Registry of Dogs Subject to and Issued a Dangerous Dog Order
Dangerous Dog Orders issued to dogs by the City of Toronto that are currently active will be listed here. A Dangerous Dog Order is issued when it is confirmed that a dangerous act (Any bite, attack, act of menacing behaviour or any combination of a bite, attack or act of menacing behaviour.) has occurred and the act is deemed severe or is the second consecutive act on record. This data set is updated monthly.
For more information about Dangerous Dog Orders, please visit toronto.ca/dangerousdogs
For more information on the council motion associated with this data, please see Agenda Item History 2024.EC10.2 for the motion related to this dataset.
To ensure public awareness of where dangerous dog orders have been served and to protect the health and safety of residents, beginning May 2025, postal codes have been added to this dataset for all severe and very severe bites. For more information on this decision, please see Agenda Item 2025.EC19.5.
For more information on Dangerous Dog Review Tribunal, please see https://secure.toronto.ca/council/#/committees/2642/24710
Datasets available for download
Additional Info
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| Last Updated | December 17, 2025, 18:39 (UTC) |
| Created | December 17, 2025, 18:39 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Registry of Dogs Subject to and Issued a Dangerous Dog Order |
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Description
A description of the dataset.
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Dangerous Dog Orders issued to dogs by the City of Toronto that are currently active will be listed here. A Dangerous Dog Order is issued when it is confirmed that a dangerous act (Any bite, attack, act of menacing behaviour or any combination of a bite, attack or act of menacing behaviour.) has occurred and the act is deemed severe or is the second consecutive act on record. This data set is updated monthly. For more information about Dangerous Dog Orders, please visit toronto.ca/dangerousdogs For more information on the council motion associated with this data, please see Agenda Item History 2024.EC10.2 for the motion related to this dataset. To ensure public awareness of where dangerous dog orders have been served and to protect the health and safety of residents, beginning May 2025, postal codes have been added to this dataset for all severe and very severe bites. For more information on this decision, please see Agenda Item 2025.EC19.5. For more information on Dangerous Dog Review Tribunal, please see https://secure.toronto.ca/council/#/committees/2642/24710 |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2024-04-12 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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License
License used to access the dataset.
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License not specified |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://open.toronto.ca/dataset/dogs-issued-dangerous-dog-orders |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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Municipal Licensing & Standards, Enforcement, [email protected] |
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Contact Point
Who to contact regarding access?
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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[email protected] |
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Author
Author of the dataset.
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[email protected] |
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Author Email
Email of the author.
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[email protected] |
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Accessed At
Date the data and metadata was accessed.
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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Link to dataset description
A URL to an external document describing the dataset.
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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https://www.toronto.ca/community-people/animals-pets/pets-in-the-city/dogs-in-the-city/dog-bites-or-attacks/ |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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