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Welsh Index of Multiple Deprivation

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  • Release date: 22 October 2018
The Welsh Index of Multiple Deprivation (WIMD) is designed to identify the small areas of Wales that are the most deprived.

WIMD 2019 Consultation

The consultation on proposed indicators for the Welsh Index of Multiple Deprivation 2019 is now closed. We would like to thank all those who took part in the consultation process.

Responses to the consultation are currently being reviewed. In April 2019 we will publish a summary of the responses and our updated plans for indicators to include in WIMD 2019.

You can find our proposals on indicators to feed into WIMD 2019 which were subject to consultation on our consultation page.

The next index will be published in autumn 2019.

WIMD 2014

The most recent WIMD was published in 2014. However a selection of indicators used within WIMD are updated in between full index updates. For more information please visit our webpage on WIMD indicator data.

Revision to the WIMD 2014 report

A small amount of data in the WIMD 2014 report was revised in 2015 due to the Department for Work and Pensions discovering an error in tax credit data that affected the income indicator used in WIMD.

You can read a summary of the key changes (PDF, 0.3MB) made as a result of this revision.

The WIMD 2014 report

In 2014 we published the latest index and the latest small area rankings for 8 different types of deprivation.

Altogether, we published:

We also published guidance for WIMD (this can be found on the 'Background information' tab).

The WIMD 2014 interactive tool

This interactive tool (external link) is a great way to view deprivation statistics for small areas of Wales (called Lower Super Output Areas or LSOAs for short).

Screenshot of the interactive tool for the Welsh Index of Multiple Deprivation

Type in a postcode or area to view deprivation information for the LSOA that place falls in, relative to other LSOAs across Wales.

You can also look at deprivation for different geographies such as local authorities and constituencies.

You can view the data through a map or by using our “barcode” charts.


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