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Data Provider: Welsh Government National Statistics Annual Population Survey - Frequency of speaking Welsh by local authority and year
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LA Code[Filter]
Year[Filtered]
Measure2
Welsh Frequency[Filter]
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Local Authority 1
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[Collapse]Wales14.95.67.01.6
WalesIsle of Anglesey47.43.97.7*The data item is disclosive or not sufficiently robust for publication
Gwynedd68.05.36.0*The data item is disclosive or not sufficiently robust for publication
Conwy18.85.99.7*The data item is disclosive or not sufficiently robust for publication
Denbighshire22.18.110.2*The data item is disclosive or not sufficiently robust for publication
Flintshire7.6*The data item is disclosive or not sufficiently robust for publication5.9*The data item is disclosive or not sufficiently robust for publication
Wrexham10.47.36.6*The data item is disclosive or not sufficiently robust for publication
Powys12.27.75.4*The data item is disclosive or not sufficiently robust for publication
Ceredigion38.09.17.2*The data item is disclosive or not sufficiently robust for publication
Pembrokeshire17.83.69.1*The data item is disclosive or not sufficiently robust for publication
Carmarthenshire31.97.310.1*The data item is disclosive or not sufficiently robust for publication
Swansea7.65.15.5*The data item is disclosive or not sufficiently robust for publication
Neath Port Talbot15.44.96.4*The data item is disclosive or not sufficiently robust for publication
Bridgend8.0*The data item is disclosive or not sufficiently robust for publication6.8*The data item is disclosive or not sufficiently robust for publication
Vale of Glamorgan12.97.67.2*The data item is disclosive or not sufficiently robust for publication
Cardiff6.65.79.0*The data item is disclosive or not sufficiently robust for publication
Rhondda Cynon Taf7.6*The data item is disclosive or not sufficiently robust for publication6.0*The data item is disclosive or not sufficiently robust for publication
Merthyr Tydfil11.56.8*The data item is disclosive or not sufficiently robust for publication*The data item is disclosive or not sufficiently robust for publication
Caerphilly8.45.85.4*The data item is disclosive or not sufficiently robust for publication
Blaenau Gwent*The data item is disclosive or not sufficiently robust for publication*The data item is disclosive or not sufficiently robust for publication*The data item is disclosive or not sufficiently robust for publication*The data item is disclosive or not sufficiently robust for publication
Torfaen7.3*The data item is disclosive or not sufficiently robust for publication6.0*The data item is disclosive or not sufficiently robust for publication
Monmouthshire5.46.55.7*The data item is disclosive or not sufficiently robust for publication
Newport6.35.56.0*The data item is disclosive or not sufficiently robust for publication

Metadata

Title

Frequency of speaking Welsh, by Welsh local authority

Last update

18 April 2024 18 April 2024

Next update

Summer 2024

Publishing organisation

Welsh Government

Source 1

Annual Population Survey, Office for National Statistics

Contact email

welshlanguagedata@gov.wales

Designation

National Statistics

Lowest level of geographical disaggregation

Local authorities

Geographical coverage

Wales

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 http://www.nationalarchives.gov.uk/doc/open-government-licence

General description

This dataset provides information on how often people aged 3 or older say that they speak Welsh, by local authority. These percentages sum to the total percentage who report being able to speak Welsh.

Frequency of publication

Quarterly

Data reference periods

2007 to 2023

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.

Keywords

Welsh speakers, language, frequency

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.