Please note that this dataset is not an official City of Toronto land use dataset. It was created for personal and academic use using City of Toronto Land Use Maps (2019) found on the City of Toronto Official Plan website at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/official-plan-maps-copy, along with the City of Toronto parcel fabric (Property Boundaries) found at https://open.toronto.ca/dataset/property-boundaries/ and Statistics Canada Census Dissemination Blocks level boundary files (2016). The property boundaries used were dated November 11, 2021. Further detail about the City of Toronto's Official Plan, consolidation of the information presented in its online form, and considerations for its interpretation can be found at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/ Data Creation Documentation and Procedures Software Used The spatial vector data were created using ArcGIS Pro 2.9.0 in December 2021. PDF File Conversions Using Adobe Acrobat Pro DC software, the following downloaded PDF map images were converted to TIF format. 9028-cp-official-plan-Map-14_LandUse_AODA.pdf 9042-cp-official-plan-Map-22_LandUse_AODA.pdf 9070-cp-official-plan-Map-20_LandUse_AODA.pdf 908a-cp-official-plan-Map-13_LandUse_AODA.pdf 978e-cp-official-plan-Map-17_LandUse_AODA.pdf 97cc-cp-official-plan-Map-15_LandUse_AODA.pdf 97d4-cp-official-plan-Map-23_LandUse_AODA.pdf 97f2-cp-official-plan-Map-19_LandUse_AODA.pdf 97fe-cp-official-plan-Map-18_LandUse_AODA.pdf 9811-cp-official-plan-Map-16_LandUse_AODA.pdf 982d-cp-official-plan-Map-21_LandUse_AODA.pdf Georeferencing and Reprojecting Data Files The original projection of the PDF maps is unknown but were most likely published using MTM Zone 10 EPSG 2019 as per many of the City of Toronto's many datasets. They could also have possibly been published in UTM Zone 17 EPSG 26917 The TIF images were georeferenced in ArcGIS Pro using this projection with very good results. The images were matched against the City of Toronto's Centreline dataset found here The resulting TIF files and their supporting spatial files include: TOLandUseMap13.tfwx TOLandUseMap13.tif TOLandUseMap13.tif.aux.xml TOLandUseMap13.tif.ovr TOLandUseMap14.tfwx TOLandUseMap14.tif TOLandUseMap14.tif.aux.xml TOLandUseMap14.tif.ovr TOLandUseMap15.tfwx TOLandUseMap15.tif TOLandUseMap15.tif.aux.xml TOLandUseMap15.tif.ovr TOLandUseMap16.tfwx TOLandUseMap16.tif TOLandUseMap16.tif.aux.xml TOLandUseMap16.tif.ovr TOLandUseMap17.tfwx TOLandUseMap17.tif TOLandUseMap17.tif.aux.xml TOLandUseMap17.tif.ovr TOLandUseMap18.tfwx TOLandUseMap18.tif TOLandUseMap18.tif.aux.xml TOLandUseMap18.tif.ovr TOLandUseMap19.tif TOLandUseMap19.tif.aux.xml TOLandUseMap19.tif.ovr TOLandUseMap20.tfwx TOLandUseMap20.tif TOLandUseMap20.tif.aux.xml TOLandUseMap20.tif.ovr TOLandUseMap21.tfwx TOLandUseMap21.tif TOLandUseMap21.tif.aux.xml TOLandUseMap21.tif.ovr TOLandUseMap22.tfwx TOLandUseMap22.tif TOLandUseMap22.tif.aux.xml TOLandUseMap22.tif.ovr TOLandUseMap23.tfwx TOLandUseMap23.tif TOLandUseMap23.tif.aux.xml TOLandUseMap23.tif.ov Ground control points were saved for all georeferenced images. The files are the following: map13.txt map14.txt map15.txt map16.txt map17.txt map18.txt map19.txt map21.txt map22.txt map23.txt The City of Toronto's Property Boundaries shapefile, "property_bnds_gcc_wgs84.zip" were unzipped and also reprojected to EPSG 26917 (UTM Zone 17) into a new shapefile, "Property_Boundaries_UTM.shp" Mosaicing Images Once georeferenced, all images were then mosaiced into one image file, "LandUseMosaic20211220v01", within the project-generated Geodatabase, "Landuse.gdb" and exported TIF, "LandUseMosaic20211220.tif" Reclassifying Images Because the original images were of low quality and the conversion to TIF made the image colours even more inconsistent, a method was required to reclassify the images so that different land use classes could be identified. Using Deep learning Objects, the images were re-classified into useful consistent colours. Deep Learning Objects and Training The resulting mosaic was then prepared for reclassification using the Label Objects for Deep Learning tool in ArcGIS Pro. A training sample, "LandUseTrainingSamples20211220", was created in the geodatabase for all land use types as follows: Neighbourhoods Insitutional Natural Areas Core Employment Areas Mixed Use Areas Apartment Neighbourhoods Parks Roads Utility Corridors Other Open Spaces General Employment Areas Regeneration Areas Lettering (not a land use type, but an image colour (black), used to label streets). By identifying the letters, it then made the reclassification and vectorization results easier to clean up of unnecessary clutter caused by the labels of streets. Reclassification Once the training samples were created and saved, the raster was then reclassified using the Image Classification Wizard tool in ArcGIS Pro, using the Support...

This dataset displays the Open Data intake queue in its raw form. Data here contains attributes relating to how the Toronto Open Data team manages its various requests for updating old and publishing new datasets the Toronto Open Data Portal. Typically, an "Open Data Inquiry" ticket is first opened, prompting Open Data to investigate the possibility of updating or adding new data to the portal. Once the investigation is finished, another ticket will be opened, directing Open Data staff to "Publish a New Open Dataset Page" or "Update an Existing Open Dataset Page". These tickets will be related to the initial inquiry so to track the history of a change from beginning (Inquiry) to end (Publication or Update). Records here are direct from an internal ticket management system, so they match exactly what Open Data staff are working with. Each record is a period of time in which a ticket was in a particular status. The creation of this data is to support council motion 2023.EX10.18 and shared with the hopes that it will inform the public what Open Data is working on, and what datasets Open Data is updating or publishing.

Datasets from the City of Toronto Open Data - Data Catalogue. Date: June 6, 2014 (Neighbourhoods) and December 17, 2014 (Demographics) Website: http://www.toronto.ca/demographics/neighbourhoods.htm and http://www1.toronto.ca/wps/portal/contentonly?vgnextoid=4482904ade9ea410VgnVCM10000071d60f89RCRD Contact: Open Data Team, opendata@toronto.ca

This dataset lists all properties participating in Doors Open Toronto on Saturday, May 27 and Sunday, May 28, 2017. The dataset includes 150 architecturally, historically, culturally and socially significant buildings across the city. Doors Open Toronto 2017 is part of the City of Toronto's year-long program of celebrations, commemorations and exhibitions marking Canada's 150th birthday. Doors Open Toronto is presented by Great Gulf and produced by the City of Toronto in partnership with the broader community. The quality of the data has been reviewed. Although City staff make best efforts to review the accuracy of the data, we must rely on the properties themselves to provide accurate data. The data is considered accurate as of the date the JSON file is posted. Although it is not encouraged, it is possible for properties to change their data or remove themselves from the event right up to the event weekend. This data will not be maintained after the Doors Open event on May 27 and 28, 2017.

The 20th annual Doors Open Toronto presented by Great Gulf provides an opportunity to see inside more than 150 of the most architecturally, historically, culturally and socially significant buildings across the city. This year's theme - 20 Something - focuses on the event's past and future, celebrating the first 20 years of Doors Open Toronto while looking forward to the next 20 years! The quality of the data has been reviewed. Although City staff make best efforts to review the accuracy of the data, we must rely on the properties themselves to provide accurate data. The data is considered accurate as of the date the JSON file is posted. Although it is not encouraged, it is possible for properties to change their data or remove themselves from the event right up to the event weekend.

Contained within the 2nd Edition (1915) of the Atlas of Canada is a maps that shows the city of Toronto. The map indicates the location of city wards, street names electric railways, and select buildings.

The Digital Elevation Model (DEM) data is organized into 20km x 20km tiles with a spatial resolution of 5m. This data is intended to be used for pre-engineering survey and design as well as the production of planimetric mapping at differing accuracies. This data is intended for GIS and remote sensing application that require a high resolution, high accuracy elevation model. Official GEO title: Greater Toronto Area digital elevation model 2002 *[DEM]: Digital Elevation Model

This dataset lists all properties participating in Doors Open Toronto on Saturday, May 28 and Sunday, May 29, 2016. The dataset comprises more than 130 architecturally, historically, culturally and socially significant buildings across the city. The Doors Open Toronto 2016 theme of Re-used, Re-visited and Revised will explore the adaptive re-use of buildings throughout Toronto's architectural history. Comment: The quality of the data has been reviewed. Although City staff make best efforts to review the accuracy of the data, we must rely on the properties themselves to provide accurate data. The data is considered accurate as of the date the JSON file is posted. Although it is not encouraged, it is possible for properties to change their data or remove themselves from the event right up to the event weekend. This data will not be maintained after the Doors Open event on May 28 and 29, 2016.

Contained within the 1st Edition (1906) of the Atlas of Canada is plate that has two maps. The first map is of the city of Montreal and the second map is of the city of Toronto. At this time the cities had a population over 25, 000. The map indicates the location of city wards, electric railways, and churches shown with the symbol of a cross.

This table contains data on the number of residential properties, by property type, assessment value range and residency type for the census metropolitan areas of Toronto and Vancouver and their census subdivisions.

This dataset lists all properties participating in Doors Open Toronto on Saturday, May 26 and Sunday, May 27, 2018. The dataset includes 130 architecturally, historically, culturally and socially significant buildings across the city. Doors Open Toronto is presented by Great Gulf and produced by the City of Toronto in partnership with the broader community. The quality of the data has been reviewed. Although City staff make best efforts to review the accuracy of the data, we must rely on the properties themselves to provide accurate data. The data is considered accurate as of the date the JSON file is posted. Although it is not encouraged, it is possible for properties to change their data or remove themselves from the event right up to the event weekend. This data will not be maintained after the Doors Open event on May 26 and 27, 2018.

This dataset displays the Open Data intake queue in its raw form. Data here contains attributes relating to how the Toronto Open Data team manages its various requests for updating old and publishing new datasets the Toronto Open Data Portal. Typically, an "Open Data Inquiry" ticket is first opened, prompting Open Data to investigate the possibility of updating or adding new data to the portal. Once the investigation is finished, another ticket will be opened, directing Open Data staff to "Publish a New Open Dataset Page" or "Update an Existing Open Dataset Page". These tickets will be related to the initial inquiry so to track the history of a change from beginning (Inquiry) to end (Publication or Update). Records here are direct from an internal ticket management system, so they match exactly what Open Data staff are working with. Each record is a period of time in which a ticket was in a particular status. The creation of this data is to support council motion 2023.EX10.18 and shared with the hopes that it will inform the public what Open Data is working on, and what datasets Open Data is updating or publishing.

The data in this repository was collected as part of the City of Toronto Bicycle Cordon Count studies carried out in 2010, 2013 and 2014. The dataset contains information on how many cyclists are riding on specific downtown streets, when and where they are riding, and other cyclist characteristics such as gender, sidewalk riding, helmet use, and transporting passengers. The locations included form a "Cordon" around the inner downtown core, bounded by Bloor Street, Spadina Avenue, Queen's Quay and Jarvis Street. Counts were conducted on one or several days in each study year, between 7 a.m. and 7 p.m. The Cordon Count was conducted in early fall. Mid-week, good weather days were chosen to best represent typical cycling and micromobility travel patterns. The counts are separated by date, location, and direction, and aggregated to 15-minute bins. Count summary and 15-minute volume tables are included. For each 15-minute bin, total volume and the individual volumes broken down by cyclist characteristics are provided. The 2010 Cordon Count data was previously published on Open Data in raw format and can be found at https://open.toronto.ca/dataset/bicycle-count-and-locations/. The 2013 and 2014 data have not previously been published. The cordon count was restarted in 2022 and the data can be found at 2022 Bicycle and Micromobility Cordon Count.

The 20th annual Doors Open Toronto presented by Great Gulf provides an opportunity to see inside more than 150 of the most architecturally, historically, culturally and socially significant buildings across the city. This year's theme - 20 Something - focuses on the event's past and future, celebrating the first 20 years of Doors Open Toronto while looking forward to the next 20 years! The quality of the data has been reviewed. Although City staff make best efforts to review the accuracy of the data, we must rely on the properties themselves to provide accurate data. The data is considered accurate as of the date the JSON file is posted. Although it is not encouraged, it is possible for properties to change their data or remove themselves from the event right up to the event weekend.

The dataset, titled "Site and Area Specific Policies," falls under the domain of Development and Infrastructure, and Locations and Mapping. It is tagged with keywords such as Housing Potential, city planning, official plan, planning, and site area and specific policy. The dataset is available in various formats including JSON, CSV, geopackage+sqlite3, and vnd.shp. It was published on July 23, 2019, and the location of the dataset is provided. The owner of the dataset is City Planning, and the dataset can be contacted via opendata@toronto.ca. The author of the dataset is also opendata@toronto.ca. The dataset is owned by the City of Toronto Open Data organization. The dataset provides specific policies for various sites and areas throughout the city that require policies differing from the provisions of the Official Plan. The dataset also includes overlapping polygons representing policy areas. The source of the dataset is provided, and it is licensed under the Open Government Licence – Toronto. The dataset includes various resources such as Site and Area Specific Policies Data in different formats and projections. The metadata for the dataset was created on October 4, 2024, and was last modified on April 8, 2025.

The dataset titled "Tennis Courts Facilities in Toronto" falls under the domain of Park and Recreation. It is tagged with keywords such as Amenities, Courts, Housing Potential, Parks, Recreation, Sports, Tennis, and Toronto. The dataset is available in various formats including CSV, XLS, GeoJSON, GeoPackage, and SHP. It is a relatively small dataset with a size of 0.477 MB, spanning a time period starting from March 31, 2017. The geospatial data covers the City of Toronto. The dataset is open for access and its location is provided. The data service used is CKAN and any queries regarding access can be directed to opendata@toronto.ca. The dataset is published by Parks, Forestry & Recreation and was last accessed on November 20, 2024. The dataset is identified by the unique identifier "tennis-courts-facilities" and is in English. A link to the dataset description is provided. The dataset has a persistent identifier but does not have a globally unique identifier. It does not contain data about individuals, identifiable individuals, or Indigenous communities. The dataset was last updated on November 7, 2024, and is updated periodically. The geospatial resolution of the data is at the city level. The dataset comprises 174 rows and 13 columns, with a data quality score of 79%. The dataset is owned by the City of Toronto Open Data. It provides information on tennis court locations in Toronto, including public locations and clubs. The source of the dataset is provided and it is licensed under the Open Government Licence – Toronto. The dataset includes resources in various formats. The metadata was created on November 20, 2024, and last modified on March 28, 2025.

The dataset titled "Wellbeing Toronto - Housing" falls under the domain of Housing and is tagged with keywords such as Affordable, Affordable Housing, Housing, Housing Potential, Price, and Shelter. It is available in the format of a spreadsheet and was published on 30th April 2015. The data spans from 1st January 2008 to 31st December 2012 and covers the geographical area of Toronto. The dataset is open for access and its use is governed by the City of Toronto's Open Government Licence. The dataset is owned by the City of Toronto and any queries regarding access can be directed to opendata@toronto.ca. The dataset was published by Social Development, Finance & Administration and the author is Wellbeing Toronto. The dataset was last accessed on 30th October 2023 and is available in English. It contains a persistent identifier but does not have a globally unique identifier. The dataset does not contain data about individuals or identifiable individuals. The version of the dataset is dated 29th October 2023 and the last data refresh was on 30th April 2015. The dataset is updated annually and covers the city region. It contains 11 rows, 282 columns, and 3100 data cells. The dataset is owned by the City of Toronto Open Data organization. The dataset contains three worksheets with detailed descriptions available in the first worksheet called "IndicatorMetaData". The data is sourced from various organizations including Toronto Community Housing Corporation, City of Toronto's Shelter, Support and Housing Administration, City of Toronto Affordable Housing Office, and Statistics Canada. The dataset is licensed under the UK Open Government Licence (OGL). The metadata was created on 31st October 2023 and last modified on 8th April 2025.