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.

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).

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 ** percent of the respondents in this age group planned to buy a home in the next year, whereas in the ** to ** age group, this share was six percent. The source adds that the average for the country was ** percent, meaning that ** 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 **** percent. In 2022, this figure was slightly lower, at **** percent.

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.

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.

This dataset includes one dataset which was custom ordered from Statistics Canada.The table includes information on housing suitability and shelter-cost-to-income ratio by number of bedrooms, housing tenure, age of primary household maintainer, household type, and income quartile ranges for census subdivisions in British Columbia. 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: Non-reserve CSDs in British Columbia - 299 geographies 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. Housing Tenure Including Presence of Mortgage (5) 1. Total – Private non-band non-farm off-reserve households with an income greater than zero by housing tenure 2. Households who own 3. With a mortgage1 4. Without a mortgage 5. Households who rent Notes: 1) Presence of mortgage - Refers to whether the owner households reported mortgage or loan payments for their dwelling. 2015 Before-tax Household Income Quartile Ranges (5) 1. Total – Private households by quartile ranges1, 2, 3 2. Count of households under or at quartile 1 3. Count of households between quartile 1 and quartile 2 (median) (including at quartile 2) 4. Count of households between quartile 2 (median) and quartile 3 (including at quartile 3) 5. Count of households over quartile 3 Notes: 1) A private household will be assigned to a quartile range depending on its CSD-level location and depending on its tenure (owned and rented). Quartile ranges for owned households in a specific CSD are delimited by the 2015 before-tax income quartiles of owned households with an income greater than zero and residing in non-farm off-reserve dwellings in that CSD. Quartile ranges for rented households in a specific CSD are delimited by the 2015 before-tax income quartiles of rented households with an income greater than zero and residing in non-farm off-reserve dwellings in that CSD. 2) For the income quartiles dollar values (the delimiters) please refer to Table 1. 3) Quartiles 1 to 3 are suppressed if the number of actual records used in the calculation (not rounded or weighted) is less than 16. For cases in which the renters’ quartiles or the owners’ quartiles (figures from Table 1) of a CSD are suppressed the CSD is assigned to a quartile range depending on the provincial renters’ or owners’ quartile figures. Number of Bedrooms (Unit Size) (6) 1. Total – Private households by number of bedrooms1 2. 0 bedrooms (Bachelor/Studio) 3. 1 bedroom 4. 2 bedrooms 5. 3 bedrooms 6. 4 bedrooms Note: 1) Dwellings with 5 bedrooms or more included in the total count only. Housing Suitability (6) 1. Total - Housing suitability 2. Suitable 3. Not suitable 4. One bedroom shortfall 5. Two bedroom shortfall 6. Three or more bedroom shortfall Note: 1) 'Housing suitability' refers to whether a private household is living in suitable accommodations according to the National Occupancy Standard (NOS); that is, whether the dwelling has enough bedrooms for the size and composition of the household. A household is deemed to be living in suitable accommodations if its dwelling has enough bedrooms, as calculated using the NOS. 'Housing suitability' assesses the required number of bedrooms for a household based on the age, sex, and relationships among household members. An alternative variable, 'persons per room,' considers all rooms in a private dwelling and the number of household members. Housing suitability and the National Occupancy Standard (NOS) on which it is based were developed by Canada Mortgage and Housing Corporation (CMHC) through consultations with provincial housing agencies. Shelter-cost-to-income-ratio (4) 1. Total – Private non-band non-farm off-reserve households with an income greater than zero 2. Spending less than 30% of households total income on shelter costs 3. Spending 30% or more of households total income on shelter costs 4. Spending 50% or more of households total income on shelter costs Note: 'Shelter-cost-to-income ratio' refers to the proportion of average total income of household which is spent on shelter costs. Household Statistics (8) 1....

Average expected useful life of municipally owned social and affordable housing assets for all provinces and territories, by urban and rural and population size. Average expected useful life values are presented for new assets completed or acquired in 2016. Average expected useful life values are presented in years.

As of the first quarter of 2025, approximately one in four mortgage holders in Canada was between the age of 45 and 54. In comparison, people under the age of 25 with mortgage loan represented just 0.72 percent of the total.

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.

Average expected useful life of provincially, territorially, regionally and municipally owned social and affordable housing assets for all provinces and territories. Values are presented for 2016. Values are presented in years.

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.

The purpose of this study was to understand the relationship between happiness and housing prices in Canada. The happiness data were obtained from the General Social Survey between 2009 and 2013, asking respondents to report overall happiness level by using scale ranging between 1 to 10 points. House Price Indexes at the provincial level were constructed to cover the same period. The relationship between average house price change and average happiness was estimated using Ordinary Least Square and Logistic Regression techniques. Individual's characteristics were used as control variables. The study found that average happiness level is positively and significantly related to the change in housing prices for one group and not for another - for homeowners but not for renters. In addition, individuals with better health are much happier than individuals with poor health. Similarly, individuals with higher income are happier than individuals with less income. The implication of this study is that the government should design attractive policies to encourage homeownerships.

The data on this dashboard is divided into seven sections: demographics, housing pressures, housing supply, experiences of homelessness, shelter demand and occupancy, housing solutions, and the Centralized Wait List. Data for this dashboard was collected from a number of sources, including administrative data from the City of Ottawa, and publicly available data from Statistics Canada and the Canadian Mortgage and Housing Corporation, among other public data sources.Date Created: June 27th 2025 Update Frequency: Annually Last Reviewed: June 27th 2025Accuracy, Completeness, and Known Issues: The Housing Needs Assessment dashboard relies on data from Statistics Canada (Census), Canada Mortgage and Housing Corporation (CMHC), municipal administrative datasets, and local housing market information. Many data points include disaggregation by various demographic characteristics, including household characteristics, housing core need, the Point-in-Time count of people experiencing homelessness, shelter system capacity and demand sourced from the Homeless Individuals and Families Information System (HIFIS), and the Centralized Wait List. Some data points, such as average rent prices and housing stock amounts cannot be further aggregated using demographic characteristics. More information regarding data quality and methodology can be found within the full Housing Needs Assessment report.Attributes: The following data tables have been provided for the dataset, and are organized into themes.Demographics:Population by Age GroupHouseholdsImmigrant PopulationIncomeHousing Pressures:Housing CostsConsumer Price IndexVacancy RateHousing Supply:Housing DevelopmentHousing StockExperiences of Homelessness:Experiences of HomelessnessShelter Demand and Occupancy:Shelter Demand and CapacityShelter Average Length of StayHousing Solutions:Affordable and Supportive Units BuiltRent-Geared-to-Income and Housing BenefitsCentralized Wait List:Clients on Centralized Wait ListNew Centralized Wait List ApplicationsHoused from Centralized WaitlistData Steward: Liam McGuireData Steward Email: liam.mcguire@ottawa.caDepartment or Agency: Community and Social ServicesBranch/Unit: Housing Data, Research and Analytics Unit

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.

Prospective homebuyers in Vancouver, British Columbia, and Toronto, Ontario, needed an annual income of over ******* Canadian dollars in June 2025 to qualify for the average priced home. In Vancouver, this figure was approximately ******* Canadian dollars. British Columbia and Ontario, are Canada's most expensive provinces for housing. According to a January 2025 forecast by the Canadian Real Estate Association (CREA), the housing market is expected to grow in the next two years, which is likely to worsen home affordability.

This dataset includes one table which draws upon data from the 2016 Census of Canada for the Vancouver CMA. The table is a custom order and contains characteristics pertaining to senior's housing. 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 Geography: Province of British Columbia, Vancouver CMA to the CT level Structural Type: -Single detached house -Apartment in a building with five or more stories -Other attached dwellings -Movable dwellings Family Characteristics of Seniors: -Seniors living alone -Seniors living in private households with two or more persons -Living in a couple (married or common-law) -Without a son or daughter present -With a son or daughter present -Not living as a couple, with a son or daughter present -Living with other relative or non-relatives only Tenure: -Owner (with and without mortgage) -Renter -Subsidized housing -Not subsidized housing Total Income: Median and average total income Age of Seniors: 5 year age cohorts starting at 65 and ending at 85 years and over Housing Indicators -Adequacy: Major repairs needed -Suitability: Not suitable -Affordability: 30% or more of household income is spent on shelter costs -Adequacy, suitability or affordability Original file name: CRO0175136_SX.1.ivt

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

Housing conditions of Canadian military families: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts Frequency: Occasional Table: 98-10-0145-01 Release date: 2023-11-15 Geography: Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part, Census agglomeration part Universe: Population aged 17 and over in owner and tenant households with household total income greater than zero in non-reserve, non-farm private households, 2021 Census — 25% Sample data Variable List: Housing indicators (6), Household type of person (10), Tenure including presence of mortgage payments and subsidized housing (7), Structural type of dwelling (10), Age (15D), Gender (3), Military service status (4A) Footnotes: 1 Household type Household type refers to the differentiation of households on the basis of whether they are census family households or non-census-family households. Census family households are those that contain at least one census family. Non-census-family households are either one person living alone or a group of two or more persons who live together but do not constitute a census family. Census family households may be differentiated based on the presence of additional persons (that is, persons not in a census family). 2 Structural type of dwelling 'Structural type' refers to the structural characteristics and/or dwelling configuration, that is, whether the dwelling is a single-detached house, an apartment in a high-rise building, a row house, a mobile home, etc. 3 Age 'Age' refers to the age of a person (or subject) of interest at last birthday (or relative to a specified, well-defined reference date). 4 Gender Gender refers to an individual's personal and social identity as a man, woman or non-binary person (a person who is not exclusively a man or a woman). Gender includes the following concepts: gender identity, which refers to the gender that a person feels internally and individually; gender expression, which refers to the way a person presents their gender, regardless of their gender identity, through body language, aesthetic choices or accessories (e.g., clothes, hairstyle and makeup), which may have traditionally been associated with a specific gender. A person's gender may differ from their sex at birth, and from what is indicated on their current identification or legal documents such as their birth certificate, passport or driver's licence. A person's gender may change over time. Some people may not identify with a specific gender. 5 Given that the non-binary population is small, data aggregation to a two-category gender variable is sometimes necessary to protect the confidentiality of responses provided. In these cases, individuals in the category “non-binary persons” are distributed into the other two gender categories and are denoted by the “+” symbol. 6 Dwelling condition 'Dwelling condition' refers to whether the dwelling is in need of repairs. This does not include desirable remodelling or additions. Housing suitability Housing suitability refers to whether a private household is living in suitable accommodations according to the National Occupancy Standard (NOS); that is, whether the dwelling has enough bedrooms for the size and composition of the household. A household is deemed to be living in suitable accommodations if its dwelling has enough bedrooms, as calculated using the NOS. 'Housing suitability' assesses the required number of bedrooms for a household based on the age, sex, and relationships among household members. An alternative variable, 'persons per room,' considers all rooms in a private dwelling and the number of household members. Housing suitability and the National Occupancy Standard (NOS) on which it is based were developed by Canada Mortgage and Housing Corporation (CMHC) through consultations with provincial housing agencies. Shelter-cost-to-income ratio 'Shelter-cost-to-income ratio' refers to the proportion of average total income of household which is spent on shelter costs. Core housing need Core housing need refers to whether a private household's housing falls below at least one of the indicator thresholds for housing adequacy, affordability or suitability, and would have to spend 30% or more of its total before-tax income to pay the median rent of alternative local housing that is acceptable (attains all three housing indicator thresholds). Housing indicator thresholds are defined as follows: Adequate housing is reported by their residents as not requiring any major repairs. Affordable housing has shelter costs equal to less than 30% of total before-tax household income. Suitable housing has enough bedrooms for the size and composition of resident households according to the National Occupancy Standard (NOS), conceived by the Canada Mortgage and Housing Corporation and provincial and territorial representatives. Only private, non-farm, non-reserve and 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 maintainer aged 15 to 29 attending school are considered not to be in 'core housing need' regardless of their housing circumstances. Attending school is considered a transitional phase, and low incomes earned by student households are viewed as being a temporary condition. 7 Military service status Military service status refers to whether or not the person is currently serving or has previously served in the Canadian military. Military service status is asked of all Canadians aged 17 and older. For the purposes of the 2021 Census, Canadian military service includes service with the Regular Force or Primary Reserve Force as an Officer or Non-Commissioned Member. It does not include service with the Cadets, Cadet Organizations Administration and Training Service (COATS) instructors or the Canadian Rangers. 8 Adequacy, suitability, affordability and core housing need are four housing indicators. The indicator for housing adequacy is the dwelling condition. The indicator for housing suitability (a topic often referred to as crowding) is whether the dwelling has enough bedrooms for the size and composition of the household. The indicator of housing affordability is the proportion of household total income that is spent on shelter costs, also referred to as shelter-cost-to-income ratio. Core housing need refers to whether a private household's housing falls below at least one of the indicator thresholds for housing adequacy, affordability or suitability, and would have to spend 30% or more of its total before-tax income to pay the median rent of alternative local housing that is acceptable (attains all three housing indicator thresholds). 'Dwelling condition' refers to whether the dwelling is in need of repairs. This does not include desirable remodelling or additions. The category 'major repairs needed' includes dwellings needing major repairs such as dwellings with defective plumbing or electrical wiring and dwellings needing structural repairs to walls, floors or ceilings. 'Housing suitability' refers to whether a private household is living in suitable accommodations according to the National Occupancy Standard (NOS); that is, whether the dwelling has enough bedrooms for the size and composition of the household. A household is deemed to be living in suitable accommodations if its dwelling has enough bedrooms, as calculated using the NOS. Housing suitability and the National Occupancy Standard (NOS) on which it is based were developed by Canada Mortgage and Housing Corporation (CMHC) through consultations with provincial housing agencies. The category 'not suitable' includes households where the required number of bedrooms based on the NOS exceeds the reported number of bedrooms in the dwelling. 'Shelter-cost-to-income ratio' refers to the proportion of average total income of household which is spent on shelter costs. The category '30% or more of household income is spent on shelter costs' includes households who spend 30% or more of their average monthly total income on shelter costs. For more information, refer to the Census Dictionary: Dwelling condition; Housing suitability; Shelter-cost-to-income ratio; Core housing need. 9 For more information on the military service status variable, including data quality and comparability with other sources of data, please refer to the Canadian Military Experience Reference Guide, Census of Population, 2021.

Average expected useful life of municipally owned social and affordable housing assets for all provinces and territories, by urban and rural and population size. Average expected useful life values are presented for new assets completed or acquired in 2016. Average expected useful life values are presented in years.