Variable

UK Data Service variable record for:

Quarterly Labour Force Survey, July - September, 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 57
2 Cannot leave curr. job within two weeks 157
3 Looking after family/home 212
4 Health problems 49
5 Other reason 151
-9 Does not apply 115926
-8 No answer 0
DisclaimerPlease note that these frequencies are not weighted.
LocationQuarterly Labour Force Survey, July - September, 2009
Interviewer InstructionsCODE MAIN REASON ONLY.
UniverseAll persons normally resident in private households in Great Britain and Northern Ireland. From winter 1994-1995, Northern Ireland is included in each quarter. Prior to this, data were only collected there in the March-May quarter each year. When the LFS moved to a quarterly cycle, two new groups of people were included in the survey to improve the coverage of young people: residents in National Health Service (NHS) hospital accommodation (formerly called nurses' homes), and students living in halls of residence or boarding schools.<br>Northern Ireland is not included in the Local Area Data files before 1997.;Households;National
SamplingSimple random sample;Four sampling frames are used. For Great Britain, south of the Caledonian Canal, the Post Office Address File is used, whilst north of the Caledonian Canal, a random sample is drawn from the published telephone directory. The sample of residents in NHS accommodation is also drawn, unclustered, for the whole of Great Britain using a specially-prepared frame. In Northern Ireland, the source of the sample is the Valuation List used for rating purposes, excluding commercial units and known institutions. Households are interviewed on five occasions at quarterly intervals, thereby introducing a panel element to the survey. For further details see documentation.
Study TypeRepeated cross-sectional study. Data are collected quarterly.