This site uses cookies

Some of these cookies are essential, while others help us to improve your experience by providing insights into how the site is being used.

For more detailed information please check our Cookie notice.

Necessary cookies

Necessary cookies enable core functionality. This website cannot function properly without these cookies.

Cookies that measure website use

If you provide permission, we will use Google Analytics to measure how you use the website so we can improve it based on our understanding of user needs. Google Analytics sets cookies that store anonymised information about how you got to the site, the pages you visit, how long you spend on each page and what you click on while you're visiting the site.

 

Variable

UK Data Service variable record for:

Quarterly Labour Force Survey, July - September, 2022

Variable Details

VariableUNCOMBMA
LabelUndergraduate main subject area
Responses
1 Medicine 38
2 Medical related Subjects 53
3 Biological Sciences 69
4 Agricultural Sciences 12
5 Physical/Environmental Sciences 76
6 Mathematical l Sciences 83
7 Engineering 51
8 Technology 29
9 Architecture and related studies 7
10 Social Sciences 206
11 Business and Financial Studies 229
12 Librarianship and Information Studies 1
13 Linguistics, English, Celtic and Ancient Languages 90
14 European Languages 114
15 Other Languages 39
16 Humanities 219
17 Arts 123
18 Education 83
19 Computing 42
20 Law 48
-9 Does not apply 67801
-8 No answer 24
DisclaimerPlease note that these frequencies are not weighted.
LocationQuarterly Labour Force Survey, July - September, 2022
Interviewer InstructionsProbe main subject studied in qualification. CODE ONE SUBJECT AREA ONLY
UniverseAll persons normally resident in private households in Great Britain and (from 1994) Northern Ireland.
Study TypeRepeated cross-sectional study
UKRI logo

Funded by UKRI through the ESRC with contributions from our partners.

© 2025 UK Data Service
We are supported by the University of Essex, University of Manchester, Jisc, UCL and University of Edinburgh. We are funded by UKRI through the Economic and Social Research Council.