Estimates of the number of dwellings in Wales by tenure and for each local authority, as at 31 March each year.

Tenure estimates for dwellings at the local authority district level in England for 2022 and 2023. These data are produced using the Structure Preserving Estimator (SPREE) method.

The number of dwellings in the UK, and dwelling stock data by tenure for the UK’s constituent countries, where available.

In the December quarter of 2024, the number of residential dwellings in Australia reached a peak of around 11.29 million, rising by around 53,200 dwellings from the previous quarter. During the examined period, Australia's residential dwelling stock increased uniformly.

Gives the number of homes in England, down to district level, and draws on a range of sources to compile the tenure profile of the stock.

Source agency: Communities and Local Government

Designation: National Statistics

Language: English

Alternative title: Housing Stock, England

The number and percentage of dwellings by tenure, for local authorities in England and Wales, using an alternative method. These research outputs are not official statistics on dwelling stock by tenure. These outputs must not be reproduced without this disclaimer.

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.

The Spanish housing stock increased notably over the last decade, with an estimated growth of *** thousands dwellings compared to 2009. The housing stock has been estimated at approximately **** million dwellings in 2019.

Western Australia: Average Bedrooms Per Dwelling data was reported at 3.300 Unit in 2020. This records a decrease from the previous number of 3.400 Unit for 2018. Western Australia: Average Bedrooms Per Dwelling data is updated yearly, averaging 3.250 Unit from Dec 1995 (Median) to 2020, with 16 observations. The data reached an all-time high of 3.400 Unit in 2018 and a record low of 3.060 Unit in 1995. Western Australia: Average Bedrooms Per Dwelling data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.EB004: Housing Stock.

Annual Housing Unit Estimates for the United States, States, and Counties: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // Note: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 housing units due to the Count Question Resolution program and geographic program revisions // Each year, the Census Bureau's Population and Housing Unit Estimates Program utilizes current data on new residential construction, placements of manufactured housing, and housing unit loss to calculate change in the housing stock since the most recent decennial census, and produces a time series of housing unit estimates. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html.

Data post-1991 is available on the website - the data is not directly comparable to this dataset due to definitional issues with the census figures. Housing Stock from 1970 to 1991 does not include vacant habitable residential dwellings. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change.

This dataset presents a range of data items sourced from a wide variety of collections, both Australian Bureau of Statistics (ABS) and non-ABS. The data is derived from the November 2024 release of Data by region. Individual data items present the latest reference year data available on Data by region. This layer presents data by Statistical Areas Level 2 (SA2), 2021.

The Economy and industry theme is based on groupings of data within Data by region. Concepts, sources and methods for each dataset can be found on the Data by region methodology page.

The Economy and industry theme includes:

Number of businesses Counts of Australian businesses, including entries and exits Building approvals Residential property prices Agricultural commodities Gross value of agricultural production Registered motor vehicles Industry of employment (Census)
Estimated dwelling stock

When analysing these statistics:

Time periods, definitions, methodologies, scope, and coverage can differ across collections.
Some data values have been randomly adjusted or suppressed to avoid the release of confidential data, this means

    some small cells have been randomly set to zero
    care should be taken when interpreting cells with small numbers or zeros.

Data and geography references

Source data publication: Data by region Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Data by region methodology, reference period 2011-24 Source: Australian Bureau of Statistics (ABS)

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Australia: Residential Dwellings: Values, Mean Price and Number by State and Territories Provides estimates of changes in residential property prices in each of the eight capital cities of Australia and related statistics. The information is presented in the form of price indexes for established houses and attached dwellings as well as an aggregated residential property price index. Estimates relating to the total value of the dwelling stock, transfer counts and medians are also provided.

The GLA Demography Team offers a bespoke population projection service to London local authorities. Boroughs can request population projections based on their own choice of assumptions about future housing delivery. These assumptions are submitted to the team via a standard template. The resulting projections are referred to as the Borough Preferred Option (or BPO) and are commonly used to help support local planning and service delivery. The GLA does not make the BPO projections and submitted housing trajectories publicly available or share them with anyone other than the commissioning borough. Boroughs wishing to publish BPO projections themselves are free to do so. This service is offered as an optional, free of charge service to London authorities, and is intended to provide users with an alternative to the standard projections that the GLA publishes on the London Datastore. Access to outputs The BPO projections are shared with users via private pages on the London Datastore. These pages include all outputs produced under the service since 2019. To access outputs, users must have a current Datastore account linked to their local government email address and contact the Demography Team to request permissions be granted for the individual pages relating to their local authority. Notes on completing the development data template What periods do the year labels in the template refer to? The year labels in the template nominally refer to periods ending in the middle of that year (i.e. 2025 refers to the 12 month period ending June 30th 2025). However, development data is often readily available only for financial years and it is common to submit data on this basis, with financial year 2024/25 aligning with 2025 in the template. Development trajectory The cells in the template represent annual net changes in the number of dwellings. The current template covers the period 2012-2041 and are pre-populated with estimated annual net dwelling changes for the period 2012-2019, based on modelling of data from the London Development Database. For the 2022-based and subsequent projections, dwelling stock estimates are anchored to the results of the 2021 Census and it is not essential to include data for dwelling stock changes that occured prior to this point (i.e. up to and including '2021'). Past development data from 2022 up to the base year of the projections, affects the projected population in all future years as dwelling stock in the base year is used in the estimation of relationships between housing and population in the model. We are not yet able to pre-populate templates with estimated dwelling changes for years after 2019. In future rounds of projections we intend to incorporate data from the Planning Data Hub. Blank cells are treated as missing rather than no change, and data based on the 2017 Strategic Housing Land Availability Assessment (SHLAA) will be substituted in its place. To indicate no net change in dwellings in a ward in a particular year, users must explicitly enter a zero in the relevant cell. Self-contained and Non-self-contained development Self-contained development should be used for standard residential development (e.g. new build/conversion). Non-self-contained development should be used for development such as student accommodation. This should be added to the template as the equivalent of self-contained units (i.e. a ratio of non-self-contained to self-contained should be applied). The London Plan ratios are: · 2.5:1 for student housing · 1:1 for housing for older people (C2) · 1.8:1 for all other non-self-contained housing Requesting projections based on multiple different housing scenarios While we are willing to try and accommodate requests for multiple sets of projections, capacity in the team is limited and there is no guarantee that we will be able to do so in a timely manner. Please do not Add rows or columns to the template Change ward names or codes Include formulas or new formatting Add notes or comments to the template Return data in a different version of the template to those included here Please return completed templates to: demography@london.gov.uk

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Graph and download economic data for Housing Inventory Estimate: Total Housing Units in the United States (ETOTALUSQ176N) from Q2 2000 to Q2 2025 about inventories, housing, and USA.