Registered Programs and Drop In Courses Offering

City of Toronto has a multitude of exciting programs for all ages. Whether public is looking for swimming, fitness, skating, skiing, arts and crafts or dance Parks, Forestry, and Recreation Division of the City of Toronto has something for everyone.

Information presented in this dataset is used as data source for Parks, Forestry, and Recreation website. For examples of registered and drop-in recreation programs at particular locations please refer to: Examples.

Dataset contains 4 tabs:

  1. Registered Programs. Each row of the spreadsheet describes a course of a registered program. Course_ID is unique identifier. Recreational programs fall under various categories. A registered program course runs under an activity, on schedule, and has boundaries in regards age of a registrant. You can get information on course location from Locations tab by LocationID. There are multiple courses running at one location.
  2. Drop-in. Each row of the spreadsheet describes a drop-in course. Drop-In Course is a program offered within PFR facilities where registration is not required. Drop-In Participation is an informal involvement in a program where space may permit in an activity, and allow for a pay as you go option (e.g. fitness class, Aquafit class). A drop-in course runs under a category, on schedule, and has boundaries in regards age of registrants. You can get information on course location from Locations tab by LocationID. There are multiple courses running at one location.
  3. Locations. Each row of the spreadsheet describes a location. LocationID is unique identifier. A location has a name, is characterized by a type (park, rec centre), address, and short description, may be fully or partially accessible, and may have a parent location.
  4. Facilities. Each row of the spreadsheet describes a facility. FacilityID is unique identifier. Facility is described by a Type (Display Name) and has multiple assets. 'Facility Rating' column contains values of facility rates (used to learn about amenities that might be available at each facility - see metadata). Facilities of some types can be permitted - 'Permit' column contains information on necessary permit. You can get information on facility's location from Locations tab by LocationID. Every location has multiple facilities.

The source of the data is Parks, Forestry & Recreation SQL Server database that combines information from the City of Toronto Recreation Management System and Parks, Forestry & Recreation Asset Management System. The dataset updates are scheduled daily at 8:00 AM.

Comments:
The file contains data on recreation programs presented in the City of Toronto Parks, Forestry, and Recreation web site. The information in data repositories that are sources for the website is updated on daily and reflects situation as of 1 day prior to dataset update. Changes might not be reflected right away in the dataset due to processing lags. Examples of such are program cancellations, community centres closures, locations change, etc. In cases where data changes require additional time for implementation this gap may exceed 24 hours. The Parks, Forestry, and Recreation Division makes every effort to keep this Open Data set updated and accurate.

Datasets available for download

Additional Info

Field Value
Last Updated December 17, 2025, 18:39 (UTC)
Created December 17, 2025, 18:39 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Community services, Parks and recreation
Title
Title for the Dataset.
Registered Programs and Drop In Courses Offering
Description
A description of the dataset.

City of Toronto has a multitude of exciting programs for all ages. Whether public is looking for swimming, fitness, skating, skiing, arts and crafts or dance Parks, Forestry, and Recreation Division of the City of Toronto has something for everyone.

Information presented in this dataset is used as data source for Parks, Forestry, and Recreation website. For examples of registered and drop-in recreation programs at particular locations please refer to: Examples.

Dataset contains 4 tabs:

  1. Registered Programs. Each row of the spreadsheet describes a course of a registered program. Course_ID is unique identifier. Recreational programs fall under various categories. A registered program course runs under an activity, on schedule, and has boundaries in regards age of a registrant. You can get information on course location from Locations tab by LocationID. There are multiple courses running at one location.
  2. Drop-in. Each row of the spreadsheet describes a drop-in course. Drop-In Course is a program offered within PFR facilities where registration is not required. Drop-In Participation is an informal involvement in a program where space may permit in an activity, and allow for a pay as you go option (e.g. fitness class, Aquafit class). A drop-in course runs under a category, on schedule, and has boundaries in regards age of registrants. You can get information on course location from Locations tab by LocationID. There are multiple courses running at one location.
  3. Locations. Each row of the spreadsheet describes a location. LocationID is unique identifier. A location has a name, is characterized by a type (park, rec centre), address, and short description, may be fully or partially accessible, and may have a parent location.
  4. Facilities. Each row of the spreadsheet describes a facility. FacilityID is unique identifier. Facility is described by a Type (Display Name) and has multiple assets. 'Facility Rating' column contains values of facility rates (used to learn about amenities that might be available at each facility - see metadata). Facilities of some types can be permitted - 'Permit' column contains information on necessary permit. You can get information on facility's location from Locations tab by LocationID. Every location has multiple facilities.

The source of the data is Parks, Forestry & Recreation SQL Server database that combines information from the City of Toronto Recreation Management System and Parks, Forestry & Recreation Asset Management System. The dataset updates are scheduled daily at 8:00 AM.

Comments:
The file contains data on recreation programs presented in the City of Toronto Parks, Forestry, and Recreation web site. The information in data repositories that are sources for the website is updated on daily and reflects situation as of 1 day prior to dataset update. Changes might not be reflected right away in the dataset due to processing lags. Examples of such are program cancellations, community centres closures, locations change, etc. In cases where data changes require additional time for implementation this gap may exceed 24 hours. The Parks, Forestry, and Recreation Division makes every effort to keep this Open Data set updated and accurate.

Tags / Keywords
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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.
2019-07-23
Time Period Data Span (start date)
Start date of the data in the dataset.
Time Period Data Span (end date)
End date of time data in the dataset.
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
License
License used to access the dataset.
License not specified
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://open.toronto.ca/dataset/registered-programs-and-drop-in-courses-offering
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
Parks, Forestry & Recreation, [email protected]
Contact Point
Who to contact regarding access?
Contact Point Email
The email to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
[email protected]
Author
Author of the dataset.
[email protected]
Author Email
Email of the author.
[email protected]
Accessed At
Date the data and metadata was accessed.
Field Value
Identifier
Unique identifier for the dataset.
Language
Language(s) of the dataset
Link to dataset description
A URL to an external document describing the dataset.
Persistent Identifier
Data is identified by a persistent identifier.
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Contains data about individuals
Does the data hold data about individuals?
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Contains Indigenous Data
Does the data hold data about Indigenous communities?
Portal Type
Platform type of the source portal.
Field Value
Version
Version of the datatset
None
Source
Source of the dataset.
https://www.toronto.ca/explore-enjoy/recreation/
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.
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.
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.

0 Comments

Please login or register to comment.