100+ datasets found
  1. USA - reported robbery rate 1990-2023

    • statista.com
    Updated Nov 18, 2024
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    Statista (2024). USA - reported robbery rate 1990-2023 [Dataset]. https://www.statista.com/statistics/191235/reported-robbery-rate-in-the-us-since-1990/
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    Dataset updated
    Nov 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the nationwide robbery rate in the United States was 66.5 cases per 100,000 of the population. This is a significant decrease from 1990 levels, when the robbery rate stood at 257 cases per 100,000 of the population.

  2. Number of reported robberies U.S. 1990-2023

    • statista.com
    Updated Nov 18, 2024
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    Statista (2024). Number of reported robberies U.S. 1990-2023 [Dataset]. https://www.statista.com/statistics/191139/reported-robbery-cases-in-the-us-since-1990/
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    Dataset updated
    Nov 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, an estimated 222,795 reported cases of robbery occurred in the United States. Robberies have decreased significantly since 1990, when 639,270 robberies were reported nationwide.

  3. Uniform Crime Reports, 1966-1976: Data Aggregated by Standard Metropolitan...

    • icpsr.umich.edu
    • catalog.data.gov
    ascii
    Updated Feb 16, 1992
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    United States Department of Justice. Federal Bureau of Investigation (1992). Uniform Crime Reports, 1966-1976: Data Aggregated by Standard Metropolitan Statistical Areas [Dataset]. http://doi.org/10.3886/ICPSR07743.v1
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    asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Justice. Federal Bureau of Investigation
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7743/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7743/terms

    Time period covered
    1966 - 1976
    Area covered
    United States
    Description

    This data collection contains a revised SMSA (Standard Metropolitan Statistical Area) aggregate version of the FBI's Uniform Crime Reports (UCR) statistics gathered from 1966-1976, in which original UCR agency records are combined to produce several types of crime rates, by SMSA, for eight crimes. The data were prepared by the Hoover Institution for Economic Studies of the Criminal Justice System, at Stanford University. The data in the file are an aggregation of all relevant law enforcement reporting agencies into 291 SMSAs, and corresponding approximate aggregations of crime rates and dispositions. Each record contains crime rates for one SMSA in one specific year, with data including annual statistics of eight index crimes, i.e., murder, manslaughter, rape, robbery, assault, burglary, larceny, and motor vehicle theft. Calculations include offense-based clearance rates (the number of clearances of juvenile clearances per reported offense), clearance-based rates (the number of persons charged per offense cleared by arrest), and charge-based rates (the number of persons whose cases were disposed in a particular manner per person charged). A related study is UNIFORM CRIME REPORTS, 1966-1976 (ICPSR 7676).

  4. Uniform Crime Reporting Program Data [United States]: County Level Arrest...

    • icpsr.umich.edu
    • catalog.data.gov
    ascii, sas, spss +1
    Updated Mar 30, 2006
    + more versions
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    United States Department of Justice. Federal Bureau of Investigation (2006). Uniform Crime Reporting Program Data [United States]: County Level Arrest and Offenses Data, 1977-1983 [Dataset]. http://doi.org/10.3886/ICPSR08703.v1
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    spss, sas, stata, asciiAvailable 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
    United States Department of Justice. Federal Bureau of Investigation
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8703/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8703/terms

    Time period covered
    1977 - 1983
    Area covered
    United States
    Description

    The files in this collection contain counts of arrests and offenses for UCR index crimes: murder, rape, robbery, assault, burglary, larceny, auto theft, and arson. County populations are also reported.

  5. D

    2020 robberies, theft

    • dallasopendata.com
    Updated Aug 1, 2025
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    Dallas Police Department (2025). 2020 robberies, theft [Dataset]. https://www.dallasopendata.com/Public-Safety/2020-robberies-theft/v3uv-ukdv
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    application/rdfxml, tsv, xml, csv, application/rssxml, kml, application/geo+json, kmzAvailable download formats
    Dataset updated
    Aug 1, 2025
    Authors
    Dallas Police Department
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Description

    This dataset represents the Dallas Police Public Data - RMS Incidents beginning June 1, 2014 to current-date. The Dallas Police Department strives to collect and disseminate police report information in a timely, accurate manner. This information reflects crimes as reported to the Dallas Police Department as of the current date. Crime classifications are based upon preliminary information supplied to the Dallas Police Department by the reporting parties and the preliminary classifications may be changed at a later date based upon additional investigation. Therefore, the Dallas Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information contained herein and the information should not be used for comparison purposes over time. The Dallas 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.

    This online site is an attempt to make it easier for citizens to access offense reports. In disseminating this crime information, we must also comply with current laws that regulate the release of potentially sensitive and confidential information. To ensure that privacy concerns are protected and legal standards are met, report data is "filtered" prior to being made available to the public. Among the exclusions are:

    1.) Sexually oriented offenses 2.) Offenses where juveniles or children (individuals under 17 years of age) are the victim or suspect 3.) Listing of property items that are considered evidence 4.) Social Service Referral offenses 5.) Identifying vehicle information in certain offenses

  6. C

    Chicago Robberies

    • data.cityofchicago.org
    Updated Jul 28, 2025
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    Chicago Police Department (2025). Chicago Robberies [Dataset]. https://data.cityofchicago.org/Public-Safety/Chicago-Robberies/7stq-5dq2
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    tsv, application/rssxml, application/rdfxml, csv, xml, kml, application/geo+json, kmzAvailable download formats
    Dataset updated
    Jul 28, 2025
    Authors
    Chicago Police Department
    Area covered
    Chicago
    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 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.

  7. Crime Risk Database, MSA

    • search.dataone.org
    • portal.edirepository.org
    Updated Oct 14, 2013
    + more versions
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne (2013). Crime Risk Database, MSA [Dataset]. https://search.dataone.org/view/knb-lter-bes.110.570
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    Dataset updated
    Oct 14, 2013
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne
    Time period covered
    Jan 1, 2004 - Nov 17, 2011
    Area covered
    Description

    Crime data assembled by census block group for the MSA from the Applied Geographic Solutions' (AGS) 1999 and 2005 'CrimeRisk' databases distributed by the Tetrad Computer Applications Inc. CrimeRisk is the result of an extensive analysis of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, CrimeRisk provides an accurate view of the relative risk of specific crime types at the block group level. Data from 1990 - 1996,1999, and 2004-2005 were used to compute the attributes, please refer to the 'Supplemental Information' section of the metadata for more details. Attributes are available for two categories of crimes, personal crimes and property crimes, along with total and personal crime indices. Attributes for personal crimes include murder, rape, robbery, and assault. Attributes for property crimes include burglary, larceny, and mother vehicle theft. 12 block groups have no attribute information. CrimeRisk is a block group and higher level geographic database consisting of a series of standardized indexes for a range of serious crimes against both persons and property. It is derived from an extensive analysis of several years of crime reports from the vast majority of law enforcement jurisdictions nationwide. The crimes included in the database are the "Part I" crimes and include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. These categories are the primary reporting categories used by the FBI in its Uniform Crime Report (UCR), with the exception of Arson, for which data is very inconsistently reported at the jurisdictional level. Part II crimes are not reported in the detail databases and are generally available only for selected areas or at high levels of geography. In accordance with the reporting procedures using in the UCR reports, aggregate indexes have been prepared for personal and property crimes separately, as well as a total index. While this provides a useful measure of the relative "overall" crime rate in an area, it must be recognized that these are unweighted indexes, in that a murder is weighted no more heavily than a purse snatching in the computation. For this reason, caution is advised when using any of the aggregate index values. The block group boundaries used in the dataset come from TeleAtlas's (formerly GDT) Dynamap data, and are consistent with all other block group boundaries in the BES geodatabase. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

  8. Data from: Uniform Crime Reports: Monthly Weapon-Specific Crime and Arrest...

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
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    Bureau of Justice Statistics (2025). Uniform Crime Reports: Monthly Weapon-Specific Crime and Arrest Time Series, 1975-1993 [National, State, and 12-City Data] [Dataset]. https://catalog.data.gov/dataset/uniform-crime-reports-monthly-weapon-specific-crime-and-arrest-time-series-1975-1993-natio-09efd
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Bureau of Justice Statisticshttp://bjs.ojp.gov/
    Description

    These data were prepared in conjunction with a project using Bureau of Labor Statistics data (not provided with this collection) and the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program data to examine the relationship between unemployment and violent crime. Three separate time-series data files were created as part of this project: a national time series (Part 1), a state time series (Part 2), and a time series of data for 12 selected cities: Baltimore, Buffalo, Chicago, Columbus, Detroit, Houston, Los Angeles, Newark, New York City, Paterson (New Jersey), and Philadelphia (Part 3). Each data file was constructed to include 82 monthly time series: 26 series containing the number of Part I (crime index) offenses known to police (excluding arson) by weapon used, 26 series of the number of offenses cleared by arrest or other exceptional means by weapon used in the offense, 26 series of the number of offenses cleared by arrest or other exceptional means for persons under 18 years of age by weapon used in the offense, a population estimate series, and three date indicator series. For the national and state data, agencies from the 50 states and Washington, DC, were included in the aggregated data file if they reported at least one month of information during the year. In addition, agencies that did not report their own data (and thus had no monthly observations on crime or arrests) were included to make the aggregated population estimate as close to Census estimates as possible. For the city time series, law enforcement agencies with jurisdiction over the 12 central cities were identified and the monthly data were extracted from each UCR annual file for each of the 12 agencies. The national time-series file contains 82 time series, the state file contains 4,083 time series, and the city file contains 963 time series, each with 228 monthly observations per time series. The unit of analysis is the month of observation. Monthly crime and clearance totals are provided for homicide, negligent manslaughter, total rape, forcible rape, attempted forcible rape, total robbery, firearm robbery, knife/cutting instrument robbery, other dangerous weapon robbery, strong-arm robbery, total assault, firearm assault, knife/cutting instrument assault, other dangerous weapon assault, simple nonaggravated assault, assaults with hands/fists/feet, total burglary, burglary with forcible entry, unlawful entry-no force, attempted forcible entry, larceny-theft, motor vehicle theft, auto theft, truck and bus theft, other vehicle theft, and grand total of all actual offenses.

  9. Number of reported robberies in the U.S. 2023, by state

    • ai-chatbox.pro
    • statista.com
    Updated Nov 21, 2024
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    Statista (2024). Number of reported robberies in the U.S. 2023, by state [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F232531%2Freported-robberies-in-the-us-by-state%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Nov 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the federal state of California had the most reported robberies in the United States, with 49,977 reported cases. Texas, New York, Illinois, and Florida rounded out the top five states for reported robbery cases in the country.

  10. Department of Justice

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +1more
    pdf
    Updated Jun 1, 2016
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    Department of Justice (2016). Department of Justice [Dataset]. https://data.wu.ac.at/schema/data_gov/MGM4OTA0MTEtOTA5My00YTBhLTg2MDItMTRiMTUyZmQ0NGFm
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2016
    Dataset provided by
    United States Department of Justicehttp://justice.gov/
    Description

    Since 1930, the Federal Bureau of Investigation (FBI) has administered the Uniform Crime Reporting Program (UCR). The UCR was designed to provide nationally representative estimates of the level and change in level of crimes known to and recorded by the p

  11. C

    robbery-one-year-prior-to-present

    • data.cityofchicago.org
    Updated Jul 27, 2025
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    Chicago Police Department (2025). robbery-one-year-prior-to-present [Dataset]. https://data.cityofchicago.org/Public-Safety/robbery-one-year-prior-to-present/et5t-hwmy
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    application/rdfxml, application/rssxml, csv, xml, tsv, application/geo+json, kmz, kmlAvailable download formats
    Dataset updated
    Jul 27, 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 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. 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://bit.ly/rk5Tpc.

  12. g

    Data from: Uniform Crime Reports [United States], 1930-1959

    • gimi9.com
    • icpsr.umich.edu
    • +1more
    Updated Apr 2, 2025
    + more versions
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    (2025). Uniform Crime Reports [United States], 1930-1959 [Dataset]. https://gimi9.com/dataset/data-gov_uniform-crime-reports-united-states-1930-1959-a3322/
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    Dataset updated
    Apr 2, 2025
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    United States
    Description

    This collection contains electronic versions of the Uniform Crime Reports publications for the early years of the Uniform Crime Reporting Program in the United States. The reports, which were published monthly from 1930 to 1931, quarterly from 1932 to 1940, and annually from 1941 to 1959, consist of tables showing the number of offenses known to the police as reported to the Federal Bureau of Investigation by contributing police departments. The term "offenses known to the police" includes those crimes designated as Part I classes of the Uniform Classification code occurring within the police jurisdiction, whether they became known to the police through reports of police officers, citizens, prosecuting or court officials, or otherwise. They were confined to the following group of seven classes of grave offenses, historically those offenses most often and most completely reported to the police: felonious homicide, including murder and nonnegligent manslaughter, and manslaughter by negligence, rape, robbery, aggravated assault, burglary -- breaking and entering, and larceny -- theft (including thefts $50 and over, and thefts under $50, and auto theft). The figures also included the number of attempted crimes in the designated classes excepting attempted murders classed as aggravated assaults. In other words, an attempted burglary or robbery, for example, was reported in the same manner as if the crimes had been completed. "Offenses known to the police" included, therefore, all of the above offenses, including attempts, which were reported by the police departments and not merely arrests or cleared cases.

  13. Number of robberies reported Los Angeles 2010-2020

    • statista.com
    Updated Jul 11, 2025
    + more versions
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    Statista (2025). Number of robberies reported Los Angeles 2010-2020 [Dataset]. https://www.statista.com/statistics/1358887/number-robberies-reported-los-angeles/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Los Angeles, United States (California)
    Description

    As of 2020, there were ***** robberies reported in Los Angeles by the Los Angeles Police Department. Within the provided time period, the highest number of robberies was reported in 2010, at ******.

  14. C

    2012-2013 Woodlawn Robbery

    • data.cityofchicago.org
    Updated Aug 1, 2025
    + more versions
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    Chicago Police Department (2025). 2012-2013 Woodlawn Robbery [Dataset]. https://data.cityofchicago.org/Public-Safety/2012-2013-Woodlawn-Robbery/y44n-ihyb
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    tsv, csv, application/rssxml, application/rdfxml, xml, application/geo+json, kml, kmzAvailable download formats
    Dataset updated
    Aug 1, 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

  15. a

    Property Related Crimes and Aggravated Robbery Reported per province 2014...

    • hub.arcgis.com
    • wcg-opendataportal-westerncapegov.hub.arcgis.com
    Updated Mar 5, 2025
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    Western Cape Government Living Atlas (2025). Property Related Crimes and Aggravated Robbery Reported per province 2014 2024 [Dataset]. https://hub.arcgis.com/datasets/690d62418f704fa0b14bf983b8982399
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    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    Western Cape Government Living Atlas
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Data presented as a spreadsheet; Provides an overview of the number of property related crimes and aggravated robbery reported across all provinces in South Africa since 2014.Linage: The data presented is extracted from the South African Police Service (SAPS) Crime Statistics trends as published on https://www.saps.gov.za/services/crimestats.phpData source: 2023-2024 _Annual_Financial year_WEB, SAPS, published ‎2024Contact person: Elize van der Berg, Department of the Premier, Elize.VanDerBerg@westerncape.gov.za

  16. C

    Robbery in lakeview

    • data.cityofchicago.org
    Updated Jul 29, 2025
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    Chicago Police Department (2025). Robbery in lakeview [Dataset]. https://data.cityofchicago.org/w/vj4b-j2zt/3q3f-6823?cur=MVIaIVm3x0r
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    kmz, csv, kml, application/rssxml, application/rdfxml, application/geo+json, tsv, xmlAvailable download formats
    Dataset updated
    Jul 29, 2025
    Authors
    Chicago Police Department
    Area covered
    Lake View
    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

  17. a

    Indicator 16.3.1: Police reporting rate for robbery by sex (percent)

    • sdgs.amerigeoss.org
    • hub.arcgis.com
    Updated Aug 18, 2020
    + more versions
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    UN DESA Statistics Division (2020). Indicator 16.3.1: Police reporting rate for robbery by sex (percent) [Dataset]. https://sdgs.amerigeoss.org/datasets/c98a93c6120e4b969436c3d50ce4a4e8
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    Dataset updated
    Aug 18, 2020
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Description

    Series Name: Police reporting rate for robbery by sex (percent)Series Code: VC_PRR_ROBBRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 16.3.1: Proportion of victims of violence in the previous 12 months who reported their victimization to competent authorities or other officially recognized conflict resolution mechanismsTarget 16.3: Promote the rule of law at the national and international levels and ensure equal access to justice for allGoal 16: Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levelsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  18. Robbery Open Data

    • data.torontopolice.on.ca
    • communautaire-esrica-apps.hub.arcgis.com
    • +1more
    Updated Mar 28, 2023
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    Toronto Police Service (2023). Robbery Open Data [Dataset]. https://data.torontopolice.on.ca/datasets/TorontoPS::robbery-open-data/about
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    Dataset updated
    Mar 28, 2023
    Dataset authored and provided by
    Toronto Police Servicehttps://www.tps.ca/
    Area covered
    Description

    This dataset includes all Robbery occurrences by reported date and related offences since 2014.Robbery DashboardDownload DocumentationThis data is provided at the offence and/or victim level, therefore one occurrence number may have several rows of data associated to the various MCIs used to categorize the occurrence.The downloadable datasets display the REPORT_DATE and OCC_DATE fields in UTC timezone.This data does not include occurrences that have been deemed unfounded. The definition of unfounded according to Statistics Canada is: “It has been determined through police investigation that the offence reported did not occur, nor was it attempted” (Statistics Canada, 2020).**The dataset is intended to provide communities with information regarding public safety and awareness. The data supplied to the Toronto Police Service by the reporting parties is preliminary and may not have been fully verified at the time of publishing the dataset. The location of crime occurrences have been deliberately offset to the nearest road intersection node to protect the privacy of parties involved in the occurrence. All location data must be considered as an approximate location of the occurrence and users are advised not to interpret any of these locations as related to a specific address or individual.NOTE: Due to the offset of occurrence location, the numbers by Division and Neighbourhood may not reflect the exact count of occurrences reported within these geographies. Therefore, the Toronto Police Service does not guarantee the accuracy, completeness, timeliness of the data and it should not be compared to any other source of crime data.By accessing these datasets, the user agrees to full acknowledgement of the Open Government Licence - Ontario.In accordance with the Municipal Freedom of Information and Protection of Privacy Act, the Toronto Police Service has taken the necessary measures to protect the privacy of individuals involved in the reported occurrences. No personal information related to any of the parties involved in the occurrence will be released as open data. ** Statistics Canada. 2020. Uniform Crime Reporting Manual. Surveys and Statistical Programs. Canadian Centre for Justice Statistics.

  19. N

    Burglary, theft, robbery, larceny

    • data.cityofnewyork.us
    • data.wu.ac.at
    Updated Apr 15, 2025
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    Police Department (NYPD) (2025). Burglary, theft, robbery, larceny [Dataset]. https://data.cityofnewyork.us/Public-Safety/Burglary-theft-robbery-larceny/cx6b-stbb
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    csv, tsv, xml, application/rdfxml, application/rssxml, kml, kmz, application/geo+jsonAvailable download formats
    Dataset updated
    Apr 15, 2025
    Authors
    Police Department (NYPD)
    Description

    This dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) from 2006 to the end of last year (2015). For additional details, please see the attached data dictionary in the ‘About’ section.

  20. C

    ASSAULT AND ROBBERY IN BEAT 0915

    • data.cityofchicago.org
    Updated Jul 31, 2025
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    Chicago Police Department (2025). ASSAULT AND ROBBERY IN BEAT 0915 [Dataset]. https://data.cityofchicago.org/w/k773-iswf/3q3f-6823?cur=6ZUXdgECosZ
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    kml, kmz, csv, xlsx, application/geo+json, xmlAvailable download formats
    Dataset updated
    Jul 31, 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

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Statista (2024). USA - reported robbery rate 1990-2023 [Dataset]. https://www.statista.com/statistics/191235/reported-robbery-rate-in-the-us-since-1990/
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USA - reported robbery rate 1990-2023

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Dataset updated
Nov 18, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In 2023, the nationwide robbery rate in the United States was 66.5 cases per 100,000 of the population. This is a significant decrease from 1990 levels, when the robbery rate stood at 257 cases per 100,000 of the population.

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