The Census of Population is held across Canada every 5 years and collects data about age and sex, families and households, language, immigration and internal migration, ethnocultural diversity, Aboriginal peoples, housing, education, income, and labour. City of Toronto Neighbourhood Profiles use this Census data to provide a portrait of the demographic, social and economic characteristics of the people and households in each City of Toronto neighbourhood. The profiles present selected highlights from the data, but these accompanying data files provide the full data set assembled for each neighbourhood. For an interactive visualization of this data, visit the Neighbourhood Profiles webpage. In these profiles, "neighbourhood" refers to the City of Toronto's 158 social planning neighbourhoods. These social planning neighbourhoods were developed in the late 1990s by the City of Toronto to help government and community organizations with local planning by providing socio-economic data at a meaningful geographic area. The boundaries of these social planning neighbourhoods are consistent over time, allowing for comparison between Census years. Neighbourhood level indicators from sources other than the Census of Population are also available through the City's Wellbeing Toronto mapping application and here on the Open Data portal. Each data point in this file is presented for the City's 158 neighbourhoods or 140 neighbourhoods prior to April 2021. The data is sourced from a number of Census tables released by Statistics Canada. The general Census Profile is the main source table for this data. Data tables are available for the Census years of 2001, 2006, 2011, 2016, and 2021. For definitions of terms and concepts referenced in this data set, as well as limitations imposed by rounding, data suppression standards, and geometry, users should consult the reference materials produced by Statistics Canada for the 2016 Census or the 2021 Census. Please note that social planning neighbourhoods are not an official standard geography produced by Statistics Canada and the data herein is compiled by special request through the Community Data Program.

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

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...

Neighbourhood Improvement Areas are specially-selected and designated neighbourhoods in the City of Toronto found to have inequities on several indicators of well-being. Currently 31 out of 140 neighbourhoods are designated as NIAs as part of the Toronto Strong Neighbourhoods 2020 (TSNS2020) project. This dataset superceded the previous 13 Priority Areas in April 2014. For further details please read the technical documentation found in the download package or visit www.toronto.ca/neighbourhoods. For a link to the older 13 Priority Areas used between 2005 and 2013, go here: Priority Investment Neighbourhoods Dataset is based on Statistics Canada's 2011 Census Tracts, as found in the Census Dictionary and Reference Geography Maps. Area of coverage is the city of Toronto only. Dataset is based on Centreline dataset. This dataset works best with datasets with the same projection.

This dataset tracks annual distribution of students across grade levels in Toronto City School District and average distribution per school district in Ohio

Summary of the City of Toronto Zoning, summarized by neighbourhood. Courtesy of the City of Toronto Open Data team (opendata@toronto.ca) Zoning: http://www1.toronto.ca/wps/portal/contentonly?vgnextoid=5a9923e69b4a6410VgnVCM10000071d60f89RCRD&vgnextchannel=1a66e03bb8d1e310VgnVCM10000071d60f89RCRD Neighbourhoods: http://www1.toronto.ca/wps/portal/contentonly?vgnextoid=04b489fe9c18b210VgnVCM1000003dd60f89RCRD&vgnextchannel=1a66e03bb8d1e310VgnVCM10000071d60f89RCRD

The data layer shows the sign district designations of all properties in the City of Toronto - the sign bylaw regulations/permissions/restrictions that are applicable to each property in the city are based on its sign district designation. The data is used in conjunction with a City of Toronto map so that individual properties can be searched by address or through a zoom tool. The city provides this data to the public through an online mapping and search tool at: https://map.toronto.ca/maps/map.jsp?app=SignView_2

"Toronto’s 158 neighbourhoods are a microcosm of the city’s inhabitants, cultures and life. The primary purpose of the City-designated social planning neighbourhoods is to help City staff collect data, plan, analyze and forecast City services. While these neighbourhoods may not fully encompass every historical neighbourhood area, they do provide a way for planners and researchers to track information about them over time. The neighbourhood profiles were developed to help government and community agencies with their local planning, by providing socio-economic data at a meaningful geographic area. Unlike other geographies like wards or dissemination blocks, the boundaries of these social planning neighbourhoods change very infrequently over time, allowing researchers to perform longitudinal studies to see the changes in each area. Not all people define neighbourhoods the same way, but for the purposes of statistical reporting these neighbourhoods were defined based on Statistics Canada census tracts. For more information visit our About Toronto's Neighbourhoods page."

This dataset tracks annual diversity score from 1991 to 2023 for Toronto City School District vs. Ohio

Demographic, socioeconomic, environmental and health data for 140 neighbourhoods of the City of Toronto

This dataset tracks annual hispanic student percentage from 2014 to 2023 for Toronto City School District vs. Ohio

This dataset contains unit density profiles of Social Housing in the City of Toronto for the 140 neighbourhoods that make up the City of Toronto. For Reference Period 2014: Social housing units including Toronto Community Housing Corporation locations, Housing Connections locations, non-profits and co-op developments participating in the Social Housing Wait List.

This dataset tracks annual overall district rank from 2012 to 2023 for Toronto City School District

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.

"Toronto’s 158 neighbourhoods are a microcosm of the city’s inhabitants, cultures and life. The primary purpose of the City-designated social planning neighbourhoods is to help City staff collect data, plan, analyze and forecast City services. While these neighbourhoods may not fully encompass every historical neighbourhood area, they do provide a way for planners and researchers to track information about them over time.\r The neighbourhood profiles were developed to help government and community agencies with their local planning, by providing socio-economic data at a meaningful geographic area. Unlike other geographies like wards or dissemination blocks, the boundaries of these social planning neighbourhoods change very infrequently over time, allowing researchers to perform longitudinal studies to see the changes in each area. Not all people define neighbourhoods the same way, but for the purposes of statistical reporting these neighbourhoods were defined based on Statistics Canada census tracts. For more information visit our About Toronto's Neighbourhoods page."

1961 census tract boundary files and attribute data tables for the City of Toronto. Note that the City of Toronto boundaries did not extend as far as they do in this dataset. The boundaries do, however, correspond to the current boundaries of the City of Toronto in 2012.

An Area of Concern (AOC) is a location where environmental quality is degraded compared to other areas in the Great Lake Basin resulting in the impairment of beneficial uses. A total of 43 AOCs were identified as a result of Annex 2 of the Great Lakes Water Quality Agreement (GLWQA).The Canada-United States GLWQA identifies 14 beneficial uses that must be restored in order to remove the designation as an Area of Concern. A beneficial use is defined as the ability of living organisms (including humans) to use the Great Lakes Basin Ecosystem without adverse consequences. A Beneficial Use Impairment (BUI) is a condition that interferes with the enjoyment of a water use. Each BUI has a set of locally-defined delisting criteria that are specific, measurable, achievable, and scientifically-defensible. The Remedial Action Plan (RAP) is administered locally in accordance with the Canada-U.S. Great Lakes Water Quality Agreement (GLWQA) and the Canada-Ontario Agreement (COA). The RAP is an ongoing collaborative effort implemented by federal, provincial, and local governments as well as industry and public partners. There are 3 key stages of the RAP: Stage 1 is a detailed description of the environmental problem; Stage 2 identifies remedial actions and options; Stage 3 is the final document providing evidence that the beneficial uses have been restored and the AOC can be “delisted”. The Toronto and Region Area of Concern extends along the northern shoreline of Lake Ontario from the Rouge River in the east to Etobicoke Creek in the west. The 2000 km2 (200 000 ha) area includes the Toronto waterfront and 6 watersheds: Etobicoke Creek, Mimico Creek, Humber River, Don River, Highland Creek and Rouge River. The drainage basin of these watersheds makes the Area of Concern a study in contrasts: more than 40% of the area is still rural and contains one of the world’s largest natural parks in an urban/agricultural setting; at the same time, more than three million people live in the Area of Concern and the City of Toronto is in the centre of the most densely urbanized area in Canada. The Toronto region was designated as an AOC in 1986 because a review of available data indicated that water quality and environmental health were severely degraded. Several centuries of agriculture and urban development have dramatically reshaped the natural environment of the Toronto and Region AOC. Contaminants from stormwater runoff and melting snow from the area’s six watersheds create serious impacts in Lake Ontario. Overflows of stormwater mixed with raw sewage are a serious problem following heavy rains in the lower portions of the Don and Humber Rivers and along the waterfront. Spills, road runoff and chemical input to sewers from industries and residences also contribute to poor water quality. In the Toronto and Region AOC’s Remedial Action Plan (RAP) report, Clean Waters, Clear Choices: Recommendations for Action (1994) eight beneficial uses were identified as impaired and three were identified as requiring further assessment. For more information visit https://www.canada.ca/en/environment-climate-change/services/great-lakes-protection/areas-concern/toronto-region.html

This dataset includes the Crime Data by Neighbourhood. Counts are available for Assault, Auto Theft, Break and Enter, Robbery, Theft Over, Homicide and Shooting & Firearm Discharges. Data also includes the crime rate per 100,000 population calculated using the population estimates provided by Environics Analytics. Following the standard definition by StatsCan, crime rate is calculated as the crime count per 100,000 population* per year. This metric facilitates the comparisons of crime between geographic areas with different size of populations. Comparing to crime count, crime rate provides a fairer comparison of the crime over time by taking into account the change in population in the region. Note: Fields have been included for the new 158 City of Toronto Neighbourhoods structure *Population figures reflect only the resident population of a region. The temporary population such as the commuters and business patrons are not included.

This dataset tracks annual science proficiency from 2021 to 2022 for Toronto City School District vs. Ohio

This dataset includes all Major Crime Indicators (MCI) occurrences by reported date. The Major Crime Indicators categories are Assault, Break and Enter, Auto Theft, Robbery and Theft Over (Excludes Sexual Assaults). This data is provided at the offence and/or victim level, therefore one occurrence number may have several rows of data associated to the various MCIs used to categorize the occurrence. This data does not include occurrences that have been deemed unfounded. The definition of unfounded according to Statistics Canada is: “It has been determined through police investigation that the offence reported did not occur, nor was it attempted” (Statistics Canada, 2020). This data includes all MCI occurrences reported to the Toronto Police Service, including those where the location has not been able to be verified. As a result, coordinate fields may appear blank. Likewise, this includes occurrences where the coordinate location is outside the City of Toronto. Note: Fields have been included for both the old 140 City of Toronto Neighbourhoods structure as well as the new 158 City of Toronto Neighbourhoods structure