Country of birth for those not born in the UK. This question is asked when first interviewed. Coding frame aligned to UKHLS. This is the condensed version (for uncondensed version see PLBORNC_ALL available via Special License release only). Note: In less than 0.04% of cases this information was also asked of those who reported being born in the UK.
See BORNUK_DV, UKBORN, YR2UK4, PLBORND, PLBORNC_ALL
Country of birth for those not born in the UK. This question is asked when first interviewed. This is the condensed version (for uncondensed version see PLBORNC_ALL available via Special License release only). Note: In less than 0.04% of cases this information was also asked of those who reported being born in the UK. The coding frame of this variable f_plbornc was different for the IEMB sample in Wave 6. It included 2 additional categories, 28 "Portugal" and 29 "Brazil". For all other samples (GPS, EMB, BHPS), anyone reporting being born in Portugal and Brazil were coded 97 "other country" and can be identified in the detailed country code variable f_plbornc_all (special licence version only) where categories 312 and 142 represent Portugal and Brazil.
See BORNUK_DV, UKBORN, YR2UK4, PLBORND, PLBORNC_ALL
Derived variable note:
Country of birth for those not born in the UK. This question is asked when first interviewed. Coding frame aligned to UKHLS. This is the condensed version (for uncondensed version see PLBORNC_ALL available via Special License release only). Note: In less than 0.04% of cases this information was also asked of those who reported being born in the UK.
See BORNUK_DV, UKBORN, YR2UK4, PLBORND, PLBORNC_ALL
Derived variable note:
Uses W_PLBORNC on data file W_INDRESP Uses BW_PLBORNC on data file BW_INDRESP/
if ff_ivlolw 1 & ff_everint 1 (new entrant never interviewed) and if ukborn= 5 (Not born in the UK)
Further details: For further details about this question, please see the questionnaires
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
34212
96.45%
refusal
-2
4
0.01%
don't know
-1
1
0.0%
Republic of Ireland
5
42
0.12%
France
6
24
0.07%
Germany
7
45
0.13%
Italy
8
38
0.11%
Spain
9
20
0.06%
Poland
10
94
0.27%
Cyprus
11
6
0.02%
Turkey
12
15
0.04%
Australia
13
19
0.05%
New Zealand
14
10
0.03%
Canada
15
20
0.06%
U.S.A
16
42
0.12%
China/Hong Kong
17
37
0.1%
India
18
123
0.35%
Pakistan
19
50
0.14%
Bangladesh
20
31
0.09%
Sri Lanka
21
18
0.05%
Kenya
22
12
0.03%
Ghana
23
20
0.06%
Nigeria
24
49
0.14%
Uganda
25
5
0.01%
South Africa
26
36
0.1%
Jamaica
27
13
0.04%
Other country
97
485
1.37%
Total
35471
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
27925
99.74%
refusal
-2
1
0.0%
Republic of Ireland
5
1
0.0%
France
6
1
0.0%
Germany
7
1
0.0%
Poland
10
5
0.02%
Turkey
12
1
0.0%
Australia
13
2
0.01%
New Zealand
14
1
0.0%
Canada
15
1
0.0%
U.S.A
16
3
0.01%
China/Hong Kong
17
2
0.01%
India
18
6
0.02%
Pakistan
19
8
0.03%
Bangladesh
20
2
0.01%
Sri Lanka
21
1
0.0%
Ghana
23
1
0.0%
Nigeria
24
2
0.01%
Uganda
25
1
0.0%
South Africa
26
1
0.0%
Jamaica
27
1
0.0%
Other country
97
31
0.11%
Total
27998
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
29172
99.66%
don't know
-1
1
0.0%
Republic of Ireland
5
5
0.02%
France
6
1
0.0%
Germany
7
1
0.0%
Spain
9
2
0.01%
Poland
10
5
0.02%
Turkey
12
1
0.0%
Australia
13
1
0.0%
New Zealand
14
1
0.0%
Canada
15
1
0.0%
U.S.A
16
6
0.02%
China/Hong Kong
17
4
0.01%
India
18
17
0.06%
Pakistan
19
11
0.04%
Bangladesh
20
9
0.03%
Sri Lanka
21
4
0.01%
Kenya
22
1
0.0%
Nigeria
24
1
0.0%
South Africa
26
3
0.01%
Jamaica
27
1
0.0%
Other country
97
23
0.08%
Total
29271
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
31907
99.68%
refusal
-2
1
0.0%
Republic of Ireland
5
4
0.01%
Germany
7
4
0.01%
Italy
8
2
0.01%
Spain
9
3
0.01%
Poland
10
4
0.01%
Australia
13
1
0.0%
New Zealand
14
1
0.0%
Canada
15
2
0.01%
U.S.A
16
2
0.01%
China/Hong Kong
17
1
0.0%
India
18
9
0.03%
Pakistan
19
15
0.05%
Bangladesh
20
6
0.02%
Sri Lanka
21
3
0.01%
Kenya
22
2
0.01%
Ghana
23
1
0.0%
Nigeria
24
2
0.01%
South Africa
26
5
0.02%
Jamaica
27
1
0.0%
Other country
97
32
0.1%
Total
32008
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
34150
99.51%
Republic of Ireland
5
4
0.01%
France
6
3
0.01%
Germany
7
2
0.01%
Italy
8
3
0.01%
Spain
9
3
0.01%
Poland
10
5
0.01%
Cyprus
11
1
0.0%
Turkey
12
1
0.0%
Australia
13
1
0.0%
New Zealand
14
1
0.0%
U.S.A
16
2
0.01%
China/Hong Kong
17
2
0.01%
India
18
17
0.05%
Pakistan
19
29
0.08%
Bangladesh
20
7
0.02%
Kenya
22
3
0.01%
Ghana
23
6
0.02%
Nigeria
24
5
0.01%
South Africa
26
3
0.01%
Jamaica
27
5
0.01%
Other country
97
66
0.19%
Total
34319
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
35803
99.29%
Republic of Ireland
5
4
0.01%
France
6
5
0.01%
Germany
7
8
0.02%
Italy
8
4
0.01%
Poland
10
11
0.03%
Cyprus
11
1
0.0%
Turkey
12
1
0.0%
Australia
13
1
0.0%
New Zealand
14
1
0.0%
Canada
15
1
0.0%
U.S.A
16
7
0.02%
China/Hong Kong
17
2
0.01%
India
18
20
0.06%
Pakistan
19
47
0.13%
Bangladesh
20
20
0.06%
Sri Lanka
21
5
0.01%
Kenya
22
4
0.01%
Ghana
23
2
0.01%
Nigeria
24
8
0.02%
South Africa
26
2
0.01%
Jamaica
27
3
0.01%
Other country
97
98
0.27%
Total
36058
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
38953
99.13%
refusal
-2
2
0.01%
Republic of Ireland
5
9
0.02%
France
6
7
0.02%
Germany
7
5
0.01%
Italy
8
2
0.01%
Spain
9
3
0.01%
Poland
10
18
0.05%
Turkey
12
4
0.01%
Australia
13
3
0.01%
New Zealand
14
2
0.01%
Canada
15
1
0.0%
U.S.A
16
4
0.01%
China/Hong Kong
17
2
0.01%
India
18
49
0.12%
Pakistan
19
64
0.16%
Bangladesh
20
34
0.09%
Sri Lanka
21
16
0.04%
Kenya
22
1
0.0%
Ghana
23
3
0.01%
Nigeria
24
4
0.01%
South Africa
26
4
0.01%
Jamaica
27
10
0.03%
Other country
97
94
0.24%
Total
39294
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
41557
98.55%
refusal
-2
2
0.0%
Republic of Ireland
5
9
0.02%
France
6
6
0.01%
Germany
7
7
0.02%
Italy
8
8
0.02%
Spain
9
3
0.01%
Poland
10
37
0.09%
Cyprus
11
4
0.01%
Turkey
12
8
0.02%
Australia
13
3
0.01%
New Zealand
14
1
0.0%
Canada
15
4
0.01%
U.S.A
16
13
0.03%
China/Hong Kong
17
11
0.03%
India
18
85
0.2%
Pakistan
19
96
0.23%
Bangladesh
20
36
0.09%
Sri Lanka
21
5
0.01%
Kenya
22
13
0.03%
Ghana
23
13
0.03%
Nigeria
24
21
0.05%
Uganda
25
10
0.02%
South Africa
26
7
0.02%
Jamaica
27
15
0.04%
Other country
97
196
0.46%
Total
42170
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
41700
92.27%
refusal
-2
3
0.01%
don't know
-1
1
0.0%
republic of ireland
5
52
0.12%
france
6
44
0.1%
germany
7
38
0.08%
italy
8
51
0.11%
spain
9
36
0.08%
poland
10
193
0.43%
cyprus
11
26
0.06%
turkey
12
37
0.08%
australia
13
19
0.04%
new zealand
14
8
0.02%
canada
15
15
0.03%
u.s.a
16
31
0.07%
china/hong kong
17
53
0.12%
india
18
399
0.88%
pakistan
19
449
0.99%
bangladesh
20
159
0.35%
sri lanka
21
60
0.13%
kenya
22
80
0.18%
ghana
23
60
0.13%
nigeria
24
136
0.3%
uganda
25
40
0.09%
south africa
26
52
0.12%
jamaica
27
118
0.26%
portugal (IEMB only)
28
53
0.12%
brazil (IEMB only)
29
20
0.04%
other country
97
1259
2.79%
Total
45192
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
44533
99.32%
refusal
-2
1
0.0%
don't know
-1
1
0.0%
republic of ireland
5
5
0.01%
france
6
4
0.01%
germany
7
10
0.02%
italy
8
2
0.0%
spain
9
2
0.0%
poland
10
17
0.04%
turkey
12
2
0.0%
australia
13
3
0.01%
canada
15
2
0.0%
u.s.a
16
4
0.01%
china/ hong kong
17
7
0.02%
india
18
34
0.08%
pakistan
19
38
0.08%
bangladesh
20
26
0.06%
sri lanka
21
9
0.02%
kenya
22
10
0.02%
ghana
23
10
0.02%
nigeria
24
11
0.02%
uganda
25
1
0.0%
south africa
26
3
0.01%
jamaica
27
6
0.01%
other country
97
96
0.21%
Total
44837
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
46635
99.07%
republic of ireland
5
5
0.01%
france
6
5
0.01%
germany
7
15
0.03%
italy
8
3
0.01%
spain
9
6
0.01%
poland
10
22
0.05%
cyprus
11
1
0.0%
turkey
12
5
0.01%
australia
13
5
0.01%
new zealand
14
2
0.0%
canada
15
2
0.0%
u.s.a
16
9
0.02%
china/hong kong
17
10
0.02%
india
18
51
0.11%
pakistan
19
63
0.13%
bangladesh
20
44
0.09%
sri lanka
21
8
0.02%
kenya
22
6
0.01%
ghana
23
7
0.01%
nigeria
24
26
0.06%
uganda
25
4
0.01%
south africa
26
2
0.0%
jamaica
27
8
0.02%
other country
97
130
0.28%
Total
47074
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
48492
97.59%
republic of ireland
5
30
0.06%
france
6
18
0.04%
germany
7
29
0.06%
italy
8
15
0.03%
spain
9
8
0.02%
poland
10
34
0.07%
cyprus
11
4
0.01%
turkey
12
17
0.03%
australia
13
6
0.01%
new zealand
14
2
0.0%
canada
15
8
0.02%
u.s.a
16
11
0.02%
china/ hong kong
17
19
0.04%
india
18
136
0.27%
pakistan
19
178
0.36%
bangladesh
20
148
0.3%
sri lanka
21
31
0.06%
kenya
22
13
0.03%
ghana
23
24
0.05%
nigeria
24
37
0.07%
uganda
25
21
0.04%
south africa
26
17
0.03%
jamaica
27
36
0.07%
other country
97
358
0.72%
Total
49692
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
52982
97.09%
refusal
-2
1
0.0%
republic of ireland
5
42
0.08%
france
6
12
0.02%
germany
7
46
0.08%
italy
8
14
0.03%
spain
9
13
0.02%
poland
10
62
0.11%
cyprus
11
10
0.02%
turkey
12
15
0.03%
australia
13
9
0.02%
new zealand
14
6
0.01%
canada
15
9
0.02%
u.s.a
16
19
0.03%
china/hong kong
17
22
0.04%
india
18
225
0.41%
pakistan
19
218
0.4%
bangladesh
20
199
0.36%
sri lanka
21
34
0.06%
kenya
22
18
0.03%
ghana
23
25
0.05%
nigeria
24
45
0.08%
uganda
25
18
0.03%
south africa
26
26
0.05%
jamaica
27
43
0.08%
other country
97
455
0.83%
Total
54568
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
41250
80.89%
refusal
-2
1
0.0%
don't know
-1
1
0.0%
republic of ireland
5
330
0.65%
france
6
94
0.18%
germany
7
252
0.49%
italy
8
85
0.17%
spain
9
52
0.1%
poland
10
318
0.62%
cyprus
11
61
0.12%
turkey
12
132
0.26%
australia
13
67
0.13%
new zealand
14
51
0.1%
canada
15
52
0.1%
u.s.a
16
134
0.26%
china/hong kong
17
238
0.47%
india
18
1203
2.36%
pakistan
19
960
1.88%
bangladesh
20
919
1.8%
sri lanka
21
262
0.51%
kenya
22
203
0.4%
ghana
23
230
0.45%
nigeria
24
334
0.65%
uganda
25
101
0.2%
south africa
26
183
0.36%
jamaica
27
410
0.8%
other country
97
3071
6.02%
Total
50994
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
14167
98.25%
proxy
-7
231
1.6%
republic of ireland
5
4
0.03%
germany
7
1
0.01%
italy
8
1
0.01%
turkey
12
1
0.01%
australia
13
1
0.01%
new zealand
14
1
0.01%
u.s.a
16
2
0.01%
sri lanka
21
2
0.01%
kenya
22
1
0.01%
south africa
26
1
0.01%
other country
97
6
0.04%
Total
14419
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
1
0.01%
inapplicable
-8
14576
98.0%
proxy
-7
265
1.78%
republic of ireland
5
1
0.01%
france
6
1
0.01%
germany
7
2
0.01%
italy
8
1
0.01%
poland
10
4
0.03%
australia
13
2
0.01%
canada
15
1
0.01%
pakistan
19
2
0.01%
bangladesh
20
1
0.01%
ghana
23
1
0.01%
uganda
25
1
0.01%
south africa
26
3
0.02%
other country
97
11
0.07%
Total
14873
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
1
0.01%
inapplicable
-8
15068
97.9%
proxy
-7
300
1.95%
republic of ireland
5
3
0.02%
france
6
1
0.01%
germany
7
3
0.02%
italy
8
1
0.01%
poland
10
2
0.01%
u.s.a
16
1
0.01%
india
18
1
0.01%
bangladesh
20
1
0.01%
ghana
23
1
0.01%
south africa
26
1
0.01%
other country
97
8
0.05%
Total
15392
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
17
0.11%
inapplicable
-8
15248
97.64%
proxy
-7
310
1.99%
republic of ireland
5
4
0.03%
france
6
1
0.01%
germany
7
10
0.06%
italy
8
1
0.01%
poland
10
1
0.01%
turkey
12
1
0.01%
australia
13
2
0.01%
new zealand
14
1
0.01%
u.s.a
16
2
0.01%
china/ hong kong
17
1
0.01%
pakistan
19
1
0.01%
kenya
22
1
0.01%
uganda
25
1
0.01%
south africa
26
1
0.01%
other country
97
14
0.09%
Total
15617
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
9
0.06%
inapplicable
-8
14734
93.31%
proxy
-7
1014
6.42%
republic of ireland
5
8
0.05%
germany
7
4
0.03%
u.s.a
16
1
0.01%
china/ hong kong
17
1
0.01%
india
18
2
0.01%
pakistan
19
3
0.02%
south africa
26
1
0.01%
other country
97
14
0.09%
Total
15791
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
12
0.07%
inapplicable
-8
15296
94.2%
proxy
-7
891
5.49%
republic of ireland
5
4
0.02%
france
6
2
0.01%
germany
7
6
0.04%
cyprus
11
1
0.01%
turkey
12
2
0.01%
canada
15
3
0.02%
u.s.a
16
2
0.01%
india
18
1
0.01%
sri lanka
21
2
0.01%
south africa
26
2
0.01%
jamaica
27
2
0.01%
other country
97
12
0.07%
Total
16238
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
13
0.08%
inapplicable
-8
15659
94.35%
proxy
-7
889
5.36%
republic of ireland
5
5
0.03%
germany
7
2
0.01%
italy
8
1
0.01%
australia
13
2
0.01%
canada
15
3
0.02%
u.s.a
16
4
0.02%
china/ hong kong
17
1
0.01%
india
18
1
0.01%
pakistan
19
3
0.02%
kenya
22
1
0.01%
south africa
26
1
0.01%
jamaica
27
1
0.01%
other country
97
11
0.07%
Total
16597
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
59
0.31%
inapplicable
-8
17823
94.47%
proxy
-7
801
4.25%
republic of ireland
5
81
0.43%
france
6
2
0.01%
germany
7
13
0.07%
poland
10
1
0.01%
cyprus
11
1
0.01%
australia
13
5
0.03%
new zealand
14
3
0.02%
canada
15
9
0.05%
u.s.a
16
11
0.06%
china/ hong kong
17
2
0.01%
india
18
5
0.03%
pakistan
19
2
0.01%
bangladesh
20
2
0.01%
sri lanka
21
1
0.01%
uganda
25
1
0.01%
south africa
26
3
0.02%
jamaica
27
1
0.01%
other country
97
41
0.22%
Total
18867
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
21
0.13%
inapplicable
-8
15000
96.14%
proxy
-7
522
3.35%
republic of ireland
5
3
0.02%
france
6
2
0.01%
germany
7
10
0.06%
italy
8
1
0.01%
poland
10
1
0.01%
cyprus
11
1
0.01%
turkey
12
1
0.01%
australia
13
7
0.04%
new zealand
14
1
0.01%
canada
15
3
0.02%
u.s.a
16
3
0.02%
china/ hong kong
17
1
0.01%
india
18
1
0.01%
pakistan
19
4
0.03%
bangladesh
20
2
0.01%
kenya
22
1
0.01%
south africa
26
4
0.03%
other country
97
14
0.09%
Total
15603
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
14
0.09%
inapplicable
-8
14988
95.94%
proxy
-7
435
2.78%
republic of ireland
5
27
0.17%
france
6
1
0.01%
germany
7
31
0.2%
italy
8
5
0.03%
cyprus
11
1
0.01%
australia
13
7
0.04%
new zealand
14
1
0.01%
canada
15
2
0.01%
u.s.a
16
8
0.05%
china/ hong kong
17
6
0.04%
india
18
4
0.03%
pakistan
19
12
0.08%
bangladesh
20
1
0.01%
sri lanka
21
3
0.02%
ghana
23
4
0.03%
uganda
25
1
0.01%
south africa
26
6
0.04%
jamaica
27
1
0.01%
other country
97
65
0.42%
Total
15623
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
2
0.02%
inapplicable
-8
10518
96.44%
proxy
-7
358
3.28%
republic of ireland
5
5
0.05%
germany
7
3
0.03%
italy
8
1
0.01%
australia
13
1
0.01%
new zealand
14
2
0.02%
u.s.a
16
1
0.01%
pakistan
19
2
0.02%
kenya
22
2
0.02%
south africa
26
1
0.01%
other country
97
10
0.09%
Total
10906
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
4
0.04%
inapplicable
-8
10696
95.56%
proxy
-7
365
3.26%
republic of ireland
5
19
0.17%
france
6
4
0.04%
germany
7
9
0.08%
italy
8
1
0.01%
poland
10
4
0.04%
cyprus
11
1
0.01%
turkey
12
1
0.01%
australia
13
5
0.04%
canada
15
2
0.02%
u.s.a
16
6
0.05%
china/ hong kong
17
2
0.02%
india
18
8
0.07%
pakistan
19
9
0.08%
bangladesh
20
10
0.09%
kenya
22
4
0.04%
ghana
23
1
0.01%
uganda
25
2
0.02%
south africa
26
4
0.04%
jamaica
27
4
0.04%
other country
97
32
0.29%
Total
11193
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
3
0.03%
inapplicable
-8
9099
96.41%
proxy
-7
301
3.19%
republic of ireland
5
1
0.01%
france
6
2
0.02%
germany
7
5
0.05%
italy
8
1
0.01%
cyprus
11
1
0.01%
australia
13
1
0.01%
canada
15
2
0.02%
u.s.a
16
2
0.02%
china/ hong kong
17
1
0.01%
india
18
3
0.03%
pakistan
19
3
0.03%
bangladesh
20
1
0.01%
south africa
26
1
0.01%
jamaica
27
2
0.02%
other country
97
9
0.1%
Total
9438
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
5
0.05%
inapplicable
-8
8789
95.03%
proxy
-7
422
4.56%
republic of ireland
5
1
0.01%
germany
7
4
0.04%
australia
13
3
0.03%
new zealand
14
1
0.01%
u.s.a
16
3
0.03%
china/ hong kong
17
1
0.01%
pakistan
19
3
0.03%
bangladesh
20
2
0.02%
kenya
22
2
0.02%
south africa
26
3
0.03%
jamaica
27
2
0.02%
other country
97
8
0.09%
Total
9249
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
6
0.06%
inapplicable
-8
9009
95.02%
proxy
-7
421
4.44%
republic of ireland
5
1
0.01%
france
6
1
0.01%
germany
7
1
0.01%
italy
8
2
0.02%
cyprus
11
2
0.02%
turkey
12
1
0.01%
australia
13
1
0.01%
new zealand
14
3
0.03%
canada
15
1
0.01%
u.s.a
16
1
0.01%
india
18
1
0.01%
pakistan
19
3
0.03%
kenya
22
1
0.01%
ghana
23
1
0.01%
uganda
25
1
0.01%
south africa
26
5
0.05%
jamaica
27
1
0.01%
other country
97
18
0.19%
Total
9481
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
4
0.04%
inapplicable
-8
8986
93.6%
proxy
-7
576
6.0%
republic of ireland
5
4
0.04%
germany
7
4
0.04%
australia
13
2
0.02%
canada
15
2
0.02%
china/ hong kong
17
1
0.01%
india
18
2
0.02%
pakistan
19
3
0.03%
bangladesh
20
4
0.04%
sri lanka
21
1
0.01%
south africa
26
1
0.01%
other country
97
10
0.1%
Total
9600
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
23
0.23%
inapplicable
-8
9375
95.23%
proxy
-7
386
3.92%
republic of ireland
5
5
0.05%
france
6
1
0.01%
germany
7
6
0.06%
italy
8
1
0.01%
poland
10
1
0.01%
cyprus
11
1
0.01%
australia
13
3
0.03%
new zealand
14
3
0.03%
canada
15
1
0.01%
u.s.a
16
2
0.02%
india
18
2
0.02%
pakistan
19
2
0.02%
bangladesh
20
1
0.01%
kenya
22
2
0.02%
ghana
23
1
0.01%
south africa
26
5
0.05%
jamaica
27
2
0.02%
other country
97
22
0.22%
Total
9845
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
312
3.04%
inapplicable
-8
9244
90.06%
republic of ireland
5
107
1.04%
france
6
5
0.05%
germany
7
46
0.45%
italy
8
23
0.22%
poland
10
10
0.1%
cyprus
11
14
0.14%
turkey
12
3
0.03%
australia
13
18
0.18%
new zealand
14
10
0.1%
canada
15
9
0.09%
u.s.a
16
21
0.2%
china/ hong kong
17
10
0.1%
india
18
73
0.71%
pakistan
19
45
0.44%
bangladesh
20
13
0.13%
sri lanka
21
4
0.04%
kenya
22
33
0.32%
ghana
23
5
0.05%
uganda
25
15
0.15%
south africa
26
18
0.18%
jamaica
27
33
0.32%
29
2
0.02%
other country
97
191
1.86%
Total
10264
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
147795
88.39%
Republic of Ireland
5
779
0.47%
France
6
232
0.14%
Germany
7
583
0.35%
Italy
8
250
0.15%
Spain
9
162
0.1%
Poland
10
799
0.48%
Cyprus
11
126
0.08%
Turkey
12
223
0.13%
Australia
13
193
0.12%
New Zealand
14
108
0.06%
Canada
15
149
0.09%
U.S.A
16
344
0.21%
China/Hong Kong
17
408
0.24%
India
18
2197
1.31%
Pakistan
19
2011
1.2%
Bangladesh
20
1425
0.85%
Sri Lanka
21
420
0.25%
Kenya
22
382
0.23%
Ghana
23
385
0.23%
Nigeria
24
651
0.39%
Uganda
25
193
0.12%
South Africa
26
376
0.22%
Jamaica
27
664
0.4%
Other country
97
6353
3.8%
Total
167208
100.0%
Code creator
0
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
Click Build data file to generate your code.
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.
