Marital Status by Region
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Metadata
Title
Annual Population Survey: Marital StatusLast update
January 2022Next update
November 2022Publishing organisation
Welsh GovernmentSource 1
Annual Population Survey, Office for National StatisticsContact email
stats.inclusion@gov.walesDesignation
Experimental statisticsLowest level of geographical disaggregation
WalesGeographical coverage
WalesLanguages covered
English and WelshData 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-licenceGeneral 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
AnnualData reference periods
Figures shown relate to multi-year averages, as indicatedRounding 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
Annual Population Survey (APS) responses are weighted to official population projections. The projections for 2020 were 2018-based, and, therefore, were based on demographic trends that pre-dated the COVID-19 pandemic. To allow for different trends during the pandemic the responses for the APS have been reweighted on the 9 September 2021 to new populations derived using growth rates from HM Revenue and Customs (HMRC) Real Time Information (RTI). The reweighting has been applied from year ending March 2020 data onwards and gives improved estimates of both rates and levels. The changes ONS have made to the weighting should reduce the bias of estimates at high levels of aggregation. Some smaller breakdowns may be impacted negatively and more extreme changes could be seen given the reduced size of the underlying sample since the start of the pandemic.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.