The following datasets contain the crime rate for cities in the United States. The four datasets are separated based on population ranges.

FILE DESCRIPTION

File names: - 'crime_40 _60.csv': dataset for population ranging from 40,000 to 60,000. - 'crime_60 _100.csv': dataset for population ranging from 60,000 to 100,000. - 'crime_100 _250.csv': dataset for population ranging from 100,000 to 250,000. - 'crime_250 _plus.csv': dataset for population greater than 250,000.

COLUMN DESCRIPTION

For file: crime_40 _60.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'violent_crime': violent crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ The following datasets contain the crime rate for cities in the United States. The four datasets are separated based on population ranges.

FILE DESCRIPTION

File names: - 'crime_40 _60.csv': dataset for population ranging from 40,000 to 60,000. - 'crime_60 _100.csv': dataset for population ranging from 60,000 to 100,000. - 'crime_100 _250.csv': dataset for population ranging from 100,000 to 250,000. - 'crime_250 _plus.csv': dataset for population greater than 250,000.

COLUMN DESCRIPTION

For file: crime_40 _60.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'violent_crime': violent crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ assault': agrv_ assault - 'prop_crime': property crime - 'burglary': burglary - 'larceny': larceny theft - 'vehicle_theft': motor vehicle theft

crime_60 _100.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'violent_crime': violent crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ assault': agrv_ assault - 'prop_crime': property crime - 'burglary': burglary - 'larceny': larceny theft - 'vehicle_theft': motor vehicle theft

crime_100 _250.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'violent_crime': violent crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ assault': agrv_ assault - 'prop_crime': property crime - 'burglary': burglary - 'larceny': larceny theft - 'vehicle_theft': motor vehicle theft

crime_250 _plus.csv: - 'states': name of the state - 'cities': name of the city - 'population': population of the city - 'total_crime': total crime - 'murder': murder and nonnegligent manslaughter - 'rape': forcible rape - 'robbery': robbery - 'agrv_ assault': agrv_ assault - 'total_violent _crime': total violent crime - 'prop_crime': property crime - 'burglary': burglary - 'larceny': larceny theft - 'vehicle_theft': motor vehicle theft - 'tot_prop _crime': total property crime - 'arson': arson

Photo by David von Diemar on Unsplash

In 2023, the violent crime rate in the United States was 363.8 cases per 100,000 of the population. Even though the violent crime rate has been decreasing since 1990, the United States tops the ranking of countries with the most prisoners. In addition, due to the FBI's transition to a new crime reporting system in which law enforcement agencies voluntarily submit crime reports, data may not accurately reflect the total number of crimes committed in recent years. Reported violent crime rate in the United States The United States Federal Bureau of Investigation tracks the rate of reported violent crimes per 100,000 U.S. inhabitants. In the timeline above, rates are shown starting in 1990. The rate of reported violent crime has fallen since a high of 758.20 reported crimes in 1991 to a low of 363.6 reported violent crimes in 2014. In 2023, there were around 1.22 million violent crimes reported to the FBI in the United States. This number can be compared to the total number of property crimes, roughly 6.41 million that year. Of violent crimes in 2023, aggravated assaults were the most common offenses in the United States, while homicide offenses were the least common. Law enforcement officers and crime clearance Though the violent crime rate was down in 2013, the number of law enforcement officers also fell. Between 2005 and 2009, the number of law enforcement officers in the United States rose from around 673,100 to 708,800. However, since 2009, the number of officers fell to a low of 626,900 officers in 2013. The number of law enforcement officers has since grown, reaching 720,652 in 2023. In 2023, the crime clearance rate in the U.S. was highest for murder and non-negligent manslaughter charges, with around 57.8 percent of murders being solved by investigators and a suspect being charged with the crime. Additionally, roughly 46.1 percent of aggravated assaults were cleared in that year. A statistics report on violent crime in the U.S. can be found here.

The data is sourced from the NIBRS Group A Offense Crimes dataset and covers the period from January 1, 2020, to the end of the most recent complete month. The displayed number represents the total burglaries/breaking & entering within the specified timeframe and sector.

In 2020, Hot Springs, Arkansas had the highest burglary rate in the United States, with 1,202.9 cases of burglary per 100,000 of its inhabitants. Lake Charles, Louisiana had the second highest burglary rate, at 1,065.7 cases per 100,000 inhabitants.

A CSV file which is updated daily by 11am and includes crime incidents from November 1st, 2015 forward through September 2, 2025*. Homicides, rapes, robberies, aggravated assaults, burglaries, thefts, motor vehicle thefts, arsons, and drug offenses are included (based on the primary offense listed for each incident).

*Note: We want to inform our users that updates to this dataset is currently unavailable from September 3, 2025, forward. The city is actively working with our partners to restore regular data publishing and is committed to resuming daily updates as soon as possible. We appreciate your patience and understanding during this time. Our goal is to ensure the accuracy, consistency, and timeliness of the data we provide. Please check back for updates and thank you for your continued interest in open data.

Recorded crime figures for CSP areas. Number of offences for the last two years, percentage change, and rates per 1,000 population for the latest year.

Crime isn't a topic most people want to use mental energy to think about. We want to avoid harm, protect our loved ones, and hold on to what we claim is ours. So how do we remain vigilant without digging too deep into the filth that is crime? Data, of course. The focus of our study is to explore possible trends between crime and communities in the city of Calgary. Our purpose is visualize Calgary criminal behaviour in order to help increase awareness for both citizens and law enforcement. Through the use of our visuals, individuals can make more informed decisions to improve the overall safety of their lives. Some of the main concerns of the study include: how crime rates increase with population, which areas in Calgary have the most crime, and if crime adheres to time-sensative patterns.

The violent crime rate indicator includes both the total number of violent crime incidents per year in Champaign County, and the number of violent crime incidents per 100,000 people per year in Champaign County. “Violent crimes” are those counted in the following categories in the Illinois State Police’s annual Crime in Illinois report: Criminal Homicide, Criminal Sexual Assault (Rape), Robbery, Aggravated Assault, and Aggravated Battery. The incidence of violent crime is an integral part of understanding the safety of a given community.

Both the total number of offenses in Champaign County and the rate per 100,000 population were significantly lower in 2021 than at the start of the measured time period, 1996. The most recent rise in both of these figures was in 2019-2020, before falling again in 2021. The year with the lowest number of total offenses and the rate per 100,000 population in the study period was 2015; both measures are slightly higher since then.

This data is sourced from the Illinois State Police’s annually released Crime in Illinois: Annual Uniform Crime Report, available on the Uniform Crime Report Index Offense Explorer.

Sources: Illinois State Police. (2021). Crime in Illinois: Annual Uniform Crime Report 2021. Illinois State Police. (2020). Crime in Illinois: Annual Uniform Crime Report 2020. Illinois State Police. (2019). Crime in Illinois: Annual Uniform Crime Report 2019. Illinois State Police. (2018). Crime in Illinois: Annual Uniform Crime Report 2018. Illinois State Police. (2017). Crime in Illinois: Annual Uniform Crime Report 2017.Illinois State Police. (2016). Crime in Illinois: Annual Uniform Crime Report 2016. Illinois State Police. (2015). Crime in Illinois: Annual Uniform Crime Report 2015. Illinois State Police. (2014). Crime in Illinois: Annual Uniform Crime Report 2014.; Illinois State Police. (2012). Crime in Illinois: Annual Uniform Crime Report 2012.; Illinois State Police. (2011). Crime in Illinois: Annual Uniform Crime Report 2010-2011.; Illinois State Police. (2009). Crime in Illinois: Annual Uniform Crime Report 2009.; Illinois State Police. (2007). Crime in Illinois: Annual Uniform Crime Report 2007.; Illinois State Police. (2005). Crime in Illinois: Annual Uniform Crime Report 2005.; Illinois State Police. (2003). Crime in Illinois: Annual Uniform Crime Report 2003.; Illinois State Police. (2001). Crime in Illinois: Annual Uniform Crime Report 2001.; Illinois State Police. (1999). Crime in Illinois: Annual Uniform Crime Report 1999.; Illinois State Police. (1997). Crime in Illinois: Annual Uniform Crime Report 1997.

In 2023, the violent crime rate in the United States was at 374.4 cases per 100,000 inhabitants. However, the total rate of property crime was far higher, at 1,916.7 cases per 100,000 inhabitants.

Crime data from years prior to the current one. The data included in this dataset has been reviewed and approved by a Milwaukee Police Department supervisor and the Milwaukee Police Department’s Records Management Division. This approval process can take a few weeks from the reported date of the crime. For preliminary crime data, please visit the Milwaukee Police Department’s Crime Maps and Statistics dashboard at https://city.milwaukee.gov/police/Information-Services/Crime-Maps-and-Statistics.

Wisconsin Incident Based Report (WIBR) Group A Offenses.

The Crime Data represents incident level data defined by Wisconsin Incident Based Reporting System (WIBRS) codes. WIBRS reporting is a crime reporting standard and can not be compared to any previous UCR report. Therefore, the Crime Data may reflect:

• Information not yet verified by further investigation
• Preliminary crime classifications that may be changed at a later date based upon further investigation
• Information that may include mechanical or human error

Neither the City of Milwaukee nor the Milwaukee Police Department guarantee (either express or implied) the accuracy, completeness, timeliness, or correct sequencing of the Crime Data. The City of Milwaukee and the Milwaukee Police Department shall have no liability for any error or omission, or for the use of, or the results obtained from the use of the Crime Data. In addition, the City of Milwaukee and the Milwaukee Police Department caution against using the Crime Data to make decisions/comparisons regarding the safety of or the amount of crime occurring in a particular area. When reviewing the Crime Data, the site user should consider that:

• The information represents only police services where a report was made and does not include other calls for police service
• The information does not reflect or certify "safe" or "unsafe" areas
• The information will sometimes reflect where the crime was reported versus where the crime occurred

The use of the Crime Data indicates the site user's unconditional acceptance of all risks associated with the use of the Crime Data.

To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page. XY fields in data is in projection Wisconsin State Plane South NAD27 (WKID 32054).

An annual publication in which the FBI provides data on the number of incidents, offenses, victims, and offenders in reported crimes that were motivated in whole or in part by a bias against the victim as perceived race, religion, sexual orientation, ethnicity, gender, disability, and gender identity.

This comprehensive dataset provides a deep dive into crime statistics across the United States. It encompasses a wide range of crime types, spanning from violent offenses like homicide and assault to property crimes such as theft and burglary. The data is meticulously organized, offering insights into crime trends, geographical variations, and temporal patterns.

This dataset provides comprehensive data on violent and property crimes in Maryland counties from 1975 to the present. It includes various crime metrics such as murder, rape, robbery, aggravated assault, burglary, larceny theft, motor vehicle theft, and more.

Columns Information

JURISDICTION

• Description: County name in Maryland.
• Data Type: String

YEAR

• Description: Year of the data.
• Data Type: Integer

POPULATION

• Description: Population of the county.
• Data Type: Integer

MURDER

• Description: Number of murders.
• Data Type: Integer

RAPE

• Description: Number of rapes.
• Data Type: Integer

ROBBERY

• Description: Number of robberies.
• Data Type: Integer

AGG. ASSAULT

• Description: Number of aggravated assaults.
• Data Type: Integer

B & E

• Description: Number of burglaries (breaking and entering).
• Data Type: Integer

LARCENY THEFT

• Description: Number of larceny thefts.
• Data Type: Integer

M/V THEFT

• Description: Number of motor vehicle thefts.
• Data Type: Integer

GRAND TOTAL

• Description: Total number of crimes.
• Data Type: Integer

PERCENT CHANGE

• Description: Percent change in total crimes from the previous year.
• Data Type: Float

VIOLENT CRIME TOTAL

• Description: Total number of violent crimes.
• Data Type: Integer

VIOLENT CRIME PERCENT

• Description: Percent of violent crimes out of total crimes.
• Data Type: Float

VIOLENT CRIME PERCENT CHANGE

• Description: Percent change in violent crimes from the previous year.
• Data Type: Float

PROPERTY CRIME TOTALS

• Description: Total number of property crimes.
• Data Type: Integer

PROPERTY CRIME PERCENT

• Description: Percent of property crimes out of total crimes.
• Data Type: Float

PROPERTY CRIME PERCENT CHANGE

• Description: Percent change in property crimes from the previous year.
• Data Type: Float

OVERALL CRIME RATE PER 100,000 PEOPLE

• Description: Crime rate per 100,000 people.
• Data Type: Float

OVERALL PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in crime rate per 100,000 people from the previous year.
• Data Type: Float

VIOLENT CRIME RATE PER 100,000 PEOPLE

• Description: Violent crime rate per 100,000 people.
• Data Type: Float

VIOLENT CRIME RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in violent crime rate per 100,000 people from the previous year.
• Data Type: Float

PROPERTY CRIME RATE PER 100,000 PEOPLE

• Description: Property crime rate per 100,000 people.
• Data Type: Float

PROPERTY CRIME RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in property crime rate per 100,000 people from the previous year.
• Data Type: Float

MURDER PER 100,000 PEOPLE

• Description: Murder rate per 100,000 people.
• Data Type: Float

RAPE PER 100,000 PEOPLE

• Description: Rape rate per 100,000 people.
• Data Type: Float

ROBBERY PER 100,000 PEOPLE

• Description: Robbery rate per 100,000 people.
• Data Type: Float

AGG. ASSAULT PER 100,000 PEOPLE

• Description: Aggravated assault rate per 100,000 people.
• Data Type: Float

B & E PER 100,000 PEOPLE

• Description: Burglary (breaking and entering) rate per 100,000 people.
• Data Type: Float

LARCENY THEFT PER 100,000 PEOPLE

• Description: Larceny theft rate per 100,000 people.
• Data Type: Float

M/V THEFT PER 100,000 PEOPLE

• Description: Motor vehicle theft rate per 100,000 people.
• Data Type: Float

MURDER RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in murder rate per 100,000 people from the previous year.
• Data Type: Float

RAPE RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in rape rate per 100,000 people from the previous year.
• Data Type: Float

ROBBERY RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in robbery rate per 100,000 people from the previous year.
• Data Type: Float

AGG. ASSAULT RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in aggravated assault rate per 100,000 people from the previous year.
• Data Type: Float

B & E RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in burglary (breaking and entering) rate per 100,000 people from the previous year.
• Data Type: Float

LARCENY THEFT RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in larceny theft rate per 100,000 people from the previous year.
• Data Type: Float

M/V THEFT RATE PERCENT CHANGE PER 100,000 PEOPLE

• Description: Percent change in motor vehicle t...

Crime severity index (violent, non-violent, youth) and weighted clearance rates (violent, non-violent), Canada, provinces, territories and Census Metropolitan Areas, 1998 to 2024.

This dataset includes all criminal offenses reported to the Colorado Springs Police Department. Each case report (incident) may have several offenses. Each offense may have multiple suspects and/or victims.

Important: This dataset provided by CSPD does not apply the same counting rules as official data reported to the Colorado Bureau of Investigations and the Federal Bureau of Investigation. This means comparisons to those datasets would be inaccurate.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study was a secondary analysis of data from the National Crime Victimization Survey (NCVS) and National Incidents Based Reporting System (NIBRS) for the period 1998-2007. The analysis calculates two separate measures of the incidents of violence that occurred during burglaries. The study addressed the following research questions: Is burglary a violent crime? Are different levels of violence associated with residential versus nonresidential burglaries? How frequently is a household member present during a residential burglary? How frequently does violence occur in the commission of a burglary? What forms does burglary-related violence take? Are there differences in rates of violence between attempted and completed burglaries? What constitutes the crime of burglary in current statutory law? How do the federal government and the various states define burglary (grades and elements)? Does statutory law comport with empirical observations of what the typical characteristics of acts of burglary are? The SPSS code distributed here alters an existing dataset drawn from pre-existing studies. In order to use this code users must first create the original data file drawn from National Crime Victimization Survey (NCVS) and National Incidents Based Reporting System (NIBRS) data from the period of 1998-2007. All data used for this study are publicly available through ICPSR. See the variable description section for a comprehensive list of, and direct links to, all datasets used to create this original dataset.

In response to a growing concern about hate crimes, the United States Congress enacted the Hate Crime Statistics Act of 1990. The Act requires the attorney general to establish guidelines and collect, as part of the Uniform Crime Reporting (UCR) Program, data "about crimes that manifest evidence of prejudice based on race, religion, sexual orientation, or ethnicity, including where appropriate the crimes of murder and non-negligent manslaughter, forcible rape, aggravated assault, simple assault, intimidation, arson, and destruction, damage or vandalism of property." Hate crime data collection was required by the Act to begin in calendar year 1990 and to continue for four successive years. In September 1994, the Violent Crime Control and Law Enforcement Act amended the Hate Crime Statistics Act to add disabilities, both physical and mental, as factors that could be considered a basis for hate crimes. Although the Act originally mandated data collection for five years, the Church Arson Prevention Act of 1996 amended the collection duration "for each calendar year," making hate crime statistics a permanent addition to the UCR program. As with the other UCR data, law enforcement agencies contribute reports either directly or through their state reporting programs. Information contained in the data includes number of victims and offenders involved in each hate crime incident, type of victims, bias motivation, offense type, and location type.

In 2023, an estimated 1,21,467 violent crimes occurred in the United States. This is a decrease from the year before, when 1,256,671 violent crimes were reported. Violent crime in the United States The Federal Bureau of Investigation reported that violent crime fell nationwide in the period from 1990 to 2023. Violent crime was at a height of 1.93 million crimes in 1992, but has since reached a low of 1.15 million violent crimes in 2014. When conducting crime reporting, the FBI’s Uniform Crime Reporting Program considered murder, nonnegligent manslaughter, forcible rape, robbery and aggravated assault to be violent crimes, because they are offenses which involve force or threat of violence. In 2023, there were 19,252 reported murder and nonnegligent manslaughter cases in the United States. California ranked first on a list of U.S. states by number of murders, followed by Texas, and Florida.The greatest number of murders were committed by murderers of unknown relationship to their victim. “Girlfriend” was the fourth most common relationship of victim to offender in 2023, with a reported 568 partners murdering their girlfriends that year, while the sixth most common was “wife.” In addition, seven people were murdered by their employees and 12 people were murdered by their employers. The most used murder weapon in 2023 was the handgun, which was used in 7,1 murders that year. According to the FBI, firearms (of all types) were used in more than half of the nation’s murders. The total number of firearms manufactured in the U.S. annually has reached over 13 million units.

An interactive public crime mapping application providing DC residents and visitors easy-to-understand data visualizations of crime locations, types and trends across all eight wards. Crime Cards was created by the DC Metropolitan Police Department (MPD) and Office of the Chief Technology Officer (OCTO). Special thanks to the community members who participated in reviews with MPD Officers and IT staff, and those who joined us for the #SaferStrongerSmarterDC roundtable design review. All statistics presented in Crime Cards are based on preliminary DC Index crime data reported from 2009 to midnight of today’s date. They are compiled based on the date the offense was reported (Report Date) to MPD. The application displays two main crime categories: Violent Crime and Property Crime. Violent Crimes include homicide, sex abuse, assault with a dangerous weapon (ADW), and robbery. Violent crimes can be further searched by the weapon used. Property Crimes include burglary, motor vehicle theft, theft from vehicle, theft (other), and arson. CrimeCards collaboration between the Metropolitan Police Department (MPD) and the Office of the Chief Technology Officer (OCTO).

Multiple datasets related to Houston Police Department Crime Stats