Employment Areas

The dataset titled "Employment Areas" falls under the domain of Economy and is tagged with keywords such as Business and Economy, Development Feasibility, and Housing Potential. It is available in various formats including CSV, GeoJSON, SHP, and KML. The dataset, which is 2MB in size, was published on August 6, 2014, and covers the time period from the same date to May 31, 2017. The geospatial data spans the area of Oakville and is accessible under the Open category. The dataset is owned and published by the Town of Oakville, and inquiries can be directed to Oakville_GIS via the email maps@oakville.ca. The dataset was last accessed on March 25, 2025, and is identified by a persistent and globally unique identifier.

The dataset does not contain data about individuals, identifiable individuals, or Indigenous communities. It is a version of another dataset available on the ArcGIS platform. The data is updated quarterly and the geospatial resolution is in meters and covers the city region. The dataset comprises 5 rows and 4 columns, totaling 20 data cells. The dataset provides information about employment areas designated in the Livable Oakville Plan for clusters of business and economic activities. The dataset is licensed under the Town of Oakville Open Data License and includes resources such as 'Employment_Areas.csv', 'Employment_Areas-shp.zip', 'Employment_Areas.geojson', and 'Employment_Areas.kml'. The metadata for the dataset was created on March 26, 2025, and last modified on March 28, 2025.

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Additional Info

Field Value
Last Updated March 31, 2025, 13:14 (UTC)
Created March 26, 2025, 03:15 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Economy
Description
A description of the dataset.

Employment areas are areas designated in the Livable Oakville Plan (official plan) for clusters of business and economic activities including, but not limited to, manufacturing, warehousing, offices, and associated retail and ancillary facilities.

Employment areas are areas designated in the Livable Oakville Plan (official plan) for clusters of business and economic activities including, but not limited to, manufacturing, warehousing, offices, and associated retail and ancillary facilities.

Note: The Employment Areas dataset replaces the previously posted Employment Districts dataset, which was derived from the old official plan and was not consistent with the new Livable Oakville Plan.

Tags
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.csv - text/csv, application/geo+json, application/vnd.shp, .kml - application/vnd.google-earth.kml+xml
Dataset Size
Dataset size in megabytes.
2
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
/datasets/ExploreOakville::employment-areas/about
Published Date
Published date of the dataset.
2014-08-06
Time Period Data Span (start date)
Start date of the data in the dataset.
2014-08-06
Time Period Data Span (end date)
End date of time data in the dataset.
0017-05-31
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Oakville
chatgpt_summary The dataset titled "Employment Areas" falls under the domain of Economy and is tagged with keywords such as Business and Economy, Development Feasibility, and Housing Potential. It is available in various formats including CSV, GeoJSON, SHP, and KML. The dataset, which is 2 MB in size, was published on August 6, 2014, and spans a time period from the same date to May 31, 2017. The geospatial data covers the area of Oakville and is accessible under an open category. The dataset, owned by the Town of Oakville, is located on the ArcGIS data service. The contact point for access is Oakville_GIS, and they can be reached at maps@oakville.ca. The dataset was last accessed on March 25, 2025. The dataset is identified by a persistent and globally unique identifier. It does not contain data about individuals, identifiable individuals, or Indigenous communities. It is a version of another dataset available on the ArcGIS website. The dataset has a quarterly temporal resolution and a city-level geospatial resolution. It consists of 5 rows and 4 columns, totaling 20 data cells. The dataset provides a detailed description of employment areas in Oakville, including clusters of business and economic activities such as manufacturing, warehousing, offices, and associated retail and ancillary facilities. The dataset is licensed under the Town of Oakville Open Data License and includes resources like 'Employment_Areas.csv', 'Employment_Areas-shp.zip', 'Employment_Areas.geojson', and 'Employment_Areas.kml'. The metadata for the dataset was created and last modified on March 26, 2025.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Open
License
License used to access the dataset.
Town of Oakville Open Data License
Limits on use
Limits on use of data.
Town of Oakville Open Data License
Location
Location of the dataset.
Oakville
Data Service
Data service for accessing a dataset.
ArcGIS
Owner
Owner of the dataset.
Town of Oakville
Contact Point
Who to contact regarding access?
Oakville_GIS
Contact Point Email
The email to contact regarding access?
maps@oakville.ca
Publisher
Publisher of the dataset.
Town of Oakville
Publisher Email
Email of the publisher.
maps@oakville.ca
Author
Author of the dataset.
Town of Oakville
Author Email
Email of the author.
maps@oakville.ca
Accessed At
Date the data and metadata was accessed.
2025-03-25
Field Value
Identifier
Unique identifier for the dataset.
/datasets/ExploreOakville::employment-areas/about
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://utoronto.maps.arcgis.com/sharing/rest/content/items/a262249e80e646d588585e09dc2de2ea/info/metadata/metadata.xml?format=default&output=html
Persistent Identifier
Data is identified by a persistent identifier.
Yes
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Yes
Contains data about individuals
Does the data hold data about individuals?
No
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
No
Contains Indigenous Data
Does the data hold data about Indigenous communities?
No
Field Value
Source
Source of the dataset.
https://portal-exploreoakville.opendata.arcgis.com/datasets/ExploreOakville::employment-areas/about
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
https://utoronto.maps.arcgis.com/home/item.html?id=a262249e80e646d588585e09dc2de2ea
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
https://services5.arcgis.com/QJebCdoMf4PF8fJP/arcgis/rest/services/Employment_Areas/FeatureServer/0
Temporal resolution
Describes how granular the date/time data in the dataset is.
Quarterly
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
esriMeters
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
City
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.
5
Number of data columns
If tabular dataset, total number of unique columns.
4
Number of data cells
If tabular dataset, total number of cells with data.
20
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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