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Data Provider: Welsh Government National Statistics Annual Population Survey - Ability to read, write and understand spoken Welsh by age, sex and year
Welsh Skill[Filter]
Sex 1
Age 1
[Collapse]Read Welsh[Collapse]Write Welsh[Collapse]Understand spoken Welsh
[Collapse]TotalClick here to sortTotal[Collapse]TotalClick here to sortTotal[Collapse]TotalClick here to sortTotal
Click here to sortFemaleClick here to sortMaleClick here to sortFemaleClick here to sortMaleClick here to sortFemaleClick here to sortMale
TotalAge 3-15115,400110,200225,600112,900107,700220,600141,500139,200280,600
Age 16-2466,90056,800123,60065,80054,800120,60074,80066,800141,500
Age 25-3449,80039,90089,60045,50036,60082,10063,50051,100114,600
Age 35-4441,10029,30070,50037,40026,10063,50054,30043,90098,300
Age 45-5447,00036,00083,00041,20030,40071,60065,60051,800117,400
Age 55-6441,30033,70075,00035,50027,50063,00058,30048,700107,000
Age 65+75,30056,400131,70061,00047,300108,30097,10074,100171,200


People aged 3 or more who say they can read, write and understand spoken Welsh, by age and sex

Last update
18 September 2019 18 September 2019

Next update
January 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 for people aged 3 or more who say they can read, write and understand spoken Welsh, by age and sex

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 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
2004 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.
When preparing the publication of this table for the APS results for September 2018, two coding errors were identified.
1. ‘All Persons’ previously included people of all ages – this has now been revised to only include all people aged three and over.
2. The percentage of people who say they can speak Welsh 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
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.

Welsh speakers language