In 2023, the arrest rate in South Dakota was ******** arrests per 100,000 inhabitants, the highest of any state. Kentucky, North Dakota, Arkansas, and Wyoming rounded out the top five states with the highest arrest rates in that year.

This dataset provides arrest data reported for each state for 2015. The table provides both total arrests and arrests of juveniles (persons under the age of 18). These data represent the number of persons arrested; however, some persons may be arrested more than once during a year. Therefore, the statistics in this table could, in some cases, represent multiple arrests of the same person.

In 2023, the arrest rate in the United States was 2,232.1 arrests per 100,000 of the population. This is a slight increase from the previous year, when the arrest rate was 2,181.7 arrests per 100,000 of the population.

These data on 19th- and early 20th-century police department and arrest behavior were collected between 1975 and 1978 for a study of police and crime in the United States. Raw and aggregated time-series data are presented in Parts 1 and 3 on 23 American cities for most years during the period 1860-1920. The data were drawn from annual reports of police departments found in the Library of Congress or in newspapers and legislative reports located elsewhere. Variables in Part 1, for which the city is the unit of analysis, include arrests for drunkenness, conditional offenses and homicides, persons dismissed or held, police personnel, and population. Part 3 aggregates the data by year and reports some of these variables on a per capita basis, using a linear interpolation from the last decennial census to estimate population. Part 2 contains data for 267 United States cities for the period 1880-1890 and was generated from the 1880 federal census volume, REPORT ON THE DEFECTIVE, DEPENDENT, AND DELINQUENT CLASSES, published in 1888, and from the 1890 federal census volume, SOCIAL STATISTICS OF CITIES. Information includes police personnel and expenditures, arrests, persons held overnight, trains entering town, and population.

The data contain records of arrests and bookings for federal offenses in the United States during fiscal year 2016. The data were constructed from the United States Marshals Service (USMS) Prisoner Tracking System database. Records include arrests made by federal law enforcement agencies (including the USMS), state and local agencies, and self-surrenders. Offenders arrested for federal offenses are transferred to the custody of the USMS for processing, transportation, and detention. The Prisoner Tracking System contains data on all offenders within the custody of the USMS. The data file contains variables from the original USMS files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt and the Bureau of Justice Statistics. Data and documentation were prepared by Abt.

There were over 7.55 million arrests for all offenses in the United States in 2023. This figure is a decrease from 1990 levels, when the number of arrests was over 14.1 million. Arrest rate in the U.S. Along with the declining number of arrests, the arrest rate for all offenses in the United States has also decreased since 1990, from 5691.6 arrests per 100,000 of the population down to 2232.1 per 100,000 in 2023. Additionally, South Dakota had the highest arrest rate in the country in 2023 while Massachusetts had the lowest. High numbers of arrests and unsolved crimes A high number of arrests does not necessarily correlate to a high number of solved cases, and in the U.S., many cases remain unsolved. The crime clearance rate, or rate of closed cases, was less than half for violent crimes in the U.S., and less than 20 percent for property crimes.

In 2019, the robbery arrest rate for persons under age ** in Illinois stood at ***. Arrest rate is defined as the number of arrests of persons under age ** for every 100,000 persons aged 10 - 17 years old.

Easy Access to FBI Arrest Statistics: 1994-2014

This collection focuses on how changes in the legal drinking age affect the number of fatal motor vehicle accidents and crime rates. The principal investigators identified three areas of study. First, they looked at blood alcohol content of drivers involved in fatal accidents in relation to changes in the drinking age. Second, they looked at how arrest rates correlated with changes in the drinking age. Finally, they looked at the relationship between blood alcohol content and arrest rates. In this context, the investigators used the percentage of drivers killed in fatal automobile accidents who had positive blood alcohol content as an indicator of drinking in the population. Arrests were used as a measure of crime, and arrest rates per capita were used to create comparability across states and over time. Arrests for certain crimes as a proportion of all arrests were used for other analyses to compensate for trends that affect the probability of arrests in general. This collection contains three parts. Variables in the Federal Bureau of Investigation Crime Data file (Part 1) include the state and year to which the data apply, the type of crime, and the sex and age category of those arrested for crimes. A single arrest is the unit of analysis for this file. Information in the Population Data file (Part 2) includes population counts for the number of individuals within each of seven age categories, as well as the number in the total population. There is also a figure for the number of individuals covered by the reporting police agencies from which data were gathered. The individual is the unit of analysis. The Fatal Accident Data file (Part 3) includes six variables: the FIPS code for the state, year of accident, and the sex, age group, and blood alcohol content of the individual killed. The final variable in each record is a count of the number of drivers killed in fatal motor vehicle accidents for that state and year who fit into the given sex, age, and blood alcohol content grouping. A driver killed in a fatal accident is the unit of analysis.

In 2020, the drug abuse arrest rate for persons under age 18 in Wyoming stood at ***, the most out of any state. The national average stood at *** in that same year. The arrest rate is defined as the number of arrests of persons under age 18 for every 100,000 persons aged 10 to 17.

In 2019, the larceny arrest rate for persons under age ** in Alabama stood at ***. Arrest rate is defined as the number of arrests of persons under age ** for every 100,000 persons aged 10 - 17 years old.

The data contain records of arrests made by agents of the Drug Enforcement Administration (DEA) during fiscal year 1998. The data were constructed from the DEA Defendant Statistical System file, and include only those arrests made within the United States

This data represents arrests of adults made by law enforcement, based on the FBI’s UCR Program Data Collections for the Summary Reporting System (SRS). Historical data is available from 4/1/2006 to 9/30/2018, when the agency transitioned to the National Incident-Based Reporting System (NIBRS). While the data collected is similar, it is not comparable across reporting systems. Note: the age of adult criminal responsibility was 16 years old during this timeframe. Available fields include:Arrest Number – Unique identifier of the arrest.Case Number – Unique numerical identifier of the case, which can be joined to the calls for service and incident datasets.Name ID – Unique numerical identifier of the person arrested.Race – The race of the person arrested.Ethnicity – The ethnicity of the person arrested.Sex – The gender of the person arrested.Age – The age of the person arrested.Arrest Date – The date of the arrest.Arrest Time – The time of the arrest.Arrest Type – The type of arrest. Criminal summons and citations are non-custodial.Sequence – This is the sequence by order of severity based on the FBI’s UCR hierarchy, not North Carolina General Statutes.UCR Code – The FBI’s numerical identifier for the type of crime committed.Statute – The codified charge, usually by either the North Carolina General Statute or City Ordinance.Description – The description of the codified charge in the statute.F/M – Designation of whether the crime was a felony or misdemeanor.Counts – A multiplier of the number of counts for the same crime charged.Location of Arrest – The block number and street or intersection of the arrest.X – Mapping coordinate of the arrest, projected as NC State Plane (feet).Y – Mapping coordinate of the arrest, projected as NC State Plane (feet).District – The patrol district where the arrest occurred.Beat – The patrol beat where the arrest occurred, which is a sub-division of the district.

This table provides the number of persons arrested nationwide in 2015. These data are broken down by age of the arrestee and include the percent distribution of arrests by offense type. These data represent the number of persons arrested; however, some persons may be arrested more than once during a year. Therefore, the statistics in this table could, in some cases, represent multiple arrests of the same person.

These data provide information on the number of arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program each year by police agencies in the United States. These arrest reports provide data on 43 offenses including violent crime, drug use, gambling, and larceny. The data received by ICPSR were structured as a hierarchical file containing, per reporting police agency: an agency header record, and 1 to 43 detail offense records containing the counts of arrests by age, sex, and race for a particular offense. ICPSR restructured the original data to logical record length format with the agency header record variables copied onto the detail records. Consequently, each record contains arrest counts for a particular agency-offense.

This statistic provides information on the juvenile arrest rate for violent crimes in the United States in 2014, sorted by state. The arrest rate is defined as the number of arrests of persons under age 18 for every 100,000 persons aged 10–17. In 2014, the violent crime arrest rate for persons under age 18 in Alabama stood at **. The number of reported violent crimes in the country can be accessed here.

This project provided the first large-scale examination of the police response to intimate partner violence and of the practice known as "dual arrest." The objectives of the project were: (1) to describe the prevalence and context of dual arrest in the United States, (2) to explain the variance in dual arrest rates throughout the United States, (3) to describe dual arrest within the full range of the police response to intimate partner violence, (4) to analyze the factors associated with no arrest, single arrest, and dual arrest, (5) to examine the reasons why women are arrested in intimate partner cases, and (6) to describe how the criminal justice system treats women who have been arrested for domestic violence. Data for the project were collected in two phases. In Phase I, researchers examined all assault and intimidation cases in the year 2000 National Incident-Based Reporting System (NIBRS) database (NATIONAL INCIDENT-BASED REPORTING SYSTEM, 2000 [ICPSR 3449]) to investigate the extent to which dual arrest is occurring nationwide, the relationship between incident and offender characteristics, and the effect of state laws on police handling of these cases for all relationship types. Because the NIBRS dataset contained a limited number of incident-specific variables that helped explain divergent arrest practices, in Phase II, researchers collected more detailed information on a subset of NIBRS cases from 25 police departments of varying sizes across four states. This phase of the study was restricted to intimate partner and other domestic violence cases. Additional data were collected for these cases to evaluate court case outcomes and subsequent re-offending. This phase also included an assessment of how closely department policy reflected state law in a larger sample of agencies within five states. The data in Part 1 (Phase I Data) contain 577,862 records from the NIBRS. This includes information related to domestic violence incidents such as the most serious offense against the victim, the most serious victim injury, the assault type, date of incident, and the counts of offenses, offenders, victims, and arrests for the incident. The data also include information related to the parties involved in the incident including demographics for the victim(s) and arrestee(s) and the relationship between victim(s) and arrestee(s). There is also information related to the jurisdiction in which the incident occurred such as population, urban/rural classification, and whether the jurisdiction is located in a metropolitan area. There are also variables pertaining to whether a weapon was used, the date of arrest, and the type of arrest. Also included are variables regarding the police department such as the number of male and female police officers and civilians employed. The data in Part 2 (Phase II Data) contain 4,388 cases and include all of the same variables as those in Part 1. In addition to these variables, there are variables such as whether the offender was on the scene when the police arrived, who reported the incident, the exact nature of injuries suffered by the involved parties, victim and offender substance use, offender demeanor, and presence of children. Also included are variables related to the number of people including police and civilians who were on the scene, the number of people who were questioned, whether there were warrants for the victim(s) or offender(s), whether citations were issued, whether arrests were made, whether any cases were prosecuted, the number of charges filed and against whom, and the sentences for prosecuted cases that resulted in conviction. The data in Part 3 (Police Department Policy Data) contain 282 cases and include variables regarding whether the department had a domestic violence policy, what the department's arrest policy was, whether a police report needed to be made, whether the policy addressed mutual violence, whether the policy instructed how to determine the primary aggressor, and what factors were taken into account in making a decision to arrest. There is also information related to the proportion of arrests involving intimate partners, the proportion of arrests involving other domestics, the proportion of arrests involving acquaintances, and the proportion of arrests involving strangers.

Since 1930, the Federal Bureau of Investigation has compiled the Uniform Crime Reports (UCR) to serve as periodic nationwide assessments of reported crimes not available elsewhere in the criminal justice system. Law enforcement agencies contribute reports either directly or through their state reporting programs. Each year, summary data are reported in four types of files: (1) Offenses Known and Clearances by Arrest, (2) Property Stolen and Recovered, (3) Supplementary Homicide Reports (SHR), and (4) Police Employee (LEOKA) Data. The Offenses Known and Clearances by Arrest data files include monthly data on the number of Crime Index offenses reported and the number of offenses cleared by arrest or other means. The counts include all reports of Index Crimes (excluding arson) received from victims, officers who discovered infractions, or other sources.

Emerging from the tradition of econometric models of deterrence and crime, this study attempts to improve estimates of how crime rates are affected by the apprehension and punishment of persons charged with criminal activity. These data are contained in two files: Part 1, State Data, consists of a panel of observations from each of the 50 states and contains information on crime rates, clearance rates, length of time served, probability of imprisonment, socioeconomic factors such as unemployment rates, population levels, and income levels, and state and local expenditures for police protection. Part 2, SMSA Data, consists of a panel of 77 SMSAs and contains information on crime rates, clearance rates, length of time served, probability of imprisonment, socioeconomic factors such as employment rates, population levels, and income levels, and taxation and expenditure information.

In 2023, about 886,391 offenders in the United States were arrested for a property crime. This is a significant decrease from 1990 levels, when about 2.22 million people were arrested for property crimes in the country.