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.

Datasets available for download

Additional Info

Field Value
Last Updated February 15, 2024, 13:45 (UTC)
Created February 12, 2024, 16:53 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Homelessness
Published Date
Published date of the dataset.
2022-03-12
Time Span (start date)
Start date of the data in the dataset.
2017-01-01
Time Span (end date)
End date of time data in the dataset.
2020-12-31
GeoSpatial Area Span
A spatial region or named place the dataset covers.
Toronto
Field Value
Identifier
Unique identifier for the dataset.
Access category
Type of access granted for the dataset (open, closed, etc).
open
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
Link to dataset description
A URL to an external document describing the dataset.
https://open.toronto.ca/dataset/daily-shelter-occupancy/
Language
Language(s) of the dataset
English
Persistent Identifier
Data is identified by a persistent identifier.
Yes
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
No
Format (CSV, XLS, TXT, PDF, etc)
Format of the dataset.
CSV
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
Contains Individual Data
Does the data hold individualized data?
Yes
Contains Identifiable Data
Does the data hold identifiable individual data?
Yes
Contains Indigenous Data
Does the data hold data about Indigenous communities?
No
Limits on use
Limits on use of data.
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Data complies with a community standard (RDA-R1.3-01D)
This indicator requires that data complies with community standards. (FAIR ID = RDA-R1.3-01D).
Yes
Data uses knowledge representation expressed in standardised format (RDA-I1-01D)
The indicator serves to determine that an appropriate standard is used to express knowledge, in particular the data model and format (FAIR ID = RDA-I1-01D).
Yes
Data uses machine-understandable knowledge representation (RDA-I1-02D)
This indicator focuses on the machine-understandability aspect of the data. This means that data should be readable and thus interoperable for machines without any requirements such as specific translators or mappings (FAIR ID = RDA-I1-02D).
Yes
Data uses FAIR-compliant vocabularies (RDA-I2-01D)
The indicator requires the controlled vocabulary used for the data to conform to the FAIR principles, and at least be documented and resolvable using globally unique and persistent identifiers. The documentation needs to be easily findable and accessible (FAIR ID = RDA-I2-01D).
N/A
Data includes references to other data (RDA-I3-01D )
This indicator is about the way data is connected to other data, for example linking to previous or related research data that provides additional context to the data (FAIR ID = RDA-I3-01D).
No
Data is accessible through an access protocol that supports authentication and authorisation (RDA-A1.2-01D)
The indicator requires that if the data or local environment indicates a degree of additional protection then the access protocol must support authentication and authorisation of people and/or machines? (FARI ID = RDA-A1.2-01D)
N/A
Data can be accessed manually (RDA-A1-02D)
Data can be accessed manually (i.e., with human intervention, FAIR ID = RDA-A1-02D).
Yes
Data identifier resolves to a digital object (RDA-A1-03D)
Data identifier resolves to a digital object (FAIR ID = RDA-A1-03D)
N/A
Data is accessible through a standardised protocol (RDA-A1-04D)
The indicator refers to automated interactions between machines to access digital objects (FAIR ID = RDA-A1-04D).
N/A
Data can be accessed automatically (RDA-A1-05D)
Data can be accessed automatically (i.e. by a computer program, FAIR ID = RDA-A1-05D)
N/A
Data is accessible through a free access protocol (RDA-A1.1-01D)
The indicator requires that the protocol can be used free of charge which facilitates unfettered access (FAIR ID = RDA-A1.1-01D).
N/A
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.