10 datasets found
  1. Most dangerous cities in the U.S. 2023, by violent crime rate

    • statista.com
    Updated Dec 12, 2024
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    Statista (2024). Most dangerous cities in the U.S. 2023, by violent crime rate [Dataset]. https://www.statista.com/statistics/217685/most-dangerous-cities-in-north-america-by-crime-rate/
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    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

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

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

    • icpsr.umich.edu
    • catalog.data.gov
    ascii, sas, spss +1
    Updated Mar 30, 2006
    + more versions
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    Street, Lloyd (2006). Study of Race, Crime, and Social Policy in Oakland, California, 1976-1982 [Dataset]. http://doi.org/10.3886/ICPSR09961.v1
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    sas, spss, ascii, stataAvailable download formats
    Dataset updated
    Mar 30, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Street, Lloyd
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/9961/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/9961/terms

    Time period covered
    1976 - 1982
    Area covered
    Oakland, United States, California
    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 cert

  3. d

    Data from: Modern Policing and the Control of Illegal Drugs: Testing New...

    • datasets.ai
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +3more
    0
    + more versions
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    Department of Justice, Modern Policing and the Control of Illegal Drugs: Testing New Strategies in Oakland, California, and Birmingham, Alabama, 1987-1989 [Dataset]. https://datasets.ai/datasets/modern-policing-and-the-control-of-illegal-drugs-testing-new-strategies-in-oakland-ca-1987-89e5a
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    0Available download formats
    Dataset authored and provided by
    Department of Justice
    Area covered
    Oakland, Birmingham, California, Alabama
    Description

    These data were collected in Oakland, California, and Birmingham, Alabama, to examine the effectiveness of alternative drug enforcement strategies. A further objective was to compare the relative effectiveness of strategies drawn from professional- versus community-oriented models of policing. The professional model emphasizes police responsibility for crime control, whereas the community model stresses the importance of a police-citizen partnership in crime control. At each site, experimental treatments were applied to selected police beats. The Oakland Police Department implemented a high-visibility enforcement effort consisting of undercover buy-bust operations, aggressive patrols, and motor vehicle stops, while the Birmingham Police Department engaged in somewhat less visible buy-busts and sting operations. Both departments attempted a community-oriented approach involving door-to-door contacts with residents. In Oakland, four beats were studied: one beat used a special drug enforcement unit, another used a door-to-door community policing strategy, a third used a combination of these approaches, and the fourth beat served as a control group. In Birmingham, three beats were chosen: Drug enforcement was conducted by the narcotics unit in one beat, door-to-door policing, as in Oakland, was used in another beat, and a police substation was established in the third beat. To evaluate the effectiveness of these alternative strategies, data were collected from three sources. First, a panel survey was administered in two waves on a pre-test/post-test basis. The panel survey data addressed the ways in which citizens' perceptions of drug activity, crime problems, neighborhood safety, and police service were affected by the various policing strategies. Second, structured observations of police and citizen encounters were made in Oakland during the periods the treatments were in effect. Observers trained by the researchers recorded information regarding the roles and behaviors of police and citizens as well as police compliance with the experiment's procedures. And third, to assess the impact of the alternative strategies on crime rates, reported crime data were collected for time periods before and during the experimental treatment periods, both in the targeted beats and city-wide.

  4. Homicides

    • data.oaklandca.gov
    csv, xlsx, xml
    Updated Jul 13, 2018
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    Homicide data from Oakland Police Department by request, 2017. Population data from American Community Survey, 1-year estimates, 2016. (2018). Homicides [Dataset]. https://data.oaklandca.gov/Equity-Indicators/Homicides/xhqt-fgx8
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    xlsx, xml, csvAvailable download formats
    Dataset updated
    Jul 13, 2018
    Dataset provided by
    Oakland Police Departmenthttps://www.oaklandca.gov/departments/police
    Authors
    Homicide data from Oakland Police Department by request, 2017. Population data from American Community Survey, 1-year estimates, 2016.
    Description

    This Indicator measures the rate of homicides in Oakland by race/ethnicity. Rate is calculated as the number of homicides per 100,000 people of the same race/ethnicity (of any age).

  5. PRR #10437

    • data.oaklandca.gov
    csv, xlsx, xml
    Updated Dec 1, 2015
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    Oakland Police Department (2015). PRR #10437 [Dataset]. https://data.oaklandca.gov/Public-Services/PRR-10437/pzvh-xrum
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    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Dec 1, 2015
    Dataset authored and provided by
    Oakland Police Departmenthttps://www.oaklandca.gov/departments/police
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    crime statistics

  6. w

    Jan 2014 To May 2015

    • data.wu.ac.at
    • data.oaklandca.gov
    application/excel +5
    Updated Oct 19, 2015
    + more versions
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    A. Fuller (2015). Jan 2014 To May 2015 [Dataset]. https://data.wu.ac.at/odso/data_oaklandnet_com/azd0ei02NnQ3
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    csv, xlsx, json, xml, application/excel, application/xml+rdfAvailable download formats
    Dataset updated
    Oct 19, 2015
    Dataset provided by
    A. Fuller
    Description

    Crime Statistics

  7. April 2013 To Dec 2013

    • data.oaklandca.gov
    csv, xlsx, xml
    Updated Oct 19, 2015
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    Oakland Police Department (2015). April 2013 To Dec 2013 [Dataset]. https://data.oaklandca.gov/Public-Services/April-2013-To-Dec-2013/seht-r45z
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    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Oct 19, 2015
    Dataset authored and provided by
    Oakland Police Departmenthttps://www.oaklandca.gov/departments/police
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    PRR 10628 crime statistics

  8. O

    Records For 2016

    • data.oaklandca.gov
    csv, xlsx, xml
    Updated Sep 8, 2017
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    (2017). Records For 2016 [Dataset]. https://data.oaklandca.gov/Public-Services/Records-For-2016/34sw-6tcv
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    xml, csv, xlsxAvailable download formats
    Dataset updated
    Sep 8, 2017
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    PRR 20055 crime statistics

  9. Police Response Times

    • data.oaklandca.gov
    csv, xlsx, xml
    Updated Jul 13, 2018
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    Oakland Police Department by request. (2018). Police Response Times [Dataset]. https://data.oaklandca.gov/Equity-Indicators/Police-Response-Times/wgvi-qsey
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Jul 13, 2018
    Dataset provided by
    Oakland Police Departmenthttps://www.oaklandca.gov/departments/police
    Authors
    Oakland Police Department by request.
    Description

    This Indicator measures the median response times of calls for service that were routed to patrol. The measurement is broken down between Priority 1 and Priority 2 calls as well as by police area. Priority 1 Calls are defined as those that include potential danger for serious injury to persons, prevention of violent crimes, serious public hazards, felonies in progress with possible suspect on scene. Priority 2 Calls are defined as urgent but not an emergency situation, hazardous / sensitive matters, in-progress misdemeanors and crimes where quick response may facilitate apprehension of suspect(s). There are 5 police areas in Oakland each of which consist of a defined set of police beats and therefore cover a specific geographic part of Oakland. For more information and maps of areas, see here: http://www2.oaklandnet.com/government/o/OPD/o/BFO/index.htm

  10. O

    Records For 2013

    • data.oaklandca.gov
    csv, xlsx, xml
    Updated Sep 5, 2017
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    (2017). Records For 2013 [Dataset]. https://data.oaklandca.gov/Public-Services/Records-For-2013/wb7f-ju26
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Sep 5, 2017
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    crime statistics, PRR 20055

  11. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2024). Most dangerous cities in the U.S. 2023, by violent crime rate [Dataset]. https://www.statista.com/statistics/217685/most-dangerous-cities-in-north-america-by-crime-rate/
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Most dangerous cities in the U.S. 2023, by violent crime rate

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 12, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United States
Description

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

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