See PAJU, PABOSS, PAMNGR, PASOC*, PARGSC, PASEG, PAGOLD, PAISCON, PA1JUKSOC*, PAJLCBSOC* (The same information about mothers are in variable names starting with M instead of P)
See PAJU, PABOSS, PAMNGR, 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_PASEMP on data file BW_INDRESP/
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
13238
91.81%
proxy
-7
965
6.69%
don't know
-1
5
0.03%
Employee
1
164
1.14%
Self-employed
2
47
0.33%
Total
14419
100.0%
Mean
Number Missing
Min
Max
Std Dev
N
1.22
14208
1.0
2.0
0.42
211
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
13640
91.71%
proxy
-7
948
6.37%
don't know
-1
4
0.03%
Employee
1
222
1.49%
Self-employed
2
59
0.4%
Total
14873
100.0%
Mean
Number Missing
Min
Max
Std Dev
N
1.21
14592
1.0
2.0
0.41
281
Value label
Value
Absolute frequency
Relative frequency
missing
-9
2
0.01%
inapplicable
-8
14068
91.4%
proxy
-7
977
6.35%
don't know
-1
4
0.03%
Employee
1
260
1.69%
Self-employed
2
81
0.53%
Total
15392
100.0%
Mean
Number Missing
Min
Max
Std Dev
N
1.24
15051
1.0
2.0
0.43
341
Value label
Value
Absolute frequency
Relative frequency
missing
-9
12
0.08%
inapplicable
-8
14245
91.21%
proxy
-7
982
6.29%
don't know
-1
6
0.04%
Employee
1
299
1.91%
Self-employed
2
73
0.47%
Total
15617
100.0%
Mean
Number Missing
Min
Max
Std Dev
N
1.2
15245
1.0
2.0
0.4
372
Value label
Value
Absolute frequency
Relative frequency
missing
-9
8
0.05%
inapplicable
-8
14424
91.34%
proxy
-7
1014
6.42%
don't know
-1
6
0.04%
Employee
1
250
1.58%
Self-employed
2
89
0.56%
Total
15791
100.0%
Mean
Number Missing
Min
Max
Std Dev
N
1.26
15452
1.0
2.0
0.44
339
Value label
Value
Absolute frequency
Relative frequency
missing
-9
10
0.06%
inapplicable
-8
14901
91.77%
proxy
-7
891
5.49%
don't know
-1
2
0.01%
Employee
1
338
2.08%
Self-employed
2
96
0.59%
Total
16238
100.0%
Mean
Number Missing
Min
Max
Std Dev
N
1.22
15804
1.0
2.0
0.42
434
Value label
Value
Absolute frequency
Relative frequency
missing
-9
12
0.07%
inapplicable
-8
15255
91.91%
proxy
-7
889
5.36%
don't know
-1
2
0.01%
Employee
1
335
2.02%
Self-employed
2
104
0.63%
Total
16597
100.0%
Mean
Number Missing
Min
Max
Std Dev
N
1.24
16158
1.0
2.0
0.43
439
Value label
Value
Absolute frequency
Relative frequency
missing
-9
15
0.08%
inapplicable
-8
14779
78.33%
proxy
-7
801
4.25%
refusal
-2
2
0.01%
don't know
-1
15
0.08%
Employee
1
2362
12.52%
Self-employed
2
893
4.73%
Total
18867
100.0%
Mean
Number Missing
Min
Max
Std Dev
N
1.27
15612
1.0
2.0
0.45
3255
Value label
Value
Absolute frequency
Relative frequency
missing
-9
22
0.14%
inapplicable
-8
14157
90.73%
proxy
-7
522
3.35%
don't know
-1
9
0.06%
Employee
1
695
4.45%
Self-employed
2
198
1.27%
Total
15603
100.0%
Mean
Number Missing
Min
Max
Std Dev
N
1.22
14710
1.0
2.0
0.42
893
Value label
Value
Absolute frequency
Relative frequency
missing
-9
13
0.08%
inapplicable
-8
10701
68.5%
proxy
-7
435
2.78%
don't know
-1
51
0.33%
Employee
1
3733
23.89%
Self-employed
2
690
4.42%
Total
15623
100.0%
Mean
Number Missing
Min
Max
Std Dev
N
1.16
11200
1.0
2.0
0.36
4423
Value label
Value
Absolute frequency
Relative frequency
missing
-9
2
0.02%
inapplicable
-8
8298
76.09%
proxy
-7
358
3.28%
don't know
-1
12
0.11%
Employee
1
1829
16.77%
Self-employed
2
407
3.73%
Total
10906
100.0%
Mean
Number Missing
Min
Max
Std Dev
N
1.18
8670
1.0
2.0
0.39
2236
Value label
Value
Absolute frequency
Relative frequency
missing
-9
5
0.05%
inapplicable
-8
1175
11.45%
proxy
-7
352
3.43%
don't know
-1
31
0.3%
Employee
1
7242
70.56%
Self employed
2
1459
14.21%
Total
10264
100.0%
Mean
Number Missing
Min
Max
Std Dev
N
1.17
1563
1.0
2.0
0.37
8701
Value label
Value
Absolute frequency
Relative frequency
no data from ukhls
-21
125105
74.3%
missing
-9
19649
11.67%
Employee
1
19052
11.32%
Self employed
2
4571
2.71%
Total
168377
100.0%
Mean
Number Missing
Min
Max
Std Dev
N
-17.47
19649
-21.0
2.0
8.11
148728
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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.
