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 530,000 Canadian dollars, whereas in British Columbia and Ontario, it exceeded 800,000 Canadian dollars. The most affordable province to buy a home was Newfoundland, where the average home cost about 319,634 Canadian dollars.

The average resale house price in Canada was forecast to reach nearly 836,000 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 1.2 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 1.9 million Canadian dollars in 2024.

The house price for Ontario is forecast to increase slightly in 2024, after declining by six percent in 2023. From roughly 872,312 Canadian dollars, the average house price in Canada's second most expensive province for housing is expected to rise to 876,410 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 2021 came to 100,000 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.

The average Canadian house price declined slightly in 2023, after four years of consecutive growth. The average house price stood at 678,282 Canadian dollars in 2023 and was forecast to reach 746,379 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 443,511 units sold, the annual number of home sales in the country is expected to rise to 453,704 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.

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).

Average House Prices in Canada decreased to 712400 CAD in February from 718500 CAD in January of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

This table contains 516 series, with data for years 1996 - 1996 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (173 items: Canada; Newfoundland and Labrador; Health and Community Services St. John's Region, Newfoundland and Labrador; Health and Community Services Eastern Region, Newfoundland and Labrador; ...);  Occupancy status (3 items: Total, households; Renters; Owners).

Graph and download economic data for Real Residential Property Prices for Canada (QCAR628BIS) from Q1 1970 to Q3 2024 about Canada, residential, HPI, housing, real, price index, indexes, and price.

The average price for a house in Quebec stood at approximately 522,828 Canadian dollars in 2024 and was set to increase slightly in the next two years. In 2025, the average price is forecast to reach 566,620 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 nine million people in 2023. It is the second most populated province in Canada, and the second-largest by land size, as it is three 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.

This table contains 204 series, with data for years 1981 - 2010 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (34 items: Canada; Newfoundland and Labrador; St. John's; Newfoundland and Labrador; Atlantic Region ...), New housing price indexes (3 items: Total (house and land);House only; Land only ...), Index base period (2 items: 1992=100;1997=100 ...).

Canada House Price Index: New Housing: Prairie Region: Saskatoon data was reported at 108.800 Dec2016=100 in Jan 2025. This records an increase from the previous number of 108.100 Dec2016=100 for Dec 2024. Canada House Price Index: New Housing: Prairie Region: Saskatoon data is updated monthly, averaging 48.200 Dec2016=100 from Jan 1981 (Median) to Jan 2025, with 529 observations. The data reached an all-time high of 109.500 Dec2016=100 in Oct 2022 and a record low of 33.000 Dec2016=100 in Feb 1981. Canada House Price Index: New Housing: Prairie Region: Saskatoon data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.EB003: House Price Index: Dec2016=100.

The average price for a house in Quebec stood at approximately 487,000 Canadian dollars in 2023 and was set to increase slightly in the next two years. In 2025, the average price is forecast to reach 512,000 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 nine million people in 2022. It is the second most populated province in Canada, and the second-largest by land size, as it is three 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 2022. 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.

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 ...).

The average house price in Nova Scotia in 2024 stood at approximately 447,800 Canadian dollars. In the next year, house prices are forecast to further increase by about five percent. Compared to other provinces, Nova Scotia ranked below the national average in terms of house prices. However, the average price of a house in Nova Scotia was twice lower than in Ontario or British Columbia. Exploding population growth in recent yearsNova Scotia is the second-smallest province after Prince Edward Island, and had a population of just under one million in 2018. The population of this province was relatively steady between 2000 and 2015, but has taken off since then. This sudden growth may be a factor in the increasing house prices, as demand also increases due to the greater number of residents looking for homes. The future of housing affordability in Nova ScotiaHalifax, the provincial capital, had an affordable housing market as of 2018, with mortgage payments only constituting about 30 percent of average household incomes. The number of housing starts in the region has increased in the past few years, which also suggests an increase in demand. Only time will tell whether this will ensure a sufficient supply of homes for the region in response to its growing population.

This table contains data described by the following dimensions (Not all combinations are available): Geography (37 items: Census metropolitan areas; Saguenay; Quebec; Calgary; Alberta; Edmonton; Alberta ...).

Housing starts, all 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 Manitoba in 2024 stood at 369,297 Canadian dollars. In the next two years, the house prices in the province are forecast to rise slightly, reaching 382,908 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.

For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This dataset includes 18 tables which draw upon data from the 2006 Census of Canada. The tables are a custom order and contains data pertaining to core housing need and characteristics of households. 16 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 14 for all census subdivisions (CSD) across Canada. The last two tables 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 variables 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 variables 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 variables: 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. Variables: Housing indicators in Core Housing Universe (3) 1. Total - Private Households by core housing need status 2. Households examined for core housing need 3. Households in core housing need Tenure Including Presence of Mortgage and Subsidized Housing; Household size (11) 1. Total - Household tenure and mortgage status 2. Owners 3. With mortgage 4. Without mortgage 5. Renters 6. Total - Household size 7. 1 person 8. 2 persons 9. 3 persons 10. 4 persons 11. 5 or more persons 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 over 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 AMHI 15. Households with shelter cost 2.1% to 3% of AMHI 16. Households with shelter cost 3.1% or over of AMHI 17. Total – Private households by shelter cost proportion to AMHI_2 18. Households with shelter cost 0.75% or under of AMHI 19. Households with shelter cost 0.76% to 1.5% of AMHI 20. Households with shelter cost greater than or equal to 1.6% of AMHI Selected characteristics of the households (47) 1.Total - Household type 2. Census-family households 3. One-census-famil... Visit https://dataone.org/datasets/sha256%3A44c22cbcd4710b7ad7117be69647a937aa1b26bdd163ef81f0f4d5ebeb3dfa23 for complete metadata about this dataset.

This table contains data described by the following dimensions (Not all combinations are available): Geography (39 items: All census agglomerations 50,000 and over; Barrie; Ontario; Belleville; Ontario; Abbotsford-Mission; British Columbia ...).