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As the demand increases for statistics and data to measure the impact of the COVID-19 pandemic, we have had to change our data gathering and release practices, focussing efforts on priority analysis and statistics.
Data Provider: Welsh Government National Statistics Ethnicity by area and ethnic group
Ethnicity 1
Area 1
[Collapse]TotalAll persons (including those who did not specify an ethnicity)Click here to sortTotalAll persons (including those who did not specify an ethnicity)[Expand]Click here to sortPercentage of people who are Black, Asian and minority ethnicThe percentage is calculated based on only those who responded to the question.
Click here to sortWhiteClick here to sortBlack, Asian and minority ethnic
WalesIsle of Anglesey69,400*Mae\’r eitem o ddata yn datgelu neu nid yw\’n ddigon cadarn i\’w gyhoeddi69,600*Mae\’r eitem o ddata yn datgelu neu nid yw\’n ddigon cadarn i\’w gyhoeddi
Neath Port Talbot136,6004,200140,8003.0
Vale of Glamorgan124,2003,000127,2002.4
Rhondda Cynon Taf230,5008,400238,9003.5
Merthyr Tydfil58,1001,30059,4002.2
Blaenau Gwent68,0001,20069,2001.7



Local Labour Force Survey/Annual Population Survey: Ethnicity by Welsh local authority

Last update

24 September 2020 24 September 2020

Next update

December 2020

Publishing organisation

Welsh Government

Source 1

Annual Population Survey, Office for National Statistics

Contact email


National Statistics

Lowest level of geographical disaggregation

Local authorities

Geographical coverage


Languages covered

English and Welsh

Data licensing

You may use and re-use this data free of charge in any format or medium, under the terms of the Open Government License - see

General description

This dataset provides information on the ethnicity of people by Welsh local authority.

Data collection and calculation

These data are taken from the ANNUAL datasets from the Annual Population Survey (APS) for 2005 onwards and the Welsh Local Labour Force Survey (WLLFS) prior to that. These surveys are carried out by the Office for National Statistics (ONS).
Nomis is the ONS's official portal for labour market statistics. Note that some estimates from Nomis for the APS may differ slightly from those presented here due to differences in how local authority geographies are constructed.

Frequency of publication


Data reference periods

2001 to 2020

Rounding applied

Figures are rounded to the nearest 100 and so there may be some apparent slight discrepancies between the sum of constituent items and the totals as shown.

Revisions information

In March 2019, the Annual Population survey data has been revised back to 2012, due to taking on board the latest population estimates.

September 2019: The percentage of people who are Black, Asian or from other ethnic minority backgrounds was previously calculated as a percentage of all persons - this has now been revised so that it is based only on those who responded to the question. The data for all previous waves have been revised. Revised data is marked with an (r).

Statistical quality

The data for Wales are based on an enhanced sample (around 350 per cent larger) compared to earlier years. APS data are collected throughout the year and are published for calendar years. WLLFS data was published for the year ended February, each year i.e. 2001 WLLFS data relates to year ended February 2002. The data do NOT exactly match annual averages derived from the 4 QUARTERLY datasets in each year due to differences in the sampling structure.
The survey asks respondents what they consider to be their ethnic origin. This table combines the non-white groups together in order to increase the reliability of the estimates. Non-white includes: mixed, Asian or Asian British, Black or Black British, Chinese and other ethnic group. As the data come from a survey, the results are sample-based estimates and therefore subject to differing degrees of sampling variability, i.e. the true value for any measure lies in a differing range about the estimated value. This range or sampling variability increases as the detail in the data increases, for example local authority data are subject to higher variability than regional data. As the results from the quarterly surveys are combined with, results from additional persons sampled, they provide a more robust (boosted) dataset, with estimates subject to much lower sampling variability than the quarterly LFS.

Note: Data for 2011 Q1-3 removed due to change in questions resulting in discontinuity in the series.