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This is a Non-Federal dataset covered by different Terms of Use than Data.gov. See Terms

Police Transparency - Arrests - All Data (main table / denormalized)

Metadata Updated: November 22, 2025

Main Table / Denormalized VersionThis dataset provides demographic information related to arrests made by the Tempe Police Department. Each record represents an individual charge associated with an arrest and includes details about both the person arrested (arrestee) and the arresting officer. Demographic fields include race and ethnicity, age range at the time of arrest, and gender for each party.The data is sourced from the Police Department’s Records Management System (RMS) and supports analysis of patterns related to arrests, enforcement activity, and demographic trends over time. This information is a component of ongoing efforts to promote transparency and provide context for law enforcement within the community.For detailed guidance on interpreting arrest counts and demographic breakdowns, please refer to the User Guide: Understanding the Arrests Demographic Datasets.Why this Dataset is Organized this Way?The main arrests open data table includes key information from each arrest event, along with associated person and charge details in one place. This format is ideal for quick viewing and simple analysis.Providing this format supports a wide range of users, from casual data explorers to experienced analysts.Understanding the Arrests Open Data (main table / denormalized version)Each row in this dataset represents a single charge, which means a single arrest event may appear multiple times if multiple charges were filed. To determine the number of unique arrests, users should perform a distinct count of the rin field, which serves as the arrest incident identifier.Likewise:To count unique arrestees, use a distinct count of the pin field (person identifier).To count unique arresting officers, use a distinct count of the arrest_officer field. This structure enables users to explore charge-level detail while maintaining the ability to summarize demographic data by arrest event, arrestee, or officer as needed. Visit the User Guide: Understanding the Arrests Demographic Datasets for more details.Data DictionaryAdditional InformationContact Email: PD_DataRequest@tempe.govContact Phone: N/ALink: N/AData Source: Versaterm RMSData Source Type: SQL ServerPreparation Method: Automated processPublish Frequency: DailyPublish Method: Automatic

Access & Use Information

Public: This dataset is intended for public access and use. Non-Federal: This dataset is covered by different Terms of Use than Data.gov. See Terms License: Creative Commons Attribution

Downloads & Resources

Dates

Metadata Created Date October 18, 2025
Metadata Updated Date November 22, 2025

Metadata Source

Harvested from City of Tempe Data.json Harvest Source

Additional Metadata

Resource Type Dataset
Metadata Created Date October 18, 2025
Metadata Updated Date November 22, 2025
Publisher City of Tempe
Maintainer
Identifier https://www.arcgis.com/home/item.html?id=aeb0328cb1d6412b9f7a1fc65b056148&sublayer=0
Data First Published 2025-07-29T19:29:01.000Z
Data Last Modified 2025-11-22T12:37:54.906Z
Category geospatial
Public Access Level public
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id dfd31a2c-d67c-49e5-9912-0250e1601375
Harvest Source Id ceea1675-8276-45f1-b45c-bb28dba71955
Harvest Source Title City of Tempe Data.json Harvest Source
Homepage URL https://data.tempe.gov/datasets/tempegov::police-transparency-arrests-all-data-main-table-denormalized
License https://creativecommons.org/licenses/by/4.0
Metadata Type geospatial
Old Spatial -113.9676,33.2628,-111.8742,33.4881
Source Datajson Identifier True
Source Hash da668dfd8aa97aa3e1ade8f314f7f18602238982ee1335c29acc1ab18dffc985
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -113.9676, 33.2628, -113.9676, 33.4881, -111.8742, 33.4881, -111.8742, 33.2628, -113.9676, 33.2628}

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