Skip to content
Data Provider: Welsh Government National Statistics Commuting patterns by Welsh local authority and measure

Responses for work location relate to the respondent’s usual working pattern if coronavirus restrictions were not in place. Therefore, data for 2020 and 2021 do not reflect actual commuting patterns observed during the pandemic.

None
Year[Filtered]
Measure2
MeasureResponses for work location relate to the respondent\’s usual working pattern if coronavirus restrictions were not in place.[Filter]
[Collapse]Area[Filter]
-
-
[Collapse]Area 1
-
-
[Collapse]Area 2
-
-
Area 3
Click here to sortTotal number of working residents in the areaThis shows the total number of residents who are in work, including those who commute out of the area. This may differ to official employment levels as it only includes those who have specified their work location.Click here to sortTotal number of people working in the areaThis shows the total number of people who work in the area, including those who commute in from outside the area.Click here to sortNumber of people living and working within the same areaThis shows the total number of residents who work in the same area as they live. At a Wales level it shows the number of people who both live and work in Wales.Click here to sortNumber of people commuting out of the areaThis shows the total number of working residents who commute out of the area to work elsewhere. At a Wales level it shows the number of people who commute out of Wales to work.Click here to sortNumber of people commuting into the areaThis shows the total number of people who commute into the area to work. At a Wales level it shows the number of people who commute into Wales to work.
[Collapse]Wales2,907,9002,811,5002,747,400160,30064,100
Wales[Collapse]North Wales650,500597,800568,20082,200(!) The data item is based on between approximately 25 and 39 responses to the survey, and is categorised as being of limited quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 10 and 24 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.29,600
North Wales[Expand]Isle of Anglesey64,10055,50048,70015,300(!!) The data item is based on between approximately 10 and 24 responses to the survey, and is categorised as being of low quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 25 and 39 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.6,800
[Expand]Gwynedd116,500118,900102,600(!) The data item is based on between approximately 25 and 39 responses to the survey, and is categorised as being of limited quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 10 and 24 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.13,90016,200
[Expand]Conwy102,00089,30075,40026,50013,800
[Expand]Denbighshire82,40081,20060,00022,50021,200
[Expand]Flintshire148,700110,70091,20057,600(!) The data item is based on between approximately 25 and 39 responses to the survey, and is categorised as being of limited quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 10 and 24 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.19,500
[Expand]Wrexham136,800142,400103,90032,80038,600
[Collapse]Mid and South West Wales829,300828,600780,40049,00048,200
Mid and South West Wales[Collapse]Mid Wales190,900196,600165,90025,00030,600
Mid WalesCeredigion72,70075,50064,400(!) The data item is based on between approximately 25 and 39 responses to the survey, and is categorised as being of limited quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 10 and 24 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.8,300(!,!!) The data item is based on between approximately 10 and 24 responses to the survey, and is categorised as being of low quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 25 and 39 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.,The data item is based on between approximately 25 and 39 responses to the survey, and is categorised as being of limited quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 10 and 24 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.11,000
Powys118,100121,000100,100(!) The data item is based on between approximately 25 and 39 responses to the survey, and is categorised as being of limited quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 10 and 24 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.17,90020,900
[Collapse]South West Wales638,500632,000595,80042,70036,200
South West WalesPembrokeshire107,300110,90098,400(!!) The data item is based on between approximately 10 and 24 responses to the survey, and is categorised as being of low quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 25 and 39 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.8,900(!) The data item is based on between approximately 25 and 39 responses to the survey, and is categorised as being of limited quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 10 and 24 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.12,400
Carmarthenshire164,200161,200130,60033,70030,700
Swansea239,900260,000209,80030,10050,200
Neath Port Talbot127,000100,00078,60048,400(!) The data item is based on between approximately 25 and 39 responses to the survey, and is categorised as being of limited quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 10 and 24 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.21,400
[Collapse]South East Wales1,428,1001,385,1001,337,20090,90047,900
South East Wales[Expand]Bridgend124,500113,80090,40034,10023,400
[Expand]Vale of Glamorgan122,200100,90085,50036,600(!) The data item is based on between approximately 25 and 39 responses to the survey, and is categorised as being of limited quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 10 and 24 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.15,400
[Expand]Cardiff377,000463,100336,300(!) The data item is based on between approximately 25 and 39 responses to the survey, and is categorised as being of limited quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 10 and 24 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.40,800126,800
[Expand]Rhondda Cynon Taf208,700167,200140,30068,30027,000
[Expand]Caerphilly168,200137,200101,70066,50035,500
[Expand]Blaenau Gwent63,00043,90033,60029,400(!,!!) The data item is based on between approximately 10 and 24 responses to the survey, and is categorised as being of low quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 25 and 39 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.,The data item is based on between approximately 25 and 39 responses to the survey, and is categorised as being of limited quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 10 and 24 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.10,300
[Expand]Torfaen85,00081,10057,20027,90023,900
[Expand]Monmouthshire87,00084,50056,00031,00028,500
[Expand]Newport138,800144,20097,20041,80047,000
[Expand]Merthyr Tydfil53,60049,10035,40018,200(!,!!) The data item is based on between approximately 10 and 24 responses to the survey, and is categorised as being of low quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 25 and 39 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.,The data item is based on between approximately 25 and 39 responses to the survey, and is categorised as being of limited quality.  Only estimates based on 40 responses or more are categorised as robust, whilst data items based on between 10 and 24 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.13,700

Metadata

Title

Commuting patterns by Welsh local authority

Last update

11 April 2024 11 April 2024

Next update

April 2025

Publishing organisation

Welsh Government

Source 1

Annual Population Survey, 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 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. This affects the figures for many local authorities, especially those on the border with England. Therefore, the 2001-2003 figures for ‘Total number of people working in the area’ and ‘Number of people commuting into the area’ have been suppressed.

Frequency of publication

Annual

Data reference periods

2001 to 2023

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.

October 2019: The measure previously labelled “Number of people working in home authority” was calculated so that the Wales figure was a sum of those who lived and worked in the same local authority. This has now been changed to “Number of people living and working within the same area” so that at a Wales level it shows the number of people who both live and work in Wales (including those who travel between different local authorities within Wales).

Statistical quality

Annual Population Survey (APS) responses are weighted to official population projections. The projections for 2020 were 2018-based, and, therefore, were based on demographic trends that pre-dated the COVID-19 pandemic.
To allow for different trends during the pandemic the responses for the APS have been reweighted on the 9 September 2021 to new populations derived using growth rates from HM Revenue and Customs (HMRC) Real Time Information (RTI). The reweighting has been applied from year ending March 2020 data onwards and gives improved estimates of both rates and levels.
The changes ONS have made to the weighting should reduce the bias of estimates at high levels of aggregation. Some smaller breakdowns may be impacted negatively and more extreme changes could be seen given the reduced size of the underlying sample since the start of the pandemic.
As the data 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 individual local authority data are subject to higher variability than Wales data.

Keywords

Commuting

Name

Econ0065