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    Tucson Police Hate and Bias Crimes - Open Data

    • hub.arcgis.com
    • gisdata.tucsonaz.gov
    • +1more
    Updated Aug 1, 2018
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    City of Tucson (2018). Tucson Police Hate and Bias Crimes - Open Data [Dataset]. https://hub.arcgis.com/maps/cotgis::tucson-police-hate-and-bias-crimes-open-data
    Explore at:
    Dataset updated
    Aug 1, 2018
    Dataset authored and provided by
    City of Tucson
    License

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

    Area covered
    Description

    Spreadsheet of Hate/Bias related incidents occurring over the specified period reported to the Tucson Police Department, containing offense type, location type, victim and suspect information, TPD division, Zip Code and City of Tucson Ward number for each incident. The specific location is not reported to protect the rights of victims. This dataset only includes incidents reported within the City limits where a hate/bias nexus was determined to be an element of the incident. Specific victim and address information are not reported to protect the rights of victims. Each Hate/Bias crime is an incident in our records management system and reported to the Arizona Department of Public Safety (AZ DPS) each quarter. Each of the data points was checked manually prior to publishing. PurposeQueried a report from our I-Leads database, and referenced with actual case reports and Special Investigations Section data to complete. This data set is public information.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Update FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
City of Tucson (2018). Tucson Police Hate and Bias Crimes - Open Data [Dataset]. https://hub.arcgis.com/maps/cotgis::tucson-police-hate-and-bias-crimes-open-data

Tucson Police Hate and Bias Crimes - Open Data

Explore at:
Dataset updated
Aug 1, 2018
Dataset authored and provided by
City of Tucson
License

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

Area covered
Description

Spreadsheet of Hate/Bias related incidents occurring over the specified period reported to the Tucson Police Department, containing offense type, location type, victim and suspect information, TPD division, Zip Code and City of Tucson Ward number for each incident. The specific location is not reported to protect the rights of victims. This dataset only includes incidents reported within the City limits where a hate/bias nexus was determined to be an element of the incident. Specific victim and address information are not reported to protect the rights of victims. Each Hate/Bias crime is an incident in our records management system and reported to the Arizona Department of Public Safety (AZ DPS) each quarter. Each of the data points was checked manually prior to publishing. PurposeQueried a report from our I-Leads database, and referenced with actual case reports and Special Investigations Section data to complete. This data set is public information.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Update FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

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