Structural type of dwelling by tenure for Canada, provinces and territories, census metropolitan areas and census agglomerations. Includes household size, number of bedrooms and condominium status.

This statistic shows the distribution of the population in Spain as of 2016, by dwelling type. In that year ** percent of the Spanish population lived in detached houses and **** percent occupied semi-detached houses.

SA2 based data for Tenure and Landlord Type by Dwelling Structure, in Place of Enumeration Profile (PEP), 2016 Census. Count of all occupied private dwellings. Records the structure of private dwellings, describes whether a dwelling is owned, being purchased or rented, and Records the landlord type of rented dwellings. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

In 2023, Japan's inhabited housing stock comprised around 29.3 million detached houses and close to 25 million apartment units, in addition to a smaller number of tenement houses and other housing units. Japan's housing stock, including vacant dwellings, grew by more than two million compared to 2018.

The distribution of the population in Denmark as of 2023, by dwelling type was at 52.8 percent that lived in detached houses, and 33.5 percent occupied flats.

Data on the household size by structural type of dwellings for Canada, provinces and territories, census divisions and census subdivisions.

In 2023, **** percent of resident households in Singapore lived in 4-room apartments of the Housing Development Board (HDB). In that year, the majority of resident households lived in public housing by the HDB, compared to ** percent living in private residential housing.

SA1 based data for Tenure and Landlord Type by Dwelling Structure, in Place of Enumeration Profile (PEP), 2016 Census. Count of all occupied private dwellings. Records the structure of private dwellings, describes whether a dwelling is owned, being purchased or rented, and Records the landlord type of rented dwellings. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

The figures of existing own homes are related to the stock of existing own homes. Besides the price indices, figures are also published about the numbers sold, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices may fluctuate, for example if a small number of a certain type of dwellings are sold. In such cases we recommended using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes.

Data available from: 1st quarter 1995 to 4th quarter 2023

Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.

Changes as of 6 Juny 2024: This table has been discontinued. This table is followed by Existing own homes; purchase prices, price index 2020=100, type of dwelling. See paragraph 3.

From reporting period 2024 quarter 1, the base year of the House Price Index for Existing Dwellings (PBK) will be adjusted from 2015 to 2020. In April 2024, the first figures of this new series will be released. These figures will be available in a new StatLine table. The old series (base year = 2015) can still be consulted via StatLine, but will no longer be updated.

This table contains 405 series, with data for years 1941 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (15 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...) Type of dwelling (3 items: Total singles and multiples; Singles; Multiples) Tenure (9 items: Total net stock; Total net stock, owned; Total net stock, rented; Total vacant dwellings; ...).

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.

This series of cross-tabulations will present a portrait of Canada based on the various census topics including age and sex, marital status, families and households, and language. They will range in complexity and will be available for various levels of geography. A number of the tabulations will be available on each official day of release for each topic, while others will follow several months later. Content various from: A single overview of the country Simple to move complex cross-tabulations Current and previous census data. This is the series of structural type of dwelling and collectives for the population of Canada

GCCSA based data for Tenure and Landlord Type by Dwelling Structure in General Community Profile (GCP), 2016 Census. Count of all occupied private dwellings. Excludes 'Visitors only' and 'Other non-classifiable' households. Records the structure of private dwellings, describes whether a dwelling is owned, being purchased or rented, and Records the landlord type of rented dwellings. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

As of October 2021, single-family dwelling units made up over ** percent of the housing stock in the United States. The size of single-family housing units has steadily risen since the start of the 21st century.

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.

LGA based data for Tenure and Landlord Type by Dwelling Structure, in Place of Enumeration Profile (PEP), 2016 Census. Count of all occupied private dwellings. Records the structure of private dwellings, describes whether a dwelling is owned, being purchased or rented, and Records the landlord type of rented dwellings. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_420d6f98a27c2394708f55fb1169cf70/view

Absorptions and unabsorbed inventory, newly completed dwellings, by type of dwelling unit in census agglomerations of 50,000 and over

Data on structural type of dwelling for occupied private dwellings of Canada, provinces and territories.

Data on structural type of dwelling and household size for occupied private dwellings.