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Data Provider: Welsh Government National Statistics Average (mean) gross weekly earnings by Welsh local areas and year (£)
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[Collapse]Wales337349359373386405422444438455469466472498506516519516521538539550(r) 567(p) 579
Wales[Collapse]West Wales and the Valleys326340349361370389402422419443453451459481494505505502506524532......
West Wales and the Valleys[Collapse]Isle of Anglesey, Gwynedd, Conwy and Denbighshire315323331353354397388414410445455453464488477480488485489519520......
Isle of Anglesey, Gwynedd, Conwy and DenbighshireIsle of Anglesey372355367380370373407463452483485484445528489475465464484495524677(r) 525(p) 504
Gwynedd297320324333354400384385384436479478478474459467476473442489498479(r) 505(p) 527
Conwy287293305328335360395437432461448445462484434471475473526524510528(r) 519(p) 517
Denbighshire331337343385360433372406404409416414460488531511526519508554550562(r) 578(p) 556
[Collapse]Ceredigion, Pembrokeshire and Carmarthenshire323317339346356365392399392431437437458494500514508509487528545......
Ceredigion, Pembrokeshire and CarmarthenshireCeredigion317305317345346372372400398411403404432426439424451458455494505490(r) 522(p) 560
Pembrokeshire339316356363374336412406401431448446453534537585562560484555544541(r) 548(p) 556
Carmarthenshire314324339338350378388395383438442443470494501506495495506525564555(r) 561(p) 605
[Collapse]Swansea, Neath Port Talbot and Bridgend332360366372392399420432430455462459468484503526527522538525540......
Swansea, Neath Port Talbot and BridgendSwansea323350356362381387394411410428434431448454477497515512528507527539(r) 546(p) 570
Neath Port Talbot353392391397418420454448441469487486487507522550538530533542538559(r) 559(p) 582
Bridgend325345360366387402436458460500493489488522533551539535564543566551(r) 604(p) 616
[Collapse]Rhondda Cynon Taf and Merthyr Tydfil329350357367361392409437433430449447449465493491494493496531528......
Rhondda Cynon Taf and Merthyr TydfilRhondda Cynon Taf319338351361355388403436434419464460448463496491496494504543546559(r) 568(p) 570
Merthyr Tydfil358394381392381403428440428460409409453469482491487487469491478536(r) 572(p) 547
[Collapse]Caerphilly, Blaenau Gwent and Torfaen327333345358372379393421419442456455445466493501494491491516519......
Caerphilly, Blaenau Gwent and TorfaenCaerphilly325335353369373382387426425433459456454471500502501499519532541555(r) 571(p) 588
Blaenau Gwent313309311327355341377410398443446443400463444463465465445468485503(r) 502(p) 547
Torfaen336345355361379392407422423454460459456461510525501495476521507507531(p) 567
[Collapse]East Wales350359371388406426445470461470488485489521522529538534540557549......
East Wales[Collapse]Flintshire and Wrexham347364374394406418429450446469482480481481519515518516517543547......
Flintshire and WrexhamFlintshire350377384407424442450465460490496494489489535526549549543571578562(r) 602(p) 591
Wrexham343348360377382386398429427443459458470470496501481477485506506519(r) 519(p) 562
[Collapse]Powys and Monmouthshire322330336350361376414425414443449445424456451449474472490486488......
Powys and MonmouthshirePowys325326323342358375406401388403418414413433432441459457466486470484(r) 519(p) 535
Monmouthshire319336355360365377424448439482484480436485473458494491515486509533(r) 555(p) 600
[Collapse]Cardiff, Newport and the Vale of Glamorgan358364378394416440457487478476500496506551541554558553559578564......
Cardiff, Newport and the Vale of GlamorganCardiff359356372401425454467498491473495491515565550556561556571587578598(r) 624(p) 617
Newport342376382379398405429459445477491488477521510548536534519552521538(r) 553(p) 562
The Vale of Glamorgan383382393391408428454471459488547544517539556554584579577575568569(r) 620(p) 635
[Expand]North Wales Economic Region331342353374378407407432428456468466472485497497502499502530532......
[Expand]Mid Wales Economic Region323320321343354374394401392406412411420430435435456457462489483......
[Expand]South West Wales Economic Region331351359363381385408416411438448447461484500523523519517525540......
[Expand]South East Wales Economic Region343353366379394415435464457465483480481517520529532529536552548......

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