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, January - March, 2020

Variable Details

VariableUNCOMBMA
LabelUndergraduate main subject area
Responses
1 Medicine 35
2 Medical related Subjects 71
3 Biological Sciences 85
4 Agricultural Sciences 12
5 Physical/Environmental Sciences 83
6 Mathematical l Sciences 95
7 Engineering 68
8 Technology 36
9 Architecture and related studies 9
10 Social Sciences 271
11 Business and Financial Studies 290
12 Librarianship and Information Studies 7
13 Linguistics, English, Celtic and Ancient Languages 108
14 European Languages 107
15 Other Languages 30
16 Humanities 236
17 Arts 144
18 Education 131
19 Computing 54
20 Law 49
-9 Does not apply 75957
-8 No answer 25
DisclaimerPlease note that these frequencies are not weighted.
LocationQuarterly Labour Force Survey, January - March, 2020
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.

© 2024 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.