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 Social Attitudes Survey, 2000

Variable Details

VariableDAMLIVES
LabelCutting benefits damage too many lives? A2.24i B2.30i C2.50i
Question text Please tick one box for each statement to show how much you agree or disagree with it. Cutting welfare benefits would damage too many people's lives.
Responses
1 Agree strongly 300
2 Agree 1469
3 Neither agree/disagree 718
4 Disagree 413
5 Disagree strongly 43
8 Dont know 0
9 Not answered 37
-1 No self-completion 446
DisclaimerPlease note that these frequencies are not weighted.
LocationBritish Social Attitudes Survey, 2000
Interviewer InstructionsPlease tick one box on each line.
UniverseAdults (18 and over) living in private households in Great Britain (excluding the 'crofting counties' north of the Caledonian Canal).<br>;Adults;National
SamplingMulti-stage stratified random sample;Sampling is conducted in four stages; from 1993 the sample has been drawn from the Postcode Address File, whereas in previous years it was drawn from the Electoral Register.
Study TypeRepeated cross-sectional study. The BSA survey is conducted annually.
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.