Average (median) gross weekly and hourly earnings by Welsh local area, English region, UK country and year (£)

Standard shorthand is used in this table: [p] = provisional.

View options

Filters

Data description ( of 2 selected2 selectable options)

Geography ( of 40 selected40 selectable options)

Sex ( of 3 selected3 selectable options)

Year ( of 14 selected14 selectable options)


Data valuesData descriptionGeographySexYear
506.1WeeklyUnited KingdomPersons2012
517.4WeeklyUnited KingdomPersons2013
518.3WeeklyUnited KingdomPersons2014
527.1WeeklyUnited KingdomPersons2015
538.6WeeklyUnited KingdomPersons2016
550WeeklyUnited KingdomPersons2017
568.3WeeklyUnited KingdomPersons2018
585.2WeeklyUnited KingdomPersons2019
585.7WeeklyUnited KingdomPersons2020
609.8WeeklyUnited KingdomPersons2021
641.8WeeklyUnited KingdomPersons2022
687WeeklyUnited KingdomPersons2023
728.3WeeklyUnited KingdomPersons2024
766.6 [p]WeeklyUnited KingdomPersons2025
546WeeklyUnited KingdomMales2012
556.2WeeklyUnited KingdomMales2013
558.6WeeklyUnited KingdomMales2014
567.2WeeklyUnited KingdomMales2015
577.5WeeklyUnited KingdomMales2016
590.9WeeklyUnited KingdomMales2017
608.2WeeklyUnited KingdomMales2018
629.2WeeklyUnited KingdomMales2019
617.5WeeklyUnited KingdomMales2020
650.7WeeklyUnited KingdomMales2021
683.2WeeklyUnited KingdomMales2022
730.2WeeklyUnited KingdomMales2023
774.2WeeklyUnited KingdomMales2024
814.6 [p]WeeklyUnited KingdomMales2025
448.9WeeklyUnited KingdomFemales2012
458.9WeeklyUnited KingdomFemales2013
461.5WeeklyUnited KingdomFemales2014
470.2WeeklyUnited KingdomFemales2015
480.5WeeklyUnited KingdomFemales2016
493.2WeeklyUnited KingdomFemales2017
509WeeklyUnited KingdomFemales2018
527.9WeeklyUnited KingdomFemales2019
543.5WeeklyUnited KingdomFemales2020
558.5WeeklyUnited KingdomFemales2021
587.7WeeklyUnited KingdomFemales2022
632.4WeeklyUnited KingdomFemales2023
672.5WeeklyUnited KingdomFemales2024
709.8 [p]WeeklyUnited KingdomFemales2025
507.9WeeklyGreat BritainPersons2012
517.6WeeklyGreat BritainPersons2013
520.4WeeklyGreat BritainPersons2014
528.5WeeklyGreat BritainPersons2015
540.1WeeklyGreat BritainPersons2016
552WeeklyGreat BritainPersons2017
570.2WeeklyGreat BritainPersons2018
587WeeklyGreat BritainPersons2019
586.8WeeklyGreat BritainPersons2020
611.9WeeklyGreat BritainPersons2021
644.2WeeklyGreat BritainPersons2022
689.6WeeklyGreat BritainPersons2023
730.4WeeklyGreat BritainPersons2024
766.6 [p]WeeklyGreat BritainPersons2025
548.3WeeklyGreat BritainMales2012
558.6WeeklyGreat BritainMales2013
561.2WeeklyGreat BritainMales2014
570WeeklyGreat BritainMales2015
580.4WeeklyGreat BritainMales2016
594WeeklyGreat BritainMales2017
611.1WeeklyGreat BritainMales2018
632.3WeeklyGreat BritainMales2019
622.4WeeklyGreat BritainMales2020
652.8WeeklyGreat BritainMales2021
687.1WeeklyGreat BritainMales2022
733.8WeeklyGreat BritainMales2023
778.2WeeklyGreat BritainMales2024
818.6 [p]WeeklyGreat BritainMales2025
449.3WeeklyGreat BritainFemales2012
459.5WeeklyGreat BritainFemales2013
462.2WeeklyGreat BritainFemales2014
470.6WeeklyGreat BritainFemales2015
480.8WeeklyGreat BritainFemales2016
493.5WeeklyGreat BritainFemales2017
509.1WeeklyGreat BritainFemales2018
528.4WeeklyGreat BritainFemales2019
544.3WeeklyGreat BritainFemales2020
558.5WeeklyGreat BritainFemales2021
587.7WeeklyGreat BritainFemales2022
633WeeklyGreat BritainFemales2023
674.3WeeklyGreat BritainFemales2024
710.6 [p]WeeklyGreat BritainFemales2025
452.5WeeklyWalesPersons2012
470.5WeeklyWalesPersons2013
473.9WeeklyWalesPersons2014
478.6WeeklyWalesPersons2015
493.7WeeklyWalesPersons2016
498.3WeeklyWalesPersons2017
509WeeklyWalesPersons2018
534.8WeeklyWalesPersons2019
541.5WeeklyWalesPersons2020
563.7WeeklyWalesPersons2021
599.7WeeklyWalesPersons2022
636.3WeeklyWalesPersons2023
675.6WeeklyWalesPersons2024
704.3 [p]WeeklyWalesPersons2025
481.5WeeklyWalesMales2012
502WeeklyWalesMales2013
Showing 1 to 100 of 3,360 rows
Page 1 of 34

Main information

Most recent update
28 October 2025
Next update expected
October 2026
Designation
Accredited official statistics
Data provider
Office for National Statistics (ONS)
Data source
Annual Survey of Hours and Earnings (ASHE)

Data notes

Rounding applied

Gross weekly earnings are rounded to one decimal place. Gross hourly earnings are rounded to two decimal places.

Overview

Summary of dataset and variables

These data show average gross weekly and hourly earnings in pounds for Welsh local authorities, English regions, UK countries and aggregations thereof in April of the years shown. The data relate to full-time employees on adult rates whose pay for the survey period was not affected by absence. Area relates to the location of workplace, not the residence of the employee.

Data collection or calculation

The Annual Survey of Hours and Earnings (ASHE) is based on a 1% sample of employee jobs taken from HM Revenue and Customs PAYE records. Consequently, individuals with more than one job may appear in the sample more than once. Information on earnings and hours is obtained from employers and treated confidentially. ASHE does not cover the self-employed or employees not paid during the reference period.

The median is often presented as the headline measure for average earnings because the distribution of earnings is skewed, with more people earning lower salaries than higher salaries. In a skewed distribution a relatively small number of high values can have a disproportionate influence on the mean, pulling it away from what might be regarded as typical. The median is not affected by extreme values and consequently is considered a better indicator of typical “average” earnings.

Statistical quality

The figures are taken from the Annual Survey of Hours and Earnings (ASHE), which is run by the Office for National Statistics (ONS). In 2004, the ASHE replaced the New Earnings Survey (NES) by introducing a new methodology into the calculation of earnings data. This new methodology applies weights to the results to take account of the structure of the population in terms of age, gender, occupation and area of workplace (London and the South East or elsewhere in the UK). The NES data for 1997 to 2003 were reworked to provide a back-series of earnings data using the new methodology.

There were further changes to the ASHE methodology in 2005 as a result of the introduction of a new questionnaire. 2004 data were reworked to be comparable with this new methodology, but it was not possible to do this for earlier years. Thus there are discontinuities in the data that must be taken account of when making comparisons over time.

A new automatic coding system for occupations was introduced in 2007. The main impact of this was to move a number of jobs away from the top occupational groups to other occupational groups. This tended to lower the average earnings in the top occupational groups and to lower earnings overall. Partly in response to the change to the sample design, an additional weighting stratum was introduced for those large enterprises which submit electronic returns to the survey (special arrangements). There was no reduction in the sample amongst these enterprises.

In 2007 and 2008, there was a sample reduction of around 20 per cent. The sample reduction was designed to be biggest in those industries where earnings exhibit lower levels of variation. In 2009 the original sample size was re-instated.

For the publication of the 2011 ASHE estimates, the occupational groups were reclassified. Since the occupational classification forms part of the methodology by which ASHE data are weighted to produce estimates for the UK, this release marked the start of a new time series and therefore care should be taken when making comparisons with earlier years.

As the results 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 regional data are subject to higher variability than the Great Britain or United Kingdom data.

For further information on the quality and methodology of the data please see ONS’ Annual Survey of Hours and Earnings quality and methodology information report.

Published by

Organisation
Welsh Government
Contact email
labourmarket.stats@gov.wales

Select the filtered or whole dataset to download

Select download format

Contains only the dataset
Contains only the dataset
Contains only the dataset

Select number formatting

This includes rounding to decimal places and commas to separate thousands
This includes rounding to decimal places and commas to separate thousands

Select language