Welsh Index of Multiple Deprivation (WIMD) 2025 sub-domain ranks, for Lower layer Super Output Areas (LSOA)

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Next update expected:This dataset is not expected to be updated or replaced in the future

Updates

6th February 2026

Minor formatting changes

27th November 2025
27th November 2025
27th November 2025
27th November 2025
Dataset first published.

Main information

Designation
Accredited official statistics
Data provider 1
HM Revenue and Customs (HMRC)
Data source 1
No specific source from data provider
Data provider 2
Public Health Wales
Data source 2
No specific source from data provider
Data provider 3
Office for National Statistics (ONS)
Data source 3
No specific source from data provider
Data provider 4
Department for Work and Pensions (DWP)
Data source 4
No specific source from data provider
Data provider 5
Home Office
Data source 5
No specific source from data provider
Data provider 6
Digital Health and Care Wales (DHCW)
Data source 6
No specific source from data provider
Data provider 7
Ministry of Justice
Data source 7
No specific source from data provider
Data provider 8
Welsh Government
Data source 8
No specific source from data provider
Data provider 9
Department for Education
Data source 9
No specific source from data provider
Data provider 10
Higher Education Statistics Agency
Data source 10
No specific source from data provider
Data provider 11
NHS England
Data source 11
No specific source from data provider
Data provider 12
Care Inspectorate Wales
Data source 12
No specific source from data provider
Data provider 13
NHS Wales Shared Services Partnership
Data source 13
No specific source from data provider
Data provider 14
Ministry for Housing, Communities and Local Government
Data source 14
No specific source from data provider
Data provider 15
Natural Resources Wales
Data source 15
No specific source from data provider
Data provider 16
Department for Environment, Food and Rural Affairs
Data source 16
No specific source from data provider
Data provider 17
Ordnance Survey
Data source 17
No specific source from data provider

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.

Data collection or calculation

Weightings for indicators within domains are derived in several different ways. For the housing, physical environment and access to services domains, indicators are grouped into 2 or more sub-domains, then the sub-domain ranks are exponentially transformed, before being combined in a weighted sum.

This table shows ranks for each LSOA for the sub-domains:

  • Access to services domain: physical access sub-domain and digital access sub-domain
  • Housing domain: housing availability sub-domain and housing conditions sub-domain
  • Physical environment domain: air quality sub-domain, flood risk sub-domain, green space sub-domain and noise pollution sub-domain

The WIMD results and technical reports gives full details of indicators in these sub-domains.

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.

Published by

Organisation
Welsh Government
Contact email
statsinclusion@gov.wales