Mednarodna splošna družboslovna anketa (ISSP), 2016: Vloga države V
Basic Study Information
ADP - IDNo: ISSP16
Main author(s):
Data file producer:
GESIS - GESIS Datenarchiv, GESIS Leibniz-Institute for the Social Sciences (Cologne; 2018)
Funding agency:
Vsaka raziskovalna organizacija krije svoje stroške raziskave. Skupnega financiranja ni.
Project number:
no information
Series:
- ISSP/Mednarodna splošna družboslovna anketa = International Social Survey Programme
Mednarodna družboslovna anketa (ISSP) je kontinuiran program mednarodnega sodelovanja v letnih anketah, ki pokrivajo pomembne teme za družboslovno znanstveno raziskovanje. Združuje že obstoječe družbeno-znanstvene projekte in usklajuje raziskovalne cilje ter tako dodaja posameznim nacionalnim raziskavam mednarodni in medkulturni vidik. Vsaka posamezna raziskava (tematski modul) se ukvarja z določeno družboslovno tematiko. Tako raziskave ISSP do sedaj vsebujejo vprašanja o odnosu posameznika do številnih družbenih tem, kot so: okolje, vloga vlade, družbene neenakosti, socialno podporo, družina in spolne vloge, delo in delovne usmeritve, religija, državljanstvo, nacionalna identiteta, zdravje in zdravstveni sistem. Prva raziskava je bila izvedena v letih 1985/86 v šestih državah, danes pa ima ISSP preko 40 držav članic po vsem svetu. (http://www.issp.org/)
Study Content
Keywords ADP: vloga države, državljanske svoboščine, vladni ukrepi, varnost, nadzorovanje kriminala, zaupanje javnim uslužbencem, davki v državi, korupcija, izkušnje s korupcijo, uspešnost vlade
Keywords ELSST:
VLADA, KRIMINAL, KORUPCIJA, DRŽAVLJANSKE IN POLITIČNE PRAVICE, VLOGA VLADE
Topic Classification CESSDA
POLITIKA - Politično vedenje in stališča
Topic Classification CERIF
Politične in upravne vede
Topic Classification ADP
VLOGA DRŽAVE
GOSPODARSTVO
POLITIKA
KORUPCIJA
ZDRAVSTVENO VARSTVO
Abstract:
Ta izvedba raziskav ISSP se osredotoča na vlogo države. Respondente sprašuje o državljanskih svoboščinah, različnih gospodarskih ukrepih s strani vlade, preferencah glede višje ali nižje državne porabe na različnih področjih ter odgovornosti vlade (zagotavljanje zdravstva in izobraževanja). V nadaljevanju sprašuje o akterjih, ki najbolj vplivajo na delovanje vlade, o vplivu svetovnega gospodarstva na državne politike ter o varnosti in vladnem nadzoru. Respondenti se opredelijo tudi o njihovem interesu za politiko, razumevanju pomembnih političnih vprašanj, zaupanju javnim uslužbencem, o davkih in primerni višini davkov, korupciji, ocenjenem pojavljanju korupcije med politiki in uradniki ter lastnih izkušnjah s korupcijo v zadnjih petih letih. Za konec vrednotijo uspešnost vlade pri zagotavljanju zdravstvenega varstva, dostojnega življenjskega standarda za ostarele in pri reševanju varnostnih groženj. Demografski sklop vključuje vprašanja o starosti respondenta, spolu, izobrazbi, zaposlitvi, poklicu, zakonskem statusu, članstvu v sindikatu, verskem prepričanju, udeležbi na zadnjih volitvah, o voljeni stranki (levo-desno), pripadnosti etnični skupini, velikosti gospodinjstva, dohodku, o državi izvora staršev ter regiji bivanja.
Methodology
| Collection date: | Zbiranje podatkov na terenu je potekalo: Avstralija: 31. maj 2016 - 18. maj 2017, Belgija: 28. november 2017 - 28. marec 2018, Češka: 24. maj 2016 - 18. julij 2016, Čile: 09. julij 2016 - 07. avgust 2016, Danska: 15. maj 2016 - 19. julij 2016, Filipini: 16. marec 2016 - 20. marec 2016, Finska: 16. september 2016 - 20. december 2016, Francija: 09. februar 2016 - 30. september 2016, Gruzija: 05. junij 2016 - 23. julij 2016, Hrvaška: 20. julij 2017 - 25. avgust 2017, Indija: 11. februar 2018 - 25. marec 2018, Islandija: 01. februar 2017 - 10. maj 2017, Izrael: 24. december 2015 - 05. april 2016, Japonska: 29. oktober 2016 - 06. november 2016, Južna Afrika: 25. januar 2017 - 30. april 2017, Južna Koreja: 27. junij 2016 - 07. oktober 2016, Latvija: 27. avgust 2016 - 25. september 2016, Litva: 27. junij 2016 - 02. avgust 2016, Madžarska: 14. april 2016 - 20. april 2016, Nemčija: 05. april 2016 - 18. september 2016, Norveška: 26. oktober 2016 - 13. februar 2017, Nova Zelandija: 11. julij 2016 - 13. februar 2017, Ruska federacija: 16. februar 2016 - 23. februar 2016, Slovaška: 13. oktober 2016 - 28. november 2016, Slovenija: 14. november 2015 - 23. februar 2016, Surinam: 11. januar 2018 - 21. junij 2018, Španija: 11. april 2016 - 29. junij 2016, Švedska: 10. oktober 2016 - 12. december 2016, Švica: 15. februar 2017 - 07. avgust 2017, Tajska: 01. junij 2017 - 09. avgust 2017, Tajvan: 07. avgust 2016 - 27. november 2016, Turčija: 26. avgust 2017 - 15. november 2017, Velika Britanija: 13. julij 2016 - 30. oktober 2016, Venezuela: 02. september 2016 - 04. oktober 2016, Združene države Amerike: 05. april 2016 - 19. november 2016 |
|---|---|
| Date of production: | 2018 |
| Country: | Avstralija, Belgija, Češka, Čile, Danska, Filipini, Finska, Francija, Gruzija, Hrvaška, Indija, Islandija, Izrael, Japonska, Južna Afrika, Južna Koreja, Latvija, Litva, Madžarska, Nemčija, Norveška, Nova Zelandija, Ruska federacija, Slovaška, Slovenija, Surinam, Španija, Švedska, Švica, Tajska, Tajvan, Turčija, Velika Britanija, Venezuela, Združene države Amerike |
| Geographic coverage: |
Teritorij naštetih držav. |
| Unit of analysis: |
Posameznik |
| Universe: |
Osebe stare 18 let in več, izjeme so: Finska: od 15 do 74 let, Japonska: 16 let ali več, Latvija: od 18 do 74 let, Norveška: od 18 do 79 let, Švedska: od 18 do 79 let, Južna Afrika: 16 let ali več, ter Surinam: od 21 do 74 let. Za dodatna pojasnila glej doi:10.4232/1.13052. |
| Excluded: | no information |
| Data collected by: |
Avstralija: Australian Consortium for Social and Political Research Incorporated (ACSPRI), Black Rock, Victoria Belgija: Vlaamse Overheid, Statistics Flanders, Brussels Češka: FOCUS Marketing & Social Research, Brno Čile: CADEM, Santiago de Chile Danska: Rambøll Denmark A/S, Copenhagen Filipini: Social Weather Stations, Quezon City Finska: Statistics Finland, Social Survey Unit, Helsinki Francija: 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, University of Iceland, Reykjavík 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 Južna Koreja: Survey Research Center at Sungkyunkwan University, Seoul Latvija: TNS Latvia, Riga Litva: Eurotela, Klaipėda Madžarska: TÁRKI Social Research Institute, Budapest Nemčija: TNS Infratest Norveška: TNS Gallup (kontakt in administracija papirnatih vprašalnikov) in Norwegian Social Science Data Services (NSD) (administracija spletnih vprašalnikov), Bergen Nova Zelandija: Centre of Methods and Policy Application in the Social Sciences (COMPASS), The University of Auckland 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, Tammenga Španija: Centro de Investigaciones Sociológicas (CIS), Madrid Švedska: SIFO, Stockholm Švica: M.I.S. Trend SA, Lausanne Tajska: King Prajadhipok’s Institute, Bangkok Tajvan: Center for Survey Research, RCHSS, Academia Sinica, Taipei City Turčija: Infakto Research Workshop Inc., Istanbul Velika Britanija: National Centre for Social Research (NatCen), London Venezuela: Instituto Delphos, Caracas Združene države Amerike: National Opinion Research Center (NORC) 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:10.4232/1.13052. |
| 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:10.4232/1.13052. |
| Weighting: |
Da. Za dodatna pojasnila glej doi:10.4232/1.13052. |
Access restrictions
Za dostop do podatkov se obrnite na avtorja raziskave ali pristojno organizacijo, saj Arhiv družboslovnih podatkov ne distribuira podatkov te raziskave. Več o omejitvah dostopa na doi:10.4232/1.13052.
Contact: GESIS Datenarchiv
Več o pravilnem navajanju podatkov na doi:10.4232/1.13052.
Več o uporabnikovi odgovornosti obveščanja arhiva o uporabi podatkov in objavi del na doi:10.4232/1.13052.
Uporabnik naj pred uporabo pozorno prebere spremljajočo dokumentacijo in se v primeru nejasnosti obrne na avtorje raziskave ali Arhiv.
Basic Data File Description
Title of Data file: ZA6900: International Social Survey Programme: Role of Government V - ISSP 2016 [Podatkovna datoteka]
File ID: F1
Format: OSTALO
- number of variables: 395
- number of units: 48720
Version: 2.0.0, doi:10.4232/1.13052
Variable list
studyno GESIS Data Archive Study Number
| Value 13 | Frequency | |
|---|---|---|
| 6900 | GESIS Data Archive Study Number ZA6900 | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48720 | 0 | 6900 | 6900 |
Valid range from 6900 to 6900
version GESIS Archive version
| Value 22 | Frequency | |
|---|---|---|
| 2.0.0 (2018-09-19) | 48720 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48720 | 0 |
doi Digital Object Identifier
| Value 31 | Frequency | |
|---|---|---|
| doi:10.4232/1.13052 | 48720 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48720 | 0 |
studyno GESIS Data Archive Study Number
| Value 1395 | Frequency | |
|---|---|---|
| 6900 | GESIS Data Archive Study Number ZA6900 | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48720 | 0 | 6900 | 6900 |
Valid range from 6900 to 6900
version GESIS Archive version
| Value 2394 | Frequency | |
|---|---|---|
| 2.0.0 (2018-09-19) | 48720 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48720 | 0 |
doi Digital Object Identifier
| Value 3393 | Frequency | |
|---|---|---|
| doi:10.4232/1.13052 | 48720 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48720 | 0 |
country Country ISO 3166 Code (see c_sample for codes for the sample)
| Value 4392 | Frequency | |
|---|---|---|
| 36 | AU-Australia | 1267 |
| 56 | BE-Belgium | 1952 |
| 152 | CL-Chile | 1416 |
| 158 | TW-Taiwan | 1966 |
| 191 | HR-Croatia | 1026 |
| 203 | CZ-Czech Republic | 1400 |
| 208 | DK-Denmark | 1138 |
| 246 | FI-Finland | 1186 |
| 250 | FR-France | 1501 |
| 268 | GE-Georgia | 1487 |
| 276 | DE-Germany | 1689 |
| 348 | HU-Hungary | 1000 |
| 352 | IS-Iceland | 1322 |
| 356 | IN-India | 1508 |
| 376 | IL-Israel | 1248 |
| 392 | JP-Japan | 1611 |
| 410 | KR-Korea (South) | 1051 |
| 428 | LV-Latvia | 1002 |
| 440 | LT-Lithuania | 1006 |
| 554 | NZ-New Zealand | 1350 |
| 578 | NO-Norway | 1260 |
| 608 | PH-Philippines | 1200 |
| 643 | RU-Russia | 1576 |
| 703 | SK-Slovakia | 1150 |
| 705 | SI-Slovenia | 1024 |
| 710 | ZA-South Africa | 3063 |
| 724 | ES-Spain | 1834 |
| 740 | SR-Suriname | 1273 |
| 752 | SE-Sweden | 1140 |
| 756 | CH-Switzerland | 1066 |
| 764 | TH-Thailand | 1475 |
| 792 | TR-Turkey | 1535 |
| 826 | GB-Great Britain and/or United Kingdom | 1563 |
| 840 | US-United States | 1390 |
| 862 | VE-Venezuela | 1045 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48720 | 0 | 36 | 862 |
Valid range from 36 to 862
c_sample Country/ Sample ISO 3166 Code (see country for codes for whole nation states)
| Value 5391 | Frequency | |
|---|---|---|
| 36 | AU-Australia | 1267 |
| 152 | CL-Chile | 1416 |
| 158 | TW-Taiwan | 1966 |
| 191 | HR-Croatia | 1026 |
| 203 | CZ-Czech Republic | 1400 |
| 208 | DK-Denmark | 1138 |
| 246 | FI-Finland | 1186 |
| 250 | FR-France | 1501 |
| 268 | GE-Georgia | 1487 |
| 348 | HU-Hungary | 1000 |
| 352 | IS-Iceland | 1322 |
| 356 | IN-India | 1508 |
| 392 | JP-Japan | 1611 |
| 410 | KR-Korea (South) | 1051 |
| 428 | LV-Latvia | 1002 |
| 440 | LT-Lithuania | 1006 |
| 554 | NZ-New Zealand | 1350 |
| 578 | NO-Norway | 1260 |
| 608 | PH-Philippines | 1200 |
| 643 | RU-Russia | 1576 |
| 703 | SK-Slovakia | 1150 |
| 705 | SI-Slovenia | 1024 |
| 710 | ZA-South Africa | 3063 |
| 724 | ES-Spain | 1834 |
| 740 | SR-Suriname | 1273 |
| 752 | SE-Sweden | 1140 |
| 756 | CH-Switzerland | 1066 |
| 764 | TH-Thailand | 1475 |
| 792 | TR-Turkey | 1535 |
| 840 | US-United States | 1390 |
| 862 | VE-Venezuela | 1045 |
| 5601 | BE-FLA-Belgium/ Flanders | 792 |
| 5602 | BE-WAL-Belgium/ Wallonia | 641 |
| 5603 | BE-BRU-Belgium/ Brussels | 519 |
| 27601 | DE-W-Germany-West | 1111 |
| 27602 | DE-E-Germany-East | 578 |
| 37601 | IL-Jews | 1025 |
| 37602 | IL-Arabs | 223 |
| 82601 | GB-GBN-Great Britain | 1563 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48720 | 0 | 36 | 82601 |
Valid range from 36 to 82601
c_alphan Country Prefix ISO 3166 Code - alphanumeric
| Value 6390 | Frequency | |
|---|---|---|
| AU | 1267 | |
| BE | 1952 | |
| CH | 1066 | |
| CL | 1416 | |
| CZ | 1400 | |
| DE | 1689 | |
| DK | 1138 | |
| ES | 1834 | |
| FI | 1186 | |
| FR | 1501 | |
| GB-GBN | 1563 | |
| GE | 1487 | |
| HR | 1026 | |
| HU | 1000 | |
| IL | 1248 | |
| IN | 1508 | |
| IS | 1322 | |
| JP | 1611 | |
| KR | 1051 | |
| LT | 1006 | |
| LV | 1002 | |
| NO | 1260 | |
| NZ | 1350 | |
| PH | 1200 | |
| RU | 1576 | |
| SE | 1140 | |
| SI | 1024 | |
| SK | 1150 | |
| SR | 1273 | |
| TH | 1475 | |
| TR | 1535 | |
| TW | 1966 | |
| US | 1390 | |
| VE | 1045 | |
| ZA | 3063 | |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48720 | 0 |
v1 Q1 Obey laws without exception
| Value 7389 | Frequency | |
|---|---|---|
| 1 | Obey the law without exception | 23987 |
| 2 | Follow conscience on occasions | 21468 |
| 8 | Can't choose | 2716 |
| 9 | No answer | 549 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45455 | 3265 |
Valid range from 1 to 2
v2 Q2a Public protest meetings
| Value 8388 | Frequency | |
|---|---|---|
| 1 | Definitely allowed | 21419 |
| 2 | Probably allowed | 16274 |
| 3 | Probably not allowed | 4879 |
| 4 | Definitely not allowed | 3072 |
| 8 | Can't choose | 2493 |
| 9 | No answer | 583 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45644 | 3076 |
Valid range from 1 to 4
v3 Q2b Protest demonstrations
| Value 9387 | Frequency | |
|---|---|---|
| 1 | Definitely allowed | 18460 |
| 2 | Probably allowed | 16142 |
| 3 | Probably not allowed | 6588 |
| 4 | Definitely not allowed | 4095 |
| 8 | Can't choose | 2572 |
| 9 | No answer | 863 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45285 | 3435 |
Valid range from 1 to 4
v4 Q3a Revolutionaries: hold public meetings
| Value 10386 | Frequency | |
|---|---|---|
| 1 | Definitely allowed | 12375 |
| 2 | Probably allowed | 15111 |
| 3 | Probably not allowed | 9112 |
| 4 | Definitely not allowed | 8661 |
| 8 | Can't choose | 2876 |
| 9 | No answer | 585 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45259 | 3461 |
Valid range from 1 to 4
v5 Q3b Revolutionaries: publish books
| Value 11385 | Frequency | |
|---|---|---|
| 1 | Definitely allowed | 13338 |
| 2 | Probably allowed | 16978 |
| 3 | Probably not allowed | 7994 |
| 4 | Definitely not allowed | 6130 |
| 8 | Can't choose | 3310 |
| 9 | No answer | 970 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44440 | 4280 |
Valid range from 1 to 4
v6 Q4 Worse type of justice error
| Value 12384 | Frequency | |
|---|---|---|
| 1 | Convict an innocent person | 29572 |
| 2 | Let a guilty person go free | 12904 |
| 8 | Can't choose | 5075 |
| 9 | No answer | 1169 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42476 | 6244 |
Valid range from 1 to 2
v7 Q5a Government and economy: cuts in governments spending
| Value 13383 | Frequency | |
|---|---|---|
| 1 | Strongly in favour of | 14154 |
| 2 | In favour of | 16676 |
| 3 | Neither in favour of nor against | 7732 |
| 4 | Against | 5722 |
| 5 | Strongly against | 1824 |
| 8 | Can't choose | 2015 |
| 9 | No answer | 597 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46108 | 2612 |
Valid range from 1 to 5
v8 Q5b Government and economy: financing projects for new jobs
| Value 14382 | Frequency | |
|---|---|---|
| 1 | Strongly in favour of | 16713 |
| 2 | In favour of | 22216 |
| 3 | Neither in favour of nor against | 5219 |
| 4 | Against | 2093 |
| 5 | Strongly against | 544 |
| 8 | Can't choose | 1408 |
| 9 | No answer | 527 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46785 | 1935 |
Valid range from 1 to 5
v9 Q5c Government and economy: less government regulation of business
| Value 15381 | Frequency | |
|---|---|---|
| 1 | Strongly in favour of | 7674 |
| 2 | In favour of | 15186 |
| 3 | Neither in favour of nor against | 11549 |
| 4 | Against | 7824 |
| 5 | Strongly against | 2265 |
| 8 | Can't choose | 3471 |
| 9 | No answer | 751 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44498 | 4222 |
Valid range from 1 to 5
v10 Q5d Government and economy: support industry to develop new products
| Value 16380 | Frequency | |
|---|---|---|
| 1 | Strongly in favour of | 15800 |
| 2 | In favour of | 22420 |
| 3 | Neither in favour of nor against | 5944 |
| 4 | Against | 1838 |
| 5 | Strongly against | 461 |
| 8 | Can't choose | 1708 |
| 9 | No answer | 549 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46463 | 2257 |
Valid range from 1 to 5
v11 Q5e Government and economy: support declining industries to protect jobs
| Value 17379 | Frequency | |
|---|---|---|
| 1 | Strongly in favour of | 10837 |
| 2 | In favour of | 18542 |
| 3 | Neither in favour of nor against | 9025 |
| 4 | Against | 6085 |
| 5 | Strongly against | 1551 |
| 8 | Can't choose | 2102 |
| 9 | No answer | 578 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46040 | 2680 |
Valid range from 1 to 5
v12 Q5f Goverment and economy: reducing working week for more jobs
| Value 18378 | Frequency | |
|---|---|---|
| 1 | Strongly in favour of | 7161 |
| 2 | In favour of | 13574 |
| 3 | Neither in favour of nor against | 10551 |
| 4 | Against | 9976 |
| 5 | Strongly against | 4333 |
| 8 | Can't choose | 2531 |
| 9 | No answer | 594 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45595 | 3125 |
Valid range from 1 to 5
v13 Q6a Government should spend money: environment
| Value 19377 | Frequency | |
|---|---|---|
| 1 | Spend much more | 8247 |
| 2 | Spend more | 17250 |
| 3 | Spend the same as now | 16627 |
| 4 | Spend less | 3528 |
| 5 | Spend much less | 807 |
| 8 | Can't choose | 1677 |
| 9 | No answer | 584 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46459 | 2261 |
Valid range from 1 to 5
v14 Q6b Government should spend money: health
| Value 20376 | Frequency | |
|---|---|---|
| 1 | Spend much more | 17018 |
| 2 | Spend more | 20507 |
| 3 | Spend the same as now | 8327 |
| 4 | Spend less | 1316 |
| 5 | Spend much less | 317 |
| 8 | Can't choose | 866 |
| 9 | No answer | 369 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47485 | 1235 |
Valid range from 1 to 5
v15 Q6c Government should spend money: police and law enforcement
| Value 21375 | Frequency | |
|---|---|---|
| 1 | Spend much more | 8089 |
| 2 | Spend more | 17406 |
| 3 | Spend the same as now | 16770 |
| 4 | Spend less | 3536 |
| 5 | Spend much less | 930 |
| 8 | Can't choose | 1470 |
| 9 | No answer | 519 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46731 | 1989 |
Valid range from 1 to 5
v16 Q6d Government should spend money: education
| Value 22374 | Frequency | |
|---|---|---|
| 1 | Spend much more | 16327 |
| 2 | Spend more | 19155 |
| 3 | Spend the same as now | 10302 |
| 4 | Spend less | 1219 |
| 5 | Spend much less | 303 |
| 8 | Can't choose | 956 |
| 9 | No answer | 458 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47306 | 1414 |
Valid range from 1 to 5
v17 Q6e Government should spend money: military and defence
| Value 23373 | Frequency | |
|---|---|---|
| 1 | Spend much more | 6262 |
| 2 | Spend more | 11401 |
| 3 | Spend the same as now | 16880 |
| 4 | Spend less | 7392 |
| 5 | Spend much less | 3160 |
| 0 | NAV (IS) | 1322 |
| 8 | Can't choose | 1729 |
| 9 | No answer | 574 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45095 | 3625 |
Valid range from 1 to 5
v18 Q6f Government should spend money: old age pensions
| Value 24372 | Frequency | |
|---|---|---|
| 1 | Spend much more | 14606 |
| 2 | Spend more | 18936 |
| 3 | Spend the same as now | 11777 |
| 4 | Spend less | 1387 |
| 5 | Spend much less | 472 |
| 8 | Can't choose | 1078 |
| 9 | No answer | 464 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47178 | 1542 |
Valid range from 1 to 5
v19 Q6g Government should spend money: unemployment benefits
| Value 25371 | Frequency | |
|---|---|---|
| 1 | Spend much more | 7209 |
| 2 | Spend more | 12422 |
| 3 | Spend the same as now | 16760 |
| 4 | Spend less | 6546 |
| 5 | Spend much less | 2390 |
| 0 | NAV (PH) | 1200 |
| 8 | Can't choose | 1692 |
| 9 | No answer | 501 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45327 | 3393 |
Valid range from 1 to 5
v20 Q6h Government should spend money: culture and arts
| Value 26370 | Frequency | |
|---|---|---|
| 1 | Spend much more | 4965 |
| 2 | Spend more | 11038 |
| 3 | Spend the same as now | 19360 |
| 4 | Spend less | 7711 |
| 5 | Spend much less | 3203 |
| 8 | Can't choose | 1933 |
| 9 | No answer | 510 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46277 | 2443 |
Valid range from 1 to 5
v21 Q7a Government responsibility: provide job for everyone
| Value 27369 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 18152 |
| 2 | Probably should be | 15535 |
| 3 | Probably should not be | 8902 |
| 4 | Definitely should not be | 4258 |
| 8 | Can't choose | 1393 |
| 9 | No answer | 480 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46847 | 1873 |
Valid range from 1 to 4
v22 Q7b Government responsibility: control prices
| Value 28368 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 21653 |
| 2 | Probably should be | 17810 |
| 3 | Probably should not be | 5585 |
| 4 | Definitely should not be | 1858 |
| 8 | Can't choose | 1286 |
| 9 | No answer | 528 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46906 | 1814 |
Valid range from 1 to 4
v23 Q7c Government responsibility: provide health care for sick
| Value 29367 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 31950 |
| 2 | Probably should be | 13459 |
| 3 | Probably should not be | 1755 |
| 4 | Definitely should not be | 447 |
| 8 | Can't choose | 689 |
| 9 | No answer | 420 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47611 | 1109 |
Valid range from 1 to 4
v24 Q7d Government responsibility: provide living standard for the old
| Value 30366 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 29229 |
| 2 | Probably should be | 15749 |
| 3 | Probably should not be | 2167 |
| 4 | Definitely should not be | 444 |
| 8 | Can't choose | 724 |
| 9 | No answer | 407 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47589 | 1131 |
Valid range from 1 to 4
v25 Q7e Government responsibility: help industry grow
| Value 31365 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 17076 |
| 2 | Probably should be | 21032 |
| 3 | Probably should not be | 6717 |
| 4 | Definitely should not be | 1552 |
| 8 | Can't choose | 1780 |
| 9 | No answer | 563 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46377 | 2343 |
Valid range from 1 to 4
v26 Q7f Government responsibility: provide living standard for unemployed
| Value 32364 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 13613 |
| 2 | Probably should be | 19440 |
| 3 | Probably should not be | 8731 |
| 4 | Definitely should not be | 3019 |
| 0 | NAV (GE) | 1487 |
| 8 | Can't choose | 1863 |
| 9 | No answer | 567 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44803 | 3917 |
Valid range from 1 to 4
v27 Q7g Government responsibility: reduce income differences rich/ poor
| Value 33363 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 21111 |
| 2 | Probably should be | 15643 |
| 3 | Probably should not be | 6685 |
| 4 | Definitely should not be | 2990 |
| 8 | Can't choose | 1774 |
| 9 | No answer | 517 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46429 | 2291 |
Valid range from 1 to 4
v28 Q7h Government responsibility: financial help to students
| Value 34362 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 23091 |
| 2 | Probably should be | 19004 |
| 3 | Probably should not be | 3901 |
| 4 | Definitely should not be | 1020 |
| 8 | Can't choose | 1230 |
| 9 | No answer | 474 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47016 | 1704 |
Valid range from 1 to 4
v29 Q7i Government responsibility: provide decent housing
| Value 35361 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 17774 |
| 2 | Probably should be | 20545 |
| 3 | Probably should not be | 6365 |
| 4 | Definitely should not be | 1840 |
| 8 | Can't choose | 1672 |
| 9 | No answer | 524 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46524 | 2196 |
Valid range from 1 to 4
v30 Q7j Government responsibility: laws to protect environment
| Value 36360 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 25163 |
| 2 | Probably should be | 17602 |
| 3 | Probably should not be | 3260 |
| 4 | Definitely should not be | 706 |
| 8 | Can't choose | 1512 |
| 9 | No answer | 477 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46731 | 1989 |
Valid range from 1 to 4
v31 Q7k Government responsibility: promote equality between men/ women
| Value 37359 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 23735 |
| 2 | Probably should be | 15955 |
| 3 | Probably should not be | 4972 |
| 4 | Definitely should not be | 1686 |
| 8 | Can't choose | 1876 |
| 9 | No answer | 496 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46348 | 2372 |
Valid range from 1 to 4
v32 Q8a Who should provide: health care
| Value 38358 | Frequency | |
|---|---|---|
| 1 | Government | 38893 |
| 2 | Private companies/for-profit organisations | 2601 |
| 3 | Non-profit organisations/charities/cooperatives | 1928 |
| 4 | Religious organisations | 242 |
| 5 | Family, relatives or friends | 3080 |
| 8 | Can't choose | 1558 |
| 9 | No answer | 418 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46744 | 1976 |
Valid range from 1 to 5
v33 Q8b Who should provide: care for older people
| Value 39357 | Frequency | |
|---|---|---|
| 1 | Government | 32770 |
| 2 | Private companies/for-profit organisations | 2772 |
| 3 | Non-profit organisations/charities/cooperatives | 3536 |
| 4 | Religious organisations | 494 |
| 5 | Family, relatives or friends | 7164 |
| 8 | Can't choose | 1532 |
| 9 | No answer | 452 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46736 | 1984 |
Valid range from 1 to 5
v34 Q8c Who should provide: school education
| Value 40356 | Frequency | |
|---|---|---|
| 1 | Government | 42050 |
| 2 | Private companies/for-profit organisations | 1313 |
| 3 | Non-profit organisations/charities/cooperatives | 908 |
| 4 | Religious organisations | 291 |
| 5 | Family, relatives or friends | 2789 |
| 8 | Can't choose | 963 |
| 9 | No answer | 406 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47351 | 1369 |
Valid range from 1 to 5
v35 Q9a Influence on government actions: most influence
| Value 41355 | Frequency | |
|---|---|---|
| 1 | The media | 12447 |
| 2 | Trade unions | 3021 |
| 3 | Business, banks and industry | 11151 |
| 4 | Religious organisations/ authorities | 947 |
| 5 | The military/ army | 1269 |
| 6 | Organised crime | 999 |
| 7 | People who vote for the party/ the parties in government | 5404 |
| 8 | Citizens in general | 3885 |
| 9 | Civic and voluntary organisations | 467 |
| 10 | International organisations (e.g. United Nations, Internatio | 3033 |
| 98 | Can't choose | 3912 |
| 99 | No answer | 2185 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42623 | 6097 |
Valid range from 1 to 10
v36 Q9b Influence on government actions: second most influence
| Value 42354 | Frequency | |
|---|---|---|
| 1 | The media | 7408 |
| 2 | Trade unions | 4170 |
| 3 | Business, banks and industry | 7122 |
| 4 | Religious organisations/ authorities | 1675 |
| 5 | The military/ army | 1394 |
| 6 | Organised crime | 1467 |
| 7 | People who vote for the party/ the parties in government | 5710 |
| 8 | Citizens in general | 5056 |
| 9 | Civic and voluntary organisations | 1540 |
| 10 | International organisations (e.g. United Nations, Internatio | 4822 |
| 98 | Can't choose | 3842 |
| 99 | No answer, no second most influence | 4514 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40364 | 8356 |
Valid range from 1 to 10
v37 Q10 Affecting policies in [COUNTRY]
| Value 43353 | Frequency | |
|---|---|---|
| 1 | Policies in [COUNTRY] depend more on what is happening in th | 17579 |
| 2 | Policies in [COUNTRY] depend more on who is in government, r | 24188 |
| 8 | Can't choose | 5996 |
| 9 | No answer | 957 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41767 | 6953 |
Valid range from 1 to 2
v38 Q11a Government right: video surveillance
| Value 44352 | Frequency | |
|---|---|---|
| 1 | Definitely should have right | 15417 |
| 2 | Probably should have right | 16828 |
| 3 | Probably should not have right | 7232 |
| 4 | Definitely should not have right | 6853 |
| 8 | Can't choose | 1899 |
| 9 | No answer | 491 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46330 | 2390 |
Valid range from 1 to 4
v39 Q11b Government right: e-mails/ Internet monitoring
| Value 45351 | Frequency | |
|---|---|---|
| 1 | Definitely should have right | 5736 |
| 2 | Probably should have right | 11058 |
| 3 | Probably should not have right | 12884 |
| 4 | Definitely should not have right | 15373 |
| 8 | Can't choose | 3027 |
| 9 | No answer | 642 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45051 | 3669 |
Valid range from 1 to 4
v40 Q12 Government information: publicly available versus limited
| Value 46350 | Frequency | |
|---|---|---|
| 0 | All government information should be publicly available, eve | 2052 |
| 1 | 01 | 1410 |
| 2 | 02 | 1978 |
| 3 | 03 | 2933 |
| 4 | 04 | 2744 |
| 5 | 05 | 9220 |
| 6 | 06 | 4212 |
| 7 | 07 | 5399 |
| 8 | 08 | 5740 |
| 9 | 09 | 2483 |
| 10 | Public security should be given priority, even if this meant | 5862 |
| 98 | Can't choose | 3774 |
| 99 | No answer | 913 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44033 | 4687 |
Valid range from 0 to 10
v41 Q13a Government collect information: about anyone in country
| Value 47349 | Frequency | |
|---|---|---|
| 1 | Definitely should have right | 7329 |
| 2 | Probably should have right | 13487 |
| 3 | Probably should not have right | 11437 |
| 4 | Definitely should not have right | 12525 |
| 0 | NAP (HU: Question differs from ISSP standard) | 1000 |
| 8 | Can't choose | 2314 |
| 9 | No answer | 628 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44778 | 3942 |
Valid range from 1 to 4
HU_v41 Q13a Government should have right to collect information: about anyone in country
| Value 48348 | Frequency | |
|---|---|---|
| 1 | Almost always | 92 |
| 2 | Often | 191 |
| 3 | Sometimes | 408 |
| 4 | Almost never | 273 |
| 0 | NAP, other countries | 47720 |
| 8 | Can't choose | 5 |
| 9 | No answer | 31 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 964 | 47756 |
Valid range from 1 to 4
v42 Q13b Government collect information: about anyone abroad
| Value 49347 | Frequency | |
|---|---|---|
| 1 | Definitely should have right | 6174 |
| 2 | Probably should have right | 11799 |
| 3 | Probably should not have right | 12971 |
| 4 | Definitely should not have right | 13042 |
| 0 | NAP (HU: Question differs from ISSP standard) | 1000 |
| 8 | Can't choose | 2899 |
| 9 | No answer | 835 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43986 | 4734 |
Valid range from 1 to 4
HU_v42 Q13b Government should have right to collect information: about anyone abroad
| Value 50346 | Frequency | |
|---|---|---|
| 1 | Almost always | 95 |
| 2 | Often | 199 |
| 3 | Sometimes | 429 |
| 4 | Almost never | 236 |
| 0 | NAP, other countries | 47720 |
| 8 | Can't choose | 5 |
| 9 | No answer | 36 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 959 | 47761 |
Valid range from 1 to 4
v43 Q14a Terror suspect: Government should have the right to detain people
| Value 51345 | Frequency | |
|---|---|---|
| 1 | Definitely should have right | 8014 |
| 2 | Probably should have right | 11469 |
| 3 | Probably should not have right | 12397 |
| 4 | Definitely should not have right | 13733 |
| 8 | Can't choose | 2428 |
| 9 | No answer | 679 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45613 | 3107 |
Valid range from 1 to 4
v44 Q14b Terror suspect: Government should have the right to tap telephone
| Value 52344 | Frequency | |
|---|---|---|
| 1 | Definitely should have right | 11843 |
| 2 | Probably should have right | 16061 |
| 3 | Probably should not have right | 8533 |
| 4 | Definitely should not have right | 9642 |
| 8 | Can't choose | 1981 |
| 9 | No answer | 660 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46079 | 2641 |
Valid range from 1 to 4
v45 Q14c Terror suspect: Government should have the right to stop/ search people randomly
| Value 53343 | Frequency | |
|---|---|---|
| 1 | Definitely should have right | 9451 |
| 2 | Probably should have right | 15194 |
| 3 | Probably should not have right | 10115 |
| 4 | Definitely should not have right | 11049 |
| 8 | Can't choose | 2207 |
| 9 | No answer | 704 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45809 | 2911 |
Valid range from 1 to 4
v46 Q15 How much interested in politics
| Value 54342 | Frequency | |
|---|---|---|
| 1 | Very interested | 4445 |
| 2 | Fairly interested | 10039 |
| 3 | Somewhat interested | 13947 |
| 4 | Not very interested | 10235 |
| 5 | Not at all interested | 7594 |
| 0 | NAP (NZ: Answer categories differ from ISSP standard) | 1350 |
| 8 | Can't choose | 575 |
| 9 | No answer | 535 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46260 | 2460 |
Valid range from 1 to 5
NZ_v46 Q15 How much interested in politics
| Value 55341 | Frequency | |
|---|---|---|
| 1 | Very interested | 184 |
| 2 | Fairly interested | 675 |
| 3 | Not very interested | 379 |
| 4 | Not at all interested | 72 |
| 0 | NAP, other countries | 47370 |
| 8 | Can't choose | 0 |
| 9 | No answer | 40 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1310 | 47410 |
Valid range from 1 to 4
v47 Q16a People like me have no say about what government does
| Value 56340 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 10318 |
| 2 | Agree | 14355 |
| 3 | Neither agree nor disagree | 7996 |
| 4 | Disagree | 10012 |
| 5 | Strongly disagree | 4126 |
| 8 | Can't choose | 1334 |
| 9 | No answer | 579 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46807 | 1913 |
Valid range from 1 to 5
v48 Q16b Good understanding of political issues
| Value 57339 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 4894 |
| 2 | Agree | 17816 |
| 3 | Neither agree nor disagree | 11903 |
| 4 | Disagree | 8198 |
| 5 | Strongly disagree | 3345 |
| 8 | Can't choose | 1889 |
| 9 | No answer | 675 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46156 | 2564 |
Valid range from 1 to 5
v49 Q16c MPs try to keep promises
| Value 58338 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 2044 |
| 2 | Agree | 8822 |
| 3 | Neither agree nor disagree | 11165 |
| 4 | Disagree | 14531 |
| 5 | Strongly disagree | 9467 |
| 8 | Can't choose | 2005 |
| 9 | No answer | 686 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46029 | 2691 |
Valid range from 1 to 5
v50 Q16d Most civil servants can be trusted
| Value 59337 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 2197 |
| 2 | Agree | 11188 |
| 3 | Neither agree nor disagree | 12718 |
| 4 | Disagree | 12602 |
| 5 | Strongly disagree | 7056 |
| 8 | Can't choose | 2207 |
| 9 | No answer | 752 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45761 | 2959 |
Valid range from 1 to 5
v51 Q17a Taxes for high incomes
| Value 60336 | Frequency | |
|---|---|---|
| 1 | Much too high | 3430 |
| 2 | Too high | 6824 |
| 3 | About right | 12675 |
| 4 | Too low | 13918 |
| 5 | Much too low | 6590 |
| 8 | Can't choose | 4393 |
| 9 | No answer | 890 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43437 | 5283 |
Valid range from 1 to 5
v52 Q17b Taxes for middle incomes
| Value 61335 | Frequency | |
|---|---|---|
| 1 | Much too high | 5375 |
| 2 | Too high | 17054 |
| 3 | About right | 19134 |
| 4 | Too low | 2409 |
| 5 | Much too low | 447 |
| 8 | Can't choose | 3424 |
| 9 | No answer | 877 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44419 | 4301 |
Valid range from 1 to 5
v53 Q17c Taxes for low incomes
| Value 62334 | Frequency | |
|---|---|---|
| 1 | Much too high | 13628 |
| 2 | Too high | 16735 |
| 3 | About right | 11205 |
| 4 | Too low | 1828 |
| 5 | Much too low | 1052 |
| 8 | Can't choose | 3477 |
| 9 | No answer | 795 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44448 | 4272 |
Valid range from 1 to 5
v54 Q18a Tax authorities: make people pay taxes
| Value 63333 | Frequency | |
|---|---|---|
| 1 | Almost always | 16040 |
| 2 | Often | 15352 |
| 3 | Sometimes | 9702 |
| 4 | Almost never | 2406 |
| 8 | Can't choose | 4372 |
| 9 | No answer | 848 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43500 | 5220 |
Valid range from 1 to 4
v55 Q18b Tax authorities: treat everyone in accordance with law
| Value 64332 | Frequency | |
|---|---|---|
| 1 | Almost always | 9167 |
| 2 | Often | 12195 |
| 3 | Sometimes | 13752 |
| 4 | Almost never | 6981 |
| 8 | Can't choose | 5651 |
| 9 | No answer | 974 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42095 | 6625 |
Valid range from 1 to 4
v56 Q19a Major private companies: comply with laws
| Value 65331 | Frequency | |
|---|---|---|
| 1 | Almost always | 6264 |
| 2 | Often | 14594 |
| 3 | Sometimes | 16478 |
| 4 | Almost never | 5795 |
| 8 | Can't choose | 4636 |
| 9 | No answer | 953 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43131 | 5589 |
Valid range from 1 to 4
v57 Q19b Major private companies: try to avoid paying taxes
| Value 66330 | Frequency | |
|---|---|---|
| 1 | Almost always | 10313 |
| 2 | Often | 13966 |
| 3 | Sometimes | 14585 |
| 4 | Almost never | 4074 |
| 8 | Can't choose | 4827 |
| 9 | No answer | 955 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42938 | 5782 |
Valid range from 1 to 4
v58 Q20 How many politicians involved in corruption
| Value 67329 | Frequency | |
|---|---|---|
| 1 | Almost none | 2158 |
| 2 | A few | 7834 |
| 3 | Some | 12023 |
| 4 | Quite a lot | 14022 |
| 5 | Almost all | 7990 |
| 8 | Can't choose | 3763 |
| 9 | No answer | 930 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44027 | 4693 |
Valid range from 1 to 5
v59 Q21 How many public officials involved in corruption
| Value 68328 | Frequency | |
|---|---|---|
| 1 | Almost none | 2257 |
| 2 | A few | 9887 |
| 3 | Some | 13897 |
| 4 | Quite a lot | 12438 |
| 5 | Almost all | 4994 |
| 8 | Can't choose | 4152 |
| 9 | No answer | 1095 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43473 | 5247 |
Valid range from 1 to 5
v60 Q22 Last 5 years: How often public officials wanted a bribe
| Value 69327 | Frequency | |
|---|---|---|
| 1 | Never | 33711 |
| 2 | Seldom | 5190 |
| 3 | Occasionally | 3871 |
| 4 | Quite often | 1605 |
| 5 | Very often | 694 |
| 8 | Can't choose | 2744 |
| 9 | No answer | 905 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45071 | 3649 |
Valid range from 1 to 5
v61 Q23a Government successful: providing health care for sick
| Value 70326 | Frequency | |
|---|---|---|
| 1 | Very successful | 2407 |
| 2 | Quite successful | 10646 |
| 3 | Neither successful nor unsuccessful | 7719 |
| 4 | Quite unsuccessful | 5464 |
| 5 | Very unsuccessful | 2357 |
| 0 | NAV (BE,CL,DE,ES,HU,IL,NO,SI,SK,TW,US,ZA) | 18992 |
| 8 | Can't choose | 739 |
| 9 | No answer | 396 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 28593 | 20127 |
Valid range from 1 to 5
v62 Q23b Government successful: providing living standard for old
| Value 71325 | Frequency | |
|---|---|---|
| 1 | Very successful | 1663 |
| 2 | Quite successful | 7776 |
| 3 | Neither successful nor unsuccessful | 8371 |
| 4 | Quite unsuccessful | 8590 |
| 5 | Very unsuccessful | 3807 |
| 0 | NAV (BE,CL,DE,ES,HU,IL,NO,SI,SK,US,ZA) | 17026 |
| 8 | Can't choose | 1068 |
| 9 | No answer | 419 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 30207 | 18513 |
Valid range from 1 to 5
v63 Q23c Government successful: dealing with threats to security
| Value 72324 | Frequency | |
|---|---|---|
| 1 | Very successful | 2734 |
| 2 | Quite successful | 10835 |
| 3 | Neither successful nor unsuccessful | 7961 |
| 4 | Quite unsuccessful | 4593 |
| 5 | Very unsuccessful | 2572 |
| 0 | NAV (BE,CL,DE,ES,HU,IL,NO,SI,SK,US,ZA) | 17026 |
| 8 | Can't choose | 2480 |
| 9 | No answer | 519 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 28695 | 20025 |
Valid range from 1 to 5
SEX Sex of Respondent
| Value 73323 | Frequency | |
|---|---|---|
| 1 | Male | 22526 |
| 2 | Female | 26065 |
| 9 | No answer | 129 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48591 | 129 | 1 | 2 |
Valid range from 1 to 2
BIRTH Year of birth
| Value 74322 | Frequency | |
|---|---|---|
| 1917 | 1917 | 1 |
| 1919 | 1919; GB: 1919 or earlier | 7 |
| 2001 | 2001 | 26 |
| 0 | NAV (DK) | 1138 |
| 9999 | No answer | 601 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46981 | 1739 | 1917 | 2001 |
Valid range from 1917 to 2001
AGE Age of respondent
| Value 75321 | Frequency | |
|---|---|---|
| 15 | 15 years old | 13 |
| 97 | 97; GB: 97 years or older | 9 |
| 99 | 99 years old | 1 |
| 0 | NAP (DK: answer categories differ from ISSP standard) | 1138 |
| 999 | No answer | 167 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47415 | 1305 | 15 | 99 |
Valid range from 15 to 99
DK_AGE Age of respondent (Denmark)
| Value 76320 | 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 | 47582 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1138 | 47582 | 22 | 70 |
Valid range from 22 to 70
EDUCYRS Education I: years of schooling
| Value 77319 | Frequency | |
|---|---|---|
| 0 | No formal schooling, no years at school | 990 |
| 1 | 1 year | 74 |
| 8 | 8 years, NZ: <10 years | 2226 |
| 60 | 60 years | 1 |
| 95 | GB: Still at school | 5 |
| 96 | GB: Still at college/ university | 26 |
| 98 | Don't know | 407 |
| 99 | No answer | 1017 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47296 | 1424 | 0 | 96 |
Valid range from 0 to 96
AU_DEGR Country specific highest completed degree of education: Australia
| Value 78318 | Frequency | |
|---|---|---|
| 1 | Did not complete High School to Year 10 | 40 |
| 2 | Completed High School to Year 10 | 216 |
| 3 | Completed High School to Year 12 | 106 |
| 4 | Trade qualification or apprenticeship | 0 |
| 5 | Certificate or Diploma (TAFE or business college) | 452 |
| 6 | Bachelor Degree (including Honors) | 214 |
| 7 | Postgraduate Degree or Postgraduate Diploma | 204 |
| 0 | NAP, other countries | 47453 |
| 99 | No answer | 35 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1232 | 47488 | 1 | 7 |
Valid range from 1 to 7
BE_DEGR Country specific highest completed degree of education: Belgium
| Value 79317 | Frequency | |
|---|---|---|
| 1 | None | 61 |
| 2 | Primary Education | 109 |
| 3 | Lower general secondary | 128 |
| 4 | Lower technical art secondary | 90 |
| 5 | Lower vocational secondary | 76 |
| 6 | Higher general secondary | 203 |
| 7 | Higher technical art secondary | 162 |
| 8 | Higher vocational secondary | 93 |
| 9 | 7th year vocational secondary education | 54 |
| 10 | 7th year general technical art secondary education | 27 |
| 11 | Higher vocational education | 36 |
| 12 | Professional bachelor non-university, bachelor university | 432 |
| 13 | Higher education long type/2 cycles | 56 |
| 14 | University (master, licentiate, engineer, doctor) | 356 |
| 0 | NAP, other countries | 46768 |
| 99 | No answer | 69 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1883 | 46837 |
Valid range from 1 to 14
CH_DEGR Country specific highest completed degree of education: Switzerland
| Value 80316 | Frequency | |
|---|---|---|
| 1 | Incomplete primary education | 2 |
| 2 | Primary school (4 to 6 years of schooling) | 13 |
| 3 | Secondary education (first stage-including primary school wi | 90 |
| 4 | Additional year of secondary education, preparation for voca | 17 |
| 5 | Elementary vocational training (enterprise and school, 1-2 y | 39 |
| 6 | Apprenticeship (vocational training, dual system, 3-4 years) | 335 |
| 7 | General training school (2-3 years) | 36 |
| 8 | Vocational baccalaureate | 19 |
| 9 | Diploma for teaching primary school or pre-primary school | 23 |
| 10 | Baccalaureate preparing for university | 33 |
| 11 | Second vocational training (or apprenticeship as second educ | 21 |
| 12 | Vocational baccalaureate for adults | 4 |
| 13 | Baccalaureate for adults or apprenticeship after Baccalaurea | 9 |
| 14 | Advanced vocational qualification - specialization exam, fed | 52 |
| 15 | Higher vocational training - diploma of a high school - tech | 52 |
| 16 | Higher vocational training - diploma of specific high school | 47 |
| 17 | Applied science and pedagogical university - Bachelor | 5 |
| 18 | Applied science and pedagogical university - Master | 73 |
| 19 | University diploma - intermediary level | 36 |
| 20 | University (including technical) - Bachelor and short degree | 42 |
| 21 | University (including technical) - requiring more than 4 yea | 23 |
| 22 | University (including technical) - Master | 64 |
| 23 | Doctoral degree | 29 |
| 0 | NAP, other countries | 47654 |
| 99 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1064 | 47656 | 1 | 23 |
Valid range from 1 to 23
CL_DEGR Country specific highest completed degree of education: Chile
| Value 81315 | Frequency | |
|---|---|---|
| 1 | No formal education | 27 |
| 2 | Incomplete primary | 252 |
| 3 | Primary completed | 130 |
| 4 | Incomplete secondary | 154 |
| 5 | Secondary completed | 441 |
| 6 | Incomplete non-university higher education | 68 |
| 7 | Completed non-university higher education | 116 |
| 8 | Incomplete University | 46 |
| 9 | University completed | 127 |
| 10 | Master, Ph.D. | 20 |
| 0 | NAP, other countries | 47304 |
| 99 | No answer | 35 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1381 | 47339 |
Valid range from 1 to 10
CZ_DEGR Country specific highest completed degree of education: Czech Republic
| Value 82314 | Frequency | |
|---|---|---|
| 1 | Incomplete primary | 1 |
| 2 | Primary completed | 108 |
| 3 | Lower vocational, no diploma | 358 |
| 4 | General secondary, no diploma | 124 |
| 5 | Vocational with diploma | 131 |
| 6 | Technical secondary | 319 |
| 7 | Academic secondary | 81 |
| 8 | Post secondary | 37 |
| 9 | Tertiary, Bachelor degree | 71 |
| 10 | Tertiary, Master degree | 153 |
| 11 | Post-graduate education | 6 |
| 0 | NAP, other countries | 47320 |
| 99 | No answer | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1389 | 47331 |
Valid range from 1 to 11
DE_DEGR Country specific highest completed degree of education: Germany
| Value 83313 | Frequency | |
|---|---|---|
| 1 | Still at school: < 7 years of schooling | 0 |
| 2 | Still at school: 7 years of schooling and more | 8 |
| 3 | School left without certificate | 9 |
| 4 | Lower secondary (Hauptschule) | 57 |
| 5 | Middle school (mittlere Reife) | 55 |
| 6 | Secondary, technical (Fachhochschulreife) | 21 |
| 7 | Higher secondary (Abitur) | 72 |
| 8 | Vocational training, degree from German dual system | 940 |
| 9 | Vocational training, master craftsmen (Meister) | 123 |
| 10 | University of applied sciences (FH): bachelor | 12 |
| 11 | University: bachelor | 27 |
| 12 | University of applied sciences (FH): master or other degree | 119 |
| 13 | University: master or other degree | 215 |
| 14 | University: doctorate | 29 |
| 95 | Other qualification | 1 |
| 0 | NAP, other countries | 47031 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1688 | 47032 |
Valid range from 1 to 95
DK_DEGR Country specific highest completed degree of education: Denmark
| Value 84312 | 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 |
| 0 | NAP, other countries | 47582 |
| 99 | No answer | 82 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1056 | 47664 | 1 | 13 |
Valid range from 1 to 13
ES_DEGR Country specific highest completed degree of education: Spain
| Value 85311 | 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 iniciacion) | 8 |
| 14 | Voc training, elementary (PCPI) | 3 |
| 15 | Voc training, elementary (F.P. oficialia) | 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. maestria) | 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/socia | 9 |
| 25 | Graduate degree | 137 |
| 26 | Bachelor degree (old system), Masters degree | 200 |
| 27 | Ph.D | 16 |
| 0 | NAP, other countries | 46886 |
| 99 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1829 | 46891 | 1 | 27 |
Valid range from 1 to 27
FI_DEGR Country specific highest completed degree of education: Finland
| Value 86310 | Frequency | |
|---|---|---|
| 1 | Still in primary or lower secondary education | 15 |
| 2 | Primary education | 86 |
| 3 | Lower secondary education | 73 |
| 4 | Vocational school or course | 280 |
| 5 | General upper secondary education | 109 |
| 6 | College-level vocational education | 247 |
| 7 | Polytechnic, university of applied sciences | 143 |
| 8 | University, lower academic degree | 59 |
| 9 | University, higher academic degree | 170 |
| 0 | NAP, other countries | 47534 |
| 99 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1182 | 47538 |
Valid range from 1 to 9
FR_DEGR Country specific highest completed degree of education: France
| Value 87309 | Frequency | |
|---|---|---|
| 1 | None | 30 |
| 2 | Primary level | 116 |
| 3 | Lower secondary general education level 2 | 78 |
| 4 | Lower secondary vocational education level 2 or incomplete u | 310 |
| 5 | Incomplete upper secondary general education level 3 | 80 |
| 6 | Complete upper secondary vocational education level 3 | 121 |
| 7 | Complete upper secondary general education level 3 | 131 |
| 8 | Short term vocational tertiary education level 5 | 187 |
| 9 | Short term general tertiary education level 5 or Bachelor le | 134 |
| 10 | Master level 7 or Doctorate level 8 | 307 |
| 0 | NAP, other countries | 47219 |
| 99 | No answer | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1494 | 47226 |
Valid range from 1 to 10
GB_DEGR Country specific highest completed degree of education: Great Britain (GB-GBN)
| Value 88308 | Frequency | |
|---|---|---|
| 1 | No secondary qualifications | 279 |
| 2 | CSE, GCSE or equivalent | 129 |
| 3 | O-level or equivalent | 299 |
| 4 | A-level or equivalent | 260 |
| 5 | Higher educ below degree level | 179 |
| 6 | Degree, University or CNAA or Diploma | 381 |
| 95 | Foreign or other | 33 |
| 0 | NAP, other countries | 47157 |
| 99 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1560 | 47160 |
Valid range from 1 to 95
GE_DEGR Country specific highest completed degree of education: Georgia
| Value 89307 | 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 | 47233 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1487 | 47233 | 1 | 8 |
Valid range from 1 to 8
HR_DEGR Country specific highest completed degree of education: Croatia
| Value 90306 | Frequency | |
|---|---|---|
| 1 | Primary school not completed | 17 |
| 2 | Primary school completed | 97 |
| 3 | Three years vocational school completed | 232 |
| 4 | Four years vocational school completed | 10 |
| 5 | General secondary school (gymnasium) completed | 422 |
| 6 | Completed higher school, post secondary degree, college | 102 |
| 7 | University degree completed, university studies | 146 |
| 0 | NAP, other countries | 47694 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1026 | 47694 | 1 | 7 |
Valid range from 1 to 7
HU_DEGR Country specific highest completed degree of education: Hungary
| Value 91305 | Frequency | |
|---|---|---|
| 1 | Less than 8th grade | 18 |
| 2 | 8th grade | 170 |
| 3 | Trade school, voc training without high-school leaving exam | 311 |
| 4 | Vocational school with leaving exam | 185 |
| 5 | Grammar school, high-school diploma | 125 |
| 6 | Vocational training following high-school leaving exam | 43 |
| 7 | Accredited higher education professional training | 17 |
| 8 | College (BA/BSc) | 103 |
| 9 | University (MA/MSc) | 28 |
| 0 | NAP, other countries | 47720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1000 | 47720 |
Valid range from 1 to 9
IL_DEGR Country specific highest completed degree of education: Israel
| Value 92304 | 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 | 47472 |
| 99 | No answer | 15 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1233 | 47487 | 1 | 14 |
Valid range from 1 to 14
IN_DEGR Country specific highest completed degree of education: India
| Value 93303 | Frequency | |
|---|---|---|
| 1 | Illiterate | 298 |
| 2 | Non formal education (can read and write) | 38 |
| 3 | UP to Primary Level | 176 |
| 4 | Complete Primary | 179 |
| 5 | UP to High School | 326 |
| 6 | Higher secondary | 258 |
| 7 | UP to Graduate | 196 |
| 8 | Post Graduate | 28 |
| 9 | Professional | 9 |
| 0 | NAP, other countries | 47212 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1508 | 47212 |
Valid range from 1 to 9
IS_DEGR Country specific highest completed degree of education: Iceland
| Value 94302 | Frequency | |
|---|---|---|
| 1 | Primary school not completed | 3 |
| 2 | Primary school (around 12 years old) | 16 |
| 3 | Primary school (around 14 years old) | 38 |
| 4 | Compulsory education (around 16 years old) | 151 |
| 5 | Short vocational training to secondary school level | 93 |
| 6 | Upper secondary completed, exam from the university bridging | 128 |
| 7 | Apprenticeship - upper secondary | 117 |
| 8 | Longer vocational training to secondary level | 53 |
| 9 | Vocational training on completion of secondary school level | 33 |
| 10 | Master craftsman - licence to supervise apprentices | 61 |
| 11 | Short, practical training at university level, diploma | 43 |
| 12 | Short vocational training at university level, basic diploma | 43 |
| 13 | Undergraduate degree BA/BS/B.Ed. or additional diploma | 221 |
| 14 | Studies at university longer than 4 years, at an undergradua | 32 |
| 15 | Master's degree MA/MS | 176 |
| 16 | Doctoral degree, PhD | 15 |
| 17 | Other | 0 |
| 0 | NAP, other countries | 47398 |
| 99 | No answer | 99 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1223 | 47497 |
Valid range from 1 to 17
JP_DEGR Country specific highest completed degree of education: Japan
| Value 95301 | Frequency | |
|---|---|---|
| 1 | Junior High School completed | 247 |
| 2 | Still at High School | 59 |
| 3 | High School completed | 622 |
| 4 | Still at Junior college or university | 40 |
| 5 | Junior college completed | 282 |
| 6 | Still at Graduate school | 1 |
| 7 | Finished University or graduate | 337 |
| 95 | Others | 10 |
| 0 | NAP, other countries | 47109 |
| 99 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1598 | 47122 |
Valid range from 1 to 95
KR_DEGR Country specific highest completed degree of education: Korea (South)
| Value 96300 | Frequency | |
|---|---|---|
| 1 | No formal schooling, Seodang, Hanhak (old style non-formal e | 50 |
| 2 | Elementary incomplete | 26 |
| 3 | Elementary completed | 103 |
| 4 | Middle school, junior high school incomplete | 19 |
| 5 | Middle school, junior high school completed | 53 |
| 6 | High school incomplete | 11 |
| 7 | High school completed | 248 |
| 8 | Junior college incomplete, 2-3 years | 15 |
| 9 | Junior college completed, 2-3 years | 98 |
| 10 | University incomplete, 4 years course | 101 |
| 11 | University completed, 4 years course | 242 |
| 12 | Master degree incomplete | 8 |
| 13 | Master degree completed | 56 |
| 14 | Doctoral degree incomplete | 2 |
| 15 | Doctoral degree, PhD completed | 12 |
| 0 | NAP, other countries | 47669 |
| 99 | No answer | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1044 | 47676 |
Valid range from 1 to 15
LT_DEGR Country specific highest completed degree of education: Lithuania
| Value 97299 | Frequency | |
|---|---|---|
| 1 | Not completed primary | 1 |
| 2 | Primary | 11 |
| 3 | Vocational (without completing basic) | 4 |
| 4 | Basic (including youth schools, night schools) | 56 |
| 5 | Vocational (completing basic) | 69 |
| 6 | Vocational (after completing basic, the training program las | 20 |
| 7 | Vocational (after completing basic, the training program las | 33 |
| 8 | Secondary (including gymnasium schools, lyceums, night schoo | 174 |
| 9 | Vocational together with secondary (after completing basic) | 48 |
| 10 | Vocational (after completing secondary) | 73 |
| 11 | Higher vocational or special secondary after completing basi | 64 |
| 12 | Higher vocational or special secondary after completing seco | 87 |
| 13 | Higher vocational (non-university degree) | 124 |
| 14 | Higher (university degree attained in bachelor studies) | 140 |
| 15 | Higher university degree attained in integrated studies or i | 55 |
| 16 | Higher (university degree attained in master or resident stu | 43 |
| 17 | Doctoral or candidate of sciences degree | 3 |
| 0 | NAP, other countries | 47714 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1005 | 47715 |
Valid range from 1 to 17
LV_DEGR Country specific highest completed degree of education: Latvia
| Value 98298 | 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 | 47718 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1002 | 47718 | 1 | 7 |
Valid range from 1 to 7
NO_DEGR Country specific highest completed degree of education: Norway
| Value 99297 | Frequency | |
|---|---|---|
| 1 | No formal education completed | 8 |
| 2 | Primary compulsory, lower secondary compulsory | 67 |
| 3 | Lower secondary voluntary, higher secondary incomplete | 174 |
| 4 | Upper secondary, vocational completed | 85 |
| 5 | Upper secondary, general completed | 114 |
| 6 | Technical and training college | 50 |
| 7 | University, College, incomplete, less than 3 years | 188 |
| 8 | University, College, completed, 3-4 years | 330 |
| 9 | University, College, completed, 5 years or more | 202 |
| 0 | NAP, other countries | 47460 |
| 99 | No answer | 42 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1218 | 47502 |
Valid range from 1 to 9
NZ_DEGR Country specific highest completed degree of education: New Zealand
| Value 100296 | Frequency | |
|---|---|---|
| 1 | No formal qualification | 205 |
| 2 | Level 1 Certificate | 121 |
| 3 | Level 2 Certificate | 94 |
| 4 | Level 3 Certificate and Level 4 Certificate | 106 |
| 5 | Trade qualification or apprenticeship | 196 |
| 6 | Certificate or Diploma | 179 |
| 7 | Bachelor Degree (including Honours) | 240 |
| 8 | Postgraduate Diploma or higher education | 185 |
| 0 | NAP, other countries | 47370 |
| 99 | No answer | 24 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1326 | 47394 |
Valid range from 1 to 8
PH_DEGR Country specific highest completed degree of education: Philippines
| Value 101295 | 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 | 47520 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 47520 | 1 | 10 |
Valid range from 1 to 10
RU_DEGR Country specific highest completed degree of education: Russia
| Value 102294 | Frequency | |
|---|---|---|
| 1 | Primary school or less | 16 |
| 2 | Incomplete secondary (7-9 years of school) | 99 |
| 3 | Trade school, intermediate school | 94 |
| 4 | High secondary school completed (10-11 years of school) | 277 |
| 5 | Trade school, high secondary completed | 95 |
| 6 | Technical secondary school (college, technikum) | 516 |
| 7 | Higher education incomplete | 55 |
| 8 | Higher education completed, university degree | 413 |
| 9 | Two diplomas of higher educ completed, postgrad or postdoc | 11 |
| 0 | NAP, other countries | 47144 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1576 | 47144 |
Valid range from 1 to 9
SE_DEGR Country specific highest completed degree of education: Sweden
| Value 103293 | Frequency | |
|---|---|---|
| 1 | Incomplete primary/ comprehensive school | 10 |
| 2 | Primary/ comprehensive school pre 1962 (6-8 years) | 79 |
| 3 | Primary/ comprehensive school post 1962 (9 years) | 77 |
| 4 | Lower secondary school | 25 |
| 5 | Vocational school (1963-70) | 20 |
| 6 | Vocational school (2 years) | 145 |
| 7 | 3 or 4 years gymnasium, academic track | 135 |
| 8 | Vocational school post 1992 | 73 |
| 9 | Gymnasium, academic track post 1992 | 32 |
| 10 | University studies without degree | 81 |
| 11 | University degree, less than 3 years | 81 |
| 12 | University degree, 3 years or more | 335 |
| 13 | Doctor's degree | 17 |
| 0 | NAP, other countries | 47580 |
| 99 | No answer | 30 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1110 | 47610 |
Valid range from 1 to 13
SI_DEGR Country specific highest completed degree of education: Slovenia
| Value 104292 | 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 | 66 |
| 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 | 47696 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1023 | 47697 | 1 | 12 |
Valid range from 1 to 12
SK_DEGR Country specific highest completed degree of education: Slovakia
| Value 105291 | Frequency | |
|---|---|---|
| 1 | Incomplete elementary school | 9 |
| 2 | Completed elementary school | 85 |
| 3 | Completed elementary and vocational training | 29 |
| 4 | Vocational training with certificate, apprenticeship | 258 |
| 5 | Vocational school or trade school | 49 |
| 6 | Completed apprenticeship training with maturity level certif | 128 |
| 7 | Completed vocational upper secondary education | 329 |
| 8 | Completed general upper secondary education, grammar school | 49 |
| 9 | Follow-up, post-maturity education | 30 |
| 10 | University, college education, bachelor degree | 32 |
| 11 | University, college completed master or engineering programm | 141 |
| 12 | Postgraduate level or higher education study | 6 |
| 0 | NAP, other countries | 47570 |
| 99 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1145 | 47575 | 1 | 12 |
Valid range from 1 to 12
SR_DEGR Country specific highest completed degree of education: Suriname
| Value 106290 | Frequency | |
|---|---|---|
| 1 | Did not go to school, illiterate | 79 |
| 2 | Some primary, literate; (BO) | 170 |
| 3 | 6 yrs Primary (GLO) | 353 |
| 4 | Primary + 1 yr Vocational (EBO) | 24 |
| 5 | Primary + 4 yrs lower level (LBGO,ULO) | 108 |
| 6 | Primary + 4 yrs Vocational (LTO) | 56 |
| 7 | Primary + 4 yrs midlevel (MULO) | 115 |
| 8 | MULO + Nurses Training (COVAB) | 17 |
| 9 | MULU-LTO + 4 yrs Vocational (Natin, AMTO) | 34 |
| 10 | MULO + 4 yrs Teacher Training (Pedag.instellingen) | 54 |
| 11 | MULO + 3 yrs Commercial Training (IMEO) | 53 |
| 12 | Higher Secondary 2 yrs (HAVO) | 43 |
| 13 | Higher Secondary 3 yrs (VWO) | 33 |
| 14 | Tertiary Vocational 2-4 yrs (HBO) | 55 |
| 15 | Tertiary Academic 3 yrs (Universiteit BSC) | 27 |
| 16 | Tertiary Academic 5 yrs (Universiteit MSC) | 22 |
| 0 | NAP, other countries | 47447 |
| 99 | No answer | 30 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1243 | 47477 |
Valid range from 1 to 16
TH_DEGR Country specific highest completed degree of education: Thailand
| Value 107289 | Frequency | |
|---|---|---|
| 1 | Informal education | 52 |
| 2 | Not finished primary school | 243 |
| 3 | Primary school | 520 |
| 4 | Lower secondary school (or equivalent) | 73 |
| 5 | Vocational school | 63 |
| 6 | Upper secondary school | 362 |
| 7 | Not finished undergraduate | 35 |
| 8 | Lower level tertiary | 100 |
| 9 | Upper level tertiary | 26 |
| 0 | NAP, other countries | 47245 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1474 | 47246 | 1 | 9 |
Valid range from 1 to 9
TR_DEGR Country specific highest completed degree of education: Turkey
| Value 108288 | Frequency | |
|---|---|---|
| 1 | No formal education | 131 |
| 2 | Primary completed | 543 |
| 3 | Junior High School completed | 195 |
| 4 | High School completed | 435 |
| 5 | Incomplete University degree | 23 |
| 6 | University degree completed | 206 |
| 0 | NAP, other countries | 47185 |
| 99 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1533 | 47187 |
Valid range from 1 to 6
TW_DEGR Country specific highest completed degree of education: Taiwan
| Value 109287 | Frequency | |
|---|---|---|
| 1 | None | 65 |
| 2 | Self-study | 12 |
| 3 | Elementary school | 279 |
| 4 | Junior high school | 205 |
| 5 | Vocational junior high school | 3 |
| 6 | Senior high school general | 84 |
| 7 | Senior high school vocational subject | 107 |
| 8 | Vocational senior high school | 257 |
| 9 | Cadet school, senior high level | 6 |
| 10 | 5 years junior college, after junior high | 56 |
| 11 | 2 years junior college after vocational high | 126 |
| 12 | 3 years junior college, after high general | 12 |
| 13 | Military, police junior college, 1 year | 6 |
| 14 | Military, police college, 2 years | 4 |
| 15 | Open junior college | 8 |
| 16 | Open college | 3 |
| 17 | Military, Police college | 6 |
| 18 | Institute of technology | 200 |
| 19 | University, bachelor degree | 364 |
| 20 | Graduate school, master degree | 146 |
| 21 | Graduate school, doctoral degree, PhD | 17 |
| 0 | NAP, other countries | 46754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1966 | 46754 |
Valid range from 1 to 21
US_DEGR Country specific highest completed degree of education: United States
| Value 110286 | Frequency | |
|---|---|---|
| 1 | Less than High school | 169 |
| 2 | High school | 690 |
| 3 | Junior college | 113 |
| 4 | Bachelor degree | 263 |
| 5 | Graduate school | 151 |
| 0 | NAP, other countries | 47330 |
| 99 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1386 | 47334 |
Valid range from 1 to 5
VE_DEGR Country specific highest completed degree of education: Venezuela
| Value 111285 | Frequency | |
|---|---|---|
| 1 | No formal education | 6 |
| 2 | Elementary school incomplete | 18 |
| 3 | Elementary school complete | 130 |
| 4 | Middle school incomplete | 36 |
| 5 | Middle school complete | 121 |
| 6 | High school incomplete | 25 |
| 7 | High school complete | 398 |
| 8 | Professional high school incomplete | 1 |
| 9 | Professional high school complete | 51 |
| 10 | University technician incomplete | 13 |
| 11 | University technician complete | 92 |
| 12 | University incomplete | 34 |
| 13 | University complete | 111 |
| 14 | Postgraduate study incomplete | 5 |
| 15 | Postgraduate study complete | 4 |
| 0 | NAP, other countries | 47675 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1045 | 47675 |
Valid range from 1 to 15
ZA_DEGR Country specific highest completed degree of education: South Africa
| Value 112284 | Frequency | |
|---|---|---|
| 1 | No schooling | 126 |
| 2 | Grade 0/ Grade R | 11 |
| 3 | Grade 1/ Sub A | 14 |
| 4 | Grade 2/ Sub B | 30 |
| 5 | Grade 3/ Standard 1 | 39 |
| 6 | Grade 4/ Standard 2 | 53 |
| 7 | Grade 5/ Standard 3 | 91 |
| 8 | Grade 6/ Standard 4 | 102 |
| 9 | Grade 7/ Standard 5 | 130 |
| 10 | Grade 8/ Standard 6/ Form 1 | 190 |
| 11 | Grade 9/ Standard 7/ Form 2 | 175 |
| 12 | Grade 10/ Standard 8/ Form 3 | 336 |
| 13 | Grade 11/ Standard 9/ Form 4 | 363 |
| 14 | Grade 12/ Standard 10/ Form 5/ Matric | 895 |
| 15 | NTC I | 24 |
| 16 | NTC II | 14 |
| 17 | NTC III | 34 |
| 18 | NTC IV Dipl/ certif with < Grade 12/ Std 10 | 24 |
| 19 | NTC V Dipl/ certif with Grade 12/ Std 10 | 9 |
| 20 | NTC VI | 23 |
| 21 | Diploma | 131 |
| 22 | Advanced diploma | 45 |
| 23 | Bachelor degree | 72 |
| 24 | Post graduate diploma (PGD) | 13 |
| 25 | Honours degree | 20 |
| 26 | Master degree | 26 |
| 27 | Doctorate degree, Laureatus in Technolgy | 6 |
| 0 | NAP, other countries | 45657 |
| 99 | No answer | 67 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2996 | 45724 |
Valid range from 1 to 27
DEGREE Highest completed education level: Categories for international comparison
| Value 113283 | Frequency | |
|---|---|---|
| 0 | No formal education | 2662 |
| 1 | Primary school (elementary education) | 4101 |
| 2 | Lower secondary (secondary completed that does not allow ent | 9563 |
| 3 | Upper secondary (programs that allows entry to university) | 12154 |
| 4 | Post secondary, non-tertiary (other upper secondary programs | 6239 |
| 5 | Lower level tertiary, first stage (also technical schools at | 8449 |
| 6 | Upper level tertiary (Master, Doctor) | 4865 |
| 9 | No answer, other | 687 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48033 | 687 | 0 | 6 |
Valid range from 0 to 6
WORK Currently, formerly, or never in paid work
| Value 114282 | Frequency | |
|---|---|---|
| 1 | Currently in paid work; NZ: In paid work | 25856 |
| 2 | Currently not in paid work, paid work in the past; NZ: Not i | 16239 |
| 3 | Never had paid work | 5905 |
| 9 | No answer | 720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48000 | 720 | 1 | 3 |
Valid range from 1 to 3
WRKHRS Hours worked weekly
| Value 115281 | Frequency | |
|---|---|---|
| 1 | One hour | 13 |
| 89 | 89; US: 89 hours or more | 3 |
| 95 | 95; GB: 95 + | 4 |
| 96 | 96 hours and more | 158 |
| 0 | NAP (Code 2, 3 in WORK; NZ:Code 2-9 MAINSTAT) | 22148 |
| 98 | Don't know, GB: Incl. varies too much to say | 445 |
| 99 | No answer | 1668 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 24459 | 24261 | 1 | 96 |
Valid range from 1 to 96
EMPREL Employment relationship
| Value 116280 | Frequency | |
|---|---|---|
| 1 | Employee | 33504 |
| 2 | Self-employed without employees | 4169 |
| 3 | Self-employed with employees | 1797 |
| 4 | Working for own family's business | 1185 |
| 0 | NAP (Code 3 in WORK; NZ: Code 2-9 MAINSTAT) | 6394 |
| 9 | No answer | 1671 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40655 | 8065 | 1 | 4 |
Valid range from 1 to 4
NEMPLOY Self-employed: how many employees
| Value 117279 | Frequency | |
|---|---|---|
| 1 | 1 employee; SR: 0-1 subord., not supervised | 326 |
| 4 | 4 employees; SR: 2-5 subordinates | 178 |
| 9 | 9 employees; SR: 6-11 subordinates | 23 |
| 19 | 19 employees; SR: 12-25 subordinates | 10 |
| 30 | 30 employees; SR: More than 25 subordinates | 33 |
| 97 | 97; US: 97 or more employees | 3 |
| 500 | 500; GB: 500 + | 4 |
| 9995 | 9995 employees or more | 0 |
| 0 | NAP (Code 1, 2, 4, 0 in EMPREL) | 45241 |
| 9998 | Don't know | 5 |
| 9999 | No answer | 1750 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1724 | 46996 | 1 | 3000 |
Valid range from 1 to 9995
WRKSUP Supervise other employees
| Value 118278 | Frequency | |
|---|---|---|
| 1 | Yes | 10165 |
| 2 | No | 29725 |
| 0 | NAP (Code 3 (US:2,3) in WORK; NZ: Code 2-9 MAINSTAT) | 6873 |
| 8 | Don't know | 20 |
| 9 | No answer | 1937 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 39890 | 8830 | 1 | 2 |
Valid range from 1 to 2
NSUP Number of other employees supervised
| Value 119277 | Frequency | |
|---|---|---|
| 1 | 1 employee; SR: 0-1 subord., not supervised | 1272 |
| 4 | 4 employees; SR: 2-5 subordinates | 802 |
| 9 | 9 employees; SR: 6-11 subordinates | 171 |
| 19 | 19 employees; SR: 12-25 subordinates | 58 |
| 30 | 30 employees: SR: More than 25 subordinates | 279 |
| 999 | 999 employees; FR: 999 employees or more | 1 |
| 9995 | 9995 employees or more | 4 |
| 0 | NAP (Code 2, 0 in WRKSUP); NAV (US) | 36259 |
| 9998 | Don't know | 79 |
| 9999 | No answer | 2472 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 9910 | 38810 | 1 | 9995 |
Valid range from 1 to 9995
TYPORG1 Type of organization, for-profit/ non-profit
| Value 120276 | Frequency | |
|---|---|---|
| 1 | For-profit organization | 26847 |
| 2 | Non-profit organization | 10828 |
| 0 | NAP (Code 3 in WORK; NZ: Code 2-9 MAINSTAT); NAV (US) | 7717 |
| 8 | Don't know | 1228 |
| 9 | No answer | 2100 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 37675 | 11045 | 1 | 2 |
Valid range from 1 to 2
TYPORG2 Type of organization, public/ private
| Value 121275 | Frequency | |
|---|---|---|
| 1 | Public employer | 12189 |
| 2 | Private employer | 27395 |
| 0 | NAP (Code 3 in WORK; NZ: Code 2-9 MAINSTAT) | 6372 |
| 8 | Don't know | 1026 |
| 9 | No answer | 1738 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 39584 | 9136 | 1 | 2 |
Valid range from 1 to 2
ISCO08 Occupation ISCO/ ILO 2008
| Value 122274 | Frequency | |
|---|---|---|
| 110 | Commissioned armed forces officers | 77 |
| 210 | Non-commissioned armed forces officers | 38 |
| 310 | Armed forces occupations, other ranks | 71 |
| 1000 | Managers | 48 |
| 1100 | Chief executives, senior officials and legislators | 1 |
| 1110 | Legislators and senior officials | 3 |
| 1111 | Legislators | 16 |
| 1112 | Senior government officials | 30 |
| 1113 | Traditional chiefs and heads of village | 40 |
| 1114 | Senior officials of special-interest organizations | 21 |
| 1120 | Managing directors and chief executives | 330 |
| 1200 | Administrative and commercial managers | 40 |
| 1210 | Business services and administration managers | 17 |
| 1211 | Finance managers | 139 |
| 1212 | Human resource managers | 76 |
| 1213 | Policy and planning managers | 47 |
| 1219 | Business services and administration managers not elsewhere | 177 |
| 1220 | Sales, marketing and development managers | 7 |
| 1221 | Sales and marketing managers | 221 |
| 1222 | Advertising and public relations managers | 35 |
| 1223 | Research and development managers | 42 |
| 1300 | Production and specialised services managers | 49 |
| 1310 | Production managers in agriculture, forestry and fisheries | 2 |
| 1311 | Agricultural and forestry production managers | 75 |
| 1312 | Aquaculture and fisheries production managers | 7 |
| 1320 | Manufacturing, mining, construction, and distribution manage | 5 |
| 1321 | Manufacturing managers | 197 |
| 1322 | Mining managers | 11 |
| 1323 | Construction managers | 105 |
| 1324 | Supply, distribution and related managers | 144 |
| 1330 | Information and communications technology service managers | 104 |
| 1340 | Professional services managers | 44 |
| 1341 | Child care services managers | 24 |
| 1342 | Health services managers | 87 |
| 1343 | Aged care services managers | 15 |
| 1344 | Social welfare managers | 31 |
| 1345 | Education managers | 151 |
| 1346 | Financial and insurance services branch managers | 43 |
| 1349 | Professional services managers not elsewhere classified | 53 |
| 1400 | Hospitality, retail and other services managers | 11 |
| 1410 | Hotel and restaurant managers | 26 |
| 1411 | Hotel managers | 29 |
| 1412 | Restaurant managers | 109 |
| 1420 | Retail and wholesale trade managers | 240 |
| 1430 | Other services managers | 2 |
| 1431 | Sports, recreation and cultural centre managers | 25 |
| 1439 | Services managers not elsewhere classified | 69 |
| 2000 | Professionals | 43 |
| 2100 | Science and engineering professionals | 46 |
| 2110 | Physical and earth science professionals | 1 |
| 2111 | Physicists and astronomers | 9 |
| 2112 | Meteorologists | 2 |
| 2113 | Chemists | 25 |
| 2114 | Geologists and geophysicists | 15 |
| 2120 | Mathematicians, actuaries and statisticians | 24 |
| 2130 | Life science professionals | 5 |
| 2131 | Biologists, botanists, zoologists and related professionals | 36 |
| 2132 | Farming, forestry and fisheries advisers | 30 |
| 2133 | Environmental protection professionals | 22 |
| 2140 | Engineering professionals (excluding electrotechnology) | 50 |
| 2141 | Industrial and production engineers | 66 |
| 2142 | Civil engineers | 96 |
| 2143 | Environmental engineers | 12 |
| 2144 | Mechanical engineers | 90 |
| 2145 | Chemical engineers | 21 |
| 2146 | Mining engineers, metallurgists and related professionals | 23 |
| 2149 | Engineering professionals not elsewhere classified | 95 |
| 2150 | Electrotechnology engineers | 4 |
| 2151 | Electrical engineers | 46 |
| 2152 | Electronics engineers | 28 |
| 2153 | Telecommunications engineers | 15 |
| 2160 | Architects, planners, surveyors and designers | 20 |
| 2161 | Building architects | 98 |
| 2162 | Landscape architects | 8 |
| 2163 | Product and garment designers | 26 |
| 2164 | Town and traffic planners | 17 |
| 2165 | Cartographers and surveyors | 24 |
| 2166 | Graphic and multimedia designers | 68 |
| 2200 | Health professionals | 7 |
| 2210 | Medical doctors | 39 |
| 2211 | Generalist medical practitioners | 76 |
| 2212 | Specialist medical practitioners | 96 |
| 2220 | Nursing and midwifery professionals | 18 |
| 2221 | Nursing professionals | 436 |
| 2222 | Midwifery professionals | 52 |
| 2230 | Traditional and complementary medicine professionals | 14 |
| 2240 | Paramedical practitioners | 17 |
| 2250 | Veterinarians | 23 |
| 2260 | Other health professionals | 2 |
| 2261 | Dentists | 30 |
| 2262 | Pharmacists | 54 |
| 2263 | Environmental and occupational health and hygiene profession | 13 |
| 2264 | Physiotherapists | 68 |
| 2265 | Dieticians and nutritionists | 22 |
| 2266 | Audiologists and speech therapists | 15 |
| 2267 | Optometrists and ophthalmic opticians | 6 |
| 2269 | Health professionals not elsewhere classified | 33 |
| 2300 | Teaching professionals | 139 |
| 2310 | University and higher education teachers | 193 |
| 2320 | Vocational education teachers | 98 |
| 2330 | Secondary education teachers | 586 |
| 2340 | Primary school and early childhood teachers | 88 |
| 2341 | Primary school teachers | 733 |
| 2342 | Early childhood educators | 289 |
| 2350 | Other teaching professionals | 12 |
| 2351 | Education methods specialists | 31 |
| 2352 | Special needs teachers | 78 |
| 2353 | Other language teachers | 51 |
| 2354 | Other music teachers | 49 |
| 2355 | Other arts teachers | 16 |
| 2356 | Information technology trainers | 12 |
| 2359 | Teaching professionals not elsewhere classified | 170 |
| 2400 | Business and administration professionals | 23 |
| 2410 | Finance professionals | 7 |
| 2411 | Accountants | 352 |
| 2412 | Financial and investment advisers | 68 |
| 2413 | Financial analysts | 41 |
| 2420 | Administration professionals | 6 |
| 2421 | Management and organization analysts | 120 |
| 2422 | Policy administration professionals | 83 |
| 2423 | Personnel and careers professionals | 80 |
| 2424 | Training and staff development professionals | 33 |
| 2430 | Sales, marketing and public relations professionals | 17 |
| 2431 | Advertising and marketing professionals | 92 |
| 2432 | Public relations professionals | 30 |
| 2433 | Technical and medical sales professionals (excluding ICT) | 63 |
| 2434 | Information and communications technology sales professional | 42 |
| 2500 | Information and communications technology professionals | 44 |
| 2510 | Software and applications developers and analysts | 7 |
| 2511 | Systems analysts | 70 |
| 2512 | Software developers | 122 |
| 2513 | Web and multimedia developers | 28 |
| 2514 | Applications programmers | 56 |
| 2519 | Software and applications developers and analysts not elsewh | 35 |
| 2520 | Database and network professionals | 0 |
| 2521 | Database designers and administrators | 14 |
| 2522 | Systems administrators | 48 |
| 2523 | Computer network professionals | 7 |
| 2529 | Database and network professionals not elsewhere classified | 13 |
| 2600 | Legal, social and cultural professionals | 11 |
| 2610 | Legal professionals | 22 |
| 2611 | Lawyers | 123 |
| 2612 | Judges | 8 |
| 2619 | Legal professionals not elsewhere classified | 54 |
| 2620 | Librarians, archivists and curators | 2 |
| 2621 | Archivists and curators | 16 |
| 2622 | Librarians and related information professionals | 52 |
| 2630 | Social and religious professionals | 9 |
| 2631 | Economists | 66 |
| 2632 | Sociologists, anthropologists and related professionals | 18 |
| 2633 | Philosophers, historians and political scientists | 7 |
| 2634 | Psychologists | 54 |
| 2635 | Social work and counselling professionals | 181 |
| 2636 | Religious professionals | 32 |
| 2640 | Authors, journalists and linguists | 14 |
| 2641 | Authors and related writers | 29 |
| 2642 | Journalists | 71 |
| 2643 | Translators, interpreters and other linguists | 45 |
| 2650 | Creative and performing artists | 6 |
| 2651 | Visual artists | 41 |
| 2652 | Musicians, singers and composers | 42 |
| 2653 | Dancers and choreographers | 8 |
| 2654 | Film, stage and related directors and producers | 29 |
| 2655 | Actors | 10 |
| 2656 | Announcers on radio, television and other media | 9 |
| 2659 | Creative and performing artists not elsewhere classified | 17 |
| 3000 | Technicians and associate professionals | 25 |
| 3100 | Science and engineering associate professionals | 42 |
| 3110 | Physical and engineering science technicians | 44 |
| 3111 | Chemical and physical science technicians | 30 |
| 3112 | Civil engineering technicians | 89 |
| 3113 | Electrical engineering technicians | 64 |
| 3114 | Electronics engineering technicians | 47 |
| 3115 | Mechanical engineering technicians | 89 |
| 3116 | Chemical engineering technicians | 23 |
| 3117 | Mining and metallurgical technicians | 14 |
| 3118 | Draughtspersons | 52 |
| 3119 | Physical and engineering science technicians not elsewhere c | 68 |
| 3120 | Mining, manufacturing and construction supervisors | 34 |
| 3121 | Mining supervisors | 28 |
| 3122 | Manufacturing supervisors | 248 |
| 3123 | Construction supervisors | 148 |
| 3130 | Process control technicians | 10 |
| 3131 | Power production plant operators | 8 |
| 3132 | Incinerator and water treatment plant operators | 22 |
| 3133 | Chemical processing plant controllers | 6 |
| 3134 | Petroleum and natural gas refining plant operators | 15 |
| 3135 | Metal production process controllers | 13 |
| 3139 | Process control technicians not elsewhere classified | 28 |
| 3140 | Life science technicians and related associate professionals | 7 |
| 3141 | Life science technicians (excluding medical) | 24 |
| 3142 | Agricultural technicians | 32 |
| 3143 | Forestry technicians | 2 |
| 3150 | Ship and aircraft controllers and technicians | 1 |
| 3151 | Ships' engineers | 17 |
| 3152 | Ships' deck officers and pilots | 42 |
| 3153 | Aircraft pilots and related associate professionals | 22 |
| 3154 | Air traffic controllers | 2 |
| 3155 | Air traffic safety electronics technicians | 4 |
| 3200 | Health associate professionals | 9 |
| 3210 | Medical and pharmaceutical technicians | 12 |
| 3211 | Medical imaging and therapeutic equipment technicians | 26 |
| 3212 | Medical and pathology laboratory technicians | 54 |
| 3213 | Pharmaceutical technicians and assistants | 36 |
| 3214 | Medical and dental prosthetic technicians | 28 |
| 3220 | Nursing and midwifery associate professionals | 27 |
| 3221 | Nursing associate professionals | 341 |
| 3222 | Midwifery associate professionals | 7 |
| 3230 | Traditional and complementary medicine associate professiona | 15 |
| 3240 | Veterinary technicians and assistants | 14 |
| 3250 | Other health associate professionals | 5 |
| 3251 | Dental assistants and therapists | 41 |
| 3252 | Medical records and health information technicians | 19 |
| 3253 | Community health workers | 18 |
| 3254 | Dispensing opticians | 10 |
| 3255 | Physiotherapy technicians and assistants | 34 |
| 3256 | Medical assistants | 50 |
| 3257 | Environmental and occupational health inspectors and associa | 20 |
| 3258 | Ambulance workers | 22 |
| 3259 | Health associate professionals not elsewhere classified | 20 |
| 3300 | Business and administration associate professionals | 40 |
| 3310 | Financial and mathematical associate professionals | 25 |
| 3311 | Securities and finance dealers and brokers | 33 |
| 3312 | Credit and loans officers | 93 |
| 3313 | Accounting associate professionals | 257 |
| 3314 | Statistical, mathematical and related associate professional | 13 |
| 3315 | Valuers and loss assessors | 28 |
| 3320 | Sales and purchasing agents and brokers | 71 |
| 3321 | Insurance representatives | 146 |
| 3322 | Commercial sales representatives | 306 |
| 3323 | Buyers | 104 |
| 3324 | Trade brokers | 54 |
| 3330 | Business services agents | 8 |
| 3331 | Clearing and forwarding agents | 14 |
| 3332 | Conference and event planners | 42 |
| 3333 | Employment agents and contractors | 43 |
| 3334 | Real estate agents and property managers | 109 |
| 3339 | Business services agents not elsewhere classified | 127 |
| 3340 | Administrative and specialised secretaries | 20 |
| 3341 | Office supervisors | 381 |
| 3342 | Legal secretaries | 24 |
| 3343 | Administrative and executive secretaries | 374 |
| 3344 | Medical secretaries | 65 |
| 3350 | Regulatory government associate professionals | 72 |
| 3351 | Customs and border inspectors | 21 |
| 3352 | Government tax and excise officials | 32 |
| 3353 | Government social benefits officials | 45 |
| 3354 | Government licensing officials | 41 |
| 3355 | Police inspectors and detectives | 68 |
| 3359 | Regulatory government associate professionals not elsewhere | 50 |
| 3400 | Legal, social, cultural and related associate professionals | 2 |
| 3410 | Legal, social and religious associate professionals | 0 |
| 3411 | Legal and related associate professionals | 38 |
| 3412 | Social work associate professionals | 195 |
| 3413 | Religious associate professionals | 17 |
| 3420 | Sports and fitness workers | 16 |
| 3421 | Athletes and sports players | 10 |
| 3422 | Sports coaches, instructors and officials | 50 |
| 3423 | Fitness and recreation instructors and program leaders | 41 |
| 3430 | Artistic, cultural and culinary associate professionals | 0 |
| 3431 | Photographers | 41 |
| 3432 | Interior designers and decorators | 52 |
| 3433 | Gallery, museum and library technicians | 28 |
| 3434 | Chefs | 73 |
| 3435 | Other artistic and cultural associate professionals | 35 |
| 3500 | Information and communications technicians | 1 |
| 3510 | Information and communications technology operations and use | 16 |
| 3511 | Information and communications technology operations technic | 33 |
| 3512 | Information and communications technology user support techn | 47 |
| 3513 | Computer network and systems technicians | 24 |
| 3514 | Web technicians | 9 |
| 3520 | Telecommunications and broadcasting technicians | 3 |
| 3521 | Broadcasting and audio-visual technicians | 39 |
| 3522 | Telecommunications engineering technicians | 31 |
| 4000 | Clerical support workers | 62 |
| 4100 | General and keyboard clerks | 14 |
| 4110 | General office clerks | 740 |
| 4120 | Secretaries (general) | 321 |
| 4130 | Keyboard operators | 0 |
| 4131 | Typists and word processing operators | 36 |
| 4132 | Data entry clerks | 85 |
| 4200 | Customer services clerks | 26 |
| 4210 | Tellers, money collectors and related clerks | 20 |
| 4211 | Bank tellers and related clerks | 172 |
| 4212 | Bookmakers, croupiers and related gaming workers | 25 |
| 4213 | Pawnbrokers and money-lenders | 6 |
| 4214 | Debt-collectors and related workers | 28 |
| 4220 | Client information workers | 38 |
| 4221 | Travel consultants and clerks | 49 |
| 4222 | Contact centre information clerks | 113 |
| 4223 | Telephone switchboard operators | 31 |
| 4224 | Hotel receptionists | 48 |
| 4225 | Enquiry clerks | 53 |
| 4226 | Receptionists (general) | 78 |
| 4227 | Survey and market research interviewers | 26 |
| 4229 | Client information workers not elsewhere classified | 23 |
| 4300 | Numerical and material recording clerks | 8 |
| 4310 | Numerical clerks | 21 |
| 4311 | Accounting and bookkeeping clerks | 389 |
| 4312 | Statistical, finance and insurance clerks | 73 |
| 4313 | Payroll clerks | 55 |
| 4320 | Material-recording and transport clerks | 9 |
| 4321 | Stock clerks | 251 |
| 4322 | Production clerks | 60 |
| 4323 | Transport clerks | 74 |
| 4400 | Other clerical support workers | 0 |
| 4410 | Other clerical support workers | 26 |
| 4411 | Library clerks | 39 |
| 4412 | Mail carriers and sorting clerks | 110 |
| 4413 | Coding, proof-reading and related clerks | 6 |
| 4414 | Scribes and related workers | 6 |
| 4415 | Filing and copying clerks | 25 |
| 4416 | Personnel clerks | 53 |
| 4419 | Clerical support workers not elsewhere classified | 187 |
| 5000 | Service and sales workers | 21 |
| 5100 | Personal service workers | 24 |
| 5110 | Travel attendants, conductors and guides | 1 |
| 5111 | Travel attendants and travel stewards | 28 |
| 5112 | Transport conductors | 26 |
| 5113 | Travel guides | 30 |
| 5120 | Cooks | 494 |
| 5130 | Waiters and bartenders | 32 |
| 5131 | Waiters | 370 |
| 5132 | Bartenders | 97 |
| 5140 | Hairdressers, beauticians and related workers | 30 |
| 5141 | Hairdressers | 204 |
| 5142 | Beauticians and related workers | 96 |
| 5150 | Building and housekeeping supervisors | 9 |
| 5151 | Cleaning and housekeeping supervisors in offices, hotels and | 64 |
| 5152 | Domestic housekeepers | 48 |
| 5153 | Building caretakers | 133 |
| 5160 | Other personal services workers | 17 |
| 5161 | Astrologers, fortune-tellers and related workers | 7 |
| 5162 | Companions and valets | 14 |
| 5163 | Undertakers and embalmers | 12 |
| 5164 | Pet groomers and animal care workers | 16 |
| 5165 | Driving instructors | 16 |
| 5169 | Personal services workers not elsewhere classified | 72 |
| 5200 | Sales workers | 36 |
| 5210 | Street and market salespersons | 12 |
| 5211 | Stall and market salespersons | 179 |
| 5212 | Street food salespersons | 73 |
| 5220 | Shop salespersons | 265 |
| 5221 | Shop keepers | 504 |
| 5222 | Shop supervisors | 310 |
| 5223 | Shop sales assistants | 1303 |
| 5230 | Cashiers and ticket clerks | 340 |
| 5240 | Other sales workers | 3 |
| 5241 | Fashion and other models | 3 |
| 5242 | Sales demonstrators | 47 |
| 5243 | Door to door salespersons | 10 |
| 5244 | Contact centre salespersons | 36 |
| 5245 | Service station attendants | 44 |
| 5246 | Food service counter attendants | 98 |
| 5249 | Sales workers not elsewhere classified | 77 |
| 5300 | Personal care workers | 3 |
| 5310 | Child care workers and teachers' aides | 5 |
| 5311 | Child care workers | 423 |
| 5312 | Teachers' aides | 73 |
| 5320 | Personal care workers in health services | 84 |
| 5321 | Health care assistants | 414 |
| 5322 | Home-based personal care workers | 286 |
| 5329 | Personal care workers in health services not elsewhere class | 53 |
| 5400 | Protective services workers | 7 |
| 5410 | Protective services workers | 2 |
| 5411 | Fire-fighters | 48 |
| 5412 | Police officers | 151 |
| 5413 | Prison guards | 38 |
| 5414 | Security guards | 309 |
| 5419 | Protective services workers not elsewhere classified | 110 |
| 6000 | Skilled agricultural, forestry and fishery workers | 4 |
| 6100 | Market-oriented skilled agricultural workers | 5 |
| 6110 | Market gardeners and crop growers | 0 |
| 6111 | Field crop and vegetable growers | 590 |
| 6112 | Tree and shrub crop growers | 135 |
| 6113 | Gardeners, horticultural and nursery growers | 171 |
| 6114 | Mixed crop growers | 108 |
| 6120 | Animal producers | 5 |
| 6121 | Livestock and dairy producers | 155 |
| 6122 | Poultry producers | 25 |
| 6123 | Apiarists and sericulturists | 2 |
| 6129 | Animal producers not elsewhere classified | 10 |
| 6130 | Mixed crop and animal producers | 93 |
| 6200 | Market-oriented skilled forestry, fishery and hunting worker | 1 |
| 6210 | Forestry and related workers | 57 |
| 6220 | Fishery workers, hunters and trappers | 6 |
| 6221 | Aquaculture workers | 7 |
| 6222 | Inland and coastal waters fishery workers | 36 |
| 6223 | Deep-sea fishery workers | 20 |
| 6224 | Hunters and trappers | 2 |
| 6300 | Subsistence farmers, fishers, hunters and gatherers | 116 |
| 6310 | Subsistence crop farmers | 48 |
| 6320 | Subsistence livestock farmers | 28 |
| 6330 | Subsistence mixed crop and livestock farmers | 6 |
| 6340 | Subsistence fishers, hunters, trappers and gatherers | 10 |
| 7000 | Craft and related trades workers | 107 |
| 7100 | Building and related trades workers, excluding electricians | 38 |
| 7110 | Building frame and related trades workers | 10 |
| 7111 | House builders | 126 |
| 7112 | Bricklayers and related workers | 211 |
| 7113 | Stonemasons, stone cutters, splitters and carvers | 20 |
| 7114 | Concrete placers, concrete finishers and related workers | 39 |
| 7115 | Carpenters and joiners | 285 |
| 7119 | Building frame and related trades workers not elsewhere clas | 61 |
| 7120 | Building finishers and related trades workers | 3 |
| 7121 | Roofers | 22 |
| 7122 | Floor layers and tile setters | 39 |
| 7123 | Plasterers | 33 |
| 7124 | Insulation workers | 14 |
| 7125 | Glaziers | 15 |
| 7126 | Plumbers and pipe fitters | 175 |
| 7127 | Air conditioning and refrigeration mechanics | 25 |
| 7130 | Painters, building structure cleaners and related trades wor | 6 |
| 7131 | Painters and related workers | 156 |
| 7132 | Spray painters and varnishers | 35 |
| 7133 | Building structure cleaners | 10 |
| 7200 | Metal, machinery and related trades workers | 36 |
| 7210 | Sheet and structural metal workers, moulders and welders, an | 9 |
| 7211 | Metal moulders and coremakers | 24 |
| 7212 | Welders and flamecutters | 140 |
| 7213 | Sheet-metal workers | 58 |
| 7214 | Structural-metal preparers and erectors | 67 |
| 7215 | Riggers and cable splicers | 1 |
| 7220 | Blacksmiths, toolmakers and related trades workers | 5 |
| 7221 | Blacksmiths, hammersmiths and forging press workers | 48 |
| 7222 | Toolmakers and related workers | 115 |
| 7223 | Metal working machine tool setters and operators | 137 |
| 7224 | Metal polishers, wheel grinders and tool sharpeners | 8 |
| 7230 | Machinery mechanics and repairers | 35 |
| 7231 | Motor vehicle mechanics and repairers | 354 |
| 7232 | Aircraft engine mechanics and repairers | 12 |
| 7233 | Agricultural and industrial machinery mechanics and repairer | 145 |
| 7234 | Bicycle and related repairers | 7 |
| 7300 | Handicraft and printing workers | 7 |
| 7310 | Handicraft workers | 2 |
| 7311 | Precision-instrument makers and repairers | 23 |
| 7312 | Musical instrument makers and tuners | 2 |
| 7313 | Jewellery and precious-metal workers | 21 |
| 7314 | Potters and related workers | 4 |
| 7315 | Glass makers, cutters, grinders and finishers | 12 |
| 7316 | Sign writers, decorative painters, engravers and etchers | 15 |
| 7317 | Handicraft workers in wood, basketry and related materials | 22 |
| 7318 | Handicraft workers in textile, leather and related materials | 25 |
| 7319 | Handicraft workers not elsewhere classified | 32 |
| 7320 | Printing trades workers | 7 |
| 7321 | Pre-press technicians | 8 |
| 7322 | Printers | 42 |
| 7323 | Print finishing and binding workers | 23 |
| 7400 | Electrical and electronic trades workers | 13 |
| 7410 | Electrical equipment installers and repairers | 18 |
| 7411 | Building and related electricians | 218 |
| 7412 | Electrical mechanics and fitters | 135 |
| 7413 | Electrical line installers and repairers | 39 |
| 7420 | Electronics and telecommunications installers and repairers | 4 |
| 7421 | Electronics mechanics and servicers | 56 |
| 7422 | Information and communications technology installers and ser | 47 |
| 7500 | Food processing, wood working, garment and other craft and r | 9 |
| 7510 | Food processing and related trades workers | 16 |
| 7511 | Butchers, fishmongers and related food preparers | 92 |
| 7512 | Bakers, pastry-cooks and confectionery makers | 134 |
| 7513 | Dairy-products makers | 12 |
| 7514 | Fruit, vegetable and related preservers | 7 |
| 7515 | Food and beverage tasters and graders | 54 |
| 7516 | Tobacco preparers and tobacco products makers | 0 |
| 7520 | Wood treaters, cabinet-makers and related trades workers | 8 |
| 7521 | Wood treaters | 9 |
| 7522 | Cabinet-makers and related workers | 108 |
| 7523 | Woodworking-machine tool setters and operators | 27 |
| 7530 | Garment and related trades workers | 30 |
| 7531 | Tailors, dressmakers, furriers and hatters | 153 |
| 7532 | Garment and related pattern-makers and cutters | 16 |
| 7533 | Sewing, embroidery and related workers | 147 |
| 7534 | Upholsterers and related workers | 8 |
| 7535 | Pelt dressers, tanners and fellmongers | 3 |
| 7536 | Shoemakers and related workers | 27 |
| 7540 | Other craft and related workers | 0 |
| 7541 | Underwater divers | 0 |
| 7542 | Shotfirers and blasters | 3 |
| 7543 | Product graders and testers (excluding foods and beverages) | 107 |
| 7544 | Fumigators and other pest and weed controllers | 13 |
| 7549 | Craft and related workers not elsewhere classified | 21 |
| 8000 | Plant and machine operators, and assemblers | 9 |
| 8100 | Stationary plant and machine operators | 39 |
| 8110 | Mining and mineral processing plant operators | 3 |
| 8111 | Miners and quarriers | 59 |
| 8112 | Mineral and stone processing plant operators | 17 |
| 8113 | Well drillers and borers and related workers | 17 |
| 8114 | Cement, stone and other mineral products machine operators | 20 |
| 8120 | Metal processing and finishing plant operators | 4 |
| 8121 | Metal processing plant operators | 50 |
| 8122 | Metal finishing, plating and coating machine operators | 17 |
| 8130 | Chemical and photographic products plant and machine operato | 1 |
| 8131 | Chemical products plant and machine operators | 40 |
| 8132 | Photographic products machine operators | 6 |
| 8140 | Rubber, plastic and paper products machine operators | 5 |
| 8141 | Rubber products machine operators | 12 |
| 8142 | Plastic products machine operators | 51 |
| 8143 | Paper products machine operators | 16 |
| 8150 | Textile, fur and leather products machine operators | 5 |
| 8151 | Fibre preparing, spinning and winding machine operators | 19 |
| 8152 | Weaving and knitting machine operators | 30 |
| 8153 | Sewing machine operators | 80 |
| 8154 | Bleaching, dyeing and fabric cleaning machine operators | 6 |
| 8155 | Fur and leather preparing machine operators | 10 |
| 8156 | Shoemaking and related machine operators | 20 |
| 8157 | Laundry machine operators | 18 |
| 8159 | Textile, fur and leather products machine operators not else | 15 |
| 8160 | Food and related products machine operators | 126 |
| 8170 | Wood processing and papermaking plant operators | 0 |
| 8171 | Pulp and papermaking plant operators | 14 |
| 8172 | Wood processing plant operators | 44 |
| 8180 | Other stationary plant and machine operators | 1 |
| 8181 | Glass and ceramics plant operators | 19 |
| 8182 | Steam engine and boiler operators | 22 |
| 8183 | Packing, bottling and labelling machine operators | 50 |
| 8189 | Stationary plant and machine operators not elsewhere classif | 109 |
| 8200 | Assemblers | 6 |
| 8210 | Assemblers | 16 |
| 8211 | Mechanical machinery assemblers | 75 |
| 8212 | Electrical and electronic equipment assemblers | 54 |
| 8219 | Assemblers not elsewhere classified | 78 |
| 8300 | Drivers and mobile plant operators | 42 |
| 8310 | Locomotive engine drivers and related workers | 3 |
| 8311 | Locomotive engine drivers | 40 |
| 8312 | Railway brake, signal and switch operators | 34 |
| 8320 | Car, van and motorcycle drivers | 47 |
| 8321 | Motorcycle drivers | 43 |
| 8322 | Car, taxi and van drivers | 368 |
| 8330 | Heavy truck and bus drivers | 32 |
| 8331 | Bus and tram drivers | 164 |
| 8332 | Heavy truck and lorry drivers | 443 |
| 8340 | Mobile plant operators | 14 |
| 8341 | Mobile farm and forestry plant operators | 61 |
| 8342 | Earthmoving and related plant operators | 62 |
| 8343 | Crane, hoist and related plant operators | 48 |
| 8344 | Lifting truck operators | 81 |
| 8350 | Ships' deck crews and related workers | 16 |
| 9000 | Elementary occupations | 18 |
| 9100 | Cleaners and helpers | 51 |
| 9110 | Domestic, hotel and office cleaners and helpers | 99 |
| 9111 | Domestic cleaners and helpers | 475 |
| 9112 | Cleaners and helpers in offices, hotels and other establishm | 814 |
| 9120 | Vehicle, window, laundry and other hand cleaning workers | 4 |
| 9121 | Hand launderers and pressers | 62 |
| 9122 | Vehicle cleaners | 20 |
| 9123 | Window cleaners | 1 |
| 9129 | Other cleaning workers | 45 |
| 9200 | Agricultural, forestry and fishery labourers | 9 |
| 9210 | Agricultural, forestry and fishery labourers | 35 |
| 9211 | Crop farm labourers | 299 |
| 9212 | Livestock farm labourers | 92 |
| 9213 | Mixed crop and livestock farm labourers | 97 |
| 9214 | Garden and horticultural labourers | 120 |
| 9215 | Forestry labourers | 29 |
| 9216 | Fishery and aquaculture labourers | 12 |
| 9300 | Labourers in mining, construction, manufacturing and transpo | 21 |
| 9310 | Mining and construction labourers | 10 |
| 9311 | Mining and quarrying labourers | 37 |
| 9312 | Civil engineering labourers | 53 |
| 9313 | Building construction labourers | 344 |
| 9320 | Manufacturing labourers | 81 |
| 9321 | Hand packers | 150 |
| 9329 | Manufacturing labourers not elsewhere classified | 227 |
| 9330 | Transport and storage labourers | 40 |
| 9331 | Hand and pedal vehicle drivers | 6 |
| 9332 | Drivers of animal-drawn vehicles and machinery | 2 |
| 9333 | Freight handlers | 180 |
| 9334 | Shelf fillers | 69 |
| 9400 | Food preparation assistants | 3 |
| 9410 | Food preparation assistants | 4 |
| 9411 | Fast food preparers | 31 |
| 9412 | Kitchen helpers | 181 |
| 9500 | Street and related sales and service workers | 4 |
| 9510 | Street and related service workers | 11 |
| 9520 | Street vendors (excluding food) | 38 |
| 9600 | Refuse workers and other elementary workers | 4 |
| 9610 | Refuse workers | 72 |
| 9611 | Garbage and recycling collectors | 49 |
| 9612 | Refuse sorters | 15 |
| 9613 | Sweepers and related labourers | 64 |
| 9620 | Other elementary workers | 17 |
| 9621 | Messengers, package deliverers and luggage porters | 99 |
| 9622 | Odd job persons | 152 |
| 9623 | Meter readers and vending-machine collectors | 11 |
| 9624 | Water and firewood collectors | 9 |
| 9629 | Elementary workers not elsewhere classified | 78 |
| 0 | NAP (Code 3 in WORK; NZ:Code 2-9 MAINSTAT) | 6252 |
| 9998 | Don't know, inadequately described | 444 |
| 9999 | No answer | 2499 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 39525 | 9195 | 110 | 9629 |
Valid range from 110 to 9629
MAINSTAT Main status
| Value 123273 | Frequency | |
|---|---|---|
| 1 | In paid work | 25190 |
| 2 | Unemployed and looking for a job | 3869 |
| 3 | In education | 2359 |
| 4 | Apprentice or trainee | 172 |
| 5 | Permanently sick or disabled | 1225 |
| 6 | Retired | 9341 |
| 7 | Domestic work | 4054 |
| 8 | In compulsory military service or community service | 46 |
| 9 | Other | 1275 |
| 99 | No answer; TH: NA incl. don't do anything | 1189 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47531 | 1189 | 1 | 9 |
Valid range from 1 to 9
PARTLIV Living in steady partnership
| Value 124272 | Frequency | |
|---|---|---|
| 1 | Yes, have partner; live in same household | 27137 |
| 2 | Yes, have partner; don't live in same household | 2409 |
| 3 | No partner | 15288 |
| 0 | NAV (GB, NZ) | 2913 |
| 7 | Refused | 277 |
| 9 | No answer | 696 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44834 | 3886 | 1 | 3 |
Valid range from 1 to 3
SPWORK Spouse, partner: currently, formerly or never in paid work
| Value 125271 | Frequency | |
|---|---|---|
| 1 | Currently in paid work; NZ: In paid work | 18392 |
| 2 | Currently not in paid work, paid work in the past; NZ: Not i | 8735 |
| 3 | Never had paid work | 3572 |
| 0 | NAP (C.3,7 PARTLIV; GB:C.3-6 MARITAL+no partner in HH) | 16238 |
| 7 | Refused | 6 |
| 8 | Don't know | 7 |
| 9 | No answer; NZ: NA incl. no spouse/partner | 1770 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 30699 | 18021 | 1 | 3 |
Valid range from 1 to 3
SPWRKHRS Spouse, partner: hours worked weekly
| Value 126270 | Frequency | |
|---|---|---|
| 1 | One hour | 19 |
| 89 | 89; US: 89 hours or more | 4 |
| 96 | 96 hours or more | 152 |
| 0 | NAP (Code 0, 2 or 3 in SPWORK); NAV (GB,NZ) | 30036 |
| 98 | Don't know | 483 |
| 99 | No answer | 2470 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 15731 | 32989 | 1 | 96 |
Valid range from 1 to 96
SPEMPREL Spouse, partner: employment relationship
| Value 127269 | Frequency | |
|---|---|---|
| 1 | Employee | 20703 |
| 2 | Self-employed without employees | 2750 |
| 3 | Self-employed with employees | 1076 |
| 4 | Working for own family's business | 954 |
| 5 | Self-employed with or without employees (GB,NZ) | 222 |
| 0 | NAP (C.0,3 SPWORK; GB:C.0,2,3 SPWORK; NZ:C.2-9 SPMAINST) | 20434 |
| 8 | Don't know | 15 |
| 9 | No answer; NZ: NA incl. no spouse/partner | 2566 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 25705 | 23015 | 1 | 5 |
Valid range from 1 to 5
SPWRKSUP Spouse, partner: supervise other employees
| Value 128268 | Frequency | |
|---|---|---|
| 1 | Yes | 5952 |
| 2 | No | 18321 |
| 0 | NAP (C.0,3 SPWORK; GB:C.0,2,3 SPWORK); NAV (NZ,US) | 22296 |
| 8 | Don't know | 309 |
| 9 | No answer | 1842 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 24273 | 24447 | 1 | 2 |
Valid range from 1 to 2
SPISCO08 Spouse, partner: occupation ISCO/ ILO 2008
| Value 129267 | Frequency | |
|---|---|---|
| 110 | Commissioned armed forces officers | 56 |
| 210 | Non-commissioned armed forces officers | 18 |
| 310 | Armed forces occupations, other ranks | 61 |
| 1000 | Managers | 30 |
| 1100 | Chief executives, senior officials and legislators | 0 |
| 1110 | Legislators and senior officials | 0 |
| 1111 | Legislators | 8 |
| 1112 | Senior government officials | 17 |
| 1113 | Traditional chiefs and heads of village | 26 |
| 1114 | Senior officials of special-interest organizations | 11 |
| 1120 | Managing directors and chief executives | 199 |
| 1200 | Administrative and commercial managers | 10 |
| 1210 | Business services and administration managers | 21 |
| 1211 | Finance managers | 89 |
| 1212 | Human resource managers | 43 |
| 1213 | Policy and planning managers | 18 |
| 1219 | Business services and administration managers not elsewhere | 129 |
| 1220 | Sales, marketing and development managers | 1 |
| 1221 | Sales and marketing managers | 99 |
| 1222 | Advertising and public relations managers | 13 |
| 1223 | Research and development managers | 24 |
| 1300 | Production and specialised services managers | 30 |
| 1310 | Production managers in agriculture, forestry and fisheries | 1 |
| 1311 | Agricultural and forestry production managers | 49 |
| 1312 | Aquaculture and fisheries production managers | 6 |
| 1320 | Manufacturing, mining, construction, and distribution manage | 4 |
| 1321 | Manufacturing managers | 104 |
| 1322 | Mining managers | 3 |
| 1323 | Construction managers | 57 |
| 1324 | Supply, distribution and related managers | 73 |
| 1330 | Information and communications technology service managers | 54 |
| 1340 | Professional services managers | 21 |
| 1341 | Child care services managers | 13 |
| 1342 | Health services managers | 34 |
| 1343 | Aged care services managers | 7 |
| 1344 | Social welfare managers | 7 |
| 1345 | Education managers | 73 |
| 1346 | Financial and insurance services branch managers | 35 |
| 1349 | Professional services managers not elsewhere classified | 33 |
| 1400 | Hospitality, retail and other services managers | 4 |
| 1410 | Hotel and restaurant managers | 12 |
| 1411 | Hotel managers | 23 |
| 1412 | Restaurant managers | 65 |
| 1420 | Retail and wholesale trade managers | 89 |
| 1430 | Other services managers | 3 |
| 1431 | Sports, recreation and cultural centre managers | 18 |
| 1439 | Services managers not elsewhere classified | 43 |
| 2000 | Professionals | 35 |
| 2100 | Science and engineering professionals | 41 |
| 2110 | Physical and earth science professionals | 0 |
| 2111 | Physicists and astronomers | 7 |
| 2112 | Meteorologists | 1 |
| 2113 | Chemists | 18 |
| 2114 | Geologists and geophysicists | 8 |
| 2120 | Mathematicians, actuaries and statisticians | 8 |
| 2130 | Life science professionals | 1 |
| 2131 | Biologists, botanists, zoologists and related professionals | 20 |
| 2132 | Farming, forestry and fisheries advisers | 72 |
| 2133 | Environmental protection professionals | 9 |
| 2140 | Engineering professionals (excluding electrotechnology) | 17 |
| 2141 | Industrial and production engineers | 43 |
| 2142 | Civil engineers | 75 |
| 2143 | Environmental engineers | 17 |
| 2144 | Mechanical engineers | 68 |
| 2145 | Chemical engineers | 16 |
| 2146 | Mining engineers, metallurgists and related professionals | 10 |
| 2149 | Engineering professionals not elsewhere classified | 56 |
| 2150 | Electrotechnology engineers | 2 |
| 2151 | Electrical engineers | 34 |
| 2152 | Electronics engineers | 23 |
| 2153 | Telecommunications engineers | 19 |
| 2160 | Architects, planners, surveyors and designers | 13 |
| 2161 | Building architects | 65 |
| 2162 | Landscape architects | 5 |
| 2163 | Product and garment designers | 16 |
| 2164 | Town and traffic planners | 13 |
| 2165 | Cartographers and surveyors | 19 |
| 2166 | Graphic and multimedia designers | 42 |
| 2200 | Health professionals | 9 |
| 2210 | Medical doctors | 17 |
| 2211 | Generalist medical practitioners | 66 |
| 2212 | Specialist medical practitioners | 63 |
| 2220 | Nursing and midwifery professionals | 16 |
| 2221 | Nursing professionals | 296 |
| 2222 | Midwifery professionals | 14 |
| 2230 | Traditional and complementary medicine professionals | 3 |
| 2240 | Paramedical practitioners | 3 |
| 2250 | Veterinarians | 15 |
| 2260 | Other health professionals | 0 |
| 2261 | Dentists | 27 |
| 2262 | Pharmacists | 46 |
| 2263 | Environmental and occupational health and hygiene profession | 10 |
| 2264 | Physiotherapists | 55 |
| 2265 | Dieticians and nutritionists | 9 |
| 2266 | Audiologists and speech therapists | 11 |
| 2267 | Optometrists and ophthalmic opticians | 4 |
| 2269 | Health professionals not elsewhere classified | 26 |
| 2300 | Teaching professionals | 87 |
| 2310 | University and higher education teachers | 106 |
| 2320 | Vocational education teachers | 56 |
| 2330 | Secondary education teachers | 342 |
| 2340 | Primary school and early childhood teachers | 40 |
| 2341 | Primary school teachers | 412 |
| 2342 | Early childhood educators | 195 |
| 2350 | Other teaching professionals | 11 |
| 2351 | Education methods specialists | 15 |
| 2352 | Special needs teachers | 45 |
| 2353 | Other language teachers | 17 |
| 2354 | Other music teachers | 22 |
| 2355 | Other arts teachers | 11 |
| 2356 | Information technology trainers | 3 |
| 2359 | Teaching professionals not elsewhere classified | 112 |
| 2400 | Business and administration professionals | 43 |
| 2410 | Finance professionals | 2 |
| 2411 | Accountants | 199 |
| 2412 | Financial and investment advisers | 61 |
| 2413 | Financial analysts | 18 |
| 2420 | Administration professionals | 5 |
| 2421 | Management and organization analysts | 51 |
| 2422 | Policy administration professionals | 40 |
| 2423 | Personnel and careers professionals | 43 |
| 2424 | Training and staff development professionals | 17 |
| 2430 | Sales, marketing and public relations professionals | 4 |
| 2431 | Advertising and marketing professionals | 42 |
| 2432 | Public relations professionals | 17 |
| 2433 | Technical and medical sales professionals (excluding ICT) | 41 |
| 2434 | Information and communications technology sales professional | 13 |
| 2500 | Information and communications technology professionals | 42 |
| 2510 | Software and applications developers and analysts | 4 |
| 2511 | Systems analysts | 47 |
| 2512 | Software developers | 76 |
| 2513 | Web and multimedia developers | 11 |
| 2514 | Applications programmers | 44 |
| 2519 | Software and applications developers and analysts not elsewh | 25 |
| 2520 | Database and network professionals | 0 |
| 2521 | Database designers and administrators | 9 |
| 2522 | Systems administrators | 27 |
| 2523 | Computer network professionals | 5 |
| 2529 | Database and network professionals not elsewhere classified | 9 |
| 2600 | Legal, social and cultural professionals | 11 |
| 2610 | Legal professionals | 1 |
| 2611 | Lawyers | 109 |
| 2612 | Judges | 11 |
| 2619 | Legal professionals not elsewhere classified | 34 |
| 2620 | Librarians, archivists and curators | 1 |
| 2621 | Archivists and curators | 14 |
| 2622 | Librarians and related information professionals | 29 |
| 2630 | Social and religious professionals | 3 |
| 2631 | Economists | 53 |
| 2632 | Sociologists, anthropologists and related professionals | 6 |
| 2633 | Philosophers, historians and political scientists | 6 |
| 2634 | Psychologists | 43 |
| 2635 | Social work and counselling professionals | 91 |
| 2636 | Religious professionals | 25 |
| 2640 | Authors, journalists and linguists | 3 |
| 2641 | Authors and related writers | 22 |
| 2642 | Journalists | 36 |
| 2643 | Translators, interpreters and other linguists | 19 |
| 2650 | Creative and performing artists | 1 |
| 2651 | Visual artists | 16 |
| 2652 | Musicians, singers and composers | 33 |
| 2653 | Dancers and choreographers | 7 |
| 2654 | Film, stage and related directors and producers | 14 |
| 2655 | Actors | 2 |
| 2656 | Announcers on radio, television and other media | 1 |
| 2659 | Creative and performing artists not elsewhere classified | 4 |
| 3000 | Technicians and associate professionals | 25 |
| 3100 | Science and engineering associate professionals | 29 |
| 3110 | Physical and engineering science technicians | 25 |
| 3111 | Chemical and physical science technicians | 20 |
| 3112 | Civil engineering technicians | 55 |
| 3113 | Electrical engineering technicians | 46 |
| 3114 | Electronics engineering technicians | 26 |
| 3115 | Mechanical engineering technicians | 75 |
| 3116 | Chemical engineering technicians | 11 |
| 3117 | Mining and metallurgical technicians | 7 |
| 3118 | Draughtspersons | 36 |
| 3119 | Physical and engineering science technicians not elsewhere c | 51 |
| 3120 | Mining, manufacturing and construction supervisors | 20 |
| 3121 | Mining supervisors | 6 |
| 3122 | Manufacturing supervisors | 172 |
| 3123 | Construction supervisors | 73 |
| 3130 | Process control technicians | 5 |
| 3131 | Power production plant operators | 8 |
| 3132 | Incinerator and water treatment plant operators | 14 |
| 3133 | Chemical processing plant controllers | 1 |
| 3134 | Petroleum and natural gas refining plant operators | 11 |
| 3135 | Metal production process controllers | 3 |
| 3139 | Process control technicians not elsewhere classified | 17 |
| 3140 | Life science technicians and related associate professionals | 0 |
| 3141 | Life science technicians (excluding medical) | 11 |
| 3142 | Agricultural technicians | 18 |
| 3143 | Forestry technicians | 2 |
| 3150 | Ship and aircraft controllers and technicians | 0 |
| 3151 | Ships' engineers | 19 |
| 3152 | Ships' deck officers and pilots | 28 |
| 3153 | Aircraft pilots and related associate professionals | 17 |
| 3154 | Air traffic controllers | 5 |
| 3155 | Air traffic safety electronics technicians | 3 |
| 3200 | Health associate professionals | 4 |
| 3210 | Medical and pharmaceutical technicians | 5 |
| 3211 | Medical imaging and therapeutic equipment technicians | 16 |
| 3212 | Medical and pathology laboratory technicians | 38 |
| 3213 | Pharmaceutical technicians and assistants | 26 |
| 3214 | Medical and dental prosthetic technicians | 14 |
| 3220 | Nursing and midwifery associate professionals | 12 |
| 3221 | Nursing associate professionals | 167 |
| 3222 | Midwifery associate professionals | 3 |
| 3230 | Traditional and complementary medicine associate professiona | 3 |
| 3240 | Veterinary technicians and assistants | 7 |
| 3250 | Other health associate professionals | 2 |
| 3251 | Dental assistants and therapists | 26 |
| 3252 | Medical records and health information technicians | 10 |
| 3253 | Community health workers | 18 |
| 3254 | Dispensing opticians | 6 |
| 3255 | Physiotherapy technicians and assistants | 21 |
| 3256 | Medical assistants | 35 |
| 3257 | Environmental and occupational health inspectors and associa | 15 |
| 3258 | Ambulance workers | 12 |
| 3259 | Health associate professionals not elsewhere classified | 20 |
| 3300 | Business and administration associate professionals | 19 |
| 3310 | Financial and mathematical associate professionals | 15 |
| 3311 | Securities and finance dealers and brokers | 31 |
| 3312 | Credit and loans officers | 39 |
| 3313 | Accounting associate professionals | 164 |
| 3314 | Statistical, mathematical and related associate professional | 1 |
| 3315 | Valuers and loss assessors | 11 |
| 3320 | Sales and purchasing agents and brokers | 55 |
| 3321 | Insurance representatives | 74 |
| 3322 | Commercial sales representatives | 195 |
| 3323 | Buyers | 71 |
| 3324 | Trade brokers | 32 |
| 3330 | Business services agents | 1 |
| 3331 | Clearing and forwarding agents | 13 |
| 3332 | Conference and event planners | 17 |
| 3333 | Employment agents and contractors | 16 |
| 3334 | Real estate agents and property managers | 90 |
| 3339 | Business services agents not elsewhere classified | 74 |
| 3340 | Administrative and specialised secretaries | 10 |
| 3341 | Office supervisors | 170 |
| 3342 | Legal secretaries | 12 |
| 3343 | Administrative and executive secretaries | 225 |
| 3344 | Medical secretaries | 36 |
| 3350 | Regulatory government associate professionals | 55 |
| 3351 | Customs and border inspectors | 14 |
| 3352 | Government tax and excise officials | 30 |
| 3353 | Government social benefits officials | 23 |
| 3354 | Government licensing officials | 23 |
| 3355 | Police inspectors and detectives | 38 |
| 3359 | Regulatory government associate professionals not elsewhere | 42 |
| 3400 | Legal, social, cultural and related associate professionals | 7 |
| 3410 | Legal, social and religious associate professionals | 0 |
| 3411 | Legal and related associate professionals | 25 |
| 3412 | Social work associate professionals | 81 |
| 3413 | Religious associate professionals | 11 |
| 3420 | Sports and fitness workers | 1 |
| 3421 | Athletes and sports players | 5 |
| 3422 | Sports coaches, instructors and officials | 22 |
| 3423 | Fitness and recreation instructors and program leaders | 27 |
| 3430 | Artistic, cultural and culinary associate professionals | 1 |
| 3431 | Photographers | 27 |
| 3432 | Interior designers and decorators | 30 |
| 3433 | Gallery, museum and library technicians | 7 |
| 3434 | Chefs | 38 |
| 3435 | Other artistic and cultural associate professionals | 18 |
| 3500 | Information and communications technicians | 2 |
| 3510 | Information and communications technology operations and use | 11 |
| 3511 | Information and communications technology operations technic | 18 |
| 3512 | Information and communications technology user support techn | 14 |
| 3513 | Computer network and systems technicians | 17 |
| 3514 | Web technicians | 8 |
| 3520 | Telecommunications and broadcasting technicians | 0 |
| 3521 | Broadcasting and audio-visual technicians | 13 |
| 3522 | Telecommunications engineering technicians | 10 |
| 4000 | Clerical support workers | 31 |
| 4100 | General and keyboard clerks | 5 |
| 4110 | General office clerks | 468 |
| 4120 | Secretaries (general) | 182 |
| 4130 | Keyboard operators | 0 |
| 4131 | Typists and word processing operators | 18 |
| 4132 | Data entry clerks | 24 |
| 4200 | Customer services clerks | 9 |
| 4210 | Tellers, money collectors and related clerks | 8 |
| 4211 | Bank tellers and related clerks | 88 |
| 4212 | Bookmakers, croupiers and related gaming workers | 14 |
| 4213 | Pawnbrokers and money-lenders | 2 |
| 4214 | Debt-collectors and related workers | 10 |
| 4220 | Client information workers | 12 |
| 4221 | Travel consultants and clerks | 43 |
| 4222 | Contact centre information clerks | 55 |
| 4223 | Telephone switchboard operators | 14 |
| 4224 | Hotel receptionists | 21 |
| 4225 | Enquiry clerks | 16 |
| 4226 | Receptionists (general) | 52 |
| 4227 | Survey and market research interviewers | 8 |
| 4229 | Client information workers not elsewhere classified | 11 |
| 4300 | Numerical and material recording clerks | 0 |
| 4310 | Numerical clerks | 7 |
| 4311 | Accounting and bookkeeping clerks | 227 |
| 4312 | Statistical, finance and insurance clerks | 59 |
| 4313 | Payroll clerks | 22 |
| 4320 | Material-recording and transport clerks | 7 |
| 4321 | Stock clerks | 159 |
| 4322 | Production clerks | 46 |
| 4323 | Transport clerks | 57 |
| 4400 | Other clerical support workers | 3 |
| 4410 | Other clerical support workers | 9 |
| 4411 | Library clerks | 16 |
| 4412 | Mail carriers and sorting clerks | 55 |
| 4413 | Coding, proof-reading and related clerks | 8 |
| 4414 | Scribes and related workers | 2 |
| 4415 | Filing and copying clerks | 16 |
| 4416 | Personnel clerks | 17 |
| 4419 | Clerical support workers not elsewhere classified | 80 |
| 5000 | Service and sales workers | 14 |
| 5100 | Personal service workers | 24 |
| 5110 | Travel attendants, conductors and guides | 0 |
| 5111 | Travel attendants and travel stewards | 21 |
| 5112 | Transport conductors | 15 |
| 5113 | Travel guides | 19 |
| 5120 | Cooks | 291 |
| 5130 | Waiters and bartenders | 2 |
| 5131 | Waiters | 127 |
| 5132 | Bartenders | 42 |
| 5140 | Hairdressers, beauticians and related workers | 13 |
| 5141 | Hairdressers | 119 |
| 5142 | Beauticians and related workers | 65 |
| 5150 | Building and housekeeping supervisors | 3 |
| 5151 | Cleaning and housekeeping supervisors in offices, hotels and | 43 |
| 5152 | Domestic housekeepers | 28 |
| 5153 | Building caretakers | 102 |
| 5160 | Other personal services workers | 2 |
| 5161 | Astrologers, fortune-tellers and related workers | 4 |
| 5162 | Companions and valets | 11 |
| 5163 | Undertakers and embalmers | 9 |
| 5164 | Pet groomers and animal care workers | 9 |
| 5165 | Driving instructors | 6 |
| 5169 | Personal services workers not elsewhere classified | 35 |
| 5200 | Sales workers | 18 |
| 5210 | Street and market salespersons | 10 |
| 5211 | Stall and market salespersons | 94 |
| 5212 | Street food salespersons | 38 |
| 5220 | Shop salespersons | 119 |
| 5221 | Shop keepers | 265 |
| 5222 | Shop supervisors | 162 |
| 5223 | Shop sales assistants | 796 |
| 5230 | Cashiers and ticket clerks | 145 |
| 5240 | Other sales workers | 15 |
| 5241 | Fashion and other models | 2 |
| 5242 | Sales demonstrators | 17 |
| 5243 | Door to door salespersons | 10 |
| 5244 | Contact centre salespersons | 30 |
| 5245 | Service station attendants | 21 |
| 5246 | Food service counter attendants | 32 |
| 5249 | Sales workers not elsewhere classified | 48 |
| 5300 | Personal care workers | 5 |
| 5310 | Child care workers and teachers' aides | 2 |
| 5311 | Child care workers | 227 |
| 5312 | Teachers' aides | 49 |
| 5320 | Personal care workers in health services | 46 |
| 5321 | Health care assistants | 237 |
| 5322 | Home-based personal care workers | 95 |
| 5329 | Personal care workers in health services not elsewhere class | 63 |
| 5400 | Protective services workers | 8 |
| 5410 | Protective services workers | 5 |
| 5411 | Fire-fighters | 46 |
| 5412 | Police officers | 126 |
| 5413 | Prison guards | 24 |
| 5414 | Security guards | 214 |
| 5419 | Protective services workers not elsewhere classified | 50 |
| 6000 | Skilled agricultural, forestry and fishery workers | 1 |
| 6100 | Market-oriented skilled agricultural workers | 10 |
| 6110 | Market gardeners and crop growers | 2 |
| 6111 | Field crop and vegetable growers | 398 |
| 6112 | Tree and shrub crop growers | 74 |
| 6113 | Gardeners, horticultural and nursery growers | 113 |
| 6114 | Mixed crop growers | 18 |
| 6120 | Animal producers | 1 |
| 6121 | Livestock and dairy producers | 116 |
| 6122 | Poultry producers | 5 |
| 6123 | Apiarists and sericulturists | 2 |
| 6129 | Animal producers not elsewhere classified | 3 |
| 6130 | Mixed crop and animal producers | 52 |
| 6200 | Market-oriented skilled forestry, fishery and hunting worker | 2 |
| 6210 | Forestry and related workers | 36 |
| 6220 | Fishery workers, hunters and trappers | 1 |
| 6221 | Aquaculture workers | 0 |
| 6222 | Inland and coastal waters fishery workers | 29 |
| 6223 | Deep-sea fishery workers | 19 |
| 6224 | Hunters and trappers | 0 |
| 6300 | Subsistence farmers, fishers, hunters and gatherers | 71 |
| 6310 | Subsistence crop farmers | 125 |
| 6320 | Subsistence livestock farmers | 18 |
| 6330 | Subsistence mixed crop and livestock farmers | 11 |
| 6340 | Subsistence fishers, hunters, trappers and gatherers | 9 |
| 7000 | Craft and related trades workers | 136 |
| 7100 | Building and related trades workers, excluding electricians | 20 |
| 7110 | Building frame and related trades workers | 6 |
| 7111 | House builders | 162 |
| 7112 | Bricklayers and related workers | 163 |
| 7113 | Stonemasons, stone cutters, splitters and carvers | 28 |
| 7114 | Concrete placers, concrete finishers and related workers | 19 |
| 7115 | Carpenters and joiners | 183 |
| 7119 | Building frame and related trades workers not elsewhere clas | 48 |
| 7120 | Building finishers and related trades workers | 8 |
| 7121 | Roofers | 22 |
| 7122 | Floor layers and tile setters | 30 |
| 7123 | Plasterers | 34 |
| 7124 | Insulation workers | 10 |
| 7125 | Glaziers | 11 |
| 7126 | Plumbers and pipe fitters | 133 |
| 7127 | Air conditioning and refrigeration mechanics | 22 |
| 7130 | Painters, building structure cleaners and related trades wor | 6 |
| 7131 | Painters and related workers | 119 |
| 7132 | Spray painters and varnishers | 24 |
| 7133 | Building structure cleaners | 10 |
| 7200 | Metal, machinery and related trades workers | 27 |
| 7210 | Sheet and structural metal workers, moulders and welders, an | 4 |
| 7211 | Metal moulders and coremakers | 20 |
| 7212 | Welders and flamecutters | 123 |
| 7213 | Sheet-metal workers | 34 |
| 7214 | Structural-metal preparers and erectors | 37 |
| 7215 | Riggers and cable splicers | 2 |
| 7220 | Blacksmiths, toolmakers and related trades workers | 2 |
| 7221 | Blacksmiths, hammersmiths and forging press workers | 21 |
| 7222 | Toolmakers and related workers | 68 |
| 7223 | Metal working machine tool setters and operators | 85 |
| 7224 | Metal polishers, wheel grinders and tool sharpeners | 7 |
| 7230 | Machinery mechanics and repairers | 32 |
| 7231 | Motor vehicle mechanics and repairers | 282 |
| 7232 | Aircraft engine mechanics and repairers | 15 |
| 7233 | Agricultural and industrial machinery mechanics and repairer | 85 |
| 7234 | Bicycle and related repairers | 4 |
| 7300 | Handicraft and printing workers | 1 |
| 7310 | Handicraft workers | 2 |
| 7311 | Precision-instrument makers and repairers | 19 |
| 7312 | Musical instrument makers and tuners | 5 |
| 7313 | Jewellery and precious-metal workers | 21 |
| 7314 | Potters and related workers | 3 |
| 7315 | Glass makers, cutters, grinders and finishers | 6 |
| 7316 | Sign writers, decorative painters, engravers and etchers | 8 |
| 7317 | Handicraft workers in wood, basketry and related materials | 17 |
| 7318 | Handicraft workers in textile, leather and related materials | 16 |
| 7319 | Handicraft workers not elsewhere classified | 19 |
| 7320 | Printing trades workers | 5 |
| 7321 | Pre-press technicians | 9 |
| 7322 | Printers | 28 |
| 7323 | Print finishing and binding workers | 12 |
| 7400 | Electrical and electronic trades workers | 19 |
| 7410 | Electrical equipment installers and repairers | 4 |
| 7411 | Building and related electricians | 150 |
| 7412 | Electrical mechanics and fitters | 71 |
| 7413 | Electrical line installers and repairers | 42 |
| 7420 | Electronics and telecommunications installers and repairers | 2 |
| 7421 | Electronics mechanics and servicers | 49 |
| 7422 | Information and communications technology installers and ser | 33 |
| 7500 | Food processing, wood working, garment and other craft and r | 4 |
| 7510 | Food processing and related trades workers | 11 |
| 7511 | Butchers, fishmongers and related food preparers | 71 |
| 7512 | Bakers, pastry-cooks and confectionery makers | 92 |
| 7513 | Dairy-products makers | 2 |
| 7514 | Fruit, vegetable and related preservers | 5 |
| 7515 | Food and beverage tasters and graders | 18 |
| 7516 | Tobacco preparers and tobacco products makers | 0 |
| 7520 | Wood treaters, cabinet-makers and related trades workers | 2 |
| 7521 | Wood treaters | 8 |
| 7522 | Cabinet-makers and related workers | 71 |
| 7523 | Woodworking-machine tool setters and operators | 16 |
| 7530 | Garment and related trades workers | 8 |
| 7531 | Tailors, dressmakers, furriers and hatters | 82 |
| 7532 | Garment and related pattern-makers and cutters | 5 |
| 7533 | Sewing, embroidery and related workers | 63 |
| 7534 | Upholsterers and related workers | 10 |
| 7535 | Pelt dressers, tanners and fellmongers | 3 |
| 7536 | Shoemakers and related workers | 13 |
| 7540 | Other craft and related workers | 0 |
| 7541 | Underwater divers | 4 |
| 7542 | Shotfirers and blasters | 3 |
| 7543 | Product graders and testers (excluding foods and beverages) | 37 |
| 7544 | Fumigators and other pest and weed controllers | 6 |
| 7549 | Craft and related workers not elsewhere classified | 20 |
| 8000 | Plant and machine operators, and assemblers | 12 |
| 8100 | Stationary plant and machine operators | 23 |
| 8110 | Mining and mineral processing plant operators | 1 |
| 8111 | Miners and quarriers | 79 |
| 8112 | Mineral and stone processing plant operators | 2 |
| 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 | 3 |
| 8121 | Metal processing plant operators | 32 |
| 8122 | Metal finishing, plating and coating machine operators | 32 |
| 8130 | Chemical and photographic products plant and machine operato | 0 |
| 8131 | Chemical products plant and machine operators | 21 |
| 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 | 33 |
| 8143 | Paper products machine operators | 6 |
| 8150 | Textile, fur and leather products machine operators | 2 |
| 8151 | Fibre preparing, spinning and winding machine operators | 12 |
| 8152 | Weaving and knitting machine operators | 15 |
| 8153 | Sewing machine operators | 32 |
| 8154 | Bleaching, dyeing and fabric cleaning machine operators | 0 |
| 8155 | Fur and leather preparing machine operators | 0 |
| 8156 | Shoemaking and related machine operators | 7 |
| 8157 | Laundry machine operators | 22 |
| 8159 | Textile, fur and leather products machine operators not else | 8 |
| 8160 | Food and related products machine operators | 49 |
| 8170 | Wood processing and papermaking plant operators | 0 |
| 8171 | Pulp and papermaking plant operators | 11 |
| 8172 | Wood processing plant operators | 19 |
| 8180 | Other stationary plant and machine operators | 2 |
| 8181 | Glass and ceramics plant operators | 10 |
| 8182 | Steam engine and boiler operators | 14 |
| 8183 | Packing, bottling and labelling machine operators | 18 |
| 8189 | Stationary plant and machine operators not elsewhere classif | 88 |
| 8200 | Assemblers | 0 |
| 8210 | Assemblers | 5 |
| 8211 | Mechanical machinery assemblers | 61 |
| 8212 | Electrical and electronic equipment assemblers | 52 |
| 8219 | Assemblers not elsewhere classified | 31 |
| 8300 | Drivers and mobile plant operators | 35 |
| 8310 | Locomotive engine drivers and related workers | 0 |
| 8311 | Locomotive engine drivers | 28 |
| 8312 | Railway brake, signal and switch operators | 19 |
| 8320 | Car, van and motorcycle drivers | 48 |
| 8321 | Motorcycle drivers | 86 |
| 8322 | Car, taxi and van drivers | 284 |
| 8330 | Heavy truck and bus drivers | 22 |
| 8331 | Bus and tram drivers | 119 |
| 8332 | Heavy truck and lorry drivers | 406 |
| 8340 | Mobile plant operators | 10 |
| 8341 | Mobile farm and forestry plant operators | 50 |
| 8342 | Earthmoving and related plant operators | 49 |
| 8343 | Crane, hoist and related plant operators | 42 |
| 8344 | Lifting truck operators | 59 |
| 8350 | Ships' deck crews and related workers | 26 |
| 9000 | Elementary occupations | 10 |
| 9100 | Cleaners and helpers | 39 |
| 9110 | Domestic, hotel and office cleaners and helpers | 49 |
| 9111 | Domestic cleaners and helpers | 204 |
| 9112 | Cleaners and helpers in offices, hotels and other establishm | 328 |
| 9120 | Vehicle, window, laundry and other hand cleaning workers | 3 |
| 9121 | Hand launderers and pressers | 22 |
| 9122 | Vehicle cleaners | 8 |
| 9123 | Window cleaners | 0 |
| 9129 | Other cleaning workers | 12 |
| 9200 | Agricultural, forestry and fishery labourers | 8 |
| 9210 | Agricultural, forestry and fishery labourers | 20 |
| 9211 | Crop farm labourers | 159 |
| 9212 | Livestock farm labourers | 32 |
| 9213 | Mixed crop and livestock farm labourers | 65 |
| 9214 | Garden and horticultural labourers | 71 |
| 9215 | Forestry labourers | 16 |
| 9216 | Fishery and aquaculture labourers | 3 |
| 9300 | Labourers in mining, construction, manufacturing and transpo | 70 |
| 9310 | Mining and construction labourers | 3 |
| 9311 | Mining and quarrying labourers | 18 |
| 9312 | Civil engineering labourers | 40 |
| 9313 | Building construction labourers | 191 |
| 9320 | Manufacturing labourers | 42 |
| 9321 | Hand packers | 53 |
| 9329 | Manufacturing labourers not elsewhere classified | 134 |
| 9330 | Transport and storage labourers | 26 |
| 9331 | Hand and pedal vehicle drivers | 9 |
| 9332 | Drivers of animal-drawn vehicles and machinery | 1 |
| 9333 | Freight handlers | 116 |
| 9334 | Shelf fillers | 21 |
| 9400 | Food preparation assistants | 3 |
| 9410 | Food preparation assistants | 7 |
| 9411 | Fast food preparers | 27 |
| 9412 | Kitchen helpers | 84 |
| 9500 | Street and related sales and service workers | 1 |
| 9510 | Street and related service workers | 5 |
| 9520 | Street vendors (excluding food) | 21 |
| 9600 | Refuse workers and other elementary workers | 7 |
| 9610 | Refuse workers | 9 |
| 9611 | Garbage and recycling collectors | 26 |
| 9612 | Refuse sorters | 8 |
| 9613 | Sweepers and related labourers | 26 |
| 9620 | Other elementary workers | 12 |
| 9621 | Messengers, package deliverers and luggage porters | 43 |
| 9622 | Odd job persons | 78 |
| 9623 | Meter readers and vending-machine collectors | 3 |
| 9624 | Water and firewood collectors | 7 |
| 9629 | Elementary workers not elsewhere classified | 92 |
| 0 | NAP (C.0,3 SPWORK; DE,GB: C.0,2,3 SPWORK; NZ: C.2-9 SPMAINST | 20823 |
| 9998 | Don't know, inadequately described | 466 |
| 9999 | No answer; NZ: NA incl. no spouse/partner | 3580 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 23851 | 24869 | 110 | 9629 |
Valid range from 110 to 9629
SPMAINST Spouse, partner: main status
| Value 130266 | Frequency | |
|---|---|---|
| 1 | In paid work | 17943 |
| 2 | Unemployed and looking for a job | 1630 |
| 3 | In education | 538 |
| 4 | Apprentice or trainee | 86 |
| 5 | Permanently sick or disabled | 572 |
| 6 | Retired | 5428 |
| 7 | Domestic work | 3314 |
| 8 | In compulsory military service or community service | 17 |
| 9 | Other | 703 |
| 0 | NAP (C.3,7 PARTLIV; GB:C.3-6 MARITAL+no partner in HH) | 16225 |
| 99 | No answer; NZ: NA incl. no spouse/partner; TH: NA incl. does | 2264 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 30231 | 18489 | 1 | 9 |
Valid range from 1 to 9
UNION Trade union membership
| Value 131265 | Frequency | |
|---|---|---|
| 1 | Yes, currently; US: Yes, belong | 7690 |
| 2 | Yes, previously, but not currently | 9026 |
| 3 | No, never; US: No, don't belong | 27960 |
| 0 | NAP (KR: C.2,3 WORK/ C.1 WORK & C.2-4 EMPREL) | 668 |
| 7 | Refused | 185 |
| 8 | Don't know | 11 |
| 9 | No answer | 3180 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44676 | 4044 | 1 | 3 |
Valid range from 1 to 3
AU_RELIG Country specific religious affiliation or denomination: Australia
| Value 132264 | Frequency | |
|---|---|---|
| 0 | No religion | 470 |
| 1 | Catholic | 266 |
| 2 | Protestant | 60 |
| 3 | Anglican/ Church of England | 202 |
| 4 | Uniting Church/ Methodist | 76 |
| 5 | Pentecostal | 19 |
| 6 | Orthodox | 15 |
| 7 | Other Christian | 61 |
| 8 | Jewish | 7 |
| 9 | Islamic | 9 |
| 10 | Buddhist | 17 |
| 11 | Hindu | 8 |
| 12 | Other Asian religions | 1 |
| 13 | Other religions | 13 |
| 990 | NAP, other countries | 47453 |
| 999 | No answer | 43 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1224 | 47496 |
Valid range from 0 to 13
BE_RELIG Country specific religious affiliation or denomination: Belgium
| Value 133263 | Frequency | |
|---|---|---|
| 0 | No religion | 779 |
| 1 | Roman Catholic | 571 |
| 2 | Protestant | 20 |
| 4 | Other Christian groups | 346 |
| 5 | Jewish | 2 |
| 6 | Islamic | 111 |
| 10 | Other religions | 44 |
| 990 | NAP, other countries | 46768 |
| 999 | No answer | 79 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1873 | 46847 |
Valid range from 0 to 10
CH_RELIG Country specific religious affiliation or denomination: Switzerland
| Value 134262 | Frequency | |
|---|---|---|
| 0 | No religion | 309 |
| 100 | Roman Catholic | 372 |
| 200 | Protestant | 244 |
| 290 | Other Protestant (no specific religion mentioned) | 47 |
| 300 | Orthodox | 21 |
| 400 | Other Christian religions | 10 |
| 500 | Jewish | 2 |
| 600 | Islam | 43 |
| 700 | Buddhism | 2 |
| 800 | Hinduism | 3 |
| 970 | Other non-Christian religions | 2 |
| 990 | NAP, other countries | 47654 |
| 997 | Refused | 2 |
| 999 | No answer | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1055 | 47665 | 0 | 970 |
Valid range from 0 to 970
CL_RELIG Country specific religious affiliation or denomination: Chile
| Value 135261 | Frequency | |
|---|---|---|
| 0 | None | 204 |
| 1 | Catholic | 844 |
| 2 | Evangelical | 236 |
| 3 | Jehovah's Witnesses | 7 |
| 4 | Jews | 1 |
| 5 | Mormons | 8 |
| 6 | Muslim | 1 |
| 7 | Orthodox | 0 |
| 8 | Other | 13 |
| 10 | Atheist | 14 |
| 11 | Agnostic | 20 |
| 990 | NAP, other countries | 47304 |
| 999 | No answer | 68 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1348 | 47372 |
Valid range from 0 to 11
CZ_RELIG Country specific religious affiliation or denomination: Czech Republic
| Value 136260 | Frequency | |
|---|---|---|
| 0 | No religion | 840 |
| 1 | Roman Catholic | 383 |
| 2 | Czech-Brethren Evangelical Church | 35 |
| 3 | Czechoslovak Hussite | 17 |
| 4 | Other Christians | 4 |
| 5 | Other Non-Christians | 5 |
| 990 | NAP, other countries | 47320 |
| 997 | Refused | 87 |
| 999 | No answer | 29 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1284 | 47436 |
Valid range from 0 to 5
DE_RELIG Country specific religious affiliation or denomination: Germany
| Value 137259 | Frequency | |
|---|---|---|
| 0 | No religion | 703 |
| 1 | Roman Catholic | 415 |
| 2 | German Protestant Church | 456 |
| 3 | Protestant Free Church | 29 |
| 4 | Orthodox | 27 |
| 5 | Other Christian denomination | 17 |
| 6 | Islamic religion | 31 |
| 7 | Jewish religion | 1 |
| 8 | Buddhist religion | 4 |
| 9 | Hindu religion | 2 |
| 10 | Other non-Christian religion | 3 |
| 990 | NAP, other countries | 47031 |
| 997 | Refused | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1688 | 47032 |
Valid range from 0 to 10
DK_RELIG Country specific religious affiliation or denomination: Denmark
| Value 138258 | 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 | 47582 |
| 998 | Don't know | 24 |
| 999 | No answer | 85 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1029 | 47691 | 0 | 960 |
Valid range from 0 to 960
ES_RELIG Country specific religious affiliation or denomination: Spain
| Value 139257 | 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 | 46886 |
| 999 | No answer | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1815 | 46905 | 0 | 960 |
Valid range from 0 to 960
FI_RELIG Country specific religious affiliation or denomination: Finland
| Value 140256 | Frequency | |
|---|---|---|
| 0 | No religion | 296 |
| 1 | The Evangelical Lutheran Church of Finland | 811 |
| 2 | Finnish Orthodox Church | 21 |
| 3 | Catholic Church of Finland | 5 |
| 4 | Other Christian Church or denomination | 19 |
| 5 | Jewish | 1 |
| 6 | Islam/ Muslim | 8 |
| 7 | Buddhist | 3 |
| 8 | Hindu | 1 |
| 10 | Other religious denomination | 5 |
| 990 | NAP, other countries | 47534 |
| 999 | No answer | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1170 | 47550 |
Valid range from 0 to 10
FR_RELIG Country specific religious affiliation or denomination: France
| Value 141255 | Frequency | |
|---|---|---|
| 0 | No religion | 644 |
| 1 | Catholic | 734 |
| 2 | Protestant | 24 |
| 3 | Orthodox | 8 |
| 4 | Other Christian | 8 |
| 5 | Jewish | 7 |
| 6 | Islamic | 32 |
| 7 | Buddhist | 8 |
| 8 | Hindu | 0 |
| 9 | Other Asian religions | 1 |
| 10 | Other religions | 4 |
| 990 | NAP, other countries | 47219 |
| 999 | No answer | 31 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1470 | 47250 |
Valid range from 0 to 10
GB_RELIG Country specific religious affiliation or denomination: Great Britain (GB-GBN)
| Value 142254 | Frequency | |
|---|---|---|
| 0 | No religion | 805 |
| 2 | Christian - no denomination | 182 |
| 3 | Roman Catholic | 114 |
| 4 | Church of England/ Anglican | 308 |
| 5 | Baptist | 10 |
| 6 | Methodist | 28 |
| 7 | Presbyterian/ Church of Scotland | 30 |
| 8 | Other Christian | 2 |
| 9 | Hindu | 14 |
| 10 | Jewish | 5 |
| 11 | Islam/ Muslim | 26 |
| 12 | Sikh | 8 |
| 13 | Buddhist | 5 |
| 14 | Other non-Christian | 12 |
| 23 | United Reform Church (URC)/ Congregational | 2 |
| 27 | Other Protestant | 11 |
| 990 | NAP, other countries | 47157 |
| 997 | Refused | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1562 | 47158 |
Valid range from 0 to 27
GE_RELIG Country specific religious affiliation or denomination: Georgia
| Value 143253 | Frequency | |
|---|---|---|
| 0 | No religion | 17 |
| 1 | Orthodox | 1263 |
| 2 | Grigorian | 44 |
| 3 | Catholic | 4 |
| 4 | Protestant | 5 |
| 5 | Other Christians | 19 |
| 6 | Judaism | 2 |
| 7 | Muslim | 131 |
| 8 | Buddhist | 0 |
| 11 | Other religions | 2 |
| 990 | NAP, other countries | 47233 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1487 | 47233 | 0 | 11 |
Valid range from 0 to 11
HR_RELIG Country specific religious affiliation or denomination: Croatia
| Value 144252 | Frequency | |
|---|---|---|
| 0 | No religion | 85 |
| 1 | Roman Catholic | 868 |
| 2 | Christian Orthodox | 38 |
| 3 | Islamic | 6 |
| 6 | Other religion | 12 |
| 990 | NAP, other countries | 47694 |
| 997 | Refused | 11 |
| 999 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1009 | 47711 | 0 | 6 |
Valid range from 0 to 6
HU_RELIG Country specific religious affiliation or denomination: Hungary
| Value 145251 | Frequency | |
|---|---|---|
| 0 | No religion | 115 |
| 1 | Calvinist | 180 |
| 2 | Lutheran | 37 |
| 3 | Unitarian | 3 |
| 4 | Baptist | 4 |
| 5 | Methodist | 0 |
| 7 | Other Protestant | 0 |
| 8 | Roman Catholic | 566 |
| 9 | Greek Catholic | 40 |
| 10 | Jewish | 1 |
| 12 | Eastern Orthodox | 0 |
| 14 | Other non-Christian | 19 |
| 15 | Other Christian | 3 |
| 990 | NAP, other countries | 47720 |
| 999 | No answer | 32 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 968 | 47752 |
Valid range from 0 to 15
IL_RELIG Country specific religious affiliation or denomination: Israel
| Value 146250 | 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 | 47472 |
| 997 | Refused | 6 |
| 999 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1238 | 47482 | 0 | 11 |
Valid range from 0 to 11
IN_RELIG Country specific religious affiliation or denomination: India
| Value 147249 | Frequency | |
|---|---|---|
| 0 | No religion | 1 |
| 1 | Catholic | 3 |
| 2 | Protestant | 2 |
| 3 | Orthodox | 1 |
| 4 | Other Christian | 47 |
| 6 | Islamic | 214 |
| 7 | Buddhist | 10 |
| 8 | Hindu | 1165 |
| 9 | Other Asian Religions | 54 |
| 990 | NAP, other countries | 47212 |
| 999 | No answer | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1497 | 47223 |
Valid range from 0 to 9
IS_RELIG Country specific religious affiliation or denomination: Iceland
| Value 148248 | Frequency | |
|---|---|---|
| 0 | No religion | 218 |
| 1 | Icelandic National Church - the Evangelical Lutheran Church | 855 |
| 2 | Catholic | 31 |
| 3 | Protestant, but does not belong to the Iceland National Chur | 36 |
| 4 | Orthodox | 6 |
| 5 | Other Christian | 19 |
| 6 | Jewish | 0 |
| 7 | Islamic | 4 |
| 8 | Buddhist | 4 |
| 9 | Hindu | 1 |
| 10 | Other Asian religions | 0 |
| 11 | Asatru/Paganism (belief in the old nordic gods) | 15 |
| 12 | Other religions | 12 |
| 990 | NAP, other countries | 47398 |
| 999 | No answer | 121 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1201 | 47519 |
Valid range from 0 to 12
JP_RELIG Country specific religious affiliation or denomination: Japan
| Value 149247 | Frequency | |
|---|---|---|
| 0 | No religion | 996 |
| 4 | Other Christian | 28 |
| 7 | Buddhist | 514 |
| 10 | Other Religions | 9 |
| 11 | Shintoism | 35 |
| 990 | NAP, other countries | 47109 |
| 999 | No answer | 29 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1582 | 47138 |
Valid range from 0 to 11
KR_RELIG Country specific religious affiliation or denomination: Korea (South)
| Value 150246 | Frequency | |
|---|---|---|
| 0 | No religion | 478 |
| 1 | Catholic | 97 |
| 2 | Protestant | 219 |
| 7 | Buddhist | 246 |
| 10 | Other Religions | 10 |
| 990 | NAP, other countries | 47669 |
| 999 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1050 | 47670 |
Valid range from 0 to 10
LT_RELIG Country specific religious affiliation or denomination: Lithuania
| Value 151245 | Frequency | |
|---|---|---|
| 0 | No religion | 106 |
| 1 | Catholic | 816 |
| 2 | Protestant | 9 |
| 3 | Orthodox | 10 |
| 4 | Other Christian | 34 |
| 5 | Jewish | 0 |
| 6 | Islamic | 1 |
| 7 | Buddhist | 1 |
| 9 | Other Asian Religions | 2 |
| 10 | Other religions | 2 |
| 990 | NAP, other countries | 47714 |
| 997 | Refused | 25 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 981 | 47739 |
Valid range from 0 to 10
LV_RELIG Country specific religious affiliation or denomination: Latvia
| Value 152244 | Frequency | |
|---|---|---|
| 0 | No religion | 353 |
| 1 | Roman Catholic | 194 |
| 2 | Lutheran | 186 |
| 3 | Other Protestant | 4 |
| 4 | Baptist | 5 |
| 5 | Russian Orthodox | 162 |
| 6 | Old Believers | 56 |
| 7 | Other Christian Religions | 6 |
| 8 | Jewish | 0 |
| 9 | Muslim | 3 |
| 10 | Buddhism | 1 |
| 11 | Hinduism | 1 |
| 12 | Other Asian religions | 0 |
| 13 | Other religion | 2 |
| 990 | NAP, other countries | 47718 |
| 997 | Refused to answer | 8 |
| 998 | Cannot say, don't know | 21 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 973 | 47747 | 0 | 13 |
Valid range from 0 to 13
NO_RELIG Country specific religious affiliation or denomination: Norway
| Value 153243 | Frequency | |
|---|---|---|
| 0 | No denomination or life stance organisation | 242 |
| 1 | Church of Norway (State Church) | 821 |
| 2 | Pentecostal | 9 |
| 3 | Other Protestant Denomination | 25 |
| 4 | Roman Catholic | 20 |
| 5 | Orthodox (Greek, Russian, others) | 8 |
| 6 | Other Christian Denomination | 14 |
| 7 | Jewish | 1 |
| 8 | Islam | 15 |
| 9 | Buddhism | 6 |
| 10 | Hinduism | 0 |
| 11 | Other Eastern religion | 0 |
| 12 | Other religion | 4 |
| 13 | Other life stance organisation, for example the Norwegian Hu | 43 |
| 990 | NAP, other countries | 47460 |
| 999 | No answer | 52 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1208 | 47512 |
Valid range from 0 to 13
NZ_RELIG Country specific religious affiliation or denomination: New Zealand
| Value 154242 | Frequency | |
|---|---|---|
| 0 | No religion | 592 |
| 1 | Anglican | 196 |
| 2 | Catholic | 155 |
| 3 | Presbyterian | 110 |
| 4 | Methodist | 38 |
| 5 | Baptist | 47 |
| 6 | Ratana | 12 |
| 7 | Ringatu | 7 |
| 8 | Other Christian | 104 |
| 9 | Buddhist | 12 |
| 10 | Hindu | 17 |
| 11 | Muslim | 9 |
| 12 | Jewish | 1 |
| 13 | Other religions | 23 |
| 990 | NAP, other countries | 47370 |
| 999 | No answer | 27 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1323 | 47397 |
Valid range from 0 to 13
PH_RELIG Country specific religious affiliation or denomination: Philippines
| Value 155241 | 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 |
| 10 | Baptist | 17 |
| 11 | Church of Jesus Christ and the Latter Day Saints (Mormon) | 4 |
| 12 | Seventh Day Adventist | 6 |
| 13 | Methodist | 1 |
| 16 | Jehovah's Witnesses | 3 |
| 18 | Dating Daan | 1 |
| 20 | Anglican | 12 |
| 23 | Church of Christ | 4 |
| 24 | Christian Victory | 1 |
| 27 | Assembly of God | 5 |
| 29 | One Way | 2 |
| 31 | Pentecostal | 7 |
| 32 | Church of God | 2 |
| 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 | 47520 |
| 997 | Refused | 1 |
| 999 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1197 | 47523 | 0 | 48 |
Valid range from 0 to 48
RU_RELIG Country specific religious affiliation or denomination: Russia
| Value 156240 | Frequency | |
|---|---|---|
| 0 | No religion | 141 |
| 1 | Russian Orthodox | 1204 |
| 2 | Roman Catholic | 6 |
| 3 | Protestant | 1 |
| 4 | Jewish | 0 |
| 5 | Islam | 101 |
| 6 | Buddhism | 6 |
| 7 | Hinduism | 1 |
| 8 | Other religions | 4 |
| 10 | Atheist | 75 |
| 990 | NAP, other countries | 47144 |
| 997 | Refused | 20 |
| 999 | No answer | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1539 | 47181 |
Valid range from 0 to 10
SE_RELIG Country specific religious affiliation or denomination: Sweden
| Value 157239 | Frequency | |
|---|---|---|
| 0 | No religion | 321 |
| 1 | Church of Sweden | 742 |
| 2 | Roman Catholic | 8 |
| 3 | Christian Orthodox | 6 |
| 4 | Christian free-church | 32 |
| 5 | Other Christian church/ community | 4 |
| 6 | Jewish | 0 |
| 7 | Islamic | 12 |
| 8 | Buddhists | 0 |
| 9 | Hindu | 0 |
| 10 | Other religion | 3 |
| 990 | NAP, other countries | 47580 |
| 999 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1128 | 47592 |
Valid range from 0 to 10
SI_RELIG Country specific religious affiliation or denomination: Slovenia
| Value 158238 | Frequency | |
|---|---|---|
| 0 | No religion | 350 |
| 1 | Roman Catholic | 635 |
| 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 | 47696 |
| 997 | Refused | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1021 | 47699 | 0 | 10 |
Valid range from 0 to 10
SK_RELIG Country specific religious affiliation or denomination: Slovakia
| Value 159237 | Frequency | |
|---|---|---|
| 0 | No religion | 206 |
| 1 | Roman Catholic | 705 |
| 2 | Evangelical Lutheran | 105 |
| 3 | Greek Catholic | 26 |
| 4 | Reformed Calvinist | 15 |
| 5 | Christian Orthodox | 3 |
| 6 | Jehovah's Witnesses | 1 |
| 7 | Other Christian | 0 |
| 9 | Other Non-Christian | 3 |
| 990 | NAP, other countries | 47570 |
| 999 | No answer | 86 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1064 | 47656 | 0 | 9 |
Valid range from 0 to 9
SR_RELIG Country specific religious affiliation or denomination: Suriname
| Value 160236 | Frequency | |
|---|---|---|
| 0 | No religion | 117 |
| 1 | Roman Catholic | 271 |
| 2 | Protestant: Moravian | 130 |
| 3 | Protestant: Dutch Reform | 6 |
| 4 | Protestant: Pentecostal | 131 |
| 5 | Russian/ Greek Orthodox | 0 |
| 6 | Other Christian | 47 |
| 7 | Jewish | 1 |
| 8 | Islamic | 11 |
| 9 | Islamic: East prayer | 68 |
| 10 | Islamic: West prayer | 34 |
| 11 | Buddhist | 5 |
| 12 | Hindu | 1 |
| 13 | Hindu: Sanathan Dharma | 245 |
| 14 | Hindu: Arya Samaj | 56 |
| 15 | Javanism | 22 |
| 16 | Traditional religion | 10 |
| 17 | Other religion | 10 |
| 990 | NAP, other countries | 47447 |
| 997 | Refused | 28 |
| 999 | No answer | 80 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1165 | 47555 |
Valid range from 0 to 17
TH_RELIG Country specific religious affiliation or denomination: Thailand
| Value 161235 | Frequency | |
|---|---|---|
| 0 | No religion | 4 |
| 1 | Catholic | 7 |
| 2 | Protestant | 6 |
| 3 | Orthodox | 1 |
| 4 | Other Christian | 1 |
| 6 | Islamic | 97 |
| 7 | Buddhist | 1356 |
| 990 | NAP, other countries | 47245 |
| 999 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1472 | 47248 | 0 | 7 |
Valid range from 0 to 7
TR_RELIG Country specific religious affiliation or denomination: Turkey
| Value 162234 | Frequency | |
|---|---|---|
| 0 | No religion | 15 |
| 100 | Roman Catholic | 0 |
| 200 | Protestant | 0 |
| 300 | Orthodox, Eastern Orthodox | 1 |
| 400 | Other Christian Groups | 0 |
| 500 | Jewish | 2 |
| 630 | Sunni | 1105 |
| 660 | Other Muslim Religions | 331 |
| 990 | NAP, other countries | 47185 |
| 999 | No answer | 81 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1454 | 47266 |
Valid range from 0 to 660
TW_RELIG Country specific religious affiliation or denomination: Taiwan
| Value 163233 | Frequency | |
|---|---|---|
| 0 | No religion | 309 |
| 1 | Buddhism | 428 |
| 2 | Taoism | 302 |
| 3 | Folk religion | 769 |
| 4 | Yiguan Dao | 32 |
| 5 | Islam | 1 |
| 6 | Catholicism | 17 |
| 7 | Protestant Christianity | 104 |
| 8 | Other | 4 |
| 990 | NAP, other countries | 46754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1966 | 46754 |
Valid range from 0 to 8
US_RELIG Country specific religious affiliation or denomination: United States
| Value 164232 | Frequency | |
|---|---|---|
| 0 | No religion, none | 289 |
| 1 | Protestant | 663 |
| 2 | Catholic | 327 |
| 3 | Jewish | 25 |
| 5 | Other | 18 |
| 6 | Buddhism | 8 |
| 7 | Hinduism | 9 |
| 8 | Other Eastern religions | 2 |
| 9 | Moslem/ Islam | 9 |
| 10 | Orthodox-Christian | 4 |
| 11 | Christian | 23 |
| 12 | Native American | 2 |
| 13 | Inter- or Non-denominational | 3 |
| 990 | NAP, other countries | 47330 |
| 999 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1382 | 47338 |
Valid range from 0 to 13
VE_RELIG Country specific religious affiliation or denomination: Venezuela
| Value 165231 | Frequency | |
|---|---|---|
| 0 | No religion | 43 |
| 1 | Catholic | 768 |
| 2 | Protestant | 13 |
| 3 | Orthodox | 39 |
| 4 | Other Christian | 115 |
| 5 | Jewish | 1 |
| 6 | Islamic | 3 |
| 7 | Buddhist | 4 |
| 8 | Hindu | 1 |
| 9 | Other Asian Religions | 0 |
| 10 | Other Religions | 52 |
| 990 | NAP, other countries | 47675 |
| 999 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1039 | 47681 |
Valid range from 0 to 10
ZA_RELIG Country specific religious affiliation or denomination: South Africa
| Value 166230 | Frequency | |
|---|---|---|
| 0 | No religion | 449 |
| 1 | Christian without specification | 594 |
| 2 | African Evangelical Church | 30 |
| 3 | Anglican | 64 |
| 4 | Assemblies of God | 29 |
| 5 | Apostle Twelve | 135 |
| 6 | Baptist | 35 |
| 7 | Dutch Reformed | 101 |
| 8 | Full Gospel Church of God | 83 |
| 9 | Faith Mission | 24 |
| 10 | Church of God and Saints of Christ | 21 |
| 11 | Jehovah's Witnesses | 18 |
| 12 | Lutheran | 39 |
| 13 | Methodist | 142 |
| 14 | Pentecostal Holiness Church | 23 |
| 15 | Roman Catholic | 120 |
| 16 | Salvation Army | 7 |
| 17 | Seventh Day Adventist | 11 |
| 18 | St John's Apostolic | 45 |
| 19 | United Congregational Church | 28 |
| 20 | Universal Church of God | 20 |
| 21 | Nazareth | 35 |
| 22 | Zionist Christian Church | 245 |
| 23 | Other Christian | 107 |
| 24 | Islam or Muslim | 138 |
| 25 | Judaism or Jewish | 1 |
| 26 | Hinduism or Hindu | 125 |
| 27 | Buddhism or Buddhist | 1 |
| 28 | Other | 285 |
| 990 | NAP, other countries | 45657 |
| 997 | Refused | 10 |
| 998 | Don't know | 4 |
| 999 | No answer | 94 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2955 | 45765 |
Valid range from 0 to 28
RELIGGRP Groups of religious affiliations (derived from nat_RELIG)
| Value 167229 | Frequency | |
|---|---|---|
| 0 | No religion | 11285 |
| 1 | Catholic | 11681 |
| 2 | Protestant | 8753 |
| 3 | Orthodox | 2956 |
| 4 | Other Christian, NZ: Christian | 2717 |
| 5 | Jewish | 1035 |
| 6 | Islamic | 2819 |
| 7 | Buddhist | 2646 |
| 8 | Hindu | 1651 |
| 9 | Other Asian Religions | 1210 |
| 10 | Other Religions | 641 |
| 97 | Refused | 203 |
| 98 | Information insufficient | 72 |
| 99 | No answer | 1051 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47394 | 1326 | 0 | 10 |
Valid range from 0 to 10
ATTEND Attendance of religious services
| Value 168228 | Frequency | |
|---|---|---|
| 1 | Several times a week or more often (incl. every day, several | 2527 |
| 2 | Once a week;GB:O.a w.or more;US:Every week | 4579 |
| 3 | 2 or 3 times a month; DE:1-3 times/month; HU,US:incl.nearly | 3409 |
| 4 | Once a month | 2681 |
| 5 | Several times a year; GB:At least twice a year | 8808 |
| 6 | Once a year; CH,HU,US,ZA:Once or twice a year | 4601 |
| 7 | Less frequently than once a year;DE:L.f.than sev. times a ye | 6312 |
| 8 | Never | 13969 |
| 0 | TR: NAP, no Muslim | 18 |
| 97 | Refused | 230 |
| 98 | Don't know | 236 |
| 99 | No answer | 1350 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46886 | 1834 | 1 | 8 |
Valid range from 1 to 8
TOPBOT Top-Bottom self-placement
| Value 169227 | Frequency | |
|---|---|---|
| 1 | Lowest, Bottom, 01 | 1445 |
| 2 | 02 | 1784 |
| 3 | 03 | 3990 |
| 4 | 04 | 5712 |
| 5 | 05 | 11802 |
| 6 | 06 | 9109 |
| 7 | 07 | 6351 |
| 8 | 08 | 3660 |
| 9 | 09 | 879 |
| 10 | Highest, Top, 10 | 655 |
| 0 | NAV (NZ) | 1350 |
| 98 | Don't know | 547 |
| 99 | No answer | 1436 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45387 | 3333 | 1 | 10 |
Valid range from 1 to 10
VOTE_LE Did respondent vote in last general election
| Value 170226 | Frequency | |
|---|---|---|
| 1 | Yes | 34996 |
| 2 | No, NZ: incl. was not eligible | 8022 |
| 0 | NAP, not eligible to vote at last election;NAV(GB) | 3685 |
| 7 | Refused | 812 |
| 8 | Don't know | 137 |
| 9 | No answer | 1068 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43018 | 5702 | 1 | 2 |
Valid range from 1 to 2
AU_PRTY Country specific party voted for in last general election: Australia
| Value 171225 | Frequency | |
|---|---|---|
| 1 | Liberal Party | 467 |
| 2 | Labor Party - ALP | 337 |
| 3 | National Party | 51 |
| 5 | Greens | 135 |
| 6 | One nation | 18 |
| 7 | Family First Party | 4 |
| 8 | Liberal National Party of Queensland | 1 |
| 9 | Palmer United Party | 2 |
| 11 | Animal Justice Party | 3 |
| 12 | Australian Sex Party | 3 |
| 16 | Christian Democratic Party (Fred Nile Group) | 5 |
| 18 | Katter's Australian Party | 1 |
| 19 | Shooters and Fishers Party | 4 |
| 22 | Australian Liberty Alliance | 5 |
| 23 | Australian Christians | 1 |
| 24 | Help End Marijuana Prohibition (HEMP) Party | 3 |
| 25 | Liberal Democratic Party | 2 |
| 26 | Australian Motoring Enthusiast Party | 2 |
| 27 | Nick Xenophon Team | 9 |
| 28 | Renewable Energy Party | 1 |
| 90 | Independent candidate | 23 |
| 95 | Other Party | 2 |
| 96 | Invalid ballot | 3 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 33 |
| 97 | Refused | 7 |
| 98 | Don't know, don't remember | 6 |
| 99 | No answer | 139 |
| 990 | NAP, other countries | 47453 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1082 | 47638 | 1 | 96 |
Valid range from 1 to 96
BE_PRTY Country specific party voted for in last general election: Belgium
| Value 172224 | Frequency | |
|---|---|---|
| 1 | Reformist Movement Francophone - MR | 213 |
| 2 | Green Party Flemish - Groen | 73 |
| 3 | Flemish Interest - Vlaams Belang | 31 |
| 4 | Party active in German speaking community - Pro Deutschsprac | 2 |
| 5 | Unitarian progressive liberal party - Vivant | 3 |
| 6 | Federal Democratic Francophones - FDF | 18 |
| 7 | Flemish Liberals and Democrats - Open VLD | 74 |
| 8 | List Dedecker - Lijst Dedecker | 0 |
| 9 | Green Party Francophone - Ecolo | 127 |
| 10 | Socialist Party Francophone - PS | 207 |
| 11 | Union of Francophone - UF | 1 |
| 12 | Socialist Party Flemish - SP.a | 73 |
| 13 | National Flemish Alliance N-VA | 255 |
| 14 | Christian Democrats Francophone - cdH | 70 |
| 15 | Christian Democrats Flemish - CD&V | 121 |
| 16 | Popular Party - Parti Populaire | 7 |
| 17 | Flemish Party of Labor in Belgium - PVDA+ | 17 |
| 18 | Francophone Party of Labor in Belgium - PTB-GO | 31 |
| 19 | Front national Francophone party - FN | 2 |
| 95 | Other Party | 12 |
| 96 | Invalid ballot | 111 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 336 |
| 98 | Don't know | 23 |
| 99 | No answer | 145 |
| 990 | NAP, other countries | 46768 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1448 | 47272 |
Valid range from 1 to 96
CH_PRTY Country specific party voted for in last general election: Switzerland
| Value 173223 | Frequency | |
|---|---|---|
| 1 | The Liberals - FDP/PLR | 90 |
| 2 | Christian-Democratic Party - CVP/PDC/PPD | 46 |
| 3 | Social Democratic Party - SP/PS | 87 |
| 4 | Swiss People's Party - SVP/UDC | 87 |
| 5 | Conservative-democratic Party - BDP/PBD | 11 |
| 6 | Evangelical Party - EVP/PEV | 10 |
| 7 | Christian Social Party - CSP/PCS | 0 |
| 8 | Labour Party - PdA/PST-POP/PSdL-PST | 0 |
| 9 | Green Party - GPS/PES/I Verdi | 25 |
| 10 | Green Liberal Party - GLP/PVL | 20 |
| 11 | Swiss Democrats - SD/DS | 1 |
| 12 | Federal Democratic Union - EDU/UDF | 3 |
| 13 | Lega dei Ticinese - Lega | 2 |
| 14 | Movement of the citizens of French-speaking Switzerland - MC | 0 |
| 15 | Solidarity | 2 |
| 94 | Mixed vote (Candidates of several lists) | 130 |
| 95 | Other Party | 2 |
| 96 | Invalid ballot | 6 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 437 |
| 98 | Don't know, don't remember | 48 |
| 99 | No answer | 59 |
| 990 | NAP, other countries | 47654 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 522 | 48198 | 1 | 96 |
Valid range from 1 to 96
CL_PRTY Country specific party voted for in last general election: Chile
| Value 174222 | Frequency | |
|---|---|---|
| 1 | National Renewal Party - RN | 60 |
| 2 | Christian Democratic Party - PDC | 22 |
| 3 | Party for Democracy - PPD | 22 |
| 4 | Democratic Independent Union - UDI | 31 |
| 5 | Socialist Party - PS | 117 |
| 6 | Radical Social Democratic Party - PRSD | 8 |
| 7 | Communist Party of Chile - PCCh | 3 |
| 8 | Humanist Party - PH | 2 |
| 9 | Environmentalist Green Party - PEV | 2 |
| 10 | Progressive Party - PRO | 2 |
| 11 | Equality Party - PI | 1 |
| 12 | Regionalist Independent Party - PRI | 2 |
| 13 | Party of Political Evolution- Evopoli | 0 |
| 95 | Other party | 12 |
| 96 | Invalid ballot | 266 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 478 |
| 97 | Refused | 112 |
| 99 | No answer | 276 |
| 990 | NAP, other countries | 47304 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 550 | 48170 |
Valid range from 1 to 96
CZ_PRTY Country specific party voted for in last general election: Czech Republic
| Value 175221 | Frequency | |
|---|---|---|
| 1 | Czech Social Democratic Party - CSSD | 211 |
| 2 | Civic Democratic Party - ODS | 86 |
| 3 | Communist Party of Bohemia and Moravia - KSCM | 85 |
| 4 | Christian Democratic Party-Czech Peoples Party - KDU-CSL | 53 |
| 5 | ANO 2011 - ANO | 170 |
| 6 | TOP 09 | 82 |
| 7 | Dawn of Direct Democracy Party - Tomio Okamura | 18 |
| 8 | Green Party - SZ | 25 |
| 9 | Czech Pirate Party - Pirati | 6 |
| 10 | Party of Citizens' Rights - Zemanovci - SPOZ | 11 |
| 95 | Other | 7 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 539 |
| 98 | Don't know, don't remember | 26 |
| 99 | No answer | 81 |
| 990 | NAP, other countries | 47320 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 754 | 47966 |
Valid range from 1 to 95
DE_PRTY Country specific party voted for in last general election: Germany
| Value 176220 | Frequency | |
|---|---|---|
| 1 | Christian Democratic Union/Christian Social Union - CDU/CSU | 389 |
| 2 | Social Democratic Party of Germany - SPD | 280 |
| 3 | The Left - Die Linke | 108 |
| 4 | Alliance 90/The Greens - Buendnis 90/Die Gruenen | 147 |
| 5 | Free Democratic Party - FDP | 79 |
| 6 | Alternative for Germany - AfD | 44 |
| 7 | Pirate Party - Piratenpartei | 15 |
| 8 | National-Democratic Party of Germany - NPD | 9 |
| 95 | Other Party | 5 |
| 96 | Invalid ballot | 11 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 381 |
| 97 | Refused | 170 |
| 99 | No answer | 51 |
| 990 | NAP, other countries | 47031 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1087 | 47633 | 1 | 96 |
Valid range from 1 to 96
DK_PRTY Country specific party voted for in last general election: Denmark
| Value 177219 | Frequency | |
|---|---|---|
| 1 | Social Democratic Party - Socialdemokratiet | 217 |
| 2 | Radical Liberal Party - Det Radikale Venstre | 62 |
| 3 | Conservative People's Party - Det Konservative Folkeparti | 33 |
| 4 | Socialist People's Party - Socialistisk Folkeparti | 43 |
| 5 | Christian People's Party - Kristendemokraterne | 10 |
| 6 | Danish People's Party - Dansk Folkeparti | 160 |
| 7 | Liberal Party - Venstre | 179 |
| 8 | Liberal Alliance - Liberal Alliance | 55 |
| 9 | Left-wing Alliance - Enhedslisten | 60 |
| 10 | The Alternative - Alternativet | 61 |
| 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 | 47582 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 888 | 47832 | 1 | 96 |
Valid range from 1 to 96
ES_PRTY Country specific party voted for in last general election: Spain
| Value 178218 | Frequency | |
|---|---|---|
| 1 | Popular Party - PP | 311 |
| 2 | Spanish Socialist Workers Party - PSOE | 300 |
| 3 | Podemos | 188 |
| 4 | Ciudadanos | 164 |
| 5 | United Left - IU | 40 |
| 6 | En Comu Podem | 11 |
| 7 | Coalition of regional/ nationalist left-wing parties - Compr | 17 |
| 8 | Republican Catalonian Left - ERC | 26 |
| 9 | Democracia i Llibertad, previously part of Convergencia i Un | 15 |
| 10 | En Marea | 6 |
| 11 | Basque Nationalist Party - PNV | 12 |
| 12 | Nationalist coalition of left wing parties Euskal Herria Bil | 4 |
| 13 | Canary Islands Coalition - 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 | 46886 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1154 | 47566 | 1 | 96 |
Valid range from 1 to 96
FI_PRTY Country specific party voted for in last general election: Finland
| Value 179217 | Frequency | |
|---|---|---|
| 1 | National Coalition Party - KOK | 151 |
| 2 | True Finns - PS | 114 |
| 3 | Swedish Peoples Party - SFP/RKP | 39 |
| 4 | Centre Party of Finland - KESK | 162 |
| 5 | Christian Democrats - KD | 28 |
| 6 | Social Democratic Party - SDP | 140 |
| 7 | Left Alliance - VAS | 52 |
| 8 | Green League - VIHR | 92 |
| 95 | Other Party | 16 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 264 |
| 97 | Refused | 97 |
| 98 | Don't know, don't remember | 16 |
| 99 | No answer | 15 |
| 990 | NAP, other countries | 47534 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 794 | 47926 |
Valid range from 1 to 95
FR_PRTY Country specific party voted for in last general election: France
| Value 180216 | Frequency | |
|---|---|---|
| 1 | Workers' Struggle - LO - Nathalie Arthaud | 10 |
| 2 | New Anticapitalist Party - NPA - Philippe Poutou | 9 |
| 3 | Left Front - FG - Jean-Luc Melenchon | 90 |
| 4 | Socialist Party - PS - Francois Hollande | 353 |
| 5 | Green party - EELV - Eva Joly | 76 |
| 6 | Democratic Movement - MoDem - Francois Bayrou | 93 |
| 7 | Union for a Popular Movement - UMP - Nicolas Sarkozy | 330 |
| 8 | Arise the Republic - DLR - Nicolas Dupont-Aignan | 24 |
| 9 | National Front - FN - Marine Le Pen | 123 |
| 10 | Solidarity and Progress - Jacques Cheminade | 2 |
| 96 | Invalid balot | 88 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 174 |
| 99 | No answer | 129 |
| 990 | NAP, other countries | 47219 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1198 | 47522 |
Valid range from 1 to 96
GB_PRTY Country specific party voted for in last general election: Great Britain (GB-GBN)
| Value 181215 | Frequency | |
|---|---|---|
| 990 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
GE_PRTY Country specific party voted for in last general election: Georgia
| Value 182214 | Frequency | |
|---|---|---|
| 1 | Green's Party - Giorgi Gachechiladze | 2 |
| 2 | For The Name Of The Lord, Lord Is Our Righteousness | 4 |
| 3 | Political Movement of Armed Veterans and Patriots | 1 |
| 4 | Georgian Party Irakli Okruashvili | 2 |
| 5 | Alliance of Patriots of Georgia - Davit Tarkhan-Mouravi | 5 |
| 6 | Unity Hall | 0 |
| 7 | Our Georgia | 2 |
| 8 | Georgian Labour Party - Shalva Natelashvili | 17 |
| 9 | Future Georgia | 0 |
| 10 | Christian-Democratic Party (Christian Democrats) | 2 |
| 11 | Merab Kostava Society | 0 |
| 12 | United Opposition - Nino Burjanadze | 6 |
| 13 | People's Movement | 0 |
| 14 | National Democratic Party | 2 |
| 15 | Reformers - Irakli Ghlonti | 0 |
| 16 | The way of Georgia - Salome Zurabishvili | 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' (Georg.Dream, Conservative P. | 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 | 47233 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 784 | 47936 | 1 | 25 |
Valid range from 1 to 25
HR_PRTY Country specific party voted for in last general election: Croatia
| Value 183213 | Frequency | |
|---|---|---|
| 1 | Croatian Democratic Union (Conservative) - HDZ | 202 |
| 2 | Social Democratic Party (Social-Democrat) - SDP | 133 |
| 3 | Croatian Party of Rights (Right, Conservative) - HSP | 5 |
| 4 | Croatian Peasant Party (Center) - HSS | 19 |
| 5 | Croatian People's Party (Center) - HNS | 18 |
| 6 | Croatian Social Liberal Party (Liberal) - HSLS2 | 2 |
| 7 | Istrian Democratic Assembly (Regional) - IDS | 16 |
| 8 | Croatian Party of Pensioners - HSU | 10 |
| 9 | Croatian Democratic Union of Slavonija and Baranja - HDSSB | 120 |
| 10 | Living Wall - ZZ | 32 |
| 11 | Bridge of Independent Lists - MOST | 61 |
| 12 | Party of Labour and Solidarity - BM 365 | 12 |
| 95 | Other Party | 40 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 348 |
| 99 | No answer | 8 |
| 990 | NAP, other countries | 47694 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 670 | 48050 |
Valid range from 1 to 95
HU_PRTY Country specific party voted for in last general election: Hungary
| Value 184212 | Frequency | |
|---|---|---|
| 1 | Hungarian Civic Alliance - Christian Democratic People's Par | 307 |
| 2 | Hungarian Socialist Party - MSZP-DK (Egyutt-PM-MLP) | 121 |
| 3 | Jobbik, the Movement for a Better Hungary - Jobbik Magyarors | 73 |
| 4 | Politics Can Be Different - LMP (Lehet Mas a Politika) | 17 |
| 95 | Other Party | 0 |
| 96 | Invalid ballot | 0 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 267 |
| 97 | Refused | 165 |
| 99 | No answer | 50 |
| 990 | NAP, other countries | 47720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 518 | 48202 |
Valid range from 1 to 96
IL_PRTY Country specific party voted for in last general election: Israel
| Value 185211 | 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 | 47472 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 921 | 47799 | 1 | 96 |
Valid range from 1 to 96
IN_PRTY Country specific party voted for in last general election: India
| Value 186210 | Frequency | |
|---|---|---|
| 1 | Congress + | 310 |
| 2 | BJP + | 630 |
| 3 | Left Front/ Communist Party | 34 |
| 4 | Third Front | 104 |
| 5 | Regional Party | 68 |
| 6 | Others | 4 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 347 |
| 99 | No answer | 11 |
| 990 | NAP, other countries | 47212 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1150 | 47570 |
Valid range from 1 to 6
IS_PRTY Country specific party voted for in last general election: Iceland
| Value 187209 | Frequency | |
|---|---|---|
| 1 | People's Front of Iceland | 2 |
| 2 | Bright Future | 103 |
| 3 | Dawn | 15 |
| 4 | People's Party | 29 |
| 5 | Progressive Party | 96 |
| 6 | Humanist Party | 1 |
| 7 | Icelandic National Front | 2 |
| 8 | Pirate Party | 123 |
| 9 | Social Democratic Alliance | 69 |
| 10 | Independence Party | 263 |
| 11 | The Reform Party | 104 |
| 12 | Left-Green Movement | 166 |
| 95 | Other party | 2 |
| 96 | Invalid ballot | 47 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 135 |
| 98 | Don't know, don't remember | 2 |
| 99 | No answer | 163 |
| 990 | NAP, other countries | 47398 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1022 | 47698 |
Valid range from 1 to 96
JP_PRTY Country specific party voted for in last general election: Japan
| Value 188208 | Frequency | |
|---|---|---|
| 1 | Liberal Democratic Party of Japan | 509 |
| 2 | The Democratic Party of Japan | 212 |
| 3 | Komeito | 76 |
| 4 | Japanese Communist Party | 64 |
| 5 | Initiatives from Osaka | 62 |
| 6 | Social Democratic Party | 24 |
| 7 | The People's Life Party (& Taro Yamamoto and Friends) | 12 |
| 8 | The Party for Japanese Kokoro | 7 |
| 9 | New Renaissance Party | 3 |
| 10 | The Happiness Realization Party | 3 |
| 11 | Kokumin Ikari no Koe (Angry Voice of the People) | 4 |
| 12 | Shijiseitou Nashi | 9 |
| 96 | Invalid ballot | 26 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 536 |
| 99 | No answer | 64 |
| 990 | NAP, other countries | 47109 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1011 | 47709 |
Valid range from 1 to 96
KR_PRTY Country specific party voted for in last general election: Korea (South)
| Value 189207 | Frequency | |
|---|---|---|
| 1 | Saenuri Party | 328 |
| 2 | The Minjoo Party | 274 |
| 3 | The People's Party | 129 |
| 4 | Justice Party | 24 |
| 95 | Other party | 16 |
| 96 | Invaild ballot | 2 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 233 |
| 97 | Refused | 41 |
| 99 | No answer | 4 |
| 990 | NAP, other countries | 47669 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 773 | 47947 |
Valid range from 1 to 96
LV_PRTY Country specific party voted for in last general election: Latvia
| Value 190206 | Frequency | |
|---|---|---|
| 1 | For Latvia's development | 4 |
| 2 | Sovereignty | 0 |
| 3 | Freedom. Free from fear, hate and anger | 0 |
| 4 | Unity | 139 |
| 5 | Growth | 0 |
| 6 | United for Latvia | 2 |
| 7 | National Alliance ALL FOR LATVIA!-For Fatherland and Freedom | 70 |
| 8 | Latvian Association of Regions | 15 |
| 9 | New Conservative Party | 3 |
| 10 | Latvia's Russian Union | 2 |
| 11 | Social-democratic party HARMONY | 92 |
| 12 | Union of Greens and Farmers | 121 |
| 13 | For Latvia from the Heart | 10 |
| 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 | 47718 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 458 | 48262 | 1 | 13 |
Valid range from 1 to 13
LT_PRTY Country specific party voted for in last general election: Lithuania
| Value 191205 | Frequency | |
|---|---|---|
| 1 | Labour Party - DP | 77 |
| 2 | Christian Party - KP | 14 |
| 3 | Liberal and Centre Union - LiCS | 35 |
| 4 | Electoral Action of Lithuanian Poles - LLRA | 21 |
| 5 | Liberal Movement of Lithuanian Republic - LRLS | 36 |
| 6 | Lithuanian Social Democratic Party - LSDP | 119 |
| 7 | Lithuanian Peasants and Greens Union - LVZS | 18 |
| 8 | Order and Justice - TT | 50 |
| 9 | The Way of Courage - DK | 8 |
| 10 | Union Yes - TAIP | 0 |
| 11 | Socialist People's Front - SLF | 2 |
| 12 | Homeland Union - Lithuanian Christian Democrats - TS-LKD | 44 |
| 95 | Other | 2 |
| 96 | Invalid ballot | 17 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 383 |
| 97 | Refused | 151 |
| 98 | Don't know, don't remember | 25 |
| 99 | No answer | 4 |
| 990 | NAP, other countries | 47714 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 443 | 48277 |
Valid range from 1 to 96
NO_PRTY Country specific party voted for in last general election: Norway
| Value 192204 | Frequency | |
|---|---|---|
| 1 | Labour Party - DNA | 316 |
| 2 | Progress Party - FRP | 93 |
| 3 | Conservative Party - H | 265 |
| 4 | Christian Democratic Party - KrF | 45 |
| 5 | The Green Party - MDG | 35 |
| 6 | The Party Red | 13 |
| 7 | Centre Party - SP | 63 |
| 8 | Socialist Left - SV | 41 |
| 9 | Liberal Party - V | 63 |
| 95 | Other Party | 11 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 197 |
| 98 | Don't know | 55 |
| 99 | No answer | 63 |
| 990 | NAP, other countries | 47460 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 945 | 47775 |
Valid range from 1 to 95
NZ_PRTY Country specific party voted for in last general election: New Zealand
| Value 193203 | Frequency | |
|---|---|---|
| 1 | Labour | 301 |
| 2 | National | 590 |
| 3 | Green | 130 |
| 4 | New Zealand First | 83 |
| 5 | ACT | 3 |
| 6 | United Future | 5 |
| 7 | Maori Party | 23 |
| 8 | Internet-Mana Party | 8 |
| 95 | Other Party | 16 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 103 |
| 99 | No answer | 88 |
| 990 | NAP, other countries | 47370 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1159 | 47561 |
Valid range from 1 to 95
PH_PRTY Country specific party voted for in last general election: Philippines
| Value 194202 | Frequency | |
|---|---|---|
| 990 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
RU_PRTY Country specific party voted for in last general election: Russia
| Value 195201 | Frequency | |
|---|---|---|
| 1 | Fair Russia | 52 |
| 2 | Liberal Democratic Party of Russia | 77 |
| 3 | Party of Patriots of Russia | 4 |
| 4 | Russian Communist Party | 113 |
| 5 | Russian United Democratic Party Yabloko | 11 |
| 6 | United Russia | 636 |
| 7 | Party 'Pravoe delo' | 2 |
| 96 | Invalid ballot | 7 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 674 |
| 990 | NAP, other countries | 47144 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 902 | 47818 |
Valid range from 1 to 96
SE_PRTY Country specific party voted for in last general election: Sweden
| Value 196200 | Frequency | |
|---|---|---|
| 1 | Centre Party - C | 88 |
| 2 | Christian Democrats - KD | 34 |
| 3 | Liberal Party - L | 62 |
| 4 | Green Party - MP | 73 |
| 5 | Conservative Party - M | 243 |
| 6 | Social Democratic Party - S | 313 |
| 7 | Sweden Democrats - SD | 105 |
| 8 | Left Party - V | 64 |
| 95 | Other Party | 49 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 75 |
| 99 | No answer | 34 |
| 990 | NAP, other countries | 47580 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1031 | 47689 |
Valid range from 1 to 95
SI_PRTY Country specific party voted for in last general election: Slovenia
| Value 197199 | 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 | 146 |
| 990 | NAP, other countries | 47696 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 489 | 48231 | 1 | 96 |
Valid range from 1 to 96
SK_PRTY Country specific party voted for in last general election: Slovakia
| Value 198198 | Frequency | |
|---|---|---|
| 1 | TIP | 3 |
| 2 | Party of Modern Slovakia - SMS | 2 |
| 3 | Ordinary people and independent personalities - OL'ANO-NOVA | 55 |
| 4 | DS - L'udo Kanik | 3 |
| 5 | Chance | 2 |
| 6 | We are family - Boris Kollar | 23 |
| 7 | Green party of Slovakia - SZS | 5 |
| 8 | Coalition together for Slovakia | 2 |
| 9 | Hungarian Christian Democratic Alliance | 0 |
| 10 | Defiance | 0 |
| 11 | Bridge - MOST-HID | 37 |
| 12 | Slovak National Party - SNS | 80 |
| 13 | Courage - Great national and pro-russian coalition | 1 |
| 14 | Communist party of Slovakia - KSS | 4 |
| 15 | Slovak Democratic and Christian Union - Democratic Party - S | 6 |
| 16 | Social Democracy - SMER-SD | 276 |
| 17 | Christian Democratic Movement - KDH | 54 |
| 18 | SKOK! | 8 |
| 19 | Kotleba - People's Party Our Slovakia - L'SNS | 37 |
| 20 | #SIET | 28 |
| 21 | Party of Hungarian Community - SMK | 23 |
| 22 | Direct Democracy - PD | 0 |
| 23 | Freedom and Solidarity - SaS | 84 |
| 96 | Invalid ballot | 2 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 340 |
| 97 | Refused | 43 |
| 98 | Does not know | 18 |
| 99 | No answer | 14 |
| 990 | NAP, other countries | 47570 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 735 | 47985 | 1 | 96 |
Valid range from 1 to 96
SR_PRTY Country specific party voted for in last general election: Suriname
| Value 199197 | Frequency | |
|---|---|---|
| 1 | National Democratic Party - NDP | 288 |
| 2 | V7 (Political Alliance: BEP, DA'91, NPS/PVF, PL, SPA, VHP) | 271 |
| 3 | Alternative Combination (ABOP, KTPI, PDO) - AC | 83 |
| 4 | Progressive Workers' and Farmers' Union - PALU | 8 |
| 5 | Democracy and Development in Unity - DOE | 33 |
| 95 | Other party | 11 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 210 |
| 97 | Refused | 202 |
| 99 | No answer incl. don't remember | 167 |
| 990 | NAP, other countries | 47447 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 694 | 48026 |
Valid range from 1 to 95
TH_PRTY Country specific party voted for in last general election: Thailand
| Value 200196 | Frequency | |
|---|---|---|
| 1 | Chartthaipattana Party | 23 |
| 2 | Democrat Party | 164 |
| 3 | Pheu Thai Party | 484 |
| 4 | Pheu Pandin Party | 3 |
| 5 | Bhumjaithai Party | 5 |
| 95 | Other party | 33 |
| 96 | Invalid ballot | 8 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 213 |
| 97 | Refused | 484 |
| 98 | Don't know, don't remember | 44 |
| 99 | No answer | 14 |
| 990 | NAP, other countries | 47245 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 720 | 48000 | 1 | 96 |
Valid range from 1 to 96
TR_PRTY Country specific party voted for in last general election: Turkey
| Value 201195 | Frequency | |
|---|---|---|
| 1 | Justice and development Party - AKP | 654 |
| 2 | Republican Peoples Party - CHP | 247 |
| 3 | Peoples' Democratic Party - HDP | 82 |
| 4 | Nationalist Action Party - MHP | 128 |
| 95 | Other party | 4 |
| 96 | Invalid ballot | 31 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 167 |
| 99 | No answer | 222 |
| 990 | NAP, other countries | 47185 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1146 | 47574 |
Valid range from 1 to 96
TW_PRTY Country specific party voted for in last general election: Taiwan
| Value 202194 | Frequency | |
|---|---|---|
| 1 | Kuo Min Tang - KMT | 319 |
| 2 | Democratic Progressive Party - DPP | 844 |
| 3 | People First Party - PFP | 144 |
| 96 | Invalid ballot | 33 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 402 |
| 97 | Refused | 155 |
| 98 | Don't know, don't remember | 61 |
| 99 | No answer | 8 |
| 990 | NAP, other countries | 46754 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1340 | 47380 |
Valid range from 1 to 96
US_PRTY Country specific party voted for in last general election: United States
| Value 203193 | Frequency | |
|---|---|---|
| 2 | Democrat (Obama) | 506 |
| 4 | Other Candidate | 23 |
| 6 | Republican (Romney) | 292 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 499 |
| 99 | No answer | 70 |
| 990 | NAP, other countries | 47330 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 821 | 47899 |
Valid range from 2 to 6
VE_PRTY Country specific party voted for in last general election: Venezuela
| Value 204192 | Frequency | |
|---|---|---|
| 1 | PSUV (government) | 254 |
| 2 | MUD (opposition) | 378 |
| 95 | Other Party | 79 |
| 96 | Invalid ballot | 13 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 248 |
| 98 | Don't know, don't remember | 35 |
| 99 | No answer | 38 |
| 990 | NAP, other countries | 47675 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 724 | 47996 |
Valid range from 1 to 96
ZA_PRTY Country specific party voted for in last general election: South Africa
| Value 205191 | Frequency | |
|---|---|---|
| 1 | African Christian Democratic Party - ACDP | 13 |
| 2 | African National Congress - ANC | 1294 |
| 3 | Agang South Africa - AGANG SA | 1 |
| 4 | Azanian People's Organisation - AZAPO | 1 |
| 5 | Congress of the People - COPE | 18 |
| 6 | Democratic Party/ Alliance - DA | 550 |
| 7 | Economic Freedom Fighters - EFF | 57 |
| 8 | Freedom Front Plus/ Vryheidsfront Plus - FF+/VF+ | 15 |
| 9 | Inkatha Freedom Party - IFP | 20 |
| 10 | Minority Front - MF | 9 |
| 11 | New Freedom Party - NFP | 2 |
| 12 | Pan-Africanist Congress - PAC | 2 |
| 13 | United Christian Democratic Party - UCDP | 3 |
| 14 | United Democratic Movement - UDM | 7 |
| 95 | Other Party | 7 |
| 96 | Uncertain | 19 |
| 0 | NAP (Code 0, 2, 7 in VOTE_LE) | 974 |
| 99 | No answer | 71 |
| 990 | NAP, other countries | 45657 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2018 | 46702 |
Valid range from 1 to 96
PARTY_LR R: Party voted for in last general election: left-right (derived from nat_PRTY)
| Value 206190 | Frequency | |
|---|---|---|
| 1 | Far left (communist etc.) | 1406 |
| 2 | Left, center left | 6461 |
| 3 | Center, liberal | 7167 |
| 4 | Right, conservative | 8783 |
| 5 | Far right (fascist etc.) | 818 |
| 6 | Other | 849 |
| 96 | Invalid ballot | 640 |
| 0 | NAP (Code 0,2,7 in VOTE_LE); NAV (GB,GE,PH,SR,TW,VE) | 17974 |
| 97 | Refused | 1454 |
| 98 | Insufficient information to code into scheme | 731 |
| 99 | No answer | 2437 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 26124 | 22596 | 1 | 96 |
Valid range from 1 to 96
AU_ETHN1 Country specific ethnic group 1: Australia
| Value 207189 | Frequency | |
|---|---|---|
| 1 | AU born: + Both parents also AU born | 656 |
| 2 | AU born: 1 or 2 parents born in English-speaking country | 87 |
| 3 | AU born: 1 or 2 parents born in non-English-speaking country | 104 |
| 4 | Born in English-speaking country | 158 |
| 5 | Born in non-English-speaking country | 195 |
| 6 | Aboriginal or Torres Strait Islander | 33 |
| 7 | Born in Australia - no information on parents | 1 |
| 0 | NAP, other countries | 47453 |
| 99 | No answer | 33 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1234 | 47486 | 1 | 7 |
Valid range from 1 to 7
AU_ETHN2 Country specific ethnic group 2: Australia
| Value 208188 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
BE_ETHN1 Country specific ethnic group 1: Belgium
| Value 209187 | Frequency | |
|---|---|---|
| 1 | Belgians | 1496 |
| 2 | Flemings | 243 |
| 3 | Walloons | 52 |
| 4 | Brussels | 93 |
| 5 | Other | 35 |
| 0 | NAP, other countries | 46768 |
| 97 | 3 ethnic groups or more | 20 |
| 99 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1919 | 46801 |
Valid range from 1 to 5
BE_ETHN2 Country specific ethnic group 2: Belgium
| Value 210186 | Frequency | |
|---|---|---|
| 1 | Belgians | 0 |
| 2 | Flemings | 345 |
| 3 | Walloons | 433 |
| 4 | Brussels | 311 |
| 5 | Other | 77 |
| 0 | NAP, other countries | 46768 |
| 97 | 3 ethnic groups or more | 20 |
| 99 | No answer | 766 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1166 | 47554 |
Valid range from 1 to 5
CH_ETHN1 Country specific ethnic group 1: Switzerland
| Value 211185 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
CH_ETHN2 Country specific ethnic group 2: Switzerland
| Value 212184 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
CL_ETHN1 Country specific ethnic group 1: Chile
| Value 213183 | Frequency | |
|---|---|---|
| 1 | Alacalufe (Kawashkar) | 1 |
| 2 | Atacameno (Likan antai) | 1 |
| 3 | Aimara | 3 |
| 4 | Colla | 0 |
| 5 | Mapuche | 91 |
| 6 | Quechua | 3 |
| 7 | Rapa Nui | 0 |
| 8 | Yamana (Yagan) | 0 |
| 9 | Diaguita | 2 |
| 96 | None of these | 1247 |
| 0 | NAP, other countries | 47304 |
| 98 | Don't know | 22 |
| 99 | No answer | 46 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1348 | 47372 |
Valid range from 1 to 96
CL_ETHN2 Country specific ethnic group 2: Chile
| Value 214182 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
CZ_ETHN1 Country specific ethnic group 1: Czech Republic
| Value 215181 | Frequency | |
|---|---|---|
| 1 | Czech | 1285 |
| 2 | Moravian | 68 |
| 3 | Silesian | 12 |
| 4 | Slovak | 6 |
| 5 | Polish | 1 |
| 6 | German | 3 |
| 7 | Roma | 8 |
| 8 | Ukrainian | 1 |
| 12 | Other | 2 |
| 0 | NAP, other countries | 47320 |
| 99 | No answer | 14 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1386 | 47334 |
Valid range from 1 to 12
CZ_ETHN2 Country specific ethnic group 2: Czech Republic
| Value 216180 | Frequency | |
|---|---|---|
| 2 | Moravian | 24 |
| 3 | Silesian | 5 |
| 4 | Slovak | 5 |
| 6 | German | 1 |
| 8 | Ukrainian | 3 |
| 12 | Other | 1 |
| 0 | NAP, other countries | 47320 |
| 99 | No (second) answer | 1361 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 39 | 48681 |
Valid range from 2 to 12
DE_ETHN1 Country specific ethnic group 1: Germany
| Value 217179 | Frequency | |
|---|---|---|
| 40 | Austria | 5 |
| 51 | Armenia | 2 |
| 70 | Bosnia and Herzegovina | 3 |
| 100 | Bulgaria | 2 |
| 156 | China | 2 |
| 191 | Croatia | 3 |
| 250 | France | 4 |
| 276 | Germany | 1569 |
| 300 | Greece | 5 |
| 348 | Hungary | 1 |
| 380 | Italy | 6 |
| 398 | Kazakhstan | 1 |
| 442 | Luxembourg | 1 |
| 450 | Madagascar | 1 |
| 504 | Morocco | 1 |
| 528 | Netherlands | 6 |
| 586 | Pakistan | 1 |
| 616 | Poland | 8 |
| 642 | Romania | 3 |
| 643 | Russian Federation | 8 |
| 688 | Serbia | 5 |
| 704 | Viet Nam | 1 |
| 724 | Spain | 1 |
| 756 | Switzerland | 1 |
| 760 | Syrian Arab Republic | 1 |
| 792 | Turkey | 11 |
| 804 | Ukraine | 3 |
| 826 | United Kingdom | 1 |
| 840 | United States | 1 |
| 902 | Kosovo | 1 |
| 903 | Kurds | 1 |
| 996 | None | 19 |
| 0 | NAP, other countries | 47031 |
| 999 | No answer | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1678 | 47042 | 40 | 996 |
Valid range from 40 to 996
DE_ETHN2 Country specific ethnic group 2: Germany
| Value 218178 | Frequency | |
|---|---|---|
| 8 | Albania | 1 |
| 40 | Austria | 20 |
| 56 | Belgium | 1 |
| 70 | Bosnia and Herzegovina | 5 |
| 191 | Croatia | 4 |
| 203 | Czech Republic | 1 |
| 208 | Denmark | 1 |
| 218 | Ecuador | 1 |
| 250 | France | 3 |
| 300 | Greece | 5 |
| 356 | India | 1 |
| 380 | Italy | 12 |
| 440 | Lithuania | 1 |
| 504 | Morocco | 2 |
| 528 | Netherlands | 1 |
| 578 | Norway | 1 |
| 616 | Poland | 11 |
| 620 | Portugal | 1 |
| 642 | Romania | 3 |
| 643 | Russian Federation | 16 |
| 688 | Serbia | 2 |
| 704 | Viet Nam | 1 |
| 710 | South Africa | 1 |
| 724 | Spain | 2 |
| 792 | Turkey | 13 |
| 804 | Ukraine | 1 |
| 826 | United Kingdom | 1 |
| 840 | United States | 2 |
| 901 | Jews | 1 |
| 904 | Scotland | 1 |
| 907 | Persia | 1 |
| 995 | Europe | 2 |
| 0 | NAP, other countries | 47031 |
| 998 | No second ethnic group | 1559 |
| 999 | No answer | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 119 | 48601 | 8 | 995 |
Valid range from 8 to 995
DK_ETHN1 Country specific ethnic group 1: Denmark
| Value 219177 | Frequency | |
|---|---|---|
| 1 | Danes | 815 |
| 2 | Migrants group | 4 |
| 3 | Religious group | 10 |
| 4 | None/ other group | 52 |
| 0 | NAP, other countries | 47582 |
| 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 | 47839 | 1 | 4 |
Valid range from 1 to 4
DK_ETHN2 Country specific ethnic group 2: Denmark
| Value 220176 | Frequency | |
|---|---|---|
| 1 | Dane and immigrant or religious group | 113 |
| 2 | Immigrant and religious group | 0 |
| 3 | Other | 46 |
| 0 | NAP, other countries | 47582 |
| 99 | NA incl. identifying with max. one group (see DK_ETHN1) | 979 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 159 | 48561 | 1 | 3 |
Valid range from 1 to 3
ES_ETHN1 Country specific ethnic group 1: Spain
| Value 221175 | 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 | 46886 |
| 98 | Don't know | 19 |
| 99 | No answer | 26 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1789 | 46931 | 1 | 96 |
Valid range from 1 to 96
ES_ETHN2 Country specific ethnic group 2: Spain
| Value 222174 | 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 |
| 95 | Other option | 3 |
| 0 | NAP, other countries | 46886 |
| 98 | Don't know | 6 |
| 99 | No answer, no second ethnic group | 789 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1039 | 47681 | 2 | 95 |
Valid range from 2 to 95
FI_ETHN1 Country specific ethnic group 1: Finland
| Value 223173 | Frequency | |
|---|---|---|
| 1 | Finnish-speakers | 1104 |
| 2 | Swedish-speakers | 46 |
| 3 | Sami | 2 |
| 4 | Roma | 0 |
| 5 | Estonians | 4 |
| 6 | Russians | 3 |
| 7 | Swedes | 1 |
| 8 | Somali | 1 |
| 9 | Immigrants | 11 |
| 10 | Returnees | 2 |
| 11 | Other, please specify | 5 |
| 0 | NAP, other countries | 47534 |
| 99 | No answer | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1179 | 47541 |
Valid range from 1 to 11
FI_ETHN2 Country specific ethnic group 2: Finland
| Value 224172 | Frequency | |
|---|---|---|
| 1 | Finnish-speakers | 0 |
| 2 | Swedish-speakers | 18 |
| 3 | Sami | 1 |
| 4 | Roma | 1 |
| 5 | Estonians | 5 |
| 6 | Russians | 3 |
| 7 | Swedes | 0 |
| 8 | Somali | 0 |
| 9 | Immigrants | 3 |
| 10 | Returnees | 11 |
| 11 | Other, please specify | 12 |
| 0 | NAP, other countries | 47534 |
| 99 | No answer, no second ethnic group | 1132 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 54 | 48666 |
Valid range from 1 to 11
FR_ETHN1 Country specific ethnic group 1: France
| Value 225171 | Frequency | |
|---|---|---|
| 1 | Sub-Saharan Africa | 14 |
| 2 | Central America or South America | 5 |
| 3 | Antilles or Caribbean | 10 |
| 4 | Asia | 9 |
| 5 | Europe | 1241 |
| 6 | Maghreb | 38 |
| 7 | Indian subcontinent | 1 |
| 8 | Other | 90 |
| 0 | NAP, other countries | 47219 |
| 99 | No answer | 93 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1408 | 47312 |
Valid range from 1 to 8
FR_ETHN2 Country specific ethnic group 2: France
| Value 226170 | Frequency | |
|---|---|---|
| 1 | Sub-Saharan Africa | 0 |
| 2 | Central America or South America | 0 |
| 3 | Antilles or Caribbean | 1 |
| 4 | Asia | 1 |
| 5 | Europe | 8 |
| 6 | Maghreb | 6 |
| 7 | Indian subcontinent | 1 |
| 8 | Other | 22 |
| 0 | NAP, other countries | 47219 |
| 99 | No answer, no second ethnic group | 1462 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 39 | 48681 |
Valid range from 1 to 8
GB_ETHN1 Country specific ethnic group 1: Great Britain (GB-GBN)
| Value 227169 | Frequency | |
|---|---|---|
| 1 | Black: of African origin | 16 |
| 2 | Black: of Caribbean origin | 8 |
| 3 | Black: of other origin | 0 |
| 4 | Asian: of Indian origin | 22 |
| 5 | Asian: of Pakistani origin | 11 |
| 6 | Asian: of Bangladeshi origin | 4 |
| 7 | Asian: of Chinese origin | 10 |
| 8 | Asian: of other origin | 9 |
| 9 | White: of any origin | 1460 |
| 10 | Mixed origin | 13 |
| 11 | Other | 10 |
| 0 | NAP, other countries | 47157 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1563 | 47157 |
Valid range from 1 to 11
GB_ETHN2 Country specific ethnic group 2: Great Britain (GB-GBN)
| Value 228168 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
GE_ETHN1 Country specific ethnic group 1: Georgia
| Value 229167 | 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 | 47233 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1487 | 47233 | 1 | 11 |
Valid range from 1 to 11
GE_ETHN2 Country specific ethnic group 2: Georgia
| Value 230166 | Frequency | |
|---|---|---|
| 3 | Armenian | 2 |
| 5 | Russian | 1 |
| 0 | NAP, other countries | 47233 |
| 99 | No answer, no second ethnic group | 1484 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 3 | 48717 | 3 | 5 |
Valid range from 3 to 5
HR_ETHN1 Country specific ethnic group 1: Croatia
| Value 231165 | Frequency | |
|---|---|---|
| 1 | Croatian | 931 |
| 2 | Serbian | 37 |
| 3 | Other | 23 |
| 0 | NAP, other countries | 47694 |
| 99 | No answer | 35 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 991 | 47729 | 1 | 3 |
Valid range from 1 to 3
HR_ETHN2 Country specific ethnic group 2: Croatia
| Value 232164 | Frequency | |
|---|---|---|
| 3 | Other | 1 |
| 0 | NAP, other countries | 47694 |
| 99 | No answer, no second ethnic group | 1025 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1 | 48719 | 3 | 3 |
Valid range from 3 to 3
HU_ETHN1 Country specific ethnic group 1: Hungary
| Value 233163 | Frequency | |
|---|---|---|
| 1 | Hungarian | 988 |
| 2 | German | 1 |
| 5 | Romanian | 2 |
| 6 | Slovak | 3 |
| 7 | Roma/ Gypsy | 5 |
| 0 | NAP, other countries | 47720 |
| 98 | Don't know | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 999 | 47721 |
Valid range from 1 to 7
HU_ETHN2 Country specific ethnic group 2: Hungary
| Value 234162 | Frequency | |
|---|---|---|
| 1 | Hungarian | 11 |
| 2 | German | 5 |
| 4 | Croat | 2 |
| 5 | Romanian | 2 |
| 6 | Slovak | 1 |
| 7 | Roma/ Gypsy | 42 |
| 0 | NAP, other countries | 47720 |
| 99 | No second answer | 937 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 63 | 48657 |
Valid range from 1 to 7
IL_ETHN1 Country specific ethnic group 1: Israel
| Value 235161 | 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 | 47472 |
| 97 | Refused | 9 |
| 98 | Don't know | 3 |
| 99 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1230 | 47490 | 1 | 18 |
Valid range from 1 to 18
IL_ETHN2 Country specific ethnic group 2: Israel
| Value 236160 | 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 | 47472 |
| 97 | Refused | 9 |
| 98 | Don't know | 8 |
| 99 | No (second) answer | 131 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1100 | 47620 | 1 | 18 |
Valid range from 1 to 18
IN_ETHN1 Country specific ethnic group 1: India
| Value 237159 | Frequency | |
|---|---|---|
| 1 | Hindu-SC (Scheduled Caste/Dalits) | 213 |
| 2 | Hindu-ST (Scheduled Tribes) | 111 |
| 3 | Hindu-OBC (Other Backward Classes) | 467 |
| 4 | Hindu-UCH (Upper Caste Hindus) | 374 |
| 5 | Muslim Shia | 22 |
| 6 | Muslim Sunni | 164 |
| 7 | Muslims Others | 28 |
| 8 | Christians General | 53 |
| 10 | Sikh General | 23 |
| 11 | Sikh Dalits | 31 |
| 12 | Buddhist | 10 |
| 0 | NAP, other countries | 47212 |
| 99 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1496 | 47224 |
Valid range from 1 to 12
IN_ETHN2 Country specific ethnic group 2: India
| Value 238158 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
IS_ETHN1 Country specific ethnic group 1: Iceland
| Value 239157 | Frequency | |
|---|---|---|
| 1 | Yes, belong to a minority | 42 |
| 2 | No, do not belong to a minority | 1126 |
| 0 | NAP, other countries | 47398 |
| 99 | No answer | 154 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1168 | 47552 |
Valid range from 1 to 2
IS_ETHN2 Country specific ethnic group 2: Iceland
| Value 240156 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
JP_ETHN1 Country specific ethnic group 1: Japan
| Value 241155 | Frequency | |
|---|---|---|
| 1 | Japanese nationality | 1587 |
| 2 | Other | 8 |
| 0 | NAP, other countries | 47109 |
| 99 | No answer | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1595 | 47125 |
Valid range from 1 to 2
JP_ETHN2 Country specific ethnic group 2: Japan
| Value 242154 | Frequency | |
|---|---|---|
| 1 | Japanese | 1519 |
| 2 | Other | 11 |
| 0 | NAP, other countries | 47109 |
| 98 | Don't know | 49 |
| 99 | No answer | 32 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1530 | 47190 |
Valid range from 1 to 2
KR_ETHN1 Country specific ethnic group 1: Korea (South)
| Value 243153 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
KR_ETHN2 Country specific ethnic group 2: Korea (South)
| Value 244152 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
LT_ETHN1 Country specific ethnic group 1: Lithuania
| Value 245151 | Frequency | |
|---|---|---|
| 1 | Lithuanian | 898 |
| 2 | Polish | 62 |
| 3 | Russian | 35 |
| 4 | Belarussian | 5 |
| 5 | Ukrainian | 1 |
| 6 | Jew | 0 |
| 7 | Latvian | 2 |
| 8 | Tatar | 0 |
| 9 | German | 1 |
| 10 | Romani | 0 |
| 0 | NAP, other countries | 47714 |
| 97 | Refused | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1004 | 47716 |
Valid range from 1 to 10
LT_ETHN2 Country specific ethnic group 2: Lithuania
| Value 246150 | Frequency | |
|---|---|---|
| 1 | Lithuanian | 11 |
| 2 | Polish | 19 |
| 3 | Russian | 27 |
| 4 | Belarussian | 3 |
| 5 | Ukrainian | 3 |
| 6 | Jew | 2 |
| 7 | Latvian | 2 |
| 8 | Tatar | 0 |
| 9 | German | 1 |
| 10 | Romani | 0 |
| 0 | NAP, other countries | 47714 |
| 97 | Refused | 2 |
| 99 | No second group | 936 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 68 | 48652 |
Valid range from 1 to 10
LV_ETHN1 Country specific ethnic group 1: Latvia
| Value 247149 | Frequency | |
|---|---|---|
| 1 | Latvian | 659 |
| 2 | Russian | 254 |
| 3 | Belarussian | 16 |
| 5 | Israel | 1 |
| 6 | Lithuanian | 8 |
| 7 | Polish | 9 |
| 8 | Ukrainian | 13 |
| 9 | German | 1 |
| 20 | Azerbaijani | 1 |
| 22 | Hungarian | 1 |
| 23 | Estonian | 1 |
| 96 | No ethnic group | 28 |
| 0 | NAP, other countries | 47718 |
| 97 | Refused | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 992 | 47728 | 1 | 96 |
Valid range from 1 to 96
LV_ETHN2 Country specific ethnic group 2: Latvia
| Value 248148 | Frequency | |
|---|---|---|
| 1 | Latvian | 29 |
| 2 | Russian | 45 |
| 3 | Belarussian | 2 |
| 6 | Lithuanian | 2 |
| 7 | Polish | 1 |
| 8 | Ukrainian | 5 |
| 9 | German | 1 |
| 17 | Latgalian | 5 |
| 19 | Italian | 1 |
| 21 | Greek | 1 |
| 96 | No ethnic group | 28 |
| 0 | NAP, other countries | 47718 |
| 97 | Refused | 10 |
| 99 | No second group | 872 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 120 | 48600 | 1 | 96 |
Valid range from 1 to 96
NO_ETHN1 Country specific ethnic group 1: Norway
| Value 249147 | Frequency | |
|---|---|---|
| 1 | Norwegian | 1116 |
| 11 | West European | 6 |
| 12 | North European (Nordic) | 13 |
| 21 | South European | 3 |
| 22 | South-East European | 2 |
| 23 | East European | 5 |
| 30 | North African, Middle Eastern and Central Asian | 2 |
| 33 | Turkish | 1 |
| 34 | Iranian and Central Asian | 3 |
| 41 | West and Central African | 2 |
| 42 | Africa's Horn | 2 |
| 51 | South Asian | 1 |
| 52 | Mainland and Buddhist South-East Asian | 1 |
| 61 | Chinese Asian | 4 |
| 72 | Central American (includes Spanish-speaking Caribbean) | 1 |
| 90 | North American and Australasian | 1 |
| 0 | NAP, other countries | 47460 |
| 99 | NA, inadequately described, no group | 97 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1163 | 47557 |
Valid range from 1 to 90
NO_ETHN2 Country specific ethnic group 2: Norway
| Value 250146 | Frequency | |
|---|---|---|
| 1 | Norwegian | 20 |
| 11 | West European | 2 |
| 12 | North European (Nordic) | 8 |
| 21 | South European | 2 |
| 22 | South-East European | 1 |
| 23 | East European | 3 |
| 41 | West and Central African | 1 |
| 51 | South Asian | 2 |
| 52 | Mainland and Buddhist South-East Asian | 1 |
| 71 | South American | 3 |
| 72 | Central American (includes Spanish-speaking Caribbean) | 1 |
| 0 | NAP, other countries | 47460 |
| 99 | NA, inadequately described, no (second) group | 1216 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44 | 48676 |
Valid range from 1 to 72
NZ_ETHN1 Country specific ethnic group 1: New Zealand
| Value 251145 | Frequency | |
|---|---|---|
| 1 | Maori | 174 |
| 2 | European | 1026 |
| 3 | Pacific People | 23 |
| 4 | Asian | 82 |
| 5 | MELAA | 4 |
| 6 | Other | 20 |
| 0 | NAP, other countries | 47370 |
| 99 | No answer | 21 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1329 | 47391 |
Valid range from 1 to 6
NZ_ETHN2 Country specific ethnic group 2: New Zealand
| Value 252144 | Frequency | |
|---|---|---|
| 1 | Maori | 0 |
| 2 | European | 74 |
| 3 | Pacific People | 10 |
| 4 | Asian | 13 |
| 5 | MELAA | 0 |
| 6 | Other | 0 |
| 0 | NAP, other countries | 47370 |
| 99 | No answer, no second group | 1253 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 97 | 48623 |
Valid range from 1 to 6
PH_ETHN1 Country specific ethnic group 1: Philippines
| Value 253143 | Frequency | |
|---|---|---|
| 1 | Bicol | 84 |
| 2 | Ifugao | 2 |
| 3 | Igorot | 33 |
| 4 | Ilocano | 56 |
| 5 | Ilonggo | 156 |
| 6 | Cebuano | 375 |
| 7 | Chinese | 1 |
| 9 | Maguindanao | 15 |
| 10 | Maranao | 48 |
| 11 | Spanish | 1 |
| 12 | Tagalog | 306 |
| 13 | Tausug | 2 |
| 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 | Antiqueno | 1 |
| 96 | None | 9 |
| 0 | NAP, other countries | 47520 |
| 99 | No answer | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1199 | 47521 | 1 | 96 |
Valid range from 1 to 96
PH_ETHN2 Country specific ethnic group 2: Philippines
| Value 254142 | Frequency | |
|---|---|---|
| 3 | Igorot | 1 |
| 4 | Ilocano | 3 |
| 6 | Cebuano | 1 |
| 12 | Tagalog | 16 |
| 13 | Tausug | 1 |
| 15 | Waray | 4 |
| 16 | Visaya/ Bisaya | 2 |
| 18 | Pangasinense | 6 |
| 19 | Boholano | 3 |
| 22 | Mandaya | 2 |
| 26 | Aklanon | 2 |
| 33 | Masbateno | 1 |
| 34 | Kankanaey | 1 |
| 35 | Zambal | 1 |
| 36 | Manguwangan | 1 |
| 0 | NAP, other countries | 47520 |
| 99 | No answer, no second group | 1155 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45 | 48675 | 3 | 36 |
Valid range from 3 to 36
RU_ETHN1 Country specific ethnic group 1: Russia
| Value 255141 | Frequency | |
|---|---|---|
| 1 | Russian | 1320 |
| 2 | Ukrainian | 26 |
| 3 | Byelorussian | 20 |
| 4 | Tatar | 46 |
| 5 | Bashkir | 17 |
| 6 | Jewish | 2 |
| 7 | German | 2 |
| 8 | Volga peoples (Mari, Mordva, Chuvash, Udmurt) | 30 |
| 9 | North Caucasus peoples (Adyg, Cherkes, Chechen, etc) | 61 |
| 10 | Siberia and North peoples (Byrat, Khakas, Yakut, etc) | 1 |
| 11 | Middle Asia peoples (Kazakh, Uzbek, etc) | 18 |
| 12 | Other | 23 |
| 0 | NAP, other countries | 47144 |
| 97 | Refused | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1566 | 47154 |
Valid range from 1 to 12
RU_ETHN2 Country specific ethnic group 2: Russia
| Value 256140 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
SE_ETHN1 Country specific ethnic group 1: Sweden
| Value 257139 | Frequency | |
|---|---|---|
| 4 | People of Afghanistan (AFG) | 1 |
| 40 | People of Austria (AUT) | 2 |
| 70 | People of Bosnia and Herzegowina (BIH) | 1 |
| 76 | People of Brazil (BRA) | 1 |
| 191 | People of Croatia (local name: Hrvatska) (HRV) | 1 |
| 232 | People of Eritrea (ERI) | 1 |
| 246 | People of Finland (FIN) | 8 |
| 250 | People of France (FRA) | 1 |
| 275 | People of Palestinian Territory, Occupied (PSE) | 1 |
| 276 | People of Germany (DEU) | 3 |
| 364 | People of Iran (Islamic Republic of) (IRN) | 5 |
| 368 | People of Iraq (IRQ) | 4 |
| 422 | People of Lebanon (LBN) | 1 |
| 440 | People of Lithuania (LTU) | 1 |
| 484 | People of Mexico (MEX) | 1 |
| 504 | People of Morocco (MAR) | 1 |
| 608 | People of Philippines (PHL) | 1 |
| 616 | People of Poland (POL) | 2 |
| 620 | People of Portugal (PRT) | 1 |
| 642 | People of Romania (ROU) | 1 |
| 643 | People of Russian Federation (RUS) | 2 |
| 686 | People of Senegal (SEN) | 1 |
| 706 | People of Somalia (SOM) | 1 |
| 752 | People of Sweden (SWE) | 1058 |
| 760 | People of Syrian Arab Republic (SYR) | 4 |
| 764 | People of Thailand (THA) | 1 |
| 792 | People of Turkey (TUR) | 2 |
| 804 | People of Ukraine (UKR) | 1 |
| 9710 | Asia - No Country (Geographical Area) | 1 |
| 9990 | Kurds | 2 |
| 9992 | Scandinavia - No Country (Geographical Area) | 1 |
| 9993 | Europe - No Country (Geographical Area) | 1 |
| 9995 | The World - No Country (Geographical Area) | 5 |
| 0 | NAP, other countries | 47580 |
| 9997 | Three or more groups mentioned | 4 |
| 9999 | No answer | 18 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1118 | 47602 | 4 | 9995 |
Valid range from 4 to 9995
SE_ETHN2 Country specific ethnic group 2: Sweden
| Value 258138 | Frequency | |
|---|---|---|
| 36 | People of Australia (AUS) | 1 |
| 70 | People of Bosnia and Herzegowina (BIH) | 4 |
| 76 | People of Brazil (BRA) | 1 |
| 152 | People of Chile (CHL) | 2 |
| 156 | People of China (CHN) | 1 |
| 191 | People of Croatia (local name: Hrvatska) (HRV) | 1 |
| 208 | People of Denmark (DNK) | 2 |
| 222 | People of El Salvador (SLV) | 1 |
| 246 | People of Finland (FIN) | 13 |
| 275 | People of Palestinian Territory, Occupied (PSE) | 3 |
| 276 | People of Germany (DEU) | 2 |
| 300 | People of Greece (GRC) | 1 |
| 348 | People of Hungary (HUN) | 1 |
| 352 | People of Iceland (ISL) | 1 |
| 380 | People of Italy (ITA) | 2 |
| 499 | People of Montenegro (MNE) | 1 |
| 528 | People of Netherlands (NLD) | 1 |
| 566 | People of Nigeria (NGA) | 1 |
| 578 | People of Norway (NOR) | 1 |
| 616 | People of Poland (POL) | 4 |
| 688 | People of Serbia (SRB) | 1 |
| 756 | People of Switzerland (CHE) | 1 |
| 760 | People of Syrian Arab Republic (SYR) | 2 |
| 764 | People of Thailand (THA) | 1 |
| 840 | People of United States (USA) | 2 |
| 9702 | Skane - No Country (Geographical Area in Sweden) | 1 |
| 9703 | Norrbotten - No Country (Geographical Area in Sweden) | 1 |
| 9987 | Sami | 1 |
| 9988 | Jews | 1 |
| 9990 | Kurds | 2 |
| 9991 | Africa - No Country (Geographical Area) | 1 |
| 9993 | Europe - No Country (Geographical Area) | 1 |
| 9995 | The World - No Country (Geographical Area) | 8 |
| 0 | NAP, other countries | 47580 |
| 9996 | Non-classifiable groups | 1 |
| 9997 | Three or more groups mentioned | 4 |
| 9998 | No second group belonging | 1050 |
| 9999 | No answer | 18 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 67 | 48653 | 36 | 9995 |
Valid range from 36 to 9995
SI_ETHN1 Country specific ethnic group 1: Slovenia
| Value 259137 | Frequency | |
|---|---|---|
| 1 | Slovenian | 959 |
| 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 | 47696 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1024 | 47696 | 1 | 13 |
Valid range from 1 to 13
SI_ETHN2 Country specific ethnic group 2: Slovenia
| Value 260136 | 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 | 47696 |
| 97 | Refused | 2 |
| 99 | No answer, no second group | 965 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 57 | 48663 | 1 | 13 |
Valid range from 1 to 13
SK_ETHN1 Country specific ethnic group 1: Slovakia
| Value 261135 | Frequency | |
|---|---|---|
| 1 | Slovak | 1027 |
| 2 | Hungarian | 107 |
| 3 | Roma | 13 |
| 4 | Czech | 2 |
| 0 | NAP, other countries | 47570 |
| 97 | Refused | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1149 | 47571 | 1 | 4 |
Valid range from 1 to 4
SK_ETHN2 Country specific ethnic group 2: Slovakia
| Value 262134 | Frequency | |
|---|---|---|
| 1 | Slovak | 0 |
| 2 | Hungarian | 3 |
| 3 | Roma | 2 |
| 4 | Czech | 1 |
| 0 | NAP, other countries | 47570 |
| 97 | Refused | 1 |
| 99 | No second answer | 1143 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 6 | 48714 | 2 | 4 |
Valid range from 1 to 4
SR_ETHN1 Country specific ethnic group 1: Suriname
| Value 263133 | Frequency | |
|---|---|---|
| 1 | Creole | 221 |
| 2 | Hindustani | 384 |
| 3 | Javanese | 147 |
| 4 | Marroon | 301 |
| 5 | Native | 23 |
| 6 | Chinese | 5 |
| 7 | Mixed | 171 |
| 8 | Other | 9 |
| 0 | NAP, other countries | 47447 |
| 99 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1261 | 47459 |
Valid range from 1 to 8
SR_ETHN2 Country specific ethnic group 2: Suriname
| Value 264132 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
TH_ETHN1 Country specific ethnic group 1: Thailand
| Value 265131 | Frequency | |
|---|---|---|
| 1 | Thai | 1241 |
| 2 | Chinese | 3 |
| 3 | Malayu | 22 |
| 4 | Indian | 0 |
| 5 | Mon | 6 |
| 6 | Laos | 140 |
| 7 | Tribes | 34 |
| 8 | Others | 3 |
| 0 | NAP, other countries | 47245 |
| 97 | Refused | 14 |
| 99 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1449 | 47271 | 1 | 8 |
Valid range from 1 to 8
TH_ETHN2 Country specific ethnic group 2: Thailand
| Value 266130 | Frequency | |
|---|---|---|
| 2 | Chinese | 16 |
| 3 | Malayu | 32 |
| 5 | Mon | 1 |
| 6 | Laos | 91 |
| 7 | Tribes | 29 |
| 8 | Others | 1 |
| 0 | NAP, other countries | 47245 |
| 99 | No answer, no second group | 1305 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 170 | 48550 | 2 | 8 |
Valid range from 2 to 8
TR_ETHN1 Country specific ethnic group 1: Turkey
| Value 267129 | Frequency | |
|---|---|---|
| 1 | Turkish | 1291 |
| 2 | Kurdish | 188 |
| 4 | Circassian | 2 |
| 6 | Arab | 22 |
| 7 | Roma/ Gypsy | 2 |
| 8 | Bosnian | 3 |
| 90 | Other | 14 |
| 0 | NAP, other countries | 47185 |
| 99 | No answer | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1522 | 47198 |
Valid range from 1 to 90
TR_ETHN2 Country specific ethnic group 2: Turkey
| Value 268128 | Frequency | |
|---|---|---|
| 1 | Turkish | 84 |
| 2 | Kurdish | 92 |
| 3 | Laz | 36 |
| 4 | Circassian | 11 |
| 5 | Georgian | 7 |
| 6 | Arab | 22 |
| 7 | Roma/ Gypsy | 7 |
| 8 | Bosnian | 8 |
| 90 | Other | 30 |
| 0 | NAP, other countries | 47185 |
| 99 | No answer, no second ethnic group | 1238 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 297 | 48423 |
Valid range from 1 to 90
TW_ETHN1 Country specific ethnic group 1: Taiwan
| Value 269127 | Frequency | |
|---|---|---|
| 1 | Fukienese | 1506 |
| 2 | Hakka of Taiwan | 242 |
| 3 | Mainlander | 112 |
| 4 | Aborigine | 39 |
| 5 | South-East Asia | 14 |
| 6 | Other | 48 |
| 0 | NAP, other countries | 46754 |
| 97 | Refused | 1 |
| 98 | Don't know | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1961 | 46759 |
Valid range from 1 to 6
TW_ETHN2 Country specific ethnic group 2: Taiwan
| Value 270126 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
US_ETHN1 Country specific ethnic group 1: United States
| Value 271125 | Frequency | |
|---|---|---|
| 1 | Africa | 124 |
| 2 | Austria | 0 |
| 3 | French Canada | 14 |
| 4 | Other Canada | 12 |
| 5 | China | 14 |
| 6 | Czechoslovakia | 11 |
| 7 | Denmark | 6 |
| 8 | England & Wales | 115 |
| 9 | Finland | 7 |
| 10 | France | 18 |
| 11 | Germany | 182 |
| 12 | Greece | 8 |
| 13 | Hungary | 6 |
| 14 | Ireland | 139 |
| 15 | Italy | 80 |
| 16 | Japan | 2 |
| 17 | Mexico | 100 |
| 18 | Netherlands | 16 |
| 19 | Norway | 18 |
| 20 | Philippines | 12 |
| 21 | Poland | 47 |
| 22 | Puerto Rico | 15 |
| 23 | Russia | 18 |
| 24 | Scotland | 39 |
| 25 | Spain | 14 |
| 26 | Sweden | 11 |
| 27 | Switzerland | 12 |
| 28 | West Indies | 4 |
| 29 | Other | 7 |
| 30 | American Indian | 74 |
| 31 | India | 16 |
| 32 | Portugal | 9 |
| 33 | Lithuania | 5 |
| 34 | Yugoslavia | 5 |
| 35 | Romania | 1 |
| 36 | Belgium | 3 |
| 37 | Arabic | 7 |
| 38 | Other Spanish | 30 |
| 39 | Non-Span Windies | 11 |
| 40 | Other Asian | 13 |
| 41 | Other European | 4 |
| 96 | American only | 30 |
| 0 | NAP, other countries | 47330 |
| 98 | Don't know | 128 |
| 99 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1259 | 47461 | 1 | 96 |
Valid range from 1 to 96
US_ETHN2 Country specific ethnic group 2: United States
| Value 272124 | Frequency | |
|---|---|---|
| 1 | Africa | 14 |
| 2 | Austria | 6 |
| 3 | French Canada | 5 |
| 4 | Other Canada | 7 |
| 5 | China | 0 |
| 6 | Czechoslovakia | 13 |
| 7 | Denmark | 4 |
| 8 | England & Wales | 84 |
| 9 | Finland | 2 |
| 10 | France | 30 |
| 11 | Germany | 91 |
| 12 | Greece | 0 |
| 13 | Hungary | 2 |
| 14 | Ireland | 114 |
| 15 | Italy | 20 |
| 16 | Japan | 1 |
| 17 | Mexico | 6 |
| 18 | Netherlands | 10 |
| 19 | Norway | 16 |
| 20 | Philippines | 0 |
| 21 | Poland | 25 |
| 22 | Puerto Rico | 4 |
| 23 | Russia | 11 |
| 24 | Scotland | 45 |
| 25 | Spain | 12 |
| 26 | Sweden | 12 |
| 27 | Switzerland | 4 |
| 28 | West Indies | 2 |
| 29 | Other | 1 |
| 30 | American Indian | 38 |
| 31 | India | 1 |
| 32 | Portugal | 2 |
| 33 | Lithuania | 3 |
| 36 | Belgium | 2 |
| 37 | Arabic | 1 |
| 38 | Other Spanish | 9 |
| 39 | Non-Span Windies | 2 |
| 40 | Other Asian | 4 |
| 41 | Other European | 3 |
| 96 | American only | 2 |
| 0 | NAP, other countries | 47330 |
| 99 | No answer, no second country | 782 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 608 | 48112 | 1 | 96 |
Valid range from 1 to 96
VE_ETHN1 Country specific ethnic group 1: Venezuela
| Value 273123 | Frequency | |
|---|---|---|
| 1 | White | 413 |
| 2 | Mestizo (mixed race) | 253 |
| 3 | Mulatto (not offensive) | 314 |
| 4 | Black | 47 |
| 5 | Indigenous | 6 |
| 6 | Other | 5 |
| 0 | NAP, other countries | 47675 |
| 99 | No answer | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1038 | 47682 |
Valid range from 1 to 6
VE_ETHN2 Country specific ethnic group 2: Venezuela
| Value 274122 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
ZA_ETHN1 Country specific ethnic group 1: South Africa
| Value 275121 | Frequency | |
|---|---|---|
| 1 | Black African | 1872 |
| 2 | Coloured | 495 |
| 3 | Indian/Asian | 348 |
| 4 | White | 348 |
| 0 | NAP, other countries | 45657 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 3063 | 45657 |
Valid range from 1 to 4
ZA_ETHN2 Country specific ethnic group 2: South Africa
| Value 276120 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48720 |
HOMPOP How many persons in household
| Value 277119 | Frequency | |
|---|---|---|
| 1 | One person (only respondent) | 7387 |
| 2 | Two persons | 13723 |
| 3 | Three persons | 8822 |
| 4 | Four persons | 8628 |
| 5 | Five persons | 4379 |
| 6 | Six persons | 2093 |
| 7 | Seven persons | 981 |
| 8 | Eight persons | 540 |
| 9 | Nine persons | 326 |
| 10 | Ten persons | 201 |
| 11 | Eleven persons | 106 |
| 12 | Twelve persons | 67 |
| 13 | Thirteen persons; DK: Thirteen persons or more | 32 |
| 14 | Fourteen persons | 18 |
| 15 | Fifteen persons | 11 |
| 16 | Sixteen persons | 10 |
| 17 | Seventeen persons | 3 |
| 18 | Eighteen persons | 4 |
| 19 | Nineteen persons | 3 |
| 20 | Twenty persons | 2 |
| 21 | Twenty-one persons | 2 |
| 22 | Twenty-two persons | 3 |
| 27 | Twenty-seven persons | 1 |
| 0 | Not a private household | 92 |
| 99 | No answer | 1286 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47342 | 1378 | 1 | 27 |
Valid range from 1 to 27
HHCHILDR How many children in household: children between [school age] and 17 years of age
| Value 278118 | Frequency | |
|---|---|---|
| 0 | No children | 31579 |
| 1 | One child | 7622 |
| 2 | Two children | 4887 |
| 3 | Three children | 1383 |
| 4 | Four children | 368 |
| 5 | Five children | 116 |
| 6 | Six children | 42 |
| 7 | Seven children | 12 |
| 8 | Eight children | 5 |
| 11 | Eleven children | 1 |
| 13 | Thirteen children | 1 |
| 96 | NAP (Code 0 in HOMPOP) | 92 |
| 97 | Refused | 2 |
| 99 | No answer, AU: NA incl. no children | 2610 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46016 | 2704 | 0 | 13 |
Valid range from 0 to 13
HHTODD How many toddlers in household: children up to [school age -1] years
| Value 279117 | Frequency | |
|---|---|---|
| 0 | No toddlers | 35840 |
| 1 | One toddler | 5810 |
| 2 | Two toddlers | 1983 |
| 3 | Three toddlers | 346 |
| 4 | Four toddlers | 49 |
| 5 | Five toddlers | 14 |
| 6 | Six toddlers | 3 |
| 96 | NAP (Code 0 in HOMPOP), NAV (NZ: Toddlers incl. in HHCHILDR) | 1430 |
| 97 | Refused | 3 |
| 99 | No answer, AU: NA incl. no toddlers | 3242 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44045 | 4675 | 0 | 6 |
Valid range from 0 to 6
AU_RINC Country specific personal income: Australia
| Value 280116 | Frequency | |
|---|---|---|
| 0 | No income | 2 |
| 10 | 10 AUD per month, before taxes | 1 |
| 900000 | 900.000 AUD per month, before taxes | 1 |
| 999990 | NAP, other countries | 47453 |
| 999999 | No answer | 393 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 874 | 47846 | 0 | 900000 |
Valid range from 0 to 900000
BE_RINC Country specific personal income: Belgium
| Value 281115 | Frequency | |
|---|---|---|
| 0 | No income | 159 |
| 750 | Up to 750 EUR per month, net | 93 |
| 875 | 750-1.000 EUR | 101 |
| 1125 | 1.000-1.250 EUR | 157 |
| 1375 | 1.250-1.500 EUR | 220 |
| 1625 | 1.500-1.750 EUR | 199 |
| 1875 | 1.750-2.000 EUR | 193 |
| 2125 | 2.000-2.250 EUR | 177 |
| 2375 | 2.250-2.500 EUR | 89 |
| 2750 | 2.500-3.000 EUR | 112 |
| 3250 | 3.000-3.500 EUR | 48 |
| 3750 | 3.500-4.000 EUR | 24 |
| 4500 | 4.000-5.000 EUR | 24 |
| 5000 | More than 5.000 EUR per month, net | 36 |
| 999990 | NAP, other countries | 46768 |
| 999999 | No answer | 320 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1632 | 47088 | 0 | 5000 |
Valid range from 0 to 5000
CH_RINC Country specific personal income: Switzerland
| Value 282114 | Frequency | |
|---|---|---|
| 0 | No income | 45 |
| 800 | Less than 1.200 CHF per month, net | 62 |
| 1550 | 1.200-1.899 CHF | 85 |
| 2300 | 1.900-2.699 CHF | 78 |
| 3250 | 2.700-3.799 CHF | 98 |
| 4200 | 3.800-4.599 CHF | 111 |
| 4950 | 4.600-5.299 CHF | 83 |
| 5800 | 5.300-6.299 CHF | 87 |
| 6900 | 6.300-7.499 CHF | 82 |
| 8600 | 7.500-9.699 CHF | 66 |
| 10550 | 9.700 CHF or more per month, net | 95 |
| 999990 | NAP, other countries | 47654 |
| 999997 | Refused | 93 |
| 999998 | Don't know | 19 |
| 999999 | No answer | 62 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 892 | 47828 | 0 | 10550 |
Valid range from 0 to 10550
CL_RINC Country specific personal income: Chile
| Value 283113 | Frequency | |
|---|---|---|
| 20000 | Less than 35.000 CLP per month, net | 50 |
| 45000 | 35.001-56.000 CLP | 17 |
| 66000 | 56.001-78.000 CLP | 17 |
| 90000 | 78.001-101.000 CLP | 70 |
| 122000 | 101.001-134.000 CLP | 42 |
| 155000 | 134.001-179.000 CLP | 65 |
| 200000 | 179.001-224.000 CLP | 82 |
| 250000 | 224.001-291.000 CLP | 105 |
| 310000 | 291.001-358.000 CLP | 100 |
| 400000 | 358.001-448.000 CLP | 103 |
| 750000 | 448.001-1.000.000 CLP | 123 |
| 1500000 | 1.000.001-2.000.000 CLP | 42 |
| 2500000 | 2.000.001-3.000.000 CLP | 8 |
| 3100000 | More than 3.000.000 CLP per month, net | 3 |
| 9999990 | NAP, other countries | 47304 |
| 9999998 | Don't know | 71 |
| 9999999 | No answer | 518 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 827 | 47893 |
Valid range from 20000 to 3100000
CZ_RINC Country specific personal income: Czech Republic
| Value 284112 | Frequency | |
|---|---|---|
| 0 | No income | 53 |
| 2000 | 2.000 CZK per month, net | 1 |
| 2500 | 2.500/ Up to 4.999 CZK | 10 |
| 6500 | 6.500/ 5000-7.999 CZK | 20 |
| 9000 | 9.000/ 8.000-9.999 CZK | 41 |
| 11000 | 11.000/ 10.000-11.999 CZK | 68 |
| 13000 | 13.000/ 12.000-13.999 CZK | 48 |
| 15000 | 15.000/ 14.000-15.999 CZK | 76 |
| 17000 | 17.000/ 16.000-17.999 CZK | 40 |
| 19000 | 19.000/ 18.000-19.999 CZK | 37 |
| 21500 | 21.500/ 20.000-22.999 CZK | 29 |
| 24500 | 24.500/ 23.000-25.999 CZK | 24 |
| 28000 | 28.000/ 26.000-29.999 CZK | 15 |
| 40000 | 40.000/ 30.000-49.999 CZK | 26 |
| 65000 | 65.000/ 50.000 or more CZK per month, net | 6 |
| 999990 | NAP, other countries | 47320 |
| 999997 | Refused | 365 |
| 999998 | Don't know | 57 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 978 | 47742 | 0 | 65000 |
Valid range from 0 to 65000
DE_RINC Country specific personal income: Germany
| Value 285111 | Frequency | |
|---|---|---|
| 0 | No income | 98 |
| 1 | 1 EUR per month, net | 1 |
| 100 | 100/ Less than 200 EUR | 3 |
| 250 | 250/ 200-299 EUR | 4 |
| 350 | 350/ 300-399 EUR | 7 |
| 450 | 450/ 400-499 EUR | 22 |
| 562 | 562/ 500-624 EUR | 5 |
| 687 | 687/ 625-749 EUR | 11 |
| 812 | 812/ 750-874 EUR | 13 |
| 937 | 937/ 875-999 EUR | 9 |
| 1062 | 1.062/ 1.000-1.124 EUR | 14 |
| 1187 | 1.187/ 1.125-1.249 EUR | 12 |
| 1312 | 1.312/ 1.250-1.374 EUR | 8 |
| 1437 | 1.437/ 1.375-1.499 EUR | 12 |
| 1625 | 1.625/ 1.500-1.749 EUR | 14 |
| 1875 | 1.875/ 1.750-1.999 EUR | 18 |
| 2125 | 2.125/ 2.000-2.249 EUR | 15 |
| 2375 | 2.375/ 2.250-2.499 EUR | 7 |
| 2625 | 2.625/ 2.500-2.749 EUR | 8 |
| 2875 | 2.875/ 2.750-2.999 EUR | 7 |
| 3500 | 3.500/ 3.000-3.999 EUR | 34 |
| 4500 | 4.500/ 4.000-4.999 EUR | 10 |
| 6250 | 6.250/ 5.000-7.499 EUR | 8 |
| 7500 | 7.500/ 7.500 EUR and above | 8 |
| 8000 | 8.000 EUR per month, net | 3 |
| 999990 | NAP, other countries | 47031 |
| 999999 | No answer | 106 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1583 | 47137 | 0 | 8000 |
Valid range from 0 to 8000
DK_RINC Country specific personal income: Denmark
| Value 286110 | Frequency | |
|---|---|---|
| 70000 | Below 100.000 DKK per year, before taxes | 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, before taxes | 64 |
| 999990 | NAP, other countries | 47582 |
| 999999 | No answer | 87 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1051 | 47669 | 70000 | 750000 |
Valid range from 70000 to 750000
ES_RINC Country specific personal income: Spain
| Value 287109 | Frequency | |
|---|---|---|
| 0 | No income | 341 |
| 250 | 300 EUR per month or less, gross | 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, gross | 6 |
| 999990 | NAP, other countries | 46886 |
| 999998 | Don't know | 17 |
| 999999 | No answer | 299 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1518 | 47202 | 0 | 7000 |
Valid range from 0 to 7000
FI_RINC Country specific personal income: Finland
| Value 288108 | Frequency | |
|---|---|---|
| 0 | No income | 32 |
| 10 | 10 EUR per month, gross | 1 |
| 65000 | 65.000 EUR per month, gross | 1 |
| 999990 | NAP, other countries | 47534 |
| 999999 | No answer | 80 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1106 | 47614 | 0 | 65000 |
Valid range from 0 to 65000
FR_RINC Country specific personal income: France
| Value 289107 | Frequency | |
|---|---|---|
| 0 | No income | 26 |
| 4 | 4 EUR per month, net | 1 |
| 90000 | 90.000 EUR per month, net | 1 |
| 999990 | NAP, other countries | 47219 |
| 999999 | No answer | 263 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1238 | 47482 | 0 | 90000 |
Valid range from 0 to 90000
GB_RINC Country specific personal income: Great Britain (GB-GBN)
| Value 290106 | Frequency | |
|---|---|---|
| 0 | No income, not in employment | 830 |
| 270 | Less than 430 GBP per month, gross | 41 |
| 590 | 431-780 GBP | 77 |
| 930 | 781-1.100 GBP | 74 |
| 1200 | 1.101-1.300 GBP | 64 |
| 1400 | 1.301-1.600 GBP | 62 |
| 1700 | 1.601-1.800 GBP | 56 |
| 2000 | 1.801-2.200 GBP | 78 |
| 2500 | 2.201-2.700 GBP | 72 |
| 3100 | 2.701-3.600 GBP | 95 |
| 4900 | 3.601 or more GBP per month, gross | 100 |
| 999990 | NAP, other countries | 47157 |
| 999997 | Refused | 9 |
| 999998 | Don't know | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1549 | 47171 |
Valid range from 0 to 4900
GE_RINC Country specific personal income: Georgia
| Value 291105 | Frequency | |
|---|---|---|
| 0 | No income, refused, no answer | 989 |
| 22 | 22 GEL per month, net | 1 |
| 10000 | 10.000 GEL per month, net | 1 |
| 999990 | NAP, other countries | 47233 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1487 | 47233 | 0 | 10000 |
Valid range from 0 to 10000
HR_RINC Country specific personal income: Croatia
| Value 292104 | Frequency | |
|---|---|---|
| 0 | No income | 110 |
| 600 | Up to 1.200 HRK per month, net | 46 |
| 1600 | 1.200-2.000 HRK | 96 |
| 2750 | 2.001-3.500 HRK | 230 |
| 4500 | 3.501-5.500 HRK | 253 |
| 6250 | 5.501-7.000 HRK | 110 |
| 8000 | 7.001-9.000 HRK | 50 |
| 9000 | More than 9.000 HRK per month, net | 41 |
| 999990 | NAP, other countries | 47694 |
| 999997 | Refused | 67 |
| 999998 | Don't know | 9 |
| 999999 | No answer | 14 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 936 | 47784 | 0 | 9000 |
Valid range from 0 to 9000
HU_RINC Country specific personal income: Hungary
| Value 293103 | Frequency | |
|---|---|---|
| 10000 | 10.000 HUF per month, net | 1 |
| 21800 | 1 | |
| 22000 | 2 | |
| 22500 | 1 | |
| 22800 | 12 | |
| 23000 | 1 | |
| 25000 | 1 | |
| 25600 | 1 | |
| 26000 | 3 | |
| 26500 | 1 | |
| 27000 | 2 | |
| 28000 | 2 | |
| 28500 | 1 | |
| 30000 | 8 | |
| 30090 | 1 | |
| 32000 | 1 | |
| 33000 | 1 | |
| 35000 | 4 | |
| 37000 | 1 | |
| 39800 | 1 | |
| 40000 | 3 | |
| 44000 | 1 | |
| 46000 | 2 | |
| 46600 | 1 | |
| 47000 | 1 | |
| 48000 | 2 | |
| 50000 | 14 | |
| 51000 | 2 | |
| 52000 | 5 | |
| 53000 | 1 | |
| 54000 | 2 | |
| 55000 | 21 | |
| 56000 | 2 | |
| 57000 | 2 | |
| 58000 | 4 | |
| 59000 | 1 | |
| 60000 | 6 | |
| 60100 | 1 | |
| 61400 | 1 | |
| 61800 | 1 | |
| 62000 | 2 | |
| 63000 | 1 | |
| 64000 | 1 | |
| 65000 | 4 | |
| 66000 | 1 | |
| 67000 | 4 | |
| 70000 | 9 | |
| 72000 | 2 | |
| 73000 | 1 | |
| 74000 | 2 | |
| 75000 | 11 | |
| 77000 | 2 | |
| 78000 | 3 | |
| 79000 | 2 | |
| 79900 | 1 | |
| 80000 | 19 | |
| 81000 | 1 | |
| 82000 | 4 | |
| 83000 | 1 | |
| 84000 | 1 | |
| 85000 | 54 | |
| 86000 | 3 | |
| 86340 | 1 | |
| 87000 | 2 | |
| 88000 | 5 | |
| 89000 | 8 | |
| 90000 | 24 | |
| 91000 | 3 | |
| 92000 | 1 | |
| 93460 | 1 | |
| 95000 | 7 | |
| 95600 | 1 | |
| 96000 | 2 | |
| 97000 | 5 | |
| 98000 | 5 | |
| 100000 | 36 | |
| 102000 | 3 | |
| 105000 | 4 | |
| 106000 | 1 | |
| 108000 | 4 | |
| 109000 | 1 | |
| 110000 | 30 | |
| 111000 | 1 | |
| 114000 | 1 | |
| 115000 | 3 | |
| 116000 | 1 | |
| 116350 | 1 | |
| 117000 | 1 | |
| 117210 | 1 | |
| 117350 | 1 | |
| 119650 | 1 | |
| 120000 | 25 | |
| 123000 | 1 | |
| 124500 | 1 | |
| 125000 | 59 | |
| 126000 | 1 | |
| 128000 | 1 | |
| 128600 | 1 | |
| 130000 | 12 | |
| 132000 | 2 | |
| 134000 | 2 | |
| 135000 | 10 | |
| 136000 | 1 | |
| 137000 | 1 | |
| 140000 | 18 | |
| 142000 | 3 | |
| 144000 | 1 | |
| 145000 | 5 | |
| 148000 | 2 | |
| 149000 | 1 | |
| 149700 | 1 | |
| 150000 | 17 | |
| 152000 | 3 | |
| 153600 | 1 | |
| 155000 | 2 | |
| 156000 | 1 | |
| 160000 | 6 | |
| 162000 | 1 | |
| 163500 | 2 | |
| 166000 | 1 | |
| 167000 | 1 | |
| 170000 | 6 | |
| 171800 | 1 | |
| 175000 | 45 | |
| 176800 | 1 | |
| 180000 | 9 | |
| 185000 | 1 | |
| 190000 | 3 | |
| 195000 | 1 | |
| 198700 | 1 | |
| 199500 | 1 | |
| 200000 | 15 | |
| 205000 | 1 | |
| 210000 | 4 | |
| 215000 | 1 | |
| 220000 | 2 | |
| 225000 | 1 | |
| 230000 | 3 | |
| 248000 | 1 | |
| 250000 | 22 | |
| 260000 | 1 | |
| 270000 | 2 | |
| 280000 | 2 | |
| 300000 | 3 | |
| 327000 | 1 | |
| 355000 | 1 | |
| 360000 | 1 | |
| 400000 | 400.000 HUF per month, net | 3 |
| 999990 | NAP, other countries | 47720 |
| 999997 | Refused | 245 |
| 999998 | Don't know | 36 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 719 | 48001 |
Valid range from 10000 to 400000
IL_RINC Country specific personal income: Israel
| Value 294102 | 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, other countries | 47472 |
| 999997 | Refused | 179 |
| 999998 | Don't know | 29 |
| 999999 | No answer | 49 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 991 | 47729 | 0 | 19000 |
Valid range from 0 to 19000
IN_RINC Country specific personal income: India
| Value 295101 | Frequency | |
|---|---|---|
| 1500 | Less than 3.000 INR per month, before taxes | 42 |
| 4500 | 3.000-6.000 INR | 260 |
| 8000 | 6.001-10.000 INR | 485 |
| 15000 | 10.001-20.000 INR | 397 |
| 35000 | 20.001-50.000 INR | 169 |
| 75000 | 50.001-100.000 INR per month, before taxes | 7 |
| 999990 | NAP, other countries | 47212 |
| 999997 | Refused | 148 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1360 | 47360 |
Valid range from 1500 to 75000
IS_RINC Country specific personal income: Iceland
| Value 296100 | Frequency | |
|---|---|---|
| 16000 | 16.000 ISK per month, before taxes | 1 |
| 26000 | 1 | |
| 30000 | 2 | |
| 35000 | 1 | |
| 42000 | 1 | |
| 48000 | 1 | |
| 50000 | 1 | |
| 60000 | 1 | |
| 70000 | 1 | |
| 75000 | 4 | |
| 80000 | 4 | |
| 90000 | 1 | |
| 95000 | 1 | |
| 100000 | 6 | |
| 106000 | 1 | |
| 110000 | 2 | |
| 112000 | 1 | |
| 115000 | 1 | |
| 120000 | 7 | |
| 124000 | 1 | |
| 125000 | 1 | |
| 130000 | 3 | |
| 132000 | 1 | |
| 140000 | 3 | |
| 150000 | 6 | |
| 155000 | 1 | |
| 157000 | 1 | |
| 160000 | 1 | |
| 170000 | 2 | |
| 179000 | 1 | |
| 180000 | 7 | |
| 185000 | 1 | |
| 190000 | 5 | |
| 192000 | 1 | |
| 195000 | 1 | |
| 198000 | 1 | |
| 200000 | 28 | |
| 210000 | 3 | |
| 218000 | 1 | |
| 220000 | 7 | |
| 222000 | 1 | |
| 230000 | 10 | |
| 233000 | 1 | |
| 235000 | 1 | |
| 240000 | 8 | |
| 244000 | 1 | |
| 245000 | 2 | |
| 250000 | 30 | |
| 253000 | 1 | |
| 255000 | 1 | |
| 256000 | 1 | |
| 257000 | 1 | |
| 259000 | 1 | |
| 260000 | 12 | |
| 265000 | 1 | |
| 270000 | 7 | |
| 272000 | 1 | |
| 275000 | 1 | |
| 279000 | 1 | |
| 280000 | 9 | |
| 283000 | 1 | |
| 285000 | 1 | |
| 287000 | 1 | |
| 290000 | 4 | |
| 294000 | 1 | |
| 300000 | 26 | |
| 305000 | 1 | |
| 308000 | 1 | |
| 310000 | 5 | |
| 311000 | 1 | |
| 313000 | 1 | |
| 315000 | 2 | |
| 318000 | 1 | |
| 319000 | 1 | |
| 320000 | 10 | |
| 330000 | 11 | |
| 340000 | 6 | |
| 346000 | 1 | |
| 348000 | 1 | |
| 350000 | 33 | |
| 360000 | 7 | |
| 365000 | 1 | |
| 370000 | 1 | |
| 375000 | 1 | |
| 380000 | 3 | |
| 384000 | 1 | |
| 389000 | 1 | |
| 390000 | 5 | |
| 395000 | 1 | |
| 396000 | 1 | |
| 398000 | 1 | |
| 400000 | 34 | |
| 401000 | 1 | |
| 404000 | 1 | |
| 405000 | 1 | |
| 410000 | 3 | |
| 413000 | 1 | |
| 420000 | 3 | |
| 422498 | 1 | |
| 430000 | 4 | |
| 440000 | 5 | |
| 448000 | 1 | |
| 450000 | 31 | |
| 455000 | 2 | |
| 459000 | 1 | |
| 460000 | 1 | |
| 461500 | 1 | |
| 462000 | 1 | |
| 470000 | 2 | |
| 474000 | 1 | |
| 475000 | 2 | |
| 477000 | 1 | |
| 480000 | 6 | |
| 483000 | 1 | |
| 485000 | 2 | |
| 486000 | 1 | |
| 490000 | 2 | |
| 500000 | 47 | |
| 505200 | 1 | |
| 506000 | 1 | |
| 510000 | 1 | |
| 520000 | 5 | |
| 525000 | 3 | |
| 530000 | 2 | |
| 531500 | 1 | |
| 540000 | 5 | |
| 543000 | 1 | |
| 550000 | 33 | |
| 552000 | 1 | |
| 560000 | 4 | |
| 570000 | 2 | |
| 574000 | 1 | |
| 580000 | 5 | |
| 585000 | 1 | |
| 589000 | 1 | |
| 590000 | 1 | |
| 592000 | 1 | |
| 600000 | 43 | |
| 605000 | 1 | |
| 610000 | 1 | |
| 620000 | 1 | |
| 630000 | 1 | |
| 640000 | 3 | |
| 650000 | 16 | |
| 660000 | 3 | |
| 670000 | 1 | |
| 675000 | 1 | |
| 680000 | 2 | |
| 687000 | 1 | |
| 690000 | 1 | |
| 692000 | 1 | |
| 697000 | 1 | |
| 700000 | 32 | |
| 720000 | 1 | |
| 730000 | 4 | |
| 742000 | 1 | |
| 750000 | 20 | |
| 760000 | 1 | |
| 780000 | 4 | |
| 800000 | 27 | |
| 803000 | 1 | |
| 808000 | 1 | |
| 809000 | 1 | |
| 815000 | 1 | |
| 820000 | 1 | |
| 821000 | 1 | |
| 840000 | 1 | |
| 850000 | 13 | |
| 860000 | 3 | |
| 870000 | 3 | |
| 900000 | 12 | |
| 935000 | 1 | |
| 950000 | 5 | |
| 960000 | 1 | |
| 970000 | 1 | |
| 980000 | 1 | |
| 1000000 | 13 | |
| 1040000 | 1 | |
| 1100000 | 2 | |
| 1155000 | 1 | |
| 1200000 | 11 | |
| 1275000 | 1 | |
| 1290000 | 1 | |
| 1300000 | 2 | |
| 1305000 | 1 | |
| 1370000 | 1 | |
| 1400000 | 5 | |
| 1450000 | 1 | |
| 1500000 | 8 | |
| 1600000 | 1 | |
| 1800000 | 1 | |
| 1900000 | 2 | |
| 2000000 | 2 | |
| 2500000 | 2 | |
| 4000000 | 1 | |
| 4900000 | 1 | |
| 6000000 | 6.000.000 ISK per month, before taxes | 1 |
| 9999990 | NAP, other countries | 47398 |
| 9999997 | Refused | 310 |
| 9999999 | No answer | 175 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 837 | 47883 |
Valid range from 16000 to 6000000
JP_RINC Country specific personal income: Japan
| Value 29799 | Frequency | |
|---|---|---|
| 0 | No income | 178 |
| 500000 | Less than 1.000.000 JPY per year, gross | 299 |
| 1500000 | 1.000.000-1.999.999 JPY | 293 |
| 2500000 | 2.000.000-2.999.999 JPY | 261 |
| 3500000 | 3.000.000-3.999.999 JPY | 148 |
| 4500000 | 4.000.000-4.999.999 JPY | 99 |
| 5500000 | 5.000.000-5.999.999 JPY | 66 |
| 6500000 | 6.000.000-6.999.999 JPY | 52 |
| 7500000 | 7.000.000-7.999.999 JPY | 31 |
| 8500000 | 8.000.000-8.999.999 JPY | 29 |
| 9500000 | 9.000.000-9.999.999 JPY | 14 |
| 11000000 | 10.000.000-11.999.999 JPY | 18 |
| 13500000 | 12.000.000-14.999.999 JPY | 6 |
| 20000000 | 15.000.000 JPY and more per year, gross | 12 |
| 99999990 | NAP, other countries | 47109 |
| 99999999 | No answer | 105 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1506 | 47214 | 0 | 20000000 |
Valid range from 0 to 20000000
KR_RINC Country specific personal income: Korea (South)
| Value 29898 | Frequency | |
|---|---|---|
| 0 | No income | 219 |
| 40000 | 40.000 KRW per month, before taxes | 1 |
| 100000 | 4 | |
| 150000 | 4 | |
| 160000 | 12 | |
| 170000 | 1 | |
| 200000 | 41 | |
| 210000 | 1 | |
| 230000 | 1 | |
| 250000 | 2 | |
| 270000 | 1 | |
| 280000 | 1 | |
| 300000 | 25 | |
| 310000 | 1 | |
| 330000 | 1 | |
| 340000 | 1 | |
| 350000 | 4 | |
| 400000 | 19 | |
| 440000 | 1 | |
| 450000 | 7 | |
| 500000 | 39 | |
| 540000 | 2 | |
| 550000 | 3 | |
| 560000 | 2 | |
| 600000 | 14 | |
| 640000 | 1 | |
| 650000 | 6 | |
| 680000 | 1 | |
| 700000 | 11 | |
| 750000 | 5 | |
| 780000 | 1 | |
| 800000 | 17 | |
| 850000 | 1 | |
| 870000 | 1 | |
| 900000 | 7 | |
| 950000 | 1 | |
| 960000 | 1 | |
| 1000000 | 41 | |
| 1010000 | 1 | |
| 1080000 | 1 | |
| 1100000 | 2 | |
| 1120000 | 1 | |
| 1160000 | 1 | |
| 1200000 | 9 | |
| 1250000 | 1 | |
| 1260000 | 1 | |
| 1300000 | 16 | |
| 1320000 | 1 | |
| 1340000 | 1 | |
| 1400000 | 5 | |
| 1440000 | 1 | |
| 1450000 | 1 | |
| 1500000 | 38 | |
| 1600000 | 6 | |
| 1700000 | 5 | |
| 1800000 | 15 | |
| 1900000 | 5 | |
| 2000000 | 79 | |
| 2100000 | 4 | |
| 2150000 | 2 | |
| 2200000 | 9 | |
| 2300000 | 6 | |
| 2330000 | 1 | |
| 2400000 | 4 | |
| 2460000 | 1 | |
| 2500000 | 35 | |
| 2550000 | 1 | |
| 2600000 | 1 | |
| 2700000 | 2 | |
| 2750000 | 3 | |
| 2800000 | 8 | |
| 2900000 | 3 | |
| 3000000 | 60 | |
| 3050000 | 1 | |
| 3200000 | 3 | |
| 3300000 | 1 | |
| 3400000 | 3 | |
| 3500000 | 12 | |
| 3600000 | 1 | |
| 3700000 | 1 | |
| 3800000 | 3 | |
| 3900000 | 2 | |
| 4000000 | 27 | |
| 4100000 | 1 | |
| 4160000 | 1 | |
| 4200000 | 4 | |
| 4300000 | 3 | |
| 4400000 | 1 | |
| 4500000 | 12 | |
| 4600000 | 1 | |
| 4800000 | 6 | |
| 4900000 | 1 | |
| 5000000 | 28 | |
| 5170000 | 1 | |
| 5300000 | 1 | |
| 5500000 | 4 | |
| 5600000 | 2 | |
| 6000000 | 3 | |
| 6300000 | 1 | |
| 6500000 | 4 | |
| 6600000 | 1 | |
| 6660000 | 1 | |
| 6800000 | 1 | |
| 7000000 | 10 | |
| 7500000 | 1 | |
| 8000000 | 2 | |
| 8400000 | 1 | |
| 9000000 | 3 | |
| 9500000 | 3 | |
| 10000000 | 12 | |
| 10140000 | 1 | |
| 10200000 | 1 | |
| 10500000 | 2 | |
| 11000000 | 1 | |
| 13500000 | 1 | |
| 14000000 | 1 | |
| 15000000 | 1 | |
| 18000000 | 1 | |
| 20000000 | 1 | |
| 30000000 | 1 | |
| 83000000 | 83.000.000 KRW per month, before taxes | 1 |
| 99999990 | NAP, other countries | 47669 |
| 99999998 | Don't know | 45 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1006 | 47714 |
Valid range from 0 to 83000000
LT_RINC Country specific personal income: Lithuania
| Value 29997 | Frequency | |
|---|---|---|
| 0 | No income | 63 |
| 19 | 19 EUR per month, net | 1 |
| 40 | 2 | |
| 70 | 1 | |
| 81 | 1 | |
| 100 | 20 | |
| 103 | 1 | |
| 108 | 1 | |
| 110 | 1 | |
| 116 | 1 | |
| 120 | 2 | |
| 130 | 2 | |
| 135 | 1 | |
| 140 | 2 | |
| 145 | 2 | |
| 150 | 12 | |
| 160 | 4 | |
| 162 | 1 | |
| 165 | 1 | |
| 167 | 1 | |
| 168 | 1 | |
| 170 | 7 | |
| 171 | 1 | |
| 176 | 2 | |
| 180 | 7 | |
| 188 | 2 | |
| 190 | 5 | |
| 196 | 1 | |
| 197 | 1 | |
| 198 | 1 | |
| 200 | 33 | |
| 205 | 1 | |
| 207 | 1 | |
| 208 | 2 | |
| 210 | 3 | |
| 211 | 1 | |
| 214 | 1 | |
| 215 | 1 | |
| 220 | 9 | |
| 224 | 1 | |
| 225 | 2 | |
| 226 | 1 | |
| 230 | 12 | |
| 231 | 1 | |
| 240 | 7 | |
| 244 | 1 | |
| 246 | 1 | |
| 250 | 17 | |
| 260 | 10 | |
| 265 | 1 | |
| 270 | 5 | |
| 275 | 1 | |
| 280 | 19 | |
| 289 | 1 | |
| 290 | 9 | |
| 294 | 1 | |
| 296 | 2 | |
| 300 | 72 | |
| 303 | 1 | |
| 305 | 2 | |
| 308 | 1 | |
| 310 | 2 | |
| 319 | 1 | |
| 320 | 11 | |
| 324 | 1 | |
| 330 | 7 | |
| 336 | 1 | |
| 340 | 7 | |
| 345 | 1 | |
| 350 | 33 | |
| 354 | 1 | |
| 360 | 7 | |
| 367 | 1 | |
| 370 | 3 | |
| 375 | 1 | |
| 376 | 1 | |
| 380 | 7 | |
| 385 | 2 | |
| 390 | 2 | |
| 399 | 1 | |
| 400 | 58 | |
| 420 | 6 | |
| 430 | 4 | |
| 435 | 1 | |
| 440 | 2 | |
| 450 | 16 | |
| 460 | 3 | |
| 470 | 1 | |
| 480 | 3 | |
| 490 | 1 | |
| 500 | 48 | |
| 520 | 1 | |
| 540 | 1 | |
| 550 | 5 | |
| 560 | 1 | |
| 590 | 1 | |
| 600 | 31 | |
| 611 | 1 | |
| 636 | 1 | |
| 650 | 4 | |
| 680 | 2 | |
| 700 | 17 | |
| 740 | 1 | |
| 750 | 1 | |
| 770 | 1 | |
| 800 | 20 | |
| 850 | 1 | |
| 870 | 2 | |
| 900 | 6 | |
| 1000 | 17 | |
| 1030 | 1 | |
| 1200 | 3 | |
| 1300 | 2 | |
| 1330 | 1 | |
| 1400 | 1 | |
| 1500 | 2 | |
| 1800 | 1 | |
| 3000 | 1 | |
| 3500 | 3.500 EUR per month, net | 1 |
| 999990 | NAP, other countries | 47714 |
| 999997 | Refused | 276 |
| 999998 | Don't know | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 728 | 47992 |
Valid range from 0 to 3500
LV_RINC Country specific personal income: Latvia
| Value 30096 | Frequency | |
|---|---|---|
| 0 | No income | 52 |
| 11 | 11 EUR per month, before taxes | 1 |
| 5000 | 5.000 EUR per month, before taxes | 1 |
| 999990 | NAP, other countries | 47718 |
| 999997 | Refused | 96 |
| 999998 | Don't know | 73 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 833 | 47887 | 0 | 5000 |
Valid range from 0 to 5000
NO_RINC Country specific personal income: Norway
| Value 30195 | Frequency | |
|---|---|---|
| 64890 | 118.000 NOK or less per year, gross | 63 |
| 170000 | 119.000-221.000 NOK | 91 |
| 258000 | 222.000-294.000 NOK | 105 |
| 325000 | 295.000-355.000 NOK | 108 |
| 386500 | 356.000-417.000 NOK | 128 |
| 446000 | 418.000-474.000 NOK | 127 |
| 505500 | 475.000-536.000 NOK | 148 |
| 585000 | 537.000-633.000 NOK | 148 |
| 728500 | 634.000-823.000 NOK | 117 |
| 1149559 | 824.000 NOK or more per year, gross | 106 |
| 9999990 | NAP, other countries | 47460 |
| 9999998 | Don't know | 52 |
| 9999999 | No answer | 67 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1141 | 47579 | 64890 | 1149559 |
Valid range from 64890 to 1149559
NZ_RINC Country specific personal income: New Zealand
| Value 30294 | Frequency | |
|---|---|---|
| 0 | Loss/ Zero income | 48 |
| 2500 | 1-5.000 NZD per year, before taxes | 50 |
| 7500 | 5.001-10.000 NZD | 46 |
| 12500 | 10.001-15.000 NZD | 73 |
| 17500 | 15.001-20.000 NZD | 89 |
| 22500 | 20.001-25.000 NZD | 99 |
| 27500 | 25.001-30.000 NZD | 85 |
| 32500 | 30.001-35.000 NZD | 58 |
| 37500 | 35.001-40.000 NZD | 69 |
| 45000 | 40.001-50.000 NZD | 106 |
| 55000 | 50.001-60.000 NZD | 131 |
| 65000 | 60.001-70.000 NZD | 92 |
| 85000 | 70.001-100.000 NZD | 159 |
| 125000 | 100.001-150.000 NZD | 74 |
| 150000 | 150.001 or more NZD per year, before taxes | 51 |
| 999990 | NAP, other countries | 47370 |
| 999999 | No answer | 120 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1230 | 47490 | 0 | 150000 |
Valid range from 0 to 150000
PH_RINC Country specific personal income: Philippines
| Value 30393 | Frequency | |
|---|---|---|
| 0 | No income | 428 |
| 200 | 200 PHP per month, before taxes | 1 |
| 210000 | 210.000 PHP per month, before taxes | 1 |
| 999990 | NAP, other countries | 47520 |
| 999997 | Refused | 28 |
| 999998 | Don't know | 5 |
| 999999 | No answer | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1165 | 47555 | 0 | 210000 |
Valid range from 0 to 210000
RU_RINC Country specific personal income: Russia
| Value 30492 | Frequency | |
|---|---|---|
| 0 | No income | 106 |
| 300 | 300 RUB per month, net | 1 |
| 150000 | 150.000 RUB per month, net | 2 |
| 999990 | NAP, other countries | 47144 |
| 999997 | Refused | 304 |
| 999998 | Don't know | 206 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1066 | 47654 | 0 | 150000 |
Valid range from 0 to 150000
SE_RINC Country specific personal income: Sweden
| Value 30591 | Frequency | |
|---|---|---|
| 1050 | 1.050 SEK per month, before taxes | 2 |
| 630770 | 630.770 SEK per month, before taxes | 1 |
| 999990 | NAP, other countries | 47580 |
| 999999 | No answer | 105 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1035 | 47685 | 1050 | 630770 |
Valid range from 1050 to 630770
SI_RINC Country specific personal income: Slovenia
| Value 30690 | Frequency | |
|---|---|---|
| 0 | No income | 90 |
| 60 | 60 EUR per month, net | 1 |
| 5000 | 5.000 EUR per month, net | 1 |
| 999990 | NAP, other countries | 47696 |
| 999997 | Refused | 169 |
| 999998 | Don't know | 38 |
| 999999 | No answer | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 811 | 47909 | 0 | 5000 |
Valid range from 0 to 5000
SK_RINC Country specific personal income: Slovakia
| Value 30789 | Frequency | |
|---|---|---|
| 75 | Up to 150 EUR per month, net | 61 |
| 225 | 151-300 EUR | 70 |
| 375 | 301-450 EUR | 227 |
| 525 | 451-600 EUR | 168 |
| 675 | 601-750 EUR | 108 |
| 825 | 751-900 EUR | 71 |
| 1050 | 901-1.200 EUR | 37 |
| 1350 | 1.201-1.500 EUR | 22 |
| 1750 | 1.501-2.000 EUR | 8 |
| 2500 | 2.001-3.000 EUR | 5 |
| 3500 | More than 3.000 EUR per month, net | 1 |
| 999990 | NAP, other countries | 47570 |
| 999998 | Don't know | 34 |
| 999999 | No answer | 338 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 778 | 47942 | 75 | 3500 |
Valid range from 75 to 3500
SR_RINC Country specific personal income: Suriname
| Value 30888 | Frequency | |
|---|---|---|
| 0 | No income | 146 |
| 250 | Less than 500 SRD per month, net | 75 |
| 675 | 500-749 SRD | 137 |
| 825 | 750-999 SRD | 87 |
| 1125 | 1.000-1.249 SRD | 95 |
| 1375 | 1.250-1.499 SRD | 80 |
| 1625 | 1.500-1.749 SRD | 50 |
| 1875 | 1.750-1.999 SRD | 92 |
| 2500 | 2.000-2.999 SRD | 140 |
| 3500 | 3.000-3.999 SRD | 52 |
| 4500 | 4.000 SRD or more per month, net | 73 |
| 999990 | NAP, all other countries | 47447 |
| 999998 | Don't know | 138 |
| 999999 | No answer | 108 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1027 | 47693 | 0 | 4500 |
Valid range from 0 to 4500
TH_RINC Country specific personal income: Thailand
| Value 30987 | Frequency | |
|---|---|---|
| 0 | No income | 226 |
| 200 | 200 THB per month, before taxes | 1 |
| 150000 | 150.000 THB per month, before taxes | 1 |
| 999990 | NAP, other countries | 47245 |
| 999997 | Refused | 318 |
| 999998 | Don't know | 238 |
| 999999 | No answer | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 900 | 47820 | 0 | 150000 |
Valid range from 0 to 150000
TR_RINC Country specific personal income: Turkey
| Value 31086 | Frequency | |
|---|---|---|
| 0 | No income | 409 |
| 50 | 50 TRY per month, gross | 1 |
| 25000 | 25.000 TRY per month, gross | 1 |
| 999990 | NAP, other countries | 47185 |
| 999999 | No answer | 217 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1318 | 47402 | 0 | 25000 |
Valid range from 0 to 25000
TW_RINC Country specific personal income: Taiwan
| Value 31185 | Frequency | |
|---|---|---|
| 0 | No income | 130 |
| 5000 | Up to 10.000 TWD per month, before taxes | 310 |
| 15000 | 10.001-20.000 TWD | 246 |
| 25000 | 20.001-30.000 TWD | 353 |
| 35000 | 30.001-40.000 TWD | 288 |
| 45000 | 40.001-50.000 TWD | 210 |
| 55000 | 50.001-60.000 TWD | 114 |
| 65000 | 60.001-70.000 TWD | 58 |
| 75000 | 70.001-80.000 TWD | 49 |
| 85000 | 80.001-90.000 TWD | 28 |
| 95000 | 90.001-100.000 TWD | 15 |
| 105000 | 100.001-110.000 TWD | 23 |
| 115000 | 110.001-120.000 TWD | 12 |
| 125000 | 120.001-130.000 TWD | 2 |
| 135000 | 130.001-140.000 TWD | 5 |
| 145000 | 140.001-150.000 TWD | 4 |
| 155000 | 150.001-160.000 TWD | 2 |
| 165000 | 160.001-170.000 TWD | 0 |
| 175000 | 170.001-180.000 TWD | 2 |
| 185000 | 180.001-190.000 TWD | 0 |
| 195000 | 190.001-200.000 TWD | 1 |
| 250000 | 200.001-300.000 TWD | 12 |
| 350000 | More than 300.000 TWD per month, before taxes | 7 |
| 999990 | NAP, other countries | 46754 |
| 999997 | Refused | 72 |
| 999998 | Don't know | 23 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1871 | 46849 |
Valid range from 0 to 350000
US_RINC Country specific personal income: United States
| Value 31284 | Frequency | |
|---|---|---|
| 0 | No income, currently not working and never worked for as lon | 561 |
| 500 | Under 1.000 USD per year, before taxes | 9 |
| 2000 | 1.000-2.999 USD | 26 |
| 3500 | 3.000-3.999 USD | 23 |
| 4500 | 4.000-4.999 USD | 19 |
| 5500 | 5.000-5.999 USD | 20 |
| 6500 | 6.000-6.999 USD | 13 |
| 7500 | 7.000-7.999 USD | 11 |
| 9000 | 8.000-9.999 USD | 14 |
| 11250 | 10.000-12.499 USD | 26 |
| 13750 | 12.500-14.999 USD | 15 |
| 16750 | 15.000-17.499 USD | 26 |
| 18750 | 17.500-19.999 USD | 23 |
| 21750 | 20.000-22.499 USD | 36 |
| 23750 | 22.500-24.999 USD | 31 |
| 27500 | 25.000-29.999 USD | 49 |
| 32500 | 30.000-34.999 USD | 64 |
| 37500 | 35.000-39.999 USD | 44 |
| 45000 | 40.000-49.999 USD | 66 |
| 55000 | 50.000-59.999 USD | 70 |
| 67500 | 60.000-74.999 USD | 61 |
| 82500 | 75.000-89.999 USD | 36 |
| 100000 | 90.000-109.999 USD | 34 |
| 120000 | 110.000-129.999 USD | 19 |
| 140000 | 130.000-149.999 USD | 12 |
| 160000 | 150.000-169.999 USD | 8 |
| 180000 | 170.000 USD or more per year, before taxes | 24 |
| 999990 | NAP, other countries | 47330 |
| 999997 | Refused | 42 |
| 999998 | Don't know | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1340 | 47380 | 0 | 180000 |
Valid range from 0 to 180000
VE_RINC Country specific personal income: Venezuela
| Value 31383 | Frequency | |
|---|---|---|
| 2200 | 2.200 VEF per month | 1 |
| 2500 | 1 | |
| 5000 | 6 | |
| 6000 | 1 | |
| 6500 | 1 | |
| 7000 | 1 | |
| 8000 | 1 | |
| 10000 | 9 | |
| 12000 | 2 | |
| 13000 | 1 | |
| 14000 | 1 | |
| 15000 | 13 | |
| 16000 | 2 | |
| 18000 | 1 | |
| 19000 | 1 | |
| 20000 | 32 | |
| 22000 | 30 | |
| 22500 | 25 | |
| 22576 | 5 | |
| 22577 | 1 | |
| 22750 | 4 | |
| 23000 | 3 | |
| 23500 | 1 | |
| 24000 | 1 | |
| 25000 | 25 | |
| 26000 | 2 | |
| 27091 | 2 | |
| 28000 | 2 | |
| 29000 | 1 | |
| 30000 | 57 | |
| 32000 | 6 | |
| 33180 | 1 | |
| 34000 | 1 | |
| 35000 | 16 | |
| 36000 | 2 | |
| 37800 | 1 | |
| 38000 | 3 | |
| 40000 | 44 | |
| 42000 | 9 | |
| 44000 | 3 | |
| 45000 | 19 | |
| 45800 | 1 | |
| 46500 | 1 | |
| 48000 | 6 | |
| 50000 | 48 | |
| 54000 | 2 | |
| 55000 | 5 | |
| 56000 | 1 | |
| 60000 | 65 | |
| 62000 | 5 | |
| 63000 | 3 | |
| 65000 | 56 | |
| 66000 | 3 | |
| 68000 | 1 | |
| 70000 | 51 | |
| 73000 | 1 | |
| 75000 | 9 | |
| 78000 | 1 | |
| 80000 | 40 | |
| 90000 | 22 | |
| 96000 | 2 | |
| 96200 | 1 | |
| 100000 | 24 | |
| 110000 | 1 | |
| 115000 | 1 | |
| 120000 | 11 | |
| 125000 | 1 | |
| 130000 | 4 | |
| 140000 | 4 | |
| 150000 | 10 | |
| 152000 | 1 | |
| 160000 | 1 | |
| 170000 | 1 | |
| 180000 | 1 | |
| 190000 | 1 | |
| 200000 | 11 | |
| 220000 | 1 | |
| 250000 | 1 | |
| 300000 | 2 | |
| 400000 | 1 | |
| 460000 | 1 | |
| 650000 | 650.000 VEF per month | 1 |
| 999990 | NAP, other countries | 47675 |
| 999999 | No answer | 304 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 741 | 47979 |
Valid range from 2200 to 650000
ZA_RINC Country specific personal income: South Africa
| Value 31482 | Frequency | |
|---|---|---|
| 0 | No income | 666 |
| 250 | 1-500 ZAR per month, before taxes | 237 |
| 625 | 501-750 ZAR | 117 |
| 875 | 751-1.000 ZAR | 128 |
| 1250 | 1.001-1.500 ZAR | 406 |
| 1750 | 1.501-2.000 ZAR | 226 |
| 2500 | 2.001-3.000 ZAR | 144 |
| 4000 | 3.001-5.000 ZAR | 158 |
| 6250 | 5.001-7.500 ZAR | 90 |
| 8750 | 7.501-10.000 ZAR | 77 |
| 12500 | 10.001-15.000 ZAR | 68 |
| 17500 | 15.001-20.000 ZAR | 51 |
| 25000 | 20.001-30.000 ZAR | 41 |
| 40000 | 30.001-50.000 ZAR | 19 |
| 60000 | More than 50.000 ZAR per month | 10 |
| 999990 | NAP, other countries | 45657 |
| 999997 | Refused | 451 |
| 999998 | Don't know | 100 |
| 999999 | No answer | 74 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2438 | 46282 |
Valid range from 0 to 60000
AU_INC Country specific household income: Australia
| Value 31581 | Frequency | |
|---|---|---|
| 0 | No income | 2 |
| 55 | 55 AUD per month, before taxes | 1 |
| 1800000 | 1.800.000 AUD per month, before taxes | 1 |
| 9999990 | NAP, other countries | 47453 |
| 9999999 | No answer | 394 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 873 | 47847 | 0 | 1800000 |
Valid range from 0 to 1800000
BE_INC Country specific household income: Belgium
| Value 31680 | Frequency | |
|---|---|---|
| 0 | No income | 33 |
| 750 | Up to 750 EUR per month, net | 24 |
| 875 | 750-1.000 EUR | 24 |
| 1125 | 1.000-1.250 EUR | 54 |
| 1375 | 1.250-1.500 EUR | 71 |
| 1625 | 1.500-1.750 EUR | 76 |
| 1875 | 1.750-2.000 EUR | 108 |
| 2125 | 2.000-2.250 EUR | 107 |
| 2375 | 2.250-2.500 EUR | 94 |
| 2750 | 2.500-3.000 EUR | 182 |
| 3250 | 3.000-3.500 EUR | 165 |
| 3750 | 3.500-4.000 EUR | 154 |
| 4500 | 4.000-5.000 EUR | 161 |
| 5000 | More than 5.000 EUR per month, net | 158 |
| 999990 | NAP, other countries | 46768 |
| 999999 | No answer | 541 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1411 | 47309 | 0 | 5000 |
Valid range from 0 to 5000
CH_INC Country specific household income: Switzerland
| Value 31779 | Frequency | |
|---|---|---|
| 0 | No income | 9 |
| 1600 | Less than 2.700 CHF per month, net | 47 |
| 3400 | 2.700-4.099 CHF | 96 |
| 4700 | 4.100-5.299 CHF | 85 |
| 5800 | 5.300-6.299 CHF | 93 |
| 6900 | 6.300-7.499 CHF | 98 |
| 8200 | 7.500-8.899 CHF | 82 |
| 9700 | 8.900-10.499 CHF | 100 |
| 11500 | 10.500-12.499 CHF | 79 |
| 14350 | 12.500-16.199 CHF | 72 |
| 17700 | 16.200 CHF or more per month, net | 72 |
| 999990 | NAP, other countries | 47654 |
| 999997 | Refused | 101 |
| 999998 | Don't know | 68 |
| 999999 | No answer | 64 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 833 | 47887 | 0 | 17700 |
Valid range from 0 to 17700
CL_INC Country specific household income: Chile
| Value 31878 | Frequency | |
|---|---|---|
| 20000 | Less than 35.000 CLP per month, net | 7 |
| 45000 | 35.001-56.000 CLP | 5 |
| 66000 | 56.001-78.000 CLP | 5 |
| 90000 | 78.001-101.000 CLP | 39 |
| 122000 | 101.001-134.000 CLP | 31 |
| 155000 | 134.001-179.000 CLP | 54 |
| 200000 | 179.001-224.000 CLP | 82 |
| 250000 | 224.001-291.000 CLP | 85 |
| 310000 | 291.001-358.000 CLP | 116 |
| 400000 | 358.001-448.000 CLP | 139 |
| 750000 | 448.001-1.000.000 CLP | 180 |
| 1500000 | 1.000.001-2.000.000 CLP | 69 |
| 2500000 | 2.000.001-3.000.000 CLP | 21 |
| 3100000 | More than 3.000.000 CLP per month | 6 |
| 9999990 | NAP, other countries | 47304 |
| 9999998 | Don't know | 74 |
| 9999999 | No answer | 503 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 839 | 47881 |
Valid range from 20000 to 3100000
CZ_INC Country specific household income: Czech Republic
| Value 31977 | Frequency | |
|---|---|---|
| 0 | No income | 4 |
| 2500 | Less than 5.000 CZK per month, net | 5 |
| 6500 | 5.000-7.999 CZK | 13 |
| 9000 | 8.000-9.999 CZK | 38 |
| 11000 | 10.000-11.999 CZK | 53 |
| 13000 | 12.000-13.999 CZK | 45 |
| 15000 | 14.000-15.999 CZK | 31 |
| 17000 | 16.000-17.999 CZK | 26 |
| 19000 | 18.000-19.999 CZK | 43 |
| 21500 | 20.000-22.999 CZK | 77 |
| 24500 | 23.000-25.999 CZK | 91 |
| 28000 | 26.000-29.999 CZK | 70 |
| 32500 | 30.000-34.999 CZK | 70 |
| 37500 | 35.000-39.999 CZK | 71 |
| 45000 | 40.000-49.999 CZK | 77 |
| 62500 | 50.000-74.999 CZK | 66 |
| 65000 | 50.000 CZK or more for single households | 1 |
| 87500 | 75.000-99.999 CZK | 12 |
| 125000 | 100.000 CZK or more, net | 7 |
| 999990 | NAP, other countries | 47320 |
| 999997 | Refused | 370 |
| 999998 | Don't know | 158 |
| 999999 | No answer | 72 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 800 | 47920 | 0 | 125000 |
Valid range from 0 to 125000
DE_INC Country specific household income: Germany
| Value 32076 | Frequency | |
|---|---|---|
| 0 | No income | 8 |
| 1 | 1 EUR per month, net | 1 |
| 100 | 100/ Less than 200 EUR | 2 |
| 250 | 250/ 200-299 EUR | 0 |
| 350 | 350/ 300-399 EUR | 1 |
| 450 | 450/ 400-499 EUR | 5 |
| 562 | 562/ 500-624 EUR | 0 |
| 687 | 687/ 625-749 EUR | 0 |
| 812 | 812/ 750-874 EUR | 0 |
| 937 | 937/ 875-999 EUR | 5 |
| 1062 | 1.062/ 1.000-1.124 EUR | 8 |
| 1187 | 1.187/ 1.125-1.249 EUR | 7 |
| 1312 | 1.312/ 1.250-1.374 EUR | 4 |
| 1437 | 1.437/ 1.375-1.499 EUR | 10 |
| 1625 | 1.625/ 1.500-1.749 EUR | 13 |
| 1875 | 1.875/ 1.750-1.999 EUR | 20 |
| 2125 | 2.125/ 2.000-2.249 EUR | 23 |
| 2375 | 2.375/ 2.250-2.499 EUR | 19 |
| 2625 | 2.625/ 2.500-2.749 EUR | 23 |
| 2875 | 2.875/ 2.750-2.999 EUR | 29 |
| 3500 | 3.500/ 3.000-3.999 EUR | 87 |
| 4500 | 4.500/ 4.000-4.999 EUR | 61 |
| 6250 | 6.250/ 5.000-7.499 EUR | 23 |
| 7500 | 7.500/ 7.500 EUR and above | 16 |
| 16000 | 16.000 EUR per month, net | 1 |
| 999990 | NAP, other countries | 47031 |
| 999999 | No answer | 163 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1526 | 47194 | 0 | 16000 |
Valid range from 0 to 16000
DK_INC Country specific household income: Denmark
| Value 32175 | Frequency | |
|---|---|---|
| 70000 | Below 100.000 DKK per year, before taxes | 27 |
| 125000 | 100.000-149.999 DKK | 45 |
| 175000 | 150.000-199.999 DKK | 60 |
| 225000 | 200.000-249.999 DKK | 61 |
| 275000 | 250.000-299.999 DKK | 71 |
| 350000 | 300.000-399.999 DKK | 126 |
| 450000 | 400.000-499.999 DKK | 98 |
| 550000 | 500.000-599.999 DKK | 104 |
| 650000 | 600.000-699.999 DKK | 108 |
| 750000 | 700.000-799.999 DKK | 102 |
| 850000 | 800.000-899.999 DKK | 90 |
| 950000 | 900.000-999.999 DKK | 61 |
| 1050000 | 1.000.000-1.099.999 DKK | 33 |
| 1150000 | 1.100.000 DKK or more per year, before taxes | 65 |
| 9999990 | NAP, other countries | 47582 |
| 9999999 | No answer | 87 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1051 | 47669 | 70000 | 1150000 |
Valid range from 70000 to 1150000
ES_INC Country specific household income: Spain
| Value 32274 | Frequency | |
|---|---|---|
| 0 | No income | 18 |
| 250 | 300 EUR per month or less, gross | 16 |
| 450 | 301-600 EUR | 98 |
| 750 | 601-900 EUR | 209 |
| 1050 | 901-1.200 EUR | 231 |
| 1500 | 1.201-1.800 EUR | 274 |
| 2100 | 1.801-2.400 EUR | 200 |
| 2700 | 2.401-3.000 EUR | 143 |
| 3750 | 3.001-4.500 EUR | 93 |
| 5250 | 4.501-6.000 EUR | 27 |
| 7000 | More than 6.000 EUR per month, gross | 14 |
| 999990 | NAP, other countries | 46886 |
| 999998 | Don't know | 165 |
| 999999 | No answer | 346 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1323 | 47397 | 0 | 7000 |
Valid range from 0 to 7000
FI_INC Country specific household income: Finland
| Value 32373 | Frequency | |
|---|---|---|
| 10 | 10 EUR per month, gross | 1 |
| 300000 | 300.000 EUR per month, gross | 1 |
| 999990 | NAP, other countries | 47534 |
| 999999 | No answer | 158 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1028 | 47692 | 10 | 300000 |
Valid range from 10 to 300000
FR_INC Country specific household income: France
| Value 32472 | Frequency | |
|---|---|---|
| 0 | No income | 10 |
| 180 | 180 EUR per month | 1 |
| 95000 | 95.000 EUR per month | 1 |
| 999990 | NAP, other countries | 47219 |
| 999999 | No answer | 592 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 909 | 47811 | 0 | 95000 |
Valid range from 0 to 95000
GB_INC Country specific household income: Great Britain (GB-GBN)
| Value 32571 | Frequency | |
|---|---|---|
| 590 | Less than 770 GBP per month, gross | 96 |
| 910 | 771-1.000 GBP | 113 |
| 1200 | 1.001-1.300 GBP | 118 |
| 1500 | 1.301-1.700 GBP | 133 |
| 1900 | 1.701-2.200 GBP | 159 |
| 2400 | 2.201-2.700 GBP | 127 |
| 3000 | 2.701-3.300 GBP | 111 |
| 3700 | 3.301-4.200 GBP | 129 |
| 4800 | 4.201-5.600 GBP | 117 |
| 7200 | 5.601 or more GBP per month, gross | 181 |
| 999990 | NAP, other countries | 47157 |
| 999997 | Refused | 178 |
| 999999 | No answer | 101 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1284 | 47436 | 590 | 7200 |
Valid range from 590 to 7200
GE_INC Country specific household income: Georgia
| Value 32670 | Frequency | |
|---|---|---|
| 20 | 20 GEL per month, net | 1 |
| 15000 | 15.000 GEL per month, net | 1 |
| 999990 | NAP, other countries | 47233 |
| 999999 | No answer | 243 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1244 | 47476 | 20 | 15000 |
Valid range from 20 to 15000
HR_INC Country specific household income: Croatia
| Value 32769 | Frequency | |
|---|---|---|
| 0 | No income | 11 |
| 600 | Up to 1.200 HRK per month, net | 12 |
| 1600 | 1.200-2.000 HRK | 41 |
| 2750 | 2.001-3.500 HRK | 92 |
| 4500 | 3.501-5.500 HRK | 157 |
| 6250 | 5.501-7.000 HRK | 174 |
| 8000 | 7.001-9.000 HRK | 143 |
| 9000 | More than 9.000 HRK per month, net | 283 |
| 999990 | NAP, other countries | 47694 |
| 999997 | Refused | 70 |
| 999998 | Don't know | 31 |
| 999999 | No answer | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 913 | 47807 | 0 | 9000 |
Valid range from 0 to 9000
HU_INC Country specific household income: Hungary
| Value 32868 | Frequency | |
|---|---|---|
| 22000 | 22.000 HUF per month, net | 1 |
| 22800 | 2 | |
| 26000 | 1 | |
| 30000 | 1 | |
| 33000 | 1 | |
| 38000 | 1 | |
| 40000 | 1 | |
| 45600 | 1 | |
| 48000 | 2 | |
| 50000 | 4 | |
| 51000 | 1 | |
| 52000 | 4 | |
| 53000 | 1 | |
| 54000 | 1 | |
| 55000 | 5 | |
| 56000 | 2 | |
| 57000 | 2 | |
| 58000 | 3 | |
| 59000 | 1 | |
| 60000 | 3 | |
| 60100 | 1 | |
| 62000 | 1 | |
| 65000 | 1 | |
| 67000 | 1 | |
| 70000 | 3 | |
| 72000 | 1 | |
| 73800 | 1 | |
| 75000 | 10 | |
| 77000 | 1 | |
| 78000 | 2 | |
| 79000 | 1 | |
| 80000 | 9 | |
| 81000 | 1 | |
| 82000 | 2 | |
| 83000 | 1 | |
| 84000 | 1 | |
| 85000 | 18 | |
| 86000 | 2 | |
| 87000 | 2 | |
| 88000 | 1 | |
| 89000 | 3 | |
| 90000 | 11 | |
| 91000 | 1 | |
| 95000 | 4 | |
| 96000 | 1 | |
| 97000 | 2 | |
| 98000 | 1 | |
| 100000 | 17 | |
| 102000 | 2 | |
| 105000 | 6 | |
| 106000 | 1 | |
| 110000 | 13 | |
| 114000 | 1 | |
| 116000 | 1 | |
| 117210 | 1 | |
| 119000 | 1 | |
| 119650 | 1 | |
| 120000 | 14 | |
| 123000 | 1 | |
| 124500 | 1 | |
| 125000 | 16 | |
| 126000 | 1 | |
| 128600 | 1 | |
| 130000 | 9 | |
| 132000 | 1 | |
| 134000 | 1 | |
| 135000 | 24 | |
| 136000 | 1 | |
| 137000 | 1 | |
| 140000 | 13 | |
| 142000 | 2 | |
| 145000 | 6 | |
| 149000 | 1 | |
| 150000 | 28 | |
| 152000 | 2 | |
| 155000 | 3 | |
| 156000 | 4 | |
| 158000 | 3 | |
| 160000 | 12 | |
| 165000 | 4 | |
| 166000 | 1 | |
| 168000 | 2 | |
| 170000 | 6 | |
| 175000 | 29 | |
| 176000 | 1 | |
| 176800 | 1 | |
| 179500 | 1 | |
| 180000 | 15 | |
| 185000 | 3 | |
| 186500 | 1 | |
| 187000 | 1 | |
| 189000 | 1 | |
| 190000 | 9 | |
| 192000 | 1 | |
| 195000 | 2 | |
| 198700 | 1 | |
| 199000 | 1 | |
| 200000 | 35 | |
| 202430 | 1 | |
| 205000 | 2 | |
| 210000 | 10 | |
| 215000 | 1 | |
| 220000 | 11 | |
| 223450 | 1 | |
| 225000 | 1 | |
| 225300 | 1 | |
| 230000 | 13 | |
| 235000 | 2 | |
| 240000 | 5 | |
| 245000 | 2 | |
| 250000 | 97 | |
| 254000 | 1 | |
| 255000 | 2 | |
| 256760 | 1 | |
| 260000 | 3 | |
| 270000 | 5 | |
| 271000 | 1 | |
| 276000 | 1 | |
| 280000 | 6 | |
| 285000 | 2 | |
| 290000 | 3 | |
| 295000 | 1 | |
| 300000 | 6 | |
| 304000 | 1 | |
| 310000 | 4 | |
| 320000 | 4 | |
| 325000 | 1 | |
| 327000 | 1 | |
| 330000 | 3 | |
| 337800 | 1 | |
| 340000 | 1 | |
| 345000 | 1 | |
| 348700 | 1 | |
| 350000 | 14 | |
| 360000 | 2 | |
| 362000 | 1 | |
| 370000 | 1 | |
| 380000 | 2 | |
| 385000 | 1 | |
| 400000 | 49 | |
| 410000 | 1 | |
| 420000 | 1 | |
| 437000 | 1 | |
| 445000 | 1 | |
| 450000 | 5 | |
| 457300 | 1 | |
| 460000 | 1 | |
| 470000 | 1 | |
| 480000 | 2 | |
| 483600 | 1 | |
| 500000 | 3 | |
| 518300 | 1 | |
| 550000 | 3 | |
| 600000 | 1 | |
| 750000 | 750.000 HUF per month, net | 6 |
| 999990 | NAP, other countries | 47720 |
| 999997 | Refused | 72 |
| 999998 | Don't know | 1 |
| 999999 | No answer | 206 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 721 | 47999 |
Valid range from 22000 to 750000
IL_INC Country specific household income: Israel
| Value 32967 | Frequency | |
|---|---|---|
| 1500 | 3.000 ILS and less per month, before taxes | 52 |
| 3750 | 3.001-4.500 ILS | 74 |
| 5250 | 4.501-6.000 ILS | 84 |
| 7000 | 6.001-8.000 ILS | 101 |
| 9000 | 8.001-10.000 ILS | 117 |
| 11000 | 10.001-12.000 ILS | 93 |
| 13500 | 12.001-15.000 ILS | 92 |
| 17500 | 15.001-20.000 ILS | 120 |
| 24000 | 20.001-28.000 ILS | 80 |
| 32000 | More than 28.000 ILS per month, before taxes | 74 |
| 999990 | NAP, other countries | 47472 |
| 999997 | Refused | 185 |
| 999998 | Don't know | 93 |
| 999999 | No answer | 83 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 887 | 47833 | 1500 | 32000 |
Valid range from 1500 to 32000
IN_INC Country specific household income: India
| Value 33066 | Frequency | |
|---|---|---|
| 1500 | Less than 3.000 INR per month, before taxes | 22 |
| 4500 | 3.000-6.000 INR | 221 |
| 8000 | 6.001-10.000 INR | 256 |
| 15000 | 10.001-20.000 INR | 465 |
| 35000 | 20.001-50.000 INR | 288 |
| 75000 | 50.001-100.000 INR | 9 |
| 150000 | More than 100.000 INR per month, before taxes | 12 |
| 999990 | NAP, other countries | 47212 |
| 999997 | Refused | 235 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1273 | 47447 |
Valid range from 1500 to 150000
IS_INC Country specific household income: Iceland
| Value 33165 | Frequency | |
|---|---|---|
| 75000 | 75.000 ISK per month, before taxes | 2 |
| 80000 | 2 | |
| 112000 | 1 | |
| 140000 | 1 | |
| 180000 | 1 | |
| 190000 | 2 | |
| 198000 | 1 | |
| 200000 | 1 | |
| 214000 | 1 | |
| 230000 | 3 | |
| 240000 | 1 | |
| 250000 | 6 | |
| 255000 | 1 | |
| 259000 | 1 | |
| 260000 | 4 | |
| 270000 | 4 | |
| 280000 | 1 | |
| 283000 | 1 | |
| 290000 | 1 | |
| 300000 | 9 | |
| 310000 | 1 | |
| 315000 | 1 | |
| 320000 | 2 | |
| 330000 | 1 | |
| 340000 | 1 | |
| 350000 | 9 | |
| 360000 | 1 | |
| 375000 | 2 | |
| 380000 | 1 | |
| 400000 | 20 | |
| 410000 | 1 | |
| 413000 | 1 | |
| 420000 | 2 | |
| 430000 | 2 | |
| 436000 | 1 | |
| 440000 | 2 | |
| 450000 | 22 | |
| 456000 | 1 | |
| 470000 | 2 | |
| 475000 | 3 | |
| 495000 | 1 | |
| 500000 | 25 | |
| 506000 | 1 | |
| 520000 | 2 | |
| 530000 | 2 | |
| 537000 | 1 | |
| 540000 | 3 | |
| 550000 | 10 | |
| 552000 | 1 | |
| 560000 | 3 | |
| 570000 | 3 | |
| 575000 | 1 | |
| 580000 | 1 | |
| 583000 | 1 | |
| 585000 | 1 | |
| 600000 | 29 | |
| 630000 | 1 | |
| 640000 | 4 | |
| 650000 | 13 | |
| 660000 | 1 | |
| 670000 | 1 | |
| 680000 | 1 | |
| 690000 | 1 | |
| 692000 | 1 | |
| 700000 | 29 | |
| 705000 | 1 | |
| 720000 | 2 | |
| 750000 | 20 | |
| 760000 | 2 | |
| 780000 | 2 | |
| 786000 | 1 | |
| 790000 | 1 | |
| 800000 | 43 | |
| 815000 | 1 | |
| 829000 | 1 | |
| 830000 | 1 | |
| 840000 | 1 | |
| 842000 | 1 | |
| 850000 | 14 | |
| 860000 | 3 | |
| 865000 | 1 | |
| 870000 | 1 | |
| 880000 | 1 | |
| 890000 | 1 | |
| 900000 | 25 | |
| 930000 | 1 | |
| 950000 | 10 | |
| 951000 | 1 | |
| 960000 | 1 | |
| 970000 | 2 | |
| 990000 | 1 | |
| 1000000 | 37 | |
| 1025000 | 2 | |
| 1040000 | 1 | |
| 1048000 | 1 | |
| 1050000 | 4 | |
| 1055000 | 1 | |
| 1060000 | 1 | |
| 1075000 | 1 | |
| 1100000 | 27 | |
| 1150000 | 4 | |
| 1200000 | 29 | |
| 1240000 | 2 | |
| 1250000 | 4 | |
| 1300000 | 20 | |
| 1320000 | 1 | |
| 1350000 | 5 | |
| 1360000 | 1 | |
| 1375000 | 1 | |
| 1390000 | 1 | |
| 1400000 | 18 | |
| 1450000 | 1 | |
| 1480000 | 1 | |
| 1500000 | 15 | |
| 1600000 | 5 | |
| 1687000 | 1 | |
| 1700000 | 11 | |
| 1761000 | 1 | |
| 1789000 | 1 | |
| 1800000 | 4 | |
| 1827000 | 1 | |
| 1900000 | 3 | |
| 2000000 | 15 | |
| 2100000 | 2 | |
| 2200000 | 4 | |
| 2500000 | 4 | |
| 2600000 | 2 | |
| 3000000 | 4 | |
| 3500000 | 3 | |
| 4000000 | 1 | |
| 4750000 | 1 | |
| 6500000 | 6.500.000 ISK per month, before taxes | 1 |
| 9999990 | NAP, other countries | 47398 |
| 9999997 | Refused | 331 |
| 9999998 | Don't know | 1 |
| 9999999 | No answer | 352 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 638 | 48082 |
Valid range from 75000 to 6500000
JP_INC Country specific household income: Japan
| Value 33264 | Frequency | |
|---|---|---|
| 1000000 | Less than 2.000.000 JPY per year, gross | 185 |
| 2500000 | 2.000.000-2.999.999 JPY | 188 |
| 3500000 | 3.000.000-3.999.999 JPY | 207 |
| 4500000 | 4.000.000-4.999.999 JPY | 148 |
| 5500000 | 5.000.000-5.999.999 JPY | 162 |
| 6500000 | 6.000.000-6.999.999 JPY | 119 |
| 7500000 | 7.000.000-7.999.999 JPY | 95 |
| 8500000 | 8.000.000-8.999.999 JPY | 82 |
| 9500000 | 9.000.000-9.999.999 JPY | 56 |
| 11000000 | 10.000.000-11.999.999 JPY | 97 |
| 13500000 | 12.000.000-14.999.999 JPY | 37 |
| 20000000 | 15.000.000 JPY and more per year, gross | 38 |
| 99999990 | NAP, other countries | 47109 |
| 99999999 | No answer | 197 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1414 | 47306 | 1000000 | 20000000 |
Valid range from 1000000 to 20000000
KR_INC Country specific household income: Korea (South)
| Value 33363 | Frequency | |
|---|---|---|
| 0 | No income | 11 |
| 100000 | 100.000 KRW per month, before taxes | 2 |
| 160000 | 5 | |
| 200000 | 21 | |
| 250000 | 1 | |
| 270000 | 1 | |
| 280000 | 1 | |
| 300000 | 13 | |
| 320000 | 5 | |
| 340000 | 3 | |
| 350000 | 2 | |
| 400000 | 10 | |
| 420000 | 1 | |
| 440000 | 1 | |
| 450000 | 4 | |
| 500000 | 20 | |
| 540000 | 2 | |
| 550000 | 2 | |
| 560000 | 1 | |
| 570000 | 1 | |
| 600000 | 8 | |
| 620000 | 1 | |
| 680000 | 1 | |
| 700000 | 10 | |
| 720000 | 1 | |
| 750000 | 1 | |
| 800000 | 14 | |
| 900000 | 5 | |
| 950000 | 2 | |
| 960000 | 1 | |
| 1000000 | 19 | |
| 1020000 | 1 | |
| 1050000 | 2 | |
| 1080000 | 1 | |
| 1100000 | 2 | |
| 1120000 | 1 | |
| 1200000 | 9 | |
| 1250000 | 1 | |
| 1260000 | 1 | |
| 1280000 | 1 | |
| 1300000 | 8 | |
| 1320000 | 1 | |
| 1340000 | 1 | |
| 1400000 | 5 | |
| 1500000 | 22 | |
| 1600000 | 5 | |
| 1650000 | 1 | |
| 1670000 | 1 | |
| 1700000 | 5 | |
| 1750000 | 1 | |
| 1800000 | 12 | |
| 1820000 | 1 | |
| 1850000 | 1 | |
| 1900000 | 3 | |
| 2000000 | 55 | |
| 2100000 | 3 | |
| 2150000 | 1 | |
| 2200000 | 2 | |
| 2250000 | 1 | |
| 2300000 | 7 | |
| 2340000 | 1 | |
| 2400000 | 3 | |
| 2500000 | 31 | |
| 2520000 | 1 | |
| 2600000 | 4 | |
| 2640000 | 1 | |
| 2700000 | 8 | |
| 2750000 | 1 | |
| 2800000 | 6 | |
| 2880000 | 1 | |
| 2950000 | 1 | |
| 3000000 | 68 | |
| 3100000 | 3 | |
| 3200000 | 4 | |
| 3250000 | 1 | |
| 3300000 | 8 | |
| 3400000 | 4 | |
| 3430000 | 1 | |
| 3500000 | 24 | |
| 3520000 | 1 | |
| 3570000 | 1 | |
| 3600000 | 3 | |
| 3650000 | 2 | |
| 3700000 | 2 | |
| 3800000 | 8 | |
| 3900000 | 3 | |
| 4000000 | 56 | |
| 4100000 | 1 | |
| 4160000 | 1 | |
| 4200000 | 6 | |
| 4260000 | 1 | |
| 4300000 | 5 | |
| 4400000 | 3 | |
| 4450000 | 1 | |
| 4500000 | 27 | |
| 4600000 | 4 | |
| 4750000 | 1 | |
| 4760000 | 1 | |
| 4800000 | 4 | |
| 4900000 | 1 | |
| 5000000 | 72 | |
| 5100000 | 2 | |
| 5150000 | 1 | |
| 5200000 | 2 | |
| 5300000 | 4 | |
| 5400000 | 3 | |
| 5500000 | 12 | |
| 5600000 | 2 | |
| 5670000 | 1 | |
| 5700000 | 1 | |
| 5750000 | 1 | |
| 5800000 | 4 | |
| 5900000 | 1 | |
| 5960000 | 1 | |
| 6000000 | 19 | |
| 6300000 | 1 | |
| 6400000 | 1 | |
| 6500000 | 16 | |
| 6600000 | 2 | |
| 6630000 | 1 | |
| 6700000 | 2 | |
| 6800000 | 1 | |
| 6900000 | 2 | |
| 6950000 | 1 | |
| 7000000 | 31 | |
| 7100000 | 1 | |
| 7400000 | 1 | |
| 7500000 | 7 | |
| 7550000 | 1 | |
| 7700000 | 1 | |
| 7900000 | 1 | |
| 8000000 | 15 | |
| 8400000 | 1 | |
| 8500000 | 6 | |
| 8600000 | 2 | |
| 8800000 | 1 | |
| 9000000 | 14 | |
| 9300000 | 1 | |
| 9410000 | 1 | |
| 9500000 | 5 | |
| 9650000 | 1 | |
| 9830000 | 1 | |
| 10000000 | 30 | |
| 10140000 | 1 | |
| 10300000 | 2 | |
| 10400000 | 1 | |
| 10500000 | 2 | |
| 10660000 | 1 | |
| 10800000 | 1 | |
| 11000000 | 3 | |
| 11500000 | 1 | |
| 12000000 | 7 | |
| 12500000 | 2 | |
| 13000000 | 7 | |
| 13500000 | 2 | |
| 14000000 | 3 | |
| 14500000 | 1 | |
| 14700000 | 1 | |
| 15000000 | 4 | |
| 15400000 | 1 | |
| 16000000 | 1 | |
| 17000000 | 1 | |
| 17500000 | 1 | |
| 18000000 | 2 | |
| 18500000 | 1 | |
| 20000000 | 3 | |
| 21000000 | 1 | |
| 23000000 | 1 | |
| 24000000 | 1 | |
| 24200000 | 1 | |
| 25000000 | 1 | |
| 26000000 | 1 | |
| 28000000 | 1 | |
| 30000000 | 3 | |
| 150000000 | 1 | |
| 330000000 | 330.000.000 KRW per month, before taxes | 1 |
| 999999990 | NAP, other countries | 47669 |
| 999999998 | Don't know | 88 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 963 | 47757 |
Valid range from 0 to 330000000
LT_INC Country specific household income: Lithuania
| Value 33462 | Frequency | |
|---|---|---|
| 40 | 40 EUR per month, net | 1 |
| 4400 | 4.400 EUR per month, net | 1 |
| 999990 | NAP, other countries | 47714 |
| 999997 | Refused | 332 |
| 999998 | Don't know | 80 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 594 | 48126 | 40 | 4400 |
Valid range from 40 to 4400
LV_INC Country specific household income: Latvia
| Value 33561 | Frequency | |
|---|---|---|
| 0 | No income | 15 |
| 45 | 45 EUR per month, before taxes | 1 |
| 7000 | 7.000 EUR per month, before taxes | 1 |
| 999990 | NAP, other countries | 47718 |
| 999997 | Refused | 107 |
| 999998 | Don't know | 167 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 728 | 47992 | 0 | 7000 |
Valid range from 0 to 7000
NO_INC Country specific household income: Norway
| Value 33660 | Frequency | |
|---|---|---|
| 139050 | 278.000 NOK or less per year, before taxes | 61 |
| 356000 | 279.000-433.000 NOK | 119 |
| 495000 | 434.000-556.000 NOK | 140 |
| 618500 | 557.000-680.000 NOK | 105 |
| 747500 | 681.000-814.000 NOK | 133 |
| 881500 | 815.000-948.000 NOK | 119 |
| 1015500 | 949.000-1.082.000 NOK | 98 |
| 1172500 | 1.083.000-1.262.000 NOK | 128 |
| 1404000 | 1.263.000-1.545.000 NOK | 107 |
| 1603539 | 1.546.000 or more NOK per year, before taxes | 79 |
| 9999990 | NAP, other countries | 47460 |
| 9999998 | Don't know | 84 |
| 9999999 | No answer | 87 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1089 | 47631 | 139050 | 1603539 |
Valid range from 139050 to 1603539
NZ_INC Country specific household income: New Zealand
| Value 33759 | Frequency | |
|---|---|---|
| 0 | Loss/ Zero income | 10 |
| 2500 | 1-5.000 NZD per year, before taxes | 11 |
| 7500 | 5.001-10.000 NZD | 7 |
| 12500 | 10.001-15.000 NZD | 29 |
| 17500 | 15.001-20.000 NZD | 32 |
| 22500 | 20.001-25.000 NZD | 46 |
| 27500 | 25.001-30.000 NZD | 46 |
| 32500 | 30.001-35.000 NZD | 44 |
| 37500 | 35.001-40.000 NZD | 43 |
| 45000 | 40.001-50.000 NZD | 79 |
| 55000 | 50.001-60.000 NZD | 83 |
| 65000 | 60.001-70.000 NZD | 89 |
| 85000 | 70.001-100.000 NZD | 200 |
| 125000 | 100.001-150.000 NZD | 227 |
| 150000 | 150.001 or more NZD per year, before taxes | 211 |
| 999990 | NAP, other countries | 47370 |
| 999999 | No answer | 193 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1157 | 47563 | 0 | 150000 |
Valid range from 0 to 150000
PH_INC Country specific household income: Philippines
| Value 33858 | Frequency | |
|---|---|---|
| 0 | No income | 24 |
| 500 | 500 PHP per month, before taxes | 2 |
| 210000 | 210.000 PHP per month, before taxes | 1 |
| 999990 | NAP, other countries | 47520 |
| 999997 | Refused | 37 |
| 999998 | Don't know | 28 |
| 999999 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1132 | 47588 | 0 | 210000 |
Valid range from 0 to 210000
RU_INC Country specific household income: Russia
| Value 33957 | Frequency | |
|---|---|---|
| 0 | No income | 2 |
| 2500 | 2.500 RUB per month, net | 1 |
| 190000 | 190.000 RUB per month, net | 1 |
| 999990 | NAP, other countries | 47144 |
| 999997 | Refused | 189 |
| 999998 | Don't know | 91 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1296 | 47424 | 0 | 190000 |
Valid range from 0 to 190000
SE_INC Country specific household income: Sweden
| Value 34056 | Frequency | |
|---|---|---|
| 1700 | 1.700 SEK per month, before taxes | 1 |
| 800000 | 800.000 SEK per month, before taxes | 1 |
| 999990 | NAP, other countries | 47580 |
| 999999 | No answer | 137 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 47717 | 1700 | 800000 |
Valid range from 1700 to 800000
SI_INC Country specific household income: Slovenia
| Value 34155 | Frequency | |
|---|---|---|
| 0 | No income | 7 |
| 200 | 200 EUR per month, net | 2 |
| 9996 | 9.996 or more EUR per month, net | 6 |
| 999990 | NAP, other countries | 47696 |
| 999997 | Refused | 185 |
| 999998 | Don't know | 200 |
| 999999 | No answer | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 634 | 48086 | 0 | 9996 |
Valid range from 0 to 9996
SK_INC Country specific household income: Slovakia
| Value 34254 | Frequency | |
|---|---|---|
| 75 | Up to 150 EUR per month, net | 13 |
| 225 | 151-300 EUR | 27 |
| 375 | 301-450 EUR | 96 |
| 525 | 451-600 EUR | 77 |
| 675 | 601-750 EUR | 79 |
| 825 | 751-900 EUR | 100 |
| 1050 | 901-1.200 EUR | 138 |
| 1350 | 1.201-1.500 EUR | 113 |
| 1750 | 1.501-2.000 EUR | 66 |
| 2500 | 2.001-3.000 EUR | 25 |
| 3500 | More than 3.000 EUR per month, net | 8 |
| 999990 | NAP, other countries | 47570 |
| 999999 | No answer | 408 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 742 | 47978 | 75 | 3500 |
Valid range from 75 to 3500
SR_INC Country specific household income: Suriname
| Value 34353 | Frequency | |
|---|---|---|
| 0 | No income | 33 |
| 250 | Less than 500 SRD per month | 47 |
| 675 | 500-749 SRD | 102 |
| 825 | 750-999 SRD | 83 |
| 1125 | 1.000-1.249 SRD | 77 |
| 1375 | 1.250-1.499 SRD | 77 |
| 1625 | 1.500-1.749 SRD | 41 |
| 1875 | 1.750-1.999 SRD | 67 |
| 2500 | 2.000-2.999 SRD | 108 |
| 3500 | 3.000-3.999 SRD | 68 |
| 4500 | 4.000 SRD or more per month | 136 |
| 999990 | NAP, all other countries | 47447 |
| 999998 | Don't know | 267 |
| 999999 | No answer | 167 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 839 | 47881 | 0 | 4500 |
Valid range from 0 to 4500
TH_INC Country specific household income: Thailand
| Value 34452 | Frequency | |
|---|---|---|
| 0 | No income | 56 |
| 600 | 600 THB per month, before taxes | 5 |
| 150000 | 150.000 THB per month, before taxes | 1 |
| 999990 | NAP, other countries | 47245 |
| 999997 | Refused | 261 |
| 999998 | Don't know | 273 |
| 999999 | No answer | 329 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 612 | 48108 | 0 | 150000 |
Valid range from 0 to 150000
TR_INC Country specific household income: Turkey
| Value 34551 | Frequency | |
|---|---|---|
| 0 | No income | 15 |
| 200 | 200 TRY per month, gross | 1 |
| 25000 | 25.000 TRY per month, gross | 1 |
| 999990 | NAP, other countries | 47185 |
| 999999 | No answer | 240 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1295 | 47425 | 0 | 25000 |
Valid range from 0 to 25000
TW_INC Country specific household income: Taiwan
| Value 34650 | Frequency | |
|---|---|---|
| 0 | No income | 6 |
| 5000 | Up to 10.000 TWD, before taxes | 69 |
| 15000 | 10.001-20.000 TWD | 68 |
| 25000 | 20.001-30.000 TWD | 116 |
| 35000 | 30.001-40.000 TWD | 128 |
| 45000 | 40.001-50.000 TWD | 142 |
| 55000 | 50.001-60.000 TWD | 151 |
| 65000 | 60.001-70.000 TWD | 100 |
| 75000 | 70.001-80.000 TWD | 101 |
| 85000 | 80.001-90.000 TWD | 82 |
| 95000 | 90.001-100.000 TWD | 115 |
| 105000 | 100.001-110.000 TWD | 85 |
| 115000 | 110.001-120.000 TWD | 51 |
| 125000 | 120.001-130.000 TWD | 42 |
| 135000 | 130.001-140.000 TWD | 29 |
| 145000 | 140.001-150.000 TWD | 37 |
| 155000 | 150.001-160.000 TWD | 26 |
| 165000 | 160.001-170.000 TWD | 12 |
| 175000 | 170.001-180.000 TWD | 11 |
| 185000 | 180.001-190.000 TWD | 7 |
| 195000 | 190.001-200.000 TWD | 30 |
| 250000 | 200.001-300.000 TWD | 46 |
| 350000 | 300.001-400.000 TWD | 13 |
| 450000 | 400.001-500.000 TWD | 6 |
| 750000 | 500.001-1.000.000 TWD | 9 |
| 1250000 | More than 1.000.000 TWD per month, before taxes | 7 |
| 9999990 | NAP, other countries | 46754 |
| 9999997 | Refused | 86 |
| 9999998 | Don't know | 391 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1489 | 47231 | 0 | 1250000 |
Valid range from 0 to 1250000
US_INC Country specific household income: United States
| Value 34749 | Frequency | |
|---|---|---|
| 500 | Under 1.000 USD per year, before taxes | 15 |
| 2000 | 1.000-2.999 USD | 17 |
| 3500 | 3.000-3.999 USD | 11 |
| 4500 | 4.000-4.999 USD | 6 |
| 5500 | 5.000-5.999 USD | 9 |
| 6500 | 6.000-6.999 USD | 8 |
| 7500 | 7.000-7.999 USD | 14 |
| 9000 | 8.000-9.999 USD | 24 |
| 11250 | 10.000-12499 USD | 44 |
| 13750 | 12.500-14.999 USD | 36 |
| 16750 | 15.000-17.499 USD | 29 |
| 18750 | 17.500-19.999 USD | 23 |
| 21750 | 20.000-22.499 USD | 45 |
| 23750 | 22.500-24.999 USD | 53 |
| 27500 | 25.000-29.999 USD | 55 |
| 32500 | 30.000-34.999 USD | 57 |
| 37500 | 35.000-39.999 USD | 58 |
| 45000 | 40.000-49.999 USD | 111 |
| 55000 | 50.000-59.999 USD | 109 |
| 67500 | 60.000-74.999 USD | 128 |
| 82500 | 75.000-89.999 USD | 88 |
| 100000 | 90.000-109.999 USD | 94 |
| 120000 | 110.000-129.999 USD | 63 |
| 140000 | 130.000-149.999 USD | 55 |
| 160000 | 150.000-169.999 USD | 30 |
| 180000 | 170.000 USD or more per year, before taxes | 77 |
| 999990 | NAP, other countries | 47330 |
| 999997 | Refused | 62 |
| 999998 | Don't know | 69 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1259 | 47461 | 500 | 180000 |
Valid range from 500 to 180000
VE_INC Country specific household income: Venezuela
| Value 34848 | Frequency | |
|---|---|---|
| 5000 | 5.000 VEF per month | 1 |
| 6000 | 1 | |
| 10000 | 1 | |
| 12000 | 2 | |
| 13000 | 1 | |
| 15000 | 4 | |
| 16000 | 1 | |
| 18000 | 1 | |
| 19000 | 1 | |
| 20000 | 9 | |
| 21000 | 2 | |
| 22000 | 6 | |
| 22500 | 6 | |
| 22576 | 2 | |
| 22750 | 5 | |
| 23000 | 1 | |
| 25000 | 8 | |
| 26000 | 1 | |
| 27000 | 1 | |
| 27091 | 2 | |
| 28000 | 1 | |
| 28500 | 1 | |
| 30000 | 17 | |
| 32000 | 6 | |
| 33000 | 1 | |
| 35000 | 6 | |
| 36000 | 1 | |
| 38000 | 1 | |
| 38180 | 1 | |
| 40000 | 24 | |
| 42000 | 6 | |
| 43000 | 1 | |
| 44000 | 7 | |
| 45000 | 7 | |
| 45800 | 1 | |
| 46500 | 1 | |
| 46800 | 2 | |
| 48000 | 4 | |
| 50000 | 32 | |
| 52000 | 1 | |
| 53000 | 1 | |
| 55000 | 2 | |
| 56000 | 2 | |
| 56900 | 1 | |
| 58000 | 2 | |
| 60000 | 52 | |
| 62000 | 2 | |
| 63200 | 1 | |
| 63500 | 1 | |
| 64000 | 2 | |
| 65000 | 54 | |
| 66000 | 4 | |
| 67000 | 2 | |
| 68000 | 1 | |
| 69000 | 1 | |
| 70000 | 38 | |
| 71000 | 1 | |
| 72000 | 1 | |
| 73000 | 1 | |
| 75000 | 8 | |
| 80000 | 64 | |
| 82000 | 1 | |
| 82500 | 4 | |
| 83000 | 2 | |
| 84000 | 1 | |
| 85000 | 6 | |
| 86000 | 2 | |
| 87000 | 7 | |
| 88000 | 1 | |
| 89000 | 1 | |
| 90000 | 38 | |
| 92000 | 1 | |
| 92576 | 1 | |
| 93000 | 2 | |
| 95000 | 10 | |
| 96000 | 2 | |
| 96200 | 1 | |
| 98000 | 1 | |
| 100000 | 60 | |
| 102000 | 2 | |
| 110000 | 14 | |
| 112500 | 1 | |
| 115000 | 2 | |
| 120000 | 55 | |
| 122566 | 1 | |
| 122576 | 1 | |
| 125000 | 3 | |
| 130000 | 25 | |
| 135000 | 7 | |
| 140000 | 25 | |
| 145000 | 3 | |
| 145154 | 1 | |
| 150000 | 35 | |
| 152000 | 2 | |
| 154500 | 1 | |
| 155000 | 1 | |
| 160000 | 11 | |
| 162000 | 1 | |
| 165000 | 1 | |
| 170000 | 3 | |
| 175000 | 2 | |
| 180000 | 16 | |
| 190000 | 3 | |
| 195000 | 1 | |
| 200000 | 30 | |
| 210000 | 4 | |
| 220000 | 4 | |
| 230000 | 1 | |
| 240000 | 3 | |
| 250000 | 7 | |
| 280000 | 1 | |
| 300000 | 8 | |
| 350000 | 4 | |
| 380000 | 1 | |
| 400000 | 4 | |
| 450000 | 2 | |
| 500000 | 2 | |
| 600000 | 2 | |
| 700000 | 1 | |
| 820000 | 1 | |
| 1600000 | 1.600.000 VEF per month | 1 |
| 9999990 | NAP, other countries | 47675 |
| 9999999 | No answer | 193 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 852 | 47868 |
Valid range from 5000 to 1600000
ZA_INC Country specific household income: South Africa
| Value 34947 | Frequency | |
|---|---|---|
| 0 | No income | 81 |
| 250 | 1-500 ZAR per month, before taxes | 80 |
| 625 | 501-750 ZAR | 90 |
| 875 | 751-1.000 ZAR | 105 |
| 1250 | 1.001-1.500 ZAR | 274 |
| 1750 | 1.501-2.000 ZAR | 289 |
| 2500 | 2.001-3.000 ZAR | 307 |
| 4000 | 3.001-5.000 ZAR | 310 |
| 6250 | 5.001-7.500 ZAR | 180 |
| 8750 | 7.501-10.000 ZAR | 132 |
| 12500 | 10.001-15.000 ZAR | 114 |
| 17500 | 15.001-20.000 ZAR | 96 |
| 25000 | 20.001-30.000 ZAR | 77 |
| 40000 | 30.001-50.000 ZAR | 56 |
| 60000 | More than 50.000 ZAR per month | 37 |
| 999990 | NAP, all other countries | 45657 |
| 999997 | Refused | 471 |
| 999998 | Don't know | 289 |
| 999999 | No answer | 75 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2228 | 46492 |
Valid range from 0 to 60000
MARITAL Legal partnership status
| Value 35046 | Frequency | |
|---|---|---|
| 1 | Married | 24777 |
| 2 | Civil partnership | 1238 |
| 3 | Separated from spouse/ civil partner (still legally married/ | 872 |
| 4 | Divorced from spouse/ legally separated from civil partner | 3705 |
| 5 | Widowed/ civil partner died | 3879 |
| 6 | Never married/ never in a civil partnership, single | 13118 |
| 7 | Refused | 202 |
| 9 | No answer | 929 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47589 | 1131 | 1 | 6 |
Valid range from 1 to 6
F_BORN Father's country of birth
| Value 35145 | Frequency | |
|---|---|---|
| 4 | Afghanistan | 7 |
| 8 | Albania | 7 |
| 12 | Algeria | 60 |
| 24 | Angola | 4 |
| 31 | Azerbaijan | 14 |
| 32 | Argentina | 33 |
| 36 | Australia | 747 |
| 40 | Austria | 39 |
| 50 | Bangladesh | 5 |
| 51 | Armenia | 23 |
| 56 | Belgium | 1435 |
| 68 | Bolivia, Plurinational State of | 8 |
| 70 | Bosnia and Herzegovina | 175 |
| 76 | Brazil | 19 |
| 100 | Bulgaria | 42 |
| 108 | Burundi | 3 |
| 112 | Belarus | 82 |
| 116 | Cambodia | 4 |
| 120 | Cameroon | 8 |
| 124 | Canada | 14 |
| 132 | Cape Verde | 2 |
| 140 | Central African Republic | 1 |
| 144 | Sri Lanka | 15 |
| 152 | Chile | 1302 |
| 156 | China | 221 |
| 158 | Taiwan | 1774 |
| 170 | Colombia | 77 |
| 174 | Comoros | 1 |
| 178 | Congo | 6 |
| 180 | Congo, the Democratic Republic of the | 20 |
| 188 | Costa Rica | 1 |
| 191 | Croatia | 890 |
| 192 | Cuba | 14 |
| 196 | Cyprus | 4 |
| 200 | Czechoslovakia (old ISO code) | 17 |
| 203 | Czech Republic | 1338 |
| 204 | Benin | 2 |
| 208 | Denmark | 1011 |
| 214 | Dominican Republic | 7 |
| 218 | Ecuador | 32 |
| 222 | El Salvador | 3 |
| 226 | Equatorial Guinea | 1 |
| 231 | Ethiopia | 22 |
| 232 | Eritrea | 5 |
| 233 | Estonia | 21 |
| 234 | Faroe Islands | 2 |
| 242 | Fiji | 3 |
| 246 | Finland | 1128 |
| 250 | France | 1355 |
| 254 | French Guiana | 5 |
| 258 | French Polynesia | 1 |
| 266 | Gabon | 1 |
| 268 | Georgia | 1491 |
| 270 | Gambia | 1 |
| 275 | Palestine, State of | 8 |
| 276 | Germany | 1585 |
| 288 | Ghana | 1 |
| 300 | Greece | 40 |
| 304 | Greenland | 3 |
| 308 | Grenada | 1 |
| 312 | Guadeloupe | 2 |
| 324 | Guinea | 7 |
| 328 | Guyana | 36 |
| 332 | Haiti | 4 |
| 340 | Honduras | 2 |
| 344 | Hong Kong | 2 |
| 348 | Hungary | 1031 |
| 352 | Iceland | 1098 |
| 356 | India | 1537 |
| 360 | Indonesia | 10 |
| 364 | Iran, Islamic Republic of | 40 |
| 368 | Iraq | 67 |
| 372 | Ireland | 19 |
| 376 | Israel | 457 |
| 380 | Italy | 234 |
| 384 | Cote d'Ivoire | 3 |
| 392 | Japan | 1593 |
| 398 | Kazakhstan | 29 |
| 404 | Kenya | 3 |
| 408 | Korea, Democratic People's Republic of | 10 |
| 410 | Korea, Republic of | 1040 |
| 417 | Kyrgyzstan | 8 |
| 418 | Lao People's Democratic Republic | 2 |
| 422 | Lebanon | 14 |
| 428 | Latvia | 767 |
| 434 | Libya | 16 |
| 438 | Liechtenstein | 1 |
| 440 | Lithuania | 1002 |
| 442 | Luxembourg | 3 |
| 450 | Madagascar | 1 |
| 458 | Malaysia | 9 |
| 466 | Mali | 1 |
| 470 | Malta | 9 |
| 474 | Martinique | 3 |
| 480 | Mauritius | 2 |
| 484 | Mexico | 7 |
| 498 | Moldova, Republic of | 34 |
| 499 | Montenegro | 12 |
| 504 | Morocco | 254 |
| 508 | Mozambique | 1 |
| 524 | Nepal | 1 |
| 528 | Netherlands | 81 |
| 554 | New Zealand | 22 |
| 558 | Nicaragua | 2 |
| 566 | Nigeria | 2 |
| 578 | Norway | 1070 |
| 586 | Pakistan | 11 |
| 598 | Papua New Guinea | 2 |
| 600 | Paraguay | 2 |
| 604 | Peru | 20 |
| 608 | Philippines | 1223 |
| 616 | Poland | 150 |
| 620 | Portugal | 67 |
| 626 | Timor-Leste | 1 |
| 638 | Reunion | 2 |
| 642 | Romania | 132 |
| 643 | Russian Federation | 1652 |
| 646 | Rwanda | 4 |
| 682 | Saudi Arabia | 2 |
| 686 | Senegal | 7 |
| 688 | Serbia | 55 |
| 702 | Singapore | 5 |
| 703 | Slovakia | 1163 |
| 704 | Viet Nam | 39 |
| 705 | Slovenia | 869 |
| 706 | Somalia | 4 |
| 710 | South Africa | 9 |
| 724 | Spain | 1725 |
| 740 | Suriname | 1157 |
| 752 | Sweden | 981 |
| 756 | Switzerland | 720 |
| 760 | Syrian Arab Republic | 25 |
| 762 | Tajikistan | 1 |
| 764 | Thailand | 1462 |
| 776 | Tonga | 2 |
| 780 | Trinidad and Tobago | 4 |
| 784 | United Arab Emirates | 1 |
| 788 | Tunisia | 47 |
| 792 | Turkey | 1595 |
| 795 | Turkmenistan | 1 |
| 800 | Uganda | 1 |
| 804 | Ukraine | 155 |
| 807 | Macedonia, the former Yugoslav Republic of | 31 |
| 810 | USSR (old ISO code) | 43 |
| 818 | Egypt | 16 |
| 826 | United Kingdom | 219 |
| 840 | United States | 1182 |
| 858 | Uruguay | 6 |
| 860 | Uzbekistan | 17 |
| 862 | Venezuela, Bolivarian Republic of | 958 |
| 887 | Yemen | 36 |
| 891 | Yugoslavia (old ISO code) | 57 |
| 915 | Kosovo (no official ISO code) | 30 |
| 920 | Kurdistan (no official ISO code) | 1 |
| 940 | Africa (country unspecified, no official ISO code) | 1 |
| 950 | Outside of COUNTRY (without specification, no official ISO c | 288 |
| 0 | NAV (GB,NZ,ZA) | 5976 |
| 990 | NAP (CH: Unknown paternity) | 12 |
| 997 | Refused | 34 |
| 998 | Don't know | 183 |
| 999 | No answer | 645 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41870 | 6850 | 4 | 950 |
Valid range from 4 to 950
M_BORN Mother's country of birth
| Value 35244 | Frequency | |
|---|---|---|
| 4 | Afghanistan | 8 |
| 8 | Albania | 5 |
| 12 | Algeria | 57 |
| 24 | Angola | 5 |
| 31 | Azerbaijan | 10 |
| 32 | Argentina | 31 |
| 36 | Australia | 762 |
| 40 | Austria | 42 |
| 50 | Bangladesh | 4 |
| 51 | Armenia | 21 |
| 56 | Belgium | 1465 |
| 68 | Bolivia, Plurinational State of | 7 |
| 70 | Bosnia and Herzegovina | 175 |
| 76 | Brazil | 19 |
| 100 | Bulgaria | 34 |
| 108 | Burundi | 3 |
| 112 | Belarus | 86 |
| 116 | Cambodia | 6 |
| 120 | Cameroon | 7 |
| 124 | Canada | 10 |
| 132 | Cape Verde | 2 |
| 144 | Sri Lanka | 15 |
| 148 | Chad | 1 |
| 152 | Chile | 1315 |
| 156 | China | 124 |
| 158 | Taiwan | 1865 |
| 170 | Colombia | 73 |
| 174 | Comoros | 1 |
| 178 | Congo | 4 |
| 180 | Congo, the Democratic Republic of the | 18 |
| 188 | Costa Rica | 1 |
| 191 | Croatia | 875 |
| 192 | Cuba | 13 |
| 196 | Cyprus | 4 |
| 200 | Czechoslovakia (old ISO code) | 18 |
| 203 | Czech Republic | 1334 |
| 208 | Denmark | 988 |
| 214 | Dominican Republic | 7 |
| 218 | Ecuador | 32 |
| 222 | El Salvador | 3 |
| 226 | Equatorial Guinea | 1 |
| 231 | Ethiopia | 21 |
| 232 | Eritrea | 6 |
| 233 | Estonia | 14 |
| 234 | Faroe Islands | 7 |
| 242 | Fiji | 4 |
| 246 | Finland | 1155 |
| 250 | France | 1392 |
| 254 | French Guiana | 4 |
| 258 | French Polynesia | 4 |
| 260 | French Southern Territories | 1 |
| 266 | Gabon | 1 |
| 268 | Georgia | 1471 |
| 270 | Gambia | 1 |
| 275 | Palestine, State of | 6 |
| 276 | Germany | 1610 |
| 288 | Ghana | 1 |
| 300 | Greece | 38 |
| 304 | Greenland | 5 |
| 308 | Grenada | 1 |
| 312 | Guadeloupe | 1 |
| 324 | Guinea | 8 |
| 328 | Guyana | 40 |
| 332 | Haiti | 5 |
| 340 | Honduras | 2 |
| 344 | Hong Kong | 3 |
| 348 | Hungary | 1020 |
| 352 | Iceland | 1096 |
| 356 | India | 1540 |
| 360 | Indonesia | 10 |
| 364 | Iran, Islamic Republic of | 36 |
| 368 | Iraq | 63 |
| 372 | Ireland | 16 |
| 376 | Israel | 483 |
| 380 | Italy | 195 |
| 384 | Cote d'Ivoire | 4 |
| 392 | Japan | 1592 |
| 398 | Kazakhstan | 36 |
| 400 | Jordan | 2 |
| 404 | Kenya | 4 |
| 408 | Korea, Democratic People's Republic of | 10 |
| 410 | Korea, Republic of | 1040 |
| 417 | Kyrgyzstan | 6 |
| 418 | Lao People's Democratic Republic | 1 |
| 422 | Lebanon | 9 |
| 428 | Latvia | 780 |
| 430 | Liberia | 1 |
| 434 | Libya | 17 |
| 440 | Lithuania | 999 |
| 442 | Luxembourg | 3 |
| 450 | Madagascar | 4 |
| 458 | Malaysia | 9 |
| 466 | Mali | 1 |
| 470 | Malta | 8 |
| 474 | Martinique | 3 |
| 480 | Mauritius | 6 |
| 484 | Mexico | 9 |
| 498 | Moldova, Republic of | 23 |
| 499 | Montenegro | 8 |
| 504 | Morocco | 250 |
| 508 | Mozambique | 1 |
| 524 | Nepal | 1 |
| 528 | Netherlands | 70 |
| 540 | New Caledonia | 1 |
| 554 | New Zealand | 20 |
| 558 | Nicaragua | 4 |
| 566 | Nigeria | 2 |
| 578 | Norway | 1093 |
| 586 | Pakistan | 10 |
| 598 | Papua New Guinea | 3 |
| 600 | Paraguay | 1 |
| 604 | Peru | 20 |
| 608 | Philippines | 1227 |
| 616 | Poland | 162 |
| 620 | Portugal | 64 |
| 626 | Timor-Leste | 2 |
| 638 | Reunion | 1 |
| 642 | Romania | 128 |
| 643 | Russian Federation | 1687 |
| 646 | Rwanda | 5 |
| 682 | Saudi Arabia | 1 |
| 686 | Senegal | 4 |
| 688 | Serbia | 53 |
| 702 | Singapore | 4 |
| 703 | Slovakia | 1160 |
| 704 | Viet Nam | 45 |
| 705 | Slovenia | 901 |
| 706 | Somalia | 4 |
| 710 | South Africa | 10 |
| 724 | Spain | 1696 |
| 740 | Suriname | 1172 |
| 752 | Sweden | 989 |
| 756 | Switzerland | 691 |
| 760 | Syrian Arab Republic | 29 |
| 762 | Tajikistan | 1 |
| 764 | Thailand | 1463 |
| 776 | Tonga | 2 |
| 780 | Trinidad and Tobago | 1 |
| 788 | Tunisia | 46 |
| 792 | Turkey | 1594 |
| 795 | Turkmenistan | 1 |
| 804 | Ukraine | 181 |
| 807 | Macedonia, the former Yugoslav Republic of | 26 |
| 810 | USSR (old ISO code) | 47 |
| 818 | Egypt | 20 |
| 826 | United Kingdom | 212 |
| 840 | United States | 1169 |
| 858 | Uruguay | 4 |
| 860 | Uzbekistan | 14 |
| 862 | Venezuela, Bolivarian Republic of | 983 |
| 887 | Yemen | 30 |
| 891 | Yugoslavia (old ISO code) | 55 |
| 915 | Kosovo (no official ISO code) | 31 |
| 920 | Kurdistan (no official ISO code) | 1 |
| 940 | Africa (country unspecified, no official ISO code) | 2 |
| 950 | Outside of COUNTRY (without specification, no official ISO c | 285 |
| 0 | NAV (GB,NZ;ZA) | 5976 |
| 990 | NAP (CH: Unknown maternity) | 9 |
| 997 | Refused | 33 |
| 998 | Don't know | 119 |
| 999 | No answer | 618 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 41965 | 6755 | 4 | 950 |
Valid range from 4 to 950
URBRURAL Place of living: urban - rural
| Value 35343 | Frequency | |
|---|---|---|
| 1 | A big city | 14379 |
| 2 | The suburbs or outskirts of a big city | 6307 |
| 3 | A town or a small city | 10747 |
| 4 | A country village | 12706 |
| 5 | A farm or home in the country | 2761 |
| 7 | Other answer (GB) | 15 |
| 0 | Not available (SR) | 1273 |
| 8 | Don't know | 4 |
| 9 | No answer | 528 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46915 | 1805 | 1 | 7 |
Valid range from 1 to 7
AU_REG Country specific region: Australia
| Value 35442 | Frequency | |
|---|---|---|
| 1 | New South Wales | 405 |
| 2 | Victoria | 332 |
| 3 | Queensland | 220 |
| 4 | South Australia | 119 |
| 5 | Western Australia | 123 |
| 6 | Tasmania | 37 |
| 7 | Australian Capital Territory | 23 |
| 8 | Northern Territory | 8 |
| 0 | NAP, other countries | 47453 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1267 | 47453 |
Valid range from 1 to 8
BE_REG Country specific region: Belgium
| Value 35541 | Frequency | |
|---|---|---|
| 10 | Brussels Capital Region | 519 |
| 21 | Antwerp | 218 |
| 22 | Limburg | 115 |
| 23 | East Flanders | 177 |
| 24 | Flemish Brabant | 136 |
| 25 | West Flanders | 146 |
| 31 | Brabant Walloon | 77 |
| 32 | Hainaut | 239 |
| 33 | Liege | 183 |
| 34 | Luxemburg | 59 |
| 35 | Namur | 83 |
| 0 | NAP, other countries | 46768 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1952 | 46768 | 10 | 35 |
Valid range from 10 to 35
CH_REG Country specific region: Switzerland
| Value 35640 | Frequency | |
|---|---|---|
| 1 | Region lemanique (VD, VS, GE) | 188 |
| 2 | Espace Mittelland (BE, FR, SO, NE, JU) | 256 |
| 3 | Nordschweiz (BS, BL, AG) | 119 |
| 4 | Zuerich (ZH) | 189 |
| 5 | Ostschweiz (GL, SH, AR, AI, SG, GR, TG) | 186 |
| 6 | Zentralschweiz (LU, UR, SZ, OW, NW, ZG) | 100 |
| 7 | Ticino (TI) | 28 |
| 0 | NAP, other countries | 47654 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1066 | 47654 |
Valid range from 1 to 7
CL_REG Country specific region: Chile
| Value 35739 | Frequency | |
|---|---|---|
| 1 | Tarapaca | 24 |
| 2 | Antofagasta | 64 |
| 3 | Atacama | 19 |
| 4 | Coquimbo | 61 |
| 5 | Valparaiso | 152 |
| 6 | Libertador General Bernardo O'Higgins | 77 |
| 7 | Maule | 93 |
| 8 | Biobio | 190 |
| 9 | La Araucania | 90 |
| 10 | Los Lagos | 72 |
| 11 | Aisen | 5 |
| 12 | Magallanes and Antartica Chilena | 12 |
| 13 | Metropolitana de Santiago | 501 |
| 14 | De los Rios | 37 |
| 15 | Arica y Parinacota | 19 |
| 0 | NAP, other countries | 47304 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1416 | 47304 |
Valid range from 1 to 15
CZ_REG Country specific region: Czech Republic
| Value 35838 | Frequency | |
|---|---|---|
| 1 | Prague | 175 |
| 2 | Central Bohemia | 170 |
| 3 | South Bohemia | 85 |
| 4 | Pilsen | 75 |
| 5 | Carlsbad | 45 |
| 6 | Usti | 105 |
| 7 | Liberec | 60 |
| 8 | Hradec Kralove | 70 |
| 9 | Pardubice | 70 |
| 10 | Vysocina | 65 |
| 11 | South Moravia | 155 |
| 12 | Olomouc | 85 |
| 13 | Moravia-Silesia | 160 |
| 14 | Zlin | 80 |
| 0 | NAP, other countries | 47320 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1400 | 47320 |
Valid range from 1 to 14
DE_REG Country specific region: Germany
| Value 35937 | Frequency | |
|---|---|---|
| 1 | Schleswig-Holstein | 47 |
| 2 | Hamburg | 34 |
| 3 | Niedersachsen | 145 |
| 4 | Bremen | 8 |
| 5 | Nordrhein-Westfalen | 299 |
| 6 | Hessen | 106 |
| 7 | Rheinland-Pfalz | 67 |
| 8 | Baden-Wuerttemberg | 172 |
| 9 | Bayern | 201 |
| 10 | Saarland | 14 |
| 11 | Berlin-Ost | 46 |
| 12 | Mecklenburg-Vorpommern | 68 |
| 13 | Brandenburg | 102 |
| 14 | Sachsen-Anhalt | 114 |
| 15 | Thueringen | 92 |
| 16 | Sachsen | 156 |
| 17 | Berlin-West | 18 |
| 0 | NAP, other countries | 47031 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1689 | 47031 |
Valid range from 1 to 17
DK_REG Country specific region: Denmark
| Value 36036 | Frequency | |
|---|---|---|
| 1 | Capital Region of Denmark | 354 |
| 2 | Region Sealand | 158 |
| 3 | Central Region of Denmark | 270 |
| 4 | Region Northern Jutland | 122 |
| 5 | Region of Southern Denmark | 234 |
| 0 | NAP, other countries | 47582 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1138 | 47582 | 1 | 5 |
Valid range from 1 to 5
ES_REG Country specific region: Spain
| Value 36135 | Frequency | |
|---|---|---|
| 1 | Andalucia | 347 |
| 2 | Aragon | 73 |
| 3 | Asturias | 56 |
| 4 | Baleares | 39 |
| 5 | Canarias | 66 |
| 6 | Cantabria | 25 |
| 7 | Castilla-La Mancha | 78 |
| 8 | Castilla-Leon | 103 |
| 9 | Cataluna | 258 |
| 10 | Comunidad Valenciana | 192 |
| 11 | Extremadura | 55 |
| 12 | Galicia | 126 |
| 13 | Madrid | 217 |
| 14 | Region de Murcia | 52 |
| 15 | Navarra | 31 |
| 16 | Pais Vasco | 84 |
| 17 | La Rioja | 22 |
| 18 | Ceuta | 6 |
| 19 | Melilla | 4 |
| 0 | NAP, other countries | 46886 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1834 | 46886 | 1 | 19 |
Valid range from 1 to 19
FI_REG Country specific region: Finland
| Value 36234 | Frequency | |
|---|---|---|
| 1 | Uusimaa | 329 |
| 2 | Varsinais-Suomi | 108 |
| 4 | Satakunta | 42 |
| 5 | Kanta-Haeme | 42 |
| 6 | Pirkanmaa | 124 |
| 7 | Paeijaet-Haeme | 49 |
| 8 | Kymenlaakso | 39 |
| 9 | South Karelia | 25 |
| 10 | Etelae-Savo | 34 |
| 11 | Pohjois-Savo | 55 |
| 12 | North Karelia | 39 |
| 13 | Central Finland | 64 |
| 14 | South Ostrobothnia | 45 |
| 15 | Ostrobothnia | 33 |
| 16 | Central Ostrobothnia | 19 |
| 17 | North Ostrobothnia | 82 |
| 18 | Kainuu | 10 |
| 19 | Lapland | 44 |
| 20 | Itae-Uusimaa | 0 |
| 21 | Aland | 3 |
| 0 | NAP, other countries | 47534 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1186 | 47534 |
Valid range from 1 to 21
FR_REG Country specific region: France
| Value 36333 | Frequency | |
|---|---|---|
| 1 | Ain | 10 |
| 2 | Aisne | 10 |
| 3 | Allier | 5 |
| 4 | Alpes-de-Haute-Provence | 5 |
| 5 | Hautes-Alpes | 4 |
| 6 | Alpes-Maritimes | 28 |
| 7 | Ardeche | 17 |
| 8 | Ardennes | 10 |
| 9 | Ariege | 2 |
| 10 | Aube | 2 |
| 11 | Aude | 7 |
| 12 | Aveyron | 8 |
| 13 | Bouche-du-Rhone | 48 |
| 14 | Calvados | 14 |
| 15 | Can'tal | 6 |
| 16 | Charente | 11 |
| 17 | Charente-Maritime | 15 |
| 18 | Cher | 4 |
| 19 | Correze | 3 |
| 20 | Corse | 7 |
| 21 | Cote-d'Or | 11 |
| 22 | Cotes-d'Armor | 13 |
| 23 | Creuse | 2 |
| 24 | Dordogne | 12 |
| 25 | Doubs | 7 |
| 26 | Drome | 17 |
| 27 | Eure | 11 |
| 28 | Eure-et-Loire | 4 |
| 29 | Finistere | 23 |
| 30 | Gard | 13 |
| 31 | Haute-Garonne | 32 |
| 32 | Gers | 5 |
| 33 | Gironde | 42 |
| 34 | Herault | 34 |
| 35 | Ille-et-Vilaine | 28 |
| 36 | Indre | 9 |
| 37 | Indre-et-Loire | 15 |
| 38 | Isere | 38 |
| 39 | Jura | 5 |
| 40 | Landes | 8 |
| 41 | Loir-et-Cher | 7 |
| 42 | Loire | 16 |
| 43 | Haute-Loire | 7 |
| 44 | Loire-Atlantique | 42 |
| 45 | Loiret | 11 |
| 46 | Lot | 5 |
| 47 | Lot-et-Garonne | 7 |
| 48 | Lozere | 1 |
| 49 | Maine-et-Loire | 22 |
| 50 | Manche | 19 |
| 51 | Marne | 11 |
| 52 | Haute-Marne | 2 |
| 53 | Mayenne | 6 |
| 54 | Meurthe-et-Moselle | 21 |
| 55 | Meuse | 5 |
| 56 | Morbihan | 19 |
| 57 | Moselle | 27 |
| 58 | Nievre | 6 |
| 59 | Nord | 60 |
| 60 | Oise | 12 |
| 61 | Orne | 7 |
| 62 | Pas-de-Calais | 23 |
| 63 | Puy-de-Dome | 15 |
| 64 | Pyrenees-Atlantiques | 23 |
| 65 | Hautes-Pyrenees | 5 |
| 66 | Pyrenees-Orientales | 14 |
| 67 | Bas-Rhin | 23 |
| 68 | Haut-Rhin | 16 |
| 69 | Rhone | 38 |
| 70 | Haute-Saone | 6 |
| 71 | Saone-et-Loire | 12 |
| 72 | Sarthe | 15 |
| 73 | Savoie | 10 |
| 74 | Haute-Savoie | 18 |
| 75 | Ville de Paris | 62 |
| 76 | Seine-Maritime | 35 |
| 77 | Seine-et-Marne | 22 |
| 78 | Yvelines | 31 |
| 79 | Deux-Sevres | 7 |
| 80 | Somme | 12 |
| 81 | Tarn | 9 |
| 82 | Tarn-et-Garonne | 5 |
| 83 | Var | 31 |
| 84 | Vaucluse | 13 |
| 85 | Vendee | 18 |
| 86 | Vienne | 9 |
| 87 | Haute-Vienne | 10 |
| 88 | Vosges | 11 |
| 89 | Yonne | 3 |
| 90 | Belfort (Territoire) | 3 |
| 91 | Essone | 21 |
| 92 | Hauts-de-Seine | 43 |
| 93 | Seine-Saint-Denis | 22 |
| 94 | Val-de-Marne | 21 |
| 95 | Val-d'Oise | 20 |
| 0 | NAP, other countries | 47219 |
| 9999 | No answer | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1484 | 47236 | 1 | 95 |
Valid range from 1 to 95
GB_REG Country specific region: Great Britain (GB-GBN)
| Value 36432 | Frequency | |
|---|---|---|
| 1 | Scotland (GB) | 129 |
| 2 | North, North West, Yorkshire Humbershire (GB) | 465 |
| 3 | West, East Midlands (GB) | 228 |
| 4 | Wales (GB) | 68 |
| 5 | East Anglia, South West, South-East (GB) | 548 |
| 6 | Greater London (GB) | 125 |
| 0 | NAP, other countries | 47157 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1563 | 47157 |
Valid range from 1 to 6
GE_REG Country specific region: Georgia
| Value 36531 | Frequency | |
|---|---|---|
| 1 | Tbilisi | 438 |
| 2 | Guria | 42 |
| 3 | Adjara | 117 |
| 4 | Shida kartli | 109 |
| 5 | Kakheti | 135 |
| 6 | Qvemo kartli | 162 |
| 7 | Samegrelo | 141 |
| 8 | Imereti | 250 |
| 9 | Samcxe-javakheti | 63 |
| 10 | Mcxeta-tianeti | 30 |
| 0 | NAP, other countries | 47233 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1487 | 47233 | 1 | 10 |
Valid range from 1 to 10
HR_REG Country specific region: Croatia
| Value 36630 | Frequency | |
|---|---|---|
| 1 | Zagreb | 178 |
| 2 | North Croatia | 238 |
| 3 | Slavonija | 93 |
| 4 | Lika and Banovina | 167 |
| 5 | Istra and Hrvatsko primorje | 212 |
| 6 | Dalmacija | 138 |
| 0 | NAP, other countries | 47694 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1026 | 47694 |
Valid range from 1 to 6
HU_REG Country specific region: Hungary
| Value 36729 | Frequency | |
|---|---|---|
| 1 | Central Hungary | 117 |
| 2 | Central Transdanubia | 110 |
| 3 | Western Transdanubia | 100 |
| 4 | Southern Transdanubia | 97 |
| 5 | Northern Hungary | 122 |
| 6 | Northern Great Plain | 146 |
| 7 | Southern Great Plain | 132 |
| 9 | Central Hungary - Budapest | 176 |
| 0 | NAP, other countries | 47720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1000 | 47720 |
Valid range from 1 to 9
IL_REG Country specific region: Israel
| Value 36828 | Frequency | |
|---|---|---|
| 1 | North | 231 |
| 2 | South | 197 |
| 3 | Tel-Aviv | 490 |
| 4 | Jerusalem | 107 |
| 5 | Arab sector | 223 |
| 0 | NAP, other countries | 47472 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1248 | 47472 | 1 | 5 |
Valid range from 1 to 5
IN_REG Country specific region: India
| Value 36927 | Frequency | |
|---|---|---|
| 1 | AP-Andhra Pradesh | 55 |
| 2 | AR-Arunachal Pradesh | 14 |
| 3 | AS-Assam | 34 |
| 4 | BR-Bihar | 101 |
| 5 | CT-Chhattisgarh | 16 |
| 6 | GA-Goa | 4 |
| 7 | GJ-Gujarat | 60 |
| 8 | HR-Haryana | 46 |
| 9 | HP-Himachal Pradesh | 15 |
| 10 | JK-Jammu and Kashmir | 26 |
| 11 | JH-Jharkhand | 42 |
| 12 | KA-Karnataka | 70 |
| 13 | KL-Kerala | 34 |
| 14 | MP-Madhya Pradesh | 69 |
| 15 | MH-Maharashtra | 97 |
| 16 | MN-Manipur | 14 |
| 17 | ML-Meghalaya | 14 |
| 18 | MZ-Mizoram | 14 |
| 19 | NL-Nagaland | 14 |
| 20 | OR-Odisha | 32 |
| 21 | PB-Punjab | 43 |
| 22 | RJ-Rajasthan | 101 |
| 23 | SK-Sikkim | 9 |
| 24 | TN-Tamil Nadu | 61 |
| 25 | TG-Telangana | 46 |
| 26 | TR-Tripura | 8 |
| 27 | UT-Uttarakhand | 20 |
| 28 | UP-Uttar Pradesh | 264 |
| 29 | WB-West Bengal | 90 |
| 30 | AN-Andaman and Nicobar Islands | 11 |
| 31 | CH-Chandigarh | 24 |
| 32 | DN-Dadra and Nagar Haveli | 9 |
| 33 | DD-Daman and Diu | 11 |
| 34 | DL-Delhi | 25 |
| 35 | LD-Lakshadweep | 7 |
| 36 | PY-Puducherry | 8 |
| 0 | NAP, other countries | 47212 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1508 | 47212 |
Valid range from 1 to 36
IS_REG Country specific region: Iceland
| Value 37026 | Frequency | |
|---|---|---|
| 1 | Northeast constituency | 166 |
| 2 | Northwest constituency | 127 |
| 3 | Reykjavik constituency north | 260 |
| 4 | Reykjavik constituency south | 229 |
| 5 | South constituency | 192 |
| 6 | Southwest constituency | 348 |
| 0 | NAP, other countries | 47398 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1322 | 47398 |
Valid range from 1 to 6
JP_REG Country specific region: Japan
| Value 37125 | Frequency | |
|---|---|---|
| 1 | Hokkaido | 61 |
| 2 | Tohoku | 121 |
| 3 | Kanto | 521 |
| 4 | Koshin-etsu | 70 |
| 5 | Tokai, Hokuriku | 257 |
| 6 | Kinki | 236 |
| 7 | Chugoku | 108 |
| 8 | Shikoku | 53 |
| 9 | Kyushu | 184 |
| 0 | NAP, other countries | 47109 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1611 | 47109 |
Valid range from 1 to 9
KR_REG Country specific region: Korea (South)
| Value 37224 | Frequency | |
|---|---|---|
| 10 | Seoul Special Metropolitan City | 177 |
| 20 | Gangwon Province | 38 |
| 30 | Daejeon Metropolitan City | 14 |
| 31 | South Chungcheon Province | 45 |
| 33 | Sejong Metropolitan Autonomous City | 13 |
| 36 | North Chungcheong Province | 39 |
| 40 | Incheon Metropolitan City | 51 |
| 41 | Gyeonggi Province | 225 |
| 50 | Gwangju Metropolitan City | 37 |
| 51 | South Jeolla Province | 51 |
| 56 | North Jeolla Province | 50 |
| 60 | Busan Metropolitan City | 87 |
| 62 | South Gyeongsang Province | 43 |
| 68 | Ulsan Metropolitan City | 28 |
| 69 | Jeju Special Self-Governing Province | 13 |
| 70 | Daegu Metropolitan City | 65 |
| 71 | North Gyeongsang Province | 75 |
| 0 | NAP, other countries | 47669 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1051 | 47669 |
Valid range from 10 to 71
LT_REG Country specific region: Lithuania
| Value 37323 | Frequency | |
|---|---|---|
| 1 | Alytus | 44 |
| 2 | Kaunas | 198 |
| 3 | Klaipeda | 118 |
| 4 | Marijampole | 56 |
| 5 | Panevezys | 85 |
| 6 | Siauliai | 99 |
| 7 | Taurage | 35 |
| 8 | Telsiai | 47 |
| 9 | Utena | 52 |
| 10 | Vilnius | 272 |
| 0 | NAP, other countries | 47714 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1006 | 47714 |
Valid range from 1 to 10
LV_REG Country specific region: Latvia
| Value 37422 | Frequency | |
|---|---|---|
| 1 | Riga (Capital) | 322 |
| 2 | Pieriga (Centre) | 171 |
| 3 | Vidzeme (North) | 100 |
| 4 | Kurzeme (West) | 140 |
| 5 | Zemgale (South) | 109 |
| 6 | Latgale (East) | 160 |
| 0 | NAP, other countries | 47718 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1002 | 47718 | 1 | 6 |
Valid range from 1 to 6
NO_REG Country specific region: Norway
| Value 37521 | Frequency | |
|---|---|---|
| 1 | Central East | 315 |
| 2 | East | 356 |
| 3 | South | 63 |
| 4 | West | 339 |
| 5 | Middle | 102 |
| 6 | North | 85 |
| 0 | NAP, other countries | 47460 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1260 | 47460 |
Valid range from 1 to 6
NZ_REG Country specific region: New Zealand
| Value 37620 | Frequency | |
|---|---|---|
| 1 | Northland | 55 |
| 2 | Auckland | 401 |
| 3 | Waikato | 122 |
| 4 | Bay of Plenty Region | 90 |
| 5 | Hawke's Bay/ Gisborne | 59 |
| 6 | Taranaki/ Wanganui/ Manawatu | 104 |
| 7 | Wellington | 159 |
| 8 | Tasman/ Nelson/ Marlborough/ West Coast | 69 |
| 9 | Canterbury | 185 |
| 10 | Otago/ Southland | 102 |
| 11 | Other | 1 |
| 0 | NAP, other countries | 47370 |
| 9999 | No answer | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1347 | 47373 |
Valid range from 1 to 11
PH_REG Country specific region: Philippines
| Value 37719 | Frequency | |
|---|---|---|
| 1 | Great Manila Area/ National Capital Region (NCR) | 300 |
| 2 | Balance Luzon | 300 |
| 3 | Visayas | 300 |
| 4 | Mindanao | 300 |
| 0 | NAP, other countries | 47520 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 47520 | 1 | 4 |
Valid range from 1 to 4
RU_REG Country specific region: Russia
| Value 37818 | Frequency | |
|---|---|---|
| 1 | North | 45 |
| 2 | North-West | 111 |
| 3 | Central | 346 |
| 4 | Volga-Vyatka | 65 |
| 5 | Black Earth | 178 |
| 6 | Volga Region | 118 |
| 7 | North Caucasus | 195 |
| 8 | Urals | 213 |
| 9 | West Siberia | 196 |
| 10 | East Siberia | 42 |
| 11 | Far East | 67 |
| 0 | NAP, other countries | 47144 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1576 | 47144 |
Valid range from 1 to 11
SE_REG Country specific region: Sweden
| Value 37917 | Frequency | |
|---|---|---|
| 1 | Stockholm/ Sodertalje | 224 |
| 2 | Norrtalje | 6 |
| 3 | Enkoping | 10 |
| 4 | Uppsala | 24 |
| 5 | Nykoping | 10 |
| 6 | Katrineholm | 3 |
| 7 | Eskilstuna | 11 |
| 8 | Mjolby/ Motala | 11 |
| 9 | Linkoping | 12 |
| 10 | Norrkoping | 24 |
| 11 | Jonkoping | 19 |
| 12 | Tranas | 3 |
| 13 | Eksjo/ Nassjo/ Vetlanda | 10 |
| 14 | Varnamo | 15 |
| 15 | Ljungby | 3 |
| 16 | Vaxjo | 17 |
| 17 | Vastervik | 6 |
| 18 | Hultsfred/ Vimmerby | 3 |
| 19 | Oskarshamn | 6 |
| 20 | Kalmar/ Nybro | 11 |
| 21 | Visby | 12 |
| 22 | Karlskrona | 15 |
| 23 | Karlshamn | 6 |
| 24 | Kristianstad | 15 |
| 25 | Hassleholm | 6 |
| 26 | Angelholm | 8 |
| 27 | Helsingborg/ Landskrona | 27 |
| 28 | Malmo/ Lund/ Trelleborg | 58 |
| 29 | Ystad/ Simrishamn | 7 |
| 30 | Eslov | 2 |
| 31 | Halmstad | 13 |
| 32 | Falkenberg/ Varberg | 17 |
| 33 | Goteborg/ Alingsas | 125 |
| 34 | Uddevalla | 19 |
| 35 | Trollhattan/ Vanersborg | 16 |
| 36 | Boras | 28 |
| 37 | Lidkoping/ Skara | 18 |
| 38 | Falkoping | 4 |
| 39 | Skovde | 12 |
| 40 | Mariestad | 6 |
| 41 | Kristinehamn/ Filipstad | 6 |
| 42 | Karlstad | 21 |
| 43 | Saffle/ Amal | 6 |
| 44 | Arvika | 5 |
| 45 | Orebro | 25 |
| 46 | Karlskoga | 0 |
| 47 | Lindesberg | 7 |
| 48 | Vasteras | 12 |
| 49 | Koping | 7 |
| 50 | Fagersta | 3 |
| 51 | Sala | 4 |
| 52 | Borlange/ Falun | 22 |
| 53 | Avesta/ Hedemora | 10 |
| 54 | Ludvika | 2 |
| 55 | Mora | 7 |
| 56 | Gavle/ Sandviken | 19 |
| 57 | Bollnas/ Soderhamn | 11 |
| 58 | Hudiksvall/ Ljusdal | 8 |
| 59 | Sundsvall | 13 |
| 60 | Harnosand/ Kramfors | 4 |
| 61 | Solleftea | 4 |
| 62 | Ornskoldsvik | 7 |
| 63 | Ostersund | 18 |
| 64 | Umea | 20 |
| 65 | Skelleftea | 9 |
| 66 | Lycksele | 7 |
| 67 | Pitea | 10 |
| 68 | Lulea/ Boden | 18 |
| 69 | Haparanda/ Kalix | 4 |
| 70 | Kiruna/ Gallivare | 5 |
| 0 | NAP, other countries | 47580 |
| 9999 | No answer | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1136 | 47584 | 1 | 70 |
Valid range from 1 to 70
SI_REG Country specific region: Slovenia
| Value 38016 | Frequency | |
|---|---|---|
| 1 | Pomurska | 77 |
| 2 | Podravska | 147 |
| 3 | Koroska | 40 |
| 4 | Savinjska | 147 |
| 5 | Gorenjska | 85 |
| 6 | Zasavska | 30 |
| 7 | Osrednja | 229 |
| 8 | Spodnjeposavska | 50 |
| 9 | Dolenjska | 88 |
| 10 | Goriska | 59 |
| 11 | Obalnokraska | 49 |
| 12 | Kraska | 23 |
| 0 | NAP, other countries | 47696 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1024 | 47696 | 1 | 12 |
Valid range from 1 to 12
SK_REG Country specific region: Slovakia
| Value 38115 | Frequency | |
|---|---|---|
| 1 | Bratislava county | 104 |
| 2 | Trnava county | 121 |
| 3 | Trencin county | 118 |
| 4 | Nitra county | 165 |
| 5 | Zilina county | 118 |
| 6 | Banska Bystrica county | 147 |
| 7 | Presov county | 189 |
| 8 | Kosice county | 188 |
| 0 | NAP, other countries | 47570 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1150 | 47570 | 1 | 8 |
Valid range from 1 to 8
SR_REG Country specific region: Suriname
| Value 38214 | Frequency | |
|---|---|---|
| 1 | Paramaribo | 519 |
| 2 | Wanica | 276 |
| 3 | Commewijne | 89 |
| 4 | Saramacca | 47 |
| 5 | Coronie | 17 |
| 6 | Nickerie | 120 |
| 7 | Para | 46 |
| 8 | Brokopondo | 55 |
| 9 | Marowijne | 46 |
| 10 | Sipaliwini | 58 |
| 0 | NAP, other countries | 47447 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1273 | 47447 |
Valid range from 1 to 10
TH_REG Country specific region: Thailand
| Value 38313 | Frequency | |
|---|---|---|
| 1 | Bangkok | 130 |
| 2 | North | 276 |
| 3 | Northeast | 496 |
| 4 | Central | 381 |
| 5 | South | 192 |
| 0 | NAP, other countries | 47245 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1475 | 47245 | 1 | 5 |
Valid range from 1 to 5
TR_REG Country specific region: Turkey
| Value 38412 | Frequency | |
|---|---|---|
| 1 | Istanbul | 263 |
| 2 | Aegean | 168 |
| 3 | Mediterranean | 193 |
| 4 | Southeastern Anatolia | 155 |
| 5 | Western Anatolia | 135 |
| 6 | Eastern Marmara | 152 |
| 7 | Western Black Sea | 127 |
| 8 | Central Anatolia | 108 |
| 9 | Central Eastern Anatolia | 49 |
| 10 | Eastern Black Sea | 53 |
| 11 | Western Marmara | 91 |
| 12 | North Eastern Anatolia | 41 |
| 0 | NAP, other countries | 47185 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1535 | 47185 |
Valid range from 1 to 12
TW_REG Country specific region: Taiwan
| Value 38511 | Frequency | |
|---|---|---|
| 1 | Keelung city | 34 |
| 2 | Taipei city | 190 |
| 3 | New Taipei city | 385 |
| 4 | Taoyuan city | 201 |
| 5 | Hsinchu city | 39 |
| 6 | Hsinchu county | 30 |
| 7 | Miaoli county | 25 |
| 8 | Taichung city | 226 |
| 9 | Taichung county | 0 |
| 10 | Nantou county | 38 |
| 11 | Changhua county | 107 |
| 12 | Yunlin county | 44 |
| 13 | Chiayi city | 30 |
| 14 | Chiayi county | 29 |
| 15 | Tainan city | 163 |
| 16 | Tainan county | 0 |
| 17 | Kaohsiung city | 240 |
| 18 | Kaohsiung county | 0 |
| 19 | Pingtung county | 72 |
| 20 | Ilan county | 55 |
| 21 | Hualien county | 14 |
| 22 | Taitung county | 36 |
| 23 | Penghu county | 0 |
| 0 | NAP, other countries | 46754 |
| 9999 | No answer | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1958 | 46762 |
Valid range from 1 to 23
US_REG Country specific region: United States
| Value 38610 | Frequency | |
|---|---|---|
| 1 | New England | 83 |
| 2 | Middle Atlantic | 141 |
| 3 | East North Central | 238 |
| 4 | West North Central | 97 |
| 5 | South Atlantic | 265 |
| 6 | East South Central | 104 |
| 7 | West South Central | 145 |
| 8 | Mountain | 121 |
| 9 | Pacific | 196 |
| 0 | NAP, other countries | 47330 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1390 | 47330 |
Valid range from 1 to 9
VE_REG Country specific region: Venezuela
| Value 3879 | Frequency | |
|---|---|---|
| 1 | Distrito Capital | 110 |
| 2 | Amazonas | 0 |
| 3 | Anzoategui | 65 |
| 4 | Apure | 10 |
| 5 | Aragua | 60 |
| 6 | Barinas | 30 |
| 7 | Bolivar | 50 |
| 8 | Carabobo | 90 |
| 9 | Cojedes | 10 |
| 10 | Delta Amacuro | 0 |
| 11 | Falcon | 34 |
| 12 | Guarico | 26 |
| 13 | Lara | 60 |
| 14 | Merida | 30 |
| 15 | Miranda | 120 |
| 16 | Monagas | 30 |
| 17 | Nueva Esparta | 13 |
| 18 | Portuguesa | 37 |
| 19 | Sucre | 30 |
| 20 | Tachira | 50 |
| 21 | Trujillo | 30 |
| 22 | Vargas | 20 |
| 23 | Yaracuy | 20 |
| 24 | Zulia | 120 |
| 0 | NAP, other countries | 47675 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1045 | 47675 |
Valid range from 1 to 24
ZA_REG Country specific region: South Africa
| Value 3888 | Frequency | |
|---|---|---|
| 1 | Western Cape | 377 |
| 2 | Eastern Cape | 420 |
| 3 | Northern Cape | 217 |
| 4 | Free State | 229 |
| 5 | Kwa-Zulu Natal | 576 |
| 6 | North West | 225 |
| 7 | Gauteng | 478 |
| 8 | Mpumalanga | 246 |
| 9 | Limpopo | 295 |
| 0 | NAP, other countries | 45657 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 3063 | 45657 |
Valid range from 1 to 9
CASEID ID Number of Respondent
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48720 | 0 | 2016000000000000.0 | 2016830000000000.0 | 2016050000000000.0 | 159921839504.984 |
Valid range from 2.01600036018973e+15 to 2.01682601280294e+15
SUBSCASE Case substitution flag
| Value 3906 | Frequency | |
|---|---|---|
| 0 | No substitution in this survey | 43071 |
| 1 | Case from original sample | 4272 |
| 2 | Case substituted | 1377 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48720 | 0 | 0 | 2 |
Valid range from 0 to 2
DATEYR Date of interview: year of interview: YYYY (four digits)
| Value 3915 | Frequency | |
|---|---|---|
| 2015 | Year 2015 | 652 |
| 2016 | Year 2016 | 33446 |
| 2017 | Year 2017 | 11088 |
| 2018 | Year 2018 | 3494 |
| 9999 | No answer, information missing | 40 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48680 | 40 | 2015 | 2018 |
Valid range from 2015 to 2018
DATEMO Date of interview: month of interview: MM (two digits)
| Value 3924 | Frequency | |
|---|---|---|
| 1 | January | 1719 |
| 2 | February | 8081 |
| 3 | March | 3854 |
| 4 | April | 3945 |
| 5 | May | 1989 |
| 6 | June | 4545 |
| 7 | July | 6396 |
| 8 | August | 4125 |
| 9 | September | 5003 |
| 10 | October | 3152 |
| 11 | November | 3894 |
| 12 | December | 1950 |
| 99 | No answer, information missing | 67 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48653 | 67 | 1 | 12 |
Valid range from 1 to 12
DATEDY Date of interview: day of interview: DD (two digits)
| Value 3933 | Frequency | |
|---|---|---|
| 1 | 1. | 1687 |
| 31 | 31. | 949 |
| 99 | No answer, information missing | 66 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48654 | 66 | 1 | 31 |
Valid range from 1 to 31
WEIGHT Weighting factor
| Value 3942 | Frequency | |
|---|---|---|
| 1 | No weighting/ CH: Design weight with all R having same prob | 13725 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48720 | 0 | 0.0058 | 9.629 |
Valid range from 0.0057983783319444 to 9.62859779378008
MODE Administrative mode of data-collection
| Value 3951 | Frequency | |
|---|---|---|
| 10 | Face-to-face, PAPI, no visuals | 4541 |
| 11 | Face-to-face, PAPI, visuals | 7149 |
| 12 | Face-to-face, PAPI, Respondent reading questionnaire | 109 |
| 13 | Face-to-face, PAPI, interpreter or translator, no visuals | 20 |
| 14 | Face-to-face, PAPI, interpreter or translator, visuals | 5798 |
| 20 | CAPI, computer assisted personal interview, no visuals | 2097 |
| 21 | CAPI, computer assisted personal interview, visuals | 11547 |
| 22 | CAPI, Respondent reading questionnaire (paper or on monitor) | 2 |
| 23 | CAPI, interpreter or translator, no visuals | 4 |
| 24 | CAPI, interpreter or translator, visuals | 0 |
| 30 | Self completion, arrives with interviewer, interviewer atten | 1461 |
| 31 | Self completion, arrives with interviewer, drops-off, picks | 2067 |
| 32 | Self completion, arrives with interviewer, drops-off, mailed | 193 |
| 33 | Self completion, mailed to, completed by R and hold for pick | 0 |
| 34 | Self completion, mailed to, mailed back by Respondent | 6568 |
| 40 | CASI, self-completion, computer-assisted | 1422 |
| 50 | CAWI, self-completion, web questionnaire | 5548 |
| 60 | Telephone interview | 102 |
| 99 | No answer, mode not reported | 92 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48628 | 92 | 10 | 60 |
Valid range from 10 to 60
Materials of the Study
- ISSP raziskovalna skupina (2015). 2016 Role of Government questionnaire Source Questionnaire [Vprašalnik].
- ISSP raziskovalna skupina (2015). ISSP 2016 - Role of Government V, Background variables for all participating countries [Ostalo gradivo].
Study Results Materials
- ISSP raziskovalna skupina (2018). International Social Survey Programme - Home Page.
Related Publications
There is no information about publications related to this study!
Access to data and documentation - Nesstar
TERMS OF USE:
The Slovenian Social Science Data Archives does not distribute data of this study. For more information please contact the author or the responsible organization.
DOCUMENTATION STATUS
2 - Polni opis raziskave.
CLASS OF THE STUDY
9 - najvišji rang, primerjalne ali kontinuirane raziskave, pomembne populacije, metodološko ustrezne
How to CITE this study?
ISSP raziskovalna skupina. (2018). Mednarodna splošna družboslovna anketa (ISSP), 2016: Vloga države V [Podatkovna datoteka]. Cologne: GESIS Datenarchiv. ZA6900, Različica 2.0.0. http://dx.doi.org/10.4232/1.13052 ADP - IDNo: ISSP16.
More information can be found on the publisher's page.
SIMILAR STUDIES
ISSP - Mednarodna splošna družboslovna anketa: Opis serije
ISSP00 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija II
ISSP01 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki II
ISSP - Mednarodna splošna družboslovna anketa: Opis serije
ISSP00 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija II
ISSP01 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki II
ISSP02 - Mednarodna splošna družboslovna anketa (ISSP), 2002: Družina III
ISSP03 - Mednarodna splošna družboslovna anketa (ISSP), 2003: Nacionalna identiteta II
ISSP04 - Mednarodna splošna družboslovna anketa (ISSP), 2004: Razumevanje vloge državljana
ISSP05 - Mednarodna splošna družboslovna anketa (ISSP), 2005: Stališča o delu III
ISSP06 - Mednarodna splošna družboslovna anketa (ISSP), 2006: Vloga države IV
ISSP07 - Mednarodna splošna družboslovna anketa (ISSP), 2007: Prosti čas in šport I
ISSP08 - Mednarodna splošna družboslovna anketa (ISSP), 2008: Religija III
ISSP09 - Mednarodna splošna družboslovna anketa (ISSP), 2009: Družbena neenakost IV
ISSP10 - Mednarodna splošna družboslovna anketa (ISSP), 2010: Okolje III
ISSP11 - Mednarodna splošna družboslovna anketa (ISSP), 2011: Zdravje
ISSP13 - Mednarodna splošna družboslovna anketa (ISSP), 2013: Nacionalna identiteta III
ISSP14 - Mednarodna splošna družboslovna anketa (ISSP), 2014: Razumevanje vloge državljana II
ISSP15 - Mednarodna splošna družboslovna anketa (ISSP), 2015: Stališča o delu IV
ISSP85 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države I
ISSP86 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki
ISSP87 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost I
ISSP88 - Mednarodna splošna družboslovna anketa (ISSP): Družina I
ISSP89 - Mednarodna splošna družboslovna anketa (ISSP): Stališča o delu I
ISSP90 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države II
ISSP91 - Mednarodna splošna družboslovna anketa (ISSP): Mednarodna raziskava o vernosti in cerkvi I
ISSP92 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost II
ISSP93 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija
ISSP94 - Mednarodna splošna družboslovna anketa (ISSP): Družina II
ISSP95 - Mednarodna splošna družboslovna anketa (ISSP): Mednarodna raziskava narodne identitete
ISSP96 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države III
ISSP97 - Mednarodna splošna družboslovna anketa (ISSP): Stališča o delu II
ISSP98 - Mednarodna splošna družboslovna anketa (ISSP): Raziskava o vernosti in cerkvi II
ISSP99 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost III
SJM002 - Slovensko javno mnenje 2000/2: Raziskava o okolju in raziskava o medčloveških stikih (ISSP)
SJM034 - Slovensko javno mnenje 2003/4: Razumevanje vloge državljana / Mednarodna raziskava ISSP
SJM051 - Slovensko javno mnenje 2005/1: Mednarodna raziskava Stališča o delu
SJM932 - Slovensko javno mnenje 1993/2: Mednarodna raziskava o okolju in družini
SJM944 - Slovensko javno mnenje 1994/4: Mednarodna raziskava narodne identitete
SJM973 - Slovensko javno mnenje 1997/3: Mednarodna raziskava Stališča o delu in ekološka sondaža
SJM981 - Slovensko javno mnenje 1998/1: Mednarodna raziskava o neenakosti in religiji
SJMUST89 - Slovensko javno mnenje, 1989: Stališča o ustavnih dopolnilih
RECENTLY ADDED STUDIES
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CONFERENCES AND EVENTS
