Welsh Index of Multiple Deprivation (WIMD) 2025 indicator data by rural urban classification

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

Updates

1st July 2026
Dataset first published.

Main information

Designation
Accredited official statistics
Data provider 1
Digital Health and Care Wales (DHCW)
Data source 1
No specific source from data provider
Data provider 2
Public Health Wales
Data source 2
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Data provider 3
Welsh Government
Data source 3
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Data provider 4
HM Revenue and Customs (HMRC)
Data source 4
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Data provider 5
Home Office
Data source 5
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Data provider 6
Ministry of Justice
Data source 6
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Data provider 7
Department for Education
Data source 7
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Data provider 8
Higher Education Statistics Agency
Data source 8
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Data provider 9
NHS England
Data source 9
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Data provider 10
Care Inspectorate Wales
Data source 10
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Data provider 11
NHS Wales Shared Services Partnership
Data source 11
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Data provider 12
Ministry for Housing, Communities and Local Government
Data source 12
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Data provider 13
Department for Environment, Food and Rural Affairs
Data source 13
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Data provider 14
Ordnance Survey
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Data provider 15
Natural Resources Wales
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Data provider 16
Department for Work and Pensions (DWP)
Data source 16
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Data provider 17
Office for National Statistics (ONS)
Data source 17
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Dataset ID
2e007789-7ecb-477c-bf39-ea168e155090

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 WIMD 2025 indicator data aggregated to rural urban classification level.

Estimates for rural urban classifications have been produced where the original data allows for aggregating to geographies above LSOA level. Where this is not possible for a given indicator, data entries will display [x] in the Data column.

The 2021 Rural Urban Classification (RUC) is a statistical classification which provides a consistent and standardised method for categorising geographies as either rural or urban. The classification used to produce these estimates is an adjusted version of the RUC based on:

  • address density
  • whether the area is within an amalgamated built-up area (ABUA)
  • population size
  • Relative access to medium towns and cities (usual resident population threshold 25,000)

The RUC used to produce these estimates defines relative access as follows:

  • Nearer to a medium town or city: can reach a built-up area with 25,000 usual residents or more within 30 minutes travel by road
  • Further from a medium town or city: cannot reach a built-up area with 25,000 usual residents or more within 30 minutes travel by road

There is more information about the 2021 Rural Urban Classification on the Office for National Statistics (ONS) website.

After consulting with stakeholders, we have produced the estimates in this dataset using a custom classification replacing the 75,000 official usual resident threshold with 25,000 usual residents. This was done to reflect the importance of smaller settlements in acting as service hubs, as Wales contains only three built-up areas with 75,000 usual residents or more (Cardiff, Newport and Swansea).

Data collection or calculation

Please see the WIMD guidance report and technical report for information on how data for each of the indicators was collected and processed.

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.

Rounding applied

Data for Key Stage 4 average points score has been rounded to the nearest whole number, and data for community safety indicators have been rounded to 2 decimal places. All other indicators have been rounded to 1 decimal place.

Related reports

Published by

Organisation
Welsh Government
Contact email
statsinclusion@gov.wales