Dataset: Generations and Gender Survey Wave 1 - Consolidated

Variable a861: Kind of activity of additional job/business (see code ISCO)

Literal Question

What kind of activity is this?

Descriptive Text

Q 861 core questionnaire

DEU: only country specific values "14001-farmer", "14002-highly skilled profession (medicin, lawyer etc.)", "14003-self-employed", "14004-civil servant, judge, officer", "14005-clerk", "14006-worker", "14007-still in training", "14008-paid family worker".

Values Categories N
11 legislators and senior officials 7
 0.1%
12 corporate managers 22
 0.4%
13 general managers 51
 1.0%
21 physical, mathematical and engineering science professionals 14
 0.3%
22 life science and health professionals 9
 0.2%
23 teaching professionals 38
 0.7%
24 other professionals 90
 1.8%
31 physical and engineering science associate professionals 7
 0.1%
32 life science and health associate professionals 47
 0.9%
33 teaching associate professionals 17
 0.3%
34 other associate professionals 116
 2.3%
41 office clerks 29
 0.6%
42 customer service clerks 13
 0.3%
51 personal and protective service workers 141
 2.8%
52 models, salespersons and demonstrators 48
 0.9%
61 market-oriented skilled agricultural and fishery workers 13
 0.3%
71 extraction and building trades workers 27
 0.5%
72 metal, machinery and related trades workers 8
 0.2%
73 precision, handicraft, printing and related trades workers 2
 0.0%
74 other craft and related trades workers 3
 0.1%
81 stationary-plant and related operators 8
 0.2%
82 machine operators and assemblers 3
 0.1%
83 drivers and mobile-plant operators 25
 0.5%
91 sales and services elementary occupations 60
 1.2%
92 agricultural, fishery and related labourers 2
 0.0%
93 labourers in mining,construction,manufacturing,transport 3
 0.1%
100 armed forces and unspecified 18
 0.4%
110 1
 0.0%
1000 legislators, senior officials and managers 0
 0.0%
1100 5
 0.1%
1110 7
 0.1%
1125 2
 0.0%
1132 1
 0.0%
1141 2
 0.0%
1142 5
 0.1%
1143 4
 0.1%
1200 13
 0.3%
1210 6
 0.1%
1212 1
 0.0%
1214 1
 0.0%
1215 1
 0.0%
1217 2
 0.0%
1219 1
 0.0%
1220 1
 0.0%
1222 3
 0.1%
1223 3
 0.1%
1224 1
 0.0%
1225 1
 0.0%
1229 2
 0.0%
1231 1
 0.0%
1234 1
 0.0%
1239 2
 0.0%
1300 14
 0.3%
1311 2
 0.0%
1313 1
 0.0%
1314 10
 0.2%
1315 6
 0.1%
1316 4
 0.1%
1317 9
 0.2%
1318 6
 0.1%
1319 25
 0.5%
1399 18
 0.4%
2000 professionals 2
 0.0%
2100 5
 0.1%
2111 3
 0.1%
2112 1
 0.0%
2113 2
 0.0%
2114 1
 0.0%
2121 4
 0.1%
2122 1
 0.0%
2130 1
 0.0%
2131 17
 0.3%
2132 17
 0.3%
2139 9
 0.2%
2141 1
 0.0%
2142 3
 0.1%
2143 4
 0.1%
2144 2
 0.0%
2145 5
 0.1%
2146 1
 0.0%
2147 1
 0.0%
2148 1
 0.0%
2149 11
 0.2%
2200 7
 0.1%
2201 military 0
 0.0%
2211 2
 0.0%
2213 1
 0.0%
2221 34
 0.7%
2222 5
 0.1%
2223 1
 0.0%
2224 2
 0.0%
2229 2
 0.0%
2230 3
 0.1%
2300 57
 1.1%
2310 22
 0.4%
2311 1
 0.0%
2312 6
 0.1%
2315 2
 0.0%
2318 7
 0.1%
2320 50
 1.0%
2321 10
 0.2%
2322 2
 0.0%
2331 3
 0.1%
2332 2
 0.0%
2340 9
 0.2%
2343 1
 0.0%
2351 2
 0.0%
2352 1
 0.0%
2359 83
 1.6%
2400 34
 0.7%
2411 58
 1.1%
2412 7
 0.1%
2413 2
 0.0%
2415 2
 0.0%
2419 19
 0.4%
2421 3
 0.1%
2429 6
 0.1%
2432 5
 0.1%
2441 6
 0.1%
2443 1
 0.0%
2444 43
 0.8%
2445 4
 0.1%
2446 1
 0.0%
2447 5
 0.1%
2450 1
 0.0%
2451 30
 0.6%
2452 12
 0.2%
2453 17
 0.3%
2454 5
 0.1%
2455 19
 0.4%
2458 5
 0.1%
2461 1
 0.0%
2474 1
 0.0%
3000 technicians and associate professionals 0
 0.0%
3100 7
 0.1%
3110 1
 0.0%
3111 1
 0.0%
3112 3
 0.1%
3113 3
 0.1%
3114 4
 0.1%
3115 3
 0.1%
3116 1
 0.0%
3118 1
 0.0%
3119 3
 0.1%
3120 3
 0.1%
3121 19
 0.4%
3122 12
 0.2%
3131 11
 0.2%
3132 1
 0.0%
3134 6
 0.1%
3143 1
 0.0%
3150 2
 0.0%
3152 5
 0.1%
3153 1
 0.0%
3200 12
 0.2%
3210 4
 0.1%
3211 3
 0.1%
3212 1
 0.0%
3220 3
 0.1%
3221 15
 0.3%
3223 1
 0.0%
3224 1
 0.0%
3225 1
 0.0%
3226 5
 0.1%
3229 5
 0.1%
3231 12
 0.2%
3232 1
 0.0%
3259 1
 0.0%
3300 13
 0.3%
3310 2
 0.0%
3320 2
 0.0%
3330 4
 0.1%
3340 17
 0.3%
3400 18
 0.4%
3410 19
 0.4%
3411 1
 0.0%
3412 19
 0.4%
3413 7
 0.1%
3414 2
 0.0%
3415 34
 0.7%
3416 6
 0.1%
3417 2
 0.0%
3419 5
 0.1%
3421 9
 0.2%
3422 1
 0.0%
3429 3
 0.1%
3430 1
 0.0%
3431 6
 0.1%
3432 5
 0.1%
3433 5
 0.1%
3434 1
 0.0%
3439 2
 0.0%
3460 4
 0.1%
3461 2
 0.0%
3470 16
 0.3%
3471 9
 0.2%
3472 4
 0.1%
3473 5
 0.1%
3474 2
 0.0%
3475 17
 0.3%
3476 4
 0.1%
3477 1
 0.0%
3479 3
 0.1%
3480 2
 0.0%
4000 clerks 0
 0.0%
4100 19
 0.4%
4110 2
 0.0%
4111 1
 0.0%
4112 1
 0.0%
4113 3
 0.1%
4114 1
 0.0%
4115 5
 0.1%
4121 7
 0.1%
4122 3
 0.1%
4131 5
 0.1%
4133 2
 0.0%
4141 5
 0.1%
4142 4
 0.1%
4143 4
 0.1%
4144 2
 0.0%
4190 14
 0.3%
4191 1
 0.0%
4193 1
 0.0%
4195 1
 0.0%
4200 2
 0.0%
4211 8
 0.2%
4212 1
 0.0%
4221 1
 0.0%
4222 5
 0.1%
4223 3
 0.1%
5000 service workers and shop and market sales workers 0
 0.0%
5100 12
 0.2%
5111 1
 0.0%
5112 1
 0.0%
5113 3
 0.1%
5121 4
 0.1%
5122 18
 0.4%
5123 29
 0.6%
5124 6
 0.1%
5131 23
 0.5%
5132 5
 0.1%
5133 15
 0.3%
5140 6
 0.1%
5141 31
 0.6%
5142 1
 0.0%
5149 5
 0.1%
5152 1
 0.0%
5161 6
 0.1%
5162 2
 0.0%
5163 2
 0.0%
5169 11
 0.2%
5196 1
 0.0%
5200 7
 0.1%
5210 13
 0.3%
5220 46
 0.9%
5221 12
 0.2%
5230 74
 1.4%
6000 agricultural, forestry and fishery workers 0
 0.0%
6100 51
 1.0%
6111 39
 0.8%
6112 31
 0.6%
6113 24
 0.5%
6114 126
 2.5%
6121 42
 0.8%
6123 8
 0.2%
6124 31
 0.6%
6129 10
 0.2%
6130 86
 1.7%
6131 12
 0.2%
6140 4
 0.1%
6141 4
 0.1%
6142 1
 0.0%
6143 2
 0.0%
6150 3
 0.1%
6152 1
 0.0%
6160 2
 0.0%
6210 264
 5.2%
6211 38
 0.7%
7000 craft and related trades workers 1
 0.0%
7100 6
 0.1%
7111 1
 0.0%
7113 3
 0.1%
7120 26
 0.5%
7121 25
 0.5%
7122 17
 0.3%
7123 1
 0.0%
7124 24
 0.5%
7125 2
 0.0%
7126 1
 0.0%
7129 8
 0.2%
7131 3
 0.1%
7132 8
 0.2%
7133 1
 0.0%
7134 2
 0.0%
7135 1
 0.0%
7136 17
 0.3%
7137 18
 0.4%
7141 26
 0.5%
7142 8
 0.2%
7143 1
 0.0%
7200 6
 0.1%
7212 8
 0.2%
7213 2
 0.0%
7214 2
 0.0%
7220 2
 0.0%
7221 1
 0.0%
7222 3
 0.1%
7223 5
 0.1%
7224 1
 0.0%
7230 4
 0.1%
7231 34
 0.7%
7233 3
 0.1%
7239 3
 0.1%
7240 11
 0.2%
7241 9
 0.2%
7242 2
 0.0%
7243 6
 0.1%
7245 3
 0.1%
7311 1
 0.0%
7313 2
 0.0%
7323 1
 0.0%
7331 6
 0.1%
7332 10
 0.2%
7345 1
 0.0%
7349 1
 0.0%
7400 4
 0.1%
7410 4
 0.1%
7411 2
 0.0%
7412 5
 0.1%
7415 10
 0.2%
7421 2
 0.0%
7422 3
 0.1%
7423 3
 0.1%
7424 1
 0.0%
7432 10
 0.2%
7433 19
 0.4%
7436 11
 0.2%
7437 2
 0.0%
7440 2
 0.0%
7442 4
 0.1%
7454 1
 0.0%
8000 plant and machine operators and assemblers 0
 0.0%
8100 1
 0.0%
8123 2
 0.0%
8141 3
 0.1%
8162 2
 0.0%
8163 1
 0.0%
8200 9
 0.2%
8266 2
 0.0%
8269 1
 0.0%
8273 1
 0.0%
8274 1
 0.0%
8276 1
 0.0%
8280 6
 0.1%
8281 1
 0.0%
8282 1
 0.0%
8283 1
 0.0%
8285 1
 0.0%
8290 1
 0.0%
8292 1
 0.0%
8300 17
 0.3%
8312 1
 0.0%
8320 23
 0.5%
8321 1
 0.0%
8322 18
 0.4%
8323 5
 0.1%
8324 4
 0.1%
8331 11
 0.2%
8332 6
 0.1%
9000 elementary occupations 5
 0.1%
9100 44
 0.9%
9111 3
 0.1%
9112 3
 0.1%
9113 12
 0.2%
9120 2
 0.0%
9121 1
 0.0%
9131 15
 0.3%
9132 91
 1.8%
9133 1
 0.0%
9134 1
 0.0%
9135 4
 0.1%
9141 11
 0.2%
9151 11
 0.2%
9152 42
 0.8%
9154 2
 0.0%
9155 1
 0.0%
9161 3
 0.1%
9162 18
 0.4%
9163 15
 0.3%
9200 33
 0.6%
9211 135
 2.6%
9212 4
 0.1%
9213 8
 0.2%
9214 1
 0.0%
9300 2
 0.0%
9311 2
 0.0%
9312 13
 0.3%
9313 7
 0.1%
9315 3
 0.1%
9321 7
 0.1%
9322 3
 0.1%
9330 1
 0.0%
9333 26
 0.5%
9993 5
 0.1%
9995 2
 0.0%
14001 farmer 43
 0.8%
14002 highly skilled profession (medicin, lawyer etc.) 36
 0.7%
14003 self-employed 149
 2.9%
14004 civil servant, judge, officer 2
 0.0%
14005 clerk 272
 5.3%
14006 worker 200
 3.9%
14007 still in training 5
 0.1%
14008 paid family worker 32
 0.6%
9997 does not know 31
9998 refusal 7
9999 no response/not applicable 307
Sysmiss 183761

Summary Statistics

Valid cases 5106
Missing cases 184106
This variable is numeric

Universe

If code 1 on Q 860

Notes

ISCO '88 code must be regarded

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