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Data Provider: Welsh Government National Statistics Ethnicity by area and ethnic group
Area Code[Filter]
Area 1
Click here to sortAll personsClick here to sortPeople who say they are from a white backgroundClick here to sortPeople who say they are from a non-white backgroundClick here to sortPercentage of population from a non-white background
[Collapse]Total Welsh local authorities6,210,1005,904,400304,2009.8
Total Welsh local authoritiesIsle of Anglesey139,200137,900(!!) 1,400(!!) 1.9
Gwynedd245,100239,100(!) 5,800(!) 4.8
Conwy229,000224,800(!,!!) 4,300(!,!!) 3.7
Denbighshire189,600183,700(!) 5,800(!) 6.2
Flintshire309,600303,100(!,!!) 6,600(!,!!) 4.2
Wrexham277,000268,200(!) 8,500(!) 6.1
Powys260,600253,500(!) 7,000(!) 5.4
Ceredigion150,200145,300(!,!!) 4,700(!,!!) 6.4
Pembrokeshire249,200246,000(!!) 3,000(!!) 2.4
Neath Port Talbot281,700275,400(!,!!) 5,800(!,!!) 4.1
Bridgend282,500277,000(!) 5,400(!) 3.9
Vale of Glamorgan253,500247,100(!) 6,500(!) 5.1
Rhondda Cynon Taf475,800462,700(!) 13,200(!) 5.6
Merthyr Tydfil118,300115,400(!,!!) 3,000(!,!!) 5.0
Caerphilly361,800355,700(!) 5,900(!) 3.2
Blaenau Gwent138,500136,400(!!) 2,000(!!) 2.9
Monmouthshire183,200179,700(!) 3,500(!) 3.8


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

Last update
19 June 2019 19 June 2019

Next update
September 2019

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 2019

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.

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.