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Data Provider: Welsh Government National Statistics Ethnic background of pupils aged 5 or over by local authority
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Area Code[Filter]
Year[Filtered]
Measure1
Ethnic Background[Filter]
Local authority[Filter]
Click here to sortWhite BritishClick here to sortTravellerClick here to sortGypsy/Gypsy Roma (to 2017)Click here to sortGypsy (from 2018)Click here to sortRoma (from 2018)Click here to sortAny other White backgroundClick here to sortWhite and Black CaribbeanClick here to sortWhite and Black AfricanClick here to sortWhite and AsianClick here to sortAny other Mixed backgroundClick here to sortIndianClick here to sortPakistaniClick here to sortBangladeshiClick here to sortAny other Asian backgroundClick here to sortCaribbeanClick here to sortAfricanClick here to sortAny other Black backgroundClick here to sortChinese or Chinese BritishClick here to sortAny other ethnic backgroundClick here to sortUnknown or not stated
Isle of Anglesey23,755*.15.37510560135150**4020***1550295
Gwynedd40,83025.20.75555115215375130658040*60*50360965
Conwy38,17020.30*855165140310325100659070*5520135240120
Denbighshire37,90535.**71520090260420100555085.25*40340135
Flintshire55,390215.55.2,77513520521555595706040*20*65150255
Wrexham43,13080.*.3,535602251906551356513080.758025440315
Powys43,24055.40.1,21513012024533545302020515**45120230
Ceredigion22,57015.**880659065315140303555*70*35170520
Pembrokeshire40,90085.325*650180120290235703080125*50*65135395
Carmarthenshire65,110165.120302,0952402004305852156045170355540100525300
Swansea76,33575.**3,2252805507051,4658454301,800360506801352552,500355
Neath Port Talbot49,72560.90.7053001353355701806533065*603070265105
Bridgend54,92020.55*1,170205225325645160407590*80*100435215
Vale of Glamorgan50,730*.*.1,0356703956101,4305155702158030430956063080
Rhondda Cynon Taf94,04525.*.1,2052352754451,005250160402452013530145470215
Merthyr Tydfil19,88030.15.1,2654070701806520*15****16550
Caerphilly67,895*.*.935235140230650135551545*25*80160345
Blaenau Gwent21,645*.105.47035306515580**25.20*2070105
Torfaen36,355*.265.4651751301703354015309030253020215185
Monmouthshire28,60520.**6051306017035060302535*25*35135295
Newport49,39040.1151603,9451,0654355151,7657402,9251,915420909702001201,710330
Cardiff91,940340*3051007,7352,8951,6601,9954,2752,7154,5504,6708502806,1057058306,955745

Metadata

Title
Ethnic background of pupils aged 5 or over by local authority

Last update
11/06/2020 11/06/2020

Next update
July 2021

Publishing organisation
Welsh Government

Source 1
Pupil Level Annual School Census (PLASC), Welsh Government

Contact email
school.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
See other items.

Data collection and calculation
Schools’ data are derived from the Pupil Level Annual School Census (PLASC) returns and STATS 1 returns supplied by schools open on Census day in January each year. The returns are authorised by headteachers and validated by Local Authorities.

Frequency of publication
Annual

Data reference periods
From 2007/08 or more recently if the data item is not available for earlier years.

Rounding applied
* = Numbers greater than zero but less than five. Numbers have been rounded to the nearest 5.

Statistical quality
School Census returns are authorised by headteachers and validated by Local Authorities.

Whilst most of the usual data validation processes on the 2020 school census data have taken place, due to the coronavirus pandemic, the data did not undergo the usual final validation process. As part of the Welsh Local Government Finance Settlement, the data is usually returned to local authorities for final validation. Typically, overall numbers of pupils and teachers will not change significantly during this period, with the most likely change being in the characteristics of the pupils themselves e.g. free school meal entitlement. Users should therefore be more cautious when comparing data on characteristics of pupils and staff over time, in particular where small cohorts are involved.