Labour
Census_2021_Housing CENSUS 2021 HOUSING Owner households in Kitchener Census_2021_Housing CENSUS 2021 HOUSING Renter households in Kitchener How are employment and unemployment rates calculated? Employment rate refers to the number of persons employed in the week of Sunday, May 2 to Saturday, May 8, 2021, expressed as a percentage of the total population aged 15 years and over. The unemployment rate is calculated by dividing the number of unemployed people by the number of people in the labour force. Participation rate - Refers to the number of persons employed in the week of Sunday, May 2 to Saturday, May 8, 2021, expressed as a percentage of the total population aged 15 years and over. They may, or may not, work in Kitchener. Employment and 'not in labour force' rates are calculated by dividing by the total population aged 15 years and older. As a result, employment and unemployment rates do not total the participation rate. Unemployment Rate - 2021 Census Industries of Kitchener's employed labour force Industry refers to the type of business carried out at the business location. It uses the North American Industry Classification System (NAICS) that has 20 sectors. Of the employed population, the top 5 industries in Kitchener are: Manufacturing, Retail Trade, Health Care and Social Assistance, Professional Science and Technology and Education Services. The top main industry in Kitchener and Cambridge is manufacturing, while Waterloo's is Professional Science and Technology. Total - Labour force aged 15 years and over by occupation - Broad category - National Occupational Classification (NOC) 2021 Census_2021_Housing CENSUS 2021 HOUSING Kitchener households not in core need Occupation The type of work the person caries out at their job. It uses the National Occupation Classification System (NOCS) that has 10 sectors. For example, a person may have an accounting job at a manufacturing business. In Kitchener, sales and service is the larges occupation with 24% of the employed population working in this field. Examples of work include: Cashier at a grocery store Hairdresser or barber Server at a restaurant Car salesperson 17% of Kitchener's employed population works in a trades, transport, or equipment operator occupation.This ties in with the large manufacturing and retail trade industries that in Kitchener. 2021 Census Home
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Additional Info
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| Last Updated | September 23, 2026, 08:09 (UTC) |
| Created | June 16, 2026, 19:30 (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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Labour |
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Description
A description of the dataset.
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Census_2021_Housing CENSUS 2021 HOUSING Owner households in Kitchener Census_2021_Housing CENSUS 2021 HOUSING Renter households in Kitchener How are employment and unemployment rates calculated? Employment rate refers to the number of persons employed in the week of Sunday, May 2 to Saturday, May 8, 2021, expressed as a percentage of the total population aged 15 years and over. The unemployment rate is calculated by dividing the number of unemployed people by the number of people in the labour force. Participation rate - Refers to the number of persons employed in the week of Sunday, May 2 to Saturday, May 8, 2021, expressed as a percentage of the total population aged 15 years and over. They may, or may not, work in Kitchener. Employment and 'not in labour force' rates are calculated by dividing by the total population aged 15 years and older. As a result, employment and unemployment rates do not total the participation rate. Unemployment Rate - 2021 Census Industries of Kitchener's employed labour force Industry refers to the type of business carried out at the business location. It uses the North American Industry Classification System (NAICS) that has 20 sectors. Of the employed population, the top 5 industries in Kitchener are: Manufacturing, Retail Trade, Health Care and Social Assistance, Professional Science and Technology and Education Services. The top main industry in Kitchener and Cambridge is manufacturing, while Waterloo's is Professional Science and Technology. Total - Labour force aged 15 years and over by occupation - Broad category - National Occupational Classification (NOC) 2021 Census_2021_Housing CENSUS 2021 HOUSING Kitchener households not in core need Occupation The type of work the person caries out at their job. It uses the National Occupation Classification System (NOCS) that has 10 sectors. For example, a person may have an accounting job at a manufacturing business. In Kitchener, sales and service is the larges occupation with 24% of the employed population working in this field. Examples of work include: Cashier at a grocery store Hairdresser or barber Server at a restaurant Car salesperson 17% of Kitchener's employed population works in a trades, transport, or equipment operator occupation.This ties in with the large manufacturing and retail trade industries that in Kitchener. 2021 Census Home |
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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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4036.59 |
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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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2023-11-09 |
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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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public |
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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://kitchener-census-and-demographics-hub-1-KitchenerGIS.hub.arcgis.com/datasets/KitchenerGIS::labour |
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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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KitchenerGIS |
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Contact Point
Who to contact regarding access?
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City of Kitchener |
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Contact Point Email
The email to contact regarding access?
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[email protected] |
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Publisher
Publisher of the dataset.
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City of Kitchener |
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Publisher Email
Email of the publisher.
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Author
Author of the dataset.
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KitchenerGIS |
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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2026-09-08 |
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Identifier
Unique identifier for the dataset.
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dadff8be4f53476db7b954ce99dc34e8 |
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Language
Language(s) of the dataset
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English |
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Link to dataset description
A URL to an external document describing the dataset.
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https://kitchener-census-and-demographics-hub-1-KitchenerGIS.hub.arcgis.com/datasets/KitchenerGIS::labour |
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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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None |
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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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City of Kitchener |
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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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