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, October - December, 2023

Variable Details

VariableUNCOMBMA
LabelUndergraduate main subject area
Responses
1 Medicine 16
2 Medical related Subjects 36
3 Biological Sciences 55
4 Agricultural Sciences 3
5 Physical/Environmental Sciences 34
6 Mathematical l Sciences 48
7 Engineering 22
8 Technology 17
9 Architecture and related studies 6
10 Social Sciences 136
11 Business and Financial Studies 148
12 Librarianship and Information Studies 2
13 Linguistics, English, Celtic and Ancient Languages 37
14 European Languages 60
15 Other Languages 12
16 Humanities 111
17 Arts 81
18 Education 53
19 Computing 23
20 Law 29
-9 Does not apply 43405
-8 No answer 4
DisclaimerPlease note that these frequencies are not weighted.
LocationQuarterly Labour Force Survey, October - December, 2023
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.
SamplingFour sampling frames are used. See documentation for details.
Study TypeRepeated cross-sectional study Data are collected quarterly
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.