100+ datasets found
  1. National Neighborhood Data Archive (NaNDA): Crimes by County, United States,...

    • icpsr.umich.edu
    • openicpsr.org
    • +1more
    ascii, delimited, r +3
    Updated Jan 30, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Clarke, Philippa; Melendez, Robert; Chenoweth, Megan (2023). National Neighborhood Data Archive (NaNDA): Crimes by County, United States, 2002-2014 [Dataset]. http://doi.org/10.3886/ICPSR38649.v1
    Explore at:
    ascii, stata, sas, delimited, r, spssAvailable download formats
    Dataset updated
    Jan 30, 2023
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Clarke, Philippa; Melendez, Robert; Chenoweth, Megan
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38649/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38649/terms

    Time period covered
    2002 - 2014
    Area covered
    United States
    Description

    This dataset contains county-level totals for the years 2002-2014 for eight types of crime: murder, rape, robbery, aggravated assault, burglary, larceny, motor vehicle theft, and arson. These crimes are classed as Part I criminal offenses by the United States Federal Bureau of Investigations (FBI) in their Uniform Crime Reporting (UCR) program. Each record in the dataset represents the total of each type of criminal offense reported in (or, in the case of missing data, attributed to) the county in a given year.

  2. C

    Crime per Month by Community Area

    • data.cityofchicago.org
    application/rdfxml +5
    Updated Jul 4, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Chicago Police Department (2025). Crime per Month by Community Area [Dataset]. https://data.cityofchicago.org/Public-Safety/Crime-per-Month-by-Community-Area/bsyv-a9f3
    Explore at:
    application/rssxml, csv, tsv, xml, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Jul 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

  3. a

    Los Angeles - Crime Rates

    • hub.arcgis.com
    Updated Jun 9, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Civic Analytics Network (2016). Los Angeles - Crime Rates [Dataset]. https://hub.arcgis.com/maps/civicanalytics::los-angeles-crime-rates/about
    Explore at:
    Dataset updated
    Jun 9, 2016
    Dataset authored and provided by
    Civic Analytics Network
    Area covered
    Description

    This map shows a comparable measure of crime in the United States. The crime index compares the average local crime level to that of the United States as a whole. An index of 100 is average. A crime index of 120 indicates that crime in that area is 20 percent above the national average.The crime data is provided by Applied Geographic Solutions, Inc. (AGS). AGS created models using the FBI Uniform Crime Report databases as the primary data source and using an initial range of about 65 socio-economic characteristics taken from the 2000 Census and AGS’ current year estimates. The crimes included in the models include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. The total crime index incorporates all crimes and provides a useful measure of the relative “overall” crime rate in an area. However, these are unweighted indexes, meaning that a murder is weighted no more heavily than a purse snatching in the computations. The geography depicts states, counties, Census tracts and Census block groups. An urban/rural "mask" layer helps you identify crime patterns in rural and urban settings. The Census tracts and block groups help identify neighborhood-level variation in the crime data.------------------------The Civic Analytics Network collaborates on shared projects that advance the use of data visualization and predictive analytics in solving important urban problems related to economic opportunity, poverty reduction, and addressing the root causes of social problems of equity and opportunity. For more information see About the Civil Analytics Network.

  4. l

    Violent Crime Rate

    • geohub.lacity.org
    • data.lacounty.gov
    • +1more
    Updated Dec 19, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    County of Los Angeles (2023). Violent Crime Rate [Dataset]. https://geohub.lacity.org/datasets/lacounty::violent-crime-rate
    Explore at:
    Dataset updated
    Dec 19, 2023
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Serious violent crimes consist of Part 1 offenses as defined by the U.S. Department of Justice’s Uniform Reporting Statistics. These include murders, nonnegligent homicides, rapes (legacy and revised), robberies, and aggravated assaults. LAPD data were used for City of Los Angeles, LASD data were used for unincorporated areas and cities that contract with LASD for law enforcement services, and CA Attorney General data were used for all other cities with local police departments. This indicator is based on location of residence. Single-year data are only available for Los Angeles County overall, Service Planning Areas, Supervisorial Districts, City of Los Angeles overall, and City of Los Angeles Council Districts.Neighborhood violence and crime can have a harmful impact on all members of a community. Living in communities with high rates of violence and crime not only exposes residents to a greater personal risk of injury or death, but it can also render individuals more susceptible to many adverse health outcomes. People who are regularly exposed to violence and crime are more likely to suffer from chronic stress, depression, anxiety, and other mental health conditions. They are also less likely to be able to use their parks and neighborhoods for recreation and physical activity.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

  5. a

    Boston - Crime Rates

    • hub.arcgis.com
    Updated Jun 9, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Civic Analytics Network (2016). Boston - Crime Rates [Dataset]. https://hub.arcgis.com/maps/civicanalytics::boston-crime-rates/about
    Explore at:
    Dataset updated
    Jun 9, 2016
    Dataset authored and provided by
    Civic Analytics Network
    Area covered
    Description

    This map shows a comparable measure of crime in the United States. The crime index compares the average local crime level to that of the United States as a whole. An index of 100 is average. A crime index of 120 indicates that crime in that area is 20 percent above the national average.The crime data is provided by Applied Geographic Solutions, Inc. (AGS). AGS created models using the FBI Uniform Crime Report databases as the primary data source and using an initial range of about 65 socio-economic characteristics taken from the 2000 Census and AGS’ current year estimates. The crimes included in the models include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. The total crime index incorporates all crimes and provides a useful measure of the relative “overall” crime rate in an area. However, these are unweighted indexes, meaning that a murder is weighted no more heavily than a purse snatching in the computations. The geography depicts states, counties, Census tracts and Census block groups. An urban/rural "mask" layer helps you identify crime patterns in rural and urban settings. The Census tracts and block groups help identify neighborhood-level variation in the crime data.------------------------The Civic Analytics Network collaborates on shared projects that advance the use of data visualization and predictive analytics in solving important urban problems related to economic opportunity, poverty reduction, and addressing the root causes of social problems of equity and opportunity. For more information see About the Civil Analytics Network.

  6. a

    Part 1 Crime Rate per 1,000 Residents - Community Statistical Area

    • vital-signs-bniajfi.hub.arcgis.com
    Updated Apr 10, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Baltimore Neighborhood Indicators Alliance (2025). Part 1 Crime Rate per 1,000 Residents - Community Statistical Area [Dataset]. https://vital-signs-bniajfi.hub.arcgis.com/datasets/8f1661a3f09e4ca1b9f0413decc35eac
    Explore at:
    Dataset updated
    Apr 10, 2025
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The Part 1 crime rate captures incidents of homicide, rape, aggravated assault, robbery, burglary, larceny, and auto theft that are reported to the Police Department. These incidents are per 1,000 residents in the neighborhood to allow for comparison across areas. Source: Baltimore Police Department Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023

  7. O

    Community Crime Statistics

    • data.calgary.ca
    application/rdfxml +5
    Updated Feb 5, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The City of Calgary (2020). Community Crime Statistics [Dataset]. https://data.calgary.ca/Health-and-Safety/Community-Crime-Statistics/78gh-n26t
    Explore at:
    csv, tsv, application/rssxml, xml, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Feb 5, 2020
    Dataset authored and provided by
    The City of Calgary
    Description

    Data is no longer provided by the Calgary Police Service. To access latest data click here. This data is considered cumulative as late-reported incidents are often received well after an offence has occurred. Therefore, crime counts are subject to change as they are updated. Crime count is based on the most serious violation (MSV) per incident. Violence: These figures include all violent crime offences as defined by the Centre for Canadian Justice Statistics Universal Crime Reporting (UCR) rules. Domestic violence is excluded. Break and Enter: Residential B&E includes both House and ‘Other’ structure break and enters due to the predominantly residential nature of this type of break in (e.g. detached garages, sheds). B&Es incidents include attempts.

  8. WIBR Crime Data (Current)

    • data.milwaukee.gov
    csv
    Updated Jul 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Milwaukee Police Department (2025). WIBR Crime Data (Current) [Dataset]. https://data.milwaukee.gov/dataset/wibr
    Explore at:
    csv(117409245)Available download formats
    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Milwaukee Police Departmenthttp://city.milwaukee.gov/police
    License

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

    Description

    Update Frequency: Daily

    Current year to date. The data included in this dataset has been reviewed and approved by a Milwaukee Police Department supervisor and the Milwaukee Police Department’s Records Management Division. This approval process can take a few weeks from the reported date of the crime. For preliminary crime data, please visit the Milwaukee Police Department’s Crime Maps and Statistics dashboard at https://city.milwaukee.gov/police/Information-Services/Crime-Maps-and-Statistics.

    Wisconsin Incident Based Report (WIBR) Group A Offenses.

    The Crime Data represents incident level data defined by Wisconsin Incident Based Reporting System (WIBRS) codes. WIBRS reporting is a crime reporting standard and can not be compared to any previous UCR report. Therefore, the Crime Data may reflect:

    • Information not yet verified by further investigation
    • Preliminary crime classifications that may be changed at a later date based upon further investigation
    • Information that may include mechanical or human error

    Neither the City of Milwaukee nor the Milwaukee Police Department guarantee (either express or implied) the accuracy, completeness, timeliness, or correct sequencing of the Crime Data. The City of Milwaukee and the Milwaukee Police Department shall have no liability for any error or omission, or for the use of, or the results obtained from the use of the Crime Data. In addition, the City of Milwaukee and the Milwaukee Police Department caution against using the Crime Data to make decisions/comparisons regarding the safety of or the amount of crime occurring in a particular area. When reviewing the Crime Data, the site user should consider that:

    • The information represents only police services where a report was made and does not include other calls for police service
    • The information does not reflect or certify "safe" or "unsafe" areas
    • The information will sometimes reflect where the crime was reported versus where the crime occurred

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

    The use of the Crime Data indicates the site user's unconditional acceptance of all risks associated with the use of the Crime Data.

    To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page. XY fields in data is in projection Wisconsin State Plane South NAD27 (WKID 32054).

  9. Most dangerous cities in the U.S. 2023, by violent crime rate

    • statista.com
    Updated Dec 12, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Most dangerous cities in the U.S. 2023, by violent crime rate [Dataset]. https://www.statista.com/statistics/217685/most-dangerous-cities-in-north-america-by-crime-rate/
    Explore at:
    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

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

  10. c

    Property Crime Rate

    • data.ccrpc.org
    csv
    Updated Dec 5, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Champaign County Regional Planning Commission (2024). Property Crime Rate [Dataset]. https://data.ccrpc.org/dataset/property-crime-rate
    Explore at:
    csv(972)Available download formats
    Dataset updated
    Dec 5, 2024
    Dataset provided by
    Champaign County Regional Planning Commission
    Description

    The property crime rate indicator includes both the total number of property crime incidents per year in Champaign County, and the number of property crime incidents per 100,000 people per year in Champaign County. “Property crimes” are those counted in the following categories in the Illinois State Police’s annual Crime in Illinois report: Burglary, Theft (Larceny), Motor Vehicle Theft, and Arson. Like violent crime, property crime is also a major indicator of community safety.

    The property crime data spans the same time period as the violent crime data: 1996 to 2021. The total number of offenses and rate per 100,000 population are both substantially lower as of 2021 than at the beginning of the study period in 1996. 2021 actually saw the lowest number of offenses and the lowest rate per 100,000 population in the study period. There are significantly more property crime offenses in Champaign County than violent crime incidents.

    This data is sourced from the Illinois State Police’s annually released Crime in Illinois: Annual Uniform Crime Report, available on the Uniform Crime Report Index Offense Explorer.

    Sources: Illinois State Police. (2021). Crime in Illinois: Annual Uniform Crime Report 2021. Illinois State Police. (2020). Crime in Illinois: Annual Uniform Crime Report 2020. Illinois State Police. (2019). Crime in Illinois: Annual Uniform Crime Report 2019. Illinois State Police. (2018). Crime in Illinois: Annual Uniform Crime Report 2018. Illinois State Police. (2017). Crime in Illinois: Annual Uniform Crime Report 2017. Illinois State Police. (2018). Crime in Illinois: Annual Uniform Crime Report 2018. Illinois State Police. (2017). Crime in Illinois: Annual Uniform Crime Report 2017. Illinois State Police. (2016). Crime in Illinois: Annual Uniform Crime Report 2016. Illinois State Police. (2015). Crime in Illinois: Annual Uniform Crime Report 2015. Illinois State Police. (2014). Crime in Illinois: Annual Uniform Crime Report 2014.; Illinois State Police. (2012). Crime in Illinois: Annual Uniform Crime Report 2012.; Illinois State Police. (2011). Crime in Illinois: Annual Uniform Crime Report 2010-2011.; Illinois State Police. (2009). Crime in Illinois: Annual Uniform Crime Report 2009.; Illinois State Police. (2007). Crime in Illinois: Annual Uniform Crime Report 2007.; Illinois State Police. (2005). Crime in Illinois: Annual Uniform Crime Report 2005.; Illinois State Police. (2003). Crime in Illinois: Annual Uniform Crime Report 2003.; Illinois State Police. (2001). Crime in Illinois: Annual Uniform Crime Report 2001.; Illinois State Police. (1999). Crime in Illinois: Annual Uniform Crime Report 1999.; Illinois State Police. (1997). Crime in Illinois: Annual Uniform Crime Report 1997.

  11. d

    DC Crime Cards

    • catalog.data.gov
    • opendata.dc.gov
    Updated Feb 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2025). DC Crime Cards [Dataset]. https://catalog.data.gov/dataset/dc-crime-cards
    Explore at:
    Dataset updated
    Feb 5, 2025
    Dataset provided by
    City of Washington, DC
    Area covered
    Washington
    Description

    An interactive public crime mapping application providing DC residents and visitors easy-to-understand data visualizations of crime locations, types and trends across all eight wards. Crime Cards was created by the DC Metropolitan Police Department (MPD) and Office of the Chief Technology Officer (OCTO). Special thanks to the community members who participated in reviews with MPD Officers and IT staff, and those who joined us for the #SaferStrongerSmarterDC roundtable design review. All statistics presented in Crime Cards are based on preliminary DC Index crime data reported from 2009 to midnight of today’s date. They are compiled based on the date the offense was reported (Report Date) to MPD. The application displays two main crime categories: Violent Crime and Property Crime. Violent Crimes include homicide, sex abuse, assault with a dangerous weapon (ADW), and robbery. Violent crimes can be further searched by the weapon used. Property Crimes include burglary, motor vehicle theft, theft from vehicle, theft (other), and arson.CrimeCards collaboration between the Metropolitan Police Department (MPD), the Office of the Chief Technology Officer (OCTO), and community members who participated at the #SafterStrongerSmarterDC roundtable design review.

  12. Data from: Assessing the Link Between Foreclosure and Crime Rates: A...

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute of Justice (2025). Assessing the Link Between Foreclosure and Crime Rates: A Multi-level Analysis of Neighborhoods Across 29 Large United States Cities, 2007-2009 [Dataset]. https://catalog.data.gov/dataset/assessing-the-link-between-foreclosure-and-crime-rates-a-multi-level-analysis-of-neig-2007
    Explore at:
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    United States
    Description

    These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The study integrated neighborhood-level data on robbery and burglary gathered from local police agencies across the United States, foreclosure data from RealtyTrac (a real estate information company), and a wide variety of social, economic, and demographic control variables from multiple sources. Using census tracts to approximate neighborhoods, the study regressed 2009 neighborhood robbery and burglary rates on foreclosure rates measured for 2007-2008 (a period during which foreclosure spiked dramatically in the nation), while accounting for 2007 robbery and burglary rates and other control variables that captured differences in social, economic, and demographic context across American neighborhoods and cities for this period. The analysis was based on more than 7,200 census tracts in over 60 large cities spread across 29 states. Core research questions were addressed with a series of multivariate multilevel and single-level regression models that accounted for the skewed nature of neighborhood crime patterns and the well-documented spatial dependence of crime. The study contains one data file with 8,198 cases and 99 variables.

  13. Recorded crime data by Community Safety Partnership area

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jul 24, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for National Statistics (2024). Recorded crime data by Community Safety Partnership area [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/recordedcrimedatabycommunitysafetypartnershiparea
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Recorded crime figures for CSP areas. Number of offences for the last two years, percentage change, and rates per 1,000 population for the latest year.

  14. Rural crime statistics

    • gov.uk
    • s3.amazonaws.com
    Updated Jun 30, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department for Environment, Food & Rural Affairs (2022). Rural crime statistics [Dataset]. https://www.gov.uk/government/statistics/rural-crime
    Explore at:
    Dataset updated
    Jun 30, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Environment, Food & Rural Affairs
    Description

    Incidence rates of crime in rural and urban areas.

    Metadata

    Indicators:

    • police recorded violence against the person offences per 1,000 population
    • police recorded sexual offences per 1,000 population
    • police recorded robbery offences per 1,000 population
    • police recorded domestic burglary offences per 1,000 households
    • police recorded vehicles offences per 1,000 population

    Data Source: ONS, Recorded crime data at Community Safety Partnership / Local Authority level

    Coverage: England

    Rural classification used: Local Authority Rural Urban Classification

    Additional information:

    Defra statistics: rural

    Email mailto:rural.statistics@defra.gov.uk">rural.statistics@defra.gov.uk

    <p class="govuk-body">You can also contact us via Twitter: <a href="https://twitter.com/DefraStats" class="govuk-link">https://twitter.com/DefraStats</a></p>
    

  15. m

    NEIGHBORHOOD CRIME STATS

    • opendata.minneapolismn.gov
    • hub.arcgis.com
    Updated May 4, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MapIT Minneapolis (2020). NEIGHBORHOOD CRIME STATS [Dataset]. https://opendata.minneapolismn.gov/datasets/neighborhood-crime-stats/api
    Explore at:
    Dataset updated
    May 4, 2020
    Dataset authored and provided by
    MapIT Minneapolis
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    In February 2019, we updated the neighborhood assignment with regards to the new police record system.

    The data set is refreshed on the third day of the month at 8:45 AM. The website will reflect the last time the data set was updated and the total count of rows. The grid on the “Data” tab will display the up to date data. However, in certain situations there is a delay in the refresh of the downloadable data file. Sometimes the downloadable file does not reflect the updates to the data in the portal. After a delay (duration has been variable; up to 30 minutes), the file will be updated on the server and then downloads will include the updated data.

  16. a

    Pittsburgh - Crime Rates

    • hub.arcgis.com
    Updated Jun 9, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Civic Analytics Network (2016). Pittsburgh - Crime Rates [Dataset]. https://hub.arcgis.com/maps/civicanalytics::pittsburgh-crime-rates/about
    Explore at:
    Dataset updated
    Jun 9, 2016
    Dataset authored and provided by
    Civic Analytics Network
    Area covered
    Description

    This map shows a comparable measure of crime in the United States. The crime index compares the average local crime level to that of the United States as a whole. An index of 100 is average. A crime index of 120 indicates that crime in that area is 20 percent above the national average.The crime data is provided by Applied Geographic Solutions, Inc. (AGS). AGS created models using the FBI Uniform Crime Report databases as the primary data source and using an initial range of about 65 socio-economic characteristics taken from the 2000 Census and AGS’ current year estimates. The crimes included in the models include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. The total crime index incorporates all crimes and provides a useful measure of the relative “overall” crime rate in an area. However, these are unweighted indexes, meaning that a murder is weighted no more heavily than a purse snatching in the computations. The geography depicts states, counties, Census tracts and Census block groups. An urban/rural "mask" layer helps you identify crime patterns in rural and urban settings. The Census tracts and block groups help identify neighborhood-level variation in the crime data.------------------------The Civic Analytics Network collaborates on shared projects that advance the use of data visualization and predictive analytics in solving important urban problems related to economic opportunity, poverty reduction, and addressing the root causes of social problems of equity and opportunity. For more information see About the Civil Analytics Network.

  17. World's most dangerous cities, by crime rate 2025

    • statista.com
    Updated Jun 26, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). World's most dangerous cities, by crime rate 2025 [Dataset]. https://www.statista.com/statistics/243797/ranking-of-the-most-dangerous-cities-in-the-world-by-murder-rate-per-capita/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    World
    Description

    In 2025, Pietermaritzburg in South Africa ranked as the world's most dangerous city with a crime rate of 82 per 100,000 inhabitants. Five of the 10 cities with the highest crime rates worldwide are found in South Africa. The list does not include countries where war and conflict exist. South Africa dominates crime statistics When looking at crime rates, among the 10 most dangerous cities in the world, half of them are found in South Africa. The country is struggling with extremely high levels of inequality, and is struggling with high levels of crime and power outages, harming the country's economy and driving more people into unemployment and poverty. Crime in Latin America On the other hand, when looking at murder rates, Latin America dominates the list of the world's most dangerous countries. Violence in Latin America is caused in great part by drug trafficking, weapons trafficking, and gang wars.

  18. N

    NYC crime

    • data.cityofnewyork.us
    • data.wu.ac.at
    Updated May 7, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Police Department (NYPD) (2017). NYC crime [Dataset]. https://data.cityofnewyork.us/Public-Safety/NYC-crime/qb7u-rbmr
    Explore at:
    xml, csv, application/rdfxml, tsv, application/rssxml, kml, application/geo+json, kmzAvailable download formats
    Dataset updated
    May 7, 2017
    Authors
    Police Department (NYPD)
    Area covered
    New York
    Description

    This dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) for all complete quarters so far this year (2017). For additional details, please see the attached data dictionary in the ‘About’ section.

  19. Data from: Crime Factors and Neighborhood Decline in Chicago, 1979

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute of Justice (2025). Crime Factors and Neighborhood Decline in Chicago, 1979 [Dataset]. https://catalog.data.gov/dataset/crime-factors-and-neighborhood-decline-in-chicago-1979-60294
    Explore at:
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    Chicago
    Description

    This study explores the relationship between crime and neighborhood deterioration in eight neighborhoods in Chicago. The neighborhoods were selected on the basis of slowly or rapidly appreciating real estate values, stable or changing racial composition, and high or low crime rates. These data provide the results of a telephone survey administered to approximately 400 heads of households in each study neighborhood, a total of 3,310 completed interviews. The survey was designed to measure victimization experience, fear and perceptions of crime, protective measures taken, attitudes toward neighborhood quality and resources, attitudes toward the neighborhood as an investment, and density of community involvement. Each record includes appearance ratings for the block of the respondent's residence and aggregate figures on personal and property victimization for that city block. The aggregate appearance ratings were compiled from windshield surveys taken by trained personnel of the National Opinion Research Center. The criminal victimization figures came from Chicago City Police files.

  20. SANDAG Crime Data

    • data.sandiegocounty.gov
    application/rdfxml +5
    Updated Aug 7, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    SANDAG and FBI (2019). SANDAG Crime Data [Dataset]. https://data.sandiegocounty.gov/Safety/SANDAG-Crime-Data/486f-q228
    Explore at:
    json, csv, application/rssxml, xml, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Aug 7, 2019
    Dataset provided by
    Federal Bureau of Investigationhttp://fbi.gov/
    San Diego Association Of Governmentshttp://www.sandag.org/
    Authors
    SANDAG and FBI
    Description

    SANDAG provides an annual report on crime in the San Diego region. This dataset contains data from the 2009 through 2022 editions of the report. Data for 2023 is converted from California Incident Based Reporting System (CIBRS) data provided by SANDAG. Additional data comes from Arjis and DOJ OpenJustice. Some data for previous years reports is updated with new editions. "San Diego County" includes all cities and unincorporated areas in San Diego County. "Sheriff - Total" includes the contract cities and the unincorporated area served by the San Diego County Sheriff's Department. California and United States data come from the FBI's Annual Crime Reports.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Clarke, Philippa; Melendez, Robert; Chenoweth, Megan (2023). National Neighborhood Data Archive (NaNDA): Crimes by County, United States, 2002-2014 [Dataset]. http://doi.org/10.3886/ICPSR38649.v1
Organization logo

National Neighborhood Data Archive (NaNDA): Crimes by County, United States, 2002-2014

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
ascii, stata, sas, delimited, r, spssAvailable download formats
Dataset updated
Jan 30, 2023
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
Clarke, Philippa; Melendez, Robert; Chenoweth, Megan
License

https://www.icpsr.umich.edu/web/ICPSR/studies/38649/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38649/terms

Time period covered
2002 - 2014
Area covered
United States
Description

This dataset contains county-level totals for the years 2002-2014 for eight types of crime: murder, rape, robbery, aggravated assault, burglary, larceny, motor vehicle theft, and arson. These crimes are classed as Part I criminal offenses by the United States Federal Bureau of Investigations (FBI) in their Uniform Crime Reporting (UCR) program. Each record in the dataset represents the total of each type of criminal offense reported in (or, in the case of missing data, attributed to) the county in a given year.

Search
Clear search
Close search
Google apps
Main menu