Mednarodna splošna družboslovna anketa (ISSP), 2010: Okolje III
Basic Study Information
ADP - IDNo: ISSP10
Main author(s):
Data file producer:
GESIS - GESIS Datenarchiv, GESIS Leibniz-Institute for the Social Sciences (Cologne; 2012)
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: zaupanje ljudem, zaupanje v vlado, okolje, okoljska problematika, mnenje o zaščiti okolja, odnos do okolja, ločevanje odpadkov, članstvo v okoljevarstvenih organizacijah, osebna vključenost v zaščito okolja, poznavanje okoljstvenih problemov, uničevanje okolja, varstvo okolja, ocena različnih vidikov kakovosti oskrbe z električno energijo, stališče o mednarodnih sporazumih o varstvu okolja, klasifikacija nevarnih učinkov onesnaževanja zraka
Keywords ELSST:
OKOLJE, OKOLJEVARSTVENO GIBANJE, VARSTVO OKOLJA, ONESNAŽEVANJE, ZAUPANJE
Topic Classification CESSDA
DRUŽBA IN KULTURA - Skupnost, mestno in podeželsko življenje
NARAVNO OKOLJE - Okolje in varstvo okolja
Topic Classification CERIF
Sociologija
Topic Classification ADP
EKOLOGIJA
EKOLOŠKO OBNAŠANJE RESPONDENTOV
EKOLOŠKA ANGAŽIRANOST
POZNAVANJE EKOLOGIJE
OCENA EKOLOŠKE OGROŽENOSTI DOMAČEGA OKOLJA
Abstract:
Ta izvedba raziskav ISSP se osredotoča na stališča do varstva okolja in vladnih ukrepov za varstvo okolja. Respondente sprašuje o odgovornosti vlade do zmanjšanja dohodkovnih razlik med državljani ter zaupanju do ljudi, politikov in vlade. V nadaljevanju respondenti odgovarjajo na vprašanja o odnosu do varstva okolja ter ocenjujejo lastno znanje o vzrokih in možnih rešitvah okoljskih problemov. Respondenti ocenjujejo nevarnosti različnih virov onesnaženja, prizadevanja njihove države za zaščito okolja, podajo stališča o mednarodnih dogovorih za zaščito okolja, želenih energetskih virov v prihodnosti, vplivu ukrepov za varstvo okolja na gospodarstvo ter se opredelijo o lastnih prizadevanjih za varovanje okolja. Demografski sklop vključuje vprašanja o starosti respondenta, spolu, izobrazbi, zaposlitvi, zakonskem statusu, članstvu v sindikatu, verskem prepričanju, politični samoopredelitvi levo-desno, o udeležbi na zadnjih volitvah, velikosti gospodinjstva in regiji bivanja.
Methodology
| Collection date: | Zbiranje podatkov na terenu je potekalo: Argentina: 10. julij 2010 - 20. oktober 2010, Avstrija: 21. julij 2010 - 5. september 2010, Belgija (Flandrija): 17. marec 2010 - 28. julij 2010, Bolgarija: 16. avgust 2011 - 20. september 2011, Češka: 20. november 2010 - 16. december 2010, Čile: 1. junij 2010 - 30. junij 2010, Danska: 21. oktober 2010 - 5. april 2011, Filipini: 24. september 2010 - 27. september 2010, Finska: 22. oktober 2010 - 10. januar 2011, Francija: 1. september 2010 - 31. december 2010, Hrvaška: 20. maj 2011 - 20. junij 2011, Izrael: 29. marec 2011 - 15. avgust 2011, Japonska: 27. november 2010 - 5. december 2010, Južna Afrika: 1. november 2010 - 10. december 2010, Južna Koreja: 28. junij 2010 - 31. avgust 2010, Kanada: 15. januar 2011 - 15. april 2011, Latvija: 28. julij 2011 - 15. avgust 2011, Litva: 30. november 2010 - 3. februar 2011, Mehika: 17. avgust 2011 - 18. september 2011, Nemčija: 31. maj 2010 - 30. oktober 2010, Norveška: 9. marec 2011 - 11. maj 2011, Nova Zelandija: 19. avgust 2010 - 30. november 2010, Ruska federacija: 1. december 2010 - 21. december 2010, Slovaška: 21. september 2009 - 22. oktober 2009, Slovenija: 9. marec 2011 - 15. junij 2011, Španija: 4. maj 2010 - 10. julij 2010, Švedska: 16. februar 2010 - 5. maj 2010, Švica: 7. marec 2011 - 26. september 2011, Tajvan: 11. julij 2010 - 23. september 2010, Turčija: 1. oktober 2010 - 30. november 2010, Velika Britanija: 11. junij 2010 - 13. november 2010, Združene države Amerike: 18. marec 2010 - 14. avgust 2010 |
|---|---|
| Date of production: | 2012 |
| Country: | Argentina, Avstrija, Belgija (Flandrija), Bolgarija, Češka, Čile, Danska, Filipini, Finska, Francija, Hrvaška, Izrael, Japonska, Južna Afrika, Južna Koreja, Kanada, Latvija, Litva, Mehika, Nemčija, Norveška, Nova Zelandija, Ruska federacija, Slovaška, Slovenija, Španija, Švedska, Švica, Tajvan, Turčija, Velika Britanija, 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 74 let, Japonska: 16 let in več, Norveška: osebe, rojene med leti 1932 in 1993: od 18 do 79 let, ter Švedska: od 17 do 79 let. Za dodatna pojasnila glej doi:10.4232/1.11418. |
| Excluded: | no information |
| Data collected by: |
Argentina: Cualitativo y Cuantitativo Avstrija: Institute for Empirical Social Research (IFES), Vienna Belgija (Flandrija): TNS Dimarso, Brussels Bolgarija: ESI Center, Sofia Češka: Factum Invenio, Prague Čile: ICCOM, Santiago Danska: Rambøll Danska A/S, Copenhagen Filipini: Social Weather Stations, Inc. (SWS) Finska: Statistics Finska, Social Survey Unit, Helsinki Francija: France-ISSP (Centre de Recherche en Economie et Statistique, Laboratoire de Sociologie Quantitative), Malakoff Hrvaška: Hendal market research, Zagreb Izrael: B.I. and Lucille Cohen Institute, Tel Aviv Japonska: Central Research Services, Inc., Tokyo Južna Afrika: Human Sciences Research Council (HSRC), Pretoria Južna Koreja: Survey Research Center at Sungkyunkwan University, Seoul Kanada: Carleton University Survey Centre, Ottawa Latvija: Marketing and Public Opinion Research Centre SKDS, Riga Litva: RAIT, Vilnius Mehika: Instituto de Mercadotecnia y Opinión (IMO), Zapopan, Jalisco Nemčija: TNS Infratest, Munich Norveška: TNS Gallup (kontakt in administracija papirnatih vprašalnikov) and Norwegian Social Science Data Services (NSD) (administracija spletnih vprašalnikov), Oslo Nova Zelandija: School of Communication, Journalism and Marketing, Massey University, Palmerston North Ruska federacija: Levada-Center, Moscow Slovaška: FOCUS, Bratislava Slovenija: Center za raziskovanje javnega mnenja in množičnih komunikacij (CJMMK), Univerza v Ljubljani Španija: Center of Sociological Research (CIS), Madrid Švedska: TNS SIFO, Stockholm Švica: M.I.S. Trend SA, Institut de recherches sociales et économiques, Lausanne Tajvan: Center for Survey Research, RCHSS, Academia Sinica, Nankang, Taipei Turčija: Infakto Research Workshop, Istanbul Velika Britanija: National Centre for Social Research (NatCen), London Združene države Amerike: National Opinion Research Center (NORC), University of Chicago |
| Sampling procedure: |
Verjetnostno: večstopenjsko Vzorčenje se razlikuje glede na posamezne države. Za dodatna pojasnila glej doi:10.4232/1.11418. |
| Mode of data collection: |
Osebni intervju: CAPI/CAMI Osebni intervju: PAPI Vprašalnik za samoizpolnjevanje: računalniško podprti (CASI) Vprašalnik za samoizpolnjevanje: spletni Telefonski intervju Odvisno od posamezne države. Za dodatna pojasnila glej doi:10.4232/1.11418. |
| Weighting: |
Da. Za dodatna pojasnila glej doi:10.4232/1.11418. |
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:10.4232/1.11418.
Contact: GESIS Datenarchiv
Več o pravilnem navajanju podatkov na doi:10.4232/1.11418.
Več o uporabnikovi odgovornosti obveščanja arhiva o uporabi podatkov in objavi del na doi:10.4232/1.11418.
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: ZA5500: International Social Survey Programme: Environment III - ISSP 2010 [Podatkovna datoteka]
File ID: F1
Format: *.sav - SPSS 16 in kasnejše verzije za WIN
- number of variables: 331
- number of units: 45199
Version: 2.0.0, doi:10.4232/1.11418
Variable list
V1 GESIS Data Archive Study Number
| Value 13 | Frequency | |
|---|---|---|
| 5500 | GESIS Data Archive Study Number ZA5500 | 45199 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45199 | 0 | 5500 | 5500 |
Valid range from 5500 to 5500
V2 GESIS Archive Version
| Value 22 | Frequency | |
|---|---|---|
| 2.0.0 (2012-08-27) | 45199 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45199 | 0 |
V3 Country/Sample ISO 3166 Code (see V4 for codes for whole nation states)
| Value 31 | Frequency | |
|---|---|---|
| 32 | AR-Argentina | 1130 |
| 36 | AU-Australia | 0 |
| 40 | AT-Austria | 1019 |
| 56.1 | BE-FLA-Flanders | 1142 |
| 100 | BG-Bulgaria | 1003 |
| 124 | CA-Canada | 985 |
| 152 | CL-Chile | 1436 |
| 158 | TW-Taiwan | 2209 |
| 191 | HR-Croatia | 1210 |
| 203 | CZ-Czech Republic | 1428 |
| 208 | DK-Denmark | 1305 |
| 246 | FI-Finland | 1211 |
| 250 | FR-France | 2253 |
| 276.1 | DE-W-Germany-West | 989 |
| 276.2 | DE-E-Germany-East | 418 |
| 376.1 | IL-J-Israel-Jews | 1023 |
| 376.2 | IL-A-Israel-Arabs | 193 |
| 392 | JP-Japan | 1307 |
| 410 | KR-Korea (South) | 1576 |
| 428 | LV-Latvia | 1000 |
| 440 | LT-Lithuania | 1023 |
| 484 | MX-Mexico | 1637 |
| 554 | NZ-New Zealand | 1172 |
| 578 | NO-Norway | 1382 |
| 608 | PH-Philippines | 1200 |
| 643 | RU-Russia | 1619 |
| 703 | SK-Slovak Republic | 1159 |
| 705 | SI-Slovenia | 1082 |
| 710 | ZA-South Africa | 3112 |
| 724 | ES-Spain | 2560 |
| 752 | SE-Sweden | 1181 |
| 756 | CH-Switzerland | 1212 |
| 792 | TR-Turkey | 1665 |
| 826.1 | GB-Great Britain | 928 |
| 840 | US-United States | 1430 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45199 | 0 |
Valid range from 32 to 840
V1 GESIS Data Archive Study Number
| Value 1331 | Frequency | |
|---|---|---|
| 5500 | GESIS Data Archive Study Number ZA5500 | 45199 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45199 | 0 | 5500 | 5500 |
Valid range from 5500 to 5500
V2 GESIS Archive Version
| Value 2330 | Frequency | |
|---|---|---|
| 2.0.0 (2012-08-27) | 45199 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45199 | 0 |
V3 Country/Sample ISO 3166 Code (see V4 for codes for whole nation states)
| Value 3329 | Frequency | |
|---|---|---|
| 32 | AR-Argentina | 1130 |
| 36 | AU-Australia | 0 |
| 40 | AT-Austria | 1019 |
| 56.1 | BE-FLA-Flanders | 1142 |
| 100 | BG-Bulgaria | 1003 |
| 124 | CA-Canada | 985 |
| 152 | CL-Chile | 1436 |
| 158 | TW-Taiwan | 2209 |
| 191 | HR-Croatia | 1210 |
| 203 | CZ-Czech Republic | 1428 |
| 208 | DK-Denmark | 1305 |
| 246 | FI-Finland | 1211 |
| 250 | FR-France | 2253 |
| 276.1 | DE-W-Germany-West | 989 |
| 276.2 | DE-E-Germany-East | 418 |
| 376.1 | IL-J-Israel-Jews | 1023 |
| 376.2 | IL-A-Israel-Arabs | 193 |
| 392 | JP-Japan | 1307 |
| 410 | KR-Korea (South) | 1576 |
| 428 | LV-Latvia | 1000 |
| 440 | LT-Lithuania | 1023 |
| 484 | MX-Mexico | 1637 |
| 554 | NZ-New Zealand | 1172 |
| 578 | NO-Norway | 1382 |
| 608 | PH-Philippines | 1200 |
| 643 | RU-Russia | 1619 |
| 703 | SK-Slovak Republic | 1159 |
| 705 | SI-Slovenia | 1082 |
| 710 | ZA-South Africa | 3112 |
| 724 | ES-Spain | 2560 |
| 752 | SE-Sweden | 1181 |
| 756 | CH-Switzerland | 1212 |
| 792 | TR-Turkey | 1665 |
| 826.1 | GB-Great Britain | 928 |
| 840 | US-United States | 1430 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45199 | 0 |
Valid range from 32 to 840
V4 Country ISO 3166 Code (see V3 for codes for the sample)
| Value 4328 | Frequency | |
|---|---|---|
| 32 | AR-Argentina | 1130 |
| 36 | AU-Australia | 0 |
| 40 | AT-Austria | 1019 |
| 56 | BE-Belgium | 1142 |
| 100 | BG-Bulgaria | 1003 |
| 124 | CA-Canada | 985 |
| 152 | CL-Chile | 1436 |
| 158 | TW-Taiwan | 2209 |
| 191 | HR-Croatia | 1210 |
| 203 | CZ-Czech Republic | 1428 |
| 208 | DK-Denmark | 1305 |
| 246 | FI-Finland | 1211 |
| 250 | FR-France | 2253 |
| 276 | DE-Germany | 1407 |
| 376 | IL-Israel | 1216 |
| 392 | JP-Japan | 1307 |
| 410 | KR-Korea (South) | 1576 |
| 428 | LV-Latvia | 1000 |
| 440 | LT-Lithuania | 1023 |
| 484 | MX-Mexico | 1637 |
| 554 | NZ-New Zealand | 1172 |
| 578 | NO-Norway | 1382 |
| 608 | PH-Philippines | 1200 |
| 643 | RU-Russia | 1619 |
| 703 | SK-Slovak Republic | 1159 |
| 705 | SI-Slovenia | 1082 |
| 710 | ZA-South Africa | 3112 |
| 724 | ES-Spain | 2560 |
| 752 | SE-Sweden | 1181 |
| 756 | CH-Switzerland | 1212 |
| 792 | TR-Turkey | 1665 |
| 826 | GB-Great Britain and/or United Kingdom | 928 |
| 840 | US-United States | 1430 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45199 | 0 | 32 | 840 |
Valid range from 32 to 840
C_ALPHAN Country/Sample Prefix ISO 3166 Code - alphanumeric
| Value 5327 | Frequency | |
|---|---|---|
| AR | 1130 | |
| AT | 1019 | |
| BE-FLA | 1142 | |
| BG | 1003 | |
| CA | 985 | |
| CH | 1212 | |
| CL | 1436 | |
| CZ | 1428 | |
| DE-E | 418 | |
| DE-W | 989 | |
| DK | 1305 | |
| ES | 2560 | |
| FI | 1211 | |
| FR | 2253 | |
| GB-GBN | 928 | |
| HR | 1210 | |
| IL-A | 193 | |
| IL-J | 1023 | |
| JP | 1307 | |
| KR | 1576 | |
| LT | 1023 | |
| LV | 1000 | |
| MX | 1637 | |
| NO | 1382 | |
| NZ | 1172 | |
| PH | 1200 | |
| RU | 1619 | |
| SE | 1181 | |
| SI | 1082 | |
| SK | 1159 | |
| TR | 1665 | |
| TW | 2209 | |
| US | 1430 | |
| ZA | 3112 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45199 | 0 |
V5 Q1a Most important issues for [R's COUNTRY] today?
| Value 6326 | Frequency | |
|---|---|---|
| 1 | Health care | 10020 |
| 2 | Education | 7311 |
| 3 | Crime | 4974 |
| 4 | The environment | 2380 |
| 5 | Immigration | 1675 |
| 6 | The economy | 11016 |
| 7 | Terrorism | 1318 |
| 8 | Poverty | 5110 |
| 9 | None of these, KR: politics | 329 |
| 10 | KR: Getting a job | 0 |
| 11 | KR: Existence of the nation-state | 0 |
| 12 | KR: Thoughts | 1 |
| 13 | KR: National defense | 2 |
| 14 | KR: Religion | 1 |
| 15 | KR: Anticommunist spirit | 0 |
| 95 | KR: Others | 1 |
| 98 | Can't choose, KR: DK, refused | 753 |
| 99 | NA | 308 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44138 | 1061 | 1 | 95 |
Valid range from 1 to 95
V6 Q1b Next most important issue?
| Value 7325 | Frequency | |
|---|---|---|
| 1 | Health care | 8850 |
| 2 | Education | 8372 |
| 3 | Crime | 5470 |
| 4 | The environment | 3969 |
| 5 | Immigration | 2224 |
| 6 | The economy | 7214 |
| 7 | Terrorism | 1445 |
| 8 | Poverty | 5777 |
| 9 | None of these, CH:NAP, none of these, KR: politics | 426 |
| 10 | KR: Getting a job | 1 |
| 11 | KR: Existence of the nation-state | 1 |
| 12 | KR: Thoughts | 0 |
| 13 | KR: National defense | 0 |
| 14 | KR: Religion | 0 |
| 15 | KR: Anticommunist spirit | 1 |
| 95 | KR: Others | 0 |
| 98 | Can't choose, KR: DK, refused | 931 |
| 99 | NA | 518 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43750 | 1449 | 1 | 15 |
Valid range from 1 to 95
V7 Q2a Solve economic problems: private enterprise
| Value 8324 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 4464 |
| 2 | Agree | 14012 |
| 3 | Neither agree nor disagree | 11372 |
| 4 | Disagree | 8572 |
| 5 | Disagree strongly | 2955 |
| 8 | Can't choose | 3270 |
| 9 | NA | 554 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41375 | 3824 | 1 | 5 |
Valid range from 1 to 5
V8 Q2b Responsibility of government: reduce income differences
| Value 9323 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 11877 |
| 2 | Agree | 17473 |
| 3 | Neither agree nor disagree | 6692 |
| 4 | Disagree | 5457 |
| 5 | Disagree strongly | 1905 |
| 8 | Can't choose | 1310 |
| 9 | NA | 485 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43404 | 1795 | 1 | 5 |
Valid range from 1 to 5
V9 Q3a Highest priority in [R's COUNTRY]?
| Value 10322 | Frequency | |
|---|---|---|
| 1 | Maintain order in the nation | 15737 |
| 2 | Give people more say in government decisions | 11332 |
| 3 | Fight rising prices | 12336 |
| 4 | Protect freedom of speech | 4111 |
| 8 | Can't choose, KR: DK, refused | 1453 |
| 9 | NA | 230 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43516 | 1683 | 1 | 4 |
Valid range from 1 to 4
V10 Q3b Next highest priority in [R's COUNTRY]?
| Value 11321 | Frequency | |
|---|---|---|
| 1 | Maintain order in the nation | 11372 |
| 2 | Give people more say in government decisions | 10539 |
| 3 | Fight rising prices | 12723 |
| 4 | Protect freedom of speech | 7420 |
| 8 | Can't choose, KR: DK, refused | 2540 |
| 9 | NA, CH: NAP, no next highest priority | 605 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42054 | 3145 | 1 | 4 |
Valid range from 1 to 4
V11 Q4a Amount of trust in most people
| Value 12320 | Frequency | |
|---|---|---|
| 1 | 1 You can't be too careful | 10964 |
| 2 | 2 | 9177 |
| 3 | 3 | 12507 |
| 4 | 4 | 7847 |
| 5 | 5 Most people can be trusted | 4073 |
| 8 | Can't choose | 413 |
| 9 | NA | 218 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44568 | 631 | 1 | 5 |
Valid range from 1 to 5
V12 Q4b Try to take advantage or be fair
| Value 13319 | Frequency | |
|---|---|---|
| 1 | 1 Most people would try to take advantage | 6381 |
| 2 | 2 | 7968 |
| 3 | 3 | 13920 |
| 4 | 4 | 10375 |
| 5 | 5 Most people would try to be fair | 5433 |
| 8 | Can't choose, US: Can't choose, don't know | 853 |
| 9 | NA | 269 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44077 | 1122 | 1 | 5 |
Valid range from 1 to 5
V13 Q5a Trust in people in government
| Value 14318 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 1539 |
| 2 | Agree | 10305 |
| 3 | Neither agree nor disagree | 10685 |
| 4 | Disagree | 14344 |
| 5 | Disagree strongly | 7061 |
| 8 | Can't choose | 886 |
| 9 | NA | 379 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43934 | 1265 | 1 | 5 |
Valid range from 1 to 5
V14 Q5b Most politicians are in politics only to get out of it personally
| Value 15317 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 11536 |
| 2 | Agree | 16359 |
| 3 | Neither agree nor disagree | 8516 |
| 4 | Disagree | 6039 |
| 5 | Disagree strongly | 1228 |
| 8 | Can't choose | 1118 |
| 9 | NA | 403 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43678 | 1521 | 1 | 5 |
Valid range from 1 to 5
V15 Q6 How concerned in environmental issues?
| Value 16316 | Frequency | |
|---|---|---|
| 1 | 1 Not at all concerned | 2193 |
| 2 | 2 | 4709 |
| 3 | 3 | 12444 |
| 4 | 4 | 13653 |
| 5 | 5 Very concerned | 11388 |
| 8 | Can't choose | 557 |
| 9 | NA | 255 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44387 | 812 | 1 | 5 |
Valid range from 1 to 5
V16 Q7a Most important problem for [Country] as a whole?
| Value 17315 | Frequency | |
|---|---|---|
| 1 | Air pollution | 9363 |
| 2 | Chemicals and pesticides | 4413 |
| 3 | Water shortage | 3756 |
| 4 | Water pollution | 5334 |
| 5 | Nuclear waste | 2864 |
| 6 | Domestic waste disposal | 3565 |
| 7 | Climate change | 6357 |
| 8 | Genetically modified foods | 2177 |
| 9 | Using up our natural resources | 4676 |
| 10 | None of these | 629 |
| 11 | KR: Disorderly way of regional development | 1 |
| 98 | Can't choose, KR: DK, refused | 1733 |
| 99 | NA | 331 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43135 | 2064 | 1 | 11 |
Valid range from 1 to 11
V17 Q7b Most important problem which affects you and your family?
| Value 18314 | Frequency | |
|---|---|---|
| 1 | Air pollution | 8121 |
| 2 | Chemicals and pesticides | 4563 |
| 3 | Water shortage | 3201 |
| 4 | Water pollution | 5034 |
| 5 | Nuclear waste | 1445 |
| 6 | Domestic waste disposal | 4924 |
| 7 | Climate change | 4918 |
| 8 | Genetically modified foods | 3712 |
| 9 | Using up our natural resources | 2942 |
| 10 | None of these, KR: Noises | 3132 |
| 98 | Can't choose, KR: DK, refused | 2828 |
| 99 | NA | 379 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41992 | 3207 | 1 | 10 |
Valid range from 1 to 10
V18 Q8a Causes of sorts of environmental problems
| Value 19313 | Frequency | |
|---|---|---|
| 1 | 1 Know nothing at all | 3944 |
| 2 | 2 | 8212 |
| 3 | 3 | 17529 |
| 4 | 4 | 10474 |
| 5 | 5 Know a great deal | 3859 |
| 8 | Can't choose | 940 |
| 9 | NA | 241 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44018 | 1181 | 1 | 5 |
Valid range from 1 to 5
V19 Q8b Solutions to sorts of environmental problems
| Value 20312 | Frequency | |
|---|---|---|
| 1 | 1 Know nothing at all | 5734 |
| 2 | 2 | 10755 |
| 3 | 3 | 16363 |
| 4 | 4 | 7040 |
| 5 | 5 Know a great deal | 2143 |
| 0 | Not available: TR | 1665 |
| 8 | Can't choose | 1182 |
| 9 | NA | 317 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42035 | 3164 | 1 | 5 |
Valid range from 1 to 5
V20 Q9a Science: believe too often in
| Value 21311 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 3652 |
| 2 | Agree | 14177 |
| 3 | Neither agree nor disagree | 11634 |
| 4 | Disagree | 9877 |
| 5 | Disagree strongly | 3330 |
| 8 | Can't choose | 2100 |
| 9 | NA | 429 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42670 | 2529 | 1 | 5 |
Valid range from 1 to 5
V21 Q9b Science: more harm than good
| Value 22310 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 2285 |
| 2 | Agree | 8682 |
| 3 | Neither agree nor disagree | 11154 |
| 4 | Disagree | 15055 |
| 5 | Disagree strongly | 5408 |
| 8 | Can't choose | 2099 |
| 9 | NA | 516 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42584 | 2615 | 1 | 5 |
Valid range from 1 to 5
V22 Q9c Science: solve environmental problems
| Value 23309 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 1956 |
| 2 | Agree | 10255 |
| 3 | Neither agree nor disagree | 12035 |
| 4 | Disagree | 12990 |
| 5 | Disagree strongly | 4391 |
| 8 | Can't choose | 3120 |
| 9 | NA | 452 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41627 | 3572 | 1 | 5 |
Valid range from 1 to 5
V23 Q10a Worry about future environment
| Value 24308 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 4398 |
| 2 | Agree | 12592 |
| 3 | Neither agree nor disagree | 9347 |
| 4 | Disagree | 13371 |
| 5 | Disagree strongly | 3881 |
| 8 | Can't choose | 1269 |
| 9 | NA | 341 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43589 | 1610 | 1 | 5 |
Valid range from 1 to 5
V24 Q10b Modern life harms the environment
| Value 25307 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 4473 |
| 2 | Agree | 18478 |
| 3 | Neither agree nor disagree | 9936 |
| 4 | Disagree | 9208 |
| 5 | Disagree strongly | 1460 |
| 8 | Can't choose | 1282 |
| 9 | NA | 362 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43555 | 1644 | 1 | 5 |
Valid range from 1 to 5
V25 Q10c Worry: progress harming environment
| Value 26306 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 2766 |
| 2 | Agree | 12425 |
| 3 | Neither agree nor disagree | 10850 |
| 4 | Disagree | 13440 |
| 5 | Disagree strongly | 3328 |
| 8 | Can't choose | 1936 |
| 9 | NA | 454 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42809 | 2390 | 1 | 5 |
Valid range from 1 to 5
V26 Q11a Environment: protect by economic growth
| Value 27305 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 6180 |
| 2 | Agree | 17869 |
| 3 | Neither agree nor disagree | 8544 |
| 4 | Disagree | 7977 |
| 5 | Disagree strongly | 1597 |
| 8 | Can't choose | 2668 |
| 9 | NA | 364 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42167 | 3032 | 1 | 5 |
Valid range from 1 to 5
V27 Q11b Economic growth: harms the environment
| Value 28304 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 2659 |
| 2 | Agree | 11256 |
| 3 | Neither agree nor disagree | 11422 |
| 4 | Disagree | 14402 |
| 5 | Disagree strongly | 2641 |
| 8 | Can't choose | 2374 |
| 9 | NA | 445 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42380 | 2819 | 1 | 5 |
Valid range from 1 to 5
V28 Q11c Earth cannot continue to support population growth at its present rate
| Value 29303 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 7076 |
| 2 | Agree | 16156 |
| 3 | Neither agree nor disagree | 9439 |
| 4 | Disagree | 7066 |
| 5 | Disagree strongly | 1495 |
| 8 | Can't choose | 3552 |
| 9 | NA | 415 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41232 | 3967 | 1 | 5 |
Valid range from 1 to 5
V29 Q12a Protect environment: pay much higher prices
| Value 30302 | Frequency | |
|---|---|---|
| 1 | Very willing | 2028 |
| 2 | Fairly willing | 12094 |
| 3 | Neither willing nor unwilling | 10178 |
| 4 | Fairly unwilling | 10419 |
| 5 | Very unwilling | 8916 |
| 8 | Can't choose | 1287 |
| 9 | NA | 277 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43635 | 1564 | 1 | 5 |
Valid range from 1 to 5
V30 Q12b Protect environment: pay much higher taxes
| Value 31301 | Frequency | |
|---|---|---|
| 1 | Very willing | 1490 |
| 2 | Fairly willing | 8806 |
| 3 | Neither willing nor unwilling | 9046 |
| 4 | Fairly unwilling | 11972 |
| 5 | Very unwilling | 12280 |
| 8 | Can't choose | 1285 |
| 9 | NA | 320 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43594 | 1605 | 1 | 5 |
Valid range from 1 to 5
V31 Q12c Protect environment: cut your standard of living
| Value 32300 | Frequency | |
|---|---|---|
| 1 | Very willing | 2240 |
| 2 | Fairly willing | 11753 |
| 3 | Neither willing nor unwilling | 9982 |
| 4 | Fairly unwilling | 10342 |
| 5 | Very unwilling | 9209 |
| 8 | Can't choose | 1372 |
| 9 | NA | 301 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43526 | 1673 | 1 | 5 |
Valid range from 1 to 5
V32 Q13a To do about environment: too difficult
| Value 33299 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 3897 |
| 2 | Agree | 11972 |
| 3 | Neither agree nor disagree | 7347 |
| 4 | Disagree | 16254 |
| 5 | Disagree strongly | 4716 |
| 8 | Can't choose | 676 |
| 9 | NA | 337 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44186 | 1013 | 1 | 5 |
Valid range from 1 to 5
V33 Q13b Do what is right costs money takes time
| Value 34298 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 3234 |
| 2 | Agree | 18307 |
| 3 | Neither agree nor disagree | 12472 |
| 4 | Disagree | 7943 |
| 5 | Disagree strongly | 1713 |
| 8 | Can't choose | 1127 |
| 9 | NA | 403 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43669 | 1530 | 1 | 5 |
Valid range from 1 to 5
V34 Q13c More important things than protect environment
| Value 35297 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 3225 |
| 2 | Agree | 11689 |
| 3 | Neither agree nor disagree | 12131 |
| 4 | Disagree | 12814 |
| 5 | Disagree strongly | 3848 |
| 8 | Can't choose | 1026 |
| 9 | NA | 466 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43707 | 1492 | 1 | 5 |
Valid range from 1 to 5
V35 Q13d No point unless others do the same
| Value 36296 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 4838 |
| 2 | Agree | 12417 |
| 3 | Neither agree nor disagree | 6893 |
| 4 | Disagree | 14637 |
| 5 | Disagree strongly | 5130 |
| 8 | Can't choose | 878 |
| 9 | NA | 406 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43915 | 1284 | 1 | 5 |
Valid range from 1 to 5
V36 Q13e Many about environment exaggerated
| Value 37295 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 2643 |
| 2 | Agree | 11399 |
| 3 | Neither agree nor disagree | 9851 |
| 4 | Disagree | 13986 |
| 5 | Disagree strongly | 4541 |
| 8 | Can't choose | 2315 |
| 9 | NA | 464 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42420 | 2779 | 1 | 5 |
Valid range from 1 to 5
V37 Q13f Hard to know whether the way I live is helpful or harmful to the environment
| Value 38294 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 2363 |
| 2 | Agree | 12244 |
| 3 | Neither agree nor disagree | 10630 |
| 4 | Disagree | 14134 |
| 5 | Disagree strongly | 3513 |
| 8 | Can't choose | 1833 |
| 9 | NA | 482 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42884 | 2315 | 1 | 5 |
Valid range from 1 to 5
V38 Q13g Environmental problems have a direct effect on my everyday life.
| Value 39293 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 4237 |
| 2 | Agree | 15918 |
| 3 | Neither agree nor disagree | 11078 |
| 4 | Disagree | 9172 |
| 5 | Disagree strongly | 2451 |
| 8 | Can't choose | 1859 |
| 9 | NA | 484 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42856 | 2343 | 1 | 5 |
Valid range from 1 to 5
V39 Q14a Air pollution caused by cars is for environment
| Value 40292 | Frequency | |
|---|---|---|
| 1 | Extremely dangerous for the environment | 8218 |
| 2 | Very dangerous | 16335 |
| 3 | Somewhat dangerous | 16163 |
| 4 | Not very dangerous | 3163 |
| 5 | Not dangerous at all for the environment | 314 |
| 8 | Can't choose | 681 |
| 9 | NA | 325 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44193 | 1006 | 1 | 5 |
Valid range from 1 to 5
V40 Q14b Air pollution caused by industry is for environment
| Value 41291 | Frequency | |
|---|---|---|
| 1 | Extremely dangerous for the environment | 13635 |
| 2 | Very dangerous | 19546 |
| 3 | Somewhat dangerous | 9621 |
| 4 | Not very dangerous | 1263 |
| 5 | Not dangerous at all for the environment | 202 |
| 8 | Can't choose | 673 |
| 9 | NA | 259 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44267 | 932 | 1 | 5 |
Valid range from 1 to 5
V41 Q14c Pesticides and chemicals used in farming are for environment
| Value 42290 | Frequency | |
|---|---|---|
| 1 | Extremely dangerous for the environment | 11944 |
| 2 | Very dangerous | 17480 |
| 3 | Somewhat dangerous | 11405 |
| 4 | Not very dangerous | 2581 |
| 5 | Not dangerous at all for the environment | 434 |
| 8 | Can't choose | 1041 |
| 9 | NA | 314 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43844 | 1355 | 1 | 5 |
Valid range from 1 to 5
V42 Q14d Pollution river, lake - how dangerous for environment
| Value 43289 | Frequency | |
|---|---|---|
| 1 | Extremely dangerous for the environment | 12657 |
| 2 | Very dangerous | 17738 |
| 3 | Somewhat dangerous | 10681 |
| 4 | Not very dangerous | 2547 |
| 5 | Not dangerous at all for the environment | 442 |
| 8 | Can't choose | 850 |
| 9 | NA | 284 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44065 | 1134 | 1 | 5 |
Valid range from 1 to 5
V43 Q14e A rise in world's temperature caused by climate change
| Value 44288 | Frequency | |
|---|---|---|
| 1 | Extremely dangerous for the environment | 11823 |
| 2 | Very dangerous | 15523 |
| 3 | Somewhat dangerous | 11231 |
| 4 | Not very dangerous | 3492 |
| 5 | Not dangerous at all for the environment | 731 |
| 8 | Can't choose | 2041 |
| 9 | NA | 358 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42800 | 2399 | 1 | 5 |
Valid range from 1 to 5
V44 Q14f Modifying the genes of certain crops is
| Value 45287 | Frequency | |
|---|---|---|
| 1 | Extremely dangerous for the environment | 8588 |
| 2 | Very dangerous | 12931 |
| 3 | Somewhat dangerous | 11784 |
| 4 | Not very dangerous | 5811 |
| 5 | Not dangerous at all for the environment | 1341 |
| 8 | Can't choose | 4274 |
| 9 | NA | 470 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40455 | 4744 | 1 | 5 |
Valid range from 1 to 5
V45 Q14g Nuclear power stations are
| Value 46286 | Frequency | |
|---|---|---|
| 1 | Extremely dangerous for the environment | 14164 |
| 2 | Very dangerous | 12282 |
| 3 | Somewhat dangerous | 9738 |
| 4 | Not very dangerous | 5209 |
| 5 | Not dangerous at all for the environment | 1276 |
| 8 | Can't choose | 2227 |
| 9 | NA | 303 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42669 | 2530 | 1 | 5 |
Valid range from 1 to 5
V46 Q15a Government or ordinary people: decide themselves how to protect environment
| Value 47285 | Frequency | |
|---|---|---|
| 1 | Government should let ordinary people decide for themselves | 9577 |
| 2 | Government should pass laws to make ordinary people protect | 29744 |
| 8 | Can't choose | 5508 |
| 9 | NA | 370 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 39321 | 5878 | 1 | 2 |
Valid range from 1 to 2
V47 Q15b Government or business: decide themselves how to protect environment
| Value 48284 | Frequency | |
|---|---|---|
| 1 | Government should let businesses decide for themselves how t | 4825 |
| 2 | Government should pass laws to make businesses protect envir | 36473 |
| 8 | Can't choose | 3550 |
| 9 | NA | 351 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41298 | 3901 | 1 | 2 |
Valid range from 1 to 2
V48 Q16 To protect environment - this country is doing
| Value 49283 | Frequency | |
|---|---|---|
| 1 | More than enough | 3097 |
| 2 | About the right amount | 16129 |
| 3 | Or too little | 21576 |
| 8 | Can't choose | 3988 |
| 9 | NA | 409 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40802 | 4397 | 1 | 3 |
Valid range from 1 to 3
V49 Q17a Best way: getting business and industry to protect environment
| Value 50282 | Frequency | |
|---|---|---|
| 1 | Heavy fines for businesses that damage the environment | 16754 |
| 2 | Use the tax system to reward businesses that protect the env | 14290 |
| 3 | More information and education for businesses about the adva | 11742 |
| 8 | Can't choose | 2139 |
| 9 | NA | 274 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42786 | 2413 | 1 | 3 |
Valid range from 1 to 3
V50 Q17b Best way: getting people and their families to protect environment
| Value 51281 | Frequency | |
|---|---|---|
| 1 | Heavy fines for people who damage the environment | 10850 |
| 2 | Use the tax system to reward people who protect the environm | 12463 |
| 3 | More information and education for people about the advantag | 19632 |
| 8 | Can't choose | 1946 |
| 9 | NA | 308 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42945 | 2254 | 1 | 3 |
Valid range from 1 to 3
V51 Q18 Priority in order to meet its future energy needs?
| Value 52280 | Frequency | |
|---|---|---|
| 1 | Coal, oil and natural gas | 4340 |
| 2 | Nuclear power | 4521 |
| 3 | Solar, wind or water power | 27954 |
| 4 | Fuels made from crops | 3188 |
| 5 | None of them | 704 |
| 6 | US: Fuels made waste | 162 |
| 8 | Can't choose | 3911 |
| 9 | NA | 419 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40869 | 4330 | 1 | 6 |
Valid range from 1 to 6
V52 Q19a International agreements for environmental problems should be made
| Value 53279 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 15840 |
| 2 | Agree | 21605 |
| 3 | Neither agree nor disagree | 4076 |
| 4 | Disagree | 1299 |
| 5 | Disagree strongly | 335 |
| 8 | Can't choose | 1648 |
| 9 | NA | 396 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43155 | 2044 | 1 | 5 |
Valid range from 1 to 5
V53 Q19b Poorer countries should be expected to make less effort
| Value 54278 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 4057 |
| 2 | Agree | 12641 |
| 3 | Neither agree nor disagree | 8199 |
| 4 | Disagree | 13175 |
| 5 | Disagree strongly | 4610 |
| 8 | Can't choose | 1886 |
| 9 | NA | 631 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42682 | 2517 | 1 | 5 |
Valid range from 1 to 5
V54 Q19c Economic progress in [COUNTRY] will slow down
| Value 55277 | Frequency | |
|---|---|---|
| 1 | Agree strongly | 4903 |
| 2 | Agree | 15642 |
| 3 | Neither agree nor disagree | 11366 |
| 4 | Disagree | 6944 |
| 5 | Disagree strongly | 1510 |
| 8 | Can't choose | 4131 |
| 9 | NA | 703 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40365 | 4834 | 1 | 5 |
Valid range from 1 to 5
V55 Q20a Effort: Sort glass for recycling
| Value 56276 | Frequency | |
|---|---|---|
| 1 | Always | 19551 |
| 2 | Often | 9315 |
| 3 | Sometimes | 7258 |
| 4 | Never | 5662 |
| 8 | Recycling not available where I live | 3144 |
| 9 | No answer, CH,KR: NA, can't choose, LT: can't choose | 269 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41786 | 3413 | 1 | 4 |
Valid range from 1 to 4
V56 Q20b Effort: to buy fruit and vegetables without pesticides or chemicals
| Value 57275 | Frequency | |
|---|---|---|
| 1 | Always | 4785 |
| 2 | Often | 10535 |
| 3 | Sometimes | 14425 |
| 4 | Never | 11610 |
| 8 | Not available where I live | 3210 |
| 9 | No answer, CH,KR: NA, can't choose, LT: can't choose | 634 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41355 | 3844 | 1 | 4 |
Valid range from 1 to 4
V57 Q20c Cut back on driving a car for environmental reasons
| Value 58274 | Frequency | |
|---|---|---|
| 1 | Always | 1860 |
| 2 | Often | 6066 |
| 3 | Sometimes | 12414 |
| 4 | Never | 13235 |
| 8 | I do not have or cannot drive a car | 11057 |
| 9 | No answer, CH,KR: NA, can't choose, LT: can't choose | 567 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 33575 | 11624 | 1 | 4 |
Valid range from 1 to 4
V58 Q20d Reduce the energy or fuel at home for environmental reasons
| Value 59273 | Frequency | |
|---|---|---|
| 1 | Always | 5924 |
| 2 | Often | 13036 |
| 3 | Sometimes | 14876 |
| 4 | Never | 10540 |
| 8 | LT: can't choose | 45 |
| 9 | NA, CH,KR: NA, can't choose | 778 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44376 | 823 | 1 | 4 |
Valid range from 1 to 4
V59 Q20e Save or re-use water for environmental reasons
| Value 60272 | Frequency | |
|---|---|---|
| 1 | Always | 6190 |
| 2 | Often | 11788 |
| 3 | Sometimes | 14106 |
| 4 | Never | 12454 |
| 8 | LT: can't choose | 35 |
| 9 | NA, CH,KR: NA, can't choose | 626 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44538 | 661 | 1 | 4 |
Valid range from 1 to 4
V60 Q20f Avoid buying certain products for environmental reasons
| Value 61271 | Frequency | |
|---|---|---|
| 1 | Always | 3806 |
| 2 | Often | 10849 |
| 3 | Sometimes | 17101 |
| 4 | Never | 12333 |
| 8 | LT: can't choose | 122 |
| 9 | NA,CH,KR: NA, can't choose | 988 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44089 | 1110 | 1 | 4 |
Valid range from 1 to 4
V61 Q21 Member of a group to preserve environment
| Value 62270 | Frequency | |
|---|---|---|
| 1 | Yes | 2295 |
| 2 | No | 42481 |
| 8 | DK | 61 |
| 9 | NA, CH: NA, can't choose | 362 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44776 | 423 | 1 | 2 |
Valid range from 1 to 2
V62 Q22a Last five years: signed a petition <KR: active support>
| Value 63269 | Frequency | |
|---|---|---|
| 1 | Yes, I have | 6318 |
| 2 | No, I have not | 38171 |
| 8 | DK | 188 |
| 9 | NA | 522 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44489 | 710 | 1 | 2 |
Valid range from 1 to 2
V63 Q22b Last five years: given money to a environmental group <KR:active support>
| Value 64268 | Frequency | |
|---|---|---|
| 1 | Yes, I have | 5066 |
| 2 | No, I have not | 39319 |
| 8 | DK | 127 |
| 9 | NA | 687 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44385 | 814 | 1 | 2 |
Valid range from 1 to 2
V64 Q22c Last five years: taken part in protest demonstration <KR:active support>
| Value 65267 | Frequency | |
|---|---|---|
| 1 | Yes, I have | 1796 |
| 2 | No, I have not | 42615 |
| 8 | DK | 57 |
| 9 | NA | 731 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44411 | 788 | 1 | 2 |
Valid range from 1 to 2
V65 Optional Q1a Climate change is caused by a hole in atmosphere
| Value 66266 | Frequency | |
|---|---|---|
| 1 | Definitely true | 4412 |
| 2 | Probably true | 10668 |
| 3 | Probably not true | 3979 |
| 4 | Definitely not true | 2220 |
| 0 | Not available | 19926 |
| 8 | Can't choose, DK: don't know | 3652 |
| 9 | NA | 342 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 21279 | 23920 | 1 | 4 |
Valid range from 1 to 4
V66 Optional Q1b Climate change by use of coal or oil or gas
| Value 67265 | Frequency | |
|---|---|---|
| 1 | Definitely true | 7083 |
| 2 | Probably true | 12275 |
| 3 | Probably not true | 2700 |
| 4 | Definitely not true | 759 |
| 0 | Not available | 19924 |
| 8 | Can't choose, DK: don't know | 2243 |
| 9 | NA | 215 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 22817 | 22382 | 1 | 4 |
Valid range from 1 to 4
SEX Sex of Respondent
| Value 68264 | Frequency | |
|---|---|---|
| 1 | Male | 20688 |
| 2 | Female | 24434 |
| 9 | No answer | 77 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45122 | 77 | 1 | 2 |
Valid range from 1 to 2
BIRTH Year of birth
| Value 69263 | Frequency | |
|---|---|---|
| 1910 | 1910 | 0 |
| 9998 | Don't know | 1 |
| 9999 | No answer | 246 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44952 | 247 | 1911 | 1997 |
Valid range from 1910 to 1997
AGE Age of respondent
| Value 70262 | Frequency | |
|---|---|---|
| 15 | 15 years | 18 |
| 18 | 18 years | 638 |
| 89 | US: 89 and older | 56 |
| 99 | 99 years | 2 |
| 998 | Don't know | 1 |
| 999 | No answer | 246 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44952 | 247 | 15 | 99 |
Valid range from 15 to 99
EDUCYRS Education I: years of schooling
| Value 71261 | Frequency | |
|---|---|---|
| 0 | No formal schooling, no years at school | 817 |
| 1 | 1 year | 80 |
| 2 | 2 years | 176 |
| 3 | 3 years, NZ: few years primary | 328 |
| 8 | 8 years, NZ: primary | 2424 |
| 11 | 11 years, NZ: secondary school less than 3 years | 3909 |
| 13 | 13 years, NZ: secondary school more han 4 years | 3324 |
| 16 | 16 years, NZ: university less than 3 years | 3264 |
| 18 | 18 years, NZ: university more than 4 years | 1614 |
| 95 | Still at school | 722 |
| 96 | Still at college, university, in vocational training | 1285 |
| 97 | Refused | 206 |
| 98 | Don't know | 328 |
| 99 | No answer | 987 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43678 | 1521 | 0 | 96 |
Valid range from 0 to 96
AR_DEGR Country specific highest completed degree of education: Argentina
| Value 72260 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 13 |
| 2 | Primary incompleted | 109 |
| 3 | Primary completed | 261 |
| 4 | Secondary incompleted | 247 |
| 5 | Secondary completed | 231 |
| 6 | Non-university higher incomplete | 39 |
| 7 | Non-university higher completed | 72 |
| 8 | University incompleted | 93 |
| 9 | University completed | 58 |
| 10 | Postgraduate completed | 7 |
| 0 | NAP, other countries | 44069 |
| 99 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1130 | 44069 | 1 | 10 |
Valid range from 1 to 10
AT_DEGR Country specific highest completed degree of education: Austria
| Value 73259 | Frequency | |
|---|---|---|
| 1 | Incomplete compulsory education | 13 |
| 2 | Primary completed, Hauptschule | 170 |
| 3 | Apprenticeship completed | 370 |
| 4 | Middle school, vocational | 120 |
| 5 | Second completed, Matura | 89 |
| 6 | Higher professional school, BHS | 113 |
| 7 | University completed | 144 |
| 0 | NAP, other countries | 44180 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1019 | 44180 | 1 | 7 |
Valid range from 1 to 7
BE_DEGR Country specific highest completed degree of education: Belgium/ Flanders (BE-FLA)
| Value 74258 | Frequency | |
|---|---|---|
| 1 | None | 25 |
| 2 | Primary education | 124 |
| 3 | Lower general secondary | 78 |
| 4 | Lower technical secondary | 75 |
| 5 | Lower vocational secondary | 69 |
| 6 | Higher general secondary | 146 |
| 7 | Higher technical secondary | 125 |
| 8 | Higher vocational secondary | 85 |
| 9 | 7th year after higher secondary | 42 |
| 10 | Professional, bachelor non-university, bachelor university | 229 |
| 11 | Master, non-university, university | 144 |
| 0 | NAP, other countries | 44057 |
| 99 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1142 | 44057 | 1 | 11 |
Valid range from 1 to 11
BG_DEGR Country specific highest completed degree of education: Bulgaria
| Value 75257 | Frequency | |
|---|---|---|
| 1 | None | 14 |
| 2 | Primary and basic education | 58 |
| 3 | Lower secondary | 193 |
| 4 | Upper secondary | 236 |
| 5 | Secondary technical | 264 |
| 6 | College, 2 to 4 years | 43 |
| 7 | Higher education/ university | 173 |
| 8 | Higher than university | 22 |
| 0 | NAP, other countries | 44196 |
| 99 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 44196 | 1 | 8 |
Valid range from 1 to 8
CA_DEGR Country specific highest completed degree of education: Canada
| Value 76256 | Frequency | |
|---|---|---|
| 1 | No formal education | 22 |
| 2 | Some grade school | 85 |
| 3 | Finished grade school | 156 |
| 4 | Some high school | 239 |
| 5 | Finished high school | 163 |
| 6 | College/ CEGEP/ some university | 171 |
| 7 | Completed university | 135 |
| 8 | Graduate studies | 0 |
| 0 | NAP, other countries | 44214 |
| 99 | No answer | 14 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 971 | 44228 |
Valid range from 1 to 8
CH_DEGR Country specific highest completed degree of education: Switzerland
| Value 77255 | Frequency | |
|---|---|---|
| 1 | Incompleted primary school | 7 |
| 2 | Primary school, compulsory education | 80 |
| 3 | Secondary education (first stage) | 96 |
| 4 | Additional year of secondary education, preparation for voca | 16 |
| 5 | Elementary, basic vocational training (enterprise and school | 39 |
| 6 | Apprenticeship (vocational training dual system, 3-4 years) | 50 |
| 7 | General training school (2-3 years) | 5 |
| 8 | Vocational baccalaureate | 26 |
| 9 | Diploma for teaching in primary or preprimary school | 13 |
| 10 | Baccalaureate preparing for university | 1 |
| 11 | Secondary vocational training (or apprenticeship at second s | 39 |
| 12 | Vocational Baccalaureate for adults | 456 |
| 13 | Baccalaureate for adults or apprenticeship after Baccalaurea | 33 |
| 14 | Advanced vocational qualification-specialization exam, feder | 42 |
| 15 | Higher vocational training - diploma of a high school - tech | 50 |
| 16 | Higher vocational training - diploma of specific high school | 43 |
| 17 | Applied science and pedagogical university - Bachelor | 36 |
| 18 | Applied science and pedagogical university - Master | 34 |
| 19 | University diploma - intermediary level | 8 |
| 20 | University diploma (including technical) - Bachelor and shor | 21 |
| 21 | University diploma (including technical) - requiring more th | 29 |
| 22 | University diploma (including technical) - Master | 53 |
| 23 | Doctoral degree | 29 |
| 0 | NAP, other countries | 43987 |
| 99 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1206 | 43993 | 1 | 23 |
Valid range from 1 to 23
CL_DEGR Country specific highest completed degree of education: Chile
| Value 78254 | Frequency | |
|---|---|---|
| 1 | None, no formal education | 273 |
| 2 | Incomplete primary | 192 |
| 3 | Primary completed | 193 |
| 4 | Incomplete secondary | 393 |
| 5 | Secondary completed | 53 |
| 6 | Incomplete University | 107 |
| 7 | University completed | 72 |
| 8 | Incomplete non-university higher education | 86 |
| 9 | Completed non-university higher education | 17 |
| 0 | NAP, other countries | 43799 |
| 99 | NA | 14 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1386 | 43813 |
Valid range from 1 to 9
CZ_DEGR Country specific highest completed degree of education: Czech Republic
| Value 79253 | Frequency | |
|---|---|---|
| 1 | Incomplete Primary | 2 |
| 2 | Primary completed | 138 |
| 3 | Lower vocational, no diploma | 496 |
| 4 | General secondary, no diploma | 108 |
| 5 | Vocational with diploma | 135 |
| 6 | Technical secondary | 322 |
| 7 | Academic secondary | 69 |
| 8 | Post secondary | 24 |
| 9 | Tertiary, bachelor degree | 26 |
| 10 | Tertiary, master degree | 101 |
| 11 | Post-graduate education | 2 |
| 0 | NAP, other countries | 43771 |
| 99 | NA | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1423 | 43776 | 1 | 11 |
Valid range from 1 to 11
DE_DEGR Country specific highest completed degree of education: Germany
| Value 80252 | Frequency | |
|---|---|---|
| 1 | Still at school | 10 |
| 2 | School left without certificate | 18 |
| 3 | Lower secondary, Hauptschule | 487 |
| 4 | Middle school, mittlere Reife | 458 |
| 5 | Secondary, technical | 37 |
| 6 | Higher secondary, Abitur | 116 |
| 7 | Special university, Fachhochschule | 77 |
| 8 | University | 199 |
| 9 | Other qualification | 3 |
| 0 | NAP, other countries | 43792 |
| 99 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1405 | 43794 |
Valid range from 1 to 9
DK_DEGR Country specific highest completed degree of education: Denmark
| Value 81251 | Frequency | |
|---|---|---|
| 1 | 7 years primary school or shorter | 40 |
| 2 | 8 years primary school | 12 |
| 3 | 9 years primary school | 30 |
| 4 | Secondary, 10 years or similar | 29 |
| 5 | Gymnasium, general | 38 |
| 6 | Gymnasium, technical | 12 |
| 7 | Other school education | 3 |
| 8 | Basic vocational and apprenticeship | 164 |
| 9 | Other completed vocational education | 91 |
| 10 | Short advanced education, less than 3 years | 152 |
| 11 | Middlerange advanced, 3-4 years | 359 |
| 12 | Further advanced, more than 4 years | 198 |
| 13 | Other vocational education | 103 |
| 96 | No formal qualification | 74 |
| 0 | NAP, other countries | 43894 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1305 | 43894 |
Valid range from 1 to 96
ES_DEGR Country specific highest completed degree of education: Spain
| Value 82250 | Frequency | |
|---|---|---|
| 1 | No formal schooling, did not go to school | 137 |
| 2 | Less than 5 years of formal schooling | 108 |
| 3 | Primary School completed | 536 |
| 4 | Low Secondary School, Junior High | 528 |
| 5 | Vocational Training, medium level Professional Training | 184 |
| 6 | High Secondary School completed | 313 |
| 7 | Vocational Training, high level Professional Training | 232 |
| 8 | Technical Architecture, technical Engineering, 3 years Techn | 34 |
| 9 | 3 years completed non-technical University | 195 |
| 10 | Architecture and Engineering, Technical Schools | 28 |
| 11 | College Degree, 4 years | 227 |
| 12 | Official Graduate Studies, PhD, Master | 30 |
| 0 | NAP, other countries | 42639 |
| 99 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2552 | 42647 |
Valid range from 1 to 12
FI_DEGR Country specific highest completed degree of education: Finland
| Value 83249 | Frequency | |
|---|---|---|
| 1 | Still at school, primary or secondary, vocational | 75 |
| 2 | Primary education | 90 |
| 3 | Comprehensive, primary and lower secondary | 65 |
| 4 | Post-comprehensive, vocational school or course | 282 |
| 5 | General upper secondary education or certificate | 97 |
| 6 | Vocational post-secondary non-tertiary education | 270 |
| 7 | Polytechnics | 106 |
| 8 | University, lower academic degree, BA | 64 |
| 9 | University, higher academic degree, MA | 158 |
| 0 | NAP, other countries | 43988 |
| 99 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1207 | 43992 |
Valid range from 1 to 9
FR_DEGR Country specific highest completed degree of education: France
| Value 84248 | Frequency | |
|---|---|---|
| 1 | None | 36 |
| 2 | Primary incomplete | 72 |
| 3 | Primary completed | 257 |
| 4 | General secondary level 1 | 150 |
| 5 | Vocational secondary level 1 | 411 |
| 6 | Vocational secondary level 2 | 127 |
| 7 | Incomplete general secondary level 2 | 116 |
| 8 | General secondary level 2 | 208 |
| 9 | College | 285 |
| 10 | University | 563 |
| 0 | NAP, other countries | 42946 |
| 99 | No answer | 28 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2225 | 42974 |
Valid range from 1 to 10
GB_DEGR Country specific highest completed degree of education: Great Britain (GB-GBN)
| Value 85247 | Frequency | |
|---|---|---|
| 1 | No secondary qualifications | 207 |
| 2 | CSE, GCSE or equivalent | 46 |
| 3 | O-level or equivalent | 157 |
| 4 | A-level or equivalent | 123 |
| 5 | Higher below degree level | 102 |
| 6 | Degree, University or CNAA or Diploma | 202 |
| 7 | Foreign or other | 5 |
| 0 | NAP, other countries | 44271 |
| 99 | No answer | 86 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 842 | 44357 | 1 | 7 |
Valid range from 1 to 7
HR_DEGR Country specific highest completed degree of education: Croatia
| Value 86246 | Frequency | |
|---|---|---|
| 1 | Primary school not completed | 28 |
| 2 | Primary school completed | 137 |
| 3 | Three years vocational school completed | 231 |
| 4 | Four years vocational school completed | 476 |
| 5 | General secondary school (gymnasium) completed | 76 |
| 6 | Completed higher school, post secondary degree, college | 106 |
| 7 | University degree completed, university studies | 141 |
| 0 | NAP, other countries | 43989 |
| 99 | No answer | 15 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1195 | 44004 | 1 | 7 |
Valid range from 1 to 7
IL_DEGR Country specific highest completed degree of education: Israel
| Value 87245 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 16 |
| 2 | Lowest formal qualification | 102 |
| 3 | Incomplete vocational qualification | 60 |
| 4 | Vocational completed without matriculation | 80 |
| 5 | Vocational completed with matriculation | 50 |
| 6 | Incomplete academic secondary | 43 |
| 7 | Full general without matriculation | 99 |
| 8 | Academic secondary completed | 155 |
| 9 | Yeshiva without matriculation | 5 |
| 10 | Yeshiva with matriculation | 13 |
| 11 | Semi higher, post secondary | 180 |
| 12 | Incomplete university | 77 |
| 13 | University completed, BA or more | 326 |
| 0 | NAP, other countries | 43983 |
| 99 | No answer | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1206 | 43993 |
Valid range from 1 to 13
JP_DEGR Country specific highest completed degree of education: Japan
| Value 88244 | Frequency | |
|---|---|---|
| 1 | Junior High school completed | 202 |
| 2 | High school completed | 540 |
| 3 | Junior college completed | 229 |
| 4 | Finished university or graduate | 248 |
| 5 | Still at High school | 36 |
| 6 | Still at Junior college or university | 27 |
| 7 | Still at Graduate school | 7 |
| 0 | NAP, other countries | 43892 |
| 99 | No answer | 18 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1289 | 43910 |
Valid range from 1 to 7
KR_DEGR Country specific highest completed degree of education: Korea (South)
| Value 89243 | Frequency | |
|---|---|---|
| 1 | No formal schooling, Seodang, Hanhak (old style non-formal e | 70 |
| 2 | Elementary incomplete | 38 |
| 3 | Elementary completed | 115 |
| 4 | Middle school, junior high school incomplete | 26 |
| 5 | Middle school, junior high school completed | 113 |
| 6 | High school incomplete | 36 |
| 7 | High school completed | 439 |
| 8 | Junior college incomplete, 2-3 years | 37 |
| 9 | Junior college completed, 2-3 years | 198 |
| 10 | University incomplete, 4 years course | 122 |
| 11 | University completed, 4 years course | 284 |
| 12 | Master degree incomplete | 22 |
| 13 | Masters degree completed | 54 |
| 14 | Doctoral degree incomplete | 3 |
| 15 | Doctoral degree, PhD completed | 15 |
| 0 | NAP, other countries | 43623 |
| 98 | Don't know | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1572 | 43627 | 1 | 15 |
Valid range from 1 to 15
LT_DEGR Country specific highest completed degree of education: Lithuania
| Value 90242 | Frequency | |
|---|---|---|
| 1 | Incomplete primary | 18 |
| 2 | Primary completed | 71 |
| 3 | Vocational (without completing basic) | 21 |
| 4 | Basic (includung youth schools) | 77 |
| 5 | Vocational (completing basic) | 53 |
| 6 | Vocational (after completing basic) | 80 |
| 7 | Secondary completed (including gymnasium schools) | 150 |
| 8 | Special secondary (including technical schools) | 121 |
| 9 | Vocational (after completing secondary) | 76 |
| 10 | Higher vocational (non-university degree) | 125 |
| 11 | Higher (university degree) | 218 |
| 12 | Doctoral or candidate of sciences degree | 6 |
| 0 | NAP, other countries | 44176 |
| 98 | Don't know | 4 |
| 99 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1016 | 44183 |
Valid range from 1 to 12
LV_DEGR Country specific highest completed degree of education: Latvia
| Value 91241 | Frequency | |
|---|---|---|
| 1 | Incomplete basic education, less than 8 forms | 22 |
| 2 | Primary completed, basic education, 9 years | 106 |
| 3 | Incomplete secondary, vocational training 2-3 years | 82 |
| 4 | Secondary completed, 3 years | 190 |
| 5 | Secondary professional education, 4 years | 321 |
| 6 | Incomplete higher education, at least 2 completed years | 70 |
| 7 | Higher education, bachelor, master, doctor degree | 209 |
| 0 | NAP, other countries | 44199 |
| 99 | NA | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1000 | 44199 | 1 | 7 |
Valid range from 1 to 7
MX_DEGR Country specific highest completed degree of education: Mexico
| Value 92240 | Frequency | |
|---|---|---|
| 1 | None, still at school | 182 |
| 2 | Primary school completed | 268 |
| 3 | Technical training without secondary qualification | 9 |
| 4 | Secondary school completed | 312 |
| 5 | Technical training after secondary qualification | 37 |
| 6 | High school completed | 362 |
| 7 | Technical training after high school qualification | 56 |
| 8 | University completed | 250 |
| 9 | Master, doctorate degree | 37 |
| 0 | NAP, other countries | 43562 |
| 99 | No answer | 124 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1513 | 43686 | 1 | 9 |
Valid range from 1 to 9
NO_DEGR Country specific highest completed degree of education: Norway
| Value 93239 | Frequency | |
|---|---|---|
| 1 | No formal education completed | 5 |
| 2 | Primary compulsory, lower secondary compulsory | 70 |
| 3 | Lower secondray voluntary, higher secondary incomplete | 277 |
| 4 | Upper secondary, vocational completed | 141 |
| 5 | Upper secondary, general completed | 148 |
| 6 | Technical and training college | 63 |
| 7 | University, college, incomplete, less than 3 years | 177 |
| 8 | University, college, completed, 3-4 years | 311 |
| 9 | University, college, completed, 5 years or more | 178 |
| 0 | NAP, other countries | 43817 |
| 99 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1370 | 43829 |
Valid range from 1 to 9
NZ_DEGR Country specific highest completed degree of education: New Zealand
| Value 94238 | Frequency | |
|---|---|---|
| 1 | No formal qualification | 204 |
| 2 | School qualification, National certificate level | 316 |
| 3 | Trade or professional certificate | 241 |
| 4 | Diploma below degree level | 144 |
| 5 | University degree, bachelor degree | 146 |
| 6 | Post-graduate or higher qualification | 97 |
| 0 | NAP, other countries | 44027 |
| 99 | No answer | 24 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1148 | 44051 |
Valid range from 1 to 6
PH_DEGR Country specific highest completed degree of education:Philippines
| Value 95237 | Frequency | |
|---|---|---|
| 1 | No formal education | 15 |
| 2 | Some elementary, Incomplete primary | 188 |
| 3 | Completed elementary, primary completed | 170 |
| 4 | Some high school, incomplete secondary | 177 |
| 5 | Completed high school, secondary completed | 277 |
| 6 | Some Vocational | 23 |
| 7 | Completed Vocational | 50 |
| 8 | Some College | 155 |
| 9 | Completed College | 140 |
| 10 | Post college | 5 |
| 0 | NAP, other countries | 43999 |
| 99 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 43999 |
Valid range from 1 to 10
RU_DEGR Country specific highest completed degree of education: Russia
| Value 96236 | Frequency | |
|---|---|---|
| 1 | Primary school | 76 |
| 2 | Intermediate secondary school completed | 119 |
| 3 | Trade school, intermediate school | 278 |
| 4 | High secondary school completed | 110 |
| 5 | Trade school, high secondary completed | 127 |
| 6 | Technical secondary school | 480 |
| 7 | Higher education incomplete | 68 |
| 8 | Higher education, university degree completed | 361 |
| 0 | NAP, other countries | 43580 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1619 | 43580 | 1 | 8 |
Valid range from 1 to 8
SE_DEGR Country specific highest completed degree of education: Sweden
| Value 97235 | Frequency | |
|---|---|---|
| 1 | Incomplete Primary/ comprehensive school | 9 |
| 2 | Primary or comprehensive school pre 1962 (6-8 years) | 111 |
| 3 | Primary or comprehensive school post 1962 (9 years) | 94 |
| 4 | Lower secondary school | 46 |
| 5 | Vocational school (1963-1970) | 24 |
| 6 | Vocational school (2 years) | 167 |
| 7 | 3 or 4 years gymnasium, academic track | 133 |
| 8 | Vocational school (post 1992) | 86 |
| 9 | Gymnasium, academic track post 1992 | 41 |
| 10 | University studies without degree | 94 |
| 11 | University degree, less than 3 years | 79 |
| 12 | University degree, 3 years or more | 255 |
| 13 | Doctor's degree | 18 |
| 0 | NAP, other countries | 44018 |
| 99 | No answer | 24 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1157 | 44042 | 1 | 13 |
Valid range from 1 to 13
SI_DEGR Country specific highest completed degree of education: Slovenia
| Value 98234 | Frequency | |
|---|---|---|
| 1 | No education, incomplete primary school | 40 |
| 2 | Primary completed | 177 |
| 3 | Completed 2-3 years vocational school | 203 |
| 4 | Completed 4 years secondary school - technical | 307 |
| 5 | Completed 4 years secondary school - general | 107 |
| 6 | Higher degree completed, 2 years college | 66 |
| 7 | Completed 3 years college, 1st Bologna degree | 43 |
| 8 | University or academy completed | 100 |
| 9 | Specialization | 6 |
| 10 | Master degree, (aslo Bologna Master) | 20 |
| 11 | Doctorate degree, Phd | 5 |
| 95 | Other education, not clear | 3 |
| 0 | NAP, other countries | 44117 |
| 98 | Don't know | 1 |
| 99 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1077 | 44122 | 1 | 95 |
Valid range from 1 to 95
SK_DEGR Country specific highest completed degree of education: Slovak Republic
| Value 99233 | Frequency | |
|---|---|---|
| 1 | Incomplete elementary school | 5 |
| 2 | Completed elementary school | 106 |
| 3 | Completed elementary and vocational training without certifi | 34 |
| 4 | Vocational training with certificate, apprenticeship | 308 |
| 5 | Vocational school or trade school | 62 |
| 6 | Completed apprenticeship training with maturity level certif | 118 |
| 7 | Completed vocational upper secondary education | 257 |
| 8 | Completed general upper secondary education, grammar school | 78 |
| 9 | Follow-up, post-maturity education | 26 |
| 10 | University, college education, bachelor degree | 32 |
| 11 | University, college-completed master or engineering programm | 123 |
| 12 | Postgraduate level or higher education study | 9 |
| 0 | NAP, other countries | 44040 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1158 | 44041 | 1 | 12 |
Valid range from 1 to 12
TR_DEGR Country specific highest completed degree of education: Turkey
| Value 100232 | Frequency | |
|---|---|---|
| 1 | No formal education | 193 |
| 2 | Primary completed | 657 |
| 3 | Junior High School completed | 195 |
| 4 | High School completed | 398 |
| 5 | Incomplete University degree | 32 |
| 6 | University degree completed | 171 |
| 0 | NAP, other countries | 43534 |
| 99 | No answer | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1646 | 43553 | 1 | 6 |
Valid range from 1 to 6
TW_DEGR Country specific highest completed degree of education: Taiwan
| Value 101231 | Frequency | |
|---|---|---|
| 1 | None | 94 |
| 2 | Self-study | 20 |
| 3 | Elementary school | 310 |
| 4 | Junior high school | 256 |
| 5 | Vocational junior high school | 6 |
| 6 | Senior high school general | 107 |
| 7 | Senior high school vocational subject | 63 |
| 8 | Vocational senior high school | 471 |
| 9 | Cadet school, senior high level | 2 |
| 10 | 5 years junior college, after junior high | 87 |
| 11 | 2 years junior college after vocational high | 150 |
| 12 | 3 years junior college, after high general | 25 |
| 13 | Military, police junior college, 1 year | 3 |
| 14 | Military, police college, 2 years | 7 |
| 15 | Open junior college | 7 |
| 16 | Open college | 11 |
| 17 | Military, police college | 10 |
| 18 | 2 or 3 years institute of technology | 136 |
| 19 | University, graduate school, college graduate | 330 |
| 20 | Graduate school, master degree | 100 |
| 21 | Graduate school, doctorate degree, PhD | 13 |
| 0 | NAP, other countries | 42990 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2208 | 42991 |
Valid range from 1 to 21
US_DEGR Country specific highest completed degree of education: United States
| Value 102230 | Frequency | |
|---|---|---|
| 1 | Less than High school, less than 12 years | 220 |
| 2 | High school | 696 |
| 3 | Junior college | 109 |
| 4 | Bachelor degree | 266 |
| 5 | Graduate school | 139 |
| 0 | NAP, other countries | 43769 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1430 | 43769 |
Valid range from 1 to 5
ZA_DEGR Country specific highest completed degree of education: South Africa
| Value 103229 | Frequency | |
|---|---|---|
| 1 | No schooling | 122 |
| 2 | Grade 0 or Grade R | 4 |
| 3 | Sub A or Grade 1 | 10 |
| 4 | Sub B or Grade 2 | 20 |
| 5 | Grade 3 or Standard 1 | 60 |
| 6 | Grade 4 or Standard 2 | 56 |
| 7 | Grade 5 or Standard 3 | 79 |
| 8 | Grade 6 or Standard 4 | 103 |
| 9 | Grade 7 or Standard 5 | 144 |
| 10 | Grade 8 or Standard 6 or Form 1 | 225 |
| 11 | Grade 9 or Standard 7 or Form 2 | 205 |
| 12 | Grade 10 or Standard 8 or Form 3 | 344 |
| 13 | Grade 11 or Standard 9 or Form 4 | 312 |
| 14 | Grade 12 or Standard 10 or Form 5 or Matric | 881 |
| 15 | NTC I | 8 |
| 16 | NTC II | 17 |
| 17 | NTC III | 31 |
| 18 | Diploma or certificate with less than Grade 13 or Std 10 | 51 |
| 19 | Diploma or certificate with Grade 12 or Std 10 | 175 |
| 20 | Degree | 131 |
| 21 | Postgraduate degree or diploma | 68 |
| 22 | Other | 6 |
| 0 | NAP, other countries | 42087 |
| 98 | Don't know | 1 |
| 99 | No answer | 59 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 3052 | 42147 |
Valid range from 1 to 22
DEGREE Education II: Highest education level: categories
| Value 104228 | Frequency | |
|---|---|---|
| 0 | No formal qualification | 3173 |
| 1 | Lowest formal qualification | 6076 |
| 2 | Intermediate secondary completed (qualifications above the l | 9461 |
| 3 | Higher secondary completed (usual entry requirements for uni | 11955 |
| 4 | University degree incomplete (qualifications above higher se | 6292 |
| 5 | University degree completed, BG: lower tertiary level, upper | 7728 |
| 8 | Don't know | 5 |
| 9 | No answer, other qualification, education | 509 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44685 | 514 | 0 | 5 |
Valid range from 0 to 5
WORK Currently, formerly, or never in paid work
| Value 105227 | Frequency | |
|---|---|---|
| 1 | Currently in paid work | 23227 |
| 2 | Currently not in paid work, paid work in the past | 14650 |
| 3 | Never had paid work, NZ: not coded | 5286 |
| 0 | Not available: JP | 1307 |
| 9 | No answer, CH: NA, don't know | 729 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43163 | 2036 | 1 | 3 |
Valid range from 1 to 3
WRKHRS Hours worked weekly
| Value 106226 | Frequency | |
|---|---|---|
| 1 | One hour | 6 |
| 96 | 96 hours and more | 208 |
| 0 | NAP (Code 2 or 3 in WORK), DK: code 3 in WORK, FR,JP: code 2 | 20127 |
| 98 | Don't know | 737 |
| 99 | No answer | 1248 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 23087 | 22112 | 1 | 96 |
Valid range from 1 to 96
EMPREL Employment relationship
| Value 107225 | Frequency | |
|---|---|---|
| 1 | Employee | 31701 |
| 2 | Self-employed without employees | 3800 |
| 3 | Self-employed with employees | 1578 |
| 4 | Working for own family's business, BG,RU,US: not asked | 803 |
| 0 | NAP (Code 3 (NZ: 2) in WORK), JP: code 2-9 in MAINSTAT | 6140 |
| 9 | No answer | 1177 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 37882 | 7317 | 1 | 4 |
Valid range from 1 to 4
NEMPLOY Self-employed: how many employees
| Value 108224 | Frequency | |
|---|---|---|
| 1 | 1 employee | 309 |
| 9995 | 9995 employees or more | 1 |
| 0 | NAP (Code 1, 2, 4, 0 in EMPREL) | 42416 |
| 9999 | No answer | 1267 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1516 | 43683 | 1 | 9995 |
Valid range from 1 to 9995
WRKSUP Supervise other employees
| Value 109223 | Frequency | |
|---|---|---|
| 1 | Yes | 8615 |
| 2 | No | 26703 |
| 0 | NAP (Code 3 (NZ,US: 2,3) in WORK or Code 2,3 (AR,BG: 0,2,3) | 8309 |
| 8 | Don't know, AR: don't know, no answer | 77 |
| 9 | No answer, CH: No answer, don't know | 1495 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35318 | 9881 | 1 | 2 |
Valid range from 1 to 2
NSUP Number of other employees supervised
| Value 110222 | Frequency | |
|---|---|---|
| 1 | 1 employee | 633 |
| 9995 | 9995 employees or more | 6 |
| 0 | NAP (code 2, 0 in WRKSUP), not available: FR,HR,JP,RU,US | 36398 |
| 9998 | Don't know | 6 |
| 9999 | No answer, AR: don't know, no answer | 2083 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 6712 | 38487 | 1 | 9995 |
Valid range from 1 to 9995
TYPORG1 Type of organisation, for-profit vs. non profit
| Value 111221 | Frequency | |
|---|---|---|
| 1 | For-profit organisation | 22574 |
| 2 | Non-profit organisation | 7493 |
| 3 | US: Government or government agency | 131 |
| 4 | IL,PH: self-employed | 109 |
| 0 | NAP (Code 3 (US: 2,3) in WORK), NZ: not working; not availab | 11860 |
| 8 | Don't know, AR: don't know, no answer | 991 |
| 9 | No answer | 2041 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 30307 | 14892 | 1 | 4 |
Valid range from 1 to 4
TYPORG2 Type of organisation, public vs. private
| Value 112220 | Frequency | |
|---|---|---|
| 1 | Public employer | 12040 |
| 2 | Private employer | 23825 |
| 4 | PH: self-employed | 19 |
| 0 | NAP (Code 3 in WORK), NZ: not working; not available: JP | 6899 |
| 8 | Don't know, AR: don't know, no answer | 536 |
| 9 | No answer | 1880 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35884 | 9315 | 1 | 4 |
Valid range from 1 to 4
ISCO88 Occupation ISCO/ ILO 1988
| Value 113219 | Frequency | |
|---|---|---|
| 110 | ARMED FORCES | 164 |
| 1000 | LEGISLATORS, SENIOR OFFICIALS AND MANAGERS | 3 |
| 1100 | LEGISLATORS AND SENIOR OFFICIALS | 13 |
| 1110 | LEGISLATORS | 19 |
| 1120 | SENIOR GOVERNMENT OFFICIALS | 105 |
| 1130 | TRADITIONAL CHIEFS AND HEADS OF VILLAGES | 5 |
| 1140 | SENIOR OFFICIALS OF SPECIAL-INTEREST ORGANIZATIONS | 4 |
| 1141 | Senior officials of political-party organizations | 2 |
| 1142 | Senior officials of employers', workers' and other economic- | 10 |
| 1143 | Senior officials of humanitarian and other special-interest | 7 |
| 1200 | CORPORATE MANAGERS | 35 |
| 1210 | DIRECTORS AND CHIEF EXECUTIVES | 251 |
| 1220 | PRODUCTION AND OPERATIONS DEPARTMENT MANAGERS | 93 |
| 1221 | Production and operations department managers in agriculture | 39 |
| 1222 | Production and operations department managers in manufacturi | 128 |
| 1223 | Production and operations department managers in constructio | 48 |
| 1224 | Production and operations department managers in wholesale a | 51 |
| 1225 | Production and operations department managers in restaurants | 26 |
| 1226 | Production and operations department managers in transport, | 55 |
| 1227 | Production and operations department managers in business se | 29 |
| 1228 | Production and operations department managers in personal ca | 24 |
| 1229 | Production and operations department managers not elsewhere | 317 |
| 1230 | OTHER DEPARTMENT MANAGERS | 163 |
| 1231 | Finance and administration department managers | 137 |
| 1232 | Personnel and industrial relations department managers | 28 |
| 1233 | Sales and marketing department managers | 119 |
| 1234 | Advertising and public relations department managers | 15 |
| 1235 | Supply and distribution department managers | 20 |
| 1236 | Computing services department managers | 31 |
| 1237 | Research and development department managers | 46 |
| 1239 | Other department managers not elsewhere classified | 74 |
| 1300 | GENERAL MANAGERS | 63 |
| 1310 | GENERAL MANAGERS | 167 |
| 1311 | General managers in agriculture, hunting, forestry/ and fish | 40 |
| 1312 | General managers in manufacturing | 52 |
| 1313 | General managers in construction | 47 |
| 1314 | General managers in wholesale and retail trade | 323 |
| 1315 | General managers of restaurants and hotels | 93 |
| 1316 | General managers in transport, storage and communications | 29 |
| 1317 | General managers of business services | 38 |
| 1318 | General managers in personal care, cleaning and related serv | 11 |
| 1319 | General managers not elsewhere classified | 186 |
| 2000 | PROFESSIONALS | 44 |
| 2100 | PHYSICAL, MATHEMATICAL AND ENGINEERING SCIENCE PROFESSIONALS | 45 |
| 2110 | PHYSICISTS, CHEMISTS AND RELATED PROFESSIONALS | 16 |
| 2111 | Physicists and astronomers | 5 |
| 2112 | Meteorologists | 3 |
| 2113 | Chemists | 13 |
| 2114 | Geologists and geophysicists | 7 |
| 2120 | MATHEMATICIANS, STATISTICIANS AND RELATED PROFESSIONALS | 2 |
| 2121 | Mathematicians and related professionals | 2 |
| 2122 | Statisticians | 4 |
| 2130 | COMPUTING PROFESSIONALS | 58 |
| 2131 | Computer systems designers and analysts | 165 |
| 2132 | Computer programmers | 51 |
| 2139 | Computing professionals not elsewhere classified | 42 |
| 2140 | ARCHITECTS, ENGINEERS AND RELATED PROFESSIONALS | 99 |
| 2141 | Architects, town and traffic planners | 64 |
| 2142 | Civil engineers | 110 |
| 2143 | Electrical engineers | 50 |
| 2144 | Electronics and telecommunications engineers | 26 |
| 2145 | Mechanical engineers | 69 |
| 2146 | Chemical engineers | 11 |
| 2147 | Mining engineers, metallurgists and related professionals | 11 |
| 2148 | Cartographers and surveyors | 21 |
| 2149 | Architects, engineers and related professionals not elsewher | 123 |
| 2200 | LIFE SCIENCE AND HEALTH PROFESSIONALS | 7 |
| 2210 | LIFE SCIENCE PROFESSIONALS | 8 |
| 2211 | Biologists, botanists, zoologists and related professionals | 29 |
| 2212 | Pharmacologists, pathologists and related professionals | 21 |
| 2213 | Agronomists and related professionals | 23 |
| 2220 | HEALTH PROFESSIONALS (except nursing) | 46 |
| 2221 | Medical doctors | 168 |
| 2222 | Dentists | 38 |
| 2223 | Veterinarians | 28 |
| 2224 | Pharmacists | 45 |
| 2229 | Health professionals (except nursing) not elsewhere classifi | 25 |
| 2230 | NURSING AND MIDWIFERY PROFESSIONALS | 304 |
| 2300 | TEACHING PROFESSIONALS | 77 |
| 2310 | COLLEGE, UNIVERSITY AND HIGHER EDUCATION TEACHING PROFESSION | 242 |
| 2320 | SECONDARY EDUCATION TEACHING PROFESSIONALS | 670 |
| 2330 | PRIMARY AND PRE-PRIMARY EDUCATION TEACHING PROFESSIONALS | 46 |
| 2331 | Primary education teaching professionals | 420 |
| 2332 | Pre-primary education teaching professionals | 167 |
| 2340 | SPECIAL EDUCATION TEACHING PROFESSIONALS | 49 |
| 2350 | OTHER TEACHING PROFESSIONALS | 49 |
| 2351 | Education methods specialists | 17 |
| 2352 | School inspectors | 3 |
| 2359 | Other teaching professionals not elsewhere classified | 78 |
| 2400 | OTHER PROFESSIONALS | 20 |
| 2410 | BUSINESS PROFESSIONALS | 68 |
| 2411 | Accountants | 278 |
| 2412 | Personnel and careers professionals | 63 |
| 2419 | Business professionals not elsewhere classified | 208 |
| 2420 | LEGAL PROFESSIONALS | 28 |
| 2421 | Lawyers | 94 |
| 2422 | Judges | 6 |
| 2429 | Legal professionals not elsewhere classified | 45 |
| 2430 | ARCHIVISTS, LIBRARIANS AND RELATED INFORMATION PROFESSIONALS | 20 |
| 2431 | Archivists and curators | 19 |
| 2432 | Librarians and related information professionals | 70 |
| 2440 | SOCIAL SCIENCE AND RELATED PROFESSIONALS | 34 |
| 2441 | Economists | 96 |
| 2442 | Sociologists, anthropologists and related professionals | 16 |
| 2443 | Philosophers, historians and political scientists | 4 |
| 2444 | Philologists, translators and interpreters | 28 |
| 2445 | Psychologists | 41 |
| 2446 | Social work professionals | 124 |
| 2450 | WRITERS AND CREATIVE OR PERFORMING ARTISTS | 28 |
| 2451 | Authors, journalists and other writers | 92 |
| 2452 | Sculptors, painters and related artists | 52 |
| 2453 | Composers, musicians and singers | 32 |
| 2454 | Choreographers and dancers | 5 |
| 2455 | Film, stage and related actors and directors | 23 |
| 2460 | RELIGIOUS PROFESSIONALS | 48 |
| 2470 | Public service administrative professions (ISCO_COM) | 49 |
| 3000 | TECHNICIANS AND ASSOCIATE PROFESSIONALS | 26 |
| 3100 | PHYSICAL AND ENGINEERING SCIENCE ASSOCIATE PROFESSIONALS | 35 |
| 3110 | PHYSICAL AND ENGINEERING SCIENCE TECHNICIANS | 134 |
| 3111 | Chemical and physical science technicians | 38 |
| 3112 | Civil engineering technicians | 86 |
| 3113 | Electrical engineering technicians | 65 |
| 3114 | Electronics and telecommunications engineering technicians | 75 |
| 3115 | Mechanical engineering technicians | 99 |
| 3116 | Chemical engineering technicians | 23 |
| 3117 | Mining and metallurgical technicians | 16 |
| 3118 | Draughtspersons | 50 |
| 3119 | Physical and engineering science technicians not elsewhere c | 136 |
| 3120 | COMPUTER ASSOCIATE PROFESSIONALS | 66 |
| 3121 | Computer assistants | 69 |
| 3122 | Computer equipment operators | 24 |
| 3123 | Industrial robot controllers | 7 |
| 3130 | OPTICAL AND ELECTRONIC EQUIPMENT OPERATORS | 4 |
| 3131 | Photographers and image and sound recording equipment operat | 46 |
| 3132 | Broadcasting and telecommunications equipment operators | 13 |
| 3133 | Medical equipment operators | 12 |
| 3139 | Optical and electronic equipment operators not elsewhere cla | 4 |
| 3140 | SHIP AND AIRCRAFT CONTROLLERS AND TECHNICIANS | 10 |
| 3141 | Ships' engineers | 14 |
| 3142 | Ships' deck officers and pilots | 17 |
| 3143 | Aircraft pilots and related associate professionals | 14 |
| 3144 | Air traffic controllers | 4 |
| 3145 | Air traffic safety technicians | 4 |
| 3150 | SAFETY AND QUALITY INSPECTORS | 12 |
| 3151 | Building and fire inspectors | 14 |
| 3152 | Safety, health and quality inspectors | 111 |
| 3200 | LIFE SCIENCE AND HEALTH ASSOCIATE PROFESSIONALS | 13 |
| 3210 | LIFE SCIENCE TECHNICIANS AND RELATED ASSOCIATE PROFESSIONALS | 17 |
| 3211 | Life science technicians | 76 |
| 3212 | Agronomy and forestry technicians | 28 |
| 3213 | Farming and forestry advisers | 11 |
| 3220 | MODERN HEALTH ASSOCIATE PROFESSIONALS (except nursing) | 48 |
| 3221 | Medical assistants | 61 |
| 3222 | Sanitarians | 18 |
| 3223 | Dieticians and nutritionists | 15 |
| 3224 | Optometrists and opticians | 9 |
| 3225 | Dental assistants | 34 |
| 3226 | Physiotherapists and related associate professionals | 76 |
| 3227 | Veterinary assistants | 4 |
| 3228 | Pharmaceutical assistants | 26 |
| 3229 | Modern health associate professionals (except nursing) not e | 50 |
| 3230 | NURSING AND MIDWIFERY ASSOCIATE PROFESSIONALS | 58 |
| 3231 | Nursing associate professionals | 332 |
| 3232 | Midwifery associate professionals | 17 |
| 3240 | TRADITIONAL MEDICINE PRACTITIONERS AND FAITH HEALERS | 3 |
| 3241 | Traditional medicine practitioners | 8 |
| 3242 | Faith healers | 0 |
| 3300 | TEACHING ASSOCIATE PROFESSIONALS | 22 |
| 3310 | PRIMARY EDUCATION TEACHING ASSOCIATE PROFESSIONALS | 228 |
| 3320 | PRE-PRIMARY EDUCATION TEACHING ASSOCIATE PROFESSIONALS | 182 |
| 3330 | SPECIAL EDUCATION TEACHING ASSOCIATE PROFESSIONALS | 20 |
| 3340 | OTHER TEACHING ASSOCIATE PROFESSIONALS | 200 |
| 3400 | OTHER ASSOCIATE PROFESSIONALS | 69 |
| 3410 | FINANCE AND SALES ASSOCIATE PROFESSIONALS | 114 |
| 3411 | Securities and finance dealers and brokers | 34 |
| 3412 | Insurance representatives | 111 |
| 3413 | Estate agents | 93 |
| 3414 | Travel consultants and organizers | 18 |
| 3415 | Technical and commercial sales representatives | 340 |
| 3416 | Buyers | 70 |
| 3417 | Appraisers, valuers and auctioneers | 27 |
| 3419 | Finance and sales associate professionals not elsewhere clas | 139 |
| 3420 | BUSINESS SERVICES AGENTS AND TRADE BROKERS | 28 |
| 3421 | Trade brokers | 66 |
| 3422 | Clearing and forwarding agents | 15 |
| 3423 | Employment agents and labour contractors | 13 |
| 3429 | Business services agents and trade brokers not elsewhere cla | 45 |
| 3430 | ADMINISTRATIVE ASSOCIATE PROFESSIONALS | 212 |
| 3431 | Administrative secretaries and related associate professiona | 183 |
| 3432 | Legal and related business associate professionals | 155 |
| 3433 | Bookkeepers | 237 |
| 3434 | Statistical, mathematical and related associate professional | 21 |
| 3439 | Administrative associate professionals not elsewhere classif | 195 |
| 3440 | CUSTOMS, TAX AND RELATED GOVERNMENT ASSOCIATE PROFESSIONALS | 42 |
| 3441 | Customs and border inspectors | 14 |
| 3442 | Government tax and excise officials | 17 |
| 3443 | Government social benefits officials | 17 |
| 3444 | Government licensing officials | 4 |
| 3449 | Customs, tax and related government associate professionals | 55 |
| 3450 | POLICE INSPECTORS AND DETECTIVES | 52 |
| 3460 | SOCIAL WORK ASSOCIATE PROFESSIONALS | 148 |
| 3470 | ARTISTIC, ENTERTAINMENT AND SPORTS ASSOCIATE PROFESSIONALS | 20 |
| 3471 | Decorators and commercial designers | 112 |
| 3472 | Radio, television and other announcers | 8 |
| 3473 | Street, night-club and related musicians, singers and dancer | 10 |
| 3474 | Clowns, magicians, acrobats and related associate profession | 6 |
| 3475 | Athletes, sportspersons and related associate professionals | 45 |
| 3480 | RELIGIOUS ASSOCIATE PROFESSIONALS | 11 |
| 4000 | CLERKS | 54 |
| 4100 | OFFICE CLERKS | 168 |
| 4110 | SECRETARIES AND KEYBOARD-OPERATING CLERKS | 245 |
| 4111 | Stenographers and typists | 79 |
| 4112 | Word-processor and related operators | 40 |
| 4113 | Data entry operators | 70 |
| 4114 | Calculating-machine operators | 28 |
| 4115 | Secretaries | 433 |
| 4120 | NUMERICAL CLERKS | 168 |
| 4121 | Accounting and bookkeeping clerks | 251 |
| 4122 | Statistical and finance clerks | 61 |
| 4130 | MATERIAL-RECORDING AND TRANSPORT CLERKS | 22 |
| 4131 | Stock clerks | 223 |
| 4132 | Production clerks | 86 |
| 4133 | Transport clerks | 69 |
| 4140 | LIBRARY, MAIL AND RELATED CLERKS | 31 |
| 4141 | Library and filing clerks | 59 |
| 4142 | Mail carriers and sorting clerks | 125 |
| 4143 | Coding, proof-reading and related clerks | 12 |
| 4144 | Scribes and related workers | 7 |
| 4190 | OTHER OFFICE CLERKS | 709 |
| 4200 | CUSTOMER SERVICES CLERKS | 38 |
| 4210 | CASHIERS, TELLERS AND RELATED CLERKS | 76 |
| 4211 | Cashiers and ticket clerks | 275 |
| 4212 | Tellers and other counter clerks | 93 |
| 4213 | Bookmakers and croupiers | 15 |
| 4214 | Pawnbrokers and money-lenders | 8 |
| 4215 | Debt-collectors and related workers | 24 |
| 4220 | CLIENT INFORMATION CLERKS | 28 |
| 4221 | Travel agency and related clerks | 24 |
| 4222 | Receptionists and information clerks | 147 |
| 4223 | Telephone switchboard operators | 59 |
| 5000 | SERVICE WORKERS AND SHOP AND MARKET SALES WORKERS | 8 |
| 5100 | PERSONAL AND PROTECTIVE SERVICES WORKERS | 20 |
| 5110 | TRAVEL ATTENDANTS AND RELATED WORKERS | 8 |
| 5111 | Travel attendants and travel stewards | 17 |
| 5112 | Transport conductors | 29 |
| 5113 | Travel guides | 19 |
| 5120 | HOUSEKEEPING AND RESTAURANT SERVICES WORKERS | 124 |
| 5121 | Housekeepers and related workers | 60 |
| 5122 | Cooks | 516 |
| 5123 | Waiters, waitresses and bartenders | 479 |
| 5130 | PERSONAL CARE AND RELATED WORKERS | 227 |
| 5131 | Child-care workers | 306 |
| 5132 | Institution-based personal care workers | 320 |
| 5133 | Home-based personal care workers | 133 |
| 5139 | Personal care and related workers not elsewhere classified | 58 |
| 5140 | OTHER PERSONAL SERVICES WORKERS | 198 |
| 5141 | Hairdressers, barbers, beauticians and related workers | 282 |
| 5142 | Companions and valets | 5 |
| 5143 | Undertakers and embalmers | 8 |
| 5149 | Other personal services workers not elsewhere classified | 113 |
| 5150 | ASTROLOGERS, FORTUNE-TELLERS AND RELATED WORKERS | 0 |
| 5151 | Astrologers and related workers | 1 |
| 5152 | Fortune-tellers, palmists and related workers | 3 |
| 5160 | PROTECTIVE SERVICES WORKERS | 44 |
| 5161 | Fire-fighters | 36 |
| 5162 | Police officers | 169 |
| 5163 | Prison guards | 23 |
| 5169 | Protective services workers not elsewhere classified | 224 |
| 5200 | MODELS, SALESPERSONS AND DEMONSTRATORS | 38 |
| 5210 | FASHION AND OTHER MODELS | 3 |
| 5220 | SHOP SALESPERSONS AND DEMONSTRATORS | 2064 |
| 5230 | STALL AND MARKET SALESPERSONS | 164 |
| 6000 | SKILLED AGRICULTURAL AND FISHERY WORKERS | 4 |
| 6100 | MARKET-ORIENTED SKILLED AGRICULTURAL AND FISHERY WORKERS | 127 |
| 6110 | MARKET GARDENERS AND CROP GROWERS | 64 |
| 6111 | Field crop and vegetable growers | 368 |
| 6112 | Tree and shrub crop growers | 120 |
| 6113 | Gardeners, horticultural and nursery growers | 94 |
| 6114 | Mixed-crop growers | 54 |
| 6120 | MARKET-ORIENTED ANIMAL PRODUCERS AND RELATED WORKERS | 17 |
| 6121 | Dairy and livestock producers | 120 |
| 6122 | Poultry producers | 26 |
| 6123 | Apiarists and sericulturists | 9 |
| 6124 | Mixed-animal producers | 13 |
| 6129 | Market-oriented animal producers and related workers not els | 24 |
| 6130 | MARKET-ORIENTED CROP AND ANIMAL PRODUCERS | 161 |
| 6140 | FORESTRY AND RELATED WORKERS | 15 |
| 6141 | Forestry workers and loggers | 38 |
| 6142 | Charcoal burners and related workers | 6 |
| 6150 | FISHERY WORKERS, HUNTERS AND TRAPPERS | 25 |
| 6151 | Aquatic-life cultivation workers | 13 |
| 6152 | Inland and coastal waters fishery workers | 26 |
| 6153 | Deep-sea fishery workers | 9 |
| 6154 | Hunters and trappers | 3 |
| 6200 | SUBSISTENCE AGRICULTURAL AND FISHERY WORKERS | 0 |
| 6210 | SUBSISTENCE AGRICULTURAL AND FISHERY WORKERS | 12 |
| 7000 | CRAFT AND RELATED TRADES WORKERS | 184 |
| 7100 | EXTRACTION AND BUILDING TRADES WORKERS | 26 |
| 7110 | MINERS, SHOTFIRERS, STONE CUTTERS AND CARVERS | 8 |
| 7111 | Miners and quarry workers | 60 |
| 7112 | Shotfirers and blasters | 1 |
| 7113 | Stone splitters, cutters and carvers | 9 |
| 7120 | BUILDING FRAME AND RELATED TRADES WORKERS | 55 |
| 7121 | Builders, traditional materials | 84 |
| 7122 | Bricklayers and stonemasons | 287 |
| 7123 | Concrete placers, concrete finishers and related workers | 39 |
| 7124 | Carpenters and joiners | 197 |
| 7129 | Building frame and related trades workers not elsewhere clas | 120 |
| 7130 | BUILDING FINISHERS AND RELATED TRADES WORKERS | 38 |
| 7131 | Roofers | 32 |
| 7132 | Floor layers and tile setters | 39 |
| 7133 | Plasterers | 39 |
| 7134 | Insulation workers | 10 |
| 7135 | Glaziers | 13 |
| 7136 | Plumbers and pipe fitters | 167 |
| 7137 | Building and related electricians | 184 |
| 7140 | PAINTERS, BUILDING STRUCTURE CLEANERS AND RELATED TRADES WOR | 15 |
| 7141 | Painters and related workers | 142 |
| 7142 | Varnishers and related painters | 30 |
| 7143 | Building structure cleaners | 8 |
| 7200 | METAL, MACHINERY AND RELATED TRADES WORKERS | 43 |
| 7210 | METAL MOULDERS, WELDERS, SHEET-METAL WORKERS, STRUCTURAL- ME | 19 |
| 7211 | Metal moulders and coremakers | 19 |
| 7212 | Welders and flamecutters | 163 |
| 7213 | Sheet metal workers | 58 |
| 7214 | Structural-metal preparers and erectors | 54 |
| 7215 | Riggers and cable splicers | 6 |
| 7216 | Underwater workers | 0 |
| 7220 | BLACKSMITHS, TOOL-MAKERS AND RELATED TRADES WORKERS | 22 |
| 7221 | Blacksmiths, hammer-smiths and forging-press workers | 53 |
| 7222 | Tool-makers and related workers | 120 |
| 7223 | Machine-tool setters and setter-operators | 62 |
| 7224 | Metal wheel-grinders, polishers and tool sharpeners | 31 |
| 7230 | MACHINERY MECHANICS AND FITTERS | 76 |
| 7231 | Motor vehicle mechanics and fitters | 348 |
| 7232 | Aircraft engine mechanics and fitters | 11 |
| 7233 | Agricultural- or industrial-machinery mechanics and fitters | 134 |
| 7240 | ELECTRICAL AND ELECTRONIC EQUIPMENT MECHANICS AND FITTERS | 49 |
| 7241 | Electrical mechanics and fitters | 152 |
| 7242 | Electronics fitters | 40 |
| 7243 | Electronics mechanics and servicers | 54 |
| 7244 | Telegraph and telephone installers and servicers | 23 |
| 7245 | Electrical line installers, repairers and cable jointers | 48 |
| 7300 | PRECISION, HANDICRAFT, PRINTING AND RELATED TRADES WORKERS | 12 |
| 7310 | PRECISION WORKERS IN METAL AND RELATED MATERIALS | 8 |
| 7311 | Precision-instrument makers and repairers | 38 |
| 7312 | Musical instrument makers and tuners | 3 |
| 7313 | Jewellery and precious-metal workers | 19 |
| 7320 | POTTERS, GLASS-MAKERS AND RELATED TRADES WORKERS | 4 |
| 7321 | Abrasive wheel formers, potters and related workers | 13 |
| 7322 | Glass makers, cutters, grinders and finishers | 13 |
| 7323 | Glass engravers and etchers | 3 |
| 7324 | Glass, ceramics and related decorative painters | 4 |
| 7330 | HANDICRAFT WORKERS IN WOOD,TEXTILE, LEATHER AND RELATED MATE | 9 |
| 7331 | Handicraft workers in wood and related materials | 26 |
| 7332 | Handicraft workers in textile, leather and related materials | 11 |
| 7340 | PRINTING AND RELATED TRADES WORKERS | 11 |
| 7341 | Compositors, typesetters and related workers | 36 |
| 7342 | Stereotypers and electrotypers | 7 |
| 7343 | Printing engravers and etchers | 5 |
| 7344 | Photographic and related workers | 16 |
| 7345 | Bookbinders and related workers | 13 |
| 7346 | Silk-screen, block and textile printers | 11 |
| 7400 | OTHER CRAFT AND RELATED TRADES WORKERS | 19 |
| 7410 | FOOD PROCESSING AND RELATED TRADES WORKERS | 44 |
| 7411 | Butchers, fishmongers and related food preparers | 92 |
| 7412 | Bakers, pastry-cooks and confectionery makers | 143 |
| 7413 | Dairy-products makers | 29 |
| 7414 | Fruit, vegetable and related preservers | 5 |
| 7415 | Food and beverage tasters and graders | 5 |
| 7416 | Tobacco preparers and tobacco products makers | 2 |
| 7420 | WOOD TREATERS, CABINET-MAKERS AND RELATED TRADES WORKERS | 10 |
| 7421 | Wood treaters | 15 |
| 7422 | Cabinet makers and related workers | 87 |
| 7423 | Woodworking machine setters and setter-operators | 9 |
| 7424 | Basketry weavers, brush makers and related workers | 2 |
| 7430 | TEXTILE, GARMENT AND RELATED TRADES WORKERS | 78 |
| 7431 | Fibre preparers | 9 |
| 7432 | Weavers, knitters and related workers | 71 |
| 7433 | Tailors, dressmakers and hatters | 194 |
| 7434 | Furriers and related workers | 4 |
| 7435 | Textile, leather and related pattern-makers and cutters | 34 |
| 7436 | Sewers, embroiderers and related workers | 129 |
| 7437 | Upholsterers and related workers | 15 |
| 7440 | PELT, LEATHER AND SHOEMAKING TRADES WORKERS | 9 |
| 7441 | Pelt dressers, tanners and fellmongers | 3 |
| 7442 | Shoe-makers and related workers | 33 |
| 7500 | Metal worker general | 5 |
| 7510 | Metal worker not elsewhere classified | 30 |
| 7520 | Electronics engineers not elsewhere classified | 38 |
| 7900 | Master craftsman, supervisor | 18 |
| 8000 | PLANT AND MACHINE OPERATORS AND ASSEMBLERS | 66 |
| 8100 | STATIONARY-PLANT AND RELATED OPERATORS | 19 |
| 8110 | MINING- AND MINERAL-PROCESSING-PLANT OPERATORS | 2 |
| 8111 | Mining-plant operators | 11 |
| 8112 | Mineral-ore- and stone-processing-plant operators | 4 |
| 8113 | Well drillers and borers and related workers | 12 |
| 8120 | METAL-PROCESSING-PLANT OPERATORS | 5 |
| 8121 | Ore and metal furnace operators | 11 |
| 8122 | Metal melters, casters and rolling-mill operators | 17 |
| 8123 | Metal-heat-treating-plant operators | 10 |
| 8124 | Metal drawers and extruders | 14 |
| 8130 | GLASS, CERAMICS AND RELATED PLANT OPERATORS | 2 |
| 8131 | Glass and ceramics kiln and related machine operators | 8 |
| 8139 | Glass, ceramics and related plant operators not elsewhere cl | 10 |
| 8140 | WOOD-PROCESSING- AND PAPERMAKING-PLANT OPERATORS | 7 |
| 8141 | Wood-processing-plant operators | 27 |
| 8142 | Paper-pulp plant operators | 11 |
| 8143 | Papermaking-plant operators | 19 |
| 8150 | CHEMICAL-PROCESSING-PLANT OPERATORS | 12 |
| 8151 | Crushing-, grinding- and chemical-mixing-machinery operators | 4 |
| 8152 | Chemical-heat-treating-plant operators | 2 |
| 8153 | Chemical-filtering- and separating-equipment operators | 1 |
| 8154 | Chemical-still and reactor operators (except petroleum and n | 1 |
| 8155 | Petroleum- and natural-gas-refining-plant operators | 7 |
| 8159 | Chemical-processing-plant operators not elsewhere classified | 19 |
| 8160 | POWER-PRODUCTION AND RELATED PLANT OPERATORS | 12 |
| 8161 | Power-production plant operators | 7 |
| 8162 | Steam-engine and boiler operators | 18 |
| 8163 | Incinerator, water-treatment and related plant operators | 13 |
| 8170 | AUTOMATED-ASSEMBLY-LINE AND INDUSTRIAL-ROBOT OPERATORS | 19 |
| 8171 | Automated-assembly-line operators | 28 |
| 8172 | Industrial-robot operators | 2 |
| 8200 | MACHINE OPERATORS AND ASSEMBLERS | 25 |
| 8210 | METAL- AND MINERAL-PRODUCTS MACHINE OPERATORS | 36 |
| 8211 | Machine-tool operators | 95 |
| 8212 | Cement and other mineral products machine operators | 11 |
| 8220 | CHEMICAL-PRODUCTS MACHINE OPERATORS | 5 |
| 8221 | Pharmaceutical- and toiletry-products machine operators | 7 |
| 8222 | Ammunition- and explosive-products machine operators | 0 |
| 8223 | Metal finishing-, plating- and coating-machine operators | 13 |
| 8224 | Photographic-products machine operators | 1 |
| 8229 | Chemical-products machine operators not elsewhere classified | 6 |
| 8230 | RUBBER- AND PLASTIC-PRODUCTS MACHINE OPERATORS | 4 |
| 8231 | Rubber-products machine operators | 11 |
| 8232 | Plastic-products machine operators | 62 |
| 8240 | WOOD-PRODUCTS MACHINE OPERATORS | 19 |
| 8250 | PRINTING-, BINDING- AND PAPER-PRODUCTS MACHINE OPERATORS | 5 |
| 8251 | Printing-machine operators | 27 |
| 8252 | Bookbinding-machine operators | 3 |
| 8253 | Paper-products machine operators | 8 |
| 8260 | TEXTILE-, FUR- AND LEATHER-PRODUCTS MACHINE OPERATORS | 16 |
| 8261 | Fibre-preparing-, spinning- and winding-machine operators | 14 |
| 8262 | Weaving- and knitting-machine operators | 16 |
| 8263 | Sewing-machine operators | 88 |
| 8264 | Bleaching-, dyeing- and cleaning-machine operators | 26 |
| 8265 | Fur and leather-preparing-machine operators | 8 |
| 8266 | Shoemaking- and related machine operators | 22 |
| 8269 | Textile-, fur- and leather-products machine operators not el | 17 |
| 8270 | FOOD AND RELATED PRODUCTS MACHINE OPERATORS | 22 |
| 8271 | Meat- and fish-processing-machine operators | 45 |
| 8272 | Dairy-products machine operators | 5 |
| 8273 | Grain- and spice-milling-machine operators | 5 |
| 8274 | Baked-goods, cereal and chocolate-products machine operators | 21 |
| 8275 | Fruit-, vegetable- and nut-processing-machine operators | 11 |
| 8276 | Sugar production machine operators | 2 |
| 8277 | Tea-, coffee-, and cocoa-processing-machine operators | 0 |
| 8278 | Brewers, wine and other beverage machine operators | 8 |
| 8279 | Tobacco production machine operators | 5 |
| 8280 | ASSEMBLERS | 67 |
| 8281 | Mechanical-machinery assemblers | 35 |
| 8282 | Electrical-equipment assemblers | 23 |
| 8283 | Electronic-equipment assemblers | 26 |
| 8284 | Metal-, rubber- and plastic-products assemblers | 19 |
| 8285 | Wood and related products assemblers | 7 |
| 8286 | Paperboard, textile and related products assemblers | 6 |
| 8290 | OTHER MACHINE OPERATORS AND ASSEMBLERS | 151 |
| 8300 | DRIVERS AND MOBILE-PLANT OPERATORS | 8 |
| 8310 | LOCOMOTIVE-ENGINE DRIVERS AND RELATED WORKERS | 43 |
| 8311 | Locomotive-engine drivers | 29 |
| 8312 | Railway brakers, signallers and shunters | 30 |
| 8320 | MOTOR-VEHICLE DRIVERS | 135 |
| 8321 | Motor-cycle drivers | 58 |
| 8322 | Car, taxi and van drivers | 303 |
| 8323 | Bus and tram drivers | 159 |
| 8324 | Heavy-truck and lorry drivers | 371 |
| 8330 | AGRICULTURAL AND OTHER MOBILE-PLANT OPERATORS | 11 |
| 8331 | Motorised farm and forestry plant operators | 102 |
| 8332 | Earth-moving- and related plant operators | 72 |
| 8333 | Crane, hoist and related plant operators | 42 |
| 8334 | Lifting-truck operators | 41 |
| 8340 | SHIPS' DECK CREWS AND RELATED WORKERS | 29 |
| 9000 | ELEMENTARY OCCUPATIONS | 48 |
| 9100 | SALES AND SERVICES ELEMENTARY OCCUPATIONS | 50 |
| 9110 | STREET VENDORS AND RELATED WORKERS | 9 |
| 9111 | Street food vendors | 123 |
| 9112 | Street vendors, non-food products | 45 |
| 9113 | Door-to-door and telephone salespersons | 36 |
| 9120 | SHOE CLEANING AND OTHER STREET SERVICES ELEMENTARY OCCUPATIO | 4 |
| 9130 | DOMESTIC AND RELATED HELPERS, CLEANERS AND LAUNDERERS | 176 |
| 9131 | Domestic helpers and cleaners | 689 |
| 9132 | Helpers and cleaners in offices, hotels and other establishm | 599 |
| 9133 | Hand-launderers and pressers | 54 |
| 9140 | BUILDING CARETAKERS, WINDOW AND RELATED CLEANERS | 63 |
| 9141 | Building caretakers | 143 |
| 9142 | Vehicle, window and related cleaners | 28 |
| 9150 | MESSENGERS, PORTERS, DOORKEEPERS AND RELATED WORKERS | 11 |
| 9151 | Messengers, package and luggage porters and deliverers | 118 |
| 9152 | Doorkeepers, watchpersons and related workers | 113 |
| 9153 | Vending-machine money collectors, meter readers and related | 6 |
| 9160 | GARBAGE COLLECTORS AND RELATED LABOURERS | 14 |
| 9161 | Garbage collectors | 28 |
| 9162 | Sweepers and related labourers | 97 |
| 9200 | AGRICULTURAL, FISHERY AND RELATED LABOURERS | 6 |
| 9210 | AGRICULTURAL, FISHERY AND RELATED LABOURERS | 9 |
| 9211 | Farm-hands and labourers | 551 |
| 9212 | Forestry labourers | 29 |
| 9213 | Fishery, hunting and trapping labourers | 7 |
| 9300 | LABOURERS IN MINING, CONSTRUCTION, MANUFACTURING AND TRANSPO | 33 |
| 9310 | MINING AND CONSTRUCTION LABOURERS | 25 |
| 9311 | Mining and quarrying labourers | 13 |
| 9312 | Construction and maintenance labourers: roads, dams and simi | 121 |
| 9313 | Building construction labourers | 172 |
| 9320 | MANUFACTURING LABOURERS | 173 |
| 9321 | Assembling labourers | 57 |
| 9322 | Hand packers and other manufacturing labourers | 212 |
| 9330 | TRANSPORT LABOURERS AND FREIGHT HANDLERS | 76 |
| 9331 | Hand or pedal vehicle drivers | 4 |
| 9332 | Drivers of animal-drawn vehicles and machinery | 3 |
| 9333 | Freight handlers | 99 |
| 0 | NAP (Code 3 in WORK), JP: code 2-9 in MAINSTAT | 6181 |
| 9997 | Refused | 102 |
| 9998 | Don't know, inadequately described | 454 |
| 9999 | No answer | 2210 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36252 | 8947 |
Valid range from 110 to 9333
MAINSTAT Main status
| Value 114218 | Frequency | |
|---|---|---|
| 1 | In paid work | 23774 |
| 2 | Unemployed and looking for a job | 3165 |
| 3 | In education | 2625 |
| 4 | Apprentice or trainee | 129 |
| 5 | Permanently sick or disabled | 923 |
| 6 | Retired | 8916 |
| 7 | Domestic work | 3879 |
| 8 | In compulsory military service or community service | 111 |
| 9 | Other | 942 |
| 10 | ZA: Temporarily sick | 13 |
| 99 | No answer | 722 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44477 | 722 | 1 | 10 |
Valid range from 1 to 10
PARTLIV Living in steady partnership
| Value 115217 | Frequency | |
|---|---|---|
| 1 | Yes, have partner; live in same household | 25838 |
| 2 | Yes, have partner; don't live in same household | 2319 |
| 3 | No partner | 14048 |
| 0 | Not available: DK,GB-GBN | 2233 |
| 7 | Refused | 125 |
| 9 | No answer | 636 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42205 | 2994 | 1 | 3 |
Valid range from 1 to 3
SPWORK Spouse, partner: Currently, formerly or never in paid work
| Value 116216 | Frequency | |
|---|---|---|
| 1 | Currently in paid work | 16503 |
| 2 | Currently not in paid work, paid work in the past, US: curre | 8148 |
| 3 | Never had paid work | 2816 |
| 5 | CH: spouse/partner living apart, not asked | 60 |
| 0 | NAP (Code 3 in PARTLIV); GB: not married in MARITAL, US: cod | 16475 |
| 9 | No answer | 1197 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27527 | 17672 | 1 | 5 |
Valid range from 1 to 5
SPWRKHRS Spouse, partner: hours worked weekly
| Value 117215 | Frequency | |
|---|---|---|
| 1 | One hour | 6 |
| 96 | 96 hours or more | 148 |
| 0 | NAP (Code 2 or 3,0 in SPWORK, CH: code 2,3,5,0 in SPWORK); n | 30908 |
| 98 | Don't know, AR: don't know, no answer | 724 |
| 99 | No answer | 1141 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 12426 | 32773 | 1 | 96 |
Valid range from 1 to 96
SPEMPREL Spouse, partner: employment relationship
| Value 118214 | Frequency | |
|---|---|---|
| 1 | Employee | 14996 |
| 2 | Self-employed without employees | 1779 |
| 3 | Self-employed with employees | 839 |
| 4 | Working for own family's business | 568 |
| 5 | GB: Self-employed with or without employees, US: self-employ | 113 |
| 0 | NAP (Code (2), 3, 0 in SPWORK, CH: code 3,5,0 in SPWORK); no | 25490 |
| 9 | No answer, AR: don't know, no answer | 1414 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 18295 | 26904 | 1 | 5 |
Valid range from 1 to 5
SPWRKSUP Spouse, partner: supervise other employees
| Value 119213 | Frequency | |
|---|---|---|
| 1 | Yes | 4221 |
| 2 | No | 13408 |
| 0 | NAP (Code 3, 0 in SPWORK, CH: code 3,5,0 in SPWORK); not ava | 26048 |
| 8 | Don't know | 120 |
| 9 | No answer | 1402 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 17629 | 27570 | 1 | 2 |
Valid range from 1 to 2
SPISCO88 Spouse, partner: occupation ISCO/ ILO 1988
| Value 120212 | Frequency | |
|---|---|---|
| 110 | ARMED FORCES | 124 |
| 1000 | LEGISLATORS, SENIOR OFFICIALS AND MANAGERS | 6 |
| 1100 | LEGISLATORS AND SENIOR OFFICIALS | 3 |
| 1110 | LEGISLATORS | 12 |
| 1120 | SENIOR GOVERNMENT OFFICIALS | 47 |
| 1130 | TRADITIONAL CHIEFS AND HEADS OF VILLAGES | 2 |
| 1140 | SENIOR OFFICIALS OF SPECIAL-INTEREST organizationS | 4 |
| 1141 | Senior officials of political-party organizations | 1 |
| 1142 | Senior officials of employers', workers' and other economic- | 0 |
| 1143 | Senior officials of humanitarian and other special-interest | 4 |
| 1200 | CORPORATE MANAGERS | 47 |
| 1210 | DIRECTORS AND CHIEF EXECUTIVES | 169 |
| 1220 | PRODUCTION AND OPERATIONS DEPARTMENT MANAGERS | 53 |
| 1221 | Production and operations department managers in agriculture | 22 |
| 1222 | Production and operations department managers in manufacturi | 98 |
| 1223 | Production and operations department managers in constructio | 25 |
| 1224 | Production and operations department managers in wholesale a | 33 |
| 1225 | Production and operations department managers in restaurants | 14 |
| 1226 | Production and operations department managers in transport, | 27 |
| 1227 | Production and operations department managers in business se | 21 |
| 1228 | Production and operations department managers in personal ca | 4 |
| 1229 | Production and operations department managers not elsewhere | 190 |
| 1230 | OTHER DEPARTMENT MANAGERS | 98 |
| 1231 | Finance and administration department managers | 62 |
| 1232 | Personnel and industrial relations department managers | 28 |
| 1233 | Sales and marketing department managers | 90 |
| 1234 | Advertising and public relations department managers | 12 |
| 1235 | Supply and distribution department managers | 14 |
| 1236 | Computing services department managers | 21 |
| 1237 | Research and development department managers | 20 |
| 1239 | Other department managers not elsewhere classified | 37 |
| 1300 | GENERAL MANAGERS | 54 |
| 1310 | GENERAL MANAGERS | 128 |
| 1311 | General managers in agriculture, hunting, forestry/ and fish | 18 |
| 1312 | General managers in manufacturing | 40 |
| 1313 | General managers in construction | 56 |
| 1314 | General managers in wholesale and retail trade | 181 |
| 1315 | General managers of restaurants and hotels | 67 |
| 1316 | General managers in transport, storage and communications | 19 |
| 1317 | General managers of business services | 37 |
| 1318 | General managers in personal care, cleaning and related serv | 12 |
| 1319 | General managers not elsewhere classified | 123 |
| 2000 | PROFESSIONALS | 34 |
| 2100 | PHYSICAL, MATHEMATICAL AND ENGINEERING SCIENCE PROFESSIONALS | 27 |
| 2110 | PHYSICISTS, CHEMISTS AND RELATED PROFESSIONALS | 6 |
| 2111 | Physicists and astronomers | 3 |
| 2112 | Meteorologists | 0 |
| 2113 | Chemists | 13 |
| 2114 | Geologists and geophysicists | 5 |
| 2120 | MATHEMATICIANS, STATISTICIANS AND RELATED PROFESSIONALS | 1 |
| 2121 | Mathematicians and related professionals | 2 |
| 2122 | Statisticians | 2 |
| 2130 | COMPUTING PROFESSIONALS | 35 |
| 2131 | Computer systems designers and analysts | 97 |
| 2132 | Computer programmers | 41 |
| 2139 | Computing professionals not elsewhere classified | 18 |
| 2140 | ARCHITECTS, ENGINEERS AND RELATED PROFESSIONALS | 66 |
| 2141 | Architects, town and traffic planners | 68 |
| 2142 | Civil engineers | 96 |
| 2143 | Electrical engineers | 42 |
| 2144 | Electronics and telecommunications engineers | 23 |
| 2145 | Mechanical engineers | 63 |
| 2146 | Chemical engineers | 14 |
| 2147 | Mining engineers, metallurgists and related professionals | 9 |
| 2148 | Cartographers and surveyors | 17 |
| 2149 | Architects, engineers and related professionals not elsewher | 82 |
| 2200 | LIFE SCIENCE AND HEALTH PROFESSIONALS | 7 |
| 2210 | LIFE SCIENCE PROFESSIONALS | 5 |
| 2211 | Biologists, botanists, zoologists and related professionals | 21 |
| 2212 | Pharmacologists, pathologists and related professionals | 12 |
| 2213 | Agronomists and related professionals | 17 |
| 2220 | HEALTH PROFESSIONALS (except nursing) | 24 |
| 2221 | Medical doctors | 132 |
| 2222 | Dentists | 33 |
| 2223 | Veterinarians | 23 |
| 2224 | Pharmacists | 31 |
| 2229 | Health professionals (except nursing) not elsewhere classifi | 22 |
| 2230 | NURSING AND MIDWIFERY PROFESSIONALS | 136 |
| 2300 | TEACHING PROFESSIONALS | 59 |
| 2310 | COLLEGE, UNIVERSITY AND HIGHER EDUCATION TEACHING PROFESSION | 148 |
| 2320 | SECONDARY EDUCATION TEACHING PROFESSIONALS | 417 |
| 2330 | PRIMARY AND PRE-PRIMARY EDUCATION TEACHING PROFESSIONALS | 23 |
| 2331 | Primary education teaching professionals | 272 |
| 2332 | Pre-primary education teaching professionals | 72 |
| 2340 | SPECIAL EDUCATION TEACHING PROFESSIONALS | 24 |
| 2350 | OTHER TEACHING PROFESSIONALS | 39 |
| 2351 | Education methods specialists | 8 |
| 2352 | School inspectors | 5 |
| 2359 | Other teaching professionals not elsewhere classified | 29 |
| 2400 | OTHER PROFESSIONALS | 21 |
| 2410 | BUSINESS PROFESSIONALS | 41 |
| 2411 | Accountants | 191 |
| 2412 | Personnel and careers professionals | 24 |
| 2419 | Business professionals not elsewhere classified | 125 |
| 2420 | LEGAL PROFESSIONALS | 8 |
| 2421 | Lawyers | 60 |
| 2422 | Judges | 7 |
| 2429 | Legal professionals not elsewhere classified | 23 |
| 2430 | ARCHIVISTS, LIBRARIANS AND RELATED INFORMATION PROFESSIONALS | 10 |
| 2431 | Archivists and curators | 11 |
| 2432 | Librarians and related information professionals | 23 |
| 2440 | SOCIAL SCIENCE AND RELATED PROFESSIONALS | 14 |
| 2441 | Economists | 72 |
| 2442 | Sociologists, anthropologists and related professionals | 13 |
| 2443 | Philosophers, historians and political scientists | 3 |
| 2444 | Philologists, translators and interpreters | 6 |
| 2445 | Psychologists | 34 |
| 2446 | Social work professionals | 75 |
| 2450 | WRITERS AND CREATIVE OR PERFORMING ARTISTS | 15 |
| 2451 | Authors, journalists and other writers | 52 |
| 2452 | Sculptors, painters and related artists | 28 |
| 2453 | Composers, musicians and singers | 16 |
| 2454 | Choreographers and dancers | 1 |
| 2455 | Film, stage and related actors and directors | 22 |
| 2460 | RELIGIOUS PROFESSIONALS | 35 |
| 2470 | Public service administrative professions (ISCO_COM) | 24 |
| 3000 | TECHNICIANS AND ASSOCIATE PROFESSIONALS | 13 |
| 3100 | PHYSICAL AND ENGINEERING SCIENCE ASSOCIATE PROFESSIONALS | 12 |
| 3110 | PHYSICAL AND ENGINEERING SCIENCE TECHNICIANS | 66 |
| 3111 | Chemical and physical science technicians | 27 |
| 3112 | Civil engineering technicians | 53 |
| 3113 | Electrical engineering technicians | 41 |
| 3114 | Electronics and telecommunications engineering technicians | 43 |
| 3115 | Mechanical engineering technicians | 63 |
| 3116 | Chemical engineering technicians | 12 |
| 3117 | Mining and metallurgical technicians | 11 |
| 3118 | Draughtspersons | 25 |
| 3119 | Physical and engineering science technicians not elsewhere c | 100 |
| 3120 | COMPUTER ASSOCIATE PROFESSIONALS | 50 |
| 3121 | Computer assistants | 39 |
| 3122 | Computer equipment operators | 17 |
| 3123 | Industrial robot controllers | 1 |
| 3130 | OPTICAL AND ELECTRONIC EQUIPMENT OPERATORS | 7 |
| 3131 | Photographers and image and sound recording equipment operat | 34 |
| 3132 | Broadcasting and telecommunications equipment operators | 9 |
| 3133 | Medical equipment operators | 6 |
| 3139 | Optical and electronic equipment operators not elsewhere cla | 2 |
| 3140 | SHIP AND AIRCRAFT CONTROLLERS AND TECHNICIANS | 4 |
| 3141 | Ships' engineers | 16 |
| 3142 | Ships' deck officers and pilots | 20 |
| 3143 | Aircraft pilots and related associate professionals | 16 |
| 3144 | Air traffic controllers | 2 |
| 3145 | Air traffic safety technicians | 2 |
| 3150 | SAFETY AND QUALITY INSPECTORS | 3 |
| 3151 | Building and fire inspectors | 8 |
| 3152 | Safety, health and quality inspectors | 68 |
| 3200 | LIFE SCIENCE AND HEALTH ASSOCIATE PROFESSIONALS | 5 |
| 3210 | LIFE SCIENCE TECHNICIANS AND RELATED ASSOCIATE PROFESSIONALS | 16 |
| 3211 | Life science technicians | 33 |
| 3212 | Agronomy and forestry technicians | 12 |
| 3213 | Farming and forestry advisers | 3 |
| 3220 | MODERN HEALTH ASSOCIATE PROFESSIONALS (except nursing) | 26 |
| 3221 | Medical assistants | 46 |
| 3222 | Sanitarians | 10 |
| 3223 | Dieticians and nutritionists | 8 |
| 3224 | Optometrists and opticians | 3 |
| 3225 | Dental assistants | 13 |
| 3226 | Physiotherapists and related associate professionals | 47 |
| 3227 | Veterinary assistants | 5 |
| 3228 | Pharmaceutical assistants | 16 |
| 3229 | Modern health associate professionals (except nursing) not e | 26 |
| 3230 | NURSING AND MIDWIFERY ASSOCIATE PROFESSIONALS | 65 |
| 3231 | Nursing associate professionals | 240 |
| 3232 | Midwifery associate professionals | 7 |
| 3240 | TRADITIONAL MEDICINE PRACTITIONERS AND FAITH HEALERS | 1 |
| 3241 | Traditional medicine practitioners | 7 |
| 3242 | Faith healers | 1 |
| 3300 | TEACHING ASSOCIATE PROFESSIONALS | 8 |
| 3310 | PRIMARY EDUCATION TEACHING ASSOCIATE PROFESSIONALS | 135 |
| 3320 | PRE-PRIMARY EDUCATION TEACHING ASSOCIATE PROFESSIONALS | 105 |
| 3330 | SPECIAL EDUCATION TEACHING ASSOCIATE PROFESSIONALS | 9 |
| 3340 | OTHER TEACHING ASSOCIATE PROFESSIONALS | 78 |
| 3400 | OTHER ASSOCIATE PROFESSIONALS | 39 |
| 3410 | FINANCE AND SALES ASSOCIATE PROFESSIONALS | 96 |
| 3411 | Securities and finance dealers and brokers | 35 |
| 3412 | Insurance representatives | 78 |
| 3413 | Estate agents | 63 |
| 3414 | Travel consultants and organizers | 7 |
| 3415 | Technical and commercial sales representatives | 207 |
| 3416 | Buyers | 57 |
| 3417 | Appraisers, valuers and auctioneers | 9 |
| 3419 | Finance and sales associate professionals not elsewhere clas | 93 |
| 3420 | BUSINESS SERVICES AGENTS AND TRADE BROKERS | 16 |
| 3421 | Trade brokers | 52 |
| 3422 | Clearing and forwarding agents | 19 |
| 3423 | Employment agents and labour contractors | 11 |
| 3429 | Business services agents and trade brokers not elsewhere cla | 33 |
| 3430 | ADMINISTRATIVE ASSOCIATE PROFESSIONALS | 133 |
| 3431 | Administrative secretaries and related associate professiona | 116 |
| 3432 | Legal and related business associate professionals | 129 |
| 3433 | Bookkeepers | 92 |
| 3434 | Statistical, mathematical and related associate professional | 14 |
| 3439 | Administrative associate professionals not elsewhere classif | 128 |
| 3440 | CUSTOMS, TAX AND RELATED GOVERNMENT ASSOCIATE PROFESSIONALS | 29 |
| 3441 | Customs and border inspectors | 12 |
| 3442 | Government tax and excise officials | 18 |
| 3443 | Government social benefits officials | 14 |
| 3444 | Government licensing officials | 9 |
| 3449 | Customs, tax and related government associate professionals | 26 |
| 3450 | POLICE INSPECTORS AND DETECTIVES | 51 |
| 3460 | SOCIAL WORK ASSOCIATE PROFESSIONALS | 73 |
| 3470 | ARTISTIC, ENTERTAINMENT AND SPORTS ASSOCIATE PROFESSIONALS | 11 |
| 3471 | Decorators and commercial designers | 54 |
| 3472 | Radio, television and other announcers | 5 |
| 3473 | Street, night-club and related musicians, singers and dancer | 14 |
| 3474 | Clowns, magicians, acrobats and related associate profession | 3 |
| 3475 | Athletes, sportspersons and related associate professionals | 24 |
| 3480 | RELIGIOUS ASSOCIATE PROFESSIONALS | 8 |
| 4000 | CLERKS | 28 |
| 4100 | OFFICE CLERKS | 121 |
| 4110 | SECRETARIES AND KEYBOARD-OPERATING CLERKS | 212 |
| 4111 | Stenographers and typists | 42 |
| 4112 | Word-processor and related operators | 22 |
| 4113 | Data entry operators | 22 |
| 4114 | Calculating-machine operators | 21 |
| 4115 | Secretaries | 221 |
| 4120 | NUMERICAL CLERKS | 91 |
| 4121 | Accounting and bookkeeping clerks | 184 |
| 4122 | Statistical and finance clerks | 33 |
| 4130 | MATERIAL-RECORDING AND TRANSPORT CLERKS | 16 |
| 4131 | Stock clerks | 130 |
| 4132 | Production clerks | 49 |
| 4133 | Transport clerks | 52 |
| 4140 | LIBRARY, MAIL AND RELATED CLERKS | 19 |
| 4141 | Library and filing clerks | 15 |
| 4142 | Mail carriers and sorting clerks | 73 |
| 4143 | Coding, proof-reading and related clerks | 3 |
| 4144 | Scribes and related workers | 2 |
| 4190 | OTHER OFFICE CLERKS | 456 |
| 4200 | CUSTOMER SERVICES CLERKS | 31 |
| 4210 | CASHIERS, TELLERS AND RELATED CLERKS | 55 |
| 4211 | Cashiers and ticket clerks | 112 |
| 4212 | Tellers and other counter clerks | 59 |
| 4213 | Bookmakers and croupiers | 13 |
| 4214 | Pawnbrokers and money-lenders | 4 |
| 4215 | Debt-collectors and related workers | 11 |
| 4220 | CLIENT INFORMATION CLERKS | 17 |
| 4221 | Travel agency and related clerks | 14 |
| 4222 | Receptionists and information clerks | 61 |
| 4223 | Telephone switchboard operators | 21 |
| 5000 | SERVICE WORKERS AND SHOP AND MARKET SALES WORKERS | 12 |
| 5100 | PERSONAL AND PROTECTIVE SERVICES WORKERS | 17 |
| 5110 | TRAVEL ATTENDANTS AND RELATED WORKERS | 9 |
| 5111 | Travel attendants and travel stewards | 10 |
| 5112 | Transport conductors | 14 |
| 5113 | Travel guides | 6 |
| 5120 | HOUSEKEEPING AND RESTAURANT SERVICES WORKERS | 83 |
| 5121 | Housekeepers and related workers | 34 |
| 5122 | Cooks | 321 |
| 5123 | Waiters, waitresses and bartenders | 206 |
| 5130 | PERSONAL CARE AND RELATED WORKERS | 161 |
| 5131 | Child-care workers | 175 |
| 5132 | Institution-based personal care workers | 210 |
| 5133 | Home-based personal care workers | 62 |
| 5139 | Personal care and related workers not elsewhere classified | 23 |
| 5140 | OTHER PERSONAL SERVICES WORKERS | 117 |
| 5141 | Hairdressers, barbers, beauticians and related workers | 123 |
| 5142 | Companions and valets | 6 |
| 5143 | Undertakers and embalmers | 6 |
| 5149 | Other personal services workers not elsewhere classified | 92 |
| 5150 | ASTROLOGERS, FORTUNE-TELLERS AND RELATED WORKERS | 0 |
| 5151 | Astrologers and related workers | 0 |
| 5152 | Fortune-tellers, palmists and related workers | 1 |
| 5160 | PROTECTIVE SERVICES WORKERS | 23 |
| 5161 | Fire-fighters | 34 |
| 5162 | Police officers | 126 |
| 5163 | Prison guards | 19 |
| 5169 | Protective services workers not elsewhere classified | 149 |
| 5200 | MODELS, SALESPERSONS AND DEMONSTRATORS | 22 |
| 5210 | FASHION AND OTHER MODELS | 2 |
| 5220 | SHOP SALESPERSONS AND DEMONSTRATORS | 1134 |
| 5230 | STALL AND MARKET SALESPERSONS | 99 |
| 6000 | SKILLED AGRICULTURAL AND FISHERY WORKERS | 2 |
| 6100 | MARKET-ORIENTED SKILLED AGRICULTURAL AND FISHERY WORKERS | 97 |
| 6110 | MARKET GARDENERS AND CROP GROWERS | 34 |
| 6111 | Field crop and vegetable growers | 245 |
| 6112 | Tree and shrub crop growers | 91 |
| 6113 | Gardeners, horticultural and nursery growers | 50 |
| 6114 | Mixed-crop growers | 26 |
| 6120 | MARKET-ORIENTED ANIMAL PRODUCERS AND RELATED WORKERS | 8 |
| 6121 | Dairy and livestock producers | 78 |
| 6122 | Poultry producers | 7 |
| 6123 | Apiarists and sericulturists | 0 |
| 6124 | Mixed-animal producers | 4 |
| 6129 | Market-oriented animal producers and related workers not els | 11 |
| 6130 | MARKET-ORIENTED CROP AND ANIMAL PRODUCERS | 117 |
| 6140 | FORESTRY AND RELATED WORKERS | 5 |
| 6141 | Forestry workers and loggers | 28 |
| 6142 | Charcoal burners and related workers | 8 |
| 6150 | FISHERY WORKERS, HUNTERS AND TRAPPERS | 17 |
| 6151 | Aquatic-life cultivation workers | 17 |
| 6152 | Inland and coastal waters fishery workers | 19 |
| 6153 | Deep-sea fishery workers | 14 |
| 6154 | Hunters and trappers | 0 |
| 6200 | SUBSISTENCE AGRICULTURAL AND FISHERY WORKERS | 0 |
| 6210 | SUBSISTENCE AGRICULTURAL AND FISHERY WORKERS | 8 |
| 7000 | CRAFT AND RELATED TRADES WORKERS | 140 |
| 7100 | EXTRACTION AND BUILDING TRADES WORKERS | 14 |
| 7110 | MINERS, SHOTFIRERS, STONE CUTTERS AND CARVERS | 11 |
| 7111 | Miners and quarry workers | 57 |
| 7112 | Shotfirers and blasters | 2 |
| 7113 | Stone splitters, cutters and carvers | 6 |
| 7120 | BUILDING FRAME AND RELATED TRADES WORKERS | 48 |
| 7121 | Builders, traditional materials | 86 |
| 7122 | Bricklayers and stonemasons | 215 |
| 7123 | Concrete placers, concrete finishers and related workers | 20 |
| 7124 | Carpenters and joiners | 172 |
| 7129 | Building frame and related trades workers not elsewhere clas | 80 |
| 7130 | BUILDING FINISHERS AND RELATED TRADES WORKERS | 33 |
| 7131 | Roofers | 14 |
| 7132 | Floor layers and tile setters | 15 |
| 7133 | Plasterers | 28 |
| 7134 | Insulation workers | 5 |
| 7135 | Glaziers | 11 |
| 7136 | Plumbers and pipe fitters | 121 |
| 7137 | Building and related electricians | 143 |
| 7140 | PAINTERS, BUILDING STRUCTURE CLEANERS AND RELATED TRADES WOR | 14 |
| 7141 | Painters and related workers | 84 |
| 7142 | Varnishers and related painters | 21 |
| 7143 | Building structure cleaners | 9 |
| 7200 | METAL, MACHINERY AND RELATED TRADES WORKERS | 24 |
| 7210 | METAL MOULDERS, WELDERS, SHEET-METAL WORKERS, STRUCTURAL- ME | 24 |
| 7211 | Metal moulders and coremakers | 12 |
| 7212 | Welders and flamecutters | 136 |
| 7213 | Sheet metal workers | 30 |
| 7214 | Structural-metal preparers and erectors | 36 |
| 7215 | Riggers and cable splicers | 3 |
| 7216 | Underwater workers | 0 |
| 7220 | BLACKSMITHS, TOOL-MAKERS AND RELATED TRADES WORKERS | 21 |
| 7221 | Blacksmiths, hammer-smiths and forging-press workers | 26 |
| 7222 | Tool-makers and related workers | 74 |
| 7223 | Machine-tool setters and setter-operators | 51 |
| 7224 | Metal wheel-grinders, polishers and tool sharpeners | 14 |
| 7230 | MACHINERY MECHANICS AND FITTERS | 58 |
| 7231 | Motor vehicle mechanics and fitters | 270 |
| 7232 | Aircraft engine mechanics and fitters | 5 |
| 7233 | Agricultural- or industrial-machinery mechanics and fitters | 94 |
| 7240 | ELECTRICAL AND ELECTRONIC EQUIPMENT MECHANICS AND FITTERS | 19 |
| 7241 | Electrical mechanics and fitters | 112 |
| 7242 | Electronics fitters | 23 |
| 7243 | Electronics mechanics and servicers | 16 |
| 7244 | Telegraph and telephone installers and servicers | 25 |
| 7245 | Electrical line installers, repairers and cable jointers | 33 |
| 7300 | PRECISION, HANDICRAFT, PRINTING AND RELATED TRADES WORKERS | 4 |
| 7310 | PRECISION WORKERS IN METAL AND RELATED MATERIALS | 8 |
| 7311 | Precision-instrument makers and repairers | 19 |
| 7312 | Musical instrument makers and tuners | 3 |
| 7313 | Jewellery and precious-metal workers | 14 |
| 7320 | POTTERS, GLASS-MAKERS AND RELATED TRADES WORKERS | 1 |
| 7321 | Abrasive wheel formers, potters and related workers | 3 |
| 7322 | Glass makers, cutters, grinders and finishers | 6 |
| 7323 | Glass engravers and etchers | 2 |
| 7324 | Glass, ceramics and related decorative painters | 4 |
| 7330 | HANDICRAFT WORKERS IN WOOD,TEXTILE, LEATHER AND RELATED MATE | 10 |
| 7331 | Handicraft workers in wood and related materials | 26 |
| 7332 | Handicraft workers in textile, leather and related materials | 14 |
| 7340 | PRINTING AND RELATED TRADES WORKERS | 8 |
| 7341 | Compositors, typesetters and related workers | 21 |
| 7342 | Stereotypers and electrotypers | 3 |
| 7343 | Printing engravers and etchers | 6 |
| 7344 | Photographic and related workers | 9 |
| 7345 | Bookbinders and related workers | 1 |
| 7346 | Silk-screen, block and textile printers | 9 |
| 7400 | OTHER CRAFT AND RELATED TRADES WORKERS | 12 |
| 7410 | FOOD PROCESSING AND RELATED TRADES WORKERS | 27 |
| 7411 | Butchers, fishmongers and related food preparers | 51 |
| 7412 | Bakers, pastry-cooks and confectionery makers | 91 |
| 7413 | Dairy-products makers | 13 |
| 7414 | Fruit, vegetable and related preservers | 2 |
| 7415 | Food and beverage tasters and graders | 2 |
| 7416 | Tobacco preparers and tobacco products makers | 4 |
| 7420 | WOOD TREATERS, CABINET-MAKERS AND RELATED TRADES WORKERS | 12 |
| 7421 | Wood treaters | 6 |
| 7422 | Cabinet makers and related workers | 54 |
| 7423 | Woodworking machine setters and setter-operators | 5 |
| 7424 | Basketry weavers, brush makers and related workers | 7 |
| 7430 | TEXTILE, GARMENT AND RELATED TRADES WORKERS | 42 |
| 7431 | Fibre preparers | 2 |
| 7432 | Weavers, knitters and related workers | 49 |
| 7433 | Tailors, dressmakers and hatters | 84 |
| 7434 | Furriers and related workers | 1 |
| 7435 | Textile, leather and related pattern-makers and cutters | 23 |
| 7436 | Sewers, embroiderers and related workers | 57 |
| 7437 | Upholsterers and related workers | 18 |
| 7440 | PELT, LEATHER AND SHOEMAKING TRADES WORKERS | 4 |
| 7441 | Pelt dressers, tanners and fellmongers | 4 |
| 7442 | Shoe-makers and related workers | 28 |
| 7500 | Metal worker general | 4 |
| 7510 | Metal worker not elsewhere classified | 25 |
| 7520 | Electronics engineers not elsewhere classified | 18 |
| 7900 | Master craftsman, supervisor | 10 |
| 8000 | PLANT AND MACHINE OPERATORS AND ASSEMBLERS | 41 |
| 8100 | STATIONARY-PLANT AND RELATED OPERATORS | 9 |
| 8110 | MINING- AND MINERAL-PROCESSING-PLANT OPERATORS | 0 |
| 8111 | Mining-plant operators | 9 |
| 8112 | Mineral-ore- and stone-processing-plant operators | 2 |
| 8113 | Well drillers and borers and related workers | 7 |
| 8120 | METAL-PROCESSING-PLANT OPERATORS | 4 |
| 8121 | Ore and metal furnace operators | 12 |
| 8122 | Metal melters, casters and rolling-mill operators | 11 |
| 8123 | Metal-heat-treating-plant operators | 2 |
| 8124 | Metal drawers and extruders | 8 |
| 8130 | GLASS, CERAMICS AND RELATED PLANT OPERATORS | 1 |
| 8131 | Glass and ceramics kiln and related machine operators | 11 |
| 8139 | Glass, ceramics and related plant operators not elsewhere cl | 3 |
| 8140 | WOOD-PROCESSING- AND PAPERMAKING-PLANT OPERATORS | 8 |
| 8141 | Wood-processing-plant operators | 25 |
| 8142 | Paper-pulp plant operators | 5 |
| 8143 | Papermaking-plant operators | 13 |
| 8150 | CHEMICAL-PROCESSING-PLANT OPERATORS | 13 |
| 8151 | Crushing-, grinding- and chemical-mixing-machinery operators | 2 |
| 8152 | Chemical-heat-treating-plant operators | 0 |
| 8153 | Chemical-filtering- and separating-equipment operators | 2 |
| 8154 | Chemical-still and reactor operators (except petroleum and n | 1 |
| 8155 | Petroleum- and natural-gas-refining-plant operators | 0 |
| 8159 | Chemical-processing-plant operators not elsewhere classified | 11 |
| 8160 | POWER-PRODUCTION AND RELATED PLANT OPERATORS | 5 |
| 8161 | Power-production plant operators | 3 |
| 8162 | Steam-engine and boiler operators | 13 |
| 8163 | Incinerator, water-treatment and related plant operators | 9 |
| 8170 | AUTOMATED-ASSEMBLY-LINE AND INDUSTRIAL-ROBOT OPERATORS | 6 |
| 8171 | Automated-assembly-line operators | 29 |
| 8172 | Industrial-robot operators | 4 |
| 8200 | MACHINE OPERATORS AND ASSEMBLERS | 14 |
| 8210 | METAL- AND MINERAL-PRODUCTS MACHINE OPERATORS | 18 |
| 8211 | Machine-tool operators | 60 |
| 8212 | Cement and other mineral products machine operators | 8 |
| 8220 | CHEMICAL-PRODUCTS MACHINE OPERATORS | 4 |
| 8221 | Pharmaceutical- and toiletry-products machine operators | 7 |
| 8222 | Ammunition- and explosive-products machine operators | 2 |
| 8223 | Metal finishing-, plating- and coating-machine operators | 7 |
| 8224 | Photographic-products machine operators | 0 |
| 8229 | Chemical-products machine operators not elsewhere classified | 8 |
| 8230 | RUBBER- AND PLASTIC-PRODUCTS MACHINE OPERATORS | 3 |
| 8231 | Rubber-products machine operators | 7 |
| 8232 | Plastic-products machine operators | 27 |
| 8240 | WOOD-PRODUCTS MACHINE OPERATORS | 15 |
| 8250 | PRINTING-, BINDING- AND PAPER-PRODUCTS MACHINE OPERATORS | 10 |
| 8251 | Printing-machine operators | 16 |
| 8252 | Bookbinding-machine operators | 3 |
| 8253 | Paper-products machine operators | 5 |
| 8260 | TEXTILE-, FUR- AND LEATHER-PRODUCTS MACHINE OPERATORS | 21 |
| 8261 | Fibre-preparing-, spinning- and winding-machine operators | 8 |
| 8262 | Weaving- and knitting-machine operators | 15 |
| 8263 | Sewing-machine operators | 60 |
| 8264 | Bleaching-, dyeing- and cleaning-machine operators | 9 |
| 8265 | Fur and leather-preparing-machine operators | 3 |
| 8266 | Shoemaking- and related machine operators | 12 |
| 8269 | Textile-, fur- and leather-products machine operators not el | 11 |
| 8270 | FOOD AND RELATED PRODUCTS MACHINE OPERATORS | 14 |
| 8271 | Meat- and fish-processing-machine operators | 27 |
| 8272 | Dairy-products machine operators | 3 |
| 8273 | Grain- and spice-milling-machine operators | 3 |
| 8274 | Baked-goods, cereal and chocolate-products machine operators | 16 |
| 8275 | Fruit-, vegetable- and nut-processing-machine operators | 3 |
| 8276 | Sugar production machine operators | 0 |
| 8277 | Tea-, coffee-, and cocoa-processing-machine operators | 1 |
| 8278 | Brewers, wine and other beverage machine operators | 5 |
| 8279 | Tobacco production machine operators | 1 |
| 8280 | ASSEMBLERS | 45 |
| 8281 | Mechanical-machinery assemblers | 22 |
| 8282 | Electrical-equipment assemblers | 15 |
| 8283 | Electronic-equipment assemblers | 13 |
| 8284 | Metal-, rubber- and plastic-products assemblers | 15 |
| 8285 | Wood and related products assemblers | 2 |
| 8286 | Paperboard, textile and related products assemblers | 2 |
| 8290 | OTHER MACHINE OPERATORS AND ASSEMBLERS | 78 |
| 8300 | DRIVERS AND MOBILE-PLANT OPERATORS | 8 |
| 8310 | LOCOMOTIVE-ENGINE DRIVERS AND RELATED WORKERS | 28 |
| 8311 | Locomotive-engine drivers | 27 |
| 8312 | Railway brakers, signallers and shunters | 17 |
| 8320 | MOTOR-VEHICLE DRIVERS | 147 |
| 8321 | Motor-cycle drivers | 54 |
| 8322 | Car, taxi and van drivers | 296 |
| 8323 | Bus and tram drivers | 158 |
| 8324 | Heavy-truck and lorry drivers | 326 |
| 8330 | AGRICULTURAL AND OTHER MOBILE-PLANT OPERATORS | 16 |
| 8331 | Motorised farm and forestry plant operators | 77 |
| 8332 | Earth-moving- and related plant operators | 65 |
| 8333 | Crane, hoist and related plant operators | 44 |
| 8334 | Lifting-truck operators | 34 |
| 8340 | SHIPS' DECK CREWS AND RELATED WORKERS | 24 |
| 9000 | ELEMENTARY OCCUPATIONS | 35 |
| 9100 | SALES AND SERVICES ELEMENTARY OCCUPATIONS | 30 |
| 9110 | STREET VENDORS AND RELATED WORKERS | 2 |
| 9111 | Street food vendors | 77 |
| 9112 | Street vendors, non-food products | 30 |
| 9113 | Door-to-door and telephone salespersons | 31 |
| 9120 | SHOE CLEANING AND OTHER STREET SERVICES ELEMENTARY OCCUPATIO | 4 |
| 9130 | DOMESTIC AND RELATED HELPERS, CLEANERS AND LAUNDERERS | 106 |
| 9131 | Domestic helpers and cleaners | 296 |
| 9132 | Helpers and cleaners in offices, hotels and other establishm | 280 |
| 9133 | Hand-launderers and pressers | 20 |
| 9140 | BUILDING CARETAKERS, WINDOW AND RELATED CLEANERS | 25 |
| 9141 | Building caretakers | 117 |
| 9142 | Vehicle, window and related cleaners | 12 |
| 9150 | MESSENGERS, PORTERS, DOORKEEPERS AND RELATED WORKERS | 7 |
| 9151 | Messengers, package and luggage porters and deliverers | 51 |
| 9152 | Doorkeepers, watchpersons and related workers | 63 |
| 9153 | Vending-machine money collectors, meter readers and related | 6 |
| 9160 | GARBAGE COLLECTORS AND RELATED LABOURERS | 7 |
| 9161 | Garbage collectors | 20 |
| 9162 | Sweepers and related labourers | 49 |
| 9200 | AGRICULTURAL, FISHERY AND RELATED LABOURERS | 7 |
| 9210 | AGRICULTURAL, FISHERY AND RELATED LABOURERS | 9 |
| 9211 | Farm-hands and labourers | 290 |
| 9212 | Forestry labourers | 27 |
| 9213 | Fishery, hunting and trapping labourers | 1 |
| 9300 | LABOURERS IN MINING, CONSTRUCTION, MANUFACTURING AND TRANSPO | 20 |
| 9310 | MINING AND CONSTRUCTION LABOURERS | 27 |
| 9311 | Mining and quarrying labourers | 7 |
| 9312 | Construction and maintenance labourers: roads, dams and simi | 68 |
| 9313 | Building construction labourers | 150 |
| 9320 | MANUFACTURING LABOURERS | 107 |
| 9321 | Assembling labourers | 29 |
| 9322 | Hand packers and other manufacturing labourers | 107 |
| 9330 | TRANSPORT LABOURERS AND FREIGHT HANDLERS | 46 |
| 9331 | Hand or pedal vehicle drivers | 9 |
| 9332 | Drivers of animal-drawn vehicles and machinery | 4 |
| 9333 | Freight handlers | 57 |
| 0 | NAP (Code 3, 0 in SPWORK), JP: code 3 in PARTLIV, code 2-9 i | 19499 |
| 9995 | CH: not asked for spouse/partner living apart | 60 |
| 9997 | Refused | 72 |
| 9998 | Don't know, not classifiable, inadequately described | 439 |
| 9999 | No answer | 2242 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 22887 | 22312 |
Valid range from 110 to 9333
SPMAINST Spouse, partner: Main status
| Value 121211 | Frequency | |
|---|---|---|
| 1 | In paid work | 16524 |
| 2 | Unemployed and looking for a job | 1398 |
| 3 | In education | 830 |
| 4 | Apprentice or trainee | 50 |
| 5 | Permanently sick or disabled | 523 |
| 6 | Retired | 5223 |
| 7 | Domestic work | 3154 |
| 8 | In compulsory military service or community service | 76 |
| 9 | Other | 583 |
| 0 | NAP (Code 3 in PARTLIV, CH: code 3,5 in Partliv); GB: not ma | 15602 |
| 99 | No answer | 1236 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 28361 | 16838 | 1 | 9 |
Valid range from 1 to 9
UNION Trade union membership
| Value 122210 | Frequency | |
|---|---|---|
| 1 | Yes, currently, FR: yes, currently or previously | 8165 |
| 2 | Yes, previously, but not currently | 8091 |
| 3 | No, never, US: no | 25157 |
| 0 | NAP (never had a paid job, not in labour force, KR: code 2,3 | 2251 |
| 7 | Refused | 188 |
| 9 | No answer | 1347 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41413 | 3786 | 1 | 3 |
Valid range from 1 to 3
AR_RELIG Country specific religious affiliation or denomination: Argentina
| Value 123209 | Frequency | |
|---|---|---|
| 0 | No religion | 156 |
| 100 | Roman Catholic | 864 |
| 200 | Protestant | 4 |
| 220 | Baptist | 2 |
| 250 | Lutheran, evangelical church | 37 |
| 270 | Pentecostal | 19 |
| 282 | Jehovas Witnesses | 7 |
| 284 | New Apostolic | 1 |
| 290 | Other Protestant | 3 |
| 292 | Mormon | 1 |
| 294 | Assemblies of God | 4 |
| 295 | Seventh Day Adentists | 2 |
| 390 | Orthodox | 1 |
| 407 | Christians | 7 |
| 500 | Jewish | 2 |
| 600 | Islam | 1 |
| 700 | Buddhists | 3 |
| 963 | Afro Brazilian religion | 2 |
| 990 | NAP, other countries | 44069 |
| 997 | Refused | 14 |
| 999 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1116 | 44083 | 0 | 963 |
Valid range from 0 to 963
AT_RELIG Country specific religious affiliation or denomination: Austria
| Value 124208 | Frequency | |
|---|---|---|
| 0 | No religion | 157 |
| 1 | Catholic | 691 |
| 2 | Lutheran | 56 |
| 3 | Protestant free church | 5 |
| 4 | Orthodox | 23 |
| 5 | Other Christians | 26 |
| 6 | Islamic | 16 |
| 7 | Other Non-Christians | 9 |
| 990 | NAP, other countries | 44180 |
| 999 | No answer | 36 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 983 | 44216 | 0 | 7 |
Valid range from 0 to 7
BE_RELIG Country specific religious affiliation or denomination: Belgium/ Flanders (BE_FLA)
| Value 125207 | Frequency | |
|---|---|---|
| 0 | No religion | 293 |
| 1 | Roman Catholic | 564 |
| 2 | Protestant | 5 |
| 4 | Other Protestant groups | 231 |
| 5 | Jewish | 1 |
| 6 | Islamic | 25 |
| 10 | Other religions | 20 |
| 990 | NAP, other countries | 44057 |
| 999 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1139 | 44060 | 0 | 10 |
Valid range from 0 to 10
BG_RELIG Country specific religious affiliation or denomination: Bulgaria
| Value 126206 | Frequency | |
|---|---|---|
| 0 | No religion | 76 |
| 200 | Protestant | 8 |
| 300 | Orthodox | 811 |
| 690 | Islamic | 107 |
| 990 | NAP, other countries | 44196 |
| 999 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1002 | 44197 | 0 | 690 |
Valid range from 0 to 690
CA_RELIG Country specific religious affiliation or denomination: Canada
| Value 127205 | Frequency | |
|---|---|---|
| 0 | No religion | 181 |
| 10 | Catholic | 271 |
| 11 | Greek Catholic | 2 |
| 20 | Jewish | 5 |
| 30 | Muslim | 2 |
| 33 | Mennonite | 6 |
| 35 | Jehovas Witness | 2 |
| 37 | Church of God | 1 |
| 38 | Reform | 1 |
| 40 | Baptist | 14 |
| 42 | Lutheran/ evangelical | 14 |
| 43 | Presbyterian | 11 |
| 44 | Anglican/ Church of England | 34 |
| 47 | Unitarians | 1 |
| 48 | Protestant/ evangelical | 6 |
| 49 | Protestant not elsewhere classified | 28 |
| 51 | Hindu | 1 |
| 52 | Buddhist | 1 |
| 53 | Sikh | 1 |
| 55 | United Church | 42 |
| 62 | Pentecostal | 6 |
| 63 | Momon | 1 |
| 64 | Salvation Army | 8 |
| 65 | Seventh Day Adventists | 1 |
| 92 | Other Religion | 15 |
| 94 | Other Christian | 62 |
| 990 | NAP, other countries | 44214 |
| 997 | Refused | 1 |
| 998 | Don't know | 10 |
| 999 | No answer | 257 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 717 | 44482 |
Valid range from 0 to 94
CH_RELIG Country specific religious affiliation or denomination: Switzerland
| Value 128204 | Frequency | |
|---|---|---|
| 0 | No religion | 206 |
| 100 | Roman Catholic | 447 |
| 200 | Protestant | 364 |
| 290 | Other Protestant (no specific religion mentioned | 35 |
| 300 | Orthodox | 13 |
| 400 | Other Christian Religions | 46 |
| 500 | Jewish | 4 |
| 600 | Islam | 60 |
| 700 | Buddhism | 8 |
| 800 | Hinduism | 3 |
| 970 | Other non-Christian Religions | 2 |
| 990 | NAP, other countries | 43987 |
| 997 | Refused | 7 |
| 999 | No answer | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1188 | 44011 |
Valid range from 0 to 970
CL_RELIG Country specific religious affiliation or denomination: Chile
| Value 129203 | Frequency | |
|---|---|---|
| 1 | Catholic | 938 |
| 2 | Evangelical | 246 |
| 3 | Jehova Witness | 22 |
| 4 | Jewish | 1 |
| 5 | Mormon | 6 |
| 8 | Other | 27 |
| 9 | None | 161 |
| 10 | Atheist | 9 |
| 11 | Agnostic | 15 |
| 990 | NAP, other countries | 43763 |
| 999 | No answer | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1425 | 43774 |
Valid range from 1 to 11
CZ_RELIG Country specific religious affiliation or denomination: Czech Republic
| Value 130202 | Frequency | |
|---|---|---|
| 0 | No religion | 897 |
| 1 | Roman Catholic | 425 |
| 2 | Czech-Brethren Evangelical Church | 30 |
| 3 | Czechoslovak Hussite | 17 |
| 4 | Other Christians | 18 |
| 5 | Other Non-Christians | 3 |
| 990 | NAP, other countries | 43771 |
| 997 | Refused | 0 |
| 999 | No answer | 38 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1390 | 43809 | 0 | 5 |
Valid range from 0 to 5
DE_RELIG Country specific religious affiliation or denomination: Germany
| Value 131201 | Frequency | |
|---|---|---|
| 0 | No religion | 448 |
| 1 | Roman Catholic | 445 |
| 2 | German Protestant Church | 428 |
| 3 | Protestant Free Church | 15 |
| 4 | Other Christian denomination | 26 |
| 5 | Islamic Religion | 30 |
| 7 | Buddhist Religion | 2 |
| 8 | Hindu Religion | 2 |
| 10 | Other Non-Christian Religions | 4 |
| 990 | NAP, other countries | 43792 |
| 997 | Refused | 5 |
| 999 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1400 | 43799 |
Valid range from 0 to 10
DK_RELIG Country specific religious affiliation or denomination: Denmark
| Value 132200 | Frequency | |
|---|---|---|
| 0 | No religion | 169 |
| 100 | Roman Catholic | 8 |
| 250 | Lutheran | 1019 |
| 500 | Jewish | 2 |
| 600 | Islam | 4 |
| 960 | Other religions | 18 |
| 990 | NAP, other countries | 43894 |
| 998 | Don't know | 12 |
| 999 | No answer | 73 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1220 | 43979 |
Valid range from 0 to 960
ES_RELIG Country specific religious affiliation or denomination: Spain
| Value 133199 | Frequency | |
|---|---|---|
| 0 | No religion | 455 |
| 100 | Roman Catholic | 1937 |
| 200 | Protestant | 8 |
| 220 | Baptist | 1 |
| 250 | Lutheran | 2 |
| 282 | Jehovas witnesses | 7 |
| 290 | Other Protestants | 9 |
| 390 | Orthodox | 12 |
| 400 | Other christian | 6 |
| 600 | Islam | 39 |
| 700 | Buddhist | 2 |
| 960 | Other religions | 8 |
| 990 | NAP, other countries | 42639 |
| 999 | No answer | 74 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2486 | 42713 |
Valid range from 0 to 960
FI_RELIG Country specific religious affiliation or denomination: Finland
| Value 134198 | Frequency | |
|---|---|---|
| 0 | No religion | 223 |
| 1 | The Evangelical Lutheran Church of Finland | 922 |
| 2 | Finnish Orthodox Church | 18 |
| 3 | Catholic Church fo Finland | 5 |
| 4 | Other Christian Church or denomination | 27 |
| 6 | Islam/ Muslim | 4 |
| 7 | Buddhist | 3 |
| 10 | Other religious denomination | 3 |
| 990 | NAP, other countries | 43988 |
| 999 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1205 | 43994 |
Valid range from 0 to 10
FR_RELIG Country specific religious affiliation or denomination: France
| Value 135197 | Frequency | |
|---|---|---|
| 0 | No religion | 833 |
| 1 | Catholic | 1258 |
| 2 | Jewish | 8 |
| 3 | Islam | 7 |
| 4 | orthodox | 7 |
| 5 | Protestant | 50 |
| 6 | Other Religions | 14 |
| 990 | NAP, other countries | 42946 |
| 998 | Don't know | 10 |
| 999 | No answer | 66 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2177 | 43022 |
Valid range from 0 to 6
GB_RELIG Country specific religious affiliation or denomination: Great Britain (GB-GBN)
| Value 136196 | Frequency | |
|---|---|---|
| 0 | No religion | 482 |
| 2 | Christian - no denomination | 72 |
| 3 | Roman Catholic | 84 |
| 4 | Church of England/ Anglican | 200 |
| 5 | Baptist | 7 |
| 6 | Methodist | 15 |
| 7 | Presbyterian/ Church of Scotland | 24 |
| 8 | Other Christian | 7 |
| 9 | Hindu | 6 |
| 10 | Jewish | 3 |
| 11 | Islam/ Muslim | 12 |
| 12 | Sikh | 1 |
| 13 | Buddhist | 4 |
| 14 | Other non-Christian | 1 |
| 23 | United Reform Church (URC)/ Congregational | 2 |
| 27 | Other Protestant | 6 |
| 990 | NAP, other countries | 44271 |
| 997 | Refused | 1 |
| 999 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 926 | 44273 | 0 | 27 |
Valid range from 0 to 27
HR_RELIG Country specific religious affiliation or denomination: Croatia
| Value 137195 | Frequency | |
|---|---|---|
| 0 | No religion | 47 |
| 1 | Roman Catholic | 1060 |
| 2 | Christian Orthodox | 47 |
| 3 | Islamic | 13 |
| 4 | Jewsih | 1 |
| 6 | Other Religions | 2 |
| 990 | NAP, other countries | 43989 |
| 997 | Refused | 38 |
| 999 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1170 | 44029 | 0 | 6 |
Valid range from 0 to 6
IL_RELIG Country specific religious affiliation or denomination: Israel
| Value 138194 | Frequency | |
|---|---|---|
| 0 | No religion | 9 |
| 1 | Roman Catholic | 37 |
| 3 | Christian Orthodox | 1 |
| 4 | Other Christian | 4 |
| 5 | Jewish | 988 |
| 6 | Islamic | 153 |
| 10 | Other Religions | 2 |
| 11 | Druse | 13 |
| 990 | NAP, other countries | 43983 |
| 997 | Refused | 4 |
| 999 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1207 | 43992 |
Valid range from 0 to 11
JP_RELIG Country specific religious affiliation or denomination: Japan
| Value 139193 | Frequency | |
|---|---|---|
| 0 | No religion | 844 |
| 4 | Other Christian | 15 |
| 7 | Buddhist | 385 |
| 10 | Other Religions | 21 |
| 11 | Shintoism | 26 |
| 990 | NAP, other countries | 43892 |
| 999 | No answer | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1291 | 43908 |
Valid range from 0 to 11
KR_RELIG Country specific religious affiliation or denomination: Korea (South)
| Value 140192 | Frequency | |
|---|---|---|
| 0 | No religion | 682 |
| 1 | Buddhist | 381 |
| 2 | Protestant | 378 |
| 3 | Catholic | 119 |
| 4 | Won-Buddhism | 1 |
| 5 | Soka Gakkei International | 3 |
| 8 | Folk Religion, Shamanism | 1 |
| 10 | Daesunjillihoe | 1 |
| 12 | Chollikyo | 1 |
| 13 | Other Asian Religions | 9 |
| 990 | NAP, other countries | 43623 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1576 | 43623 | 0 | 13 |
Valid range from 0 to 13
LT_RELIG Country specific religious affiliation or denomination: Lithuania
| Value 141191 | Frequency | |
|---|---|---|
| 0 | No religion | 71 |
| 1 | Catholic | 868 |
| 2 | Protestant | 13 |
| 3 | Orthodox | 8 |
| 4 | Other Christain | 18 |
| 6 | Islamic | 1 |
| 7 | Buddhist | 1 |
| 10 | Other Religions | 19 |
| 990 | NAP, other countries | 44176 |
| 997 | Refused | 24 |
| 999 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 999 | 44200 |
Valid range from 0 to 10
LV_RELIG Country specific religious affiliation or denomination: Latvia
| Value 142190 | Frequency | |
|---|---|---|
| 0 | No religion | 253 |
| 100 | Roman Catholic | 229 |
| 220 | Baptist | 9 |
| 250 | Lutheran, evangelical church | 173 |
| 290 | Other Protestant, no specific denomination | 6 |
| 320 | Russian Orthodox | 207 |
| 325 | Old believers | 30 |
| 400 | Other Christian Groups | 9 |
| 500 | Jewish | 1 |
| 600 | Islam | 1 |
| 700 | Buddhists | 1 |
| 900 | Other Asian Religions | 1 |
| 960 | Other Religions | 7 |
| 990 | NAP, other countries | 44199 |
| 997 | Refused | 28 |
| 998 | Can't say | 45 |
| 999 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 927 | 44272 | 0 | 960 |
Valid range from 0 to 960
MX_RELIG Country specific religious affiliation or denomination: Mexico
| Value 143189 | Frequency | |
|---|---|---|
| 0 | No religion | 91 |
| 100 | Roman Catholic | 1353 |
| 220 | Baptist | 18 |
| 241 | Mennonite | 1 |
| 260 | Methodist | 5 |
| 270 | Pentecostal | 24 |
| 271 | Full Gospel Church of God | 1 |
| 272 | Apostolic Faith Mission | 4 |
| 273 | Intern Pentecostal Holiness | 3 |
| 274 | St. Johanes Apostolic Faith Mission | 1 |
| 275 | Nazareth Baptist Church | 1 |
| 276 | Zion Christian Church | 2 |
| 280 | Presbyterian Church of Scotland | 1 |
| 281 | Free Presbyterian | 2 |
| 282 | Jehovas Witnesses | 22 |
| 283 | Church of Christ | 1 |
| 285 | LDS Church, Apostle Twelve | 1 |
| 287 | Church of God | 3 |
| 292 | Mormon | 4 |
| 294 | Assemblies of God | 1 |
| 295 | Seventh Day Adventists | 2 |
| 299 | Uinted Chruch fo Christ | 1 |
| 320 | Russian Orthodox | 1 |
| 400 | Other Christian Religion | 1 |
| 407 | Christians | 29 |
| 510 | Orthodox Jewish | 3 |
| 701 | Specific Buddhist Groups | 1 |
| 790 | Buddhism general | 1 |
| 990 | NAP, other countries | 43562 |
| 999 | No answer | 59 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1578 | 43621 | 0 | 790 |
Valid range from 0 to 790
NO_RELIG Country specific religious affiliation or denomination: Norway
| Value 144188 | Frequency | |
|---|---|---|
| 1 | Church of Norway (State Chruch) | 1014 |
| 2 | Pentecostal | 12 |
| 3 | Other Protestant Denomination | 29 |
| 4 | Roman Catholic | 9 |
| 5 | Orthodox (Greek, Russian, others) | 7 |
| 6 | Other Christian Denomination | 11 |
| 7 | Jewish | 1 |
| 8 | Islam | 14 |
| 9 | Buddhism | 3 |
| 11 | Other Eastern Religion | 1 |
| 12 | Other Religion | 2 |
| 13 | Other life stance organisation, for example the Norwegian Hu | 55 |
| 14 | No denomination or life stance organisation | 208 |
| 990 | NAP, other countries | 43817 |
| 997 | Refused | 0 |
| 999 | No answer | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1366 | 43833 |
Valid range from 1 to 14
NZ_RELIG Country specific religious affiliation or denomination: New Zealand
| Value 145187 | Frequency | |
|---|---|---|
| 0 | No religion | 383 |
| 100 | Roman Catholic | 157 |
| 200 | Protestant | 10 |
| 210 | Episcopalian, Anglican, Church of England, Church of Ireland | 199 |
| 220 | Baptists | 11 |
| 250 | Lutheran | 2 |
| 260 | Methodist | 26 |
| 270 | Pentecostal | 14 |
| 280 | Presbyterian | 109 |
| 282 | Jehovas Witnesses | 6 |
| 291 | Brethren | 10 |
| 292 | Mormon | 7 |
| 293 | Salvation Army | 9 |
| 294 | Assemblies of God | 2 |
| 295 | Seventh Day Adventists | 0 |
| 390 | Orthodox (no specific religion mentioned) | 2 |
| 400 | Other Christian religions | 108 |
| 500 | Jewish | 1 |
| 690 | Muslim; Mohammedan; Islam (no specific religion mentioned) | 6 |
| 700 | Buddhism | 11 |
| 890 | Hinduism general (no specific group mentioned) | 13 |
| 960 | Other religions | 40 |
| 961 | Ratana | 11 |
| 990 | NAP, other countries | 44027 |
| 999 | No answer | 35 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1137 | 44062 |
Valid range from 0 to 961
PH_RELIG Country specific religious affiliation or denomination: Philippines
| Value 146186 | Frequency | |
|---|---|---|
| 0 | No religion | 3 |
| 1 | Roman Catholic | 1011 |
| 2 | Iglesia ni Christo | 22 |
| 3 | Aglipayan | 7 |
| 4 | Protestant | 13 |
| 5 | Islam | 65 |
| 6 | Jesus is our Shield | 1 |
| 7 | Born Again | 17 |
| 8 | United Pentecostal | 3 |
| 9 | Baptist | 6 |
| 10 | United Church of Christ of the Philippines | 2 |
| 11 | Alliances | 1 |
| 12 | Church of Christ | 1 |
| 13 | Christian | 3 |
| 14 | Seventh Day Adventist | 9 |
| 15 | Methodist | 2 |
| 16 | Couples for Christ | 1 |
| 17 | None Sectarian | 1 |
| 18 | Rizalismo | 3 |
| 19 | House of Yahweh | 1 |
| 20 | One Way | 1 |
| 21 | Philippine Independent Church | 7 |
| 22 | Assembly of God | 3 |
| 23 | Jesus Miracle Crusade | 1 |
| 24 | Jesus is Lord | 2 |
| 25 | Iglesia Evangelista, Methodista Enlas Islas Pilipinas | 1 |
| 26 | River of God | 1 |
| 27 | Evangelist | 1 |
| 28 | Thanks to Come | 1 |
| 29 | Church of Ipil | 1 |
| 30 | Grace for Christ | 1 |
| 31 | Catholic Charismatic Renewal | 1 |
| 32 | Jehovahs Witnesses | 3 |
| 33 | Latter-Day Saint | 1 |
| 34 | Pagtulon-An Sa Divo Amahan | 1 |
| 35 | Universla Church of Christ | 1 |
| 36 | Kristohanon | 1 |
| 990 | NAP, other countries | 43999 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 43999 | 0 | 36 |
Valid range from 0 to 36
RU_RELIG Country specific religious affiliation or denomination: Russia
| Value 147185 | Frequency | |
|---|---|---|
| 0 | No religion | 209 |
| 100 | Roman Catholic | 5 |
| 200 | Protestant | 5 |
| 320 | Christian Orthodox | 1274 |
| 500 | Jewish | 2 |
| 600 | Islamic | 71 |
| 700 | Buddhist | 7 |
| 990 | NAP, other countries | 43580 |
| 997 | Refused | 35 |
| 998 | Information insufficient | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1573 | 43626 | 0 | 700 |
Valid range from 0 to 700
SE_RELIG Country specific religious affiliation or denomination: Sweden
| Value 148184 | Frequency | |
|---|---|---|
| 0 | No religion | 346 |
| 1 | Church of Sweden | 739 |
| 2 | Roman Catholic | 15 |
| 3 | Christian Orthodox | 9 |
| 4 | Christian free-church | 21 |
| 5 | Other Christian church/ community | 6 |
| 6 | Jewish | 1 |
| 7 | Islamic | 11 |
| 8 | Buddhists | 2 |
| 10 | Other Religions | 7 |
| 990 | NAP, other countries | 44018 |
| 998 | Don't know | 0 |
| 999 | No answer | 24 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1157 | 44042 | 0 | 10 |
Valid range from 0 to 10
SI_RELIG Country specific religious affiliation or denomination: Slovenia
| Value 149183 | Frequency | |
|---|---|---|
| 0 | No religion | 284 |
| 1 | Roman Catholic | 738 |
| 2 | Protestant | 6 |
| 3 | Christian Orthodox | 25 |
| 4 | Other Christian | 3 |
| 6 | Islamic | 21 |
| 8 | Hindu | 1 |
| 10 | Other Religions | 1 |
| 990 | NAP, other countries | 44117 |
| 999 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1079 | 44120 | 0 | 10 |
Valid range from 0 to 10
SK_RELIG Country specific religious affiliation or denomination: Slovak Republic
| Value 150182 | Frequency | |
|---|---|---|
| 0 | No religion | 217 |
| 1 | Roman Catholic | 737 |
| 2 | Evangelical Lutheran | 74 |
| 3 | Greek Catholic | 56 |
| 4 | Reformed Calvinist | 20 |
| 5 | Christian Orthodox | 6 |
| 6 | Jehovas Witnesses | 3 |
| 7 | Other Christian | 3 |
| 9 | Other Non-Christian | 2 |
| 990 | NAP, other countries | 44040 |
| 999 | No answer | 41 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1118 | 44081 | 0 | 9 |
Valid range from 0 to 9
TR_RELIG Country specific religious affiliation or denomination: Turkey
| Value 151181 | Frequency | |
|---|---|---|
| 0 | No religion | 16 |
| 100 | Roman Catholic | 3 |
| 200 | Protestant | 5 |
| 300 | Orthodox; Eastern Orthodox | 2 |
| 400 | Other Christian Groups | 1 |
| 500 | Jewish | 3 |
| 630 | Sunni | 1487 |
| 660 | Other Muslim Religions | 91 |
| 690 | Muslim, Mohammedan, Islam | 53 |
| 990 | NAP, other countries | 43534 |
| 999 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1661 | 43538 | 0 | 690 |
Valid range from 0 to 690
TW_RELIG Country specific religious affiliation or denomination: Taiwan
| Value 152180 | Frequency | |
|---|---|---|
| 0 | No religion | 551 |
| 1 | Buddhism | 500 |
| 2 | Taoism | 330 |
| 3 | Folk religion | 666 |
| 4 | Yiguan Dao | 35 |
| 6 | Catholicism | 32 |
| 7 | Protestant Christianity | 88 |
| 8 | Other | 7 |
| 990 | NAP, other countries | 42990 |
| 997 | Refused | 0 |
| 999 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2209 | 42990 |
Valid range from 0 to 8
US_RELIG Country specific religious affiliation or denomination: United States
| Value 153179 | Frequency | |
|---|---|---|
| 0 | No religion | 264 |
| 1 | Protestant | 671 |
| 2 | Catholic | 342 |
| 3 | Jewish | 19 |
| 5 | Other | 11 |
| 6 | Buddhism | 15 |
| 7 | Hinduism | 3 |
| 8 | Other Eastern | 2 |
| 9 | Moslem/ Islam | 7 |
| 10 | Orthodox-Christian | 5 |
| 11 | Christian | 65 |
| 12 | Native American | 2 |
| 13 | Inter-Nondenominational | 14 |
| 990 | NAP, other countries | 43769 |
| 999 | No answer | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1420 | 43779 |
Valid range from 0 to 13
ZA_RELIG Country specific religious affiliation or denomination: South Africa
| Value 154178 | Frequency | |
|---|---|---|
| 0 | No religion | 412 |
| 1 | African Evangelical Church | 439 |
| 2 | Christian without specification | 29 |
| 3 | Anglican | 109 |
| 4 | Assemblies of God | 54 |
| 5 | Apostle Twelve | 122 |
| 6 | Baptist | 47 |
| 7 | Dutch Reformed | 112 |
| 8 | Full Gospel Church of God | 84 |
| 9 | Faith Mission | 47 |
| 10 | Church of God and Saints of Christ | 10 |
| 11 | Jehovas Witness | 28 |
| 12 | Lutheran | 37 |
| 13 | Methodist | 139 |
| 14 | Pentecostal Holiness Church | 41 |
| 15 | Roman Catholic | 174 |
| 16 | Salvation Army | 3 |
| 17 | Seventh Day Adventist | 22 |
| 18 | St Johns Apostolic | 45 |
| 19 | United Congregational Church | 35 |
| 20 | Universal Church of God | 30 |
| 21 | Nazareth | 54 |
| 22 | Zionist Christian Church | 294 |
| 23 | Other Christian | 52 |
| 24 | Islam or Muslim | 140 |
| 25 | Judaism or Jewish | 9 |
| 26 | Hinduism or Hindu | 153 |
| 27 | Buddhism or Buddhist | 1 |
| 28 | Other | 319 |
| 990 | NAP, other countries | 42087 |
| 997 | Refused | 8 |
| 998 | Don't know | 4 |
| 999 | No answer | 59 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 3041 | 42158 |
Valid range from 0 to 28
RELIGGRP Groups of religious affiliations (derived from nat_RELIG)
| Value 155177 | Frequency | |
|---|---|---|
| 0 | No religion, CL: none, agnostic, atheist | 9706 |
| 1 | Roman Catholic | 14882 |
| 2 | Protestant | 8746 |
| 3 | Christian Orthodox | 2926 |
| 4 | Other Christian | 1099 |
| 5 | Jewish | 1056 |
| 6 | Islamic | 2441 |
| 7 | Buddhist | 1333 |
| 8 | Hindu | 182 |
| 9 | Other Asian Religions | 1080 |
| 10 | Other Religions | 635 |
| 97 | Refused | 181 |
| 98 | Information insufficient | 83 |
| 99 | No answer | 849 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44086 | 1113 | 0 | 10 |
Valid range from 0 to 10
ATTEND Attendance of religious services
| Value 156176 | Frequency | |
|---|---|---|
| 1 | Several times a week or more often | 2594 |
| 2 | Once a week | 5264 |
| 3 | 2 or 3 times a month | 2774 |
| 4 | Once a month | 2537 |
| 5 | Several times a year | 7218 |
| 6 | Once a year | 4532 |
| 7 | Less frequently than once a year | 5493 |
| 8 | Never | 12568 |
| 0 | NAP, no religion,TR: no islamic religion | 819 |
| 97 | Refused | 228 |
| 98 | Don't know | 309 |
| 99 | No answer | 863 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42980 | 2219 | 1 | 8 |
Valid range from 1 to 8
TOPBOT Top-Bottom self-placement
| Value 157175 | Frequency | |
|---|---|---|
| 1 | Lowest, Bottom, 01 | 1252 |
| 2 | 02 | 2062 |
| 3 | 03 | 4376 |
| 4 | 04 | 5988 |
| 5 | 05 | 10693 |
| 6 | 06 | 8139 |
| 7 | 07 | 5226 |
| 8 | 08 | 2757 |
| 9 | 09 | 582 |
| 10 | Highest, Top, 10 | 402 |
| 0 | Not available: GB,NZ | 2100 |
| 98 | Don't know | 618 |
| 99 | No answer | 1004 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41477 | 3722 | 1 | 10 |
Valid range from 1 to 10
AR_PRTY Country specific party affiliation: Argentina
| Value 158174 | Frequency | |
|---|---|---|
| 1 | Kirchnerist Peronism | 59 |
| 2 | Other Peronism | 55 |
| 3 | Radical Civic Union | 39 |
| 5 | Socialist Party | 5 |
| 7 | Communist Party | 1 |
| 8 | Workers Party | 1 |
| 9 | Project South | 2 |
| 10 | Republican Proposal | 1 |
| 13 | Civic Front | 1 |
| 18 | New Encounter | 1 |
| 19 | Movement Towards Socialism | 1 |
| 95 | Unspecified | 8 |
| 96 | No party preference | 940 |
| 0 | NAP, other countries | 44069 |
| 98 | Don't know, no answer, refused | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1114 | 44085 | 1 | 96 |
Valid range from 1 to 96
AT_PRTY Country specific party affiliation: Austria
| Value 159173 | Frequency | |
|---|---|---|
| 1 | Austrian People's Party - OEVP | 178 |
| 2 | Austrian Social Democratic Party - SPOE | 217 |
| 3 | Austrian Freedom Party - FPOE | 95 |
| 4 | Green Party - GRUENE | 72 |
| 5 | Confederation for the Future of Austria - BZOE | 25 |
| 6 | Austrian Communist Party - KPOE | 17 |
| 94 | Other party | 9 |
| 95 | Would not vote | 91 |
| 96 | No party affiliation | 117 |
| 0 | NAP, other countries | 44180 |
| 97 | Not eligible to vote | 40 |
| 99 | No answer | 158 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 821 | 44378 | 1 | 96 |
Valid range from 1 to 96
BE_PRTY Country specific party affiliation: Belgium/ Flanders (BE-FLA)
| Value 160172 | Frequency | |
|---|---|---|
| 1 | Christian Democrats Flemish - CD and V | 269 |
| 2 | Green Party Flemish- Groen | 111 |
| 3 | List Dedecker - LDD, Ljist Dedecker | 36 |
| 4 | National Flemish Alliance N-VA | 202 |
| 5 | Flemish Liberals and Democrats - Open VLD | 137 |
| 6 | Socialist Party - SPa/ Spirit | 177 |
| 7 | Flemish Interest - Vlaams Belang | 85 |
| 8 | Green Party Francophone - Ecolo | 2 |
| 11 | Reformist Movement Francophone - MR | 1 |
| 12 | Left Party/ Workers Party of Belgium - PVDA/ CAP | 7 |
| 13 | Vote for a certain person, not for a specific party | 3 |
| 94 | Vote blank, not valid | 2 |
| 95 | Other party | 8 |
| 96 | No party affiliation | 16 |
| 0 | NAP, other countries | 44057 |
| 97 | Refused | 0 |
| 98 | Don't know | 40 |
| 99 | No answer | 46 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1056 | 44143 | 1 | 96 |
Valid range from 1 to 96
BG_PRTY Country specific party affiliation: Bulgaria
| Value 161171 | Frequency | |
|---|---|---|
| 1 | Citizens for European Development of Bulgaria - GERB | 288 |
| 2 | Coalition for Bulgaria - BSP, PBS 'Koalitsiya za Balgariya', | 174 |
| 3 | Movement for Rights and Freedom - DPS 'Dvizhenie za Prava i | 69 |
| 4 | Blue Coalition - SDS, DSB 'Sinyata Koalitsiya' | 39 |
| 5 | National Union Attack - Partiya 'Ataka' | 25 |
| 6 | Order, Law and Justice - RZS 'Red, Zakonnost i Spravedlivost | 5 |
| 7 | National Movement for Stability and Progress - NDSV | 8 |
| 8 | Liberal Initiative for Democratic European Development - PP | 7 |
| 11 | The Greens - PP 'Zelenite' | 2 |
| 15 | Balgarski Natsionalen Sayuz - ND | 2 |
| 17 | Independent Candidate | 1 |
| 95 | Other party | 3 |
| 0 | NAP, other countries | 44196 |
| 96 | NAP (Code 0, 2 in VOTE_LE) | 271 |
| 97 | Refused | 93 |
| 99 | No answer | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 623 | 44576 | 1 | 95 |
Valid range from 1 to 95
CA_PRTY Country specific party affiliation: Canada
| Value 162170 | Frequency | |
|---|---|---|
| 1 | Conservatives | 296 |
| 2 | Liberal | 238 |
| 3 | New Democrats | 116 |
| 4 | Bloc Quebecois | 57 |
| 5 | Green Party | 47 |
| 95 | Other Party | 6 |
| 0 | NAP, other countries | 44214 |
| 99 | No answer | 225 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 760 | 44439 |
Valid range from 1 to 95
CH_PRTY Country specific party affiliation: Switzerland
| Value 163169 | Frequency | |
|---|---|---|
| 1 | The Liberals - FDP | 98 |
| 2 | Christian Democratic Party | 63 |
| 3 | Social Democratic Party | 139 |
| 4 | Swiss Peoples Party | 139 |
| 5 | Conservative Democratic Party | 18 |
| 6 | Popular Evangelical Party | 9 |
| 7 | Christian Social Party | 4 |
| 8 | Labour Party - PdA | 3 |
| 9 | Green Party - GPS | 72 |
| 10 | Green Liberal Party | 49 |
| 11 | Swiss Democrats | 5 |
| 12 | Federal Democratic Union | 8 |
| 13 | Lega dei Ticinese | 6 |
| 95 | Other party | 11 |
| 96 | No party preference | 501 |
| 0 | NAP, other countries | 43987 |
| 98 | Not interested so much in politics | 6 |
| 99 | No answer | 81 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1125 | 44074 | 1 | 96 |
Valid range from 1 to 96
CL_PRTY Country specific party affiliation: Chile
| Value 164168 | Frequency | |
|---|---|---|
| 1 | Christian Democratic Party - PDC | 91 |
| 2 | Democratic Independent Union - UDI | 58 |
| 3 | Communist Party of Chile - PCCH | 21 |
| 4 | National Renewal Party - RN | 102 |
| 5 | Socialist Party - PS | 85 |
| 6 | Radical Social Democratic Party - PRSD | 8 |
| 7 | Party of Democracy - PPD | 60 |
| 8 | Humanist Party - PH | 9 |
| 9 | Regionalist Independent Party - PRI | 9 |
| 95 | Other party | 4 |
| 96 | No party affiliation | 930 |
| 0 | NAP, other countries | 43763 |
| 98 | Don't know | 34 |
| 99 | No answer | 25 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1377 | 43822 |
Valid range from 1 to 96
CZ_PRTY Country specific party affiliation: Czech Republic
| Value 165167 | Frequency | |
|---|---|---|
| 1 | Czech Social Democratic Party- CSSD | 231 |
| 2 | Workers Party of Social Justice- DSSS | 6 |
| 4 | Christian Democratic Party - Czech Peoples Party - KDU-CSL | 38 |
| 5 | Communist Party of Bohemia and Moravia - KSCM | 78 |
| 6 | Civic Democratic Party - ODS | 158 |
| 7 | Right Wing Block- PB | 2 |
| 8 | Party of Free Citizens | 5 |
| 9 | Green Party - SZ and Party of Open Society | 23 |
| 10 | Sovereignty | 22 |
| 11 | Top 09 and Mayors and Independent | 114 |
| 12 | Public Issues - VV and European Democrats - SNK and Alternat | 86 |
| 13 | Party of Citizemns Rights -Zemanovci - SPOZ | 21 |
| 95 | Other party | 3 |
| 0 | NAP, other countries | 43771 |
| 96 | NAP (Code 2,7 in VOTE_LE) | 501 |
| 97 | Refused | 122 |
| 99 | No answer | 18 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 787 | 44412 | 1 | 95 |
Valid range from 1 to 95
DE_PRTY Country specific party affiliation: Germany
| Value 166166 | Frequency | |
|---|---|---|
| 1 | Christian Democratic Union/ Christian Social Union - CDU/ CS | 289 |
| 2 | Social Democratic Party - SPD | 265 |
| 3 | Free Democratic Party - FDP | 72 |
| 4 | The Left/ Die Linke | 106 |
| 5 | Alliance 90/ The Greens - Buendnis 90/Gruene | 210 |
| 6 | National Democratic Party - NPD | 16 |
| 7 | Pirate Party Germany/ Piratenpartei | 9 |
| 94 | Not eligible | 48 |
| 95 | Other party | 14 |
| 96 | Would not vote | 142 |
| 0 | NAP, other countries | 43792 |
| 97 | Refused | 68 |
| 98 | Don't know | 151 |
| 99 | No answer | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1171 | 44028 |
Valid range from 1 to 96
DK_PRTY Country specific party affiliation: Denmark
| Value 167165 | Frequency | |
|---|---|---|
| 1 | Social Democratic Party - SD | 228 |
| 2 | Radical Liberal Party - RV | 56 |
| 3 | Conservative Peoples Party - KP | 80 |
| 4 | Socialist Peoples Party - SF | 192 |
| 5 | Christian Peoples Party - KRF | 4 |
| 6 | Danish Peoples Party - DF | 115 |
| 7 | Liberal Party - V | 269 |
| 8 | New Alliance - NA | 20 |
| 9 | Leftwing Alliance - EL | 27 |
| 96 | No party affiliation | 10 |
| 0 | NAP, other countries | 43894 |
| 98 | Don't know | 75 |
| 99 | No answer | 229 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1001 | 44198 |
Valid range from 1 to 96
ES_PRTY Country specific party affiliation: Spain
| Value 168164 | Frequency | |
|---|---|---|
| 1 | Spanish Socialist Workers Party - PSOE | 418 |
| 2 | Popular Party - PP | 293 |
| 3 | Spanish Communist Party, Catalonia Greens - IU, ICV | 34 |
| 4 | Catalonian nationalist parties, Convergence and Union - CIU | 26 |
| 5 | Union Progress and Democracy - UPyD | 11 |
| 6 | Basque Nationalist Party - PNV | 5 |
| 7 | Catalonian Republican Left - ERC | 14 |
| 8 | Galician Nationalist Party - BNG | 8 |
| 9 | Canary Islands Coalition Party - CC | 1 |
| 10 | Basque Nationalist Party Coalition Navarra Yes - Na-Baii Nav | 2 |
| 11 | Navarrese Peoples Union - UPN | 5 |
| 95 | Other party | 22 |
| 96 | No party affiliation | 1591 |
| 0 | NAP, other countries | 42639 |
| 99 | No answer | 130 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2430 | 42769 |
Valid range from 1 to 96
FI_PRTY Country specific party affiliation: Finland
| Value 169163 | Frequency | |
|---|---|---|
| 1 | Social Democratic Party - SDP | 128 |
| 2 | Centre Party of Finland - KESK | 116 |
| 3 | National Coalition Party - KOK | 151 |
| 4 | Left Alliance - VAS | 54 |
| 5 | Swedish Peoples Party - SFP/RKP | 23 |
| 6 | Green League - VIHR | 74 |
| 7 | Christian Democrats - KD | 27 |
| 8 | True Finns - PS | 107 |
| 95 | Other party | 11 |
| 96 | No party affiliation | 509 |
| 0 | NAP, other countries | 43988 |
| 99 | No answer | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 43999 |
Valid range from 1 to 96
FR_PRTY Country specific party affiliation: France
| Value 170162 | Frequency | |
|---|---|---|
| 1 | Communist Party - PCF | 60 |
| 2 | Far left - LO-LCR/PT | 41 |
| 3 | Socialist Party - PS | 499 |
| 4 | Green, Ecologists - VERTS | 182 |
| 5 | Democratic Movement | 126 |
| 6 | Conservative - UMP | 518 |
| 7 | National Front - Far right - FN | 56 |
| 95 | Other party | 25 |
| 96 | No party affiliation | 502 |
| 0 | NAP, other countries | 42946 |
| 97 | Refused | 161 |
| 99 | No answer | 83 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2009 | 43190 |
Valid range from 1 to 96
GB_PRTY Country specific party affiliation: Great Britain (GB-GBN)
| Value 171161 | Frequency | |
|---|---|---|
| 1 | Conservative - CONS | 280 |
| 2 | Labour - LAB | 279 |
| 3 | Liberal Democrats - SLD | 129 |
| 4 | Social Democratic Party | 0 |
| 5 | Democratic Unionist Party | 0 |
| 6 | Scottish National Party - SNP | 11 |
| 7 | Plaid Cymru - PC | 1 |
| 8 | Green Party | 16 |
| 9 | Ulster Union Party | 0 |
| 10 | Alliance Party | 0 |
| 11 | Sinn Fein | 0 |
| 12 | Ulster Democratic Party | 0 |
| 13 | Womens Coalition | 0 |
| 14 | Progressive Unionist Party | 0 |
| 15 | Northern Ireland Union | 0 |
| 16 | UK Unionist Party | 0 |
| 93 | Other answer | 12 |
| 95 | Other party | 20 |
| 96 | No party affiliation | 127 |
| 0 | NAP, other countries | 44271 |
| 97 | Refused | 20 |
| 98 | Don't know | 33 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 875 | 44324 | 1 | 96 |
Valid range from 1 to 96
HR_PRTY Country specific party affiliation: Croatia
| Value 172160 | Frequency | |
|---|---|---|
| 1 | Croatian Democratic Union (Conservative) - HDZ | 52 |
| 2 | Social Democratic Party (Soc-Democr) - SDP | 61 |
| 3 | Croatian Party of Rights (Right,Conservative) - HSP | 18 |
| 4 | Croatian Peasant Party (Center) - HSS | 7 |
| 5 | Croatian Peoples Party (Center) - HNS | 5 |
| 6 | Croatian Social Liberal Party (Liberal) - HSLS | 5 |
| 7 | Istrian Democratic Assembly (Regional) - IDS | 12 |
| 8 | Croation Party of Pensioners - HSU | 2 |
| 9 | Croation Democratic Union of Slavonija and Baranja - HDSSB | 5 |
| 95 | Other party | 9 |
| 96 | No party affiliation | 893 |
| 0 | NAP, other countries | 43989 |
| 97 | Refused | 117 |
| 99 | No answer | 24 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1069 | 44130 |
Valid range from 1 to 96
IL_PRTY Country specific party affiliation: Israel
| Value 173159 | Frequency | |
|---|---|---|
| 1 | Haavoda | 65 |
| 2 | Likud | 232 |
| 3 | Kadima | 154 |
| 4 | Shase | 24 |
| 5 | Meretz | 39 |
| 6 | Mafdal | 15 |
| 7 | Yahadut-hatora | 42 |
| 8 | Israel Beteno | 60 |
| 9 | Haehud Halumi | 8 |
| 10 | Hayerukim | 7 |
| 11 | Hatnua Hayeruka-Memad | 7 |
| 12 | ale yarok | 5 |
| 13 | Gimlaim | 7 |
| 14 | Haadash | 18 |
| 15 | Balad | 24 |
| 16 | Raam, Taal | 33 |
| 95 | Other party | 9 |
| 0 | NAP, other countries | 43983 |
| 96 | NAP, did not vote, not eligible (code 2,0 in VOTE_LE) | 259 |
| 97 | Refused | 130 |
| 99 | No answer | 78 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 749 | 44450 |
Valid range from 1 to 95
JP_PRTY Country specific party affiliation: Japan
| Value 174158 | Frequency | |
|---|---|---|
| 1 | Liberal Democratic Party - LDP | 285 |
| 2 | The Democratic Party of Japan - DPJ | 203 |
| 3 | Liberal Party | 0 |
| 4 | New Komeito - New Clean Government Party | 42 |
| 5 | Japanese Communist Party - JCP | 23 |
| 6 | Social Democratic Party - SDPJ | 12 |
| 7 | Your Party | 32 |
| 95 | Other party | 7 |
| 96 | No party affiliation | 695 |
| 0 | NAP, other countries | 43892 |
| 99 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1299 | 43900 |
Valid range from 1 to 96
KR_PRTY Country specific party affiliation: Korea (South)
| Value 175157 | Frequency | |
|---|---|---|
| 1 | Grand National Party - GNP | 387 |
| 2 | Democratic Party - DEP | 425 |
| 3 | Liberty Forward Party - LFP | 28 |
| 4 | Future Hope Alliance | 3 |
| 5 | Democratic Labor Party - DLP | 41 |
| 6 | Creative Korea Party | 1 |
| 7 | Solidarity for New Progressive Party | 9 |
| 8 | Partcipation Party | 40 |
| 9 | Independent | 42 |
| 95 | Other parties | 6 |
| 96 | None | 11 |
| 0 | NAP, other countries | 43623 |
| 97 | Did not vote | 552 |
| 98 | Don't know | 29 |
| 99 | No answer, did not vote | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 993 | 44206 | 1 | 96 |
Valid range from 1 to 96
LT_PRTY Country specific party affiliation: Lithuania
| Value 176156 | Frequency | |
|---|---|---|
| 1 | Labour Party - DP | 67 |
| 2 | Liberal and Centre Union - LICS | 13 |
| 3 | Electorla Action of Lithuanian Poles - LLRA | 7 |
| 4 | Liberal Movement of Lithuanian Republic - LRLS | 8 |
| 5 | Lithuanian Social Democratic Party - LSDP | 73 |
| 6 | Lithuanian Peasants People Party - LVLP | 12 |
| 7 | New Union (Social Liberals) - NS (SL) | 9 |
| 8 | Party Order and Justice - TT | 28 |
| 9 | National Resurrection Party - TPP | 3 |
| 10 | Homeland Union - Lithuanian Christian Democrats - TS-LKD | 67 |
| 95 | Other | 10 |
| 96 | No party affiliation | 681 |
| 0 | NAP, other countries | 44176 |
| 97 | Refused | 45 |
| 99 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 978 | 44221 |
Valid range from 1 to 96
LV_PRTY Country specific party affiliation: Latvia
| Value 177155 | Frequency | |
|---|---|---|
| 1 | Harmony Centre, Saskanas Centre | 135 |
| 2 | Unity | 36 |
| 3 | Zatlers Reform Party | 16 |
| 4 | Party 'All for Latvia', Alliance for Freedom and Fatherland | 40 |
| 5 | For Latvia and Ventspils | 1 |
| 6 | Greens and Peasants Union - ZZS | 29 |
| 7 | Organisation For Human Rights in United Latvia - PCTVL | 8 |
| 9 | Union 'Latvias First Party' and 'Latvias Way' - LPP/LC | 5 |
| 10 | Movement 'for 13th January' | 1 |
| 11 | Latvian Social Democratic Workers Party - LSDSP | 3 |
| 13 | Popular Control/ Tautas kontrole | 2 |
| 14 | Made in Latvia | 1 |
| 15 | Inheritance of Fatherland | 1 |
| 95 | Other party | 1 |
| 96 | No party affiliation | 481 |
| 0 | NAP, other countries | 44199 |
| 97 | Refused | 50 |
| 98 | Don't know | 190 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 760 | 44439 |
Valid range from 1 to 96
MX_PRTY Country specific party affiliation: Mexico
| Value 178154 | Frequency | |
|---|---|---|
| 1 | National Action Party - PAN | 226 |
| 2 | Institutional Revolutionary Party - PRI | 558 |
| 3 | Democratic Revolution Party - PRD | 162 |
| 4 | Labour Party - PT | 12 |
| 5 | Environmentalist Green Party - PVEM | 11 |
| 6 | Convergence | 6 |
| 7 | Social Democratic Party - PSD | 2 |
| 8 | New Alliance Party - PANAL | 5 |
| 96 | No party preference | 568 |
| 0 | NAP, other countries | 43562 |
| 97 | Refused | 74 |
| 99 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1550 | 43649 | 1 | 96 |
Valid range from 1 to 96
NO_PRTY Country specific party affiliation: Norway
| Value 179153 | Frequency | |
|---|---|---|
| 1 | The Party Red | 15 |
| 2 | Labour Party - DNA | 435 |
| 3 | Progress Party - FRP | 151 |
| 4 | Conservative Party - H | 249 |
| 5 | Christian Democratic Party - KrF | 62 |
| 6 | Centre Party - SP | 84 |
| 7 | Socialist Left Party - SV | 90 |
| 8 | Liberal Party - V | 65 |
| 95 | Other Party | 19 |
| 96 | No party affiliation, did not vote | 41 |
| 0 | NAP, other countries | 43817 |
| 99 | No answer | 171 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1211 | 43988 |
Valid range from 1 to 96
NZ_PRTY Country specific party affiliation: New Zealand
| Value 180152 | Frequency | |
|---|---|---|
| 1 | Association of Consumers and Taxpayers - ACT | 25 |
| 2 | Alliance | 2 |
| 3 | Destiny | 1 |
| 4 | Green Party | 68 |
| 5 | New Zealand Labour Party - NZLP | 228 |
| 6 | Maori Party | 18 |
| 7 | National Party - NP | 428 |
| 8 | New Zealand First Party - NZFP | 30 |
| 9 | Progressive Coalition | 1 |
| 10 | United Future - UF | 11 |
| 95 | Other | 11 |
| 0 | NAP, other countries | 44027 |
| 96 | Did not vote/ not eligible (code 2 in VOTE_LE) | 300 |
| 98 | Don't know | 49 |
| 99 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 823 | 44376 |
Valid range from 1 to 95
PH_PRTY Country specific party affiliation: Philippines
| Value 181151 | Frequency | |
|---|---|---|
| 1 | Nationalist Peoples Coalition - NPC | 0 |
| 2 | Liberal Party - LP | 65 |
| 5 | LAKAS-NUCD-UMDP Party | 38 |
| 8 | Lapiang Bagong Lakas Ng Nueva Ecija - BALANE | 0 |
| 9 | Partido Magdalo | 1 |
| 18 | Philippine Democratic Party - PDP-LABAN, Partido Demokratiko | 1 |
| 19 | Partido NG Masang Pilipino - PMP | 4 |
| 33 | Nacionalista Party - NP | 3 |
| 36 | Kabalikat Ng Malayang Pilipino - KAMPI | 0 |
| 47 | Katipunan Ng Bagong Caloocan - KABAKA | 0 |
| 48 | Citizens Action Party, Akbayan | 0 |
| 74 | Bayan Muna | 0 |
| 81 | Buhay Hayaan Yumabong - BUHAY | 0 |
| 83 | Kilusan ng Nagkakaisang Pilipino - KNP | 0 |
| 85 | Gabriela | 1 |
| 86 | Citizens Battle against Corruption - CIBAC | 0 |
| 87 | Bando Osmena Pundok Kauswagan - BOPK | 2 |
| 88 | Independent | 1 |
| 95 | Other Party | 72 |
| 96 | No party affiliation | 989 |
| 0 | NAP, other countries | 43999 |
| 97 | Refused | 0 |
| 99 | No answer | 23 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1177 | 44022 |
Valid range from 1 to 96
RU_PRTY Country specific party affiliation: Russia
| Value 182150 | Frequency | |
|---|---|---|
| 1 | Russian Communist Party | 170 |
| 2 | Party of Patriots of Russia | 10 |
| 3 | Russian United Democratic Party Yabloko | 9 |
| 4 | Fair Russia | 61 |
| 5 | United Russia | 579 |
| 6 | Party 'Pravoe delo' | 0 |
| 7 | Liberal Democratic Party of Russia | 70 |
| 8 | Party of Social Justice | 8 |
| 9 | The National Bolshevik Party | 1 |
| 10 | The Slavic Union/Movement Against Illegal Immigration | 3 |
| 95 | Other party | 1 |
| 96 | No party affiliation; none, would not vote | 603 |
| 0 | NAP, other countries | 43580 |
| 97 | Refused | 0 |
| 98 | Don't know | 104 |
| 99 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1515 | 43684 | 1 | 96 |
Valid range from 1 to 96
SE_PRTY Country specific party affiliation: Sweden
| Value 183149 | Frequency | |
|---|---|---|
| 1 | Centre Party - C | 61 |
| 2 | Liberal Party - FP | 87 |
| 3 | Christian Democrats - KD | 27 |
| 4 | Green Party - MP | 105 |
| 5 | Conservative Party - M | 291 |
| 6 | Social Democratic Party - S | 336 |
| 7 | Left Party - V | 58 |
| 8 | Feminist Initiative - FI | 8 |
| 9 | Pirate Party - PP | 20 |
| 10 | Sweden Democrats - SD | 39 |
| 95 | Other Party | 65 |
| 0 | NAP, other countries | 44018 |
| 99 | No answer | 84 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1097 | 44102 | 1 | 95 |
Valid range from 1 to 95
SI_PRTY Country specific party affiliation: Slovenia
| Value 184148 | Frequency | |
|---|---|---|
| 1 | Democratic Party of Pensioners of Slovenia - DESUS | 82 |
| 2 | Liberal Democracy of Solvenia - LDS | 32 |
| 3 | Peoples Party - SLS | 27 |
| 4 | Slovenian National Party - SNS | 47 |
| 5 | Slovenian Democratic Party - SDS | 165 |
| 6 | New Slovenia - NSI | 20 |
| 7 | Social Democrats (former ZLSD-Combined list) - SD | 84 |
| 8 | New Politics - ZARES | 13 |
| 9 | Green Parties | 0 |
| 95 | Other Party | 45 |
| 96 | No party affiliation; would not vote | 548 |
| 0 | NAP, other countries | 44117 |
| 99 | No answer | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1063 | 44136 | 1 | 96 |
Valid range from 1 to 96
SK_PRTY Country specific party affiliation: Slovak Republic
| Value 185147 | Frequency | |
|---|---|---|
| 1 | Communist Party - KSS | 17 |
| 2 | Christian Democratic Movement - KDH | 63 |
| 3 | Movement for Democratic Slovakia, Peoples Party - HZDS | 37 |
| 4 | MOST - HID | 32 |
| 5 | Freedom and Solidarity - SaS | 27 |
| 6 | Free Forum - SF | 8 |
| 7 | Slovak Democratic Christian Union - Democratic Party - SDKU- | 84 |
| 8 | Slovak National Party - SNS | 49 |
| 9 | Social Democracy - SMER-SD SMER | 247 |
| 10 | Party of Greens - SZ | 12 |
| 11 | Party of Hungarian Coalition - SMK | 32 |
| 96 | No party affiliation; would not vote | 430 |
| 0 | NAP, other countries | 44040 |
| 98 | Don't know | 92 |
| 99 | No answer | 29 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1038 | 44161 | 1 | 96 |
Valid range from 1 to 96
TR_PRTY Country specific party affiliation: Turkey
| Value 186146 | Frequency | |
|---|---|---|
| 1 | Justice and development Party - AKP | 549 |
| 2 | Motherland Party - ANAP | 0 |
| 3 | Grand Union Party - BBP | 23 |
| 4 | Republican Peoples Party - CHP | 238 |
| 5 | Democratic Society Party - DTP | 0 |
| 6 | Democratic Left - DSP | 3 |
| 7 | Democratic Party -True Path Party - DP-DYP | 3 |
| 8 | Young Party - GP | 1 |
| 9 | Nationalist Action Party - MHP | 79 |
| 10 | Felicity Party - SP | 11 |
| 11 | Freedom and Solidarity Party - ODP | 2 |
| 12 | Turkish Communist Party - TKP | 0 |
| 13 | Peace and Democracy Party - BDP | 42 |
| 95 | Other party | 5 |
| 96 | No party affiliation | 636 |
| 0 | NAP, other countries | 43534 |
| 99 | No answer | 73 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1592 | 43607 | 1 | 96 |
Valid range from 1 to 96
TW_PRTY Country specific party affiliation: Taiwan
| Value 187145 | Frequency | |
|---|---|---|
| 1 | Kuo Min Tang - KMT | 363 |
| 2 | Democratic Progressive Party - DPP | 193 |
| 3 | People First Party - PFP | 8 |
| 4 | Taiwan Solidarity Union - TSU | 0 |
| 6 | New Party | 3 |
| 95 | Other party | 2 |
| 96 | No party affiliation | 1633 |
| 0 | NAP, other countries | 42990 |
| 97 | Refused | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2202 | 42997 |
Valid range from 1 to 96
US_PRTY Country specific party affiliation: United States
| Value 188144 | Frequency | |
|---|---|---|
| 1 | Strong Democrat | 251 |
| 2 | Not very strong Democrat | 249 |
| 3 | Independent, close Democrat | 175 |
| 4 | Independent | 243 |
| 5 | Independent, close Republican | 143 |
| 6 | Not very strong Republican | 191 |
| 7 | Strong Republican | 131 |
| 95 | Other party | 35 |
| 0 | NAP, other countries | 43769 |
| 99 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1418 | 43781 |
Valid range from 1 to 95
ZA_PRTY Country specific party affiliation: South Africa
| Value 189143 | Frequency | |
|---|---|---|
| 1 | African Christian Democratic Party - ACDP | 15 |
| 2 | African National Congress - ANC | 1427 |
| 3 | Azanian Peoples Organisation - AZAPO | 0 |
| 4 | Democratic Party/ Alliance - DA/ DP | 475 |
| 5 | Freedom Front - FF/VF, Vryheidsfront | 22 |
| 6 | Independent Democrats - ID | 22 |
| 7 | Inkatha Freedom Party - IFP | 24 |
| 8 | Minority Front - MF | 34 |
| 9 | Pan-Africanist Congress - PAC | 5 |
| 10 | United Christian Democratic Party - UCDP | 2 |
| 11 | United Democratic Movement - UDM | 8 |
| 12 | Congress of the People - COPE | 40 |
| 95 | Other party | 4 |
| 96 | No party affiliation; would not vote | 344 |
| 0 | NAP, other countries | 42087 |
| 97 | Refused | 370 |
| 98 | Uncertain, don't know | 269 |
| 99 | No answer | 51 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2422 | 42777 |
Valid range from 1 to 96
PARTY_LR R: Party affiliation: left-right scale
| Value 190142 | Frequency | |
|---|---|---|
| 1 | Far left (communist etc.) | 1136 |
| 2 | Left, center left | 7461 |
| 3 | Center, liberal | 6816 |
| 4 | Right, conservative | 7416 |
| 5 | Far right (fascist etc.) | 887 |
| 6 | Other, no specification | 587 |
| 7 | No party affiliation, no preference, would not vote | 12345 |
| 0 | NAP, did not vote, not eligible, not available: IL,TW | 4461 |
| 97 | Refused | 1205 |
| 98 | Insufficient information | 1081 |
| 99 | No answer | 1804 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36648 | 8551 | 1 | 7 |
Valid range from 1 to 7
VOTE_LE Did respondent vote in last general election?
| Value 191141 | Frequency | |
|---|---|---|
| 1 | Yes | 32170 |
| 2 | No | 8290 |
| 3 | Not eligible to vote | 0 |
| 0 | NAP, not eligible to vote at last election, not available: G | 2906 |
| 7 | Refused | 811 |
| 8 | Don't know | 180 |
| 9 | No answer | 842 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40460 | 4739 | 1 | 2 |
Valid range from 1 to 3
AR_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Argentina
| Value 192140 | Frequency | |
|---|---|---|
| 1 | 3 or 4 Argentine grandparents | 640 |
| 2 | 3 or 4 Italian or Spanish grandparents | 146 |
| 3 | 2 Argentine and 2 Italian or Spanish grandparents | 101 |
| 4 | 2 Argentine and 2 non Italian and Spanish grandparents | 83 |
| 5 | 3 or 4 South American neighbouring countries, including Peru | 59 |
| 6 | 3 or 4 European but no Italian or Spanish grandparents | 22 |
| 7 | Other combination of grandparents birth place | 54 |
| 0 | NAP, other countries | 44069 |
| 98 | 3 or 4 DK grandparents birthplace | 25 |
| 99 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1105 | 44094 | 1 | 7 |
Valid range from 1 to 7
AT_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Austria
| Value 193139 | Frequency | |
|---|---|---|
| 11 | Native citizen - majority member | 906 |
| 12 | Native citizen- minority member | 6 |
| 21 | New citizen - German speaker | 26 |
| 22 | New citizen - non-German speaker, Christian | 21 |
| 23 | New citizen - non-German speaker, non-Christian | 13 |
| 31 | Non-citizen - German speaker | 16 |
| 32 | Non-citizen - non-German speaker, Christian | 15 |
| 33 | Non-citizen - non-German speaker, non-Christian | 16 |
| 0 | NAP, other countries | 44180 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1019 | 44180 | 11 | 33 |
Valid range from 11 to 33
BE_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Belgium/ Flanders (BE-FLA)
| Value 194138 | Frequency | |
|---|---|---|
| 14 | Belgium | 1023 |
| 98 | Other, mixed origin | 119 |
| 0 | NAP, other countries | 44057 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1142 | 44057 | 14 | 98 |
Valid range from 14 to 98
BG_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Bulgaria
| Value 195137 | Frequency | |
|---|---|---|
| 1 | Bulgarian | 841 |
| 2 | Turk | 90 |
| 3 | Roma | 68 |
| 4 | Other | 4 |
| 0 | NAP, other countries | 44196 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 44196 | 1 | 4 |
Valid range from 1 to 4
CA_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Canada
| Value 196136 | Frequency | |
|---|---|---|
| 1 | French | 94 |
| 2 | English | 175 |
| 3 | German | 40 |
| 4 | Scottish | 64 |
| 5 | Irish | 63 |
| 6 | Other Western European | 67 |
| 7 | Other Eastern European | 30 |
| 8 | Chinese/ South-East Asian | 17 |
| 9 | Africa | 7 |
| 10 | Caribbean | 1 |
| 11 | Latin American | 4 |
| 12 | Indian Sub-Contonent | 10 |
| 13 | Other Middle East | 4 |
| 14 | Jewish | 3 |
| 16 | Metis | 3 |
| 18 | Canadian | 37 |
| 19 | French Canadian/ Acadian | 54 |
| 95 | Other | 23 |
| 0 | NAP, other countries | 44214 |
| 98 | Don't know | 51 |
| 99 | No answer | 238 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 696 | 44503 |
Valid range from 1 to 95
CH_ETHN Country specific: citizenship: Switzerland
| Value 197135 | Frequency | |
|---|---|---|
| 11 | Country from Northern Europe | 2 |
| 13 | Country from Central Europe | 5 |
| 14 | Country from Western Europe | 7 |
| 15 | Country from Western Southern Europe | 38 |
| 16 | Country from Southern Europe | 9 |
| 17 | Country from Eastern Southern Europe | 39 |
| 24 | Country from Western Africa | 4 |
| 31 | Country from Northern America | 1 |
| 33 | Country from Central America | 1 |
| 35 | Country from Southern America | 3 |
| 36 | Country from Eastern Southern America | 2 |
| 42 | Country from Eastern Asia | 2 |
| 44 | Country from Western Asia | 4 |
| 46 | Country from Southern Asia | 2 |
| 47 | Country from Eastern Southern Asia | 2 |
| 13040 | Austria | 7 |
| 13276 | Germany | 36 |
| 13756 | Switzerland | 900 |
| 13756.05 | Switzerland and other nationality | 102 |
| 14250 | France | 11 |
| 16380 | Italy | 28 |
| 99995 | Two nationalities, non Swiss | 6 |
| 0 | NAP, other countries | 43987 |
| 99999 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1211 | 43988 | 11 | 99995 |
Valid range from 11 to 99995
CL_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Chile
| Value 198134 | Frequency | |
|---|---|---|
| 2 | Atacameno | 2 |
| 3 | Aimara | 11 |
| 4 | Colla | 1 |
| 5 | Mapuche | 113 |
| 6 | Quechua | 1 |
| 8 | Yamana (Yagan) | 12 |
| 9 | None of these ethnic groups | 1280 |
| 0 | NAP, other countries | 43763 |
| 99 | No answer | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1420 | 43779 |
Valid range from 2 to 9
CZ_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Czech Republic
| Value 199133 | Frequency | |
|---|---|---|
| 1 | Czech | 1301 |
| 2 | Moravian | 97 |
| 3 | Silesian | 6 |
| 4 | Slovak | 12 |
| 5 | Polish | 2 |
| 6 | German | 2 |
| 7 | Roma | 4 |
| 9 | Hungarian | 1 |
| 12 | Other | 1 |
| 0 | NAP, other countries | 43771 |
| 97 | Refused | 1 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1426 | 43773 | 1 | 12 |
Valid range from 1 to 12
DE_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Germany
| Value 200132 | Frequency | |
|---|---|---|
| 1 | Germany | 1337 |
| 3 | France | 1 |
| 4 | Greece | 1 |
| 7 | Italy | 4 |
| 8 | Former Yugoslavia | 4 |
| 9 | Netherlands | 2 |
| 10 | Austria | 2 |
| 11 | Poland | 7 |
| 12 | Portugal | 1 |
| 13 | Romania | 1 |
| 14 | Sweden | 1 |
| 15 | Switzerland | 1 |
| 16 | Russia, former UdSSR | 3 |
| 18 | Former Czechoslovakia | 1 |
| 19 | Turkey | 15 |
| 21 | United States | 2 |
| 23 | Other | 16 |
| 95 | Two citizenships | 7 |
| 0 | NAP, other countries | 43792 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1406 | 43793 |
Valid range from 1 to 95
DK_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Denmark
| Value 201131 | Frequency | |
|---|---|---|
| 1 | Afghanistan | 1 |
| 8 | Armenia | 1 |
| 9 | Australia | 1 |
| 21 | Bosnia-Herzegovina | 4 |
| 49 | El Salvador | 1 |
| 54 | Philippines | 2 |
| 70 | India | 2 |
| 72 | Iraq | 4 |
| 75 | Iceland | 2 |
| 77 | Italy | 1 |
| 84 | China | 4 |
| 89 | Kosovo | 2 |
| 95 | Lebanon | 2 |
| 99 | Lithuania | 2 |
| 102 | Macedonia, the former Yugoslav republic | 1 |
| 121 | Netherlands | 1 |
| 127 | Norway | 3 |
| 129 | Pakistan | 1 |
| 135 | Poland | 5 |
| 139 | Russia | 1 |
| 145 | Switzerland | 1 |
| 147 | Serbia | 1 |
| 160 | Great Britain and Northern Ireland | 3 |
| 163 | Sweden | 3 |
| 170 | Thailand | 2 |
| 178 | Turkey | 3 |
| 179 | Germany | 8 |
| 180 | Uganda | 1 |
| 189 | Vietnam | 1 |
| 196 | Faeroe Islands | 5 |
| 197 | Greenland | 1 |
| 198 | Denmark | 1169 |
| 0 | NAP, other countries | 43894 |
| 999 | No answer, refused | 66 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1239 | 43960 | 1 | 198 |
Valid range from 1 to 198
ES_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Spain
| Value 202130 | Frequency | |
|---|---|---|
| 1 | Spain | 2330 |
| 2 | Bulgaria | 4 |
| 3 | Finland | 2 |
| 4 | France | 7 |
| 5 | Italy | 3 |
| 6 | The Netherlands | 1 |
| 7 | Poland | 2 |
| 8 | Portugal | 6 |
| 9 | United Kingdom of Great Britain and Northern Ireland | 3 |
| 10 | Germany | 4 |
| 11 | RomanĂa | 13 |
| 12 | Sweden | 1 |
| 13 | Switzerland | 2 |
| 14 | Ukraine | 3 |
| 15 | Moldavia | 1 |
| 16 | Georgia | 1 |
| 17 | Estonia | 1 |
| 18 | Lithuania | 1 |
| 19 | Czech Republic | 1 |
| 20 | Slovakia | 1 |
| 21 | Armenia | 2 |
| 22 | Russia | 1 |
| 31 | Algeria | 2 |
| 32 | Ivory Coast | 1 |
| 33 | Gambia | 1 |
| 34 | Equatorial Guinea | 2 |
| 35 | Kenia | 1 |
| 36 | Morroco | 30 |
| 37 | Senegal | 7 |
| 51 | Mexico | 5 |
| 52 | Cuba | 6 |
| 53 | Dominica | 6 |
| 54 | Guatemala | 1 |
| 55 | Dominican Republic | 6 |
| 56 | Argentina | 8 |
| 57 | Bolivia | 9 |
| 58 | Brasil | 7 |
| 59 | Colombia | 12 |
| 60 | Chile | 3 |
| 61 | Ecuador | 16 |
| 62 | Peru | 12 |
| 63 | Uruguay | 1 |
| 64 | Venezuela | 14 |
| 71 | Philippines | 1 |
| 72 | India | 1 |
| 73 | Pakistan | 2 |
| 0 | NAP, other countries | 42639 |
| 99 | No answer | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2544 | 42655 | 1 | 73 |
Valid range from 1 to 73
FI_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Finland
| Value 203129 | Frequency | |
|---|---|---|
| 1 | Finnish speaking finns | 1105 |
| 2 | Swedish speaking finns | 66 |
| 3 | Other | 36 |
| 0 | NAP, other countries | 43988 |
| 99 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1207 | 43992 |
Valid range from 1 to 3
FR_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: France
| Value 204128 | Frequency | |
|---|---|---|
| 0 | NAP, other countries; not available | 45199 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 45199 |
GB_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Great Britain (GB-GBN)
| Value 205127 | Frequency | |
|---|---|---|
| 1 | Black: of African origin | 7 |
| 2 | Black: of Caribbean origin | 11 |
| 4 | Asian: of Indian origin | 8 |
| 5 | Asian: of Pakistani origin | 6 |
| 6 | Asian: of Bangladeshi origin | 2 |
| 7 | Asian: of Chinese origin | 7 |
| 8 | Asian: of other origin | 6 |
| 9 | White: of any origin | 869 |
| 10 | Mixed origin | 8 |
| 11 | Other | 3 |
| 0 | NAP, other countries | 44271 |
| 97 | Refused | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 927 | 44272 |
Valid range from 1 to 11
HR_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Croatia
| Value 206126 | Frequency | |
|---|---|---|
| 1 | Croat | 1085 |
| 2 | Serb | 37 |
| 3 | Bosniac | 5 |
| 6 | Czech | 3 |
| 9 | German | 1 |
| 10 | Roma | 1 |
| 12 | Russian | 1 |
| 13 | Slovenian | 1 |
| 16 | Other | 1 |
| 0 | NAP, other countries | 43989 |
| 97 | Refused | 63 |
| 99 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1135 | 44064 |
Valid range from 1 to 16
IL_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Israel
| Value 207125 | Frequency | |
|---|---|---|
| 1 | Cyprus | 1 |
| 4 | Jordan | 1 |
| 5 | Iraq | 16 |
| 7 | Yemen | 9 |
| 9 | Iran | 19 |
| 11 | India, Pakistan | 7 |
| 17 | Turkey | 12 |
| 20 | Morrocco, Tangier | 40 |
| 21 | Algiers | 2 |
| 22 | Tunisia | 5 |
| 23 | Libya | 6 |
| 24 | Sudan, Egypt | 5 |
| 25 | Ethiopia, Somalia, Eritrea | 7 |
| 27 | South Africa | 2 |
| 29 | Africa | 1 |
| 30 | Russia | 90 |
| 31 | Poland | 9 |
| 40 | Romania | 24 |
| 41 | Yugoslavia | 1 |
| 42 | Bulgaria | 3 |
| 43 | Greece | 2 |
| 50 | Germany | 6 |
| 51 | Austria | 1 |
| 52 | Switzerland | 2 |
| 53 | Czechoslovakia | 1 |
| 54 | Hungary | 1 |
| 59 | England | 9 |
| 61 | Holland | 1 |
| 62 | Belgium | 1 |
| 64 | France | 7 |
| 66 | Spain | 2 |
| 67 | Italy | 1 |
| 70 | USA | 14 |
| 71 | Canada | 1 |
| 72 | Mexico | 1 |
| 79 | Peru | 1 |
| 81 | Brazil | 3 |
| 82 | Uruguay | 2 |
| 83 | Argentina | 12 |
| 86 | Australia | 3 |
| 89 | Palestine | 1 |
| 90 | Israel | 827 |
| 91 | Ukraine, Belorussia, Moldavia, Estonia, Latvia | 43 |
| 92 | Georgia, Uzbekistan, Tozakistan, Kazakhastan, Armenia, Azerb | 14 |
| 0 | NAP, other countries | 43983 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1216 | 43983 | 1 | 92 |
Valid range from 1 to 92
JP_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Japan
| Value 208124 | Frequency | |
|---|---|---|
| 1 | Japanese | 1307 |
| 0 | NAP, other countries | 43892 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1307 | 43892 |
Valid range from 1 to 1
KR_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: South Korea
| Value 209123 | Frequency | |
|---|---|---|
| 0 | NAP, other countries, not available | 45199 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 45199 |
LT_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Lithuania
| Value 210122 | Frequency | |
|---|---|---|
| 1 | Lithuanian | 917 |
| 2 | Polish | 44 |
| 3 | Russian | 44 |
| 4 | Other | 12 |
| 0 | NAP, other countries | 44176 |
| 97 | Refused | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1017 | 44182 |
Valid range from 1 to 4
LV_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Latvia
| Value 211121 | Frequency | |
|---|---|---|
| 1 | Latvian | 600 |
| 2 | Russian | 314 |
| 3 | Belarussian | 22 |
| 4 | Romany | 4 |
| 5 | Israel | 3 |
| 6 | Lithuanian | 13 |
| 7 | Polish | 25 |
| 8 | Ukrainian | 16 |
| 9 | German | 1 |
| 10 | Karelian | 1 |
| 0 | NAP, other countries | 44199 |
| 97 | Refused | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 999 | 44200 | 1 | 10 |
Valid range from 1 to 10
MX_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Mexico
| Value 212120 | Frequency | |
|---|---|---|
| 1 | Belonging to an indigenous group | 87 |
| 2 | Not belonging to an indigenous group | 1527 |
| 0 | NAP, other countries | 43562 |
| 99 | No answer | 23 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1614 | 43585 | 1 | 2 |
Valid range from 1 to 2
NO_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Norway
| Value 213119 | Frequency | |
|---|---|---|
| 1 | Both parents were born in Norway | 1249 |
| 2 | One of the parents was born in Norway | 61 |
| 3 | None of the parents were born in Noway | 48 |
| 0 | NAP, other countries | 43817 |
| 99 | No answer | 24 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1358 | 43841 |
Valid range from 1 to 3
NZ_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: New Zealand
| Value 214118 | Frequency | |
|---|---|---|
| 23 | China, Cantonese, Hakka, Mandarain | 30 |
| 32 | Europe, White/ European | 929 |
| 45 | India, Hindi, Urdu, Gujarati, Tamil | 17 |
| 54 | Maori and New Zealand | 106 |
| 62 | Pacific, Polynesian, Chamorro/ Guam | 25 |
| 98 | Other, mixed origin | 42 |
| 0 | NAP, other countries | 44027 |
| 99 | No answer | 23 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1149 | 44050 |
Valid range from 23 to 98
PH_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Philippines
| Value 215117 | Frequency | |
|---|---|---|
| 1 | Bicol | 79 |
| 2 | Ilocano | 71 |
| 3 | Ilongo | 135 |
| 4 | Cebuano | 358 |
| 5 | Chinese | 1 |
| 6 | Maguindanao | 16 |
| 7 | Maranao | 45 |
| 8 | Tagalog | 282 |
| 9 | Tausug | 1 |
| 10 | Kapangpangan | 1 |
| 11 | Bisaya | 5 |
| 12 | Waray | 86 |
| 13 | Batangueno | 3 |
| 14 | Manobo | 2 |
| 15 | Boholano | 1 |
| 16 | Itawis | 6 |
| 17 | Pampangueno | 45 |
| 18 | Pangasian | 25 |
| 19 | Ibanag | 2 |
| 20 | Davaueno | 1 |
| 21 | Leyteno | 1 |
| 22 | Manyan | 1 |
| 23 | Antiqueno | 2 |
| 24 | Subanon | 1 |
| 25 | Caviteno | 1 |
| 26 | Mansaka | 1 |
| 0 | NAP, other countries | 43999 |
| 98 | Don't know | 21 |
| 99 | No answer | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1172 | 44027 | 1 | 26 |
Valid range from 1 to 26
RU_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Russia
| Value 216116 | Frequency | |
|---|---|---|
| 0 | NAP, other countries, not available | 45199 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 45199 |
SE_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Sweden
| Value 217115 | Frequency | |
|---|---|---|
| 1 | When R was born, both parents swedish citizens | 958 |
| 2 | When R was born, one parent foreign citizen | 58 |
| 3 | When R was born, both parents foreign citizens | 156 |
| 0 | NAP, other countries | 44018 |
| 99 | No answer | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1172 | 44027 | 1 | 3 |
Valid range from 1 to 3
SI_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Slovenia
| Value 218114 | Frequency | |
|---|---|---|
| 1 | Slovenian | 992 |
| 2 | Italian | 1 |
| 3 | Hungarian | 5 |
| 5 | German | 1 |
| 6 | Croatian | 22 |
| 7 | Serbian | 28 |
| 8 | Montenegrian | 2 |
| 9 | Bosniak | 24 |
| 10 | Macedonian | 3 |
| 13 | Other nationa/ ethnic identity | 3 |
| 0 | NAP, other countries | 44117 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1081 | 44118 | 1 | 13 |
Valid range from 1 to 13
SK_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Slovak Republic
| Value 219113 | Frequency | |
|---|---|---|
| 1 | Slovak | 1011 |
| 2 | Hungarian | 122 |
| 3 | Roma | 11 |
| 4 | Other | 15 |
| 0 | NAP, other countries | 44040 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1159 | 44040 | 1 | 4 |
Valid range from 1 to 4
TR_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Turkey
| Value 220112 | Frequency | |
|---|---|---|
| 6 | Arab, Muslim (Morocco, algeria, Lybia) | 57 |
| 57 | Kurd, Assyria, Midlle East, Lebanon | 240 |
| 88 | Turkey, Turkish | 1368 |
| 0 | NAP, other countries | 43534 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1665 | 43534 | 6 | 88 |
Valid range from 6 to 88
TW_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Taiwan
| Value 221111 | Frequency | |
|---|---|---|
| 1 | Fukienese | 1678 |
| 2 | Hakka of Taiwan | 211 |
| 3 | Mainlander | 244 |
| 4 | Aborigine | 59 |
| 24 | Thai, Khmer, Vietnam, South-East Asia | 7 |
| 46 | Indonesia, Malaysian | 5 |
| 0 | NAP, other countries | 42990 |
| 97 | Refused | 2 |
| 99 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2204 | 42995 |
Valid range from 1 to 46
US_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: United States
| Value 222110 | Frequency | |
|---|---|---|
| 1 | Africa | 112 |
| 2 | Austria | 4 |
| 3 | French Canada | 11 |
| 4 | Other Canada | 5 |
| 5 | China | 6 |
| 6 | Czechoslovakia | 10 |
| 7 | Denmark | 14 |
| 8 | England and Wales | 105 |
| 9 | Finland | 5 |
| 10 | France | 22 |
| 11 | Germany | 169 |
| 12 | Greece | 5 |
| 13 | Hungary | 3 |
| 14 | Ireland | 138 |
| 15 | Italy | 56 |
| 16 | Japan | 10 |
| 17 | Mexico | 90 |
| 18 | Netherlands | 16 |
| 19 | Norway | 15 |
| 20 | Philippines | 5 |
| 21 | Poland | 29 |
| 22 | Puerto Rico | 14 |
| 23 | Russia | 13 |
| 24 | Scotland | 36 |
| 25 | Spain | 12 |
| 26 | Sweden | 14 |
| 27 | Switzerland | 5 |
| 28 | West Indies | 3 |
| 29 | Other | 7 |
| 30 | American Indian | 55 |
| 31 | India | 12 |
| 32 | Portugal | 12 |
| 33 | Lithuania | 3 |
| 34 | Yugoslavia | 3 |
| 35 | Rumania | 3 |
| 36 | Belgium | 8 |
| 37 | Arabicl | 1 |
| 38 | Other Spanish | 30 |
| 39 | Non-Spain Windies | 12 |
| 40 | Other Asian | 16 |
| 41 | Other European | 4 |
| 97 | American only | 36 |
| 0 | NAP, other countries | 43769 |
| 98 | Uncodeable and NAP | 294 |
| 99 | No answer | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1129 | 44070 | 1 | 97 |
Valid range from 1 to 97
ZA_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: South Africa
| Value 223109 | Frequency | |
|---|---|---|
| 1 | Black African | 1781 |
| 2 | Coloured | 564 |
| 3 | Indian/ Asian | 365 |
| 4 | White | 401 |
| 0 | NAP, other countries | 42087 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 3111 | 42088 |
Valid range from 1 to 4
HHCHILDR How many children in household: children between school age and 17 years old
| Value 224108 | Frequency | |
|---|---|---|
| 0 | No children | 28825 |
| 1 | One child | 7391 |
| 2 | Two children | 4363 |
| 3 | Three children | 1462 |
| 4 | Four children | 447 |
| 5 | Five children | 163 |
| 6 | Six children | 72 |
| 7 | Seven children,KR:7 years old | 80 |
| 8 | Eight children,US:8 or more,KR:8 years old | 75 |
| 9 | Nine children,KR:9 years old | 43 |
| 10 | Ten children,KR:10 years old | 48 |
| 11 | KR: 11 years old | 37 |
| 12 | KR: 12 years old | 30 |
| 13 | KR: 13 years old | 41 |
| 14 | KR: 14 years old | 51 |
| 15 | KR: 15 years old | 43 |
| 16 | KR: 16 years old | 45 |
| 17 | KR: 17 years old | 50 |
| 96 | NAP (Code 0 in HOMPOP); not available: JP | 1411 |
| 99 | No answer | 522 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43266 | 1933 | 0 | 17 |
Valid range from 0 to 17
HHTODD How many toddlers in household: children up to school age
| Value 225107 | Frequency | |
|---|---|---|
| 0 | No toddlers | 32685 |
| 1 | One toddler,KR:1 year old | 4401 |
| 2 | Two toddlers,KR:2 years | 1710 |
| 3 | Three toddlers,KR:3 years | 317 |
| 4 | Four toddlers,KR:4 years | 115 |
| 5 | Five toddlers,KR:5 years | 51 |
| 6 | Six toddlers,KR:6 years | 33 |
| 7 | Seven toddlers | 2 |
| 8 | Eight toddlers | 1 |
| 9 | Nine toddlers | 5 |
| 96 | NAP (Code 0 in HOMPOP); not available: DK,JP,NZ,RU | 5507 |
| 99 | No answer | 372 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 39320 | 5879 | 0 | 9 |
Valid range from 0 to 9
HOMPOP How many persons in household
| Value 226106 | Frequency | |
|---|---|---|
| 1 | One person (only respondent) | 6783 |
| 2 | 2 persons | 12905 |
| 3 | 3 persons | 8235 |
| 4 | 4 persons | 8187 |
| 5 | 5 persons | 3826 |
| 6 | 6 persons | 1783 |
| 7 | 7 persons | 816 |
| 8 | 8 persons | 397 |
| 9 | 9 persons | 207 |
| 10 | 10 persons | 132 |
| 11 | 11 persons | 68 |
| 12 | 12 persons | 52 |
| 13 | 13 persons | 21 |
| 14 | 14 persons | 12 |
| 15 | 15 persons | 4 |
| 16 | 16 persons | 4 |
| 17 | 17 persons | 1 |
| 18 | 18 persons | 0 |
| 19 | 19 persons | 0 |
| 20 | 20 persons | 0 |
| 21 | 21 persons | 0 |
| 22 | 22 persons | 3 |
| 0 | Not a private household; not available: JP | 1411 |
| 99 | No answer | 352 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43436 | 1763 | 1 | 22 |
Valid range from 1 to 22
AR_RINC Country specific personal income: Argentina
| Value 227105 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 238 |
| 130 | 130 ARS, monthly net income | 1 |
| 20000 | 20.000 ARS, monthly net | 1 |
| 999990 | NAP, other countries | 44069 |
| 999997 | Refused, don't know, no answer | 130 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1000 | 44199 | 0 | 20000 |
Valid range from 0 to 20000
AT_RINC Country specific personal income: Austria
| Value 228104 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 68 |
| 150 | Up to 300 EUR per month, net | 22 |
| 450 | 301-600 EUR | 78 |
| 750 | 601-900 EUR | 115 |
| 1050 | 901-1.200 EUR | 146 |
| 1350 | 1.201-1.500 EUR | 132 |
| 1650 | 1.501-1.800 EUR | 106 |
| 1950 | 1.801-2.100 EUR | 58 |
| 2300 | 2.101-2.500 EUR | 52 |
| 2750 | 2.501-3.000 EUR | 29 |
| 3500 | 3.001-4.000 EUR | 15 |
| 4500 | More than 4.000 EUR per month, net | 8 |
| 999990 | NAP, other countries | 44180 |
| 999999 | No answer | 190 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 829 | 44370 | 0 | 4500 |
Valid range from 0 to 4500
BE_RINC Country specific personal income: Belgium/ Flanders (BE-FLA)
| Value 229103 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 141 |
| 250 | Less than 500 EUR, monthly net income | 41 |
| 550 | 500-599 EUR | 10 |
| 650 | 600-699 EUR | 14 |
| 750 | 700-799 EUR | 30 |
| 850 | 800-899 EUR | 33 |
| 950 | 900-999 EUR | 37 |
| 1050 | 1.000-1.099 EUR | 82 |
| 1150 | 1.100-1.199 EUR | 51 |
| 1250 | 1.200-1.299 EUR | 72 |
| 1350 | 1.300-1.399 EUR | 56 |
| 1450 | 1.400-1.499 EUR | 78 |
| 1550 | 1.500-1.599 EUR | 71 |
| 1650 | 1.600-1.699 EUR | 50 |
| 1750 | 1.700-1.799 EUR | 60 |
| 1850 | 1.800-1.899 EUR | 44 |
| 1950 | 1.900-1.999 EUR | 32 |
| 2050 | 2.000-2.099 EUR | 45 |
| 2150 | 2.100-2.199 EUR | 26 |
| 2250 | 2.200-2.299 EUR | 22 |
| 2350 | 2.300-2.399 EUR | 15 |
| 2450 | 2.400-2.499 EUR | 13 |
| 2550 | 2.500-2.599 EUR | 18 |
| 2650 | 2.600-2.699 EUR | 12 |
| 2750 | 2.700-2.799 EUR | 6 |
| 2850 | 2.800-2.899 EUR | 5 |
| 2950 | 2.900-2.999 EUR | 3 |
| 3050 | 3.000-3.099 EUR | 8 |
| 3150 | 3.100-3.199 EUR | 3 |
| 3250 | 3.200-3.299 EUR | 7 |
| 3350 | 3.300-3.399 EUR | 3 |
| 3450 | 3.400-3.499 EUR | 4 |
| 3550 | 3.500-3.599 EUR | 4 |
| 3650 | 3.600-3.699 EUR | 2 |
| 3825 | 3.700-3.949 EUR | 3 |
| 3850 | 3.800-3.899 EUR | 0 |
| 4075 | 3.950-4.199 EUR | 3 |
| 4325 | 4.200-4.449 EUR | 4 |
| 4575 | 4.500-4.699 EUR | 1 |
| 5075 | 4.950-5.199 EUR | 1 |
| 5325 | 5.200-5.449 EUR | 2 |
| 6700 | 5.450-7.949 EUR | 2 |
| 9200 | 7.950-10.449 EUR | 1 |
| 10450 | More than 10.450 EUR, monthly net | 1 |
| 999990 | NAP, other countries | 44057 |
| 999997 | Refused | 18 |
| 999998 | Don't know | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1116 | 44083 | 0 | 10450 |
Valid range from 0 to 10450
BG_RINC Country specific personal income: Bulgaria
| Value 230102 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 116 |
| 40 | 40 BGN | 1 |
| 2500 | 2.500 BGN | 1 |
| 999990 | NAP, other countries | 44196 |
| 999997 | Refused | 182 |
| 999998 | Don't know | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 809 | 44390 | 0 | 2500 |
Valid range from 0 to 2500
CA_RINC Country specific personal income: Canada
| Value 231101 | Frequency | |
|---|---|---|
| 0 | No own income | 18 |
| 20 | 20 CAD per month, net | 1 |
| 25 | 1 | |
| 50 | 1 | |
| 62 | 1 | |
| 100 | 1 | |
| 175 | 1 | |
| 200 | 3 | |
| 250 | 4 | |
| 300 | 1 | |
| 330 | 1 | |
| 340 | 1 | |
| 350 | 1 | |
| 390 | 1 | |
| 400 | 9 | |
| 410 | 1 | |
| 450 | 2 | |
| 500 | 9 | |
| 520 | 1 | |
| 600 | 7 | |
| 700 | 6 | |
| 703 | 1 | |
| 728 | 1 | |
| 750 | 1 | |
| 787 | 1 | |
| 800 | 15 | |
| 810 | 1 | |
| 810.4 | 1 | |
| 820 | 1 | |
| 850 | 2 | |
| 900 | 7 | |
| 915 | 1 | |
| 930 | 1 | |
| 1000 | 22 | |
| 1050 | 1 | |
| 1100 | 8 | |
| 1120 | 2 | |
| 1200 | 15 | |
| 1273 | 1 | |
| 1300 | 6 | |
| 1352 | 1 | |
| 1360 | 1 | |
| 1400 | 9 | |
| 1450 | 1 | |
| 1483 | 1 | |
| 1485 | 1 | |
| 1500 | 19 | |
| 1600 | 10 | |
| 1650 | 1 | |
| 1667 | 1 | |
| 1700 | 2 | |
| 1750 | 1 | |
| 1800 | 5 | |
| 1840 | 1 | |
| 1900 | 2 | |
| 1954 | 1 | |
| 1955 | 1 | |
| 2000 | 45 | |
| 2080 | 1 | |
| 2093 | 1 | |
| 2100 | 2 | |
| 2182 | 1 | |
| 2200 | 5 | |
| 2207 | 1 | |
| 2300 | 4 | |
| 2400 | 10 | |
| 2480 | 1 | |
| 2500 | 29 | |
| 2600 | 8 | |
| 2700 | 8 | |
| 2750 | 2 | |
| 2800 | 2 | |
| 2850 | 1 | |
| 2900 | 5 | |
| 2917 | 1 | |
| 2946 | 1 | |
| 2960 | 1 | |
| 3000 | 50 | |
| 3030 | 1 | |
| 3060 | 1 | |
| 3076 | 1 | |
| 3100 | 1 | |
| 3200 | 6 | |
| 3228 | 1 | |
| 3300 | 2 | |
| 3345 | 1 | |
| 3360 | 1 | |
| 3388 | 1 | |
| 3400 | 5 | |
| 3423 | 1 | |
| 3500 | 28 | |
| 3600 | 4 | |
| 3700 | 4 | |
| 3750 | 1 | |
| 3800 | 4 | |
| 3900 | 2 | |
| 4000 | 56 | |
| 4042 | 1 | |
| 4160 | 1 | |
| 4200 | 5 | |
| 4300 | 5 | |
| 4400 | 3 | |
| 4439 | 1 | |
| 4500 | 15 | |
| 4550 | 1 | |
| 4700 | 2 | |
| 4775 | 1 | |
| 4800 | 1 | |
| 5000 | 34 | |
| 5100 | 2 | |
| 5200 | 4 | |
| 5210 | 1 | |
| 5250 | 1 | |
| 5416 | 1 | |
| 5500 | 6 | |
| 5636 | 1 | |
| 5800 | 1 | |
| 5958 | 1 | |
| 6000 | 24 | |
| 6100 | 2 | |
| 6200 | 3 | |
| 6300 | 1 | |
| 6500 | 6 | |
| 6600 | 2 | |
| 7000 | 17 | |
| 7200 | 1 | |
| 7300 | 1 | |
| 7500 | 3 | |
| 7750 | 1 | |
| 7800 | 1 | |
| 7833 | 1 | |
| 7900 | 1 | |
| 8000 | 14 | |
| 8300 | 2 | |
| 8500 | 1 | |
| 8600 | 1 | |
| 9000 | 6 | |
| 10000 | 14 | |
| 11000 | 3 | |
| 11500 | 1 | |
| 12000 | 3 | |
| 15000 | 7 | |
| 16000 | 2 | |
| 18000 | 2 | |
| 20000 | 5 | |
| 25000 | 5 | |
| 26000 | 1 | |
| 28000 | 1 | |
| 30000 | 3 | |
| 33000 | 1 | |
| 38000 | 1 | |
| 40000 | 3 | |
| 43000 | 1 | |
| 45000 | 1 | |
| 48000 | 1 | |
| 50000 | 2 | |
| 50800 | 1 | |
| 60000 | 2 | |
| 70000 | 1 | |
| 80000 | 80.000 CAD per month | 1 |
| 999990 | NAP, other countries | 44214 |
| 999998 | Don't know | 2 |
| 999999 | No answer | 228 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 755 | 44444 |
Valid range from 0 to 80000
CH_RINC Country specific personal income: Switzerland
| Value 232100 | Frequency | |
|---|---|---|
| 700 | Less than 1.099 CHF per month, net | 107 |
| 1450 | 1.100-1.799 CHF | 69 |
| 2200 | 1.800-2.599 CHF | 78 |
| 3050 | 2.600-3.499 CHF | 97 |
| 3950 | 3.500-4.399 CHF | 118 |
| 4750 | 4.400-5.099 CHF | 97 |
| 5550 | 5.100-5.899 CHF | 105 |
| 6450 | 5.900-6.999 CHF | 86 |
| 7900 | 7.000-8.799 CHF | 71 |
| 9700 | 8.800 CHF and more per month | 108 |
| 999990 | NAP, other countries | 43987 |
| 999997 | Refused | 128 |
| 999998 | Don't know | 57 |
| 999999 | No answer | 91 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 936 | 44263 | 700 | 9700 |
Valid range from 700 to 9700
CL_RINC Country specific personal income: Chile
| Value 23399 | Frequency | |
|---|---|---|
| 20000 | Less than 35.000 CLP per month, net | 102 |
| 45000 | 35.001-56.000 CLP | 25 |
| 66000 | 56.001-78.000 CLP | 71 |
| 90000 | 78.001-101.000 CLP | 58 |
| 122000 | 101.001-134.000 CLP | 121 |
| 155000 | 134.001-179.000 CLP | 146 |
| 200000 | 179.001-224.000 CLP | 125 |
| 250000 | 224.001-291.000 CLP | 89 |
| 310000 | 291.001-358.000 CLP | 65 |
| 400000 | 358.001-448.000 CLP | 75 |
| 750000 | 448.001-1.000.000 CLP | 62 |
| 1500000 | 1.000.001-2.000.000 CLP | 18 |
| 2500000 | 2.000.001-3.000.000 CLP | 3 |
| 3100000 | More than 3.000.000 CLP per month, net | 6 |
| 9999990 | NAP, other countries | 43763 |
| 9999998 | Don't know | 75 |
| 9999999 | No answer | 395 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 966 | 44233 |
Valid range from 20000 to 3100000
CZ_RINC Country specific personal income: Czech Republic
| Value 23498 | Frequency | |
|---|---|---|
| 500 | 500 CZK per month, net | 1 |
| 151000 | 151.000 CZK per month, net | 1 |
| 999990 | NAP, other countries | 43771 |
| 999997 | Refused | 515 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 913 | 44286 | 500 | 151000 |
Valid range from 500 to 151000
DE_RINC Country specific personal income: Germany
| Value 23597 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 113 |
| 30 | 30 EUR per month, net | 1 |
| 10000 | 10.000 EUR per month, net | 1 |
| 999990 | NAP, other countries | 43792 |
| 999997 | Refused | 146 |
| 999999 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1258 | 43941 | 0 | 10000 |
Valid range from 0 to 10000
DK_RINC Country specific personal income: Denmark
| Value 23696 | Frequency | |
|---|---|---|
| 70000 | Below 100.000 DKK per year, before taxes | 138 |
| 125000 | 100.000-149.999 DKK | 154 |
| 175000 | 150.000-199.999 DKK | 135 |
| 225000 | 200.000-249.999 DKK | 140 |
| 275000 | 250.000-299.999 DKK | 156 |
| 350000 | 300.000-399.999 DKK | 235 |
| 450000 | 400.000-499.999 DKK | 134 |
| 550000 | 500.000-599.999 DKK | 50 |
| 650000 | 600.000 DKK or more per year | 83 |
| 999990 | NAP, other countries | 43894 |
| 999999 | No answer, don't know | 80 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1225 | 43974 | 70000 | 650000 |
Valid range from 70000 to 650000
ES_RINC Country specific personal income: Spain
| Value 23795 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 323 |
| 250 | 300 EUR or less per month, net | 67 |
| 450 | 301-600 EUR | 289 |
| 750 | 601-900 EUR | 339 |
| 1050 | 901-1.200 EUR | 372 |
| 1500 | 1.201-1.800 EUR | 366 |
| 2100 | 1.801-2.400 EUR | 170 |
| 2700 | 2.401-3.000 EUR | 56 |
| 3750 | 3.001-4.500 EUR | 32 |
| 5250 | 4.501-6.000 EUR | 5 |
| 7000 | More than 6.000 EUR per month | 17 |
| 999990 | NAP, other countries | 42639 |
| 999999 | No answer | 524 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2036 | 43163 |
Valid range from 0 to 7000
FI_RINC Country specific personal income: Finland
| Value 23894 | Frequency | |
|---|---|---|
| 0 | No income | 40 |
| 1 | 1 EUR, per month, gross income | 1 |
| 70000 | 70.000 EUR per month | 1 |
| 999990 | NAP, other countries | 43988 |
| 999999 | No answer | 94 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1117 | 44082 | 0 | 70000 |
Valid range from 0 to 70000
FR_RINC Country specific personal income: France
| Value 23993 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 0 |
| 250 | Less than 500 EUR per month | 88 |
| 650 | 500-800 EUR | 139 |
| 1000 | 800-1.200 EUR | 280 |
| 1450 | 1.200-1.700 EUR | 411 |
| 2050 | 1.700-2.400 EUR | 401 |
| 2750 | 2.400-3.100 EUR | 201 |
| 3450 | 3.100-3.800 EUR | 83 |
| 4150 | 3.800-4.500 EUR | 60 |
| 5250 | 4.500-6.000 EUR | 54 |
| 6750 | 6.000-7.500 EUR | 24 |
| 8250 | More than 7.500 EUR per month | 22 |
| 999990 | NAP, other countries | 42946 |
| 999999 | No answer | 490 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1763 | 43436 |
Valid range from 0 to 8250
GB_RINC Country specific personal income: Great Britain (GB-GBN)
| Value 24092 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 429 |
| 270 | Less than 430 GBP per month, before taxes | 30 |
| 590 | 431-780 GBP | 46 |
| 930 | 781-1.100 GBP | 53 |
| 1200 | 1.101-1.300 GBP | 61 |
| 1400 | 1.301-1.600 GBP | 49 |
| 1700 | 1.601-1.800 GBP | 33 |
| 2000 | 1.801-2.200 GBP | 47 |
| 2500 | 2.201-2.700 GBP | 46 |
| 3100 | 2.701-3.600 GBP | 54 |
| 4900 | 3.601 or more GBP per month | 43 |
| 999990 | NAP, other countries | 44271 |
| 999997 | Refused | 28 |
| 999998 | Don't know | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 891 | 44308 | 0 | 4900 |
Valid range from 0 to 4900
HR_RINC Country specific personal income: Croatia
| Value 24191 | Frequency | |
|---|---|---|
| 0 | No own income | 75 |
| 285 | 285 HRK per month, net | 1 |
| 500 | 10 | |
| 700 | 1 | |
| 800 | 4 | |
| 900 | 2 | |
| 960 | 1 | |
| 1000 | 12 | |
| 1045 | 1 | |
| 1050 | 1 | |
| 1085 | 1 | |
| 1100 | 3 | |
| 1180 | 1 | |
| 1200 | 12 | |
| 1280 | 1 | |
| 1300 | 2 | |
| 1400 | 1 | |
| 1450 | 1 | |
| 1500 | 17 | |
| 1600 | 6 | |
| 1663 | 1 | |
| 1700 | 8 | |
| 1800 | 13 | |
| 1900 | 8 | |
| 1908 | 1 | |
| 1950 | 2 | |
| 2000 | 37 | |
| 2050 | 1 | |
| 2100 | 8 | |
| 2200 | 14 | |
| 2300 | 11 | |
| 2330 | 1 | |
| 2345 | 1 | |
| 2400 | 4 | |
| 2500 | 27 | |
| 2600 | 6 | |
| 2700 | 9 | |
| 2750 | 1 | |
| 2800 | 19 | |
| 2844 | 1 | |
| 2900 | 7 | |
| 2970 | 1 | |
| 2992 | 1 | |
| 3000 | 40 | |
| 3100 | 6 | |
| 3150 | 1 | |
| 3200 | 10 | |
| 3300 | 6 | |
| 3500 | 44 | |
| 3600 | 4 | |
| 3700 | 5 | |
| 3800 | 4 | |
| 3900 | 3 | |
| 3950 | 1 | |
| 4000 | 64 | |
| 4100 | 3 | |
| 4188 | 1 | |
| 4190 | 1 | |
| 4200 | 14 | |
| 4230 | 1 | |
| 4300 | 4 | |
| 4400 | 2 | |
| 4500 | 41 | |
| 4550 | 1 | |
| 4600 | 5 | |
| 4700 | 2 | |
| 4800 | 9 | |
| 4820 | 1 | |
| 4900 | 2 | |
| 5000 | 53 | |
| 5200 | 5 | |
| 5300 | 3 | |
| 5400 | 1 | |
| 5500 | 13 | |
| 5600 | 3 | |
| 5700 | 4 | |
| 5800 | 2 | |
| 6000 | 32 | |
| 6200 | 2 | |
| 6300 | 1 | |
| 6350 | 1 | |
| 6500 | 5 | |
| 6800 | 3 | |
| 7000 | 11 | |
| 7100 | 1 | |
| 7200 | 2 | |
| 7500 | 1 | |
| 7800 | 2 | |
| 8000 | 7 | |
| 8200 | 1 | |
| 8500 | 2 | |
| 10000 | 3 | |
| 12000 | 1 | |
| 15000 | 1 | |
| 20000 | 1 | |
| 30000 | 30.000 HRK per month | 1 |
| 999990 | NAP, other countries | 43989 |
| 999997 | Refused | 368 |
| 999998 | Don't know | 63 |
| 999999 | No answer | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 772 | 44427 |
Valid range from 0 to 30000
IL_RINC Country specific personal income: Israel
| Value 24290 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 109 |
| 1000 | 1.250 ILS and less, per month, net | 34 |
| 2000 | 1.251-3.000 ILS | 133 |
| 3500 | 3.001-4.000 ILS | 76 |
| 4500 | 4.001-4.700 ILS | 65 |
| 5000 | 4.701-5.500 ILS | 89 |
| 6000 | 5.501-6.700 ILS | 67 |
| 7500 | 6.701-8.200 ILS | 83 |
| 9000 | 8.201-10.000 ILS | 73 |
| 13000 | 10.001-16.000 ILS per month | 123 |
| 999990 | NAP, other countries | 43983 |
| 999997 | Refused | 273 |
| 999998 | Don't know | 39 |
| 999999 | No answer | 52 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 852 | 44347 |
Valid range from 0 to 13000
JP_RINC Country specific personal income: Japan
| Value 24389 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 171 |
| 500000 | Less than 1.000.000 JPY per year | 269 |
| 1500000 | 1.000.000-1.999.999 JPY | 235 |
| 2500000 | 2.000.000-2.999.999 JPY | 204 |
| 3500000 | 3.000.000-3.999.999 JPY | 119 |
| 4500000 | 4.000.000-4.999.999 JPY | 77 |
| 5500000 | 5.000.000-5.999.999 JPY | 48 |
| 6500000 | 6.000.000-6.999.999 JPY | 37 |
| 7500000 | 7.000.000-7.999.999 JPY | 23 |
| 8500000 | 8.000.000-8.999.999 JPY | 20 |
| 9500000 | 9.000.000-9.999.999 JPY | 5 |
| 11000000 | 10.000.000-11.999.999 JPY | 13 |
| 13500000 | 12.000.000-14.999.999 JPY | 8 |
| 20000000 | 15.000.000 JPY and more per year | 5 |
| 99999990 | NAP, other countries | 43892 |
| 99999999 | No answer | 73 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1234 | 43965 | 0 | 20000000 |
Valid range from 0 to 20000000
KR_RINC Country specific personal income: Korea (South)
| Value 24488 | Frequency | |
|---|---|---|
| 0 | No own income | 31 |
| 300000 | Less than 500.000 KRW per month, before taxes, gross income | 45 |
| 745000 | 500.000-990.000 KRW | 99 |
| 1245000 | 1.000.000-1.490.000 KRW | 137 |
| 1745000 | 1.500.000-1.990.000 KRW | 132 |
| 2245000 | 2.000.000-2.490.000 KRW | 108 |
| 2745000 | 2.500.000-2.990.000 KRW | 74 |
| 3245000 | 3.000.000-3.499.999 KRW | 90 |
| 3745000 | 3.500.000-3.990.000 KRW | 36 |
| 4245000 | 4.000.000-4.490.000 KRW | 32 |
| 4745000 | 4.500.000-4.990.000 KRW | 19 |
| 5245000 | 5.000.000-5.490.000 KRW | 38 |
| 5745000 | 5.000.000-5.990.000 KRW | 5 |
| 6245000 | 6.000.000-6.490.000 KRW | 11 |
| 6745000 | 6.500.000-6.990.000 KRW | 1 |
| 7245000 | 7.000.000-7.490.900 KRW | 9 |
| 7745000 | 7.500.000-7.990.000 KRW | 2 |
| 8245000 | 8.000.000-8.490.000 KRW | 5 |
| 8745000 | 8.500.000-8.990.000 KRW | 0 |
| 9245000 | 9.000.000-9.490.000 KRW | 0 |
| 9745000 | 9.500.000-9.990.000 KRW | 0 |
| 10245000 | More than 10.000.000 KRW per month | 20 |
| 99999990 | NAP, other countries | 43623 |
| 99999997 | Refused | 30 |
| 99999998 | Don't know | 19 |
| 99999999 | No answer | 633 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 894 | 44305 | 0 | 10245000 |
Valid range from 0 to 10245000
LT_RINC Country specific personal income: Lithuania
| Value 24587 | Frequency | |
|---|---|---|
| 0 | No income | 84 |
| 50 | 50 LTL per month, before taxes | 1 |
| 52 | 1 | |
| 94 | 1 | |
| 130 | 2 | |
| 150 | 1 | |
| 180 | 2 | |
| 200 | 1 | |
| 208 | 1 | |
| 230 | 1 | |
| 250 | 1 | |
| 260 | 1 | |
| 270 | 2 | |
| 297 | 1 | |
| 300 | 6 | |
| 310 | 1 | |
| 312 | 1 | |
| 315 | 7 | |
| 320 | 4 | |
| 330 | 2 | |
| 340 | 3 | |
| 347 | 1 | |
| 350 | 2 | |
| 360 | 1 | |
| 364 | 1 | |
| 370 | 1 | |
| 400 | 5 | |
| 410 | 1 | |
| 440 | 1 | |
| 450 | 1 | |
| 467 | 1 | |
| 487 | 1 | |
| 490 | 1 | |
| 500 | 19 | |
| 530 | 1 | |
| 560 | 6 | |
| 589 | 1 | |
| 600 | 37 | |
| 602 | 1 | |
| 609 | 1 | |
| 610 | 2 | |
| 615 | 1 | |
| 620 | 3 | |
| 623 | 1 | |
| 630 | 2 | |
| 633 | 1 | |
| 640 | 2 | |
| 642 | 1 | |
| 647 | 1 | |
| 650 | 13 | |
| 660 | 1 | |
| 667 | 1 | |
| 670 | 3 | |
| 675 | 1 | |
| 680 | 8 | |
| 684 | 1 | |
| 690 | 2 | |
| 698 | 1 | |
| 700 | 48 | |
| 705 | 1 | |
| 708 | 1 | |
| 718 | 1 | |
| 720 | 3 | |
| 721 | 1 | |
| 725 | 1 | |
| 730 | 2 | |
| 735 | 1 | |
| 740 | 1 | |
| 750 | 11 | |
| 760 | 4 | |
| 767 | 1 | |
| 770 | 1 | |
| 775 | 1 | |
| 778 | 1 | |
| 780 | 10 | |
| 783 | 1 | |
| 789 | 1 | |
| 790 | 4 | |
| 793 | 1 | |
| 800 | 79 | |
| 810 | 2 | |
| 811 | 1 | |
| 814 | 1 | |
| 816 | 1 | |
| 817 | 1 | |
| 820 | 4 | |
| 830 | 1 | |
| 835 | 2 | |
| 836 | 1 | |
| 840 | 1 | |
| 850 | 6 | |
| 860 | 1 | |
| 870 | 4 | |
| 880 | 1 | |
| 890 | 4 | |
| 900 | 27 | |
| 901 | 1 | |
| 918 | 1 | |
| 920 | 1 | |
| 945 | 1 | |
| 950 | 8 | |
| 957 | 1 | |
| 960 | 2 | |
| 970 | 1 | |
| 980 | 3 | |
| 1000 | 71 | |
| 1030 | 1 | |
| 1050 | 2 | |
| 1060 | 1 | |
| 1100 | 14 | |
| 1120 | 1 | |
| 1170 | 1 | |
| 1200 | 22 | |
| 1250 | 1 | |
| 1278 | 1 | |
| 1300 | 11 | |
| 1350 | 2 | |
| 1400 | 10 | |
| 1500 | 39 | |
| 1600 | 10 | |
| 1700 | 7 | |
| 1726 | 1 | |
| 1800 | 9 | |
| 1900 | 3 | |
| 2000 | 30 | |
| 2150 | 1 | |
| 2160 | 1 | |
| 2200 | 3 | |
| 2300 | 2 | |
| 2400 | 2 | |
| 2500 | 9 | |
| 2600 | 2 | |
| 2700 | 2 | |
| 2800 | 1 | |
| 3000 | 15 | |
| 3500 | 2 | |
| 3800 | 1 | |
| 4000 | 7 | |
| 4400 | 1 | |
| 5000 | 3 | |
| 7000 | 2 | |
| 10000 | 2 | |
| 14000 | 1 | |
| 15000 | 15.000 LTL | 1 |
| 999990 | NAP, other countries | 44176 |
| 999997 | Refused | 203 |
| 999998 | Don't know | 21 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 799 | 44400 |
Valid range from 0 to 15000
LV_RINC Country specific personal income: Latvia
| Value 24686 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 63 |
| 5 | 5 LVL per month | 1 |
| 2150 | 2.150 LVL per month | 1 |
| 999990 | NAP, other countries | 44199 |
| 999997 | Refused | 237 |
| 999998 | Don't know | 127 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 636 | 44563 | 0 | 2150 |
Valid range from 0 to 2150
MX_RINC Country specific personal income: Mexico
| Value 24785 | Frequency | |
|---|---|---|
| 300 | 300 MXN per month, net | 1 |
| 60000 | 60.000 MXN per month | 1 |
| 999990 | NAP, other countries | 43562 |
| 999997 | Refused | 951 |
| 999998 | Don't know | 182 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 504 | 44695 | 300 | 60000 |
Valid range from 300 to 60000
NO_RINC Country specific personal income: Norway
| Value 24884 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 29 |
| 1000 | 1.000 NOK per year, gross income | 2 |
| 57000000 | 57.000.000 NOK per year | 1 |
| 99999990 | NAP, other countries | 43817 |
| 99999999 | No answer | 137 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1245 | 43954 | 0 | 57000000 |
Valid range from 0 to 57000000
NZ_RINC Country specific personal income: New Zealand
| Value 24983 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 0 |
| 5000 | 10.000 NZD or less per year, before taxes | 129 |
| 15000 | 10.001-20.000 NZD | 179 |
| 25000 | 20.001-30.000 NZD | 149 |
| 35000 | 30.001-40.000 NZD | 156 |
| 45000 | 40.001-50.000 NZD | 129 |
| 55000 | 50.001-60.000 NZD | 83 |
| 65000 | 60.001-70.000 NZD | 74 |
| 75000 | 70.001-80.000 NZD | 45 |
| 90000 | 80.001-100.000 NZD | 48 |
| 120000 | More than 100.001 NZD per year | 71 |
| 999990 | NAP, other countries | 44027 |
| 999999 | No answer | 109 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1063 | 44136 |
Valid range from 0 to 120000
PH_RINC Country specific personal income: Philippines
| Value 25082 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 368 |
| 50 | 50 PHP per month, gross income | 1 |
| 75000 | 75.000 PHP per month | 1 |
| 999990 | NAP, other countries | 43999 |
| 999997 | Refused | 1 |
| 999998 | Don't know | 4 |
| 999999 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1187 | 44012 | 0 | 75000 |
Valid range from 0 to 75000
RU_RINC Country specific personal income: Russia
| Value 25181 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 764 |
| 1500 | 1.500 RUB per month, net | 2 |
| 150000 | 150.000 RUB per month, net | 1 |
| 999990 | NAP, other countries | 43580 |
| 999997 | Refused | 150 |
| 999998 | Don't know | 31 |
| 999999 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1434 | 43765 | 0 | 150000 |
Valid range from 0 to 150000
SE_RINC Country specific personal income: Sweden
| Value 25280 | Frequency | |
|---|---|---|
| 600 | 600 SEK per month before taxes | 1 |
| 250000 | 250.000 SEK per month | 1 |
| 999990 | NAP, other countries | 44018 |
| 999999 | No answer | 208 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 973 | 44226 | 600 | 250000 |
Valid range from 600 to 250000
SI_RINC Country specific personal income: Slovenia
| Value 25379 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 100 |
| 40 | 40 EUR per month, net | 1 |
| 3500 | 3.500 EUR per month | 1 |
| 9996 | 9.996 EUR or more | 3 |
| 999990 | NAP, other countries | 44117 |
| 999997 | Refused | 262 |
| 999998 | Don't know | 57 |
| 999999 | No answer | 20 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 743 | 44456 | 0 | 9996 |
Valid range from 0 to 9996
SK_RINC Country specific personal income: Slovak Republic
| Value 25478 | Frequency | |
|---|---|---|
| 0 | No own income | 29 |
| 100 | Up to 150 EUR (approx. 4.500 SKK) per month, net | 71 |
| 225 | 151-300 EUR (approx. 4.500-9.000 SKK) | 182 |
| 375 | 301-450 EUR (approx. 9.000-13.500 SKK) | 312 |
| 525 | 451-600 EUR (approx. 13.500-18.000 SKK) | 197 |
| 675 | 601-750 EUR (approx. 18.000-22.500 SKK) | 93 |
| 825 | 751-900 EUR (approx. 22.300-27.000 SKK) | 51 |
| 1050 | 901-1.200 EUR (approx. 27.000-36.000 SKK) | 36 |
| 1350 | 1.201-1.500 EUR (approx. 36.000-45.000 SKK) | 17 |
| 1750 | 1.501-2.000 EUR (approx. 45.000-60.000 SKK) | 6 |
| 2500 | 2.001-3.000 EUR (approx. 60.000-90.000 SKK) | 5 |
| 3500 | More than 3.000 EUR (more than 90.000 SKK) | 1 |
| 999990 | NAP, other countries | 44040 |
| 999998 | Don't know | 35 |
| 999999 | No answer | 124 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1000 | 44199 | 0 | 3500 |
Valid range from 0 to 3500
TR_RINC Country specific personal income: Turkey
| Value 25577 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 726 |
| 50 | 50 TRY per month | 2 |
| 8200 | 8.200 TRY per month | 1 |
| 999990 | NAP, other countries | 43534 |
| 999998 | Don't know | 33 |
| 999999 | No answer | 109 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1523 | 43676 | 0 | 8200 |
Valid range from 0 to 8200
TW_RINC Country specific personal income: Taiwan
| Value 25676 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 296 |
| 5000 | Less than 10.000 TWD per month | 406 |
| 15000 | 10.001-20.000 TWD | 315 |
| 25000 | 20.001-30.000 TWD | 388 |
| 35000 | 30.001-40.000 TWD | 283 |
| 45000 | 40.001-50.000 TWD | 174 |
| 55000 | 50.001-60.000 TWD | 146 |
| 65000 | 60.001-70.000 TWD | 51 |
| 75000 | 70.001-80.000 TWD | 31 |
| 85000 | 80.001-90.000 TWD | 27 |
| 95000 | 90.001-100.000 TWD | 16 |
| 105000 | 100.001-110.000 TWD | 12 |
| 115000 | 110.001-120.000 TWD | 6 |
| 125000 | 120.001-130.000 TWD | 5 |
| 135000 | 130.001-140.000 TWD | 0 |
| 145000 | 140.001-150.000 TWD | 3 |
| 155000 | 150.001-160.000 TWD | 4 |
| 165000 | 160.001-170.000 TWD | 0 |
| 175000 | 170.001-180.000 TWD | 0 |
| 185000 | 180.001-190.000 TWD | 2 |
| 195000 | 190.001-200.000 TWD | 2 |
| 250000 | 200.001-300.000 TWD | 7 |
| 350000 | More than 300.001 TWD per month | 3 |
| 999990 | NAP, other countries | 42990 |
| 999997 | Refused | 25 |
| 999998 | Don't know | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2177 | 43022 |
Valid range from 0 to 350000
US_RINC Country specific personal income: United States
| Value 25775 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 0 |
| 500 | Under 1.000 USD per year, before taxes | 25 |
| 2000 | 1.000-2.999 USD | 35 |
| 3500 | 3.000-3.999 USD | 25 |
| 4500 | 4.000-4.999 USD | 18 |
| 5500 | 5.000-5.999 USD | 18 |
| 6500 | 6.000-6.999 USD | 14 |
| 7500 | 7.000-7.999 USD | 14 |
| 9000 | 8.000-9.999 USD | 27 |
| 11250 | 10.000-12499 USD | 51 |
| 13750 | 12500-14.999 USD | 27 |
| 16750 | 15.000-17.499 USD | 35 |
| 18750 | 17.500-19.999 USD | 23 |
| 21750 | 20.000-22.499 USD | 35 |
| 23750 | 22.500-24.999 USD | 37 |
| 27500 | 25.000-29.999 USD | 44 |
| 32500 | 30.000-34.999 USD | 61 |
| 37500 | 35.000-39.999 USD | 47 |
| 45000 | 40.000-49.999 USD | 62 |
| 55000 | 50.000-59.999 USD | 58 |
| 67500 | 60.000-74.999 USD | 67 |
| 82500 | 75.000-89.999 USD | 43 |
| 100000 | 90.000-109.999 USD | 20 |
| 120000 | 110.000-129.999 USD | 16 |
| 140000 | 130.000-149.999 USD | 8 |
| 160000 | 150.000 USD or more per year | 17 |
| 999990 | NAP, other countries | 44257 |
| 999997 | Refused | 105 |
| 999998 | Don't know | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 827 | 44372 | 500 | 160000 |
Valid range from 0 to 160000
ZA_RINC Country specific personal income: South Africa
| Value 25874 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 718 |
| 250 | 500 ZAR per month and less, before taxes | 267 |
| 625 | 501-750 ZAR | 102 |
| 875 | 751-1.000 ZAR | 152 |
| 1250 | 1.001-1.500 ZAR | 389 |
| 1750 | 1.501-2.000 ZAR | 150 |
| 2500 | 2.001-3.000 ZAR | 146 |
| 4000 | 3.001-5.000 ZAR | 134 |
| 6250 | 5.001-7.500 ZAR | 106 |
| 8750 | 7.501-10.000 ZAR | 89 |
| 12500 | 10.001-15.000 ZAR | 63 |
| 17500 | 15.001-20.000 ZAR | 41 |
| 25000 | 20.001-30.000 ZAR | 20 |
| 40000 | 30.001-50.000 ZAR | 14 |
| 60000 | More than 50.001 ZAR per month | 7 |
| 999990 | NAP, other countries | 42087 |
| 999997 | Refused | 526 |
| 999998 | Don't know | 126 |
| 999999 | No answer | 62 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2398 | 42801 | 0 | 60000 |
Valid range from 0 to 60000
AR_INC Country specific household income: Argentina
| Value 25973 | Frequency | |
|---|---|---|
| 0 | No income | 0 |
| 200 | 200 ARS per month, net | 1 |
| 40000 | 40.000 ARS per month | 1 |
| 999990 | NAP, other countries | 44069 |
| 999997 | Refused, don't know, no answer | 262 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 868 | 44331 | 200 | 40000 |
Valid range from 0 to 40000
AT_INC Country specific household income: Austria
| Value 26072 | Frequency | |
|---|---|---|
| 0 | No income | 6 |
| 150 | Up to 300 EUR per month, net | 5 |
| 450 | 301-600 EUR | 16 |
| 750 | 601-900 EUR | 42 |
| 1050 | 901-1.200 EUR | 77 |
| 1350 | 1.201-1.500 EUR | 70 |
| 1650 | 1.501-1.800 EUR | 72 |
| 1950 | 1.801-2.100 EUR | 81 |
| 2300 | 2.101-2.500 EUR | 97 |
| 2750 | 2.501-3.000 EUR | 113 |
| 3500 | 3.001-4.001 EUR | 82 |
| 4500 | 4.001 EUR and more per month | 75 |
| 999990 | NAP, other countries | 44180 |
| 999997 | Refused | 0 |
| 999998 | Don't know | 0 |
| 999999 | No answer | 283 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 736 | 44463 | 0 | 4500 |
Valid range from 0 to 4500
BE_INC Country specific household income: Belgium/ Flanders (BE-FLA)
| Value 26171 | Frequency | |
|---|---|---|
| 0 | No income | 0 |
| 250 | Less than 500 EUR per month, net | 3 |
| 550 | 500-599 EUR | 2 |
| 650 | 600- 699 EUR | 3 |
| 750 | 700-799 EUR | 4 |
| 850 | 800-899 EUR | 13 |
| 950 | 900-999 EUR | 16 |
| 1050 | 1.000-1.099 EUR | 45 |
| 1150 | 1.100-1.199 EUR | 18 |
| 1250 | 1.200-1.299 EUR | 31 |
| 1350 | 1.300-1.399 EUR | 24 |
| 1450 | 1.400-1.499 EUR | 31 |
| 1550 | 1.500-1.599 EUR | 25 |
| 1650 | 1.600-1.699 EUR | 21 |
| 1750 | 1.700-1.799 EUR | 35 |
| 1850 | 1.800-1.899 EUR | 26 |
| 1950 | 1.900-1.999 EUR | 26 |
| 2050 | 2.000-2.099 EUR | 48 |
| 2150 | 2.100-2.199 EUR | 30 |
| 2250 | 2.200-2.299 EUR | 29 |
| 2350 | 2.300-2.399 EUR | 25 |
| 2450 | 2.400-2.499 EUR | 33 |
| 2550 | 2.500-2.599 EUR | 31 |
| 2650 | 2.600-2.699 EUR | 23 |
| 2750 | 2.700-2.799 EUR | 19 |
| 2850 | 2.800-2.899 EUR | 26 |
| 2950 | 2.900-2.999 EUR | 27 |
| 3050 | 3.000-3.099 EUR | 45 |
| 3150 | 3.100-3.199 EUR | 29 |
| 3250 | 3.200-3.299 EUR | 22 |
| 3350 | 3.300-3.399 EUR | 18 |
| 3450 | 3.400-3.499 EUR | 19 |
| 3550 | 3.500-3.599 EUR | 39 |
| 3650 | 3.600-3.699 EUR | 31 |
| 3825 | 3.700-3.949 EUR | 39 |
| 4075 | 3.950-4.199 EUR | 46 |
| 4325 | 4.200-4.449 EUR | 26 |
| 4575 | 4.500-4.699 EUR | 16 |
| 4825 | 4.700-4.949 EUR | 13 |
| 5075 | 4.950-5.199 EUR | 15 |
| 5325 | 5.200-5.449 EUR | 11 |
| 6700 | 5.450-7.949 EUR | 31 |
| 9200 | 7.950-10.449 EUR | 8 |
| 10450 | More than 10.450 EUR per month | 3 |
| 999990 | NAP, other countries | 44057 |
| 999997 | Refused | 26 |
| 999998 | Don't know | 91 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1025 | 44174 | 250 | 10450 |
Valid range from 0 to 10450
BG_INC Country specific household income: Bulgaria
| Value 26270 | Frequency | |
|---|---|---|
| 0 | No income | 11 |
| 35 | 35 BGN | 1 |
| 5000 | 5.000 BGN | 1 |
| 999990 | NAP, other countries | 44196 |
| 999997 | Refused | 214 |
| 999998 | Don't know | 60 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 729 | 44470 | 0 | 5000 |
Valid range from 0 to 5000
CA_INC Country specific household income: Canada
| Value 26369 | Frequency | |
|---|---|---|
| 0 | No income | 5 |
| 20 | 20 CAD per month, net | 1 |
| 200000 | 200.000 CAD per month | 1 |
| 999990 | NAP, other countries | 44214 |
| 999998 | Don' know | 7 |
| 999999 | No answer | 276 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 702 | 44497 | 0 | 200000 |
Valid range from 0 to 200000
CH_INC Country specific household income: Switzerland
| Value 26468 | Frequency | |
|---|---|---|
| 1700 | Less than 2.900 CHF per month, net | 63 |
| 3550 | 2.900-4.199 CHF | 77 |
| 4750 | 4.200-5.299 CHF | 71 |
| 5850 | 5.300-6.399 CHF | 83 |
| 6900 | 6.400-7.399 CHF | 92 |
| 8000 | 7.400-8.599 CHF | 88 |
| 9400 | 8.600-10.199 CHF | 128 |
| 11100 | 10.200-11.999 CHF | 88 |
| 13500 | 12.000-14.999 CHF | 97 |
| 16500 | 15.000 CHF and more | 103 |
| 999990 | NAP, other countries | 43987 |
| 999997 | Refused | 136 |
| 999998 | Don't know | 95 |
| 999999 | No answer | 91 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 890 | 44309 | 1700 | 16500 |
Valid range from 1700 to 16500
CL_INC Country specific household income: Chile
| Value 26567 | Frequency | |
|---|---|---|
| 20000 | Less than 35.000 CLP per month, net | 11 |
| 45000 | 35.001-56.000 CLP | 15 |
| 66000 | 56.001-78.000 CLP | 32 |
| 90000 | 78.001- 101.000 CLP | 42 |
| 122000 | 101.001-134.000 CLP | 85 |
| 155000 | 134.001-179.000 CLP | 123 |
| 200000 | 179.001-224.000 CLP | 128 |
| 250000 | 224.001-291.000 CLP | 112 |
| 310000 | 291.001-358.000 CLP | 115 |
| 400000 | 358.001-448.000 CLP | 145 |
| 750000 | 448.001-1.000.000 CLP | 111 |
| 1500000 | 1.000.001-2.000.000 CLP | 38 |
| 2500000 | 2.000.001-3.000.000 CLP | 9 |
| 3100000 | More than 3.000.000 CLP per month | 10 |
| 9999990 | NAP, other countries | 43763 |
| 9999998 | Don't know | 100 |
| 9999999 | No answer | 360 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 976 | 44223 |
Valid range from 20000 to 3100000
CZ_INC Country specific household income: Czech Republic
| Value 26666 | Frequency | |
|---|---|---|
| 3200 | 3.200 CZK per month, net | 1 |
| 140000 | 140.000 CZK per month | 1 |
| 999990 | NAP, other countries | 43771 |
| 999997 | Refused | 420 |
| 999998 | Don't know | 126 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 882 | 44317 | 3200 | 140000 |
Valid range from 3200 to 140000
DE_INC Country specific household income: Germany
| Value 26765 | Frequency | |
|---|---|---|
| 0 | No income | 9 |
| 90 | 90 EUR per month, net | 1 |
| 17000 | 17.000 EUR per month, net | 1 |
| 999990 | NAP, other countries | 43792 |
| 999997 | Refused | 183 |
| 999999 | No answer | 38 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1186 | 44013 | 0 | 17000 |
Valid range from 0 to 17000
DK_INC Country specific household income: Denmark
| Value 26864 | Frequency | |
|---|---|---|
| 70000 | Below 100.000 DKK per year, before taxes | 41 |
| 125000 | 100.000-149.999 DKK | 78 |
| 175000 | 150.000-199.999 DKK | 62 |
| 225000 | 200.000-249.999 DKK | 84 |
| 275000 | 250.000-299.999 DKK | 73 |
| 350000 | 300.000-399.999 DKK | 140 |
| 450000 | 400.000-499.999 DKK | 135 |
| 550000 | 500.000-599.999 DKK | 148 |
| 650000 | 600.000-699.999 DKK | 118 |
| 750000 | 700.000-799.999 DKK | 109 |
| 850000 | 800.000-899.999 DKK | 98 |
| 950000 | 900.000-999.999 DKK | 50 |
| 1050000 | 1.000.000 DKK or more per year | 82 |
| 9999990 | NAP, other countries | 43894 |
| 9999999 | No answer, don't know | 87 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1218 | 43981 | 70000 | 1050000 |
Valid range from 70000 to 1050000
ES_INC Country specific household income: Spain
| Value 26963 | Frequency | |
|---|---|---|
| 0 | No income | 0 |
| 250 | 300 EUR or less per month, net | 11 |
| 450 | 301-600 EUR | 133 |
| 750 | 601-900 EUR | 232 |
| 1050 | 901-1.200 EUR | 307 |
| 1500 | 1.201-1.800 EUR | 421 |
| 2100 | 1.801-2.400 EUR | 317 |
| 2700 | 2.401-3.000 EUR | 220 |
| 3750 | 3.001-4.500 EUR | 159 |
| 5250 | 4.501-6.000 EUR | 48 |
| 7000 | More than 6.000 EUR per month | 26 |
| 999990 | NAP, other countries | 42639 |
| 999998 | Don't know | 218 |
| 999999 | No answer | 468 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1874 | 43325 |
Valid range from 0 to 7000
FI_INC Country specific household income: Finland
| Value 27062 | Frequency | |
|---|---|---|
| 0 | No income | 5 |
| 110 | 110 EUR per month, gross income | 1 |
| 110000 | 110.000 EUR per month | 1 |
| 999990 | NAP, other countries | 43988 |
| 999999 | No answer | 392 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 819 | 44380 | 0 | 110000 |
Valid range from 0 to 110000
FR_INC Country specific household income: France
| Value 27161 | Frequency | |
|---|---|---|
| 0 | No income | 0 |
| 250 | Less than 500 EUR per month | 11 |
| 650 | 500-800 EUR | 34 |
| 1000 | 800-1.200 EUR | 109 |
| 1450 | 1.200-1.700 EUR | 182 |
| 2050 | 1.700-2.400 EUR | 281 |
| 2750 | 2.400-3.100 EUR | 288 |
| 3450 | 3.100-3.800 EUR | 208 |
| 4150 | 3.800-4.500 EUR | 177 |
| 5250 | 4.500-6.000 EUR | 155 |
| 6750 | 6.000-7.500 EUR | 79 |
| 8250 | More than 7.500 EUR per month | 77 |
| 999990 | NAP, other countries | 42946 |
| 999999 | No answer | 652 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1601 | 43598 |
Valid range from 0 to 8250
GB_INC Country specific household income: Great Britain (GB-GBN)
| Value 27260 | Frequency | |
|---|---|---|
| 590 | Less than 770 GBP per month, before taxes | 102 |
| 910 | 771-1.000 GBP | 80 |
| 1200 | 1.001-1.300 GBP | 82 |
| 1500 | 1.301-1.700 GBP | 65 |
| 1900 | 1.701-2.200 GBP | 77 |
| 2400 | 2.201-2.700 GBP | 64 |
| 3000 | 2.701-3.300 GBP | 72 |
| 3700 | 3.301-4.200 GBP | 81 |
| 4800 | 4.201-5.600 GBP | 80 |
| 7200 | 5.601 or more GBP per month | 92 |
| 999990 | NAP, other countries | 44271 |
| 999997 | Refused | 81 |
| 999998 | Don't know | 52 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 795 | 44404 | 590 | 7200 |
Valid range from 590 to 7200
HR_INC Country specific household income: Croatia
| Value 27359 | Frequency | |
|---|---|---|
| 700 | 700 HRK per month, net | 1 |
| 800 | 2 | |
| 900 | 1 | |
| 1000 | 4 | |
| 1200 | 3 | |
| 1300 | 2 | |
| 1500 | 3 | |
| 1600 | 1 | |
| 1700 | 1 | |
| 1800 | 7 | |
| 1900 | 3 | |
| 1950 | 1 | |
| 2000 | 18 | |
| 2100 | 3 | |
| 2200 | 6 | |
| 2300 | 3 | |
| 2400 | 4 | |
| 2500 | 17 | |
| 2600 | 3 | |
| 2700 | 3 | |
| 2800 | 6 | |
| 2850 | 1 | |
| 2900 | 1 | |
| 3000 | 22 | |
| 3100 | 2 | |
| 3200 | 7 | |
| 3250 | 1 | |
| 3300 | 5 | |
| 3400 | 1 | |
| 3500 | 20 | |
| 3550 | 1 | |
| 3600 | 1 | |
| 3700 | 1 | |
| 3800 | 5 | |
| 4000 | 34 | |
| 4100 | 2 | |
| 4200 | 7 | |
| 4300 | 1 | |
| 4400 | 2 | |
| 4500 | 19 | |
| 4550 | 1 | |
| 4590 | 1 | |
| 4600 | 1 | |
| 4750 | 1 | |
| 4800 | 4 | |
| 5000 | 30 | |
| 5200 | 3 | |
| 5300 | 2 | |
| 5400 | 2 | |
| 5500 | 11 | |
| 5600 | 1 | |
| 5700 | 2 | |
| 5800 | 2 | |
| 5900 | 1 | |
| 6000 | 41 | |
| 6100 | 1 | |
| 6200 | 4 | |
| 6300 | 2 | |
| 6350 | 1 | |
| 6500 | 8 | |
| 6800 | 3 | |
| 7000 | 34 | |
| 7200 | 2 | |
| 7300 | 1 | |
| 7500 | 14 | |
| 7800 | 5 | |
| 7900 | 1 | |
| 8000 | 47 | |
| 8300 | 1 | |
| 8500 | 9 | |
| 8700 | 1 | |
| 8800 | 1 | |
| 8900 | 1 | |
| 9000 | 32 | |
| 9200 | 2 | |
| 9500 | 8 | |
| 9650 | 1 | |
| 9800 | 2 | |
| 10000 | 36 | |
| 10200 | 1 | |
| 10300 | 1 | |
| 10400 | 1 | |
| 10500 | 3 | |
| 10600 | 1 | |
| 10800 | 1 | |
| 11000 | 18 | |
| 11230 | 1 | |
| 11400 | 1 | |
| 11500 | 3 | |
| 12000 | 15 | |
| 12500 | 2 | |
| 13000 | 11 | |
| 13500 | 2 | |
| 14000 | 16 | |
| 14500 | 2 | |
| 15000 | 24 | |
| 16000 | 2 | |
| 17000 | 3 | |
| 17300 | 1 | |
| 17500 | 1 | |
| 17800 | 1 | |
| 18000 | 1 | |
| 20000 | 4 | |
| 25000 | 1 | |
| 30000 | 1 | |
| 35000 | 1 | |
| 48200 | 48.200 HRK per month | 1 |
| 999990 | NAP, other countries | 43989 |
| 999997 | Refused | 410 |
| 999998 | Don't know | 124 |
| 999999 | No answer | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 665 | 44534 |
Valid range from 700 to 48200
IL_INC Country specific household income: Israel
| Value 27458 | Frequency | |
|---|---|---|
| 0 | No income | 0 |
| 1500 | 3.000 ILS and less, per month, net | 62 |
| 4000 | 3.501-4.500 ILS | 74 |
| 5000 | 4.501-6.000 ILS | 91 |
| 7000 | 6.001-8.000 ILS | 104 |
| 9000 | 8.000-10.000 ILS | 85 |
| 11000 | 10.001-12.000 ILS | 67 |
| 13500 | 12.001-15.000 ILS | 77 |
| 17500 | 15.000-20.000 ILS | 93 |
| 24000 | 20.001-28.000 ILS | 47 |
| 30000 | More than 28.000 ILS per month | 31 |
| 999990 | NAP, other countries | 43983 |
| 999997 | Refused | 291 |
| 999998 | Don't know | 112 |
| 999999 | No answer | 82 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 731 | 44468 |
Valid range from 0 to 30000
JP_INC Country specific household income: Japan
| Value 27557 | Frequency | |
|---|---|---|
| 1000000 | Less than 2.000.000 JPY per year | 159 |
| 2500000 | 2.000.000-2.999.999 JPY | 178 |
| 3500000 | 3.000.000-3.999.999 JPY | 170 |
| 4500000 | 4.000.000-4.999.999 JPY | 143 |
| 5500000 | 5.000.000-5.999.999 JPY | 121 |
| 6500000 | 6.000.000-6.999.999 JPY | 100 |
| 7500000 | 7.000.000-7.999.999 JPY | 71 |
| 8500000 | 8.000.000-8.999.999 JPY | 58 |
| 9500000 | 9.000.000-9.999.999 JPY | 63 |
| 11000000 | 10.000.000-11.999.999 JPY | 53 |
| 13500000 | 12.000.000-14.999.999 JPY | 34 |
| 20000000 | 15.000.000 JPY and more per year | 30 |
| 99999990 | NAP, other countries | 43892 |
| 99999999 | No answer | 127 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1180 | 44019 | 1000000 | 20000000 |
Valid range from 1000000 to 20000000
KR_INC Country specific household income: Korea (South)
| Value 27656 | Frequency | |
|---|---|---|
| 0 | No income | 30 |
| 300000 | Less than 500.000 KRW per month, before taxes, gross income | 92 |
| 745000 | 500.000-990.000 KRW | 89 |
| 1245000 | 1.000.000-1.490.000 KRW | 93 |
| 1745000 | 1.500.000-1.990.000 KRW | 102 |
| 2245000 | 2.000.000-2.490.000 KRW | 116 |
| 2745000 | 2.500.000-2.990.000 KRW | 99 |
| 3245000 | 3.000.000-3.490.000 KRW | 155 |
| 3745000 | 3.500.000-3.990.000 KRW | 85 |
| 4245000 | 4.000.000-4.490.000 KRW | 114 |
| 4745000 | 4.500.000-4.990.000 KRW | 63 |
| 5245000 | 5.000.000-5.490.000 KRW | 88 |
| 5745000 | 5.000.000-5.990.000 KRW | 24 |
| 6245000 | 6.000.000-6.490.000 KRW | 53 |
| 6745000 | 6.500.000-6.990.000 KRW | 19 |
| 7245000 | 7.000.000-7.490.000 KRW | 31 |
| 7745000 | 7.500.000-7.990.000 KRW | 9 |
| 8245000 | 8.000.000-8.490.000 KRW | 26 |
| 8745000 | 8.500.000-8.990.000 KRW | 8 |
| 9245000 | 9.000.000-9.490.000 KRW | 15 |
| 9745000 | 9.500.000-9.990.000 KRW | 3 |
| 10245000 | More than 10.000.000 KRW per month | 65 |
| 99999990 | NAP, other countries | 43623 |
| 99999997 | Refused | 63 |
| 99999998 | Don't know | 134 |
| 99999999 | No answer | 0 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1379 | 43820 | 0 | 10245000 |
Valid range from 0 to 10245000
LT_INC Country specific household income: Lithuania
| Value 27755 | Frequency | |
|---|---|---|
| 0 | No income | 83 |
| 130 | 130 LTL per month, before taxes | 1 |
| 150 | 1 | |
| 200 | 2 | |
| 247 | 1 | |
| 250 | 1 | |
| 300 | 7 | |
| 315 | 1 | |
| 347 | 1 | |
| 350 | 1 | |
| 360 | 1 | |
| 380 | 1 | |
| 400 | 5 | |
| 410 | 1 | |
| 478 | 1 | |
| 490 | 1 | |
| 500 | 7 | |
| 526 | 1 | |
| 530 | 1 | |
| 560 | 3 | |
| 600 | 14 | |
| 609 | 1 | |
| 615 | 1 | |
| 630 | 1 | |
| 640 | 3 | |
| 650 | 8 | |
| 670 | 1 | |
| 678 | 1 | |
| 680 | 9 | |
| 690 | 1 | |
| 700 | 21 | |
| 705 | 1 | |
| 720 | 2 | |
| 721 | 1 | |
| 725 | 1 | |
| 735 | 1 | |
| 740 | 1 | |
| 750 | 4 | |
| 760 | 2 | |
| 770 | 1 | |
| 778 | 1 | |
| 780 | 8 | |
| 790 | 2 | |
| 800 | 36 | |
| 814 | 1 | |
| 816 | 1 | |
| 820 | 4 | |
| 835 | 1 | |
| 836 | 1 | |
| 840 | 1 | |
| 850 | 3 | |
| 860 | 1 | |
| 870 | 4 | |
| 880 | 2 | |
| 890 | 3 | |
| 900 | 17 | |
| 901 | 1 | |
| 918 | 1 | |
| 920 | 3 | |
| 945 | 1 | |
| 950 | 5 | |
| 957 | 1 | |
| 960 | 2 | |
| 970 | 1 | |
| 980 | 2 | |
| 1000 | 48 | |
| 1030 | 1 | |
| 1080 | 1 | |
| 1100 | 9 | |
| 1120 | 1 | |
| 1150 | 1 | |
| 1200 | 21 | |
| 1220 | 1 | |
| 1250 | 1 | |
| 1300 | 15 | |
| 1305 | 1 | |
| 1345 | 1 | |
| 1350 | 1 | |
| 1360 | 1 | |
| 1400 | 17 | |
| 1430 | 1 | |
| 1469 | 1 | |
| 1500 | 37 | |
| 1520 | 1 | |
| 1600 | 15 | |
| 1610 | 1 | |
| 1640 | 1 | |
| 1665 | 1 | |
| 1700 | 11 | |
| 1712 | 1 | |
| 1730 | 1 | |
| 1783 | 1 | |
| 1800 | 12 | |
| 1850 | 1 | |
| 1878 | 1 | |
| 1900 | 6 | |
| 1950 | 2 | |
| 2000 | 54 | |
| 2020 | 1 | |
| 2100 | 4 | |
| 2200 | 8 | |
| 2300 | 6 | |
| 2400 | 4 | |
| 2460 | 1 | |
| 2500 | 24 | |
| 2600 | 8 | |
| 2700 | 2 | |
| 2800 | 5 | |
| 2900 | 1 | |
| 3000 | 35 | |
| 3100 | 2 | |
| 3200 | 1 | |
| 3300 | 1 | |
| 3400 | 2 | |
| 3500 | 14 | |
| 3600 | 2 | |
| 3700 | 2 | |
| 4000 | 12 | |
| 4300 | 1 | |
| 4400 | 1 | |
| 4500 | 9 | |
| 4700 | 1 | |
| 5000 | 13 | |
| 5500 | 3 | |
| 6000 | 1 | |
| 7000 | 1 | |
| 7500 | 1 | |
| 8000 | 3 | |
| 8200 | 1 | |
| 10000 | 1 | |
| 17010 | 1 | |
| 18000 | 1 | |
| 21000 | 21.000 LTL | 1 |
| 999990 | NAP, other countries | 44176 |
| 999997 | Refused | 218 |
| 999998 | Don't know | 56 |
| 999999 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 741 | 44458 |
Valid range from 0 to 21000
LV_INC Country specific household income: Latvia
| Value 27854 | Frequency | |
|---|---|---|
| 0 | No income | 9 |
| 8 | 8 LVL per month | 1 |
| 2000 | 2.000 LVL per month | 2 |
| 999990 | NAP, other countries | 44199 |
| 999997 | Refused | 257 |
| 999998 | Don't know | 216 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 527 | 44672 | 0 | 2000 |
Valid range from 0 to 2000
MX_INC Country specific household income: Mexico
| Value 27953 | Frequency | |
|---|---|---|
| 0 | No income | 0 |
| 100 | 100 MXN per month, net | 1 |
| 100000 | 100.000 MXN per month | 1 |
| 999990 | NAP, other countries | 43562 |
| 999997 | Refused | 682 |
| 999998 | Don't know | 298 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 657 | 44542 | 100 | 100000 |
Valid range from 0 to 100000
NO_INC Country specific household income: Norway
| Value 28052 | Frequency | |
|---|---|---|
| 0 | No income | 17 |
| 1000 | 1.000 NOK per year, gross income | 8 |
| 87000000 | 87.000.000 NOK per year | 1 |
| 99999990 | NAP, other countries | 43817 |
| 99999999 | No answer | 157 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1225 | 43974 | 0 | 87000000 |
Valid range from 0 to 87000000
NZ_INC Country specific household income: New Zealand
| Value 28151 | Frequency | |
|---|---|---|
| 10000 | 20.000 NZD or less per year, before taxes | 37 |
| 15000 | 15.000 NZD | 44 |
| 25000 | 20.001-30.000 NZD | 90 |
| 35000 | 30.001-40.000 NZD | 87 |
| 45000 | 40.001-50.000 NZD | 99 |
| 55000 | 50.001-60.000 NZD | 94 |
| 70000 | 60.001-80.000 NZD | 152 |
| 90000 | 80.001-100.000 NZD | 122 |
| 110000 | 100.001-120.000 NZD | 101 |
| 130000 | 120.001-140.000 NZD | 69 |
| 150000 | More than 140.001 NZD per year | 131 |
| 999990 | NAP, other countries | 44027 |
| 999999 | No answer | 146 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1026 | 44173 |
Valid range from 10000 to 150000
PH_INC Country specific household income: Philippines
| Value 28250 | Frequency | |
|---|---|---|
| 0 | No income | 6 |
| 200 | 200 PHP per month, gross income | 1 |
| 120000 | 120.000 PHP per month | 1 |
| 999990 | NAP, other countries | 43999 |
| 999997 | Refused | 7 |
| 999998 | Don't know | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1180 | 44019 | 0 | 120000 |
Valid range from 0 to 120000
RU_INC Country specific household income: Russia
| Value 28349 | Frequency | |
|---|---|---|
| 1000 | 1.000 RUB per month, net | 2 |
| 230000 | 230.000 RUB per month | 1 |
| 999990 | NAP, other countries | 43580 |
| 999997 | Refused | 232 |
| 999998 | Don't know | 131 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1256 | 43943 | 1000 | 230000 |
Valid range from 1000 to 230000
SE_INC Country specific household income: Sweden
| Value 28448 | Frequency | |
|---|---|---|
| 0 | No income | 0 |
| 1000 | 1.000 SEK per month before taxes | 1 |
| 650000 | 650.000 SEK per month | 1 |
| 999990 | NAP, other countries | 44018 |
| 999999 | No answer | 181 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1000 | 44199 | 1000 | 650000 |
Valid range from 0 to 650000
SI_INC Country specific household income: Slovenia
| Value 28547 | Frequency | |
|---|---|---|
| 0 | No income | 7 |
| 50 | 50 EUR per month, net | 1 |
| 7000 | 7.000 EUR per month | 1 |
| 9996 | 9.996 EUR or more per month | 4 |
| 999990 | NAP, other countries | 44117 |
| 999997 | Refused | 277 |
| 999998 | Don't know | 233 |
| 999999 | No answer | 77 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 495 | 44704 | 0 | 9996 |
Valid range from 0 to 9996
SK_INC Country specific household income: Slovak Republic
| Value 28646 | Frequency | |
|---|---|---|
| 100 | Up to 150 EUR (approx. 4.500 SKK) per month, net | 5 |
| 225 | 151-300 EUR (approx. 4.500-9.000 SKK) | 35 |
| 375 | 301-450 EUR (approx. 9.000-13.500 SKK) | 109 |
| 525 | 451-600 EUR (approx. 13.500-18.000 SKK) | 112 |
| 675 | 601-750 EUR (approx. 18.000-22.500 SKK) | 144 |
| 825 | 751-900 EUR (approx. 22.300-27.000 SKK) | 167 |
| 1050 | 901-1.200 EUR (approx. 27.000-36.000 SKK) | 177 |
| 1350 | 1.201-1.500 EUR (approx. 36.000-45.000 SKK) | 121 |
| 1750 | 1.501-2.000 EUR (approx. 45.000-60.000 SKK) | 68 |
| 2500 | 2.001-3.000 EUR (approx. 60.000-90.000 SKK) | 20 |
| 3500 | More than 3.000 EUR (more than 90.000 SKK) per month | 4 |
| 999990 | NAP, other countries | 44040 |
| 999998 | Don't know | 50 |
| 999999 | No answer | 147 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 962 | 44237 | 100 | 3500 |
Valid range from 100 to 3500
TR_INC Country specific household income: Turkey
| Value 28745 | Frequency | |
|---|---|---|
| 0 | No income | 62 |
| 50 | 50 TRY per month | 1 |
| 70000 | 70.000 TRY per month | 1 |
| 999990 | NAP, other countries | 43534 |
| 999998 | Don't know | 61 |
| 999999 | No answer | 133 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1471 | 43728 | 0 | 70000 |
Valid range from 0 to 70000
TW_INC Country specific household income: Taiwan
| Value 28844 | Frequency | |
|---|---|---|
| 0 | No income | 24 |
| 5000 | Less than 10.000 TWD per month | 93 |
| 15000 | 10.001-20.000 TWD | 124 |
| 25000 | 20.001-30.000 TWD | 171 |
| 35000 | 30.001-40.000 TWD | 212 |
| 45000 | 40.001-50.000 TWD | 185 |
| 55000 | 50.001-60.000 TWD | 191 |
| 65000 | 60.001-70.000 TWD | 162 |
| 75000 | 70.001-80.000 TWD | 118 |
| 85000 | 80.001-90.000 TWD | 109 |
| 95000 | 90.001-100.000 TWD | 112 |
| 105000 | 100.001-110.000 TWD | 97 |
| 115000 | 110.001-120.000 TWD | 57 |
| 125000 | 120.001-130.000 TWD | 47 |
| 135000 | 130.001-140.000 TWD | 22 |
| 145000 | 140.001-150.000 TWD | 53 |
| 155000 | 150.001-160.000 TWD | 34 |
| 165000 | 160.001-170.000 TWD | 6 |
| 175000 | 170.001-180.000 TWD | 11 |
| 185000 | 180.001-190.000 TWD | 11 |
| 195000 | 190.001-200.000 TWD | 27 |
| 250000 | 200.001-300.000 TWD | 29 |
| 350000 | 300.001-400.000 TWD | 19 |
| 450000 | 400.001-500.000 TWD | 1 |
| 750000 | 500.001-1.000.000 TWD per month | 6 |
| 999990 | NAP, other countries | 42990 |
| 999997 | Refused | 52 |
| 999998 | Don't know | 236 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1921 | 43278 | 0 | 750000 |
Valid range from 0 to 750000
US_INC Country specific household income: United States
| Value 28943 | Frequency | |
|---|---|---|
| 0 | No income | 0 |
| 500 | Under 1.000 USD per year, before taxes | 29 |
| 2000 | 1.000-2.999 USD | 21 |
| 3500 | 3.000-3.999 USD | 10 |
| 4500 | 4.000-4.999 USD | 6 |
| 5500 | 5.000-5.999 USD | 14 |
| 6500 | 6.000-6.999 USD | 12 |
| 7500 | 7.000-7.999 USD | 19 |
| 9000 | 8.000-9.999 USD | 26 |
| 11250 | 10.000-12499 USD | 55 |
| 13750 | 12500-14.999 USD | 43 |
| 16750 | 15.000-17.499 USD | 52 |
| 18750 | 17.500-19.999 USD | 23 |
| 21750 | 20.000-22.499 USD | 45 |
| 23750 | 22.500-24.999 USD | 56 |
| 27500 | 25.000-29.999 USD | 50 |
| 32500 | 30.000-34.999 USD | 73 |
| 37500 | 35.000-39.999 USD | 64 |
| 45000 | 40.000-49.999 USD | 109 |
| 55000 | 50.000-59.999 USD | 95 |
| 67500 | 60.000-74.999 USD | 121 |
| 82500 | 75.000-89.999 USD | 93 |
| 100000 | 90.000-109.999 USD | 70 |
| 120000 | 110.000-129.999 USD | 49 |
| 140000 | 130.000-149.999 USD | 44 |
| 160000 | 150.000 USD or more per year | 76 |
| 999990 | NAP, other countries | 43769 |
| 999997 | Refused | 99 |
| 999998 | Don't know | 76 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1255 | 43944 | 500 | 160000 |
Valid range from 0 to 160000
ZA_INC Country specific household income: South Africa
| Value 29042 | Frequency | |
|---|---|---|
| 0 | No income | 37 |
| 250 | 500 ZAR and less per month, before taxes | 83 |
| 625 | 501-750 ZAR | 95 |
| 875 | 751-1.000 ZAR | 127 |
| 1250 | 1.001-1.500 ZAR | 330 |
| 1750 | 1.501-2.000 ZAR | 264 |
| 2500 | 2.001-3.000 ZAR | 294 |
| 4000 | 3.001-5.000 ZAR | 271 |
| 6250 | 5.001-7.500 ZAR | 195 |
| 8750 | 7.501-10.000 ZAR | 132 |
| 12500 | 10.001-15.000 ZAR | 124 |
| 17500 | 15.001-20.000 ZAR | 109 |
| 25000 | 20.001-30.000 ZAR | 74 |
| 40000 | 30.001-50.000 ZAR | 47 |
| 60000 | More than 50.000 ZAR per month | 19 |
| 999990 | NAP, other countries | 42087 |
| 999997 | Refused | 536 |
| 999998 | Don't know | 316 |
| 999999 | No answer | 59 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2201 | 42998 | 0 | 60000 |
Valid range from 0 to 60000
MARITAL R: Marital status
| Value 29141 | Frequency | |
|---|---|---|
| 1 | Married | 23595 |
| 2 | Civil partnership | 1012 |
| 3 | Separated from spouse/ civil partner (still legally married/ | 887 |
| 4 | Divorced from spouse/ legally separated from civil partner, | 2932 |
| 5 | Widowed/ civil partner died | 3803 |
| 6 | Never married/ never in a civil partnership, single | 11133 |
| 0 | Not available: JP | 1307 |
| 7 | Refused | 120 |
| 8 | Don't know | 7 |
| 9 | No answer, DK: refused, no answer | 403 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43362 | 1837 | 1 | 6 |
Valid range from 1 to 6
URBRURAL Place of living: urban - rural
| Value 29240 | Frequency | |
|---|---|---|
| 1 | A big city | 13391 |
| 2 | The suburbs or outskirts of a big city | 5920 |
| 3 | A town or a small city | 11635 |
| 4 | A country village | 11761 |
| 5 | A farm or home in the country | 2238 |
| 7 | GB: other answer | 1 |
| 9 | No answer, AR,DK: don't know, no answer | 253 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44946 | 253 | 1 | 7 |
Valid range from 1 to 7
AR_REG Country specific region: Argentina
| Value 29339 | Frequency | |
|---|---|---|
| 1 | Buenos Aires Metropolitan Area | 392 |
| 2 | Greater CĂłrdoba (Pampeana) | 44 |
| 3 | Greater Rosario (Pampeana) | 36 |
| 4 | Greater Mendoza (Cuyo) | 28 |
| 5 | Greater San Miguel de Tucumán (Northwest) | 24 |
| 6 | Greater La Plata (Pampeana) | 23 |
| 7 | Greater Mar del Plata (Pampeana) | 20 |
| 11 | Pampeana Region - 300.000 to less than 500.000 | 16 |
| 12 | Pampeana Region - 100.000 to less than 300.000 | 32 |
| 13 | Pampeana Region - 50.000 to less than 100.000 | 48 |
| 14 | Pampeana Region - 2.000 to less than 50.000 | 149 |
| 15 | Pampeana Region - Rural population | 24 |
| 21 | Cuyo Region - 300.000 to less than 500.000 | 16 |
| 22 | Cuyo Region - 100.000 to less than 300.000 | 16 |
| 24 | Cuyo Region - 2.000 to less than 50.000 | 20 |
| 25 | Cuyo Region - Rural population | 8 |
| 31 | Northwest Region - 300.000 to less than 500.000 | 32 |
| 34 | Northwest Region - 2.000 to less than 50.000 | 54 |
| 35 | Northwest Region - Rural population | 16 |
| 41 | Northeast Region - 300.000 to less than 500.000 | 16 |
| 42 | Northeast Region - 100.000 to less than 300.000 | 16 |
| 44 | Northeast Region - 2.000 to less than 50.000 | 32 |
| 45 | Northeast Region - Rural population | 16 |
| 52 | Patagonia Region - 100.000 to less than 300.000 | 16 |
| 53 | Patagonia Region - 50.000 to less than 100.000 | 12 |
| 54 | Patagonia Region - 2.000 to less than 50.000 | 20 |
| 55 | Patagonia Region - Rural population | 4 |
| 0 | NAP, other countries | 44069 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1130 | 44069 | 1 | 55 |
Valid range from 1 to 55
AT_REG Country specific region: Austria
| Value 29438 | Frequency | |
|---|---|---|
| 1 | Vorarlberg | 48 |
| 2 | Tirol | 98 |
| 3 | Salzburg | 62 |
| 4 | Oberoesterreich | 146 |
| 5 | Kaernten | 157 |
| 6 | Steiermark | 69 |
| 7 | Burgenland | 36 |
| 8 | Niederoesterreich | 193 |
| 9 | Wien | 210 |
| 9999 | No answer | 0 |
| 0 | NAP, other countries | 44180 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1019 | 44180 | 1 | 9 |
Valid range from 1 to 9999
BE_REG Country specific region: Belgium/ Flanders (BE-FLA)
| Value 29537 | Frequency | |
|---|---|---|
| 1 | Antwerp | 330 |
| 2 | Flemish Brabant | 161 |
| 3 | West Flanders | 219 |
| 4 | East Flanders | 254 |
| 5 | Limburg | 148 |
| 6 | Brussels | 30 |
| 0 | NAP, other countries | 44057 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1142 | 44057 | 1 | 6 |
Valid range from 1 to 6
BG_REG Country specific region: Bulgaria
| Value 29636 | Frequency | |
|---|---|---|
| 0 | 44196 | |
| BG311 | 20 | |
| BG312 | 20 | |
| BG313 | 20 | |
| BG314 | 40 | |
| BG315 | 20 | |
| BG321 | 30 | |
| BG322 | 20 | |
| BG323 | 30 | |
| BG324 | 20 | |
| BG325 | 20 | |
| BG331 | 60 | |
| BG332 | 30 | |
| BG333 | 30 | |
| BG334 | 20 | |
| BG341 | 50 | |
| BG342 | 20 | |
| BG343 | 10 | |
| BG344 | 50 | |
| BG411 | 163 | |
| BG412 | 30 | |
| BG413 | 50 | |
| BG414 | 20 | |
| BG415 | 20 | |
| BG421 | 80 | |
| BG422 | 40 | |
| BG423 | 40 | |
| BG424 | 20 | |
| BG425 | 30 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45199 | 0 |
CA_REG Country specific region: Canada
| Value 29735 | Frequency | |
|---|---|---|
| 1 | Newfoundland and Labrador | 56 |
| 2 | Nova Scotia | 85 |
| 3 | Prince Edward Island | 59 |
| 4 | New Brunswick | 62 |
| 5 | Quebec | 186 |
| 6 | Ontario | 303 |
| 7 | Manitoba | 52 |
| 8 | Saskatchewan | 47 |
| 9 | Alberta | 53 |
| 10 | British Colombia | 74 |
| 0 | NAP, other countries | 44214 |
| 9999 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 977 | 44222 |
Valid range from 1 to 10
CH_REG Country specific region: Switzerland
| Value 29834 | Frequency | |
|---|---|---|
| 1 | Region lemanique (VD, VS, GE) | 206 |
| 2 | Espace Mittelland (BE, FR, SO, NE, JU) | 291 |
| 3 | Nordschweiz (BS, BL, AG) | 156 |
| 4 | Zuerich (ZH) | 200 |
| 5 | Ostschweiz (GL, SH, AR, AI, SG, GR, TG) | 217 |
| 6 | Zentralschweiz (LU, UR, SZ, OW, NW, ZG) | 103 |
| 7 | Ticino (TI) | 39 |
| 0 | NAP, other countries | 43987 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1212 | 43987 |
Valid range from 1 to 7
CL_REG Country specific region: Chile
| Value 29933 | Frequency | |
|---|---|---|
| 1 | Tarapaca | 22 |
| 2 | Antofagasta | 50 |
| 3 | Atacama | 22 |
| 4 | Coquimbo | 68 |
| 5 | Valparaiso | 138 |
| 6 | Libertador General | 87 |
| 7 | Maule | 99 |
| 8 | Biobio | 197 |
| 9 | La Araucania | 82 |
| 10 | Los Lagos | 78 |
| 11 | Aisen | 6 |
| 12 | Magallanes and Antartica Chilena | 15 |
| 13 | Metropolitana de Santiago | 510 |
| 14 | Los Lagos | 40 |
| 15 | Arica y Parinacota | 22 |
| 0 | NAP, other countries | 43763 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1436 | 43763 |
Valid range from 1 to 15
CZ_REG Country specific region: Czech Republic
| Value 30032 | Frequency | |
|---|---|---|
| 1 | Prague | 168 |
| 2 | Central Bohemia | 174 |
| 3 | South Bohemia | 85 |
| 4 | Pilsen | 80 |
| 5 | Carlsbad | 44 |
| 6 | Usti | 111 |
| 7 | Liberec | 63 |
| 8 | Hradec Kralove | 72 |
| 9 | Pardubice | 69 |
| 10 | Vysocina | 65 |
| 11 | South Moravia | 162 |
| 12 | Olomouc | 84 |
| 13 | Moravia-Silesia | 174 |
| 14 | Zlin | 77 |
| 0 | NAP, other countries | 43771 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1428 | 43771 | 1 | 14 |
Valid range from 1 to 14
DE_REG Country specific region: Germany
| Value 30131 | Frequency | |
|---|---|---|
| 1 | Schleswig-Holstein | 40 |
| 2 | Hamburg | 18 |
| 3 | Niedersachsen | 107 |
| 4 | Bremen | 10 |
| 5 | Nordrhein-Westfalen | 260 |
| 6 | Hessen | 95 |
| 7 | Rheinland-Pfalz | 45 |
| 8 | Baden-Wuerttemberg | 145 |
| 9 | Bayern | 232 |
| 10 | Saarland | 21 |
| 11 | Berlin-Ost | 30 |
| 12 | Mecklenburg-Vorpommern | 54 |
| 13 | Brandenburg | 74 |
| 14 | Sachsen-Anhalt | 80 |
| 15 | Thueringen | 77 |
| 16 | Sachsen | 103 |
| 17 | Berlin-West | 16 |
| 0 | NAP, other countries | 43792 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1407 | 43792 |
Valid range from 1 to 17
DK_REG Country specific region: Denmark
| Value 30230 | Frequency | |
|---|---|---|
| 1 | Capital Region of Denmark | 142 |
| 2 | Region Sealand | 301 |
| 3 | Region of Southern Denmark | 303 |
| 4 | Central Region of Denmark | 385 |
| 5 | Region Northern Jutland | 174 |
| 0 | NAP, other countries | 43894 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1305 | 43894 |
Valid range from 1 to 5
ES_REG Country specific region: Spain
| Value 30329 | Frequency | |
|---|---|---|
| 1 | Andalucia | 473 |
| 2 | Aragon | 84 |
| 3 | Asturias | 71 |
| 4 | Baleares | 49 |
| 5 | Canarias | 108 |
| 6 | Cantabria | 43 |
| 7 | Castilla-La Mancha | 118 |
| 8 | Castilla-Leon | 172 |
| 9 | Cataluna | 394 |
| 10 | Comunidad Valenciana | 250 |
| 11 | Extremadura | 69 |
| 12 | Galicia | 198 |
| 13 | Madrid | 278 |
| 14 | Region de Murcia | 84 |
| 15 | Navarra | 35 |
| 16 | Pais Vasco | 114 |
| 17 | La Rioja | 20 |
| 0 | NAP, other countries | 42639 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2560 | 42639 |
Valid range from 1 to 17
FI_REG Country specific region: Finland
| Value 30428 | Frequency | |
|---|---|---|
| 1 | Uusimaa | 311 |
| 2 | Varsinais-Suomi | 92 |
| 4 | Satakunta | 45 |
| 5 | Kanta-Haeme | 38 |
| 6 | Pirkanmaa | 118 |
| 7 | Paeijaet-Haeme | 44 |
| 8 | Kymenlaakso | 45 |
| 9 | South Karelia | 35 |
| 10 | Etelae-Savo | 39 |
| 11 | Pohjois-Savo | 57 |
| 12 | North Karelia | 39 |
| 13 | Central Finland | 62 |
| 14 | South Ostrobothnia | 48 |
| 15 | Ostrobothnia | 38 |
| 16 | Central Ostrobothnia | 16 |
| 17 | North Ostrobothnia | 96 |
| 18 | Kainuu | 26 |
| 19 | Lapland | 32 |
| 20 | Itae-Uusimaa | 20 |
| 21 | Aland | 10 |
| 0 | NAP, other countries | 43988 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1211 | 43988 |
Valid range from 1 to 21
FR_REG Country specific region: France
| Value 30527 | Frequency | |
|---|---|---|
| 1 | Ain | 15 |
| 2 | Aisne | 11 |
| 3 | Allier | 17 |
| 4 | Alpes-Haute-Provence | 6 |
| 5 | Hautes-Alpes | 5 |
| 6 | Alpes-Maritimes | 37 |
| 7 | Ardeche | 14 |
| 8 | Ardennes | 12 |
| 9 | Ariege | 7 |
| 10 | Aube | 12 |
| 11 | Aude | 11 |
| 12 | Aveyron | 14 |
| 13 | Bouche-du-Rhone | 49 |
| 14 | Calvados | 28 |
| 15 | Cantal | 5 |
| 16 | Charente | 23 |
| 17 | Charente-Maritime | 35 |
| 18 | Cher | 13 |
| 19 | Correze | 10 |
| 20 | Corse | 7 |
| 21 | Cote-d Or | 26 |
| 22 | Cotes-d Armor | 28 |
| 23 | Creuse | 10 |
| 24 | Dordogne | 16 |
| 25 | Doubs | 27 |
| 26 | Drome | 23 |
| 27 | Eure | 27 |
| 28 | Eure-et-Loire | 13 |
| 29 | Finistere | 46 |
| 30 | Gard | 32 |
| 31 | Haute-Garonne | 39 |
| 32 | Gers | 10 |
| 33 | Gironde | 60 |
| 34 | Herault | 40 |
| 35 | Ille-et-Vilaine | 34 |
| 36 | Indre | 8 |
| 37 | Indre-et-Loire | 20 |
| 38 | Isere | 41 |
| 39 | Jura | 14 |
| 40 | Landes | 10 |
| 41 | Loir-et-Cher | 13 |
| 42 | Loire | 28 |
| 43 | Haute-Loire | 13 |
| 44 | Loire-Atlantique | 48 |
| 45 | Loiret | 23 |
| 46 | Lot | 12 |
| 47 | Lot-et-Garonne | 21 |
| 48 | Lozere | 4 |
| 49 | Maine-et-Loire | 24 |
| 50 | Manche | 21 |
| 51 | Marne | 25 |
| 52 | Haute-Marne | 9 |
| 53 | Mayenne | 8 |
| 54 | Meurthe-et-Moselle | 31 |
| 55 | Meuse | 9 |
| 56 | Morbihan | 41 |
| 57 | Moselle | 39 |
| 58 | Nievre | 13 |
| 59 | Nord | 72 |
| 60 | Oise | 15 |
| 61 | Orne | 18 |
| 62 | Pas-de-Calais | 54 |
| 63 | Puy-de-Dome | 31 |
| 64 | Pyrenees-Atlantiques | 32 |
| 65 | Hautes-Pyrenees | 8 |
| 66 | Pyrenees-Orientales | 13 |
| 67 | Bas-Rhin | 42 |
| 68 | Haut-Rhin | 28 |
| 69 | Rhone | 56 |
| 70 | Haute-Saone | 10 |
| 71 | Saone-et-Loire | 32 |
| 72 | Sarthe | 17 |
| 73 | Savoie | 18 |
| 74 | Haute-Savoie | 38 |
| 75 | Ville de Paris | 81 |
| 76 | Seine-Maritime | 48 |
| 77 | Seine-et-Marne | 36 |
| 78 | Yvelines | 38 |
| 79 | Deux-Sevres | 15 |
| 80 | Somme | 14 |
| 81 | Tarn | 18 |
| 82 | Tarn-et-Garonne | 15 |
| 83 | Var | 27 |
| 84 | Vaucluse | 19 |
| 85 | Vendee | 28 |
| 86 | Vienne | 16 |
| 87 | Haute-Vienne | 14 |
| 88 | Vosges | 21 |
| 89 | Yonne | 11 |
| 90 | Belfort (Territoire) | 2 |
| 91 | Essone | 19 |
| 92 | Hauts-de-Seine | 39 |
| 93 | Seine-Saint-Denis | 14 |
| 94 | Val-de-Marne | 25 |
| 95 | Val-d Oise | 20 |
| 0 | NAP, other countries | 42946 |
| 99 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2241 | 42958 |
Valid range from 1 to 95
GB_REG Country specific region: Great Britain (GB-GBN)
| Value 30626 | Frequency | |
|---|---|---|
| 1 | Scotland | 99 |
| 2 | North, North West,Yorkshire Humbershire | 247 |
| 3 | West, East Midlands | 143 |
| 4 | Wales | 39 |
| 5 | East Anglia,South West, South-East | 310 |
| 6 | Greater London | 90 |
| 0 | NAP, other countries | 44271 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 928 | 44271 | 1 | 6 |
Valid range from 1 to 6
HR_REG Country specific region: Croatia
| Value 30725 | Frequency | |
|---|---|---|
| 1 | Zagreb | 299 |
| 2 | North Croatia | 217 |
| 3 | Slavonija | 209 |
| 4 | Lika and Banovina | 107 |
| 5 | Istra and Hrvatsko | 146 |
| 6 | Dalmacija | 232 |
| 0 | NAP, other countries | 43989 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1210 | 43989 |
Valid range from 1 to 6
IL_REG Country specific region: Israel
| Value 30824 | Frequency | |
|---|---|---|
| 1 | North | 230 |
| 2 | South | 166 |
| 3 | Tel-Aviv | 483 |
| 4 | Jerusalem | 144 |
| 5 | Arab sector | 193 |
| 0 | NAP, other countries | 43983 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1216 | 43983 |
Valid range from 1 to 5
JP_REG Country specific region: Japan
| Value 30923 | Frequency | |
|---|---|---|
| 1 | Hokkaido | 57 |
| 2 | Tohoku | 101 |
| 3 | Kanto | 418 |
| 4 | Koshin-etsu | 69 |
| 5 | Tokai, Hokuriku | 193 |
| 6 | Kinki | 189 |
| 7 | Chugoku | 83 |
| 8 | Shikoku | 41 |
| 9 | Kyushu | 156 |
| 0 | NAP, other countries | 43892 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1307 | 43892 |
Valid range from 1 to 9
KR_REG Country specific region: Korea (South)
| Value 31022 | Frequency | |
|---|---|---|
| 1 | Seoul metropolitan city | 300 |
| 2 | Gyeonggi province | 360 |
| 3 | Incheon metropolitan city | 78 |
| 4 | Gangwon province | 42 |
| 5 | Chungchong province | 121 |
| 6 | Daejon metropolitan city | 52 |
| 7 | Gyeongsang province | 194 |
| 8 | Busan metropolitan city | 113 |
| 9 | Ulsan metropolitan city | 32 |
| 10 | Daegu metropolitan city | 75 |
| 11 | Jeolla province | 141 |
| 12 | Gwangju metropolitan city | 51 |
| 13 | Jeju province | 17 |
| 0 | NAP, other countries | 43623 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1576 | 43623 | 1 | 13 |
Valid range from 1 to 13
LT_REG Country specific region: Lithuania
| Value 31121 | Frequency | |
|---|---|---|
| 1 | Alytus | 52 |
| 2 | Kaunas | 201 |
| 3 | Klaipeda | 111 |
| 4 | Marijampole | 60 |
| 5 | Panevezys | 95 |
| 6 | Siauliai | 107 |
| 7 | Taurage | 48 |
| 8 | Telsiai | 48 |
| 9 | Utena | 49 |
| 10 | Vilnius | 252 |
| 0 | NAP, other countries | 44176 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1023 | 44176 |
Valid range from 1 to 10
LV_REG Country specific region: Latvia
| Value 31220 | Frequency | |
|---|---|---|
| 1 | Riga | 325 |
| 2 | Pieriga | 166 |
| 3 | Vidzeme | 118 |
| 4 | Kurzeme | 143 |
| 5 | Zemgale | 111 |
| 6 | Latgale | 137 |
| 0 | NAP, other countries | 44199 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1000 | 44199 | 1 | 6 |
Valid range from 1 to 6
MX_REG Country specific region: Mexico
| Value 31319 | Frequency | |
|---|---|---|
| 1 | Aguascalientes | 0 |
| 2 | Baja California | 0 |
| 3 | Baja California Sur | 51 |
| 4 | Campeche | 0 |
| 5 | Coahuila | 0 |
| 6 | Colima | 0 |
| 7 | Chiapas | 154 |
| 8 | Chihuahua | 71 |
| 9 | Distrito Federal | 293 |
| 10 | Durango | 0 |
| 11 | Guanajuato | 0 |
| 12 | Guerrero | 39 |
| 13 | Hidalgo | 41 |
| 14 | Jalisco | 97 |
| 15 | Mexico | 240 |
| 16 | Michoacan | 63 |
| 17 | Morelos | 0 |
| 18 | Nayarit | 95 |
| 19 | Nuevo Leon | 81 |
| 20 | Oaxaca | 0 |
| 21 | Puebla | 0 |
| 22 | Queretaro | 131 |
| 23 | Quintana Roo | 0 |
| 24 | San Luis Potosi | 64 |
| 25 | Sinaloa | 0 |
| 26 | Sonora | 0 |
| 27 | Tabasco | 0 |
| 28 | Tamaulipas | 0 |
| 29 | Tlaxcala | 48 |
| 30 | Veracruz | 169 |
| 31 | Yucatan | 0 |
| 32 | Zacatecas | 0 |
| 0 | NAP, other countries | 43562 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1637 | 43562 | 3 | 30 |
Valid range from 1 to 32
NO_REG Country specific region: Norway
| Value 31418 | Frequency | |
|---|---|---|
| 1 | Central East | 311 |
| 2 | East | 375 |
| 3 | South | 78 |
| 4 | West | 342 |
| 5 | Middle | 140 |
| 6 | North | 136 |
| 0 | NAP, other countries | 43817 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1382 | 43817 |
Valid range from 1 to 6
NZ_REG Country specific region: New Zealand
| Value 31517 | Frequency | |
|---|---|---|
| 1 | Northland | 54 |
| 2 | Auckland | 319 |
| 3 | Thames Valley | 14 |
| 4 | Bay of Plenty | 72 |
| 5 | Waikato | 98 |
| 6 | Tongariro | 7 |
| 7 | East Cape | 7 |
| 8 | Hawkes Bay | 46 |
| 9 | Taranaki | 33 |
| 10 | Wanganui | 10 |
| 11 | Manawatu-Rangitikei | 37 |
| 12 | Horowhenua | 19 |
| 13 | Wellington | 101 |
| 14 | Wairarapa | 16 |
| 15 | Nelson Bays | 38 |
| 16 | Marlborough | 17 |
| 17 | West Coast | 12 |
| 18 | Canterbury | 162 |
| 19 | Aorangi | 10 |
| 20 | Clutha-Centr Otago | 24 |
| 21 | Coastal-North Otago | 46 |
| 22 | Southland | 30 |
| 0 | NAP, other countries | 44027 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1172 | 44027 |
Valid range from 1 to 22
PH_REG Country specific region: Philippines
| Value 31616 | Frequency | |
|---|---|---|
| 1 | National Capital Region (NCR) | 300 |
| 2 | Balance Luzon | 300 |
| 3 | Visayas | 300 |
| 4 | Mindanao | 300 |
| 0 | NAP, other countries | 43999 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 43999 |
Valid range from 1 to 4
RU_REG Country specific region: Russia
| Value 31715 | Frequency | |
|---|---|---|
| 1 | North | 54 |
| 2 | North-West | 100 |
| 3 | Central | 326 |
| 4 | Volga-Vyatka | 69 |
| 5 | Black Earth | 122 |
| 6 | Volga Region | 224 |
| 7 | North Caucasus | 190 |
| 8 | Urals | 204 |
| 9 | West Siberia | 192 |
| 10 | East Siberia | 65 |
| 11 | Far East | 73 |
| 0 | NAP, other countries | 43580 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1619 | 43580 | 1 | 11 |
Valid range from 1 to 11
SE_REG Country specific region: Sweden
| Value 31814 | Frequency | |
|---|---|---|
| 1 | Stockholm/Södertälje | 235 |
| 2 | Norrtälje | 13 |
| 3 | Enköping | 5 |
| 4 | Uppsala | 31 |
| 5 | Nyköping | 9 |
| 6 | Katrineholm | 7 |
| 7 | Eskilstuna | 16 |
| 8 | Mjölby/Motala | 10 |
| 9 | Linköping | 11 |
| 10 | Norrköping | 29 |
| 11 | Jönköping | 17 |
| 12 | TranĂĄs | 9 |
| 13 | Eksjö/Nässjö/Vetlanda | 9 |
| 14 | Värnamo | 13 |
| 15 | Ljungby | 5 |
| 16 | Växjö | 13 |
| 17 | Västervik | 3 |
| 18 | Hultsfred/Vimmerby | 1 |
| 19 | Oskarshamn | 8 |
| 20 | Kalmar/Nybro | 13 |
| 21 | Visby | 5 |
| 22 | Karlskrona | 10 |
| 23 | Karlshamn | 10 |
| 24 | Kristianstad | 9 |
| 25 | Hässleholm | 9 |
| 26 | Ă„ngelholm | 9 |
| 27 | Helsingborg/Landskrona | 30 |
| 28 | Malmö/Lund/Trelleborg | 67 |
| 29 | Ystad/Simrishamn | 7 |
| 30 | Eslöv | 9 |
| 31 | Halmstad | 9 |
| 32 | Falkenberg/Varberg | 14 |
| 33 | Göteborg/Alingsås | 135 |
| 34 | Uddevalla | 19 |
| 35 | Trollhättan/Vänersborg | 17 |
| 36 | BorĂĄs | 22 |
| 37 | Lidköping/Skara | 10 |
| 38 | Falköping | 6 |
| 39 | Skövde | 7 |
| 40 | Mariestad | 8 |
| 41 | Kristinehamn/Filipstad | 3 |
| 42 | Karlstad | 16 |
| 43 | Säffle/Åmål | 3 |
| 44 | Arvika | 6 |
| 45 | Ă–rebro | 15 |
| 46 | Karlskoga | 3 |
| 47 | Lindesberg | 3 |
| 48 | Västerås | 31 |
| 49 | Köping | 8 |
| 50 | Fagersta | 4 |
| 51 | Sala | 3 |
| 52 | Borlänge/Falun | 30 |
| 53 | Avesta/Hedemora | 3 |
| 54 | Ludvika | 5 |
| 55 | Mora | 8 |
| 56 | Gävle/Sandviken | 24 |
| 57 | Bollnäs/Söderhamn | 6 |
| 58 | Hudiksvall/Ljusdal | 10 |
| 59 | Sundsvall | 10 |
| 60 | Härnösand/Kramfors | 6 |
| 61 | SollefteĂĄ | 1 |
| 62 | Örnsköldsvik | 9 |
| 63 | Ă–stersund | 25 |
| 64 | UmeĂĄ | 25 |
| 65 | SkellefteĂĄ | 15 |
| 66 | Lycksele | 6 |
| 67 | PiteĂĄ | 10 |
| 68 | LuleĂĄ/Boden | 13 |
| 69 | Haparanda/Kalix | 3 |
| 70 | Kiruna/Gällivare | 8 |
| 0 | NAP, other countries | 44018 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1181 | 44018 | 1 | 70 |
Valid range from 1 to 70
SI_REG Country specific region: Slovenia
| Value 31913 | Frequency | |
|---|---|---|
| 1 | Pomurska | 77 |
| 2 | Podravska | 180 |
| 3 | Koroska | 38 |
| 4 | Savinjska | 135 |
| 5 | Gorenjska | 109 |
| 6 | Zasavska | 40 |
| 7 | Osrednja | 241 |
| 8 | Spodnjeposavska | 41 |
| 9 | Dolenjska | 78 |
| 10 | Goriska | 61 |
| 11 | Obalnokraska | 56 |
| 12 | Kraska | 26 |
| 0 | NAP, other countries | 44117 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1082 | 44117 | 1 | 12 |
Valid range from 1 to 12
SK_REG Country specific region: Slovak Republic
| Value 32012 | Frequency | |
|---|---|---|
| 1 | Bratislava county | 136 |
| 2 | Trnava county | 130 |
| 3 | Trencin county | 118 |
| 4 | Nitra county | 154 |
| 5 | Zilina county | 139 |
| 6 | Banska Bystrica county | 149 |
| 7 | Presov county | 167 |
| 8 | Kosice county | 166 |
| 0 | NAP, other countries | 44040 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1159 | 44040 | 1 | 8 |
Valid range from 1 to 8
TR_REG Country specific region: Turkey
| Value 32111 | Frequency | |
|---|---|---|
| 1 | Istanbul | 248 |
| 2 | Aegean | 206 |
| 3 | Mediterranean | 246 |
| 4 | Southeastern Anatolia | 160 |
| 5 | Western Anatolia | 135 |
| 6 | Eastern Marmara | 161 |
| 7 | Western Black Sea | 131 |
| 8 | Central Anatolia | 123 |
| 9 | Central Eastern Anatolia | 103 |
| 10 | Eastern Black Sea | 45 |
| 11 | Western Marmara | 72 |
| 12 | North Eastern Anatolia | 35 |
| 0 | NAP, other countries | 43534 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1665 | 43534 | 1 | 12 |
Valid range from 1 to 12
TW_REG Country specific region: Taiwan
| Value 32210 | Frequency | |
|---|---|---|
| 1 | Keelung city | 61 |
| 2 | Taipei city | 189 |
| 3 | Taipei county | 273 |
| 4 | Taoyuan county | 237 |
| 5 | Hsinchu city | 5 |
| 6 | Hsinchu county | 4 |
| 7 | Miaoli county | 51 |
| 8 | Taichung city | 106 |
| 9 | Taichung county | 100 |
| 10 | Nantou county | 1 |
| 11 | Changhua county | 81 |
| 12 | Yunlin county | 52 |
| 13 | Chiayi city | 21 |
| 14 | Chiayi country | 44 |
| 15 | Tainan city | 38 |
| 16 | Tainan county | 46 |
| 17 | Kaohsiung city | 162 |
| 18 | Kaohsiung county | 161 |
| 19 | Pingtung county | 76 |
| 20 | Ilan county | 185 |
| 21 | Hualien county | 173 |
| 22 | Taitung county | 141 |
| 0 | NAP, other countries | 42990 |
| 9999 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2207 | 42992 |
Valid range from 1 to 22
US_REG Country specific region: United States
| Value 3239 | Frequency | |
|---|---|---|
| 1 | New England | 59 |
| 2 | Middle Atlantic | 187 |
| 3 | East North Central | 253 |
| 4 | West North Central | 85 |
| 5 | South Atlantic | 295 |
| 6 | East South Central | 87 |
| 7 | West South Central | 158 |
| 8 | Mountain | 97 |
| 9 | Pacific | 209 |
| 0 | NAP, other countries | 43769 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1430 | 43769 |
Valid range from 1 to 9
ZA_REG Country specific region: South Africa
| Value 3248 | Frequency | |
|---|---|---|
| 1 | Western Cape | 392 |
| 2 | Eastern Cape | 412 |
| 3 | Northern Cape | 203 |
| 4 | Free State | 256 |
| 5 | Kwa-Zulu Natal | 624 |
| 6 | North West | 165 |
| 7 | Gauteng | 537 |
| 8 | Mpumalanga | 236 |
| 9 | Limpopo | 287 |
| 0 | NAP, other countries | 42087 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 3112 | 42087 |
Valid range from 1 to 9
CASEID ID Number of Respondent
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45199 | 0 | 82614220010 | 20110100010103 | 18129295844165.1 | 5885318351115.24 |
Valid range from 82614220010 to 20110100010103
SUBSCASE Case substitution flag
| Value 3266 | Frequency | |
|---|---|---|
| 1 | Case from original sample | 7093 |
| 2 | Case substituted | 1001 |
| 0 | NAP, no substitution in this survey | 37105 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 8094 | 37105 | 1 | 2 |
Valid range from 1 to 2
DATEYR Year of interview; YYYY (four digits)
| Value 3275 | Frequency | |
|---|---|---|
| 2009 | Year 2009 | 1159 |
| 2010 | Year 2010 | 32437 |
| 2011 | Year 2011 | 11561 |
| 9999 | No answer | 42 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45157 | 42 | 2009 | 2011 |
Valid range from 2009 to 2011
DATEMO Month of interview: MM (two digits)
| Value 3284 | Frequency | |
|---|---|---|
| 1 | January | 751 |
| 2 | February | 592 |
| 3 | March | 2547 |
| 4 | April | 1789 |
| 5 | May | 3716 |
| 6 | June | 4076 |
| 7 | July | 3370 |
| 8 | August | 4383 |
| 9 | September | 4943 |
| 10 | October | 3021 |
| 11 | November | 5016 |
| 12 | December | 4515 |
| 0 | Not available: FR,KR,NZ,NO | 6383 |
| 99 | No answer | 97 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 38719 | 6480 | 1 | 12 |
Valid range from 1 to 12
DATEDY Day of interview: DD (Two digits)
| Value 3293 | Frequency | |
|---|---|---|
| 0 | NAP: FI; not available: CA,FR,KR,NZ,NO,ZA | 10933 |
| 99 | No answer | 67 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 34199 | 11000 | 1 | 31 | 15.354 | 9.007 |
Valid range from 1 to 31
WEIGHT Weighting factor
| Value 3302 | Frequency | |
|---|---|---|
| 1 | No weighting | 16676 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45199 | 0 | 0.00547 | 24.079 |
Valid range from 0.005466143563538 to 24.0789525901939
MODE Administrative mode of data-collection
| Value 3311 | Frequency | |
|---|---|---|
| 10 | F2F, PAPI, no visuals | 5960 |
| 11 | F2F, PAPI, visuals | 15849 |
| 12 | F2F, PAPI, respondent reading questionnaire | 1130 |
| 13 | F2F, PAPI, interpreter or translator, no visuals | 14 |
| 14 | F2F, PAPI, interpreter or translator, visuals | 4312 |
| 20 | CAPI, no visuals | 295 |
| 21 | CAPI, visuals | 2488 |
| 22 | CAPI, respondent reading questionnaire | 1019 |
| 23 | CAPI, interpreter or translator, no visuals | 0 |
| 24 | CAPI, interpreter or translator, visuals | 0 |
| 30 | SC, arrives with interviewer, interviewer attendg | 452 |
| 31 | SC, arrives with interviewer, drops-off, picks up later | 1676 |
| 32 | SC, arrives with interviewer, drops-off,mailed back by R | 1249 |
| 33 | SC, mailed to, hold for pick up | 0 |
| 34 | SC, mailed back by R | 6951 |
| 40 | CASI, self-completion, computer assisted | 1870 |
| 41 | Self-completion, web questionnire | 475 |
| 52 | US: CAPI, phone | 146 |
| 0 | Not available: DK | 1305 |
| 99 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43886 | 1313 | 10 | 52 |
Valid range from 10 to 52
Materials of the Study
- ISSP raziskovalna skupina (2009). ISSP 2010 - Environment III, Basic Questionnaire [Vprašalnik].
- ISSP raziskovalna skupina (2010). ISSP 2010 - Environment III, 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. (2012). Mednarodna splošna družboslovna anketa (ISSP), 2010: Okolje III [Podatkovna datoteka]. Cologne: GESIS Datenarchiv. ZA5500, Različica 2.0.0. http://dx.doi.org/10.4232/1.11418 ADP - IDNo: ISSP10.
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
ISSP11 - Mednarodna splošna družboslovna anketa (ISSP), 2011: Zdravje
ISSP13 - Mednarodna splošna družboslovna anketa (ISSP), 2013: Nacionalna identiteta III
ISSP14 - Mednarodna splošna družboslovna anketa (ISSP), 2014: Razumevanje vloge državljana II
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
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CONFERENCES AND EVENTS
