Dataset: Religion (ISSP 1998) - Czech Republic

Variable isco88sp: Occupation-spouse,ISCO88

Values Categories N
110 armed forces 3
 0.2%
1310 general managers 1
 0.1%
1311 general managers agriculture, hunting forestry & fishing 3
 0.2%
1312 general managers manufacturing 1
 0.1%
1314 general managers wholesale & retail trade 7
 0.6%
1315 general managers restaurants & hotels 3
 0.2%
1318 general managers personal care, cleaning etc services 1
 0.1%
1319 general managers nec 3
 0.2%
2113 chemists 1
 0.1%
2131 computer systems designers & analysts 1
 0.1%
2139 computing professionals nec 1
 0.1%
2149 architects engineers etc professionals nec 2
 0.2%
2211 biologists, botanists zoologists etc professionals 1
 0.1%
2221 medical doctors 3
 0.2%
2222 dentists 2
 0.2%
2310 higher education teaching professionals 3
 0.2%
2320 secondary education teaching professionals 3
 0.2%
2331 primary education teaching professionals 7
 0.6%
2359 other teaching professionals nec 1
 0.1%
2410 business professionals 1
 0.1%
2411 accountants 6
 0.5%
2419 business professionals nec 2
 0.2%
2432 librarians etc information professionals 1
 0.1%
2444 philologists translators & interpreters 1
 0.1%
2451 authors journalists & other writers 1
 0.1%
2452 sculptors, painters etc artists 2
 0.2%
3110 physical & engineering science technicians 2
 0.2%
3112 civil engineering technicians 1
 0.1%
3113 electrical engineering technicians 2
 0.2%
3114 electronics & telecommunications engineering technicians 1
 0.1%
3118 draughtspersons 1
 0.1%
3119 physical & engineering science technicians nec 1
 0.1%
3120 computer associate professionals 1
 0.1%
3145 air traffic safety technicians 1
 0.1%
3211 life science technicians 4
 0.3%
3212 agronomy & forestry technicians 2
 0.2%
3231 nursing associate professionals 11
 0.9%
3310 primary education teaching associate professionals 2
 0.2%
3320 pre-primary education teaching associate professionals 1
 0.1%
3340 other teaching associate professionals 2
 0.2%
3415 technical & commercial sales representatives 5
 0.4%
3421 trade brokers 2
 0.2%
3422 clearing & forwarding agents 1
 0.1%
3430 administrative associate professionals 7
 0.6%
3431 administrative secretaries etc associate professionals 1
 0.1%
3433 bookkeepers 11
 0.9%
3439 administrative associate professionals nec 1
 0.1%
3449 customs tax etc government associate professionals nec 4
 0.3%
3460 social work associate professionals 1
 0.1%
3471 decorators & commercial designers 1
 0.1%
3475 athletes sportspersons etc associate professionals 1
 0.1%
4111 stenographers & typists 1
 0.1%
4114 calculating-machine operators 1
 0.1%
4121 accounting & bookkeeping clerks 5
 0.4%
4131 stock clerks 10
 0.8%
4133 transport clerks 2
 0.2%
4141 library & filing clerks 1
 0.1%
4142 mail carriers & sorting clerks 2
 0.2%
4190 other office clerks 2
 0.2%
5121 housekeepers etc workers 2
 0.2%
5122 cooks 8
 0.7%
5123 waiters waitresses & bartenders 4
 0.3%
5133 home based personal care workers 2
 0.2%
5141 hairdressers barbers beauticians etc workers 1
 0.1%
5161 fire-fighters 1
 0.1%
5162 police officers 3
 0.2%
5169 protective services workers nec 6
 0.5%
5220 shop salespersons & demonstrators 26
 2.1%
6110 market gardeners & cropgrowers 1
 0.1%
6113 gardeners, horticultural & nursery growers 1
 0.1%
6121 dairy & livestock producers 1
 0.1%
6141 forestry workers & loggers 1
 0.1%
7111 miners & quarry workers 1
 0.1%
7121 builders traditional materials 7
 0.6%
7122 bricklayers & stonemasons 2
 0.2%
7129 building frame etc trades workers nec 1
 0.1%
7131 roofers 2
 0.2%
7134 insulation workers 2
 0.2%
7136 plumbers & pipe fitters 11
 0.9%
7137 building etc electricians 4
 0.3%
7141 painters etc workers 2
 0.2%
7143 building structure cleaners 1
 0.1%
7212 welders & flamecutters 1
 0.1%
7213 sheet-metal workers 2
 0.2%
7214 structural-metal preparers & erectors 1
 0.1%
7222 tool-makers etc workers 12
 1.0%
7223 machine-tool setters & setter-operators 4
 0.3%
7230 machinery mechanics & fitters 4
 0.3%
7231 motor vehicle mechanics & fitters 10
 0.8%
7233 agricultural- or industrial-machinery mechanics & fitters 6
 0.5%
7240 electrical & electronic equipment mechanics & fitters 1
 0.1%
7241 electrical mechanics & fitters 6
 0.5%
7243 electronics mechanics & servicers 2
 0.2%
7244 telegraph & telephone installers & servicers 1
 0.1%
7245 electrical line installers repairers & cable jointers 2
 0.2%
7313 jewellery & precious-metal workers 1
 0.1%
7331 handicraft workers in wood etc materials 1
 0.1%
7340 printing etc trades workers 1
 0.1%
7341 compositors typesetters etc workers 1
 0.1%
7412 bakers pastry-cooks & confectionery make rs 1
 0.1%
7422 cabinet-makers etc workers 6
 0.5%
7433 tailors dressmakers & hatters 3
 0.2%
7436 sewers embroiderers etc workers 3
 0.2%
7500 [generic skilled manual worker] 3
 0.2%
8113 well drillers & borers etc workers 1
 0.1%
8141 wood-processing-plant operators 1
 0.1%
8163 incinerator water-treatment etc plant operators 1
 0.1%
8211 machine-tool operators 1
 0.1%
8212 cement & other mineral products machine operators 1
 0.1%
8261 fibre-preparing-, spinning- & windingmachine operators 1
 0.1%
8262 weaving- & knitting-machine operators 2
 0.2%
8263 sewing-machine operators 3
 0.2%
8265 fur- & leather-preparing-machine operators 1
 0.1%
8280 assemblers 1
 0.1%
8281 mechanical-machinery assemblers 1
 0.1%
8282 electrical-equipment assemblers 1
 0.1%
8311 locomotive-engine drivers 2
 0.2%
8320 motor-vehicle drivers 12
 1.0%
8322 car taxi & van drivers 3
 0.2%
8323 bus & tram drivers 3
 0.2%
8324 heavy truck & lorry drivers 7
 0.6%
8331 motorized farm & forestry plant operators 4
 0.3%
8332 earth-moving- etc plant operators 1
 0.1%
8333 crane hoist etc plant operators 3
 0.2%
9112 street vendors non-food products 1
 0.1%
9132 helpers & cleaners in establishments 7
 0.6%
9133 hand-launderers & pressers 1
 0.1%
9141 building caretakers 4
 0.3%
9152 doorkeepers watchpersons etc workers 5
 0.4%
9162 sweepers etc laborers 1
 0.1%
9211 farm-hands & laborers 8
 0.7%
9212 forestry laborers 3
 0.2%
9313 building construction laborers 1
 0.1%
9321 assembling laborers 5
 0.4%
9333 freight handlers 5
 0.4%
9999 NAP, NA, refused 819
 66.9%

Summary Statistics

Valid cases 1224
Missing cases 0
This variable is numeric

Download

Metadata Index

This is the Metadata Index for a Nesstar Server.
Nesstar is a tool used for analysing, visualising and downloading datasets.

Click the "Explore Dataset" button to open the dataset.