Variable

UK Data Service variable record for:

Living Costs and Food Survey, 2010

Variable Details

VariablePyDat
LabelPay: On what date were you last paid a wage or salary?
Question text On what date were you last paid a wage or salary? (On what date do you expect to be paid a wage or salary?)
Responses
01012009 1
01012010 7
01012011 2
01022006 1
01022010 8
01032010 18
01042010 12
01052010 8
01062009 1
01062010 6
01072009 1
01072010 8
01082010 11
01092009 2
01092010 9
01102010 27
01112010 20
01122009 2
01122010 6
02012010 1
02022010 1
02032010 2
02042010 6
02052010 2
02072010 11
02082010 4
02092010 1
02102010 5
02112010 4
02122010 7
03022010 1
03032009 1
03032010 1
03042010 2
03062010 4
03072010 2
03082010 1
03092010 15
03102010 2
03112010 1
03122009 1
03122010 5
04022010 9
04032010 7
04052010 1
04062010 10
04092010 3
04112010 5
04122010 2
05012010 8
05022010 13
05032010 8
05042010 2
05052010 3
05062010 1
05072010 2
05082010 12
05092010 10
05112010 8
06012010 4
06022010 2
06032010 4
06042010 4
06052010 10
06072010 2
06082010 16
06092010 4
06102010 2
06112010 2
06122010 2
07012010 4
07012011 4
07022010 4
07032010 6
07042010 4
07052010 11
07062010 2
07072010 4
07082010 1
07092009 1
07092010 1
07102010 7
07112008 1
07112010 3
07122010 2
08012010 4
08022010 2
08032010 3
08042010 6
08052010 1
08072010 4
08082010 3
08092010 2
08102009 1
08102010 17
08112010 2
08122010 1
09012010 2
09032010 1
09042010 15
09052010 1
09062010 1
09072010 9
09092010 6
09102010 2
09112010 1
09122010 10
10012010 2
10022010 5
10042010 2
10052010 2
10062010 7
10072010 2
10082010 4
10092010 21
10102009 1
10102010 2
10112010 6
10122010 15
11012010 2
11022010 9
11032010 5
11042010 1
11052010 2
11062010 16
11072010 1
11082010 1
11092010 2
11102010 2
11112010 4
12012010 5
12022010 10
12032010 12
12052010 1
12072010 2
12082010 4
12092010 2
12102010 1
12112010 17
12122010 1
13012011 1
13022010 3
13032010 1
13042010 6
13052010 8
13072010 2
13082010 19
13092010 1
13102010 4
13112010 1
13122010 1
14012010 3
14012011 1
14022010 1
14032010 1
14042010 2
14052010 16
14062010 4
14072010 4
14082010 4
14092010 2
14102010 4
14112010 2
14122010 1
15012009 3
15012010 51
15022009 1
15022010 32
15032009 3
15032010 26
15042009 1
15042010 37
15052009 3
15052010 27
15062008 3
15062009 6
15062010 21
15072008 1
15072009 3
15072010 35
15082008 2
15082009 5
15082010 23
15092008 3
15092009 5
15092010 28
15102008 2
15102009 6
15102010 49
15112009 4
15112010 31
15122008 5
15122009 18
15122010 7
16012010 4
16022010 1
16032010 3
16042010 26
16052010 3
16062008 1
16062010 2
16072010 19
16082010 5
16092010 4
16102010 4
16112010 2
16122009 3
16122010 2
17012010 4
17042010 1
17052010 1
17062010 1
17072010 4
17082010 2
17092010 10
17102010 3
17112010 1
17122009 2
17122010 7
18012010 6
18022010 6
18032010 7
18042010 11
18052010 6
18062010 15
18072010 6
18082010 5
18092010 1
18102010 6
18112010 6
18122009 19
18122010 3
19012010 2
19022010 17
19032010 14
19042010 8
19052010 2
19062010 2
19072010 5
19082010 6
19102010 7
19112010 12
19122009 3
19122010 1
20012010 15
20022010 9
20032010 10
20042010 11
20052010 13
20062010 13
20072010 13
20082010 31
20092010 11
20102010 21
20112009 1
20112010 12
20122009 10
20122010 10
21012010 11
21022010 3
21032010 2
21042009 1
21042010 5
21052009 1
21052010 14
21062010 8
21072010 6
21082010 4
21092010 1
21102008 1
21102010 17
21112010 2
21122009 8
21122010 1
22012009 1
22012010 20
22022010 4
22032010 5
22042009 1
22042010 9
22052010 4
22062010 3
22072010 11
22082008 1
22082010 2
22092010 5
22102010 10
22112010 4
22122009 12
22122010 8
23012010 11
23022010 16
23032010 12
23042010 23
23052010 7
23062010 6
23072010 25
23082010 10
23092010 10
23102010 10
23112010 6
23122009 21
23122010 7
24012010 6
24022010 7
24032010 4
24042010 7
24052010 9
24062009 1
24062010 16
24072010 9
24082010 6
24092010 27
24102010 15
24112009 2
24112010 14
24122009 21
24122010 3
25012010 35
25022010 42
25032010 27
25042010 16
25052009 1
25052010 21
25062010 39
25072010 35
25082010 35
25092010 27
25102009 1
25102010 33
25112010 27
25122009 11
26012010 20
26022010 61
26032010 37
26042010 16
26052010 17
26062010 15
26072010 14
26082010 20
26092009 1
26092010 13
26102009 1
26102010 12
26112010 34
26122009 3
27012010 17
27022010 18
27032010 10
27042010 14
27052010 18
27062010 7
27072010 19
27082010 50
27092009 1
27092010 22
27102010 17
27112009 2
27112010 5
27122009 7
28012010 50
28012011 1
28022009 2
28022010 120
28032010 27
28042010 50
28052010 84
28062009 1
28062010 42
28072010 32
28082010 27
28092008 1
28092010 39
28102010 57
28112008 1
28112010 22
28122009 23
28122010 8
29012009 1
29012010 55
29032010 2
29042010 19
29052010 8
29062010 10
29072010 15
29082009 1
29082010 6
29092010 12
29102009 1
29102010 46
29112010 3
29122009 6
29122010 1
30012009 1
30012010 17
30012020 1
30032010 27
30042009 2
30042010 123
30052010 40
30062007 1
30062008 1
30062009 6
30062010 96
30072008 1
30072009 2
30072010 80
30082008 1
30082009 1
30082010 39
30092009 1
30092010 104
30102008 2
30102009 5
30102010 50
30112008 3
30112009 4
30112010 58
30122008 1
30122009 15
30122010 3
31012009 2
31012010 69
31032009 1
31032010 103
31052010 79
31072009 2
31072010 57
31082009 4
31082010 59
31102008 1
31102009 2
31102010 64
31122008 1
31122009 45
31122010 7
99999999 3
DisclaimerPlease note that these frequencies are not weighted.
LocationLiving Costs and Food Survey, 2010
Interviewer InstructionsIf exact day of month not known, enter the 15TH of the month. If respondent has recently started a job and not yet been paid, enter the date on which they expect to be paid
UniverseNational;Households in the United Kingdom surveyed during 2010.
SamplingMulti-stage stratified random sample;Due to funding constraints, from January 2010 the Northern Ireland (NI) sample used for the LCF will be reduced to a sample proportionate to the NI population relative to the UK.
Study TypeRepeated cross-sectional study; From January 2006, the EFS (now LCF) moved from a financial to calendar year basis in anticipation of the IHS.