Survey Variable: Employment Status

Figure 1. See also Table A1.

The work status variable indicates the employment statuses of respondents and, as Figure 1 shows, those in full time employment constitute more than half (50.7%) of the weighted sample. Retired people are the second largest group and approach a quarter (23.6%) of respondents. This variable has fewer categories than education level so requires less simplification. Nevertheless, the two part time work categories can be combined (not least because of the small number of respondents in the ‘Part time (under 8 hours a week)’ group) whilst the respondents in the ‘Other’ category need to be coded as missing, leaving 1,388 cases. The recoded variable is graphed in Figure 2, beneath which are details of both the original and recoded variables.

Figure 2. See also Table A2.
Variable nameback_workstat
Number of cases1,405
Number of categories8
Categories to code as missing‘Other’
Cases to code as missing17
Recoded variable nameback_workstat_rmv
Number of cases1,388
Number of categories6
New and old categories‘Full time ‘ = ‘Full time (30+ hours a week)’

‘Part time’ = ‘Part time (8-29 hours a week)’
+ ‘Part time (under 8 hours a week)’

‘Student’ = ‘Full time student’

‘Retired’ = ‘Retired’

‘Unemployed’ = ‘Unemployed’

‘Not working’ = ‘Not working’

Missing = ‘Other’
Details of the original and recoded employment status variables.

Published by joegreenwoodhau

Joe Greenwood-Hau is a Lecturer in Politics in the School of Social and Political Science at the University of Edinburgh, where his teaching focuses on Introduction to Political Data Analaysis and he is wrapping up the Capital, Privilege and Political Participation in Britain and Beyond project.

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