Permanent Bicycle Counters
This dataset contains counts of bicycles from permanent detectors installed on Toronto streets and multi-use paths. The City uses the data to monitor trends in people cycling and the seasonal use of bicycle lanes. Additional new count stations are being added to the system and the data will be brought online when data validation is completed.
The following files showing different views of the data are available:
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Detector Locations (cycling_permanent_counts_locations): Location and metadata of each detector. This table references the City of Toronto's Street Centreline dataset.
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Daily Counts (cycling_permanent_counts_daily): Total daily counts by location and direction
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15-minute Counts (cycling_permanent_counts_15min): 15-minute counts by direction and location. 1-hour counts are provided if 15-minute counts are not available.
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Readme and Data Dictionary (cycling_permanent_counts_readme): Provides a detailed definition of each data table and it's corresponding columns.
Datasets available for download
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cycling_permanent_counts_locationsCSV
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cycling_permanent_counts_dailyCSV
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cycling_permanent_counts_15min_2025_2026CSV
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cycling_permanent_counts_15min_2024_2025CSV
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cycling_permanent_counts_15min_1994_2024CSV
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cycling_permanent_counts_locations_geojsonGeoJSON
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Locations.csvCSV
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Locations.xmlXML
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Locations.jsonJSON
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cycling_permanent_counts_daily.csvCSV
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cycling_permanent_counts_daily.xmlXML
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cycling_permanent_counts_daily.jsonJSON
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cycling_permanent_counts_15min_2024_2025.csvCSV
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cycling_permanent_counts_15min_2024_2025.xmlXML
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cycling_permanent_counts_15min_2024_2025.jsonJSON
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cycling_permanent_counts_15min_2025_2026.csvCSV
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cycling_permanent_counts_15min_2025_2026.xmlXML
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cycling_permanent_counts_15min_2025_2026.jsonJSON
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cycling_permanent_counts_locations.csvCSV
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cycling_permanent_counts_locations.xmlXML
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cycling_permanent_counts_locations.jsonJSON
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cycling_permanent_counts_readme.pdfPDF
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cycling_permanent_counts_15min_1994_2024.csvCSV
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cycling_permanent_counts_15min_1994_2024.xmlXML
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cycling_permanent_counts_15min_1994_2024.jsonJSON
Additional Info
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| Last Updated | December 17, 2025, 18:39 (UTC) |
| Created | December 17, 2025, 18:39 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Transportation |
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Title
Title for the Dataset.
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Permanent Bicycle Counters |
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Description
A description of the dataset.
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This dataset contains counts of bicycles from permanent detectors installed on Toronto streets and multi-use paths. The City uses the data to monitor trends in people cycling and the seasonal use of bicycle lanes. Additional new count stations are being added to the system and the data will be brought online when data validation is completed. The following files showing different views of the data are available:
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2025-01-30 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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License
License used to access the dataset.
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License not specified |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://open.toronto.ca/dataset/permanent-bicycle-counters |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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Transportation Services, Data & Analytics, [email protected] |
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Contact Point
Who to contact regarding access?
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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[email protected] |
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Author
Author of the dataset.
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[email protected] |
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Author Email
Email of the author.
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[email protected] |
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Accessed At
Date the data and metadata was accessed.
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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Link to dataset description
A URL to an external document describing the dataset.
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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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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