32 datasets found
  1. C

    Violence Reduction - Victim Demographics - Aggregated

    • data.cityofchicago.org
    • s.cnmilf.com
    • +1more
    csv, xlsx, xml
    Updated Dec 2, 2025
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    City of Chicago (2025). Violence Reduction - Victim Demographics - Aggregated [Dataset]. https://data.cityofchicago.org/Public-Safety/Violence-Reduction-Victim-Demographics-Aggregated/gj7a-742p
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    City of Chicago
    Description

    This dataset contains aggregate data on violent index victimizations at the quarter level of each year (i.e., January – March, April – June, July – September, October – December), from 2001 to the present (1991 to present for Homicides), with a focus on those related to gun violence. Index crimes are 10 crime types selected by the FBI (codes 1-4) for special focus due to their seriousness and frequency. This dataset includes only those index crimes that involve bodily harm or the threat of bodily harm and are reported to the Chicago Police Department (CPD). Each row is aggregated up to victimization type, age group, sex, race, and whether the victimization was domestic-related. Aggregating at the quarter level provides large enough blocks of incidents to protect anonymity while allowing the end user to observe inter-year and intra-year variation. Any row where there were fewer than three incidents during a given quarter has been deleted to help prevent re-identification of victims. For example, if there were three domestic criminal sexual assaults during January to March 2020, all victims associated with those incidents have been removed from this dataset. Human trafficking victimizations have been aggregated separately due to the extremely small number of victimizations.

    This dataset includes a " GUNSHOT_INJURY_I " column to indicate whether the victimization involved a shooting, showing either Yes ("Y"), No ("N"), or Unknown ("UKNOWN.") For homicides, injury descriptions are available dating back to 1991, so the "shooting" column will read either "Y" or "N" to indicate whether the homicide was a fatal shooting or not. For non-fatal shootings, data is only available as of 2010. As a result, for any non-fatal shootings that occurred from 2010 to the present, the shooting column will read as “Y.” Non-fatal shooting victims will not be included in this dataset prior to 2010; they will be included in the authorized dataset, but with "UNKNOWN" in the shooting column.

    The dataset is refreshed daily, but excludes the most recent complete day to allow CPD time to gather the best available information. Each time the dataset is refreshed, records can change as CPD learns more about each victimization, especially those victimizations that are most recent. The data on the Mayor's Office Violence Reduction Dashboard is updated daily with an approximately 48-hour lag. As cases are passed from the initial reporting officer to the investigating detectives, some recorded data about incidents and victimizations may change once additional information arises. Regularly updated datasets on the City's public portal may change to reflect new or corrected information.

    How does this dataset classify victims?

    The methodology by which this dataset classifies victims of violent crime differs by victimization type:

    Homicide and non-fatal shooting victims: A victimization is considered a homicide victimization or non-fatal shooting victimization depending on its presence in CPD's homicide victims data table or its shooting victims data table. A victimization is considered a homicide only if it is present in CPD's homicide data table, while a victimization is considered a non-fatal shooting only if it is present in CPD's shooting data tables and absent from CPD's homicide data table.

    To determine the IUCR code of homicide and non-fatal shooting victimizations, we defer to the incident IUCR code available in CPD's Crimes, 2001-present dataset (available on the City's open data portal). If the IUCR code in CPD's Crimes dataset is inconsistent with the homicide/non-fatal shooting categorization, we defer to CPD's Victims dataset.

    For a criminal homicide, the only sensible IUCR codes are 0110 (first-degree murder) or 0130 (second-degree murder). For a non-fatal shooting, a sensible IUCR code must signify a criminal sexual assault, a robbery, or, most commonly, an aggravated battery. In rare instances, the IUCR code in CPD's Crimes and Victims dataset do not align with the homicide/non-fatal shooting categorization:

    1. In instances where a homicide victimization does not correspond to an IUCR code 0110 or 0130, we set the IUCR code to "01XX" to indicate that the victimization was a homicide but we do not know whether it was a first-degree murder (IUCR code = 0110) or a second-degree murder (IUCR code = 0130).
    2. When a non-fatal shooting victimization does not correspond to an IUCR code that signifies a criminal sexual assault, robbery, or aggravated battery, we enter “UNK” in the IUCR column, “YES” in the GUNSHOT_I column, and “NON-FATAL” in the PRIMARY column to indicate that the victim was non-fatally shot, but the precise IUCR code is unknown.

    Other violent crime victims: For other violent crime types, we refer to the IUCR classification that exists in CPD's victim table, with only one exception:

    1. When there is an incident that is associated with no victim with a matching IUCR code, we assume that this is an error. Every crime should have at least 1 victim with a matching IUCR code. In these cases, we change the IUCR code to reflect the incident IUCR code because CPD's incident table is considered to be more reliable than the victim table.

    Note: All businesses identified as victims in CPD data have been removed from this dataset.

    Note: The definition of “homicide” (shooting or otherwise) does not include justifiable homicide or involuntary manslaughter. This dataset also excludes any cases that CPD considers to be “unfounded” or “noncriminal.”

    Note: In some instances, the police department's raw incident-level data and victim-level data that were inputs into this dataset do not align on the type of crime that occurred. In those instances, this dataset attempts to correct mismatches between incident and victim specific crime types. When it is not possible to determine which victims are associated with the most recent crime determination, the dataset will show empty cells in the respective demographic fields (age, sex, race, etc.).

    Note: The initial reporting officer usually asks victims to report demographic data. If victims are unable to recall, the reporting officer will use their best judgment. “Unknown” can be reported if it is truly unknown.

  2. C

    2012 Chicago Murder Statistics

    • data.cityofchicago.org
    Updated Dec 2, 2025
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    Chicago Police Department (2025). 2012 Chicago Murder Statistics [Dataset]. https://data.cityofchicago.org/Public-Safety/2012-Chicago-Murder-Statistics/ws3w-ba2s
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    kmz, kml, xml, application/geo+json, xlsx, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    Authors
    Chicago Police Department
    Area covered
    Chicago
    Description

    This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes 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 Chicago 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 Chicago 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 Chicago 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 Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago 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. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

  3. C

    Gun Crimes Heat Map

    • abajournal.com
    csv, xlsx, xml
    Updated Oct 4, 2025
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    Chicago Police Department (2025). Gun Crimes Heat Map [Dataset]. https://www.abajournal.com/magazine/article/from_playgrounds_to_battlegrounds_chicago_teens_tell_how_guns_affected_them
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Oct 4, 2025
    Authors
    Chicago Police Department
    Description

    This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes 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 Chicago 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 Chicago 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 Chicago 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 Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago 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. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

  4. C

    Violence Reduction - Victims of Homicides and Non-Fatal Shootings

    • data.cityofchicago.org
    • catalog.data.gov
    • +1more
    Updated Nov 19, 2025
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    City of Chicago (2025). Violence Reduction - Victims of Homicides and Non-Fatal Shootings [Dataset]. https://data.cityofchicago.org/w/gumc-mgzr/3q3f-6823?cur=BJnvgb6rFMu
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    kml, kmz, xml, application/geo+json, csv, xlsxAvailable download formats
    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    City of Chicago
    Description

    This dataset contains individual-level homicide and non-fatal shooting victimizations, including homicide data from 1991 to the present, and non-fatal shooting data from 2010 to the present (2010 is the earliest available year for shooting data). This dataset includes a "GUNSHOT_INJURY_I " column to indicate whether the victimization involved a shooting, showing either Yes ("Y"), No ("N"), or Unknown ("UKNOWN.") For homicides, injury descriptions are available dating back to 1991, so the "shooting" column will read either "Y" or "N" to indicate whether the homicide was a fatal shooting or not. For non-fatal shootings, data is only available as of 2010. As a result, for any non-fatal shootings that occurred from 2010 to the present, the shooting column will read as “Y.” Non-fatal shooting victims will not be included in this dataset prior to 2010; they will be included in the authorized-access dataset, but with "UNKNOWN" in the shooting column.

    Each row represents a single victimization, i.e., a unique event when an individual became the victim of a homicide or non-fatal shooting. Each row does not represent a unique victim—if someone is victimized multiple times there will be multiple rows for each of those distinct events.

    The dataset is refreshed daily, but excludes the most recent complete day to allow the Chicago Police Department (CPD) time to gather the best available information. Each time the dataset is refreshed, records can change as CPD learns more about each victimization, especially those victimizations that are most recent. The data on the Mayor's Office Violence Reduction Dashboard is updated daily with an approximately 48-hour lag. As cases are passed from the initial reporting officer to the investigating detectives, some recorded data about incidents and victimizations may change once additional information arises. Regularly updated datasets on the City's public portal may change to reflect new or corrected information.

    A version of this dataset with additional crime types is available by request. To make a request, please email dataportal@cityofchicago.org with the subject line: Violence Reduction Victims Access Request. Access will require an account on this site, which you may create at https://data.cityofchicago.org/signup.

    How does this dataset classify victims?

    The methodology by which this dataset classifies victims of violent crime differs by victimization type:

    Homicide and non-fatal shooting victims: A victimization is considered a homicide victimization or non-fatal shooting victimization depending on its presence in CPD's homicide victims data table or its shooting victims data table. A victimization is considered a homicide only if it is present in CPD's homicide data table, while a victimization is considered a non-fatal shooting only if it is present in CPD's shooting data tables and absent from CPD's homicide data table.

    To determine the IUCR code of homicide and non-fatal shooting victimizations, we defer to the incident IUCR code available in CPD's Crimes, 2001-present dataset (available on the City's open data portal). If the IUCR code in CPD's Crimes dataset is inconsistent with the homicide/non-fatal shooting categorization, we defer to CPD's Victims dataset. For a criminal homicide, the only sensible IUCR codes are 0110 (first-degree murder) or 0130 (second-degree murder). For a non-fatal shooting, a sensible IUCR code must signify a criminal sexual assault, a robbery, or, most commonly, an aggravated battery. In rare instances, the IUCR code in CPD's Crimes and Victims dataset do not align with the homicide/non-fatal shooting categorization:

    1. In instances where a homicide victimization does not correspond to an IUCR code 0110 or 0130, we set the IUCR code to "01XX" to indicate that the victimization was a homicide but we do not know whether it was a first-degree murder (IUCR code = 0110) or a second-degree murder (IUCR code = 0130).
    2. When a non-fatal shooting victimization does not correspond to an IUCR code that signifies a criminal sexual assault, robbery, or aggravated battery, we enter “UNK” in the IUCR column, “YES” in the GUNSHOT_I column, and “NON-FATAL” in the PRIMARY column to indicate that the victim was non-fatally shot, but the precise IUCR code is unknown.

    Other violent crime victims: For other violent crime types, we refer to the IUCR classification that exists in CPD's victim table, with only one exception:

    1. When there is an incident that is associated with no victim with a matching IUCR code, we assume that this is an error. Every crime should have at least 1 victim with a matching IUCR code. In these cases, we change the IUCR code to reflect the incident IUCR code because CPD's incident table is considered to be more reliable than the victim table.

    Note: The definition of “homicide” (shooting or otherwise) does not include justifiable homicide or involuntary manslaughter. This dataset also excludes any cases that CPD considers to be “unfounded” or “noncriminal.” Officer-involved shootings are not included.

    Note: The initial reporting officer usually asks victims to report demographic data. If victims are unable to recall, the reporting officer will use their best judgment. “Unknown” can be reported if it is truly unknown.

    Note: In some instances, CPD's raw incident-level data and victim-level data that were inputs into this dataset do not align on the type of crime that occurred. In those instances, this dataset attempts to correct mismatches between incident and victim specific crime types. When it is not possible to determine which victims are associated with the most reliable crime determination, the dataset will show empty cells in the respective demographic fields (age, sex, race, etc.).

    Note: Homicide victims names are delayed by two weeks to allow time for the victim’s family to be notified of their passing.

    Note: The initial reporting officer usually asks victims to report demographic data. If victims are unable to recall, the reporting officer will use their best judgment. “Unknown” can be reported if it is truly unknown.

    Note: This dataset includes variables referencing administrative or political boundaries that are subject to change. These include Street Outreach Organization boundary, Ward, Chicago Police Department District, Chicago Police Department Area, Chicago Police Department Beat, Illinois State Senate District, and Illinois State House of Representatives District. These variables reflect current geographic boundaries as of November 1st, 2021. In some instances, current boundaries may conflict with those that were in place at the time that a given incident occurred in prior years. For example, the Chicago Police Department districts 021 and 013 no longer exist. Any historical violent crime victimization that occurred in those districts when they were in existence are marked in this dataset as having occurred in the current districts that expanded to replace 013 and 021."

  5. a

    CSV - Chicago Homicides - 2022

    • resources-gisinschools-nz.hub.arcgis.com
    Updated Jul 17, 2023
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    GIS in Schools - Teaching Materials - New Zealand (2023). CSV - Chicago Homicides - 2022 [Dataset]. https://resources-gisinschools-nz.hub.arcgis.com/datasets/24cd6f05fe8d4972826548580ae31a02
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    Dataset updated
    Jul 17, 2023
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Area covered
    Description

    CSV file of Homicide Crimes in Chicago for the year 2022.For use with the Chicago Crime NCEA Level 2 Geography assessment.Downloaded from the City of Chicago data portal July 2023.

  6. d

    Data from: Determinants of Chicago Neighborhood Homicide Trends, 1980-2000

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Nov 14, 2025
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    National Institute of Justice (2025). Determinants of Chicago Neighborhood Homicide Trends, 1980-2000 [Dataset]. https://catalog.data.gov/dataset/determinants-of-chicago-neighborhood-homicide-trends-1980-2000-72e0a
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    Dataset updated
    Nov 14, 2025
    Dataset provided by
    National Institute of Justice
    Area covered
    Chicago
    Description

    The purpose of the study was to examine homicide trends in Chicago neighborhoods from 1980-2000 using HOMICIDES IN CHICAGO, 1965-1995 (ICPSR 6399), 1980-2000 Census data, and PROJECT ON HUMAN DEVELOPMENT IN CHICAGO NEIGHBORHOODS: COMMUNITY SURVEY, 1994-1995 (ICPSR 2766). Drawing on the social disorganization and concentrated disadvantage literature, this study used growth-curve modeling and semi-parametric group-based trajectory modeling to: (1) assess neighborhood variation in homicide trends; (2) identify the particular types of homicide trajectory that Chicago neighborhoods follow; (3) assess whether structural characteristics of neighborhoods influence homicide trends and trajectories; and (4) determine the extent to which the influence of structural characteristics is mediated by neighborhood levels of collective efficacy. This project extended prior research by not only describing the homicide trends and trajectories of Chicago neighborhoods, but also identifying the neighborhood characteristics that directly and indirectly influence those trends.

  7. Chicago Crime

    • kaggle.com
    zip
    Updated Apr 17, 2018
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    City of Chicago (2018). Chicago Crime [Dataset]. https://www.kaggle.com/chicago/chicago-crime
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    zip(0 bytes)Available download formats
    Dataset updated
    Apr 17, 2018
    Dataset authored and provided by
    City of Chicago
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Chicago
    Description

    Context

    Approximately 10 people are shot on an average day in Chicago.

    http://www.chicagotribune.com/news/data/ct-shooting-victims-map-charts-htmlstory.html http://www.chicagotribune.com/news/local/breaking/ct-chicago-homicides-data-tracker-htmlstory.html http://www.chicagotribune.com/news/local/breaking/ct-homicide-victims-2017-htmlstory.html

    Content

    This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. This data includes unverified reports supplied to the Police Department. 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 Chicago 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.

    Update Frequency: Daily

    Fork this kernel to get started.

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:chicago_crime

    https://cloud.google.com/bigquery/public-data/chicago-crime-data

    Dataset Source: City of Chicago

    This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source —https://data.cityofchicago.org — and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    Banner Photo by Ferdinand Stohr from Unplash.

    Inspiration

    What categories of crime exhibited the greatest year-over-year increase between 2015 and 2016?

    Which month generally has the greatest number of motor vehicle thefts?

    How does temperature affect the incident rate of violent crime (assault or battery)?

    https://cloud.google.com/bigquery/images/chicago-scatter.png" alt=""> https://cloud.google.com/bigquery/images/chicago-scatter.png

  8. Spatial Analysis of Rare Crimes: Homicides in Chicago, Illinois, 1989-1991

    • icpsr.umich.edu
    • datasets.ai
    • +1more
    ascii, sas, spss +1
    Updated Mar 30, 2006
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    Bhati, Avinash Singh (2006). Spatial Analysis of Rare Crimes: Homicides in Chicago, Illinois, 1989-1991 [Dataset]. http://doi.org/10.3886/ICPSR04079.v1
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    sas, ascii, stata, spssAvailable download formats
    Dataset updated
    Mar 30, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Bhati, Avinash Singh
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/4079/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/4079/terms

    Time period covered
    1989 - 1991
    Area covered
    Illinois, United States, Chicago
    Description

    This project's main goal was to develop an analytical framework that could be used for analysis of rare crimes observed at local (intra-city) levels of geographic aggregation. To demonstrate the application of this framework to a real-world issue, this project analyzed the occurrence of different types of homicide at both the census tract and neighborhood cluster level in Chicago. Homicide counts for Chicago's 865 census tracts for 1989-1991 were obtained from HOMICIDES IN CHICAGO, 1965-1995 (ICPSR 6399), Part 1: Victim Level Data. The types of homicide examined were gang-related, instrumental, family-related expressive, known person expressive, stranger expressive, and other. Demographic and socioeconomic data at the census tract level for the year 1990 were obtained from the Neighborhood Change Database (NCDB) at the Urban Institute. Part 1 contains these data, as initially obtained, at the census tract level. Part 2 contains an aggregated version of the same data for Chicago's 343 neighborhood clusters as defined by the Project on Human Development in Chicago's Neighborhoods.

  9. a

    Assessment - Chicago Crime - Teacher Resource - Geo 2.8

    • resources-gisinschools-nz.hub.arcgis.com
    • gisinschools.eagle.co.nz
    Updated Jul 13, 2023
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    GIS in Schools - Teaching Materials - New Zealand (2023). Assessment - Chicago Crime - Teacher Resource - Geo 2.8 [Dataset]. https://resources-gisinschools-nz.hub.arcgis.com/datasets/assessment-chicago-crime-teacher-resource-geo-2-8
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    Dataset updated
    Jul 13, 2023
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Description

    This StoryMap is designed to help teachers guide students through applying spatial analysis to prepare a report for the City of Chicago Mayor that: shows and explains the changing patterns, both spatial and temporal (over time), of the homicide rate in Chicago provides an analysis of whether the location of police stations and police beats appear to be having an effect on homicide rates recommends solutions related to urban development which could address the problem. Students have their own assessment materials to work through, you should not give them access to this Story Map. Click the link below to open the student assessment materials.Student Materials

  10. C

    Shootings

    • data.cityofchicago.org
    Updated Nov 21, 2025
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    Chicago Police Department (2025). Shootings [Dataset]. https://data.cityofchicago.org/Public-Safety/Shootings/vqmv-zqjm
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    kml, xml, xlsx, csv, application/geo+json, kmzAvailable download formats
    Dataset updated
    Nov 21, 2025
    Authors
    Chicago Police Department
    Description

    This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes 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 Chicago 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 Chicago 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 Chicago 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 Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago 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. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

  11. Leading states for gun law strength in the U.S. 2025

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Leading states for gun law strength in the U.S. 2025 [Dataset]. https://www.statista.com/statistics/1358692/leading-states-gun-law-strength-us/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    California led the way in gun safety in the United States as of January 2025, with a composite score of 90.5 based on the presence of 50 key gun safety policies. Massachusetts followed, with a score of 86.5, while Illinois rounded out the top three with a score of 85.5. Illinois joins the no-assault weapons club In 2023, Illinois came in seventh place for gun law strength; by 2024, this ranking rose to third, signifying that the state holds some of the strongest gun safety laws nationwide. However, this swift rise up the ranks also suggests that Illinois is still taking action against gun violence, particularly after seven people were killed and dozens were injured in a mass shooting in Chicago during a Fourth of July parade in 2022. In recent years, Illinois has consistently improved state legislation on gun safety and has enacted multiple measures to prevent further harm from firearms, including a statewide ban on assault weapons which was approved in January 2023. The Midwestern state joined eight other states, as well as Washington, D.C., which prohibits military-style weapons. Permissive open carry states dominate the bottom of the class Receiving less than five points each, Arkansas, Mississippi, and Idaho represent the lowest composite score for gun law strength nationwide. Arkansas, Mississippi, and Idaho are among the 25 U.S. states that do not require any permit to carry concealed guns in public, and are permissive open carry states as well. Moreover, these states do not require a permit or a background check to purchase a handgun and also neglect to necessitate any firearm safety training before making the purchase. Such gun safety laws are considered crucial to ensure that firearms are handled properly and do not cause anyone harm. However, it is also important to note that countries with strong safety measures may still experience high rates of gun violence due to illegal gun trafficking. As a result, taking legal action may not fully address all gun-related violence in the area, especially if there remains an illicit way for people to obtain a gun without restriction.

  12. C

    District 004 Domestic and Gun Violence

    • data.cityofchicago.org
    Updated Nov 24, 2025
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    Chicago Police Department (2025). District 004 Domestic and Gun Violence [Dataset]. https://data.cityofchicago.org/Public-Safety/District-004-Domestic-and-Gun-Violence/q5yy-fdyf
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    xml, kml, kmz, xlsx, application/geo+json, csvAvailable download formats
    Dataset updated
    Nov 24, 2025
    Authors
    Chicago Police Department
    Description

    This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at PSITAdministration@ChicagoPolice.org. Disclaimer: These crimes 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 Chicago 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 Chicago 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 Chicago 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 Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago 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. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data are updated daily. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

  13. Crimes - Map

    • getsafeandsound.com
    • deepsentinel.com
    • +2more
    csv, xlsx, xml
    Updated Nov 22, 2025
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    Chicago Police Department (2025). Crimes - Map [Dataset]. https://getsafeandsound.com/blog/illinois-crime-statistics/
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    xml, csv, xlsxAvailable download formats
    Dataset updated
    Nov 22, 2025
    Dataset authored and provided by
    Chicago Police Departmenthttp://chicagopolice.org/
    Description

    This dataset reflects reported incidents of crime that have occurred in the City of Chicago over the past year, minus the most recent seven days of data. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes 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 Chicago 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 Chicago 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 Chicago 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 Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago 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 "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily.

  14. Homicides in Chicago, 1965-1995

    • icpsr.umich.edu
    • s.cnmilf.com
    • +1more
    ascii, sas, spss +1
    Updated Jul 6, 2005
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    Block, Carolyn Rebecca; Block, Richard L. (2005). Homicides in Chicago, 1965-1995 [Dataset]. http://doi.org/10.3886/ICPSR06399.v5
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    spss, sas, stata, asciiAvailable download formats
    Dataset updated
    Jul 6, 2005
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Block, Carolyn Rebecca; Block, Richard L.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/6399/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6399/terms

    Time period covered
    1965 - 1995
    Area covered
    Illinois, United States, Chicago
    Dataset funded by
    Harry Frank Guggenheim Foundation
    United States Department of Health and Human Services. Centers for Disease Control and Prevention. National Institute for Occupational Safety and Health
    Ford Foundation
    United States Department of Justice. Office of Justice Programs. National Institute of Justice
    United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics
    Joyce Foundation
    United States Department of Health and Human Services. National Institutes of Health. National Institute of Mental Health
    Description

    These datasets contain information on every homicide in the murder analysis files of the Chicago Police Department for the years 1965-1995. For the victim-level file, Part 1, data are provided on the relationship of victim to offender, whether the victim or offender had previously committed a violent or nonviolent offense, time of occurrence and place of homicide, type of weapon used, cause and motivation for the incident, whether the incident involved drugs, alcohol, gangs, child abuse, or a domestic relationship, if or how the offender was identified, and information on the death of the offender(s). Demographic variables such as the age, sex, and race of each victim and offender are also provided. The victim-level file contains one record for each victim. Information for up to five offenders is included on each victim record. The same offender information is duplicated depending on the number of victims. For example, if a sole offender is responsible for five victims, the file contains five victim records with the offender's information repeated on each record. Part 2, Offender-Level Data, is provided to allow the creation of offender rates and risk analysis that could not be accurately prepared using the victim-level file due to the repeating of the offender information on each victim record. Offender variables were reorganized during the creation of the offender file so that each known offender is associated with a single record. A majority of the variables in the offender-level file are replicas of variables in the victim-level file. The offender records contain demographic information about the offender, demographic and relationship information about the offender's first victim (or sole victim if there was only one), and information about the homicide incident. Information pertaining to the homicide incident such as location, weapon, or drug use are the same as in the victim-level file. In cases where the offender data were completely missing in the victim-level data, no offender records were generated in the offender-level file. The offender-level data do not contain information about the victims in these cases. Geographic variables in both files include the census tract, community area, police district, and police area.

  15. Evaluation of CeaseFire, a Chicago-based Violence Prevention Program,...

    • icpsr.umich.edu
    • datasets.ai
    • +1more
    Updated Feb 25, 2015
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    Skogan, Wesley G. (2015). Evaluation of CeaseFire, a Chicago-based Violence Prevention Program, 1991-2007 [Dataset]. http://doi.org/10.3886/ICPSR23880.v1
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    Dataset updated
    Feb 25, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Skogan, Wesley G.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/23880/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/23880/terms

    Area covered
    Illinois, United States, Chicago
    Description

    This study evaluated CeaseFire, a program of the Chicago Project for Violence Prevention. The evaluation had both outcome and process components. The outcome evaluation assessed the program's impact on shootings and killings in selected CeaseFire sites. Two types of crime data were compiled by the research team: Time Series Data (Dataset 1) and Shooting Incident Data (Dataset 2). Dataset 1 is comprised of aggregate month/year data on all shooting, gun murder, and persons shot incidents reported to Chicago police for CeaseFire's target beats and matched sets of comparison beats between January 1991 and December 2006, resulting in 1,332 observations. Dataset 2 consists of data on 4,828 shootings that were reported in CeaseFire's targeted police beats and in a matched set of comparison beats for two-year periods before and after the implementation of the program (February 1998 to April 2006). The process evaluation involved assessing the program's operations and effectiveness. Researchers surveyed three groups of CeaseFire program stakeholders: employees, representatives of collaborating organizations, and clients. The three sets of employee survey data examine such topics as their level of involvement with clients and CeaseFire activities, their assessments of their clients' problems, and their satisfaction with training and management practices. A total of 154 employees were surveyed: 23 outreach supervisors (Dataset 3), 78 outreach workers (Dataset 4), and 53 violence interrupters (Dataset 5). The six sets of collaborating organization representatives data examine such topics as their level of familiarity and contact with the CeaseFire program, their opinions of CeaseFire clients, and their assessments of the costs and benefits of being involved with CeaseFire. A total of 230 representatives were surveyed: 20 business representatives (Dataset 6), 45 clergy representatives (Dataset 7), 26 community representatives (Dataset 8), 35 police representatives (Dataset 9), 36 school representatives (Dataset 10), and 68 service organization representatives (Dataset 11). The Client Survey Data (Dataset 12) examine such topics as clients' involvement in the CeaseFire program, their satisfaction with aspects of life, and their opinions regarding the role of guns in neighborhood life. A total of 297 clients were interviewed.

  16. C

    Robbery, Battery, and Sexual Assault with firearms plus Homicide

    • data.cityofchicago.org
    Updated Dec 2, 2025
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    Chicago Police Department (2025). Robbery, Battery, and Sexual Assault with firearms plus Homicide [Dataset]. https://data.cityofchicago.org/Public-Safety/Robbery-Battery-and-Sexual-Assault-with-firearms-p/k2zq-5wie
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    application/geo+json, xml, xlsx, kmz, kml, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    Authors
    Chicago Police Department
    Description

    This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at PSITAdministration@ChicagoPolice.org. Disclaimer: These crimes 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 Chicago 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 Chicago 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 Chicago 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 Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago 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. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data are updated daily. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

  17. Murder rate in U.S. metro areas with 250k or more residents in 2022

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Murder rate in U.S. metro areas with 250k or more residents in 2022 [Dataset]. https://www.statista.com/statistics/718903/murder-rate-in-us-cities-in-2015/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, the New Orleans-Metairie, LA metro area recorded the highest homicide rate of U.S. cities with a population over 250,000, at **** homicides per 100,000 residents, followed by the Memphis, TN-MS-AR metro area. However, homicide data was not recorded in all U.S. metro areas, meaning that there may be some cities with a higher homicide rate. St. Louis St. Louis, which had a murder and nonnegligent manslaughter rate of **** in 2022, is the second-largest city by population in Missouri. It is home to many famous treasures, such as the St. Louis Cardinals baseball team, Washington University in St. Louis, the Saint Louis Zoo, and the renowned Gateway Arch. It is also home to many corporations, such as Monsanto, Arch Coal, and Emerson Electric. The economy of St. Louis is centered around business and healthcare, and boasts ten Fortune 500 companies. Crime in St. Louis Despite all of this, St. Louis suffers from high levels of crime and violence. As of 2023, it was listed as the seventh most dangerous city in the world as a result of their extremely high murder rate. Not only does St. Louis have one of the highest homicide rates in the United States, it also reports one of the highest numbers of violent crimes. Despite high crime levels, the GDP of the St. Louis metropolitan area has been increasing since 2001.

  18. The Epidemiology of Crime Guns: From Legal Sale to Use in Crime, Louisiana...

    • icpsr.umich.edu
    Updated Jan 31, 2023
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    International Association of Chiefs of Police (2023). The Epidemiology of Crime Guns: From Legal Sale to Use in Crime, Louisiana and Maryland, 2010-2016 [Dataset]. http://doi.org/10.3886/ICPSR38191.v1
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    Dataset updated
    Jan 31, 2023
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    International Association of Chiefs of Police
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38191/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38191/terms

    Time period covered
    2010 - 2016
    Area covered
    Louisiana, Illinois, Maryland, Chicago, New Orleans
    Description

    The International Association of Chiefs of Police (IACP), collaborating with research partners, conducted a 48-month, two-phase research initiative to enhance their understanding of how firearms move from legal purchase to involvement with a crime. Phase 1 used trace data from Chicago, New Orleans, and Prince Georges County, MD to establish the path of firearms from purchase to usage in a crime. Interviews of the first legal purchaser and incarcerated inmates who committed a crime of violence in New Orleans and Prince Georges County were conducted to seek an understanding of how firearms enter the unregulated market. Phase 2 examined the use of the Group Violence Reduction Strategy (GVRS) in New Orleans as a strategy to reduce gang and gun-related homicides. Overall violence patterns in New Orleans were examined from 2010-2016.

  19. Reported violent crime rate in the U.S. 1990-2023

    • statista.com
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    Statista, Reported violent crime rate in the U.S. 1990-2023 [Dataset]. https://www.statista.com/statistics/191219/reported-violent-crime-rate-in-the-usa-since-1990/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

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

  20. Data from: Multiple Imputation for the Supplementary Homicide Reports:...

    • icpsr.umich.edu
    • datasets.ai
    • +3more
    Updated Mar 31, 2016
    + more versions
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    Roberts, John; Roberts, Aki (2016). Multiple Imputation for the Supplementary Homicide Reports: Evaluation in Unique Test Data, 1990-1995, Chicago, Philadelphia, Phoenix and St. Louis [Dataset]. http://doi.org/10.3886/ICPSR36379.v1
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    Dataset updated
    Mar 31, 2016
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Roberts, John; Roberts, Aki
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36379/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36379/terms

    Time period covered
    1990 - 1995
    Area covered
    Philadelphia, Pennsylvania, United States, Illinois, Missouri, Phoenix, St. Louis, Arizona, Chicago
    Description

    This study was an evaluation of multiple imputation strategies to address missing data using the New Approach to Evaluating Supplementary Homicide Report (SHR) Data Imputation, 1990-1995 (ICPSR 20060) dataset.

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City of Chicago (2025). Violence Reduction - Victim Demographics - Aggregated [Dataset]. https://data.cityofchicago.org/Public-Safety/Violence-Reduction-Victim-Demographics-Aggregated/gj7a-742p

Violence Reduction - Victim Demographics - Aggregated

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xml, xlsx, csvAvailable download formats
Dataset updated
Dec 2, 2025
Dataset authored and provided by
City of Chicago
Description

This dataset contains aggregate data on violent index victimizations at the quarter level of each year (i.e., January – March, April – June, July – September, October – December), from 2001 to the present (1991 to present for Homicides), with a focus on those related to gun violence. Index crimes are 10 crime types selected by the FBI (codes 1-4) for special focus due to their seriousness and frequency. This dataset includes only those index crimes that involve bodily harm or the threat of bodily harm and are reported to the Chicago Police Department (CPD). Each row is aggregated up to victimization type, age group, sex, race, and whether the victimization was domestic-related. Aggregating at the quarter level provides large enough blocks of incidents to protect anonymity while allowing the end user to observe inter-year and intra-year variation. Any row where there were fewer than three incidents during a given quarter has been deleted to help prevent re-identification of victims. For example, if there were three domestic criminal sexual assaults during January to March 2020, all victims associated with those incidents have been removed from this dataset. Human trafficking victimizations have been aggregated separately due to the extremely small number of victimizations.

This dataset includes a " GUNSHOT_INJURY_I " column to indicate whether the victimization involved a shooting, showing either Yes ("Y"), No ("N"), or Unknown ("UKNOWN.") For homicides, injury descriptions are available dating back to 1991, so the "shooting" column will read either "Y" or "N" to indicate whether the homicide was a fatal shooting or not. For non-fatal shootings, data is only available as of 2010. As a result, for any non-fatal shootings that occurred from 2010 to the present, the shooting column will read as “Y.” Non-fatal shooting victims will not be included in this dataset prior to 2010; they will be included in the authorized dataset, but with "UNKNOWN" in the shooting column.

The dataset is refreshed daily, but excludes the most recent complete day to allow CPD time to gather the best available information. Each time the dataset is refreshed, records can change as CPD learns more about each victimization, especially those victimizations that are most recent. The data on the Mayor's Office Violence Reduction Dashboard is updated daily with an approximately 48-hour lag. As cases are passed from the initial reporting officer to the investigating detectives, some recorded data about incidents and victimizations may change once additional information arises. Regularly updated datasets on the City's public portal may change to reflect new or corrected information.

How does this dataset classify victims?

The methodology by which this dataset classifies victims of violent crime differs by victimization type:

Homicide and non-fatal shooting victims: A victimization is considered a homicide victimization or non-fatal shooting victimization depending on its presence in CPD's homicide victims data table or its shooting victims data table. A victimization is considered a homicide only if it is present in CPD's homicide data table, while a victimization is considered a non-fatal shooting only if it is present in CPD's shooting data tables and absent from CPD's homicide data table.

To determine the IUCR code of homicide and non-fatal shooting victimizations, we defer to the incident IUCR code available in CPD's Crimes, 2001-present dataset (available on the City's open data portal). If the IUCR code in CPD's Crimes dataset is inconsistent with the homicide/non-fatal shooting categorization, we defer to CPD's Victims dataset.

For a criminal homicide, the only sensible IUCR codes are 0110 (first-degree murder) or 0130 (second-degree murder). For a non-fatal shooting, a sensible IUCR code must signify a criminal sexual assault, a robbery, or, most commonly, an aggravated battery. In rare instances, the IUCR code in CPD's Crimes and Victims dataset do not align with the homicide/non-fatal shooting categorization:

  1. In instances where a homicide victimization does not correspond to an IUCR code 0110 or 0130, we set the IUCR code to "01XX" to indicate that the victimization was a homicide but we do not know whether it was a first-degree murder (IUCR code = 0110) or a second-degree murder (IUCR code = 0130).
  2. When a non-fatal shooting victimization does not correspond to an IUCR code that signifies a criminal sexual assault, robbery, or aggravated battery, we enter “UNK” in the IUCR column, “YES” in the GUNSHOT_I column, and “NON-FATAL” in the PRIMARY column to indicate that the victim was non-fatally shot, but the precise IUCR code is unknown.

Other violent crime victims: For other violent crime types, we refer to the IUCR classification that exists in CPD's victim table, with only one exception:

  1. When there is an incident that is associated with no victim with a matching IUCR code, we assume that this is an error. Every crime should have at least 1 victim with a matching IUCR code. In these cases, we change the IUCR code to reflect the incident IUCR code because CPD's incident table is considered to be more reliable than the victim table.

Note: All businesses identified as victims in CPD data have been removed from this dataset.

Note: The definition of “homicide” (shooting or otherwise) does not include justifiable homicide or involuntary manslaughter. This dataset also excludes any cases that CPD considers to be “unfounded” or “noncriminal.”

Note: In some instances, the police department's raw incident-level data and victim-level data that were inputs into this dataset do not align on the type of crime that occurred. In those instances, this dataset attempts to correct mismatches between incident and victim specific crime types. When it is not possible to determine which victims are associated with the most recent crime determination, the dataset will show empty cells in the respective demographic fields (age, sex, race, etc.).

Note: The initial reporting officer usually asks victims to report demographic data. If victims are unable to recall, the reporting officer will use their best judgment. “Unknown” can be reported if it is truly unknown.

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