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, October - December, 2009

Variable Details

VariableUNDNST
LabelWhy not start extra hours job in 2 weeks
Question text Is the main reason you could not start in 2 weeks because you must complete education or training, cannot leave your current job within 2 weeks (NOT OFFERED IF UNDEMP = 1 AND STAT = 1), are looking after your family/home, have health problems?
Responses
1 Must complete educ or training 50
2 Cannot leave curr. job within two weeks 180
3 Looking after family/home 177
4 Health problems 40
5 Other reason 140
-10 No answer/Does not apply 113607
DisclaimerPlease note that these frequencies are not weighted.
LocationQuarterly Labour Force Survey Household Dataset, October - December, 2009
Interviewer InstructionsCODE MAIN REASON ONLY.
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 April-June and October-December quarters of the main LFS each year.
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.