52 datasets found
  1. d

    Crime Incidents in the Last 30 Days

    • catalog.data.gov
    • opendata.dc.gov
    • +4more
    Updated Aug 20, 2025
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    Metropolitan Police Department (2025). Crime Incidents in the Last 30 Days [Dataset]. https://catalog.data.gov/dataset/crime-incidents-in-the-last-30-days
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    Dataset updated
    Aug 20, 2025
    Dataset provided by
    Metropolitan Police Department
    Description

    The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit https://crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.

  2. Reported violent crime rate U.S. 2023, by state

    • statista.com
    Updated Nov 14, 2024
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    Statista (2024). Reported violent crime rate U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/200445/reported-violent-crime-rate-in-the-us-states/
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    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    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.

  3. d

    DC Crime Cards

    • catalog.data.gov
    • opendata.dc.gov
    Updated Feb 5, 2025
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    City of Washington, DC (2025). DC Crime Cards [Dataset]. https://catalog.data.gov/dataset/dc-crime-cards
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    City of Washington, DC
    Area covered
    Washington
    Description

    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), the Office of the Chief Technology Officer (OCTO), and community members who participated at the #SafterStrongerSmarterDC roundtable design review.

  4. Washington DC Crime Incidents in 2023

    • datalumos.org
    Updated Aug 26, 2025
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    District of Columbia Metropolitan Police Department (MPD) (2025). Washington DC Crime Incidents in 2023 [Dataset]. http://doi.org/10.3886/E237456V1
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    Dataset updated
    Aug 26, 2025
    Dataset provided by
    Metropolitan Police Department of the District of Columbiahttps://mpdc.dc.gov/
    Authors
    District of Columbia Metropolitan Police Department (MPD)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Washington
    Description

    Abstract: The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.Purpose: On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments. This change was not applied to datasets pre-2020.Supplemental Information: All statistics presented in Crime Cards are based on preliminary DC criminal code offense definitions. The data do not represent official statistics submitted to the FBI under the Uniform Crime Reporting program (UCR) or National Incident Based Reporting System (NIBRS). All preliminary offenses are coded based on DC criminal code and not the FBI offense classifications. Please understand that any comparisons between MPD preliminary data as published on this website and the official crime statistics published by the FBI under the Uniform Crime Reporting Program (UCR) are inaccurate and misleading. The MPD does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The MPD will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. Please note that changes to MPD's PSA and police district boundaries occasionally occur. The statistics provided through DC Crime Mapping Application are based on current police boundaries as of January 3, 2017. Sex Assault Data Availability: In an effort to provide more clear information about the most serious sex assaults that are most closely aligned with the public's perception of rape and attempted rape, the most serious sex abuse categories are included in the reports of DC Code Index Violent Crimes: Sex Assault. The figures reported in this category include First Degree Sex Abuse, Second Degree Sex Abuse, Attempted First Degree Sex Abuse and Assault with Intent to Commit First Degree Sex Abuse against adults. Data in this format is available online from 2011. Similar to the other offense data, the sex assault statistics are subject to change due to a variety of reasons, such as a change in classification, the determination that certain offense reports were unfounded, or late reporting. Please understand that any comparisons between MPD preliminary data as published on this website and the official crime statistics published by the FBI under the Uniform Crime Reporting Program (UCR) are inaccurate and misleading. Please also be aware that on Sunday, August 23, 2015, the MPD implemented a new records management system called Cobalt. The offense categories presented within this application have remained the same; however, all statistics are subject to change due to a variety of reasons, such as a change in classification, the determination that certain offense reports were unfounded, or late reporting. All statistics presented in Crime Cards are based on preliminary DC Index crime data reported from 2009 up to a second before midnight today (that's 11:59:59 pm yesterday) . They are compiled based on the date the offense was reported ( Report Date) to the police department. The date and time window of the crime’s occurrence is provided in the See a detailed list… car

  5. Washington DC Crime Incidents in 2013

    • datalumos.org
    Updated Aug 26, 2025
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    District of Columbia Metropolitan Police Department (MPD) (2025). Washington DC Crime Incidents in 2013 [Dataset]. http://doi.org/10.3886/E237447V1
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    Dataset updated
    Aug 26, 2025
    Dataset provided by
    Metropolitan Police Department of the District of Columbiahttps://mpdc.dc.gov/
    Authors
    District of Columbia Metropolitan Police Department (MPD)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Washington
    Description

    Abstract: The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.Purpose: On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments. This change was not applied to datasets pre-2020.Supplemental Information: All statistics presented in Crime Cards are based on preliminary DC criminal code offense definitions. The data do not represent official statistics submitted to the FBI under the Uniform Crime Reporting program (UCR) or National Incident Based Reporting System (NIBRS). All preliminary offenses are coded based on DC criminal code and not the FBI offense classifications. Please understand that any comparisons between MPD preliminary data as published on this website and the official crime statistics published by the FBI under the Uniform Crime Reporting Program (UCR) are inaccurate and misleading. The MPD does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The MPD will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. Please note that changes to MPD's PSA and police district boundaries occasionally occur. The statistics provided through DC Crime Mapping Application are based on current police boundaries as of January 3, 2017. Sex Assault Data Availability: In an effort to provide more clear information about the most serious sex assaults that are most closely aligned with the public's perception of rape and attempted rape, the most serious sex abuse categories are included in the reports of DC Code Index Violent Crimes: Sex Assault. The figures reported in this category include First Degree Sex Abuse, Second Degree Sex Abuse, Attempted First Degree Sex Abuse and Assault with Intent to Commit First Degree Sex Abuse against adults. Data in this format is available online from 2011. Similar to the other offense data, the sex assault statistics are subject to change due to a variety of reasons, such as a change in classification, the determination that certain offense reports were unfounded, or late reporting. Please understand that any comparisons between MPD preliminary data as published on this website and the official crime statistics published by the FBI under the Uniform Crime Reporting Program (UCR) are inaccurate and misleading. Please also be aware that on Sunday, August 23, 2015, the MPD implemented a new records management system called Cobalt. The offense categories presented within this application have remained the same; however, all statistics are subject to change due to a variety of reasons, such as a change in classification, the determination that certain offense reports were unfounded, or late reporting. All statistics presented in Crime Cards are based on preliminary DC Index crime data reported from 2009 up to a second before midnight today (that's 11:59:59 pm yesterday) . They are compiled based on the date the offense was reported ( Report Date) to the police department. The date and time window of the crime’s occurrence is provided in the See a detailed list… car

  6. Washington DC Crime Incidents in 2024

    • datalumos.org
    Updated Aug 26, 2025
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    District of Columbia Metropolitan Police Department (MPD) (2025). Washington DC Crime Incidents in 2024 [Dataset]. http://doi.org/10.3886/E237457V1
    Explore at:
    Dataset updated
    Aug 26, 2025
    Dataset provided by
    Metropolitan Police Department of the District of Columbiahttps://mpdc.dc.gov/
    Authors
    District of Columbia Metropolitan Police Department (MPD)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Washington
    Description

    Abstract: The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.Purpose: On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments. This change was not applied to datasets pre-2020.Supplemental Information: All statistics presented in Crime Cards are based on preliminary DC criminal code offense definitions. The data do not represent official statistics submitted to the FBI under the Uniform Crime Reporting program (UCR) or National Incident Based Reporting System (NIBRS). All preliminary offenses are coded based on DC criminal code and not the FBI offense classifications. Please understand that any comparisons between MPD preliminary data as published on this website and the official crime statistics published by the FBI under the Uniform Crime Reporting Program (UCR) are inaccurate and misleading. The MPD does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The MPD will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. Please note that changes to MPD's PSA and police district boundaries occasionally occur. The statistics provided through DC Crime Mapping Application are based on current police boundaries as of January 3, 2017. Sex Assault Data Availability: In an effort to provide more clear information about the most serious sex assaults that are most closely aligned with the public's perception of rape and attempted rape, the most serious sex abuse categories are included in the reports of DC Code Index Violent Crimes: Sex Assault. The figures reported in this category include First Degree Sex Abuse, Second Degree Sex Abuse, Attempted First Degree Sex Abuse and Assault with Intent to Commit First Degree Sex Abuse against adults. Data in this format is available online from 2011. Similar to the other offense data, the sex assault statistics are subject to change due to a variety of reasons, such as a change in classification, the determination that certain offense reports were unfounded, or late reporting. Please understand that any comparisons between MPD preliminary data as published on this website and the official crime statistics published by the FBI under the Uniform Crime Reporting Program (UCR) are inaccurate and misleading. Please also be aware that on Sunday, August 23, 2015, the MPD implemented a new records management system called Cobalt. The offense categories presented within this application have remained the same; however, all statistics are subject to change due to a variety of reasons, such as a change in classification, the determination that certain offense reports were unfounded, or late reporting. All statistics presented in Crime Cards are based on preliminary DC Index crime data reported from 2009 up to a second before midnight today (that's 11:59:59 pm yesterday) . They are compiled based on the date the offense was reported ( Report Date) to the police department. The date and time window of the crime’s occurrence is provided in the See a detailed list… car

  7. d

    Crime Incidents in 2025

    • opendata.dc.gov
    • catalog.data.gov
    • +2more
    Updated Jan 1, 2025
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    City of Washington, DC (2025). Crime Incidents in 2025 [Dataset]. https://opendata.dc.gov/datasets/crime-incidents-in-2025/about
    Explore at:
    Dataset updated
    Jan 1, 2025
    Dataset authored and provided by
    City of Washington, DC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.

  8. Data from: Anticipating and Combating Community Decay and Crime in...

    • catalog.data.gov
    • icpsr.umich.edu
    • +1more
    Updated Mar 12, 2025
    + more versions
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    National Institute of Justice (2025). Anticipating and Combating Community Decay and Crime in Washington, DC, and Cleveland, Ohio, 1980-1990 [Dataset]. https://catalog.data.gov/dataset/anticipating-and-combating-community-decay-and-crime-in-washington-dc-and-cleveland-o-1980-4d93c
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    Cleveland, Ohio, Washington
    Description

    The Urban Institute undertook a comprehensive assessment of communities approaching decay to provide public officials with strategies for identifying communities in the early stages of decay and intervening effectively to prevent continued deterioration and crime. Although community decline is a dynamic spiral downward in which the physical condition of the neighborhood, adherence to laws and conventional behavioral norms, and economic resources worsen, the question of whether decay fosters or signals increasing risk of crime, or crime fosters decay (as investors and residents flee as reactions to crime), or both, is not easily answered. Using specific indicators to identify future trends, predictor models for Washington, DC, and Cleveland were prepared, based on data available for each city. The models were designed to predict whether a census tract should be identified as at risk for very high crime and were tested using logistic regression. The classification of a tract as a "very high crime" tract was based on its crime rate compared to crime rates for other tracts in the same city. To control for differences in population and to facilitate cross-tract comparisons, counts of crime incidents and other events were converted to rates per 1,000 residents. Tracts with less than 100 residents were considered nonresidential or institutional and were deleted from the analysis. Washington, DC, variables include rates for arson and drug sales or possession, percentage of lots zoned for commercial use, percentage of housing occupied by owners, scale of family poverty, presence of public housing units for 1980, 1983, and 1988, and rates for aggravated assaults, auto thefts, burglaries, homicides, rapes, and robberies for 1980, 1983, 1988, and 1990. Cleveland variables include rates for auto thefts, burglaries, homicides, rapes, robberies, drug sales or possession, and delinquency filings in juvenile court, and scale of family poverty for 1980 through 1989. Rates for aggravated assaults are provided for 1986 through 1989 and rates for arson are provided for 1983 through 1988.

  9. v

    District Gun Violence Dashboards

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • opendata.dc.gov
    • +1more
    Updated Mar 18, 2025
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    Office of Gun Violence Prevention (2025). District Gun Violence Dashboards [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/district-gun-violence-dashboards
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    Dataset updated
    Mar 18, 2025
    Dataset provided by
    Office of Gun Violence Prevention
    Description

    The Office of Gun Violence Prevention (OGVP) shares real-time gun violence data to increase government transparency, improve the public's awareness, and support community-based gun violence prevention and reduction partners. All District crime data is available through Crime Cards. The dashboards below focus on gun violence only. The data in these dashboards is updated daily at 7:40AM with the incidents from the day before. View data covering 7-Day Look-back of Gun Violence and Year-to-date Gun Violence.All statistics presented here are based on preliminary DC criminal code offense definitions. The data do not represent official statistics submitted to the FBI under the Uniform Crime Reporting program (UCR) or National Incident Based Reporting System (NIBRS). All preliminary offenses are coded based on DC criminal code and not the FBI offense classifications. Please understand that any comparisons between MPD preliminary data as published on this website and the official crime statistics published by the FBI under the Uniform Crime Reporting Program (UCR) are inaccurate and misleading. The MPD does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The MPD will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. Read complete data notes at buildingblocks.dc.gov/data.

  10. Data from: Research on Minorities, [1981]: Race and Crime in Atlanta and...

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
    + more versions
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    National Institute of Justice (2025). Research on Minorities, [1981]: Race and Crime in Atlanta and Washington, DC [Dataset]. https://catalog.data.gov/dataset/research-on-minorities-1981-race-and-crime-in-atlanta-and-washington-dc-b3d95
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    Atlanta, Washington
    Description

    This data collection effort is an investigation of criminological and sociological factors within the Black community with a focus on the alleged high incidence of violent crime committed by Blacks. Four communities within Atlanta, Georgia, and four within Washington, DC, were selected for the study. Two communities in each area were designated high-crime areas, the other two low-crime areas. Variables include the respondents' opinions on the relationship of race and socioeconomic class to crime, their fear of crime and experiences with crime, and contacts and attitudes toward the police. Demographic data include respondents' gender and religion.

  11. Death rate for homicide in the U.S. 1950-2019

    • statista.com
    Updated Oct 25, 2024
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    Statista (2024). Death rate for homicide in the U.S. 1950-2019 [Dataset]. https://www.statista.com/statistics/187592/death-rate-from-homicide-in-the-us-since-1950/
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    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2019, there were six deaths by homicide per 100,000 of the population in the United States, compared to 5.9 deaths by homicide in the previous year. This is an increase from 1950, when there were 5.1 deaths by homicide per 100,000 resident population in the United States. However, within the provided time period, the death rate for homicide in the U.S. was highest in 1980, when there were 10.4 deaths by homicide per 100,000 of the population in the United States.

    Homicides in the United States

    The term homicide is used when a human being is killed by another human being. Criminal homicide takes several forms, for example murder; but homicide is not always a crime, it also includes affirmative defense, insanity, self-defense or the execution of convicted criminals. In the United States, youth homicide has especially been seen as a problem of urban areas, due to poverty, limited adult supervision, involvement in drug and gang activities, and school failure. Both homicide rates and suicide rates in the U.S. among people aged 20 to 24 and teenagers aged 15 to 19 have vastly increased since 2001.

  12. d

    Data from: Crime Incident Data for Selected HOPE VI Sites in Milwaukee,...

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
    + more versions
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    National Institute of Justice (2025). Crime Incident Data for Selected HOPE VI Sites in Milwaukee, Wisconsin, 2002-2010, and Washington, DC, 2000-2009 [Dataset]. https://catalog.data.gov/dataset/crime-incident-data-for-selected-hope-vi-sites-in-milwaukee-wisconsin-2002-2010-and-w-2000-5041b
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justice
    Area covered
    Milwaukee, Wisconsin, Washington
    Description

    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.

  13. d

    Homicide Reduction Partnership Areas

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated Feb 5, 2025
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    D.C. Office of the Chief Technology Officer (2025). Homicide Reduction Partnership Areas [Dataset]. https://catalog.data.gov/dataset/homicide-reduction-partnership-areas
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    Homicide Reduction Partnership, a collaborative effort to reduce violent crime through strategic prevention and focused enforcement. With this new partnership, MPD will focus resources and intelligence-led policing strategies in collaboration with local and federal law enforcement and criminal justice partners, DC government agencies, and community partners.The Homicides Reduction Partnership (HRP) will focus on reducing violent crime within four Police Service Areas throughout the entire 2022 calendar year. These areas include PSAs 603, 604, 706 and 708, which accounted for 21% of all murders city-wide in 2021. The objective of the HRP is to use a “whole of government” approach to reduce violent crime, have a positive impact on the community’s perception of safety and security, and increase trust among residents in the police and DC government. By committing an entire year, the goal is to sustain success after the conclusion of the initiative.For more information visit https://dc.gov/release/mayor-bowser-announces-new-year-round-partnership-focused-violent-crime

  14. d

    Felony Crime Incidents in 2016

    • opendata.dc.gov
    • datasets.ai
    • +4more
    Updated Mar 15, 2018
    + more versions
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    City of Washington, DC (2018). Felony Crime Incidents in 2016 [Dataset]. https://opendata.dc.gov/datasets/DCGIS::felony-crime-incidents-in-2016
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    Dataset updated
    Mar 15, 2018
    Dataset authored and provided by
    City of Washington, DC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The dataset contains records of felony crime incidents recorded by the District of Columbia Metropolitan Police Department in 2016. Visit mpdc.dc.gov/page/data-and-statistics for more information.

  15. Drugs and Crime in Public Housing, 1986-1989: Los Angeles, Phoenix, and...

    • icpsr.umich.edu
    • catalog.data.gov
    ascii, sas, spss +1
    Updated Jan 12, 2006
    + more versions
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    Dunworth, Terence; Saiger, Aaron (2006). Drugs and Crime in Public Housing, 1986-1989: Los Angeles, Phoenix, and Washington, DC [Dataset]. http://doi.org/10.3886/ICPSR06235.v1
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    sas, stata, spss, asciiAvailable download formats
    Dataset updated
    Jan 12, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Dunworth, Terence; Saiger, Aaron
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/6235/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6235/terms

    Time period covered
    1986 - 1989
    Area covered
    Phoenix, Washington, Los Angeles, California, United States, Arizona
    Description

    This study investigates rates of serious crime for selected public housing developments in Washington, DC, Phoenix, Arizona, and Los Angeles, California, for the years 1986 to 1989. Offense rates in housing developments were compared to rates in nearby areas of private housing as well as to city-wide rates. In addition, the extent of law enforcement activity in housing developments as represented by arrests was considered and compared to arrest levels in other areas. This process allowed both intra-city and inter-city comparisons to be made. Variables cover study site, origin of data, year of event, offense codes, and location of event. Los Angeles files also include police division.

  16. v

    Bias Crime

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • opendata.dc.gov
    • +2more
    Updated May 28, 2025
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    Metropolitan Police Department (2025). Bias Crime [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/bias-crime
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    Dataset updated
    May 28, 2025
    Dataset provided by
    Metropolitan Police Department
    Description

    It is important for the community to understand what is – and is not – a hate crime. First and foremost, the incident must be a crime. Although that may seem obvious, most speech is not a hate crime, regardless of how offensive it may be. In addition, a hate crime is not a crime, but a possible motive for a crime.It can be difficult to establish a motive for a crime. Therefore, the classification as a hate crime is subject to change as an investigation proceeds – even as prosecutors continue an investigation. If a person is found guilty of a hate crime, the court may fine the offender up to 1½ times the maximum fine and imprison him or her for up to 1½ times the maximum term authorized for the underlying crime.While the District strives to reduce crime for all residents of and visitors to the city, hate crimes can make a particular community feel vulnerable and more fearful. This is unacceptable, and is the reason everyone must work together not just to address allegations of hate crimes, but also to proactively educate the public about hate crimes.The figures in this data align with DC Official Code 22-3700. Because the DC statute differs from the FBI Uniform Crime Reporting (UCR) and National Incident-Based Reporting System (NIBRS) definitions, these figures may be higher than those reported to the FBI.Each month, an MPD team reviews crimes that have been identified as potentially motivated by hate/bias to determine whether there is sufficient information to support that designation. The data in this document is current through the end of the most recent month.The hate crimes dataset is not an official MPD database of record and may not match details in records pulled from the official Records Management System (RMS).Unknown or blank values in the Targeted Group field may be present prior to 2016 data. As of January 2022, an offense with multiple bias categories would be reflected as such.Data is updated on the 15th of every month.

  17. w

    Crime Mapper: Elliston (DC) Local Government Area

    • data.wu.ac.at
    • data.gov.au
    html
    Updated Oct 27, 2016
    + more versions
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    South Australian Governments (2016). Crime Mapper: Elliston (DC) Local Government Area [Dataset]. https://data.wu.ac.at/schema/data_gov_au/NzcyY2E2NmItMjM2Zi00MjA1LWI3ZDItMGMzMWIxYTM5NGY5
    Explore at:
    html(76550.0)Available download formats
    Dataset updated
    Oct 27, 2016
    Dataset provided by
    South Australian Governments
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: 1. Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . 2. Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

  18. c

    Dashboards and Visualizations Gallery

    • s.cnmilf.com
    • datasets.ai
    • +2more
    Updated Feb 4, 2025
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    City of Washington, DC (2025). Dashboards and Visualizations Gallery [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/dashboards-and-visualizations-gallery
    Explore at:
    Dataset updated
    Feb 4, 2025
    Dataset provided by
    City of Washington, DC
    Description

    The District of Columbia offers several interactive online visualizations highlighting data and information from various fields of interest such as crime statistics, public school profiles, detailed property information and more. The web visualizations in this group present data coming from agencies across the Government of the District of Columbia. Click each to read a brief introduction and to access the site. This app is embedded in https://opendata.dc.gov/pages/dashboards.

  19. a

    Crime Incidents in 2024

    • hub.arcgis.com
    • opendata.dc.gov
    • +4more
    Updated Dec 19, 2023
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    City of Washington, DC (2023). Crime Incidents in 2024 [Dataset]. https://hub.arcgis.com/datasets/c5a9f33ffca546babbd91de1969e742d
    Explore at:
    Dataset updated
    Dec 19, 2023
    Dataset authored and provided by
    City of Washington, DC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.

  20. w

    Crime Mapper: Robe (DC) Local Government Area

    • data.wu.ac.at
    • data.gov.au
    html
    Updated Oct 27, 2016
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    South Australian Governments (2016). Crime Mapper: Robe (DC) Local Government Area [Dataset]. https://data.wu.ac.at/schema/data_gov_au/YTUyMWJiZjUtZTY1Yi00Yjg2LTgwNDctZmMyNDI0YzE4Zjg4
    Explore at:
    html(76858.0)Available download formats
    Dataset updated
    Oct 27, 2016
    Dataset provided by
    South Australian Governments
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Crime Mapper is an online application that provides the geographic distribution of recorded crime across South Australia. Two units of measurement are reported: 1. Number of offences - provides a count of all offences listed on all incident reports recorded by South Australia Police . 2. Rate per 1,000 estimated resident population - provides the number of offences as a rate per 1,000 population residing in each given location. Offences are categorised as follows: • Offences against the person (homicide; major assault; other); • Sexual offences (rape; indecent assault; unlawful sexual intercourse; other); • Robbery and extortion offences (armed robbery; unarmed robbery; extortion); • Offences against property (serious criminal trespass/break and enter; fraud and misappropriation; receiving/illegal possession of stolen goods; larceny/illegal use of a motor vehicle; other larceny; larceny from shops; larceny from a motor vehicle; arson/explosives; property damage and environmental offences); • Offences against good order; • Drug offences (possess/use drugs; sell/trade drugs; produce/manufacture drugs; possess implement for drug use; other); • Driving offences (driving under the influence of alcohol/drugs; dangerous driving; driving licence offences; traffic offences; motor vehicle registration offences; other); or • Other offences. When using Crime Mapper it is important to understand that the statistics it contains may not provide an accurate measure of the true prevalence or incidence of crime in a community. Crime Mapper statistics represent only those offences reported to police or which come to the attention of police. They can, therefore, be influenced by a number of factors, including victim reporting rates, the identification or detection of offences by police (in the case of ‘victimless’ crimes) and police interpretation and decision as to whether a crime has occurred. In addition, Crime Mapper does not include offences that are dealt with by way of expiation (e.g., speeding, littering, etc.). Please also see explanatory notes: http://www.ocsar.sa.gov.au/about2.html

Share
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Email
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Link copied
Close
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Metropolitan Police Department (2025). Crime Incidents in the Last 30 Days [Dataset]. https://catalog.data.gov/dataset/crime-incidents-in-the-last-30-days

Crime Incidents in the Last 30 Days

Explore at:
Dataset updated
Aug 20, 2025
Dataset provided by
Metropolitan Police Department
Description

The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit https://crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.

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