Update Frequency: Daily

Current year to date. 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

This data is not intended to represent a total number/sum of crimes, rather 1 = True and 0 = False.

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).

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).

In 2023, around 3,640.56 violent crimes per 100,000 residents were reported in Oakland, California. This made Oakland the most dangerous city in the United States in that year. Four categories of violent crimes were used: murder and non-negligent manslaughter; forcible rape; robbery; and aggravated assault. Only cities with a population of at least 200,000 were considered.

Crime data upload test

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Waukesha County, WI (DISCONTINUED) (FBITC055133) from 2004 to 2021 about Waukesha County, WI; Milwaukee; crime; violent crime; property crime; WI; and USA.

The purpose of this project was to conduct an evaluation of the impact on crime of the closing, renovation, and subsequent reopening of selected public housing developments under the United States Department of Housing and Urban Development's (HUD) Housing Opportunities for People Everywhere (HOPE VI) initiative. The study examined crime displacement and potential diffusion of benefits in and around five public housing developments that, since 2000, had been redeveloped using funds from HUD's HOPE VI initiative and other sources. In Milwaukee, Wisconsin, three sites were selected for inclusion in the study. However, due to substantial overlap between the various target sites and displacement zones, the research team ultimately decided to aggregate the three sites into a single target area. A comparison area was then chosen based on recommendations from the Housing Authority of the City of Milwaukee (HACM). In Washington, DC, two HOPE VI sites were selected for inclusion in the study. Based on recommendations from the District of Columbia Housing Authority (DCHA), the research team selected a comparison site for each of the two target areas. Displacement areas were then drawn as concentric rings ("buffers") around the target areas in both Milwaukee, Wisconsin and Washington, DC. Address-level incident data were collected for the city of Milwaukee from the Milwaukee Police Department for the period January 2002 through February 2010. Incident data included all "Group A" offenses as classified under National Incident Based Reporting System (NIBRS). The research team classified the offenses into personal and property offenses. The offenses were aggregated into monthly counts, yielding 98 months of data (Part 1: Milwaukee, Wisconsin Data). Address-level data were also collected for Washington, DC from the Metropolitan Police Department for the time period January 2000 through September 2009. Incident data included all Part I offenses as classified under the Uniform Crime Report (UCR) system. The data were classified by researchers into personal and property offenses and aggregated by month, yielding 117 months of data (Part 2: Washington, DC Data). Part 1 contains 15 variables, while Part 2 contains a total of 27 variables. Both datasets include variables on the number of personal offenses reported per month, the number of property offenses reported per month, and the total number of incidents reported per month for each target site, buffer zone area (1000 feet or 2000 feet), and comparison site. Month and year indicators are also included in each dataset.

Update Frequency: Datasets are refreshed every night to ensure the most current information is available. Even if there are no changes, the data will be updated nightly.

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.

Crimes that occurred within the last month in the City of Milwaukee, data from Milwaukee Police Department. Crimes are not shown at the exact location to protect the victim's identity.

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.

XY fields in data is in projection Wisconsin State Plane South NAD27 (WKID 32054).

In 2020, Memphis, TN-MS-AR reported 1,358.8 violent crimes per 100,000 inhabitants, the most out of any metro area in the United States. Monroe, LA followed closely behind, with a violent crime rate of 1,308.5 crimes per 100,000 inhabitants.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Milwaukee County, WI was 298.00000 Known Incidents in January of 2021, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Milwaukee County, WI reached a record high of 605.00000 in January of 2012 and a record low of 9.00000 in January of 2006. 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 Milwaukee County, WI - last updated from the United States Federal Reserve on July of 2025.

The goal of this project was to analyze the collaboration between the Urban Institute and Milwaukee Police Department (MPD) to develop a plan to optimize MPD's public surveillance system. This was done through a process and impact evaluation of the MPD's strategy to improve operations, install new cameras, and integrate video analytic (VA) technologies centered around automatic license plate recognition (ALPR) and high-definition cameras connected to gunshot detection technology. The unit of analysis was two neighborhoods in Milwaukee, identified as "focus areas" by the researchers, where VA efforts were intensified. Additionally, all block groups within Milwaukee were included to measure crime before and after intervention, along with all intersections and block groups that received VA technologies against control groups. Variables include crimes based on date and location, along with whether or not locations had VA technologies. The following neighborhood demographic variables were included from the United States Census Bureau: resided in a different home, renters, under age eighteen, black residents, female headed households, public assistance recipients, below poverty line, unemployment, Hispanic residents, and foreign born.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Washington County, WI (DISCONTINUED) (FBITC055131) from 2004 to 2020 about Washington County, WI; Milwaukee; crime; violent crime; property crime; WI; and USA.

This study examined employers' policies and practices for hiring entry-level workers in the Milwaukee metropolitan area. The study consisted of telephone interviews conducted in the spring of 2002 with 177 employers who had advertised entry-level openings in the prior six months. The survey included questions about the company, such as size, industry, employee turnover, and racial composition, questions about hiring procedures, questions about the last worker hired for a position not requiring a college degree, and questions about the employer's attitude toward various kinds of marginalized workers. An emphasis in the survey was placed on assessing employers' attitudes about and experience with applicants with criminal histories.

This study was designed to examine victim and witness attitudes, beliefs, problems, and needs as a result of the criminal act and as a consequence of interactions with the criminal justice system. The study dealt with three samples. Two of the samples included victims and witnesses currently involved in the criminal justice system in Milwaukee County, Wisconsin ("in-system" samples). The third sample included was of victims originally located by the National Crime Survey conducted in Milwaukee in early 1974, who were reinterviewed on behalf of this project by the United States Bureau of the Census ("community" sample). Members of the "in-system" samples were contacted as their cases were considered at one of four stages in the criminal justice process: (1) the screening conference in the district attorney's office, (2) the preliminary hearing, (3) the misdemeanor trial, or (4) the felony trial. Both the in-system and community respondents were asked about their attitudes toward security and safety, criminals, and restitution, what problems crime victims may have as a result of experiencing the crime and going to court, and their satisfaction with the handling of their case by the police, the district attorney, and the judge. Incident data cover the respondent's relationship to the offender, injuries sustained, type of crime and what happened, reason for calling/not calling police, and losses resulting from the crime. Follow-up data supply information on resulting emotional problems and other problems resulting from the crime, how people close to the respondent were affected, financial, interpersonal, and physical-emotional crime-related problems, and court system-related problems. Additional questions were asked about the types of services provided by social agencies to the crime victims and witnesses, the respondent's opinion of the behavior of the police, and, for victims, perceptions of the importance of providing help for crime victims. Demographic variables include age, education, race, sex, income, occupational prestige status, and employment history of respondents.

This data collection effort was designed to assess the effects of different types of supervised pretrial release (SPR). Four major types of effects were examined: (1) defendants' behaviors while awaiting trial (failure to appear and arrests for new offenses), (2) the costs of SPR to victims and the criminal justice system, (3) pretrial release practices, and (4) jail populations. This study provides detailed information for a selected group of defendants awaiting trial on criminal histories and arrests while awaiting trial. Data are also available on services provided between arrest and disposition. The study produced four different data sets. The first, Supervised Release Information System (SRIS), contains intake information on current arrest, criminal record, socio-economic status, ties with the community, contact with mental health and substance abuse facilities, and pretrial release decisions. The release section of this data base contains information on services provided, intensity of supervision, termination from program, personal characteristics at termination, criminal charges at disposition, and new charges resulting from arrests while under pretrial status. The Arrest Data Set includes variables on type and number of crimes committed by SPR defendants, property costs to victims, personal injury costs, and court disposition for each offense. The Retrospective Data Set supplies variables on charges filed and method of release, personal characteristics, length of pretrial incarceration, bail, whether the defendant was rebooked during the pretrial period, charge at disposition, sentence, total court appearances, and total failures to appear in court (FTAs). The Jail Population Data Set contains monthly counts of jail population and average daily population.