These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed. This study was a systematic assessment of the impacts of foreclosures and crime levels on each other, using sophisticated spatial analysis methods, informed by qualitative research on the topic. Using data on foreclosures and crime in District of Columbia and Miami-Dade County, Florida from 2003 to 2011, this study considered the effects of the two phenomena on each other through a dynamic systems approach.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Nassau County, FL (DISCONTINUED) (FBITC012089) from 2004 to 2020 about Nassau County, FL; Jacksonville; crime; violent crime; property crime; FL; and USA.

In 2023, the District of Columbia had the highest reported violent crime rate in the United States, with 1,150.9 violent crimes per 100,000 of the population. Maine had the lowest reported violent crime rate, with 102.5 offenses per 100,000 of the population. Life in the District The District of Columbia has seen a fluctuating population over the past few decades. Its population decreased throughout the 1990s, when its crime rate was at its peak, but has been steadily recovering since then. While unemployment in the District has also been falling, it still has had a high poverty rate in recent years. The gentrification of certain areas within Washington, D.C. over the past few years has made the contrast between rich and poor even greater and is also pushing crime out into the Maryland and Virginia suburbs around the District. Law enforcement in the U.S. Crime in the U.S. is trending downwards compared to years past, despite Americans feeling that crime is a problem in their country. In addition, the number of full-time law enforcement officers in the U.S. has increased recently, who, in keeping with the lower rate of crime, have also made fewer arrests than in years past.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Orange County, FL (DISCONTINUED) (FBITC012095) from 2004 to 2020 about Orange County, FL; Orlando; crime; violent crime; property crime; FL; and USA.

In 2023, the state with the highest crime rate in the United States per 100,000 inhabitants was New Mexico. That year, the crime rate was ******** crimes per 100,000 people. In comparison, New Hampshire had the lowest crime rate at ****** crimes per 100,000 people. Crime rate The crime rate in the United States has generally decreased over time. There are several factors attributed to the decrease in the crime rate across the United States. An increase in the number of police officers and an increase in income are some of the reasons for a decrease in the crime rate. Unfortunately, people of color have been disproportionately affected by crime rates, as they are more likely to be arrested for a crime versus a white person. Crime rates regionally The District of Columbia had the highest rate of reported violent crimes in the United States in 2023 per 100,000 inhabitants. The most common crime clearance type in metropolitan counties in the United States in 2020 was murder and non-negligent manslaughter. The second most dangerous city in the country in 2020 was Detroit. Detroit has faced severe levels of economic and demographic declines in the past years. Not only has the population decreased, the city has filed for bankruptcy. Despite the median household income increasing, the city still struggles financially.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Sumter County, FL (DISCONTINUED) (FBITC012119) from 2004 to 2020 about Sumter County, FL; crime; violent crime; property crime; FL; and USA.

In 2023, murder and manslaughter charges had the highest crime clearance rate in the United States, with 57.8 percent of all cases being cleared by arrest or so-called exceptional means. Motor vehicle theft cases had the lowest crime clearance rate, at 8.2 percent. What is crime clearance? Within the U.S. criminal justice system, criminal cases can be cleared (or closed) one of two ways. The first is through arrest, which means that at least one person has either been arrested, charged with an offense, or turned over to the court for prosecution. The second way a case can be closed is through what is called exceptional means, where law enforcement must have either identified the offender, gathered enough evidence to arrest, charge, and prosecute someone, identified the offender’s exact location, or come up against a circumstance outside the control of law enforcement that keeps them from arresting and prosecuting the offender. Crime in the United States Despite what many people may believe, crime in the United States has been on the decline. Particularly in regard to violent crime, the violent crime rate has almost halved since 1990, meaning that the U.S. is safer than it was almost 30 years ago. However, due to the FBI's recent transition to a new crime reporting system in which law enforcement agencies voluntarily report crime data, it is possible that figures do not accurately reflect the total amount of crime in the country.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami-Dade County, FL was 33003.00000 Known Incidents in January of 2020, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami-Dade County, FL reached a record high of 64027.00000 in January of 2004 and a record low of 33003.00000 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami-Dade County, FL - last updated from the United States Federal Reserve on June of 2025.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Jackson County, FL (DISCONTINUED) (FBITC012063) from 2004 to 2018 about Jackson County, FL; crime; violent crime; property crime; FL; and USA.

The goal of this study is to enhance public safety and community well-being through effective identification, investigation, and prosecution of anti-LGBTQ hate crimes in Miami. The investigators examined victimization experiences, victim and offender characteristics, crime reporting outcomes, victimization consequences, case processing, as well as the criminal justice system's challenges and opportunities for reform. The project focuses on the hate crime victimization within Miami's Latine community.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Taylor County, FL (DISCONTINUED) (FBITC012123) from 2005 to 2020 about Taylor County, FL; crime; violent crime; property crime; FL; and USA.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Hardee County, FL was 357.00000 Known Incidents in January of 2020, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Hardee County, FL reached a record high of 701.00000 in January of 2007 and a record low of 317.00000 in January of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Hardee County, FL - last updated from the United States Federal Reserve on June of 2025.

This study was undertaken to measure the criminal behavior of gangs, including their involvement in delinquent behavior such as drug use and drug trafficking activities, and to compare gang behavior with that of youth who were at risk, but who had not yet become active in gangs. The project assessed the role that gangs play in the lives of youth whose living conditions are otherwise comparable. In order to study the criminal behavior of gangs, investigators sought to interview 50 gang members and 50 non-gang, at-risk youth at two sites in Colorado and one site in Florida. A large portion of the interview questions asked in both the gang member interview and the at-risk youth interview were parallel. The following variables appear in both the gang member and at-risk youth files (Parts 1 and 2 respectively) created for this data collection: gang popularity variables (respondents' perceptions of the positive and negative attributes of a gang, and why gangs endure over time), drug involvement variables (whether respondents or fellow members/friends sold various types of drugs, why selling drugs increases a person's "juice", the drug source organization, and where they traveled to get the drugs), criminal history variables (the reasons why respondents believed they were able to get away with crimes, their first arrest age, and their most serious arrest charge), personal activity variables (whether respondents or fellow members/friends participated in dances, sporting events, fighting, drug use or selling, shoplifting, assaulting people, or burglarizing homes), variables concerning the future (whether respondents would join a gang again/join a gang today, why some gangs survive and others don't, and how respondents see their future), and demographic variables (respondents' age, sex, race, city, neighborhood, school, school status, type of work, marital status, and relationship with parent(s)). In addition, Part 1, the Gang Member Data, contains gang status variables (gang symbols, gang nickname, gang turf, and how members define a gang) and gang membership variables (roles of the respondents within the gang, why members join a gang, what the most important gang rule is, and what happens to those who refuse the gang). Part 2, At-Risk Youth Data, contains additional variables on gang contact (the names of gangs who had approached the respondents, methods used to try to get the youths to join, how the youths refused the gang, and what happened as a result of refusing) and prevention (how at-risk youth would advise a young person to react if approached by a gang, and what the youths felt was the best way to prepare children to deal with gangs).

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Putnam County, FL (DISCONTINUED) (FBITC012107) from 2004 to 2020 about Putnam County, FL; crime; violent crime; property crime; FL; and USA.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Washington County, FL (DISCONTINUED) (FBITC012133) from 2005 to 2020 about Washington County, FL; crime; violent crime; property crime; FL; and USA.

Two major changes to the Uniform Crime Reports (UCR) county-level files were implemented beginning with the 1994 data. A new imputation algorithm to adjust for incomplete reporting by individual law enforcement jurisdictions was adopted. Within each county, data from agencies reporting 3 to 11 months of information were weighted to yield 12-month equivalents. Data for agencies reporting less than 3 months of data were replaced with data estimated by rates calculated from agencies reporting 12 months of data located in the agency's geographic stratum within its state. Secondly, a new Coverage Indicator was created to provide users with a diagnostic measure of aggregated data quality in a particular county. Data from agencies reporting only statewide figures were allocated to the counties in the state in proportion to each county's share of the state population.In the arrest files (Parts 1-3 and 5-7), data were estimated for agencies reporting 0 months based on the procedures mentioned above. However, due to the structure of the data received from the FBI, estimations could not be produced for agencies reporting 0 months in the crimes reported files (Parts 4 and 8). Offense data for agencies reporting 1 or 2 months are estimated using the above procedures. Users are encouraged to refer to the codebook for more information.No arrest data were provided for Washington, DC, and Florida. Limited arrest data were available for Illinois and Kentucky. Limited offense data were available for Illinois, Kentucky, Mississippi, Missouri, Montana, and South Dakota.UCR program staff at the Federal Bureau of Investigation (FBI) were consulted in developing the new adjustment procedures. However, these UCR county-level files are not official FBI UCR releases and are being provided for research purposes only. Users with questions regarding these UCR county-level data files can contact the National Archive of Criminal Justice Data at ICPSR.Users should note that there are no records in the data for the borough of Denali, Alaska (FIPS code 02068) in any of the collections of the Uniform Crime Reporting Program Data [United States]: County-Level Detailed Arrest and Offense Data from 1990 to 2003. The borough of Denali, Alaska (FIPS code 02068) was created from part of the Yukon-Koyukuk Census Area (FIPS code 02290) an unpopulated part of the Southeast Fairbanks Census Area (FIPS code 02240) effective December 7, 1990. Since no agency records for either arrests or crimes reported from Denali were present in any of the original FBI files, no data for the borough of Denali, Alaska appear in any the ICPSR collections for these years. This data collection contains county-level counts of arrests and offenses for Part I offenses (murder, rape, robbery, aggravated assault, burglary, larceny, auto theft, and arson) and counts of arrests for Part II offenses (forgery, fraud, embezzlement, vandalism, weapons violations, sex offenses, drug and alcohol abuse violations, gambling, vagrancy, curfew violations, and runaways). Datasets: DS0: Study-Level Files DS1: Arrests, All Ages DS2: Arrests, Adult DS3: Arrests, Juveniles DS4: Crimes Reported DS5: Allocated Statewide Data for Arrests, All Ages DS6: Allocated Statewide Data for Arrests, Adults DS7: Allocated Statewide Data for Arrests, Juveniles DS8: Allocated Statewide Data for Crimes Reported County law enforcement agencies in the United States.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Hamilton County, FL (DISCONTINUED) (FBITC012047) from 2005 to 2020 about Hamilton County, FL; crime; violent crime; property crime; FL; and USA.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Dixie County, FL was 219.00000 Known Incidents in January of 2020, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Dixie County, FL reached a record high of 697.00000 in January of 2008 and a record low of 219.00000 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Dixie County, FL - last updated from the United States Federal Reserve on June of 2025.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Collier County, FL was 4253.00000 Known Incidents in January of 2020, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Collier County, FL reached a record high of 6884.00000 in January of 2004 and a record low of 4253.00000 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Collier County, FL - last updated from the United States Federal Reserve on June of 2025.

Abstract (en): This data collection contains county-level counts of arrests and offenses for Part I offenses (murder, rape, robbery, aggravated assault, burglary, larceny, auto theft, and arson) and counts of arrests for Part II offenses (forgery, fraud, embezzlement, vandalism, weapons violations, sex offenses, drug and alcohol abuse violations, gambling, vagrancy, curfew violations, and runaways). ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. County law enforcement agencies in the United States. 2006-03-30 File CB2389.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.2001-02-16 A correction was made to the formula for calculating the Coverage Indicator listed in the ICPSR Data Collection Description section of the codebook.1998-09-17 Parts 4 and 8 were reprocessed to correct four records that indicated that no agencies had reported data, but which actually contained crime data. Changes affect the variables AG_OFF and COVIND in each data file. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. (1) Two major changes to the Uniform Crime Reports (UCR) county-level files were implemented beginning with the 1994 data. A new imputation algorithm to adjust for incomplete reporting by individual law enforcement jurisdictions was adopted. Within each county, data from agencies reporting 3 to 11 months of information were weighted to yield 12-month equivalents. Data for agencies reporting less than 3 months of data were replaced with data estimated by rates calculated from agencies reporting 12 months of data located in the agency's geographic stratum within their state. Secondly, a new Coverage Indicator was created to provide users with a diagnostic measure of aggregated data quality in a particular county. Data from agencies reporting only statewide figures were allocated to the counties in the state in proportion to each county's share of the state population. (2) No arrest data were provided for Florida, Illinois, Kansas, or Montana. Limited arrest statistics were provided for Kentucky, Mississippi, and South Dakota. For most counties in Vermont, the majority of arrest data were reported by the state police in that county. No offense data were provided for Montana. Limited offense data were available for Florida, Illinois, Kentucky, Mississippi, Missouri, South Dakota, and Tennessee. (3) UCR program staff at the Federal Bureau of Investigation (FBI) were consulted in developing the new adjustment procedures. However, these UCR county-level files are not official FBI UCR releases and are being provided for research purposes only. Users with questions regarding these UCR county-level data files can contact the National Archive of Criminal Justice Data at ICPSR. (4) The codebook is provided as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.