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 presents the 2021 population counts for census metropolitan areas and census agglomerations, and their population centres and rural areas.

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.

This data set is no longer compiled by the Ministry of the Solicitor General. Data from the Police Administration Survey. Describes the police strength (number of police officers per 100,000 people) in Ontario's census metropolitan areas. These are areas with: * At least 100,000 total residents * At least 50,000 residents in the core Data is based on the number of police officers in 2012 and populations for 2011. The data can be accessed from Statistics Canada.

This data includes the characteristics of Ontario Works and Ontario Disability Support Program cases, by census metropolitan area, and by the province including: * family type * family size * primary applicant's age and sex * consecutive months on social assistance A census metropolitan area (CMA) is formed by one or more adjacent municipalities centred on a population centre (known as the core). A CMA must have a total population of at least 100,000 of which 50,000 or more must live in the core. *[CMA]: census metropolitan area

This table contains data on the number of residential properties, by ownership status and residency type for the provinces of British Columbia and Ontario and their census metropolitan areas.

Built-Up Areas are man-made land cover features, ranging from small hamlets at rural cross roads to large cities.

Additional Documentation

Built-up Area - Data Description (PDF) Built-Up Area - Documentation (Word)

Status Completed: production of the data has been completed Maintenance and Update Frequency As needed: data is updated as deemed necessary Contact Ian Smyth, Ian.Smyth@ontario.ca

This statistics shows a list of the top 20 largest-metropolitan areas in the United States in 2010, by land area. Riverside-San Bernardino-Ontario in California was ranked first enclosing an area of 70,612 square kilometers.

This table contains data on the number and the assessment value of residential properties, by property type and residency type for the provinces of British Columbia and Ontario and their census metropolitan areas.

In 2023, the population of the Riverside-San Bernardino-Ontario metropolitan area in the United States was about 4.68 million people. This was a slight increase from the previous year, when the population was about 4.66 million people.

This table contains data described by the following dimensions (Not all combinations are available): Geography (67 items: Barrie; Ontario; Abbotsford-Mission; British Columbia; Census metropolitan areas and census agglomerations of 50,000 and over; Census metropolitan areas ...), Type of unit (7 items: Total units; Single-detached and semi-detached units; Semi-detached units; Single-detached units ...).

This table contains data on the number and percentage of individual resident owners, median and average assessment value of residential properties by sex and property type, provinces of British Columbia and Ontario and their census metropolitan areas.

As of July 1, 2022, there were approximately 13.87 million males and 14.13 million females living in metropolitan areas across Canada. This statistic breaks down this figure by metropolitan area. Toronto was the most populated city in the country, counting over 3.2 million males and 3.4 million females.

This table contains data on the number and percentage of individual resident owners, median and average assessment value of residential properties by sex and property type, provinces of British Columbia and Ontario and their census metropolitan areas.

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Compares distribution of highest certificate, diploma or degree between cities. Allows sorting/ranking of cities by percentage.

Canada New Housing Construction: Started: CMA 10,000: Ontario data was reported at 4,106.000 Unit in Feb 2025. This records an increase from the previous number of 4,070.000 Unit for Jan 2025. Canada New Housing Construction: Started: CMA 10,000: Ontario data is updated monthly, averaging 5,270.000 Unit from Jan 1990 (Median) to Feb 2025, with 422 observations. The data reached an all-time high of 11,314.000 Unit in Nov 2021 and a record low of 1,491.000 Unit in Mar 1991. Canada New Housing Construction: Started: CMA 10,000: Ontario data remains active status in CEIC and is reported by Canada Mortgage and Housing Corporation. The data is categorized under Global Database’s Canada – Table CA.EA008: New Housing Construction: Started: Census Metropolitan Areas.

Housing Assessment Resource Tools (HART) This dataset contains 2 tables and 5 files which draw upon data from the 2021 Census of Canada. The tables are a custom order and contain data pertaining to older adults and housing need. The 2 tables have 6 dimensions in common and 1 dimension that is unique to each table. Table 1's unique dimension is the "Ethnicity / Indigeneity status" dimension which contains data fields related to visible minority and Indigenous identity within the population in private households. Table 2's unique dimension is "Structural type of dwelling and Period of Construction" which contains data fields relating to the structural type and period of construction of the dwelling. Each of the two tables is then split into multiple files based on geography. Table 1 has two files: Table 1.1 includes Canada, Provinces and Territories (14 geographies), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); and Table 1.2 includes Canada and the CMAs of Canada (44). Table 2 has three files: Table 2.1 includes Canada, Provinces and Territories (14), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); Table 2.2 includes Canada and the CMAs of Canada excluding Ontario and Quebec (20 geographies); and Table 2.3 includes Canada and the CMAs of Canada that are in Ontario and Quebec (25 geographies). 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 includes the following dimensions and data fields: Geography: - Country of Canada as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia) as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), as a whole as well as all census divisions (CDs) within the 3 territories - All 43 census metropolitan areas (CMAs) in Canada Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Universe: Full Universe: Population aged 55 years and over in owner and tenant households with household total income greater than zero in non-reserve non-farm private dwellings. Definition of Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances. Data Fields: Table 1: Age / Gender (12) 1. Total – Population 55 years and over 2. Men+ 3. Women+ 4. 55 to 64 years 5. Men+ 6. Women+ 7. 65+ years 8. Men+ 9. Women+ 10. 85+ 11. Men+ 12. Women+ Housing indicators (13) 1. Total – Private Households by core housing need status 2. Households below one standard only...

United States Months of Supply: Single Family: Ontario, OR data was reported at 0.800 Month in Jul 2020. This records an increase from the previous number of 0.500 Month for Jun 2020. United States Months of Supply: Single Family: Ontario, OR data is updated monthly, averaging 4.750 Month from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 13.300 Month in Feb 2014 and a record low of 0.500 Month in Jun 2020. United States Months of Supply: Single Family: Ontario, OR data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB029: Months of Supply: by Metropolitan Areas.

Graph and download economic data for Resident Population in Riverside-San Bernardino-Ontario, CA (MSA) (RSBPOP) from 2000 to 2024 about Riverside, residents, CA, population, and USA.