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Reaching out: The added value of HESA’s new measure of socioeconomic disadvantage - Appendix 2 (Wales)

Further work on our measure of disadvantage revealed an error in the generation of HESA measure deciles. Our output area files for England, Wales and Scotland contained statistics for higher level geographies (either local authorities, regions and/or countries), which had not been removed prior to the formation of the deciles.

HESA measure deciles have been recreated based on a total of 232,296 output areas (181,408 in England and Wales, 46,531 in Scotland and 4,537 in Northern Ireland). Around 1% of output areas changed from quintile 1 to a higher quintile or vice versa. Approximately 5% of output areas were affected when undertaking an analysis by decile. We have found the impact of this to be minimal and the conclusions of our research are not materially altered.

2022-05-23

Appendix 2: Students domiciled in Wales

Table B1: The distribution of students only found in quintile 1 of the HESA measure by local authority (%)*

Local authority

Proportion (%)

Rhondda Cynon Taf

14.9

Caerphilly

11.1

Carmarthenshire

9.4

Neath Port Talbot

7.7

Wrexham

5.4

Gwynedd

4.6

Bridgend

4.0

Pembrokeshire

4.0

Merthyr Tydfil

3.8

Torfaen

3.8

Cardiff

3.6

Flintshire

3.4

Isle of Anglesey

3.1

Newport

3.1

Powys

3.1

Swansea

2.9

Conwy

2.7

Denbighshire

2.7

Blaenau Gwent

2.3

Monmouthshire

2.3

Ceredigion

1.1

The Vale of Glamorgan

1.1

Total

480

 

Table B2: The urban/rural distribution of students only found in quintile 1 of the HESA measure*

Urban-rural classification

Proportion (%)

Urban city and town  

70.3

Rural town and fringe 

16.5

Rural town and fringe in a sparse setting

5.9

Rural village in a sparse setting

3.1

Rural village

2.7

Urban city and town in a sparse setting

1.1

Rural hamlets and isolated dwellings

0.2

Rural hamlets and isolated dwellings in a spare setting

0.2

Urban major conurbation

0.0

Urban minor conurbation

0.0

Total

480

 

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Tej Nathwani

Tej Nathwani

Principal Researcher (Economist)
Siobhan Donnelly

Siobhan Donnelly

Lead Statistical Analyst

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