Welsh Index of Multiple Deprivation (WIMD) 2019 indicator data by Lower layer Super Output Area (LSOA) and local authority: housing domain
See what variables and values are shown in your table
| Variable | Visibility | Selected values | Action |
|---|---|---|---|
| Data description | Shown in table | Percentage | Value cannot be changed |
| Area code | Shown in table | All 1932 values | Change values |
| Area name | Shown in table | All 1932 values | Change values |
| Indicator | Shown in table | All 4 values | Change values |
Table
| Data values | Data description | Area code | Area name | Indicator |
|---|---|---|---|---|
| 3.2 | Percentage | W01000001 | Aberffraw & Rhosneigr 1 | People in overcrowded households (%) |
| 26.8 | Percentage | W01000001 | Aberffraw & Rhosneigr 1 | Likelihood of poor quality housing (%) |
| 24.9 | Percentage | W01000001 | Aberffraw & Rhosneigr 1 | Likelihood of housing containing serious hazards (%) |
| 3.2 | Percentage | W01000001 | Aberffraw & Rhosneigr 1 | Likelihood of housing being in disrepair (%) |
| 5.2 | Percentage | W01000002 | Aberffraw & Rhosneigr 2 | People in overcrowded households (%) |
| 33.1 | Percentage | W01000002 | Aberffraw & Rhosneigr 2 | Likelihood of poor quality housing (%) |
| 30.7 | Percentage | W01000002 | Aberffraw & Rhosneigr 2 | Likelihood of housing containing serious hazards (%) |
| 4.0 | Percentage | W01000002 | Aberffraw & Rhosneigr 2 | Likelihood of housing being in disrepair (%) |
| 6.6 | Percentage | W01000003 | Amlwch Port | People in overcrowded households (%) |
| 15.2 | Percentage | W01000003 | Amlwch Port | Likelihood of poor quality housing (%) |
| 13.6 | Percentage | W01000003 | Amlwch Port | Likelihood of housing containing serious hazards (%) |
| 3.4 | Percentage | W01000003 | Amlwch Port | Likelihood of housing being in disrepair (%) |
| 3.4 | Percentage | W01000004 | Amlwch Rural | People in overcrowded households (%) |
| 18.2 | Percentage | W01000004 | Amlwch Rural | Likelihood of poor quality housing (%) |
| 17.2 | Percentage | W01000004 | Amlwch Rural | Likelihood of housing containing serious hazards (%) |
| 2.5 | Percentage | W01000004 | Amlwch Rural | Likelihood of housing being in disrepair (%) |
| 5.0 | Percentage | W01000005 | Beaumaris | People in overcrowded households (%) |
| 20.0 | Percentage | W01000005 | Beaumaris | Likelihood of poor quality housing (%) |
| 18.5 | Percentage | W01000005 | Beaumaris | Likelihood of housing containing serious hazards (%) |
| 4.1 | Percentage | W01000005 | Beaumaris | Likelihood of housing being in disrepair (%) |
| 5.0 | Percentage | W01000006 | Bodffordd | People in overcrowded households (%) |
| 25.9 | Percentage | W01000006 | Bodffordd | Likelihood of poor quality housing (%) |
| 24.1 | Percentage | W01000006 | Bodffordd | Likelihood of housing containing serious hazards (%) |
| 3.7 | Percentage | W01000006 | Bodffordd | Likelihood of housing being in disrepair (%) |
| 5.7 | Percentage | W01000007 | Bodorgan | People in overcrowded households (%) |
Next update expected:This dataset is not expected to be updated or replaced in the future
Updates
- 19th January 2026
- Dataset first published.
Main information
- Designation
- Accredited official statistics
- Data provider
- Office for National Statistics (ONS)
- Data source
- 2011 Census
Overview
- Summary of dataset and variables
Note: this is not the latest release in the series, for latest data go to Welsh Index of Multiple Deprivation (WIMD) 2025 results report.
The 2019 edition ranked all 1,909 Lower Layer Super Output Areas (LSOAs defined after Census 2011) from most (rank 1) to least (rank 1,909) deprived. It combines 47 indicators grouped under 8 domains which have the following weights in the overall index: Income (22%), Employment (22%), Health (15%), Education (14%), Access to Services (10%), Housing (7%), Community Safety (5%), and Physical Environment (5%).
The data here is for the underlying indicators that feed into the Welsh Index of Multiple Deprivation 2019.
This table contains data for the 2 indicators that form the housing domain. The Overcrowding indicator is rounded to one decimal place while the BRE indicator is rounded to two decimal places.
Local authority indicator estimates have been produced where the original data allows for aggregating to geographies above LSOA level. Where this is not possible for a given indicator, local authority data entries will display [x] in the Data column.
- Data collection or calculation
Conceptually, the purpose of the housing domain is to identify inadequate housing, in terms of physical and living conditions and availability. Here, living condition means the suitability of the housing for its inhabitant(s), for example in terms of health and safety, and necessary adaptations. The domain has a relative weight of 7% in the overall index. This has increased from 5% in the 2014 index, due to the addition of a new modelled indicator on the likelihood of poor quality housing.
The housing domain is made up of two equally weighted indicators:
- An indicator on overcrowding measures the percentage of people living in overcrowded households (2011 Census-based bedroom measure).
- A new modelled indicator on poor quality housing. It measures the likelihood of housing being in disrepair or containing serious hazards (for example, risk of falls or cold housing), and was calculated from a mixture of survey and administrative data sources by the Building Research Establishment (BRE).
For the two indicators, each LSOA was ranked in order, with the most deprived LSOA ranked 1 and the least deprived LSOA ranked 1,909. These ranks were assigned to a normal distribution (with low ranks receiving a low normalised value) before being combined with equal weighting. As with all domains, the final domain ranks were exponentially transformed, to form domain scores for use in the calculation of the overall WIMD 2019.
- Statistical quality
The WIMD 2019 data have been produced by professional statisticians using the latest data, rigorous analytical methods, and independent validation at every stage. WIMD 2019 builds on previous versions to ensure accuracy and reliability, combining 47 indicators from diverse sources (some but not all are based on official statistics sources) to minimize bias and strengthen robustness. Quality assurance included multiple checks, replication of results, and expert review with domain specialists and local authorities.
Published by
- Organisation
- Welsh Government
- Contact email
- statsinclusion@gov.wales