Crown Land Use Policy Area (Provincial)

The crown land use areas for the province of Ontario.

The spatial record for all the province’s geographic areas affected by provincial level, area-specific land use policy. 
This layer may contain geometry from the:
  • provincial parks-regulated layer
  • conservation reserves-regulated layer
  • natural heritage values area layer
  •  wilderness areas layer
  • crown land MNR acquisitions layer
  • crown land MNR unpatented layer
  • CLUPA geometry (enhanced management areas and general use areas) layer
Not to be used as a source of protected areas (provincial park, conservation reserve, etc.), crown land or private land boundaries.
Official LIO title: CLUPA Provincial
This class has related tables. CLUPA Provincial related tables.

Additional Documentation
Status
 On going: data is being continually updated

Maintenance and Update Frequency
 Continual: data is repeatedly and frequently updated

Contact
 Nicole Mokrey, CLUPA Internet Coordinator, [email protected]

Datasets available for download

Additional Info

Field Value
Last Updated September 2, 2026, 08:46 (UTC)
Created March 24, 2026, 20:42 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Title
Title for the Dataset.
Crown Land Use Policy Area (Provincial)
Description
A description of the dataset.

The crown land use areas for the province of Ontario.

The spatial record for all the province’s geographic areas affected by provincial level, area-specific land use policy. 
This layer may contain geometry from the:
  • provincial parks-regulated layer
  • conservation reserves-regulated layer
  • natural heritage values area layer
  •  wilderness areas layer
  • crown land MNR acquisitions layer
  • crown land MNR unpatented layer
  • CLUPA geometry (enhanced management areas and general use areas) layer
Not to be used as a source of protected areas (provincial park, conservation reserve, etc.), crown land or private land boundaries.
Official LIO title: CLUPA Provincial
This class has related tables. CLUPA Provincial related tables.

Additional Documentation
Status
 On going: data is being continually updated

Maintenance and Update Frequency
 Continual: data is repeatedly and frequently updated

Contact
 Nicole Mokrey, CLUPA Internet Coordinator, [email protected]

Tags / Keywords
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
0.12
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
89a91c1e-b047-47f3-87fa-96c261177e15
Published Date
Published date of the dataset.
2018-09-27
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).
public
License
License used to access the dataset.
Open Government Licence – Ontario
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://ontariogeohub-lio.opendata.arcgis.com/datasets/lio::crown-land-use-policy-area-provincial
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
LandInformationOntario
Contact Point
Who to contact regarding access?
Land Information Ontario
Contact Point Email
The email to contact regarding access?
[email protected]
Publisher
Publisher of the dataset.
Land Information Ontario
Publisher Email
Email of the publisher.
Author
Author of the dataset.
LandInformationOntario
Author Email
Email of the author.
Accessed At
Date the data and metadata was accessed.
2026-08-31
Field Value
Identifier
Unique identifier for the dataset.
4cdff8935a404c79a09e7697de2e7d51
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://ontariogeohub-lio.opendata.arcgis.com/datasets/lio::crown-land-use-policy-area-provincial
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?
Portal Type
Platform type of the source portal.
Field Value
Version
Version of the datatset
None
Source
Source of the dataset.
None
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.
Ontario Ministry of Natural Resources and Forestry
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.
1261
Number of data columns
If tabular dataset, total number of unique columns.
19
Number of data cells
If tabular dataset, total number of cells with data.
23959
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.
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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