Welsh Index of Multiple Deprivation (WIMD) 2025 indicator data by Lower layer Super Output Area (LSOA) and local authority: community safety domain
Next update expected:This dataset is not expected to be updated or replaced in the future
Updates
- 9th February 2026
Minor formatting changes
- 6th February 2026
Minor formatting changes
- 22nd January 2026
Minor formatting changes
- 16th December 2025
Local authority indicator estimates have been produced where the original data allows for aggregating to geographies above LSOA level.
- 27th November 2025
- 27th November 2025
- 27th November 2025
- Dataset first published.
Main information
- Designation
- Accredited official statistics
- Data provider 1
- Ministry of Justice
- Data source 1
- No specific source from data provider
- Data provider 2
- Home Office
- Data source 2
- No specific source from data provider
- Data provider 3
- Office for National Statistics (ONS)
- Data source 3
- Small Area Population Estimates (SAPE)
Overview
- Summary of dataset and variables
The Welsh Index of Multiple Deprivation (WIMD) is the official measure of relative deprivation for small areas in Wales, ranking all 1,917 Lower Layer Super Output Areas (LSOAs) from most (rank 1) to least (rank 1,917) deprived. It combines 54 indicators grouped under 8 domains which have the following weights in the overall index: Income (22%), Employment (20%), Health (15%), Education (14%), Access to Services (10%), Housing (9%), Community Safety (5%), and Physical Environment (5%).
WIMD produces domain ranks and an overall index to identify areas with the highest concentrations of multiple types of deprivation. Most of the indicator values, some sub-indicator values and some sub-domain ranks are also published on StatsWales. Please see the WIMD guidance report and technical report for more information.
This table contains data for the 9 indicators which form the community safety domain. All indicators are rounded to 2 decimal places.
The data in this table is based on administrative data.
Indicator data are suppressed if there were fewer than 5 incidents.
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
The purpose of this domain is to measure the proportion of people experiencing deprivation relating to living in a safe community. It covers actual experience of crime and fire, as well as perceptions of safety whilst out and about in the local area. The domain has a relative weight of 5% in the overall index.
The indicator numerators are the average number of incidents across 6 financial years, April 2018 to March 2019 (2018-19) to 2023-24) for the following categories of police recorded crime:
- violence with injury
- violence without injury
- public order offences
- stalking and harassment
- criminal damage
- burglary
- theft
The numerator for the anti-social behaviour indicator is the average number of recorded incidents across two financial years (2022-23 and 2023-24).
The numerator for the fire incidence indicator is the average number of fires attended across three financial years (2021-22 to 2023-24).
The denominator for police recorded crime indicators (with the exception of police recorded burglary) and anti-social behaviour is the total resident population plus an estimate of the non-resident workplace population.
The denominator for police recorded burglary is residential dwellings at LSOA level from the 2021 Census plus non-residential properties at LSOA level from Ordnance Survey’s Address Base.
The denominator for fire incidents is the total resident population excluding prison population.
- Statistical quality
The WIMD 2025 data have been produced by professional statisticians using the latest data, rigorous analytical methods, and independent validation at every stage. WIMD 2025 builds on previous versions to ensure accuracy and reliability, combining 54 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.
Data on recorded crimes and anti-social behaviour were collected and processed by deprivation.org on our behalf, using a method aligned with the English indices of deprivation 2025. Further details on the methodology can be found in the English indices of deprivation 2025 technical report (MHCLG). The domain uses geocoded microdata on police recorded crime and anti-social behaviour incidents, sourced from the Home Office Data Hub, Police.uk raw data, and bespoke police force extracts. Unlike anonymised public data, these datasets include full location details, enabling precise mapping. Due to sensitivity, all data processing occurred in secure police environments under National Police Chiefs’ Council (NPCC) agreements.
Individual crime and anti-social behaviour records were aggregated to LSOAs using a bespoke mapping tool. Crimes within 10 metres of boundaries were apportioned across adjacent LSOAs, replacing the previous 100m buffer used in 2019 to reflect improved geocoding accuracy.
Quality assurance included checks against aggregate police statistics and removal of anomalies, such as records outside force boundaries. Counts were constrained to police force area totals to address unmapped records and avoid distortions from crimes geocoded to police premises.
Published by
- Organisation
- Welsh Government
- Contact email
- statsinclusion@gov.wales