Dataset: Pracovní orietace (ISSP 1997) - Česká republika

Variable isco93sp: Occupation-spouse,extendedISCOTreiman93

Values Categories N
9 1
 0.3%
1211 directors & chief executives 1
 0.3%
1222 department managers manufacturing 4
 1.0%
1231 finance & administration department managers 5
 1.3%
1236 computing services department managers 1
 0.3%
1239 other department managers nec 3
 0.8%
1251 high military officers 1
 0.3%
1252 lower grade military officers 2
 0.5%
1312 general managers manufacturing 1
 0.3%
1313 general managers construction 1
 0.3%
1314 general managers wholesale & retail trade 11
 2.8%
1316 general managers transport, storage & communications 3
 0.8%
1317 general managers business services 3
 0.8%
1319 general managers nec 2
 0.5%
2113 chemists 1
 0.3%
2114 geologists & geophysicists 1
 0.3%
2132 computer programmers 2
 0.5%
2141 architects town & traffic planners 1
 0.3%
2142 civil engineers 2
 0.5%
2212 pharmacologists, pathologists etc. professionals 1
 0.3%
2221 medical doctors 3
 0.8%
2224 pharmacists 1
 0.3%
2310 higher education teaching professionals nsf 2
 0.5%
2320 secondary education teaching professionals 3
 0.8%
2331 primary education teaching professionals 5
 1.3%
2332 pre-primary education teaching professionals 2
 0.5%
2359 other teaching professionals nec 3
 0.8%
2410 business professionals nsf 7
 1.8%
2411 accountants 4
 1.0%
2421 lawyers 2
 0.5%
2422 judges 1
 0.3%
2444 philologists translators & interpreters 2
 0.5%
2452 sculptors, painters etc. artists 2
 0.5%
3110 physical & engineering science technicians nsf 9
 2.3%
3113 electrical engineering technicians 1
 0.3%
3115 mechanical engineering technicians 2
 0.5%
3119 physical & engineering science technicians nec 3
 0.8%
3152 safety, health & quality inspectors 2
 0.5%
3210 life science technicians etc. associate professionals nsf 2
 0.5%
3211 life science technicians 1
 0.3%
3231 nursing associate professionals 6
 1.5%
3232 midwifery associate professionals 1
 0.3%
3340 other teaching associate professionals 1
 0.3%
3412 insurance representatives 1
 0.3%
3416 buyers 2
 0.5%
3419 finance & sales associate professionals nec 1
 0.3%
3421 trade brokers 1
 0.3%
3422 clearing & forwarding agents 2
 0.5%
3430 administrative associate professionals nsf 3
 0.8%
3433 bookkeepers 4
 1.0%
3439 administrative associate professionals nec 2
 0.5%
3441 customs & border inspectors 1
 0.3%
3451 police inspectors, detectives 1
 0.3%
4111 stenographers & typists 4
 1.0%
4112 word-processor etc. operators 6
 1.5%
4120 numerical clerks nsf 3
 0.8%
4121 accounting & bookkeeping clerks 11
 2.8%
4131 stock clerks 2
 0.5%
4142 mail carriers & sorting clerks 6
 1.5%
4190 other office clerks 2
 0.5%
4211 cashiers & ticket clerks 2
 0.5%
4212 tellers & other counter clerks 6
 1.5%
4222 receptionists & information clerks 1
 0.3%
5113 travel, museum guides 1
 0.3%
5122 cooks 7
 1.8%
5123 waiters waitresses & bartenders 6
 1.5%
5141 hairdressers barbers beauticians etc. workers 2
 0.5%
5149 other personal services workers nec 1
 0.3%
5161 fire-fighters 1
 0.3%
5162 police officers 2
 0.5%
5220 shop salespersons & demonstrators 18
 4.6%
6113 gardeners, horticultural & nursery growers 2
 0.5%
6121 dairy & livestock producers 5
 1.3%
6152 inland & coastal waters fishery workers 1
 0.3%
6210 subsistence agricultural & fishery workers 1
 0.3%
7110 miners, shotfirers, stone cutters & carvers nsf 2
 0.5%
7121 builders traditional materials 4
 1.0%
7129 building frame etc. trades workers nec 3
 0.8%
7132 floor layers & tile setters 2
 0.5%
7136 plumbers & pipe fitters 7
 1.8%
7141 painters etc. workers 1
 0.3%
7142 varnishers etc. painters 1
 0.3%
7212 welders & flamecutters 5
 1.3%
7213 sheet-metal workers 1
 0.3%
7221 blacksmiths hammer-smiths & forgingpress workers 1
 0.3%
7222 tool-makers etc. workers 8
 2.0%
7223 machine-tool setters & setter-operators 5
 1.3%
7224 metal wheel-grinders polishers & tool sharpeners 2
 0.5%
7230 machinery mechanics & fitters nsf 5
 1.3%
7231 motor vehicle mechanics & fitters 10
 2.6%
7233 agricultural- or industrial-machinery mechanics & fitters 4
 1.0%
7234 oilers and greasers 1
 0.3%
7240 electrical & electronic equipment mechanics & fitters nsf 1
 0.3%
7241 electrical mechanics & fitters 7
 1.8%
7244 telegraph & telephone installers & servicers 2
 0.5%
7322 glass-makers cutters grinders & finishers 3
 0.8%
7324 glass ceramics etc. decorative painters 1
 0.3%
7341 compositors typesetters etc. workers 1
 0.3%
7344 photographic etc. workers 2
 0.5%
7345 bookbinders etc. workers 1
 0.3%
7411 butchers fishmongers etc. food preparers 1
 0.3%
7412 bakers pastry-cooks & confectionery make rs 2
 0.5%
7422 cabinet-makers etc. workers 4
 1.0%
7432 weavers knitters etc. workers 4
 1.0%
7436 sewers embroiderers etc. workers 3
 0.8%
7437 upholsterers etc. workers 1
 0.3%
7441 pelt dressers tanners & fellmongers 1
 0.3%
7442 shoe-makers etc. workers 1
 0.3%
7500 1
 0.3%
7510 non-farm foremen and supervisors 7
 1.8%
8120 metal-processing-plant operators nsf 2
 0.5%
8122 metal melters casters & rolling-mill operators 2
 0.5%
8123 metal-heat-treating-plant operators 1
 0.3%
8159 chemical-processing-plant operators nec 1
 0.3%
8264 bleaching- dyeing- & cleaning-machine operators 1
 0.3%
8265 fur- & leather-preparing-machine operators 1
 0.3%
8280 assemblers nsf 1
 0.3%
8281 mechanical-machinery assemblers 3
 0.8%
8283 electronic-equipment assemblers 1
 0.3%
8290 other machine operators & assemblers 1
 0.3%
8311 locomotive-engine drivers 1
 0.3%
8312 railway brakers signallers & shunters 1
 0.3%
8320 motor-vehicle drivers nsf 4
 1.0%
8322 car taxi & van drivers 1
 0.3%
8323 bus & tram drivers 2
 0.5%
8324 heavy truck & lorry drivers 14
 3.6%
8331 motorized farm & forestry plant operators 2
 0.5%
8333 crane hoist etc. plant operators 2
 0.5%
8400 semiskilled worker nsf 7
 1.8%
9132 helpers & cleaners in establishments 7
 1.8%
9141 building caretakers 2
 0.5%
9161 garbage collectors 1
 0.3%
9211 farm-hands & laborers 1
 0.3%
9320 manufacturing laborers nsf 2
 0.5%
9321 assembling laborers 4
 1.0%
9322 hand packers & other manufacturing laborers 1
 0.3%
-9 INAP, NA 677
-8 refused 8
-7 dont know 4

Summary Statistics

Valid cases 391
Missing cases 689
This variable is numeric

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