Generalized Land Use 1954

Generalized Land Use 1954 provides a high level land use of Peel County in 1954, providing a snapshot of Peel's state before the tremendous population and employment growth in the coming decades.

The generalised land use was created from 1954 aerial imagery (2.5m) available from the University of Toronto map library (resource here). These images were georeferenced and areas were clipped out. While not as exact as newer GLU years, it provides a useful historical view of Peel County before its explosive growth in the following decades.

The shoreline of Peel was cut along the shoreline as it was in the 1954 imagery, which predated some of the heavy industrial land uses that reshaped the shore (for example, Lakeview Generating Station). The outer boundary is also different than the present-day boundary, as there were various changes to the boundary when Peel County was converted into Peel Region in 1974 and subsequent land exchanges took place with neighbouring municipalities such as Orangeville and Halton.

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Additional Info

Field Value
Last Updated March 24, 2026, 20:52 (UTC)
Created March 24, 2026, 20:52 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Title
Title for the Dataset.
Generalized Land Use 1954
Description
A description of the dataset.

Generalized Land Use 1954 provides a high level land use of Peel County in 1954, providing a snapshot of Peel's state before the tremendous population and employment growth in the coming decades.

The generalised land use was created from 1954 aerial imagery (2.5m) available from the University of Toronto map library (resource here). These images were georeferenced and areas were clipped out. While not as exact as newer GLU years, it provides a useful historical view of Peel County before its explosive growth in the following decades.

The shoreline of Peel was cut along the shoreline as it was in the 1954 imagery, which predated some of the heavy industrial land uses that reshaped the shore (for example, Lakeview Generating Station). The outer boundary is also different than the present-day boundary, as there were various changes to the boundary when Peel County was converted into Peel Region in 1974 and subsequent land exchanges took place with neighbouring municipalities such as Orangeville and Halton.
Tags / Keywords
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
216.0
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
5FEBA164-7D4C-4160-AE94-CB29CCA33BC7
Published Date
Published date of the dataset.
2019-12-02
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).
public
License
License used to access the dataset.
Open Data Licence for The Regional Municipality of Peel (Version 1.0)
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://data.peelregion.ca/datasets/RegionofPeel::generalized-land-use-1954
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
[email protected]_RegionofPeel
Contact Point
Who to contact regarding access?
Regional Municipality of Peel
Contact Point Email
The email to contact regarding access?
http://www.peelregion.ca/
Publisher
Publisher of the dataset.
Regional Municipality of Peel
Publisher Email
Email of the publisher.
Author
Author of the dataset.
[email protected]_RegionofPeel
Author Email
Email of the author.
Accessed At
Date the data and metadata was accessed.
2022-05-26
Field Value
Identifier
Unique identifier for the dataset.
481972f320d1424fb4dd80d6fbca78f4
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://data.peelregion.ca/datasets/RegionofPeel::generalized-land-use-1954
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.
Region of Peel - Corporate Services
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.
36
Number of data columns
If tabular dataset, total number of unique columns.
7
Number of data cells
If tabular dataset, total number of cells with data.
252
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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