Mednarodna splošna družboslovna anketa (ISSP), 2014: Razumevanje vloge državljana II
Basic Study Information
ADP - IDNo: ISSP14
Main author(s):
Data file producer:
GESIS - GESIS Datenarchiv, GESIS Leibniz-Institute for the Social Sciences (Cologne; 2016)
Funding agency:
Vsaka raziskovalna organizacija krije svoje stroške raziskave. Skupnega financiranja ni.
Project number:
no information
Series:
- ISSP/Mednarodna splošna družboslovna anketa = International Social Survey Programme
Mednarodna družboslovna anketa (ISSP) je kontinuiran program mednarodnega sodelovanja v letnih anketah, ki pokrivajo pomembne teme za družboslovno znanstveno raziskovanje. Združuje že obstoječe družbeno-znanstvene projekte in usklajuje raziskovalne cilje ter tako dodaja posameznim nacionalnim raziskavam mednarodni in medkulturni vidik. Vsaka posamezna raziskava (tematski modul) se ukvarja z določeno družboslovno tematiko. Tako raziskave ISSP do sedaj vsebujejo vprašanja o odnosu posameznika do številnih družbenih tem, kot so: okolje, vloga vlade, družbene neenakosti, socialno podporo, družina in spolne vloge, delo in delovne usmeritve, religija, državljanstvo, nacionalna identiteta, zdravje in zdravstveni sistem. Prva raziskava je bila izvedena v letih 1985/86 v šestih državah, danes pa ima ISSP preko 40 držav članic po vsem svetu. (http://www.issp.org/)
Study Content
Keywords ADP: razumevanje vloge državljana, državljanstvo, družbena in politična participacija, članstvo, zanimanje za politiko, zaupanje politikom, zaupanje v vlado, zaupanje v sočloveka, volitve, poštenost volitev, referendum/zbiranje podpisov kot obliki sprejemanja odločitev, javne službe, korupcija v javnih službah
Keywords ELSST:
DRŽAVLJANSTVO, ZANIMANJE ZA POLITIKO, ZAUPANJE V VLADO, VOLITVE , REFERENDUM
Topic Classification CESSDA
POLITIKA
Topic Classification CERIF
Sociologija
Topic Classification ADP
DRŽAVLJANSTVO
DRUŽBA
DRŽAVA
POLITIKA
DEMOKRACIJA
Abstract:
Ta izvedba raziskav ISSP se osredotoča na stališča do državljanov in države. Respondente sprašuje o kakovosti dobrega državljana, družbeni in politični participaciji, o aktivnem in pasivnem članstvu v različnih združenjih (stranke, sindikati, verske organizacije, športna društva, ipd.), zanimanju za politiko, politični samoopredelitvi levo-desno ter o zaupanju politikom in vladi. Respondenti ocenjujejo poštenost ljudi, možnost prave izbire med strankami, raven poštenosti zadnjih nacionalnih volitev, služenje državljanom in stopnjo korupcije v javnih službah ter delovanje demokracije v državi. Odgovarjajo tudi, kako pogosto imajo politične razprave s prijatelji ter se opredelijo do referenduma kot dobrega načina političnega odločanja. Demografski sklop vključuje vprašanja o starosti respondenta, spolu, izobrazbi, zaposlitvi, poklicu, zakonskemu statusu, o članstvu v sindikatu, verskem prepričanju, udeležbi na zadnjih volitvah, voljeni stranki (levo-desno), o pripadnosti etnični skupini, velikosti gospodinjstva, dohodku, državi rojstva staršev in o regiji bivanja.
Methodology
| Collection date: | Zbiranje podatkov na terenu je potekalo: Avstralija: 12. maj 2014 - 16. april 2015, Avstrija: 10. junij 2016, Belgija: 14. oktober 2015 - 22. marec 2016, Češka: 11. april 2014 - 20. junij 2014, Čile: 31. oktober 2014 - 27. november 2015, Danska: 22. november 2014 - 06. februar 2015, Filipini: 19. februar 2014 - 23. februar 2014, Finska: 17. september 2014 - 19. december 2014, Francija: 28. februar 2012 - september 2014, Gruzija: 01. september 2013 - 24. oktober 2013, Hrvaška: 03. januar 2015 - 23. januar 2015, Indija: 12. marec 2016 - 29. marec 2016, Islandija: 03. julij 2015 - 02. september 2015, Izrael: 03. februar 2014 - 03. junij 2014, Japonska: 14. junij 2014 - 22. junij 2014, Južna Afrika: 01. januar 2015 - 31. marec 2015, Južna Koreja: 23. junij 2014 - 18. oktober 2014, Litva: 03. marec 2015 - 28. april 2015, Madžarska: 13. junij 2014 - 18. junij 2014, Nemčija: 24. marec 2014 - 13. september 2014, Nizozemska: 01. april 2014 - 30. september 2014, Norveška: 20. oktober 2014 - 30. december 2014, Poljska: 01. marec 2015 - 26. junij 2015, Ruska federacija: 01. avgust 2014 - 05. avgust 2014, Slovaška: 17. september 2014 - 28. oktober 2014, Slovenija: 02. oktober 2013 - 17. december 2013, Španija: 14. marec 2014 - 28. maj 2014, Švedska: 11. marec 2014 - 30. maj 2014, Švica: 12. februar 2015 - 10. julij 2015, Tajvan: 04. avgust 2014 - 16. november 2014, Turčija: 13. februar 2015 - 06. april 2015, Velika Britanija: 31. julij 2014 - 06. november 2014, Venezuela: 19. januar 2015 - 08. februar 2015, Združene države Amerike: 01. april 2014 - 11. oktober 2014 |
|---|---|
| Date of production: | 2016 |
| Country: | Avstralija, Avstrija, Belgija, Češka, Čile, Danska, Filipini, Finska, Francija, Gruzija, Hrvaška, Indija, Islandija, Izrael, Japonska, Južna Afrika, Južna Koreja, Litva, Madžarska, Nemčija, Nizozemska, Norveška, Poljska, Ruska federacija, Slovaška, Slovenija, Španija, Švedska, Švica, Tajvan, Turčija, Velika Britanija, Venezuela, Združene države Amerike |
| Geographic coverage: |
Teritorij naštetih držav. |
| Unit of analysis: |
Posameznik |
| Universe: |
Osebe stare 18 let in več, izjeme so: Finska: od 15 do 75 let, Japonska: 16 let ali več, Južna Afrika: 16 let ali več, ter Švedska: od 17 do 79 let. Za dodatna pojasnila glej doi:10.4232/1.12590. |
| Excluded: | no information |
| Data collected by: |
Avstralija: Academic Surveys Australia Avstrija: IFES - Institut für empirische Sozialforschung, Vienna Belgija: Research Center of the Flemish Government, Brussels, and IWEPS, Namur Češka: SC&C, Prague Čile: CADEM, Santiago de Chile Danska: Rambøll Denmark A/S, Copenhagen Filipini: Social Weather Stations, Quezon City Finska: Statistics Finland, Social Survey Unit, Helsinki Francija: Centre de Recherche en Economie et Statistique (CREST), Laboratoire de Sociologie Quantitative, Malakoff Gruzija: Center for Social Sciences (CSS), Tbilisi Hrvaška: GFK market research Indija: CVoter News Services Pvt. Ltd., Noida Islandija: Social Science Research Institute - University of Iceland Izrael: B.I. and Lucille Cohen Institute, Tel Aviv Japonska: Central Research Services, Inc., Tokyo Južna Afrika: Human Sciences Research Council, Pretoria Južna Koreja: Survey Research Center at Sungkyunkwan University, Seoul Litva: Eurotela, Klaipėda Madžarska: TÁRKI Social Research Institute, Budapest Nemčija: TNS Infratest, Munich Nizozemska: VU University Amsterdam Norveška: TNS Gallup (kontakt in administracija papirnatih vprašalnikov) and Norwegian Social Science Data Services (NSD) (administracija spletnih vprašalnikov), Bergen Poljska: Central Statistical Office of Poland (GUS), Warsaw Ruska federacija: Levada-Center, Moscow Slovaška: FOCUS agency, Bratislava Slovenija: Center za raziskovanje javnega mnenja in množičnih komunikacij (CJMMK), Univerza v Ljubljani Španija: Centro de Investigaciones Sociológicas (CIS) Švedska: SIFO Švica: M.I.S. Trend SA, Economic and social research institute, Lausanne Tajvan: Center for Survey Research, RCHSS, Academia Sinica, Taipei City Turčija: Infakto Research Workshop Inc., Istanbul Velika Britanija: National Centre for Social Research (NatCen), London Venezuela: Instituto Delphos, Caracas Združene države Amerike: National Opinion Research Center (NORC), Chicago |
| Sampling procedure: |
Verjetnostno: enostavno slučajno Verjetnostno: večstopenjsko Vzorčenje se razlikuje glede na posamezne države. Za dodatna pojasnila glej doi:10.4232/1.12590. |
| Mode of data collection: |
Osebni intervju: CAPI/CAMI Osebni intervju: PAPI Vprašalnik za samoizpolnjevanje: papirnati Vprašalnik za samoizpolnjevanje: računalniško podprti (CASI) Vprašalnik za samoizpolnjevanje: spletni Telefonski intervju Odvisno od posamezne države. Za dodatna pojasnila glej doi:10.4232/1.12590. |
| Weighting: |
Da. Za dodatna pojasnila glej doi:10.4232/1.12590. |
Access restrictions
Za dostop do podatkov se obrnite na avtorja raziskave ali pristojno organizacijo, saj Arhiv družboslovnih podatkov ne distribuira podatkov te raziskave. Več o omejitvah dostopa na doi:10.4232/1.12590.
Contact: GESIS Datenarchiv
Več o pravilnem navajanju podatkov na doi:10.4232/1.12590.
Več o uporabnikovi odgovornosti obveščanja arhiva o uporabi podatkov in objavi del na doi:10.4232/1.12590.
Uporabnik naj pred uporabo pozorno prebere spremljajočo dokumentacijo in se v primeru nejasnosti obrne na avtorje raziskave ali Arhiv.
Basic Data File Description
Title of Data file: ZA6670: International Social Survey Programme: Citizenship II - ISSP 2014 [Podatkovna datoteka]
File ID: F1
Format: OSTALO
- number of variables: 389
- number of units: 49807
Version: 2.0.0, doi:10.4232/1.12590
Variable list
V1 GESIS Data Archive Study Number - 'Citizenship II'
| Value 13 | Frequency | |
|---|---|---|
| 6670 | GESIS Data Archive Study Number: ZA6670 | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49807 | 0 | 6670 | 6670 |
Valid range from 6670 to 6670
V2 GESIS Archive Version
| Value 22 | Frequency | |
|---|---|---|
| 2.0.0 (2016-08-24) | 49807 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49807 | 0 |
DOI Digital Object Identifier
| Value 31 | Frequency | |
|---|---|---|
| doi:10.4232/1.12590 | 49807 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49807 | 0 |
V1 GESIS Data Archive Study Number - 'Citizenship II'
| Value 1389 | Frequency | |
|---|---|---|
| 6670 | GESIS Data Archive Study Number: ZA6670 | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49807 | 0 | 6670 | 6670 |
Valid range from 6670 to 6670
V2 GESIS Archive Version
| Value 2388 | Frequency | |
|---|---|---|
| 2.0.0 (2016-08-24) | 49807 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49807 | 0 |
DOI Digital Object Identifier
| Value 3387 | Frequency | |
|---|---|---|
| doi:10.4232/1.12590 | 49807 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49807 | 0 |
V3 Country/Sample (see V4 for codes for whole nation states)
| Value 4386 | Frequency | |
|---|---|---|
| 36 | AU-Australia | 1432 |
| 40 | AT-Austria | 1033 |
| 152 | CL-Chile | 1432 |
| 158 | TW-Taiwan | 1875 |
| 191 | HR-Croatia | 1000 |
| 203 | CZ-Czech Republic | 1532 |
| 208 | DK-Denmark | 1758 |
| 246 | FI-Finland | 1505 |
| 250 | FR-France | 1211 |
| 268 | GE-Georgia | 1498 |
| 348 | HU-Hungary | 1007 |
| 352 | IS-Iceland | 1497 |
| 356 | IN-India | 1209 |
| 392 | JP-Japan | 1593 |
| 410 | KR-Korea (South) | 1370 |
| 440 | LT-Lithuania | 1119 |
| 528 | NL-Netherlands | 1638 |
| 578 | NO-Norway | 1459 |
| 608 | PH-Philippines | 1200 |
| 616 | PL-Poland | 2112 |
| 643 | RU-Russia | 1600 |
| 703 | SK-Slovak Republic | 1156 |
| 705 | SI-Slovenia | 1010 |
| 710 | ZA-South Africa | 3124 |
| 724 | ES-Spain | 1755 |
| 752 | SE-Sweden | 899 |
| 756 | CH-Switzerland | 1235 |
| 792 | TR-Turkey | 1509 |
| 840 | US-United States | 1264 |
| 862 | VE-Venezeula | 1009 |
| 5601 | BE-FLA-Belgium/ Flanders | 999 |
| 5602 | BE-WAL-Belgium/ Wallonia | 684 |
| 5603 | BE-BRU-Belgium/ Brussels | 581 |
| 27601 | DE-W-Germany-West | 1155 |
| 27602 | DE-E-Germany-East | 563 |
| 37601 | IL-J-Israel, Jews | 1029 |
| 37602 | IL-A-Israel, Arabs | 175 |
| 82601 | GB-GBN-Great Britain | 1580 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49807 | 0 | 36 | 82601 |
Valid range from 36 to 82601
V4 Country (see V3 for codes for the sample)
| Value 5385 | Frequency | |
|---|---|---|
| 36 | AU-Australia | 1432 |
| 40 | AT-Austria | 1033 |
| 56 | BE-Belgium | 2264 |
| 152 | CL-Chile | 1432 |
| 158 | TW-Taiwan | 1875 |
| 191 | HR-Croatia | 1000 |
| 203 | CZ-Czech Republic | 1532 |
| 208 | DK-Denmark | 1758 |
| 246 | FI-Finland | 1505 |
| 250 | FR-France | 1211 |
| 268 | GE-Georgia | 1498 |
| 276 | DE-Germany | 1718 |
| 348 | HU-Hungary | 1007 |
| 352 | IS-Iceland | 1497 |
| 356 | IN-India | 1209 |
| 376 | IL-Israel | 1204 |
| 392 | JP-Japan | 1593 |
| 410 | KR-Korea (South) | 1370 |
| 440 | LT-Lithuania | 1119 |
| 528 | NL-Netherlands | 1638 |
| 578 | NO-Norway | 1459 |
| 608 | PH-Philippines | 1200 |
| 616 | PL-Poland | 2112 |
| 643 | RU-Russia | 1600 |
| 703 | SK-Slovak Republic | 1156 |
| 705 | SI-Slovenia | 1010 |
| 710 | ZA-South Africa | 3124 |
| 724 | ES-Spain | 1755 |
| 752 | SE-Sweden | 899 |
| 756 | CH-Switzerland | 1235 |
| 792 | TR-Turkey | 1509 |
| 826 | GB-GBN-Great Britain and/or United Kingdom | 1580 |
| 840 | US-United States | 1264 |
| 862 | VE-Venezuela | 1009 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49807 | 0 | 36 | 862 |
Valid range from 36 to 862
C_ALPHAN Country Prefix ISO 3166
| Value 6384 | Frequency | |
|---|---|---|
| AT | 1033 | |
| AU | 1432 | |
| BE | 2264 | |
| CH | 1235 | |
| CL | 1432 | |
| CZ | 1532 | |
| DE | 1718 | |
| DK | 1758 | |
| ES | 1755 | |
| FI | 1505 | |
| FR | 1211 | |
| GB-GBN | 1580 | |
| GE | 1498 | |
| HR | 1000 | |
| HU | 1007 | |
| IL | 1204 | |
| IN | 1209 | |
| IS | 1497 | |
| JP | 1593 | |
| KR | 1370 | |
| LT | 1119 | |
| NL | 1638 | |
| NO | 1459 | |
| PH | 1200 | |
| PL | 2112 | |
| RU | 1600 | |
| SE | 899 | |
| SI | 1010 | |
| SK | 1156 | |
| TR | 1509 | |
| TW | 1875 | |
| US | 1264 | |
| VE | 1009 | |
| ZA | 3124 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49807 | 0 |
V5 Q1 Good citizen: always vote in elections
| Value 7383 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 2173 |
| 2 | 2 | 1216 |
| 3 | 3 | 1928 |
| 4 | 4 | 3888 |
| 5 | 5 | 5566 |
| 6 | 6 | 8164 |
| 7 | 7, Very important | 25808 |
| 8 | Can't choose | 710 |
| 9 | No answer | 354 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48743 | 1064 |
Valid range from 1 to 7
V6 Q2 Good citizen: never try to evade taxes
| Value 8382 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 1021 |
| 2 | 2 | 782 |
| 3 | 3 | 1345 |
| 4 | 4 | 3066 |
| 5 | 5 | 5137 |
| 6 | 6 | 9019 |
| 7 | 7, Very important | 28145 |
| 8 | Can't choose | 827 |
| 9 | No answer | 465 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48515 | 1292 |
Valid range from 1 to 7
V7 Q3 Good citizen: always obey laws
| Value 9381 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 520 |
| 2 | 2 | 464 |
| 3 | 3 | 999 |
| 4 | 4 | 2778 |
| 5 | 5 | 5864 |
| 6 | 6 | 10806 |
| 7 | 7, Very important | 27394 |
| 8 | Can't choose | 496 |
| 9 | No answer | 486 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48825 | 982 |
Valid range from 1 to 7
V8 Q4 Good citizen: keep watch on actions of government
| Value 10380 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 1632 |
| 2 | 2 | 1583 |
| 3 | 3 | 2903 |
| 4 | 4 | 6721 |
| 5 | 5 | 9530 |
| 6 | 6 | 9297 |
| 7 | 7, Very important | 16310 |
| 8 | Can't choose | 1321 |
| 9 | No answer | 510 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47976 | 1831 |
Valid range from 1 to 7
V9 Q5 Good citizen: active in social or political associations
| Value 11379 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 5683 |
| 2 | 2 | 4711 |
| 3 | 3 | 6433 |
| 4 | 4 | 10069 |
| 5 | 5 | 8834 |
| 6 | 6 | 5518 |
| 7 | 7, Very important | 6386 |
| 8 | Can't choose | 1641 |
| 9 | No answer | 532 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47634 | 2173 |
Valid range from 1 to 7
V10 Q6 Good citizen: understand other opinions
| Value 12378 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 1147 |
| 2 | 2 | 1061 |
| 3 | 3 | 2184 |
| 4 | 4 | 5979 |
| 5 | 5 | 9441 |
| 6 | 6 | 12063 |
| 7 | 7, Very important | 16493 |
| 8 | Can't choose | 959 |
| 9 | No answer | 480 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48368 | 1439 |
Valid range from 1 to 7
V11 Q7 Good citizen: choose products for political or environmental reasons
| Value 13377 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 4733 |
| 2 | 2 | 3186 |
| 3 | 3 | 4443 |
| 4 | 4 | 8363 |
| 5 | 5 | 9942 |
| 6 | 6 | 8507 |
| 7 | 7, Very important | 8222 |
| 8 | Can't choose | 1896 |
| 9 | No answer | 515 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47396 | 2411 |
Valid range from 1 to 7
V12 Q8 Good citizen: help less privileged people in (COUNTRY)
| Value 14376 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 921 |
| 2 | 2 | 1081 |
| 3 | 3 | 2156 |
| 4 | 4 | 5932 |
| 5 | 5 | 9431 |
| 6 | 6 | 11385 |
| 7 | 7, Very important | 17694 |
| 8 | Can't choose | 846 |
| 9 | No answer | 361 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48600 | 1207 |
Valid range from 1 to 7
V13 Q9 Good citizen: help less privileged people in the rest of world
| Value 15375 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 2870 |
| 2 | 2 | 3108 |
| 3 | 3 | 4759 |
| 4 | 4 | 8266 |
| 5 | 5 | 9430 |
| 6 | 6 | 8354 |
| 7 | 7, Very important | 11331 |
| 8 | Can't choose | 1280 |
| 9 | No answer | 409 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48118 | 1689 |
Valid range from 1 to 7
V14 Q10 Allow public meetings - religious extremists
| Value 16374 | Frequency | |
|---|---|---|
| 1 | Should definitely be allowed | 4566 |
| 2 | Should probably be allowed | 8681 |
| 3 | Should probably not be allowed | 11118 |
| 4 | Should definitely not be allowed | 21229 |
| 8 | Can't choose | 3682 |
| 9 | No answer | 531 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45594 | 4213 |
Valid range from 1 to 4
V15 Q11 Allow public meetings - people overthrow government
| Value 17373 | Frequency | |
|---|---|---|
| 1 | Should definitely be allowed | 2890 |
| 2 | Should probably be allowed | 5672 |
| 3 | Should probably not be allowed | 10384 |
| 4 | Should definitely not be allowed | 27387 |
| 8 | Can't choose | 3008 |
| 9 | No answer | 466 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46333 | 3474 |
Valid range from 1 to 4
V16 Q12 Allow public meetings - racist people
| Value 18372 | Frequency | |
|---|---|---|
| 1 | Should definitely be allowed | 2718 |
| 2 | Should probably be allowed | 6411 |
| 3 | Should probably not be allowed | 12038 |
| 4 | Should definitely not be allowed | 25232 |
| 8 | Can't choose | 2949 |
| 9 | No answer | 459 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46399 | 3408 |
Valid range from 1 to 4
V17 Q13 Political actions: sign a petition
| Value 19371 | Frequency | |
|---|---|---|
| 1 | Have done it in the past year | 9752 |
| 2 | Have done it in the more distant past | 11756 |
| 3 | Have not done it but might do it | 11887 |
| 4 | Have not done it and would never do it | 14575 |
| 8 | Can't choose | 1446 |
| 9 | No answer | 391 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47970 | 1837 |
Valid range from 1 to 4
V18 Q14 Political actions: boycott certain products
| Value 20370 | Frequency | |
|---|---|---|
| 1 | Have done it in the past year | 8981 |
| 2 | Have done it in the more distant past | 5199 |
| 3 | Have not done it but might do it | 12978 |
| 4 | Have not done it and would never do it | 20000 |
| 8 | Can't choose | 2098 |
| 9 | No answer | 551 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47158 | 2649 |
Valid range from 1 to 4
V19 Q15 Political actions: take part in a demonstration
| Value 21369 | Frequency | |
|---|---|---|
| 1 | Have done it in the past year | 2747 |
| 2 | Have done it in the more distant past | 7931 |
| 3 | Have not done it but might do it | 14066 |
| 4 | Have not done it and would never do it | 23617 |
| 8 | Can't choose | 1001 |
| 9 | No answer | 445 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48361 | 1446 |
Valid range from 1 to 4
V20 Q16 Political actions: attend political meeting or rally
| Value 22368 | Frequency | |
|---|---|---|
| 1 | Have done it in the past year | 3736 |
| 2 | Have done it in the more distant past | 8298 |
| 3 | Have not done it but might do it | 13410 |
| 4 | Have not done it and would never do it | 22797 |
| 8 | Can't choose | 1107 |
| 9 | No answer | 459 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48241 | 1566 |
Valid range from 1 to 4
V21 Q17 Political actions: contact a politician
| Value 23367 | Frequency | |
|---|---|---|
| 1 | Have done it in the past year | 3627 |
| 2 | Have done it in the more distant past | 5031 |
| 3 | Have not done it but might do it | 16635 |
| 4 | Have not done it and would never do it | 23000 |
| 8 | Can't choose | 1079 |
| 9 | No answer | 435 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48293 | 1514 |
Valid range from 1 to 4
V22 Q18 Political actions: donate money or raise funds
| Value 24366 | Frequency | |
|---|---|---|
| 1 | Have done it in the past year | 8344 |
| 2 | Have done it in the more distant past | 7082 |
| 3 | Have not done it but might do it | 11355 |
| 4 | Have not done it and would never do it | 21321 |
| 8 | Can't choose | 1258 |
| 9 | No answer | 447 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48102 | 1705 |
Valid range from 1 to 4
V23 Q19 Political actions: contact media
| Value 25365 | Frequency | |
|---|---|---|
| 1 | Have done it in the past year | 1759 |
| 2 | Have done it in the more distant past | 3074 |
| 3 | Have not done it but might do it | 15044 |
| 4 | Have not done it and would never do it | 28409 |
| 8 | Can't choose | 1117 |
| 9 | No answer | 404 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48286 | 1521 |
Valid range from 1 to 4
V24 Q20 Political actions: express views on the internet
| Value 26364 | Frequency | |
|---|---|---|
| 1 | Have done it in the past year | 3447 |
| 2 | Have done it in the more distant past | 2235 |
| 3 | Have not done it but might do it | 11105 |
| 4 | Have not done it and would never do it | 31258 |
| 8 | Can't choose | 1355 |
| 9 | No answer | 407 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48045 | 1762 |
Valid range from 1 to 4
V25 Q21 Frequency using media to get political news or information
| Value 27363 | Frequency | |
|---|---|---|
| 1 | Several times a day | 20093 |
| 2 | Once a day | 13725 |
| 3 | 5-6 days a week | 3068 |
| 4 | 3-4 days a week | 3024 |
| 5 | 1-2 days a week | 3048 |
| 6 | Less than 1 day a week | 3090 |
| 7 | Never | 2989 |
| 8 | Can't choose | 446 |
| 9 | No answer | 324 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49037 | 770 |
Valid range from 1 to 7
V26 Q22 Contact on one-to-one basis with how many people in a typical week day
| Value 28362 | Frequency | |
|---|---|---|
| 1 | 0-4 persons | 10775 |
| 2 | 5-9 persons | 14334 |
| 3 | 10-19 persons | 12405 |
| 4 | 20-49 persons | 7522 |
| 5 | 50 persons or more | 3510 |
| 8 | Can't choose | 958 |
| 9 | No answer | 303 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48546 | 1261 |
Valid range from 1 to 5
V27 Q23 Status of belonging to: political party
| Value 29361 | Frequency | |
|---|---|---|
| 1 | Belong and actively participate | 1841 |
| 2 | Belong but don't actively participate | 3639 |
| 3 | Used to belong but do not any more | 4101 |
| 4 | Never belonged to it | 39063 |
| 8 | Can't choose | 496 |
| 9 | No answer | 667 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48644 | 1163 |
Valid range from 1 to 4
V28 Q24 Status of belonging to: trade union etc.
| Value 30360 | Frequency | |
|---|---|---|
| 1 | Belong and actively participate | 2837 |
| 2 | Belong but don't actively participate | 7818 |
| 3 | Used to belong but do not any more | 9456 |
| 4 | Never belonged to it | 28503 |
| 8 | Can't choose | 510 |
| 9 | No answer | 683 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48614 | 1193 |
Valid range from 1 to 4
V29 Q25 Status of belonging to: church or other religious organization
| Value 31359 | Frequency | |
|---|---|---|
| 1 | Belong and actively participate | 7347 |
| 2 | Belong but don't actively participate | 10949 |
| 3 | Used to belong but do not any more | 5264 |
| 4 | Never belonged to it | 24876 |
| 8 | Can't choose | 671 |
| 9 | No answer | 700 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48436 | 1371 |
Valid range from 1 to 4
V30 Q26 Status of belonging to: sports group etc.
| Value 32358 | Frequency | |
|---|---|---|
| 1 | Belong and actively participate | 9593 |
| 2 | Belong but don't actively participate | 4419 |
| 3 | Used to belong but do not any more | 11787 |
| 4 | Never belonged to it | 22826 |
| 8 | Can't choose | 567 |
| 9 | No answer | 615 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48625 | 1182 |
Valid range from 1 to 4
V31 Q27 Status of belonging to: another voluntary association
| Value 33357 | Frequency | |
|---|---|---|
| 1 | Belong and actively participate | 5532 |
| 2 | Belong but don't actively participate | 3257 |
| 3 | Used to belong but do not any more | 6882 |
| 4 | Never belonged to it | 31071 |
| 8 | Can't choose | 2000 |
| 9 | No answer | 1065 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46742 | 3065 |
Valid range from 1 to 4
V32 Q28 Rights in democracy: adequate standard of living for all
| Value 34356 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 404 |
| 2 | 2 | 378 |
| 3 | 3 | 782 |
| 4 | 4 | 2294 |
| 5 | 5 | 4996 |
| 6 | 6 | 8699 |
| 7 | 7, Very important | 31315 |
| 8 | Can't choose | 602 |
| 9 | No answer | 337 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48868 | 939 |
Valid range from 1 to 7
V33 Q29 Rights in democracy: government authorities respect minorities
| Value 35355 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 752 |
| 2 | 2 | 708 |
| 3 | 3 | 1356 |
| 4 | 4 | 3664 |
| 5 | 5 | 6238 |
| 6 | 6 | 9768 |
| 7 | 7, Very important | 25494 |
| 8 | Can't choose | 1377 |
| 9 | No answer | 450 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47980 | 1827 |
Valid range from 1 to 7
V34 Q30 Rights in democracy: people participate in public decision-making
| Value 36354 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 565 |
| 2 | 2 | 591 |
| 3 | 3 | 1348 |
| 4 | 4 | 4338 |
| 5 | 5 | 8303 |
| 6 | 6 | 11245 |
| 7 | 7, Very important | 21374 |
| 8 | Can't choose | 1511 |
| 9 | No answer | 532 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47764 | 2043 |
Valid range from 1 to 7
V35 Q31 Rights in democracy: acts of civil disobedience
| Value 37353 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 4419 |
| 2 | 2 | 2819 |
| 3 | 3 | 3626 |
| 4 | 4 | 6964 |
| 5 | 5 | 8251 |
| 6 | 6 | 7846 |
| 7 | 7, Very important | 11479 |
| 8 | Can't choose | 3721 |
| 9 | No answer | 682 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45404 | 4403 |
Valid range from 1 to 7
V36 Q32 Rights in democracy: respect of democratic rights by government
| Value 38352 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 515 |
| 2 | 2 | 500 |
| 3 | 3 | 1072 |
| 4 | 4 | 3517 |
| 5 | 5 | 5890 |
| 6 | 6 | 9794 |
| 7 | 7, Very important | 25989 |
| 8 | Can't choose | 1999 |
| 9 | No answer | 531 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47277 | 2530 |
Valid range from 1 to 7
V37 Q33 Rights in democracy: people convicted of serious crimes lose citizen rights
| Value 39351 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 4270 |
| 2 | 2 | 2681 |
| 3 | 3 | 3253 |
| 4 | 4 | 5872 |
| 5 | 5 | 6137 |
| 6 | 6 | 7189 |
| 7 | 7, Very important | 15271 |
| 8 | Can't choose | 4424 |
| 9 | No answer | 710 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44673 | 5134 |
Valid range from 1 to 7
V38 Q34 Rights in democracy: long-term residents have right to vote at national elections
| Value 40350 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 9796 |
| 2 | 2 | 3915 |
| 3 | 3 | 3777 |
| 4 | 4 | 6324 |
| 5 | 5 | 6724 |
| 6 | 6 | 6467 |
| 7 | 7, Very important | 8719 |
| 8 | Can't choose | 3496 |
| 9 | No answer | 589 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45722 | 4085 |
Valid range from 1 to 7
V39 Q35 Rights in democracy: right for citizens NOT to vote
| Value 41349 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 6118 |
| 2 | 2 | 2519 |
| 3 | 3 | 2765 |
| 4 | 4 | 6110 |
| 5 | 5 | 6001 |
| 6 | 6 | 7005 |
| 7 | 7, Very important | 15330 |
| 8 | Can't choose | 3342 |
| 9 | No answer | 617 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45848 | 3959 |
Valid range from 1 to 7
V40 Q36 Rights in democracy: health care be provided for everyone
| Value 42348 | Frequency | |
|---|---|---|
| 1 | 1, Not at all important | 730 |
| 2 | 2 | 438 |
| 3 | 3 | 636 |
| 4 | 4 | 1802 |
| 5 | 5 | 2786 |
| 6 | 6 | 5898 |
| 7 | 7, Very important | 36385 |
| 8 | Can't choose | 756 |
| 9 | No answer | 376 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48675 | 1132 |
Valid range from 1 to 7
V41 Q37 Agree: no influence on what government does
| Value 43347 | Frequency | |
|---|---|---|
| 1 | Strongly agree (JP: Think so, VE: Agree) | 9543 |
| 2 | Agree (JP: Rather think so, VE: Somewhat agree) | 13110 |
| 3 | Neither agree nor disagree (JP: Can't say one way or the oth | 8167 |
| 4 | Disagree (JP: Rather don't think so, VE: Somewhat disagree) | 10524 |
| 5 | Strongly disagree (JP: Don't think so, VE: Disagree) | 6706 |
| 8 | Can't choose | 1252 |
| 9 | No answer | 505 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48050 | 1757 |
Valid range from 1 to 5
V42 Q38 Agree: government does not care what people like me think
| Value 44346 | Frequency | |
|---|---|---|
| 1 | Strongly agree (JP: Think so, VE: Agree) | 11651 |
| 2 | Agree (JP: Rather think so, VE: Somewhat agree) | 15650 |
| 3 | Neither agree nor disagree (JP: Can't say one way or the oth | 8584 |
| 4 | Disagree (JP: Rather don't think so, VE: Somewhat disagree) | 9220 |
| 5 | Strongly disagree (JP: Don't think so, VE: Disagree) | 2985 |
| 8 | Can't choose | 1213 |
| 9 | No answer | 504 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48090 | 1717 |
Valid range from 1 to 5
V43 Q39 Agree: good understanding of important political issues
| Value 45345 | Frequency | |
|---|---|---|
| 1 | Strongly agree (JP: Think so, VE: Agree) | 6528 |
| 2 | Agree (JP: Rather think so, VE: Somewhat agree) | 18739 |
| 3 | Neither agree nor disagree (JP: Can't say one way or the oth | 12193 |
| 4 | Disagree (JP: Rather don't think so, VE: Somewhat disagree) | 7096 |
| 5 | Strongly disagree (JP: Don't think so, VE: Disagree) | 2768 |
| 8 | Can't choose | 1932 |
| 9 | No answer | 551 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47324 | 2483 |
Valid range from 1 to 5
V44 Q40 Agree: most people better informed than I am
| Value 46344 | Frequency | |
|---|---|---|
| 1 | Strongly agree (JP: Think so, VE: Agree) | 4586 |
| 2 | Agree (JP: Rather think so, VE: Somewhat agree) | 11079 |
| 3 | Neither agree nor disagree (JP: Can't say one way or the oth | 13956 |
| 4 | Disagree (JP: Rather don't think so, VE: Somewhat disagree) | 12808 |
| 5 | Strongly disagree (JP: Don't think so, VE: Disagree) | 4483 |
| 8 | Can't choose | 2322 |
| 9 | No answer | 573 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46912 | 2895 |
Valid range from 1 to 5
V45 Q41 Unjust law: likeliness of counter-action
| Value 47343 | Frequency | |
|---|---|---|
| 1 | Very likely | 4563 |
| 2 | Fairly likely | 11948 |
| 3 | Not very likely | 17753 |
| 4 | Not at all likely | 12112 |
| 8 | Can't choose | 2862 |
| 9 | No answer | 569 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46376 | 3431 |
Valid range from 1 to 4
V46 Q42 Unjust law: likeliness serious attention
| Value 48342 | Frequency | |
|---|---|---|
| 1 | Very likely | 1896 |
| 2 | Fairly likely | 7607 |
| 3 | Not very likely | 19230 |
| 4 | Not at all likely | 15374 |
| 8 | Can't choose | 3355 |
| 9 | No answer, PL: NA incl. not applicable (code 3,4,8 in V45) | 2345 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44107 | 5700 |
Valid range from 1 to 4
V47 Q43 Level of personal interest in politics
| Value 49341 | Frequency | |
|---|---|---|
| 1 | Very interested | 5036 |
| 2 | Fairly interested | 18221 |
| 3 | Not very interested | 16890 |
| 4 | Not at all interested | 8386 |
| 8 | Can't choose | 735 |
| 9 | No answer | 539 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48533 | 1274 |
Valid range from 1 to 4
V48 Q44 Political self-placement: Left - Right
| Value 50340 | Frequency | |
|---|---|---|
| 0 | 0, Left | 1557 |
| 1 | 1 | 1181 |
| 2 | 2 | 2513 |
| 3 | 3 | 3682 |
| 4 | 4 | 3529 |
| 5 | 5 | 12295 |
| 6 | 6 | 4010 |
| 7 | 7 | 4320 |
| 8 | 8 | 3763 |
| 9 | 9 | 1504 |
| 10 | 10, Right | 2451 |
| 98 | Can't choose, CL: don't know | 7629 |
| 99 | No answer | 1373 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40805 | 9002 |
Valid range from 0 to 10
V49 Q45 Agree: most of the time we can trust people in government
| Value 51339 | Frequency | |
|---|---|---|
| 1 | Strongly agree (JP: I think so) | 2092 |
| 2 | Agree (JP: I rather think so) | 11665 |
| 3 | Neither agree nor disagree (JP: Can't say one way or the oth | 13877 |
| 4 | Disagree (JP: I rather don't think so) | 13605 |
| 5 | Strongly disagree (JP: I don't think so) | 6553 |
| 8 | Can't choose | 1471 |
| 9 | No answer | 544 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47792 | 2015 |
Valid range from 1 to 5
V50 Q46 Agree: politicians in politics only for personal profit
| Value 52338 | Frequency | |
|---|---|---|
| 1 | Strongly agree (JP: I think so) | 11492 |
| 2 | Agree (JP: I rather think so) | 15883 |
| 3 | Neither agree nor disagree (JP: Can't say one way or the oth | 10983 |
| 4 | Disagree (JP: I rather don't think so) | 7503 |
| 5 | Strongly disagree (JP: I don't think so) | 1692 |
| 8 | Can't choose | 1672 |
| 9 | No answer | 582 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47553 | 2254 |
Valid range from 1 to 5
V51 Q47 How often people try to take advantage and how often try to be fair?
| Value 53337 | Frequency | |
|---|---|---|
| 1 | Try to take advantage almost all of the time (VE: always) | 4211 |
| 2 | Try to take advantage most of the time (VE: almost always) | 13653 |
| 3 | Try to be fair most of the time (VE: almost never) | 22010 |
| 4 | Try to be fair almost all of the time (VE: never) | 4932 |
| 8 | Can't choose | 4422 |
| 9 | No answer | 579 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44806 | 5001 |
Valid range from 1 to 4
V52 Q48 People can be trusted or can't be too careful in dealing with?
| Value 54336 | Frequency | |
|---|---|---|
| 1 | People can almost always be trusted (VE: always) | 1993 |
| 2 | People can usually be trusted (VE: almost always) | 18484 |
| 3 | You usually can't be too careful in dealing with people (VE: | 20192 |
| 4 | You almost always can't be too careful in dealing with peopl | 7366 |
| 8 | Can't choose | 1345 |
| 9 | No answer | 427 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48035 | 1772 |
Valid range from 1 to 4
V53 Q49 Frequency: political discussion with friends
| Value 55335 | Frequency | |
|---|---|---|
| 1 | Often (VE: always) | 5635 |
| 2 | Sometimes (VE: almost always) | 18142 |
| 3 | Rarely (VE: almost never) | 16404 |
| 4 | Never | 8843 |
| 8 | Can't choose | 366 |
| 9 | No answer | 417 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49024 | 783 |
Valid range from 1 to 4
V54 Q50 Frequency: persuade friends to share political views
| Value 56334 | Frequency | |
|---|---|---|
| 1 | Often (VE: always) | 3087 |
| 2 | Sometimes (VE: almost always) | 12487 |
| 3 | Rarely (VE: almost never) | 16079 |
| 4 | Never | 16768 |
| 8 | Can't choose | 877 |
| 9 | No answer | 509 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48421 | 1386 |
Valid range from 1 to 4
V55 Q51 Political parties - encourage people to become active
| Value 57333 | Frequency | |
|---|---|---|
| 1 | Strongly agree (JP: I think so) | 3114 |
| 2 | Agree (JP: I rather think so) | 12702 |
| 3 | Neither agree nor disagree (JP: Can't say one way or the oth | 13613 |
| 4 | Disagree (JP: I rather don't think so) | 11727 |
| 5 | Strongly disagree (JP: I don't think so) | 3929 |
| 8 | Can't choose | 3879 |
| 9 | No answer | 843 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45085 | 4722 |
Valid range from 1 to 5
V56 Q52 Political parties - not give real policy choices
| Value 58332 | Frequency | |
|---|---|---|
| 1 | Strongly agree (JP: I think so) | 6031 |
| 2 | Agree (JP: I rather think so) | 16371 |
| 3 | Neither agree nor disagree (JP: Can't say one way or the oth | 12788 |
| 4 | Disagree (JP: I rather don't think so) | 7710 |
| 5 | Strongly disagree (JP: I don't think so) | 1702 |
| 8 | Can't choose | 4321 |
| 9 | No answer | 884 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44602 | 5205 |
Valid range from 1 to 5
V57 Q53 Referendum - a good way to decide political questions
| Value 59331 | Frequency | |
|---|---|---|
| 1 | Strongly agree (JP: I think so) | 11667 |
| 2 | Agree (JP: I rather think so) | 18579 |
| 3 | Neither agree nor disagree (JP: Can't say one way or the oth | 9637 |
| 4 | Disagree (JP: I rather don't think so) | 4139 |
| 5 | Strongly disagree (JP: I don't think so) | 1569 |
| 8 | Can't choose | 3395 |
| 9 | No answer | 821 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45591 | 4216 |
Valid range from 1 to 5
V58 Q54 Last national election: level of honesty
| Value 60330 | Frequency | |
|---|---|---|
| 1 | Very honest (HR: very fair) | 13344 |
| 2 | Somewhat honest (HR: somewhat fair) | 15616 |
| 3 | Neither honest nor dishonest (HR: neither fair nor unfair) | 7332 |
| 4 | Somewhat dishonest (HR: somewhat unfair) | 3773 |
| 5 | Very dishonest (HR: very unfair) | 1574 |
| 8 | Can't choose | 7345 |
| 9 | No answer | 823 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41639 | 8168 |
Valid range from 1 to 5
V59 Q55 Last national election: level of fairness
| Value 61329 | Frequency | |
|---|---|---|
| 1 | Very fair | 7010 |
| 2 | Somewhat fair | 16333 |
| 3 | Neither fair nor unfair | 9982 |
| 4 | Somewhat unfair | 5528 |
| 5 | Very unfair | 2440 |
| 8 | Can't choose | 7677 |
| 9 | No answer | 837 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41293 | 8514 |
Valid range from 1 to 5
V60 Q56 Public service: commitment to serve people
| Value 62328 | Frequency | |
|---|---|---|
| 1 | Very committed | 4989 |
| 2 | Somewhat committed | 20388 |
| 3 | Not very committed | 15429 |
| 4 | Not at all committed | 4328 |
| 0 | Not available (HU) | 1007 |
| 8 | Can't choose | 2954 |
| 9 | No answer | 712 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45134 | 4673 |
Valid range from 1 to 4
V61 Q57 Public service: involvement in corruption
| Value 63327 | Frequency | |
|---|---|---|
| 1 | Hardly anyone is involved | 2860 |
| 2 | A small number is involved | 12446 |
| 3 | A moderate number is involved | 13451 |
| 4 | A lot of people are involved | 11692 |
| 5 | Almost everyone is involved | 4447 |
| 8 | Can't choose | 4193 |
| 9 | No answer | 718 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44896 | 4911 |
Valid range from 1 to 5
V62 Q58 Democracy in [COUNTRY]: today
| Value 64326 | Frequency | |
|---|---|---|
| 0 | 00, Very poorly | 2282 |
| 1 | 01 | 1394 |
| 2 | 02 | 2162 |
| 3 | 03 | 3556 |
| 4 | 04 | 3627 |
| 5 | 05 | 8849 |
| 6 | 06 | 5762 |
| 7 | 07 | 7193 |
| 8 | 08 | 6584 |
| 9 | 09 | 2944 |
| 10 | 10, Very well | 2437 |
| 98 | Can't choose | 2446 |
| 99 | No answer | 571 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46790 | 3017 |
Valid range from 0 to 10
V63 Q59 Democracy in [COUNTRY]: 10 years ago
| Value 65325 | Frequency | |
|---|---|---|
| 0 | 00, Very poorly | 2037 |
| 1 | 01 | 1402 |
| 2 | 02 | 2231 |
| 3 | 03 | 3393 |
| 4 | 04 | 3856 |
| 5 | 05 | 7586 |
| 6 | 06 | 4976 |
| 7 | 07 | 6126 |
| 8 | 08 | 6217 |
| 9 | 09 | 3141 |
| 10 | 10, Very well | 2586 |
| 98 | Can't choose | 5521 |
| 99 | No answer | 735 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43551 | 6256 |
Valid range from 0 to 10
V64 Q60 Democracy in [COUNTRY]: 10 years from now
| Value 66324 | Frequency | |
|---|---|---|
| 0 | 00, Very poorly | 2601 |
| 1 | 01 | 1542 |
| 2 | 02 | 2086 |
| 3 | 03 | 2577 |
| 4 | 04 | 2618 |
| 5 | 05 | 5902 |
| 6 | 06 | 4160 |
| 7 | 07 | 5370 |
| 8 | 08 | 6132 |
| 9 | 09 | 3891 |
| 10 | 10, Very well | 3270 |
| 98 | Can't choose | 8762 |
| 99 | No answer | 896 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40149 | 9658 |
Valid range from 0 to 10
V65 Q61 Frequency: read political content of a newspaper
| Value 67323 | Frequency | |
|---|---|---|
| 1 | Several times a day | 2022 |
| 2 | Once a day | 6557 |
| 3 | 5-6 days a week | 1590 |
| 4 | 3-4 days a week | 2475 |
| 5 | 1-2 days a week | 4530 |
| 6 | Less than 1 day a week | 6193 |
| 7 | Never | 9220 |
| 0 | NAV (AT,DE,HR,IL,NO,SE,SI,SK,US,VE,ZA); CZ: answer categorie | 16408 |
| 8 | Can't choose | 415 |
| 9 | No answer | 397 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 32587 | 17220 |
Valid range from 1 to 7
CZ_V65 Q61 Frequency: read political content of a newspaper
| Value 68322 | Frequency | |
|---|---|---|
| 1 | Daily | 262 |
| 2 | 3-4 times a week | 190 |
| 3 | 1-2 times a week | 264 |
| 4 | Less than 1-2 times a week | 308 |
| 5 | Never | 507 |
| 0 | NAP: other countries | 48275 |
| 8 | Can't choose | 0 |
| 9 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1531 | 48276 |
Valid range from 1 to 5
V66 Q62 Frequency: watch political news on TV
| Value 69321 | Frequency | |
|---|---|---|
| 1 | Several times a day | 6594 |
| 2 | Once a day | 10255 |
| 3 | 5-6 days a week | 2439 |
| 4 | 3-4 days a week | 3013 |
| 5 | 1-2 days a week | 3793 |
| 6 | Less than 1 day a week | 3618 |
| 7 | Never | 3055 |
| 0 | NAV (AT,DE,HR,IL,NO,SE,SI,SK,US,VE,ZA); CZ: answer categorie | 16408 |
| 8 | Can't choose | 300 |
| 9 | No answer | 332 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 32767 | 17040 |
Valid range from 1 to 7
CZ_V66 Q62 Frequency: watch political news on TV
| Value 70320 | Frequency | |
|---|---|---|
| 1 | Daily | 841 |
| 2 | 3-4 times a week | 246 |
| 3 | 1-2 times a week | 171 |
| 4 | Less than 1-2 times a week | 160 |
| 5 | Never | 110 |
| 0 | NAP: other countries | 48275 |
| 8 | Can't choose | 2 |
| 9 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1528 | 48279 |
Valid range from 1 to 5
V67 Q63 Frequency: listen to political news on radio
| Value 71319 | Frequency | |
|---|---|---|
| 1 | Several times a day | 3168 |
| 2 | Once a day | 4316 |
| 3 | 5-6 days a week | 1659 |
| 4 | 3-4 days a week | 2151 |
| 5 | 1-2 days a week | 3066 |
| 6 | Less than 1 day a week | 5000 |
| 7 | Never | 13155 |
| 0 | NAV (AT,DE,HR,IL,NO,SE,SI,SK,US,VE,ZA); CZ: answer categorie | 16408 |
| 8 | Can't choose | 479 |
| 9 | No answer | 405 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 32515 | 17292 |
Valid range from 1 to 7
CZ_V67 Q63 Frequency: listen to political news on radio
| Value 72318 | Frequency | |
|---|---|---|
| 1 | Daily | 393 |
| 2 | 3-4 times a week | 179 |
| 3 | 1-2 times a week | 162 |
| 4 | Less than 1-2 times a week | 288 |
| 5 | Never | 509 |
| 0 | NAP: other countries | 48275 |
| 8 | Can't choose | 0 |
| 9 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1531 | 48276 |
Valid range from 1 to 5
V68 Q64 Frequency: use Internet to get political news
| Value 73317 | Frequency | |
|---|---|---|
| 1 | Several times a day | 3466 |
| 2 | Once a day | 3318 |
| 3 | 5-6 days a week | 1195 |
| 4 | 3-4 days a week | 1775 |
| 5 | 1-2 days a week | 2425 |
| 6 | Less than 1 day a week | 3686 |
| 7 | Never | 14740 |
| 0 | NAV (AT,DE,DK,HR,IL,NO,SE,SI,SK,US,VE,ZA); CZ: answer catego | 18166 |
| 8 | Can't choose | 622 |
| 9 | No answer | 414 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 30605 | 19202 |
Valid range from 1 to 7
CZ_V68 Q64 Frequency: use Internet to get political news
| Value 74316 | Frequency | |
|---|---|---|
| 1 | Daily | 460 |
| 2 | 3-4 times a week | 151 |
| 3 | 1-2 times a week | 153 |
| 4 | Less than 1-2 times a week | 160 |
| 5 | Never | 606 |
| 0 | NAP: other countries | 48275 |
| 8 | Can't choose | 2 |
| 9 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1530 | 48277 |
Valid range from 1 to 5
SEX Sex of Respondent
| Value 75315 | Frequency | |
|---|---|---|
| 1 | Male | 23224 |
| 2 | Female | 26559 |
| 9 | No answer | 24 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49783 | 24 |
Valid range from 1 to 2
BIRTH Year of birth
| Value 76314 | Frequency | |
|---|---|---|
| 1913 | 1913 | 2 |
| 2000 | 2000 | 2 |
| 9999 | No answer | 204 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49603 | 204 | 1913 | 2000 |
Valid range from 1913 to 2000
AGE Age of respondent
| Value 77313 | Frequency | |
|---|---|---|
| 15 | 15 years | 18 |
| 102 | 102 years | 1 |
| 999 | No answer | 138 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49669 | 138 | 15 | 102 |
Valid range from 15 to 102
EDUCYRS Education I: years of schooling
| Value 78312 | Frequency | |
|---|---|---|
| 0 | No formal schooling, no years at school | 679 |
| 1 | 1 year | 95 |
| 83 | 83 years | 1 |
| 95 | GB: still at school | 1 |
| 96 | GB: still at college/ university | 26 |
| 97 | Not available (HU) | 1007 |
| 98 | Don't know | 332 |
| 99 | No answer; NL: NA, above 30 years at school | 889 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47579 | 2228 | 0 | 96 |
Valid range from 0 to 96
AT_DEGR Country specific highest completed degree of education: Austria
| Value 79311 | Frequency | |
|---|---|---|
| 2 | Compulsory school finished, primary completed, 'Hauptschule' | 106 |
| 3 | Apprenticeship completed | 402 |
| 4 | Middle school, vocational | 150 |
| 5 | Secondary completed, general higher school, Matura | 65 |
| 6 | Higher professional school, BHS | 116 |
| 7 | Bachelor Degree, Bachelor at university of applied sciences/ | 61 |
| 8 | Master Degree (university of applied sciences and university | 93 |
| 0 | NAP, other countries | 48774 |
| 99 | No answer | 40 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 993 | 48814 |
Valid range from 2 to 8
AU_DEGR Country specific highest completed degree of education: Australia
| Value 80310 | Frequency | |
|---|---|---|
| 1 | Did not complete High School to Year 10 | 60 |
| 2 | Completed High School to Year 10 | 273 |
| 3 | Completed High School to Year 12 | 118 |
| 5 | Certificate or Diploma (TAFE or business college) | 483 |
| 6 | Bachelor Degree (including Honors) | 220 |
| 7 | Postgraduate Degree or Postgraduate Diploma | 239 |
| 0 | NAP, other countries | 48375 |
| 99 | No answer | 39 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1393 | 48414 | 1 | 7 |
Valid range from 1 to 7
BE_DEGR Country specific highest completed degree of education: Belgium
| Value 81309 | Frequency | |
|---|---|---|
| 1 | None | 46 |
| 2 | Primary education | 114 |
| 3 | Lower general secondary | 196 |
| 4 | Lower technical art secondary | 97 |
| 5 | Lower vocational secondary | 98 |
| 6 | Higher general secondary | 256 |
| 7 | Higher technical art secondary | 213 |
| 8 | Higher vocational secondary | 116 |
| 9 | 7th year vocational secondary education | 59 |
| 10 | 7th year general technical art secondary education | 25 |
| 11 | Higher vocational education | 45 |
| 12 | Professional, Bachelor non-university, Bachelor university | 531 |
| 13 | University (master, licentiate, engineer, doctor) | 446 |
| 0 | NAP, other countries | 47543 |
| 99 | No answer | 22 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2242 | 47565 |
Valid range from 1 to 13
CH_DEGR Country specific highest completed degree of education: Switzerland
| Value 82308 | Frequency | |
|---|---|---|
| 1 | Incomplete primary education | 4 |
| 2 | Primary school (4 to 6 years of schooling) | 25 |
| 3 | Secondary education (first stage-including primary school wi | 121 |
| 4 | Additional year of secondary education, preparation for voca | 33 |
| 5 | Elementary vocational training (enterprise and school, 1-2 y | 49 |
| 6 | Apprenticeship (vocational training, dual system, 3-4 years) | 412 |
| 7 | General training school (2-3 years) | 38 |
| 8 | Vocational baccalaureate | 32 |
| 9 | Diploma for teaching primary school or pre-primary school | 28 |
| 10 | Baccalaureate preparing for university | 41 |
| 11 | Second vocational training (or apprenticeship as second educ | 32 |
| 12 | Vocational baccalaureate for adults | 0 |
| 13 | Baccalaureate for adults or apprenticeship after Baccalaurea | 11 |
| 14 | Advanced vocational qualification - specialization exam, fed | 47 |
| 15 | Higher vocational training - diploma of a high school - tech | 64 |
| 16 | Higher vocational training - diploma of specific high school | 52 |
| 17 | Applied science and pedagogical university - Bachelor | 58 |
| 18 | Applied science and pedagogical university - Master | 42 |
| 19 | University diploma - intermediary level | 6 |
| 20 | University (including technical) - Bachelor and short degree | 24 |
| 21 | University (including technical) - requiring more than 4 yea | 18 |
| 22 | University (including technical) - Master | 70 |
| 23 | Doctoral degree | 25 |
| 0 | NAP, other countries | 48572 |
| 99 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1232 | 48575 |
Valid range from 1 to 23
CL_DEGR Country specific highest completed degree of education: Chile
| Value 83307 | Frequency | |
|---|---|---|
| 1 | None, no formal education | 29 |
| 2 | Incomplete primary | 244 |
| 3 | Primary completed | 174 |
| 4 | Incomplete secondary | 173 |
| 5 | Secondary completed | 395 |
| 6 | Incomplete non-university higher education | 48 |
| 7 | Completed non-university higher education | 130 |
| 8 | Incomplete University | 74 |
| 9 | University completed | 112 |
| 10 | Master, Ph.D. | 26 |
| 0 | NAP, other countries | 48375 |
| 99 | No answer | 27 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1405 | 48402 |
Valid range from 1 to 10
CZ_DEGR Country specific highest completed degree of education: Czech Republic
| Value 84306 | Frequency | |
|---|---|---|
| 1 | Incomplete primary | 2 |
| 2 | Primary completed | 138 |
| 3 | Lower vocational, no diploma | 361 |
| 4 | General secondary, no diploma | 143 |
| 5 | Vocational with diploma | 84 |
| 6 | Technical secondary | 393 |
| 7 | Academic secondary | 92 |
| 8 | Post secondary | 48 |
| 9 | Tertiary, Bachelor degree | 55 |
| 10 | Tertiary, Master degree | 194 |
| 11 | Post-graduate education | 19 |
| 0 | NAP, other countries | 48275 |
| 99 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1529 | 48278 |
Valid range from 1 to 11
DE_DEGR Country specific highest completed degree of education: Germany
| Value 85305 | Frequency | |
|---|---|---|
| 1 | Still at school: < 7 years of schooling | 1 |
| 2 | Still at school: >= 7 years of schooling | 6 |
| 3 | Left school without certificate | 23 |
| 4 | Lower secondary (Hauptschule) | 90 |
| 5 | Middle school (mittlere Reife) | 49 |
| 6 | Secondary, technical (Fachhochschulreife) | 11 |
| 7 | Higher secondary (Abitur) | 68 |
| 8 | Vocational training, degree from German dual system | 931 |
| 9 | Vocational training, master craftsmen (Meister) | 118 |
| 10 | University of applied sciences (Fachhochschule): bachelor | 15 |
| 11 | University: bachelor | 20 |
| 12 | University of applied sciences (Fachhochschule): master or o | 116 |
| 13 | University: master or other degree | 227 |
| 14 | Doctorate | 38 |
| 98 | Other qualification | 5 |
| 0 | NAP, other countries | 48089 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1718 | 48089 |
Valid range from 1 to 98
DK_DEGR Country specific highest completed degree of education: Denmark
| Value 86304 | Frequency | |
|---|---|---|
| 1 | 7 years primary school or shorter | 30 |
| 2 | 8 years primary school | 14 |
| 3 | 9 years primary school | 37 |
| 4 | Secondary, 10 years or similar | 51 |
| 5 | Gymnasium, general | 48 |
| 6 | Gymnasium, technical | 28 |
| 7 | Other school education | 7 |
| 8 | Basic vocational and apprenticeship | 262 |
| 9 | Other completed vocational education | 91 |
| 10 | Short advanced education, less than 3 years | 189 |
| 11 | Middle range advanced, 3-4 years | 514 |
| 12 | Further advanced, more than 4 years | 329 |
| 13 | Other vocational education | 158 |
| 0 | NAP, other countries | 48049 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1758 | 48049 |
Valid range from 1 to 13
ES_DEGR Country specific highest completed degree of education: Spain
| Value 87303 | Frequency | |
|---|---|---|
| 1 | No formal schooling, did not go to school | 63 |
| 2 | Less than 5 years of formal education | 59 |
| 3 | Primary School | 304 |
| 4 | Vocational Training (Elementary) | 6 |
| 5 | Lower Secondary Schooling | 393 |
| 6 | Vocational Training (Medium level) | 121 |
| 7 | Higher Secondary Schooling | 250 |
| 8 | Vocational Training (High level) | 170 |
| 9 | Architecture and Engineering (Technical School) | 24 |
| 10 | Three years completed of any non-techincal undergraduate | 131 |
| 11 | Graduate Degree | 6 |
| 12 | Bachelor Degree | 164 |
| 13 | Architecture or Engineering (Techincal School) | 27 |
| 14 | Master | 22 |
| 15 | PhD | 9 |
| 16 | Non-official graduate studies | 3 |
| 17 | Others | 0 |
| 0 | NAP, other countries | 48052 |
| 98 | Don't Know | 1 |
| 99 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1752 | 48055 |
Valid range from 1 to 17
FI_DEGR Country specific highest completed degree of education: Finland
| Value 88302 | Frequency | |
|---|---|---|
| 1 | Still in primary or lower secondary education | 21 |
| 2 | Primary education | 126 |
| 3 | Comprehensive, primary and lower secondary | 116 |
| 4 | Post-comprehensive, vocational school or course | 359 |
| 5 | General upper secondary education or certificate | 135 |
| 6 | Vocational post secondary non-tertiary education | 300 |
| 7 | Polytechnics | 147 |
| 8 | University, lower academic degree, BA | 76 |
| 9 | University, higher academic degree, MA | 218 |
| 0 | NAP, other countries | 48302 |
| 99 | No answer | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1498 | 48309 |
Valid range from 1 to 9
FR_DEGR Country specific highest completed degree of education: France
| Value 89301 | Frequency | |
|---|---|---|
| 1 | None | 14 |
| 2 | Primary incomplete without certification | 29 |
| 3 | Primary completed with certification | 84 |
| 4 | General secondary level 1 | 61 |
| 5 | Vocational secondary level 1 without vocational diploma | 42 |
| 6 | Vocational secondary level 2 with vocational diploma | 243 |
| 7 | Vocational secondary level 2 | 64 |
| 8 | Incomplete general secondary level 2 | 64 |
| 9 | General secondary level 2 | 119 |
| 10 | College | 231 |
| 11 | University | 253 |
| 0 | NAP, other countries | 48596 |
| 99 | No answer | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1204 | 48603 |
Valid range from 1 to 11
GB_DEGR Country specific highest completed degree of education: Great Britain (GB-GBN)
| Value 90300 | Frequency | |
|---|---|---|
| 1 | No secondary qualifications | 321 |
| 2 | CSE, GCSE or equivalent | 111 |
| 3 | O-level or equivalent | 305 |
| 4 | A-level or equivalent | 267 |
| 5 | Higher below degree level | 205 |
| 6 | Degree, University or CNAA or Diploma | 339 |
| 7 | Foreign or other | 28 |
| 0 | NAP, other countries | 48227 |
| 99 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1576 | 48231 |
Valid range from 1 to 7
GE_DEGR Country specific highest completed degree of education: Georgia
| Value 91299 | Frequency | |
|---|---|---|
| 1 | Without 8 or 9 years school completion certificate | 45 |
| 2 | 8 or 9 years school graduation certificate | 125 |
| 3 | Secondary school certificate (11 or 12 years) | 369 |
| 4 | Diploma of vocational education | 459 |
| 5 | Bachelor's degree or 5 years diploma | 417 |
| 6 | Master's degree | 59 |
| 7 | Higher than master's degree | 20 |
| 0 | NAP, other countries | 48309 |
| 97 | Refused to answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1494 | 48313 |
Valid range from 1 to 7
HR_DEGR Country specific highest completed degree of education: Croatia
| Value 92298 | Frequency | |
|---|---|---|
| 1 | Primary school not completed | 31 |
| 2 | Primary school completed | 111 |
| 3 | Three years vocational school completed | 252 |
| 4 | Four years vocational school completed | 355 |
| 5 | General secondary school (gymnasium) completed | 59 |
| 6 | Completed higher school, post secondary degree, college | 45 |
| 7 | University degree completed, university studies | 146 |
| 0 | NAP, other countries | 48807 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 999 | 48808 | 1 | 7 |
Valid range from 1 to 7
HU_DEGR Country specific highest completed degree of education: Hungary
| Value 93297 | Frequency | |
|---|---|---|
| 1 | Less than primary | 27 |
| 2 | 8 years elementary | 204 |
| 3 | Vocational | 298 |
| 4 | Vocational with maturity | 184 |
| 5 | Gymnasium with maturity | 111 |
| 6 | Secondary technical after maturity | 44 |
| 7 | Higher technical after maturity | 14 |
| 8 | College | 93 |
| 9 | University | 32 |
| 0 | NAP, other countries | 48800 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1007 | 48800 | 1 | 9 |
Valid range from 1 to 9
IL_DEGR Country specific highest completed degree of education: Israel
| Value 94296 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 24 |
| 2 | Lowest formal qualification | 71 |
| 3 | Incomplete vocational qualification | 38 |
| 4 | Vocational completed without matriculation | 50 |
| 5 | Vocational completed with matriculation | 52 |
| 6 | Incomplete academic secondary | 61 |
| 7 | Full general without matriculation | 106 |
| 8 | Academic secondary completed | 184 |
| 9 | Yeshiva without matriculation | 24 |
| 10 | Yeshiva with matriculation | 12 |
| 11 | Semi higher, post secondary | 154 |
| 12 | Incomplete university | 59 |
| 13 | University completed, BA or more | 363 |
| 0 | NAP, other countries | 48603 |
| 99 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1198 | 48609 |
Valid range from 1 to 13
IN_DEGR Country specific highest completed degree of education: India
| Value 95295 | Frequency | |
|---|---|---|
| 1 | Illiterate (can't read and write) | 110 |
| 2 | Non formal education (can read and write) | 227 |
| 3 | Primary level | 167 |
| 4 | High school | 349 |
| 5 | Higher secondary | 193 |
| 6 | Graduation | 134 |
| 7 | Post graduation | 22 |
| 8 | Professional | 7 |
| 0 | NAP, other countries | 48598 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1209 | 48598 | 1 | 8 |
Valid range from 1 to 8
IS_DEGR Country specific highest completed degree of education: Iceland
| Value 96294 | Frequency | |
|---|---|---|
| 1 | Primary school not completed | 1 |
| 2 | Primary school (around 12 years old) | 23 |
| 3 | Primary school (around 14 years old) | 45 |
| 4 | Compulsory education (around 16 years old) | 175 |
| 5 | Short vocational training to secondary school level (e.g. ho | 123 |
| 6 | Upper secondary completed (gymnasium), exam from Háskólabr | 162 |
| 7 | Apprenticeship - upper secondary | 107 |
| 8 | Longer vocational training to secondary school level (e.g. n | 63 |
| 9 | Vocational training on completion of secondary school level | 42 |
| 10 | Master craftsman - licence to supervise apprentices | 70 |
| 11 | Short, practical training at university level, diploma | 44 |
| 12 | Short vocational training at university level, basic diploma | 42 |
| 13 | Undergraduate degree BA/BS/B.Ed. or additional diploma | 265 |
| 14 | Studies at university longer than 4 years, at an undergradua | 53 |
| 15 | Master's degree MA/MS | 171 |
| 16 | Doctoral degree PhD | 17 |
| 0 | NAP, other countries | 48310 |
| 99 | No answer | 94 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1403 | 48404 |
Valid range from 1 to 16
JP_DEGR Country specific highest completed degree of education: Japan
| Value 97293 | Frequency | |
|---|---|---|
| 1 | Junior High school completed | 252 |
| 2 | Still at High school | 52 |
| 3 | High school completed | 671 |
| 4 | Still at Junior college or university | 31 |
| 5 | Junior college completed | 270 |
| 6 | Still at Graduate school | 3 |
| 7 | Finished University or graduate | 293 |
| 8 | Others | 6 |
| 0 | NAP, other countries | 48214 |
| 99 | No answer | 15 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1578 | 48229 |
Valid range from 1 to 8
KR_DEGR Country specific highest completed degree of education: Korea (South)
| Value 98292 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 33 |
| 2 | Elementary incompleted | 17 |
| 3 | Elementary completed | 86 |
| 4 | Middle school incompleted | 13 |
| 5 | Middle school completed | 71 |
| 6 | High school incompleted | 32 |
| 7 | High school completed | 338 |
| 8 | Junior college incompleted | 25 |
| 9 | Junior college completed | 160 |
| 10 | University incompleted | 153 |
| 11 | University completed | 342 |
| 12 | Master degree incompleted | 14 |
| 13 | Master degree completed | 67 |
| 14 | Doctoral degree incompleted | 2 |
| 15 | Doctoral degree completed | 17 |
| 0 | NAP, other countries | 48437 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1370 | 48437 |
Valid range from 1 to 15
LT_DEGR Country specific highest completed degree of education: Lithuania
| Value 99291 | Frequency | |
|---|---|---|
| 1 | Not completed primary | 8 |
| 2 | Primary | 44 |
| 3 | Vocational (without completing basic) | 19 |
| 4 | Basic (including youth schools, night schools) | 52 |
| 5 | Vocational (completing basic) | 66 |
| 6 | Vocational (after completing basic, the training program las | 35 |
| 7 | Vocational (after completing basic, the training program las | 63 |
| 8 | Secondary (including gymnasium schools, lyceums, night schoo | 182 |
| 9 | Vocational together with secondary (after completing basic) | 52 |
| 10 | Vocational (after completing secondary) | 60 |
| 11 | Higher vocational or special secondary after completing basi | 72 |
| 12 | Higher vocational or special secondary after completing seco | 71 |
| 13 | Higher vocational (non-university degree) | 112 |
| 14 | Higher (university degree attained in bachelor studies) | 171 |
| 15 | Higher university degree attained in integrated studies or i | 42 |
| 16 | Higher (university degree attained in master or resident stu | 58 |
| 17 | Doctoral or candidate of sciences degree | 1 |
| 95 | Other | 6 |
| 0 | NAP, other countries | 48688 |
| 99 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1114 | 48693 |
Valid range from 1 to 95
NL_DEGR Country specific highest completed degree of education: Netherlands
| Value 100290 | Frequency | |
|---|---|---|
| 1 | Incomplete Primary (Basisonderwijs onvoltooid) | 15 |
| 2 | Primary (Basisonderwijs) | 52 |
| 3 | Lower Vocational (LBO-VBO-VMBOb) | 227 |
| 4 | Middle Secondary General - 4 yrs (MAVO-MULO-VMBOt) | 213 |
| 5 | Upper Middle Secondary General - 5 yrs (HAVO-MMS) | 95 |
| 6 | Upper Secondary General - 6 yrs (VWO-HBS-Athen-Gymn) | 63 |
| 7 | Middle Vocational - 1-3 yrs (kMBO) | 109 |
| 8 | Middle Vocational - 4 yrs (MBO4) | 168 |
| 9 | Higher Vocational - 2-3 yrs (kHBO) | 66 |
| 10 | Higher Vocational - 4 yrs (HBO BA) | 281 |
| 11 | Higher Vocational - 5-6 yrs (HBO MA) | 58 |
| 12 | University BA (WO BA) | 29 |
| 13 | University MA (WO MA) | 147 |
| 14 | Post-University (Postdoctoraal) | 58 |
| 0 | NAP, other countries | 48169 |
| 99 | No answer | 57 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1581 | 48226 |
Valid range from 1 to 14
NO_DEGR Country specific highest completed degree of education: Norway
| Value 101289 | Frequency | |
|---|---|---|
| 1 | No formal education completed | 14 |
| 2 | Primary compulsory, lower secondary compulsory | 100 |
| 3 | Lower secondary voluntary, higher secondary incomplete | 229 |
| 4 | Upper secondary, vocational completed | 132 |
| 5 | Upper secondary, general completed | 141 |
| 6 | Technical and training college | 60 |
| 7 | University, College, incomplete, less than 3 years | 194 |
| 8 | University, College, completed, 3-4 years | 341 |
| 9 | University, College, completed, 5 years or more | 222 |
| 0 | NAP, other countries | 48348 |
| 99 | No answer | 26 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1433 | 48374 |
Valid range from 1 to 9
PH_DEGR Country specific highest completed degree of education: Philippines
| Value 102288 | Frequency | |
|---|---|---|
| 1 | No formal education | 18 |
| 2 | Some elementary, incomplete primary | 154 |
| 3 | Completed elementary, primary completed | 156 |
| 4 | Some high school, incomplete secondary | 175 |
| 5 | Completed high school, secondary completed | 321 |
| 6 | Some vocational | 33 |
| 7 | Completed vocational | 57 |
| 8 | Some College | 154 |
| 9 | Completed College | 122 |
| 10 | Post College | 10 |
| 0 | NAP, other countries | 48607 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 48607 |
Valid range from 1 to 10
PL_DEGR Country specific highest completed degree of education: Poland
| Value 103287 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 4 |
| 2 | Incomplete elementary | 16 |
| 3 | Completed elementary, primary completed | 344 |
| 4 | Gymnasium | 77 |
| 5 | Basic vocational | 566 |
| 6 | Incomplete secondary | 22 |
| 7 | Secondary general | 187 |
| 8 | Secondary vocational | 409 |
| 9 | Post secondary | 79 |
| 10 | Incomplete higher | 34 |
| 11 | Completed higher at licentiate level | 84 |
| 12 | Completed higher at master level | 272 |
| 13 | Higher with at least PhD | 9 |
| 0 | NAP, other countries | 47695 |
| 99 | No answer | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2103 | 47704 |
Valid range from 1 to 13
RU_DEGR Country specific highest completed degree of education: Russia
| Value 104286 | Frequency | |
|---|---|---|
| 1 | Primary school or below (not finished junior high school) | 17 |
| 2 | Intermediate secondary school completed, junior high school | 120 |
| 3 | Trade school, intermediate school, vocational schools on the | 95 |
| 4 | High secondary school completed (10 now 11 classes) | 337 |
| 5 | Trade school, high secondary completed, vocational schools o | 98 |
| 6 | Technical secondary school, specialized secondary education | 454 |
| 7 | Higher education incomplete (at least 3 courses of high scho | 51 |
| 8 | Higher education, university degree completed | 428 |
| 0 | NAP, other countries | 48207 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1600 | 48207 | 1 | 8 |
Valid range from 1 to 8
SE_DEGR Country specific highest completed degree of education: Sweden
| Value 105285 | Frequency | |
|---|---|---|
| 1 | Incomplete primary/ comprehensive school | 7 |
| 2 | Primary/ comprehensive school pre 1962 (6-8 years) | 57 |
| 3 | Primary/ comprehensive school post 1962 (9 years) | 71 |
| 4 | Lower secondary school | 25 |
| 5 | Vocational school (1963-70) | 16 |
| 6 | Vocational school (2 years) | 110 |
| 7 | 3 or 4 years gymnasium, academic track | 110 |
| 8 | Vocational school post 1992 | 45 |
| 9 | Gymnasium, academic track post 1992 | 21 |
| 10 | University studies without degree | 81 |
| 11 | University degree, less than 3 years | 76 |
| 12 | University degree, 3 years or more | 256 |
| 13 | Doctor's degree | 12 |
| 0 | NAP, other countries | 48908 |
| 99 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 887 | 48920 |
Valid range from 1 to 13
SI_DEGR Country specific highest completed degree of education: Slovenia
| Value 106284 | Frequency | |
|---|---|---|
| 1 | Without formal education (0 to at most 3 grades of 8-year pr | 11 |
| 2 | Incomplete primary school (more than 3 grades of 8-year or m | 41 |
| 3 | Primary school completed (has a primary school certificate) | 127 |
| 4 | Lower secondary school or vocational school (2 to 3-year pro | 223 |
| 5 | Secondary technical school (4-year program with leaving exam | 229 |
| 6 | General secondary school (gymnasium with leaving examination | 74 |
| 7 | Higher degree completed, 2-years college | 82 |
| 8 | Completed 3 years college, 1st Bologna degree | 76 |
| 9 | University or academy completed (4-6 years program + thesis) | 116 |
| 10 | Specialization (1 year) | 8 |
| 11 | Master degree (also Bologna Master) | 16 |
| 12 | Doctorate degree, PhD | 5 |
| 95 | Other education, not clear | 2 |
| 0 | NAP, other countries | 48797 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1010 | 48797 |
Valid range from 1 to 95
SK_DEGR Country specific highest completed degree of education: Slovak Republic
| Value 107283 | Frequency | |
|---|---|---|
| 1 | Incomplete elementary school | 11 |
| 2 | Completed elementary school | 98 |
| 3 | Completed elementary and vocational training | 38 |
| 4 | Vocational training with certificate, apprenticeship | 300 |
| 5 | Vocational school or trade school | 66 |
| 6 | Completed apprenticeship training with maturity level certif | 125 |
| 7 | Completed vocational upper secondary education | 256 |
| 8 | Completed general upper secondary education, grammar school | 64 |
| 9 | Follow-up, post-maturity education | 26 |
| 10 | University, college education, bachelor degree | 32 |
| 11 | University, college completed master or engineering programm | 135 |
| 12 | Postgraduate level or higher education study | 5 |
| 0 | NAP, other countries | 48651 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1156 | 48651 | 1 | 12 |
Valid range from 1 to 12
TR_DEGR Country specific highest completed degree of education: Turkey
| Value 108282 | Frequency | |
|---|---|---|
| 1 | No formal education | 150 |
| 2 | Primary completed | 511 |
| 3 | Junior High School completed | 209 |
| 4 | High School completed | 404 |
| 5 | Incomplete University degree | 38 |
| 6 | University degree completed | 167 |
| 7 | Postgraduate (Masters or Doctorate) | 13 |
| 0 | NAP, other countries | 48298 |
| 99 | No answer | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1492 | 48315 |
Valid range from 1 to 7
TW_DEGR Country specific highest completed degree of education: Taiwan
| Value 109281 | Frequency | |
|---|---|---|
| 1 | None | 83 |
| 2 | Self-study | 7 |
| 3 | Elementary school | 271 |
| 4 | Junior high school | 190 |
| 5 | Vocational junior high school | 3 |
| 6 | Senior high school general | 92 |
| 7 | Senior high school vocational subject | 41 |
| 8 | Vocational senior high school | 360 |
| 9 | Cadet school, senior high level | 2 |
| 10 | 5 years junior college, after junior high | 56 |
| 11 | 2 years junior college after vocational high | 126 |
| 12 | 3 years junior college, after high general | 17 |
| 13 | Military, police junior college, 1 year | 4 |
| 14 | Military, police college, 2 years | 9 |
| 15 | Open junior College | 6 |
| 16 | Open College | 4 |
| 17 | Military, Police College | 6 |
| 18 | Institute of technology | 161 |
| 19 | University | 317 |
| 20 | Graduate school, master degree | 111 |
| 21 | Graduate school, doctorate degree, PhD | 9 |
| 0 | NAP, other countries | 47932 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1875 | 47932 |
Valid range from 1 to 21
US_DEGR Country specific highest completed degree of education: United States
| Value 110280 | Frequency | |
|---|---|---|
| 1 | Less than High school | 169 |
| 2 | High school | 651 |
| 3 | Junior college | 73 |
| 4 | Bachelor degree | 231 |
| 5 | Graduate school | 140 |
| 0 | NAP, other countries | 48543 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1264 | 48543 |
Valid range from 1 to 5
VE_DEGR Country specific highest completed degree of education: Venezuela
| Value 111279 | Frequency | |
|---|---|---|
| 1 | Can't read or write | 6 |
| 2 | None, but read and write | 8 |
| 3 | Incomplete primary school | 45 |
| 4 | Completed primary school | 117 |
| 5 | Incomplete secondary school | 245 |
| 6 | Completed secondary school | 406 |
| 7 | Incomplete superior technician | 0 |
| 8 | Completed superior technician | 87 |
| 9 | Incomplete university education | 0 |
| 10 | Complete university education | 81 |
| 11 | Postgraduate education | 14 |
| 0 | NAP, other countries | 48798 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1009 | 48798 |
Valid range from 1 to 11
ZA_DEGR Country specific highest completed degree of education: South Africa
| Value 112278 | Frequency | |
|---|---|---|
| 1 | No schooling | 150 |
| 2 | Grade 0/ Grade R | 1 |
| 3 | Sub A/ Grade 1 | 16 |
| 4 | Sub B/ Grade 2 | 27 |
| 5 | Grade 3/ Standard 1 | 42 |
| 6 | Grade 4/ Standard 2 | 51 |
| 7 | Grade 5/ Standard 3 | 70 |
| 8 | Grade 6/ Standard 4 | 100 |
| 9 | Grade 7/ Standard 5 | 141 |
| 10 | Grade 8/ Standard 6/ Form 1 | 225 |
| 11 | Grade 9/ Standard 7/ Form 2 | 172 |
| 12 | Grade 10/ Standard 8/ Form 3 | 353 |
| 13 | Grade 11/ Standard 9/ Form 4 | 345 |
| 14 | Grade 12/ Standard 10/ Form 5/ Matriculation | 932 |
| 15 | NTC I | 13 |
| 16 | NTC II | 13 |
| 17 | NTC III | 33 |
| 18 | Diploma/ certificate with less than Grade 12/ Std 10 | 44 |
| 19 | Diploma/ certificate with Grade 12/ Std 10 | 135 |
| 20 | Degree | 114 |
| 21 | Postgraduate degree or diploma | 84 |
| 22 | Other | 24 |
| 0 | NAP, other countries | 46683 |
| 99 | No answer | 39 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 3085 | 46722 |
Valid range from 1 to 22
DEGREE Highest completed education level: Categories for international comparison
| Value 113277 | Frequency | |
|---|---|---|
| 0 | No formal education | 1915 |
| 1 | Primary school (elementary education) | 3465 |
| 2 | Lower secondary (secondary completed does not allow entry to | 11115 |
| 3 | Upper secondary (programs that allows entry to university) | 12975 |
| 4 | Post secondary, non-tertiary (other upper secondary programs | 6114 |
| 5 | Lower level tertiary, first stage (also technical schools at | 8699 |
| 6 | Upper level tertiary (Master, Doctor) | 5039 |
| 9 | No answer | 485 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49322 | 485 |
Valid range from 0 to 6
WORK Currently, formerly, or never in paid work
| Value 114276 | Frequency | |
|---|---|---|
| 1 | Currently in paid work | 26360 |
| 2 | Currently not in paid work, paid work in the past | 17624 |
| 3 | Never had paid work | 5443 |
| 9 | No answer | 380 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49427 | 380 |
Valid range from 1 to 3
WRKHRS Hours worked weekly
| Value 115275 | Frequency | |
|---|---|---|
| 1 | One hour | 9 |
| 89 | US: 89 hours and more | 9 |
| 96 | 96 hours and more | 150 |
| 0 | NAP (code 2 or 3 in WORK; DK,VE: code 3 in WORK); NAV (HU) | 22739 |
| 98 | Don't know; TW: Time varies | 469 |
| 99 | No answer | 994 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 25605 | 24202 | 1 | 96 |
Valid range from 1 to 96
EMPREL Employment relationship
| Value 116274 | Frequency | |
|---|---|---|
| 1 | Employee | 35488 |
| 2 | Self-employed without employees | 4064 |
| 3 | Self-employed with employees | 1920 |
| 4 | Working for own family's business | 1049 |
| 0 | NAP (code 3 (HU:2,3) in WORK) | 5846 |
| 9 | No answer | 1440 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42521 | 7286 |
Valid range from 1 to 4
NEMPLOY Self-employed: how many employees
| Value 117273 | Frequency | |
|---|---|---|
| 1 | 1 employee; NL: 1 employee | 351 |
| 4 | 4; NL: 2-5 employees | 194 |
| 9 | 9; NL: 6-11 employees | 39 |
| 19 | 19; NL: 12-25 employees | 12 |
| 30 | 30; NL: More than 25 employees | 43 |
| 97 | US: 97 employees or more | 1 |
| 9995 | 9995 employees or more | 0 |
| 0 | NAP (code 1, 2, 4, 0 in EMPREL) | 46447 |
| 9998 | Don't know | 1 |
| 9999 | No answer | 1562 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1797 | 48010 | 1 | 6000 |
Valid range from 1 to 9995
WRKSUP Supervise other employees
| Value 118272 | Frequency | |
|---|---|---|
| 1 | Yes | 11464 |
| 2 | No | 30233 |
| 0 | NAP (code 3 in WORK); (HU: 1 in EMPREL, 3 in WORK) (US: 2,3 | 6348 |
| 8 | Don't know | 2 |
| 9 | No answer | 1760 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41697 | 8110 |
Valid range from 1 to 2
NSUP Number of other employees supervised
| Value 119271 | Frequency | |
|---|---|---|
| 1 | 1 employee; NL: 1 employee | 992 |
| 4 | 4; NL: 2-5 employees | 1068 |
| 9 | 9; NL: 6-11 employees | 255 |
| 19 | 19; NL: 12-25 employees | 119 |
| 30 | 30; NL: More than 25 employees | 347 |
| 999 | FR: 999 employees or more | 1 |
| 9995 | 9995 employees or more | 2 |
| 0 | NAP (code 2, 0 in WRKSUP); NAV (US) | 36868 |
| 9999 | No answer | 2234 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 10705 | 39102 | 1 | 9995 |
Valid range from 1 to 9995
TYPORG1 Type of organization, for-profit/ non-profit
| Value 120270 | Frequency | |
|---|---|---|
| 1 | For-profit organization | 27055 |
| 2 | Non-profit organization | 11082 |
| 0 | NAP (code 3 in WORK; GB: 0,2,3 in EMPREL; US: 2-9 in MAINSTA | 8027 |
| 8 | Don't know | 1034 |
| 9 | No answer | 2609 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 38137 | 11670 |
Valid range from 1 to 2
TYPORG2 Type of organization, public/ private
| Value 121269 | Frequency | |
|---|---|---|
| 1 | Public employer | 13676 |
| 2 | Private employer | 28276 |
| 0 | NAP (code 3 in WORK; GB: code 0,2,3 in EMPREL) | 5651 |
| 8 | Don't know | 635 |
| 9 | No answer | 1569 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41952 | 7855 |
Valid range from 1 to 2
ISCO08 Occupation ISCO/ ILO 2008
| Value 122268 | Frequency | |
|---|---|---|
| 110 | Commissioned armed forces officers | 92 |
| 210 | Non-commissioned armed forces officers | 36 |
| 310 | Armed forces occupations, other ranks | 52 |
| 1000 | Managers | 60 |
| 1100 | Chief executives, senior officials and legislators | 1 |
| 1110 | Legislators and senior officials | 6 |
| 1111 | Legislators | 10 |
| 1112 | Senior government officials | 45 |
| 1113 | Traditional chiefs and heads of village | 40 |
| 1114 | Senior officials of special-interest organizations | 30 |
| 1120 | Managing directors and chief executives | 515 |
| 1200 | Administrative and commercial managers | 18 |
| 1210 | Business services and administration managers | 27 |
| 1211 | Finance managers | 177 |
| 1212 | Human resource managers | 102 |
| 1213 | Policy and planning managers | 48 |
| 1219 | Business services and administration managers not elsewhere | 174 |
| 1220 | Sales, marketing and development managers | 19 |
| 1221 | Sales and marketing managers | 230 |
| 1222 | Advertising and public relations managers | 20 |
| 1223 | Research and development managers | 47 |
| 1300 | Production and specialised services managers | 106 |
| 1310 | Production managers in agriculture, forestry and fisheries | 1 |
| 1311 | Agricultural and forestry production managers | 23 |
| 1312 | Aquaculture and fisheries production managers | 11 |
| 1320 | Manufacturing, mining, construction, and distribution manage | 23 |
| 1321 | Manufacturing managers | 255 |
| 1322 | Mining managers | 8 |
| 1323 | Construction managers | 111 |
| 1324 | Supply, distribution and related managers | 153 |
| 1330 | Information and communications technology service managers | 116 |
| 1340 | Professional services managers | 11 |
| 1341 | Child care services managers | 30 |
| 1342 | Health services managers | 84 |
| 1343 | Aged care services managers | 7 |
| 1344 | Social welfare managers | 23 |
| 1345 | Education managers | 154 |
| 1346 | Financial and insurance services branch managers | 51 |
| 1349 | Professional services managers not elsewhere classified | 100 |
| 1400 | Hospitality, retail and other services managers | 28 |
| 1410 | Hotel and restaurant managers | 57 |
| 1411 | Hotel managers | 30 |
| 1412 | Restaurant managers | 88 |
| 1420 | Retail and wholesale trade managers | 257 |
| 1430 | Other services managers | 4 |
| 1431 | Sports, recreation and cultural centre managers | 25 |
| 1439 | Services managers not elsewhere classified | 89 |
| 2000 | Professionals | 44 |
| 2100 | Science and engineering professionals | 57 |
| 2110 | Physical and earth science professionals | 6 |
| 2111 | Physicists and astronomers | 13 |
| 2112 | Meteorologists | 7 |
| 2113 | Chemists | 36 |
| 2114 | Geologists and geophysicists | 21 |
| 2120 | Mathematicians, actuaries and statisticians | 27 |
| 2130 | Life science professionals | 9 |
| 2131 | Biologists, botanists, zoologists and related professionals | 27 |
| 2132 | Farming, forestry and fisheries advisers | 30 |
| 2133 | Environmental protection professionals | 14 |
| 2140 | Engineering professionals (excluding electrotechnology) | 35 |
| 2141 | Industrial and production engineers | 69 |
| 2142 | Civil engineers | 102 |
| 2143 | Environmental engineers | 9 |
| 2144 | Mechanical engineers | 93 |
| 2145 | Chemical engineers | 21 |
| 2146 | Mining engineers, metallurgists and related professionals | 20 |
| 2149 | Engineering professionals not elsewhere classified | 86 |
| 2150 | Electrotechnology engineers | 10 |
| 2151 | Electrical engineers | 47 |
| 2152 | Electronics engineers | 34 |
| 2153 | Telecommunications engineers | 16 |
| 2160 | Architects, planners, surveyors and designers | 32 |
| 2161 | Building architects | 76 |
| 2162 | Landscape architects | 5 |
| 2163 | Product and garment designers | 28 |
| 2164 | Town and traffic planners | 15 |
| 2165 | Cartographers and surveyors | 20 |
| 2166 | Graphic and multimedia designers | 50 |
| 2200 | Health professionals | 10 |
| 2210 | Medical doctors | 56 |
| 2211 | Generalist medical practitioners | 118 |
| 2212 | Specialist medical practitioners | 71 |
| 2220 | Nursing and midwifery professionals | 70 |
| 2221 | Nursing professionals | 392 |
| 2222 | Midwifery professionals | 14 |
| 2230 | Traditional and complementary medicine professionals | 23 |
| 2240 | Paramedical practitioners | 24 |
| 2250 | Veterinarians | 27 |
| 2260 | Other health professionals | 9 |
| 2261 | Dentists | 51 |
| 2262 | Pharmacists | 67 |
| 2263 | Environmental and occupational health and hygiene profession | 39 |
| 2264 | Physiotherapists | 98 |
| 2265 | Dieticians and nutritionists | 13 |
| 2266 | Audiologists and speech therapists | 12 |
| 2267 | Optometrists and ophthalmic opticians | 5 |
| 2269 | Health professionals not elsewhere classified | 52 |
| 2300 | Teaching professionals | 123 |
| 2310 | University and higher education teachers | 261 |
| 2320 | Vocational education teachers | 136 |
| 2330 | Secondary education teachers | 550 |
| 2340 | Primary school and early childhood teachers | 97 |
| 2341 | Primary school teachers | 711 |
| 2342 | Early childhood educators | 327 |
| 2350 | Other teaching professionals | 19 |
| 2351 | Education methods specialists | 38 |
| 2352 | Special needs teachers | 85 |
| 2353 | Other language teachers | 49 |
| 2354 | Other music teachers | 36 |
| 2355 | Other arts teachers | 13 |
| 2356 | Information technology trainers | 5 |
| 2359 | Teaching professionals not elsewhere classified | 162 |
| 2400 | Business and administration professionals | 74 |
| 2410 | Finance professionals | 17 |
| 2411 | Accountants | 328 |
| 2412 | Financial and investment advisers | 70 |
| 2413 | Financial analysts | 44 |
| 2420 | Administration professionals | 17 |
| 2421 | Management and organization analysts | 89 |
| 2422 | Policy administration professionals | 113 |
| 2423 | Personnel and careers professionals | 86 |
| 2424 | Training and staff development professionals | 33 |
| 2430 | Sales, marketing and public relations professionals | 27 |
| 2431 | Advertising and marketing professionals | 93 |
| 2432 | Public relations professionals | 29 |
| 2433 | Technical and medical sales professionals (excluding ICT) | 34 |
| 2434 | Information and communications technology sales professional | 17 |
| 2500 | Information and communications technology professionals | 57 |
| 2510 | Software and applications developers and analysts | 27 |
| 2511 | Systems analysts | 80 |
| 2512 | Software developers | 110 |
| 2513 | Web and multimedia developers | 21 |
| 2514 | Applications programmers | 56 |
| 2519 | Software and applications developers and analysts not elsewh | 42 |
| 2520 | Database and network professionals | 3 |
| 2521 | Database designers and administrators | 8 |
| 2522 | Systems administrators | 32 |
| 2523 | Computer network professionals | 13 |
| 2529 | Database and network professionals not elsewhere classified | 12 |
| 2600 | Legal, social and cultural professionals | 1 |
| 2610 | Legal professionals | 17 |
| 2611 | Lawyers | 144 |
| 2612 | Judges | 18 |
| 2619 | Legal professionals not elsewhere classified | 51 |
| 2620 | Librarians, archivists and curators | 4 |
| 2621 | Archivists and curators | 13 |
| 2622 | Librarians and related information professionals | 65 |
| 2630 | Social and religious professionals | 14 |
| 2631 | Economists | 96 |
| 2632 | Sociologists, anthropologists and related professionals | 26 |
| 2633 | Philosophers, historians and political scientists | 7 |
| 2634 | Psychologists | 82 |
| 2635 | Social work and counselling professionals | 206 |
| 2636 | Religious professionals | 51 |
| 2640 | Authors, journalists and linguists | 35 |
| 2641 | Authors and related writers | 30 |
| 2642 | Journalists | 67 |
| 2643 | Translators, interpreters and other linguists | 39 |
| 2650 | Creative and performing artists | 8 |
| 2651 | Visual artists | 48 |
| 2652 | Musicians, singers and composers | 57 |
| 2653 | Dancers and choreographers | 8 |
| 2654 | Film, stage and related directors and producers | 26 |
| 2655 | Actors | 17 |
| 2656 | Announcers on radio, television and other media | 0 |
| 2659 | Creative and performing artists not elsewhere classified | 16 |
| 3000 | Technicians and associate professionals | 45 |
| 3100 | Science and engineering associate professionals | 44 |
| 3110 | Physical and engineering science technicians | 50 |
| 3111 | Chemical and physical science technicians | 36 |
| 3112 | Civil engineering technicians | 117 |
| 3113 | Electrical engineering technicians | 68 |
| 3114 | Electronics engineering technicians | 63 |
| 3115 | Mechanical engineering technicians | 92 |
| 3116 | Chemical engineering technicians | 37 |
| 3117 | Mining and metallurgical technicians | 21 |
| 3118 | Draughtspersons | 68 |
| 3119 | Physical and engineering science technicians not elsewhere c | 84 |
| 3120 | Mining, manufacturing and construction supervisors | 70 |
| 3121 | Mining supervisors | 5 |
| 3122 | Manufacturing supervisors | 181 |
| 3123 | Construction supervisors | 134 |
| 3130 | Process control technicians | 25 |
| 3131 | Power production plant operators | 18 |
| 3132 | Incinerator and water treatment plant operators | 19 |
| 3133 | Chemical processing plant controllers | 5 |
| 3134 | Petroleum and natural gas refining plant operators | 11 |
| 3135 | Metal production process controllers | 8 |
| 3139 | Process control technicians not elsewhere classified | 46 |
| 3140 | Life science technicians and related associate professionals | 2 |
| 3141 | Life science technicians (excluding medical) | 14 |
| 3142 | Agricultural technicians | 22 |
| 3143 | Forestry technicians | 7 |
| 3150 | Ship and aircraft controllers and technicians | 0 |
| 3151 | Ships' engineers | 13 |
| 3152 | Ships' deck officers and pilots | 34 |
| 3153 | Aircraft pilots and related associate professionals | 28 |
| 3154 | Air traffic controllers | 9 |
| 3155 | Air traffic safety electronics technicians | 2 |
| 3200 | Health associate professionals | 10 |
| 3210 | Medical and pharmaceutical technicians | 22 |
| 3211 | Medical imaging and therapeutic equipment technicians | 33 |
| 3212 | Medical and pathology laboratory technicians | 79 |
| 3213 | Pharmaceutical technicians and assistants | 38 |
| 3214 | Medical and dental prosthetic technicians | 20 |
| 3220 | Nursing and midwifery associate professionals | 19 |
| 3221 | Nursing associate professionals | 371 |
| 3222 | Midwifery associate professionals | 15 |
| 3230 | Traditional and complementary medicine associate professiona | 11 |
| 3240 | Veterinary technicians and assistants | 11 |
| 3250 | Other health associate professionals | 12 |
| 3251 | Dental assistants and therapists | 33 |
| 3252 | Medical records and health information technicians | 19 |
| 3253 | Community health workers | 14 |
| 3254 | Dispensing opticians | 9 |
| 3255 | Physiotherapy technicians and assistants | 28 |
| 3256 | Medical assistants | 97 |
| 3257 | Environmental and occupational health inspectors and associa | 33 |
| 3258 | Ambulance workers | 19 |
| 3259 | Health associate professionals not elsewhere classified | 41 |
| 3300 | Business and administration associate professionals | 56 |
| 3310 | Financial and mathematical associate professionals | 24 |
| 3311 | Securities and finance dealers and brokers | 33 |
| 3312 | Credit and loans officers | 57 |
| 3313 | Accounting associate professionals | 353 |
| 3314 | Statistical, mathematical and related associate professional | 10 |
| 3315 | Valuers and loss assessors | 19 |
| 3320 | Sales and purchasing agents and brokers | 80 |
| 3321 | Insurance representatives | 132 |
| 3322 | Commercial sales representatives | 382 |
| 3323 | Buyers | 94 |
| 3324 | Trade brokers | 55 |
| 3330 | Business services agents | 9 |
| 3331 | Clearing and forwarding agents | 47 |
| 3332 | Conference and event planners | 21 |
| 3333 | Employment agents and contractors | 27 |
| 3334 | Real estate agents and property managers | 134 |
| 3339 | Business services agents not elsewhere classified | 74 |
| 3340 | Administrative and specialised secretaries | 35 |
| 3341 | Office supervisors | 381 |
| 3342 | Legal secretaries | 15 |
| 3343 | Administrative and executive secretaries | 276 |
| 3344 | Medical secretaries | 40 |
| 3350 | Regulatory government associate professionals | 53 |
| 3351 | Customs and border inspectors | 21 |
| 3352 | Government tax and excise officials | 36 |
| 3353 | Government social benefits officials | 39 |
| 3354 | Government licensing officials | 32 |
| 3355 | Police inspectors and detectives | 50 |
| 3359 | Regulatory government associate professionals not elsewhere | 67 |
| 3400 | Legal, social, cultural and related associate professionals | 9 |
| 3410 | Legal, social and religious associate professionals | 8 |
| 3411 | Police inspectors and detectives | 34 |
| 3412 | Social work associate professionals | 172 |
| 3413 | Religious associate professionals | 14 |
| 3420 | Sports and fitness workers | 20 |
| 3421 | Athletes and sports players | 16 |
| 3422 | Sports coaches, instructors and officials | 33 |
| 3423 | Fitness and recreation instructors and program leaders | 32 |
| 3430 | Artistic, cultural and culinary associate professionals | 7 |
| 3431 | Photographers | 29 |
| 3432 | Interior designers and decorators | 70 |
| 3433 | Gallery, museum and library technicians | 10 |
| 3434 | Chefs | 83 |
| 3435 | Other artistic and cultural associate professionals | 62 |
| 3500 | Information and communications technicians | 4 |
| 3510 | Information and communications technology operations and use | 38 |
| 3511 | Information and communications technology operations technic | 38 |
| 3512 | Information and communications technology user support techn | 43 |
| 3513 | Computer network and systems technicians | 32 |
| 3514 | Web technicians | 4 |
| 3520 | Telecommunications and broadcasting technicians | 5 |
| 3521 | Broadcasting and audio-visual technicians | 25 |
| 3522 | Telecommunications engineering technicians | 20 |
| 4000 | Clerical support workers | 49 |
| 4100 | General and keyboard clerks | 76 |
| 4110 | General office clerks | 876 |
| 4120 | Secretaries (general) | 421 |
| 4130 | Keyboard operators | 7 |
| 4131 | Typists and word processing operators | 101 |
| 4132 | Data entry clerks | 52 |
| 4200 | Customer services clerks | 11 |
| 4210 | Tellers, money collectors and related clerks | 32 |
| 4211 | Bank tellers and related clerks | 200 |
| 4212 | Bookmakers, croupiers and related gaming workers | 19 |
| 4213 | Pawnbrokers and money-lenders | 2 |
| 4214 | Debt-collectors and related workers | 22 |
| 4220 | Client information workers | 70 |
| 4221 | Travel consultants and clerks | 49 |
| 4222 | Contact centre information clerks | 89 |
| 4223 | Telephone switchboard operators | 50 |
| 4224 | Hotel receptionists | 43 |
| 4225 | Enquiry clerks | 55 |
| 4226 | Receptionists (general) | 128 |
| 4227 | Survey and market research interviewers | 22 |
| 4229 | Client information workers not elsewhere classified | 21 |
| 4300 | Numerical and material recording clerks | 4 |
| 4310 | Numerical clerks | 82 |
| 4311 | Accounting and bookkeeping clerks | 423 |
| 4312 | Statistical, finance and insurance clerks | 103 |
| 4313 | Payroll clerks | 54 |
| 4320 | Material-recording and transport clerks | 21 |
| 4321 | Stock clerks | 279 |
| 4322 | Production clerks | 86 |
| 4323 | Transport clerks | 79 |
| 4400 | Other clerical support workers | 1 |
| 4410 | Other clerical support workers | 31 |
| 4411 | Library clerks | 32 |
| 4412 | Mail carriers and sorting clerks | 147 |
| 4413 | Coding, proof-reading and related clerks | 6 |
| 4414 | Scribes and related workers | 10 |
| 4415 | Filing and copying clerks | 13 |
| 4416 | Personnel clerks | 36 |
| 4419 | Clerical support workers not elsewhere classified | 172 |
| 5000 | Service and sales workers | 9 |
| 5100 | Personal service workers | 23 |
| 5110 | Travel attendants, conductors and guides | 5 |
| 5111 | Travel attendants and travel stewards | 37 |
| 5112 | Transport conductors | 27 |
| 5113 | Travel guides | 23 |
| 5120 | Cooks | 472 |
| 5130 | Waiters and bartenders | 93 |
| 5131 | Waiters | 336 |
| 5132 | Bartenders | 64 |
| 5140 | Hairdressers, beauticians and related workers | 81 |
| 5141 | Hairdressers | 188 |
| 5142 | Beauticians and related workers | 100 |
| 5150 | Building and housekeeping supervisors | 6 |
| 5151 | Cleaning and housekeeping supervisors in offices, hotels and | 72 |
| 5152 | Domestic housekeepers | 66 |
| 5153 | Building caretakers | 192 |
| 5160 | Other personal services workers | 33 |
| 5161 | Astrologers, fortune-tellers and related workers | 2 |
| 5162 | Companions and valets | 3 |
| 5163 | Undertakers and embalmers | 10 |
| 5164 | Pet groomers and animal care workers | 21 |
| 5165 | Driving instructors | 14 |
| 5169 | Personal services workers not elsewhere classified | 55 |
| 5200 | Sales workers | 85 |
| 5210 | Street and market salespersons | 37 |
| 5211 | Stall and market salespersons | 352 |
| 5212 | Street food salespersons | 47 |
| 5220 | Shop salespersons | 113 |
| 5221 | Shop keepers | 328 |
| 5222 | Shop supervisors | 424 |
| 5223 | Shop sales assistants | 1497 |
| 5230 | Cashiers and ticket clerks | 282 |
| 5240 | Other sales workers | 13 |
| 5241 | Fashion and other models | 3 |
| 5242 | Sales demonstrators | 27 |
| 5243 | Door to door salespersons | 23 |
| 5244 | Contact centre salespersons | 33 |
| 5245 | Service station attendants | 35 |
| 5246 | Food service counter attendants | 88 |
| 5249 | Sales workers not elsewhere classified | 57 |
| 5300 | Personal care workers | 72 |
| 5310 | Child care workers and teachers' aides | 9 |
| 5311 | Child care workers | 450 |
| 5312 | Teachers' aides | 51 |
| 5320 | Personal care workers in health services | 76 |
| 5321 | Health care assistants | 314 |
| 5322 | Home-based personal care workers | 191 |
| 5329 | Personal care workers in health services not elsewhere class | 85 |
| 5400 | Protective services workers | 13 |
| 5410 | Protective services workers | 15 |
| 5411 | Fire-fighters | 86 |
| 5412 | Police officers | 146 |
| 5413 | Prison guards | 46 |
| 5414 | Security guards | 306 |
| 5419 | Protective services workers not elsewhere classified | 52 |
| 6000 | Skilled agricultural, forestry and fishery workers | 14 |
| 6100 | Market-oriented skilled agricultural workers | 15 |
| 6110 | Market gardeners and crop growers | 14 |
| 6111 | Field crop and vegetable growers | 654 |
| 6112 | Tree and shrub crop growers | 97 |
| 6113 | Gardeners, horticultural and nursery growers | 107 |
| 6114 | Mixed crop growers | 17 |
| 6120 | Animal producers | 7 |
| 6121 | Livestock and dairy producers | 165 |
| 6122 | Poultry producers | 16 |
| 6123 | Apiarists and sericulturists | 7 |
| 6129 | Animal producers not elsewhere classified | 8 |
| 6130 | Mixed crop and animal producers | 401 |
| 6200 | Market-oriented skilled forestry, fishery and hunting worker | 0 |
| 6210 | Forestry and related workers | 31 |
| 6220 | Fishery workers, hunters and trappers | 8 |
| 6221 | Aquaculture workers | 9 |
| 6222 | Inland and coastal waters fishery workers | 22 |
| 6223 | Deep-sea fishery workers | 21 |
| 6224 | Hunters and trappers | 1 |
| 6300 | Subsistence farmers, fishers, hunters and gatherers | 81 |
| 6310 | Subsistence crop farmers | 28 |
| 6320 | Subsistence livestock farmers | 12 |
| 6330 | Subsistence mixed crop and livestock farmers | 17 |
| 6340 | Subsistence fishers, hunters, trappers and gatherers | 7 |
| 7000 | Craft and related trades workers | 35 |
| 7100 | Building and related trades workers, excluding electricians | 24 |
| 7110 | Building frame and related trades workers | 26 |
| 7111 | House builders | 118 |
| 7112 | Bricklayers and related workers | 228 |
| 7113 | Stonemasons, stone cutters, splitters and carvers | 55 |
| 7114 | Concrete placers, concrete finishers and related workers | 48 |
| 7115 | Carpenters and joiners | 264 |
| 7119 | Building frame and related trades workers not elsewhere clas | 69 |
| 7120 | Building finishers and related trades workers | 37 |
| 7121 | Roofers | 35 |
| 7122 | Floor layers and tile setters | 41 |
| 7123 | Plasterers | 40 |
| 7124 | Insulation workers | 12 |
| 7125 | Glaziers | 15 |
| 7126 | Plumbers and pipe fitters | 177 |
| 7127 | Air conditioning and refrigeration mechanics | 22 |
| 7130 | Painters, building structure cleaners and related trades wor | 19 |
| 7131 | Painters and related workers | 130 |
| 7132 | Spray painters and varnishers | 20 |
| 7133 | Building structure cleaners | 17 |
| 7200 | Metal, machinery and related trades workers | 47 |
| 7210 | Sheet and structural metal workers, moulders and welders, an | 22 |
| 7211 | Metal moulders and coremakers | 20 |
| 7212 | Welders and flamecutters | 191 |
| 7213 | Sheet-metal workers | 50 |
| 7214 | Structural-metal preparers and erectors | 40 |
| 7215 | Riggers and cable splicers | 7 |
| 7220 | Blacksmiths, toolmakers and related trades workers | 14 |
| 7221 | Blacksmiths, hammersmiths and forging press workers | 39 |
| 7222 | Toolmakers and related workers | 127 |
| 7223 | Metal working machine tool setters and operators | 198 |
| 7224 | Metal polishers, wheel grinders and tool sharpeners | 27 |
| 7230 | Machinery mechanics and repairers | 71 |
| 7231 | Motor vehicle mechanics and repairers | 340 |
| 7232 | Aircraft engine mechanics and repairers | 11 |
| 7233 | Agricultural and industrial machinery mechanics and repairer | 165 |
| 7234 | Bicycle and related repairers | 2 |
| 7300 | Handicraft and printing workers | 5 |
| 7310 | Handicraft workers | 6 |
| 7311 | Precision-instrument makers and repairers | 20 |
| 7312 | Musical instrument makers and tuners | 2 |
| 7313 | Jewellery and precious-metal workers | 25 |
| 7314 | Potters and related workers | 10 |
| 7315 | Glass makers, cutters, grinders and finishers | 18 |
| 7316 | Sign writers, decorative painters, engravers and etchers | 15 |
| 7317 | Handicraft workers in wood, basketry and related materials | 14 |
| 7318 | Handicraft workers in textile, leather and related materials | 68 |
| 7319 | Handicraft workers not elsewhere classified | 20 |
| 7320 | Printing trades workers | 14 |
| 7321 | Pre-press technicians | 21 |
| 7322 | Printers | 51 |
| 7323 | Print finishing and binding workers | 11 |
| 7400 | Electrical and electronic trades workers | 11 |
| 7410 | Electrical equipment installers and repairers | 35 |
| 7411 | Building and related electricians | 201 |
| 7412 | Electrical mechanics and fitters | 83 |
| 7413 | Electrical line installers and repairers | 58 |
| 7420 | Electronics and telecommunications installers and repairers | 8 |
| 7421 | Electronics mechanics and servicers | 81 |
| 7422 | Information and communications technology installers and ser | 37 |
| 7500 | Food processing, wood working, garment and other craft and r | 7 |
| 7510 | Food processing and related trades workers | 27 |
| 7511 | Butchers, fishmongers and related food preparers | 98 |
| 7512 | Bakers, pastry-cooks and confectionery makers | 166 |
| 7513 | Dairy-products makers | 5 |
| 7514 | Fruit, vegetable and related preservers | 10 |
| 7515 | Food and beverage tasters and graders | 7 |
| 7516 | Tobacco preparers and tobacco products makers | 6 |
| 7520 | Wood treaters, cabinet-makers and related trades workers | 13 |
| 7521 | Wood treaters | 20 |
| 7522 | Cabinet-makers and related workers | 108 |
| 7523 | Woodworking-machine tool setters and operators | 14 |
| 7530 | Garment and related trades workers | 17 |
| 7531 | Tailors, dressmakers, furriers and hatters | 160 |
| 7532 | Garment and related pattern-makers and cutters | 20 |
| 7533 | Sewing, embroidery and related workers | 143 |
| 7534 | Upholsterers and related workers | 27 |
| 7535 | Pelt dressers, tanners and fellmongers | 3 |
| 7536 | Shoemakers and related workers | 41 |
| 7540 | Other craft and related workers | 29 |
| 7541 | Underwater divers | 3 |
| 7542 | Shotfirers and blasters | 2 |
| 7543 | Product graders and testers (excluding foods and beverages) | 122 |
| 7544 | Fumigators and other pest and weed controllers | 14 |
| 7549 | Craft and related workers not elsewhere classified | 16 |
| 8000 | Plant and machine operators, and assemblers | 37 |
| 8100 | Stationary plant and machine operators | 48 |
| 8110 | Mining and mineral processing plant operators | 1 |
| 8111 | Miners and quarriers | 45 |
| 8112 | Mineral and stone processing plant operators | 14 |
| 8113 | Well drillers and borers and related workers | 11 |
| 8114 | Cement, stone and other mineral products machine operators | 12 |
| 8120 | Metal processing and finishing plant operators | 21 |
| 8121 | Metal processing plant operators | 84 |
| 8122 | Metal finishing, plating and coating machine operators | 26 |
| 8130 | Chemical and photographic products plant and machine operato | 1 |
| 8131 | Chemical products plant and machine operators | 54 |
| 8132 | Photographic products machine operators | 11 |
| 8140 | Rubber, plastic and paper products machine operators | 10 |
| 8141 | Rubber products machine operators | 20 |
| 8142 | Plastic products machine operators | 41 |
| 8143 | Paper products machine operators | 19 |
| 8150 | Textile, fur and leather products machine operators | 7 |
| 8151 | Fibre preparing, spinning and winding machine operators | 17 |
| 8152 | Weaving and knitting machine operators | 34 |
| 8153 | Sewing machine operators | 130 |
| 8154 | Bleaching, dyeing and fabric cleaning machine operators | 14 |
| 8155 | Fur and leather preparing machine operators | 6 |
| 8156 | Shoemaking and related machine operators | 29 |
| 8157 | Laundry machine operators | 24 |
| 8159 | Textile, fur and leather products machine operators not else | 10 |
| 8160 | Food and related products machine operators | 140 |
| 8170 | Wood processing and papermaking plant operators | 3 |
| 8171 | Pulp and papermaking plant operators | 22 |
| 8172 | Wood processing plant operators | 26 |
| 8180 | Other stationary plant and machine operators | 3 |
| 8181 | Glass and ceramics plant operators | 14 |
| 8182 | Steam engine and boiler operators | 20 |
| 8183 | Packing, bottling and labelling machine operators | 46 |
| 8189 | Stationary plant and machine operators not elsewhere classif | 139 |
| 8200 | Assemblers | 1 |
| 8210 | Assemblers | 16 |
| 8211 | Mechanical machinery assemblers | 67 |
| 8212 | Electrical and electronic equipment assemblers | 97 |
| 8219 | Assemblers not elsewhere classified | 68 |
| 8300 | Drivers and mobile plant operators | 65 |
| 8310 | Locomotive engine drivers and related workers | 5 |
| 8311 | Locomotive engine drivers | 45 |
| 8312 | Railway brake, signal and switch operators | 28 |
| 8320 | Car, van and motorcycle drivers | 29 |
| 8321 | Motorcycle drivers | 45 |
| 8322 | Car, taxi and van drivers | 396 |
| 8330 | Heavy truck and bus drivers | 27 |
| 8331 | Bus and tram drivers | 179 |
| 8332 | Heavy truck and lorry drivers | 403 |
| 8340 | Mobile plant operators | 5 |
| 8341 | Mobile farm and forestry plant operators | 71 |
| 8342 | Earthmoving and related plant operators | 75 |
| 8343 | Crane, hoist and related plant operators | 94 |
| 8344 | Lifting truck operators | 68 |
| 8350 | Ships' deck crews and related workers | 20 |
| 9000 | Elementary occupations | 37 |
| 9100 | Cleaners and helpers | 33 |
| 9110 | Domestic, hotel and office cleaners and helpers | 112 |
| 9111 | Domestic cleaners and helpers | 544 |
| 9112 | Cleaners and helpers in offices, hotels and other establishm | 701 |
| 9120 | Vehicle, window, laundry and other hand cleaning workers | 5 |
| 9121 | Hand launderers and pressers | 256 |
| 9122 | Vehicle cleaners | 21 |
| 9123 | Window cleaners | 1 |
| 9129 | Other cleaning workers | 30 |
| 9200 | Agricultural, forestry and fishery labourers | 13 |
| 9210 | Agricultural, forestry and fishery labourers | 39 |
| 9211 | Crop farm labourers | 167 |
| 9212 | Livestock farm labourers | 101 |
| 9213 | Mixed crop and livestock farm labourers | 23 |
| 9214 | Garden and horticultural labourers | 153 |
| 9215 | Forestry labourers | 19 |
| 9216 | Fishery and aquaculture labourers | 38 |
| 9300 | Labourers in mining, construction, manufacturing and transpo | 93 |
| 9310 | Mining and construction labourers | 13 |
| 9311 | Mining and quarrying labourers | 20 |
| 9312 | Civil engineering labourers | 93 |
| 9313 | Building construction labourers | 293 |
| 9320 | Manufacturing labourers | 93 |
| 9321 | Hand packers | 161 |
| 9329 | Manufacturing labourers not elsewhere classified | 171 |
| 9330 | Transport and storage labourers | 45 |
| 9331 | Hand and pedal vehicle drivers | 17 |
| 9332 | Drivers of animal-drawn vehicles and machinery | 2 |
| 9333 | Freight handlers | 153 |
| 9334 | Shelf fillers | 51 |
| 9400 | Food preparation assistants | 4 |
| 9410 | Food preparation assistants | 11 |
| 9411 | Fast food preparers | 52 |
| 9412 | Kitchen helpers | 150 |
| 9500 | Street and related sales and service workers | 0 |
| 9510 | Street and related service workers | 5 |
| 9520 | Street vendors (excluding food) | 24 |
| 9600 | Refuse workers and other elementary workers | 2 |
| 9610 | Refuse workers | 21 |
| 9611 | Garbage and recycling collectors | 33 |
| 9612 | Refuse sorters | 13 |
| 9613 | Sweepers and related labourers | 59 |
| 9620 | Other elementary workers | 176 |
| 9621 | Messengers, package deliverers and luggage porters | 142 |
| 9622 | Odd job persons | 87 |
| 9623 | Meter readers and vending-machine collectors | 17 |
| 9624 | Water and firewood collectors | 3 |
| 9629 | Elementary workers not elsewhere classified | 118 |
| 0 | NAP (code 3 in WORK), DE: never in full-or half-time empl./n | 5444 |
| 9998 | Don't know, inadequately described | 470 |
| 9999 | No answer | 1953 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41940 | 7867 | 110 | 9629 |
Valid range from 110 to 9629
MAINSTAT Main status
| Value 123267 | Frequency | |
|---|---|---|
| 1 | In paid work | 25545 |
| 2 | Unemployed and looking for a job | 4022 |
| 3 | In education | 2823 |
| 4 | Apprentice or trainee | 266 |
| 5 | Permanently sick or disabled | 1513 |
| 6 | Retired | 10005 |
| 7 | Domestic work | 4031 |
| 8 | In compulsory military service or community service | 49 |
| 9 | Other | 906 |
| 99 | No answer | 647 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49160 | 647 |
Valid range from 1 to 9
PARTLIV Living in steady partnership
| Value 124266 | Frequency | |
|---|---|---|
| 1 | Yes, have partner; live in same household | 28862 |
| 2 | Yes, have partner; don't live in same household | 2590 |
| 3 | No partner | 16252 |
| 0 | Not available (GB) | 1580 |
| 7 | Refused | 150 |
| 9 | No answer | 373 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47704 | 2103 |
Valid range from 1 to 3
SPWORK Spouse, partner: currently, formerly or never in paid work
| Value 125265 | Frequency | |
|---|---|---|
| 1 | Currently in paid work | 18088 |
| 2 | Currently not in paid work, paid work in the past | 8822 |
| 3 | Never had paid work; AT: not in paid work | 3137 |
| 0 | NAP (code 3 or 7 in PARTLIV, US:3-6 in MARITAL); NAV (HU, NL | 19154 |
| 9 | No answer | 606 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 30047 | 19760 |
Valid range from 1 to 3
SPWRKHRS Spouse, partner: hours worked weekly
| Value 126264 | Frequency | |
|---|---|---|
| 1 | One hour | 7 |
| 89 | US: 89 hours and more | 2 |
| 96 | 96 hours or more | 77 |
| 0 | NAP (code 0,2 or 3 (AT, VE: 0,3) in SPWORK); NAV (GB, HU, NL | 31512 |
| 98 | Don't know; TW: incl. time varies | 680 |
| 99 | No answer | 1134 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 16481 | 33326 | 1 | 96 |
Valid range from 1 to 96
SPEMPREL Spouse, partner: employment relationship
| Value 127263 | Frequency | |
|---|---|---|
| 1 | Employee | 21637 |
| 2 | Self-employed without employees | 2556 |
| 3 | Self-employed with employees | 1211 |
| 4 | Working for own family's business | 855 |
| 5 | GB: self-employed with or without employees | 88 |
| 0 | NAP (code 0,3 (DE,GB: 0,2,3) SPWORK); (NL: code 3 PARTLIV); | 22178 |
| 9 | No answer; NL: NA incl. never in paid work | 1282 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 26347 | 23460 |
Valid range from 1 to 5
SPWRKSUP Spouse, partner: supervise other employees
| Value 128262 | Frequency | |
|---|---|---|
| 1 | Yes | 6856 |
| 2 | No | 18516 |
| 0 | NAP (code 0,3 SPWORK); (NL: code 3 PARTLIV); NAV (AT, GB, HU | 22837 |
| 8 | Don't know | 167 |
| 9 | No answer; NL: NA incl. never in paid work | 1431 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 25372 | 24435 |
Valid range from 1 to 2
SPISCO08 Spouse, partner: occupation ISCO/ ILO 2008
| Value 129261 | Frequency | |
|---|---|---|
| 110 | Commissioned armed forces officers | 87 |
| 210 | Non-commissioned armed forces officers | 24 |
| 310 | Armed forces occupations, other ranks | 42 |
| 1000 | Managers | 41 |
| 1100 | Chief executives, senior officials and legislators | 0 |
| 1110 | Legislators and senior officials | 0 |
| 1111 | Legislators | 11 |
| 1112 | Senior government officials | 32 |
| 1113 | Traditional chiefs and heads of village | 9 |
| 1114 | Senior officials of special-interest organizations | 8 |
| 1120 | Managing directors and chief executives | 354 |
| 1200 | Administrative and commercial managers | 22 |
| 1210 | Business services and administration managers | 8 |
| 1211 | Finance managers | 79 |
| 1212 | Human resource managers | 57 |
| 1213 | Policy and planning managers | 34 |
| 1219 | Business services and administration managers not elsewhere | 164 |
| 1220 | Sales, marketing and development managers | 6 |
| 1221 | Sales and marketing managers | 118 |
| 1222 | Advertising and public relations managers | 18 |
| 1223 | Research and development managers | 30 |
| 1300 | Production and specialised services managers | 52 |
| 1310 | Production managers in agriculture, forestry and fisheries | 0 |
| 1311 | Agricultural and forestry production managers | 13 |
| 1312 | Aquaculture and fisheries production managers | 3 |
| 1320 | Manufacturing, mining, construction, and distribution manage | 4 |
| 1321 | Manufacturing managers | 114 |
| 1322 | Mining managers | 10 |
| 1323 | Construction managers | 97 |
| 1324 | Supply, distribution and related managers | 66 |
| 1330 | Information and communications technology service managers | 49 |
| 1340 | Professional services managers | 8 |
| 1341 | Child care services managers | 23 |
| 1342 | Health services managers | 41 |
| 1343 | Aged care services managers | 8 |
| 1344 | Social welfare managers | 13 |
| 1345 | Education managers | 87 |
| 1346 | Financial and insurance services branch managers | 27 |
| 1349 | Professional services managers not elsewhere classified | 35 |
| 1400 | Hospitality, retail and other services managers | 26 |
| 1410 | Hotel and restaurant managers | 18 |
| 1411 | Hotel managers | 23 |
| 1412 | Restaurant managers | 60 |
| 1420 | Retail and wholesale trade managers | 128 |
| 1430 | Other services managers | 2 |
| 1431 | Sports, recreation and cultural centre managers | 14 |
| 1439 | Services managers not elsewhere classified | 47 |
| 2000 | Professionals | 16 |
| 2100 | Science and engineering professionals | 28 |
| 2110 | Physical and earth science professionals | 2 |
| 2111 | Physicists and astronomers | 10 |
| 2112 | Meteorologists | 3 |
| 2113 | Chemists | 15 |
| 2114 | Geologists and geophysicists | 10 |
| 2120 | Mathematicians, actuaries and statisticians | 9 |
| 2130 | Life science professionals | 2 |
| 2131 | Biologists, botanists, zoologists and related professionals | 17 |
| 2132 | Farming, forestry and fisheries advisers | 21 |
| 2133 | Environmental protection professionals | 14 |
| 2140 | Engineering professionals (excluding electrotechnology) | 28 |
| 2141 | Industrial and production engineers | 46 |
| 2142 | Civil engineers | 65 |
| 2143 | Environmental engineers | 5 |
| 2144 | Mechanical engineers | 62 |
| 2145 | Chemical engineers | 20 |
| 2146 | Mining engineers, metallurgists and related professionals | 11 |
| 2149 | Engineering professionals not elsewhere classified | 78 |
| 2150 | Electrotechnology engineers | 5 |
| 2151 | Electrical engineers | 38 |
| 2152 | Electronics engineers | 19 |
| 2153 | Telecommunications engineers | 8 |
| 2160 | Architects, planners, surveyors and designers | 24 |
| 2161 | Building architects | 65 |
| 2162 | Landscape architects | 5 |
| 2163 | Product and garment designers | 21 |
| 2164 | Town and traffic planners | 15 |
| 2165 | Cartographers and surveyors | 9 |
| 2166 | Graphic and multimedia designers | 37 |
| 2200 | Health professionals | 8 |
| 2210 | Medical doctors | 38 |
| 2211 | Generalist medical practitioners | 67 |
| 2212 | Specialist medical practitioners | 69 |
| 2220 | Nursing and midwifery professionals | 55 |
| 2221 | Nursing professionals | 225 |
| 2222 | Midwifery professionals | 16 |
| 2230 | Traditional and complementary medicine professionals | 8 |
| 2240 | Paramedical practitioners | 13 |
| 2250 | Veterinarians | 23 |
| 2260 | Other health professionals | 3 |
| 2261 | Dentists | 35 |
| 2262 | Pharmacists | 45 |
| 2263 | Environmental and occupational health and hygiene profession | 31 |
| 2264 | Physiotherapists | 53 |
| 2265 | Dieticians and nutritionists | 8 |
| 2266 | Audiologists and speech therapists | 3 |
| 2267 | Optometrists and ophthalmic opticians | 1 |
| 2269 | Health professionals not elsewhere classified | 30 |
| 2300 | Teaching professionals | 89 |
| 2310 | University and higher education teachers | 163 |
| 2320 | Vocational education teachers | 86 |
| 2330 | Secondary education teachers | 373 |
| 2340 | Primary school and early childhood teachers | 31 |
| 2341 | Primary school teachers | 439 |
| 2342 | Early childhood educators | 156 |
| 2350 | Other teaching professionals | 13 |
| 2351 | Education methods specialists | 30 |
| 2352 | Special needs teachers | 37 |
| 2353 | Other language teachers | 28 |
| 2354 | Other music teachers | 19 |
| 2355 | Other arts teachers | 11 |
| 2356 | Information technology trainers | 3 |
| 2359 | Teaching professionals not elsewhere classified | 66 |
| 2400 | Business and administration professionals | 44 |
| 2410 | Finance professionals | 7 |
| 2411 | Accountants | 204 |
| 2412 | Financial and investment advisers | 50 |
| 2413 | Financial analysts | 26 |
| 2420 | Administration professionals | 3 |
| 2421 | Management and organization analysts | 46 |
| 2422 | Policy administration professionals | 56 |
| 2423 | Personnel and careers professionals | 50 |
| 2424 | Training and staff development professionals | 26 |
| 2430 | Sales, marketing and public relations professionals | 9 |
| 2431 | Advertising and marketing professionals | 53 |
| 2432 | Public relations professionals | 14 |
| 2433 | Technical and medical sales professionals (excluding ICT) | 17 |
| 2434 | Information and communications technology sales professional | 11 |
| 2500 | Information and communications technology professionals | 38 |
| 2510 | Software and applications developers and analysts | 34 |
| 2511 | Systems analysts | 48 |
| 2512 | Software developers | 58 |
| 2513 | Web and multimedia developers | 11 |
| 2514 | Applications programmers | 32 |
| 2519 | Software and applications developers and analysts not elsewh | 28 |
| 2520 | Database and network professionals | 3 |
| 2521 | Database designers and administrators | 10 |
| 2522 | Systems administrators | 19 |
| 2523 | Computer network professionals | 10 |
| 2529 | Database and network professionals not elsewhere classified | 5 |
| 2600 | Legal, social and cultural professionals | 0 |
| 2610 | Legal professionals | 5 |
| 2611 | Lawyers | 100 |
| 2612 | Judges | 11 |
| 2619 | Legal professionals not elsewhere classified | 41 |
| 2620 | Librarians, archivists and curators | 3 |
| 2621 | Archivists and curators | 11 |
| 2622 | Librarians and related information professionals | 25 |
| 2630 | Social and religious professionals | 5 |
| 2631 | Economists | 70 |
| 2632 | Sociologists, anthropologists and related professionals | 16 |
| 2633 | Philosophers, historians and political scientists | 2 |
| 2634 | Psychologists | 52 |
| 2635 | Social work and counselling professionals | 120 |
| 2636 | Religious professionals | 38 |
| 2640 | Authors, journalists and linguists | 11 |
| 2641 | Authors and related writers | 13 |
| 2642 | Journalists | 56 |
| 2643 | Translators, interpreters and other linguists | 26 |
| 2650 | Creative and performing artists | 5 |
| 2651 | Visual artists | 31 |
| 2652 | Musicians, singers and composers | 42 |
| 2653 | Dancers and choreographers | 4 |
| 2654 | Film, stage and related directors and producers | 14 |
| 2655 | Actors | 10 |
| 2656 | Announcers on radio, television and other media | 4 |
| 2659 | Creative and performing artists not elsewhere classified | 7 |
| 3000 | Technicians and associate professionals | 18 |
| 3100 | Science and engineering associate professionals | 31 |
| 3110 | Physical and engineering science technicians | 34 |
| 3111 | Chemical and physical science technicians | 19 |
| 3112 | Civil engineering technicians | 56 |
| 3113 | Electrical engineering technicians | 38 |
| 3114 | Electronics engineering technicians | 51 |
| 3115 | Mechanical engineering technicians | 49 |
| 3116 | Chemical engineering technicians | 7 |
| 3117 | Mining and metallurgical technicians | 12 |
| 3118 | Draughtspersons | 39 |
| 3119 | Physical and engineering science technicians not elsewhere c | 41 |
| 3120 | Mining, manufacturing and construction supervisors | 34 |
| 3121 | Mining supervisors | 23 |
| 3122 | Manufacturing supervisors | 125 |
| 3123 | Construction supervisors | 110 |
| 3130 | Process control technicians | 17 |
| 3131 | Power production plant operators | 3 |
| 3132 | Incinerator and water treatment plant operators | 5 |
| 3133 | Chemical processing plant controllers | 3 |
| 3134 | Petroleum and natural gas refining plant operators | 8 |
| 3135 | Metal production process controllers | 5 |
| 3139 | Process control technicians not elsewhere classified | 13 |
| 3140 | Life science technicians and related associate professionals | 2 |
| 3141 | Life science technicians (excluding medical) | 14 |
| 3142 | Agricultural technicians | 5 |
| 3143 | Forestry technicians | 5 |
| 3150 | Ship and aircraft controllers and technicians | 1 |
| 3151 | Ships' engineers | 18 |
| 3152 | Ships' deck officers and pilots | 25 |
| 3153 | Aircraft pilots and related associate professionals | 11 |
| 3154 | Air traffic controllers | 10 |
| 3155 | Air traffic safety electronics technicians | 2 |
| 3200 | Health associate professionals | 11 |
| 3210 | Medical and pharmaceutical technicians | 9 |
| 3211 | Medical imaging and therapeutic equipment technicians | 22 |
| 3212 | Medical and pathology laboratory technicians | 50 |
| 3213 | Pharmaceutical technicians and assistants | 26 |
| 3214 | Medical and dental prosthetic technicians | 11 |
| 3220 | Nursing and midwifery associate professionals | 10 |
| 3221 | Nursing associate professionals | 269 |
| 3222 | Midwifery associate professionals | 2 |
| 3230 | Traditional and complementary medicine associate professiona | 8 |
| 3240 | Veterinary technicians and assistants | 4 |
| 3250 | Other health associate professionals | 2 |
| 3251 | Dental assistants and therapists | 31 |
| 3252 | Medical records and health information technicians | 6 |
| 3253 | Community health workers | 6 |
| 3254 | Dispensing opticians | 5 |
| 3255 | Physiotherapy technicians and assistants | 23 |
| 3256 | Medical assistants | 57 |
| 3257 | Environmental and occupational health inspectors and associa | 20 |
| 3258 | Ambulance workers | 20 |
| 3259 | Health associate professionals not elsewhere classified | 22 |
| 3300 | Business and administration associate professionals | 31 |
| 3310 | Financial and mathematical associate professionals | 10 |
| 3311 | Securities and finance dealers and brokers | 22 |
| 3312 | Credit and loans officers | 34 |
| 3313 | Accounting associate professionals | 187 |
| 3314 | Statistical, mathematical and related associate professional | 9 |
| 3315 | Valuers and loss assessors | 7 |
| 3320 | Sales and purchasing agents and brokers | 60 |
| 3321 | Insurance representatives | 99 |
| 3322 | Commercial sales representatives | 254 |
| 3323 | Buyers | 68 |
| 3324 | Trade brokers | 44 |
| 3330 | Business services agents | 3 |
| 3331 | Clearing and forwarding agents | 25 |
| 3332 | Conference and event planners | 7 |
| 3333 | Employment agents and contractors | 22 |
| 3334 | Real estate agents and property managers | 96 |
| 3339 | Business services agents not elsewhere classified | 33 |
| 3340 | Administrative and specialised secretaries | 22 |
| 3341 | Office supervisors | 229 |
| 3342 | Legal secretaries | 11 |
| 3343 | Administrative and executive secretaries | 115 |
| 3344 | Medical secretaries | 31 |
| 3350 | Regulatory government associate professionals | 21 |
| 3351 | Customs and border inspectors | 17 |
| 3352 | Government tax and excise officials | 26 |
| 3353 | Government social benefits officials | 20 |
| 3354 | Government licensing officials | 25 |
| 3355 | Police inspectors and detectives | 43 |
| 3359 | Regulatory government associate professionals not elsewhere | 45 |
| 3400 | Legal, social, cultural and related associate professionals | 0 |
| 3410 | Legal, social and religious associate professionals | 1 |
| 3411 | Police inspectors and detectives | 31 |
| 3412 | Social work associate professionals | 91 |
| 3413 | Religious associate professionals | 7 |
| 3420 | Sports and fitness workers | 8 |
| 3421 | Athletes and sports players | 8 |
| 3422 | Sports coaches, instructors and officials | 15 |
| 3423 | Fitness and recreation instructors and program leaders | 18 |
| 3430 | Artistic, cultural and culinary associate professionals | 1 |
| 3431 | Photographers | 22 |
| 3432 | Interior designers and decorators | 41 |
| 3433 | Gallery, museum and library technicians | 10 |
| 3434 | Chefs | 41 |
| 3435 | Other artistic and cultural associate professionals | 31 |
| 3500 | Information and communications technicians | 1 |
| 3510 | Information and communications technology operations and use | 22 |
| 3511 | Information and communications technology operations technic | 29 |
| 3512 | Information and communications technology user support techn | 19 |
| 3513 | Computer network and systems technicians | 30 |
| 3514 | Web technicians | 6 |
| 3520 | Telecommunications and broadcasting technicians | 3 |
| 3521 | Broadcasting and audio-visual technicians | 20 |
| 3522 | Telecommunications engineering technicians | 13 |
| 4000 | Clerical support workers | 25 |
| 4100 | General and keyboard clerks | 83 |
| 4110 | General office clerks | 594 |
| 4120 | Secretaries (general) | 262 |
| 4130 | Keyboard operators | 10 |
| 4131 | Typists and word processing operators | 30 |
| 4132 | Data entry clerks | 22 |
| 4200 | Customer services clerks | 11 |
| 4210 | Tellers, money collectors and related clerks | 14 |
| 4211 | Bank tellers and related clerks | 143 |
| 4212 | Bookmakers, croupiers and related gaming workers | 10 |
| 4213 | Pawnbrokers and money-lenders | 0 |
| 4214 | Debt-collectors and related workers | 21 |
| 4220 | Client information workers | 37 |
| 4221 | Travel consultants and clerks | 26 |
| 4222 | Contact centre information clerks | 27 |
| 4223 | Telephone switchboard operators | 29 |
| 4224 | Hotel receptionists | 18 |
| 4225 | Enquiry clerks | 30 |
| 4226 | Receptionists (general) | 51 |
| 4227 | Survey and market research interviewers | 6 |
| 4229 | Client information workers not elsewhere classified | 14 |
| 4300 | Numerical and material recording clerks | 3 |
| 4310 | Numerical clerks | 19 |
| 4311 | Accounting and bookkeeping clerks | 227 |
| 4312 | Statistical, finance and insurance clerks | 50 |
| 4313 | Payroll clerks | 24 |
| 4320 | Material-recording and transport clerks | 5 |
| 4321 | Stock clerks | 164 |
| 4322 | Production clerks | 53 |
| 4323 | Transport clerks | 51 |
| 4400 | Other clerical support workers | 0 |
| 4410 | Other clerical support workers | 6 |
| 4411 | Library clerks | 13 |
| 4412 | Mail carriers and sorting clerks | 75 |
| 4413 | Coding, proof-reading and related clerks | 5 |
| 4414 | Scribes and related workers | 3 |
| 4415 | Filing and copying clerks | 4 |
| 4416 | Personnel clerks | 18 |
| 4419 | Clerical support workers not elsewhere classified | 52 |
| 5000 | Service and sales workers | 6 |
| 5100 | Personal service workers | 21 |
| 5110 | Travel attendants, conductors and guides | 1 |
| 5111 | Travel attendants and travel stewards | 18 |
| 5112 | Transport conductors | 11 |
| 5113 | Travel guides | 13 |
| 5120 | Cooks | 250 |
| 5130 | Waiters and bartenders | 33 |
| 5131 | Waiters | 171 |
| 5132 | Bartenders | 17 |
| 5140 | Hairdressers, beauticians and related workers | 33 |
| 5141 | Hairdressers | 109 |
| 5142 | Beauticians and related workers | 47 |
| 5150 | Building and housekeeping supervisors | 4 |
| 5151 | Cleaning and housekeeping supervisors in offices, hotels and | 34 |
| 5152 | Domestic housekeepers | 20 |
| 5153 | Building caretakers | 88 |
| 5160 | Other personal services workers | 8 |
| 5161 | Astrologers, fortune-tellers and related workers | 2 |
| 5162 | Companions and valets | 1 |
| 5163 | Undertakers and embalmers | 10 |
| 5164 | Pet groomers and animal care workers | 17 |
| 5165 | Driving instructors | 10 |
| 5169 | Personal services workers not elsewhere classified | 20 |
| 5200 | Sales workers | 52 |
| 5210 | Street and market salespersons | 18 |
| 5211 | Stall and market salespersons | 133 |
| 5212 | Street food salespersons | 43 |
| 5220 | Shop salespersons | 54 |
| 5221 | Shop keepers | 224 |
| 5222 | Shop supervisors | 224 |
| 5223 | Shop sales assistants | 917 |
| 5230 | Cashiers and ticket clerks | 96 |
| 5240 | Other sales workers | 8 |
| 5241 | Fashion and other models | 2 |
| 5242 | Sales demonstrators | 20 |
| 5243 | Door to door salespersons | 8 |
| 5244 | Contact centre salespersons | 10 |
| 5245 | Service station attendants | 12 |
| 5246 | Food service counter attendants | 22 |
| 5249 | Sales workers not elsewhere classified | 50 |
| 5300 | Personal care workers | 57 |
| 5310 | Child care workers and teachers' aides | 5 |
| 5311 | Child care workers | 267 |
| 5312 | Teachers' aides | 33 |
| 5320 | Personal care workers in health services | 22 |
| 5321 | Health care assistants | 178 |
| 5322 | Home-based personal care workers | 99 |
| 5329 | Personal care workers in health services not elsewhere class | 65 |
| 5400 | Protective services workers | 8 |
| 5410 | Protective services workers | 8 |
| 5411 | Fire-fighters | 47 |
| 5412 | Police officers | 138 |
| 5413 | Prison guards | 23 |
| 5414 | Security guards | 211 |
| 5419 | Protective services workers not elsewhere classified | 25 |
| 6000 | Skilled agricultural, forestry and fishery workers | 14 |
| 6100 | Market-oriented skilled agricultural workers | 14 |
| 6110 | Market gardeners and crop growers | 12 |
| 6111 | Field crop and vegetable growers | 444 |
| 6112 | Tree and shrub crop growers | 63 |
| 6113 | Gardeners, horticultural and nursery growers | 58 |
| 6114 | Mixed crop growers | 18 |
| 6120 | Animal producers | 6 |
| 6121 | Livestock and dairy producers | 107 |
| 6122 | Poultry producers | 7 |
| 6123 | Apiarists and sericulturists | 2 |
| 6129 | Animal producers not elsewhere classified | 4 |
| 6130 | Mixed crop and animal producers | 221 |
| 6200 | Market-oriented skilled forestry, fishery and hunting worker | 0 |
| 6210 | Forestry and related workers | 39 |
| 6220 | Fishery workers, hunters and trappers | 6 |
| 6221 | Aquaculture workers | 5 |
| 6222 | Inland and coastal waters fishery workers | 13 |
| 6223 | Deep-sea fishery workers | 14 |
| 6224 | Hunters and trappers | 1 |
| 6300 | Subsistence farmers, fishers, hunters and gatherers | 34 |
| 6310 | Subsistence crop farmers | 14 |
| 6320 | Subsistence livestock farmers | 10 |
| 6330 | Subsistence mixed crop and livestock farmers | 14 |
| 6340 | Subsistence fishers, hunters, trappers and gatherers | 2 |
| 7000 | Craft and related trades workers | 19 |
| 7100 | Building and related trades workers, excluding electricians | 38 |
| 7110 | Building frame and related trades workers | 23 |
| 7111 | House builders | 112 |
| 7112 | Bricklayers and related workers | 201 |
| 7113 | Stonemasons, stone cutters, splitters and carvers | 10 |
| 7114 | Concrete placers, concrete finishers and related workers | 23 |
| 7115 | Carpenters and joiners | 183 |
| 7119 | Building frame and related trades workers not elsewhere clas | 31 |
| 7120 | Building finishers and related trades workers | 22 |
| 7121 | Roofers | 19 |
| 7122 | Floor layers and tile setters | 44 |
| 7123 | Plasterers | 30 |
| 7124 | Insulation workers | 11 |
| 7125 | Glaziers | 21 |
| 7126 | Plumbers and pipe fitters | 114 |
| 7127 | Air conditioning and refrigeration mechanics | 23 |
| 7130 | Painters, building structure cleaners and related trades wor | 6 |
| 7131 | Painters and related workers | 83 |
| 7132 | Spray painters and varnishers | 19 |
| 7133 | Building structure cleaners | 6 |
| 7200 | Metal, machinery and related trades workers | 28 |
| 7210 | Sheet and structural metal workers, moulders and welders, an | 8 |
| 7211 | Metal moulders and coremakers | 28 |
| 7212 | Welders and flamecutters | 133 |
| 7213 | Sheet-metal workers | 38 |
| 7214 | Structural-metal preparers and erectors | 29 |
| 7215 | Riggers and cable splicers | 4 |
| 7220 | Blacksmiths, toolmakers and related trades workers | 4 |
| 7221 | Blacksmiths, hammersmiths and forging press workers | 31 |
| 7222 | Toolmakers and related workers | 89 |
| 7223 | Metal working machine tool setters and operators | 89 |
| 7224 | Metal polishers, wheel grinders and tool sharpeners | 14 |
| 7230 | Machinery mechanics and repairers | 42 |
| 7231 | Motor vehicle mechanics and repairers | 275 |
| 7232 | Aircraft engine mechanics and repairers | 19 |
| 7233 | Agricultural and industrial machinery mechanics and repairer | 124 |
| 7234 | Bicycle and related repairers | 3 |
| 7300 | Handicraft and printing workers | 2 |
| 7310 | Handicraft workers | 1 |
| 7311 | Precision-instrument makers and repairers | 21 |
| 7312 | Musical instrument makers and tuners | 6 |
| 7313 | Jewellery and precious-metal workers | 11 |
| 7314 | Potters and related workers | 12 |
| 7315 | Glass makers, cutters, grinders and finishers | 8 |
| 7316 | Sign writers, decorative painters, engravers and etchers | 10 |
| 7317 | Handicraft workers in wood, basketry and related materials | 8 |
| 7318 | Handicraft workers in textile, leather and related materials | 23 |
| 7319 | Handicraft workers not elsewhere classified | 15 |
| 7320 | Printing trades workers | 5 |
| 7321 | Pre-press technicians | 9 |
| 7322 | Printers | 50 |
| 7323 | Print finishing and binding workers | 13 |
| 7400 | Electrical and electronic trades workers | 6 |
| 7410 | Electrical equipment installers and repairers | 17 |
| 7411 | Building and related electricians | 163 |
| 7412 | Electrical mechanics and fitters | 66 |
| 7413 | Electrical line installers and repairers | 24 |
| 7420 | Electronics and telecommunications installers and repairers | 5 |
| 7421 | Electronics mechanics and servicers | 37 |
| 7422 | Information and communications technology installers and ser | 27 |
| 7500 | Food processing, wood working, garment and other craft and r | 2 |
| 7510 | Food processing and related trades workers | 19 |
| 7511 | Butchers, fishmongers and related food preparers | 66 |
| 7512 | Bakers, pastry-cooks and confectionery makers | 87 |
| 7513 | Dairy-products makers | 2 |
| 7514 | Fruit, vegetable and related preservers | 3 |
| 7515 | Food and beverage tasters and graders | 5 |
| 7516 | Tobacco preparers and tobacco products makers | 3 |
| 7520 | Wood treaters, cabinet-makers and related trades workers | 9 |
| 7521 | Wood treaters | 17 |
| 7522 | Cabinet-makers and related workers | 80 |
| 7523 | Woodworking-machine tool setters and operators | 15 |
| 7530 | Garment and related trades workers | 7 |
| 7531 | Tailors, dressmakers, furriers and hatters | 74 |
| 7532 | Garment and related pattern-makers and cutters | 12 |
| 7533 | Sewing, embroidery and related workers | 77 |
| 7534 | Upholsterers and related workers | 11 |
| 7535 | Pelt dressers, tanners and fellmongers | 2 |
| 7536 | Shoemakers and related workers | 25 |
| 7540 | Other craft and related workers | 4 |
| 7541 | Underwater divers | 1 |
| 7542 | Shotfirers and blasters | 5 |
| 7543 | Product graders and testers (excluding foods and beverages) | 49 |
| 7544 | Fumigators and other pest and weed controllers | 0 |
| 7549 | Craft and related workers not elsewhere classified | 5 |
| 8000 | Plant and machine operators, and assemblers | 16 |
| 8100 | Stationary plant and machine operators | 30 |
| 8110 | Mining and mineral processing plant operators | 0 |
| 8111 | Miners and quarriers | 40 |
| 8112 | Mineral and stone processing plant operators | 4 |
| 8113 | Well drillers and borers and related workers | 5 |
| 8114 | Cement, stone and other mineral products machine operators | 4 |
| 8120 | Metal processing and finishing plant operators | 10 |
| 8121 | Metal processing plant operators | 52 |
| 8122 | Metal finishing, plating and coating machine operators | 17 |
| 8130 | Chemical and photographic products plant and machine operato | 0 |
| 8131 | Chemical products plant and machine operators | 23 |
| 8132 | Photographic products machine operators | 7 |
| 8140 | Rubber, plastic and paper products machine operators | 3 |
| 8141 | Rubber products machine operators | 10 |
| 8142 | Plastic products machine operators | 39 |
| 8143 | Paper products machine operators | 8 |
| 8150 | Textile, fur and leather products machine operators | 3 |
| 8151 | Fibre preparing, spinning and winding machine operators | 19 |
| 8152 | Weaving and knitting machine operators | 11 |
| 8153 | Sewing machine operators | 81 |
| 8154 | Bleaching, dyeing and fabric cleaning machine operators | 8 |
| 8155 | Fur and leather preparing machine operators | 1 |
| 8156 | Shoemaking and related machine operators | 16 |
| 8157 | Laundry machine operators | 11 |
| 8159 | Textile, fur and leather products machine operators not else | 8 |
| 8160 | Food and related products machine operators | 84 |
| 8170 | Wood processing and papermaking plant operators | 0 |
| 8171 | Pulp and papermaking plant operators | 16 |
| 8172 | Wood processing plant operators | 37 |
| 8180 | Other stationary plant and machine operators | 4 |
| 8181 | Glass and ceramics plant operators | 11 |
| 8182 | Steam engine and boiler operators | 12 |
| 8183 | Packing, bottling and labelling machine operators | 37 |
| 8189 | Stationary plant and machine operators not elsewhere classif | 77 |
| 8200 | Assemblers | 0 |
| 8210 | Assemblers | 10 |
| 8211 | Mechanical machinery assemblers | 56 |
| 8212 | Electrical and electronic equipment assemblers | 33 |
| 8219 | Assemblers not elsewhere classified | 31 |
| 8300 | Drivers and mobile plant operators | 61 |
| 8310 | Locomotive engine drivers and related workers | 1 |
| 8311 | Locomotive engine drivers | 36 |
| 8312 | Railway brake, signal and switch operators | 14 |
| 8320 | Car, van and motorcycle drivers | 30 |
| 8321 | Motorcycle drivers | 28 |
| 8322 | Car, taxi and van drivers | 337 |
| 8330 | Heavy truck and bus drivers | 13 |
| 8331 | Bus and tram drivers | 118 |
| 8332 | Heavy truck and lorry drivers | 328 |
| 8340 | Mobile plant operators | 5 |
| 8341 | Mobile farm and forestry plant operators | 47 |
| 8342 | Earthmoving and related plant operators | 56 |
| 8343 | Crane, hoist and related plant operators | 79 |
| 8344 | Lifting truck operators | 45 |
| 8350 | Ships' deck crews and related workers | 22 |
| 9000 | Elementary occupations | 11 |
| 9100 | Cleaners and helpers | 24 |
| 9110 | Domestic, hotel and office cleaners and helpers | 31 |
| 9111 | Domestic cleaners and helpers | 229 |
| 9112 | Cleaners and helpers in offices, hotels and other establishm | 380 |
| 9120 | Vehicle, window, laundry and other hand cleaning workers | 2 |
| 9121 | Hand launderers and pressers | 170 |
| 9122 | Vehicle cleaners | 7 |
| 9123 | Window cleaners | 2 |
| 9129 | Other cleaning workers | 13 |
| 9200 | Agricultural, forestry and fishery labourers | 5 |
| 9210 | Agricultural, forestry and fishery labourers | 13 |
| 9211 | Crop farm labourers | 87 |
| 9212 | Livestock farm labourers | 42 |
| 9213 | Mixed crop and livestock farm labourers | 6 |
| 9214 | Garden and horticultural labourers | 70 |
| 9215 | Forestry labourers | 15 |
| 9216 | Fishery and aquaculture labourers | 28 |
| 9300 | Labourers in mining, construction, manufacturing and transpo | 71 |
| 9310 | Mining and construction labourers | 3 |
| 9311 | Mining and quarrying labourers | 10 |
| 9312 | Civil engineering labourers | 49 |
| 9313 | Building construction labourers | 182 |
| 9320 | Manufacturing labourers | 44 |
| 9321 | Hand packers | 63 |
| 9329 | Manufacturing labourers not elsewhere classified | 109 |
| 9330 | Transport and storage labourers | 17 |
| 9331 | Hand and pedal vehicle drivers | 14 |
| 9332 | Drivers of animal-drawn vehicles and machinery | 1 |
| 9333 | Freight handlers | 101 |
| 9334 | Shelf fillers | 32 |
| 9400 | Food preparation assistants | 2 |
| 9410 | Food preparation assistants | 3 |
| 9411 | Fast food preparers | 12 |
| 9412 | Kitchen helpers | 63 |
| 9500 | Street and related sales and service workers | 0 |
| 9510 | Street and related service workers | 1 |
| 9520 | Street vendors (excluding food) | 11 |
| 9600 | Refuse workers and other elementary workers | 3 |
| 9610 | Refuse workers | 26 |
| 9611 | Garbage and recycling collectors | 24 |
| 9612 | Refuse sorters | 5 |
| 9613 | Sweepers and related labourers | 33 |
| 9620 | Other elementary workers | 141 |
| 9621 | Messengers, package deliverers and luggage porters | 77 |
| 9622 | Odd job persons | 57 |
| 9623 | Meter readers and vending-machine collectors | 6 |
| 9624 | Water and firewood collectors | 1 |
| 9629 | Elementary workers not elsewhere classified | 61 |
| 0 | NAP (code 0,3 (DE,GB: 0,2,3) SPWORK; (NL: code 3 in PARTLIV) | 21765 |
| 9998 | Don't know, inadequately described | 588 |
| 9999 | No answer, NL: NA incl. never in paid work | 2287 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 25167 | 24640 | 110 | 9629 |
Valid range from 110 to 9629
SPMAINST Spouse, partner: main status
| Value 130260 | Frequency | |
|---|---|---|
| 1 | In paid work | 17701 |
| 2 | Unemployed and looking for a job | 1731 |
| 3 | In education | 562 |
| 4 | Apprentice or trainee | 70 |
| 5 | Permanently sick or disabled | 622 |
| 6 | Retired | 5563 |
| 7 | Domestic work | 3032 |
| 8 | In compulsory military service or community service | 20 |
| 9 | Other | 381 |
| 0 | NAP (code 3, 7 in PARTLIV, US:3-6 in MARITAL); NAV (HU, NL) | 19158 |
| 99 | No answer | 967 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 29682 | 20125 |
Valid range from 1 to 9
UNION Trade union membership
| Value 131259 | Frequency | |
|---|---|---|
| 1 | Yes, currently | 9097 |
| 2 | Yes, previously, but not currently | 10421 |
| 3 | No, never | 27577 |
| 0 | NAP (JP: code 3 in WORK; CL: no job, KR: self-employed, not | 1484 |
| 7 | Refused | 134 |
| 9 | No answer | 1094 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47095 | 2712 |
Valid range from 1 to 3
AT_RELIG Country specific religious affiliation or denomination: Austria
| Value 132258 | Frequency | |
|---|---|---|
| 0 | No religion | 175 |
| 1 | Catholic | 721 |
| 2 | Lutheran | 67 |
| 3 | Protestant free church | 0 |
| 4 | Orthodox | 22 |
| 5 | Other Christians | 2 |
| 6 | Islamic | 33 |
| 7 | Other Non-Christians | 4 |
| 990 | NAP, other countries | 48774 |
| 999 | No answer | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1024 | 48783 |
Valid range from 0 to 7
AU_RELIG Country specific religious affiliation or denomination: Australia
| Value 133257 | Frequency | |
|---|---|---|
| 0 | No religion | 488 |
| 1 | Catholic | 326 |
| 2 | Protestant | 90 |
| 3 | Anglican/ Church of England | 218 |
| 4 | Uniting Church/ Methodist | 66 |
| 5 | Pentecostal | 28 |
| 6 | Orthodox | 25 |
| 7 | Other Christian | 66 |
| 8 | Jewish | 7 |
| 9 | Islamic | 12 |
| 10 | Buddhist | 18 |
| 11 | Hindu | 11 |
| 12 | Other Asian religions | 1 |
| 13 | Other religions | 14 |
| 990 | NAP, other countries | 48375 |
| 999 | No answer | 62 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1370 | 48437 |
Valid range from 0 to 13
BE_RELIG Country specific religious affiliation or denomination: Belgium
| Value 134256 | Frequency | |
|---|---|---|
| 0 | No religion | 816 |
| 1 | Roman Catholic | 676 |
| 2 | Protestant | 30 |
| 4 | Other Christian groups | 353 |
| 5 | Jewish | 4 |
| 6 | Islamic | 132 |
| 10 | Other religions | 39 |
| 990 | NAP, other countries | 47543 |
| 999 | No answer | 214 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2050 | 47757 |
Valid range from 0 to 10
CH_RELIG Country specific religious affiliation or denomination: Switzerland
| Value 135255 | Frequency | |
|---|---|---|
| 0 | No religion | 341 |
| 100 | Roman Catholic | 397 |
| 200 | Protestant | 330 |
| 290 | Other Protestant (no specific religion mentioned) | 28 |
| 300 | Orthodox | 21 |
| 400 | Other Christian Religions | 24 |
| 500 | Jewish | 3 |
| 600 | Islam | 54 |
| 700 | Buddhism | 14 |
| 800 | Hinduism | 1 |
| 970 | Other non-Christian Religions | 4 |
| 990 | NAP, other countries | 48572 |
| 997 | Refused | 1 |
| 999 | No answer | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1217 | 48590 |
Valid range from 0 to 970
CL_RELIG Country specific religious affiliation or denomination: Chile
| Value 136254 | Frequency | |
|---|---|---|
| 0 | No religion | 271 |
| 1 | Catholic | 882 |
| 2 | Evangelical | 209 |
| 3 | Jehovah's Witnesses | 13 |
| 4 | Jews | 0 |
| 5 | Mormons | 8 |
| 6 | Muslim | 1 |
| 7 | Orthodox | 2 |
| 8 | Other | 27 |
| 990 | NAP, other countries | 48375 |
| 999 | No answer | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1413 | 48394 |
Valid range from 0 to 8
CZ_RELIG Country specific religious affiliation or denomination: Czech Republic
| Value 137253 | Frequency | |
|---|---|---|
| 0 | No religion | 1021 |
| 1 | Roman Catholic | 408 |
| 2 | Czech-Brethren Evangelical Church | 25 |
| 3 | Czechoslovak Hussite | 12 |
| 4 | Other Christians | 12 |
| 5 | Other Non-Christians | 8 |
| 990 | NAP, other countries | 48275 |
| 999 | No answer | 46 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1486 | 48321 |
Valid range from 0 to 5
DE_RELIG Country specific religious affiliation or denomination: Germany
| Value 138252 | Frequency | |
|---|---|---|
| 0 | No religion | 661 |
| 1 | Roman Catholic | 428 |
| 2 | German Protestant church | 491 |
| 3 | Protestant Free Church | 32 |
| 4 | Orthodox | 26 |
| 5 | Other Christian denomination | 20 |
| 6 | Islamic religion | 47 |
| 7 | Jewish religion | 0 |
| 8 | Buddhist religion | 1 |
| 9 | Hindu religion | 1 |
| 10 | Another non-Christian religion | 6 |
| 990 | NAP, other countries | 48089 |
| 997 | Refused | 3 |
| 999 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1713 | 48094 |
Valid range from 0 to 10
DK_RELIG Country specific religious affiliation or denomination: Denmark
| Value 139251 | Frequency | |
|---|---|---|
| 0 | No religion | 285 |
| 100 | Roman Catholic | 13 |
| 250 | Lutheran | 1407 |
| 500 | Jewish | 0 |
| 600 | Islam | 13 |
| 960 | Other religions | 15 |
| 990 | NAP, other countries | 48049 |
| 998 | Don't know | 25 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1733 | 48074 |
Valid range from 0 to 960
ES_RELIG Country specific religious affiliation or denomination: Spain
| Value 140250 | Frequency | |
|---|---|---|
| 0 | No religion | 414 |
| 100 | Roman Catholic | 1215 |
| 200 | Protestant | 6 |
| 220 | Baptist | 0 |
| 250 | Lutheran | 0 |
| 282 | Jehovah's Witnesses | 4 |
| 290 | Evangelical Church | 22 |
| 390 | Orthodox | 21 |
| 400 | Other Christian | 2 |
| 600 | Islam | 15 |
| 700 | Buddhist | 5 |
| 800 | Hinduism | 1 |
| 960 | Other religions | 3 |
| 990 | NAP, other countries | 48052 |
| 999 | No answer | 47 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1708 | 48099 |
Valid range from 0 to 960
FI_RELIG Country specific religious affiliation or denomination: Finland
| Value 141249 | Frequency | |
|---|---|---|
| 0 | No religion | 349 |
| 1 | The Evangelical Lutheran Church of Finland | 1040 |
| 2 | Finnish Orthodox Church | 21 |
| 3 | Catholic Church of Finland | 9 |
| 4 | Other Christian Church or denomination | 30 |
| 6 | Islam/ Muslim | 5 |
| 7 | Buddhist | 1 |
| 10 | Other religious denomination | 8 |
| 990 | NAP, other countries | 48302 |
| 999 | No answer | 42 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1463 | 48344 |
Valid range from 0 to 10
FR_RELIG Country specific religious affiliation or denomination: France
| Value 142248 | Frequency | |
|---|---|---|
| 0 | No religion | 515 |
| 1 | Catholic | 603 |
| 2 | Protestant | 20 |
| 3 | Orthodox | 0 |
| 4 | Other Christian | 9 |
| 5 | Jewish | 12 |
| 6 | Islamic | 29 |
| 7 | Buddhist | 5 |
| 8 | Hindu | 1 |
| 10 | Other religion | 2 |
| 990 | NAP, other countries | 48596 |
| 999 | No answer | 15 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1196 | 48611 |
Valid range from 0 to 10
GB_RELIG Country specific religious affiliation or denomination: Great Britain (GB-GBN)
| Value 143247 | Frequency | |
|---|---|---|
| 0 | No religion | 769 |
| 2 | Christian - no denomination | 167 |
| 3 | Roman Catholic | 166 |
| 4 | Church of England/ Anglican | 306 |
| 5 | Baptist | 13 |
| 6 | Methodist | 27 |
| 7 | Presbyterian/ Church of Scotland | 38 |
| 8 | Other Christian | 2 |
| 9 | Hindu | 14 |
| 10 | Jewish | 6 |
| 11 | Islam/ Muslim | 36 |
| 12 | Sikh | 6 |
| 13 | Buddhist | 4 |
| 14 | Other non-Christian | 3 |
| 22 | Brethren | 1 |
| 23 | United Reform Church (URC)/ Congregational | 5 |
| 27 | Other Protestant | 10 |
| 990 | NAP, other countries | 48227 |
| 997 | Refused | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1573 | 48234 |
Valid range from 0 to 27
GE_RELIG Country specific religious affiliation or denomination: Georgia
| Value 144246 | Frequency | |
|---|---|---|
| 1 | No religion | 22 |
| 2 | Orthodox | 1253 |
| 3 | Grigorian | 34 |
| 4 | Catholic | 15 |
| 5 | Protestant | 2 |
| 6 | Other Christians | 2 |
| 8 | Muslim | 162 |
| 11 | Other Asian religions | 1 |
| 12 | Other religions | 7 |
| 990 | NAP, other countries | 48309 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1498 | 48309 |
Valid range from 1 to 12
HR_RELIG Country specific religious affiliation or denomination: Croatia
| Value 145245 | Frequency | |
|---|---|---|
| 0 | No religion | 81 |
| 1 | Roman Catholic | 876 |
| 2 | Christian Orthodox | 25 |
| 3 | Islamic | 10 |
| 4 | Jewish | 0 |
| 6 | Other Religion | 6 |
| 990 | NAP, other countries | 48807 |
| 999 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 998 | 48809 |
Valid range from 0 to 6
HU_RELIG Country specific religious affiliation or denomination: Hungary
| Value 146244 | Frequency | |
|---|---|---|
| 0 | No religion | 176 |
| 1 | Roman Catholic | 623 |
| 2 | Orthodox Christian | 32 |
| 3 | Other Christian (eg. Protestant, Calvinist) | 146 |
| 4 | Other not Christian (eg. Jewish, Islamic) | 4 |
| 990 | NAP, other countries | 48800 |
| 997 | Refused | 24 |
| 999 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 981 | 48826 | 0 | 4 |
Valid range from 0 to 4
IL_RELIG Country specific religious affiliation or denomination: Israel
| Value 147243 | Frequency | |
|---|---|---|
| 0 | No religion | 22 |
| 1 | Roman Catholic | 37 |
| 2 | Protestant | 1 |
| 3 | Christian Orthodox | 18 |
| 4 | Other Christian | 3 |
| 5 | Jewish | 985 |
| 6 | Islamic | 112 |
| 10 | Other Religions | 1 |
| 11 | Druse | 21 |
| 990 | NAP, other countries | 48603 |
| 997 | Refused | 3 |
| 999 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 48607 |
Valid range from 0 to 11
IN_RELIG Country specific religious affiliation or denomination: India
| Value 148242 | Frequency | |
|---|---|---|
| 0 | No religion | 0 |
| 1 | Catholic | 15 |
| 2 | Protestant | 4 |
| 3 | Orthodox | 6 |
| 4 | Other Christian | 7 |
| 6 | Islamic | 210 |
| 7 | Buddhist | 12 |
| 8 | Hindu | 902 |
| 9 | Sikh | 29 |
| 10 | Other religions | 4 |
| 990 | NAP, other countries | 48598 |
| 997 | Refused | 20 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1189 | 48618 | 1 | 10 |
Valid range from 0 to 10
IS_RELIG Country specific religious affiliation or denomination: Iceland
| Value 149241 | Frequency | |
|---|---|---|
| 0 | No religion | 219 |
| 1 | Icelandic National Church - the Evangelical Lutheran Church | 1094 |
| 2 | Catholic | 21 |
| 3 | Protestant but does not belong to the Iceland National Churc | 48 |
| 4 | Orthodox | 5 |
| 5 | Other Christian | 17 |
| 6 | Jewish | 0 |
| 7 | Islamic | 0 |
| 8 | Buddhist | 9 |
| 9 | Hindu | 1 |
| 10 | Other Asian religions | 0 |
| 11 | Paganism (belief in the old nordic gods) | 26 |
| 12 | Other religions | 5 |
| 990 | NAP, other countries | 48310 |
| 997 | Refused | 22 |
| 999 | No answer | 30 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1445 | 48362 |
Valid range from 0 to 12
JP_RELIG Country specific religious affiliation or denomination: Japan
| Value 150240 | Frequency | |
|---|---|---|
| 0 | No religion | 1000 |
| 4 | Other Christian | 16 |
| 7 | Buddhist | 504 |
| 10 | Other Religions | 18 |
| 11 | Shintoism | 40 |
| 990 | NAP, other countries | 48214 |
| 999 | No answer | 15 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1578 | 48229 |
Valid range from 0 to 11
KR_RELIG Country specific religious affiliation or denomination: Korea (South)
| Value 151239 | Frequency | |
|---|---|---|
| 0 | No religion | 584 |
| 1 | Buddhist | 287 |
| 2 | Protestant | 329 |
| 3 | Catholic | 152 |
| 4 | Won-Buddhism | 2 |
| 5 | Soka Gakkai International | 1 |
| 7 | Taoism | 1 |
| 8 | Folk Religion, Shamanism | 1 |
| 13 | Other Asian Religions | 13 |
| 990 | NAP, other countries | 48437 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1370 | 48437 |
Valid range from 0 to 13
LT_RELIG Country specific religious affiliation or denomination: Lithuania
| Value 152238 | Frequency | |
|---|---|---|
| 0 | No religion | 91 |
| 1 | Catholic | 920 |
| 2 | Protestant | 25 |
| 3 | Orthodox | 18 |
| 4 | Other Christian | 20 |
| 5 | Jewish | 1 |
| 6 | Islamic | 1 |
| 7 | Buddhist | 1 |
| 10 | Other Religions | 5 |
| 990 | NAP, other countries | 48688 |
| 997 | Refused | 37 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1082 | 48725 |
Valid range from 0 to 10
NL_RELIG Country specific religious affiliation or denomination: Netherlands
| Value 153237 | Frequency | |
|---|---|---|
| 0 | No religion | 728 |
| 10 | Roman Catholic | 449 |
| 20 | Protestant Church of the Netherlands | 3 |
| 21 | Prot.Church of NL: Reformed origin | 177 |
| 22 | Prot.Church of NL: Re-Reformed origin | 76 |
| 23 | Prot.Church of NL: Lutheran origin | 7 |
| 30 | Re-Reformed Churches | 24 |
| 40 | Evangelical | 19 |
| 50 | Eastern orthodox | 2 |
| 60 | Other Christian Religions | 40 |
| 70 | Islam | 16 |
| 80 | Jewish | 1 |
| 90 | Hinduism | 5 |
| 100 | Buddhism | 9 |
| 110 | Other Asian Religions | 1 |
| 120 | Other Religions | 21 |
| 990 | NAP, other countries | 48169 |
| 999 | No answer | 60 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1578 | 48229 |
Valid range from 0 to 120
NO_RELIG Country specific religious affiliation or denomination: Norway
| Value 154236 | Frequency | |
|---|---|---|
| 0 | No denomination or life stance organisation | 246 |
| 1 | Church of Norway (State Church) | 1017 |
| 2 | Pentecostal | 20 |
| 3 | Other Protestant Denomination | 29 |
| 4 | Roman Catholic | 23 |
| 5 | Orthodox (Greek, Russian, others) | 5 |
| 6 | Other Christian Denomination | 21 |
| 7 | Jewish | 1 |
| 8 | Islam | 20 |
| 9 | Buddhism | 4 |
| 10 | Hinduism | 3 |
| 11 | Other Eastern Religion | 1 |
| 12 | Other Religion | 4 |
| 13 | Other life stance organisation, for example the Norwegian Hu | 47 |
| 990 | NAP, other countries | 48348 |
| 999 | No answer | 18 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1441 | 48366 |
Valid range from 0 to 13
PH_RELIG Country specific religious affiliation or denomination: Philippines
| Value 155235 | Frequency | |
|---|---|---|
| 0 | No religion | 2 |
| 1 | Roman Catholic | 969 |
| 2 | Iglesia ni Christo | 31 |
| 3 | Aglipayan | 17 |
| 4 | Protestant | 11 |
| 5 | Islam | 80 |
| 6 | Jesus is our Shield | 0 |
| 7 | Born Again | 23 |
| 8 | Pentecostal | 4 |
| 9 | Baptist | 12 |
| 10 | United Church of Christ of the Philippines | 4 |
| 11 | Alliances | 2 |
| 12 | Church of Christ | 1 |
| 13 | Christian | 0 |
| 14 | Seventh Day Adventist | 6 |
| 15 | Methodist | 5 |
| 16 | Couples for Christ | 0 |
| 17 | None Sectarian | 0 |
| 18 | Rizalismo | 0 |
| 19 | House of Yahweh | 0 |
| 20 | One Way | 0 |
| 21 | Philippine Independent Church | 0 |
| 22 | Assembly of God | 2 |
| 23 | Jesus Miracle Crusade | 1 |
| 24 | Jesus is Lord | 2 |
| 25 | Iglesia Evangelista, Methodista Enlas Islas Pilipinas | 0 |
| 26 | River of God | 0 |
| 27 | Evangelist | 4 |
| 28 | Thanks to Come | 0 |
| 29 | Church of Ipil | 0 |
| 30 | Grace for Christ | 0 |
| 31 | Catholic Charismatic Renewal | 0 |
| 32 | Jehovah's Witnesses | 5 |
| 33 | Latter-Day Saint | 5 |
| 34 | Pagtulon-An Sa Divo Amahan | 0 |
| 35 | Universla Church of Christ | 0 |
| 36 | Kristohanon | 0 |
| 37 | AIM (Apostolic Independent Misson) | 1 |
| 38 | Christian Faith Fellowship | 1 |
| 39 | Church of God | 1 |
| 40 | Dating Daan | 1 |
| 41 | Grace Gospel Church of Christ | 1 |
| 42 | Hermeticism Science | 1 |
| 43 | Jesus is Alive | 1 |
| 44 | Kapatirang Kristiyano | 1 |
| 45 | Kingdom of Jesus the Name Above | 2 |
| 46 | Langkat | 1 |
| 47 | Mormons | 0 |
| 48 | PDE Pagtulun-an sa Diyos | 1 |
| 49 | Ispiritista | 1 |
| 50 | Wesleyan | 1 |
| 990 | NAP, other countries | 48607 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 48607 | 0 | 50 |
Valid range from 0 to 50
PL_RELIG Country specific religious affiliation or denomination: Poland
| Value 156234 | Frequency | |
|---|---|---|
| 0 | Not related to any religion, church or denomination | 268 |
| 1 | Catholic | 1523 |
| 2 | Protestant | 1 |
| 3 | Orthodox | 10 |
| 4 | Jehovah's Witnesses | 3 |
| 5 | Seventh-day Adventist | 0 |
| 6 | Catholic and Protestant | 0 |
| 7 | Christian | 97 |
| 8 | Ethnic religion | 1 |
| 9 | My own religion | 1 |
| 960 | Does not know if related to any religion, church or denomina | 114 |
| 990 | NAP, other countries | 47695 |
| 997 | Refused | 1 |
| 998 | Don't know | 1 |
| 999 | No answer | 92 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2018 | 47789 | 0 | 960 |
Valid range from 0 to 960
RU_RELIG Country specific religious affiliation or denomination: Russia
| Value 157233 | Frequency | |
|---|---|---|
| 0 | No religion | 243 |
| 1 | Catholic | 6 |
| 2 | Protestant | 6 |
| 3 | Orthodox | 1172 |
| 4 | Other Christian | 0 |
| 5 | Jewish | 1 |
| 6 | Islamic | 128 |
| 7 | Buddhist | 1 |
| 8 | Hindu | 1 |
| 10 | Other Religion | 3 |
| 990 | NAP, other countries | 48207 |
| 997 | Refused | 13 |
| 999 | No answer | 26 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1561 | 48246 | 0 | 10 |
Valid range from 0 to 10
SE_RELIG Country specific religious affiliation or denomination: Sweden
| Value 158232 | Frequency | |
|---|---|---|
| 0 | No religion | 217 |
| 1 | Church of Sweden | 609 |
| 2 | Roman Catholic | 17 |
| 3 | Christian Orthodox | 7 |
| 4 | Christian free-church | 15 |
| 5 | Other Christian church/ community | 4 |
| 6 | Jewish | 0 |
| 7 | Islamic | 11 |
| 8 | Buddhists | 2 |
| 10 | Other religion | 6 |
| 990 | NAP, other countries | 48908 |
| 999 | No answer | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 888 | 48919 |
Valid range from 0 to 10
SI_RELIG Country specific religious affiliation or denomination: Slovenia
| Value 159231 | Frequency | |
|---|---|---|
| 0 | No religion | 305 |
| 1 | Roman Catholic | 640 |
| 2 | Protestant | 6 |
| 3 | Christian Orthodox | 23 |
| 4 | Other Christian | 3 |
| 6 | Islamic | 14 |
| 8 | Hindu | 0 |
| 10 | Other Religions | 5 |
| 990 | NAP, other countries | 48797 |
| 997 | Refused | 4 |
| 999 | No answer | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 996 | 48811 |
Valid range from 0 to 10
SK_RELIG Country specific religious affiliation or denomination: Slovak Republic
| Value 160230 | Frequency | |
|---|---|---|
| 0 | No religion | 175 |
| 1 | Roman Catholic | 782 |
| 2 | Evangelical Lutheran | 61 |
| 3 | Greek Catholic | 66 |
| 4 | Reformed Calvinist | 25 |
| 5 | Christian Orthodox | 7 |
| 6 | Jehovah's Witnesses | 7 |
| 7 | Other Christian | 2 |
| 9 | Other Non-Christian | 1 |
| 990 | NAP, other countries | 48651 |
| 999 | No answer | 30 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1126 | 48681 | 0 | 9 |
Valid range from 0 to 9
TR_RELIG Country specific religious affiliation or denomination: Turkey
| Value 161229 | Frequency | |
|---|---|---|
| 0 | No religion | 15 |
| 300 | Orthodox; Eastern Orthodox | 1 |
| 500 | Jewish | 1 |
| 690 | Muslim, Mohammedan, Islam | 1483 |
| 950 | Other religions | 1 |
| 990 | NAP, other countries | 48298 |
| 999 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1501 | 48306 |
Valid range from 0 to 950
TW_RELIG Country specific religious affiliation or denomination: Taiwan
| Value 162228 | Frequency | |
|---|---|---|
| 0 | No religion | 397 |
| 1 | Buddhism | 371 |
| 2 | Taoism | 242 |
| 3 | Folk religion | 720 |
| 4 | Yiguan Dao | 33 |
| 5 | Islamic | 0 |
| 6 | Catholicism | 17 |
| 7 | Protestant Christianity | 88 |
| 8 | Other | 6 |
| 990 | NAP, other countries | 47932 |
| 997 | Refused | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1874 | 47933 |
Valid range from 0 to 8
US_RELIG Country specific religious affiliation or denomination: United States
| Value 163227 | Frequency | |
|---|---|---|
| 0 | No religion | 259 |
| 1 | Protestant | 570 |
| 2 | Catholic | 290 |
| 3 | Jewish | 18 |
| 5 | Other | 15 |
| 6 | Buddhism | 13 |
| 7 | Hinduism | 10 |
| 8 | Other Eastern | 2 |
| 9 | Moslem/ Islam | 5 |
| 10 | Orthodox-Christian | 7 |
| 11 | Christian | 64 |
| 12 | Native American | 1 |
| 13 | Inter- or Nondenominational | 2 |
| 990 | NAP, other countries | 48543 |
| 999 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1256 | 48551 |
Valid range from 0 to 13
VE_RELIG Country specific religious affiliation or denomination: Venezuela
| Value 164226 | Frequency | |
|---|---|---|
| 0 | No religion | 52 |
| 1 | Catholic | 688 |
| 2 | Christian Evangelicals | 52 |
| 3 | Evangelicalism | 46 |
| 4 | Jehovas Witnesses | 8 |
| 5 | Christian | 112 |
| 6 | Buddhist | 1 |
| 7 | Adventists | 7 |
| 8 | Atheist | 15 |
| 9 | In God | 23 |
| 10 | MormĂłn | 1 |
| 11 | Orthodox | 1 |
| 12 | Santero | 3 |
| 990 | NAP, other countries | 48798 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1009 | 48798 |
Valid range from 0 to 12
ZA_RELIG Country specific religious affiliation or denomination: South Africa
| Value 165225 | Frequency | |
|---|---|---|
| 0 | Not belonging to any religion | 362 |
| 1 | Christian without specification | 490 |
| 2 | African Evangelical Church | 52 |
| 3 | Anglican | 127 |
| 4 | Assemblies of God | 46 |
| 5 | Apostle Twelve | 130 |
| 6 | Baptist | 37 |
| 7 | Dutch Reformed | 130 |
| 8 | Full Gospel Church of God | 67 |
| 9 | Faith Mission | 42 |
| 10 | Church of God and Saints of Christ | 21 |
| 11 | Jehovah's Witnesses | 17 |
| 12 | Lutheran | 50 |
| 13 | Methodist | 165 |
| 14 | Pentecostal Holiness Church | 26 |
| 15 | Roman Catholic | 144 |
| 16 | Salvation Army | 3 |
| 17 | Seventh Day Adventist | 13 |
| 18 | St Johns Apostolic | 55 |
| 19 | United Congregational Church | 33 |
| 20 | Universal Church of God | 14 |
| 21 | Nazareth | 35 |
| 22 | Zionist Christian Church | 267 |
| 23 | Other Christian | 139 |
| 24 | Islam or Muslim | 142 |
| 25 | Judaism or Jewish | 5 |
| 26 | Hinduism or Hindu | 133 |
| 27 | Buddhism or Buddhist | 1 |
| 28 | Other | 279 |
| 990 | NAP, other countries | 46683 |
| 997 | Refused | 7 |
| 998 | Don't know | 1 |
| 999 | No answer | 91 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 3025 | 46782 | 0 | 28 |
Valid range from 0 to 28
RELIGGRP Groups of religious affiliations (derived from nat_RELIG)
| Value 166224 | Frequency | |
|---|---|---|
| 0 | No religion | 11631 |
| 1 | Catholic | 14117 |
| 2 | Protestant | 10053 |
| 3 | Orthodox | 2730 |
| 4 | Other Christian, PL: Christian (unspecified) | 2252 |
| 5 | Jewish | 1045 |
| 6 | Islamic | 2771 |
| 7 | Buddhist | 1263 |
| 8 | Hindu | 1085 |
| 9 | Other Asian Religions | 1093 |
| 10 | Other Religions | 577 |
| 97 | Refused | 119 |
| 98 | Information insufficient | 56 |
| 99 | No answer | 1015 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48617 | 1190 |
Valid range from 0 to 10
ATTEND Attendance of religious services
| Value 167223 | Frequency | |
|---|---|---|
| 1 | Several times a week or more often (incl. every day, several | 2837 |
| 2 | Once a week; GB:once a week or more | 5433 |
| 3 | 2 or 3 times a month; PL:+nearly every week; DE:1-3 times a | 3585 |
| 4 | Once a month | 2585 |
| 5 | Several times a year | 8283 |
| 6 | Once a year | 4623 |
| 7 | Less frequently than once a year ; AT: less than several tim | 6853 |
| 8 | Never | 13514 |
| 0 | NAP (AT: code 0 in AT_RELIG; PL: 0,960 in PL_RELIG; TR: no ( | 583 |
| 97 | Refused | 128 |
| 98 | Don't know | 191 |
| 99 | No answer (TR: no idea, don't know, no answer) | 1192 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47713 | 2094 |
Valid range from 1 to 8
TOPBOT Top-Bottom self-placement
| Value 168222 | Frequency | |
|---|---|---|
| 1 | Lowest, Bottom, 01 | 1495 |
| 2 | 02 | 1756 |
| 3 | 03 | 3724 |
| 4 | 04 | 4965 |
| 5 | 05 | 11394 |
| 6 | 06 | 8918 |
| 7 | 07 | 7043 |
| 8 | 08 | 4205 |
| 9 | 09 | 998 |
| 10 | Highest, Top, 10 | 772 |
| 0 | Not available (GB, HU) | 2587 |
| 98 | Don't know | 680 |
| 99 | No answer, TW: NA, refused | 1270 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45270 | 4537 |
Valid range from 1 to 10
VOTE_LE Did respondent vote in last general election
| Value 169221 | Frequency | |
|---|---|---|
| 1 | Yes | 36089 |
| 2 | No | 8091 |
| 0 | NAP, not eligible to vote at last election; NAV (GB) | 3797 |
| 7 | Refused, FR: don't know, refused | 862 |
| 8 | PL: Hard to say | 72 |
| 9 | No answer | 896 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44180 | 5627 |
Valid range from 1 to 2
AT_PRTY Country specific party voted for in last general election: Austria
| Value 170220 | Frequency | |
|---|---|---|
| 1 | Irmgard Griss - Independent | 104 |
| 2 | Norbert Hofer - Freedom Party - FPĂ– | 192 |
| 3 | Rudolf Hundstorfer - Social Democrats - SPĂ– | 113 |
| 4 | Andreas Kohl - Peoples Party - Ă–VP | 70 |
| 5 | Richard Lugner - Independent | 13 |
| 6 | Alexander Van der Bellen - Green Party | 182 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 179 |
| 99 | No answer | 180 |
| 990 | NAP, other countries | 48774 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 674 | 49133 |
Valid range from 1 to 6
AU_PRTY Country specific party voted for in last general election: Australia
| Value 171219 | Frequency | |
|---|---|---|
| 1 | Liberal Party | 528 |
| 2 | Australian Labor Party - ALP | 421 |
| 3 | National Party of Australia - NPA | 47 |
| 5 | The Greens | 161 |
| 6 | One nation | 1 |
| 7 | Family First Party | 2 |
| 9 | Palmer United Party | 22 |
| 11 | Animal Justice Party | 1 |
| 12 | Australian Sex Party | 1 |
| 16 | Christian Democratic Party (Fred Nile Group) | 4 |
| 17 | Democratic Labour Party - DLP | 1 |
| 19 | Shooters and Fishers Party | 3 |
| 90 | Independent candidate | 18 |
| 92 | Voted in election in country other than Australia | 3 |
| 95 | Other Party | 2 |
| 96 | Invalid ballot | 7 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 42 |
| 97 | Refused | 2 |
| 99 | No answer | 166 |
| 990 | NAP, other countries | 48375 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1222 | 48585 | 1 | 96 |
Valid range from 1 to 96
BE_PRTY Country specific party voted for in last general election: Belgium
| Value 172218 | Frequency | |
|---|---|---|
| 1 | Reformist Movement Francophone - MR | 229 |
| 2 | Green Party Flemish - Groen | 92 |
| 3 | Flemish Interest - Vlaams Belang | 35 |
| 4 | Party active in German speaking community - Pro Deutschsprac | 3 |
| 5 | Unitarian progressive liberal party - Vivant | 3 |
| 6 | Federal Democratic Francophones - FDF | 41 |
| 7 | Flemish Liberals and Democrats - Open VLD | 127 |
| 8 | List Dedecker - Lijst Dedecker | 2 |
| 9 | Green Party Francophone - Ecolo | 106 |
| 10 | Socialist Party Francophone - PS | 166 |
| 11 | Union of Francophone - UF | 1 |
| 12 | Socialist Party Flemish- SP.a | 89 |
| 13 | National Flemish Alliance N-VA | 262 |
| 14 | Christian Democrats Francophone - cdH | 90 |
| 15 | Christian Democrats Flemish - CD&V | 152 |
| 16 | Popular Party - Parti Populaire | 8 |
| 17 | Flemish Party of Labor in Belgium – PVDA+ | 13 |
| 18 | Francophone Party of Labor in Belgium – PTB-GO | 31 |
| 19 | Front National – FN | 2 |
| 95 | Other Party | 15 |
| 96 | Invalid ballot | 132 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 320 |
| 97 | Refused | 28 |
| 99 | No answer | 317 |
| 990 | NAP, other countries | 47543 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1599 | 48208 |
Valid range from 1 to 96
CH_PRTY Country specific party voted for in last general election: Switzerland
| Value 173217 | Frequency | |
|---|---|---|
| 1 | The Liberals (FDP/PLR) | 76 |
| 2 | Christian-Democratic Party (CVP/PDC/PPD) | 70 |
| 3 | Social Democratic Party (SP/PS) | 92 |
| 4 | Swiss People's Party (SVP/UDC) | 126 |
| 5 | Conservative-democratic Party (BDP/PBD) | 20 |
| 6 | Evangelical Party (EVP/PEV) | 8 |
| 7 | Christian Social Party (CSP/PCS) | 2 |
| 8 | Labour Party (PdA/PST-POP/PSdL-PST) | 1 |
| 9 | Green Party (GPS/PES/I Verdi) | 25 |
| 10 | Green Liberal Party (GLP/PVL) | 23 |
| 11 | Swiss Democrats (SD/DS) | 2 |
| 12 | Federal Democratic Union (EDU/UDF) | 4 |
| 13 | Lega dei Ticinese (Lega) | 1 |
| 14 | Movement of the citizens of French-speaking Switzerland (MCG | 1 |
| 94 | Mixed vote (Candidates of several lists) | 91 |
| 96 | Invalid ballot | 15 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 532 |
| 98 | Don't know | 66 |
| 99 | No answer | 80 |
| 990 | NAP, other countries | 48572 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 557 | 49250 | 1 | 96 |
Valid range from 1 to 96
CL_PRTY Country specific party voted for in last general election: Chile
| Value 174216 | Frequency | |
|---|---|---|
| 1 | Christian Democratic Party - PDC | 37 |
| 2 | Independent Democratic Union - UDI | 55 |
| 3 | Communist Party of Chile - PC | 11 |
| 4 | National Renewal Party - RN | 48 |
| 5 | Socialist Party of Chile - PS | 173 |
| 6 | Radical Social Democratic Party - PRSD | 9 |
| 7 | Democratic Party - PPD | 28 |
| 95 | Other party | 41 |
| 96 | Invalid ballot | 285 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 453 |
| 97 | Refused | 102 |
| 99 | No answer | 190 |
| 990 | NAP, other countries | 48375 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 687 | 49120 |
Valid range from 1 to 96
CZ_PRTY Country specific party voted for in last general election: Czech Republic
| Value 175215 | Frequency | |
|---|---|---|
| 1 | Czech Social Democratic Party - CSSD | 252 |
| 2 | ANO Yes | 235 |
| 3 | Communist Party of Bohemia and Moravia - KSCM | 104 |
| 4 | TOP 09 | 128 |
| 5 | Civic Democratic Party - ODS | 66 |
| 6 | Christian Democratic Party-Czech Peoples Party - KDU-CSL | 77 |
| 7 | Dawn of Direct Democracy Party - Ăšsvit | 40 |
| 8 | Green Party - SZ | 33 |
| 9 | Czech pirate party | 21 |
| 10 | Party of Free Citizens | 20 |
| 11 | Party of Citizens' Rights - Zemanovci - SPOZ | 10 |
| 12 | Workers Party of Social Justice - DSSS | 5 |
| 95 | Other | 7 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 377 |
| 98 | Don't know, don't remember | 56 |
| 99 | No answer, refused | 101 |
| 990 | NAP, other countries | 48275 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 998 | 48809 |
Valid range from 1 to 95
DE_PRTY Country specific party voted for in last general election: Germany
| Value 176214 | Frequency | |
|---|---|---|
| 1 | Christian Democratic Union/Christian Social Union - CDU/ CSU | 416 |
| 2 | Social Democratic Party of Germany - SPD | 304 |
| 3 | Party of Democratic Socialism - PDS/Linke Liste | 116 |
| 4 | Alliance 90/The Greens - Buendnis 90/Gruene | 143 |
| 5 | Free Democratic Party - FDP | 68 |
| 6 | Alternative for Germany - AfD | 45 |
| 7 | Pirates - Piratenpartei | 32 |
| 8 | National-Democratic Party of Germany - NPD | 12 |
| 9 | Freie Wähler | 7 |
| 95 | Other Party | 15 |
| 96 | Invalid ballot | 12 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 395 |
| 97 | Refused | 145 |
| 99 | No answer | 8 |
| 990 | NAP, other countries | 48089 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1170 | 48637 | 1 | 96 |
Valid range from 1 to 96
DK_PRTY Country specific party voted for in last general election: Denmark
| Value 177213 | Frequency | |
|---|---|---|
| 1 | Social Democratic Party - Socialdemokratiet | 374 |
| 2 | Radical Liberal Party - Det Radikale Venstre | 129 |
| 3 | Conservative Party - Det Konservative Folkeparti | 75 |
| 4 | Socialist Peoples Party - Socialistisk Folkeparti | 116 |
| 5 | Christian Peoples Party - Kristendemokraterne | 5 |
| 6 | Danish Peoples Party - Dansk Folkeparti | 179 |
| 7 | Liberal Party - Venstre | 374 |
| 8 | Liberal Alliance - Liberal Alliance | 48 |
| 9 | Leftwing Alliance - Enhedslisten | 118 |
| 96 | Voted blank | 21 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 229 |
| 98 | Don't remember/ Don't know | 90 |
| 990 | NAP, other countries | 48049 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1439 | 48368 |
Valid range from 1 to 96
ES_PRTY Country specific party voted for in last general election: Spain
| Value 178212 | Frequency | |
|---|---|---|
| 1 | Popular Party - PP | 430 |
| 2 | Spanish Socialist Workers Party - PSOE | 321 |
| 3 | United Left (Spanish Communist Party, Catalonia Greens) - IU | 70 |
| 4 | Union, Progress and Democracy - UPyD | 43 |
| 5 | Convergence and Union - CiU | 46 |
| 6 | Amaiur | 10 |
| 7 | Basque Nationalist Party - PNV | 16 |
| 8 | Republican Catalonian Left - ERC | 22 |
| 9 | Nationalist Galician Bloque - BNG | 6 |
| 10 | Canary Islands Coalition - CC-NC | 6 |
| 11 | Compromis-Equo | 6 |
| 12 | FAC | 2 |
| 13 | Geroa Bai | 2 |
| 94 | Blank vote | 45 |
| 95 | Other Party | 29 |
| 96 | Invalid ballot | 11 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 383 |
| 98 | Doesn't remember | 58 |
| 99 | No answer | 249 |
| 990 | NAP, other countries | 48052 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1065 | 48742 |
Valid range from 1 to 96
FI_PRTY Country specific party voted for in last general election: Finland
| Value 179211 | Frequency | |
|---|---|---|
| 1 | Social Democratic Party - SDP | 163 |
| 2 | Centre Party of Finland - KESK | 163 |
| 3 | National Coalition Party - KOK | 250 |
| 4 | Left Alliance - VAS | 94 |
| 5 | Swedish Peoples Party - SFP/RKP | 51 |
| 6 | Green League - VIHR | 115 |
| 7 | Christian Democrats - KD | 31 |
| 8 | True Finns - PS | 120 |
| 95 | Other Party | 7 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 334 |
| 97 | Refused | 124 |
| 99 | No answer | 53 |
| 990 | NAP, other countries | 48302 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 994 | 48813 |
Valid range from 1 to 95
FR_PRTY Country specific party voted for in last general election: France
| Value 180210 | Frequency | |
|---|---|---|
| 1 | Workers' Struggle/ Lutte ouvrière - LO/ Nathalie Arthaud | 5 |
| 2 | New Anticapitalist Party/ Nouveau parti anticapitaliste - NP | 11 |
| 3 | Left Front/ Front de gauche - FG/ Jean-Luc MĂ©lenchon | 71 |
| 4 | Socialist Party/ Parti socialiste - PS/ François Hollande | 313 |
| 5 | Green party/ Europe Ă©cologie les Verts -EELV/ Eva Joly | 38 |
| 6 | Democratic Movement/ Mouvement démocrate - MoDem/ François | 59 |
| 7 | Union for a Popular Movement/ Union pour un mouvement popula | 297 |
| 8 | Arise the Republic/ Debout la RĂ©publique - DLR / Nicolas Du | 12 |
| 9 | National Front/ Front national - FN/ Marine Le Pen | 70 |
| 10 | Solidarity and Progress/ Solidarité et progrès/ Jacques Ch | 1 |
| 96 | Invalid ballot | 79 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 155 |
| 99 | No answer | 100 |
| 990 | NAP, other countries | 48596 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 956 | 48851 |
Valid range from 1 to 96
GB_PRTY Country specific party voted for in last general election: Great Britain (GB-GBN)
| Value 181209 | Frequency | |
|---|---|---|
| 990 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
GE_PRTY Country specific party voted for in last general election: Georgia
| Value 182208 | Frequency | |
|---|---|---|
| 2 | National Democratic Party - EDP | 1 |
| 3 | United National Movement | 217 |
| 4 | Georgian Dream - Bidzina Ivanishvili | 599 |
| 5 | Giorgi Targamandze - CDU | 13 |
| 6 | Shalva Natelashvili - GLP | 15 |
| 7 | Sakhalkho Modzraoba | 1 |
| 8 | New Rights | 2 |
| 10 | Samartliani Saqartvelostvis | 1 |
| 95 | Other party | 59 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 301 |
| 99 | No answer | 289 |
| 990 | NAP, other countries | 48309 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 908 | 48899 |
Valid range from 2 to 95
HR_PRTY Country specific party voted for in last general election: Croatia
| Value 183207 | Frequency | |
|---|---|---|
| 1 | Croatian Democratic Union (Conservative) - HDZ | 186 |
| 2 | Social Democratic Party (Social-Democrat) - SDP | 211 |
| 3 | Croatian Party of Rights (Right, Conservative) - HSP | 6 |
| 4 | Croatian Peasant Party (Center) - HSS | 12 |
| 5 | Croatian People's Party (Center) - HNS | 11 |
| 6 | Croatian Social Liberal Party (Liberal) - HSLS | 6 |
| 7 | Istrian Democratic Assembly (Regional) - IDS | 11 |
| 8 | Croatian Party of Pensioners - HSU | 5 |
| 9 | Croatian Democratic Union of Slavonija and Baranja - HDSSB | 7 |
| 95 | Other Party | 36 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 328 |
| 97 | Refused | 116 |
| 99 | No answer | 65 |
| 990 | NAP, other countries | 48807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 491 | 49316 |
Valid range from 1 to 95
HU_PRTY Country specific party voted for in last general election: Hungary
| Value 184206 | Frequency | |
|---|---|---|
| 1 | Hungarian Socialist Party - MSZP-DK (EgĂĽtt-PM-MLP) | 129 |
| 2 | Hungarian Civic Alliance-Christian Democratic People's Party | 345 |
| 3 | Movement for a Better Hungary - Jobbik (Magyarorszagert Mozg | 79 |
| 4 | Politics Can Be Different - LMP (Lehet Mas a Politika) | 21 |
| 95 | Other Party | 6 |
| 96 | Invalid ballot | 1 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 256 |
| 97 | Refused | 163 |
| 99 | No answer, don't know | 7 |
| 990 | NAP, other countries | 48800 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 581 | 49226 | 1 | 96 |
Valid range from 1 to 96
IL_PRTY Country specific party voted for in last general election: Israel
| Value 185205 | Frequency | |
|---|---|---|
| 1 | Haavoda | 103 |
| 2 | Likud | 256 |
| 3 | Yesh atid | 105 |
| 4 | Kadima | 17 |
| 5 | Shase | 48 |
| 6 | Meretz | 52 |
| 7 | Habait hyehudi | 75 |
| 8 | Yahadut-hatora | 47 |
| 9 | Hatnua | 18 |
| 10 | Hayerukim | 4 |
| 11 | ale yarok | 11 |
| 12 | Otzma leisrael | 6 |
| 13 | Haadash | 20 |
| 14 | Balad | 11 |
| 15 | Raam, Taal | 22 |
| 95 | Other party | 7 |
| 96 | Invalid ballot | 13 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 219 |
| 97 | Refused | 146 |
| 98 | Don't know | 14 |
| 99 | No answer | 10 |
| 990 | NAP, other countries | 48603 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 815 | 48992 |
Valid range from 1 to 96
IN_PRTY Country specific party voted for in last general election: India
| Value 186204 | Frequency | |
|---|---|---|
| 1 | Congress + | 231 |
| 2 | BJP + | 482 |
| 3 | Left Front/ Communist Party | 69 |
| 4 | Third Front | 22 |
| 5 | Regional Party | 108 |
| 95 | Other party | 53 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 244 |
| 990 | NAP, other countries | 48598 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 965 | 48842 | 1 | 95 |
Valid range from 1 to 95
IS_PRTY Country specific party voted for in last general election: Iceland
| Value 187203 | Frequency | |
|---|---|---|
| 1 | People's front of Iceland - Alþýðufylkinguna (R) | 1 |
| 2 | Bright Future - Bjarta framtĂĂ° (A) | 96 |
| 3 | Dawn - Dögun (P) | 16 |
| 4 | Households Party - Flokk heimilanna (I) | 8 |
| 5 | Sturla JĂłnsson - FramboĂ° Sturlu JĂłnssonar (K) | 1 |
| 6 | Progressive Party - FramsĂłknarflokkinn (B) | 208 |
| 7 | Right Green People’s Party - Hægri græna (G) | 8 |
| 8 | Humanist Party - HĂşmanistaflokkinn (H) | 0 |
| 9 | Rural Party - LandsbyggĂ°arflokkinn (M) | 1 |
| 10 | Democracy Watch - Lýðræðisvaktina (L) | 14 |
| 11 | Pirate Party - PĂrata (Ăž) | 68 |
| 12 | Rainbow - Regnbogann (J) | 3 |
| 13 | Social Democratic Alliance - Samfylkinguna (S) | 175 |
| 14 | Independence Party - Sjálfstæðisflokkinn (D) | 269 |
| 15 | Left-Green Movement - Vinstri hreyfinguna – græn framboð | 161 |
| 96 | Blank ballot | 38 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 209 |
| 97 | Refused | 183 |
| 99 | No answer | 38 |
| 990 | NAP, other countries | 48310 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1067 | 48740 |
Valid range from 1 to 96
JP_PRTY Country specific party voted for in last general election: Japan
| Value 188202 | Frequency | |
|---|---|---|
| 1 | Liberal Democratic Party of Japan | 546 |
| 2 | The Democratic Party of Japan | 178 |
| 3 | Japan Restoration Party | 73 |
| 4 | Komeito | 83 |
| 5 | Your Party | 54 |
| 6 | Japanese Communist Party | 62 |
| 7 | People's Life Party | 6 |
| 8 | Social Democratic Party | 11 |
| 9 | Green Wind | 0 |
| 10 | New Party Daichi | 4 |
| 11 | The Happiness Realization Party | 6 |
| 12 | Greens Japan | 5 |
| 95 | Other Party | 20 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 490 |
| 99 | No answer | 55 |
| 990 | NAP, other countries | 48214 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1048 | 48759 |
Valid range from 1 to 95
KR_PRTY Country specific party voted for in last general election: Korea (South)
| Value 189201 | Frequency | |
|---|---|---|
| 1 | Saenuri Party | 447 |
| 2 | New Politics Alliance for Democracy | 421 |
| 3 | Unified Progressive Party | 35 |
| 4 | Liberal Justice Party | 7 |
| 5 | Independent candidate | 41 |
| 95 | Other | 5 |
| 96 | Invalid ballot | 2 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 410 |
| 97 | Refused | 2 |
| 990 | NAP, other countries | 48437 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 958 | 48849 |
Valid range from 1 to 96
LT_PRTY Country specific party voted for in last general election: Lithuania
| Value 190200 | Frequency | |
|---|---|---|
| 1 | Labour Party - DP | 53 |
| 2 | Christian Party - KP | 14 |
| 3 | Liberal and Centre Union - LiCS | 44 |
| 4 | Electoral Action of Lithuanian Poles - LLRA | 39 |
| 5 | Liberal Movement of Lithuanian Republic - LRLS | 37 |
| 6 | Lithuanian Social Democratic Party - LSDP | 155 |
| 7 | Lithuanian Peasants and Greens Union - LVŽS | 20 |
| 8 | Party 'Order and Justice' - TT | 36 |
| 9 | Political Party 'The Way of Courage' - DK | 10 |
| 10 | Political Party 'Union Yes' - TAIP | 1 |
| 11 | Socialist People's Front-SLF | 0 |
| 12 | Homeland Union–Lithuanian Christian Democrats - TS-LKD | 61 |
| 95 | Other | 33 |
| 96 | Invalid ballot | 10 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 335 |
| 97 | Refused | 271 |
| 990 | NAP, other countries | 48688 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 513 | 49294 |
Valid range from 1 to 96
NL_PRTY Country specific party voted for in last general election: Netherlands
| Value 191199 | Frequency | |
|---|---|---|
| 1 | 'Liberal' - VVD | 346 |
| 2 | Social Democrats - PvdA | 287 |
| 3 | Wilders' Party - PVV | 90 |
| 4 | Christen Democrats - CDA | 151 |
| 5 | Socialists - SP | 124 |
| 6 | 'Liberal' Democrats - D66 | 219 |
| 7 | Green - GroenLinks | 61 |
| 8 | Christian [Protestant] Party - Christen Unie | 56 |
| 9 | Orthodox Protestant Party - SGP | 17 |
| 10 | Animal Rights Party - Partij voor de Dieren | 24 |
| 11 | Pensioners Party - 50 Plus | 41 |
| 95 | Other party, specify | 24 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 110 |
| 99 | No answer | 88 |
| 990 | NAP, other countries | 48169 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1440 | 48367 |
Valid range from 1 to 95
NO_PRTY Country specific party voted for in last general election: Norway
| Value 192198 | Frequency | |
|---|---|---|
| 1 | Labour Party - DNA | 388 |
| 2 | Progress Party - FRP | 130 |
| 3 | Conservative Party - H | 360 |
| 4 | Christian Democratic Party - KrF | 79 |
| 5 | The Green Party - MDG | 31 |
| 6 | The Party Red | 23 |
| 7 | Centre Party - SP | 80 |
| 8 | Socialist Left - SV | 34 |
| 9 | Liberal Party - V | 72 |
| 95 | Other Party | 10 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 188 |
| 98 | Don't remember | 35 |
| 99 | No answer | 29 |
| 990 | NAP, other countries | 48348 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1207 | 48600 |
Valid range from 1 to 95
PH_PRTY Country specific party voted for in last general election: Philippines
| Value 193197 | Frequency | |
|---|---|---|
| 1 | Nationalist Peoples Coalition - NPC | 13 |
| 2 | Liberal Party - LP | 367 |
| 5 | LAKAS-NUCD-UMDP Party | 22 |
| 8 | Lapiang Bagong Lakas Ng Nueva Ecija - BALANE | 0 |
| 9 | Partido Magdalo | 1 |
| 18 | Philippine Democratic Party - PDP-LABAN, Partido Demokratiko | 15 |
| 19 | Partido NG Masang Pilipino - PMP | 16 |
| 33 | Nacionalista Party - NP | 27 |
| 36 | Kabalikat Ng Malayang Pilipino - KAMPI | 0 |
| 47 | Katipunan Ng Bagong Caloocan - KABAKA | 0 |
| 48 | Citizens Action Party, Akbayan | 4 |
| 74 | Bayan Muna | 6 |
| 81 | Buhay Hayaan Yumabong - BUHAY | 2 |
| 83 | Kilusan ng Nagkakaisang Pilipino - KNP | 0 |
| 85 | Gabriela | 4 |
| 86 | Citizens Battle against Corruption - CIBAC | 2 |
| 87 | Bando Osmena Pundok Kauswagan - BOPK | 10 |
| 88 | Independent | 0 |
| 89 | Anak Mindanao-AMIN | 6 |
| 90 | Ang Laban ng Indiginong Pilipino-ALIF | 10 |
| 91 | Asenso Pilipino Party - APP | 11 |
| 92 | Laban ng Demokratikong Pilipino - LDP | 5 |
| 94 | No party affiliation | 179 |
| 95 | Other Party | 128 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 174 |
| 97 | Refused | 4 |
| 98 | Don't Know | 194 |
| 990 | NAP, other countries | 48607 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 828 | 48979 |
Valid range from 1 to 95
PL_PRTY Country specific party voted for in last general election: Poland
| Value 194196 | Frequency | |
|---|---|---|
| 1 | Law and Justice Party - PIS | 394 |
| 2 | Poland Comes First - PJN | 10 |
| 3 | Democratic Left Alliance - SLD | 81 |
| 4 | Palikot's Movement | 29 |
| 5 | Polish Peasants Party - PSL | 119 |
| 6 | Polish Labour Party (Sierpien 80) | 0 |
| 7 | Civic Platform of Republic of Poland - PO | 450 |
| 8 | Our Home Poland - Andrzej Lepper's Self-defense | 3 |
| 9 | Janusz Korwin - Mikke New Right | 16 |
| 10 | Right Wing | 7 |
| 11 | German Minority | 3 |
| 95 | Other Party | 11 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 596 |
| 98 | Hard to say, don't remember | 356 |
| 99 | No answer | 37 |
| 990 | NAP, other countries | 47695 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1123 | 48684 |
Valid range from 1 to 95
RU_PRTY Country specific party voted for in last general election: Russia
| Value 195195 | Frequency | |
|---|---|---|
| 1 | Fair Russia | 55 |
| 2 | Liberal Democratic Party of Russia | 74 |
| 3 | Party of Patriots of Russia | 6 |
| 4 | Russian Communist Party | 124 |
| 5 | Russian United Democratic Party Yabloko | 10 |
| 6 | United Russia | 606 |
| 7 | Party 'Pravoe delo' | 11 |
| 96 | Invalid ballot | 6 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 708 |
| 990 | NAP, other countries | 48207 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 892 | 48915 | 1 | 96 |
Valid range from 1 to 96
SE_PRTY Country specific party voted for in last general election: Sweden
| Value 196194 | Frequency | |
|---|---|---|
| 1 | Centre Party - C | 49 |
| 2 | Liberal Party - FP | 75 |
| 3 | Christian Democrats - KD | 24 |
| 4 | Green Party - MP | 80 |
| 5 | Conservative Party - M | 202 |
| 6 | Social Democratic Party - S | 238 |
| 7 | Sweden Democrats - SD | 34 |
| 8 | Left Party - V | 53 |
| 95 | Other Party | 23 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 83 |
| 99 | No answer | 38 |
| 990 | NAP, other countries | 48908 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 778 | 49029 |
Valid range from 1 to 95
SI_PRTY Country specific party voted for in last general election: Slovenia
| Value 197193 | Frequency | |
|---|---|---|
| 1 | Democratic Party of Slovenian Pensioners - DESUS | 41 |
| 2 | Liberal Democrats - LDS | 23 |
| 3 | Slovenian People's Party - SLS | 43 |
| 4 | Slovenian National Party - SNS | 13 |
| 5 | Slovenian Democratic Party - SDS | 118 |
| 6 | New Slovenia - NSI | 20 |
| 7 | Social Democrats - SD | 126 |
| 8 | New Politics - ZARES | 5 |
| 9 | Positive Slovenia - PS | 73 |
| 10 | Gregor Virant's Citizens' List - DLGV | 14 |
| 11 | Party for sustainable development - TRS | 7 |
| 95 | Other Party | 3 |
| 96 | Invalid ballot | 3 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 272 |
| 97 | Refused | 75 |
| 99 | No answer | 174 |
| 990 | NAP, other countries | 48797 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 489 | 49318 |
Valid range from 1 to 96
SK_PRTY Country specific party voted for in last general election: Slovak Republic
| Value 198192 | Frequency | |
|---|---|---|
| 1 | Christian Democratic Movement - KDH | 102 |
| 2 | Communist Party - KSS | 14 |
| 3 | Movement for Democratic Slovakia, Peoples Party - HZDS | 8 |
| 4 | Peoples Party - Our Slovakia | 5 |
| 5 | MOST - HID | 39 |
| 6 | Ordinary people and independent personalities/ OLaNO | 45 |
| 7 | Freedom and Solidarity - SaS | 52 |
| 8 | Slovak Democratic Christian Union - Democratic Party - SDKU- | 47 |
| 9 | Slovak National Party - SNS | 35 |
| 10 | Social Democracy - SMER-SD | 314 |
| 11 | Party of Hungarian Coalition - SMK | 38 |
| 13 | Change from below, DĂš/ Zmena zdola, DĂš | 3 |
| 14 | 99% | 10 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 334 |
| 99 | No answer | 110 |
| 990 | NAP, other countries | 48651 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 712 | 49095 | 1 | 14 |
Valid range from 1 to 14
TR_PRTY Country specific party voted for in last general election: Turkey
| Value 199191 | Frequency | |
|---|---|---|
| 1 | Justice and Development Party - AKP | 660 |
| 2 | Grand Union Party - BBP | 12 |
| 3 | Peace and Democracy Party - BDP | 118 |
| 4 | Republican Peoples Party - CHP | 242 |
| 5 | Democratic Party - True Path Party - DP-DYP | 1 |
| 6 | Nationalist Action Party - MHP | 99 |
| 7 | Felicity Party - SP | 4 |
| 94 | Independent Candidate | 4 |
| 96 | Invalid ballot | 14 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 208 |
| 99 | No answer | 147 |
| 990 | NAP, other countries | 48298 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1154 | 48653 |
Valid range from 1 to 96
TW_PRTY Country specific party voted for in last general election: Taiwan
| Value 200190 | Frequency | |
|---|---|---|
| 1 | Kuo Min Tang - KMT | 695 |
| 2 | Democratic Progressive Party - DPP | 451 |
| 3 | People First Party - PFP | 34 |
| 96 | Invalid ballot | 31 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 466 |
| 97 | Refused | 198 |
| 990 | NAP, other countries | 47932 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1211 | 48596 |
Valid range from 1 to 96
US_PRTY Country specific party voted for in last general election: United States
| Value 201189 | Frequency | |
|---|---|---|
| 2 | Democrat | 466 |
| 3 | Other candidate | 19 |
| 6 | Republican | 298 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 429 |
| 99 | No answer | 52 |
| 990 | NAP, other countries | 48543 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 783 | 49024 |
Valid range from 2 to 6
VE_PRTY Country specific party voted for in last general election: Venezuela
| Value 202188 | Frequency | |
|---|---|---|
| 1 | PSUV | 356 |
| 2 | PPT | 5 |
| 3 | PODEMOS | 9 |
| 4 | TUPAMAROS | 4 |
| 5 | MUD | 188 |
| 95 | Other Party | 26 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 338 |
| 99 | No answer | 83 |
| 990 | NAP, other countries | 48798 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 588 | 49219 |
Valid range from 1 to 95
ZA_PRTY Country specific party voted for in last general election: South Africa
| Value 203187 | Frequency | |
|---|---|---|
| 1 | African Christian Democratic Party (ACDP) | 11 |
| 2 | African National Congress (ANC) | 1275 |
| 3 | Agang South Africa | 5 |
| 4 | Azanian People’s Organisation (AZAPO) | 3 |
| 5 | Congress of the People (COPE) | 13 |
| 6 | Democratic Party / Alliance (DA) | 609 |
| 7 | Economic Freedom Fighters (EFF) | 42 |
| 8 | Freedom Front Plus / Vryheidsfront Plus (FF+/VF+) | 10 |
| 9 | Inkatha Freedom Party (IFP) | 18 |
| 10 | Minority Front (MF) | 12 |
| 11 | New Freedom Party (NFP) | 2 |
| 12 | Pan-Africanist Congress (PAC) | 5 |
| 13 | United Christian Democratic Party (UCDP) | 2 |
| 14 | United Democratic Movement (UDM) | 8 |
| 95 | Other Party | 4 |
| 96 | Uncertain if and which party voted | 12 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE) | 1057 |
| 99 | No answer | 36 |
| 990 | NAP, other countries | 46683 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2031 | 47776 |
Valid range from 1 to 96
PARTY_LR R: Party voted for in last general election: left-right (derived from nat_PRTY)
| Value 204186 | Frequency | |
|---|---|---|
| 1 | Far left (communist etc.) | 1910 |
| 2 | Left, center left | 7865 |
| 3 | Center, liberal | 7642 |
| 4 | Right, conservative | 9313 |
| 5 | Far right (fascist etc.) | 870 |
| 6 | Other | 1118 |
| 94 | Independent candidate | 45 |
| 96 | Invalid ballot, Vote blank, No party affiliation (PH) | 800 |
| 0 | NAP (code 0, 2, 7 in VOTE_LE); NAV (GB, IL, TW) | 15128 |
| 97 | Refused | 1215 |
| 98 | Insufficient information to code into scheme, NO: don't reme | 785 |
| 99 | No answer | 3116 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 29563 | 20244 |
Valid range from 1 to 96
AT_ETHN1 Country specific ethnic group 1: Austria
| Value 205185 | Frequency | |
|---|---|---|
| 1 | Both parents born in Austria | 866 |
| 2 | One parent born abroad | 53 |
| 3 | Both parents born abroad | 114 |
| 0 | NAP, other countries | 48774 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1033 | 48774 |
Valid range from 1 to 3
AT_ETHN2 Country specific ethnic group 2: Austria
| Value 206184 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
AU_ETHN1 Country specific ethnic group 1: Australia
| Value 207183 | Frequency | |
|---|---|---|
| 1 | AU born: + Both parents also AU born | 786 |
| 2 | AU born: 1 or 2 parents born in English-speaking country | 118 |
| 3 | AU born: 1 or 2 parents born in non-English-speaking country | 120 |
| 4 | Born in English speaking country | 139 |
| 5 | Born in non-English speaking country | 207 |
| 6 | Aboriginal or Torres Strait Islander | 23 |
| 7 | Born in Australia - no information on parents | 5 |
| 0 | NAP, other countries | 48375 |
| 99 | No answer | 34 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1398 | 48409 | 1 | 7 |
Valid range from 1 to 7
AU_ETHN2 Country specific ethnic group 2: Australia
| Value 208182 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
BE_ETHN1 Country specific ethnic group 1: Belgium
| Value 209181 | Frequency | |
|---|---|---|
| 1 | Belgians | 1739 |
| 2 | Flemings | 280 |
| 3 | Walloons | 53 |
| 4 | Brussels | 90 |
| 5 | Other | 48 |
| 6 | 3 ethnic groups or more | 7 |
| 0 | NAP, other countries | 47543 |
| 99 | No answer | 47 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2217 | 47590 |
Valid range from 1 to 6
BE_ETHN2 Country specific ethnic group 2: Belgium
| Value 210180 | Frequency | |
|---|---|---|
| 1 | Belgians | 0 |
| 2 | Flemings | 454 |
| 3 | Walloons | 467 |
| 4 | Brussels | 312 |
| 5 | Other | 124 |
| 6 | 3 ethnic groups or more | 7 |
| 0 | NAP, other countries | 47543 |
| 99 | No answer, no second ethnic group | 900 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1364 | 48443 |
Valid range from 1 to 6
CH_ETHN1 Country specific ethnic group 1: Switzerland
| Value 211179 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
CH_ETHN2 Country specific ethnic group 2: Switzerland
| Value 212178 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
CL_ETHN1 Country specific ethnic group 1: Chile
| Value 213177 | Frequency | |
|---|---|---|
| 1 | Aatacameño (likan antai) | 1 |
| 2 | Aimara | 11 |
| 3 | Colla | 1 |
| 4 | Mapuche | 90 |
| 5 | Quechua | 2 |
| 6 | Rapa nui | 1 |
| 7 | Yámana (yagán) | 1 |
| 8 | Diaguita | 6 |
| 96 | None of these | 1276 |
| 0 | NAP, other countries | 48375 |
| 99 | No answer | 43 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1389 | 48418 |
Valid range from 1 to 96
CL_ETHN2 Country specific ethnic group 2: Chile
| Value 214176 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
CZ_ETHN1 Country specific ethnic group 1: Czech Republic
| Value 215175 | Frequency | |
|---|---|---|
| 1 | Czech | 1397 |
| 2 | Moravian | 89 |
| 3 | Silesian | 13 |
| 4 | Slovak | 17 |
| 5 | Polish | 9 |
| 6 | German | 1 |
| 7 | Roma | 1 |
| 8 | Ukrainian | 1 |
| 9 | Hungarian | 2 |
| 10 | Vietnameese | 0 |
| 11 | Russian | 0 |
| 12 | Other | 0 |
| 0 | NAP, other countries | 48275 |
| 99 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1530 | 48277 |
Valid range from 1 to 12
CZ_ETHN2 Country specific ethnic group 2: Czech Republic
| Value 216174 | Frequency | |
|---|---|---|
| 1 | Czech | 0 |
| 2 | Moravian | 26 |
| 3 | Silesian | 4 |
| 4 | Slovak | 2 |
| 5 | Polish | 2 |
| 6 | German | 2 |
| 7 | Roma | 0 |
| 8 | Ukrainian | 0 |
| 9 | Hungarian | 1 |
| 10 | Vietnameese | 0 |
| 11 | Russian | 0 |
| 12 | Other | 0 |
| 0 | NAP, other countries | 48275 |
| 99 | No answer | 1495 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 37 | 49770 |
Valid range from 1 to 12
DE_ETHN1 Country specific ethnic group 1: Germany
| Value 217173 | Frequency | |
|---|---|---|
| 1 | Germany | 1582 |
| 2 | Turkey | 22 |
| 3 | Italy | 11 |
| 4 | Russia, former Soviet Union | 10 |
| 5 | Poland | 6 |
| 6 | Croatia | 6 |
| 7 | Austria | 2 |
| 8 | Romania | 3 |
| 9 | Bosnia | 1 |
| 10 | Greece | 2 |
| 11 | Serbia | 2 |
| 12 | Kosovo | 3 |
| 13 | Netherlands | 3 |
| 14 | Czech Republic | 2 |
| 15 | Ukraine | 2 |
| 16 | Hungary | 1 |
| 17 | Scandinavian countries | 2 |
| 18 | Baltic states | 3 |
| 19 | The Balkans, other countries from | 4 |
| 20 | Other European countries | 5 |
| 21 | Morocco | 3 |
| 22 | Somalia | 2 |
| 23 | Cameroon | 2 |
| 24 | Other African countries | 3 |
| 25 | China | 2 |
| 26 | Western Asia | 4 |
| 27 | United States | 2 |
| 28 | South America | 2 |
| 95 | Other | 3 |
| 0 | NAP, other countries | 48089 |
| 99 | No answer | 23 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1695 | 48112 |
Valid range from 1 to 95
DE_ETHN2 Country specific ethnic group 2: Germany
| Value 218172 | Frequency | |
|---|---|---|
| 1 | Germany | 0 |
| 2 | Turkey | 9 |
| 3 | Italy | 6 |
| 4 | Russia, former Soviet Union | 7 |
| 5 | Poland | 4 |
| 6 | Croatia | 1 |
| 7 | Austria | 5 |
| 8 | Romania | 1 |
| 9 | Bosnia | 2 |
| 10 | Greece | 1 |
| 11 | Serbia | 0 |
| 12 | Kosovo | 0 |
| 13 | Netherlands | 0 |
| 14 | Czech Republic | 0 |
| 15 | Ukraine | 0 |
| 16 | Hungary | 1 |
| 17 | Scandinavian countries | 0 |
| 18 | Baltic states | 0 |
| 19 | The Balkans, other countries from | 0 |
| 20 | Other European countries | 0 |
| 21 | Morocco | 0 |
| 22 | Somalia | 0 |
| 23 | Cameroon | 0 |
| 24 | Other African countries | 0 |
| 25 | China | 1 |
| 26 | Western Asia | 0 |
| 27 | United States | 0 |
| 28 | South America | 2 |
| 95 | Other | 1 |
| 0 | NAP, other countries | 48089 |
| 98 | No second answer | 1654 |
| 99 | No answer | 23 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41 | 49766 |
Valid range from 1 to 95
DK_ETHN1 Country specific ethnic group 1: Denmark
| Value 219171 | Frequency | |
|---|---|---|
| 1 | Dane | 1422 |
| 2 | Migrants' group | 6 |
| 3 | Religious' group | 14 |
| 4 | None/ other group | 71 |
| 0 | NAP, other countries | 48049 |
| 98 | Don't know | 22 |
| 99 | Identifying with two groups (see DK_ETHN2) | 223 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1513 | 48294 |
Valid range from 1 to 4
DK_ETHN2 Country specific ethnic group 2: Denmark
| Value 220170 | Frequency | |
|---|---|---|
| 1 | Dane + migrants' or religious' group | 155 |
| 2 | Migrant + religious group | 4 |
| 3 | Other | 64 |
| 0 | NAP, other countries | 48049 |
| 99 | Identifying with max. one group (see DK_ETHN1) | 1535 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 223 | 49584 |
Valid range from 1 to 3
ES_ETHN1 Country specific ethnic group 1: Spain
| Value 221169 | Frequency | |
|---|---|---|
| 1 | European | 346 |
| 2 | Spanish | 1095 |
| 3 | Andalusian | 36 |
| 4 | Aragonese | 10 |
| 5 | Asturian | 6 |
| 6 | Balearic | 7 |
| 7 | Canarian | 10 |
| 8 | Cantabrian | 2 |
| 9 | Castilian-leonese | 12 |
| 10 | Castilian-manchego | 10 |
| 11 | Catalan | 50 |
| 12 | Ceuti | 2 |
| 13 | Extremaduran | 4 |
| 14 | Galician | 23 |
| 15 | Madrilenian | 5 |
| 16 | From Melilla | 0 |
| 17 | Murcian | 1 |
| 18 | Navarrese | 6 |
| 19 | Riojan | 0 |
| 20 | Valencian | 13 |
| 21 | Basque | 27 |
| 22 | Reference to the country of birth | 33 |
| 23 | Reference to the province of birth | 3 |
| 24 | Reference to lower territorial levels than province (town, i | 2 |
| 25 | World citizens | 16 |
| 96 | Other option | 2 |
| 0 | NAP, other countries | 48052 |
| 98 | Don't know | 21 |
| 99 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1721 | 48086 | 1 | 96 |
Valid range from 1 to 96
ES_ETHN2 Country specific ethnic group 2: Spain
| Value 222168 | Frequency | |
|---|---|---|
| 1 | European | 0 |
| 2 | Spanish | 163 |
| 3 | Andalusian | 255 |
| 4 | Aragonese | 36 |
| 5 | Asturian | 32 |
| 6 | Balearic | 13 |
| 7 | Canarian | 39 |
| 8 | Cantabrian | 17 |
| 9 | Castilian-leonese | 38 |
| 10 | Castilian-manchego | 47 |
| 11 | Catalan | 137 |
| 12 | Ceuti | 0 |
| 13 | Extremaduran | 60 |
| 14 | Galician | 72 |
| 15 | Madrilenian | 58 |
| 16 | From Melilla | 0 |
| 17 | Murcian | 39 |
| 18 | Navarrese | 13 |
| 19 | Riojan | 1 |
| 20 | Valencian | 99 |
| 21 | Basque | 52 |
| 22 | Reference to the country of birth | 29 |
| 23 | Reference to the province of birth | 21 |
| 24 | Reference to lower territorial levels than province (town, i | 19 |
| 25 | World citizens | 5 |
| 96 | Other option | 4 |
| 0 | NAP, other countries | 48052 |
| 98 | Don't know | 7 |
| 99 | No answer | 499 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1249 | 48558 | 2 | 96 |
Valid range from 1 to 96
FI_ETHN1 Country specific ethnic group 1: Finland
| Value 223167 | Frequency | |
|---|---|---|
| 1 | Finnish-speakers | 1390 |
| 2 | Swedish-speakers | 68 |
| 5 | Estonians | 5 |
| 6 | Russians | 3 |
| 9 | Immigrants | 13 |
| 10 | Returnees | 3 |
| 11 | Other, please specify | 13 |
| 0 | NAP, other countries | 48302 |
| 99 | No answer | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1495 | 48312 |
Valid range from 1 to 11
FI_ETHN2 Country specific ethnic group 2: Finland
| Value 224166 | Frequency | |
|---|---|---|
| 2 | Swedish-speakers | 21 |
| 5 | Estonians | 4 |
| 6 | Russians | 2 |
| 7 | Swedes | 1 |
| 8 | Somali | 1 |
| 9 | Immigrants | 4 |
| 10 | Returnees | 7 |
| 11 | Other, please specify | 18 |
| 0 | NAP, other countries | 48302 |
| 99 | No answer | 1447 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 58 | 49749 |
Valid range from 2 to 11
FR_ETHN1 Country specific ethnic group 1: France
| Value 225165 | Frequency | |
|---|---|---|
| 1 | Sub-Saharan Africa | 15 |
| 2 | Central America or South America | 7 |
| 3 | Antilles or Caribbean | 8 |
| 4 | Asia | 15 |
| 5 | Europe | 968 |
| 6 | Maghreb | 38 |
| 7 | Indian subcontinent | 3 |
| 8 | Other | 64 |
| 0 | NAP, other countries | 48596 |
| 99 | No answer | 93 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1118 | 48689 |
Valid range from 1 to 8
FR_ETHN2 Country specific ethnic group 2: France
| Value 226164 | Frequency | |
|---|---|---|
| 1 | Sub-Saharan Africa | 0 |
| 2 | Central America or South America | 0 |
| 3 | Antilles or Caribbean | 0 |
| 4 | Asia | 0 |
| 5 | Europe | 9 |
| 6 | Maghreb | 8 |
| 7 | Indian subcontinent | 19 |
| 8 | Other | 16 |
| 0 | NAP, other countries | 48596 |
| 99 | No answer, no second ethnic group | 1159 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 52 | 49755 |
Valid range from 1 to 8
GB_ETHN1 Country specific ethnic group 1: Great Britain (GB-GBN)
| Value 227163 | Frequency | |
|---|---|---|
| 1 | Black: of African origin | 29 |
| 2 | Black: of Caribbean origin | 16 |
| 4 | Asian: of Indian origin | 26 |
| 5 | Asian: of Pakistani origin | 10 |
| 6 | Asian: of Bangladeshi origin | 7 |
| 7 | Asian: of Chinese origin | 5 |
| 8 | Asian: of other origin | 17 |
| 9 | White: of any origin | 1441 |
| 10 | Mixed origin | 16 |
| 11 | Other origin | 11 |
| 0 | NAP, other countries | 48227 |
| 97 | Refused | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1578 | 48229 |
Valid range from 1 to 11
GB_ETHN2 Country specific ethnic group 2: Great Britain (GB-GBN)
| Value 228162 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
GE_ETHN1 Country specific ethnic group 1: Georgia
| Value 229161 | Frequency | |
|---|---|---|
| 1 | Georgian | 1321 |
| 2 | Azerbajanian | 90 |
| 3 | Armenian | 52 |
| 4 | Other Caucasian ethnic groups (Ossetian, Abkhazian, Kists) | 19 |
| 5 | Russian | 5 |
| 7 | Greek | 3 |
| 8 | Ukrainian | 1 |
| 9 | Assyrian | 2 |
| 10 | Lezid/Kurdish | 1 |
| 11 | Other | 4 |
| 0 | NAP, other countries | 48309 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1498 | 48309 |
Valid range from 1 to 11
GE_ETHN2 Country specific ethnic group 2: Georgia
| Value 230160 | Frequency | |
|---|---|---|
| 2 | Azerbajanian | 0 |
| 3 | Armenian | 5 |
| 4 | Other Caucasian ethnic groups (Ossetian, Abkhazian, Kists) | 2 |
| 5 | Russian | 2 |
| 7 | Greek | 1 |
| 8 | Ukrainian | 3 |
| 0 | NAP, other countries | 48309 |
| 99 | No answer, no second ethnic group, Georgian | 1485 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 13 | 49794 |
Valid range from 2 to 8
HR_ETHN1 Country specific ethnic group 1: Croatia
| Value 231159 | Frequency | |
|---|---|---|
| 1 | Croat | 943 |
| 2 | Serb | 17 |
| 3 | Bosnian | 6 |
| 6 | Czech | 1 |
| 7 | Hungarian | 2 |
| 8 | Macedonian | 1 |
| 11 | Russian | 3 |
| 12 | Slovak | 3 |
| 13 | Slovenian | 4 |
| 14 | Italian | 2 |
| 17 | Undecided | 3 |
| 0 | NAP, other countries | 48807 |
| 97 | Refused | 11 |
| 99 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 985 | 48822 |
Valid range from 1 to 17
HR_ETHN2 Country specific ethnic group 2: Croatia
| Value 232158 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
HU_ETHN1 Country specific ethnic group 1: Hungary
| Value 233157 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
HU_ETHN2 Country specific ethnic group 2: Hungary
| Value 234156 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
IL_ETHN1 Country specific ethnic group 1: Israel
| Value 235155 | Frequency | |
|---|---|---|
| 1 | Cyprus | 1 |
| 4 | Jordan | 2 |
| 5 | Iraq | 18 |
| 7 | Yemen | 11 |
| 9 | Iran | 12 |
| 11 | India, Pakistan | 7 |
| 17 | Turkey | 10 |
| 20 | Morrocco, Tangier | 29 |
| 21 | Algiers | 6 |
| 22 | Tunisia | 12 |
| 23 | Libya | 4 |
| 24 | Sudan, Egypt | 5 |
| 25 | Ethiopia, Somalia, Eritrea | 5 |
| 27 | South Africa | 1 |
| 29 | Africa | 0 |
| 30 | Russia | 78 |
| 31 | Poland | 15 |
| 40 | Romania | 23 |
| 41 | Yugoslavia | 1 |
| 42 | Bulgaria | 8 |
| 43 | Greece | 1 |
| 50 | Germany | 11 |
| 51 | Austria | 0 |
| 52 | Switzerland | 1 |
| 53 | Czechoslovakia | 3 |
| 54 | Hungary | 0 |
| 59 | England | 3 |
| 61 | Holland | 0 |
| 62 | Belgium | 4 |
| 64 | France | 5 |
| 66 | Spain | 2 |
| 67 | Italy | 2 |
| 70 | USA | 12 |
| 71 | Canada | 2 |
| 72 | Mexico | 1 |
| 79 | Peru | 2 |
| 81 | Brazil | 2 |
| 82 | Uruguay | 2 |
| 83 | Argentina | 16 |
| 86 | Australia | 0 |
| 89 | Palestine | 0 |
| 90 | Israel | 845 |
| 91 | Ukraine, Belorussia, Moldavia, Estonia, Latvia | 22 |
| 92 | Georgia, Uzbekistan, Kazakhastan, Armenia, Turkemania, Bukha | 17 |
| 0 | NAP, other countries | 48603 |
| 97 | Refused | 1 |
| 99 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1201 | 48606 | 1 | 92 |
Valid range from 1 to 92
IL_ETHN2 Country specific ethnic group 2: Israel
| Value 236154 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
IN_ETHN1 Country specific ethnic group 1: India
| Value 237153 | Frequency | |
|---|---|---|
| 1 | Hindu-SC (Scheduled Caste/Dalits) | 184 |
| 2 | Hindu-ST (Scheduled Tribes) | 87 |
| 3 | Hindu-OBC (Other Backward Classes) | 444 |
| 4 | Hindu-UCH (Upper Caste Hindus) | 186 |
| 5 | Muslim-Shiya | 48 |
| 6 | Muslim-Sunni | 128 |
| 7 | Muslims Others | 32 |
| 8 | Christians General | 28 |
| 9 | Christians Others | 4 |
| 10 | Sikh General | 14 |
| 11 | Sikh Dalits | 15 |
| 98 | Others | 4 |
| 0 | NAP, other countries | 48598 |
| 99 | Can't say | 35 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1174 | 48633 | 1 | 98 |
Valid range from 1 to 98
IN_ETHN2 Country specific ethnic group 2: India
| Value 238152 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
IS_ETHN1 Country specific ethnic group 1: Iceland
| Value 239151 | Frequency | |
|---|---|---|
| 1 | Yes | 42 |
| 2 | No | 1308 |
| 0 | NAP, other countries | 48310 |
| 97 | Refused | 42 |
| 98 | Don't know | 65 |
| 99 | No answer | 40 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1350 | 48457 |
Valid range from 1 to 2
IS_ETHN2 Country specific ethnic group 2: Iceland
| Value 240150 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
JP_ETHN1 Country specific ethnic group 1: Japan
| Value 241149 | Frequency | |
|---|---|---|
| 1 | Japan,Japanese | 1582 |
| 2 | Other | 5 |
| 0 | NAP, other countries | 48214 |
| 99 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1587 | 48220 |
Valid range from 1 to 2
JP_ETHN2 Country specific ethnic group 2: Japan
| Value 242148 | Frequency | |
|---|---|---|
| 1 | Japanese | 1514 |
| 2 | Other | 9 |
| 0 | NAP, other countries | 48214 |
| 98 | Don't know | 58 |
| 99 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1523 | 48284 |
Valid range from 1 to 2
KR_ETHN1 Country specific ethnic group 1: Korea (South)
| Value 243147 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
KR_ETHN2 Country specific ethnic group 2: Korea (South)
| Value 244146 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
LT_ETHN1 Country specific ethnic group 1: Lithuania
| Value 245145 | Frequency | |
|---|---|---|
| 1 | Lithuanian | 972 |
| 2 | Polish | 69 |
| 3 | Russian | 50 |
| 4 | Belarussian | 6 |
| 5 | Ukrainian | 4 |
| 6 | Jew | 0 |
| 7 | Latvian | 3 |
| 8 | Tatar | 1 |
| 9 | German | 0 |
| 10 | Romani | 0 |
| 11 | Arab | 1 |
| 0 | NAP, other countries | 48688 |
| 97 | Refused | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1106 | 48701 |
Valid range from 1 to 11
LT_ETHN2 Country specific ethnic group 2: Lithuania
| Value 246144 | Frequency | |
|---|---|---|
| 1 | Lithuanian | 0 |
| 2 | Polish | 3 |
| 3 | Russian | 3 |
| 4 | Belarussian | 0 |
| 5 | Ukrainian | 0 |
| 6 | Jew | 0 |
| 7 | Latvian | 0 |
| 8 | Tatar | 0 |
| 9 | German | 0 |
| 10 | Romani | 0 |
| 0 | NAP, other countries | 48688 |
| 97 | Refused | 13 |
| 99 | No second answer | 1100 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 6 | 49801 |
Valid range from 1 to 10
NL_ETHN1 Country specific ethnic group 1: Netherlands
| Value 247143 | Frequency | |
|---|---|---|
| 1 | Dutch | 1436 |
| 2 | Moroccan | 11 |
| 3 | Turkish | 7 |
| 4 | Surinamese | 24 |
| 5 | Antillean | 4 |
| 6 | Indonesian | 47 |
| 7 | Other, mixed | 102 |
| 0 | NAP, other countries | 48169 |
| 99 | No answer | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1631 | 48176 |
Valid range from 1 to 7
NL_ETHN2 Country specific ethnic group 2: Netherlands
| Value 248142 | Frequency | |
|---|---|---|
| 0 | NAP, other countries | 48169 |
| 99 | No second ethnic group mentioned | 1638 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
NO_ETHN1 Country specific ethnic group 1: Norway
| Value 249141 | Frequency | |
|---|---|---|
| 1 | Norwegian | 1353 |
| 11 | West European | 6 |
| 12 | North European (Nordic) | 20 |
| 21 | South European | 2 |
| 22 | South-East European | 3 |
| 23 | East European | 4 |
| 34 | Iranian and Central Asian | 1 |
| 39 | Other North African and Middle Eastern | 1 |
| 41 | West and Central African | 3 |
| 42 | Africa’s Horn | 2 |
| 43 | East and South African | 1 |
| 51 | South Asian | 2 |
| 52 | Mainland and Buddhist South-East Asian | 4 |
| 61 | Chinese Asian | 1 |
| 62 | North-East Asian | 1 |
| 71 | South American | 1 |
| 72 | Central American (includes Spanish-speaking Caribbean) | 2 |
| 91 | North American | 1 |
| 92 | Australasian | 1 |
| 0 | NAP, other countries | 48348 |
| 99 | No answer/ inadequately described | 50 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1409 | 48398 |
Valid range from 1 to 92
NO_ETHN2 Country specific ethnic group 2: Norway
| Value 250140 | Frequency | |
|---|---|---|
| 1 | Norwegian | 18 |
| 11 | West European | 6 |
| 12 | North European (Nordic) | 11 |
| 21 | South European | 2 |
| 22 | South-East European | 3 |
| 23 | East European | 4 |
| 31 | Arab | 1 |
| 34 | Iranian and Central Asian | 1 |
| 39 | Other North African and Middle Eastern | 0 |
| 41 | West and Central African | 0 |
| 42 | Africa's Horn | 0 |
| 43 | East and South African | 1 |
| 51 | South Asian | 1 |
| 52 | Mainland and Buddhist South-East Asian | 0 |
| 61 | Chinese Asian | 1 |
| 62 | North-East Asian | 1 |
| 0 | NAP, other countries | 48348 |
| 99 | No answer/ inadequately described, no second ethnic group | 1409 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50 | 49757 |
Valid range from 1 to 62
PH_ETHN1 Country specific ethnic group 1: Philippines
| Value 251139 | Frequency | |
|---|---|---|
| 1 | Bicol | 93 |
| 4 | Ilocano | 102 |
| 5 | Ilonggo | 174 |
| 6 | Cebuano | 298 |
| 9 | Maguindanao | 8 |
| 10 | Maranao | 51 |
| 11 | Spanish | 0 |
| 12 | Tagalog | 329 |
| 13 | Tausug | 2 |
| 14 | Yakan | 1 |
| 15 | Boholano | 10 |
| 16 | Visaya/Bisaya | 4 |
| 17 | Davaoeno | 1 |
| 18 | Ibanag | 4 |
| 19 | Iranon | 5 |
| 20 | Kalagan | 8 |
| 21 | Kapampangan | 5 |
| 22 | Karay-A | 1 |
| 23 | Leyteno | 1 |
| 24 | Mandaya | 12 |
| 25 | Manobo | 6 |
| 26 | Muslim | 1 |
| 27 | Pangasinense | 1 |
| 28 | Siquijornon | 1 |
| 29 | Subanen | 2 |
| 30 | Surigaonon | 1 |
| 31 | Waray | 69 |
| 32 | Yogad | 10 |
| 33 | Balik-Islam | 0 |
| 34 | Batagueno | 0 |
| 0 | NAP, other countries | 48607 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 48607 | 1 | 32 |
Valid range from 1 to 34
PH_ETHN2 Country specific ethnic group 2: Philippines
| Value 252138 | Frequency | |
|---|---|---|
| 1 | Bicol | 0 |
| 4 | Ilocano | 1 |
| 5 | Ilonggo | 4 |
| 6 | Cebuano | 9 |
| 9 | Maguindanao | 0 |
| 10 | Maranao | 1 |
| 11 | Spanish | 1 |
| 12 | Tagalog | 83 |
| 13 | Tausug | 4 |
| 14 | Yakan | 0 |
| 15 | Boholano | 3 |
| 16 | Visaya/Bisaya | 35 |
| 17 | Davaoeno | 1 |
| 18 | Ibanag | 1 |
| 19 | Iranon | 0 |
| 20 | Kalagan | 1 |
| 21 | Kapampangan | 2 |
| 22 | Karay-A | 1 |
| 23 | Leyteno | 4 |
| 24 | Mandaya | 3 |
| 25 | Manobo | 2 |
| 26 | Muslim | 0 |
| 27 | Pangasinense | 1 |
| 28 | Siquijornon | 0 |
| 29 | Subanen | 1 |
| 30 | Surigaonon | 0 |
| 31 | Waray | 11 |
| 32 | Yogad | 1 |
| 33 | Balik-Islam | 1 |
| 34 | Batagueno | 1 |
| 0 | NAP, other countries | 48607 |
| 99 | No second answer | 1028 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 172 | 49635 | 4 | 34 |
Valid range from 1 to 34
PL_ETHN1 Country specific ethnic group 1: Poland
| Value 253137 | Frequency | |
|---|---|---|
| 1 | Polish | 2061 |
| 2 | Silesian | 1 |
| 3 | Russian | 1 |
| 4 | Ukrainian | 1 |
| 5 | Belarussian | 2 |
| 6 | German | 2 |
| 7 | Australian | 1 |
| 0 | NAP, other countries | 47695 |
| 99 | No answer | 43 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2069 | 47738 | 1 | 7 |
Valid range from 1 to 7
PL_ETHN2 Country specific ethnic group 2: Poland
| Value 254136 | Frequency | |
|---|---|---|
| 0 | NAP, other countries | 47695 |
| 99 | No second ethnic group mentioned | 2112 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
RU_ETHN1 Country specific ethnic group 1: Russia
| Value 255135 | Frequency | |
|---|---|---|
| 1 | Russian | 1332 |
| 2 | Ukrainian | 29 |
| 3 | Belorussian | 12 |
| 4 | Tatarian | 66 |
| 5 | Bashkir | 8 |
| 6 | Jewish | 4 |
| 7 | German | 7 |
| 8 | Volga peoples (Mari, Mordva, Chuvash, Udmurt) | 35 |
| 9 | North Caucasus people (Adyg, Cherkes, Chechen, etc) | 67 |
| 10 | Siberia and North people (Byrat, Khakas, Yakut, etc) | 2 |
| 11 | Middle Asia people (Kazakh, Uzbek, etc) | 16 |
| 12 | Other | 12 |
| 0 | NAP, other countries | 48207 |
| 97 | Refused | 3 |
| 98 | Don't know | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1590 | 48217 | 1 | 12 |
Valid range from 1 to 12
RU_ETHN2 Country specific ethnic group 2: Russia
| Value 256134 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
SE_ETHN1 Country specific ethnic group 1: Sweden
| Value 257133 | Frequency | |
|---|---|---|
| 31 | People of Azerbaijan (AZE) | 1 |
| 70 | People of Bosnia and Herzegovina (BIH) | 3 |
| 76 | People of Brazil (BRA) | 1 |
| 100 | People of Bulgaria (BGR) | 1 |
| 152 | People of Chile (CHL) | 3 |
| 156 | People of China (CHN) | 1 |
| 246 | People of Finland (FIN) | 4 |
| 276 | People of Germany (DEU) | 2 |
| 348 | People of Hungary (HUN) | 1 |
| 364 | People of Iran (Islamic Republic of) (IRN) | 7 |
| 368 | People of Iraq (IRQ) | 3 |
| 381 | People of Kosovo (NON-OFFICIAL CODE) | 2 |
| 440 | People of Lithuania (LTU) | 1 |
| 504 | People of Morroco (MAR) | 1 |
| 528 | People of Netherlands (NLD) | 1 |
| 578 | People of Norway (NOR) | 3 |
| 616 | People of Poland (POL) | 4 |
| 688 | People of Serbia (SRB) | 1 |
| 752 | People of Sweden (SWE) | 826 |
| 756 | People of Switzerland (CHE) | 1 |
| 760 | People of Syrian Arab Republic (SYR) | 3 |
| 764 | People of Thailand (THA) | 1 |
| 792 | People of Turkey (TUR) | 1 |
| 9701 | Sweden Finns | 1 |
| 9705 | The Baltic Nations (NO COUNTRY - GEOGRAPHICAL AREA) | 1 |
| 9987 | Sami | 1 |
| 9990 | Kurds | 2 |
| 9991 | Africa (NO COUNTRY - GEOGRAPHICAL AREA) | 1 |
| 9993 | Europe (NO COUNTRY - GEOGRAPHICAL AREA) | 1 |
| 9995 | The World (NO COUNTRY - GEOGRAPHICAL AREA) | 1 |
| 0 | NAP, other countries | 48908 |
| 9996 | Non-classifiable groups | 1 |
| 9997 | Three or more groups mentioned | 3 |
| 9999 | No answer | 15 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 880 | 48927 | 31 | 9995 |
Valid range from 31 to 9995
SE_ETHN2 Country specific ethnic group 2: Sweden
| Value 258132 | Frequency | |
|---|---|---|
| 70 | People of Bosnia and Herzegovina (BIH) | 2 |
| 100 | People of Bulgaria (BGR) | 1 |
| 152 | People of Chile (CHL) | 1 |
| 208 | People of Denmark (DNK) | 4 |
| 246 | People of Finland (FIN) | 14 |
| 275 | People of Palestinian Territory, occupied | 1 |
| 276 | People of Germany (DEU) | 5 |
| 348 | People of Hungary (HUN) | 5 |
| 364 | People of Iran (Islamic Republic of) (IRN) | 5 |
| 368 | People of Iraq (IRQ) | 2 |
| 380 | People of Italy (ITA) | 1 |
| 381 | People of Kosovo (NON-OFFICIAL CODE) | 1 |
| 422 | People of Lebanon (LBN) | 3 |
| 528 | People of Netherlands (NLD) | 2 |
| 578 | People of Norway (NOR) | 1 |
| 616 | People of Poland (POL) | 2 |
| 688 | People of Serbia (SRB) | 1 |
| 760 | People of Syrian Arab Republic (SYR) | 1 |
| 764 | People of Thailand (THA) | 2 |
| 800 | People of Uganda (UGA) | 1 |
| 826 | People of United Kingdom (GBR) | 1 |
| 840 | People of United States (USA) | 2 |
| 9703 | Norbotten (NO COUNTRY - GEOGRAPHICAL AREA in SWEDEN) | 1 |
| 9704 | Göteborg (NO COUNTRY - GEOGRAPHICAL AREA in SWEDEN) | 1 |
| 9987 | Sami | 4 |
| 9988 | Jews | 1 |
| 9990 | Kurds | 1 |
| 9991 | Africa (NO COUNTRY - GEOGRAPHICAL AREA) | 0 |
| 9993 | Europe (NO COUNTRY - GEOGRAPHICAL AREA) | 0 |
| 9995 | The World (NO COUNTRY - GEOGRAPHICAL AREA) | 3 |
| 0 | NAP, other countries | 48908 |
| 9998 | No second group belonging | 811 |
| 9999 | No answer | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 69 | 49738 | 70 | 9995 |
Valid range from 70 to 9995
SI_ETHN1 Country specific ethnic group 1: Slovenia
| Value 259131 | Frequency | |
|---|---|---|
| 1 | Slovenian | 944 |
| 2 | Italian | 1 |
| 3 | Hungarian | 0 |
| 4 | Austrian | 0 |
| 5 | German | 0 |
| 6 | Croatian | 17 |
| 7 | Serbian | 18 |
| 8 | Montenegrin | 1 |
| 9 | Bosniak | 9 |
| 10 | Macedonian | 4 |
| 11 | Albanian | 5 |
| 12 | Roman - Gypsy | 4 |
| 13 | Other nationa/ ethnic identity | 5 |
| 0 | NAP, other countries | 48797 |
| 97 | Refused | 1 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1008 | 48799 |
Valid range from 1 to 13
SI_ETHN2 Country specific ethnic group 2: Slovenia
| Value 260130 | Frequency | |
|---|---|---|
| 1 | Slovenian | 24 |
| 2 | Italian | 5 |
| 3 | Hungarian | 0 |
| 4 | Austrian | 1 |
| 5 | German | 2 |
| 6 | Croatian | 10 |
| 7 | Serbian | 6 |
| 8 | Montenegrin | 3 |
| 9 | Bosniak | 9 |
| 10 | Macedonian | 1 |
| 13 | Other nationa/ ethnic identity | 6 |
| 0 | NAP, other countries | 48797 |
| 97 | Refused | 13 |
| 99 | No answer | 930 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 67 | 49740 |
Valid range from 1 to 13
SK_ETHN1 Country specific ethnic group 1: Slovak Republic
| Value 261129 | Frequency | |
|---|---|---|
| 1 | Slovak | 1024 |
| 2 | Hungarian | 101 |
| 3 | Romani | 17 |
| 4 | Ruthenian | 8 |
| 5 | Czech | 2 |
| 6 | Other | 2 |
| 0 | NAP, other countries | 48651 |
| 99 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1154 | 48653 | 1 | 6 |
Valid range from 1 to 6
SK_ETHN2 Country specific ethnic group 2: Slovak Republic
| Value 262128 | Frequency | |
|---|---|---|
| 1 | Slovak | 0 |
| 2 | Hungarian | 2 |
| 3 | Romani | 1 |
| 4 | Ruthenian | 0 |
| 5 | Czech | 0 |
| 6 | Other | 0 |
| 0 | NAP, other countries | 48651 |
| 99 | No answer, no second ethnic group | 1153 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 3 | 49804 | 2 | 3 |
Valid range from 1 to 6
TR_ETHN1 Country specific ethnic group 1: Turkey
| Value 263127 | Frequency | |
|---|---|---|
| 1 | Arab | 22 |
| 2 | Bulgarian | 1 |
| 3 | Circassian | 5 |
| 4 | Kurd | 173 |
| 6 | Turk | 1278 |
| 95 | Other | 2 |
| 0 | NAP, other countries | 48298 |
| 99 | No answer | 28 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1481 | 48326 |
Valid range from 1 to 95
TR_ETHN2 Country specific ethnic group 2: Turkey
| Value 264126 | Frequency | |
|---|---|---|
| 1 | Arab | 7 |
| 2 | Bulgarian | 1 |
| 3 | Circassian | 5 |
| 4 | Georgian | 1 |
| 5 | Kurd | 54 |
| 8 | Turk | 56 |
| 95 | Other | 6 |
| 0 | NAP, other countries | 48298 |
| 99 | No answer, no second language spoken in childhood | 1379 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 130 | 49677 |
Valid range from 1 to 95
TW_ETHN1 Country specific ethnic group 1: Taiwan
| Value 265125 | Frequency | |
|---|---|---|
| 1 | Fukienese | 795 |
| 2 | Hakka of Taiwan | 157 |
| 3 | Mainlander | 93 |
| 4 | Aborigine | 39 |
| 5 | South-East Asia | 7 |
| 6 | Other | 784 |
| 0 | NAP, other countries | 47932 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1875 | 47932 |
Valid range from 1 to 6
TW_ETHN2 Country specific ethnic group 2: Taiwan
| Value 266124 | Frequency | |
|---|---|---|
| 1 | Fukienese | 0 |
| 2 | Hakka of Taiwan | 1 |
| 3 | Mainlander | 0 |
| 4 | Aborigine | 0 |
| 5 | South-East Asia | 0 |
| 6 | Other | 0 |
| 0 | NAP, other countries | 47932 |
| 99 | No answer | 1874 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1 | 49806 |
Valid range from 1 to 6
US_ETHN1 Country specific ethnic group 1: United States
| Value 267123 | Frequency | |
|---|---|---|
| 32 | Argentina | 1 |
| 40 | Austria | 10 |
| 52 | Barbados | 1 |
| 56 | Belgium | 1 |
| 120 | Cameroon | 1 |
| 124 | Canada | 16 |
| 132 | Cabo Verde | 1 |
| 152 | Chile | 1 |
| 156 | China | 13 |
| 191 | Croatia | 2 |
| 192 | Cuba | 6 |
| 196 | Cyprus | 1 |
| 200 | Czechoslovakia | 6 |
| 208 | Denmark | 5 |
| 214 | Dominican Republic | 7 |
| 218 | Ecuador | 1 |
| 222 | El Salvador | 5 |
| 231 | Ethiopia | 1 |
| 246 | Finland | 2 |
| 250 | France | 23 |
| 275 | Palestine, State of | 1 |
| 276 | Germany | 203 |
| 300 | Greece | 9 |
| 320 | Guatemala | 4 |
| 332 | Haiti | 3 |
| 348 | Hungary | 8 |
| 356 | India | 21 |
| 372 | Ireland | 150 |
| 376 | Israel | 1 |
| 380 | Italy | 57 |
| 388 | Jamaica | 3 |
| 392 | Japan | 4 |
| 400 | Jordan | 1 |
| 422 | Lebanon | 1 |
| 440 | Lithuania | 4 |
| 442 | Luxembourg | 1 |
| 458 | Malaysia | 1 |
| 484 | Mexico | 93 |
| 498 | Moldova, Republic of | 1 |
| 528 | Netherlands | 11 |
| 558 | Nicaragua | 2 |
| 566 | Nigeria | 1 |
| 578 | Norway | 11 |
| 591 | Panama | 1 |
| 604 | Peru | 3 |
| 608 | Philippines | 7 |
| 616 | Poland | 34 |
| 620 | Portugal | 6 |
| 630 | Puerto Rico | 12 |
| 642 | Romania | 4 |
| 643 | Russian Federation | 14 |
| 703 | Slovakia | 1 |
| 724 | Spain | 17 |
| 752 | Sweden | 24 |
| 756 | Switzerland | 1 |
| 760 | Syrian Arab Republic | 1 |
| 780 | Trinidad and Tobago | 2 |
| 792 | Turkey | 1 |
| 804 | Ukraine | 3 |
| 826 | United Kingdom | 171 |
| 840 | United States | 54 |
| 862 | Venezuela, Bolivarian Republic of | 2 |
| 900 | Africa, Country Unspecified | 97 |
| 901 | Europe, Country Unspecified | 2 |
| 904 | North America, Country Unspecified | 5 |
| 0 | NAP, other countries | 48543 |
| 998 | Dont know | 104 |
| 999 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1157 | 48650 | 32 | 904 |
Valid range from 32 to 904
US_ETHN2 Country specific ethnic group 2: United States
| Value 268122 | Frequency | |
|---|---|---|
| 40 | Austria | 6 |
| 76 | Brazil | 1 |
| 124 | Canada | 8 |
| 191 | Croatia | 1 |
| 192 | Cuba | 2 |
| 200 | Czechoslovakia | 4 |
| 208 | Denmark | 3 |
| 246 | Finland | 3 |
| 250 | France | 23 |
| 275 | Palestine, State of | 1 |
| 276 | Germany | 94 |
| 300 | Greece | 1 |
| 320 | Guatemala | 2 |
| 344 | Hongkong | 1 |
| 348 | Hungary | 3 |
| 356 | India | 4 |
| 372 | Ireland | 99 |
| 376 | Israel | 0 |
| 380 | Italy | 18 |
| 388 | Jamaica | 2 |
| 392 | Japan | 0 |
| 410 | Korea, Republic of | 1 |
| 442 | Luxembourg | 1 |
| 458 | Malaysia | 0 |
| 484 | Mexico | 3 |
| 528 | Netherlands | 10 |
| 558 | Nicaragua | 1 |
| 566 | Nigeria | 0 |
| 578 | Norway | 20 |
| 591 | Panama | 0 |
| 604 | Peru | 1 |
| 608 | Philippines | 0 |
| 616 | Poland | 18 |
| 620 | Portugal | 1 |
| 630 | Puerto Rico | 0 |
| 642 | Romania | 1 |
| 643 | Russian Federation | 10 |
| 703 | Slovakia | 0 |
| 724 | Spain | 16 |
| 752 | Sweden | 12 |
| 756 | Switzerland | 1 |
| 760 | Syrian Arab Republic | 0 |
| 780 | Trinidad and Tobago | 1 |
| 792 | Turkey | 1 |
| 804 | Ukraine | 1 |
| 826 | United Kingdom | 104 |
| 840 | United States | 33 |
| 890 | Yugoslavia | 2 |
| 900 | Africa, Country Unspecified | 9 |
| 0 | NAP, other countries | 48543 |
| 999 | No answer, no second country | 741 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 523 | 49284 | 40 | 900 |
Valid range from 40 to 900
VE_ETHN1 Country specific ethnic group 1: Venezuela
| Value 269121 | Frequency | |
|---|---|---|
| 1 | White | 354 |
| 2 | Mestizo (mixed race) | 257 |
| 3 | Mulatto (not offensive) | 364 |
| 4 | Black | 27 |
| 5 | Indigenous | 3 |
| 0 | NAP, other countries | 48798 |
| 99 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1005 | 48802 |
Valid range from 1 to 5
VE_ETHN2 Country specific ethnic group 2: Venezuela
| Value 270120 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
ZA_ETHN1 Country specific ethnic group 1: South Africa
| Value 271119 | Frequency | |
|---|---|---|
| 1 | Black African | 1763 |
| 2 | Coloured | 544 |
| 3 | Indian / Asian | 340 |
| 4 | White | 475 |
| 5 | Other | 2 |
| 0 | NAP, other countries | 46683 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 3124 | 46683 |
Valid range from 1 to 5
ZA_ETHN2 Country specific ethnic group 2: South Africa
| Value 272118 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
HHCHILDR How many children in household: children between [school age] and 17 years of age
| Value 273117 | Frequency | |
|---|---|---|
| 0 | No children | 34346 |
| 1 | One child | 7550 |
| 2 | Two children | 4696 |
| 3 | Three children | 1239 |
| 4 | Four children | 357 |
| 5 | Five children | 109 |
| 6 | Six children, DK: Six children or more | 41 |
| 7 | Seven children | 19 |
| 8 | Eight children | 10 |
| 9 | Nine children | 2 |
| 10 | Ten children | 4 |
| 96 | NAP (code 0 in HOMPOP) | 21 |
| 97 | Refused | 6 |
| 99 | No answer | 1407 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48373 | 1434 |
Valid range from 0 to 10
HHTODD How many toddlers in household: children up to [school age -1] years
| Value 274116 | Frequency | |
|---|---|---|
| 0 | No toddlers | 39615 |
| 1 | One toddler | 5747 |
| 2 | Two toddlers | 2335 |
| 3 | Three toddlers | 416 |
| 4 | Four toddlers | 88 |
| 5 | Five toddlers | 13 |
| 6 | Six toddlers | 11 |
| 7 | Seven toddlers | 3 |
| 8 | Eight toddlers | 1 |
| 96 | NAP (code 0 in HOMPOP) | 21 |
| 99 | No answer | 1557 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48229 | 1578 |
Valid range from 0 to 8
HOMPOP How many persons in household
| Value 275115 | Frequency | |
|---|---|---|
| 1 | One person (only respondent) | 7482 |
| 2 | Two persons | 14731 |
| 3 | Three persons | 9009 |
| 4 | Four persons | 9082 |
| 5 | Five persons | 4308 |
| 6 | Six persons | 1913 |
| 7 | Seven persons | 967 |
| 8 | Eight persons | 531 |
| 9 | Nine persons | 253 |
| 10 | Ten persons | 165 |
| 11 | Eleven persons | 76 |
| 12 | Twelve persons | 71 |
| 13 | Thirteen persons, DK: Thirteen persons or more | 36 |
| 14 | Fourteen persons | 20 |
| 15 | Fifteen persons | 10 |
| 16 | Sixteen persons | 5 |
| 17 | Seventeen persons | 7 |
| 18 | Eighteen persons | 3 |
| 19 | Nineteen persons | 1 |
| 20 | Twenty persons | 1 |
| 22 | Twenty-two persons | 2 |
| 0 | Not a private household | 21 |
| 97 | Refused | 6 |
| 98 | Don't know, AU: invalid repsonse | 5 |
| 99 | No answer | 1102 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48673 | 1134 | 1 | 22 |
Valid range from 1 to 22
AT_RINC Country specific personal income: Austria
| Value 276114 | Frequency | |
|---|---|---|
| 0 | No income | 26 |
| 125 | Up to 250 EUR per month, gross income | 5 |
| 375 | 251-500 EUR | 17 |
| 625 | 501-750 EUR | 32 |
| 875 | 751-1.000 EUR | 94 |
| 1150 | 1.001-1.300 EUR | 79 |
| 1450 | 1.301-1.600 EUR | 110 |
| 1750 | 1.601-1.900 EUR | 111 |
| 2050 | 1.901-2.200 EUR | 80 |
| 2350 | 2.201-2.500 EUR | 64 |
| 2750 | 2.501-3.000 EUR | 55 |
| 3250 | 3.001-3.500 EUR | 39 |
| 3750 | 3.501-4.000 EUR | 21 |
| 4500 | 4.001-5.000 EUR | 18 |
| 5500 | 5.001-6.000 EUR | 5 |
| 6500 | More than 6.000 EUR per month, gross income | 4 |
| 999990 | NAP, all other countries | 48774 |
| 999999 | No answer | 273 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 760 | 49047 |
Valid range from 0 to 6500
AU_RINC Country specific personal income: Australia
| Value 277113 | Frequency | |
|---|---|---|
| 0 | No income | 4 |
| 20 | 20 AUD per month, before taxes | 1 |
| 240000 | 240.000 AUD per month, before taxes | 1 |
| 999990 | NAP, all other countries | 48375 |
| 999999 | No answer | 512 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 920 | 48887 | 0 | 240000 |
Valid range from 0 to 240000
BE_RINC Country specific personal income: Belgium
| Value 278112 | Frequency | |
|---|---|---|
| 0 | No income | 156 |
| 10 | 10 EUR per month, net | 3 |
| 16000 | 16.000 EUR per month, net | 1 |
| 999990 | NAP, all other countries | 47543 |
| 999999 | No answer | 444 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1820 | 47987 | 0 | 16000 |
Valid range from 0 to 16000
CH_RINC Country specific personal income: Switzerland
| Value 279111 | Frequency | |
|---|---|---|
| 0 | No income | 61 |
| 700 | Less than 1.100 CHF per month, net | 80 |
| 1450 | 1.100 - 1.799 CHF | 75 |
| 2250 | 1.800 - 2.699 CHF | 119 |
| 3150 | 2.700 - 3.599 CHF | 110 |
| 4000 | 3.600 - 4.399 CHF | 145 |
| 4800 | 4.400 - 5.199 CHF | 125 |
| 5650 | 5.200 - 6.099 CHF | 108 |
| 6700 | 6.100 - 7.299 CHF | 86 |
| 8300 | 7.300 - 9.299 CHF | 65 |
| 10250 | 9.300 CHF or more per month, net | 101 |
| 999990 | NAP, all other countries | 48572 |
| 999997 | Refused | 82 |
| 999998 | Don't know | 19 |
| 999999 | No answer | 59 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1075 | 48732 | 0 | 10250 |
Valid range from 0 to 10250
CL_RINC Country specific personal income: Chile
| Value 280110 | Frequency | |
|---|---|---|
| 20000 | Less than 35.000 CLP per month, net | 81 |
| 45000 | 35.001-56.000 CLP | 23 |
| 66000 | 56.001-78.000 CLP | 29 |
| 90000 | 78.001-101.000 CLP | 97 |
| 122000 | 101.001-134.000 CLP | 62 |
| 155000 | 134.001-179.000 CLP | 65 |
| 200000 | 179.001-224.000 CLP | 102 |
| 250000 | 224.001-291.000 CLP | 107 |
| 310000 | 291.001-358.000 CLP | 97 |
| 400000 | 358.001-448.000 CLP | 90 |
| 750000 | 448.001-1.000.000 CLP | 115 |
| 1500000 | 1.000.001-2.000.000 CLP | 29 |
| 2500000 | 2.000.001-3.000.000 CLP | 9 |
| 3100000 | More than 3.000.000 CLP per month, net | 3 |
| 9999990 | NAP, all other countries | 48375 |
| 9999998 | Don't know | 44 |
| 9999999 | No answer | 479 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 909 | 48898 |
Valid range from 20000 to 3100000
CZ_RINC Country specific personal income: Czech Republic
| Value 281109 | Frequency | |
|---|---|---|
| 0 | No income | 67 |
| 700 | 700 CZK per month, net | 1 |
| 2500 | 2.500 / Up to 4.999 CZK | 10 |
| 6500 | 6.500 / 5.000 - 7.999 CZK | 17 |
| 9000 | 9.000 / 8.000 - 9.999 CZK | 61 |
| 11000 | 11.000 / 10.000 - 11.999 CZK | 105 |
| 13000 | 13.000 / 12.000 - 13.999 CZK | 59 |
| 15000 | 15.000 / 14.000 - 15.999 CZK | 77 |
| 17000 | 17.000 / 16.000 - 17.999 CZK | 43 |
| 19000 | 19.000 / 18.000 - 19.999 CZK | 27 |
| 21500 | 21.500 / 20.000 - 22.999 CZK | 19 |
| 24500 | 24.500 / 23.000 - 25.999 CZK | 12 |
| 28000 | 28.000 / 26.000 - 29.999 CZK | 18 |
| 40000 | 40.000 / 30.000 - 49.999 CZK | 14 |
| 65000 | 65.000 / More than 50.000 CZK | 8 |
| 100000 | 100.000 CZK per month, net | 1 |
| 999990 | NAP, all other countries | 48275 |
| 999997 | Refused | 290 |
| 999998 | Don't know | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1234 | 48573 | 0 | 100000 |
Valid range from 0 to 100000
DE_RINC Country specific personal income: Germany
| Value 282108 | Frequency | |
|---|---|---|
| 0 | No own income | 84 |
| 60 | 60 EUR per month, net | 2 |
| 100 | 100 / Less than 200 EUR | 5 |
| 250 | 250 / 200-299 EUR | 4 |
| 350 | 350 / 300-399 EUR | 6 |
| 450 | 450 / 400-499 EUR | 24 |
| 562 | 562 / 500-624 EUR | 2 |
| 687 | 687 / 625-749 EUR | 6 |
| 812 | 812 / 750-875 EUR | 3 |
| 937 | 937 / 875-999 EUR | 13 |
| 1062 | 1.062 / 1.000-1.124 EUR | 9 |
| 1187 | 1.187 / 1.125-1.249 EUR | 7 |
| 1312 | 1.312 / 1.250-1.374 EUR | 8 |
| 1437 | 1.437 / 1.375-1.499 EUR | 8 |
| 1625 | 1.625 / 1.500-1.749 EUR | 11 |
| 1875 | 1.875 / 1.750-1.999 EUR | 13 |
| 2125 | 2.125 / 2.000-2.249 EUR | 11 |
| 2375 | 2.375 / 2.250-2.499EUR | 8 |
| 2625 | 2.625 / 2.500-2.749 EUR | 4 |
| 2875 | 2.875 / 2.750-2.999 EUR | 14 |
| 3500 | 3.500 / 3.000-3.999 EUR | 29 |
| 4500 | 4.500 / 4.000-4.999 EUR | 11 |
| 6250 | 6.250 / 5.000-7.499 EUR | 7 |
| 7500 | 7.500 / 7.500 EUR and above | 3 |
| 60000 | 60.000 EUR per month, net | 1 |
| 999990 | NAP, all other countries | 48089 |
| 999999 | No answer | 119 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1599 | 48208 | 0 | 60000 |
Valid range from 0 to 60000
DK_RINC Country specific personal income: Denmark
| Value 283107 | Frequency | |
|---|---|---|
| 70000 | Below 100.000 DKK per year, gross income | 189 |
| 125000 | 100.000-149.999 DKK | 206 |
| 175000 | 150.000-199.999 DKK | 192 |
| 225000 | 200.000-249.999 DKK | 192 |
| 275000 | 250.000-299.999 DKK | 181 |
| 350000 | 300.000-399.999 DKK | 324 |
| 450000 | 400.000-499.999 DKK | 209 |
| 550000 | 500.000-599.999 DKK | 102 |
| 650000 | 600.000-699.000 DKK | 65 |
| 750000 | 700.000 DKK or more per year, gross income | 98 |
| 999990 | NAP, all other countries | 48049 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1758 | 48049 | 70000 | 750000 |
Valid range from 70000 to 750000
ES_RINC Country specific personal income: Spain
| Value 284106 | Frequency | |
|---|---|---|
| 0 | No income | 314 |
| 250 | 300 EUR per month or less, net | 56 |
| 450 | 301-600 EUR | 229 |
| 750 | 601-900 EUR | 237 |
| 1050 | 901-1.200 EUR | 234 |
| 1500 | 1.201-1.800 EUR | 198 |
| 2100 | 1.801-2.400 EUR | 88 |
| 2700 | 2.401-3.000 EUR | 40 |
| 3750 | 3.001-4.500 EUR | 17 |
| 5250 | 4.501-6.000 EUR | 6 |
| 7000 | More than 6.000 EUR per month, net | 6 |
| 999990 | NAP, all other countries | 48052 |
| 999999 | Don't know/ no answer | 330 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1425 | 48382 |
Valid range from 0 to 7000
FI_RINC Country specific personal income: Finland
| Value 285105 | Frequency | |
|---|---|---|
| 0 | No income | 49 |
| 1 | 1 EUR per month, before taxes | 1 |
| 95000 | 95.000 EUR per month, before taxes | 1 |
| 999990 | NAP, other countries | 48302 |
| 999999 | No answer | 129 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1376 | 48431 | 0 | 95000 |
Valid range from 0 to 95000
FR_RINC Country specific personal income: France
| Value 286104 | Frequency | |
|---|---|---|
| 0 | No income | 11 |
| 100 | 100 EUR per month, net | 1 |
| 60000 | 60.000 EUR per month, net | 1 |
| 999990 | NAP, all other countries | 48596 |
| 999999 | No answer | 284 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 927 | 48880 | 0 | 60000 |
Valid range from 0 to 60000
GB_RINC Country specific personal income: Great Britain (GB-GBN)
| Value 287103 | Frequency | |
|---|---|---|
| 0 | No income, not in paid work (code 2,3 in WORK) | 797 |
| 270 | Less than 430 GBP per month, before taxes | 53 |
| 590 | 431-780 GBP | 78 |
| 930 | 781-1.100 GBP | 80 |
| 1200 | 1.101-1.300 GBP | 79 |
| 1400 | 1.301-1.600 GBP | 78 |
| 1700 | 1.601-1.800 GBP | 69 |
| 2000 | 1.801-2.200 GBP | 62 |
| 2500 | 2.201-2.700 GBP | 76 |
| 3100 | 2.701-3.600 GBP | 63 |
| 4900 | 3.601 or more GBP per month, before taxes | 100 |
| 999990 | NAP, all other countries | 48227 |
| 999997 | Refused | 45 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1535 | 48272 | 0 | 4900 |
Valid range from 0 to 4900
GE_RINC Country specific personal income: Georgia
| Value 288102 | Frequency | |
|---|---|---|
| 0 | No income, not in paid work | 556 |
| 20 | 20 GEL, per month, before taxes | 2 |
| 4000 | 4.000 GEL, per month, before taxes | 2 |
| 999990 | NAP, all other countries | 48309 |
| 999999 | No answer, refused, don't know | 306 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1192 | 48615 | 0 | 4000 |
Valid range from 0 to 4000
HR_RINC Country specific personal income: Croatia
| Value 289101 | Frequency | |
|---|---|---|
| 0 | No income | 193 |
| 300 | 300 HRK per month, net | 1 |
| 17000 | 17.000 HRK per month, net | 1 |
| 999990 | NAP, all other countries | 48807 |
| 999999 | No answer | 59 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 941 | 48866 | 0 | 17000 |
Valid range from 0 to 17000
HU_RINC Country specific personal income: Hungary
| Value 290100 | Frequency | |
|---|---|---|
| 0 | No income | 43 |
| 15000 | 15.000 HUF per month, net | 1 |
| 800000 | 800.000 HUF per month, net | 1 |
| 999990 | NAP, other countries | 48800 |
| 999999 | No answer | 495 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 512 | 49295 | 0 | 800000 |
Valid range from 0 to 800000
IL_RINC Country specific personal income: Israel
| Value 29199 | Frequency | |
|---|---|---|
| 0 | No income | 104 |
| 1000 | 1.250 ILS and less, per month, before taxes | 30 |
| 2000 | 1.251-3.000 ILS | 126 |
| 3500 | 3.001-4.000 ILS | 87 |
| 4500 | 4.001-4.700 ILS | 60 |
| 5000 | 4.701-5.500 ILS | 75 |
| 6000 | 5.501-6.700 ILS | 88 |
| 7500 | 6.701-8.200 ILS | 86 |
| 9000 | 8.201-10.000 ILS | 78 |
| 13000 | 10.001-16.000 ILS | 74 |
| 18000 | More than 16.000 ILS per month, before taxes | 62 |
| 999990 | NAP, all other countries | 48603 |
| 999997 | Refused | 254 |
| 999998 | Don't know | 19 |
| 999999 | No answer | 61 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 870 | 48937 | 0 | 18000 |
Valid range from 0 to 18000
IN_RINC Country specific personal income: India
| Value 29298 | Frequency | |
|---|---|---|
| 1500 | Less than 3.000 INR per month, before taxes | 105 |
| 4500 | 3.000 to 6.000 INR | 326 |
| 8000 | 6000 to 10.000 INR | 223 |
| 15000 | 10.000 to 20.000 INR | 303 |
| 35000 | 20.000 to 50.000 INR | 48 |
| 75000 | 50.000 to 100.000 INR | 47 |
| 150000 | More than 100.000 INR per month, before taxes | 16 |
| 999990 | NAP, all other countries | 48598 |
| 999999 | Can't say, no answer | 141 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1068 | 48739 | 1500 | 150000 |
Valid range from 1500 to 150000
IS_RINC Country specific personal income: Iceland
| Value 29397 | Frequency | |
|---|---|---|
| 0 | No income | 2 |
| 1000 | 1.000 ISK per month, before taxes | 1 |
| 4000000 | 4.000.000 ISK per month, before taxes | 1 |
| 9999990 | NAP, all other countries | 48310 |
| 9999997 | Refused | 359 |
| 9999998 | Don't know | 84 |
| 9999999 | No answer | 76 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 978 | 48829 | 0 | 4000000 |
Valid range from 0 to 4000000
JP_RINC Country specific personal income: Japan
| Value 29496 | Frequency | |
|---|---|---|
| 0 | No income | 196 |
| 500000 | Less than 1.000.000 JPY per year, gross income | 320 |
| 1500000 | 1.000.000-1.999.999 JPY | 301 |
| 2500000 | 2.000.000-2.999.999 JPY | 238 |
| 3500000 | 3.000.000-3.999.999 JPY | 156 |
| 4500000 | 4.000.000-4.999.999 JPY | 118 |
| 5500000 | 5.000.000-5.999.999 JPY | 60 |
| 6500000 | 6.000.000-6.999.999 JPY | 47 |
| 7500000 | 7.000.000-7.999.999 JPY | 36 |
| 8500000 | 8.000.000-8.999.999 JPY | 14 |
| 9500000 | 9.000.000-9.999.999 JPY | 14 |
| 11000000 | 10.000.000-11.999.999 JPY | 9 |
| 13500000 | 12.000.000-14.999.999 JPY | 7 |
| 20000000 | 15.000.000 JPY and more per year, gross income | 4 |
| 99999990 | NAP, all other countries | 48214 |
| 99999999 | No answer | 73 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1520 | 48287 | 0 | 20000000 |
Valid range from 0 to 20000000
KR_RINC Country specific personal income: Korea (South)
| Value 29595 | Frequency | |
|---|---|---|
| 0 | No income, not in paid work | 592 |
| 300000 | Less than 500.000 KRW per month, before taxes | 35 |
| 750000 | 500.000-999.999 KRW | 42 |
| 1250000 | 1.000.000-1.499.999 KRW | 97 |
| 1750000 | 1.500.000-1.999.999 KRW | 108 |
| 2250000 | 2.000.000-2.499.999 KRW | 103 |
| 2750000 | 2.500.000-2.999.999 KRW | 69 |
| 3250000 | 3.000.000-3.499.999 KRW | 106 |
| 3750000 | 3.500.000-3.999.999 KRW | 40 |
| 4250000 | 4.000.000-4.499.999 KRW | 47 |
| 4750000 | 4.500.000-4.999.999 KRW | 16 |
| 5250000 | 5.000.000-5.499.999 KRW | 37 |
| 5750000 | 5.000.000-5.999.999 KRW | 3 |
| 6250000 | 6.000.000-6.499.999 KRW | 18 |
| 6750000 | 6.500.000-6.999.999 KRW | 3 |
| 7250000 | 7.000.000-7.499.999 KRW | 14 |
| 7750000 | 7.500.000-7.999.999 KRW | 0 |
| 8250000 | 8.000.000-8.499.999 KRW | 11 |
| 8750000 | 8.500.000-8.999.999 KRW | 0 |
| 9250000 | 9.000.000-9.499.999 KRW | 3 |
| 9750000 | 9.500.000-9.999.999 KRW | 0 |
| 10250000 | 10.000.000 KRW or more per month, before taxes | 21 |
| 99999990 | NAP, other countries | 48437 |
| 99999998 | Don't know | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1365 | 48442 | 0 | 10250000 |
Valid range from 0 to 10250000
LT_RINC Country specific personal income: Lithuania
| Value 29694 | Frequency | |
|---|---|---|
| 0 | No income | 106 |
| 20 | 20 EUR per month, net | 1 |
| 28 | 14 | |
| 29 | 4 | |
| 36 | 1 | |
| 37 | 1 | |
| 43 | 3 | |
| 58 | 4 | |
| 60 | 1 | |
| 64 | 1 | |
| 72 | 2 | |
| 75 | 2 | |
| 78 | 3 | |
| 81 | 2 | |
| 84 | 1 | |
| 85 | 1 | |
| 87 | 8 | |
| 93 | 1 | |
| 94 | 1 | |
| 98 | 3 | |
| 100 | 1 | |
| 101 | 10 | |
| 104 | 1 | |
| 110 | 2 | |
| 113 | 1 | |
| 116 | 11 | |
| 127 | 1 | |
| 130 | 3 | |
| 133 | 2 | |
| 136 | 2 | |
| 137 | 1 | |
| 138 | 1 | |
| 139 | 2 | |
| 140 | 1 | |
| 141 | 1 | |
| 143 | 1 | |
| 145 | 19 | |
| 150 | 1 | |
| 153 | 1 | |
| 156 | 3 | |
| 159 | 6 | |
| 169 | 1 | |
| 174 | 24 | |
| 180 | 3 | |
| 182 | 2 | |
| 184 | 1 | |
| 186 | 1 | |
| 188 | 19 | |
| 190 | 2 | |
| 191 | 2 | |
| 194 | 5 | |
| 195 | 1 | |
| 197 | 4 | |
| 200 | 2 | |
| 202 | 1 | |
| 203 | 33 | |
| 206 | 3 | |
| 210 | 1 | |
| 211 | 2 | |
| 213 | 1 | |
| 217 | 9 | |
| 220 | 4 | |
| 226 | 5 | |
| 227 | 1 | |
| 232 | 41 | |
| 234 | 1 | |
| 237 | 1 | |
| 240 | 1 | |
| 243 | 3 | |
| 246 | 8 | |
| 249 | 3 | |
| 250 | 1 | |
| 254 | 1 | |
| 255 | 3 | |
| 260 | 2 | |
| 261 | 30 | |
| 262 | 1 | |
| 264 | 1 | |
| 266 | 1 | |
| 275 | 6 | |
| 278 | 1 | |
| 281 | 1 | |
| 290 | 68 | |
| 298 | 1 | |
| 300 | 6 | |
| 301 | 1 | |
| 313 | 1 | |
| 319 | 9 | |
| 320 | 1 | |
| 342 | 1 | |
| 348 | 32 | |
| 350 | 1 | |
| 361 | 1 | |
| 362 | 1 | |
| 365 | 2 | |
| 377 | 18 | |
| 390 | 1 | |
| 391 | 2 | |
| 405 | 13 | |
| 420 | 1 | |
| 434 | 40 | |
| 449 | 1 | |
| 450 | 2 | |
| 460 | 1 | |
| 463 | 10 | |
| 478 | 1 | |
| 492 | 7 | |
| 500 | 2 | |
| 507 | 1 | |
| 510 | 1 | |
| 521 | 11 | |
| 536 | 1 | |
| 550 | 3 | |
| 565 | 1 | |
| 570 | 1 | |
| 579 | 50 | |
| 580 | 2 | |
| 600 | 1 | |
| 608 | 3 | |
| 637 | 3 | |
| 666 | 4 | |
| 695 | 1 | |
| 700 | 1 | |
| 724 | 18 | |
| 782 | 2 | |
| 811 | 1 | |
| 869 | 14 | |
| 870 | 1 | |
| 927 | 2 | |
| 1014 | 6 | |
| 1100 | 1 | |
| 1158 | 4 | |
| 1303 | 1 | |
| 1448 | 3 | |
| 1738 | 1.738 EUR per month, net | 1 |
| 999990 | NAP, all other countries | 48688 |
| 999997 | Refused | 276 |
| 999998 | Don't know | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 826 | 48981 |
Valid range from 0 to 1738
NL_RINC Country specific personal income: Netherlands
| Value 29793 | Frequency | |
|---|---|---|
| 0 | No income | 61 |
| 500 | Less than 750 EUR per month, net | 99 |
| 875 | 750-1000 EUR | 119 |
| 1125 | 1000-1250 EUR | 122 |
| 1375 | 1250-1500 EUR | 155 |
| 1625 | 1500-1750 EUR | 138 |
| 1875 | 1750-2000 EUR | 194 |
| 2125 | 2000-2250 EUR | 149 |
| 2375 | 2250-2500 EUR | 108 |
| 2750 | 2500-3000 EUR | 145 |
| 3250 | 3000-3500 EUR | 89 |
| 3750 | 3500-4000 EUR | 45 |
| 4500 | 4000-5000 EUR | 39 |
| 5500 | Over 5000 EUR per month, net | 50 |
| 999990 | NAP, all other countries | 48169 |
| 999999 | No answer | 125 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1513 | 48294 |
Valid range from 0 to 5500
NO_RINC Country specific personal income: Norway
| Value 29892 | Frequency | |
|---|---|---|
| 0 | No income | 4 |
| 4000 | 4.000 NOK per year, gross income | 1 |
| 6000000 | 6.000.000 NOK per year, gross income | 1 |
| 9999990 | NAP, all other countries | 48348 |
| 9999999 | No answer | 173 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1286 | 48521 | 0 | 6000000 |
Valid range from 0 to 6000000
PH_RINC Country specific personal income: Philippines
| Value 29991 | Frequency | |
|---|---|---|
| 0 | No income | 480 |
| 100 | 100 PHP per month, before taxes | 2 |
| 100000 | 100.000 PHP per month, before taxes | 1 |
| 999990 | NAP, all other countries | 48607 |
| 999997 | Refused | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1193 | 48614 | 0 | 100000 |
Valid range from 0 to 100000
PL_RINC Country specific personal income: Poland
| Value 30090 | Frequency | |
|---|---|---|
| 0 | No income, not in paid work at present | 1143 |
| 150 | 150 PLN per month, net | 1 |
| 50000 | 50.000 PLN per month, net | 1 |
| 999990 | NAP, all other countries | 47695 |
| 999998 | Don't know | 178 |
| 999999 | No answer | 90 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1844 | 47963 | 0 | 50000 |
Valid range from 0 to 50000
RU_RINC Country specific personal income: Russia
| Value 30189 | Frequency | |
|---|---|---|
| 0 | No income | 119 |
| 1000 | 1.000 RUB per month, net | 1 |
| 100000 | 100.000 RUB per month, net | 2 |
| 999990 | NAP, all other countries | 48207 |
| 999997 | Refused | 359 |
| 999998 | Don't know | 195 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1046 | 48761 | 0 | 100000 |
Valid range from 0 to 100000
SE_RINC Country specific personal income: Sweden
| Value 30288 | Frequency | |
|---|---|---|
| 0 | No income | 9 |
| 1050 | 1.050 SEK per month before taxes | 3 |
| 130000 | 130.000 SEK per month, before taxes | 1 |
| 999990 | NAP, all other countries | 48908 |
| 999999 | No answer | 74 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 825 | 48982 | 0 | 130000 |
Valid range from 0 to 130000
SI_RINC Country specific personal income: Slovenia
| Value 30387 | Frequency | |
|---|---|---|
| 0 | No income | 112 |
| 60 | 60 EUR per month, net | 1 |
| 5000 | 5.000 EUR per month, net | 1 |
| 999990 | NAP, all other countries | 48797 |
| 999997 | Refused | 209 |
| 999998 | Don't know | 30 |
| 999999 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 768 | 49039 | 0 | 5000 |
Valid range from 0 to 5000
SK_RINC Country specific personal income: Slovak Republic
| Value 30486 | Frequency | |
|---|---|---|
| 0 | No income | 18 |
| 75 | Up to 150 EUR per month, net | 96 |
| 225 | 151-300 EUR | 134 |
| 375 | 301-450 EUR | 322 |
| 525 | 451-600 EUR | 231 |
| 675 | 601-750 EUR | 105 |
| 825 | 751-900 EUR | 77 |
| 1050 | 901-1.200 EUR | 45 |
| 1350 | 1.201-1.500 EUR | 19 |
| 1750 | 1.501-2.000 EUR | 13 |
| 2500 | 2.001-3.000 EUR per month, net | 4 |
| 999990 | NAP, all other countries | 48651 |
| 999999 | No answer | 92 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1064 | 48743 | 0 | 2500 |
Valid range from 0 to 2500
TR_RINC Country specific personal income: Turkey
| Value 30585 | Frequency | |
|---|---|---|
| 50 | 50 TRY per month, gross income | 1 |
| 7000 | 7.000 TRY per month, gross income | 1 |
| 999990 | NAP, all other countries | 48298 |
| 999999 | No answer | 632 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 877 | 48930 | 50 | 7000 |
Valid range from 50 to 7000
TW_RINC Country specific personal income: Taiwan
| Value 30684 | Frequency | |
|---|---|---|
| 0 | No income | 163 |
| 5000 | Less than 10.000 TWD per month, before taxes | 292 |
| 15000 | 10.001-20.000 TWD | 259 |
| 25000 | 20.001-30.000 TWD | 320 |
| 35000 | 30.001-40.000 TWD | 256 |
| 45000 | 40.001-50.000 TWD | 181 |
| 55000 | 50.001-60.000 TWD | 112 |
| 65000 | 60.001-70.000 TWD | 48 |
| 75000 | 70.001-80.000 TWD | 33 |
| 85000 | 80.001-90.000 TWD | 18 |
| 95000 | 90.001-100.000 TWD | 22 |
| 105000 | 100.001-110.000 TWD | 17 |
| 115000 | 110.001-120.000 TWD | 9 |
| 125000 | 120.001-130.000 TWD | 4 |
| 135000 | 130.001-140.000 TWD | 2 |
| 145000 | 140.001-150.000 TWD | 9 |
| 155000 | 150.001-160.000 TWD | 1 |
| 165000 | 160.001-170.000 TWD | 3 |
| 175000 | 170.001-180.000 TWD | 3 |
| 185000 | 180.001-190.000 TWD | 0 |
| 195000 | 190.001-200.000 TWD | 2 |
| 250000 | 200.001-300.000 TWD | 6 |
| 350000 | More than 300.001 TWD per month, before taxes | 4 |
| 999990 | NAP, all other countries | 47932 |
| 999997 | Refused | 69 |
| 999998 | Don't know | 41 |
| 999999 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1764 | 48043 | 0 | 350000 |
Valid range from 0 to 350000
US_RINC Country specific personal income: United States
| Value 30783 | Frequency | |
|---|---|---|
| 0 | No income | 465 |
| 500 | Under 1.000 USD per year, before taxes | 19 |
| 2000 | 1.000-2.999 USD | 18 |
| 3500 | 3.000-3.999 USD | 23 |
| 4500 | 4.000-4.999 USD | 11 |
| 5500 | 5.000-5.999 USD | 15 |
| 6500 | 6.000-6.999 USD | 10 |
| 7500 | 7.000-7.999 USD | 6 |
| 9000 | 8.000-9.999 USD | 12 |
| 11250 | 10.000-12499 USD | 28 |
| 13750 | 12500-14.999 USD | 25 |
| 16750 | 15.000-17.499 USD | 26 |
| 18750 | 17.500-19.999 USD | 20 |
| 21750 | 20.000-22.499 USD | 36 |
| 23750 | 22.500-24.999 USD | 32 |
| 27500 | 25.000-29.999 USD | 43 |
| 32500 | 30.000-34.999 USD | 62 |
| 37500 | 35.000-39.999 USD | 39 |
| 45000 | 40.000-49.999 USD | 72 |
| 55000 | 50.000-59.999 USD | 70 |
| 67500 | 60.000-74.999 USD | 48 |
| 82500 | 75.000-89.999 USD | 44 |
| 100000 | 90.000-109.999 USD | 31 |
| 120000 | 110.000-129.999 USD | 17 |
| 140000 | 130.000-149.999 USD | 10 |
| 160000 | 150.000 USD or more per year, before taxes | 30 |
| 999990 | NAP, all other countries | 48543 |
| 999997 | Refused | 39 |
| 999998 | Don't know | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1212 | 48595 | 0 | 160000 |
Valid range from 0 to 160000
VE_RINC Country specific personal income: Venezuela
| Value 30882 | Frequency | |
|---|---|---|
| 500 | 500 VEF per month | 1 |
| 120000 | 120.000 VEF per month | 1 |
| 999990 | NAP, all other countries | 48798 |
| 999999 | No answer | 139 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 870 | 48937 | 500 | 120000 |
Valid range from 500 to 120000
ZA_RINC Country specific personal income: South Africa
| Value 30981 | Frequency | |
|---|---|---|
| 0 | No income | 782 |
| 250 | 500 ZAR per month and less, before taxes | 221 |
| 625 | 501-750 ZAR | 113 |
| 875 | 751-1.000 ZAR | 108 |
| 1250 | 1.001-1.500 ZAR | 498 |
| 1750 | 1.501-2.000 ZAR | 160 |
| 2500 | 2.001-3.000 ZAR | 129 |
| 4000 | 3.001-5.000 ZAR | 150 |
| 6250 | 5.001-7.500 ZAR | 84 |
| 8750 | 7.501-10.000 ZAR | 80 |
| 12500 | 10.001-15.000 ZAR | 88 |
| 17500 | 15.001-20.000 ZAR | 47 |
| 25000 | 20.001-30.000 ZAR | 48 |
| 40000 | 30.001-50.000 ZAR | 28 |
| 60000 | More than 50.000 ZAR per month, before taxes | 14 |
| 999990 | NAP, other countries | 46683 |
| 999997 | Refused | 464 |
| 999998 | Don't know | 78 |
| 999999 | No answer | 32 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2550 | 47257 | 0 | 60000 |
Valid range from 0 to 60000
AT_INC Country specific household income: Austria
| Value 31080 | Frequency | |
|---|---|---|
| 300 | Up to 600 EUR per month, net | 11 |
| 750 | 601-900 EUR | 43 |
| 1050 | 901-1.200 EUR | 70 |
| 1350 | 1.201-1.500 EUR | 84 |
| 1650 | 1.501-1.800 EUR | 86 |
| 2000 | 1.801-2.200 EUR | 73 |
| 2400 | 2.201-2.600 EUR | 95 |
| 2800 | 2.601-3.000 EUR | 85 |
| 3250 | 3.001-3.500 EUR | 76 |
| 3750 | 3.501-4.000 EUR | 48 |
| 4250 | 4.001-4.500 EUR | 39 |
| 4750 | 4.501-5.000 EUR | 18 |
| 5500 | 5.001-6.000 EUR | 24 |
| 7000 | 6.001-8.000 EUR | 4 |
| 9000 | More than 8.000 EUR per month, net | 6 |
| 999990 | NAP, all other countries | 48774 |
| 999999 | No answer | 271 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 762 | 49045 |
Valid range from 300 to 9000
AU_INC Country specific household income: Australia
| Value 31179 | Frequency | |
|---|---|---|
| 0 | No income | 1 |
| 30 | 30 AUD per month, before taxes | 1 |
| 435900 | 435.900 AUD per month, before taxes | 1 |
| 999990 | NAP, all other countries | 48375 |
| 999999 | No answer | 540 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 892 | 48915 | 0 | 435900 |
Valid range from 0 to 435900
BE_INC Country specific household income: Belgium
| Value 31278 | Frequency | |
|---|---|---|
| 0 | No income | 46 |
| 10 | 10 EUR per month, net | 1 |
| 25000 | 25.000 EUR per month, net | 1 |
| 999990 | NAP, all other countries | 47543 |
| 999999 | No answer | 524 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1740 | 48067 | 0 | 25000 |
Valid range from 0 to 25000
CH_INC Country specific household income: Switzerland
| Value 31377 | Frequency | |
|---|---|---|
| 0 | No income | 21 |
| 1700 | Less than 2.900 CHF per month, net | 78 |
| 3500 | 2.900 - 4.099 CHF | 83 |
| 4650 | 4.100 - 5.199 CHF | 119 |
| 5700 | 5.200 - 6.199 CHF | 110 |
| 6750 | 6.200 - 7.299 CHF | 105 |
| 7950 | 7.300 - 8.599 CHF | 113 |
| 9400 | 8.600 - 10.199 CHF | 124 |
| 11200 | 10.200 - 12.199 CHF | 103 |
| 14000 | 12.200 - 15.799 CHF | 75 |
| 17300 | 15.800 CHF or more per month, net | 66 |
| 999990 | NAP, all other countries | 48572 |
| 999997 | Refused | 90 |
| 999998 | Don't know | 80 |
| 999999 | No answer | 68 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 997 | 48810 | 0 | 17300 |
Valid range from 0 to 17300
CL_INC Country specific household income: Chile
| Value 31476 | Frequency | |
|---|---|---|
| 20000 | Less than 35.000 CLP per month, net | 5 |
| 45000 | 35.001-56.000 CLP | 10 |
| 66000 | 56.001-78.000 CLP | 12 |
| 90000 | 78.001-101.000 CLP | 48 |
| 122000 | 101.001-134.000 CLP | 38 |
| 155000 | 134.001-179.000 CLP | 61 |
| 200000 | 179.001-224.000 CLP | 89 |
| 250000 | 224.001-291.000 CLP | 117 |
| 310000 | 291.001-358.000 CLP | 122 |
| 400000 | 358.001-448.000 CLP | 129 |
| 750000 | 448.001-1.000.000 CLP | 190 |
| 1500000 | 1.000.001-2.000.000 CLP | 64 |
| 2500000 | 2.000.001-3.000.000 CLP | 16 |
| 3100000 | More than 3.000.000 CLP per month, net | 11 |
| 9999990 | NAP, all other countries | 48375 |
| 9999998 | Don't know | 69 |
| 9999999 | No answer | 451 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 912 | 48895 |
Valid range from 20000 to 3100000
CZ_INC Country specific household income: Czech Republic
| Value 31575 | Frequency | |
|---|---|---|
| 0 | No income | 16 |
| 2500 | Less than 5.000 CZK per month, net | 8 |
| 6500 | 5.000 - 7.999 CZK | 24 |
| 9000 | 8.000 - 9.999 CZK | 75 |
| 11000 | 10.000 - 11.999 CZK | 104 |
| 13000 | 12.000 - 13.999 CZK | 68 |
| 15000 | 14.000 - 15.999 CZK | 44 |
| 17000 | 16.000 - 17.999 CZK | 48 |
| 19000 | 18.000 - 19.999 CZK | 87 |
| 21500 | 20.000 - 22.999 CZK | 132 |
| 24500 | 23.000 - 25.999 CZK | 103 |
| 28000 | 26.000 - 29.999 CZK | 112 |
| 32500 | 30.000 - 34.999 CZK | 95 |
| 37500 | 35.000 - 39.999 CZK | 68 |
| 45000 | 40.000 - 49.999 CZK | 74 |
| 62500 | 50.000 - 74.999 CZK | 64 |
| 87500 | 75.000 - 99.999 CZK | 10 |
| 125000 | 100.000 CZK and more per month, net | 5 |
| 999990 | NAP, all other countries | 48275 |
| 999998 | Don't know | 134 |
| 999999 | No answer | 261 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1137 | 48670 | 0 | 125000 |
Valid range from 0 to 125000
DE_INC Country specific household income: Germany
| Value 31674 | Frequency | |
|---|---|---|
| 0 | No income | 2 |
| 100 | 100 / Less than 200 EUR per month, net | 2 |
| 250 | 250 / 200-299 EUR | 0 |
| 350 | 350 / 300-399 EUR | 3 |
| 450 | 450 / 400-499 EUR | 5 |
| 562 | 562 / 500-624 EUR | 2 |
| 687 | 687 / 625-749 EUR | 3 |
| 812 | 812 / 750-875 EUR | 2 |
| 937 | 937 / 875-999 EUR | 3 |
| 1062 | 1.062 / 1.000-1.124 EUR | 11 |
| 1187 | 1.187 / 1.125-1.249 EUR | 3 |
| 1312 | 1.312 / 1.250-1.374 EUR | 6 |
| 1437 | 1.437 / 1.375-1.499 EUR | 6 |
| 1625 | 1.625 / 1.500-1.749 EUR | 8 |
| 1875 | 1.875 / 1.750-1.999 EUR | 14 |
| 2125 | 2.125 / 2.000-2.249 EUR | 10 |
| 2375 | 2.375 / 2.250-2.499EUR | 19 |
| 2625 | 2.625 / 2.500-2.749 EUR | 15 |
| 2875 | 2.875 / 2.750-2.999 EUR | 11 |
| 3500 | 3.500 / 3.000-3.999 EUR | 74 |
| 4500 | 4.500 / 4.000-4.999 EUR | 58 |
| 6250 | 6.250 / 5.000-7.499 EUR | 20 |
| 7500 | 7.500 / 7.500 EUR and above | 14 |
| 80400 | 80.400 EUR per month, net | 1 |
| 999990 | NAP, all other countries | 48089 |
| 999999 | No answer | 209 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1509 | 48298 | 0 | 80400 |
Valid range from 0 to 80400
DK_INC Country specific household income: Denmark
| Value 31773 | Frequency | |
|---|---|---|
| 70000 | Below 100.000 DKK per year, before taxes | 43 |
| 125000 | 100.000-149.999 DKK | 78 |
| 175000 | 150.000-199.999 DKK | 105 |
| 225000 | 200.000-249.999 DKK | 112 |
| 275000 | 250.000-299.999 DKK | 112 |
| 350000 | 300.000-399.999 DKK | 187 |
| 450000 | 400.000-499.999 DKK | 214 |
| 550000 | 500.000-599.999 DKK | 195 |
| 650000 | 600.000-699.999 DKK | 154 |
| 750000 | 700.000-799.999 DKK | 179 |
| 850000 | 800.000-899.999 DKK | 123 |
| 950000 | 900.000-999.999 DKK | 77 |
| 1050000 | 1.000.000-1.099.999 DKK | 72 |
| 1150000 | 1.100.000 DKK or more per year, before taxes | 107 |
| 9999990 | NAP, all other countries | 48049 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1758 | 48049 | 70000 | 1150000 |
Valid range from 70000 to 1150000
ES_INC Country specific household income: Spain
| Value 31872 | Frequency | |
|---|---|---|
| 0 | No income | 8 |
| 250 | 300 EUR or less per month, net | 10 |
| 450 | 301-600 EUR | 109 |
| 750 | 601-900 EUR | 190 |
| 1050 | 901-1.200 EUR | 245 |
| 1500 | 1.201-1.800 EUR | 270 |
| 2100 | 1.801-2.400 EUR | 175 |
| 2700 | 2.401-3.000 EUR | 115 |
| 3750 | 3.001-4.500 EUR | 100 |
| 5250 | 4.501-6.000 EUR | 30 |
| 7000 | More than 6.000 EUR per month, net | 14 |
| 999990 | NAP, all other countries | 48052 |
| 999999 | Don't know/ no answer | 489 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1266 | 48541 |
Valid range from 0 to 7000
FI_INC Country specific household income: Finland
| Value 31971 | Frequency | |
|---|---|---|
| 2 | 2 EUR per month, gross income | 1 |
| 130000 | 130.000 EUR per month, gross income | 1 |
| 999990 | NAP, all other countries | 48302 |
| 999999 | No answer | 529 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 976 | 48831 | 2 | 130000 |
Valid range from 2 to 130000
FR_INC Country specific household income: France
| Value 32070 | Frequency | |
|---|---|---|
| 0 | No income | 6 |
| 168 | 168 EUR per month, net | 1 |
| 90000 | 90.000 EUR per month, net | 1 |
| 999990 | NAP, all other countries | 48596 |
| 999999 | No answer | 524 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 687 | 49120 | 0 | 90000 |
Valid range from 0 to 90000
GB_INC Country specific household income: Great Britain (GB-GBN)
| Value 32169 | Frequency | |
|---|---|---|
| 590 | Less than 770 GBP per month, before taxes | 158 |
| 910 | 771-1.000 GBP | 145 |
| 1200 | 1.001-1.300 GBP | 144 |
| 1500 | 1.301-1.700 GBP | 131 |
| 1900 | 1.701-2.200 GBP | 124 |
| 2400 | 2.201-2.700 GBP | 135 |
| 3000 | 2.701-3.300 GBP | 113 |
| 3700 | 3.301-4.200 GBP | 140 |
| 4800 | 4.201-5.600 GBP | 124 |
| 7200 | 5.601 or more GBP per month, before taxes | 149 |
| 999990 | NAP, all other countries | 48227 |
| 999997 | Refused | 120 |
| 999999 | No answer | 97 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1363 | 48444 | 590 | 7200 |
Valid range from 590 to 7200
GE_INC Country specific household income: Georgia
| Value 32268 | Frequency | |
|---|---|---|
| 20 | 20 GEL, per month, before taxes | 1 |
| 13000 | 13.000 GEL, per month, before taxes | 1 |
| 999990 | NAP, all other countries | 48309 |
| 999999 | No answer, refused, don't know | 305 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1193 | 48614 | 20 | 13000 |
Valid range from 20 to 13000
HR_INC Country specific household income: Croatia
| Value 32367 | Frequency | |
|---|---|---|
| 300 | 300 HRK per month, net | 1 |
| 30000 | 30.000 HRK per month, net | 1 |
| 999990 | NAP, all other countries | 48807 |
| 999999 | No answer | 347 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 653 | 49154 | 300 | 30000 |
Valid range from 300 to 30000
HU_INC Country specific household income: Hungary
| Value 32466 | Frequency | |
|---|---|---|
| 0 | No income | 3 |
| 22800 | 22.800 HUF per month, net | 2 |
| 2000000 | 2.000.000 HUF per month, net | 1 |
| 9999990 | NAP, all other countries | 48800 |
| 9999999 | No answer | 591 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 416 | 49391 | 0 | 2000000 |
Valid range from 0 to 2000000
IL_INC Country specific household income: Israel
| Value 32565 | Frequency | |
|---|---|---|
| 1500 | 3.000 ILS and less, per month, before taxes | 37 |
| 4000 | 3.001-4.500 ILS | 59 |
| 5000 | 4.501-6.000 ILS | 89 |
| 7000 | 6.001-8.000 ILS | 99 |
| 9000 | 8.000-10.000 ILS | 75 |
| 11000 | 10.001-12.000 ILS | 72 |
| 13500 | 12.001-15.000 ILS | 99 |
| 17500 | 15.001-20.000 ILS | 101 |
| 24000 | 20.001-28.000 ILS | 62 |
| 30000 | More than 28.000 ILS per month, before taxes | 45 |
| 999990 | NAP, all other countries | 48603 |
| 999997 | Refused | 253 |
| 999998 | Don't know | 98 |
| 999999 | No answer | 115 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 738 | 49069 | 1500 | 30000 |
Valid range from 1500 to 30000
IN_INC Country specific household income: India
| Value 32664 | Frequency | |
|---|---|---|
| 1500 | Less than 3.000 INR per month, before taxes | 63 |
| 4500 | 3.000 to 6.000 INR | 299 |
| 8000 | 6000 to 10.000 INR | 53 |
| 15000 | 10.000 to 20.000 INR | 504 |
| 35000 | 20.000 to 50.000 INR | 78 |
| 75000 | 50.000 to 100.000 INR | 49 |
| 150000 | More than 100.000 INR per month, before taxes | 17 |
| 999990 | NAP, all other countries | 48598 |
| 999999 | Can't say, no answer | 146 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1063 | 48744 | 1500 | 150000 |
Valid range from 1500 to 150000
IS_INC Country specific household income: Iceland
| Value 32763 | Frequency | |
|---|---|---|
| 1000 | 1.000 ISK per month, before taxes | 1 |
| 7000000 | 7.000.000 ISK per month, before taxes | 1 |
| 9999990 | NAP, all other countries | 48310 |
| 9999997 | Refused | 328 |
| 9999998 | Don't know | 150 |
| 9999999 | No answer | 221 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 798 | 49009 | 1000 | 7000000 |
Valid range from 1000 to 7000000
JP_INC Country specific household income: Japan
| Value 32862 | Frequency | |
|---|---|---|
| 1000000 | Less than 2.000.000 JPY per year, gross income | 173 |
| 2500000 | 2.000.000-2.999.999 JPY | 209 |
| 3500000 | 3.000.000-3.999.999 JPY | 227 |
| 4500000 | 4.000.000-4.999.999 JPY | 171 |
| 5500000 | 5.000.000-5.999.999 JPY | 149 |
| 6500000 | 6.000.000-6.999.999 JPY | 114 |
| 7500000 | 7.000.000-7.999.999 JPY | 103 |
| 8500000 | 8.000.000-8.999.999 JPY | 70 |
| 9500000 | 9.000.000-9.999.999 JPY | 53 |
| 11000000 | 10.000.000-11.999.999 JPY | 62 |
| 13500000 | 12.000.000-14.999.999 JPY | 43 |
| 20000000 | 15.000.000 JPY and more per year, gross income | 39 |
| 99999990 | NAP, all other countries | 48214 |
| 99999999 | No answer | 180 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1413 | 48394 | 1000000 | 20000000 |
Valid range from 1000000 to 20000000
KR_INC Country specific household income: Korea (South)
| Value 32961 | Frequency | |
|---|---|---|
| 0 | No income | 24 |
| 300000 | Less than 500.000 KRW per month, before taxes | 78 |
| 750000 | 500.000-999.999 KRW | 53 |
| 1250000 | 1.000.000-1.499.999 KRW | 65 |
| 1750000 | 1.500.000-1.999.999 KRW | 74 |
| 2250000 | 2.000.000-2.499.999 KRW | 98 |
| 2750000 | 2.500.000-2.999.999 KRW | 91 |
| 3250000 | 3.000.000-3.499.999 KRW | 140 |
| 3750000 | 3.500.000-3.999.999 KRW | 79 |
| 4250000 | 4.000.000-4.499.999 KRW | 124 |
| 4750000 | 4.500.000-4.999.999 KRW | 56 |
| 5250000 | 5.000.000-5.499.999 KRW | 110 |
| 5750000 | 5.000.000-5.999.999 KRW | 33 |
| 6250000 | 6.000.000-6.499.999 KRW | 71 |
| 6750000 | 6.500.000-6.999.999 KRW | 22 |
| 7250000 | 7.000.000-7.499.999 KRW | 31 |
| 7750000 | 7.500.000-7.999.999 KRW | 19 |
| 8250000 | 8.000.000-8.499.999 KRW | 50 |
| 8750000 | 8.500.000-8.999.999 KRW | 13 |
| 9250000 | 9.000.000-9.499.999 KRW | 19 |
| 9750000 | 9.500.000-9.999.999 KRW | 5 |
| 10250000 | 10.000.000 KRW and more per month, before taxes | 104 |
| 99999990 | NAP, other countries | 48437 |
| 99999998 | Don't know | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1359 | 48448 | 0 | 10250000 |
Valid range from 0 to 10250000
LT_INC Country specific household income: Lithuania
| Value 33060 | Frequency | |
|---|---|---|
| 0 | No income | 74 |
| 20 | 20 EUR per month, after taxes | 1 |
| 28 | 22 | |
| 29 | 4 | |
| 43 | 1 | |
| 58 | 1 | |
| 60 | 1 | |
| 72 | 2 | |
| 75 | 1 | |
| 87 | 2 | |
| 93 | 1 | |
| 98 | 2 | |
| 101 | 5 | |
| 110 | 1 | |
| 113 | 1 | |
| 116 | 4 | |
| 127 | 1 | |
| 130 | 4 | |
| 133 | 1 | |
| 136 | 1 | |
| 139 | 2 | |
| 140 | 1 | |
| 142 | 1 | |
| 145 | 12 | |
| 159 | 2 | |
| 165 | 1 | |
| 169 | 1 | |
| 174 | 18 | |
| 188 | 12 | |
| 190 | 1 | |
| 192 | 1 | |
| 194 | 1 | |
| 197 | 2 | |
| 200 | 1 | |
| 202 | 1 | |
| 203 | 17 | |
| 206 | 1 | |
| 210 | 2 | |
| 213 | 1 | |
| 217 | 8 | |
| 220 | 2 | |
| 226 | 2 | |
| 232 | 26 | |
| 234 | 1 | |
| 237 | 2 | |
| 243 | 2 | |
| 246 | 4 | |
| 249 | 1 | |
| 255 | 1 | |
| 260 | 1 | |
| 261 | 10 | |
| 264 | 1 | |
| 266 | 1 | |
| 272 | 1 | |
| 275 | 4 | |
| 290 | 35 | |
| 298 | 1 | |
| 300 | 3 | |
| 301 | 1 | |
| 319 | 8 | |
| 339 | 1 | |
| 342 | 1 | |
| 348 | 19 | |
| 361 | 1 | |
| 362 | 1 | |
| 365 | 1 | |
| 377 | 17 | |
| 391 | 3 | |
| 405 | 8 | |
| 414 | 1 | |
| 420 | 2 | |
| 429 | 1 | |
| 434 | 28 | |
| 443 | 1 | |
| 450 | 1 | |
| 460 | 1 | |
| 463 | 17 | |
| 487 | 1 | |
| 492 | 10 | |
| 500 | 1 | |
| 507 | 2 | |
| 510 | 1 | |
| 513 | 1 | |
| 521 | 6 | |
| 550 | 5 | |
| 565 | 1 | |
| 573 | 1 | |
| 579 | 60 | |
| 600 | 2 | |
| 608 | 2 | |
| 637 | 7 | |
| 657 | 1 | |
| 666 | 3 | |
| 670 | 1 | |
| 695 | 9 | |
| 700 | 1 | |
| 724 | 29 | |
| 753 | 3 | |
| 773 | 1 | |
| 782 | 3 | |
| 799 | 2 | |
| 811 | 9 | |
| 840 | 1 | |
| 857 | 1 | |
| 866 | 1 | |
| 869 | 50 | |
| 898 | 1 | |
| 900 | 1 | |
| 927 | 7 | |
| 956 | 2 | |
| 985 | 1 | |
| 1000 | 1 | |
| 1014 | 14 | |
| 1028 | 1 | |
| 1043 | 1 | |
| 1072 | 1 | |
| 1101 | 2 | |
| 1158 | 23 | |
| 1245 | 2 | |
| 1303 | 5 | |
| 1361 | 1 | |
| 1407 | 1 | |
| 1448 | 12 | |
| 1506 | 1 | |
| 1535 | 1 | |
| 1593 | 3 | |
| 1622 | 1 | |
| 1651 | 1 | |
| 1738 | 6 | |
| 1825 | 1 | |
| 1883 | 1 | |
| 1940 | 1 | |
| 2000 | 2 | |
| 2027 | 1 | |
| 2172 | 1 | |
| 2300 | 1 | |
| 2317 | 8 | |
| 2896 | 2 | |
| 4344 | 4.344 EUR per month, after taxes | 1 |
| 999990 | NAP, all other countries | 48688 |
| 999997 | Refused | 299 |
| 999998 | Don't know | 70 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 750 | 49057 |
Valid range from 0 to 4344
NL_INC Country specific household income: Netherlands
| Value 33159 | Frequency | |
|---|---|---|
| 0 | No income | 61 |
| 500 | Less than 750 EUR per month, net | 46 |
| 875 | 750-1000 EUR | 57 |
| 1125 | 1000-1250 EUR | 62 |
| 1375 | 1250-1500 EUR | 76 |
| 1625 | 1500-1750 EUR | 73 |
| 1875 | 1750-2000 EUR | 117 |
| 2125 | 2000-2250 EUR | 119 |
| 2375 | 2250-2500 EUR | 103 |
| 2750 | 2500-3000 EUR | 171 |
| 3250 | 3000-3500 EUR | 156 |
| 3750 | 3500-4000 EUR | 130 |
| 4500 | 4000-5000 EUR | 118 |
| 5500 | Over 5000 EUR per month, net | 144 |
| 999990 | NAP, all other countries | 48169 |
| 999999 | No answer | 205 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1433 | 48374 |
Valid range from 0 to 5500
NO_INC Country specific household income: Norway
| Value 33258 | Frequency | |
|---|---|---|
| 0 | No income | 1 |
| 10000 | 10.000 NOK per year, gross income | 1 |
| 7925000 | 7.925.000 NOK per year, gross income | 1 |
| 9999990 | NAP, all other countries | 48348 |
| 9999999 | No answer | 210 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1249 | 48558 | 0 | 7925000 |
Valid range from 0 to 7925000
PH_INC Country specific household income: Philippines
| Value 33357 | Frequency | |
|---|---|---|
| 0 | No income | 12 |
| 200 | 200 PHP per month, before taxes | 1 |
| 250000 | 250.000 PHP per month, before taxes | 1 |
| 999990 | NAP, all other countries | 48607 |
| 999997 | Refused | 8 |
| 999998 | Don't know | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1184 | 48623 | 0 | 250000 |
Valid range from 0 to 250000
PL_INC Country specific household income: Poland
| Value 33456 | Frequency | |
|---|---|---|
| 190 | 190 PLN per month, net | 1 |
| 40000 | 40.000 PLN per month, net | 1 |
| 999990 | NAP, all other countries | 47695 |
| 999999 | No answer | 156 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1956 | 47851 | 190 | 40000 |
Valid range from 190 to 40000
RU_INC Country specific household income: Russia
| Value 33555 | Frequency | |
|---|---|---|
| 3600 | 3.600 RUB per month, net | 1 |
| 170000 | 170.000 RUB per month, net | 1 |
| 999990 | NAP, all other countries | 48207 |
| 999997 | Refused | 437 |
| 999998 | Don't know | 382 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 781 | 49026 | 3600 | 170000 |
Valid range from 3600 to 170000
SE_INC Country specific household income: Sweden
| Value 33654 | Frequency | |
|---|---|---|
| 0 | No income | 1 |
| 1050 | 1.050 SEK per month before taxes | 1 |
| 252000 | 252.000 SEK per month, before taxes | 1 |
| 999990 | NAP, all other countries | 48908 |
| 999999 | No answer | 96 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 803 | 49004 | 0 | 252000 |
Valid range from 0 to 252000
SI_INC Country specific household income: Slovenia
| Value 33753 | Frequency | |
|---|---|---|
| 0 | No income | 14 |
| 7 | 7 EUR per month, net | 1 |
| 6500 | 6.500 EUR per month, net | 1 |
| 999990 | NAP, all other countries | 48797 |
| 999997 | Refused | 232 |
| 999998 | Don't know | 193 |
| 999999 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 580 | 49227 | 0 | 6500 |
Valid range from 0 to 6500
SK_INC Country specific household income: Slovak Republic
| Value 33852 | Frequency | |
|---|---|---|
| 75 | Up to 150 EUR per month, net | 3 |
| 225 | 151-300 EUR | 45 |
| 375 | 301-450 EUR | 92 |
| 525 | 451-600 EUR | 117 |
| 675 | 601-750 EUR | 117 |
| 825 | 751-900 EUR | 136 |
| 1050 | 901-1.200 EUR | 197 |
| 1350 | 1.201-1.500 EUR | 135 |
| 1750 | 1.501-2.000 EUR | 103 |
| 2500 | 2.001-3.000 EUR | 35 |
| 3500 | More than 3.000 EUR per month, net | 12 |
| 999990 | NAP, all other countries | 48651 |
| 999999 | No answer | 164 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 992 | 48815 | 75 | 3500 |
Valid range from 75 to 3500
TR_INC Country specific household income: Turkey
| Value 33951 | Frequency | |
|---|---|---|
| 100 | 100 TRY per month, gross income | 2 |
| 10000 | 10.000 TRY per month, gross income | 2 |
| 999990 | NAP, all other countries | 48298 |
| 999999 | No answer | 263 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1246 | 48561 | 100 | 10000 |
Valid range from 100 to 10000
TW_INC Country specific household income: Taiwan
| Value 34050 | Frequency | |
|---|---|---|
| 0 | No income | 6 |
| 5000 | Up to 10.000 TWD per month, before taxes | 58 |
| 15000 | 10.001-20.000 TWD | 74 |
| 25000 | 20.001-30.000 TWD | 105 |
| 35000 | 30.001-40.000 TWD | 104 |
| 45000 | 40.001-50.000 TWD | 134 |
| 55000 | 50.001-60.000 TWD | 127 |
| 65000 | 60.001-70.000 TWD | 98 |
| 75000 | 70.001-80.000 TWD | 110 |
| 85000 | 80.001-90.000 TWD | 76 |
| 95000 | 90.001-100.000 TWD | 93 |
| 105000 | 100.001-110.000 TWD | 54 |
| 115000 | 110.001-120.000 TWD | 45 |
| 125000 | 120.001-130.000 TWD | 43 |
| 135000 | 130.001-140.000 TWD | 27 |
| 145000 | 140.001-150.000 TWD | 28 |
| 155000 | 150.001-160.000 TWD | 34 |
| 165000 | 160.001-170.000 TWD | 15 |
| 175000 | 170.001-180.000 TWD | 18 |
| 185000 | 180.001-190.000 TWD | 6 |
| 195000 | 190.001-200.000 TWD | 22 |
| 250000 | 200.001-300.000 TWD | 37 |
| 350000 | 300.001-400.000 TWD | 12 |
| 450000 | 400.001-500.000 TWD | 2 |
| 750000 | 500.001-1.000.000 TWD | 7 |
| 1250000 | More than 1.000.000 TWD per month, before taxes | 7 |
| 9999990 | NAP, other countries | 47932 |
| 9999997 | Refused | 80 |
| 9999998 | Don't know | 453 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1342 | 48465 | 0 | 1250000 |
Valid range from 0 to 1250000
US_INC Country specific household income: United States
| Value 34149 | Frequency | |
|---|---|---|
| 500 | Under 1.000 USD per year, before taxes | 21 |
| 2000 | 1.000-2.999 USD | 13 |
| 3500 | 3.000-3.999 USD | 8 |
| 4500 | 4.000-4.999 USD | 8 |
| 5500 | 5.000-5.999 USD | 12 |
| 6500 | 6.000-6.999 USD | 9 |
| 7500 | 7.000-7.999 USD | 7 |
| 9000 | 8.000-9.999 USD | 25 |
| 11250 | 10.000-12499 USD | 43 |
| 13750 | 12500-14.999 USD | 32 |
| 16750 | 15.000-17.499 USD | 37 |
| 18750 | 17.500-19.999 USD | 23 |
| 21750 | 20.000-22.499 USD | 37 |
| 23750 | 22.500-24.999 USD | 48 |
| 27500 | 25.000-29.999 USD | 54 |
| 32500 | 30.000-34.999 USD | 72 |
| 37500 | 35.000-39.999 USD | 51 |
| 45000 | 40.000-49.999 USD | 87 |
| 55000 | 50.000-59.999 USD | 92 |
| 67500 | 60.000-74.999 USD | 116 |
| 82500 | 75.000-89.999 USD | 90 |
| 100000 | 90.000-109.999 USD | 88 |
| 120000 | 110.000-129.999 USD | 46 |
| 140000 | 130.000-149.999 USD | 34 |
| 160000 | 150.000 USD or more per year, before taxes | 98 |
| 999990 | NAP, all other countries | 48543 |
| 999997 | Refused | 69 |
| 999998 | Don't know | 44 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1151 | 48656 | 500 | 160000 |
Valid range from 500 to 160000
VE_INC Country specific household income: Venezuela
| Value 34248 | Frequency | |
|---|---|---|
| 1000 | 1.000 VEF per month | 4 |
| 300000 | 300.000 VEF per month | 1 |
| 999990 | NAP, all other countries | 48798 |
| 999999 | No answer | 44 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 965 | 48842 | 1000 | 300000 |
Valid range from 1000 to 300000
ZA_INC Country specific household income: South Africa
| Value 34347 | Frequency | |
|---|---|---|
| 0 | No income | 67 |
| 250 | 500 ZAR and less per month, before taxes | 102 |
| 625 | 501-750 ZAR | 87 |
| 875 | 751-1.000 ZAR | 116 |
| 1250 | 1.001-1.500 ZAR | 315 |
| 1750 | 1.501-2.000 ZAR | 259 |
| 2500 | 2.001-3.000 ZAR | 313 |
| 4000 | 3.001-5.000 ZAR | 268 |
| 6250 | 5.001-7.500 ZAR | 159 |
| 8750 | 7.501-10.000 ZAR | 127 |
| 12500 | 10.001-15.000 ZAR | 124 |
| 17500 | 15.001-20.000 ZAR | 95 |
| 25000 | 20.001-30.000 ZAR | 89 |
| 40000 | 30.001-50.000 ZAR | 68 |
| 60000 | More than 50.000 ZAR per month, before taxes | 40 |
| 999990 | NAP, all other countries | 46683 |
| 999997 | Refused | 530 |
| 999998 | Don't know | 319 |
| 999999 | No answer | 46 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2229 | 47578 | 0 | 60000 |
Valid range from 0 to 60000
MARITAL Legal partnership status
| Value 34446 | Frequency | |
|---|---|---|
| 1 | Married | 25932 |
| 2 | Civil partnership (IS: in registered cohabition) | 1028 |
| 3 | Separated from spouse/ civil partner (still legally married/ | 779 |
| 4 | Divorced from spouse/ legally separated from civil partner | 3605 |
| 5 | Widowed/ civil partner died | 4186 |
| 6 | Never married/ never in a civil partnership, single | 13728 |
| 7 | Refused | 95 |
| 9 | No answer | 454 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49258 | 549 |
Valid range from 1 to 6
F_BORN Father's country of birth
| Value 34545 | Frequency | |
|---|---|---|
| 4 | Afghanistan | 5 |
| 8 | Albania | 6 |
| 10 | Antarctica | 0 |
| 12 | Algeria | 75 |
| 16 | American Samoa | 0 |
| 20 | Andorra | 0 |
| 24 | Angola | 2 |
| 28 | Antigua and Barbuda | 0 |
| 31 | Azerbaijan | 19 |
| 32 | Argentina | 11 |
| 36 | Australia | 877 |
| 40 | Austria | 928 |
| 44 | Bahamas | 0 |
| 48 | Bahrain | 0 |
| 50 | Bangladesh | 4 |
| 51 | Armenia | 20 |
| 52 | Barbados | 0 |
| 56 | Belgium | 1682 |
| 60 | Bermuda | 0 |
| 64 | Bhutan | 0 |
| 68 | Bolivia, Plurinational State of | 5 |
| 70 | Bosnia and Herzegovina | 214 |
| 72 | Botswana | 0 |
| 74 | Bouvet Island | 0 |
| 76 | Brazil | 23 |
| 84 | Belize | 0 |
| 86 | British Indian Ocean Territory | 0 |
| 90 | Solomon Islands | 0 |
| 92 | Virgin Islands, British | 0 |
| 96 | Brunei Darussalam | 0 |
| 100 | Bulgaria | 31 |
| 104 | Myanmar | 4 |
| 108 | Burundi | 0 |
| 112 | Belarus | 56 |
| 116 | Cambodia | 4 |
| 120 | Cameroon | 13 |
| 124 | Canada | 5 |
| 132 | Cape Verde | 0 |
| 136 | Cayman Islands | 0 |
| 140 | Central African Republic | 1 |
| 144 | Sri Lanka | 13 |
| 148 | Chad | 0 |
| 152 | Chile | 1391 |
| 156 | China | 212 |
| 158 | Taiwan | 1689 |
| 162 | Christmas Island | 0 |
| 166 | Cocos (Keeling) Islands | 0 |
| 170 | Colombia | 54 |
| 174 | Comoros | 0 |
| 175 | Mayotte | 1 |
| 178 | Congo | 3 |
| 180 | Congo, the Democratic Republic of the | 23 |
| 184 | Cook Islands | 0 |
| 188 | Costa Rica | 1 |
| 191 | Croatia | 901 |
| 192 | Cuba | 8 |
| 196 | Cyprus | 3 |
| 200 | Czechoslovakia | 19 |
| 203 | Czech Republic | 1438 |
| 204 | Benin | 3 |
| 208 | Denmark | 1635 |
| 212 | Dominica | 0 |
| 214 | Dominican Republic | 6 |
| 218 | Ecuador | 15 |
| 222 | El Salvador | 1 |
| 226 | Equatorial Guinea | 0 |
| 231 | Ethiopia | 6 |
| 232 | Eritrea | 6 |
| 233 | Estonia | 12 |
| 234 | Faroe Islands | 6 |
| 238 | Falkland Islands (Malvinas) | 0 |
| 239 | South Georgia and the South Sandwich Islands | 0 |
| 242 | Fiji | 2 |
| 246 | Finland | 1447 |
| 248 | Ă…land Islands | 0 |
| 250 | France | 1089 |
| 254 | French Guiana | 0 |
| 258 | French Polynesia | 0 |
| 260 | French Southern Territories | 0 |
| 262 | Djibouti | 0 |
| 266 | Gabon | 1 |
| 268 | Georgia | 1425 |
| 270 | Gambia | 0 |
| 275 | Palestine, State of | 4 |
| 276 | Germany | 1660 |
| 288 | Ghana | 6 |
| 292 | Gibraltar | 0 |
| 296 | Kiribati | 0 |
| 300 | Greece | 36 |
| 304 | Greenland | 2 |
| 308 | Grenada | 0 |
| 312 | Guadeloupe | 4 |
| 316 | Guam | 0 |
| 320 | Guatemala | 4 |
| 324 | Guinea | 2 |
| 328 | Guyana | 0 |
| 332 | Haiti | 0 |
| 334 | Heard Island and McDonald Islands | 0 |
| 336 | Holy See (Vatican City State) | 0 |
| 340 | Honduras | 3 |
| 344 | Hong Kong | 4 |
| 348 | Hungary | 45 |
| 352 | Iceland | 1373 |
| 356 | India | 1238 |
| 360 | Indonesia | 35 |
| 364 | Iran, Islamic Republic of | 58 |
| 368 | Iraq | 57 |
| 372 | Ireland | 16 |
| 376 | Israel | 432 |
| 380 | Italy | 252 |
| 384 | CĂ´te d'Ivoire | 5 |
| 388 | Jamaica | 0 |
| 392 | Japan | 1584 |
| 398 | Kazakhstan | 23 |
| 400 | Jordan | 5 |
| 404 | Kenya | 2 |
| 408 | Korea, Democratic People's Republic of | 0 |
| 410 | Korea, Republic of | 3 |
| 414 | Kuwait | 0 |
| 417 | Kyrgyzstan | 4 |
| 418 | Lao People's Democratic Republic | 2 |
| 422 | Lebanon | 11 |
| 426 | Lesotho | 0 |
| 428 | Latvia | 7 |
| 430 | Liberia | 0 |
| 434 | Libya | 15 |
| 438 | Liechtenstein | 0 |
| 440 | Lithuania | 1053 |
| 442 | Luxembourg | 4 |
| 446 | Macao | 0 |
| 450 | Madagascar | 5 |
| 454 | Malawi | 0 |
| 458 | Malaysia | 9 |
| 462 | Maldives | 0 |
| 466 | Mali | 1 |
| 470 | Malta | 10 |
| 474 | Martinique | 0 |
| 478 | Mauritania | 0 |
| 480 | Mauritius | 5 |
| 484 | Mexico | 4 |
| 492 | Monaco | 0 |
| 496 | Mongolia | 1 |
| 498 | Moldova, Republic of | 5 |
| 499 | Montenegro | 6 |
| 500 | Montserrat | 0 |
| 504 | Morocco | 194 |
| 508 | Mozambique | 3 |
| 512 | Oman | 0 |
| 516 | Namibia | 1 |
| 520 | Nauru | 0 |
| 524 | Nepal | 3 |
| 528 | Netherlands | 1527 |
| 530 | Netherlands Antilles | 4 |
| 531 | Curaçao | 0 |
| 533 | Aruba | 1 |
| 534 | Sint Maarten (Dutch part) | 0 |
| 535 | Bonaire, Sint Eustatius and Saba | 0 |
| 540 | New Caledonia | 1 |
| 548 | Vanuatu | 0 |
| 554 | New Zealand | 21 |
| 558 | Nicaragua | 2 |
| 562 | Niger | 1 |
| 566 | Nigeria | 2 |
| 570 | Niue | 0 |
| 574 | Norfolk Island | 0 |
| 578 | Norway | 1318 |
| 580 | Northern Mariana Islands | 0 |
| 581 | United States Minor Outlying Islands | 0 |
| 583 | Micronesia, Federated States of | 0 |
| 584 | Marshall Islands | 0 |
| 585 | Palau | 0 |
| 586 | Pakistan | 14 |
| 591 | Panama | 0 |
| 598 | Papua New Guinea | 0 |
| 600 | Paraguay | 5 |
| 604 | Peru | 19 |
| 608 | Philippines | 1232 |
| 612 | Pitcairn | 0 |
| 616 | Poland | 2152 |
| 620 | Portugal | 62 |
| 624 | Guinea-Bissau | 0 |
| 626 | Timor-Leste | 1 |
| 630 | Puerto Rico | 0 |
| 634 | Qatar | 0 |
| 638 | RĂ©union | 3 |
| 642 | Romania | 91 |
| 643 | Russian Federation | 1586 |
| 646 | Rwanda | 3 |
| 652 | Saint Barthélemy | 0 |
| 654 | Saint Helena, Ascension and Tristan da Cunha | 0 |
| 659 | Saint Kitts and Nevis | 0 |
| 660 | Anguilla | 0 |
| 662 | Saint Lucia | 0 |
| 663 | Saint Martin (French part) | 0 |
| 666 | Saint Pierre and Miquelon | 0 |
| 670 | Saint Vincent and the Grenadines | 0 |
| 674 | San Marino | 0 |
| 678 | Sao Tome and Principe | 0 |
| 682 | Saudi Arabia | 1 |
| 686 | Senegal | 6 |
| 688 | Serbia | 62 |
| 690 | Seychelles | 0 |
| 694 | Sierra Leone | 0 |
| 702 | Singapore | 2 |
| 703 | Slovakia | 1195 |
| 704 | Viet Nam | 32 |
| 705 | Slovenia | 860 |
| 706 | Somalia | 7 |
| 710 | South Africa | 12 |
| 716 | Zimbabwe | 1 |
| 724 | Spain | 1665 |
| 728 | South Sudan | 8 |
| 729 | Sudan | 2 |
| 732 | Western Sahara | 2 |
| 736 | Sudan (before South Sudan split away in 2011) | 1 |
| 740 | Suriname | 23 |
| 744 | Svalbard and Jan Mayen | 0 |
| 748 | Swaziland | 0 |
| 752 | Sweden | 767 |
| 756 | Switzerland | 809 |
| 760 | Syrian Arab Republic | 11 |
| 762 | Tajikistan | 1 |
| 764 | Thailand | 21 |
| 768 | Togo | 3 |
| 772 | Tokelau | 0 |
| 776 | Tonga | 1 |
| 780 | Trinidad and Tobago | 1 |
| 784 | United Arab Emirates | 0 |
| 788 | Tunisia | 36 |
| 792 | Turkey | 1661 |
| 795 | Turkmenistan | 0 |
| 796 | Turks and Caicos Islands | 0 |
| 798 | Tuvalu | 0 |
| 800 | Uganda | 4 |
| 804 | Ukraine | 98 |
| 807 | Macedonia, the former Yugoslav Republic of | 31 |
| 810 | USSR | 0 |
| 818 | Egypt | 9 |
| 826 | United Kingdom | 56 |
| 831 | Guernsey | 1 |
| 832 | Jersey | 0 |
| 833 | Isle of Man | 0 |
| 834 | Tanzania, United Republic of | 1 |
| 840 | United States | 1076 |
| 850 | Virgin Islands, U.S. | 0 |
| 854 | Burkina Faso | 3 |
| 858 | Uruguay | 4 |
| 860 | Uzbekistan | 6 |
| 862 | Venezuela, Bolivarian Republic of | 953 |
| 876 | Wallis and Futuna | 0 |
| 882 | Samoa | 1 |
| 887 | Yemen | 20 |
| 891 | Yugoslavia, Serbia and Montenegro (deleted codes) | 36 |
| 894 | Zambia | 0 |
| 895 | AT: Former Yugoslavia | 47 |
| 896 | AT: other country | 40 |
| 915 | Kosovo | 31 |
| 950 | US: outside of US | 250 |
| 971 | AU: Engand | 139 |
| 973 | AU: Northern Ireland | 7 |
| 974 | AU: Scotland | 27 |
| 975 | AU: Wales | 2 |
| 0 | Not available (GB, HU, KR, ZA) | 7081 |
| 990 | NAP (CH: unknown paternity; IL: born in Israel) | 380 |
| 996 | Non-classifiable groups | 3 |
| 997 | Refused | 31 |
| 998 | Don't know, JP: other than Japan without details | 21 |
| 999 | No answer; NL: NA, others | 623 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41668 | 8139 | 4 | 975 |
Valid range from 4 to 975
M_BORN Mother's country of birth
| Value 34644 | Frequency | |
|---|---|---|
| 4 | Afghanistan | 4 |
| 8 | Albania | 6 |
| 10 | Antarctica | 0 |
| 12 | Algeria | 56 |
| 16 | American Samoa | 0 |
| 20 | Andorra | 0 |
| 24 | Angola | 4 |
| 28 | Antigua and Barbuda | 0 |
| 31 | Azerbaijan | 15 |
| 32 | Argentina | 13 |
| 36 | Australia | 902 |
| 40 | Austria | 940 |
| 44 | Bahamas | 0 |
| 48 | Bahrain | 0 |
| 50 | Bangladesh | 3 |
| 51 | Armenia | 17 |
| 52 | Barbados | 0 |
| 56 | Belgium | 1664 |
| 60 | Bermuda | 0 |
| 64 | Bhutan | 0 |
| 68 | Bolivia, Plurinational State of | 3 |
| 70 | Bosnia and Herzegovina | 200 |
| 72 | Botswana | 0 |
| 74 | Bouvet Island | 0 |
| 76 | Brazil | 21 |
| 84 | Belize | 0 |
| 86 | British Indian Ocean Territory | 0 |
| 90 | Solomon Islands | 0 |
| 92 | Virgin Islands, British | 0 |
| 96 | Brunei Darussalam | 0 |
| 100 | Bulgaria | 27 |
| 104 | Myanmar | 5 |
| 108 | Burundi | 2 |
| 112 | Belarus | 55 |
| 116 | Cambodia | 4 |
| 120 | Cameroon | 12 |
| 124 | Canada | 8 |
| 132 | Cape Verde | 0 |
| 136 | Cayman Islands | 0 |
| 140 | Central African Republic | 2 |
| 144 | Sri Lanka | 12 |
| 148 | Chad | 0 |
| 152 | Chile | 1411 |
| 156 | China | 133 |
| 158 | Taiwan | 1772 |
| 162 | Christmas Island | 0 |
| 166 | Cocos (Keeling) Islands | 0 |
| 170 | Colombia | 53 |
| 174 | Comoros | 0 |
| 175 | Mayotte | 1 |
| 178 | Congo | 2 |
| 180 | Congo, the Democratic Republic of the | 25 |
| 184 | Cook Islands | 0 |
| 188 | Costa Rica | 1 |
| 191 | Croatia | 877 |
| 192 | Cuba | 9 |
| 196 | Cyprus | 2 |
| 200 | Czechoslovakia | 20 |
| 203 | Czech Republic | 1444 |
| 204 | Benin | 3 |
| 208 | Denmark | 1626 |
| 212 | Dominica | 0 |
| 214 | Dominican Republic | 8 |
| 218 | Ecuador | 14 |
| 222 | El Salvador | 1 |
| 226 | Equatorial Guinea | 0 |
| 231 | Ethiopia | 5 |
| 232 | Eritrea | 6 |
| 233 | Estonia | 14 |
| 234 | Faroe Islands | 12 |
| 238 | Falkland Islands (Malvinas) | 0 |
| 239 | South Georgia and the South Sandwich Islands | 0 |
| 242 | Fiji | 2 |
| 246 | Finland | 1467 |
| 248 | Ă…land Islands | 0 |
| 250 | France | 1119 |
| 254 | French Guiana | 0 |
| 258 | French Polynesia | 0 |
| 260 | French Southern Territories | 0 |
| 262 | Djibouti | 0 |
| 266 | Gabon | 1 |
| 268 | Georgia | 1399 |
| 270 | Gambia | 0 |
| 275 | Palestine, State of | 3 |
| 276 | Germany | 1691 |
| 288 | Ghana | 5 |
| 292 | Gibraltar | 0 |
| 296 | Kiribati | 0 |
| 300 | Greece | 28 |
| 304 | Greenland | 4 |
| 308 | Grenada | 0 |
| 312 | Guadeloupe | 4 |
| 316 | Guam | 0 |
| 320 | Guatemala | 3 |
| 324 | Guinea | 4 |
| 328 | Guyana | 0 |
| 332 | Haiti | 0 |
| 334 | Heard Island and McDonald Islands | 0 |
| 336 | Holy See (Vatican City State) | 0 |
| 340 | Honduras | 3 |
| 344 | Hong Kong | 3 |
| 348 | Hungary | 42 |
| 352 | Iceland | 1373 |
| 356 | India | 1238 |
| 360 | Indonesia | 32 |
| 364 | Iran, Islamic Republic of | 52 |
| 368 | Iraq | 52 |
| 372 | Ireland | 18 |
| 376 | Israel | 462 |
| 380 | Italy | 214 |
| 384 | CĂ´te d'Ivoire | 5 |
| 388 | Jamaica | 2 |
| 392 | Japan | 1578 |
| 398 | Kazakhstan | 26 |
| 400 | Jordan | 4 |
| 404 | Kenya | 6 |
| 408 | Korea, Democratic People's Republic of | 0 |
| 410 | Korea, Republic of | 3 |
| 414 | Kuwait | 0 |
| 417 | Kyrgyzstan | 3 |
| 418 | Lao People's Democratic Republic | 1 |
| 422 | Lebanon | 12 |
| 426 | Lesotho | 0 |
| 428 | Latvia | 10 |
| 430 | Liberia | 0 |
| 434 | Libya | 16 |
| 438 | Liechtenstein | 0 |
| 440 | Lithuania | 1057 |
| 442 | Luxembourg | 3 |
| 446 | Macao | 2 |
| 450 | Madagascar | 4 |
| 454 | Malawi | 0 |
| 458 | Malaysia | 9 |
| 462 | Maldives | 0 |
| 466 | Mali | 1 |
| 470 | Malta | 11 |
| 474 | Martinique | 0 |
| 478 | Mauritania | 0 |
| 480 | Mauritius | 4 |
| 484 | Mexico | 6 |
| 492 | Monaco | 0 |
| 496 | Mongolia | 1 |
| 498 | Moldova, Republic of | 6 |
| 499 | Montenegro | 5 |
| 500 | Montserrat | 0 |
| 504 | Morocco | 202 |
| 508 | Mozambique | 2 |
| 512 | Oman | 0 |
| 516 | Namibia | 0 |
| 520 | Nauru | 0 |
| 524 | Nepal | 3 |
| 528 | Netherlands | 1528 |
| 530 | Netherlands Antilles | 3 |
| 531 | Curaçao | 0 |
| 533 | Aruba | 0 |
| 534 | Sint Maarten (Dutch part) | 0 |
| 535 | Bonaire, Sint Eustatius and Saba | 0 |
| 540 | New Caledonia | 1 |
| 548 | Vanuatu | 0 |
| 554 | New Zealand | 18 |
| 558 | Nicaragua | 2 |
| 562 | Niger | 1 |
| 566 | Nigeria | 2 |
| 570 | Niue | 0 |
| 574 | Norfolk Island | 0 |
| 578 | Norway | 1314 |
| 580 | Northern Mariana Islands | 0 |
| 581 | United States Minor Outlying Islands | 0 |
| 583 | Micronesia, Federated States of | 0 |
| 584 | Marshall Islands | 0 |
| 585 | Palau | 0 |
| 586 | Pakistan | 11 |
| 591 | Panama | 0 |
| 598 | Papua New Guinea | 0 |
| 600 | Paraguay | 5 |
| 604 | Peru | 21 |
| 608 | Philippines | 1239 |
| 612 | Pitcairn | 0 |
| 616 | Poland | 2158 |
| 620 | Portugal | 57 |
| 624 | Guinea-Bissau | 0 |
| 626 | Timor-Leste | 1 |
| 630 | Puerto Rico | 0 |
| 634 | Qatar | 0 |
| 638 | RĂ©union | 3 |
| 642 | Romania | 86 |
| 643 | Russian Federation | 1614 |
| 646 | Rwanda | 3 |
| 652 | Saint Barthélemy | 0 |
| 654 | Saint Helena, Ascension and Tristan da Cunha | 0 |
| 659 | Saint Kitts and Nevis | 0 |
| 660 | Anguilla | 0 |
| 662 | Saint Lucia | 0 |
| 663 | Saint Martin (French part) | 0 |
| 666 | Saint Pierre and Miquelon | 0 |
| 670 | Saint Vincent and the Grenadines | 0 |
| 674 | San Marino | 0 |
| 678 | Sao Tome and Principe | 0 |
| 682 | Saudi Arabia | 0 |
| 686 | Senegal | 6 |
| 688 | Serbia | 55 |
| 690 | Seychelles | 0 |
| 694 | Sierra Leone | 0 |
| 702 | Singapore | 2 |
| 703 | Slovakia | 1203 |
| 704 | Viet Nam | 33 |
| 705 | Slovenia | 897 |
| 706 | Somalia | 7 |
| 710 | South Africa | 19 |
| 716 | Zimbabwe | 2 |
| 724 | Spain | 1661 |
| 728 | South Sudan | 11 |
| 729 | Sudan | 3 |
| 732 | Western Sahara | 2 |
| 736 | Sudan (before South Sudan split away in 2011) | 1 |
| 740 | Suriname | 23 |
| 744 | Svalbard and Jan Mayen | 0 |
| 748 | Swaziland | 0 |
| 752 | Sweden | 779 |
| 756 | Switzerland | 787 |
| 760 | Syrian Arab Republic | 7 |
| 762 | Tajikistan | 1 |
| 764 | Thailand | 24 |
| 768 | Togo | 3 |
| 772 | Tokelau | 0 |
| 776 | Tonga | 2 |
| 780 | Trinidad and Tobago | 1 |
| 784 | United Arab Emirates | 0 |
| 788 | Tunisia | 32 |
| 792 | Turkey | 1649 |
| 795 | Turkmenistan | 1 |
| 796 | Turks and Caicos Islands | 0 |
| 798 | Tuvalu | 0 |
| 800 | Uganda | 4 |
| 804 | Ukraine | 114 |
| 807 | Macedonia, the former Yugoslav Republic of | 32 |
| 810 | USSR | 1 |
| 818 | Egypt | 10 |
| 826 | United Kingdom | 55 |
| 831 | Guernsey | 1 |
| 832 | Jersey | 0 |
| 833 | Isle of Man | 0 |
| 834 | Tanzania, United Republic of | 1 |
| 840 | United States | 1065 |
| 850 | Virgin Islands, U.S. | 0 |
| 854 | Burkina Faso | 3 |
| 858 | Uruguay | 4 |
| 860 | Uzbekistan | 5 |
| 862 | Venezuela, Bolivarian Republic of | 959 |
| 876 | Wallis and Futuna | 0 |
| 882 | Samoa | 1 |
| 887 | Yemen | 20 |
| 891 | Yugoslavia, Serbia and Montenegro (deleted codes) | 32 |
| 894 | Zambia | 1 |
| 895 | AT: Former Yugoslavia | 40 |
| 896 | AT: other country | 43 |
| 915 | Kosovo | 32 |
| 950 | US: outside of US | 249 |
| 971 | AU: Engand | 132 |
| 973 | AU: Northern Ireland | 4 |
| 974 | AU: Scotland | 24 |
| 975 | AU: Wales | 1 |
| 0 | Not available (GB, HU, KR, ZA) | 7081 |
| 990 | NAP (CH: unknown maternity; IL: born in Israel) | 369 |
| 996 | Non-classifiable groups | 4 |
| 997 | Refused | 27 |
| 998 | Don't know, JP: other than Japan without details | 14 |
| 999 | No answer; NL: NA, others | 586 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41726 | 8081 | 4 | 975 |
Valid range from 4 to 975
URBRURAL Place of living: urban - rural
| Value 34743 | Frequency | |
|---|---|---|
| 1 | A big city, ZA: urban, formal | 14356 |
| 2 | The suburbs or outskirts of a big city, ZA: urban, informal | 7882 |
| 3 | A town or a small city | 11801 |
| 4 | A country village, ZA: tribal | 12716 |
| 5 | A farm or home in the country, ZA: rural, formal | 2545 |
| 7 | GB: other answer | 3 |
| 8 | Don't know | 8 |
| 9 | No answer | 496 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49303 | 504 |
Valid range from 1 to 7
AT_REG Country specific region: Austria
| Value 34842 | Frequency | |
|---|---|---|
| 1 | Vorarlberg | 42 |
| 2 | Tirol | 84 |
| 3 | Salzburg | 91 |
| 4 | Oberoesterreich | 183 |
| 5 | Kaernten | 70 |
| 6 | Steiermark | 138 |
| 7 | Burgenland | 35 |
| 8 | Niederoesterreich | 189 |
| 9 | Wien | 201 |
| 0 | NAP, other countries | 48774 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1033 | 48774 |
Valid range from 1 to 9
AU_REG Country specific region: Australia
| Value 34941 | Frequency | |
|---|---|---|
| 1 | New South Wales | 457 |
| 2 | Victoria | 371 |
| 3 | Queensland | 259 |
| 4 | South Australia | 133 |
| 5 | Western Australia | 132 |
| 6 | Tasmania | 39 |
| 7 | Australian Capital Territory | 35 |
| 8 | Northern Territory | 6 |
| 0 | NAP, other countries | 48375 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1432 | 48375 |
Valid range from 1 to 8
BE_REG Country specific region: Belgium
| Value 35040 | Frequency | |
|---|---|---|
| 10 | Brussels Capital Region | 581 |
| 21 | Antwerp | 284 |
| 22 | Limburg | 127 |
| 23 | East Flanders | 235 |
| 24 | Flemish Brabant | 163 |
| 25 | West Flanders | 190 |
| 31 | Brabant Wallon | 79 |
| 32 | Hainaut | 240 |
| 33 | Liege | 205 |
| 34 | Prov. Luxembourg | 53 |
| 35 | Namur | 107 |
| 0 | NAP, other countries | 47543 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2264 | 47543 | 10 | 35 |
Valid range from 10 to 35
CH_REG Country specific region: Switzerland
| Value 35139 | Frequency | |
|---|---|---|
| 1 | Region lemanique (VD, VS, GE) | 228 |
| 2 | Espace Mittelland (BE, FR, SO, NE, JU) | 294 |
| 3 | Nordschweiz (BS, BL, AG) | 130 |
| 4 | Zuerich (ZH) | 220 |
| 5 | Ostschweiz (GL, SH, AR, AI, SG, GR, TG) | 200 |
| 6 | Zentralschweiz (LU, UR, SZ, OW, NW, ZG) | 120 |
| 7 | Ticino (TI) | 43 |
| 0 | NAP, other countries | 48572 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1235 | 48572 |
Valid range from 1 to 7
CL_REG Country specific region: Chile
| Value 35238 | Frequency | |
|---|---|---|
| 1 | Tarapaca | 21 |
| 2 | Antofagasta | 53 |
| 3 | Atacama | 19 |
| 4 | Coquimbo | 61 |
| 5 | Valparaiso | 146 |
| 6 | Libertador General Bernardo O’Higgins | 75 |
| 7 | Maule | 88 |
| 8 | Biobio | 199 |
| 9 | La Araucania | 90 |
| 10 | Los Lagos | 82 |
| 11 | Aisen | 5 |
| 12 | Magallanes and Antartica Chilena | 18 |
| 13 | Metropolitana de Santiago | 519 |
| 14 | Los Lagos | 37 |
| 15 | Arica y Parinacota | 19 |
| 0 | NAP, other countries | 48375 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1432 | 48375 |
Valid range from 1 to 15
CZ_REG Country specific region: Czech Republic
| Value 35337 | Frequency | |
|---|---|---|
| 1 | Prague | 201 |
| 2 | Central Bohemia | 157 |
| 3 | South Bohemia | 78 |
| 4 | Pilsen | 91 |
| 5 | Carlsbad | 15 |
| 6 | Usti | 135 |
| 7 | Liberec | 108 |
| 8 | Hradec Kralove | 13 |
| 9 | Pardubice | 113 |
| 10 | Vysocina | 71 |
| 11 | South Moravia | 163 |
| 12 | Olomouc | 69 |
| 13 | Moravia-Silesia | 173 |
| 14 | Zlin | 145 |
| 0 | NAP, other countries | 48275 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1532 | 48275 |
Valid range from 1 to 14
DE_REG Country specific region: Germany
| Value 35436 | Frequency | |
|---|---|---|
| 1 | Schleswig-Holstein | 53 |
| 2 | Hamburg | 29 |
| 3 | Niedersachsen | 132 |
| 4 | Bremen | 14 |
| 5 | Nordrhein-Westfalen | 269 |
| 6 | Hessen | 109 |
| 7 | Rheinland-Pfalz | 75 |
| 8 | Baden-Wuerttemberg | 205 |
| 9 | Bayern | 233 |
| 10 | Saarland | 14 |
| 11 | Berlin-Ost | 48 |
| 12 | Mecklenburg-Vorpommern | 71 |
| 13 | Brandenburg | 116 |
| 14 | Sachsen-Anhalt | 90 |
| 15 | Thueringen | 91 |
| 16 | Sachsen | 147 |
| 17 | Berlin-West | 22 |
| 0 | NAP, other countries | 48089 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1718 | 48089 |
Valid range from 1 to 17
DK_REG Country specific region: Denmark
| Value 35535 | Frequency | |
|---|---|---|
| 1 | Capital Region of Denmark | 510 |
| 2 | Region Sealand | 266 |
| 3 | Central Region of Denmark | 407 |
| 4 | Region Northern Jutland | 206 |
| 5 | Region of Southern Denmark | 369 |
| 0 | NAP, other countries | 48049 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1758 | 48049 |
Valid range from 1 to 5
ES_REG Country specific region: Spain
| Value 35634 | Frequency | |
|---|---|---|
| 1 | Andalucia | 337 |
| 2 | Aragon | 57 |
| 3 | Asturias | 50 |
| 4 | Baleares | 37 |
| 5 | Canarias | 68 |
| 6 | Cantabria | 30 |
| 7 | Castilla-La Mancha | 75 |
| 8 | Castilla-Leon | 113 |
| 9 | Cataluna | 266 |
| 10 | Comunidad Valenciana | 195 |
| 11 | Extremadura | 50 |
| 12 | Galicia | 114 |
| 13 | Madrid | 183 |
| 14 | Region de Murcia | 48 |
| 15 | Navarra | 22 |
| 16 | Pais Vasco | 99 |
| 17 | La Rioja | 5 |
| 18 | Ceuta | 1 |
| 19 | Melilla | 5 |
| 0 | NAP, other countries | 48052 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1755 | 48052 |
Valid range from 1 to 19
FI_REG Country specific region: Finland
| Value 35733 | Frequency | |
|---|---|---|
| 1 | Uusimaa | 426 |
| 2 | Varsinais-Suomi | 139 |
| 4 | Satakunta | 63 |
| 5 | Kanta-Haeme | 55 |
| 6 | Pirkanmaa | 148 |
| 7 | Paeijaet-Haeme | 54 |
| 8 | Kymenlaakso | 53 |
| 9 | South Karelia | 35 |
| 10 | Etelae-Savo | 44 |
| 11 | Pohjois-Savo | 76 |
| 12 | North Karelia | 44 |
| 13 | Central Finland | 71 |
| 14 | South Ostrobothnia | 43 |
| 15 | Ostrobothnia | 52 |
| 16 | Central Ostrobothnia | 17 |
| 17 | North Ostrobothnia | 106 |
| 18 | Kainuu | 21 |
| 19 | Lapland | 52 |
| 21 | Aland | 6 |
| 0 | NAP, other countries | 48302 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1505 | 48302 |
Valid range from 1 to 21
FR_REG Country specific region: France
| Value 35832 | Frequency | |
|---|---|---|
| 1 | Ain | 10 |
| 2 | Aisne | 8 |
| 3 | Allier | 5 |
| 4 | Alpes-de-Haute-Provence | 4 |
| 5 | Hautes-Alpes | 2 |
| 6 | Alpes-Maritimes | 23 |
| 7 | Ardeche | 5 |
| 8 | Ardennes | 7 |
| 9 | Ariege | 5 |
| 10 | Aube | 6 |
| 11 | Aude | 9 |
| 12 | Aveyron | 7 |
| 13 | Bouche-du-Rhone | 40 |
| 14 | Calvados | 14 |
| 15 | Cantal | 5 |
| 16 | Charente | 4 |
| 17 | Charente-Maritime | 16 |
| 18 | Cher | 5 |
| 19 | Correze | 5 |
| 20 | Corse | 3 |
| 21 | Cote-d'Or | 11 |
| 22 | Cotes-d'Armor | 7 |
| 23 | Creuse | 1 |
| 24 | Dordogne | 9 |
| 25 | Doubs | 8 |
| 26 | Drome | 9 |
| 27 | Eure | 12 |
| 28 | Eure-et-Loire | 8 |
| 29 | Finistere | 17 |
| 30 | Gard | 14 |
| 31 | Haute-Garonne | 25 |
| 32 | Gers | 1 |
| 33 | Gironde | 29 |
| 34 | Herault | 23 |
| 35 | Ille-et-Vilaine | 26 |
| 36 | Indre | 5 |
| 37 | Indre-et-Loire | 11 |
| 38 | Isere | 26 |
| 39 | Jura | 5 |
| 40 | Landes | 3 |
| 41 | Loir-et-Cher | 5 |
| 42 | Loire | 15 |
| 43 | Haute-Loire | 6 |
| 44 | Loire-Atlantique | 27 |
| 45 | Loiret | 12 |
| 46 | Lot | 7 |
| 47 | Lot-et-Garonne | 8 |
| 48 | Lozere | 2 |
| 49 | Maine-et-Loire | 15 |
| 50 | Manche | 10 |
| 51 | Marne | 14 |
| 52 | Haute-Marne | 3 |
| 53 | Mayenne | 5 |
| 54 | Meurthe-et-Moselle | 14 |
| 55 | Meuse | 3 |
| 56 | Morbihan | 18 |
| 57 | Moselle | 19 |
| 58 | Nievre | 2 |
| 59 | Nord | 41 |
| 60 | Oise | 11 |
| 61 | Orne | 6 |
| 62 | Pas-de-Calais | 27 |
| 63 | Puy-de-Dome | 20 |
| 64 | Pyrenees-Atlantiques | 13 |
| 65 | Hautes-Pyrenees | 4 |
| 66 | Pyrenees-Orientales | 10 |
| 67 | Bas-Rhin | 21 |
| 68 | Haut-Rhin | 13 |
| 69 | Rhone | 34 |
| 70 | Haute-Saone | 8 |
| 71 | Saone-et-Loire | 11 |
| 72 | Sarthe | 10 |
| 73 | Savoie | 12 |
| 74 | Haute-Savoie | 13 |
| 75 | Ville de Paris | 46 |
| 76 | Seine-Maritime | 19 |
| 77 | Seine-et-Marne | 20 |
| 78 | Yvelines | 20 |
| 79 | Deux-Sevres | 9 |
| 80 | Somme | 10 |
| 81 | Tarn | 8 |
| 82 | Tarn-et-Garonne | 3 |
| 83 | Var | 18 |
| 84 | Vaucluse | 15 |
| 85 | Vendee | 20 |
| 86 | Vienne | 9 |
| 87 | Haute-Vienne | 6 |
| 88 | Vosges | 13 |
| 89 | Yonne | 7 |
| 90 | Belfort (Territoire) | 2 |
| 91 | Essone | 20 |
| 92 | Hauts-de-Seine | 26 |
| 93 | Seine-Saint-Denis | 24 |
| 94 | Val-de-Marne | 22 |
| 95 | Val-d'Oise | 17 |
| 0 | NAP, other countries | 48596 |
| 9999 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1206 | 48601 |
Valid range from 1 to 95
GB_REG Country specific region: Great Britain (GB-GBN)
| Value 35931 | Frequency | |
|---|---|---|
| 1 | Scotland | 152 |
| 2 | North, North West, Yorkshire Humbershire | 424 |
| 3 | West, East Midlands | 255 |
| 4 | Wales | 102 |
| 5 | East Anglia, South West, South-East | 490 |
| 6 | Greater London | 157 |
| 0 | NAP, other countries | 48227 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1580 | 48227 |
Valid range from 1 to 6
GE_REG Country specific region: Georgia
| Value 36030 | Frequency | |
|---|---|---|
| 1 | Tbilisi | 420 |
| 2 | Guria | 47 |
| 3 | Ajara | 124 |
| 4 | Shida qartli | 109 |
| 5 | Kakheti | 131 |
| 6 | Qvemo qartli | 164 |
| 7 | Samegrelo | 151 |
| 8 | Imereti | 263 |
| 9 | Samtskhe javakheti | 57 |
| 10 | Mtskheta-Mtianeti | 32 |
| 0 | NAP, other countries | 48309 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1498 | 48309 |
Valid range from 1 to 10
HR_REG Country specific region: Croatia
| Value 36129 | Frequency | |
|---|---|---|
| 1 | Zagreb | 259 |
| 2 | North Croatia | 172 |
| 3 | Slavonija | 165 |
| 4 | Lika and Banovina | 84 |
| 5 | Istra and Hrvatsko primorje | 123 |
| 6 | Dalmacija | 197 |
| 0 | NAP, other countries | 48807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1000 | 48807 |
Valid range from 1 to 6
HU_REG Country specific region: Hungary
| Value 36228 | Frequency | |
|---|---|---|
| 1 | Közép Magyarország | 120 |
| 2 | Közép Dunántúl | 110 |
| 3 | Nyugat Dunántúl | 100 |
| 4 | Dél Dunántúl | 97 |
| 5 | Észak Magyarország | 122 |
| 6 | Észak Alföld | 146 |
| 7 | Dél Alföld | 132 |
| 9 | Budapest | 180 |
| 0 | NAP, other countries | 48800 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1007 | 48800 | 1 | 9 |
Valid range from 1 to 9
IL_REG Country specific region: Israel
| Value 36327 | Frequency | |
|---|---|---|
| 1 | North | 228 |
| 2 | South | 166 |
| 3 | Tel-Aviv | 515 |
| 4 | Jerusalem | 121 |
| 5 | Arab sector | 174 |
| 0 | NAP, other countries | 48603 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1204 | 48603 |
Valid range from 1 to 5
IN_REG Country specific region: India
| Value 36426 | Frequency | |
|---|---|---|
| 1 | Arunachal Pradesh | 9 |
| 2 | Assam | 27 |
| 3 | Bihar | 84 |
| 4 | Chandigarh | 11 |
| 5 | Chattisgarh | 14 |
| 6 | Dadra & Nagar Hav | 14 |
| 7 | Daman & Diu | 14 |
| 8 | Delhi | 22 |
| 9 | Goa | 14 |
| 10 | Gujarat | 61 |
| 11 | Haryana | 22 |
| 12 | Himachal Pradesh | 8 |
| 13 | Jammu & Kashmir | 11 |
| 14 | Jharkhand | 31 |
| 15 | Karnataka | 65 |
| 16 | Kerala | 36 |
| 17 | Lakshadweep | 10 |
| 18 | Madhya Pradesh | 53 |
| 19 | Maharashtra | 116 |
| 20 | Manipur | 9 |
| 21 | Meghalaya | 6 |
| 22 | Mizoram | 7 |
| 23 | Nagaland | 14 |
| 24 | Orissa | 40 |
| 25 | Pondicherry | 11 |
| 26 | Punjab | 24 |
| 27 | Rajasthan | 54 |
| 28 | Seema Andhra | 33 |
| 29 | Sikkim | 10 |
| 30 | Tamilnadu | 73 |
| 31 | Telangana | 40 |
| 32 | Tripura | 12 |
| 33 | Uttar Pradesh | 197 |
| 34 | Uttarakhand | 18 |
| 35 | West Bengal | 39 |
| 0 | NAP, other countries | 48598 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1209 | 48598 | 1 | 35 |
Valid range from 1 to 35
IS_REG Country specific region: Iceland
| Value 36525 | Frequency | |
|---|---|---|
| 1 | ReykjavĂk | 515 |
| 2 | Capital region (outside ReykjavĂk) | 407 |
| 3 | Southern Peninsula | 77 |
| 4 | Western Region | 84 |
| 5 | Westfjords | 28 |
| 6 | Northwestern Region | 57 |
| 7 | Northeastern Region | 155 |
| 8 | Eastern Region | 54 |
| 9 | Southern Region | 120 |
| 0 | NAP, other countries | 48310 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1497 | 48310 |
Valid range from 1 to 9
JP_REG Country specific region: Japan
| Value 36624 | Frequency | |
|---|---|---|
| 1 | Hokkaido | 78 |
| 2 | Tohoku | 120 |
| 3 | Kanto | 514 |
| 4 | Koshin-etsu | 81 |
| 5 | Tokai, Hokuriku | 234 |
| 6 | Kinki | 241 |
| 7 | Chugoku | 100 |
| 8 | Shikoku | 46 |
| 9 | Kyushu | 179 |
| 0 | NAP, other countries | 48214 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1593 | 48214 |
Valid range from 1 to 9
KR_REG Country specific region: Korea (South)
| Value 36723 | Frequency | |
|---|---|---|
| 1 | Seoul metropolitan city | 228 |
| 2 | Gyeonggi province | 302 |
| 3 | Incheon metropolitan city | 75 |
| 4 | Gangwon province | 54 |
| 5 | Chungchong province | 111 |
| 6 | Daejon metropolitan city | 33 |
| 7 | Gyeongsang province | 162 |
| 8 | Busan metropolitan city | 103 |
| 9 | Ulsan metropolitan city | 27 |
| 10 | Daegu metropolitan city | 84 |
| 11 | Jeolla province | 125 |
| 12 | Gwangju metropolitan city | 46 |
| 13 | Jeju province | 20 |
| 0 | NAP, other countries | 48437 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1370 | 48437 |
Valid range from 1 to 13
LT_REG Country specific region: Lithuania
| Value 36822 | Frequency | |
|---|---|---|
| 1 | Alytus | 58 |
| 2 | Kaunas | 223 |
| 3 | Klaipeda | 126 |
| 4 | Marijampole | 57 |
| 5 | Panevezys | 91 |
| 6 | Siauliai | 109 |
| 7 | Taurage | 39 |
| 8 | Telsiai | 54 |
| 9 | Utena | 57 |
| 10 | Vilnius | 305 |
| 0 | NAP, other countries | 48688 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1119 | 48688 |
Valid range from 1 to 10
NL_REG Country specific region: Netherlands
| Value 36921 | Frequency | |
|---|---|---|
| 1 | Oost-Groningen | 17 |
| 2 | Delfzijl en omgeving | 6 |
| 3 | Overig Groningen | 36 |
| 4 | Noord-Friesland | 36 |
| 5 | Zuidwest-Friesland | 15 |
| 6 | Zuidoost-Friesland | 21 |
| 7 | Noord-Drenthe | 16 |
| 8 | Zuidoost-Drenthe | 5 |
| 9 | Zuidwest-Drenthe | 18 |
| 10 | Noord-Overijssel | 40 |
| 11 | Zuidwest-Overijssel | 22 |
| 12 | Twente | 58 |
| 13 | Veluwe | 54 |
| 14 | Achterhoek | 37 |
| 15 | Arnhem/Nijmegen | 88 |
| 16 | Zuidwest-Gelderland | 17 |
| 17 | Utrecht | 120 |
| 18 | Kop van Noord-Holland | 34 |
| 19 | Alkmaar en omgeving | 30 |
| 20 | IJmond | 22 |
| 21 | Agglomeratie Haarlem | 29 |
| 22 | Zaanstreek | 18 |
| 23 | Groot-Amsterdam | 135 |
| 24 | Het Gooi en Vechtstreek | 20 |
| 25 | Leiden en Bollenstreek | 44 |
| 26 | s-Gravenhage | 56 |
| 27 | Delft en Westland | 29 |
| 28 | Oost-Zuid-Holland | 21 |
| 29 | Groot-Rijnmond | 124 |
| 30 | Zuidoost-Zuid-Holland | 45 |
| 31 | Zeeuws-Vlaanderen | 7 |
| 32 | Overig Zeeland | 31 |
| 33 | West-Noord-Brabant | 60 |
| 34 | Midden-Noord-Brabant | 38 |
| 35 | Noordoost-Noord-Brabant | 61 |
| 36 | Zuidoost-Noord-Brabant | 65 |
| 37 | Noord-Limburg | 38 |
| 38 | Midden-Limburg | 24 |
| 39 | Zuid-Limburg | 53 |
| 40 | Flevoland | 38 |
| 0 | NAP, other countries | 48169 |
| 9999 | Not available | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1628 | 48179 | 1 | 40 |
Valid range from 1 to 40
NO_REG Country specific region: Norway
| Value 37020 | Frequency | |
|---|---|---|
| 1 | Central East | 366 |
| 2 | East | 383 |
| 3 | South | 62 |
| 4 | West | 385 |
| 5 | Middle | 126 |
| 6 | North | 137 |
| 0 | NAP, other countries | 48348 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1459 | 48348 |
Valid range from 1 to 6
PH_REG Country specific region: Philippines
| Value 37119 | Frequency | |
|---|---|---|
| 1 | Great Manila Area/ National Capital Region (NCR) | 300 |
| 2 | Balance Luzon | 300 |
| 3 | Visayas | 300 |
| 4 | Mindanao | 300 |
| 0 | NAP, other countries | 48607 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 48607 |
Valid range from 1 to 4
PL_REG Country specific region: Poland
| Value 37218 | Frequency | |
|---|---|---|
| 1 | Dolnoslaskie | 123 |
| 2 | Kujawsko-pomorskie | 109 |
| 3 | Lubelskie | 151 |
| 4 | Lubuskie | 79 |
| 5 | Lodzkie | 135 |
| 6 | Malopolskie | 162 |
| 7 | Mazowieckie | 271 |
| 8 | Opolskie | 81 |
| 9 | Podkarpackie | 119 |
| 10 | Podlaskie | 91 |
| 11 | Pomorskie | 105 |
| 12 | Slaskie | 202 |
| 13 | Swietokrzyskie | 129 |
| 14 | Warminsko-mazurskie | 110 |
| 15 | Wielkopolskie | 174 |
| 16 | Zachodniopomorskie | 71 |
| 0 | NAP, other countries | 47695 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2112 | 47695 |
Valid range from 1 to 16
RU_REG Country specific region: Russia
| Value 37317 | Frequency | |
|---|---|---|
| 1 | North | 46 |
| 2 | North-West | 110 |
| 3 | Central | 350 |
| 4 | Volga-Vyatka | 67 |
| 5 | Black Earth | 95 |
| 6 | Volga Region | 206 |
| 7 | North Caucasus | 197 |
| 8 | Urals | 218 |
| 9 | West Siberia | 201 |
| 10 | East Siberia | 40 |
| 11 | Far East | 70 |
| 0 | NAP, other countries | 48207 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1600 | 48207 | 1 | 11 |
Valid range from 1 to 11
SE_REG Country specific region: Sweden
| Value 37416 | Frequency | |
|---|---|---|
| 1 | Stockholm/Södertälje | 203 |
| 2 | Norrtälje | 4 |
| 3 | Enköping | 10 |
| 4 | Uppsala | 26 |
| 5 | Nyköping | 4 |
| 6 | Katrineholm | 2 |
| 7 | Eskilstuna | 10 |
| 8 | Mjölby/Motala | 9 |
| 9 | Linköping | 7 |
| 10 | Norrköping | 21 |
| 11 | Jönköping | 14 |
| 12 | TranĂĄs | 0 |
| 13 | Eksjö/Nässjö/Vetlanda | 7 |
| 14 | Värnamo | 6 |
| 15 | Ljungby | 6 |
| 16 | Växjö | 17 |
| 17 | Västervik | 5 |
| 18 | Hultsfred/Vimmerby | 3 |
| 19 | Oskarshamn | 5 |
| 20 | Kalmar/Nybro | 8 |
| 21 | Visby | 3 |
| 22 | Karlskrona | 10 |
| 23 | Karlshamn | 7 |
| 24 | Kristianstad | 13 |
| 25 | Hässleholm | 5 |
| 26 | Ă„ngelholm | 4 |
| 27 | Helsingborg/Landskrona | 23 |
| 28 | Malmö/Lund/Trelleborg | 57 |
| 29 | Ystad/Simrishamn | 7 |
| 30 | Eslöv | 3 |
| 31 | Halmstad | 11 |
| 32 | Falkenberg/Varberg | 12 |
| 33 | Göteborg/Alingsås | 89 |
| 34 | Uddevalla | 8 |
| 35 | Trollhättan/Vänersborg | 11 |
| 36 | BorĂĄs | 23 |
| 37 | Lidköping/Skara | 13 |
| 38 | Falköping | 3 |
| 39 | Skövde | 6 |
| 40 | Mariestad | 8 |
| 41 | Kristinehamn/Filipstad | 4 |
| 42 | Karlstad | 18 |
| 43 | Säffle/Åmål | 2 |
| 44 | Arvika | 5 |
| 45 | Ă–rebro | 34 |
| 46 | Karlskoga | 2 |
| 47 | Lindesberg | 4 |
| 48 | Västerås | 11 |
| 49 | Köping | 0 |
| 50 | Fagersta | 3 |
| 51 | Sala | 4 |
| 52 | Borlänge/Falun | 14 |
| 53 | Avesta/Hedemora | 5 |
| 54 | Ludvika | 1 |
| 55 | Mora | 2 |
| 56 | Gävle/Sandviken | 15 |
| 57 | Bollnäs/Söderhamn | 4 |
| 58 | Hudiksvall/Ljusdal | 4 |
| 59 | Sundsvall | 7 |
| 60 | Härnösand/Kramfors | 2 |
| 61 | SollefteĂĄ | 2 |
| 62 | Örnsköldsvik | 8 |
| 63 | Ă–stersund | 13 |
| 64 | UmeĂĄ | 14 |
| 65 | SkellefteĂĄ | 7 |
| 66 | Lycksele | 4 |
| 67 | PiteĂĄ | 9 |
| 68 | LuleĂĄ/Boden | 11 |
| 69 | Haparanda/Kalix | 1 |
| 70 | Kiruna/Gällivare | 6 |
| 0 | NAP, other countries | 48908 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 899 | 48908 | 1 | 70 |
Valid range from 1 to 70
SI_REG Country specific region: Slovenia
| Value 37515 | Frequency | |
|---|---|---|
| 1 | Pomurska | 81 |
| 2 | Podravska | 155 |
| 3 | Koroska | 47 |
| 4 | Savinjska | 116 |
| 5 | Gorenjska | 93 |
| 6 | Zasavska | 36 |
| 7 | Osrednja | 223 |
| 8 | Spodnjeposavska | 50 |
| 9 | Dolenjska | 80 |
| 10 | Goriska | 57 |
| 11 | Obalnokraska | 44 |
| 12 | Kraska | 28 |
| 0 | NAP, other countries | 48797 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1010 | 48797 |
Valid range from 1 to 12
SK_REG Country specific region: Slovak Republic
| Value 37614 | Frequency | |
|---|---|---|
| 1 | Bratislava county | 130 |
| 2 | Trnava county | 115 |
| 3 | Trencin county | 118 |
| 4 | Nitra county | 155 |
| 5 | Zilina county | 154 |
| 6 | Banska Bystrica county | 142 |
| 7 | Presov county | 180 |
| 8 | Kosice county | 162 |
| 0 | NAP, other countries | 48651 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1156 | 48651 | 1 | 8 |
Valid range from 1 to 8
TR_REG Country specific region: Turkey
| Value 37713 | Frequency | |
|---|---|---|
| 1 | Istanbul | 250 |
| 2 | Aegean | 153 |
| 3 | Mediterranean | 184 |
| 4 | South Eastern Anatolia | 184 |
| 5 | Western Anatolia | 102 |
| 6 | Eastern Marmara | 155 |
| 7 | Western Black Sea | 114 |
| 8 | Central Anatolia | 93 |
| 9 | Central Eastern Anatolia | 63 |
| 10 | Eastern Black Sea | 59 |
| 11 | Western Marmara | 78 |
| 12 | North Eastern Anatolia | 74 |
| 0 | NAP, other countries | 48298 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1509 | 48298 |
Valid range from 1 to 12
TW_REG Country specific region: Taiwan
| Value 37812 | Frequency | |
|---|---|---|
| 1 | Keelung city | 30 |
| 2 | Taipei city | 228 |
| 3 | New Taipei city | 283 |
| 4 | Taoyuan county | 188 |
| 5 | Hsinchu city | 32 |
| 6 | Hsinchu county | 3 |
| 7 | Miaoli county | 78 |
| 8 | Taichung city | 253 |
| 9 | Taichung county | 0 |
| 10 | Nantou county | 1 |
| 11 | Changhua county | 126 |
| 12 | Yunlin county | 64 |
| 13 | Chiayi city | 30 |
| 14 | Chiayi country | 61 |
| 15 | Tainan city | 103 |
| 16 | Tainan county | 0 |
| 17 | Kaohsiung city | 262 |
| 18 | Kaohsiung county | 0 |
| 19 | Pingtung county | 40 |
| 20 | Ilan county | 47 |
| 21 | Hualien county | 25 |
| 22 | Taitung county | 21 |
| 0 | NAP, other countries | 47932 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1875 | 47932 |
Valid range from 1 to 22
US_REG Country specific region: United States
| Value 37911 | Frequency | |
|---|---|---|
| 1 | New England | 69 |
| 2 | Middle Atlantic | 148 |
| 3 | East North Central | 205 |
| 4 | West North Central | 68 |
| 5 | South Atlantic | 256 |
| 6 | East South Central | 81 |
| 7 | West South Central | 130 |
| 8 | Mountain | 112 |
| 9 | Pacific | 195 |
| 0 | NAP, other countries | 48543 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1264 | 48543 |
Valid range from 1 to 9
VE_REG Country specific region: Venezuela
| Value 38010 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 49807 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 49807 |
ZA_REG Country specific region: South Africa
| Value 3819 | Frequency | |
|---|---|---|
| 1 | Western Cape | 405 |
| 2 | Eastern Cape | 396 |
| 3 | Northern Cape | 237 |
| 4 | Free State | 246 |
| 5 | Kwa-Zulu Natal | 559 |
| 6 | North West | 206 |
| 7 | Gauteng | 521 |
| 8 | Mpumalanga | 257 |
| 9 | Limpopo | 297 |
| 0 | NAP, other countries | 46683 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 3124 | 46683 |
Valid range from 1 to 9
CASEID ID Number of Respondent
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49807 | 0 | 2014000000000000.0 | 2014830000000000.0 | 2014050000000000.0 | 158801238117.32 |
Valid range from 2.01400036016422e+15 to 2.01482601035288e+15
DATEYR Date of interview: year of interview; YYYY (four digits)
| Value 3837 | Frequency | |
|---|---|---|
| 2013 | Year 2013 | 2508 |
| 2014 | Year 2014 | 29696 |
| 2015 | Year 2015 | 15345 |
| 2016 | Year 2016 | 2258 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49807 | 0 | 2013 | 2016 |
Valid range from 2013 to 2016
DATEMO Date of interview: month of interview: MM (two digits)
| Value 3846 | Frequency | |
|---|---|---|
| 1 | January | 1805 |
| 2 | February | 3387 |
| 3 | March | 8915 |
| 4 | April | 5500 |
| 5 | May | 3618 |
| 6 | June | 3950 |
| 7 | July | 2528 |
| 8 | August | 4633 |
| 9 | September | 4205 |
| 10 | October | 3650 |
| 11 | November | 4507 |
| 12 | December | 1870 |
| 0 | Not available (AT) | 1033 |
| 99 | No answer, information missing | 206 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48568 | 1239 |
Valid range from 1 to 12
DATEDY Date of interview: day of interview: DD (two digits)
| Value 3855 | Frequency | |
|---|---|---|
| 1 | 01. | 1005 |
| 31 | 31. | 478 |
| 0 | Not available (AT) | 1033 |
| 99 | No answer, information missing | 200 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48574 | 1233 | 1 | 31 |
Valid range from 1 to 31
SUBSCASE Case substitution flag
| Value 3864 | Frequency | |
|---|---|---|
| 0 | NAP, no substitution in this survey | 42561 |
| 1 | Case from original sample | 6431 |
| 2 | Case substituted | 815 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49807 | 0 |
Valid range from 0 to 2
WEIGHT Weight
| Value 3873 | Frequency | |
|---|---|---|
| 1 | No weighting | 14663 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49807 | 0 | 0.00918 | 26.316 |
Valid range from 0.00918448317129423 to 26.3159538913751
MODE Administrative mode of data-collection
| Value 3882 | Frequency | |
|---|---|---|
| 10 | Face-to-face, PAPI, no visuals | 2853 |
| 11 | Face-to-face, PAPI, visuals | 10002 |
| 12 | Face-to-face, PAPI, respondent reading questionnaire | 1432 |
| 13 | Face-to-face, PAPI, interpreter or translator, no visuals | 0 |
| 14 | Face-to-face, PAPI, interpreter or translator, visuals | 5833 |
| 20 | CAPI, computer assisted personal interview, no visuals | 2973 |
| 21 | CAPI, computer assisted personal interview, visuals | 5124 |
| 22 | CAPI, respondent reading questionnaire (paper or on monitor) | 1010 |
| 23 | CAPI, interpreter or translator, no visuals | 4 |
| 24 | CAPI, interpreter or translator, visuals | 0 |
| 30 | Self completion, arrives with interviewer, interviewer atten | 984 |
| 31 | Self completion, arrives with interviewer, drops-off, picks | 4154 |
| 32 | Self completion, arrives with interviewer, drops-off, mailed | 147 |
| 33 | Self completion, mailed to, completed by R and hold for pick | 0 |
| 34 | Self completion, mailed to, mailed back by Respondent | 9001 |
| 40 | CASI, computer-assisted self-completion interview | 1469 |
| 41 | Self-completion, web questionnaire | 3408 |
| 50 | CAWI, computer assisted web interview | 1254 |
| 52 | CAPI, phone | 157 |
| 60 | CATI, computer assisted telephone interview | 0 |
| 99 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49805 | 2 | 10 | 52 |
Valid range from 10 to 60
GROUP Methods of data-collection in mixed mode experiment
| Value 3891 | Frequency | |
|---|---|---|
| 1 | Web only | 1254 |
| 2 | Paper only | 2315 |
| 3 | Web and paper | 2650 |
| 4 | Face-to-face only | 1755 |
| 0 | Not available, country did not participate in 'Mixed Mode Ex | 41833 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 7974 | 41833 |
Valid range from 1 to 4
Materials of the Study
- ISSP raziskovalna skupina (2013). ISSP 2014 Module 2014 Citizenship II [Vprašalnik].
- ISSP raziskovalna skupina (2014). ISSP 2014 - Citizenship II, Background variables for all participating countries [Ostalo gradivo].
Study Results Materials
- ISSP raziskovalna skupina (2018). International Social Survey Programme - Home Page.
Related Publications
There is no information about publications related to this study!
Access to data and documentation - Nesstar
TERMS OF USE:
The Slovenian Social Science Data Archives does not distribute data of this study. For more information please contact the author or the responsible organization.
DOCUMENTATION STATUS
2 - Polni opis raziskave.
CLASS OF THE STUDY
9 - najvišji rang, primerjalne ali kontinuirane raziskave, pomembne populacije, metodološko ustrezne
How to CITE this study?
ISSP raziskovalna skupina. (2016). Mednarodna splošna družboslovna anketa (ISSP), 2014: Razumevanje vloge državljana II [Podatkovna datoteka]. Cologne: GESIS Datenarchiv. ZA6670, Različica 2.0.0. http://dx.doi.org/10.4232/1.12590 ADP - IDNo: ISSP14.
More information can be found on the publisher's page.
SIMILAR STUDIES
ISSP - Mednarodna splošna družboslovna anketa: Opis serije
ISSP00 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija II
ISSP01 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki II
ISSP - Mednarodna splošna družboslovna anketa: Opis serije
ISSP00 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija II
ISSP01 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki II
ISSP02 - Mednarodna splošna družboslovna anketa (ISSP), 2002: Družina III
ISSP03 - Mednarodna splošna družboslovna anketa (ISSP), 2003: Nacionalna identiteta II
ISSP04 - Mednarodna splošna družboslovna anketa (ISSP), 2004: Razumevanje vloge državljana
ISSP05 - Mednarodna splošna družboslovna anketa (ISSP), 2005: Stališča o delu III
ISSP06 - Mednarodna splošna družboslovna anketa (ISSP), 2006: Vloga države IV
ISSP07 - Mednarodna splošna družboslovna anketa (ISSP), 2007: Prosti čas in šport I
ISSP08 - Mednarodna splošna družboslovna anketa (ISSP), 2008: Religija III
ISSP09 - Mednarodna splošna družboslovna anketa (ISSP), 2009: Družbena neenakost IV
ISSP10 - Mednarodna splošna družboslovna anketa (ISSP), 2010: Okolje III
ISSP11 - Mednarodna splošna družboslovna anketa (ISSP), 2011: Zdravje
ISSP13 - Mednarodna splošna družboslovna anketa (ISSP), 2013: Nacionalna identiteta III
ISSP15 - Mednarodna splošna družboslovna anketa (ISSP), 2015: Stališča o delu IV
ISSP16 - Mednarodna splošna družboslovna anketa (ISSP), 2016: Vloga države V
ISSP85 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države I
ISSP86 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki
ISSP87 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost I
ISSP88 - Mednarodna splošna družboslovna anketa (ISSP): Družina I
ISSP89 - Mednarodna splošna družboslovna anketa (ISSP): Stališča o delu I
ISSP90 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države II
ISSP91 - Mednarodna splošna družboslovna anketa (ISSP): Mednarodna raziskava o vernosti in cerkvi I
ISSP92 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost II
ISSP93 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija
ISSP94 - Mednarodna splošna družboslovna anketa (ISSP): Družina II
ISSP95 - Mednarodna splošna družboslovna anketa (ISSP): Mednarodna raziskava narodne identitete
ISSP96 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države III
ISSP97 - Mednarodna splošna družboslovna anketa (ISSP): Stališča o delu II
ISSP98 - Mednarodna splošna družboslovna anketa (ISSP): Raziskava o vernosti in cerkvi II
ISSP99 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost III
SJM002 - Slovensko javno mnenje 2000/2: Raziskava o okolju in raziskava o medčloveških stikih (ISSP)
SJM034 - Slovensko javno mnenje 2003/4: Razumevanje vloge državljana / Mednarodna raziskava ISSP
SJM051 - Slovensko javno mnenje 2005/1: Mednarodna raziskava Stališča o delu
SJM932 - Slovensko javno mnenje 1993/2: Mednarodna raziskava o okolju in družini
SJM944 - Slovensko javno mnenje 1994/4: Mednarodna raziskava narodne identitete
SJM973 - Slovensko javno mnenje 1997/3: Mednarodna raziskava Stališča o delu in ekološka sondaža
SJM981 - Slovensko javno mnenje 1998/1: Mednarodna raziskava o neenakosti in religiji
SJMUST89 - Slovensko javno mnenje, 1989: Stališča o ustavnih dopolnilih
RECENTLY ADDED STUDIES
Analysis of Distance Learning during the First Wave of Covid-19 Epidemic in Slovenia, 2020
ADP ACTIVITIES
Delavnica NRRP in objava podatkov v ADP
Odprta znanost in Obzorje Evropa: zahteve, priporočila in dileme
CONFERENCES AND EVENTS
