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Data Provider: Welsh Government Experimental Statistics Religion by Region
None
Measure[Filtered]
Year[Filtered]
Measure2
[Collapse]Religion[Filter]
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Religion 1
[Collapse]Region[Filter]
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Region 1
Area Code[Filtered]
[Collapse]TotalClick here to sortTotal
Click here to sortNo ReligionClick here to sortChristianClick here to sortMuslimClick here to sortAny Other Religion
[Collapse]Total1,469,0001,486,500(!) The data item has a coefficient of variation (CV) of between 5% and 10% and is therefore categorised as only \'reasonably precise.\’ Only estimates with a CV of less than 5% are considered \'precise\', whilst estimates with a CV of between 10% and 20% are considered ‘acceptable.\’ Estimates with a CV of above 20% are considered unacceptable and suppressed. Note that CVs for this purpose are calculated using the standard algorithms in SAS. Typically these CVs are slightly lower than those calculated by ONS when they publish the data.55,50084,4003,102,900
Total[Expand]North Wales289,800381,700*The data item is disclosive or not sufficiently robust for publication(!) The data item has a coefficient of variation (CV) of between 5% and 10% and is therefore categorised as only \'reasonably precise.\’ Only estimates with a CV of less than 5% are considered \'precise\', whilst estimates with a CV of between 10% and 20% are considered ‘acceptable.\’ Estimates with a CV of above 20% are considered unacceptable and suppressed. Note that CVs for this purpose are calculated using the standard algorithms in SAS. Typically these CVs are slightly lower than those calculated by ONS when they publish the data.14,900693,000
[Expand]Mid and South West Wales413,600442,800(!!) The data item has a coefficient of variation (CV) of between 10% and 20% and is therefore categorised as only \'acceptable.\' Only estimates with a CV of less than 5% are considered \'precise\', whilst estimates with a CV of between 5% and 10% are considered ‘reasonably precise.\’ Estimates with a CV of above 20% are considered unacceptable and suppressed. Note that CVs for this purpose are calculated using the standard algorithms in SAS. Typically these CVs are slightly lower than those calculated by ONS when they publish the data.12,200(!) The data item has a coefficient of variation (CV) of between 5% and 10% and is therefore categorised as only \'reasonably precise.\’ Only estimates with a CV of less than 5% are considered \'precise\', whilst estimates with a CV of between 10% and 20% are considered ‘acceptable.\’ Estimates with a CV of above 20% are considered unacceptable and suppressed. Note that CVs for this purpose are calculated using the standard algorithms in SAS. Typically these CVs are slightly lower than those calculated by ONS when they publish the data.24,400897,000
[Expand]South East Wales765,500662,000(!!) The data item has a coefficient of variation (CV) of between 10% and 20% and is therefore categorised as only \'acceptable.\' Only estimates with a CV of less than 5% are considered \'precise\', whilst estimates with a CV of between 5% and 10% are considered ‘reasonably precise.\’ Estimates with a CV of above 20% are considered unacceptable and suppressed. Note that CVs for this purpose are calculated using the standard algorithms in SAS. Typically these CVs are slightly lower than those calculated by ONS when they publish the data.38,400(!) The data item has a coefficient of variation (CV) of between 5% and 10% and is therefore categorised as only \'reasonably precise.\’ Only estimates with a CV of less than 5% are considered \'precise\', whilst estimates with a CV of between 10% and 20% are considered ‘acceptable.\’ Estimates with a CV of above 20% are considered unacceptable and suppressed. Note that CVs for this purpose are calculated using the standard algorithms in SAS. Typically these CVs are slightly lower than those calculated by ONS when they publish the data.45,0001,513,000

Metadata

Title

Annual Population Survey: Religion

Last update

October 2020 October 2020

Next update

September 2021

Publishing organisation

Welsh Government

Source 1

Annual Population Survey, Office for National Statistics

Contact email

stats.inclusion@gov.wales

Designation

Experimental statistics

Lowest level of geographical disaggregation

Welsh Government economic regions

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 table presents data on all people in Wales.

Data collection and calculation

The data is based on Welsh Government analysis of Annual Population Survey datasets provided by the Office for National Statistics.

Frequency of publication

Annual

Data reference periods

Figures shown relate to multi-year averages, as indicated

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

Religion; Equality & Diversity

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.