Vsaka raziskovalna organizacija krije svoje stroške raziskave. Skupnega financiranja ni.
no information
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/)
Keywords ADP: zaposlitev in vrednote, varnost zaposlitve, dohodek, razmerje med delom in zasebnim življenjem, diskriminacija, nadlegovanje na delovnem mestu, sindikati, delovna aktivnost, delovne naloge, odnos do dela, zadovoljstvo z delom, zaposlovanje, zaposlitev s polnim delovnim časom, zaposlitev s polovičnim delovnim časom, menedžerji, zaposljivost
Keywords ELSST:
VARNOST ZAPOSLITVE, DOHODEK, DISKRIMINACIJA, NADLEGOVANJE, SINDIKAT
Topic Classification CESSDA
DELO IN ZAPOSLOVANJE
DRUŽBA IN KULTURA - Družbeno vedenje in stališča
Topic Classification CERIF
Sociologija dela, sociologija podjetij
Topic Classification ADP
DELO
ZAPOSLOVANJE
DOHODEK
DISKRIMINACIJA
SINDIKATI
Ta izvedba raziskav ISSP se osredotoča na stališča o delu. Respondente sprašuje o delovnih vrednotah (varnost zaposlitve, visok dohodek, ipd.), ravnovesju med poklicnim in zasebnim življenjem, diskriminaciji pri delu, o izkušnjah z nadlegovanjem na delovnem mestu ter moči sindikatov. Respondenti opisujejo lastnosti dela (fizično, stresno delo, delo doma, ob vikendih, prilagodljivost glede začetka in konca delovnega časa, itd.), delovna usposabljanja, presojajo odnose med vodstvom in zaposlenimi ter med sodelavci. Odgovarjajo tudi o zadovoljstvu pri delu, identifikaciji s podjetjem ali organizacijo, zaskrbljenosti zaradi možnosti izgube zaposlitve, o zaposljivosti ter pričakovanih težavah pri iskanju nove zaposlitve. Demografski sklop vključuje vprašanja o starosti respondenta, spolu, izobrazbi, zaposlitvi, poklicu, zakonskemu statusu, članstvu v sindikatu, verskem prepričanju, o udeležbi na zadnjih volitvah, voljeni stranki (levo-desno), pripadnosti etnični skupini, o velikosti gospodinjstva, dohodku, državi rojstva staršev in regiji bivanja.
| Collection date: | Zbiranje podatkov na terenu je potekalo: Avstralija: 17. avgust 2015 - 14. april 2016, Avstrija: 09. julij 2015 - 16. avgust 2016, Belgija: 14. oktober 2015 - 22. marec 2016, Češka: 31. marec 2015 - 20. maj 2015, Čile: 06. april 2015 - 03. maj 2015, Danska: 15. maj 2016 - 19. julij 2016, Estonija: september 2015 - oktober 2015, Filipini: 16. marec 2016 - 20. marec 2016, Finska: 22. september 2015 - 16. december 2015, Francija: februar 2015 - september 2015, Gruzija: 05. junij 2016 - 23. julij 2016, Hrvaška: 01. julij 2016 - 26. julij 2016, Indija: 22. februar 2017 - 06. april 2017, Islandija: 26. maj 2016 - 31. avgust 2016, Izrael: 23. december 2015 - 05. april 2016, Japonska: 24. oktober 2015 - 01. november 2015, Južna Afrika: 01. oktober 2015 - 01. marec 2016, Kitajska: 01. julij 2015 - 31. oktober 2015, Latvija: 27. avgust 2016 - 25. september 2016, Litva: 08. oktober 2015 - 01. december 2015, Madžarska: 16. oktober 2015 - 23. oktober 2015, Mehika: 10. februar 2017 - 03. april 2017, Nemčija: 05. april 2016 - 17. september 2016, Norveška: 20. oktober 2015 - 06. januar 2016, Nova Zelandija: 08. julij 2015 - 16. november 2015, Poljska: 01. marec 2015 - 26. junij 2015, Ruska federacija: 26. marec 2015 - 31. marec 2015, Slovaška: 11. september 2016 - 29. oktober 2016, Slovenija: 14. november 2015 - 23. februar 2016, Surinam: 24. junij 2015 - 02. februar 2017, Španija: 11. april 2016 - 29. junij 2016, Švedska: 01. april 2016 - 11. maj 2016, Švica: 12. februar 2015 - 10. julij 2015, Tajvan: 08. februar 2015 - 01. november 2015, Velika Britanija: 06. julij 2015 - 06. november 2015, Venezuela: 19. januar 2015 - 08. februar 2015, Združene države Amerike: 05. april 2016 - 19. november 2016 |
|---|---|
| Date of production: | 2017 |
| Country: | Avstralija, Avstrija, Belgija, Češka, Čile, Danska, Estonija, Filipini, Finska, Francija, Gruzija, Hrvaška, Indija, Islandija, Izrael, Japonska, Južna Afrika, Kitajska, Latvija, Litva, Madžarska, Mehika, Nemčija, Norveška, Nova Zelandija, Poljska, Ruska federacija, Slovaška, Slovenija, Surinam, Španija, Švedska, Švica, Tajvan, Velika Britanija, Venezuela, Združene države Amerike |
| Geographic coverage: |
Teritorij naštetih držav. |
| Unit of analysis: |
Posameznik |
| Universe: |
Osebe stare 18 let in več, izjeme so: Finska: od 15 do 74 let, Estonija: 15 let ali več, Japonska: 16 let ali več, Južna Afrika: 16 let ali več, Norveška: od 18 do 79 let, ter Surinam: od 21 do 74 let. Za dodatna pojasnila glej doi:10.4232/1.12848. |
| Excluded: | no information |
| Data collected by: |
Avstralija: Australian Consortium for Social and Political Research Inc. (ACSPRI), Black Rock Avstrija: IFES, Vienna Belgija: Research Center of the Flemish Government, Brussels, and IWEPS, Namur Češka: STEM/MARK, Prague Čile: CADEM, Santiago de Chile Danska: Rambøll Denmark A/S, Copenhagen Estonija: Saar Poll, Tallinn Filipini: Social Weather Stations, Quezon City Finska: Statistics Finland, Social Survey Unit, Helsinki Francija: PACTE-CNRS, Grenoble Gruzija: Center for Social Sciences (CSS), Tbilisi Hrvaška: GFK market research Indija: CVoter News Services Pvt. Ltd., Noida Islandija: Social Science Research Institute (SSRI) - University of Iceland Izrael: B.I. and Lucille Cohen Institute for public opinion research, Tel Aviv Japonska: Central Research Services, Inc., Tokyo Južna Afrika: Human Sciences Research Council, Pretoria Kitajska: National Survey Research Center at Renmin University of China, Beijing Latvija: TNS Latvia, Riga Litva: Eurotela, Klaipėda Madžarska: TÁRKI Social Research Institute, Budapest Mehika: Institute of Marketing and Opinion (IMO) Nemčija: TNS Infratest Norveška: TNS Gallup (kontakt in administracija papirnatih vprašalnikov) and Norwegian Social Science Data Services (NSD) (administracija spletnih vprašalnikov), Bergen Nova Zelandija: Zelandija: Centre of Methods and Policy Application in the Social Sciences (COMPASS), The University of Auckland Poljska: Central Statistical Office of Poland (GUS), Warsaw Ruska federacija: Levada-Center, Moscow Slovaška: TNS Slovakia, Bratislava Slovenija: Center za raziskovanje javnega mnenja in množičnih komunikacij (CJMMK), Univerza v Ljubljani Surinam: Anton de Kom University of Suriname, Paramaribo Španija: Centro de Investigaciones Sociológicas (CIS), Madrid Švedska: SIFO, Stockholm Švica: M.I.S. Trend SA, Economic and social research institute, Lausanne Tajvan: Center for Survey Research, RCHSS, Academia Sinica, Taipei City Velika Britanija: National Centre for Social Research (NatCen), London Venezuela: Instituto Delphos, Caracas Združene države Amerike: National Opinion Research Center (NORC) at the University of Chicago, Chicago |
| Sampling procedure: |
Verjetnostno: enostavno slučajno Verjetnostno: sistematično slučajno Verjetnostno: stratificirano Verjetnostno: stratificirano: proporcionalno Verjetnostno: stratificirano: disproporcionalno Verjetnostno: večstopenjsko Vzorčenje se razlikuje glede na posamezne države. Za dodatna pojasnila glej doi:10.4232/1.12848. |
| Mode of data collection: |
Osebni intervju: CAPI/CAMI Osebni intervju: PAPI Vprašalnik za samoizpolnjevanje: papirnati Vprašalnik za samoizpolnjevanje: računalniško podprti (CASI) Vprašalnik za samoizpolnjevanje: spletni Telefonski intervju Odvisno od posamezne države. Za dodatna pojasnila glej doi:10.4232/1.12848. |
| Weighting: |
Da. Za dodatna pojasnila glej doi:10.4232/1.12848. |
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:10.4232/1.12848.
Contact: GESIS Datenarchiv
Več o pravilnem navajanju podatkov na doi:10.4232/1.12848.
Več o uporabnikovi odgovornosti obveščanja arhiva o uporabi podatkov in objavi del na doi:10.4232/1.12848.
Uporabnik naj pred uporabo pozorno prebere spremljajočo dokumentacijo in se v primeru nejasnosti obrne na avtorje raziskave ali Arhiv.
Title of Data file: ZA6770: International Social Survey Programme: Work Orientations IV - ISSP 2015 [Podatkovna datoteka]
File ID: F1
Format: OSTALO
Version: 2.1.0, doi:10.4232/1.12848
studyno GESIS Data Archive Study Number
| Value 13 | Frequency | |
|---|---|---|
| 6770 | GESIS Data Archive Study Number ZA6770 | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51668 | 0 | 6770 | 6770 |
Valid range from 6770 to 6770
version GESIS Archive Version
| Value 22 | Frequency | |
|---|---|---|
| 2.1.0 (2017-08-30) | 51668 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51668 | 0 |
doi Digital Object Identifier
| Value 31 | Frequency | |
|---|---|---|
| doi:10.4232/1.12848 | 51668 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51668 | 0 |
studyno GESIS Data Archive Study Number
| Value 1442 | Frequency | |
|---|---|---|
| 6770 | GESIS Data Archive Study Number ZA6770 | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51668 | 0 | 6770 | 6770 |
Valid range from 6770 to 6770
version GESIS Archive Version
| Value 2441 | Frequency | |
|---|---|---|
| 2.1.0 (2017-08-30) | 51668 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51668 | 0 |
doi Digital Object Identifier
| Value 3440 | Frequency | |
|---|---|---|
| doi:10.4232/1.12848 | 51668 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51668 | 0 |
c_sample Country/ Sample ISO 3166 Code (see country for codes for whole nation states)
| Value 4439 | Frequency | |
|---|---|---|
| 36 | AU-Australia | 1211 |
| 40 | AT-Austria | 1001 |
| 152 | CL-Chile | 1433 |
| 156 | CN-China | 1795 |
| 158 | TW-Taiwan | 2031 |
| 191 | HR-Croatia | 1000 |
| 203 | CZ-Czech Republic | 1435 |
| 208 | DK-Denmark | 1138 |
| 233 | EE-Estonia | 1207 |
| 246 | FI-Finland | 1203 |
| 250 | FR-France | 1224 |
| 268 | GE-Georgia | 1487 |
| 348 | HU-Hungary | 1003 |
| 352 | IS-Iceland | 1126 |
| 356 | IN-India | 1336 |
| 392 | JP-Japan | 1573 |
| 428 | LV-Latvia | 1002 |
| 440 | LT-Lithuania | 1127 |
| 484 | MX-Mexico | 1141 |
| 554 | NZ-New Zealand | 901 |
| 578 | NO-Norway | 1550 |
| 608 | PH-Philippines | 1200 |
| 616 | PL-Poland | 2112 |
| 643 | RU-Russia | 1596 |
| 703 | SK-Slovak Republic | 1150 |
| 705 | SI-Slovenia | 1023 |
| 710 | ZA-South Africa | 2940 |
| 724 | ES-Spain | 1834 |
| 740 | SR-Suriname | 1139 |
| 752 | SE-Sweden | 1162 |
| 756 | CH-Switzerland | 1235 |
| 840 | US-United States | 1477 |
| 862 | VE-Venezuela | 1007 |
| 5601 | BE-FLA-Belgium/ Flanders | 963 |
| 5602 | BE-WAL-Belgium/ Wallonia | 639 |
| 5603 | BE-BRU-Belgium/ Brussels | 539 |
| 27601 | DE-W-Germany-West | 1127 |
| 27602 | DE-E-Germany-East | 560 |
| 37601 | IL-J-Israel, Jews | 1025 |
| 37602 | IL-A-Israel, Arabs | 223 |
| 82601 | GB-GBN-Great Britain | 1793 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51668 | 0 | 36 | 82601 |
Valid range from 36 to 82601
country Country ISO 3166 Code (see c_sample for codes for the sample)
| Value 5438 | Frequency | |
|---|---|---|
| 36 | AU-Australia | 1211 |
| 40 | AT-Austria | 1001 |
| 56 | BE-Belgium | 2141 |
| 152 | CL-Chile | 1433 |
| 156 | CN-China | 1795 |
| 158 | TW-Taiwan | 2031 |
| 191 | HR-Croatia | 1000 |
| 203 | CZ-Czech Republic | 1435 |
| 208 | DK-Denmark | 1138 |
| 233 | EE-Estonia | 1207 |
| 246 | FI-Finland | 1203 |
| 250 | FR-France | 1224 |
| 268 | GE-Georgia | 1487 |
| 276 | DE-Germany | 1687 |
| 348 | HU-Hungary | 1003 |
| 352 | IS-Iceland | 1126 |
| 356 | IN-India | 1336 |
| 376 | IL-Israel | 1248 |
| 392 | JP-Japan | 1573 |
| 428 | LV-Latvia | 1002 |
| 440 | LT-Lithuania | 1127 |
| 484 | MX-Mexico | 1141 |
| 554 | NZ-New Zealand | 901 |
| 578 | NO-Norway | 1550 |
| 608 | PH-Philippines | 1200 |
| 616 | PL-Poland | 2112 |
| 643 | RU-Russia | 1596 |
| 703 | SK-Slovak Republic | 1150 |
| 705 | SI-Slovenia | 1023 |
| 710 | ZA-South Africa | 2940 |
| 724 | ES-Spain | 1834 |
| 740 | SR-Suriname | 1139 |
| 752 | SE-Sweden | 1162 |
| 756 | CH-Switzerland | 1235 |
| 826 | GB-Great Britain and/or United Kingdom | 1793 |
| 840 | US-United States | 1477 |
| 862 | VE-Venezuela | 1007 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51668 | 0 | 36 | 862 |
Valid range from 36 to 862
c_alphan Country Prefix ISO 3166
| Value 6437 | Frequency | |
|---|---|---|
| AT | 1001 | |
| AU | 1211 | |
| BE | 2141 | |
| CH | 1235 | |
| CL | 1433 | |
| CN | 1795 | |
| CZ | 1435 | |
| DE | 1687 | |
| DK | 1138 | |
| EE | 1207 | |
| ES | 1834 | |
| FI | 1203 | |
| FR | 1224 | |
| GB-GBN | 1793 | |
| GE | 1487 | |
| HR | 1000 | |
| HU | 1003 | |
| IL | 1248 | |
| IN | 1336 | |
| IS | 1126 | |
| JP | 1573 | |
| LT | 1127 | |
| LV | 1002 | |
| MX | 1141 | |
| NO | 1550 | |
| NZ | 901 | |
| PH | 1200 | |
| PL | 2112 | |
| RU | 1596 | |
| SE | 1162 | |
| SI | 1023 | |
| SK | 1150 | |
| SR | 1139 | |
| TW | 2031 | |
| US | 1477 | |
| VE | 1007 | |
| ZA | 2940 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51668 | 0 |
v1 Q1a Job is a way of earning money
| Value 7436 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 7105 |
| 2 | Agree | 13783 |
| 3 | Neither agree nor disagree | 7536 |
| 4 | Disagree | 14827 |
| 5 | Strongly disagree | 6766 |
| 8 | Can't choose | 665 |
| 9 | No answer, refused | 986 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50017 | 1651 | 1 | 5 |
Valid range from 1 to 5
v2 Q1b Enjoy a paid job even if I did not need money
| Value 8435 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 9022 |
| 2 | Agree | 21195 |
| 3 | Neither agree nor disagree | 7345 |
| 4 | Disagree | 7890 |
| 5 | Strongly disagree | 3640 |
| 8 | Can't choose | 1605 |
| 9 | No answer, refused | 971 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49092 | 2576 | 1 | 5 |
Valid range from 1 to 5
v3 Q2a Personally important: job security
| Value 9434 | Frequency | |
|---|---|---|
| 1 | Very important | 29974 |
| 2 | Important | 17997 |
| 3 | Neither important nor unimportant | 1899 |
| 4 | Not important | 716 |
| 5 | Not important at all | 233 |
| 8 | Can't choose | 433 |
| 9 | No answer, refused | 416 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50819 | 849 | 1 | 5 |
Valid range from 1 to 5
v4 Q2b Personally important: high income
| Value 10433 | Frequency | |
|---|---|---|
| 1 | Very important | 16258 |
| 2 | Important | 25062 |
| 3 | Neither important nor unimportant | 7098 |
| 4 | Not important | 2103 |
| 5 | Not important at all | 229 |
| 8 | Can't choose | 408 |
| 9 | No answer, refused | 510 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50750 | 918 | 1 | 5 |
Valid range from 1 to 5
v5 Q2c Personally important: opportunities for advancement
| Value 11432 | Frequency | |
|---|---|---|
| 1 | Very important | 15075 |
| 2 | Important | 22494 |
| 3 | Neither important nor unimportant | 8503 |
| 4 | Not important | 3681 |
| 5 | Not important at all | 717 |
| 8 | Can't choose | 625 |
| 9 | No answer, refused | 573 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50470 | 1198 | 1 | 5 |
Valid range from 1 to 5
v6 Q2d Personally important: an interesting job
| Value 12431 | Frequency | |
|---|---|---|
| 1 | Very important | 23607 |
| 2 | Important | 22217 |
| 3 | Neither important nor unimportant | 3587 |
| 4 | Not important | 1032 |
| 5 | Not important at all | 240 |
| 8 | Can't choose | 469 |
| 9 | No answer, refused | 516 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50683 | 985 | 1 | 5 |
Valid range from 1 to 5
v7 Q2e Personally important: work independently
| Value 13430 | Frequency | |
|---|---|---|
| 1 | Very important | 14898 |
| 2 | Important | 22416 |
| 3 | Neither important nor unimportant | 9031 |
| 4 | Not important | 3436 |
| 5 | Not important at all | 628 |
| 8 | Can't choose | 699 |
| 9 | No answer, refused | 560 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50409 | 1259 | 1 | 5 |
Valid range from 1 to 5
v8 Q2f Personally important: help other people
| Value 14429 | Frequency | |
|---|---|---|
| 1 | Very important | 14757 |
| 2 | Important | 23799 |
| 3 | Neither important nor unimportant | 9118 |
| 4 | Not important | 2228 |
| 5 | Not important at all | 516 |
| 8 | Can't choose | 728 |
| 9 | No answer, refused | 522 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50418 | 1250 | 1 | 5 |
Valid range from 1 to 5
v9 Q2g Personally important: a job useful to society
| Value 15428 | Frequency | |
|---|---|---|
| 1 | Very important | 15595 |
| 2 | Important | 23956 |
| 3 | Neither important nor unimportant | 8179 |
| 4 | Not important | 2107 |
| 5 | Not important at all | 564 |
| 8 | Can't choose | 735 |
| 9 | No answer, refused | 532 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50401 | 1267 | 1 | 5 |
Valid range from 1 to 5
v10 Q2h Personally important: decide time of work
| Value 16427 | Frequency | |
|---|---|---|
| 1 | Very important | 11131 |
| 2 | Important | 19897 |
| 3 | Neither important nor unimportant | 11846 |
| 4 | Not important | 5996 |
| 5 | Not important at all | 1329 |
| 8 | Can't choose | 900 |
| 9 | No answer, refused | 569 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50199 | 1469 | 1 | 5 |
Valid range from 1 to 5
v11 Q2i Personally important: contact with other people
| Value 17426 | Frequency | |
|---|---|---|
| 1 | Very important | 14232 |
| 2 | Important | 22997 |
| 3 | Neither important nor unimportant | 8804 |
| 4 | Not important | 3524 |
| 5 | Not important at all | 890 |
| 8 | Can't choose | 727 |
| 9 | No answer, refused | 494 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50447 | 1221 | 1 | 5 |
Valid range from 1 to 5
v12 Q3 Give up job opportunities for benefit of family life
| Value 18425 | Frequency | |
|---|---|---|
| 1 | Yes, I have done so and probably would do so again | 12078 |
| 2 | Yes, I have done so but probably would not do so again | 4152 |
| 3 | No, I have not done so but probably would do so | 17316 |
| 4 | No, I have not done so and probably would not do so | 13303 |
| 8 | Can't choose | 4235 |
| 9 | No answer, refused | 584 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46849 | 4819 | 1 | 4 |
Valid range from 1 to 4
v13 Q4 Remain in not satisfying job for benefit of family life
| Value 19424 | Frequency | |
|---|---|---|
| 1 | Yes, I have done so and probably would do so again | 11022 |
| 2 | Yes, I have done so but probably would not do so again | 6260 |
| 3 | No, I have not done so but probably would do so | 13956 |
| 4 | No, I have not done so and probably would not do so | 15141 |
| 8 | Can't choose | 4613 |
| 9 | No answer, refused | 676 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46379 | 5289 | 1 | 4 |
Valid range from 1 to 4
v14 Q5 Past five years: discriminated against with regard to work
| Value 20423 | Frequency | |
|---|---|---|
| 1 | Yes | 7487 |
| 2 | No | 34062 |
| 0 | Does not apply: Did not work or did not seek work | 9374 |
| 8 | Don't know | 32 |
| 9 | No answer, refused | 713 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41549 | 10119 | 1 | 2 |
Valid range from 1 to 2
v15 Q6 Reason for discrimination
| Value 21422 | Frequency | |
|---|---|---|
| 1 | My age | 1617 |
| 2 | My race, ethnicity | 653 |
| 3 | My nationality | 283 |
| 4 | My sex | 654 |
| 5 | My religion | 114 |
| 6 | My disability/ mental or physical illness | 352 |
| 7 | My family responsibilities | 587 |
| 8 | My political beliefs | 389 |
| 9 | Other reason;TW: Other incl. education | 2467 |
| 0 | Not applicable (code 2,0 in v14) | 43419 |
| 98 | Can't choose | 430 |
| 99 | No answer, refused | 703 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 7116 | 44552 | 1 | 9 |
Valid range from 1 to 9
V16 Q7 Past five years: harassed at your job
| Value 22421 | Frequency | |
|---|---|---|
| 1 | Yes | 5232 |
| 2 | No | 34671 |
| 0 | Does not apply (I do not have a job/superior/co-worker),incl | 10909 |
| 8 | Don't know | 4 |
| 9 | No answer, refused | 852 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 39903 | 11765 | 1 | 2 |
Valid range from 1 to 2
v17 Q8a Workers need trade unions
| Value 23420 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 13636 |
| 2 | Agree | 19904 |
| 3 | Neither agree nor disagree | 8679 |
| 4 | Disagree | 4227 |
| 5 | Strongly disagree | 1645 |
| 8 | Can't choose | 2760 |
| 9 | No answer | 817 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48091 | 3577 | 1 | 5 |
Valid range from 1 to 5
v18 Q8b Strong trade unions bad for economy
| Value 24419 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 2848 |
| 2 | Agree | 6480 |
| 3 | Neither agree nor disagree | 12481 |
| 4 | Disagree | 15540 |
| 5 | Strongly disagree | 7556 |
| 8 | Can't choose | 5036 |
| 9 | No answer | 1727 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44905 | 6763 | 1 | 5 |
Valid range from 1 to 5
v19 Q9 Preference of pers work situation at present
| Value 25418 | Frequency | |
|---|---|---|
| 1 | A full-time job [30 hours or more per week] | 28530 |
| 2 | A part-time job [10-29 hours per week] | 11952 |
| 3 | A job with less than 10 hours a week | 2934 |
| 4 | No paid job at all | 4807 |
| 8 | Can't choose | 2712 |
| 9 | No answer, refused | 733 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48223 | 3445 | 1 | 4 |
Valid range from 1 to 4
v20 Q10 Respondent currently working for pay
| Value 26417 | Frequency | |
|---|---|---|
| 1 | Yes | 28349 |
| 2 | No | 22847 |
| 9 | No answer, refused | 472 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51196 | 472 | 1 | 2 |
Valid range from 1 to 2
v21 Q11 Preference: number of hours working - earning money
| Value 27416 | Frequency | |
|---|---|---|
| 1 | Work longer, earn more money | 9371 |
| 2 | Same number of hours, same money | 15182 |
| 3 | Work fewer, earn less money | 1808 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK);NAV (VE) | 23288 |
| 8 | Can't choose | 1364 |
| 9 | No answer, refused | 655 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 26361 | 25307 | 1 | 3 |
Valid range from 1 to 3
v22 Q12a Apply to R's job: my job is secure
| Value 28415 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 7924 |
| 2 | Agree | 11331 |
| 3 | Neither agree nor disagree | 4168 |
| 4 | Disagree | 3316 |
| 5 | Strongly disagree | 1129 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22828 |
| 8 | Can't choose | 328 |
| 9 | No answer, refused | 644 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27868 | 23800 | 1 | 5 |
Valid range from 1 to 5
v23 Q12b Apply to R's job: my income is high
| Value 29414 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 1922 |
| 2 | Agree | 6163 |
| 3 | Neither agree nor disagree | 7791 |
| 4 | Disagree | 9040 |
| 5 | Strongly disagree | 2989 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22828 |
| 8 | Can't choose | 248 |
| 9 | No answer, refused | 687 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27905 | 23763 | 1 | 5 |
Valid range from 1 to 5
v24 Q12c Apply to R's job: opportunities for advancement are high
| Value 30413 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 1915 |
| 2 | Agree | 6004 |
| 3 | Neither agree nor disagree | 7172 |
| 4 | Disagree | 8630 |
| 5 | Strongly disagree | 3625 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22829 |
| 8 | Can't choose | 729 |
| 9 | No answer, refused | 764 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27346 | 24322 | 1 | 5 |
Valid range from 1 to 5
v25 Q12d Apply to R's job: my job is interesting
| Value 31412 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 7297 |
| 2 | Agree | 12678 |
| 3 | Neither agree nor disagree | 4755 |
| 4 | Disagree | 2435 |
| 5 | Strongly disagree | 797 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22829 |
| 8 | Can't choose | 193 |
| 9 | No answer, refused | 684 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27962 | 23706 | 1 | 5 |
Valid range from 1 to 5
v26 Q12e Apply to R's job: can work independently
| Value 32411 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 8039 |
| 2 | Agree | 12263 |
| 3 | Neither agree nor disagree | 3467 |
| 4 | Disagree | 2965 |
| 5 | Strongly disagree | 1239 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22828 |
| 8 | Can't choose | 191 |
| 9 | No answer, refused | 676 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27973 | 23695 | 1 | 5 |
Valid range from 1 to 5
v27 Q12f Apply to R's job: can help other people
| Value 33410 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 8012 |
| 2 | Agree | 12412 |
| 3 | Neither agree nor disagree | 4354 |
| 4 | Disagree | 2281 |
| 5 | Strongly disagree | 780 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22829 |
| 8 | Can't choose | 328 |
| 9 | No answer, refused | 672 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27839 | 23829 | 1 | 5 |
Valid range from 1 to 5
v28 Q12g Apply to R's job: job is useful to society
| Value 34409 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 8360 |
| 2 | Agree | 12379 |
| 3 | Neither agree nor disagree | 4704 |
| 4 | Disagree | 1765 |
| 5 | Strongly disagree | 554 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22829 |
| 8 | Can't choose | 398 |
| 9 | No answer, refused | 679 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27762 | 23906 | 1 | 5 |
Valid range from 1 to 5
v29 Q12h Apply to R's job: personal contact with other people
| Value 35408 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 11955 |
| 2 | Agree | 12350 |
| 3 | Neither agree nor disagree | 2158 |
| 4 | Disagree | 1133 |
| 5 | Strongly disagree | 375 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22829 |
| 8 | Can't choose | 208 |
| 9 | No answer, refused | 660 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27971 | 23697 | 1 | 5 |
Valid range from 1 to 5
v30 Q13a How often applies: Do hard physical work
| Value 36407 | Frequency | |
|---|---|---|
| 1 | Always | 3311 |
| 2 | Often | 5078 |
| 3 | Sometimes | 6891 |
| 4 | Hardly ever | 5696 |
| 5 | Never | 7129 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22828 |
| 8 | Can't choose | 102 |
| 9 | No answer, refused | 633 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 28105 | 23563 | 1 | 5 |
Valid range from 1 to 5
v31 Q13b How often applies: find work stressful
| Value 37406 | Frequency | |
|---|---|---|
| 1 | Always | 3068 |
| 2 | Often | 7311 |
| 3 | Sometimes | 11353 |
| 4 | Hardly ever | 3934 |
| 5 | Never | 2370 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22829 |
| 8 | Can't choose | 133 |
| 9 | No answer, refused | 670 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 28036 | 23632 | 1 | 5 |
Valid range from 1 to 5
v32 Q14a And how often applies: work at home during working hours
| Value 38405 | Frequency | |
|---|---|---|
| 1 | Always | 1827 |
| 2 | Often | 2553 |
| 3 | Sometimes | 4266 |
| 4 | Hardly ever | 3762 |
| 5 | Never | 14815 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK);NAV (DK) | 23618 |
| 8 | Can't choose | 237 |
| 9 | No answer, refused | 590 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27223 | 24445 | 1 | 5 |
Valid range from 1 to 5
v33 Q14b And how often applies: involve working on weekends
| Value 39404 | Frequency | |
|---|---|---|
| 1 | Always | 3901 |
| 2 | Often | 5629 |
| 3 | Sometimes | 7120 |
| 4 | Hardly ever | 4154 |
| 5 | Never | 6508 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK);NAV (DK) | 23619 |
| 8 | Can't choose | 136 |
| 9 | No answer, refused | 601 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27312 | 24356 | 1 | 5 |
Valid range from 1 to 5
v34 Q15 Best describes the working hours conditions
| Value 40403 | Frequency | |
|---|---|---|
| 1 | I cannot change, fixed time | 14519 |
| 2 | I can decide within certain limits | 9235 |
| 3 | I am entirely free to decide | 4102 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22829 |
| 8 | Don't know | 208 |
| 9 | No answer, refused | 775 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27856 | 23812 | 1 | 3 |
Valid range from 1 to 3
v35 Q16 Best describes the usual working schedule
| Value 41402 | Frequency | |
|---|---|---|
| 1 | I have a regular schedule or shift | 19482 |
| 2 | I have a schedule or shift which regularly changes | 4388 |
| 3 | I have a schedule where daily working times are decided at s | 2284 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22828 |
| 8 | Can't choose | 1802 |
| 9 | No answer, refused | 884 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 26154 | 25514 | 1 | 3 |
Valid range from 1 to 3
v36 Q17 Best describes the organization of daily work
| Value 42401 | Frequency | |
|---|---|---|
| 1 | I am free to decide | 8004 |
| 2 | Decide within certain limits | 12045 |
| 3 | I am not free to decide | 7457 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22828 |
| 8 | Can't choose | 465 |
| 9 | No answer, refused | 869 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27506 | 24162 | 1 | 3 |
Valid range from 1 to 3
v37 Q18 How difficult: take time off during working hours
| Value 43400 | Frequency | |
|---|---|---|
| 1 | Not difficult at all | 8344 |
| 2 | Not too difficult | 8878 |
| 3 | Somewhat difficult | 5651 |
| 4 | Very difficult | 4732 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22829 |
| 8 | Can't choose | 414 |
| 9 | No answer, refused | 820 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27605 | 24063 | 1 | 4 |
Valid range from 1 to 4
v38 Q19a How often: demands of job interfere with family life
| Value 44399 | Frequency | |
|---|---|---|
| 1 | Always | 890 |
| 2 | Often | 3233 |
| 3 | Sometimes | 8285 |
| 4 | Hardly ever | 7565 |
| 5 | Never | 7866 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22829 |
| 8 | Can't choose | 353 |
| 9 | No answer, refused | 647 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27839 | 23829 | 1 | 5 |
Valid range from 1 to 5
v39 Q19b How often: family life interferes with job
| Value 45398 | Frequency | |
|---|---|---|
| 1 | Always | 410 |
| 2 | Often | 1384 |
| 3 | Sometimes | 5737 |
| 4 | Hardly ever | 8883 |
| 5 | Never | 11144 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22830 |
| 8 | Can't choose | 405 |
| 9 | No answer, refused | 875 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27558 | 24110 | 1 | 5 |
Valid range from 1 to 5
v40 Q20 How much use of past work experience and skills
| Value 46397 | Frequency | |
|---|---|---|
| 1 | Almost none | 3582 |
| 2 | A little | 6277 |
| 3 | A lot | 8764 |
| 4 | Almost all | 8053 |
| 5 | ES,RU: never another job | 229 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22829 |
| 8 | Can't choose | 1218 |
| 9 | No answer, refused | 716 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 26905 | 24763 | 1 | 5 |
Valid range from 1 to 5
v41 Q21 Training to improve job skills over past 12 months
| Value 47396 | Frequency | |
|---|---|---|
| 1 | Yes | 12311 |
| 2 | No | 15570 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22829 |
| 8 | Can't choose | 309 |
| 9 | No answer, refused | 649 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27881 | 23787 | 1 | 2 |
Valid range from 1 to 2
v42 Q22a Relations: between management and employees
| Value 48395 | Frequency | |
|---|---|---|
| 1 | Very good | 7071 |
| 2 | Quite good | 12092 |
| 3 | Neither good nor bad | 5479 |
| 4 | Quite bad | 1278 |
| 5 | Very bad | 447 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22829 |
| 8 | Can't choose | 1350 |
| 9 | No answer, refused | 1122 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 26367 | 25301 | 1 | 5 |
Valid range from 1 to 5
v43 Q22b Relations: between workmates/ colleagues?
| Value 49394 | Frequency | |
|---|---|---|
| 1 | Very good | 9578 |
| 2 | Quite good | 12948 |
| 3 | Neither good nor bad | 3242 |
| 4 | Quite bad | 462 |
| 5 | Very bad | 158 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22830 |
| 8 | Can't choose | 1246 |
| 9 | No answer, refused | 1204 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 26388 | 25280 | 1 | 5 |
Valid range from 1 to 5
v44 Q23 How satisfied are you in your (main) job
| Value 50393 | Frequency | |
|---|---|---|
| 1 | Completely satisfied | 4304 |
| 2 | Very satisfied | 8248 |
| 3 | Fairly satisfied | 10333 |
| 4 | Neither satisfied nor dissatisfied | 3183 |
| 5 | Fairly dissatisfied | 1322 |
| 6 | Very dissatisfied | 435 |
| 7 | Completely dissatisfied | 217 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22830 |
| 8 | Can't choose | 158 |
| 9 | No answer, refused | 638 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 28042 | 23626 | 1 | 7 |
Valid range from 1 to 7
v45 Q24a Willing to work harder to help firm succeed
| Value 51392 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 4981 |
| 2 | Agree | 11344 |
| 3 | Neither agree nor disagree | 6029 |
| 4 | Disagree | 3466 |
| 5 | Strongly disagree | 1265 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22830 |
| 8 | Can't choose | 782 |
| 9 | No answer, refused | 971 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27085 | 24583 | 1 | 5 |
Valid range from 1 to 5
v46 Q24b Proud to be working for my firm
| Value 52391 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 6053 |
| 2 | Agree | 12116 |
| 3 | Neither agree nor disagree | 6412 |
| 4 | Disagree | 1929 |
| 5 | Strongly disagree | 627 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22831 |
| 8 | Can't choose | 727 |
| 9 | No answer, refused | 973 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27137 | 24531 | 1 | 5 |
Valid range from 1 to 5
v47 Q24c I would turn down another job to stay
| Value 53390 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 2745 |
| 2 | Agree | 5235 |
| 3 | Neither agree nor disagree | 6423 |
| 4 | Disagree | 7407 |
| 5 | Strongly disagree | 4313 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22831 |
| 8 | Can't choose | 1684 |
| 9 | No answer, refused | 1030 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 26123 | 25545 | 1 | 5 |
Valid range from 1 to 5
v48 Q25a I would change type of work
| Value 54389 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 3266 |
| 2 | Agree | 7340 |
| 3 | Neither agree nor disagree | 5811 |
| 4 | Disagree | 7031 |
| 5 | Strongly disagree | 3676 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22830 |
| 8 | Can't choose | 824 |
| 9 | No answer, refused | 890 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27124 | 24544 | 1 | 5 |
Valid range from 1 to 5
v49 Q25b I am proud of the type of work I do
| Value 55388 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 6960 |
| 2 | Agree | 12371 |
| 3 | Neither agree nor disagree | 5720 |
| 4 | Disagree | 1824 |
| 5 | Strongly disagree | 689 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22831 |
| 8 | Can't choose | 394 |
| 9 | No answer, refused | 879 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27564 | 24104 | 1 | 5 |
Valid range from 1 to 5
v50 Q26 Easy or difficult to find a good job as the current
| Value 56387 | Frequency | |
|---|---|---|
| 1 | Very easy | 1483 |
| 2 | Fairly easy | 4739 |
| 3 | Neither easy nor difficult | 6222 |
| 4 | Fairly difficult | 9359 |
| 5 | Very difficult | 5337 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22830 |
| 8 | Can't choose | 1037 |
| 9 | No answer, refused | 661 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27140 | 24528 | 1 | 5 |
Valid range from 1 to 5
v51 Q27 How likely: try to find a job within next 12 months
| Value 57386 | Frequency | |
|---|---|---|
| 1 | Very likely | 2479 |
| 2 | Likely | 4794 |
| 3 | Unlikely | 8275 |
| 4 | Very unlikely | 11077 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22830 |
| 8 | Can't choose | 1356 |
| 9 | No answer, refused | 857 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 26625 | 25043 | 1 | 4 |
Valid range from 1 to 4
v52 Q28 Extent to worry about the possibility of losing job
| Value 58385 | Frequency | |
|---|---|---|
| 1 | I worry a great deal | 3738 |
| 2 | I worry to some extent | 5656 |
| 3 | I worry a little | 8090 |
| 4 | I don't worry at all | 10550 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22830 |
| 8 | Don't know | 22 |
| 9 | No answer, refused | 782 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 28034 | 23634 | 1 | 4 |
Valid range from 1 to 4
v53 Q29a Avoid unemployment: accept job that requires new skills
| Value 59384 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 8483 |
| 2 | Agree | 13667 |
| 3 | Neither agree nor disagree | 2673 |
| 4 | Disagree | 1815 |
| 5 | Strongly disagree | 721 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22831 |
| 8 | Can't choose | 590 |
| 9 | No answer, refused | 888 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27359 | 24309 | 1 | 5 |
Valid range from 1 to 5
v54 Q29b Avoid unemployment: accept lower position with lower pay
| Value 60383 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 2879 |
| 2 | Agree | 8557 |
| 3 | Neither agree nor disagree | 5076 |
| 4 | Disagree | 7344 |
| 5 | Strongly disagree | 3362 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22831 |
| 8 | Can't choose | 667 |
| 9 | No answer, refused | 952 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27218 | 24450 | 1 | 5 |
Valid range from 1 to 5
v55 Q29c Avoid unemployment: accept temporary employment
| Value 61382 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 4192 |
| 2 | Agree | 12226 |
| 3 | Neither agree nor disagree | 4090 |
| 4 | Disagree | 4474 |
| 5 | Strongly disagree | 2252 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22831 |
| 8 | Can't choose | 631 |
| 9 | No answer, refused | 972 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27234 | 24434 | 1 | 5 |
Valid range from 1 to 5
v56 Q29d Avoid unemployment: travel longer to get to work
| Value 62381 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 3154 |
| 2 | Agree | 9850 |
| 3 | Neither agree nor disagree | 4800 |
| 4 | Disagree | 6447 |
| 5 | Strongly disagree | 3017 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22830 |
| 8 | Can't choose | 580 |
| 9 | No answer, refused | 990 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27268 | 24400 | 1 | 5 |
Valid range from 1 to 5
v57 Q29e Avoid unemployment: move within [country]
| Value 63380 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 1750 |
| 2 | Agree | 5233 |
| 3 | Neither agree nor disagree | 3953 |
| 4 | Disagree | 8580 |
| 5 | Strongly disagree | 7496 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22831 |
| 8 | Can't choose | 841 |
| 9 | No answer, refused | 984 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27012 | 24656 | 1 | 5 |
Valid range from 1 to 5
v58 Q29f Avoid unemployment: to move to a different country
| Value 64379 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 1711 |
| 2 | Agree | 4082 |
| 3 | Neither agree nor disagree | 3366 |
| 4 | Disagree | 7351 |
| 5 | Strongly disagree | 10395 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22831 |
| 8 | Can't choose | 924 |
| 9 | No answer, refused | 1008 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 26905 | 24763 | 1 | 5 |
Valid range from 1 to 5
v59 Q30 Past 12 months: additional work for pay
| Value 65378 | Frequency | |
|---|---|---|
| 1 | Yes, during all of that period | 1676 |
| 2 | Yes, during most of that period | 934 |
| 3 | Yes, during some of that period | 2584 |
| 4 | No | 22971 |
| 0 | Not applicable (c.2 in v20 or 2,3 in WORK) | 22830 |
| 8 | Don't know | 1 |
| 9 | No answer, refused | 672 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 28165 | 23503 | 1 | 4 |
Valid range from 1 to 4
v60 Q31 Past 12 months: earnings from additional work
| Value 66377 | Frequency | |
|---|---|---|
| 1 | Much less than from main job | 2079 |
| 2 | Less than from main job | 1610 |
| 3 | About the same as from main job | 749 |
| 4 | More than from main job | 422 |
| 5 | Much more than from main job | 172 |
| 0 | Not applicable (code 4,0 in v59) | 45781 |
| 8 | Can't choose | 148 |
| 9 | No answer, refused | 707 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 5032 | 46636 | 1 | 5 |
Valid range from 1 to 5
v61 Q32 Not currently working: had paid job for 1 year or more
| Value 67376 | Frequency | |
|---|---|---|
| 1 | Yes | 15856 |
| 2 | No | 6663 |
| 0 | Not applicable (code 1 in v20) | 28271 |
| 8 | Don't know | 4 |
| 9 | No answer, refused | 874 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 22519 | 29149 | 1 | 2 |
Valid range from 1 to 2
v62 Q33a Not currently working: end (year) of last paid job
| Value 68375 | Frequency | |
|---|---|---|
| 1933 | 1933 | 1 |
| 2017 | 2017 | 18 |
| 0 | Not applicable (code 2,0 in v61) | 34925 |
| 9998 | Don't know, difficult to answer | 40 |
| 9999 | No answer, refused | 1500 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 15203 | 36465 | 1933 | 2017 |
Valid range from 1933 to 2017
v63 Q33b Not currently working: end (month) of last paid job
| Value 69374 | Frequency | |
|---|---|---|
| 1 | January | 1228 |
| 2 | February | 858 |
| 3 | March | 1141 |
| 4 | April | 958 |
| 5 | May | 1228 |
| 6 | June | 1577 |
| 7 | July | 1093 |
| 8 | August | 1105 |
| 9 | September | 1251 |
| 10 | October | 1029 |
| 11 | November | 719 |
| 12 | December | 1527 |
| 0 | Not applicable (code 2,0 in v61) | 34928 |
| 98 | Don't know | 236 |
| 99 | No answer, refused | 2790 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 13714 | 37954 | 1 | 12 |
Valid range from 1 to 12
v64 Q34 How satisfied in last job
| Value 70373 | Frequency | |
|---|---|---|
| 1 | Completely satisfied | 3071 |
| 2 | Very satisfied | 4364 |
| 3 | Fairly satisfied | 4778 |
| 4 | Neither satisfied nor dissatisfied | 1785 |
| 5 | Fairly dissatisfied | 885 |
| 6 | Very dissatisfied | 463 |
| 7 | Completely dissatisfied | 281 |
| 0 | Not applicable (code 2,0 in v61) | 34924 |
| 8 | Can't choose | 130 |
| 9 | No answer, refused | 987 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 15627 | 36041 | 1 | 7 |
Valid range from 1 to 7
v65 Q35 Not currently working: main reason for job end
| Value 71372 | Frequency | |
|---|---|---|
| 1 | I reached retirement age | 5095 |
| 2 | I retired early, by choice | 1789 |
| 3 | I retired early, not by choice | 680 |
| 4 | I became (permanently) disabled | 1596 |
| 5 | My place of work shut down | 1267 |
| 6 | I was dismissed | 954 |
| 7 | My term of employment/contract ended | 1392 |
| 8 | Family responsibilities | 1981 |
| 9 | I got married | 396 |
| 95 | CN,CZ,EE,ES,PH:Other;NZ:Inc.moved away;TW:Inc.health factors | 324 |
| 0 | Not applicable (code 2,0 in v61) | 34924 |
| 98 | Don't know | 10 |
| 99 | No answer, refused;IS: NA, ref. incl. other | 1260 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 15474 | 36194 | 1 | 95 |
Valid range from 1 to 95
v66 Q36 Not working: like to have a paid job now or in future
| Value 72371 | Frequency | |
|---|---|---|
| 1 | Yes | 10269 |
| 2 | No | 12110 |
| 0 | Not applicable (code 1 in v20) | 28273 |
| 8 | Don't know | 8 |
| 9 | No answer, refused | 1008 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 22379 | 29289 | 1 | 2 |
Valid range from 1 to 2
v67 Q37 Not working: how likely to find a job
| Value 73370 | Frequency | |
|---|---|---|
| 1 | Very likely | 2096 |
| 2 | Likely | 3675 |
| 3 | Unlikely | 2339 |
| 4 | Very unlikely | 1619 |
| 0 | Not applicable (code 2,0 in v66) | 40383 |
| 8 | Can't choose | 552 |
| 9 | No answer, refused | 1004 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 9729 | 41939 | 1 | 4 |
Valid range from 1 to 4
v68 Q38 Not working: worry about possibility not finding a job
| Value 74369 | Frequency | |
|---|---|---|
| 1 | I worry a great deal | 3198 |
| 2 | I worry to some extent | 2515 |
| 3 | I worry a little | 2244 |
| 4 | I don't worry at all | 2243 |
| 0 | Not applicable (code 2,0 in v66) | 40383 |
| 8 | Don't know | 33 |
| 9 | No answer, refused | 1052 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 10200 | 41468 | 1 | 4 |
Valid range from 1 to 4
v69 Q39a In order to get a job: accept job that requires new skills
| Value 75368 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 3382 |
| 2 | Agree | 4810 |
| 3 | Neither agree nor disagree | 863 |
| 4 | Disagree | 686 |
| 5 | Strongly disagree | 213 |
| 0 | Not applicable (code 2,0 in v66) | 40382 |
| 8 | Can't choose | 284 |
| 9 | No answer, refused | 1048 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 9954 | 41714 | 1 | 5 |
Valid range from 1 to 5
v70 Q39b In order to get a job: accept position with low pay
| Value 76367 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 921 |
| 2 | Agree | 3109 |
| 3 | Neither agree nor disagree | 1957 |
| 4 | Disagree | 2743 |
| 5 | Strongly disagree | 1168 |
| 0 | Not applicable (code 2,0 in v66) | 40382 |
| 8 | Can't choose | 319 |
| 9 | No answer, refused | 1069 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 9898 | 41770 | 1 | 5 |
Valid range from 1 to 5
v71 Q39c In order to get a job: accept temporary employment
| Value 77366 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 1929 |
| 2 | Agree | 5358 |
| 3 | Neither agree nor disagree | 1202 |
| 4 | Disagree | 1048 |
| 5 | Strongly disagree | 437 |
| 0 | Not applicable (code 2,0 in v66) | 40382 |
| 8 | Can't choose | 259 |
| 9 | No answer, refused | 1053 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 9974 | 41694 | 1 | 5 |
Valid range from 1 to 5
v72 Q39d In order to get a job: travel a long time to get to work
| Value 78365 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 912 |
| 2 | Agree | 2867 |
| 3 | Neither agree nor disagree | 1669 |
| 4 | Disagree | 2926 |
| 5 | Strongly disagree | 1532 |
| 0 | Not applicable (code 2,0 in v66) | 40382 |
| 8 | Can't choose | 296 |
| 9 | No answer, refused | 1084 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 9906 | 41762 | 1 | 5 |
Valid range from 1 to 5
v73 Q39e In order to get a job: move within [country]
| Value 79364 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 903 |
| 2 | Agree | 2448 |
| 3 | Neither agree nor disagree | 1114 |
| 4 | Disagree | 2794 |
| 5 | Strongly disagree | 2581 |
| 0 | Not applicable (code 2,0 in v66) | 40382 |
| 8 | Can't choose | 373 |
| 9 | No answer, refused | 1073 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 9840 | 41828 | 1 | 5 |
Valid range from 1 to 5
v74 Q39f In order to get a job: move to a different country
| Value 80363 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 973 |
| 2 | Agree | 1685 |
| 3 | Neither agree nor disagree | 967 |
| 4 | Disagree | 2713 |
| 5 | Strongly disagree | 3478 |
| 0 | Not applicable (code 2,0 in v66) | 40382 |
| 8 | Can't choose | 399 |
| 9 | No answer, refused | 1071 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 9816 | 41852 | 1 | 5 |
Valid range from 1 to 5
v75 Q40a Not working: registered at a public agency
| Value 81362 | Frequency | |
|---|---|---|
| 1 | No | 7756 |
| 2 | Yes, once or twice | 1700 |
| 3 | Yes, more than twice | 688 |
| 0 | Not applicable (code 2,0 in v66) | 40383 |
| 8 | Don't know | 14 |
| 9 | No answer, refused | 1127 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 10144 | 41524 | 1 | 3 |
Valid range from 1 to 3
v76 Q40b Not working: registered at a private agency
| Value 82361 | Frequency | |
|---|---|---|
| 1 | No | 8840 |
| 2 | Yes, once or twice | 838 |
| 3 | Yes, more than twice | 441 |
| 0 | Not applicable (code 2,0 in v66) | 40383 |
| 8 | Don't know | 13 |
| 9 | No answer, refused | 1153 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 10119 | 41549 | 1 | 3 |
Valid range from 1 to 3
v77 Q40c Not working: answered job advertisement
| Value 83360 | Frequency | |
|---|---|---|
| 1 | No | 7221 |
| 2 | Yes, once or twice | 1617 |
| 3 | Yes, more than twice | 1294 |
| 0 | Not applicable (code 2,0 in v66) | 40383 |
| 8 | Don't know | 14 |
| 9 | No answer, refused | 1139 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 10132 | 41536 | 1 | 3 |
Valid range from 1 to 3
v78 Q40d Not working: advertised on the internet or in newspapers
| Value 84359 | Frequency | |
|---|---|---|
| 1 | No | 8632 |
| 2 | Yes, once or twice | 959 |
| 3 | Yes, more than twice | 534 |
| 0 | Not applicable (code 2,0 in v66) | 40383 |
| 8 | Don't know | 14 |
| 9 | No answer, refused | 1146 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 10125 | 41543 | 1 | 3 |
Valid range from 1 to 3
v79 Q40e Not working: applied directly to employers
| Value 85358 | Frequency | |
|---|---|---|
| 1 | No | 6497 |
| 2 | Yes, once or twice | 2102 |
| 3 | Yes, more than twice | 1528 |
| 0 | Not applicable (code 2,0 in v66) | 40383 |
| 8 | Don't know | 13 |
| 9 | No answer, refused | 1145 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 10127 | 41541 | 1 | 3 |
Valid range from 1 to 3
v80 Q40f Not working: asked relatives, friends
| Value 86357 | Frequency | |
|---|---|---|
| 1 | No | 5815 |
| 2 | Yes, once or twice | 2389 |
| 3 | Yes, more than twice | 1951 |
| 0 | Not applicable (code 2,0 in v66) | 40383 |
| 8 | Don't know | 14 |
| 9 | No answer, refused | 1116 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 10155 | 41513 | 1 | 3 |
Valid range from 1 to 3
v81 Q41 Not working: past 12 months training to improve job skills
| Value 87356 | Frequency | |
|---|---|---|
| 1 | Yes | 1914 |
| 2 | No | 8165 |
| 0 | Not applicable (code 2,0 in v66) | 40383 |
| 8 | Can't choose | 196 |
| 9 | No answer, refused | 1010 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 10079 | 41589 | 1 | 2 |
Valid range from 1 to 2
v82 Q42 Not working: Resp currently looking for a job
| Value 88355 | Frequency | |
|---|---|---|
| 1 | Yes | 4620 |
| 2 | No | 5647 |
| 0 | Not applicable (code 2,0 in v66) | 40383 |
| 8 | Don't know | 13 |
| 9 | No answer, refused | 1005 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 10267 | 41401 | 1 | 2 |
Valid range from 1 to 2
v83 Q43 Not working: main source of economic support
| Value 89354 | Frequency | |
|---|---|---|
| 1 | Current spouse/ partner | 4073 |
| 2 | Other family members | 3873 |
| 3 | Pension (private/ state) | 9610 |
| 4 | Unemployment benefits | 627 |
| 5 | Social assistance/ welfare | 1495 |
| 6 | Occasional work | 555 |
| 7 | Student loans/ stipends | 292 |
| 8 | Savings | 517 |
| 9 | Investments or rental income | 241 |
| 95 | Other | 889 |
| 0 | Not applicable (code 1 in v20) | 28307 |
| 98 | Don't know | 2 |
| 99 | No answer, refused; VE: incl. other | 1187 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 22172 | 29496 | 1 | 95 |
Valid range from 1 to 95
v84 Q44 Not working: worry about losing main economic support
| Value 90353 | Frequency | |
|---|---|---|
| 1 | I worry a great deal | 7308 |
| 2 | I worry to some extent | 4054 |
| 3 | I worry a little | 4141 |
| 4 | I don't worry at all | 6742 |
| 0 | Not applicable (code 1 in v20) | 28342 |
| 8 | Don't know | 63 |
| 9 | No answer, refused | 1018 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 22245 | 29423 | 1 | 4 |
Valid range from 1 to 4
v85 Q45 Age of youngest child in household
| Value 91352 | Frequency | |
|---|---|---|
| 0 | Less than one year | 1017 |
| 1 | 1;partially:0-1;AT:0-2 | 1858 |
| 4 | 4;AT:3-5 | 1194 |
| 12 | 12;AT:6-17 | 916 |
| 67 | 67 years | 0 |
| 90 | Not available (DK,NZ,VE) | 3046 |
| 97 | Does not apply/ no children in household | 27133 |
| 99 | No answer, refused | 2053 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 19436 | 32232 | 0 | 65 |
Valid range from 0 to 67
v86 O1 Ever worked for pay in past five years
| Value 92351 | Frequency | |
|---|---|---|
| 1 | Yes | 4045 |
| 2 | No | 7387 |
| 0 | NAP(c.1 in v20);NAV(CN,CZ,DK,ES,FI,FR,GB,JP,MX,NO,SI,SE,SK,S | 39972 |
| 8 | Don't know | 3 |
| 9 | No answer, refused | 261 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 11432 | 40236 | 1 | 2 |
Valid range from 1 to 2
v87 O2a Past five years: unemployed longer than three months
| Value 93350 | Frequency | |
|---|---|---|
| 1 | No | 13055 |
| 2 | Yes, once | 3026 |
| 3 | Yes, twice | 771 |
| 4 | Yes, three times | 268 |
| 5 | Yes, more than three times | 684 |
| 0 | NAP(c.2 in v86);NAV(CN,CZ,DK,ES,FR,GB,JP,MX,NO,SE,SI,SK,SR,T | 32799 |
| 8 | Can't choose | 410 |
| 9 | No answer, refused | 655 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 17804 | 33864 | 1 | 5 |
Valid range from 1 to 5
v88 O2b Past five years: changed my employer
| Value 94349 | Frequency | |
|---|---|---|
| 1 | No | 11576 |
| 2 | Yes, once | 3731 |
| 3 | Yes, twice | 1415 |
| 4 | Yes, three times | 551 |
| 5 | Yes, more than three times | 555 |
| 0 | NAP(c.2 in v86);NAV(CN,CZ,DK,ES,FR,GB,JP,MX,NO,SE,SI,SK,SR,T | 32799 |
| 8 | Can't choose | 364 |
| 9 | No answer, refused | 677 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 17828 | 33840 | 1 | 5 |
Valid range from 1 to 5
v89 O2c Past five years: changed my occupation
| Value 95348 | Frequency | |
|---|---|---|
| 1 | No | 13259 |
| 2 | Yes, once | 3175 |
| 3 | Yes, twice | 832 |
| 4 | Yes, three times | 288 |
| 5 | Yes, more than three times | 268 |
| 0 | NAP(c.2 in v86);NAV(CN,CZ,DK,ES,FR,GB,JP,MX,NO,SE,SI,SK,SR,T | 32799 |
| 8 | Can't choose | 345 |
| 9 | No answer, refused | 702 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 17822 | 33846 | 1 | 5 |
Valid range from 1 to 5
v90 O2d Past five years: started own business/ self-employed
| Value 96347 | Frequency | |
|---|---|---|
| 1 | No | 15804 |
| 2 | Yes, once | 1725 |
| 3 | Yes, twice | 155 |
| 4 | Yes, three times | 47 |
| 5 | Yes, more than three times | 96 |
| 0 | NAP(c.2 in v86);NAV(CN,CZ,DK,ES,FR,GB,JP,MX,NO,SE,SI,SK,SR,T | 32799 |
| 8 | Can't choose | 337 |
| 9 | No answer, refused | 705 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 17827 | 33841 | 1 | 5 |
Valid range from 1 to 5
v91 O2e Past five years: took up additional job
| Value 97346 | Frequency | |
|---|---|---|
| 1 | No | 14564 |
| 2 | Yes, once | 2020 |
| 3 | Yes, twice | 495 |
| 4 | Yes, three times | 179 |
| 5 | Yes, more than three times | 496 |
| 0 | NAP(c.2 in v86);NAV(CN,CZ,DK,ES,FR,GB,JP,MX,NO,SE,SI,SK,SR,T | 32799 |
| 8 | Can't choose | 369 |
| 9 | No answer, refused | 746 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 17754 | 33914 | 1 | 5 |
Valid range from 1 to 5
v92 O3 Self-assessed current financial situation
| Value 98345 | Frequency | |
|---|---|---|
| 1 | Very good | 1273 |
| 2 | Good | 6578 |
| 3 | Neither good nor bad | 9865 |
| 4 | Bad | 3155 |
| 5 | Very bad | 1034 |
| 0 | NAV(AT,CN,CZ,DE,DK,ES,FI,FR,GB,JP,MX,NO,SE,SI,SK,SR,TW,US,VE | 29303 |
| 8 | Can't choose | 291 |
| 9 | No answer, refused | 169 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 21905 | 29763 | 1 | 5 |
Valid range from 1 to 5
v93 O4 Change of financial situation compared to past five years
| Value 99344 | Frequency | |
|---|---|---|
| 1 | Much better than five years ago | 2349 |
| 2 | Somewhat better than five years ago | 4973 |
| 3 | The same as five years ago | 6714 |
| 4 | Somewhat worse than five years ago | 4145 |
| 5 | Much worse than five years ago | 1888 |
| 0 | NAV(AT,BE,CN,CZ,DE,DK,ES,FI,FR,GB,HU,MX,NO,SE,SI,SK,SR,TW,US | 30874 |
| 8 | Can't choose | 595 |
| 9 | No answer, refused | 130 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 20069 | 31599 | 1 | 5 |
Valid range from 1 to 5
v94 O5 Change of financial situation compared to future five years
| Value 100343 | Frequency | |
|---|---|---|
| 1 | Much better than today | 2835 |
| 2 | Somewhat better than today | 5095 |
| 3 | The same as today | 6020 |
| 4 | Somewhat worse than today | 2167 |
| 5 | Much worse than today | 872 |
| 0 | NAV(AT,BE,CN,CZ,DE,DK,ES,FI,FR,GB,HU,MX,NO,SE,SI,SK,SR,TW,US | 30874 |
| 8 | Can't choose | 3655 |
| 9 | No answer, refused | 150 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 16989 | 34679 | 1 | 5 |
Valid range from 1 to 5
v95 O6a Senior citizens' work: good for country
| Value 101342 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 4504 |
| 2 | Agree | 9093 |
| 3 | Neither agree nor disagree | 4574 |
| 4 | Disagree | 4757 |
| 5 | Strongly disagree | 1972 |
| 0 | NAV(BE,CN,CZ,DK,ES,FR,GB,IL,MX,NO,SE,SI,SK,SR,US,VE,ZA) | 25197 |
| 8 | Can't choose | 1343 |
| 9 | No answer, refused | 228 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 24900 | 26768 | 1 | 5 |
Valid range from 1 to 5
v96 O6b Senior citizens' work: take jobs away from younger people
| Value 102341 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 3037 |
| 2 | Agree | 5385 |
| 3 | Neither agree nor disagree | 4715 |
| 4 | Disagree | 7900 |
| 5 | Strongly disagree | 3984 |
| 0 | NAV(BE,CN,CZ,DK,ES,FR,GB,IL,MX,NO,SE,SI,SK,SR,US,VE,ZA) | 25197 |
| 8 | Can't choose | 1190 |
| 9 | No answer, refused | 260 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 25021 | 26647 | 1 | 5 |
Valid range from 1 to 5
v97 O7 Subjective health
| Value 103340 | Frequency | |
|---|---|---|
| 1 | Excellent; HU: Very good | 3295 |
| 2 | Very good; HU: Good | 7082 |
| 3 | Good; HU: Satisfactory | 10531 |
| 4 | Fair; HU: Poor | 6961 |
| 5 | Poor; HU: Very poor | 2456 |
| 0 | NAV(DK,ES,FI,GB,GE,MX,NO,NZ,SE,SI,SK,SR,US,VE,ZA) | 20945 |
| 8 | Can't choose | 215 |
| 9 | No answer, refused | 183 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 30325 | 21343 | 1 | 5 |
Valid range from 1 to 5
SEX Sex of Respondent
| Value 104339 | Frequency | |
|---|---|---|
| 1 | Male | 23540 |
| 2 | Female | 27983 |
| 9 | No answer | 145 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51523 | 145 | 1 | 2 |
Valid range from 1 to 2
BIRTH Year of birth
| Value 105338 | Frequency | |
|---|---|---|
| 1913 | 1913 | 1 |
| 1918 | 1918;GB: 1918 or earlier | 3 |
| 2000 | 2000 | 24 |
| 0 | Not available (DK) | 1138 |
| 9999 | No answer | 374 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50156 | 1512 | 1913 | 2000 |
Valid range from 1913 to 2000
AGE Age of respondent
| Value 106337 | Frequency | |
|---|---|---|
| 15 | 15 years | 20 |
| 97 | 97;GB: 97 years or older | 3 |
| 102 | 102 years | 1 |
| 0 | NAV (DK: answer categories differ from ISSP standard) | 1138 |
| 999 | No answer | 203 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50327 | 1341 | 15 | 102 |
Valid range from 15 to 102
DK_AGE Age of respondent (Denmark)
| Value 107336 | Frequency | |
|---|---|---|
| 22 | 18-25 years | 147 |
| 31 | 26-35 years | 178 |
| 41 | 36-45 years | 166 |
| 51 | 46-55 years | 223 |
| 61 | 56-65 years | 226 |
| 70 | Above 65 years | 198 |
| 0 | NAP, other countries | 50530 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1138 | 50530 | 22 | 70 |
Valid range from 22 to 70
EDUCYRS Education I: years of schooling
| Value 108335 | Frequency | |
|---|---|---|
| 0 | No formal schooling, no years at school | 974 |
| 1 | 1 year | 117 |
| 8 | 8;NZ: Less than 10 years | 2255 |
| 18 | 18;CN:18 years or more | 1724 |
| 65 | 65 years | 1 |
| 95 | GB: Still at school | 3 |
| 96 | GB: Still at college/ university | 36 |
| 98 | Don't know | 280 |
| 99 | No answer | 1116 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50272 | 1396 | 0 | 96 |
Valid range from 0 to 96
AT_DEGR Country specific highest completed degree of education: Austria
| Value 109334 | Frequency | |
|---|---|---|
| 2 | Primary completed, Hauptschule | 121 |
| 3 | Apprenticeship completed | 441 |
| 4 | Middle school, vocational | 118 |
| 5 | Secondary completed, Matura | 47 |
| 6 | Higher professional school, BHS | 90 |
| 7 | Bachelor degree | 56 |
| 8 | Master degree, Dr., Ph.D. | 91 |
| 0 | NAP, other countries | 50667 |
| 99 | No answer | 37 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 964 | 50704 | 2 | 8 |
Valid range from 2 to 8
AU_DEGR Country specific highest completed degree of education: Australia
| Value 110333 | Frequency | |
|---|---|---|
| 1 | Did not complete High School to Year 10 | 34 |
| 2 | Completed High School to Year 10 | 196 |
| 3 | Completed High School to Year 12 | 110 |
| 4 | Trade qualification or apprenticeship | 0 |
| 5 | Certificate or Diploma (TAFE or business college) | 381 |
| 6 | Bachelor Degree (including Honors) | 226 |
| 7 | Postgraduate Degree or Postgraduate Diploma | 218 |
| 0 | NAP, other countries | 50457 |
| 99 | No answer | 46 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1165 | 50503 | 1 | 7 |
Valid range from 1 to 7
BE_DEGR Country specific highest completed degree of education: Belgium
| Value 111332 | Frequency | |
|---|---|---|
| 1 | None | 45 |
| 2 | Primary Education | 109 |
| 3 | Lower general secondary | 178 |
| 4 | Lower technical art secondary | 93 |
| 5 | Lower vocational secondary | 94 |
| 6 | Higher general secondary | 233 |
| 7 | Higher technical art secondary | 201 |
| 8 | Higher vocational secondary | 109 |
| 9 | 7th year vocational secondary education | 54 |
| 10 | 7th year general technical art secondary education | 25 |
| 11 | Higher vocational education | 43 |
| 12 | Professional bachelor non-university, bachelor university | 508 |
| 13 | University (master, licentiate, engineer, doctor) | 428 |
| 0 | NAP, other countries | 49527 |
| 99 | No answer | 21 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2120 | 49548 | 1 | 13 |
Valid range from 1 to 13
CH_DEGR Country specific highest completed degree of education: Switzerland
| Value 112331 | Frequency | |
|---|---|---|
| 1 | Incomplete primary education | 4 |
| 2 | Primary school (4 to 6 years of schooling) | 25 |
| 3 | Secondary education (first stage-incl primary with 8,9 y) | 121 |
| 4 | Additional year of secondary education, prep for voc trainin | 33 |
| 5 | Elementary vocational training (enterprise and school, 1-2 y | 49 |
| 6 | Apprenticeship (vocational training, dual system, 3-4 years) | 412 |
| 7 | General training school (2-3 years) | 38 |
| 8 | Vocational baccalaureate | 32 |
| 9 | Diploma for teaching primary school or pre-primary school | 28 |
| 10 | Baccalaureate preparing for university | 41 |
| 11 | Second voc training (or apprenticeship as second education) | 32 |
| 12 | Vocational baccalaureate for adults | 0 |
| 13 | Baccalaureate for adults or apprenticeship after Baccalaurea | 11 |
| 14 | Advanced voc qualification - specialization exam, federal ce | 47 |
| 15 | Higher voc training - diploma of a high school | 64 |
| 16 | Higher voc training - diploma of specific high schools | 52 |
| 17 | Applied science + pedagogical uni - Bachelor | 58 |
| 18 | Applied science + pedagogical uni - Master | 42 |
| 19 | University diploma - intermediary level | 6 |
| 20 | Uni (incl technical) - Bachelor and short degree | 24 |
| 21 | Uni (incl technical) - requiring more than 4 years | 18 |
| 22 | University (including technical) - Master | 70 |
| 23 | Doctoral degree | 25 |
| 0 | NAP, other countries | 50433 |
| 99 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1232 | 50436 | 1 | 23 |
Valid range from 1 to 23
CL_DEGR Country specific highest completed degree of education: Chile
| Value 113330 | Frequency | |
|---|---|---|
| 1 | No formal education | 25 |
| 2 | Incomplete primary | 264 |
| 3 | Complete primary | 159 |
| 4 | Incomplete secondary | 155 |
| 5 | Complete secondary | 400 |
| 6 | Incomplete non-university higher education | 60 |
| 7 | Complete non-university higher education | 124 |
| 8 | Incomplete university | 79 |
| 9 | Complete university | 108 |
| 10 | Master, Ph.D. | 33 |
| 0 | NAP, other countries | 50235 |
| 99 | No answer | 26 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1407 | 50261 | 1 | 10 |
Valid range from 1 to 10
CN_DEGR Country specific highest completed degree of education: China
| Value 114329 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 251 |
| 2 | Private school | 11 |
| 3 | Primary school | 443 |
| 4 | Junior high school | 481 |
| 5 | Professional school | 96 |
| 6 | High school | 221 |
| 7 | College | 123 |
| 8 | University | 147 |
| 9 | Graduate | 15 |
| 10 | Other | 2 |
| 0 | NAP, other countries | 49873 |
| 99 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1790 | 49878 | 1 | 10 |
Valid range from 1 to 10
CZ_DEGR Country specific highest completed degree of education: Czech Republic
| Value 115328 | Frequency | |
|---|---|---|
| 1 | Incomplete primary | 3 |
| 2 | Primary completed | 115 |
| 3 | Lower vocational, no diploma | 356 |
| 4 | General secondary, no diploma | 132 |
| 5 | Vocational with diploma | 110 |
| 6 | Technical secondary | 360 |
| 7 | Academic secondary | 65 |
| 8 | Post secondary | 64 |
| 9 | Tertiary, Bachelor degree | 60 |
| 10 | Tertiary, Master degree | 150 |
| 11 | Post-graduate education | 14 |
| 0 | NAP, other countries | 50233 |
| 99 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1429 | 50239 | 1 | 11 |
Valid range from 1 to 11
DE_DEGR Country specific highest completed degree of education: Germany
| Value 116327 | Frequency | |
|---|---|---|
| 1 | Still at school: < 7 years of schooling | 0 |
| 2 | Still at school: 7 years of schooling and more | 12 |
| 3 | School left without certificate | 13 |
| 4 | Lower secondary (Hauptschule) | 64 |
| 5 | Middle school (mittlere Reife) | 32 |
| 6 | Secondary, technical (Fachhochschulreife) | 15 |
| 7 | Higher secondary (Abitur) | 72 |
| 8 | Vocational training, degree from German dual system | 918 |
| 9 | Vocational training, master craftsmen (Meister) | 129 |
| 10 | University of applied sciences (FH): bachelor | 27 |
| 11 | University: bachelor | 22 |
| 12 | University of applied sciences (FH): master or other degree | 107 |
| 13 | University: master or other degree | 235 |
| 14 | University: doctorate | 34 |
| 95 | Other qualification | 6 |
| 0 | NAP, other countries | 49981 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1686 | 49982 | 2 | 95 |
Valid range from 1 to 95
DK_DEGR Country specific highest completed degree of education: Denmark
| Value 117326 | Frequency | |
|---|---|---|
| 1 | 7 years primary school or shorter | 20 |
| 2 | 8 years primary school | 1 |
| 3 | 9 years primary school | 24 |
| 4 | Secondary, 10 years or similar | 27 |
| 5 | Gymnasium, general | 40 |
| 6 | Gymnasium, technical | 20 |
| 7 | Other school education | 11 |
| 8 | Basic vocational and apprenticeship | 160 |
| 9 | Other completed vocational education | 48 |
| 10 | Short advanced education, less than 3 years | 114 |
| 11 | Middle range advanced, 3-4 years | 314 |
| 12 | Further advanced, more than 4 years | 189 |
| 13 | Other vocational education | 88 |
| 96 | No formal qualification | 0 |
| 0 | NAP, other countries | 50530 |
| 99 | No answer | 82 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1056 | 50612 | 1 | 13 |
Valid range from 1 to 96
EE_DEGR Country specific highest completed degree of education: Estonia
| Value 118325 | Frequency | |
|---|---|---|
| 1 | No primary education | 0 |
| 2 | Primary education | 27 |
| 3 | Vocational education without basic education | 6 |
| 4 | Basic education | 159 |
| 5 | Vocational education after basic education, without secondar | 52 |
| 6 | Vocational education after basic education, with secondary e | 66 |
| 7 | Specialized secondary education after basic education | 76 |
| 8 | General secondary education | 235 |
| 9 | Vocational education after secondary education | 112 |
| 10 | Specialized secondary education after secondary education | 158 |
| 11 | Higher education diploma (all institutions of higher educati | 150 |
| 12 | Applied higher education | 54 |
| 13 | Bachelor’s degree | 54 |
| 14 | Master’s degree | 53 |
| 15 | PhD | 5 |
| 0 | NAP, other countries | 50461 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1207 | 50461 | 2 | 15 |
Valid range from 1 to 15
ES_DEGR Country specific highest completed degree of education: Spain
| Value 119324 | Frequency | |
|---|---|---|
| 1 | No schooling (never gone to school) | 62 |
| 2 | Less than five years of formal education (uncompleted primar | 124 |
| 3 | Primary education (old system, Primary studies certificate) | 221 |
| 4 | 5th grade of EGB (primary education) | 34 |
| 5 | Primary education (LOGSE) | 52 |
| 6 | Elementary education in dancing and music | 0 |
| 7 | Elementary secondary education 'Bachillerato' | 63 |
| 8 | EGB (lower secondary education) | 242 |
| 9 | ESO (lower secondary education) | 107 |
| 10 | Upper secondary education (BUP) | 120 |
| 11 | Upper secondary education (PREU, COU) | 45 |
| 12 | Upper secondary education (LOGSE) | 68 |
| 13 | Voc training, elementary (F.P. de iniciaciĂłn) | 8 |
| 14 | Voc training, elementary (PCPI) | 3 |
| 15 | Voc training, elementary (F.P. oficialĂa) | 3 |
| 16 | Voc training, elementary (F.P. de 1er grado (FP1)) | 101 |
| 17 | Voc training, intermediate level | 46 |
| 18 | Voc training in arts and design, intermediate level | 3 |
| 19 | Voc training in dancing and music, intermediate level | 1 |
| 20 | Voc training, upper intermediate (F.P. maestrĂa) | 6 |
| 21 | Voc training, upper intermediate (FPII) | 105 |
| 22 | Voc training, upper level | 50 |
| 23 | Voc training (arts school), upper level | 3 |
| 24 | 3 years higher education (old system) to nurse/teacher/ soci | 9 |
| 25 | Graduate degree | 137 |
| 26 | Bachelor degree (old system), Masters degree | 200 |
| 27 | Ph.D | 16 |
| 0 | NAP, other countries | 49834 |
| 99 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1829 | 49839 | 1 | 27 |
Valid range from 1 to 27
FI_DEGR Country specific highest completed degree of education: Finland
| Value 120323 | Frequency | |
|---|---|---|
| 1 | Still in primary or lower secondary education | 12 |
| 2 | Primary education | 94 |
| 3 | Lower secondary education | 107 |
| 4 | Vocational school or course | 298 |
| 5 | General upper secondary education | 101 |
| 6 | College-level vocational education | 234 |
| 7 | Polytechnic, university of applied sciences | 154 |
| 8 | University, lower academic degree | 58 |
| 9 | University, higher academic degree | 143 |
| 0 | NAP, other countries | 50465 |
| 99 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1201 | 50467 | 1 | 9 |
Valid range from 1 to 9
FR_DEGR Country specific highest completed degree of education: France
| Value 121322 | Frequency | |
|---|---|---|
| 1 | None | 21 |
| 2 | Primary | 67 |
| 3 | General secondary level 1 | 64 |
| 4 | Vocational secondary level 1 without diploma | 67 |
| 5 | Vocational secondary level 1 with diploma | 233 |
| 6 | Vocational secondary level 2 | 64 |
| 7 | Incomplete general secondary level 2 | 81 |
| 8 | General secondary level 2 | 85 |
| 9 | Technological education after high school final exam | 132 |
| 10 | College | 173 |
| 11 | University | 223 |
| 0 | NAP, other countries | 50444 |
| 99 | No answer | 14 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1210 | 50458 | 1 | 11 |
Valid range from 1 to 11
GB_DEGR Country specific highest completed degree of education: Great Britain (GB-GBN)
| Value 122321 | Frequency | |
|---|---|---|
| 1 | No secondary qualifications | 334 |
| 2 | CSE, GCSE or equivalent | 134 |
| 3 | O-level or equivalent | 328 |
| 4 | A-level or equivalent | 317 |
| 5 | Higher below degree level | 215 |
| 6 | Degree, University or CNAA or Diploma | 415 |
| 7 | Foreign or other | 49 |
| 0 | NAP, other countries | 49875 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1792 | 49876 | 1 | 7 |
Valid range from 1 to 7
GE_DEGR Country specific highest completed degree of education: Georgia
| Value 123320 | Frequency | |
|---|---|---|
| 1 | Without 8 or 9 years school completion certificate | 35 |
| 2 | 8 or 9 years school graduation certificate | 81 |
| 3 | Secondary school certificate (11 or 12 years) | 385 |
| 4 | Diploma of vocational education | 444 |
| 5 | Bachelor's degree or 5-years diploma | 179 |
| 6 | Master's degree | 355 |
| 7 | Higher than master's degree | 6 |
| 8 | Student | 2 |
| 0 | NAP, other countries | 50181 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1487 | 50181 | 1 | 8 |
Valid range from 1 to 8
HR_DEGR Country specific highest completed degree of education: Croatia
| Value 124319 | Frequency | |
|---|---|---|
| 1 | Primary school not completed | 15 |
| 2 | Primary school completed | 108 |
| 3 | Three years vocational school completed | 208 |
| 4 | Four years vocational school completed | 10 |
| 5 | General secondary school (gymnasium) completed | 417 |
| 6 | Completed higher school, post secondary degree, college | 102 |
| 7 | University degree completed, university studies | 140 |
| 0 | NAP, other countries | 50668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1000 | 50668 | 1 | 7 |
Valid range from 1 to 7
HU_DEGR Country specific highest completed degree of education: Hungary
| Value 125318 | Frequency | |
|---|---|---|
| 1 | Less than 8th grade | 31 |
| 2 | 8th grade | 179 |
| 3 | Trade school, vocational training without high-school leavin | 297 |
| 4 | Vocational school with leaving exam; vocational training fol | 152 |
| 5 | Grammar school, high-school diploma | 156 |
| 6 | Vocational training following high-school leaving exam, not | 41 |
| 7 | Accredited higher education professional training; tertiary | 22 |
| 8 | College | 101 |
| 9 | University | 24 |
| 0 | NAP, other countries | 50665 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 50665 | 1 | 9 |
Valid range from 1 to 9
IL_DEGR Country specific highest completed degree of education: Israel
| Value 126317 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 21 |
| 2 | Lowest formal qualification | 86 |
| 3 | Incomplete vocational qualification | 38 |
| 4 | Vocational completed without matriculation | 81 |
| 5 | Vocational completed with matriculation | 41 |
| 6 | Incomplete academic secondary | 37 |
| 7 | Full general without matriculation | 108 |
| 8 | Academic secondary completed | 164 |
| 9 | Yeshiva without matriculation | 19 |
| 10 | Yeshiva with matriculation | 27 |
| 11 | Semi higher, post secondary | 170 |
| 12 | Incomplete university | 52 |
| 13 | University completed, BA | 246 |
| 14 | University completed, MA or more | 143 |
| 0 | NAP, other countries | 50420 |
| 99 | No answer | 15 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1233 | 50435 | 1 | 14 |
Valid range from 1 to 14
IN_DEGR Country specific highest completed degree of education: India
| Value 127316 | Frequency | |
|---|---|---|
| 1 | Illiterate | 185 |
| 2 | Non formal education (can read and write) | 62 |
| 3 | Up to Primary Level | 65 |
| 4 | Complete Primary | 192 |
| 5 | Up to High School | 449 |
| 6 | Higher secondary | 153 |
| 7 | Up to Graduate | 172 |
| 8 | Post Graduate | 49 |
| 9 | Professional | 9 |
| 0 | NAP, other countries | 50332 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1336 | 50332 | 1 | 9 |
Valid range from 1 to 9
IS_DEGR Country specific highest completed degree of education: Iceland
| Value 128315 | Frequency | |
|---|---|---|
| 1 | Primary school not finished | 1 |
| 2 | Primary school (until around 12 years old) | 8 |
| 3 | Primary school (until around 14 years old) | 30 |
| 4 | Compulsory school, secondary school exams, the nationally co | 121 |
| 5 | Short vocational training on secondary school level (e.g. ho | 80 |
| 6 | Secondary education (gymnasium), exam from the university br | 131 |
| 7 | Apprenticeship - upper secondary (vocational training) | 98 |
| 8 | Longer vocational training on secondary school level (e.g. n | 57 |
| 9 | Vocational training on completion of secondary school level | 32 |
| 10 | Master craftsman - licence to supervise apprentices | 43 |
| 11 | Short, practical training at university level, diploma | 35 |
| 12 | Short vocational training at university level, basic diploma | 25 |
| 13 | Undergraduate degree BA/BS/B.Ed. or additional diploma | 223 |
| 14 | Studies at university longer than 4 years, at an undergradua | 29 |
| 15 | Master's degree MA/MS | 142 |
| 16 | Doctoral degree PhD | 11 |
| 17 | Other, what? | 0 |
| 0 | NAP, other countries | 50542 |
| 97 | Refused | 31 |
| 99 | No answer | 29 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1066 | 50602 | 1 | 16 |
Valid range from 1 to 17
JP_DEGR Country specific highest completed degree of education: Japan
| Value 129314 | Frequency | |
|---|---|---|
| 1 | Junior high school completed | 237 |
| 2 | Still at high school | 49 |
| 3 | High school completed | 626 |
| 4 | Still at junior college or university | 37 |
| 5 | Junior college completed | 244 |
| 6 | Still at graduate school | 5 |
| 7 | Finished university or graduate | 360 |
| 95 | Others | 12 |
| 0 | NAP, other countries | 50095 |
| 99 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1570 | 50098 | 1 | 95 |
Valid range from 1 to 95
LT_DEGR Country specific highest completed degree of education: Lithuania
| Value 130313 | Frequency | |
|---|---|---|
| 1 | Not completed primary | 6 |
| 2 | Primary | 30 |
| 3 | Vocational (without completing basic) | 28 |
| 4 | Basic (including youth schools, night schools) | 59 |
| 5 | Vocational (completing basic) | 61 |
| 6 | Vocational (after completing basic, program < 2 y) | 37 |
| 7 | Vocational (after completing basic, program > 2 y | 48 |
| 8 | Secondary (including gymnasium, lyceums, night schools) | 167 |
| 9 | Vocational together with secondary (after completing basic) | 50 |
| 10 | Vocational (after completing secondary) | 75 |
| 11 | Higher voc or special secondary after completing basic | 76 |
| 12 | Higher voc or special secondary after completing second | 98 |
| 13 | Higher vocational (non-university degree) | 98 |
| 14 | Higher (university degree attained in bachelor studies) | 146 |
| 15 | Higher university degree attained in integrated studies | 75 |
| 16 | Higher (uni degree attained in master or resident studies) | 59 |
| 17 | Doctoral or candidate of sciences degree | 9 |
| 0 | NAP, other countries | 50541 |
| 99 | No answer, other | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1122 | 50546 | 1 | 17 |
Valid range from 1 to 17
LV_DEGR Country specific highest completed degree of education: Latvia
| Value 131312 | Frequency | |
|---|---|---|
| 1 | No formal schooling/ incomplete primary education | 8 |
| 2 | Primary education | 125 |
| 3 | Vocational education after or with primary education | 64 |
| 4 | General secondary | 182 |
| 5 | Vocational secondary or vocational after secondary | 334 |
| 6 | Higher education - Bachelor; profess. higher (college) | 190 |
| 7 | Postgraduate Higher - (profess.) Master, Doctoral degree | 99 |
| 0 | NAP, other countries | 50666 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1002 | 50666 | 1 | 7 |
Valid range from 1 to 7
MX_DEGR Country specific highest completed degree of education: Mexico
| Value 132311 | Frequency | |
|---|---|---|
| 1 | None | 163 |
| 2 | Primary school completed | 211 |
| 3 | Technical training without secondary qualification | 12 |
| 4 | Secondary school completed | 268 |
| 5 | Technical training after secondary qualification | 25 |
| 6 | High school completed | 281 |
| 7 | Technical training after high school qualification | 33 |
| 8 | University completed | 111 |
| 9 | Master, doctorate degree | 29 |
| 0 | NAP, other countries | 50527 |
| 99 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1133 | 50535 | 1 | 9 |
Valid range from 1 to 9
NO_DEGR Country specific highest completed degree of education: Norway
| Value 133310 | Frequency | |
|---|---|---|
| 1 | No formal education completed | 10 |
| 2 | Primary compulsory, lower secondary compulsory | 93 |
| 3 | Lower secondary voluntary, higher secondary incomplete | 261 |
| 4 | Upper secondary, vocational completed | 149 |
| 5 | Upper secondary, general completed | 142 |
| 6 | Technical and training college | 64 |
| 7 | University, College, incomplete, less than 3 years | 212 |
| 8 | University, College, completed, 3-4 years | 373 |
| 9 | University, College, completed, 5 years or more | 232 |
| 0 | NAP, other countries | 50118 |
| 99 | No answer | 14 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1536 | 50132 | 1 | 9 |
Valid range from 1 to 9
NZ_DEGR Country specific highest completed degree of education: New Zealand
| Value 134309 | Frequency | |
|---|---|---|
| 1 | Did not complete High School to Year 11 | 112 |
| 2 | Completed High School to Year 11 | 121 |
| 3 | Completed High School to Year 13 | 38 |
| 4 | Trade qualification or apprenticeship | 126 |
| 5 | Certificate or Diploma (TAFE or business college) | 79 |
| 6 | Bachelor Degree (including Honors) | 102 |
| 7 | Postgraduate Degree or Postgraduate Diploma | 98 |
| 0 | NAP, other countries | 50767 |
| 99 | No answer | 225 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 676 | 50992 | 1 | 7 |
Valid range from 1 to 7
PH_DEGR Country specific highest completed degree of education: Philippines
| Value 135308 | Frequency | |
|---|---|---|
| 1 | No formal education | 14 |
| 2 | Some elementary, incomplete primary | 154 |
| 3 | Completed elementary, primary completed | 140 |
| 4 | Some high school, incomplete secondary | 188 |
| 5 | Completed high school, secondary completed | 318 |
| 6 | Some vocational | 30 |
| 7 | Completed vocational | 45 |
| 8 | Some College | 184 |
| 9 | Completed College | 123 |
| 10 | Post College | 4 |
| 0 | NAP, other countries | 50468 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 50468 | 1 | 10 |
Valid range from 1 to 10
PL_DEGR Country specific highest completed degree of education: Poland
| Value 136307 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 4 |
| 2 | Incomplete elementary | 16 |
| 3 | Completed elementary, primary completed | 344 |
| 4 | Gymnasium | 77 |
| 5 | Basic vocational | 566 |
| 6 | Incomplete secondary | 22 |
| 7 | Secondary general | 187 |
| 8 | Secondary vocational | 409 |
| 9 | Post secondary | 79 |
| 10 | Incomplete higher | 34 |
| 11 | Completed higher at licentiate level | 84 |
| 12 | Completed higher at master level | 272 |
| 13 | Higher with at least PhD | 9 |
| 0 | NAP, other countries | 49556 |
| 99 | No answer | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2103 | 49565 | 1 | 13 |
Valid range from 1 to 13
RU_DEGR Country specific highest completed degree of education: Russia
| Value 137306 | Frequency | |
|---|---|---|
| 1 | Primary school or below | 22 |
| 2 | Intermediate secondary school completed (7-9 years) | 103 |
| 3 | Trade school, intermediate school | 100 |
| 4 | High secondary school completed (10-11 years) | 277 |
| 5 | Trade school, high secondary school completed | 105 |
| 6 | Technical secondary school (college, technikum) | 516 |
| 7 | Higher education incomplete | 54 |
| 8 | Higher education completed, Uni degree completed | 419 |
| 0 | NAP, other countries | 50072 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1596 | 50072 | 1 | 8 |
Valid range from 1 to 8
SE_DEGR Country specific highest completed degree of education: Sweden
| Value 138305 | Frequency | |
|---|---|---|
| 1 | Incomplete primary/comprehensive school | 11 |
| 2 | Primary/comprehensive school pre 1962 (6-8 years) | 64 |
| 3 | Primary/comprehensive school post 1962 (9 years) | 71 |
| 4 | Lower secondary school | 29 |
| 5 | Vocational school 1963-1970 | 20 |
| 6 | Vocational school (2 years) | 150 |
| 7 | 3 or 4 years gymnasium, academic track | 144 |
| 8 | Vocational school post 1992 | 74 |
| 9 | Gymnasium, academic track post 1992 | 36 |
| 10 | University studies without degree | 90 |
| 11 | University degree, less than 3 years | 103 |
| 12 | University degree, 3 years or more | 335 |
| 13 | Doctor's degree | 22 |
| 0 | NAP, other countries | 50506 |
| 99 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1149 | 50519 | 1 | 13 |
Valid range from 1 to 13
SI_DEGR Country specific highest completed degree of education: Slovenia
| Value 139304 | Frequency | |
|---|---|---|
| 1 | Without formal education | 6 |
| 2 | Incomplete primary school | 29 |
| 3 | Primary school completed (primary school certificate) | 157 |
| 4 | Lower high school or vocational school (2 to 3-years) | 219 |
| 5 | High school (technical school, 4-years with leaving exam) | 276 |
| 6 | General high school (gymnasium with leaving exam) | 55 |
| 7 | Higher degree completed, 2-years college | 70 |
| 8 | Completed 3 years college, 1st Bologna degree | 65 |
| 9 | University degree completed (4-6 years program + thesis) | 111 |
| 10 | Specialization (1 year) | 7 |
| 11 | Master degree (also Bologna Master) | 21 |
| 12 | Doctorate degree, PhD | 6 |
| 0 | NAP, other countries | 50645 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1022 | 50646 | 1 | 12 |
Valid range from 1 to 12
SK_DEGR Country specific highest completed degree of education: Slovak Republic
| Value 140303 | Frequency | |
|---|---|---|
| 1 | Incomplete elementary school | 13 |
| 2 | Completed elementary school | 77 |
| 3 | Completed elementary and vocational training | 23 |
| 4 | Vocational training with certificate, apprenticeship | 245 |
| 5 | Vocational school or trade school | 55 |
| 6 | Completed apprenticeship training with maturity level certif | 116 |
| 7 | Completed vocational upper secondary education | 300 |
| 8 | Completed general upper secondary education, grammar school | 59 |
| 9 | Follow-up, post-maturity education | 36 |
| 10 | University, college education, bachelor degree | 33 |
| 11 | University, college completed master or engineering programm | 178 |
| 12 | Postgraduate level or higher education study | 13 |
| 0 | NAP, other countries | 50518 |
| 99 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1148 | 50520 | 1 | 12 |
Valid range from 1 to 12
SR_DEGR Country specific highest completed degree of education: Suriname
| Value 141302 | Frequency | |
|---|---|---|
| 1 | Did not go to school | 87 |
| 2 | Incomplete Primary (BO, GLO) | 203 |
| 3 | 6 yr Primary (GLO) | 321 |
| 4 | Primary + 1 yr Vocational (EBO) | 28 |
| 5 | Primary + 4 yr lower level (LBGO,ULO) | 93 |
| 6 | Primary + 4 yr Vocational (LTO) | 55 |
| 7 | Primary + 4 yr midlevel (MULO) | 131 |
| 8 | MULO + Nurses Training (COVAB) | 13 |
| 9 | MULU-LTO + 4 yr vocational (Natin, AMTO) | 23 |
| 10 | MULO + 4 yrs Teacher Training (Pedag.instellingen) | 45 |
| 11 | MULO + 3 yrs Commercial Training (IMEO) | 27 |
| 12 | Higher Secondary 2 yrs (HAVO) | 23 |
| 13 | Higher Secondary 3 yrs (VWO) | 29 |
| 14 | Tertiary Vocational 2-4 yrs (HBO) | 30 |
| 15 | Tertiary Academic 3 yrs (Universiteit BSC) | 13 |
| 16 | Tertiary Academic 5 yrs (Universiteit MSC) | 8 |
| 0 | NAP, other countries | 50529 |
| 99 | No answer | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1129 | 50539 | 1 | 16 |
Valid range from 1 to 16
TW_DEGR Country specific highest completed degree of education: Taiwan
| Value 142301 | Frequency | |
|---|---|---|
| 1 | None | 153 |
| 2 | Self-study | 13 |
| 3 | Elementary school | 255 |
| 4 | Junior high school | 222 |
| 5 | Vocational junior high school | 1 |
| 6 | Senior high school general | 79 |
| 7 | Senior high school vocational subject | 81 |
| 8 | Vocational senior high school | 356 |
| 9 | Cadet school, senior high level | 6 |
| 10 | 5 years junior college, after junior high | 53 |
| 11 | 2 years junior college after vocational high | 119 |
| 12 | 3 years junior college, after high general | 28 |
| 13 | Military, police junior college, 1 year | 4 |
| 14 | Military, police college, 2 years | 10 |
| 15 | Open junior college | 7 |
| 16 | Open college | 6 |
| 17 | Military, Police college | 12 |
| 18 | Institute of technology | 209 |
| 19 | College (bachelor's degree) | 279 |
| 20 | Graduate school, master degree | 121 |
| 21 | Graduate school, doctorate degree, PhD | 17 |
| 0 | NAP, other countries | 49637 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2031 | 49637 | 1 | 21 |
Valid range from 1 to 21
US_DEGR Country specific highest completed degree of education: United States
| Value 143300 | Frequency | |
|---|---|---|
| 1 | Less than High school | 159 |
| 2 | High school | 771 |
| 3 | Junior college | 103 |
| 4 | Bachelor degree | 273 |
| 5 | Graduate school | 167 |
| 0 | NAP, other countries | 50191 |
| 99 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1473 | 50195 | 1 | 5 |
Valid range from 1 to 5
VE_DEGR Country specific highest completed degree of education: Venezuela
| Value 144299 | Frequency | |
|---|---|---|
| 1 | No read nor write | 6 |
| 2 | Without formal schooling, but could read and write | 8 |
| 3 | Incomplete primary | 44 |
| 4 | Primary completed | 117 |
| 5 | Incomplete secondary | 245 |
| 6 | Secondary completed | 405 |
| 7 | Incomplete technical superior | 0 |
| 8 | Technical superior (advanced) completed | 87 |
| 9 | Incomplete university | 0 |
| 10 | University completed | 81 |
| 11 | Postgraduate | 14 |
| 0 | NAP, other countries | 50661 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1007 | 50661 | 1 | 11 |
Valid range from 1 to 11
ZA_DEGR Country specific highest completed degree of education: South Africa
| Value 145298 | Frequency | |
|---|---|---|
| 1 | No schooling | 120 |
| 2 | Grade R/ Grade 0 | 3 |
| 3 | Grade 1/ Sub A/Class 1 | 22 |
| 4 | Grade 2 / Sub B/Class 2 | 24 |
| 5 | Grade 3/Standard 1/ ABET 1 (Kha Ri Gude, Sanli) | 44 |
| 6 | Grade 4/ Standard 2 | 69 |
| 7 | Grade 5/ Standard 3/ ABET 2 | 70 |
| 8 | Grade 6/Standard 4 | 76 |
| 9 | Grade 7 or Standard 5/ABET 3 | 153 |
| 10 | Grade 8 or Standard 6 or Form 1 | 217 |
| 11 | Grade 9 or Standard 7 or Form 2 | 187 |
| 12 | Grade 10 or Standard 8 or Form 3 | 368 |
| 13 | Grade 11 or Standard 9 or Form 4 | 304 |
| 14 | Grade 12 or Standard 10 or Form 5 or Matriculation | 827 |
| 15 | NTC 1/ N1/NC (V) Level 2 | 25 |
| 16 | NTC 2/ N2/ NC (V) Level 3 | 18 |
| 17 | NTC 3/ N3/NC (V) Level 4 | 32 |
| 18 | N4/ NTC 4 | 8 |
| 19 | N5 / NTC 5 | 10 |
| 20 | N6 NTC 6 | 20 |
| 21 | Diploma | 124 |
| 22 | Advanced diploma (AD) | 29 |
| 23 | Bachelor degree | 78 |
| 24 | Post graduate diploma (PGD) | 19 |
| 25 | Honours degree | 16 |
| 26 | Master degree | 18 |
| 27 | Doctorate degree, Laureatus in Technolgy | 4 |
| 28 | Other (Specify) | 9 |
| 0 | NAP, other countries | 48728 |
| 98 | Don't know | 2 |
| 99 | No answer | 44 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2894 | 48774 | 1 | 28 |
Valid range from 1 to 28
DEGREE Highest completed education level: Categories for international comparison
| Value 146297 | Frequency | |
|---|---|---|
| 0 | No formal education | 3032 |
| 1 | Primary school (elementary education) | 3388 |
| 2 | Lower secondary (secondary completed does not allow entry to | 11421 |
| 3 | Upper secondary (programs that allows entry to university | 12775 |
| 4 | Post secondary, non-tertiary (other upper secondary programs | 6797 |
| 5 | Lower level tertiary, first stage (also technical schools at | 8582 |
| 6 | Upper level tertiary (Master, Doctor) | 4978 |
| 9 | No answer, other | 695 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50973 | 695 | 0 | 6 |
Valid range from 0 to 6
WORK Currently, formerly, or never in paid work
| Value 147296 | Frequency | |
|---|---|---|
| 1 | Currently in paid work | 28313 |
| 2 | Currently not in paid work, paid work in the past | 17904 |
| 3 | Never had paid work | 4875 |
| 9 | No answer | 576 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 51092 | 576 | 1 | 3 |
Valid range from 1 to 3
WRKHRS Hours worked weekly
| Value 148295 | Frequency | |
|---|---|---|
| 1 | One hour | 20 |
| 89 | 89; US: 89 hours or more | 8 |
| 95 | 95; GB: 95 + | 4 |
| 96 | 96 hours and more | 197 |
| 0 | NAP (Code 2 or 3 in WORK;VE: Code 3 in WORK) | 22462 |
| 98 | Don't know | 441 |
| 99 | No answer | 1498 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 27267 | 24401 | 1 | 96 |
Valid range from 1 to 96
EMPREL Employment relationship
| Value 149294 | Frequency | |
|---|---|---|
| 1 | Employee | 37708 |
| 2 | Self-employed without employees | 4148 |
| 3 | Self-employed with employees | 1806 |
| 4 | Working for own family's business | 877 |
| 0 | NAP (Code 3 in WORK) | 4872 |
| 9 | No answer, other | 2257 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44539 | 7129 | 1 | 4 |
Valid range from 1 to 4
NEMPLOY Self-employed: how many employees
| Value 150293 | Frequency | |
|---|---|---|
| 1 | 1 employee | 339 |
| 4 | SR:2-5 employees | 184 |
| 9 | SR: 6-11 employees | 27 |
| 19 | SR: 12-25 employees | 4 |
| 30 | SR: More than 25 employees | 22 |
| 97 | US: 97 or more employees | 2 |
| 500 | 500; GB: 500 + | 2 |
| 4800 | 4800 employees | 1 |
| 9995 | 9995 employees or more | 0 |
| 0 | NAP (Code 1, 2, 4, 0 in EMPREL) | 47605 |
| 9998 | Don't know | 1 |
| 9999 | No answer | 2315 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1747 | 49921 | 1 | 4800 |
Valid range from 1 to 9995
WRKSUP Supervise other employees
| Value 151292 | Frequency | |
|---|---|---|
| 1 | Yes | 10923 |
| 2 | No | 32536 |
| 0 | NAP (Code 3 in WORK; US: 2,3 in WORK) | 5403 |
| 8 | Don't know | 1 |
| 9 | No answer | 2805 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43459 | 8209 | 1 | 2 |
Valid range from 1 to 2
NSUP Number of other employees supervised
| Value 152291 | Frequency | |
|---|---|---|
| 1 | 1 employee | 911 |
| 4 | SR:2-5 employees | 887 |
| 9 | SR: 6-11 employees | 180 |
| 19 | SR: 12-25 employees | 55 |
| 30 | SR: More than 25 employees | 256 |
| 100 | ES: 100 employees or more | 111 |
| 9995 | 9995 employees or more | 7 |
| 0 | NAP (code 2, 0 in WRKSUP); NAV (US) | 38283 |
| 9998 | Don't know | 10 |
| 9999 | No answer | 3210 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 10165 | 41503 | 1 | 9995 |
Valid range from 1 to 9995
TYPORG1 Type of organisation, for-profit/ non-profit
| Value 153290 | Frequency | |
|---|---|---|
| 1 | For-profit organisation | 28589 |
| 2 | Non-profit organisation | 11857 |
| 0 | NAP (Code 3 in WORK);NAV (AT,US) | 7263 |
| 8 | Don't know | 1009 |
| 9 | No answer | 2950 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40446 | 11222 | 1 | 2 |
Valid range from 1 to 2
TYPORG2 Type of organisation, public/ private
| Value 154289 | Frequency | |
|---|---|---|
| 1 | Public employer | 14274 |
| 2 | Private employer | 28770 |
| 0 | NAP (Code 3 in WORK) | 4874 |
| 8 | Don't know | 717 |
| 9 | No answer; EE: Other | 3033 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43044 | 8624 | 1 | 2 |
Valid range from 1 to 2
ISCO08 Occupation ISCO/ ILO 2008
| Value 155288 | Frequency | |
|---|---|---|
| 110 | Commissioned armed forces officers | 77 |
| 210 | Non-commissioned armed forces officers | 45 |
| 310 | Armed forces occupations, other ranks | 77 |
| 1000 | Managers | 29 |
| 1100 | Chief executives, senior officials and legislators | 4 |
| 1110 | Legislators and senior officials | 5 |
| 1111 | Legislators | 15 |
| 1112 | Senior government officials | 86 |
| 1113 | Traditional chiefs and heads of village | 49 |
| 1114 | Senior officials of special-interest organizations | 29 |
| 1120 | Managing directors and chief executives | 283 |
| 1200 | Administrative and commercial managers | 17 |
| 1210 | Business services and administration managers | 15 |
| 1211 | Finance managers | 120 |
| 1212 | Human resource managers | 96 |
| 1213 | Policy and planning managers | 61 |
| 1219 | Business services and administration managers not elsewhere | 198 |
| 1220 | Sales, marketing and development managers | 9 |
| 1221 | Sales and marketing managers | 221 |
| 1222 | Advertising and public relations managers | 30 |
| 1223 | Research and development managers | 50 |
| 1300 | Production and specialised services managers | 53 |
| 1310 | Production managers in agriculture, forestry and fisheries | 4 |
| 1311 | Agricultural and forestry production managers | 44 |
| 1312 | Aquaculture and fisheries production managers | 10 |
| 1320 | Manufacturing, mining, construction, and distribution manage | 29 |
| 1321 | Manufacturing managers | 219 |
| 1322 | Mining managers | 18 |
| 1323 | Construction managers | 117 |
| 1324 | Supply, distribution and related managers | 165 |
| 1330 | Information and communications technology service managers | 108 |
| 1340 | Professional services managers | 33 |
| 1341 | Child care services managers | 47 |
| 1342 | Health services managers | 88 |
| 1343 | Aged care services managers | 16 |
| 1344 | Social welfare managers | 30 |
| 1345 | Education managers | 172 |
| 1346 | Financial and insurance services branch managers | 63 |
| 1349 | Professional services managers not elsewhere classified | 61 |
| 1400 | Hospitality, retail and other services managers | 17 |
| 1410 | Hotel and restaurant managers | 42 |
| 1411 | Hotel managers | 30 |
| 1412 | Restaurant managers | 97 |
| 1420 | Retail and wholesale trade managers | 233 |
| 1430 | Other services managers | 6 |
| 1431 | Sports, recreation and cultural centre managers | 40 |
| 1439 | Services managers not elsewhere classified | 79 |
| 2000 | Professionals | 37 |
| 2100 | Science and engineering professionals | 18 |
| 2110 | Physical and earth science professionals | 8 |
| 2111 | Physicists and astronomers | 13 |
| 2112 | Meteorologists | 7 |
| 2113 | Chemists | 29 |
| 2114 | Geologists and geophysicists | 13 |
| 2120 | Mathematicians, actuaries and statisticians | 22 |
| 2130 | Life science professionals | 8 |
| 2131 | Biologists, botanists, zoologists and related professionals | 47 |
| 2132 | Farming, forestry and fisheries advisers | 55 |
| 2133 | Environmental protection professionals | 25 |
| 2140 | Engineering professionals (excluding electrotechnology) | 35 |
| 2141 | Industrial and production engineers | 85 |
| 2142 | Civil engineers | 94 |
| 2143 | Environmental engineers | 11 |
| 2144 | Mechanical engineers | 99 |
| 2145 | Chemical engineers | 27 |
| 2146 | Mining engineers, metallurgists and related professionals | 13 |
| 2149 | Engineering professionals not elsewhere classified | 98 |
| 2150 | Electrotechnology engineers | 13 |
| 2151 | Electrical engineers | 51 |
| 2152 | Electronics engineers | 42 |
| 2153 | Telecommunications engineers | 19 |
| 2160 | Architects, planners, surveyors and designers | 24 |
| 2161 | Building architects | 75 |
| 2162 | Landscape architects | 6 |
| 2163 | Product and garment designers | 32 |
| 2164 | Town and traffic planners | 16 |
| 2165 | Cartographers and surveyors | 34 |
| 2166 | Graphic and multimedia designers | 62 |
| 2200 | Health professionals | 4 |
| 2210 | Medical doctors | 55 |
| 2211 | Generalist medical practitioners | 95 |
| 2212 | Specialist medical practitioners | 88 |
| 2220 | Nursing and midwifery professionals | 22 |
| 2221 | Nursing professionals | 437 |
| 2222 | Midwifery professionals | 58 |
| 2230 | Traditional and complementary medicine professionals | 19 |
| 2240 | Paramedical practitioners | 16 |
| 2250 | Veterinarians | 28 |
| 2260 | Other health professionals | 11 |
| 2261 | Dentists | 26 |
| 2262 | Pharmacists | 78 |
| 2263 | Environmental and occupational health and hygiene profession | 28 |
| 2264 | Physiotherapists | 87 |
| 2265 | Dieticians and nutritionists | 16 |
| 2266 | Audiologists and speech therapists | 16 |
| 2267 | Optometrists and ophthalmic opticians | 7 |
| 2269 | Health professionals not elsewhere classified | 36 |
| 2300 | Teaching professionals | 162 |
| 2310 | University and higher education teachers | 267 |
| 2320 | Vocational education teachers | 144 |
| 2330 | Secondary education teachers | 565 |
| 2340 | Primary school and early childhood teachers | 95 |
| 2341 | Primary school teachers | 704 |
| 2342 | Early childhood educators | 333 |
| 2350 | Other teaching professionals | 20 |
| 2351 | Education methods specialists | 41 |
| 2352 | Special needs teachers | 91 |
| 2353 | Other language teachers | 55 |
| 2354 | Other music teachers | 36 |
| 2355 | Other arts teachers | 18 |
| 2356 | Information technology trainers | 7 |
| 2359 | Teaching professionals not elsewhere classified | 143 |
| 2400 | Business and administration professionals | 26 |
| 2410 | Finance professionals | 17 |
| 2411 | Accountants | 347 |
| 2412 | Financial and investment advisers | 87 |
| 2413 | Financial analysts | 51 |
| 2420 | Administration professionals | 28 |
| 2421 | Management and organization analysts | 87 |
| 2422 | Policy administration professionals | 82 |
| 2423 | Personnel and careers professionals | 90 |
| 2424 | Training and staff development professionals | 32 |
| 2430 | Sales, marketing and public relations professionals | 11 |
| 2431 | Advertising and marketing professionals | 91 |
| 2432 | Public relations professionals | 31 |
| 2433 | Technical and medical sales professionals (excluding ICT) | 50 |
| 2434 | Information and communications technology sales professional | 21 |
| 2500 | Information and communications technology professionals | 54 |
| 2510 | Software and applications developers and analysts | 11 |
| 2511 | Systems analysts | 69 |
| 2512 | Software developers | 98 |
| 2513 | Web and multimedia developers | 20 |
| 2514 | Applications programmers | 56 |
| 2519 | Software and applications developers and analysts not elsewh | 46 |
| 2520 | Database and network professionals | 7 |
| 2521 | Database designers and administrators | 13 |
| 2522 | Systems administrators | 43 |
| 2523 | Computer network professionals | 10 |
| 2529 | Database and network professionals not elsewhere classified | 12 |
| 2600 | Legal, social and cultural professionals | 0 |
| 2610 | Legal professionals | 14 |
| 2611 | Lawyers | 132 |
| 2612 | Judges | 13 |
| 2619 | Legal professionals not elsewhere classified | 47 |
| 2620 | Librarians, archivists and curators | 9 |
| 2621 | Archivists and curators | 27 |
| 2622 | Librarians and related information professionals | 69 |
| 2630 | Social and religious professionals | 8 |
| 2631 | Economists | 99 |
| 2632 | Sociologists, anthropologists and related professionals | 8 |
| 2633 | Philosophers, historians and political scientists | 12 |
| 2634 | Psychologists | 67 |
| 2635 | Social work and counselling professionals | 187 |
| 2636 | Religious professionals | 35 |
| 2640 | Authors, journalists and linguists | 7 |
| 2641 | Authors and related writers | 26 |
| 2642 | Journalists | 72 |
| 2643 | Translators, interpreters and other linguists | 48 |
| 2650 | Creative and performing artists | 9 |
| 2651 | Visual artists | 34 |
| 2652 | Musicians, singers and composers | 49 |
| 2653 | Dancers and choreographers | 13 |
| 2654 | Film, stage and related directors and producers | 28 |
| 2655 | Actors | 15 |
| 2656 | Announcers on radio, television and other media | 7 |
| 2659 | Creative and performing artists not elsewhere classified | 19 |
| 3000 | Technicians and associate professionals | 22 |
| 3100 | Science and engineering associate professionals | 27 |
| 3110 | Physical and engineering science technicians | 61 |
| 3111 | Chemical and physical science technicians | 35 |
| 3112 | Civil engineering technicians | 103 |
| 3113 | Electrical engineering technicians | 52 |
| 3114 | Electronics engineering technicians | 48 |
| 3115 | Mechanical engineering technicians | 96 |
| 3116 | Chemical engineering technicians | 27 |
| 3117 | Mining and metallurgical technicians | 18 |
| 3118 | Draughtspersons | 49 |
| 3119 | Physical and engineering science technicians not elsewhere c | 115 |
| 3120 | Mining, manufacturing and construction supervisors | 46 |
| 3121 | Mining supervisors | 31 |
| 3122 | Manufacturing supervisors | 294 |
| 3123 | Construction supervisors | 112 |
| 3130 | Process control technicians | 19 |
| 3131 | Power production plant operators | 10 |
| 3132 | Incinerator and water treatment plant operators | 22 |
| 3133 | Chemical processing plant controllers | 3 |
| 3134 | Petroleum and natural gas refining plant operators | 18 |
| 3135 | Metal production process controllers | 10 |
| 3139 | Process control technicians not elsewhere classified | 47 |
| 3140 | Life science technicians and related associate professionals | 4 |
| 3141 | Life science technicians (excluding medical) | 35 |
| 3142 | Agricultural technicians | 21 |
| 3143 | Forestry technicians | 12 |
| 3150 | Ship and aircraft controllers and technicians | 4 |
| 3151 | Ships' engineers | 10 |
| 3152 | Ships' deck officers and pilots | 38 |
| 3153 | Aircraft pilots and related associate professionals | 22 |
| 3154 | Air traffic controllers | 9 |
| 3155 | Air traffic safety electronics technicians | 2 |
| 3200 | Health associate professionals | 2 |
| 3210 | Medical and pharmaceutical technicians | 21 |
| 3211 | Medical imaging and therapeutic equipment technicians | 35 |
| 3212 | Medical and pathology laboratory technicians | 79 |
| 3213 | Pharmaceutical technicians and assistants | 38 |
| 3214 | Medical and dental prosthetic technicians | 32 |
| 3220 | Nursing and midwifery associate professionals | 22 |
| 3221 | Nursing associate professionals | 329 |
| 3222 | Midwifery associate professionals | 10 |
| 3230 | Traditional and complementary medicine associate professiona | 15 |
| 3240 | Veterinary technicians and assistants | 11 |
| 3250 | Other health associate professionals | 24 |
| 3251 | Dental assistants and therapists | 38 |
| 3252 | Medical records and health information technicians | 17 |
| 3253 | Community health workers | 17 |
| 3254 | Dispensing opticians | 17 |
| 3255 | Physiotherapy technicians and assistants | 33 |
| 3256 | Medical assistants | 68 |
| 3257 | Environmental and occupational health inspectors and associa | 31 |
| 3258 | Ambulance workers | 25 |
| 3259 | Health associate professionals not elsewhere classified | 31 |
| 3300 | Business and administration associate professionals | 29 |
| 3310 | Financial and mathematical associate professionals | 32 |
| 3311 | Securities and finance dealers and brokers | 41 |
| 3312 | Credit and loans officers | 92 |
| 3313 | Accounting associate professionals | 328 |
| 3314 | Statistical, mathematical and related associate professional | 8 |
| 3315 | Valuers and loss assessors | 23 |
| 3320 | Sales and purchasing agents and brokers | 80 |
| 3321 | Insurance representatives | 146 |
| 3322 | Commercial sales representatives | 402 |
| 3323 | Buyers | 99 |
| 3324 | Trade brokers | 44 |
| 3330 | Business services agents | 17 |
| 3331 | Clearing and forwarding agents | 25 |
| 3332 | Conference and event planners | 30 |
| 3333 | Employment agents and contractors | 35 |
| 3334 | Real estate agents and property managers | 121 |
| 3339 | Business services agents not elsewhere classified | 94 |
| 3340 | Administrative and specialised secretaries | 32 |
| 3341 | Office supervisors | 387 |
| 3342 | Legal secretaries | 32 |
| 3343 | Administrative and executive secretaries | 307 |
| 3344 | Medical secretaries | 67 |
| 3350 | Regulatory government associate professionals | 31 |
| 3351 | Customs and border inspectors | 22 |
| 3352 | Government tax and excise officials | 29 |
| 3353 | Government social benefits officials | 43 |
| 3354 | Government licensing officials | 16 |
| 3355 | Police inspectors and detectives | 64 |
| 3359 | Regulatory government associate professionals not elsewhere | 65 |
| 3400 | Legal, social, cultural and related associate professionals | 0 |
| 3410 | Legal, social and religious associate professionals | 4 |
| 3411 | Police inspectors and detectives | 55 |
| 3412 | Social work associate professionals | 187 |
| 3413 | Religious associate professionals | 12 |
| 3420 | Sports and fitness workers | 9 |
| 3421 | Athletes and sports players | 6 |
| 3422 | Sports coaches, instructors and officials | 57 |
| 3423 | Fitness and recreation instructors and program leaders | 48 |
| 3430 | Artistic, cultural and culinary associate professionals | 7 |
| 3431 | Photographers | 39 |
| 3432 | Interior designers and decorators | 54 |
| 3433 | Gallery, museum and library technicians | 39 |
| 3434 | Chefs | 62 |
| 3435 | Other artistic and cultural associate professionals | 38 |
| 3500 | Information and communications technicians | 2 |
| 3510 | Information and communications technology operations and use | 22 |
| 3511 | Information and communications technology operations technic | 36 |
| 3512 | Information and communications technology user support techn | 41 |
| 3513 | Computer network and systems technicians | 32 |
| 3514 | Web technicians | 4 |
| 3520 | Telecommunications and broadcasting technicians | 9 |
| 3521 | Broadcasting and audio-visual technicians | 36 |
| 3522 | Telecommunications engineering technicians | 24 |
| 4000 | Clerical support workers | 40 |
| 4100 | General and keyboard clerks | 48 |
| 4110 | General office clerks | 801 |
| 4120 | Secretaries (general) | 366 |
| 4130 | Keyboard operators | 15 |
| 4131 | Typists and word processing operators | 38 |
| 4132 | Data entry clerks | 61 |
| 4200 | Customer services clerks | 12 |
| 4210 | Tellers, money collectors and related clerks | 28 |
| 4211 | Bank tellers and related clerks | 199 |
| 4212 | Bookmakers, croupiers and related gaming workers | 28 |
| 4213 | Pawnbrokers and money-lenders | 8 |
| 4214 | Debt-collectors and related workers | 33 |
| 4220 | Client information workers | 71 |
| 4221 | Travel consultants and clerks | 51 |
| 4222 | Contact centre information clerks | 90 |
| 4223 | Telephone switchboard operators | 46 |
| 4224 | Hotel receptionists | 53 |
| 4225 | Enquiry clerks | 34 |
| 4226 | Receptionists (general) | 155 |
| 4227 | Survey and market research interviewers | 20 |
| 4229 | Client information workers not elsewhere classified | 15 |
| 4300 | Numerical and material recording clerks | 5 |
| 4310 | Numerical clerks | 68 |
| 4311 | Accounting and bookkeeping clerks | 428 |
| 4312 | Statistical, finance and insurance clerks | 86 |
| 4313 | Payroll clerks | 62 |
| 4320 | Material-recording and transport clerks | 21 |
| 4321 | Stock clerks | 285 |
| 4322 | Production clerks | 63 |
| 4323 | Transport clerks | 82 |
| 4400 | Other clerical support workers | 11 |
| 4410 | Other clerical support workers | 38 |
| 4411 | Library clerks | 25 |
| 4412 | Mail carriers and sorting clerks | 132 |
| 4413 | Coding, proof-reading and related clerks | 9 |
| 4414 | Scribes and related workers | 3 |
| 4415 | Filing and copying clerks | 22 |
| 4416 | Personnel clerks | 29 |
| 4419 | Clerical support workers not elsewhere classified | 134 |
| 5000 | Service and sales workers | 10 |
| 5100 | Personal service workers | 9 |
| 5110 | Travel attendants, conductors and guides | 8 |
| 5111 | Travel attendants and travel stewards | 43 |
| 5112 | Transport conductors | 50 |
| 5113 | Travel guides | 36 |
| 5120 | Cooks | 539 |
| 5130 | Waiters and bartenders | 59 |
| 5131 | Waiters | 314 |
| 5132 | Bartenders | 78 |
| 5140 | Hairdressers, beauticians and related workers | 59 |
| 5141 | Hairdressers | 190 |
| 5142 | Beauticians and related workers | 122 |
| 5150 | Building and housekeeping supervisors | 13 |
| 5151 | Cleaning and housekeeping supervisors in offices, hotels and | 86 |
| 5152 | Domestic housekeepers | 54 |
| 5153 | Building caretakers | 159 |
| 5160 | Other personal services workers | 28 |
| 5161 | Astrologers, fortune-tellers and related workers | 6 |
| 5162 | Companions and valets | 14 |
| 5163 | Undertakers and embalmers | 11 |
| 5164 | Pet groomers and animal care workers | 30 |
| 5165 | Driving instructors | 14 |
| 5169 | Personal services workers not elsewhere classified | 41 |
| 5200 | Sales workers | 118 |
| 5210 | Street and market salespersons | 12 |
| 5211 | Stall and market salespersons | 291 |
| 5212 | Street food salespersons | 98 |
| 5220 | Shop salespersons | 307 |
| 5221 | Shop keepers | 328 |
| 5222 | Shop supervisors | 369 |
| 5223 | Shop sales assistants | 1407 |
| 5230 | Cashiers and ticket clerks | 284 |
| 5240 | Other sales workers | 23 |
| 5241 | Fashion and other models | 2 |
| 5242 | Sales demonstrators | 13 |
| 5243 | Door to door salespersons | 24 |
| 5244 | Contact centre salespersons | 28 |
| 5245 | Service station attendants | 42 |
| 5246 | Food service counter attendants | 128 |
| 5249 | Sales workers not elsewhere classified | 78 |
| 5300 | Personal care workers | 10 |
| 5310 | Child care workers and teachers' aides | 17 |
| 5311 | Child care workers | 460 |
| 5312 | Teachers' aides | 84 |
| 5320 | Personal care workers in health services | 111 |
| 5321 | Health care assistants | 401 |
| 5322 | Home-based personal care workers | 327 |
| 5329 | Personal care workers in health services not elsewhere class | 65 |
| 5400 | Protective services workers | 1 |
| 5410 | Protective services workers | 11 |
| 5411 | Fire-fighters | 65 |
| 5412 | Police officers | 171 |
| 5413 | Prison guards | 45 |
| 5414 | Security guards | 386 |
| 5419 | Protective services workers not elsewhere classified | 82 |
| 6000 | Skilled agricultural, forestry and fishery workers | 1 |
| 6100 | Market-oriented skilled agricultural workers | 20 |
| 6110 | Market gardeners and crop growers | 12 |
| 6111 | Field crop and vegetable growers | 330 |
| 6112 | Tree and shrub crop growers | 89 |
| 6113 | Gardeners, horticultural and nursery growers | 142 |
| 6114 | Mixed crop growers | 44 |
| 6120 | Animal producers | 10 |
| 6121 | Livestock and dairy producers | 195 |
| 6122 | Poultry producers | 26 |
| 6123 | Apiarists and sericulturists | 6 |
| 6129 | Animal producers not elsewhere classified | 8 |
| 6130 | Mixed crop and animal producers | 371 |
| 6200 | Market-oriented skilled forestry, fishery and hunting worker | 2 |
| 6210 | Forestry and related workers | 56 |
| 6220 | Fishery workers, hunters and trappers | 4 |
| 6221 | Aquaculture workers | 10 |
| 6222 | Inland and coastal waters fishery workers | 27 |
| 6223 | Deep-sea fishery workers | 12 |
| 6224 | Hunters and trappers | 1 |
| 6300 | Subsistence farmers, fishers, hunters and gatherers | 24 |
| 6310 | Subsistence crop farmers | 40 |
| 6320 | Subsistence livestock farmers | 24 |
| 6330 | Subsistence mixed crop and livestock farmers | 110 |
| 6340 | Subsistence fishers, hunters, trappers and gatherers | 11 |
| 7000 | Craft and related trades workers | 10 |
| 7100 | Building and related trades workers, excluding electricians | 17 |
| 7110 | Building frame and related trades workers | 43 |
| 7111 | House builders | 139 |
| 7112 | Bricklayers and related workers | 298 |
| 7113 | Stonemasons, stone cutters, splitters and carvers | 23 |
| 7114 | Concrete placers, concrete finishers and related workers | 50 |
| 7115 | Carpenters and joiners | 295 |
| 7119 | Building frame and related trades workers not elsewhere clas | 70 |
| 7120 | Building finishers and related trades workers | 24 |
| 7121 | Roofers | 26 |
| 7122 | Floor layers and tile setters | 44 |
| 7123 | Plasterers | 62 |
| 7124 | Insulation workers | 16 |
| 7125 | Glaziers | 13 |
| 7126 | Plumbers and pipe fitters | 196 |
| 7127 | Air conditioning and refrigeration mechanics | 29 |
| 7130 | Painters, building structure cleaners and related trades wor | 41 |
| 7131 | Painters and related workers | 171 |
| 7132 | Spray painters and varnishers | 45 |
| 7133 | Building structure cleaners | 6 |
| 7200 | Metal, machinery and related trades workers | 22 |
| 7210 | Sheet and structural metal workers, moulders and welders, an | 20 |
| 7211 | Metal moulders and coremakers | 16 |
| 7212 | Welders and flamecutters | 188 |
| 7213 | Sheet-metal workers | 49 |
| 7214 | Structural-metal preparers and erectors | 62 |
| 7215 | Riggers and cable splicers | 4 |
| 7220 | Blacksmiths, toolmakers and related trades workers | 17 |
| 7221 | Blacksmiths, hammersmiths and forging press workers | 37 |
| 7222 | Toolmakers and related workers | 122 |
| 7223 | Metal working machine tool setters and operators | 159 |
| 7224 | Metal polishers, wheel grinders and tool sharpeners | 19 |
| 7230 | Machinery mechanics and repairers | 68 |
| 7231 | Motor vehicle mechanics and repairers | 362 |
| 7232 | Aircraft engine mechanics and repairers | 8 |
| 7233 | Agricultural and industrial machinery mechanics and repairer | 173 |
| 7234 | Bicycle and related repairers | 17 |
| 7300 | Handicraft and printing workers | 1 |
| 7310 | Handicraft workers | 2 |
| 7311 | Precision-instrument makers and repairers | 16 |
| 7312 | Musical instrument makers and tuners | 2 |
| 7313 | Jewellery and precious-metal workers | 28 |
| 7314 | Potters and related workers | 10 |
| 7315 | Glass makers, cutters, grinders and finishers | 12 |
| 7316 | Sign writers, decorative painters, engravers and etchers | 13 |
| 7317 | Handicraft workers in wood, basketry and related materials | 17 |
| 7318 | Handicraft workers in textile, leather and related materials | 31 |
| 7319 | Handicraft workers not elsewhere classified | 21 |
| 7320 | Printing trades workers | 30 |
| 7321 | Pre-press technicians | 19 |
| 7322 | Printers | 60 |
| 7323 | Print finishing and binding workers | 17 |
| 7400 | Electrical and electronic trades workers | 2 |
| 7410 | Electrical equipment installers and repairers | 28 |
| 7411 | Building and related electricians | 265 |
| 7412 | Electrical mechanics and fitters | 136 |
| 7413 | Electrical line installers and repairers | 59 |
| 7420 | Electronics and telecommunications installers and repairers | 11 |
| 7421 | Electronics mechanics and servicers | 82 |
| 7422 | Information and communications technology installers and ser | 47 |
| 7500 | Food processing, wood working, garment and other craft and r | 4 |
| 7510 | Food processing and related trades workers | 29 |
| 7511 | Butchers, fishmongers and related food preparers | 125 |
| 7512 | Bakers, pastry-cooks and confectionery makers | 155 |
| 7513 | Dairy-products makers | 13 |
| 7514 | Fruit, vegetable and related preservers | 12 |
| 7515 | Food and beverage tasters and graders | 17 |
| 7516 | Tobacco preparers and tobacco products makers | 0 |
| 7520 | Wood treaters, cabinet-makers and related trades workers | 21 |
| 7521 | Wood treaters | 26 |
| 7522 | Cabinet-makers and related workers | 107 |
| 7523 | Woodworking-machine tool setters and operators | 39 |
| 7530 | Garment and related trades workers | 25 |
| 7531 | Tailors, dressmakers, furriers and hatters | 155 |
| 7532 | Garment and related pattern-makers and cutters | 31 |
| 7533 | Sewing, embroidery and related workers | 173 |
| 7534 | Upholsterers and related workers | 41 |
| 7535 | Pelt dressers, tanners and fellmongers | 8 |
| 7536 | Shoemakers and related workers | 33 |
| 7540 | Other craft and related workers | 17 |
| 7541 | Underwater divers | 2 |
| 7542 | Shotfirers and blasters | 7 |
| 7543 | Product graders and testers (excluding foods and beverages) | 100 |
| 7544 | Fumigators and other pest and weed controllers | 9 |
| 7549 | Craft and related workers not elsewhere classified | 34 |
| 8000 | Plant and machine operators, and assemblers | 22 |
| 8100 | Stationary plant and machine operators | 29 |
| 8110 | Mining and mineral processing plant operators | 1 |
| 8111 | Miners and quarriers | 87 |
| 8112 | Mineral and stone processing plant operators | 18 |
| 8113 | Well drillers and borers and related workers | 12 |
| 8114 | Cement, stone and other mineral products machine operators | 15 |
| 8120 | Metal processing and finishing plant operators | 12 |
| 8121 | Metal processing plant operators | 69 |
| 8122 | Metal finishing, plating and coating machine operators | 31 |
| 8130 | Chemical and photographic products plant and machine operato | 2 |
| 8131 | Chemical products plant and machine operators | 57 |
| 8132 | Photographic products machine operators | 8 |
| 8140 | Rubber, plastic and paper products machine operators | 4 |
| 8141 | Rubber products machine operators | 22 |
| 8142 | Plastic products machine operators | 46 |
| 8143 | Paper products machine operators | 16 |
| 8150 | Textile, fur and leather products machine operators | 9 |
| 8151 | Fibre preparing, spinning and winding machine operators | 18 |
| 8152 | Weaving and knitting machine operators | 56 |
| 8153 | Sewing machine operators | 107 |
| 8154 | Bleaching, dyeing and fabric cleaning machine operators | 3 |
| 8155 | Fur and leather preparing machine operators | 13 |
| 8156 | Shoemaking and related machine operators | 21 |
| 8157 | Laundry machine operators | 15 |
| 8159 | Textile, fur and leather products machine operators not else | 10 |
| 8160 | Food and related products machine operators | 124 |
| 8170 | Wood processing and papermaking plant operators | 4 |
| 8171 | Pulp and papermaking plant operators | 33 |
| 8172 | Wood processing plant operators | 50 |
| 8180 | Other stationary plant and machine operators | 9 |
| 8181 | Glass and ceramics plant operators | 23 |
| 8182 | Steam engine and boiler operators | 40 |
| 8183 | Packing, bottling and labelling machine operators | 53 |
| 8189 | Stationary plant and machine operators not elsewhere classif | 155 |
| 8200 | Assemblers | 3 |
| 8210 | Assemblers | 19 |
| 8211 | Mechanical machinery assemblers | 73 |
| 8212 | Electrical and electronic equipment assemblers | 102 |
| 8219 | Assemblers not elsewhere classified | 81 |
| 8300 | Drivers and mobile plant operators | 45 |
| 8310 | Locomotive engine drivers and related workers | 11 |
| 8311 | Locomotive engine drivers | 41 |
| 8312 | Railway brake, signal and switch operators | 28 |
| 8320 | Car, van and motorcycle drivers | 18 |
| 8321 | Motorcycle drivers | 38 |
| 8322 | Car, taxi and van drivers | 458 |
| 8330 | Heavy truck and bus drivers | 34 |
| 8331 | Bus and tram drivers | 165 |
| 8332 | Heavy truck and lorry drivers | 437 |
| 8340 | Mobile plant operators | 18 |
| 8341 | Mobile farm and forestry plant operators | 85 |
| 8342 | Earthmoving and related plant operators | 75 |
| 8343 | Crane, hoist and related plant operators | 98 |
| 8344 | Lifting truck operators | 69 |
| 8350 | Ships' deck crews and related workers | 17 |
| 9000 | Elementary occupations | 43 |
| 9100 | Cleaners and helpers | 31 |
| 9110 | Domestic, hotel and office cleaners and helpers | 140 |
| 9111 | Domestic cleaners and helpers | 553 |
| 9112 | Cleaners and helpers in offices, hotels and other establishm | 880 |
| 9120 | Vehicle, window, laundry and other hand cleaning workers | 9 |
| 9121 | Hand launderers and pressers | 264 |
| 9122 | Vehicle cleaners | 19 |
| 9123 | Window cleaners | 1 |
| 9129 | Other cleaning workers | 54 |
| 9200 | Agricultural, forestry and fishery labourers | 10 |
| 9210 | Agricultural, forestry and fishery labourers | 42 |
| 9211 | Crop farm labourers | 263 |
| 9212 | Livestock farm labourers | 74 |
| 9213 | Mixed crop and livestock farm labourers | 89 |
| 9214 | Garden and horticultural labourers | 167 |
| 9215 | Forestry labourers | 30 |
| 9216 | Fishery and aquaculture labourers | 6 |
| 9300 | Labourers in mining, construction, manufacturing and transpo | 22 |
| 9310 | Mining and construction labourers | 14 |
| 9311 | Mining and quarrying labourers | 24 |
| 9312 | Civil engineering labourers | 80 |
| 9313 | Building construction labourers | 282 |
| 9320 | Manufacturing labourers | 119 |
| 9321 | Hand packers | 253 |
| 9329 | Manufacturing labourers not elsewhere classified | 237 |
| 9330 | Transport and storage labourers | 59 |
| 9331 | Hand and pedal vehicle drivers | 5 |
| 9332 | Drivers of animal-drawn vehicles and machinery | 1 |
| 9333 | Freight handlers | 206 |
| 9334 | Shelf fillers | 65 |
| 9400 | Food preparation assistants | 8 |
| 9410 | Food preparation assistants | 27 |
| 9411 | Fast food preparers | 64 |
| 9412 | Kitchen helpers | 200 |
| 9500 | Street and related sales and service workers | 1 |
| 9510 | Street and related service workers | 2 |
| 9520 | Street vendors (excluding food) | 29 |
| 9600 | Refuse workers and other elementary workers | 1 |
| 9610 | Refuse workers | 51 |
| 9611 | Garbage and recycling collectors | 38 |
| 9612 | Refuse sorters | 14 |
| 9613 | Sweepers and related labourers | 118 |
| 9620 | Other elementary workers | 49 |
| 9621 | Messengers, package deliverers and luggage porters | 111 |
| 9622 | Odd job persons | 45 |
| 9623 | Meter readers and vending-machine collectors | 12 |
| 9624 | Water and firewood collectors | 9 |
| 9629 | Elementary workers not elsewhere classified | 126 |
| 0 | NAP (Code 3 in WORK) | 4874 |
| 9998 | Don't know, inadequately described | 1166 |
| 9999 | No answer | 2780 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42848 | 8820 | 110 | 9629 |
Valid range from 110 to 9629
MAINSTAT Main status
| Value 156287 | Frequency | |
|---|---|---|
| 1 | In paid work | 27613 |
| 2 | Unemployed and looking for a job | 3963 |
| 3 | In education | 2430 |
| 4 | Apprentice or trainee | 250 |
| 5 | Permanently sick or disabled | 1578 |
| 6 | Retired | 10017 |
| 7 | Domestic work | 3620 |
| 8 | In compulsory military service or community service | 62 |
| 9 | Other | 1276 |
| 0 | TW: NAP (code 3 in WORK) | 97 |
| 99 | No answer | 762 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50809 | 859 | 1 | 9 |
Valid range from 1 to 9
PARTLIV Living in steady partnership
| Value 157286 | Frequency | |
|---|---|---|
| 1 | Yes, have partner; live in same household | 29101 |
| 2 | Yes, have partner; don't live in same household | 2576 |
| 3 | No partner | 16679 |
| 0 | Not available (GB,NZ) | 2694 |
| 7 | Refused | 119 |
| 9 | No answer | 499 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48356 | 3312 | 1 | 3 |
Valid range from 1 to 3
SPWORK Spouse, partner: currently, formerly or never in paid work
| Value 158285 | Frequency | |
|---|---|---|
| 1 | Currently in paid work | 20161 |
| 2 | Currently not in paid work, paid work in the past | 9533 |
| 3 | Never had paid work;AT,NZ: not in paid work | 3085 |
| 0 | NAP(C.3,7 in PARTLIV;GB:C.3-6 MARITAL+no partner in HH) | 17538 |
| 9 | No answer;NZ: No answer incl. no spouse/partner | 1351 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 32779 | 18889 | 1 | 3 |
Valid range from 1 to 3
SPWRKHRS Spouse, partner: hours worked weekly
| Value 159284 | Frequency | |
|---|---|---|
| 1 | One hour | 30 |
| 89 | 89; US: 89 hours or more | 7 |
| 96 | 96 hours or more | 149 |
| 0 | NAP (Code 0,2 or 3 (VE:0,3) in SPWORK);NAV(GB,NZ) | 31346 |
| 98 | Don't know | 656 |
| 99 | No answer | 1480 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 18186 | 33482 | 1 | 96 |
Valid range from 1 to 96
SPEMPREL Spouse, partner: employment relationship
| Value 160283 | Frequency | |
|---|---|---|
| 1 | Employee | 22123 |
| 2 | Self-employed without employees | 2697 |
| 3 | Self-employed with employees | 1158 |
| 4 | Working for own family's business | 815 |
| 5 | Self-employed with or without employees (GB,NZ) | 133 |
| 0 | NAP (Code 0,(2),3 in SPWORK;NZ: Code 2-9 in SPMAINST);NAV(AT | 21933 |
| 8 | Don't know | 7 |
| 9 | No answer, NZ: NA incl. no spouse/partner, CN: NA, other | 2802 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 26926 | 24742 | 1 | 5 |
Valid range from 1 to 5
SPWRKSUP Spouse, partner: supervise other employees
| Value 161282 | Frequency | |
|---|---|---|
| 1 | Yes | 6468 |
| 2 | No | 19214 |
| 0 | NAP (Code 0,(2),3 in SPWORK; NAV (AT,CN,NZ,US)) | 24340 |
| 8 | Don't know | 282 |
| 9 | No answer | 1364 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 25682 | 25986 | 1 | 2 |
Valid range from 1 to 2
SPISCO08 Spouse, partner: occupation ISCO/ ILO 2008
| Value 162281 | Frequency | |
|---|---|---|
| 110 | Commissioned armed forces officers | 52 |
| 210 | Non-commissioned armed forces officers | 34 |
| 310 | Armed forces occupations, other ranks | 56 |
| 1000 | Managers | 26 |
| 1100 | Chief executives, senior officials and legislators | 2 |
| 1110 | Legislators and senior officials | 1 |
| 1111 | Legislators | 18 |
| 1112 | Senior government officials | 27 |
| 1113 | Traditional chiefs and heads of village | 29 |
| 1114 | Senior officials of special-interest organizations | 17 |
| 1120 | Managing directors and chief executives | 179 |
| 1200 | Administrative and commercial managers | 9 |
| 1210 | Business services and administration managers | 22 |
| 1211 | Finance managers | 89 |
| 1212 | Human resource managers | 52 |
| 1213 | Policy and planning managers | 37 |
| 1219 | Business services and administration managers not elsewhere | 123 |
| 1220 | Sales, marketing and development managers | 5 |
| 1221 | Sales and marketing managers | 134 |
| 1222 | Advertising and public relations managers | 11 |
| 1223 | Research and development managers | 23 |
| 1300 | Production and specialised services managers | 12 |
| 1310 | Production managers in agriculture, forestry and fisheries | 3 |
| 1311 | Agricultural and forestry production managers | 50 |
| 1312 | Aquaculture and fisheries production managers | 4 |
| 1320 | Manufacturing, mining, construction, and distribution manage | 6 |
| 1321 | Manufacturing managers | 116 |
| 1322 | Mining managers | 5 |
| 1323 | Construction managers | 92 |
| 1324 | Supply, distribution and related managers | 92 |
| 1330 | Information and communications technology service managers | 59 |
| 1340 | Professional services managers | 20 |
| 1341 | Child care services managers | 14 |
| 1342 | Health services managers | 37 |
| 1343 | Aged care services managers | 9 |
| 1344 | Social welfare managers | 10 |
| 1345 | Education managers | 88 |
| 1346 | Financial and insurance services branch managers | 44 |
| 1349 | Professional services managers not elsewhere classified | 48 |
| 1400 | Hospitality, retail and other services managers | 2 |
| 1410 | Hotel and restaurant managers | 20 |
| 1411 | Hotel managers | 22 |
| 1412 | Restaurant managers | 68 |
| 1420 | Retail and wholesale trade managers | 118 |
| 1430 | Other services managers | 4 |
| 1431 | Sports, recreation and cultural centre managers | 40 |
| 1439 | Services managers not elsewhere classified | 58 |
| 2000 | Professionals | 18 |
| 2100 | Science and engineering professionals | 14 |
| 2110 | Physical and earth science professionals | 2 |
| 2111 | Physicists and astronomers | 7 |
| 2112 | Meteorologists | 1 |
| 2113 | Chemists | 29 |
| 2114 | Geologists and geophysicists | 13 |
| 2120 | Mathematicians, actuaries and statisticians | 9 |
| 2130 | Life science professionals | 5 |
| 2131 | Biologists, botanists, zoologists and related professionals | 16 |
| 2132 | Farming, forestry and fisheries advisers | 22 |
| 2133 | Environmental protection professionals | 18 |
| 2140 | Engineering professionals (excluding electrotechnology) | 31 |
| 2141 | Industrial and production engineers | 73 |
| 2142 | Civil engineers | 91 |
| 2143 | Environmental engineers | 10 |
| 2144 | Mechanical engineers | 66 |
| 2145 | Chemical engineers | 15 |
| 2146 | Mining engineers, metallurgists and related professionals | 13 |
| 2149 | Engineering professionals not elsewhere classified | 64 |
| 2150 | Electrotechnology engineers | 13 |
| 2151 | Electrical engineers | 33 |
| 2152 | Electronics engineers | 27 |
| 2153 | Telecommunications engineers | 19 |
| 2160 | Architects, planners, surveyors and designers | 13 |
| 2161 | Building architects | 57 |
| 2162 | Landscape architects | 5 |
| 2163 | Product and garment designers | 16 |
| 2164 | Town and traffic planners | 10 |
| 2165 | Cartographers and surveyors | 21 |
| 2166 | Graphic and multimedia designers | 38 |
| 2200 | Health professionals | 1 |
| 2210 | Medical doctors | 21 |
| 2211 | Generalist medical practitioners | 84 |
| 2212 | Specialist medical practitioners | 64 |
| 2220 | Nursing and midwifery professionals | 17 |
| 2221 | Nursing professionals | 294 |
| 2222 | Midwifery professionals | 17 |
| 2230 | Traditional and complementary medicine professionals | 5 |
| 2240 | Paramedical practitioners | 7 |
| 2250 | Veterinarians | 22 |
| 2260 | Other health professionals | 0 |
| 2261 | Dentists | 48 |
| 2262 | Pharmacists | 41 |
| 2263 | Environmental and occupational health and hygiene profession | 13 |
| 2264 | Physiotherapists | 50 |
| 2265 | Dieticians and nutritionists | 10 |
| 2266 | Audiologists and speech therapists | 11 |
| 2267 | Optometrists and ophthalmic opticians | 3 |
| 2269 | Health professionals not elsewhere classified | 43 |
| 2300 | Teaching professionals | 112 |
| 2310 | University and higher education teachers | 140 |
| 2320 | Vocational education teachers | 80 |
| 2330 | Secondary education teachers | 347 |
| 2340 | Primary school and early childhood teachers | 47 |
| 2341 | Primary school teachers | 476 |
| 2342 | Early childhood educators | 199 |
| 2350 | Other teaching professionals | 7 |
| 2351 | Education methods specialists | 18 |
| 2352 | Special needs teachers | 48 |
| 2353 | Other language teachers | 11 |
| 2354 | Other music teachers | 21 |
| 2355 | Other arts teachers | 8 |
| 2356 | Information technology trainers | 4 |
| 2359 | Teaching professionals not elsewhere classified | 59 |
| 2400 | Business and administration professionals | 19 |
| 2410 | Finance professionals | 5 |
| 2411 | Accountants | 220 |
| 2412 | Financial and investment advisers | 44 |
| 2413 | Financial analysts | 16 |
| 2420 | Administration professionals | 10 |
| 2421 | Management and organization analysts | 52 |
| 2422 | Policy administration professionals | 56 |
| 2423 | Personnel and careers professionals | 36 |
| 2424 | Training and staff development professionals | 19 |
| 2430 | Sales, marketing and public relations professionals | 9 |
| 2431 | Advertising and marketing professionals | 51 |
| 2432 | Public relations professionals | 18 |
| 2433 | Technical and medical sales professionals (excluding ICT) | 29 |
| 2434 | Information and communications technology sales professional | 5 |
| 2500 | Information and communications technology professionals | 35 |
| 2510 | Software and applications developers and analysts | 9 |
| 2511 | Systems analysts | 46 |
| 2512 | Software developers | 66 |
| 2513 | Web and multimedia developers | 19 |
| 2514 | Applications programmers | 35 |
| 2519 | Software and applications developers and analysts not elsewh | 25 |
| 2520 | Database and network professionals | 2 |
| 2521 | Database designers and administrators | 14 |
| 2522 | Systems administrators | 33 |
| 2523 | Computer network professionals | 4 |
| 2529 | Database and network professionals not elsewhere classified | 9 |
| 2600 | Legal, social and cultural professionals | 0 |
| 2610 | Legal professionals | 7 |
| 2611 | Lawyers | 102 |
| 2612 | Judges | 8 |
| 2619 | Legal professionals not elsewhere classified | 38 |
| 2620 | Librarians, archivists and curators | 1 |
| 2621 | Archivists and curators | 7 |
| 2622 | Librarians and related information professionals | 19 |
| 2630 | Social and religious professionals | 4 |
| 2631 | Economists | 58 |
| 2632 | Sociologists, anthropologists and related professionals | 2 |
| 2633 | Philosophers, historians and political scientists | 3 |
| 2634 | Psychologists | 44 |
| 2635 | Social work and counselling professionals | 108 |
| 2636 | Religious professionals | 33 |
| 2640 | Authors, journalists and linguists | 4 |
| 2641 | Authors and related writers | 12 |
| 2642 | Journalists | 46 |
| 2643 | Translators, interpreters and other linguists | 18 |
| 2650 | Creative and performing artists | 5 |
| 2651 | Visual artists | 24 |
| 2652 | Musicians, singers and composers | 34 |
| 2653 | Dancers and choreographers | 10 |
| 2654 | Film, stage and related directors and producers | 21 |
| 2655 | Actors | 7 |
| 2656 | Announcers on radio, television and other media | 1 |
| 2659 | Creative and performing artists not elsewhere classified | 4 |
| 3000 | Technicians and associate professionals | 10 |
| 3100 | Science and engineering associate professionals | 17 |
| 3110 | Physical and engineering science technicians | 31 |
| 3111 | Chemical and physical science technicians | 17 |
| 3112 | Civil engineering technicians | 57 |
| 3113 | Electrical engineering technicians | 43 |
| 3114 | Electronics engineering technicians | 25 |
| 3115 | Mechanical engineering technicians | 59 |
| 3116 | Chemical engineering technicians | 12 |
| 3117 | Mining and metallurgical technicians | 17 |
| 3118 | Draughtspersons | 42 |
| 3119 | Physical and engineering science technicians not elsewhere c | 66 |
| 3120 | Mining, manufacturing and construction supervisors | 40 |
| 3121 | Mining supervisors | 15 |
| 3122 | Manufacturing supervisors | 198 |
| 3123 | Construction supervisors | 101 |
| 3130 | Process control technicians | 8 |
| 3131 | Power production plant operators | 11 |
| 3132 | Incinerator and water treatment plant operators | 8 |
| 3133 | Chemical processing plant controllers | 7 |
| 3134 | Petroleum and natural gas refining plant operators | 11 |
| 3135 | Metal production process controllers | 1 |
| 3139 | Process control technicians not elsewhere classified | 26 |
| 3140 | Life science technicians and related associate professionals | 5 |
| 3141 | Life science technicians (excluding medical) | 17 |
| 3142 | Agricultural technicians | 19 |
| 3143 | Forestry technicians | 5 |
| 3150 | Ship and aircraft controllers and technicians | 3 |
| 3151 | Ships' engineers | 21 |
| 3152 | Ships' deck officers and pilots | 24 |
| 3153 | Aircraft pilots and related associate professionals | 15 |
| 3154 | Air traffic controllers | 5 |
| 3155 | Air traffic safety electronics technicians | 2 |
| 3200 | Health associate professionals | 2 |
| 3210 | Medical and pharmaceutical technicians | 9 |
| 3211 | Medical imaging and therapeutic equipment technicians | 18 |
| 3212 | Medical and pathology laboratory technicians | 37 |
| 3213 | Pharmaceutical technicians and assistants | 20 |
| 3214 | Medical and dental prosthetic technicians | 19 |
| 3220 | Nursing and midwifery associate professionals | 14 |
| 3221 | Nursing associate professionals | 204 |
| 3222 | Midwifery associate professionals | 3 |
| 3230 | Traditional and complementary medicine associate professiona | 3 |
| 3240 | Veterinary technicians and assistants | 5 |
| 3250 | Other health associate professionals | 9 |
| 3251 | Dental assistants and therapists | 27 |
| 3252 | Medical records and health information technicians | 9 |
| 3253 | Community health workers | 15 |
| 3254 | Dispensing opticians | 3 |
| 3255 | Physiotherapy technicians and assistants | 18 |
| 3256 | Medical assistants | 30 |
| 3257 | Environmental and occupational health inspectors and associa | 26 |
| 3258 | Ambulance workers | 12 |
| 3259 | Health associate professionals not elsewhere classified | 19 |
| 3300 | Business and administration associate professionals | 23 |
| 3310 | Financial and mathematical associate professionals | 14 |
| 3311 | Securities and finance dealers and brokers | 32 |
| 3312 | Credit and loans officers | 47 |
| 3313 | Accounting associate professionals | 168 |
| 3314 | Statistical, mathematical and related associate professional | 5 |
| 3315 | Valuers and loss assessors | 9 |
| 3320 | Sales and purchasing agents and brokers | 76 |
| 3321 | Insurance representatives | 81 |
| 3322 | Commercial sales representatives | 255 |
| 3323 | Buyers | 58 |
| 3324 | Trade brokers | 29 |
| 3330 | Business services agents | 14 |
| 3331 | Clearing and forwarding agents | 20 |
| 3332 | Conference and event planners | 13 |
| 3333 | Employment agents and contractors | 22 |
| 3334 | Real estate agents and property managers | 71 |
| 3339 | Business services agents not elsewhere classified | 57 |
| 3340 | Administrative and specialised secretaries | 7 |
| 3341 | Office supervisors | 191 |
| 3342 | Legal secretaries | 14 |
| 3343 | Administrative and executive secretaries | 187 |
| 3344 | Medical secretaries | 24 |
| 3350 | Regulatory government associate professionals | 16 |
| 3351 | Customs and border inspectors | 16 |
| 3352 | Government tax and excise officials | 24 |
| 3353 | Government social benefits officials | 18 |
| 3354 | Government licensing officials | 6 |
| 3355 | Police inspectors and detectives | 30 |
| 3359 | Regulatory government associate professionals not elsewhere | 46 |
| 3400 | Legal, social, cultural and related associate professionals | 0 |
| 3410 | Legal, social and religious associate professionals | 2 |
| 3411 | Police inspectors and detectives | 33 |
| 3412 | Social work associate professionals | 105 |
| 3413 | Religious associate professionals | 6 |
| 3420 | Sports and fitness workers | 10 |
| 3421 | Athletes and sports players | 8 |
| 3422 | Sports coaches, instructors and officials | 33 |
| 3423 | Fitness and recreation instructors and program leaders | 20 |
| 3430 | Artistic, cultural and culinary associate professionals | 2 |
| 3431 | Photographers | 21 |
| 3432 | Interior designers and decorators | 24 |
| 3433 | Gallery, museum and library technicians | 14 |
| 3434 | Chefs | 40 |
| 3435 | Other artistic and cultural associate professionals | 22 |
| 3500 | Information and communications technicians | 6 |
| 3510 | Information and communications technology operations and use | 16 |
| 3511 | Information and communications technology operations technic | 25 |
| 3512 | Information and communications technology user support techn | 19 |
| 3513 | Computer network and systems technicians | 32 |
| 3514 | Web technicians | 7 |
| 3520 | Telecommunications and broadcasting technicians | 3 |
| 3521 | Broadcasting and audio-visual technicians | 14 |
| 3522 | Telecommunications engineering technicians | 24 |
| 4000 | Clerical support workers | 15 |
| 4100 | General and keyboard clerks | 32 |
| 4110 | General office clerks | 540 |
| 4120 | Secretaries (general) | 275 |
| 4130 | Keyboard operators | 2 |
| 4131 | Typists and word processing operators | 21 |
| 4132 | Data entry clerks | 25 |
| 4200 | Customer services clerks | 4 |
| 4210 | Tellers, money collectors and related clerks | 19 |
| 4211 | Bank tellers and related clerks | 93 |
| 4212 | Bookmakers, croupiers and related gaming workers | 13 |
| 4213 | Pawnbrokers and money-lenders | 3 |
| 4214 | Debt-collectors and related workers | 17 |
| 4220 | Client information workers | 22 |
| 4221 | Travel consultants and clerks | 31 |
| 4222 | Contact centre information clerks | 42 |
| 4223 | Telephone switchboard operators | 27 |
| 4224 | Hotel receptionists | 28 |
| 4225 | Enquiry clerks | 23 |
| 4226 | Receptionists (general) | 63 |
| 4227 | Survey and market research interviewers | 10 |
| 4229 | Client information workers not elsewhere classified | 9 |
| 4300 | Numerical and material recording clerks | 2 |
| 4310 | Numerical clerks | 19 |
| 4311 | Accounting and bookkeeping clerks | 229 |
| 4312 | Statistical, finance and insurance clerks | 45 |
| 4313 | Payroll clerks | 25 |
| 4320 | Material-recording and transport clerks | 5 |
| 4321 | Stock clerks | 151 |
| 4322 | Production clerks | 25 |
| 4323 | Transport clerks | 42 |
| 4400 | Other clerical support workers | 1 |
| 4410 | Other clerical support workers | 11 |
| 4411 | Library clerks | 25 |
| 4412 | Mail carriers and sorting clerks | 61 |
| 4413 | Coding, proof-reading and related clerks | 5 |
| 4414 | Scribes and related workers | 1 |
| 4415 | Filing and copying clerks | 7 |
| 4416 | Personnel clerks | 18 |
| 4419 | Clerical support workers not elsewhere classified | 43 |
| 5000 | Service and sales workers | 12 |
| 5100 | Personal service workers | 7 |
| 5110 | Travel attendants, conductors and guides | 4 |
| 5111 | Travel attendants and travel stewards | 20 |
| 5112 | Transport conductors | 14 |
| 5113 | Travel guides | 10 |
| 5120 | Cooks | 309 |
| 5130 | Waiters and bartenders | 20 |
| 5131 | Waiters | 131 |
| 5132 | Bartenders | 58 |
| 5140 | Hairdressers, beauticians and related workers | 19 |
| 5141 | Hairdressers | 140 |
| 5142 | Beauticians and related workers | 58 |
| 5150 | Building and housekeeping supervisors | 4 |
| 5151 | Cleaning and housekeeping supervisors in offices, hotels and | 50 |
| 5152 | Domestic housekeepers | 27 |
| 5153 | Building caretakers | 81 |
| 5160 | Other personal services workers | 10 |
| 5161 | Astrologers, fortune-tellers and related workers | 4 |
| 5162 | Companions and valets | 7 |
| 5163 | Undertakers and embalmers | 4 |
| 5164 | Pet groomers and animal care workers | 13 |
| 5165 | Driving instructors | 6 |
| 5169 | Personal services workers not elsewhere classified | 19 |
| 5200 | Sales workers | 60 |
| 5210 | Street and market salespersons | 1 |
| 5211 | Stall and market salespersons | 147 |
| 5212 | Street food salespersons | 67 |
| 5220 | Shop salespersons | 191 |
| 5221 | Shop keepers | 224 |
| 5222 | Shop supervisors | 185 |
| 5223 | Shop sales assistants | 797 |
| 5230 | Cashiers and ticket clerks | 119 |
| 5240 | Other sales workers | 13 |
| 5241 | Fashion and other models | 1 |
| 5242 | Sales demonstrators | 8 |
| 5243 | Door to door salespersons | 6 |
| 5244 | Contact centre salespersons | 12 |
| 5245 | Service station attendants | 23 |
| 5246 | Food service counter attendants | 44 |
| 5249 | Sales workers not elsewhere classified | 27 |
| 5300 | Personal care workers | 3 |
| 5310 | Child care workers and teachers' aides | 13 |
| 5311 | Child care workers | 245 |
| 5312 | Teachers' aides | 42 |
| 5320 | Personal care workers in health services | 60 |
| 5321 | Health care assistants | 218 |
| 5322 | Home-based personal care workers | 93 |
| 5329 | Personal care workers in health services not elsewhere class | 59 |
| 5400 | Protective services workers | 2 |
| 5410 | Protective services workers | 9 |
| 5411 | Fire-fighters | 51 |
| 5412 | Police officers | 164 |
| 5413 | Prison guards | 41 |
| 5414 | Security guards | 246 |
| 5419 | Protective services workers not elsewhere classified | 54 |
| 6000 | Skilled agricultural, forestry and fishery workers | 20 |
| 6100 | Market-oriented skilled agricultural workers | 9 |
| 6110 | Market gardeners and crop growers | 9 |
| 6111 | Field crop and vegetable growers | 234 |
| 6112 | Tree and shrub crop growers | 60 |
| 6113 | Gardeners, horticultural and nursery growers | 89 |
| 6114 | Mixed crop growers | 38 |
| 6120 | Animal producers | 5 |
| 6121 | Livestock and dairy producers | 117 |
| 6122 | Poultry producers | 12 |
| 6123 | Apiarists and sericulturists | 3 |
| 6129 | Animal producers not elsewhere classified | 4 |
| 6130 | Mixed crop and animal producers | 222 |
| 6200 | Market-oriented skilled forestry, fishery and hunting worker | 1 |
| 6210 | Forestry and related workers | 44 |
| 6220 | Fishery workers, hunters and trappers | 2 |
| 6221 | Aquaculture workers | 4 |
| 6222 | Inland and coastal waters fishery workers | 18 |
| 6223 | Deep-sea fishery workers | 18 |
| 6224 | Hunters and trappers | 2 |
| 6300 | Subsistence farmers, fishers, hunters and gatherers | 35 |
| 6310 | Subsistence crop farmers | 29 |
| 6320 | Subsistence livestock farmers | 4 |
| 6330 | Subsistence mixed crop and livestock farmers | 23 |
| 6340 | Subsistence fishers, hunters, trappers and gatherers | 7 |
| 7000 | Craft and related trades workers | 9 |
| 7100 | Building and related trades workers, excluding electricians | 16 |
| 7110 | Building frame and related trades workers | 23 |
| 7111 | House builders | 145 |
| 7112 | Bricklayers and related workers | 216 |
| 7113 | Stonemasons, stone cutters, splitters and carvers | 56 |
| 7114 | Concrete placers, concrete finishers and related workers | 42 |
| 7115 | Carpenters and joiners | 209 |
| 7119 | Building frame and related trades workers not elsewhere clas | 50 |
| 7120 | Building finishers and related trades workers | 7 |
| 7121 | Roofers | 23 |
| 7122 | Floor layers and tile setters | 48 |
| 7123 | Plasterers | 46 |
| 7124 | Insulation workers | 12 |
| 7125 | Glaziers | 13 |
| 7126 | Plumbers and pipe fitters | 128 |
| 7127 | Air conditioning and refrigeration mechanics | 21 |
| 7130 | Painters, building structure cleaners and related trades wor | 8 |
| 7131 | Painters and related workers | 117 |
| 7132 | Spray painters and varnishers | 21 |
| 7133 | Building structure cleaners | 13 |
| 7200 | Metal, machinery and related trades workers | 20 |
| 7210 | Sheet and structural metal workers, moulders and welders, an | 5 |
| 7211 | Metal moulders and coremakers | 16 |
| 7212 | Welders and flamecutters | 166 |
| 7213 | Sheet-metal workers | 46 |
| 7214 | Structural-metal preparers and erectors | 57 |
| 7215 | Riggers and cable splicers | 1 |
| 7220 | Blacksmiths, toolmakers and related trades workers | 3 |
| 7221 | Blacksmiths, hammersmiths and forging press workers | 28 |
| 7222 | Toolmakers and related workers | 115 |
| 7223 | Metal working machine tool setters and operators | 98 |
| 7224 | Metal polishers, wheel grinders and tool sharpeners | 15 |
| 7230 | Machinery mechanics and repairers | 46 |
| 7231 | Motor vehicle mechanics and repairers | 284 |
| 7232 | Aircraft engine mechanics and repairers | 7 |
| 7233 | Agricultural and industrial machinery mechanics and repairer | 103 |
| 7234 | Bicycle and related repairers | 10 |
| 7300 | Handicraft and printing workers | 1 |
| 7310 | Handicraft workers | 3 |
| 7311 | Precision-instrument makers and repairers | 32 |
| 7312 | Musical instrument makers and tuners | 4 |
| 7313 | Jewellery and precious-metal workers | 15 |
| 7314 | Potters and related workers | 8 |
| 7315 | Glass makers, cutters, grinders and finishers | 6 |
| 7316 | Sign writers, decorative painters, engravers and etchers | 10 |
| 7317 | Handicraft workers in wood, basketry and related materials | 9 |
| 7318 | Handicraft workers in textile, leather and related materials | 13 |
| 7319 | Handicraft workers not elsewhere classified | 16 |
| 7320 | Printing trades workers | 4 |
| 7321 | Pre-press technicians | 10 |
| 7322 | Printers | 33 |
| 7323 | Print finishing and binding workers | 9 |
| 7400 | Electrical and electronic trades workers | 7 |
| 7410 | Electrical equipment installers and repairers | 17 |
| 7411 | Building and related electricians | 189 |
| 7412 | Electrical mechanics and fitters | 97 |
| 7413 | Electrical line installers and repairers | 42 |
| 7420 | Electronics and telecommunications installers and repairers | 9 |
| 7421 | Electronics mechanics and servicers | 31 |
| 7422 | Information and communications technology installers and ser | 24 |
| 7500 | Food processing, wood working, garment and other craft and r | 1 |
| 7510 | Food processing and related trades workers | 8 |
| 7511 | Butchers, fishmongers and related food preparers | 72 |
| 7512 | Bakers, pastry-cooks and confectionery makers | 95 |
| 7513 | Dairy-products makers | 6 |
| 7514 | Fruit, vegetable and related preservers | 5 |
| 7515 | Food and beverage tasters and graders | 5 |
| 7516 | Tobacco preparers and tobacco products makers | 0 |
| 7520 | Wood treaters, cabinet-makers and related trades workers | 12 |
| 7521 | Wood treaters | 22 |
| 7522 | Cabinet-makers and related workers | 96 |
| 7523 | Woodworking-machine tool setters and operators | 22 |
| 7530 | Garment and related trades workers | 6 |
| 7531 | Tailors, dressmakers, furriers and hatters | 83 |
| 7532 | Garment and related pattern-makers and cutters | 13 |
| 7533 | Sewing, embroidery and related workers | 76 |
| 7534 | Upholsterers and related workers | 30 |
| 7535 | Pelt dressers, tanners and fellmongers | 2 |
| 7536 | Shoemakers and related workers | 9 |
| 7540 | Other craft and related workers | 6 |
| 7541 | Underwater divers | 2 |
| 7542 | Shotfirers and blasters | 1 |
| 7543 | Product graders and testers (excluding foods and beverages) | 60 |
| 7544 | Fumigators and other pest and weed controllers | 1 |
| 7549 | Craft and related workers not elsewhere classified | 18 |
| 8000 | Plant and machine operators, and assemblers | 14 |
| 8100 | Stationary plant and machine operators | 14 |
| 8110 | Mining and mineral processing plant operators | 1 |
| 8111 | Miners and quarriers | 73 |
| 8112 | Mineral and stone processing plant operators | 7 |
| 8113 | Well drillers and borers and related workers | 13 |
| 8114 | Cement, stone and other mineral products machine operators | 8 |
| 8120 | Metal processing and finishing plant operators | 11 |
| 8121 | Metal processing plant operators | 53 |
| 8122 | Metal finishing, plating and coating machine operators | 31 |
| 8130 | Chemical and photographic products plant and machine operato | 0 |
| 8131 | Chemical products plant and machine operators | 37 |
| 8132 | Photographic products machine operators | 2 |
| 8140 | Rubber, plastic and paper products machine operators | 0 |
| 8141 | Rubber products machine operators | 5 |
| 8142 | Plastic products machine operators | 28 |
| 8143 | Paper products machine operators | 5 |
| 8150 | Textile, fur and leather products machine operators | 2 |
| 8151 | Fibre preparing, spinning and winding machine operators | 14 |
| 8152 | Weaving and knitting machine operators | 22 |
| 8153 | Sewing machine operators | 71 |
| 8154 | Bleaching, dyeing and fabric cleaning machine operators | 3 |
| 8155 | Fur and leather preparing machine operators | 0 |
| 8156 | Shoemaking and related machine operators | 10 |
| 8157 | Laundry machine operators | 20 |
| 8159 | Textile, fur and leather products machine operators not else | 9 |
| 8160 | Food and related products machine operators | 75 |
| 8170 | Wood processing and papermaking plant operators | 2 |
| 8171 | Pulp and papermaking plant operators | 19 |
| 8172 | Wood processing plant operators | 28 |
| 8180 | Other stationary plant and machine operators | 2 |
| 8181 | Glass and ceramics plant operators | 14 |
| 8182 | Steam engine and boiler operators | 23 |
| 8183 | Packing, bottling and labelling machine operators | 25 |
| 8189 | Stationary plant and machine operators not elsewhere classif | 89 |
| 8200 | Assemblers | 2 |
| 8210 | Assemblers | 3 |
| 8211 | Mechanical machinery assemblers | 58 |
| 8212 | Electrical and electronic equipment assemblers | 58 |
| 8219 | Assemblers not elsewhere classified | 43 |
| 8300 | Drivers and mobile plant operators | 26 |
| 8310 | Locomotive engine drivers and related workers | 2 |
| 8311 | Locomotive engine drivers | 28 |
| 8312 | Railway brake, signal and switch operators | 22 |
| 8320 | Car, van and motorcycle drivers | 44 |
| 8321 | Motorcycle drivers | 56 |
| 8322 | Car, taxi and van drivers | 370 |
| 8330 | Heavy truck and bus drivers | 40 |
| 8331 | Bus and tram drivers | 145 |
| 8332 | Heavy truck and lorry drivers | 414 |
| 8340 | Mobile plant operators | 9 |
| 8341 | Mobile farm and forestry plant operators | 72 |
| 8342 | Earthmoving and related plant operators | 51 |
| 8343 | Crane, hoist and related plant operators | 75 |
| 8344 | Lifting truck operators | 54 |
| 8350 | Ships' deck crews and related workers | 19 |
| 9000 | Elementary occupations | 23 |
| 9100 | Cleaners and helpers | 22 |
| 9110 | Domestic, hotel and office cleaners and helpers | 59 |
| 9111 | Domestic cleaners and helpers | 214 |
| 9112 | Cleaners and helpers in offices, hotels and other establishm | 408 |
| 9120 | Vehicle, window, laundry and other hand cleaning workers | 4 |
| 9121 | Hand launderers and pressers | 167 |
| 9122 | Vehicle cleaners | 7 |
| 9123 | Window cleaners | 0 |
| 9129 | Other cleaning workers | 17 |
| 9200 | Agricultural, forestry and fishery labourers | 6 |
| 9210 | Agricultural, forestry and fishery labourers | 36 |
| 9211 | Crop farm labourers | 126 |
| 9212 | Livestock farm labourers | 48 |
| 9213 | Mixed crop and livestock farm labourers | 48 |
| 9214 | Garden and horticultural labourers | 85 |
| 9215 | Forestry labourers | 13 |
| 9216 | Fishery and aquaculture labourers | 8 |
| 9300 | Labourers in mining, construction, manufacturing and transpo | 30 |
| 9310 | Mining and construction labourers | 9 |
| 9311 | Mining and quarrying labourers | 6 |
| 9312 | Civil engineering labourers | 55 |
| 9313 | Building construction labourers | 193 |
| 9320 | Manufacturing labourers | 37 |
| 9321 | Hand packers | 99 |
| 9329 | Manufacturing labourers not elsewhere classified | 136 |
| 9330 | Transport and storage labourers | 34 |
| 9331 | Hand and pedal vehicle drivers | 16 |
| 9332 | Drivers of animal-drawn vehicles and machinery | 0 |
| 9333 | Freight handlers | 111 |
| 9334 | Shelf fillers | 31 |
| 9400 | Food preparation assistants | 10 |
| 9410 | Food preparation assistants | 6 |
| 9411 | Fast food preparers | 19 |
| 9412 | Kitchen helpers | 85 |
| 9500 | Street and related sales and service workers | 1 |
| 9510 | Street and related service workers | 4 |
| 9520 | Street vendors (excluding food) | 20 |
| 9600 | Refuse workers and other elementary workers | 0 |
| 9610 | Refuse workers | 24 |
| 9611 | Garbage and recycling collectors | 17 |
| 9612 | Refuse sorters | 5 |
| 9613 | Sweepers and related labourers | 52 |
| 9620 | Other elementary workers | 22 |
| 9621 | Messengers, package deliverers and luggage porters | 47 |
| 9622 | Odd job persons | 26 |
| 9623 | Meter readers and vending-machine collectors | 8 |
| 9624 | Water and firewood collectors | 6 |
| 9629 | Elementary workers not elsewhere classified | 79 |
| 0 | NAP (Code 0,(2),3 in SPWORK;NZ: Code 2-9 in SPMAINST) | 21889 |
| 9998 | Don't know, inadequately described | 1058 |
| 9999 | No answer, NZ: NA incl. no spouse/partner | 3059 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 25662 | 26006 | 110 | 9629 |
Valid range from 110 to 9629
SPMAINST Spouse, partner: main status
| Value 163280 | Frequency | |
|---|---|---|
| 1 | In paid work | 19799 |
| 2 | Unemployed and looking for a job | 1631 |
| 3 | In education | 564 |
| 4 | Apprentice or trainee | 69 |
| 5 | Permanently sick or disabled | 800 |
| 6 | Retired | 5778 |
| 7 | Domestic work | 3068 |
| 8 | In compulsory military service or community service | 29 |
| 9 | Other | 645 |
| 0 | NAP (C.3,7 in PARTLIV);TW (C.3,7 PARTLIV,C.3 SPWORK);GB: C.3 | 17611 |
| 99 | No answer;NZ: No answer incl. no spouse/partner | 1674 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 32383 | 19285 | 1 | 9 |
Valid range from 1 to 9
UNION Trade union membership
| Value 164279 | Frequency | |
|---|---|---|
| 1 | Yes, currently | 8394 |
| 2 | Yes, previously, but not currently | 10600 |
| 3 | No, never | 31156 |
| 0 | TW: NAP (code 3 in WORK) | 97 |
| 7 | Refused | 141 |
| 9 | No answer | 1280 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50150 | 1518 | 1 | 3 |
Valid range from 1 to 3
AT_RELIG Country specific religious affiliation or denomination: Austria
| Value 165278 | Frequency | |
|---|---|---|
| 0 | No religion | 177 |
| 1 | Roman Catholic | 697 |
| 2 | Lutheran Church (without Protestant free churches) | 46 |
| 3 | Orthodox | 22 |
| 4 | Other Christian denomination | 7 |
| 5 | Muslim denomination | 32 |
| 6 | Other non-Christian denomination | 8 |
| 990 | NAP, other countries | 50667 |
| 999 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 989 | 50679 | 0 | 6 |
Valid range from 0 to 6
AU_RELIG Country specific religious affiliation or denomination: Australia
| Value 166277 | Frequency | |
|---|---|---|
| 0 | No religion | 433 |
| 1 | Catholic | 254 |
| 2 | Protestant | 67 |
| 3 | Anglican/ Church of England | 177 |
| 4 | Uniting Church/ Methodist | 74 |
| 5 | Pentecostal | 19 |
| 6 | Orthodox | 25 |
| 7 | Other Christian | 66 |
| 8 | Jewish | 6 |
| 9 | Islamic | 7 |
| 10 | Buddhist | 12 |
| 11 | Hindu | 3 |
| 12 | Other Asian religions | 3 |
| 13 | Other religions | 10 |
| 990 | NAP, other countries | 50457 |
| 997 | Refused | 1 |
| 999 | No answer | 54 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1156 | 50512 | 0 | 13 |
Valid range from 0 to 13
BE_RELIG Country specific religious affiliation or denomination: Belgium
| Value 167276 | Frequency | |
|---|---|---|
| 0 | No religion | 816 |
| 1 | Roman Catholic | 676 |
| 2 | Protestant | 30 |
| 4 | Other Christian groups | 353 |
| 5 | Jewish | 4 |
| 6 | Islamic | 132 |
| 10 | Other religions | 39 |
| 990 | NAP, other countries | 49527 |
| 997 | Refused | 0 |
| 999 | No answer | 91 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2050 | 49618 | 0 | 10 |
Valid range from 0 to 10
CH_RELIG Country specific religious affiliation or denomination: Switzerland
| Value 168275 | Frequency | |
|---|---|---|
| 0 | No religion | 341 |
| 100 | Roman Catholic | 397 |
| 200 | Protestant | 330 |
| 290 | Other Protestant (no specific religion mentioned) | 28 |
| 300 | Orthodox | 21 |
| 400 | Other Christian Religions | 25 |
| 500 | Jewish | 3 |
| 600 | Islam | 54 |
| 700 | Buddhism | 14 |
| 800 | Hinduism | 1 |
| 970 | Other non-Christian Religions | 3 |
| 990 | NAP, other countries | 50433 |
| 997 | Refused | 1 |
| 999 | No answer | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1217 | 50451 | 0 | 970 |
Valid range from 0 to 970
CL_RELIG Country specific religious affiliation or denomination: Chile
| Value 169274 | Frequency | |
|---|---|---|
| 0 | None | 259 |
| 1 | Catholic | 802 |
| 2 | Evangelical | 261 |
| 3 | Jehovah's Witnesses | 25 |
| 4 | Jews | 0 |
| 5 | Mormons | 11 |
| 6 | Muslim | 0 |
| 7 | Orthodox | 0 |
| 8 | Other | 26 |
| 10 | Atheist | 14 |
| 11 | Agnostic | 8 |
| 990 | NAP, other countries | 50235 |
| 999 | No answer | 27 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1406 | 50262 | 0 | 11 |
Valid range from 0 to 11
CN_RELIG Country specific religious affiliation or denomination: China
| Value 170273 | Frequency | |
|---|---|---|
| 0 | No religion | 1582 |
| 1 | Catholic | 3 |
| 2 | Protestant | 0 |
| 3 | Orthodox | 0 |
| 4 | Other Christian | 32 |
| 5 | Jewish | 0 |
| 6 | Islamic | 34 |
| 7 | Buddhist | 86 |
| 8 | Hindu | 0 |
| 9 | Other Asian religions | 36 |
| 10 | Other religions | 0 |
| 990 | NAP, other countries | 49873 |
| 997 | Refused | 1 |
| 999 | No answer | 21 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1773 | 49895 | 0 | 9 |
Valid range from 0 to 10
CZ_RELIG Country specific religious affiliation or denomination: Czech Republic
| Value 171272 | Frequency | |
|---|---|---|
| 0 | No religion | 953 |
| 1 | Roman Catholic | 363 |
| 2 | Czech-Brethren Evangelical Church | 20 |
| 3 | Czechoslovak Hussite | 7 |
| 4 | Other Christians | 18 |
| 5 | Other Non-Christians | 3 |
| 990 | NAP, other countries | 50233 |
| 997 | Refused | 39 |
| 999 | No answer | 32 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1364 | 50304 | 0 | 5 |
Valid range from 0 to 5
DE_RELIG Country specific religious affiliation or denomination: Germany
| Value 172271 | Frequency | |
|---|---|---|
| 0 | No religion | 648 |
| 1 | Roman Catholic | 447 |
| 2 | German Protestant Church | 476 |
| 3 | Protestant Free Church | 31 |
| 4 | Orthodox | 13 |
| 5 | Other Christian denomination | 20 |
| 6 | Islamic religion | 41 |
| 7 | Jewish religion | 0 |
| 8 | Buddhist religion | 1 |
| 9 | Hindu religion | 1 |
| 10 | Other non-Christian religion | 6 |
| 990 | NAP, other countries | 49981 |
| 999 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1684 | 49984 | 0 | 10 |
Valid range from 0 to 10
DK_RELIG Country specific religious affiliation or denomination: Denmark
| Value 173270 | Frequency | |
|---|---|---|
| 0 | No religion | 187 |
| 100 | Roman Catholic | 7 |
| 250 | Lutheran | 818 |
| 500 | Jewish | 1 |
| 600 | Islam | 2 |
| 960 | Other religions | 14 |
| 990 | NAP, other countries | 50530 |
| 998 | Don't know | 24 |
| 999 | No answer | 85 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1029 | 50639 | 0 | 960 |
Valid range from 0 to 960
EE_RELIG Country specific religious affiliation or denomination: Estonia
| Value 174269 | Frequency | |
|---|---|---|
| 0 | No religion | 470 |
| 1 | Lutheran | 288 |
| 2 | Russian Orthodox (incl. Old Believers) | 319 |
| 3 | Greek Orthodox | 8 |
| 4 | Catholic | 11 |
| 5 | Baptism, Methodism, or other smaller Christian religions | 26 |
| 6 | Estonian paganism | 28 |
| 7 | New Age | 6 |
| 8 | Islam | 1 |
| 9 | Judaism | 0 |
| 10 | Buddhism | 7 |
| 11 | Hindu | 1 |
| 12 | Other east faith | 2 |
| 13 | Other religion | 5 |
| 990 | NAP, other countries | 50461 |
| 998 | Don't know | 35 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1172 | 50496 | 0 | 13 |
Valid range from 0 to 13
ES_RELIG Country specific religious affiliation or denomination: Spain
| Value 175268 | Frequency | |
|---|---|---|
| 0 | No religion | 425 |
| 100 | Roman Catholic | 1301 |
| 200 | Protestant | 1 |
| 250 | Lutheran Church | 1 |
| 282 | Jehovah's Witnesses | 7 |
| 290 | Evangelist Church | 12 |
| 390 | Orthodox | 27 |
| 400 | Other Christian religion | 5 |
| 600 | Islam | 29 |
| 700 | Buddhist | 4 |
| 800 | Hindu | 1 |
| 960 | Other religion | 2 |
| 990 | NAP, other countries | 49834 |
| 999 | No answer | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1815 | 49853 | 0 | 960 |
Valid range from 0 to 960
FI_RELIG Country specific religious affiliation or denomination: Finland
| Value 176267 | Frequency | |
|---|---|---|
| 0 | No religion | 300 |
| 1 | The Evangelical Lutheran Church of Finland | 840 |
| 2 | Finnish Orthodox Church | 17 |
| 3 | Catholic Church of Finland | 4 |
| 4 | Other Christian Church or denomination | 18 |
| 6 | Islam/ Muslim | 5 |
| 7 | Buddhist | 2 |
| 8 | Hindu | 1 |
| 9 | Other Asian Religions | 1 |
| 10 | Other religious denomination | 6 |
| 990 | NAP, other countries | 50465 |
| 999 | No answer | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1194 | 50474 | 0 | 10 |
Valid range from 0 to 10
FR_RELIG Country specific religious affiliation or denomination: France
| Value 177266 | Frequency | |
|---|---|---|
| 0 | No religion | 577 |
| 1 | Catholic | 524 |
| 2 | Protestant | 21 |
| 3 | Orthodox | 2 |
| 4 | Other Christian | 10 |
| 5 | Jewish | 7 |
| 6 | Islamic | 43 |
| 7 | Buddhist | 4 |
| 8 | Hindu | 0 |
| 9 | Other Asian religions | 0 |
| 10 | Other religions | 5 |
| 990 | NAP, other countries | 50444 |
| 999 | No answer | 31 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1193 | 50475 | 0 | 10 |
Valid range from 0 to 10
GB_RELIG Country specific religious affiliation or denomination: Great Britain (GB-GBN)
| Value 178265 | Frequency | |
|---|---|---|
| 0 | No religion | 872 |
| 2 | Christian - no denomination | 209 |
| 3 | Roman Catholic | 143 |
| 4 | Church of England/ Anglican | 383 |
| 5 | Baptist | 8 |
| 6 | Methodist | 24 |
| 7 | Presbyterian/ Church of Scotland | 31 |
| 8 | Other Christian | 2 |
| 9 | Hindu | 22 |
| 10 | Jewish | 6 |
| 11 | Islam/ Muslim | 46 |
| 12 | Sikh | 12 |
| 13 | Buddhist | 6 |
| 14 | Other non-Christian | 11 |
| 22 | Brethren | 1 |
| 23 | United Reform Church (URC)/ Congregational | 3 |
| 27 | Other Protestant | 11 |
| 990 | NAP, other countries | 49875 |
| 997 | Refused | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1790 | 49878 | 0 | 27 |
Valid range from 0 to 27
GE_RELIG Country specific religious affiliation or denomination: Georgia
| Value 179264 | Frequency | |
|---|---|---|
| 1 | No religion | 17 |
| 2 | Orthodox | 1263 |
| 3 | Grigorian | 44 |
| 4 | Catholic | 4 |
| 5 | Protestant | 5 |
| 6 | Other Christians | 19 |
| 7 | Judaism | 2 |
| 8 | Muslim | 131 |
| 9 | Buddhist | 0 |
| 12 | Other religions | 2 |
| 990 | NAP, other countries | 50181 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1487 | 50181 | 1 | 12 |
Valid range from 1 to 12
HR_RELIG Country specific religious affiliation or denomination: Croatia
| Value 180263 | Frequency | |
|---|---|---|
| 0 | No religion | 49 |
| 1 | Roman Catholic | 872 |
| 2 | Christian Orthodox | 50 |
| 3 | Islamic | 12 |
| 4 | Jewsih | 0 |
| 6 | Other Religions | 9 |
| 990 | NAP, other countries | 50668 |
| 997 | Refused | 3 |
| 999 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 992 | 50676 | 0 | 6 |
Valid range from 0 to 6
HU_RELIG Country specific religious affiliation or denomination: Hungary
| Value 181262 | Frequency | |
|---|---|---|
| 0 | No religion | 149 |
| 1 | Calvinist | 160 |
| 2 | Lutheran | 29 |
| 3 | Unitarian | 3 |
| 4 | Baptist | 2 |
| 5 | Methodist | 1 |
| 7 | Other Protestant | 1 |
| 8 | Roman Catholic | 592 |
| 9 | Greek Catholic | 32 |
| 10 | Jewish | 6 |
| 12 | Eastern Orthodox | 2 |
| 14 | Other not Christian | 1 |
| 15 | Other Christian | 4 |
| 990 | NAP, other countries | 50665 |
| 997 | Refused | 20 |
| 999 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 982 | 50686 | 0 | 15 |
Valid range from 0 to 15
IL_RELIG Country specific religious affiliation or denomination: Israel
| Value 182261 | Frequency | |
|---|---|---|
| 0 | No religion | 20 |
| 1 | Roman Catholic | 15 |
| 2 | Protestant | 1 |
| 3 | Christian Orthodox | 20 |
| 4 | Other Christian | 32 |
| 5 | Jewish | 973 |
| 6 | Islamic | 155 |
| 10 | Other religions | 4 |
| 11 | Druse | 18 |
| 990 | NAP, other countries | 50420 |
| 997 | Refused | 6 |
| 999 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1238 | 50430 | 0 | 11 |
Valid range from 0 to 11
IN_RELIG Country specific religious affiliation or denomination: India
| Value 183260 | Frequency | |
|---|---|---|
| 1 | Catholic | 19 |
| 6 | Islamic | 178 |
| 7 | Buddhist | 37 |
| 8 | Hindu | 1052 |
| 9 | Other Asian Religions | 15 |
| 990 | NAP, other countries | 50332 |
| 997 | Refused | 35 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1301 | 50367 | 1 | 9 |
Valid range from 1 to 9
IS_RELIG Country specific religious affiliation or denomination: Iceland
| Value 184259 | Frequency | |
|---|---|---|
| 0 | No religion | 202 |
| 1 | Protestant (other than National Church) | 25 |
| 2 | Catholic | 25 |
| 3 | Orthodox | 4 |
| 4 | Other Christian | 23 |
| 5 | Jewish | 1 |
| 6 | Islamic | 2 |
| 7 | Buddhist | 5 |
| 8 | Hindu | 1 |
| 9 | Other Asian religions | 1 |
| 10 | Asatru (belief in old nordic gods) | 9 |
| 11 | Other religions | 3 |
| 55 | National Church (Protestant) | 747 |
| 990 | NAP, other countries | 50542 |
| 997 | Refused | 31 |
| 999 | No answer | 47 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1048 | 50620 | 0 | 55 |
Valid range from 0 to 55
JP_RELIG Country specific religious affiliation or denomination: Japan
| Value 185258 | Frequency | |
|---|---|---|
| 0 | No religion | 979 |
| 4 | Other Christian | 26 |
| 7 | Buddhist | 511 |
| 9 | Other Asian Religions | 0 |
| 10 | Other Religions | 5 |
| 11 | Shintoism | 38 |
| 990 | NAP, other countries | 50095 |
| 999 | No answer | 14 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1559 | 50109 | 0 | 11 |
Valid range from 0 to 11
LT_RELIG Country specific religious affiliation or denomination: Lithuania
| Value 186257 | Frequency | |
|---|---|---|
| 0 | No religion | 103 |
| 1 | Catholic | 947 |
| 2 | Protestant | 9 |
| 3 | Orthodox | 15 |
| 4 | Other Christian | 25 |
| 5 | Jewish | 1 |
| 6 | Islamic | 1 |
| 7 | Buddhist | 0 |
| 8 | Hindu | 2 |
| 9 | Other Asian religions | 2 |
| 10 | Other religions | 3 |
| 990 | NAP, other countries | 50541 |
| 997 | Refused | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1108 | 50560 | 0 | 10 |
Valid range from 0 to 10
LV_RELIG Country specific religious affiliation or denomination: Latvia
| Value 187256 | Frequency | |
|---|---|---|
| 1 | No religion | 353 |
| 2 | Roman Catholic | 194 |
| 3 | Lutheran | 186 |
| 4 | Other Protestant | 4 |
| 5 | Baptist | 5 |
| 6 | Russian Orthodox | 162 |
| 7 | Old Believers | 56 |
| 8 | Other Christian Religions | 6 |
| 9 | Jewish | 0 |
| 10 | Muslim | 3 |
| 11 | Buddhism | 1 |
| 12 | Hinduism | 1 |
| 13 | Other Asian religions | 0 |
| 14 | Other religion | 2 |
| 990 | NAP, other countries | 50666 |
| 997 | Refused to answer | 8 |
| 998 | Cannot say, don't know | 21 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 973 | 50695 | 1 | 14 |
Valid range from 1 to 14
MX_RELIG Country specific religious affiliation or denomination: Mexico
| Value 188255 | Frequency | |
|---|---|---|
| 0 | No religion | 93 |
| 100 | Roman Catholic | 903 |
| 220 | Baptist | 6 |
| 230 | Congregational | 1 |
| 250 | Lutheran, Evangelical Church | 3 |
| 260 | Methodist | 2 |
| 270 | Pentecostal | 7 |
| 271 | Full Gospel Church of God | 5 |
| 275 | Nazareth Baptist Church | 1 |
| 282 | Jehovah's Witnesses | 27 |
| 283 | Church of Christ | 3 |
| 285 | LDS Church, Apostle Twelve | 2 |
| 287 | Church of God | 2 |
| 288 | Church of the light of the world | 2 |
| 292 | Mormon | 5 |
| 295 | Seventh Day Adventists | 2 |
| 310 | Greek Orthodox | 1 |
| 390 | Orthodox (no spec. mentioned) | 2 |
| 407 | Christians | 36 |
| 413 | Biblical | 2 |
| 429 | Church of the Holy Death | 1 |
| 510 | Orthodox Jewish | 1 |
| 520 | Conservative Jewish | 1 |
| 890 | Hinduism general | 1 |
| 990 | NAP, other countries | 50527 |
| 999 | No answer | 32 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1109 | 50559 | 0 | 890 |
Valid range from 0 to 890
NO_RELIG Country specific religious affiliation or denomination: Norway
| Value 189254 | Frequency | |
|---|---|---|
| 0 | No religious denomination or life stance organisation | 294 |
| 1 | Church of Norway (State Church) | 1035 |
| 2 | Pentecostal | 8 |
| 3 | Other Protestant Denomination | 28 |
| 4 | Roman Catholic | 32 |
| 5 | Orthodox (Greek, Russian, others) | 11 |
| 6 | Other Christian Denomination | 22 |
| 7 | Jewish | 3 |
| 8 | Islam | 30 |
| 9 | Buddhism | 6 |
| 10 | Hinduism | 0 |
| 11 | Other Eastern religion | 0 |
| 12 | Other religion | 7 |
| 13 | Other life stance organisation (Norw. Humanist Association) | 50 |
| 990 | NAP, other countries | 50118 |
| 999 | No answer | 24 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1526 | 50142 | 0 | 13 |
Valid range from 0 to 13
NZ_RELIG Country specific religious affiliation or denomination: New Zealand
| Value 190253 | Frequency | |
|---|---|---|
| 0 | No religion | 282 |
| 1 | Anglican | 84 |
| 2 | Catholic | 76 |
| 3 | Presbyterian | 62 |
| 4 | Methodist | 20 |
| 5 | Baptist | 15 |
| 6 | Ratana | 1 |
| 7 | Ringatu | 1 |
| 8 | Other Christian | 66 |
| 9 | Buddhist | 10 |
| 10 | Hindu | 8 |
| 11 | Muslim | 3 |
| 12 | Jewish | 1 |
| 13 | Other religions | 9 |
| 990 | NAP, other countries | 50767 |
| 999 | No answer | 263 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 638 | 51030 | 0 | 13 |
Valid range from 0 to 13
PH_RELIG Country specific religious affiliation or denomination: Philippines
| Value 191252 | Frequency | |
|---|---|---|
| 0 | No religion | 4 |
| 1 | Roman Catholic | 970 |
| 2 | Iglesia ni Cristo | 24 |
| 3 | Aglipayan | 4 |
| 4 | Protestant | 15 |
| 5 | Islam | 67 |
| 6 | Jesus is Lord | 3 |
| 7 | Born Again | 33 |
| 8 | Church of God Word Mission | 0 |
| 10 | Baptist | 17 |
| 11 | Church of Jesus Christ and the Latter Day Saints (Mormon) | 4 |
| 12 | Seventh Day Adventist | 6 |
| 13 | Methodist | 1 |
| 14 | Full Gospel Christian | 0 |
| 15 | Glad Tidings Christian Fellowship | 0 |
| 16 | Jehovah's Witnesses | 3 |
| 18 | Dating Daan | 1 |
| 20 | Anglican | 12 |
| 21 | Church of God International | 0 |
| 22 | Jesus Christ Corner Mystery | 0 |
| 23 | Church of Christ | 4 |
| 24 | Christian Victory | 1 |
| 27 | Assembly of God | 5 |
| 28 | Four Square Gospel | 0 |
| 29 | One Way | 2 |
| 31 | Pentecostal | 7 |
| 32 | Church of God | 2 |
| 34 | Presbyterian | 0 |
| 36 | Alliance | 0 |
| 37 | Jesus Christ Center Faith Ministry | 0 |
| 38 | Bible Center Fellowship | 1 |
| 39 | Bread of Life | 1 |
| 40 | Christian and Missionary Alliance Church (CAMACOP Alliance) | 1 |
| 41 | God's Family | 1 |
| 42 | Jesus Love Fellowship | 1 |
| 43 | Jesus The Rose of Sharon Bible Fellowship | 1 |
| 44 | Pilipinista | 2 |
| 45 | The True Vine Christian | 1 |
| 46 | Union Espiritista | 1 |
| 47 | United Church of Christ in the Philippines | 1 |
| 48 | Word of Life | 1 |
| 990 | NAP, other countries | 50468 |
| 997 | Refused | 1 |
| 999 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1197 | 50471 | 0 | 48 |
Valid range from 0 to 48
PL_RELIG Country specific religious affiliation or denomination: Poland
| Value 192251 | Frequency | |
|---|---|---|
| 0 | Not related to any religion, church or denomination | 268 |
| 1 | Catholic | 1523 |
| 2 | Protestant | 1 |
| 3 | Orthodox | 10 |
| 4 | Jehovah's Witnesses | 3 |
| 7 | Christian | 97 |
| 8 | Ethnic religion | 1 |
| 9 | My own religion | 1 |
| 960 | Does not know if related to any religion, church or denomina | 114 |
| 990 | NAP, other countries | 49556 |
| 997 | Refused | 1 |
| 998 | Don't know | 1 |
| 999 | No answer | 92 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2018 | 49650 | 0 | 960 |
Valid range from 0 to 960
RU_RELIG Country specific religious affiliation or denomination: Russia
| Value 193250 | Frequency | |
|---|---|---|
| 0 | No religion, atheist | 216 |
| 1 | Christian Orthodox | 1223 |
| 2 | Roman Catholic | 14 |
| 3 | Protestant | 3 |
| 4 | Jewish | 1 |
| 5 | Islam | 98 |
| 6 | Buddhism | 0 |
| 7 | Hinduism | 1 |
| 8 | Other religions | 4 |
| 990 | NAP, other countries | 50072 |
| 997 | Refused | 22 |
| 998 | Don't know | 14 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1560 | 50108 | 0 | 8 |
Valid range from 0 to 8
SE_RELIG Country specific religious affiliation or denomination: Sweden
| Value 194249 | Frequency | |
|---|---|---|
| 0 | No religion | 305 |
| 1 | Church of Sweden | 761 |
| 2 | Roman Catholic | 23 |
| 3 | Christian Orthodox | 13 |
| 4 | Christian free-church | 20 |
| 5 | Other Christian church/community | 6 |
| 6 | Jewish | 1 |
| 7 | Islamic | 13 |
| 8 | Buddhist | 1 |
| 9 | Hindu | 0 |
| 10 | Other religion | 4 |
| 990 | NAP, other countries | 50506 |
| 999 | No answer | 15 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1147 | 50521 | 0 | 10 |
Valid range from 0 to 10
SI_RELIG Country specific religious affiliation or denomination: Slovenia
| Value 195248 | Frequency | |
|---|---|---|
| 0 | No religion | 350 |
| 1 | Roman Catholic | 634 |
| 2 | Protestant | 5 |
| 3 | Christian Orthodox | 15 |
| 4 | Other Christian | 1 |
| 6 | Islamic | 12 |
| 7 | Buddishm | 1 |
| 8 | Hindu | 0 |
| 9 | Other Asian religions | 1 |
| 10 | Other religion | 1 |
| 990 | NAP, other countries | 50645 |
| 997 | Refused | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1020 | 50648 | 0 | 10 |
Valid range from 0 to 10
SK_RELIG Country specific religious affiliation or denomination: Slovak Republic
| Value 196247 | Frequency | |
|---|---|---|
| 0 | No religion | 192 |
| 1 | Roman Catholic | 722 |
| 2 | Evangelical Lutheran | 82 |
| 3 | Greek Catholic | 37 |
| 4 | Reformed Calvinist | 24 |
| 5 | Christian Orthodox | 5 |
| 6 | Jehovah's Witnesses | 1 |
| 7 | Other Christian | 1 |
| 9 | Other Non-Christian | 2 |
| 990 | NAP, other countries | 50518 |
| 998 | Can't choose | 17 |
| 999 | No answer | 67 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1066 | 50602 | 0 | 9 |
Valid range from 0 to 9
SR_RELIG Country specific religious affiliation or denomination: Suriname
| Value 197246 | Frequency | |
|---|---|---|
| 0 | No religion | 95 |
| 2 | Roman Catholic | 202 |
| 3 | Protestant: Moravian | 163 |
| 4 | Protestant: Dutch Reform | 6 |
| 5 | Protestant: Pentacostal | 138 |
| 7 | Other Christian, specify | 53 |
| 9 | Islamic: east prayer | 98 |
| 10 | Islamic: west prayer | 67 |
| 11 | Buddhist | 1 |
| 12 | Hindu: Sanathan Dharma | 203 |
| 13 | Hindu: Arya Samaj | 45 |
| 14 | Javanism | 12 |
| 15 | Other religion | 2 |
| 990 | NAP, other countries | 50529 |
| 997 | Refused | 17 |
| 999 | No answer | 37 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1085 | 50583 | 0 | 15 |
Valid range from 0 to 15
TW_RELIG Country specific religious affiliation or denomination: Taiwan
| Value 198245 | Frequency | |
|---|---|---|
| 0 | No religion | 286 |
| 1 | Buddhism | 380 |
| 2 | Taoism | 322 |
| 3 | Folk religion | 888 |
| 4 | Yiguan Dao | 31 |
| 5 | Islamic | 1 |
| 6 | Catholicism | 14 |
| 7 | Protestant Christianity | 101 |
| 8 | Other | 8 |
| 990 | NAP, other countries | 49637 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2031 | 49637 | 0 | 8 |
Valid range from 0 to 8
US_RELIG Country specific religious affiliation or denomination: United States
| Value 199244 | Frequency | |
|---|---|---|
| 0 | No religion, none | 330 |
| 1 | Protestant | 708 |
| 2 | Catholic | 322 |
| 3 | Jewish | 26 |
| 5 | Other | 26 |
| 6 | Buddhism | 13 |
| 7 | Hinduism | 4 |
| 8 | Other Eastern religions | 2 |
| 9 | Moslem/ Islam | 10 |
| 10 | Orthodox-Christian | 3 |
| 11 | Christian | 17 |
| 12 | Native American | 2 |
| 13 | Inter-non-denominational | 4 |
| 990 | NAP, other countries | 50191 |
| 999 | No answer | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1467 | 50201 | 0 | 13 |
Valid range from 0 to 13
VE_RELIG Country specific religious affiliation or denomination: Venezuela
| Value 200243 | Frequency | |
|---|---|---|
| 0 | No religion | 52 |
| 1 | Catholic | 686 |
| 2 | Christian Evangelicals | 52 |
| 3 | Evangelicalism | 46 |
| 4 | Jehovas Witnesses | 8 |
| 5 | Christian | 112 |
| 6 | Buddhist | 1 |
| 7 | Adventists | 7 |
| 8 | Atheist | 15 |
| 9 | In God | 23 |
| 10 | MormĂłn | 1 |
| 11 | Orthodox | 1 |
| 12 | Santero | 3 |
| 990 | NAP, other countries | 50661 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1007 | 50661 | 0 | 12 |
Valid range from 0 to 12
ZA_RELIG Country specific religious affiliation or denomination: South Africa
| Value 201242 | Frequency | |
|---|---|---|
| 0 | No religion | 342 |
| 1 | Christian without specification | 397 |
| 2 | African Evangelical Church | 36 |
| 3 | Anglican | 118 |
| 4 | Assemblies of God | 41 |
| 5 | Apostle Twelve | 139 |
| 6 | Baptist | 45 |
| 7 | Dutch Reformed | 100 |
| 8 | Full Gospel Church of God | 94 |
| 9 | Faith Mission | 45 |
| 10 | Church of God and Saints of Christ | 18 |
| 11 | Jehovah's Witnesses | 15 |
| 12 | Lutheran | 51 |
| 13 | Methodist | 117 |
| 14 | Pentecostal Holiness Church | 23 |
| 15 | Roman Catholic | 161 |
| 16 | Salvation Army | 4 |
| 17 | Seventh Day Adventist | 18 |
| 18 | St Johns Apostolic | 48 |
| 19 | United Congregational Church | 40 |
| 20 | Universal Church of God | 12 |
| 21 | Nazareth | 32 |
| 22 | Zionist Christian Church | 284 |
| 23 | Other Christian | 219 |
| 24 | Islam or Muslim | 128 |
| 25 | Judaism or Jewish | 3 |
| 26 | Hinduism or Hindu | 112 |
| 27 | Buddhism or Buddhist | 2 |
| 28 | Other | 241 |
| 990 | NAP, other countries | 48728 |
| 997 | Refused | 6 |
| 999 | No answer | 49 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2885 | 48783 | 0 | 28 |
Valid range from 0 to 28
RELIGGRP Groups of religious affiliations (derived from nat_RELIG)
| Value 202241 | Frequency | |
|---|---|---|
| 0 | No religion | 13108 |
| 1 | Catholic | 14572 |
| 2 | Protestant | 9460 |
| 3 | Orthodox | 3310 |
| 4 | Other Christian, NZ,PL: Christian | 2729 |
| 5 | Jewish | 1047 |
| 6 | Islamic | 1435 |
| 7 | Buddhist | 1106 |
| 8 | Hindu | 1460 |
| 9 | Other Asian religions | 1362 |
| 10 | Other religions | 543 |
| 97 | Refused | 217 |
| 98 | Information insufficient | 125 |
| 99 | No answer | 1194 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50132 | 1536 | 0 | 10 |
Valid range from 0 to 10
ATTEND Attendance of religious services
| Value 203240 | Frequency | |
|---|---|---|
| 1 | Several times a week or more often (incl. every day, several | 2254 |
| 2 | Once a week;GB:Once a week or more | 5149 |
| 3 | 2 or 3 times a month;DE:1-3 times a month;US:+nearly every w | 3753 |
| 4 | Once a month | 2651 |
| 5 | Several times a year;GB:At least twice a year | 8484 |
| 6 | Once a year;CN,US: about once or twice a year | 4943 |
| 7 | Less frequently than once a year;AT,DE:than sev times a year | 6640 |
| 8 | Never | 15397 |
| 0 | NAP (AT: code 0 in AT_RELIG; PL:0,960 in PL_RELIG) | 559 |
| 97 | Refused | 240 |
| 98 | Don't know | 274 |
| 99 | No answer | 1324 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 49271 | 2397 | 1 | 8 |
Valid range from 1 to 8
TOPBOT Top-Bottom self-placement
| Value 204239 | Frequency | |
|---|---|---|
| 1 | Lowest, Bottom, 01 | 1485 |
| 2 | 02 | 1941 |
| 3 | 03 | 4117 |
| 4 | 04 | 5658 |
| 5 | 05 | 12145 |
| 6 | 06 | 9267 |
| 7 | 07 | 6832 |
| 8 | 08 | 4022 |
| 9 | 09 | 986 |
| 10 | Highest, Top, 10 | 718 |
| 0 | NAV (GB,NZ) | 2694 |
| 98 | Don't know | 525 |
| 99 | No answer | 1278 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47171 | 4497 | 1 | 10 |
Valid range from 1 to 10
VOTE_LE Did respondent vote in last general election
| Value 205238 | Frequency | |
|---|---|---|
| 1 | Yes | 35298 |
| 2 | No (NZ: includes not eligible) | 9555 |
| 0 | NAP, not eligible to vote at last election;NAV(GB) | 4348 |
| 7 | Refused | 1179 |
| 8 | LV: Don't know; PL: Hard to say | 93 |
| 9 | No answer | 1195 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44853 | 6815 | 1 | 2 |
Valid range from 1 to 2
AT_PRTY Country specific party voted for in last general election: Austria
| Value 206237 | Frequency | |
|---|---|---|
| 1 | Irmgard Griss - Independent | 114 |
| 2 | Norbert Hofer - Freedom Party - FPĂ– | 192 |
| 3 | Rudolf Hundstorfer - Social Democrats - SPĂ– | 93 |
| 4 | Andreas Kohl - Peoples Party - Ă–VP | 68 |
| 5 | Richard Lugner - Independent | 3 |
| 6 | Alexander Van der Bellen - Green Party | 154 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 215 |
| 99 | No answer | 162 |
| 990 | NAP, other countries | 50667 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 624 | 51044 | 1 | 6 |
Valid range from 1 to 6
AU_PRTY Country specific party voted for in last general election: Australia
| Value 207236 | Frequency | |
|---|---|---|
| 1 | Liberal Party | 479 |
| 2 | Labor Party (ALP) | 337 |
| 3 | National Party | 32 |
| 4 | Australian Democrats | 1 |
| 5 | Greens | 132 |
| 6 | One nation | 1 |
| 7 | Family First Party | 3 |
| 8 | Liberal National Party of Queensland | 0 |
| 9 | Palmer United Party | 2 |
| 11 | Animal Justice Party | 1 |
| 12 | Australian Sex Party | 1 |
| 13 | Australian Sports Party | 0 |
| 14 | Australian Stable Population Party | 0 |
| 15 | Citizens Electoral Council of Australia | 0 |
| 16 | Christian Democratic Party (Fred Nile Group) | 9 |
| 17 | Democratic Labour Party (DLP) | 0 |
| 18 | Katter's Australian Party | 0 |
| 19 | Shooters and Fishers Party | 2 |
| 20 | Socialist Alliance | 1 |
| 21 | Wikileaks Party | 1 |
| 90 | Independent candidate | 12 |
| 96 | Invalid ballot | 6 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 43 |
| 97 | Refused | 8 |
| 99 | No answer | 140 |
| 990 | NAP, other countries | 50457 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1020 | 50648 | 1 | 96 |
Valid range from 1 to 96
BE_PRTY Country specific party voted for in last general election: Belgium
| Value 208235 | Frequency | |
|---|---|---|
| 1 | Reformist Movement Francophone - MR | 229 |
| 2 | Green Party Flemish - Groen | 92 |
| 3 | Flemish Interest - Vlaams Belang | 35 |
| 4 | Party active in German speaking community - ProDG | 3 |
| 5 | Unitarian progressive liberal party - Vivant | 3 |
| 6 | Federal Democratic Francophones - FDF | 41 |
| 7 | Flemish Liberals and Democrats - Open VLD | 127 |
| 8 | List Dedecker - Lijst Dedecker | 2 |
| 9 | Green Party Francophone - Ecolo | 106 |
| 10 | Socialist Party Francophone - PS | 166 |
| 11 | Union of Francophone - UF | 1 |
| 12 | Socialist Party Flemish- SP.a | 89 |
| 13 | National Flemish Alliance N-VA | 262 |
| 14 | Christian Democrats Francophone - cdH | 90 |
| 15 | Christian Democrats Flemish - CD&V | 152 |
| 16 | Popular Party - Parti Populaire | 8 |
| 17 | Flemish Party of Labor in Belgium – PVDA+ | 13 |
| 18 | Francophone Party of Labor in Belgium – PTB-GO | 31 |
| 19 | Front National – FN | 2 |
| 95 | Other Party | 15 |
| 96 | Invalid ballot | 132 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 320 |
| 97 | Refused | 28 |
| 99 | No answer | 194 |
| 990 | NAP, other countries | 49527 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1599 | 50069 | 1 | 96 |
Valid range from 1 to 96
CH_PRTY Country specific party voted for in last general election: Switzerland
| Value 209234 | Frequency | |
|---|---|---|
| 1 | The Liberals (FDP/PLR) | 76 |
| 2 | Christian-Democratic Party (CVP/PDC/PPD) | 70 |
| 3 | Social Democratic Party (SP/PS) | 92 |
| 4 | Swiss People’s Party (SVP/UDC) | 126 |
| 5 | Conservative-democratic Party (BDP/PBD) | 20 |
| 6 | Evangelical Party (EVP/PEV) | 8 |
| 7 | Christian Social Party (CSP/PCS) | 2 |
| 8 | Labour Party (PdA/PST-POP/PSdL-PST) | 1 |
| 9 | Green Party (GPS/PES/I Verdi) | 25 |
| 10 | Green Liberal Party (GLP/PVL) | 23 |
| 11 | Swiss Democrats (SD/DS) | 2 |
| 12 | Federal Democratic Union (EDU/UDF) | 4 |
| 13 | Lega dei Ticinese (Lega) | 1 |
| 14 | Movement of the citizens of French-speaking Switzerland | 1 |
| 94 | Mixed vote (Candidates of several lists) | 90 |
| 95 | Other party | 1 |
| 96 | Invalid ballot | 15 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 532 |
| 98 | Don’t know | 66 |
| 99 | No answer | 80 |
| 990 | NAP, other countries | 50433 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 557 | 51111 | 1 | 96 |
Valid range from 1 to 96
CL_PRTY Country specific party voted for in last general election: Chile
| Value 210233 | Frequency | |
|---|---|---|
| 1 | Christian Democratic Party - PDC | 31 |
| 2 | Independent Democratic Union - UDI | 75 |
| 3 | Communist Party of Chile - PC | 4 |
| 4 | National Renewal Party - RN | 48 |
| 5 | Socialist Party of Chile - PS | 187 |
| 6 | Radical Social Democratic Party - PRSD | 9 |
| 7 | Democratic Party - PPD | 32 |
| 95 | Other party | 18 |
| 96 | Invalid ballot | 268 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 467 |
| 97 | Refused | 86 |
| 99 | No answer | 208 |
| 990 | NAP, other countries | 50235 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 672 | 50996 | 1 | 96 |
Valid range from 1 to 96
CN_PRTY Country specific party voted for in last general election: China
| Value 211232 | Frequency | |
|---|---|---|
| 990 | Not available;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
CZ_PRTY Country specific party voted for in last general election: Czech Republic
| Value 212231 | Frequency | |
|---|---|---|
| 1 | Czech Social Democratic Party - CSSD | 187 |
| 2 | ANO Yes | 164 |
| 3 | Communist Party of Bohemia and Moravia - KSCM | 66 |
| 4 | TOP 9 | 78 |
| 5 | Civic Democratic Party - ODS | 60 |
| 6 | Christian Democratic Party-Czech Peoples Party - KDU-CSL | 51 |
| 7 | Dawn of Direct Democracy Party - Ăšsvit | 25 |
| 8 | Green Party - SZ | 22 |
| 9 | Czech pirate party | 17 |
| 10 | Party of Free Citizens | 12 |
| 11 | Party of Citizens' Rights - Zemanovci - SPOZ | 4 |
| 12 | Workers Party of Social Justice - DSSS | 8 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 569 |
| 98 | Don’t know, don’t remember | 30 |
| 99 | No answer | 142 |
| 990 | NAP, other countries | 50233 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 694 | 50974 | 1 | 12 |
Valid range from 1 to 12
DE_PRTY Country specific party voted for in last general election: Germany
| Value 213230 | Frequency | |
|---|---|---|
| 1 | Christian Democratic Union/Christian Social Union - CDU/ CSU | 407 |
| 2 | Social Democratic Party of Germany - SPD | 265 |
| 3 | Party of Democratic Socialism - PDS/Linke Liste | 108 |
| 4 | Alliance 90/The Greens - Buendnis 90/Gruene | 166 |
| 5 | Free Democratic Party - FDP | 74 |
| 6 | Alternative for Germany - AfD | 39 |
| 7 | Pirates - Piratenpartei | 10 |
| 8 | National-Democratic Party of Germany - NPD | 4 |
| 95 | Other Party | 5 |
| 96 | Invalid ballot | 10 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 399 |
| 97 | Refused | 168 |
| 99 | No answer | 32 |
| 990 | NAP, other countries | 49981 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1088 | 50580 | 1 | 96 |
Valid range from 1 to 96
DK_PRTY Country specific party voted for in last general election: Denmark
| Value 214229 | Frequency | |
|---|---|---|
| 1 | Social democratic party | 217 |
| 2 | Radical liberal party | 62 |
| 3 | Conservative party | 33 |
| 4 | Socialist peoples' party | 43 |
| 5 | Christian peoples' party | 10 |
| 6 | Danish peoples' party | 160 |
| 7 | Liberal | 179 |
| 8 | Liberal alliance | 55 |
| 9 | Left-wing alliance | 60 |
| 10 | The Alternative | 61 |
| 95 | Other Party | 0 |
| 96 | Invalid ballot | 8 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 112 |
| 98 | Don't know/don't remember | 53 |
| 99 | No answer | 85 |
| 990 | NAP, other countries | 50530 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 888 | 50780 | 1 | 96 |
Valid range from 1 to 96
EE_PRTY Country specific party voted for in last general election: Estonia
| Value 215228 | Frequency | |
|---|---|---|
| 1 | Estonian Greens Party | 12 |
| 2 | Union of Pro Patria and Res Publica | 73 |
| 3 | Social Democratic Party | 116 |
| 4 | Estonian Reform Party | 137 |
| 5 | Estonian Centre Party | 222 |
| 6 | Conservative People's Party of Estonia | 46 |
| 7 | Estonian Free Party | 56 |
| 8 | Estonian Independence Party | 2 |
| 10 | Party of People's Unity | 3 |
| 11 | For an independent candidate | 22 |
| 96 | Invalid ballot | 2 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 452 |
| 98 | Don't know/don't remember | 64 |
| 990 | NAP, other countries | 50461 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 691 | 50977 | 1 | 96 |
Valid range from 1 to 96
ES_PRTY Country specific party voted for in last general election: Spain
| Value 216227 | Frequency | |
|---|---|---|
| 1 | PP | 311 |
| 2 | PSOE | 300 |
| 3 | Podemos | 188 |
| 4 | Ciudadanos | 164 |
| 5 | IU (Unidad Popular) | 40 |
| 6 | En ComĂş Podem | 11 |
| 7 | CompromĂs-Podemos | 17 |
| 8 | ERC | 26 |
| 9 | Convergència (Democà cia i Llibertad | 15 |
| 10 | En Marea | 6 |
| 11 | PNV | 12 |
| 12 | EH Bildu | 4 |
| 13 | CC | 2 |
| 94 | Blank vote | 20 |
| 95 | Other Party | 33 |
| 96 | Invalid ballot | 5 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 398 |
| 98 | Does not remember | 33 |
| 99 | No answer | 249 |
| 990 | NAP, other countries | 49834 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1154 | 50514 | 1 | 96 |
Valid range from 1 to 96
FI_PRTY Country specific party voted for in last general election: Finland
| Value 217226 | Frequency | |
|---|---|---|
| 1 | National Coalition Party - KOK | 141 |
| 2 | True Finns - PS | 138 |
| 3 | Swedish Peoples Party - SFP/RKP | 46 |
| 4 | Centre Party of Finland - KESK | 174 |
| 5 | Christian Democrats - KD | 29 |
| 6 | Social Democratic Party - SDP | 139 |
| 7 | Left Alliance - VAS | 58 |
| 8 | Green League - VIHR | 95 |
| 95 | Other Party | 14 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 246 |
| 97 | Refused | 96 |
| 99 | No answer | 27 |
| 990 | NAP, other countries | 50465 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 834 | 50834 | 1 | 95 |
Valid range from 1 to 95
FR_PRTY Country specific party voted for in last general election: France
| Value 218225 | Frequency | |
|---|---|---|
| 1 | Workers' Struggle - LO | 5 |
| 2 | New Anticapitalist Party - NPA | 7 |
| 3 | Left Front - FG | 54 |
| 4 | Socialist Party - PS | 283 |
| 5 | Green party - EELV | 39 |
| 6 | Democratic Movement - MoDem | 58 |
| 7 | Union for a Popular Movement - UMP | 279 |
| 8 | Arise the Republic - DLR | 12 |
| 9 | National Front - FN | 92 |
| 10 | Solidarity and Progress | 1 |
| 96 | Invalid ballot | 85 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 166 |
| 99 | No answer | 143 |
| 990 | NAP, other countries | 50444 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 915 | 50753 | 1 | 96 |
Valid range from 1 to 96
GB_PRTY Country specific party voted for in last general election: Great Britain (GB-GBN)
| Value 219224 | Frequency | |
|---|---|---|
| 990 | Not available;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
GE_PRTY Country specific party voted for in last general election: Georgia
| Value 220223 | Frequency | |
|---|---|---|
| 1 | Giorgi Gachechiladze – 'Green’s Party' | 2 |
| 2 | For The Name Of The Lord, Lord Is Our Righteousness | 4 |
| 3 | Political Movement of armed Veterans and Patriots | 1 |
| 4 | Irakli Okruashvili 'Georgian Party' | 2 |
| 5 | Davit Tarkhan-Mouravi 'Alliance of Patriots of Georgia' | 5 |
| 6 | Unity Hall | 0 |
| 7 | Our Georgia | 2 |
| 8 | Shalva Natelashvili – Georgian Labour Party | 17 |
| 9 | Future Georgia | 0 |
| 10 | Christian-Democratic Party (Christian Democrats) | 2 |
| 11 | Merab Kostava Society | 0 |
| 12 | Nino Burjanadze, 'United Opposition' | 6 |
| 13 | People's Movement | 0 |
| 14 | National Democratic Party | 2 |
| 15 | Irakli Ghlonti - 'Reformers' | 0 |
| 16 | Salome Zurabishvili – 'The way of Georgia' | 0 |
| 17 | Party of People | 1 |
| 18 | Labour Council of Georgia | 0 |
| 19 | People's Party | 1 |
| 20 | Freedom – Way of Zviad Gamsakhurdia | 1 |
| 21 | Election Bloc 'Non-parliamentary Opposition' (Kakha Kukava, | 0 |
| 22 | Election Bloc 'Georgian Dream' (Georgian Dream, Conservative | 584 |
| 23 | Election Bloc 'Self-Governance to the People' ('Movement for | 1 |
| 24 | Election Bloc 'United National Movement' ('United National M | 84 |
| 25 | Other (please specify) | 69 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 403 |
| 97 | Refused | 300 |
| 990 | NAP, other countries | 50181 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 784 | 50884 | 1 | 25 |
Valid range from 1 to 25
HR_PRTY Country specific party voted for in last general election: Croatia
| Value 221222 | Frequency | |
|---|---|---|
| 1 | Croatian Democratic Union (Conservative) - HDZ | 191 |
| 2 | Social Democratic Party (Social-Democrat) - SDP | 169 |
| 3 | Croatian Party of Rights (Right, Conservative) - HSP | 7 |
| 4 | Croatian Peasant Party (Center) - HSS | 10 |
| 5 | Croatian People's Party (Center) - HNS | 5 |
| 6 | Croatian Social Liberal Party (Liberal) - HSLS | 0 |
| 7 | Istrian Democratic Assembly (Regional) - IDS | 19 |
| 8 | Croatian Party of Pensioners - HSU | 5 |
| 9 | Croatian Democratic Union of Slavonija and Baranja - HDSSB | 0 |
| 10 | Bridge of independent lists - MOST | 74 |
| 11 | Living wall - Živi zid | 20 |
| 12 | Bandiæ Milan 365 - Party of labour and solidarity | 11 |
| 95 | Other Party | 19 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 259 |
| 97 | Refused | 178 |
| 99 | No answer | 33 |
| 990 | NAP, other countries | 50668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 530 | 51138 | 1 | 95 |
Valid range from 1 to 95
HU_PRTY Country specific party voted for in last general election: Hungary
| Value 222221 | Frequency | |
|---|---|---|
| 1 | Hungarian Civic Alliance-Christian Democratic People's Party | 301 |
| 2 | Hungarian Socialist Party - MSZP-DK (EgyĂĽtt-PM-MLP) | 104 |
| 3 | Movement for a Better Hungary - Jobbik (Magyarorszagert Mozg | 94 |
| 4 | Politics Can Be Different - LMP (Lehet Mas a Politika) | 6 |
| 96 | Invalid ballot | 2 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 304 |
| 97 | Refused | 157 |
| 99 | No answer | 35 |
| 990 | NAP, other countries | 50665 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 507 | 51161 | 1 | 96 |
Valid range from 1 to 96
IL_PRTY Country specific party voted for in last general election: Israel
| Value 223220 | Frequency | |
|---|---|---|
| 1 | Likud | 266 |
| 2 | HaMahane HaTzioni | 145 |
| 3 | Kulanu | 62 |
| 4 | Yesh Atid | 91 |
| 5 | The Jewish Home | 39 |
| 6 | Yisrael Beiteinu | 37 |
| 7 | United Torah Judaism | 46 |
| 8 | Shas | 30 |
| 9 | Meretz | 49 |
| 10 | Yachad | 7 |
| 11 | The Joint List | 126 |
| 12 | The Arab List | 3 |
| 13 | Ale Yarok | 10 |
| 95 | Other party | 6 |
| 96 | Invalid ballot | 4 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 154 |
| 97 | Refused | 93 |
| 99 | No answer | 80 |
| 990 | NAP, other countries | 50420 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 921 | 50747 | 1 | 96 |
Valid range from 1 to 96
IN_PRTY Country specific party voted for in last general election: India
| Value 224219 | Frequency | |
|---|---|---|
| 1 | Congress + | 279 |
| 2 | BJP + | 533 |
| 3 | Left Front / Communist Party | 13 |
| 4 | Third Front | 18 |
| 5 | Regional Party | 202 |
| 6 | Others | 27 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 101 |
| 99 | No answer | 163 |
| 990 | NAP, other countries | 50332 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1072 | 50596 | 1 | 6 |
Valid range from 1 to 6
IS_PRTY Country specific party voted for in last general election: Iceland
| Value 225218 | Frequency | |
|---|---|---|
| 1 | People's front of Iceland - R | 2 |
| 2 | Bright Future - A | 62 |
| 3 | Dawn - P | 12 |
| 4 | Households Party - I | 3 |
| 5 | Sturla JĂłnsson - K | 2 |
| 6 | Progressive Party - B | 132 |
| 7 | Right Green People's Party - G | 5 |
| 8 | Humanist Party - H | 0 |
| 9 | Rural Party - M | 0 |
| 10 | Democracy Watch - L | 9 |
| 11 | Pirate Party - Ăž | 42 |
| 12 | Rainbow - J | 4 |
| 13 | Social Democratic Alliance - S | 130 |
| 14 | Independence Party - D | 189 |
| 15 | Left-Green Movement - V | 95 |
| 95 | Other party | 1 |
| 96 | Invalid ballot | 46 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 161 |
| 97 | Refused | 171 |
| 99 | No answer | 60 |
| 990 | NAP, other countries | 50542 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 734 | 50934 | 1 | 96 |
Valid range from 1 to 96
JP_PRTY Country specific party voted for in last general election: Japan
| Value 226217 | Frequency | |
|---|---|---|
| 1 | Liberal Democratic Party of Japan | 524 |
| 2 | The Democratic Party of Japan | 203 |
| 3 | Japan Innovation Party | 95 |
| 4 | Komeito | 73 |
| 5 | The Party for Future Generations | 4 |
| 6 | Japanese Communist Party | 71 |
| 7 | The People's Life Party | 8 |
| 8 | Social Democratic Party | 15 |
| 9 | New Renaissance Party | 1 |
| 10 | The Happiness Realization Party | 0 |
| 11 | Shijiseitou Nashi | 9 |
| 95 | Other Party | 13 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 492 |
| 99 | No answer | 65 |
| 990 | NAP, other countries | 50095 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1016 | 50652 | 1 | 95 |
Valid range from 1 to 95
LT_PRTY Country specific party voted for in last general election: Lithuania
| Value 227216 | Frequency | |
|---|---|---|
| 1 | Labour Party-DP | 84 |
| 2 | Christian Party-KP | 13 |
| 3 | Liberal and Centre Union-LiCS | 45 |
| 4 | Electoral Action of Lithuanian Poles-LLRA | 33 |
| 5 | Liberal Movement of Lithuanian Republic-LRLS | 27 |
| 6 | Lithuanian Social Democratic Party-LSDP | 181 |
| 7 | Lithuanian Peasants and Greens Union-LVŽS | 28 |
| 8 | Party “Order and Justice”-TT | 49 |
| 9 | Political Party “The Way of Courage”-DK | 7 |
| 10 | Political Party “Union Yes”-TAIP | 0 |
| 11 | Socialist People's Front-SLF | 0 |
| 12 | Homeland Union – Lithuanian Christian Democrats-TS-LKD | 48 |
| 95 | Other | 15 |
| 96 | Invalid ballot | 12 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 364 |
| 97 | Refused | 219 |
| 99 | No answer | 2 |
| 990 | NAP, other countries | 50541 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 542 | 51126 | 1 | 96 |
Valid range from 1 to 96
LV_PRTY Country specific party voted for in last general election: Latvia
| Value 228215 | Frequency | |
|---|---|---|
| 1 | For Latvia's development | 4 |
| 2 | Sovereignty | 0 |
| 3 | Party 'Freedom. Free from fear, hate and anger' | 0 |
| 4 | Party 'Unity' | 139 |
| 5 | Political party 'Growth' | 0 |
| 6 | Party 'United for Latvia' | 2 |
| 7 | National Alliance - 'All for Latvia!' - For Fatherland and F | 70 |
| 8 | Latvian Association of Regions | 15 |
| 9 | New Conservative Party | 3 |
| 10 | Latvian Russian Union | 2 |
| 11 | Social-democratic party 'Harmony' | 92 |
| 12 | Union of Greens and Farmers | 121 |
| 13 | For Latvia from the Heart | 10 |
| 95 | Other party | 0 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 336 |
| 97 | Refused | 50 |
| 98 | Don't know, don't remember | 158 |
| 990 | NAP, other countries | 50666 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 458 | 51210 | 1 | 13 |
Valid range from 1 to 95
MX_PRTY Country specific party voted for in last general election: Mexico
| Value 229214 | Frequency | |
|---|---|---|
| 1 | National Action Party - PAN | 206 |
| 2 | Institutional Revolutionary Party - PRI | 243 |
| 3 | Democratic Revolution Party - PRD | 116 |
| 4 | Labour Party - PT | 28 |
| 5 | Environmentalist Green Party - PVEM | 28 |
| 6 | Convergence | 2 |
| 7 | Citizen Movement - MC | 62 |
| 8 | New Alliance Party - PANAL | 9 |
| 95 | Other Party | 34 |
| 96 | Invalid ballot | 39 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 332 |
| 97 | Refused | 3 |
| 99 | No answer | 39 |
| 990 | NAP, other countries | 50527 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 767 | 50901 | 1 | 96 |
Valid range from 1 to 96
NO_PRTY Country specific party voted for in last general election: Norway
| Value 230213 | Frequency | |
|---|---|---|
| 1 | Labour Party - DNA | 404 |
| 2 | Progress Party - FRP | 127 |
| 3 | Conservative Party - H | 351 |
| 4 | Christian Democratic Party - KrF | 64 |
| 5 | The Green Party - MDG | 31 |
| 6 | The Party Red | 10 |
| 7 | Centre Party - SP | 67 |
| 8 | Socialist Left - SV | 51 |
| 9 | Liberal Party - V | 73 |
| 95 | Other Party | 12 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 245 |
| 98 | Don't know, don't remember | 57 |
| 99 | No answer | 58 |
| 990 | NAP, other countries | 50118 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1190 | 50478 | 1 | 95 |
Valid range from 1 to 95
NZ_PRTY Country specific party voted for in last general election: New Zealand
| Value 231212 | Frequency | |
|---|---|---|
| 1 | Labour | 154 |
| 2 | National | 320 |
| 3 | Green | 63 |
| 4 | NZFirst | 51 |
| 5 | ACT | 2 |
| 6 | United Future | 1 |
| 7 | Maori Party | 6 |
| 8 | Internet Mana | 3 |
| 95 | Other Party | 13 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 31 |
| 99 | No answer | 257 |
| 990 | NAP, other countries | 50767 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 613 | 51055 | 1 | 95 |
Valid range from 1 to 95
PH_PRTY Country specific party voted for in last general election: Philippines
| Value 232211 | Frequency | |
|---|---|---|
| 990 | Not available;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
PL_PRTY Country specific party voted for in last general election: Poland
| Value 233210 | Frequency | |
|---|---|---|
| 1 | Law and Justice Party - PIS | 394 |
| 2 | Poland Comes First - PJN | 10 |
| 3 | Democratic Left Alliance - SLD | 81 |
| 4 | Palikot's Movement | 29 |
| 5 | Polish Peasants Party - PSL | 119 |
| 6 | Polish Labour Party (Sierpien 80) | 0 |
| 7 | Civic Platform of Republic of Poland - PO | 450 |
| 8 | Our Home Poland - Andrzej Lepper's Self-defense | 3 |
| 9 | Janusz Korwin-Mikke New Right | 16 |
| 10 | Right Wing | 7 |
| 11 | German Minority | 3 |
| 95 | Other Party | 11 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 596 |
| 98 | Hard to say, don't remember | 356 |
| 99 | No answer | 37 |
| 990 | NAP, other countries | 49556 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1123 | 50545 | 1 | 95 |
Valid range from 1 to 95
RU_PRTY Country specific party voted for in last general election: Russia
| Value 234209 | Frequency | |
|---|---|---|
| 1 | Fair Russia | 46 |
| 2 | Liberal Democratic Party of Russia | 55 |
| 3 | Party of Patriots of Russia | 5 |
| 4 | Russian Communist Party | 104 |
| 5 | Russian United Democratic Party Yabloko | 14 |
| 6 | United Russia | 629 |
| 7 | Party 'Pravoe delo' | 8 |
| 96 | Invalid ballot | 2 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 733 |
| 990 | NAP, other countries | 50072 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 863 | 50805 | 1 | 96 |
Valid range from 1 to 96
SE_PRTY Country specific party voted for in last general election: Sweden
| Value 235208 | Frequency | |
|---|---|---|
| 1 | Centre Party - C | 61 |
| 2 | Christian Democrats - KD | 39 |
| 3 | Liberal Party - L | 58 |
| 4 | Green Party - MP | 93 |
| 5 | Conservative Party - M | 248 |
| 6 | Social Democratic Party - S | 315 |
| 7 | Sweden Democrats - SD | 104 |
| 8 | Left Party - V | 66 |
| 95 | Other Party | 34 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 89 |
| 99 | No answer | 55 |
| 990 | NAP, other countries | 50506 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1018 | 50650 | 1 | 95 |
Valid range from 1 to 95
SI_PRTY Country specific party voted for in last general election: Slovenia
| Value 236207 | Frequency | |
|---|---|---|
| 1 | Democratic Party of Slovenian Pensioners - DESUS | 46 |
| 2 | Liberal Democrats - LDS | 0 |
| 3 | Slovenian People's Party - SLS | 26 |
| 4 | Slovenian National Party - SNS | 4 |
| 5 | Slovenian Democratic Party - SDS | 96 |
| 6 | New Slovenia - NSI | 26 |
| 7 | Social Democrats - SD | 60 |
| 8 | New Politics - ZARES | 0 |
| 9 | Positive Slovenia - PS | 8 |
| 10 | Gregor Virant's Citizens' List - DLGV | 0 |
| 11 | Party for sustainable development - TRS | 0 |
| 12 | Party of Miro Cerar / Party of Modern Center | 182 |
| 13 | Alenka Bratusek Alliance | 8 |
| 14 | United Left | 23 |
| 95 | Other Party | 4 |
| 96 | Invalid ballot | 6 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 307 |
| 97 | Refused | 82 |
| 99 | No answer | 145 |
| 990 | NAP, other countries | 50645 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 489 | 51179 | 1 | 96 |
Valid range from 1 to 96
SK_PRTY Country specific party voted for in last general election: Slovak Republic
| Value 237206 | Frequency | |
|---|---|---|
| 1 | TIP | 2 |
| 2 | Party of modern Slovakia - SMS | 1 |
| 3 | Ordinary people and independent personalities - OL'ANO-NOVA | 49 |
| 4 | DS - L'udo KanĂk | 0 |
| 5 | Chance | 5 |
| 6 | We are family - Boris Kollár | 40 |
| 7 | Green party of Slovkia - SZS | 0 |
| 8 | Coalition together for Slovakia | 1 |
| 9 | Hungarian Christian democratic alliance | 4 |
| 10 | Defiance | 0 |
| 11 | Bridge - MOST-HĂŤD | 45 |
| 12 | Slovak national party - SNS | 61 |
| 13 | Courage - Great national and pro-russian coalition | 0 |
| 14 | Communist party of Slovakia - KSS | 4 |
| 15 | Slovak democratic and Christian union - Democratic party - ( | 5 |
| 16 | Social democracy - SMER-SD | 225 |
| 17 | Christian democratic movement - KDH | 33 |
| 18 | SKOK! | 5 |
| 19 | Kotleba - People's party Our Slovakia - L'SNS | 25 |
| 20 | #SIET | 28 |
| 21 | Party of Hungarian community - SMK | 28 |
| 22 | Direct democracy - PD | 1 |
| 23 | Freedom and Solidarity - SaS | 56 |
| 96 | Invalid ballot | 2 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 352 |
| 97 | Refused | 120 |
| 98 | Does not know | 37 |
| 99 | No answer | 21 |
| 990 | NAP, other countries | 50518 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 620 | 51048 | 1 | 96 |
Valid range from 1 to 96
SR_PRTY Country specific party voted for in last general election: Suriname
| Value 238205 | Frequency | |
|---|---|---|
| 1 | Alternative Combination – AC | 73 |
| 2 | A Nyun Combinatie | 10 |
| 3 | Amazone Party Suriname - APS | 5 |
| 4 | Democracy and Development in Unity - DOE | 22 |
| 5 | Sustainable and Righteous Living - DRS | 4 |
| 6 | Mega Front | 5 |
| 7 | National Democratic Party – NDP | 375 |
| 8 | National Development Party – NOP | 4 |
| 9 | Progressive Workers' and Farmers' Union - PALU | 5 |
| 11 | V7 (political alliance) | 230 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 200 |
| 97 | Refused | 206 |
| 990 | NAP, other countries | 50529 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 733 | 50935 | 1 | 11 |
Valid range from 1 to 11
TW_PRTY Country specific party voted for in last general election: Taiwan
| Value 239204 | Frequency | |
|---|---|---|
| 1 | Kuo Min Tang - KMT | 666 |
| 2 | Democratic Progressive Party - DPP | 460 |
| 3 | People First Party - PFP | 56 |
| 4 | Taiwan Solidarity Union - TSU | 0 |
| 6 | New Party | 0 |
| 96 | Invalid ballot | 27 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 822 |
| 990 | NAP, other countries | 49637 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1209 | 50459 | 1 | 96 |
Valid range from 1 to 96
US_PRTY Country specific party voted for in last general election: United States
| Value 240203 | Frequency | |
|---|---|---|
| 2 | Democrat (Obama) | 576 |
| 4 | Other Candidate | 19 |
| 6 | Republican (Romney) | 299 |
| 0 | NAP, Did not vote in last election | 502 |
| 99 | No answer | 81 |
| 990 | NAP, other countries | 50191 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 894 | 50774 | 2 | 6 |
Valid range from 2 to 6
VE_PRTY Country specific party voted for in last general election: Venezuela
| Value 241202 | Frequency | |
|---|---|---|
| 1 | United Socialist Party of Venezuela - PSUV | 356 |
| 2 | Homeland for All - PPT | 5 |
| 3 | We Can - PODEMOS | 9 |
| 4 | TUPAMAROS | 4 |
| 5 | MESA UNIDAD – MUD | 187 |
| 95 | Other Party | 26 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 337 |
| 99 | No answer | 83 |
| 990 | NAP, other countries | 50661 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 587 | 51081 | 1 | 95 |
Valid range from 1 to 95
ZA_PRTY Country specific party voted for in last general election: South Africa
| Value 242201 | Frequency | |
|---|---|---|
| 1 | African Christian Democratic Party (ACDP) | 9 |
| 2 | African National Congress (ANC) | 1252 |
| 3 | Agang South Africa | 3 |
| 4 | Azanian People’s Organisation (AZAPO) | 1 |
| 5 | Congress of the People (Cope) | 9 |
| 6 | Democratic Party / Alliance (DA/DP) | 497 |
| 7 | Economic Freedom Fighters (EFF) | 41 |
| 8 | Freedom Front (FF/VF) | 8 |
| 9 | Inkatha Freedom Party (IFP) | 10 |
| 10 | Minority Front (MF) | 9 |
| 11 | New Freedom Party (NFP) | 6 |
| 12 | Pan-Africanist Congress (PAC) | 2 |
| 13 | United Christian Democratic Party (UCDP) | 0 |
| 14 | United Democratic Movement (UDM) | 6 |
| 95 | Other Party | 9 |
| 96 | Uncertain | 13 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 1021 |
| 99 | No answer | 44 |
| 990 | NAP, other countries | 48728 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1875 | 49793 | 1 | 96 |
Valid range from 1 to 96
PARTY_LR R: Party voted for in last general election: left-right (derived from nat_PRTY)
| Value 243200 | Frequency | |
|---|---|---|
| 1 | Far left (communist etc.) | 1774 |
| 2 | Left, center left | 7056 |
| 3 | Center, liberal | 7137 |
| 4 | Right, conservative | 8010 |
| 5 | Far right (fascist etc.) | 889 |
| 6 | Other | 777 |
| 94 | Independent candidate | 22 |
| 96 | Invalid ballot | 621 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE);NAV (CN,GB,GE,PH,SR,TW) | 20080 |
| 97 | Refused | 1459 |
| 98 | Insufficient information to code into scheme | 687 |
| 99 | No answer;SK: No answer, don’t know | 3156 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 26286 | 25382 | 1 | 96 |
Valid range from 1 to 96
AT_ETHN1 Country specific ethnic group 1: Austria
| Value 244199 | Frequency | |
|---|---|---|
| 1 | Both parents born in Austria | 837 |
| 2 | One parent born abroad | 61 |
| 3 | Both parents born abroad | 103 |
| 0 | NAP, other countries | 50667 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1001 | 50667 | 1 | 3 |
Valid range from 1 to 3
AT_ETHN2 Country specific ethnic group 2: Austria
| Value 245198 | Frequency | |
|---|---|---|
| 0 | NAV;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
AU_ETHN1 Country specific ethnic group 1: Australia
| Value 246197 | Frequency | |
|---|---|---|
| 1 | AU born: + Both parents also AU born | 672 |
| 2 | AU born: 1 or 2 parents born in English-speaking country | 91 |
| 3 | AU born: 1 or 2 parents born in non-English-speaking country | 106 |
| 4 | Born in English speaking country | 114 |
| 5 | Born in non-English speaking country | 142 |
| 6 | Aboriginal or Torres Strait Islander | 28 |
| 7 | Born in Australia - no information on parents | 3 |
| 0 | NAP, other countries | 50457 |
| 99 | No answer | 55 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1156 | 50512 | 1 | 7 |
Valid range from 1 to 7
AU_ETHN2 Country specific ethnic group 2: Australia
| Value 247196 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
BE_ETHN1 Country specific ethnic group 1: Belgium
| Value 248195 | Frequency | |
|---|---|---|
| 1 | Belgians | 1647 |
| 2 | Flemings | 267 |
| 3 | Walloons | 46 |
| 4 | Brussels | 85 |
| 5 | Other | 44 |
| 0 | NAP, other countries | 49527 |
| 97 | Three ethnic groups or more | 7 |
| 99 | No answer | 45 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2089 | 49579 | 1 | 5 |
Valid range from 1 to 5
BE_ETHN2 Country specific ethnic group 2: Belgium
| Value 249194 | Frequency | |
|---|---|---|
| 1 | Belgians | 0 |
| 2 | Flemings | 441 |
| 3 | Walloons | 432 |
| 4 | Brussels | 290 |
| 5 | Other | 117 |
| 0 | NAP, other countries | 49527 |
| 97 | Three ethnic groups or more | 7 |
| 99 | No (second) answer | 854 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1280 | 50388 | 2 | 5 |
Valid range from 1 to 5
CH_ETHN1 Country specific ethnic group 1: Switzerland
| Value 250193 | Frequency | |
|---|---|---|
| 0 | Not available;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
CH_ETHN2 Country specific ethnic group 2: Switzerland
| Value 251192 | Frequency | |
|---|---|---|
| 0 | Not available;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
CL_ETHN1 Country specific ethnic group 1: Chile
| Value 252191 | Frequency | |
|---|---|---|
| 1 | Alacalufe (Kawashkar) | 1 |
| 2 | Atacameño | 2 |
| 3 | Aimara | 8 |
| 4 | Colla | 0 |
| 5 | Mapuche | 133 |
| 6 | Quechua | 1 |
| 7 | Rapa Nui | 0 |
| 8 | Yámana (Yagán) | 0 |
| 9 | Diaguita | 3 |
| 96 | None of these | 1231 |
| 0 | NAP, other countries | 50235 |
| 99 | No answer | 54 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1379 | 50289 | 1 | 96 |
Valid range from 1 to 96
CL_ETHN2 Country specific ethnic group 2: Chile
| Value 253190 | Frequency | |
|---|---|---|
| 0 | Not available;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
CN_ETHN1 Country specific ethnic group 1: China
| Value 254189 | Frequency | |
|---|---|---|
| 1 | Han | 1646 |
| 2 | Mongolian | 5 |
| 3 | Manchu | 18 |
| 4 | Hui | 37 |
| 6 | Zhuang | 29 |
| 8 | Other | 58 |
| 0 | NAP, other countries | 49873 |
| 99 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1793 | 49875 | 1 | 8 |
Valid range from 1 to 8
CN_ETHN2 Country specific ethnic group 2: China
| Value 255188 | Frequency | |
|---|---|---|
| 0 | NAV;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
CZ_ETHN1 Country specific ethnic group 1: Czech Republic
| Value 256187 | Frequency | |
|---|---|---|
| 1 | Czech | 1365 |
| 2 | Moravian | 7 |
| 3 | Silesian | 0 |
| 4 | Slovak | 27 |
| 5 | Polish | 4 |
| 6 | German | 4 |
| 7 | Roma | 1 |
| 8 | Ukrainian | 5 |
| 9 | Hungarian | 2 |
| 10 | Vietnameese | 0 |
| 11 | Russian | 1 |
| 12 | Other | 2 |
| 0 | NAP, other countries | 50233 |
| 99 | No answer | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1418 | 50250 | 1 | 12 |
Valid range from 1 to 12
CZ_ETHN2 Country specific ethnic group 2: Czech Republic
| Value 257186 | Frequency | |
|---|---|---|
| 1 | Czech | 15 |
| 2 | Moravian | 3 |
| 3 | Silesian | 0 |
| 4 | Slovak | 7 |
| 5 | Polish | 1 |
| 6 | German | 2 |
| 7 | Roma | 2 |
| 8 | Ukrainian | 2 |
| 9 | Hungarian | 2 |
| 10 | Vietnameese | 0 |
| 11 | Russian | 0 |
| 12 | Other | 1 |
| 0 | NAP, other countries | 50233 |
| 99 | No (second) answer | 1400 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 35 | 51633 | 1 | 12 |
Valid range from 1 to 12
DE_ETHN1 Country specific ethnic group 1: Germany
| Value 258185 | Frequency | |
|---|---|---|
| 4 | Afghanistan | 1 |
| 8 | Albania | 1 |
| 40 | Austria | 5 |
| 56 | Belgium | 1 |
| 70 | Bosnia and Herzegovina | 2 |
| 100 | Bulgaria | 1 |
| 156 | China | 1 |
| 191 | Croatia | 2 |
| 232 | Eritrea | 1 |
| 250 | France | 3 |
| 276 | Germany | 1563 |
| 300 | Greece | 1 |
| 324 | Guinea | 1 |
| 348 | Hungary | 2 |
| 356 | India | 1 |
| 380 | Italy | 10 |
| 392 | Japan | 1 |
| 410 | Korea, Republic of | 2 |
| 428 | Latvia | 1 |
| 504 | Morocco | 1 |
| 528 | Netherlands | 4 |
| 616 | Poland | 9 |
| 642 | Romania | 3 |
| 643 | Russian Federation | 3 |
| 688 | Serbia | 1 |
| 724 | Spain | 1 |
| 756 | Switzerland | 1 |
| 760 | Syrian Arab Republic | 3 |
| 792 | Turkey | 11 |
| 804 | Ukraine | 4 |
| 807 | Macedonia, the former Yugoslav Republic of | 1 |
| 826 | United Kingdom | 1 |
| 840 | United States | 1 |
| 903 | Kurds | 1 |
| 906 | Chechnya | 1 |
| 993 | Arabs | 1 |
| 994 | Africa | 1 |
| 998 | None | 26 |
| 0 | NAP, other countries | 49981 |
| 999 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1674 | 49994 | 4 | 998 |
Valid range from 4 to 998
DE_ETHN2 Country specific ethnic group 2: Germany
| Value 259184 | Frequency | |
|---|---|---|
| 40 | Austria | 20 |
| 76 | Brazil | 1 |
| 100 | Bulgaria | 1 |
| 112 | Belarus | 1 |
| 124 | Canada | 1 |
| 178 | Congo | 1 |
| 191 | Croatia | 7 |
| 250 | France | 1 |
| 300 | Greece | 1 |
| 348 | Hungary | 3 |
| 380 | Italy | 11 |
| 417 | Kyrgyzstan | 1 |
| 504 | Morocco | 1 |
| 528 | Netherlands | 3 |
| 566 | Nigeria | 1 |
| 616 | Poland | 11 |
| 642 | Romania | 3 |
| 643 | Russian Federation | 9 |
| 688 | Serbia | 1 |
| 724 | Spain | 1 |
| 792 | Turkey | 10 |
| 840 | United States | 1 |
| 903 | Kurds | 1 |
| 905 | England | 1 |
| 996 | South America | 1 |
| 0 | NAP, other countries | 49981 |
| 998 | No second ethnic group | 1581 |
| 999 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 93 | 51575 | 40 | 996 |
Valid range from 40 to 996
DK_ETHN1 Country specific ethnic group 1: Denmark
| Value 260183 | Frequency | |
|---|---|---|
| 1 | Danes | 815 |
| 2 | Migrants group | 4 |
| 3 | Religious group | 10 |
| 4 | None/other group | 52 |
| 0 | NAP, other countries | 50530 |
| 98 | Don't know | 13 |
| 99 | NA incl. identifying with two groups (see DK_ETHN2) | 244 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 881 | 50787 | 1 | 4 |
Valid range from 1 to 4
DK_ETHN2 Country specific ethnic group 2: Denmark
| Value 261182 | Frequency | |
|---|---|---|
| 1 | Dane and immigrant or religious group | 113 |
| 2 | Immigrant and religious group | 0 |
| 3 | Other | 46 |
| 0 | NAP, other countries | 50530 |
| 99 | NA incl. identifying with max. one group (see DK_ETHN1) | 979 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 159 | 51509 | 1 | 3 |
Valid range from 1 to 3
EE_ETHN1 Country specific ethnic group 1: Estonia
| Value 262181 | Frequency | |
|---|---|---|
| 1 | Estonian | 820 |
| 2 | Russian | 352 |
| 3 | Ukrainian | 21 |
| 4 | Belarusian | 9 |
| 5 | Other ethnic group | 5 |
| 0 | NAP, other countries | 50461 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1207 | 50461 | 1 | 5 |
Valid range from 1 to 5
EE_ETHN2 Country specific ethnic group 2: Estonia
| Value 263180 | Frequency | |
|---|---|---|
| 0 | NAP, other countries | 50461 |
| 99 | No second ethnic group mentioned | 1207 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
ES_ETHN1 Country specific ethnic group 1: Spain
| Value 264179 | Frequency | |
|---|---|---|
| 1 | Spanish | 1353 |
| 2 | Andalusian | 35 |
| 3 | Aragonese | 12 |
| 4 | Asturian | 26 |
| 5 | Balearic | 7 |
| 6 | Canarian | 18 |
| 7 | Cantabrian | 1 |
| 8 | Castilian-leonese | 14 |
| 9 | Castilian-manchego | 8 |
| 10 | Catalan | 78 |
| 11 | Ceuta | 0 |
| 12 | Extremadura | 6 |
| 13 | Galician | 41 |
| 14 | From Madrid | 20 |
| 15 | From Melilla | 0 |
| 16 | Murcian | 4 |
| 17 | Navarrese | 23 |
| 18 | Riojan | 7 |
| 19 | Valencian | 14 |
| 20 | Basque | 39 |
| 21 | European | 2 |
| 22 | Respondent mentions the country of birth | 53 |
| 23 | Respondent mentions the province of birth | 4 |
| 24 | Respondent mentions lower territorial levels than province | 5 |
| 25 | World citizens | 16 |
| 26 | Foreigner | 1 |
| 95 | Other option | 1 |
| 96 | None | 1 |
| 0 | NAP, other countries | 49834 |
| 98 | Don't know | 19 |
| 99 | No answer | 26 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1789 | 49879 | 1 | 96 |
Valid range from 1 to 96
ES_ETHN2 Country specific ethnic group 2: Spain
| Value 265178 | Frequency | |
|---|---|---|
| 2 | Andalusian | 296 |
| 3 | Aragonese | 40 |
| 4 | Asturian | 11 |
| 5 | Balearic | 15 |
| 6 | Canarian | 31 |
| 7 | Cantabrian | 21 |
| 8 | Castilian-leonese | 33 |
| 9 | Castilian-manchego | 33 |
| 10 | Catalan | 100 |
| 11 | Ceuta | 5 |
| 12 | Extremadura | 45 |
| 13 | Galician | 75 |
| 14 | From Madrid | 79 |
| 15 | From Melilla | 0 |
| 16 | Murcian | 36 |
| 17 | Navarrese | 3 |
| 18 | Riojan | 7 |
| 19 | Valencian | 92 |
| 20 | Basque | 31 |
| 21 | European | 2 |
| 22 | Respondent mentions the country of birth | 37 |
| 23 | Respondent mentions the province of birth | 23 |
| 24 | Respondent mentions lower territorial levels than province | 15 |
| 25 | World citizens | 6 |
| 26 | Foreigner | 0 |
| 95 | Other option | 3 |
| 96 | None | 0 |
| 0 | NAP, other countries | 49834 |
| 98 | Don't know | 6 |
| 99 | No answer, no second ethnic group | 789 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1039 | 50629 | 2 | 95 |
Valid range from 2 to 96
FI_ETHN1 Country specific ethnic group 1: Finland
| Value 266177 | Frequency | |
|---|---|---|
| 1 | Finnish-speakers | 1087 |
| 2 | Swedish-speakers | 71 |
| 3 | Sami | 3 |
| 4 | Roma | 0 |
| 5 | Estonians | 6 |
| 6 | Russians | 6 |
| 7 | Swedes | 0 |
| 8 | Somali | 1 |
| 9 | Immigrants | 12 |
| 10 | Returnees | 2 |
| 11 | Other, please specify | 5 |
| 0 | NAP, other countries | 50465 |
| 99 | No answer | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1193 | 50475 | 1 | 11 |
Valid range from 1 to 11
FI_ETHN2 Country specific ethnic group 2: Finland
| Value 267176 | Frequency | |
|---|---|---|
| 1 | Finnish-speakers | 0 |
| 2 | Swedish-speakers | 23 |
| 3 | Sami | 1 |
| 4 | Roma | 0 |
| 5 | Estonians | 0 |
| 6 | Russians | 5 |
| 7 | Swedes | 1 |
| 8 | Somali | 1 |
| 9 | Immigrants | 3 |
| 10 | Returnees | 5 |
| 11 | Other, please specify | 6 |
| 0 | NAP, other countries | 50465 |
| 99 | No answer; no second ethnic group | 1158 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45 | 51623 | 2 | 11 |
Valid range from 1 to 11
FR_ETHN1 Country specific ethnic group 1: France
| Value 268175 | Frequency | |
|---|---|---|
| 1 | Sub-Saharan Africa | 10 |
| 2 | Central America or south America | 4 |
| 3 | Antilles or Caribbean | 12 |
| 4 | Asia | 9 |
| 5 | Europe | 1009 |
| 6 | Maghreb | 50 |
| 7 | Indian subcontinent | 0 |
| 8 | Other | 60 |
| 0 | NAP, other countries | 50444 |
| 99 | No answer | 70 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1154 | 50514 | 1 | 8 |
Valid range from 1 to 8
FR_ETHN2 Country specific ethnic group 2: France
| Value 269174 | Frequency | |
|---|---|---|
| 1 | Sub-Saharan Africa | 0 |
| 2 | Central America or south America | 0 |
| 3 | Antilles or Caribbean | 0 |
| 4 | Asia | 1 |
| 5 | Europe | 4 |
| 6 | Maghreb | 2 |
| 7 | Indian subcontinent | 0 |
| 8 | Other | 10 |
| 0 | NAP, other countries | 50444 |
| 99 | No answer, no second ethnic group | 1207 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 17 | 51651 | 4 | 8 |
Valid range from 1 to 8
GB_ETHN1 Country specific ethnic group 1: Great Britain (GB-GBN)
| Value 270173 | Frequency | |
|---|---|---|
| 1 | Black: of African origin | 27 |
| 2 | Black: of Caribbean origin | 18 |
| 3 | Black: of other origin | 3 |
| 4 | Asian: of Indian origin | 44 |
| 5 | Asian: of Pakistani origin | 20 |
| 6 | Asian: of Bangladeshi origin | 5 |
| 7 | Asian: of Chinese origin | 7 |
| 8 | Asian: of other origin | 16 |
| 9 | White: of any origin | 1618 |
| 10 | Mixed origin | 18 |
| 11 | Other | 17 |
| 0 | NAP, other countries | 49875 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1793 | 49875 | 1 | 11 |
Valid range from 1 to 11
GB_ETHN2 Country specific ethnic group 2: Great Britain (GB-GBN)
| Value 271172 | Frequency | |
|---|---|---|
| 0 | Not available;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
GE_ETHN1 Country specific ethnic group 1: Georgia
| Value 272171 | Frequency | |
|---|---|---|
| 1 | Georgian | 1344 |
| 2 | Azerbajan | 72 |
| 3 | Armenian | 49 |
| 4 | Other Caucasian ethnic groups (Ossetia, Abkhazian, Kist) | 8 |
| 5 | Russian | 7 |
| 7 | Greek | 2 |
| 8 | Ukrainian | 4 |
| 11 | Other | 1 |
| 0 | NAP, other countries | 50181 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1487 | 50181 | 1 | 11 |
Valid range from 1 to 11
GE_ETHN2 Country specific ethnic group 2: Georgia
| Value 273170 | Frequency | |
|---|---|---|
| 3 | Armenian | 2 |
| 5 | Russian | 1 |
| 0 | NAP, other countries | 50181 |
| 99 | No answer; no second ethnic group | 1484 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 3 | 51665 | 3 | 5 |
Valid range from 3 to 5
HR_ETHN1 Country specific ethnic group 1: Croatia
| Value 274169 | Frequency | |
|---|---|---|
| 1 | Croat | 893 |
| 2 | Serb | 41 |
| 3 | Bosinan | 11 |
| 4 | Albanian | 2 |
| 5 | Montenegrian | 0 |
| 6 | Czech | 0 |
| 7 | Hungarian | 5 |
| 8 | Macedonian | 0 |
| 9 | German | 0 |
| 10 | Roma | 1 |
| 11 | Russian | 0 |
| 12 | Slovak | 0 |
| 13 | Slovenian | 3 |
| 14 | Italian | 0 |
| 15 | Jew | 0 |
| 17 | Undecided | 3 |
| 0 | NAP, other countries | 50668 |
| 97 | Refused | 35 |
| 99 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 959 | 50709 | 1 | 17 |
Valid range from 1 to 17
HR_ETHN2 Country specific ethnic group 2: Croatia
| Value 275168 | Frequency | |
|---|---|---|
| 1 | Croat | 4 |
| 2 | Serb | 1 |
| 3 | Bosinan | 1 |
| 4 | Albanian | 0 |
| 5 | Montenegrian | 0 |
| 6 | Czech | 1 |
| 7 | Hungarian | 0 |
| 8 | Macedonian | 0 |
| 9 | German | 0 |
| 10 | Roma | 0 |
| 11 | Russian | 0 |
| 12 | Slovak | 0 |
| 13 | Slovenian | 1 |
| 14 | Italian | 0 |
| 15 | Jew | 0 |
| 17 | Undecided | 0 |
| 0 | NAP, other countries | 50668 |
| 99 | No answer, no second ethnic group | 992 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 8 | 51660 | 1 | 13 |
Valid range from 1 to 17
HU_ETHN1 Country specific ethnic group 1: Hungary
| Value 276167 | Frequency | |
|---|---|---|
| 1 | Hungarian | 982 |
| 2 | German | 3 |
| 3 | Serb | 1 |
| 5 | Romanian | 3 |
| 7 | Roma/Gypsy | 14 |
| 0 | NAP, other countries | 50665 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 50665 | 1 | 7 |
Valid range from 1 to 7
HU_ETHN2 Country specific ethnic group 2: Hungary
| Value 277166 | Frequency | |
|---|---|---|
| 1 | Hungarian | 20 |
| 2 | German | 7 |
| 3 | Serb | 1 |
| 4 | Croatian | 1 |
| 5 | Romanian | 3 |
| 6 | Slovak | 3 |
| 7 | Roma/Gypsy | 38 |
| 0 | NAP, other countries | 50665 |
| 99 | No other nationality | 930 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 73 | 51595 | 1 | 7 |
Valid range from 1 to 7
IL_ETHN1 Country specific ethnic group 1: Israel
| Value 278165 | Frequency | |
|---|---|---|
| 1 | Israeli | 481 |
| 2 | Arab | 156 |
| 3 | Palestinian | 13 |
| 4 | Muslim | 29 |
| 5 | Jewish | 468 |
| 6 | Ashkenazi | 20 |
| 7 | Mizrahi | 5 |
| 8 | Sephardi | 5 |
| 9 | Bedouin | 1 |
| 10 | Druze | 6 |
| 11 | Ethiopian | 4 |
| 12 | Iraqi | 6 |
| 13 | Moroccan | 3 |
| 14 | Polish | 2 |
| 15 | Romanian | 1 |
| 16 | Russian | 13 |
| 17 | Ukrainian | 7 |
| 18 | Other | 10 |
| 0 | NAP, other countries | 50420 |
| 97 | Refused | 9 |
| 98 | Don't know | 3 |
| 99 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1230 | 50438 | 1 | 18 |
Valid range from 1 to 18
IL_ETHN2 Country specific ethnic group 2: Israel
| Value 279164 | Frequency | |
|---|---|---|
| 1 | Israeli | 404 |
| 2 | Arab | 37 |
| 3 | Palestinian | 55 |
| 4 | Muslim | 58 |
| 5 | Jewish | 317 |
| 6 | Ashkenazi | 87 |
| 7 | Mizrahi | 26 |
| 8 | Sephardi | 23 |
| 9 | Bedouin | 2 |
| 10 | Druze | 8 |
| 11 | Ethiopian | 2 |
| 12 | Iraqi | 3 |
| 13 | Moroccan | 10 |
| 14 | Polish | 7 |
| 15 | Romanian | 3 |
| 16 | Russian | 32 |
| 17 | Ukrainian | 5 |
| 18 | Other | 21 |
| 0 | NAP, other countries | 50420 |
| 97 | Refused | 9 |
| 98 | Don't know | 8 |
| 99 | No (second) answer | 131 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1100 | 50568 | 1 | 18 |
Valid range from 1 to 18
IN_ETHN1 Country specific ethnic group 1: India
| Value 280163 | Frequency | |
|---|---|---|
| 1 | Hindu-SC (Scheduled Caste/Dalits) | 199 |
| 2 | Hindu-ST (Scheduled Tribes) | 116 |
| 3 | Hindu-OBC (Other Backward Classes) | 474 |
| 4 | Hindu-UCH (Upper Caste Hindus) | 301 |
| 5 | Muslim Shia | 47 |
| 6 | Muslim-Sunni | 110 |
| 7 | Muslims Others | 21 |
| 8 | Christians General | 19 |
| 9 | Christians Others | 0 |
| 10 | Sikh General | 8 |
| 11 | Sikh Dalits | 5 |
| 18 | Others | 1 |
| 0 | NAP, other countries | 50332 |
| 99 | No answer | 35 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1301 | 50367 | 1 | 18 |
Valid range from 1 to 18
IN_ETHN2 Country specific ethnic group 2: India
| Value 281162 | Frequency | |
|---|---|---|
| 0 | NAV; NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
IS_ETHN1 Country specific ethnic group 1: Iceland
| Value 282161 | Frequency | |
|---|---|---|
| 1 | Yes, belonging to a national minority | 44 |
| 2 | No, not belonging to a national minority | 969 |
| 0 | NAP, other countries | 50542 |
| 97 | Refused | 55 |
| 99 | No answer | 58 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1013 | 50655 | 1 | 2 |
Valid range from 1 to 2
IS_ETHN2 Country specific ethnic group 2: Iceland
| Value 283160 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
JP_ETHN1 Country specific ethnic group 1: Japan
| Value 284159 | Frequency | |
|---|---|---|
| 1 | Japanese nationality | 1557 |
| 2 | Other | 6 |
| 0 | NAP, other countries | 50095 |
| 99 | No answer | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1563 | 50105 | 1 | 2 |
Valid range from 1 to 2
JP_ETHN2 Country specific ethnic group 2: Japan
| Value 285158 | Frequency | |
|---|---|---|
| 1 | Japanese | 1490 |
| 2 | Other | 9 |
| 0 | NAP, other countries | 50095 |
| 98 | Don't know | 53 |
| 99 | No answer | 21 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1499 | 50169 | 1 | 2 |
Valid range from 1 to 2
LT_ETHN1 Country specific ethnic group 1: Lithuania
| Value 286157 | Frequency | |
|---|---|---|
| 1 | Lithuanian | 1014 |
| 2 | Polish | 57 |
| 3 | Russian | 33 |
| 4 | Belarussian | 4 |
| 5 | Ukrainian | 1 |
| 6 | Jew | 2 |
| 7 | Latvian | 0 |
| 8 | Tatar | 1 |
| 9 | German | 3 |
| 0 | NAP, other countries | 50541 |
| 97 | Refused | 10 |
| 98 | Don't know | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1115 | 50553 | 1 | 9 |
Valid range from 1 to 9
LT_ETHN2 Country specific ethnic group 2: Lithuania
| Value 287156 | Frequency | |
|---|---|---|
| 2 | Polish | 10 |
| 3 | Russian | 9 |
| 4 | Belarussian | 1 |
| 9 | German | 1 |
| 10 | Romani | 1 |
| 11 | Spanish | 1 |
| 0 | NAP, other countries | 50541 |
| 97 | Refused | 10 |
| 99 | No answer, no second group | 1094 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 23 | 51645 | 2 | 11 |
Valid range from 2 to 11
LV_ETHN1 Country specific ethnic group 1: Latvia
| Value 288155 | Frequency | |
|---|---|---|
| 1 | Latvian | 659 |
| 2 | Russian | 254 |
| 3 | Belarussian | 16 |
| 4 | Romany | 0 |
| 5 | Israel | 1 |
| 6 | Lithuanian | 8 |
| 7 | Polish | 9 |
| 8 | Ukrainian | 13 |
| 9 | German | 1 |
| 10 | Karelian | 0 |
| 11 | Moldavian | 0 |
| 12 | Bashkir | 0 |
| 13 | Tatar | 0 |
| 14 | Armenian | 0 |
| 15 | Kyrghyz | 0 |
| 16 | Englishman | 0 |
| 17 | Latgalian | 0 |
| 19 | Italian | 0 |
| 20 | Azerbaijani | 1 |
| 21 | Greek | 0 |
| 22 | Hungarian | 1 |
| 23 | Estonian | 1 |
| 96 | No ethnic group | 28 |
| 0 | NAP, other countries | 50666 |
| 97 | Refused | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 992 | 50676 | 1 | 96 |
Valid range from 1 to 96
LV_ETHN2 Country specific ethnic group 2: Latvia
| Value 289154 | Frequency | |
|---|---|---|
| 1 | Latvian | 29 |
| 2 | Russian | 45 |
| 3 | Belarussian | 2 |
| 4 | Romany | 0 |
| 5 | Israel | 0 |
| 6 | Lithuanian | 2 |
| 7 | Polish | 1 |
| 8 | Ukrainian | 5 |
| 9 | German | 1 |
| 10 | Karelian | 0 |
| 11 | Moldavian | 0 |
| 12 | Bashkir | 0 |
| 13 | Tatar | 0 |
| 14 | Armenian | 0 |
| 15 | Kyrghyz | 0 |
| 16 | Englishman | 0 |
| 17 | Latgalian | 5 |
| 19 | Italian | 1 |
| 20 | Azerbaijani | 0 |
| 21 | Greek | 1 |
| 22 | Hungarian | 0 |
| 23 | Estonian | 0 |
| 96 | No ethnic group | 28 |
| 0 | NAP, other countries | 50666 |
| 97 | Refused | 10 |
| 99 | No second ethnic group | 872 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 120 | 51548 | 1 | 96 |
Valid range from 1 to 96
MX_ETHN1 Country specific ethnic group 1: Mexico
| Value 290153 | Frequency | |
|---|---|---|
| 1 | Huichol | 4 |
| 2 | OtomĂ | 6 |
| 3 | Maya | 2 |
| 4 | Zapoteco | 4 |
| 5 | Tarahumara | 2 |
| 6 | Mixteco | 1 |
| 7 | Not belonging to an indigenous group | 1122 |
| 0 | NAP, other countries | 50527 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1141 | 50527 | 1 | 7 |
Valid range from 1 to 7
MX_ETHN2 Country specific ethnic group 2: Mexico
| Value 291152 | Frequency | |
|---|---|---|
| 0 | Not belonging to a second indigenous group;NAP, other countr | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
NO_ETHN1 Country specific ethnic group 1: Norway
| Value 292151 | Frequency | |
|---|---|---|
| 1 | Norwegian | 1403 |
| 10 | North and West European | 0 |
| 11 | West European | 7 |
| 12 | North European (Nordic) | 23 |
| 21 | South European | 1 |
| 22 | South-East European | 6 |
| 23 | East European | 16 |
| 30 | North African, Middle Eastern and Central Asian | 0 |
| 31 | Arab | 6 |
| 32 | Jewish | 0 |
| 33 | Turkish | 0 |
| 34 | Iranian and Central Asian | 3 |
| 39 | Other North African and Middle Eastern | 1 |
| 40 | Sub-Saharan African | 0 |
| 41 | West and Central African | 0 |
| 42 | Africa’s Horn | 4 |
| 43 | East and South African | 1 |
| 50 | South and South-East Asian | 0 |
| 51 | South Asian | 4 |
| 52 | Mainland and Buddhist South-East Asian | 4 |
| 53 | Maritime and Muslim South-East Asian | 0 |
| 60 | East Asian | 0 |
| 61 | Chinese Asian | 1 |
| 62 | North-East Asian | 0 |
| 70 | Latin American | 0 |
| 71 | South American | 1 |
| 72 | Central American (includes Spanish-speaking Caribbean) | 6 |
| 80 | Caribbean | 0 |
| 81 | English-speaking Caribbean | 0 |
| 82 | Non English-speaking Caribbean | 0 |
| 90 | North American and Australasian | 0 |
| 91 | North American | 1 |
| 92 | Australasian | 0 |
| 0 | NAP, other countries | 50118 |
| 99 | NA/ inadequately described, no group | 62 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1488 | 50180 | 1 | 91 |
Valid range from 1 to 92
NO_ETHN2 Country specific ethnic group 2: Norway
| Value 293150 | Frequency | |
|---|---|---|
| 1 | Norwegian | 28 |
| 10 | North and West European | 0 |
| 11 | West European | 5 |
| 12 | North European (Nordic) | 7 |
| 21 | South European | 3 |
| 22 | South-East European | 1 |
| 23 | East European | 1 |
| 30 | North African, Middle Eastern and Central Asian | 0 |
| 31 | Arab | 1 |
| 32 | Jewish | 0 |
| 33 | Turkish | 1 |
| 34 | Iranian and Central Asian | 1 |
| 39 | Other North African and Middle Eastern | 1 |
| 40 | Sub-Saharan African | 0 |
| 41 | West and Central African | 0 |
| 42 | Africa’s Horn | 2 |
| 43 | East and South African | 1 |
| 50 | South and South-East Asian | 0 |
| 51 | South Asian | 0 |
| 52 | Mainland and Buddhist South-East Asian | 0 |
| 53 | Maritime and Muslim South-East Asian | 0 |
| 60 | East Asian | 0 |
| 61 | Chinese Asian | 1 |
| 62 | North-East Asian | 1 |
| 70 | Latin American | 0 |
| 71 | South American | 0 |
| 72 | Central American (includes Spanish-speaking Caribbean) | 1 |
| 80 | Caribbean | 0 |
| 81 | English-speaking Caribbean | 0 |
| 82 | Non English-speaking Caribbean | 0 |
| 90 | North American and Australasian | 0 |
| 91 | North American | 1 |
| 92 | Australasian | 0 |
| 0 | NAP, other countries | 50118 |
| 99 | NA/ inadequately described, no (second) group | 1494 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 56 | 51612 | 1 | 91 |
Valid range from 1 to 92
NZ_ETHN1 Country specific ethnic group 1: New Zealand
| Value 294149 | Frequency | |
|---|---|---|
| 1 | Maori | 61 |
| 2 | European | 551 |
| 3 | Pacific People | 14 |
| 4 | Asian | 43 |
| 5 | MELAA | 1 |
| 0 | NAP, other countries | 50767 |
| 99 | No answer | 231 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 670 | 50998 | 1 | 5 |
Valid range from 1 to 5
NZ_ETHN2 Country specific ethnic group 2: New Zealand
| Value 295148 | Frequency | |
|---|---|---|
| 2 | European | 28 |
| 3 | Pacific People | 5 |
| 4 | Asian | 8 |
| 0 | NAP, other countries | 50767 |
| 99 | No answer, no second group | 860 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41 | 51627 | 2 | 4 |
Valid range from 2 to 4
PH_ETHN1 Country specific ethnic group 1: Philippines
| Value 296147 | Frequency | |
|---|---|---|
| 1 | Bicol | 84 |
| 2 | Ifugao | 2 |
| 3 | Igorot | 33 |
| 4 | Ilocano | 56 |
| 5 | Ilonggo | 156 |
| 6 | Cebuano | 375 |
| 7 | Chinese | 1 |
| 8 | Japanese | 0 |
| 9 | Maguindanao | 15 |
| 10 | Maranao | 48 |
| 11 | Spanish | 1 |
| 12 | Tagalog | 306 |
| 13 | Tausug | 2 |
| 14 | Yakan | 0 |
| 15 | Waray | 26 |
| 16 | Visaya/Bisaya | 16 |
| 17 | Kapampangan | 3 |
| 18 | Pangasinense | 10 |
| 19 | Boholano | 24 |
| 20 | Davaoeno | 3 |
| 21 | Manobo | 7 |
| 22 | Mandaya | 5 |
| 23 | Chavacano | 4 |
| 24 | Subanen | 5 |
| 25 | Ibanag | 1 |
| 26 | Aklanon | 1 |
| 27 | Mangyan | 1 |
| 28 | Hiligaynon | 1 |
| 29 | Agusanon | 1 |
| 30 | B'Laan | 1 |
| 31 | Libabawon | 1 |
| 32 | Antiqueño | 1 |
| 33 | Masbateño | 0 |
| 34 | Kankanaey | 0 |
| 35 | Zambal | 0 |
| 36 | Manguwangan | 0 |
| 96 | None | 9 |
| 0 | NAP, other countries | 50468 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1199 | 50469 | 1 | 96 |
Valid range from 1 to 96
PH_ETHN2 Country specific ethnic group 2: Philippines
| Value 297146 | Frequency | |
|---|---|---|
| 1 | Bicol | 0 |
| 2 | Ifugao | 0 |
| 3 | Igorot | 1 |
| 4 | Ilocano | 3 |
| 5 | Ilonggo | 0 |
| 6 | Cebuano | 1 |
| 7 | Chinese | 0 |
| 8 | Japanese | 0 |
| 9 | Maguindanao | 0 |
| 10 | Maranao | 0 |
| 11 | Spanish | 0 |
| 12 | Tagalog | 16 |
| 13 | Tausug | 1 |
| 14 | Yakan | 0 |
| 15 | Waray | 4 |
| 16 | Visaya/Bisaya | 2 |
| 17 | Kapampangan | 0 |
| 18 | Pangasinense | 6 |
| 19 | Boholano | 3 |
| 20 | Davaoeno | 0 |
| 21 | Manobo | 0 |
| 22 | Mandaya | 2 |
| 23 | Chavacano | 0 |
| 24 | Subanen | 0 |
| 25 | Ibanag | 0 |
| 26 | Aklanon | 2 |
| 27 | Mangyan | 0 |
| 28 | Hiligaynon | 0 |
| 29 | Agusanon | 0 |
| 30 | B'Laan | 0 |
| 31 | Libabawon | 0 |
| 32 | Antiqueño | 0 |
| 33 | Masbateño | 1 |
| 34 | Kankanaey | 1 |
| 35 | Zambal | 1 |
| 36 | Manguwangan | 1 |
| 0 | NAP, other countries | 50468 |
| 99 | No answer, no second group | 1155 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45 | 51623 | 3 | 36 |
Valid range from 1 to 36
PL_ETHN1 Country specific ethnic group 1: Poland
| Value 298145 | Frequency | |
|---|---|---|
| 1 | Polish | 2061 |
| 2 | Silesian | 1 |
| 3 | Russian | 1 |
| 4 | Ukrainian | 1 |
| 5 | Belarussian | 2 |
| 6 | German | 2 |
| 7 | Australian | 1 |
| 0 | NAP, other countries | 49556 |
| 99 | No answer | 43 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2069 | 49599 | 1 | 7 |
Valid range from 1 to 7
PL_ETHN2 Country specific ethnic group 2: Poland
| Value 299144 | Frequency | |
|---|---|---|
| 0 | NAP, other countries | 49556 |
| 99 | No second ethnic group mentioned | 2112 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
RU_ETHN1 Country specific ethnic group 1: Russia
| Value 300143 | Frequency | |
|---|---|---|
| 1 | Russian | 1360 |
| 2 | Ukrainian | 20 |
| 3 | Byelorussian | 9 |
| 4 | Tatarian | 33 |
| 5 | Bashkir | 7 |
| 6 | Jewish | 1 |
| 7 | German | 5 |
| 8 | Volga peoples (Mari, Mordva, Chuvash, Udmurt) | 34 |
| 9 | North Caucasus peoples (Adyg, Cherkes, Chechen, etc) | 67 |
| 10 | Siberia and North peoples (Byrat, Khakas, Yakut, etc) | 4 |
| 11 | Middle Asia peoples (Kazakh, Uzbek, etc) | 9 |
| 12 | Other | 19 |
| 0 | NAP, other countries | 50072 |
| 97 | Refused | 28 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1568 | 50100 | 1 | 12 |
Valid range from 1 to 12
RU_ETHN2 Country specific ethnic group 2: Russia
| Value 301142 | Frequency | |
|---|---|---|
| 0 | Not available;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
SE_ETHN1 Country specific ethnic group 1: Sweden
| Value 302141 | Frequency | |
|---|---|---|
| 4 | People of Afghanistan (AFG) | 2 |
| 31 | People of Azerbaijan (AZE) | 1 |
| 144 | People of Sri lanka (LKA) | 1 |
| 156 | People of China (CHN) | 2 |
| 170 | People of Colombia (COL) | 1 |
| 200 | People of Czechoslovakia (former) | 2 |
| 208 | People of Denmark (DNK) | 5 |
| 232 | People of Eritrea (ERI) | 1 |
| 246 | People of Finland (FIN) | 7 |
| 275 | People of Palestinian Territory, Occupied (PSE) | 2 |
| 276 | People of Germany (DEU) | 1 |
| 352 | People of Iceland (ISL) | 1 |
| 364 | People of Iran (Islamic Republic of) (IRN) | 4 |
| 368 | People of Iraq (IRQ) | 2 |
| 428 | People of Latvia (LVA) | 1 |
| 578 | People of Norway (NOR) | 7 |
| 608 | People of Philippines (PHL) | 3 |
| 616 | People of Poland (POL) | 5 |
| 620 | People of Portugal (PRT) | 1 |
| 643 | People of Russian Federation (RUS) | 1 |
| 706 | People of Somalia (SOM) | 1 |
| 752 | People of Sweden (SWE) | 1071 |
| 760 | People of Syrian Arab Republic (SYR) | 2 |
| 764 | People of Thailand (THA) | 3 |
| 792 | People of Turkey (TUR) | 3 |
| 826 | People of United Kingdom (GBR) | 1 |
| 840 | People of United States (USA) | 1 |
| 9702 | Skåne-No Country–Geographical area in Sweden | 1 |
| 9709 | Chechnya-No Country–Geographical area in Russia | 1 |
| 9990 | Kurds | 1 |
| 9993 | Europe-No Country–Geographical area | 2 |
| 9995 | The World-No Country–Geographical area | 5 |
| 0 | NAP, other countries | 50506 |
| 9996 | Non-classifiable groups | 1 |
| 9997 | Three or more groups mentioned | 5 |
| 9999 | No answer | 14 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1142 | 50526 | 4 | 9995 |
Valid range from 4 to 9995
SE_ETHN2 Country specific ethnic group 2: Sweden
| Value 303140 | Frequency | |
|---|---|---|
| 51 | People of Armenia (ARM) | 1 |
| 156 | People of China (CHN) | 2 |
| 208 | People of Denmark (DNK) | 5 |
| 231 | People of Ethiopia (ETH) | 1 |
| 246 | People of Finland (FIN) | 14 |
| 276 | People of Germany (DEU) | 2 |
| 352 | People of Iceland (ISL) | 1 |
| 364 | People of Iran (Islamic Republic of) (IRN) | 9 |
| 368 | People of Iraq (IRQ) | 1 |
| 380 | People of Italy (ITA) | 3 |
| 417 | People of Kyrgyzstan (KGZ) | 1 |
| 422 | People of Lebanon (LBN) | 1 |
| 578 | People of Norway (NOR) | 3 |
| 616 | People of Poland (POL) | 4 |
| 688 | People of Serbia (SRB) | 3 |
| 706 | People of Somalia (SOM) | 1 |
| 760 | People of Syrian Arab Republic (SYR) | 2 |
| 764 | People of Thailand (THA) | 1 |
| 792 | People of Turkey (TUR) | 2 |
| 800 | People of Uganda (UGA) | 1 |
| 807 | People of Macedonia, The Former Yugoslav Republic of (MKD) | 1 |
| 826 | People of United kingdom (GBR) | 2 |
| 840 | People of United states (USA) | 2 |
| 9702 | Skåne-No country–Geographical area in Sweden | 3 |
| 9703 | Norrbotten-No country–Geographical area in Sweden | 5 |
| 9708 | Dalarna-No country–Geographical area in Sweden | 1 |
| 9987 | Sami | 2 |
| 9988 | Jews | 3 |
| 9990 | Kurds | 3 |
| 9993 | Europe-No country–Geographical area | 4 |
| 9994 | Latin America-No country–Geographical area | 2 |
| 9995 | The World-No country–Geographical area | 11 |
| 0 | NAP, other countries | 50506 |
| 9996 | Non-classifiable groups | 3 |
| 9997 | Three or more groups mentioned | 5 |
| 9998 | No second group belonging | 1043 |
| 9999 | No answer | 14 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 97 | 51571 | 51 | 9995 |
Valid range from 51 to 9995
SI_ETHN1 Country specific ethnic group 1: Slovenia
| Value 304139 | Frequency | |
|---|---|---|
| 1 | Slovenian | 958 |
| 2 | Italian | 2 |
| 3 | Hungarian | 3 |
| 4 | Austrian | 0 |
| 5 | German | 0 |
| 6 | Croatian | 21 |
| 7 | Serbian | 15 |
| 8 | Montenegrin | 2 |
| 9 | Bosnian | 14 |
| 10 | Macedonian | 1 |
| 11 | Albanian | 3 |
| 12 | Gipsy | 1 |
| 13 | Other | 3 |
| 0 | NAP, other countries | 50645 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1023 | 50645 | 1 | 13 |
Valid range from 1 to 13
SI_ETHN2 Country specific ethnic group 2: Slovenia
| Value 305138 | Frequency | |
|---|---|---|
| 1 | Slovenian | 21 |
| 2 | Italian | 4 |
| 3 | Hungarian | 0 |
| 4 | Austrian | 3 |
| 5 | German | 3 |
| 6 | Croatian | 11 |
| 7 | Serbian | 4 |
| 8 | Montenegrin | 1 |
| 9 | Bosnian | 2 |
| 10 | Macedonian | 2 |
| 11 | Albanian | 0 |
| 12 | Gipsy | 1 |
| 13 | Other | 5 |
| 0 | NAP, other countries | 50645 |
| 97 | Refused | 2 |
| 99 | No answer, no second ethnic group | 964 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57 | 51611 | 1 | 13 |
Valid range from 1 to 13
SK_ETHN1 Country specific ethnic group 1: Slovak Republic
| Value 306137 | Frequency | |
|---|---|---|
| 1 | Slovak | 1015 |
| 2 | Hungarian | 106 |
| 3 | Roma | 19 |
| 4 | Czech | 5 |
| 5 | Ruthenian | 1 |
| 6 | Polish | 1 |
| 8 | German | 1 |
| 0 | NAP, other countries | 50518 |
| 97 | Refused | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1148 | 50520 | 1 | 8 |
Valid range from 1 to 8
SK_ETHN2 Country specific ethnic group 2: Slovak Republic
| Value 307136 | Frequency | |
|---|---|---|
| 2 | Hungarian | 4 |
| 5 | Ruthenian | 1 |
| 7 | Persian | 1 |
| 0 | NAP, other countries | 50518 |
| 97 | Refused | 2 |
| 99 | No second nationality | 1142 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 6 | 51662 | 2 | 7 |
Valid range from 2 to 7
SR_ETHN1 Country specific ethnic group 1: Suriname
| Value 308135 | Frequency | |
|---|---|---|
| 1 | Creole | 237 |
| 2 | Hindustani | 305 |
| 3 | Javanese | 180 |
| 4 | Marroon | 220 |
| 5 | Native | 28 |
| 6 | Chinese | 10 |
| 7 | Mixed | 148 |
| 8 | Other | 1 |
| 0 | NAP, other countries | 50529 |
| 99 | No answer | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1129 | 50539 | 1 | 8 |
Valid range from 1 to 8
SR_ETHN2 Country specific ethnic group 2: Suriname
| Value 309134 | Frequency | |
|---|---|---|
| 0 | Not available;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
TW_ETHN1 Country specific ethnic group 1: Taiwan
| Value 310133 | Frequency | |
|---|---|---|
| 1 | Fukienese | 1558 |
| 2 | Hakka of Taiwan | 216 |
| 3 | Mainlander | 189 |
| 4 | Aborigine | 33 |
| 5 | South-East Asia | 17 |
| 6 | Other | 7 |
| 0 | NAP, other countries | 49637 |
| 98 | Dont know | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2020 | 49648 | 1 | 6 |
Valid range from 1 to 6
TW_ETHN2 Country specific ethnic group 2: Taiwan
| Value 311132 | Frequency | |
|---|---|---|
| 0 | Not available;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
US_ETHN1 Country specific ethnic group 1: United States
| Value 312131 | Frequency | |
|---|---|---|
| 1 | Africa | 130 |
| 2 | Austria | 4 |
| 3 | French Canada | 12 |
| 4 | Other Canada | 12 |
| 5 | China | 9 |
| 6 | Czechoslovakia | 14 |
| 7 | Denmark | 4 |
| 8 | England & Wales | 128 |
| 9 | Finland | 5 |
| 10 | France | 30 |
| 11 | Germany | 193 |
| 12 | Greece | 8 |
| 13 | Hungary | 4 |
| 14 | Ireland | 154 |
| 15 | Italy | 77 |
| 16 | Japan | 8 |
| 17 | Mexico | 92 |
| 18 | Netherlands | 12 |
| 19 | Norway | 20 |
| 20 | Philippines | 11 |
| 21 | Poland | 40 |
| 22 | Puerto Rico | 20 |
| 23 | Russia | 22 |
| 24 | Scotland | 49 |
| 25 | Spain | 18 |
| 26 | Sweden | 28 |
| 27 | Switzerland | 4 |
| 28 | West Indies | 2 |
| 29 | Other | 5 |
| 30 | American Indian | 75 |
| 31 | India | 8 |
| 32 | Portugal | 6 |
| 33 | Lithuania | 6 |
| 34 | Yugoslavia | 6 |
| 35 | Romania | 4 |
| 36 | Belgium | 4 |
| 37 | Arabic | 3 |
| 38 | Other Spanish | 40 |
| 39 | Non-Span Windies | 9 |
| 40 | Other Asian | 13 |
| 41 | Other European | 11 |
| 96 | American only | 31 |
| 0 | NAP, other countries | 50191 |
| 98 | Don't know | 143 |
| 99 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1331 | 50337 | 1 | 96 |
Valid range from 1 to 96
US_ETHN2 Country specific ethnic group 2: United States
| Value 313130 | Frequency | |
|---|---|---|
| 1 | Africa | 12 |
| 2 | Austria | 10 |
| 3 | French Canada | 14 |
| 4 | Other Canada | 4 |
| 5 | China | 4 |
| 6 | Czechoslovakia | 9 |
| 7 | Denmark | 3 |
| 8 | England & Wales | 94 |
| 9 | Finland | 4 |
| 10 | France | 29 |
| 11 | Germany | 99 |
| 12 | Greece | 2 |
| 13 | Hungary | 7 |
| 14 | Ireland | 114 |
| 15 | Italy | 26 |
| 16 | Japan | 2 |
| 17 | Mexico | 9 |
| 18 | Netherlands | 20 |
| 19 | Norway | 9 |
| 21 | Poland | 23 |
| 22 | Puerto Rico | 2 |
| 23 | Russia | 9 |
| 24 | Scotland | 51 |
| 25 | Spain | 15 |
| 26 | Sweden | 24 |
| 27 | Switzerland | 6 |
| 28 | West Indies | 2 |
| 30 | American Indian | 35 |
| 31 | India | 2 |
| 32 | Portugal | 1 |
| 33 | Lithuania | 5 |
| 34 | Yugoslavia | 6 |
| 35 | Romania | 1 |
| 36 | Belgium | 1 |
| 37 | Arabic | 1 |
| 38 | Other Spanish | 5 |
| 39 | Non-Span Windies | 3 |
| 40 | Other Asian | 5 |
| 41 | Other European | 5 |
| 96 | American only | 1 |
| 0 | NAP, other countries | 50191 |
| 99 | No answer, no second country | 803 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 674 | 50994 | 1 | 96 |
Valid range from 1 to 96
VE_ETHN1 Country specific ethnic group 1: Venezuela
| Value 314129 | Frequency | |
|---|---|---|
| 1 | White | 354 |
| 2 | Mestizo (mixed race) | 255 |
| 3 | Mulatto (not offensive) | 364 |
| 4 | Black | 27 |
| 5 | Indigenous | 3 |
| 0 | NAP, other countries | 50661 |
| 99 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 50665 | 1 | 5 |
Valid range from 1 to 5
VE_ETHN2 Country specific ethnic group 2: Venezuela
| Value 315128 | Frequency | |
|---|---|---|
| 0 | Not available;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
ZA_ETHN1 Country specific ethnic group 1: South Africa
| Value 316127 | Frequency | |
|---|---|---|
| 1 | Black African | 1813 |
| 2 | Coloured | 496 |
| 3 | Indian/Asian | 302 |
| 4 | White | 329 |
| 0 | NAP, other countries | 48728 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2940 | 48728 | 1 | 4 |
Valid range from 1 to 4
ZA_ETHN2 Country specific ethnic group 2: South Africa
| Value 317126 | Frequency | |
|---|---|---|
| 0 | Not available;NAP, other countries | 51668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 51668 |
HOMPOP How many persons in household
| Value 318125 | Frequency | |
|---|---|---|
| 1 | One person (only respondent) | 7918 |
| 2 | Two persons | 14927 |
| 3 | Three persons | 9630 |
| 4 | Four persons | 9029 |
| 5 | Five persons | 4600 |
| 6 | Six persons | 2191 |
| 7 | Seven persons | 1009 |
| 8 | Eight persons | 556 |
| 9 | Nine persons | 297 |
| 10 | Ten persons | 189 |
| 11 | Eleven persons | 119 |
| 12 | Twelve persons | 81 |
| 13 | Thirteen persons;DK: Thirteen persons or more | 46 |
| 14 | Fourteen persons | 20 |
| 15 | Fifteen persons | 19 |
| 16 | Sixteen persons | 12 |
| 17 | Seventeen persons | 7 |
| 18 | Eighteen persons | 10 |
| 19 | Nineteen persons | 3 |
| 20 | Twenty persons | 4 |
| 22 | Twenty two person | 1 |
| 25 | Twenty five person | 2 |
| 27 | Twenty seven person | 1 |
| 0 | Not a private household | 24 |
| 99 | No answer | 973 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 50671 | 997 | 1 | 27 |
Valid range from 1 to 27
HHCHILDR How many children in household: children between [school age] and 17 years of age
| Value 319124 | Frequency | |
|---|---|---|
| 0 | No children | 33593 |
| 1 | One child | 8269 |
| 2 | Two children | 4804 |
| 3 | Three children | 1291 |
| 4 | Four children | 371 |
| 5 | Five children | 106 |
| 6 | Six children | 41 |
| 7 | Seven children | 27 |
| 8 | Eight children | 5 |
| 9 | Nine children | 1 |
| 10 | Ten children | 6 |
| 11 | Eleven Children | 1 |
| 12 | Twelve Children | 1 |
| 13 | Thirteen children | 1 |
| 14 | Fourteen children | 2 |
| 16 | Sixteen children | 1 |
| 17 | Seventeen children | 1 |
| 22 | Twenty two children | 1 |
| 96 | NAP (Code 0 in HOMPOP) | 24 |
| 99 | No answer; AU,NZ: NA incl. no children | 3122 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48522 | 3146 | 0 | 22 |
Valid range from 0 to 22
HHTODD How many toddlers in household: children up to [school age -1] years
| Value 320123 | Frequency | |
|---|---|---|
| 0 | No toddlers | 38898 |
| 1 | One toddler | 6083 |
| 2 | Two toddlers | 2174 |
| 3 | Three toddlers | 371 |
| 4 | Four toddlers | 88 |
| 5 | Five toddlers | 18 |
| 6 | Six toddlers | 7 |
| 7 | Seven toddlers | 2 |
| 8 | Eight toddlers | 0 |
| 96 | NAP(Code 0 in HOMPOP);NAV(NZ: included in HHCHILDR) | 925 |
| 99 | No answer;AU: NA incl. no toddlers | 3102 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47641 | 4027 | 0 | 7 |
Valid range from 0 to 8
AT_RINC Country specific personal income: Austria
| Value 321122 | Frequency | |
|---|---|---|
| 0 | No income | 41 |
| 125 | Up to 250 EUR per month, gross | 2 |
| 375 | 251-500 EUR | 9 |
| 625 | 501-750 EUR | 28 |
| 875 | 751-1.000 EUR | 62 |
| 1150 | 1.001-1.300 EUR | 69 |
| 1450 | 1.301-1.600 EUR | 91 |
| 1750 | 1.601-1.900 EUR | 80 |
| 2050 | 1.901-2.200 EUR | 84 |
| 2350 | 2.201-2.500 EUR | 59 |
| 2750 | 2.501-3.000 EUR | 64 |
| 3250 | 3.001-3.500 EUR | 29 |
| 3750 | 3.501-4.000 EUR | 27 |
| 4500 | 4.001-5.000 EUR | 17 |
| 5500 | 5.001-6.000 EUR | 7 |
| 6500 | 6.001 and more EUR per month, gross | 8 |
| 999990 | NAP, all other countries | 50667 |
| 999999 | No answer | 324 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 677 | 50991 | 0 | 6500 |
Valid range from 0 to 6500
AU_RINC Country specific personal income: Australia
| Value 322121 | Frequency | |
|---|---|---|
| 3 | 3 AUD per month | 1 |
| 100 | 100 AUD | 1 |
| 175 | 175 AUD | 1 |
| 200 | 200 AUD | 1 |
| 213 | 213 AUD | 1 |
| 250 | 250 AUD | 1 |
| 400 | 400 AUD | 6 |
| 420 | 420 AUD | 1 |
| 450 | 450 AUD | 1 |
| 500 | 500 AUD | 5 |
| 600 | 600 AUD | 5 |
| 630 | 630 AUD | 1 |
| 640 | 640 AUD | 1 |
| 650 | 650 AUD | 1 |
| 654 | 654 AUD | 1 |
| 695 | 695 AUD | 1 |
| 700 | 700 AUD | 2 |
| 760 | 760 AUD | 1 |
| 800 | 800 AUD | 6 |
| 900 | 900 AUD | 2 |
| 1000 | 1000 AUD | 23 |
| 1080 | 1080 AUD | 1 |
| 1100 | 1100 AUD | 3 |
| 1120 | 1120 AUD | 1 |
| 1129 | 1129 AUD | 1 |
| 1140 | 1140 AUD | 1 |
| 1200 | 1200 AUD | 21 |
| 1208 | 1208 AUD | 1 |
| 1229 | 1229 AUD | 1 |
| 1250 | 1250 AUD | 1 |
| 1270 | 1270 AUD | 2 |
| 1280 | 1280 AUD | 3 |
| 1288 | 1288 AUD | 1 |
| 1296 | 1296 AUD | 1 |
| 1297 | 1297 AUD | 2 |
| 1300 | 1300 AUD | 5 |
| 1306 | 1306 AUD | 1 |
| 1307 | 1307 AUD | 1 |
| 1320 | 1320 AUD | 1 |
| 1397 | 1397 AUD | 1 |
| 1400 | 1400 AUD | 4 |
| 1422 | 1422 AUD | 1 |
| 1428 | 1428 AUD | 1 |
| 1450 | 1450 AUD | 1 |
| 1500 | 1500 AUD | 9 |
| 1543 | 1543 AUD | 1 |
| 1600 | 1600 AUD | 21 |
| 1695 | 1695 AUD | 1 |
| 1700 | 1700 AUD | 6 |
| 1734 | 1734 AUD | 1 |
| 1760 | 1760 AUD | 1 |
| 1768 | 1768 AUD | 1 |
| 1800 | 1800 AUD | 12 |
| 1842 | 1842 AUD | 1 |
| 1900 | 1900 AUD | 3 |
| 1960 | 1960 AUD | 1 |
| 1976 | 1976 AUD | 2 |
| 1986 | 1986 AUD | 1 |
| 2000 | 2000 AUD | 40 |
| 2020 | 2020 AUD | 1 |
| 2070 | 2070 AUD | 1 |
| 2083 | 2083 AUD | 1 |
| 2100 | 2100 AUD | 2 |
| 2110 | 2110 AUD | 1 |
| 2120 | 2120 AUD | 1 |
| 2200 | 2200 AUD | 4 |
| 2300 | 2300 AUD | 2 |
| 2360 | 2360 AUD | 1 |
| 2400 | 2400 AUD | 12 |
| 2450 | 2450 AUD | 1 |
| 2480 | 2480 AUD | 1 |
| 2500 | 2500 AUD | 18 |
| 2600 | 2600 AUD | 5 |
| 2650 | 2650 AUD | 1 |
| 2700 | 2700 AUD | 4 |
| 2750 | 2750 AUD | 1 |
| 2800 | 2800 AUD | 10 |
| 2840 | 2840 AUD | 1 |
| 2870 | 2870 AUD | 1 |
| 2875 | 2875 AUD | 1 |
| 2900 | 2900 AUD | 3 |
| 3000 | 3000 AUD | 35 |
| 3045 | 3045 AUD | 1 |
| 3100 | 3100 AUD | 1 |
| 3200 | 3200 AUD | 11 |
| 3240 | 3240 AUD | 1 |
| 3241 | 3241 AUD | 1 |
| 3300 | 3300 AUD | 2 |
| 3400 | 3400 AUD | 3 |
| 3425 | 3425 AUD | 1 |
| 3500 | 3500 AUD | 6 |
| 3580 | 3580 AUD | 1 |
| 3600 | 3600 AUD | 8 |
| 3670 | 3670 AUD | 1 |
| 3683 | 3683 AUD | 1 |
| 3700 | 3700 AUD | 2 |
| 3745 | 3745 AUD | 1 |
| 3800 | 3800 AUD | 5 |
| 3880 | 3880 AUD | 1 |
| 3900 | 3900 AUD | 1 |
| 3920 | 3920 AUD | 1 |
| 4000 | 4000 AUD | 51 |
| 4100 | 4100 AUD | 2 |
| 4187 | 4187 AUD | 1 |
| 4200 | 4200 AUD | 6 |
| 4250 | 4250 AUD | 1 |
| 4300 | 4300 AUD | 3 |
| 4400 | 4400 AUD | 6 |
| 4416 | 4416 AUD | 1 |
| 4500 | 4500 AUD | 22 |
| 4583 | 4583 AUD | 1 |
| 4600 | 4600 AUD | 1 |
| 4639 | 4639 AUD | 1 |
| 4700 | 4700 AUD | 2 |
| 4800 | 4800 AUD | 4 |
| 4820 | 4820 AUD | 1 |
| 5000 | 5000 AUD | 49 |
| 5076 | 5076 AUD | 1 |
| 5166 | 5166 AUD | 1 |
| 5200 | 5200 AUD | 7 |
| 5250 | 5250 AUD | 1 |
| 5300 | 5300 AUD | 2 |
| 5448 | 5448 AUD | 1 |
| 5500 | 5500 AUD | 6 |
| 5530 | 5530 AUD | 1 |
| 5800 | 5800 AUD | 2 |
| 6000 | 6000 AUD | 41 |
| 6200 | 6200 AUD | 4 |
| 6300 | 6300 AUD | 1 |
| 6400 | 6400 AUD | 1 |
| 6406 | 6406 AUD | 1 |
| 6500 | 6500 AUD | 5 |
| 6600 | 6600 AUD | 1 |
| 6667 | 6667 AUD | 1 |
| 6700 | 6700 AUD | 1 |
| 6850 | 6850 AUD | 1 |
| 6900 | 6900 AUD | 2 |
| 6958 | 6958 AUD | 1 |
| 7000 | 7.000 AUD | 18 |
| 7200 | 7.200 AUD | 2 |
| 7238 | 7.238 AUD | 1 |
| 7400 | 7.400 AUD | 1 |
| 7500 | 7.500 AUD | 11 |
| 7600 | 7.600 AUD | 1 |
| 7900 | 7.900 AUD | 2 |
| 7934 | 7.934 AUD | 1 |
| 8000 | 8.000 AUD | 22 |
| 8300 | 8.300 AUD | 1 |
| 8350 | 8.350 AUD | 1 |
| 8400 | 8.400 AUD | 1 |
| 8500 | 8.500 AUD | 3 |
| 8750 | 8.750 AUD | 1 |
| 8800 | 8.800 AUD | 1 |
| 8899 | 8.899 AUD | 1 |
| 9000 | 9.000 AUD | 11 |
| 9300 | 9.300 AUD | 1 |
| 9500 | 9.500 AUD | 2 |
| 9800 | 9.800 AUD | 1 |
| 10000 | 10.000 AUD | 17 |
| 10500 | 10.500 AUD | 1 |
| 11000 | 11.000 AUD | 6 |
| 11720 | 11.720 AUD | 1 |
| 11750 | 11.750 AUD | 1 |
| 12000 | 12.000 AUD | 6 |
| 12500 | 12.500 AUD | 5 |
| 13000 | 13.000 AUD | 2 |
| 13145 | 13.145 AUD | 1 |
| 13750 | 13.750 AUD | 1 |
| 13800 | 13.800 AUD | 1 |
| 14000 | 14.000 AUD | 2 |
| 15000 | 15.000 AUD | 9 |
| 16000 | 16.000 AUD | 5 |
| 17000 | 17.000 AUD | 2 |
| 18000 | 18.000 AUD | 4 |
| 20000 | 20.000 AUD | 8 |
| 22500 | 22.500 AUD | 1 |
| 28000 | 28.000 AUD | 1 |
| 30000 | 30.000 AUD | 3 |
| 37000 | 37.000 AUD | 1 |
| 37600 | 37.600 AUD | 1 |
| 40000 | 40.000 AUD | 2 |
| 42000 | 42.000 AUD | 1 |
| 43000 | 43.000 AUD | 1 |
| 45000 | 45.000 AUD | 2 |
| 49000 | 49.000 AUD | 1 |
| 50000 | 50.000 AUD | 4 |
| 51000 | 51.000 AUD | 1 |
| 53000 | 53.000 AUD | 1 |
| 55000 | 55.000 AUD | 1 |
| 57000 | 57.000 AUD | 1 |
| 58500 | 58.500 AUD | 1 |
| 60000 | 60.000 AUD | 2 |
| 63000 | 63.000 AUD | 1 |
| 64000 | 64.000 AUD | 1 |
| 70000 | 70.000 AUD | 1 |
| 75000 | 75.000 AUD | 1 |
| 89000 | 89.000 AUD | 1 |
| 90000 | 90.000 AUD | 1 |
| 92000 | 92.000 AUD | 1 |
| 100000 | 100.000 AUD | 1 |
| 120000 | 120.000 AUD | 3 |
| 130000 | 130.000 AUD | 1 |
| 140000 | 140.000 AUD | 3 |
| 160000 | 160.000 AUD | 1 |
| 175000 | 175.000 AUD | 1 |
| 200000 | 200.000 AUD | 1 |
| 300000 | 300.000 AUD per month | 1 |
| 999990 | NAP, all other countries | 50457 |
| 999999 | No answer | 401 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 810 | 50858 | 3 | 300000 |
Valid range from 3 to 300000
BE_RINC Country specific personal income: Belgium
| Value 323120 | Frequency | |
|---|---|---|
| 0 | No own income | 156 |
| 10 | 10 EUR net per month | 3 |
| 50 | 50 EUR | 1 |
| 60 | 60 EUR | 1 |
| 70 | 70 EUR | 1 |
| 75 | 75 EUR | 1 |
| 100 | 100 EUR | 7 |
| 111 | 111 EUR | 1 |
| 120 | 120 EUR | 3 |
| 123 | 123 EUR | 1 |
| 150 | 150 EUR | 4 |
| 160 | 160 EUR | 1 |
| 187 | 187 EUR | 1 |
| 200 | 200 EUR | 10 |
| 220 | 220 EUR | 1 |
| 250 | 250 EUR | 1 |
| 264 | 264 EUR | 1 |
| 278 | 278 EUR | 1 |
| 280 | 280 EUR | 2 |
| 300 | 300 EUR | 3 |
| 319 | 319 EUR | 1 |
| 380 | 380 EUR | 2 |
| 390 | 390 EUR | 1 |
| 400 | 400 EUR | 6 |
| 415 | 415 EUR | 1 |
| 420 | 420 EUR | 1 |
| 433 | 433 EUR | 1 |
| 450 | 450 EUR | 1 |
| 470 | 470 EUR | 1 |
| 490 | 490 EUR | 1 |
| 500 | 500 EUR | 14 |
| 510 | 510 EUR | 1 |
| 520 | 520 EUR | 2 |
| 544 | 544 EUR | 1 |
| 550 | 550 EUR | 6 |
| 560 | 560 EUR | 1 |
| 580 | 580 EUR | 1 |
| 590 | 590 EUR | 1 |
| 600 | 600 EUR | 7 |
| 620 | 620 EUR | 2 |
| 650 | 650 EUR | 3 |
| 660 | 660 EUR | 1 |
| 665 | 665 EUR | 1 |
| 680 | 680 EUR | 1 |
| 700 | 700 EUR | 3 |
| 720 | 720 EUR | 2 |
| 723 | 723 EUR | 1 |
| 739 | 739 EUR | 1 |
| 750 | 750 EUR | 3 |
| 760 | 760 EUR | 1 |
| 800 | 800 EUR | 17 |
| 812 | 812 EUR | 1 |
| 821 | 821 EUR | 1 |
| 825 | 825 EUR | 1 |
| 830 | 830 EUR | 1 |
| 831 | 831 EUR | 1 |
| 833 | 833 EUR | 2 |
| 834 | 834 EUR | 1 |
| 850 | 850 EUR | 8 |
| 855 | 855 EUR | 1 |
| 880 | 880 EUR | 1 |
| 888 | 888 EUR | 1 |
| 890 | 890 EUR | 2 |
| 900 | 900 EUR | 18 |
| 911 | 911 EUR | 1 |
| 920 | 920 EUR | 4 |
| 930 | 930 EUR | 2 |
| 933 | 933 EUR | 1 |
| 942 | 942 EUR | 1 |
| 950 | 950 EUR | 11 |
| 956 | 956 EUR | 1 |
| 960 | 960 EUR | 1 |
| 980 | 980 EUR | 4 |
| 986 | 986 EUR | 1 |
| 987 | 987 EUR | 1 |
| 990 | 990 EUR | 2 |
| 1000 | 1.000 EUR | 56 |
| 1005 | 1.005 EUR | 1 |
| 1020 | 1.020 EUR | 2 |
| 1030 | 1.030 EUR | 1 |
| 1040 | 1.040 EUR | 2 |
| 1045 | 1.045 EUR | 1 |
| 1051 | 1.051 EUR | 1 |
| 1072 | 1.072 EUR | 1 |
| 1077 | 1.077 EUR | 1 |
| 1080 | 1.080 EUR | 1 |
| 1081 | 1.081 EUR | 1 |
| 1083 | 1.083 EUR | 1 |
| 1089 | 1.089 EUR | 2 |
| 1090 | 1.090 EUR | 1 |
| 1092 | 1.092 EUR | 1 |
| 1094 | 1.094 EUR | 1 |
| 1100 | 1.100 EUR | 55 |
| 1114 | 1.114 EUR | 1 |
| 1115 | 1.115 EUR | 1 |
| 1117 | 1.117 EUR | 1 |
| 1120 | 1.120 EUR | 1 |
| 1121 | 1.121 EUR | 1 |
| 1125 | 1.125 EUR | 1 |
| 1130 | 1.130 EUR | 2 |
| 1140 | 1.140 EUR | 2 |
| 1143 | 1.143 EUR | 2 |
| 1147 | 1.147 EUR | 1 |
| 1150 | 1.150 EUR | 15 |
| 1157 | 1.157 EUR | 1 |
| 1158 | 1.158 EUR | 1 |
| 1159 | 1.159 EUR | 1 |
| 1160 | 1.160 EUR | 1 |
| 1165 | 1.165 EUR | 1 |
| 1167 | 1.167 EUR | 1 |
| 1168 | 1.168 EUR | 1 |
| 1172 | 1.172 EUR | 1 |
| 1173 | 1.173 EUR | 1 |
| 1180 | 1.180 EUR | 3 |
| 1190 | 1.190 EUR | 1 |
| 1199 | 1.199 EUR | 1 |
| 1200 | 1.200 EUR | 56 |
| 1216 | 1.216 EUR | 1 |
| 1219 | 1.219 EUR | 1 |
| 1220 | 1.220 EUR | 1 |
| 1233 | 1.233 EUR | 1 |
| 1235 | 1.235 EUR | 1 |
| 1240 | 1.240 EUR | 2 |
| 1244 | 1.244 EUR | 2 |
| 1248 | 1.248 EUR | 1 |
| 1250 | 1.250 EUR | 16 |
| 1260 | 1.260 EUR | 1 |
| 1264 | 1.264 EUR | 1 |
| 1275 | 1.275 EUR | 1 |
| 1277 | 1.277 EUR | 1 |
| 1285 | 1.285 EUR | 1 |
| 1296 | 1.296 EUR | 1 |
| 1300 | 1.300 EUR | 53 |
| 1316 | 1.316 EUR | 1 |
| 1317 | 1.317 EUR | 1 |
| 1328 | 1.328 EUR | 1 |
| 1329 | 1.329 EUR | 1 |
| 1330 | 1.330 EUR | 2 |
| 1337 | 1.337 EUR | 1 |
| 1350 | 1.350 EUR | 11 |
| 1358 | 1.358 EUR | 1 |
| 1360 | 1.360 EUR | 1 |
| 1370 | 1.370 EUR | 1 |
| 1375 | 1.375 EUR | 1 |
| 1387 | 1.387 EUR | 1 |
| 1396 | 1.396 EUR | 1 |
| 1400 | 1.400 EUR | 67 |
| 1405 | 1.405 EUR | 1 |
| 1411 | 1.411 EUR | 1 |
| 1416 | 1.416 EUR | 2 |
| 1434 | 1.434 EUR | 1 |
| 1435 | 1.435 EUR | 1 |
| 1440 | 1.440 EUR | 1 |
| 1449 | 1.449 EUR | 2 |
| 1450 | 1.450 EUR | 13 |
| 1460 | 1.460 EUR | 1 |
| 1462 | 1.462 EUR | 1 |
| 1475 | 1.475 EUR | 1 |
| 1480 | 1.480 EUR | 2 |
| 1493 | 1.493 EUR | 1 |
| 1500 | 1.500 EUR | 125 |
| 1502 | 1.502 EUR | 1 |
| 1506 | 1.506 EUR | 1 |
| 1520 | 1.520 EUR | 1 |
| 1530 | 1.530 EUR | 3 |
| 1532 | 1.532 EUR | 1 |
| 1550 | 1.550 EUR | 15 |
| 1555 | 1.555 EUR | 1 |
| 1556 | 1.556 EUR | 1 |
| 1558 | 1.558 EUR | 1 |
| 1560 | 1.560 EUR | 1 |
| 1568 | 1.568 EUR | 1 |
| 1579 | 1.579 EUR | 1 |
| 1580 | 1.580 EUR | 3 |
| 1600 | 1.600 EUR | 79 |
| 1615 | 1.615 EUR | 1 |
| 1635 | 1.635 EUR | 1 |
| 1638 | 1.638 EUR | 1 |
| 1640 | 1.640 EUR | 2 |
| 1648 | 1.648 EUR | 1 |
| 1649 | 1.649 EUR | 1 |
| 1650 | 1.650 EUR | 22 |
| 1660 | 1.660 EUR | 3 |
| 1665 | 1.665 EUR | 1 |
| 1675 | 1.675 EUR | 1 |
| 1678 | 1.678 EUR | 1 |
| 1680 | 1.680 EUR | 4 |
| 1685 | 1.685 EUR | 2 |
| 1700 | 1.700 EUR | 60 |
| 1715 | 1.715 EUR | 1 |
| 1740 | 1.740 EUR | 1 |
| 1750 | 1.750 EUR | 16 |
| 1755 | 1.755 EUR | 2 |
| 1770 | 1.770 EUR | 1 |
| 1775 | 1.775 EUR | 1 |
| 1790 | 1.790 EUR | 1 |
| 1800 | 1.800 EUR | 76 |
| 1828 | 1.828 EUR | 1 |
| 1833 | 1.833 EUR | 1 |
| 1850 | 1.850 EUR | 15 |
| 1880 | 1.880 EUR | 1 |
| 1900 | 1.900 EUR | 36 |
| 1919 | 1.919 EUR | 1 |
| 1930 | 1.930 EUR | 1 |
| 1948 | 1.948 EUR | 1 |
| 1950 | 1.950 EUR | 7 |
| 1957 | 1.957 EUR | 1 |
| 1960 | 1.960 EUR | 2 |
| 1985 | 1.985 EUR | 2 |
| 2000 | 2.000 EUR | 126 |
| 2010 | 2.010 EUR | 1 |
| 2035 | 2.035 EUR | 1 |
| 2050 | 2.050 EUR | 4 |
| 2071 | 2.071 EUR | 1 |
| 2080 | 2.080 EUR | 3 |
| 2100 | 2.100 EUR | 29 |
| 2166 | 2.166 EUR | 1 |
| 2180 | 2.180 EUR | 2 |
| 2200 | 2.200 EUR | 45 |
| 2233 | 2.233 EUR | 1 |
| 2250 | 2.250 EUR | 6 |
| 2280 | 2.280 EUR | 1 |
| 2300 | 2.300 EUR | 28 |
| 2340 | 2.340 EUR | 1 |
| 2350 | 2.350 EUR | 3 |
| 2360 | 2.360 EUR | 1 |
| 2380 | 2.380 EUR | 1 |
| 2390 | 2.390 EUR | 1 |
| 2400 | 2.400 EUR | 20 |
| 2425 | 2.425 EUR | 1 |
| 2450 | 2.450 EUR | 3 |
| 2462 | 2.462 EUR | 1 |
| 2485 | 2.485 EUR | 1 |
| 2500 | 2.500 EUR | 54 |
| 2550 | 2.550 EUR | 2 |
| 2600 | 2.600 EUR | 19 |
| 2640 | 2.640 EUR | 1 |
| 2650 | 2.650 EUR | 1 |
| 2700 | 2.700 EUR | 11 |
| 2800 | 2.800 EUR | 9 |
| 2850 | 2.850 EUR | 1 |
| 2900 | 2.900 EUR | 9 |
| 2945 | 2.945 EUR | 1 |
| 2950 | 2.950 EUR | 1 |
| 3000 | 3.000 EUR | 32 |
| 3100 | 3.100 EUR | 4 |
| 3200 | 3.200 EUR | 10 |
| 3245 | 3.245 EUR | 1 |
| 3300 | 3.300 EUR | 6 |
| 3330 | 3.330 EUR | 1 |
| 3400 | 3.400 EUR | 4 |
| 3450 | 3.450 EUR | 1 |
| 3475 | 3.475 EUR | 1 |
| 3500 | 3.500 EUR | 15 |
| 3600 | 3.600 EUR | 4 |
| 3700 | 3.700 EUR | 3 |
| 3800 | 3.800 EUR | 3 |
| 4000 | 4.000 EUR | 15 |
| 4055 | 4.055 EUR | 1 |
| 4100 | 4.100 EUR | 2 |
| 4200 | 4.200 EUR | 1 |
| 4500 | 4.500 EUR | 2 |
| 5000 | 5.000 EUR | 9 |
| 5300 | 5.300 EUR | 1 |
| 5500 | 5.500 EUR | 3 |
| 5800 | 5.800 EUR | 1 |
| 6000 | 6.000 EUR | 3 |
| 7000 | 7.000 EUR | 3 |
| 7300 | 7.300 EUR | 1 |
| 7500 | 7.500 EUR | 3 |
| 8000 | 8.000 EUR | 2 |
| 9000 | 9.000 EUR | 1 |
| 10000 | 10.000 EUR | 5 |
| 16000 | 16.000 EUR net per month | 1 |
| 999990 | NAP, all other countries | 49527 |
| 999999 | No answer | 321 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1820 | 49848 | 0 | 16000 |
Valid range from 0 to 16000
CH_RINC Country specific personal income: Switzerland
| Value 324119 | Frequency | |
|---|---|---|
| 0 | No income | 61 |
| 700 | Less than 1.100 CHF per month | 80 |
| 1450 | 1.100-1.799 CHF | 75 |
| 2250 | 1.800-2.699 CHF | 119 |
| 3150 | 2.700-3.599 CHF | 110 |
| 4000 | 3.600-4.399 CHF | 145 |
| 4800 | 4.400-5.199 CHF | 125 |
| 5650 | 5.200-6.099 CHF | 108 |
| 6700 | 6.100-7.299 CHF | 86 |
| 8300 | 7.300-9.299 CHF | 65 |
| 10250 | 9.300 CHF or more per month | 101 |
| 999990 | NAP, all other countries | 50433 |
| 999997 | Refused | 82 |
| 999998 | Don't know | 19 |
| 999999 | No answer | 59 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1075 | 50593 | 0 | 10250 |
Valid range from 0 to 10250
CL_RINC Country specific personal income: Chile
| Value 325118 | Frequency | |
|---|---|---|
| 20000 | Less than 35.000 CLP a month | 86 |
| 45000 | 35.001 to 56.000 CLP | 19 |
| 66000 | 56.001 to 78.000 CLP | 36 |
| 90000 | 78.001 to 101.000 CLP | 99 |
| 122000 | 101.001 to 134.000 CLP | 53 |
| 155000 | 134.001 to 179.000 CLP | 70 |
| 200000 | 179.000 to 224.000 CLP | 95 |
| 250000 | 224.001 to 291.000 CLP | 101 |
| 310000 | 291.001 to 358.000 CLP | 85 |
| 400000 | 358.001 to 448.000 CLP | 105 |
| 750000 | 448.001 to 1.000.000 CLP | 114 |
| 1500000 | 1.000.001 to 2.000.000 CLP | 39 |
| 2500000 | 2.000.001 to 3.000.000 CLP | 2 |
| 3100000 | More than 3.000.000 CLP a month | 4 |
| 9999990 | NAP, all other countries | 50235 |
| 9999998 | Don't know | 41 |
| 9999999 | No answer | 484 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 908 | 50760 | 20000 | 3100000 |
Valid range from 20000 to 3100000
CN_RINC Country specific personal income: China
| Value 326117 | Frequency | |
|---|---|---|
| 0 | No income | 276 |
| 100 | 100 CNY per year | 2 |
| 200 | 200 CNY | 3 |
| 400 | 400 CNY | 2 |
| 500 | 500 CNY | 2 |
| 600 | 600 CNY | 4 |
| 660 | 660 CNY | 4 |
| 700 | 700 CNY | 2 |
| 720 | 720 CNY | 5 |
| 750 | 750 CNY | 1 |
| 780 | 780 CNY | 3 |
| 800 | 800 CNY | 5 |
| 840 | 840 CNY | 1 |
| 900 | 900 CNY | 2 |
| 960 | 960 CNY | 4 |
| 1000 | 1.000 CNY | 24 |
| 1040 | 1.040 CNY | 1 |
| 1060 | 1.060 CNY | 1 |
| 1140 | 1.140 CNY | 1 |
| 1200 | 1.200 CNY | 7 |
| 1300 | 1.300 CNY | 2 |
| 1400 | 1.400 CNY | 1 |
| 1500 | 1.500 CNY | 6 |
| 1520 | 1.520 CNY | 1 |
| 1700 | 1.700 CNY | 2 |
| 1720 | 1.720 CNY | 1 |
| 1800 | 1.800 CNY | 1 |
| 1900 | 1.900 CNY | 1 |
| 1980 | 1.980 CNY | 1 |
| 2000 | 2.000 CNY | 45 |
| 2270 | 2.270 CNY | 1 |
| 2400 | 2.400 CNY | 3 |
| 2500 | 2.500 CNY | 3 |
| 2600 | 2.600 CNY | 1 |
| 2750 | 2.750 CNY | 1 |
| 2880 | 2.880 CNY | 1 |
| 3000 | 3.000 CNY | 36 |
| 3360 | 3.360 CNY | 1 |
| 3400 | 3.400 CNY | 2 |
| 3500 | 3.500 CNY | 3 |
| 3516 | 3.516 CNY | 1 |
| 3600 | 3.600 CNY | 1 |
| 3800 | 3.800 CNY | 1 |
| 4000 | 4.000 CNY | 19 |
| 4500 | 4.500 CNY | 4 |
| 4800 | 4.800 CNY | 1 |
| 4850 | 4.850 CNY | 1 |
| 5000 | 5.000 CNY | 54 |
| 5400 | 5.400 CNY | 1 |
| 5500 | 5.500 CNY | 3 |
| 5820 | 5.820 CNY | 1 |
| 6000 | 6.000 CNY | 25 |
| 6500 | 6.500 CNY | 3 |
| 6840 | 6.840 CNY | 1 |
| 7000 | 7.000 CNY | 10 |
| 7500 | 7.500 CNY | 2 |
| 7560 | 7.560 CNY | 1 |
| 7650 | 7.650 CNY | 1 |
| 8000 | 8.000 CNY | 15 |
| 8400 | 8.400 CNY | 2 |
| 8500 | 8.500 CNY | 1 |
| 9000 | 9.000 CNY | 4 |
| 9600 | 9.600 CNY | 5 |
| 9996 | 9.996 CNY | 1 |
| 10000 | 10.000 CNY | 131 |
| 10500 | 10.500 CNY | 1 |
| 10800 | 10.800 CNY | 1 |
| 11000 | 11.000 CNY | 2 |
| 12000 | 12.000 CNY | 27 |
| 12100 | 12.100 CNY | 1 |
| 12600 | 12.600 CNY | 2 |
| 12800 | 12.800 CNY | 1 |
| 13000 | 13.000 CNY | 7 |
| 13200 | 13.200 CNY | 1 |
| 13600 | 13.600 CNY | 1 |
| 14000 | 14.000 CNY | 6 |
| 14400 | 14.400 CNY | 5 |
| 15000 | 15.000 CNY | 39 |
| 15600 | 15.600 CNY | 1 |
| 16000 | 16.000 CNY | 3 |
| 16800 | 16.800 CNY | 2 |
| 17000 | 17.000 CNY | 1 |
| 18000 | 18.000 CNY | 16 |
| 19000 | 19.000 CNY | 3 |
| 19200 | 19.200 CNY | 4 |
| 20000 | 20.000 CNY | 122 |
| 22000 | 22.000 CNY | 7 |
| 22200 | 22.200 CNY | 1 |
| 24000 | 24.000 CNY | 37 |
| 25000 | 25.000 CNY | 37 |
| 25200 | 25.200 CNY | 1 |
| 26400 | 26.400 CNY | 2 |
| 26500 | 26.500 CNY | 1 |
| 27000 | 27.000 CNY | 3 |
| 27600 | 27.600 CNY | 1 |
| 28000 | 28.000 CNY | 2 |
| 28440 | 28.440 CNY | 1 |
| 29000 | 29.000 CNY | 1 |
| 29400 | 29.400 CNY | 1 |
| 30000 | 30.000 CNY | 127 |
| 31000 | 31.000 CNY | 1 |
| 31200 | 31.200 CNY | 2 |
| 32000 | 32.000 CNY | 4 |
| 32400 | 32.400 CNY | 1 |
| 33000 | 33.000 CNY | 1 |
| 34800 | 34.800 CNY | 2 |
| 35000 | 35.000 CNY | 22 |
| 36000 | 36.000 CNY | 42 |
| 37200 | 37.200 CNY | 2 |
| 38000 | 38.000 CNY | 1 |
| 38400 | 38.400 CNY | 2 |
| 39000 | 39.000 CNY | 1 |
| 39120 | 39.120 CNY | 1 |
| 39600 | 39.600 CNY | 1 |
| 40000 | 40.000 CNY | 81 |
| 40800 | 40.800 CNY | 1 |
| 42000 | 42.000 CNY | 4 |
| 43200 | 43.200 CNY | 1 |
| 44400 | 44.400 CNY | 1 |
| 45000 | 45.000 CNY | 7 |
| 45600 | 45.600 CNY | 1 |
| 46000 | 46.000 CNY | 2 |
| 46200 | 46.200 CNY | 1 |
| 47100 | 47.100 CNY | 1 |
| 48000 | 48.000 CNY | 13 |
| 50000 | 50.000 CNY | 86 |
| 51000 | 51.000 CNY | 1 |
| 54000 | 54.000 CNY | 1 |
| 55000 | 55.000 CNY | 1 |
| 56000 | 56.000 CNY | 1 |
| 56400 | 56.400 CNY | 1 |
| 60000 | 60.000 CNY | 55 |
| 65000 | 65.000 CNY | 3 |
| 69600 | 69.600 CNY | 2 |
| 70000 | 70.000 CNY | 20 |
| 72000 | 72.000 CNY | 1 |
| 80000 | 80.000 CNY | 18 |
| 84000 | 84.000 CNY | 1 |
| 85000 | 85.000 CNY | 1 |
| 90000 | 90.000 CNY | 6 |
| 96000 | 96.000 CNY | 1 |
| 99000 | 99.000 CNY | 1 |
| 100000 | 100.000 CNY | 41 |
| 110000 | 110.000 CNY | 3 |
| 120000 | 120.000 CNY | 7 |
| 130000 | 130.000 CNY | 1 |
| 140000 | 140.000 CNY | 1 |
| 150000 | 150.000 CNY | 6 |
| 180000 | 180.000 CNY | 1 |
| 200000 | 200.000 CNY | 9 |
| 240000 | 240.000 CNY | 2 |
| 250000 | 250.000 CNY | 1 |
| 300000 | 300.000 CNY | 1 |
| 500000 | 500.000 CNY | 1 |
| 800000 | 800.000 CNY per year | 1 |
| 9999996 | The annual income is more than a million | 4 |
| 9999990 | NAP, other countries | 49873 |
| 9999997 | Refused | 36 |
| 9999998 | Don't know | 23 |
| 9999999 | No answer | 41 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1695 | 49973 | 0 | 9999996 |
Valid range from 0 to 9999996
CZ_RINC Country specific personal income: Czech Republic
| Value 327116 | Frequency | |
|---|---|---|
| 0 | No income | 65 |
| 2500 | Up to 4.999 CZK per month | 37 |
| 6500 | 5.000–7.999 CZK | 74 |
| 9000 | 8.000–9.999 CZK | 98 |
| 11000 | 10.000–11.999 CZK | 199 |
| 13000 | 12.000–13.999 CZK | 161 |
| 15000 | 14.000–15.999 CZK | 99 |
| 17000 | 16.000–17.999 CZK | 80 |
| 19000 | 18.000–19.999 CZK | 64 |
| 21500 | 20.000–22.999 CZK | 74 |
| 24500 | 23.000–25.999 CZK | 51 |
| 28000 | 26.000–29.999 CZK | 41 |
| 40000 | 30.000–49.999 CZK | 49 |
| 65000 | More than 50.000 CZK per month | 30 |
| 999990 | NAP, all other countries | 50233 |
| 999997 | Refused | 292 |
| 999998 | Don't know | 21 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1122 | 50546 | 0 | 65000 |
Valid range from 0 to 65000
DE_RINC Country specific personal income: Germany
| Value 328115 | Frequency | |
|---|---|---|
| 0 | No income | 66 |
| 50 | 50 EUR per month | 1 |
| 65 | 65 EUR | 1 |
| 100 | 100/Less than 200 EUR | 6 |
| 136 | 136 EUR | 1 |
| 150 | 150 EUR | 3 |
| 165 | 165 EUR | 1 |
| 184 | 184 EUR | 1 |
| 200 | 200 EUR | 5 |
| 240 | 240 EUR | 1 |
| 250 | 250/200-299 EUR | 4 |
| 261 | 261 EUR | 1 |
| 266 | 266 EUR | 1 |
| 270 | 270 EUR | 1 |
| 280 | 280 EUR | 4 |
| 291 | 291 EUR | 1 |
| 300 | 300 EUR | 15 |
| 320 | 320 EUR | 1 |
| 330 | 330 EUR | 1 |
| 340 | 340 EUR | 1 |
| 350 | 350/300-399 EUR | 5 |
| 358 | 358 EUR | 1 |
| 359 | 359 EUR | 1 |
| 360 | 360 EUR | 4 |
| 368 | 368 EUR | 1 |
| 370 | 370 EUR | 2 |
| 379 | 379 EUR | 1 |
| 380 | 380 EUR | 3 |
| 399 | 399 EUR | 1 |
| 400 | 400 EUR | 14 |
| 404 | 404 EUR | 3 |
| 408 | 408 EUR | 1 |
| 415 | 415 EUR | 1 |
| 420 | 420 EUR | 4 |
| 430 | 430 EUR | 2 |
| 435 | 435 EUR | 1 |
| 440 | 440 EUR | 2 |
| 450 | 450/400-499 EUR | 35 |
| 460 | 460 EUR | 2 |
| 478 | 478 EUR | 1 |
| 480 | 480 EUR | 2 |
| 485 | 485 EUR | 1 |
| 500 | 500 EUR | 18 |
| 512 | 512 EUR | 1 |
| 515 | 515 EUR | 1 |
| 520 | 520 EUR | 2 |
| 528 | 528 EUR | 2 |
| 550 | 550 EUR | 7 |
| 556 | 556 EUR | 1 |
| 562 | 562/500-624 EUR | 3 |
| 564 | 564 EUR | 1 |
| 570 | 570 EUR | 2 |
| 576 | 576 EUR | 1 |
| 580 | 580 EUR | 2 |
| 586 | 586 EUR | 1 |
| 590 | 590 EUR | 2 |
| 597 | 597 EUR | 1 |
| 600 | 600 EUR | 20 |
| 607 | 607 EUR | 1 |
| 620 | 620 EUR | 2 |
| 625 | 625 EUR | 2 |
| 630 | 630 EUR | 3 |
| 640 | 640 EUR | 1 |
| 650 | 650 EUR | 11 |
| 660 | 660 EUR | 1 |
| 662 | 662 EUR | 1 |
| 665 | 665 EUR | 1 |
| 668 | 668 EUR | 1 |
| 670 | 670 EUR | 4 |
| 675 | 675 EUR | 1 |
| 680 | 680 EUR | 3 |
| 687 | 687/625-749 EUR | 4 |
| 700 | 700 EUR | 25 |
| 705 | 705 EUR | 1 |
| 710 | 710 EUR | 3 |
| 714 | 714 EUR | 1 |
| 720 | 720 EUR | 3 |
| 726 | 726 EUR | 1 |
| 730 | 730 EUR | 3 |
| 735 | 735 EUR | 2 |
| 736 | 736 EUR | 1 |
| 750 | 750 EUR | 8 |
| 760 | 760 EUR | 2 |
| 765 | 765 EUR | 1 |
| 780 | 780 EUR | 1 |
| 790 | 790 EUR | 1 |
| 795 | 795 EUR | 2 |
| 799 | 799 EUR | 2 |
| 800 | 800 EUR | 27 |
| 804 | 804 EUR | 1 |
| 812 | 812/750-874 EUR | 9 |
| 813 | 813 EUR | 1 |
| 816 | 816 EUR | 1 |
| 820 | 820 EUR | 3 |
| 830 | 830 EUR | 1 |
| 840 | 840 EUR | 2 |
| 850 | 850 EUR | 7 |
| 860 | 860 EUR | 4 |
| 875 | 875 EUR | 3 |
| 900 | 900 EUR | 25 |
| 901 | 901 EUR | 1 |
| 913 | 913 EUR | 1 |
| 920 | 920 EUR | 2 |
| 930 | 930 EUR | 2 |
| 936 | 936 EUR | 1 |
| 937 | 937/875-999 EUR | 11 |
| 938 | 938 EUR | 1 |
| 944 | 944 EUR | 1 |
| 950 | 950 EUR | 10 |
| 955 | 955 EUR | 1 |
| 960 | 960 EUR | 3 |
| 970 | 970 EUR | 2 |
| 980 | 980 EUR | 1 |
| 982 | 982 EUR | 1 |
| 983 | 983 EUR | 1 |
| 990 | 990 EUR | 1 |
| 995 | 995 EUR | 1 |
| 1000 | 1.000 EUR | 50 |
| 1003 | 1.003 EUR | 1 |
| 1028 | 1.028 EUR | 1 |
| 1050 | 1.050 EUR | 6 |
| 1051 | 1.051 EUR | 1 |
| 1054 | 1.054 EUR | 1 |
| 1060 | 1.060 EUR | 1 |
| 1062 | 1.062/1.000-1.124 EUR | 12 |
| 1069 | 1.069 EUR | 1 |
| 1078 | 1.078 EUR | 1 |
| 1080 | 1.080 EUR | 1 |
| 1082 | 1.082 EUR | 1 |
| 1100 | 1.100 EUR | 52 |
| 1140 | 1.140 EUR | 1 |
| 1145 | 1.145 EUR | 1 |
| 1150 | 1.150 EUR | 2 |
| 1185 | 1.185 EUR | 1 |
| 1187 | 1.187/1.125-1.249 EUR | 14 |
| 1200 | 1.200 EUR | 73 |
| 1220 | 1.220 EUR | 3 |
| 1234 | 1.234 EUR | 1 |
| 1250 | 1.250 EUR | 4 |
| 1260 | 1.260 EUR | 2 |
| 1270 | 1.270 EUR | 1 |
| 1275 | 1.275 EUR | 1 |
| 1298 | 1.298 EUR | 1 |
| 1300 | 1.300 EUR | 39 |
| 1311 | 1.311 EUR | 1 |
| 1312 | 1.312/1.250-1.374 EUR | 11 |
| 1313 | 1.313 EUR | 1 |
| 1340 | 1.340 EUR | 1 |
| 1350 | 1.350 EUR | 8 |
| 1370 | 1.370 EUR | 1 |
| 1375 | 1.375 EUR | 2 |
| 1380 | 1.380 EUR | 1 |
| 1388 | 1.388 EUR | 1 |
| 1390 | 1.390 EUR | 1 |
| 1394 | 1.394 EUR | 1 |
| 1400 | 1.400 EUR | 43 |
| 1429 | 1.429 EUR | 1 |
| 1437 | 1.437/1.375-1.499 EUR | 12 |
| 1440 | 1.440 EUR | 1 |
| 1450 | 1.450 EUR | 7 |
| 1460 | 1.460 EUR | 2 |
| 1500 | 1.500 EUR | 66 |
| 1520 | 1.520 EUR | 1 |
| 1527 | 1.527 EUR | 1 |
| 1550 | 1.550 EUR | 5 |
| 1579 | 1.579 EUR | 1 |
| 1590 | 1.590 EUR | 1 |
| 1600 | 1.600 EUR | 38 |
| 1620 | 1.620 EUR | 1 |
| 1625 | 1.625/1.500-1.749 EUR | 20 |
| 1650 | 1.650 EUR | 5 |
| 1680 | 1.680 EUR | 1 |
| 1700 | 1.700 EUR | 28 |
| 1750 | 1.750 EUR | 6 |
| 1780 | 1.780 EUR | 1 |
| 1800 | 1.800 EUR | 47 |
| 1875 | 1.875/1.750-1.999 EUR | 20 |
| 1900 | 1.900 EUR | 21 |
| 1980 | 1.980 EUR | 1 |
| 2000 | 2.000 EUR | 59 |
| 2050 | 2.050 EUR | 3 |
| 2080 | 2.080 EUR | 1 |
| 2100 | 2.100 EUR | 19 |
| 2125 | 2.125/2.000-2.249 EUR | 21 |
| 2150 | 2.150 EUR | 3 |
| 2170 | 2.170 EUR | 1 |
| 2200 | 2.200 EUR | 20 |
| 2250 | 2.250 EUR | 1 |
| 2259 | 2.259 EUR | 1 |
| 2300 | 2.300 EUR | 19 |
| 2350 | 2.350 EUR | 1 |
| 2375 | 2.375/2.250-2.499 EUR | 16 |
| 2400 | 2.400 EUR | 16 |
| 2500 | 2.500 EUR | 37 |
| 2600 | 2.600 EUR | 10 |
| 2625 | 2.625/2.500-2.749 EUR | 6 |
| 2650 | 2.650 EUR | 2 |
| 2700 | 2.700 EUR | 9 |
| 2800 | 2.800 EUR | 7 |
| 2850 | 2.850 EUR | 1 |
| 2875 | 2.875/2.750-2.999 EUR | 17 |
| 2900 | 2.900 EUR | 3 |
| 2950 | 2.950 EUR | 1 |
| 3000 | 3.000 EUR | 45 |
| 3090 | 3.090 EUR | 1 |
| 3100 | 3.100 EUR | 3 |
| 3178 | 3.178 EUR | 1 |
| 3200 | 3.200 EUR | 7 |
| 3300 | 3.300 EUR | 7 |
| 3400 | 3.400 EUR | 6 |
| 3500 | 3.500/3.000-3.999 EUR | 33 |
| 3600 | 3.600 EUR | 4 |
| 3750 | 3.750 EUR | 1 |
| 3800 | 3.800 EUR | 2 |
| 3900 | 3.900 EUR | 1 |
| 4000 | 4.000 EUR | 18 |
| 4100 | 4.100 EUR | 2 |
| 4200 | 4.200 EUR | 6 |
| 4300 | 4.300 EUR | 3 |
| 4400 | 4.400 EUR | 1 |
| 4500 | 4.500/4.000-4.999 EUR | 17 |
| 4600 | 4.600 EUR | 1 |
| 4800 | 4.800 EUR | 2 |
| 5000 | 5.000 EUR | 12 |
| 5500 | 5.500 EUR | 1 |
| 6000 | 6.000 EUR | 3 |
| 6250 | 6.250/5.000-7.499 EUR | 7 |
| 6500 | 6.500 EUR | 1 |
| 7000 | 7.000 EUR | 2 |
| 7300 | 7.300 EUR | 1 |
| 7500 | 7.500/7.500 EUR and above | 6 |
| 8000 | 8.000 EUR | 1 |
| 9500 | 9.500 EUR per month | 1 |
| 999990 | NAP, all other countries | 49981 |
| 999999 | No answer | 98 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1589 | 50079 | 0 | 9500 |
Valid range from 0 to 9500
DK_RINC Country specific personal income: Denmark
| Value 329114 | Frequency | |
|---|---|---|
| 70000 | Below 100.000 DKK per year | 116 |
| 125000 | 100.000-149.999 DKK | 124 |
| 175000 | 150.000-199.999 DKK | 99 |
| 225000 | 200.000-249.999 DKK | 88 |
| 275000 | 250.000-299.999 DKK | 91 |
| 350000 | 300.000-399.999 DKK | 219 |
| 450000 | 400.000-499.999 DKK | 138 |
| 550000 | 500.000-599.999 DKK | 70 |
| 650000 | 600.000-699.999 DKK | 42 |
| 750000 | 700.000 DKK or more per year | 64 |
| 999990 | NAP, all other countries | 50530 |
| 999999 | No answer | 87 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1051 | 50617 | 70000 | 750000 |
Valid range from 70000 to 750000
EE_RINC Country specific personal income: Estonia
| Value 330113 | Frequency | |
|---|---|---|
| 0 | No income | 85 |
| 100 | Up to 200 EUR per month | 43 |
| 250 | 201-300 EUR | 90 |
| 350 | 301-400 EUR | 274 |
| 450 | 401-500 EUR | 141 |
| 550 | 501-600 EUR | 104 |
| 650 | 601-700 EUR | 86 |
| 750 | 701-800 EUR | 59 |
| 850 | 801-900 EUR | 51 |
| 950 | 901-1.000 EUR | 44 |
| 1100 | 1.001-1.200 EUR | 32 |
| 1300 | 1.201-1.400 EUR | 15 |
| 1500 | 1.401-1.600 EUR | 9 |
| 1700 | 1.601-1.800 EUR | 5 |
| 1900 | 1.801-2.000 EUR | 7 |
| 2250 | 2.001-2.500 EUR | 2 |
| 2700 | More than 2.500 EUR per month | 7 |
| 999990 | NAP, all other countries | 50461 |
| 999997 | Refused | 138 |
| 999998 | Don't know | 14 |
| 999999 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1054 | 50614 | 0 | 2700 |
Valid range from 0 to 2700
ES_RINC Country specific personal income: Spain
| Value 331112 | Frequency | |
|---|---|---|
| 0 | No income | 341 |
| 250 | 300 EUR per month or less | 57 |
| 450 | 301-600 EUR | 227 |
| 750 | 601-900 EUR | 264 |
| 1050 | 901-1.200 EUR | 251 |
| 1500 | 1.201-1.800 EUR | 223 |
| 2100 | 1.801-2.400 EUR | 87 |
| 2700 | 2.401-3.000 EUR | 38 |
| 3750 | 3.001-4.500 EUR | 20 |
| 5250 | 4.501-6.000 EUR | 4 |
| 7000 | More than 6.000 EUR per month | 6 |
| 999990 | NAP, all other countries | 49834 |
| 999998 | Don't know | 17 |
| 999999 | No answer | 299 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1518 | 50150 | 0 | 7000 |
Valid range from 0 to 7000
FI_RINC Country specific personal income: Finland
| Value 332111 | Frequency | |
|---|---|---|
| 0 | No income | 42 |
| 20 | 20 EUR per month | 2 |
| 40 | 40 EUR | 1 |
| 70 | 70 EUR | 1 |
| 74 | 74 EUR | 1 |
| 85 | 85 EUR | 1 |
| 91 | 91 EUR | 1 |
| 92 | 92 EUR | 1 |
| 100 | 100 EUR | 4 |
| 117 | 117 EUR | 1 |
| 120 | 120 EUR | 1 |
| 140 | 140 EUR | 2 |
| 150 | 150 EUR | 2 |
| 170 | 170 EUR | 1 |
| 200 | 200 EUR | 4 |
| 215 | 215 EUR | 1 |
| 218 | 218 EUR | 1 |
| 240 | 240 EUR | 1 |
| 250 | 250 EUR | 3 |
| 260 | 260 EUR | 2 |
| 280 | 280 EUR | 1 |
| 300 | 300 EUR | 4 |
| 314 | 314 EUR | 1 |
| 400 | 400 EUR | 6 |
| 450 | 450 EUR | 4 |
| 481 | 481 EUR | 1 |
| 485 | 485 EUR | 1 |
| 490 | 490 EUR | 1 |
| 500 | 500 EUR | 13 |
| 504 | 504 EUR | 1 |
| 505 | 505 EUR | 1 |
| 513 | 513 EUR | 1 |
| 530 | 530 EUR | 2 |
| 535 | 535 EUR | 1 |
| 540 | 540 EUR | 1 |
| 550 | 550 EUR | 2 |
| 590 | 590 EUR | 1 |
| 600 | 600 EUR | 10 |
| 620 | 620 EUR | 1 |
| 630 | 630 EUR | 1 |
| 640 | 640 EUR | 2 |
| 650 | 650 EUR | 7 |
| 670 | 670 EUR | 1 |
| 700 | 700 EUR | 6 |
| 730 | 730 EUR | 1 |
| 750 | 750 EUR | 3 |
| 775 | 775 EUR | 1 |
| 780 | 780 EUR | 2 |
| 800 | 800 EUR | 14 |
| 830 | 830 EUR | 1 |
| 833 | 833 EUR | 1 |
| 850 | 850 EUR | 3 |
| 860 | 860 EUR | 1 |
| 867 | 867 EUR | 1 |
| 880 | 880 EUR | 1 |
| 900 | 900 EUR | 11 |
| 905 | 905 EUR | 1 |
| 911 | 911 EUR | 1 |
| 940 | 940 EUR | 2 |
| 950 | 950 EUR | 1 |
| 970 | 970 EUR | 1 |
| 980 | 980 EUR | 1 |
| 1000 | 1.000 EUR | 28 |
| 1020 | 1.020 EUR | 1 |
| 1040 | 1.040 EUR | 1 |
| 1051 | 1.051 EUR | 1 |
| 1054 | 1.054 EUR | 1 |
| 1060 | 1.060 EUR | 1 |
| 1074 | 1.074 EUR | 1 |
| 1080 | 1.080 EUR | 2 |
| 1088 | 1.088 EUR | 1 |
| 1100 | 1.100 EUR | 13 |
| 1180 | 1.180 EUR | 1 |
| 1185 | 1.185 EUR | 1 |
| 1193 | 1.193 EUR | 1 |
| 1200 | 1.200 EUR | 21 |
| 1222 | 1.222 EUR | 1 |
| 1230 | 1.230 EUR | 1 |
| 1250 | 1.250 EUR | 3 |
| 1260 | 1.260 EUR | 1 |
| 1273 | 1.273 EUR | 1 |
| 1300 | 1.300 EUR | 19 |
| 1325 | 1.325 EUR | 1 |
| 1350 | 1.350 EUR | 2 |
| 1355 | 1.355 EUR | 1 |
| 1399 | 1.399 EUR | 1 |
| 1400 | 1.400 EUR | 21 |
| 1422 | 1.422 EUR | 1 |
| 1450 | 1.450 EUR | 5 |
| 1460 | 1.460 EUR | 1 |
| 1470 | 1.470 EUR | 1 |
| 1500 | 1.500 EUR | 41 |
| 1525 | 1.525 EUR | 1 |
| 1550 | 1.550 EUR | 2 |
| 1565 | 1.565 EUR | 1 |
| 1600 | 1.600 EUR | 21 |
| 1603 | 1.603 EUR | 1 |
| 1628 | 1.628 EUR | 1 |
| 1645 | 1.645 EUR | 1 |
| 1650 | 1.650 EUR | 2 |
| 1700 | 1.700 EUR | 17 |
| 1735 | 1.735 EUR | 1 |
| 1740 | 1.740 EUR | 1 |
| 1750 | 1.750 EUR | 3 |
| 1770 | 1.770 EUR | 1 |
| 1780 | 1.780 EUR | 1 |
| 1795 | 1.795 EUR | 1 |
| 1800 | 1.800 EUR | 17 |
| 1836 | 1.836 EUR | 1 |
| 1840 | 1.840 EUR | 1 |
| 1850 | 1.850 EUR | 5 |
| 1860 | 1.860 EUR | 1 |
| 1900 | 1.900 EUR | 10 |
| 1930 | 1.930 EUR | 2 |
| 1950 | 1.950 EUR | 1 |
| 1960 | 1.960 EUR | 2 |
| 1990 | 1.990 EUR | 1 |
| 2000 | 2.000 EUR | 56 |
| 2040 | 2.040 EUR | 1 |
| 2048 | 2.048 EUR | 1 |
| 2050 | 2.050 EUR | 2 |
| 2060 | 2.060 EUR | 1 |
| 2081 | 2.081 EUR | 1 |
| 2090 | 2.090 EUR | 1 |
| 2100 | 2.100 EUR | 25 |
| 2130 | 2.130 EUR | 1 |
| 2144 | 2.144 EUR | 1 |
| 2190 | 2.190 EUR | 1 |
| 2196 | 2.196 EUR | 1 |
| 2200 | 2.200 EUR | 26 |
| 2205 | 2.205 EUR | 1 |
| 2210 | 2.210 EUR | 1 |
| 2220 | 2.220 EUR | 1 |
| 2240 | 2.240 EUR | 2 |
| 2250 | 2.250 EUR | 2 |
| 2270 | 2.270 EUR | 1 |
| 2300 | 2.300 EUR | 22 |
| 2350 | 2.350 EUR | 6 |
| 2400 | 2.400 EUR | 18 |
| 2500 | 2.500 EUR | 52 |
| 2515 | 2.515 EUR | 1 |
| 2530 | 2.530 EUR | 1 |
| 2550 | 2.550 EUR | 2 |
| 2600 | 2.600 EUR | 15 |
| 2620 | 2.620 EUR | 1 |
| 2660 | 2.660 EUR | 1 |
| 2686 | 2.686 EUR | 1 |
| 2700 | 2.700 EUR | 18 |
| 2730 | 2.730 EUR | 1 |
| 2742 | 2.742 EUR | 1 |
| 2750 | 2.750 EUR | 1 |
| 2770 | 2.770 EUR | 1 |
| 2800 | 2.800 EUR | 21 |
| 2820 | 2.820 EUR | 1 |
| 2830 | 2.830 EUR | 1 |
| 2860 | 2.860 EUR | 2 |
| 2900 | 2.900 EUR | 10 |
| 2917 | 2.917 EUR | 1 |
| 2925 | 2.925 EUR | 1 |
| 2947 | 2.947 EUR | 1 |
| 2980 | 2.980 EUR | 1 |
| 3000 | 3.000 EUR | 55 |
| 3050 | 3.050 EUR | 1 |
| 3100 | 3.100 EUR | 5 |
| 3150 | 3.150 EUR | 1 |
| 3160 | 3.160 EUR | 1 |
| 3200 | 3.200 EUR | 17 |
| 3250 | 3.250 EUR | 1 |
| 3260 | 3.260 EUR | 1 |
| 3300 | 3.300 EUR | 14 |
| 3313 | 3.313 EUR | 1 |
| 3350 | 3.350 EUR | 1 |
| 3400 | 3.400 EUR | 6 |
| 3418 | 3.418 EUR | 1 |
| 3500 | 3.500 EUR | 34 |
| 3520 | 3.520 EUR | 1 |
| 3600 | 3.600 EUR | 6 |
| 3650 | 3.650 EUR | 2 |
| 3700 | 3.700 EUR | 5 |
| 3712 | 3.712 EUR | 1 |
| 3750 | 3.750 EUR | 5 |
| 3800 | 3.800 EUR | 10 |
| 3900 | 3.900 EUR | 6 |
| 4000 | 4.000 EUR | 26 |
| 4070 | 4.070 EUR | 1 |
| 4100 | 4.100 EUR | 4 |
| 4178 | 4.178 EUR | 1 |
| 4200 | 4.200 EUR | 7 |
| 4300 | 4.300 EUR | 3 |
| 4350 | 4.350 EUR | 1 |
| 4362 | 4.362 EUR | 1 |
| 4400 | 4.400 EUR | 6 |
| 4430 | 4.430 EUR | 1 |
| 4500 | 4.500 EUR | 19 |
| 4560 | 4.560 EUR | 1 |
| 4600 | 4.600 EUR | 6 |
| 4650 | 4.650 EUR | 1 |
| 4700 | 4.700 EUR | 3 |
| 4800 | 4.800 EUR | 2 |
| 4900 | 4.900 EUR | 2 |
| 5000 | 5.000 EUR | 18 |
| 5200 | 5.200 EUR | 6 |
| 5400 | 5.400 EUR | 3 |
| 5500 | 5.500 EUR | 8 |
| 5600 | 5.600 EUR | 1 |
| 5800 | 5.800 EUR | 1 |
| 5860 | 5.860 EUR | 1 |
| 5900 | 5.900 EUR | 1 |
| 6000 | 6.000 EUR | 12 |
| 6100 | 6.100 EUR | 1 |
| 6200 | 6.200 EUR | 2 |
| 6250 | 6.250 EUR | 2 |
| 6400 | 6.400 EUR | 1 |
| 6500 | 6.500 EUR | 5 |
| 6600 | 6.600 EUR | 1 |
| 6800 | 6.800 EUR | 1 |
| 7000 | 7.000 EUR | 8 |
| 7500 | 7.500 EUR | 2 |
| 8000 | 8.000 EUR | 3 |
| 8333 | 8.333 EUR | 1 |
| 8500 | 8.500 EUR | 1 |
| 9000 | 9.000 EUR | 3 |
| 9250 | 9.250 EUR | 1 |
| 9400 | 9.400 EUR | 1 |
| 10500 | 10.500 EUR | 1 |
| 11000 | 11.000 EUR | 2 |
| 11500 | 11.500 EUR | 1 |
| 14000 | 14.000 EUR | 1 |
| 18000 | 18.000 EUR | 1 |
| 20000 | 20.000 EUR | 1 |
| 25000 | 25.000 EUR | 1 |
| 30000 | 30.000 EUR | 1 |
| 31000 | 31.000 EUR | 1 |
| 42000 | 42.000 EUR | 1 |
| 50000 | 50.000 EUR per month | 1 |
| 999990 | NAP, all other countries | 50465 |
| 999999 | No answer | 79 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1124 | 50544 | 0 | 50000 |
Valid range from 0 to 50000
FR_RINC Country specific personal income: France
| Value 333110 | Frequency | |
|---|---|---|
| 0 | No income | 20 |
| 50 | 50 EUR per month | 1 |
| 100 | 100 EUR | 1 |
| 120 | 120 EUR | 1 |
| 180 | 180 EUR | 1 |
| 200 | 200 EUR | 3 |
| 250 | 250 EUR | 1 |
| 300 | 300 EUR | 1 |
| 305 | 305 EUR | 1 |
| 350 | 350 EUR | 2 |
| 395 | 395 EUR | 1 |
| 400 | 400 EUR | 5 |
| 414 | 414 EUR | 1 |
| 434 | 434 EUR | 1 |
| 440 | 440 EUR | 3 |
| 450 | 450 EUR | 3 |
| 452 | 452 EUR | 2 |
| 460 | 460 EUR | 2 |
| 465 | 465 EUR | 1 |
| 499 | 499 EUR | 2 |
| 500 | 500 EUR | 7 |
| 511 | 511 EUR | 1 |
| 520 | 520 EUR | 1 |
| 595 | 595 EUR | 1 |
| 600 | 600 EUR | 5 |
| 627 | 627 EUR | 1 |
| 640 | 640 EUR | 1 |
| 650 | 650 EUR | 5 |
| 670 | 670 EUR | 1 |
| 680 | 680 EUR | 2 |
| 700 | 700 EUR | 10 |
| 737 | 737 EUR | 1 |
| 750 | 750 EUR | 5 |
| 752 | 752 EUR | 1 |
| 756 | 756 EUR | 1 |
| 757 | 757 EUR | 1 |
| 764 | 764 EUR | 1 |
| 780 | 780 EUR | 1 |
| 790 | 790 EUR | 1 |
| 800 | 800 EUR | 13 |
| 850 | 850 EUR | 2 |
| 885 | 885 EUR | 1 |
| 890 | 890 EUR | 1 |
| 900 | 900 EUR | 12 |
| 905 | 905 EUR | 1 |
| 909 | 909 EUR | 1 |
| 930 | 930 EUR | 1 |
| 941 | 941 EUR | 1 |
| 950 | 950 EUR | 2 |
| 960 | 960 EUR | 1 |
| 980 | 980 EUR | 1 |
| 1000 | 1.000 EUR | 14 |
| 1008 | 1.008 EUR | 1 |
| 1016 | 1.016 EUR | 1 |
| 1050 | 1.050 EUR | 1 |
| 1055 | 1.055 EUR | 1 |
| 1070 | 1.070 EUR | 1 |
| 1078 | 1.078 EUR | 1 |
| 1088 | 1.088 EUR | 1 |
| 1090 | 1.090 EUR | 1 |
| 1100 | 1.100 EUR | 31 |
| 1115 | 1.115 EUR | 1 |
| 1117 | 1.117 EUR | 1 |
| 1130 | 1.130 EUR | 1 |
| 1150 | 1.150 EUR | 5 |
| 1175 | 1.175 EUR | 1 |
| 1180 | 1.180 EUR | 2 |
| 1186 | 1.186 EUR | 1 |
| 1200 | 1.200 EUR | 41 |
| 1235 | 1.235 EUR | 2 |
| 1240 | 1.240 EUR | 2 |
| 1250 | 1.250 EUR | 3 |
| 1251 | 1.251 EUR | 1 |
| 1267 | 1.267 EUR | 1 |
| 1280 | 1.280 EUR | 2 |
| 1300 | 1.300 EUR | 24 |
| 1319 | 1.319 EUR | 1 |
| 1320 | 1.320 EUR | 1 |
| 1335 | 1.335 EUR | 1 |
| 1340 | 1.340 EUR | 1 |
| 1349 | 1.349 EUR | 1 |
| 1350 | 1.350 EUR | 8 |
| 1371 | 1.371 EUR | 1 |
| 1375 | 1.375 EUR | 1 |
| 1380 | 1.380 EUR | 3 |
| 1386 | 1.386 EUR | 1 |
| 1398 | 1.398 EUR | 1 |
| 1400 | 1.400 EUR | 29 |
| 1439 | 1.439 EUR | 1 |
| 1450 | 1.450 EUR | 4 |
| 1460 | 1.460 EUR | 1 |
| 1490 | 1.490 EUR | 1 |
| 1500 | 1.500 EUR | 61 |
| 1510 | 1.510 EUR | 1 |
| 1540 | 1.540 EUR | 1 |
| 1550 | 1.550 EUR | 4 |
| 1559 | 1.559 EUR | 1 |
| 1560 | 1.560 EUR | 2 |
| 1586 | 1.586 EUR | 1 |
| 1590 | 1.590 EUR | 1 |
| 1600 | 1.600 EUR | 23 |
| 1610 | 1.610 EUR | 1 |
| 1620 | 1.620 EUR | 2 |
| 1636 | 1.636 EUR | 1 |
| 1650 | 1.650 EUR | 4 |
| 1670 | 1.670 EUR | 1 |
| 1680 | 1.680 EUR | 1 |
| 1700 | 1.700 EUR | 27 |
| 1702 | 1.702 EUR | 1 |
| 1720 | 1.720 EUR | 2 |
| 1730 | 1.730 EUR | 1 |
| 1740 | 1.740 EUR | 1 |
| 1747 | 1.747 EUR | 1 |
| 1750 | 1.750 EUR | 4 |
| 1760 | 1.760 EUR | 2 |
| 1780 | 1.780 EUR | 1 |
| 1790 | 1.790 EUR | 2 |
| 1800 | 1.800 EUR | 41 |
| 1820 | 1.820 EUR | 1 |
| 1840 | 1.840 EUR | 1 |
| 1845 | 1.845 EUR | 1 |
| 1850 | 1.850 EUR | 5 |
| 1878 | 1.878 EUR | 1 |
| 1890 | 1.890 EUR | 1 |
| 1900 | 1.900 EUR | 19 |
| 1916 | 1.916 EUR | 1 |
| 1947 | 1.947 EUR | 1 |
| 1950 | 1.950 EUR | 2 |
| 1980 | 1.980 EUR | 2 |
| 1997 | 1.997 EUR | 1 |
| 2000 | 2.000 EUR | 73 |
| 2039 | 2.039 EUR | 1 |
| 2082 | 2.082 EUR | 1 |
| 2100 | 2.100 EUR | 22 |
| 2102 | 2.102 EUR | 1 |
| 2123 | 2.123 EUR | 1 |
| 2179 | 2.179 EUR | 1 |
| 2200 | 2.200 EUR | 24 |
| 2234 | 2.234 EUR | 1 |
| 2270 | 2.270 EUR | 2 |
| 2300 | 2.300 EUR | 17 |
| 2350 | 2.350 EUR | 2 |
| 2400 | 2.400 EUR | 13 |
| 2500 | 2.500 EUR | 31 |
| 2550 | 2.550 EUR | 1 |
| 2600 | 2.600 EUR | 12 |
| 2650 | 2.650 EUR | 1 |
| 2655 | 2.655 EUR | 1 |
| 2700 | 2.700 EUR | 9 |
| 2750 | 2.750 EUR | 4 |
| 2800 | 2.800 EUR | 9 |
| 2830 | 2.830 EUR | 1 |
| 2900 | 2.900 EUR | 2 |
| 3000 | 3.000 EUR | 43 |
| 3100 | 3.100 EUR | 2 |
| 3200 | 3.200 EUR | 7 |
| 3250 | 3.250 EUR | 1 |
| 3300 | 3.300 EUR | 7 |
| 3450 | 3.450 EUR | 1 |
| 3500 | 3.500 EUR | 20 |
| 3600 | 3.600 EUR | 4 |
| 3650 | 3.650 EUR | 1 |
| 3700 | 3.700 EUR | 2 |
| 3750 | 3.750 EUR | 2 |
| 3800 | 3.800 EUR | 4 |
| 3847 | 3.847 EUR | 1 |
| 4000 | 4.000 EUR | 17 |
| 4300 | 4.300 EUR | 3 |
| 4400 | 4.400 EUR | 2 |
| 4500 | 4.500 EUR | 8 |
| 4800 | 4.800 EUR | 1 |
| 4900 | 4.900 EUR | 1 |
| 5000 | 5.000 EUR | 9 |
| 5200 | 5.200 EUR | 1 |
| 5500 | 5.500 EUR | 2 |
| 5600 | 5.600 EUR | 1 |
| 6000 | 6.000 EUR | 7 |
| 6200 | 6.200 EUR | 1 |
| 6500 | 6.500 EUR | 3 |
| 7000 | 7.000 EUR | 5 |
| 7500 | 7.500 EUR | 3 |
| 8938 | 8.938 EUR | 1 |
| 9000 | 9.000 EUR | 2 |
| 10000 | 10.000 EUR | 3 |
| 10200 | 10.200 EUR | 1 |
| 11000 | 11.000 EUR | 1 |
| 12000 | 12.000 EUR | 1 |
| 12800 | 12.800 EUR | 1 |
| 14500 | 14.500 EUR | 1 |
| 16000 | 16.000 EUR | 1 |
| 16500 | 16.500 EUR | 1 |
| 17000 | 17.000 EUR | 1 |
| 18000 | 18.000 EUR | 1 |
| 18400 | 18.400 EUR | 1 |
| 19000 | 19.000 EUR | 1 |
| 19415 | 19.415 EUR | 1 |
| 20000 | 20.000 EUR | 3 |
| 21000 | 21.000 EUR | 2 |
| 22000 | 22.000 EUR | 1 |
| 23000 | 23.000 EUR | 1 |
| 24000 | 24.000 EUR | 1 |
| 28600 | 28.600 EUR | 1 |
| 30000 | 30.000 EUR | 1 |
| 33000 | 33.000 EUR | 2 |
| 35000 | 35.000 EUR | 1 |
| 36000 | 36.000 EUR | 1 |
| 43400 | 43.400 EUR | 1 |
| 45000 | 45.000 EUR | 1 |
| 50000 | 50.000 EUR | 3 |
| 60000 | 60.000 EUR per month | 1 |
| 999990 | NAP, all other countries | 50444 |
| 999999 | No answer | 239 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 985 | 50683 | 0 | 60000 |
Valid range from 0 to 60000
GB_RINC Country specific personal income: Great Britain (GB-GBN)
| Value 334109 | Frequency | |
|---|---|---|
| 0 | No income, not in paid work | 885 |
| 270 | Less than 430 GBP per month, before taxes | 64 |
| 590 | 431-780 GBP | 61 |
| 930 | 781-1.100 GBP | 102 |
| 1200 | 1.101-1.300 GBP | 84 |
| 1400 | 1.301-1.600 GBP | 100 |
| 1700 | 1.601-1.800 GBP | 88 |
| 2000 | 1.801-2.200 GBP | 91 |
| 2500 | 2.201-2.700 GBP | 83 |
| 3100 | 2.701-3.600 GBP | 74 |
| 4900 | 3.601 or more GBP per month, before taxes | 106 |
| 999990 | NAP, all other countries | 49875 |
| 999997 | Refused | 55 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1738 | 49930 | 0 | 4900 |
Valid range from 0 to 4900
GE_RINC Country specific personal income: Georgia
| Value 335108 | Frequency | |
|---|---|---|
| 0 | No income, refused, no answer | 989 |
| 22 | 22 GEL per month, after taxes | 1 |
| 40 | 40 GEL | 4 |
| 42 | 42 GEL | 1 |
| 45 | 45 GEL | 5 |
| 48 | 48 GEL | 1 |
| 50 | 50 GEL | 9 |
| 54 | 54 GEL | 1 |
| 60 | 60 GEL | 5 |
| 70 | 70 GEL | 1 |
| 80 | 80 GEL | 2 |
| 97 | 97 GEL | 1 |
| 100 | 100 GEL | 21 |
| 110 | 110 GEL | 2 |
| 120 | 120 GEL | 3 |
| 125 | 125 GEL | 2 |
| 128 | 128 GEL | 1 |
| 130 | 130 GEL | 1 |
| 135 | 135 GEL | 2 |
| 144 | 144 GEL | 2 |
| 145 | 145 GEL | 1 |
| 148 | 148 GEL | 1 |
| 150 | 150 GEL | 13 |
| 160 | 160 GEL | 31 |
| 176 | 176 GEL | 1 |
| 180 | 180 GEL | 8 |
| 182 | 182 GEL | 1 |
| 183 | 183 GEL | 1 |
| 190 | 190 GEL | 2 |
| 200 | 200 GEL | 28 |
| 205 | 205 GEL | 2 |
| 220 | 220 GEL | 5 |
| 225 | 225 GEL | 2 |
| 228 | 228 GEL | 1 |
| 230 | 230 GEL | 1 |
| 240 | 240 GEL | 6 |
| 245 | 245 GEL | 1 |
| 248 | 248 GEL | 1 |
| 250 | 250 GEL | 10 |
| 260 | 260 GEL | 6 |
| 268 | 268 GEL | 1 |
| 275 | 275 GEL | 1 |
| 280 | 280 GEL | 3 |
| 290 | 290 GEL | 1 |
| 300 | 300 GEL | 35 |
| 320 | 320 GEL | 7 |
| 327 | 327 GEL | 1 |
| 340 | 340 GEL | 2 |
| 350 | 350 GEL | 13 |
| 355 | 355 GEL | 1 |
| 358 | 358 GEL | 1 |
| 360 | 360 GEL | 6 |
| 368 | 368 GEL | 1 |
| 380 | 380 GEL | 2 |
| 382 | 382 GEL | 1 |
| 395 | 395 GEL | 1 |
| 399 | 399 GEL | 1 |
| 400 | 400 GEL | 40 |
| 410 | 410 GEL | 1 |
| 424 | 424 GEL | 1 |
| 425 | 425 GEL | 1 |
| 430 | 430 GEL | 1 |
| 433 | 433 GEL | 1 |
| 440 | 440 GEL | 1 |
| 450 | 450 GEL | 11 |
| 460 | 460 GEL | 3 |
| 470 | 470 GEL | 1 |
| 480 | 480 GEL | 1 |
| 498 | 498 GEL | 1 |
| 500 | 500 GEL | 36 |
| 505 | 505 GEL | 1 |
| 520 | 520 GEL | 3 |
| 544 | 544 GEL | 1 |
| 550 | 550 GEL | 3 |
| 563 | 563 GEL | 1 |
| 568 | 568 GEL | 1 |
| 580 | 580 GEL | 1 |
| 600 | 600 GEL | 12 |
| 628 | 628 GEL | 1 |
| 650 | 650 GEL | 3 |
| 667 | 667 GEL | 1 |
| 688 | 688 GEL | 1 |
| 690 | 690 GEL | 1 |
| 700 | 700 GEL | 9 |
| 703 | 703 GEL | 1 |
| 718 | 718 GEL | 1 |
| 750 | 750 GEL | 3 |
| 800 | 800 GEL | 12 |
| 820 | 820 GEL | 1 |
| 840 | 840 GEL | 1 |
| 850 | 850 GEL | 2 |
| 900 | 900 GEL | 5 |
| 920 | 920 GEL | 1 |
| 930 | 930 GEL | 1 |
| 945 | 945 GEL | 1 |
| 1000 | 1.000 GEL | 26 |
| 1055 | 1.055 GEL | 1 |
| 1090 | 1.090 GEL | 1 |
| 1100 | 1.100 GEL | 4 |
| 1200 | 1.200 GEL | 5 |
| 1250 | 1.250 GEL | 1 |
| 1276 | 1.276 GEL | 1 |
| 1300 | 1.300 GEL | 1 |
| 1400 | 1.400 GEL | 4 |
| 1480 | 1.480 GEL | 1 |
| 1500 | 1.500 GEL | 4 |
| 1858 | 1.858 GEL | 1 |
| 1900 | 1.900 GEL | 1 |
| 2000 | 2.000 GEL | 4 |
| 2125 | 2.125 GEL | 1 |
| 2200 | 2.200 GEL | 1 |
| 2300 | 2.300 GEL | 1 |
| 2500 | 2.500 GEL | 1 |
| 2600 | 2.600 GEL | 1 |
| 3000 | 3.000 GEL | 2 |
| 3400 | 3.400 GEL | 1 |
| 3500 | 3.500 GEL | 1 |
| 4500 | 4.500 GEL | 1 |
| 10000 | 10.000 GEL per month, after taxes | 1 |
| 999990 | NAP, all other countries | 50181 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1487 | 50181 | 0 | 10000 |
Valid range from 0 to 10000
HR_RINC Country specific personal income: Croatia
| Value 336107 | Frequency | |
|---|---|---|
| 140 | 140 HRK per month, net | 1 |
| 200 | 200 HRK | 1 |
| 300 | 300 HRK | 1 |
| 400 | 400 HRK | 1 |
| 500 | 500 HRK | 2 |
| 600 | 600 HRK | 1 |
| 800 | 800 HRK | 15 |
| 890 | 890 HRK | 1 |
| 900 | 900 HRK | 5 |
| 907 | 907 HRK | 1 |
| 920 | 920 HRK | 1 |
| 940 | 940 HRK | 1 |
| 950 | 950 HRK | 2 |
| 1000 | 1.000 HRK | 6 |
| 1100 | 1.100 HRK | 5 |
| 1200 | 1.200 HRK | 3 |
| 1300 | 1.300 HRK | 1 |
| 1400 | 1.400 HRK | 5 |
| 1500 | 1.500 HRK | 6 |
| 1540 | 1.540 HRK | 1 |
| 1600 | 1.600 HRK | 10 |
| 1700 | 1.700 HRK | 4 |
| 1750 | 1.750 HRK | 1 |
| 1800 | 1.800 HRK | 12 |
| 1820 | 1.820 HRK | 1 |
| 1850 | 1.850 HRK | 2 |
| 1860 | 1.860 HRK | 1 |
| 1900 | 1.900 HRK | 5 |
| 1914 | 1.914 HRK | 1 |
| 1950 | 1.950 HRK | 1 |
| 1977 | 1.977 HRK | 1 |
| 1980 | 1.980 HRK | 1 |
| 2000 | 2.000 HRK | 12 |
| 2022 | 2.022 HRK | 1 |
| 2038 | 2.038 HRK | 1 |
| 2056 | 2.056 HRK | 1 |
| 2100 | 2.100 HRK | 3 |
| 2103 | 2.103 HRK | 1 |
| 2150 | 2.150 HRK | 1 |
| 2200 | 2.200 HRK | 6 |
| 2300 | 2.300 HRK | 8 |
| 2360 | 2.360 HRK | 1 |
| 2382 | 2.382 HRK | 1 |
| 2400 | 2.400 HRK | 8 |
| 2500 | 2.500 HRK | 21 |
| 2600 | 2.600 HRK | 7 |
| 2638 | 2.638 HRK | 1 |
| 2680 | 2.680 HRK | 1 |
| 2690 | 2.690 HRK | 1 |
| 2700 | 2.700 HRK | 4 |
| 2800 | 2.800 HRK | 16 |
| 2850 | 2.850 HRK | 2 |
| 2900 | 2.900 HRK | 5 |
| 3000 | 3.000 HRK | 41 |
| 3050 | 3.050 HRK | 1 |
| 3100 | 3.100 HRK | 6 |
| 3200 | 3.200 HRK | 25 |
| 3230 | 3.230 HRK | 1 |
| 3300 | 3.300 HRK | 4 |
| 3400 | 3.400 HRK | 10 |
| 3500 | 3.500 HRK | 40 |
| 3600 | 3.600 HRK | 3 |
| 3700 | 3.700 HRK | 3 |
| 3800 | 3.800 HRK | 10 |
| 3820 | 3.820 HRK | 1 |
| 3900 | 3.900 HRK | 2 |
| 3950 | 3.950 HRK | 1 |
| 4000 | 4.000 HRK | 43 |
| 4100 | 4.100 HRK | 1 |
| 4200 | 4.200 HRK | 12 |
| 4250 | 4.250 HRK | 1 |
| 4300 | 4.300 HRK | 2 |
| 4400 | 4.400 HRK | 2 |
| 4500 | 4.500 HRK | 32 |
| 4600 | 4.600 HRK | 2 |
| 4745 | 4.745 HRK | 1 |
| 4800 | 4.800 HRK | 4 |
| 4850 | 4.850 HRK | 1 |
| 4900 | 4.900 HRK | 2 |
| 4980 | 4.980 HRK | 1 |
| 5000 | 5.000 HRK | 32 |
| 5050 | 5.050 HRK | 1 |
| 5100 | 5.100 HRK | 2 |
| 5124 | 5.124 HRK | 1 |
| 5200 | 5.200 HRK | 6 |
| 5300 | 5.300 HRK | 2 |
| 5400 | 5.400 HRK | 6 |
| 5500 | 5.500 HRK | 10 |
| 5600 | 5.600 HRK | 5 |
| 5700 | 5.700 HRK | 2 |
| 5800 | 5.800 HRK | 4 |
| 6000 | 6.000 HRK | 21 |
| 6100 | 6.100 HRK | 2 |
| 6300 | 6.300 HRK | 2 |
| 6350 | 6.350 HRK | 1 |
| 6500 | 6.500 HRK | 7 |
| 6800 | 6.800 HRK | 2 |
| 6900 | 6.900 HRK | 1 |
| 7000 | 7.000 HRK | 15 |
| 7090 | 7.090 HRK | 1 |
| 7200 | 7.200 HRK | 1 |
| 7500 | 7.500 HRK | 10 |
| 8000 | 8.000 HRK | 8 |
| 8200 | 8.200 HRK | 1 |
| 8900 | 8.900 HRK | 1 |
| 9000 | 9.000 HRK | 2 |
| 9500 | 9.500 HRK | 2 |
| 10000 | 10.000 HRK | 8 |
| 11000 | 11.000 HRK | 1 |
| 11200 | 11.200 HRK | 1 |
| 14100 | 14.100 HRK | 1 |
| 16000 | 16.000 HRK per month, net | 2 |
| 999990 | NAP, all other countries | 50668 |
| 999999 | No answer | 385 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 615 | 51053 | 140 | 16000 |
Valid range from 140 to 16000
HU_RINC Country specific personal income: Hungary
| Value 337106 | Frequency | |
|---|---|---|
| 10000 | 10.000 HUF per month | 2 |
| 12000 | 12.000 HUF | 1 |
| 12200 | 12.200 HUF | 1 |
| 22800 | 22.800 HUF | 7 |
| 23000 | 23.000 HUF | 4 |
| 24000 | 24.000 HUF | 1 |
| 25000 | 25.000 HUF | 2 |
| 27000 | 27.000 HUF | 1 |
| 28000 | 28.000 HUF | 4 |
| 28500 | 28.500 HUF | 4 |
| 29000 | 29.000 HUF | 3 |
| 29300 | 29.300 HUF | 1 |
| 30000 | 30.000 HUF | 5 |
| 32000 | 32.000 HUF | 1 |
| 33600 | 33.600 HUF | 1 |
| 35000 | 35.000 HUF | 2 |
| 35500 | 35.500 HUF | 1 |
| 36000 | 36.000 HUF | 2 |
| 38000 | 38.000 HUF | 1 |
| 40000 | 40.000 HUF | 6 |
| 41500 | 41.500 HUF | 1 |
| 42000 | 42.000 HUF | 5 |
| 43500 | 43.500 HUF | 1 |
| 45000 | 45.000 HUF | 3 |
| 47000 | 47.000 HUF | 3 |
| 47600 | 47.600 HUF | 1 |
| 49000 | 49.000 HUF | 1 |
| 50000 | 50.000 HUF | 8 |
| 50200 | 50.200 HUF | 1 |
| 51000 | 51.000 HUF | 9 |
| 52000 | 52.000 HUF | 5 |
| 53000 | 53.000 HUF | 2 |
| 54000 | 54.000 HUF | 2 |
| 55000 | 55.000 HUF | 14 |
| 55600 | 55.600 HUF | 1 |
| 56000 | 56.000 HUF | 2 |
| 58000 | 58.000 HUF | 2 |
| 59600 | 59.600 HUF | 1 |
| 60000 | 60.000 HUF | 11 |
| 61000 | 61.000 HUF | 2 |
| 62000 | 62.000 HUF | 3 |
| 63000 | 63.000 HUF | 2 |
| 64000 | 64.000 HUF | 1 |
| 65000 | 65.000 HUF | 3 |
| 65800 | 65.800 HUF | 1 |
| 67000 | 67.000 HUF | 3 |
| 67800 | 67.800 HUF | 1 |
| 68000 | 68.000 HUF | 7 |
| 69000 | 69.000 HUF | 1 |
| 69700 | 69.700 HUF | 1 |
| 70000 | 70.000 HUF | 6 |
| 71000 | 71.000 HUF | 1 |
| 72000 | 72.000 HUF | 4 |
| 73000 | 73.000 HUF | 1 |
| 74000 | 74.000 HUF | 2 |
| 75000 | 75.000 HUF | 13 |
| 76000 | 76.000 HUF | 2 |
| 76040 | 76.040 HUF | 1 |
| 76500 | 76.500 HUF | 1 |
| 76800 | 76.800 HUF | 1 |
| 78000 | 78.000 HUF | 10 |
| 78500 | 78.500 HUF | 1 |
| 79000 | 79.000 HUF | 2 |
| 79800 | 79.800 HUF | 1 |
| 80000 | 80.000 HUF | 13 |
| 83000 | 83.000 HUF | 1 |
| 84000 | 84.000 HUF | 1 |
| 85000 | 85.000 HUF | 48 |
| 85600 | 85.600 HUF | 1 |
| 86000 | 86.000 HUF | 3 |
| 87000 | 87.000 HUF | 1 |
| 87500 | 87.500 HUF | 1 |
| 88000 | 88.000 HUF | 3 |
| 88900 | 88.900 HUF | 1 |
| 89000 | 89.000 HUF | 6 |
| 90000 | 90.000 HUF | 10 |
| 91000 | 91.000 HUF | 3 |
| 92000 | 92.000 HUF | 3 |
| 92500 | 92.500 HUF | 1 |
| 93000 | 93.000 HUF | 4 |
| 94000 | 94.000 HUF | 1 |
| 95000 | 95.000 HUF | 6 |
| 95400 | 95.400 HUF | 1 |
| 96000 | 96.000 HUF | 7 |
| 98000 | 98.000 HUF | 5 |
| 98200 | 98.200 HUF | 1 |
| 99000 | 99.000 HUF | 1 |
| 100000 | 100.000 HUF | 28 |
| 102000 | 102.000 HUF | 2 |
| 102700 | 102.700 HUF | 1 |
| 103000 | 103.000 HUF | 3 |
| 104065 | 104.065 HUF | 1 |
| 104900 | 104.900 HUF | 1 |
| 105000 | 105.000 HUF | 5 |
| 106000 | 106.000 HUF | 1 |
| 107000 | 107.000 HUF | 2 |
| 108000 | 108.000 HUF | 3 |
| 109300 | 109.300 HUF | 1 |
| 110000 | 110.000 HUF | 24 |
| 111000 | 111.000 HUF | 1 |
| 112000 | 112.000 HUF | 1 |
| 114000 | 114.000 HUF | 1 |
| 115000 | 115.000 HUF | 6 |
| 116000 | 116.000 HUF | 1 |
| 117000 | 117.000 HUF | 1 |
| 120000 | 120.000 HUF | 36 |
| 123000 | 123.000 HUF | 2 |
| 123500 | 123.500 HUF | 1 |
| 125000 | 125.000 HUF | 61 |
| 125645 | 125.645 HUF | 1 |
| 127000 | 127.000 HUF | 2 |
| 128000 | 128.000 HUF | 1 |
| 130000 | 130.000 HUF | 28 |
| 133500 | 133.500 HUF | 1 |
| 134000 | 134.000 HUF | 2 |
| 135000 | 135.000 HUF | 3 |
| 136800 | 136.800 HUF | 1 |
| 137000 | 137.000 HUF | 1 |
| 140000 | 140.000 HUF | 13 |
| 141000 | 141.000 HUF | 1 |
| 145000 | 145.000 HUF | 2 |
| 146000 | 146.000 HUF | 1 |
| 146300 | 146.300 HUF | 1 |
| 147000 | 147.000 HUF | 2 |
| 150000 | 150.000 HUF | 20 |
| 152000 | 152.000 HUF | 1 |
| 153000 | 153.000 HUF | 2 |
| 155000 | 155.000 HUF | 1 |
| 156000 | 156.000 HUF | 1 |
| 160000 | 160.000 HUF | 9 |
| 165000 | 165.000 HUF | 3 |
| 168500 | 168.500 HUF | 1 |
| 169800 | 169.800 HUF | 1 |
| 170000 | 170.000 HUF | 5 |
| 174500 | 174.500 HUF | 1 |
| 175000 | 175.000 HUF | 18 |
| 176300 | 176.300 HUF | 1 |
| 179800 | 179.800 HUF | 1 |
| 180000 | 180.000 HUF | 9 |
| 185000 | 185.000 HUF | 1 |
| 187250 | 187.250 HUF | 1 |
| 190000 | 190.000 HUF | 1 |
| 200000 | 200.000 HUF | 16 |
| 205000 | 205.000 HUF | 1 |
| 210000 | 210.000 HUF | 3 |
| 213700 | 213.700 HUF | 1 |
| 220000 | 220.000 HUF | 3 |
| 228000 | 228.000 HUF | 1 |
| 233000 | 233.000 HUF | 1 |
| 250000 | 250.000 HUF | 18 |
| 260000 | 260.000 HUF | 2 |
| 260700 | 260.700 HUF | 1 |
| 270000 | 270.000 HUF | 1 |
| 290000 | 290.000 HUF | 1 |
| 300000 | 300.000 HUF | 4 |
| 310000 | 310.000 HUF | 1 |
| 400000 | 400.000 HUF | 8 |
| 450000 | 450.000 HUF | 1 |
| 500000 | 500.000 HUF | 2 |
| 750000 | 750.000 HUF per month | 2 |
| 999990 | NAP, other countries | 50665 |
| 999997 | Refused | 249 |
| 999998 | Don't know | 51 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 703 | 50965 | 10000 | 750000 |
Valid range from 10000 to 750000
IL_RINC Country specific personal income: Israel
| Value 338105 | Frequency | |
|---|---|---|
| 0 | No income | 66 |
| 1000 | 1.250 ILS and less per month, before taxes | 29 |
| 2125 | 1.251-3.000 ILS | 141 |
| 3500 | 3.001-4.000 ILS | 96 |
| 4350 | 4.001-4.700 ILS | 55 |
| 5100 | 4.701-5.500 ILS | 77 |
| 6100 | 5.501-6.700 ILS | 88 |
| 7450 | 6.701-8.200 ILS | 96 |
| 9100 | 8.201-10.000 ILS | 103 |
| 13000 | 10.001-16.000 ILS | 132 |
| 19000 | More than 16.001 ILS per month, before taxes | 108 |
| 999990 | NAP, all other countries | 50420 |
| 999997 | Refused | 179 |
| 999998 | Don't know | 29 |
| 999999 | No answer | 49 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 991 | 50677 | 0 | 19000 |
Valid range from 0 to 19000
IN_RINC Country specific personal income: India
| Value 339104 | Frequency | |
|---|---|---|
| 1500 | Less than 3.000 INR per month | 191 |
| 4500 | 3.000-6.000 INR | 214 |
| 8000 | 6.001-10.000 INR | 271 |
| 15000 | 10.001-20.000 INR | 427 |
| 35000 | 20.001-50.000 INR | 159 |
| 75000 | 50.001-100.000 INR | 14 |
| 150000 | More than 100.000 INR per month | 3 |
| 999990 | NAP, all other countries | 50332 |
| 999999 | No answer | 57 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1279 | 50389 | 1500 | 150000 |
Valid range from 1500 to 150000
IS_RINC Country specific personal income: Iceland
| Value 340103 | Frequency | |
|---|---|---|
| 16000 | 16.000 ISK per month, before taxes | 1 |
| 32000 | 32.000 ISK | 1 |
| 40000 | 40.000 ISK | 2 |
| 50000 | 50.000 ISK | 1 |
| 60000 | 60.000 ISK | 1 |
| 66000 | 66.000 ISK | 1 |
| 70000 | 70.000 ISK | 1 |
| 80000 | 80.000 ISK | 1 |
| 100000 | 100.000 ISK | 6 |
| 103000 | 103.000 ISK | 1 |
| 110000 | 110.000 ISK | 2 |
| 116000 | 116.000 ISK | 1 |
| 118000 | 118.000 ISK | 1 |
| 120000 | 120.000 ISK | 1 |
| 125000 | 125.000 ISK | 1 |
| 130000 | 130.000 ISK | 3 |
| 133000 | 133.000 ISK | 1 |
| 136298 | 136.298 ISK | 1 |
| 137000 | 137.000 ISK | 1 |
| 142000 | 142.000 ISK | 1 |
| 144000 | 144.000 ISK | 1 |
| 147000 | 147.000 ISK | 1 |
| 149000 | 149.000 ISK | 2 |
| 150000 | 150.000 ISK | 10 |
| 153000 | 153.000 ISK | 1 |
| 160000 | 160.000 ISK | 7 |
| 164000 | 164.000 ISK | 1 |
| 166000 | 166.000 ISK | 1 |
| 167000 | 167.000 ISK | 1 |
| 170000 | 170.000 ISK | 3 |
| 175000 | 175.000 ISK | 3 |
| 176000 | 176.000 ISK | 1 |
| 180000 | 180.000 ISK | 5 |
| 183000 | 183.000 ISK | 1 |
| 184000 | 184.000 ISK | 1 |
| 185000 | 185.000 ISK | 3 |
| 186000 | 186.000 ISK | 1 |
| 190000 | 190.000 ISK | 3 |
| 200000 | 200.000 ISK | 31 |
| 200835 | 200.835 ISK | 1 |
| 202000 | 202.000 ISK | 2 |
| 202054 | 202.054 ISK | 1 |
| 210000 | 210.000 ISK | 4 |
| 212000 | 212.000 ISK | 1 |
| 212729 | 212.729 ISK | 1 |
| 212776 | 212.776 ISK | 1 |
| 215000 | 215.000 ISK | 1 |
| 220000 | 220.000 ISK | 13 |
| 225000 | 225.000 ISK | 1 |
| 230000 | 230.000 ISK | 5 |
| 233000 | 233.000 ISK | 1 |
| 235000 | 235.000 ISK | 1 |
| 240000 | 240.000 ISK | 6 |
| 245000 | 245.000 ISK | 2 |
| 250000 | 250.000 ISK | 22 |
| 259000 | 259.000 ISK | 1 |
| 260000 | 260.000 ISK | 4 |
| 265000 | 265.000 ISK | 1 |
| 266000 | 266.000 ISK | 1 |
| 267769 | 267.769 ISK | 1 |
| 270000 | 270.000 ISK | 3 |
| 275000 | 275.000 ISK | 2 |
| 275408 | 275.408 ISK | 1 |
| 276000 | 276.000 ISK | 1 |
| 277000 | 277.000 ISK | 1 |
| 280000 | 280.000 ISK | 7 |
| 290000 | 290.000 ISK | 5 |
| 296620 | 296.620 ISK | 1 |
| 299000 | 299.000 ISK | 1 |
| 300000 | 300.000 ISK | 31 |
| 303000 | 303.000 ISK | 1 |
| 305000 | 305.000 ISK | 1 |
| 308000 | 308.000 ISK | 1 |
| 310000 | 310.000 ISK | 4 |
| 315000 | 315.000 ISK | 1 |
| 316000 | 316.000 ISK | 2 |
| 320000 | 320.000 ISK | 13 |
| 325000 | 325.000 ISK | 1 |
| 330000 | 330.000 ISK | 7 |
| 333000 | 333.000 ISK | 1 |
| 339999 | 339.999 ISK | 1 |
| 340000 | 340.000 ISK | 6 |
| 342000 | 342.000 ISK | 1 |
| 345000 | 345.000 ISK | 1 |
| 347000 | 347.000 ISK | 1 |
| 350000 | 350.000 ISK | 13 |
| 355000 | 355.000 ISK | 1 |
| 360000 | 360.000 ISK | 5 |
| 365000 | 365.000 ISK | 1 |
| 370000 | 370.000 ISK | 5 |
| 371000 | 371.000 ISK | 1 |
| 380000 | 380.000 ISK | 4 |
| 386676 | 386.676 ISK | 1 |
| 390000 | 390.000 ISK | 4 |
| 396000 | 396.000 ISK | 1 |
| 400000 | 400.000 ISK | 32 |
| 405000 | 405.000 ISK | 1 |
| 407000 | 407.000 ISK | 2 |
| 412000 | 412.000 ISK | 1 |
| 415000 | 415.000 ISK | 2 |
| 420000 | 420.000 ISK | 8 |
| 422000 | 422.000 ISK | 1 |
| 424000 | 424.000 ISK | 1 |
| 425000 | 425.000 ISK | 3 |
| 430000 | 430.000 ISK | 8 |
| 440000 | 440.000 ISK | 6 |
| 442000 | 442.000 ISK | 1 |
| 446000 | 446.000 ISK | 1 |
| 450000 | 450.000 ISK | 35 |
| 456000 | 456.000 ISK | 1 |
| 457000 | 457.000 ISK | 2 |
| 460000 | 460.000 ISK | 3 |
| 470000 | 470.000 ISK | 4 |
| 475000 | 475.000 ISK | 3 |
| 480000 | 480.000 ISK | 5 |
| 485000 | 485.000 ISK | 1 |
| 488000 | 488.000 ISK | 1 |
| 490000 | 490.000 ISK | 6 |
| 492000 | 492.000 ISK | 1 |
| 493000 | 493.000 ISK | 1 |
| 495000 | 495.000 ISK | 1 |
| 500000 | 500.000 ISK | 48 |
| 504000 | 504.000 ISK | 2 |
| 507000 | 507.000 ISK | 1 |
| 510000 | 510.000 ISK | 1 |
| 515000 | 515.000 ISK | 1 |
| 520000 | 520.000 ISK | 4 |
| 522557 | 522.557 ISK | 1 |
| 525000 | 525.000 ISK | 1 |
| 526000 | 526.000 ISK | 1 |
| 530000 | 530.000 ISK | 6 |
| 540000 | 540.000 ISK | 2 |
| 550000 | 550.000 ISK | 23 |
| 560000 | 560.000 ISK | 5 |
| 570000 | 570.000 ISK | 3 |
| 575000 | 575.000 ISK | 2 |
| 580000 | 580.000 ISK | 6 |
| 586000 | 586.000 ISK | 1 |
| 590000 | 590.000 ISK | 1 |
| 600000 | 600.000 ISK | 54 |
| 605000 | 605.000 ISK | 1 |
| 607000 | 607.000 ISK | 1 |
| 610000 | 610.000 ISK | 2 |
| 612000 | 612.000 ISK | 1 |
| 615000 | 615.000 ISK | 1 |
| 620000 | 620.000 ISK | 1 |
| 640000 | 640.000 ISK | 5 |
| 650000 | 650.000 ISK | 14 |
| 654000 | 654.000 ISK | 1 |
| 656000 | 656.000 ISK | 1 |
| 666000 | 666.000 ISK | 1 |
| 680000 | 680.000 ISK | 1 |
| 700000 | 700.000 ISK | 27 |
| 710000 | 710.000 ISK | 1 |
| 720000 | 720.000 ISK | 3 |
| 721298 | 721.298 ISK | 1 |
| 730000 | 730.000 ISK | 2 |
| 743400 | 743.400 ISK | 1 |
| 750000 | 750.000 ISK | 5 |
| 757000 | 757.000 ISK | 1 |
| 770000 | 770.000 ISK | 3 |
| 772000 | 772.000 ISK | 1 |
| 780000 | 780.000 ISK | 1 |
| 800000 | 800.000 ISK | 17 |
| 820000 | 820.000 ISK | 1 |
| 830000 | 830.000 ISK | 1 |
| 835000 | 835.000 ISK | 1 |
| 850000 | 850.000 ISK | 13 |
| 880000 | 880.000 ISK | 2 |
| 885000 | 885.000 ISK | 1 |
| 900000 | 900.000 ISK | 11 |
| 920000 | 920.000 ISK | 1 |
| 930000 | 930.000 ISK | 1 |
| 950000 | 950.000 ISK | 4 |
| 960000 | 960.000 ISK | 2 |
| 980000 | 980.000 ISK | 1 |
| 990000 | 990.000 ISK | 3 |
| 1000000 | 1.000.000 ISK | 8 |
| 1050000 | 1.050.000 ISK | 2 |
| 1080000 | 1.080.000 ISK | 1 |
| 1100000 | 1.100.000 ISK | 7 |
| 1150000 | 1.150.000 ISK | 2 |
| 1160000 | 1.160.000 ISK | 1 |
| 1200000 | 1.200.000 ISK | 11 |
| 1300000 | 1.300.000 ISK | 2 |
| 1400000 | 1.400.000 ISK | 3 |
| 1500000 | 1.500.000 ISK | 5 |
| 1600000 | 1.600.000 ISK | 1 |
| 1650000 | 1.650.000 ISK | 1 |
| 1800000 | 1.800.000 ISK | 1 |
| 2000000 | 2.000.000 ISK | 1 |
| 2100000 | 2.100.000 ISK | 1 |
| 2200000 | 2.200.000 ISK | 1 |
| 3000000 | 3.000.000 ISK per month, before taxes | 1 |
| 9999990 | NAP, all other countries | 50542 |
| 9999997 | Refused | 256 |
| 9999998 | Don't know | 9 |
| 9999999 | No answer | 75 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 786 | 50882 | 16000 | 3000000 |
Valid range from 16000 to 3000000
JP_RINC Country specific personal income: Japan
| Value 341102 | Frequency | |
|---|---|---|
| 0 | No income | 179 |
| 500000 | Less than 1.000.000 JPY per year | 324 |
| 1500000 | 1.000.000-1.999.999 JPY | 303 |
| 2500000 | 2.000.000-2.999.999 JPY | 238 |
| 3500000 | 3.000.000-3.999.999 JPY | 152 |
| 4500000 | 4.000.000-4.999.999 JPY | 96 |
| 5500000 | 5.000.000-5.999.999 JPY | 64 |
| 6500000 | 6.000.000-6.999.999 JPY | 46 |
| 7500000 | 7.000.000-7.999.999 JPY | 25 |
| 8500000 | 8.000.000-8.999.999 JPY | 20 |
| 9500000 | 9.000.000-9.999.999 JPY | 18 |
| 11000000 | 10.000.000-11.999.999 JPY | 16 |
| 13500000 | 12.000.000-14.999.999 JPY | 7 |
| 20000000 | 15.000.000 JPY and more per year | 14 |
| 99999990 | NAP, all other countries | 50095 |
| 99999999 | No answer | 71 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1502 | 50166 | 0 | 20000000 |
Valid range from 0 to 20000000
LT_RINC Country specific personal income: Lithuania
| Value 342101 | Frequency | |
|---|---|---|
| 0 | No income | 23 |
| 30 | 30 EUR per month | 1 |
| 40 | 40 EUR | 1 |
| 50 | 50 EUR | 4 |
| 60 | 60 EUR | 3 |
| 69 | 69 EUR | 1 |
| 70 | 70 EUR | 3 |
| 71 | 71 EUR | 1 |
| 80 | 80 EUR | 4 |
| 81 | 81 EUR | 1 |
| 85 | 85 EUR | 2 |
| 90 | 90 EUR | 2 |
| 92 | 92 EUR | 1 |
| 94 | 94 EUR | 1 |
| 100 | 100 EUR | 24 |
| 102 | 102 EUR | 1 |
| 104 | 104 EUR | 1 |
| 110 | 110 EUR | 1 |
| 120 | 120 EUR | 6 |
| 130 | 130 EUR | 1 |
| 135 | 135 EUR | 1 |
| 136 | 136 EUR | 1 |
| 140 | 140 EUR | 5 |
| 150 | 150 EUR | 17 |
| 159 | 159 EUR | 1 |
| 160 | 160 EUR | 5 |
| 162 | 162 EUR | 2 |
| 170 | 170 EUR | 8 |
| 175 | 175 EUR | 2 |
| 180 | 180 EUR | 13 |
| 181 | 181 EUR | 1 |
| 182 | 182 EUR | 1 |
| 189 | 189 EUR | 1 |
| 190 | 190 EUR | 2 |
| 192 | 192 EUR | 1 |
| 198 | 198 EUR | 1 |
| 200 | 200 EUR | 41 |
| 202 | 202 EUR | 2 |
| 203 | 203 EUR | 2 |
| 204 | 204 EUR | 1 |
| 207 | 207 EUR | 1 |
| 208 | 208 EUR | 4 |
| 210 | 210 EUR | 4 |
| 212 | 212 EUR | 1 |
| 215 | 215 EUR | 2 |
| 220 | 220 EUR | 9 |
| 225 | 225 EUR | 1 |
| 227 | 227 EUR | 1 |
| 230 | 230 EUR | 17 |
| 231 | 231 EUR | 1 |
| 232 | 232 EUR | 2 |
| 233 | 233 EUR | 1 |
| 238 | 238 EUR | 1 |
| 240 | 240 EUR | 6 |
| 243 | 243 EUR | 1 |
| 246 | 246 EUR | 1 |
| 250 | 250 EUR | 30 |
| 252 | 252 EUR | 1 |
| 255 | 255 EUR | 1 |
| 257 | 257 EUR | 2 |
| 260 | 260 EUR | 13 |
| 263 | 263 EUR | 1 |
| 265 | 265 EUR | 1 |
| 266 | 266 EUR | 1 |
| 267 | 267 EUR | 1 |
| 268 | 268 EUR | 1 |
| 270 | 270 EUR | 10 |
| 273 | 273 EUR | 1 |
| 274 | 274 EUR | 1 |
| 275 | 275 EUR | 2 |
| 279 | 279 EUR | 2 |
| 280 | 280 EUR | 13 |
| 282 | 282 EUR | 2 |
| 284 | 284 EUR | 1 |
| 285 | 285 EUR | 1 |
| 290 | 290 EUR | 3 |
| 296 | 296 EUR | 1 |
| 300 | 300 EUR | 92 |
| 305 | 305 EUR | 2 |
| 310 | 310 EUR | 2 |
| 320 | 320 EUR | 8 |
| 325 | 325 EUR | 4 |
| 330 | 330 EUR | 12 |
| 340 | 340 EUR | 1 |
| 350 | 350 EUR | 38 |
| 358 | 358 EUR | 1 |
| 360 | 360 EUR | 6 |
| 375 | 375 EUR | 1 |
| 380 | 380 EUR | 6 |
| 400 | 400 EUR | 58 |
| 405 | 405 EUR | 1 |
| 410 | 410 EUR | 1 |
| 415 | 415 EUR | 1 |
| 420 | 420 EUR | 1 |
| 429 | 429 EUR | 1 |
| 430 | 430 EUR | 2 |
| 434 | 434 EUR | 1 |
| 435 | 435 EUR | 4 |
| 436 | 436 EUR | 1 |
| 440 | 440 EUR | 2 |
| 450 | 450 EUR | 16 |
| 460 | 460 EUR | 2 |
| 470 | 470 EUR | 1 |
| 480 | 480 EUR | 2 |
| 490 | 490 EUR | 2 |
| 498 | 498 EUR | 1 |
| 500 | 500 EUR | 48 |
| 520 | 520 EUR | 1 |
| 526 | 526 EUR | 1 |
| 530 | 530 EUR | 1 |
| 540 | 540 EUR | 2 |
| 550 | 550 EUR | 9 |
| 560 | 560 EUR | 1 |
| 600 | 600 EUR | 35 |
| 620 | 620 EUR | 1 |
| 630 | 630 EUR | 1 |
| 650 | 650 EUR | 5 |
| 660 | 660 EUR | 1 |
| 690 | 690 EUR | 1 |
| 700 | 700 EUR | 16 |
| 750 | 750 EUR | 2 |
| 800 | 800 EUR | 19 |
| 806 | 806 EUR | 1 |
| 850 | 850 EUR | 1 |
| 870 | 870 EUR | 1 |
| 900 | 900 EUR | 5 |
| 998 | 998 EUR | 1 |
| 1000 | 1.000 EUR | 16 |
| 1100 | 1.100 EUR | 2 |
| 1200 | 1.200 EUR | 1 |
| 1300 | 1.300 EUR | 3 |
| 1500 | 1.500 EUR | 3 |
| 1600 | 1.600 EUR | 1 |
| 2000 | 2.000 EUR | 1 |
| 3000 | 3.000 EUR | 1 |
| 3500 | 3.500 EUR | 1 |
| 4000 | 4.000 EUR per month | 1 |
| 999990 | NAP, all other countries | 50541 |
| 999997 | Refused | 323 |
| 999998 | Don't know | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 785 | 50883 | 0 | 4000 |
Valid range from 0 to 4000
LV_RINC Country specific personal income: Latvia
| Value 343100 | Frequency | |
|---|---|---|
| 0 | No income | 52 |
| 11 | 11 EUR per month | 1 |
| 12 | 12 EUR | 1 |
| 20 | 20 EUR | 1 |
| 33 | 33 EUR | 2 |
| 45 | 45 EUR | 1 |
| 49 | 49 EUR | 3 |
| 50 | 50 EUR | 2 |
| 56 | 56 EUR | 1 |
| 64 | 64 EUR | 1 |
| 65 | 65 EUR | 3 |
| 70 | 70 EUR | 6 |
| 72 | 72 EUR | 1 |
| 73 | 73 EUR | 1 |
| 75 | 75 EUR | 2 |
| 76 | 76 EUR | 1 |
| 78 | 78 EUR | 1 |
| 80 | 80 EUR | 2 |
| 87 | 87 EUR | 1 |
| 89 | 89 EUR | 1 |
| 90 | 90 EUR | 3 |
| 92 | 92 EUR | 1 |
| 95 | 95 EUR | 1 |
| 97 | 97 EUR | 1 |
| 98 | 98 EUR | 2 |
| 100 | 100 EUR | 8 |
| 109 | 109 EUR | 1 |
| 110 | 110 EUR | 2 |
| 113 | 113 EUR | 1 |
| 118 | 118 EUR | 1 |
| 120 | 120 EUR | 5 |
| 128 | 128 EUR | 3 |
| 130 | 130 EUR | 2 |
| 133 | 133 EUR | 1 |
| 135 | 135 EUR | 1 |
| 139 | 139 EUR | 1 |
| 140 | 140 EUR | 1 |
| 142 | 142 EUR | 1 |
| 150 | 150 EUR | 6 |
| 156 | 156 EUR | 1 |
| 160 | 160 EUR | 3 |
| 164 | 164 EUR | 1 |
| 165 | 165 EUR | 1 |
| 169 | 169 EUR | 1 |
| 170 | 170 EUR | 3 |
| 175 | 175 EUR | 1 |
| 176 | 176 EUR | 1 |
| 178 | 178 EUR | 1 |
| 180 | 180 EUR | 5 |
| 182 | 182 EUR | 1 |
| 185 | 185 EUR | 1 |
| 186 | 186 EUR | 1 |
| 189 | 189 EUR | 1 |
| 190 | 190 EUR | 1 |
| 200 | 200 EUR | 28 |
| 205 | 205 EUR | 1 |
| 208 | 208 EUR | 1 |
| 210 | 210 EUR | 1 |
| 213 | 213 EUR | 3 |
| 214 | 214 EUR | 3 |
| 215 | 215 EUR | 1 |
| 216 | 216 EUR | 1 |
| 218 | 218 EUR | 1 |
| 220 | 220 EUR | 7 |
| 225 | 225 EUR | 2 |
| 230 | 230 EUR | 4 |
| 232 | 232 EUR | 1 |
| 233 | 233 EUR | 1 |
| 236 | 236 EUR | 1 |
| 238 | 238 EUR | 1 |
| 239 | 239 EUR | 1 |
| 240 | 240 EUR | 7 |
| 242 | 242 EUR | 1 |
| 244 | 244 EUR | 4 |
| 245 | 245 EUR | 3 |
| 249 | 249 EUR | 2 |
| 250 | 250 EUR | 12 |
| 251 | 251 EUR | 2 |
| 252 | 252 EUR | 1 |
| 255 | 255 EUR | 1 |
| 257 | 257 EUR | 1 |
| 259 | 259 EUR | 1 |
| 260 | 260 EUR | 6 |
| 262 | 262 EUR | 1 |
| 264 | 264 EUR | 1 |
| 265 | 265 EUR | 1 |
| 266 | 266 EUR | 2 |
| 270 | 270 EUR | 8 |
| 275 | 275 EUR | 1 |
| 276 | 276 EUR | 1 |
| 277 | 277 EUR | 1 |
| 278 | 278 EUR | 1 |
| 280 | 280 EUR | 9 |
| 285 | 285 EUR | 1 |
| 288 | 288 EUR | 1 |
| 290 | 290 EUR | 4 |
| 300 | 300 EUR | 37 |
| 305 | 305 EUR | 1 |
| 308 | 308 EUR | 1 |
| 310 | 310 EUR | 2 |
| 313 | 313 EUR | 2 |
| 315 | 315 EUR | 1 |
| 317 | 317 EUR | 1 |
| 320 | 320 EUR | 8 |
| 328 | 328 EUR | 2 |
| 330 | 330 EUR | 2 |
| 335 | 335 EUR | 2 |
| 340 | 340 EUR | 3 |
| 350 | 350 EUR | 16 |
| 360 | 360 EUR | 13 |
| 370 | 370 EUR | 15 |
| 380 | 380 EUR | 7 |
| 390 | 390 EUR | 6 |
| 396 | 396 EUR | 2 |
| 400 | 400 EUR | 45 |
| 405 | 405 EUR | 1 |
| 406 | 406 EUR | 1 |
| 410 | 410 EUR | 2 |
| 413 | 413 EUR | 1 |
| 420 | 420 EUR | 8 |
| 430 | 430 EUR | 6 |
| 432 | 432 EUR | 1 |
| 438 | 438 EUR | 1 |
| 440 | 440 EUR | 1 |
| 450 | 450 EUR | 19 |
| 457 | 457 EUR | 1 |
| 460 | 460 EUR | 3 |
| 465 | 465 EUR | 1 |
| 470 | 470 EUR | 1 |
| 480 | 480 EUR | 1 |
| 490 | 490 EUR | 2 |
| 500 | 500 EUR | 43 |
| 508 | 508 EUR | 1 |
| 510 | 510 EUR | 1 |
| 520 | 520 EUR | 1 |
| 522 | 522 EUR | 1 |
| 525 | 525 EUR | 1 |
| 530 | 530 EUR | 2 |
| 540 | 540 EUR | 2 |
| 550 | 550 EUR | 6 |
| 560 | 560 EUR | 2 |
| 566 | 566 EUR | 1 |
| 570 | 570 EUR | 1 |
| 580 | 580 EUR | 1 |
| 590 | 590 EUR | 2 |
| 594 | 594 EUR | 1 |
| 600 | 600 EUR | 28 |
| 620 | 620 EUR | 2 |
| 630 | 630 EUR | 1 |
| 640 | 640 EUR | 2 |
| 650 | 650 EUR | 7 |
| 665 | 665 EUR | 3 |
| 670 | 670 EUR | 1 |
| 680 | 680 EUR | 2 |
| 690 | 690 EUR | 1 |
| 700 | 700 EUR | 36 |
| 708 | 708 EUR | 1 |
| 720 | 720 EUR | 3 |
| 740 | 740 EUR | 1 |
| 745 | 745 EUR | 1 |
| 750 | 750 EUR | 6 |
| 756 | 756 EUR | 1 |
| 780 | 780 EUR | 1 |
| 790 | 790 EUR | 1 |
| 800 | 800 EUR | 31 |
| 820 | 820 EUR | 1 |
| 850 | 850 EUR | 2 |
| 856 | 856 EUR | 1 |
| 880 | 880 EUR | 1 |
| 894 | 894 EUR | 1 |
| 900 | 900 EUR | 15 |
| 950 | 950 EUR | 1 |
| 980 | 980 EUR | 1 |
| 982 | 982 EUR | 1 |
| 990 | 990 EUR | 1 |
| 996 | 996 EUR | 1 |
| 997 | 997 EUR | 1 |
| 1000 | 1.000 EUR | 44 |
| 1045 | 1.045 EUR | 1 |
| 1050 | 1.050 EUR | 3 |
| 1100 | 1.100 EUR | 5 |
| 1150 | 1.150 EUR | 2 |
| 1200 | 1.200 EUR | 12 |
| 1300 | 1.300 EUR | 5 |
| 1400 | 1.400 EUR | 7 |
| 1500 | 1.500 EUR | 10 |
| 1600 | 1.600 EUR | 5 |
| 1700 | 1.700 EUR | 3 |
| 1800 | 1.800 EUR | 2 |
| 2000 | 2.000 EUR | 7 |
| 2200 | 2.200 EUR | 1 |
| 2400 | 2.400 EUR | 1 |
| 2500 | 2.500 EUR | 3 |
| 3000 | 3.000 EUR | 1 |
| 3200 | 3.200 EUR | 1 |
| 3500 | 3.500 EUR | 1 |
| 5000 | 5.000 EUR per month | 1 |
| 999990 | NAP, all other countries | 50666 |
| 999997 | Refused | 96 |
| 999998 | Don't know | 73 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 833 | 50835 | 0 | 5000 |
Valid range from 0 to 5000
MX_RINC Country specific personal income: Mexico
| Value 34499 | Frequency | |
|---|---|---|
| 200 | 200 MXN per month, net | 1 |
| 300 | 300 MXN | 2 |
| 400 | 400 MXN | 2 |
| 500 | 500 MXN | 4 |
| 600 | 600 MXN | 4 |
| 700 | 700 MXN | 1 |
| 800 | 800 MXN | 6 |
| 900 | 900 MXN | 1 |
| 1000 | 1.000 MXN | 19 |
| 1200 | 1.200 MXN | 14 |
| 1300 | 1.300 MXN | 3 |
| 1350 | 1.350 MXN | 1 |
| 1400 | 1.400 MXN | 3 |
| 1500 | 1.500 MXN | 24 |
| 1600 | 1.600 MXN | 6 |
| 1800 | 1.800 MXN | 2 |
| 2000 | 2.000 MXN | 35 |
| 2100 | 2.100 MXN | 1 |
| 2200 | 2.200 MXN | 2 |
| 2300 | 2.300 MXN | 2 |
| 2400 | 2.400 MXN | 12 |
| 2488 | 2.488 MXN | 1 |
| 2500 | 2.500 MXN | 19 |
| 2600 | 2.600 MXN | 3 |
| 2700 | 2.700 MXN | 2 |
| 2800 | 2.800 MXN | 7 |
| 2900 | 2.900 MXN | 3 |
| 3000 | 3.000 MXN | 38 |
| 3200 | 3.200 MXN | 7 |
| 3250 | 3.250 MXN | 1 |
| 3400 | 3.400 MXN | 1 |
| 3500 | 3.500 MXN | 11 |
| 3600 | 3.600 MXN | 10 |
| 3660 | 3.660 MXN | 1 |
| 3700 | 3.700 MXN | 1 |
| 3800 | 3.800 MXN | 5 |
| 3900 | 3.900 MXN | 1 |
| 4000 | 4.000 MXN | 51 |
| 4100 | 4.100 MXN | 4 |
| 4200 | 4.200 MXN | 6 |
| 4300 | 4.300 MXN | 2 |
| 4500 | 4.500 MXN | 7 |
| 4600 | 4.600 MXN | 1 |
| 4700 | 4.700 MXN | 1 |
| 4800 | 4.800 MXN | 13 |
| 5000 | 5.000 MXN | 41 |
| 5100 | 5.100 MXN | 2 |
| 5200 | 5.200 MXN | 4 |
| 5300 | 5.300 MXN | 3 |
| 5400 | 5.400 MXN | 2 |
| 5500 | 5.500 MXN | 5 |
| 5600 | 5.600 MXN | 2 |
| 5800 | 5.800 MXN | 1 |
| 5900 | 5.900 MXN | 1 |
| 6000 | 6.000 MXN | 45 |
| 6100 | 6.100 MXN | 2 |
| 6200 | 6.200 MXN | 3 |
| 6300 | 6.300 MXN | 1 |
| 6500 | 6.500 MXN | 6 |
| 6600 | 6.600 MXN | 1 |
| 6700 | 6.700 MXN | 1 |
| 7000 | 7.000 MXN | 13 |
| 7100 | 7.100 MXN | 2 |
| 7500 | 7.500 MXN | 2 |
| 7600 | 7.600 MXN | 1 |
| 8000 | 8.000 MXN | 31 |
| 8100 | 8.100 MXN | 1 |
| 8300 | 8.300 MXN | 1 |
| 8400 | 8.400 MXN | 1 |
| 8500 | 8.500 MXN | 1 |
| 8640 | 8.640 MXN | 1 |
| 9000 | 9.000 MXN | 6 |
| 9500 | 9.500 MXN |