Construction costs of buildings in Ontario, Canada in 2023, by select building type
Datasets available for download
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Construction costs of buildings in Ontario,...
(in Canadian dollars per square meter)
Additional Info
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| Last Updated | March 31, 2025, 12:48 (UTC) |
| Created | March 12, 2025, 01:08 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Construction |
| Description
A description of the dataset.
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Ontario's construction costs 2023, by building type Published by Fernando de Querol Cumbrera, Dec 10, 2024 Ambulatory healthcare was the type of building with the highest construction costs in Ontario (Canada) in 2023. The cost of that type of building ranged from 7,110 to 8,750 Canadian dollars per square meter. Townhouses with mid-end specifications were, along with warehouses, among the cheapest buildings to construct, even though the townhouse sale price in Canada was much higher in 2023 than in a decade earlier. On the other side of the residential spectrum, the construction cost of high-rise buildings with mid-end specifications could reach up to 5,370 Canadian dollars per square meter. The housing sector in Ontario The fast population growth in Toronto, the main city in Ontario, has put pressure on its housing market. From 2001 to 2022, the number of people living in Canada’s largest city increased by over 37 percent. During the past years, house prices in Ontario rose at a similarly fast pace. Combined, these elements signal a strong demand for homes in Toronto and Ontario as a whole. The construction sector has responded to this trend: In 2022, most housing starts in Canada took place in the province of Ontario. That same year, EllisDon Corporation, with headquarters in Mississauga (Ontario), was the second-largest contractor in Canada. One of its largest residential/mixed-use projects under development is the 489-539 King St. West Development, in Toronto. Construction cost in North America Building construction costs in Quebec, the second most populous province in Canada after Ontario, had a similar cost range: Ambulatory healthcare buildings were the most expensive, and warehouses were the cheapest to build. However, enclosed malls and higher education buildings were significantly more expensive in Quebec than in Ontario. Across the border, the cities with the highest residential construction costs in the U.S. were San Francisco for multi-family housing, and New York City for single-family housing. Meanwhile, Los Angeles, San Francisco, and New York had the highest hotel construction costs in the U.S. |
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Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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.pdf - application/pdf, .xlsx - application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, .pptx - application/vnd.openxmlformats-officedocument.presentationml.presentation, .png - image/png |
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Dataset Size
Dataset size in megabytes.
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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/statistics/972912/-building-costs-ontario-canada-by-type/ |
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Published Date
Published date of the dataset.
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2024-03-01 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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2023-01-01 |
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Time Period Data Span (end date)
End date of time data in the dataset.
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2023-12-31 |
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Ontario |
| chatgpt_summary | The dataset titled "Construction costs of buildings in Ontario, Canada in 2023, by select building type" is a comprehensive collection of data pertaining to the construction industry in Ontario. The dataset, which is owned and published by Statistia, covers the time period from January 1, 2023, to December 31, 2023, and is specifically focused on the geographical area of Ontario. The dataset is available in multiple formats including PDF, XLS, PNG, and others. The dataset is categorized under the domain/topic of Construction and is tagged with keywords such as Housing Potential, construction, costing practices, and housing. The dataset is closed access and the contact point for access is support@statista.com. The dataset does not contain data about individuals, identifiable individuals, or Indigenous communities. The dataset provides a detailed description of the construction costs in Ontario in 2023, by building type. It reveals that ambulatory healthcare was the type of building with the highest construction costs in Ontario in 2023. The dataset also provides insights into the housing sector in Ontario and the construction cost in North America. The dataset is available in English and has a unique identifier. The dataset is identified by a persistent and globally unique identifier. The dataset's owning organization is Statistia and the data and metadata were accessed on March 11, 2025. The metadata was created on March 12, 2025, and was last modified on March 26, 2025. The dataset is licensed under the Open Government Licence – Ontario. |
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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Closed |
| License
License used to access the dataset.
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Open Government Licence – Ontario |
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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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Ontario |
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Data Service
Data service for accessing a dataset.
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Statistia |
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Owner
Owner of the dataset.
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Statistia |
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Contact Point
Who to contact regarding access?
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support@statista.com |
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Contact Point Email
The email to contact regarding access?
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support@statista.com |
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Publisher
Publisher of the dataset.
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Statistia |
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Publisher Email
Email of the publisher.
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support@statista.com |
| Author
Author of the dataset.
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Statistia |
| Author Email
Email of the author.
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support@statista.com |
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Accessed At
Date the data and metadata was accessed.
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2025-03-11 |
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Identifier
Unique identifier for the dataset.
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/statistics/972912/-building-costs-ontario-canada-by-type/ |
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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://www.statista.com/statistics/604254/median-house-prices-ontario/ |
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Persistent Identifier
Data is identified by a persistent identifier.
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Yes |
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Yes |
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Contains data about individuals
Does the data hold data about individuals?
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No |
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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No |
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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No |
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Source
Source of the dataset.
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https://www.statista.com/statistics/972912/-building-costs-ontario-canada-by-type/#statisticContainer |
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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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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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City |
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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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