View monthly updates and historical trends for Quebec New Housing Price Index. Source: Statistics Canada. Track economic data with YCharts analytics.

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).

Graph and download economic data for Real Residential Property Prices for Canada (QCAR628BIS) from Q1 1970 to Q2 2025 about Canada, residential, HPI, housing, real, price index, indexes, and price.

View monthly updates and historical trends for Ottawa-Gatineau, Quebec part, ON/QC New Housing Price Index, House Only. Source: Statistics Canada. Track e…

View monthly updates and historical trends for Quebec New Housing Price Index, Land Only. Source: Statistics Canada. Track economic data with YCharts anal…

Canada House Price Index: New Housing: Quebec data was reported at 122.200 2007=100 in Dec 2016. This stayed constant from the previous number of 122.200 2007=100 for Nov 2016. Canada House Price Index: New Housing: Quebec data is updated monthly, averaging 69.350 2007=100 from Jan 1981 (Median) to Dec 2016, with 432 observations. The data reached an all-time high of 123.200 2007=100 in Jan 2015 and a record low of 36.700 2007=100 in Jan 1981. Canada House Price Index: New Housing: Quebec data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.EB006: House Price Index: 2007=100.

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.

Canada House Price Index: Annual: New Housing: Quebec: Montreal data was reported at 152.025 Dec2016=100 in 2024. This records an increase from the previous number of 151.642 Dec2016=100 for 2023. Canada House Price Index: Annual: New Housing: Quebec: Montreal data is updated yearly, averaging 66.754 Dec2016=100 from Dec 1981 (Median) to 2024, with 44 observations. The data reached an all-time high of 152.025 Dec2016=100 in 2024 and a record low of 30.017 Dec2016=100 in 1981. Canada House Price Index: Annual: New Housing: Quebec: Montreal data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.EB004: House Price Index: Dec2016=100: Annual.

Average House Prices in Canada increased to 688800 CAD in October from 687600 CAD in September of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

Canada House Price Index: Annual: New Housing: Quebec: Ottawa-Gatineau data was reported at 115.817 Dec2016=100 in 2024. This records an increase from the previous number of 115.483 Dec2016=100 for 2023. Canada House Price Index: Annual: New Housing: Quebec: Ottawa-Gatineau data is updated yearly, averaging 111.508 Dec2016=100 from Dec 2017 (Median) to 2024, with 8 observations. The data reached an all-time high of 115.900 Dec2016=100 in 2022 and a record low of 100.467 Dec2016=100 in 2017. Canada House Price Index: Annual: New Housing: Quebec: Ottawa-Gatineau data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.EB004: House Price Index: Dec2016=100: Annual.

Canada Construction Price Index: Residential: Single Detached House: Quebec data was reported at 107.500 2023=100 in Mar 2025. This records an increase from the previous number of 105.000 2023=100 for Dec 2024. Canada Construction Price Index: Residential: Single Detached House: Quebec data is updated quarterly, averaging 103.700 2023=100 from Mar 2023 (Median) to Mar 2025, with 9 observations. The data reached an all-time high of 107.500 2023=100 in Mar 2025 and a record low of 98.900 2023=100 in Mar 2023. Canada Construction Price Index: Residential: Single Detached House: Quebec data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.EA011: Construction Price Index: 2023=100.

房屋价格指数：年度：新增住房：魁北克省：渥太华-加蒂诺在12-01-2024达115.817Dec2016=100，相较于12-01-2023的115.483Dec2016=100有所增长。房屋价格指数：年度：新增住房：魁北克省：渥太华-加蒂诺数据按年更新，12-01-2017至12-01-2024期间平均值为111.508Dec2016=100，共8份观测结果。该数据的历史最高值出现于12-01-2022，达115.900Dec2016=100，而历史最低值则出现于12-01-2017，为100.467Dec2016=100。CEIC提供的房屋价格指数：年度：新增住房：魁北克省：渥太华-加蒂诺数据处于定期更新的状态，数据来源于Statistics Canada，数据归类于全球数据库的加拿大 – Table CA.EB004: House Price Index: Dec2016=100: Annual。

View monthly updates and historical trends for Quebec Household Operations Consumer Price Index. from Canada. Source: Statistics Canada. Track economic da…

Monthly indexes and percentage changes for major components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.

The Canada Commercial Real Estate Report is Segmented by Property Type (Offices, Retail, Logistics and More), by Business Model (Rental and Sales), by End Use (Individuals / Households, Corporates & SMEs and More) and by Region (Ontario, Quebec, Alberta and More). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.

Commercial rents services price index (CRSPI) by North American Industry Classification System (NAICS). Monthly data are available from January 2006 for the total index and from January 2019 for all other indexes. The table presents data for the most recent reference period and the last five periods. The base period for the index is (2019=100).

Building construction price indexes (BCPI), percent change, by type of building and construction division. Quarterly data are available from the first quarter of 1982. The table presents quarter-over-quarter and year-over-year percentage changes for various aggregation levels. The base period for the index is (2017=100).

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...

Note: The data release is complete as of August 14th, 2023. 1. (Added April 4th) Canada and Census Divisions = Early April 2023 2. (Added May 1st) Ontario, British Columbia, and Alberta Census Subdivisions (CSDs) = Late April 2023 3a. (Added June 8th) Manitoba and Saskatchewan CSDs 3b. (Added June 12th) Quebec CSDs = June 12th 2023 4. (Added June 30th) Newfoundland and Labrador, Prince Edward Island, New Brunswick, and Nova Scotia CSDs = Early July 2023 5. (Added August 14th) Yukon, Northwest Territories, and Nunavut CSDs = Early August 2023. For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This dataset contains 18 tables which draw upon data from the 2021 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 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 greater than 10 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. Counts of 10 or less are rounded to a base of 10, meaning they will be rounded to either 10 or zero. 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...

Value of farmland and buildings per acre, for Canada and the provinces at July 1 (in dollars).