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Data Provider: Welsh Government Experimental Statistics Religion by Age
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Measure[Filtered]
[Collapse]Sex[Filtered]
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Sex 1[Filter]
Year[Filtered]
Measure2
[Collapse]Religion[Filter]
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Religion 1
[Collapse]Age[Filter]
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Age 1
[Collapse]TotalTotal column includes a small number where Religion is unknown.Click here to sortTotalTotal column includes a small number where Religion is unknown.
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
TotalAge 0-15331,400202,600(!!) 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.18,400(!!) 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.8,400562,000
Age 16-24208,700118,800(!!) 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.9,300(!!) 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.6,200345,200
Age 25-44450,900249,400(!!) 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.17,900(!) 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.22,300742,600
Age 45-64345,200440,200(!!) 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.8,300(!) 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.27,000822,000
Age 65+132,800475,500*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.20,500631,300

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

Wales

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.

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.

Keywords

Religion; Equality & Diversity