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

VariableSNGDEGB
LabelSingle subject of degree (banded)
Responses
1 Medicine and dentistry 212
2 Medical related subjects 1085
3 Biological Sciences 653
4 Agricultural Sciences 143
5 Physical/ Environmental Sciences 472
6 Mathematical Sciences and Computing 571
7 Engineering 580
8 Technology 61
9 Architecture and related studies 239
10 Social Studies 772
11 Law 328
12 Business and Financial studies 1060
13 Mass Communications and Documentation 172
14 Linguistics, English, Celtic and Ancient 263
15 European Languages 80
16 Eastern, Asiatic, African, American, and Australasian Langua 13
17 Humanities 331
18 Arts 556
19 Education 778
-9 Does not apply 35923
-8 No answer 46
DisclaimerPlease note that these frequencies are not weighted.
LocationQuarterly Labour Force Survey, October - December, 2023
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.