House prices in British Columbia and Ontario were notably higher than any other province in Canada in 2024. The average house price in any other province was less than ******* Canadian dollars, whereas in British Columbia and Ontario, it exceeded ******* Canadian dollars. The most affordable province to buy a home was Newfoundland, where the average home cost about ******* Canadian dollars.

The average resale house price in Canada was forecast to reach nearly ******* Canadian dollars in 2026, according to a January forecast. In 2024, house prices increased after falling for the first time since 2019. One of the reasons for the price correction was the notable drop in transaction activity. Housing transactions picked up in 2024 and are expected to continue to grow until 2026. British Columbia, which is the most expensive province for housing, is projected to see the average house price reach *** million Canadian dollars in 2026. Affordability in Vancouver Vancouver is the most populous city in British Columbia and is also infamously expensive for housing. In 2023, the city topped the ranking for least affordable housing market in Canada, with the average homeownership cost outweighing the average household income. There are a multitude of reasons for this, but most residents believe that foreigners investing in the market cause the high housing prices. Victoria housing market The capital of British Columbia is Victoria, where housing prices are also very high. The price of a single family home in Victoria's most expensive suburb, Oak Bay was *** million Canadian dollars in 2024.

The average price for a house in Quebec stood at approximately ******* Canadian dollars in 2024 and was set to increase slightly in the next two years. In 2025, the average price is forecast to reach ******* Canadian dollars. Meanwhile, the national average house price was forecast to pick up in 2025. Compared to other provinces, Quebec was the third-most expensive province to buy housing in Canada, after British Columbia and Ontario. Quebec Located on the eastern side of Canada, Quebec had an estimated population of almost **** million people in 2023. It is the second most populated province in Canada, and the second-largest by land size, as it is ***** times the size of Texas. The largest city in Quebec is Montreal, which is close to the Vermont border in the United States. The median total family income in Quebec has been steadily rising since 2000. Housing Prices in Canada Housing prices in Canada vary province to province. The most expensive average house price was in British Columbia in 2024. Vancouver, the most populated city in British Columbia, is known for its high-priced real estate market. However, housing prices all over Canada have increased in the past couple of years.

The house price for Ontario is forecast to decrease by eight percent in 2023, followed by a minor increase of one percent in 2024. From roughly 932,000 Canadian dollars, the average house price in Canada's second most expensive province for housing is expected to fall to 861,000 Canadian dollars in 2024. After British Columbia, Ontario is Canada's most expensive province for housing. Ontario Ontario is the most populated province in Canada, located on the eastern-central side of the country. It is an English speaking province. To the south, it borders American states Minnesota, Michigan, Ohio, Pennsylvania, and New York. Its provincial capital and largest city is Toronto. It is also home to Canada’s national capital, Ottawa. Furthermore, a large part of Ontario’s economy comes from manufacturing, as it is the leading manufacturing province in Canada. The population of Ontario has been steadily increasing since 2000. The population in 2018 was an estimated 14.3 million people. The median total family income in 2016 came to 83,160 Canadian dollars. Ontario housing market The number of housing units sold in Ontario is projected to rise until 2024. Additionally, the average home prices in Ontario have significantly increased since 2007.

New housing price index (NHPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (201612=100).

The house price for Ontario is forecast to increase slightly in 2025, after declining by *** percent in 2023. From roughly ******* Canadian dollars, the average house price in Canada's second most expensive province for housing is expected to rise to ******* Canadian dollars in 2025. After British Columbia, Ontario is Canada's most expensive province for housing. Ontario Ontario is the most populated province in Canada, located on the eastern-central side of the country. It is an English speaking province. To the south, it borders American states Minnesota, Michigan, Ohio, Pennsylvania, and New York. Its provincial capital and largest city is Toronto. It is also home to Canada’s national capital, Ottawa. Furthermore, a large part of Ontario’s economy comes from manufacturing, as it is the leading manufacturing province in Canada. The population of Ontario has been steadily increasing since 2000. The population in 2023 was an estimated **** million people. The median total family income in 2022 came to ******* Canadian dollars. Ontario housing market The number of housing units sold in Ontario is projected to rise until 2025. Additionally, the average home prices in Ontario have significantly increased since 2007.

The average house price in the Canadian province of Manitoba in 2024 stood at ******* Canadian dollars. In the next two years, the house prices in the province are forecast to rise slightly, reaching ******* in 2025. Compared to other provinces, Manitoba was below the average for the country. Manitoba: key factsManitoba is a mid-sized Canadian province in terms of population and located between Saskatchewan, Nunavut and Ontario. However, its population had been trending upward since 2000 and shows no signs of slowing down. This suggests that demand for housing is also on the rise, which may explain the forecasted prices increases in the region. Affordability in ManitobaWeekly earnings of both salaried and hourly employees have also been on the rise in the province since 2001. Although the increase for salaried employees has been larger than for hourly employees. Nonetheless, this means that Manitobans have more money to save for and spend on buying a home. The number of housing starts in the province have varied over the past years.

Housing starts, all rural areas, Canada and provinces, 6-month moving average and seasonally adjusted at annual rates

Shelter cost by tenure including presence of mortgage payments and subsidized housing for Canada, provinces and territories, census metropolitan areas and census agglomerations. Includes shelter-cost-to-income ratio, household total income groups and household type including census family structure, off reserve.

The average house price in the Canadian province of Prince Edward Island stood at ******* Canadian dollars in 2024 and was expected to increase in the next two years. By 2026, the average house price is forecast to reach ******* Canadian dollars. Compared to other provinces in Canada, Prince Edward Island stood below the national average in terms of house prices. Nevertheless, housing was still significantly more expensive than in Newfoundland and New Brunswick. House prices in Canada Prince Edward Island is one of the most affordable Canadian provinces for buying a house, with prices almost half below the national median in 2024. The national figure is somewhat skewed however by the extremely high cost of housing in British Colombia, and, to a lesser extent, Ontario. A better measure of affordability is the provincial house-price-to-income ratio, which shows Prince Edward Island to be the second most affordable province. Global comparison Canada is one of the most expensive countries in the OECD in terms of house-price-to-income ratio. In 2023, Canada scored higher than the United States, the UK, and Korea. That means that the cost of housing has increased at a much higher rate than the average income in the country.

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

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

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.

Note: April 22, 2025: Updates to "CHN by income and HH size_v3". --------------------------------------------------------------------------------------------------------------------------------- Note: April 16, 2025: Updates to the following files have been made on April 9th and 16th: "CHN by income and HH size_v2", "cd_hh_projections_v2", "csd_hh_projections_v2", and "CMAs_all data_v3". --------------------------------------------------------------------------------------------------------------------------------- Note: March 31, 2025 files "Data_Element_1a" & "...1b" updated to v3 to include additional geographies (CDs and PTs) in the calculation of households close to rail transit. --------------------------------------------------------------------------------------------------------------------------------- Note: This dataset as of March 31st, 2025 now contains data on all 12 data elements, including core housing need among "gender diverse" households (formerly called "2SLGBTQ+" households) in table "Data_Element_ 3". That table (i.e. Data_Element_3) now also includes core housing need data on those priority populations reported in HART's HNA Tool. Two other outputs were migrated from that HNA Tool into this Federal HNA Template dataset: Income Categories and Affordable Shelter Costs, Percentage of Households in Core Housing Need by Income Category and Household Size, and 2021 Affordable Housing Deficit. (HICC Section 3.6), and Projected Households by Household Size and Income Category (HICC Section 6.1.1) This Borealis dataset has been updated accordingly to include that data: "AMHI.csv" (2021 AMHI and dollar ranges of income and shelter cost categories) "cd_hh_projections.csv" (Projected households in 2031 for CDs) "csd_hh_projections.csv" (Projected households in 2031 for CSDs) "CHN by income and HH size.csv" (2021 core housing need by income and household size) The geographical scope of the dataset has also been expanded. Before March 31st, only CSDs were included. As of March 31st, data on CDs, provinces/territories, the country of Canada, and CMA/CAs has been added. Not all data is available for all geographies: Data from CMHC's Rental Market Survey and Starts and Completions Survey are reported at the CSD level within CMAs/CAs. Results for provinces/territories/Canada are reported, but data for CDs is not. Since these surveys may not include all CSDs within a given CD, we have not attempted to aggregate this CSD data into CDs. Data from any custom census order by HART does not include CMA/CAs. We are able to aggregate the data by CSD into CMA/CAs, but all income and shelter cost data had been categorized based on the AMHI of the CSD as part of the original order (i.e. whether a household is "Very Low" income or "Low" income depends on the median household income of the CSD that the household lives in). This will lead to some inaccuracy and ambiguity of interpretation for the income or shelter cost data reported for CMAs. Data on "gender diverse" households is only available from Statistics Canada for geographies with a population count greater than 50,000 as of the 2021 census. This represents a total of 239 geographies (incl. Canada and the provinces/territories). Due to the low number of CSDs with this data, we have not attempted to aggregated this to the CMA/CA level. Data for CMAs/CAs will be added to the tool by mid-April 2025, but the source data has been summarized and included in this dataset: "CMAs_all data.csv" (All available data for CMAs and CAs) --------------------------------------------------------------------------------------------------------------------------------- Update (March 14, 2025): Tables "Data_Element_1a" and "...1b" have been updated to exclude some non-rail rapid transit stops that were erroneous included, notably in Winnipeg. --------------------------------------------------------------------------------------------------------------------------------- For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This database was created to accompany the dashboard on HART's website called the "Federal Housing Needs Assessment Template." URL: https://hart.ubc.ca/federal-hna-template/. This dashboard presents housing-related data to help communities complete the Housing Needs Assessment template requested by the Government of Canada as a requirement for certain funding applications. For more information on that template, please visit the Government of Canada's website (https://housing-infrastructure.canada.ca/housing-logement/hna-ebml/template-modele-eng.html). This dataset represents the underlying data used to populate HART's dashboard. The data contains some public and custom data from Canada's Census of Population (author: Statistics Canada), public data from the Canada Mortgage and Housing Corporation (CMHC) regarding it's Rental Market Survey as well as it's Starts and Completions Survey, private...

The average house price in Alberta, Canada in 2024 was approximately ******* Canadian dollars. By 2025, this figure is forecast to reach ******* Canadian dollars. The number of home sales in the province surged in 2021, and in 2025, the annual number of housing transactions is expected to exceed ******. Compared to other provinces, Alberta ranked below the national average, but housing was still more expensive than in New Brunswick and Newfoundland.

Find the latest statistical housing information on market absorptions. Data are organized by: average price of unabsorbed single-detached and semi-detached units absorption detail of multiple units upper limits of price quintiles of absorbed and unabsorbed apartments by home and condo owners average square footage (absorbed and unabsorbed) The data is organized by: Canada provinces census metropolitan areas (CMAs) large census agglomerations (CAs)

The average Canadian house price declined slightly in 2023, after four years of consecutive growth. The average house price stood at ******* Canadian dollars in 2023 and was forecast to reach ******* Canadian dollars by 2026. Home sales on the rise The number of housing units sold is also set to increase over the two-year period. From ******* units sold, the annual number of home sales in the country is expected to rise to ******* in 2025. British Columbia and Ontario have traditionally been housing markets with prices above the Canadian average, and both are set to witness an increase in sales in 2025. How did Canadians feel about the future development of house prices? When it comes to consumer confidence in the performance of the real estate market in the next six months, Canadian consumers in 2024 mostly expected that the market would go up. A slightly lower share of the respondents believed real estate prices would remain the same.

For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This dataset includes 18 tables which draw upon data from the 2016 Census of Canada. The tables are a custom order and contains data pertaining to core housing need and characteristics of households. 17 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 15 for all census subdivisions (CSD) across Canada. The last table contains the median income for all geographies. Statistics Canada used these median incomes as the "area median household income (AMHI)," from which they derived some of the data fields within the Shelter Costs/Household Income dimension. Included alongside the data tables is a guide to HART's housing need assessment methodology. This guide is intended to support independent use of HART's custom data both to allow for transparent verification of our analysis, as well as supporting efforts to utilize the data for analysis beyond what HART did. There are many data fields in the data order that we did not use that may be of value for others. 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, all CDs & Country as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia), all CSDs & each Province as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), all CSDs & each Territory as a whole 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. Universe: Full Universe: Private Households in Non-farm Non-band Off-reserve Occupied Private Dwellings with Income Greater than zero. 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: Note: Certain data fields from the original .ivt files were not included in the .csv extracts. Those data fields have been marked with an asterisk () below. Housing indicators in Core Housing Universe (12) 1. Total - Private Households by core housing need status 2. Households examined for core housing need 3. Households in core housing need 4. Below one standard only* 5. Below affordability standard only* 6. Below adequacy standard only* 7. Below suitability standard only* 8. Below 2 or more standards* 9. Below affordability and suitability* 10. Below affordability and adequacy* 11. Below suitability and adequacy* 12. Below affordability, suitability, and adequacy* Tenure Including Presence of Mortgage and Subsidized Housing; Household size (13) 1. Total - Private households by tenure including presence of mortgage payments and subsidized housing* 2. Owner* 3. With mortgage* 4. Without mortgage* 5. Renter* 6. Subsidized housing* 7. Not subsidized housing* 8. Total - Household size 9. 1 person 10. 2 persons 11. 3 persons 12. 4 persons 13. 5 or more persons household Shelter costs groups/statistics (20) 1. Total – Private households by household income proportion to AMHI_1 2. Households with income 20% or under of area median household income (AMHI) 3. Households with income 21% to 50% of AMHI 4. Households with income 51% to 80% of AMHI 5. Households with income 81% to 120% of AMHI 6. Households with income 121% or more of AMHI 7. Total – Private households by household income proportion to AMHI_2* 8. Households with income 30% and under of AMHI* 9. Households with income 31% to 60% of AMHI* 10. Households with income 61% or more of AMHI* 11. Total – Private households by shelter cost proportion to AMHI_1* 12. Households with shelter cost 0.5% and under of AMHI* 13. Households with shelter cost 0.6% to 1.25% of AMHI* 14. Households with shelter cost 1.26% to 2% of...

This table contains data described by the following dimensions (Not all combinations are available): Geography (247 items: Carbonear; Newfoundland and Labrador; Corner Brook; Newfoundland and Labrador; Grand Falls-Windsor; Newfoundland and Labrador; Gander; Newfoundland and Labrador ...), Type of structure (4 items: Apartment structures of three units and over; Apartment structures of six units and over; Row and apartment structures of three units and over; Row structures of three units and over ...), Type of unit (4 items: Two bedroom units; Three bedroom units; One bedroom units; Bachelor units ...).

Survey of Household Spending (SHS), average household spending, Canada, regions and provinces.