Daily Shelter Occupancy in Toronto

The data set provides a listing of all the active shelters serving the City of Toronto area. Included in the dataset is the name of the shelter, program name, sector served (i.e. men, women, youth, families) addresses, funded program capacity, and the number of people that occupied those spaces at 4:00 AM the next morning.

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Additional Info

Field Value
Last Updated April 18, 2024, 17:01 (UTC)
Created February 12, 2024, 16:53 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Homelessness
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.csv - text/csv
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.
2022-03-12
Time Period Data Span (start date)
Start date of the data in the dataset.
2017-01-01
Time Period Data Span (end date)
End date of time data in the dataset.
2020-12-31
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Toronto
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://open.toronto.ca/dataset/daily-shelter-occupancy/
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
Toronto Shelter & Support Services
Contact Point
Who to contact regarding access?
Toronto Shelter & Support Services
Publisher
Publisher of the dataset.
Toronto Shelter & Support Services
Publisher Email
Email of the publisher.
tsssdata@toronto.ca
Author
Author of the dataset.
Toronto Shelter & Support Services
Author Email
Email of the author.
Toronto Shelter & Support Services
Accessed At
Date the data and metadata was accessed.
2024-02-12
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://open.toronto.ca/dataset/daily-shelter-occupancy/
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?
Yes
Contains Indigenous Data
Does the data hold data about Indigenous communities?
No
Field Value
Source
Source of the dataset.
https://open.toronto.ca/dataset/daily-shelter-occupancy/
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.
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.
Yearly
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
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.
41062
Number of data columns
If tabular dataset, total number of unique columns.
13
Number of data cells
If tabular dataset, total number of cells with data.
583806
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.
high quality for 100%
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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