness Arson 1 7.14\%
...123 Anti-Jehovahs Witness Pornography/Obscene Material 1 7.14\%
...124 Anti-Jehovahs Witness Larceny/Theft Offenses - Theft From Motor Vehicle 1 7.14\%
...125 Anti-Jehovahs Witness All Other 6 42.84\%
...126 Anti-Jehovahs Witness Total 14 100\%
...127 Anti-Jewish Destruction/Damage/Vandalism of Property 784 52.34\%
...128 Anti-Jewish Assault Offenses - Intimidation 492 32.84\%
...129 Anti-Jewish Assault Offenses - Simple Assault 71 4.74\%
...130 Anti-Jewish Larceny/Theft Offenses - All Other Larceny 63 4.21\%
...131 Anti-Jewish Assault Offenses - Aggravated Assault 33 2.20\%
...132 Anti-Jewish All Other 55 3.68\%
...133 Anti-Jewish Total 1,498 100\%
...134 Anti-Lesbian (Female) Assault Offenses - Intimidation 52 35.37\%
...135 Anti-Lesbian (Female) Assault Offenses - Simple Assault 37 25.17\%
...136 Anti-Lesbian (Female) Destruction/Damage/Vandalism of Property 23 15.65\%
...137 Anti-Lesbian (Female) Assault Offenses - Aggravated Assault 18 12.24\%
...138 Anti-Lesbian (Female) Larceny/Theft Offenses - All Other Larceny 9 6.12\%
...139 Anti-Lesbian (Female) All Other 8 5.44\%
...140 Anti-Lesbian (Female) Total 147 100\%
...141 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Destruction/Damage/Vandalism of Property 277 33.58\%
...142 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Assault Offenses - Intimidation 169 20.48\%
...143 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Larceny/Theft Offenses - All Other Larceny 150 18.18\%
...144 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Assault Offenses - Simple Assault 124 15.03\%
...145 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Assault Offenses - Aggravated Assault 50 6.06\%
...146 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) All Other 55 6.65\%
...147 Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) Total 825 100\%
...148 Anti-Male Destruction/Damage/Vandalism of Property 6 23.08\%
...149 Anti-Male Assault Offenses - Simple Assault 6 23.08\%
...150 Anti-Male Assault Offenses - Intimidation 4 15.38\%
...151 Anti-Male Drug/Narcotic Offenses - Drug/Narcotic Violations 2 7.69\%
...152 Anti-Male Larceny/Theft Offenses - All Other Larceny 1 3.85\%
...153 Anti-Male All Other 7 26.95\%
...154 Anti-Male Total 26 100\%
...155 Anti-Mental Disability Assault Offenses - Simple Assault 30 27.78\%
...156 Anti-Mental Disability Assault Offenses - Aggravated Assault 22 20.37\%
...157 Anti-Mental Disability Assault Offenses - Intimidation 17 15.74\%
...158 Anti-Mental Disability Larceny/Theft Offenses - All Other Larceny 9 8.33\%
...159 Anti-Mental Disability Destruction/Damage/Vandalism of Property 8 7.41\%
...160 Anti-Mental Disability All Other 22 20.41\%
...161 Anti-Mental Disability Total 108 100\%
...162 Anti-Multiple Races, Group Destruction/Damage/Vandalism of Property 97 49.24\%
...163 Anti-Multiple Races, Group Assault Offenses - Intimidation 57 28.93\%
...164 Anti-Multiple Races, Group Assault Offenses - Simple Assault 23 11.68\%
...165 Anti-Multiple Races, Group Assault Offenses - Aggravated Assault 11 5.58\%
...166 Anti-Multiple Races, Group Weapon Law Violations - Weapon Law Violations 2 1.02\%
...167 Anti-Multiple Races, Group All Other 7 3.57\%
...168 Anti-Multiple Races, Group Total 197 100\%
...169 Anti-Multiple Religions, Group Destruction/Damage/Vandalism of Property 18 40.91\%
...170 Anti-Multiple Religions, Group Assault Offenses - Intimidation 7 15.91\%
...171 Anti-Multiple Religions, Group Assault Offenses - Simple Assault 7 15.91\%
...172 Anti-Multiple Religions, Group Larceny/Theft Offenses - All Other Larceny 3 6.82\%
...173 Anti-Multiple Religions, Group Drug/Narcotic Offenses - Drug/Narcotic Violations 2 4.55\%
...174 Anti-Multiple Religions, Group All Other 7 15.9\%
...175 Anti-Multiple Religions, Group Total 44 100\%
...176 Anti-Native Hawaiian Or Other Pacific Islander Assault Offenses - Simple Assault 5 31.25\%
...177 Anti-Native Hawaiian Or Other Pacific Islander Assault Offenses - Intimidation 4 25.00\%
...178 Anti-Native Hawaiian Or Other Pacific Islander Weapon Law Violations - Weapon Law Violations 2 12.50\%
...179 Anti-Native Hawaiian Or Other Pacific Islander Larceny/Theft Offenses - All Other Larceny 2 12.50\%
...180 Anti-Native Hawaiian Or Other Pacific Islander Kidnapping/Abduction 1 6.25\%
...181 Anti-Native Hawaiian Or Other Pacific Islander All Other 2 12.5\%
...182 Anti-Native Hawaiian Or Other Pacific Islander Total 16 100\%
...183 Anti-Other Christian Destruction/Damage/Vandalism of Property 34 47.89\%
...184 Anti-Other Christian Assault Offenses - Intimidation 16 22.54\%
...185 Anti-Other Christian Burglary/Breaking And Entering 4 5.63\%
...186 Anti-Other Christian Larceny/Theft Offenses - All Other Larceny 4 5.63\%
...187 Anti-Other Christian Assault Offenses - Simple Assault 4 5.63\%
...188 Anti-Other Christian All Other 9 12.69\%
...189 Anti-Other Christian Total 71 100\%
...190 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Destruction/Damage/Vandalism of Property 112 29.55\%
...191 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Assault Offenses - Intimidation 100 26.39\%
...192 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Assault Offenses - Simple Assault 84 22.16\%
...193 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Assault Offenses - Aggravated Assault 32 8.44\%
...194 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Larceny/Theft Offenses - All Other Larceny 15 3.96\%
...195 Anti-Other Race, Ethnicity, Ancestry, Or National Origin All Other 36 9.46\%
...196 Anti-Other Race, Ethnicity, Ancestry, Or National Origin Total 379 100\%
...197 Anti-Other Religion Destruction/Damage/Vandalism of Property 52 49.06\%
...198 Anti-Other Religion Assault Offenses - Intimidation 23 21.70\%
...199 Anti-Other Religion Assault Offenses - Simple Assault 9 8.49\%
...200 Anti-Other Religion Assault Offenses - Aggravated Assault 5 4.72\%
...201 Anti-Other Religion Burglary/Breaking And Entering 4 3.77\%
...202 Anti-Other Religion All Other 13 12.26\%
...203 Anti-Other Religion Total 106 100\%
...204 Anti-Physical Disability Assault Offenses - Intimidation 27 32.53\%
...205 Anti-Physical Disability Assault Offenses - Simple Assault 24 28.92\%
...206 Anti-Physical Disability Destruction/Damage/Vandalism of Property 9 10.84\%
...207 Anti-Physical Disability Assault Offenses - Aggravated Assault 8 9.64\%
...208 Anti-Physical Disability Larceny/Theft Offenses - All Other Larceny 4 4.82\%
...209 Anti-Physical Disability All Other 11 13.22\%
...210 Anti-Physical Disability Total 83 100\%
...211 Anti-Protestant Destruction/Damage/Vandalism of Property 8 26.67\%
...212 Anti-Protestant Assault Offenses - Intimidation 3 10.00\%
...213 Anti-Protestant Burglary/Breaking And Entering 3 10.00\%
...214 Anti-Protestant Assault Offenses - Simple Assault 3 10.00\%
...215 Anti-Protestant Assault Offenses - Aggravated Assault 3 10.00\%
...216 Anti-Protestant All Other 10 33.33\%
...217 Anti-Protestant Total 30 100\%
...218 Anti-Sikh Destruction/Damage/Vandalism of Property 27 17.42\%
...219 Anti-Sikh Larceny/Theft Offenses - All Other Larceny 20 12.90\%
...220 Anti-Sikh Assault Offenses - Simple Assault 17 10.97\%
...221 Anti-Sikh Drug/Narcotic Offenses - Drug/Narcotic Violations 14 9.03\%
...222 Anti-Sikh Larceny/Theft Offenses - Theft From Motor Vehicle 13 8.39\%
...223 Anti-Sikh All Other 64 41.34\%
...224 Anti-Sikh Total 155 100\%
...225 Anti-Transgender Assault Offenses - Intimidation 112 34.67\%
...226 Anti-Transgender Assault Offenses - Simple Assault 79 24.46\%
...227 Anti-Transgender Assault Offenses - Aggravated Assault 41 12.69\%
...228 Anti-Transgender Destruction/Damage/Vandalism of Property 38 11.76\%
...229 Anti-Transgender Larceny/Theft Offenses - All Other Larceny 14 4.33\%
...230 Anti-Transgender All Other 39 12.09\%
...231 Anti-Transgender Total 323 100\%
...232 Anti-White Assault Offenses - Simple Assault 230 27.68\%
...233 Anti-White Assault Offenses - Intimidation 189 22.74\%
...234 Anti-White Assault Offenses - Aggravated Assault 94 11.31\%
...235 Anti-White Destruction/Damage/Vandalism of Property 90 10.83\%
...236 Anti-White Larceny/Theft Offenses - All Other Larceny 49 5.90\%
...237 Anti-White All Other 179 21.52\%
...238 Anti-White Total 831 100\%
...239 Unknown (Offenders Motivation Not Known) Larceny/Theft Offenses - All Other Larceny 9,603 13.32\%
...240 Unknown (Offenders Motivation Not Known) Assault Offenses - Simple Assault 9,529 13.22\%
...241 Unknown (Offenders Motivation Not Known) Destruction/Damage/Vandalism of Property 9,499 13.17\%
...242 Unknown (Offenders Motivation Not Known) Drug/Narcotic Offenses - Drug/Narcotic Violations 5,418 7.51\%
...243 Unknown (Offenders Motivation Not Known) Burglary/Breaking And Entering 4,916 6.82\%
...244 Unknown (Offenders Motivation Not Known) All Other 33,139 45.97\%
...245 Unknown (Offenders Motivation Not Known) Total 72,104 100\%
- - - - -
-The annual percent of offenses reported as having a bias motivation (i.e. hate crime), 1993-2023. -

(\#fig:nibrsOffenseBias)The annual percent of offenses reported as having a bias motivation (i.e. hate crime), 1993-2023.

-
+ +\begin{longtable}[t]{l|l|l|r|r} +\caption{(\#tab:offenseBiasOffense)The number and percent of offenses by bias motivation, 2023. }\\ +\hline + & bias & Offense & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseBiasOffense)The number and percent of offenses by bias motivation, 2023. \textit{(continued)}}\\ +\hline + & bias & Offense & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +...1 & Anti-American Indian Or Alaskan Native & Assault Offenses - Simple Assault & 24 & 21.82\textbackslash{}\%\\ +\hline +...2 & Anti-American Indian Or Alaskan Native & Assault Offenses - Aggravated Assault & 15 & 13.64\textbackslash{}\%\\ +\hline +...3 & Anti-American Indian Or Alaskan Native & Larceny/Theft Offenses - All Other Larceny & 10 & 9.09\textbackslash{}\%\\ +\hline +...4 & Anti-American Indian Or Alaskan Native & Destruction/Damage/Vandalism of Property & 10 & 9.09\textbackslash{}\%\\ +\hline +...5 & Anti-American Indian Or Alaskan Native & Larceny/Theft Offenses - Shoplifting & 8 & 7.27\textbackslash{}\%\\ +\hline +...6 & Anti-American Indian Or Alaskan Native & All Other & 43 & 39.11\textbackslash{}\%\\ +\hline +...7 & Anti-American Indian Or Alaskan Native & Total & 110 & 100\textbackslash{}\%\\ +\hline +...8 & Anti-Arab & Assault Offenses - Intimidation & 51 & 38.35\textbackslash{}\%\\ +\hline +...9 & Anti-Arab & Assault Offenses - Simple Assault & 36 & 27.07\textbackslash{}\%\\ +\hline +...10 & Anti-Arab & Destruction/Damage/Vandalism of Property & 23 & 17.29\textbackslash{}\%\\ +\hline +...11 & Anti-Arab & Assault Offenses - Aggravated Assault & 15 & 11.28\textbackslash{}\%\\ +\hline +...12 & Anti-Arab & Fraud Offenses - Identity Theft & 2 & 1.50\textbackslash{}\%\\ +\hline +...13 & Anti-Arab & All Other & 6 & 4.5\textbackslash{}\%\\ +\hline +...14 & Anti-Arab & Total & 133 & 100\textbackslash{}\%\\ +\hline +...15 & Anti-Asian & Assault Offenses - Simple Assault & 103 & 29.86\textbackslash{}\%\\ +\hline +...16 & Anti-Asian & Assault Offenses - Intimidation & 99 & 28.70\textbackslash{}\%\\ +\hline +...17 & Anti-Asian & Destruction/Damage/Vandalism of Property & 69 & 20.00\textbackslash{}\%\\ +\hline +...18 & Anti-Asian & Assault Offenses - Aggravated Assault & 34 & 9.86\textbackslash{}\%\\ +\hline +...19 & Anti-Asian & Robbery & 11 & 3.19\textbackslash{}\%\\ +\hline +...20 & Anti-Asian & All Other & 29 & 8.41\textbackslash{}\%\\ +\hline +...21 & Anti-Asian & Total & 345 & 100\textbackslash{}\%\\ +\hline +...22 & Anti-Atheism/Agnosticism & Assault Offenses - Intimidation & 5 & 31.25\textbackslash{}\%\\ +\hline +...23 & Anti-Atheism/Agnosticism & Assault Offenses - Simple Assault & 4 & 25.00\textbackslash{}\%\\ +\hline +...24 & Anti-Atheism/Agnosticism & Destruction/Damage/Vandalism of Property & 2 & 12.50\textbackslash{}\%\\ +\hline +...25 & Anti-Atheism/Agnosticism & Assault Offenses - Aggravated Assault & 2 & 12.50\textbackslash{}\%\\ +\hline +...26 & Anti-Atheism/Agnosticism & Larceny/Theft Offenses - All Other Larceny & 1 & 6.25\textbackslash{}\%\\ +\hline +...27 & Anti-Atheism/Agnosticism & All Other & 2 & 12.5\textbackslash{}\%\\ +\hline +...28 & Anti-Atheism/Agnosticism & Total & 16 & 100\textbackslash{}\%\\ +\hline +...29 & Anti-Bisexual & Assault Offenses - Intimidation & 8 & 23.53\textbackslash{}\%\\ +\hline +...30 & Anti-Bisexual & Assault Offenses - Simple Assault & 7 & 20.59\textbackslash{}\%\\ +\hline +...31 & Anti-Bisexual & Destruction/Damage/Vandalism of Property & 6 & 17.65\textbackslash{}\%\\ +\hline +...32 & Anti-Bisexual & Assault Offenses - Aggravated Assault & 3 & 8.82\textbackslash{}\%\\ +\hline +...33 & Anti-Bisexual & Extortion/Blackmail & 3 & 8.82\textbackslash{}\%\\ +\hline +...34 & Anti-Bisexual & All Other & 7 & 20.58\textbackslash{}\%\\ +\hline +...35 & Anti-Bisexual & Total & 34 & 100\textbackslash{}\%\\ +\hline +...36 & Anti-Black Or African American & Assault Offenses - Intimidation & 937 & 34.45\textbackslash{}\%\\ +\hline +...37 & Anti-Black Or African American & Destruction/Damage/Vandalism of Property & 764 & 28.09\textbackslash{}\%\\ +\hline +...38 & Anti-Black Or African American & Assault Offenses - Simple Assault & 576 & 21.18\textbackslash{}\%\\ +\hline +...39 & Anti-Black Or African American & Assault Offenses - Aggravated Assault & 284 & 10.44\textbackslash{}\%\\ +\hline +...40 & Anti-Black Or African American & Burglary/Breaking And Entering & 27 & 0.99\textbackslash{}\%\\ +\hline +...41 & Anti-Black Or African American & All Other & 132 & 4.86\textbackslash{}\%\\ +\hline +...42 & Anti-Black Or African American & Total & 2,720 & 100\textbackslash{}\%\\ +\hline +...43 & Anti-Buddhist & Assault Offenses - Simple Assault & 4 & 19.05\textbackslash{}\%\\ +\hline +...44 & Anti-Buddhist & Destruction/Damage/Vandalism of Property & 3 & 14.29\textbackslash{}\%\\ +\hline +...45 & Anti-Buddhist & Larceny/Theft Offenses - All Other Larceny & 3 & 14.29\textbackslash{}\%\\ +\hline +...46 & Anti-Buddhist & Assault Offenses - Intimidation & 1 & 4.76\textbackslash{}\%\\ +\hline +...47 & Anti-Buddhist & Drug/Narcotic Offenses - Drug/Narcotic Violations & 1 & 4.76\textbackslash{}\%\\ +\hline +...48 & Anti-Buddhist & All Other & 9 & 42.84\textbackslash{}\%\\ +\hline +...49 & Anti-Buddhist & Total & 21 & 100\textbackslash{}\%\\ +\hline +...50 & Anti-Catholic & Destruction/Damage/Vandalism of Property & 54 & 71.05\textbackslash{}\%\\ +\hline +...51 & Anti-Catholic & Assault Offenses - Intimidation & 10 & 13.16\textbackslash{}\%\\ +\hline +...52 & Anti-Catholic & Larceny/Theft Offenses - All Other Larceny & 4 & 5.26\textbackslash{}\%\\ +\hline +...53 & Anti-Catholic & Burglary/Breaking And Entering & 3 & 3.95\textbackslash{}\%\\ +\hline +...54 & Anti-Catholic & Arson & 2 & 2.63\textbackslash{}\%\\ +\hline +...55 & Anti-Catholic & All Other & 3 & 3.96\textbackslash{}\%\\ +\hline +...56 & Anti-Catholic & Total & 76 & 100\textbackslash{}\%\\ +\hline +1 & Anti-Church of Jesus Christ (Mormon) & Destruction/Damage/Vandalism of Property & 9 & 56.25\textbackslash{}\%\\ +\hline +2 & Anti-Church of Jesus Christ (Mormon) & Assault Offenses - Simple Assault & 3 & 18.75\textbackslash{}\%\\ +\hline +3 & Anti-Church of Jesus Christ (Mormon) & Assault Offenses - Intimidation & 3 & 18.75\textbackslash{}\%\\ +\hline +4 & Anti-Church of Jesus Christ (Mormon) & Arson & 1 & 6.25\textbackslash{}\%\\ +\hline +NA & NA & NA & NA & NA\\ +\hline +...62 & Anti-Church of Jesus Christ (Mormon) & All Other & NA & NA\textbackslash{}\%\\ +\hline +...63 & Anti-Church of Jesus Christ (Mormon) & Total & 16 & 100\textbackslash{}\%\\ +\hline +...64 & Anti-Eastern Orthodox (Greek, Russian, Other) & Destruction/Damage/Vandalism of Property & 11 & 18.97\textbackslash{}\%\\ +\hline +...65 & Anti-Eastern Orthodox (Greek, Russian, Other) & Drug/Narcotic Offenses - Drug/Narcotic Violations & 6 & 10.34\textbackslash{}\%\\ +\hline +...66 & Anti-Eastern Orthodox (Greek, Russian, Other) & Larceny/Theft Offenses - Shoplifting & 6 & 10.34\textbackslash{}\%\\ +\hline +...67 & Anti-Eastern Orthodox (Greek, Russian, Other) & Assault Offenses - Aggravated Assault & 5 & 8.62\textbackslash{}\%\\ +\hline +...68 & Anti-Eastern Orthodox (Greek, Russian, Other) & Assault Offenses - Simple Assault & 4 & 6.90\textbackslash{}\%\\ +\hline +...69 & Anti-Eastern Orthodox (Greek, Russian, Other) & All Other & 26 & 44.83\textbackslash{}\%\\ +\hline +...70 & Anti-Eastern Orthodox (Greek, Russian, Other) & Total & 58 & 100\textbackslash{}\%\\ +\hline +...71 & Anti-Female & Assault Offenses - Intimidation & 17 & 25.00\textbackslash{}\%\\ +\hline +...72 & Anti-Female & Assault Offenses - Simple Assault & 15 & 22.06\textbackslash{}\%\\ +\hline +...73 & Anti-Female & Assault Offenses - Aggravated Assault & 8 & 11.76\textbackslash{}\%\\ +\hline +...74 & Anti-Female & Destruction/Damage/Vandalism of Property & 5 & 7.35\textbackslash{}\%\\ +\hline +...75 & Anti-Female & Sex Offenses - Fondling (Indecent Liberties/Child Molest) & 3 & 4.41\textbackslash{}\%\\ +\hline +...76 & Anti-Female & All Other & 20 & 29.4\textbackslash{}\%\\ +\hline +...77 & Anti-Female & Total & 68 & 100\textbackslash{}\%\\ +\hline +...78 & Anti-Gay (Male) & Assault Offenses - Simple Assault & 276 & 29.84\textbackslash{}\%\\ +\hline +...79 & Anti-Gay (Male) & Assault Offenses - Intimidation & 257 & 27.78\textbackslash{}\%\\ +\hline +...80 & Anti-Gay (Male) & Destruction/Damage/Vandalism of Property & 151 & 16.32\textbackslash{}\%\\ +\hline +...81 & Anti-Gay (Male) & Assault Offenses - Aggravated Assault & 129 & 13.95\textbackslash{}\%\\ +\hline +...82 & Anti-Gay (Male) & Larceny/Theft Offenses - All Other Larceny & 36 & 3.89\textbackslash{}\%\\ +\hline +...83 & Anti-Gay (Male) & All Other & 76 & 8.24\textbackslash{}\%\\ +\hline +...84 & Anti-Gay (Male) & Total & 925 & 100\textbackslash{}\%\\ +\hline +...85 & Anti-Gender Non-Conforming & Destruction/Damage/Vandalism of Property & 28 & 20.29\textbackslash{}\%\\ +\hline +...86 & Anti-Gender Non-Conforming & Assault Offenses - Simple Assault & 25 & 18.12\textbackslash{}\%\\ +\hline +...87 & Anti-Gender Non-Conforming & Larceny/Theft Offenses - All Other Larceny & 14 & 10.14\textbackslash{}\%\\ +\hline +...88 & Anti-Gender Non-Conforming & Drug/Narcotic Offenses - Drug/Narcotic Violations & 13 & 9.42\textbackslash{}\%\\ +\hline +...89 & Anti-Gender Non-Conforming & Assault Offenses - Intimidation & 13 & 9.42\textbackslash{}\%\\ +\hline +...90 & Anti-Gender Non-Conforming & All Other & 45 & 32.57\textbackslash{}\%\\ +\hline +...91 & Anti-Gender Non-Conforming & Total & 138 & 100\textbackslash{}\%\\ +\hline +...92 & Anti-Heterosexual & Destruction/Damage/Vandalism of Property & 4 & 30.77\textbackslash{}\%\\ +\hline +...93 & Anti-Heterosexual & Assault Offenses - Intimidation & 2 & 15.38\textbackslash{}\%\\ +\hline +...94 & Anti-Heterosexual & Assault Offenses - Simple Assault & 2 & 15.38\textbackslash{}\%\\ +\hline +...95 & Anti-Heterosexual & Larceny/Theft Offenses - All Other Larceny & 2 & 15.38\textbackslash{}\%\\ +\hline +...96 & Anti-Heterosexual & Assault Offenses - Aggravated Assault & 1 & 7.69\textbackslash{}\%\\ +\hline +...97 & Anti-Heterosexual & All Other & 2 & 15.38\textbackslash{}\%\\ +\hline +...98 & Anti-Heterosexual & Total & 13 & 100\textbackslash{}\%\\ +\hline +...99 & Anti-Hindu & Destruction/Damage/Vandalism of Property & 6 & 27.27\textbackslash{}\%\\ +\hline +...100 & Anti-Hindu & Assault Offenses - Simple Assault & 5 & 22.73\textbackslash{}\%\\ +\hline +...101 & Anti-Hindu & Assault Offenses - Intimidation & 5 & 22.73\textbackslash{}\%\\ +\hline +...102 & Anti-Hindu & Motor Vehicle Theft & 1 & 4.55\textbackslash{}\%\\ +\hline +...103 & Anti-Hindu & Assault Offenses - Aggravated Assault & 1 & 4.55\textbackslash{}\%\\ +\hline +...104 & Anti-Hindu & All Other & 4 & 18.2\textbackslash{}\%\\ +\hline +...105 & Anti-Hindu & Total & 22 & 100\textbackslash{}\%\\ +\hline +...106 & Anti-Hispanic Or Latino & Assault Offenses - Intimidation & 242 & 33.02\textbackslash{}\%\\ +\hline +...107 & Anti-Hispanic Or Latino & Assault Offenses - Simple Assault & 228 & 31.11\textbackslash{}\%\\ +\hline +...108 & Anti-Hispanic Or Latino & Assault Offenses - Aggravated Assault & 129 & 17.60\textbackslash{}\%\\ +\hline +...109 & Anti-Hispanic Or Latino & Destruction/Damage/Vandalism of Property & 75 & 10.23\textbackslash{}\%\\ +\hline +...110 & Anti-Hispanic Or Latino & Robbery & 19 & 2.59\textbackslash{}\%\\ +\hline +...111 & Anti-Hispanic Or Latino & All Other & 40 & 5.47\textbackslash{}\%\\ +\hline +...112 & Anti-Hispanic Or Latino & Total & 733 & 100\textbackslash{}\%\\ +\hline +...113 & Anti-Islamic (Muslim) & Assault Offenses - Intimidation & 99 & 46.05\textbackslash{}\%\\ +\hline +...114 & Anti-Islamic (Muslim) & Destruction/Damage/Vandalism of Property & 45 & 20.93\textbackslash{}\%\\ +\hline +...115 & Anti-Islamic (Muslim) & Assault Offenses - Simple Assault & 42 & 19.53\textbackslash{}\%\\ +\hline +...116 & Anti-Islamic (Muslim) & Assault Offenses - Aggravated Assault & 13 & 6.05\textbackslash{}\%\\ +\hline +...117 & Anti-Islamic (Muslim) & Larceny/Theft Offenses - All Other Larceny & 3 & 1.40\textbackslash{}\%\\ +\hline +...118 & Anti-Islamic (Muslim) & All Other & 13 & 6.07\textbackslash{}\%\\ +\hline +...119 & Anti-Islamic (Muslim) & Total & 215 & 100\textbackslash{}\%\\ +\hline +...120 & Anti-Jehovahs Witness & Destruction/Damage/Vandalism of Property & 4 & 28.57\textbackslash{}\%\\ +\hline +...121 & Anti-Jehovahs Witness & Assault Offenses - Intimidation & 1 & 7.14\textbackslash{}\%\\ +\hline +...122 & Anti-Jehovahs Witness & Arson & 1 & 7.14\textbackslash{}\%\\ +\hline +...123 & Anti-Jehovahs Witness & Pornography/Obscene Material & 1 & 7.14\textbackslash{}\%\\ +\hline +...124 & Anti-Jehovahs Witness & Larceny/Theft Offenses - Theft From Motor Vehicle & 1 & 7.14\textbackslash{}\%\\ +\hline +...125 & Anti-Jehovahs Witness & All Other & 6 & 42.84\textbackslash{}\%\\ +\hline +...126 & Anti-Jehovahs Witness & Total & 14 & 100\textbackslash{}\%\\ +\hline +...127 & Anti-Jewish & Destruction/Damage/Vandalism of Property & 784 & 52.34\textbackslash{}\%\\ +\hline +...128 & Anti-Jewish & Assault Offenses - Intimidation & 492 & 32.84\textbackslash{}\%\\ +\hline +...129 & Anti-Jewish & Assault Offenses - Simple Assault & 71 & 4.74\textbackslash{}\%\\ +\hline +...130 & Anti-Jewish & Larceny/Theft Offenses - All Other Larceny & 63 & 4.21\textbackslash{}\%\\ +\hline +...131 & Anti-Jewish & Assault Offenses - Aggravated Assault & 33 & 2.20\textbackslash{}\%\\ +\hline +...132 & Anti-Jewish & All Other & 55 & 3.68\textbackslash{}\%\\ +\hline +...133 & Anti-Jewish & Total & 1,498 & 100\textbackslash{}\%\\ +\hline +...134 & Anti-Lesbian (Female) & Assault Offenses - Intimidation & 52 & 35.37\textbackslash{}\%\\ +\hline +...135 & Anti-Lesbian (Female) & Assault Offenses - Simple Assault & 37 & 25.17\textbackslash{}\%\\ +\hline +...136 & Anti-Lesbian (Female) & Destruction/Damage/Vandalism of Property & 23 & 15.65\textbackslash{}\%\\ +\hline +...137 & Anti-Lesbian (Female) & Assault Offenses - Aggravated Assault & 18 & 12.24\textbackslash{}\%\\ +\hline +...138 & Anti-Lesbian (Female) & Larceny/Theft Offenses - All Other Larceny & 9 & 6.12\textbackslash{}\%\\ +\hline +...139 & Anti-Lesbian (Female) & All Other & 8 & 5.44\textbackslash{}\%\\ +\hline +...140 & Anti-Lesbian (Female) & Total & 147 & 100\textbackslash{}\%\\ +\hline +...141 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Destruction/Damage/Vandalism of Property & 277 & 33.58\textbackslash{}\%\\ +\hline +...142 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Assault Offenses - Intimidation & 169 & 20.48\textbackslash{}\%\\ +\hline +...143 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Larceny/Theft Offenses - All Other Larceny & 150 & 18.18\textbackslash{}\%\\ +\hline +...144 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Assault Offenses - Simple Assault & 124 & 15.03\textbackslash{}\%\\ +\hline +...145 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Assault Offenses - Aggravated Assault & 50 & 6.06\textbackslash{}\%\\ +\hline +...146 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & All Other & 55 & 6.65\textbackslash{}\%\\ +\hline +...147 & Anti-Lesbian, Gay, Bisexual, Or Transgender (Mixed Group) & Total & 825 & 100\textbackslash{}\%\\ +\hline +...148 & Anti-Male & Destruction/Damage/Vandalism of Property & 6 & 23.08\textbackslash{}\%\\ +\hline +...149 & Anti-Male & Assault Offenses - Simple Assault & 6 & 23.08\textbackslash{}\%\\ +\hline +...150 & Anti-Male & Assault Offenses - Intimidation & 4 & 15.38\textbackslash{}\%\\ +\hline +...151 & Anti-Male & Drug/Narcotic Offenses - Drug/Narcotic Violations & 2 & 7.69\textbackslash{}\%\\ +\hline +...152 & Anti-Male & Larceny/Theft Offenses - All Other Larceny & 1 & 3.85\textbackslash{}\%\\ +\hline +...153 & Anti-Male & All Other & 7 & 26.95\textbackslash{}\%\\ +\hline +...154 & Anti-Male & Total & 26 & 100\textbackslash{}\%\\ +\hline +...155 & Anti-Mental Disability & Assault Offenses - Simple Assault & 30 & 27.78\textbackslash{}\%\\ +\hline +...156 & Anti-Mental Disability & Assault Offenses - Aggravated Assault & 22 & 20.37\textbackslash{}\%\\ +\hline +...157 & Anti-Mental Disability & Assault Offenses - Intimidation & 17 & 15.74\textbackslash{}\%\\ +\hline +...158 & Anti-Mental Disability & Larceny/Theft Offenses - All Other Larceny & 9 & 8.33\textbackslash{}\%\\ +\hline +...159 & Anti-Mental Disability & Destruction/Damage/Vandalism of Property & 8 & 7.41\textbackslash{}\%\\ +\hline +...160 & Anti-Mental Disability & All Other & 22 & 20.41\textbackslash{}\%\\ +\hline +...161 & Anti-Mental Disability & Total & 108 & 100\textbackslash{}\%\\ +\hline +...162 & Anti-Multiple Races, Group & Destruction/Damage/Vandalism of Property & 97 & 49.24\textbackslash{}\%\\ +\hline +...163 & Anti-Multiple Races, Group & Assault Offenses - Intimidation & 57 & 28.93\textbackslash{}\%\\ +\hline +...164 & Anti-Multiple Races, Group & Assault Offenses - Simple Assault & 23 & 11.68\textbackslash{}\%\\ +\hline +...165 & Anti-Multiple Races, Group & Assault Offenses - Aggravated Assault & 11 & 5.58\textbackslash{}\%\\ +\hline +...166 & Anti-Multiple Races, Group & Weapon Law Violations - Weapon Law Violations & 2 & 1.02\textbackslash{}\%\\ +\hline +...167 & Anti-Multiple Races, Group & All Other & 7 & 3.57\textbackslash{}\%\\ +\hline +...168 & Anti-Multiple Races, Group & Total & 197 & 100\textbackslash{}\%\\ +\hline +...169 & Anti-Multiple Religions, Group & Destruction/Damage/Vandalism of Property & 18 & 40.91\textbackslash{}\%\\ +\hline +...170 & Anti-Multiple Religions, Group & Assault Offenses - Intimidation & 7 & 15.91\textbackslash{}\%\\ +\hline +...171 & Anti-Multiple Religions, Group & Assault Offenses - Simple Assault & 7 & 15.91\textbackslash{}\%\\ +\hline +...172 & Anti-Multiple Religions, Group & Larceny/Theft Offenses - All Other Larceny & 3 & 6.82\textbackslash{}\%\\ +\hline +...173 & Anti-Multiple Religions, Group & Drug/Narcotic Offenses - Drug/Narcotic Violations & 2 & 4.55\textbackslash{}\%\\ +\hline +...174 & Anti-Multiple Religions, Group & All Other & 7 & 15.9\textbackslash{}\%\\ +\hline +...175 & Anti-Multiple Religions, Group & Total & 44 & 100\textbackslash{}\%\\ +\hline +...176 & Anti-Native Hawaiian Or Other Pacific Islander & Assault Offenses - Simple Assault & 5 & 31.25\textbackslash{}\%\\ +\hline +...177 & Anti-Native Hawaiian Or Other Pacific Islander & Assault Offenses - Intimidation & 4 & 25.00\textbackslash{}\%\\ +\hline +...178 & Anti-Native Hawaiian Or Other Pacific Islander & Weapon Law Violations - Weapon Law Violations & 2 & 12.50\textbackslash{}\%\\ +\hline +...179 & Anti-Native Hawaiian Or Other Pacific Islander & Larceny/Theft Offenses - All Other Larceny & 2 & 12.50\textbackslash{}\%\\ +\hline +...180 & Anti-Native Hawaiian Or Other Pacific Islander & Kidnapping/Abduction & 1 & 6.25\textbackslash{}\%\\ +\hline +...181 & Anti-Native Hawaiian Or Other Pacific Islander & All Other & 2 & 12.5\textbackslash{}\%\\ +\hline +...182 & Anti-Native Hawaiian Or Other Pacific Islander & Total & 16 & 100\textbackslash{}\%\\ +\hline +...183 & Anti-Other Christian & Destruction/Damage/Vandalism of Property & 34 & 47.89\textbackslash{}\%\\ +\hline +...184 & Anti-Other Christian & Assault Offenses - Intimidation & 16 & 22.54\textbackslash{}\%\\ +\hline +...185 & Anti-Other Christian & Burglary/Breaking And Entering & 4 & 5.63\textbackslash{}\%\\ +\hline +...186 & Anti-Other Christian & Larceny/Theft Offenses - All Other Larceny & 4 & 5.63\textbackslash{}\%\\ +\hline +...187 & Anti-Other Christian & Assault Offenses - Simple Assault & 4 & 5.63\textbackslash{}\%\\ +\hline +...188 & Anti-Other Christian & All Other & 9 & 12.69\textbackslash{}\%\\ +\hline +...189 & Anti-Other Christian & Total & 71 & 100\textbackslash{}\%\\ +\hline +...190 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Destruction/Damage/Vandalism of Property & 112 & 29.55\textbackslash{}\%\\ +\hline +...191 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Assault Offenses - Intimidation & 100 & 26.39\textbackslash{}\%\\ +\hline +...192 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Assault Offenses - Simple Assault & 84 & 22.16\textbackslash{}\%\\ +\hline +...193 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Assault Offenses - Aggravated Assault & 32 & 8.44\textbackslash{}\%\\ +\hline +...194 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Larceny/Theft Offenses - All Other Larceny & 15 & 3.96\textbackslash{}\%\\ +\hline +...195 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & All Other & 36 & 9.46\textbackslash{}\%\\ +\hline +...196 & Anti-Other Race, Ethnicity, Ancestry, Or National Origin & Total & 379 & 100\textbackslash{}\%\\ +\hline +...197 & Anti-Other Religion & Destruction/Damage/Vandalism of Property & 52 & 49.06\textbackslash{}\%\\ +\hline +...198 & Anti-Other Religion & Assault Offenses - Intimidation & 23 & 21.70\textbackslash{}\%\\ +\hline +...199 & Anti-Other Religion & Assault Offenses - Simple Assault & 9 & 8.49\textbackslash{}\%\\ +\hline +...200 & Anti-Other Religion & Assault Offenses - Aggravated Assault & 5 & 4.72\textbackslash{}\%\\ +\hline +...201 & Anti-Other Religion & Burglary/Breaking And Entering & 4 & 3.77\textbackslash{}\%\\ +\hline +...202 & Anti-Other Religion & All Other & 13 & 12.26\textbackslash{}\%\\ +\hline +...203 & Anti-Other Religion & Total & 106 & 100\textbackslash{}\%\\ +\hline +...204 & Anti-Physical Disability & Assault Offenses - Intimidation & 27 & 32.53\textbackslash{}\%\\ +\hline +...205 & Anti-Physical Disability & Assault Offenses - Simple Assault & 24 & 28.92\textbackslash{}\%\\ +\hline +...206 & Anti-Physical Disability & Destruction/Damage/Vandalism of Property & 9 & 10.84\textbackslash{}\%\\ +\hline +...207 & Anti-Physical Disability & Assault Offenses - Aggravated Assault & 8 & 9.64\textbackslash{}\%\\ +\hline +...208 & Anti-Physical Disability & Larceny/Theft Offenses - All Other Larceny & 4 & 4.82\textbackslash{}\%\\ +\hline +...209 & Anti-Physical Disability & All Other & 11 & 13.22\textbackslash{}\%\\ +\hline +...210 & Anti-Physical Disability & Total & 83 & 100\textbackslash{}\%\\ +\hline +...211 & Anti-Protestant & Destruction/Damage/Vandalism of Property & 8 & 26.67\textbackslash{}\%\\ +\hline +...212 & Anti-Protestant & Assault Offenses - Intimidation & 3 & 10.00\textbackslash{}\%\\ +\hline +...213 & Anti-Protestant & Burglary/Breaking And Entering & 3 & 10.00\textbackslash{}\%\\ +\hline +...214 & Anti-Protestant & Assault Offenses - Simple Assault & 3 & 10.00\textbackslash{}\%\\ +\hline +...215 & Anti-Protestant & Assault Offenses - Aggravated Assault & 3 & 10.00\textbackslash{}\%\\ +\hline +...216 & Anti-Protestant & All Other & 10 & 33.33\textbackslash{}\%\\ +\hline +...217 & Anti-Protestant & Total & 30 & 100\textbackslash{}\%\\ +\hline +...218 & Anti-Sikh & Destruction/Damage/Vandalism of Property & 27 & 17.42\textbackslash{}\%\\ +\hline +...219 & Anti-Sikh & Larceny/Theft Offenses - All Other Larceny & 20 & 12.90\textbackslash{}\%\\ +\hline +...220 & Anti-Sikh & Assault Offenses - Simple Assault & 17 & 10.97\textbackslash{}\%\\ +\hline +...221 & Anti-Sikh & Drug/Narcotic Offenses - Drug/Narcotic Violations & 14 & 9.03\textbackslash{}\%\\ +\hline +...222 & Anti-Sikh & Larceny/Theft Offenses - Theft From Motor Vehicle & 13 & 8.39\textbackslash{}\%\\ +\hline +...223 & Anti-Sikh & All Other & 64 & 41.34\textbackslash{}\%\\ +\hline +...224 & Anti-Sikh & Total & 155 & 100\textbackslash{}\%\\ +\hline +...225 & Anti-Transgender & Assault Offenses - Intimidation & 112 & 34.67\textbackslash{}\%\\ +\hline +...226 & Anti-Transgender & Assault Offenses - Simple Assault & 79 & 24.46\textbackslash{}\%\\ +\hline +...227 & Anti-Transgender & Assault Offenses - Aggravated Assault & 41 & 12.69\textbackslash{}\%\\ +\hline +...228 & Anti-Transgender & Destruction/Damage/Vandalism of Property & 38 & 11.76\textbackslash{}\%\\ +\hline +...229 & Anti-Transgender & Larceny/Theft Offenses - All Other Larceny & 14 & 4.33\textbackslash{}\%\\ +\hline +...230 & Anti-Transgender & All Other & 39 & 12.09\textbackslash{}\%\\ +\hline +...231 & Anti-Transgender & Total & 323 & 100\textbackslash{}\%\\ +\hline +...232 & Anti-White & Assault Offenses - Simple Assault & 230 & 27.68\textbackslash{}\%\\ +\hline +...233 & Anti-White & Assault Offenses - Intimidation & 189 & 22.74\textbackslash{}\%\\ +\hline +...234 & Anti-White & Assault Offenses - Aggravated Assault & 94 & 11.31\textbackslash{}\%\\ +\hline +...235 & Anti-White & Destruction/Damage/Vandalism of Property & 90 & 10.83\textbackslash{}\%\\ +\hline +...236 & Anti-White & Larceny/Theft Offenses - All Other Larceny & 49 & 5.90\textbackslash{}\%\\ +\hline +...237 & Anti-White & All Other & 179 & 21.52\textbackslash{}\%\\ +\hline +...238 & Anti-White & Total & 831 & 100\textbackslash{}\%\\ +\hline +...239 & Unknown (Offenders Motivation Not Known) & Larceny/Theft Offenses - All Other Larceny & 9,603 & 13.32\textbackslash{}\%\\ +\hline +...240 & Unknown (Offenders Motivation Not Known) & Assault Offenses - Simple Assault & 9,529 & 13.22\textbackslash{}\%\\ +\hline +...241 & Unknown (Offenders Motivation Not Known) & Destruction/Damage/Vandalism of Property & 9,499 & 13.17\textbackslash{}\%\\ +\hline +...242 & Unknown (Offenders Motivation Not Known) & Drug/Narcotic Offenses - Drug/Narcotic Violations & 5,418 & 7.51\textbackslash{}\%\\ +\hline +...243 & Unknown (Offenders Motivation Not Known) & Burglary/Breaking And Entering & 4,916 & 6.82\textbackslash{}\%\\ +\hline +...244 & Unknown (Offenders Motivation Not Known) & All Other & 33,139 & 45.97\textbackslash{}\%\\ +\hline +...245 & Unknown (Offenders Motivation Not Known) & Total & 72,104 & 100\textbackslash{}\%\\ +\hline +\end{longtable} + + + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{13_nibrs_offense_files/figure-latex/nibrsOffenseBias-1} + +} + +\caption{The annual percent of offenses reported as having a bias motivation (i.e. hate crime), 1993-2023.}(\#fig:nibrsOffenseBias) +\end{figure} @@ -18461,10 +8368,14 @@ The age variable is the suspected age of the offender. This is presented to us a This data supports the widely observed age-crime curve, which shows that criminal activity tends to peak in the late teenage years and gradually declines as individuals age. Interestingly, in the NIBRS data, the most common offender age is 25, indicating a slightly later peak. This shift could reflect changes in the types of offenses reported or evolving offender patterns over time. The age distribution can differ depending on what offenses the offender's committed. To examine that you will need to merge this segment with the Offense Segment and then subset the offender data by the offense you are interested in. -
-The age of all offenders reported in the 2022 NIBRS data. Approximately 44 percent of offenders have an unknown age are not shown in the figure. -

(\#fig:offenderAge)The age of all offenders reported in the 2022 NIBRS data. Approximately 44 percent of offenders have an unknown age are not shown in the figure.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{14_nibrs_offender_files/figure-latex/offenderAge-1} + +} + +\caption{The age of all offenders reported in the 2022 NIBRS data. Approximately 44 percent of offenders have an unknown age are not shown in the figure.}(\#fig:offenderAge) +\end{figure} The spike you see at the very end of the data is due to the data maxing out possible individual ages at 98, so anyone older is grouped together. Surely very young children aren’t committing crimes, so is this a data error? Mostly yes. These entries likely reflect either data entry mistakes or situations where officers mistakenly input the offender’s age as "1" rather than selecting "unknown." However, in rare cases, this could also include tragic incidents, such as accidental harm caused by a child handling a firearm, which are still recorded as criminal incidents despite no intent. However, the bulk of this, especially for age one, is likely just a data error or the police entering age as one instead of saying that the age is unknown (which they have the option of doing) or simply entering the data incorrectly by mistake. @@ -18474,15 +8385,23 @@ Since we have data since 1991 we can look at how age changed over time. In Figur So what do we make of these trends? The first thing to keep in mind is that we are doing something fairly dumb. Each year of data we have different agencies reporting meaning that differences over time may simply be due to different agencies providing data. Still, if we had to interpret it I would say that the values in 1991 and 1992 are due to data issues likely caused by growing pains from agencies just starting out using NIBRS. Luckily, since NIBRS data has information on every single offender - rather than being already aggregated like in SRS data - we can check this. Indeed, this appears to simply be a data issue where many agencies put the age of offenders as "over 98 years old" rather than identifying them as unknown. In 1991, for example, 36% of offenders who had a known age were reported to be older than 98 years. When we look at the average age in 1991 when excluding people 99+ years old we get 28 years old, perfectly within expectation when looking at averages after 1992. -
-The mean and median age of offenders, 1991-2023. -

(\#fig:nibrsOffenderAge)The mean and median age of offenders, 1991-2023.

-
+\begin{figure} -
-The percent of offender's age that is unknown, 1991-2023. -

(\#fig:nibrsOffenderAgeMissing)The percent of offender's age that is unknown, 1991-2023.

-
+{\centering \includegraphics[width=1\linewidth,height=1\textheight]{14_nibrs_offender_files/figure-latex/nibrsOffenderAge-1} + +} + +\caption{The mean and median age of offenders, 1991-2023.}(\#fig:nibrsOffenderAge) +\end{figure} + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{14_nibrs_offender_files/figure-latex/nibrsOffenderAgeMissing-1} + +} + +\caption{The percent of offender's age that is unknown, 1991-2023.}(\#fig:nibrsOffenderAgeMissing) +\end{figure} ### Sex @@ -18490,10 +8409,14 @@ So what do we make of these trends? The first thing to keep in mind is that we a The second offender demographic variable available is the offender's sex with male and female being the only available sexes. There is no option for transgender or anything else. Other than arrestees, where police could (though we do not know if they do) use their identification (e.g. driver's license) to determine their sex, this is likely the perceived sex of the offender based on what evidence the officer can collect (e.g. witness statement, video recordings, driver's licenses of the offender if they are caught, etc.). Figure \@ref(fig:nibrsOffenderSex) shows the distribution of offenders by sex for each year of data. The most common sex is male, which is consistent with the literature on who commits crime. About 45% of all offenders were male. Female offenders make up fewer than 20% of offenders though the general trend is that the share of offenders is increasing. Over a third of offenders have an unknown sex with the share being unknown decreasing over time until increasing again in the last several years. Considering that when nothing is known about offenders (including even how many offenders there are) this data includes a single row with "unknown" for all demographic variables, this is actually an undercount of offenders who have unknown sex. Again we see odd results in 1991 and 1992, likely an issue with data entry at the birth of NIBRS. -
-The share of offenders by sex, 1991-2023. -

(\#fig:nibrsOffenderSex)The share of offenders by sex, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{14_nibrs_offender_files/figure-latex/nibrsOffenderSex-1} + +} + +\caption{The share of offenders by sex, 1991-2023.}(\#fig:nibrsOffenderSex) +\end{figure} ### Race @@ -18504,19 +8427,27 @@ Figure \@ref(fig:offenderRace) shows the breakdown in offender races for every o The next most common offender race is White at a bit under 40% in most years, followed by Black at around 20%. The remaining races make up very few offender and are hard to see on the figure. We still see the weird values in 1991 and 1992, this time showing a massive spike in the number of Asian offenders which disappear to less than 1% in 1993. This corresponds to spike in White offenders in 1993, suggesting that some White offenders in 1991-1992 were incorrectly identified as Asian. -
-The share of offenders by race, 1991-2023. -

(\#fig:nibrsOffenderRace)The share of offenders by race, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{14_nibrs_offender_files/figure-latex/nibrsOffenderRace-1} + +} + +\caption{The share of offenders by race, 1991-2023.}(\#fig:nibrsOffenderRace) +\end{figure} ### Ethnicity Ethnicity data, collected sporadically starting in 2013, is rarely recorded, with the most common entry being "unknown." As we can see in Figure \@ref(fig:nibrsOffenderEthnicity) this variable is very rarely used and for most of the life of NIBRS it was not collected. Even when it was collected - which started in 2013, ended after 2016, and then returned in 2021 - the most common value is that the offender's ethnicity was unknown. -
-The share of offenders by ethnicity, 1991-2023. -

(\#fig:nibrsOffenderEthnicity)The share of offenders by ethnicity, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{14_nibrs_offender_files/figure-latex/nibrsOffenderEthnicity-1} + +} + +\caption{The share of offenders by ethnicity, 1991-2023.}(\#fig:nibrsOffenderEthnicity) +\end{figure} While the Offender Segment is limited to basic demographics, it remains a valuable resource for identifying broad patterns in offender behavior. By tracking trends over time, researchers can examine shifts in age, sex, and race among offenders, which may inform policy decisions on crime prevention and law enforcement strategies. However, gaps in the data - such as unknown offender details, new agencies reporting data each year, and the absence of critical variables like criminal history - highlight the need for cautious interpretation and cross-referencing with other data sources. @@ -18540,516 +8471,152 @@ The first variable we will look at is the crime the victim experienced. This is There are 52 possible offenses included in this segment and Table \@ref(tab:victimCrimeCategory) shows how frequent each offense is. Though there are 10 possible offenses per victim, this table only looks at the first offense. The most common offense is simple assault, affecting 12.7% of victims or 944k people. This is followed by damage, vandalism, or destruction of property for 11% of victims. About 9.6% of victims experience drugs/narcotic violations, and these victims are likely also the offenders in the case (all incidents must have a victim recorded so in drug crimes the victims are also the offenders in most cases). Theft crimes, broken into some subcategories like "all other larceny" and "theft from motor vehicle" make up the three of the top six crimes (ranks 3, 5, and 6) people are victimized by. And the only remaining crime that accounts for 5% or more of offenses is burglary at 6.4%. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:victimCrimeCategory)The number and percent of crimes committed against each victim, counting all victims and then separately law enforcement officer victims, 2023. For victims with multiple crimes committed against them, this shows the first crime reported.
Crime Category First Year \# of Victims \% of Victims # of Officer Victims % of Officer Victims
Assault Offenses - Simple Assault 1991 2,195,115 15.77\% 55,194 64.25\%
Larceny/Theft Offenses - All Other Larceny 1991 1,429,317 10.27\% 0 0\%
Destruction/Damage/Vandalism of Property 1991 1,323,048 9.51\% 0 0\%
Drug/Narcotic Offenses - Drug/Narcotic Violations 1991 1,059,465 7.61\% - -
Larceny/Theft Offenses - Shoplifting 1991 985,502 7.08\% 0 0\%
Larceny/Theft Offenses - Theft From Motor Vehicle 1991 978,366 7.03\% 0 0\%
Motor Vehicle Theft 1991 872,932 6.27\% 0 0\%
Burglary/Breaking And Entering 1991 766,014 5.50\% 0 0\%
Assault Offenses - Aggravated Assault 1991 734,379 5.28\% 19,812 23.06\%
Assault Offenses - Intimidation 1991 695,310 5.00\% 10,838 12.62\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game 1991 364,120 2.62\% 0 0\%
Larceny/Theft Offenses - Theft From Building 1991 305,819 2.20\% 0 0\%
Weapon Law Violations - Weapon Law Violations 1991 270,726 1.95\% - -
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 1991 269,802 1.94\% - -
Robbery 1991 232,340 1.67\% - -
Fraud Offenses - Identity Theft 2015 195,639 1.41\% - -
Drug/Narcotic Offenses - Drug Equipment Violations 1991 171,174 1.23\% - -
Fraud Offenses - Credit Card/Atm Fraud 1991 161,428 1.16\% - -
Counterfeiting/Forgery 1991 148,349 1.07\% 0 0\%
Stolen Property Offenses (Receiving, Selling, Etc.) 1991 119,368 0.86\% 0 0\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) 1991 92,650 0.67\% 0 0\%
Fraud Offenses - Impersonation 1991 79,989 0.57\% 0 0\%
Sex Offenses - Rape 1991 78,648 0.57\% - -
Kidnapping/Abduction 1991 49,193 0.35\% 14 0.02\%
Pornography/Obscene Material 1991 45,160 0.32\% - -
Fraud Offenses - Wire Fraud 1991 42,649 0.31\% - -
Arson 1991 37,275 0.27\% 0 0\%
Embezzlement 1991 33,078 0.24\% - -
Larceny/Theft Offenses - Pocket-Picking 1991 26,829 0.19\% - -
Extortion/Blackmail 1991 26,361 0.19\% - -
Animal Cruelty 2015 21,898 0.16\% - -
Sex Offenses - Sodomy 1991 19,352 0.14\% - -
Murder/Nonnegligent Manslaughter 1991 16,144 0.12\% 47 0.05\%
Larceny/Theft Offenses - Purse-Snatching 1991 12,261 0.09\% - -
Prostitution Offenses - Prostitution 1991 8,545 0.06\% - -
Sex Offenses - Statutory Rape 1991 8,088 0.06\% - -
Sex Offenses - Sexual Assault With An Object 1991 7,318 0.05\% - -
Fraud Offenses - Hacking/Computer Invasion 2015 6,883 0.05\% - -
Fraud Offenses - Welfare Fraud 1991 5,972 0.04\% - -
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device 1991 5,044 0.04\% - -
Prostitution Offenses - Purchasing Prostitution 2013 2,780 0.02\% - -
Prostitution Offenses - Assisting Or Promoting Prostitution 1991 2,711 0.02\% - -
Negligent Manslaughter 1991 2,018 0.01\% - -
Human Trafficking - Commercial Sex Acts 2013 1,969 0.01\% - -
Sex Offenses - Incest 1991 1,253 0.01\% - -
Gambling Offenses - Operating/Promoting/Assisting Gambling 1991 998 0.01\% - -
Bribery 1991 712 0.01\% 0 0\%
Justifiable Homicide - Not A Crime 1991 691 0.00\% - -
Gambling Offenses - Betting/Wagering 1991 625 0.00\% - -
Human Trafficking - Involuntary Servitude 2014 592 0.00\% - -
Gambling Offenses - Gambling Equipment Violations 1991 487 0.00\% - -
Commerce Violations - Federal Liquor Offenses 2020 110 0.00\% - -
Fugitive Offenses - Flight To Avoid Prosecution 2021 100 0.00\% - -
Sex Offenses - Failure To Register As A Sex Offender 2019 41 0.00\% - -
Gambling Offenses - Sports Tampering 1994 7 0.00\% - -
Immigration Violations - Illegal Entry Into The United States 2020 3 0.00\% - -
Commerce Violations - Wildlife Trafficking 2023 2 0.00\% - -
Weapon Law Violations - Explosives 2021 1 0.00\% - -
Commerce Violations - Federal Tobacco Offenses 2021 1 0.00\% - -
Fraud Offenses - Money Laundering 2022 1 0.00\% - -
Total - 13,916,652 100\% - -
- - - -
-The share of victims when considering only the 1st offense reported compared to using all offenses, for murder and nonnegligent manslaughter, sex offenses, motor vehicle theft, and destruction of property/vandalism, 1991-2023. -

(\#fig:nibrsFirstVsAllOffensesMurders)The share of victims when considering only the 1st offense reported compared to using all offenses, for murder and nonnegligent manslaughter, sex offenses, motor vehicle theft, and destruction of property/vandalism, 1991-2023.

-
+ +\begin{longtable}[t]{l|l|r|r|r|l} +\caption{(\#tab:victimCrimeCategory)The number and percent of crimes committed against each victim, counting all victims and then separately law enforcement officer victims, 2023. For victims with multiple crimes committed against them, this shows the first crime reported.}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims & \# of Officer Victims & \% of Officer Victims\\ +\hline +\endfirsthead +\caption[]{(\#tab:victimCrimeCategory)The number and percent of crimes committed against each victim, counting all victims and then separately law enforcement officer victims, 2023. For victims with multiple crimes committed against them, this shows the first crime reported. \textit{(continued)}}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims & \# of Officer Victims & \% of Officer Victims\\ +\hline +\endhead +Assault Offenses - Simple Assault & 1991 & 2,195,115 & 15.77\textbackslash{}\% & 55,194 & 64.25\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & 1991 & 1,429,317 & 10.27\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & 1991 & 1,323,048 & 9.51\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & 1991 & 1,059,465 & 7.61\textbackslash{}\% & - & -\\ +\hline +Larceny/Theft Offenses - Shoplifting & 1991 & 985,502 & 7.08\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & 1991 & 978,366 & 7.03\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & 1991 & 872,932 & 6.27\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & 1991 & 766,014 & 5.50\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & 1991 & 734,379 & 5.28\textbackslash{}\% & 19,812 & 23.06\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & 1991 & 695,310 & 5.00\textbackslash{}\% & 10,838 & 12.62\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & 1991 & 364,120 & 2.62\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & 1991 & 305,819 & 2.20\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & 1991 & 270,726 & 1.95\textbackslash{}\% & - & -\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 1991 & 269,802 & 1.94\textbackslash{}\% & - & -\\ +\hline +Robbery & 1991 & 232,340 & 1.67\textbackslash{}\% & - & -\\ +\hline +Fraud Offenses - Identity Theft & 2015 & 195,639 & 1.41\textbackslash{}\% & - & -\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & 1991 & 171,174 & 1.23\textbackslash{}\% & - & -\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & 1991 & 161,428 & 1.16\textbackslash{}\% & - & -\\ +\hline +Counterfeiting/Forgery & 1991 & 148,349 & 1.07\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & 1991 & 119,368 & 0.86\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & 1991 & 92,650 & 0.67\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & 1991 & 79,989 & 0.57\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & 1991 & 78,648 & 0.57\textbackslash{}\% & - & -\\ +\hline +Kidnapping/Abduction & 1991 & 49,193 & 0.35\textbackslash{}\% & 14 & 0.02\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & 1991 & 45,160 & 0.32\textbackslash{}\% & - & -\\ +\hline +Fraud Offenses - Wire Fraud & 1991 & 42,649 & 0.31\textbackslash{}\% & - & -\\ +\hline +Arson & 1991 & 37,275 & 0.27\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Embezzlement & 1991 & 33,078 & 0.24\textbackslash{}\% & - & -\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & 1991 & 26,829 & 0.19\textbackslash{}\% & - & -\\ +\hline +Extortion/Blackmail & 1991 & 26,361 & 0.19\textbackslash{}\% & - & -\\ +\hline +Animal Cruelty & 2015 & 21,898 & 0.16\textbackslash{}\% & - & -\\ +\hline +Sex Offenses - Sodomy & 1991 & 19,352 & 0.14\textbackslash{}\% & - & -\\ +\hline +Murder/Nonnegligent Manslaughter & 1991 & 16,144 & 0.12\textbackslash{}\% & 47 & 0.05\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & 1991 & 12,261 & 0.09\textbackslash{}\% & - & -\\ +\hline +Prostitution Offenses - Prostitution & 1991 & 8,545 & 0.06\textbackslash{}\% & - & -\\ +\hline +Sex Offenses - Statutory Rape & 1991 & 8,088 & 0.06\textbackslash{}\% & - & -\\ +\hline +Sex Offenses - Sexual Assault With An Object & 1991 & 7,318 & 0.05\textbackslash{}\% & - & -\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & 2015 & 6,883 & 0.05\textbackslash{}\% & - & -\\ +\hline +Fraud Offenses - Welfare Fraud & 1991 & 5,972 & 0.04\textbackslash{}\% & - & -\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & 1991 & 5,044 & 0.04\textbackslash{}\% & - & -\\ +\hline +Prostitution Offenses - Purchasing Prostitution & 2013 & 2,780 & 0.02\textbackslash{}\% & - & -\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & 1991 & 2,711 & 0.02\textbackslash{}\% & - & -\\ +\hline +Negligent Manslaughter & 1991 & 2,018 & 0.01\textbackslash{}\% & - & -\\ +\hline +Human Trafficking - Commercial Sex Acts & 2013 & 1,969 & 0.01\textbackslash{}\% & - & -\\ +\hline +Sex Offenses - Incest & 1991 & 1,253 & 0.01\textbackslash{}\% & - & -\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & 1991 & 998 & 0.01\textbackslash{}\% & - & -\\ +\hline +Bribery & 1991 & 712 & 0.01\textbackslash{}\% & 0 & 0\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & 1991 & 691 & 0.00\textbackslash{}\% & - & -\\ +\hline +Gambling Offenses - Betting/Wagering & 1991 & 625 & 0.00\textbackslash{}\% & - & -\\ +\hline +Human Trafficking - Involuntary Servitude & 2014 & 592 & 0.00\textbackslash{}\% & - & -\\ +\hline +Gambling Offenses - Gambling Equipment Violations & 1991 & 487 & 0.00\textbackslash{}\% & - & -\\ +\hline +Commerce Violations - Federal Liquor Offenses & 2020 & 110 & 0.00\textbackslash{}\% & - & -\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & 2021 & 100 & 0.00\textbackslash{}\% & - & -\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & 2019 & 41 & 0.00\textbackslash{}\% & - & -\\ +\hline +Gambling Offenses - Sports Tampering & 1994 & 7 & 0.00\textbackslash{}\% & - & -\\ +\hline +Immigration Violations - Illegal Entry Into The United States & 2020 & 3 & 0.00\textbackslash{}\% & - & -\\ +\hline +Commerce Violations - Wildlife Trafficking & 2023 & 2 & 0.00\textbackslash{}\% & - & -\\ +\hline +Weapon Law Violations - Explosives & 2021 & 1 & 0.00\textbackslash{}\% & - & -\\ +\hline +Commerce Violations - Federal Tobacco Offenses & 2021 & 1 & 0.00\textbackslash{}\% & - & -\\ +\hline +Fraud Offenses - Money Laundering & 2022 & 1 & 0.00\textbackslash{}\% & - & -\\ +\hline +Total & - & 13,916,652 & 100\textbackslash{}\% & - & -\\ +\hline +\end{longtable} + + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsFirstVsAllOffensesMurders-1} + +} + +\caption{The share of victims when considering only the 1st offense reported compared to using all offenses, for murder and nonnegligent manslaughter, sex offenses, motor vehicle theft, and destruction of property/vandalism, 1991-2023.}(\#fig:nibrsFirstVsAllOffensesMurders) +\end{figure} ## Victim type @@ -19060,86 +8627,50 @@ Table \@ref(tab:victimType) shows each of the victim types and how commonly they The next most common type is business at 15.6% of victims, "society/public" at 12.9% of victims, and the government in 1% of victims. When the victim is society/public that means that the offense is a "victimless crime" or one where there is no specific victim. This includes drug offenses, animal cruelty (animals cannon be victims in this data), prostitution-related offenses (purchasing, promoting, and being a prostitute), pornography/obscene materials, and weapon offenses. The remaining categories - financial institution, other victim type, unknown victim type, and religion organization - are each under 0.25% of victims. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:victimType)The distribution of the type of victim, 2023. Victim types are mutually exclusive.
Type of Victim First Year \# of Victims \% of Victims
Individual 1991 9,828,448 70.62\%
Business 1991 2,167,742 15.58\%
Society/Public 1991 1,584,720 11.39\%
Government 1991 155,343 1.12\%
Law Enforcement Officer 2002 85,905 0.62\%
Other 1991 39,381 0.28\%
Financial Institution 1991 21,677 0.16\%
Unknown 1991 18,041 0.13\%
Religious Organization 1991 15,395 0.11\%
Total - 13,916,652 100\%
- - - -
-Percent of victimizations whose victim type of 'law enforcement officer,' 'business,' or 'invidual,' 1991-2023. -

(\#fig:nibrsVictimPercentIndividualOfficer)Percent of victimizations whose victim type of 'law enforcement officer,' 'business,' or 'invidual,' 1991-2023.

-
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:victimType)The distribution of the type of victim, 2023. Victim types are mutually exclusive.}\\ +\hline +Type of Victim & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims\\ +\hline +\endfirsthead +\caption[]{(\#tab:victimType)The distribution of the type of victim, 2023. Victim types are mutually exclusive. \textit{(continued)}}\\ +\hline +Type of Victim & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims\\ +\hline +\endhead +Individual & 1991 & 9,828,448 & 70.62\textbackslash{}\%\\ +\hline +Business & 1991 & 2,167,742 & 15.58\textbackslash{}\%\\ +\hline +Society/Public & 1991 & 1,584,720 & 11.39\textbackslash{}\%\\ +\hline +Government & 1991 & 155,343 & 1.12\textbackslash{}\%\\ +\hline +Law Enforcement Officer & 2002 & 85,905 & 0.62\textbackslash{}\%\\ +\hline +Other & 1991 & 39,381 & 0.28\textbackslash{}\%\\ +\hline +Financial Institution & 1991 & 21,677 & 0.16\textbackslash{}\%\\ +\hline +Unknown & 1991 & 18,041 & 0.13\textbackslash{}\%\\ +\hline +Religious Organization & 1991 & 15,395 & 0.11\textbackslash{}\%\\ +\hline +Total & - & 13,916,652 & 100\textbackslash{}\%\\ +\hline +\end{longtable} + + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimPercentIndividualOfficer-1} + +} + +\caption{Percent of victimizations whose victim type of 'law enforcement officer,' 'business,' or 'invidual,' 1991-2023.}(\#fig:nibrsVictimPercentIndividualOfficer) +\end{figure} ## Injury @@ -19163,667 +8694,255 @@ Even though there are up to five victim injuries recorded, for the below graphs Figure \@ref(fig:victimInjury) shows the eight injury categories and how common they are for all victims with this information reported. The most common type is "none" at 52.6% of injuries which means the victim did not suffer any injuries at all. This is followed by 42.0% of victims suffering "apparent minor injuries." The six serious injuries are far lesson common and given that nearly a third of victims suffer none or minor injuries are hard to see on the graph. To make it easier to see, Figure \@ref(fig:victimInjuryExcludeNone) shows the breakdown in victim injury excluding those who did not suffer an injury or those who suffered a minor injury. -
-The distribution of the injury sustained by the victim, 2023. Only individual and law enforcement officer victims have this variable available. -

(\#fig:victimInjury)The distribution of the injury sustained by the victim, 2023. Only individual and law enforcement officer victims have this variable available.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/victimInjury-1} + +} + +\caption{The distribution of the injury sustained by the victim, 2023. Only individual and law enforcement officer victims have this variable available.}(\#fig:victimInjury) +\end{figure} For the group who suffered one of the six more serious injury types, 32.1% suffered an "other major injury" which is a serious injury other than one of the other categories. This is followed by 25.8% having a serious laceration (a laceration is a cut), 21.6% having a possible internal injury, and 12.5% having an apparent broken bone. About 6.5% of these victims became unconscious at some point in the incident, and 1.5% lost at least one tooth. Trends for law enforcement officer victims (not shown) are nearly identical for those with an injury but have more victims reporting no injury at all relative to non-law enforcement officer victims. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseCrimeInjury)The number and percent of victim injury by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to five injuries per victim; in this table we only use the first injury reported. There can be up to 10 offenses per victim; in this table we only use the first offense reported.
Crime Injury \# of Offenses \% of Offenses
Assault Offenses - Aggravated Assault None 360,659 49.11\%
Assault Offenses - Aggravated Assault Apparent Minor Injuries 194,088 26.43\%
Assault Offenses - Aggravated Assault Other Major Injury 69,039 9.40\%
Assault Offenses - Aggravated Assault Severe Laceration 44,958 6.12\%
Assault Offenses - Aggravated Assault Possible Internal Injury 35,753 4.87\%
Assault Offenses - Aggravated Assault Apparent Broken Bones 18,040 2.46\%
Assault Offenses - Aggravated Assault Unconsciousness 9,336 1.27\%
Assault Offenses - Aggravated Assault Loss of Teeth 2,506 0.34\%
Assault Offenses - Aggravated Assault Total 734,379 100\%
Assault Offenses - Simple Assault Apparent Minor Injuries 1,109,178 50.53\%
Assault Offenses - Simple Assault None 1,085,936 49.47\%
Assault Offenses - Simple Assault Other Major Injury 1 0.00\%
Assault Offenses - Simple Assault Total 2,195,115 100\%
Extortion/Blackmail None 25,868 98.13\%
Extortion/Blackmail Unknown 378 1.43\%
Extortion/Blackmail Apparent Minor Injuries 82 0.31\%
Extortion/Blackmail Other Major Injury 18 0.07\%
Extortion/Blackmail Loss of Teeth 5 0.02\%
Extortion/Blackmail Unconsciousness 4 0.02\%
Extortion/Blackmail Severe Laceration 3 0.01\%
Extortion/Blackmail Apparent Broken Bones 2 0.01\%
Extortion/Blackmail Possible Internal Injury 1 0.00\%
Extortion/Blackmail Total 26,361 100\%
Human Trafficking - Commercial Sex Acts None 1,819 92.38\%
Human Trafficking - Commercial Sex Acts Apparent Minor Injuries 98 4.98\%
Human Trafficking - Commercial Sex Acts Possible Internal Injury 25 1.27\%
Human Trafficking - Commercial Sex Acts Other Major Injury 15 0.76\%
Human Trafficking - Commercial Sex Acts Apparent Broken Bones 8 0.41\%
Human Trafficking - Commercial Sex Acts Unconsciousness 2 0.10\%
Human Trafficking - Commercial Sex Acts Loss of Teeth 2 0.10\%
Human Trafficking - Commercial Sex Acts Total 1,969 100\%
Human Trafficking - Involuntary Servitude None 541 91.39\%
Human Trafficking - Involuntary Servitude Apparent Minor Injuries 40 6.76\%
Human Trafficking - Involuntary Servitude Other Major Injury 6 1.01\%
Human Trafficking - Involuntary Servitude Possible Internal Injury 3 0.51\%
Human Trafficking - Involuntary Servitude Apparent Broken Bones 2 0.34\%
Human Trafficking - Involuntary Servitude Total 592 100\%
Kidnapping/Abduction None 28,007 56.93\%
Kidnapping/Abduction Apparent Minor Injuries 16,718 33.98\%
Kidnapping/Abduction Possible Internal Injury 1,598 3.25\%
Kidnapping/Abduction Other Major Injury 1,424 2.89\%
Kidnapping/Abduction Severe Laceration 589 1.20\%
Kidnapping/Abduction Apparent Broken Bones 411 0.84\%
Kidnapping/Abduction Unconsciousness 400 0.81\%
Kidnapping/Abduction Loss of Teeth 46 0.09\%
Kidnapping/Abduction Total 49,193 100\%
Murder/Nonnegligent Manslaughter Unknown 15,826 98.03\%
Murder/Nonnegligent Manslaughter Other Major Injury 225 1.39\%
Murder/Nonnegligent Manslaughter Possible Internal Injury 28 0.17\%
Murder/Nonnegligent Manslaughter None 23 0.14\%
Murder/Nonnegligent Manslaughter Unconsciousness 15 0.09\%
Murder/Nonnegligent Manslaughter Severe Laceration 14 0.09\%
Murder/Nonnegligent Manslaughter Apparent Broken Bones 7 0.04\%
Murder/Nonnegligent Manslaughter Apparent Minor Injuries 6 0.04\%
Murder/Nonnegligent Manslaughter Total 16,144 100\%
Robbery None 137,133 59.02\%
Robbery Apparent Minor Injuries 50,658 21.80\%
Robbery Unknown 33,999 14.63\%
Robbery Other Major Injury 3,366 1.45\%
Robbery Severe Laceration 3,271 1.41\%
Robbery Possible Internal Injury 2,088 0.90\%
Robbery Apparent Broken Bones 1,050 0.45\%
Robbery Unconsciousness 587 0.25\%
Robbery Loss of Teeth 188 0.08\%
Robbery Total 232,340 100\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) None 85,691 92.49\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Apparent Minor Injuries 5,193 5.60\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Possible Internal Injury 1,089 1.18\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Other Major Injury 510 0.55\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Unconsciousness 82 0.09\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Apparent Broken Bones 38 0.04\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Severe Laceration 33 0.04\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Loss of Teeth 14 0.02\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Total 92,650 100\%
Sex Offenses - Rape None 57,292 72.85\%
Sex Offenses - Rape Apparent Minor Injuries 13,731 17.46\%
Sex Offenses - Rape Possible Internal Injury 5,547 7.05\%
Sex Offenses - Rape Other Major Injury 1,256 1.60\%
Sex Offenses - Rape Unconsciousness 574 0.73\%
Sex Offenses - Rape Severe Laceration 132 0.17\%
Sex Offenses - Rape Apparent Broken Bones 92 0.12\%
Sex Offenses - Rape Loss of Teeth 24 0.03\%
Sex Offenses - Rape Total 78,648 100\%
Sex Offenses - Sexual Assault With An Object None 5,457 74.57\%
Sex Offenses - Sexual Assault With An Object Apparent Minor Injuries 1,165 15.92\%
Sex Offenses - Sexual Assault With An Object Possible Internal Injury 565 7.72\%
Sex Offenses - Sexual Assault With An Object Other Major Injury 84 1.15\%
Sex Offenses - Sexual Assault With An Object Unconsciousness 24 0.33\%
Sex Offenses - Sexual Assault With An Object Severe Laceration 12 0.16\%
Sex Offenses - Sexual Assault With An Object Apparent Broken Bones 9 0.12\%
Sex Offenses - Sexual Assault With An Object Loss of Teeth 2 0.03\%
Sex Offenses - Sexual Assault With An Object Total 7,318 100\%
Sex Offenses - Sodomy None 15,728 81.27\%
Sex Offenses - Sodomy Apparent Minor Injuries 2,321 11.99\%
Sex Offenses - Sodomy Possible Internal Injury 987 5.10\%
Sex Offenses - Sodomy Other Major Injury 196 1.01\%
Sex Offenses - Sodomy Unconsciousness 72 0.37\%
Sex Offenses - Sodomy Severe Laceration 30 0.16\%
Sex Offenses - Sodomy Apparent Broken Bones 16 0.08\%
Sex Offenses - Sodomy Loss of Teeth 2 0.01\%
Sex Offenses - Sodomy Total 19,352 100\%
Sex Offenses - Statutory Rape Unknown 8,054 99.58\%
Sex Offenses - Statutory Rape None 30 0.37\%
Sex Offenses - Statutory Rape Apparent Minor Injuries 4 0.05\%
Sex Offenses - Statutory Rape Total 8,088 100\%
- - - - - -
-Victim injury for assault offenses, by injury severity, 1991-2023. Major injury is all injury types other than 'none' and 'apparent minor injuries' which are 'other major injury,' 'severe laceration,' possible internal injury,' apparent broken bones,' 'unconsciousness,' and 'loss of teeth.' -

(\#fig:nibrsVictimAssaultInjury)Victim injury for assault offenses, by injury severity, 1991-2023. Major injury is all injury types other than 'none' and 'apparent minor injuries' which are 'other major injury,' 'severe laceration,' possible internal injury,' apparent broken bones,' 'unconsciousness,' and 'loss of teeth.'

-
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseCrimeInjury)The number and percent of victim injury by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to five injuries per victim; in this table we only use the first injury reported. There can be up to 10 offenses per victim; in this table we only use the first offense reported.}\\ +\hline +Crime & Injury & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseCrimeInjury)The number and percent of victim injury by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to five injuries per victim; in this table we only use the first injury reported. There can be up to 10 offenses per victim; in this table we only use the first offense reported. \textit{(continued)}}\\ +\hline +Crime & Injury & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Assault Offenses - Aggravated Assault & None & 360,659 & 49.11\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Apparent Minor Injuries & 194,088 & 26.43\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Other Major Injury & 69,039 & 9.40\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Severe Laceration & 44,958 & 6.12\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Possible Internal Injury & 35,753 & 4.87\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Apparent Broken Bones & 18,040 & 2.46\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Unconsciousness & 9,336 & 1.27\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Loss of Teeth & 2,506 & 0.34\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Total & 734,379 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Apparent Minor Injuries & 1,109,178 & 50.53\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & None & 1,085,936 & 49.47\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Other Major Injury & 1 & 0.00\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Total & 2,195,115 & 100\textbackslash{}\%\\ +\hline +Extortion/Blackmail & None & 25,868 & 98.13\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Unknown & 378 & 1.43\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Apparent Minor Injuries & 82 & 0.31\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Other Major Injury & 18 & 0.07\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Loss of Teeth & 5 & 0.02\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Unconsciousness & 4 & 0.02\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Severe Laceration & 3 & 0.01\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Apparent Broken Bones & 2 & 0.01\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Possible Internal Injury & 1 & 0.00\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Total & 26,361 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & None & 1,819 & 92.38\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Apparent Minor Injuries & 98 & 4.98\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Possible Internal Injury & 25 & 1.27\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Other Major Injury & 15 & 0.76\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Apparent Broken Bones & 8 & 0.41\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Unconsciousness & 2 & 0.10\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Loss of Teeth & 2 & 0.10\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Total & 1,969 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & None & 541 & 91.39\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Apparent Minor Injuries & 40 & 6.76\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Other Major Injury & 6 & 1.01\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Possible Internal Injury & 3 & 0.51\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Apparent Broken Bones & 2 & 0.34\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Total & 592 & 100\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & None & 28,007 & 56.93\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Apparent Minor Injuries & 16,718 & 33.98\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Possible Internal Injury & 1,598 & 3.25\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Other Major Injury & 1,424 & 2.89\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Severe Laceration & 589 & 1.20\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Apparent Broken Bones & 411 & 0.84\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Unconsciousness & 400 & 0.81\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Loss of Teeth & 46 & 0.09\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Total & 49,193 & 100\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Unknown & 15,826 & 98.03\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Other Major Injury & 225 & 1.39\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Possible Internal Injury & 28 & 0.17\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & None & 23 & 0.14\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Unconsciousness & 15 & 0.09\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Severe Laceration & 14 & 0.09\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Apparent Broken Bones & 7 & 0.04\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Apparent Minor Injuries & 6 & 0.04\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Total & 16,144 & 100\textbackslash{}\%\\ +\hline +Robbery & None & 137,133 & 59.02\textbackslash{}\%\\ +\hline +Robbery & Apparent Minor Injuries & 50,658 & 21.80\textbackslash{}\%\\ +\hline +Robbery & Unknown & 33,999 & 14.63\textbackslash{}\%\\ +\hline +Robbery & Other Major Injury & 3,366 & 1.45\textbackslash{}\%\\ +\hline +Robbery & Severe Laceration & 3,271 & 1.41\textbackslash{}\%\\ +\hline +Robbery & Possible Internal Injury & 2,088 & 0.90\textbackslash{}\%\\ +\hline +Robbery & Apparent Broken Bones & 1,050 & 0.45\textbackslash{}\%\\ +\hline +Robbery & Unconsciousness & 587 & 0.25\textbackslash{}\%\\ +\hline +Robbery & Loss of Teeth & 188 & 0.08\textbackslash{}\%\\ +\hline +Robbery & Total & 232,340 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & None & 85,691 & 92.49\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Apparent Minor Injuries & 5,193 & 5.60\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Possible Internal Injury & 1,089 & 1.18\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Other Major Injury & 510 & 0.55\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Unconsciousness & 82 & 0.09\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Apparent Broken Bones & 38 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Severe Laceration & 33 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Loss of Teeth & 14 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Total & 92,650 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & None & 57,292 & 72.85\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Apparent Minor Injuries & 13,731 & 17.46\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Possible Internal Injury & 5,547 & 7.05\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Other Major Injury & 1,256 & 1.60\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Unconsciousness & 574 & 0.73\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Severe Laceration & 132 & 0.17\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Apparent Broken Bones & 92 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Loss of Teeth & 24 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Total & 78,648 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & None & 5,457 & 74.57\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Apparent Minor Injuries & 1,165 & 15.92\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Possible Internal Injury & 565 & 7.72\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Other Major Injury & 84 & 1.15\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Unconsciousness & 24 & 0.33\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Severe Laceration & 12 & 0.16\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Apparent Broken Bones & 9 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Loss of Teeth & 2 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Total & 7,318 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & None & 15,728 & 81.27\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Apparent Minor Injuries & 2,321 & 11.99\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Possible Internal Injury & 987 & 5.10\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Other Major Injury & 196 & 1.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Unconsciousness & 72 & 0.37\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Severe Laceration & 30 & 0.16\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Apparent Broken Bones & 16 & 0.08\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Loss of Teeth & 2 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Total & 19,352 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Unknown & 8,054 & 99.58\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & None & 30 & 0.37\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Apparent Minor Injuries & 4 & 0.05\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Total & 8,088 & 100\textbackslash{}\%\\ +\hline +\end{longtable} + + + + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimAssaultInjury-1} + +} + +\caption{Victim injury for assault offenses, by injury severity, 1991-2023. Major injury is all injury types other than 'none' and 'apparent minor injuries' which are 'other major injury,' 'severe laceration,' possible internal injury,' apparent broken bones,' 'unconsciousness,' and 'loss of teeth.'}(\#fig:nibrsVictimAssaultInjury) +\end{figure} ## Relationship to offender @@ -19832,1959 +8951,657 @@ One interesting variable in this segment is that we know the relationship betwee Table \@ref(tab:victimRelationship) shows each of the relationship categories and how frequently they occur. The most common relationship category, accounting for 19.8% of relationships was that the relationship was unknown. This is followed by 14.4% of victims being the boyfriend or girlfriend (we can find out which by looking at their sex) of the offender. Then victims were the acquaintance of or a stranger to the offender at 13% and 12.8%, respectively. The only other categories that account for over 5% of victims are the victim being "otherwise known" to the offender at 9.5% and being the spouse of the offender at 5.4%. One relationship to note is that when the victim "was child" that means they were the offender's biological or adopted child. This does not mean that they are actually a child (<18 years old). - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:victimRelationship)The distribution of the relationship between the victim and the offender. Only individual and law enforcement officer victims have this variable available, 2023.
Crime Category First Year \# of Victims \% of Victims \# of Officer Victims \% of Officer Victims
Relationship Unknown 1991 1,363,398 25.31\% 18,636 21.84\%
Victim Was Stranger 1991 885,609 16.44\% 49,927 58.52\%
Victim Was Boyfriend/Girlfriend 1991 577,023 10.71\% 119 0.14\%
Victim Was Acquaintance 1991 564,856 10.49\% 2,460 2.88\%
Victim Was Otherwise Known 1991 427,730 7.94\% 13,625 15.97\%
Victim Was Spouse 1991 233,719 4.34\% 46 0.05\%
Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 2017 192,551 3.57\% 19 0.02\%
Victim Was Parent 1991 191,072 3.55\% 27 0.03\%
Victim Was Child 1991 145,138 2.69\% 5 0.01\%
Victim Was Other Family Member 1991 125,412 2.33\% 45 0.05\%
Victim Was Sibling (Brother Or Sister) 1991 120,732 2.24\% 16 0.02\%
Victim Was Friend 1991 105,166 1.95\% 11 0.01\%
Victim Was Offender 1991 100,034 1.86\% 6 0.01\%
Victim Was Neighbor 1991 95,074 1.77\% 24 0.03\%
Victim Was Ex-Spouse 1991 86,707 1.61\% 24 0.03\%
Victim Was Common-Law Spouse 1991 26,392 0.49\% 11 0.01\%
Victim Was In-Law 1991 23,378 0.43\% 45 0.05\%
Victim Was Step-Child 1991 21,505 0.40\% 3 0.00\%
Victim Was Grandparent 1991 21,361 0.40\% 7 0.01\%
Victim Was Step-Parent 1991 17,322 0.32\% 3 0.00\%
Victim Was Employee 1991 16,410 0.30\% 229 0.27\%
Victim Was Employer 1991 14,967 0.28\% 8 0.01\%
Victim Was Child of Boyfriend/Girlfriend 1991 13,662 0.25\% 2 0.00\%
Victim Was Grandchild 1991 9,814 0.18\% 0 0.00\%
Victim Was Step-Sibling (Stepbrother Or Stepsister) 1991 4,775 0.09\% 13 0.02\%
Victim Was Babysittee (The Baby) 1991 2,498 0.05\% 2 0.00\%
Victim Was Cohabitant 2022 17 0.00\% 0 0.00\%
Victim Was Foster Child 2023 2 0.00\% 0 0.00\%
Victim Was Foster Parent 2023 2 0.00\% 0 0.00\%
Total - 5,386,326 100\% 85,313 100\%
+ +\begin{longtable}[t]{l|l|r|r|r|l} +\caption{(\#tab:victimRelationship)The distribution of the relationship between the victim and the offender. Only individual and law enforcement officer victims have this variable available, 2023.}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims & \textbackslash{}\# of Officer Victims & \textbackslash{}\% of Officer Victims\\ +\hline +\endfirsthead +\caption[]{(\#tab:victimRelationship)The distribution of the relationship between the victim and the offender. Only individual and law enforcement officer victims have this variable available, 2023. \textit{(continued)}}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims & \textbackslash{}\# of Officer Victims & \textbackslash{}\% of Officer Victims\\ +\hline +\endhead +Relationship Unknown & 1991 & 1,363,398 & 25.31\textbackslash{}\% & 18,636 & 21.84\textbackslash{}\%\\ +\hline +Victim Was Stranger & 1991 & 885,609 & 16.44\textbackslash{}\% & 49,927 & 58.52\textbackslash{}\%\\ +\hline +Victim Was Boyfriend/Girlfriend & 1991 & 577,023 & 10.71\textbackslash{}\% & 119 & 0.14\textbackslash{}\%\\ +\hline +Victim Was Acquaintance & 1991 & 564,856 & 10.49\textbackslash{}\% & 2,460 & 2.88\textbackslash{}\%\\ +\hline +Victim Was Otherwise Known & 1991 & 427,730 & 7.94\textbackslash{}\% & 13,625 & 15.97\textbackslash{}\%\\ +\hline +Victim Was Spouse & 1991 & 233,719 & 4.34\textbackslash{}\% & 46 & 0.05\textbackslash{}\%\\ +\hline +Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 2017 & 192,551 & 3.57\textbackslash{}\% & 19 & 0.02\textbackslash{}\%\\ +\hline +Victim Was Parent & 1991 & 191,072 & 3.55\textbackslash{}\% & 27 & 0.03\textbackslash{}\%\\ +\hline +Victim Was Child & 1991 & 145,138 & 2.69\textbackslash{}\% & 5 & 0.01\textbackslash{}\%\\ +\hline +Victim Was Other Family Member & 1991 & 125,412 & 2.33\textbackslash{}\% & 45 & 0.05\textbackslash{}\%\\ +\hline +Victim Was Sibling (Brother Or Sister) & 1991 & 120,732 & 2.24\textbackslash{}\% & 16 & 0.02\textbackslash{}\%\\ +\hline +Victim Was Friend & 1991 & 105,166 & 1.95\textbackslash{}\% & 11 & 0.01\textbackslash{}\%\\ +\hline +Victim Was Offender & 1991 & 100,034 & 1.86\textbackslash{}\% & 6 & 0.01\textbackslash{}\%\\ +\hline +Victim Was Neighbor & 1991 & 95,074 & 1.77\textbackslash{}\% & 24 & 0.03\textbackslash{}\%\\ +\hline +Victim Was Ex-Spouse & 1991 & 86,707 & 1.61\textbackslash{}\% & 24 & 0.03\textbackslash{}\%\\ +\hline +Victim Was Common-Law Spouse & 1991 & 26,392 & 0.49\textbackslash{}\% & 11 & 0.01\textbackslash{}\%\\ +\hline +Victim Was In-Law & 1991 & 23,378 & 0.43\textbackslash{}\% & 45 & 0.05\textbackslash{}\%\\ +\hline +Victim Was Step-Child & 1991 & 21,505 & 0.40\textbackslash{}\% & 3 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Grandparent & 1991 & 21,361 & 0.40\textbackslash{}\% & 7 & 0.01\textbackslash{}\%\\ +\hline +Victim Was Step-Parent & 1991 & 17,322 & 0.32\textbackslash{}\% & 3 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Employee & 1991 & 16,410 & 0.30\textbackslash{}\% & 229 & 0.27\textbackslash{}\%\\ +\hline +Victim Was Employer & 1991 & 14,967 & 0.28\textbackslash{}\% & 8 & 0.01\textbackslash{}\%\\ +\hline +Victim Was Child of Boyfriend/Girlfriend & 1991 & 13,662 & 0.25\textbackslash{}\% & 2 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Grandchild & 1991 & 9,814 & 0.18\textbackslash{}\% & 0 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Step-Sibling (Stepbrother Or Stepsister) & 1991 & 4,775 & 0.09\textbackslash{}\% & 13 & 0.02\textbackslash{}\%\\ +\hline +Victim Was Babysittee (The Baby) & 1991 & 2,498 & 0.05\textbackslash{}\% & 2 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Cohabitant & 2022 & 17 & 0.00\textbackslash{}\% & 0 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Foster Child & 2023 & 2 & 0.00\textbackslash{}\% & 0 & 0.00\textbackslash{}\%\\ +\hline +Victim Was Foster Parent & 2023 & 2 & 0.00\textbackslash{}\% & 0 & 0.00\textbackslash{}\%\\ +\hline +Total & - & 5,386,326 & 100\textbackslash{}\% & 85,313 & 100\textbackslash{}\%\\ +\hline +\end{longtable} We also know the relationship between victim and offender when the victim is a law enforcement officer. As shown in Table \@ref(tab:victimRelationshipPolice), most of the time the officer did not know the offender, with 58.9% of victimizations being this relationship type. This is followed by 18.7% where the officer knew the offender, including if they were familiar with the person by arresting or stopping them previously. In about 18.5% we do not know the relationship as it is unknown and in 3.2% the officer and the offender were acquaintances. There are also a number of unlikely (and some impossible) relationships like the three in which the officer was the offender's child and the one in which the officer was a baby who was abused by their babysitter. These seem to be clear indications that there are some data errors with this variable. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:offenseVictimRelationship)The number and percent of victim relationships to offender by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to 10 victim-offender relationships per victim; in this table we only use the first relationship reported. The top five most common relationships are shown, all other relationships are combined into an 'All Other' category.
Crime Relationship to Offender \# of Offenses \% of Offenses
Arson Relationship Unknown 3,384 38.88\%
Arson Victim Was Stranger 1,187 13.64\%
Arson Victim Was Acquaintance 857 9.85\%
Arson Victim Was Otherwise Known 768 8.82\%
Arson Victim Was Parent 509 5.85\%
Arson All Other 1,998 22.94\%
Arson Total 8,703 100\%
Assault Offenses - Aggravated Assault Relationship Unknown 130,972 20.44\%
Assault Offenses - Aggravated Assault Victim Was Stranger 110,612 17.26\%
Assault Offenses - Aggravated Assault Victim Was Boyfriend/Girlfriend 86,718 13.53\%
Assault Offenses - Aggravated Assault Victim Was Acquaintance 72,366 11.29\%
Assault Offenses - Aggravated Assault Victim Was Otherwise Known 54,343 8.48\%
Assault Offenses - Aggravated Assault All Other 185,872 28.99\%
Assault Offenses - Aggravated Assault Total 640,883 100\%
Assault Offenses - Intimidation Victim Was Stranger 110,982 17.47\%
Assault Offenses - Intimidation Relationship Unknown 100,315 15.79\%
Assault Offenses - Intimidation Victim Was Acquaintance 99,324 15.64\%
Assault Offenses - Intimidation Victim Was Otherwise Known 72,784 11.46\%
Assault Offenses - Intimidation Victim Was Boyfriend/Girlfriend 40,247 6.34\%
Assault Offenses - Intimidation All Other 211,541 33.32\%
Assault Offenses - Intimidation Total 635,193 100\%
Assault Offenses - Simple Assault Victim Was Boyfriend/Girlfriend 382,337 18.24\%
Assault Offenses - Simple Assault Victim Was Acquaintance 232,009 11.07\%
Assault Offenses - Simple Assault Victim Was Stranger 226,920 10.83\%
Assault Offenses - Simple Assault Relationship Unknown 205,105 9.79\%
Assault Offenses - Simple Assault Victim Was Otherwise Known 194,410 9.28\%
Assault Offenses - Simple Assault All Other 855,156 40.8\%
Assault Offenses - Simple Assault Total 2,095,937 100\%
Bribery Victim Was Stranger 92 29.87\%
Bribery Victim Was Otherwise Known 48 15.58\%
Bribery Relationship Unknown 46 14.94\%
Bribery Victim Was Acquaintance 31 10.06\%
Bribery Victim Was Ex-Spouse 19 6.17\%
Bribery All Other 72 23.36\%
Bribery Total 308 100\%
Burglary/Breaking And Entering Relationship Unknown 79,200 48.71\%
Burglary/Breaking And Entering Victim Was Stranger 38,700 23.80\%
Burglary/Breaking And Entering Victim Was Acquaintance 11,187 6.88\%
Burglary/Breaking And Entering Victim Was Otherwise Known 8,708 5.36\%
Burglary/Breaking And Entering Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 6,076 3.74\%
Burglary/Breaking And Entering All Other 18,740 11.53\%
Burglary/Breaking And Entering Total 162,611 100\%
Counterfeiting/Forgery Relationship Unknown 11,272 47.62\%
Counterfeiting/Forgery Victim Was Stranger 6,933 29.29\%
Counterfeiting/Forgery Victim Was Acquaintance 1,364 5.76\%
Counterfeiting/Forgery Victim Was Otherwise Known 1,155 4.88\%
Counterfeiting/Forgery Victim Was Parent 392 1.66\%
Counterfeiting/Forgery All Other 2,557 10.78\%
Counterfeiting/Forgery Total 23,673 100\%
Destruction/Damage/Vandalism of Property Relationship Unknown 125,739 38.32\%
Destruction/Damage/Vandalism of Property Victim Was Stranger 53,892 16.43\%
Destruction/Damage/Vandalism of Property Victim Was Acquaintance 26,496 8.08\%
Destruction/Damage/Vandalism of Property Victim Was Otherwise Known 23,036 7.02\%
Destruction/Damage/Vandalism of Property Victim Was Boyfriend/Girlfriend 19,365 5.90\%
Destruction/Damage/Vandalism of Property All Other 79,580 24.26\%
Destruction/Damage/Vandalism of Property Total 328,108 100\%
Embezzlement Victim Was Employer 799 19.95\%
Embezzlement Victim Was Acquaintance 580 14.48\%
Embezzlement Relationship Unknown 573 14.30\%
Embezzlement Victim Was Otherwise Known 447 11.16\%
Embezzlement Victim Was Stranger 405 10.11\%
Embezzlement All Other 1,202 29.99\%
Embezzlement Total 4,006 100\%
Extortion/Blackmail Relationship Unknown 3,999 52.53\%
Extortion/Blackmail Victim Was Stranger 1,741 22.87\%
Extortion/Blackmail Victim Was Acquaintance 715 9.39\%
Extortion/Blackmail Victim Was Otherwise Known 425 5.58\%
Extortion/Blackmail Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 226 2.97\%
Extortion/Blackmail All Other 507 6.7\%
Extortion/Blackmail Total 7,613 100\%
Fraud Offenses - Credit Card/Atm Fraud Relationship Unknown 13,475 46.29\%
Fraud Offenses - Credit Card/Atm Fraud Victim Was Stranger 5,746 19.74\%
Fraud Offenses - Credit Card/Atm Fraud Victim Was Acquaintance 2,428 8.34\%
Fraud Offenses - Credit Card/Atm Fraud Victim Was Otherwise Known 1,626 5.59\%
Fraud Offenses - Credit Card/Atm Fraud Victim Was Parent 1,256 4.31\%
Fraud Offenses - Credit Card/Atm Fraud All Other 4,581 15.74\%
Fraud Offenses - Credit Card/Atm Fraud Total 29,112 100\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Relationship Unknown 31,220 45.82\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Victim Was Stranger 17,750 26.05\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Victim Was Acquaintance 6,011 8.82\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Victim Was Otherwise Known 5,257 7.72\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Victim Was Friend 1,234 1.81\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game All Other 6,665 9.78\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Total 68,137 100\%
Fraud Offenses - Hacking/Computer Invasion Relationship Unknown 656 47.13\%
Fraud Offenses - Hacking/Computer Invasion Victim Was Stranger 225 16.16\%
Fraud Offenses - Hacking/Computer Invasion Victim Was Acquaintance 113 8.12\%
Fraud Offenses - Hacking/Computer Invasion Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 100 7.18\%
Fraud Offenses - Hacking/Computer Invasion Victim Was Otherwise Known 91 6.54\%
Fraud Offenses - Hacking/Computer Invasion All Other 207 14.88\%
Fraud Offenses - Hacking/Computer Invasion Total 1,392 100\%
Fraud Offenses - Identity Theft Relationship Unknown 30,814 65.57\%
Fraud Offenses - Identity Theft Victim Was Stranger 8,814 18.76\%
Fraud Offenses - Identity Theft Victim Was Acquaintance 1,331 2.83\%
Fraud Offenses - Identity Theft Victim Was Otherwise Known 1,210 2.57\%
Fraud Offenses - Identity Theft Victim Was Sibling (Brother Or Sister) 1,082 2.30\%
Fraud Offenses - Identity Theft All Other 3,741 7.97\%
Fraud Offenses - Identity Theft Total 46,992 100\%
Fraud Offenses - Impersonation Relationship Unknown 8,505 51.08\%
Fraud Offenses - Impersonation Victim Was Stranger 3,844 23.09\%
Fraud Offenses - Impersonation Victim Was Sibling (Brother Or Sister) 1,278 7.68\%
Fraud Offenses - Impersonation Victim Was Acquaintance 697 4.19\%
Fraud Offenses - Impersonation Victim Was Otherwise Known 677 4.07\%
Fraud Offenses - Impersonation All Other 1,648 9.89\%
Fraud Offenses - Impersonation Total 16,649 100\%
Fraud Offenses - Welfare Fraud Relationship Unknown 236 45.83\%
Fraud Offenses - Welfare Fraud Victim Was Acquaintance 54 10.49\%
Fraud Offenses - Welfare Fraud Victim Was Otherwise Known 48 9.32\%
Fraud Offenses - Welfare Fraud Victim Was Stranger 47 9.13\%
Fraud Offenses - Welfare Fraud Victim Was Friend 24 4.66\%
Fraud Offenses - Welfare Fraud All Other 106 20.58\%
Fraud Offenses - Welfare Fraud Total 515 100\%
Fraud Offenses - Wire Fraud Relationship Unknown 3,694 52.85\%
Fraud Offenses - Wire Fraud Victim Was Stranger 1,701 24.34\%
Fraud Offenses - Wire Fraud Victim Was Acquaintance 452 6.47\%
Fraud Offenses - Wire Fraud Victim Was Otherwise Known 370 5.29\%
Fraud Offenses - Wire Fraud Victim Was Parent 176 2.52\%
Fraud Offenses - Wire Fraud All Other 596 8.52\%
Fraud Offenses - Wire Fraud Total 6,989 100\%
Human Trafficking - Commercial Sex Acts Relationship Unknown 373 24.35\%
Human Trafficking - Commercial Sex Acts Victim Was Acquaintance 356 23.24\%
Human Trafficking - Commercial Sex Acts Victim Was Stranger 274 17.89\%
Human Trafficking - Commercial Sex Acts Victim Was Otherwise Known 200 13.05\%
Human Trafficking - Commercial Sex Acts Victim Was Boyfriend/Girlfriend 106 6.92\%
Human Trafficking - Commercial Sex Acts All Other 223 14.57\%
Human Trafficking - Commercial Sex Acts Total 1,532 100\%
Human Trafficking - Involuntary Servitude Relationship Unknown 183 36.53\%
Human Trafficking - Involuntary Servitude Victim Was Acquaintance 96 19.16\%
Human Trafficking - Involuntary Servitude Victim Was Stranger 81 16.17\%
Human Trafficking - Involuntary Servitude Victim Was Otherwise Known 48 9.58\%
Human Trafficking - Involuntary Servitude Victim Was Employee 29 5.79\%
Human Trafficking - Involuntary Servitude All Other 64 12.78\%
Human Trafficking - Involuntary Servitude Total 501 100\%
Justifiable Homicide - Not A Crime Victim Was Stranger 285 42.04\%
Justifiable Homicide - Not A Crime Relationship Unknown 155 22.86\%
Justifiable Homicide - Not A Crime Victim Was Acquaintance 71 10.47\%
Justifiable Homicide - Not A Crime Victim Was Otherwise Known 71 10.47\%
Justifiable Homicide - Not A Crime Victim Was Friend 15 2.21\%
Justifiable Homicide - Not A Crime All Other 81 11.95\%
Justifiable Homicide - Not A Crime Total 678 100\%
Kidnapping/Abduction Victim Was Boyfriend/Girlfriend 13,924 29.66\%
Kidnapping/Abduction Relationship Unknown 4,577 9.75\%
Kidnapping/Abduction Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 4,304 9.17\%
Kidnapping/Abduction Victim Was Stranger 3,964 8.44\%
Kidnapping/Abduction Victim Was Spouse 3,906 8.32\%
Kidnapping/Abduction All Other 16,271 34.66\%
Kidnapping/Abduction Total 46,946 100\%
Larceny/Theft Offenses - All Other Larceny Relationship Unknown 155,863 49.01\%
Larceny/Theft Offenses - All Other Larceny Victim Was Stranger 69,009 21.70\%
Larceny/Theft Offenses - All Other Larceny Victim Was Acquaintance 27,241 8.57\%
Larceny/Theft Offenses - All Other Larceny Victim Was Otherwise Known 17,341 5.45\%
Larceny/Theft Offenses - All Other Larceny Victim Was Friend 6,820 2.14\%
Larceny/Theft Offenses - All Other Larceny All Other 41,728 13.14\%
Larceny/Theft Offenses - All Other Larceny Total 318,002 100\%
Larceny/Theft Offenses - Pocket-Picking Relationship Unknown 4,386 51.20\%
Larceny/Theft Offenses - Pocket-Picking Victim Was Stranger 2,717 31.72\%
Larceny/Theft Offenses - Pocket-Picking Victim Was Acquaintance 522 6.09\%
Larceny/Theft Offenses - Pocket-Picking Victim Was Otherwise Known 251 2.93\%
Larceny/Theft Offenses - Pocket-Picking Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 116 1.35\%
Larceny/Theft Offenses - Pocket-Picking All Other 574 6.69\%
Larceny/Theft Offenses - Pocket-Picking Total 8,566 100\%
Larceny/Theft Offenses - Purse-Snatching Victim Was Stranger 2,185 41.86\%
Larceny/Theft Offenses - Purse-Snatching Relationship Unknown 2,181 41.78\%
Larceny/Theft Offenses - Purse-Snatching Victim Was Acquaintance 268 5.13\%
Larceny/Theft Offenses - Purse-Snatching Victim Was Otherwise Known 141 2.70\%
Larceny/Theft Offenses - Purse-Snatching Victim Was Boyfriend/Girlfriend 101 1.93\%
Larceny/Theft Offenses - Purse-Snatching All Other 344 6.61\%
Larceny/Theft Offenses - Purse-Snatching Total 5,220 100\%
Larceny/Theft Offenses - Shoplifting Victim Was Stranger 12,151 58.10\%
Larceny/Theft Offenses - Shoplifting Relationship Unknown 7,490 35.81\%
Larceny/Theft Offenses - Shoplifting Victim Was Otherwise Known 459 2.19\%
Larceny/Theft Offenses - Shoplifting Victim Was Acquaintance 417 1.99\%
Larceny/Theft Offenses - Shoplifting Victim Was Employee 103 0.49\%
Larceny/Theft Offenses - Shoplifting All Other 294 1.39\%
Larceny/Theft Offenses - Shoplifting Total 20,914 100\%
Larceny/Theft Offenses - Theft From Building Relationship Unknown 38,177 46.22\%
Larceny/Theft Offenses - Theft From Building Victim Was Stranger 15,605 18.89\%
Larceny/Theft Offenses - Theft From Building Victim Was Acquaintance 8,397 10.17\%
Larceny/Theft Offenses - Theft From Building Victim Was Otherwise Known 5,573 6.75\%
Larceny/Theft Offenses - Theft From Building Victim Was Friend 2,391 2.89\%
Larceny/Theft Offenses - Theft From Building All Other 12,462 15.09\%
Larceny/Theft Offenses - Theft From Building Total 82,605 100\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Relationship Unknown 317 54.84\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Victim Was Stranger 205 35.47\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Victim Was Acquaintance 20 3.46\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Victim Was Otherwise Known 16 2.77\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Victim Was Other Family Member 4 0.69\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device All Other 16 2.76\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Total 578 100\%
Larceny/Theft Offenses - Theft From Motor Vehicle Relationship Unknown 127,318 73.41\%
Larceny/Theft Offenses - Theft From Motor Vehicle Victim Was Stranger 37,404 21.57\%
Larceny/Theft Offenses - Theft From Motor Vehicle Victim Was Acquaintance 2,530 1.46\%
Larceny/Theft Offenses - Theft From Motor Vehicle Victim Was Otherwise Known 2,001 1.15\%
Larceny/Theft Offenses - Theft From Motor Vehicle Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 882 0.51\%
Larceny/Theft Offenses - Theft From Motor Vehicle All Other 3,300 1.9\%
Larceny/Theft Offenses - Theft From Motor Vehicle Total 173,435 100\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Relationship Unknown 36,681 83.48\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Victim Was Stranger 5,138 11.69\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Victim Was Acquaintance 635 1.45\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Victim Was Otherwise Known 434 0.99\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) 249 0.57\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories All Other 803 1.81\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Total 43,940 100\%
Motor Vehicle Theft Relationship Unknown 118,493 62.46\%
Motor Vehicle Theft Victim Was Stranger 38,363 20.22\%
Motor Vehicle Theft Victim Was Acquaintance 9,676 5.10\%
Motor Vehicle Theft Victim Was Otherwise Known 5,018 2.65\%
Motor Vehicle Theft Victim Was Parent 4,173 2.20\%
Motor Vehicle Theft All Other 13,990 7.37\%
Motor Vehicle Theft Total 189,713 100\%
Murder/Nonnegligent Manslaughter Relationship Unknown 5,029 39.02\%
Murder/Nonnegligent Manslaughter Victim Was Acquaintance 2,057 15.96\%
Murder/Nonnegligent Manslaughter Victim Was Stranger 1,464 11.36\%
Murder/Nonnegligent Manslaughter Victim Was Otherwise Known 931 7.22\%
Murder/Nonnegligent Manslaughter Victim Was Boyfriend/Girlfriend 684 5.31\%
Murder/Nonnegligent Manslaughter All Other 2,724 21.13\%
Murder/Nonnegligent Manslaughter Total 12,889 100\%
Negligent Manslaughter Victim Was Stranger 713 36.89\%
Negligent Manslaughter Relationship Unknown 366 18.93\%
Negligent Manslaughter Victim Was Friend 199 10.29\%
Negligent Manslaughter Victim Was Acquaintance 193 9.98\%
Negligent Manslaughter Victim Was Child 140 7.24\%
Negligent Manslaughter All Other 322 16.68\%
Negligent Manslaughter Total 1,933 100\%
Robbery Victim Was Stranger 69,531 43.00\%
Robbery Relationship Unknown 61,648 38.13\%
Robbery Victim Was Acquaintance 11,434 7.07\%
Robbery Victim Was Otherwise Known 5,585 3.45\%
Robbery Victim Was Boyfriend/Girlfriend 4,053 2.51\%
Robbery All Other 9,436 5.82\%
Robbery Total 161,687 100\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Victim Was Acquaintance 16,449 19.72\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Victim Was Otherwise Known 10,379 12.44\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Relationship Unknown 9,653 11.57\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Victim Was Stranger 8,974 10.76\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Victim Was Child 7,701 9.23\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) All Other 30,267 36.29\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Total 83,423 100\%
Sex Offenses - Incest Victim Was Child 445 36.78\%
Sex Offenses - Incest Victim Was Sibling (Brother Or Sister) 325 26.86\%
Sex Offenses - Incest Victim Was Other Family Member 222 18.35\%
Sex Offenses - Incest Victim Was Grandchild 48 3.97\%
Sex Offenses - Incest Victim Was Step-Child 43 3.55\%
Sex Offenses - Incest All Other 127 10.52\%
Sex Offenses - Incest Total 1,210 100\%
Sex Offenses - Rape Victim Was Acquaintance 16,663 23.78\%
Sex Offenses - Rape Relationship Unknown 9,492 13.55\%
Sex Offenses - Rape Victim Was Boyfriend/Girlfriend 7,271 10.38\%
Sex Offenses - Rape Victim Was Otherwise Known 6,445 9.20\%
Sex Offenses - Rape Victim Was Friend 5,248 7.49\%
Sex Offenses - Rape All Other 24,943 35.61\%
Sex Offenses - Rape Total 70,062 100\%
Sex Offenses - Sexual Assault With An Object Victim Was Acquaintance 1,271 19.24\%
Sex Offenses - Sexual Assault With An Object Relationship Unknown 875 13.24\%
Sex Offenses - Sexual Assault With An Object Victim Was Otherwise Known 842 12.74\%
Sex Offenses - Sexual Assault With An Object Victim Was Child 550 8.32\%
Sex Offenses - Sexual Assault With An Object Victim Was Other Family Member 518 7.84\%
Sex Offenses - Sexual Assault With An Object All Other 2,551 38.6\%
Sex Offenses - Sexual Assault With An Object Total 6,607 100\%
Sex Offenses - Sodomy Victim Was Acquaintance 3,576 20.08\%
Sex Offenses - Sodomy Relationship Unknown 2,425 13.62\%
Sex Offenses - Sodomy Victim Was Otherwise Known 2,020 11.34\%
Sex Offenses - Sodomy Victim Was Other Family Member 1,685 9.46\%
Sex Offenses - Sodomy Victim Was Stranger 1,238 6.95\%
Sex Offenses - Sodomy All Other 6,864 38.55\%
Sex Offenses - Sodomy Total 17,808 100\%
Sex Offenses - Statutory Rape Victim Was Acquaintance 1,787 24.71\%
Sex Offenses - Statutory Rape Victim Was Boyfriend/Girlfriend 1,611 22.28\%
Sex Offenses - Statutory Rape Victim Was Otherwise Known 799 11.05\%
Sex Offenses - Statutory Rape Relationship Unknown 747 10.33\%
Sex Offenses - Statutory Rape Victim Was Friend 554 7.66\%
Sex Offenses - Statutory Rape All Other 1,734 23.97\%
Sex Offenses - Statutory Rape Total 7,232 100\%
Stolen Property Offenses (Receiving, Selling, Etc.) Relationship Unknown 27,746 51.36\%
Stolen Property Offenses (Receiving, Selling, Etc.) Victim Was Stranger 21,070 39.00\%
Stolen Property Offenses (Receiving, Selling, Etc.) Victim Was Acquaintance 1,542 2.85\%
Stolen Property Offenses (Receiving, Selling, Etc.) Victim Was Otherwise Known 1,281 2.37\%
Stolen Property Offenses (Receiving, Selling, Etc.) Victim Was Parent 471 0.87\%
Stolen Property Offenses (Receiving, Selling, Etc.) All Other 1,914 3.53\%
Stolen Property Offenses (Receiving, Selling, Etc.) Total 54,024 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:offenseVictimRelationship)The number and percent of victim relationships to offender by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to 10 victim-offender relationships per victim; in this table we only use the first relationship reported. The top five most common relationships are shown, all other relationships are combined into an 'All Other' category. }\\ +\hline +Crime & Relationship to Offender & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:offenseVictimRelationship)The number and percent of victim relationships to offender by offense, 2023. This breakdown is only available for a subset of offenses. There can be up to 10 victim-offender relationships per victim; in this table we only use the first relationship reported. The top five most common relationships are shown, all other relationships are combined into an 'All Other' category. \textit{(continued)}}\\ +\hline +Crime & Relationship to Offender & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Arson & Relationship Unknown & 3,384 & 38.88\textbackslash{}\%\\ +\hline +Arson & Victim Was Stranger & 1,187 & 13.64\textbackslash{}\%\\ +\hline +Arson & Victim Was Acquaintance & 857 & 9.85\textbackslash{}\%\\ +\hline +Arson & Victim Was Otherwise Known & 768 & 8.82\textbackslash{}\%\\ +\hline +Arson & Victim Was Parent & 509 & 5.85\textbackslash{}\%\\ +\hline +Arson & All Other & 1,998 & 22.94\textbackslash{}\%\\ +\hline +Arson & Total & 8,703 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Relationship Unknown & 130,972 & 20.44\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Victim Was Stranger & 110,612 & 17.26\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Victim Was Boyfriend/Girlfriend & 86,718 & 13.53\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Victim Was Acquaintance & 72,366 & 11.29\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Victim Was Otherwise Known & 54,343 & 8.48\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & All Other & 185,872 & 28.99\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Total & 640,883 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Victim Was Stranger & 110,982 & 17.47\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Relationship Unknown & 100,315 & 15.79\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Victim Was Acquaintance & 99,324 & 15.64\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Victim Was Otherwise Known & 72,784 & 11.46\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Victim Was Boyfriend/Girlfriend & 40,247 & 6.34\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & All Other & 211,541 & 33.32\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Total & 635,193 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Victim Was Boyfriend/Girlfriend & 382,337 & 18.24\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Victim Was Acquaintance & 232,009 & 11.07\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Victim Was Stranger & 226,920 & 10.83\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Relationship Unknown & 205,105 & 9.79\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Victim Was Otherwise Known & 194,410 & 9.28\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & All Other & 855,156 & 40.8\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Total & 2,095,937 & 100\textbackslash{}\%\\ +\hline +Bribery & Victim Was Stranger & 92 & 29.87\textbackslash{}\%\\ +\hline +Bribery & Victim Was Otherwise Known & 48 & 15.58\textbackslash{}\%\\ +\hline +Bribery & Relationship Unknown & 46 & 14.94\textbackslash{}\%\\ +\hline +Bribery & Victim Was Acquaintance & 31 & 10.06\textbackslash{}\%\\ +\hline +Bribery & Victim Was Ex-Spouse & 19 & 6.17\textbackslash{}\%\\ +\hline +Bribery & All Other & 72 & 23.36\textbackslash{}\%\\ +\hline +Bribery & Total & 308 & 100\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Relationship Unknown & 79,200 & 48.71\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Victim Was Stranger & 38,700 & 23.80\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Victim Was Acquaintance & 11,187 & 6.88\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Victim Was Otherwise Known & 8,708 & 5.36\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 6,076 & 3.74\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & All Other & 18,740 & 11.53\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Total & 162,611 & 100\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Relationship Unknown & 11,272 & 47.62\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Victim Was Stranger & 6,933 & 29.29\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Victim Was Acquaintance & 1,364 & 5.76\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Victim Was Otherwise Known & 1,155 & 4.88\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Victim Was Parent & 392 & 1.66\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & All Other & 2,557 & 10.78\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Total & 23,673 & 100\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Relationship Unknown & 125,739 & 38.32\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Victim Was Stranger & 53,892 & 16.43\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Victim Was Acquaintance & 26,496 & 8.08\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Victim Was Otherwise Known & 23,036 & 7.02\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Victim Was Boyfriend/Girlfriend & 19,365 & 5.90\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & All Other & 79,580 & 24.26\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Total & 328,108 & 100\textbackslash{}\%\\ +\hline +Embezzlement & Victim Was Employer & 799 & 19.95\textbackslash{}\%\\ +\hline +Embezzlement & Victim Was Acquaintance & 580 & 14.48\textbackslash{}\%\\ +\hline +Embezzlement & Relationship Unknown & 573 & 14.30\textbackslash{}\%\\ +\hline +Embezzlement & Victim Was Otherwise Known & 447 & 11.16\textbackslash{}\%\\ +\hline +Embezzlement & Victim Was Stranger & 405 & 10.11\textbackslash{}\%\\ +\hline +Embezzlement & All Other & 1,202 & 29.99\textbackslash{}\%\\ +\hline +Embezzlement & Total & 4,006 & 100\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Relationship Unknown & 3,999 & 52.53\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Victim Was Stranger & 1,741 & 22.87\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Victim Was Acquaintance & 715 & 9.39\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Victim Was Otherwise Known & 425 & 5.58\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 226 & 2.97\textbackslash{}\%\\ +\hline +Extortion/Blackmail & All Other & 507 & 6.7\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Total & 7,613 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Relationship Unknown & 13,475 & 46.29\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Victim Was Stranger & 5,746 & 19.74\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Victim Was Acquaintance & 2,428 & 8.34\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Victim Was Otherwise Known & 1,626 & 5.59\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Victim Was Parent & 1,256 & 4.31\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & All Other & 4,581 & 15.74\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Total & 29,112 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Relationship Unknown & 31,220 & 45.82\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Victim Was Stranger & 17,750 & 26.05\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Victim Was Acquaintance & 6,011 & 8.82\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Victim Was Otherwise Known & 5,257 & 7.72\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Victim Was Friend & 1,234 & 1.81\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & All Other & 6,665 & 9.78\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Total & 68,137 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Relationship Unknown & 656 & 47.13\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Victim Was Stranger & 225 & 16.16\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Victim Was Acquaintance & 113 & 8.12\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 100 & 7.18\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Victim Was Otherwise Known & 91 & 6.54\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & All Other & 207 & 14.88\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Total & 1,392 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Relationship Unknown & 30,814 & 65.57\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Victim Was Stranger & 8,814 & 18.76\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Victim Was Acquaintance & 1,331 & 2.83\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Victim Was Otherwise Known & 1,210 & 2.57\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Victim Was Sibling (Brother Or Sister) & 1,082 & 2.30\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & All Other & 3,741 & 7.97\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Total & 46,992 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Relationship Unknown & 8,505 & 51.08\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Victim Was Stranger & 3,844 & 23.09\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Victim Was Sibling (Brother Or Sister) & 1,278 & 7.68\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Victim Was Acquaintance & 697 & 4.19\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Victim Was Otherwise Known & 677 & 4.07\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & All Other & 1,648 & 9.89\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Total & 16,649 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Relationship Unknown & 236 & 45.83\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Victim Was Acquaintance & 54 & 10.49\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Victim Was Otherwise Known & 48 & 9.32\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Victim Was Stranger & 47 & 9.13\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Victim Was Friend & 24 & 4.66\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & All Other & 106 & 20.58\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Total & 515 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Relationship Unknown & 3,694 & 52.85\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Victim Was Stranger & 1,701 & 24.34\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Victim Was Acquaintance & 452 & 6.47\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Victim Was Otherwise Known & 370 & 5.29\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Victim Was Parent & 176 & 2.52\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & All Other & 596 & 8.52\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Total & 6,989 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Relationship Unknown & 373 & 24.35\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Victim Was Acquaintance & 356 & 23.24\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Victim Was Stranger & 274 & 17.89\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Victim Was Otherwise Known & 200 & 13.05\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Victim Was Boyfriend/Girlfriend & 106 & 6.92\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & All Other & 223 & 14.57\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Total & 1,532 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Relationship Unknown & 183 & 36.53\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Victim Was Acquaintance & 96 & 19.16\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Victim Was Stranger & 81 & 16.17\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Victim Was Otherwise Known & 48 & 9.58\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Victim Was Employee & 29 & 5.79\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & All Other & 64 & 12.78\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Total & 501 & 100\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Victim Was Stranger & 285 & 42.04\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Relationship Unknown & 155 & 22.86\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Victim Was Acquaintance & 71 & 10.47\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Victim Was Otherwise Known & 71 & 10.47\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Victim Was Friend & 15 & 2.21\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & All Other & 81 & 11.95\textbackslash{}\%\\ +\hline +Justifiable Homicide - Not A Crime & Total & 678 & 100\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Victim Was Boyfriend/Girlfriend & 13,924 & 29.66\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Relationship Unknown & 4,577 & 9.75\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 4,304 & 9.17\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Victim Was Stranger & 3,964 & 8.44\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Victim Was Spouse & 3,906 & 8.32\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & All Other & 16,271 & 34.66\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Total & 46,946 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Relationship Unknown & 155,863 & 49.01\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Victim Was Stranger & 69,009 & 21.70\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Victim Was Acquaintance & 27,241 & 8.57\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Victim Was Otherwise Known & 17,341 & 5.45\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Victim Was Friend & 6,820 & 2.14\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & All Other & 41,728 & 13.14\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Total & 318,002 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Relationship Unknown & 4,386 & 51.20\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Victim Was Stranger & 2,717 & 31.72\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Victim Was Acquaintance & 522 & 6.09\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Victim Was Otherwise Known & 251 & 2.93\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 116 & 1.35\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & All Other & 574 & 6.69\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Total & 8,566 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Victim Was Stranger & 2,185 & 41.86\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Relationship Unknown & 2,181 & 41.78\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Victim Was Acquaintance & 268 & 5.13\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Victim Was Otherwise Known & 141 & 2.70\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Victim Was Boyfriend/Girlfriend & 101 & 1.93\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & All Other & 344 & 6.61\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Total & 5,220 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Victim Was Stranger & 12,151 & 58.10\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Relationship Unknown & 7,490 & 35.81\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Victim Was Otherwise Known & 459 & 2.19\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Victim Was Acquaintance & 417 & 1.99\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Victim Was Employee & 103 & 0.49\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & All Other & 294 & 1.39\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Total & 20,914 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Relationship Unknown & 38,177 & 46.22\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Victim Was Stranger & 15,605 & 18.89\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Victim Was Acquaintance & 8,397 & 10.17\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Victim Was Otherwise Known & 5,573 & 6.75\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Victim Was Friend & 2,391 & 2.89\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & All Other & 12,462 & 15.09\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Total & 82,605 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Relationship Unknown & 317 & 54.84\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Victim Was Stranger & 205 & 35.47\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Victim Was Acquaintance & 20 & 3.46\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Victim Was Otherwise Known & 16 & 2.77\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Victim Was Other Family Member & 4 & 0.69\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & All Other & 16 & 2.76\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Total & 578 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Relationship Unknown & 127,318 & 73.41\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Victim Was Stranger & 37,404 & 21.57\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Victim Was Acquaintance & 2,530 & 1.46\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Victim Was Otherwise Known & 2,001 & 1.15\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 882 & 0.51\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & All Other & 3,300 & 1.9\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Total & 173,435 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Relationship Unknown & 36,681 & 83.48\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Victim Was Stranger & 5,138 & 11.69\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Victim Was Acquaintance & 635 & 1.45\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Victim Was Otherwise Known & 434 & 0.99\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Victim Was Ex-Relationship (Ex-Boyfriend/Ex-Girlfriend) & 249 & 0.57\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & All Other & 803 & 1.81\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Total & 43,940 & 100\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Relationship Unknown & 118,493 & 62.46\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Victim Was Stranger & 38,363 & 20.22\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Victim Was Acquaintance & 9,676 & 5.10\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Victim Was Otherwise Known & 5,018 & 2.65\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Victim Was Parent & 4,173 & 2.20\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & All Other & 13,990 & 7.37\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Total & 189,713 & 100\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Relationship Unknown & 5,029 & 39.02\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Victim Was Acquaintance & 2,057 & 15.96\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Victim Was Stranger & 1,464 & 11.36\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Victim Was Otherwise Known & 931 & 7.22\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Victim Was Boyfriend/Girlfriend & 684 & 5.31\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & All Other & 2,724 & 21.13\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Total & 12,889 & 100\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Victim Was Stranger & 713 & 36.89\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Relationship Unknown & 366 & 18.93\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Victim Was Friend & 199 & 10.29\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Victim Was Acquaintance & 193 & 9.98\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Victim Was Child & 140 & 7.24\textbackslash{}\%\\ +\hline +Negligent Manslaughter & All Other & 322 & 16.68\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Total & 1,933 & 100\textbackslash{}\%\\ +\hline +Robbery & Victim Was Stranger & 69,531 & 43.00\textbackslash{}\%\\ +\hline +Robbery & Relationship Unknown & 61,648 & 38.13\textbackslash{}\%\\ +\hline +Robbery & Victim Was Acquaintance & 11,434 & 7.07\textbackslash{}\%\\ +\hline +Robbery & Victim Was Otherwise Known & 5,585 & 3.45\textbackslash{}\%\\ +\hline +Robbery & Victim Was Boyfriend/Girlfriend & 4,053 & 2.51\textbackslash{}\%\\ +\hline +Robbery & All Other & 9,436 & 5.82\textbackslash{}\%\\ +\hline +Robbery & Total & 161,687 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Victim Was Acquaintance & 16,449 & 19.72\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Victim Was Otherwise Known & 10,379 & 12.44\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Relationship Unknown & 9,653 & 11.57\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Victim Was Stranger & 8,974 & 10.76\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Victim Was Child & 7,701 & 9.23\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & All Other & 30,267 & 36.29\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Total & 83,423 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Victim Was Child & 445 & 36.78\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Victim Was Sibling (Brother Or Sister) & 325 & 26.86\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Victim Was Other Family Member & 222 & 18.35\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Victim Was Grandchild & 48 & 3.97\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Victim Was Step-Child & 43 & 3.55\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & All Other & 127 & 10.52\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Total & 1,210 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Victim Was Acquaintance & 16,663 & 23.78\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Relationship Unknown & 9,492 & 13.55\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Victim Was Boyfriend/Girlfriend & 7,271 & 10.38\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Victim Was Otherwise Known & 6,445 & 9.20\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Victim Was Friend & 5,248 & 7.49\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & All Other & 24,943 & 35.61\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Total & 70,062 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Victim Was Acquaintance & 1,271 & 19.24\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Relationship Unknown & 875 & 13.24\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Victim Was Otherwise Known & 842 & 12.74\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Victim Was Child & 550 & 8.32\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Victim Was Other Family Member & 518 & 7.84\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & All Other & 2,551 & 38.6\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Total & 6,607 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Victim Was Acquaintance & 3,576 & 20.08\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Relationship Unknown & 2,425 & 13.62\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Victim Was Otherwise Known & 2,020 & 11.34\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Victim Was Other Family Member & 1,685 & 9.46\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Victim Was Stranger & 1,238 & 6.95\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & All Other & 6,864 & 38.55\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Total & 17,808 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Victim Was Acquaintance & 1,787 & 24.71\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Victim Was Boyfriend/Girlfriend & 1,611 & 22.28\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Victim Was Otherwise Known & 799 & 11.05\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Relationship Unknown & 747 & 10.33\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Victim Was Friend & 554 & 7.66\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & All Other & 1,734 & 23.97\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Total & 7,232 & 100\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Relationship Unknown & 27,746 & 51.36\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Victim Was Stranger & 21,070 & 39.00\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Victim Was Acquaintance & 1,542 & 2.85\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Victim Was Otherwise Known & 1,281 & 2.37\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Victim Was Parent & 471 & 0.87\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & All Other & 1,914 & 3.53\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Total & 54,024 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -21793,146 +9610,55 @@ We also know the relationship between victim and offender when the victim is a l In cases of aggravated assault or homicide we have some information about the motive of the offender. There can be up to two motives, what NIBRS calls circumstances, for each of these offenses. Table \@ref(tab:victimAggAssault) shows all of the possible circumstances in the data, and shows the frequency only of the first circumstance. The most common circumstance is that there was an argument, and this accounts for 42.7% of these victims. The next most common is 24% which had unknown circumstances followed by 18.7% with "other" circumstances. The next most common group is "lovers' quarrel" which the FBI relabeled as "domestic violence" beginning in 2019. This group accounts for 9.4% of victims. Assault on law enforcement officers is the next most common group at 2.8% of victims. All other groups are less common than 2% of victims. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:victimAggAssault)The distribution of circumstances for aggravated assault and homicides, 2023.
Circumstance Crime Category First Year \# of Victims \% of Victims
Argument Aggravated Assault/Murder 1991 294,313 38.57\%
Unknown Circumstances Aggravated Assault/Murder 1991 184,583 24.19\%
Other Circumstances Aggravated Assault/Murder 1991 143,124 18.75\%
Domestic Violence (Historically Called Lovers Triangle/Quarrel) Aggravated Assault/Murder 1991 99,067 12.98\%
Assault On Law Enforcement Officer(s) Aggravated Assault/Murder 1991 22,595 2.96\%
Other Felony Involved Aggravated Assault/Murder 1991 9,620 1.26\%
Gangland (Organized Crime Involvement) Aggravated Assault/Murder 1991 3,066 0.40\%
Drug Dealing Aggravated Assault/Murder 1991 2,136 0.28\%
Juvenile Gang Aggravated Assault/Murder 1991 1,905 0.25\%
Other Negligent Killings Negligent Manslaughter 1991 1,670 0.22\%
Criminal Killed By Private Citizen Justifiable Homicide 1991 443 0.06\%
Other Negligent Weapon Handling Negligent Manslaughter 1991 298 0.04\%
Criminal Killed By Police Officer Justifiable Homicide 1992 248 0.03\%
Child Playing With Weapon Negligent Manslaughter 1991 38 0.00\%
Mercy Killing (Not Applicable To Aggravated Assault) Aggravated Assault/Murder 1993 16 0.00\%
Gun-Cleaning Accident Negligent Manslaughter 1992 10 0.00\%
Hunting Accident Negligent Manslaughter 1991 2 0.00\%
Total Aggravated Assault/Murder - 763,134 100\%
+ +\begin{longtable}[t]{l|l|r|r|l} +\caption{(\#tab:victimAggAssault)The distribution of circumstances for aggravated assault and homicides, 2023.}\\ +\hline +Circumstance & Crime Category & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims\\ +\hline +\endfirsthead +\caption[]{(\#tab:victimAggAssault)The distribution of circumstances for aggravated assault and homicides, 2023. \textit{(continued)}}\\ +\hline +Circumstance & Crime Category & First Year & \textbackslash{}\# of Victims & \textbackslash{}\% of Victims\\ +\hline +\endhead +Argument & Aggravated Assault/Murder & 1991 & 294,313 & 38.57\textbackslash{}\%\\ +\hline +Unknown Circumstances & Aggravated Assault/Murder & 1991 & 184,583 & 24.19\textbackslash{}\%\\ +\hline +Other Circumstances & Aggravated Assault/Murder & 1991 & 143,124 & 18.75\textbackslash{}\%\\ +\hline +Domestic Violence (Historically Called Lovers Triangle/Quarrel) & Aggravated Assault/Murder & 1991 & 99,067 & 12.98\textbackslash{}\%\\ +\hline +Assault On Law Enforcement Officer(s) & Aggravated Assault/Murder & 1991 & 22,595 & 2.96\textbackslash{}\%\\ +\hline +Other Felony Involved & Aggravated Assault/Murder & 1991 & 9,620 & 1.26\textbackslash{}\%\\ +\hline +Gangland (Organized Crime Involvement) & Aggravated Assault/Murder & 1991 & 3,066 & 0.40\textbackslash{}\%\\ +\hline +Drug Dealing & Aggravated Assault/Murder & 1991 & 2,136 & 0.28\textbackslash{}\%\\ +\hline +Juvenile Gang & Aggravated Assault/Murder & 1991 & 1,905 & 0.25\textbackslash{}\%\\ +\hline +Other Negligent Killings & Negligent Manslaughter & 1991 & 1,670 & 0.22\textbackslash{}\%\\ +\hline +Criminal Killed By Private Citizen & Justifiable Homicide & 1991 & 443 & 0.06\textbackslash{}\%\\ +\hline +Other Negligent Weapon Handling & Negligent Manslaughter & 1991 & 298 & 0.04\textbackslash{}\%\\ +\hline +Criminal Killed By Police Officer & Justifiable Homicide & 1992 & 248 & 0.03\textbackslash{}\%\\ +\hline +Child Playing With Weapon & Negligent Manslaughter & 1991 & 38 & 0.00\textbackslash{}\%\\ +\hline +Mercy Killing (Not Applicable To Aggravated Assault) & Aggravated Assault/Murder & 1993 & 16 & 0.00\textbackslash{}\%\\ +\hline +Gun-Cleaning Accident & Negligent Manslaughter & 1992 & 10 & 0.00\textbackslash{}\%\\ +\hline +Hunting Accident & Negligent Manslaughter & 1991 & 2 & 0.00\textbackslash{}\%\\ +\hline +Total & Aggravated Assault/Murder & - & 763,134 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -21940,10 +9666,14 @@ In cases of aggravated assault or homicide we have some information about the mo We know a little bit more in cases of justifiable homicides. Here, we know the circumstances behind the homicide. Figure \@ref(fig:victimJustifiableHomicide) shows the circumstance breakdown for all 308 justifiable homicides reported in 2019. The most common reason, at 34.4% of justifiable homicides is because the offender attacked a civilian. In 21% of justifiable homicides the offender attacked a police officer and was killed by the same officer. In 6.5% the offender attacked a police officer and was killed by a different officer. This is followed by 28% being killed during the commission of a crime. In 4.9% of justifiable homicides, the circumstance is unknown. 3.6% had the offender killed while fleeing from a crime and 1% were killed while resisting arrest. -
-The distribution of circumstances for justifiable homicides (N = 308 in 2022 for all agencies reporting). -

(\#fig:victimJustifiableHomicide)The distribution of circumstances for justifiable homicides (N = 308 in 2022 for all agencies reporting).

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/victimJustifiableHomicide-1} + +} + +\caption{The distribution of circumstances for justifiable homicides (N = 308 in 2022 for all agencies reporting).}(\#fig:victimJustifiableHomicide) +\end{figure} ## Demographics @@ -21958,15 +9688,23 @@ Table \@ref(fig:victimResidenceStatus) shows the residence status for all indivi One proposed measure to improve policing is to require police officers (or at least newly hired officers) live in the city where they work. The idea here is that people will do a better job if it affects the place they consider home.^[Since crime is generally concentrated in a small number of impoverished parts of town, and police likely would not live in these parts, this probably would not be very effective.] Luckily for us, NIBRS includes law enforcement officers in their measure of whether the victim lives in the jurisdiction where they were victimized. Since law enforcement officers are only recorded to be victims when on the job, this is one measure of where officers live. -
-The share of victims by resident status in the reporting agency's jurisdiction, 1991-2023. -

(\#fig:nibrsVictimResidentStatus)The share of victims by resident status in the reporting agency's jurisdiction, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimResidentStatus-1} + +} + +\caption{The share of victims by resident status in the reporting agency's jurisdiction, 1991-2023.}(\#fig:nibrsVictimResidentStatus) +\end{figure} -
-The share of victims by resident status in the reporting agency's jurisdiction for law enforcement officer victims, 1991-2023. -

(\#fig:nibrsVictimResidentStatusOfficer)The share of victims by resident status in the reporting agency's jurisdiction for law enforcement officer victims, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimResidentStatusOfficer-1} + +} + +\caption{The share of victims by resident status in the reporting agency's jurisdiction for law enforcement officer victims, 1991-2023.}(\#fig:nibrsVictimResidentStatusOfficer) +\end{figure} ### Age @@ -21974,30 +9712,46 @@ This variable is the age of the victim when the crime occurred, regardless of wh Figure \@ref(fig:victimAge) shows the percent of victims at each age available. This is pretty similar to the age of offenders shown in Figure \@ref(fig:offenderAge) with a peak in the mid to late 20s with a long decline after. The most common victim age is 27 followed by 28, 29, and 30. Relative to offender ages, there are far more young victims. About 2.8% of victims, or 145k victims, in 2019 were aged 14 or younger. However, remember that this is for all victims of any crime so age trends may differ by which crime you are looking at. -
-The age of all victims, 2023. -

(\#fig:victimAge)The age of all victims, 2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/victimAge-1} -
-The mean and median age of victims, 1991-2023. -

(\#fig:nibrsVictimAge)The mean and median age of victims, 1991-2023.

-
+} + +\caption{The age of all victims, 2023.}(\#fig:victimAge) +\end{figure} + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimAge-1} + +} + +\caption{The mean and median age of victims, 1991-2023.}(\#fig:nibrsVictimAge) +\end{figure} -
-The percent of victim's age that is unknown, 1991-2023. -

(\#fig:nibrsVictimAgeMissing)The percent of victim's age that is unknown, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimAgeMissing-1} + +} + +\caption{The percent of victim's age that is unknown, 1991-2023.}(\#fig:nibrsVictimAgeMissing) +\end{figure} ### Sex As with the Offender and the Arrestee Segments, we know the sex of the victim. The only choices are female, male, and unknown sex. There is no option for transgender or any other identify. Since the victim can tell the police their sex, and the police can see them clearly in most cases (though this may not be true if the victim reports a crime over the phone by calling 911 but then does not stay to be interviewed) so is more reliable than in the Offender Segment which may include guesses about the offender. The most common victim sex is female at 50.8% of victims, followed closely by male at 48.4%. Only about 0.8% of victims have an unknown sex. It is interesting that female victims are so common since most criminology research finds that male victims are so common. I think this is likely due to criminologists primarily focusing on murder and index violent crimes as their measure of crime, which ignores many other crimes.^[Murder and other violent crimes are mainly men hurting/killing other men, except in domestic violence which is primarily men hurting/killing women.] -
-The share of victims by sex, 1991-2023. -

(\#fig:nibrsVictimSex)The share of victims by sex, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimSex-1} + +} + +\caption{The share of victims by sex, 1991-2023.}(\#fig:nibrsVictimSex) +\end{figure} ### Race @@ -22009,10 +9763,14 @@ Figure \@ref(fig:victimRace) shows the breakdown in victims by race. Most victim -
-The share of victims by race, 1991-2023. -

(\#fig:nibrsVictimRace)The share of victims by race, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimRace-1} + +} + +\caption{The share of victims by race, 1991-2023.}(\#fig:nibrsVictimRace) +\end{figure} ### Ethnicity @@ -22023,10 +9781,14 @@ There’s also the question of reliability of the ethnicity data. Someone being Figure \@ref(fig:victimEthnicity) shows the breakdown in arrests by victim ethnicity for all victims in 2019. Most arrestees - 62.2% - are not Hispanic. Only 10.5% are reported to be Hispanic but a much higher percent of arrestees - 27.2% - have an unknown ethnicity. Given that over a quarter of victims do not have ethnicity data, if you would like to use this variable I recommend that you carefully examine the data to ensure that the agencies you are looking at (if you do not use all agencies in the data) have a much higher reporting rate. -
-The share of victims by ethnicity, 1991-2023. -

(\#fig:nibrsVictimEthnicity)The share of victims by ethnicity, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{15_nibrs_victim_files/figure-latex/nibrsVictimEthnicity-1} + +} + +\caption{The share of victims by ethnicity, 1991-2023.}(\#fig:nibrsVictimEthnicity) +\end{figure} @@ -22060,409 +9822,149 @@ One interesting part of this segment is that while it is associated with Group A Table \@ref(tab:arresteeCrime) shows the number and percent of arrests for all arrests associated with a Group A crime incident. Perhaps unsurprising, drug crimes are the most common arrest making up a quarter of all arrests (30% when including drug equipment crimes). Simple assault (assault without a weapon or without seriously injuring the victim) is the next most common at 19% of arrests, and aggravated assault is the 4th most common arrest crime at 6.3% of arrests. Theft, which NIBRS breaks into a number of subcategories of theft such as shoplifting and "all other larceny" is among the most common arrest crimes, making up ranks 3 and 6 of the top 6, as well as several other subcategories later on. The remaining crimes are all relatively rare, consisting of under 5% of arrests each. This is due to how the top crimes are broad categories (e.g. drug offenses ranges from simple possession to large scale sales but is all grouped into "drug/narcotic violations" here) while other crimes are specific (e.g. purse-snatching is a very specific form of theft). - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:arresteeCrime)The number and percent of arrests for Group A crimes for all arrests reported to NIBRS in 2022.
Crime Category First Year \# of Offenses \% of Offenses
Assault Offenses - Simple Assault 1991 728,805 21.64\%
Drug/Narcotic Offenses - Drug/Narcotic Violations 1991 698,760 20.75\%
Larceny/Theft Offenses - Shoplifting 1991 349,672 10.38\%
Assault Offenses - Aggravated Assault 1991 264,141 7.84\%
Drug/Narcotic Offenses - Drug Equipment Violations 1991 154,922 4.60\%
Larceny/Theft Offenses - All Other Larceny 1991 142,759 4.24\%
Weapon Law Violations - Weapon Law Violations 1991 138,286 4.11\%
Destruction/Damage/Vandalism of Property 1991 133,395 3.96\%
Assault Offenses - Intimidation 1991 107,256 3.18\%
Burglary/Breaking And Entering 1991 93,699 2.78\%
All Other Offenses 1991 83,387 2.48\%
Stolen Property Offenses (Receiving, Selling, Etc.) 1991 64,989 1.93\%
Motor Vehicle Theft 1991 61,858 1.84\%
Robbery 1991 53,027 1.57\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game 1991 34,190 1.02\%
Counterfeiting/Forgery 1991 27,967 0.83\%
Larceny/Theft Offenses - Theft From Motor Vehicle 1991 25,802 0.77\%
Larceny/Theft Offenses - Theft From Building 1991 20,803 0.62\%
Driving Under The Influence 1991 16,785 0.50\%
Disorderly Conduct 1991 15,554 0.46\%
Kidnapping/Abduction 1991 14,768 0.44\%
Trespass of Real Property 1991 13,618 0.40\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) 1991 11,780 0.35\%
Fraud Offenses - Impersonation 1991 11,388 0.34\%
Sex Offenses - Rape 1991 9,346 0.28\%
Murder/Nonnegligent Manslaughter 1991 8,486 0.25\%
Prostitution Offenses - Prostitution 1991 7,994 0.24\%
Fraud Offenses - Credit Card/Atm Fraud 1991 7,633 0.23\%
Fraud Offenses - Identity Theft 2015 7,523 0.22\%
Arson 1991 7,097 0.21\%
Embezzlement 1991 7,045 0.21\%
Pornography/Obscene Material 1991 6,266 0.19\%
Larceny/Theft Offenses - Pocket-Picking 1991 4,749 0.14\%
Liquor Law Violations 1991 4,631 0.14\%
Animal Cruelty 2015 4,554 0.14\%
Family Offenses, Nonviolent 1991 4,185 0.12\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories 1991 3,909 0.12\%
Sex Offenses - Sodomy 1991 2,353 0.07\%
Prostitution Offenses - Assisting Or Promoting Prostitution 1991 2,089 0.06\%
Prostitution Offenses - Purchasing Prostitution 2013 1,705 0.05\%
Curfew/Loitering/Vagrancy Violations 1991 1,586 0.05\%
Sex Offenses - Statutory Rape 1991 1,577 0.05\%
Larceny/Theft Offenses - Purse-Snatching 1991 1,323 0.04\%
Negligent Manslaughter 1991 1,006 0.03\%
Sex Offenses - Sexual Assault With An Object 1991 870 0.03\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device 1991 654 0.02\%
Gambling Offenses - Operating/Promoting/Assisting Gambling 1991 652 0.02\%
Gambling Offenses - Betting/Wagering 1991 570 0.02\%
Extortion/Blackmail 1991 460 0.01\%
Human Trafficking - Commercial Sex Acts 2013 453 0.01\%
Fraud Offenses - Wire Fraud 1991 364 0.01\%
Bribery 1991 269 0.01\%
Sex Offenses - Incest 1991 228 0.01\%
Gambling Offenses - Gambling Equipment Violations 1991 226 0.01\%
Fraud Offenses - Hacking/Computer Invasion 2015 175 0.01\%
Fraud Offenses - Welfare Fraud 1991 133 0.00\%
Human Trafficking - Involuntary Servitude 2014 78 0.00\%
Bond Default - Failure To Appear 2021 67 0.00\%
Fugitive Offenses - Flight To Avoid Prosecution 2021 58 0.00\%
Runaway 1991 38 0.00\%
Commerce Violations - Federal Liquor Offenses 2020 33 0.00\%
Sex Offenses - Failure To Register As A Sex Offender 2019 21 0.00\%
Weapon Law Violations - Explosives 2022 1 0.00\%
Commerce Violations - Wildlife Trafficking 2023 1 0.00\%
Total - 3,368,019 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:arresteeCrime)The number and percent of arrests for Group A crimes for all arrests reported to NIBRS in 2022.}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:arresteeCrime)The number and percent of arrests for Group A crimes for all arrests reported to NIBRS in 2022. \textit{(continued)}}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +Assault Offenses - Simple Assault & 1991 & 728,805 & 21.64\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & 1991 & 698,760 & 20.75\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & 1991 & 349,672 & 10.38\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & 1991 & 264,141 & 7.84\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & 1991 & 154,922 & 4.60\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & 1991 & 142,759 & 4.24\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & 1991 & 138,286 & 4.11\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & 1991 & 133,395 & 3.96\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & 1991 & 107,256 & 3.18\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & 1991 & 93,699 & 2.78\textbackslash{}\%\\ +\hline +All Other Offenses & 1991 & 83,387 & 2.48\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & 1991 & 64,989 & 1.93\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & 1991 & 61,858 & 1.84\textbackslash{}\%\\ +\hline +Robbery & 1991 & 53,027 & 1.57\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & 1991 & 34,190 & 1.02\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & 1991 & 27,967 & 0.83\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & 1991 & 25,802 & 0.77\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & 1991 & 20,803 & 0.62\textbackslash{}\%\\ +\hline +Driving Under The Influence & 1991 & 16,785 & 0.50\textbackslash{}\%\\ +\hline +Disorderly Conduct & 1991 & 15,554 & 0.46\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & 1991 & 14,768 & 0.44\textbackslash{}\%\\ +\hline +Trespass of Real Property & 1991 & 13,618 & 0.40\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & 1991 & 11,780 & 0.35\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & 1991 & 11,388 & 0.34\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & 1991 & 9,346 & 0.28\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & 1991 & 8,486 & 0.25\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & 1991 & 7,994 & 0.24\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & 1991 & 7,633 & 0.23\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & 2015 & 7,523 & 0.22\textbackslash{}\%\\ +\hline +Arson & 1991 & 7,097 & 0.21\textbackslash{}\%\\ +\hline +Embezzlement & 1991 & 7,045 & 0.21\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & 1991 & 6,266 & 0.19\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & 1991 & 4,749 & 0.14\textbackslash{}\%\\ +\hline +Liquor Law Violations & 1991 & 4,631 & 0.14\textbackslash{}\%\\ +\hline +Animal Cruelty & 2015 & 4,554 & 0.14\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & 1991 & 4,185 & 0.12\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & 1991 & 3,909 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & 1991 & 2,353 & 0.07\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & 1991 & 2,089 & 0.06\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & 2013 & 1,705 & 0.05\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & 1991 & 1,586 & 0.05\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & 1991 & 1,577 & 0.05\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & 1991 & 1,323 & 0.04\textbackslash{}\%\\ +\hline +Negligent Manslaughter & 1991 & 1,006 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & 1991 & 870 & 0.03\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & 1991 & 654 & 0.02\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & 1991 & 652 & 0.02\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & 1991 & 570 & 0.02\textbackslash{}\%\\ +\hline +Extortion/Blackmail & 1991 & 460 & 0.01\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & 2013 & 453 & 0.01\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & 1991 & 364 & 0.01\textbackslash{}\%\\ +\hline +Bribery & 1991 & 269 & 0.01\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & 1991 & 228 & 0.01\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & 1991 & 226 & 0.01\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & 2015 & 175 & 0.01\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & 1991 & 133 & 0.00\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & 2014 & 78 & 0.00\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & 2021 & 67 & 0.00\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & 2021 & 58 & 0.00\textbackslash{}\%\\ +\hline +Runaway & 1991 & 38 & 0.00\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & 2020 & 33 & 0.00\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & 2019 & 21 & 0.00\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & 2022 & 1 & 0.00\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & 2023 & 1 & 0.00\textbackslash{}\%\\ +\hline +Total & - & 3,368,019 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -22472,91 +9974,43 @@ Table \@ref(tab:GroupBarresteeCrime) shows the number and percent of arrests for Trespassing makes up 5.7% of arrests and this is unlawfully entering someone's property, including a building. The difference between this and burglary is that this is entering without any intent to commit theft or a felony. Disorderly conduct is a broad category ranging from indecent exposure (which should be its own sex offense but is not for some reason) to "profanity" and noise violations, and it makes up 6.2% of arrests. So be cautious with this offense as it ranges from very minor to quite serious and there is no distinguishing what actually happened. Drunkenness and liquor law violations make up 6% and 3.6% of arrests, respectively. The difference is that drunkenness is when someone is seriously drunk in public (to the point where they cannot control their own body) and liquor law violations are about illegal making or selling of liquor. So basically bootlegging, selling alcohol without a license (or to people not allowed to drink, like minors), or avoiding paying tax on alcohol sales. "Family Offenses, Nonviolent" is also a rather vague category and includes "nonviolent abuse" (which I guess means emotional abusive) as well as neglecting the child in a few different ways like not paying alimony and deserting the child. Since these are arrests, the actions have to reach the level of criminal behavior, simply being an awful parent (or even leaving the child, as long as they have another adult to watch them) is not this offense. Runaways is an offense that only applies to people under age 18. The remaining categories are all rare and none are more than 1% of arrests. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:GroupBarresteeCrime)The number and percent of arrests for Group B crimes for all arrests reported to NIBRS in 2022.
Crime Category First Year \# of Offenses \% of Offenses
All Other Offenses 1991 1,581,018 57.33\%
Driving Under The Influence 1991 630,034 22.85\%
Trespass of Real Property 1991 210,758 7.64\%
Disorderly Conduct 1991 199,858 7.25\%
Liquor Law Violations 1991 77,463 2.81\%
Family Offenses, Nonviolent 1991 34,581 1.25\%
Curfew/Loitering/Vagrancy Violations 1991 19,959 0.72\%
Bond Default - Failure To Appear 2021 2,132 0.08\%
Runaway 1991 1,769 0.06\%
Perjury 2022 6 0.00\%
Federal Resource Violations 2021 3 0.00\%
Total - 2,757,581 100\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:GroupBarresteeCrime)The number and percent of arrests for Group B crimes for all arrests reported to NIBRS in 2022.}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endfirsthead +\caption[]{(\#tab:GroupBarresteeCrime)The number and percent of arrests for Group B crimes for all arrests reported to NIBRS in 2022. \textit{(continued)}}\\ +\hline +Crime Category & First Year & \textbackslash{}\# of Offenses & \textbackslash{}\% of Offenses\\ +\hline +\endhead +All Other Offenses & 1991 & 1,581,018 & 57.33\textbackslash{}\%\\ +\hline +Driving Under The Influence & 1991 & 630,034 & 22.85\textbackslash{}\%\\ +\hline +Trespass of Real Property & 1991 & 210,758 & 7.64\textbackslash{}\%\\ +\hline +Disorderly Conduct & 1991 & 199,858 & 7.25\textbackslash{}\%\\ +\hline +Liquor Law Violations & 1991 & 77,463 & 2.81\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & 1991 & 34,581 & 1.25\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & 1991 & 19,959 & 0.72\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & 2021 & 2,132 & 0.08\textbackslash{}\%\\ +\hline +Runaway & 1991 & 1,769 & 0.06\textbackslash{}\%\\ +\hline +Perjury & 2022 & 6 & 0.00\textbackslash{}\%\\ +\hline +Federal Resource Violations & 2021 & 3 & 0.00\textbackslash{}\%\\ +\hline +Total & - & 2,757,581 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -22569,10 +10023,14 @@ Figure \@ref(fig:arrestsDaysUntilArrest) shows how long it takes for arrests to Figure \@ref(fig:arrestsDaysUntilArrestBarplot) groups the larger number of days together to make it easier to see trends early after the incident. Here we can see much better how the percent of arrests move quickly downwards after zero days. -
-The number of days from the incident to the arrest date. Values over 10 days are grouped to better see the distribution for arrests that took fewer than 10 days. Zero days means that the arrest occurred on the same day as the incident. -

(\#fig:arrestsDaysUntilArrestBarplot)The number of days from the incident to the arrest date. Values over 10 days are grouped to better see the distribution for arrests that took fewer than 10 days. Zero days means that the arrest occurred on the same day as the incident.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/arrestsDaysUntilArrestBarplot-1} + +} + +\caption{The number of days from the incident to the arrest date. Values over 10 days are grouped to better see the distribution for arrests that took fewer than 10 days. Zero days means that the arrest occurred on the same day as the incident.}(\#fig:arrestsDaysUntilArrestBarplot) +\end{figure} ## Weapons @@ -22583,3481 +10041,1181 @@ Figure \@ref(fig:arresteeWeapon) shows the breakdown in the weapon carried by th To see the weapons carried when the arrestee had a weapon, Figure \@ref(fig:arresteeWeaponArmed) shows the breakdown in which weapon they carried. About 43.8% of people arrested who had a weapon were carrying a handgun followed by 30% with some kind of "lethal cutting instrument" like a knife. While rifles, and especially "assault rifles", are what people (and especially politicians and the media) focus on when talking about violent crime, handguns are actually the most common gun to be used in a crime so it makes sense that handguns are the most frequently found weapon. "Firearm (type not stated)" basically means that the type of firearm used is unknown so can belong in one of the firearm categories and makes up 9% of weapons. Blunt instruments (including bats, clubs, and brass knuckles) follow at 6.9% of weapons. And the remaining weapons included are "other firearm" (so any other than ones specified) at 5.8%, rifle at 2.3%, and shotgun at 2%. -
-The share of murder and nonnegligent manslaughter arrestees by weapon carried at arrest, 1991-2023. -

(\#fig:nibrsArresteeMurderWeapon)The share of murder and nonnegligent manslaughter arrestees by weapon carried at arrest, 1991-2023.

-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:arresteeoffenseWeapon)The number and percent of arrestees by offense and weapon, using the first weapon reported, 2023.
Offense Type of Arrest \# of arrestees \% of arrestees
All Other Offenses Shotgun 76 0.10\%
All Other Offenses Unarmed 72,425 94.04\%
All Other Offenses Firearm 565 0.73\%
All Other Offenses Blunt Object 250 0.32\%
All Other Offenses Handgun 2,066 2.68\%
All Other Offenses Other Firearm 140 0.18\%
All Other Offenses Rifle 136 0.18\%
All Other Offenses Lethal Cutting Instrument 1,357 1.76\%
All Other Offenses Total 77,015 100\%
Animal Cruelty Blunt Object 8 0.20\%
Animal Cruelty Other Firearm 6 0.15\%
Animal Cruelty Rifle 6 0.15\%
Animal Cruelty Shotgun 4 0.10\%
Animal Cruelty Lethal Cutting Instrument 34 0.85\%
Animal Cruelty Unarmed 3,932 97.76\%
Animal Cruelty Handgun 22 0.55\%
Animal Cruelty Firearm 10 0.25\%
Animal Cruelty Total 4,022 100\%
Arson Unarmed 6,455 97.13\%
Arson Rifle 4 0.06\%
Arson Handgun 32 0.48\%
Arson Shotgun 3 0.05\%
Arson Blunt Object 19 0.29\%
Arson Lethal Cutting Instrument 113 1.70\%
Arson Firearm 10 0.15\%
Arson Other Firearm 10 0.15\%
Arson Total 6,646 100\%
Assault Offenses - Aggravated Assault Rifle 935 0.37\%
Assault Offenses - Aggravated Assault Blunt Object 9,759 3.84\%
Assault Offenses - Aggravated Assault Shotgun 749 0.29\%
Assault Offenses - Aggravated Assault Firearm 3,618 1.42\%
Assault Offenses - Aggravated Assault Lethal Cutting Instrument 27,473 10.81\%
Assault Offenses - Aggravated Assault Unarmed 194,701 76.60\%
Assault Offenses - Aggravated Assault Handgun 15,307 6.02\%
Assault Offenses - Aggravated Assault Other Firearm 1,641 0.65\%
Assault Offenses - Aggravated Assault Total 254,183 100\%
Assault Offenses - Intimidation Unarmed 96,990 92.23\%
Assault Offenses - Intimidation Blunt Object 684 0.65\%
Assault Offenses - Intimidation Firearm 615 0.58\%
Assault Offenses - Intimidation Other Firearm 573 0.54\%
Assault Offenses - Intimidation Lethal Cutting Instrument 3,747 3.56\%
Assault Offenses - Intimidation Handgun 2,237 2.13\%
Assault Offenses - Intimidation Rifle 174 0.17\%
Assault Offenses - Intimidation Shotgun 144 0.14\%
Assault Offenses - Intimidation Total 105,164 100\%
Assault Offenses - Simple Assault Unarmed 671,810 97.70\%
Assault Offenses - Simple Assault Lethal Cutting Instrument 5,501 0.80\%
Assault Offenses - Simple Assault Handgun 3,190 0.46\%
Assault Offenses - Simple Assault Other Firearm 3,033 0.44\%
Assault Offenses - Simple Assault Shotgun 278 0.04\%
Assault Offenses - Simple Assault Blunt Object 2,492 0.36\%
Assault Offenses - Simple Assault Rifle 193 0.03\%
Assault Offenses - Simple Assault Firearm 1,152 0.17\%
Assault Offenses - Simple Assault Total 687,649 100\%
Bond Default - Failure To Appear Unarmed 58 92.06\%
Bond Default - Failure To Appear Handgun 3 4.76\%
Bond Default - Failure To Appear Lethal Cutting Instrument 2 3.17\%
Bond Default - Failure To Appear Blunt Object 0 0\%
Bond Default - Failure To Appear Firearm 0 0\%
Bond Default - Failure To Appear Other Firearm 0 0\%
Bond Default - Failure To Appear Rifle 0 0\%
Bond Default - Failure To Appear Shotgun 0 0\%
Bond Default - Failure To Appear Total 63 100\%
Bribery Handgun 4 1.55\%
Bribery Lethal Cutting Instrument 3 1.16\%
Bribery Unarmed 247 95.74\%
Bribery Firearm 2 0.78\%
Bribery Other Firearm 2 0.78\%
Bribery Blunt Object 0 0\%
Bribery Rifle 0 0\%
Bribery Shotgun 0 0\%
Bribery Total 258 100\%
Burglary/Breaking And Entering Handgun 950 1.19\%
Burglary/Breaking And Entering Rifle 80 0.10\%
Burglary/Breaking And Entering Unarmed 76,398 95.50\%
Burglary/Breaking And Entering Shotgun 63 0.08\%
Burglary/Breaking And Entering Blunt Object 346 0.43\%
Burglary/Breaking And Entering Firearm 290 0.36\%
Burglary/Breaking And Entering Other Firearm 203 0.25\%
Burglary/Breaking And Entering Lethal Cutting Instrument 1,664 2.08\%
Burglary/Breaking And Entering Total 79,994 100\%
Commerce Violations - Federal Liquor Offenses Unarmed 21 100.00\%
Commerce Violations - Federal Liquor Offenses Blunt Object 0 0\%
Commerce Violations - Federal Liquor Offenses Firearm 0 0\%
Commerce Violations - Federal Liquor Offenses Handgun 0 0\%
Commerce Violations - Federal Liquor Offenses Lethal Cutting Instrument 0 0\%
Commerce Violations - Federal Liquor Offenses Other Firearm 0 0\%
Commerce Violations - Federal Liquor Offenses Rifle 0 0\%
Commerce Violations - Federal Liquor Offenses Shotgun 0 0\%
Commerce Violations - Federal Liquor Offenses Total 21 100\%
Commerce Violations - Wildlife Trafficking Rifle 1 100.00\%
Commerce Violations - Wildlife Trafficking Blunt Object 0 0\%
Commerce Violations - Wildlife Trafficking Firearm 0 0\%
Commerce Violations - Wildlife Trafficking Handgun 0 0\%
Commerce Violations - Wildlife Trafficking Lethal Cutting Instrument 0 0\%
Commerce Violations - Wildlife Trafficking Other Firearm 0 0\%
Commerce Violations - Wildlife Trafficking Shotgun 0 0\%
Commerce Violations - Wildlife Trafficking Unarmed 0 0\%
Commerce Violations - Wildlife Trafficking Total 1 100\%
Counterfeiting/Forgery Firearm 83 0.31\%
Counterfeiting/Forgery Shotgun 5 0.02\%
Counterfeiting/Forgery Handgun 333 1.26\%
Counterfeiting/Forgery Unarmed 25,869 97.73\%
Counterfeiting/Forgery Other Firearm 18 0.07\%
Counterfeiting/Forgery Blunt Object 17 0.06\%
Counterfeiting/Forgery Lethal Cutting Instrument 133 0.50\%
Counterfeiting/Forgery Rifle 12 0.05\%
Counterfeiting/Forgery Total 26,470 100\%
Curfew/Loitering/Vagrancy Violations Firearm 4 0.34\%
Curfew/Loitering/Vagrancy Violations Other Firearm 3 0.26\%
Curfew/Loitering/Vagrancy Violations Handgun 23 1.96\%
Curfew/Loitering/Vagrancy Violations Blunt Object 2 0.17\%
Curfew/Loitering/Vagrancy Violations Lethal Cutting Instrument 11 0.94\%
Curfew/Loitering/Vagrancy Violations Unarmed 1,131 96.34\%
Curfew/Loitering/Vagrancy Violations Rifle 0 0\%
Curfew/Loitering/Vagrancy Violations Shotgun 0 0\%
Curfew/Loitering/Vagrancy Violations Total 1,174 100\%
Destruction/Damage/Vandalism of Property Handgun 677 0.54\%
Destruction/Damage/Vandalism of Property Shotgun 67 0.05\%
Destruction/Damage/Vandalism of Property Rifle 66 0.05\%
Destruction/Damage/Vandalism of Property Other Firearm 275 0.22\%
Destruction/Damage/Vandalism of Property Firearm 226 0.18\%
Destruction/Damage/Vandalism of Property Unarmed 120,680 96.44\%
Destruction/Damage/Vandalism of Property Lethal Cutting Instrument 1,964 1.57\%
Destruction/Damage/Vandalism of Property Blunt Object 1,180 0.94\%
Destruction/Damage/Vandalism of Property Total 125,135 100\%
Disorderly Conduct Blunt Object 54 0.41\%
Disorderly Conduct Other Firearm 45 0.34\%
Disorderly Conduct Firearm 41 0.31\%
Disorderly Conduct Lethal Cutting Instrument 240 1.82\%
Disorderly Conduct Handgun 175 1.33\%
Disorderly Conduct Rifle 17 0.13\%
Disorderly Conduct Unarmed 12,582 95.56\%
Disorderly Conduct Shotgun 12 0.09\%
Disorderly Conduct Total 13,166 100\%
Driving Under The Influence Handgun 948 5.67\%
Driving Under The Influence Blunt Object 38 0.23\%
Driving Under The Influence Rifle 32 0.19\%
Driving Under The Influence Shotgun 19 0.11\%
Driving Under The Influence Other Firearm 18 0.11\%
Driving Under The Influence Firearm 163 0.98\%
Driving Under The Influence Lethal Cutting Instrument 161 0.96\%
Driving Under The Influence Unarmed 15,335 91.75\%
Driving Under The Influence Total 16,714 100\%
Drug/Narcotic Offenses - Drug Equipment Violations Firearm 465 0.32\%
Drug/Narcotic Offenses - Drug Equipment Violations Blunt Object 275 0.19\%
Drug/Narcotic Offenses - Drug Equipment Violations Lethal Cutting Instrument 2,667 1.84\%
Drug/Narcotic Offenses - Drug Equipment Violations Other Firearm 189 0.13\%
Drug/Narcotic Offenses - Drug Equipment Violations Unarmed 139,232 96.05\%
Drug/Narcotic Offenses - Drug Equipment Violations Shotgun 139 0.10\%
Drug/Narcotic Offenses - Drug Equipment Violations Rifle 114 0.08\%
Drug/Narcotic Offenses - Drug Equipment Violations Handgun 1,883 1.30\%
Drug/Narcotic Offenses - Drug Equipment Violations Total 144,964 100\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Other Firearm 872 0.14\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Lethal Cutting Instrument 8,854 1.40\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Shotgun 596 0.09\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Unarmed 590,136 93.62\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Firearm 4,181 0.66\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Handgun 23,570 3.74\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Blunt Object 1,074 0.17\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Rifle 1,056 0.17\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Total 630,339 100\%
Embezzlement Firearm 7 0.10\%
Embezzlement Unarmed 6,719 99.20\%
Embezzlement Other Firearm 3 0.04\%
Embezzlement Handgun 28 0.41\%
Embezzlement Shotgun 2 0.03\%
Embezzlement Lethal Cutting Instrument 13 0.19\%
Embezzlement Blunt Object 1 0.01\%
Embezzlement Rifle 0 0\%
Embezzlement Total 6,773 100\%
Extortion/Blackmail Handgun 7 1.62\%
Extortion/Blackmail Lethal Cutting Instrument 5 1.16\%
Extortion/Blackmail Unarmed 416 96.52\%
Extortion/Blackmail Firearm 2 0.46\%
Extortion/Blackmail Other Firearm 1 0.23\%
Extortion/Blackmail Blunt Object 0 0\%
Extortion/Blackmail Rifle 0 0\%
Extortion/Blackmail Shotgun 0 0\%
Extortion/Blackmail Total 431 100\%
Family Offenses, Nonviolent Lethal Cutting Instrument 73 1.82\%
Family Offenses, Nonviolent Handgun 63 1.57\%
Family Offenses, Nonviolent Other Firearm 5 0.12\%
Family Offenses, Nonviolent Shotgun 4 0.10\%
Family Offenses, Nonviolent Unarmed 3,821 95.17\%
Family Offenses, Nonviolent Rifle 3 0.07\%
Family Offenses, Nonviolent Firearm 25 0.62\%
Family Offenses, Nonviolent Blunt Object 21 0.52\%
Family Offenses, Nonviolent Total 4,015 100\%
Fraud Offenses - Credit Card/Atm Fraud Unarmed 6,942 98.65\%
Fraud Offenses - Credit Card/Atm Fraud Other Firearm 6 0.09\%
Fraud Offenses - Credit Card/Atm Fraud Blunt Object 5 0.07\%
Fraud Offenses - Credit Card/Atm Fraud Lethal Cutting Instrument 35 0.50\%
Fraud Offenses - Credit Card/Atm Fraud Handgun 30 0.43\%
Fraud Offenses - Credit Card/Atm Fraud Shotgun 3 0.04\%
Fraud Offenses - Credit Card/Atm Fraud Rifle 2 0.03\%
Fraud Offenses - Credit Card/Atm Fraud Firearm 14 0.20\%
Fraud Offenses - Credit Card/Atm Fraud Total 7,037 100\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Firearm 69 0.22\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Other Firearm 34 0.11\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Unarmed 31,469 98.11\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Handgun 290 0.90\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Blunt Object 29 0.09\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Shotgun 18 0.06\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Lethal Cutting Instrument 152 0.47\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Rifle 13 0.04\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Total 32,074 100\%
Fraud Offenses - Hacking/Computer Invasion Unarmed 155 97.48\%
Fraud Offenses - Hacking/Computer Invasion Handgun 1 0.63\%
Fraud Offenses - Hacking/Computer Invasion Lethal Cutting Instrument 1 0.63\%
Fraud Offenses - Hacking/Computer Invasion Other Firearm 1 0.63\%
Fraud Offenses - Hacking/Computer Invasion Shotgun 1 0.63\%
Fraud Offenses - Hacking/Computer Invasion Blunt Object 0 0\%
Fraud Offenses - Hacking/Computer Invasion Firearm 0 0\%
Fraud Offenses - Hacking/Computer Invasion Rifle 0 0\%
Fraud Offenses - Hacking/Computer Invasion Total 159 100\%
Fraud Offenses - Identity Theft Unarmed 6,781 96.28\%
Fraud Offenses - Identity Theft Rifle 3 0.04\%
Fraud Offenses - Identity Theft Shotgun 3 0.04\%
Fraud Offenses - Identity Theft Firearm 17 0.24\%
Fraud Offenses - Identity Theft Blunt Object 11 0.16\%
Fraud Offenses - Identity Theft Handgun 109 1.55\%
Fraud Offenses - Identity Theft Lethal Cutting Instrument 109 1.55\%
Fraud Offenses - Identity Theft Other Firearm 10 0.14\%
Fraud Offenses - Identity Theft Total 7,043 100\%
Fraud Offenses - Impersonation Rifle 6 0.05\%
Fraud Offenses - Impersonation Shotgun 5 0.05\%
Fraud Offenses - Impersonation Firearm 21 0.19\%
Fraud Offenses - Impersonation Blunt Object 20 0.18\%
Fraud Offenses - Impersonation Handgun 162 1.48\%
Fraud Offenses - Impersonation Other Firearm 15 0.14\%
Fraud Offenses - Impersonation Lethal Cutting Instrument 137 1.25\%
Fraud Offenses - Impersonation Unarmed 10,612 96.67\%
Fraud Offenses - Impersonation Total 10,978 100\%
Fraud Offenses - Welfare Fraud Unarmed 117 99.15\%
Fraud Offenses - Welfare Fraud Rifle 1 0.85\%
Fraud Offenses - Welfare Fraud Blunt Object 0 0\%
Fraud Offenses - Welfare Fraud Firearm 0 0\%
Fraud Offenses - Welfare Fraud Handgun 0 0\%
Fraud Offenses - Welfare Fraud Lethal Cutting Instrument 0 0\%
Fraud Offenses - Welfare Fraud Other Firearm 0 0\%
Fraud Offenses - Welfare Fraud Shotgun 0 0\%
Fraud Offenses - Welfare Fraud Total 118 100\%
Fraud Offenses - Wire Fraud Unarmed 341 99.71\%
Fraud Offenses - Wire Fraud Handgun 1 0.29\%
Fraud Offenses - Wire Fraud Blunt Object 0 0\%
Fraud Offenses - Wire Fraud Firearm 0 0\%
Fraud Offenses - Wire Fraud Lethal Cutting Instrument 0 0\%
Fraud Offenses - Wire Fraud Other Firearm 0 0\%
Fraud Offenses - Wire Fraud Rifle 0 0\%
Fraud Offenses - Wire Fraud Shotgun 0 0\%
Fraud Offenses - Wire Fraud Total 342 100\%
Fugitive Offenses - Flight To Avoid Prosecution Unarmed 50 98.04\%
Fugitive Offenses - Flight To Avoid Prosecution Rifle 1 1.96\%
Fugitive Offenses - Flight To Avoid Prosecution Blunt Object 0 0\%
Fugitive Offenses - Flight To Avoid Prosecution Firearm 0 0\%
Fugitive Offenses - Flight To Avoid Prosecution Handgun 0 0\%
Fugitive Offenses - Flight To Avoid Prosecution Lethal Cutting Instrument 0 0\%
Fugitive Offenses - Flight To Avoid Prosecution Other Firearm 0 0\%
Fugitive Offenses - Flight To Avoid Prosecution Shotgun 0 0\%
Fugitive Offenses - Flight To Avoid Prosecution Total 51 100\%
Gambling Offenses - Betting/Wagering Handgun 5 1.67\%
Gambling Offenses - Betting/Wagering Unarmed 293 97.99\%
Gambling Offenses - Betting/Wagering Rifle 1 0.33\%
Gambling Offenses - Betting/Wagering Blunt Object 0 0\%
Gambling Offenses - Betting/Wagering Firearm 0 0\%
Gambling Offenses - Betting/Wagering Lethal Cutting Instrument 0 0\%
Gambling Offenses - Betting/Wagering Other Firearm 0 0\%
Gambling Offenses - Betting/Wagering Shotgun 0 0\%
Gambling Offenses - Betting/Wagering Total 299 100\%
Gambling Offenses - Gambling Equipment Violations Unarmed 202 100.00\%
Gambling Offenses - Gambling Equipment Violations Blunt Object 0 0\%
Gambling Offenses - Gambling Equipment Violations Firearm 0 0\%
Gambling Offenses - Gambling Equipment Violations Handgun 0 0\%
Gambling Offenses - Gambling Equipment Violations Lethal Cutting Instrument 0 0\%
Gambling Offenses - Gambling Equipment Violations Other Firearm 0 0\%
Gambling Offenses - Gambling Equipment Violations Rifle 0 0\%
Gambling Offenses - Gambling Equipment Violations Shotgun 0 0\%
Gambling Offenses - Gambling Equipment Violations Total 202 100\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Unarmed 474 99.37\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Firearm 1 0.21\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Handgun 1 0.21\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Rifle 1 0.21\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Blunt Object 0 0\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Lethal Cutting Instrument 0 0\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Other Firearm 0 0\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Shotgun 0 0\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Total 477 100\%
Human Trafficking - Commercial Sex Acts Unarmed 415 98.34\%
Human Trafficking - Commercial Sex Acts Handgun 3 0.71\%
Human Trafficking - Commercial Sex Acts Shotgun 2 0.47\%
Human Trafficking - Commercial Sex Acts Firearm 1 0.24\%
Human Trafficking - Commercial Sex Acts Lethal Cutting Instrument 1 0.24\%
Human Trafficking - Commercial Sex Acts Blunt Object 0 0\%
Human Trafficking - Commercial Sex Acts Other Firearm 0 0\%
Human Trafficking - Commercial Sex Acts Rifle 0 0\%
Human Trafficking - Commercial Sex Acts Total 422 100\%
Human Trafficking - Involuntary Servitude Unarmed 58 100.00\%
Human Trafficking - Involuntary Servitude Blunt Object 0 0\%
Human Trafficking - Involuntary Servitude Firearm 0 0\%
Human Trafficking - Involuntary Servitude Handgun 0 0\%
Human Trafficking - Involuntary Servitude Lethal Cutting Instrument 0 0\%
Human Trafficking - Involuntary Servitude Other Firearm 0 0\%
Human Trafficking - Involuntary Servitude Rifle 0 0\%
Human Trafficking - Involuntary Servitude Shotgun 0 0\%
Human Trafficking - Involuntary Servitude Total 58 100\%
Kidnapping/Abduction Blunt Object 57 0.40\%
Kidnapping/Abduction Handgun 485 3.43\%
Kidnapping/Abduction Lethal Cutting Instrument 407 2.88\%
Kidnapping/Abduction Rifle 28 0.20\%
Kidnapping/Abduction Shotgun 18 0.13\%
Kidnapping/Abduction Unarmed 12,952 91.52\%
Kidnapping/Abduction Firearm 105 0.74\%
Kidnapping/Abduction Other Firearm 100 0.71\%
Kidnapping/Abduction Total 14,152 100\%
Larceny/Theft Offenses - All Other Larceny Other Firearm 87 0.07\%
Larceny/Theft Offenses - All Other Larceny Shotgun 49 0.04\%
Larceny/Theft Offenses - All Other Larceny Rifle 48 0.04\%
Larceny/Theft Offenses - All Other Larceny Firearm 441 0.34\%
Larceny/Theft Offenses - All Other Larceny Unarmed 126,210 97.43\%
Larceny/Theft Offenses - All Other Larceny Blunt Object 104 0.08\%
Larceny/Theft Offenses - All Other Larceny Handgun 1,515 1.17\%
Larceny/Theft Offenses - All Other Larceny Lethal Cutting Instrument 1,088 0.84\%
Larceny/Theft Offenses - All Other Larceny Total 129,542 100\%
Larceny/Theft Offenses - Pocket-Picking Other Firearm 5 0.12\%
Larceny/Theft Offenses - Pocket-Picking Lethal Cutting Instrument 44 1.04\%
Larceny/Theft Offenses - Pocket-Picking Unarmed 4,162 98.00\%
Larceny/Theft Offenses - Pocket-Picking Blunt Object 4 0.09\%
Larceny/Theft Offenses - Pocket-Picking Firearm 3 0.07\%
Larceny/Theft Offenses - Pocket-Picking Handgun 27 0.64\%
Larceny/Theft Offenses - Pocket-Picking Rifle 1 0.02\%
Larceny/Theft Offenses - Pocket-Picking Shotgun 1 0.02\%
Larceny/Theft Offenses - Pocket-Picking Total 4,247 100\%
Larceny/Theft Offenses - Purse-Snatching Firearm 5 0.40\%
Larceny/Theft Offenses - Purse-Snatching Handgun 4 0.32\%
Larceny/Theft Offenses - Purse-Snatching Blunt Object 2 0.16\%
Larceny/Theft Offenses - Purse-Snatching Lethal Cutting Instrument 12 0.97\%
Larceny/Theft Offenses - Purse-Snatching Unarmed 1,219 98.07\%
Larceny/Theft Offenses - Purse-Snatching Other Firearm 1 0.08\%
Larceny/Theft Offenses - Purse-Snatching Rifle 0 0\%
Larceny/Theft Offenses - Purse-Snatching Shotgun 0 0\%
Larceny/Theft Offenses - Purse-Snatching Total 1,243 100\%
Larceny/Theft Offenses - Shoplifting Rifle 8 0.00\%
Larceny/Theft Offenses - Shoplifting Shotgun 78 0.03\%
Larceny/Theft Offenses - Shoplifting Handgun 745 0.24\%
Larceny/Theft Offenses - Shoplifting Unarmed 304,798 98.69\%
Larceny/Theft Offenses - Shoplifting Firearm 226 0.07\%
Larceny/Theft Offenses - Shoplifting Lethal Cutting Instrument 2,697 0.87\%
Larceny/Theft Offenses - Shoplifting Blunt Object 187 0.06\%
Larceny/Theft Offenses - Shoplifting Other Firearm 117 0.04\%
Larceny/Theft Offenses - Shoplifting Total 308,856 100\%
Larceny/Theft Offenses - Theft From Building Blunt Object 9 0.05\%
Larceny/Theft Offenses - Theft From Building Rifle 8 0.04\%
Larceny/Theft Offenses - Theft From Building Firearm 22 0.11\%
Larceny/Theft Offenses - Theft From Building Unarmed 19,062 98.50\%
Larceny/Theft Offenses - Theft From Building Other Firearm 15 0.08\%
Larceny/Theft Offenses - Theft From Building Lethal Cutting Instrument 120 0.62\%
Larceny/Theft Offenses - Theft From Building Handgun 107 0.55\%
Larceny/Theft Offenses - Theft From Building Shotgun 10 0.05\%
Larceny/Theft Offenses - Theft From Building Total 19,353 100\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Lethal Cutting Instrument 7 1.19\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Unarmed 576 97.96\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Handgun 3 0.51\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Blunt Object 2 0.34\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Firearm 0 0\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Other Firearm 0 0\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Rifle 0 0\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Shotgun 0 0\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Total 588 100\%
Larceny/Theft Offenses - Theft From Motor Vehicle Shotgun 7 0.03\%
Larceny/Theft Offenses - Theft From Motor Vehicle Handgun 589 2.74\%
Larceny/Theft Offenses - Theft From Motor Vehicle Blunt Object 32 0.15\%
Larceny/Theft Offenses - Theft From Motor Vehicle Lethal Cutting Instrument 302 1.41\%
Larceny/Theft Offenses - Theft From Motor Vehicle Other Firearm 29 0.14\%
Larceny/Theft Offenses - Theft From Motor Vehicle Rifle 22 0.10\%
Larceny/Theft Offenses - Theft From Motor Vehicle Unarmed 20,332 94.73\%
Larceny/Theft Offenses - Theft From Motor Vehicle Firearm 151 0.70\%
Larceny/Theft Offenses - Theft From Motor Vehicle Total 21,464 100\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Blunt Object 6 0.18\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Other Firearm 6 0.18\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Handgun 46 1.34\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Lethal Cutting Instrument 36 1.05\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Unarmed 3,309 96.64\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Firearm 20 0.58\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Rifle 1 0.03\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Shotgun 0 0\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Total 3,424 100\%
Liquor Law Violations Other Firearm 6 0.17\%
Liquor Law Violations Rifle 6 0.17\%
Liquor Law Violations Unarmed 3,336 94.61\%
Liquor Law Violations Lethal Cutting Instrument 23 0.65\%
Liquor Law Violations Shotgun 2 0.06\%
Liquor Law Violations Firearm 19 0.54\%
Liquor Law Violations Handgun 124 3.52\%
Liquor Law Violations Blunt Object 10 0.28\%
Liquor Law Violations Total 3,526 100\%
Motor Vehicle Theft Other Firearm 79 0.15\%
Motor Vehicle Theft Blunt Object 78 0.14\%
Motor Vehicle Theft Lethal Cutting Instrument 656 1.22\%
Motor Vehicle Theft Rifle 52 0.10\%
Motor Vehicle Theft Unarmed 51,599 95.61\%
Motor Vehicle Theft Shotgun 33 0.06\%
Motor Vehicle Theft Firearm 282 0.52\%
Motor Vehicle Theft Handgun 1,191 2.21\%
Motor Vehicle Theft Total 53,970 100\%
Murder/Nonnegligent Manslaughter Rifle 80 1.10\%
Murder/Nonnegligent Manslaughter Unarmed 5,024 69.18\%
Murder/Nonnegligent Manslaughter Lethal Cutting Instrument 430 5.92\%
Murder/Nonnegligent Manslaughter Shotgun 43 0.59\%
Murder/Nonnegligent Manslaughter Firearm 368 5.07\%
Murder/Nonnegligent Manslaughter Blunt Object 36 0.50\%
Murder/Nonnegligent Manslaughter Other Firearm 36 0.50\%
Murder/Nonnegligent Manslaughter Handgun 1,245 17.14\%
Murder/Nonnegligent Manslaughter Total 7,262 100\%
Negligent Manslaughter Unarmed 850 89.19\%
Negligent Manslaughter Handgun 64 6.72\%
Negligent Manslaughter Rifle 4 0.42\%
Negligent Manslaughter Blunt Object 2 0.21\%
Negligent Manslaughter Firearm 19 1.99\%
Negligent Manslaughter Lethal Cutting Instrument 12 1.26\%
Negligent Manslaughter Other Firearm 1 0.10\%
Negligent Manslaughter Shotgun 1 0.10\%
Negligent Manslaughter Total 953 100\%
Pornography/Obscene Material Unarmed 5,719 99.31\%
Pornography/Obscene Material Firearm 5 0.09\%
Pornography/Obscene Material Handgun 21 0.36\%
Pornography/Obscene Material Lethal Cutting Instrument 11 0.19\%
Pornography/Obscene Material Blunt Object 1 0.02\%
Pornography/Obscene Material Other Firearm 1 0.02\%
Pornography/Obscene Material Rifle 1 0.02\%
Pornography/Obscene Material Shotgun 0 0\%
Pornography/Obscene Material Total 5,759 100\%
Prostitution Offenses - Assisting Or Promoting Prostitution Lethal Cutting Instrument 5 0.27\%
Prostitution Offenses - Assisting Or Promoting Prostitution Other Firearm 20 1.08\%
Prostitution Offenses - Assisting Or Promoting Prostitution Blunt Object 2 0.11\%
Prostitution Offenses - Assisting Or Promoting Prostitution Firearm 2 0.11\%
Prostitution Offenses - Assisting Or Promoting Prostitution Handgun 16 0.87\%
Prostitution Offenses - Assisting Or Promoting Prostitution Unarmed 1,802 97.56\%
Prostitution Offenses - Assisting Or Promoting Prostitution Rifle 0 0\%
Prostitution Offenses - Assisting Or Promoting Prostitution Shotgun 0 0\%
Prostitution Offenses - Assisting Or Promoting Prostitution Total 1,847 100\%
Prostitution Offenses - Prostitution Firearm 97 1.33\%
Prostitution Offenses - Prostitution Unarmed 7,127 97.95\%
Prostitution Offenses - Prostitution Other Firearm 4 0.05\%
Prostitution Offenses - Prostitution Blunt Object 3 0.04\%
Prostitution Offenses - Prostitution Handgun 29 0.40\%
Prostitution Offenses - Prostitution Lethal Cutting Instrument 15 0.21\%
Prostitution Offenses - Prostitution Rifle 1 0.01\%
Prostitution Offenses - Prostitution Shotgun 0 0\%
Prostitution Offenses - Prostitution Total 7,276 100\%
Prostitution Offenses - Purchasing Prostitution Firearm 5 0.31\%
Prostitution Offenses - Purchasing Prostitution Handgun 16 1.00\%
Prostitution Offenses - Purchasing Prostitution Unarmed 1,578 98.56\%
Prostitution Offenses - Purchasing Prostitution Blunt Object 1 0.06\%
Prostitution Offenses - Purchasing Prostitution Lethal Cutting Instrument 1 0.06\%
Prostitution Offenses - Purchasing Prostitution Other Firearm 0 0\%
Prostitution Offenses - Purchasing Prostitution Rifle 0 0\%
Prostitution Offenses - Purchasing Prostitution Shotgun 0 0\%
Prostitution Offenses - Purchasing Prostitution Total 1,601 100\%
Robbery Firearm 973 2.23\%
Robbery Blunt Object 683 1.56\%
Robbery Shotgun 57 0.13\%
Robbery Other Firearm 567 1.30\%
Robbery Unarmed 34,050 77.92\%
Robbery Handgun 3,941 9.02\%
Robbery Lethal Cutting Instrument 3,314 7.58\%
Robbery Rifle 116 0.27\%
Robbery Total 43,701 100\%
Runaway Unarmed 38 100.00\%
Runaway Blunt Object 0 0\%
Runaway Firearm 0 0\%
Runaway Handgun 0 0\%
Runaway Lethal Cutting Instrument 0 0\%
Runaway Other Firearm 0 0\%
Runaway Rifle 0 0\%
Runaway Shotgun 0 0\%
Runaway Total 38 100\%
Sex Offenses - Failure To Register As A Sex Offender Unarmed 21 100.00\%
Sex Offenses - Failure To Register As A Sex Offender Blunt Object 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Firearm 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Handgun 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Lethal Cutting Instrument 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Other Firearm 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Rifle 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Shotgun 0 0\%
Sex Offenses - Failure To Register As A Sex Offender Total 21 100\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Lethal Cutting Instrument 42 0.36\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Blunt Object 4 0.03\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Shotgun 4 0.03\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Handgun 18 0.15\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Firearm 14 0.12\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Other Firearm 13 0.11\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Unarmed 11,570 99.19\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Rifle 0 0\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Total 11,665 100\%
Sex Offenses - Incest Unarmed 215 97.29\%
Sex Offenses - Incest Blunt Object 2 0.90\%
Sex Offenses - Incest Lethal Cutting Instrument 2 0.90\%
Sex Offenses - Incest Handgun 1 0.45\%
Sex Offenses - Incest Other Firearm 1 0.45\%
Sex Offenses - Incest Firearm 0 0\%
Sex Offenses - Incest Rifle 0 0\%
Sex Offenses - Incest Shotgun 0 0\%
Sex Offenses - Incest Total 221 100\%
Sex Offenses - Rape Lethal Cutting Instrument 95 1.03\%
Sex Offenses - Rape Handgun 80 0.87\%
Sex Offenses - Rape Unarmed 8,953 97.43\%
Sex Offenses - Rape Rifle 4 0.04\%
Sex Offenses - Rape Other Firearm 23 0.25\%
Sex Offenses - Rape Firearm 22 0.24\%
Sex Offenses - Rape Shotgun 2 0.02\%
Sex Offenses - Rape Blunt Object 10 0.11\%
Sex Offenses - Rape Total 9,189 100\%
Sex Offenses - Sexual Assault With An Object Unarmed 837 98.01\%
Sex Offenses - Sexual Assault With An Object Lethal Cutting Instrument 6 0.70\%
Sex Offenses - Sexual Assault With An Object Handgun 5 0.59\%
Sex Offenses - Sexual Assault With An Object Blunt Object 4 0.47\%
Sex Offenses - Sexual Assault With An Object Firearm 1 0.12\%
Sex Offenses - Sexual Assault With An Object Shotgun 1 0.12\%
Sex Offenses - Sexual Assault With An Object Other Firearm 0 0\%
Sex Offenses - Sexual Assault With An Object Rifle 0 0\%
Sex Offenses - Sexual Assault With An Object Total 854 100\%
Sex Offenses - Sodomy Firearm 7 0.30\%
Sex Offenses - Sodomy Blunt Object 3 0.13\%
Sex Offenses - Sodomy Rifle 3 0.13\%
Sex Offenses - Sodomy Unarmed 2,275 98.23\%
Sex Offenses - Sodomy Other Firearm 2 0.09\%
Sex Offenses - Sodomy Shotgun 2 0.09\%
Sex Offenses - Sodomy Lethal Cutting Instrument 14 0.60\%
Sex Offenses - Sodomy Handgun 10 0.43\%
Sex Offenses - Sodomy Total 2,316 100\%
Sex Offenses - Statutory Rape Handgun 7 0.46\%
Sex Offenses - Statutory Rape Lethal Cutting Instrument 5 0.33\%
Sex Offenses - Statutory Rape Unarmed 1,518 99.15\%
Sex Offenses - Statutory Rape Shotgun 1 0.07\%
Sex Offenses - Statutory Rape Blunt Object 0 0\%
Sex Offenses - Statutory Rape Firearm 0 0\%
Sex Offenses - Statutory Rape Other Firearm 0 0\%
Sex Offenses - Statutory Rape Rifle 0 0\%
Sex Offenses - Statutory Rape Total 1,531 100\%
Stolen Property Offenses (Receiving, Selling, Etc.) Shotgun 82 0.14\%
Stolen Property Offenses (Receiving, Selling, Etc.) Lethal Cutting Instrument 718 1.25\%
Stolen Property Offenses (Receiving, Selling, Etc.) Firearm 646 1.12\%
Stolen Property Offenses (Receiving, Selling, Etc.) Unarmed 50,817 88.30\%
Stolen Property Offenses (Receiving, Selling, Etc.) Handgun 4,749 8.25\%
Stolen Property Offenses (Receiving, Selling, Etc.) Other Firearm 261 0.45\%
Stolen Property Offenses (Receiving, Selling, Etc.) Rifle 163 0.28\%
Stolen Property Offenses (Receiving, Selling, Etc.) Blunt Object 114 0.20\%
Stolen Property Offenses (Receiving, Selling, Etc.) Total 57,550 100\%
Trespass of Real Property Handgun 89 0.78\%
Trespass of Real Property Rifle 5 0.04\%
Trespass of Real Property Firearm 32 0.28\%
Trespass of Real Property Blunt Object 23 0.20\%
Trespass of Real Property Lethal Cutting Instrument 220 1.92\%
Trespass of Real Property Other Firearm 19 0.17\%
Trespass of Real Property Unarmed 11,075 96.61\%
Trespass of Real Property Shotgun 1 0.01\%
Trespass of Real Property Total 11,464 100\%
Weapon Law Violations - Explosives Unarmed 1 100.00\%
Weapon Law Violations - Explosives Blunt Object 0 0\%
Weapon Law Violations - Explosives Firearm 0 0\%
Weapon Law Violations - Explosives Handgun 0 0\%
Weapon Law Violations - Explosives Lethal Cutting Instrument 0 0\%
Weapon Law Violations - Explosives Other Firearm 0 0\%
Weapon Law Violations - Explosives Rifle 0 0\%
Weapon Law Violations - Explosives Shotgun 0 0\%
Weapon Law Violations - Explosives Total 1 100\%
Weapon Law Violations - Weapon Law Violations Lethal Cutting Instrument 9,950 7.67\%
Weapon Law Violations - Weapon Law Violations Firearm 8,734 6.73\%
Weapon Law Violations - Weapon Law Violations Handgun 53,736 41.43\%
Weapon Law Violations - Weapon Law Violations Unarmed 49,346 38.05\%
Weapon Law Violations - Weapon Law Violations Blunt Object 2,873 2.22\%
Weapon Law Violations - Weapon Law Violations Rifle 2,102 1.62\%
Weapon Law Violations - Weapon Law Violations Other Firearm 1,775 1.37\%
Weapon Law Violations - Weapon Law Violations Shotgun 1,188 0.92\%
Weapon Law Violations - Weapon Law Violations Total 129,704 100\%
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeMurderWeapon-1} + +} + +\caption{The share of murder and nonnegligent manslaughter arrestees by weapon carried at arrest, 1991-2023.}(\#fig:nibrsArresteeMurderWeapon) +\end{figure} + + + +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:arresteeoffenseWeapon)The number and percent of arrestees by offense and weapon, using the first weapon reported, 2023.}\\ +\hline +Offense & Type of Arrest & \textbackslash{}\# of arrestees & \textbackslash{}\% of arrestees\\ +\hline +\endfirsthead +\caption[]{(\#tab:arresteeoffenseWeapon)The number and percent of arrestees by offense and weapon, using the first weapon reported, 2023. \textit{(continued)}}\\ +\hline +Offense & Type of Arrest & \textbackslash{}\# of arrestees & \textbackslash{}\% of arrestees\\ +\hline +\endhead +All Other Offenses & Shotgun & 76 & 0.10\textbackslash{}\%\\ +\hline +All Other Offenses & Unarmed & 72,425 & 94.04\textbackslash{}\%\\ +\hline +All Other Offenses & Firearm & 565 & 0.73\textbackslash{}\%\\ +\hline +All Other Offenses & Blunt Object & 250 & 0.32\textbackslash{}\%\\ +\hline +All Other Offenses & Handgun & 2,066 & 2.68\textbackslash{}\%\\ +\hline +All Other Offenses & Other Firearm & 140 & 0.18\textbackslash{}\%\\ +\hline +All Other Offenses & Rifle & 136 & 0.18\textbackslash{}\%\\ +\hline +All Other Offenses & Lethal Cutting Instrument & 1,357 & 1.76\textbackslash{}\%\\ +\hline +All Other Offenses & Total & 77,015 & 100\textbackslash{}\%\\ +\hline +Animal Cruelty & Blunt Object & 8 & 0.20\textbackslash{}\%\\ +\hline +Animal Cruelty & Other Firearm & 6 & 0.15\textbackslash{}\%\\ +\hline +Animal Cruelty & Rifle & 6 & 0.15\textbackslash{}\%\\ +\hline +Animal Cruelty & Shotgun & 4 & 0.10\textbackslash{}\%\\ +\hline +Animal Cruelty & Lethal Cutting Instrument & 34 & 0.85\textbackslash{}\%\\ +\hline +Animal Cruelty & Unarmed & 3,932 & 97.76\textbackslash{}\%\\ +\hline +Animal Cruelty & Handgun & 22 & 0.55\textbackslash{}\%\\ +\hline +Animal Cruelty & Firearm & 10 & 0.25\textbackslash{}\%\\ +\hline +Animal Cruelty & Total & 4,022 & 100\textbackslash{}\%\\ +\hline +Arson & Unarmed & 6,455 & 97.13\textbackslash{}\%\\ +\hline +Arson & Rifle & 4 & 0.06\textbackslash{}\%\\ +\hline +Arson & Handgun & 32 & 0.48\textbackslash{}\%\\ +\hline +Arson & Shotgun & 3 & 0.05\textbackslash{}\%\\ +\hline +Arson & Blunt Object & 19 & 0.29\textbackslash{}\%\\ +\hline +Arson & Lethal Cutting Instrument & 113 & 1.70\textbackslash{}\%\\ +\hline +Arson & Firearm & 10 & 0.15\textbackslash{}\%\\ +\hline +Arson & Other Firearm & 10 & 0.15\textbackslash{}\%\\ +\hline +Arson & Total & 6,646 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Rifle & 935 & 0.37\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Blunt Object & 9,759 & 3.84\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Shotgun & 749 & 0.29\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Firearm & 3,618 & 1.42\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Lethal Cutting Instrument & 27,473 & 10.81\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Unarmed & 194,701 & 76.60\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Handgun & 15,307 & 6.02\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Other Firearm & 1,641 & 0.65\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Total & 254,183 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Unarmed & 96,990 & 92.23\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Blunt Object & 684 & 0.65\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Firearm & 615 & 0.58\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Other Firearm & 573 & 0.54\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Lethal Cutting Instrument & 3,747 & 3.56\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Handgun & 2,237 & 2.13\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Rifle & 174 & 0.17\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Shotgun & 144 & 0.14\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Total & 105,164 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Unarmed & 671,810 & 97.70\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Lethal Cutting Instrument & 5,501 & 0.80\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Handgun & 3,190 & 0.46\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Other Firearm & 3,033 & 0.44\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Shotgun & 278 & 0.04\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Blunt Object & 2,492 & 0.36\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Rifle & 193 & 0.03\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Firearm & 1,152 & 0.17\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Total & 687,649 & 100\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Unarmed & 58 & 92.06\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Handgun & 3 & 4.76\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Lethal Cutting Instrument & 2 & 3.17\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Total & 63 & 100\textbackslash{}\%\\ +\hline +Bribery & Handgun & 4 & 1.55\textbackslash{}\%\\ +\hline +Bribery & Lethal Cutting Instrument & 3 & 1.16\textbackslash{}\%\\ +\hline +Bribery & Unarmed & 247 & 95.74\textbackslash{}\%\\ +\hline +Bribery & Firearm & 2 & 0.78\textbackslash{}\%\\ +\hline +Bribery & Other Firearm & 2 & 0.78\textbackslash{}\%\\ +\hline +Bribery & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Bribery & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Bribery & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Bribery & Total & 258 & 100\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Handgun & 950 & 1.19\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Rifle & 80 & 0.10\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Unarmed & 76,398 & 95.50\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Shotgun & 63 & 0.08\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Blunt Object & 346 & 0.43\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Firearm & 290 & 0.36\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Other Firearm & 203 & 0.25\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Lethal Cutting Instrument & 1,664 & 2.08\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Total & 79,994 & 100\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Unarmed & 21 & 100.00\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Total & 21 & 100\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Rifle & 1 & 100.00\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Unarmed & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Total & 1 & 100\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Firearm & 83 & 0.31\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Shotgun & 5 & 0.02\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Handgun & 333 & 1.26\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Unarmed & 25,869 & 97.73\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Other Firearm & 18 & 0.07\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Blunt Object & 17 & 0.06\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Lethal Cutting Instrument & 133 & 0.50\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Rifle & 12 & 0.05\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Total & 26,470 & 100\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Firearm & 4 & 0.34\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Other Firearm & 3 & 0.26\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Handgun & 23 & 1.96\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Blunt Object & 2 & 0.17\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Lethal Cutting Instrument & 11 & 0.94\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Unarmed & 1,131 & 96.34\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Total & 1,174 & 100\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Handgun & 677 & 0.54\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Shotgun & 67 & 0.05\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Rifle & 66 & 0.05\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Other Firearm & 275 & 0.22\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Firearm & 226 & 0.18\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Unarmed & 120,680 & 96.44\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Lethal Cutting Instrument & 1,964 & 1.57\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Blunt Object & 1,180 & 0.94\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Total & 125,135 & 100\textbackslash{}\%\\ +\hline +Disorderly Conduct & Blunt Object & 54 & 0.41\textbackslash{}\%\\ +\hline +Disorderly Conduct & Other Firearm & 45 & 0.34\textbackslash{}\%\\ +\hline +Disorderly Conduct & Firearm & 41 & 0.31\textbackslash{}\%\\ +\hline +Disorderly Conduct & Lethal Cutting Instrument & 240 & 1.82\textbackslash{}\%\\ +\hline +Disorderly Conduct & Handgun & 175 & 1.33\textbackslash{}\%\\ +\hline +Disorderly Conduct & Rifle & 17 & 0.13\textbackslash{}\%\\ +\hline +Disorderly Conduct & Unarmed & 12,582 & 95.56\textbackslash{}\%\\ +\hline +Disorderly Conduct & Shotgun & 12 & 0.09\textbackslash{}\%\\ +\hline +Disorderly Conduct & Total & 13,166 & 100\textbackslash{}\%\\ +\hline +Driving Under The Influence & Handgun & 948 & 5.67\textbackslash{}\%\\ +\hline +Driving Under The Influence & Blunt Object & 38 & 0.23\textbackslash{}\%\\ +\hline +Driving Under The Influence & Rifle & 32 & 0.19\textbackslash{}\%\\ +\hline +Driving Under The Influence & Shotgun & 19 & 0.11\textbackslash{}\%\\ +\hline +Driving Under The Influence & Other Firearm & 18 & 0.11\textbackslash{}\%\\ +\hline +Driving Under The Influence & Firearm & 163 & 0.98\textbackslash{}\%\\ +\hline +Driving Under The Influence & Lethal Cutting Instrument & 161 & 0.96\textbackslash{}\%\\ +\hline +Driving Under The Influence & Unarmed & 15,335 & 91.75\textbackslash{}\%\\ +\hline +Driving Under The Influence & Total & 16,714 & 100\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Firearm & 465 & 0.32\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Blunt Object & 275 & 0.19\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Lethal Cutting Instrument & 2,667 & 1.84\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Other Firearm & 189 & 0.13\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Unarmed & 139,232 & 96.05\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Shotgun & 139 & 0.10\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Rifle & 114 & 0.08\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Handgun & 1,883 & 1.30\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Total & 144,964 & 100\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Other Firearm & 872 & 0.14\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Lethal Cutting Instrument & 8,854 & 1.40\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Shotgun & 596 & 0.09\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Unarmed & 590,136 & 93.62\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Firearm & 4,181 & 0.66\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Handgun & 23,570 & 3.74\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Blunt Object & 1,074 & 0.17\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Rifle & 1,056 & 0.17\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Total & 630,339 & 100\textbackslash{}\%\\ +\hline +Embezzlement & Firearm & 7 & 0.10\textbackslash{}\%\\ +\hline +Embezzlement & Unarmed & 6,719 & 99.20\textbackslash{}\%\\ +\hline +Embezzlement & Other Firearm & 3 & 0.04\textbackslash{}\%\\ +\hline +Embezzlement & Handgun & 28 & 0.41\textbackslash{}\%\\ +\hline +Embezzlement & Shotgun & 2 & 0.03\textbackslash{}\%\\ +\hline +Embezzlement & Lethal Cutting Instrument & 13 & 0.19\textbackslash{}\%\\ +\hline +Embezzlement & Blunt Object & 1 & 0.01\textbackslash{}\%\\ +\hline +Embezzlement & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Embezzlement & Total & 6,773 & 100\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Handgun & 7 & 1.62\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Lethal Cutting Instrument & 5 & 1.16\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Unarmed & 416 & 96.52\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Firearm & 2 & 0.46\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Other Firearm & 1 & 0.23\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Total & 431 & 100\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Lethal Cutting Instrument & 73 & 1.82\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Handgun & 63 & 1.57\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Other Firearm & 5 & 0.12\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Shotgun & 4 & 0.10\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Unarmed & 3,821 & 95.17\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Rifle & 3 & 0.07\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Firearm & 25 & 0.62\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Blunt Object & 21 & 0.52\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Total & 4,015 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Unarmed & 6,942 & 98.65\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Other Firearm & 6 & 0.09\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Blunt Object & 5 & 0.07\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Lethal Cutting Instrument & 35 & 0.50\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Handgun & 30 & 0.43\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Shotgun & 3 & 0.04\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Rifle & 2 & 0.03\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Firearm & 14 & 0.20\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Total & 7,037 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Firearm & 69 & 0.22\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Other Firearm & 34 & 0.11\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Unarmed & 31,469 & 98.11\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Handgun & 290 & 0.90\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Blunt Object & 29 & 0.09\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Shotgun & 18 & 0.06\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Lethal Cutting Instrument & 152 & 0.47\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Rifle & 13 & 0.04\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Total & 32,074 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Unarmed & 155 & 97.48\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Handgun & 1 & 0.63\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Lethal Cutting Instrument & 1 & 0.63\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Other Firearm & 1 & 0.63\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Shotgun & 1 & 0.63\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Total & 159 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Unarmed & 6,781 & 96.28\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Rifle & 3 & 0.04\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Shotgun & 3 & 0.04\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Firearm & 17 & 0.24\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Blunt Object & 11 & 0.16\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Handgun & 109 & 1.55\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Lethal Cutting Instrument & 109 & 1.55\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Other Firearm & 10 & 0.14\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Total & 7,043 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Rifle & 6 & 0.05\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Shotgun & 5 & 0.05\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Firearm & 21 & 0.19\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Blunt Object & 20 & 0.18\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Handgun & 162 & 1.48\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Other Firearm & 15 & 0.14\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Lethal Cutting Instrument & 137 & 1.25\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Unarmed & 10,612 & 96.67\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Total & 10,978 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Unarmed & 117 & 99.15\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Rifle & 1 & 0.85\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Total & 118 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Unarmed & 341 & 99.71\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Handgun & 1 & 0.29\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Total & 342 & 100\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Unarmed & 50 & 98.04\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Rifle & 1 & 1.96\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Total & 51 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Handgun & 5 & 1.67\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Unarmed & 293 & 97.99\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Rifle & 1 & 0.33\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Total & 299 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Unarmed & 202 & 100.00\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Total & 202 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Unarmed & 474 & 99.37\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Firearm & 1 & 0.21\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Handgun & 1 & 0.21\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Rifle & 1 & 0.21\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Total & 477 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Unarmed & 415 & 98.34\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Handgun & 3 & 0.71\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Shotgun & 2 & 0.47\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Firearm & 1 & 0.24\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Lethal Cutting Instrument & 1 & 0.24\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Total & 422 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Unarmed & 58 & 100.00\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Total & 58 & 100\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Blunt Object & 57 & 0.40\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Handgun & 485 & 3.43\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Lethal Cutting Instrument & 407 & 2.88\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Rifle & 28 & 0.20\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Shotgun & 18 & 0.13\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Unarmed & 12,952 & 91.52\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Firearm & 105 & 0.74\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Other Firearm & 100 & 0.71\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Total & 14,152 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Other Firearm & 87 & 0.07\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Shotgun & 49 & 0.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Rifle & 48 & 0.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Firearm & 441 & 0.34\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Unarmed & 126,210 & 97.43\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Blunt Object & 104 & 0.08\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Handgun & 1,515 & 1.17\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Lethal Cutting Instrument & 1,088 & 0.84\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Total & 129,542 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Other Firearm & 5 & 0.12\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Lethal Cutting Instrument & 44 & 1.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Unarmed & 4,162 & 98.00\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Blunt Object & 4 & 0.09\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Firearm & 3 & 0.07\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Handgun & 27 & 0.64\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Rifle & 1 & 0.02\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Shotgun & 1 & 0.02\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Total & 4,247 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Firearm & 5 & 0.40\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Handgun & 4 & 0.32\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Blunt Object & 2 & 0.16\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Lethal Cutting Instrument & 12 & 0.97\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Unarmed & 1,219 & 98.07\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Other Firearm & 1 & 0.08\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Total & 1,243 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Rifle & 8 & 0.00\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Shotgun & 78 & 0.03\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Handgun & 745 & 0.24\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Unarmed & 304,798 & 98.69\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Firearm & 226 & 0.07\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Lethal Cutting Instrument & 2,697 & 0.87\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Blunt Object & 187 & 0.06\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Other Firearm & 117 & 0.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Total & 308,856 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Blunt Object & 9 & 0.05\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Rifle & 8 & 0.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Firearm & 22 & 0.11\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Unarmed & 19,062 & 98.50\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Other Firearm & 15 & 0.08\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Lethal Cutting Instrument & 120 & 0.62\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Handgun & 107 & 0.55\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Shotgun & 10 & 0.05\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Total & 19,353 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Lethal Cutting Instrument & 7 & 1.19\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Unarmed & 576 & 97.96\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Handgun & 3 & 0.51\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Blunt Object & 2 & 0.34\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Total & 588 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Shotgun & 7 & 0.03\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Handgun & 589 & 2.74\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Blunt Object & 32 & 0.15\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Lethal Cutting Instrument & 302 & 1.41\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Other Firearm & 29 & 0.14\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Rifle & 22 & 0.10\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Unarmed & 20,332 & 94.73\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Firearm & 151 & 0.70\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Total & 21,464 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Blunt Object & 6 & 0.18\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Other Firearm & 6 & 0.18\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Handgun & 46 & 1.34\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Lethal Cutting Instrument & 36 & 1.05\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Unarmed & 3,309 & 96.64\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Firearm & 20 & 0.58\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Rifle & 1 & 0.03\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Total & 3,424 & 100\textbackslash{}\%\\ +\hline +Liquor Law Violations & Other Firearm & 6 & 0.17\textbackslash{}\%\\ +\hline +Liquor Law Violations & Rifle & 6 & 0.17\textbackslash{}\%\\ +\hline +Liquor Law Violations & Unarmed & 3,336 & 94.61\textbackslash{}\%\\ +\hline +Liquor Law Violations & Lethal Cutting Instrument & 23 & 0.65\textbackslash{}\%\\ +\hline +Liquor Law Violations & Shotgun & 2 & 0.06\textbackslash{}\%\\ +\hline +Liquor Law Violations & Firearm & 19 & 0.54\textbackslash{}\%\\ +\hline +Liquor Law Violations & Handgun & 124 & 3.52\textbackslash{}\%\\ +\hline +Liquor Law Violations & Blunt Object & 10 & 0.28\textbackslash{}\%\\ +\hline +Liquor Law Violations & Total & 3,526 & 100\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Other Firearm & 79 & 0.15\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Blunt Object & 78 & 0.14\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Lethal Cutting Instrument & 656 & 1.22\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Rifle & 52 & 0.10\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Unarmed & 51,599 & 95.61\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Shotgun & 33 & 0.06\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Firearm & 282 & 0.52\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Handgun & 1,191 & 2.21\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Total & 53,970 & 100\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Rifle & 80 & 1.10\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Unarmed & 5,024 & 69.18\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Lethal Cutting Instrument & 430 & 5.92\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Shotgun & 43 & 0.59\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Firearm & 368 & 5.07\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Blunt Object & 36 & 0.50\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Other Firearm & 36 & 0.50\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Handgun & 1,245 & 17.14\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Total & 7,262 & 100\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Unarmed & 850 & 89.19\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Handgun & 64 & 6.72\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Rifle & 4 & 0.42\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Blunt Object & 2 & 0.21\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Firearm & 19 & 1.99\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Lethal Cutting Instrument & 12 & 1.26\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Other Firearm & 1 & 0.10\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Shotgun & 1 & 0.10\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Total & 953 & 100\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Unarmed & 5,719 & 99.31\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Firearm & 5 & 0.09\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Handgun & 21 & 0.36\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Lethal Cutting Instrument & 11 & 0.19\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Blunt Object & 1 & 0.02\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Other Firearm & 1 & 0.02\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Rifle & 1 & 0.02\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Total & 5,759 & 100\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Lethal Cutting Instrument & 5 & 0.27\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Other Firearm & 20 & 1.08\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Blunt Object & 2 & 0.11\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Firearm & 2 & 0.11\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Handgun & 16 & 0.87\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Unarmed & 1,802 & 97.56\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Total & 1,847 & 100\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Firearm & 97 & 1.33\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Unarmed & 7,127 & 97.95\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Other Firearm & 4 & 0.05\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Blunt Object & 3 & 0.04\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Handgun & 29 & 0.40\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Lethal Cutting Instrument & 15 & 0.21\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Rifle & 1 & 0.01\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Total & 7,276 & 100\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Firearm & 5 & 0.31\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Handgun & 16 & 1.00\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Unarmed & 1,578 & 98.56\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Blunt Object & 1 & 0.06\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Lethal Cutting Instrument & 1 & 0.06\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Total & 1,601 & 100\textbackslash{}\%\\ +\hline +Robbery & Firearm & 973 & 2.23\textbackslash{}\%\\ +\hline +Robbery & Blunt Object & 683 & 1.56\textbackslash{}\%\\ +\hline +Robbery & Shotgun & 57 & 0.13\textbackslash{}\%\\ +\hline +Robbery & Other Firearm & 567 & 1.30\textbackslash{}\%\\ +\hline +Robbery & Unarmed & 34,050 & 77.92\textbackslash{}\%\\ +\hline +Robbery & Handgun & 3,941 & 9.02\textbackslash{}\%\\ +\hline +Robbery & Lethal Cutting Instrument & 3,314 & 7.58\textbackslash{}\%\\ +\hline +Robbery & Rifle & 116 & 0.27\textbackslash{}\%\\ +\hline +Robbery & Total & 43,701 & 100\textbackslash{}\%\\ +\hline +Runaway & Unarmed & 38 & 100.00\textbackslash{}\%\\ +\hline +Runaway & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Runaway & Total & 38 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Unarmed & 21 & 100.00\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Total & 21 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Lethal Cutting Instrument & 42 & 0.36\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Blunt Object & 4 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Shotgun & 4 & 0.03\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Handgun & 18 & 0.15\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Firearm & 14 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Other Firearm & 13 & 0.11\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Unarmed & 11,570 & 99.19\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Total & 11,665 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Unarmed & 215 & 97.29\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Blunt Object & 2 & 0.90\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Lethal Cutting Instrument & 2 & 0.90\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Handgun & 1 & 0.45\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Other Firearm & 1 & 0.45\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Total & 221 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Lethal Cutting Instrument & 95 & 1.03\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Handgun & 80 & 0.87\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Unarmed & 8,953 & 97.43\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Rifle & 4 & 0.04\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Other Firearm & 23 & 0.25\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Firearm & 22 & 0.24\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Shotgun & 2 & 0.02\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Blunt Object & 10 & 0.11\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Total & 9,189 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Unarmed & 837 & 98.01\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Lethal Cutting Instrument & 6 & 0.70\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Handgun & 5 & 0.59\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Blunt Object & 4 & 0.47\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Firearm & 1 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Shotgun & 1 & 0.12\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Total & 854 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Firearm & 7 & 0.30\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Blunt Object & 3 & 0.13\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Rifle & 3 & 0.13\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Unarmed & 2,275 & 98.23\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Other Firearm & 2 & 0.09\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Shotgun & 2 & 0.09\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Lethal Cutting Instrument & 14 & 0.60\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Handgun & 10 & 0.43\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Total & 2,316 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Handgun & 7 & 0.46\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Lethal Cutting Instrument & 5 & 0.33\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Unarmed & 1,518 & 99.15\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Shotgun & 1 & 0.07\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Total & 1,531 & 100\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Shotgun & 82 & 0.14\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Lethal Cutting Instrument & 718 & 1.25\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Firearm & 646 & 1.12\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Unarmed & 50,817 & 88.30\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Handgun & 4,749 & 8.25\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Other Firearm & 261 & 0.45\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Rifle & 163 & 0.28\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Blunt Object & 114 & 0.20\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Total & 57,550 & 100\textbackslash{}\%\\ +\hline +Trespass of Real Property & Handgun & 89 & 0.78\textbackslash{}\%\\ +\hline +Trespass of Real Property & Rifle & 5 & 0.04\textbackslash{}\%\\ +\hline +Trespass of Real Property & Firearm & 32 & 0.28\textbackslash{}\%\\ +\hline +Trespass of Real Property & Blunt Object & 23 & 0.20\textbackslash{}\%\\ +\hline +Trespass of Real Property & Lethal Cutting Instrument & 220 & 1.92\textbackslash{}\%\\ +\hline +Trespass of Real Property & Other Firearm & 19 & 0.17\textbackslash{}\%\\ +\hline +Trespass of Real Property & Unarmed & 11,075 & 96.61\textbackslash{}\%\\ +\hline +Trespass of Real Property & Shotgun & 1 & 0.01\textbackslash{}\%\\ +\hline +Trespass of Real Property & Total & 11,464 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Unarmed & 1 & 100.00\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Blunt Object & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Handgun & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Lethal Cutting Instrument & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Other Firearm & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Rifle & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Shotgun & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Total & 1 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Lethal Cutting Instrument & 9,950 & 7.67\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Firearm & 8,734 & 6.73\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Handgun & 53,736 & 41.43\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Unarmed & 49,346 & 38.05\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Blunt Object & 2,873 & 2.22\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Rifle & 2,102 & 1.62\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Other Firearm & 1,775 & 1.37\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Shotgun & 1,188 & 0.92\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Total & 129,704 & 100\textbackslash{}\%\\ +\hline +\end{longtable} @@ -26065,10 +11223,14 @@ To see the weapons carried when the arrestee had a weapon, Figure \@ref(fig:arre This variable tells you if the weapon the arrestee was carrying was a gun whether that gun was fully automatic. To be clear, this means that when you pull the trigger once the gun will fire multiple bullets. Semi-automatic firearms are not automatic firearms. The Offense Segment also has a variable indicating if the offender used an automatic weapon but there they did not necessarily recover the gun so it is much less reliable than in this segment where the police have the gun and are able to test it.^[It is not clear whether they actually test it or simply go by the design of the gun, such as if the model allows for fully automatic firing.] The percent of guns that are fully automatic are fairly similar between the weapons seized at arrest, as shown in Figure \@ref(fig:arresteeAutomaticWeapon) and those used in the offense as shown in Figure \@ref(fig:offenseAutomaticWeapon) in Chapter \@ref(offenseSegment). Figure \@ref(fig:arresteeAutomaticWeapon) shows that about 5.6% of rifles seized by police during an arrest were fully automatic. About 4.9% of handguns are automatic while "firearm (type not stated) are automatic in 4.3% of cases. Shotguns and "other firearm" category are the least likely to be automatic at about 2.5% and 1.1% of weapons, respectively. -
-The percent of firearms the arrestee was carrying that were fully automatic, for the first weapon reported, 1991-2023. -

(\#fig:arresteeAutomaticWeapon)The percent of firearms the arrestee was carrying that were fully automatic, for the first weapon reported, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/arresteeAutomaticWeapon-1} + +} + +\caption{The percent of firearms the arrestee was carrying that were fully automatic, for the first weapon reported, 1991-2023.}(\#fig:arresteeAutomaticWeapon) +\end{figure} ## Type of arrest @@ -26079,1555 +11241,531 @@ The next type of arrest is a "warrant/previous incident report" and this makes u Finally, people can get a "summoned/cited" arrest which is not really an arrest at all. This is when they are given a subpoena that says that must go to court to be tried for a crime, but they are not formally arrested and taken into police custody (i.e. they are never handcuffed, taken to a police precinct or to jail). About 22.2% of arrests are this form of arrest. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:arresteeoffenseArrestType)The number and percent of arrestees by offense and type of arrest, 2023.
Offense Type of Arrest \# of arrestees \% of arrestees
All Other Offenses On-View Arrest 39,585 51.10\%
All Other Offenses Taken Into Custody 28,109 36.29\%
All Other Offenses Summoned/Cited 9,766 12.61\%
All Other Offenses Total 77,460 100\%
Animal Cruelty Summoned/Cited 1,928 47.69\%
Animal Cruelty Taken Into Custody 1,069 26.44\%
Animal Cruelty On-View Arrest 1,046 25.87\%
Animal Cruelty Total 4,043 100\%
Arson On-View Arrest 3,626 54.36\%
Arson Taken Into Custody 2,260 33.88\%
Arson Summoned/Cited 784 11.75\%
Arson Total 6,670 100\%
Assault Offenses - Aggravated Assault On-View Arrest 140,381 55.29\%
Assault Offenses - Aggravated Assault Taken Into Custody 100,162 39.45\%
Assault Offenses - Aggravated Assault Summoned/Cited 13,344 5.26\%
Assault Offenses - Aggravated Assault Total 253,887 100\%
Assault Offenses - Intimidation On-View Arrest 46,866 44.54\%
Assault Offenses - Intimidation Taken Into Custody 44,594 42.38\%
Assault Offenses - Intimidation Summoned/Cited 13,765 13.08\%
Assault Offenses - Intimidation Total 105,225 100\%
Assault Offenses - Simple Assault On-View Arrest 373,264 54.07\%
Assault Offenses - Simple Assault Taken Into Custody 218,588 31.67\%
Assault Offenses - Simple Assault Summoned/Cited 98,437 14.26\%
Assault Offenses - Simple Assault Total 690,289 100\%
Bond Default - Failure To Appear Taken Into Custody 38 61.29\%
Bond Default - Failure To Appear On-View Arrest 21 33.87\%
Bond Default - Failure To Appear Summoned/Cited 3 4.84\%
Bond Default - Failure To Appear Total 62 100\%
Bribery On-View Arrest 150 57.92\%
Bribery Taken Into Custody 88 33.98\%
Bribery Summoned/Cited 21 8.11\%
Bribery Total 259 100\%
Burglary/Breaking And Entering On-View Arrest 41,521 51.59\%
Burglary/Breaking And Entering Taken Into Custody 33,161 41.20\%
Burglary/Breaking And Entering Summoned/Cited 5,797 7.20\%
Burglary/Breaking And Entering Total 80,479 100\%
Commerce Violations - Federal Liquor Offenses Taken Into Custody 21 95.45\%
Commerce Violations - Federal Liquor Offenses Summoned/Cited 1 4.55\%
Commerce Violations - Federal Liquor Offenses Total 22 100\%
Commerce Violations - Wildlife Trafficking Summoned/Cited 1 100.00\%
Commerce Violations - Wildlife Trafficking Total 1 100\%
Counterfeiting/Forgery Taken Into Custody 13,232 49.85\%
Counterfeiting/Forgery On-View Arrest 9,711 36.59\%
Counterfeiting/Forgery Summoned/Cited 3,600 13.56\%
Counterfeiting/Forgery Total 26,543 100\%
Curfew/Loitering/Vagrancy Violations On-View Arrest 704 58.67\%
Curfew/Loitering/Vagrancy Violations Summoned/Cited 366 30.50\%
Curfew/Loitering/Vagrancy Violations Taken Into Custody 130 10.83\%
Curfew/Loitering/Vagrancy Violations Total 1,200 100\%
Destruction/Damage/Vandalism of Property On-View Arrest 52,107 41.52\%
Destruction/Damage/Vandalism of Property Taken Into Custody 43,341 34.54\%
Destruction/Damage/Vandalism of Property Summoned/Cited 30,037 23.94\%
Destruction/Damage/Vandalism of Property Total 125,485 100\%
Disorderly Conduct On-View Arrest 6,696 50.40\%
Disorderly Conduct Summoned/Cited 3,747 28.20\%
Disorderly Conduct Taken Into Custody 2,842 21.39\%
Disorderly Conduct Total 13,285 100\%
Driving Under The Influence On-View Arrest 12,171 72.79\%
Driving Under The Influence Taken Into Custody 2,863 17.12\%
Driving Under The Influence Summoned/Cited 1,687 10.09\%
Driving Under The Influence Total 16,721 100\%
Drug/Narcotic Offenses - Drug Equipment Violations On-View Arrest 65,747 45.06\%
Drug/Narcotic Offenses - Drug Equipment Violations Summoned/Cited 56,655 38.83\%
Drug/Narcotic Offenses - Drug Equipment Violations Taken Into Custody 23,494 16.10\%
Drug/Narcotic Offenses - Drug Equipment Violations Total 145,896 100\%
Drug/Narcotic Offenses - Drug/Narcotic Violations On-View Arrest 363,310 57.36\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Taken Into Custody 144,704 22.85\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Summoned/Cited 125,372 19.79\%
Drug/Narcotic Offenses - Drug/Narcotic Violations Total 633,386 100\%
Embezzlement Taken Into Custody 2,513 36.99\%
Embezzlement On-View Arrest 2,477 36.46\%
Embezzlement Summoned/Cited 1,803 26.54\%
Embezzlement Total 6,793 100\%
Extortion/Blackmail Taken Into Custody 254 58.66\%
Extortion/Blackmail On-View Arrest 125 28.87\%
Extortion/Blackmail Summoned/Cited 54 12.47\%
Extortion/Blackmail Total 433 100\%
Family Offenses, Nonviolent Taken Into Custody 1,576 39.17\%
Family Offenses, Nonviolent On-View Arrest 1,550 38.52\%
Family Offenses, Nonviolent Summoned/Cited 898 22.32\%
Family Offenses, Nonviolent Total 4,024 100\%
Fraud Offenses - Credit Card/Atm Fraud Taken Into Custody 3,183 44.95\%
Fraud Offenses - Credit Card/Atm Fraud On-View Arrest 2,424 34.23\%
Fraud Offenses - Credit Card/Atm Fraud Summoned/Cited 1,474 20.82\%
Fraud Offenses - Credit Card/Atm Fraud Total 7,081 100\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game On-View Arrest 11,857 36.85\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Summoned/Cited 10,391 32.29\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Taken Into Custody 9,932 30.86\%
Fraud Offenses - False Pretenses/Swindle/Confidence Game Total 32,180 100\%
Fraud Offenses - Hacking/Computer Invasion Taken Into Custody 72 44.72\%
Fraud Offenses - Hacking/Computer Invasion On-View Arrest 54 33.54\%
Fraud Offenses - Hacking/Computer Invasion Summoned/Cited 35 21.74\%
Fraud Offenses - Hacking/Computer Invasion Total 161 100\%
Fraud Offenses - Identity Theft On-View Arrest 3,985 56.29\%
Fraud Offenses - Identity Theft Taken Into Custody 2,287 32.31\%
Fraud Offenses - Identity Theft Summoned/Cited 807 11.40\%
Fraud Offenses - Identity Theft Total 7,079 100\%
Fraud Offenses - Impersonation On-View Arrest 6,542 59.35\%
Fraud Offenses - Impersonation Taken Into Custody 3,074 27.89\%
Fraud Offenses - Impersonation Summoned/Cited 1,406 12.76\%
Fraud Offenses - Impersonation Total 11,022 100\%
Fraud Offenses - Welfare Fraud Taken Into Custody 54 45.38\%
Fraud Offenses - Welfare Fraud Summoned/Cited 39 32.77\%
Fraud Offenses - Welfare Fraud On-View Arrest 26 21.85\%
Fraud Offenses - Welfare Fraud Total 119 100\%
Fraud Offenses - Wire Fraud Taken Into Custody 168 48.70\%
Fraud Offenses - Wire Fraud On-View Arrest 103 29.86\%
Fraud Offenses - Wire Fraud Summoned/Cited 74 21.45\%
Fraud Offenses - Wire Fraud Total 345 100\%
Fugitive Offenses - Flight To Avoid Prosecution Taken Into Custody 46 90.20\%
Fugitive Offenses - Flight To Avoid Prosecution Summoned/Cited 4 7.84\%
Fugitive Offenses - Flight To Avoid Prosecution On-View Arrest 1 1.96\%
Fugitive Offenses - Flight To Avoid Prosecution Total 51 100\%
Gambling Offenses - Betting/Wagering Summoned/Cited 124 40.92\%
Gambling Offenses - Betting/Wagering Taken Into Custody 107 35.31\%
Gambling Offenses - Betting/Wagering On-View Arrest 72 23.76\%
Gambling Offenses - Betting/Wagering Total 303 100\%
Gambling Offenses - Gambling Equipment Violations Taken Into Custody 156 76.85\%
Gambling Offenses - Gambling Equipment Violations Summoned/Cited 26 12.81\%
Gambling Offenses - Gambling Equipment Violations On-View Arrest 21 10.34\%
Gambling Offenses - Gambling Equipment Violations Total 203 100\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Taken Into Custody 252 52.17\%
Gambling Offenses - Operating/Promoting/Assisting Gambling On-View Arrest 132 27.33\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Summoned/Cited 99 20.50\%
Gambling Offenses - Operating/Promoting/Assisting Gambling Total 483 100\%
Human Trafficking - Commercial Sex Acts On-View Arrest 219 51.65\%
Human Trafficking - Commercial Sex Acts Taken Into Custody 187 44.10\%
Human Trafficking - Commercial Sex Acts Summoned/Cited 18 4.25\%
Human Trafficking - Commercial Sex Acts Total 424 100\%
Human Trafficking - Involuntary Servitude On-View Arrest 34 55.74\%
Human Trafficking - Involuntary Servitude Taken Into Custody 24 39.34\%
Human Trafficking - Involuntary Servitude Summoned/Cited 3 4.92\%
Human Trafficking - Involuntary Servitude Total 61 100\%
Kidnapping/Abduction On-View Arrest 7,688 54.38\%
Kidnapping/Abduction Taken Into Custody 5,754 40.70\%
Kidnapping/Abduction Summoned/Cited 695 4.92\%
Kidnapping/Abduction Total 14,137 100\%
Larceny/Theft Offenses - All Other Larceny On-View Arrest 46,041 35.34\%
Larceny/Theft Offenses - All Other Larceny Taken Into Custody 45,941 35.26\%
Larceny/Theft Offenses - All Other Larceny Summoned/Cited 38,293 29.39\%
Larceny/Theft Offenses - All Other Larceny Total 130,275 100\%
Larceny/Theft Offenses - Pocket-Picking Taken Into Custody 1,623 38.09\%
Larceny/Theft Offenses - Pocket-Picking Summoned/Cited 1,500 35.20\%
Larceny/Theft Offenses - Pocket-Picking On-View Arrest 1,138 26.71\%
Larceny/Theft Offenses - Pocket-Picking Total 4,261 100\%
Larceny/Theft Offenses - Purse-Snatching Taken Into Custody 546 43.82\%
Larceny/Theft Offenses - Purse-Snatching On-View Arrest 458 36.76\%
Larceny/Theft Offenses - Purse-Snatching Summoned/Cited 242 19.42\%
Larceny/Theft Offenses - Purse-Snatching Total 1,246 100\%
Larceny/Theft Offenses - Shoplifting Summoned/Cited 121,007 38.84\%
Larceny/Theft Offenses - Shoplifting On-View Arrest 109,556 35.16\%
Larceny/Theft Offenses - Shoplifting Taken Into Custody 81,021 26.00\%
Larceny/Theft Offenses - Shoplifting Total 311,584 100\%
Larceny/Theft Offenses - Theft From Building Taken Into Custody 7,361 37.87\%
Larceny/Theft Offenses - Theft From Building On-View Arrest 6,045 31.10\%
Larceny/Theft Offenses - Theft From Building Summoned/Cited 6,034 31.04\%
Larceny/Theft Offenses - Theft From Building Total 19,440 100\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Taken Into Custody 321 53.95\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device On-View Arrest 177 29.75\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Summoned/Cited 97 16.30\%
Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device Total 595 100\%
Larceny/Theft Offenses - Theft From Motor Vehicle On-View Arrest 10,745 49.86\%
Larceny/Theft Offenses - Theft From Motor Vehicle Taken Into Custody 8,169 37.91\%
Larceny/Theft Offenses - Theft From Motor Vehicle Summoned/Cited 2,635 12.23\%
Larceny/Theft Offenses - Theft From Motor Vehicle Total 21,549 100\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Taken Into Custody 1,402 40.76\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories On-View Arrest 1,393 40.49\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Summoned/Cited 645 18.75\%
Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories Total 3,440 100\%
Liquor Law Violations Summoned/Cited 1,888 52.89\%
Liquor Law Violations On-View Arrest 1,241 34.76\%
Liquor Law Violations Taken Into Custody 441 12.35\%
Liquor Law Violations Total 3,570 100\%
Motor Vehicle Theft On-View Arrest 30,058 55.46\%
Motor Vehicle Theft Taken Into Custody 19,856 36.64\%
Motor Vehicle Theft Summoned/Cited 4,280 7.90\%
Motor Vehicle Theft Total 54,194 100\%
Murder/Nonnegligent Manslaughter Taken Into Custody 4,057 56.16\%
Murder/Nonnegligent Manslaughter On-View Arrest 3,002 41.56\%
Murder/Nonnegligent Manslaughter Summoned/Cited 165 2.28\%
Murder/Nonnegligent Manslaughter Total 7,224 100\%
Negligent Manslaughter Taken Into Custody 495 52.00\%
Negligent Manslaughter On-View Arrest 382 40.13\%
Negligent Manslaughter Summoned/Cited 75 7.88\%
Negligent Manslaughter Total 952 100\%
Pornography/Obscene Material Taken Into Custody 2,477 42.85\%
Pornography/Obscene Material On-View Arrest 2,068 35.77\%
Pornography/Obscene Material Summoned/Cited 1,236 21.38\%
Pornography/Obscene Material Total 5,781 100\%
Prostitution Offenses - Assisting Or Promoting Prostitution On-View Arrest 890 47.77\%
Prostitution Offenses - Assisting Or Promoting Prostitution Taken Into Custody 672 36.07\%
Prostitution Offenses - Assisting Or Promoting Prostitution Summoned/Cited 301 16.16\%
Prostitution Offenses - Assisting Or Promoting Prostitution Total 1,863 100\%
Prostitution Offenses - Prostitution On-View Arrest 4,077 55.56\%
Prostitution Offenses - Prostitution Taken Into Custody 2,023 27.57\%
Prostitution Offenses - Prostitution Summoned/Cited 1,238 16.87\%
Prostitution Offenses - Prostitution Total 7,338 100\%
Prostitution Offenses - Purchasing Prostitution On-View Arrest 850 52.73\%
Prostitution Offenses - Purchasing Prostitution Summoned/Cited 528 32.75\%
Prostitution Offenses - Purchasing Prostitution Taken Into Custody 234 14.52\%
Prostitution Offenses - Purchasing Prostitution Total 1,612 100\%
Robbery Taken Into Custody 21,742 50.41\%
Robbery On-View Arrest 19,732 45.75\%
Robbery Summoned/Cited 1,656 3.84\%
Robbery Total 43,130 100\%
Runaway Summoned/Cited 21 55.26\%
Runaway On-View Arrest 13 34.21\%
Runaway Taken Into Custody 4 10.53\%
Runaway Total 38 100\%
Sex Offenses - Failure To Register As A Sex Offender Summoned/Cited 10 47.62\%
Sex Offenses - Failure To Register As A Sex Offender Taken Into Custody 8 38.10\%
Sex Offenses - Failure To Register As A Sex Offender On-View Arrest 3 14.29\%
Sex Offenses - Failure To Register As A Sex Offender Total 21 100\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Taken Into Custody 5,634 48.25\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) On-View Arrest 4,083 34.97\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Summoned/Cited 1,959 16.78\%
Sex Offenses - Fondling (Indecent Liberties/Child Molest) Total 11,676 100\%
Sex Offenses - Incest Taken Into Custody 112 50.22\%
Sex Offenses - Incest On-View Arrest 74 33.18\%
Sex Offenses - Incest Summoned/Cited 37 16.59\%
Sex Offenses - Incest Total 223 100\%
Sex Offenses - Rape Taken Into Custody 4,737 51.46\%
Sex Offenses - Rape On-View Arrest 3,535 38.40\%
Sex Offenses - Rape Summoned/Cited 933 10.14\%
Sex Offenses - Rape Total 9,205 100\%
Sex Offenses - Sexual Assault With An Object Taken Into Custody 433 50.64\%
Sex Offenses - Sexual Assault With An Object On-View Arrest 340 39.77\%
Sex Offenses - Sexual Assault With An Object Summoned/Cited 82 9.59\%
Sex Offenses - Sexual Assault With An Object Total 855 100\%
Sex Offenses - Sodomy Taken Into Custody 1,299 55.99\%
Sex Offenses - Sodomy On-View Arrest 763 32.89\%
Sex Offenses - Sodomy Summoned/Cited 258 11.12\%
Sex Offenses - Sodomy Total 2,320 100\%
Sex Offenses - Statutory Rape Taken Into Custody 723 47.13\%
Sex Offenses - Statutory Rape On-View Arrest 571 37.22\%
Sex Offenses - Statutory Rape Summoned/Cited 240 15.65\%
Sex Offenses - Statutory Rape Total 1,534 100\%
Stolen Property Offenses (Receiving, Selling, Etc.) On-View Arrest 34,906 60.51\%
Stolen Property Offenses (Receiving, Selling, Etc.) Taken Into Custody 17,127 29.69\%
Stolen Property Offenses (Receiving, Selling, Etc.) Summoned/Cited 5,650 9.79\%
Stolen Property Offenses (Receiving, Selling, Etc.) Total 57,683 100\%
Trespass of Real Property On-View Arrest 5,968 51.60\%
Trespass of Real Property Summoned/Cited 2,944 25.45\%
Trespass of Real Property Taken Into Custody 2,655 22.95\%
Trespass of Real Property Total 11,567 100\%
Weapon Law Violations - Explosives Taken Into Custody 1 100.00\%
Weapon Law Violations - Explosives Total 1 100\%
Weapon Law Violations - Weapon Law Violations On-View Arrest 78,141 60.65\%
Weapon Law Violations - Weapon Law Violations Taken Into Custody 36,091 28.01\%
Weapon Law Violations - Weapon Law Violations Summoned/Cited 14,612 11.34\%
Weapon Law Violations - Weapon Law Violations Total 128,844 100\%
Commerce Violations - Federal Liquor Offenses On-View Arrest 0 0\%
Commerce Violations - Wildlife Trafficking On-View Arrest 0 0\%
Weapon Law Violations - Explosives On-View Arrest 0 0\%
Weapon Law Violations - Explosives Summoned/Cited 0 0\%
Commerce Violations - Wildlife Trafficking Taken Into Custody 0 0\%
+ +\begin{longtable}[t]{l|l|r|r} +\caption{(\#tab:arresteeoffenseArrestType)The number and percent of arrestees by offense and type of arrest, 2023.}\\ +\hline +Offense & Type of Arrest & \textbackslash{}\# of arrestees & \textbackslash{}\% of arrestees\\ +\hline +\endfirsthead +\caption[]{(\#tab:arresteeoffenseArrestType)The number and percent of arrestees by offense and type of arrest, 2023. \textit{(continued)}}\\ +\hline +Offense & Type of Arrest & \textbackslash{}\# of arrestees & \textbackslash{}\% of arrestees\\ +\hline +\endhead +All Other Offenses & On-View Arrest & 39,585 & 51.10\textbackslash{}\%\\ +\hline +All Other Offenses & Taken Into Custody & 28,109 & 36.29\textbackslash{}\%\\ +\hline +All Other Offenses & Summoned/Cited & 9,766 & 12.61\textbackslash{}\%\\ +\hline +All Other Offenses & Total & 77,460 & 100\textbackslash{}\%\\ +\hline +Animal Cruelty & Summoned/Cited & 1,928 & 47.69\textbackslash{}\%\\ +\hline +Animal Cruelty & Taken Into Custody & 1,069 & 26.44\textbackslash{}\%\\ +\hline +Animal Cruelty & On-View Arrest & 1,046 & 25.87\textbackslash{}\%\\ +\hline +Animal Cruelty & Total & 4,043 & 100\textbackslash{}\%\\ +\hline +Arson & On-View Arrest & 3,626 & 54.36\textbackslash{}\%\\ +\hline +Arson & Taken Into Custody & 2,260 & 33.88\textbackslash{}\%\\ +\hline +Arson & Summoned/Cited & 784 & 11.75\textbackslash{}\%\\ +\hline +Arson & Total & 6,670 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & On-View Arrest & 140,381 & 55.29\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Taken Into Custody & 100,162 & 39.45\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Summoned/Cited & 13,344 & 5.26\textbackslash{}\%\\ +\hline +Assault Offenses - Aggravated Assault & Total & 253,887 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & On-View Arrest & 46,866 & 44.54\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Taken Into Custody & 44,594 & 42.38\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Summoned/Cited & 13,765 & 13.08\textbackslash{}\%\\ +\hline +Assault Offenses - Intimidation & Total & 105,225 & 100\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & On-View Arrest & 373,264 & 54.07\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Taken Into Custody & 218,588 & 31.67\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Summoned/Cited & 98,437 & 14.26\textbackslash{}\%\\ +\hline +Assault Offenses - Simple Assault & Total & 690,289 & 100\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Taken Into Custody & 38 & 61.29\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & On-View Arrest & 21 & 33.87\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Summoned/Cited & 3 & 4.84\textbackslash{}\%\\ +\hline +Bond Default - Failure To Appear & Total & 62 & 100\textbackslash{}\%\\ +\hline +Bribery & On-View Arrest & 150 & 57.92\textbackslash{}\%\\ +\hline +Bribery & Taken Into Custody & 88 & 33.98\textbackslash{}\%\\ +\hline +Bribery & Summoned/Cited & 21 & 8.11\textbackslash{}\%\\ +\hline +Bribery & Total & 259 & 100\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & On-View Arrest & 41,521 & 51.59\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Taken Into Custody & 33,161 & 41.20\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Summoned/Cited & 5,797 & 7.20\textbackslash{}\%\\ +\hline +Burglary/Breaking And Entering & Total & 80,479 & 100\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Taken Into Custody & 21 & 95.45\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Summoned/Cited & 1 & 4.55\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & Total & 22 & 100\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Summoned/Cited & 1 & 100.00\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Total & 1 & 100\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Taken Into Custody & 13,232 & 49.85\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & On-View Arrest & 9,711 & 36.59\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Summoned/Cited & 3,600 & 13.56\textbackslash{}\%\\ +\hline +Counterfeiting/Forgery & Total & 26,543 & 100\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & On-View Arrest & 704 & 58.67\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Summoned/Cited & 366 & 30.50\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Taken Into Custody & 130 & 10.83\textbackslash{}\%\\ +\hline +Curfew/Loitering/Vagrancy Violations & Total & 1,200 & 100\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & On-View Arrest & 52,107 & 41.52\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Taken Into Custody & 43,341 & 34.54\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Summoned/Cited & 30,037 & 23.94\textbackslash{}\%\\ +\hline +Destruction/Damage/Vandalism of Property & Total & 125,485 & 100\textbackslash{}\%\\ +\hline +Disorderly Conduct & On-View Arrest & 6,696 & 50.40\textbackslash{}\%\\ +\hline +Disorderly Conduct & Summoned/Cited & 3,747 & 28.20\textbackslash{}\%\\ +\hline +Disorderly Conduct & Taken Into Custody & 2,842 & 21.39\textbackslash{}\%\\ +\hline +Disorderly Conduct & Total & 13,285 & 100\textbackslash{}\%\\ +\hline +Driving Under The Influence & On-View Arrest & 12,171 & 72.79\textbackslash{}\%\\ +\hline +Driving Under The Influence & Taken Into Custody & 2,863 & 17.12\textbackslash{}\%\\ +\hline +Driving Under The Influence & Summoned/Cited & 1,687 & 10.09\textbackslash{}\%\\ +\hline +Driving Under The Influence & Total & 16,721 & 100\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & On-View Arrest & 65,747 & 45.06\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Summoned/Cited & 56,655 & 38.83\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Taken Into Custody & 23,494 & 16.10\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug Equipment Violations & Total & 145,896 & 100\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & On-View Arrest & 363,310 & 57.36\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Taken Into Custody & 144,704 & 22.85\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Summoned/Cited & 125,372 & 19.79\textbackslash{}\%\\ +\hline +Drug/Narcotic Offenses - Drug/Narcotic Violations & Total & 633,386 & 100\textbackslash{}\%\\ +\hline +Embezzlement & Taken Into Custody & 2,513 & 36.99\textbackslash{}\%\\ +\hline +Embezzlement & On-View Arrest & 2,477 & 36.46\textbackslash{}\%\\ +\hline +Embezzlement & Summoned/Cited & 1,803 & 26.54\textbackslash{}\%\\ +\hline +Embezzlement & Total & 6,793 & 100\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Taken Into Custody & 254 & 58.66\textbackslash{}\%\\ +\hline +Extortion/Blackmail & On-View Arrest & 125 & 28.87\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Summoned/Cited & 54 & 12.47\textbackslash{}\%\\ +\hline +Extortion/Blackmail & Total & 433 & 100\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Taken Into Custody & 1,576 & 39.17\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & On-View Arrest & 1,550 & 38.52\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Summoned/Cited & 898 & 22.32\textbackslash{}\%\\ +\hline +Family Offenses, Nonviolent & Total & 4,024 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Taken Into Custody & 3,183 & 44.95\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & On-View Arrest & 2,424 & 34.23\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Summoned/Cited & 1,474 & 20.82\textbackslash{}\%\\ +\hline +Fraud Offenses - Credit Card/Atm Fraud & Total & 7,081 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & On-View Arrest & 11,857 & 36.85\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Summoned/Cited & 10,391 & 32.29\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Taken Into Custody & 9,932 & 30.86\textbackslash{}\%\\ +\hline +Fraud Offenses - False Pretenses/Swindle/Confidence Game & Total & 32,180 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Taken Into Custody & 72 & 44.72\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & On-View Arrest & 54 & 33.54\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Summoned/Cited & 35 & 21.74\textbackslash{}\%\\ +\hline +Fraud Offenses - Hacking/Computer Invasion & Total & 161 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & On-View Arrest & 3,985 & 56.29\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Taken Into Custody & 2,287 & 32.31\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Summoned/Cited & 807 & 11.40\textbackslash{}\%\\ +\hline +Fraud Offenses - Identity Theft & Total & 7,079 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & On-View Arrest & 6,542 & 59.35\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Taken Into Custody & 3,074 & 27.89\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Summoned/Cited & 1,406 & 12.76\textbackslash{}\%\\ +\hline +Fraud Offenses - Impersonation & Total & 11,022 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Taken Into Custody & 54 & 45.38\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Summoned/Cited & 39 & 32.77\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & On-View Arrest & 26 & 21.85\textbackslash{}\%\\ +\hline +Fraud Offenses - Welfare Fraud & Total & 119 & 100\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Taken Into Custody & 168 & 48.70\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & On-View Arrest & 103 & 29.86\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Summoned/Cited & 74 & 21.45\textbackslash{}\%\\ +\hline +Fraud Offenses - Wire Fraud & Total & 345 & 100\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Taken Into Custody & 46 & 90.20\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Summoned/Cited & 4 & 7.84\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & On-View Arrest & 1 & 1.96\textbackslash{}\%\\ +\hline +Fugitive Offenses - Flight To Avoid Prosecution & Total & 51 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Summoned/Cited & 124 & 40.92\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Taken Into Custody & 107 & 35.31\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & On-View Arrest & 72 & 23.76\textbackslash{}\%\\ +\hline +Gambling Offenses - Betting/Wagering & Total & 303 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Taken Into Custody & 156 & 76.85\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Summoned/Cited & 26 & 12.81\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & On-View Arrest & 21 & 10.34\textbackslash{}\%\\ +\hline +Gambling Offenses - Gambling Equipment Violations & Total & 203 & 100\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Taken Into Custody & 252 & 52.17\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & On-View Arrest & 132 & 27.33\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Summoned/Cited & 99 & 20.50\textbackslash{}\%\\ +\hline +Gambling Offenses - Operating/Promoting/Assisting Gambling & Total & 483 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & On-View Arrest & 219 & 51.65\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Taken Into Custody & 187 & 44.10\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Summoned/Cited & 18 & 4.25\textbackslash{}\%\\ +\hline +Human Trafficking - Commercial Sex Acts & Total & 424 & 100\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & On-View Arrest & 34 & 55.74\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Taken Into Custody & 24 & 39.34\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Summoned/Cited & 3 & 4.92\textbackslash{}\%\\ +\hline +Human Trafficking - Involuntary Servitude & Total & 61 & 100\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & On-View Arrest & 7,688 & 54.38\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Taken Into Custody & 5,754 & 40.70\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Summoned/Cited & 695 & 4.92\textbackslash{}\%\\ +\hline +Kidnapping/Abduction & Total & 14,137 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & On-View Arrest & 46,041 & 35.34\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Taken Into Custody & 45,941 & 35.26\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Summoned/Cited & 38,293 & 29.39\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - All Other Larceny & Total & 130,275 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Taken Into Custody & 1,623 & 38.09\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Summoned/Cited & 1,500 & 35.20\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & On-View Arrest & 1,138 & 26.71\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Pocket-Picking & Total & 4,261 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Taken Into Custody & 546 & 43.82\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & On-View Arrest & 458 & 36.76\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Summoned/Cited & 242 & 19.42\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Purse-Snatching & Total & 1,246 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Summoned/Cited & 121,007 & 38.84\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & On-View Arrest & 109,556 & 35.16\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Taken Into Custody & 81,021 & 26.00\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Shoplifting & Total & 311,584 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Taken Into Custody & 7,361 & 37.87\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & On-View Arrest & 6,045 & 31.10\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Summoned/Cited & 6,034 & 31.04\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Building & Total & 19,440 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Taken Into Custody & 321 & 53.95\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & On-View Arrest & 177 & 29.75\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Summoned/Cited & 97 & 16.30\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Coin-Operated Machine Or Device & Total & 595 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & On-View Arrest & 10,745 & 49.86\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Taken Into Custody & 8,169 & 37.91\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Summoned/Cited & 2,635 & 12.23\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft From Motor Vehicle & Total & 21,549 & 100\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Taken Into Custody & 1,402 & 40.76\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & On-View Arrest & 1,393 & 40.49\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Summoned/Cited & 645 & 18.75\textbackslash{}\%\\ +\hline +Larceny/Theft Offenses - Theft of Motor Vehicle Parts/Accessories & Total & 3,440 & 100\textbackslash{}\%\\ +\hline +Liquor Law Violations & Summoned/Cited & 1,888 & 52.89\textbackslash{}\%\\ +\hline +Liquor Law Violations & On-View Arrest & 1,241 & 34.76\textbackslash{}\%\\ +\hline +Liquor Law Violations & Taken Into Custody & 441 & 12.35\textbackslash{}\%\\ +\hline +Liquor Law Violations & Total & 3,570 & 100\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & On-View Arrest & 30,058 & 55.46\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Taken Into Custody & 19,856 & 36.64\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Summoned/Cited & 4,280 & 7.90\textbackslash{}\%\\ +\hline +Motor Vehicle Theft & Total & 54,194 & 100\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Taken Into Custody & 4,057 & 56.16\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & On-View Arrest & 3,002 & 41.56\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Summoned/Cited & 165 & 2.28\textbackslash{}\%\\ +\hline +Murder/Nonnegligent Manslaughter & Total & 7,224 & 100\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Taken Into Custody & 495 & 52.00\textbackslash{}\%\\ +\hline +Negligent Manslaughter & On-View Arrest & 382 & 40.13\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Summoned/Cited & 75 & 7.88\textbackslash{}\%\\ +\hline +Negligent Manslaughter & Total & 952 & 100\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Taken Into Custody & 2,477 & 42.85\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & On-View Arrest & 2,068 & 35.77\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Summoned/Cited & 1,236 & 21.38\textbackslash{}\%\\ +\hline +Pornography/Obscene Material & Total & 5,781 & 100\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & On-View Arrest & 890 & 47.77\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Taken Into Custody & 672 & 36.07\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Summoned/Cited & 301 & 16.16\textbackslash{}\%\\ +\hline +Prostitution Offenses - Assisting Or Promoting Prostitution & Total & 1,863 & 100\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & On-View Arrest & 4,077 & 55.56\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Taken Into Custody & 2,023 & 27.57\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Summoned/Cited & 1,238 & 16.87\textbackslash{}\%\\ +\hline +Prostitution Offenses - Prostitution & Total & 7,338 & 100\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & On-View Arrest & 850 & 52.73\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Summoned/Cited & 528 & 32.75\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Taken Into Custody & 234 & 14.52\textbackslash{}\%\\ +\hline +Prostitution Offenses - Purchasing Prostitution & Total & 1,612 & 100\textbackslash{}\%\\ +\hline +Robbery & Taken Into Custody & 21,742 & 50.41\textbackslash{}\%\\ +\hline +Robbery & On-View Arrest & 19,732 & 45.75\textbackslash{}\%\\ +\hline +Robbery & Summoned/Cited & 1,656 & 3.84\textbackslash{}\%\\ +\hline +Robbery & Total & 43,130 & 100\textbackslash{}\%\\ +\hline +Runaway & Summoned/Cited & 21 & 55.26\textbackslash{}\%\\ +\hline +Runaway & On-View Arrest & 13 & 34.21\textbackslash{}\%\\ +\hline +Runaway & Taken Into Custody & 4 & 10.53\textbackslash{}\%\\ +\hline +Runaway & Total & 38 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Summoned/Cited & 10 & 47.62\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Taken Into Custody & 8 & 38.10\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & On-View Arrest & 3 & 14.29\textbackslash{}\%\\ +\hline +Sex Offenses - Failure To Register As A Sex Offender & Total & 21 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Taken Into Custody & 5,634 & 48.25\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & On-View Arrest & 4,083 & 34.97\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Summoned/Cited & 1,959 & 16.78\textbackslash{}\%\\ +\hline +Sex Offenses - Fondling (Indecent Liberties/Child Molest) & Total & 11,676 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Taken Into Custody & 112 & 50.22\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & On-View Arrest & 74 & 33.18\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Summoned/Cited & 37 & 16.59\textbackslash{}\%\\ +\hline +Sex Offenses - Incest & Total & 223 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Taken Into Custody & 4,737 & 51.46\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & On-View Arrest & 3,535 & 38.40\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Summoned/Cited & 933 & 10.14\textbackslash{}\%\\ +\hline +Sex Offenses - Rape & Total & 9,205 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Taken Into Custody & 433 & 50.64\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & On-View Arrest & 340 & 39.77\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Summoned/Cited & 82 & 9.59\textbackslash{}\%\\ +\hline +Sex Offenses - Sexual Assault With An Object & Total & 855 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Taken Into Custody & 1,299 & 55.99\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & On-View Arrest & 763 & 32.89\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Summoned/Cited & 258 & 11.12\textbackslash{}\%\\ +\hline +Sex Offenses - Sodomy & Total & 2,320 & 100\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Taken Into Custody & 723 & 47.13\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & On-View Arrest & 571 & 37.22\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Summoned/Cited & 240 & 15.65\textbackslash{}\%\\ +\hline +Sex Offenses - Statutory Rape & Total & 1,534 & 100\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & On-View Arrest & 34,906 & 60.51\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Taken Into Custody & 17,127 & 29.69\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Summoned/Cited & 5,650 & 9.79\textbackslash{}\%\\ +\hline +Stolen Property Offenses (Receiving, Selling, Etc.) & Total & 57,683 & 100\textbackslash{}\%\\ +\hline +Trespass of Real Property & On-View Arrest & 5,968 & 51.60\textbackslash{}\%\\ +\hline +Trespass of Real Property & Summoned/Cited & 2,944 & 25.45\textbackslash{}\%\\ +\hline +Trespass of Real Property & Taken Into Custody & 2,655 & 22.95\textbackslash{}\%\\ +\hline +Trespass of Real Property & Total & 11,567 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Taken Into Custody & 1 & 100.00\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Total & 1 & 100\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & On-View Arrest & 78,141 & 60.65\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Taken Into Custody & 36,091 & 28.01\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Summoned/Cited & 14,612 & 11.34\textbackslash{}\%\\ +\hline +Weapon Law Violations - Weapon Law Violations & Total & 128,844 & 100\textbackslash{}\%\\ +\hline +Commerce Violations - Federal Liquor Offenses & On-View Arrest & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & On-View Arrest & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & On-View Arrest & 0 & 0\textbackslash{}\%\\ +\hline +Weapon Law Violations - Explosives & Summoned/Cited & 0 & 0\textbackslash{}\%\\ +\hline +Commerce Violations - Wildlife Trafficking & Taken Into Custody & 0 & 0\textbackslash{}\%\\ +\hline +\end{longtable} @@ -27635,10 +11773,14 @@ Finally, people can get a "summoned/cited" arrest which is not really an arrest For juvenile arrestees - those under age 18 *at the time of the arrest* (and, by definition they would also be under age 18 during the incident) - there is some information about the outcome of the arrest.^[There are a few people older than 18 with this variable but it is so rare that I think that they are just incorrectly inputted ages.] There are two possible outcomes (which NIBRS calls "dispositions"): being referred to other (that is, other than the arresting agency) authorities or handled within the arresting agency. Figure \@ref(fig:arresteeJuvenileDisposition) shows this breakdown and being referred to other authorities is the most common outcome at 72.6% of juvenile arrests. This is a very broad category and the "other authorities" can range from juvenile or adult court (so the police recommend that they be prosecuted) to welfare agencies and being sent to other police agencies (such as if they committed a crime elsewhere and are being extradited). The other category, being handled within the department, means that the police release the juvenile without any formal action taken (but they may give the juvenile a warning). In these cases the juvenile is released to an adult (including but not limited to family members or guardians) and the case is essentially dropped. In about 0.001% of juvenile arrests the disposition is unknown.^[A juvenile can potentially get multiple dispositions, such as if they are initially released but later the police recommend them for prosecution. It is not clear which outcome is recorded in these cases. In UCR data, however, only the initial disposition is recorded so that is likely how it also is in NIBRS.] -
-For juvenile arrestees (under age 18), the distribution of case outcomes, 1991-2023. -

(\#fig:arresteeJuvenileDisposition)For juvenile arrestees (under age 18), the distribution of case outcomes, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/arresteeJuvenileDisposition-1} + +} + +\caption{For juvenile arrestees (under age 18), the distribution of case outcomes, 1991-2023.}(\#fig:arresteeJuvenileDisposition) +\end{figure} ## Demographics @@ -27654,10 +11796,14 @@ Figure \@ref(fig:arresteeResidenceStatus) shows the percent of arrestees in 2022 -
-Annual resident status (i.e. if they live in the arresting jurisdiction) of arrestees, 1991-2023. -

(\#fig:nibrsArresteeResidentStatus)Annual resident status (i.e. if they live in the arresting jurisdiction) of arrestees, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeResidentStatus-1} + +} + +\caption{Annual resident status (i.e. if they live in the arresting jurisdiction) of arrestees, 1991-2023.}(\#fig:nibrsArresteeResidentStatus) +\end{figure} ### Age @@ -27671,20 +11817,32 @@ Figure \@ref(fig:arresteeAge) shows the percent of arrestees at every age availa #> [1] 32 ``` -
-The age of all arrestees reported in the 2022 NIBRS data. -

(\#fig:arresteeAge)The age of all arrestees reported in the 2022 NIBRS data.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/arresteeAge-1} + +} + +\caption{The age of all arrestees reported in the 2022 NIBRS data.}(\#fig:arresteeAge) +\end{figure} -
-The mean and median age of arrestees, 1991-2023. -

(\#fig:nibrsArresteeAge)The mean and median age of arrestees, 1991-2023.

-
+\begin{figure} -
-The percent of arrestee's age that is unknown, 1991-2023. -

(\#fig:nibrsArresteeAgeMissing)The percent of arrestee's age that is unknown, 1991-2023.

-
+{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeAge-1} + +} + +\caption{The mean and median age of arrestees, 1991-2023.}(\#fig:nibrsArresteeAge) +\end{figure} + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeAgeMissing-1} + +} + +\caption{The percent of arrestee's age that is unknown, 1991-2023.}(\#fig:nibrsArresteeAgeMissing) +\end{figure} ### Sex @@ -27693,10 +11851,14 @@ We also know the sex of the arrestee. The only options for this variable are mal -
-The share of arrestees by sex, 1991-2023. -

(\#fig:nibrsArresteeSex)The share of arrestees by sex, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeSex-1} + +} + +\caption{The share of arrestees by sex, 1991-2023.}(\#fig:nibrsArresteeSex) +\end{figure} ### Race @@ -27706,10 +11868,14 @@ Figure \@ref(fig:arresteeRace) shows the breakdown for the races of each arreste -
-The share of arrestees by race, 1991-2023. -

(\#fig:nibrsArresteeRace)The share of arrestees by race, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeRace-1} + +} + +\caption{The share of arrestees by race, 1991-2023.}(\#fig:nibrsArresteeRace) +\end{figure} ### Ethnicity @@ -27721,10 +11887,14 @@ Figure \@ref(fig:arresteeEthnicity) shows the breakdown in arrests by arrestee e -
-The share of arrestees by ethnicity, 1991-2023. -

(\#fig:nibrsArresteeEthnicity)The share of arrestees by ethnicity, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{16_nibrs_arrestee_files/figure-latex/nibrsArresteeEthnicity-1} + +} + +\caption{The share of arrestees by ethnicity, 1991-2023.}(\#fig:nibrsArresteeEthnicity) +\end{figure} @@ -27749,10 +11919,14 @@ The next most common group, at 13.3%, is when the item was seized by the police. Next is "none" which only means that no property was stolen or damaged but that it could have been. For example, if someone tries to grab a person's purse but fails, that would be considered "none" since the purse was not actually taken. The remaining types are when the item was a counterfeit/forgery, at 1.2%, was burned (such as during an arson) at 0.2%, or when the type of loss is unknown at 0.2% -
-The type of loss or if the item is recovered, 2023. -

(\#fig:propertyTypeLoss)The type of loss or if the item is recovered, 2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{17_nibrs_property_files/figure-latex/propertyTypeLoss-1} + +} + +\caption{The type of loss or if the item is recovered, 2023.}(\#fig:propertyTypeLoss) +\end{figure} ## Description of property @@ -27765,503 +11939,157 @@ Table \@ref(tab:propertyStolenDescription) shows each of the 68 different types There are about 4.8 million rows in the Property Segment where the item was stolen (the other 3.1 million rows are about property that was seized by police, recovered, damaged, or one of the other types of property loss detailed in Section \@ref(propertyLoss)). As such, even items stolen very rarely can occur thousands or tens of thousands of times. For example, pets were the property stolen about 0.14% of the time and that tiny percent still accounts of 6,821 incidents with a pet stolen. Given the huge number of rows in this data - and as more agencies report to NIBRS this will grow quickly - it can be possible to study specific types of property, such as pets stolen, that would not be possible with a more narrow dataset (both in terms of how specific the items they include are, and the size of the data). - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:propertyStolenDescription)The number and percent of property stolen (including forcibly taken such as during a robbery) and property seized by police (excludes recovering property that was stolen), and recovered by police, 2023. Each incident can have multiple items stolen.
Property First Year # (%) of Property Stolen # (%) of Property Seized # (%) of Property Recovered
Other 1991 1,282,806 (15.79\%) 38,456 (2.54\%) 128,422 (10.64\%)
Money 1991 897,846 (11.05\%) 21,170 (1.40\%) 20,041 (1.66\%)
Automobile 1991 669,545 (8.24\%) 3,708 (0.24\%) 398,894 (33.06\%)
Clothes/Furs 1991 413,932 (5.10\%) 1,261 (0.08\%) 74,705 (6.19\%)
Vehicle Parts/Accessories 1991 406,893 (5.01\%) 2,023 (0.13\%) 36,507 (3.03\%)
Purses/Handbags/Wallets 1991 394,348 (4.86\%) 2,953 (0.19\%) 26,582 (2.20\%)
Merchandise 1991 348,664 (4.29\%) 444 (0.03\%) 105,031 (8.71\%)
Credit/Debit Cards 1991 334,601 (4.12\%) 1,881 (0.12\%) 17,232 (1.43\%)
Consumable Goods 1991 328,566 (4.05\%) 1,898 (0.13\%) 68,355 (5.67\%)
Tools - Power/Hand 1991 303,989 (3.74\%) 1,097 (0.07\%) 25,449 (2.11\%)
Portible Electronic Communications 2009 279,217 (3.44\%) 8,278 (0.55\%) 28,544 (2.37\%)
Identity Documents 2009 271,321 (3.34\%) 4,047 (0.27\%) 13,283 (1.10\%)
Household Goods 1991 227,841 (2.81\%) 1,206 (0.08\%) 30,413 (2.52\%)
Computer Hardware/Software 1991 198,248 (2.44\%) 1,456 (0.10\%) 13,005 (1.08\%)
Identity - Intangible 2009 170,718 (2.10\%) 220 (0.01\%) 2,130 (0.18\%)
Firearms 1991 163,339 (2.01\%) 16,915 (1.12\%) 23,384 (1.94\%)
Jewelry/Precious Metals/Gems 1991 148,039 (1.82\%) 335 (0.02\%) 11,568 (0.96\%)
Bicycles 1991 132,699 (1.63\%) 203 (0.01\%) 14,306 (1.19\%)
Radios/Tv/Vcr/Dvd Players 1991 129,190 (1.59\%) 427 (0.03\%) 9,027 (0.75\%)
Documents - Personal Or Business 2009 102,307 (1.26\%) 3,996 (0.26\%) 6,576 (0.55\%)
Alcohol 1991 95,581 (1.18\%) 1,416 (0.09\%) 13,489 (1.12\%)
Trucks 1991 91,891 (1.13\%) 262 (0.02\%) 51,915 (4.30\%)
Other Motor Vehicles 1991 62,001 (0.76\%) 280 (0.02\%) 22,072 (1.83\%)
Negotiable Instruments 1991 52,111 (0.64\%) 1,390 (0.09\%) 2,516 (0.21\%)
Office-Type Equipment 1991 51,959 (0.64\%) 1,944 (0.13\%) 5,129 (0.43\%)
Lawn/Yard/Garden Equipment 2009 47,029 (0.58\%) 17 (0.00\%) 3,978 (0.33\%)
Trailers 2009 42,657 (0.53\%) 44 (0.00\%) 9,277 (0.77\%)
Drugs/Narcotics 1991 42,073 (0.52\%) 973,582 (64.20\%) 1,708 (0.14\%)
Recreational/Sports Equipment 2009 41,355 (0.51\%) 70 (0.00\%) 4,269 (0.35\%)
Building Materials 2009 40,958 (0.50\%) 38 (0.00\%) 2,819 (0.23\%)
Photographic/Optical Equipment 2009 28,705 (0.35\%) 211 (0.01\%) 1,774 (0.15\%)
Camping/Hunting/Fishing Equipment/Supplies 2009 27,738 (0.34\%) 105 (0.01\%) 3,247 (0.27\%)
Nonnegotiable Instruments 1991 26,281 (0.32\%) 1,057 (0.07\%) 1,530 (0.13\%)
Heavy Construction/Industrial Equipment 1991 25,738 (0.32\%) 418 (0.03\%) 2,783 (0.23\%)
Fuel 2009 22,461 (0.28\%) 24 (0.00\%) 970 (0.08\%)
Collections/Collectibles 2009 20,624 (0.25\%) 55 (0.00\%) 2,408 (0.20\%)
Pending Inventory (Of Property) 1991 19,125 (0.24\%) 132 (0.01\%) 369 (0.03\%)
Recordings - Audio/Visual 1991 18,181 (0.22\%) 1,459 (0.10\%) 1,566 (0.13\%)
Metals, Non-Precious 2009 17,811 (0.22\%) 59 (0.00\%) 1,096 (0.09\%)
Firearm Accessories 2009 17,482 (0.22\%) 4,833 (0.32\%) 2,050 (0.17\%)
Weapons - Other 2009 17,472 (0.22\%) 2,823 (0.19\%) 2,073 (0.17\%)
Recreational Vehicles 1991 14,960 (0.18\%) 41 (0.00\%) 4,963 (0.41\%)
Medical/Medical Lab Equipment 2009 13,977 (0.17\%) 382 (0.03\%) 1,196 (0.10\%)
Musical Instruments 2009 12,467 (0.15\%) 14 (0.00\%) 998 (0.08\%)
Pets 2009 11,628 (0.14\%) 13 (0.00\%) 1,490 (0.12\%)
Farm Equipment 1991 8,355 (0.10\%) 78 (0.01\%) 1,096 (0.09\%)
Artistic Supplies/Accessories 2009 6,733 (0.08\%) 46 (0.00\%) 1,286 (0.11\%)
Chemicals 2009 5,881 (0.07\%) 146 (0.01\%) 899 (0.07\%)
Gambling Equipment 1991 4,598 (0.06\%) 682 (0.04\%) 351 (0.03\%)
Explosives 2010 4,458 (0.05\%) 1,370 (0.09\%) 410 (0.03\%)
Drug/Narcotic Equipment 1991 4,325 (0.05\%) 411,222 (27.12\%) 393 (0.03\%)
Watercraft 1991 3,831 (0.05\%) 7 (0.00\%) 765 (0.06\%)
Watercraft Equipment/Parts/Accessories 2009 2,933 (0.04\%) 3 (0.00\%) 248 (0.02\%)
Law Enforcement Equipment 2009 2,816 (0.03\%) 82 (0.01\%) 361 (0.03\%)
Livestock 1991 2,275 (0.03\%) 10 (0.00\%) 223 (0.02\%)
Logging Equipment 2009 1,504 (0.02\%) 1 (0.00\%) 114 (0.01\%)
Structures - Other 1991 1,351 (0.02\%) 28 (0.00\%) 107 (0.01\%)
Crops 2010 1,255 (0.02\%) 15 (0.00\%) 134 (0.01\%)
Buses 1991 1,197 (0.01\%) 4 (0.00\%) 672 (0.06\%)
Aircraft Parts/Accessories 2009 943 (0.01\%) 14 (0.00\%) 89 (0.01\%)
Structures - Single Occupancy Dwellings 1991 676 (0.01\%) 10 (0.00\%) 33 (0.00\%)
Structures - Storage 1991 564 (0.01\%) 16 (0.00\%) 54 (0.00\%)
Aircraft 1991 530 (0.01\%) 25 (0.00\%) 59 (0.00\%)
Structures - Other Commercial/Business 1991 442 (0.01\%) 6 (0.00\%) 28 (0.00\%)
Structures - Other Dwellings 1991 406 (0.00\%) 3 (0.00\%) 20 (0.00\%)
Special Category 1991 232 (0.00\%) 3 (0.00\%) 15 (0.00\%)
Structures - Industrial Manufacturing 1991 230 (0.00\%) 1 (0.00\%) 23 (0.00\%)
Structures - Public/Community 1991 179 (0.00\%) 3 (0.00\%) 19 (0.00\%)
Total - 8,122,088 (100\%) 1,516,418 (100\%) 1,206,538 (100\%)
+ +\begin{longtable}[t]{l|l|r|r|r} +\caption{(\#tab:propertyStolenDescription)The number and percent of property stolen (including forcibly taken such as during a robbery) and property seized by police (excludes recovering property that was stolen), and recovered by police, 2023. Each incident can have multiple items stolen.}\\ +\hline +Property & First Year & \# (\%) of Property Stolen & \# (\%) of Property Seized & \# (\%) of Property Recovered\\ +\hline +\endfirsthead +\caption[]{(\#tab:propertyStolenDescription)The number and percent of property stolen (including forcibly taken such as during a robbery) and property seized by police (excludes recovering property that was stolen), and recovered by police, 2023. Each incident can have multiple items stolen. \textit{(continued)}}\\ +\hline +Property & First Year & \# (\%) of Property Stolen & \# (\%) of Property Seized & \# (\%) of Property Recovered\\ +\hline +\endhead +Other & 1991 & 1,282,806 (15.79\textbackslash{}\%) & 38,456 (2.54\textbackslash{}\%) & 128,422 (10.64\textbackslash{}\%)\\ +\hline +Money & 1991 & 897,846 (11.05\textbackslash{}\%) & 21,170 (1.40\textbackslash{}\%) & 20,041 (1.66\textbackslash{}\%)\\ +\hline +Automobile & 1991 & 669,545 (8.24\textbackslash{}\%) & 3,708 (0.24\textbackslash{}\%) & 398,894 (33.06\textbackslash{}\%)\\ +\hline +Clothes/Furs & 1991 & 413,932 (5.10\textbackslash{}\%) & 1,261 (0.08\textbackslash{}\%) & 74,705 (6.19\textbackslash{}\%)\\ +\hline +Vehicle Parts/Accessories & 1991 & 406,893 (5.01\textbackslash{}\%) & 2,023 (0.13\textbackslash{}\%) & 36,507 (3.03\textbackslash{}\%)\\ +\hline +Purses/Handbags/Wallets & 1991 & 394,348 (4.86\textbackslash{}\%) & 2,953 (0.19\textbackslash{}\%) & 26,582 (2.20\textbackslash{}\%)\\ +\hline +Merchandise & 1991 & 348,664 (4.29\textbackslash{}\%) & 444 (0.03\textbackslash{}\%) & 105,031 (8.71\textbackslash{}\%)\\ +\hline +Credit/Debit Cards & 1991 & 334,601 (4.12\textbackslash{}\%) & 1,881 (0.12\textbackslash{}\%) & 17,232 (1.43\textbackslash{}\%)\\ +\hline +Consumable Goods & 1991 & 328,566 (4.05\textbackslash{}\%) & 1,898 (0.13\textbackslash{}\%) & 68,355 (5.67\textbackslash{}\%)\\ +\hline +Tools - Power/Hand & 1991 & 303,989 (3.74\textbackslash{}\%) & 1,097 (0.07\textbackslash{}\%) & 25,449 (2.11\textbackslash{}\%)\\ +\hline +Portible Electronic Communications & 2009 & 279,217 (3.44\textbackslash{}\%) & 8,278 (0.55\textbackslash{}\%) & 28,544 (2.37\textbackslash{}\%)\\ +\hline +Identity Documents & 2009 & 271,321 (3.34\textbackslash{}\%) & 4,047 (0.27\textbackslash{}\%) & 13,283 (1.10\textbackslash{}\%)\\ +\hline +Household Goods & 1991 & 227,841 (2.81\textbackslash{}\%) & 1,206 (0.08\textbackslash{}\%) & 30,413 (2.52\textbackslash{}\%)\\ +\hline +Computer Hardware/Software & 1991 & 198,248 (2.44\textbackslash{}\%) & 1,456 (0.10\textbackslash{}\%) & 13,005 (1.08\textbackslash{}\%)\\ +\hline +Identity - Intangible & 2009 & 170,718 (2.10\textbackslash{}\%) & 220 (0.01\textbackslash{}\%) & 2,130 (0.18\textbackslash{}\%)\\ +\hline +Firearms & 1991 & 163,339 (2.01\textbackslash{}\%) & 16,915 (1.12\textbackslash{}\%) & 23,384 (1.94\textbackslash{}\%)\\ +\hline +Jewelry/Precious Metals/Gems & 1991 & 148,039 (1.82\textbackslash{}\%) & 335 (0.02\textbackslash{}\%) & 11,568 (0.96\textbackslash{}\%)\\ +\hline +Bicycles & 1991 & 132,699 (1.63\textbackslash{}\%) & 203 (0.01\textbackslash{}\%) & 14,306 (1.19\textbackslash{}\%)\\ +\hline +Radios/Tv/Vcr/Dvd Players & 1991 & 129,190 (1.59\textbackslash{}\%) & 427 (0.03\textbackslash{}\%) & 9,027 (0.75\textbackslash{}\%)\\ +\hline +Documents - Personal Or Business & 2009 & 102,307 (1.26\textbackslash{}\%) & 3,996 (0.26\textbackslash{}\%) & 6,576 (0.55\textbackslash{}\%)\\ +\hline +Alcohol & 1991 & 95,581 (1.18\textbackslash{}\%) & 1,416 (0.09\textbackslash{}\%) & 13,489 (1.12\textbackslash{}\%)\\ +\hline +Trucks & 1991 & 91,891 (1.13\textbackslash{}\%) & 262 (0.02\textbackslash{}\%) & 51,915 (4.30\textbackslash{}\%)\\ +\hline +Other Motor Vehicles & 1991 & 62,001 (0.76\textbackslash{}\%) & 280 (0.02\textbackslash{}\%) & 22,072 (1.83\textbackslash{}\%)\\ +\hline +Negotiable Instruments & 1991 & 52,111 (0.64\textbackslash{}\%) & 1,390 (0.09\textbackslash{}\%) & 2,516 (0.21\textbackslash{}\%)\\ +\hline +Office-Type Equipment & 1991 & 51,959 (0.64\textbackslash{}\%) & 1,944 (0.13\textbackslash{}\%) & 5,129 (0.43\textbackslash{}\%)\\ +\hline +Lawn/Yard/Garden Equipment & 2009 & 47,029 (0.58\textbackslash{}\%) & 17 (0.00\textbackslash{}\%) & 3,978 (0.33\textbackslash{}\%)\\ +\hline +Trailers & 2009 & 42,657 (0.53\textbackslash{}\%) & 44 (0.00\textbackslash{}\%) & 9,277 (0.77\textbackslash{}\%)\\ +\hline +Drugs/Narcotics & 1991 & 42,073 (0.52\textbackslash{}\%) & 973,582 (64.20\textbackslash{}\%) & 1,708 (0.14\textbackslash{}\%)\\ +\hline +Recreational/Sports Equipment & 2009 & 41,355 (0.51\textbackslash{}\%) & 70 (0.00\textbackslash{}\%) & 4,269 (0.35\textbackslash{}\%)\\ +\hline +Building Materials & 2009 & 40,958 (0.50\textbackslash{}\%) & 38 (0.00\textbackslash{}\%) & 2,819 (0.23\textbackslash{}\%)\\ +\hline +Photographic/Optical Equipment & 2009 & 28,705 (0.35\textbackslash{}\%) & 211 (0.01\textbackslash{}\%) & 1,774 (0.15\textbackslash{}\%)\\ +\hline +Camping/Hunting/Fishing Equipment/Supplies & 2009 & 27,738 (0.34\textbackslash{}\%) & 105 (0.01\textbackslash{}\%) & 3,247 (0.27\textbackslash{}\%)\\ +\hline +Nonnegotiable Instruments & 1991 & 26,281 (0.32\textbackslash{}\%) & 1,057 (0.07\textbackslash{}\%) & 1,530 (0.13\textbackslash{}\%)\\ +\hline +Heavy Construction/Industrial Equipment & 1991 & 25,738 (0.32\textbackslash{}\%) & 418 (0.03\textbackslash{}\%) & 2,783 (0.23\textbackslash{}\%)\\ +\hline +Fuel & 2009 & 22,461 (0.28\textbackslash{}\%) & 24 (0.00\textbackslash{}\%) & 970 (0.08\textbackslash{}\%)\\ +\hline +Collections/Collectibles & 2009 & 20,624 (0.25\textbackslash{}\%) & 55 (0.00\textbackslash{}\%) & 2,408 (0.20\textbackslash{}\%)\\ +\hline +Pending Inventory (Of Property) & 1991 & 19,125 (0.24\textbackslash{}\%) & 132 (0.01\textbackslash{}\%) & 369 (0.03\textbackslash{}\%)\\ +\hline +Recordings - Audio/Visual & 1991 & 18,181 (0.22\textbackslash{}\%) & 1,459 (0.10\textbackslash{}\%) & 1,566 (0.13\textbackslash{}\%)\\ +\hline +Metals, Non-Precious & 2009 & 17,811 (0.22\textbackslash{}\%) & 59 (0.00\textbackslash{}\%) & 1,096 (0.09\textbackslash{}\%)\\ +\hline +Firearm Accessories & 2009 & 17,482 (0.22\textbackslash{}\%) & 4,833 (0.32\textbackslash{}\%) & 2,050 (0.17\textbackslash{}\%)\\ +\hline +Weapons - Other & 2009 & 17,472 (0.22\textbackslash{}\%) & 2,823 (0.19\textbackslash{}\%) & 2,073 (0.17\textbackslash{}\%)\\ +\hline +Recreational Vehicles & 1991 & 14,960 (0.18\textbackslash{}\%) & 41 (0.00\textbackslash{}\%) & 4,963 (0.41\textbackslash{}\%)\\ +\hline +Medical/Medical Lab Equipment & 2009 & 13,977 (0.17\textbackslash{}\%) & 382 (0.03\textbackslash{}\%) & 1,196 (0.10\textbackslash{}\%)\\ +\hline +Musical Instruments & 2009 & 12,467 (0.15\textbackslash{}\%) & 14 (0.00\textbackslash{}\%) & 998 (0.08\textbackslash{}\%)\\ +\hline +Pets & 2009 & 11,628 (0.14\textbackslash{}\%) & 13 (0.00\textbackslash{}\%) & 1,490 (0.12\textbackslash{}\%)\\ +\hline +Farm Equipment & 1991 & 8,355 (0.10\textbackslash{}\%) & 78 (0.01\textbackslash{}\%) & 1,096 (0.09\textbackslash{}\%)\\ +\hline +Artistic Supplies/Accessories & 2009 & 6,733 (0.08\textbackslash{}\%) & 46 (0.00\textbackslash{}\%) & 1,286 (0.11\textbackslash{}\%)\\ +\hline +Chemicals & 2009 & 5,881 (0.07\textbackslash{}\%) & 146 (0.01\textbackslash{}\%) & 899 (0.07\textbackslash{}\%)\\ +\hline +Gambling Equipment & 1991 & 4,598 (0.06\textbackslash{}\%) & 682 (0.04\textbackslash{}\%) & 351 (0.03\textbackslash{}\%)\\ +\hline +Explosives & 2010 & 4,458 (0.05\textbackslash{}\%) & 1,370 (0.09\textbackslash{}\%) & 410 (0.03\textbackslash{}\%)\\ +\hline +Drug/Narcotic Equipment & 1991 & 4,325 (0.05\textbackslash{}\%) & 411,222 (27.12\textbackslash{}\%) & 393 (0.03\textbackslash{}\%)\\ +\hline +Watercraft & 1991 & 3,831 (0.05\textbackslash{}\%) & 7 (0.00\textbackslash{}\%) & 765 (0.06\textbackslash{}\%)\\ +\hline +Watercraft Equipment/Parts/Accessories & 2009 & 2,933 (0.04\textbackslash{}\%) & 3 (0.00\textbackslash{}\%) & 248 (0.02\textbackslash{}\%)\\ +\hline +Law Enforcement Equipment & 2009 & 2,816 (0.03\textbackslash{}\%) & 82 (0.01\textbackslash{}\%) & 361 (0.03\textbackslash{}\%)\\ +\hline +Livestock & 1991 & 2,275 (0.03\textbackslash{}\%) & 10 (0.00\textbackslash{}\%) & 223 (0.02\textbackslash{}\%)\\ +\hline +Logging Equipment & 2009 & 1,504 (0.02\textbackslash{}\%) & 1 (0.00\textbackslash{}\%) & 114 (0.01\textbackslash{}\%)\\ +\hline +Structures - Other & 1991 & 1,351 (0.02\textbackslash{}\%) & 28 (0.00\textbackslash{}\%) & 107 (0.01\textbackslash{}\%)\\ +\hline +Crops & 2010 & 1,255 (0.02\textbackslash{}\%) & 15 (0.00\textbackslash{}\%) & 134 (0.01\textbackslash{}\%)\\ +\hline +Buses & 1991 & 1,197 (0.01\textbackslash{}\%) & 4 (0.00\textbackslash{}\%) & 672 (0.06\textbackslash{}\%)\\ +\hline +Aircraft Parts/Accessories & 2009 & 943 (0.01\textbackslash{}\%) & 14 (0.00\textbackslash{}\%) & 89 (0.01\textbackslash{}\%)\\ +\hline +Structures - Single Occupancy Dwellings & 1991 & 676 (0.01\textbackslash{}\%) & 10 (0.00\textbackslash{}\%) & 33 (0.00\textbackslash{}\%)\\ +\hline +Structures - Storage & 1991 & 564 (0.01\textbackslash{}\%) & 16 (0.00\textbackslash{}\%) & 54 (0.00\textbackslash{}\%)\\ +\hline +Aircraft & 1991 & 530 (0.01\textbackslash{}\%) & 25 (0.00\textbackslash{}\%) & 59 (0.00\textbackslash{}\%)\\ +\hline +Structures - Other Commercial/Business & 1991 & 442 (0.01\textbackslash{}\%) & 6 (0.00\textbackslash{}\%) & 28 (0.00\textbackslash{}\%)\\ +\hline +Structures - Other Dwellings & 1991 & 406 (0.00\textbackslash{}\%) & 3 (0.00\textbackslash{}\%) & 20 (0.00\textbackslash{}\%)\\ +\hline +Special Category & 1991 & 232 (0.00\textbackslash{}\%) & 3 (0.00\textbackslash{}\%) & 15 (0.00\textbackslash{}\%)\\ +\hline +Structures - Industrial Manufacturing & 1991 & 230 (0.00\textbackslash{}\%) & 1 (0.00\textbackslash{}\%) & 23 (0.00\textbackslash{}\%)\\ +\hline +Structures - Public/Community & 1991 & 179 (0.00\textbackslash{}\%) & 3 (0.00\textbackslash{}\%) & 19 (0.00\textbackslash{}\%)\\ +\hline +Total & - & 8,122,088 (100\textbackslash{}\%) & 1,516,418 (100\textbackslash{}\%) & 1,206,538 (100\textbackslash{}\%)\\ +\hline +\end{longtable} @@ -28276,331 +12104,105 @@ The police can take the victim's estimation into consideration but are not suppo We can use this variable to look at the value of items lost by the victim. Figure \@ref(fig:propertyValuePropertyLevel) looks at the value per item stolen in a crime (if incidents have multiple items stolen, this counts them all separately). This includes items lost by theft, robbery, and burglary so is part of the "Stolen/Robbed/Etc." category of types of property loss. It excludes items damaged or destroyed or burned (there is information about the value of property in these incidents but these are not shown in the figure). To make this graph a bit simpler I have rounded all values to the nearest \$100 so items valued at \$0 mean that they are worth between \$1 and \$50. -
-The distribution of the value of property stolen. Each value is rounded to the nearest 100. The x-axis is set on the log scale as this distribution is hugely skewed. Values over 1,0000,00 are set to 1,000,000. -

(\#fig:propertyValuePropertyLevel)The distribution of the value of property stolen. Each value is rounded to the nearest 100. The x-axis is set on the log scale as this distribution is hugely skewed. Values over 1,0000,00 are set to 1,000,000.

-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:nibrsPropertyStolenValue)Annual mean, median, and maximum values (in dollars) of property stolen and recovered, 1991-2023.
Year Mean Value Stolen Median Value Stolen Max Value Stolen Mean Value Recovered Median Value Recovered Max Value Recovered
1991 1,051 150 15,016,780 1,727 125 12,000,000
1992 3,242 148 580,000,682 1,414 100 1,790,000
1993 14,701 129 900,000,000 23,215 95 900,000,000
1994 41,258 129 999,999,999 64,414 85 999,999,999
1995 2,074 134 450,000,000 6,196 81 450,000,000
1996 2,560 147 800,000,085 1,750 85 3,500,000
1997 1,640 135 450,000,000 1,830 92 1,300,000
1998 1,898 146 480,000,000 1,978 100 1,000,000
1999 1,791 150 245,000,120 2,621 100 100,000,000
2000 1,252 150 100,001,280 2,379 124 838,466
2001 8,128 143 890,000,000 4,397 125 500,000,001
2002 1,742 150 300,000,000 3,438 125 300,000,000
2003 1,814 140 400,000,000 2,384 119 7,501,000
2004 1,833 130 939,000,000 4,918 120 939,000,000
2005 2,164 150 575,152,425 3,687 150 298,000,001
2006 1,315 150 100,003,300 2,656 174 5,726,400
2007 1,850 150 950,000,000 2,650 150 100,000,000
2008 3,031 150 999,999,999 4,434 120 999,999,999
2009 1,179 155 100,000,000 1,719 100 5,000,000
2010 1,150 170 10,000,000 1,606 100 2,199,999
2011 1,462 180 999,999,999 1,516 100 2,001,850
2012 1,222 175 100,000,000 1,554 103 18,805,960
2013 1,792 168 950,000,000 1,788 108 100,000,020
2014 1,271 150 100,000,350 1,667 109 1,800,000
2015 1,257 150 20,000,000 1,867 115 2,500,000
2016 2,063 150 999,999,999 2,199 150 4,000,000
2017 1,581 150 361,000,000 2,526 164 5,000,000
2018 2,298 150 999,999,999 2,936 178 24,000,000
2019 13,226 150 999,999,999 13,121 179 999,999,999
2020 243,308 174 999,999,999 149,418 249 999,999,999
2021 280,898 205 999,999,999 242,885 400 999,999,999
2022 23,306 250 999,999,999 46,453 489 999,999,998
2023 42,640 250 999,999,999 52,336 500 999,999,999
- - - -
-Annual percent of the value of all property stolen that is made up of the value that is the maximum dollar amount reported in that year, 1991-2023. -

(\#fig:nibrsPropertyMaxValuePercent)Annual percent of the value of all property stolen that is made up of the value that is the maximum dollar amount reported in that year, 1991-2023.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{17_nibrs_property_files/figure-latex/propertyValuePropertyLevel-1} + +} + +\caption{The distribution of the value of property stolen. Each value is rounded to the nearest 100. The x-axis is set on the log scale as this distribution is hugely skewed. Values over 1,0000,00 are set to 1,000,000.}(\#fig:propertyValuePropertyLevel) +\end{figure} + + +\begin{longtable}[t]{l|r|r|l|r|r|l} +\caption{(\#tab:nibrsPropertyStolenValue)Annual mean, median, and maximum values (in dollars) of property stolen and recovered, 1991-2023.}\\ +\hline +Year & Mean Value Stolen & Median Value Stolen & Max Value Stolen & Mean Value Recovered & Median Value Recovered & Max Value Recovered\\ +\hline +\endfirsthead +\caption[]{(\#tab:nibrsPropertyStolenValue)Annual mean, median, and maximum values (in dollars) of property stolen and recovered, 1991-2023. \textit{(continued)}}\\ +\hline +Year & Mean Value Stolen & Median Value Stolen & Max Value Stolen & Mean Value Recovered & Median Value Recovered & Max Value Recovered\\ +\hline +\endhead +1991 & 1,051 & 150 & 15,016,780 & 1,727 & 125 & 12,000,000\\ +\hline +1992 & 3,242 & 148 & 580,000,682 & 1,414 & 100 & 1,790,000\\ +\hline +1993 & 14,701 & 129 & 900,000,000 & 23,215 & 95 & 900,000,000\\ +\hline +1994 & 41,258 & 129 & 999,999,999 & 64,414 & 85 & 999,999,999\\ +\hline +1995 & 2,074 & 134 & 450,000,000 & 6,196 & 81 & 450,000,000\\ +\hline +1996 & 2,560 & 147 & 800,000,085 & 1,750 & 85 & 3,500,000\\ +\hline +1997 & 1,640 & 135 & 450,000,000 & 1,830 & 92 & 1,300,000\\ +\hline +1998 & 1,898 & 146 & 480,000,000 & 1,978 & 100 & 1,000,000\\ +\hline +1999 & 1,791 & 150 & 245,000,120 & 2,621 & 100 & 100,000,000\\ +\hline +2000 & 1,252 & 150 & 100,001,280 & 2,379 & 124 & 838,466\\ +\hline +2001 & 8,128 & 143 & 890,000,000 & 4,397 & 125 & 500,000,001\\ +\hline +2002 & 1,742 & 150 & 300,000,000 & 3,438 & 125 & 300,000,000\\ +\hline +2003 & 1,814 & 140 & 400,000,000 & 2,384 & 119 & 7,501,000\\ +\hline +2004 & 1,833 & 130 & 939,000,000 & 4,918 & 120 & 939,000,000\\ +\hline +2005 & 2,164 & 150 & 575,152,425 & 3,687 & 150 & 298,000,001\\ +\hline +2006 & 1,315 & 150 & 100,003,300 & 2,656 & 174 & 5,726,400\\ +\hline +2007 & 1,850 & 150 & 950,000,000 & 2,650 & 150 & 100,000,000\\ +\hline +2008 & 3,031 & 150 & 999,999,999 & 4,434 & 120 & 999,999,999\\ +\hline +2009 & 1,179 & 155 & 100,000,000 & 1,719 & 100 & 5,000,000\\ +\hline +2010 & 1,150 & 170 & 10,000,000 & 1,606 & 100 & 2,199,999\\ +\hline +2011 & 1,462 & 180 & 999,999,999 & 1,516 & 100 & 2,001,850\\ +\hline +2012 & 1,222 & 175 & 100,000,000 & 1,554 & 103 & 18,805,960\\ +\hline +2013 & 1,792 & 168 & 950,000,000 & 1,788 & 108 & 100,000,020\\ +\hline +2014 & 1,271 & 150 & 100,000,350 & 1,667 & 109 & 1,800,000\\ +\hline +2015 & 1,257 & 150 & 20,000,000 & 1,867 & 115 & 2,500,000\\ +\hline +2016 & 2,063 & 150 & 999,999,999 & 2,199 & 150 & 4,000,000\\ +\hline +2017 & 1,581 & 150 & 361,000,000 & 2,526 & 164 & 5,000,000\\ +\hline +2018 & 2,298 & 150 & 999,999,999 & 2,936 & 178 & 24,000,000\\ +\hline +2019 & 13,226 & 150 & 999,999,999 & 13,121 & 179 & 999,999,999\\ +\hline +2020 & 243,308 & 174 & 999,999,999 & 149,418 & 249 & 999,999,999\\ +\hline +2021 & 280,898 & 205 & 999,999,999 & 242,885 & 400 & 999,999,999\\ +\hline +2022 & 23,306 & 250 & 999,999,999 & 46,453 & 489 & 999,999,998\\ +\hline +2023 & 42,640 & 250 & 999,999,999 & 52,336 & 500 & 999,999,999\\ +\hline +\end{longtable} + + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{17_nibrs_property_files/figure-latex/nibrsPropertyMaxValuePercent-1} + +} + +\caption{Annual percent of the value of all property stolen that is made up of the value that is the maximum dollar amount reported in that year, 1991-2023.}(\#fig:nibrsPropertyMaxValuePercent) +\end{figure} ## Date property was recovered @@ -28608,10 +12210,14 @@ This segment tells us both when the incident happened and, for stolen property, The majority - 60.8% - of property lost is recovered on the same day, which is shown as zero days. We saw in Figure \@ref(fig:arrestsDaysUntilArrest) that the vast majority of arrests happen on the same day as the incident so it makes sense the most property would too.^[I would expect most property to be recovered on the arrestee's body.] A smaller and smaller share of property is recovered as the number of days from the incident increase, a trend also found in the time to arrest graph. The lesson here seems to be that if you are a victim of a crime and had something taken, unless it is recovered very quickly it is unlikely to be recovered at all. -
-The distribution of the number of days from the incident to the property recovered date. Zero days means that the arrest occurred on the same day as the incident. -

(\#fig:propertyDaysUntilRecovered)The distribution of the number of days from the incident to the property recovered date. Zero days means that the arrest occurred on the same day as the incident.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{17_nibrs_property_files/figure-latex/propertyDaysUntilRecovered-1} + +} + +\caption{The distribution of the number of days from the incident to the property recovered date. Zero days means that the arrest occurred on the same day as the incident.}(\#fig:propertyDaysUntilRecovered) +\end{figure} ## Drugs @@ -28643,135 +12249,67 @@ The drugs in NIBRS are the "suspected drug types" which means that they are what Not too surprising, marijuana is the most common drug seized at 47% - or 455k incidents with it seized - of the data. This is followed by amphetamines/methamphetamines (including what we'd normally just call meth) at 20.7% and then heroin at 8.5%. Interestingly, cocaine and crack cocaine (which are always separate categories) both occur in 5.09% of drugs seized. Given the large disparity in sentences for these types of drugs, and that "crack wars" were a major purported cause of violent crime in the 1980s and 1990s, I expected crack cocaine to be much more common than normal cocaine. The remaining drug types are all less than 5% of drugs seized each and has some groupings of drug types (e.g. stimulants) rather than specific drug types (though some of these categories, such as LSD, are specific drugs). - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
(\#tab:propertyDrugs)The number and percent of drugs seized by police by type of drug, for all drugs seized in 2022.
Drug Type First Year \# of Drugs \% of Drugs
Marijuana 1991 525,007 39.59\%
Amphetamines/Methamphetamines 1991 328,267 24.76\%
Other Narcotics 1991 106,271 8.01\%
Cocaine (All Forms Except Crack) 1991 87,404 6.59\%
Crack Cocaine 1991 76,357 5.76\%
Other Drugs 1991 60,096 4.53\%
Heroin 1991 52,198 3.94\%
Unknown Type Drug 1991 37,221 2.81\%
Opium 1992 15,450 1.17\%
Other Hallucinogens 1991 11,965 0.90\%
Other Depressants 1991 7,889 0.59\%
Hashish 1991 7,112 0.54\%
Other Stimulants 1991 4,923 0.37\%
PCP 1993 1,671 0.13\%
Barbiturates 1991 1,507 0.11\%
LSD 1991 1,349 0.10\%
Morphine 1992 1,278 0.10\%
Total - 1,325,965 100\%
- - - - -
-Annual percent of drug seizures by drug type, for the 1st drug reported, 1991-2023. -

(\#fig:nibrsPropertyDrugType)Annual percent of drug seizures by drug type, for the 1st drug reported, 1991-2023.

-
+ +\begin{longtable}[t]{l|r|r|l} +\caption{(\#tab:propertyDrugs)The number and percent of drugs seized by police by type of drug, for all drugs seized in 2022.}\\ +\hline +Drug Type & First Year & \textbackslash{}\# of Drugs & \textbackslash{}\% of Drugs\\ +\hline +\endfirsthead +\caption[]{(\#tab:propertyDrugs)The number and percent of drugs seized by police by type of drug, for all drugs seized in 2022. \textit{(continued)}}\\ +\hline +Drug Type & First Year & \textbackslash{}\# of Drugs & \textbackslash{}\% of Drugs\\ +\hline +\endhead +Marijuana & 1991 & 525,007 & 39.59\textbackslash{}\%\\ +\hline +Amphetamines/Methamphetamines & 1991 & 328,267 & 24.76\textbackslash{}\%\\ +\hline +Other Narcotics & 1991 & 106,271 & 8.01\textbackslash{}\%\\ +\hline +Cocaine (All Forms Except Crack) & 1991 & 87,404 & 6.59\textbackslash{}\%\\ +\hline +Crack Cocaine & 1991 & 76,357 & 5.76\textbackslash{}\%\\ +\hline +Other Drugs & 1991 & 60,096 & 4.53\textbackslash{}\%\\ +\hline +Heroin & 1991 & 52,198 & 3.94\textbackslash{}\%\\ +\hline +Unknown Type Drug & 1991 & 37,221 & 2.81\textbackslash{}\%\\ +\hline +Opium & 1992 & 15,450 & 1.17\textbackslash{}\%\\ +\hline +Other Hallucinogens & 1991 & 11,965 & 0.90\textbackslash{}\%\\ +\hline +Other Depressants & 1991 & 7,889 & 0.59\textbackslash{}\%\\ +\hline +Hashish & 1991 & 7,112 & 0.54\textbackslash{}\%\\ +\hline +Other Stimulants & 1991 & 4,923 & 0.37\textbackslash{}\%\\ +\hline +PCP & 1993 & 1,671 & 0.13\textbackslash{}\%\\ +\hline +Barbiturates & 1991 & 1,507 & 0.11\textbackslash{}\%\\ +\hline +LSD & 1991 & 1,349 & 0.10\textbackslash{}\%\\ +\hline +Morphine & 1992 & 1,278 & 0.10\textbackslash{}\%\\ +\hline +Total & - & 1,325,965 & 100\textbackslash{}\%\\ +\hline +\end{longtable} + + + + +\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{17_nibrs_property_files/figure-latex/nibrsPropertyDrugType-1} + +} + +\caption{Annual percent of drug seizures by drug type, for the 1st drug reported, 1991-2023.}(\#fig:nibrsPropertyDrugType) +\end{figure} ### Amount of drugs @@ -28792,17 +12330,21 @@ Once you know the units you can look at the amount of drugs seized. The amount i So with those caveats, we can see what amounts of marijuana, measured in grams, are most frequently seized. Generally, the amount of marijuana seized is in small amounts with 22.5% being 1-2 grams (since we do not include the parts of a gram we can only say that it is 1 to 1.999 grams) and 18.6% being less than one gram. As the amount of drugs increase, the percent of seizures that involve this number of drugs decreases. It's a bit curious that they include grams for values over 28 since 28.3495 grams is one ounce so it would make sense to just start reporting in units of ounces instead of just increasingly large number of grams. -
-For drugs seized that are measured in grams, this figure shows the distribution in the number of grams seized. Values over 10 grams are grouped together for easier interpretation of lower values of drugs seized. -

(\#fig:propertyMarijuanaGramMeasures)For drugs seized that are measured in grams, this figure shows the distribution in the number of grams seized. Values over 10 grams are grouped together for easier interpretation of lower values of drugs seized.

-
+\begin{figure} + +{\centering \includegraphics[width=1\linewidth,height=1\textheight]{17_nibrs_property_files/figure-latex/propertyMarijuanaGramMeasures-1} + +} + +\caption{For drugs seized that are measured in grams, this figure shows the distribution in the number of grams seized. Values over 10 grams are grouped together for easier interpretation of lower values of drugs seized.}(\#fig:propertyMarijuanaGramMeasures) +\end{figure} \backmatter -# References {-} + diff --git a/ucrbook.rds b/ucrbook.rds index 83a3411..d7677f0 100644 Binary files a/ucrbook.rds and b/ucrbook.rds differ