Annual Population Survey - Ability to speak Welsh by age, sex and year

Standard shorthand is used in this table: [a] = average, [t] = total, [u] = low reliability.

View options

Filters

Data description ( of 2 selected2 selectable options)

Welsh Speakers ( of 3 selected3 selectable options)

Age ( of 8 selected8 selectable options)

Sex ( of 3 selected3 selectable options)

Year ( of 86 selected86 selectable options)


Data valuesData descriptionWelsh SpeakersAgeSexYear
161,700 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2020
162,200 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2020
162,700 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2020
163,100 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2019
163,700 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2019
164,500 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2019
165,100 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2019
165,900 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2018
166,300 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2018
166,700 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2018
167,100 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2018
167,400 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2017
168,400 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2017
169,500 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2017
170,600 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2017
171,900 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2016
172,800 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2016
173,800 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2016
174,600 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2016
175,500 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2015
176,100 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2015
176,700 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2015
177,400 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2015
178,000 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2014
178,600 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2014
179,000 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2014
179,600 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2014
180,100 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2013
180,300 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2013
180,600 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2013
180,800 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2013
181,000 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2012
180,900 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2012
180,900 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2012
180,800 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2012
180,800 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2011
180,600 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2011
179,800 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2011
179,600 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2011
179,300 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2010
179,400 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2010
180,000 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2010
179,900 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2010
179,900 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2009
179,500 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2009
179,200 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2009
177,300 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2009
170,200 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2008
169,700 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2008
168,900 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2008
169,800 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2008
175,000 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2007
173,800 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2007
173,200 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2007
172,600 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2007
171,900 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2006
171,600 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2006
170,700 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2006
170,000 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2006
169,200 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2005
168,900 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Sep 2005
168,600 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 30 Jun 2005
168,400 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Mar 2005
168,100 [t]NumberAll aged 3 or olderAge 16-24FemaleYear ending 31 Dec 2004
176,300 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Jun 2025
174,700 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Mar 2025
174,400 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Dec 2024
174,200 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Sep 2024
174,400 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Jun 2024
173,300 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Mar 2024
173,100 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Dec 2023
173,000 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Sep 2023
172,800 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Jun 2023
173,000 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Mar 2023
172,400 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Dec 2022
172,300 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Sep 2022
172,200 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Jun 2022
172,200 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Mar 2022
172,300 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Dec 2021
172,900 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Sep 2021
173,500 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Jun 2021
174,300 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Mar 2021
175,000 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Dec 2020
175,600 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Sep 2020
176,200 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Jun 2020
176,800 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Mar 2020
177,400 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Dec 2019
178,100 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Sep 2019
178,800 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Jun 2019
179,600 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Mar 2019
180,300 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Dec 2018
180,000 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Sep 2018
180,100 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Jun 2018
180,400 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Mar 2018
180,600 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Dec 2017
181,600 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Sep 2017
182,200 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Jun 2017
182,400 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Mar 2017
183,000 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 31 Dec 2016
183,700 [t]NumberAll aged 3 or olderAge 16-24MaleYear ending 30 Sep 2016
Showing 601 to 700 of 11,952 rows
Page 7 of 120

Main information

Most recent update
9 October 2025
Next update expected
January 2026
Designation
Official statistics
Data provider
Office for National Statistics (ONS)
Data source
Annual Population Survey (APS)

Data notes

Revisions
  • 25 September 2025
  • 25 September 2025
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.

Overview

Summary of dataset and variables

This dataset shows the number of people aged 3 or older who say they can speak Welsh. The figures are shown for each year ending date .

The information is broken down by:

  • Age group – the age range people belong to.
  • Sex – whether people are male or female.
  • Year ending – the period the estimate relates to (for example, year ending 31 March 2023).
  • Measure – the estimated number or percentage of people aged 3 or older who say they can speak Welsh.

You can use this dataset to see how Welsh language ability differs between age groups, between men and women, and how it changes over time.

Data collection or calculation

The data come from the Annual Population Survey (APS), which is an annual dataset derived from the Labour Force Survey (LFS) carried out by the Office for National Statistics (ONS). Local authority level data have been available since 2001, when an enhanced sample (around 350% larger than the standard survey) was introduced.

Since 2004, the APS has been produced on a rolling annual basis, with each rolling annual average covering a 12-month period and updated every three months. This provides more timely data while overlapping periods by nine months. The rolling dataset is boosted with additional sampled respondents to improve the robustness of estimates, particularly for local-level geographies.

For the years 2001–2003, Welsh-specific weights are applied to better reflect population figures for local authorities.

In mid-March 2020, APS interviews switched from face-to-face to telephone because of the COVID-19 pandemic. The ONS monitored the impact and re-weighted the data accordingly. Face-to-face interviews were reintroduced in autumn 2023. Comparing pre-2020 face-to-face interviews with telephone interviews suggested a slight increase in respondents reporting Welsh-speaking ability, so caution is advised when interpreting trends across this period.

The survey collects information on the population’s ability to speak Welsh. Respondents aged 3 or older are asked whether they can speak Welsh, and estimates are presented as counts or percentages of Welsh speakers.

Standard analysis and weighting methods are applied to ensure the estimates are representative of the population.

Statistical quality

These estimates were previously classified as accredited official statistics. Due to a fall in sample sizes in the Annual Population Survey (APS) in recent years, and because the survey has not been reweighted to the latest population estimates, this accreditation has been temporarily suspended. The estimates are now designated as official statistics.

The statistics remain suitable for use, but users should note that there is increased uncertainty, particularly for smaller geographic areas or population sub-groups, where estimates are less reliable. Trends should be considered alongside other sources of information on Welsh speakers, such as the National Survey for Wales. The Welsh Government considers the census of population to be the key source of information to measure the number of Welsh speakers in Wales.

All APS data are sample-based, meaning results are estimates rather than exact counts. The true value of any measure lies within a range around the estimate, with variability increasing as data become more detailed. For example, local authority-level estimates are subject to greater uncertainty than national-level estimates.

APS responses are weighted to official population projections. Initially, 2020 data were based on 2018 population projections, which did not account for changes from the COVID-19 pandemic. In September 2021, APS data were reweighted using updated population estimates derived from HM Revenue and Customs Real Time Information (RTI), improving accuracy for overall rates and levels.

These changes reduce potential bias in higher-level aggregates, but some smaller breakdowns may still be affected due to reduced sample sizes during the pandemic, leading to more extreme variation in estimates.

Published by

Organisation
Welsh Government
Contact email
welshlanguagedata@gov.wales

Select the filtered or whole dataset to download

Select download format

Contains only the dataset
Contains only the dataset
Contains only the dataset

Select number formatting

This includes rounding to decimal places and commas to separate thousands
This includes rounding to decimal places and commas to separate thousands

Select language