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Data Provider: Welsh Government National Statistics Persons in Wales in employment by country of birth and year
None
AgePersons of working age and persons of all ages[Filtered]
MeasureAll persons and persons in employment[Filtered]
[Collapse]Residence areaArea of residence (within Wales), based on the Welsh NUTS (Nomenclature of Units for Territorial Statistics, the EU hierarchical geographic breakdown) 2 areas, which splits Wales into 2 areas, namely West Wales and the Valleys (the area of Wales with EU Objective 1 status) and East Wales.[Filtered]
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Residence area 1[Filter]
Measure2
Year[Filtered]
[Collapse]Birth countryCountry of birth (outside the UK) [Filter]
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[Collapse]Birth country 1
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[Collapse]Birth country 2
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Birth country 3
Click here to sortYear ending 30 Jun 2016Click here to sortYear ending 30 Jun 2017Click here to sortYear ending 30 Jun 2018Click here to sortYear ending 30 Jun 2019Click here to sortYear ending 30 Jun 2020
[Collapse]All1,420,4001,421,4001,445,2001,458,9001,464,400
All[Collapse]UK1,320,4001,316,8001,335,4001,350,2001,338,400
UK[Collapse]WalesWales957,000961,600968,100982,100962,000
[Collapse]Rest of the UKRest of the UK363,400355,200367,300368,200376,300
[Collapse]Non UK100,000104,600109,800108,700126,000
Non UK[Collapse]European UnionThe current Member States are counted in this group for all time periods, regardless of the date they joined the EU.49,70054,00057,20049,40053,400
European UnionThe current Member States are counted in this group for all time periods, regardless of the date they joined the EU.Ireland4,600(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.4,5004,800(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,900(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.3,800
Germany8,2008,1008,4007,3006,700
Poland15,80016,80019,40017,00019,900
Other European Union21,00024,50024,60022,20023,000
[Collapse]Europe excluding the European UnionEurope excluding the European Union(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.3,200(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.3,700(!!) The data item is based on between approximately 10 and 25 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 40 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,300(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.3,100(!!) The data item is based on between approximately 10 and 25 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 40 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,900
[Collapse]North AmericaNorth America(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,600(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.3,300(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,3005,100(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.5,000
[Collapse]Latin America and CaribbeanLatin America and Caribbean(!!) The data item is based on between approximately 10 and 25 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 40 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,300(!!) The data item is based on between approximately 10 and 25 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 40 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,200(!!) The data item is based on between approximately 10 and 25 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 40 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,500(!!) The data item is based on between approximately 10 and 25 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 40 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,400(!!) The data item is based on between approximately 10 and 25 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 40 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,300
[Collapse]Asia and Oceania29,20028,40028,40031,30040,200
Asia and OceaniaIndia9,0007,3006,300(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.4,5007,900
Other Asia and Oceania20,30021,20022,10026,80032,300
[Collapse]Sub-Saharan Africa10,2007,50010,60011,20015,700
Sub-Saharan AfricaSouth Africa(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.3,500(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.3,300(!!) The data item is based on between approximately 10 and 25 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 40 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,500(!!) The data item is based on between approximately 10 and 25 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 40 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,200(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,900
Other Sub-Saharan Africa6,7004,2008,1009,00012,800
[Collapse]Middle East, North Africa and Rest of the WorldMiddle East, North Africa and Rest of the World(!!) The data item is based on between approximately 10 and 25 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 40 responses are categorised as being of limited quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.2,800(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.5,4006,500(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.6,200(!) The data item is based on between approximately 25 and 40 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 25 responses are categorised as being of low quality.  Data items based on less than 10 responses are considered unacceptable for use and suppressed.6,500

Metadata

Title

Residents of Wales born outside the United Kindgdom

Last update

24 September 2020 24 September 2020

Next update

December 2020

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 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

This dataset provides information on migrant workers in Wales from all over the World with a breakdown between data relating to countries in the European Union (EU), and elsewhere.

Data collection and calculation

These are: Home Office data on the Worker Registration Scheme (WRS), mentioned above. Department for Work and Pensions (DWP) data on National Insurance Numbers (NINo). Labour Force Survey / Annual Population Survey data on country of birth.
This dataset concentrates on information from the third of these sources.
The Labour Force Survey (LFS) is a UK household survey which asks a wide range of questions relating to economic activity and personal circumstances/characteristics. The annual version of the LFS is called the Annual Population Survey (APS) and is boosted in Wales to cover around 20,000 households. It is published on a rolling four-quarter basis. Both the LFS and APS ask respondents for their country of birth, nationality and where they were living twelve months ago. For Wales, it is not possible to use the data on movement in the last twelve months because, even with the boosted sample in the APS, the numbers involved are too low to give reliable estimates. Responses to the nationality question can be difficult to interpret, so this dataset focuses on country of birth.
The country of birth data gives the total number of people who were born in each country and so does not directly give estimates of the number of migrants. However, changes in the level give an idea of the level of migration. With these data it is also important to realise that the numbers will also include British people who were born abroad if, for example, their parents were working overseas at the time.
There are two main reasons why the APS may under-estimate the number of residents born overseas, particularly over the short to medium term. These are as follows:
. The LFS/APS sampling frame only covers private households and NHS accommodation. Students in halls of residence are also covered but only if they have a parent living in a UK household. So students in halls of residence without a UK resident parent are not covered. Additionally people living in other types of communal establishment such as hotels, hostels, boarding houses, caravans/mobile homes are not covered. Many foreign workers may live in these types of accommodation. The APS has a four-year wave pattern. Each respondent is included in the survey for four consecutive years. As a result there will be a delay before new groups arriving in the population are properly represented in the sample. The LFS/APS is also weighted to be representative of the population totals in each area. However, these population estimates exclude those visiting the UK for less than twelve months.
The wave pattern of the APS means there is a four-year time lag before new arrivals are properly represented in the sample, so it is not the best source for showing short-term trends. However the APS does provide a wealth of other information, such as economic activity, type of employment, age, gender, ethnicity and qualifications. This is particularly the case at the UK level. For Wales, even with the boosted APS sample, there are still relatively few households where people were born overseas. This means that, at present, detailed breakdowns at a Wales level will often not meet quality constraints.
Nomis is the ONS's official portal for labour market statistics. Note that some estimates from Nomis for the APS may differ slightly from those presented here due to differences in how local authority geographies are constructed.

Frequency of publication

Quarterly

Data reference periods

2004 to 2020

Rounding applied

Figures are rounded to the nearest hundred and so there may be some apparent slight discrepancies between the sum of constituent items and the totals as shown.

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

There are currently three main sources of information on overseas migrants working in Wales, each of which has advantages and disadvantages. These are:

. Home Office data on the Worker Registration Scheme (WRS), mentioned above.
. Department for Work and Pensions (DWP) data on National Insurance Numbers (NINo).
. Labour Force Survey / Annual Population Survey data on country of birth.

This dataset concentrates on information from the third of these sources. Data from the WRS and data on NINos can be found in the accession monitoring reports published on the Home Office website (available at http://www.ind.homeoffice.gov.uk/aboutus/reports/accession_monitoring_report).

The Labour Force Survey (LFS) is a UK household survey which asks a wide range of questions relating to economic activity and personal circumstances/characteristics. The annual version of the LFS is called the Annual Population Survey (APS) and is boosted in Wales to cover around 20,000 households. It is published on a rolling four-quarter basis. Both the LFS and APS ask respondents for their country of birth, nationality and where they were living twelve months ago. For Wales, it is not possible to use the data on movement in the last twelve months because, even with the boosted sample in the APS, the numbers involved are too low to give reliable estimates. Responses to the nationality question can be difficult to interpret, so this dataset focuses on country of birth.

The country of birth data gives the total number of people who were born in each country and so does not directly give estimates of the number of migrants. However, changes in the level give an idea of the level of migration. With these data it is also important to realise that the numbers will also include British people who were born abroad if, for example, their parents were working overseas at the time.

There are two main reasons why the APS may under-estimate the number of residents born overseas, particularly over the short to medium term. These are as follows:
. The LFS/APS sampling frame only covers private households and NHS accommodation. Students in halls of residence are also covered but only if they have a parent living in a UK household. So students in halls of residence without a UK resident parent are not covered. Additionally people living in other types of communal establishment such as hotels, hostels, boarding houses, caravans/mobile homes are not covered. Many foreign workers may live in these types of accommodation.
The wave pattern of the APS means there is a four-year time lag before new arrivals are properly represented in the sample, so it is not the best source for showing short-term trends. However the APS does provide a wealth of other information, such as economic activity, type of employment, age, gender, ethnicity and qualifications. This is particularly the case at the UK level. For Wales, even with the boosted APS sample, there are still relatively few households where people were born overseas. This means that, at present, detailed breakdowns at a Wales level will often not meet quality constraints.

Keywords

Migrants; Accession; Foreign workers