11 datasets found
  1. Number, percentage and rate of gang-related homicide victims

    • www150.statcan.gc.ca
    • beta.data.urbandatacentre.ca
    • +5more
    Updated Jul 25, 2024
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    Government of Canada, Statistics Canada (2024). Number, percentage and rate of gang-related homicide victims [Dataset]. http://doi.org/10.25318/3510007501-eng
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Victims of gang-related homicides (total number of homicide victims; number of homicide victims - unknown gang-relation; number of homicide victims - known gang relation; number of gang-related homicide victims; percentage of gang-related homicide victims; rate (per 100,000 population) of gang-related homicide victims), Canada and regions, 1999 to 2023.

  2. Number, rate and percentage changes in rates of homicide victims

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Jul 25, 2024
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    Government of Canada, Statistics Canada (2024). Number, rate and percentage changes in rates of homicide victims [Dataset]. http://doi.org/10.25318/3510006801-eng
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number, rate and percentage changes in rates of homicide victims, Canada, provinces and territories, 1961 to 2023.

  3. Peace and Security Pillar: Haiti Security and Crime Statistics Dataset

    • data.humdata.org
    csv
    Updated Apr 25, 2025
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    United Nations Peace and Security Data Hub (2025). Peace and Security Pillar: Haiti Security and Crime Statistics Dataset [Dataset]. https://data.humdata.org/dataset/binuh-scstats
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    csv(5596)Available download formats
    Dataset updated
    Apr 25, 2025
    Dataset provided by
    United Nationshttp://un.org/
    License

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

    Area covered
    Haiti
    Description

    This dataset compiles available information on cases of gang violence, criminal activities, and human rights abuses in Haiti, including sexual and gender-based violence, as per the reporting requirements outlined in Security Council resolution 2743 (2024). The data spans from 2018, capturing trends in intentional homicides, kidnappings, lynchings, and other violent crimes, disaggregated by gender and age group. The dataset supports monitoring of the security and human rights situation in Haiti, informing interventions and policy-making processes aimed at improving civilian protection.

  4. Data from: Spatial Analysis of Rare Crimes: Homicides in Chicago, Illinois,...

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Mar 12, 2025
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    National Institute of Justice (2025). Spatial Analysis of Rare Crimes: Homicides in Chicago, Illinois, 1989-1991 [Dataset]. https://catalog.data.gov/dataset/spatial-analysis-of-rare-crimes-homicides-in-chicago-illinois-1989-1991-6879e
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    Illinois, 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.

  5. C

    913 past year GANG-RELATED

    • data.cityofchicago.org
    Updated Jun 29, 2025
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    Chicago Police Department (2025). 913 past year GANG-RELATED [Dataset]. https://data.cityofchicago.org/Public-Safety/913-past-year-GANG-RELATED/cyc3-pr7x
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    csv, tsv, xml, application/rssxml, application/rdfxml, application/geo+json, kml, kmzAvailable download formats
    Dataset updated
    Jun 29, 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

  6. Examination of Homicides in Houston, Texas, 1985-1994

    • icpsr.umich.edu
    • datasets.ai
    • +1more
    ascii, sas, spss +1
    Updated Nov 4, 2005
    + more versions
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    Titterington, Victoria; Damphousse, Kelly R. (2005). Examination of Homicides in Houston, Texas, 1985-1994 [Dataset]. http://doi.org/10.3886/ICPSR03399.v1
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    ascii, stata, sas, spssAvailable download formats
    Dataset updated
    Nov 4, 2005
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Titterington, Victoria; Damphousse, Kelly R.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/3399/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/3399/terms

    Time period covered
    1985 - 1994
    Area covered
    Texas, Houston, United States
    Description

    As a contribution to nationwide efforts to more thoroughly understand urban violence, this study was conducted to assess the impact of cultural dynamics on homicide rates in Houston, Texas, and to profile homicides in the city from 1985 to 1994. This data collection provides the results of quantitative analysis of data collected from all Houston homicide cases recorded in the police murder logs for 1985-1994. Variables describe the homicide circumstances, the victim-offender relationship, the type of weapon used, and any drug- or gang-related activity involved. Other variables include the year and month in which the homicide occurred, whether the homicide occurred on a weekday or over the weekend, the motive of the homicide, whether the homicide was drug-related, whether the case was cleared by police at time of data entry, weapon type and means of killing, the relationship between the victim and the offender, whether a firearm was the homicide method, whether it was a multiple victim incident or multiple offender incident, whether the victim or the offender was younger than age 15, and the inter-racial relationship between the victim and the offender. Demographic variables include age, sex, and race of the victim as well as the offender.

  7. Intercity Variation in Youth Homicide, Robbery, and Assault, 1984-2006...

    • search.gesis.org
    Updated Sep 23, 2012
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    ICPSR - Interuniversity Consortium for Political and Social Research (2012). Intercity Variation in Youth Homicide, Robbery, and Assault, 1984-2006 [United States] - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR30981
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    Dataset updated
    Sep 23, 2012
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    GESIS search
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de449683https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de449683

    Area covered
    United States
    Description

    Abstract (en): The research team collected data on homicide, robbery, and assault offending from 1984-2006 for youth 13 to 24 years of age in 91 of the 100 largest cities in the United States (based on the 1980 Census) from various existing data sources. Data on youth homicide perpetration were acquired from the Supplementary Homicide Reports (SHR) and data on nonlethal youth violence (robbery and assault) were obtained from the Uniform Crime Reports (UCR). Annual homicide, robbery, and assault arrest rates per 100,000 age-specific populations (i.e., 13 to 17 and 18 to 24 year olds) were calculated by year for each city in the study. Data on city characteristics were derived from several sources including the County and City Data Books, SHR, and the Vital Statistics Multiple Cause of Death File. The research team constructed a dataset representing lethal and nonlethal offending at the city level for 91 cities over the 23-year period from 1984 to 2006, resulting in 2,093 city year observations. The purpose of this study was to estimate temporal trends in youth violence rates variation across 91 of the 100 largest cities in the United States from 1984-2006, and to model city-specific explanatory predictors influencing these trends. In order to estimate trends in homicide offending for youth 13 to 24 years of age in 91 of the 100 largest cities in the United States from 1984-2006, data for youth homicide were acquired from the Supplementary Homicide Report (SHR), a component of the FBI's Uniform Crime Reporting Program (UCR). Measures of youth arrests for the nonlethal violent crimes of robbery and assault were acquired from UCR city arrest data for the same time period. Annual homicide, robbery, and assault arrest rates per 100,000 age-specific (i.e., 13 to 17 and 18 to 24 year olds) population were calculated by year for each city in the study. Annual homicide rates were calculated through a conventional procedure: annual incidents in a specific city, divided by the age-specific population of that city, multiplied by 100,000. Partial reporting during the time period resulted in dropping 9 cities from the homicide data and 10 cities from the robbery and assault data. Data on city-level characteristics including measures of structural disadvantage, drug market activities, gang presence-activity, and firearm availability were derived from the County and City Data Books, SHR, and the Vital Statistics Multiple Cause of Death File, respectively. Missing data came from two sources; failure to report in homicide and some of the Census collections, and lack of data for specific years, mainly in Census data, between major data collection points like the Decennial Census and the Mid-decade estimates from Census related sources. Missing data in the homicide measures were addressed using an Iterative Chain equation procedure to conduct Multiple Imputation. Variables from the original source used in the multiple imputation procedure included age of victim, race, ethnicity, gender, seven available measures of homicide circumstances, and city population size. Extrapolation methods were used to adjust for missing data in the robberies and assaults by age, and in the census and economic data sources. To estimate a missing year between two reported values, the missing year was estimated to be mid-way between the two observed years on either side of the missing year. Longer gaps involved further averaging and allocating according to the number of years missing; these estimates amount to maximum likelihood estimates of the missing years or in the case of the robberies and assaults, months as well. The study contains a total of 39 variables including city name, year, crime rate variables, and city characteristics variables. Crime rate variables include imputed and non-imputed homicide rate variables for juveniles aged 13 to 17, young adults aged 18 to 24, and adults aged 25 and over. Other crime variables include the number of imputed and non-imputed homicides as well as the robbery rate and assault rate for juveniles and young adults. City characteristics variables include population, poverty rates, percentage of African Americans, percentage of female-headed households, percentage of residents unemployed, percentage of residents receiving public assistance, home-ownership rates, gang presence and activity, and alcohol outlet density. None. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of dis...

  8. l

    Sheriff Part 1 and 2 Crimes (Year to Date)

    • data.lacounty.gov
    Updated Apr 4, 2023
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    County of Los Angeles (2023). Sheriff Part 1 and 2 Crimes (Year to Date) [Dataset]. https://data.lacounty.gov/datasets/lacounty::sheriff-part-1-and-2-crimes-year-to-date/about
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    Dataset updated
    Apr 4, 2023
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Part 1 crimes, as defined by the Federal Bureau of Investigation (FBI), are:

    Criminal Homicide Forcible Rape Robbery Aggravated Assault Burglary Larceny Theft Grand Theft Auto Arson

    Part 2 crimes, as defined by the Federal Bureau of Investigation (FBI), are:

    Forgery Fraud And NSF Checks Sex Offenses Felonies Sex Offenses Misdemeanors Non-Aggravated Assaults Weapon Laws Offenses Against Family Narcotics Liquor Laws Drunk / Alcohol / Drugs Disorderly Conduct Vagrancy Gambling Drunk Driving Vehicle / Boat Vehicle / Boating Laws Vandalism Warrants Receiving Stolen Property Federal Offenses without Money Federal Offenses with Money Felonies Miscellaneous Misdemeanors Miscellaneous

    Note About Date Fields:By default, the cloud database assumes all date fields are provided in UTC time zone. As a result, the system attempts to convert to the local time zone in your browser resulting in dates that appear differently than the source file. For example, a user viewing the data in PST will see times that are 8 hours behind. For an example of how dates are displayed, see the example below: Source & Download File Online Database Table Display (Example for PST User)

    3/18/2023 8:07:00 AM PST 3/18/2023 8:07:00 AM UTC 3/18/2023 12:07:00 AM DATA DICTIONARY:

    Field Name
    Field Description
    
    
    LURN_SAK
    System assigned number for the case
    
    
    Incident Date
    Date the crime incident occurred
    
    
    Incident Reported Date
    Date the crime was reported to LASD
    
    
    Category
    Incident crime category
    
    
    Stat Code
    A three digit numerical coding system to identify the primary crime category for an incident
    
    
    Stat Code Desc
    The definition of the statistical code number
    
    
    Address
    The street number, street name, state and zip where the incident occurred
    
    
    Street
    The street number and street name where the incident occurred
    
    
    City
    The city where the incident occurred
    
    
    Zip
    The zip code of the location where the incident occurred
    
    
    Incident ID
    The URN #, or Uniform Report Number, is a unique # assigned to every criminal and noncriminal incident
    
    
    Reporting District
    A geographical area defined by LASD which is within a city or unincorporated area where the incident occurred
    
    
    Sequential (per Station)
    Each incident for each station is issued a unique sequence # within a given year
    
    
    Gang Related
    Indicates if the crime incident was gang related
    
    
    Unit ID
    ORI # is a number issued by the FBI for every law enforcement agency
    
    
    Unit Name
    Station Name
    
    
    Longitude
    Longitude (as plotted on the nearest half block street segment)
    
    
    Latitude
    Latitude (as plotted on the nearest half block street segment)
    
    
    Part Category
    Part I Crime or Part II Crime indicator
    
  9. H

    Summary Reporting System (SRS) - Supplementary Homicide Reports (SHR)

    • dataverse.harvard.edu
    Updated Feb 10, 2025
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    Jacob Kaplan (2025). Summary Reporting System (SRS) - Supplementary Homicide Reports (SHR) [Dataset]. http://doi.org/10.7910/DVN/YB76AT
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 10, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Jacob Kaplan
    License

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

    Dataset funded by
    None
    Description

    The Supplementary Homicide Reports data set - often abbreviated to SHR - is the most detailed of the SRS data sets and provides information about the circumstances and participants (victim and offender demographics and relationship status) for homicides. For each homicide incident it tells you the age, sex, race, and ethnicity of each victim and offender as well as the relationship between the first victim and each of the offenders (but not the other victims in cases where there are multiple victims). It also tells you the weapon used by each offender and the circumstance of the killing, such as a “lovers triangle” or a gang-related murder. As with other SRS data, it also tells you the agency it occurred in and the month and year when the crime happened.

  10. l

    Sheriff Part 1 and 2 Crimes (Historical)

    • data.lacounty.gov
    Updated Apr 5, 2023
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    County of Los Angeles (2023). Sheriff Part 1 and 2 Crimes (Historical) [Dataset]. https://data.lacounty.gov/datasets/sheriff-part-1-and-2-crimes-historical/about
    Explore at:
    Dataset updated
    Apr 5, 2023
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Part 1 crimes, as defined by the Federal Bureau of Investigation (FBI), are:

    Criminal Homicide Forcible Rape Robbery Aggravated Assault Burglary Larceny Theft Grand Theft Auto Arson

    Part 2 crimes, as defined by the Federal Bureau of Investigation (FBI), are:

    Forgery Fraud And NSF Checks Sex Offenses Felonies Sex Offenses Misdemeanors Non-Aggravated Assaults Weapon Laws Offenses Against Family Narcotics Liquor Laws Drunk / Alcohol / Drugs Disorderly Conduct Vagrancy Gambling Drunk Driving Vehicle / Boat Vehicle / Boating Laws Vandalism Warrants Receiving Stolen Property Federal Offenses without Money Federal Offenses with Money Felonies Miscellaneous Misdemeanors Miscellaneous

    Note About Date Fields:By default, the cloud database assumes all date fields are provided in UTC time zone. As a result, the system attempts to convert to the local time zone in your browser resulting in dates that appear differently than the source file. For example, a user viewing the data in PST will see times that are 8 hours behind. For an example of how dates are displayed, see the example below: Source & Download File Online Database Table Display (Example for PST User)

    3/18/2023 8:07:00 AM PST 3/18/2023 8:07:00 AM UTC 3/18/2023 12:07:00 AM DATA DICTIONARY:

    Field  Name
    Field Description
    
    
    LURN_SAK
    System assigned number for the case
    
    
    Incident Date
    Date the crime incident occurred
    
    
    Incident Reported Date
    Date the crime was reported to LASD
    
    
    Category
    Incident crime category
    
    
    Stat Code
    A three digit numerical coding system to identify the primary crime category for an incident
    
    
    Stat Code Desc
    The definition of the statistical code number
    
    
    Address
    The street number, street name, state and zip where the incident occurred
    
    
    Street
    The street number and street name where the incident occurred
    
    
    City
    The city where the incident occurred
    
    
    Zip
    The zip code of the location where the incident occurred
    
    
    Incident ID
    The URN #, or Uniform Report Number, is a unique # assigned to every criminal and noncriminal incident
    
    
    Reporting District
    A geographical area defined by LASD which is within a city or unincorporated area where the incident occurred
    
    
    Sequential (per Station)
    Each incident for each station is issued a unique sequence # within a given year
    
    
    Gang Related
    Indicates if the crime incident was gang related
    
    
    Unit ID
    ORI # is a number issued by the FBI for every law enforcement agency
    
    
    Unit Name
    Station Name
    
    
    Longitude
    Longitude (as plotted on the nearest half block street segment)
    
    
    Latitude
    Latitude (as plotted on the nearest half block street segment)
    
    
    Part Category
    Part I Crime or Part II Crime indicator
    
  11. Police-reported organized crime, by most serious violation, Canada (selected...

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Jul 25, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). Police-reported organized crime, by most serious violation, Canada (selected police services) [Dataset]. http://doi.org/10.25318/3510006201-eng
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Police-reported organized crime, by most serious violation (homicide and attempted murder, assault, sexual violations, kidnapping and hostage taking, human trafficking, robbery and theft, firearm and weapons violations, extortion and criminal harassment, arson, forgery and fraud, child pornography, criminal organization involvement, probation and court violations, drug possession and trafficking, and other violations), Canada (selected police services), 2016 to 2023.

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    Learn how you can add new datasets to our index.

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Government of Canada, Statistics Canada (2024). Number, percentage and rate of gang-related homicide victims [Dataset]. http://doi.org/10.25318/3510007501-eng
Organization logo

Number, percentage and rate of gang-related homicide victims

3510007501

Explore at:
Dataset updated
Jul 25, 2024
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
Area covered
Canada
Description

Victims of gang-related homicides (total number of homicide victims; number of homicide victims - unknown gang-relation; number of homicide victims - known gang relation; number of gang-related homicide victims; percentage of gang-related homicide victims; rate (per 100,000 population) of gang-related homicide victims), Canada and regions, 1999 to 2023.

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