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, April - June, 2019

Variable Details

VariableUNCOMB01
LabelUndergraduate subject area - 1
Responses
1 Medicine 44
2 Medical related Subjects 60
3 Biological Sciences 106
4 Agricultural Sciences 12
5 Physical/Environmental Sciences 94
6 Mathematical l Sciences 102
7 Engineering 61
8 Technology 53
9 Architecture and related studies 15
10 Social Sciences 305
11 Business and Financial Studies 277
12 Librarianship and Information Studies 11
13 Linguistics, English, Celtic and Ancient Languages 122
14 European Languages 151
15 Other Languages 34
16 Humanities 217
17 Arts 141
18 Education 118
19 Computing 39
20 Law 66
-9 Does not apply 84503
-8 No answer 17
DisclaimerPlease note that these frequencies are not weighted.
LocationQuarterly Labour Force Survey, April - June, 2019
Interviewer InstructionsCode subject area(s) studied in qualification
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.