Skip to content

Data Provider: Welsh Government National Statistics Average (median) gross weekly earnings by Welsh local areas and year (£)
None
[Collapse]Gender[Filtered]
-
Gender 1[Filter]
Area Code[Filter]
Measure[Filtered]
Measure2
Year[Filtered]
[Collapse]Area[Filter]
-
-
[Collapse]Area 1
-
-
[Collapse]Area 2
-
-
Area 3
Click here to sort1997Click here to sort1998Click here to sort1999Click here to sort2000Click here to sort2001Click here to sort2002Click here to sort2003Click here to sort2004 (including supplementary survey information)Click here to sort2005Click here to sort2006 (consistent with 2007)Click here to sort2007Click here to sort2008Click here to sort2009Click here to sort2010Click here to sort2011 (consistent with 2012)Click here to sort2012Click here to sort2013Click here to sort2014Click here to sort2015Click here to sort2016Click here to sort2017
[Collapse]Wales301309317328341349364381390400404420440451451453471474479(r) 494(p) 498
Wales[Collapse]West Wales and the Valleys..........................................
West Wales and the Valleys[Collapse]Isle of Anglesey, Gwynedd, Conwy and Denbighshire..........................................
Isle of Anglesey, Gwynedd, Conwy and DenbighshireIsle of Anglesey341315312325314316367388401402418433441430425458450475517(r) 508(p) 467
Gwynedd264300291287287322314347364396388386398412413399412422415(r) 436(p) 421
Conwy249259282294306314363409395377375416361420416454443461474(r) 451(p) 449
Denbighshire289307314338339340319349355360379422457435462454479500510(r) 501(p) 498
[Collapse]Ceredigion, Pembrokeshire and Carmarthenshire..........................................
Ceredigion, Pembrokeshire and CarmarthenshireCeredigion290256265279285316310335338332349361400374420404429438414(r) 456(p) 468
Pembrokeshire268264288297301279340332343372363416438454460413473462434(r) 455(p) 449
Carmarthenshire287303297298309330333329363377399413424441414418460462462(r) 459(p) 506
[Collapse]Swansea, Neath Port Talbot and Bridgend..........................................
Swansea, Neath Port Talbot and BridgendSwansea302308314320340330343359361365378371420427441441439466460(r) 466(p) 474
Neath Port Talbot333374365386391401434405435471471492512540500496528513551(r) 529(p) 565
Bridgend278299304316334342362375431419420435455474479498484510512(r) 539(p) 536
[Collapse]Rhondda Cynon Taf and Merthyr Tydfil..........................................
Rhondda Cynon Taf and Merthyr TydfilRhondda Cynon Taf276288308313297327350363355378405407422426433426469478490(r) 494(p) 499
Merthyr Tydfil324311312299310334325356382332362386385407413406415405410454(p) 427
[Collapse]Caerphilly, Blaenau Gwent and Torfaen..........................................
Caerphilly, Blaenau Gwent and TorfaenCaerphilly297311319342326314316362355391401403429450434451450467483(r) 512(p) 502
Blaenau Gwent286285267300312284320344370380339364373378397383410431444409(p) 493
Torfaen323313319310344355358373399425400365401437412409456451461(r) 467(p) 500
[Collapse]East Wales..........................................
East Wales[Collapse]Flintshire and Wrexham..........................................
Flintshire and WrexhamFlintshire317342351364388401415422455448431462480486506504536528529(r) 552(p) 536
Wrexham292305311332359352370389382402397402448455422450474439465(r) 488(p) 494
[Collapse]Powys and Monmouthshire..........................................
Powys and MonmouthshirePowys271281287306316338363345348368366365397382396400414405436(r) 458(p) 460
Monmouthshire282272303303310310363374437398377443409418452438427464477(r) 488(p) 539
[Collapse]Cardiff, Newport and the Vale of Glamorgan..........................................
Cardiff, Newport and the Vale of GlamorganCardiff317317328348357366379419396416426453460488482486518504512(r) 534(p) 529
Newport320345349349362374392397418422424450452473470452484472451(r) 471(p) 475
The Vale of Glamorgan324321321350366392396413444436465478509527532493462456437(r) 482(p) 502
[Collapse]North Wales Economic Region[Collapse]North Wales Economic Region[Collapse]North Wales Economic RegionNorth Wales Economic Region..............................452472469479....
[Collapse]Mid Wales Economic Region[Collapse]Mid Wales Economic Region[Collapse]Mid Wales Economic RegionMid Wales Economic Region..............................400422418431....
[Collapse]South West Wales Economic Region[Collapse]South West Wales Economic Region[Collapse]South West Wales Economic RegionSouth West Wales Economic Region..............................441460475470....
[Collapse]South East Wales Economic Region[Collapse]South East Wales Economic Region[Collapse]South East Wales Economic RegionSouth East Wales Economic Region..............................460479480482....

Metadata

Title
Average earnings data by Welsh local areas

Last update
26 October 2017 26 October 2017

Next update
October 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
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

General description
These data show average gross weekly earnings in pounds for the 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.

The local authority aggregations are not yet available as we did not have access to these figures in advance of the publication. These will be updated as soon as possible.


Data collection and calculation
The figures are taken from the Annual Survey of Hours and Earnings (ASHE) 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 and occupation and area of workplace (the latter being in London and the South East or elsewhere in the UK). The NES data for 1997 to 2003 have been 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 have been reworked to be comparable with this new methodology, but it has not been possible to do this for earlier years. Thus there is a discontinuity in the data that must be taken account of when making comparisons in earnings data over time. To help with this, there are two estimates for 2004, one on the previous basis (referred to as excluding supplementary survey information) and one on the new basis (referred to as including supplementary survey information).



In 2007 and 2008, there was a sample reduction of around 20 per cent. The sample reduction has been designed to be biggest in those industries where earnings exhibit lower levels of variation.

A new automatic coding system for occupations was introduced in 2007. The main impact of this has been to move a number of jobs away from the top occupational groups to other occupational groups. This has 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 has been introduced for those large enterprises which submit electronic returns to the survey (special arrangements). There has been no reduction in the sample amongst these enterprises. The ONS has produced a version of the 2006 ASHE results which includes the automatic occupational coding change and the special arrangements weighting stratum. This enables year-on-year comparisons to be made which take account of these two changes. These are referred to as 2006 (consistent with 2005) and 2006 (consistent with 2007).

In 2009 the original sample size was re-instated.

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 and are wholly enclosed within the NUTS2 boundaries in Wales that are used to determine European Funding allocations. Figures for the two NUTS2 areas (West Wales and the Valleys and East Wales) are also included.

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.

Where the estimate for any cell in this dataset is not considered to be precise (due to excessive sampling variability), a cellnote is included against the estimate indicating the quality rating as either reasonably precise [marked by (!)] or acceptable [marked by (!!)]. Where such a cellnote exists, particularly the latter, or in cases where the variability exceeds acceptable limits and is suppressed, it is recommended that the user moves up to the next level in the hierarchical aggregation of areas if using the figure in any analysis, particularly if considering change over time.

Frequency of publication
Annual

Data reference periods
1997 to 2017

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

Statistical quality
The figures are taken from the Annual Survey of Hours and Earnings (ASHE) 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 and occupation and area of workplace (the latter being in London and the South East or elsewhere in the UK). The NES data for 1997 to 2003 have been 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 have been reworked to be comparable with this new methodology, but it has not been possible to do this for earlier years. Thus there is a discontinuity in the data that must be taken account of when making comparisons in earnings data over time. To help with this, there are two estimates for 2004, one on the previous basis (referred to as excluding supplementary survey information) and one on the new basis (referred to as including supplementary survey information).
In 2007 and 2008, there was a sample reduction of around 20 per cent. The sample reduction has been designed to be biggest in those industries where earnings exhibit lower levels of variation.
A new automatic coding system for occupations was introduced in 2007. The main impact of this has been to move a number of jobs away from the top occupational groups to other occupational groups. This has 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 has been introduced for those large enterprises which submit electronic returns to the survey (special arrangements). There has been no reduction in the sample amongst these enterprises. The ONS has produced a version of the 2006 ASHE results which includes the automatic occupational coding change and the special arrangements weighting stratum. This enables year-on-year comparisons to be made which take account of these two changes. These are referred to as 2006 (consistent with 2005) and 2006 (consistent with 2007).
In 2009 the original sample size was re-instated. 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 and are wholly enclosed within the NUTS2 boundaries in Wales that are used to determine European Funding allocations. Figures for the two NUTS2 areas (West Wales and the Valleys and East Wales) are also included.
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.
Where the estimate for any cell in this dataset is not considered to be precise (due to excessive sampling variability), a cellnote is included against the estimate indicating the quality rating as either reasonably precise [marked by (!)] or acceptable [marked by (!!)]. Where such a cellnote exists, particularly the latter, or in cases where the variability exceeds acceptable limits and is suppressed, it is recommended that the user moves up to the next level in the hierarchical aggregation of areas if using the figure in any analysis, particularly if considering change over time.

Weblinks
www.ons.gov.uk

Keywords
Average weekly earnings