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Data Provider: Welsh Government National Statistics National identity by year and identity
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National Identity 1
[Collapse]All PersonsClick here to sortAll Persons[Collapse]Percentage who consider themselves Welsh
Click here to sortWelsh identityClick here to sortNon-Welsh identityClick here to sortPercentage who consider themselves Welsh
Year ending 30 Sep 20052,005,500927,9002,934,10068.4
Year ending 30 Sep 20062,008,500939,3002,948,90068.1
Year ending 30 Sep 20071,990,900975,5002,968,10067.1
Year ending 30 Sep 20081,927,200986,7002,987,40064.5
Year ending 30 Sep 20091,949,2001,049,8003,001,60064.9
Year ending 30 Sep 20101,961,4001,049,5003,012,80065.1
Year ending 30 Sep 2011....
Year ending 30 Sep 20121,929,2001,100,4003,036,80063.5
Year ending 30 Sep 20131,963,6001,081,3003,046,30064.5
Year ending 30 Sep 20141,952,3001,092,6003,055,40063.9
Year ending 30 Sep 20151,954,3001,106,3003,061,90063.8
Year ending 30 Sep 20161,956,2001,112,0003,070,50063.7
Year ending 30 Sep 20171,936,3001,141,0003,078,60062.9


National Identity by Welsh local authority

Last update
28 September 2017 28 September 2017

Next update
January 2018

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 national identity 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). 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 national identity. This table combines the non-Welsh groups together in order to increase the reliability of the estimates. Non-Welsh includes: English, Scottish, Irish, British and Other.
The local authority and Wales figures for 2001, 2002 and 2003 in these tables may not be the same as published elsewhere, as the numbers here are estimated using Welsh specific weights. These weights better reflect the population estimates for Welsh local authorities in these years.

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 2017

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 July 2017, the Annual Population survey data has been revised back to 2012, due to taking on board the latest population estimates (2015).

Statistical quality
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.

These annual results refer to the period March to February each year. However, 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.