Housing Needs Assessment
The Housing Needs Assessment dashboard visualizes data included in the 2024 Housing Needs Assessment (HNA) report. This report is mandated under federal and provincial funding programs and legislation, and provides an in-depth, data-driven analysis of current conditions, projected trends as well as descriptions of the city’s evolving housing needs.
The data on this dashboard is divided into seven sections: demographics, housing pressures, housing supply, experiences of homelessness, shelter demand and occupancy, housing solutions, and the Centralized Wait List.Data for this dashboard was collected from a number of sources, including administrative data from the City of Ottawa, and publicly available data from Statistics Canada and the Canadian Mortgage and Housing Corporation, among other public data sources.
Date Created: June 27th 2025 Update Frequency: Annually Last Reviewed: June 27th 2025 Accuracy, Completeness, and Known Issues:
The Housing Needs Assessment dashboard relies on data from Statistics Canada (Census), Canada Mortgage and Housing Corporation (CMHC), municipal administrative datasets, and local housing market information. Many data points include disaggregation by various demographic characteristics, including household characteristics, housing core need, the Point-in-Time count of people experiencing homelessness, shelter system capacity and demand sourced from the Homeless Individuals and Families Information System (HIFIS), and the Centralized Wait List. Some data points, such as average rent prices and housing stock amounts cannot be further aggregated using demographic characteristics. More information regarding data quality and methodology can be found within the full Housing Needs Assessment report.
Attributes: The following data tables have been provided for the dataset, and are organized into themes.
Demographics:
- Population by Age Group
- Households
- Immigrant Population
- Income
- Housing Costs
- Consumer Price Index
- Vacancy Rate
- Housing Development
- Housing Stock
- Experiences of Homelessness
- Shelter Demand and Capacity
- Shelter Average Length of Stay
- Affordable and Supportive Units Built
- Rent-Geared-to-Income and Housing Benefits
- Clients on Centralized Wait List
- New Centralized Wait List Applications
- Housed from Centralized Waitlist
Datasets available for download
This dataset has no data
Additional Info
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| Last Updated | March 24, 2026, 20:41 (UTC) |
| Created | March 24, 2026, 20:41 (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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Housing Needs Assessment |
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Description
A description of the dataset.
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The Housing Needs Assessment dashboard visualizes data included in the 2024 Housing Needs Assessment (HNA) report. This report is mandated under federal and provincial funding programs and legislation, and provides an in-depth, data-driven analysis of current conditions, projected trends as well as descriptions of the city’s evolving housing needs. The data on this dashboard is divided into seven sections: demographics, housing pressures, housing supply, experiences of homelessness, shelter demand and occupancy, housing solutions, and the Centralized Wait List.Data for this dashboard was collected from a number of sources, including administrative data from the City of Ottawa, and publicly available data from Statistics Canada and the Canadian Mortgage and Housing Corporation, among other public data sources. Date Created: June 27th 2025 Update Frequency: Annually Last Reviewed: June 27th 2025 Accuracy, Completeness, and Known Issues: The Housing Needs Assessment dashboard relies on data from Statistics Canada (Census), Canada Mortgage and Housing Corporation (CMHC), municipal administrative datasets, and local housing market information. Many data points include disaggregation by various demographic characteristics, including household characteristics, housing core need, the Point-in-Time count of people experiencing homelessness, shelter system capacity and demand sourced from the Homeless Individuals and Families Information System (HIFIS), and the Centralized Wait List. Some data points, such as average rent prices and housing stock amounts cannot be further aggregated using demographic characteristics. More information regarding data quality and methodology can be found within the full Housing Needs Assessment report. Attributes: The following data tables have been provided for the dataset, and are organized into themes. Demographics:
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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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12.08 |
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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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2025-06-18 |
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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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Open Data | City of Ottawa |
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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://od-dev2-ottawa.opendata.arcgis.com/datasets/ottawa::housing-needs-assessment |
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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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[email protected] |
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Contact Point
Who to contact regarding access?
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City of Ottawa |
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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 Ottawa |
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Publisher Email
Email of the publisher.
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Author
Author of the dataset.
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[email protected] |
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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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2025-08-11 |
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Identifier
Unique identifier for the dataset.
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4a9aa5f7835646ada78b435a6474dd83 |
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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://od-dev2-ottawa.opendata.arcgis.com/datasets/ottawa::housing-needs-assessment |
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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 Ottawa |
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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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