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.

This map shows a comparable measure of crime in the United States. The crime index compares the average local crime level to that of the United States as a whole. An index of 100 is average. A crime index of 120 indicates that crime in that area is 20 percent above the national average.The crime data is provided by Applied Geographic Solutions, Inc. (AGS). AGS created models using the FBI Uniform Crime Report databases as the primary data source and using an initial range of about 65 socio-economic characteristics taken from the 2000 Census and AGS’ current year estimates. The crimes included in the models include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. The total crime index incorporates all crimes and provides a useful measure of the relative “overall” crime rate in an area. However, these are unweighted indexes, meaning that a murder is weighted no more heavily than a purse snatching in the computations. The geography depicts states, counties, Census tracts and Census block groups. An urban/rural "mask" layer helps you identify crime patterns in rural and urban settings. The Census tracts and block groups help identify neighborhood-level variation in the crime data.------------------------The Civic Analytics Network collaborates on shared projects that advance the use of data visualization and predictive analytics in solving important urban problems related to economic opportunity, poverty reduction, and addressing the root causes of social problems of equity and opportunity. For more information see About the Civil Analytics Network.

Crime incident reports are provided by Boston Police Department (BPD) to document the initial details surrounding an incident to which BPD officers respond. This is a dataset containing records from the new crime incident report system, which includes a reduced set of fields focused on capturing the type of incident as well as when and where it occurred. Records in the new system begin in June of 2015.

The Analyze Boston Data Exports posted now are the updated incident data from the Mark43 RMS Database which launched in September of 2019 and is complete through present with the exclusion of data that falls under MGL ch.41 s.98f. The 2019 data that was originally posted contained combined exports from the Intergraph RMS and the Mark43 RMS during 2019 but the Extract/Transfer/Load process was not updated during the transition.

In undertaking this data collection, the principal investigators sought to determine (1) whether police enforcement against drug crimes, specifically heroin crimes, had any influence on the rates of nondrug crimes, and (2) what effect intensive law enforcement programs against drug dealers had on residents where those programs were operating. To achieve these objectives, data on crime rates for seven successive years were collected from police records of 30 cities in Massachusetts. Data were collected for the following offenses: murder, rape, robbery, assault, larceny, and automobile theft. The investigators also interviewed a sample of residents from 3 of those 30 cities. Residents were queried about their opinions of the most serious problem facing people today, their degree of concern about being victims of crime, and their opinions of the effectiveness of law enforcement agencies in handling drug problems.

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 dataset contains crime reports from the City of Somerville Police Department's records management system from 2017 to present. Each data point represents an incident, which may involve multiple offenses (the most severe offense is provided here). Incidents deemed sensitive by enforcement agencies are included in the data set but are stripped of time or location information to protect the privacy of victims. For these incidents, only the year of the offense is provided. This data set is refreshed daily with data appearing with a one-month delay (for example, crime reports from 1/1 will appear on 2/1). If a daily update does not refresh, please email data@somervillema.gov.

City of Waltham, MA Crime Mapping Viewer

The relationship between crime control policies and fundamental parameters of the criminal career, such as career length, participation in offenses, and frequency and seriousness of offenses committed, is examined in this data collection. The investigators coded, recoded, and computerized parts of the raw data from Sheldon and Eleanor Glueck's three-wave, matched sample study of juvenile and adult criminal behavior, extracting the criminal histories of the 500 delinquents (officially defined) from the Glueck study. Data were originally collected by the Gluecks in 1940 through psychiatric interviews with subjects, parent and teacher reports, and official records obtained from police, court, and correctional files. The subjects were subsequently interviewed again between 1949 and 1965 at or near the age of 25, and again at or near the age of 32. The data coded by Laub and Sampson include only information collected from official records. The data address in part (1) what effects probation, incarceration, and parole have on the length of criminal career and frequency of criminal incidents of an offender, (2) how the effects of criminal control policies vary in relation to the length of sentence, type of offense, and age of the offender, (3) which factors in criminal control policy correlate with criminal career termination, (4) how well age of first offense predicts the length of criminal career, and (5) how age of offender relates to type of offense committed. Every incident of arrest up to the age of 32 for each respondent (ranging from 1 to 51 arrests) is recorded in the data file. Variables include the dates of arrest, up to three charges associated with the arrest, court disposition, and starting and ending dates of probation, incarceration, and parole associated with the arrest.

The FBI Uniform Crime report contains a compilation of the volume and rate of violent and property crime offenses for the nation and by state.

Overview, Uniform Crime Report,Data Quality and Methodology, Glossary, Offense Glossary, State Data Notes

For this study, convenience store robbery victims and offenders in five states (Georgia, Massachusetts, Maryland, Michigan, and South Carolina) were interviewed. Robbery victims were identified by canvassing convenience stores in high-crime areas, while a sample of unrelated offenders was obtained from state prison rolls. The aims of the survey were to address questions of injury, to examine store characteristics that might influence the rate of robbery and injury, to compare how both victims and offenders perceived the robbery event (including their assessment of what could be done to prevent convenience store robberies in the future), and to identify ways in which the number of convenience store robberies might be reduced. Variables unique to Part 1, the Victim Data file, provide information on how the victim was injured, whether hospitalization was required for the injury, if the victim used any type of self-protection, and whether the victim had been trained to handle a robbery. Part 2, the Offender Data file, presents variables describing offenders' history of prior convenience store robberies, whether there had been an accomplice, motive for robbing the store, and whether various factors mattered in choosing the store to rob (e.g., cashier location, exit locations, lighting conditions, parking lot size, the number of clerks working, weather conditions, the time of day, and the number of customers in the store). Found in both files are variables detailing whether a victim injury occurred, use of a weapon, how each participant behaved, perceptions of why the store was targeted, what could have been done to prevent the robbery, and ratings by the researchers on the completeness, honesty, and cooperativeness of each participant during the interview. Demographic variables found in both the victim and offender files include age, gender, race, and ethnicity.

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. Researchers compiled datasets on prison admissions and releases that would be comparable across places and geocoded and mapped those data onto crime rates across those same places. The data used were panel data. The data were quarterly or annual data, depending on the location, from a mix of urban (Boston, Newark and Trenton) and rural communities in New Jersey covering various years between 2000 and 2010. The crime, release, and admission data were individual level data that were then aggregated from the individual incident level to the census tract level by quarter (in Boston and Newark) or year (in Trenton). The analyses centered on the effects of rates of prison removals and returns on rates of crime in communities (defined as census tracts) in the cities of Boston, Massachusetts, Newark, New Jersey, and Trenton, New Jersey, and across rural municipalities in New Jersey. There are 4 Stata data files. The Boston data file has 6,862 cases, and 44 variables. The Newark data file has 1,440 cases, and 45 variables. The Trenton data file has 66 cases, and 32 variables. The New Jersey Rural data file has 1,170 cases, and 32 variables.

The Boston Police Department’s Homicide Investigation Unit investigates all homicides occurring within Boston Police jurisdiction. According to FBI standards, the annual homicide clearance rate is calculated using the total number of new homicides in a calendar year, and the total number of homicides that are cleared that calendar year – regardless of the year the homicide occurred within. The reason for this is that homicide investigations can span multiple calendar years. In addition, incidents that happened in previous years can be ruled a homicide years later and added to the current year’s total.

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 research examined the reliability of the Federal Bureau of Investigation's National Incident-Based Reporting System (NIBRS) arrests data. Data on crime incidents, including data on whether an arrest was made or a summons issued, are collected from hundreds of law enforcement agencies (LEAs) across the country and then combined by the FBI into a national data set that is frequently used by researchers. This study compared arrest data in a sample of cases from NIBRS data files with arrest and summons data collected on the same cases directly from LEAs. The dataset consists of information collected from the Massachusetts NIBRS database combined with data from LEAs through a survey and includes data on arrests, summons, exceptional clearances, applicable statutes and offense names, arrest dates, and arrestees' sex, race, ethnicity and age for a sample of assault incidents between 2011 and 2013 from the NIBRS. The collection contains one SPSS data file (n=480; 32 variables). Qualitative data are not available as part of this collection.

In 2023, ***** hate crime offenses were reported in California, the most out of any state. New Jersey, New York, Washington, and Massachusetts rounded out the top five states for hate crime offenses in that year.

In recent years, gun violence in the United States has become an alarmingly common occurrence. From 2016, there has been over ****** homicides by firearm in the U.S. each year and firearms have been found to make up the majority of murder weapons in the country by far, demonstrating increasing rates of gun violence occurring throughout the nation. As of 2025, Mississippi was the state with the highest gun violence rate per 100,000 residents in the United States, at **** percent, followed by Louisiana, at **** percent. In comparison, Massachusetts had a gun violence rate of *** percent, the lowest out of all the states. The importance of gun laws Gun laws in the United States vary from state to state, which has been found to affect the differing rates of gun violence throughout the country. Fewer people die by gun violence in states where gun safety laws have been passed, while gun violence rates remain high in states where gun usage is easily permitted and even encouraged. In addition, some states suffer from high rates of gun violence despite having strong gun safety laws due to gun trafficking, as traffickers can distribute firearms illegally past state lines. The right to bear arms Despite evidence from other countries demonstrating that strict gun control measures reduce rates of gun violence, the United States has remained reluctant to enact gun control laws. This can largely be attributed to the Second Amendment of the Constitution, which states that citizens have the right to bear arms. Consequently, gun control has become a highly partisan issue in the U.S., with ** percent of Democrats believing that it was more important to limit gun ownership while ** percent of Republicans felt that it was more important to protect the right of Americans to own guns.

Data Description and Disclaimer This dataset reflects incidents that have been reported to the New Orleans Police Department in 2013. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost. Disclaimer: These incidents may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the New Orleans Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The New Orleans Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The New Orleans Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.

'Incident Number' is unique to an incident. An ‘Incident Number’ appears in the table more than once when one more than officer was dispatched to the scene and/or when more than one ‘Incident Type’ applied to the incident.To view the table in chronological order (starting with the earliest logged incident) click the ‘Incident Number’ heading once. You may also click the download button to download and sort the table in a csv file.Descriptions for Select Incident TypesMM - Malicious Mischief: Intentional destruction of propertyGNT - Grant: Activity concerning one of the many grants WPD hasS35-SECTION 35 WARR APPREHENSION: Warrant arrestPark and Walk: Officers park their cruiser and walk in certain neighborhoods to facilitate community interactionPIP Transportation: Intoxicated person was transported to a facilityAcronyms Used in Incident Types:MV: Motor VehiclePC: Protective CustodyB&E: Breaking and EnteringOOS: Out of ServiceMore information: Visit the Worcester Police Department webpage to learn more about their services, programs, and initiatives.Informing Worcester is the City of Worcester's open data portal where interested parties can obtain public information at no cost.

These data were gathered to test a model of the socioeconomic and demographic determinants of the crime of arson. Datasets for this analysis were developed by the principal investigator from records of the Massachusetts Fire Incident Reporting System and from population and housing data from the 1980 Census of Massachusetts. The three identically-structured data files include variables such as population size, fire incident reports, employment, income, family structure, housing type, housing quality, housing occupancy, housing availability, race, and age.

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 project had three goals. One, to provide a more detailed description of injury evidence and biological evidence in sexual assault cases, including their timing relative to arrests. A second goal was to examine the relationship of forensic evidence to arrests. A third goal was to examine injury evidence and biological evidence in certain types of cases in which it may have had greater impact. To achieve these goals, the researchers created analysis data files that merged data from the Massachusetts Provided Sexual Crime Report, forensic evidence data from the two crime laboratories serving the state and data on arrests and criminal charges from 140 different police agencies.

The effects of a deliberate strategy to bolster organizational change in order to achieve the goals of the Comprehensive Gang Model (CGM) were tested in this study. The CGM goals of increasing community capacity to address gang and youth violence and reducing gang and youth violence were examined. A quasi-experimental design was used wherein two Massachusetts cities received a relational coordination intervention to boost organizational change and two similar Massachusetts cities were used as comparisons. Surveys, observational notes, and crime data assessed outcomes of interest. The intervention was carried out from March 2016 through August 2017. Survey and observational data were gathered during that time. Crime data from January 2014 through December 2018 was utilized to examine outcomes.