Canadians aged 18 to 34 were most likely to plan a home purchase in the next 12 months, according to the results of a survey conducted in January 2023. Approximately 10 percent of the respondents in this age group planned to buy a home in the next year, whereas in the 35 to 44 age group, this share was six percent. The source adds that the average for the country was 43 percent, meaning that 43 percent of Canadians wanted to make a home purchase in the next five years.

About two in three Canadians lived in an owner-occupied home in 2022. Since 2017, the home ownership rate in Canada has fluctuated and in 2019, it peaked at approximately 68.6 percent. In 2022, this figure was slightly lower, at 66.5 percent.

Data on resident owners who are persons occupying one of their residential properties: sex, age, total income, the type and the assessment value of the owner-occupied property, as well as the number and the total assessment value of residential properties owned.

Data on resident buyers who are persons that purchased a residential property in a market sale and filed their T1 tax return form: number of and incomes of residential property buyers, sale price, price-to-income ratio by the number of buyers as part of a sale, age groups, first-time home buyer status, buyer characteristics (sex, family type, immigration status, period of immigration, admission category).

This statistic shows the leading reasons for house renovation among homeowners in Canada in 2014, by age group. During the survey, 52 percent of the respondents aged 25 to 34 years answered that they had purchased a home recently and wanted to customize it.

By Buyer Type:In 2023, first-time buyers dominate Canada's residential real estate market due to government incentives like tax credits and lower mortgage rates aimed at making homeownership more accessible. Additionally, millennials reaching prime home-buying age and seeking stability and investment opportunities contribute significantly to the surge in demand among this buyer segment. By Property Type:In 2023, condominiums dominate Canada's residential real estate market due to their affordability, especially in urban centers, and the increasing preference for low-maintenance living. With urbanization, more young professionals and downsizing retirees are opting for condos, which offer amenities, security, and proximity to workplaces and services, making them a highly attractive housing option. The Canada Residential Real Estate market can be segmented based on various factors. Here are three key segmentation types with their sub-segments and estimated market share ranges: Canada Residential Real Estate Market Segmentation The urban housing segment is dominant, driven by the high demand for residential properties in major cities. Toronto and Vancouver account for over 60% of total market transactions, fueled by their economic opportunities and amenities.

This statistic shows the share of homeowners who renovated their home in Canada in 2015, by age group. During the survey, 10 percent of the respondents aged 25 to 34 years answered that they had renovated their homes in 2015.

Family characteristics of seniors by housing indicators for Canada, provinces and territories, census metropolitan areas and census agglomerations. Includes age of seniors, tenure including presence of mortgage payments and subsidized housing, condominium status, value (owner-estimated) of dwelling and number of bedrooms.

This dataset includes Statistics Canada table 46-10-0045-01, titled “Housing characteristics, by tenure including first-time homebuyer status”. The table includes information on selected housing characteristics (difficulty meeting financial needs, visible minority status, household type, age group, and employment status) housing by tenure. The tenure category of 'owner' is split up into first-time home buyers and owner who is not a first-time home buyer.

The table has been edited to include only geographies from British Columbia. The table is available in CSV and Excel Workbook format. Definitions and notes are included at the bottom of the spreadsheet.

This data set was collected as part of the Canadian Housing Survey by Statistics Canada.

Geographies:
British Columbia, Large urban population centres in British Columbia, Medium population centres in British Columbia, Small population centres in British Columbia, Rural areas in British Columbia, Vancouver CMA, Other census metropolitan areas in British Columbia, Census agglomerations in British Columbia

In 2018, seven in ten private households lived in a dwelling they owned in Canada. LGBTQIA+ households, on the other hand, were only 46 percent homeowners, and for most homeowners had a mortgage to repay. In addition, six percent of LGBTQIA+ households lived in subsidized housing, two 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 30 percent of the LGBTQ2+ population, compared to 14 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.

Data on the income, age, sex, employment status and marital status of residential property owners and other tax filers who do not own property, for the provinces of Nova Scotia, Ontario and British Columbia, their census metropolitan areas and associated census subdivisions.

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.

The total number and percentage of private enterprises owned by men or women, by age group of primary owner and enterprise size.

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.

In the presented European countries, the homeownership rate extended from 42 percent in Switzerland to as much as 96 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 27 European countries has remained relatively stable over the past few years. Average cost of housing Countries with lower homeownership rates tend to have higher house prices. In 2023, 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 2023, European countries completed between one and six housing units per 1,000 citizens, with Ireland, Poland, and Denmark responsible 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.

Data on the income, home buyer's amount claimant status, age, sex, employment status and marital status of residential property owners, for the provinces of Nova Scotia, Ontario and British Columbia and their census metropolitan areas.

Data on total family income and characteristics of resident owners who are persons occupying one of their residential properties and filed their T1 tax return form: sex, age, family type and size, employment status, claimant status of the home buyers' amount for the purchase of a home and the total assessment value of residential properties owned.

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...

Annual counts of enterprises by age of owner (younger than 30 years, 30 to 39 years, 40 to 49 years, etc.) for Canada, provinces and the territories.

This table presents the total number and percentage of private enterprises by sex and Indigenous identity of ownership, age group of primary owner and enterprise size.