Home Ownership Rate in Canada decreased to 66.70 percent in 2023 from 69.30 percent in 2021. This dataset provides the latest reported value for - Canada Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In the presented European countries, the homeownership rate extended from 42.6 percent in Switzerland to as much as 95.9 percent in Albania. Countries with more mature rental markets, such as France, Germany, the UK, and Switzerland, tended to have a lower homeownership rate compared to the frontier countries, such as Lithuania or Slovakia. The share of house owners among the population of all 20 euro area countries stood at 64.5 percent in 2024. Average cost of housing Countries with lower homeownership rates tend to have higher house prices. In 2024, the average transaction price for a house was notably higher in Western and Northern Europe than in Eastern and Southern Europe. In Austria, one of the most expensive European countries to buy a new dwelling in, the average price was three times higher than in Greece. Looking at house price growth, however, the most expensive markets recorded slower house price growth compared to the mid-priced markets. Housing supply With population numbers rising across Europe, the need for affordable housing continues. In 2024, European countries completed between one and six housing units per 1,000 citizens, with Ireland, Poland, and Denmark responsible for heading the ranking. One of the major challenges for supplying the market with more affordable homes is the rising construction costs. In 2021 and 2022, housing construction costs escalated dramatically due to soaring inflation, which has had a significant effect on new supply.

This statistic shows the homeownership rate in Toronto and Vancouver in 2018. In 2018, the homeownership rate in Toronto reached ** percent, which is one percent less than the Canada average.

Residential property estimates by geography, property type, period of construction and residency participation.

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).

Dataset Description: Vancouver Housing Data

The data folder contains structured property information extracted from real estate listings. It includes CSV files where each row represents a property with details such as price, location, size, number of bedrooms and bathrooms, and additional features like heating, cooling, and garage availability. This folder serves as the primary storage for processed real estate data, which can be used for market analysis, pricing trends, and investment insights.

Data Source

Website: Remax Canada Date: February 16th, 2025

Tools & Technologies Used

• requests: Fetches web pages containing housing data
• BeautifulSoup: Parses HTML to extract required information
• pandas: Stores, processes, and exports structured data
• numpy: Handles missing values and numerical processing
• tqdm: Provides a progress bar for tracking the scraping process
• concurrent.futures.ThreadPoolExecutor: Enables parallel requests for faster data collection

Features Collected

• Address Details: streetAddress, addressLocality, addressRegion, postalCode
• Geolocation: latitude, longitude
• Property Description: description
• Pricing Information: price, priceCurrency
• General Property Attributes: Beds, baths, square footage
• Additional Property Features: Heating, cooling, lot size, garage, year built, etc.

Potential Applications

Real Estate Market Analysis: Price trends, demand, and supply insights. Investment Decisions: Identifying profitable locations. Property Feature Analysis: Understanding what factors influence pricing.

This statistic shows the household penetration rate of central air conditioners in Canada in 2015 and 2017. The central air conditioner home ownership rate in Canada stood at ** percent in 2017, a **** percent increase from two years earlier.

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.

Data on the number of residential property owners and the total assessment value of the properties they owned by ownership type, residency status and number of properties owned. The table also includes data on the number of resident buyers of properties sold in a market and a non-market sale, during the previous reference period, and data on the sale price of those properties sold in a market sale.

According to the 2006 Census, 68% of households owned their home up from 66% in 2001. In 2006, households in the Atlantic provinces continued to have the highest homeownership rates in the country, with Newfoundland and Labrador ranking first, at 78.7%. Households in Quebec had the lowest, at 60.1%. The map shows the percentage of households in each census division that own their dwelling.

Housing stock in units is an economic estimate of the number of housing units in Canada, the provinces and territories by institutional sector, dwelling occupation, dwelling type, and tenure type. These data are used to estimate gross domestic product by income and expenditure. The units are benchmarked to dwelling data from the census at the national, provincial and territorial levels. Dwelling type and tenure type are also aligned with census data.

In 2018, seven in ten private households lived in a dwelling they owned in Canada. LGBTQIA+ households, on the other hand, were only ** percent homeowners, and for most homeowners had a mortgage to repay. In addition, *** percent of LGBTQIA+ households lived in subsidized housing, *** percentage points more than the rest of Canadian households. According to StatCan, the Canadian statistical institute, the LGBTQ2+ population is relatively young: people aged 15 to 24 make up ** percent of the LGBTQ2+ population, compared to ** percent of the non-LGBTQ2+ population. This would contribute to lower rates of homeownership among LGBTQ2+ households compared to all households, as homeownership rates tend, on average, to increase in older age groups.

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...

Long-term projections for the total number of households in Canada, the provinces and territories up to the year 2036. Organized by type of tenure and rate of homeownership. These tables give housing professionals and researchers a look at the possible future of housing in Canada.

Population in private households living in affordable housing and average total household income adjusted for the number of persons, by visible minority and selected characteristics (gender, age group, first official language spoken, immigrant status, period of immigration, generation status and highest certificate, degree or diploma).

This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Newfoundland and Labrador; Prince Edward Island; Atlantic provinces ...), Housing estimates (3 items: Housing starts; Housing under construction; Housing completions ...), Type of unit (6 items: Total units; Multiples; Single-detached; Semi-detached ...), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted at annual rates ...).

Graph and download economic data for Consumer Price Index: Housing for Canada (CANCPIHOUQINMEI) from Q2 1957 to Q1 2018 about Canada, CPI, housing, price index, indexes, and price.

This dataset provides a comprehensive overview of new housing price indexes in Canada. The data is sourced from a reliable statistical survey, offering a detailed breakdown of housing prices across different components such as total house and land, house only, and land only. The dataset is structured to include key metrics such as geographical location, price index classification, and specific price values, providing a robust foundation for analyzing housing price dynamics within the country.

Key Features

• Price Index Metrics: The dataset includes price indexes for total house and land, house only, and land only, providing a complete picture of housing price dynamics across different components.
• Geographical Focus: Data is specific to Canada, providing insights into national housing price trends and patterns.
• Unit of Measurement: Information is presented in index units (201612=100), allowing for straightforward analysis and comparison.
• Temporal Precision: The data is time-stamped for January 1981, ensuring relevance and accuracy for temporal analysis.

Potential Uses

• Real Estate Market Analysis: Assist in understanding the housing price dynamics in Canada, which is crucial for real estate market forecasting and planning.
• Investment Decisions: Provide insights into optimal investment strategies for real estate in various regions.
• Economic Policy: Support policymakers in monitoring and ensuring compliance with housing market trends and economic standards.
• Market-Specific Insights: Evaluate the impact of housing price trends on specific regions and potential growth or decline areas.
• Strategic Planning: Inform strategic planning for real estate developers and policymakers by providing a clear snapshot of current housing price levels and trends.

Approximately 66% of households in Canada own their home, compared to approximately 34% of households that rent their dwelling. The highest provincial ownership rates were in Newfoundland and Labrador (78%) and the lowest in Quebec (58%). Nunavut at 24% has the lowest ownership rates in the country as more than the half of the dwellings are public housing. Home ownership is less in the larger metropolitan areas than in rural and smaller centres. Dwelling refers only to owner-occupied private dwellings, which do not include dwellings situated on farms, but can include owner-occupied dwellings situated on rented or leased land or part of a condominium. The map shows the percentage of households in each census division that rent their dwelling.

Core housing need, by tenure including first-time homebuyer and social and affordable housing status, Canada, provinces, populations centres, select census metropolitan areas (CMAs) and census agglomerations (CAs).