63 datasets found
  1. Burglary rate globally 2022, by country

    • statista.com
    Updated Feb 15, 2019
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    Statista (2019). Burglary rate globally 2022, by country [Dataset]. https://www.statista.com/statistics/1238258/burglary-rate-country/
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    Dataset updated
    Feb 15, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    In 2022, Costa Rica had the highest burglary rate worldwide, with ***** occurrences per 100,000 inhabitants. Other countries with the highest burglary rate were Sweden, Luxembourg and Dominica.

  2. Property crime tables, England and Wales

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jan 23, 2025
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    Office for National Statistics (2025). Property crime tables, England and Wales [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/focusonpropertycrimeappendixtables
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    xlsxAvailable download formats
    Dataset updated
    Jan 23, 2025
    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

    Annual data from the Crime Survey for England and Wales (CSEW) and metal theft offences recorded by the police, including demographic and offence type breakdowns and time series data.

  3. Crime in England and Wales: Police Force Area data tables

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Oct 23, 2025
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    Office for National Statistics (2025). Crime in England and Wales: Police Force Area data tables [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/policeforceareadatatables
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    xlsxAvailable download formats
    Dataset updated
    Oct 23, 2025
    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

    Police recorded crime figures by Police Force Area and Community Safety Partnership areas (which equate in the majority of instances, to local authorities).

  4. Nature of crime: burglary

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Apr 8, 2025
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    Office for National Statistics (2025). Nature of crime: burglary [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/natureofcrimeburglary
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    xlsxAvailable download formats
    Dataset updated
    Apr 8, 2025
    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

    When incidents happened, information about offenders, the victim’s perception of the incident, and what items were stolen. Annual data from the Crime Survey for England and Wales (CSEW).

  5. Crime outcomes in England and Wales, year to December 2018: data tables

    • gov.uk
    Updated Apr 25, 2019
    + more versions
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    Home Office (2019). Crime outcomes in England and Wales, year to December 2018: data tables [Dataset]. https://www.gov.uk/government/statistics/crime-outcomes-in-england-and-wales-year-to-december-2018-data-tables
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    Dataset updated
    Apr 25, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Area covered
    England, Wales
    Description

    These data tables present statistics for police recorded crime outcomes in England and Wales.

    For the year to December 2018 these data tables show:

    • what outcomes police forces assigned to offences recorded in the year, including the proportion not yet assigned an outcome
    • all crime outcomes that were assigned by police forces during the year, some of which relate to crimes recorded in previous years
    • crimes recorded in the year that were later transferred to another police force or ‘cancelled’, and why

    For further information and commentary on crime outcomes statistics please see ‘Crime outcomes in England and Wales statistics’.

    Detailed police recorded crime and outcomes data and longer term datasets are available in the police recorded crime and outcomes open data tables.

  6. Crime in England and Wales: Appendix tables

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Oct 23, 2025
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    Office for National Statistics (2025). Crime in England and Wales: Appendix tables [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/crimeinenglandandwalesappendixtables
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    xlsxAvailable download formats
    Dataset updated
    Oct 23, 2025
    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

    Trends in Crime Survey for England and Wales (CSEW) crime (accredited official statistics) and Home Office police recorded crime (official statistics) for England and Wales, by offence type. Also includes more detailed data on crime such as violence, fraud and anti-social behaviour.

  7. Criminal Justice System statistics quarterly: December 2018

    • gov.uk
    Updated Sep 13, 2019
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    Ministry of Justice (2019). Criminal Justice System statistics quarterly: December 2018 [Dataset]. https://www.gov.uk/government/statistics/criminal-justice-system-statistics-quarterly-december-2018
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    Dataset updated
    Sep 13, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    The reports present key statistics on activity in the criminal justice system for England and Wales. It provides information for the latest year (2018) with accompanying commentary, analysis and presentation of longer term trends.

    An interactive Sankey diagram (a type of flow diagram, in which the width of the arrows is shown proportionally to the number each represents) presenting information on offending histories accompanies this bulletin.

    https://moj-analytical-services.github.io/criminal_history_sankey/index.html">Offending histories

    Pre-release access

    The bulletin is produced and handled by the ministry’s analytical professionals and production staff. Pre-release access of up to 24 hours is granted to the following persons:

    Ministry of Justice

    Lord Chancellor and Secretary of State for Justice; Minister of State for Prisons and Probation; Parliamentary Under Secretary of State - Courts and Legal Aid; Parliamentary Under Secretary of State and Minister for Victims, Youth and Family Justice; Lords spokesperson – Ministry of Justice; Permanent Secretary; Principal Private Secretary; Deputy Principal Private Secretary; Private Secretary x5; Deputy Private Secretary; Assistant Private Secretary x3; 2 Special Advisers; 2 Press Officers; Director General, Policy, Communications & Analysis Group; Director, Data & Analytical Services Directorate; Chief Statistician; Director, Family and Criminal Justice Policy; Deputy Director, Bail, Sentencing and Release Policy; Section Head, Criminal Court Policy; Director, Offender and Youth Justice Policy; Section Head, Custodial Sentencing Policy; Head of Courts and Sentencing, Youth Justice Policy; Deputy Director - Crime; Crime Service Manager (Case Progression) - Courts and Tribunals Development; Head of Operational Performance; Deputy Director, Legal Operations - Courts & Tribunals Development Directorate; Policy Adviser x5; Statistician; Data Analyst x2.

    Home Office

    Home Secretary; Private Secretary to the Home Secretary; Deputy Principal Private Secretary to the Home Secretary; Assistant Private Secretary to the HO Permanent Secretary; Permanent Secretary, Home Office; Minister of State for Policing and the Fire Service; Assistant Private Secretary Minister of State for Policing and the Fire Service; Director of Crime, Home Office; Head of Crime and Policing Statistics, Home Office; Statistician - Recorded crime statistics.

    The Judiciary

    Lord Chief Justice; Head of the Criminal Justice Team.

    Cabinet Office

    Principal Analyst, Justice.

    Department for Education (pre-release access limited to supplementary paper on Prolific Offenders):

    Secretary of State for Education (and Private Secretary); Parliamentary Under Secretary of State for Children and Families (and Private Secretary); Minister of State for School Standards (and Private Secretary); Special Advisers; Deputy Director, Data Group and Deputy Head of Profession for Statistics; Policy Official x9; Analyst x8; Press Officer x2.

  8. Historical crime data

    • gov.uk
    Updated Apr 21, 2016
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    Home Office (2016). Historical crime data [Dataset]. https://www.gov.uk/government/statistics/historical-crime-data
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    Dataset updated
    Apr 21, 2016
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    Important information: detailed data on crimes recorded by the police from April 2002 onwards are published in the police recorded crime open data tables. As such, from July 2016 data on crimes recorded by the police from April 2002 onwards are no longer published on this webpage. This is because the data is available in the police recorded crime open data tables which provide a more detailed breakdown of crime figures by police force area, offence code and financial year quarter. Data for Community Safety Partnerships are also available.

    The open data tables are updated every three months to incorporate any changes such as reclassifications or crimes being cancelled or transferred to another police force, which means that they are more up-to-date than the tables published on this webpage which are updated once per year. Additionally, the open data tables are in a format designed to be user-friendly and enable analysis.

    If you have any concerns about the way these data are presented please contact us by emailing CrimeandPoliceStats@homeoffice.gov.uk. Alternatively, please write to

    Home Office Crime and Policing Analysis
    1st Floor, Peel Building
    2 Marsham Street
    London
    SW1P 4DF

  9. a

    Crime Data 2018 - Part 1 Offenses (With Lat & Long Info)

    • hub.arcgis.com
    Updated Feb 3, 2023
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    admin_syr (2023). Crime Data 2018 - Part 1 Offenses (With Lat & Long Info) [Dataset]. https://hub.arcgis.com/maps/00ea3cbd266f46d5aa013cf3c61bf2f9_0/about
    Explore at:
    Dataset updated
    Feb 3, 2023
    Dataset authored and provided by
    admin_syr
    License

    https://data.syr.gov/pages/termsofusehttps://data.syr.gov/pages/termsofuse

    Area covered
    Description

    This 2018 rime data is the list of crimes that the Syracuse Police Department responded to in 2018. 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.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

  10. d

    Crime Incidents in 2018

    • opendata.dc.gov
    • catalog.data.gov
    • +4more
    Updated Jan 1, 2018
    + more versions
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    City of Washington, DC (2018). Crime Incidents in 2018 [Dataset]. https://opendata.dc.gov/datasets/crime-incidents-in-2018
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    Dataset updated
    Jan 1, 2018
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.

  11. a

    Weekly Part 2 Crime Offenses 2018

    • data-syr.opendata.arcgis.com
    • data.syr.gov
    • +1more
    Updated Apr 10, 2018
    + more versions
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    admin_syr (2018). Weekly Part 2 Crime Offenses 2018 [Dataset]. https://data-syr.opendata.arcgis.com/datasets/01741069abbb4792aea378fe6f35d09b
    Explore at:
    Dataset updated
    Apr 10, 2018
    Dataset authored and provided by
    admin_syr
    Description

    This crime data is updated weekly. 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, robbery, aggravated assault, burglary, larceny-theft, and motor vehicle theft. Part 2 crimes include all other offenses. A more detailed guide to Part 1 and Part 2 crimes is availablehere. 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.

  12. Incident-based crime statistics, by detailed violations, Canada, provinces,...

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Jul 22, 2025
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    Government of Canada, Statistics Canada (2025). Incident-based crime statistics, by detailed violations, Canada, provinces, territories, Census Metropolitan Areas and Canadian Forces Military Police [Dataset]. http://doi.org/10.25318/3510017701-eng
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    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    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), Canada, provinces, territories, Census Metropolitan Areas and Canadian Forces Military Police, 1998 to 2024.

  13. Chicago Crimes, 2001-2018

    • icpsr.umich.edu
    delimited
    Updated Mar 4, 2019
    + more versions
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    Chicago (Ill.). Police Department (2019). Chicago Crimes, 2001-2018 [Dataset]. http://doi.org/10.3886/ICPSR37256.v1
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    delimitedAvailable download formats
    Dataset updated
    Mar 4, 2019
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Chicago (Ill.). Police Department
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/37256/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37256/terms

    Time period covered
    2001 - 2018
    Area covered
    United States, Chicago, Illinois
    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 November 29, 2018. Data are extracted from the Chicago Police Department's Citizen Law Enforcement Analysis and Reporting (CLEAR) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Users with questions about this dataset may contact the Research and Development Division of the Chicago Police Department at PSITAdministration@ChicagoPolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use.

  14. Police-recorded offences by offence category

    • ec.europa.eu
    Updated Aug 12, 2025
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    Eurostat (2025). Police-recorded offences by offence category [Dataset]. http://doi.org/10.2908/CRIM_OFF_CAT
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    application/vnd.sdmx.data+csv;version=1.0.0, tsv, json, application/vnd.sdmx.data+csv;version=2.0.0, application/vnd.sdmx.genericdata+xml;version=2.1, application/vnd.sdmx.data+xml;version=3.0.0Available download formats
    Dataset updated
    Aug 12, 2025
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Time period covered
    2008 - 2023
    Area covered
    England and Wales, Luxembourg, Slovakia, France, Switzerland, Scotland (NUTS 2021), Slovenia, Montenegro, Poland, Bulgaria
    Description

    Since 2014, Eurostat and the UNODC have launched a joint annual data collection on crime and criminal justice statistics, using the UN crime trends questionnaire and complementary Eurostat requests

    for specific areas of interest to the European Commission. The data and metadata are collected from National Statistical Institutes or other relevant authorities (mainly police and justice departments) in each EU Member State, EFTA country and EU potential members. On the Eurostat website, data are available for 41 jurisdictions since 2008 until 2018 data and for 38 jurisdictions since 2019 data (EU-27, Iceland, Liechtenstein, Norway, Bosnia and Herzegovina, Montenegro, North Macedonia, Albania, Serbia, Turkey, Kosovo(1)), having drop the data for the United Kingdom separately owing to three separate jurisdictions England and Wales, Scotland, Northern Ireland.

    This joint data collection and other data collections carried out by Eurostat allows to gather information on:

    • police-recorded offences by type of crime
    • police-recorded offences by NUTS3 region
    • intentional homicide and sexual violence victims and perpetrators (suspected, prosecuted, convicted) by sex
    • intentional homicide victims by age, sex, and relationship to the offender
    • intentional homicide victims and offences in largest cities
    • offenders by justice legal status (suspected, prosecuted, convicted), age, sex, and citizenship
    • persons brought before criminal courts by legal status (convicted persons/acquitted)
    • personnel by institution (police, courts, and prisons) by sex
    • legal cases in first instance courts by type and stage
    • prisoners by age, sex, citizenship, and status of the trial process
    • prison capacity and occupancy
    • people involved in human trafficking by legal status (victims, suspected and convicted traffickers) and victims of human trafficking by all forms of exploitation and citizenship

    Where available, data are broken down by sex, age groups (adults/juveniles), country of citizenship (foreigners or nationals) and other relevant variables. National data are available and for intentional homicide offences, city level data (largest cities) are available for some countries. Regional data at NUTS3 level are also available for some police-recorded offences.

    Some historical series are available:

    • Number of police-recorded crimes by type (intentional homicide, violence, robbery, home burglary, car thefts, and drug crimes) for the period 1993 – 2007
    • Number of police-recorded homicide in cities for the period 1993 – 2007
    • Number of police officers for the period 1993 – 2007
    • Prison population for the period 1993 – 2007

    Total number of police-recorded crimes for the period 1950 – 2000

    (1) under United Nations Security Council Resolution 1244/99

  15. Hate crime, England and Wales, 2017 to 2018

    • gov.uk
    Updated Oct 16, 2018
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    Home Office (2018). Hate crime, England and Wales, 2017 to 2018 [Dataset]. https://www.gov.uk/government/statistics/hate-crime-england-and-wales-2017-to-2018
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    Dataset updated
    Oct 16, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Area covered
    England, Wales
    Description

    Home Office statisticians are committed to regularly reviewing the usefulness, clarity and accessibility of the statistics that we publish under the Code of Practice for Statistics.

    We are therefore seeking your feedback as we look to improve the presentation and dissemination of our statistics and data in order to support all types of users.

    We would be extremely grateful if you could fill out https://www.homeofficesurveys.homeoffice.gov.uk/s/DN7OZ/">our survey to tell us how you think we can improve our statistical publications – it will only take a couple of minutes to complete.

    This publication provides information on the number of hate crimes from police recorded data in England and Wales from April 2017 to March 2018. The bulletin covers the extent and trends in hate crime for all forces, with additional analysis based upon more detailed data supplied by 24 police forces on the types of offences associated with hate crime.

    Hate crime is defined as ‘any criminal offence which is perceived, by the victim or any other person, to be motivated by hostility or prejudice towards someone based on a personal characteristic.’ There are five centrally monitored strands of hate crime:

    • race or ethnicity
    • religion or beliefs
    • sexual orientation
    • disability
    • transgender identity

    The publication includes information on racist incidents in England and Wales recorded by the police from April 2017 to March 2018. A ‘racist incident’ is any incident, including any crime, which is perceived by the victim or any other person to be motivated by a hostility or prejudice based on a person’s race or perceived race.

  16. Domestic abuse: findings from the Crime Survey for England and Wales -...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Nov 22, 2018
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    Office for National Statistics (2018). Domestic abuse: findings from the Crime Survey for England and Wales - Appendix tables [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/domesticabusefindingsfromthecrimesurveyforenglandandwalesappendixtables
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Nov 22, 2018
    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

    Domestic abuse numbers, prevalence, types and attitudes experienced by women and men aged between 16 and 59 years and 60 to 74 years, based upon annual findings from the Crime Survey for England and Wales.

  17. Households victim of crime against their main residences in France 2018, by...

    • statista.com
    Updated Dec 15, 2019
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    Statista (2019). Households victim of crime against their main residences in France 2018, by type [Dataset]. https://www.statista.com/statistics/1227537/home-and-residence-crimes-by-type-france/
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    Dataset updated
    Dec 15, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    France
    Description

    In 2018, there were 580 thousand households that were victim of acts of vandalism against their principal residences. Burglaries and attempted burglaries affected 490 thousand households that year, while theft without breaking and entering affected 251 thousand households.

  18. d

    RMS Crime Incidents

    • data.detroitmi.gov
    • detroitdata.org
    • +4more
    Updated Jul 31, 2024
    + more versions
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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 criminal offenses reported in the City of Detroit that DPD was involved in from December 2016 to present. Note that records are included in the dataset based on when an incident is reported which could result in an occurrence date before December 2016. Incident data is typically entered into mobile devices by the officer in the field when responding to an incident. Incidents that occurred in Detroit but in a location that is under the jurisdiction of the Michigan State Police (MSP) or Wayne State University Police Department (WSUPD), such as on an expressway, Belle Isle, or around Wayne State University, are included only if the incident is handled by DPD. Such records are reviewed in a monthly audit to ensure that the incidents are counted by one and only one agency (MSP or DPD). This data is updated daily. For each crime incident, one or more offense charges are recorded, and each row in the dataset corresponds with one of these charges. An example could be a domestic assault where property was also vandalized. Offense charges that occurred at the same crime incident share a common incident number. For each offense charge record (rows)details include when and where the incident occurred, the nature of the offense, DPD precinct or detail, and the case investigation status. Locations of incidents associated with each call are reported based on the nearest intersection to protect the privacy of individuals.RMS Crime Incident data complies with Michigan Incident Crime Reporting (MICR) standards. More information about MICR standards is available via the MICR Website. The Manual and Arrest Charge Code Card may be especially helpful. There may be small differences between RMS Crime Incident data shared here and data shared through MICR given data presented here is updated here more frequently which results in a difference in a cadence of status updates. Additionally, this dataset includes crime incidents that following an investigation are coded with a case status of ‘Unfounded’. In most cases, this means that the incident occurred outside the jurisdiction of DPD or otherwise was reported in error. The State of Michigan, through the MICR program, reports data to the National Incident-Based Reporting System (NIBRS).Yearly Datasets for RMS Crime Incidents have been added to the ODP. This is to improve the user's experience in handling the large file size of the records in the comprehensive dataset. You may download each year separately, which significantly reduces the size and records for each file. In addition to the past years, we have also included a year-to-date dataset. This captures all RMS Crime Incidents from January 1, 2025, to present.Should you have questions about this dataset, you may contact the Commanding Officer of the Detroit Police Department's Crime Data Analytics at 313-596-2250 or CrimeIntelligenceBureau@detroitmi.gov.

  19. Number of female domestic violence crimes in Romania 2018-2023

    • statista.com
    Updated Apr 16, 2024
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    Statista (2024). Number of female domestic violence crimes in Romania 2018-2023 [Dataset]. https://www.statista.com/statistics/1491043/domestic-violence-crimes-in-romania/
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    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Romania
    Description

    Romania holds the lowest Gender Equality Index among EU member states in 2023, a position mirrored by alarming domestic violence statistics. In 2023 alone, there were 40,956 female victims of domestic violence. Since 2018, such crimes have consistently risen, with a notable 4.79% increase from 2022 to 2023.

  20. Crime in England and Wales: Bulletin Tables

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Oct 19, 2017
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    Office for National Statistics (2017). Crime in England and Wales: Bulletin Tables [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/datasets/crimeinenglandandwalesbulletintables
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    xlsAvailable download formats
    Dataset updated
    Oct 19, 2017
    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

    Data tables and figures from the statistical bulletin in excel format. The data contained in these tables are from four sources: Crime Survey for England and Wales, Home Office police recorded crime, the National Fraud Intelligence Bureau and the Ministry of Justice Criminal Justice Statistics Quarterly Update.

    Please note: The methodology by which the CSEW calculates its incidents of crime changed in December 2018. Incident numbers and rates published in the Bulletin Tables prior to the year ending September 2018 dataset are not comparable with those currently published.

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Statista (2019). Burglary rate globally 2022, by country [Dataset]. https://www.statista.com/statistics/1238258/burglary-rate-country/
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Burglary rate globally 2022, by country

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 15, 2019
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
Worldwide
Description

In 2022, Costa Rica had the highest burglary rate worldwide, with ***** occurrences per 100,000 inhabitants. Other countries with the highest burglary rate were Sweden, Luxembourg and Dominica.

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