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Data Provider: Welsh Government Experimental Statistics Disability by Age and Sex
None
Year[Filtered]
Measure[Filtered]
[Collapse]Disabled Status[Filtered]
-
Disabled Status 1[Filtered]
Measure2
[Collapse]Age(Ascending)[Filter]
-
Age 1
[Collapse]Sex[Filter]
-
-
Sex 1
[Collapse]TotalClick here to sortTotal
Click here to sortAge 16-24Click here to sortAge 25-34Click here to sortAge 35-44Click here to sortAge 45-54Click here to sortAge 55-64
[Collapse]Total49,40060,00061,800102,300124,100397,600
TotalFemale(!) 25,80034,90034,90056,90067,300219,800
Male(!) 23,600(!) 25,100(!) 26,90045,40056,900177,900

Metadata

Title
Annual Population Survey: Disability

Last update
June 2019 June 2019

Next update
May 2020

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 aged 16 to 64 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
Disability; Equality & Diversity