Mednarodna splošna družboslovna anketa (ISSP), 2012: Družina in spreminjanje spolnih vlog IV
Basic Study Information
ADP - IDNo: ISSP12
Main author(s):
Data file producer:
GESIS - GESIS Datenarchiv, GESIS Leibniz-Institute for the Social Sciences (Cologne; 2016)
Funding agency:
Vsaka raziskovalna organizacija krije svoje stroške raziskave. Skupnega financiranja ni.
Project number:
no information
Series:
- ISSP/Mednarodna splošna družboslovna anketa = International Social Survey Programme
Mednarodna družboslovna anketa (ISSP) je kontinuiran program mednarodnega sodelovanja v letnih anketah, ki pokrivajo pomembne teme za družboslovno znanstveno raziskovanje. Združuje že obstoječe družbeno-znanstvene projekte in usklajuje raziskovalne cilje ter tako dodaja posameznim nacionalnim raziskavam mednarodni in medkulturni vidik. Vsaka posamezna raziskava (tematski modul) se ukvarja z določeno družboslovno tematiko. Tako raziskave ISSP do sedaj vsebujejo vprašanja o odnosu posameznika do številnih družbenih tem, kot so: okolje, vloga vlade, družbene neenakosti, socialno podporo, družina in spolne vloge, delo in delovne usmeritve, religija, državljanstvo, nacionalna identiteta, zdravje in zdravstveni sistem. Prva raziskava je bila izvedena v letih 1985/86 v šestih državah, danes pa ima ISSP preko 40 držav članic po vsem svetu. (http://www.issp.org/)
Study Content
Keywords ADP: zaposlenost mater, vloge med spoloma, zaposlitvene razmere, stališče o zakonski zvezi, stališče do alternativnih družinskih oblik, želeno število otrok, pomen otrok za družinsko življenje, socialna politika, spol, starševski dopust, družina, skrb za starejše, čas porabljen za gospodinjska dela, skupni mesečni dohodek gospodinjstva, delitev dela v gospodinjstvu, ocena osebne sreče, družinski odnosi, zdravje, odločanje v partnerskem odnosu, partner z višjim dohodkom
Keywords ELSST:
DRUŽINA, SPOLNA VLOGA, ZAPOSLOVANJE ŽENSK, OTROK , GOSPODINJSKA OPRAVILA
Topic Classification CESSDA
DRUŽBENA SLOJEVITOST IN SKUPINE - Družinsko življenje in zakonska zveza
DRUŽBENA SLOJEVITOST IN SKUPINE - Spol in spolne vloge
Topic Classification CERIF
Sociologija
Topic Classification ADP
DRUŽINA
SPREMINJANJE SPOLNIH VLOG
DELITEV GOSPODINJSKEGA DELA
SPOLNA DISKRIMINACIJA
ODNOSI S PARTNERJEM
Abstract:
Ta izvedba raziskav ISSP se osredotoča na stališča glede družine in spreminjanja spolnih vlog. Respondente sprašuje o vlogah moških in žensk pri zaposlitvi in v gospodinjstvu, po stališčih do zaposlitev žensk med vzgajanjem otroka, do sklenitve zakonske zveze, sožitja brez zakonske zveze in ločitev, do alternativnih družinskih oblik, idealnega števila otrok ter pomena otrok v življenju. V nadaljevanju sprašuje o stališčih do plačanega starševskega dopusta, o organizaciji družinskega in poklicnega življenja med starševstvom, financiranju otroškega varstva, podpori za starostnike ter o delitvi dolžnosti v gospodinjstvu. Respondenti ocenjujejo stres, ki ga povzročajo družina in gospodinjska opravila ter odgovarjajo na vprašanja v zvezi z osebnim zdravstvenim stanjem, splošnim zadovoljstvom v življenju ter zadovoljstvom z zaposlitvenim položajem in družinskim življenjem. Demografski sklop vključuje vprašanja o starosti respondenta, spolu, izobrazbi, zaposlitvi, poklicu, zakonskem statusu, o članstvu v sindikatu, verskem prepričanju, volilni udeležbi na zadnjih volitvah, voljeni stranki (levo-desno), o narodnosti, velikosti gospodinjstva, dohodku in regiji bivanja.
Methodology
| Collection date: | Zbiranje podatkov na terenu je potekalo: Argentina: 10. junij 2012 - 29. junij 2013, Avstralija: 21. maj 2012 - 12. junij 2013, Avstrija: 09. november 2013 - 20. december 2013, Belgija: 13. november 2013 - 24. februar 2014, Bolgarija: 16. avgust 2011 - 20. september 2011, Češka: 30. marec 2012 - 25. april 2012, Čile: 24. februar 2012 - 30. marec 2012, Danska: 08. januar 2013 - 01. marec 2013, Filipini: 29. november 2012 - 03. december 2012, Finska: 21. september 2012 - 07. december 2012, Francija: april 2012 - september 2012, Hrvaška: 12. oktober 2013 - 10. november 2013, Indija: 24. marec 2014 - 10. april 2014, Irska: 21. december 2012 - 20. maj 2013, Islandija: 30. junij 2013 - 21. marec 2014, Izrael: 19. november 2011 - 26. april 2012, Japonska: 24. november 2012 - 02. december 2012, Južna Afrika: 20. september 2012 - 30. januar 2013, Južna Koreja: 23. junij 2012 - 31. avgust 2012, Kanada: 15. november 2013 - 31. marec 2014, Kitajska: 15. junij 2012 - 01. oktober 2012, Latvija: 16. april 2013 - 12. maj 2013, Litva: 12. januar 2013 - 05. februar 2013, Madžarska: 13. marec 2013 - 20. marec 2013, Mehika: 23. julij 2013 - 19. avgust 2013, Nemčija: 23. april 2012 - 30. september 2012, Nizozemska: 28. februar 2013 - 01. september 2013, Norveška: 24. oktober 2012 - 30. december 2012, Poljska: 13. april 2013 - 25. april 2013, Portugalska: 29. junij 2014 - 31. januar 2015, Ruska federacija: 01. junij 2012 - 16. junij 2012, Slovaška: 25. oktober 2012 - 10. december 2012, Slovenija: 29. marec 2012 - 28. maj 2012, Španija: 15. april 2012 - 25. junij 2012, Švedska: 05. marec 2012 - 11. maj 2012, Švica: 12. februar 2013 - 30. julij 2013, Tajvan: 15. julij 2012 - 14. oktober 2012, Turčija: 02. februar 2013 - 07. april 2013, Velika Britanija: 30. junij 2012 - 07. november 2012, Venezuela: 01. junij 2013 - 15. junij 2013, Združene države Amerike: 19. marec 2012 - 05. september 2012 |
|---|---|
| Date of production: | 2016 |
| Country: | Argentina, Avstralija, Avstrija, Belgija, Bolgarija, Češka, Čile, Danska, Filipini, Finska, Francija, Hrvaška, Indija, Irska, Islandija, Izrael, Japonska, Južna Afrika, Južna Koreja, Kanada, Kitajska, Latvija, Litva, Madžarska, Mehika, Nemčija, Nizozemska, Norveška, Poljska, Portugalska, Ruska federacija, Slovaška, Slovenija, Španija, Švedska, Švica, Tajvan, Turčija, Velika Britanija, Venezuela, Združene države Amerike |
| Geographic coverage: |
Teritorij naštetih držav. |
| Unit of analysis: |
Posameznik |
| Universe: |
Osebe stare 18 let in več, izjeme so: Finska, Islandija, Japonska, Južna Afrika in Venezuela. Za dodatna pojasnila glej doi:10.4232/1.12661. |
| Excluded: | no information |
| Data collected by: |
Argentina: Instituto Gino Germani, Universidad de Buenos Aires Argentina Avstralija: Academic Surveys Australia, Black Rock, Melbourne Avstrija: IFES-Institut, Vienna Belgija: Research Center of the Flemish Government, Brussels, and IWEPS, Namur, - mailing by the National Register Bolgarija: ESI Center Češka: MEDIAN research age Čile: ICCOM, Santiago Danska: Rambøll Denmark A/S, Copenhagen Filipini: Social Weather Stations, Quezon City Finska: Statistics Finland, Social Survey Unit, Helsinki Francija: France-ISSP (Centre de Recherche en Economie et Statistique, Laboratoire de Sociologie Quantitative), Malakoff Hrvaška: GFK market research, Zagreb Indija: TÁRKI Social Research Institute, Budapest Irska: CVoter News Services Pvt. Ltd. Islandija: SSRC (Social Science Research Centre), Dublin Izrael: Social Science Research Institute - University of Iceland, Reykjavík Japonska: B.I. and Lucille Cohen institute, Tel Aviv Južna Afrika: Central Research Services, Inc. Južna Koreja: Human Sciences Research Council (HSRC), Pretoria Kanada: Survey Research Center at Sungkyunkwan University, Seoul Kitajska: Carleton University Survey Centre, Ottawa Latvija: The National Survey Research Center, Renmin University of China, Beijing Litva: Institute of Sociological Research Madžarska: BALTIC SURVEYS Ltd. Mehika: Instituto de Mercadotecnia y Opinión (IMO) Nemčija: TNS Infratest, Munich Nizozemska: Faculty of Social Sciences, Department of Sociology, Free University Amsterdam Norveška: TNS Gallup (kontakt in administracija papirnatih vprašalnikov) and NSD (administracija spletnih vprašalnikov) Poljska: Public Opinion Research Center (CBOS), Warsaw Portugalska: TNS Portugal, Lisbon Ruska federacija: Levada Center, Moscow Slovaška: TNS Slovakia, Bratislava Slovenija: Center za raziskovanje javnega mnenja in množičnih komunikacij (CJMMK), Univerza v Ljubljani Španija: Center of Sociological Research (CIS) Švedska: SIFO Švica: M.I.S. Trend SA, Institut de recherches sociales et économiques, Lausanne Tajvan: Center for Survey Research, RCHSS, Academia Sinica Turčija: Infakto Research Workshop, Istanbul Velika Britanija: Instituto DELPHOS, Caracas Venezuela: National Centre for Social Research (NatCen), London Združene države Amerike: National Opinion Research Center (NORC) |
| Sampling procedure: |
Verjetnostno: enostavno slučajno Verjetnostno: večstopenjsko Vzorčenje se razlikuje glede na posamezne države. Za dodatna pojasnila glej doi:10.4232/1.12661. |
| Mode of data collection: |
Osebni intervju: CAPI/CAMI Osebni intervju: PAPI Vprašalnik za samoizpolnjevanje: papirnati Vprašalnik za samoizpolnjevanje: spletni Odvisno od posamezne države. Za dodatna pojasnila glej doi:10.4232/1.12661. |
| Weighting: |
Da. Za dodatna pojasnila glej doi:10.4232/1.12661. |
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:10.4232/1.12661.
Contact: GESIS Datenarchiv
Več o pravilnem navajanju podatkov na doi:10.4232/1.12661.
Več o uporabnikovi odgovornosti obveščanja arhiva o uporabi podatkov in objavi del na doi:10.4232/1.12661.
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: ZA5900: International Social Survey Programme: Family and Changing Gender Roles IV - ISSP 2012 [Podatkovna datoteka]
File ID: F1
Format: OSTALO
- number of variables: 420
- number of units: 61754
Version: 4.0.0, doi:10.4232/1.12661
Variable list
V1 GESIS Data Archive Study Number
| Value 13 | Frequency | |
|---|---|---|
| 5900 | GESIS Data Archive Study Number ZA5900 | 61754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61754 | 0 | 5900 | 5900 |
Valid range from 5900 to 5900
V2 GESIS Archive Version
| Value 22 | Frequency | |
|---|---|---|
| 4.0.0 (2016-11-23) | 61754 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61754 | 0 |
DOI Digital Object Identifier
| Value 31 | Frequency | |
|---|---|---|
| doi:10.4232/1.12661 | 61754 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61754 | 0 |
V1 GESIS Data Archive Study Number
| Value 1420 | Frequency | |
|---|---|---|
| 5900 | GESIS Data Archive Study Number ZA5900 | 61754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61754 | 0 | 5900 | 5900 |
Valid range from 5900 to 5900
V2 GESIS Archive Version
| Value 2419 | Frequency | |
|---|---|---|
| 4.0.0 (2016-11-23) | 61754 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61754 | 0 |
DOI Digital Object Identifier
| Value 3418 | Frequency | |
|---|---|---|
| doi:10.4232/1.12661 | 61754 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61754 | 0 |
V3 Country/ Sample ISO 3166 Code (see V4 for codes for whole nation states)
| Value 4417 | Frequency | |
|---|---|---|
| 32 | AR-Argentina | 977 |
| 36 | AU-Australia | 1612 |
| 40 | AT-Austria | 1182 |
| 100 | BG-Bulgaria | 1003 |
| 124 | CA-Canada | 972 |
| 152 | CL-Chile | 1564 |
| 156 | CN-China | 5946 |
| 158 | TW-Taiwan | 2072 |
| 191 | HR-Croatia | 1000 |
| 203 | CZ-Czech Republic | 1804 |
| 208 | DK-Denmark | 1403 |
| 246 | FI-Finland | 1171 |
| 250 | FR-France | 2409 |
| 348 | HU-Hungary | 1012 |
| 352 | IS-Iceland | 1172 |
| 356 | IN-India | 1660 |
| 372 | IE-Ireland | 1215 |
| 376 | IL-Israel | 1220 |
| 392 | JP-Japan | 1212 |
| 410 | KR-Korea (South) | 1396 |
| 428 | LV-Latvia | 1000 |
| 440 | LT-Lithuania | 1187 |
| 484 | MX-Mexico | 1527 |
| 528 | NL-Netherlands | 1315 |
| 578 | NO-Norway | 1444 |
| 608 | PH-Philippines | 1200 |
| 616 | PL-Poland | 1115 |
| 643 | RU-Russia | 1525 |
| 703 | SK-Slovakia | 1128 |
| 705 | SI-Slovenia | 1034 |
| 710 | ZA-South Africa | 2547 |
| 724 | ES-Spain | 2595 |
| 752 | SE-Sweden | 1060 |
| 756 | CH-Switzerland | 1237 |
| 792 | TR-Turkey | 1620 |
| 840 | US-United States | 1302 |
| 862 | VE-Venezuela | 997 |
| 5601 | BE-FLA-Belgium/ Flanders | 1090 |
| 5602 | BE-WAL-Belgium/ Wallonia | 549 |
| 5603 | BE-BRU-Belgium/ Brussels | 563 |
| 27601 | DE-W-Germany-West | 1208 |
| 27602 | DE-E-Germany-East | 558 |
| 62001 | PT-Portugal 2012: first fieldwork round (main sample) | 898 |
| 62002 | PT-Portugal 2012: second fieldwork round (complementary samp | 103 |
| 82601 | GB-GBN-Great Britain | 950 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61754 | 0 | 32 | 82601 |
Valid range from 32 to 82601
V4 Country ISO 3166 Code (see V3 for codes for the sample)
| Value 5416 | Frequency | |
|---|---|---|
| 32 | AR-Argentina | 977 |
| 36 | AU-Australia | 1612 |
| 40 | AT-Austria | 1182 |
| 56 | BE-Belgium | 2202 |
| 100 | BG-Bulgaria | 1003 |
| 124 | CA-Canada | 972 |
| 152 | CL-Chile | 1564 |
| 156 | CN-China | 5946 |
| 158 | TW-Taiwan | 2072 |
| 191 | HR-Croatia | 1000 |
| 203 | CZ-Czech Republic | 1804 |
| 208 | DK-Denmark | 1403 |
| 246 | FI-Finland | 1171 |
| 250 | FR-France | 2409 |
| 276 | DE-Germany | 1766 |
| 348 | HU-Hungary | 1012 |
| 352 | IS-Iceland | 1172 |
| 356 | IN-India | 1660 |
| 372 | IE-Ireland | 1215 |
| 376 | IL-Israel | 1220 |
| 392 | JP-Japan | 1212 |
| 410 | KR-Korea (South) | 1396 |
| 428 | LV-Latvia | 1000 |
| 440 | LT-Lithuania | 1187 |
| 484 | MX-Mexico | 1527 |
| 528 | NL-Netherlands | 1315 |
| 578 | NO-Norway | 1444 |
| 608 | PH-Philippines | 1200 |
| 616 | PL-Poland | 1115 |
| 620 | PT-Portugal | 1001 |
| 643 | RU-Russia | 1525 |
| 703 | SK-Slovakia | 1128 |
| 705 | SI-Slovenia | 1034 |
| 710 | ZA-South Africa | 2547 |
| 724 | ES-Spain | 2595 |
| 752 | SE-Sweden | 1060 |
| 756 | CH-Switzerland | 1237 |
| 792 | TR-Turkey | 1620 |
| 826 | GB-Great Britain and/or United Kingdom | 950 |
| 840 | US-United States | 1302 |
| 862 | VE-Venezuela | 997 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61754 | 0 | 32 | 862 |
Valid range from 32 to 862
C_ALPHAN Country Prefix ISO 3166 Code - alphanumeric
| Value 6415 | Frequency | |
|---|---|---|
| AR | 977 | |
| AT | 1182 | |
| AU | 1612 | |
| BE | 2202 | |
| BG | 1003 | |
| CA | 972 | |
| CH | 1237 | |
| CL | 1564 | |
| CN | 5946 | |
| CZ | 1804 | |
| DE | 1766 | |
| DK | 1403 | |
| ES | 2595 | |
| FI | 1171 | |
| FR | 2409 | |
| GB-GBN | 950 | |
| HR | 1000 | |
| HU | 1012 | |
| IE | 1215 | |
| IL | 1220 | |
| IN | 1660 | |
| IS | 1172 | |
| JP | 1212 | |
| KR | 1396 | |
| LT | 1187 | |
| LV | 1000 | |
| MX | 1527 | |
| NL | 1315 | |
| NO | 1444 | |
| PH | 1200 | |
| PL | 1115 | |
| PT | 1001 | |
| RU | 1525 | |
| SE | 1060 | |
| SI | 1034 | |
| SK | 1128 | |
| TR | 1620 | |
| TW | 2072 | |
| US | 1302 | |
| VE | 997 | |
| ZA | 2547 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61754 | 0 |
V5 Q1a Working mom: warm relationship with children as a not working mom
| Value 7414 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 16357 |
| 2 | Agree | 23640 |
| 3 | Neither agree nor disagree | 6224 |
| 4 | Disagree | 9570 |
| 5 | Strongly disagree | 2069 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 958 |
| 9 | No answer | 341 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57860 | 3894 | 1 | 5 |
Valid range from 1 to 5
ES_V5 Q1a Working mom: warm relationship with children as a not working mom
| Value 8413 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 572 |
| 2 | Agree | 1157 |
| 3 | Disagree | 633 |
| 4 | Strongly disagree | 199 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 30 |
| 9 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2561 | 59193 |
Valid range from 1 to 4
V6 Q1b Working mom: Preschool child is likely to suffer
| Value 9412 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 5969 |
| 2 | Agree | 19282 |
| 3 | Neither agree nor disagree | 10175 |
| 4 | Disagree | 15192 |
| 5 | Strongly disagree | 6933 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 1175 |
| 9 | No answer | 433 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57551 | 4203 | 1 | 5 |
Valid range from 1 to 5
ES_V6 Q1b Working mom: Preschool child is likely to suffer
| Value 10411 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 195 |
| 2 | Agree | 1117 |
| 3 | Disagree | 898 |
| 4 | Strongly disagree | 278 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 91 |
| 9 | No answer | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2488 | 59266 |
Valid range from 1 to 4
V7 Q1c Working woman: Family life suffers when woman has full-time job
| Value 11410 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 5666 |
| 2 | Agree | 17394 |
| 3 | Neither agree nor disagree | 10298 |
| 4 | Disagree | 16312 |
| 5 | Strongly disagree | 7961 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 1027 |
| 9 | No answer | 501 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57631 | 4123 | 1 | 5 |
Valid range from 1 to 5
ES_V7 Q1c Working woman: Family life suffers when woman has full-time job
| Value 12409 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 306 |
| 2 | Agree | 1221 |
| 3 | Disagree | 768 |
| 4 | Strongly disagree | 197 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 86 |
| 9 | No answer | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2492 | 59262 |
Valid range from 1 to 4
V8 Q1d Working woman: What women really want is home and kids
| Value 13408 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 6816 |
| 2 | Agree | 18438 |
| 3 | Neither agree nor disagree | 12119 |
| 4 | Disagree | 12640 |
| 5 | Strongly disagree | 6366 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 2248 |
| 9 | No answer | 532 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 56379 | 5375 | 1 | 5 |
Valid range from 1 to 5
ES_V8 Q1d Working woman: What women really want is home and kids
| Value 14407 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 171 |
| 2 | Agree | 751 |
| 3 | Disagree | 1006 |
| 4 | Strongly disagree | 480 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 157 |
| 9 | No answer | 30 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2408 | 59346 |
Valid range from 1 to 4
V9 Q1e Working woman: Being housewife is as fulfilling as working for pay
| Value 15406 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 7168 |
| 2 | Agree | 18294 |
| 3 | Neither agree nor disagree | 12740 |
| 4 | Disagree | 12645 |
| 5 | Strongly disagree | 4765 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 2970 |
| 9 | No answer | 577 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 55612 | 6142 | 1 | 5 |
Valid range from 1 to 5
ES_V9 Q1e Working woman: Being housewife is as fulfilling as working for pay
| Value 16405 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 248 |
| 2 | Agree | 887 |
| 3 | Disagree | 829 |
| 4 | Strongly disagree | 432 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 170 |
| 9 | No answer | 29 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2396 | 59358 |
Valid range from 1 to 4
V10 Q2a Both should contribute to household income
| Value 17404 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 18946 |
| 2 | Agree | 26161 |
| 3 | Neither agree nor disagree | 8328 |
| 4 | Disagree | 3830 |
| 5 | Strongly disagree | 916 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 660 |
| 9 | No answer | 318 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 58181 | 3573 | 1 | 5 |
Valid range from 1 to 5
ES_V10 Q2a Both should contribute to household income
| Value 18403 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 958 |
| 2 | Agree | 1391 |
| 3 | Disagree | 154 |
| 4 | Strongly disagree | 17 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 63 |
| 9 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2520 | 59234 |
Valid range from 1 to 4
V11 Q2b Men's job earn money, women's job look after home
| Value 19402 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 6095 |
| 2 | Agree | 12548 |
| 3 | Neither agree nor disagree | 10698 |
| 4 | Disagree | 17127 |
| 5 | Strongly disagree | 11610 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 694 |
| 9 | No answer | 387 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 58078 | 3676 | 1 | 5 |
Valid range from 1 to 5
ES_V11 Q2b Men's job earn money, women's job look after home
| Value 20401 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 126 |
| 2 | Agree | 348 |
| 3 | Disagree | 943 |
| 4 | Strongly disagree | 1114 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 55 |
| 9 | No answer | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2531 | 59223 |
Valid range from 1 to 4
V12 Q3a Should women work: Child under school age
| Value 21400 | Frequency | |
|---|---|---|
| 1 | Work full-time | 9744 |
| 2 | Work part-time | 27002 |
| 3 | Stay at home | 18845 |
| 6 | TW: women should decide | 543 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 5086 |
| 9 | No answer | 534 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 56134 | 5620 | 1 | 6 |
Valid range from 1 to 6
V13 Q3b Should women work: Youngest kid at school
| Value 22399 | Frequency | |
|---|---|---|
| 1 | Work full-time | 24783 |
| 2 | Work part-time | 24981 |
| 3 | Stay at home | 5960 |
| 6 | TW: women should decide | 524 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 4881 |
| 9 | No answer | 625 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 56248 | 5506 | 1 | 6 |
Valid range from 1 to 6
V14 Q4a Marriage: Married people generally happier
| Value 23398 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 6522 |
| 2 | Agree | 14730 |
| 3 | Neither agree nor disagree | 15529 |
| 4 | Disagree | 12774 |
| 5 | Strongly disagree | 6191 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 3083 |
| 9 | No answer | 330 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 55746 | 6008 | 1 | 5 |
Valid range from 1 to 5
ES_V14 Q4a Marriage: Married people generally happier
| Value 24397 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 132 |
| 2 | Agree | 493 |
| 3 | Disagree | 1116 |
| 4 | Strongly disagree | 585 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 251 |
| 9 | No answer | 18 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2326 | 59428 |
Valid range from 1 to 4
V15 Q4b Marriage: Better, if people want kids
| Value 25396 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 11755 |
| 2 | Agree | 19738 |
| 3 | Neither agree nor disagree | 9169 |
| 4 | Disagree | 11317 |
| 5 | Strongly disagree | 5879 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 969 |
| 9 | No answer | 332 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57858 | 3896 | 1 | 5 |
Valid range from 1 to 5
ES_V15 Q4b Marriage: Better, if people want kids
| Value 26395 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 206 |
| 2 | Agree | 576 |
| 3 | Disagree | 1077 |
| 4 | Strongly disagree | 668 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 55 |
| 9 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2527 | 59227 |
Valid range from 1 to 4
V16 Q4c Marriage: Couple living together without marriage ok
| Value 27394 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 12071 |
| 2 | Agree | 19334 |
| 3 | Neither agree nor disagree | 8430 |
| 4 | Disagree | 11740 |
| 5 | Strongly disagree | 6242 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 1029 |
| 9 | No answer | 313 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57817 | 3937 | 1 | 5 |
Valid range from 1 to 5
ES_V16 Q4c Marriage: Couple living together without marriage ok
| Value 28393 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 703 |
| 2 | Agree | 1452 |
| 3 | Disagree | 294 |
| 4 | Strongly disagree | 67 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 69 |
| 9 | No answer | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2516 | 59238 |
Valid range from 1 to 4
V17 Q4d Marriage: Divorce best solution with marriage problems
| Value 29392 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 9154 |
| 2 | Agree | 21536 |
| 3 | Neither agree nor disagree | 11322 |
| 4 | Disagree | 10627 |
| 5 | Strongly disagree | 4197 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 2005 |
| 9 | No answer | 318 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 56836 | 4918 | 1 | 5 |
Valid range from 1 to 5
ES_V17 Q4d Marriage: Divorce best solution with marriage problems
| Value 30391 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 738 |
| 2 | Agree | 1307 |
| 3 | Disagree | 343 |
| 4 | Strongly disagree | 67 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 119 |
| 9 | No answer | 21 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2455 | 59299 |
Valid range from 1 to 4
V18 Q5a Single parent can raise child as well
| Value 31390 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 7758 |
| 2 | Agree | 18834 |
| 3 | Neither agree nor disagree | 7852 |
| 4 | Disagree | 17085 |
| 5 | Strongly disagree | 5129 |
| 0 | NAP: ES, HU | 3607 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 1236 |
| 9 | No answer | 253 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 56658 | 5096 | 1 | 5 |
Valid range from 1 to 5
ES_V18 Q5a Single parent can raise child as well
| Value 32389 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 470 |
| 2 | Agree | 1037 |
| 3 | Disagree | 788 |
| 4 | Strongly disagree | 222 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 68 |
| 9 | No answer | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2517 | 59237 |
Valid range from 1 to 4
HU_V18 Q5a Single parent can raise child as well
| Value 33388 | Frequency | |
|---|---|---|
| 1 | Completely agree | 95 |
| 2 | Rather agree | 337 |
| 3 | Rather disagree | 412 |
| 4 | Not agree | 152 |
| 0 | NAP: other countries | 60742 |
| 8 | Can't choose | 14 |
| 9 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 996 | 60758 | 1 | 4 |
Valid range from 1 to 4
V19 Q5b Same sex female couple can raise child as well
| Value 34387 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 5731 |
| 2 | Agree | 13186 |
| 3 | Neither agree nor disagree | 7166 |
| 4 | Disagree | 15097 |
| 5 | Strongly disagree | 12852 |
| 0 | NAP: ES, HU | 3607 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 3733 |
| 9 | No answer | 382 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 54032 | 7722 | 1 | 5 |
Valid range from 1 to 5
ES_V19 Q5b Same sex female couple can raise child as well
| Value 35386 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 497 |
| 2 | Agree | 1075 |
| 3 | Disagree | 564 |
| 4 | Strongly disagree | 295 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 151 |
| 9 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2431 | 59323 |
Valid range from 1 to 4
HU_V19 Q5b Same sex female couple can raise child as well
| Value 36385 | Frequency | |
|---|---|---|
| 1 | Completely agree | 44 |
| 2 | Rather agree | 183 |
| 3 | Rather disagree | 292 |
| 4 | Not agree | 443 |
| 0 | NAP: other countries | 60742 |
| 8 | Can't choose | 48 |
| 9 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 962 | 60792 | 1 | 4 |
Valid range from 1 to 4
V20 Q5c Same sex male couple can raise child as well
| Value 37384 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 5086 |
| 2 | Agree | 11014 |
| 3 | Neither agree nor disagree | 7075 |
| 4 | Disagree | 15521 |
| 5 | Strongly disagree | 15298 |
| 0 | NAP: ES, HU | 3607 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 3768 |
| 9 | No answer | 385 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 53994 | 7760 | 1 | 5 |
Valid range from 1 to 5
ES_V20 Q5c Same sex male couple can raise child as well
| Value 38383 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 453 |
| 2 | Agree | 953 |
| 3 | Disagree | 643 |
| 4 | Strongly disagree | 377 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 156 |
| 9 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2426 | 59328 |
Valid range from 1 to 4
HU_V20 Q5c Same sex male couple can raise child as well
| Value 39382 | Frequency | |
|---|---|---|
| 1 | Completely agree | 34 |
| 2 | Rather agree | 102 |
| 3 | Rather disagree | 292 |
| 4 | Not agree | 525 |
| 0 | NAP: other countries | 60742 |
| 8 | Can't choose | 57 |
| 9 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 953 | 60801 | 1 | 4 |
Valid range from 1 to 4
V21 Q6 Ideal number of children for a family
| Value 40381 | Frequency | |
|---|---|---|
| 0 | No children | 263 |
| 1 | 1 child | 3304 |
| 2 | 2 children | 33047 |
| 45 | 45 children | 1 |
| 98 | Can't choose | 2076 |
| 99 | No answer | 2167 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57511 | 4243 | 0 | 45 |
Valid range from 0 to 45
V22 Q7a Children: Watching grow up is greatest joy
| Value 41380 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 27872 |
| 2 | Agree | 24421 |
| 3 | Neither agree nor disagree | 3712 |
| 4 | Disagree | 1070 |
| 5 | Strongly disagree | 314 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 1483 |
| 9 | No answer | 287 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57389 | 4365 | 1 | 5 |
Valid range from 1 to 5
ES_V22 Q7a Children: Watching grow up is greatest joy
| Value 42379 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 1298 |
| 2 | Agree | 1086 |
| 3 | Disagree | 91 |
| 4 | Strongly disagree | 17 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 90 |
| 9 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2492 | 59262 |
Valid range from 1 to 4
V23 Q7b Children: Interfere too much with parents freedom
| Value 43378 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 3124 |
| 2 | Agree | 13748 |
| 3 | Neither agree nor disagree | 10780 |
| 4 | Disagree | 22195 |
| 5 | Strongly disagree | 7836 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 1091 |
| 9 | No answer | 385 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57683 | 4071 | 1 | 5 |
Valid range from 1 to 5
ES_V23 Q7b Children: Interfere too much with parents freedom
| Value 44377 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 190 |
| 2 | Agree | 1166 |
| 3 | Disagree | 982 |
| 4 | Strongly disagree | 203 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 46 |
| 9 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2541 | 59213 |
Valid range from 1 to 4
V24 Q7c Children: Financial burden on their parents
| Value 45376 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 4947 |
| 2 | Agree | 18183 |
| 3 | Neither agree nor disagree | 10136 |
| 4 | Disagree | 17469 |
| 5 | Strongly disagree | 7038 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 985 |
| 9 | No answer | 401 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57773 | 3981 | 1 | 5 |
Valid range from 1 to 5
ES_V24 Q7c Children: Financial burden on their parents
| Value 46375 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 319 |
| 2 | Agree | 1393 |
| 3 | Disagree | 698 |
| 4 | Strongly disagree | 139 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 44 |
| 9 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2549 | 59205 |
Valid range from 1 to 4
V25 Q7d Children: Restrict career chances of one or both parents
| Value 47374 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 3452 |
| 2 | Agree | 18515 |
| 3 | Neither agree nor disagree | 12251 |
| 4 | Disagree | 17938 |
| 5 | Strongly disagree | 5090 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 1487 |
| 9 | No answer | 426 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57246 | 4508 | 1 | 5 |
Valid range from 1 to 5
ES_V25 Q7d Children: Restrict career chances of one or both parents
| Value 48373 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 241 |
| 2 | Agree | 1276 |
| 3 | Disagree | 815 |
| 4 | Strongly disagree | 141 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 113 |
| 9 | No answer | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2473 | 59281 |
Valid range from 1 to 4
V26 Q7e Children: Increase social standing in society
| Value 49372 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 5276 |
| 2 | Agree | 18490 |
| 3 | Neither agree nor disagree | 14960 |
| 4 | Disagree | 13285 |
| 5 | Strongly disagree | 4005 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 2658 |
| 9 | No answer | 485 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 56016 | 5738 | 1 | 5 |
Valid range from 1 to 5
ES_V26 Q7e Children: Increase social standing in society
| Value 50371 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 124 |
| 2 | Agree | 747 |
| 3 | Disagree | 1132 |
| 4 | Strongly disagree | 361 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 218 |
| 9 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2364 | 59390 |
Valid range from 1 to 4
V27 Q7f Children: Adult children are important source of help for elderly parents
| Value 51370 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 12203 |
| 2 | Agree | 27366 |
| 3 | Neither agree nor disagree | 10495 |
| 4 | Disagree | 5633 |
| 5 | Strongly disagree | 1648 |
| 0 | NAP: ES | 2595 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 1429 |
| 9 | No answer | 385 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57345 | 4409 | 1 | 5 |
Valid range from 1 to 5
ES_V27 Q7f Children: Adult children are important source of help for elderly parents
| Value 52369 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 320 |
| 2 | Agree | 1375 |
| 3 | Disagree | 587 |
| 4 | Strongly disagree | 130 |
| 0 | NAP: other countries | 59159 |
| 8 | Can't choose | 157 |
| 9 | No answer | 26 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2412 | 59342 |
Valid range from 1 to 4
V28 Q8 Paid leave: No/ Yes, how long should paid leave be available
| Value 53368 | Frequency | |
|---|---|---|
| 0 | No, there should be no paid leave | 6985 |
| 1 | Yes, 1 month | 1678 |
| 2 | Yes, 2 months | 1804 |
| 60 | Yes, 60 months | 361 |
| 84 | Yes, 84 months | 23 |
| 90 | Yes, 90 months | 5 |
| 93 | TW: yes, 4-6 years | 321 |
| 94 | ES: yes, 94 months and more; TW: yes, 7 or more years | 164 |
| 95 | Yes, 95 and more months, ES: don't specify period of leave; | 172 |
| 97 | IS: yes, but don't know how many months | 2 |
| 98 | Don't know, BG: can't choose | 1557 |
| 99 | No answer | 1362 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 58835 | 2919 | 0 | 97 |
Valid range from 0 to 97
V29 Q9 Paid leave: Who should pay
| Value 54367 | Frequency | |
|---|---|---|
| 1 | The government | 20495 |
| 2 | The employer | 8244 |
| 3 | Both the government and the employer | 21608 |
| 4 | Other sources | 718 |
| 0 | Not applicable (code 0 (98,99) in V28) | 7435 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 1953 |
| 9 | No answer | 1301 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51065 | 10689 | 1 | 4 |
Valid range from 1 to 4
V30 Q10 Paid leave: How to divide between parents
| Value 55366 | Frequency | |
|---|---|---|
| 1 | Mother entire, father not any | 19166 |
| 2 | Mother most, father some | 17005 |
| 3 | Mother and father half | 13132 |
| 4 | Father most, mother some | 329 |
| 5 | Father entire, mother not any | 130 |
| 0 | Not applicable (code 0 (98,99) in V28) | 7411 |
| 8 | Can't choose, CA:+NA, NL:DK | 3300 |
| 9 | No answer | 1281 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49762 | 11992 | 1 | 5 |
Valid range from 1 to 5
V31 Q11a Child under school age: Best parental childcare option
| Value 56365 | Frequency | |
|---|---|---|
| 1 | Mother at home, father full-time | 22875 |
| 2 | Mother part-time, father full-time | 20689 |
| 3 | Both, mother and father full-time | 6743 |
| 4 | Both, mother and father part-time | 5256 |
| 5 | Father part-time, mother full-time | 332 |
| 6 | Father at home, mother full-time, ES: not asked | 253 |
| 8 | Can't choose, CA:+NA, NL:DK | 5070 |
| 9 | No answer | 536 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 56148 | 5606 | 1 | 6 |
Valid range from 1 to 6
V32 Q11b Child under school age: Least desirable parental childcare
| Value 57364 | Frequency | |
|---|---|---|
| 1 | Mother at home, father full-time | 5624 |
| 2 | Mother part-time, father full-time | 2655 |
| 3 | Both, mother and father full-time | 17396 |
| 4 | Both, mother and father part-time | 3862 |
| 5 | Father part-time, mother full-time | 2973 |
| 6 | Father at home, mother full-time, ES: not asked | 20105 |
| 8 | Can't choose, CA:+NA, NL:DK | 8482 |
| 9 | No answer | 657 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 52615 | 9139 | 1 | 6 |
Valid range from 1 to 6
V33 Q12 Child under school age: Provider of childcare
| Value 58363 | Frequency | |
|---|---|---|
| 1 | Family members | 34743 |
| 2 | Government agencies | 14634 |
| 3 | Non-profit organizations | 855 |
| 4 | Private childcare providers | 6847 |
| 5 | Employers | 1245 |
| 8 | Can't choose, CA:+NA, KR:DK,ref., NL:DK | 3018 |
| 9 | No answer | 412 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 58324 | 3430 | 1 | 5 |
Valid range from 1 to 5
V34 Q13 Child under school age: Covering childcare costs
| Value 59362 | Frequency | |
|---|---|---|
| 1 | The family itself | 33858 |
| 2 | The government/ public funds | 21879 |
| 3 | The employers | 1912 |
| 8 | Can't choose, CA:+NA, NL:DK | 3630 |
| 9 | No answer | 475 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57649 | 4105 | 1 | 3 |
Valid range from 1 to 3
V35 Q14 Elderly people: Provider of domestic help
| Value 60361 | Frequency | |
|---|---|---|
| 1 | Family members | 34013 |
| 2 | Government agencies | 18570 |
| 3 | Non-profit organizations | 2616 |
| 4 | Private providers | 3399 |
| 5 | NL: Employers | 6 |
| 8 | Can't choose, CA:+NA, NL:DK | 2678 |
| 9 | No answer | 472 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 58604 | 3150 | 1 | 5 |
Valid range from 1 to 5
V36 Q15 Elderly people: Covering domestic help costs
| Value 61360 | Frequency | |
|---|---|---|
| 1 | The elderly people themselves/ their family | 25429 |
| 2 | The government/ public funds | 31117 |
| 8 | Can't choose, CA:+NA, NL:Don't know | 4515 |
| 9 | No answer | 693 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 56546 | 5208 | 1 | 2 |
Valid range from 1 to 2
V37 Q16a How many hours spend on household work
| Value 62359 | Frequency | |
|---|---|---|
| 0 | None, no hours, does not apply | 3699 |
| 1 | 1 hour or less than 1 hour | 1495 |
| 2 | 2 hours | 2922 |
| 3 | 3 hours | 2669 |
| 95 | 95 hours and more | 134 |
| 98 | Don't know, BG: can't choose | 888 |
| 99 | No answer, CA: no answer, refused | 1390 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 59476 | 2278 | 0 | 95 |
Valid range from 0 to 95
V38 Q16b How many hours spend on family members
| Value 63358 | Frequency | |
|---|---|---|
| 0 | None, no hours, does not apply, IN: no hours, no partner | 22072 |
| 1 | 1 hour or less than 1 hour | 1493 |
| 2 | 2 hours | 2122 |
| 3 | 3 hours | 1283 |
| 95 | 95 hours and more | 514 |
| 98 | Don't know, BG: can't choose, KR: don't know, refused | 914 |
| 99 | No answer, CA: no answer, refused | 3821 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57019 | 4735 | 0 | 95 |
Valid range from 0 to 95
V39 Q17a How many hours spouse, partner works on household
| Value 64357 | Frequency | |
|---|---|---|
| 1 | 1 hour or less than 1 hour | 1415 |
| 2 | 2 hours | 1879 |
| 3 | 3 hours | 1502 |
| 95 | 95 hours and more | 128 |
| 96 | None, no hours | 3468 |
| 0 | NAP, no partner (3 (AR,AT,BE,CH,CL,ES,IS,KR,NL,NO,PL,SK,US:2 | 21461 |
| 98 | Don't know, BG: can't choose, KR: don't know, refused | 861 |
| 99 | No answer, CA: no answer, refused | 2363 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 37069 | 24685 | 1 | 96 |
Valid range from 1 to 96
V40 Q17b How many hours spouse, partner spends on family members
| Value 65356 | Frequency | |
|---|---|---|
| 1 | 1 hour or less than 1 hour | 1702 |
| 2 | 2 hours | 1755 |
| 95 | 95 hours and more | 551 |
| 96 | None, no hour | 10837 |
| 0 | NAP, no partner (3 (AR,AT,BE,CH,CL,ES,IS,KR,NL,NO,PL,SK,US:2 | 21602 |
| 98 | Don't know, BG: can't choose, KR: don't know, refused | 828 |
| 99 | No answer, CA: no answer, refused | 3308 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36016 | 25738 | 1 | 96 |
Valid range from 1 to 96
V41 Q18 Sharing of income between partners
| Value 66355 | Frequency | |
|---|---|---|
| 1 | I manage all and give partner his share | 5334 |
| 2 | Partner manages all and gives me my share | 4910 |
| 3 | We pool all money, each take out | 19150 |
| 4 | We pool some money, rest separate | 4985 |
| 5 | We each keep own money separate | 3747 |
| 6 | TW: My son or my daughter-in-law manages the money | 2 |
| 0 | NAP, no partner (3 (AT,BE,CH,CL,ES,IS,KR,NL,NO,PL,SK,US:2,3; | 21243 |
| 8 | Don't know, KR: don't know, refused | 228 |
| 9 | No answer, CA: no answer, refused | 2155 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 38128 | 23626 | 1 | 6 |
Valid range from 1 to 6
V42 Q19a Division of household work: Doing the laundry
| Value 67354 | Frequency | |
|---|---|---|
| 1 | Always me | 12763 |
| 2 | Usually me | 5475 |
| 3 | About equal or both together | 4817 |
| 4 | Usually my spouse/ partner | 6522 |
| 5 | Always my spouse/ partner | 8008 |
| 6 | Is done by a third person | 1370 |
| 0 | NAP, no partner (3 (AT,BE,CH,CL,ES,IS,KR,NL,NO,PL,SK,US:2,3, | 20834 |
| 8 | Can't choose, KR:DK,ref., NL:DK | 237 |
| 9 | No answer | 1728 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 38955 | 22799 | 1 | 6 |
Valid range from 1 to 6
V43 Q19b Division of household work: Small repairs
| Value 68353 | Frequency | |
|---|---|---|
| 1 | Always me | 9332 |
| 2 | Usually me | 8195 |
| 3 | About equal or both together | 4441 |
| 4 | Usually my spouse/ partner | 7965 |
| 5 | Always my spouse/ partner | 6498 |
| 6 | Is done by a third person | 2457 |
| 0 | NAP, no partner (3 (AT,BE,CH,CL,ES,IS,KR,NL,NO,PL,SK,US:2,3; | 20832 |
| 8 | Can't choose, KR:DK,ref., NL:DK | 304 |
| 9 | No answer | 1730 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 38888 | 22866 | 1 | 6 |
Valid range from 1 to 6
V44 Q19c Division of household work: Care for sick family members
| Value 69352 | Frequency | |
|---|---|---|
| 1 | Always me | 5731 |
| 2 | Usually me | 5637 |
| 3 | About equal or both together | 13674 |
| 4 | Usually my spouse/ partner | 4557 |
| 5 | Always my spouse/ partner | 2860 |
| 6 | Is done by a third person | 1247 |
| 0 | NAP, no partner (3 (AT,BE,CH,CL,ES,IS,KR,NL,NO,PL,SK,US:2,3; | 20832 |
| 8 | Can't choose, KR:DK,ref., NL:DK | 4050 |
| 9 | No answer | 3166 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 33706 | 28048 | 1 | 6 |
Valid range from 1 to 6
V45 Q19d Division of household work: Shops for groceries
| Value 70351 | Frequency | |
|---|---|---|
| 1 | Always me | 6796 |
| 2 | Usually me | 6704 |
| 3 | About equal or both together | 14989 |
| 4 | Usually my spouse/ partner | 5850 |
| 5 | Always my spouse/ partner | 3792 |
| 6 | Is done by a third person | 894 |
| 0 | NAP, no partner (3 (AT,BE,CH,CL,ES,IS,KR,NL,NO,PL,SK,US:2,3; | 20832 |
| 8 | Can't choose, KR:DK,ref., NL:DK | 222 |
| 9 | No answer | 1675 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 39025 | 22729 | 1 | 6 |
Valid range from 1 to 6
V46 Q19e Division of household work: Household cleaning
| Value 71350 | Frequency | |
|---|---|---|
| 1 | Always me | 8792 |
| 2 | Usually me | 7060 |
| 3 | About equal or both together | 8918 |
| 4 | Usually my spouse/ partner | 7053 |
| 5 | Always my spouse/ partner | 5048 |
| 6 | Is done by a third person | 2125 |
| 0 | NAP, no partner (3 (AT,BE,CH,CL,ES,IS,KR,NL,NO,PL,SK,US:2,3; | 20832 |
| 8 | Can't choose, KR:DK,ref., NL:DK | 226 |
| 9 | No answer | 1700 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 38996 | 22758 | 1 | 6 |
Valid range from 1 to 6
V47 Q19f Division of household work: Preparing meals
| Value 72349 | Frequency | |
|---|---|---|
| 1 | Always me | 9935 |
| 2 | Usually me | 7238 |
| 3 | About equal or both together | 7564 |
| 4 | Usually my spouse/ partner | 7258 |
| 5 | Always my spouse/ partner | 5999 |
| 6 | Is done by a third person | 1043 |
| 0 | NAP, no partner (3 (AT,BE,CH,CL,ES,IS,KR,NL,NO,PL,SK,US:2,3; | 20832 |
| 8 | Can't choose, KR:DK,ref., NL:DK | 192 |
| 9 | No answer | 1693 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 39037 | 22717 | 1 | 6 |
Valid range from 1 to 6
V48 Q20 Sharing of household work between partners
| Value 73348 | Frequency | |
|---|---|---|
| 1 | I do much more than my fair share | 7128 |
| 2 | I do a bit more than my fair share | 6740 |
| 3 | I do roughly my fair share | 15509 |
| 4 | I do a bit less than my fair share | 5726 |
| 5 | I do much less than my fair share | 3104 |
| 0 | NAP, no partner (3 (AT,BE,CH,CL,ES,IS,KR,NL,NO,PL,SK,US:2,3; | 21270 |
| 8 | Don't know, BG: can't choose, KR: don't know, refused | 342 |
| 9 | No answer | 1935 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 38207 | 23547 | 1 | 5 |
Valid range from 1 to 5
V49 Q21 Final say: Choosing weekend activities
| Value 74347 | Frequency | |
|---|---|---|
| 1 | Mostly me | 5256 |
| 2 | Mostly my spouse/ partner | 4117 |
| 3 | Sometimes me/ sometimes spouse, partner | 9501 |
| 4 | We decide together | 18424 |
| 5 | Someone else | 546 |
| 0 | NAP, no partner (3 (AT,BE,CH,CL,ES,IS,KR,NL,NO,PL,SK,US:2,3; | 21270 |
| 8 | Don't know, BG: can't choose, KR: don't know, refused | 296 |
| 9 | No answer | 2344 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 37844 | 23910 | 1 | 5 |
Valid range from 1 to 5
V50 Q22 Who has the higher income
| Value 75346 | Frequency | |
|---|---|---|
| 1 | My spouse/ partner has no income | 3412 |
| 2 | I have a much higher income | 5612 |
| 3 | I have a higher income | 7079 |
| 4 | We have about the same income | 7011 |
| 5 | My spouse/ partner has a higher income | 7846 |
| 6 | My spouse/ partner has a much higher income | 3479 |
| 7 | I have no income | 3123 |
| 10 | TW: Both have no income | 41 |
| 0 | NAP, no partner (3 (AT,BE,CH,CL,ES,IN,IS,KR,NL,NO,PL,SK,US:2 | 21551 |
| 98 | Don't know, BG: can't choose, KR: don't know, refused | 710 |
| 99 | No answer | 1890 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 37603 | 24151 | 1 | 10 |
Valid range from 1 to 10
V51 Q23a Too tired from work to do duties at home
| Value 76345 | Frequency | |
|---|---|---|
| 1 | Several times a week | 7499 |
| 2 | Several times a month | 9667 |
| 3 | Once or twice | 10125 |
| 4 | Never | 9110 |
| 0 | Doesn't apply: no job, no family responsibilities (HR,LT,MX, | 23717 |
| 8 | Don't know, BG: can't choose, KR: don't know, refused | 146 |
| 9 | No answer | 1490 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36401 | 25353 | 1 | 4 |
Valid range from 1 to 4
V52 Q23b Difficult to fulfill family responsibility
| Value 77344 | Frequency | |
|---|---|---|
| 1 | Several times a week | 4569 |
| 2 | Several times a month | 7479 |
| 3 | Once or twice | 9442 |
| 4 | Never | 14269 |
| 0 | Doesn't apply: no job, no family responsibilities (HR,LT,MX, | 24084 |
| 8 | Don't know, BG: can't choose, KR: don't know, refused | 208 |
| 9 | No answer | 1703 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35759 | 25995 | 1 | 4 |
Valid range from 1 to 4
V53 Q23c Too tired from hh work to function in job
| Value 78343 | Frequency | |
|---|---|---|
| 1 | Several times a week | 1796 |
| 2 | Several times a month | 3331 |
| 3 | Once or twice | 6689 |
| 4 | Never | 24119 |
| 0 | Doesn't apply: no job, no family responsibilities (HR,LT,MX, | 23890 |
| 8 | Don't know, BG: can't choose, KR: don't know, refused | 187 |
| 9 | No answer | 1742 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35935 | 25819 | 1 | 4 |
Valid range from 1 to 4
V54 Q23d Difficult to concentrate at work
| Value 79342 | Frequency | |
|---|---|---|
| 1 | Several times a week | 1671 |
| 2 | Several times a month | 3231 |
| 3 | Once or twice | 8132 |
| 4 | Never | 22698 |
| 0 | Doesn't apply: no job, no family responsibilities (HR,LT,MX, | 24045 |
| 8 | Don't know, BG: can't choose, KR: don't know, refused | 207 |
| 9 | No answer | 1770 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35732 | 26022 | 1 | 4 |
Valid range from 1 to 4
V55 Q24 Life in general: How happy on the whole
| Value 80341 | Frequency | |
|---|---|---|
| 1 | Completely happy | 6752 |
| 2 | Very happy | 17829 |
| 3 | Fairly happy | 24441 |
| 4 | Neither happy nor unhappy | 8373 |
| 5 | Fairly unhappy | 2331 |
| 6 | Very unhappy | 769 |
| 7 | Completely unhappy | 349 |
| 8 | Can't choose, NL:Don't know | 524 |
| 9 | No answer | 386 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 60844 | 910 | 1 | 7 |
Valid range from 1 to 7
V56 Q25 How satisfied with main job
| Value 81340 | Frequency | |
|---|---|---|
| 1 | Completely satisfied | 4123 |
| 2 | Very satisfied | 10723 |
| 3 | Fairly satisfied | 14665 |
| 4 | Neither satisfied nor dissatisfied | 5136 |
| 5 | Fairly dissatisfied | 2285 |
| 6 | Very dissatisfied | 692 |
| 7 | Completely dissatisfied | 423 |
| 0 | Doesn't apply, no job (AT,BG,HR,HU,KR,LT,LV,MX,PH,PL,RU,TW: | 22171 |
| 8 | Can't choose, NL:Don't know | 599 |
| 9 | No answer | 937 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 38047 | 23707 | 1 | 7 |
Valid range from 1 to 7
V57 Q26 How satisfied with family life
| Value 82339 | Frequency | |
|---|---|---|
| 1 | Completely satisfied | 10112 |
| 2 | Very satisfied | 20716 |
| 3 | Fairly satisfied | 19831 |
| 4 | Neither satisfied nor dissatisfied | 5535 |
| 5 | Fairly dissatisfied | 2364 |
| 6 | Very dissatisfied | 764 |
| 7 | Completely dissatisfied | 430 |
| 0 | Not applicable (NL), no partner (BG: 2,3,7 in PARTLIV) | 510 |
| 8 | Can't choose, NL:Don't know | 988 |
| 9 | No answer | 504 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 59752 | 2002 | 1 | 7 |
Valid range from 1 to 7
V58 Q27 Health status
| Value 83338 | Frequency | |
|---|---|---|
| 1 | Excellent, HU: very good | 6947 |
| 2 | Very good, HU: good | 15818 |
| 3 | Good, HU: satisfactory | 20939 |
| 4 | Fair, HU: bad | 13129 |
| 5 | Poor, HU: very bad | 4256 |
| 8 | Can't choose, NL:Don't know | 386 |
| 9 | No answer | 279 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61089 | 665 | 1 | 5 |
Valid range from 1 to 5
V59 Q28 Mother ever working for pay before respondent 14
| Value 84337 | Frequency | |
|---|---|---|
| 1 | Yes, she worked for pay | 31265 |
| 2 | No | 25591 |
| 6 | Doesn't apply, mother not present | 360 |
| 8 | Don't know, KR: don't know, refused | 3906 |
| 9 | No answer | 632 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 56856 | 4898 | 1 | 2 |
Valid range from 1 to 2
V60 Q29a R worked outside: Kid under school age
| Value 85336 | Frequency | |
|---|---|---|
| 1 | Worked full-time | 27346 |
| 2 | Worked part-time | 6976 |
| 3 | Stayed at home | 9185 |
| 4 | TW: Worked at home | 149 |
| 0 | Not applicable, never had children, FI: no children, no answ | 14608 |
| 8 | Does not apply, KR: don't know, refused | 2452 |
| 9 | No answer, don't know | 1038 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43656 | 18098 | 1 | 4 |
Valid range from 1 to 4
V61 Q29b R worked outside: Youngest kid at school
| Value 86335 | Frequency | |
|---|---|---|
| 1 | Worked full-time | 27871 |
| 2 | Worked part-time | 6648 |
| 3 | Stayed at home | 5797 |
| 4 | TW: Worked at home | 117 |
| 0 | Not applicable, never had children, FI: no children, no answ | 14608 |
| 8 | Does not apply, KR: don't know, refused | 5010 |
| 9 | No answer, don't know | 1703 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40433 | 21321 | 1 | 4 |
Valid range from 1 to 4
V62 Q30a Spouse worked outside: Kid under school age
| Value 87334 | Frequency | |
|---|---|---|
| 1 | Worked full-time | 27335 |
| 2 | Worked part-time | 5389 |
| 3 | Stayed at home | 8759 |
| 4 | TW: Worked at home | 124 |
| 0 | Not applicable, never had children, FI: no children, no answ | 14670 |
| 8 | Does not apply, never married, no partner, KR: don't know, r | 4232 |
| 9 | No answer, don't know | 1245 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41607 | 20147 | 1 | 4 |
Valid range from 1 to 4
V63 Q30b Spouse worked outside: Youngest kid at school
| Value 88333 | Frequency | |
|---|---|---|
| 1 | Worked full-time | 26870 |
| 2 | Worked part-time | 5293 |
| 3 | Stayed at home | 6042 |
| 4 | TW: Worked at home | 107 |
| 0 | Not applicable, never had children, FI: no children, no answ | 14670 |
| 8 | Does not apply, never married, no partner, KR: don't know, r | 6940 |
| 9 | No answer, don't know | 1832 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 38312 | 23442 | 1 | 4 |
Valid range from 1 to 4
V64 Q31 Who makes decisions how to raise kids
| Value 89332 | Frequency | |
|---|---|---|
| 1 | Mostly me | 10079 |
| 2 | Mostly my spouse/ partner | 4856 |
| 3 | Sometimes me/ sometimes my spouse, partner | 6460 |
| 4 | We decide/ decided together | 21673 |
| 5 | Someone else | 304 |
| 0 | Not applicable, never had children, FI: no children, no answ | 14027 |
| 8 | Does not apply, never married, no partner, KR: don't know, r | 3013 |
| 9 | No answer, don't know | 1342 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43372 | 18382 | 1 | 5 |
Valid range from 1 to 5
V65 Q32 Spouse, partner degree: Highest completed degree of education - cat for international comparison
| Value 90331 | Frequency | |
|---|---|---|
| 0 | No formal education | 1713 |
| 1 | Primary school | 4533 |
| 2 | Lower secondary (secondary completed does not allow entry to | 7419 |
| 3 | Upper secondary (programs that allow entry to university | 6260 |
| 4 | Post secondary, non-tertiary (other upper secondary programs | 4059 |
| 5 | Lower level tertiary, first stage (also technical schools at | 4809 |
| 6 | Upper level tertiary (Master, Dr.) | 2779 |
| 9 | No answer, don't know, refused | 872 |
| 99 | NAP, no partner (code 3 (AR,CZ,PT: 3,7; IS: 3,7,9) in PARTLI | 14460 |
| 990 | Not available: AT,BG,CL,GB,IE,IL,LV,NO,PH,RU,ZA | 14850 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 31572 | 30182 | 0 | 6 |
Valid range from 0 to 6
V65a Q32a Spouse, partner degree: Highest qualification - former 5-point educational scheme
| Value 91330 | Frequency | |
|---|---|---|
| 0 | No formal education | 211 |
| 1 | Lower formal qualification | 747 |
| 2 | Above lowest qualification | 649 |
| 3 | Higher secondary completed | 1315 |
| 4 | Above higher secondary level | 866 |
| 5 | University degree completed | 1167 |
| 9 | No answer, don't know, refused | 226 |
| 99 | NAP, no partner (CL,IE,IL,NO,PH: code 3 (LV: 2,3) in PARTLIV | 2462 |
| 990 | Not available: AR,AT,AU,BE,BG,CA,CH,CN,CZ,DE,DK,ES,FI,FR,GB, | 54111 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 4955 | 56799 |
Valid range from 0 to 5
V66 Q33 Spouse, partner: Age
| Value 92329 | Frequency | |
|---|---|---|
| 14 | 14 years | 2 |
| 15 | 15 years | 4 |
| 102 | 102 years | 1 |
| 0 | NAP, no partner (code 3 (AR,CZ,PT:3,7; IS:3,7,9; LV:2,3) in | 25469 |
| 998 | Don't know | 8 |
| 999 | No answer | 1468 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 34809 | 26945 | 14 | 102 |
Valid range from 14 to 102
V67 Q34 Duration of relationship
| Value 93328 | Frequency | |
|---|---|---|
| 0 | Less than one year | 490 |
| 1 | One year | 762 |
| 2 | 2 years | 989 |
| 3 | 3 years, CN: 3 or more | 5545 |
| 97 | Don't know | 434 |
| 98 | No answer, refused, KR: don't know, refused | 1794 |
| 99 | NAP, no partner (code 3 (AR,CZ,PT:3,7; AT,BE,ES,IE,IS,KR,LV: | 18570 |
| 990 | Not available: BG,GB,PH,RU | 4678 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 36278 | 25476 | 0 | 92 |
Valid range from 0 to 92
SEX Sex of Respondent
| Value 94327 | Frequency | |
|---|---|---|
| 1 | Male | 28624 |
| 2 | Female | 33058 |
| 9 | No answer | 72 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61682 | 72 | 1 | 2 |
Valid range from 1 to 2
BIRTH Year of birth
| Value 95326 | Frequency | |
|---|---|---|
| 1910 | 1910 | 1 |
| 1998 | 1998 | 14 |
| 9999 | No answer | 195 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61559 | 195 | 1910 | 1998 |
Valid range from 1910 to 1998
AGE Age of respondent
| Value 96325 | Frequency | |
|---|---|---|
| 15 | 15 years | 23 |
| 16 | 16 years | 106 |
| 17 | 17 years | 106 |
| 18 | 18 years | 706 |
| 102 | 102 years | 1 |
| 999 | No answer | 195 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61559 | 195 | 15 | 102 |
Valid range from 15 to 102
EDUCYRS Education I: years of schooling
| Value 97324 | Frequency | |
|---|---|---|
| 0 | No formal schooling, no years at school | 2146 |
| 1 | One year | 133 |
| 73 | 73 years | 1 |
| 95 | BG,ES,GB: Still at school | 54 |
| 96 | BG,ES,GB: Still at college, university, in vocational traini | 131 |
| 98 | Don't know | 335 |
| 99 | No answer, NL: no answer, refused | 1026 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 60393 | 1361 | 0 | 96 |
Valid range from 0 to 96
AR_DEGR Country specific highest completed degree of education: Argentina
| Value 98323 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 17 |
| 2 | Primary incomplete | 100 |
| 3 | Primary completed | 177 |
| 4 | Secondary incomplete | 162 |
| 5 | Secondary completed | 206 |
| 6 | Non-university higher incomplete | 34 |
| 7 | Non-university higher completed | 83 |
| 8 | University incomplete | 127 |
| 9 | University completed | 57 |
| 10 | Postgraduate completed | 13 |
| 0 | NAP, other countries | 60777 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 976 | 60778 | 1 | 10 |
Valid range from 1 to 10
AT_DEGR Country specific highest completed degree of education: Austria
| Value 99322 | Frequency | |
|---|---|---|
| 2 | Primary completed, Hauptschule | 165 |
| 3 | Apprenticeship completed | 481 |
| 4 | Middle school, vocational | 178 |
| 5 | Secondary completed, Matura | 92 |
| 6 | Higher professional school, BHS | 104 |
| 7 | University completed | 162 |
| 0 | NAP, other countries | 60572 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1182 | 60572 |
Valid range from 2 to 7
AU_DEGR Country specific highest completed degree of education: Australia
| Value 100321 | Frequency | |
|---|---|---|
| 1 | Did not complete High School to Year 10 | 49 |
| 2 | Completed High School to Year 10 | 284 |
| 3 | Completed High School to Year 12 | 126 |
| 4 | Trade qualification or apprenticeship | 324 |
| 5 | Certificate or Diploma (TAFE or business college) | 226 |
| 6 | Bachelor Degree (including Honors) | 260 |
| 7 | Postgraduate Degree or Postgraduate Diploma | 246 |
| 0 | NAP, other countries | 60142 |
| 99 | No answer | 97 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1515 | 60239 |
Valid range from 1 to 7
BE_DEGR Country specific highest completed degree of education: Belgium
| Value 101320 | Frequency | |
|---|---|---|
| 1 | None | 76 |
| 2 | Primary education | 188 |
| 3 | Lower general secondary | 194 |
| 4 | Lower technical art general secondary | 109 |
| 5 | Lower vocational secondary | 129 |
| 6 | Higher general secondary | 241 |
| 7 | Higher technical art secondary | 191 |
| 8 | Higher vocational secondary | 114 |
| 9 | 7th year vocational secondary education | 55 |
| 10 | 7th year general technical art secondary education | 49 |
| 11 | Higher vocational education | 49 |
| 12 | Professional bachelor non-university, bachelor university | 418 |
| 13 | University (master, licentiate, engineer, doctor) | 349 |
| 0 | NAP, other countries | 59552 |
| 99 | No answer | 40 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2162 | 59592 | 1 | 13 |
Valid range from 1 to 13
BG_DEGR Country specific highest completed degree of education: Bulgaria
| Value 102319 | 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 | 60751 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 60751 | 1 | 8 |
Valid range from 1 to 8
CA_DEGR Country specific highest completed degree of education: Canada
| Value 103318 | Frequency | |
|---|---|---|
| 1 | No formal education | 3 |
| 2 | Primary school | 25 |
| 3 | Some high school | 68 |
| 4 | Finished high school | 139 |
| 5 | College/ CEGEP/ Technical | 228 |
| 6 | Some university | 189 |
| 7 | Completed university | 180 |
| 8 | Graduate studies | 129 |
| 0 | NAP, other countries | 60782 |
| 99 | No answer | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 961 | 60793 | 1 | 8 |
Valid range from 1 to 8
CH_DEGR Country specific highest completed degree of education: Switzerland
| Value 104317 | Frequency | |
|---|---|---|
| 1 | Incomplete primary education | 1 |
| 2 | Primary school (4 to 6 years of schooling) | 26 |
| 3 | Secondary education (first stage-including primary school wi | 145 |
| 4 | Additional year of secondary education, preparation for voca | 20 |
| 5 | Elementary vocational training (enterprise and school, 1-2 y | 59 |
| 6 | Apprenticeship (vocational training, dual system, 3-4 years) | 405 |
| 7 | General training school (2-3 years) | 43 |
| 8 | Vocational baccalaureate | 28 |
| 9 | Diploma for teaching primary school or preprimary school | 20 |
| 10 | Baccalaureate preparing for university | 50 |
| 11 | Second vocational training (or apprenticeship as second educ | 41 |
| 12 | Vocational baccalaureate for adults | 3 |
| 13 | Baccalaureate for adults or apprenticeship after Baccalaurea | 5 |
| 14 | Advanced vocational qualification - specialization exam, fed | 50 |
| 15 | Higher vocational training - diploma of a high school - tech | 59 |
| 16 | Higher vocational training - diploma of specific high school | 48 |
| 17 | Applied science and pedagogical university - Bachelor | 40 |
| 18 | Applied science and pedagogical university - Master | 34 |
| 19 | University diploma - intermediary level | 9 |
| 20 | University (including technical) - Bachelor and short degree | 31 |
| 21 | University (including technical) - requiring more than 4 yea | 21 |
| 22 | University (including technical) - Master | 62 |
| 23 | Doctoral degree | 35 |
| 0 | NAP, other countries | 60517 |
| 98 | Don't know | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1235 | 60519 | 1 | 23 |
Valid range from 1 to 23
CL_DEGR Country specific highest completed degree of education: Chile
| Value 105316 | Frequency | |
|---|---|---|
| 1 | None, no formal education | 42 |
| 2 | Incomplete primary | 327 |
| 3 | Primary completed | 199 |
| 4 | Incomplete secondary | 190 |
| 5 | Secondary completed | 438 |
| 6 | Incomplete non-university higher education | 38 |
| 7 | Completed non-university higher education | 96 |
| 8 | Incomplete University | 105 |
| 9 | University completed | 106 |
| 10 | Master, Ph.D. | 23 |
| 0 | NAP, other countries | 60190 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1564 | 60190 |
Valid range from 1 to 10
CN_DEGR Country specific highest completed degree of education: China
| Value 106315 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 800 |
| 2 | Private school | 35 |
| 3 | Primary school | 1392 |
| 4 | Junior high school | 1660 |
| 5 | Professional school | 423 |
| 6 | High school | 702 |
| 7 | College | 491 |
| 8 | University | 422 |
| 9 | Graduate | 20 |
| 0 | NAP, other countries | 55808 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 5945 | 55809 |
Valid range from 1 to 9
CZ_DEGR Country specific highest completed degree of education: Czech Republic
| Value 107314 | Frequency | |
|---|---|---|
| 1 | Incomplete Primary | 5 |
| 2 | Primary completed | 166 |
| 3 | Lower vocational, no diploma | 523 |
| 4 | General secondary, no diploma | 153 |
| 5 | Vocational with diploma | 197 |
| 6 | Technical secondary | 430 |
| 7 | Academic secondary | 96 |
| 8 | Post secondary | 26 |
| 9 | Tertiary, bachelor degree | 31 |
| 10 | Tertiary, master degree | 141 |
| 11 | Post-graduate education | 9 |
| 0 | NAP, other countries | 59950 |
| 99 | No answer | 27 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1777 | 59977 |
Valid range from 1 to 11
DE_DEGR Country specific highest completed degree of education: Germany
| Value 108313 | Frequency | |
|---|---|---|
| 2 | Still at school: 7 years of schooling and more | 10 |
| 3 | School left without certificate | 18 |
| 4 | Lower secondary (Hauptschule) | 120 |
| 5 | Middle school (mittlere Reife) | 45 |
| 6 | Secondary, technical (Fachhochschulreife) | 9 |
| 7 | Higher secondary (Abitur) | 65 |
| 8 | Vocational training, degree from German dual system | 1019 |
| 9 | Vocational training, master craftsmen (Meister) | 114 |
| 10 | University of applied sciences (Fachhochschule): bachelor | 17 |
| 11 | University: bachelor | 21 |
| 12 | University of applied sciences (Fachhochschule: master or ot | 98 |
| 13 | University: master or other degree | 205 |
| 14 | University: doctorate | 22 |
| 98 | Other qualification | 3 |
| 0 | NAP, other countries | 59988 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1766 | 59988 |
Valid range from 2 to 98
DK_DEGR Country specific highest completed degree of education: Denmark
| Value 109312 | Frequency | |
|---|---|---|
| 1 | 7 years primary school or shorter | 16 |
| 2 | 8 years primary school | 12 |
| 3 | 9 years primary school | 27 |
| 4 | Secondary, 10 years or similar | 29 |
| 5 | Gymnasium, general | 61 |
| 6 | Gymnasium, technical | 18 |
| 7 | Other school education | 6 |
| 8 | Basic vocational and apprenticeship | 221 |
| 9 | Other completed vocational education | 80 |
| 10 | Short advanced education, less than 3 years | 158 |
| 11 | Middle range advanced, 3-4 years | 404 |
| 12 | Further advanced, more than 4 years | 254 |
| 13 | Other vocational education | 117 |
| 0 | NAP, other countries | 60351 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1403 | 60351 |
Valid range from 1 to 13
ES_DEGR Country specific highest completed degree of education: Spain
| Value 110311 | Frequency | |
|---|---|---|
| 1 | No formal schooling, did not go to school | 149 |
| 2 | Less than 5 years of formal schooling | 87 |
| 3 | Primary School completed | 497 |
| 4 | Low Secondary School, Junior High | 581 |
| 5 | Vocational Training, medium level Professional Training | 175 |
| 6 | High Secondary School completed | 311 |
| 7 | Vocational Training, high level Professional Training | 226 |
| 8 | Technical Architecture, technical Engineering, 3 years Techn | 45 |
| 9 | 3 years completed non-technical University | 229 |
| 10 | Architecture and Engineering, Technical Schools | 32 |
| 11 | College Degree, 4 years | 198 |
| 12 | Official Graduate Studies, PhD, Master | 31 |
| 0 | NAP, other countries | 59159 |
| 99 | No answer | 34 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2561 | 59193 |
Valid range from 1 to 12
FI_DEGR Country specific highest completed degree of education: Finland
| Value 111310 | Frequency | |
|---|---|---|
| 1 | Primary education | 117 |
| 2 | Comprehensive, primary and lower secondary | 80 |
| 3 | Post-comprehensive, vocational school or course | 248 |
| 4 | General upper secondary education or certificate | 120 |
| 5 | Vocational post-secondary non-tertiary education | 266 |
| 6 | Polytechnics | 124 |
| 7 | University, lower academic degree, BA | 69 |
| 8 | University, higher academic degree, MA | 140 |
| 0 | NAP, other countries | 60583 |
| 99 | No answer | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1164 | 60590 |
Valid range from 1 to 8
FR_DEGR Country specific highest completed degree of education: France
| Value 112309 | Frequency | |
|---|---|---|
| 1 | None | 51 |
| 2 | Primary incomplete | 64 |
| 3 | Primary completed | 234 |
| 4 | General secondary level 1 | 173 |
| 5 | Vocational secondary level 1 | 401 |
| 6 | Vocational secondary level 2 | 108 |
| 7 | Incomplete general secondary level 2 | 160 |
| 8 | General secondary level 2 | 248 |
| 9 | College | 499 |
| 10 | University | 439 |
| 0 | NAP, other countries | 59345 |
| 99 | No answer | 32 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2377 | 59377 |
Valid range from 1 to 10
GB_DEGR Country specific highest completed degree of education: Great Britain
| Value 113308 | Frequency | |
|---|---|---|
| 1 | No (secondary) qualifications | 197 |
| 2 | CSE, GCSE or equivalent, certificate of secondary qualificat | 54 |
| 3 | O-level or equivalent, certificate of secondary qualificatio | 153 |
| 4 | A-level or equivalent | 154 |
| 5 | Higher below degree level | 118 |
| 6 | Degree, University or CNAA or Diploma | 178 |
| 7 | Foreign or other | 8 |
| 0 | NAP, other countries | 60804 |
| 99 | No answer | 88 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 862 | 60892 | 1 | 7 |
Valid range from 1 to 7
HR_DEGR Country specific highest completed degree of education: Croatia
| Value 114307 | Frequency | |
|---|---|---|
| 1 | Primary school not completed | 41 |
| 2 | Primary school completed | 95 |
| 3 | Three years vocational school completed | 181 |
| 4 | Four years vocational school completed | 427 |
| 5 | General secondary school (gymnasium) completed | 56 |
| 6 | Completed higher school, post secondary degree, college | 73 |
| 7 | University degree completed, university studies | 123 |
| 0 | NAP, other countries | 60754 |
| 99 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 996 | 60758 |
Valid range from 1 to 7
HU_DEGR Country specific highest completed degree of education: Hungary
| Value 115306 | Frequency | |
|---|---|---|
| 1 | Less than primary | 25 |
| 2 | 8 years elementary | 200 |
| 3 | Vocational | 284 |
| 4 | Vocational with maturity | 167 |
| 5 | Gymnasium with maturity | 114 |
| 6 | Secondary technical after maturity | 55 |
| 7 | Higher technical after maturity | 21 |
| 8 | College | 99 |
| 9 | University | 46 |
| 0 | NAP, other countries | 60742 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1011 | 60743 | 1 | 9 |
Valid range from 1 to 9
IE_DEGR Country specific highest completed degree of education: Ireland
| Value 116305 | Frequency | |
|---|---|---|
| 1 | None | 7 |
| 2 | Incomplete primary education | 10 |
| 3 | Primary completed, compulsory | 58 |
| 4 | Incomplete first cycle secondary | 65 |
| 5 | Completed first cycle secondary | 94 |
| 6 | Secondary completed | 206 |
| 7 | Incomplete third level | 51 |
| 8 | Certificate or Diploma | 253 |
| 9 | University first degree | 187 |
| 10 | University higher degree, masters or equivalent | 276 |
| 0 | NAP, other countries | 60539 |
| 99 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1207 | 60547 | 1 | 10 |
Valid range from 1 to 10
IL_DEGR Country specific highest completed degree of education: Israel
| Value 117304 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 21 |
| 2 | Lowest formal qualification | 105 |
| 3 | Incomplete vocational qualification | 59 |
| 4 | Vocational completed without matriculation | 64 |
| 5 | Vocational completed with matriculation | 31 |
| 6 | Incomplete academic secondary | 66 |
| 7 | Full general without matriculation | 117 |
| 8 | Academic secondary completed | 188 |
| 9 | Yeshiva without matriculation | 10 |
| 10 | Yeshiva with matriculation | 13 |
| 11 | Semi higher, post secondary | 152 |
| 12 | Incomplete university | 69 |
| 13 | University completed, BA or more | 317 |
| 0 | NAP, other countries | 60534 |
| 99 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1212 | 60542 |
Valid range from 1 to 13
IN_DEGR Country specific highest completed degree of education: India
| Value 118303 | Frequency | |
|---|---|---|
| 1 | Illiterate (can't read and write) | 225 |
| 2 | Non-formal education (can read and write) | 240 |
| 3 | Up to Primary level | 145 |
| 4 | Primary completed | 113 |
| 5 | Up to High School | 444 |
| 6 | Higher Secondary | 272 |
| 7 | Up to Graduation | 182 |
| 8 | Up to Post Graduation | 32 |
| 9 | Professional | 7 |
| 0 | NAP, other countries | 60094 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1660 | 60094 | 1 | 9 |
Valid range from 1 to 9
IS_DEGR Country specific highest completed degree of education: Iceland
| Value 119302 | Frequency | |
|---|---|---|
| 1 | Primary school not completed | 10 |
| 2 | Primary school (around 12 years old) | 23 |
| 3 | Primary school (around 14 years old) | 35 |
| 4 | Compulsory education (around 16 years old) | 208 |
| 5 | Short vocational training to secondary school level (e.g. ho | 80 |
| 6 | Upper secondary completed (gymnasium, university bridging co | 109 |
| 7 | Apprenticeship - upper secondary | 91 |
| 8 | Longer vocational training to secondary school level (e.g. n | 38 |
| 9 | Vocational training on completion of secondary school level | 34 |
| 10 | Master craftsman - license to supervise apprentices | 69 |
| 11 | Short, practical training at university level, diploma | 27 |
| 12 | Short vocational training at university level, basic diploma | 28 |
| 13 | Undergraduate degree BA/BS/B.Ed. or additional diploma | 207 |
| 14 | Studies at university longer than 4 years, at an undergradua | 35 |
| 15 | Master's degree MA/MS | 110 |
| 16 | Doctoral degree PhD | 16 |
| 0 | NAP, other countries | 60582 |
| 99 | No answer | 52 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1120 | 60634 |
Valid range from 1 to 16
JP_DEGR Country specific highest completed degree of education: Japan
| Value 120301 | Frequency | |
|---|---|---|
| 1 | Junior High school completed | 186 |
| 2 | Still at High school | 51 |
| 3 | High school completed | 476 |
| 4 | Still at Junior college or university | 17 |
| 5 | Junior college completed | 221 |
| 6 | Still at Graduate school | 3 |
| 7 | Finished university or graduate | 239 |
| 8 | Others | 6 |
| 0 | NAP, other countries | 60542 |
| 99 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1199 | 60555 |
Valid range from 1 to 8
KR_DEGR Country specific highest completed degree of education: Korea (South)
| Value 121300 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 117 |
| 2 | Elementary incomplete | 44 |
| 3 | Elementary completed | 176 |
| 4 | Middle school incomplete | 16 |
| 5 | Middle school completed | 122 |
| 6 | High school incomplete | 28 |
| 7 | High school completed | 377 |
| 8 | Junior college incomplete | 29 |
| 9 | Junior college completed | 104 |
| 10 | University incomplete | 113 |
| 11 | University completed | 235 |
| 12 | Master degree incomplete | 6 |
| 13 | Master degree competed | 24 |
| 14 | Doctoral degree incomplete | 2 |
| 15 | Doctoral degree completed | 3 |
| 0 | NAP, other countries | 60358 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1396 | 60358 | 1 | 15 |
Valid range from 1 to 15
LT_DEGR Country specific highest completed degree of education: Lithuania
| Value 122299 | Frequency | |
|---|---|---|
| 1 | Not completed primary | 5 |
| 2 | Primary | 37 |
| 3 | Vocational (without completing basic) | 7 |
| 4 | Basic (including youth schools, night schools) | 131 |
| 5 | Vocational (completing basic) | 41 |
| 6 | Vocational (after completing basic, the training program las | 44 |
| 7 | Vocational (after completing basic, the training program las | 60 |
| 8 | Secondary (including gymnasium schools, lyceums, night schoo | 184 |
| 9 | Vocational together with secondary (after completing basic) | 111 |
| 10 | Vocational (after completing secondary) | 93 |
| 11 | Higher vocational or special secondary after completing basi | 99 |
| 12 | Higher vocational or special secondary after completing seco | 87 |
| 13 | Higher vocational (non-university degree) | 50 |
| 14 | Higher (university degree attained in bachelor studies) | 102 |
| 15 | Higher university degree attained in integrated studies or i | 102 |
| 16 | Higher (university degree attained in master or resident stu | 28 |
| 0 | NAP, other countries | 60567 |
| 99 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1181 | 60573 |
Valid range from 1 to 16
LV_DEGR Country specific highest completed degree of education: Latvia
| Value 123298 | Frequency | |
|---|---|---|
| 1 | Incomplete basic education, less than 8 forms | 10 |
| 2 | Primary completed, basic education, 9 years | 88 |
| 3 | Incomplete secondary, vocational training 2-3 years | 69 |
| 4 | Secondary completed, 3 years | 205 |
| 5 | Secondary professional education, 4 years | 323 |
| 6 | Incomplete higher education, at least 2 completed years | 65 |
| 7 | Higher education, bachelor, master, doctor degree | 240 |
| 0 | NAP, other countries | 60754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1000 | 60754 |
Valid range from 1 to 7
MX_DEGR Country specific highest completed degree of education: Mexico
| Value 124297 | Frequency | |
|---|---|---|
| 1 | None | 202 |
| 2 | Primary school completed | 317 |
| 3 | Technical training without secondary qualification | 53 |
| 4 | Secondary school completed | 325 |
| 5 | Technical training after secondary qualification | 58 |
| 6 | High school completed | 270 |
| 7 | Technical training after high school qualification | 66 |
| 8 | University completed | 164 |
| 9 | Master, doctorate degree | 31 |
| 0 | NAP, other countries | 60227 |
| 99 | No answer | 41 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1486 | 60268 | 1 | 9 |
Valid range from 1 to 9
NL_DEGR Country specific highest completed degree of education: Netherlands
| Value 125296 | Frequency | |
|---|---|---|
| 1 | Incomplete primary education (Basisonderwijs onvoltooid) | 11 |
| 2 | Primary education completed (Basissonderwijs) | 30 |
| 3 | Lower vocational (LBO-VBO-VMBOb) | 165 |
| 4 | Middle secondary general 4 yrs (MAVO-MULO-VMBOt) | 172 |
| 5 | Middle vocational 1-3 yrs/ Apprenticeships (kMBO-BBL-BOL) | 131 |
| 6 | Middle vocational 4 yrs (MBO-kHBO) | 114 |
| 7 | Upper middle secondary general 5 yrs (HAVO-MMS) | 96 |
| 8 | Upper secondary general 6 yrs (VWO-HBS) | 54 |
| 9 | Higher vocational (HBO) | 283 |
| 10 | University (WO, TH, EH) | 167 |
| 11 | Post-University (Postdoctoraal) | 37 |
| 12 | PhD (Promotie) | 36 |
| 0 | NAP, other countries | 60439 |
| 99 | No answer | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1296 | 60458 |
Valid range from 1 to 12
NO_DEGR Country specific highest completed degree of education: Norway
| Value 126295 | Frequency | |
|---|---|---|
| 1 | Primary completed | 14 |
| 2 | Secondary, vocational, incomplete | 110 |
| 3 | Secondary, academic, incomplete | 226 |
| 4 | Secondary, vocational, completed | 119 |
| 5 | Secondary, academic, completed | 158 |
| 6 | University, college, less than 1 year | 56 |
| 7 | University, college, 1-2 years | 185 |
| 8 | University, college, 3-4 years | 378 |
| 9 | University, college, 5 years or more | 190 |
| 0 | NAP, other countries | 60310 |
| 99 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1436 | 60318 |
Valid range from 1 to 9
PH_DEGR Country specific highest completed degree of education: Philippines
| Value 127294 | Frequency | |
|---|---|---|
| 1 | No formal education | 18 |
| 2 | Some elementary, incomplete primary | 139 |
| 3 | Completed elementary, primary completed | 171 |
| 4 | Some high school, incomplete secondary | 204 |
| 5 | Completed high school, secondary completed | 301 |
| 6 | Some vocational | 36 |
| 7 | Completed vocational | 70 |
| 8 | Some college | 146 |
| 9 | Completed college | 114 |
| 10 | Post college | 1 |
| 0 | NAP, other countries | 60554 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 60554 |
Valid range from 1 to 10
PL_DEGR Country specific highest completed degree of education: Poland
| Value 128293 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 2 |
| 2 | Incomplete elementary | 10 |
| 3 | Completed elementary, primary completed | 146 |
| 4 | Gymnasium | 48 |
| 5 | Basic vocational | 299 |
| 6 | Incomplete secondary | 23 |
| 7 | Secondary general | 112 |
| 8 | Secondary vocational | 203 |
| 9 | Post secondary | 41 |
| 10 | Incomplete higher | 13 |
| 11 | Completed higher at licentiate level | 53 |
| 12 | Completed higher at master level | 165 |
| 0 | NAP, other countries | 60639 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1115 | 60639 |
Valid range from 1 to 12
PT_DEGR Country specific highest completed degree of education: Portugal
| Value 129292 | Frequency | |
|---|---|---|
| 1 | None | 45 |
| 2 | Primary school (up to 4th grade, primary education, basic le | 273 |
| 3 | Secondary school (preparatory/5 and 6 years/5th or 6th grade | 95 |
| 4 | Educational and vocational courses type 1; Certificate of pr | 4 |
| 5 | Basic Education 3, basis level 3, 9 years | 188 |
| 6 | Educational and vocational courses type 2; Certificate of pr | 2 |
| 7 | Educational and vocational courses type 3 and 4; Certificate | 1 |
| 8 | Secondary Education - scientific humanistic courses; Certifi | 207 |
| 9 | Secondary Education - technology, specialised arts, professi | 27 |
| 10 | Courses of technological specialisation, Certificate of tech | 10 |
| 11 | Polytechnic superior level: 3 years bachelor | 15 |
| 12 | Polytechnic superior level: 3-4 years graduation | 17 |
| 13 | University superior level: 3-4 years graduation, bi-stage de | 42 |
| 14 | Post-graduation: specialisation post-degree without attribut | 4 |
| 15 | University superior level: more than 4 years degree, bi-stag | 39 |
| 16 | Master degree (including integrated master) | 27 |
| 17 | PhD | 3 |
| 0 | NAP, other countries | 60753 |
| 99 | No answer, don't know | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 999 | 60755 |
Valid range from 1 to 17
RU_DEGR Country specific highest completed degree of education: Russia
| Value 130291 | Frequency | |
|---|---|---|
| 1 | Primary or less | 60 |
| 2 | Incomplete secondary | 141 |
| 3 | Completed secondary school | 258 |
| 4 | Vocational school, incomplete secondary education | 125 |
| 5 | Secondary vocational or trade school | 93 |
| 6 | Vocational secondary school (college, technical school (tekh | 400 |
| 7 | Incomplete higher tertiary | 64 |
| 8 | Completed higher tertiary | 384 |
| 0 | NAP, other countries | 60229 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1525 | 60229 | 1 | 8 |
Valid range from 1 to 8
SE_DEGR Country specific highest completed degree of education: Sweden
| Value 131290 | Frequency | |
|---|---|---|
| 1 | Incomplete primary/ comprehensive school | 7 |
| 2 | Primary/ comprehensive school pre 1962 (6-8 years) | 99 |
| 3 | Primary/ comprehensive school post 1962 (9 years) | 80 |
| 4 | Lower secondary school | 33 |
| 5 | Vocational school (1963-70) | 18 |
| 6 | Vocational school (2 years) | 150 |
| 7 | 3 or 4 years gymnasium, academic track | 114 |
| 8 | Vocational school post 1992 | 58 |
| 9 | Gymnasium, academic track post 1992 | 36 |
| 10 | University studies without degree | 75 |
| 11 | University degree, less than 3 years | 84 |
| 12 | University degree, 3 years or more | 267 |
| 13 | Doctors degree | 13 |
| 0 | NAP, other countries | 60694 |
| 99 | No answer | 26 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1034 | 60720 |
Valid range from 1 to 13
SI_DEGR Country specific highest completed degree of education: Slovenia
| Value 132289 | Frequency | |
|---|---|---|
| 1 | Not completed ISCED level | 14 |
| 2 | ISCED 1, completed primary education | 49 |
| 3 | General ISCED 2A, access ISCED 3A general/ all 3 | 181 |
| 4 | Vocational ISCED 3C >= 2 years, no access ISCED 5 | 211 |
| 5 | Vocational ISCED 3A, access upper tier ISCED 5A/ all 5 | 241 |
| 6 | General ISCED 3A, access upper tier ISCED 5A/ all 5 | 76 |
| 7 | ISCED 5B short, advanced vocational qualifications | 70 |
| 8 | ISCED 5A medium, bachelor/ equivalent from lower tier tertia | 66 |
| 9 | ISCED 5A medium, bachelor/ equivalent from upper/ single tie | 110 |
| 10 | ISCED 5A long, master/ equivalent from upper/ single tier te | 12 |
| 11 | ISCED 6 doctoral degree | 3 |
| 0 | NAP, other countries | 60720 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1033 | 60721 |
Valid range from 1 to 11
SK_DEGR Country specific highest completed degree of education: Slovakia
| Value 133288 | Frequency | |
|---|---|---|
| 1 | Incomplete elementary school | 14 |
| 2 | Completed elementary school | 104 |
| 3 | Completed elementary and vocational training | 41 |
| 4 | Vocational training with certificate, apprenticeship | 292 |
| 5 | Vocational school or trade school | 64 |
| 6 | Completed apprenticeship training with maturity level certif | 89 |
| 7 | Completed vocational upper secondary education | 269 |
| 8 | Completed general upper secondary education, grammar school | 60 |
| 9 | Follow-up, post-maturity education | 24 |
| 10 | University, college education, bachelor degree | 23 |
| 11 | University, college completed master or engineering programm | 144 |
| 12 | Postgraduate level or higher education study | 4 |
| 0 | NAP, other countries | 60626 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1128 | 60626 | 1 | 12 |
Valid range from 1 to 12
TR_DEGR Country specific highest completed degree of education: Turkey
| Value 134287 | Frequency | |
|---|---|---|
| 1 | No formal education | 131 |
| 2 | Primary completed | 664 |
| 3 | Junior High School completed | 222 |
| 4 | High School completed | 402 |
| 5 | Incomplete University degree | 28 |
| 6 | University degree | 165 |
| 0 | NAP, other countries | 60134 |
| 99 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1612 | 60142 |
Valid range from 1 to 6
TW_DEGR Country specific highest completed degree of education: Taiwan
| Value 135286 | Frequency | |
|---|---|---|
| 1 | None | 99 |
| 2 | Self-study | 14 |
| 3 | Elementary school | 301 |
| 4 | Junior high school | 250 |
| 5 | Vocational junior high school | 8 |
| 6 | Senior high school general | 78 |
| 7 | Senior high school vocational subject | 84 |
| 8 | Vocational senior high school | 352 |
| 9 | Cadet school, senior high level | 3 |
| 10 | 5 years junior college, after junior high | 81 |
| 11 | 2 years junior college after vocational high | 124 |
| 12 | 3 years junior college, after high general | 25 |
| 13 | Military, police junior college, 1 year | 9 |
| 14 | Military, police college, 2 years | 13 |
| 15 | Open junior college | 9 |
| 16 | Open college | 12 |
| 17 | Military, police college | 15 |
| 18 | Institute of technology | 151 |
| 19 | College (bachelor degree) | 308 |
| 20 | Graduate school, master degree | 123 |
| 21 | Graduate school, doctorate degree, PhD | 13 |
| 0 | NAP, other countries | 59682 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2072 | 59682 |
Valid range from 1 to 21
US_DEGR Country specific highest completed degree of education: United States
| Value 136285 | Frequency | |
|---|---|---|
| 1 | Less than High school | 181 |
| 2 | High school | 667 |
| 3 | Junior college | 94 |
| 4 | Bachelor degree | 224 |
| 5 | Graduate school | 136 |
| 0 | NAP, other countries | 60452 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1302 | 60452 |
Valid range from 1 to 5
VE_DEGR Country specific highest completed degree of education: Venezuela
| Value 137284 | Frequency | |
|---|---|---|
| 1 | No read nor write | 0 |
| 2 | Without formal schooling, but could read and write | 24 |
| 3 | Incomplete primary | 29 |
| 4 | Primary completed | 117 |
| 5 | Incomplete secondary | 157 |
| 6 | Secondary completed | 366 |
| 7 | Incomplete technical superior | 43 |
| 8 | Technical superior (advanced) completed | 96 |
| 9 | Incomplete university | 75 |
| 10 | University completed | 87 |
| 11 | Postgraduate | 3 |
| 0 | NAP, other countries | 60757 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 997 | 60757 |
Valid range from 1 to 11
ZA_DEGR Country specific highest completed degree of education: South Africa
| Value 138283 | Frequency | |
|---|---|---|
| 1 | No schooling | 111 |
| 2 | Grade 0/Grade 1 | 2 |
| 3 | Sub A/Grade 1 | 13 |
| 4 | Sub B/Grade 2 | 23 |
| 5 | Grade 3/Standard 1 | 40 |
| 6 | Grade 4/Standard 2 | 48 |
| 7 | Grade 5/Standard 3 | 56 |
| 8 | Grade 6/Standard 4 | 87 |
| 9 | Grade 7/Standard 5 | 119 |
| 10 | Grade 8/Standard 6/Form 1 | 231 |
| 11 | Grade 9/Standard 7/Form 2 | 158 |
| 12 | Grade 10/Standard 8/Form 3 | 308 |
| 13 | Grade 11/Standard 9/Form 4 | 244 |
| 14 | Grade 12/Standard 10/Form 5 | 654 |
| 15 | NTC I | 9 |
| 16 | NTC II | 7 |
| 17 | NTC III | 26 |
| 18 | Diploma/certificate with less than Grade 12/Std 10 | 52 |
| 19 | Diploma/certificate with Grade 12/Std 10 | 118 |
| 20 | Degree | 88 |
| 21 | Postgraduate degree or diploma | 63 |
| 22 | Other | 12 |
| 0 | NAP, other countries | 59207 |
| 98 | Don't know | 3 |
| 99 | No answer | 75 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2469 | 59285 | 1 | 22 |
Valid range from 1 to 22
DEGREE Highest completed degree of education: Categories for international comparison
| Value 139282 | Frequency | |
|---|---|---|
| 0 | No formal education | 4256 |
| 1 | Primary school (elementary school) | 5555 |
| 2 | Lower secondary (secondary completed does not allow entry to | 14363 |
| 3 | Upper secondary (programs that allows entry to university | 13913 |
| 4 | Post secondary, non-tertiary (other upper secondary programs | 7977 |
| 5 | Lower level tertiary, first stage (also technical schools at | 9504 |
| 6 | Upper level tertiary (Master, Dr.) | 5548 |
| 9 | No answer, CH: don't know | 638 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61116 | 638 | 0 | 6 |
Valid range from 0 to 6
WORK Currently, formerly, or never in paid work
| Value 140281 | Frequency | |
|---|---|---|
| 1 | Currently in paid work | 32665 |
| 2 | Currently not in paid work, paid work in the past | 20605 |
| 3 | Never had paid work | 7884 |
| 9 | No answer | 600 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61154 | 600 | 1 | 3 |
Valid range from 1 to 3
WRKHRS Hours worked weekly
| Value 141280 | Frequency | |
|---|---|---|
| 1 | One hour | 51 |
| 96 | 96 hours and more | 227 |
| 97 | TW: time varies | 76 |
| 0 | NAP (code 2,3 (AR,DK,VE: code 3) in WORK) | 27409 |
| 98 | Don't know | 526 |
| 99 | No answer | 1566 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 32253 | 29501 | 1 | 97 |
Valid range from 1 to 97
EMPREL Employment relationship
| Value 142279 | Frequency | |
|---|---|---|
| 1 | Employee | 42149 |
| 2 | Self-employed without employees | 4870 |
| 3 | Self-employed with employees | 2367 |
| 4 | Working for own family's business | 2380 |
| 0 | NAP (code 3 (HU: code 2,3) in WORK) | 8319 |
| 8 | Don't know | 10 |
| 9 | No answer | 1659 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51766 | 9988 | 1 | 4 |
Valid range from 1 to 4
NEMPLOY Self-employed: how many employees
| Value 143278 | Frequency | |
|---|---|---|
| 1 | 1 employee | 453 |
| 4 | 4 employees, NL: 2-5 employees | 213 |
| 9 | 9 employees, NL: 6-11 employees | 33 |
| 15 | 15 employees, NL: > 11 employees | 66 |
| 97 | US: 97 employees or more | 2 |
| 9995 | 9995 employees or more | 0 |
| 0 | NAP (code 1, 2, 4, 0 in EMPREL) | 57718 |
| 9998 | Don't know | 5 |
| 9999 | No answer | 1789 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2242 | 59512 | 1 | 1000 |
Valid range from 1 to 9995
WRKSUP Supervise other employees
| Value 144277 | Frequency | |
|---|---|---|
| 1 | Yes | 12795 |
| 2 | No | 37918 |
| 0 | NAP (code 3 (US:2,3) in WORK; SK: 3,0; AR,BG: 2,3,0; IE,VE: | 8843 |
| 8 | Don't know | 81 |
| 9 | No answer | 2117 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50713 | 11041 | 1 | 2 |
Valid range from 1 to 2
NSUP Number of other employees supervised
| Value 145276 | Frequency | |
|---|---|---|
| 1 | 1 employee | 1070 |
| 4 | 4 employees, NL: 2-5 employees | 1074 |
| 9 | 9 employees, NL: 6-11 employees | 210 |
| 15 | 15 employees, NL: > 11 employees | 506 |
| 100 | ES: 100 and more | 116 |
| 9995 | 9995 employees or more | 26 |
| 0 | NAP (code 2, 0 in WRKSUP); not available: DK,US | 47577 |
| 9998 | Don't know | 80 |
| 9999 | No answer | 2613 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 11484 | 50270 | 1 | 9995 |
Valid range from 1 to 9995
TYPORG1 Type of organisation, for-profit/ non-profit
| Value 146275 | Frequency | |
|---|---|---|
| 1 | For-profit organisation | 32158 |
| 2 | Non-profit organisation | 13500 |
| 0 | NAP (Code 3 in WORK); not available: AT,BG,DK,US | 12554 |
| 8 | Don't know | 953 |
| 9 | No answer | 2589 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45658 | 16096 | 1 | 2 |
Valid range from 1 to 2
TYPORG2 Type of organisation, public/ private
| Value 147274 | Frequency | |
|---|---|---|
| 1 | Public employer | 16663 |
| 2 | Private employer | 34078 |
| 0 | NAP (Code 3 in WORK) | 7884 |
| 8 | Don't know | 587 |
| 9 | No answer | 2542 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50741 | 11013 | 1 | 2 |
Valid range from 1 to 2
ISCO88 Occupation ISCO/ ILO 1988
| Value 148273 | Frequency | |
|---|---|---|
| 110 | Armed forces | 247 |
| 1000 | Legislators, senior officials and managers | 56 |
| 1100 | Legislators and senior officials | 2 |
| 1110 | Legislators | 28 |
| 1120 | Senior government officials | 77 |
| 1130 | Traditional chiefs and heads of villages | 79 |
| 1140 | Senior officials of special-interest organizations | 52 |
| 1141 | Senior officials of political-party organizations | 11 |
| 1142 | Senior officials of employers', workers' and other economic- | 21 |
| 1143 | Senior officials of humanitarian and other special-interest | 12 |
| 1200 | Corporate managers | 22 |
| 1210 | Directors and chief executives | 309 |
| 1220 | Production and operations department managers | 198 |
| 1221 | Production and operations department managers in agriculture | 38 |
| 1222 | Production and operations department managers in manufacturi | 186 |
| 1223 | Production and operations department managers in constructio | 49 |
| 1224 | Production and operations department managers in wholesale a | 71 |
| 1225 | Production and operations department managers in restaurants | 54 |
| 1226 | Production and operations department managers in transport, | 68 |
| 1227 | Production and operations department managers in business se | 67 |
| 1228 | Production and operations department managers in personal ca | 44 |
| 1229 | Production and operations department managers not elsewhere | 176 |
| 1230 | Other department managers | 139 |
| 1231 | Finance and administration department managers | 199 |
| 1232 | Personnel and industrial relations department managers | 92 |
| 1233 | Sales and marketing department managers | 193 |
| 1234 | Advertising and public relations department managers | 35 |
| 1235 | Supply and distribution department managers | 42 |
| 1236 | Computing services department managers | 40 |
| 1237 | Research and development department managers | 38 |
| 1239 | Other department managers not elsewhere classified | 94 |
| 1300 | General managers | 129 |
| 1310 | General managers | 139 |
| 1311 | General managers in agriculture, hunting, forestry/ and fish | 24 |
| 1312 | General managers in manufacturing | 114 |
| 1313 | General managers in construction | 116 |
| 1314 | General managers in wholesale and retail trade | 416 |
| 1315 | General managers of restaurants and hotels | 202 |
| 1316 | General managers in transport, storage and communications | 42 |
| 1317 | General managers of business services | 56 |
| 1318 | General managers in personal care, cleaning and related serv | 54 |
| 1319 | General managers not elsewhere classified | 341 |
| 2000 | Professionals | 77 |
| 2100 | Physical, mathematical and engineering science professionals | 45 |
| 2110 | Physicists, chemists and related professionals | 5 |
| 2111 | Physicists and astronomers | 5 |
| 2112 | Meteorologists | 3 |
| 2113 | Chemists | 21 |
| 2114 | Geologists and geophysicists | 15 |
| 2120 | Mathematicians, statisticians and related professionals | 2 |
| 2121 | Mathematicians and related professionals | 4 |
| 2122 | Statisticians | 10 |
| 2130 | Computing professionals | 81 |
| 2131 | Computer systems designers and analysts | 191 |
| 2132 | Computer programmers | 77 |
| 2139 | Computing professionals not elsewhere classified | 52 |
| 2140 | Architects, engineers and related professionals | 140 |
| 2141 | Architects, town and traffic planners | 112 |
| 2142 | Civil engineers | 127 |
| 2143 | Electrical engineers | 51 |
| 2144 | Electronics and telecommunications engineers | 56 |
| 2145 | Mechanical engineers | 86 |
| 2146 | Chemical engineers | 43 |
| 2147 | Mining engineers, metallurgists and related professionals | 15 |
| 2148 | Cartographers and surveyors | 25 |
| 2149 | Architects, engineers and related professionals not elsewher | 94 |
| 2200 | Life science and health professionals | 15 |
| 2210 | Life science professionals | 8 |
| 2211 | Biologists, botanists, zoologists and related professionals | 40 |
| 2212 | Pharmacologists, pathologists and related professionals | 29 |
| 2213 | Agronomists and related professionals | 31 |
| 2220 | Health professionals (except nursing) | 60 |
| 2221 | Medical doctors | 292 |
| 2222 | Dentists | 51 |
| 2223 | Veterinarians | 44 |
| 2224 | Pharmacists | 69 |
| 2229 | Health professionals (except nursing) not elsewhere classifi | 56 |
| 2230 | Nursing and midwifery professionals | 387 |
| 2300 | Teaching professionals | 235 |
| 2310 | College, university and higher education teaching profession | 255 |
| 2320 | Secondary education teaching professionals | 760 |
| 2330 | Primary and pre-primary education teaching professionals | 46 |
| 2331 | Primary education teaching professionals | 592 |
| 2332 | Pre-primary education teaching professionals | 183 |
| 2340 | Special education teaching professionals | 94 |
| 2350 | Other teaching professionals | 64 |
| 2351 | Education methods specialists | 11 |
| 2352 | School inspectors | 16 |
| 2359 | Other teaching professionals not elsewhere classified | 116 |
| 2400 | Other professionals | 43 |
| 2410 | Business professionals | 103 |
| 2411 | Accountants | 310 |
| 2412 | Personnel and careers professionals | 65 |
| 2419 | Business professionals not elsewhere classified | 299 |
| 2420 | Legal professionals | 20 |
| 2421 | Lawyers | 122 |
| 2422 | Judges | 12 |
| 2429 | Legal professionals not elsewhere classified | 86 |
| 2430 | Archivists, librarians and related information professionals | 8 |
| 2431 | Archivists and curators | 19 |
| 2432 | Librarians and related information professionals | 54 |
| 2440 | Social science and related professionals | 47 |
| 2441 | Economists | 132 |
| 2442 | Sociologists, anthropologists and related professionals | 12 |
| 2443 | Philosophers, historians and political scientists | 8 |
| 2444 | Philologists, translators and interpreters | 34 |
| 2445 | Psychologists | 76 |
| 2446 | Social work professionals | 131 |
| 2450 | Writers and creative or performing artists | 24 |
| 2451 | Authors, journalists and other writers | 97 |
| 2452 | Sculptors, painters and related artists | 47 |
| 2453 | Composers, musicians and singers | 43 |
| 2454 | Choreographers and dancers | 1 |
| 2455 | Film, stage and related actors and directors | 42 |
| 2460 | Religious professionals | 59 |
| 2470 | Public service administrative professions (ISCO_COM) | 56 |
| 3000 | Technicians and associate professionals | 125 |
| 3100 | Physical and engineering science associate professionals | 25 |
| 3110 | Physical and engineering science technicians | 93 |
| 3111 | Chemical and physical science technicians | 38 |
| 3112 | Civil engineering technicians | 97 |
| 3113 | Electrical engineering technicians | 52 |
| 3114 | Electronics and telecommunications engineering technicians | 91 |
| 3115 | Mechanical engineering technicians | 91 |
| 3116 | Chemical engineering technicians | 34 |
| 3117 | Mining and metallurgical technicians | 12 |
| 3118 | Draughtspersons | 51 |
| 3119 | Physical and engineering science technicians not elsewhere c | 92 |
| 3120 | Computer associate professionals | 88 |
| 3121 | Computer assistants | 69 |
| 3122 | Computer equipment operators | 48 |
| 3123 | Industrial robot controllers | 7 |
| 3130 | Optical and electronic equipment operators | 6 |
| 3131 | Photographers and image and sound recording equipment operat | 47 |
| 3132 | Broadcasting and telecommunications equipment operators | 34 |
| 3133 | Medical equipment operators | 23 |
| 3139 | Optical and electronic equipment operators not elsewhere cla | 6 |
| 3140 | Ship and aircraft controllers and technicians | 1 |
| 3141 | Ships' engineers | 23 |
| 3142 | Ships' deck officers and pilots | 17 |
| 3143 | Aircraft pilots and related associate professionals | 12 |
| 3144 | Air traffic controllers | 9 |
| 3145 | Air traffic safety technicians | 5 |
| 3150 | Safety and quality inspectors | 28 |
| 3151 | Building and fire inspectors | 25 |
| 3152 | Safety, health and quality inspectors | 196 |
| 3200 | Life science and health associate professionals | 2 |
| 3210 | Life science technicians and related associate professionals | 19 |
| 3211 | Life science technicians | 93 |
| 3212 | Agronomy and forestry technicians | 35 |
| 3213 | Farming and forestry advisers | 12 |
| 3220 | Modern health associate professionals (except nursing) | 72 |
| 3221 | Medical assistants | 100 |
| 3222 | Sanitarians | 13 |
| 3223 | Dieticians and nutritionists | 22 |
| 3224 | Optometrists and opticians | 17 |
| 3225 | Dental assistants | 51 |
| 3226 | Physiotherapists and related associate professionals | 102 |
| 3227 | Veterinary assistants | 13 |
| 3228 | Pharmaceutical assistants | 34 |
| 3229 | Modern health associate professionals (except nursing) not e | 78 |
| 3230 | Nursing and midwifery associate professionals | 84 |
| 3231 | Nursing associate professionals | 496 |
| 3232 | Midwifery associate professionals | 17 |
| 3240 | Traditional medicine practitioners and faith healers | 1 |
| 3241 | Traditional medicine practitioners | 5 |
| 3242 | Faith healers | 0 |
| 3300 | Teaching associate professionals | 48 |
| 3310 | Primary education teaching associate professionals | 264 |
| 3320 | Pre-primary education teaching associate professionals | 189 |
| 3330 | Special education teaching associate professionals | 42 |
| 3340 | Other teaching associate professionals | 184 |
| 3400 | Other associate professionals | 82 |
| 3410 | Finance and sales associate professionals | 182 |
| 3411 | Securities and finance dealers and brokers | 58 |
| 3412 | Insurance representatives | 168 |
| 3413 | Estate agents | 124 |
| 3414 | Travel consultants and organizers | 20 |
| 3415 | Technical and commercial sales representatives | 423 |
| 3416 | Buyers | 133 |
| 3417 | Appraisers, valuers and auctioneers | 21 |
| 3419 | Finance and sales associate professionals not elsewhere clas | 191 |
| 3420 | Business services agents and trade brokers | 25 |
| 3421 | Trade brokers | 70 |
| 3422 | Clearing and forwarding agents | 30 |
| 3423 | Employment agents and labour contractors | 54 |
| 3429 | Business services agents and trade brokers not elsewhere cla | 78 |
| 3430 | Administrative associate professionals | 247 |
| 3431 | Administrative secretaries and related associate professiona | 279 |
| 3432 | Legal and related business associate professionals | 207 |
| 3433 | Bookkeepers | 480 |
| 3434 | Statistical, mathematical and related associate professional | 31 |
| 3439 | Administrative associate professionals not elsewhere classif | 164 |
| 3440 | Customs, tax and related government associate professionals | 89 |
| 3441 | Customs and border inspectors | 35 |
| 3442 | Government tax and excise officials | 41 |
| 3443 | Government social benefits officials | 35 |
| 3444 | Government licensing officials | 16 |
| 3449 | Customs, tax and related government associate professionals | 45 |
| 3450 | Police inspectors and detectives | 66 |
| 3460 | Social work associate professionals | 174 |
| 3470 | Artistic, entertainment and sports associate professionals | 34 |
| 3471 | Decorators and commercial designers | 166 |
| 3472 | Radio, television and other announcers | 13 |
| 3473 | Street, night-club and related musicians, singers and dancer | 14 |
| 3474 | Clowns, magicians, acrobats and related associate profession | 5 |
| 3475 | Athletes, sportspersons and related associate professionals | 65 |
| 3480 | Religious associate professionals | 12 |
| 4000 | Clerks | 132 |
| 4100 | Office clerks | 412 |
| 4110 | Secretaries and keyboard-operating clerks | 212 |
| 4111 | Stenographers and typists | 83 |
| 4112 | Word-processor and related operators | 48 |
| 4113 | Data entry operators | 70 |
| 4114 | Calculating-machine operators | 25 |
| 4115 | Secretaries | 571 |
| 4120 | Numerical clerks | 141 |
| 4121 | Accounting and bookkeeping clerks | 480 |
| 4122 | Statistical and finance clerks | 114 |
| 4130 | Material-recording and transport clerks | 79 |
| 4131 | Stock clerks | 355 |
| 4132 | Production clerks | 142 |
| 4133 | Transport clerks | 100 |
| 4140 | Library, mail and related clerks | 30 |
| 4141 | Library and filing clerks | 81 |
| 4142 | Mail carriers and sorting clerks | 171 |
| 4143 | Coding, proof-reading and related clerks | 3 |
| 4144 | Scribes and related workers | 4 |
| 4190 | Other office clerks | 721 |
| 4200 | Customer services clerks | 18 |
| 4210 | Cashiers, tellers and related clerks | 95 |
| 4211 | Cashiers and ticket clerks | 309 |
| 4212 | Tellers and other counter clerks | 141 |
| 4213 | Bookmakers and croupiers | 9 |
| 4214 | Pawnbrokers and money-lenders | 5 |
| 4215 | Debt-collectors and related workers | 35 |
| 4220 | Client information clerks | 75 |
| 4221 | Travel agency and related clerks | 26 |
| 4222 | Receptionists and information clerks | 238 |
| 4223 | Telephone switchboard operators | 105 |
| 5000 | Service workers and shop and market sales workers | 237 |
| 5100 | Personal and protective services workers | 56 |
| 5110 | Travel attendants and related workers | 8 |
| 5111 | Travel attendants and travel stewards | 44 |
| 5112 | Transport conductors | 47 |
| 5113 | Travel guides | 34 |
| 5120 | Housekeeping and restaurant service workers | 142 |
| 5121 | Housekeepers and related workers | 94 |
| 5122 | Cooks | 703 |
| 5123 | Waiters, waitresses and bartenders | 680 |
| 5130 | Personal care and related workers | 291 |
| 5131 | Child-care workers | 488 |
| 5132 | Institution-based personal care workers | 460 |
| 5133 | Home-based personal care workers | 254 |
| 5139 | Personal care and related workers not elsewhere classified | 66 |
| 5140 | Other personal services workers | 80 |
| 5141 | Hairdressers, barbers, beauticians and related workers | 375 |
| 5142 | Companions and valets | 6 |
| 5143 | Undertakers and embalmers | 18 |
| 5149 | Other personal services workers not elsewhere classified | 76 |
| 5150 | Astrologers, fortune-tellers and related workers | 1 |
| 5151 | Astrologers and related workers | 3 |
| 5152 | Fortune-tellers, palmists and related workers | 1 |
| 5160 | Protective services workers | 33 |
| 5161 | Fire-fighters | 65 |
| 5162 | Police officers | 199 |
| 5163 | Prison guards | 32 |
| 5169 | Protective services workers not elsewhere classified | 248 |
| 5200 | Models, salespersons and demonstrators | 17 |
| 5210 | Fashion and other models | 5 |
| 5220 | Shop salespersons and demonstrators | 2734 |
| 5230 | Stall and market salespersons | 476 |
| 6000 | Skilled agricultural and fishery workers | 81 |
| 6100 | Market-oriented skilled agricultural and fishery workers | 46 |
| 6110 | Market gardeners and crop growers | 62 |
| 6111 | Field crop and vegetable growers | 505 |
| 6112 | Tree and shrub crop growers | 162 |
| 6113 | Gardeners, horticultural and nursery growers | 128 |
| 6114 | Mixed-crop growers | 85 |
| 6120 | Market-oriented animal producers and related workers | 25 |
| 6121 | Dairy and livestock producers | 169 |
| 6122 | Poultry producers | 16 |
| 6123 | Apiarists and sericulturists | 6 |
| 6124 | Mixed-animal producers | 15 |
| 6129 | Market-oriented animal producers and related workers not els | 19 |
| 6130 | Market-oriented crop and animal producers | 250 |
| 6140 | Forestry and related workers | 9 |
| 6141 | Forestry workers and loggers | 50 |
| 6142 | Charcoal burners and related workers | 1 |
| 6150 | Fishery workers, hunters and trappers | 27 |
| 6151 | Aquatic-life cultivation workers | 8 |
| 6152 | Inland and coastal waters fishery workers | 25 |
| 6153 | Deep-sea fishery workers | 27 |
| 6154 | Hunters and trappers | 3 |
| 6200 | Subsistence agricultural and fishery workers | 0 |
| 6210 | Subsistence agricultural and fishery workers | 29 |
| 7000 | Craft and related trades workers | 94 |
| 7100 | Extraction and building trades workers | 26 |
| 7110 | Miners, shotfirers, stone cutters and carvers | 4 |
| 7111 | Miners and quarry workers | 87 |
| 7112 | Shotfirers and blasters | 7 |
| 7113 | Stone splitters, cutters and carvers | 16 |
| 7120 | Building frame and related trades workers | 115 |
| 7121 | Builders, traditional materials | 144 |
| 7122 | Bricklayers and stonemasons | 360 |
| 7123 | Concrete placers, concrete finishers and related workers | 64 |
| 7124 | Carpenters and joiners | 267 |
| 7129 | Building frame and related trades workers not elsewhere clas | 141 |
| 7130 | Building finishers and related trades workers | 52 |
| 7131 | Roofers | 130 |
| 7132 | Floor layers and tile setters | 61 |
| 7133 | Plasterers | 36 |
| 7134 | Insulation workers | 14 |
| 7135 | Glaziers | 13 |
| 7136 | Plumbers and pipe fitters | 186 |
| 7137 | Building and related electricians | 241 |
| 7140 | Painters, building structure cleaners and related trades wor | 21 |
| 7141 | Painters and related workers | 175 |
| 7142 | Varnishers and related painters | 27 |
| 7143 | Building structure cleaners | 16 |
| 7200 | Metal, machinery and related trades workers | 54 |
| 7210 | Metal moulders, welders, sheet-metal workers, structural-met | 50 |
| 7211 | Metal moulders and coremakers | 17 |
| 7212 | Welders and flamecutters | 214 |
| 7213 | Sheet metal workers | 69 |
| 7214 | Structural-metal preparers and erectors | 52 |
| 7215 | Riggers and cable splicers | 6 |
| 7216 | Underwater workers | 3 |
| 7220 | Blacksmiths, tool-makers and related trades workers | 27 |
| 7221 | Blacksmiths, hammer-smiths and forging-press workers | 45 |
| 7222 | Tool-makers and related workers | 184 |
| 7223 | Machine-tool setters and setter-operators | 116 |
| 7224 | Metal wheel-grinders, polishers and tool sharpeners | 34 |
| 7230 | Machinery mechanics and fitters | 142 |
| 7231 | Motor vehicle mechanics and fitters | 380 |
| 7232 | Aircraft engine mechanics and fitters | 18 |
| 7233 | Agricultural- or industrial-machinery mechanics and fitters | 177 |
| 7240 | Electrical and electronic equipment mechanics and fitters | 77 |
| 7241 | Electrical mechanics and fitters | 177 |
| 7242 | Electronics fitters | 36 |
| 7243 | Electronics mechanics and servicers | 51 |
| 7244 | Telegraph and telephone installers and servicers | 36 |
| 7245 | Electrical line installers, repairers and cable jointers | 87 |
| 7300 | Precision, handicraft, printing and related trades workers | 25 |
| 7310 | Precision workers in metal and related materials | 7 |
| 7311 | Precision-instrument makers and repairers | 43 |
| 7312 | Musical instrument makers and tuners | 2 |
| 7313 | Jewellery and precious-metal workers | 26 |
| 7320 | Potters, glass-makers and related trades workers | 7 |
| 7321 | Abrasive wheel formers, potters and related workers | 13 |
| 7322 | Glass makers, cutters, grinders and finishers | 13 |
| 7323 | Glass engravers and etchers | 1 |
| 7324 | Glass, ceramics and related decorative painters | 10 |
| 7330 | Handicraft workers in wood, textile, leather and related mat | 11 |
| 7331 | Handicraft workers in wood and related materials | 28 |
| 7332 | Handicraft workers in textile, leather and related materials | 26 |
| 7340 | Printing and related trades workers | 24 |
| 7341 | Compositors, typesetters and related workers | 22 |
| 7342 | Stereotypers and electrotypers | 4 |
| 7343 | Printing engravers and etchers | 9 |
| 7344 | Photographic and related workers | 10 |
| 7345 | Bookbinders and related workers | 24 |
| 7346 | Silk-screen, block and textile printers | 9 |
| 7400 | Other craft and related trades workers | 21 |
| 7410 | Food processing and related trades workers | 53 |
| 7411 | Butchers, fishmongers and related food preparers | 128 |
| 7412 | Bakers, pastry-cooks and confectionery makers | 190 |
| 7413 | Dairy-products makers | 11 |
| 7414 | Fruit, vegetable and related preservers | 16 |
| 7415 | Food and beverage tasters and graders | 7 |
| 7416 | Tobacco preparers and tobacco products makers | 6 |
| 7420 | Wood treaters, cabinet-makers and related trades workers | 38 |
| 7421 | Wood treaters | 32 |
| 7422 | Cabinet makers and related workers | 115 |
| 7423 | Woodworking machine setters and setter-operators | 14 |
| 7424 | Basketry weavers, brush makers and related workers | 11 |
| 7430 | Textile, garment and related trades workers | 83 |
| 7431 | Fibre preparers | 8 |
| 7432 | Weavers, knitters and related workers | 47 |
| 7433 | Tailors, dressmakers and hatters | 202 |
| 7434 | Furriers and related workers | 3 |
| 7435 | Textile, leather and related pattern-makers and cutters | 36 |
| 7436 | Sewers, embroiderers and related workers | 166 |
| 7437 | Upholsterers and related workers | 32 |
| 7440 | Pelt, leather and shoemaking trades workers | 3 |
| 7441 | Pelt dressers, tanners and fellmongers | 13 |
| 7442 | Shoe-makers and related workers | 58 |
| 7500 | Metal worker general | 18 |
| 7510 | Metal worker n.e.c./ Non farm foremen n.e.c. | 43 |
| 7520 | Electronics engineers not elsewhere classified | 20 |
| 7900 | Master craftsman, supervisor | 24 |
| 8000 | Plant and machine operators and assemblers | 117 |
| 8100 | Stationary-plant and related operators | 102 |
| 8110 | Mining- and mineral-processing-plant operators | 3 |
| 8111 | Mining-plant operators | 18 |
| 8112 | Mineral-ore- and stone-processing-plant operators | 5 |
| 8113 | Well drillers and borers and related workers | 16 |
| 8120 | Metal-processing-plant operators | 10 |
| 8121 | Ore and metal furnace operators | 17 |
| 8122 | Metal melters, casters and rolling-mill operators | 15 |
| 8123 | Metal-heat-treating-plant operators | 11 |
| 8124 | Metal drawers and extruders | 7 |
| 8130 | Glass, ceramics and related plant operators | 1 |
| 8131 | Glass and ceramics kiln and related machine operators | 15 |
| 8139 | Glass, ceramics and related plant operators not elsewhere cl | 9 |
| 8140 | Wood-processing- and papermaking-plant-operators | 12 |
| 8141 | Wood-processing-plant operators | 58 |
| 8142 | Paper-pulp plant operators | 5 |
| 8143 | Papermaking-plant operators | 22 |
| 8150 | Chemical-processing-plant operators | 56 |
| 8151 | Crushing-, grinding- and chemical-mixing-machinery operators | 13 |
| 8152 | Chemical-heat-treating-plant operators | 5 |
| 8153 | Chemical-filtering- and separating-equipment operators | 0 |
| 8154 | Chemical-still and reactor operators (except petroleum and n | 2 |
| 8155 | Petroleum- and natural-gas-refining-plant operators | 7 |
| 8159 | Chemical-processing-plant operators not elsewhere classified | 13 |
| 8160 | Power-production and related plant operators | 10 |
| 8161 | Power-production plant operators | 13 |
| 8162 | Steam-engine and boiler operators | 49 |
| 8163 | Incinerator, water-treatment and related plant operators | 18 |
| 8170 | Automated-assembly-line and industrial-robot operators | 18 |
| 8171 | Automated-assembly-line operators | 53 |
| 8172 | Industrial-robot operators | 6 |
| 8200 | Machine-operators and assemblers | 49 |
| 8210 | Metal- and mineral-prodcuts machine operators | 35 |
| 8211 | Machine-tool operators | 159 |
| 8212 | Cement and other mineral products machine operators | 20 |
| 8220 | Chemical-products machine operators | 9 |
| 8221 | Pharmaceutical- and toiletry-products machine operators | 13 |
| 8222 | Ammunition- and explosive-products machine operators | 3 |
| 8223 | Metal finishing-, plating- and coating-machine operators | 30 |
| 8224 | Photographic-products machine operators | 2 |
| 8229 | Chemical-products machine operators not elsewhere classified | 10 |
| 8230 | Rubber- and plastic-products machine operators | 6 |
| 8231 | Rubber-products machine operators | 16 |
| 8232 | Plastic-products machine operators | 70 |
| 8240 | Wood-products machine operators | 25 |
| 8250 | Printing-, binding- and paper-products machine operators | 12 |
| 8251 | Printing-machine operators | 53 |
| 8252 | Bookbinding-machine operators | 3 |
| 8253 | Paper-products machine operators | 15 |
| 8260 | Textile-, fur and leather-products machine operators | 44 |
| 8261 | Fibre-preparing-, spinning- and winding-machine operators | 33 |
| 8262 | Weaving- and knitting-machine operators | 35 |
| 8263 | Sewing-machine operators | 138 |
| 8264 | Bleaching-, dyeing- and cleaning-machine operators | 46 |
| 8265 | Fur and leather-preparing-machine operators | 8 |
| 8266 | Shoemaking- and related machine operators | 34 |
| 8269 | Textile-, fur- and leather-products machine operators not el | 26 |
| 8270 | Food and related products machine operators | 43 |
| 8271 | Meat- and fish-processing-machine operators | 34 |
| 8272 | Dairy-products machine operators | 13 |
| 8273 | Grain- and spice-milling-machine operators | 8 |
| 8274 | Baked-goods, cereal and chocolate-products machine operators | 23 |
| 8275 | Fruit-, vegetable- and nut-processing-machine operators | 15 |
| 8276 | Sugar production machine operators | 0 |
| 8277 | Tea-, coffee-, and cocoa-processing-machine operators | 1 |
| 8278 | Brewers, wine and other beverage machine operators | 15 |
| 8279 | Tobacco production machine operators | 19 |
| 8280 | Assemblers | 37 |
| 8281 | Mechanical-machinery assemblers | 75 |
| 8282 | Electrical-equipment assemblers | 49 |
| 8283 | Electronic-equipment assemblers | 80 |
| 8284 | Metal-, rubber- and plastic-products assemblers | 37 |
| 8285 | Wood and related products assemblers | 9 |
| 8286 | Paperboard, textile and related products assemblers | 10 |
| 8290 | Other machine operators and assemblers | 132 |
| 8300 | Drivers and mobile-plant operators | 11 |
| 8310 | Locomotive-engine drivers and related workers | 27 |
| 8311 | Locomotive-engine drivers | 35 |
| 8312 | Railway brakers, signallers and shunters | 23 |
| 8320 | Motor-vehicle drivers | 163 |
| 8321 | Motor-cycle drivers | 35 |
| 8322 | Car, taxi and van drivers | 469 |
| 8323 | Bus and tram drivers | 225 |
| 8324 | Heavy-truck and lorry drivers | 474 |
| 8330 | Agricultural and other mobile-plant operators | 15 |
| 8331 | Motorised farm and forestry plant operators | 93 |
| 8332 | Earth-moving- and related plant operators | 102 |
| 8333 | Crane, hoist and related plant operators | 82 |
| 8334 | Lifting-truck operators | 58 |
| 8340 | Ships' deck crews and related workers | 35 |
| 9000 | Elementary occupations | 215 |
| 9100 | Sales and services elementary occupations | 47 |
| 9110 | Street vendors and related workers | 1 |
| 9111 | Street food vendors | 166 |
| 9112 | Street vendors, non-food products | 85 |
| 9113 | Door-to-door and telephone salespersons | 73 |
| 9120 | Shoe cleaning and other street services elementary occupatio | 4 |
| 9130 | Domestic and related helpers, cleaners and launderers | 237 |
| 9131 | Domestic helpers and cleaners | 672 |
| 9132 | Helpers and cleaners in offices, hotels and other establishm | 811 |
| 9133 | Hand-launderers and pressers | 80 |
| 9140 | Building caretakers, window and related cleaners | 78 |
| 9141 | Building caretakers | 219 |
| 9142 | Vehicle, window and related cleaners | 28 |
| 9150 | Messengers, porters, doorkeepers and related workers | 14 |
| 9151 | Messengers, package and luggage porters and deliverers | 189 |
| 9152 | Doorkeepers, watchpersons and related workers | 274 |
| 9153 | Vending-machine money collectors, meter readers and related | 15 |
| 9160 | Garbage collectors and related labourers | 10 |
| 9161 | Garbage collectors | 38 |
| 9162 | Sweepers and related labourers | 152 |
| 9200 | Agricultural, fishery and related labourers | 22 |
| 9210 | Agricultural, fishery and related labourers | 13 |
| 9211 | Farm-hands and labourers | 681 |
| 9212 | Forestry labourers | 46 |
| 9213 | Fishery, hunting and trapping labourers | 32 |
| 9300 | Labourers in mining, construction, manufacturing and transpo | 37 |
| 9310 | Mining and construction labourers | 38 |
| 9311 | Mining and quarrying labourers | 15 |
| 9312 | Construction and maintenance labourers: roads, dams and simi | 171 |
| 9313 | Building construction labourers | 236 |
| 9320 | Manufacturing labourers | 258 |
| 9321 | Assembling labourers | 78 |
| 9322 | Hand packers and other manufacturing labourers | 249 |
| 9330 | Transport labourers and freight handlers | 122 |
| 9331 | Hand or pedal vehicle drivers | 23 |
| 9332 | Drivers of animal-drawn vehicles and machinery | 1 |
| 9333 | Freight handlers | 274 |
| 0 | NAP (code 3 in WORK; DE: 0,9 in EMPREL); not available: ZA | 9537 |
| 9998 | Don't know, inadequately described | 606 |
| 9999 | No answer | 2620 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48991 | 12763 | 110 | 9333 |
Valid range from 110 to 9333
MAINSTAT Main status
| Value 149272 | Frequency | |
|---|---|---|
| 1 | In paid work | 33067 |
| 2 | Unemployed and looking for a job, HR: incl never had a job | 4129 |
| 3 | In education | 3341 |
| 4 | Apprentice or trainee | 274 |
| 5 | Permanently sick or disabled | 1556 |
| 6 | Retired | 11633 |
| 7 | Domestic work | 4819 |
| 8 | In compulsory military service or community service | 33 |
| 9 | Other | 2067 |
| 99 | No answer | 835 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 60919 | 835 | 1 | 9 |
Valid range from 1 to 9
PARTLIV Living in steady partnership
| Value 150271 | Frequency | |
|---|---|---|
| 1 | Yes, have partner; live in same household | 36037 |
| 2 | Yes, have partner; don't live in same household | 2775 |
| 3 | No partner | 18026 |
| 0 | Not available: DK,GB,TW | 4425 |
| 7 | Refused | 96 |
| 9 | No answer | 395 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 56838 | 4916 | 1 | 3 |
Valid range from 1 to 3
SPWORK Spouse, partner: currently, formerly or never in paid work
| Value 151270 | Frequency | |
|---|---|---|
| 1 | Currently in paid work | 23836 |
| 2 | Currently not in paid work, paid work in the past | 12161 |
| 3 | Never had paid work | 4525 |
| 0 | NAP (code 3,7 (AT: 2,3) in PARTLIV) (TW,US: 3-6,7 in MARITAL | 20120 |
| 8 | Don't know | 4 |
| 9 | No answer | 1108 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40522 | 21232 | 1 | 3 |
Valid range from 1 to 3
SPWRKHRS Spouse, partner: hours worked weekly
| Value 152269 | Frequency | |
|---|---|---|
| 1 | One hour | 10 |
| 96 | 96 hours or more | 221 |
| 0 | NAP (code 0,2,3 (AR,VE: 0,3) in SPWORK); not available: BG,G | 37110 |
| 97 | Refused; TW: time varies | 67 |
| 98 | Don't know | 726 |
| 99 | No answer | 1568 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 22283 | 39471 | 1 | 96 |
Valid range from 1 to 96
SPEMPREL Spouse, partner: employment relationship
| Value 153268 | Frequency | |
|---|---|---|
| 1 | Employee | 26395 |
| 2 | Self-employed without employees | 2993 |
| 3 | Self-employed with employees | 1648 |
| 4 | Working for own family's business | 1105 |
| 5 | GB: self-employed with or without employees | 48 |
| 0 | NAP (code 0,3 (GB,HU: 0,2,3) in SPWORK); not available: BG | 25578 |
| 8 | Don't know | 22 |
| 9 | No answer | 3965 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 32189 | 29565 | 1 | 5 |
Valid range from 1 to 5
SPWRKSUP Spouse, partner: supervise other employees
| Value 154267 | Frequency | |
|---|---|---|
| 1 | Yes | 7400 |
| 2 | No | 21568 |
| 0 | NAP (code 0,3 in SPWORK) (AR: 0,2,3 in SPEMPREL); not availa | 30521 |
| 8 | Don't know | 226 |
| 9 | No answer | 2039 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 28968 | 32786 | 1 | 2 |
Valid range from 1 to 2
SPISCO88 Spouse, partner: occupation ISCO/ ILO 1988
| Value 155266 | Frequency | |
|---|---|---|
| 110 | Armed forces | 180 |
| 1000 | Legislators, senior officials and managers | 38 |
| 1100 | Legislators and senior officials | 2 |
| 1110 | Legislators | 16 |
| 1120 | Senior government officials | 53 |
| 1130 | Traditional chiefs and heads of villages | 31 |
| 1140 | Senior officials of special-interest organizations | 3 |
| 1141 | Senior officials of political-party organizations | 6 |
| 1142 | Senior officials of employers', workers' and other economic- | 4 |
| 1143 | Senior officials of humanitarian and other special-interest | 1 |
| 1200 | Corporate managers | 26 |
| 1210 | Directors and chief executives | 193 |
| 1220 | Production and operations department managers | 125 |
| 1221 | Production and operations department managers in agriculture | 20 |
| 1222 | Production and operations department managers in manufacturi | 128 |
| 1223 | Production and operations department managers in constructio | 30 |
| 1224 | Production and operations department managers in wholesale a | 45 |
| 1225 | Production and operations department managers in restaurants | 21 |
| 1226 | Production and operations department managers in transport, | 27 |
| 1227 | Production and operations department managers in business se | 29 |
| 1228 | Production and operations department managers in personal ca | 31 |
| 1229 | Production and operations department managers not elsewhere | 89 |
| 1230 | Other department managers | 88 |
| 1231 | Finance and administration department managers | 87 |
| 1232 | Personnel and industrial relations department managers | 50 |
| 1233 | Sales and marketing department managers | 99 |
| 1234 | Advertising and public relations department managers | 25 |
| 1235 | Supply and distribution department managers | 24 |
| 1236 | Computing services department managers | 15 |
| 1237 | Research and development department managers | 28 |
| 1239 | Other department managers not elsewhere classified | 71 |
| 1300 | General managers | 112 |
| 1310 | General managers | 127 |
| 1311 | General managers in agriculture, hunting, forestry/ and fish | 18 |
| 1312 | General managers in manufacturing | 54 |
| 1313 | General managers in construction | 100 |
| 1314 | General managers in wholesale and retail trade | 223 |
| 1315 | General managers of restaurants and hotels | 101 |
| 1316 | General managers in transport, storage and communications | 31 |
| 1317 | General managers of business services | 42 |
| 1318 | General managers in personal care, cleaning and related serv | 45 |
| 1319 | General managers not elsewhere classified | 271 |
| 2000 | Professionals | 38 |
| 2100 | Physical, mathematical and engineering science professionals | 30 |
| 2110 | Physicists, chemists and related professionals | 11 |
| 2111 | Physicists and astronomers | 1 |
| 2112 | Meteorologists | 1 |
| 2113 | Chemists | 18 |
| 2114 | Geologists and geophysicists | 11 |
| 2120 | Mathematicians, statisticians and related professionals | 2 |
| 2121 | Mathematicians and related professionals | 5 |
| 2122 | Statisticians | 3 |
| 2130 | Computing professionals | 82 |
| 2131 | Computer systems designers and analysts | 131 |
| 2132 | Computer programmers | 57 |
| 2139 | Computing professionals not elsewhere classified | 46 |
| 2140 | Architects, engineer and related professionals | 85 |
| 2141 | Architects, town and traffic planners | 73 |
| 2142 | Civil engineers | 136 |
| 2143 | Electrical engineers | 46 |
| 2144 | Electronics and telecommunications engineers | 44 |
| 2145 | Mechanical engineers | 69 |
| 2146 | Chemical engineers | 14 |
| 2147 | Mining engineers, metallurgists and related professionals | 11 |
| 2148 | Cartographers and surveyors | 18 |
| 2149 | Architects, engineers and related professionals not elsewher | 86 |
| 2200 | Life science and health professionals | 6 |
| 2210 | Life science professionals | 2 |
| 2211 | Biologists, botanists, zoologists and related professionals | 31 |
| 2212 | Pharmacologists, pathologists and related professionals | 23 |
| 2213 | Agronomists and related professionals | 10 |
| 2220 | Health professionals (except nursing) | 31 |
| 2221 | Medical doctors | 232 |
| 2222 | Dentists | 44 |
| 2223 | Veterinarians | 19 |
| 2224 | Pharmacists | 42 |
| 2229 | Health professionals (except nursing) not elsewhere classifi | 28 |
| 2230 | Nursing and midwifery professionals | 220 |
| 2300 | Teaching professionals | 179 |
| 2310 | College, university and higher education teaching profession | 173 |
| 2320 | Secondary education teaching professionals | 416 |
| 2330 | Primary and pre-primary education teaching professionals | 33 |
| 2331 | Primary education teaching professionals | 352 |
| 2332 | Pre-primary education teaching professionals | 120 |
| 2340 | Special education teaching professionals | 51 |
| 2350 | Other teaching professionals | 28 |
| 2351 | Education methods specialists | 7 |
| 2352 | School inspectors | 9 |
| 2359 | Other teaching professionals not elsewhere classified | 67 |
| 2400 | Other professionals | 21 |
| 2410 | Business professionals | 73 |
| 2411 | Accountants | 204 |
| 2412 | Personnel and careers professionals | 45 |
| 2419 | Business professionals not elsewhere classified | 167 |
| 2420 | Legal professionals | 13 |
| 2421 | Lawyers | 99 |
| 2422 | Judges | 8 |
| 2429 | Legal professionals not elsewhere classified | 44 |
| 2430 | Archivists, librarians and related information professionals | 6 |
| 2431 | Archivists and curators | 10 |
| 2432 | Librarians and related information professionals | 29 |
| 2440 | Social science and related professionals | 25 |
| 2441 | Economists | 86 |
| 2442 | Sociologists, anthropologists and related professionals | 11 |
| 2443 | Philosophers, historians and political scientists | 4 |
| 2444 | Philologists, translators and interpreters | 14 |
| 2445 | Psychologists | 38 |
| 2446 | Social work professionals | 90 |
| 2450 | Writers and creative or performing artists | 23 |
| 2451 | Authors, journalists and other writers | 61 |
| 2452 | Sculptors, painters and related artists | 35 |
| 2453 | Composers, musicians and singers | 21 |
| 2454 | Choreographers and dancers | 3 |
| 2455 | Film, stage and related actors and directors | 19 |
| 2460 | Religious professionals | 39 |
| 2470 | Public service administrative professions (ISCO_COM) | 30 |
| 3000 | Technicians and associate professionals | 133 |
| 3100 | Physical and engineering science associate professionals | 22 |
| 3110 | Physical and engineering science technicians | 105 |
| 3111 | Chemical and physical science technicians | 30 |
| 3112 | Civil engineering technicians | 88 |
| 3113 | Electrical engineering technicians | 48 |
| 3114 | Electronics and telecommunications engineering technicians | 63 |
| 3115 | Mechanical engineering technicians | 66 |
| 3116 | Chemical engineering technicians | 30 |
| 3117 | Mining and metallurgical technicians | 4 |
| 3118 | Draughtspersons | 42 |
| 3119 | Physical and engineering science technicians not elsewhere c | 85 |
| 3120 | Computer associate professionals | 55 |
| 3121 | Computer assistants | 52 |
| 3122 | Computer equipment operators | 17 |
| 3123 | Industrial robot controllers | 4 |
| 3130 | Optical and electronic equipment operators | 5 |
| 3131 | Photographers and image and sound recording equipment operat | 36 |
| 3132 | Broadcasting and telecommunications equipment operators | 12 |
| 3133 | Medical equipment operators | 14 |
| 3139 | Optical and electronic equipment operators not elsewhere cla | 4 |
| 3140 | Ship and aircraft controllers and technicians | 7 |
| 3141 | Ships' engineers | 10 |
| 3142 | Ships' deck officers and pilots | 14 |
| 3143 | Aircraft pilots and related associate professionals | 12 |
| 3144 | Air traffic controllers | 2 |
| 3145 | Air traffic safety technicians | 2 |
| 3150 | Safety and quality inspectors | 12 |
| 3151 | Building and fire inspectors | 16 |
| 3152 | Safety, health and quality inspectors | 94 |
| 3200 | Life science and health associate professionals | 12 |
| 3210 | Life science technicians and related associate professionals | 8 |
| 3211 | Life science technicians | 42 |
| 3212 | Agronomy and forestry technicians | 12 |
| 3213 | Farming and forestry advisers | 8 |
| 3220 | Modern health associate professionals (except nursing) | 27 |
| 3221 | Medical assistants | 54 |
| 3222 | Sanitarians | 4 |
| 3223 | Dieticians and nutritionists | 14 |
| 3224 | Optometrists and opticians | 12 |
| 3225 | Dental assistants | 30 |
| 3226 | Physiotherapists and related associate professionals | 58 |
| 3227 | Veterinary assistants | 8 |
| 3228 | Pharmaceutical assistants | 23 |
| 3229 | Modern health associate professionals (except nursing) not e | 44 |
| 3230 | Nursing and midwifery associate professionals | 47 |
| 3231 | Nursing associate professionals | 299 |
| 3232 | Midwifery associate professionals | 14 |
| 3240 | Traditional medicine practitioners and faith healers | 0 |
| 3241 | Traditional medicine practitioners | 5 |
| 3242 | Faith healers | 0 |
| 3300 | Teaching associate professionals | 23 |
| 3310 | Primary education teaching associate professionals | 143 |
| 3320 | Pre-primary education teaching associate professionals | 123 |
| 3330 | Special education teaching associate professionals | 20 |
| 3340 | Other teaching associate professionals | 110 |
| 3400 | Other associate professionals | 29 |
| 3410 | Finance and sales associate professionals | 99 |
| 3411 | Securities and finance dealers and brokers | 40 |
| 3412 | Insurance representatives | 118 |
| 3413 | Estate agents | 81 |
| 3414 | Travel consultants and organizers | 12 |
| 3415 | Technical and commercial sales representatives | 335 |
| 3416 | Buyers | 65 |
| 3417 | Appraisers, valuers and auctioneers | 12 |
| 3419 | Finance and sales associate professionals not elsewhere clas | 98 |
| 3420 | Business services agents and trade brokers | 18 |
| 3421 | Trade brokers | 67 |
| 3422 | Clearing and forwarding agents | 22 |
| 3423 | Employment agents and labour contractors | 24 |
| 3429 | Business services agents and trade brokers not elsewhere cla | 92 |
| 3430 | Administrative associate professionals | 101 |
| 3431 | Administrative secretaries and related associate professiona | 133 |
| 3432 | Legal and related business associate professionals | 144 |
| 3433 | Bookkeepers | 271 |
| 3434 | Statistical, mathematical and related associate professional | 11 |
| 3439 | Administrative associate professionals not elsewhere classif | 90 |
| 3440 | Customs, tax and related government associate professionals | 66 |
| 3441 | Customs and border inspectors | 15 |
| 3442 | Government tax and excise officials | 24 |
| 3443 | Government social benefits officials | 18 |
| 3444 | Government licensing officials | 15 |
| 3449 | Customs, tax and related government associate professionals | 21 |
| 3450 | Police inspectors and detectives | 49 |
| 3460 | Social work associate professionals | 74 |
| 3470 | Artistic, entertainment and sports associate professionals | 16 |
| 3471 | Decorators and commercial designers | 97 |
| 3472 | Radio, television and other announcers | 0 |
| 3473 | Street, night-club and related musicians, singers and dancer | 16 |
| 3474 | Clowns, magicians, acrobats and related associate profession | 1 |
| 3475 | Athletes, sportspersons and related associate professionals | 42 |
| 3480 | Religious associate professionals | 9 |
| 4000 | Clerks | 81 |
| 4100 | Office clerks | 314 |
| 4110 | Secretaries and keyboard-operating clerks | 158 |
| 4111 | Stenographers and typists | 39 |
| 4112 | Word-processor and related operators | 39 |
| 4113 | Data entry operators | 35 |
| 4114 | Calculating-machine operators | 29 |
| 4115 | Secretaries | 318 |
| 4120 | Numerical clerks | 73 |
| 4121 | Accounting and bookkeeping clerks | 286 |
| 4122 | Statistical and finance clerks | 62 |
| 4130 | Material-recording and transport clerks | 41 |
| 4131 | Stock clerks | 219 |
| 4132 | Production clerks | 82 |
| 4133 | Transport clerks | 56 |
| 4140 | Library, mail and related clerks | 20 |
| 4141 | Library and filing clerks | 29 |
| 4142 | Mail carriers and sorting clerks | 101 |
| 4143 | Coding, proof-reading and related clerks | 1 |
| 4144 | Scribes and related workers | 8 |
| 4190 | Other office clerks | 442 |
| 4200 | Customer services clerks | 18 |
| 4210 | Cashiers, tellers and related clerks | 33 |
| 4211 | Cashiers and ticket clerks | 152 |
| 4212 | Tellers and other counter clerks | 78 |
| 4213 | Bookmakers and croupiers | 13 |
| 4214 | Pawnbrokers and money-lenders | 1 |
| 4215 | Debt-collectors and related workers | 13 |
| 4220 | Client information clerks | 27 |
| 4221 | Travel agency and related clerks | 20 |
| 4222 | Receptionists and information clerks | 127 |
| 4223 | Telephone switchboard operators | 47 |
| 5000 | Service workers and shop and market sales workers | 93 |
| 5100 | Personal and protective service workers | 58 |
| 5110 | Travel attendants and related workers | 2 |
| 5111 | Travel attendants and travel stewards | 22 |
| 5112 | Transport conductors | 14 |
| 5113 | Travel guides | 19 |
| 5120 | Housekeeping and restaurant services workers | 151 |
| 5121 | Housekeepers and related workers | 37 |
| 5122 | Cooks | 430 |
| 5123 | Waiters, waitresses and bartenders | 290 |
| 5130 | Personal care and related workers | 179 |
| 5131 | Child-care workers | 261 |
| 5132 | Institution-based personal care workers | 251 |
| 5133 | Home-based personal care workers | 180 |
| 5139 | Personal care and related workers not elsewhere classified | 35 |
| 5140 | Other personal services workers | 44 |
| 5141 | Hairdressers, barbers, beauticians and related workers | 248 |
| 5142 | Companions and valets | 5 |
| 5143 | Undertakers and embalmers | 5 |
| 5149 | Other personal services workers not elsewhere classified | 30 |
| 5150 | Astrologers, fortune-tellers and related workers | 0 |
| 5151 | Astrologers and related workers | 1 |
| 5152 | Fortune-tellers, palmists and related workers | 0 |
| 5160 | Protective service workers | 24 |
| 5161 | Fire-fighters | 36 |
| 5162 | Police officers | 133 |
| 5163 | Prison guards | 21 |
| 5169 | Protective services workers not elsewhere classified | 176 |
| 5200 | Models, salespersons and demonstrators | 25 |
| 5210 | Fashion and other models | 5 |
| 5220 | Shop salespersons and demonstrators | 1658 |
| 5230 | Stall and market salespersons | 236 |
| 6000 | Skilled agricultural and fishery workers | 37 |
| 6100 | Market-oriented skilled agricultural and fishery workers | 50 |
| 6110 | Market gardeners and crop growers | 54 |
| 6111 | Field crop and vegetable growers | 370 |
| 6112 | Tree and shrub crop growers | 105 |
| 6113 | Gardeners, horticultural and nursery growers | 100 |
| 6114 | Mixed-crop growers | 32 |
| 6120 | Market-oriented animal producers and related workers | 7 |
| 6121 | Dairy and livestock producers | 120 |
| 6122 | Poultry producers | 11 |
| 6123 | Apiarists and sericulturists | 2 |
| 6124 | Mixed-animal producers | 10 |
| 6129 | Market-oriented animal producers and related workers not els | 18 |
| 6130 | Market-oriented crop and animal producers | 140 |
| 6140 | Forestry and related workers | 6 |
| 6141 | Forestry workers and loggers | 29 |
| 6142 | Charcoal burners and related workers | 0 |
| 6150 | Fishery workers, hunters and trappers | 28 |
| 6151 | Aquatic-life cultivation workers | 10 |
| 6152 | Inland and coastal waters fishery workers | 29 |
| 6153 | Deep-sea fishery workers | 8 |
| 6154 | Hunters and trappers | 0 |
| 6200 | Subsistence agricultural and fishery workers | 0 |
| 6210 | Subsistence agricultural and fishery workers | 15 |
| 7000 | Craft and related trades workers | 82 |
| 7100 | Extraction and building trades workers | 31 |
| 7110 | Miners, shotfirers, stone cutters and carvers | 7 |
| 7111 | Miners and quarry workers | 72 |
| 7112 | Shotfirers and blasters | 4 |
| 7113 | Stone splitters, cutters and carvers | 7 |
| 7120 | Building frame and related trades workers | 123 |
| 7121 | Builders, traditional materials | 169 |
| 7122 | Bricklayers and stonemasons | 272 |
| 7123 | Concrete placers, concrete finishers and related workers | 43 |
| 7124 | Carpenters and joiners | 215 |
| 7129 | Building frame and related trades workers not elsewhere clas | 103 |
| 7130 | Building finishers and related trades workers | 54 |
| 7131 | Roofers | 85 |
| 7132 | Floor layers and tile setters | 39 |
| 7133 | Plasterers | 28 |
| 7134 | Insulation workers | 6 |
| 7135 | Glaziers | 13 |
| 7136 | Plumbers and pipe fitters | 165 |
| 7137 | Building and related electricians | 169 |
| 7140 | Painters, building structure cleaners and related trades wor | 22 |
| 7141 | Painters and related workers | 113 |
| 7142 | Varnishers and related painters | 19 |
| 7143 | Building structure cleaners | 7 |
| 7200 | Metal, machinery and related trades workers | 46 |
| 7210 | Metal moulders, welders, sheet-metal workers, structural-met | 24 |
| 7211 | Metal moulders and coremakers | 6 |
| 7212 | Welders and flamecutters | 175 |
| 7213 | Sheet metal workers | 34 |
| 7214 | Structural-metal preparers and erectors | 22 |
| 7215 | Riggers and cable splicers | 4 |
| 7216 | Underwater workers | 2 |
| 7220 | Blacksmiths, tool-makers and related trades workers | 31 |
| 7221 | Blacksmiths, hammer-smiths and forging-press workers | 26 |
| 7222 | Tool-makers and related workers | 120 |
| 7223 | Machine-tool setters and setter-operators | 65 |
| 7224 | Metal wheel-grinders, polishers and tool sharpeners | 20 |
| 7230 | Machinery mechanics and fitters | 144 |
| 7231 | Motor vehicle mechanics and fitters | 292 |
| 7232 | Aircraft engine mechanics and fitters | 9 |
| 7233 | Agricultural- or industrial-machinery mechanics and fitters | 139 |
| 7240 | Electrical and electronic equipment mechanics and fitters | 60 |
| 7241 | Electrical mechanics and fitters | 111 |
| 7242 | Electronics fitters | 19 |
| 7243 | Electronics mechanics and servicers | 44 |
| 7244 | Telegraph and telephone installers and servicers | 27 |
| 7245 | Electrical line installers, repairers and cable jointers | 52 |
| 7300 | Precision, handicraft, printing and related trades workers | 11 |
| 7310 | Precision workers in metal and related materials | 7 |
| 7311 | Precision-instrument makers and repairers | 30 |
| 7312 | Musical instrument makers and tuners | 1 |
| 7313 | Jewellery and precious-metal workers | 18 |
| 7320 | Potters, glass-makers and related trades workers | 1 |
| 7321 | Abrasive wheel formers, potters and related workers | 6 |
| 7322 | Glass makers, cutters, grinders and finishers | 9 |
| 7323 | Glass engravers and etchers | 0 |
| 7324 | Glass, ceramics and related decorative painters | 5 |
| 7330 | Handicraft workers in wood, textile, leather and related mat | 7 |
| 7331 | Handicraft workers in wood and related materials | 8 |
| 7332 | Handicraft workers in textile, leather and related materials | 10 |
| 7340 | Printing and related trades workers | 14 |
| 7341 | Compositors, typesetters and related workers | 12 |
| 7342 | Stereotypers and electrotypers | 3 |
| 7343 | Printing engravers and etchers | 3 |
| 7344 | Photographic and related workers | 10 |
| 7345 | Bookbinders and related workers | 10 |
| 7346 | Silk-screen, block and textile printers | 7 |
| 7400 | Other craft and related trades workers | 16 |
| 7410 | Food processing and related trades workers | 59 |
| 7411 | Butchers, fishmongers and related food preparers | 87 |
| 7412 | Bakers, pastry-cooks and confectionery makers | 92 |
| 7413 | Dairy-products makers | 8 |
| 7414 | Fruit, vegetable and related preservers | 5 |
| 7415 | Food and beverage tasters and graders | 3 |
| 7416 | Tobacco preparers and tobacco products makers | 4 |
| 7420 | Wood treaters, cabinet-makers and related trades workers | 10 |
| 7421 | Wood treaters | 27 |
| 7422 | Cabinet makers and related workers | 108 |
| 7423 | Woodworking machine setters and setter-operators | 7 |
| 7424 | Basketry weavers, brush makers and related workers | 6 |
| 7430 | Textile, garment and related trades workers | 77 |
| 7431 | Fibre preparers | 2 |
| 7432 | Weavers, knitters and related workers | 20 |
| 7433 | Tailors, dressmakers and hatters | 121 |
| 7434 | Furriers and related workers | 7 |
| 7435 | Textile, leather and related pattern-makers and cutters | 8 |
| 7436 | Sewers, embroiderers and related workers | 92 |
| 7437 | Upholsterers and related workers | 8 |
| 7440 | Pelt, leather and shoemaking trades workers | 0 |
| 7441 | Pelt dressers, tanners and fellmongers | 2 |
| 7442 | Shoe-makers and related workers | 32 |
| 7500 | Metal worker general | 12 |
| 7510 | Metal worker n.e.c./ Non farm foremen n.e.c. | 27 |
| 7520 | Electronics engineers n.e.c. | 1 |
| 7900 | Master craftsman, supervisor | 13 |
| 8000 | Plant and machine operators and assemblers | 60 |
| 8100 | Stationary-plant and related operators | 55 |
| 8110 | Mining- and mineral-processing-plant operators | 2 |
| 8111 | Mining-plant operators | 4 |
| 8112 | Mineral-ore- and stone-processing-plant operators | 5 |
| 8113 | Well drillers and borers and related workers | 12 |
| 8120 | Metal-procession-plant operators | 8 |
| 8121 | Ore and metal furnace operators | 16 |
| 8122 | Metal melters, casters and rolling-mill operators | 8 |
| 8123 | Metal-heat-treating-plant operators | 2 |
| 8124 | Metal drawers and extruders | 7 |
| 8130 | Glass, ceramics and related plant operators | 2 |
| 8131 | Glass and ceramics kiln and related machine operators | 9 |
| 8139 | Glass, ceramics and related plant operators not elsewhere cl | 2 |
| 8140 | Wood-processing- and papermaking-plant operators | 9 |
| 8141 | Wood-processing-plant operators | 31 |
| 8142 | Paper-pulp plant operators | 2 |
| 8143 | Papermaking-plant operators | 14 |
| 8150 | Chemical-processing-plant operators | 33 |
| 8151 | Crushing-, grinding- and chemical-mixing-machinery operators | 0 |
| 8152 | Chemical-heat-treating-plant operators | 1 |
| 8153 | Chemical-filtering- and separating-equipment operators | 0 |
| 8154 | Chemical-still and reactor operators (except petroleum and n | 2 |
| 8155 | Petroleum- and natural-gas-refining-plant operators | 3 |
| 8159 | Chemical-processing-plant operators not elsewhere classified | 10 |
| 8160 | Power-production and related plant operators | 5 |
| 8161 | Power-production plant operators | 3 |
| 8162 | Steam-engine and boiler operators | 19 |
| 8163 | Incinerator, water-treatment and related plant operators | 17 |
| 8170 | Automated-assembly-line and industrial-robot operators | 9 |
| 8171 | Automated-assembly-line operators | 33 |
| 8172 | Industrial-robot operators | 1 |
| 8200 | Machine operators and assemblers | 33 |
| 8210 | Metal- and mineral-products machine operators | 32 |
| 8211 | Machine-tool operators | 95 |
| 8212 | Cement and other mineral products machine operators | 14 |
| 8220 | Chemical-products machine operators | 3 |
| 8221 | Pharmaceutical- and toiletry-products machine operators | 5 |
| 8222 | Ammunition- and explosive-products machine operators | 2 |
| 8223 | Metal finishing-, plating- and coating-machine operators | 11 |
| 8224 | Photographic-products machine operators | 3 |
| 8229 | Chemical-products machine operators not elsewhere classified | 4 |
| 8230 | Rubber- and plastic-products machine operators | 5 |
| 8231 | Rubber-products machine operators | 14 |
| 8232 | Plastic-products machine operators | 29 |
| 8240 | Wood-products machine operators | 20 |
| 8250 | Printing-, binding- and paper-products machine operators | 10 |
| 8251 | Printing-machine operators | 18 |
| 8252 | Bookbinding-machine operators | 2 |
| 8253 | Paper-products machine operators | 8 |
| 8260 | Textile-, fur- and leather-products machine operators | 7 |
| 8261 | Fibre-preparing-, spinning- and winding-machine operators | 12 |
| 8262 | Weaving- and knitting-machine operators | 18 |
| 8263 | Sewing-machine operators | 84 |
| 8264 | Bleaching-, dyeing- and cleaning-machine operators | 19 |
| 8265 | Fur and leather-preparing-machine operators | 5 |
| 8266 | Shoemaking- and related machine operators | 12 |
| 8269 | Textile-, fur- and leather-products machine operators not el | 24 |
| 8270 | Food and related products machine operators | 16 |
| 8271 | Meat- and fish-processing-machine operators | 15 |
| 8272 | Dairy-products machine operators | 7 |
| 8273 | Grain- and spice-milling-machine operators | 2 |
| 8274 | Baked-goods, cereal and chocolate-products machine operators | 10 |
| 8275 | Fruit-, vegetable- and nut-processing-machine operators | 6 |
| 8276 | Sugar production machine operators | 1 |
| 8277 | Tea-, coffee-, and cocoa-processing-machine operators | 0 |
| 8278 | Brewers, wine and other beverage machine operators | 6 |
| 8279 | Tobacco production machine operators | 19 |
| 8280 | Assemblers | 30 |
| 8281 | Mechanical-machinery assemblers | 28 |
| 8282 | Electrical-equipment assemblers | 30 |
| 8283 | Electronic-equipment assemblers | 33 |
| 8284 | Metal-, rubber- and plastic-products assemblers | 28 |
| 8285 | Wood and related products assemblers | 5 |
| 8286 | Paperboard, textile and related products assemblers | 4 |
| 8290 | Other machine operators and assemblers | 76 |
| 8300 | Drivers and mobile-plant operators | 10 |
| 8310 | Locomotive-engine drivers and related workers | 17 |
| 8311 | Locomotive-engine drivers | 37 |
| 8312 | Railway brakers, signallers and shunters | 29 |
| 8320 | Motor-vehicle drivers | 190 |
| 8321 | Motor-cycle drivers | 46 |
| 8322 | Car, taxi and van drivers | 325 |
| 8323 | Bus and tram drivers | 181 |
| 8324 | Heavy-truck and lorry drivers | 500 |
| 8330 | Agricultural and other mobile-plant agricultural and other m | 22 |
| 8331 | Motorised farm and forestry plant operators | 91 |
| 8332 | Earth-moving- and related plant operators | 67 |
| 8333 | Crane, hoist and related plant operators | 51 |
| 8334 | Lifting-truck operators | 40 |
| 8340 | Ship's' deck crews and related workers | 35 |
| 9000 | Elementary occupations | 203 |
| 9100 | Sales and services elementary occupations | 24 |
| 9110 | Street vendors and related workers | 4 |
| 9111 | Street food vendors | 51 |
| 9112 | Street vendors, non-food products | 35 |
| 9113 | Door-to-door and telephone salespersons | 39 |
| 9120 | Shoe cleaning and other street services elementary occupatio | 3 |
| 9130 | Domestic and related helpers, cleaners and launderers | 150 |
| 9131 | Domestic helpers and cleaners | 343 |
| 9132 | Helpers and cleaners in offices, hotels and other establishm | 387 |
| 9133 | Hand-launderers and pressers | 33 |
| 9140 | Building caretakers, window and related cleaners | 23 |
| 9141 | Building caretakers | 147 |
| 9142 | Vehicle, window and related cleaners | 12 |
| 9150 | Messengers, portiers, doorkeepers and related workers | 5 |
| 9151 | Messengers, package and luggage porters and deliverers | 120 |
| 9152 | Doorkeepers, watchpersons and related workers | 149 |
| 9153 | Vending-machine money collectors, meter readers and related | 7 |
| 9160 | Garbage collectors and related labourers | 9 |
| 9161 | Garbage collectors | 23 |
| 9162 | Sweepers and related labourers | 68 |
| 9200 | Agricultural, fishers and related labourers | 5 |
| 9210 | Agricultural, fishers and related labourers | 7 |
| 9211 | Farm-hands and labourers | 311 |
| 9212 | Forestry labourers | 31 |
| 9213 | Fishery, hunting and trapping labourers | 17 |
| 9300 | Labourers in mining, construction, manufacturing and transpo | 18 |
| 9310 | Mining and construction labourers | 41 |
| 9311 | Mining and quarrying labourers | 16 |
| 9312 | Construction and maintenance labourers: roads, dams and simi | 119 |
| 9313 | Building construction labourers | 191 |
| 9320 | Manufacturing labourers | 151 |
| 9321 | Assembling labourers | 53 |
| 9322 | Hand packers and other manufacturing labourers | 99 |
| 9330 | Transport labourers and freight handlers | 64 |
| 9331 | Hand or pedal vehicle drivers | 16 |
| 9332 | Drivers of animal-drawn vehicles and machinery | 3 |
| 9333 | Freight handlers | 145 |
| 0 | NAP (code 0,3 (CN,DE,GB: 0,2,3) in SPWORK); not available: Z | 27373 |
| 9998 | Don't know, inadequately described | 554 |
| 9999 | No answer | 3100 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 30727 | 31027 | 110 | 9333 |
Valid range from 110 to 9333
SPMAINST Spouse, partner: main status
| Value 156265 | Frequency | |
|---|---|---|
| 1 | In paid work | 24078 |
| 2 | Unemployed and looking for a job | 1984 |
| 3 | In education | 991 |
| 4 | Apprentice or trainee | 109 |
| 5 | Permanently sick or disabled | 946 |
| 6 | Retired | 7093 |
| 7 | Domestic work | 3990 |
| 8 | In compulsory military service or community service | 62 |
| 9 | Other | 1225 |
| 0 | NAP (code 3,7 (AT: 2,3) in PARTLIV) (VE: 0,3 in SPWORK) (TW, | 20269 |
| 98 | Don't know | 1 |
| 99 | No answer | 1006 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40478 | 21276 | 1 | 9 |
Valid range from 1 to 9
UNION Trade union membership
| Value 157264 | Frequency | |
|---|---|---|
| 1 | Yes, currently | 10474 |
| 2 | Yes, previously, but not currently | 11288 |
| 3 | No, never | 35885 |
| 0 | NAP (code 3 (KR: 2,3) in WORK; US:NAP); Not available: GB | 2372 |
| 7 | Refused | 176 |
| 8 | Don't know | 54 |
| 9 | No answer, NL: NA, refused | 1505 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57647 | 4107 | 1 | 3 |
Valid range from 1 to 3
AR_RELIG Country specific religious affiliation or denomination: Argentina
| Value 158263 | Frequency | |
|---|---|---|
| 0 | No religion | 181 |
| 1 | Apostolic Roman Catholic | 677 |
| 2 | Protestant | 91 |
| 3 | Orthodox | 3 |
| 4 | Other Christian | 7 |
| 5 | Jewish | 1 |
| 6 | Buddhist | 1 |
| 990 | NAP, other countries | 60777 |
| 999 | No answer | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 961 | 60793 | 0 | 6 |
Valid range from 0 to 6
AT_RELIG Country specific religious affiliation or denomination: Austria
| Value 159262 | Frequency | |
|---|---|---|
| 0 | No religion | 180 |
| 1 | Roman Catholic | 866 |
| 2 | Lutheran Church (without Protestant free churches) | 50 |
| 3 | Other Christian denomination | 27 |
| 4 | Muslim denomination | 45 |
| 5 | Other non-Christian denomination | 14 |
| 990 | NAP, other countries | 60572 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1182 | 60572 |
Valid range from 0 to 5
AU_RELIG Country specific religious affiliation or denomination: Australia
| Value 160261 | Frequency | |
|---|---|---|
| 0 | No religion | 545 |
| 1 | Catholic | 360 |
| 2 | Protestant | 81 |
| 3 | Anglican/ Church of England | 267 |
| 4 | Uniting Church/ Methodist | 108 |
| 5 | Pentecostal | 17 |
| 6 | Orthodox | 28 |
| 7 | Other Christian | 58 |
| 8 | Jewish | 11 |
| 9 | Islamic | 16 |
| 10 | Buddhist | 23 |
| 11 | Hindu | 6 |
| 12 | Other Asian religions | 4 |
| 13 | Other religions | 55 |
| 990 | NAP, other countries | 60142 |
| 999 | No answer | 33 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1579 | 60175 |
Valid range from 0 to 13
BE_RELIG Country specific religious affiliation or denomination: Belgium
| Value 161260 | Frequency | |
|---|---|---|
| 0 | No religion | 690 |
| 1 | Roman Catholic | 763 |
| 2 | Protestant | 24 |
| 4 | Other Christian groups | 447 |
| 5 | Jewish | 7 |
| 6 | Islamic | 152 |
| 10 | Other Religions | 46 |
| 990 | NAP, other countries | 59552 |
| 999 | No answer | 73 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2129 | 59625 | 0 | 10 |
Valid range from 0 to 10
BG_RELIG Country specific religious affiliation or denomination: Bulgaria
| Value 162259 | Frequency | |
|---|---|---|
| 0 | No religion | 76 |
| 200 | Protestant | 8 |
| 300 | Orthodox | 811 |
| 690 | Islam | 107 |
| 990 | NAP, other countries | 60751 |
| 999 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1002 | 60752 | 0 | 690 |
Valid range from 0 to 690
CA_RELIG Country specific religious affiliation or denomination: Canada
| Value 163258 | Frequency | |
|---|---|---|
| 0 | No religion | 487 |
| 1 | Catholic | 181 |
| 2 | Protestant | 130 |
| 3 | Orthodox | 5 |
| 4 | Other Christian | 75 |
| 5 | Jewish | 4 |
| 6 | Islamic | 8 |
| 7 | Buddhist | 3 |
| 8 | Hindu | 0 |
| 9 | Other Asian Religions | 4 |
| 10 | Other Religions | 10 |
| 990 | NAP, other countries | 60782 |
| 999 | No answer | 65 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 907 | 60847 |
Valid range from 0 to 10
CH_RELIG Country specific religious affiliation or denomination: Switzerland
| Value 164257 | Frequency | |
|---|---|---|
| 0 | No religion | 282 |
| 100 | Roman Catholic | 420 |
| 200 | Protestant | 346 |
| 290 | Other Protestant (no specific religion mentioned) | 39 |
| 300 | Orthodox | 15 |
| 400 | Other Christian Religions | 20 |
| 500 | Jewish | 3 |
| 600 | Islam | 59 |
| 700 | Buddhism | 9 |
| 800 | Hinduism | 8 |
| 970 | Other non-Christian religions | 1 |
| 990 | NAP, other countries | 60517 |
| 997 | Refused | 9 |
| 999 | No answer | 26 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1202 | 60552 |
Valid range from 0 to 970
CL_RELIG Country specific religious affiliation or denomination: Chile
| Value 165256 | Frequency | |
|---|---|---|
| 0 | No religion | 189 |
| 1 | Catholic | 1028 |
| 2 | Evangelical | 276 |
| 3 | Jehovah's Witnesses | 18 |
| 4 | Jews | 2 |
| 5 | Mormons | 10 |
| 6 | Muslim | 1 |
| 7 | Orthodox | 2 |
| 8 | Other | 25 |
| 990 | NAP, other countries | 60190 |
| 999 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1551 | 60203 |
Valid range from 0 to 8
CN_RELIG Country specific religious affiliation or denomination: China
| Value 166255 | Frequency | |
|---|---|---|
| 0 | No religion | 5055 |
| 1 | Catholic | 12 |
| 2 | Protestant | 117 |
| 3 | Orthodox | 1 |
| 6 | Islamic | 176 |
| 7 | Buddhist | 344 |
| 9 | Other Asian religions | 238 |
| 10 | Other religions | 2 |
| 990 | NAP, other countries | 55808 |
| 997 | Refused | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 5945 | 55809 |
Valid range from 0 to 10
CZ_RELIG Country specific religious affiliation or denomination: Czech Republic
| Value 167254 | Frequency | |
|---|---|---|
| 0 | No religion | 1222 |
| 1 | Roman Catholic | 434 |
| 2 | Czech-Brethren Evangelical Church | 50 |
| 3 | Czechoslovak Hussite | 30 |
| 4 | Other Christian | 3 |
| 5 | Other non-Christian | 4 |
| 990 | NAP, other countries | 59950 |
| 999 | No answer | 61 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1743 | 60011 |
Valid range from 0 to 5
DE_RELIG Country specific religious affiliation or denomination: Germany
| Value 168253 | Frequency | |
|---|---|---|
| 0 | No religion | 589 |
| 1 | Roman Catholic | 503 |
| 2 | German Protestant Church | 546 |
| 3 | Protestant Free Church | 21 |
| 4 | Orthodox | 17 |
| 5 | Other Christian denomination | 21 |
| 6 | Islamic Religion | 49 |
| 7 | Jewish Religion | 1 |
| 8 | Buddhist Religion | 3 |
| 9 | Hindu Religion | 1 |
| 10 | Other non-Christian religion | 7 |
| 990 | NAP, other countries | 59988 |
| 997 | Refused | 5 |
| 999 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1758 | 59996 |
Valid range from 0 to 10
DK_RELIG Country specific religious affiliation or denomination: Denmark
| Value 169252 | Frequency | |
|---|---|---|
| 0 | No religion | 225 |
| 100 | Roman Catholic | 10 |
| 250 | Lutheran | 1119 |
| 500 | Jewish | 1 |
| 600 | Islam | 8 |
| 960 | Other religions | 18 |
| 990 | NAP, other countries | 60351 |
| 998 | Don't know | 22 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1381 | 60373 |
Valid range from 0 to 960
ES_RELIG Country specific religious affiliation or denomination: Spain
| Value 170251 | Frequency | |
|---|---|---|
| 0 | No religion | 525 |
| 100 | Roman Catholic | 1903 |
| 200 | Protestant | 4 |
| 282 | Jehovah's Witnesses | 9 |
| 290 | Evangelist Church | 12 |
| 390 | Orthodox | 25 |
| 400 | Other Christian religion | 8 |
| 600 | Islam | 35 |
| 700 | Buddhist | 4 |
| 960 | Other religion | 6 |
| 990 | NAP, other countries | 59159 |
| 999 | No answer | 64 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2531 | 59223 |
Valid range from 0 to 960
FI_RELIG Country specific religious affiliation or denomination: Finland
| Value 171250 | Frequency | |
|---|---|---|
| 0 | No religion | 239 |
| 1 | The Evangelical Lutheran Church of Finland | 854 |
| 2 | Finnish Orthodox Church | 19 |
| 3 | Catholic Church in Finland | 5 |
| 4 | Other Christian Church or denomination | 22 |
| 6 | Islam/Muslim | 8 |
| 7 | Buddhist | 1 |
| 10 | Other religious denomination | 7 |
| 990 | NAP, other countries | 60583 |
| 999 | No answer | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1155 | 60599 |
Valid range from 0 to 10
FR_RELIG Country specific religious affiliation or denomination: France
| Value 172249 | Frequency | |
|---|---|---|
| 0 | No religion | 1007 |
| 1 | Catholic | 1155 |
| 2 | Protestant | 35 |
| 3 | Orthodox | 6 |
| 4 | Other Christian | 16 |
| 5 | Jewish | 16 |
| 6 | Islamic | 70 |
| 7 | Buddhist | 9 |
| 8 | Hindu | 2 |
| 10 | Other religions | 8 |
| 990 | NAP, other countries | 59345 |
| 999 | No answer | 85 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2324 | 59430 |
Valid range from 0 to 10
GB_RELIG Country specific religious affiliation or denomination: Great Britain
| Value 173248 | Frequency | |
|---|---|---|
| 0 | No religion | 444 |
| 2 | Christian - no denomination | 86 |
| 3 | Roman Catholic | 77 |
| 4 | Church of England/ Anglican | 240 |
| 5 | Baptist | 5 |
| 6 | Methodist | 19 |
| 7 | Presbyterian/ Church of Scotland | 31 |
| 8 | Other Christian | 1 |
| 9 | Hindu | 4 |
| 11 | Islam/ Muslim | 17 |
| 12 | Sikh | 3 |
| 13 | Buddhist | 3 |
| 14 | Other non-Christian | 5 |
| 23 | United Reform Church (URC)/ Congregational | 2 |
| 27 | Other Protestant | 11 |
| 990 | NAP, other countries | 60804 |
| 997 | Refused | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 948 | 60806 | 0 | 27 |
Valid range from 0 to 27
HR_RELIG Country specific religious affiliation or denomination: Croatia
| Value 174247 | Frequency | |
|---|---|---|
| 0 | No religion | 86 |
| 1 | Catholic | 866 |
| 2 | Orthodox | 21 |
| 3 | Islamic | 9 |
| 5 | Protestant | 2 |
| 6 | Other | 3 |
| 990 | NAP, other countries | 60754 |
| 997 | Refused | 6 |
| 999 | No answer | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 987 | 60767 |
Valid range from 0 to 6
HU_RELIG Country specific religious affiliation or denomination: Hungary
| Value 175246 | Frequency | |
|---|---|---|
| 0 | No religion | 192 |
| 1 | Calvinist | 140 |
| 2 | Lutheralist | 20 |
| 3 | Unitarianist | 1 |
| 4 | Baptist | 4 |
| 8 | Roman Catholic | 593 |
| 9 | Greek Catholic | 34 |
| 10 | Jewish | 3 |
| 12 | Eastern Orthodox | 1 |
| 13 | Islamic | 1 |
| 14 | Other not christian | 3 |
| 15 | Other christian | 4 |
| 990 | NAP, other countries | 60742 |
| 999 | No answer | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 996 | 60758 | 0 | 15 |
Valid range from 0 to 15
IE_RELIG Country specific religious affiliation or denomination: Ireland
| Value 176245 | Frequency | |
|---|---|---|
| 0 | No religion | 141 |
| 1 | Catholic | 967 |
| 2 | Protestant | 54 |
| 3 | Orthodox | 2 |
| 4 | Other Christian | 20 |
| 5 | Jewish | 0 |
| 6 | Islamic | 8 |
| 7 | Buddhist | 2 |
| 8 | Hindu | 1 |
| 10 | Other religions | 9 |
| 990 | NAP, other countries | 60539 |
| 999 | No answer | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1204 | 60550 |
Valid range from 0 to 10
IL_RELIG Country specific religious affiliation or denomination: Israel
| Value 177244 | Frequency | |
|---|---|---|
| 0 | No religion | 17 |
| 1 | Catholic | 34 |
| 2 | Protestant | 1 |
| 3 | Orthodox | 18 |
| 4 | Other Christian | 5 |
| 5 | Jewish | 986 |
| 6 | Islamic | 132 |
| 10 | Other religions | 2 |
| 11 | Druze | 21 |
| 990 | NAP, other countries | 60534 |
| 997 | Refused | 1 |
| 999 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1216 | 60538 |
Valid range from 0 to 11
IN_RELIG Country specific religious affiliation or denomination: India
| Value 178243 | Frequency | |
|---|---|---|
| 1 | Catholic | 40 |
| 4 | Other Christian | 17 |
| 6 | Islamic | 215 |
| 8 | Hindu | 1282 |
| 9 | Sikh | 33 |
| 10 | Other religions | 73 |
| 990 | NAP, other countries | 60094 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1660 | 60094 |
Valid range from 1 to 10
IS_RELIG Country specific religious affiliation or denomination: Iceland
| Value 179242 | Frequency | |
|---|---|---|
| 0 | No religion | 176 |
| 1 | Protestant (other than National Church) | 27 |
| 2 | Catholic | 18 |
| 3 | Orthodox | 1 |
| 4 | Other Christian | 9 |
| 6 | Islamic | 3 |
| 7 | Buddhist | 1 |
| 9 | Other Asian religions | 1 |
| 10 | Asatru (Belief in old nordic gods) | 14 |
| 11 | Other religions | 3 |
| 55 | National Church (Protestant) | 865 |
| 990 | NAP, other countries | 60582 |
| 997 | Refused | 41 |
| 998 | Don't know | 3 |
| 999 | No answer | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1118 | 60636 |
Valid range from 0 to 55
JP_RELIG Country specific religious affiliation or denomination: Japan
| Value 180241 | Frequency | |
|---|---|---|
| 0 | No religion | 764 |
| 4 | Other Christian | 18 |
| 7 | Buddhist | 370 |
| 9 | Other Asian religions | 27 |
| 10 | Other religions | 13 |
| 990 | NAP, other countries | 60542 |
| 999 | No answer | 20 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1192 | 60562 |
Valid range from 0 to 10
KR_RELIG Country specific religious affiliation or denomination: Korea (South)
| Value 181240 | Frequency | |
|---|---|---|
| 0 | No religion | 559 |
| 1 | Buddhist | 413 |
| 2 | Protestant | 283 |
| 3 | Catholic | 126 |
| 4 | Won-Buddhism | 1 |
| 5 | Soka Gakkai International | 1 |
| 6 | Confucianism | 3 |
| 8 | Folk religion/ Shamanism | 1 |
| 13 | Other Asian religions | 9 |
| 990 | NAP, other countries | 60358 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1396 | 60358 | 0 | 13 |
Valid range from 0 to 13
LT_RELIG Country specific religious affiliation or denomination: Lithuania
| Value 182239 | Frequency | |
|---|---|---|
| 0 | No religion | 83 |
| 1 | Catholic | 1040 |
| 2 | Protestant | 21 |
| 3 | Orthodox | 17 |
| 4 | Other Christian | 11 |
| 7 | Buddhist | 2 |
| 990 | NAP, other countries | 60567 |
| 997 | Refused | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1174 | 60580 |
Valid range from 0 to 7
LV_RELIG Country specific religious affiliation or denomination: Latvia
| Value 183238 | Frequency | |
|---|---|---|
| 0 | No religion | 315 |
| 100 | Roman Catholic | 230 |
| 220 | Baptists | 7 |
| 250 | Lutheran, Evangelical Church | 162 |
| 270 | Pentecostal | 3 |
| 290 | Other Protestants (no specific denomination) | 2 |
| 295 | Seventh Day Adventists | 2 |
| 320 | Russian Orthodox | 214 |
| 325 | Old Believers | 26 |
| 400 | Other Christian Groups | 2 |
| 700 | Buddhists | 2 |
| 960 | Other religions | 4 |
| 990 | NAP, other countries | 60754 |
| 997 | Refused | 20 |
| 999 | No answer | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 969 | 60785 |
Valid range from 0 to 960
MX_RELIG Country specific religious affiliation or denomination: Mexico
| Value 184237 | Frequency | |
|---|---|---|
| 0 | No religion | 80 |
| 100 | Roman Catholic | 1242 |
| 220 | Baptists | 2 |
| 240 | European Free Church (Anabaptists) | 1 |
| 250 | Lutheran, Evangelical Church | 37 |
| 270 | Pentecostal | 5 |
| 271 | Full Gospel Church of God | 1 |
| 274 | St Johnes Apostolic Faith Mission | 1 |
| 275 | Nazareth Baptist Church | 1 |
| 282 | Jehovah's Witnesses | 15 |
| 283 | Church of Christ | 5 |
| 284 | New Apostolic | 1 |
| 285 | LDS Church, Apostle Twelve | 2 |
| 287 | Church of God | 9 |
| 290 | Other Protestants (no spec. denom.) | 3 |
| 291 | Brethren | 1 |
| 292 | Mormon | 2 |
| 294 | Assemblies of God | 1 |
| 295 | Seventh Day Adventists | 3 |
| 310 | Greek Orthodox | 3 |
| 390 | Orthodox (no spec. mentioned) | 2 |
| 407 | Christians | 11 |
| 417 | Jesus is Alive | 1 |
| 490 | Unspecified Christian Groups | 11 |
| 530 | Reformist Jewish | 1 |
| 590 | Jewish Religion general | 1 |
| 960 | Other religions | 6 |
| 990 | NAP, other countries | 60227 |
| 997 | Refused | 9 |
| 998 | Information insufficient | 3 |
| 999 | No answer | 67 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1448 | 60306 | 0 | 960 |
Valid range from 0 to 960
NL_RELIG Country specific religious affiliation or denomination: Netherlands
| Value 185236 | Frequency | |
|---|---|---|
| 0 | No religion | 518 |
| 10 | Roman Catholic | 386 |
| 20 | Protestant Church of the Netherlands | 20 |
| 21 | Prot.Church of NL: Reformed origin | 160 |
| 22 | Prot.Church of NL: Re-Reformed origin | 70 |
| 23 | Prot.Church of NL: Lutheran origin | 5 |
| 30 | Re-Reformed Churches | 30 |
| 40 | Evangelical | 18 |
| 50 | Eastern orthodox | 4 |
| 60 | Other Christian Religions | 12 |
| 70 | Islam | 15 |
| 80 | Jewish | 3 |
| 90 | Hinduism | 7 |
| 100 | Buddhism | 7 |
| 110 | Other Asian Religions | 3 |
| 120 | Other Religions | 10 |
| 990 | NAP, other countries | 60439 |
| 999 | No answer | 47 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1268 | 60486 | 0 | 120 |
Valid range from 0 to 120
NO_RELIG Country specific religious affiliation or denomination: Norway
| Value 186235 | Frequency | |
|---|---|---|
| 0 | No denomination or life stance organisation | 222 |
| 1 | Church of Norway (State Church) | 1048 |
| 2 | Pentecostal | 18 |
| 3 | Other Protestant denomination | 22 |
| 4 | Roman Catholic | 6 |
| 5 | Orthodox (Greek, Russian, others) | 5 |
| 6 | Other Christian denomination | 16 |
| 8 | Islam | 17 |
| 9 | Buddhism | 10 |
| 10 | Hinduism | 3 |
| 11 | Other Eastern religion | 2 |
| 12 | Other religion | 7 |
| 13 | Other life stance organisation, for example the Norwegian Hu | 48 |
| 990 | NAP, other countries | 60310 |
| 999 | No answer | 20 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1424 | 60330 |
Valid range from 0 to 13
PH_RELIG Country specific religious affiliation or denomination: Philippines
| Value 187234 | Frequency | |
|---|---|---|
| 0 | No religion | 3 |
| 1 | Roman Catholic | 918 |
| 2 | Iglesia ni Cristo | 48 |
| 3 | Aglipayan | 30 |
| 4 | Protestant | 14 |
| 5 | Islam | 57 |
| 6 | Jesus is Lord | 2 |
| 7 | Born Again | 41 |
| 8 | Church of God Word Mission | 1 |
| 10 | Baptist | 18 |
| 11 | Church of Jesus Christ and the Latter Day Saints (Mormon) | 4 |
| 12 | Seventh Day Adventist | 11 |
| 13 | Methodist | 4 |
| 14 | Full Gospel Christian | 1 |
| 15 | Glad Tidings Christian Fellowship | 1 |
| 16 | Jehovah's Witnesses | 4 |
| 18 | Dating Daan | 2 |
| 20 | Anglican | 4 |
| 21 | Church of God International | 3 |
| 22 | Jesus Christ Corner Mystery | 1 |
| 23 | Church of Christ | 7 |
| 24 | Christian Victory | 1 |
| 27 | Assembly of God | 4 |
| 28 | Four Square Gospel | 8 |
| 29 | One Way | 1 |
| 31 | Pentecostal | 3 |
| 32 | Church of God | 2 |
| 34 | Presbyterian | 2 |
| 36 | Alliance | 3 |
| 37 | Jesus Christ Center Faith Ministry | 1 |
| 990 | NAP, other countries | 60554 |
| 997 | Refused | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1199 | 60555 | 0 | 37 |
Valid range from 0 to 37
PL_RELIG Country specific religious affiliation or denomination: Poland
| Value 188233 | Frequency | |
|---|---|---|
| 0 | No religion | 151 |
| 1 | Catholic | 935 |
| 2 | Protestant | 7 |
| 3 | Orthodox | 7 |
| 4 | Jehovah's Witnesses | 3 |
| 5 | Seventh-day Adventist | 1 |
| 990 | NAP, other countries | 60639 |
| 997 | Refused | 3 |
| 998 | Don't know | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1104 | 60650 | 0 | 5 |
Valid range from 0 to 5
PT_RELIG Country specific religious affiliation or denomination: Portugal
| Value 189232 | Frequency | |
|---|---|---|
| 0 | None | 129 |
| 1 | Catholic | 811 |
| 2 | Protestant | 10 |
| 4 | Other Christian | 19 |
| 5 | Jewish | 1 |
| 6 | Islamic | 2 |
| 7 | Buddhism | 1 |
| 10 | Other religions | 11 |
| 990 | NAP, other countries | 60753 |
| 997 | Refused | 11 |
| 999 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 984 | 60770 |
Valid range from 0 to 10
RU_RELIG Country specific religious affiliation or denomination: Russia
| Value 190231 | Frequency | |
|---|---|---|
| 0 | No religion | 199 |
| 1 | Orthodox | 1196 |
| 2 | Catholic | 1 |
| 3 | Protestant | 4 |
| 4 | Jewish | 2 |
| 5 | Islamic | 71 |
| 6 | Buddhist | 9 |
| 7 | Hindu | 1 |
| 8 | Other religions | 3 |
| 990 | NAP, other countries | 60229 |
| 997 | Refused | 27 |
| 998 | Don't know | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1486 | 60268 | 0 | 8 |
Valid range from 0 to 8
SE_RELIG Country specific religious affiliation or denomination: Sweden
| Value 191230 | Frequency | |
|---|---|---|
| 0 | No religion | 234 |
| 1 | Church of Sweden | 719 |
| 2 | Roman Catholic | 19 |
| 3 | Christian Orthodox | 14 |
| 4 | Christian Free Church | 20 |
| 5 | Other Christian church/ community | 16 |
| 6 | Jewish | 2 |
| 7 | Islamic | 10 |
| 8 | Buddhist | 2 |
| 10 | Other religion | 7 |
| 990 | NAP, other countries | 60694 |
| 999 | No answer | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1043 | 60711 |
Valid range from 0 to 10
SI_RELIG Country specific religious affiliation or denomination: Slovenia
| Value 192229 | Frequency | |
|---|---|---|
| 0 | No religion | 312 |
| 1 | Catholic | 652 |
| 2 | Protestant | 11 |
| 3 | Orthodox | 17 |
| 4 | Other Christian | 1 |
| 6 | Islamic | 20 |
| 10 | Other religions | 2 |
| 990 | NAP, other countries | 60720 |
| 999 | No answer | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1015 | 60739 |
Valid range from 0 to 10
SK_RELIG Country specific religious affiliation or denomination: Slovakia
| Value 193228 | Frequency | |
|---|---|---|
| 0 | No religion | 135 |
| 1 | Roman Catholic | 765 |
| 2 | Evangelical Lutheran | 72 |
| 3 | Greek Catholic | 73 |
| 4 | Reformed Calvinist | 10 |
| 5 | Christian Orthodox | 12 |
| 6 | Jehovah's Witnesses | 2 |
| 7 | Other Christian | 1 |
| 8 | Jewish | 1 |
| 9 | Other non-Christian | 3 |
| 990 | NAP, other countries | 60626 |
| 999 | No answer | 54 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1074 | 60680 | 0 | 9 |
Valid range from 0 to 9
TR_RELIG Country specific religious affiliation or denomination: Turkey
| Value 194227 | Frequency | |
|---|---|---|
| 0 | No religion | 41 |
| 2 | Muslim | 1573 |
| 3 | Orthodox Christian | 1 |
| 990 | NAP, other countries | 60134 |
| 999 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1615 | 60139 |
Valid range from 0 to 3
TW_RELIG Country specific religious affiliation or denomination: Taiwan
| Value 195226 | Frequency | |
|---|---|---|
| 0 | No religion | 383 |
| 1 | Buddhism | 379 |
| 2 | Taoism | 318 |
| 3 | Folk Religion | 846 |
| 4 | Yiguan Dao | 34 |
| 6 | Catholicism | 19 |
| 7 | Protestant Christianity | 88 |
| 8 | Other | 4 |
| 990 | NAP, other countries | 59682 |
| 999 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2071 | 59683 |
Valid range from 0 to 8
US_RELIG Country specific religious affiliation or denomination: United States
| Value 196225 | Frequency | |
|---|---|---|
| 0 | None | 277 |
| 1 | Protestant | 591 |
| 2 | Catholic | 283 |
| 3 | Jewish | 19 |
| 5 | Other | 11 |
| 6 | Buddhism | 3 |
| 7 | Hinduism | 5 |
| 8 | Other Eastern religions | 2 |
| 9 | Moslem/ Islam | 7 |
| 10 | Orthodox-Christian | 5 |
| 11 | Christian | 88 |
| 12 | Native American | 4 |
| 13 | Inter-non-denominational | 1 |
| 990 | NAP, other countries | 60452 |
| 998 | Don't know | 4 |
| 999 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1296 | 60458 |
Valid range from 0 to 13
VE_RELIG Country specific religious affiliation or denomination: Venezuela
| Value 197224 | Frequency | |
|---|---|---|
| 0 | No religion | 107 |
| 100 | Roman Catholic | 645 |
| 270 | Pentecostal | 2 |
| 282 | Jehovas Witnesses | 13 |
| 400 | Other Christian Group | 21 |
| 407 | Christians | 161 |
| 960 | Other religions | 13 |
| 990 | NAP, other countries | 60757 |
| 998 | Don't know | 5 |
| 999 | No answer | 30 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 962 | 60792 |
Valid range from 0 to 960
ZA_RELIG Country specific religious affiliation or denomination: South Africa
| Value 198223 | Frequency | |
|---|---|---|
| 1 | Christian - without specification | 340 |
| 2 | African Evangelical Church | 37 |
| 3 | Anglican | 106 |
| 4 | Assembles of God | 32 |
| 5 | Apostle Twelve | 126 |
| 6 | Baptist | 32 |
| 7 | Dutch Reformed | 125 |
| 8 | Full Gospel Church of God | 77 |
| 9 | Faith Mission | 30 |
| 10 | Church of God and Saints of Christ | 8 |
| 11 | Jehovahs Witness | 9 |
| 12 | Lutheran | 50 |
| 13 | Methodist | 119 |
| 14 | Pentecostal Holiness Church | 26 |
| 15 | Roman Catholic | 140 |
| 16 | Salvation Army | 4 |
| 17 | Seventh Day Adventist | 16 |
| 18 | St Johns Apostolic | 34 |
| 19 | United Congregation Church | 23 |
| 20 | Universal Church of God | 8 |
| 21 | Nazareth | 30 |
| 22 | Zionist Christian Church | 241 |
| 23 | Other Christian | 73 |
| 24 | Islam or Muslim | 80 |
| 26 | Hinduism or Hindu | 98 |
| 27 | Buddhism or Buddhist | 2 |
| 28 | Other | 266 |
| 990 | NAP, other countries | 59207 |
| 997 | Refused | 3 |
| 998 | Don't know | 1 |
| 999 | No answer | 411 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2132 | 59622 | 1 | 28 |
Valid range from 1 to 28
RELIGGRP Groups of religious affiliations (derived from nat_RELIG)
| Value 199222 | Frequency | |
|---|---|---|
| 0 | No religion | 17101 |
| 1 | Catholic | 19238 |
| 2 | Protestant | 9869 |
| 3 | Orthodox | 2906 |
| 4 | Other Christian religions | 2352 |
| 5 | Jewish | 1065 |
| 6 | Islamic | 2963 |
| 7 | Buddhist | 1190 |
| 8 | Hindu | 1418 |
| 9 | Other Asian religions | 1523 |
| 10 | Other religions | 698 |
| 97 | Refused | 151 |
| 98 | Information insufficient | 61 |
| 99 | No answer | 1219 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 60323 | 1431 | 0 | 10 |
Valid range from 0 to 10
ATTEND Attendance of religious services
| Value 200221 | Frequency | |
|---|---|---|
| 1 | Several times a week or more often (incl. every day, several | 3111 |
| 2 | Once a week | 6593 |
| 3 | 2 or 3 times a month | 3600 |
| 4 | Once a month | 2794 |
| 5 | Several times a year | 9776 |
| 6 | Once a year | 5770 |
| 7 | Less frequently than once a year | 6815 |
| 8 | Never | 19128 |
| 0 | NAP, no (Christian) religion; Not available: AU | 2485 |
| 97 | Refused | 144 |
| 98 | Don't know | 302 |
| 99 | No answer | 1236 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57587 | 4167 | 1 | 8 |
Valid range from 1 to 8
TOPBOT Top-Bottom self-placement
| Value 201220 | Frequency | |
|---|---|---|
| 1 | Lowest, Bottom, 01 | 1875 |
| 2 | 02 | 2425 |
| 3 | 03 | 5248 |
| 4 | 04 | 7277 |
| 5 | 05 | 14677 |
| 6 | 06 | 10766 |
| 7 | 07 | 8080 |
| 8 | 08 | 4668 |
| 9 | 09 | 995 |
| 10 | Highest, Top, 10 | 896 |
| 0 | Not available: GB,US | 2252 |
| 97 | Refused | 41 |
| 98 | Don't know | 846 |
| 99 | No answer | 1708 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 56907 | 4847 | 1 | 10 |
Valid range from 1 to 10
VOTE_LE Did respondent vote in last general election?
| Value 202219 | Frequency | |
|---|---|---|
| 1 | Yes | 43813 |
| 2 | No | 11471 |
| 0 | NAP, not eligible to vote at last election; not available: G | 4507 |
| 7 | Refused | 870 |
| 8 | Don't know | 3 |
| 9 | No answer | 1090 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 55284 | 6470 | 1 | 2 |
Valid range from 1 to 2
AR_PRTY Country specific party voted for in last general election: Argentina
| Value 203218 | Frequency | |
|---|---|---|
| 1 | Front for Victory - FVP | 406 |
| 2 | Broad Progressive Front - FAP | 92 |
| 3 | Union for Social Development - EDUSO | 34 |
| 4 | Federal Commitment - Alianza Compromiso Federal | 30 |
| 5 | Popular Front - Frente Popular | 22 |
| 6 | Left Front - Frente de Izquierda | 16 |
| 7 | Civic Coalition | 12 |
| 96 | Blank or invalid ballot | 37 |
| 0 | NAP (Code 0, 2 in VOTE_LE) | 147 |
| 97 | Refused | 82 |
| 99 | No answer | 99 |
| 990 | NAP, other countries | 60777 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 649 | 61105 | 1 | 96 |
Valid range from 1 to 96
AT_PRTY Country specific party voted for in last general election: Austria
| Value 204217 | Frequency | |
|---|---|---|
| 1 | Austrian Peoples's Party - OEVP | 277 |
| 2 | Austrian Social Democratic Party - SPOE | 252 |
| 3 | Austrian Freedom Party - FPOE | 154 |
| 4 | Green Party - GRUENE | 123 |
| 5 | Conferederation for the Future of Austria - BZOE | 8 |
| 6 | Team Stronach | 42 |
| 7 | NEOS | 21 |
| 95 | Other party | 36 |
| 0 | NAP (Code 0, 2 in VOTE_LE) | 156 |
| 99 | No answer, refused | 113 |
| 990 | NAP, other countries | 60572 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 913 | 60841 |
Valid range from 1 to 95
AU_PRTY Country specific party voted for in last general election: Australia
| Value 205216 | Frequency | |
|---|---|---|
| 1 | Liberal Party of Australia | 581 |
| 2 | Australian Labor Party - ALP | 549 |
| 3 | National Party of Australia - NPA | 43 |
| 4 | Australian Democrats | 4 |
| 5 | The Greens | 151 |
| 6 | One Nation | 17 |
| 7 | Family First Party | 18 |
| 95 | Other Party | 25 |
| 96 | Invalid ballot | 8 |
| 0 | NAP (did not vote) | 74 |
| 97 | Refused | 4 |
| 99 | No answer | 138 |
| 990 | NAP, other countries | 60142 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1396 | 60358 |
Valid range from 1 to 96
BE_PRTY Country specific party voted for in last general election: Belgium
| Value 206215 | Frequency | |
|---|---|---|
| 1 | Christian Democrats Flemish - CD&V | 214 |
| 2 | Green Party Flemish - Groen | 84 |
| 3 | List Dedecker - Ljst Dedecker | 6 |
| 4 | National Flemish Alliance - N-VA | 275 |
| 5 | Flemish Liberals and Democrats - Open VLD | 107 |
| 6 | Socialist Party Flemish - SP.a | 144 |
| 7 | Flemish Interest - Vlaams Belang | 55 |
| 8 | Green Party Francophone - Ecolo | 127 |
| 9 | Christian Democrats Francophone - CDH | 90 |
| 10 | Socialist Party Francophone - PS | 234 |
| 11 | Reformist Movement Francophone - MR | 199 |
| 12 | Popular Party - Parti Populaire | 13 |
| 95 | Other party | 49 |
| 96 | Invalid ballot, vote blank | 87 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 337 |
| 99 | No answer | 181 |
| 990 | NAP, other countries | 59552 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1684 | 60070 | 1 | 96 |
Valid range from 1 to 96
BG_PRTY Country specific party voted for in last general election: Bulgaria
| Value 207214 | Frequency | |
|---|---|---|
| 1 | Citizens for European Development of Bulgaria - GERB | 288 |
| 2 | Coalition for Bulgaria - BSP, PBS | 174 |
| 3 | Movement for Rights and Freedom - DPS | 69 |
| 4 | Blue Coalition - SDS, DSB | 39 |
| 5 | National Union Attack | 25 |
| 6 | Order, Law and Justice - RZS | 5 |
| 7 | National Movement for Stability and Progress - NDSV | 8 |
| 8 | Liberal Initiative for Democratic European Development | 7 |
| 11 | The Greens - PP | 2 |
| 15 | Balgarski Natsionalen Sayuz - ND | 2 |
| 17 | Independent Candidate | 1 |
| 95 | Other party | 3 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 271 |
| 97 | Refused | 93 |
| 99 | No answer | 16 |
| 990 | NAP, other countries | 60751 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 623 | 61131 | 1 | 95 |
Valid range from 1 to 95
CA_PRTY Country specific party voted for in last general election: Canada
| Value 208213 | Frequency | |
|---|---|---|
| 1 | Conservative | 264 |
| 2 | Liberal | 207 |
| 3 | New Democrat | 150 |
| 4 | Bloc Quebecois | 30 |
| 5 | Green Party | 25 |
| 95 | Other party | 17 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 149 |
| 99 | No answer, refused | 130 |
| 990 | NAP, other countries | 60782 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 693 | 61061 | 1 | 95 |
Valid range from 1 to 95
CH_PRTY Country specific party voted for in last general election: Switzerland
| Value 209212 | Frequency | |
|---|---|---|
| 1 | The Liberals - FDP/PLR - FDP | 84 |
| 2 | Christian Democratic Party - CVP/PPD | 63 |
| 3 | Social Democratic Party - SP/PS | 110 |
| 4 | Swiss People's Party - SVP/ UDC | 122 |
| 5 | Conservative-democratic Party - BDP/PBD | 18 |
| 6 | Evangelical Party - EVP/PEV | 4 |
| 7 | Christian Social Party - CSP/PCS | 2 |
| 8 | Labour Party - PdA/PST-POP/PSdL-PST | 3 |
| 9 | Green Party - GPS/PES/IVERDI | 48 |
| 10 | Green Liberal Party - GLP/PVL | 27 |
| 11 | Swiss Democrats - SD | 0 |
| 12 | Federal Democratic Union - EDU/UDF | 2 |
| 13 | Lega dei Ticinesi - Lega | 2 |
| 14 | Movement of the citizens of French-speaking Switzerland - MC | 1 |
| 94 | Mixed vote (Candidates of several lists) | 66 |
| 95 | Other Party | 5 |
| 96 | Invalid ballot | 5 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 535 |
| 98 | Don't know | 68 |
| 99 | No answer | 72 |
| 990 | NAP, other countries | 60517 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 562 | 61192 |
Valid range from 1 to 96
CL_PRTY Country specific party voted for in last general election: Chile
| Value 210211 | Frequency | |
|---|---|---|
| 990 | Not available; NAP, other countries | 61754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 61754 |
CN_PRTY Country specific party affiliation: China
| Value 211210 | Frequency | |
|---|---|---|
| 1 | Communist Party | 715 |
| 2 | National Party | 3 |
| 3 | Communist Youth League | 229 |
| 96 | No party affiliation | 4981 |
| 97 | Refused | 18 |
| 990 | NAP, other countries | 55808 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 5928 | 55826 |
Valid range from 1 to 96
CZ_PRTY Country specific party voted for in last general election: Czech Republic
| Value 212209 | Frequency | |
|---|---|---|
| 1 | Czech Pirate Party - Pirati | 15 |
| 2 | Czech National Socialist Party | 11 |
| 3 | Czech National Social Party - CSNS | 4 |
| 4 | Czech Social Democratic Party - CSSD | 272 |
| 5 | Workers Party of Social Justice - DSSS | 10 |
| 6 | European center - ES | 3 |
| 7 | Humanism Party - HS | 5 |
| 9 | Crucial movement - KH | 1 |
| 10 | Communist Party of Bohemia and Moravia - KSCM | 98 |
| 11 | Conservative Party - KONS | 11 |
| 12 | Czech Crown (monarchistic party of Bohemia, Moravia and Sile | 1 |
| 13 | Christian Democratic Party-Czech Peoples Party - KDU-CSL | 39 |
| 14 | Liberalove.cz | 1 |
| 16 | National perspective | 2 |
| 18 | Civic Democratic Party - ODS | 225 |
| 20 | STOP | 1 |
| 21 | Party of Citizens' Rights - Zemanovci - SPOZ | 35 |
| 22 | Party of Free Citizens - SvobodnĂ | 4 |
| 23 | Green Party - SZ | 24 |
| 24 | Sovereignty, Bobosikova block, Party of Common Sense - SUVER | 4 |
| 25 | TOP 09 | 102 |
| 26 | Public Issues - VV | 62 |
| 95 | Other Party | 1 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 681 |
| 97 | Refused | 93 |
| 99 | No answer | 99 |
| 990 | NAP, other countries | 59950 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 931 | 60823 | 1 | 95 |
Valid range from 1 to 95
DE_PRTY Country specific party voted for in last general election: Germany
| Value 213208 | Frequency | |
|---|---|---|
| 1 | Christian Democratic Union/ Christian Social Union - CDU/CSU | 373 |
| 2 | Social Democratic Party of Germany - SPD | 302 |
| 3 | Free Democratic Party - FDP | 106 |
| 4 | The Left - Die Linke | 97 |
| 5 | Alliance 90/ The Greens - Buendnis 90/ Die Gruenen | 160 |
| 6 | Pirate Party - Piratenpartei | 11 |
| 7 | National-Democratic Party of Germany - NPD | 10 |
| 95 | Other Party | 8 |
| 96 | Invalid ballot | 16 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 485 |
| 97 | Refused | 186 |
| 99 | No answer | 12 |
| 990 | NAP, other countries | 59988 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1083 | 60671 |
Valid range from 1 to 96
DK_PRTY Country specific party voted for in last general election: Denmark
| Value 214207 | Frequency | |
|---|---|---|
| 1 | Social Democratic Party - SD | 268 |
| 2 | Radical Liberal Party - RV | 114 |
| 3 | Conservative People's Party - KP | 54 |
| 4 | Socialist People's Party - SF | 131 |
| 5 | Christian People's Party - KRF | 7 |
| 6 | Danish People's Party - DF | 90 |
| 7 | Liberal Party - V | 337 |
| 8 | New Alliance - NA | 66 |
| 9 | Leftwing Alliance - EL | 78 |
| 95 | Other Party | 3 |
| 96 | Invalid ballot | 17 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 176 |
| 98 | Don't know, don't remember | 62 |
| 990 | NAP, other countries | 60351 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1165 | 60589 |
Valid range from 1 to 96
ES_PRTY Country specific party voted for in last general election: Spain
| Value 215206 | Frequency | |
|---|---|---|
| 1 | Popular Party - PP | 649 |
| 2 | Spanish Socialist Workers Party - PSOE | 523 |
| 3 | United Left: Spanish Communist Party, Catalonia Greens - IU, | 114 |
| 4 | Union Progress and Democracy - UPyD | 64 |
| 5 | Catalonian-nationalist parties - CIU | 66 |
| 6 | Basque Nationalist Left - Amaiur | 24 |
| 7 | Basque Nationalist party - PNV | 22 |
| 8 | Republican Catalonian Left - ERC | 15 |
| 9 | Galician Nationalist Party - BNG | 10 |
| 10 | Canary Island Coalition Party - CC | 4 |
| 11 | Valencian Nationalist Left and Ecologists - CompromĂs-Equo | 18 |
| 12 | Asturias Forum (Regionalist Right) - FAC | 2 |
| 13 | Basque Nationalist Party Coalition Future-Yes - Geroa-Bai | 3 |
| 94 | Blank vote | 68 |
| 95 | Other Party | 37 |
| 96 | Invalid ballot | 13 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 601 |
| 99 | No answer | 362 |
| 990 | NAP, other countries | 59159 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1632 | 60122 |
Valid range from 1 to 96
FI_PRTY Country specific party voted for in last general election: Finland
| Value 216205 | Frequency | |
|---|---|---|
| 1 | Social Democratic Party - SDP | 156 |
| 2 | Centre Party of Finland - KESK | 115 |
| 3 | National Coalition Party - KOK | 194 |
| 4 | Left Alliance - VAS | 48 |
| 5 | Swedish People's Party - SFP/RKP | 29 |
| 6 | Green League - VIHR | 96 |
| 7 | Christian Democrats - KD | 29 |
| 8 | True Finns - PS | 129 |
| 95 | Other Party | 9 |
| 96 | Invalid ballot, can't say | 14 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 224 |
| 97 | Refused | 104 |
| 99 | No answer | 24 |
| 990 | NAP, other countries | 60583 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 819 | 60935 |
Valid range from 1 to 96
FR_PRTY Country specific party voted for in last general election: France
| Value 217204 | Frequency | |
|---|---|---|
| 1 | Worker's Struggle - LO - Nathalie Arthaud, far left | 12 |
| 2 | New Anticapitalist Party - NPA - Philippe Poutou | 26 |
| 3 | Left Front - FG - Jean-Luc MĂ©lenchon | 202 |
| 4 | Socialist Party - PS - Francois Hollande | 576 |
| 5 | Green Party - EELV - Eva Joly | 44 |
| 6 | Democratic Movement - MoDem - François Bayrou | 160 |
| 7 | Union for a Popular Movement - UMP - Nicolas Sarkozy | 494 |
| 8 | Arise the Republic - DLR - Nicolas Dupont-Aignan | 31 |
| 9 | National front - FN - Marine Le Pen | 190 |
| 10 | Solidarity and Progress - Jacques Cheminade | 1 |
| 96 | Invalid ballot | 97 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 218 |
| 99 | No answer | 358 |
| 990 | NAP, other countries | 59345 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1833 | 59921 |
Valid range from 1 to 96
GB_PRTY Country specific party supporting in next general election: Great Britain
| Value 218203 | Frequency | |
|---|---|---|
| 1 | Conservative Party - CONS | 270 |
| 2 | Labour Party - LAB | 312 |
| 3 | Liberal Democrats - SLD | 72 |
| 6 | Scottish National Party - SNP | 23 |
| 7 | Plaid Cymru - PC | 3 |
| 8 | Green Party | 11 |
| 93 | Other answer | 8 |
| 95 | Other Party: UKIP, BNP/NF, Scottish Socialist/Respect/Social | 27 |
| 96 | None | 162 |
| 0 | NAP (not close to any party) | 44 |
| 97 | Refused | 18 |
| 990 | NAP, other countries | 60804 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 888 | 60866 | 1 | 96 |
Valid range from 1 to 96
HR_PRTY Country specific party voted for in last general election: Croatia
| Value 219202 | Frequency | |
|---|---|---|
| 1 | Croatian Democratic Union (Conservative) - HDZ | 141 |
| 2 | Social Democratic Party (Social-Democrat) - SDP | 159 |
| 3 | Croatian Party of Rights (Right, Conservative) - HSP | 18 |
| 4 | Croatian Peasant Party (Center) - HSS | 7 |
| 5 | Croatian People's Party (Center) - HNS | 16 |
| 6 | Croatian Social Liberal Party (Liberal) - HSLS | 8 |
| 7 | Istrian Democratic Assembly (Regional) - IDS | 3 |
| 8 | Croatian Party of Pensioners - HSU | 13 |
| 9 | Croatian Democratic Union of Slavonija and Baranja - HDSSB | 10 |
| 95 | Other Party | 66 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 307 |
| 97 | Refused | 206 |
| 99 | No answer | 46 |
| 990 | NAP, other countries | 60754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 441 | 61313 |
Valid range from 1 to 95
HU_PRTY Country specific party voted for in last general election: Hungary
| Value 220201 | Frequency | |
|---|---|---|
| 1 | Hungarian Socialist Party - MSZP | 138 |
| 2 | Hungarian Civic Union - Christian Democratic People's Party | 356 |
| 3 | Movement for a Better Hungary - Jobbik Magyarorszagert Mozga | 54 |
| 4 | Politics can Be Different - LMP | 30 |
| 5 | Hungarian Democratic Forum - MDF | 1 |
| 95 | Other Party | 2 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 161 |
| 97 | Refused | 184 |
| 99 | No answer | 86 |
| 990 | NAP, other countries | 60742 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 581 | 61173 | 1 | 95 |
Valid range from 1 to 95
IE_PRTY Country specific party voted for in last general election: Ireland
| Value 221200 | Frequency | |
|---|---|---|
| 1 | Family of the Irish - FG | 357 |
| 2 | Labour Party - LAB | 125 |
| 3 | The Republican Party - FF | 143 |
| 4 | We ourselves - SF | 55 |
| 5 | Socialist Party | 3 |
| 6 | People Before Profit | 7 |
| 7 | WUAG | 1 |
| 8 | Green Party - GP | 10 |
| 9 | South Kerry - Independent Party | 1 |
| 10 | Worker's Party | 0 |
| 11 | Christian Solidarity | 3 |
| 12 | FĂs Nua | 0 |
| 13 | Independent | 60 |
| 95 | Other - Multiple parties selected | 182 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 232 |
| 97 | Refused | 2 |
| 99 | No answer | 34 |
| 990 | NAP, other countries | 60539 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 947 | 60807 |
Valid range from 1 to 95
IL_PRTY Country specific party voted for in last general election: Israel
| Value 222199 | Frequency | |
|---|---|---|
| 1 | Haavoda | 91 |
| 2 | Likud | 219 |
| 3 | Kadima | 123 |
| 4 | Shase | 44 |
| 5 | Meretz | 19 |
| 6 | Mafdal | 13 |
| 7 | Yahadut-hatora | 32 |
| 8 | Israel Beteno | 50 |
| 9 | Haehud Halumi | 12 |
| 10 | Hayerukim | 4 |
| 11 | Hatnua Hayeruka-Memad | 10 |
| 12 | ale yarok | 6 |
| 13 | Gimlaim | 4 |
| 14 | Haadash | 10 |
| 15 | Balad | 12 |
| 16 | Raam, Taal | 26 |
| 95 | Other party | 7 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 318 |
| 97 | Refused | 129 |
| 99 | No answer | 91 |
| 990 | NAP, other countries | 60534 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 682 | 61072 |
Valid range from 1 to 95
IN_PRTY Country specific party voted for in last general election: India
| Value 223198 | Frequency | |
|---|---|---|
| 1 | INC+ | 367 |
| 2 | BJP+ | 353 |
| 3 | Left front/ Communist Party | 66 |
| 4 | Third front | 59 |
| 5 | Regional Party | 182 |
| 95 | Other Party | 43 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 378 |
| 98 | Can't say | 212 |
| 990 | NAP, other countries | 60094 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1070 | 60684 | 1 | 95 |
Valid range from 1 to 95
IS_PRTY Country specific party voted for in last general election: Iceland
| Value 224197 | Frequency | |
|---|---|---|
| 1 | Social Democratic Alliance | 121 |
| 2 | Progressive Party | 185 |
| 3 | Independence Party | 231 |
| 4 | Left - Green Movement | 99 |
| 5 | Bright Future | 74 |
| 6 | Pirate Party | 50 |
| 7 | Dawn | 18 |
| 8 | Democracy Watch | 14 |
| 10 | Right - Green People's | 9 |
| 13 | Rainbow | 6 |
| 14 | Households Party | 21 |
| 96 | Invalid ballot, can't say | 17 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 194 |
| 97 | Refused | 10 |
| 99 | No answer | 123 |
| 990 | NAP, other countries | 60582 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 845 | 60909 |
Valid range from 1 to 96
JP_PRTY Country specific party voted for in last general election: Japan
| Value 225196 | Frequency | |
|---|---|---|
| 1 | Democratic Party of Japan - DPJ | 397 |
| 2 | Liberal Democratic Party - LDP | 257 |
| 3 | New Komeito - New Clean Government Party | 44 |
| 4 | Your Party | 32 |
| 5 | Japanese Communist Party - JCP | 32 |
| 6 | Social Democratic Party - SDPJ | 13 |
| 95 | Other Party | 23 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 366 |
| 99 | No answer | 48 |
| 990 | NAP, other countries | 60542 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 798 | 60956 |
Valid range from 1 to 95
KR_PRTY Country specific party voted for in last general election: Korea (South)
| Value 226195 | Frequency | |
|---|---|---|
| 1 | Saenuri Party | 447 |
| 2 | Democratic United Party | 376 |
| 3 | Unified Progressive Party | 62 |
| 4 | Advancement and Unification Party | 13 |
| 5 | Democratic Party | 3 |
| 6 | Labour Party | 7 |
| 7 | People Happiness Party | 1 |
| 8 | Korea Vision Party | 3 |
| 95 | Other party | 15 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 414 |
| 98 | Don't know | 55 |
| 990 | NAP, other countries | 60358 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 927 | 60827 | 1 | 95 |
Valid range from 1 to 95
LT_PRTY Country specific party voted for in last general election: Lithuania
| Value 227194 | Frequency | |
|---|---|---|
| 1 | Labour Party - DP | 185 |
| 2 | Christian Party - KP | 20 |
| 3 | Liberal and Centre Union - LiCS | 32 |
| 4 | Electoral Action of Lithuanian Poles - LLRA | 42 |
| 5 | Liberal Movement of Lithuanian Republic - LRLS | 45 |
| 6 | Lithuanian Social Democratic Party - LSDP | 212 |
| 7 | Lithuanian Peasants and Greens Union - LVŽS | 34 |
| 8 | Party 'Order and Justice' - TT | 68 |
| 9 | Political Party 'The Way of Courage' - DK | 26 |
| 10 | Political Party 'Union Yes' - TAIP | 2 |
| 11 | Socialist People's Front - SLF | 2 |
| 12 | Homeland Union – Lithuanian Christian Democrats-TS-LKD | 74 |
| 95 | Other | 1 |
| 96 | Invalid ballot | 7 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 377 |
| 97 | Refused | 60 |
| 990 | NAP, other countries | 60567 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 750 | 61004 |
Valid range from 1 to 96
LV_PRTY Country specific party voted for in last general election: Latvia
| Value 228193 | Frequency | |
|---|---|---|
| 1 | Unity - V | 119 |
| 2 | Latvian Social Democratic Workers Party - LSDSP | 7 |
| 3 | Zatlers' Reform Party - ZRP | 31 |
| 4 | Christian Democratic Union - KDS | 3 |
| 5 | Šlesers’ Reform Party - LPP/LC (Latvias First Party, Latv | 6 |
| 6 | Alliance of Political Parties 'Harmony Centre' - SC | 102 |
| 7 | For Human Rights in United Latvia - PCTVL | 5 |
| 8 | National Alliance 'All For Latvia!' – 'For Fatherland and | 38 |
| 11 | The Union of Greens and Farmers - ZZS | 84 |
| 12 | People's Control - Tautas kontrole | 1 |
| 13 | Freedom, Free from Fear, Hate and Anger | 2 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 397 |
| 97 | Refused | 74 |
| 99 | No answer | 131 |
| 990 | NAP, other countries | 60754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 398 | 61356 |
Valid range from 1 to 13
MX_PRTY Country specific party voted for in last general election: Mexico
| Value 229192 | Frequency | |
|---|---|---|
| 1 | National Action Party - PAN | 241 |
| 2 | Institutional Revolutionary Party - PRI | 525 |
| 3 | Democratic Revolution Party - PRD | 134 |
| 4 | Labour Party - PT | 26 |
| 5 | Environmentalist Green Party - PVEM | 11 |
| 6 | Convergence - CS | 11 |
| 7 | Citizen Movement - MC | 9 |
| 8 | New Alliance Party - PANAL | 18 |
| 95 | Other Party | 17 |
| 96 | Invalid ballot | 11 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 425 |
| 97 | Refused | 66 |
| 99 | No answer | 33 |
| 990 | NAP, other countries | 60227 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 60751 | 1 | 96 |
Valid range from 1 to 96
NL_PRTY Country specific party voted for in last general election: Netherlands
| Value 230191 | Frequency | |
|---|---|---|
| 1 | Liberal’ Conservative - VVD | 285 |
| 2 | Social Democrats - PvdA | 313 |
| 3 | Wilders' Party - PVV | 59 |
| 4 | Christian Democrats - CDA | 109 |
| 5 | Socialists - SP | 98 |
| 6 | 'Liberal' Democrats - D66 | 106 |
| 7 | Green - GroenLinks | 49 |
| 8 | Christian [Protestant] Party - ChristenUnie | 35 |
| 9 | Orthodox Protestant Party - SGP | 26 |
| 10 | Animal Rights Party - Partij voor de Dieren | 16 |
| 11 | Pensioners Party - 50 Plus | 32 |
| 95 | Other party, specify | 19 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 121 |
| 99 | No answer | 47 |
| 990 | NAP, other countries | 60439 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1147 | 60607 |
Valid range from 1 to 95
NO_PRTY Country specific party voted for in last general election: Norway
| Value 231190 | Frequency | |
|---|---|---|
| 1 | Red Electoral Alliance | 23 |
| 2 | Labour Party - DNA | 446 |
| 3 | Progress Party - FRP | 139 |
| 4 | Conservative Party - H | 289 |
| 5 | Christian Democratic Party - KrF | 72 |
| 6 | Centre Party - SP | 62 |
| 7 | Socialist Left - SV | 73 |
| 8 | Liberal Party - V | 56 |
| 95 | Other Party | 13 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 179 |
| 98 | Don't remember | 60 |
| 99 | No answer | 32 |
| 990 | NAP, other countries | 60310 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1173 | 60581 |
Valid range from 1 to 95
PH_PRTY Country specific party voted for in last general election: Philippines
| Value 232189 | Frequency | |
|---|---|---|
| 1 | Nationalist Peoples Coalition - NPC | 1 |
| 2 | Liberal Party - LP | 242 |
| 5 | LAKAS-NUCD-UMDP Party | 25 |
| 18 | Philippine Democratic Party - PDP-LABAN | 17 |
| 19 | Partido NG Masang Pilipino - PMP | 23 |
| 33 | Nacionalista Party - NP | 36 |
| 48 | Citizens Action Party, Akbayan | 16 |
| 74 | Bayan Muna | 6 |
| 81 | Buhay Hayaan Yumabong - BUHAY | 3 |
| 85 | Gabriela | 2 |
| 89 | Kilusang Bagong Lipunan - KBL | 1 |
| 94 | No particular party, but special leaders (individual-related | 306 |
| 95 | Other Party | 67 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 229 |
| 97 | Refused | 6 |
| 98 | Don't know | 220 |
| 990 | NAP, other countries | 60554 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 745 | 61009 |
Valid range from 1 to 95
PL_PRTY Country specific party voted for in last general election: Poland
| Value 233188 | Frequency | |
|---|---|---|
| 1 | Law and Justice Party - PIS | 200 |
| 2 | Poland Comes First - PJN | 9 |
| 3 | Democratic Left Alliance - SLD | 39 |
| 4 | Palikot's Movement - Ruch Palikota | 19 |
| 5 | Polish Peasants Party - PSL | 36 |
| 6 | Polish Labour Party (Sierpien 80) - Polska Partia Pracy | 2 |
| 7 | Civic Platform of Republic of Poland - PO | 255 |
| 8 | Our Home Poland - Andrzej Lepper's Self-defense | 2 |
| 9 | Janusz Korwin - Mikke New Right - Nowa Prawica | 4 |
| 10 | Right Wing - Prawica | 2 |
| 95 | Other Party | 26 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 378 |
| 97 | Refused | 59 |
| 99 | No answer | 84 |
| 990 | NAP, other countries | 60639 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 594 | 61160 | 1 | 95 |
Valid range from 1 to 95
PT_PRTY Country specific party voted for in last general election: Portugal
| Value 234187 | Frequency | |
|---|---|---|
| 1 | Left Bloc - BE, Bloco de Esquerda | 18 |
| 2 | Democratic and Social Centre - Peoples Party - CDS-PP | 21 |
| 3 | Democratic Unity Coalition (Communist party, Ecologist Party | 39 |
| 4 | Reorganizative Movement of the Party of the Proletariat - MR | 2 |
| 5 | Social Democratic Party - PPD-PSD | 113 |
| 6 | Socialist Party - PS | 136 |
| 95 | Other Party | 16 |
| 96 | Invalid ballot | 15 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 444 |
| 97 | Refused | 165 |
| 99 | No answer | 32 |
| 990 | NAP, other countries | 60753 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 360 | 61394 |
Valid range from 1 to 96
RU_PRTY Country specific party voted for in last general election: Russia
| Value 235186 | Frequency | |
|---|---|---|
| 990 | Not available; NAP, other countries | 61754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 61754 |
SE_PRTY Country specific party voted for in last general election: Sweden
| Value 236185 | Frequency | |
|---|---|---|
| 1 | Centre Party - C | 45 |
| 2 | Liberal Party - FP | 55 |
| 3 | Christian Democrats - KD | 43 |
| 4 | Green Party - MP | 70 |
| 5 | Conservative Party - M | 292 |
| 6 | Social Democratic Party - S | 294 |
| 7 | Sweden Democrats - SD | 32 |
| 8 | Left Party - V | 53 |
| 95 | Other Party | 20 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 115 |
| 99 | No answer | 41 |
| 990 | NAP, other countries | 60694 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 904 | 60850 |
Valid range from 1 to 95
SI_PRTY Country specific party voted for in last general election: Slovenia
| Value 237184 | Frequency | |
|---|---|---|
| 1 | Democratic Party of Slovenian Pensioners - DESUS | 31 |
| 2 | Liberal Democrats - LDS | 8 |
| 3 | Slovenian People's Party - SLS | 26 |
| 4 | Slovenian National Party - SNS | 11 |
| 5 | Slovenian Democratic Party - SDS | 165 |
| 6 | New Slovenia - NSI | 25 |
| 7 | Social Democrats - SD | 89 |
| 8 | New Politics - ZARES | 3 |
| 9 | Positive Slovenia - PS | 167 |
| 10 | Gregor Virant's Citizens' List - DLGV | 33 |
| 95 | Other parties or lists (not specified) | 13 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 266 |
| 99 | No answer | 197 |
| 990 | NAP, other countries | 60720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 571 | 61183 |
Valid range from 1 to 95
SK_PRTY Country specific party voted for in last general election: Slovakia
| Value 238183 | Frequency | |
|---|---|---|
| 1 | Christian Democratic Movement - KDH | 79 |
| 2 | Movement for Democratic Slovakia, Peoples Party - L'S-HZDS | 12 |
| 3 | Peoples party - our Slovakia - LS | 6 |
| 4 | Party of Cooperation - MOST - HĂŤD | 39 |
| 5 | Ordinary people and independent personalities - OLaNO | 29 |
| 6 | Freedom and Solidarity - SaS | 52 |
| 7 | Slovak Democratic Christian Union - Democratic Party - SDKU- | 57 |
| 8 | Slovak National Party - SNS | 20 |
| 9 | Social Democracy - SMER-SD - SMER | 362 |
| 10 | Party of Hungarian Coalition - SMK | 18 |
| 11 | Free word party of Nora Mojsejova | 2 |
| 12 | Change from below - DĂš | 1 |
| 13 | 99% | 4 |
| 14 | Other Party - Communist party - KSS | 4 |
| 95 | Other Party | 4 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 257 |
| 98 | Don't know | 12 |
| 99 | No answer | 170 |
| 990 | NAP, other countries | 60626 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 689 | 61065 | 1 | 95 |
Valid range from 1 to 95
TR_PRTY Country specific party voted for in last general election: Turkey
| Value 239182 | Frequency | |
|---|---|---|
| 1 | Justice and development Party - AKP | 788 |
| 3 | Grand Union Party - BBP | 13 |
| 4 | Republican People's Party - CHP | 234 |
| 5 | Democratic Society Party - DTP | 35 |
| 7 | Democratic Party - Truth Party - DP-DYP | 3 |
| 9 | Nationalist Action Party - MHP | 115 |
| 10 | Felicity Party - SP | 14 |
| 13 | Independents | 7 |
| 95 | Other parties | 11 |
| 96 | Invalid ballot | 23 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 175 |
| 99 | No answer | 202 |
| 990 | NAP, other countries | 60134 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1243 | 60511 |
Valid range from 1 to 96
TW_PRTY Country specific party voted for in last general election: Taiwan
| Value 240181 | Frequency | |
|---|---|---|
| 1 | Kuo Min Tang - KMT | 866 |
| 2 | Democratic Progressive Party - DPP | 581 |
| 3 | People First Party - PFP | 52 |
| 96 | Invalid ballot | 28 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 545 |
| 990 | NAP, other countries | 59682 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1527 | 60227 |
Valid range from 1 to 96
US_PRTY Country specific party voted for in last general election: United States
| Value 241180 | Frequency | |
|---|---|---|
| 2 | Democrat | 507 |
| 6 | Republican | 292 |
| 96 | Invalid ballot | 74 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 429 |
| 990 | NAP, other countries | 60452 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 873 | 60881 |
Valid range from 2 to 96
VE_PRTY Country specific party voted for in last general election: Venezuela
| Value 242179 | Frequency | |
|---|---|---|
| 1 | Democratic Action - AD (Social Democrat) | 16 |
| 2 | Social Christian Party - Copei (Conservative) | 13 |
| 3 | Movement Toward Socialism - MAS (Center left) | 2 |
| 4 | Revolutionary Cause - Cause R (Left) | 4 |
| 5 | Homeland for All - PPT (Left) | 51 |
| 6 | A New Time - UNT (Social Democrat) | 41 |
| 7 | First Justice - PJ (Liberal) | 131 |
| 8 | Project Venezuela - PV (Liberal) | 4 |
| 10 | We Can - PODEMOS (Left) | 2 |
| 11 | TUPAMAROS (Left) | 5 |
| 12 | United Socialist Party of Venezuela - PSUV (Left) | 362 |
| 13 | Popular Will - VP (Left) | 10 |
| 95 | Other Party | 74 |
| 96 | Invalid ballot | 106 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 167 |
| 99 | No answer | 9 |
| 990 | NAP, other countries | 60757 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 821 | 60933 |
Valid range from 1 to 96
ZA_PRTY Country specific party voted for in last general election: South Africa
| Value 243178 | Frequency | |
|---|---|---|
| 1 | African Christian Democratic Party - ACDP | 10 |
| 2 | African National Congress - ANC | 1221 |
| 3 | Azanian Peoples organization - AZAPO | 4 |
| 4 | Democratic Party/ Alliance - DA/ DP | 373 |
| 5 | Freedom Front - FF/ VF, Vryheidsfront | 11 |
| 6 | Independent Democrats - ID | 7 |
| 7 | Inkatha Freedom Party - IFP | 27 |
| 8 | Minority Front - MF | 21 |
| 9 | Pan-Africanist Congress - PAC | 4 |
| 10 | United Christian Democratic Party - UCDP | 5 |
| 12 | Congress of the People - COPE | 13 |
| 95 | Other Party | 4 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 598 |
| 97 | Refused | 188 |
| 98 | Don't know | 24 |
| 99 | No answer | 37 |
| 990 | NAP, other countries | 59207 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1700 | 60054 |
Valid range from 1 to 95
PARTY_LR Party voted for in last general election: left-right (derived from nat_PRTY)
| Value 244177 | Frequency | |
|---|---|---|
| 1 | Far left (communist etc.) | 1635 |
| 2 | Left, center left | 9284 |
| 3 | Center, liberal | 8041 |
| 4 | Right, conservative | 8972 |
| 5 | Far right (fascist etc.) | 794 |
| 6 | Other | 1354 |
| 7 | None | 162 |
| 94 | PH: No particular party, but special leaders (individual-rel | 306 |
| 96 | Invalid ballot | 399 |
| 0 | NAP (Code 0,2,7 in VOTE_LE); GB: code 0 in GB_PRTY; not avai | 25461 |
| 97 | Refused | 1600 |
| 98 | Insufficient information to code into scheme, NO: don't reme | 838 |
| 99 | No answer | 2908 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 30947 | 30807 | 1 | 96 |
Valid range from 1 to 96
AR_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Argentina
| Value 245176 | Frequency | |
|---|---|---|
| 1 | Argentine family background - migration | 581 |
| 2 | Italo-Spanish and other European family background - migrati | 176 |
| 3 | Latinamerican family background - migration | 93 |
| 8 | Other national family background - migration | 34 |
| 0 | NAP, other countries | 60777 |
| 99 | No answer | 93 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 884 | 60870 | 1 | 8 |
Valid range from 1 to 8
AT_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Austria
| Value 246175 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 61754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 61754 |
AU_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Australia
| Value 247174 | Frequency | |
|---|---|---|
| 1 | AU born: + Both parents also AU born | 880 |
| 2 | AU born: 1 or 2 parents born in English-speaking country | 152 |
| 3 | AU born: 1 or 2 parents born in non-English-speaking country | 154 |
| 4 | Born in English-speaking country | 179 |
| 5 | Born in non-English-speaking country | 200 |
| 6 | Aboriginal or Torres Strait Islander | 26 |
| 0 | NAP, other countries | 60142 |
| 99 | No answer | 21 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1591 | 60163 |
Valid range from 1 to 6
BE_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Belgium
| Value 248173 | Frequency | |
|---|---|---|
| 1 | Belgians | 500 |
| 2 | Flemings | 267 |
| 3 | Walloons | 24 |
| 4 | Brussels | 69 |
| 5 | Other group | 28 |
| 6 | Belgians-Flemings | 472 |
| 7 | Belgians-Walloons | 349 |
| 8 | Belgians-Brussels | 274 |
| 9 | Belgians-Other group | 60 |
| 10 | Flemings-Walloons | 16 |
| 11 | Flemings-Brussels | 9 |
| 12 | Flemings-Other group | 6 |
| 13 | Walloons-Brussels | 16 |
| 14 | Walloons-Other group | 2 |
| 15 | Brussels-Other group | 17 |
| 16 | Other group - Other group | 5 |
| 17 | Three groups or more | 50 |
| 0 | NAP, other countries | 59552 |
| 99 | No answer | 38 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2164 | 59590 | 1 | 17 |
Valid range from 1 to 17
BG_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Bulgaria
| Value 249172 | Frequency | |
|---|---|---|
| 1 | Bulgarian | 841 |
| 2 | Turk | 90 |
| 3 | Roma | 68 |
| 4 | Other | 4 |
| 0 | NAP, other countries | 60751 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 60751 | 1 | 4 |
Valid range from 1 to 4
CA_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Canada
| Value 250171 | Frequency | |
|---|---|---|
| 1 | French | 37 |
| 2 | English | 145 |
| 3 | German | 0 |
| 4 | Scottish | 98 |
| 5 | Irish | 56 |
| 6 | Other Western European | 55 |
| 7 | Other Eastern European | 44 |
| 8 | China/ South-East Asia | 26 |
| 9 | Africa | 2 |
| 10 | Carribean | 6 |
| 12 | Indian sub-continent | 4 |
| 13 | Other Middle East | 5 |
| 14 | Jewish | 5 |
| 15 | North American Indian | 21 |
| 16 | Metis | 4 |
| 17 | Inuit/ Eskimo | 1 |
| 18 | Canadian | 28 |
| 19 | French Canadian/ Acadian | 63 |
| 20 | European not specified | 43 |
| 21 | Caucasian not specified | 33 |
| 22 | White | 8 |
| 88 | Other | 3 |
| 0 | NAP, other countries | 60782 |
| 98 | Don't know | 2 |
| 99 | No answer, refused | 283 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 687 | 61067 |
Valid range from 1 to 88
CH_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Switzerland
| Value 251170 | Frequency | |
|---|---|---|
| 11 | Country from Northern Europe | 1 |
| 12 | Country from Eastern Europe | 3 |
| 13 | Country from Central Europe | 11 |
| 14 | Country from Western Europe | 10 |
| 15 | Country from Western Southern Europe | 26 |
| 16 | Country from Southern Europe | 5 |
| 17 | Country from Eastern Southern Europe | 35 |
| 21 | Country from Northern Africa | 1 |
| 22 | Country from Eastern Africa | 2 |
| 24 | Country from Western Africa | 1 |
| 25 | Country from Western Southern Africa | 1 |
| 26 | Country from Southern Africa | 1 |
| 27 | Country from Eastern Southern Africa | 1 |
| 31 | Country from Northern America | 2 |
| 32 | Country from Caribs | 1 |
| 33 | Country from Central America | 1 |
| 34 | Country from Western Southern America | 1 |
| 35 | Country from Southern America | 7 |
| 36 | Country from Eastern Southern America | 1 |
| 42 | Country from Eastern Asia | 2 |
| 44 | Country from Western Asia | 2 |
| 46 | Country from Southern Asia | 6 |
| 47 | Country from Eastern Southern Asia | 2 |
| 13276 | Germany | 39 |
| 13756 | Switzerland | 859 |
| 13757 | Switzerland and other nationality | 159 |
| 14250 | France | 11 |
| 16380 | Italy | 32 |
| 99995 | Two nationalities, non swiss | 13 |
| 99996 | Without citizenship | 1 |
| 0 | NAP, other countries | 60517 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1237 | 60517 | 11 | 99996 |
Valid range from 11 to 99996
CL_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Chile
| Value 252169 | Frequency | |
|---|---|---|
| 1 | Alacalufe (Kawashkar) | 0 |
| 2 | Atacameño | 4 |
| 3 | Aimara | 8 |
| 4 | Colla | 0 |
| 5 | Mapuche | 79 |
| 6 | Quechua | 1 |
| 7 | Rapa Nui | 0 |
| 8 | Yámana (Yagán) | 3 |
| 9 | None of the above | 1451 |
| 0 | NAP, other countries | 60190 |
| 99 | No answer | 18 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1546 | 60208 |
Valid range from 1 to 9
CN_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: China
| Value 253168 | Frequency | |
|---|---|---|
| 1 | Han | 5440 |
| 2 | Mongolian | 19 |
| 3 | Manchu | 39 |
| 4 | Hui | 127 |
| 5 | Tibetan | 2 |
| 6 | Zhuang | 68 |
| 7 | Uighur | 58 |
| 8 | Other | 188 |
| 0 | NAP, other countries | 55808 |
| 99 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 5941 | 55813 |
Valid range from 1 to 8
CZ_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Czech Republic
| Value 254167 | Frequency | |
|---|---|---|
| 1 | Czech | 1596 |
| 2 | Moravian | 144 |
| 3 | Silesian | 4 |
| 4 | Slovak | 30 |
| 5 | Polish | 3 |
| 6 | German | 1 |
| 7 | Roma | 9 |
| 9 | Hungarian | 1 |
| 10 | Vietnamese | 1 |
| 12 | Other | 1 |
| 0 | NAP, other countries | 59950 |
| 97 | Refused | 1 |
| 99 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1790 | 59964 |
Valid range from 1 to 12
DE_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Germany
| Value 255166 | Frequency | |
|---|---|---|
| 1 | Germany | 1636 |
| 2 | France | 7 |
| 3 | Greece | 2 |
| 4 | Great Britain | 3 |
| 5 | Italy | 8 |
| 6 | Former Yugoslavia, successor states | 17 |
| 7 | Netherlands | 3 |
| 8 | Austria | 2 |
| 9 | Poland | 10 |
| 10 | Portugal | 1 |
| 11 | Romania | 2 |
| 12 | Switzerland | 1 |
| 13 | Russia, former Soviet Union | 12 |
| 14 | Spain | 4 |
| 15 | Turkey | 19 |
| 17 | USA | 2 |
| 18 | Vietnam | 2 |
| 19 | Bulgaria | 2 |
| 20 | Finland | 1 |
| 21 | Chile | 1 |
| 22 | Iraq | 1 |
| 23 | Palestine | 1 |
| 24 | Syria | 1 |
| 25 | Bangladesh | 1 |
| 26 | Thailand | 1 |
| 27 | Malaysia | 1 |
| 29 | North Africa | 4 |
| 30 | Other African countries | 2 |
| 31 | Other citizenship | 1 |
| 96 | Multiple citizenship | 18 |
| 0 | NAP, other countries | 59988 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1766 | 59988 |
Valid range from 1 to 96
DK_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Denmark
| Value 256165 | Frequency | |
|---|---|---|
| 1 | Afghanistan | 5 |
| 21 | Bosnia-Herzegovina | 4 |
| 51 | Estonia | 1 |
| 54 | Philippines | 2 |
| 55 | Finland | 2 |
| 57 | France | 1 |
| 61 | Ghana | 1 |
| 70 | India | 1 |
| 72 | Iraq | 1 |
| 73 | Iran | 4 |
| 74 | Ireland | 1 |
| 75 | Iceland | 4 |
| 77 | Italy | 2 |
| 78 | Jamaica | 1 |
| 84 | China | 2 |
| 88 | Republic of Korea | 1 |
| 89 | Kosovo | 1 |
| 90 | Croatia | 1 |
| 94 | Latvia | 1 |
| 95 | Lebanon | 1 |
| 102 | Macedonia, the former Yugoslav Republic - FYROM | 2 |
| 121 | Netherlands | 4 |
| 127 | Norway | 5 |
| 129 | Pakistan | 3 |
| 134 | Peru | 1 |
| 135 | Poland | 4 |
| 138 | Romania | 1 |
| 147 | Serbia | 2 |
| 154 | Somalia | 3 |
| 155 | Spain | 2 |
| 156 | Sri Lanka | 2 |
| 160 | Great Britain and Northern Ireland | 1 |
| 163 | Sweden | 2 |
| 165 | South Africa | 1 |
| 166 | Syria | 1 |
| 170 | Thailand | 3 |
| 171 | Czech Republic | 1 |
| 178 | Turkey | 4 |
| 179 | Germany | 5 |
| 181 | Ukraine | 3 |
| 189 | Vietnam | 6 |
| 196 | Faeroe Islands | 4 |
| 197 | Greenland | 1 |
| 198 | Denmark | 1304 |
| 0 | NAP, other countries | 60351 |
| 999 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1402 | 60352 | 1 | 198 |
Valid range from 1 to 198
ES_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Spain
| Value 257164 | Frequency | |
|---|---|---|
| 1 | Spain | 2367 |
| 2 | Belgium | 2 |
| 3 | Bulgaria | 6 |
| 4 | Denmark | 1 |
| 5 | France | 12 |
| 6 | Italy | 7 |
| 7 | Netherlands | 1 |
| 8 | Portugal | 6 |
| 9 | United Kingdom | 1 |
| 10 | Germany | 3 |
| 11 | Romania | 23 |
| 12 | Switzerland | 2 |
| 13 | Ukraine | 5 |
| 14 | Moldavia | 1 |
| 15 | Russia | 1 |
| 21 | Algeria | 2 |
| 22 | Guinea | 1 |
| 23 | Guinea Bissau | 1 |
| 24 | Equatorial Guinea | 1 |
| 25 | Mali | 1 |
| 26 | Morocco | 33 |
| 27 | Nigeria | 2 |
| 28 | Senegal | 1 |
| 31 | Canada | 1 |
| 32 | United States of America | 1 |
| 41 | Cuba | 5 |
| 42 | Haiti | 1 |
| 43 | Honduras | 1 |
| 44 | Nicaragua | 1 |
| 45 | Dominican Republic | 6 |
| 46 | Argentina | 15 |
| 47 | Bolivia | 20 |
| 48 | Brazil | 4 |
| 49 | Colombia | 11 |
| 50 | Chile | 1 |
| 51 | Ecuador | 9 |
| 52 | Paraguay | 4 |
| 53 | Peru | 13 |
| 54 | Uruguay | 2 |
| 55 | Venezuela | 5 |
| 61 | Bangladesh | 2 |
| 62 | Philippines | 4 |
| 63 | India | 2 |
| 64 | Pakistan | 2 |
| 65 | Uzbekistan | 1 |
| 70 | China | 2 |
| 81 | State of Palestine | 1 |
| 0 | NAP, other countries | 59159 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2594 | 59160 | 1 | 81 |
Valid range from 1 to 81
FI_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Finland
| Value 258163 | Frequency | |
|---|---|---|
| 1 | Finnish speaking finns | 1083 |
| 2 | Swedish speaking finns | 53 |
| 3 | Other | 34 |
| 0 | NAP, other countries | 60583 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1170 | 60584 |
Valid range from 1 to 3
FR_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: France
| Value 259162 | Frequency | |
|---|---|---|
| 1 | French with my two parents born in France | 1994 |
| 2 | French with one of my parents born in France | 301 |
| 3 | Foreigner | 59 |
| 0 | NAP, other countries | 59345 |
| 99 | No answer | 55 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2354 | 59400 |
Valid range from 1 to 3
GB_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Great Britain
| Value 260161 | Frequency | |
|---|---|---|
| 1 | Black: of African origin | 14 |
| 2 | Black: of Caribbean origin | 3 |
| 3 | Black: of other origin | 1 |
| 4 | Asian: of Indian origin | 10 |
| 5 | Asian: of Pakistani origin | 9 |
| 6 | Asian: of Bangladeshi origin | 4 |
| 7 | Asian: of Chinese origin | 2 |
| 8 | Asian: of other origin | 5 |
| 9 | White: of any origin | 886 |
| 10 | Mixed origin | 11 |
| 11 | Other | 3 |
| 0 | NAP, other countries | 60804 |
| 97 | Refused | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 948 | 60806 |
Valid range from 1 to 11
HR_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Croatia
| Value 261160 | Frequency | |
|---|---|---|
| 1 | Croat | 917 |
| 2 | Serb | 24 |
| 3 | Bosnian | 8 |
| 7 | Hungarian | 1 |
| 13 | Slovenian | 2 |
| 14 | Italian | 1 |
| 17 | Undecided | 1 |
| 0 | NAP, other countries | 60754 |
| 97 | Refused | 35 |
| 99 | No answer | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 954 | 60800 |
Valid range from 1 to 17
HU_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Hungary
| Value 262159 | Frequency | |
|---|---|---|
| 1 | Hungarian | 981 |
| 2 | German | 1 |
| 5 | Romanian | 2 |
| 7 | Romani | 21 |
| 8 | Other | 1 |
| 0 | NAP, other countries | 60742 |
| 97 | Refused | 1 |
| 99 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1006 | 60748 | 1 | 8 |
Valid range from 1 to 8
IE_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Ireland
| Value 263158 | Frequency | |
|---|---|---|
| 1 | White Irish | 1062 |
| 2 | White Irish Travellers | 3 |
| 3 | Any Other White | 108 |
| 4 | Black Irish | 4 |
| 5 | Black African | 3 |
| 7 | Asian Irish | 7 |
| 9 | Any Other Asian | 3 |
| 10 | Mixed | 7 |
| 11 | Other | 2 |
| 0 | NAP, other countries | 60539 |
| 97 | Refused | 1 |
| 99 | No answer | 15 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1199 | 60555 |
Valid range from 1 to 11
IL_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Israel
| Value 264157 | Frequency | |
|---|---|---|
| 1 | Cyprus | 0 |
| 2 | Syria | 4 |
| 3 | Lebanon | 1 |
| 4 | Jordan | 2 |
| 5 | Iraq | 28 |
| 6 | Saudi Arabia | 0 |
| 7 | Yemen | 9 |
| 8 | South Yemen | 0 |
| 9 | Iran | 17 |
| 10 | Afghanistan | 0 |
| 11 | India, Pakistan | 7 |
| 12 | Burma | 0 |
| 13 | Indonesia, Philippines | 0 |
| 14 | China | 0 |
| 15 | Mongolia, Korea | 0 |
| 16 | Japan | 0 |
| 17 | Turkey | 9 |
| 18 | Other Asian Countries | 0 |
| 19 | Asia | 1 |
| 20 | Morocco, Tangier | 33 |
| 21 | Algiers | 2 |
| 22 | Tunisia | 12 |
| 23 | Libya | 7 |
| 24 | Sudan, Egypt | 3 |
| 25 | Ethiopia, Somalia, Eritrea | 7 |
| 26 | Zimbabwe, Rodezia | 0 |
| 27 | South Africa | 3 |
| 28 | Other African Countries | 0 |
| 29 | Africa | 0 |
| 30 | Russia | 80 |
| 31 | Poland | 12 |
| 40 | Romania | 16 |
| 41 | Yugoslavia | 0 |
| 42 | Bulgaria | 10 |
| 43 | Greece | 0 |
| 44 | Albania | 0 |
| 50 | Germany | 8 |
| 51 | Austria | 1 |
| 52 | Switzerland | 1 |
| 53 | Czechoslovakia | 2 |
| 54 | Hungary | 2 |
| 55 | Finland | 0 |
| 56 | Sweden | 0 |
| 57 | Norway | 0 |
| 58 | Denmark | 0 |
| 59 | England | 3 |
| 60 | Ireland | 0 |
| 61 | Holland | 0 |
| 62 | Belgium | 2 |
| 63 | Luxembourg | 0 |
| 64 | France | 7 |
| 65 | Portugal | 0 |
| 66 | Spain | 2 |
| 67 | Italy | 4 |
| 68 | Other European Countries | 0 |
| 69 | Europe | 0 |
| 70 | USA | 13 |
| 71 | Canada | 1 |
| 72 | Mexico | 0 |
| 73 | Cuba | 0 |
| 74 | Panama | 0 |
| 75 | Other American center Countries | 0 |
| 76 | Venezuela | 1 |
| 77 | Columbia | 0 |
| 78 | Ecuador | 0 |
| 79 | Peru | 1 |
| 80 | Bolivia | 1 |
| 81 | Brazil | 2 |
| 82 | Uruguay | 3 |
| 83 | Argentina | 14 |
| 84 | Chile | 0 |
| 85 | Other South America Countries | 0 |
| 86 | Australia | 0 |
| 87 | New Zealand | 0 |
| 89 | Palestine | 1 |
| 90 | Israel | 818 |
| 91 | Ukraine, Belorussia, Moldavia, Estonia, Latvia | 46 |
| 92 | Georgia, Uzbekistan, Kazakhstan, Armenia, Azerbaijan, Turkma | 18 |
| 0 | NAP, other countries | 60534 |
| 99 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1214 | 60540 | 2 | 92 |
Valid range from 1 to 92
IN_ETHN Country specific ethnic group: caste system: India
| Value 265156 | Frequency | |
|---|---|---|
| 1 | Hindu-SC | 215 |
| 2 | Hindu-ST | 172 |
| 3 | Hindu-OBC | 507 |
| 4 | Hindu-UCH | 388 |
| 5 | Muslim-Shia | 20 |
| 6 | Muslim-Sunni | 86 |
| 7 | Muslims Others | 54 |
| 8 | Christians General | 40 |
| 9 | Christians Others | 17 |
| 10 | Sikh General | 29 |
| 11 | Sikh Dalits | 4 |
| 95 | Others | 128 |
| 0 | NAP, other countries | 60094 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1660 | 60094 | 1 | 95 |
Valid range from 1 to 95
IS_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Iceland
| Value 266155 | Frequency | |
|---|---|---|
| 1 | Belonging to an ethnic minority group | 36 |
| 2 | Not belonging to an ethnic minority group | 1045 |
| 0 | NAP, other countries | 60582 |
| 97 | Refused | 41 |
| 98 | Don't know | 36 |
| 99 | No answer | 14 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1081 | 60673 |
Valid range from 1 to 2
JP_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Japan
| Value 267154 | Frequency | |
|---|---|---|
| 1 | Japan, Japanese | 1204 |
| 2 | Other | 8 |
| 0 | NAP, other countries | 60542 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1212 | 60542 |
Valid range from 1 to 2
KR_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Korea (South)
| Value 268153 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 61754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 61754 |
LT_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Lithuania
| Value 269152 | Frequency | |
|---|---|---|
| 1 | Lithuanian | 1020 |
| 2 | Polish | 94 |
| 3 | Russian | 62 |
| 4 | Other | 1 |
| 5 | Belarussian | 4 |
| 6 | Ukrainian | 4 |
| 7 | Latvian | 1 |
| 0 | NAP, other countries | 60567 |
| 97 | Refused | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1186 | 60568 |
Valid range from 1 to 7
LV_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Latvia
| Value 270151 | Frequency | |
|---|---|---|
| 1 | Latvian | 646 |
| 2 | Russian | 311 |
| 3 | Belarussian | 4 |
| 4 | Romany | 3 |
| 6 | Lithuanian | 5 |
| 7 | Polish | 2 |
| 8 | Ukrainian | 4 |
| 11 | Moldavian | 1 |
| 13 | Tatar | 1 |
| 0 | NAP, other countries | 60754 |
| 97 | Refused | 23 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 977 | 60777 |
Valid range from 1 to 13
MX_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Mexico
| Value 271150 | Frequency | |
|---|---|---|
| 1 | Belonging to an indigenous group | 29 |
| 2 | Not belonging to an indigenous group | 1482 |
| 0 | NAP, other countries | 60227 |
| 99 | No answer | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1511 | 60243 | 1 | 2 |
Valid range from 1 to 2
NL_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Netherlands
| Value 272149 | Frequency | |
|---|---|---|
| 1 | Netherlands | 1212 |
| 2 | Morocco | 9 |
| 3 | Turkey | 6 |
| 4 | Suriname | 21 |
| 5 | Netherland Antilles | 6 |
| 0 | NAP, other countries | 60439 |
| 99 | No answer | 61 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1254 | 60500 |
Valid range from 1 to 5
NO_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Norway
| Value 273148 | Frequency | |
|---|---|---|
| 1 | Both parents were born in Norway | 1309 |
| 2 | One of the parents was born in Norway | 69 |
| 3 | None of the parents were born in Norway | 54 |
| 0 | NAP, other countries | 60310 |
| 99 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1432 | 60322 |
Valid range from 1 to 3
PH_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Philippines
| Value 274147 | Frequency | |
|---|---|---|
| 1 | Bicol | 70 |
| 3 | Igorot | 13 |
| 4 | Ilocano | 73 |
| 5 | Ilonggo | 174 |
| 6 | Cebuano | 252 |
| 7 | Chinese | 2 |
| 9 | Maguindanao | 46 |
| 10 | Maranao | 1 |
| 11 | Spanish | 2 |
| 12 | Tagalog | 300 |
| 13 | Tausug | 3 |
| 15 | Waray | 69 |
| 16 | Batangueño | 3 |
| 17 | Pangasinense | 22 |
| 18 | Bisaya | 19 |
| 19 | Boholano | 39 |
| 20 | Kapampangan/ Pampangueño | 52 |
| 22 | Sambal | 8 |
| 24 | Ibanag | 1 |
| 25 | Surigaonon | 2 |
| 27 | Aklanon | 17 |
| 29 | Agta Negretos | 1 |
| 30 | B'Laan | 1 |
| 31 | Subanen | 4 |
| 32 | Bulaqueño | 1 |
| 33 | Dibabawun | 3 |
| 34 | Kalibuga | 10 |
| 35 | Siquijornon | 1 |
| 37 | Leyteño | 3 |
| 38 | Kinaray-a | 3 |
| 39 | Mandaya | 1 |
| 40 | Butuanon | 4 |
| 0 | NAP, other countries | 60554 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 60554 | 1 | 40 |
Valid range from 1 to 40
PL_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Poland
| Value 275146 | Frequency | |
|---|---|---|
| 1 | Polish | 1083 |
| 2 | Silesian | 15 |
| 3 | Kashubian | 7 |
| 4 | German | 1 |
| 5 | Ukrainian | 3 |
| 6 | Belarussian | 5 |
| 7 | Bulgarian | 1 |
| 0 | NAP, other countries | 60639 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1115 | 60639 |
Valid range from 1 to 7
PT_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Portugal
| Value 276145 | Frequency | |
|---|---|---|
| 2 | Brazilian | 13 |
| 3 | Cape Verdean | 4 |
| 6 | Mozambican | 1 |
| 10 | Other | 2 |
| 11 | Portuguese_Angolan | 22 |
| 12 | Portuguese_Brazilian | 25 |
| 13 | Portuguese_Cape Verdean | 17 |
| 14 | Portuguese_Guinean | 1 |
| 15 | Portuguese_Indian | 1 |
| 16 | Portuguese_Mozambican | 8 |
| 17 | Portuguese_Gypsy | 6 |
| 20 | Portuguese_Other | 7 |
| 21 | Cape Verdean_Guinean | 1 |
| 22 | Portuguese | 892 |
| 0 | NAP, other countries | 60753 |
| 98 | Don't know | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1000 | 60754 |
Valid range from 2 to 22
RU_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Russia
| Value 277144 | Frequency | |
|---|---|---|
| 1 | Russian | 1320 |
| 2 | Ukrainian | 21 |
| 3 | Belorussian | 3 |
| 4 | Tatar | 42 |
| 5 | Bashkir | 3 |
| 6 | Jewish | 4 |
| 7 | Ethnicities of the Volga region | 24 |
| 8 | Ethnicities of the Northern Caucasia region | 19 |
| 9 | Ethnicities of the Siberia region | 12 |
| 10 | Ethnicities of the Central Asia region | 10 |
| 11 | Other | 25 |
| 0 | NAP, other countries | 60229 |
| 97 | Refused | 42 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1483 | 60271 | 1 | 11 |
Valid range from 1 to 11
SE_ETHN Country specific: origin country/ ethnic group _father: Sweden
| Value 278143 | Frequency | |
|---|---|---|
| 32 | Argentina - ARG | 2 |
| 51 | Armenia - ARM | 1 |
| 56 | Belgium - BEL | 1 |
| 70 | Bosnia and Herzegovina - BIH | 7 |
| 112 | Belarus - BLR | 1 |
| 156 | China - CHN | 1 |
| 203 | Czech Republic - CZE | 2 |
| 208 | Denmark - DNK | 11 |
| 232 | Eritrea - ERI | 1 |
| 233 | Estonia - EST | 2 |
| 246 | Finland - FIN | 27 |
| 250 | France - FRA | 1 |
| 276 | Germany - DEU | 7 |
| 348 | Hungary - HUN | 3 |
| 364 | Iran, Islamic Republic of - IRN | 5 |
| 368 | Iraq - IRQ | 5 |
| 372 | Ireland - IRL | 2 |
| 380 | Italy - ITA | 1 |
| 422 | Lebanon - LBN | 2 |
| 428 | Latvia - LVA | 1 |
| 440 | Lithuania - LTU | 2 |
| 442 | Luxembourg - LUX | 1 |
| 496 | Mongolia - MNG | 1 |
| 528 | Netherlands - NLD | 2 |
| 578 | Norway - NOR | 6 |
| 608 | Philippines - PHL | 1 |
| 616 | Poland - POL | 2 |
| 643 | Russian Federation - RUS | 2 |
| 704 | Viet Nam - VNM | 2 |
| 705 | Slovenia - SVN | 2 |
| 752 | Sweden -SWE | 914 |
| 756 | Switzerland - CHE | 1 |
| 760 | Syrian Arab Republic - SYR | 1 |
| 764 | Thailand - THA | 2 |
| 792 | Turkey - TUR | 6 |
| 818 | Egypt - EGY | 1 |
| 826 | United Kingdom - GBR | 3 |
| 840 | United States - USA | 1 |
| 890 | Yugoslavia, Socialist federal Republic of - deleted code | 4 |
| 891 | Serbia and Montenegro | 1 |
| 9990 | Kurdistan, no country, geographical area | 2 |
| 9991 | North Africa, no country, geographical area | 1 |
| 9998 | Not Swedish citizenship - citizenship of country not mention | 11 |
| 0 | NAP, other countries | 60694 |
| 9999 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1052 | 60702 | 32 | 9998 |
Valid range from 32 to 9998
SI_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Slovenia
| Value 279142 | Frequency | |
|---|---|---|
| 1 | Slovenian | 957 |
| 2 | Italian | 0 |
| 3 | Hungarian | 0 |
| 5 | German | 0 |
| 6 | Croatian | 17 |
| 7 | Serbian | 15 |
| 8 | Montenegrian | 0 |
| 9 | Bosniak | 19 |
| 10 | Macedonian | 5 |
| 11 | Albanian | 3 |
| 13 | Other national/ ethnic identity | 13 |
| 0 | NAP, other countries | 60720 |
| 99 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1029 | 60725 |
Valid range from 1 to 13
SK_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Slovakia
| Value 280141 | Frequency | |
|---|---|---|
| 1 | Slovak | 1011 |
| 2 | Hungarian | 75 |
| 3 | Roma | 19 |
| 4 | Other | 23 |
| 0 | NAP, other countries | 60626 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1128 | 60626 | 1 | 4 |
Valid range from 1 to 4
TR_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Turkey
| Value 281140 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 61754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 61754 |
TW_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Taiwan
| Value 282139 | Frequency | |
|---|---|---|
| 1 | Fukienese of Taiwan | 1564 |
| 2 | Hakka of Taiwan | 247 |
| 3 | Mainlander | 218 |
| 4 | Aborigine | 21 |
| 24 | Thai, Khmer, Vietnam, South-East Asia | 11 |
| 46 | Indonesian, Malay/ Malaysian | 2 |
| 98 | Other, mixed origin | 1 |
| 0 | NAP, other countries | 59682 |
| 99 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2064 | 59690 |
Valid range from 1 to 98
US_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: United States
| Value 283138 | Frequency | |
|---|---|---|
| 1 | Africa | 107 |
| 2 | Austria | 5 |
| 3 | French Canada | 8 |
| 4 | Other Canda | 4 |
| 5 | China | 11 |
| 6 | Czechoslovakia | 5 |
| 7 | Denmark | 7 |
| 8 | England and Wales | 100 |
| 9 | Finland | 6 |
| 10 | France | 18 |
| 11 | Germany | 155 |
| 12 | Greece | 4 |
| 13 | Hungary | 3 |
| 14 | Ireland | 136 |
| 15 | Italy | 59 |
| 16 | Japan | 2 |
| 17 | Mexico | 90 |
| 18 | Netherlands | 11 |
| 19 | Norway | 10 |
| 20 | Philippines | 8 |
| 21 | Poland | 29 |
| 22 | Puerto Rico | 13 |
| 23 | Russia | 8 |
| 24 | Scotland | 29 |
| 25 | Spain | 26 |
| 26 | Sweden | 15 |
| 27 | Switzerland | 3 |
| 28 | West Indies | 1 |
| 29 | Other | 30 |
| 30 | American Indian | 54 |
| 31 | India | 13 |
| 32 | Portugal | 7 |
| 33 | Lithuania | 1 |
| 34 | Yugoslavia | 4 |
| 35 | Rumania | 4 |
| 36 | Belgium | 1 |
| 37 | Arabic | 1 |
| 38 | Other Spanish | 19 |
| 39 | Non-spanish windies | 10 |
| 40 | Other Asian | 9 |
| 41 | Other European | 5 |
| 97 | American only | 42 |
| 0 | NAP, other countries, uncodeable | 60676 |
| 99 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1073 | 60681 | 1 | 97 |
Valid range from 1 to 97
VE_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: Venezuela
| Value 284137 | Frequency | |
|---|---|---|
| 1 | White | 411 |
| 2 | Mestizo | 271 |
| 3 | Mulatto | 255 |
| 4 | Black | 27 |
| 5 | Indigeneous | 15 |
| 6 | Other | 3 |
| 0 | NAP, other countries | 60757 |
| 97 | Refused | 15 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 982 | 60772 |
Valid range from 1 to 6
ZA_ETHN Country specific: origin country/ ethnic group/ ethnic identity/ family origin: South Africa
| Value 285136 | Frequency | |
|---|---|---|
| 1 | Black African | 1586 |
| 2 | Coloured | 405 |
| 3 | Indian | 226 |
| 4 | White | 330 |
| 0 | NAP, other countries | 59207 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2547 | 59207 |
Valid range from 1 to 4
HHCHILDR How many children in household: children between [school age] and 17 years of age
| Value 286135 | Frequency | |
|---|---|---|
| 0 | No children | 41715 |
| 1 | One child | 9899 |
| 2 | 2 children | 5301 |
| 21 | 21 children | 1 |
| 96 | NAP (Code 0 in HOMPOP); not available: TR | 1620 |
| 97 | Refused | 41 |
| 99 | No answer | 1105 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 58988 | 2766 | 0 | 21 |
Valid range from 0 to 21
HHTODD How many toddlers in household: children up to [school age -1] years
| Value 287134 | Frequency | |
|---|---|---|
| 0 | No toddlers | 47664 |
| 1 | One toddler | 7536 |
| 2 | 2 toddlers | 2880 |
| 10 | 10 toddlers | 1 |
| 96 | NAP (Code 0 in HOMPOP); not available: TR | 1620 |
| 97 | Refused | 41 |
| 99 | No answer | 1134 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 58959 | 2795 | 0 | 10 |
Valid range from 0 to 10
HOMPOP How many persons in household
| Value 288133 | Frequency | |
|---|---|---|
| 1 | One person (only respondent) | 8928 |
| 2 | 2 persons | 17561 |
| 38 | 38 persons | 0 |
| 0 | Not a private household; not available: TR | 1621 |
| 99 | No answer | 1143 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 58990 | 2764 | 1 | 37 |
Valid range from 1 to 38
AR_RINC Country specific personal income: Argentina
| Value 289132 | Frequency | |
|---|---|---|
| 0 | No own income | 118 |
| 240 | 240 ARS per month | 1 |
| 17000 | 17.000 ARS per month | 1 |
| 999990 | NAP, all other countries | 60777 |
| 999999 | No answer | 114 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 863 | 60891 | 0 | 17000 |
Valid range from 0 to 17000
AT_RINC Country specific personal income: Austria
| Value 290131 | Frequency | |
|---|---|---|
| 0 | No income | 43 |
| 150 | Up to 300 EUR per month | 15 |
| 450 | 301-600 EUR | 34 |
| 750 | 601-900 EUR | 133 |
| 1050 | 901-1.200 EUR | 161 |
| 1350 | 1.201-1.500 EUR | 185 |
| 1650 | 1.501-1.800 EUR | 147 |
| 1950 | 1.801-2.100 EUR | 66 |
| 2300 | 2.101-2.500 EUR | 33 |
| 2750 | 2.501-3.000 EUR | 32 |
| 3500 | 3.001-4.000 EUR | 13 |
| 4500 | More than 4.000 EUR per month | 8 |
| 999990 | NAP, all other countries | 60572 |
| 999999 | No answer | 312 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 870 | 60884 |
Valid range from 0 to 4500
AU_RINC Country specific personal income: Australia
| Value 291130 | Frequency | |
|---|---|---|
| 0 | No income | 27 |
| 10 | 10 AUD per month | 1 |
| 1000000 | 1.000.000 AUD per month | 1 |
| 9999990 | NAP, all other countries | 60142 |
| 9999999 | No answer | 472 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1140 | 60614 | 0 | 1000000 |
Valid range from 0 to 1000000
BE_RINC Country specific personal income: Belgium
| Value 292129 | Frequency | |
|---|---|---|
| 0 | No own income | 63 |
| 15 | 15 EUR net per month | 1 |
| 25000 | 25.000 EUR net per month | 1 |
| 999990 | NAP, all other countries | 59552 |
| 999999 | No answer | 496 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1706 | 60048 | 0 | 25000 |
Valid range from 0 to 25000
BG_RINC Country specific personal income: Bulgaria
| Value 293128 | Frequency | |
|---|---|---|
| 0 | No own income | 116 |
| 40 | 40 BGN per month | 1 |
| 2500 | 2.500 BGN per month | 1 |
| 999990 | NAP, all other countries | 60751 |
| 999997 | Refused | 182 |
| 999998 | Don't know | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 809 | 60945 | 0 | 2500 |
Valid range from 0 to 2500
CA_RINC Country specific personal income: Canada
| Value 294127 | Frequency | |
|---|---|---|
| 0 | No own income | 21 |
| 150 | 150 CAD per month | 1 |
| 200 | 5 | |
| 250 | 2 | |
| 300 | 1 | |
| 400 | 5 | |
| 464 | 1 | |
| 480 | 1 | |
| 500 | 7 | |
| 530 | 1 | |
| 600 | 9 | |
| 650 | 2 | |
| 670 | 1 | |
| 680 | 1 | |
| 700 | 3 | |
| 720 | 1 | |
| 736 | 1 | |
| 800 | 13 | |
| 850 | 2 | |
| 900 | 3 | |
| 975 | 1 | |
| 1000 | 16 | |
| 1100 | 2 | |
| 1150 | 1 | |
| 1165 | 1 | |
| 1200 | 22 | |
| 1300 | 7 | |
| 1350 | 1 | |
| 1367 | 1 | |
| 1400 | 9 | |
| 1410 | 1 | |
| 1480 | 1 | |
| 1488 | 1 | |
| 1500 | 12 | |
| 1520 | 1 | |
| 1600 | 11 | |
| 1666 | 1 | |
| 1700 | 6 | |
| 1750 | 1 | |
| 1800 | 3 | |
| 1900 | 7 | |
| 1932 | 1 | |
| 2000 | 34 | |
| 2075 | 1 | |
| 2100 | 4 | |
| 2120 | 1 | |
| 2200 | 8 | |
| 2300 | 5 | |
| 2311 | 1 | |
| 2400 | 5 | |
| 2500 | 28 | |
| 2530 | 1 | |
| 2600 | 5 | |
| 2646 | 1 | |
| 2750 | 2 | |
| 2800 | 7 | |
| 2900 | 1 | |
| 3000 | 55 | |
| 3100 | 1 | |
| 3200 | 7 | |
| 3250 | 1 | |
| 3300 | 3 | |
| 3340 | 1 | |
| 3400 | 6 | |
| 3500 | 19 | |
| 3600 | 4 | |
| 3642 | 1 | |
| 3670 | 1 | |
| 3700 | 3 | |
| 3800 | 3 | |
| 3900 | 1 | |
| 4000 | 39 | |
| 4079 | 1 | |
| 4100 | 1 | |
| 4166 | 1 | |
| 4200 | 4 | |
| 4250 | 1 | |
| 4500 | 20 | |
| 4600 | 1 | |
| 4700 | 2 | |
| 4800 | 2 | |
| 4950 | 1 | |
| 5000 | 37 | |
| 5100 | 1 | |
| 5200 | 3 | |
| 5250 | 1 | |
| 5300 | 1 | |
| 5400 | 3 | |
| 5420 | 1 | |
| 5500 | 10 | |
| 5600 | 1 | |
| 5680 | 1 | |
| 5800 | 1 | |
| 5860 | 1 | |
| 6000 | 34 | |
| 6300 | 2 | |
| 6500 | 5 | |
| 6667 | 1 | |
| 6700 | 1 | |
| 7000 | 19 | |
| 7200 | 2 | |
| 7358 | 1 | |
| 7388 | 1 | |
| 7500 | 4 | |
| 7600 | 1 | |
| 7680 | 1 | |
| 7800 | 2 | |
| 7900 | 1 | |
| 8000 | 18 | |
| 8329 | 1 | |
| 8500 | 2 | |
| 8900 | 2 | |
| 9000 | 8 | |
| 9531 | 1 | |
| 9900 | 2 | |
| 10000 | 25 | |
| 10500 | 1 | |
| 11000 | 4 | |
| 12000 | 4 | |
| 12500 | 2 | |
| 12600 | 1 | |
| 13000 | 4 | |
| 13500 | 1 | |
| 15000 | 3 | |
| 16000 | 2 | |
| 16700 | 1 | |
| 17000 | 2 | |
| 19600 | 1 | |
| 20000 | 3 | |
| 25000 | 2 | |
| 26000 | 1 | |
| 28000 | 1 | |
| 29000 | 1 | |
| 30000 | 3 | |
| 32000 | 1 | |
| 36000 | 1 | |
| 38000 | 1 | |
| 40000 | 1 | |
| 43000 | 1 | |
| 48000 | 1 | |
| 56000 | 1 | |
| 60000 | 1 | |
| 70000 | 1 | |
| 80000 | 1 | |
| 101000 | 1 | |
| 170000 | 170.000 CAD per month | 1 |
| 999990 | NAP, all other countries | 60782 |
| 999998 | Don't know | 1 |
| 999999 | No answer, refused | 256 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 715 | 61039 |
Valid range from 0 to 170000
CH_RINC Country specific personal income: Switzerland
| Value 295126 | Frequency | |
|---|---|---|
| 0 | No income | 77 |
| 700 | Less than 1.100 CHF per month | 74 |
| 1450 | 1.100-1.799 CHF | 94 |
| 2200 | 1.800-2.599 CHF | 107 |
| 3100 | 2.600-3.599 CHF | 102 |
| 3950 | 3.600-4.299 CHF | 100 |
| 4750 | 4.300-5.199 CHF | 132 |
| 5550 | 5.200-5.899 CHF | 102 |
| 6500 | 5.900-7.099 CHF | 94 |
| 8050 | 7.100-8.999 CHF | 91 |
| 9950 | 9.000 CHF or more per month | 113 |
| 999990 | NAP, all other countries | 60517 |
| 999997 | Refused | 69 |
| 999998 | Don't know | 32 |
| 999999 | No answer | 50 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1086 | 60668 | 0 | 9950 |
Valid range from 0 to 9950
CL_RINC Country specific personal income: Chile
| Value 296125 | Frequency | |
|---|---|---|
| 20000 | Less than 35.000 CLP per month | 115 |
| 45000 | 35.001-56.000 CLP | 32 |
| 66000 | 56.001-78.000 CLP | 76 |
| 90000 | 78.001-101.000 CLP | 92 |
| 122000 | 101.001-134.000 CLP | 94 |
| 155000 | 134.001-179.000 CLP | 141 |
| 200000 | 179.001-224.000 CLP | 171 |
| 250000 | 224.001-291.000 CLP | 105 |
| 310000 | 291.001-358.000 CLP | 66 |
| 400000 | 358.001-448.000 CLP | 75 |
| 750000 | 448.001-1.000.000 CLP | 88 |
| 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 | 3 |
| 9999990 | NAP, all other countries | 60190 |
| 9999998 | Don't know | 93 |
| 9999999 | No answer | 392 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1079 | 60675 |
Valid range from 20000 to 3100000
CN_RINC Country specific personal income: China
| Value 297124 | Frequency | |
|---|---|---|
| 0 | No own income | 479 |
| 200 | 200 CNY per year | 1 |
| 1000000 | 1.000.000 CNY per year | 2 |
| 9999996 | The annual income is more than a million | 1 |
| 9999990 | NAP, all other countries | 55808 |
| 9999997 | Refused | 188 |
| 9999998 | Don't know | 143 |
| 9999999 | No answer | 249 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 5366 | 56388 | 0 | 9999996 |
Valid range from 0 to 9999996
CZ_RINC Country specific personal income: Czech Republic
| Value 298123 | Frequency | |
|---|---|---|
| 0 | No own income | 136 |
| 2500 | Up to 5.000 CZK per month | 45 |
| 7500 | 5.001-10.000 CZK | 255 |
| 12500 | 10.001-15.000 CZK | 467 |
| 17500 | 15.001-20.000 CZK | 293 |
| 22500 | 20.001-25.000 CZK | 151 |
| 27500 | 25.001-30.000 CZK | 52 |
| 40000 | 30.001-50.000 CZK | 33 |
| 60000 | More than 50.000 CZK per month | 2 |
| 999990 | NAP, all other countries | 59950 |
| 999998 | Don't know | 4 |
| 999999 | No answer | 366 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1434 | 60320 | 0 | 60000 |
Valid range from 0 to 60000
DE_RINC Country specific personal income: Germany
| Value 299122 | Frequency | |
|---|---|---|
| 0 | No own income | 123 |
| 30 | 30 EUR per month | 1 |
| 33000 | 33.000 EUR per month | 1 |
| 999990 | NAP, all other countries | 59988 |
| 999997 | Refused | 137 |
| 999999 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1626 | 60128 | 0 | 33000 |
Valid range from 0 to 33000
DK_RINC Country specific personal income: Denmark
| Value 300121 | Frequency | |
|---|---|---|
| 70000 | Below 100.000 DKK per year | 154 |
| 125000 | 100.000-149.999 DKK | 181 |
| 175000 | 150.000-199.999 DKK | 140 |
| 225000 | 200.000-249.999 DKK | 147 |
| 275000 | 250.000-299.999 DKK | 142 |
| 350000 | 300.000-399.999 DKK | 266 |
| 450000 | 400.000-499.999 DKK | 175 |
| 550000 | 500.000-599.999 DKK | 82 |
| 650000 | 600.000 DKK or more per year | 110 |
| 999990 | NAP, all other countries | 60351 |
| 999999 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1397 | 60357 | 70000 | 650000 |
Valid range from 70000 to 650000
ES_RINC Country specific personal income: Spain
| Value 301120 | Frequency | |
|---|---|---|
| 0 | No own income | 401 |
| 250 | 300 EUR or less per month | 76 |
| 450 | 301-600 EUR | 339 |
| 750 | 601-900 EUR | 330 |
| 1050 | 901-1.200 EUR | 372 |
| 1500 | 1.201-1.800 EUR | 383 |
| 2100 | 1.801-2.400 EUR | 138 |
| 2700 | 2.401-3.000 EUR | 47 |
| 3750 | 3.001-4.500 EUR | 25 |
| 5250 | 4.501-6.000 EUR | 4 |
| 7000 | More than 6.000 EUR per month | 6 |
| 999990 | NAP, all other countries | 59159 |
| 999999 | No answer | 474 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2121 | 59633 |
Valid range from 0 to 7000
FI_RINC Country specific personal income: Finland
| Value 302119 | Frequency | |
|---|---|---|
| 0 | No income | 31 |
| 1 | 1 EUR per month | 1 |
| 55000 | 55.000 EUR per month | 1 |
| 999990 | NAP, other countries | 60583 |
| 999999 | No answer | 266 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 905 | 60849 | 0 | 55000 |
Valid range from 0 to 55000
FR_RINC Country specific personal income: France
| Value 303118 | Frequency | |
|---|---|---|
| 0 | No own income | 54 |
| 50 | 50 EUR per month | 1 |
| 80000 | 80.000 EUR per month | 1 |
| 999990 | NAP, all other countries | 59345 |
| 999999 | No answer | 526 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1883 | 59871 | 0 | 80000 |
Valid range from 0 to 80000
GB_RINC Country specific personal income: Great Britain
| Value 304117 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 488 |
| 270 | Less than 430 GBP per month | 35 |
| 590 | 431-780 GBP | 45 |
| 930 | 781-1.100 GBP | 49 |
| 1200 | 1.101-1.300 GBP | 43 |
| 1400 | 1.301-1.600 GBP | 43 |
| 1700 | 1.601-1.800 GBP | 42 |
| 2000 | 1.801-2.200 GBP | 49 |
| 2500 | 2.201-2.700 GBP | 43 |
| 3100 | 2.701-3.600 GBP | 37 |
| 4900 | 3.601 GBP or more per month | 38 |
| 999990 | NAP, all other countries | 60804 |
| 999997 | Refused | 31 |
| 999998 | Don't know | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 912 | 60842 | 0 | 4900 |
Valid range from 0 to 4900
HR_RINC Country specific personal income: Croatia
| Value 305116 | Frequency | |
|---|---|---|
| 0 | No own income | 152 |
| 200 | 200 HRK per month | 1 |
| 30000 | 30.000 HRK per month | 1 |
| 999990 | NAP, all other countries | 60754 |
| 999997 | Refused | 156 |
| 999998 | Don't know | 10 |
| 999999 | No answer | 65 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 769 | 60985 | 0 | 30000 |
Valid range from 0 to 30000
HU_RINC Country specific personal income: Hungary
| Value 306115 | Frequency | |
|---|---|---|
| 0 | No own income | 70 |
| 10000 | 10.000 HUF per month | 1 |
| 350000 | 350.000 HUF per month | 1 |
| 999990 | NAP, all other countries | 60742 |
| 999999 | No answer | 497 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 515 | 61239 | 0 | 350000 |
Valid range from 0 to 350000
IE_RINC Country specific personal income: Ireland
| Value 307114 | Frequency | |
|---|---|---|
| 0 | No own income | 61 |
| 5000 | Under 6.000 EUR per year | 19 |
| 7750 | 6.001-9.500 EUR | 50 |
| 10750 | 9.501-12.000 EUR | 115 |
| 15000 | 12.001-18.000 EUR | 121 |
| 21000 | 18.001-24.000 EUR | 144 |
| 27000 | 24.001-30.000 EUR | 90 |
| 33000 | 30.001-36.000 EUR | 100 |
| 48000 | 36.001-60.000 EUR | 178 |
| 75000 | 60.001-90.000 EUR | 47 |
| 105000 | 90.001-120.000 EUR | 18 |
| 140000 | 120.001-160.000 EUR | 11 |
| 170000 | 160.001 EUR and more per year | 3 |
| 999990 | NAP, all other countries | 60539 |
| 999997 | Refused | 17 |
| 999998 | Don't know | 7 |
| 999999 | No answer | 234 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 957 | 60797 | 0 | 170000 |
Valid range from 0 to 170000
IL_RINC Country specific personal income: Israel
| Value 308113 | Frequency | |
|---|---|---|
| 0 | No income | 106 |
| 1000 | 1.250 ILS and less per month | 46 |
| 2125 | 1.251-3.000 ILS | 144 |
| 3500 | 3.001-4.000 ILS | 117 |
| 4350 | 4.001-4.700 ILS | 85 |
| 5100 | 4.701-5.500 ILS | 88 |
| 6100 | 5.501-6.700 ILS | 86 |
| 7450 | 6.701-8.200 ILS | 121 |
| 9100 | 8.201-10.000 ILS | 67 |
| 13000 | 10.001-16.000 ILS | 68 |
| 19000 | More than 16.001 ILS per month | 57 |
| 999990 | NAP, all other countries | 60534 |
| 999997 | Refused | 189 |
| 999998 | Don't know | 34 |
| 999999 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 985 | 60769 |
Valid range from 0 to 19000
IN_RINC Country specific personal income: India
| Value 309112 | Frequency | |
|---|---|---|
| 1500 | Less than 3.000 INR per month | 93 |
| 4500 | 3.000-6.000 INR | 343 |
| 8000 | 6.001-10.000 INR | 233 |
| 15000 | 10.001-20.000 INR | 314 |
| 35000 | 20.001-50.000 INR | 139 |
| 75000 | 50.001-100.000 INR | 12 |
| 125000 | More than 100.000 INR per month | 1 |
| 999990 | NAP, all other countries | 60094 |
| 999998 | Can't say | 525 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1135 | 60619 | 1500 | 125000 |
Valid range from 1500 to 125000
IS_RINC Country specific personal income: Iceland
| Value 310111 | Frequency | |
|---|---|---|
| 25000 | 49.999 ISK or less per month | 32 |
| 75000 | 50.000-99.999 ISK | 25 |
| 112500 | 100.000-124.999 ISK | 37 |
| 137500 | 125.000-149.999 ISK | 46 |
| 175000 | 150.000-199.999 ISK | 79 |
| 225000 | 200.000-249.999 ISK | 115 |
| 275000 | 250.000-299.999 ISK | 96 |
| 325000 | 300.000-349.999 ISK | 92 |
| 375000 | 350.000-399.999 ISK | 86 |
| 425000 | 400.000-449.999 ISK | 70 |
| 475000 | 450.000-499.999 ISK | 70 |
| 525000 | 500.000-549.999 ISK | 46 |
| 575000 | 550.000-599.999 ISK | 44 |
| 650000 | 600.000-699.999 ISK | 68 |
| 750000 | 700.000-799.999 ISK | 59 |
| 900000 | 800.000-999.999 ISK | 24 |
| 1100000 | 1.000.000 ISK or more per month | 31 |
| 9999990 | NAP, all other countries | 60582 |
| 9999997 | Refused | 41 |
| 9999998 | Don't know | 39 |
| 9999999 | No answer | 72 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1020 | 60734 |
Valid range from 25000 to 1100000
JP_RINC Country specific personal income: Japan
| Value 311110 | Frequency | |
|---|---|---|
| 0 | No own income | 170 |
| 500000 | Less than 1.000.000 JPY per year | 227 |
| 1500000 | 1.000.000-1.999.999 JPY | 234 |
| 2500000 | 2.000.000-2.999.999 JPY | 174 |
| 3500000 | 3.000.000-3.999.999 JPY | 114 |
| 4500000 | 4.000.000-4.999.999 JPY | 77 |
| 5500000 | 5.000.000-5.999.999 JPY | 55 |
| 6500000 | 6.000.000-6.999.999 JPY | 39 |
| 7500000 | 7.000.000-7.999.999 JPY | 21 |
| 8500000 | 8.000.000-8.999.999 JPY | 15 |
| 9500000 | 9.000.000-9.999.999 JPY | 8 |
| 11000000 | 10.000.000-11.999.999 JPY | 9 |
| 13500000 | 12.000.000-14.999.999 JPY | 6 |
| 20000000 | 15.000.000 JPY and more per year | 5 |
| 99999990 | NAP, all other countries | 60542 |
| 99999999 | No answer | 58 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1154 | 60600 |
Valid range from 0 to 20000000
KR_RINC Country specific personal income: Korea (South)
| Value 312109 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work (code 2,3 in WORK) | 640 |
| 300000 | Less than 500.000 KRW per month | 47 |
| 750000 | 500.000-999.999 KRW | 64 |
| 1250000 | 1.000.000-1.499.999 KRW | 123 |
| 1750000 | 1.500.000-1.999.999 KRW | 98 |
| 2250000 | 2.000.000-2.499.999 KRW | 106 |
| 2750000 | 2.500.000-2.999.999 KRW | 70 |
| 3250000 | 3.000.000-3.499.999 KRW | 64 |
| 3750000 | 3.500.000-3.999.999 KRW | 23 |
| 4250000 | 4.000.000-4.499.999 KRW | 29 |
| 4750000 | 4.500.000-4.999.999 KRW | 10 |
| 5250000 | 5.000.000-5.499.999 KRW | 30 |
| 5750000 | 5.500.000-5.999.999 KRW | 1 |
| 6250000 | 6.000.000-6.499.999 KRW | 9 |
| 6750000 | 6.500.000-6.999.999 KRW | 4 |
| 7250000 | 7.000.000-7.499.999 KRW | 4 |
| 7750000 | 7.500.000-7.999.999 KRW | 0 |
| 8250000 | 8.000.000-8.499.999 KRW | 4 |
| 8750000 | 8.500.000-8.999.999 KRW | 2 |
| 9250000 | 9.000.000-9.499.999 KRW | 0 |
| 9750000 | 9.500.000-9.999.999 KRW | 0 |
| 10250000 | 10.000.000 KRW and more per month | 11 |
| 99999990 | NAP, other countries | 60358 |
| 99999998 | Don't know | 3 |
| 99999999 | No answer | 54 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1339 | 60415 | 0 | 10250000 |
Valid range from 0 to 10250000
LT_RINC Country specific personal income: Lithuania
| Value 313108 | Frequency | |
|---|---|---|
| 0 | No income | 97 |
| 80 | 80 LTL per month | 1 |
| 100 | 2 | |
| 130 | 2 | |
| 150 | 2 | |
| 160 | 1 | |
| 200 | 4 | |
| 245 | 1 | |
| 300 | 3 | |
| 310 | 1 | |
| 315 | 4 | |
| 317 | 1 | |
| 341 | 1 | |
| 350 | 22 | |
| 360 | 1 | |
| 369 | 1 | |
| 400 | 5 | |
| 420 | 1 | |
| 450 | 4 | |
| 465 | 1 | |
| 480 | 1 | |
| 500 | 8 | |
| 510 | 1 | |
| 518 | 1 | |
| 520 | 3 | |
| 524 | 2 | |
| 526 | 1 | |
| 530 | 2 | |
| 545 | 1 | |
| 546 | 1 | |
| 550 | 1 | |
| 560 | 2 | |
| 578 | 1 | |
| 600 | 20 | |
| 608 | 1 | |
| 610 | 1 | |
| 620 | 2 | |
| 622 | 1 | |
| 623 | 1 | |
| 625 | 1 | |
| 626 | 1 | |
| 629 | 1 | |
| 630 | 1 | |
| 640 | 1 | |
| 649 | 1 | |
| 650 | 18 | |
| 660 | 2 | |
| 670 | 7 | |
| 673 | 1 | |
| 680 | 7 | |
| 681 | 1 | |
| 700 | 25 | |
| 710 | 1 | |
| 715 | 2 | |
| 720 | 6 | |
| 723 | 1 | |
| 725 | 1 | |
| 730 | 5 | |
| 740 | 9 | |
| 749 | 1 | |
| 750 | 12 | |
| 760 | 6 | |
| 765 | 1 | |
| 770 | 2 | |
| 780 | 8 | |
| 786 | 1 | |
| 790 | 5 | |
| 800 | 51 | |
| 804 | 1 | |
| 810 | 1 | |
| 812 | 1 | |
| 815 | 1 | |
| 816 | 1 | |
| 820 | 3 | |
| 824 | 1 | |
| 830 | 5 | |
| 834 | 1 | |
| 836 | 1 | |
| 840 | 4 | |
| 850 | 19 | |
| 860 | 7 | |
| 862 | 1 | |
| 870 | 5 | |
| 880 | 3 | |
| 890 | 4 | |
| 895 | 1 | |
| 897 | 1 | |
| 900 | 31 | |
| 910 | 4 | |
| 920 | 6 | |
| 921 | 1 | |
| 935 | 1 | |
| 950 | 5 | |
| 955 | 1 | |
| 960 | 4 | |
| 965 | 1 | |
| 970 | 3 | |
| 980 | 8 | |
| 983 | 1 | |
| 992 | 1 | |
| 1000 | 56 | |
| 1010 | 1 | |
| 1020 | 1 | |
| 1035 | 1 | |
| 1049 | 1 | |
| 1050 | 2 | |
| 1060 | 1 | |
| 1080 | 1 | |
| 1100 | 18 | |
| 1120 | 2 | |
| 1128 | 1 | |
| 1135 | 1 | |
| 1140 | 1 | |
| 1200 | 39 | |
| 1240 | 1 | |
| 1250 | 2 | |
| 1255 | 1 | |
| 1270 | 1 | |
| 1300 | 14 | |
| 1318 | 1 | |
| 1340 | 1 | |
| 1344 | 1 | |
| 1350 | 2 | |
| 1358 | 1 | |
| 1363 | 1 | |
| 1400 | 15 | |
| 1450 | 2 | |
| 1470 | 1 | |
| 1500 | 40 | |
| 1546 | 1 | |
| 1600 | 22 | |
| 1650 | 1 | |
| 1700 | 10 | |
| 1735 | 1 | |
| 1800 | 21 | |
| 1823 | 1 | |
| 1850 | 2 | |
| 1890 | 1 | |
| 1900 | 2 | |
| 1950 | 1 | |
| 2000 | 52 | |
| 2060 | 1 | |
| 2100 | 2 | |
| 2148 | 1 | |
| 2150 | 1 | |
| 2170 | 1 | |
| 2200 | 7 | |
| 2300 | 7 | |
| 2350 | 1 | |
| 2400 | 7 | |
| 2500 | 15 | |
| 2600 | 3 | |
| 2800 | 7 | |
| 3000 | 18 | |
| 3260 | 1 | |
| 3500 | 4 | |
| 3600 | 1 | |
| 3846 | 1 | |
| 4000 | 3 | |
| 4500 | 3 | |
| 4900 | 1 | |
| 5000 | 5 | |
| 5500 | 5.500 LTL per month | 1 |
| 999990 | NAP, all other countries | 60567 |
| 999997 | Refused | 244 |
| 999998 | Don't know | 14 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 929 | 60825 |
Valid range from 0 to 5500
LV_RINC Country specific personal income: Latvia
| Value 314107 | Frequency | |
|---|---|---|
| 0 | No own income | 60 |
| 8 | 8 LVL per month | 4 |
| 3000 | 3.000 LVL per month | 1 |
| 999990 | NAP, all other countries | 60754 |
| 999997 | Refused | 197 |
| 999998 | Don't know | 57 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 746 | 61008 | 0 | 3000 |
Valid range from 0 to 3000
MX_RINC Country specific personal income: Mexico
| Value 315106 | Frequency | |
|---|---|---|
| 0 | No own income | 463 |
| 800 | 800 MXN per month | 3 |
| 50000 | 50.000 MXN per month | 2 |
| 999990 | NAP, all other countries | 60227 |
| 999997 | Refused | 191 |
| 999998 | Don't know | 125 |
| 999999 | No answer | 158 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1053 | 60701 | 0 | 50000 |
Valid range from 0 to 50000
NL_RINC Country specific personal income: Netherlands
| Value 316105 | Frequency | |
|---|---|---|
| 0 | No income | 51 |
| 500 | Less than 750 EUR per month | 98 |
| 875 | 750-1000 EUR | 131 |
| 1125 | 1000-1250 EUR | 108 |
| 1375 | 1250-1500 EUR | 132 |
| 1625 | 1500-1750 EUR | 115 |
| 1875 | 1750-2000 EUR | 165 |
| 2125 | 2000-2250 EUR | 105 |
| 2375 | 2250-2500 EUR | 88 |
| 2750 | 2500-3000 EUR | 104 |
| 3250 | 3000-3500 EUR | 48 |
| 3750 | 3500-4000 EUR | 30 |
| 4500 | 4000-5000 EUR | 26 |
| 5500 | Over 5000 EUR per month | 32 |
| 999990 | NAP, other countries | 60439 |
| 999999 | No answer | 82 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1233 | 60521 | 0 | 5500 |
Valid range from 0 to 5500
NO_RINC Country specific personal income: Norway
| Value 317104 | Frequency | |
|---|---|---|
| 0 | No own income | 37 |
| 1000 | 1.000 NOK per year | 1 |
| 45000000 | 45.000.000 NOK per year | 1 |
| 99999990 | NAP, all other countries | 60310 |
| 99999999 | No answer | 150 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1294 | 60460 | 0 | 45000000 |
Valid range from 0 to 45000000
PH_RINC Country specific personal income: Philippines
| Value 318103 | Frequency | |
|---|---|---|
| 0 | No own income, no job | 433 |
| 100 | 100 PHP per month | 2 |
| 80000 | 80.000 PHP per month | 1 |
| 999990 | NAP, all other countries | 60554 |
| 999997 | Refused | 13 |
| 999998 | Don't know | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1177 | 60577 | 0 | 80000 |
Valid range from 0 to 80000
PL_RINC Country specific personal income: Poland
| Value 319102 | Frequency | |
|---|---|---|
| 0 | No own income | 537 |
| 150 | 150 PLN per month | 3 |
| 75000 | 75.000 PLN per month | 1 |
| 999990 | NAP, all other countries | 60639 |
| 999998 | Don't know | 71 |
| 999999 | No answer | 129 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 915 | 60839 | 0 | 75000 |
Valid range from 0 to 75000
PT_RINC Country specific personal income: Portugal
| Value 320101 | Frequency | |
|---|---|---|
| 0 | No income | 123 |
| 128 | Less than 206 EUR per month | 21 |
| 246 | 207-285 EUR | 39 |
| 313 | 286-339 EUR | 38 |
| 366 | 340-392 EUR | 20 |
| 422 | 393-450 EUR | 23 |
| 485 | 451-519 EUR | 64 |
| 567 | 520-613 EUR | 52 |
| 682 | 614-750 EUR | 49 |
| 888 | 751-1025 EUR | 38 |
| 1163 | More than 1025 EUR per month | 38 |
| 999990 | NAP, all other countries | 60753 |
| 999997 | Refused | 414 |
| 999998 | Dont know | 82 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 505 | 61249 |
Valid range from 0 to 1163
RU_RINC Country specific personal income: Russia
| Value 321100 | Frequency | |
|---|---|---|
| 0 | No own income | 112 |
| 1000 | 1.000 RUB per month | 2 |
| 200000 | 200.000 RUB per month | 1 |
| 999990 | NAP, all other countries | 60229 |
| 999997 | Refused | 221 |
| 999998 | Don't know | 65 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1239 | 60515 | 0 | 200000 |
Valid range from 0 to 200000
SE_RINC Country specific personal income: Sweden
| Value 32299 | Frequency | |
|---|---|---|
| 0 | No own income | 15 |
| 1000 | 1.000 SEK per month | 1 |
| 750000 | 750.000 SEK per month | 1 |
| 999990 | NAP, all other countries | 60694 |
| 999999 | No answer | 116 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 944 | 60810 | 0 | 750000 |
Valid range from 0 to 750000
SI_RINC Country specific personal income: Slovenia
| Value 32398 | Frequency | |
|---|---|---|
| 0 | No own income | 106 |
| 50 | 50 EUR per month | 1 |
| 55 | 1 | |
| 60 | 1 | |
| 103 | 1 | |
| 130 | 1 | |
| 135 | 1 | |
| 140 | 1 | |
| 144 | 1 | |
| 150 | 1 | |
| 160 | 3 | |
| 163 | 1 | |
| 180 | 3 | |
| 200 | 19 | |
| 218 | 1 | |
| 220 | 2 | |
| 225 | 1 | |
| 227 | 1 | |
| 240 | 1 | |
| 250 | 2 | |
| 260 | 6 | |
| 270 | 1 | |
| 280 | 2 | |
| 290 | 3 | |
| 300 | 4 | |
| 315 | 1 | |
| 320 | 2 | |
| 330 | 1 | |
| 333 | 1 | |
| 340 | 4 | |
| 350 | 6 | |
| 360 | 4 | |
| 370 | 6 | |
| 380 | 4 | |
| 389 | 1 | |
| 390 | 3 | |
| 395 | 1 | |
| 400 | 19 | |
| 410 | 1 | |
| 411 | 1 | |
| 418 | 1 | |
| 420 | 5 | |
| 425 | 2 | |
| 430 | 6 | |
| 440 | 2 | |
| 442 | 1 | |
| 448 | 1 | |
| 450 | 15 | |
| 456 | 1 | |
| 460 | 3 | |
| 462 | 1 | |
| 466 | 1 | |
| 472 | 1 | |
| 475 | 1 | |
| 480 | 7 | |
| 490 | 7 | |
| 491 | 1 | |
| 495 | 1 | |
| 500 | 33 | |
| 512 | 1 | |
| 520 | 3 | |
| 530 | 4 | |
| 540 | 1 | |
| 550 | 11 | |
| 554 | 1 | |
| 560 | 4 | |
| 563 | 1 | |
| 570 | 6 | |
| 580 | 6 | |
| 581 | 1 | |
| 583 | 1 | |
| 600 | 50 | |
| 601 | 1 | |
| 604 | 1 | |
| 620 | 5 | |
| 630 | 1 | |
| 640 | 1 | |
| 647 | 1 | |
| 650 | 13 | |
| 660 | 1 | |
| 670 | 3 | |
| 680 | 4 | |
| 685 | 1 | |
| 690 | 1 | |
| 700 | 56 | |
| 710 | 1 | |
| 715 | 1 | |
| 720 | 1 | |
| 728 | 1 | |
| 730 | 1 | |
| 740 | 2 | |
| 750 | 11 | |
| 754 | 1 | |
| 760 | 1 | |
| 770 | 2 | |
| 775 | 1 | |
| 780 | 1 | |
| 790 | 1 | |
| 800 | 39 | |
| 810 | 2 | |
| 820 | 1 | |
| 830 | 2 | |
| 850 | 13 | |
| 860 | 1 | |
| 900 | 41 | |
| 904 | 1 | |
| 905 | 1 | |
| 930 | 2 | |
| 950 | 3 | |
| 980 | 1 | |
| 999 | 1 | |
| 1000 | 50 | |
| 1024 | 1 | |
| 1050 | 1 | |
| 1100 | 16 | |
| 1140 | 1 | |
| 1200 | 23 | |
| 1205 | 1 | |
| 1250 | 1 | |
| 1300 | 7 | |
| 1310 | 1 | |
| 1400 | 11 | |
| 1500 | 20 | |
| 1600 | 2 | |
| 1700 | 7 | |
| 1800 | 2 | |
| 1900 | 1 | |
| 2000 | 5 | |
| 2400 | 2 | |
| 2500 | 1 | |
| 3500 | 3.500 EUR per month | 1 |
| 999990 | NAP, all other countries | 60720 |
| 999998 | Don't know | 33 |
| 999999 | No answer | 225 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 776 | 60978 |
Valid range from 0 to 3500
SK_RINC Country specific personal income: Slovakia
| Value 32497 | Frequency | |
|---|---|---|
| 0 | No own income | 43 |
| 75 | Up to 150 EUR per month (approx. 4.500 SKK) | 31 |
| 225 | 151 - 300 (approx. 4.500-9.000 SKK) | 137 |
| 375 | 301 - 450 (approx. 9.000-13.500 SKK) | 315 |
| 525 | 451 - 600 (approx. 13.500-18.000 SKK) | 148 |
| 675 | 601 - 750 (approx. 18.000-22.500 SKK) | 56 |
| 825 | 751 - 900 (approx. 22.500-27.000 SKK) | 46 |
| 1050 | 901 - 1.200 (approx. 27.000-36.000 SKK) | 27 |
| 1350 | 1.201 - 1.500 (approx. 36.000-45.000 SKK) | 7 |
| 1750 | 1.501 - 2.000 (approx. 45.000-60.000 SKK) | 6 |
| 2500 | 2.001- 3.000 per month (approx. 60.000- 90.000 SKK) | 4 |
| 999990 | NAP, all other countries | 60626 |
| 999998 | Don't know | 3 |
| 999999 | No answer | 305 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 820 | 60934 | 0 | 2500 |
Valid range from 0 to 2500
TR_RINC Country specific personal income: Turkey
| Value 32596 | Frequency | |
|---|---|---|
| 999990 | Not available; NAP, all other countries | 61754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 61754 |
TW_RINC Country specific personal income: Taiwan
| Value 32695 | Frequency | |
|---|---|---|
| 0 | No own income | 388 |
| 5000 | Up to 10.000 TWD per month | 299 |
| 15000 | 10.001-20.000 TWD | 222 |
| 25000 | 20.001-30.000 TWD | 297 |
| 35000 | 30.001-40.000 TWD | 249 |
| 45000 | 40.001-50.000 TWD | 172 |
| 55000 | 50.001-60.000 TWD | 123 |
| 65000 | 60.001-70.000 TWD | 81 |
| 75000 | 70.001-80.000 TWD | 48 |
| 85000 | 80.001-90.000 TWD | 35 |
| 95000 | 90.001-100.000 TWD | 23 |
| 105000 | 100.001-110.000 TWD | 8 |
| 115000 | 110.001-120.000 TWD | 14 |
| 125000 | 120.001-130.000 TWD | 11 |
| 135000 | 130.001-140.000 TWD | 5 |
| 145000 | 140.001-150.000 TWD | 5 |
| 155000 | 150.001-160.000 TWD | 2 |
| 165000 | 160.001-170.000 TWD | 1 |
| 175000 | 170.001-180.000 TWD | 3 |
| 185000 | 180.001-190.000 TWD | 1 |
| 195000 | 190.001-200.000 TWD | 1 |
| 250000 | 200.001-300.000 TWD | 7 |
| 350000 | More than 300.000 TWD per month | 7 |
| 999990 | NAP, all other countries | 59682 |
| 999997 | Refused | 34 |
| 999998 | Don't know | 36 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2002 | 59752 | 0 | 350000 |
Valid range from 0 to 350000
US_RINC Country specific personal income: United States
| Value 32794 | Frequency | |
|---|---|---|
| 0 | No own income | 470 |
| 500 | Under 1.000 USD per year | 19 |
| 2000 | 1.000-2.999 USD | 18 |
| 3500 | 3.000-3.999 USD | 25 |
| 4500 | 4.000-4.999 USD | 11 |
| 5500 | 5.000-5.999 USD | 13 |
| 6500 | 6.000-6.999 USD | 14 |
| 7500 | 7.000-7.999 USD | 16 |
| 9000 | 8.000-9.999 USD | 13 |
| 11250 | 10.000-12.499 USD | 39 |
| 13750 | 12.500-14.999 USD | 43 |
| 16250 | 15.000-17.499 USD | 26 |
| 18750 | 17.500-19.999 USD | 30 |
| 21250 | 20.000-22.499 USD | 39 |
| 23750 | 22.500-24.999 USD | 34 |
| 27500 | 25.000-29.999 USD | 53 |
| 32500 | 30.000-34.999 USD | 50 |
| 37500 | 35.000-39.999 USD | 49 |
| 45000 | 40.000-49.999 USD | 81 |
| 55000 | 50.000-59.999 USD | 49 |
| 67500 | 60.000-74.999 USD | 50 |
| 82500 | 75.000-89.999 USD | 35 |
| 100000 | 90.000-109.999 USD | 25 |
| 120000 | 110.000-129.999 USD | 14 |
| 140000 | 130.000-149.999 USD | 3 |
| 160000 | 150.000 USD or more per year | 22 |
| 999990 | NAP, all other countries | 60452 |
| 999997 | Refused | 42 |
| 999998 | Don't know | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1241 | 60513 | 0 | 160000 |
Valid range from 0 to 160000
VE_RINC Country specific personal income: Venezuela
| Value 32893 | Frequency | |
|---|---|---|
| 0 | Without income | 167 |
| 500 | 500 VEF per month | 2 |
| 44000 | 44.000 VEF per month | 1 |
| 999990 | NAP, all other countries | 60757 |
| 999999 | No answer | 31 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 966 | 60788 | 0 | 44000 |
Valid range from 0 to 44000
ZA_RINC Country specific personal income: South Africa
| Value 32992 | Frequency | |
|---|---|---|
| 0 | No own income | 663 |
| 250 | 500 ZAR and less per month | 173 |
| 625 | 501-750 ZAR | 82 |
| 875 | 751-1.000 ZAR | 107 |
| 1250 | 1.001-1.500 ZAR | 403 |
| 1750 | 1.501-2.000 ZAR | 128 |
| 2500 | 2.001-3.000 ZAR | 139 |
| 4000 | 3.001-5.000 ZAR | 136 |
| 6250 | 5.001-7.500 ZAR | 86 |
| 8750 | 7.501-10.000 ZAR | 79 |
| 12500 | 10.001-15.000 ZAR | 66 |
| 17500 | 15.001-20.000 ZAR | 49 |
| 25000 | 20.001-30.000 ZAR | 22 |
| 40000 | 30.001-50.000 ZAR | 11 |
| 60000 | More than 50.001 ZAR per month | 6 |
| 999990 | NAP, other countries | 59207 |
| 999997 | Refused | 282 |
| 999998 | Don't know | 44 |
| 999999 | No answer | 71 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2150 | 59604 | 0 | 60000 |
Valid range from 0 to 60000
AR_INC Country specific household income: Argentina
| Value 33091 | Frequency | |
|---|---|---|
| 300 | 300 ARS per month | 1 |
| 30000 | 30.000 ARS per month | 1 |
| 999990 | NAP, all other countries | 60777 |
| 999999 | No answer | 226 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 751 | 61003 | 300 | 30000 |
Valid range from 300 to 30000
AT_INC Country specific household income: Austria
| Value 33190 | Frequency | |
|---|---|---|
| 150 | Up to 300 EUR per month | 1 |
| 450 | 301-600 EUR | 10 |
| 750 | 601-900 EUR | 48 |
| 1050 | 901-1.200 EUR | 78 |
| 1350 | 1.201-1.500 EUR | 104 |
| 1650 | 1.501-1.800 EUR | 107 |
| 1950 | 1.801-2.100 EUR | 84 |
| 2300 | 2.101-2.500 EUR | 94 |
| 2750 | 2.501-3.000 EUR | 113 |
| 3500 | 3.001-4.000 EUR | 93 |
| 4500 | More than 4.000 EUR per month | 75 |
| 999990 | NAP, all other countries | 60572 |
| 999999 | No answer | 375 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 807 | 60947 |
Valid range from 150 to 4500
AU_INC Country specific household income: Australia
| Value 33289 | Frequency | |
|---|---|---|
| 0 | No income | 2 |
| 10 | 10 AUD per month | 1 |
| 1700000 | 1.700.000 AUD per month | 1 |
| 9999990 | NAP, all other countries | 60142 |
| 9999999 | No answer | 527 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1085 | 60669 | 0 | 1700000 |
Valid range from 0 to 1700000
BE_INC Country specific household income: Belgium
| Value 33388 | Frequency | |
|---|---|---|
| 0 | No own income | 14 |
| 300 | 300 EUR net per month | 1 |
| 25000 | 25.000 EUR net per month | 1 |
| 999990 | NAP, all other countries | 59552 |
| 999999 | No answer | 560 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1642 | 60112 | 0 | 25000 |
Valid range from 0 to 25000
BG_INC Country specific household income: Bulgaria
| Value 33487 | Frequency | |
|---|---|---|
| 0 | No income | 11 |
| 25 | 25 BGN per month | 0 |
| 5000 | 5.000 BGN per month | 1 |
| 999990 | NAP, all other countries | 60751 |
| 999997 | Refused | 214 |
| 999998 | Don't know | 60 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 729 | 61025 | 0 | 5000 |
Valid range from 0 to 5000
CA_INC Country specific household income: Canada
| Value 33586 | Frequency | |
|---|---|---|
| 0 | No income | 8 |
| 150 | 150 CAD per month | 1 |
| 500 | 2 | |
| 530 | 1 | |
| 600 | 7 | |
| 650 | 1 | |
| 700 | 1 | |
| 800 | 2 | |
| 1000 | 6 | |
| 1100 | 2 | |
| 1200 | 5 | |
| 1300 | 2 | |
| 1338 | 1 | |
| 1350 | 1 | |
| 1400 | 2 | |
| 1410 | 1 | |
| 1480 | 1 | |
| 1500 | 5 | |
| 1600 | 5 | |
| 1660 | 1 | |
| 1700 | 1 | |
| 1750 | 1 | |
| 1800 | 5 | |
| 1900 | 5 | |
| 1950 | 1 | |
| 1952 | 1 | |
| 2000 | 17 | |
| 2075 | 1 | |
| 2076 | 1 | |
| 2100 | 2 | |
| 2170 | 1 | |
| 2200 | 4 | |
| 2267 | 1 | |
| 2300 | 2 | |
| 2311 | 1 | |
| 2400 | 3 | |
| 2500 | 11 | |
| 2530 | 1 | |
| 2600 | 6 | |
| 2622 | 1 | |
| 2700 | 2 | |
| 2800 | 7 | |
| 2900 | 2 | |
| 3000 | 34 | |
| 3150 | 1 | |
| 3200 | 8 | |
| 3400 | 4 | |
| 3500 | 19 | |
| 3540 | 1 | |
| 3600 | 6 | |
| 3617 | 1 | |
| 3642 | 1 | |
| 3670 | 1 | |
| 3700 | 1 | |
| 3800 | 4 | |
| 3900 | 2 | |
| 4000 | 40 | |
| 4200 | 6 | |
| 4250 | 1 | |
| 4300 | 1 | |
| 4306 | 1 | |
| 4400 | 1 | |
| 4500 | 13 | |
| 4600 | 3 | |
| 4800 | 4 | |
| 4850 | 1 | |
| 4900 | 1 | |
| 4950 | 1 | |
| 5000 | 31 | |
| 5066 | 1 | |
| 5200 | 6 | |
| 5300 | 1 | |
| 5333 | 1 | |
| 5400 | 2 | |
| 5500 | 10 | |
| 5600 | 1 | |
| 5680 | 1 | |
| 5800 | 2 | |
| 6000 | 40 | |
| 6240 | 1 | |
| 6300 | 2 | |
| 6400 | 1 | |
| 6500 | 7 | |
| 6666 | 1 | |
| 6700 | 2 | |
| 7000 | 28 | |
| 7200 | 3 | |
| 7225 | 1 | |
| 7300 | 1 | |
| 7375 | 1 | |
| 7388 | 1 | |
| 7400 | 1 | |
| 7500 | 7 | |
| 7800 | 2 | |
| 8000 | 22 | |
| 8200 | 2 | |
| 8400 | 1 | |
| 8500 | 3 | |
| 8750 | 1 | |
| 8800 | 1 | |
| 8840 | 1 | |
| 8900 | 2 | |
| 9000 | 20 | |
| 9200 | 1 | |
| 9400 | 1 | |
| 9500 | 1 | |
| 9600 | 2 | |
| 9700 | 1 | |
| 9800 | 2 | |
| 10000 | 25 | |
| 10300 | 1 | |
| 10500 | 3 | |
| 10800 | 1 | |
| 11000 | 4 | |
| 11300 | 1 | |
| 11500 | 1 | |
| 11600 | 1 | |
| 11667 | 1 | |
| 12000 | 13 | |
| 12200 | 1 | |
| 12400 | 1 | |
| 12500 | 3 | |
| 12599 | 1 | |
| 13000 | 5 | |
| 13024 | 1 | |
| 13500 | 2 | |
| 14000 | 10 | |
| 14400 | 1 | |
| 14500 | 1 | |
| 14920 | 1 | |
| 15000 | 13 | |
| 15500 | 2 | |
| 16000 | 4 | |
| 16414 | 1 | |
| 16500 | 1 | |
| 17000 | 3 | |
| 17400 | 1 | |
| 18000 | 2 | |
| 19000 | 2 | |
| 20000 | 8 | |
| 20120 | 1 | |
| 21000 | 1 | |
| 22000 | 1 | |
| 23000 | 1 | |
| 25000 | 1 | |
| 25500 | 1 | |
| 27000 | 2 | |
| 28000 | 1 | |
| 29000 | 1 | |
| 30000 | 2 | |
| 34000 | 1 | |
| 40000 | 4 | |
| 50000 | 1 | |
| 60000 | 1 | |
| 66000 | 1 | |
| 67000 | 1 | |
| 80000 | 1 | |
| 100000 | 1 | |
| 110000 | 1 | |
| 130000 | 2 | |
| 160000 | 1 | |
| 170000 | 1 | |
| 180000 | 1 | |
| 220000 | 1 | |
| 250000 | 1 | |
| 260000 | 1 | |
| 1000000 | 1.000.000 CAD per month | 3 |
| 9999990 | NAP, all other countries | 60782 |
| 9999998 | Don't know | 2 |
| 9999999 | No answer, refused | 316 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 654 | 61100 |
Valid range from 0 to 1000000
CH_INC Country specific household income: Switzerland
| Value 33685 | Frequency | |
|---|---|---|
| 0 | No income | 18 |
| 1700 | Less than 2.900 CHF per month | 73 |
| 3500 | 2.900-4.099 CHF | 87 |
| 4650 | 4.100-5.199 CHF | 121 |
| 5700 | 5.200-6.199 CHF | 97 |
| 6750 | 6.200-7.299 CHF | 131 |
| 7850 | 7.300-8.399 CHF | 84 |
| 9150 | 8.400-9.899 CHF | 109 |
| 11050 | 9.900-12.099 CHF | 117 |
| 13600 | 12.100-15.099 CHF | 75 |
| 16600 | 15.100 or more CHF per month | 93 |
| 999990 | NAP, all other countries | 60517 |
| 999997 | Refused | 76 |
| 999998 | Don't know | 87 |
| 999999 | No answer | 69 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1005 | 60749 | 0 | 16600 |
Valid range from 0 to 16600
CL_INC Country specific household income: Chile
| Value 33784 | Frequency | |
|---|---|---|
| 20000 | Less than 35.000 CLP per month | 6 |
| 45000 | 35.001-56.000 CLP | 11 |
| 66000 | 56.001-78.000 CLP | 33 |
| 90000 | 78.001- 101.000 CLP | 45 |
| 122000 | 101.001-134.000 CLP | 65 |
| 155000 | 134.001-179.000 CLP | 110 |
| 200000 | 179.001-224.000 CLP | 148 |
| 250000 | 224.001-291.000 CLP | 123 |
| 310000 | 291.001-358.000 CLP | 140 |
| 400000 | 358.001-448.000 CLP | 137 |
| 750000 | 448.001-1.000.000 CLP | 169 |
| 1500000 | 1.000.001-2.000.000 CLP | 42 |
| 2500000 | 2.000.001-3.000.000 CLP | 14 |
| 3100000 | More than 3.000.000 CLP per month | 9 |
| 9999990 | NAP, all other countries | 60190 |
| 9999998 | Don't know | 153 |
| 9999999 | No answer | 359 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1052 | 60702 |
Valid range from 20000 to 3100000
CN_INC Country specific household income: China
| Value 33883 | Frequency | |
|---|---|---|
| 0 | No own income | 35 |
| 200 | 200 CNY per year | 1 |
| 900000 | 900.000 CNY per year | 2 |
| 9999996 | The annual income is more than a million | 7 |
| 9999990 | NAP, all other countries | 55808 |
| 9999997 | Refused | 238 |
| 9999998 | Don't know | 393 |
| 9999999 | No answer | 39 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 5276 | 56478 | 0 | 9999996 |
Valid range from 0 to 9999996
CZ_INC Country specific household income: Czech Republic
| Value 33982 | Frequency | |
|---|---|---|
| 2000 | Up to 4.000 CZK per month | 1 |
| 5000 | 4.001-6.000 CZK | 1 |
| 7000 | 6.001-8.000 CZK | 7 |
| 9000 | 8.001-10.000 CZK | 40 |
| 11250 | 10.001-12.500 CZK | 62 |
| 13750 | 12.501-15.000 CZK | 58 |
| 16250 | 15.001-17.500 CZK | 48 |
| 18750 | 17.501-20.000 CZK | 126 |
| 22500 | 20.001-25.000 CZK | 226 |
| 27500 | 25.001-30.000 CZK | 187 |
| 35000 | 30.001-40.000 CZK | 299 |
| 45000 | 40.000-50.000 CZK | 126 |
| 62500 | 50.001-75.000 CZK | 55 |
| 87500 | 75.001-100.000 CZK | 2 |
| 112500 | 100.001 CZK or more per month | 0 |
| 999990 | NAP, all other countries | 59950 |
| 999998 | Don't know | 139 |
| 999999 | No answer | 427 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1238 | 60516 | 2000 | 87500 |
Valid range from 2000 to 112500
DE_INC Country specific household income: Germany
| Value 34081 | Frequency | |
|---|---|---|
| 0 | No income | 6 |
| 100 | 100 EUR per month | 1 |
| 33000 | 33.000 EUR per month | 1 |
| 999990 | NAP, all other countries | 59988 |
| 999997 | Refused | 235 |
| 999999 | No answer | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1520 | 60234 | 0 | 33000 |
Valid range from 0 to 33000
DK_INC Country specific household income: Denmark
| Value 34180 | Frequency | |
|---|---|---|
| 70000 | Below 100.000 DKK per year | 66 |
| 125000 | 100.000-149.999 DKK | 73 |
| 175000 | 150.000-199.999 DKK | 75 |
| 225000 | 200.000-249.999 DKK | 93 |
| 275000 | 250.000-299.999 DKK | 96 |
| 350000 | 300.000-399.999 DKK | 168 |
| 450000 | 400.000-499.999 DKK | 132 |
| 550000 | 500.000-599.999 DKK | 119 |
| 650000 | 600.000-699.999 DKK | 120 |
| 750000 | 700.000-799.999 DKK | 124 |
| 850000 | 800.000-899.999 DKK | 115 |
| 950000 | 900.000-999.999 DKK | 90 |
| 1050000 | 1 million DKK or more per year | 124 |
| 9999990 | NAP, all other countries | 60351 |
| 9999999 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1395 | 60359 | 70000 | 1050000 |
Valid range from 70000 to 1050000
ES_INC Country specific household income: Spain
| Value 34279 | Frequency | |
|---|---|---|
| 0 | No income | 6 |
| 250 | 300 EUR or less per month | 13 |
| 450 | 301-600 EUR | 131 |
| 750 | 601-900 EUR | 262 |
| 1050 | 901-1.200 EUR | 310 |
| 1500 | 1.201-1.800 EUR | 427 |
| 2100 | 1.801-2.400 EUR | 328 |
| 2700 | 2.401-3.000 EUR | 234 |
| 3750 | 3.001-4.500 EUR | 159 |
| 5250 | 4.501-6.000 EUR | 48 |
| 7000 | More than 6.000 EUR per month | 22 |
| 999990 | NAP, all other countries | 59159 |
| 999998 | Don't know | 189 |
| 999999 | No answer | 466 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1940 | 59814 |
Valid range from 0 to 7000
FI_INC Country specific household income: Finland
| Value 34378 | Frequency | |
|---|---|---|
| 0 | No income | 11 |
| 1 | 1 EUR per month | 2 |
| 50 | 50 EUR | 1 |
| 60000 | 60.000 EUR per month | 1 |
| 999990 | NAP, all other countries | 60583 |
| 999999 | No answer | 376 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 795 | 60959 | 0 | 60000 |
Valid range from 0 to 60000
FR_INC Country specific household income: France
| Value 34477 | Frequency | |
|---|---|---|
| 0 | No income | 10 |
| 100 | 100 EUR per month | 1 |
| 90000 | 90.000 EUR per month | 1 |
| 999990 | NAP, all other countries | 59345 |
| 999999 | No answer | 727 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1682 | 60072 | 0 | 90000 |
Valid range from 0 to 90000
GB_INC Country specific household income: Great Britain
| Value 34576 | Frequency | |
|---|---|---|
| 590 | Less than 770 GBP per month | 93 |
| 910 | 771-1.000 GBP | 90 |
| 1200 | 1001-1.300 GBP | 86 |
| 1500 | 1.301-1.700 GBP | 73 |
| 1900 | 1.701-2.200 GBP | 73 |
| 2400 | 2.201-2.700 GBP | 67 |
| 3000 | 2.701-3.300 GBP | 86 |
| 3700 | 3.301-4.200 GBP | 84 |
| 4800 | 4.201-5.600 GBP | 64 |
| 7200 | 5.601 GBP or more per month | 81 |
| 999990 | NAP, all other countries | 60804 |
| 999997 | Refused | 91 |
| 999998 | Don't know | 62 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 797 | 60957 | 590 | 7200 |
Valid range from 590 to 7200
HR_INC Country specific household income: Croatia
| Value 34675 | Frequency | |
|---|---|---|
| 0 | No own income | 1 |
| 300 | 300 HRK per month | 2 |
| 30000 | 30.000 HRK per month | 3 |
| 999990 | NAP, all other countries | 60754 |
| 999997 | Refused | 197 |
| 999998 | Don't know | 61 |
| 999999 | No answer | 75 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 667 | 61087 | 0 | 30000 |
Valid range from 0 to 30000
HU_INC Country specific household income: Hungary
| Value 34774 | Frequency | |
|---|---|---|
| 0 | No own income | 1 |
| 22500 | 22.500 HUF per month | 1 |
| 800000 | 800.000 HUF per month | 1 |
| 999990 | NAP, all other countries | 60742 |
| 999999 | No answer | 590 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 422 | 61332 | 0 | 800000 |
Valid range from 0 to 800000
IE_INC Country specific household income: Ireland
| Value 34873 | Frequency | |
|---|---|---|
| 0 | No income | 1 |
| 5000 | Under 6.000 EUR per year | 2 |
| 7750 | 6.001-9.500 EUR | 18 |
| 10750 | 9.501-12.000 EUR | 50 |
| 15000 | 12.001-18.000 EUR | 75 |
| 21000 | 18.001-24.000 EUR | 114 |
| 27000 | 24.001-30.000 EUR | 60 |
| 33000 | 30.001-36.000 EUR | 89 |
| 48000 | 36.001-60.000 EUR | 216 |
| 75000 | 60.001-90.000 EUR | 118 |
| 105000 | 90.001-120.000 EUR | 69 |
| 140000 | 120.001-160.000 EUR | 26 |
| 170000 | 160.001 EUR and more per year | 25 |
| 999990 | NAP, all other countries | 60539 |
| 999997 | Refused | 14 |
| 999998 | Don't know | 16 |
| 999999 | No answer | 322 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 863 | 60891 | 0 | 170000 |
Valid range from 0 to 170000
IL_INC Country specific household income: Israel
| Value 34972 | Frequency | |
|---|---|---|
| 1500 | 3.000 ILS and less per month | 58 |
| 3750 | 3.001-4.500 ILS | 82 |
| 5250 | 4.501-6.000 ILS | 128 |
| 7000 | 6.001-8.000 ILS | 109 |
| 9000 | 8.001-10.000 ILS | 99 |
| 11000 | 10.001-12.000 ILS | 83 |
| 13500 | 12.001-15.000 ILS | 83 |
| 17500 | 15.001-20.000 ILS | 91 |
| 24000 | 20.001-28.000 ILS | 53 |
| 32000 | More than 28.001 ILS per month | 29 |
| 999990 | NAP, all other countries | 60534 |
| 999997 | Refused | 212 |
| 999998 | Don't know | 142 |
| 999999 | No answer | 51 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 815 | 60939 |
Valid range from 1500 to 32000
IN_INC Country specific household income: India
| Value 35071 | Frequency | |
|---|---|---|
| 1500 | Less than 3.000 INR per month | 51 |
| 4500 | 3.000-6.000 INR | 236 |
| 8000 | 6.001-10.000 INR | 226 |
| 15000 | 10.001-20.000 INR | 411 |
| 35000 | 20.001-50.000 INR | 179 |
| 75000 | 50.001-100.000 INR | 26 |
| 125000 | More than 100.000 INR per month | 1 |
| 999990 | NAP, all other countries | 60094 |
| 999998 | Can't say | 530 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1130 | 60624 | 1500 | 125000 |
Valid range from 1500 to 125000
IS_INC Country specific household income: Iceland
| Value 35170 | Frequency | |
|---|---|---|
| 50000 | 99.999 ISK or less per month | 5 |
| 125000 | 100.000-149.999 ISK | 10 |
| 175000 | 150.000-199.999 ISK | 31 |
| 225000 | 200.000-249.999 ISK | 37 |
| 275000 | 250.000-299.999 ISK | 35 |
| 325000 | 300.000-349.999 ISK | 42 |
| 375000 | 350.000-399.999 ISK | 52 |
| 425000 | 400.000-449.999 ISK | 46 |
| 475000 | 450.000-499.999 ISK | 48 |
| 525000 | 500.000-549.999 ISK | 56 |
| 575000 | 550.000-599.999 ISK | 45 |
| 625000 | 600.000-649.999 ISK | 53 |
| 675000 | 650.000-699.999 ISK | 46 |
| 750000 | 700.000-799.999 ISK | 68 |
| 900000 | 800.000-999.999 ISK | 158 |
| 1100000 | 1.000.000-1.199.999 ISK | 73 |
| 1300000 | 1.200.000 ISK or more per month | 98 |
| 9999990 | NAP, all other countries | 60582 |
| 9999997 | Refused | 104 |
| 9999998 | Don't know | 91 |
| 9999999 | No answer | 74 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 903 | 60851 |
Valid range from 50000 to 1300000
JP_INC Country specific household income: Japan
| Value 35269 | Frequency | |
|---|---|---|
| 1000000 | Less than 2.000.000 JPY per year | 114 |
| 2500000 | 2.000.000-2.999.999 JPY | 167 |
| 3500000 | 3.000.000-3.999.999 JPY | 163 |
| 4500000 | 4.000.000-4.999.999 JPY | 135 |
| 5500000 | 5.000.000-5.999.999 JPY | 115 |
| 6500000 | 6.000.000-6.999.999 JPY | 88 |
| 7500000 | 7.000.000-7.999.999 JPY | 72 |
| 8500000 | 8.000.000-8.999.999 JPY | 58 |
| 9500000 | 9.000.000-9.999.999 JPY | 53 |
| 11000000 | 10.000.000-11.999.999 JPY | 59 |
| 13500000 | 12.000.000-14.999.999 JPY | 35 |
| 20000000 | 15.000.000 JPY and more per year | 25 |
| 99999990 | NAP, all other countries | 60542 |
| 99999999 | No answer | 128 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1084 | 60670 |
Valid range from 1000000 to 20000000
KR_INC Country specific household income: Korea (South)
| Value 35368 | Frequency | |
|---|---|---|
| 0 | No own income | 23 |
| 300000 | Less than 500.000 KRW per month | 165 |
| 750000 | 500.000-999.999 KRW | 112 |
| 1250000 | 1.000.000-1.499.999 KRW | 115 |
| 1750000 | 1.500.000-1.999.999 KRW | 94 |
| 2250000 | 2.000.000-2.499.999 KRW | 121 |
| 2750000 | 2.500.000-2.999.999 KRW | 85 |
| 3250000 | 3.000.000-3.499.999 KRW | 132 |
| 3750000 | 3.500.000-3.999.999 KRW | 81 |
| 4250000 | 4.000.000-4.499.999 KRW | 111 |
| 4750000 | 4.500.000-4.999.999 KRW | 38 |
| 5250000 | 5.000.000-5.499.999 KRW | 80 |
| 5750000 | 5.500.000-5.999.999 KRW | 20 |
| 6250000 | 6.000.000-6.499.999 KRW | 57 |
| 6750000 | 6.500.000-6.999.999 KRW | 17 |
| 7250000 | 7.000.000-7.499.999 KRW | 32 |
| 7750000 | 7.500.000-7.999.999 KRW | 10 |
| 8250000 | 8.000.000-8.499.999 KRW | 20 |
| 8750000 | 8.500.000-8.999.999 KRW | 7 |
| 9250000 | 9.000.000-9.499.999 KRW | 7 |
| 9750000 | 9.500.000-9.999.999 KRW | 1 |
| 10250000 | 10.000.000 KRW and more per month | 64 |
| 99999990 | NAP, other countries | 60358 |
| 99999998 | Don't know | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1392 | 60362 | 0 | 10250000 |
Valid range from 0 to 10250000
LT_INC Country specific household income: Lithuania
| Value 35467 | Frequency | |
|---|---|---|
| 0 | No income | 5 |
| 160 | 160 LTL per month | 1 |
| 200 | 1 | |
| 245 | 1 | |
| 300 | 2 | |
| 315 | 2 | |
| 350 | 6 | |
| 360 | 1 | |
| 369 | 1 | |
| 400 | 2 | |
| 450 | 3 | |
| 465 | 1 | |
| 500 | 1 | |
| 510 | 1 | |
| 518 | 1 | |
| 520 | 3 | |
| 524 | 1 | |
| 526 | 1 | |
| 530 | 1 | |
| 550 | 1 | |
| 600 | 10 | |
| 620 | 1 | |
| 623 | 1 | |
| 626 | 1 | |
| 629 | 1 | |
| 630 | 3 | |
| 650 | 8 | |
| 660 | 1 | |
| 670 | 3 | |
| 680 | 7 | |
| 681 | 1 | |
| 700 | 15 | |
| 710 | 1 | |
| 715 | 1 | |
| 720 | 5 | |
| 723 | 1 | |
| 725 | 1 | |
| 730 | 3 | |
| 740 | 8 | |
| 749 | 1 | |
| 750 | 6 | |
| 760 | 7 | |
| 765 | 1 | |
| 780 | 4 | |
| 790 | 4 | |
| 800 | 19 | |
| 804 | 1 | |
| 810 | 1 | |
| 815 | 1 | |
| 820 | 1 | |
| 830 | 1 | |
| 836 | 1 | |
| 840 | 1 | |
| 850 | 3 | |
| 860 | 6 | |
| 862 | 1 | |
| 870 | 1 | |
| 880 | 3 | |
| 890 | 3 | |
| 895 | 1 | |
| 897 | 1 | |
| 900 | 12 | |
| 910 | 2 | |
| 920 | 3 | |
| 941 | 1 | |
| 950 | 3 | |
| 955 | 1 | |
| 960 | 1 | |
| 965 | 1 | |
| 970 | 3 | |
| 980 | 5 | |
| 983 | 1 | |
| 1000 | 26 | |
| 1020 | 1 | |
| 1035 | 1 | |
| 1049 | 1 | |
| 1100 | 12 | |
| 1120 | 1 | |
| 1128 | 1 | |
| 1135 | 1 | |
| 1150 | 1 | |
| 1170 | 1 | |
| 1200 | 19 | |
| 1300 | 13 | |
| 1320 | 1 | |
| 1330 | 1 | |
| 1340 | 1 | |
| 1350 | 1 | |
| 1360 | 1 | |
| 1400 | 13 | |
| 1437 | 1 | |
| 1450 | 2 | |
| 1460 | 1 | |
| 1500 | 34 | |
| 1524 | 1 | |
| 1525 | 1 | |
| 1540 | 1 | |
| 1550 | 2 | |
| 1573 | 1 | |
| 1593 | 1 | |
| 1600 | 22 | |
| 1610 | 1 | |
| 1620 | 1 | |
| 1630 | 1 | |
| 1650 | 3 | |
| 1680 | 1 | |
| 1700 | 21 | |
| 1720 | 1 | |
| 1735 | 1 | |
| 1740 | 1 | |
| 1750 | 1 | |
| 1800 | 20 | |
| 1839 | 1 | |
| 1870 | 1 | |
| 1895 | 1 | |
| 1900 | 4 | |
| 1950 | 2 | |
| 1980 | 1 | |
| 1990 | 1 | |
| 2000 | 42 | |
| 2068 | 1 | |
| 2100 | 11 | |
| 2150 | 1 | |
| 2170 | 2 | |
| 2200 | 8 | |
| 2250 | 1 | |
| 2300 | 10 | |
| 2350 | 1 | |
| 2360 | 2 | |
| 2400 | 11 | |
| 2496 | 1 | |
| 2500 | 23 | |
| 2600 | 8 | |
| 2617 | 1 | |
| 2700 | 13 | |
| 2750 | 2 | |
| 2800 | 14 | |
| 2830 | 1 | |
| 2840 | 1 | |
| 2890 | 1 | |
| 2900 | 4 | |
| 2950 | 1 | |
| 3000 | 57 | |
| 3100 | 5 | |
| 3123 | 1 | |
| 3150 | 2 | |
| 3194 | 1 | |
| 3200 | 9 | |
| 3300 | 1 | |
| 3400 | 3 | |
| 3500 | 20 | |
| 3600 | 8 | |
| 3700 | 6 | |
| 3800 | 8 | |
| 3846 | 1 | |
| 3900 | 2 | |
| 4000 | 35 | |
| 4100 | 2 | |
| 4200 | 2 | |
| 4300 | 3 | |
| 4400 | 1 | |
| 4500 | 15 | |
| 4700 | 1 | |
| 4800 | 1 | |
| 5000 | 15 | |
| 5068 | 1 | |
| 5100 | 1 | |
| 5200 | 1 | |
| 5500 | 3 | |
| 5600 | 1 | |
| 5700 | 1 | |
| 6000 | 6 | |
| 6500 | 3 | |
| 7000 | 5 | |
| 7050 | 1 | |
| 7300 | 1 | |
| 8000 | 3 | |
| 9000 | 9.000 LTL per month | 1 |
| 999990 | NAP, all other countries | 60567 |
| 999997 | Refused | 286 |
| 999998 | Don't know | 79 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 822 | 60932 |
Valid range from 0 to 9000
LV_INC Country specific household income: Latvia
| Value 35566 | Frequency | |
|---|---|---|
| 0 | No income | 2 |
| 35 | 35 LVL per month | 2 |
| 3800 | 3.800 LVL per month | 1 |
| 999990 | NAP, all other countries | 60754 |
| 999997 | Refused | 206 |
| 999998 | Don't know | 142 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 652 | 61102 | 0 | 3800 |
Valid range from 0 to 3800
MX_INC Country specific household income: Mexico
| Value 35665 | Frequency | |
|---|---|---|
| 0 | No income | 157 |
| 250 | 250 MXN per month | 1 |
| 90000 | 90.000 MXN per month | 1 |
| 999990 | NAP, all other countries | 60227 |
| 999997 | Refused | 179 |
| 999998 | Don't know | 250 |
| 999999 | No answer | 183 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 915 | 60839 | 0 | 90000 |
Valid range from 0 to 90000
NL_INC Country specific household income: Netherlands
| Value 35764 | Frequency | |
|---|---|---|
| 0 | No income | 38 |
| 500 | Less than 750 EUR per month | 25 |
| 875 | 750-1000 EUR | 63 |
| 1125 | 1000-1250 EUR | 51 |
| 1375 | 1250-1500 EUR | 82 |
| 1625 | 1500-1750 EUR | 70 |
| 1875 | 1750-2000 EUR | 110 |
| 2125 | 2000-2250 EUR | 88 |
| 2375 | 2250-2500 EUR | 93 |
| 2750 | 2500-3000 EUR | 130 |
| 3250 | 3000-3500 EUR | 139 |
| 3750 | 3500-4000 EUR | 111 |
| 4500 | 4000-5000 EUR | 101 |
| 5500 | Over 5000 EUR per month | 91 |
| 999990 | NAP, other countries | 60439 |
| 999999 | No answer | 123 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1192 | 60562 | 0 | 5500 |
Valid range from 0 to 5500
NO_INC Country specific household income: Norway
| Value 35863 | Frequency | |
|---|---|---|
| 0 | No income | 17 |
| 1000 | 1.000 NOK per year | 14 |
| 55000000 | 55.000.000 NOK per year | 1 |
| 99999990 | NAP, all other countries | 60310 |
| 99999999 | No answer | 166 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1278 | 60476 | 0 | 55000000 |
Valid range from 0 to 55000000
PH_INC Country specific household income: Philippines
| Value 35962 | Frequency | |
|---|---|---|
| 0 | No income | 13 |
| 300 | 300 PHP per month | 1 |
| 800000 | 800.000 PHP per month | 1 |
| 999990 | NAP, all other countries | 60554 |
| 999997 | Refused | 12 |
| 999998 | Don't know | 18 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1170 | 60584 | 0 | 800000 |
Valid range from 0 to 800000
PL_INC Country specific household income: Poland
| Value 36061 | Frequency | |
|---|---|---|
| 0 | No income | 7 |
| 97 | 97 PLN per month | 1 |
| 180000 | 180.000 PLN per month | 1 |
| 999990 | NAP, all other countries | 60639 |
| 999998 | Don't know | 259 |
| 999999 | No answer | 239 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 617 | 61137 | 0 | 180000 |
Valid range from 0 to 180000
PT_INC Country specific household income: Portugal
| Value 36160 | Frequency | |
|---|---|---|
| 0 | No income | 43 |
| 305 | Less than 476 EUR per month | 35 |
| 563 | 477-648 EUR | 37 |
| 730 | 649-811 EUR | 46 |
| 907 | 812-1002 EUR | 30 |
| 1099 | 1003-1194 EUR | 28 |
| 1303 | 1195-1411 EUR | 54 |
| 1541 | 1412-1669 EUR | 48 |
| 1856 | 1670-2041 EUR | 40 |
| 2397 | 2042-2752 EUR | 26 |
| 3108 | More than 2752 EUR per month | 36 |
| 999990 | NAP, all other countries | 60753 |
| 999997 | Refused | 423 |
| 999998 | Don't know | 155 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 423 | 61331 |
Valid range from 0 to 3108
RU_INC Country specific household income: Russia
| Value 36259 | Frequency | |
|---|---|---|
| 1500 | 1.500 RUB per month | 1 |
| 200000 | 200.000 RUB per month | 2 |
| 999990 | NAP, all other countries | 60229 |
| 999997 | Refused | 286 |
| 999998 | Don't know | 166 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1073 | 60681 | 1500 | 200000 |
Valid range from 1500 to 200000
SE_INC Country specific household income: Sweden
| Value 36358 | Frequency | |
|---|---|---|
| 0 | No income | 9 |
| 2000 | 2.000 SEK per month | 2 |
| 999000 | 999.000 SEK or more per month | 1 |
| 999990 | NAP, all other countries | 60694 |
| 999999 | No answer | 128 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 932 | 60822 | 0 | 999000 |
Valid range from 0 to 999000
SI_INC Country specific household income: Slovenia
| Value 36457 | Frequency | |
|---|---|---|
| 0 | No income | 17 |
| 1 | 1 EUR per month | 1 |
| 9 | 1 | |
| 30 | 1 | |
| 88 | 1 | |
| 180 | 2 | |
| 200 | 7 | |
| 218 | 1 | |
| 250 | 1 | |
| 260 | 1 | |
| 279 | 1 | |
| 290 | 1 | |
| 300 | 1 | |
| 310 | 1 | |
| 333 | 1 | |
| 340 | 2 | |
| 360 | 1 | |
| 390 | 1 | |
| 395 | 1 | |
| 400 | 7 | |
| 420 | 3 | |
| 430 | 3 | |
| 440 | 1 | |
| 448 | 1 | |
| 450 | 6 | |
| 456 | 1 | |
| 460 | 1 | |
| 480 | 3 | |
| 490 | 4 | |
| 491 | 1 | |
| 500 | 18 | |
| 510 | 1 | |
| 512 | 1 | |
| 520 | 3 | |
| 550 | 3 | |
| 560 | 1 | |
| 570 | 1 | |
| 580 | 2 | |
| 583 | 1 | |
| 600 | 11 | |
| 630 | 1 | |
| 640 | 1 | |
| 650 | 3 | |
| 700 | 12 | |
| 740 | 2 | |
| 770 | 1 | |
| 780 | 1 | |
| 800 | 18 | |
| 820 | 1 | |
| 850 | 3 | |
| 860 | 1 | |
| 880 | 1 | |
| 900 | 20 | |
| 904 | 1 | |
| 905 | 1 | |
| 920 | 1 | |
| 950 | 2 | |
| 970 | 1 | |
| 998 | 2 | |
| 999 | 1 | |
| 1000 | 44 | |
| 1040 | 1 | |
| 1050 | 1 | |
| 1080 | 1 | |
| 1100 | 27 | |
| 1150 | 1 | |
| 1160 | 1 | |
| 1190 | 1 | |
| 1200 | 43 | |
| 1205 | 1 | |
| 1250 | 2 | |
| 1280 | 1 | |
| 1300 | 27 | |
| 1310 | 1 | |
| 1350 | 1 | |
| 1360 | 1 | |
| 1400 | 30 | |
| 1500 | 39 | |
| 1550 | 1 | |
| 1600 | 19 | |
| 1620 | 1 | |
| 1650 | 1 | |
| 1700 | 12 | |
| 1750 | 2 | |
| 1800 | 18 | |
| 1830 | 1 | |
| 1900 | 5 | |
| 2000 | 43 | |
| 2100 | 4 | |
| 2200 | 8 | |
| 2300 | 2 | |
| 2400 | 3 | |
| 2500 | 21 | |
| 2600 | 3 | |
| 2700 | 3 | |
| 2800 | 2 | |
| 2900 | 2 | |
| 3000 | 21 | |
| 3200 | 2 | |
| 3500 | 5 | |
| 3600 | 1 | |
| 3700 | 1 | |
| 4000 | 10 | |
| 4200 | 1 | |
| 4500 | 2 | |
| 5000 | 1 | |
| 6500 | 1 | |
| 7500 | 7.500 EUR per month | 1 |
| 999990 | NAP, all other countries | 60720 |
| 999997 | Refused | 3 |
| 999998 | Don't know | 147 |
| 999999 | No answer | 274 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 610 | 61144 |
Valid range from 0 to 7500
SK_INC Country specific household income: Slovakia
| Value 36556 | Frequency | |
|---|---|---|
| 0 | No income | 3 |
| 75 | Up to 150 EUR per month (approx. 4.500 SKK) | 6 |
| 225 | 151 - 300 (approx. 4.500-9.000 SKK) | 30 |
| 375 | 301 - 450 (approx. 9.000-13.500 SKK) | 95 |
| 525 | 451 - 600 (approx. 13.500-18.000 SKK) | 79 |
| 675 | 601 - 750 (approx. 18.000-22.500 SKK) | 109 |
| 825 | 751 - 900 (approx. 22.500-27.000 SKK) | 115 |
| 1050 | 901 - 1.200 (approx. 27.000-36.000 SKK) | 127 |
| 1350 | 1.201 - 1.500 (approx. 36.000- 45.000 SKK) | 71 |
| 1750 | 1.501 - 2.000 (approx. 45.000-60.000 SKK) | 57 |
| 2500 | 2.001 - 3.000 (approx. 60.000-90.000 SKK) | 18 |
| 3000 | More than 3.000 EUR per month (more than 90.000 SKK) | 4 |
| 999990 | NAP, all other countries | 60626 |
| 999999 | No answer | 414 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 714 | 61040 | 0 | 3000 |
Valid range from 0 to 3000
TR_INC Country specific household income: Turkey
| Value 36655 | Frequency | |
|---|---|---|
| 999990 | Not available; NAP, all other countries | 61754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 61754 |
TW_INC Country specific household income: Taiwan
| Value 36754 | Frequency | |
|---|---|---|
| 0 | No income | 30 |
| 5000 | Up to 10.000 TWD per month | 71 |
| 15000 | 10.001-20.000 TWD | 84 |
| 25000 | 20.001-30.000 TWD | 133 |
| 35000 | 30.001-40.000 TWD | 124 |
| 45000 | 40.001-50.000 TWD | 135 |
| 55000 | 50.001-60.000 TWD | 144 |
| 65000 | 60.001-70.000 TWD | 140 |
| 75000 | 70.001-80.000 TWD | 139 |
| 85000 | 80.001-90.000 TWD | 87 |
| 95000 | 90.001-100.000 TWD | 98 |
| 105000 | 100.001-110.000 TWD | 80 |
| 115000 | 110.001-120.000 TWD | 48 |
| 125000 | 120.001-130.000 TWD | 45 |
| 135000 | 130.001-140.000 TWD | 39 |
| 145000 | 140.001-150.000 TWD | 32 |
| 155000 | 150.001-160.000 TWD | 31 |
| 165000 | 160.001-170.000 TWD | 13 |
| 175000 | 170.001-180.000 TWD | 14 |
| 185000 | 180.001-190.000 TWD | 12 |
| 195000 | 190.001-200.000 TWD | 23 |
| 250000 | 200.001-300.000 TWD | 30 |
| 350000 | 300.001-400.000 TWD | 14 |
| 450000 | 400.001-500.000 TWD | 2 |
| 750000 | 500.001-1.000.000 TWD | 9 |
| 1250000 | More than 1.000.000 TWD per month | 3 |
| 9999990 | NAP, other countries | 59682 |
| 9999997 | Refused | 49 |
| 9999998 | Don't know | 443 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1580 | 60174 | 0 | 1250000 |
Valid range from 0 to 1250000
US_INC Country specific household income: United States
| Value 36853 | Frequency | |
|---|---|---|
| 500 | Under 1.000 USD per year | 13 |
| 2000 | 1.000-2.999 USD | 13 |
| 3500 | 3.000-3.999 USD | 15 |
| 4500 | 4.000-4.999 USD | 7 |
| 5500 | 5.000-5.999 USD | 4 |
| 6500 | 6.000-6.999 USD | 14 |
| 7500 | 7.000-7.999 USD | 12 |
| 9000 | 8.000-9.999 USD | 27 |
| 11250 | 10.000-12.499 USD | 53 |
| 13750 | 12.500-14.999 USD | 40 |
| 16250 | 15.000-17.499 USD | 41 |
| 18750 | 17.500-19.999 USD | 33 |
| 21250 | 20.000-22.499 USD | 45 |
| 23750 | 22.500-24.999 USD | 39 |
| 27500 | 25.000-29.999 USD | 67 |
| 32500 | 30.000-34.999 USD | 55 |
| 37500 | 35.000-39.999 USD | 78 |
| 45000 | 40.000-49.999 USD | 101 |
| 55000 | 50.000-59.999 USD | 74 |
| 67500 | 60.000-74.999 USD | 98 |
| 82500 | 75.000-89.999 USD | 105 |
| 100000 | 90.000-109.999 USD | 64 |
| 120000 | 110.000-129.999 USD | 41 |
| 140000 | 130.000-149.999 USD | 28 |
| 160000 | 150.000 USD or more per year | 98 |
| 999990 | NAP, all other countries | 60452 |
| 999997 | Refused | 66 |
| 999998 | Don't know | 71 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1165 | 60589 | 500 | 160000 |
Valid range from 500 to 160000
VE_INC Country specific household income: Venezuela
| Value 36952 | Frequency | |
|---|---|---|
| 800 | 800 VEF per month | 2 |
| 55000 | 55.000 VEF per month | 1 |
| 999990 | NAP, all other countries | 60757 |
| 999999 | No answer | 77 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 920 | 60834 | 800 | 55000 |
Valid range from 800 to 55000
ZA_INC Country specific household income: South Africa
| Value 37051 | Frequency | |
|---|---|---|
| 0 | No income | 62 |
| 250 | 500 ZAR and less per month | 74 |
| 625 | 501-750 ZAR | 74 |
| 875 | 751-1.000 ZAR | 93 |
| 1250 | 1.001-1.500 ZAR | 294 |
| 1750 | 1.501-2.000 ZAR | 216 |
| 2500 | 2.001-3.000 ZAR | 304 |
| 4000 | 3.001-5.000 ZAR | 245 |
| 6250 | 5.001-7.500 ZAR | 168 |
| 8750 | 7.501-10.000 ZAR | 106 |
| 12500 | 10.001-15.000 ZAR | 126 |
| 17500 | 15.001-20.000 ZAR | 79 |
| 25000 | 20.001-30.000 ZAR | 70 |
| 40000 | 30.001-50.000 ZAR | 37 |
| 60000 | More than 50.000 ZAR per month | 17 |
| 999990 | NAP, other countries | 59207 |
| 999997 | Refused | 309 |
| 999998 | Don't know | 216 |
| 999999 | No answer | 57 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1965 | 59789 | 0 | 60000 |
Valid range from 0 to 60000
MARITAL Legal partnership status
| Value 37150 | Frequency | |
|---|---|---|
| 1 | Married | 34308 |
| 2 | Civil partnership | 1265 |
| 3 | Separated from spouse/ civil partner (still legally married/ | 1132 |
| 4 | Divorced from spouse/ legally separated from civil partner | 4197 |
| 5 | Widowed/ civil partner died | 5158 |
| 6 | Never married/ never in a civil partnership, single | 15081 |
| 7 | Refused | 142 |
| 8 | Don't know | 0 |
| 9 | No answer | 471 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61141 | 613 | 1 | 6 |
Valid range from 1 to 6
URBRURAL Place of living: urban - rural
| Value 37249 | Frequency | |
|---|---|---|
| 1 | A big city | 18123 |
| 2 | The suburbs or outskirts of a big city | 9507 |
| 3 | A town or a small city | 14219 |
| 4 | A country village | 16731 |
| 5 | A farm or home in the country | 2762 |
| 7 | Other answer | 4 |
| 9 | No answer | 408 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61346 | 408 | 1 | 7 |
Valid range from 1 to 7
AR_REG Country specific region: Argentina
| Value 37348 | Frequency | |
|---|---|---|
| 1 | Buenos Aires Metropolitan Area | 434 |
| 2 | Pampeana Region (center) | 225 |
| 3 | Cuyo Region (center west) | 51 |
| 4 | Northwest | 134 |
| 5 | Northeast | 65 |
| 6 | Patagonia Region (South) | 68 |
| 0 | NAP, other countries | 60777 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 977 | 60777 | 1 | 6 |
Valid range from 1 to 6
AT_REG Country specific region: Austria
| Value 37447 | Frequency | |
|---|---|---|
| 1 | Vorarlberg | 53 |
| 2 | Tirol | 102 |
| 3 | Salzburg | 74 |
| 4 | Oberoesterreich | 185 |
| 5 | Kaernten | 77 |
| 6 | Steiermark | 203 |
| 7 | Burgenland | 44 |
| 8 | Niederoesterreich | 220 |
| 9 | Wien | 224 |
| 0 | NAP, other countries | 60572 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1182 | 60572 |
Valid range from 1 to 9
AU_REG Country specific region: Australia
| Value 37546 | Frequency | |
|---|---|---|
| 1 | New South Wales | 496 |
| 2 | Victoria | 415 |
| 3 | Queensland | 315 |
| 4 | South Australia | 133 |
| 5 | Western Australia | 182 |
| 6 | Tasmania | 39 |
| 7 | Australian Capital Territory | 26 |
| 8 | Northern Territory | 6 |
| 0 | NAP, other countries | 60142 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1612 | 60142 |
Valid range from 1 to 8
BE_REG Country specific region: Belgium
| Value 37645 | Frequency | |
|---|---|---|
| 10 | BE10 Brussels Capital Region | 563 |
| 21 | BE21 Antwerp | 300 |
| 22 | BE22 Limburg | 163 |
| 23 | BE23 East Flanders | 236 |
| 24 | BE24 Flemish Brabant | 156 |
| 25 | BE25 West Flanders | 235 |
| 31 | BE31 Brabant Walloon | 70 |
| 32 | BE32 Hainaut | 183 |
| 33 | BE33 Liege | 163 |
| 34 | BE34 Luxemburg | 62 |
| 35 | BE35 Namur | 71 |
| 0 | NAP, other countries | 59552 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2202 | 59552 | 10 | 35 |
Valid range from 10 to 35
BG_REG Country specific region: Bulgaria
| Value 37744 | Frequency | |
|---|---|---|
| 311 | Vidin | 20 |
| 312 | Montana | 20 |
| 313 | Vrtasa | 20 |
| 314 | Pleven | 40 |
| 315 | Lovech | 20 |
| 321 | Veliko Tarnovo | 30 |
| 322 | Gabrovo | 20 |
| 323 | Ruse | 30 |
| 324 | Razgrad | 20 |
| 325 | Silistra | 20 |
| 331 | Varna | 60 |
| 332 | Dobrich | 30 |
| 333 | Shumen | 30 |
| 334 | Targovishte | 20 |
| 341 | Burgas | 50 |
| 342 | Sliven | 20 |
| 343 | Yambol | 10 |
| 344 | Stara Zagora | 50 |
| 411 | Sofiya-grad | 163 |
| 412 | Sofyia-oblast | 30 |
| 413 | Blagoevgrad | 50 |
| 414 | Pernik | 20 |
| 415 | Kyustendil | 20 |
| 421 | Plovdiv | 80 |
| 422 | Haskovo | 40 |
| 423 | Pazardzhik | 40 |
| 424 | Smolyan | 20 |
| 425 | Kardzhali | 30 |
| 0 | NAP, other countries | 60751 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 60751 | 311 | 425 |
Valid range from 311 to 425
CA_REG Country specific region: Canada
| Value 37843 | Frequency | |
|---|---|---|
| 1 | Newfoundland and Labrador | 53 |
| 2 | Nova Scotia | 75 |
| 3 | Prince Edward Island | 49 |
| 4 | New Brunswick | 53 |
| 5 | Quebec | 146 |
| 6 | Ontario | 332 |
| 7 | Manitoba | 65 |
| 8 | Saskatchewan | 52 |
| 9 | Alberta | 49 |
| 10 | British Columbia | 93 |
| 0 | NAP, other countries | 60782 |
| 9999 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 967 | 60787 | 1 | 10 |
Valid range from 1 to 10
CH_REG Country specific region: Switzerland
| Value 37942 | Frequency | |
|---|---|---|
| 1 | Region lemanique (VD, VS, GE) | 219 |
| 2 | Espace Mittelland (BE, FR, SO, NE, JU) | 313 |
| 3 | Nordschweiz (BS, BL, AG) | 157 |
| 4 | Zuerich (ZH) | 210 |
| 5 | Ostschweiz (GL, SH, AR, AI, SG, GR, TG) | 181 |
| 6 | Zentralschweiz (LU, UR, SZ, OW, NW, ZG) | 123 |
| 7 | Ticino (TI) | 34 |
| 0 | NAP, other countries | 60517 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1237 | 60517 |
Valid range from 1 to 7
CL_REG Country specific region: Chile
| Value 38041 | Frequency | |
|---|---|---|
| 1 | Tarapaca | 24 |
| 2 | Antofagasta | 56 |
| 3 | Atacama | 23 |
| 4 | Coquimbo | 61 |
| 5 | Valparaiso | 166 |
| 6 | Libertador Gral. Bernardo O'Higgins | 86 |
| 7 | Maule | 97 |
| 8 | Biobio | 210 |
| 9 | La Araucania | 95 |
| 10 | Los Lagos | 76 |
| 11 | Aisen del Gral. Carlos Ibañez del Campo | 5 |
| 12 | Magallanes y Antartica chilena | 16 |
| 13 | Metropolitana de Santiago | 592 |
| 14 | De los RĂos | 37 |
| 15 | Arica y Parinacota | 20 |
| 0 | NAP, other countries | 60190 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1564 | 60190 |
Valid range from 1 to 15
CN_REG Country specific region: China
| Value 38140 | Frequency | |
|---|---|---|
| 110000 | Bejing | 285 |
| 120000 | Tianjin | 197 |
| 130000 | Hebei Province | 147 |
| 140000 | Shanxi Province | 165 |
| 150000 | Inner Mongolia Autonomous Region | 42 |
| 210000 | Liaoning Province | 209 |
| 220000 | Jilin Province | 254 |
| 230000 | Heilongjiang Province | 292 |
| 310000 | Shanghai | 290 |
| 320000 | Jiangsu Province | 249 |
| 330000 | Zhejiang Province | 298 |
| 340000 | Anhui Province | 185 |
| 350000 | Jujian Province | 152 |
| 360000 | Jiangxi Province | 251 |
| 370000 | Shandon Province | 317 |
| 410000 | Henan Province | 297 |
| 420000 | Hubei Province | 299 |
| 430000 | Hunan Province | 240 |
| 440000 | Guangdong Province | 295 |
| 450000 | Guangxi Zhuan | 194 |
| 500000 | Chongqing | 158 |
| 510000 | Sichuan Province | 326 |
| 520000 | Guizhou Province | 151 |
| 530000 | Yunnan Province | 193 |
| 610000 | Shaanxi Province | 205 |
| 620000 | Gansu Province | 96 |
| 630000 | Qinhai Province | 50 |
| 640000 | Ningxia Hui Autonomous Region | 47 |
| 650000 | Xinajing Uygur Autonomous Region | 62 |
| 0 | NAP, other countries | 55808 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 5946 | 55808 | 110000 | 650000 |
Valid range from 110000 to 650000
CZ_REG Country specific region: Czech Republic
| Value 38239 | Frequency | |
|---|---|---|
| 1 | Prague | 249 |
| 2 | Central Bohemia | 221 |
| 3 | South Bohemia | 128 |
| 4 | Pilsen | 75 |
| 5 | Carlsbad | 39 |
| 6 | Usti | 160 |
| 7 | Liberec | 86 |
| 8 | Hradec Kralove | 95 |
| 9 | Pardubice | 102 |
| 10 | Vysocina | 84 |
| 11 | South Moravia | 207 |
| 12 | Olomouc | 90 |
| 13 | Moravia-Silesia | 180 |
| 14 | Zlin | 88 |
| 0 | NAP, other countries | 59950 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1804 | 59950 |
Valid range from 1 to 14
DE_REG Country specific region: Germany
| Value 38338 | Frequency | |
|---|---|---|
| 1 | Schleswig-Holstein | 47 |
| 2 | Hamburg | 26 |
| 3 | Niedersachsen | 147 |
| 4 | Bremen | 8 |
| 5 | Nordrhein-Westfalen | 294 |
| 6 | Hessen | 128 |
| 7 | Rheinland-Pfalz | 77 |
| 8 | Baden-Wuerttemberg | 208 |
| 9 | Bayern | 237 |
| 10 | Saarland | 13 |
| 11 | Berlin-Ost | 38 |
| 12 | Mecklenburg-Vorpommern | 90 |
| 13 | Brandenburg | 103 |
| 14 | Sachsen-Anhalt | 87 |
| 15 | Thueringen | 85 |
| 16 | Sachsen | 155 |
| 17 | Berlin-West | 23 |
| 0 | NAP, other countries | 59988 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1766 | 59988 |
Valid range from 1 to 17
DK_REG Country specific region: Denmark
| Value 38437 | Frequency | |
|---|---|---|
| 1 | Capital Region of Denmark, Copenhagen county | 147 |
| 2 | Region Sealand | 347 |
| 3 | Region of Southern Denmark | 303 |
| 4 | Central Denmark Region | 411 |
| 5 | Region North Jutland | 195 |
| 0 | NAP, other countries | 60351 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1403 | 60351 |
Valid range from 1 to 5
ES_REG Country specific region: Spain
| Value 38536 | Frequency | |
|---|---|---|
| 1 | Andalucia | 468 |
| 2 | Aragon | 80 |
| 3 | Asturias | 64 |
| 4 | Baleares | 51 |
| 5 | Canarias | 86 |
| 6 | Cantabria | 38 |
| 7 | Castilla-La Mancha | 120 |
| 8 | Castilla-Leon | 169 |
| 9 | Cataluna | 414 |
| 10 | Comunidad Valenciana | 281 |
| 11 | Extremadura | 73 |
| 12 | Galicia | 196 |
| 13 | Madrid | 275 |
| 14 | Region de Murcia | 82 |
| 15 | Navarra | 39 |
| 16 | Pais Vasco | 136 |
| 17 | La Rioja | 23 |
| 0 | NAP, other countries | 59159 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2595 | 59159 |
Valid range from 1 to 17
FI_REG Country specific region: Finland
| Value 38635 | Frequency | |
|---|---|---|
| 1 | Uusimaa | 341 |
| 2 | Varsinais-Suomi | 101 |
| 4 | Satakunta | 43 |
| 5 | Kanta-Haeme | 34 |
| 6 | Pirkanmaa | 107 |
| 7 | Paeijaet-Haeme | 44 |
| 8 | Kymenlaakso | 42 |
| 9 | South Karelia | 25 |
| 10 | Etelae-Savo | 30 |
| 11 | Pohjois-Savo | 53 |
| 12 | North Karelia | 39 |
| 13 | Central Finland | 78 |
| 14 | South Ostrobothnia | 40 |
| 15 | Ostrobothnia | 40 |
| 16 | Central Ostrobothnia | 9 |
| 17 | North Ostrobothnia | 85 |
| 18 | Kainuu | 14 |
| 19 | Lapland | 40 |
| 21 | Aland | 6 |
| 0 | NAP, other countries | 60583 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1171 | 60583 |
Valid range from 1 to 21
FR_REG Country specific region: France
| Value 38734 | Frequency | |
|---|---|---|
| 1 | Ain | 26 |
| 2 | Aisne | 18 |
| 3 | Allier | 15 |
| 4 | Alpes-Hte-Provence | 4 |
| 5 | Hautes-Alpes | 5 |
| 6 | Alpes-Maritimes | 44 |
| 7 | Ardeche | 15 |
| 8 | Ardennes | 14 |
| 9 | Ariege | 7 |
| 10 | Aube | 12 |
| 11 | Aude | 15 |
| 12 | Aveyron | 11 |
| 13 | Bouche-du-Rhone | 55 |
| 14 | Calvados | 27 |
| 15 | Cantal | 6 |
| 16 | Charente | 11 |
| 17 | Charente-Maritime | 24 |
| 18 | Cher | 7 |
| 19 | Correze | 9 |
| 20 | Corse | 9 |
| 21 | Cote-d'Or | 25 |
| 22 | Cotes-d'Armor | 32 |
| 23 | Creuse | 5 |
| 24 | Dordogne | 19 |
| 25 | Doubs | 15 |
| 26 | Drome | 17 |
| 27 | Eure | 17 |
| 28 | Eure-et-Loire | 15 |
| 29 | Finistere | 36 |
| 30 | Gard | 33 |
| 31 | Haute-Garonne | 58 |
| 32 | Gers | 13 |
| 33 | Gironde | 56 |
| 34 | Herault | 40 |
| 35 | Ille-et-Vilaine | 35 |
| 36 | Indre | 9 |
| 37 | Indre-et-Loire | 23 |
| 38 | Isere | 48 |
| 39 | Jura | 11 |
| 40 | Landes | 16 |
| 41 | Loir-et-Cher | 14 |
| 42 | Loire | 35 |
| 43 | Haute-Loire | 7 |
| 44 | Loire-Atlantique | 72 |
| 45 | Loiret | 29 |
| 46 | Lot | 8 |
| 47 | Lot-et-Garonne | 17 |
| 48 | Lozere | 1 |
| 49 | Maine-et-Loire | 43 |
| 50 | Manche | 19 |
| 51 | Marne | 14 |
| 52 | Haute-Marne | 10 |
| 53 | Mayenne | 11 |
| 54 | Meurthe-et-Moselle | 28 |
| 55 | Meuse | 4 |
| 56 | Morbihan | 42 |
| 57 | Moselle | 45 |
| 58 | Nievre | 8 |
| 59 | Nord | 84 |
| 60 | Oise | 22 |
| 61 | Orne | 8 |
| 62 | Pas-de-Calais | 46 |
| 63 | Puy-de-Dome | 30 |
| 64 | Pyrenees-Atlantiques | 25 |
| 65 | Hautes-Pyrenees | 14 |
| 66 | Pyrenees-Orientales | 13 |
| 67 | Bas-Rhin | 44 |
| 68 | Haut-Rhin | 31 |
| 69 | Rhone | 65 |
| 70 | Haute-Saone | 5 |
| 71 | Saone-et-Loire | 25 |
| 72 | Sarthe | 22 |
| 73 | Savoie | 15 |
| 74 | Haute-Savoie | 32 |
| 75 | Ville de Paris | 101 |
| 76 | Seine-Maritime | 49 |
| 77 | Seine-et-Marne | 32 |
| 78 | Yvelines | 50 |
| 79 | Deux-Sevres | 20 |
| 80 | Somme | 21 |
| 81 | Tarn | 13 |
| 82 | Tarn-et-Garonne | 12 |
| 83 | Var | 38 |
| 84 | Vaucluse | 15 |
| 85 | Vendee | 33 |
| 86 | Vienne | 13 |
| 87 | Haute-Vienne | 15 |
| 88 | Vosges | 11 |
| 89 | Yonne | 12 |
| 90 | Belfort (Territoire) | 4 |
| 91 | Essone | 40 |
| 92 | Hauts-de-Seine | 61 |
| 93 | Seine-Saint-Denis | 33 |
| 94 | Val-de-Marne | 40 |
| 95 | Val-d'Oise | 33 |
| 0 | NAP, other countries | 59345 |
| 9999 | No answer | 18 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2391 | 59363 |
Valid range from 1 to 95
GB_REG Country specific region: Great Britain (GB-GBN)
| Value 38833 | Frequency | |
|---|---|---|
| 1 | Scotland (GB) | 96 |
| 2 | North, North West, Yorkshire Humbershire (GB) | 234 |
| 3 | West, East Midlands (GB) | 178 |
| 4 | Wales (GB) | 52 |
| 5 | East Anglia, South West, South-East (GB) | 300 |
| 6 | Greater London (GB) | 90 |
| 0 | NAP, other countries | 60804 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 950 | 60804 | 1 | 6 |
Valid range from 1 to 6
HR_REG Country specific region: Croatia
| Value 38932 | Frequency | |
|---|---|---|
| 1 | Zagreb | 259 |
| 2 | North Croatia | 172 |
| 3 | Slavonija | 165 |
| 4 | Lika and Banovina | 84 |
| 5 | Istra and Hrvastko primorje | 123 |
| 6 | Dalmacija | 197 |
| 0 | NAP, other countries | 60754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1000 | 60754 |
Valid range from 1 to 6
HU_REG Country specific region: Hungary
| Value 39031 | Frequency | |
|---|---|---|
| 1 | Central Region - Közép Magyarország | 112 |
| 2 | Middle Transdanubia - Közép Dunántúl | 113 |
| 3 | West Transdanubia - Nyugat Dunántúl | 101 |
| 4 | SouthTransdanubia - Dél Dunántúl | 100 |
| 5 | North Region - Észak Magyarország | 126 |
| 6 | North Plain - Észak Alföld | 151 |
| 7 | South Plain - Dél Alföld | 136 |
| 9 | Budapest | 173 |
| 0 | NAP, other countries | 60742 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1012 | 60742 | 1 | 9 |
Valid range from 1 to 9
IE_REG Country specific region: Ireland
| Value 39130 | Frequency | |
|---|---|---|
| 1 | Border | 127 |
| 2 | Dublin | 349 |
| 3 | Mid-East | 133 |
| 4 | Midland | 61 |
| 5 | Mid-West | 85 |
| 6 | South-East | 128 |
| 7 | South-West | 191 |
| 8 | West | 120 |
| 0 | NAP, other countries | 60539 |
| 9999 | No answer | 21 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1194 | 60560 |
Valid range from 1 to 8
IL_REG Country specific region: Israel
| Value 39229 | Frequency | |
|---|---|---|
| 1 | North | 221 |
| 2 | South | 213 |
| 3 | Tel-Aviv | 454 |
| 4 | Jerusalem | 137 |
| 5 | Arab sector | 195 |
| 0 | NAP, other countries | 60534 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1220 | 60534 |
Valid range from 1 to 5
IN_REG Country specific region: India
| Value 39328 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 61754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 61754 |
IS_REG Country specific region: Iceland
| Value 39427 | Frequency | |
|---|---|---|
| 1 | Capital Area | 768 |
| 2 | Other regions | 404 |
| 0 | NAP, other countries | 60582 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1172 | 60582 |
Valid range from 1 to 2
JP_REG Country specific region: Japan
| Value 39526 | Frequency | |
|---|---|---|
| 1 | Hokkaido | 53 |
| 2 | Tohoku | 101 |
| 3 | Kanto | 371 |
| 4 | Koshin-etsu | 58 |
| 5 | Tokai, Hokuriku | 180 |
| 6 | Kinki | 184 |
| 7 | Chugoku | 76 |
| 8 | Shikoku | 40 |
| 9 | Kyushu | 149 |
| 0 | NAP, other countries | 60542 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1212 | 60542 |
Valid range from 1 to 9
KR_REG Country specific region: Korea (South)
| Value 39625 | Frequency | |
|---|---|---|
| 1 | Seoul | 219 |
| 2 | Gyeonggi-do | 293 |
| 3 | Incheon | 86 |
| 4 | Gangwon-do | 31 |
| 5 | Chungcheongnam-do | 52 |
| 6 | Daejeon | 38 |
| 7 | Chungcheongbuk-do | 48 |
| 8 | Gyeongsangnam-do | 113 |
| 9 | Busan | 106 |
| 10 | Ulsan | 23 |
| 11 | Gyeongsangbuk-do | 92 |
| 12 | Daegu | 80 |
| 13 | Jeollanam-do | 77 |
| 14 | Gwangju | 49 |
| 15 | Jeollabuk-do | 74 |
| 16 | Jeju-do | 15 |
| 0 | NAP, other countries | 60358 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1396 | 60358 | 1 | 16 |
Valid range from 1 to 16
LT_REG Country specific region: Lithuania
| Value 39724 | Frequency | |
|---|---|---|
| 1 | Alytus | 64 |
| 2 | Kaunas | 242 |
| 3 | Klaipeda | 133 |
| 4 | Marijampole | 61 |
| 5 | Panevezys | 101 |
| 6 | Siauliai | 124 |
| 7 | Taurage | 44 |
| 8 | Telsiai | 58 |
| 9 | Utena | 63 |
| 10 | Vilnius | 297 |
| 0 | NAP, other countries | 60567 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1187 | 60567 |
Valid range from 1 to 10
LV_REG Country specific region: Latvia
| Value 39823 | Frequency | |
|---|---|---|
| 1 | Riga | 297 |
| 2 | Pieriga | 174 |
| 3 | Vidzeme | 122 |
| 4 | Kurzeme | 150 |
| 5 | Zemgale | 105 |
| 6 | Latgale | 152 |
| 0 | NAP, other countries | 60754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1000 | 60754 |
Valid range from 1 to 6
MX_REG Country specific region: Mexico
| Value 39922 | Frequency | |
|---|---|---|
| 1 | Aguascalientes | 0 |
| 2 | Baja California | 39 |
| 3 | Baja California Sur | 0 |
| 4 | Campeche | 38 |
| 5 | Chiapas | 23 |
| 6 | Chihuahua | 0 |
| 7 | Coahuila | 49 |
| 8 | Colima | 26 |
| 9 | Distrito Federal | 162 |
| 10 | Durango | 0 |
| 11 | Guanajuato | 32 |
| 12 | Guerrero | 43 |
| 13 | Hidalgo | 60 |
| 14 | Jalisco | 150 |
| 15 | Mexico | 271 |
| 16 | Michoacan | 37 |
| 18 | Nayarit | 30 |
| 19 | Nuevo Leon | 82 |
| 21 | Puebla | 78 |
| 26 | Sonora | 52 |
| 27 | Tabasco | 62 |
| 28 | Tamaulipas | 95 |
| 29 | Tlaxcala | 67 |
| 30 | Veracruz | 60 |
| 31 | Yucatan | 42 |
| 32 | Zacatecas | 29 |
| 0 | NAP, other countries | 60227 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1527 | 60227 | 2 | 32 |
Valid range from 1 to 32
NL_REG Country specific region: Netherlands
| Value 40021 | Frequency | |
|---|---|---|
| 1 | Oost-Groningen | 3 |
| 2 | Delfzijl en omgeving | 10 |
| 3 | Overig Groningen | 28 |
| 4 | Noord-Friesland | 29 |
| 5 | Zuidwest-Friesland | 13 |
| 6 | Zuidoost-Friesland | 23 |
| 7 | Noord-Drenthe | 16 |
| 8 | Zuidoost-Drenthe | 11 |
| 9 | Zuidwest-Drenthe | 10 |
| 10 | Noord-Overijssel | 31 |
| 11 | Zuidwest-Overijssel | 14 |
| 12 | Twente | 45 |
| 13 | Veluwe | 49 |
| 14 | Achterhoek | 26 |
| 15 | Arnhem/Nijmegen | 43 |
| 16 | Zuidwest-Gelderland | 21 |
| 17 | Utrecht | 105 |
| 18 | Kop van Noord-Holland | 28 |
| 19 | Alkmaar en omgeving | 17 |
| 20 | IJmond | 11 |
| 21 | Agglomeratie Haarlem | 20 |
| 22 | Zaanstreek | 13 |
| 23 | Groot-Amsterdam | 98 |
| 24 | Het Gooi en Vechtstreek | 22 |
| 25 | Leiden en Bollenstreek | 30 |
| 26 | s-Gravenhage | 77 |
| 27 | Delft en Westland | 7 |
| 28 | Oost-Zuid-Holland | 32 |
| 29 | Groot-Rijnmond | 95 |
| 30 | Zuidoost-Zuid-Holland | 33 |
| 31 | Zeeuws-Vlaanderen | 9 |
| 32 | Overig Zeeland | 12 |
| 33 | West-Noord-Brabant | 53 |
| 34 | Midden-Noord-Brabant | 26 |
| 35 | Noordoost-Noord-Brabant | 55 |
| 36 | Zuidoost-Noord-Brabant | 62 |
| 37 | Noord-Limburg | 26 |
| 38 | Midden-Limburg | 32 |
| 39 | Zuid-Limburg | 44 |
| 40 | Flevoland | 29 |
| 0 | NAP, other countries | 60439 |
| 9999 | Not available, Respondentnr removed | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1308 | 60446 | 1 | 40 |
Valid range from 1 to 40
NO_REG Country specific region: Norway
| Value 40120 | Frequency | |
|---|---|---|
| 1 | Central East | 338 |
| 2 | East | 399 |
| 3 | South | 72 |
| 4 | West | 347 |
| 5 | Middle | 138 |
| 6 | North | 150 |
| 0 | NAP, other countries | 60310 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1444 | 60310 |
Valid range from 1 to 6
PH_REG Country specific region: Philippines
| Value 40219 | Frequency | |
|---|---|---|
| 1 | Great Manila Area/ National Capital Region (NCR) | 300 |
| 2 | Balance Luzon | 300 |
| 3 | Visayas | 300 |
| 4 | Mindanao | 300 |
| 0 | NAP, other countries | 60554 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 60554 |
Valid range from 1 to 4
PL_REG Country specific region: Poland
| Value 40318 | Frequency | |
|---|---|---|
| 1 | Central | 181 |
| 2 | Wielkopolska (Central-West) | 157 |
| 3 | Silesia (South-West) | 181 |
| 4 | West | 126 |
| 5 | Pomorze (North) | 124 |
| 6 | North-East | 77 |
| 7 | East | 75 |
| 8 | Malopolska (South-East) | 194 |
| 0 | NAP, other countries | 60639 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1115 | 60639 |
Valid range from 1 to 8
PT_REG Country specific region: Portugal
| Value 40417 | Frequency | |
|---|---|---|
| 1 | North | 368 |
| 2 | Centre | 237 |
| 3 | Lisbon | 285 |
| 4 | Alentejo | 70 |
| 5 | Algarve | 41 |
| 0 | NAP, other countries | 60753 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1001 | 60753 |
Valid range from 1 to 5
RU_REG Country specific region: Russia
| Value 40516 | Frequency | |
|---|---|---|
| 1 | North | 51 |
| 2 | North-West | 94 |
| 3 | Central | 296 |
| 4 | Volga-Vyatka | 64 |
| 5 | Black Earth | 116 |
| 6 | Volga Region | 209 |
| 7 | North Caucasus | 178 |
| 8 | Urals | 218 |
| 9 | West Siberia | 159 |
| 10 | East Siberia | 71 |
| 11 | Far East | 69 |
| 0 | NAP, other countries | 60229 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1525 | 60229 | 1 | 11 |
Valid range from 1 to 11
SE_REG Country specific region: Sweden
| Value 40615 | Frequency | |
|---|---|---|
| 1 | Stockholm/Södertälje | 210 |
| 2 | Norrtälje | 7 |
| 3 | Enköping | 9 |
| 4 | Uppsala | 21 |
| 5 | Nyköping | 11 |
| 6 | Katrineholm | 5 |
| 7 | Eskilstuna | 8 |
| 8 | Mjölby/Motala | 8 |
| 9 | Linköping | 21 |
| 10 | Norrköping | 23 |
| 11 | Jönköping | 22 |
| 12 | TranĂĄs | 2 |
| 13 | Eksjö/Nässjö/Vetlanda | 17 |
| 14 | Värnamo | 8 |
| 15 | Ljungby | 5 |
| 16 | Växjö | 27 |
| 17 | Västervik | 4 |
| 18 | Hultsfred/Vimmerby | 5 |
| 19 | Oskarshamn | 3 |
| 20 | Kalmar/Nybro | 13 |
| 21 | Visby | 5 |
| 22 | Karlskrona | 5 |
| 23 | Karlshamn | 8 |
| 24 | Kristianstad | 22 |
| 25 | Hässleholm | 8 |
| 26 | Ă„ngelholm | 7 |
| 27 | Helsingborg/Landskrona | 22 |
| 28 | Malmö/Lund/Trelleborg | 68 |
| 29 | Ystad/Simrishamn | 18 |
| 30 | Eslöv | 6 |
| 31 | Halmstad | 20 |
| 32 | Falkenberg/Varberg | 8 |
| 33 | Göteborg/Alingsås | 101 |
| 34 | Uddevalla | 16 |
| 35 | Trollhättan/Vänersborg | 14 |
| 36 | BorĂĄs | 27 |
| 37 | Lidköping/Skara | 15 |
| 38 | Falköping | 5 |
| 39 | Skövde | 10 |
| 40 | Mariestad | 3 |
| 41 | Kristinehamn/Filipstad | 10 |
| 42 | Karlstad | 16 |
| 43 | Säffle/Åmål | 6 |
| 44 | Arvika | 4 |
| 45 | Ă–rebro | 17 |
| 46 | Karlskoga | 5 |
| 47 | Lindesberg | 4 |
| 48 | Västerås | 12 |
| 49 | Köping | 12 |
| 50 | Fagersta | 0 |
| 51 | Sala | 3 |
| 52 | Borlänge/Falun | 20 |
| 53 | Avesta/Hedemora | 5 |
| 54 | Ludvika | 5 |
| 55 | Mora | 3 |
| 56 | Gävle/Sandviken | 13 |
| 57 | Bollnäs/Söderhamn | 1 |
| 58 | Hudiksvall/Ljusdal | 2 |
| 59 | Sundsvall | 12 |
| 60 | Härnösand/Kramfors | 4 |
| 61 | SollefteĂĄ | 2 |
| 62 | Örnsköldsvik | 11 |
| 63 | Ă–stersund | 15 |
| 64 | UmeĂĄ | 16 |
| 65 | SkellefteĂĄ | 11 |
| 66 | Lycksele | 3 |
| 67 | PiteĂĄ | 6 |
| 68 | LuleĂĄ/Boden | 13 |
| 69 | Haparanda/Kalix | 5 |
| 70 | Kiruna/Gällivare | 6 |
| 0 | NAP, other countries | 60694 |
| 9999 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1059 | 60695 | 1 | 70 |
Valid range from 1 to 70
SI_REG Country specific region: Slovenia
| Value 40714 | Frequency | |
|---|---|---|
| 1 | Pomurska | 65 |
| 2 | Podravska | 160 |
| 3 | Koroska | 57 |
| 4 | Savinjska | 126 |
| 5 | Gorenjska | 99 |
| 6 | Zasavska | 30 |
| 7 | Osrednja | 233 |
| 8 | Spodnjeposavska | 39 |
| 9 | Dolenjska | 85 |
| 10 | Goriska | 67 |
| 11 | Obalnokraska | 43 |
| 12 | Kraska | 30 |
| 0 | NAP, other countries | 60720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1034 | 60720 |
Valid range from 1 to 12
SK_REG Country specific region: Slovakia
| Value 40813 | Frequency | |
|---|---|---|
| 1 | Bratislava county | 77 |
| 2 | Trnava county | 134 |
| 3 | Trencin county | 75 |
| 4 | Nitra county | 153 |
| 5 | Zilina county | 160 |
| 6 | Banska Bystrica county | 145 |
| 7 | Presov county | 200 |
| 8 | Kosice county | 184 |
| 0 | NAP, other countries | 60626 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1128 | 60626 | 1 | 8 |
Valid range from 1 to 8
TR_REG Country specific region: Turkey
| Value 40912 | Frequency | |
|---|---|---|
| 1 | Istanbul | 299 |
| 2 | Aegean | 194 |
| 3 | Mediterranean | 256 |
| 4 | Southeastern Anatolia | 74 |
| 5 | Western Anatolia | 108 |
| 6 | Eastern Marmara | 137 |
| 7 | Western Black Sea | 96 |
| 8 | Central Anatolia | 111 |
| 9 | Central Eastern Anatolia | 78 |
| 10 | Eastern Black Sea | 31 |
| 11 | Western Marmara | 173 |
| 12 | North Eastern Anatolia | 63 |
| 0 | NAP, other countries | 60134 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1620 | 60134 | 1 | 12 |
Valid range from 1 to 12
TW_REG Country specific region: Taiwan
| Value 41011 | Frequency | |
|---|---|---|
| 1 | Keelung city | 4 |
| 2 | Taipei city | 205 |
| 3 | New Taipei city | 443 |
| 4 | Taoyuan county | 166 |
| 5 | Hsinchu city | 105 |
| 6 | Hsinchu county | 4 |
| 7 | Miaoli county | 31 |
| 8 | Taichung city | 204 |
| 9 | Taichung county | 0 |
| 10 | Nantou county | 31 |
| 11 | Changhua county | 133 |
| 12 | Yunlin county | 128 |
| 13 | Chiayi city | 76 |
| 14 | Chiayi country | 5 |
| 15 | Tainan city | 88 |
| 16 | Tainan county | 0 |
| 17 | Kaohsiung city | 326 |
| 18 | Kaohsiung county | 0 |
| 19 | Pingtung county | 38 |
| 20 | Ilan county | 44 |
| 21 | Hualien county | 36 |
| 22 | Taitung county | 1 |
| 0 | NAP, other countries | 59682 |
| 9999 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2068 | 59686 |
Valid range from 1 to 22
US_REG Country specific region: United States
| Value 41110 | Frequency | |
|---|---|---|
| 1 | New England | 71 |
| 2 | Middle Atlantic | 144 |
| 3 | East North Central | 223 |
| 4 | West North Central | 82 |
| 5 | South Atlantic | 276 |
| 6 | East South Central | 77 |
| 7 | West South Central | 136 |
| 8 | Mountain | 98 |
| 9 | Pacific | 195 |
| 0 | NAP, other countries | 60452 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1302 | 60452 |
Valid range from 1 to 9
VE_REG Country specific region: Venezuela
| Value 4129 | Frequency | |
|---|---|---|
| 1 | Distrito Capital | 89 |
| 2 | Amazonas | 9 |
| 3 | Anzoátegui | 50 |
| 4 | Apure | 10 |
| 5 | Aragua | 70 |
| 6 | Barinas | 20 |
| 7 | BolĂvar | 50 |
| 8 | Carabobo | 99 |
| 9 | Della Amacuro | 10 |
| 10 | FalcĂłn | 20 |
| 11 | Guárico | 30 |
| 12 | Lara | 60 |
| 13 | MĂ©rida | 30 |
| 14 | Miranda | 120 |
| 15 | Monagas | 30 |
| 16 | Nueva Esparta | 20 |
| 17 | Portuguesa | 30 |
| 18 | Sucre | 20 |
| 19 | Táchira | 40 |
| 20 | Trujillo | 20 |
| 21 | Yaracuy | 20 |
| 22 | Zulia | 140 |
| 23 | Vargas | 10 |
| 0 | NAP, other countries | 60757 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 997 | 60757 |
Valid range from 1 to 23
ZA_REG Country specific region: South Africa
| Value 4138 | Frequency | |
|---|---|---|
| 1 | Western Cape | 278 |
| 2 | Eastern Cape | 338 |
| 3 | Northern Cape | 156 |
| 4 | Free State | 185 |
| 5 | Kwa-Zulu Natal | 583 |
| 6 | North West | 178 |
| 7 | Gauteng | 416 |
| 8 | Mpumalanga | 205 |
| 9 | Limpopo | 208 |
| 0 | NAP, other countries | 59207 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2547 | 59207 |
Valid range from 1 to 9
CASEID ID Number of Respondent
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61754 | 0 | 2012000000000000.0 | 2012830000000000.0 | 2012040000000000.0 | 133110684030.065 |
Valid range from 2.01200032e+15 to 2.01282601024325e+15
SUBSCASE Case substitution flag
| Value 4156 | Frequency | |
|---|---|---|
| 0 | No substitution in this survey | 56043 |
| 1 | Case from original sample | 5049 |
| 2 | Case substituted | 662 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61754 | 0 | 0 | 2 |
Valid range from 0 to 2
DATEYR Date of interview: year of interview; YYYY (four digits)
| Value 4165 | Frequency | |
|---|---|---|
| 2011 | Year 2011 | 1631 |
| 2012 | Year 2012 | 36272 |
| 2013 | Year 2013 | 19451 |
| 2014 | Year 2014 | 3903 |
| 2015 | Year 2015 | 103 |
| 9999 | No answer | 394 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61360 | 394 | 2011 | 2015 |
Valid range from 2011 to 2015
DATEMO Date of interview: month of interview: MM (two digits)
| Value 4174 | Frequency | |
|---|---|---|
| 1 | January | 3951 |
| 2 | February | 2321 |
| 3 | March | 7947 |
| 4 | April | 8615 |
| 5 | May | 3795 |
| 6 | June | 5016 |
| 7 | July | 7756 |
| 8 | August | 3723 |
| 9 | September | 2685 |
| 10 | October | 2409 |
| 11 | November | 3971 |
| 12 | December | 7884 |
| 0 | Not available: AT | 1182 |
| 99 | No answer | 499 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 60073 | 1681 | 1 | 12 |
Valid range from 1 to 12
DATEDY Date of interview: day of interview: DD (two digits)
| Value 4183 | Frequency | |
|---|---|---|
| 1 | 01. | 1885 |
| 31 | 31. | 1113 |
| 0 | Not available: AT,BE,VE,ZA | 6928 |
| 99 | No answer | 508 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 54318 | 7436 | 1 | 31 |
Valid range from 1 to 31
WEIGHT Weighting factor
| Value 4192 | Frequency | |
|---|---|---|
| 1 | No weighting | 11823 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61754 | 0 | 0.001 | 23.703 |
Valid range from 0.001 to 23.7028800564831
MODE Administrative mode of data-collection
| Value 4201 | Frequency | |
|---|---|---|
| 10 | Face-to-face, PAPI, no visuals | 6670 |
| 11 | Face-to-face, PAPI, visuals | 12882 |
| 12 | Face-to-face, PAPI, respondent reading questionnaire | 979 |
| 13 | Face-to-face, PAPI, interpreter or translator, no visuals | 5946 |
| 14 | Face-to-face, PAPI, interpreter or translator, visuals | 5367 |
| 20 | CAPI, computer assisted personal interview, no visuals | 3404 |
| 21 | CAPI, computer assisted personal interview, visuals | 5508 |
| 22 | CAPI, respondent reading questionnaire (paper or on monitor) | 2149 |
| 23 | CAPI, interpreter or translator, no visuals | 8 |
| 24 | CAPI, interpreter or translator, visuals | 0 |
| 30 | Self completion, arrives with interviewer, interviewer atten | 505 |
| 31 | Self completion, arrives with interviewer, drops-off, picks | 1495 |
| 32 | Self completion, arrives with interviewer, drops-off, mailed | 162 |
| 33 | Self completion, mailed to, completed by R and hold for pick | 0 |
| 34 | Self completion, mailed to, mailed back by Respondent | 12066 |
| 40 | CASI, computer-assisted self completion interview | 2359 |
| 41 | Self-completion, web questionnaire | 709 |
| 50 | CAWI, computer assisted web interview | 1297 |
| 52 | CAPI, phone | 164 |
| 60 | CATI, computer assisted telephone interview | 67 |
| 99 | No answer | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 61737 | 17 | 10 | 60 |
Valid range from 10 to 60
Materials of the Study
- ISSP raziskovalna skupina (2011). ISSP 2012 - Family and Changing Gender Roles IV Basic Questionnaire [Vprašalnik].
- ISSP raziskovalna skupina (2012). ISSP 2012 - Family and Changing Gender Roles IV, Background variables for all participating countries [Ostalo gradivo].
Study Results Materials
- ISSP raziskovalna skupina (2018). International Social Survey Programme - Home Page.
Related Publications
There is no information about publications related to this study!
Access to data and documentation - Nesstar
TERMS OF USE:
The Slovenian Social Science Data Archives does not distribute data of this study. For more information please contact the author or the responsible organization.
DOCUMENTATION STATUS
2 - Polni opis raziskave.
CLASS OF THE STUDY
9 - najvišji rang, primerjalne ali kontinuirane raziskave, pomembne populacije, metodološko ustrezne
How to CITE this study?
ISSP raziskovalna skupina. (2016). Mednarodna splošna družboslovna anketa (ISSP), 2012: Družina in spreminjanje spolnih vlog IV [Podatkovna datoteka]. Cologne: GESIS Datenarchiv. ZA5900, Različica 4.0.0. http://dx.doi.org/10.4232/1.12661 ADP - IDNo: ISSP12.
More information can be found on the publisher's page.
SIMILAR STUDIES
ISSP - Mednarodna splošna družboslovna anketa: Opis serije
ISSP00 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija II
ISSP01 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki II
ISSP - Mednarodna splošna družboslovna anketa: Opis serije
ISSP00 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija II
ISSP01 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki II
ISSP02 - Mednarodna splošna družboslovna anketa (ISSP), 2002: Družina III
ISSP03 - Mednarodna splošna družboslovna anketa (ISSP), 2003: Nacionalna identiteta II
ISSP04 - Mednarodna splošna družboslovna anketa (ISSP), 2004: Razumevanje vloge državljana
ISSP05 - Mednarodna splošna družboslovna anketa (ISSP), 2005: Stališča o delu III
ISSP06 - Mednarodna splošna družboslovna anketa (ISSP), 2006: Vloga države IV
ISSP07 - Mednarodna splošna družboslovna anketa (ISSP), 2007: Prosti čas in šport I
ISSP08 - Mednarodna splošna družboslovna anketa (ISSP), 2008: Religija III
ISSP09 - Mednarodna splošna družboslovna anketa (ISSP), 2009: Družbena neenakost IV
ISSP10 - Mednarodna splošna družboslovna anketa (ISSP), 2010: Okolje III
ISSP11 - Mednarodna splošna družboslovna anketa (ISSP), 2011: Zdravje
ISSP13 - Mednarodna splošna družboslovna anketa (ISSP), 2013: Nacionalna identiteta III
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
