Housing

Description: This publication provides insights on housing data and analysis at Statistics Canada. Readers can access in-depth information on the latest housing data released by the Agency. The series relies on both descriptive and analytical methods to analyze administrative and survey data sets that relate to housing.

Description: This article examines the association between parents' housing wealth and the values of houses owned by their adult children. It also documents parent and child co-ownership arrangements. The article follows a previous article that examined the role that parents' property ownership played in the likelihood of homeownership for children born in the 1990s. These articles use residential property and ownership information from the Canadian Housing Statistics Program for the 2021 reference year for all provinces and territories, except Quebec and Saskatchewan.

Description: Flows and stocks of Canadian residential housing assets. Annual estimates of investment, depreciation, and net stock are available by province and territory, institutional sector, type of asset, type of dwelling, and type of housing (private and social).

Description: The economic contribution as a result of the production of residential housing assets due to investment is presented for valued added, compensation of employees and number of jobs.

Description: Average age and remaining useful service life ratio of Canadian residential housing assets. Annual estimates are available by province and territory, type of asset, and type of dwelling.

Description: The environmental perspective for the Housing Economic Account provides users detailed information on emissions related to residential construction and clean technology involved. The table breaks down greenhouse gas emissions, greenhouse gas emissions per value added, and clean technology input for residential construction for Canada and provinces.

Description: Using data from the Housing Economic Account, this data visualization tool analyzes the flows and stock of residential housing in value, as well as the stock of housing in units. Residential housing flows and stock can be visualized in current and real dollars, by assets (new construction, renovation and transfer cost) and by provinces and territories. In addition, housing flows and stocks can be viewed by sector of activity and type of housing, and the economic impact analysis and social transfers in kind from the public sector are reported.

Description: In collaboration with the Bank of Canada, this research paper focuses on constructing analytical price index series for Canada, using the main owned accommodation measurement concepts proposed by the International Consumer Price Index Manual and adopted by other countries. This analysis explores these alternative treatments of owned accommodation in the Canadian context, examining their impact on the all-items Consumer Price Index. Additionally, it provides an explanation for the gap between perceived inflation and estimated inflation.

Description: Barriers to important milestones and traditional adulthood transitions have intensified in Canada. Sustained food inflation, elevated housing prices, and increasingly unaffordable rental costs across much of the country are casting a shadow over the middle-class dream for many households—and, in particular, for young families. This article provides an overview of household balance sheets and key financial metrics for young families as they adjust to current market conditions and begin to build financial resilience.

Description: The Rural Canada Housing Profiles (RCHP) 2022 provides tables on housing in rural Canada. The tables were developed using data from several Statistics Canada programs: Canadian Housing Statistics Program (2021), Building Permits (2022) and Investment in Building Construction (2022). Information such as structure type (single or multiple residential property), year of construction, size of the building, and construction intentions (building permits issued by municipalities, number of units / value of the building) were used to provide a broader picture of housing stocks, flows and investments in rural and small town communities. The final output is five data tables (residential building permits; investment in residential building construction; residential property characteristics); occupied private dwelling characteristics; and private household characteristics).

Data are organized geographically at the following levels (where applicable): Canada, provinces or territories, census subdivisions (CSD), and Rural and Small Town (RST) or urban areas of Canada. A CSD is considered to be 'Rural and Small Town (RST)' in the RCHP if it is outside of census metropolitan areas and census agglomerations (CMA/CA); otherwise, it is considered to be 'Urban'.

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This table contains data described by the following dimensions (Not all combinations are available): Geography (20 items: Canada; Atlantic provinces; Prince Edward Island; Newfoundland and Labrador ...).

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This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...).

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This table contains data described by the following dimensions (Not all combinations are available): Geography (37 items: Census metropolitan areas; Abbotsford-Mission, British Columbia; Barrie, Ontario; Brantford, Ontario; ...);  Completed dwelling units (2 items: Absorptions; Unabsorbed inventory);  Type of dwelling unit (3 items: Total units; Single detached units; Semi-detached units).

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This table contains data described by the following dimensions (Not all combinations are available): Geography (38 items: All census agglomerations 50;000 and over; Barrie; Ontario; Belleville; Ontario; Abbotsford-Mission; British Columbia ...), Completed dwelling units (2 items: Absorptions; Unabsorbed inventory ...), Type of dwelling unit (3 items: Total units; Single detached units; Semi-detached units ...).

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This table contains data described by the following dimensions (Not all combinations are available): Geography (67 items: Barrie; Ontario; Abbotsford-Mission; British Columbia; Census metropolitan areas and census agglomerations of 50,000 and over; Census metropolitan areas ...), Type of unit (7 items: Total units; Single-detached and semi-detached units; Semi-detached units; Single-detached units ...).

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Data on the number of residential property owners by investor status, ownership type, number of properties owned and total income of individual owners who filed their T1 tax return form.

Description: Data on the number of residential properties, their assessment value and their total living area by investment status, ownership type, property type and period of construction.

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This web application provides access to new housing prices data for Canada and 27 census metropolitan areas (CMA). The maps, charts and tables draw from information collected from respondents who provide information on Canada's new housing prices. The interactive dashboard allows users to visualize statistics on new housing prices' monthly and annual movements and on rankings by CMAs of the largest monthly price movements.

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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).

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New housing price index (NHPI). Monthly data are available from February 1981. The table presents month-over-month and year-over-year percentage changes for various aggregation levels. The base period for the index is (201612=100).

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Jerry Situ, Senior analyst presents a brief overview of housing in Canada, 2011 National Household Survey.

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This National Household Survey (NHS) analytical document presents key trends emerging from the analysis of data on homeownership and shelter costs in Canada in 2011. The analysis focuses on various levels of geography including Canada, provinces and territories, and some census metropolitan areas (CMAs).

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This paper examines why rates of homeownership have been increasing amongst young higher-income households, but declining among young lower-income households. For the period from 1981 to 2006, household data from the Census of Population, supplemented with information from the Survey of Financial Security, are employed to model the decision to own across the income distribution. The model assesses whether housing market conditions (e.g., the cost of renting versus owning), the financial condition of households (e.g., whether the household has sufficient wealth to make a standard down payment), and demographic factors (e.g., changing family composition) account for these diverging trends in housing demand.

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These short analytical articles provide complementary analysis to the 2011 Census analytical document. These articles allow for a more in-depth look to relevant topics related to the Canadian population. The four articles linked to the families, households and marital status release and the structural type of dwelling and collectives release are entitled 'Fifty years of families in Canada,' ' Canadian households in 2011: Type and growth,' 'Living arrangements of young adults aged 20 to 29' and 'Living arrangements of seniors.'

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This paper estimates the implicit income generated by the home equity of working-age and retirement-age households. In so doing, it expands our understanding of Canadians' preparation for retirement by taking into account the services that homeowners realize as a result of having invested in their homes. On the basis of both the 2006 Survey of Household Spending and the 2006 Census of Population, we find that housing services make an important contribution to household income. When estimates of the services provided by the equity invested in housing are added to traditional estimates of income, the income of retirement-age households is increased by 9% to 12% for those in the 60-to-69 age class and by 12% to 15% for those in the 70-plus age class. In turn, this additional income reduces the difference in income between working-age and retirement-age households that own their own homes. According to the Survey of Household Spending, net incomes decline by about 45% between the peak household earning years and the 70-plus retirement-age class. This figure is reduced to 42% when the contribution of housing services is taken into account. The Census provides a similar picture: the gap in incomes is 38% when net income alone is considered and 35% when one accounts for housing services.

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Homeownership affects investment, consumption, and savings decisions of households, and plays a major role in post-retirement well-being. This paper examines two questions. First, to what extent do Canadians acquire and retain homeownership at different life-course stages, particularly after retirement? Second, has the age profile of homeownership changed over generations?

Using data from eight Canadian censuses of population, conducted between 1971 and 2006, we find a strong regularity in the age profile of homeownership across generations of Canadians. The homeownership rate rises quickly with the age of household maintainers (i.e., the person(s) who pay(s) for shelter costs) in the period before the age of 40, and continues to climb thereafter at a slower pace until reaching the plateau near age 65, when about three quarters of Canadian households own their homes. We find that the homeownership rate changes little from age 65 to 74 but starts declining after age 75. As well, we note that the level at which homeownership plateaus has risen steadily across birth cohorts since the 1970s.

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A look how age, income and family structure affects homeownership over time.

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Between 1985 and 2006, the percentage of Canadians living in dwellings where someone in the household was the owner gradually increased from about 70% to 78%.

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This report provides information on homeownership and shelter costs in Canada from the 2006 Census. Topics include homeownership, the presence of a mortgage, condominium status, housing life cycle (or housing career), shelter costs and housing affordability. The report looks at the impact on several key groups: households in lower income groups, persons living alone, lone-parent households, seniors, immigrants and recent immigrants. Geographical differences are considered for provinces, territories and selected census metropolitan areas. The 2006 Census data showed that homeownership rose between 2001 and 2006, continuing an upward trend that began in 1991.

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Since shelter is the biggest expenditure most households make, its affordability can have a big impact on their wellbeing. Measuring affordability involves comparing housing costs with a household's ability to meet them. Up to now, affordability has been measured at a particular time. New information enables a first-ever longitudinal review of housing affordability. This article examines the likelihood of spending 30% or more of household income on shelter, how often this occurs and whether it is occasional or persistent.

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The Housing Release and concepts overview provides an overview of the concepts, definitions and key measures used in the 2016 Census of Population Housing release, as well as the products which will be available on release day and later.

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This guide focuses on the following topic: Structural Type of Dwelling and Collectives variables. Provides information that enables users to effectively use, apply and interpret data from the 2016 Census. Each guide contains definitions and explanations on census concepts, talks about changes made to the 2016 Census, data quality and historical comparability, as well as comparison with other data sources. Additional information will be included for specific variables to help general users better understand the concepts and questions used in the census.

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The Type of dwelling Release and concepts overview provides an overview of the concepts, definitions and key measures used in the 2016 Census of Population Type of dwelling release, as well as the products which will be available on release day and later.

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This reference guide provides information that enables users to effectively use, apply and interpret data from the 2011 National Household Survey (NHS). This guide contains definitions and explanations of concepts, classifications, data quality and comparability to other sources. Additional information is included for specific variables to help general users better understand the concepts and questions used in the NHS.

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This guide focuses on the following topic: Structural Type of Dwelling and Collectives variables.

Provides information that enables users to effectively use, apply and interpret data from the 2011 Census. Each guide contains definitions and explanations on census concepts, talks about changes made to the 2011 Census, data quality and historical comparability, as well as comparison with other data sources. Additional information will be included for specific variables to help general users better understand the concepts and questions used in the census.

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This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians)

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This guide focuses on the following variable: Housing and dwelling characteristics.

Provides information that enables users to effectively use, apply and interpret data from the 2006 Census. Each guide contains definitions and explanations on census concepts, data quality and historical comparability. Additional information will be included for specific variables to help general users better understand the concepts and questions used in the census.

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This guide focuses on the following demographic variable: Housing and dwelling characteristics.

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This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

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This report discusses data quality pertaining to household variables (tenure, household maintainer, owner's major payments and gross rent) and dwelling characteristics (structural type of dwelling, number of rooms, number of bedrooms, period of construction, condition of dwelling and value of dwelling). The report also describes the various aspects of data processing that could impact data quality.