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As the demand increases for statistics and data to measure the impact of the COVID-19 pandemic, we have had to change our data gathering and release practices, focussing efforts on priority analysis and statistics.

Data Provider: Welsh Government Experimental Statistics Marital Status by Region
Area Code[Filter]
Region 1
[Collapse]Marital Status[Filter]
Marital Status 1
[Collapse]TotalClick here to sortTotal
Click here to sortNorth WalesClick here to sortMid and South West WalesClick here to sortSouth East Wales
Married / Civil Partnership282,400361,900574,7001,219,100
Widowed / Surviving Civil Partnership39,30053,20081,400173,900
Divorced / Separated / Dissolved Civil Partnership60,30083,700125,300269,300


Annual Population Survey: Marital Status

Last update
February 2019 February 2019

Next update
February 2020

Publishing organisation
Welsh Government

Source 1
Annual Population Survey, Office for National Statistics

Contact email

Experimental statistics

Lowest level of geographical disaggregation

Geographical coverage

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

General description
This table presents data on all people aged 16 and over 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

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.

Marital Status; Equality & Diversity