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pid Cross-wave person identifier
Record Type XWAVEDAT
Valid cases 43272 Missing cases 0

pidp Cross-wave person identifier (UKHLS)
Record Type XWAVEDAT
Valid cases 43272 Missing cases 0

sex Sex
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
Male 1 21368 49.4 49.4
Female 2 21866 50.5 50.6
Missing -9 38 .1 Missing
Valid cases 43234 Missing cases 38
Index Terms Socio-demographic Characteristics

dobm Month of Birth
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
January 1 3532 8.2 8.4
February 2 3320 7.7 7.8
March 3 3782 8.7 8.9
April 4 3676 8.5 8.7
May 5 3587 8.3 8.5
June 6 3554 8.2 8.4
July 7 3569 8.2 8.4
August 8 3568 8.2 8.4
September 9 3651 8.4 8.6
October 10 3432 7.9 8.1
November 11 3269 7.6 7.7
December 12 3353 7.7 7.9
Missing -9 979 2.3 Missing
Valid cases 42293 Missing cases 979
Index Terms Socio-demographic Characteristics

doby Year of Birth
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
1965.77 59.51 1894 9898
Value Label Value Frequency % Valid %
Year given 1 42397 98.0 100.0
Missing -9 875 2.0 Missing
Valid cases 42397 Missing cases 875
Index Terms Socio-demographic Characteristics

memorig Sample Origin
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
Original sample 1 24284 56.1 56.1
ECHP – SCPR 2 1308 3.0 3.0
ECHP – ONS 3 1179 2.7 2.7
ECHP – NI 4 365 .8 .8
Wales new sample 5 5173 12.0 12.0
Scotland new sample 6 4914 11.4 11.4
N.I. new sample 7 6049 14.0 14.0
Valid cases 43272 Missing cases 0
Index Terms Interview Characteristics and Conditions

plbornd District of Birth
Record Type XWAVEDAT
Valid cases 27287 Missing cases 15985
Socio-demographic Characteristics

plbornc Country of Birth
Record Type XWAVEDAT
Valid cases 1676 Missing cases 41596
Geographic Location
Socio-demographic Characteristics

yr2uk4 Year came to Britain
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
1974.93 18.36 1906 2008
Value Label Value Frequency % Valid %
Year given 1 1601 3.7 100.0
Missing or wild -9 291 .7 Missing
Inapplicable -8 41363 95.6 Missing
Don’t know -1 17 .0 Missing
Valid cases 1601 Missing cases 41671
Index Terms Geographic Location
Socio-demographic Characteristics

citzn1 3 digit Citizenship: 1st mention
Record Type XWAVEDAT
Valid cases 26660 Missing cases 16612

citzn2 3 digit Citizenship: 2nd mention
Record Type XWAVEDAT
Valid cases 26678 Missing cases 16594

race Ethnic group membership
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
White 1 26348 60.9 96.9
Black-Carib 2 134 .3 .5
Black-African 3 86 .2 .3
Black-Other 4 63 .1 .2
Indian 5 195 .5 .7
Pakistani 6 137 .3 .5
Bangladeshi 7 41 .1 .2
Chinese 8 24 .1 .1
Other ethnic grp 9 162 .4 .6
Missing or wild -9 157 .4 Missing
Inapplicable -8 15899 36.7 Missing
Refused -2 26 .1 Missing
Valid cases 27190 Missing cases 16082
Index Terms Ethnicity
Socio-demographic Characteristics

racel Ethnic group membership (long version)
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
White British 1 11956 27.6 66.1
White Irish 2 1020 2.4 5.6
White Welsh 3 1742 4.0 9.6
White Scottish 4 2328 5.4 12.9
Other white b’ground 5 549 1.3 3.0
B Caribbean 6 32 .1 .2
B African 7 12 .0 .1
Mix white and Asian 8 22 .1 .1
Other mixed b’ground 9 31 .1 .2
Asian/Brit Indian 10 112 .3 .6
Asian/Brit Pakistani 11 81 .2 .4
Asian/Brit Banglades 12 18 .0 .1
Other Asian b’ground 13 33 .1 .2
Black/Brit Caribbean 14 31 .1 .2
Black/Brit African 15 26 .1 .1
Other Black b’ground 16 12 .0 .1
Chinese 17 16 .0 .1
Any other 18 55 .1 .3
Missing -9 22 .1 Missing
Inapplicable -8 25159 58.1 Missing
Refused -2 12 .0 Missing
Don’t know -1 3 .0 Missing
Valid cases 18076 Missing cases 25196
Index Terms Ethnicity
Socio-demographic Characteristics

paju Father not working when resp. aged 14
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 293 0.68 Missing
inapplicable -8 37997 87.81 Missing
refused -2 7 0.02 Missing
don’t know -1 658 1.52 Missing
Father not work 0 1360 3.14 31.5
Father deceased 1 1178 2.72 27.29
Father not live 2 480 1.11 11.12
3 1299 3.00 30.09
Total 43272 100.00
Valid cases 4317 Missing cases 38955
Index Terms Socio-demographic Characteristics

pasoc Father’s occupation (SOC), resp. aged 14
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 302 0.70 Missing
inapplicable -8 22494 51.98 Missing
[Value >= 0] 20476 47.32 100.0
Total 43272 100.00
Valid cases 20476 Missing cases 22796
Index Terms Employment: Industrial and Occupational Classification
Socio-demographic Characteristics

pasemp Father self employed, resp. aged 14
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 261 0.60 Missing
inapplicable -8 19239 44.46 Missing
refused -2 2 0.00 Missing
don’t know -1 147 0.34 Missing
Employee 1 19052 44.03 80.65
Self employed 2 4571 10.56 19.35
Total 43272 100.00
Valid cases 23623 Missing cases 19649
Index Terms Socio-demographic Characteristics

paboss Father had employees, resp. aged 14
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 289 0.67 Missing
inapplicable -8 38405 88.75 Missing
don’t know -1 65 0.15 Missing
Work on own 1 1964 4.54 43.52
Had employees 2 2549 5.89 56.48
Total 43272 100.00
Valid cases 4513 Missing cases 38759
Index Terms Socio-demographic Characteristics

pamngr Father was manager, resp. aged 14
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 404 0.93 Missing
inapplicable -8 23832 55.07 Missing
don’t know -1 868 2.01 Missing
Manager 1 3505 8.10 19.29
Foreman/supervis 2 3548 8.20 19.53
Not mnger/superv 3 11115 25.69 61.18
Total 43272 100.00
Valid cases 18168 Missing cases 25104
Index Terms Socio-demographic Characteristics

maju Mother not working when resp. aged 14
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 205 0.47 Missing
inapplicable -8 28424 65.69 Missing
refused -2 2 0.00 Missing
don’t know -1 403 0.93 Missing
Mother not work 0 13257 30.64 93.11
Mother deceased 1 575 1.33 4.04
Mother not live 2 128 0.30 0.9
3 278 0.64 1.95
Total 43272 100.00
Valid cases 14238 Missing cases 29034
Index Terms Socio-demographic Characteristics

masoc Mother’s occupation (SOC), resp. aged 14
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 207 0.48 Missing
inapplicable -8 30385 70.22 Missing
refused -2 31 0.07 Missing
don’t know -1 1 0.00 Missing
[Value >= 0] 12648 29.23 100.0
Total 43272 100.00
Valid cases 12648 Missing cases 30624
Index Terms Employment: Industrial and Occupational Classification
Socio-demographic Characteristics

masemp Mother self employed, resp. aged 14
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 189 0.44 Missing
inapplicable -8 28928 66.85 Missing
don’t know -1 245 0.57 Missing
Employee 1 12568 29.04 90.35
Self employed 2 1342 3.10 9.65
Total 43272 100.00
Valid cases 13910 Missing cases 29362
Index Terms Socio-demographic Characteristics

maboss Mother had employees, resp. aged 14
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 201 0.46 Missing
inapplicable -8 41728 96.43 Missing
don’t know -1 13 0.03 Missing
Work on own 1 758 1.75 56.99
Had employees 2 572 1.32 43.01
Total 43272 100.00
Valid cases 1330 Missing cases 41942
Index Terms Socio-demographic Characteristics

mamngr Mother was manager, resp. aged 14
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 254 0.59 Missing
inapplicable -8 30469 70.41 Missing
don’t know -1 399 0.92 Missing
Manager 1 1015 2.35 8.35
Foreman/supervis 2 1449 3.35 11.93
Not mnger/superv 3 9686 22.38 79.72
Total 43272 100.00
Valid cases 12150 Missing cases 31122
Index Terms Socio-demographic Characteristics

j1soc First job (SOC) after leaving school
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 118 0.27 Missing
inapplicable -8 24161 55.84 Missing
refused -2 11 0.03 Missing
[Value >= 0] 18982 43.87 100.0
Total 43272 100.00
Valid cases 18982 Missing cases 24290
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Employment History: Size, Sector and Duties
Note

This variable is constructed from data in wJ1 variables and does not include data from BLIFEMST CLIFEJOB or wJOBHIST files.

j1none Still in f-t education/ never had job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 146 0.34 Missing
inapplicable -8 42265 97.67 Missing
refused -2 5 0.01 Missing
Still in ft edn 1 591 1.37 69.04
Never had job 2 265 0.61 30.96
Total 43272 100.00
Valid cases 856 Missing cases 42416
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Employment History: Labour Force Status Spells
Note

See note for J1SOC.

j1semp Employee or self-employed: first job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 188 0.43 Missing
inapplicable -8 20399 47.14 Missing
Employee 1 15422 35.64 67.98
Self-employed 2 6910 15.97 30.46
3 353 0.82 1.56
Total 43272 100.00
Valid cases 22685 Missing cases 20587
Index Terms Employment: Labour Force Status
Employment History: Size, Sector and Duties
Note

See note for J1SOC.

j1boss Hired employees: first job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 129 0.30 Missing
inapplicable -8 42857 99.04 Missing
Worked on own 1 41 0.09 14.34
Had employees 2 245 0.57 85.66
Total 43272 100.00
Valid cases 286 Missing cases 42986
Index Terms Employment: Labour Force Status
Employment History: Size, Sector and Duties
Note

See note for J1SOC.

j1mngr Managerial duties: first job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 188 0.43 Missing
inapplicable -8 20879 48.25 Missing
refused -2 1 0.00 Missing
Manager 1 907 2.10 4.08
Foreman/supervis 2 7050 16.29 31.75
Not mnger/superv 3 14247 32.92 64.16
Total 43272 100.00
Valid cases 22204 Missing cases 21068
Index Terms Employment History: Size, Sector and Duties
Note

See note for J1SOC.

lcoh Ever cohabited without marrying
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 375 0.87 Missing
inapplicable -8 18129 41.90 Missing
refused -2 50 0.12 Missing
don’t know -1 1 0.00 Missing
Yes 1 5154 11.91 20.85
No 2 19563 45.21 79.15
Total 43272 100.00
Valid cases 24717 Missing cases 18555
Index Terms Marital and Cohabitation History
Note

This variable is constructed from annually collected data and does not include data from wCOHABIT files.

coh1bm Month first began cohabitating
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 409 0.95 Missing
inapplicable -8 37920 87.63 Missing
refused -2 5 0.01 Missing
don’t know -1 1243 2.87 Missing
January 1 352 0.81 9.53
February 2 232 0.54 6.28
March 3 281 0.65 7.6
April 4 276 0.64 7.47
May 5 271 0.63 7.33
June 6 400 0.92 10.83
July 7 293 0.68 7.93
August 8 339 0.78 9.17
September 9 416 0.96 11.26
October 10 316 0.73 8.55
November 11 252 0.58 6.82
December 12 257 0.59 6.96
14 4 0.01 0.11
15 5 0.01 0.14
16 1 0.00 0.03
Total 43272 100.00
Valid cases 3695 Missing cases 39577
Index Terms Marital and Cohabitation History
Note

See note for LCOH.

coh1by Year first began cohabitating
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
1988.82 161.57 1930 9998
Value Label Value Frequency % Valid %
missing or wild -9 374 0.86 Missing
inapplicable -8 37842 87.45 Missing
refused -2 10 0.02 Missing
don’t know -1 110 0.25 Missing
[Value >= 0] 4936 11.41 100.0
Total 43272 100.00
Valid cases 4936 Missing cases 38336
Index Terms Marital and Cohabitation History
Note

See note for LCOH.

coh1mr Went on to marry first cohabitee
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 370 0.86 Missing
inapplicable -8 37842 87.45 Missing
don’t know -1 8 0.02 Missing
Yes 1 2026 4.68 40.1
No 2 3026 6.99 59.9
Total 43272 100.00
Valid cases 5052 Missing cases 38220
Index Terms Marital and Cohabitation History
Note

See note for LCOH.

nmar No. of times resp. married
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 404 0.93 Missing
inapplicable -8 18477 42.70 Missing
Never married 0 8068 18.64 33.08
Once 1 14210 32.84 58.26
Twice 2 1929 4.46 7.91
Three times 3 170 0.39 0.7
More than three 4 14 0.03 0.06
Total 43272 100.00
Valid cases 24391 Missing cases 18881
Index Terms Marital and Cohabitation History
Note

This variable is constructed from annually collected data and does not include data from wMARRIAG files.

lmar1m Month of first marriage
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 414 0.96 Missing
inapplicable -8 25344 58.57 Missing
refused -2 1 0.00 Missing
don’t know -1 394 0.91 Missing
January 1 636 1.47 3.72
February 2 808 1.87 4.72
March 3 1672 3.86 9.77
April 4 1398 3.23 8.17
May 5 1176 2.72 6.87
June 6 1784 4.12 10.42
July 7 1919 4.43 11.21
August 8 2259 5.22 13.2
September 9 2140 4.95 12.5
October 10 1471 3.40 8.59
November 11 826 1.91 4.83
December 12 1021 2.36 5.96
13 2 0.00 0.01
15 3 0.01 0.02
16 4 0.01 0.02
Total 43272 100.00
Valid cases 17119 Missing cases 26153
Index Terms Marital and Cohabitation History
Note

See note for NMAR.

lmar1y Year of first marriage
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
1973.14 18.32 1914 2008
Value Label Value Frequency % Valid %
missing or wild -9 405 0.94 Missing
inapplicable -8 25257 58.37 Missing
refused -2 10 0.02 Missing
don’t know -1 102 0.24 Missing
[Value >= 0] 17498 40.44 100.0
Total 43272 100.00
Valid cases 17498 Missing cases 25774
Index Terms Marital and Cohabitation History
Note

See note for NMAR.

lprnt Natural parent of children
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 754 1.74 Missing
inapplicable -8 18129 41.90 Missing
refused -2 4 0.01 Missing
Yes 1 16730 38.66 68.61
No 2 7655 17.69 31.39
Total 43272 100.00
Valid cases 24385 Missing cases 18887
Index Terms Children
Fertility
Note

See note for NMAR.

lnprnt No. of children resp. natural parent to
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
1 1941 4.5 25.4
2 2865 6.6 37.5
3 1645 3.8 21.6
4 660 1.5 8.6
5 261 .6 3.4
6 134 .3 1.8
7 63 .1 .8
8 26 .1 .3
9 20 .0 .3
10 7 .0 .1
11 3 .0 .0
12 2 .0 .0
13 1 .0 .0
16 1 .0 .0
18 1 .0 .0
30 1 .0 .0
Missing or wild -9 2287 5.3 Missing
Not applicable -8 33354 77.1 Missing
Valid cases 7631 Missing cases 35641
Index Terms Children
Fertility
Note

This variable is collected from annaually collected data and does not include data from wCHILDNT files.

ch1bm Month first child born
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 750 1.73 Missing
inapplicable -8 26054 60.21 Missing
refused -2 5 0.01 Missing
don’t know -1 227 0.52 Missing
January 1 1437 3.32 8.85
February 2 1221 2.82 7.52
March 3 1462 3.38 9.0
April 4 1264 2.92 7.79
May 5 1349 3.12 8.31
June 6 1408 3.25 8.67
July 7 1429 3.30 8.8
August 8 1376 3.18 8.47
September 9 1402 3.24 8.64
October 10 1323 3.06 8.15
November 11 1309 3.03 8.06
December 12 1256 2.90 7.74
Total 43272 100.00
Valid cases 16236 Missing cases 27036
Index Terms Children
Fertility
Note

See note for LNPRNT.

ch1by Year first child born
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
1980.63 17.63 1922 2008
Value Label Value Frequency % Valid %
missing or wild -9 733 1.69 Missing
inapplicable -8 32159 74.32 Missing
refused -2 3 0.01 Missing
don’t know -1 94 0.22 Missing
[Value >= 0] 10283 23.76 100.0
Total 43272 100.00
Valid cases 10283 Missing cases 32989
Index Terms Children
Fertility
Note

See note for LNPRNT.

school Never went to /still at school
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
Never went school 1 68 .2 2.3
Still at school 2 2846 6.6 97.7
Missing or wild -9 143 .3 Missing
Inapplicable -8 40215 92.9 Missing
Valid cases 2914 Missing cases 40358
Index Terms Education: Background and Attainments
Note

This data can vary for those who have left school recently.

scend School leaving age
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
5 1 .0 .0
7 3 .0 .0
8 3 .0 .0
9 4 .0 .0
10 19 .0 .1
11 19 .0 .1
12 47 .1 .2
13 206 .5 .7
14 3615 8.4 12.9
15 5867 13.6 21.0
16 10577 24.4 37.8
17 2972 6.9 10.6
18 4177 9.7 14.9
19 367 .8 1.3
20 45 .1 .2
21 16 .0 .1
22 9 .0 .0
23 5 .0 .0
24 2 .0 .0
26 2 .0 .0
Missing or wild -9 143 .3 Missing
Inapplicable -8 15143 35.0 Missing
Refused -2 3 .0 Missing
Don’t know -1 27 .1 Missing
Valid cases 27956 Missing cases 15316
Index Terms Education: Background and Attainments
Note

See note for SCEND.

sctype Type of school attended
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
Comprehensive school 1 9582 22.1 31.0
Grammar not fee pay 2 3486 8.1 11.3
Grammar fee-paying 3 574 1.3 1.9
Sixth form College 4 1654 3.8 5.3
other privt 5 1300 3.0 4.2
Elementary 6 2009 4.6 6.5
Secondary modern 7 10201 23.6 33.0
Technical 8 842 1.9 2.7
Other specif school 9 1303 3.0 4.2
Missing or wild -9 235 .5 Missing
Inapplicable -8 12054 27.9 Missing
Refused -2 2 .0 Missing
Don’t know -1 30 .1 Missing
Valid cases 30951 Missing cases 12321
Index Terms Education: Background and Attainments
Note

See note for SCEND.

scnow Still at school
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
Yes 1 2963 6.8 9.5
No 2 28168 65.1 90.5
Missing or wild -9 105 .2 Missing
Inapplicable -8 12036 27.8 Missing
Valid cases 31131 Missing cases 12141
Index Terms Education: Background and Attainments
Education: Recent Education and Training
Note

See note for SCEND.

fetype Type of further education attended
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
Nursing school etc 1 706 1.6 2.5
College of f educ 2 5566 12.9 19.8
Other trng establmnt 3 1593 3.7 5.7
Polytechnic 4 662 1.5 2.4
University 5 3882 9.0 13.8
None of the above 7 15710 36.3 55.9
Missing or wild -9 95 .2 Missing
Inapplicable -8 15042 34.8 Missing
Refused -2 3 .0 Missing
Don’t know -1 13 .0 Missing
Valid cases 28119 Missing cases 15153
Index Terms Education: Background and Attainments
Note

This data can vary for those who have left further education recently.

fenow Still in further education
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
Still in f educ 1 2763 6.4 100.0
Missing or wild -9 179 .4 Missing
Inapplicable -8 40329 93.2 Missing
Don’t know -1 1 .0 Missing
Valid cases 2763 Missing cases 40509
Index Terms Education: Background and Attainments
Education: Recent Education and Training

feend Further education leaving age
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
21.37 5.43 14 80
Value Label Value Frequency % Valid %
Year given 1 9551 22.1 100.0
Missing or wild -9 179 .4 Missing
Inapplicable -8 33531 77.5 Missing
Don’t know -1 11 .0 Missing
Valid cases 9551 Missing cases 33721
Index Terms Education: Background and Attainments

bwtxp Born when expected
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
Yes 1 1882 4.3 53.9
No 2 1607 3.7 46.1
Missing -9 2763 6.4 Missing
Not applicable -8 37006 85.5 Missing
Refused -2 3 .0 Missing
Don’t know -1 11 .0 Missing
Valid cases 3489 Missing cases 39783
Index Terms Children
Fertility

bwtel Born early or late
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 2764 6.39 Missing
inapplicable -8 38902 89.90 Missing
Early 1 889 2.05 55.35
Late 2 717 1.66 44.65
Total 43272 100.00
Valid cases 1606 Missing cases 41666
Index Terms Children
Fertility

bwtwk Weeks early or late
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
1 238 .6 14.8
2 931 2.2 57.9
3 212 .5 13.2
4 78 .2 4.9
5 32 .1 2.0
6 44 .1 2.7
7 23 .1 1.4
8 20 .0 1.2
9 5 .0 .3
10 9 .0 .6
11 4 .0 .2
12 5 .0 .3
13 1 .0 .1
14 2 .0 .1
15 2 .0 .1
17 1 .0 .1
Missing or wild -9 2763 6.4 Missing
Not applicable -8 38902 89.9 Missing
Valid cases 1607 Missing cases 41665
Index Terms Children
Fertility

bwtkn Birth weight known
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
Yes, in lbs oz 1 3443 8.0 98.7
Yes, in kilos 2 37 .1 1.1
No, don’t know 8 10 .0 .3
Missing -9 2766 6.4 Missing
Not applicable -8 37006 85.5 Missing
Refused -2 6 .0 Missing
Don’t know -1 4 .0 Missing
Valid cases 3490 Missing cases 39782
Index Terms Children
Fertility

bwtlb Birth weight: Pounds
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
1 3 .0 .1
2 12 .0 .4
3 26 .1 .8
4 70 .2 2.1
5 223 .5 6.6
6 710 1.6 20.9
7 1197 2.8 35.2
8 820 1.9 24.1
9 288 .7 8.5
10 40 .1 1.2
11 9 .0 .3
15 1 .0 .0
Missing -9 2806 6.5 Missing
Not applicable -8 37063 85.7 Missing
Don’t know -1 4 .0 Missing
Valid cases 3399 Missing cases 39873
Index Terms Children
Fertility

bwtoz Birth weight: Ounces
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
0 181 .4 5.4
1 246 .6 7.4
2 234 .5 7.0
3 198 .5 5.9
4 258 .6 7.7
5 188 .4 5.6
6 231 .5 6.9
7 216 .5 6.5
8 216 .5 6.5
9 190 .4 5.7
10 198 .5 5.9
11 190 .4 5.7
12 223 .5 6.7
13 228 .5 6.8
14 185 .4 5.5
15 161 .4 4.8
Missing -9 2862 6.6 Missing
Not applicable -8 37063 85.7 Missing
Don’t know -1 4 .0 Missing
Valid cases 3343 Missing cases 39929
Index Terms Children
Fertility

bwtgm Birth weight: Grammes
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
3075.20 1104.93 840 6000
Value Label Value Frequency % Valid %
Weight given 1 35 .1 100.0
Missing -9 2769 6.4 Missing
Not applicable -8 40468 93.5 Missing
Valid cases 35 Missing cases 43237
Index Terms Children
Fertility

bwtg5 Birth weight: more than 5.5lbs
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
More 1 21 .0 95.5
Less 2 1 .0 4.5
Missing -9 2804 6.5 Missing
Not applicable -8 40440 93.5 Missing
Refused -2 5 .0 Missing
Don’t know -1 1 .0 Missing
Valid cases 22 Missing cases 43250
Index Terms Children
Fertility

paseg Socio economic group: father’s job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 689 1.59 Missing
inapplicable -8 19097 44.13 Missing
refused -2 20 0.05 Missing
don’t know -1 1 0.00 Missing
Employers,large 1 8 0.02 0.03
Managers,large 2 1921 4.44 8.19
Employers,small 3 1358 3.14 5.79
Managers,small 4 583 1.35 2.48
Professional Self-employed 5 308 0.71 1.31
Professional employees 6 954 2.20 4.07
Int. non-manual,workers 7 1062 2.45 4.53
Int. non-man,foreman 8 494 1.14 2.11
Junior non-manual 9 1279 2.96 5.45
Personal service wrkrs 10 148 0.34 0.63
Foreman manual 11 2296 5.31 9.78
Skilled manual wkrs 12 5435 12.56 23.16
Semi-skilled manual wkrs 13 2651 6.13 11.3
Unskilled manual wkrs 14 1264 2.92 5.39
Own account wkrs 15 1633 3.77 6.96
Farmers – employers,managers 16 713 1.65 3.04
Farmers – own account 17 384 0.89 1.64
Agricultural workers 18 625 1.44 2.66
Members of armed forces 19 349 0.81 1.49
Total 43272 100.00
Valid cases 23465 Missing cases 19807
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

pagold Goldthorpe Social Class: father’s job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 663 1.53 Missing
inapplicable -8 22494 51.98 Missing
Service class,higher grade 1 2955 6.83 14.69
Service class,lower grade 2 2009 4.64 9.99
Routine non-manual employees 3 771 1.78 3.83
Personal service workers 4 88 0.20 0.44
Sml props w employees 5 1090 2.52 5.42
Sml props w/o employees 6 1353 3.13 6.73
Farmers,Smallholders 7 728 1.68 3.62
Foreman,Technicians 8 2703 6.25 13.44
Skilled manual workers 9 3410 7.88 16.95
Semi,unskilled manual workers 10 4551 10.52 22.62
Agricultural workers 11 457 1.06 2.27
Total 43272 100.00
Valid cases 20115 Missing cases 23157
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

pargsc RG Social Class: father’s job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 689 1.59 Missing
inapplicable -8 19097 44.13 Missing
refused -2 20 0.05 Missing
don’t know -1 1 0.00 Missing
Professional occ 1 1280 2.96 5.45
technical occ 2 5582 12.90 23.79
Skilled non-manual 3 1982 4.58 8.45
Skilled manual 4 9420 21.77 40.14
Partly skilled occ 5 3500 8.09 14.92
Unskilled occ 6 1352 3.12 5.76
Armed forces 7 349 0.81 1.49
Total 43272 100.00
Valid cases 23465 Missing cases 19807
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

paisco International SOC : father’s job
Record Type XWAVEDAT
Valid cases 43272 Missing cases 0
Social Classification
Socio-demographic Characteristics

pacssm Cambridge Scale males : father’s job
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
28.78 18.99 0.56 90.32
Value Label Value Frequency % Valid %
missing or wild -9 663 1.53 Missing
inapplicable -8 22494 51.98 Missing
[Value >= 0] 20115 46.49 100.0
Total 43272 100.00
Valid cases 20115 Missing cases 23157
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

pacssf Cambridge Scale females : father’s job
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
29.13 19.69 0.55 98.85
Value Label Value Frequency % Valid %
missing or wild -9 663 1.53 Missing
inapplicable -8 22494 51.98 Missing
[Value >= 0] 20115 46.49 100.0
Total 43272 100.00
Valid cases 20115 Missing cases 23157
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

pahgs Hope – Goldthorpe Scale : father’s job
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
45.35 15.01 17.52 82.05
Value Label Value Frequency % Valid %
missing or wild -9 664 1.53 Missing
inapplicable -8 22494 51.98 Missing
[Value >= 0] 20114 46.48 100.0
Total 43272 100.00
Valid cases 20114 Missing cases 23158
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

pasec Socio-Economic Class: father’s job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 276 0.64 Missing
inapplicable -8 19274 44.54 Missing
refused -2 20 0.05 Missing
Employers large org 10 11 0.03 0.05
Higher managerial 20 320 0.74 1.35
Higher prof tradn’l 31 914 2.11 3.86
Higher prof new emp 32 130 0.30 0.55
High prof trad s.emp 33 263 0.61 1.11
High prof new s.emp 34 23 0.05 0.1
Lower Prof trad emps 41 1141 2.64 4.81
Lower Prof new emps 42 219 0.51 0.92
Lwr Prof trad s.emp 43 110 0.25 0.46
Lower Prof new s.emp 44 66 0.15 0.28
Lower manag occupns 50 1772 4.10 7.48
Hgher supervis occup 60 591 1.37 2.49
admin 71 453 1.05 1.91
serv 72 671 1.55 2.83
aux 73 113 0.26 0.48
Intermed engineering 74 125 0.29 0.53
Emp,small (non-prof) 81 1154 2.67 4.87
Emp,small (agricult) 82 629 1.45 2.65
Own acct wkrs(n.pro) 91 1842 4.26 7.77
Own acct wkrs(agric) 92 459 1.06 1.94
Lwr supervis occups 100 2398 5.54 10.12
Lwr technical craft 111 1542 3.56 6.51
Lwr tech process op 112 592 1.37 2.5
Semi-routine sales 121 119 0.28 0.5
Semi-routine service 122 510 1.18 2.15
Semi-routine tech 123 789 1.82 3.33
Semi-routine op 124 930 2.15 3.92
Semi-routine agric 125 399 0.92 1.68
Semi-routine cleri 126 34 0.08 0.14
Semi-rtne childcare 127 8 0.02 0.03
serv 131 259 0.60 1.09
Routine production 132 234 0.54 0.99
Routine technical 133 3328 7.69 14.04
Routine operative 134 1462 3.38 6.17
Routine agricultrl 135 92 0.21 0.39
Total 43272 100.00
Valid cases 23702 Missing cases 19570
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

maseg Socio economic group: mother’s job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 676 1.56 Missing
inapplicable -8 28872 66.72 Missing
refused -2 31 0.07 Missing
Managers,large 2 532 1.23 3.89
Employers,small 3 361 0.83 2.64
Managers,small 4 264 0.61 1.93
Professional Self-employed 5 31 0.07 0.23
Professional employees 6 114 0.26 0.83
Int. non-manual,workers 7 2036 4.71 14.87
Int. non-man,foreman 8 505 1.17 3.69
Junior non-manual 9 3294 7.61 24.06
Personal service wrkrs 10 1774 4.10 12.96
Foreman manual 11 261 0.60 1.91
Skilled manual wkrs 12 467 1.08 3.41
Semi-skilled manual wkrs 13 1467 3.39 10.71
Unskilled manual wkrs 14 1715 3.96 12.52
Own account wkrs 15 538 1.24 3.93
Farmers – employers,managers 16 46 0.11 0.34
Farmers – own account 17 25 0.06 0.18
Agricultural workers 18 262 0.61 1.91
Members of armed forces 19 1 0.00 0.01
Total 43272 100.00
Valid cases 13693 Missing cases 29579
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

magold Goldthorpe Social Class: mother’s job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 669 1.55 Missing
inapplicable -8 30385 70.22 Missing
refused -2 31 0.07 Missing
Service class,higher grade 1 632 1.46 5.19
Service class,lower grade 2 2121 4.90 17.4
Routine non-manual employees 3 1997 4.61 16.39
Personal service workers 4 1876 4.34 15.39
Sml props w employees 5 285 0.66 2.34
Sml props w/o employees 6 488 1.13 4.0
Farmers,Smallholders 7 132 0.31 1.08
Foreman,Technicians 8 555 1.28 4.55
Skilled manual workers 9 621 1.44 5.1
Semi,unskilled manual workers 10 3316 7.66 27.21
Agricultural workers 11 164 0.38 1.35
Total 43272 100.00
Valid cases 12187 Missing cases 31085
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

margsc RG Social Class: mother’s job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 676 1.56 Missing
inapplicable -8 28872 66.72 Missing
refused -2 31 0.07 Missing
Professional occ 1 145 0.34 1.06
technical occ 2 3398 7.85 24.82
Skilled non-manual 3 3844 8.88 28.07
Skilled manual 4 1545 3.57 11.28
Partly skilled occ 5 2974 6.87 21.72
Unskilled occ 6 1786 4.13 13.04
Armed forces 7 1 0.00 0.01
Total 43272 100.00
Valid cases 13693 Missing cases 29579
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

maisco International SOC : mother’s job
Record Type XWAVEDAT
Valid cases 43272 Missing cases 0
Social Classification
Socio-demographic Characteristics

macssm Cambridge Scale males : mother’s job
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
31.66 16.83 0.56 85.25
Value Label Value Frequency % Valid %
missing or wild -9 669 1.55 Missing
inapplicable -8 30385 70.22 Missing
refused -2 31 0.07 Missing
[Value >= 0] 12187 28.16 100.0
Total 43272 100.00
Valid cases 12187 Missing cases 31085
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

macssf Cambridge Scale females : mother’s job
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
32.16 17.75 0.55 98.85
Value Label Value Frequency % Valid %
missing or wild -9 669 1.55 Missing
inapplicable -8 30385 70.22 Missing
refused -2 31 0.07 Missing
[Value >= 0] 12187 28.16 100.0
Total 43272 100.00
Valid cases 12187 Missing cases 31085
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

mahgs Hope – Goldthorpe Scale : mother’s job
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
40.37 15.71 0 82.05
Value Label Value Frequency % Valid %
missing or wild -9 669 1.55 Missing
inapplicable -8 30385 70.22 Missing
refused -2 31 0.07 Missing
[Value >= 0] 12187 28.16 100.0
Total 43272 100.00
Valid cases 12187 Missing cases 31085
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

masec Socio-Economic Class: mother’s job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 175 0.40 Missing
inapplicable -8 29069 67.18 Missing
refused -2 31 0.07 Missing
Higher managerial 20 49 0.11 0.35
Higher prof tradn’l 31 121 0.28 0.86
Higher prof new emp 32 29 0.07 0.21
High prof trad s.emp 33 22 0.05 0.16
High prof new s.emp 34 1 0.00 0.01
Lower Prof trad emps 41 1840 4.25 13.15
Lower Prof new emps 42 44 0.10 0.31
Lwr Prof trad s.emp 43 71 0.16 0.51
Lower Prof new s.emp 44 9 0.02 0.06
Lower manag occupns 50 515 1.19 3.68
Hgher supervis occup 60 329 0.76 2.35
admin 71 1373 3.17 9.81
serv 72 541 1.25 3.87
aux 73 288 0.67 2.06
Intermed engineering 74 2 0.00 0.01
Emp,small (non-prof) 81 595 1.38 4.25
Emp,small (agricult) 82 99 0.23 0.71
Own acct wkrs(n.pro) 91 465 1.07 3.32
Own acct wkrs(agric) 92 63 0.15 0.45
Lwr supervis occups 100 708 1.64 5.06
Lwr technical craft 111 78 0.18 0.56
Lwr tech process op 112 74 0.17 0.53
Semi-routine sales 121 1145 2.65 8.18
Semi-routine service 122 1109 2.56 7.92
Semi-routine tech 123 87 0.20 0.62
Semi-routine op 124 323 0.75 2.31
Semi-routine agric 125 126 0.29 0.9
Semi-routine cleri 126 236 0.55 1.69
Semi-rtne childcare 127 207 0.48 1.48
serv 131 819 1.89 5.85
Routine production 132 646 1.49 4.62
Routine technical 133 272 0.63 1.94
Routine operative 134 1671 3.86 11.94
Routine agricultrl 135 40 0.09 0.29
Total 43272 100.00
Valid cases 13997 Missing cases 29275
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

j1seg Socio economic group: first job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 463 1.07 Missing
inapplicable -8 20541 47.47 Missing
refused -2 11 0.03 Missing
Employers,large 1 1 0.00 0.0
Managers,large 2 213 0.49 0.96
Employers,small 3 45 0.10 0.2
Managers,small 4 243 0.56 1.09
Professional Self-em 5 26 0.06 0.12
Professional employe 6 592 1.37 2.66
Int. non-manual,work 7 1956 4.52 8.79
Int. non-man,foreman 8 214 0.49 0.96
Junior non-manual 9 7373 17.04 33.13
Personal service wrk 10 1946 4.50 8.74
Foreman manual 11 148 0.34 0.66
Skilled manual wkrs 12 3638 8.41 16.35
Semi-skilled manual 13 3116 7.20 14.0
Unskilled manual wkr 14 1600 3.70 7.19
Own account wkrs 15 139 0.32 0.62
Farmers – employers 16 43 0.10 0.19
Farmers – own accoun 17 74 0.17 0.33
Agricultural workers 18 692 1.60 3.11
Members of armed for 19 198 0.46 0.89
Total 43272 100.00
Valid cases 22257 Missing cases 21015
Index Terms Employment: Industrial and Occupational Classification
Employment History: Labour Force Status Spells
Social Classification
Note

See note for J1SOC.

j1gold Goldthorpe Social Class: first job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 456 1.05 Missing
inapplicable -8 24161 55.84 Missing
refused -2 11 0.03 Missing
Service class,higher 1 742 1.71 3.98
Service class,lower 2 1810 4.18 9.71
Routine non-manual e 3 3892 8.99 20.88
Personal service wor 4 2686 6.21 14.41
Sml props w employee 5 28 0.06 0.15
Sml props w/o employ 6 116 0.27 0.62
Farmers,Smallholders 7 86 0.20 0.46
Foreman,Technicians 8 557 1.29 2.99
Skilled manual worke 9 3262 7.54 17.5
Semi,unskilled manua 10 4934 11.40 26.46
Agricultural workers 11 531 1.23 2.85
Total 43272 100.00
Valid cases 18644 Missing cases 24628
Index Terms Employment: Industrial and Occupational Classification
Employment History: Labour Force Status Spells
Social Classification
Note

See note for J1SOC.

j1rgsc RG Social Class: first job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 463 1.07 Missing
inapplicable -8 20541 47.47 Missing
refused -2 11 0.03 Missing
Professional occ 1 620 1.43 2.79
technic 2 2561 5.92 11.51
Skilled non-manual 3 7401 17.10 33.25
Skilled manual 4 4747 10.97 21.33
Partly skilled occ 5 5101 11.79 22.92
Unskilled occ 6 1629 3.76 7.32
Armed forces 7 198 0.46 0.89
Total 43272 100.00
Valid cases 22257 Missing cases 21015
Index Terms Employment: Industrial and Occupational Classification
Employment History: Labour Force Status Spells
Social Classification
Note

See note for J1SOC.

j1isco International SOC : first job
Record Type XWAVEDAT
Valid cases 43272 Missing cases 0
Employment History: Labour Force Status Spells
Social Classification
Note

See note for J1SOC.

j1cssm Cambridge Scale males : first job
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
29.11 15.20 0.56 85.25
Value Label Value Frequency % Valid %
missing or wild -9 456 1.05 Missing
inapplicable -8 24161 55.84 Missing
refused -2 11 0.03 Missing
[Value >= 0] 18644 43.09 100.0
Total 43272 100.00
Valid cases 18644 Missing cases 24628
Index Terms Employment: Industrial and Occupational Classification
Employment History: Labour Force Status Spells
Social Classification
Note

See note for J1SOC.

j1cssf Cambridge Scale females : first job
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
29.60 16.10 0.55 98.85
Value Label Value Frequency % Valid %
missing or wild -9 456 1.05 Missing
inapplicable -8 24161 55.84 Missing
refused -2 11 0.03 Missing
[Value >= 0] 18644 43.09 100.0
Total 43272 100.00
Valid cases 18644 Missing cases 24628
Index Terms Employment: Industrial and Occupational Classification
Employment History: Labour Force Status Spells
Social Classification
Note

See note for J1SOC.

j1hgs Hope – Goldthorpe Scale : first job
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
39.17 13.04 0 82.05
Value Label Value Frequency % Valid %
missing or wild -9 457 1.06 Missing
inapplicable -8 24161 55.84 Missing
refused -2 11 0.03 Missing
[Value >= 0] 18643 43.08 100.0
Total 43272 100.00
Valid cases 18643 Missing cases 24629
Index Terms Employment: Industrial and Occupational Classification
Employment History: Labour Force Status Spells
Social Classification
Note

See note for J1SOC.

j1sec Socio-Economic Class: first job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 106 0.24 Missing
inapplicable -8 20649 47.72 Missing
refused -2 11 0.03 Missing
Employers large org 10 1 0.00 0.0
Higher managerial 20 46 0.11 0.2
Higher prof tradn’l 31 573 1.32 2.55
Higher prof new emp 32 133 0.31 0.59
High prof trad s.emp 33 23 0.05 0.1
High prof new s.emp 34 5 0.01 0.02
Lower Prof trad emps 41 1591 3.68 7.07
Lower Prof new emps 42 83 0.19 0.37
Lwr Prof trad s.emp 43 30 0.07 0.13
Lower Prof new s.emp 44 4 0.01 0.02
Lower manag occupns 50 366 0.85 1.63
Hgher supervis occup 60 299 0.69 1.33
admin 71 2477 5.72 11.01
serv 72 1815 4.19 8.06
aux 73 372 0.86 1.65
Intermed engineering 74 74 0.17 0.33
Emp,small (non-prof) 81 51 0.12 0.23
Emp,small (agricult) 82 13 0.03 0.06
Own acct wkrs(n.pro) 91 167 0.39 0.74
Own acct wkrs(agric) 92 109 0.25 0.48
Lwr supervis occups 100 541 1.25 2.4
Lwr technical craft 111 1624 3.75 7.22
Lwr tech process op 112 137 0.32 0.61
Semi-routine sales 121 2550 5.89 11.33
Semi-routine service 122 1217 2.81 5.41
Semi-routine tech 123 437 1.01 1.94
Semi-routine op 124 797 1.84 3.54
Semi-routine agric 125 520 1.20 2.31
Semi-routine cleri 126 387 0.89 1.72
Semi-rtne childcare 127 63 0.15 0.28
serv 131 1516 3.50 6.74
Routine production 132 1251 2.89 5.56
Routine technical 133 1548 3.58 6.88
Routine operative 134 1589 3.67 7.06
Routine agricultrl 135 97 0.22 0.43
Total 43272 100.00
Valid cases 22506 Missing cases 20766
Index Terms Employment: Industrial and Occupational Classification
Employment History: Labour Force Status Spells
Social Classification
Note

See note for J1SOC.

firstint Wave first full interview in BHPS
Record Type XWAVEDAT
Valid cases 43272 Missing cases 0

lastint Wave last full interview in BHPS
Record Type XWAVEDAT
Valid cases 43272 Missing cases 0

hhorig_ukhls Sample Origin: UKHLS format
Record Type XWAVEDAT
Valid cases 20564 Missing cases 22708

issw2_ukhls Whether issued to UKHLS wave 2
Record Type XWAVEDAT
Valid cases 20564 Missing cases 22708

fiow2_ukhls Final interview outcome UKHLS wave 2
Record Type XWAVEDAT
Valid cases 20533 Missing cases 22739

wven_ukhls Wave first enumerated in UKHLS
Record Type XWAVEDAT
Valid cases 20564 Missing cases 22708

j1iscon International SOC (num): first job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 457 1.06 Missing
inapplicable -8 24065 55.61 Missing
refused -2 11 0.03 Missing
Senior government officials 1120 2 0.00 0.01
Senior officials of humanitarian and other special-interest organisations 1143 2 0.00 0.01
Production and operations department managers in agriculture, hunting, forestry and fishing 1221 1 0.00 0.01
Production and operations department managers in manufacturing 1222 21 0.05 0.11
Production and operations department managers in construction 1223 12 0.03 0.06
Production and operations department managers in wholesale and retail trade 1224 12 0.03 0.06
Production and operations department managers in restaurants and hotels 1225 9 0.02 0.05
Production and operations department managers in transport, storage and communications 1226 7 0.02 0.04
Production and operations department managers in business services 1227 4 0.01 0.02
Production and operations department managers not elsewhere classified 1229 25 0.06 0.13
Finance and administration department managers 1231 32 0.07 0.17
Personnel and industrial relations department managers 1232 9 0.02 0.05
Sales and marketing department managers 1233 17 0.04 0.09
Advertising and public relations department managers 1234 7 0.02 0.04
Supply and distribution department managers 1235 6 0.01 0.03
Computing services department managers 1236 9 0.02 0.05
Research and development department managers 1237 1 0.00 0.01
General managers in manufacturing 1312 10 0.02 0.05
General managers in construction 1313 31 0.07 0.17
General managers in wholesale and retail trade 1314 95 0.22 0.51
General managers of restaurants and hotels 1315 45 0.10 0.24
General managers in transport, storage and communications 1316 1 0.00 0.01
General managers in personal care, cleaning and related services 1318 1 0.00 0.01
General managers not elsewhere classified 1319 8 0.02 0.04
Physicists and astronomers 2111 1 0.00 0.01
Meteorologists 2112 4 0.01 0.02
Chemists 2113 21 0.05 0.11
Geologists and geophysicists 2114 3 0.01 0.02
Mathematicians and related professionals 2121 2 0.00 0.01
Statisticians 2122 3 0.01 0.02
Computer systems designers and analysts 2131 33 0.08 0.18
Computer programmers 2132 63 0.15 0.34
Computing professionals not elsewhere classified 2139 3 0.01 0.02
Architects, town and traffic planners 2141 22 0.05 0.12
Civil engineers 2142 26 0.06 0.14
Electrical engineers 2143 7 0.02 0.04
Electronics and telecommunications engineers 2144 15 0.03 0.08
Mechanical engineers 2145 26 0.06 0.14
Chemical engineers 2146 7 0.02 0.04
Mining engineers, metallurgists and related professionals 2147 10 0.02 0.05
Cartographers and surveyors 2148 31 0.07 0.17
Architects, engineers and related professionals not elsewhere classified 2149 52 0.12 0.28
Biologists, botanists, zoologists and related professionals 2211 7 0.02 0.04
Pharmacologists, pathologists and related professionals 2212 10 0.02 0.05
Agronomists and related professionals 2213 2 0.00 0.01
Medical doctors 2221 57 0.13 0.3
Dentists 2222 18 0.04 0.1
Veterinarians 2223 6 0.01 0.03
Pharmacists 2224 15 0.03 0.08
College, university and higher education teaching professionals 2310 50 0.12 0.27
Secondary education teaching professionals 2320 197 0.46 1.05
Primary education teaching professionals 2331 143 0.33 0.76
Pre-primary education teaching professionals 2332 15 0.03 0.08
Special education teaching professionals 2340 6 0.01 0.03
Other teaching professionals not elsewhere classified 2359 38 0.09 0.2
Accountants 2411 56 0.13 0.3
Personnel and careers professionals 2412 17 0.04 0.09
Business professionals not elsewhere classified 2419 7 0.02 0.04
Lawyers 2421 42 0.10 0.22
Legal professionals not elsewhere classified 2429 2 0.00 0.01
Librarians and related information professionals 2432 3 0.01 0.02
Economists 2441 4 0.01 0.02
Sociologists, anthropologists and related professionals 2442 1 0.00 0.01
Philosophers, historians and political scientists 2443 3 0.01 0.02
Philologists, translators and interpreters 2444 5 0.01 0.03
Psychologists 2445 3 0.01 0.02
Social work professionals 2446 27 0.06 0.14
Authors, journalists and other writers 2451 42 0.10 0.22
Sculptors, painters and related artists 2452 27 0.06 0.14
Composers, musicians and singers 2453 12 0.03 0.06
Choreographers and dancers 2454 3 0.01 0.02
Film, stage and related actors and directors 2455 8 0.02 0.04
Religious professionals 2460 13 0.03 0.07
Chemical and physical science technicians 3111 87 0.20 0.46
Civil engineering technicians 3112 33 0.08 0.18
Electronics and telecommunications engineering technicians 3114 6 0.01 0.03
Mechanical engineering technicians 3115 6 0.01 0.03
Mining and metallurgical technicians 3117 2 0.00 0.01
Draughtspersons 3118 72 0.17 0.38
Physical and engineering science technicians not elsewhere classified 3119 14 0.03 0.07
Computer assistants 3121 1 0.00 0.01
Computer equipment operators 3122 54 0.12 0.29
Photographers and image and sound recording equipment operators 3131 31 0.07 0.17
Broadcasting and telecommunications equipment operators 3132 25 0.06 0.13
Medical equipment operators 3133 12 0.03 0.06
Ships’ engineers 3141 1 0.00 0.01
Ships’ deck officers and pilots 3142 13 0.03 0.07
Aircraft pilots and related associate professionals 3143 1 0.00 0.01
Air traffic controllers 3144 6 0.01 0.03
Building and fire inspectors 3151 8 0.02 0.04
Life science technicians 3211 23 0.05 0.12
Farming and forestry advisers 3213 1 0.00 0.01
Sanitarians 3222 4 0.01 0.02
Dieticians and nutritionists 3223 4 0.01 0.02
Optometrists and opticians 3224 7 0.02 0.04
Dental assistants 3225 4 0.01 0.02
Physiotherapists and related associate professionals 3226 19 0.04 0.1
Veterinary assistants 3227 18 0.04 0.1
Pharmaceutical assistants 3228 12 0.03 0.06
Modern health associate professionals (except nursing) not elsewhere classified 3229 15 0.03 0.08
Nursing associate professionals 3231 273 0.63 1.46
Midwifery associate professionals 3232 5 0.01 0.03
Other teaching associate professionals 3340 2 0.00 0.01
Securities and finance dealers and brokers 3411 7 0.02 0.04
Insurance representatives 3412 23 0.05 0.12
Estate agents 3413 12 0.03 0.06
Travel consultants and organisers 3414 2 0.00 0.01
Technical and commercial sales representatives 3415 42 0.10 0.22
Buyers 3416 14 0.03 0.07
Appraisers, valuers and auctioneers 3417 16 0.04 0.09
Finance and sales associate professionals not elsewhere classified 3419 21 0.05 0.11
Trade brokers 3421 1 0.00 0.01
Clearing and forwarding agents 3422 1 0.00 0.01
Employment agents and labour contractors 3423 9 0.02 0.05
Business services agents and trade brokers not elsewhere classified 3429 22 0.05 0.12
Administrative secretaries and related associate professionals 3431 11 0.03 0.06
Legal and related business associate professionals 3432 158 0.37 0.84
Bookkeepers 3433 22 0.05 0.12
Statistical, mathematical and related associate professionals 3434 1 0.00 0.01
Administrative associate professionals not elsewhere classified 3439 6 0.01 0.03
Customs and border inspectors 3441 3 0.01 0.02
Government tax and excise officials 3442 36 0.08 0.19
Government social benefits officials 3443 18 0.04 0.1
Customs, tax and related government associate professionals not elsewhere classified 3449 4 0.01 0.02
Police inspectors and detectives 3450 3 0.01 0.02
Social work associate professionals 3460 57 0.13 0.3
Decorators and commercial designers 3471 74 0.17 0.39
Radio, television and other announcers 3472 2 0.00 0.01
Street, night-club and related musicians, singers and dancers 3473 10 0.02 0.05
Clowns, magicians, acrobats and related associate professionals 3474 3 0.01 0.02
Athletes, sportspersons and related associate professionals 3475 51 0.12 0.27
Religious associate professionals 3480 2 0.00 0.01
Stenographers and typists 4111 252 0.58 1.34
Word-processor and related operators 4112 2 0.00 0.01
Data entry operators 4113 32 0.07 0.17
Calculating-machine operators 4114 37 0.09 0.2
Secretaries 4115 331 0.76 1.77
Accounting and bookkeeping clerks 4121 408 0.94 2.18
Statistical and finance clerks 4122 24 0.06 0.13
Stock clerks 4131 284 0.66 1.52
Production clerks 4132 47 0.11 0.25
Transport clerks 4133 5 0.01 0.03
Library and filing clerks 4141 141 0.33 0.75
Mail carriers and sorting clerks 4142 23 0.05 0.12
Coding, proof-reading and related clerks 4143 6 0.01 0.03
Other office clerks 4190 1551 3.58 8.28
Cashiers and ticket clerks 4211 165 0.38 0.88
Tellers and other counter clerks 4212 303 0.70 1.62
Bookmakers and croupiers 4213 8 0.02 0.04
Debt-collectors and related workers 4215 5 0.01 0.03
Travel agency and related clerks 4221 42 0.10 0.22
Receptionists and information clerks 4222 199 0.46 1.06
Telephone switchboard operators 4223 65 0.15 0.35
Travel attendants and travel stewards 5111 13 0.03 0.07
Transport conductors 5112 6 0.01 0.03
Travel guides 5113 3 0.01 0.02
Housekeepers and related workers 5121 18 0.04 0.1
Cooks 5122 198 0.46 1.06
Waiters, waitresses and bartenders 5123 691 1.60 3.69
Child-care workers 5131 341 0.79 1.82
Institution-based personal care workers 5132 231 0.53 1.23
Home-based personal care workers 5133 8 0.02 0.04
Hairdressers, barbers, beauticians and related workers 5141 341 0.79 1.82
Companions and valets 5142 5 0.01 0.03
Undertakers and embalmers 5143 2 0.00 0.01
Other personal services workers not elsewhere classified 5149 18 0.04 0.1
Fire-fighters 5161 1 0.00 0.01
Police officers 5162 28 0.06 0.15
Protective services workers not elsewhere classified 5169 14 0.03 0.07
Fashion and other models 5210 46 0.11 0.25
Shop salespersons and demonstrators 5220 2072 4.79 11.06
Stall and market salespersons 5230 8 0.02 0.04
Tree and shrub crop growers 6112 2 0.00 0.01
Gardeners, horticultural and nursery growers 6113 131 0.30 0.7
Dairy and livestock producers 6121 42 0.10 0.22
Poultry producers 6122 9 0.02 0.05
Apiarists and sericulturists 6123 1 0.00 0.01
Market-oriented animal producers and related workers not elsewhere classified 6129 49 0.11 0.26
Market-oriented crop and animal producers 6130 1 0.00 0.01
Forestry workers and loggers 6141 23 0.05 0.12
Aquatic-life cultivation workers 6151 2 0.00 0.01
Inland and coastal waters fishery/ workers 6152 1 0.00 0.01
Deep-sea fishery workers 6153 15 0.03 0.08
Hunters and trappers 6154 1 0.00 0.01
Miners and quarry workers 7111 35 0.08 0.19
Shotfirers and blasters 7112 1 0.00 0.01
Stone splitters, cutters and carvers 7113 12 0.03 0.06
Builders, traditional materials 7121 1 0.00 0.01
Bricklayers and stonemasons 7122 75 0.17 0.4
Carpenters and joiners 7124 212 0.49 1.13
Building frame and related trades workers not elsewhere classified 7129 43 0.10 0.23
Roofers 7131 28 0.06 0.15
Floor layers and tile setters 7132 14 0.03 0.07
Plasterers 7133 35 0.08 0.19
Insulation workers 7134 1 0.00 0.01
Glaziers 7135 8 0.02 0.04
Plumbers and pipe fitters 7136 104 0.24 0.55
Building and related electricians 7137 212 0.49 1.13
Painters and related workers 7141 120 0.28 0.64
Varnishers and related painters 7142 5 0.01 0.03
Building structure cleaners 7143 2 0.00 0.01
Metal moulders and coremakers 7211 21 0.05 0.11
Welders and flamecutters 7212 85 0.20 0.45
Sheet metal workers 7213 80 0.18 0.43
Structural-metal preparers and erectors 7214 41 0.09 0.22
Riggers and cable splicers 7215 2 0.00 0.01
Blacksmiths, hammer-smiths and forging-press workers 7221 25 0.06 0.13
Tool-makers and related workers 7222 55 0.13 0.29
Machine-tool setters and setter-operators 7223 31 0.07 0.17
Metal wheel-grinders, polishers and tool sharpeners 7224 10 0.02 0.05
Motor vehicle mechanics and fitters 7231 264 0.61 1.41
Aircraft engine mechanics and fitters 7232 19 0.04 0.1
Agricultural- or industrial-machinery mechanics and fitters 7233 345 0.80 1.84
Electrical mechanics and fitters 7241 64 0.15 0.34
Electronics fitters 7242 51 0.12 0.27
Electronics mechanics and servicers 7243 20 0.05 0.11
Telegraph and telephone installers and servicers 7244 24 0.06 0.13
Electrical line installers, repairers and cable jointers 7245 7 0.02 0.04
Precision-instrument makers and repairers 7311 46 0.11 0.25
Musical instrument makers and tuners 7312 6 0.01 0.03
Jewellery and precious-metal workers 7313 11 0.03 0.06
Abrasive wheel formers, potters and related workers 7321 26 0.06 0.14
Glass makers, cutters, grinders and finishers 7322 16 0.04 0.09
Glass, ceramics and related decorative painters 7324 9 0.02 0.05
Compositors, typesetters and related workers 7341 64 0.15 0.34
Stereotypers and electrotypers 7342 5 0.01 0.03
Printing engravers and etchers 7343 7 0.02 0.04
Photographic and related workers 7344 11 0.03 0.06
Bookbinders and related workers 7345 28 0.06 0.15
Silk-screen, block and textile printers 7346 8 0.02 0.04
Butchers, fishmongers and related food preparers 7411 167 0.39 0.89
Bakers, pastry-cooks and confectionery makers 7412 84 0.19 0.45
Fruit, vegetable and related preservers 7414 7 0.02 0.04
Cabinet makers and related workers 7422 58 0.13 0.31
Woodworking machine setters and setter-operators 7423 2 0.00 0.01
Basketry weavers, brush makers and related workers 7424 1 0.00 0.01
Fibre preparers 7431 14 0.03 0.07
Weavers, knitters and related workers 7432 5 0.01 0.03
Tailors, dressmakers and hatters 7433 85 0.20 0.45
Furriers and related workers 7434 2 0.00 0.01
Textile, leather and related pattern-makers and cutters 7435 33 0.08 0.18
Sewers, embroiderers and related workers 7436 55 0.13 0.29
Upholsterers and related workers 7437 26 0.06 0.14
Pelt dressers, tanners and fellmongers 7441 4 0.01 0.02
Shoe-makers and related workers 7442 55 0.13 0.29
Mining-plant operators 8111 1 0.00 0.01
Mineral-ore- and stone-processing-plan operators 8112 1 0.00 0.01
Ore and metal furnace operators 8121 7 0.02 0.04
Metal melters, casters and rolling-mill operators 8122 15 0.03 0.08
Metal drawers and extruders 8124 3 0.01 0.02
Glass and ceramics kiln and related machine operators 8131 1 0.00 0.01
Glass, ceramics and related plant operators not elsewhere classified 8139 3 0.01 0.02
Wood-processing-plant operators 8141 11 0.03 0.06
Paper-pulp plant operators 8142 1 0.00 0.01
Papermaking-plant operators 8143 20 0.05 0.11
Crushing-, grinding- and chemical-mixing machinery operators 8151 2 0.00 0.01
Petroleum- and natural-gas-refining-plant operators 8155 3 0.01 0.02
Chemical-processing-plant operators not elsewhere classified 8159 64 0.15 0.34
Incinerator, water-treatment and related plant operators 8163 3 0.01 0.02
Machine-tool operators 8211 143 0.33 0.76
Cement and other mineral products machine operators 8212 5 0.01 0.03
Pharmaceutical- and toiletry-products machine operators 8221 4 0.01 0.02
Ammunition- and explosive-products machine operators 8222 5 0.01 0.03
Metal finishing-, plating- and coating-machine operators 8223 40 0.09 0.21
Chemical-products machine operators not elsewhere classified 8229 9 0.02 0.05
Rubber-products machine operators 8231 14 0.03 0.07
Plastic-products machine operators 8232 37 0.09 0.2
Wood-products machine operators 8240 28 0.06 0.15
Printing-machine operators 8251 41 0.09 0.22
Paper-products machine operators 8253 25 0.06 0.13
Fibre-preparing-, spinning- and winding machine operators 8261 43 0.10 0.23
Weaving- and knitting-machine operators 8262 73 0.17 0.39
Sewing machine operators 8263 304 0.70 1.62
Bleaching-, dyeing- and cleaning-machine operators 8264 72 0.17 0.38
Fur and leather-preparing-machine operators 8265 1 0.00 0.01
Shoemaking- and related machine operators 8266 15 0.03 0.08
Textile-, fur- and leather-products machine operators not elsewhere classified 8269 58 0.13 0.31
Meat- and fish-processing-machine operators 8271 10 0.02 0.05
Dairy-products machine operators 8272 9 0.02 0.05
Grain- and spice-milling-machine operators 8273 2 0.00 0.01
Baked-goods, cereal and chocolate-products machine operators 8274 74 0.17 0.39
Fruit-, vegetable- and nut-processing-machine operators 8275 1 0.00 0.01
Sugar production machine operators 8276 7 0.02 0.04
Brewers-, wine and other beverage machine operators 8278 12 0.03 0.06
Tobacco production machine operators 8279 2 0.00 0.01
Mechanical-machinery assemblers 8281 7 0.02 0.04
Electrical-equipment assemblers 8282 82 0.19 0.44
Electronic-equipment assemblers 8283 37 0.09 0.2
Metal-, rubber- and plastic-products assemblers 8284 130 0.30 0.69
Wood and related products assemblers 8285 12 0.03 0.06
Paperboard, textile and related products assemblers 8286 22 0.05 0.12
Other machine operators and assemblers 8290 9 0.02 0.05
Locomotive-engine drivers 8311 7 0.02 0.04
Railway brakers, signallers and shunters 8312 6 0.01 0.03
Car, taxi and van drivers 8322 7 0.02 0.04
Bus and tram drivers 8323 3 0.01 0.02
Heavy truck and lorry drivers 8324 54 0.12 0.29
Motorised farm and forestry plant operators 8331 13 0.03 0.07
Earth-moving- and related plant operators 8332 2 0.00 0.01
Crane, hoist and related plant operators 8333 8 0.02 0.04
Lifting-truck operators 8334 9 0.02 0.05
Ships’ deck crews and related workers 8340 34 0.08 0.18
Street food vendors 9111 4 0.01 0.02
Street vendors, non-food products 9112 1 0.00 0.01
Door-to-door and telephone salespersons 9113 118 0.27 0.63
Shoe cleaning and other street services elementary occupations 9120 2 0.00 0.01
Domestic helpers and cleaners 9131 172 0.40 0.92
Helpers and cleaners in offices, hotels and other establishments 9132 378 0.87 2.02
Hand-launderers and pressers 9133 7 0.02 0.04
Building caretakers 9141 2 0.00 0.01
Vehicle, window and related cleaners 9142 15 0.03 0.08
Messengers, package and luggage porters and deliverers 9151 278 0.64 1.48
Doorkeepers, watchpersons and related workers 9152 86 0.20 0.46
Vending-machine money collectors, meter readers and related workers 9153 2 0.00 0.01
Garbage collectors 9161 7 0.02 0.04
Sweepers and related labourers 9162 6 0.01 0.03
Farm-hands and labourers 9211 371 0.86 1.98
Forestry labourers 9212 4 0.01 0.02
Mining and quarrying labourers 9311 68 0.16 0.36
Construction and maintenance labourers: roads, dams and similar constructions 9312 24 0.06 0.13
Building construction labourers 9313 146 0.34 0.78
Assembling labourers 9321 12 0.03 0.06
Hand packers and other manufacturing labourers 9322 729 1.68 3.89
Drivers of animal-drawn vehicles and machinery 9332 4 0.01 0.02
Freight handlers 9333 117 0.27 0.62
[Value >= 0] 18739 43.31 100.0
Total 43272 100.00
Valid cases 18739 Missing cases 24533
Index Terms Employment: Industrial and Occupational Classification
Employment History: Labour Force Status Spells
Social Classification

maiscon International SOC (num): mother’s job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 670 1.55 Missing
inapplicable -8 30264 69.94 Missing
refused -2 31 0.07 Missing
Senior government officials 1120 5 0.01 0.04
1140 1 0.00 0.01
Senior officials of employers’, workers’ and other economic-interest organisations 1142 1 0.00 0.01
Senior officials of humanitarian and other special-interest organisations 1143 6 0.01 0.05
1220 15 0.03 0.12
Production and operations department managers in agriculture, hunting, forestry and fishing 1221 1 0.00 0.01
Production and operations department managers in manufacturing 1222 14 0.03 0.11
Production and operations department managers in construction 1223 1 0.00 0.01
Production and operations department managers in wholesale and retail trade 1224 34 0.08 0.28
Production and operations department managers in restaurants and hotels 1225 51 0.12 0.41
Production and operations department managers in transport, storage and communications 1226 14 0.03 0.11
Production and operations department managers in business services 1227 7 0.02 0.06
Production and operations department managers in personal care, cleaning and related services 1228 5 0.01 0.04
Production and operations department managers not elsewhere classified 1229 93 0.21 0.76
Finance and administration department managers 1231 71 0.16 0.58
Personnel and industrial relations department managers 1232 14 0.03 0.11
Sales and marketing department managers 1233 26 0.06 0.21
Advertising and public relations department managers 1234 3 0.01 0.02
Supply and distribution department managers 1235 11 0.03 0.09
Computing services department managers 1236 4 0.01 0.03
Other department managers not elsewhere classified 1239 6 0.01 0.05
1310 17 0.04 0.14
1311 47 0.11 0.38
General managers in manufacturing 1312 3 0.01 0.02
General managers in wholesale and retail trade 1314 386 0.89 3.14
General managers of restaurants and hotels 1315 194 0.45 1.58
General managers in transport, storage and communications 1316 5 0.01 0.04
General managers of business services 1317 4 0.01 0.03
General managers in personal care, cleaning and related services 1318 16 0.04 0.13
General managers not elsewhere classified 1319 18 0.04 0.15
2000 1 0.00 0.01
Geologists and geophysicists 2114 1 0.00 0.01
2130 5 0.01 0.04
Computer systems designers and analysts 2131 4 0.01 0.03
Computer programmers 2132 8 0.02 0.07
Architects, town and traffic planners 2141 3 0.01 0.02
Civil engineers 2142 2 0.00 0.02
Biologists, botanists, zoologists and related professionals 2211 2 0.00 0.02
Pharmacologists, pathologists and related professionals 2212 2 0.00 0.02
Medical doctors 2221 32 0.07 0.26
Dentists 2222 9 0.02 0.07
Veterinarians 2223 1 0.00 0.01
Pharmacists 2224 13 0.03 0.11
Nursing and midwifery professionals 2230 3 0.01 0.02
College, university and higher education teaching professionals 2310 71 0.16 0.58
Secondary education teaching professionals 2320 207 0.48 1.68
2330 43 0.10 0.35
Primary education teaching professionals 2331 235 0.54 1.91
Pre-primary education teaching professionals 2332 27 0.06 0.22
Special education teaching professionals 2340 43 0.10 0.35
Education methods specialists 2351 4 0.01 0.03
School inspectors 2352 6 0.01 0.05
Other teaching professionals not elsewhere classified 2359 33 0.08 0.27
Accountants 2411 15 0.03 0.12
Personnel and careers professionals 2412 20 0.05 0.16
Business professionals not elsewhere classified 2419 6 0.01 0.05
2420 1 0.00 0.01
Lawyers 2421 6 0.01 0.05
Archivists and curators 2431 2 0.00 0.02
Librarians and related information professionals 2432 9 0.02 0.07
Philosophers, historians and political scientists 2443 2 0.00 0.02
Philologists, translators and interpreters 2444 8 0.02 0.07
Psychologists 2445 6 0.01 0.05
Social work professionals 2446 82 0.19 0.67
Authors, journalists and other writers 2451 14 0.03 0.11
Sculptors, painters and related artists 2452 8 0.02 0.07
Composers, musicians and singers 2453 3 0.01 0.02
Film, stage and related actors and directors 2455 5 0.01 0.04
Religious professionals 2460 2 0.00 0.02
3110 12 0.03 0.1
Chemical and physical science technicians 3111 13 0.03 0.11
Civil engineering technicians 3112 1 0.00 0.01
Draughtspersons 3118 11 0.03 0.09
Physical and engineering science technicians not elsewhere classified 3119 8 0.02 0.07
3120 5 0.01 0.04
Computer equipment operators 3122 30 0.07 0.24
Photographers and image and sound recording equipment operators 3131 6 0.01 0.05
Broadcasting and telecommunications equipment operators 3132 6 0.01 0.05
Medical equipment operators 3133 10 0.02 0.08
Optical and electronic equipment operators not elsewhere classified 3139 1 0.00 0.01
Building and fire inspectors 3151 1 0.00 0.01
Safety, health and quality inspectors 3152 5 0.01 0.04
Life science technicians 3211 8 0.02 0.07
3220 1 0.00 0.01
Dieticians and nutritionists 3223 4 0.01 0.03
Optometrists and opticians 3224 3 0.01 0.02
Dental assistants 3225 2 0.00 0.02
Physiotherapists and related associate professionals 3226 31 0.07 0.25
Veterinary assistants 3227 3 0.01 0.02
Pharmaceutical assistants 3228 8 0.02 0.07
Modern health associate professionals (except nursing) not elsewhere classified 3229 31 0.07 0.25
Nursing associate professionals 3231 558 1.29 4.53
Midwifery associate professionals 3232 21 0.05 0.17
Other teaching associate professionals 3340 9 0.02 0.07
Securities and finance dealers and brokers 3411 1 0.00 0.01
Insurance representatives 3412 20 0.05 0.16
Estate agents 3413 17 0.04 0.14
Travel consultants and organisers 3414 2 0.00 0.02
Technical and commercial sales representatives 3415 38 0.09 0.31
Buyers 3416 12 0.03 0.1
Appraisers, valuers and auctioneers 3417 3 0.01 0.02
Finance and sales associate professionals not elsewhere classified 3419 11 0.03 0.09
Clearing and forwarding agents 3422 3 0.01 0.02
Employment agents and labour contractors 3423 11 0.03 0.09
Business services agents and trade brokers not elsewhere classified 3429 4 0.01 0.03
Administrative secretaries and related associate professionals 3431 26 0.06 0.21
Legal and related business associate professionals 3432 68 0.16 0.55
Bookkeepers 3433 6 0.01 0.05
Administrative associate professionals not elsewhere classified 3439 12 0.03 0.1
Customs and border inspectors 3441 1 0.00 0.01
Government tax and excise officials 3442 15 0.03 0.12
Government social benefits officials 3443 12 0.03 0.1
Customs, tax and related government associate professionals not elsewhere classified 3449 2 0.00 0.02
Social work associate professionals 3460 133 0.31 1.08
Decorators and commercial designers 3471 25 0.06 0.2
Clowns, magicians, acrobats and related associate professionals 3474 1 0.00 0.01
Athletes, sportspersons and related associate professionals 3475 17 0.04 0.14
Stenographers and typists 4111 44 0.10 0.36
Word-processor and related operators 4112 5 0.01 0.04
Data entry operators 4113 2 0.00 0.02
Calculating-machine operators 4114 12 0.03 0.1
Secretaries 4115 545 1.26 4.43
4120 34 0.08 0.28
Accounting and bookkeeping clerks 4121 261 0.60 2.12
Statistical and finance clerks 4122 9 0.02 0.07
Stock clerks 4131 70 0.16 0.57
Production clerks 4132 11 0.03 0.09
Library and filing clerks 4141 94 0.22 0.76
Mail carriers and sorting clerks 4142 28 0.06 0.23
Coding, proof-reading and related clerks 4143 1 0.00 0.01
Other office clerks 4190 564 1.30 4.58
4210 23 0.05 0.19
Cashiers and ticket clerks 4211 112 0.26 0.91
Tellers and other counter clerks 4212 98 0.23 0.8
Bookmakers and croupiers 4213 28 0.06 0.23
Debt-collectors and related workers 4215 20 0.05 0.16
4220 15 0.03 0.12
Travel agency and related clerks 4221 7 0.02 0.06
Receptionists and information clerks 4222 182 0.42 1.48
Telephone switchboard operators 4223 55 0.13 0.45
5110 1 0.00 0.01
Travel attendants and travel stewards 5111 11 0.03 0.09
Transport conductors 5112 16 0.04 0.13
Travel guides 5113 6 0.01 0.05
Housekeepers and related workers 5121 66 0.15 0.54
Cooks 5122 338 0.78 2.75
Waiters, waitresses and bartenders 5123 534 1.23 4.34
Child-care workers 5131 618 1.43 5.02
Institution-based personal care workers 5132 464 1.07 3.77
Home-based personal care workers 5133 33 0.08 0.27
Hairdressers, barbers, beauticians and related workers 5141 87 0.20 0.71
Undertakers and embalmers 5143 1 0.00 0.01
Other personal services workers not elsewhere classified 5149 10 0.02 0.08
Police officers 5162 7 0.02 0.06
Prison guards 5163 4 0.01 0.03
Protective services workers not elsewhere classified 5169 3 0.01 0.02
Fashion and other models 5210 36 0.08 0.29
Shop salespersons and demonstrators 5220 1073 2.48 8.72
Stall and market salespersons 5230 9 0.02 0.07
Tree and shrub crop growers 6112 5 0.01 0.04
Gardeners, horticultural and nursery growers 6113 26 0.06 0.21
Dairy and livestock producers 6121 21 0.05 0.17
Poultry producers 6122 5 0.01 0.04
Market-oriented animal producers and related workers not elsewhere classified 6129 8 0.02 0.07
Market-oriented crop and animal producers 6130 5 0.01 0.04
6150 1 0.00 0.01
Inland and coastal waters fishery/ workers 6152 1 0.00 0.01
Builders, traditional materials 7121 1 0.00 0.01
Carpenters and joiners 7124 3 0.01 0.02
Plumbers and pipe fitters 7136 1 0.00 0.01
Building and related electricians 7137 1 0.00 0.01
Painters and related workers 7141 3 0.01 0.02
Varnishers and related painters 7142 1 0.00 0.01
Metal moulders and coremakers 7211 1 0.00 0.01
Welders and flamecutters 7212 5 0.01 0.04
Sheet metal workers 7213 1 0.00 0.01
Structural-metal preparers and erectors 7214 1 0.00 0.01
Underwater workers 7216 1 0.00 0.01
Blacksmiths, hammer-smiths and forging-press workers 7221 1 0.00 0.01
Tool-makers and related workers 7222 2 0.00 0.02
Metal wheel-grinders, polishers and tool sharpeners 7224 6 0.01 0.05
Motor vehicle mechanics and fitters 7231 2 0.00 0.02
Aircraft engine mechanics and fitters 7232 4 0.01 0.03
Agricultural- or industrial-machinery mechanics and fitters 7233 11 0.03 0.09
Electrical mechanics and fitters 7241 3 0.01 0.02
Electronics fitters 7242 7 0.02 0.06
Precision-instrument makers and repairers 7311 13 0.03 0.11
Musical instrument makers and tuners 7312 2 0.00 0.02
Jewellery and precious-metal workers 7313 2 0.00 0.02
7320 1 0.00 0.01
Abrasive wheel formers, potters and related workers 7321 30 0.07 0.24
Glass makers, cutters, grinders and finishers 7322 2 0.00 0.02
Glass, ceramics and related decorative painters 7324 12 0.03 0.1
7330 2 0.00 0.02
Compositors, typesetters and related workers 7341 6 0.01 0.05
Photographic and related workers 7344 3 0.01 0.02
Bookbinders and related workers 7345 11 0.03 0.09
Silk-screen, block and textile printers 7346 1 0.00 0.01
Butchers, fishmongers and related food preparers 7411 41 0.09 0.33
Bakers, pastry-cooks and confectionery makers 7412 21 0.05 0.17
Fruit, vegetable and related preservers 7414 1 0.00 0.01
Cabinet makers and related workers 7422 9 0.02 0.07
Fibre preparers 7431 9 0.02 0.07
Weavers, knitters and related workers 7432 3 0.01 0.02
Tailors, dressmakers and hatters 7433 58 0.13 0.47
Furriers and related workers 7434 2 0.00 0.02
Textile, leather and related pattern-makers and cutters 7435 6 0.01 0.05
Sewers, embroiderers and related workers 7436 53 0.12 0.43
Upholsterers and related workers 7437 8 0.02 0.07
Pelt dressers, tanners and fellmongers 7441 1 0.00 0.01
Shoe-makers and related workers 7442 19 0.04 0.15
Metal melters, casters and rolling-mill operators 8122 6 0.01 0.05
Metal-heat-treating-plant operators 8123 1 0.00 0.01
Metal drawers and extruders 8124 2 0.00 0.02
Glass, ceramics and related plant operators not elsewhere classified 8139 4 0.01 0.03
Papermaking-plant operators 8143 6 0.01 0.05
8150 1 0.00 0.01
Chemical-heat-treating-plant operators 8152 1 0.00 0.01
Chemical-processing-plant operators not elsewhere classified 8159 14 0.03 0.11
8160 1 0.00 0.01
Power-production plant operators 8161 1 0.00 0.01
Incinerator, water-treatment and related plant operators 8163 1 0.00 0.01
Machine-tool operators 8211 35 0.08 0.28
8220 1 0.00 0.01
Pharmaceutical- and toiletry-products machine operators 8221 3 0.01 0.02
Ammunition- and explosive-products machine operators 8222 4 0.01 0.03
Metal finishing-, plating- and coating-machine operators 8223 6 0.01 0.05
Chemical-products machine operators not elsewhere classified 8229 4 0.01 0.03
Rubber-products machine operators 8231 14 0.03 0.11
Plastic-products machine operators 8232 22 0.05 0.18
Printing-machine operators 8251 13 0.03 0.11
Paper-products machine operators 8253 13 0.03 0.11
8260 1 0.00 0.01
Fibre-preparing-, spinning- and winding machine operators 8261 36 0.08 0.29
Weaving- and knitting-machine operators 8262 67 0.15 0.54
Sewing machine operators 8263 184 0.43 1.5
Bleaching-, dyeing- and cleaning-machine operators 8264 96 0.22 0.78
Fur and leather-preparing-machine operators 8265 1 0.00 0.01
Shoemaking- and related machine operators 8266 7 0.02 0.06
Textile-, fur- and leather-products machine operators not elsewhere classified 8269 25 0.06 0.2
8270 52 0.12 0.42
Meat- and fish-processing-machine operators 8271 3 0.01 0.02
Dairy-products machine operators 8272 8 0.02 0.07
Grain- and spice-milling-machine operators 8273 1 0.00 0.01
Baked-goods, cereal and chocolate-products machine operators 8274 27 0.06 0.22
Fruit-, vegetable- and nut-processing-machine operators 8275 2 0.00 0.02
Sugar production machine operators 8276 10 0.02 0.08
Brewers-, wine and other beverage machine operators 8278 8 0.02 0.07
Tobacco production machine operators 8279 1 0.00 0.01
Mechanical-machinery assemblers 8281 10 0.02 0.08
Electrical-equipment assemblers 8282 81 0.19 0.66
Electronic-equipment assemblers 8283 20 0.05 0.16
Metal-, rubber- and plastic-products assemblers 8284 70 0.16 0.57
Wood and related products assemblers 8285 4 0.01 0.03
Paperboard, textile and related products assemblers 8286 12 0.03 0.1
Other machine operators and assemblers 8290 6 0.01 0.05
Railway brakers, signallers and shunters 8312 1 0.00 0.01
Car, taxi and van drivers 8322 13 0.03 0.11
Bus and tram drivers 8323 2 0.00 0.02
Heavy truck and lorry drivers 8324 20 0.05 0.16
Lifting-truck operators 8334 2 0.00 0.02
Street food vendors 9111 4 0.01 0.03
Street vendors, non-food products 9112 3 0.01 0.02
Door-to-door and telephone salespersons 9113 32 0.07 0.26
Domestic helpers and cleaners 9131 309 0.71 2.51
Helpers and cleaners in offices, hotels and other establishments 9132 1114 2.57 9.05
Hand-launderers and pressers 9133 8 0.02 0.07
Building caretakers 9141 40 0.09 0.33
Vehicle, window and related cleaners 9142 6 0.01 0.05
9150 2 0.00 0.02
Messengers, package and luggage porters and deliverers 9151 22 0.05 0.18
Doorkeepers, watchpersons and related workers 9152 43 0.10 0.35
Vending-machine money collectors, meter readers and related workers 9153 6 0.01 0.05
Garbage collectors 9161 1 0.00 0.01
Sweepers and related labourers 9162 3 0.01 0.02
Farm-hands and labourers 9211 187 0.43 1.52
Mining and quarrying labourers 9311 1 0.00 0.01
9320 16 0.04 0.13
Hand packers and other manufacturing labourers 9322 353 0.82 2.87
9330 3 0.01 0.02
Freight handlers 9333 6 0.01 0.05
Total 43272 100.00
Valid cases 12307 Missing cases 30965
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

paiscon International SOC (num): father’s job
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 665 1.54 Missing
inapplicable -8 22346 51.64 Missing
refused -2 20 0.05 Missing
don’t know -1 1 0.00 Missing
Legislators 1110 12 0.03 0.06
Senior government officials 1120 34 0.08 0.17
Senior officials of humanitarian and other special-interest organisations 1143 9 0.02 0.04
Directors and chief executives 1210 8 0.02 0.04
Production and operations department managers in agriculture, hunting, forestry and fishing 1221 3 0.01 0.01
Production and operations department managers in manufacturing 1222 403 0.93 1.99
Production and operations department managers in construction 1223 65 0.15 0.32
Production and operations department managers in wholesale and retail trade 1224 84 0.19 0.42
Production and operations department managers in restaurants and hotels 1225 24 0.06 0.12
Production and operations department managers in transport, storage and communications 1226 152 0.35 0.75
Production and operations department managers in business services 1227 19 0.04 0.09
Production and operations department managers in personal care, cleaning and related services 1228 1 0.00 0.0
Production and operations department managers not elsewhere classified 1229 230 0.53 1.14
Finance and administration department managers 1231 225 0.52 1.11
Personnel and industrial relations department managers 1232 27 0.06 0.13
Sales and marketing department managers 1233 157 0.36 0.78
Advertising and public relations department managers 1234 21 0.05 0.1
Supply and distribution department managers 1235 72 0.17 0.36
Computing services department managers 1236 50 0.12 0.25
Research and development department managers 1237 4 0.01 0.02
Other department managers not elsewhere classified 1239 12 0.03 0.06
General managers in manufacturing 1312 19 0.04 0.09
General managers in construction 1313 265 0.61 1.31
General managers in wholesale and retail trade 1314 695 1.61 3.43
General managers of restaurants and hotels 1315 189 0.44 0.93
General managers in transport, storage and communications 1316 83 0.19 0.41
General managers of business services 1317 15 0.03 0.07
General managers in personal care, cleaning and related services 1318 19 0.04 0.09
General managers not elsewhere classified 1319 59 0.14 0.29
Physicists and astronomers 2111 5 0.01 0.02
Chemists 2113 28 0.06 0.14
Geologists and geophysicists 2114 11 0.03 0.05
Mathematicians and related professionals 2121 2 0.00 0.01
Statisticians 2122 2 0.00 0.01
Computer systems designers and analysts 2131 30 0.07 0.15
Computer programmers 2132 20 0.05 0.1
Computing professionals not elsewhere classified 2139 5 0.01 0.02
Architects, town and traffic planners 2141 70 0.16 0.35
Civil engineers 2142 117 0.27 0.58
Electrical engineers 2143 22 0.05 0.11
Electronics and telecommunications engineers 2144 17 0.04 0.08
Mechanical engineers 2145 126 0.29 0.62
Chemical engineers 2146 23 0.05 0.11
Mining engineers, metallurgists and related professionals 2147 22 0.05 0.11
Cartographers and surveyors 2148 54 0.12 0.27
Architects, engineers and related professionals not elsewhere classified 2149 79 0.18 0.39
Biologists, botanists, zoologists and related professionals 2211 8 0.02 0.04
Pharmacologists, pathologists and related professionals 2212 7 0.02 0.03
Agronomists and related professionals 2213 4 0.01 0.02
Medical doctors 2221 100 0.23 0.49
Dentists 2222 16 0.04 0.08
Veterinarians 2223 8 0.02 0.04
Pharmacists 2224 25 0.06 0.12
Nursing and midwifery professionals 2230 1 0.00 0.0
College, university and higher education teaching professionals 2310 142 0.33 0.7
Secondary education teaching professionals 2320 178 0.41 0.88
Primary education teaching professionals 2331 35 0.08 0.17
Special education teaching professionals 2340 1 0.00 0.0
Education methods specialists 2351 2 0.00 0.01
School inspectors 2352 6 0.01 0.03
Other teaching professionals not elsewhere classified 2359 5 0.01 0.02
Accountants 2411 110 0.25 0.54
Personnel and careers professionals 2412 12 0.03 0.06
Business professionals not elsewhere classified 2419 19 0.04 0.09
Lawyers 2421 62 0.14 0.31
Judges 2422 2 0.00 0.01
Legal professionals not elsewhere classified 2429 5 0.01 0.02
Archivists and curators 2431 5 0.01 0.02
Librarians and related information professionals 2432 4 0.01 0.02
Philosophers, historians and political scientists 2443 1 0.00 0.0
Philologists, translators and interpreters 2444 2 0.00 0.01
Psychologists 2445 3 0.01 0.01
Social work professionals 2446 23 0.05 0.11
Authors, journalists and other writers 2451 34 0.08 0.17
Sculptors, painters and related artists 2452 16 0.04 0.08
Composers, musicians and singers 2453 15 0.03 0.07
Choreographers and dancers 2454 1 0.00 0.0
Film, stage and related actors and directors 2455 4 0.01 0.02
Religious professionals 2460 84 0.19 0.42
Chemical and physical science technicians 3111 25 0.06 0.12
Civil engineering technicians 3112 28 0.06 0.14
Electrical engineering technicians 3113 2 0.00 0.01
Electronics and telecommunications engineering technicians 3114 10 0.02 0.05
Mechanical engineering technicians 3115 6 0.01 0.03
Draughtspersons 3118 77 0.18 0.38
Physical and engineering science technicians not elsewhere classified 3119 39 0.09 0.19
Computer equipment operators 3122 8 0.02 0.04
Photographers and image and sound recording equipment operators 3131 25 0.06 0.12
Broadcasting and telecommunications equipment operators 3132 10 0.02 0.05
Medical equipment operators 3133 1 0.00 0.0
Optical and electronic equipment operators not elsewhere classified 3139 1 0.00 0.0
Ships’ engineers 3141 13 0.03 0.06
Ships’ deck officers and pilots 3142 34 0.08 0.17
Aircraft pilots and related associate professionals 3143 19 0.04 0.09
Air traffic controllers 3144 7 0.02 0.03
Building and fire inspectors 3151 17 0.04 0.08
Safety, health and quality inspectors 3152 24 0.06 0.12
Life science technicians 3211 4 0.01 0.02
Farming and forestry advisers 3213 1 0.00 0.0
Medical assistants 3221 3 0.01 0.01
Sanitarians 3222 16 0.04 0.08
Optometrists and opticians 3224 5 0.01 0.02
Physiotherapists and related associate professionals 3226 4 0.01 0.02
Veterinary assistants 3227 1 0.00 0.0
Pharmaceutical assistants 3228 2 0.00 0.01
Modern health associate professionals (except nursing) not elsewhere classified 3229 7 0.02 0.03
Nursing associate professionals 3231 44 0.10 0.22
Other teaching associate professionals 3340 19 0.04 0.09
Securities and finance dealers and brokers 3411 19 0.04 0.09
Insurance representatives 3412 99 0.23 0.49
Estate agents 3413 22 0.05 0.11
Travel consultants and organisers 3414 1 0.00 0.0
Technical and commercial sales representatives 3415 258 0.60 1.27
Buyers 3416 31 0.07 0.15
Appraisers, valuers and auctioneers 3417 28 0.06 0.14
Finance and sales associate professionals not elsewhere classified 3419 24 0.06 0.12
Trade brokers 3421 3 0.01 0.01
Clearing and forwarding agents 3422 18 0.04 0.09
Employment agents and labour contractors 3423 3 0.01 0.01
Business services agents and trade brokers not elsewhere classified 3429 19 0.04 0.09
Legal and related business associate professionals 3432 35 0.08 0.17
Bookkeepers 3433 10 0.02 0.05
Administrative associate professionals not elsewhere classified 3439 27 0.06 0.13
Customs and border inspectors 3441 18 0.04 0.09
Government tax and excise officials 3442 20 0.05 0.1
Government social benefits officials 3443 8 0.02 0.04
Customs, tax and related government associate professionals not elsewhere classified 3449 7 0.02 0.03
Police inspectors and detectives 3450 28 0.06 0.14
Social work associate professionals 3460 25 0.06 0.12
Decorators and commercial designers 3471 29 0.07 0.14
Radio, television and other announcers 3472 4 0.01 0.02
Street, night-club and related musicians, singers and dancers 3473 6 0.01 0.03
Clowns, magicians, acrobats and related associate professionals 3474 1 0.00 0.0
Athletes, sportspersons and related associate professionals 3475 9 0.02 0.04
Religious associate professionals 3480 2 0.00 0.01
Data entry operators 4113 1 0.00 0.0
Secretaries 4115 9 0.02 0.04
Accounting and bookkeeping clerks 4121 143 0.33 0.71
Statistical and finance clerks 4122 3 0.01 0.01
Stock clerks 4131 271 0.63 1.34
Production clerks 4132 25 0.06 0.12
Transport clerks 4133 11 0.03 0.05
Library and filing clerks 4141 16 0.04 0.08
Mail carriers and sorting clerks 4142 165 0.38 0.82
Coding, proof-reading and related clerks 4143 3 0.01 0.01
Other office clerks 4190 300 0.69 1.48
Cashiers and ticket clerks 4211 24 0.06 0.12
Tellers and other counter clerks 4212 35 0.08 0.17
Bookmakers and croupiers 4213 8 0.02 0.04
Pawnbrokers and money-lenders 4214 2 0.00 0.01
Debt-collectors and related workers 4215 7 0.02 0.03
Travel agency and related clerks 4221 2 0.00 0.01
Receptionists and information clerks 4222 11 0.03 0.05
Telephone switchboard operators 4223 18 0.04 0.09
Travel attendants and travel stewards 5111 5 0.01 0.02
Transport conductors 5112 66 0.15 0.33
Travel guides 5113 4 0.01 0.02
Housekeepers and related workers 5121 3 0.01 0.01
Cooks 5122 70 0.16 0.35
Waiters, waitresses and bartenders 5123 39 0.09 0.19
Child-care workers 5131 6 0.01 0.03
Institution-based personal care workers 5132 45 0.10 0.22
Home-based personal care workers 5133 5 0.01 0.02
Hairdressers, barbers, beauticians and related workers 5141 23 0.05 0.11
Companions and valets 5142 2 0.00 0.01
Undertakers and embalmers 5143 12 0.03 0.06
Other personal services workers not elsewhere classified 5149 4 0.01 0.02
Fire-fighters 5161 61 0.14 0.3
Police officers 5162 283 0.65 1.4
Prison guards 5163 32 0.07 0.16
Protective services workers not elsewhere classified 5169 5 0.01 0.02
Fashion and other models 5210 5 0.01 0.02
Shop salespersons and demonstrators 5220 96 0.22 0.47
Stall and market salespersons 5230 1 0.00 0.0
Tree and shrub crop growers 6112 15 0.03 0.07
Gardeners, horticultural and nursery growers 6113 200 0.46 0.99
Dairy and livestock producers 6121 101 0.23 0.5
Poultry producers 6122 4 0.01 0.02
Market-oriented animal producers and related workers not elsewhere classified 6129 53 0.12 0.26
Market-oriented crop and animal producers 6130 38 0.09 0.19
Forestry workers and loggers 6141 51 0.12 0.25
Aquatic-life cultivation workers 6151 1 0.00 0.0
Deep-sea fishery workers 6153 63 0.15 0.31
Miners and quarry workers 7111 408 0.94 2.02
Shotfirers and blasters 7112 7 0.02 0.03
Stone splitters, cutters and carvers 7113 44 0.10 0.22
Builders, traditional materials 7121 26 0.06 0.13
Bricklayers and stonemasons 7122 205 0.47 1.01
Concrete placers, concrete finishers and related workers 7123 4 0.01 0.02
Carpenters and joiners 7124 412 0.95 2.04
Building frame and related trades workers not elsewhere classified 7129 152 0.35 0.75
Roofers 7131 69 0.16 0.34
Floor layers and tile setters 7132 26 0.06 0.13
Plasterers 7133 58 0.13 0.29
Insulation workers 7134 3 0.01 0.01
Glaziers 7135 21 0.05 0.1
Plumbers and pipe fitters 7136 257 0.59 1.27
Building and related electricians 7137 281 0.65 1.39
Painters and related workers 7141 302 0.70 1.49
Varnishers and related painters 7142 7 0.02 0.03
Building structure cleaners 7143 10 0.02 0.05
Metal moulders and coremakers 7211 58 0.13 0.29
Welders and flamecutters 7212 162 0.37 0.8
Sheet metal workers 7213 108 0.25 0.53
Structural-metal preparers and erectors 7214 152 0.35 0.75
Riggers and cable splicers 7215 17 0.04 0.08
Underwater workers 7216 3 0.01 0.01
Blacksmiths, hammer-smiths and forging-press workers 7221 62 0.14 0.31
Tool-makers and related workers 7222 93 0.21 0.46
Machine-tool setters and setter-operators 7223 110 0.25 0.54
Metal wheel-grinders, polishers and tool sharpeners 7224 37 0.09 0.18
Motor vehicle mechanics and fitters 7231 247 0.57 1.22
Aircraft engine mechanics and fitters 7232 52 0.12 0.26
Agricultural- or industrial-machinery mechanics and fitters 7233 599 1.38 2.96
Electrical mechanics and fitters 7241 143 0.33 0.71
Electronics fitters 7242 64 0.15 0.32
Electronics mechanics and servicers 7243 30 0.07 0.15
Telegraph and telephone installers and servicers 7244 83 0.19 0.41
Electrical line installers, repairers and cable jointers 7245 41 0.09 0.2
Precision-instrument makers and repairers 7311 65 0.15 0.32
Musical instrument makers and tuners 7312 4 0.01 0.02
Jewellery and precious-metal workers 7313 9 0.02 0.04
Abrasive wheel formers, potters and related workers 7321 42 0.10 0.21
Glass makers, cutters, grinders and finishers 7322 34 0.08 0.17
Glass, ceramics and related decorative painters 7324 3 0.01 0.01
Handicraft workers in wood and related materials 7331 2 0.00 0.01
Compositors, typesetters and related workers 7341 103 0.24 0.51
Stereotypers and electrotypers 7342 2 0.00 0.01
Printing engravers and etchers 7343 12 0.03 0.06
Photographic and related workers 7344 1 0.00 0.0
Bookbinders and related workers 7345 8 0.02 0.04
Silk-screen, block and textile printers 7346 8 0.02 0.04
Butchers, fishmongers and related food preparers 7411 117 0.27 0.58
Bakers, pastry-cooks and confectionery makers 7412 61 0.14 0.3
Dairy-products makers 7413 1 0.00 0.0
Fruit, vegetable and related preservers 7414 4 0.01 0.02
Cabinet makers and related workers 7422 93 0.21 0.46
Woodworking machine setters and setter-operators 7423 4 0.01 0.02
Basketry weavers, brush makers and related workers 7424 1 0.00 0.0
Fibre preparers 7431 29 0.07 0.14
Weavers, knitters and related workers 7432 1 0.00 0.0
Tailors, dressmakers and hatters 7433 35 0.08 0.17
Textile, leather and related pattern-makers and cutters 7435 4 0.01 0.02
Sewers, embroiderers and related workers 7436 1 0.00 0.0
Upholsterers and related workers 7437 28 0.06 0.14
Pelt dressers, tanners and fellmongers 7441 14 0.03 0.07
Shoe-makers and related workers 7442 45 0.10 0.22
Mining-plant operators 8111 30 0.07 0.15
Mineral-ore- and stone-processing-plan operators 8112 9 0.02 0.04
Well drillers and borers and related workers 8113 6 0.01 0.03
Ore and metal furnace operators 8121 57 0.13 0.28
Metal melters, casters and rolling-mill operators 8122 81 0.19 0.4
Metal-heat-treating-plant operators 8123 7 0.02 0.03
Metal drawers and extruders 8124 20 0.05 0.1
Glass and ceramics kiln and related machine operators 8131 25 0.06 0.12
Glass, ceramics and related plant operators not elsewhere classified 8139 12 0.03 0.06
Wood-processing-plant operators 8141 19 0.04 0.09
Paper-pulp plant operators 8142 2 0.00 0.01
Papermaking-plant operators 8143 36 0.08 0.18
Crushing-, grinding- and chemical-mixing machinery operators 8151 5 0.01 0.02
Chemical-heat-treating-plant operators 8152 2 0.00 0.01
Chemical-still and reactor operators (except petroleum and natural gas) 8154 2 0.00 0.01
Petroleum- and natural-gas-refining-plant operators 8155 17 0.04 0.08
Chemical-processing-plant operators not elsewhere classified 8159 64 0.15 0.32
Power-production plant operators 8161 37 0.09 0.18
Steam-engine and boiler operators 8162 58 0.13 0.29
Incinerator, water-treatment and related plant operators 8163 37 0.09 0.18
Machine-tool operators 8211 251 0.58 1.24
Cement and other mineral products machine operators 8212 14 0.03 0.07
Pharmaceutical- and toiletry-products machine operators 8221 2 0.00 0.01
Ammunition- and explosive-products machine operators 8222 8 0.02 0.04
Metal finishing-, plating- and coating-machine operators 8223 66 0.15 0.33
Photographic-products machine operators 8224 2 0.00 0.01
Chemical-products machine operators not elsewhere classified 8229 14 0.03 0.07
Rubber-products machine operators 8231 35 0.08 0.17
Plastic-products machine operators 8232 31 0.07 0.15
Wood-products machine operators 8240 29 0.07 0.14
Printing-machine operators 8251 36 0.08 0.18
Paper-products machine operators 8253 17 0.04 0.08
Fibre-preparing-, spinning- and winding machine operators 8261 20 0.05 0.1
Weaving- and knitting-machine operators 8262 44 0.10 0.22
Sewing machine operators 8263 8 0.02 0.04
Bleaching-, dyeing- and cleaning-machine operators 8264 26 0.06 0.13
Shoemaking- and related machine operators 8266 1 0.00 0.0
Textile-, fur- and leather-products machine operators not elsewhere classified 8269 28 0.06 0.14
Meat- and fish-processing-machine operators 8271 6 0.01 0.03
Dairy-products machine operators 8272 11 0.03 0.05
Grain- and spice-milling-machine operators 8273 9 0.02 0.04
Baked-goods, cereal and chocolate-products machine operators 8274 13 0.03 0.06
Fruit-, vegetable- and nut-processing-machine operators 8275 4 0.01 0.02
Sugar production machine operators 8276 6 0.01 0.03
Tea-, coffee-, and cocoa-processing-machine operators 8277 1 0.00 0.0
Brewers-, wine and other beverage machine operators 8278 37 0.09 0.18
Tobacco production machine operators 8279 2 0.00 0.01
Mechanical-machinery assemblers 8281 44 0.10 0.22
Electrical-equipment assemblers 8282 40 0.09 0.2
Electronic-equipment assemblers 8283 8 0.02 0.04
Metal-, rubber- and plastic-products assemblers 8284 139 0.32 0.69
Wood and related products assemblers 8285 4 0.01 0.02
Paperboard, textile and related products assemblers 8286 3 0.01 0.01
Other machine operators and assemblers 8290 9 0.02 0.04
Locomotive-engine drivers 8311 115 0.27 0.57
Railway brakers, signallers and shunters 8312 67 0.15 0.33
Car, taxi and van drivers 8322 135 0.31 0.67
Bus and tram drivers 8323 256 0.59 1.26
Heavy truck and lorry drivers 8324 804 1.86 3.97
Motorised farm and forestry plant operators 8331 15 0.03 0.07
Earth-moving- and related plant operators 8332 62 0.14 0.31
Crane, hoist and related plant operators 8333 94 0.22 0.46
Lifting-truck operators 8334 63 0.15 0.31
Ships’ deck crews and related workers 8340 76 0.18 0.38
Street food vendors 9111 25 0.06 0.12
Street vendors, non-food products 9112 7 0.02 0.03
Door-to-door and telephone salespersons 9113 115 0.27 0.57
Shoe cleaning and other street services elementary occupations 9120 7 0.02 0.03
Helpers and cleaners in offices, hotels and other establishments 9132 34 0.08 0.17
Building caretakers 9141 75 0.17 0.37
Vehicle, window and related cleaners 9142 35 0.08 0.17
Messengers, package and luggage porters and deliverers 9151 92 0.21 0.45
Doorkeepers, watchpersons and related workers 9152 60 0.14 0.3
Vending-machine money collectors, meter readers and related workers 9153 17 0.04 0.08
Garbage collectors 9161 47 0.11 0.23
Sweepers and related labourers 9162 18 0.04 0.09
Farm-hands and labourers 9211 278 0.64 1.37
Forestry labourers 9212 2 0.00 0.01
Mining and quarrying labourers 9311 490 1.13 2.42
Construction and maintenance labourers: roads, dams and similar constructions 9312 225 0.52 1.11
Building construction labourers 9313 218 0.50 1.08
Assembling labourers 9321 3 0.01 0.01
Hand packers and other manufacturing labourers 9322 589 1.36 2.91
Drivers of animal-drawn vehicles and machinery 9332 33 0.08 0.16
Freight handlers 9333 161 0.37 0.8
[Value >= 0] 20240 46.77 100.0
Total 43272 100.00
Valid cases 20240 Missing cases 23032
Index Terms Employment: Industrial and Occupational Classification
Social Classification
Socio-demographic Characteristics

masoc_cc Mother’s occupation (SOC), resp. aged 14 – condensed
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
59.27 25.94 10 99
Valid cases 12648 Missing cases 30624
Socio-demographic Characteristics

pasoc_cc Father’s occupation (SOC), resp. aged 14 – condensed
Record Type XWAVEDAT
Mean Std Dev Minimum Maximum
55.89 27.74 10 99
Valid cases 20476 Missing cases 22796
Socio-demographic Characteristics

j1soc_cc First job (SOC) after leaving school – condensed
Record Type XWAVEDAT
Valid cases 18982 Missing cases 24290
Socio-demographic Characteristics

paiscon_cc International SOC (num): father’s job – condensed
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 665 1.54 Missing
inapplicable -8 22346 51.64 Missing
refused -2 20 0.05 Missing
don’t know -1 1 0.00 Missing
10 8 0.02 0.04
Legislators and senior officials 11 307 0.71 1.52
Legislators 111 12 0.03 0.06
Senior government officials 112 34 0.08 0.17
Senior officials of special-interest organisations 114 11 0.03 0.05
Directors and chief executives 121 8 0.02 0.04
Production and operations department managers 122 1014 2.34 5.01
Other department managers 123 568 1.31 2.81
General managers 131 2097 4.85 10.36
200 4 0.01 0.02
Physicists, chemists and related professionals 211 46 0.11 0.23
Mathematicians, statisticians and related professionals 212 4 0.01 0.02
Computing professionals 213 67 0.15 0.33
Architects, engineers and related professionals 214 530 1.22 2.62
Life science professionals 221 19 0.04 0.09
Health professionals (except nursing) 222 149 0.34 0.74
Nursing and midwifery professionals 223 1 0.00 0.0
College, university and higher education teaching professionals 231 142 0.33 0.7
Secondary education teaching professionals 232 178 0.41 0.88
Primary and pre-primary education teaching professionals 233 46 0.11 0.23
Special education teaching professionals 234 1 0.00 0.0
Other teaching professionals 235 13 0.03 0.06
Business professionals 241 141 0.33 0.7
Legal professionals 242 79 0.18 0.39
Archivists, librarians and related information professionals 243 9 0.02 0.04
Social science and related professionals 244 29 0.07 0.14
Writers and creative or performing artists 245 70 0.16 0.35
Religious professionals 246 84 0.19 0.42
247 2 0.00 0.01
Physical and engineering science technicians 311 216 0.50 1.07
Computer associate professionals 312 8 0.02 0.04
Optical and electronic equipment operators 313 37 0.09 0.18
Ship and aircraft controllers and technicians 314 73 0.17 0.36
Safety and quality inspectors 315 41 0.09 0.2
Life science technicians and related associate professionals 321 7 0.02 0.03
Modern health associate professionals (except nursing) 322 40 0.09 0.2
Nursing and midwifery associate professionals 323 44 0.10 0.22
Other teaching associate professionals 334 19 0.04 0.09
Finance and sales associate professionals 341 487 1.13 2.41
Business services agents and trade brokers 342 43 0.10 0.21
Administrative associate professionals 343 72 0.17 0.36
Customs, tax and related government associate professionals 344 53 0.12 0.26
Police inspectors and detectives 345 28 0.06 0.14
Social work associate professionals 346 25 0.06 0.12
Artistic, entertainment and sports associate professionals 347 52 0.12 0.26
Religious associate professionals 348 2 0.00 0.01
Secretaries and keyboard-operating clerks 411 10 0.02 0.05
Numerical clerks 412 156 0.36 0.77
Material-recording and transport clerks 413 307 0.71 1.52
Library, mail and related clerks 414 184 0.43 0.91
Other office clerks 419 300 0.69 1.48
Cashiers, tellers and related clerks 421 81 0.19 0.4
Client information clerks 422 32 0.07 0.16
Travel attendants and related workers 511 75 0.17 0.37
Housekeeping and restaurant services workers 512 112 0.26 0.55
Personal care and related workers 513 56 0.13 0.28
Other personal services workers 514 41 0.09 0.2
Protective services workers 516 381 0.88 1.88
Fashion and other models 521 5 0.01 0.02
Shop salespersons and demonstrators 522 96 0.22 0.47
Stall and market salespersons 523 1 0.00 0.0
Market gardeners and crop growers 611 215 0.50 1.06
Market-oriented animal producers and related workers 612 158 0.37 0.78
Market-oriented crop and animal producers 613 38 0.09 0.19
Forestry and related workers 614 51 0.12 0.25
Fishery workers, hunters and trappers 615 68 0.16 0.34
Miners, shotfirers, stone cutters and carvers 711 459 1.06 2.27
Building frame and related trades workers 712 799 1.85 3.95
Building finishers and related trades workers 713 716 1.65 3.54
Painters, building structure cleaners and related trades workers 714 319 0.74 1.58
Metal moulders, welders, sheet-metal workers, structural-metal 721 500 1.16 2.47
Blacksmiths, tool-makers and related trades workers 722 302 0.70 1.49
Machinery mechanics and fitters 723 933 2.16 4.61
Electrical and electronic equipment mechanics and fitters 724 361 0.83 1.78
Precision workers in metal and related materials 731 78 0.18 0.39
Potters, glass-makers and related trades workers 732 81 0.19 0.4
Handicraft workers in wood, textile, leather and related materials 733 3 0.01 0.01
Printing and related trades workers 734 134 0.31 0.66
Food processing and related trades workers 741 183 0.42 0.9
Wood treaters, cabinet-makers and related trades workers 742 98 0.23 0.48
Textile, garment and related trades workers 743 98 0.23 0.48
Pelt, leather and shoemaking trades workers 744 59 0.14 0.29
810 2 0.00 0.01
Mining- and mineral-processing plant operators 811 45 0.10 0.22
Metal-processing-plant operators 812 170 0.39 0.84
Glass, ceramics and related plant operators 813 37 0.09 0.18
Eood-processing- and papermaking-plant operators 814 61 0.14 0.3
Chemical-processing-plant operators 815 107 0.25 0.53
Power-production and related plant operators 816 132 0.31 0.65
Metal- and mineral-products machine operators 821 265 0.61 1.31
Chemical-products machine operators 822 102 0.24 0.5
Rubber- and plastic-products machine operators 823 66 0.15 0.33
Wood-products machine operators 824 29 0.07 0.14
Printing-, binding- and paper-products machine operators 825 53 0.12 0.26
Textile-, fur- and leather-products machine operators 826 129 0.30 0.64
Food and related products machine operators 827 109 0.25 0.54
Assemblers 828 239 0.55 1.18
Other machine operators and assemblers 829 9 0.02 0.04
Locomotive-engine drivers and related workers 831 182 0.42 0.9
Motor-vehicle drivers 832 1195 2.76 5.9
Agricultural and other mobile-plant operators 833 238 0.55 1.18
Ships’ deck crews and related workers 834 76 0.18 0.38
Street vendors and related workers 911 147 0.34 0.73
Shoe cleaning and other street services elementary occupations 912 7 0.02 0.03
Domestic and related helpers, cleaners and launderers 913 34 0.08 0.17
Building caretakers, window and related cleaners 914 110 0.25 0.54
Messengers, porters, doorkeepers and related workers 915 170 0.39 0.84
Garbage collectors and related labourers 916 65 0.15 0.32
Agricultural, fishery and related labourers 921 281 0.65 1.39
Mining and construction labourers 931 933 2.16 4.61
Manufacturing labourers 932 619 1.43 3.06
Transport labourers and freight handlers 933 218 0.50 1.08
Total 43272 100.00
Valid cases 20240 Missing cases 23032
Index Terms Employment: Industrial and Occupational Classification
Socio-demographic Characteristics

maiscon_cc International SOC (num): mother’s job – condensed
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 670 1.55 Missing
inapplicable -8 30264 69.94 Missing
refused -2 31 0.07 Missing
Senior government officials 112 5 0.01 0.04
Senior officials of special-interest organisations 114 8 0.02 0.07
Production and operations department managers 122 235 0.54 1.91
Other department managers 123 135 0.31 1.1
General managers 131 690 1.59 5.61
200 1 0.00 0.01
Physicists, chemists and related professionals 211 1 0.00 0.01
Computing professionals 213 17 0.04 0.14
Architects, engineers and related professionals 214 5 0.01 0.04
Life science professionals 221 4 0.01 0.03
Health professionals (except nursing) 222 55 0.13 0.45
Nursing and midwifery professionals 223 3 0.01 0.02
College, university and higher education teaching professionals 231 71 0.16 0.58
Secondary education teaching professionals 232 207 0.48 1.68
Primary and pre-primary education teaching professionals 233 305 0.70 2.48
Special education teaching professionals 234 43 0.10 0.35
Other teaching professionals 235 43 0.10 0.35
Business professionals 241 41 0.09 0.33
Legal professionals 242 7 0.02 0.06
Archivists, librarians and related information professionals 243 11 0.03 0.09
Social science and related professionals 244 98 0.23 0.8
Writers and creative or performing artists 245 30 0.07 0.24
Religious professionals 246 2 0.00 0.02
Physical and engineering science technicians 311 45 0.10 0.37
Computer associate professionals 312 35 0.08 0.28
Optical and electronic equipment operators 313 23 0.05 0.19
Safety and quality inspectors 315 6 0.01 0.05
Life science technicians and related associate professionals 321 8 0.02 0.07
Modern health associate professionals (except nursing) 322 83 0.19 0.67
Nursing and midwifery associate professionals 323 579 1.34 4.7
Other teaching associate professionals 334 9 0.02 0.07
Finance and sales associate professionals 341 104 0.24 0.85
Business services agents and trade brokers 342 18 0.04 0.15
Administrative associate professionals 343 112 0.26 0.91
Customs, tax and related government associate professionals 344 30 0.07 0.24
Social work associate professionals 346 133 0.31 1.08
Artistic, entertainment and sports associate professionals 347 43 0.10 0.35
Secretaries and keyboard-operating clerks 411 608 1.41 4.94
Numerical clerks 412 304 0.70 2.47
Material-recording and transport clerks 413 81 0.19 0.66
Library, mail and related clerks 414 123 0.28 1.0
Other office clerks 419 564 1.30 4.58
Cashiers, tellers and related clerks 421 281 0.65 2.28
Client information clerks 422 259 0.60 2.1
Travel attendants and related workers 511 34 0.08 0.28
Housekeeping and restaurant services workers 512 938 2.17 7.62
Personal care and related workers 513 1115 2.58 9.06
Other personal services workers 514 98 0.23 0.8
Protective services workers 516 14 0.03 0.11
Fashion and other models 521 36 0.08 0.29
Shop salespersons and demonstrators 522 1073 2.48 8.72
Stall and market salespersons 523 9 0.02 0.07
Market gardeners and crop growers 611 31 0.07 0.25
Market-oriented animal producers and related workers 612 34 0.08 0.28
Market-oriented crop and animal producers 613 5 0.01 0.04
Fishery workers, hunters and trappers 615 2 0.00 0.02
Building frame and related trades workers 712 4 0.01 0.03
Building finishers and related trades workers 713 2 0.00 0.02
Painters, building structure cleaners and related trades workers 714 4 0.01 0.03
Metal moulders, welders, sheet-metal workers, structural-metal 721 9 0.02 0.07
Blacksmiths, tool-makers and related trades workers 722 9 0.02 0.07
Machinery mechanics and fitters 723 17 0.04 0.14
Electrical and electronic equipment mechanics and fitters 724 10 0.02 0.08
Precision workers in metal and related materials 731 17 0.04 0.14
Potters, glass-makers and related trades workers 732 45 0.10 0.37
Handicraft workers in wood, textile, leather and related materials 733 2 0.00 0.02
Printing and related trades workers 734 21 0.05 0.17
Food processing and related trades workers 741 63 0.15 0.51
Wood treaters, cabinet-makers and related trades workers 742 9 0.02 0.07
Textile, garment and related trades workers 743 139 0.32 1.13
Pelt, leather and shoemaking trades workers 744 20 0.05 0.16
Metal-processing-plant operators 812 9 0.02 0.07
Glass, ceramics and related plant operators 813 4 0.01 0.03
Eood-processing- and papermaking-plant operators 814 6 0.01 0.05
Chemical-processing-plant operators 815 16 0.04 0.13
Power-production and related plant operators 816 3 0.01 0.02
Metal- and mineral-products machine operators 821 35 0.08 0.28
Chemical-products machine operators 822 18 0.04 0.15
Rubber- and plastic-products machine operators 823 36 0.08 0.29
Printing-, binding- and paper-products machine operators 825 26 0.06 0.21
Textile-, fur- and leather-products machine operators 826 417 0.96 3.39
Food and related products machine operators 827 112 0.26 0.91
Assemblers 828 197 0.46 1.6
Other machine operators and assemblers 829 6 0.01 0.05
Locomotive-engine drivers and related workers 831 1 0.00 0.01
Motor-vehicle drivers 832 35 0.08 0.28
Agricultural and other mobile-plant operators 833 2 0.00 0.02
Street vendors and related workers 911 39 0.09 0.32
Domestic and related helpers, cleaners and launderers 913 1431 3.31 11.63
Building caretakers, window and related cleaners 914 46 0.11 0.37
Messengers, porters, doorkeepers and related workers 915 73 0.17 0.59
Garbage collectors and related labourers 916 4 0.01 0.03
Agricultural, fishery and related labourers 921 187 0.43 1.52
Mining and construction labourers 931 1 0.00 0.01
Manufacturing labourers 932 369 0.85 3.0
Transport labourers and freight handlers 933 9 0.02 0.07
Total 43272 100.00
Valid cases 12307 Missing cases 30965
Index Terms Employment: Industrial and Occupational Classification
Socio-demographic Characteristics

j1iscon_cc International SOC (num): first job – condensed
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 457 1.06 Missing
inapplicable -8 24065 55.61 Missing
refused -2 11 0.03 Missing
10 8 0.02 0.04
Legislators and senior officials 11 177 0.41 0.94
Senior government officials 112 2 0.00 0.01
Senior officials of special-interest organisations 114 2 0.00 0.01
Production and operations department managers 122 133 0.31 0.71
Other department managers 123 81 0.19 0.43
General managers 131 255 0.59 1.36
200 18 0.04 0.1
Physicists, chemists and related professionals 211 33 0.08 0.18
Mathematicians, statisticians and related professionals 212 5 0.01 0.03
Computing professionals 213 105 0.24 0.56
Architects, engineers and related professionals 214 196 0.45 1.05
Life science professionals 221 19 0.04 0.1
Health professionals (except nursing) 222 96 0.22 0.51
College, university and higher education teaching professionals 231 50 0.12 0.27
Secondary education teaching professionals 232 197 0.46 1.05
Primary and pre-primary education teaching professionals 233 166 0.38 0.89
Special education teaching professionals 234 6 0.01 0.03
Other teaching professionals 235 38 0.09 0.2
Business professionals 241 80 0.18 0.43
Legal professionals 242 46 0.11 0.25
Archivists, librarians and related information professionals 243 3 0.01 0.02
Social science and related professionals 244 43 0.10 0.23
Writers and creative or performing artists 245 92 0.21 0.49
Religious professionals 246 13 0.03 0.07
Physical and engineering science technicians 311 252 0.58 1.34
Computer associate professionals 312 59 0.14 0.31
Optical and electronic equipment operators 313 68 0.16 0.36
Ship and aircraft controllers and technicians 314 21 0.05 0.11
Safety and quality inspectors 315 8 0.02 0.04
Life science technicians and related associate professionals 321 24 0.06 0.13
Modern health associate professionals (except nursing) 322 84 0.19 0.45
Nursing and midwifery associate professionals 323 278 0.64 1.48
Other teaching associate professionals 334 2 0.00 0.01
Finance and sales associate professionals 341 138 0.32 0.74
Business services agents and trade brokers 342 33 0.08 0.18
Administrative associate professionals 343 198 0.46 1.06
Customs, tax and related government associate professionals 344 61 0.14 0.33
Police inspectors and detectives 345 3 0.01 0.02
Social work associate professionals 346 57 0.13 0.3
Artistic, entertainment and sports associate professionals 347 141 0.33 0.75
Religious associate professionals 348 2 0.00 0.01
Secretaries and keyboard-operating clerks 411 655 1.51 3.5
Numerical clerks 412 444 1.03 2.37
Material-recording and transport clerks 413 336 0.78 1.79
Library, mail and related clerks 414 170 0.39 0.91
Other office clerks 419 1551 3.58 8.28
Cashiers, tellers and related clerks 421 492 1.14 2.63
Client information clerks 422 321 0.74 1.71
Travel attendants and related workers 511 22 0.05 0.12
Housekeeping and restaurant services workers 512 907 2.10 4.84
Personal care and related workers 513 580 1.34 3.1
Other personal services workers 514 366 0.85 1.95
Protective services workers 516 43 0.10 0.23
Fashion and other models 521 46 0.11 0.25
Shop salespersons and demonstrators 522 2072 4.79 11.06
Stall and market salespersons 523 8 0.02 0.04
Market gardeners and crop growers 611 133 0.31 0.71
Market-oriented animal producers and related workers 612 101 0.23 0.54
Market-oriented crop and animal producers 613 1 0.00 0.01
Forestry and related workers 614 23 0.05 0.12
Fishery workers, hunters and trappers 615 20 0.05 0.11
Miners, shotfirers, stone cutters and carvers 711 48 0.11 0.26
Building frame and related trades workers 712 331 0.76 1.77
Building finishers and related trades workers 713 403 0.93 2.15
Painters, building structure cleaners and related trades workers 714 127 0.29 0.68
Metal moulders, welders, sheet-metal workers, structural-metal 721 229 0.53 1.22
Blacksmiths, tool-makers and related trades workers 722 121 0.28 0.65
Machinery mechanics and fitters 723 639 1.48 3.41
Electrical and electronic equipment mechanics and fitters 724 166 0.38 0.89
Precision workers in metal and related materials 731 63 0.15 0.34
Potters, glass-makers and related trades workers 732 51 0.12 0.27
Printing and related trades workers 734 123 0.28 0.66
Food processing and related trades workers 741 258 0.60 1.38
Wood treaters, cabinet-makers and related trades workers 742 61 0.14 0.33
Textile, garment and related trades workers 743 221 0.51 1.18
Pelt, leather and shoemaking trades workers 744 59 0.14 0.31
Mining- and mineral-processing plant operators 811 2 0.00 0.01
Metal-processing-plant operators 812 25 0.06 0.13
Glass, ceramics and related plant operators 813 4 0.01 0.02
Eood-processing- and papermaking-plant operators 814 33 0.08 0.18
Chemical-processing-plant operators 815 70 0.16 0.37
Power-production and related plant operators 816 4 0.01 0.02
Metal- and mineral-products machine operators 821 148 0.34 0.79
Chemical-products machine operators 822 58 0.13 0.31
Rubber- and plastic-products machine operators 823 51 0.12 0.27
Wood-products machine operators 824 28 0.06 0.15
Printing-, binding- and paper-products machine operators 825 66 0.15 0.35
Textile-, fur- and leather-products machine operators 826 567 1.31 3.03
Food and related products machine operators 827 153 0.35 0.82
Assemblers 828 290 0.67 1.55
Other machine operators and assemblers 829 9 0.02 0.05
Locomotive-engine drivers and related workers 831 13 0.03 0.07
Motor-vehicle drivers 832 64 0.15 0.34
Agricultural and other mobile-plant operators 833 32 0.07 0.17
Ships’ deck crews and related workers 834 34 0.08 0.18
Street vendors and related workers 911 123 0.28 0.66
Shoe cleaning and other street services elementary occupations 912 2 0.00 0.01
Domestic and related helpers, cleaners and launderers 913 557 1.29 2.97
Building caretakers, window and related cleaners 914 17 0.04 0.09
Messengers, porters, doorkeepers and related workers 915 366 0.85 1.95
Garbage collectors and related labourers 916 13 0.03 0.07
Agricultural, fishery and related labourers 921 380 0.88 2.03
Mining and construction labourers 931 238 0.55 1.27
Manufacturing labourers 932 774 1.79 4.13
Transport labourers and freight handlers 933 134 0.31 0.72
Total 43272 100.00
Valid cases 18739 Missing cases 24533
Index Terms Employment: Industrial and Occupational Classification
Socio-demographic Characteristics

paisco_cc International SOC : father’s job – condensed
Record Type XWAVEDAT
Valid cases 43272 Missing cases 0
Socio-demographic Characteristics

maisco_cc International SOC : mothers’s job – condensed
Record Type XWAVEDAT
Valid cases 43272 Missing cases 0
Socio-demographic Characteristics

j1isco_cc International SOC : first job – condensed
Record Type XWAVEDAT
Valid cases 43272 Missing cases 0
Socio-demographic Characteristics

plbornc_cc country of birth: condensed
Record Type XWAVEDAT
Value Label Value Frequency % Valid %
missing or wild -9 228 0.53 Missing
inapplicable -8 41368 95.60 Missing
republic of ireland 5 282 0.65 16.83
france 6 23 0.05 1.37
germany 7 159 0.37 9.49
italy 8 38 0.09 2.27
poland 10 22 0.05 1.31
cyprus 11 23 0.05 1.37
turkey 12 10 0.02 0.6
australia 13 58 0.13 3.46
new zealand 14 26 0.06 1.55
canada 15 38 0.09 2.27
u.s.a 16 69 0.16 4.12
china/ hong kong 17 23 0.05 1.37
india 18 99 0.23 5.91
pakistan 19 86 0.20 5.13
bangladesh 20 35 0.08 2.09
sri lanka 21 12 0.03 0.72
kenya 22 47 0.11 2.8
ghana 23 13 0.03 0.78
uganda 25 21 0.05 1.25
south africa 26 59 0.14 3.52
jamaica 27 48 0.11 2.86
other country 97 485 1.12 28.94
Total 43272 100.00
Valid cases 1676 Missing cases 41596
Index Terms Ethnicity