Dwelling stock estimates: quality report
This report covers the general principles and processes leading up to the production of our statistics.
This file may not be fully accessible.
In this page
What are these statistics?
This statistical release presents estimates of the number of dwellings (including vacant) in Wales and each local authority by tenure.
Policy and operational context
The dwelling stock estimates are used as evidence in policy making by both central and local government. The information provides an estimate of the number of residential dwellings by each tenure type and by local authority, at the end of March each year. The data are used by the Îʶ¦ÓéÀÖ Government, local authorities and other housing organisations to help monitor trends in the overall level of Îʶ¦ÓéÀÖ housing stock, as well as any changes in its tenure distribution over time.
Users and uses
More generally the information is used for:
- monitoring housing trends
- policy development
- advice to Cabinet Secretaries and Ministers
- informing debate in the Senedd Cymru and beyond
- geographic profiling, comparisons and benchmarking
There are also a variety of further users of these statistics including national and local government, other government departments, researchers, academics and students.
Methodology
Estimates of the total number of dwellings are based on data from the population censuses, the latest of which was in March 2021. Estimates from the censuses are updated annually to take account of new house building and demolitions.
2023-24 represents the financial year April 2023 to March 2024.
Figure 1: Calculation of dwelling stock estimates, as at 31 March 2024
Description of Figure 1: An infographic showing the formula used to calculate the dwelling stock estimates as at 31 March 2024.
The breakdown of dwelling stock estimates by tenure is estimated from local authority returns, registered social landlord returns and estimates from the Annual population survey (APS).
Figure 2: Calculation of private sector stock and tenure split, as at 31 March 2024
Description of Figure 2: An infographic showing the formula used to calculate the private sector, privately rented and owner-occupied stock estimates as at 31 March 2024.
Methodological improvement
In 2018-19 we carried out a review of the methodology used to calculate the tenure split of private sector stock. As a result of this review, we introduced a number of methodological improvements:
- switched to using the APS household dataset (as opposed to the APS person dataset)
- applied the APS proportion of privately rented dwellings to the estimate of private sector stock (as opposed to all dwelling stock)
- introduced a three-year smoothing technique to decrease volatility in the APS estimates.
Historical comparisons should be treated with caution owing to the methodological improvements introduced to owner-occupied and privately rented estimates. These improvements have been applied to estimates from 2013 onwards. Please refer to Dwelling Stock Estimates, as at 31 March 2019 for full details of the methodological improvements.
Strengths and limitations of the data
Strengths
- The information is processed and published frequently and in an ordered manner to enable users to see the statistics when they are current and of greatest interest.
- Data is obtained directly from housing providers and undergoes rigorous quality assurance.
- Detailed statistics are provided via our at local authority level
Limitations
- Due to the coronavirus (COVID-19) pandemic, data for registered social landlord stock in 2019-20 has been estimated based on previous trends.
- The information on new house building used in the annual dwelling stock estimates is based on the reports of local authority building inspectors and the National House Building Council (NHBC), which is a private approved inspector (PAI). It does not include information from other private approved inspectors.
- Currently, data from the Annual population survey (APS) is used to calculate an estimate of the number and proportion of private rented dwellings. The APS provides estimates for the private rental sector but it only covers occupied dwellings, therefore no account is taken of vacancy rates in producing the tenure split. The APS is a household survey and therefore also has an associated level of uncertainty.
- The APS has seen a fall in sample sizes over recent years and the statistical uncertainty for estimates has increased. Additionally, the APS has not been reweighted with more up to date population estimates and therefore it does not take account of the significant changes to the size and structure of the population as suggested by the 2021 Census.
Quality
The published figures provided are compiled by professional analysts using the latest available data and applying methods using their professional judgement and analytical skillset. Statistics published by Îʶ¦ÓéÀÖadhere to the Statistical Quality Management Strategy which supplements the Quality pillar of the and the European Statistical System principles of quality for statistical outputs.
Data for the Îʶ¦ÓéÀÖdwelling stock estimate publication is collected by Îʶ¦ÓéÀÖdirectly from local authorities and registered social landlords, as well as extracted from the Annual Population Survey (APS). Both local authorities and registered social landlords’ complete data collection forms based on data stored on their respective IT systems and return the completed forms to Îʶ¦ÓéÀÖvia its secure web data transfer system.
Accuracy
The closeness between an estimated result and the (unknown) true value.
Data sources
This release draws on information from a range of data sources in order to compile a coherent set of statistics on the total number of dwellings and the tenure profile of the stock. The statistical sources used to calculate dwelling stock estimates include:
- , and . Data on the number of dwellings was published March 2023.
- 2023-24 (Îʶ¦ÓéÀÖ Government). Latest data was published January 2025.
- 2023-24 (Îʶ¦ÓéÀÖ Government). Latest data was published January 2025.
- 2023-24 (Îʶ¦ÓéÀÖ Government). Latest data was published September 2024.
- 2023 (Office for National Statistics). The APS household dataset (calculated from the person dataset) was published September 2024. The data is from the calendar year 2023.
The proportion of social housing stock managed by registered social landlords will have been influenced by the large-scale voluntary transfers of local authority stock. All transfers covered 100% of the local authority housing stock. A list of the large-scale voluntary transfers of local authority stock and dates of transfer to registered social landlords are shown below.
Local authority | Date of transfer | Registered social landlord |
---|---|---|
Bridgend | 12 September 2003 | Valleys to Coast |
Rhondda Cynon Taf | 10 December 2007 | RCT Homes |
Monmouthshire | 17 January 2008 | Monmouthshire Housing |
Torfaen | 01 April 2008 | Bron Afon Community Housing |
Conwy | 29 September 2008 | Cartrefi Conwy |
Newport | 09 March 2009 | Newport City Homes |
Merthyr Tydfil | 20 March 2009 | Merthyr Valleys Homes |
Ceredigion | 30 November 2009 | Tai Ceredigion |
Gwynedd | 12 April 2010 | Cartrefi Cymunedol Gwynedd |
Blaenau Gwent | 26 July 2010 | Tai Calon Community Housing |
Neath Port Talbot | 05 March 2011 | NPT Homes |
Description of Table 1: A table showing that the large scale voluntary transfer of local authority stock took place between September 2003 and March 2011.
Typically, there is a degree of uncertainty surrounding the tenure split of private sector stock owing to the nature of the APS dataset. Therefore, estimates in this release have been rounded to the nearest 100.
In order to communicate uncertainty, confidence intervals have been calculated for estimates, as at 31 March 2024 (based on three-year smoothing).
Tenure | Dwelling stock estimate | Lower confidence interval | Upper confidence interval |
---|---|---|---|
Owner-occupied | 1,043,200 | 1,033,700 | 1,052,700 |
Privately rented | 200,700 | 191,200 | 210,300 |
Description of Table 2: A table highlighting that there is a degree of uncertainty surrounding the tenure split of private sector stock. The confidence intervals are relatively narrow for both owner-occupied and privately rented tenures.
To reduce volatility in the APS estimates used to calculate the private sector split, a smoothing technique was introduced in 2019.
Due to the nature of the APS household dataset and to improve the timeliness of data, the previous year’s APS data is used to calculate the latest years figures. This means that for the latest two years of data, the same privately rented dwelling proportion is used to calculate the tenure split for the private sector. The two latest years are smoothed as follows:
0.75* latest available APS data + 0.25 * previous year APS data.
For all other estimates, as at 31 March each year, APS estimates have been smoothed as follows:
0.25 * previous year APS data + 0.5 * current year APS data + 0.25* following year APS data. For example, estimates at 31 March 2022 have been smoothed using 0.25 * 2021 APS data + 0.5 * 2022 APS data + 0.25* 2023 APS data
In applying this three-year smoothing technique, estimates, as at 31 March 2022 and 2023, have been revised to take into account recently published 2023 APS data. Estimates, as at 31 March 2023 and 2024, are currently provisional and will be subject to revision when 2024 APS data becomes available.
Revisions
Small revisions are made annually to estimates of owner-occupied and privately rented stock as more recent APS data is made available. For 2022, the revised estimate of owner-occupied dwellings in Wales increased by 600 and the number of privately rented dwellings decreased by 600. For 2023, the revised estimate of owner-occupied dwellings in Wales decreased by 400 and the number of privately rented dwellings increased by 300.
Revisions can arise from events such as late returns from a local authority or RSL or when a data supplier notifies the Îʶ¦ÓéÀÖthat they have submitted incorrect information and resubmits this. Occasionally, revisions can occur due to errors in our statistical processes. In all of these cases, a judgement is made as to whether the change is significant enough to publish a revised statistical release.
Where changes are not deemed to be significant, i.e. minor changes, these will be updated in the following year’s statistical release. However, minor amendments to the figures may be reflected in the StatsWales tables prior to that next release.
Revised data is marked with an (r) in the statistical release
We follow the Îʶ¦ÓéÀÖ Government’s statistical revisions policy.
Accessibility and clarity
Accessibility is the ease with which users are able to access the data, also reflecting the format(s) in which the data are available and the availability of supporting information. Clarity refers to the quality and sufficiency of the metadata, illustrations and accompanying advice.
Dwelling stock estimate statistics for Wales are published in an accessible, orderly, pre-announced manner on the Îʶ¦ÓéÀÖwebsite at 9:30am on the day of publication.
We aim to inform known key users of the publication of the statistics when they are published. An e-mail is circulated to the Housing Information Group.
We aim to use plain English in our outputs and all outputs adhere to the Îʶ¦ÓéÀÖaccessibility policy. Furthermore, all our headlines are published in Îʶ¦ÓéÀÖ and English.
Further information regarding the statistics can be obtained by contacting the relevant staff detailed on the release or via stats.housing@gov.wales.
A full set of data on dwelling stock estimates in Wales, including information by individual local authority is available to download from our . We have also developed an interactive dashboard where you can view housing supply statistics at a regional and national level.
Coherence
Coherence is the degree to which data that are derived from different sources or methods, but which refer to the same phenomenon, are similar.
There are several alternative sources of data on total dwelling stock in Wales, including the council tax system. The Îʶ¦ÓéÀÖcollects and publishes annual information on dwellings under the council tax system which is provided by the 22 Îʶ¦ÓéÀÖ local authorities.
The Îʶ¦ÓéÀÖalso collects information on social housing stock which is based on annual stock returns collected from the 22 Îʶ¦ÓéÀÖ local authorities and all Îʶ¦ÓéÀÖ registered social landlords. The total local authority and registered social landlord stock figures published in the social housing stock release will differ slightly from the figures shown in this release. This release assumes 3 bed spaces of a non-self-contained unit is equivalent to 1 dwelling.
New house building completions are one of the most important factors affecting the annual change in the size of the dwelling stock. The Îʶ¦ÓéÀÖpublishes a quarterly headline and an annual release covering new build starts and completions based on the reports of local authority building inspectors and the National House Building Council (NHBC) which is a private approved inspector (PAI).
The number of dwellings demolished is also another factor affecting the annual change in the total dwelling stock. Data on demolitions is collected annually by the Îʶ¦ÓéÀÖfrom all 22 local authorities in Wales. The statistics on demolitions cover all demolitions of residential dwellings of which the local authority is aware. They also include dwellings demolished which are to be re-built afterwards.
Related statistics for other UK countries
Annual national and subnational statistics on the dwelling stock are available for each of the four UK countries. For England, Scotland and Wales these are also available with a breakdown of the number of owner-occupied and privately rented dwellings, as well as social housing down to local authority level. Statistics on the breakdown of owner-occupied and privately rented dwellings by local government district are not yet available for Northern Ireland.
These statistics are produced using different methods and data sources, although the concepts measured are the same.
England
at the national, regional and local authority level in England. MHCLG use a similar method used for the Îʶ¦ÓéÀÖ estimates, by taking the dwelling count from census data as baseline. The count is projected forward using information on net annual changes to the dwelling stock (census + net additions), which are also statistics.
At the national and regional level, these statistics contain estimates of the number of dwellings in the private sector (owner-occupied and privately rented) and the number of dwellings in social housing. MHCLG does not produce a breakdown of the number of owner-occupied and privately rented dwellings within the private sector at the local authority level. by applying this breakdown to the estimate of the total number of privately-owned dwellings. All statistics for England are adjusted to account for regional variations in the proportion of vacant dwellings by tenure.
Scotland
by tenure in Scotland in the annual key information and summary tables.
For Scotland, the breakdown of owner-occupied and privately rented dwellings from the Scottish Household Survey are applied to the estimates of privately-owned dwelling stock. This breakdown is achieved by comparing total dwelling figures, provided by the National Records of Scotland, with social housing stock figures, as held by local authorities and housing associations.
Northern Ireland
Northern Ireland, like Scotland, uses administrative data. Land & Property Services (LPS) provide a valuation for all properties in Northern Ireland which are subject to rates. Housing Stock is defined as a count of properties which are valued as domestic or mixed for the purposes of rating and includes both social sector and private sector dwellings in the Valuation List. and each of the Local Government Districts within NI on a comparable basis from 2008 to 2024.
In regard to the social rented sector, the Northern Ireland Housing Executive (NIHE) can provide data on NIHE stock, while information on social housing stock owned by Housing Associations can be provided by the NI Federation of Housing Associations (NIFHA) or DfC’s Housing Regulation Branch, upon request.
Tenure estimates, including those for the private rented sector in NI, are sourced from survey data, for example, the Continuous Household Survey and the NI House Conditions Survey.
Evaluation
We always welcome feedback on any of our statistics. Please contact us via email: stats.housing@gov.wales
Produced by Knowledge and Analytical Services, Îʶ¦ÓéÀÖ Government