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Data Provider: Welsh Government National Statistics Gender pay difference by UK country and English region (median hourly earnings for full-time employees)
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Year[Filtered]
Measure[Filtered]
Measure2
Gender[Filter]
[Collapse]Area[Filter]
-
-
Area 1
Click here to sortMaleClick here to sortFemaleClick here to sortDifference
[Collapse]United Kingdom(p) 15(p) 13(p) 1
United KingdomNorth East(p) 13(p) 12(p) 1
North West(p) 14(p) 12(p) 1
Yorkshire and the Humber(p) 13(p) 12(p) 1
East Midlands(p) 13(p) 11(p) 2
West Midlands(p) 14(p) 12(p) 2
East(p) 14(p) 13(p) 2
London(p) 20(p) 17(p) 3
South East(p) 15(p) 13(p) 2
South West(p) 14(p) 12(p) 2
Wales(p) 13(p) 12(p) 1
Scotland(p) 14(p) 13(p) 1
Northern Ireland(p) 12(p) 13(p) 0

Metadata

Title
Gender pay difference (median weekly earnings for full-time employees)

Last update
October 2017 October 2017

Next update
November 2018

Publishing organisation
Welsh Government

Source 1
Annual Survey of Hours and Earnings, Office for National Statistics

Contact email
economic.stats@gov.wales

Designation
National Statistics

Lowest level of geographical disaggregation
UK regions

Geographical coverage
UK regions

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 data shows median average gross weekly earnings in pounds for male and female full-time employees on full adult rates whose pay for the survey period was not affected by absence, and the difference between these figures. Full-time employees are those working more than 30 paid hours per week (or 25 or more for the teaching professions).

The data is from the Annual Survey of Hours and Earnings (ONS) and is workplace-based rather than residence-based. ASHE headline statistics use the median rather than the mean. The median is the value below which 50% of employees fall and is the preferred measure of average earnings as it is less affected by a relatively small number of very high earners and the skewed distribution of earnings. ASHE data for 2015 is based on approximately 187,000 returns. Interpretation of the gender pay gap should be made in the context of the overall pay levels.


Frequency of publication
Annual

Data reference periods
1997 to 2017

Statistical quality
The data come from a survey so the results are sample-based estimates and are therefore subject to sampling error. The data is also subject to non-sampling error. There are known differences between the coverage of the ASHE sample and the target population (all employee jobs). Jobs that are not registered on PAYE schemes are not surveyed and these jobs typically have low levels of pay. Consequently, ASHE estimates of average pay are likely to be biased upwards. Non-response bias may also occur if the jobs for which respondents do not provide information are different to the jobs for which respondents do provide information. This is likely to be a downward bias on estimates since non-response affects high-paying occupations more than low-paying occupations.

Methodological changes in 2004, 2006 and 2011 resulted in discontinuities in the ASHE time series therefore care should be taken when making comparisons with earlier years.

Weblinks
https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/bulletins/annualsurveyofhoursandearnings/previousReleases

Keywords
Earnings

Name
ECON0101