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, 2010: Face-to-Face Survey

Variable Details

Variableaq35_2
LabelTax Less-Spend More-Labour
Question text IF FIRST ITEM AT PreQ37: Now, another issue. Using the 0 to 10 scale on this card, where the end marked 0 means that government should cut taxes and spend much less on health and social services, and the end marked 10 means that government should raise taxes a lot and spend much more on health and social services, where would you place [YOURSELF/PARTY NAME] on this scale? IF NOT FIRST ITEM AT PreQ37: And where would you place [YOURSELF/PARTY NAME] on this scale? (Please take your answers from this card - CARD S)
Responses
0 0-Cut taxes 21
1 1 22
2 2 45
3 3 107
4 4 138
5 5 436
6 6 300
7 7 290
8 8 215
9 9 59
10 10-Increase services 84
12 DK 218
Sysmiss 1577
DisclaimerPlease note that these frequencies are not weighted.
LocationBritish Election Study, 2010: Face-to-Face Survey
Interviewer InstructionsRANDOMISE
UniverseLocation of units of observation: National;Population: Electors resident in Great Britain during 2005.
SamplingMulti-stage stratified random sample;See documentation for details.
Study TypeCross-sectional (one-time) study; The dataset contains both pre- and post-election survey waves.
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.