Gross domestic product at basic prices for the construction industry in Canada from 1997 to 2023

GDP at basic prices of the construction industry in Canada 1997-2023 Published by Fernando de Querol Cumbrera, Jun 10, 2024 The size of Canada's construction industry fell by over two billion Canadian dollars in 2023. That year, the gross domestic product (GDP) of that industry amounted to 164.7 billion Canadian dollars. Despite some fluctuations, the GDP of the construction industry has increased since 1997.

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Last Updated March 12, 2025, 15:52 (UTC)
Created March 12, 2025, 15:51 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Construction
Description
A description of the dataset.

GDP at basic prices of the construction industry in Canada 1997-2023 Published by Fernando de Querol Cumbrera, Jun 10, 2024 The size of Canada's construction industry fell by over two billion Canadian dollars in 2023. That year, the gross domestic product (GDP) of that industry amounted to 164.7 billion Canadian dollars. Despite some fluctuations, the GDP of the construction industry has increased since 1997.

Tags
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.pdf - application/pdf, .xlsx - application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, .png - image/png, .pptx - application/vnd.openxmlformats-officedocument.presentationml.presentation
Dataset Size
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
/statistics/519742/gdp-for-construction-sector-in-canada/
Published Date
Published date of the dataset.
2024-06-10
Time Period Data Span (start date)
Start date of the data in the dataset.
1997-01-01
Time Period Data Span (end date)
End date of time data in the dataset.
2023-12-31
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Canada
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Closed
Limits on use
Limits on use of data.
Location
Location of the dataset.
Stastia
Data Service
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Statistia
Owner
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Statistia
Contact Point
Who to contact regarding access?
support@statista.com
Contact Point Email
The email to contact regarding access?
support@statista.com
Publisher
Publisher of the dataset.
Statistia
Publisher Email
Email of the publisher.
support@statista.com
Author
Author of the dataset.
Statistia
Author Email
Email of the author.
support@statista.com
Accessed At
Date the data and metadata was accessed.
2025-03-12
Field Value
Identifier
Unique identifier for the dataset.
/statistics/519742/gdp-for-construction-sector-in-canada/
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://www.statista.com/study/60779/construction-in-canada/
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://www.statista.com/statistics/519742/gdp-for-construction-sector-in-canada/
Version notes
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Is version of another dataset
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Other versions
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Provenance Text
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Provenance URL
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Temporal resolution
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Irregular
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.
City
Field Value
Indigenous Community Permission
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Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
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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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