100+ datasets found
  1. d

    RMS Crime Incidents

    • data.detroitmi.gov
    • detroitdata.org
    • +3more
    Updated Jul 31, 2024
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    City of Detroit (2024). RMS Crime Incidents [Dataset]. https://data.detroitmi.gov/maps/rms-crime-incidents
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    Dataset updated
    Jul 31, 2024
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    The RMS Crime Incidents dataset consists of crime reports from the Detroit Police Department Records Management System (RMS). This data reflects reported criminal offenses that have occurred in the City of Detroit. Incident-based offense data is extracted from the Detroit Police Department's records management system hourly. This data set contains the most recent data available and is updated anytime DPD sends official crime records contributing to the Michigan Incident Crime Reporting (MICR) or the National Incident Based Reporting systems (reflected by the IBR Date field). It should be noted that some incidents involve the commission of multiple offenses, such as a domestic assault where property was also vandalized. In such cases, there is a row in the dataset for each offense, and the related offenses share a common Crime ID and Report Number.

  2. Crimes - One year prior to present

    • chicago.gov
    • data.cityofchicago.org
    • +3more
    csv, xlsx, xml
    Updated Sep 3, 2025
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    Chicago Police Department (2025). Crimes - One year prior to present [Dataset]. https://www.chicago.gov/city/en/dataset/crime.html
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    xlsx, xml, csvAvailable download formats
    Dataset updated
    Sep 3, 2025
    Dataset authored and provided by
    Chicago Police Departmenthttp://www.chicagopolice.org/
    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.

  3. 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.

  4. d

    Crime Data from 2020 to Present

    • catalog.data.gov
    • data.lacity.org
    • +1more
    Updated Sep 7, 2025
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    data.lacity.org (2025). Crime Data from 2020 to Present [Dataset]. https://catalog.data.gov/dataset/crime-data-from-2020-to-present
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    Dataset updated
    Sep 7, 2025
    Dataset provided by
    data.lacity.org
    Description

    ***Starting on March 7th, 2024, the Los Angeles Police Department (LAPD) will adopt a new Records Management System for reporting crimes and arrests. This new system is being implemented to comply with the FBI's mandate to collect NIBRS-only data (NIBRS — FBI - https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs). During this transition, users will temporarily see only incidents reported in the retiring system. However, the LAPD is actively working on generating new NIBRS datasets to ensure a smoother and more efficient reporting system. *** **Update 1/18/2024 - LAPD is facing issues with posting the Crime data, but we are taking immediate action to resolve the problem. We understand the importance of providing reliable and up-to-date information and are committed to delivering it. As we work through the issues, we have temporarily reduced our updates from weekly to bi-weekly to ensure that we provide accurate information. Our team is actively working to identify and resolve these issues promptly. We apologize for any inconvenience this may cause and appreciate your understanding. Rest assured, we are doing everything we can to fix the problem and get back to providing weekly updates as soon as possible. ** This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.

  5. w

    Historic police recorded crime and outcomes open data tables

    • gov.uk
    Updated Jan 30, 2025
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    Home Office (2025). Historic police recorded crime and outcomes open data tables [Dataset]. https://www.gov.uk/government/statistics/police-recorded-crime-open-data-tables
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    Dataset updated
    Jan 30, 2025
    Dataset provided by
    GOV.UK
    Authors
    Home Office
    Description

    For the latest data tables see ‘Police recorded crime and outcomes open data tables’.

    These historic data tables contain figures up to September 2024 for:

    1. Police recorded crime
    2. Crime outcomes
    3. Transferred/cancelled records (formerly ‘no-crimes’)
    4. Knife crime
    5. Firearms
    6. Hate crime
    7. Fraud crime
    8. Rape incidents crime

    There are counting rules for recorded crime to help to ensure that crimes are recorded consistently and accurately.

    These tables are designed to have many uses. The Home Office would like to hear from any users who have developed applications for these data tables and any suggestions for future releases. Please contact the Crime Analysis team at crimeandpolicestats@homeoffice.gov.uk.

  6. O

    Crime Reporting Statistics

    • data.mesaaz.gov
    csv, xlsx, xml
    Updated Jan 27, 2021
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    Police (2021). Crime Reporting Statistics [Dataset]. https://data.mesaaz.gov/Police/Crime-Reporting-Statistics/37q9-d27y
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    xlsx, xml, csvAvailable download formats
    Dataset updated
    Jan 27, 2021
    Dataset authored and provided by
    Police
    Description

    ***In January 2020, as part of implementing a new citywide police incident reporting system the City began moving away from reporting crime to the FBI Unified Crime Reporting (UCR) Program and instead to the new National Incident-Based Reporting System (NIBRS) format. For this reason, 2020 UCR data may have inconsistencies and/or inaccuracies. A filtered view of UCR data is available for 2011-2019 at https://citydata.mesaaz.gov/Police/Crime-Reporting-Statistics-Uniform-Crime-Reporting/bfen-qa5d

    As of January 1, 2021, the National Incident-Based Reporting System (NIBRS) became the national crime data collection program. NIBRS was implemented to improve the overall quality of crime data collected by law enforcement, by capturing details on each single crime incident, as well as on separate offenses within the same incident. The historic Summary Reporting System (SRS) data collection, which collects more limited information than the more robust NIBRS, was phased out to make Uniform Crime Reporting (UCR) a NIBRS-only data collection.

    Coming soon, look for a new dataset based on NIBRS, which will provide more complete and comprehensive data for law enforcement, researchers, and the public.

    The Uniform Crime Reporting Program collects statistics on the number of offenses known to City of Mesa Police Department. Address and Location data are not exact location of incidents and have been rounded to nearest hundred block. Lat/Long are approximations only based on rounded hundred block. Part 1 offenses are reported monthly and are chosen by the Federal Bureau of Investigation (FBI) because they are serious crimes, they occur with regularity in all areas of the country, and they are likely to be reported to police. Part I offenses are defined as: Criminal homicide, Forcible Rape, Robbery, Aggravated Assault, Burglary (breaking or entering), Larceny-theft (except motor vehicle theft), Motor vehicle theft and Arson.

  7. Crime Data from 2010 to 2019

    • data.lacity.org
    • catalog.data.gov
    csv, xlsx, xml
    Updated Aug 14, 2025
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    Los Angeles Police Department (2025). Crime Data from 2010 to 2019 [Dataset]. https://data.lacity.org/Public-Safety/Crime-Data-from-2010-to-2019/63jg-8b9z
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Aug 14, 2025
    Dataset authored and provided by
    Los Angeles Police Departmenthttp://lapdonline.org/
    License

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

    Description

    This dataset reflects incidents of crime in the City of Los Angeles from 2010 - 2019. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.

  8. O

    Crime

    • data.montgomerycountymd.gov
    • datasets.ai
    • +4more
    csv, xlsx, xml
    Updated Sep 9, 2025
    + more versions
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    Montgomery County, MD (2025). Crime [Dataset]. https://data.montgomerycountymd.gov/widgets/icn6-v9z3
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    Sep 9, 2025
    Dataset authored and provided by
    Montgomery County, MD
    License

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

    Description

    Updated daily postings on Montgomery County’s open data website, dataMontgomery, provide the public with direct access to crime statistic databases - including raw data and search functions – of reported County crime. The data presented is derived from reported crimes classified according to the National Incident-Based Reporting System (NIBRS) of the Criminal Justice Information Services (CJIS) Division Uniform Crime Reporting (UCR) Program and documented by approved police incident reports. The data is compiled by “EJustice”, a respected law enforcement records-management system used by the Montgomery County Police Department and many other law enforcement agencies. To protect victims’ privacy, no names or other personal information are released. All data is refreshed on a quarterly basis to reflect any changes in status due to on-going police investigation.

    dataMontgomery allows the public to query the Montgomery County Police Department's database of founded crime. The information contained herein includes all founded crimes reported after July 1st 2016 and entered to-date utilizing Uniform Crime Reporting (UCR) rules. Please note that under UCR rules multiple offenses may appear as part of a single founded reported incident, and each offense may have multiple victims. Please note that these crime reports are based on preliminary information supplied to the Police Department by the reporting parties. Therefore, the crime data available on this web page may reflect:

    -Information not yet verified by further investigation -Information that may include attempted and reported crime -Preliminary crime classifications that may be changed at a later date based upon further investigation -Information that may include mechanical or human error -Arrest information [Note: all arrested persons are presumed innocent until proven guilty in a court of law.]

    Update Frequency: Daily

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

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

    In 2023, the District of Columbia had the highest reported violent crime rate in the United States, with 1,150.9 violent crimes per 100,000 of the population. Maine had the lowest reported violent crime rate, with 102.5 offenses per 100,000 of the population. Life in the District The District of Columbia has seen a fluctuating population over the past few decades. Its population decreased throughout the 1990s, when its crime rate was at its peak, but has been steadily recovering since then. While unemployment in the District has also been falling, it still has had a high poverty rate in recent years. The gentrification of certain areas within Washington, D.C. over the past few years has made the contrast between rich and poor even greater and is also pushing crime out into the Maryland and Virginia suburbs around the District. Law enforcement in the U.S. Crime in the U.S. is trending downwards compared to years past, despite Americans feeling that crime is a problem in their country. In addition, the number of full-time law enforcement officers in the U.S. has increased recently, who, in keeping with the lower rate of crime, have also made fewer arrests than in years past.

  10. s

    Crime Data 2024 Part 1 Offenses With Lat and Long Info

    • data.syr.gov
    • hub.arcgis.com
    Updated Feb 1, 2024
    + more versions
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    admin_syr (2024). Crime Data 2024 Part 1 Offenses With Lat and Long Info [Dataset]. https://data.syr.gov/maps/348b60d86ca84a0aab346725db7b08d9_0/explore
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    Dataset updated
    Feb 1, 2024
    Dataset authored and provided by
    admin_syr
    Area covered
    Description

    This 2024 crime data is the list of calls for service that the Syracuse Police Department responded to in 2024. These records does not include rape offenses as well as any crimes that have been sealed by the court. These records are derived from the records management system utilized by the SPD. The data is then anonymized by SPD Crime Analysts weekly.After this data is received weekly from the SPD, this data is then mapped to the approximate location of that incident, using the 100 block level and a Geolocator File from Onondaga County GIS Department. This data is then updated on the Open Data Portal. The points should not be construed to be the exact point this incidents were reported to occur, rather the block where these incident is reported to occur.Crimes are reported to the FBI in two major categories under the Uniform Crime Reports specification: Part 1 and Part 2 crimes. Part 1 crimes include criminal homicide, forcible rape, robbery, aggravated assault, burglary, larceny-theft, and motor vehicle theft. In these records, rape offenses have been excluded due to victim privacy concerns.Part 2 crimes include all other offenses. A more detailed guide to Part 1 crimes is listed below. More details about Part 2 Crimes is listed in the Part 2 Crimes Dataset.When using the data, the date and time provided are when the crime was actually reported. This means that though a larceny might be reported at noon, the actual crime could have happened at 8am, but was not realized until someone noticed hours later. Similarly, if a home break-in happens during a holiday weekend when the owners are out of town, the crime report may not come in until they return home and notice the crime took place previously. The address in the dataset is where the crime occurred. The location is also anonymized to the block level, so a crime that occurred at 123 Main St. will appear as occurring on the 100 block of Main St. This is to protect the privacy of all involved. Finally, information about crimes is fluid, and details about the crime could change.Data DictionaryDate End -Date that the crime was reported. It could have happened earlier. This is in the format of DD-MON-YY (Ex. 01-Jan-22).Time start and time end -Listed in military time (2400) - Burglaries and larcenies are often a time frame.Address- Where the crime occurred. All addresses are in the 100’s because the Syracuse Police Department allows privacy for residents and only lists the block number.Code Defined-Offense names are listed as crime categories group for ease of understanding. There may have been other offenses also, but the one displayed is the highest Unified Crime Reporting (UCR) category.Arrest- Means that there was an arrest, but not necessarily for that crime.Larceny Code- Indicates the type of larceny (Example: From Building or From Motor Vehicle).LAT - The approximate latitude (not actual) that this call for service occurred.LONG- The approximate latitude (not actual) that this call for service occurred.DisclaimerData derived from the Syracuse Police Department record management system, any data not listed is not currently available.Part I Crime DefinitionsCriminal homicide—a.) Murder and non-negligent manslaughter: the willful (non-negligent) killing of one human being by another. Deaths caused by negligence, attempts to kill, assaults to kill, suicides, and accidental deaths are excluded. The program classifies justifiable homicides separately and limits the definition to: (1) the killing of a felon by a law enforcement officer in the line of duty; or (2) the killing of a felon, during the commission of a felony, by a private citizen. b.) Manslaughter by negligence: the killing of another person through gross negligence. Deaths of persons due to their own negligence, accidental deaths not resulting from gross negligence, and traffic fatalities are not included in the category Manslaughter by Negligence.Robbery—The taking or attempting to take anything of value from the care, custody, or control of a person or persons by force or threat of force or violence and/or by putting the victim in fear.Aggravated assault—An unlawful attack by one person upon another for the purpose of inflicting severe or aggravated bodily injury. This type of assault usually is accompanied by the use of a weapon or by means likely to produce death or great bodily harm. Simple assaults are excluded.Burglary(breaking or entering)—The unlawful entry of a structure to commit a felony or a theft. Attempted forcible entry is included.Larceny-theft (except motor vehicle theft)—The unlawful taking, carrying, leading, or riding away of property from the possession or constructive possession of another. Examples are thefts of bicycles, motor vehicle parts and accessories, shoplifting, pocket picking, or the stealing of any property or article that is not taken by force and violence or by fraud. Attempted larcenies are included. Embezzlement, confidence games, forgery, check fraud, etc., are excluded.Motor vehicle theft—The theft or attempted theft of a motor vehicle. A motor vehicle is self-propelled and runs on land surface and not on rails. Motorboats, construction equipment, airplanes, and farming equipment are specifically excluded from this category.Dataset Contact Information:Organization: Syracuse Police Department (SPD)Position: Data Program ManagerCity: Syracuse, NYE-Mail Address: opendata@syrgov.net

  11. O

    Crime Reports

    • ianofaustin.com
    • datahub.austintexas.gov
    • +4more
    application/rdfxml +5
    Updated Apr 7, 2025
    + more versions
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    City of Austin, Texas - data.austintexas.gov (2025). Crime Reports [Dataset]. https://www.ianofaustin.com/moving-to-austin
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    xml, json, csv, application/rssxml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Apr 7, 2025
    Dataset authored and provided by
    City of Austin, Texas - data.austintexas.gov
    License

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

    Description

    AUSTIN POLICE DEPARTMENT DATA DISCLAIMER Please read and understand the following information.

    This dataset contains a record of incidents that the Austin Police Department responded to and wrote a report. Please note one incident may have several offenses associated with it, but this dataset only depicts the highest level offense of that incident. Data is from 2003 to present. This dataset is updated weekly. Understanding the following conditions will allow you to get the most out of the data provided. Due to the methodological differences in data collection, different data sources may produce different results. This database is updated weekly, and a similar or same search done on different dates can produce different results. Comparisons should not be made between numbers generated with this database to any other official police reports. Data provided represents only calls for police service where a report was written. Totals in the database may vary considerably from official totals following investigation and final categorization. Therefore, the data should not be used for comparisons with Uniform Crime Report statistics. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided. Pursuant to section 552.301 (c) of the Government Code, the City of Austin has designated certain addresses to receive requests for public information sent by electronic mail. For requests seeking public records held by the Austin Police Department, please submit by utilizing the following link: https://apd-austintx.govqa.us/WEBAPP/_rs/(S(0auyup1oiorznxkwim1a1vpj))/supporthome.aspx

  12. N

    NYC crime

    • data.cityofnewyork.us
    • data.wu.ac.at
    Updated Jul 15, 2025
    + more versions
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    Police Department (NYPD) (2025). NYC crime [Dataset]. https://data.cityofnewyork.us/Public-Safety/NYC-crime/qb7u-rbmr
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    xml, csv, application/rdfxml, tsv, application/rssxml, kml, application/geo+json, kmzAvailable download formats
    Dataset updated
    Jul 15, 2025
    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.

  13. c

    Crime Data

    • opendata.charlottesville.org
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +3more
    Updated Jun 29, 2017
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    City of Charlottesville (2017). Crime Data [Dataset]. https://opendata.charlottesville.org/datasets/crime-data
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    Dataset updated
    Jun 29, 2017
    Dataset authored and provided by
    City of Charlottesville
    License

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

    Area covered
    Description

    *This dataset is updated nightly. Crime data represents the initial information that is provided by individuals calling for police assistance. Please note that the dataset only contains the last 5 years. Remaining information is often amended for accuracy after an Officer arrives and investigates the reported incident. Most often, the changes are made to more accurately reflect the official legal definition of the crimes reported. An example of this is for someone to report that they have been "robbed," when their home was broken into while they were away. The official definition of "robbery" is to take something by force. An unoccupied home being broken into, is actually defined as a "burglary," or a "breaking and entering." While there are mechanisms in place to make each initial call as accurate as possible, some events require evaluation upon arrival. Caution should be used when making assumptions based solely on the data provided, as they may not represent the official crime reports.

  14. O

    Crime Responses

    • data.cityofgainesville.org
    • splitgraph.com
    Updated Sep 2, 2025
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    Gainesville Police Department (2025). Crime Responses [Dataset]. https://data.cityofgainesville.org/Public-Safety/Crime-Responses/gvua-xt9q
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    csv, kml, xml, application/geo+json, kmz, xlsxAvailable download formats
    Dataset updated
    Sep 2, 2025
    Dataset authored and provided by
    Gainesville Police Department
    License

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

    Description

    Disclaimer: Crime Responses is provided by the Gainesville Police Department (GPD) to document initial details surrounding an incident to which GPD officers respond. This dataset contains crime incidents from 2011 to present and includes a reduced set of fields focused on capturing the type of incident as well when and where an incident occurred. The Incident location addresses have been rounded off and are not the exact location due to the constitutional amendment known as "Marsy's Law".

    In 2021, Florida reporting of crime data began a transition from Summary Reporting System (SRS) to National Incident-Based Reporting System (NIBRS), causing an effect on crime statistics reported by Law Enforcement Agencies such as the Gainesville Police Department who made this transition on November 16, 2021. The effect would be an increase in crime due to the elimination of the SRS Hierarchy Rule which collected only the most serious offense in an incident while NIBRS will now capture up to 10 offenses per incident and specifies more offense categories than SRS. The inclusion of these crimes, particularly property crimes, will reflect an increase in crime when switching from SRS reporting to NIBRS' reporting. The apparent increase (usually not greater than 2.7%) is simply due to the difference between how crimes are counted in NIBRS versus the SRS and its application of the Hierarchy Rule. More information regarding NIBRS effect on crime statistics can be found on the following link: https://ucr.fbi.gov/nibrs/2014/resource-pages/effects_of_nibrs_on_crime_statistics_final.pdf.

  15. C

    Hyde Park Crime

    • data.cityofchicago.org
    Updated Sep 9, 2025
    + more versions
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    Chicago Police Department (2025). Hyde Park Crime [Dataset]. https://data.cityofchicago.org/Public-Safety/Hyde-Park-Crime/rbtg-agtc
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    application/geo+json, kmz, xml, csv, kml, xlsxAvailable download formats
    Dataset updated
    Sep 9, 2025
    Authors
    Chicago Police Department
    Area covered
    Hyde Park
    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

  16. d

    CRIME STATISTICS DATA ANALYTICS

    • search.dataone.org
    • borealisdata.ca
    • +1more
    Updated Dec 28, 2023
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    Kwong, Cheryl; Anweiler, Drew; Sarafraz, Mary (2023). CRIME STATISTICS DATA ANALYTICS [Dataset]. http://doi.org/10.5683/SP2/IE6NRY
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Kwong, Cheryl; Anweiler, Drew; Sarafraz, Mary
    Description

    Crime isn't a topic most people want to use mental energy to think about. We want to avoid harm, protect our loved ones, and hold on to what we claim is ours. So how do we remain vigilant without digging too deep into the filth that is crime? Data, of course. The focus of our study is to explore possible trends between crime and communities in the city of Calgary. Our purpose is visualize Calgary criminal behaviour in order to help increase awareness for both citizens and law enforcement. Through the use of our visuals, individuals can make more informed decisions to improve the overall safety of their lives. Some of the main concerns of the study include: how crime rates increase with population, which areas in Calgary have the most crime, and if crime adheres to time-sensative patterns.

  17. Incident-based crime statistics, by detailed violations, police services in...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +3more
    Updated Jul 22, 2025
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    Government of Canada, Statistics Canada (2025). Incident-based crime statistics, by detailed violations, police services in Ontario [Dataset]. http://doi.org/10.25318/3510018001-eng
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    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Ontario, Canada
    Description

    Incident-based crime statistics (actual incidents, rate per 100,000 population, percentage change in rate, unfounded incidents, percent unfounded, total cleared, cleared by charge, cleared otherwise, persons charged, adults charged, youth charged / not charged), by detailed violations (violent, property, traffic, drugs, other Federal Statutes), police services in Ontario, 1998 to 2024.

  18. Crime rate in England and Wales in 2024/25, by police force area

    • statista.com
    Updated Aug 5, 2025
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    Statista (2025). Crime rate in England and Wales in 2024/25, by police force area [Dataset]. https://www.statista.com/statistics/866788/crime-rate-england-and-wales-by-region/
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    Dataset updated
    Aug 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2024 - Mar 31, 2025
    Area covered
    Wales, England
    Description

    With approximately 122.1 crimes per 1,000 population, Cleveland, in North East England, had the highest crime rate of all the police force areas in England and Wales in 2024/25. High crime rates are evident in other areas of northern England, such as West Yorkshire and Greater Manchester at 114.5 and 108.2, respectively. In the UK capital, London, the crime rate was 105.5 per 1,000 people. The lowest crime rate in England was in the relatively rural areas of Wiltshire in South West England, as well as North Yorkshire. Overall crime in England and Wales The number of crimes in England and Wales reached approximately 6.74 million in 2022/23, falling slightly to 6.66 million in 2023/24, and 6.59 million in 2024/25. Overall crime has been rising steadily across England and Wales for almost a decade, even when adjusted for population rises. In 2022/23, for example, the crime rate in England and Wales was 93.6, the highest since 2006/07. When compared with the rest of the United Kingdom, England and Wales is something of an outlier, as crime rates for Scotland and Northern Ireland have not followed the same trajectory of rising crime. Additionally, there has been a sharp increase in violent crimes and sexual offences since the mid-2010s in England and Wales. While theft offences have generally been falling, the number of shoplifting offences reached a peak of 530,640 in 2024/25. Troubled justice system under pressure Alongside rising crime figures, many indicators also signal that the justice system is getting pushed to breaking point. The percentage of crimes that are solved in England and Wales was just 5.7 percent in 2023, with sexual offences having a clearance rate of just 3.6 percent. Crimes are also taking far longer than usual to pass through the justice system. In 2022, it took an average of 407 days for a crown court case to reach a conclusion from the time of the offence, compared with 233 days in 2018. This is most likely related to the large backlog of cases in crown courts, which reached over 67,750 in 2023. Furthermore, prisons in England and Wales are dangerously overcrowded, with the government even releasing some prisoners early to address the issue.

  19. l

    test web map

    • visionzero.geohub.lacity.org
    Updated Apr 8, 2013
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    madeleine_shehadeh (2013). test web map [Dataset]. https://visionzero.geohub.lacity.org/maps/28126acef13548f7a71504d54e10e5b8
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    Dataset updated
    Apr 8, 2013
    Dataset authored and provided by
    madeleine_shehadeh
    Area covered
    Description

    This map is a modified version of the "Crime Rates" map by Jim Herries. You can read about his map here.This is a map of comparative crime rates across the United States at various levels of detail. The crime index compares the average local crime level to that of the United States as a whole. An index value 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. This data is for the year 2010. 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. The Census tracts and block groups help identify neighborhood-level variation in the crime data.

  20. a

    Community Crime Map -- LexisNexis

    • city-of-vancouver-wa-geo-hub-cityofvancouver.hub.arcgis.com
    • city-of-vancouver-strategic-plan-dashboard-cityofvancouver.hub.arcgis.com
    • +1more
    Updated May 2, 2024
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    Vancouver Online Maps (2024). Community Crime Map -- LexisNexis [Dataset]. https://city-of-vancouver-wa-geo-hub-cityofvancouver.hub.arcgis.com/documents/10bdff4ffbb44f2c96dda764160cd04a
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    Dataset updated
    May 2, 2024
    Dataset authored and provided by
    Vancouver Online Maps
    License

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

    Description

    The URL provided here links to the LexisNexis Community Crime Map viewer. This is an external website not produced by the City of Vancouver; crime data is submitted by the Vancouver Police Department and other local area law enforcement agencies and is meant for public information.NOTE: This product and the information shown is provided "AS IS" and exists for informational purposes only. The City of Vancouver (COV) makes no warranties regarding the accuracy of such data. This product and information is not prepared, nor is suitable, for legal, engineering, or surveying purposes. Any sale, reproduction or distribution of this information, or products derived therefrom, in any format is expressly prohibited. Data are provided by multiple sources and subject to change without notice.

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City of Detroit (2024). RMS Crime Incidents [Dataset]. https://data.detroitmi.gov/maps/rms-crime-incidents

RMS Crime Incidents

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20 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 31, 2024
Dataset authored and provided by
City of Detroit
Area covered
Description

The RMS Crime Incidents dataset consists of crime reports from the Detroit Police Department Records Management System (RMS). This data reflects reported criminal offenses that have occurred in the City of Detroit. Incident-based offense data is extracted from the Detroit Police Department's records management system hourly. This data set contains the most recent data available and is updated anytime DPD sends official crime records contributing to the Michigan Incident Crime Reporting (MICR) or the National Incident Based Reporting systems (reflected by the IBR Date field). It should be noted that some incidents involve the commission of multiple offenses, such as a domestic assault where property was also vandalized. In such cases, there is a row in the dataset for each offense, and the related offenses share a common Crime ID and Report Number.

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