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:

British Election Study Ethnic Minority Survey, 2010

Variable Details

Variablezq98_2
LabelPartner-Type of Work
Question text From the same card, please tell me which best describes the sort of work your (husband/wife/partner) does (or did in (his/her) last job).
Responses
-2 Refused 108
-1 Don't Know 44
1 Professional or higher technical work 245
2 Manager or senior administrator 116
3 Clerical 98
4 Sales or services 88
5 Small business owner 57
6 Foreman or supervisor of other workers 14
7 Skilled manual work 207
8 Semi-skilled or unskilled manual work 219
9 Never worked 247
10 Other 24
14 Not Stated 0
Sysmiss 1320
DisclaimerPlease note that these frequencies are not weighted.
LocationBritish Election Study Ethnic Minority Survey, 2010
Interviewer InstructionsCARD 40.
UniverseAdults aged 18 and over resident in Great Britain who would self-classify into one of five Census ethnic groups: Black Caribbean; Black African; Indian; Pakistani; Bangladeshi;National
SamplingMulti-stage stratified random sample
Study TypeCross-sectional (one-time) 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.