Durham Region Point-in-Time (PiT) Count 2021

The Point-in-Time (PiT) Count captures a snapshot of individuals experiencing homelessness in the Durham Region. Conducted within a 24-hour period in October 20-21, 2021 the Count gathered information on the number of persons/families experiencing homelessness. This includes people who are living unsheltered, in shelters and other transitional locations, and people who are precariously housed (couch surfing).

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Additional Info

Field Value
Last Updated August 20, 2024, 16:26 (UTC)
Created February 12, 2024, 04:48 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Homelessness
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.pdf - application/pdf
Dataset Size
Dataset size in megabytes.
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
Time Period Data Span (start date)
Start date of the data in the dataset.
2021-01-01
Time Period Data Span (end date)
End date of time data in the dataset.
2021-12-31
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
The Region of Durham
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Open
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://www.cdcd.org/wp-content/uploads/2022/05/CDCD_PiT_Point-in-Time-Report_Infographic_WEB.pdf
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
The Canadian Observatory on Homelessness
Contact Point
Who to contact regarding access?
https://preventhomelessness.ca/contact/
Publisher
Publisher of the dataset.
The Homeless Hub
Publisher Email
Email of the publisher.
thehub@edu.yorku.ca
Author
Author of the dataset.
The City of Durham
Accessed At
Date the data and metadata was accessed.
2024-02-11
Field Value
Identifier
Unique identifier for the dataset.
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://www.cdcd.org/wp-content/uploads/2022/05/CDCD_PiT_Point-in-Time-Report_Infographic_WEB.pdf
Persistent Identifier
Data is identified by a persistent identifier.
Yes
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
No
Contains data about individuals
Does the data hold data about individuals?
Yes
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?
Yes
Field Value
Source
Source of the dataset.
https://www.cdcd.org/wp-content/uploads/2022/05/CDCD_PiT_Point-in-Time-Report_Infographic_WEB.pdf
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
https://www.homelesshub.ca/community-profile/durham-region
Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
Annually
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.
Region
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.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
If tabular dataset, total number of cells with data.
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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