100+ datasets found
  1. C

    OPD Crimes

    • data.cityoforlando.net
    application/rdfxml +5
    Updated Feb 23, 2022
    + more versions
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    (2022). OPD Crimes [Dataset]. https://data.cityoforlando.net/Orlando-Police/OPD-Crimes/4y9m-jbmz
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    csv, application/rdfxml, xml, tsv, json, application/rssxmlAvailable download formats
    Dataset updated
    Feb 23, 2022
    Description

    Incident data is now hosted at https://orlandofl-transparency.connect.socrata.com/

    The Orlando Police Department's new data portal, Citizen Connect, allows anyone to research our calls for service and track certain data, while obtaining immediate results. This information is updated daily and can be filtered by date, location, and incident type. Data is available for a three-year time period.

  2. O

    CrimeWatch Maps Past 90-Days

    • data.oaklandca.gov
    application/rdfxml +4
    Updated Nov 4, 2024
    + more versions
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    Oakland Police Department (2024). CrimeWatch Maps Past 90-Days [Dataset]. https://data.oaklandca.gov/Public-Safety/CrimeWatch-Maps-Past-90-Days/ym6k-rx7a
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    tsv, csv, xml, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Nov 4, 2024
    Dataset authored and provided by
    Oakland Police Department
    Description

    The Oakland Police Department provides crime data to the public through the City of Oakland's Crime Watch web site. This site presents the data in a geographic format, which allows users of the information to produce maps and/or reports.

    The file that you are about to electronically download, copy, or otherwise retrieve by other means is a tabular representation of the same data without maps or reporting capabilities. Be advised that the exact address of each crime has been substituted with the block address to protect the privacy of the victim.

    Please note: This Crime data are captured from reports filed with the police Department. There may be delays in data due to data processing, incident reporting or maybe technical in nature. Please allow up to 90 days from the end of each month for the data to be completely processed. For example, if you want to retrieve the full data set for the month of March, you will need to generate your report on or after June 30th. (A full 90 days after March 31st)

  3. w

    Police Incidents

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +5more
    csv, json, zip
    Updated Feb 10, 2017
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    Town of Cary, North Carolina (2017). Police Incidents [Dataset]. https://data.wu.ac.at/odso/data_gov/ZGIzOWViMTItMzUzZC00MzQ2LTk5N2MtYjMyMTQ2ZWNmOTdm
    Explore at:
    json, csv, zipAvailable download formats
    Dataset updated
    Feb 10, 2017
    Dataset provided by
    Town of Cary, North Carolina
    Description

    Explore Crime and Safety data from the Cary Police Department.

    This data is extracted by the Town of Cary's Police Department's RMS application.

    The police incidents will provide data on the Part I crimes of arson, motor vehicle thefts, larcenies, burglaries, aggravated assaults, robberies and homicides. Sexual assaults and crimes involving juveniles will not appear to help protect the identities of victims.

    This dataset includes criminal offenses in the Town of Cary for the previous 10 calendar years plus the current year. The data is based on the National Incident Based Reporting System (NIBRS) which includes all victims of person crimes and all crimes within an incident. The data is dynamic, which allows for additions, deletions and/or modifications at any time, resulting in more accurate information in the database. Due to continuous data entry, the number of records in subsequent extractions are subject to change. Crime data is updated daily however, incidents may be up to three days old before they first appear.

    About Crime Data

    The Cary Police Department strives to make crime data as accurate as possible, but there is no avoiding the introduction of errors into this process, which relies on data furnished by many people and that cannot always be verified. Data on this site are updated daily, adding new incidents and updating existing data with information gathered through the investigative process.

    This dynamic nature of crime data means that content provided here today will probably differ from content provided a week from now. Additional, content provided on this site may differ somewhat from crime statistics published elsewhere by other media outlets, even though they draw from the same database.

    Withheld Data

    In accordance with legal restrictions against identifying sexual assault and child abuse victims and juvenile perpetrators, victims, and witnesses of certain crimes, this site includes the following precautionary measures: (a) Addresses of sexual assaults are not included. (b) Child abuse cases, and other crimes which by their nature involve juveniles, or which the reports indicate involve juveniles as victims, suspects, or witnesses, are not reported at all.

    Certain crimes that are under current investigation may be omitted from the results in avoid comprising the investigative process.

    Incidents five days old or newer may not be included until the internal audit process has been completed.

    This data is updated daily.

  4. O

    Crime Data 15X v2

    • data.oaklandca.gov
    application/rdfxml +5
    Updated Nov 4, 2024
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    Oakland Police Department (2024). Crime Data 15X v2 [Dataset]. https://data.oaklandca.gov/Public-Safety/Crime-Data-15X-v2/vmz9-uktm
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    json, csv, application/rdfxml, tsv, application/rssxml, xmlAvailable download formats
    Dataset updated
    Nov 4, 2024
    Authors
    Oakland Police Department
    Description

    The Oakland Police Department provides crime data to the public through the City of Oakland’s Crime Watch web site. This site presents the data in a geographic format, which allows users of the information to produce maps and/or reports.

    The file that you are about to electronically download, copy, or otherwise retrieve by other means is a tabular representation of the same data without maps or reporting capabilities. Be advised that the exact address of each crime has been substituted with the block address to protect the privacy of the victim.

  5. O

    CrimeWatch Data

    • data.oaklandca.gov
    application/rdfxml +4
    Updated Nov 15, 2024
    + more versions
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    Oakland Police Department (2024). CrimeWatch Data [Dataset]. https://data.oaklandca.gov/Public-Safety/CrimeWatch-Data/ppgh-7dqv
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    csv, application/rssxml, xml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    Oakland Police Department
    Description

    A full dataset of CrimeWatch data.

    The Oakland Police Department provides crime data to the public through the City of Oakland's Crime Watch web site. This site presents the data in a geographic format, which allows users of the information to produce maps and/or reports.

    The file that you are about to electronically download, copy, or otherwise retrieve by other means is a tabular representation of the same data without maps or reporting capabilities. Be advised that the exact address of each crime has been substituted with the block address to protect the privacy of the victim.

    Please note: This Crime data are captured from reports filed with the police Department. There may be delays in data due to data processing, incident reporting or maybe technical in nature. Please allow up to 90 days from the end of each month for the data to be completely processed. For example, if you want to retrieve the full data set for the month of March, you will need to generate your report on or after June 30th. (A full 90 days after March 31st)

  6. Orlando Crimes

    • kaggle.com
    Updated Jun 29, 2019
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    Ian A Dalton (2019). Orlando Crimes [Dataset]. https://www.kaggle.com/idalton/orlando-crimes/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 29, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ian A Dalton
    Area covered
    Orlando
    Description

    Context

    The City of Orlando hosts an Open Data Portal where municipal agencies may share data for public consumption.

    Acknowledgements

    The Orlando Police Department has provided this dataset, derived from their internal records management system.

  7. Crimes - 2001 to Present

    • data.cityofchicago.org
    • datadiscoverystudio.org
    • +3more
    application/rdfxml +5
    Updated Nov 8, 2024
    + more versions
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    Chicago Police Department (2024). Crimes - 2001 to Present [Dataset]. https://data.cityofchicago.org/Public-Safety/Crimes-2001-to-Present/ijzp-q8t2
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    application/rdfxml, json, csv, tsv, application/rssxml, xmlAvailable download formats
    Dataset updated
    Nov 8, 2024
    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 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 Data Fulfillment and Analysis Division of the Chicago Police Department at DFA@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 are updated daily. 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

  8. Prevalence rate of violent crime U.S. 2005-2023, by age

    • statista.com
    Updated Oct 21, 2024
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    Statista (2024). Prevalence rate of violent crime U.S. 2005-2023, by age [Dataset]. https://www.statista.com/statistics/424137/prevalence-rate-of-violent-crime-in-the-us-by-age/
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    Dataset updated
    Oct 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, around 1.45 percent of persons between the ages of 12 and 17 years old in the United States experienced one or more violent victimizations. This was a decrease from the previous year, when 2.03 percent of children in the same age group were the victim of a violent crime.

  9. U.S. - share of serious violent crimes involving youth 1980-2021

    • proxy.parisjc.edu
    • statista.com
    • +1more
    Updated Oct 21, 2024
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    Statista (2024). U.S. - share of serious violent crimes involving youth 1980-2021 [Dataset]. https://proxy.parisjc.edu:8293/statistics/477508/percentage-of-serious-violent-crimes-involving-youth-in-the-us/
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    Dataset updated
    Oct 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2021, around 9.7 percent of serious violent crime cases in the United States involved teenagers, an increase from the previous year, where 7.5 percent of serious violent crimes involved teenagers. The share of serious violent crimes involving children between 12 and 17 years old reached a peak in 1994, at 25.1 percent.

  10. Crimes recorded by police per 100,000 inhabitants Germany 2013-2023

    • statista.com
    Updated Jun 26, 2024
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    Statista (2024). Crimes recorded by police per 100,000 inhabitants Germany 2013-2023 [Dataset]. https://www.statista.com/statistics/1101190/crimes-recorded-by-police-per-100000-inhabitants-germany/
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    Dataset updated
    Jun 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    Since 2016, the number of crimes per 100,000 inhabitants has been on a downward trend and was at its lowest in 2021, although this was likely due to the lockdowns caused by the COVID-19 pandemic. Since then, crime rates have risen again. In 2023, the police recorded roughly 7,000 criminal offenses per 100,000 inhabitants. Youth criminal suspects Since the number of crimes is increasing, so is the number of suspects. Concerningly, the number of juvenile suspects has seen a rather significant increase and is currently at its highest rate since 2016. Suspects who are considered in the juvenile category are aged 14 to 17 years old. In Germany, children under the age of 14 cannot be prosecuted and if they commit a crime, then social services usually step in to try and help. In general, punishments for those convicted are much more lenient as it is often considered that due to their age, they may not have been aware of the repercussions of their actions. For example, regardless of the crime committed, no child under the age of 18 can be tried as an adult. In contrast, in England and Wales, there were around 3,600 people aged between 15 and 20 in prison. Crimes solving rate With a higher crime rate, it is also important to consider how many crimes are solved. Once a crime is solved, the hope is that the victim can get some type of closure and answers, and also that the perpetrator faces justice for the crimes they committed. In 2023, the police solved around 3.47 million crimes in Germany and for the past three years, there has been a substantial increase in the number of crimes solved. Some cases are, of course, easier to solve than others. Crimes of arson and other fire-hazard-related crimes had a comparably low clearance rate at around 46 percent. In contrast, drug-related offenses were much more frequently solved. Even though 2023 saw the lowest clearance rate in 20 years, it was still at 91 percent.

  11. Study of Race, Crime, and Social Policy in Oakland, California, 1976-1982

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Nov 28, 2023
    + more versions
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    National Institute of Justice (2023). Study of Race, Crime, and Social Policy in Oakland, California, 1976-1982 [Dataset]. https://catalog.data.gov/dataset/study-of-race-crime-and-social-policy-in-oakland-california-1976-1982-b8cd2
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    Dataset updated
    Nov 28, 2023
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    California, Oakland
    Description

    In 1980, the National Institute of Justice awarded a grant to the Cornell University College of Human Ecology for the establishment of the Center for the Study of Race, Crime, and Social Policy in Oakland, California. This center mounted a long-term research project that sought to explain the wide variation in crime statistics by race and ethnicity. Using information from eight ethnic communities in Oakland, California, representing working- and middle-class Black, White, Chinese, and Hispanic groups, as well as additional data from Oakland's justice systems and local organizations, the center conducted empirical research to describe the criminalization process and to explore the relationship between race and crime. The differences in observed patterns and levels of crime were analyzed in terms of: (1) the abilities of local ethnic communities to contribute to, resist, neutralize, or otherwise affect the criminalization of its members, (2) the impacts of criminal justice policies on ethnic communities and their members, and (3) the cumulative impacts of criminal justice agency decisions on the processing of individuals in the system. Administrative records data were gathered from two sources, the Alameda County Criminal Oriented Records Production System (CORPUS) (Part 1) and the Oakland District Attorney Legal Information System (DALITE) (Part 2). In addition to collecting administrative data, the researchers also surveyed residents (Part 3), police officers (Part 4), and public defenders and district attorneys (Part 5). The eight study areas included a middle- and low-income pair of census tracts for each of the four racial/ethnic groups: white, Black, Hispanic, and Asian. Part 1, Criminal Oriented Records Production System (CORPUS) Data, contains information on offenders' most serious felony and misdemeanor arrests, dispositions, offense codes, bail arrangements, fines, jail terms, and pleas for both current and prior arrests in Alameda County. Demographic variables include age, sex, race, and marital status. Variables in Part 2, District Attorney Legal Information System (DALITE) Data, include current and prior charges, days from offense to charge, disposition, and arrest, plea agreement conditions, final results from both municipal court and superior court, sentence outcomes, date and outcome of arraignment, disposition, and sentence, number and type of enhancements, numbers of convictions, mistrials, acquittals, insanity pleas, and dismissals, and factors that determined the prison term. For Part 3, Oakland Community Crime Survey Data, researchers interviewed 1,930 Oakland residents from eight communities. Information was gathered from community residents on the quality of schools, shopping, and transportation in their neighborhoods, the neighborhood's racial composition, neighborhood problems, such as noise, abandoned buildings, and drugs, level of crime in the neighborhood, chances of being victimized, how respondents would describe certain types of criminals in terms of age, race, education, and work history, community involvement, crime prevention measures, the performance of the police, judges, and attorneys, victimization experiences, and fear of certain types of crimes. Demographic variables include age, sex, race, and family status. For Part 4, Oakland Police Department Survey Data, Oakland County police officers were asked about why they joined the police force, how they perceived their role, aspects of a good and a bad police officer, why they believed crime was down, and how they would describe certain beats in terms of drug availability, crime rates, socioeconomic status, number of juveniles, potential for violence, residential versus commercial, and degree of danger. Officers were also asked about problems particular neighborhoods were experiencing, strategies for reducing crime, difficulties in doing police work well, and work conditions. Demographic variables include age, sex, race, marital status, level of education, and years on the force. In Part 5, Public Defender/District Attorney Survey Data, public defenders and district attorneys were queried regarding which offenses were increasing most rapidly in Oakland, and they were asked to rank certain offenses in terms of seriousness. Respondents were also asked about the public's influence on criminal justice agencies and on the performance of certain criminal justice agencies. Respondents were presented with a list of crimes and asked how typical these offenses were and what factors influenced their decisions about such cases (e.g., intent, motive, evidence, behavior, prior history, injury or loss, substance abuse, emotional trauma). Other variables measured how often and under what circumstances the public defender and client and the public defender and the district attorney agreed on the case, defendant characteristics in terms of who should not be put on the stand, the effects of Proposition 8, public defender and district attorney plea guidelines, attorney discretion, and advantageous and disadvantageous characteristics of a defendant. Demographic variables include age, sex, race, marital status, religion, years of experience, and area of responsibility.

  12. A

    ‘Police Incidents’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 12, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Police Incidents’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-police-incidents-0587/latest
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    Dataset updated
    Feb 12, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Police Incidents’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/3c21a355-8ca1-401e-9ee4-4bec6979341d on 12 February 2022.

    --- Dataset description provided by original source is as follows ---

    Explore Crime and Safety data from the Cary Police Department.

    This data is extracted by the Town of Cary's Police Department's RMS application.

    The police incidents will provide data on the Part I crimes of arson, motor vehicle thefts, larcenies, burglaries, aggravated assaults, robberies and homicides. Sexual assaults and crimes involving juveniles will not appear to help protect the identities of victims.

    This dataset includes criminal offenses in the Town of Cary for the previous 10 calendar years plus the current year. The data is based on the National Incident Based Reporting System (NIBRS) which includes all victims of person crimes and all crimes within an incident. The data is dynamic, which allows for additions, deletions and/or modifications at any time, resulting in more accurate information in the database. Due to continuous data entry, the number of records in subsequent extractions are subject to change. Crime data is updated daily however, incidents may be up to three days old before they first appear.

    About Crime Data

    The Cary Police Department strives to make crime data as accurate as possible, but there is no avoiding the introduction of errors into this process, which relies on data furnished by many people and that cannot always be verified. Data on this site are updated daily, adding new incidents and updating existing data with information gathered through the investigative process.

    This dynamic nature of crime data means that content provided here today will probably differ from content provided a week from now. Additional, content provided on this site may differ somewhat from crime statistics published elsewhere by other media outlets, even though they draw from the same database.

    Withheld Data

    In accordance with legal restrictions against identifying sexual assault and child abuse victims and juvenile perpetrators, victims, and witnesses of certain crimes, this site includes the following precautionary measures: (a) Addresses of sexual assaults are not included. (b) Child abuse cases, and other crimes which by their nature involve juveniles, or which the reports indicate involve juveniles as victims, suspects, or witnesses, are not reported at all.

    Certain crimes that are under current investigation may be omitted from the results in avoid comprising the investigative process.

    Incidents five days old or newer may not be included until the internal audit process has been completed.

    This data is updated daily.

    --- Original source retains full ownership of the source dataset ---

  13. Homicide in the U.S. - number of victims 2023, by age

    • bobcaton.com
    • proxy.parisjc.edu
    • +4more
    Updated Jul 3, 2024
    + more versions
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    Statista Research Department (2024). Homicide in the U.S. - number of victims 2023, by age [Dataset]. https://bobcaton.com/lander/bobcaton.com/?_=%2Ftopics%2F1750%2Fviolent-crime-in-the-us%2F%23fSt%2FoiuCuGCG%2BAk7q0o5ZInIRHy7W4A%3D
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    Dataset updated
    Jul 3, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In 2023, around 2,444 homicide victims in the United States were aged between 20 and 24 years old. A further 2,362 murder victims were between the ages of 30 and 34 years old. Most murder victims in the United States in 2023 were between the ages of 17 and 54 years old.

  14. A

    Crime Reports

    • data.amerigeoss.org
    • data.austintexas.gov
    • +2more
    csv, json, rdf, xml
    Updated Jul 30, 2019
    + more versions
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    United States[old] (2019). Crime Reports [Dataset]. https://data.amerigeoss.org/ar/dataset/crime-reports
    Explore at:
    csv, xml, json, rdfAvailable download formats
    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States[old]
    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

  15. R

    Crime Incidents

    • data.buffalony.gov
    application/rdfxml +4
    Updated Nov 13, 2024
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    Buffalo Police Department (2024). Crime Incidents [Dataset]. https://data.buffalony.gov/Public-Safety/Crime-Incidents/d6g9-xbgu
    Explore at:
    csv, application/rdfxml, application/rssxml, tsv, xmlAvailable download formats
    Dataset updated
    Nov 13, 2024
    Dataset authored and provided by
    Buffalo Police Department
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    This is a dataset of crime incidents in the City of Buffalo. This dataset is updated daily and offers a preliminary look at crime reports in the City of Buffalo. See disclaimer in metadata below for further information.

  16. Number of violent crime victims U.S. 2005-2022, by age

    • statista.com
    • bobcaton.com
    • +1more
    Updated Jul 5, 2024
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    Statista (2024). Number of violent crime victims U.S. 2005-2022, by age [Dataset]. https://www.statista.com/statistics/424130/us-violent-crime-victims-by-age/
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, around 443,990 persons ages 12 to 17 years old in the United States were victims of at least one violent crime. This was a significant increase from the previous year when there were only 193,960 children in the same age group who were the victim of a violent crime.

  17. w

    Police recorded crime and outcomes open data tables

    • gov.uk
    • s3.amazonaws.com
    Updated Oct 24, 2024
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    Home Office (2024). Police recorded crime and outcomes open data tables [Dataset]. https://www.gov.uk/government/statistics/police-recorded-crime-open-data-tables
    Explore at:
    Dataset updated
    Oct 24, 2024
    Dataset provided by
    GOV.UK
    Authors
    Home Office
    Description

    The data tables contain figures 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.

  18. C

    Suspects up to 25 years old; crime group, residential area

    • ckan.mobidatalab.eu
    Updated Jul 13, 2023
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    OverheidNl (2023). Suspects up to 25 years old; crime group, residential area [Dataset]. https://ckan.mobidatalab.eu/dataset/5107-verdachten-tot-25-jaar-delictgroep-woonregio
    Explore at:
    http://publications.europa.eu/resource/authority/file-type/json, http://publications.europa.eu/resource/authority/file-type/atomAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    OverheidNl
    License

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

    Description

    The table contains data on young people up to the age of 25 who are registered or arrested as suspects of a crime, broken down by offense group and region of residence. The table shows the number of crime suspects in absolute and relative figures. The relative figure is calculated per 10 000 persons of the selected population group. Personal data of persons who are not listed in the Municipal Personal Records Database (BRP) are often missing. These persons are included in the absolute figures, but not in the relative ones. Because the number of suspects is presented per type of crime per reporting year, the numbers of suspects per type of crime together add up to more than the total number of unique suspects. A person who has been registered or arrested more than once within a reporting year is counted only once in the total number of suspects. In addition, he is counted once in the relevant main group of offenses for each offense he is suspected of. Example: a suspect of 10 burglaries and 2 violent crimes is counted 1 time in Total Suspects, 1 time in Property Crimes and 1 time in Violent Crimes. In order to show how young people in the Netherlands are doing, the National Youth Monitor describes more than 70 topics in addition to this topic. The subjects are called indicators. Data on arrested suspects are available from 2000. Regional data on registered suspects are available from 2010 and for the Netherlands in total from 2005. Status of the figures: For registered suspects, the figures up to and including 2020 are final, for 2021 and for 2021 provisional. Preliminary figures underestimate the final number of suspects. The provisional number of suspects in the most recent year is a few percent lower than the final number. The figures for arrested suspects are final up to and including 2014; more current figures are no longer available. Changes as of March 31, 2023: Figures on the number of registered suspects for the year 2022 have been added. The figures on the number of registered suspects for the years 2020 and 2021 have been adjusted due to additional information. When will new numbers come out? New figures on registered suspects will become available in the first quarter of 2024. More up-to-date figures on arrested suspects will no longer be available.

  19. C

    Detained suspects up to 25 years old; type of crime, characteristics,...

    • ckan.mobidatalab.eu
    Updated Jul 13, 2023
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    OverheidNl (2023). Detained suspects up to 25 years old; type of crime, characteristics, 2000-2013 [Dataset]. https://ckan.mobidatalab.eu/dataset/5199-aangehouden-verdachten-tot-25-jaar-soort-misdrijf-kenmerken-2000-2013
    Explore at:
    http://publications.europa.eu/resource/authority/file-type/atom, http://publications.europa.eu/resource/authority/file-type/jsonAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    OverheidNl
    License

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

    Description

    This table contains data on arrested suspects (aged 12 to 25) of crimes, broken down by type of crime, gender, age and ethnic group. This table shows the number of crime suspects per population group as the number of crime suspects per 10,000 persons of the selected population group. Personal data of persons who are not listed in the Municipal Personal Records Database (GBA) are often missing. These persons are included in the absolute figures, but not in the relative ones. Because the number of unique suspects per type of crime is presented per reporting year, the numbers of suspects per type of crime together add up to more than the total number of unique suspects. A person who has been registered or arrested more than once within a reporting year is counted only once in the total number of suspects. In addition, he is counted once for each crime he is suspected of in the relevant main group of crimes. Example: a suspect of 10 burglaries and 2 violent crimes is counted 1 time in Total Suspects, 1 time in Property Crimes and 1 time in Violent Crimes. In order to show how young people in the Netherlands are doing, the National Youth Monitor describes more than 70 topics in addition to this topic. The subjects are called indicators. Data on arrested suspects are available from 2000 to 2013. Status of the figures: The figures up to and including 2012 are final. The figures for 2013 are provisional. The source material is updated annually with new or improved data. Changes as of October 27, 2016: None, the table has been discontinued. When will new numbers come out? This table has been discontinued.

  20. O

    Legacy Baton Rouge Police Crime Incidents

    • data.brla.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Jan 9, 2021
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    Baton Rouge Police Department (2021). Legacy Baton Rouge Police Crime Incidents [Dataset]. https://data.brla.gov/Public-Safety/Legacy-Baton-Rouge-Police-Crime-Incidents/fabb-cnnu
    Explore at:
    csv, application/rdfxml, xml, tsv, application/rssxml, jsonAvailable download formats
    Dataset updated
    Jan 9, 2021
    Dataset authored and provided by
    Baton Rouge Police Department
    License

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

    Area covered
    Baton Rouge
    Description

    ***On January 1, 2021, the Baton Rouge Police Department switched to a new reporting system. This dataset contains data starting on 1/1/2011 through 12/31/2020. For data from 1/1/2021 onward, please visit: https://data.brla.gov/Public-Safety/Baton-Rouge-Police-Crime-Incidents/pbin-pcm7

    Crimes reported in Baton Rouge and handled by the Baton Rouge Police Department. Crimes include Burglaries (Vehicle, Residential and Non-residential), Robberies (Individual and Business), Theft, Narcotics, Vice Crimes, Assault, Nuisance, Battery, Firearm, Homicides, Criminal Damage to Property, Sexual Assaults and Juvenile. In order to protect the privacy of sexual assault victims and juvenile victims, these incidents are not geocoded and will not be mapped.

    Please see the disclaimer in the Attachments section of the About page.

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(2022). OPD Crimes [Dataset]. https://data.cityoforlando.net/Orlando-Police/OPD-Crimes/4y9m-jbmz

OPD Crimes

Explore at:
csv, application/rdfxml, xml, tsv, json, application/rssxmlAvailable download formats
Dataset updated
Feb 23, 2022
Description

Incident data is now hosted at https://orlandofl-transparency.connect.socrata.com/

The Orlando Police Department's new data portal, Citizen Connect, allows anyone to research our calls for service and track certain data, while obtaining immediate results. This information is updated daily and can be filtered by date, location, and incident type. Data is available for a three-year time period.

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