Police Race and Identity Based Data - Use of Force

This dataset contains summary table data of information from the provincial Use of Force Reports and occurrences that resulted in an enforcement action. The data used to produce these summary data comes from two sources: a) information about enforcement actions, such as calls for service types and occurrence categories, come from the Service's Records Management System and b) information related to reported use of force, such as highest types of force and perceived weapons, comes from the provincial use of force reports.

The data counts unique occurrences which resulted in a police enforcement action or incidents of reported use of force. Hence, there may be more than one person and more than one officer involved in enforcement action incident or reported use of force incident. Since the summary tables are of incidents, where there was more than one person, descriptors such as perceived race refer to the composition of person(s) involved in the enforcement action incident. For example, if the incident involved more than one person, each perceived to be of a different race or gender group, then the incident is categorized as a “multiple race group.”

For the purpose of the race-based data analysis, the data includes all incidents which resulted in a police enforcement action and excludes other police interactions with the public, such as taking victim reports, routine traffic or pedestrian stops, or outreach events. Enforcement actions are occurrences where person(s) involved were arrested resulting in charges (including released at scene) or released without charges; received Provincial Offences Act Part III tickets; summons; cautions; diversions; apprehensions, mental health-related incidents as well as those identified as “subject” or “suspect” in an incident to which an officer attended.

Reported use of force incident are those in which a Toronto Police Service officer used force and are required to submit a report under the Police Services Act, 1990. For the purposes of the race-based data analysis, it excludes reportable incidents in which force was used against animals, team reports, and incidents where an officer unintentionally discharged a Service weapon during training. Each reported use of force incident is counted once, regardless of the number of officers or subjects involved.

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Additional Info

Field Value
Last Updated October 4, 2024, 04:49 (UTC)
Created October 4, 2024, 02:38 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Public safety
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.xml, .xpdl, .xsl - application/xml, .json - application/json, .csv - text/csv
Dataset Size
Dataset size in megabytes.
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
2022-12-02
Time Period Data Span (start date)
Start date of the data in the dataset.
Time Period Data Span (end date)
End date of time data in the dataset.
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://open.toronto.ca/dataset/police-race-and-identity-based-data-use-of-force
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
Toronto Police Services, Analytics & Innovation, Analytics.Innovation@torontopolice.on.ca
Contact Point
Who to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
Analytics.Innovation@torontopolice.on.ca
Author
Author of the dataset.
Analytics.Innovation@torontopolice.on.ca
Author Email
Email of the author.
Analytics.Innovation@torontopolice.on.ca
Accessed At
Date the data and metadata was accessed.
Field Value
Identifier
Unique identifier for the dataset.
Language
Language(s) of the dataset
Link to dataset description
A URL to an external document describing the dataset.
Persistent Identifier
Data is identified by a persistent identifier.
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Contains data about individuals
Does the data hold data about individuals?
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Contains Indigenous Data
Does the data hold data about Indigenous communities?
Field Value
Source
Source of the dataset.
https://data.torontopolice.on.ca/
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Number of data rows
If tabular dataset, total number of rows.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
If tabular dataset, total number of cells with data.
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
This dataset is retired. Its Data Quality Score will not be calculated. The last recorded Data Quality Score was 100.0% (Gold) on 2024-10-01T19:55:45.
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
Data Quality is provided by the City of Toronto

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