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Data Provider: Welsh Government National Statistics Average (median) gross hourly earnings by Welsh local areas and year (£)
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[Collapse]Gender[Filtered]
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Gender 1[Filter]
Measure[Filtered]
Measure2
[Collapse]YearMethodological changes in 2004, 2006 and 2011 resulted in discontinuities in the time series; therefore care should be taken when making comparisons with other years. See statistical quality information for more details.[Filter]
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Year 1
[Collapse]AreaThe areas shown are the Welsh local authorities, together with successive aggregations thereof, including the Welsh NUTS2 areas used to determine European Funding allocations. Please note that due to small sample sizes it is also not advisable to make year-on-year comparisons at a local authority level. To get around this, a set of aggregations of local authorities has been created, for which comparisons over time can be considered more robust. These aggregations group similar local authorities together. [Filter]
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[Collapse]Area 1
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[Collapse]Area 2
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Area 3
[Collapse]1997 to 2003[Collapse]2004 to 2005[Collapse]2006 to 2010[Collapse]2011 onwards
Click here to sort1997Data for 1997 are only directly comparable to the 1998-2003 estimates, comparisons with other years are not strictly valid.Click here to sort1998Data for 1998 are only directly comparable to the 1997-2003 estimates, comparisons with other years are not strictly valid.Click here to sort1999Data for 1999 are only directly comparable to the 1997-2003 estimates, comparisons with other years are not strictly valid.Click here to sort2000Data for 2000 are only directly comparable to the 1997-2003 estimates, comparisons with other years are not strictly valid.Click here to sort2001Data for 2001 are only directly comparable to the 1997-2003 estimates, comparisons with other years are not strictly valid.Click here to sort2002Data for 2002 are only directly comparable to the 1997-2003 estimates, comparisons with other years are not strictly valid.Click here to sort2003Data for 2003 are only directly comparable to the 1997-2002 estimates, comparisons with other years are not strictly valid.Click here to sort2004Data for 2004 are only directly comparable to the 2005 estimates, comparisons with other years are not strictly valid.Click here to sort2005Data for 2005 are only directly comparable to the 2004 estimates, comparisons with other years are not strictly valid.Click here to sort2006Data for 2006 are only directly comparable to the 2007-2010 estimates, comparisons with other years are not strictly valid.Click here to sort2007Data for 2007 are only directly comparable to the 2006-2010 estimates, comparisons with other years are not strictly valid.Click here to sort2008Data for 2008 are only directly comparable to the 2006-2010 estimates, comparisons with other years are not strictly valid.Click here to sort2009Data for 2009 are only directly comparable to the 2006-2010 estimates, comparisons with other years are not strictly valid.Click here to sort2010Data for 2008 are only directly comparable to the 2006-2009 estimates, comparisons with other years are not strictly valid.Click here to sort2011Data for 2011 are only directly comparable to the 2012 estimates onwards, comparisons with other years are not strictly valid.Click here to sort2012Data for 2012 are only directly comparable to the 2011 estimates onwards, comparisons with other years are not strictly valid.Click here to sort2013Data for 2013 are only directly comparable to the 2011 estimates onwards, comparisons with other years are not strictly valid.Click here to sort2014Data for 2014 are only directly comparable to the 2011 estimates onwards, comparisons with other years are not strictly valid.Click here to sort2015Data for 2015 are only directly comparable to the 2011 estimates onwards, comparisons with other years are not strictly valid.Click here to sort2016Data for 2016 are only directly comparable to the 2011 estimates onwards, comparisons with other years are not strictly valid.Click here to sort2017Data for 2017 are only directly comparable to the 2011 estimates onwards, comparisons with other years are not strictly valid.Click here to sort2018Data for 2018 are only directly comparable to the 2011 estimates onwards, comparisons with other years are not strictly valid.Click here to sort2019Data for 2019 are only directly comparable to the 2011 estimates onwards, comparisons with other years are not strictly valid.Click here to sort2020Data for 2020 are only directly comparable to the 2011 estimates onwards, comparisons with other years are not strictly valid.Click here to sort2021Data for 2021 are only directly comparable to the 2011 estimates onwards, comparisons with other years are not strictly valid.Click here to sort2022Data for 2022 are only directly comparable to the 2011 estimates onwards, comparisons with other years are not strictly valid.Click here to sort2023Data for 2023 are only directly comparable to the 2011 estimates onwards, comparisons with other years are not strictly valid.
[Collapse]Wales7.407.567.868.158.438.659.069.519.7710.0210.2210.6611.1211.3711.4611.4811.9211.9412.1112.5712.5512.7613.5313.8914.2015.18(p) The data item is provisional.16.42
Wales[Collapse]West Wales and the Valleys[Collapse]Isle of Anglesey, Gwynedd, Conwy and DenbighshireIsle of Anglesey7.977.768.168.347.607.949.219.309.599.8710.4311.0211.7510.8711.0911.6411.7812.0213.5812.6211.1311.0513.2512.6114.1014.52(p) The data item is provisional.16.86
Gwynedd6.767.137.157.277.608.038.038.669.049.949.9610.0010.1010.7510.6410.0910.1710.0010.0510.7610.5611.3312.0112.5713.8314.22(p) The data item is provisional.14.81
Conwy6.116.727.027.567.487.908.529.739.749.719.6610.749.8710.5810.8611.9411.2711.9812.0411.9911.4711.9912.5814.1912.9313.66(p) The data item is provisional.14.72
Denbighshire7.237.857.568.428.588.248.318.759.139.319.6110.7111.9211.4712.1112.0812.7613.1513.1813.0312.1812.6613.0013.8314.9914.44(p) The data item is provisional.15.21
[Collapse]Ceredigion, Pembrokeshire and CarmarthenshireCeredigion6.566.636.787.467.497.818.118.588.788.309.259.139.709.2910.889.9010.4611.1510.4512.1312.0012.0612.8511.6214.0014.56(p) The data item is provisional.14.90
Pembrokeshire6.526.406.697.267.417.118.508.208.379.359.0010.3110.8611.4511.5810.3511.4411.6511.0511.0810.8811.6012.2512.3813.6314.27(p) The data item is provisional.15.80
Carmarthenshire6.717.047.067.217.548.068.018.129.079.4510.0411.2010.5510.9310.4110.4111.0911.5811.6611.6412.6211.8413.0914.5513.9314.74(p) The data item is provisional.16.64
[Collapse]Swansea, Neath Port Talbot and BridgendSwansea7.377.757.958.118.518.178.579.229.299.459.569.7010.8111.0511.2811.1511.2412.0611.7311.9912.5912.9213.1813.4814.2815.14(p) The data item is provisional.16.25
Neath Port Talbot8.278.909.049.219.5410.0111.0710.6410.8511.8312.2912.9313.1113.5312.2212.4513.3212.6813.0912.9314.8414.4314.8614.3114.4315.76(p) The data item is provisional.17.38
Bridgend6.807.027.687.958.158.368.829.2810.3910.6710.8711.0911.6612.0311.7512.7811.9512.4113.1113.2213.6513.9513.4813.8715.4314.36(p) The data item is provisional.15.43
[Collapse]Rhondda Cynon Taf and Merthyr TydfilRhondda Cynon Taf6.867.147.657.477.438.058.539.188.889.8610.3110.2810.8710.3211.1611.1611.8712.1312.5012.6812.6712.5513.6213.6314.0114.10(p) The data item is provisional.15.74
Merthyr Tydfil7.957.927.597.237.428.187.938.158.948.588.899.659.9210.4910.2610.2110.2410.2710.6311.7911.6111.9611.7612.8313.8214.32(p) The data item is provisional.14.51
[Collapse]Caerphilly, Blaenau Gwent and TorfaenCaerphilly7.528.058.218.778.007.957.978.959.059.4710.0110.2010.6710.8110.6911.4811.5311.9912.2812.9712.7212.8213.0413.4813.8015.06(p) The data item is provisional.16.62
Blaenau Gwent7.006.817.137.758.007.528.118.659.329.358.739.7210.1110.2910.1510.3510.5710.7210.9311.0413.0612.4612.3513.4113.9913.79(p) The data item is provisional.15.46
Torfaen8.057.507.868.038.738.618.959.2510.1210.199.929.7410.6911.3910.7710.7311.4611.5211.5511.9112.5613.2413.5013.4814.3616.53(p) The data item is provisional.16.80
[Collapse]East Wales[Collapse]Flintshire and WrexhamFlintshire7.628.068.729.169.6910.3210.2810.6811.6011.6510.6411.4112.2411.9512.6412.5213.3913.2213.2114.0812.7013.0113.5914.0213.8814.79(p) The data item is provisional.15.79
Wrexham7.437.727.927.948.528.548.659.349.749.9510.099.9011.1611.3110.6311.0911.3010.8911.7212.0012.1312.0913.5414.3914.1615.59(p) The data item is provisional.16.19
[Collapse]Powys and MonmouthshirePowys6.526.756.837.377.688.189.018.479.108.678.998.989.469.169.319.9010.2810.3510.7310.9811.0011.9712.8012.8313.2113.66(p) The data item is provisional.14.94
Monmouthshire7.207.347.527.537.667.658.779.369.9510.289.5710.7810.7910.5611.5310.8011.2511.2611.6612.2013.4213.4614.2514.6013.9814.99(p) The data item is provisional.16.62
[Collapse]Cardiff, Newport and the Vale of GlamorganCardiff7.857.938.258.758.959.379.6010.5810.0510.6010.8511.6311.6312.2912.3412.5413.3513.2113.5513.7513.7313.5414.9114.9315.5716.83(p) The data item is provisional.17.38
Newport7.798.218.448.559.189.569.639.6910.3910.0010.4010.7111.3411.7411.7311.2012.3011.2711.5712.2612.3612.4712.9613.9113.5515.10(p) The data item is provisional.16.80
The Vale of Glamorgan8.147.958.418.869.1110.409.6410.6011.7011.5712.3212.0013.1313.2113.2612.6812.5211.3111.2612.8112.2812.0214.6213.3813.4114.32(p) The data item is provisional.14.30
[Expand]North Wales Economic Region7.227.417.778.158.518.878.869.649.9510.2410.1710.6611.3211.2411.3511.3811.8411.8512.1212.5211.9012.2313.12.The data item is not applicable14.0614.81(p) The data item is provisional.15.59
[Expand]Mid Wales Economic Region6.546.746.817.397.528.088.608.649.058.679.229.049.609.199.919.9110.3510.7810.6911.4211.1011.9812.82.The data item is not applicable13.6914.22(p) The data item is provisional.14.94
[Expand]South West Wales Economic Region7.337.617.898.028.398.379.069.239.459.9710.0610.5711.2211.5011.2811.1511.4311.9911.8712.1512.7612.6613.21.The data item is not applicable14.1315.12(p) The data item is provisional.16.58
[Expand]South East Wales Economic Region7.587.688.008.338.498.769.139.839.9010.1610.3710.8511.2411.5811.6511.8212.3112.1812.4812.8912.9313.0213.97.The data item is not applicable14.4015.60(p) The data item is provisional.16.65
[Expand]Mid & South West Wales Economic Region7.237.337.587.898.128.278.959.079.289.559.8810.2610.9211.1411.0710.9211.2211.6211.5311.9812.4612.4813.11.The data item is not applicable14.0115.05(p) The data item is provisional.16.15

Metadata

General description

These data show average gross weekly and hourly earnings in pounds for Welsh local authorities 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 and 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.

Frequency of publication

Annual

Data reference periods

1997 to 2023

Revisions information

Data for the latest year are provisional and are revised on the release on the next years data.

Title

Average earnings data by Welsh local areas

Last update

2 February 2024 2 February 2024

Next update

TBC

Publishing organisation

Welsh Government

Source 1

Annual Survey of Hours and Earnings, Office for National Statistics

Contact email

LabourMarket.Stats@gov.wales

Designation

National Statistics

Lowest level of geographical disaggregation

Local authorities

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

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: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/methodologies/annualsurveyofhoursandearningslowpayandannualsurveyofhoursandearningspensionresultsqmi

Keywords

Average weekly earnings

Weblinks

www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours

Name

Econ0008