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:

Labour Force Survey Ad Hoc Module Eurostat Dataset, 2011

Variable Details

VariableHATFIELD
LabelField of highest level of education or training successfully completed
Responses
000 General programmes 121
100 Teacher training and education science 1828
200 Humanities, languages and arts 2362
222 Foreign languages 294
300 Social sciences, business and law 5701
400 Science, mathematics and computing (no distinction possible) 183
420 Life science (including Biology and Environmental science) 563
440 Physical science (inc Physics, Chemistry, Earth science) 647
460 Mathematics and statistics 263
481 Computer science 541
482 Computer use 203
500 Engineering, manufacturing and construction 3824
600 Agriculture and veterinary 361
700 Health and welfare 3523
800 Services 1811
900 Unknown 23949
999 Not applicable 9191
DisclaimerPlease note that these frequencies are not weighted.
LocationLabour Force Survey Ad Hoc Module Eurostat Dataset, 2011
UniverseLocation of units of observation: National;Population: Respondents to the UK QLFS; see main QLFS documentation for details.
SamplingSee main QLFS documentation for details.
Study TypeRepeated cross-sectional study
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.