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:

Continuous Household Survey, 2005-2006

Variable Details

Variablepyccrd
LabelManage payments made on Credit card 1
Responses
0 Question not asked 0
1 Pay the minimum payment only 112
2 Pay more than the minimum but less than 338
3 Pay monthly total in full 605
4 Cannot afford any repayments 6
5 Do not owe money on this card 232
-3 Refused 3
-1 Dont Know 6
Sysmiss 3724
DisclaimerPlease note that these frequencies are not weighted.
LocationContinuous Household Survey, 2005-2006
UniversePrivate households in Northern Ireland.;Households;National
SamplingMulti-stage stratified random sample;The sample is drawn as a simple random sample from three strata. The first of these strata is the Belfast District Council area. The other two are formed by dividing the remainder of the province into East and West along district council boundaries. Within each of these strata a simple random sample of addresses is drawn, with size proportional to the distribution of domestic addresses on the rating list.
Study TypeRepeated cross-sectional study. Data are collected annually
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.