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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:
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 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).
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TwitterIn 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.
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TwitterIn 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.
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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:
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:
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).
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Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Milwaukee County, WI (DISCONTINUED) (FBITC055079) from 2006 to 2021 about Milwaukee County, WI; Milwaukee; crime; violent crime; property crime; WI; and USA.
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Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Rusk County, WI (DISCONTINUED) (FBITC055107) from 2005 to 2021 about Rusk County, WI; crime; violent crime; property crime; WI; and USA.
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Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Price County, WI (DISCONTINUED) (FBITC055099) from 2005 to 2020 about Price County, WI; crime; violent crime; property crime; WI; and USA.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for University of Wisconsin: Madison (University or College) in Wisconsin, including incidents, statistics, demographics, and detailed incident information.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for University of Wisconsin: River Falls (University or College) in Wisconsin, including incidents, statistics, demographics, and detailed incident information.
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TwitterThe “Crime Rate” is the number of Part I Index Crimes per 100,000 population. The crime rate for Janesville decreased 12% in 2019 from the previous year. The following chart shows the crime rate for the City of Janesville for a ten year period and the average crime rate during the same period.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for University of Wisconsin: Platteville (University or College) in Wisconsin, including incidents, statistics, demographics, and detailed incident information.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for University of Wisconsin: Eau Claire (University or College) in Wisconsin, including incidents, statistics, demographics, and detailed incident information.
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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).
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Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Vernon County, WI (DISCONTINUED) (FBITC055123) from 2005 to 2020 about Vernon County, WI; crime; violent crime; property crime; WI; and USA.
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TwitterThese data, intended for use in conjunction with JUVENILE DELINQUENCY AND ADULT CRIME, 1948-1977 [RACINE, WISCONSIN]: THREE BIRTH COHORTS (ICPSR 8163), are organized into two different types: Block data and Home data. Part 1, Block Data, contains the characteristics of each block in Racine for the years 1950, 1960, and 1970 as selected from the United States Census of Housing for each of these years. The data are presented for whole blocks for each year and for blocks agglomerated into equal spaces so that comparison may be made between the 1950, 1960, and 1970 data. In addition, land use and target density (gas stations, grocery and liquor stores, restaurants, and taverns) measures are included. The data were obtained from land use maps and city directories. These block data have been aggregated into census tracts, police grid areas, natural areas, and neighborhoods for the purpose of describing the spatial units of each in comparable fashion for 1950, 1960, and 1970. The information contained within the Block Data file is intended to be used to merge ecological data with any of the files described in the ICPSR 8163 codebook. The Home datasets (Parts 2-6) contain selected variables from the Block Data file merged with the Cohort Police Contact data or the Cohort Interview data from ICPSR 8163. The Home datasets represent the merged files used by the principal investigators for their analysis and are included here only as examples of how the files from ICPSR 8163 may be merged with the Block data.
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TwitterThis study sought to evaluate the Madison, Wisconsin, Police Department's creation of a new organizational design (both structural and managerial) that was intended to support community-oriented and problem-oriented policing. One-sixth of the organization serving approximately one-sixth of the community was used as a test site for the new community policing approach. This Experimental Police District (EPD) was charged with implementing "quality policing," which emphasized quality of service delivery, quality of life in the community, and quality of life in the workplace. For the first part of the program evaluation, attitude changes among officers working in the EPD were compared with those of officers working in the rest of the police department. Part 1, Commissioned Personnel Data, Wave 1, contains responses from 269 commissioned personnel surveyed in December 1987, before the creation of the EPD. Part 2, Commissioned Personnel Data, Wave 2, consists of responses from 264 police officers who completed a Wave 2 survey in December 1988, and Part 3, Commissioned Personnel Data, Wave 3, supplies responses from 230 police officers who completed a Wave 3 survey in December 1989. Although the analysis was to be based on a panel design, efforts were made to survey all commissioned personnel during each survey administration period. Police personnel provided their assessments on how successfully quality leadership had been implemented, the extent to which they worked closely with and received feedback from other officers, the amount of their interaction with detectives, the amount of time available for problem-solving, ease of arranging schedules, safety of working conditions, satisfaction with working conditions, type of work they performed, their supervisor, commitment to the department, attitudes related to community policing and problem-solving, perception of their relationship with the community, views of human nature, attitudes toward change, attitudes toward decentralization, and demographic information. As the second part of the program evaluation, attitude changes among residents served by the EPD were compared with those of residents in the rest of the city. These data are presented in Part 4, Residents Data, Waves 1 and 2. Data for Wave 1 consist of personal interviews with a random sample of 1,166 Madison residents in February and March 1988, prior to the opening of the EPD station. During the second wave, Wave 1 respondents were interviewed by telephone in February and March 1990. Residents provided their perceptions of police presence, frequency and quality of police-citizen contacts, estimates of the magnitude of various problems in their neighborhoods, evaluation of the problem-solving efforts of the police, perception of neighborhood conditions, levels of fear of crime, personal experience of victimization, knowledge of victimization of other residents, and demographic information.
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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.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for University of Wisconsin: Whitewater (University or College) in Wisconsin, including incidents, statistics, demographics, and detailed incident information.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Green; Dane County, Wisconsin, including incidents, statistics, demographics, and agency information.
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Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Washburn County, WI (DISCONTINUED) (FBITC055129) from 2005 to 2021 about Washburn County, WI; crime; violent crime; property crime; WI; and USA.
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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:
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 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).