See PAJU, PASEMP, PABOSS, PASOC*, PARGSC, PASEG, PAGOLD, PAISCON, PA1JUKSOC*, PAJLCBSOC* (The same information about mothers are in variable names starting with M instead of P)
See PAJU, PASEMP, PABOSS, PASOC*, PARGSC, PASEG, PAGOLD, PAISCON, PA1JUKSOC*, PAJLCBSOC* (The same information about mothers are in variable names starting with M instead of P)
Derived variable note:
Uses BW_PAMNGR on data file BW_INDRESP/
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
13290
92.17%
proxy
-7
965
6.69%
don't know
-1
19
0.13%
Manager
1
41
0.28%
Foreman/supervis
2
21
0.15%
Not mnger/superv
3
83
0.58%
Total
14419
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
13703
92.13%
proxy
-7
948
6.37%
don't know
-1
9
0.06%
Manager
1
54
0.36%
Foreman/supervis
2
43
0.29%
Not mnger/superv
3
116
0.78%
Total
14873
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
2
0.01%
inapplicable
-8
14153
91.95%
proxy
-7
977
6.35%
don't know
-1
17
0.11%
Manager
1
75
0.49%
Foreman/supervis
2
37
0.24%
Not mnger/superv
3
131
0.85%
Total
15392
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
12
0.08%
inapplicable
-8
14324
91.72%
proxy
-7
982
6.29%
don't know
-1
16
0.1%
Manager
1
86
0.55%
Foreman/supervis
2
45
0.29%
Not mnger/superv
3
152
0.97%
Total
15617
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
8
0.05%
inapplicable
-8
14519
91.94%
proxy
-7
1014
6.42%
don't know
-1
21
0.13%
Manager
1
61
0.39%
Foreman/supervis
2
49
0.31%
Not mnger/superv
3
119
0.75%
Total
15791
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
10
0.06%
inapplicable
-8
14999
92.37%
proxy
-7
891
5.49%
don't know
-1
17
0.1%
Manager
1
85
0.52%
Foreman/supervis
2
54
0.33%
Not mnger/superv
3
182
1.12%
Total
16238
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
12
0.07%
inapplicable
-8
15361
92.55%
proxy
-7
889
5.36%
don't know
-1
24
0.14%
Manager
1
69
0.42%
Foreman/supervis
2
57
0.34%
Not mnger/superv
3
185
1.11%
Total
16597
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
15
0.08%
inapplicable
-8
15689
83.16%
proxy
-7
801
4.25%
don't know
-1
45
0.24%
Manager
1
332
1.76%
Foreman/supervis
2
439
2.33%
Not mnger/superv
3
1546
8.19%
Total
18867
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
22
0.14%
inapplicable
-8
14364
92.06%
proxy
-7
522
3.35%
don't know
-1
38
0.24%
Manager
1
142
0.91%
Foreman/supervis
2
126
0.81%
Not mnger/superv
3
389
2.49%
Total
15603
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
13
0.08%
inapplicable
-8
11442
73.24%
proxy
-7
435
2.78%
don't know
-1
156
1.0%
Manager
1
587
3.76%
Foreman/supervis
2
659
4.22%
Not mnger/superv
3
2331
14.92%
Total
15623
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
10
0.09%
inapplicable
-8
8717
79.93%
proxy
-7
358
3.28%
don't know
-1
112
1.03%
Manager
1
302
2.77%
Foreman/supervis
2
321
2.94%
Not mnger/superv
3
1086
9.96%
Total
10906
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
122
1.19%
inapplicable
-8
2665
25.96%
proxy
-7
352
3.43%
don't know
-1
395
3.85%
Manager
1
1159
11.29%
Foreman/supervis
2
1478
14.4%
Not mnger/superv
3
4093
39.88%
Total
10264
100.0%
Value label
Value
Absolute frequency
Relative frequency
no data from ukhls
-21
125105
74.3%
missing
-9
25104
14.91%
Manager
1
3505
2.08%
Foreman/supervis
2
3548
2.11%
Not mnger/superv
3
11115
6.6%
Total
168377
100.0%
Code creator
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Create your own Stata code to extract data from the main end user licence Understanding Society dataset. Find out more
Saved variables
Code creator
Create your own Stata code to extract data from the main end user licence Understanding Society dataset.
Save your variables
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The code will allow you to create your own data file containing just your variable selection, plus a handy set of commonly used sociodemographic variables and cross-sectional and longitudinal weight variables.
The Economic and Social Research Council is the primary funder of the study
The Study is led by a team at the Institute for Social and Economic Research (ISER) at the University of Essex.
