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 Household Dataset, September - November, 2003

Variable Details

Variablecmbmain
LabelMain subject of combined degree
Responses
1 Medicine 35
2 Medical related subjects 81
3 Biological Sciences 52
4 Agricultural sciences 3
5 Physical/environmental sciences 79
6 Mathematical sciences and computing 91
7 Engineering 70
8 Technology 35
9 Architecture and related subjects 8
10 Social sciences 145
11 Business and financial studies 163
12 Librarianship and information studies 7
13 Linguistics, English, Celtic, ancient 78
14 European languages 57
15 Other languages 4
16 Humanities 102
17 Arts 82
18 Education 120
-9 Does not apply 130234
-8 No answer 24
DisclaimerPlease note that these frequencies are not weighted.
LocationQuarterly Labour Force Survey Household Dataset, September - November, 2003
Interviewer InstructionsPROBE MAIN SUBJECT AREA STUDIED IN QUALIFICATION
UniverseHouseholds in Great Britain and Northern Ireland;Households;National
SamplingSample drawn from main LFS data. See documentation for details.
Study TypeData are produced from the spring and autumn quarters of the main LFS each year.
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.