Skip to content
As the demand increases for statistics and data to measure the impact of the COVID-19 pandemic, we have had to change our data gathering and release practices, focussing efforts on priority analysis and statistics. https://gov.wales/statistics-and-research

Data Provider: Welsh Government National Statistics Detailed commuting patterns in Wales by Welsh local authority
None
Year[Filtered]
Measure2
[Collapse]Work Area[Filter]
-
[Collapse]Work Area 1
-
[Collapse]Work Area 2
-
Work Area 3
[Collapse]Home Area[Filter]
-
-
[Collapse]Home Area 1
-
-
[Collapse]Home Area 2
-
-
Home Area 3
[Collapse]WalesClick here to sortWales[Collapse]All outside WalesClick here to sortAll outside Wales
[Collapse]North WalesClick here to sortNorth Wales[Collapse]Mid and South West WalesClick here to sortMid and South West Wales[Collapse]South East WalesClick here to sortSouth East Wales[Collapse]EnglandClick here to sortEngland[Collapse]ScotlandClick here to sortScotland[Expand]Click here to sortOutside of UK
[Expand]Click here to sortIsle of Anglesey[Expand]Click here to sortGwynedd[Expand]Click here to sortConwy[Expand]Click here to sortDenbighshire[Expand]Click here to sortFlintshire[Expand]Click here to sortWrexham[Expand]Click here to sortMid Wales[Expand]Click here to sortSouth West Wales[Expand]Click here to sortBridgend[Expand]Click here to sortVale of Glamorgan[Expand]Click here to sortCardiff[Expand]Click here to sortRhondda Cynon Taf[Expand]Click here to sortCaerphilly[Expand]Click here to sortBlaenau Gwent[Expand]Click here to sortTorfaen[Expand]Click here to sortMonmouthshire[Expand]Click here to sortNewport[Expand]Click here to sortMerthyr Tydfil[Expand]Click here to sortNorth East[Expand]Click here to sortNorth West[Expand]Click here to sortYorkshire and the Humber[Expand]Click here to sortEast Midlands[Expand]Click here to sortWest Midlands[Expand]Click here to sortEast[Expand]Click here to sortLondon[Expand]Click here to sortSouth East[Expand]Click here to sortSouth West[Expand]Click here to sortHighland[Expand]Click here to sortScottish Borders, The[Expand]Click here to sortAberdeen City[Expand]Click here to sortAberdeenshire[Expand]Click here to sortAngus[Expand]Click here to sortFife
[Collapse]Wales25,10060,50043,20043,40046,40062,700281,30087,800303,800391,70057,80039,800257,10071,60057,70018,20035,30041,20076,60024,900680,1001,353,100*32,300(!!) 1,500(!!) 1,20016,000(!!) 2,400(!) 3,8005,80026,70089,900***(!!) 1,700*(!!) 1,6006,000(!!) 2,60098,500
Wales[Collapse]North Wales24,90059,90043,20043,30046,30061,900279,500(!!) 1,600(!!) 1,400(!) 3,000***********282,900*31,300**5,400****40,500***(!!) 1,700**(!!) 2,300*43,500
North Wales[Expand]Isle of Anglesey21,4007,500(!!) 800***30,300**************30,600*(!!) 500*******(!!) 1,000********(!) 1,400
[Expand]Gwynedd(!!) 2,70048,900(!!) 1,600(!!) 1,100**54,400(!!) 1,300*(!!) 2,400***********57,000*******************
[Expand]Conwy*(!) 2,40035,7006,600**47,000**************47,100*(!!) 2,200*******(!) 3,200********(!) 3,400
[Expand]Denbighshire**3,40031,1003,000(!) 2,10040,300**************40,400*(!!) 1,600*******(!) 2,200********(!) 2,300
[Expand]Flintshire***(!) 3,70039,1009,40053,700**************53,800*20,100*******21,800***(!!) 1,300**(!!) 1,600*23,400
[Expand]Wrexham****(!) 3,00049,60053,800**************54,100*6,700**(!) 4,500****11,800********12,300
[Collapse]Mid and South West Wales*******82,600289,700372,3006,200*6,100(!!) 2,300***(!!) 2,000**19,300392,100****7,000*(!!) 900(!!) 2,100(!!) 2,40014,500********15,800
Mid and South West Wales[Collapse]Mid Wales*******78,4005,40083,800*******(!!) 1,200**(!) 2,60086,600****6,500****7,600********7,800
Mid WalesCeredigion*******29,2002,90032,000***********32,500******************(!!) 500
Powys*******49,300(!!) 2,50051,800*******(!!) 1,200**(!!) 2,20054,100****6,500****7,200********7,300
[Collapse]South West Wales*******(!) 4,200284,300288,5006,100*(!) 5,500(!!) 2,000******16,700305,500*******(!!) 1,900(!!) 2,1006,900********7,900
South West WalesPembrokeshire********52,60053,200***********53,500*********(!!) 1,300********(!!) 1,500
Carmarthenshire*******(!!) 2,40075,10077,500**********(!!) 2,20079,900*********(!!) 2,100********(!!) 2,500
Swansea********101,600101,800(!!) 2,200*(!!) 2,500*******6,600108,400*********(!!) 2,300********(!!) 2,500
Neath Port Talbot********54,90055,900(!) 3,400*(!!) 2,000*******7,60063,700******************(!!) 1,400
[Collapse]South East Wales******(!!) 1,300(!) 3,60012,80016,40051,60039,100250,90069,30057,20018,10034,70039,00076,00024,300660,300678,100****3,600*(!!) 2,000(!!) 3,20023,80034,900*****(!!) 1,300(!!) 2,600(!!) 1,70039,200
South East Wales[Expand]Bridgend********6,5006,80043,500(!!) 1,0009,000(!!) 1,900******57,00063,700*********(!!) 1,200********(!!) 2,500
[Expand]Vale of Glamorgan*********(!!) 1,100(!!) 2,70030,00022,800(!!) 1,600******58,90060,000*********(!!) 1,300********(!!) 1,600
[Expand]Cardiff***********(!!) 4,400161,700(!!) 4,100(!!) 2,800***(!) 8,200*185,000187,100*********(!!) 5,300********(!!) 6,300
[Expand]Rhondda Cynon Taf*********(!!) 1,800(!!) 2,600(!!) 1,70022,90053,200(!) 5,100*(!!) 2,100*(!!) 3,200(!) 4,90097,40099,900*********(!!) 2,700********(!!) 3,200
[Expand]Caerphilly*********(!!) 1,200**15,400(!) 3,90040,200(!!) 1,600(!!) 2,700(!!) 1,9008,600*76,90078,200********(!!) 1,400(!!) 2,600********(!!) 2,600
[Expand]Blaenau Gwent*******(!!) 700*(!!) 1,300**(!) 1,800*3,30013,300(!!) 1,3003,000(!!) 1,000(!) 2,40026,80028,300********(!!) 900(!!) 1,600********(!!) 1,700
[Expand]Torfaen************3,600*(!!) 1,500*21,300(!) 2,7006,500*36,90037,400********(!) 2,2003,100********3,400
[Expand]Monmouthshire************(!) 2,100**(!!) 700(!!) 1,00026,7004,000*35,30035,800****(!!) 900***7,1008,500********8,600
[Expand]Newport************8,700*(!!) 1,300*4,800(!) 2,90042,800*61,70062,200********6,7008,000********8,500
[Expand]Merthyr Tydfil*********(!!) 1,000**2,800(!) 2,800(!) 1,900(!!) 1,000***14,60024,30025,500*********(!!) 700********(!!) 900
[Collapse]All outside Wales****(!!) 7,10010,40021,400(!) 4,800(!!) 3,600(!) 8,400**(!!) 3,100****(!!) 4,400**13,00042,700*******************
All outside Wales[Collapse]England****(!!) 7,000(!) 10,20020,500(!) 4,700*(!) 7,900**(!!) 2,900****(!!) 4,300**12,20040,500*******************
England[Expand]North East*****************************************
[Expand]North West****(!!) 6,300(!!) 6,30014,700**************15,700*******************
[Expand]West Midlands*****(!!) 3,900(!!) 4,900(!!) 3,900*(!!) 4,100**********(!!) 1,60010,500*******************
[Expand]East*****************************************
[Expand]London*****************************************
[Expand]South East*****************************************
[Expand]South West*****************(!!) 3,900**(!!) 6,400(!!) 7,000*******************
[Expand]Scotland*********************(!!) 2,000*******************

Metadata

Title
Detailed commuting patterns by Welsh local authority

Last update
31 March 2020 31 March 2020

Next update
March 2021

Publishing organisation
Welsh Government

Source 1
Annual Population Survey, 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 only

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 dataset provides information on commuting patterns by local authority in Wales and flows between Wales and the rest of the UK.

Data collection and calculation
ONS have reweighted the APS to take account of population data from the 2011 Census. Therefore, all estimates from quarter 4 of 2004 to quarter 3 of 2014 have been revised.

The Annual Population Survey, which includes the WLLFS, is an annual sample survey of households living at private addresses in the UK. The annual survey uses results from those sampled for the main quarterly Labour Force Survey and since 2001 additional persons have been sampled on an annual basis to provide a more robust (boosted) annual dataset across the UK, with estimates subject to much lower sampling variability. For Wales, the data are now based on an enhanced sample (around 350 per cent larger) compared to earlier years.

The additional persons sampled in the APS are based on four waves, over four years of the survey. For the first wave, the response rate in Wales is around 60%, with around 75% of these remaining by the fourth wave. In total, approaching 20,000 households are sampled each year for the APS in Wales.
The APS relates to calendar years, whereas the WLLFS used the year ending in February. Therefore values for 2001 to 2003 relate to the years ending February 2002, February 2003 and February 2004. Subsequent values relate to calendar years.

The Welsh Local Labour Force Survey (WLLFS) only contains data for those living in Wales, excluding those commuting into Wales from the rest of the UK.

Frequency of publication
Annual

Data reference periods
2001 to 2019

Users, uses and context
We believe the key users of commuting in Wales statistics are:
Ministers and the Members Research Service in the National Assembly for Wales;
Other areas of the Welsh Government;
Welsh Local Authorities
Other government departments;
Students, academics and universities;
Individual citizens and private companies.
The statistics are used in a variety of ways. Some examples of the uses include: Advice to Ministers; Research and general background material;
To inform debate in the National Assembly for Wales and beyond.

Revisions information
In March 2019, the Annual Population Survey data has been revised back to 2012, due to taking on board the latest population estimates.

Statistical quality
As the LFS/APS is a sample survey all estimates are subject to sampling variability. This is because the sample selected is one of only a very large number of possible samples that could have been drawn from the population. Standard errors (SEs) are commonly used as indicators of the extent to which the estimate based on a sample differs from the true population value. The larger the standard error, the less precise the estimate is. Coefficients of variation (CV) give the standard error as a proportion of the estimate itself.

Keywords
Commuting