Wood Buffalo PIT-Homelessness-Count-Key-Findings---2022

This catalogue entry pertains to a dataset titled "Wood Buffalo PIT-Homelessness-Count-Key-Findings---2022", which falls under the domain or topic of homelessness. The dataset is in PDF format and is accessible via a URL. The data spans from January 1, 2022, to December 31, 2022, and covers the geospatial area of Wood Buffalo. The dataset is open for access and is not specified under any particular license. The owner of the dataset is The Canadian Observatory on Homelessness, and the publisher is The Homeless Hub. The dataset was accessed on January 21, 2024, and is in English. The dataset does not contain data about individuals, identifiable individuals, or indigenous data. The dataset's temporal resolution is annual.

The dataset was authored by the Regional Municipality of Wood Buffalo. The contact point for access is provided via a URL, and the publisher's email is thehub@edu.yorku.ca. The dataset does not have a globally unique identifier but has a persistent identifier. There are other versions of this dataset available at a provided URL. The dataset does not provide any information on geospatial resolution in meters or regions, indigenous community permission, community permission, or the indigenous communities the dataset is about. The description of the dataset reveals that it was created with funding from Infrastructure Canada and in partnership with the 7 Cities on Housing and Homelessness. The dataset was derived from a Point-in-Time (PiT) Count carried out in the urban service area of the Regional Municipality of Wood Buffalo.

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Additional Info

Field Value
Last Updated December 6, 2024, 15:07 (UTC)
Created January 22, 2024, 02:45 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Homelessness
Description
A description of the dataset.

With funding from Infrastructure Canada and in partnership with the 7 Cities on Housing and Homelessness (Calgary, Grande Prairie, Lethbridge, Edmonton, Medicine Hat, Red Deer, and Fort McMurray), the Regional Municipality of Wood Buffalo carried out a Point-in-Time (PiT) Count in the urban service area. The 2022 PiT Count was completed throughout the streets of Fort McMurray on the evening of September 26, 2022, from 7 p.m. to 11 p.m. An additional enumeration count was conducted in facilities that served the homeless population that night and the following day on September 27, 2022.
Tags
Keywords/tags categorizing the dataset.
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.
2022-01-01
Time Period Data Span (end date)
End date of time data in the dataset.
2022-12-31
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Wood Buffalo
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Open
License
License used to access the dataset.
License not specified
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://www.rmwb.ca/en/community-services-and-social-support/resources/PIT-Homelessness-Count---Key-Findings---2022.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/
Contact Point Email
The email to contact regarding access?
Publisher
Publisher of the dataset.
The Homeless Hub
Publisher Email
Email of the publisher.
thehub@edu.yorku.ca
Author
Author of the dataset.
Regional Municipality of Wood Buffalo
Accessed At
Date the data and metadata was accessed.
2024-01-21
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.rmwb.ca/en/community-services-and-social-support/resources/PIT-Homelessness-Count---Key-Findings---2022.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?
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.rmwb.ca/en/community-services-and-social-support/resources/PIT-Homelessness-Count---Key-Findings---2022.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/wood-buffalo
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.
N/A
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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