Variable

UK Data Service variable record for:

Living Costs and Food Survey, 2009

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 5
01022009 2
01032009 5
01042009 3
01052009 17
01062009 6
01072009 10
01082009 7
01092009 15
01102009 13
01112009 10
01122008 1
01122009 10
02012009 20
02022009 3
02032009 5
02042009 8
02052009 3
02072009 6
02092009 6
02102009 17
02122009 4
03012009 2
03022009 1
03042009 14
03062009 2
03072009 12
03082009 1
03092009 7
03102008 1
03102009 2
03112009 2
03122009 7
04022009 3
04032009 2
04042008 1
04042009 1
04052009 1
04062009 5
04072009 2
04082009 1
04092009 18
04102009 2
04112009 2
04122009 14
05012009 5
05022009 6
05032009 8
05042009 3
05052009 2
05062009 18
05072009 2
05082009 4
05092009 8
05102009 1
05112009 16
05122009 3
06012009 2
06022009 25
06032009 24
06042009 2
06052009 1
06062009 5
06072009 7
06082009 5
06092009 2
06102009 2
06112009 8
06122009 1
07012009 5
07022009 3
07032009 2
07042009 2
07052009 5
07062009 4
07072009 6
07082009 18
07092009 2
07102009 5
07112009 5
08012009 4
08022009 1
08032009 1
08042009 2
08052009 20
08072009 4
08082009 3
08092009 1
08102009 7
08112008 1
08112009 3
08122009 4
09012009 19
09022009 3
09032009 2
09042009 2
09052009 3
09062009 2
09072009 5
09082009 2
09092009 4
09102009 23
09112009 4
10012009 4
10022009 5
10032009 1
10042009 12
10052009 4
10062009 5
10072009 17
10082009 3
10092009 5
10102009 5
10112009 4
10122008 1
10122009 10
11022009 2
11032009 5
11042009 2
11052009 2
11062009 7
11072009 2
11082009 1
11092009 18
11112009 3
11122009 15
12012009 5
12022009 8
12032009 7
12052009 3
12062009 17
12072009 3
12082009 4
12092009 7
12102009 1
12112009 8
12122008 1
13012009 7
13022009 20
13032009 12
13042009 1
13052009 2
13062009 2
13072009 1
13082009 3
13112009 15
14012009 4
14022009 2
14032009 7
14042009 4
14052009 6
14062009 2
14072009 2
14082009 16
14092009 2
14102009 1
14112009 3
14122008 1
14122009 1
15012008 1
15012009 28
15022009 27
15032008 1
15032009 26
15042008 1
15042009 24
15052008 3
15052009 54
15061997 1
15062008 2
15062009 23
15072008 2
15072009 29
15082008 3
15082009 31
15092008 1
15092009 35
15102008 1
15102009 48
15112007 2
15112008 5
15112009 33
15122007 3
15122008 11
15122009 9
16012009 13
16022009 2
16032009 4
16042009 4
16052009 6
16062009 3
16072009 4
16092009 4
16102009 18
16112009 1
16122008 3
16122009 2
17012009 2
17022009 5
17032009 1
17042009 21
17052009 1
17062009 1
17072009 18
17082009 2
17092009 3
17112008 1
17112009 2
17122008 1
17122009 6
18012008 1
18012009 7
18022009 8
18032009 9
18042009 6
18052009 3
18062009 7
18072009 6
18082009 5
18092009 23
18102009 4
18112009 8
18122008 13
18122009 7
19012009 3
19022009 7
19032009 10
19042009 1
19052009 10
19062009 25
19072009 3
19082009 6
19092009 2
19102009 2
19112009 5
19122008 24
20012009 15
20012010 1
20022009 27
20032009 36
20042009 13
20052009 12
20062008 1
20062009 19
20072009 17
20082009 16
20092009 18
20102009 18
20112009 30
20122007 1
20122008 15
20122009 3
21012009 8
21022009 10
21032009 1
21042009 5
21052009 13
21062009 9
21072009 11
21082009 10
21092009 5
21102009 6
21112008 1
21112009 3
21122008 7
21122009 2
22012009 9
22022009 4
22032009 5
22042009 4
22052009 20
22062009 5
22072009 7
22082009 8
22092009 3
22102009 10
22112009 6
22122008 18
22122009 1
23012009 25
23022009 11
23032009 12
23042009 19
23052009 9
23062009 11
23072009 7
23082009 4
23092008 1
23092009 9
23102009 23
23112009 4
23122008 32
23122009 4
24012009 12
24022009 9
24032009 4
24042009 45
24052009 8
24062009 11
24072009 18
24082009 14
24092009 9
24102009 12
24112009 12
24122008 16
24122009 2
25012009 24
25012010 1
25022009 40
25032009 33
25042009 18
25052009 21
25062009 41
25072009 26
25082009 32
25092009 60
25102009 22
25112009 40
25122008 8
26012009 13
26022009 32
26032009 20
26042009 12
26052009 15
26062009 46
26072009 12
26082009 22
26092009 18
26102009 17
26112009 35
26122008 7
26122009 2
27012009 8
27022008 1
27022009 106
27032009 49
27042009 20
27052009 24
27062009 9
27072009 18
27082009 26
27092009 14
27102009 16
27112009 51
27122008 8
27122009 3
28012009 48
28022008 1
28022009 117
28032009 35
28042009 52
28052009 52
28062009 38
28072009 47
28082009 75
28092009 62
28102008 1
28102009 47
28112008 2
28112009 41
28122008 18
28122009 2
29012008 1
29012009 23
29032009 3
29042009 26
29052009 83
29062009 15
29072009 21
29082008 2
29082009 16
29092008 1
29092009 6
29102009 22
29112009 6
29122008 6
30012008 1
30012009 55
30032009 21
30042005 1
30042009 115
30052008 1
30052009 42
30062008 2
30062009 123
30072008 2
30072009 54
30082009 24
30092009 134
30093009 1
30102009 104
30112008 1
30112009 97
30122008 30
30122009 3
31012008 3
31012009 73
31013009 1
31032008 2
31032009 91
31052009 70
31072008 2
31072009 120
31082009 71
31102008 2
31102009 62
31122007 1
31122008 85
31122009 3
99999999 5
DisclaimerPlease note that these frequencies are not weighted.
LocationLiving Costs and Food Survey, 2009
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 2009.
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.