Annual population estimates as of July 1st, by census metropolitan area and census agglomeration, single year of age, five-year age group and gender, based on the Standard Geographical Classification (SGC) 2021.

This table contains data for gross domestic product (GDP), in current dollars, for all census metropolitan area and non-census metropolitan areas.

Demographics (2006 and 2011 Census Data) This dataset contains three worksheets. The full description for each column of data is available in the first worksheet called "IndicatorMetaData". The data came from the 2006 and 2011 Census. Some of the data from the 2011 Census was not available at the time of publishing. Refer to the descriptions in worksheet 1 for more information. Users should note that the data for each neighbourhood are based on the mathematical aggregation of smaller sub-areas (in this case Census Tracts) that when combined, define the entire neighbourhood. Since smaller areas may have their values rounded or suppressed (to abide by Statistics Canada privacy standards), the overall total may be undercounted. Population Total (2016 Census Data) The data refers to Total Population from the 2016 Census, aggregated by the City of Toronto to the City's 140 Neighbourhood Planning Areas. Although Statistics Canada makes a great effort to count every person, in each Census a notable number of people are left out for a variety of reasons. For Census 2016: Population and Dwellings example, people may be travelling, some dwellings are hard to find, and some people simply refuse to participate. Statistics Canada takes this into account and for each Census estimates a net 'undercoverage' rate for the urban region, the Toronto Census Metropolitan Area (CMA), but not for the city. The 2011 rate for the Toronto CMA was 3.72% plus or minus 0.53%. The 2016 rate is not yet available

Demographics (2006 and 2011 Census Data) This dataset contains three worksheets. The full description for each column of data is available in the first worksheet called "IndicatorMetaData". The data came from the 2006 and 2011 Census. Some of the data from the 2011 Census was not available at the time of publishing. Refer to the descriptions in worksheet 1 for more information. Users should note that the data for each neighbourhood are based on the mathematical aggregation of smaller sub-areas (in this case Census Tracts) that when combined, define the entire neighbourhood. Since smaller areas may have their values rounded or suppressed (to abide by Statistics Canada privacy standards), the overall total may be undercounted. Population Total (2016 Census Data) The data refers to Total Population from the 2016 Census, aggregated by the City of Toronto to the City's 140 Neighbourhood Planning Areas. Although Statistics Canada makes a great effort to count every person, in each Census a notable number of people are left out for a variety of reasons. For Census 2016: Population and Dwellings example, people may be travelling, some dwellings are hard to find, and some people simply refuse to participate. Statistics Canada takes this into account and for each Census estimates a net 'undercoverage' rate for the urban region, the Toronto Census Metropolitan Area (CMA), but not for the city. The 2011 rate for the Toronto CMA was 3.72% plus or minus 0.53%. The 2016 rate is not yet available

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.

Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by census metropolitan area, sex and age group, last 5 years.

Statistics Canada publishes monthly labour force statistics for all Canadian Census Metropolitan Areas (CMAs) and provinces. In addition, the City of Toronto purchases a special run from Statistics Canada of Labour Force Survey (LFS) data for city of Toronto residents (i.e. separate from the rest of the Toronto CMA). LFS data are collected by place of residence, and therefore city of Toronto's "employment" represents "employed residents" and not "jobs" in the city of Toronto. There are more jobs in the city of Toronto than employed city of Toronto residents. In this LFS database, you will find 22 monthly tables and 28 annual tables. Most of the tables contain data for five geographies: city of Toronto, Toronto CMA, Toronto/Hamilton/Oshawa CMAs, Ontario and Canada ( see attachment Table of Contents below a full description ). LFS data in the IVT tables are not seasonally adjusted. Top level seasonally adjusted LFS data are available in our monthly Toronto Economic Bulletin on Open Data. LFS is based on a monthly sample of approximately 2,800 households in the Toronto CMA, about half of the sample is from the city of Toronto; therefore, estimates will vary from the results of a complete census. LFS follows a rotating panel sample design, in which households remain in the sample for six consecutive months. The total sample consists of six representative sub-samples of panels, and each month a panel is replaced after completing its six month stay in the survey. Outgoing households are replaced by households in the same or similar area. This results in a five-sixths month-to-month sample overlap, which makes the design efficient for estimating month-to-month changes. The rotation after six months prevents undue respondent burden for households that are selected for the survey ( see attachment Guide to the Labour Force Survey for more information). Upon reviewing the data, you will see that at least some cells in the IVT tables have been suppressed. For confidentiality reasons, Statistics Canada suppresses Labour Force Survey data for any cell that corresponds to less than 1,500 persons. At the beginning of 2015, Statistics Canada substantially changed the methodology used to produce LFS population estimates for the city of Toronto. These changes have resulted in large and inexplicable swings in population and related counts, which are not real. However, the unemployment and participation rates for city residents showed very little change in this revision. The red dots in the chart above represents Statistics Canada's Annual Demographics estimates for the populations of the city of Toronto, age 15 and over. These are only estimates, but they are generally accepted as the most accurate estimates for the city's population. (Source: https://www150.statcan.gc.ca/n1/pub/91-214-x/91-214-x2018000-eng.htm). The most recent Statistics Canada population estimate for the city of Toronto is for July 1, 2015; therefore, we have to use projections thereafter. There are several population projections for the city. The projection that EDC staff has chosen to use for rebasing city of Toronto LFS data is the Ontario Ministry of Finance Population Projections 2017-2041 and downloaded June, 2017 from http://www.fin.gov.on.ca/en/economy/demographics/projections/ Please see attachment Rebased Labour Force Survey for City of Toronto below for annual adjustment factors, monthly adjustment factors and an example of how to rebase the absolute numbers for the city of Toronto.

This dataset includes two tables which were custom ordered from Statistics Canada. One table includes information on shelter cost to income ratio and total shelter cost by tenure, household type, and household income. The other table includes variables on housing characteristics (total number of bedrooms, structural type, and tenure), and households (household size, household type, and age of primary household maintainer). The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom Order from Statistics Canada TABLE 1 includes the following dimensions and variables: Geography: Toronto CMA & Vancouver CMA to the census tract level Tenure: Owner (with and without mortgage), renter, subsidized, not subsidized Shelter Cost to Income Ratio: less than 15%, 15-30%, 30-50%, 50% or more, not applicable Household Type: -Census-family households -One-census family households without additional persons -One couple census family without other persons in the household -With children -Without children -One lone-parent census family without other persons in the household -One-census-family households with additional persons -One couple census family household with additional persons -One lone-parent census family with additional persons in the household -With children -Without children -One lone-parent census family with other persons in the household -Multiple census-family households -Non-census family household -One person households -Two or more person non-census households Total Shelter Cost: under $500 to over $3000 in intervals of $250 and $500 Household Income: in intervals of $10,000 up to $100,000 or more TABLE 2 includes the following dimensions and variables: Geography: Toronto CMA & Vancouver CMA to the census tract level Total number of bedrooms: No bedrooms to 4 or more bedrooms Tenure: Owner, renter Structural type: -Single detached house -Apartment with 5 or more stories -Other attached dwelling -Semi-detached house -Row house -Apartment or flat in a duplex -Apartment, building with fewer than 5 stories -Other single attached house -Movable dwelling Age of Household Maintainer: Begins at 15 and continues in 9 year intervals until 75 and over. Condominium Status: Condominium, not a condominium Household Type: -Census-family households -With children -Without children -Multiple census-family households -Non-census family household Household Size: One person up to 5 or more persons Original file names: EO2969 - Table 1 (Part 1) Cost income household _Toronto and Vancouver 2016.ivt EO2969 - Table 2 Tenure and dwelling_Toronto and Vancouver 2016.ivt

Number of employees by North American Industry Classification System (NAICS) and census metropolitan area, last 5 years.

Canada's largest metropolitan area is Toronto, in Ontario. In 2022. Over 6.6 million people were living in the Toronto metropolitan area. Montréal, in Quebec, followed with about 4.4 million inhabitants, while Vancouver, in Britsh Columbia, counted 2.8 million people as of 2022.

Number of employees by census metropolitain area and National Occupational Classification (NOC), last 5 months.

Monthly unemployment rate for the Toronto CMA as reported by Statistics Canada.

Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by Montréal, Toronto and Vancouver census metropolitan areas, last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

The Household File contains housing data as well as some basic demographic information on the occupants of the household. A record, when dealing with the Household File, refers to data on the household unit. A household is a person or groups of persons ocuupying one dwelling. It usually consists of a family group, with or without lodgers, employees, etc. However, it may consist of two or more families sharing a dwelling, or a group of unrelated persons or of one person living alone. This file contains data for the two CMAs in Canada - Montreal and Toronto.

The Individual File contains demographic and economic data for individuals in the sample along with a few family and housing characteristics. A record, when dealing with the Individual File, refers to one person. This file contains data for the two CMAs in Canada - Montreal and Toronto.

The Family File gives detailed information on the head and spouse of the census family as well as grouped data on other members of the family. A record, when dealing with the family File, refers to data on one family unit. A family consists of a husband and wife (with or without children who have nevered married, regardless of age) or a parent with one or more children with one or more children never married, living in the same dwelling. A family may also consist of a man or woman living with a gaurdianship or ward under 21 years for whom no pay was received. The "Head of the Family" is the husband in a husband-wife family, or the parent in a one-parent family. This file contains data on the provinces; for data on the CMAs of Montreal and Toronto, see the CMA level file.

Monthly unemployment rate for the Quebec City CMA as reported by Statistics Canada.

Between July 1, 2021 and June 30, 2022, approximately 493 thousand people settled in metropolitan areas in Canada from abroad, while around 49.8 thousand Canadians left those same areas. This statistic breaks down these figures by metropolitan areas. The city that welcomed the most immigrants was Toronto, where more than 159 thousand individuals arrived over the period under consideration.

Monthly unemployment rate for the Saskatoon CMA as reported by Statistics Canada.

Monthly unemployment rate for the Halifax CMA as reported by Statistics Canada.