Mednarodna splošna družboslovna anketa (ISSP), 2006: Vloga države IV
Basic Study Information
ADP - IDNo: ISSP06
Main author(s):
Co-workers:
- Timothy Philips, Deborah Mitchell
- Jon Pammett
- Carolina Segovia
- Dinka Marinović Jerolimov, Boris Jokić
- Petr Mateju, Lukas Linek
- Jørgen Goul Andersen, Johannes Andersen
- Carlos Dore
- Raimo Blom
- Yannick Lemel, Michel Forsé
- Harri Melin
- Peter Mohler
- Alison Park, Mark Johnson, Roger Jowell
- Peter Robert
- Máire Ni Ghiolla Phadraig
- Noah Lewin-Epstein
- Hiroshi Aramaki, Miwako Hara, Kumiko Nishi
- Aivars Tabuns, Ilze Koroleva
- Harry Ganzeboom
- Philip Gendall
- Knut Kalgraff Skjåk
- Linda Luz Guerrero, Mahar Mangahas, Gerardo Sanoval
- Bogdan Cichomski
- Manuel Villaverde Cabral, Jorge Vala
- Ludmilla Khakhulina
- Niko Toš
- Jare Struwig
- Sang-Wook Kim
- Juan Diez-Nicolás
- Natalia Garcia-Pardo, Mónica Méndez Lago
- Jonas Edlund, Stefan Svallfors
- Dominique Joye, Nicole Schoebi
- Yang-chih Fu
- Tom W. Smith, James A. Davis
- Peter V. Marsden
- Giorgina Piani, Máximo Rossi, Zuleika Ferre
- Juan José Goyeneche, Guillermo Zoppolo
- Roberto Briceno-León, Alaberto Camardiel, Olga Ávilla
Data file producer:
ZA - Zentralarchiv für Empirische Sozialforschung, Nemčija (Köln, Nemčija; 2006)
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 raziskava vsebuje vprašanja o odnosu posameznika do različnih družbenih tem kot so pravni sistem, spol in gospodarstvo. Poglobljeno obravnavane teme zajemajo okolje, vlogo vlade, družbeno neenakost, socialno podporo, vlogo družine in spola, delovno usmeritev, vpliv religije, vedenja in verovanj na družbene in politične preference, ter nacionalno identiteto. Sodelujoče države so različne od enega do drugega tematskega modula. Prva raziskava je bila izvedena v letih 1985/86 v šestih državah, danes pa ima ISSP 40 držav članic po vsem svetu.
Study Content
Keywords:
brezpogojno upoštevanje zakonov, vladni ukrepi, protesti in demonstracije, protivladne stranke, revolucionarji, napačne pravice, vladni izdatki, financiranje projektov, podpora industriji, vladni denar, okolje, zdravje, policija in organi pregona, izobraževalni tečaji, vojska in obramba, brezposelnost, kultura in umetnost, uspešnost vlade, zagotavljanje delovnih mest, cene, zdravstveno varstvo, življenjski standard, razlike v dohodkih, finančna pomoč študentom, zagotavljanje dostojnih življenjskih razmer, grožnje za varnost v državi, nadzorovanje kriminala, pravice organov, zanimanje za politiko, politični vpliv, obveščenost ljudi, držanje obljub, zaupanje javnim uslužbencem, davki v državi, zaupanje ljudem, izkoriščanje ljudi, vplivanje na pomembne odločitve, kontaktne osebe, pravičnost javnih uslužbencev, izkušnje s korupcijo, odgovornost vlade, upokojitev in pokojnine
Keywords ELSST:
DRŽAVNA POLITIKA, DRUŽBENA NEENAKOST, ZAUPANJE, ZADOVOLJSTVO, DRUŽBENE VREDNOTE, DRUŽBENA STALIŠČA, IDENTITETA, DRŽAVLJANSTVO, DRŽAVLJANSTVO
Topic Classification CESSDA
POLITIKA - vlada, politični sistemi in organizacije
DRUŽBA IN KULTURA - družbene navade in stališča
Topic Classification CERIF
Sociologija
Topic Classification ADP
DRUŽBA
KULTURA
POLITIKA
DELO IN ZAPOSLOVANJE
ZDRAVSTVENO VARSTVO
Abstract:
Mednarodna družboslovna anketa (ISSP) je kontinuiran program mednarodnega sodelovanja. Skupina, razvija različne raziskovalne module, ki se dotikajo pomembnih družbenih vprašanj in katerih namen je dodati medkulturno perspektivo. Študija zajema teme: o zakonodaji; o odnosu do različnih oblik dela vlade; o odnosu do različnih javnih institucij in socialne države; o odnosu do državne intervencije v gospodarstvo in gospodarski rasti; o zmanjševanju dohodkovne razlike; varstvu okolja; političnih interesih; zagotavljanju zdravstvenega varstva in življenjskega standarda; o državni varnosti; nadzorovanju kriminala; varovanju okolja; o zaupanju v politične, javne in civilne uslužbence; o ocenjevanju davčne pravičnosti.
Methodology
| Collection date: | Zbiranje podatkov v sodelujočih državah je potekalo od 15. marca 2005 - do 5. maja 2008., Zbiranje podatkov na terenu je potekalo: Avstralija: 11. julij 2007 - 16. oktober 2007;, Kanada: 03. marec 2006 - 31. oktober 2006;, Čile: 24. junij 2006 - 13. julij 2006;, Hrvaška: 01. oktober 2006 - 30. november 2006;, Češka: 19. oktober 2006 - 27. november 2006;, Danska: 30. januar 2008 - 05. maj 2008;, Dominikanska Republilka: 16. november 2006 - 04. december 2006;, Finska: 20. september 2006 - 24. november 2006;, Francija: september 2006 - december 2006;, Nemčija: 18. marec 2006 - 21. avgust 2006;, Velika Britanija: 01. junij 2006 - 01. november 2006;, Madžarska: 05. januar 2006 - 23. januar 2006;, Irska: oktober 2005 - februar 2006;, Izrael: 15. marec 2005 - 15. avgust 2005;, Japonska: 18. november 2006 - 26. november 2006;, Latvija: 29. maj 2007 - 19. junij 2007;, Nizozemska: 15. marec 2006 - 15. december 2006;, Nova Zelandija: 10. avgust 2006 - 10. oktober 2006;, Norveška: 20. september 2006 - 17. november 2006;, Filipini: 08. marec 2006 - 14. marec 2006;, Poljska: 06. februar 2008 - 25. februar 2008;, Portugalska: 09. oktober 2006 - 19. februar 2007;, Rusija: 03. januar 2007 - 22. januar 2007;, Slovenija: 15. oktober 2006 - 15. november 2006;, Južna Afrika: 22. avgust 2006 - 10. oktober 2006;, Južna Koreja: 25. junij 2006 - 31. avgust 2006;, Španija: 15. januar 2007 - 15. marec 2007;, Švedska: 07. februar 2006 - 28. april 2006;, Švica: 08. februar 2007 - 14. avgust 2007;, Tajvan: 16. julij 2006 - 18. september 2006;, ZDA: 07. marec 2006 - 07. avgust 2006;, Urugvaj: 06. november 2006 - 23. december 2006;, Venezuela: Ni podatka. |
|---|---|
| Date of production: | 2006 |
| Country: | Avstralija, Kanada, Čile, Hrvaška, Češka, Danska, Dominikanska Republika, Finska, Flandrija (Belgija), Francija, Nemčija, Velika Britanija, Madžarska, Irska, Izrael, Japonska, Latvija, Nizozemska, Nova Zelandija, Norveška, Filipini, Poljska, Portugalska, Rusija, Slovenija, Južna Afrika, Južna Koreja, Španija, Švedska, Švica, Tajvan, ZDA, Urugvaj, Venezuela |
| Geographic coverage: |
Teritorij naštetih držav |
| Unit of analysis: |
posameznik |
| Universe: |
V splošnem gre za prebivalce države stare 18 let in več (Finska 15 let in več, Južna Afrika 16 let in več, Švedska 17 let in več, Japonska 16 let in več ter Rusija 16 let in več), kjer je bila izvedena anketa. Za več informacij glej povezavo: https://info1.za.gesis.org/dbksearch13/download.asp?id=14149 |
| Excluded: | no information |
| Data collected by: |
AU - Deakin Computer Assisted Research Facility; BG - Agency for Social Analyses (ASA), Sofia and PDP; CA - Carleton University Survey Centre, Ottawa; CZ - SC and C, Institute of Market Investigation, Prague; DK - SFI Survey, Copenhagen; DO - Asisa Research Group (ARG); FI - Statistics Finland, Helsinki; FR - FRANCE-ISSP Association Laboratoire de Sociologie Quantitative, Malakoff; DE - TNS Infratest, München; GB - National Centre for Social Research; HU - TARKI Social Research Centre; IE - Economic and Social Research Institute, Dublin; IL - B.I. and Lucille Cohen Institute for Public Opinion Research; JP - Central Research Services, Tokyo; LV - Institute of Philosophy and Sociology, University of Latvia, Riga; NL - Faculty of Social Sciences, Vrije Universiteit Amsterdam; NZ - Massey University, Department of Marketing; NO - TNS Gallup, Oslo; PH - Social Weather Stations, Quezon City; PL - Public Opinion Research Center (CBOS); PT - TNS-Euroteste, Lisbon; RU - Levada-Center, Moscow; SI - Public Opinion and Mass Communication Research Centre, Ljubljana; ES - Análisis Sociológicos Económicos y Políticos (ASEP), Madrid ZA - Human Sciences Research Council; KR - Survey Research Center, Sungkyunkwan University, Seoul; SE - SIFO Research and Consulting, Stockholm; CH - MIS Trend, Institut pour l`étude des marchés et les sondages d`opinion, Lausanne; TW - Center of Survey Research, Academia Sinica; US - National Opinion Research Center NORC, University of Chicago; UY - Department of Economic - Faculty of Social Sciences, University of Uruguay, Montevideo; VE - Laboratorio de Ciencias Sociales, LACSO; drugo - ni v poročilu. |
| Sampling procedure: |
Vzorčenje se razlikuje glede na posamezne države: deloma enostaven, deloma večstopenjski stratificiran naključni vzorec. Podrobnosti na: https://info1.za.gesis.org/dbksearch13/download.asp?id=14149 |
| Mode of data collection: |
Osebni intervju, poštna anketa in samo-anketiranje (odvisno od države). |
| Weighting: |
Da (CA, CH, CL, CZ, FI, FR, GB, HU, IE, NL, PH, PL, PT, RU, TW, US, UY, VE, ZA). Za podrobnosti o uteževanju glej: https://info1.za.gesis.org/dbksearch13/download.asp?id=14149 |
Access restrictions
Več o omejitvah dostopa in pogojih uporabe na naslovu: http://www.gesis.org/en/services/data/retrieval-data-access/data-archive-service/usage-regulations/.
Več o pravilnem navajanju podatkov na naslovu: http://www.gesis.org/en/services/data/retrieval-data-access/data-archive-service/usage-regulations/.
Več o uporabnikovi odgovornosti obveščanja arhiva o uporabi podatkov in objavi del na naslovu: http://www.gesis.org/en/services/data/retrieval-data-access/data-archive-service/usage-regulations/.
Basic Data File Description
Title of Data file: ISSP06 - ISSP: Role of Government IV [ZA4700] [datoteka podatkov], 2009
Format: OSTALO
- number of variables: 291
- number of units: 48641
Variable list
v1 ZA Study Number
| Value 13 | Frequency | |
|---|---|---|
| 4700 | ZA Study Number ISSP 2006 | 48641 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48641 | 0 |
Valid range from 4700 to 4700
version Edition of the data set
| Value 22 | Frequency | |
|---|---|---|
| 1 | First GESIS-ZA edition, August, 18, 2008 | 48641 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48641 | 0 |
Valid range from 1 to 1
v2 Respondent ID Number
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48641 | 0 |
Valid range from 1 to 981759
v1 ZA Study Number
| Value 1291 | Frequency | |
|---|---|---|
| 4700 | ZA Study Number ISSP 2006 | 48641 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48641 | 0 |
Valid range from 4700 to 4700
version Edition of the data set
| Value 2290 | Frequency | |
|---|---|---|
| 1 | First GESIS-ZA edition, August, 18, 2008 | 48641 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48641 | 0 |
Valid range from 1 to 1
v2 Respondent ID Number
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48641 | 0 |
Valid range from 1 to 981759
v3 Country/Sample (see V3A for codes for whole nation states)
| Value 4288 | Frequency | |
|---|---|---|
| 36 | AU-Australia | 2781 |
| 124 | CA-Canada | 933 |
| 152 | CL-Chile | 1505 |
| 158 | TW-Taiwan | 1972 |
| 191 | HR-Croatia | 1200 |
| 203 | CZ-Czech Republic | 1201 |
| 208 | DK-Denmark | 1368 |
| 214 | DO-Dominican Republic | 2106 |
| 246 | FI-Finland | 1189 |
| 250 | FR-France | 1824 |
| 276.1 | DE-W-Germany-West | 1112 |
| 276.2 | DE-E-Germany-East | 531 |
| 348 | HU-Hungary | 1010 |
| 372 | IE-Ireland | 1001 |
| 376.1 | IL-Israel-Jews | 1038 |
| 376.2 | IL-Israel-Arabs | 307 |
| 392 | JP-Japan | 1231 |
| 410 | KR-South Korea | 1605 |
| 428 | LV-Latvia | 1069 |
| 528 | NL-Netherlands | 993 |
| 554 | NZ-New Zealand | 1263 |
| 561 | FLA-Flanders | 0 |
| 578 | NO-Norway | 1330 |
| 608 | PH-Philippines | 1200 |
| 616 | PL-Poland | 1293 |
| 620 | PT-Portugal | 1837 |
| 643 | RU-Russia | 2407 |
| 703 | SK-Slovak Republic | 0 |
| 705 | SI-Slovenia | 1003 |
| 710 | ZA-South Africa | 2939 |
| 724 | ES-Spain | 2517 |
| 752 | SE-Sweden | 1194 |
| 756 | CH-Switzerland | 1003 |
| 826.1 | GB-Great Britain | 930 |
| 840 | US-United States | 1518 |
| 858 | UY-Uruguay | 1031 |
| 862 | VE-Venezuela | 1200 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48641 | 0 |
Valid range from 36 to 862
v3a ISO code of country
| Value 5287 | Frequency | |
|---|---|---|
| 36 | AU-Australia | 2781 |
| 40 | AT-Austria | 0 |
| 56 | BE-Belgium | 0 |
| 76 | BR-Brazil | 0 |
| 100 | BG-Bulgaria | 0 |
| 124 | CA-Canada | 933 |
| 152 | CL-Chile | 1505 |
| 158 | TW-Taiwan | 1972 |
| 191 | HR-Croatia | 1200 |
| 196 | CY-Cyprus | 0 |
| 203 | CZ-Czech Republic | 1201 |
| 208 | DK-Denmark | 1368 |
| 214 | DO-Dominican Republic | 2106 |
| 246 | FI-Finland | 1189 |
| 250 | FR-France | 1824 |
| 276 | DE-Germany | 1643 |
| 348 | HU-Hungary | 1010 |
| 372 | IE-Ireland | 1001 |
| 376 | IL-Israel | 1345 |
| 392 | JP-Japan | 1231 |
| 410 | KR-South Korea | 1605 |
| 428 | LV-Latvia | 1069 |
| 484 | MX-Mexico | 0 |
| 528 | NL-Netherlands | 993 |
| 554 | NZ-New Zealand | 1263 |
| 578 | NO-Norway | 1330 |
| 608 | PH-Philippines | 1200 |
| 616 | PL-Poland | 1293 |
| 620 | PT-Portugal | 1837 |
| 643 | RU-Russia | 2407 |
| 703 | SK-Slovak Republic | 0 |
| 705 | SI-Slovenia | 1003 |
| 710 | ZA-South Africa | 2939 |
| 724 | ES-Spain | 2517 |
| 752 | SE-Sweden | 1194 |
| 756 | CH-Switzerland | 1003 |
| 792 | TR-Turkey | 0 |
| 826 | GB-Great Britain | 930 |
| 840 | US-United States | 1518 |
| 858 | UY-Uruguay | 1031 |
| 862 | VE-Venezuela | 1200 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48641 | 0 |
Valid range from 36 to 862
v4 Q1: Obey laws without exception
| Value 6286 | Frequency | |
|---|---|---|
| 1 | Obey the law without exception | 23317 |
| 2 | Follow conscience on occasions | 22049 |
| 8 | Cant choose | 2549 |
| 9 | NA | 726 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45366 | 3275 |
Valid range from 1 to 2
v5 Q2a: Public protest meetings
| Value 7285 | Frequency | |
|---|---|---|
| 1 | Definitely allowed | 22496 |
| 2 | Probably allowed | 15619 |
| 3 | Probably not allowed | 4432 |
| 4 | Definitely not allowed | 3136 |
| 8 | Cant choose | 2296 |
| 9 | NA | 662 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45683 | 2958 |
Valid range from 1 to 4
v6 Q2b: Protest demonstrations
| Value 8284 | Frequency | |
|---|---|---|
| 1 | Definitely allowed | 18289 |
| 2 | Probably allowed | 16552 |
| 3 | Probably not allowed | 6506 |
| 4 | Definitely not allowed | 4167 |
| 8 | Cant choose | 2240 |
| 9 | NA | 887 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45514 | 3127 |
Valid range from 1 to 4
v7 Q2c: National anti-government strike
| Value 9283 | Frequency | |
|---|---|---|
| 1 | Definitely allowed | 11724 |
| 2 | Probably allowed | 13508 |
| 3 | Probably not allowed | 10228 |
| 4 | Definitely not allowed | 9292 |
| 8 | Cant choose | 2977 |
| 9 | NA | 912 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44752 | 3889 |
Valid range from 1 to 4
v8 Q3a: Revolutionaries: hold public meetings
| Value 10282 | Frequency | |
|---|---|---|
| 1 | Definitely allowed | 11443 |
| 2 | Probably allowed | 13552 |
| 3 | Probably not allowed | 9241 |
| 4 | Definitely not allowed | 11067 |
| 8 | Cant choose | 2761 |
| 9 | NA | 577 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45303 | 3338 |
Valid range from 1 to 4
v9 Q3b: Revolutionaries: publish books
| Value 11281 | Frequency | |
|---|---|---|
| 1 | Definitely allowed | 12616 |
| 2 | Probably allowed | 16428 |
| 3 | Probably not allowed | 7826 |
| 4 | Definitely not allowed | 7742 |
| 8 | Cant choose | 3060 |
| 9 | NA | 969 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44612 | 4029 |
Valid range from 1 to 4
v10 Q4: Worse type of justice error
| Value 12280 | Frequency | |
|---|---|---|
| 1 | Convict innocent person | 30192 |
| 2 | Let guilty person go free | 12081 |
| 8 | Cant choose | 5627 |
| 9 | NA | 741 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 42273 | 6368 |
Valid range from 1 to 2
v11 Q5a: Gov. and economy: Cuts in gov. spending
| Value 13279 | Frequency | |
|---|---|---|
| 1 | Strongly in favour of | 13406 |
| 2 | In favour of | 16452 |
| 3 | Neither in favour of nor against | 7814 |
| 4 | Against | 5706 |
| 5 | Strongly against | 2270 |
| 8 | Cant choose | 2259 |
| 9 | NA | 734 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45648 | 2993 |
Valid range from 1 to 5
v12 Q5b: Gov. and economy: Financing projects for new jobs
| Value 14278 | Frequency | |
|---|---|---|
| 1 | Strongly in favour of | 18386 |
| 2 | In favour of | 21526 |
| 3 | Neither in favour of nor against | 4354 |
| 4 | Against | 1924 |
| 5 | Strongly against | 604 |
| 8 | Cant choose | 1236 |
| 9 | NA | 611 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46794 | 1847 |
Valid range from 1 to 5
v13 Q5c: Gov. and economy: Less gov. reg. of business
| Value 15277 | Frequency | |
|---|---|---|
| 1 | Strongly in favour of | 6981 |
| 2 | In favour of | 15114 |
| 3 | Neither in favour of nor against | 11854 |
| 4 | Against | 7631 |
| 5 | Strongly against | 2148 |
| 8 | Cant choose | 4033 |
| 9 | NA | 880 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43728 | 4913 |
Valid range from 1 to 5
v14 Q5d: Gov. and economy: Support industry to develop new products
| Value 16276 | Frequency | |
|---|---|---|
| 1 | Strongly in favour of | 16975 |
| 2 | In favour of | 22382 |
| 3 | Neither in favour of nor against | 5128 |
| 4 | Against | 1493 |
| 5 | Strongly against | 383 |
| 8 | Cant choose | 1623 |
| 9 | NA | 657 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46361 | 2280 |
Valid range from 1 to 5
v15 Q5e: Gov. and economy: Support declining industries to protect jobs
| Value 17275 | Frequency | |
|---|---|---|
| 1 | Strongly in favour of | 11506 |
| 2 | In favour of | 18957 |
| 3 | Neither in favour of nor against | 8138 |
| 4 | Against | 5849 |
| 5 | Strongly against | 1675 |
| 8 | Cant choose | 1910 |
| 9 | NA | 606 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46125 | 2516 |
Valid range from 1 to 5
v16 Q5f: Gov. and economy: Red. working week for more jobs
| Value 18274 | Frequency | |
|---|---|---|
| 1 | Strongly in favour of | 6575 |
| 2 | In favour of | 13209 |
| 3 | Neither in favour of nor against | 10203 |
| 4 | Against | 10626 |
| 5 | Strongly against | 4782 |
| 8 | Cant choose | 2588 |
| 9 | NA | 658 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45395 | 3246 |
Valid range from 1 to 5
v17 Q6a: Government should spend money: Environment
| Value 19273 | Frequency | |
|---|---|---|
| 1 | Spend much more | 7692 |
| 2 | Spend more | 18809 |
| 3 | Spend the same as now | 16129 |
| 4 | Spend less | 2918 |
| 5 | Spend much less | 671 |
| 8 | Cant choose | 1658 |
| 9 | NA | 764 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46219 | 2422 |
Valid range from 1 to 5
v18 Q6b: Government should spend money: Health
| Value 20272 | Frequency | |
|---|---|---|
| 1 | Spend much more | 18268 |
| 2 | Spend more | 21035 |
| 3 | Spend the same as now | 6876 |
| 4 | Spend less | 1051 |
| 5 | Spend much less | 246 |
| 8 | Cant choose | 697 |
| 9 | NA | 468 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47476 | 1165 |
Valid range from 1 to 5
v19 Q6c: Government should spend money: Law enforcement
| Value 21271 | Frequency | |
|---|---|---|
| 1 | Spend much more | 8499 |
| 2 | Spend more | 18444 |
| 3 | Spend the same as now | 15965 |
| 4 | Spend less | 2969 |
| 5 | Spend much less | 810 |
| 8 | Cant choose | 1334 |
| 9 | NA | 620 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46687 | 1954 |
Valid range from 1 to 5
v20 Q6d: Government should spend money: Education
| Value 22270 | Frequency | |
|---|---|---|
| 1 | Spend much more | 16662 |
| 2 | Spend more | 19926 |
| 3 | Spend the same as now | 9414 |
| 4 | Spend less | 937 |
| 5 | Spend much less | 218 |
| 8 | Cant choose | 927 |
| 9 | NA | 557 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47157 | 1484 |
Valid range from 1 to 5
v21 Q6e: Government should spend money: Defence
| Value 23269 | Frequency | |
|---|---|---|
| 1 | Spend much more | 4095 |
| 2 | Spend more | 9356 |
| 3 | Spend the same as now | 18189 |
| 4 | Spend less | 9889 |
| 5 | Spend much less | 4553 |
| 8 | Cant choose | 1839 |
| 9 | NA | 720 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46082 | 2559 |
Valid range from 1 to 5
v22 Q6f: Government should spend money: Retirement
| Value 24268 | Frequency | |
|---|---|---|
| 1 | Spend much more | 14024 |
| 2 | Spend more | 19694 |
| 3 | Spend the same as now | 11876 |
| 4 | Spend less | 1212 |
| 5 | Spend much less | 312 |
| 8 | Cant choose | 959 |
| 9 | NA | 564 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47118 | 1523 |
Valid range from 1 to 5
v23 Q6g: Government should spend money: Unempl. benefits
| Value 25267 | Frequency | |
|---|---|---|
| 1 | Spend much more | 6071 |
| 2 | Spend more | 12084 |
| 3 | Spend the same as now | 16734 |
| 4 | Spend less | 5957 |
| 5 | Spend much less | 2171 |
| 0 | 3306 | |
| 8 | Cant choose | 1705 |
| 9 | NA | 613 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43017 | 5624 |
Valid range from 1 to 5
v24 Q6h: Government should spend money: Culture and arts
| Value 26266 | Frequency | |
|---|---|---|
| 1 | Spend much more | 4162 |
| 2 | Spend more | 11734 |
| 3 | Spend the same as now | 19496 |
| 4 | Spend less | 7172 |
| 5 | Spend much less | 3336 |
| 8 | Cant choose | 2042 |
| 9 | NA | 699 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45900 | 2741 |
Valid range from 1 to 5
v25 Q7a: Gov. responsibility: Provide job for everyone
| Value 27265 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 18115 |
| 2 | Probably should be | 15843 |
| 3 | Probably should not be | 8540 |
| 4 | Definitely should not be | 4350 |
| 8 | Cant choose | 1211 |
| 9 | NA | 582 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46848 | 1793 |
Valid range from 1 to 4
v26 Q7b: Gov. responsibility: Control prices
| Value 28264 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 23992 |
| 2 | Probably should be | 17271 |
| 3 | Probably should not be | 4249 |
| 4 | Definitely should not be | 1594 |
| 8 | Cant choose | 1003 |
| 9 | NA | 532 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47106 | 1535 |
Valid range from 1 to 4
v27 Q7c: Gov. responsibility: Provide health care for sick
| Value 29263 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 32411 |
| 2 | Probably should be | 13489 |
| 3 | Probably should not be | 1402 |
| 4 | Definitely should not be | 322 |
| 8 | Cant choose | 476 |
| 9 | NA | 541 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47624 | 1017 |
Valid range from 1 to 4
v28 Q7d: Gov. responsibility: Provide living standard for the old
| Value 30262 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 30258 |
| 2 | Probably should be | 15329 |
| 3 | Probably should not be | 1714 |
| 4 | Definitely should not be | 298 |
| 8 | Cant choose | 581 |
| 9 | NA | 461 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47599 | 1042 |
Valid range from 1 to 4
v29 Q7e: Gov. responsibility: Help industry grow
| Value 31261 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 16846 |
| 2 | Probably should be | 21661 |
| 3 | Probably should not be | 6208 |
| 4 | Definitely should not be | 1469 |
| 8 | Cant choose | 1814 |
| 9 | NA | 643 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46184 | 2457 |
Valid range from 1 to 4
v30 Q7f: Gov. responsibility: Provide living standard for unemployed
| Value 32260 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 13861 |
| 2 | Probably should be | 20360 |
| 3 | Probably should not be | 8712 |
| 4 | Definitely should not be | 3103 |
| 8 | Cant choose | 1980 |
| 9 | NA | 625 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46036 | 2605 |
Valid range from 1 to 4
v31 Q7g: Gov. responsibility: Reduce income differences betw. rich/ poor
| Value 33259 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 19845 |
| 2 | Probably should be | 15419 |
| 3 | Probably should not be | 7316 |
| 4 | Definitely should not be | 3562 |
| 8 | Cant choose | 1873 |
| 9 | NA | 626 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46142 | 2499 |
Valid range from 1 to 4
v32 Q7h: Gov. responsibility: Financial help to students
| Value 34258 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 24789 |
| 2 | Probably should be | 18166 |
| 3 | Probably should not be | 3279 |
| 4 | Definitely should not be | 897 |
| 8 | Cant choose | 1020 |
| 9 | NA | 490 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47131 | 1510 |
Valid range from 1 to 4
v33 Q7i: Gov. responsibility: Provide decent housing
| Value 35257 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 18394 |
| 2 | Probably should be | 20977 |
| 3 | Probably should not be | 5599 |
| 4 | Definitely should not be | 1536 |
| 8 | Cant choose | 1627 |
| 9 | NA | 508 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46506 | 2135 |
Valid range from 1 to 4
v34 Q7j: Gov. responsibility: Laws to protect environment
| Value 36256 | Frequency | |
|---|---|---|
| 1 | Definitely should be | 26209 |
| 2 | Probably should be | 17299 |
| 3 | Probably should not be | 2479 |
| 4 | Definitely should not be | 548 |
| 8 | Cant choose | 1507 |
| 9 | NA | 599 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46535 | 2106 |
Valid range from 1 to 4
v35 Q8a: Gov. successful: Provide health care for sick
| Value 37255 | Frequency | |
|---|---|---|
| 1 | Very successful | 2842 |
| 2 | Quite successful | 14258 |
| 3 | Neither successful nor unsuccessful | 13714 |
| 4 | Quite unsuccessful | 11606 |
| 5 | Very unsuccessful | 4767 |
| 8 | Cant choose | 977 |
| 9 | NA | 477 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47187 | 1454 |
Valid range from 1 to 5
v36 Q8b: Gov. successful: Provide living standard for old
| Value 38254 | Frequency | |
|---|---|---|
| 1 | Very successful | 2003 |
| 2 | Quite successful | 11588 |
| 3 | Neither successful nor unsuccessful | 14386 |
| 4 | Quite unsuccessful | 13325 |
| 5 | Very unsuccessful | 5517 |
| 8 | Cant choose | 1283 |
| 9 | NA | 539 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46819 | 1822 |
Valid range from 1 to 5
v37 Q8c: Gov. successful: Dealing with threats to security
| Value 39253 | Frequency | |
|---|---|---|
| 1 | Very successful | 3253 |
| 2 | Quite successful | 15327 |
| 3 | Neither successful nor unsuccessful | 14652 |
| 4 | Quite unsuccessful | 7764 |
| 5 | Very unsuccessful | 3121 |
| 8 | Cant choose | 3812 |
| 9 | NA | 712 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44117 | 4524 |
Valid range from 1 to 5
v38 Q8d: Gov. successful: Controlling crime
| Value 40252 | Frequency | |
|---|---|---|
| 1 | Very successful | 1456 |
| 2 | Quite successful | 9853 |
| 3 | Neither successful nor unsuccessful | 13558 |
| 4 | Quite unsuccessful | 14370 |
| 5 | Very unsuccessful | 7468 |
| 8 | Cant choose | 1421 |
| 9 | NA | 515 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46705 | 1936 |
Valid range from 1 to 5
v39 Q8e: Gov. successful: Fighting unemployment
| Value 41251 | Frequency | |
|---|---|---|
| 1 | Very successful | 1733 |
| 2 | Quite successful | 9120 |
| 3 | Neither successful nor unsuccessful | 13521 |
| 4 | Quite unsuccessful | 14237 |
| 5 | Very unsuccessful | 8067 |
| 8 | Cant choose | 1456 |
| 9 | NA | 507 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46678 | 1963 |
Valid range from 1 to 5
v40 Q8f: Gov. successful: Protecting environment
| Value 42250 | Frequency | |
|---|---|---|
| 1 | Very successful | 1667 |
| 2 | Quite successful | 11788 |
| 3 | Neither successful nor unsuccessful | 17368 |
| 4 | Quite unsuccessful | 10554 |
| 5 | Very unsuccessful | 4273 |
| 8 | Cant choose | 2386 |
| 9 | NA | 605 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45650 | 2991 |
Valid range from 1 to 5
v41 Q9a: Gov. detain people
| Value 43249 | Frequency | |
|---|---|---|
| 1 | Definitely should have right | 9149 |
| 2 | Probably should have right | 12019 |
| 3 | Probably should not have right | 11670 |
| 4 | Definitely should not have right | 12443 |
| 8 | Cant choose | 2823 |
| 9 | NA | 537 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45281 | 3360 |
Valid range from 1 to 4
v42 Q9b: Gov. tap telephone
| Value 44248 | Frequency | |
|---|---|---|
| 1 | Definitely should have right | 11192 |
| 2 | Probably should have right | 14293 |
| 3 | Probably should not have right | 9518 |
| 4 | Definitely should not have right | 10767 |
| 8 | Cant choose | 2336 |
| 9 | NA | 535 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45770 | 2871 |
Valid range from 1 to 4
v43 Q9c: Gov. stop/search people randomly
| Value 45247 | Frequency | |
|---|---|---|
| 1 | Definitely should have right | 9256 |
| 2 | Probably should have right | 13607 |
| 3 | Probably should not have right | 10471 |
| 4 | Definitely should not have right | 12445 |
| 8 | Cant choose | 2328 |
| 9 | NA | 534 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45779 | 2862 |
Valid range from 1 to 4
v44 Q10: How much interested in politics
| Value 46246 | Frequency | |
|---|---|---|
| 1 | Very interested | 4050 |
| 2 | Fairly interested | 9444 |
| 3 | Somewhat interested | 14507 |
| 4 | Not very interested | 11534 |
| 5 | Not at all interested | 8290 |
| 8 | Cant choose | 376 |
| 9 | NA | 440 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47825 | 816 |
Valid range from 1 to 5
v45 Q11a: People like me have no say about what gov. does
| Value 47245 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 10912 |
| 2 | Agree | 15479 |
| 3 | Neither agree nor disagree | 7492 |
| 4 | Disagree | 9427 |
| 5 | Strongly disagree | 3841 |
| 8 | Cant choose | 995 |
| 9 | NA | 495 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47151 | 1490 |
Valid range from 1 to 5
v46 Q11b: Average citizen: influence in politics
| Value 48244 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 2827 |
| 2 | Agree | 10798 |
| 3 | Neither agree nor disagree | 9658 |
| 4 | Disagree | 15816 |
| 5 | Strongly disagree | 7398 |
| 8 | Cant choose | 1536 |
| 9 | NA | 608 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46497 | 2144 |
Valid range from 1 to 5
v47 Q11c: Good understanding political issues
| Value 49243 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 4081 |
| 2 | Agree | 16994 |
| 3 | Neither agree nor disagree | 12461 |
| 4 | Disagree | 9137 |
| 5 | Strongly disagree | 3603 |
| 8 | Cant choose | 1795 |
| 9 | NA | 570 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46276 | 2365 |
Valid range from 1 to 5
v48 Q11d: Most people better informed than I am
| Value 50242 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 5120 |
| 2 | Agree | 13997 |
| 3 | Neither agree nor disagree | 12955 |
| 4 | Disagree | 11482 |
| 5 | Strongly disagree | 2678 |
| 8 | Cant choose | 1858 |
| 9 | NA | 551 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46232 | 2409 |
Valid range from 1 to 5
v49 Q11e: MPs try to keep promises
| Value 51241 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 1317 |
| 2 | Agree | 8162 |
| 3 | Neither agree nor disagree | 10990 |
| 4 | Disagree | 15400 |
| 5 | Strongly disagree | 10478 |
| 8 | Cant choose | 1762 |
| 9 | NA | 532 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46347 | 2294 |
Valid range from 1 to 5
v50 Q11f: Trust in civil servants
| Value 52240 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 1485 |
| 2 | Agree | 10987 |
| 3 | Neither agree nor disagree | 12983 |
| 4 | Disagree | 13020 |
| 5 | Strongly disagree | 7512 |
| 8 | Cant choose | 2121 |
| 9 | NA | 533 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45987 | 2654 |
Valid range from 1 to 5
v51 Q12a: Taxes for high incomes
| Value 53239 | Frequency | |
|---|---|---|
| 1 | Much too high | 3681 |
| 2 | Too high | 6908 |
| 3 | About right | 13177 |
| 4 | Too low | 13611 |
| 5 | Much too low | 5822 |
| 8 | Cant choose | 4709 |
| 9 | NA | 733 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43199 | 5442 |
Valid range from 1 to 5
v52 Q12b: Taxes for middle incomes
| Value 54238 | Frequency | |
|---|---|---|
| 1 | Much too high | 6148 |
| 2 | Too high | 19196 |
| 3 | About right | 17027 |
| 4 | Too low | 1766 |
| 5 | Much too low | 303 |
| 8 | Cant choose | 3625 |
| 9 | NA | 576 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44440 | 4201 |
Valid range from 1 to 5
v53 Q12c: Taxes for low incomes
| Value 55237 | Frequency | |
|---|---|---|
| 1 | Much too high | 16339 |
| 2 | Too high | 17300 |
| 3 | About right | 9434 |
| 4 | Too low | 1121 |
| 5 | Much too low | 482 |
| 8 | Cant choose | 3380 |
| 9 | NA | 585 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44676 | 3965 |
Valid range from 1 to 5
v54 Q13a: Only few people to trust
| Value 56236 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 14851 |
| 2 | Agree | 19967 |
| 3 | Neither agree nor disagree | 5306 |
| 4 | Disagree | 5872 |
| 5 | Strongly disagree | 1577 |
| 8 | Cant choose | 721 |
| 9 | NA | 347 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47573 | 1068 |
Valid range from 1 to 5
v55 Q13b: People will take advantage
| Value 57235 | Frequency | |
|---|---|---|
| 1 | Strongly agree | 14003 |
| 2 | Agree | 20196 |
| 3 | Neither agree nor disagree | 7064 |
| 4 | Disagree | 5063 |
| 5 | Strongly disagree | 1120 |
| 8 | Cant choose | 811 |
| 9 | NA | 384 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47446 | 1195 |
Valid range from 1 to 5
v56 Q14a: How often asked to influence
| Value 58234 | Frequency | |
|---|---|---|
| 1 | Never | 21213 |
| 2 | Seldom | 12641 |
| 3 | Occasionally | 10015 |
| 4 | Often | 2760 |
| 8 | Cant choose | 1657 |
| 9 | NA | 355 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46629 | 2012 |
Valid range from 1 to 4
v57 Q14b: People you could ask to influence
| Value 59233 | Frequency | |
|---|---|---|
| 1 | No, nobody | 19317 |
| 2 | Yes, few people | 16877 |
| 3 | Yes, some people | 8498 |
| 4 | Yes, a lot of people | 1310 |
| 8 | Cant choose | 2241 |
| 9 | NA | 398 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46002 | 2639 |
Valid range from 1 to 4
v58 Q15: Public officials deal fairly with people like me
| Value 60232 | Frequency | |
|---|---|---|
| 1 | Almost always | 7121 |
| 2 | Often | 11472 |
| 3 | Occasionally | 12490 |
| 4 | Seldom | 8001 |
| 5 | Almost never | 5441 |
| 8 | Cant choose | 3623 |
| 9 | NA | 493 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44525 | 4116 |
Valid range from 1 to 5
v59 Q16: Treatment by officials depends on contacts
| Value 61231 | Frequency | |
|---|---|---|
| 1 | Definitely does | 16479 |
| 2 | Probably does | 20003 |
| 3 | Probably does not | 6619 |
| 4 | Definitely does not | 1934 |
| 8 | Cant choose | 3115 |
| 9 | NA | 491 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45035 | 3606 |
Valid range from 1 to 4
v60 Q17: Politicians involved in corruption
| Value 62230 | Frequency | |
|---|---|---|
| 1 | Almost none | 2310 |
| 2 | A few | 8008 |
| 3 | Some | 12617 |
| 4 | Quite a lot | 13751 |
| 5 | Almost all | 7051 |
| 8 | Cant choose | 4407 |
| 9 | NA | 497 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43737 | 4904 |
Valid range from 1 to 5
v61 Q18: Public officials involved in corruption
| Value 63229 | Frequency | |
|---|---|---|
| 1 | Almost none | 2069 |
| 2 | A few | 9623 |
| 3 | Some | 14844 |
| 4 | Quite a lot | 12221 |
| 5 | Almost all | 4429 |
| 8 | Cant choose | 4953 |
| 9 | NA | 502 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43186 | 5455 |
Valid range from 1 to 5
v62 Q19: Public officials wanted bribe
| Value 64228 | Frequency | |
|---|---|---|
| 1 | Never | 35826 |
| 2 | Seldom | 4882 |
| 3 | Occasionally | 3166 |
| 4 | Quite often | 1695 |
| 5 | Very often | 336 |
| 8 | Cant choose | 2268 |
| 9 | NA | 468 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45905 | 2736 |
Valid range from 1 to 5
v63 Q20: How many people contact
| Value 65227 | Frequency | |
|---|---|---|
| 1 | 0-4 persons | 7841 |
| 2 | 5-9 | 12830 |
| 3 | 10-19 | 12994 |
| 4 | 20-49 | 8870 |
| 5 | 50 or more | 4923 |
| 8 | Cant choose | 895 |
| 9 | NA | 288 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47458 | 1183 |
Valid range from 1 to 5
sex R: Sex
| Value 66226 | Frequency | |
|---|---|---|
| 1 | Male | 22525 |
| 2 | Female | 26044 |
| 9 | NA, refused | 72 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48569 | 72 |
Valid range from 1 to 2
age R: Age
| Value 67225 | Frequency | |
|---|---|---|
| 15 | 17 | |
| 16 | 104 | |
| 17 | 120 | |
| 18 | 789 | |
| 19 | 789 | |
| 20 | 746 | |
| 21 | 824 | |
| 22 | 708 | |
| 23 | 789 | |
| 24 | 789 | |
| 25 | 845 | |
| 26 | 829 | |
| 27 | 832 | |
| 28 | 826 | |
| 29 | 817 | |
| 30 | 932 | |
| 31 | 808 | |
| 32 | 903 | |
| 33 | 840 | |
| 34 | 896 | |
| 35 | 881 | |
| 36 | 885 | |
| 37 | 856 | |
| 38 | 978 | |
| 39 | 913 | |
| 40 | 1008 | |
| 41 | 917 | |
| 42 | 970 | |
| 43 | 884 | |
| 44 | 892 | |
| 45 | 937 | |
| 46 | 917 | |
| 47 | 898 | |
| 48 | 912 | |
| 49 | 862 | |
| 50 | 976 | |
| 51 | 793 | |
| 52 | 912 | |
| 53 | 837 | |
| 54 | 842 | |
| 55 | 798 | |
| 56 | 820 | |
| 57 | 824 | |
| 58 | 746 | |
| 59 | 839 | |
| 60 | 800 | |
| 61 | 669 | |
| 62 | 683 | |
| 63 | 623 | |
| 64 | 594 | |
| 65 | 646 | |
| 66 | 612 | |
| 67 | 599 | |
| 68 | 588 | |
| 69 | 588 | |
| 70 | 597 | |
| 71 | 488 | |
| 72 | 486 | |
| 73 | 465 | |
| 74 | 455 | |
| 75 | 394 | |
| 76 | 403 | |
| 77 | 368 | |
| 78 | 321 | |
| 79 | 295 | |
| 80 | 298 | |
| 81 | 175 | |
| 82 | 171 | |
| 83 | 159 | |
| 84 | 144 | |
| 85 | 131 | |
| 86 | 101 | |
| 87 | 60 | |
| 88 | 39 | |
| 89 | 38 | |
| 90 | 32 | |
| 91 | 19 | |
| 92 | 20 | |
| 93 | 13 | |
| 94 | 6 | |
| 95 | 5 | |
| 96 | 10 | |
| 97 | 5 | |
| 98 | 1 | |
| 99 | NA, refused | 240 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48401 | 240 |
Valid range from 15 to 98
marital R: Marital status
| Value 68224 | Frequency | |
|---|---|---|
| 1 | Married | 27208 |
| 2 | Widowed | 4053 |
| 3 | Divorced | 3125 |
| 4 | Separated (married but sep./not living w legal spouse) | 1209 |
| 5 | Never married,single | 12686 |
| 9 | NA, refused | 360 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48281 | 360 |
Valid range from 1 to 5
cohab R: Steady life-partner
| Value 69223 | Frequency | |
|---|---|---|
| 1 | Yes | 3998 |
| 2 | No | 16787 |
| 0 | NAP (married);Not available:VE | 27189 |
| 9 | NA | 667 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 20785 | 27856 |
Valid range from 1 to 2
educyrs R: Education I: years of schooling
| Value 70222 | Frequency | |
|---|---|---|
| 1 | 165 | |
| 2 | 281 | |
| 3 | 523 | |
| 4 | 1068 | |
| 5 | 573 | |
| 6 | 1855 | |
| 7 | 1013 | |
| 8 | 3515 | |
| 9 | 2518 | |
| 10 | 3603 | |
| 11 | 4313 | |
| 12 | 7528 | |
| 13 | 3018 | |
| 14 | 2954 | |
| 15 | 2344 | |
| 16 | 3292 | |
| 17 | 1654 | |
| 18 | 1632 | |
| 19 | 586 | |
| 20 | 542 | |
| 21 | 178 | |
| 22 | 139 | |
| 23 | 80 | |
| 24 | 48 | |
| 25 | 36 | |
| 26 | 21 | |
| 27 | 12 | |
| 28 | 11 | |
| 29 | 6 | |
| 30 | 7 | |
| 31 | 4 | |
| 32 | 3 | |
| 33 | 1 | |
| 34 | 2 | |
| 35 | 1 | |
| 36 | 3 | |
| 37 | 2 | |
| 38 | 2 | |
| 39 | 2 | |
| 40 | 5 | |
| 41 | 1 | |
| 45 | 1 | |
| 48 | 1 | |
| 52 | 1 | |
| 55 | 1 | |
| 65 | 1 | |
| 95 | Still at school | 833 |
| 96 | Still at college,university | 1783 |
| 97 | No formal schooling,other,KR:+old style non-formal educ | 1060 |
| 98 | Dont know | 477 |
| 99 | NA, refused | 942 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46162 | 2479 |
Valid range from 1 to 96
degree R: Education II-highest education level
| Value 71221 | Frequency | |
|---|---|---|
| 0 | No formal qualification, incomplete primary | 5055 |
| 1 | Lowest formal qualification | 8003 |
| 2 | Above lowest qualification | 8369 |
| 3 | Higher secondary completed | 10835 |
| 4 | Above higher secondary level,other qualification | 8085 |
| 5 | University degree completed, graduate studies | 7544 |
| 8 | Dont know | 7 |
| 9 | NA | 743 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47891 | 750 |
Valid range from 0 to 5
au_degr Country specific education: Australia
| Value 72220 | Frequency | |
|---|---|---|
| 1 | Did not complete High School to Year 10 | 251 |
| 2 | Completed High School to Year 10 | 320 |
| 3 | Completed High School to Year 12 | 293 |
| 4 | Trade qualification or apprenticeship | 448 |
| 5 | Certificate or Diploma (TAFE or business college) | 765 |
| 6 | Bachelor Degree (including Honors) | 380 |
| 7 | Postgraduate Degree or Postgraduate Diploma | 271 |
| 0 | NAP, other countries | 45860 |
| 99 | NA | 53 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2728 | 45913 |
Valid range from 1 to 7
ca_degr Country specific education: Canada
| Value 73219 | Frequency | |
|---|---|---|
| 1 | No formal education | 5 |
| 2 | Some grade school | 18 |
| 3 | Finished grade school | 26 |
| 4 | Some high school | 90 |
| 5 | Finished high school | 182 |
| 6 | College/CEGEP/some university | 309 |
| 7 | Completed university | 184 |
| 8 | Graduate studies | 100 |
| 0 | NAP, other countries | 47708 |
| 99 | NA, refused | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 914 | 47727 |
Valid range from 1 to 8
ch_degr Country specific education: Switzerland
| Value 74218 | Frequency | |
|---|---|---|
| 1 | Unfinished obligatory school | 1 |
| 2 | Primary School | 60 |
| 3 | Secondary School | 80 |
| 4 | Basic Vocational Education,1-2 yrs,Basic Fed Cert | 68 |
| 5 | Apprenticeship, vocational traing, dual system,voc colleges | 400 |
| 6 | Specialised Middle Schools, Gen traing School 2-3 yrs | 46 |
| 7 | Matura Schools, School preparing f univ+voc baccal | 71 |
| 8 | Vocational Training, second training | 36 |
| 9 | Professional Baccalaureate Schools,Adult Matura Schools | 9 |
| 10 | Colleges of Higher Vocational Education and Training | 64 |
| 11 | Universities of Applied Sciences,Teacher Education,Master,Ba | 55 |
| 12 | Universities,Federal Institutes of Technology,Master,Bachelo | 89 |
| 13 | PhD Doctorate | 17 |
| 95 | Other education | 0 |
| 0 | NAP, other countries | 47638 |
| 98 | DK | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 996 | 47645 |
Valid range from 1 to 95
cl_degr Country specific education: Rep.o Chile
| Value 75217 | Frequency | |
|---|---|---|
| 1 | No formal education | 53 |
| 2 | Incomplete primary | 313 |
| 3 | Primary completed | 194 |
| 4 | Incomplete secondary | 199 |
| 5 | Secondary completed | 366 |
| 6 | Incomplete university | 71 |
| 7 | University completed | 124 |
| 8 | Incompl non-university higher educ | 55 |
| 9 | Compl non-university higher educ | 121 |
| 0 | NAP, other countries | 47136 |
| 99 | NA | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1496 | 47145 |
Valid range from 1 to 9
cz_degr Country specific education: Czech Republic
| Value 76216 | Frequency | |
|---|---|---|
| 1 | Incomplete primary | 0 |
| 2 | Primary completed | 140 |
| 3 | Lower vocational | 365 |
| 4 | General sec.,no diploma | 111 |
| 5 | Vocational, diploma | 42 |
| 6 | Technical secondary | 269 |
| 7 | Academic secondary | 99 |
| 8 | Post secondary | 32 |
| 9 | Tertiary,bachelor degree | 16 |
| 10 | Tertiary,master degree | 113 |
| 11 | Post-graduate education | 4 |
| 0 | NAP, other countries | 47440 |
| 99 | NA | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1191 | 47450 |
Valid range from 1 to 11
de_degr Country specific education: Germany
| Value 77215 | Frequency | |
|---|---|---|
| 1 | Still at school | 18 |
| 2 | School left without certificate | 22 |
| 3 | Lower secondary, Hauptschule | 619 |
| 4 | Middle school, mittlere Reife | 524 |
| 5 | Secondary, technical | 60 |
| 6 | Higher secondary, Abitur | 138 |
| 7 | Special university, Fachhochschule | 85 |
| 8 | University | 173 |
| 9 | Other qualification | 2 |
| 0 | NAP, other countries | 46998 |
| 99 | NA | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1641 | 47000 |
Valid range from 1 to 9
dk_degr Country specific education: Denmark
| Value 78214 | Frequency | |
|---|---|---|
| 1 | 7 yrs primary school or shorter | 84 |
| 2 | 8 yrs primary school | 13 |
| 3 | 9 yrs primary school | 26 |
| 4 | Secondary, 10 yrs or similar | 27 |
| 5 | Gymnasium, general | 28 |
| 6 | Gymnasium, technical | 12 |
| 7 | Other school education | 6 |
| 8 | Basic vocational+apprenticeship | 205 |
| 9 | Other compl.vocational educ | 84 |
| 10 | Short advanced education < 3 yrs | 130 |
| 11 | Middlerange advanced, 3-4 yrs | 314 |
| 12 | Further advanced >4 yrs | 224 |
| 13 | Other vocational education | 113 |
| 0 | NAP, other countries | 47273 |
| 99 | NA | 102 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1266 | 47375 |
Valid range from 1 to 13
do_degr Country specific education: Dominican Republic
| Value 79213 | Frequency | |
|---|---|---|
| 1 | None, didn't go to school | 118 |
| 2 | Elementary incomplete | 613 |
| 3 | Elementary completed/Middle school (completed the 8th grade) | 559 |
| 4 | High School incomplete | 41 |
| 5 | Completed High School (Completed the 12th grade) | 521 |
| 6 | Incomplete Technical Education | 3 |
| 7 | Completed Technical Education | 37 |
| 8 | Incomplete University/Bachelor | 13 |
| 9 | Completed University/Bachelor | 162 |
| 10 | Post graduate degree incomplete (certificate degree, masters | 2 |
| 11 | Post graduate degree completed (certificate degree, masters | 26 |
| 0 | NAP, other countries | 46535 |
| 99 | NA | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2095 | 46546 |
Valid range from 1 to 11
es_degr Country specific education: Spain
| Value 80212 | Frequency | |
|---|---|---|
| 1 | Did not go to school | 178 |
| 2 | Incomplete Primary School,less than 5 years of formal school | 101 |
| 3 | Primary School completed | 505 |
| 4 | Low Secondary School, Junior High | 579 |
| 5 | Vocational Training,medium level Professional Training | 169 |
| 6 | High Secondary School (High School) completed | 341 |
| 7 | Vocational Training, high level Professional Training, High | 191 |
| 8 | Technical Architecture, Engineering, 3 years Technical Schoo | 28 |
| 9 | 3 years completed non-technical University | 151 |
| 10 | Architecture and Engineering,Technical Schools | 34 |
| 11 | College Degree, 4 years | 187 |
| 12 | Official Graduate Studies,PhD, Master,Medical Specialization | 40 |
| 0 | NAP, other countries | 46124 |
| 99 | NA | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2504 | 46137 |
Valid range from 1 to 12
fi_degr Country specific education: Finland
| Value 81211 | Frequency | |
|---|---|---|
| 1 | Still at school (primary or secondary,vocational school/cour | 67 |
| 2 | Primary school | 143 |
| 3 | Primary and lower secondary education | 74 |
| 4 | Vocational school or course | 281 |
| 5 | General upper secondary education or certificate | 88 |
| 6 | Vocational post-secondary non-tertiary education | 220 |
| 7 | Polytechnics | 99 |
| 8 | University,lower academic degree (BA) | 44 |
| 9 | University,higher academic degree (MA) | 117 |
| 0 | NAP, other countries | 47452 |
| 99 | NA | 56 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1133 | 47508 |
Valid range from 1 to 9
fr_degr Country specific education: France
| Value 82210 | Frequency | |
|---|---|---|
| 1 | None | 26 |
| 2 | Primary incomplete | 57 |
| 3 | Primary completed | 231 |
| 4 | General secondary level 1 | 120 |
| 5 | Vocational secondary level 1 | 341 |
| 6 | Vocational secondary level 2 | 66 |
| 7 | Incomplete general secondary level 2 | 112 |
| 8 | General secondary level 2 | 175 |
| 9 | College | 251 |
| 10 | University | 435 |
| 0 | NAP, other countries | 46817 |
| 99 | NA | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1814 | 46827 |
Valid range from 1 to 10
gb_degr Country specific education: Britain
| Value 83209 | Frequency | |
|---|---|---|
| 1 | No sec. qualifications | 219 |
| 2 | CSE, GCSE or equivalent | 81 |
| 3 | O-level or equivalent | 185 |
| 4 | A-level or equivalent | 141 |
| 5 | Higher below degree level | 130 |
| 6 | Degree, university o CNAA o diploma | 160 |
| 7 | Foreign or other | 13 |
| 0 | NAP, other countries | 47711 |
| 99 | NA | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 929 | 47712 |
Valid range from 1 to 7
hr_degr Country specific education: Croatia
| Value 84208 | Frequency | |
|---|---|---|
| 1 | Did not complete elementary school | 62 |
| 2 | Elementary school completed | 370 |
| 3 | Three year vocational school completed | 160 |
| 4 | Four year vocational school completed | 365 |
| 5 | Gymnasium completed (General secondary school) | 79 |
| 6 | Post secondary degree completed; professional studies | 62 |
| 7 | University degree completed; university studies | 101 |
| 0 | NAP, other countries | 47441 |
| 99 | NA | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1199 | 47442 |
Valid range from 1 to 7
hu_degr Country specific education: Hungary
| Value 85207 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 3 |
| 2 | Less than primary | 70 |
| 3 | 8 years elementary | 225 |
| 4 | Vocational | 252 |
| 5 | Vocational+matura | 166 |
| 6 | Sec. technical+matura | 63 |
| 7 | Gymnasium, matura | 81 |
| 8 | College | 109 |
| 9 | University | 41 |
| 0 | NAP, other countries | 47631 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1010 | 47631 |
Valid range from 1 to 9
ie_degr Country specific education: Ireland
| Value 86206 | Frequency | |
|---|---|---|
| 1 | None | 4 |
| 2 | Incomplete primary education | 22 |
| 3 | Primary completed, compulsory | 145 |
| 4 | Incomplete first cycle secondary | 49 |
| 5 | Completed first cycle secondary,group Cert,junior,intermed C | 203 |
| 6 | Secondary completed,leaving Cert | 235 |
| 7 | Incomplete third level | 50 |
| 8 | Certificate or Diploma | 149 |
| 9 | University first, primary degree | 62 |
| 10 | University higher degree, masters or equivalent | 80 |
| 0 | NAP, other countries | 47640 |
| 99 | NA | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 999 | 47642 |
Valid range from 1 to 10
il_degr Country specific education: Israel
| Value 87205 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 34 |
| 2 | Lowest formal qualification | 114 |
| 3 | Incompl vocational | 74 |
| 4 | Vocational completed without matriculation | 76 |
| 5 | Vocational completed with matriculation | 63 |
| 6 | Incomplete academic secondary | 81 |
| 7 | Full general without matriculation | 120 |
| 8 | Academic secondary completed | 208 |
| 9 | Yeshiva without matriculation | 17 |
| 10 | Yeshiva with matriculation | 8 |
| 11 | Semi higher, post secondary | 145 |
| 12 | Incpl university | 89 |
| 13 | University compl, BA or more | 296 |
| 0 | NAP, other countries | 47296 |
| 97 | Refused | 6 |
| 98 | DK | 1 |
| 99 | NA | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1325 | 47316 |
Valid range from 1 to 13
jp_degr Country specific education: Japan
| Value 88204 | Frequency | |
|---|---|---|
| 1 | Junior High school completed | 270 |
| 2 | High school completed | 483 |
| 3 | Junior college completed | 185 |
| 4 | Finished university or graduate | 210 |
| 5 | Still at High school | 34 |
| 6 | Still at Junior college or university | 35 |
| 7 | Still at Graduate school | 3 |
| 8 | Others | 8 |
| 0 | NAP, other countries | 47410 |
| 99 | NA | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1228 | 47413 |
Valid range from 1 to 8
kr_degr Country specific education: South Korea
| Value 89203 | Frequency | |
|---|---|---|
| 1 | No formal schooling, old-style non-formal schoolg | 75 |
| 2 | Elementary incomplete | 31 |
| 3 | Elementary completed | 99 |
| 4 | Middle school, junior high school incomplete | 20 |
| 5 | Middle school, junior high school completed | 106 |
| 6 | High school incomplete | 27 |
| 7 | High school completed | 461 |
| 8 | Junior college incomplete,2-3 yrs | 33 |
| 9 | Junior college completed,2-3 yrs | 147 |
| 10 | University incomplete,4 yrs course | 179 |
| 11 | University completed,4 yrs course | 357 |
| 12 | Graduate school, masters incomplete | 12 |
| 13 | Masters degree completed | 41 |
| 14 | Graduate school, doctoral degree incomplete | 3 |
| 15 | Doctoral degree, PhD completed | 14 |
| 0 | NAP, other countries | 47036 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1605 | 47036 |
Valid range from 1 to 15
lv_degr Country specific education: Latvia
| Value 90202 | Frequency | |
|---|---|---|
| 1 | Incomplete basic educ, less than 8 forms | 16 |
| 2 | Basic education, 9 years | 119 |
| 3 | Incompl sec, professional educ,voc traing,2-3 yrs | 58 |
| 4 | Secondary completed, 3 years | 288 |
| 5 | Secondary professional education,4 years | 372 |
| 6 | Incompl higher education (at least 2 compl years) | 53 |
| 7 | Higher education,bachelor,master or doctor degree | 163 |
| 0 | NAP, other countries | 47572 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1069 | 47572 |
Valid range from 1 to 7
nl_degr Country specific education: Netherlands
| Value 91201 | Frequency | |
|---|---|---|
| 1 | Primary education | 45 |
| 2 | Various lower vocational schools,LBO-VBO-VMBOB | 184 |
| 3 | Various middle schools?lower level,MAVO-MULO-VMBOT | 140 |
| 4 | Various middle schools?middle level,HAVO-MMS | 48 |
| 5 | Various middle schools?higher level,VWO-HBS-Athen-Gymn | 39 |
| 6 | Middle vocational schools/Apprenticeships,MBO | 170 |
| 7 | Higher vocational education, HBO | 245 |
| 8 | University | 106 |
| 0 | NAP, other countries | 47648 |
| 99 | NA | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 977 | 47664 |
Valid range from 1 to 8
no_degr Country specific education: Norway
| Value 92200 | Frequency | |
|---|---|---|
| 1 | Primary completed | 126 |
| 2 | Secondary,vocational,incomplete | 72 |
| 3 | Secondary,academic, incomplete | 121 |
| 4 | Secondary,vocational, complete | 203 |
| 5 | Secondary,academic, complete | 213 |
| 6 | Univ, college,less than 1 yr | 47 |
| 7 | Univ, college, 1-2 yrs | 136 |
| 8 | Univ, college, 3-4 yrs | 250 |
| 9 | Univ, college, 5 years or more | 151 |
| 0 | NAP, other countries | 47311 |
| 99 | NA | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1319 | 47322 |
Valid range from 1 to 9
nz_degr Country specific education: New Zealand
| Value 93199 | Frequency | |
|---|---|---|
| 1 | No formal qualification | 222 |
| 2 | School C,profiency,Nat Cert Level 1+2, NCEA1+2+3,Higher Scho | 373 |
| 3 | Trade or professional certificate | 234 |
| 4 | Diploma below degree level | 153 |
| 5 | University degree,post-graduate or higher qual | 259 |
| 0 | NAP, other countries | 47378 |
| 99 | NA | 22 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1241 | 47400 |
Valid range from 1 to 5
ph_degr Country specific education: Philippines
| Value 94198 | Frequency | |
|---|---|---|
| 1 | No formal education | 13 |
| 2 | Some elementary,incomplete primary | 149 |
| 3 | Completed elementary,primary completed | 171 |
| 4 | Some high school,incomplete secondary | 163 |
| 5 | Completed high school,secondary completed | 304 |
| 6 | Some vocational | 31 |
| 7 | Completed vocational | 56 |
| 8 | Some College | 168 |
| 9 | Completed College | 139 |
| 10 | Post college | 6 |
| 0 | NAP, other countries | 47441 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 47441 |
Valid range from 1 to 10
pl_degr Country specific education: Poland
| Value 95197 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 4 |
| 2 | Incompl elementary | 26 |
| 3 | Elementary | 236 |
| 4 | Basic vocational | 309 |
| 5 | Incomplete secondary | 65 |
| 6 | Secondary general | 78 |
| 7 | Secondary vocational | 248 |
| 8 | Post secondary | 52 |
| 9 | Incomplete higher | 119 |
| 10 | Completed higher | 156 |
| 0 | NAP, other countries | 47348 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1293 | 47348 |
Valid range from 1 to 10
pt_degr Country specific education: Portugal
| Value 96196 | Frequency | |
|---|---|---|
| 1 | No formal schooling | 160 |
| 2 | Basic level 1 (4 years school or less) | 761 |
| 3 | Basic level 2 and 3 (until compulsory school,5-9 years) | 376 |
| 4 | Incomplete secondary (5-11 years) | 219 |
| 5 | Secondary completed (12 years) | 84 |
| 6 | Incomplete university | 51 |
| 7 | University completed | 186 |
| 0 | NAP, other countries | 46804 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1837 | 46804 |
Valid range from 1 to 7
ru_degr Country specific education: Russia
| Value 97195 | Frequency | |
|---|---|---|
| 1 | Primary education complete or incomplete | 237 |
| 2 | Incomplete secondary education/middle school | 171 |
| 3 | Secondary school/middle school completed | 482 |
| 4 | Trade school/professional school, incomplete higher sec. edu | 87 |
| 5 | Trade school/professional school, higher secondary completed | 201 |
| 6 | College | 619 |
| 7 | Higher education incomplete | 107 |
| 8 | Higher education, university completed | 503 |
| 0 | NAP, other countries | 46234 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2407 | 46234 |
Valid range from 1 to 8
se_degr Country specific education: Sweden
| Value 98194 | Frequency | |
|---|---|---|
| 1 | Primary or comprehensive school | 224 |
| 2 | Vocational school (1972-92) | 129 |
| 3 | Vocational school (post 1992) | 60 |
| 4 | Vocational school (pre 1972) | 83 |
| 5 | Alternative secondary school | 28 |
| 6 | Lower secondary school | 44 |
| 7 | 3 or 4 year gymnasium (academic track) | 116 |
| 8 | Gymnasium (academic track post 1992) | 18 |
| 9 | Higher secondary school | 46 |
| 10 | University studies without degree | 122 |
| 11 | University degree | 295 |
| 0 | NAP, other countries | 47447 |
| 99 | NA | 29 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1165 | 47476 |
Valid range from 1 to 11
si_degr Country specific education: Slovenia
| Value 99193 | Frequency | |
|---|---|---|
| 1 | Incomplete primary | 50 |
| 2 | Primary completed | 191 |
| 3 | Incomplete vocational | 16 |
| 4 | 2-3 yrs vocational | 220 |
| 5 | 4 yrs secondary school | 295 |
| 6 | Incomplete college or university | 37 |
| 7 | Higher degree completed, 2 yrs college | 56 |
| 8 | University completed | 123 |
| 0 | NAP, other countries | 47638 |
| 99 | NA | 15 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 988 | 47653 |
Valid range from 1 to 8
tw_degr Country specific education: Taiwan
| Value 100192 | Frequency | |
|---|---|---|
| 1 | None | 131 |
| 2 | Self-study | 15 |
| 3 | Elementary school | 316 |
| 4 | Junior high school | 222 |
| 5 | Vocational junior high school | 10 |
| 6 | Senior high school general | 97 |
| 7 | Senior high school vocational subject | 100 |
| 8 | Vocational high school | 288 |
| 9 | Cadet school,senior high level | 4 |
| 10 | 5 yrs junior college, after junior high | 77 |
| 11 | 2 yrs junior college after voc high | 162 |
| 12 | 3 yrs junior college, after high general | 27 |
| 13 | Military,police junior college, 1 year | 1 |
| 14 | Military, police college, 2 years | 9 |
| 15 | Open junior college | 3 |
| 16 | Open college | 1 |
| 17 | Military, police college | 9 |
| 18 | 2 or 4 yrs institute of technology | 92 |
| 19 | College graduate, university | 315 |
| 20 | Graduate school, master degree | 78 |
| 21 | Graduate school, doctorate degree, PhD degree | 14 |
| 0 | NAP, other countries | 46669 |
| 99 | NA | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1971 | 46670 |
Valid range from 1 to 21
us_degr Country specific education: USA
| Value 101191 | Frequency | |
|---|---|---|
| 1 | Less than High school | 249 |
| 2 | High school | 787 |
| 3 | Junior college | 108 |
| 4 | Bachelor | 239 |
| 5 | Graduate | 132 |
| 0 | NAP, other countries | 47123 |
| 99 | NA | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1515 | 47126 |
Valid range from 1 to 5
uy_degr Country specific education: Uruguay
| Value 102190 | Frequency | |
|---|---|---|
| 1 | None, never studied | 14 |
| 2 | Primary School-incomplete | 119 |
| 3 | Primary School-completed | 278 |
| 4 | Secondary School-incomplete | 252 |
| 5 | Secondary School-completed | 76 |
| 6 | Technical education-incomplete | 54 |
| 7 | Technical education-completed | 56 |
| 8 | University-incomplete | 66 |
| 9 | University-completed | 62 |
| 10 | High education-incompl non university | 17 |
| 11 | High Education-compl non university | 37 |
| 0 | NAP, other countries | 47610 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1031 | 47610 |
Valid range from 1 to 11
ve_degr Country specific education: Venezuela
| Value 103189 | Frequency | |
|---|---|---|
| 1 | None, before primary school | 25 |
| 2 | Basic school (1-9) / Primary (1-6) | 538 |
| 3 | Special education | 16 |
| 4 | High school (1-2) | 323 |
| 5 | Technical school (1-3) | 0 |
| 6 | Secondary school (1-5) | 0 |
| 7 | University technician | 81 |
| 8 | University completed | 217 |
| 0 | NAP, other countries | 47441 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 47441 |
Valid range from 1 to 8
za_degr Country specific education:South Africa
| Value 104188 | Frequency | |
|---|---|---|
| 1 | No schooling | 180 |
| 2 | Grade 0/Grade R | 2 |
| 3 | Sub A/Grade 1 | 29 |
| 4 | Sub B/Grade 2 | 22 |
| 5 | Grade 3/Standard 1 | 47 |
| 6 | Grade 4/Standard 2 | 76 |
| 7 | Grade 5/Standard 3 | 78 |
| 8 | Grade 6/Standard 4 | 107 |
| 9 | Grade 7/Standard 5 | 210 |
| 10 | Grade 8/Standard 6/Form 1 | 275 |
| 11 | Grade 9/Standard 7/Form 2 | 210 |
| 12 | Grade 10/Standard 8/Form 3 | 340 |
| 13 | Grade 11/Standard 9/Form 4 | 302 |
| 14 | Grade 12/Standard 10/Form 5/Matric | 725 |
| 15 | NTC I | 0 |
| 16 | NTC II | 0 |
| 17 | NTC III | 0 |
| 18 | Diploma/certificate with less than Grade 12/Std 10 | 19 |
| 19 | Diploma/certificate with Grade 12/Std 10 | 121 |
| 20 | Degree | 72 |
| 21 | Postgraduate degree or diploma | 83 |
| 22 | Other, specify | 13 |
| 0 | NAP, other countries | 45702 |
| 98 | DK | 9 |
| 99 | NA | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2911 | 45730 |
Valid range from 1 to 22
wrkst R: Current employment status
| Value 105187 | Frequency | |
|---|---|---|
| 1 | Employed, full-time,main job | 21548 |
| 2 | Employed, part-time,main job | 4057 |
| 3 | Employed, less than part-time | 946 |
| 4 | Helping family member | 356 |
| 5 | Unemployed | 3342 |
| 6 | Student,school,vocational training | 2733 |
| 7 | Retired | 9121 |
| 8 | Housewife,-man,home duties | 4320 |
| 9 | Permanently disabled | 914 |
| 10 | Other,not in labour force | 747 |
| 97 | Refused | 11 |
| 98 | Dont know | 5 |
| 99 | NA | 541 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48084 | 557 |
Valid range from 1 to 10
wrkhrs R: Hours worked weekly
| Value 106186 | Frequency | |
|---|---|---|
| 1 | 5 | |
| 2 | 22 | |
| 2.5 | 1 | |
| 3 | 32 | |
| 4 | 54 | |
| 5 | 51 | |
| 6 | 63 | |
| 6.5 | 1 | |
| 7 | 42 | |
| 7.5 | 1 | |
| 8 | 194 | |
| 9 | 84 | |
| 9.5 | 1 | |
| 10 | 258 | |
| 10.5 | 1 | |
| 11 | 22 | |
| 11.5 | 1 | |
| 12 | 215 | |
| 12.5 | 3 | |
| 13 | 21 | |
| 14 | 70 | |
| 15 | 256 | |
| 16 | 134 | |
| 17 | 43 | |
| 18 | 127 | |
| 19 | 40 | |
| 19.5 | 5 | |
| 20 | 796 | |
| 21 | 85 | |
| 22 | 61 | |
| 22.5 | 6 | |
| 23 | 36 | |
| 24 | 267 | |
| 24.5 | 1 | |
| 25 | 420 | |
| 25.5 | 1 | |
| 26 | 66 | |
| 26.5 | 1 | |
| 27 | 58 | |
| 27.5 | 3 | |
| 28 | 173 | |
| 29 | 35 | |
| 30 | 1090 | |
| 31 | 21 | |
| 32 | 314 | |
| 32.5 | 2 | |
| 33 | 77 | |
| 33.5 | 1 | |
| 34 | 71 | |
| 35 | 1416 | |
| 36 | 492 | |
| 36.25 | 3 | |
| 36.5 | 1 | |
| 37 | 915 | |
| 37.2 | 1 | |
| 37.5 | 84 | |
| 38 | 773 | |
| 38.5 | 1 | |
| 39 | 253 | |
| 40 | 7798 | |
| 40.5 | 1 | |
| 41 | 95 | |
| 42 | 789 | |
| 42.5 | 6 | |
| 43 | 185 | |
| 44 | 381 | |
| 44.7 | 1 | |
| 45 | 2013 | |
| 46 | 146 | |
| 46.5 | 1 | |
| 47 | 66 | |
| 47.5 | 5 | |
| 48 | 1425 | |
| 49 | 72 | |
| 50 | 2339 | |
| 51 | 30 | |
| 52 | 111 | |
| 52.5 | 1 | |
| 53 | 29 | |
| 54 | 178 | |
| 55 | 396 | |
| 56 | 342 | |
| 57 | 16 | |
| 58 | 35 | |
| 59 | 7 | |
| 60 | 1475 | |
| 61 | 6 | |
| 62 | 17 | |
| 63 | 48 | |
| 64 | 32 | |
| 65 | 160 | |
| 66 | 59 | |
| 67 | 10 | |
| 68 | 24 | |
| 69 | 1 | |
| 70 | 467 | |
| 71 | 1 | |
| 72 | 203 | |
| 73 | 2 | |
| 74 | 7 | |
| 75 | 39 | |
| 76 | 6 | |
| 77 | 19 | |
| 78 | 24 | |
| 79 | 1 | |
| 80 | 178 | |
| 81 | 5 | |
| 82 | 8 | |
| 84 | 153 | |
| 85 | 9 | |
| 86 | 8 | |
| 87 | 2 | |
| 88 | 3 | |
| 89 | 7 | |
| 90 | 49 | |
| 91 | 19 | |
| 93 | 1 | |
| 94 | 2 | |
| 95 | 8 | |
| 96 | 96 hours and more | 221 |
| 0 | Not applicable, not in labour force, never had a job | 17603 |
| 97 | Refused | 146 |
| 98 | DK,cant say,varies too much | 751 |
| 99 | NA | 1128 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 29013 | 19628 |
Valid range from 1 to 96
isco88 R: Occupation ILO,ISCO 1988 4-digit
| Value 107185 | Frequency | |
|---|---|---|
| 100 | Armed forces | 0 |
| 110 | Armed forces;DK: all personnel | 176 |
| 111 | DE,LV,PH,UY:Soldiers | 12 |
| 112 | DE,LV,NL,UY:Officers | 15 |
| 1000 | Legislators,senior off.+managers | 109 |
| 1100 | Legislators and senior officials | 2 |
| 1110 | Legislators | 17 |
| 1114 | TW:Town,county,city legislators | 1 |
| 1120 | Senior government official | 91 |
| 1124 | TW:Principals of public high schools | 1 |
| 1130 | Traditional chiefs+heads of villages | 7 |
| 1131 | TW:County,city (assistant) mayors | 1 |
| 1134 | TW:Principals of public elementary schools | 4 |
| 1140 | Sen.officials of interest organisation | 2 |
| 1141 | Sen.officials of pol.party | 2 |
| 1142 | Sen.officials of empl+workers org | 5 |
| 1143 | Sen.off.of human+other interest org | 10 |
| 1200 | Corporate managers | 47 |
| 1210 | Directors and chief executives | 423 |
| 1220 | Production+operations dep.manager | 171 |
| 1221 | Prod.+oper.managers in agriculture | 18 |
| 1222 | Prod.+oper.managers:manufacturing | 129 |
| 1223 | Prod.+oper.managers:construction | 74 |
| 1224 | Prod.+oper.managers:retail trade | 67 |
| 1225 | Prod.+oper.managers:hotels rest. | 28 |
| 1226 | Prod.+oper.managers:transport,comm | 36 |
| 1227 | Prod.+oper.managers:business serv. | 45 |
| 1228 | Prod.+oper.managers:cleaning | 15 |
| 1229 | Prod.+oper.dep. managers nec | 316 |
| 1230 | Other department managers | 128 |
| 1231 | Finance+administration dep.managers | 117 |
| 1232 | Personnel+industrial rel.dep.managers | 99 |
| 1233 | Sales+marketing dep.managers | 90 |
| 1234 | Advertising+pub.relations dep.managers | 62 |
| 1235 | Supply+distribution dep.managers | 18 |
| 1236 | Computing services dep.managers | 24 |
| 1237 | Research+development dep.managers | 21 |
| 1239 | Other department managers | 66 |
| 1240 | NZ,PH,TW,US:Misc.office supervisors,NL:office manager | 44 |
| 1251 | HU,TW:High-grade military officer | 18 |
| 1252 | HU,TW:Low-grade commissioned officer | 5 |
| 1300 | General managers | 64 |
| 1310 | General managers | 180 |
| 1311 | General managers in agriculture | 37 |
| 1312 | General managers in manufacture | 83 |
| 1313 | General managers in construction | 71 |
| 1314 | Gen.managers in wholesale+retail trade | 408 |
| 1315 | Gen.managers of rest.+hotels | 178 |
| 1316 | Gen.managers in transport+comm. | 39 |
| 1317 | General managers of business services | 47 |
| 1318 | Gen.managers in personal care,cleaning | 36 |
| 1319 | General managers nec | 182 |
| 1320 | DO,PH:Managers in non-specific trade areas | 4 |
| 2000 | Professionals | 245 |
| 2100 | Physical,math.+engineering science | 75 |
| 2110 | Physicists,chemists+rel.professionals | 9 |
| 2111 | Physicists, and astronomers | 6 |
| 2112 | Meteorologists | 1 |
| 2113 | Chemists | 35 |
| 2114 | Geologists and geophysicists | 11 |
| 2120 | Mathematicians, statisticians+rel.prof | 4 |
| 2121 | Mathematicians and related prof | 7 |
| 2122 | Statisticians | 3 |
| 2130 | Computing professionals | 78 |
| 2131 | Computing systems designers+analysts | 110 |
| 2132 | Computer programmers | 92 |
| 2139 | Computing professionals n.e.c. | 27 |
| 2140 | Architects,engineers+rel.profess | 159 |
| 2141 | Architects, town+traffic planners | 71 |
| 2142 | Civil engineers | 91 |
| 2143 | Electrical engineers | 36 |
| 2144 | Electronics+telecomm.engineers | 48 |
| 2145 | Mechanical engineers | 70 |
| 2146 | Chemical engineers | 19 |
| 2147 | Mining engineers,metallurgists+rel | 12 |
| 2148 | Cartographers and surveyors | 15 |
| 2149 | Architects,engineers+rel.prof | 99 |
| 2199 | NZ: Other natural scientist | 1 |
| 2200 | Life science+health professionals | 54 |
| 2210 | Life science professionals | 10 |
| 2211 | Biologist,botanist,zoologist+rel | 24 |
| 2212 | Pharmacologists, pathologists | 25 |
| 2213 | Agronomists+related professionals | 24 |
| 2220 | Health professionals | 42 |
| 2221 | Medical doctors | 160 |
| 2222 | Dentists | 73 |
| 2223 | Veterinarians | 25 |
| 2224 | Pharmacists | 34 |
| 2229 | Health professionals n.e.c. | 34 |
| 2230 | Nursing+midwifery professionals | 288 |
| 2300 | Teaching professionals | 179 |
| 2310 | College,uni+higher educ.teacher | 246 |
| 2320 | Secondary education teacher | 496 |
| 2321 | HU,KR,NL,SI,TW,US,UY:Secondary (high)-school teacher | 82 |
| 2322 | HU,NL,UY:Teacher in vocational traing,NL:sec voc teacher | 28 |
| 2330 | Primary+pre-primary educ.teacher | 64 |
| 2331 | Primary educ.teaching prof | 420 |
| 2332 | Pre-primary educ.teaching prof | 118 |
| 2340 | Special educ.teaching profess | 52 |
| 2350 | Other teaching profess,nec | 36 |
| 2351 | Education methods specialists | 14 |
| 2352 | School inspectors | 12 |
| 2359 | Other teaching professionals nec | 68 |
| 2400 | Other professionals | 66 |
| 2410 | Business professionals | 37 |
| 2411 | Accountants | 262 |
| 2412 | Personnel+careers professionals | 67 |
| 2419 | Business professionals n.e.c | 183 |
| 2420 | Legal professionals | 27 |
| 2421 | Lawyers | 97 |
| 2422 | Judges | 7 |
| 2429 | Legal professionals nec | 48 |
| 2430 | Archivists,librarians+rel.info.prof | 13 |
| 2431 | Archivists and curators | 13 |
| 2432 | Librarians+rel.information prof. | 41 |
| 2440 | Social science+rel. prof. | 30 |
| 2441 | Economists | 79 |
| 2442 | Sociologists,anthropologists+rel | 9 |
| 2443 | Philosophers,historians+pol.scientist | 5 |
| 2444 | Philologists,translators+interpreter | 25 |
| 2445 | Psychologists | 48 |
| 2446 | Social work professionals | 80 |
| 2450 | Writers and creative artists | 41 |
| 2451 | Authors,journalists+other writers | 102 |
| 2452 | Sculptors, painters+rel.artists | 32 |
| 2453 | Composers, musicians+singers | 27 |
| 2454 | Choreographers and dancers | 5 |
| 2455 | Film, stage+rel.actors+directors | 33 |
| 2460 | Religious professionals | 57 |
| 2470 | ISCO_COM: Public service administrative prof | 51 |
| 2500 | NO: Education prof. n.e.c. | 2 |
| 3000 | Technicians and related prof. | 107 |
| 3100 | Physical+engineering science techn. | 35 |
| 3110 | Physical+engineering science techn. | 145 |
| 3111 | Chemical+physical science techn. | 54 |
| 3112 | Civil engineering technicians | 118 |
| 3113 | Electrical engineering technicians | 56 |
| 3114 | Electronics+telecommunication techn | 109 |
| 3115 | Mechanical engineering technicians | 84 |
| 3116 | Chemical engineering technicians | 37 |
| 3117 | Mining and metallurgical techn. | 20 |
| 3118 | Draughtspersons | 46 |
| 3119 | Physical+engin.science techn.nec | 90 |
| 3120 | Computer associate professionals | 64 |
| 3121 | Computer assistants | 84 |
| 3122 | Computer equipment operators | 28 |
| 3123 | Industrial robot controllers | 0 |
| 3130 | Optical+electronic equipement oper | 8 |
| 3131 | Photographers+image+sound oper | 33 |
| 3132 | Broadcasting+telecommunications oper | 31 |
| 3133 | Medical equipment operators | 22 |
| 3139 | Optical+electronic operators nec | 3 |
| 3140 | Ship,aircraft controllers+techn. | 9 |
| 3141 | Ships engineers | 9 |
| 3142 | Ships deck officers and pilots | 20 |
| 3143 | Aircraft pilots+rel. professionals | 11 |
| 3144 | Air traffic controllers | 6 |
| 3145 | Air traffic safety technicians | 4 |
| 3150 | Safety and quality inspectors | 22 |
| 3151 | Building and fire inspectors | 4 |
| 3152 | Safety, health+quality inspectors | 90 |
| 3153 | RU: Road policemen | 3 |
| 3200 | Life science+health ass.profess | 21 |
| 3210 | Life science technicians+rel.prof | 16 |
| 3211 | Life science technicians | 43 |
| 3212 | Agronomy and forestry technicians | 25 |
| 3213 | Farming and forestry advisers | 2 |
| 3220 | Modern health ass.professionals | 38 |
| 3221 | Medical assistants | 92 |
| 3222 | Sanitarians | 11 |
| 3223 | Dieticians and nutritionists | 14 |
| 3224 | Optometrists and opticians | 10 |
| 3225 | Dental assistants | 28 |
| 3226 | Physiotherapists+rel.ass.profess | 79 |
| 3227 | Veterinary assistants | 9 |
| 3228 | Pharmaceutical assistants | 32 |
| 3229 | Modern health ass.profess.nec | 42 |
| 3230 | Nursing+midwifery ass.professionals | 79 |
| 3231 | Nursing associate professionals | 312 |
| 3232 | Midwifery associate professionals | 14 |
| 3240 | Trad.medicine practitioner+faith healer | 1 |
| 3241 | Traditional medicine practitioners | 6 |
| 3242 | Faith healers | 2 |
| 3300 | Teaching associate professionals | 22 |
| 3310 | Primary educ.teachg ass.prof. | 184 |
| 3320 | Pre-primary educ. teachg ass. prof. | 154 |
| 3330 | Spec.educ. teaching ass. prof. | 22 |
| 3340 | Other teaching associate profess | 168 |
| 3341 | SI,TW:Teachers in technical college | 10 |
| 3342 | TW:Other educational occ | 1 |
| 3400 | Other associate professionals | 120 |
| 3410 | Finance+sales associate professionals | 122 |
| 3411 | Securities+finance dealers and brokers | 55 |
| 3412 | Insurance representatives | 83 |
| 3413 | Estate agents | 103 |
| 3414 | Travel consultants and organisers | 15 |
| 3415 | Technical+commercial sales represent | 416 |
| 3416 | Buyers | 81 |
| 3417 | Appraisers,valuers+auctioneers | 34 |
| 3418 | DO:Customer consultant in a bank | 1 |
| 3419 | Finance+sales ass.professionals nec | 90 |
| 3420 | Business services agents+trade broker | 17 |
| 3421 | Trade brokers | 23 |
| 3422 | Clearing and forwarding agents | 26 |
| 3423 | Employment agents+labour contractors | 12 |
| 3429 | Other business services agents nec | 38 |
| 3430 | Administrative ass.professionals | 140 |
| 3431 | Administrative secretaries+rel.prof | 196 |
| 3432 | Legal+rel.business ass. profess | 176 |
| 3433 | Bookkeepers | 261 |
| 3434 | Statistical,mathematical+rel.prof | 7 |
| 3439 | Administrative ass.profess. nec | 139 |
| 3440 | Customs,tax+rel.government prof | 64 |
| 3441 | Customs and border inspectors | 17 |
| 3442 | Government tax and excise officials | 20 |
| 3443 | Government social benefits officials | 18 |
| 3444 | Government licensing officials | 8 |
| 3445 | DO,PH,UY:Public employment service worker | 17 |
| 3449 | Customs,tax+rel. government prof nec | 32 |
| 3450 | Police inspectors and detectives | 72 |
| 3452 | HU,NL,TW:Armed forces non-commiss. officer and army nfs | 17 |
| 3460 | Social work associate professionals | 145 |
| 3470 | Artistic,entertainment+sports prof | 34 |
| 3471 | Decorators and commercial designers | 117 |
| 3472 | Radio,television+other announcers | 8 |
| 3473 | Musicians,singers,dancers | 25 |
| 3474 | Clowns,magicians,acrobates+rel.prof | 2 |
| 3475 | Athletes,sportspersons+rel.prof | 56 |
| 3480 | Religious associate professionals | 15 |
| 4000 | Office worker,clerks | 494 |
| 4100 | Office clerks | 267 |
| 4110 | Secretaries+keyboard-operating clerks | 126 |
| 4111 | Stenographers and typists | 41 |
| 4112 | Word-processor and rel.operators | 80 |
| 4113 | Data entry operators | 61 |
| 4114 | Calculating machine operators | 20 |
| 4115 | Secretaries | 433 |
| 4120 | Numerical clerks | 76 |
| 4121 | Accounting and bookkeeping clerks | 393 |
| 4122 | Statistical and finance clerks | 161 |
| 4130 | Material-recording+transport clerks | 33 |
| 4131 | Stock clerks | 298 |
| 4132 | Production clerks | 87 |
| 4133 | Transport clerks | 98 |
| 4140 | Library, mail and related clerks | 32 |
| 4141 | Library and filing clerks | 59 |
| 4142 | Mail carriers and sorting clerks | 110 |
| 4143 | Coding, proof-reading+rel.clerks | 9 |
| 4144 | Scribes and related workers | 32 |
| 4190 | Other office clerks;DK: also assisting spouse | 596 |
| 4200 | Customer services clerks | 79 |
| 4210 | Cashiers, tellers and rel.clerks | 200 |
| 4211 | Cashiers and ticket clerks | 166 |
| 4212 | Tellers and other counter clerks | 114 |
| 4213 | Bookmakers and croupiers | 22 |
| 4214 | Pawnbrokers and money-lenders | 2 |
| 4215 | Debt-collectors and related workers | 17 |
| 4220 | Client information clerks | 36 |
| 4221 | Travel agency and related clerks | 14 |
| 4222 | Receptionists+information clerks | 197 |
| 4223 | Telephone switchboard operators | 73 |
| 4300 | HR,KR,PH:Office helping workers | 22 |
| 4400 | CA:Post office,higher civil service | 1 |
| 5000 | Personal service, sale | 396 |
| 5100 | Personal+protective services workers | 74 |
| 5110 | Travel attendents+related workers | 6 |
| 5111 | Travel attendents+travel stewards | 26 |
| 5112 | Transport conductors | 29 |
| 5113 | Travel guides | 34 |
| 5120 | Housekeeping+rest. services workers | 81 |
| 5121 | Housekeepers and related workers | 93 |
| 5122 | Cooks | 560 |
| 5123 | Waiters, waitresses and bartenders | 548 |
| 5130 | Personal care and related workers | 285 |
| 5131 | Child care workers | 329 |
| 5132 | Institution-based personal care workers | 383 |
| 5133 | Home-based personal care workers | 132 |
| 5134 | JP:Dental secretaries | 1 |
| 5139 | Personal care+related workers nec | 49 |
| 5140 | Other personal services workers | 32 |
| 5141 | Hairdressers,beauticians+rel.workers | 298 |
| 5142 | Companions and valets | 26 |
| 5143 | Undertakers and embalmers | 9 |
| 5149 | Other personal services workers nec | 46 |
| 5150 | Astrologers,fortune-tellers | 0 |
| 5151 | Astrologers and related workers | 2 |
| 5152 | Fortune-tellers+related workers | 3 |
| 5160 | Protective services workers | 34 |
| 5161 | Fire-fighters | 38 |
| 5162 | Police officers | 129 |
| 5163 | Prison guards | 24 |
| 5164 | CA,DO,PH,TW:Caretakers | 37 |
| 5169 | Protective services workers nec | 159 |
| 5200 | Models,salespersons+demonstrators | 73 |
| 5210 | Fashion and other models | 9 |
| 5220 | Shop salespersons and demonstrators | 1774 |
| 5221 | KR,PH,SI,UY:Shop staff, sales staff+other | 117 |
| 5223 | KR,PH,SI,UY:Wholesale merchants | 14 |
| 5230 | Stall and market salespersons | 123 |
| 6000 | Skilled agricultural+fishery worker | 55 |
| 6100 | Market-orient.agric.skilled worker | 64 |
| 6110 | Market gardeners and crop growers | 40 |
| 6111 | Field crop and vegetable growers | 351 |
| 6112 | Tree and shrub crop growers | 84 |
| 6113 | Gardeners,hortic.+nursery growers | 94 |
| 6114 | Mixed-crop growers | 32 |
| 6120 | Market-oriented animal producers | 25 |
| 6121 | Dairy and livestock producers | 179 |
| 6122 | Poultry producers | 20 |
| 6123 | Apiarists and sericulturists | 1 |
| 6124 | Mixed animal producers | 5 |
| 6129 | Market-oriented animal producers nec | 20 |
| 6130 | Market-oriented crop animal producer | 313 |
| 6132 | NZ,PH,US: Farmers | 124 |
| 6133 | NZ,US:Farm supervisors,NL:farmer nec | 9 |
| 6140 | Forestry and related worker | 181 |
| 6141 | Forestry workers and logger | 26 |
| 6142 | Charcoal burners and related worker | 2 |
| 6150 | Fishery workers,hunters+trappers | 25 |
| 6151 | Aquatic-life cultivation worker | 4 |
| 6152 | Inland+coastal waters fishery worker | 20 |
| 6153 | Deep-sea fishery worker | 2 |
| 6154 | Hunters and trappers | 2 |
| 6200 | Subsistence agricultural+fishery worker | 34 |
| 6210 | Subsistence agricultural+fishery worker | 11 |
| 7000 | Craft and trade workers | 387 |
| 7100 | Extraction and building trades worker | 57 |
| 7110 | Miners,shotfirers,stone cutters+carvers | 6 |
| 7111 | Miners and quarry workers | 50 |
| 7112 | Shotfirers and blasters | 3 |
| 7113 | Stone splitters, cutters and carvers | 18 |
| 7120 | Building frame+related trades workers | 73 |
| 7121 | Builders, traditional materials | 123 |
| 7122 | Bricklayers and stonemasons | 270 |
| 7123 | Concrete placers,finishers+rel | 45 |
| 7124 | Carpenters and joiners | 211 |
| 7126 | PH:Carpenters | 8 |
| 7129 | Building frame+rel.trades workers nec | 79 |
| 7130 | Building finishers+rel.trades workers | 33 |
| 7131 | Roofers | 33 |
| 7132 | Floor layers and tile setters | 55 |
| 7133 | Plasterers | 48 |
| 7134 | Insulation workers | 14 |
| 7135 | Glaziers | 16 |
| 7136 | Plumbers and pipe fitters | 174 |
| 7137 | Building+rel.electricians | 176 |
| 7140 | Painters,building cleaners+rel worker | 11 |
| 7141 | Painters and related workers | 153 |
| 7142 | Varnishers and related painters | 31 |
| 7143 | Building structure cleaners | 9 |
| 7200 | Metal,machinery+rel.trades workers | 27 |
| 7210 | Metal moulders,sheetmetal workers+rel | 27 |
| 7211 | Metal moulders vand coremakers | 14 |
| 7212 | Welders and flamecutters | 128 |
| 7213 | Sheet-metal workers | 55 |
| 7214 | Structural-metal preparers+erectors | 67 |
| 7215 | Riggers and cable splicers | 6 |
| 7216 | Underwater workers | 0 |
| 7220 | Blacksmiths,tool-makers+rel.trade | 17 |
| 7221 | Blacksmiths+forging-press worker | 25 |
| 7222 | Tool-makers and related workers | 138 |
| 7223 | Machine-tool setters+setter-operators | 91 |
| 7224 | Metal wheel-grinders+tool sharpeners | 24 |
| 7230 | Machinery mechanics and fitters | 100 |
| 7231 | Motor vehicle mechanics and fitters | 314 |
| 7232 | Aircraft engine mechanics and fitters | 16 |
| 7233 | Agricultural-industrial mechanics | 146 |
| 7234 | NZ:Shipmechanics etc | 1 |
| 7240 | Electrical+electronic equipm.mechanic | 57 |
| 7241 | Electrical mechanics and fitters | 161 |
| 7242 | Electronics fitters | 32 |
| 7243 | Electronics mechanics+servicers | 31 |
| 7244 | Telegraph+telephone installers+service | 29 |
| 7245 | Electrical line installers,repairers | 53 |
| 7300 | Precision,handicraft,printing+other | 7 |
| 7310 | Precision metal workers+rel.materials | 4 |
| 7311 | Precision-instrument makers+repairers | 30 |
| 7312 | Musical-instrument makers+tuners | 2 |
| 7313 | Jewellery and precious-metal workers | 23 |
| 7320 | Potters,glass-makers+rel.trades worker | 1 |
| 7321 | Abrasive wheel formers,potters+rel. | 19 |
| 7322 | Glass-makers,cutters+finishers | 19 |
| 7323 | Glass engravers and etchers | 2 |
| 7324 | Glass,ceramics+rel.decorative painter | 9 |
| 7330 | Handicraft in wood,textile a.s. | 3 |
| 7331 | Handicraft in wood+rel.materials | 39 |
| 7332 | Handicraft in textile,leather+rel | 20 |
| 7340 | Printing+related trades workers | 21 |
| 7341 | Compositors,typesetters+rel.worker | 46 |
| 7342 | Stereotypers,electrotypers | 4 |
| 7343 | Printing engravers and etchers | 10 |
| 7344 | Photographic+related workers | 6 |
| 7345 | Bookbinders+related workers | 21 |
| 7346 | Silk-screen,block+textile printers | 5 |
| 7400 | Other craft+rel.trades workers | 21 |
| 7410 | Food processing+rel.trades workers | 33 |
| 7411 | Butchers+rel.food preparers | 84 |
| 7412 | Bakers+confectionary makers | 145 |
| 7413 | Dairy-products makers | 3 |
| 7414 | Fruit,vegetable+related preservers | 13 |
| 7415 | Food+beverage tasters+graders | 7 |
| 7416 | Tobacco preparers+tobacco prod.maker | 7 |
| 7420 | Wood treaters+rel.trades | 13 |
| 7421 | Wood treaters | 11 |
| 7422 | Cabinet-makers+related workers | 108 |
| 7423 | Woodworking-machine setters+operators | 24 |
| 7424 | Basketry weavers+rel.worker | 3 |
| 7430 | Textile,garment+rel.trades workers | 50 |
| 7431 | Fibre preparers | 12 |
| 7432 | Weavers,knitters+related workers | 58 |
| 7433 | Tailors,dressmakers+hatters | 225 |
| 7434 | Furriers and related workers | 4 |
| 7435 | Textile,leather+rel.pattern-makers | 17 |
| 7436 | Sewers, embroiderers+rel.workers | 168 |
| 7437 | Upholsterers and related workers | 19 |
| 7440 | Pelt,leather+shoemaking trades worker | 1 |
| 7441 | Pelt dressers,tanners+fellmongers | 11 |
| 7442 | Shoemakers+rel.workers | 42 |
| 7450 | LV,NO:Laboratory assistants | 6 |
| 7500 | CZ,DO: Metal worker general | 17 |
| 7510 | CA,DE,HU,NZ,RU,US:Metal worker nec,NL:non farm foremen nec | 84 |
| 7520 | CA,RU:Electronics engineers nec,NL:skilled manual nec | 59 |
| 7530 | RU: Apprentice | 5 |
| 7900 | DE,PH: Master craftsmen,supervisor | 13 |
| 8000 | Plant+machine operators | 316 |
| 8100 | Stationary-plant+related operators | 11 |
| 8110 | Mining+mineral-proc.-plant operator | 7 |
| 8111 | Mining-plant operators | 13 |
| 8112 | Mineral-ore+stone-proc.-plant oper | 7 |
| 8113 | Well drillers+borers+related workers | 11 |
| 8120 | Metal-processing-plant operators | 3 |
| 8121 | Ore ad metal furnace operators | 9 |
| 8122 | Metal melters,casters | 16 |
| 8123 | Metal-heat-treating-plant operator | 9 |
| 8124 | Metal drawers and extruders | 8 |
| 8130 | Glass,ceramics+rel.plant operators | 5 |
| 8131 | Glass,ceramics+rel.machine operator | 13 |
| 8132 | NZ:Operators in insul.glass prod | 1 |
| 8139 | Glass,ceramics+rel.plant operators nec | 9 |
| 8140 | Wood-processing+papermaking-plant oper | 20 |
| 8141 | Wood-processing-plant operators | 48 |
| 8142 | Paper-pulp plant operators | 2 |
| 8143 | Papermaking-plant operators | 15 |
| 8150 | Chemical-processing-plant operators | 16 |
| 8151 | Crushing-,grinding mach.operator | 5 |
| 8152 | Chemical-heat-treating-plant oper | 1 |
| 8153 | Chemical-filtering-equipment oper | 3 |
| 8154 | Chemical-still+reactor operators | 2 |
| 8155 | Petroleum+natural-gas-refing-plant oper | 9 |
| 8159 | Chemical-processing-plant oper,nec | 11 |
| 8160 | Power-production+rel.plant operators | 12 |
| 8161 | Power-production plant operators | 5 |
| 8162 | Steam-engine and boiler operators | 29 |
| 8163 | Icinerator,water-treatment+rel.oper | 11 |
| 8170 | Auto.-assembly-line+ind.-robot oper | 2 |
| 8171 | Automated-assembly-line operators | 15 |
| 8172 | Industrial-robot operators | 2 |
| 8200 | Machine operators and assemblers | 11 |
| 8210 | Metal+mineral-products machine oper | 10 |
| 8211 | Machine-tool operators | 79 |
| 8212 | Cement+o.mineral products machine oper | 10 |
| 8220 | Chemical-products machine operators | 2 |
| 8221 | Pharma.products machine operator | 11 |
| 8222 | Ammunition products machine operator | 6 |
| 8223 | Metal finishing+coating-machine oper | 46 |
| 8224 | Photographic-products machine operator | 2 |
| 8229 | Chemical-products machine oper.nec | 12 |
| 8230 | Rubber+plastic-products machine oper | 3 |
| 8231 | Rubber-products machine oper | 19 |
| 8232 | Plastic-products machine operators | 51 |
| 8240 | Wood-products machine operators | 22 |
| 8250 | Printing+paper-products machine oper | 11 |
| 8251 | Printing-machine operators | 25 |
| 8252 | Bookbinding-machine operators | 4 |
| 8253 | Paper-products machine operators | 13 |
| 8260 | Textile+leather-products machine oper | 21 |
| 8261 | Spinning+winding-machine operators | 22 |
| 8262 | Weaving+knitting-machine operators | 44 |
| 8263 | Sewing-machine operators | 76 |
| 8264 | Bleaching+cleaning-machine operators | 41 |
| 8265 | Fur+leather-preparing-machine operator | 8 |
| 8266 | Shoemaking+related machine operator | 11 |
| 8269 | Textile products machine operators nec | 16 |
| 8270 | Food+rel.products machine operators | 31 |
| 8271 | Meat+fish-processing-machine operator | 57 |
| 8272 | Dairy-products machine operators | 7 |
| 8273 | Grain+spice-milling-machine operator | 4 |
| 8274 | Baked-goods+chocolate-products m-oper | 12 |
| 8275 | Fruit+nut-processing-machine oper | 5 |
| 8276 | Sugar production machine operators | 3 |
| 8277 | Tea,coffee+cocoa-processing-m.oper | 1 |
| 8278 | Beverage machine operators | 16 |
| 8279 | Tobacco production machine operators | 3 |
| 8280 | Assemblers | 33 |
| 8281 | Mechanical-machinery assemblers | 57 |
| 8282 | Electrical-equipment assemblers | 18 |
| 8283 | Electronic-equipment assemblers | 57 |
| 8284 | Metal+plastic-products assemblers | 33 |
| 8285 | Wood+rel.products assemblers | 9 |
| 8286 | Paperboard,textile+rel.prod.assembler | 8 |
| 8290 | Other machine operators+assemblers | 115 |
| 8300 | Drivers and mobile-plant operators | 12 |
| 8310 | Locomotive-engine drivers+rel.workers | 8 |
| 8311 | Locomotive-engine drivers | 36 |
| 8312 | Railway brakers,signallers+shunters | 26 |
| 8320 | Motor-vehicle drivers | 156 |
| 8321 | Motor-cycle drivers | 58 |
| 8322 | Car, taxi and van drivers | 340 |
| 8323 | Bus and tram drivers | 130 |
| 8324 | Heavy truck and lorry drivers | 363 |
| 8330 | Agricultural+other mobile-plant oper | 41 |
| 8331 | Motorised farm+forestry plant oper. | 74 |
| 8332 | Earth-moving+rel.plant operators | 80 |
| 8333 | Crane, hoist and related plant oper | 69 |
| 8334 | Lifting-truck operators | 49 |
| 8340 | Ships deck crews and rel.workers | 21 |
| 8341 | DO:Deck crew, ship | 1 |
| 8400 | NL,RU:Semi-skilled worker nec | 41 |
| 9000 | Elementary occupations | 673 |
| 9100 | Sales+services elementary occupation | 30 |
| 9110 | Street vendors and related workers | 6 |
| 9111 | Street food vendors | 138 |
| 9112 | Street vendors, non-food products | 40 |
| 9113 | Door-to-door,telephone salesperson | 108 |
| 9120 | Shoe cleaning+other street services | 1 |
| 9130 | Domestic+rel.helpers | 215 |
| 9131 | Domestic helpers and cleaners | 570 |
| 9132 | Helpers+cleaners in offices, hotels | 766 |
| 9133 | Hand-launderers and pressers | 67 |
| 9134 | DO,PH:Kitchen+serv.assistants | 6 |
| 9140 | Building caretakers,window+rel.cleaner | 40 |
| 9141 | Building caretakers | 166 |
| 9142 | Vehicle, window+related cleaners | 29 |
| 9150 | Messengers,porters,doorkeepers+rel. | 29 |
| 9151 | Messengers,package,luggage porters | 150 |
| 9152 | Doorkeepers,watchpersons | 185 |
| 9153 | Vending-machine money collectors | 12 |
| 9160 | Garbage collectors+rel.labourers | 11 |
| 9161 | Garbage collectors | 24 |
| 9162 | Sweepers and related labourers | 61 |
| 9200 | Agricultural,fishery+rel.labourers | 11 |
| 9210 | Agricultural,fishery+rel.labourers | 17 |
| 9211 | Farm-hands and labourers | 412 |
| 9212 | Forestry labourers | 27 |
| 9213 | Fishery, hunting+trapping labourers | 16 |
| 9300 | Labour. mining,constr.,manufacturing | 35 |
| 9310 | Mining and construction labourers | 14 |
| 9311 | Mining and quarrying labourers | 8 |
| 9312 | Construction+maintenance labourers | 112 |
| 9313 | Building construction labourers | 272 |
| 9320 | Manufacturing labourers | 165 |
| 9321 | Assembling labourers | 110 |
| 9322 | Hand packers+other manufacturing lab | 198 |
| 9330 | Transport labourers+freight handlers | 67 |
| 9331 | Hand or pedal vehicle drivers | 16 |
| 9332 | Drivers of animal-drawn vehicles+machines | 10 |
| 9333 | Freight handlers | 119 |
| 9340 | RU: Low skilled worker in a hospital | 15 |
| 0 | Not applicable, never had a job, not in paid work | 6310 |
| 9996 | Not classifiable;inadeq described,undocumented | 536 |
| 9997 | Refused | 130 |
| 9998 | Dont know | 55 |
| 9999 | NA | 1247 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40363 | 8278 |
Valid range from 100 to 9340
wrksup R: Supervises others at work
| Value 108184 | Frequency | |
|---|---|---|
| 1 | Yes | 12197 |
| 2 | No | 25444 |
| 0 | Not applicable, never had a job, not in labour force | 9252 |
| 7 | Refused | 33 |
| 8 | Dont know | 76 |
| 9 | NA | 1639 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 37641 | 11000 |
Valid range from 1 to 2
wrktype R: Workg f priv.,pub sector, selfempl.
| Value 109183 | Frequency | |
|---|---|---|
| 1 | Work f government | 7809 |
| 2 | Public owned firm,nat.ind | 3775 |
| 3 | Private firm, others | 21952 |
| 4 | Self employed | 6449 |
| 6 | GB: Other, charity, voluntary sector,ZA:other | 173 |
| 0 | Not applicable, never had a job, not in labour force | 7128 |
| 9 | NA, dont know | 1355 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 40158 | 8483 |
Valid range from 1 to 6
nemploy R: Self-employed - number of employees
| Value 110182 | Frequency | |
|---|---|---|
| 1 | 667 | |
| 2 | 600 | |
| 3 | 284 | |
| 4 | 184 | |
| 5 | 187 | |
| 6 | 257 | |
| 7 | 71 | |
| 8 | 162 | |
| 9 | 172 | |
| 10 | 75 | |
| 11 | 13 | |
| 12 | 57 | |
| 13 | 13 | |
| 14 | 13 | |
| 15 | 35 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 1 | |
| 20 | 43 | |
| 21 | 1 | |
| 22 | 5 | |
| 23 | 4 | |
| 24 | 5 | |
| 25 | 9 | |
| 27 | 2 | |
| 28 | 1 | |
| 29 | 1 | |
| 30 | 22 | |
| 31 | 1 | |
| 32 | 6 | |
| 33 | 1 | |
| 35 | 5 | |
| 37 | 2 | |
| 38 | 2 | |
| 40 | 12 | |
| 42 | 1 | |
| 44 | 1 | |
| 45 | 1 | |
| 48 | 4 | |
| 49 | 15 | |
| 50 | 15 | |
| 54 | 2 | |
| 60 | 7 | |
| 69 | 1 | |
| 70 | 6 | |
| 76 | 1 | |
| 78 | 1 | |
| 79 | 1 | |
| 80 | 3 | |
| 90 | 1 | |
| 97 | 1 | |
| 100 | 2 | |
| 101 | 1 | |
| 114 | 1 | |
| 130 | 1 | |
| 140 | 1 | |
| 150 | 2 | |
| 163 | 1 | |
| 175 | 1 | |
| 179 | 1 | |
| 200 | 5 | |
| 220 | 1 | |
| 250 | 1 | |
| 256 | 1 | |
| 300 | 1 | |
| 303 | 1 | |
| 350 | 1 | |
| 400 | 1 | |
| 1000 | 2 | |
| 9995 | No employee | 3121 |
| 0 | Not applicable (code 1-3,0 in WRKTYPE) | 40426 |
| 9997 | Refused | 18 |
| 9998 | Dont know | 21 |
| 9999 | NA | 2036 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 6140 | 42501 |
Valid range from 1 to 9995
union R: Trade union membership
| Value 111181 | Frequency | |
|---|---|---|
| 1 | Currently member | 8019 |
| 2 | Once member, not now | 8515 |
| 3 | Never member | 26915 |
| 0 | Not applicable, never had a job, not in paid work | 3967 |
| 8 | Dont know | 96 |
| 9 | NA, refused | 1129 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 43449 | 5192 |
Valid range from 1 to 3
spwrkst S-P: Current employment status
| Value 112180 | Frequency | |
|---|---|---|
| 1 | Full-time employed,main job | 15224 |
| 2 | Part-time employed,main job | 2415 |
| 3 | Less than part-time employed | 526 |
| 4 | Helping family member | 278 |
| 5 | Unemployed | 1356 |
| 6 | Student,school,education | 413 |
| 7 | Retired | 5053 |
| 8 | Housewife,-man,home duties | 3808 |
| 9 | Permanently disabled | 555 |
| 10 | Other,not in labour force | 330 |
| 0 | Not applicable, no spouse, partner | 17438 |
| 97 | Refused | 19 |
| 98 | Dont know | 7 |
| 99 | NA | 1219 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 29958 | 18683 |
Valid range from 1 to 10
spisco88 S-P: Occupation ILO,ISCO 1988 4-digit
| Value 113179 | Frequency | |
|---|---|---|
| 100 | Armed forces | 0 |
| 110 | Armed forces;DK:all personnel | 155 |
| 111 | DE,LV,PH,UY:Soldiers | 11 |
| 112 | LV,NL,RU,UY:Officers | 4 |
| 1000 | Legislators,senior off.+managers | 83 |
| 1100 | Legislators and senior officials | 0 |
| 1110 | Legislators | 11 |
| 1114 | TW:Town,county,city legislators | 2 |
| 1120 | Senior government official | 38 |
| 1122 | 1 | |
| 1124 | TW:Principals of public high schools | 0 |
| 1130 | Traditional chiefs+heads of villages | 4 |
| 1131 | TW:County,city (assistant) mayors | 0 |
| 1134 | TW:Principals of public elementary schools | 0 |
| 1140 | Sen.officials of interest organisation | 1 |
| 1141 | Sen.officials of pol.party | 1 |
| 1142 | Sen.officials of empl+workers org | 5 |
| 1143 | Sen.off.of human+other interest org | 7 |
| 1200 | Corporate managers | 23 |
| 1210 | Directors and chief executives | 258 |
| 1220 | Production+operations dep.manager | 71 |
| 1221 | Prod.+oper.managers in agriculture | 15 |
| 1222 | Prod.+oper.managers:manufacturing | 84 |
| 1223 | Prod.+oper.managers:construction | 47 |
| 1224 | Prod.+oper.managers:retail trade | 44 |
| 1225 | Prod.+oper.managers:hotels rest. | 11 |
| 1226 | Prod.+oper.managers:transport,comm | 23 |
| 1227 | Prod.+oper.managers:business serv. | 40 |
| 1228 | Prod.+oper.managers:cleaning | 23 |
| 1229 | Prod.+oper.dep. managers nec | 163 |
| 1230 | Other department managers | 66 |
| 1231 | Finance+administration dep.managers | 75 |
| 1232 | Personnel+industrial rel.dep.managers | 40 |
| 1233 | Sales+marketing dep.managers | 53 |
| 1234 | Advertising+pub.relations dep.managers | 35 |
| 1235 | Supply+distribution dep.managers | 10 |
| 1236 | Computing services dep.managers | 15 |
| 1237 | Research+development dep.managers | 16 |
| 1239 | Other department managers | 43 |
| 1240 | NZ,PH,TW,US:Misc.office supervisors,NL:office manager | 31 |
| 1251 | HU,TW:High-grade military officer | 16 |
| 1252 | HU:Low-grade commissioned officer | 2 |
| 1300 | General managers | 42 |
| 1310 | General managers | 159 |
| 1311 | General managers in agriculture | 19 |
| 1312 | General managers in manufacture | 55 |
| 1313 | General managers in construction | 50 |
| 1314 | Gen.managers in wholesale+retail trade | 241 |
| 1315 | Gen.managers of rest.+hotels | 103 |
| 1316 | Gen.managers in transport+comm. | 40 |
| 1317 | General managers of business services | 29 |
| 1318 | Gen.managers in personal care,cleaning | 24 |
| 1319 | General managers nec | 126 |
| 1320 | CA,PH:Managers in non-specific trade areas | 5 |
| 2000 | Professionals | 120 |
| 2100 | Physical,math.+engineering science | 59 |
| 2110 | Physicists,chemists+rel.professionals | 3 |
| 2111 | Physicists, and astronomers | 3 |
| 2112 | Meteorologists | 1 |
| 2113 | Chemists | 24 |
| 2114 | Geologists and geophysicists | 8 |
| 2120 | Mathematicians, statisticians+rel.prof | 0 |
| 2121 | Mathematicians and related prof | 3 |
| 2122 | Statisticians | 1 |
| 2130 | Computing professionals | 52 |
| 2131 | Computing systems designers+analysts | 61 |
| 2132 | Computer programmers | 58 |
| 2139 | Computing professionals n.e.c. | 22 |
| 2140 | Architects,engineers+rel.profess | 79 |
| 2141 | Architects, town+traffic planners | 56 |
| 2142 | Civil engineers | 74 |
| 2143 | Electrical engineers | 28 |
| 2144 | Electronics+telecomm.engineers | 41 |
| 2145 | Mechanical engineers | 70 |
| 2146 | Chemical engineers | 13 |
| 2147 | Mining engineers,metallurgists+rel | 10 |
| 2148 | Cartographers and surveyors | 18 |
| 2149 | Architects,engineers+rel.prof | 63 |
| 2199 | NZ: Other natural scientist | 0 |
| 2200 | Life science+health professionals | 35 |
| 2210 | Life science professionals | 7 |
| 2211 | Biologist,botanist,zoologist+rel | 17 |
| 2212 | Pharmacologists, pathologists | 13 |
| 2213 | Agronomists+related professionals | 15 |
| 2220 | Health professionals | 32 |
| 2221 | Medical doctors | 136 |
| 2222 | Dentists | 26 |
| 2223 | Veterinarians | 13 |
| 2224 | Pharmacists | 21 |
| 2229 | Health professionals n.e.c. | 22 |
| 2230 | Nursing+midwifery professionals | 182 |
| 2300 | Teaching professionals | 120 |
| 2310 | College,uni+higher educ.teacher | 158 |
| 2320 | Secondary education teacher | 296 |
| 2321 | HU,KR,NL,SI,TW,US,UY:Secondary (high)-school teacher | 53 |
| 2322 | HU,TW,US,UY:Teacher in vocational traing,NL:sec voc teacher | 21 |
| 2330 | Primary+pre-primary educ.teacher | 31 |
| 2331 | Primary educ.teaching prof | 292 |
| 2332 | Pre-primary educ.teaching prof | 52 |
| 2340 | Special educ.teaching profess | 41 |
| 2350 | Other teaching profess,nec | 20 |
| 2351 | Education methods specialists | 12 |
| 2352 | School inspectors | 8 |
| 2359 | Other teaching professionals nec | 30 |
| 2400 | Other professionals | 43 |
| 2410 | Business professionals | 24 |
| 2411 | Accountants | 157 |
| 2412 | Personnel+careers professionals | 37 |
| 2419 | Business professionals n.e.c | 103 |
| 2420 | Legal professionals | 15 |
| 2421 | Lawyers | 73 |
| 2422 | Judges | 2 |
| 2429 | Legal professionals nec | 35 |
| 2430 | Archivists,librarians+rel.info.prof | 6 |
| 2431 | Archivists and curators | 5 |
| 2432 | Librarians+rel.information prof. | 27 |
| 2440 | Social science+rel. prof. | 22 |
| 2441 | Economists | 53 |
| 2442 | Sociologists,anthropologists+rel | 8 |
| 2443 | Philosophers,historians+pol.scientist | 3 |
| 2444 | Philologists,translators+interpreter | 12 |
| 2445 | Psychologists | 43 |
| 2446 | Social work professionals | 48 |
| 2450 | Writers and creative artists | 21 |
| 2451 | Authors,journalists+other writers | 78 |
| 2452 | Sculptors, painters+rel.artists | 31 |
| 2453 | Composers, musicians+singers | 18 |
| 2454 | Choreographers and dancers | 2 |
| 2455 | Film, stage+rel.actors+directors | 10 |
| 2460 | Religious professionals | 36 |
| 2470 | ISCO_COM: Public service administrative prof | 36 |
| 2500 | NO: Education prof. n.e.c. | 4 |
| 3000 | Technicians and related prof. | 75 |
| 3100 | Physical+engineering science techn. | 17 |
| 3110 | Physical+engineering science techn. | 83 |
| 3111 | Chemical+physical science techn. | 23 |
| 3112 | Civil engineering technicians | 75 |
| 3113 | Electrical engineering technicians | 41 |
| 3114 | Electronics+telecommunication techn | 44 |
| 3115 | Mechanical engineering technicians | 45 |
| 3116 | Chemical engineering technicians | 20 |
| 3117 | Mining and metallurgical techn. | 5 |
| 3118 | Draughtspersons | 22 |
| 3119 | Physical+engin.science techn.nec | 62 |
| 3120 | Computer associate professionals | 38 |
| 3121 | Computer assistants | 47 |
| 3122 | Computer equipment operators | 15 |
| 3123 | Industrial robot controllers | 3 |
| 3130 | Optical+electronic equipement oper | 6 |
| 3131 | Photographers+image+sound oper | 14 |
| 3132 | Broadcasting+telecommunications oper | 12 |
| 3133 | Medical equipment operators | 17 |
| 3139 | Optical+electronic operators nec | 0 |
| 3140 | Ship,aircraft controllers+techn. | 8 |
| 3141 | Ships engineers | 9 |
| 3142 | Ships deck officers and pilots | 16 |
| 3143 | Aircraft pilots+rel. professionals | 13 |
| 3144 | Air traffic controllers | 3 |
| 3145 | Air traffic safety technicians | 1 |
| 3150 | Safety and quality inspectors | 10 |
| 3151 | Building and fire inspectors | 7 |
| 3152 | Safety, health+quality inspectors | 49 |
| 3153 | RU: Road policemen | 1 |
| 3200 | Life science+health ass.profess | 23 |
| 3210 | Life science technicians+rel.prof | 5 |
| 3211 | Life science technicians | 33 |
| 3212 | Agronomy and forestry technicians | 16 |
| 3213 | Farming and forestry advisers | 4 |
| 3220 | Modern health ass.professionals | 14 |
| 3221 | Medical assistants | 32 |
| 3222 | Sanitarians | 7 |
| 3223 | Dieticians and nutritionists | 8 |
| 3224 | Optometrists and opticians | 11 |
| 3225 | Dental assistants | 11 |
| 3226 | Physiotherapists+rel.ass.profess | 41 |
| 3227 | Veterinary assistants | 4 |
| 3228 | Pharmaceutical assistants | 22 |
| 3229 | Modern health ass.profess.nec | 16 |
| 3230 | Nursing+midwifery ass.professionals | 43 |
| 3231 | Nursing associate professionals | 198 |
| 3232 | Midwifery associate professionals | 7 |
| 3240 | Trad.medicine practitioner+faith healer | 0 |
| 3241 | Traditional medicine practitioners | 2 |
| 3242 | Faith healers | 0 |
| 3300 | Teaching associate professionals | 20 |
| 3310 | Primary educ.teachg ass.prof. | 131 |
| 3320 | Pre-primary educ. teachg ass. prof. | 84 |
| 3330 | Spec.educ. teaching ass. prof. | 10 |
| 3340 | Other teaching associate profess | 71 |
| 3341 | TW:Teachers in technical college | 2 |
| 3400 | Other associate professionals | 67 |
| 3410 | Finance+sales associate professionals | 90 |
| 3411 | Securities+finance dealers and brokers | 34 |
| 3412 | Insurance representatives | 58 |
| 3413 | Estate agents | 62 |
| 3414 | Travel consultants and organisers | 12 |
| 3415 | Technical+commercial sales represent | 244 |
| 3416 | Buyers | 26 |
| 3417 | Appraisers,valuers+auctioneers | 27 |
| 3419 | Finance+sales ass.professionals nec | 61 |
| 3420 | Business services agents+trade broker | 6 |
| 3421 | Trade brokers | 20 |
| 3422 | Clearing and forwarding agents | 15 |
| 3423 | Employment agents+labour contractors | 9 |
| 3429 | Other business services agents nec | 14 |
| 3430 | Administrative ass.professionals | 60 |
| 3431 | Administrative secretaries+rel.prof | 130 |
| 3432 | Legal+rel.business ass. profess | 100 |
| 3433 | Bookkeepers | 135 |
| 3434 | Statistical,mathematical+rel.prof | 9 |
| 3439 | Administrative ass.profess. nec | 103 |
| 3440 | Customs,tax+rel.government prof | 38 |
| 3441 | Customs and border inspectors | 17 |
| 3442 | Government tax and excise officials | 14 |
| 3443 | Government social benefits officials | 14 |
| 3444 | Government licensing officials | 3 |
| 3445 | DO,PH,UY:Public employment service worker | 10 |
| 3449 | Customs,tax+rel. government prof nec | 18 |
| 3450 | Police inspectors and detectives | 44 |
| 3451 | 1 | |
| 3452 | HU,NL,TW:Armed forces non-commiss. officer+army nec | 13 |
| 3460 | Social work associate professionals | 83 |
| 3470 | Artistic,entertainment+sports prof | 24 |
| 3471 | Decorators and commercial designers | 54 |
| 3472 | Radio,television+other announcers | 5 |
| 3473 | Musicians,singers,dancers | 6 |
| 3474 | Clowns,magicians,acrobates+rel.prof | 2 |
| 3475 | Athletes,sportspersons+rel.prof | 24 |
| 3480 | Religious associate professionals | 10 |
| 4000 | Office worker,clerks | 238 |
| 4100 | Office clerks | 188 |
| 4110 | Secretaries+keyboard-operating clerks | 139 |
| 4111 | Stenographers and typists | 15 |
| 4112 | Word-processor and rel.operators | 48 |
| 4113 | Data entry operators | 18 |
| 4114 | Calculating machine operators | 13 |
| 4115 | Secretaries | 240 |
| 4120 | Numerical clerks | 55 |
| 4121 | Accounting and bookkeeping clerks | 213 |
| 4122 | Statistical and finance clerks | 100 |
| 4130 | Material-recording+transport clerks | 21 |
| 4131 | Stock clerks | 138 |
| 4132 | Production clerks | 33 |
| 4133 | Transport clerks | 43 |
| 4140 | Library, mail and related clerks | 18 |
| 4141 | Library and filing clerks | 24 |
| 4142 | Mail carriers and sorting clerks | 60 |
| 4143 | Coding, proof-reading+rel.clerks | 5 |
| 4144 | Scribes and related workers | 21 |
| 4190 | Other office clerks;DK:also assisting spouse | 370 |
| 4200 | Customer services clerks | 41 |
| 4210 | Cashiers, tellers and rel.clerks | 74 |
| 4211 | Cashiers and ticket clerks | 83 |
| 4212 | Tellers and other counter clerks | 66 |
| 4213 | Bookmakers and croupiers | 9 |
| 4214 | Pawnbrokers and money-lenders | 0 |
| 4215 | Debt-collectors and related workers | 19 |
| 4220 | Client information clerks | 17 |
| 4221 | Travel agency and related clerks | 18 |
| 4222 | Receptionists+information clerks | 108 |
| 4223 | Telephone switchboard operators | 40 |
| 4300 | HR,KR,PH: Office helping workers | 4 |
| 4400 | CA: Post office,higher civil service | 0 |
| 5000 | Personal service, sale | 224 |
| 5100 | Personal+protective services workers | 56 |
| 5110 | Travel attendents+related workers | 4 |
| 5111 | Travel attendents+travel stewards | 9 |
| 5112 | Transport conductors | 13 |
| 5113 | Travel guides | 9 |
| 5120 | Housekeeping+rest. services workers | 58 |
| 5121 | Housekeepers and related workers | 92 |
| 5122 | Cooks | 296 |
| 5123 | Waiters, waitresses and bartenders | 184 |
| 5130 | Personal care and related workers | 194 |
| 5131 | Child care workers | 152 |
| 5132 | Institution-based personal care workers | 189 |
| 5133 | Home-based personal care workers | 71 |
| 5134 | JP:Dental secretaries | 3 |
| 5139 | Personal care+related workers nec | 32 |
| 5140 | Other personal services workers | 17 |
| 5141 | Hairdressers,beauticians+rel.workers | 195 |
| 5142 | Companions and valets | 9 |
| 5143 | Undertakers and embalmers | 4 |
| 5149 | Other personal services workers nec | 20 |
| 5150 | Astrologers,fortune-tellers | 0 |
| 5151 | Astrologers and related workers | 0 |
| 5152 | Fortune-tellers+related workers | 1 |
| 5160 | Protective services workers | 19 |
| 5161 | Fire-fighters | 20 |
| 5162 | Police officers | 106 |
| 5163 | Prison guards | 18 |
| 5164 | PH:Caretakers, houseporters | 2 |
| 5169 | Protective services workers nec | 94 |
| 5200 | Models,salespersons+demonstrators | 52 |
| 5210 | Fashion and other models | 3 |
| 5220 | Shop salespersons and demonstrators | 936 |
| 5221 | DO,KR,LV,SI,PH,UY:Shop staff, sales staff+other | 79 |
| 5223 | KR,PH:Wholesale merchants | 9 |
| 5230 | Stall and market salespersons | 66 |
| 6000 | Skilled agricultural+fishery worker | 34 |
| 6100 | Market-orient.agric.skilled worker | 58 |
| 6110 | Market gardeners and crop growers | 25 |
| 6111 | Field crop and vegetable growers | 273 |
| 6112 | Tree and shrub crop growers | 60 |
| 6113 | Gardeners,hortic.+nursery growers | 52 |
| 6114 | Mixed-crop growers | 30 |
| 6120 | Market-oriented animal producers | 7 |
| 6121 | Dairy and livestock producers | 111 |
| 6122 | Poultry producers | 13 |
| 6123 | Apiarists and sericulturists | 2 |
| 6124 | Mixed animal producers | 3 |
| 6129 | Market-oriented animal producers nec | 8 |
| 6130 | Market-oriented crop animal producer | 228 |
| 6132 | PH,US: Farmers | 80 |
| 6133 | TW,US: Farm supervisors,NL:farmer nec | 9 |
| 6140 | Forestry and related worker | 6 |
| 6141 | Forestry workers and logger | 22 |
| 6142 | Charcoal burners and related worker | 3 |
| 6150 | Fishery workers,hunters+trappers | 18 |
| 6151 | Aquatic-life cultivation worker | 2 |
| 6152 | Inland+coastal waters fishery worker | 12 |
| 6153 | Deep-sea fishery worker | 9 |
| 6154 | Hunters and trappers | 0 |
| 6200 | Subsistence agricultural+fishery worker | 11 |
| 6210 | Subsistence agricultural+fishery worker | 8 |
| 7000 | Craft and trade workers | 291 |
| 7100 | Extraction and building trades worker | 46 |
| 7110 | Miners,shotfirers,stone cutters+carvers | 9 |
| 7111 | Miners and quarry workers | 38 |
| 7112 | Shotfirers and blasters | 0 |
| 7113 | Stone splitters, cutters and carvers | 11 |
| 7120 | Building frame+related trades workers | 53 |
| 7121 | Builders, traditional materials | 91 |
| 7122 | Bricklayers and stonemasons | 215 |
| 7123 | Concrete placers,finishers+rel | 32 |
| 7124 | Carpenters and joiners | 186 |
| 7126 | PH:Carpenters | 10 |
| 7129 | Building frame+rel.trades workers nec | 58 |
| 7130 | Building finishers+rel.trades workers | 48 |
| 7131 | Roofers | 12 |
| 7132 | Floor layers and tile setters | 27 |
| 7133 | Plasterers | 31 |
| 7134 | Insulation workers | 7 |
| 7135 | Glaziers | 17 |
| 7136 | Plumbers and pipe fitters | 131 |
| 7137 | Building+rel.electricians | 109 |
| 7139 | 1 | |
| 7140 | Painters,building cleaners+rel worker | 10 |
| 7141 | Painters and related workers | 98 |
| 7142 | Varnishers and related painters | 13 |
| 7143 | Building structure cleaners | 4 |
| 7200 | Metal,machinery+rel.trades workers | 22 |
| 7210 | Metal moulders,sheetmetal workers+rel | 17 |
| 7211 | Metal moulders vand coremakers | 12 |
| 7212 | Welders and flamecutters | 106 |
| 7213 | Sheet-metal workers | 37 |
| 7214 | Structural-metal preparers+erectors | 64 |
| 7215 | Riggers and cable splicers | 1 |
| 7216 | Underwater workers | 0 |
| 7220 | Blacksmiths,tool-makers+rel.trade | 17 |
| 7221 | Blacksmiths+forging-press worker | 30 |
| 7222 | Tool-makers and related workers | 107 |
| 7223 | Machine-tool setters+setter-operators | 65 |
| 7224 | Metal wheel-grinders+tool sharpeners | 34 |
| 7230 | Machinery mechanics and fitters | 51 |
| 7231 | Motor vehicle mechanics and fitters | 230 |
| 7232 | Aircraft engine mechanics and fitters | 11 |
| 7233 | Agricultural-industrial mechanics | 91 |
| 7240 | Electrical+electronic equipm.mechanic | 50 |
| 7241 | Electrical mechanics and fitters | 131 |
| 7242 | Electronics fitters | 28 |
| 7243 | Electronics mechanics+servicers | 28 |
| 7244 | Telegraph+telephone installers+service | 27 |
| 7245 | Electrical line installers,repairers | 31 |
| 7300 | Precision,handicraft,printing+other | 6 |
| 7310 | Precision metal workers+rel.materials | 3 |
| 7311 | Precision-instrument makers+repairers | 25 |
| 7312 | Musical-instrument makers+tuners | 3 |
| 7313 | Jewellery and precious-metal workers | 15 |
| 7320 | Potters,glass-makers+rel.trades worker | 2 |
| 7321 | Abrasive wheel formers,potters+rel. | 14 |
| 7322 | Glass-makers,cutters+finishers | 14 |
| 7323 | Glass engravers and etchers | 2 |
| 7324 | Glass,ceramics+rel.decorative painter | 15 |
| 7330 | Handicraft in wood,textile a.s. | 1 |
| 7331 | Handicraft in wood+rel.materials | 21 |
| 7332 | Handicraft in textile,leather+rel | 8 |
| 7340 | Printing+related trades workers | 11 |
| 7341 | Compositors,typesetters+rel.worker | 27 |
| 7342 | Stereotypers,electrotypers | 4 |
| 7343 | Printing engravers and etchers | 10 |
| 7344 | Photographic+related workers | 5 |
| 7345 | Bookbinders+related workers | 8 |
| 7346 | Silk-screen,block+textile printers | 5 |
| 7400 | Other craft+rel.trades workers | 12 |
| 7410 | Food processing+rel.trades workers | 21 |
| 7411 | Butchers+rel.food preparers | 52 |
| 7412 | Bakers+confectionary makers | 78 |
| 7413 | Dairy-products makers | 7 |
| 7414 | Fruit,vegetable+related preservers | 5 |
| 7415 | Food+beverage tasters+graders | 7 |
| 7416 | Tobacco preparers+tobacco prod.maker | 2 |
| 7420 | Wood treaters+rel.trades | 7 |
| 7421 | Wood treaters | 5 |
| 7422 | Cabinet-makers+related workers | 83 |
| 7423 | Woodworking-machine setters+operators | 9 |
| 7424 | Basketry weavers+rel.worker | 2 |
| 7430 | Textile,garment+rel.trades workers | 34 |
| 7431 | Fibre preparers | 4 |
| 7432 | Weavers,knitters+related workers | 34 |
| 7433 | Tailors,dressmakers+hatters | 102 |
| 7434 | Furriers and related workers | 1 |
| 7435 | Textile,leather+rel.pattern-makers | 8 |
| 7436 | Sewers, embroiderers+rel.workers | 105 |
| 7437 | Upholsterers and related workers | 11 |
| 7440 | Pelt,leather+shoemaking trades worker | 3 |
| 7441 | Pelt dressers,tanners+fellmongers | 6 |
| 7442 | Shoemakers+rel.workers | 29 |
| 7500 | CZ,DO: Metal worker general | 7 |
| 7510 | CA,DE;HU,NZ,RU,US:Metal worker nec,NL:non farm foremen nec | 45 |
| 7520 | CA,RU:Electronics engineers nec,NL:skilled manual nec | 37 |
| 7530 | RU: Apprentice | 0 |
| 7900 | DE,PH: Master craftsmen,supervisor | 12 |
| 8000 | Plant+machine operators | 151 |
| 8100 | Stationary-plant+related operators | 9 |
| 8110 | Mining+mineral-proc.-plant operator | 1 |
| 8111 | Mining-plant operators | 5 |
| 8112 | Mineral-ore+stone-proc.-plant oper | 6 |
| 8113 | Well drillers+borers+related workers | 3 |
| 8120 | Metal-processing-plant operators | 5 |
| 8121 | Ore ad metal furnace operators | 5 |
| 8122 | Metal melters,casters | 5 |
| 8123 | Metal-heat-treating-plant operator | 2 |
| 8124 | Metal drawers and extruders | 2 |
| 8130 | Glass,ceramics+rel.plant operators | 2 |
| 8131 | Glass,ceramics+rel.machine operator | 13 |
| 8139 | Glass,ceramics+rel.plant operators nec | 2 |
| 8140 | Wood-processing+papermaking-plant oper | 8 |
| 8141 | Wood-processing-plant operators | 25 |
| 8142 | Paper-pulp plant operators | 3 |
| 8143 | Papermaking-plant operators | 11 |
| 8150 | Chemical-processing-plant operators | 12 |
| 8151 | Crushing-,grinding mach.operator | 6 |
| 8152 | Chemical-heat-treating-plant oper | 1 |
| 8153 | Chemical-filtering-equipment oper | 1 |
| 8154 | Chemical-still+reactor operators | 4 |
| 8155 | Petroleum+natural-gas-refing-plant oper | 4 |
| 8159 | Chemical-processing-plant oper,nec | 7 |
| 8160 | Power-production+rel.plant operators | 6 |
| 8161 | Power-production plant operators | 6 |
| 8162 | Steam-engine and boiler operators | 25 |
| 8163 | Icinerator,water-treatment+rel.oper | 13 |
| 8170 | Auto.-assembly-line+ind.-robot oper | 1 |
| 8171 | Automated-assembly-line operators | 7 |
| 8172 | Industrial-robot operators | 0 |
| 8200 | Machine operators and assemblers | 61 |
| 8210 | Metal+mineral-products machine oper | 4 |
| 8211 | Machine-tool operators | 37 |
| 8212 | Cement+o.mineral products machine oper | 12 |
| 8220 | Chemical-products machine operators | 2 |
| 8221 | Pharma.products machine operator | 5 |
| 8222 | Ammunition products machine operator | 7 |
| 8223 | Metal finishing+coating-machine oper | 30 |
| 8224 | Photographic-products machine operator | 1 |
| 8229 | Chemical-products machine oper.nec | 4 |
| 8230 | Rubber+plastic-products machine oper | 3 |
| 8231 | Rubber-products machine oper | 10 |
| 8232 | Plastic-products machine operators | 33 |
| 8240 | Wood-products machine operators | 13 |
| 8250 | Printing+paper-products machine oper | 3 |
| 8251 | Printing-machine operators | 23 |
| 8252 | Bookbinding-machine operators | 1 |
| 8253 | Paper-products machine operators | 10 |
| 8260 | Textile+leather-products machine oper | 10 |
| 8261 | Spinning+winding-machine operators | 19 |
| 8262 | Weaving+knitting-machine operators | 21 |
| 8263 | Sewing-machine operators | 32 |
| 8264 | Bleaching+cleaning-machine operators | 20 |
| 8265 | Fur+leather-preparing-machine operator | 3 |
| 8266 | Shoemaking+related machine operator | 4 |
| 8269 | Textile products machine operators nec | 10 |
| 8270 | Food+rel.products machine operators | 24 |
| 8271 | Meat+fish-processing-machine operator | 36 |
| 8272 | Dairy-products machine operators | 5 |
| 8273 | Grain+spice-milling-machine operator | 10 |
| 8274 | Baked-goods+chocolate-products m-oper | 9 |
| 8275 | Fruit+nut-processing-machine oper | 2 |
| 8276 | Sugar production machine operators | 0 |
| 8277 | Tea,coffee+cocoa-processing-m.oper | 1 |
| 8278 | Beverage machine operators | 9 |
| 8279 | Tobacco production machine operators | 2 |
| 8280 | Assemblers | 20 |
| 8281 | Mechanical-machinery assemblers | 34 |
| 8282 | Electrical-equipment assemblers | 6 |
| 8283 | Electronic-equipment assemblers | 45 |
| 8284 | Metal+plastic-products assemblers | 18 |
| 8285 | Wood+rel.products assemblers | 3 |
| 8286 | Paperboard,textile+rel.prod.assembler | 1 |
| 8290 | Other machine operators+assemblers | 107 |
| 8300 | Drivers and mobile-plant operators | 15 |
| 8310 | Locomotive-engine drivers+rel.workers | 3 |
| 8311 | Locomotive-engine drivers | 30 |
| 8312 | Railway brakers,signallers+shunters | 17 |
| 8320 | Motor-vehicle drivers | 118 |
| 8321 | Motor-cycle drivers | 57 |
| 8322 | Car, taxi and van drivers | 269 |
| 8323 | Bus and tram drivers | 106 |
| 8324 | Heavy truck and lorry drivers | 350 |
| 8330 | Agricultural+other mobile-plant oper | 33 |
| 8331 | Motorised farm+forestry plant oper. | 56 |
| 8332 | Earth-moving+rel.plant operators | 63 |
| 8333 | Crane, hoist and related plant oper | 39 |
| 8334 | Lifting-truck operators | 32 |
| 8340 | Ships deck crews and rel.workers | 15 |
| 8400 | NL,RU: Semi-skilled worker nec | 18 |
| 9000 | Elementary occupations | 342 |
| 9100 | Sales+services elementary occupation | 19 |
| 9110 | Street vendors and related workers | 18 |
| 9111 | Street food vendors | 81 |
| 9112 | Street vendors, non-food products | 14 |
| 9113 | Door-to-door,telephone salesperson | 53 |
| 9120 | Shoe cleaning+other street services | 2 |
| 9130 | Domestic+rel.helpers | 114 |
| 9131 | Domestic helpers and cleaners | 202 |
| 9132 | Helpers+cleaners in offices, hotels | 353 |
| 9133 | Hand-launderers and pressers | 31 |
| 9134 | DO,PH:Kitchen+serv.assistants | 2 |
| 9140 | Building caretakers,window+rel.cleaner | 25 |
| 9141 | Building caretakers | 86 |
| 9142 | Vehicle, window+related cleaners | 18 |
| 9150 | Messengers,porters,doorkeepers+rel. | 17 |
| 9151 | Messengers,package,luggage porters | 64 |
| 9152 | Doorkeepers,watchpersons | 101 |
| 9153 | Vending-machine money collectors | 6 |
| 9160 | Garbage collectors+rel.labourers | 19 |
| 9161 | Garbage collectors | 8 |
| 9162 | Sweepers and related labourers | 30 |
| 9200 | Agricultural,fishery+rel.labourers | 5 |
| 9210 | Agricultural,fishery+rel.labourers | 11 |
| 9211 | Farm-hands and labourers | 227 |
| 9212 | Forestry labourers | 26 |
| 9213 | Fishery, hunting+trapping labourers | 4 |
| 9300 | Labour. mining,constr.,manufacturing | 20 |
| 9310 | Mining and construction labourers | 4 |
| 9311 | Mining and quarrying labourers | 8 |
| 9312 | Construction+maintenance labourers | 73 |
| 9313 | Building construction labourers | 186 |
| 9320 | Manufacturing labourers | 108 |
| 9321 | Assembling labourers | 44 |
| 9322 | Hand packers+other manufacturing lab | 85 |
| 9330 | Transport labourers+freight handlers | 45 |
| 9331 | Hand or pedal vehicle drivers | 9 |
| 9332 | Drivers of animal-drawn vehicles+machines | 6 |
| 9333 | Freight handlers | 60 |
| 9340 | RU: Low skilled worker in a hospital | 3 |
| 0 | Not applicable,no spouse,partner,never had a job | 21852 |
| 9996 | Not classifiable;inadeq described,undocumented | 464 |
| 9997 | Refused | 145 |
| 9998 | Dont know | 198 |
| 9999 | NA | 1557 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 24425 | 24216 |
Valid range from 100 to 9340
spwrktyp S-P:Workg f priv,pub sector,self-empl.
| Value 114178 | Frequency | |
|---|---|---|
| 1 | Work f government | 5036 |
| 2 | Public owned firm,nat.ind | 2663 |
| 3 | Private firm, others | 12562 |
| 4 | Self employed | 4177 |
| 6 | GB:Other,charity,voluntary sector,ZA:other | 89 |
| 0 | Not applicable,no spouse,partner,never had a job;Not availab | 22772 |
| 9 | NA, dont know | 1342 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 24527 | 24114 |
Valid range from 1 to 6
au_rinc R: Earnings: Australia
| Value 115177 | Frequency | |
|---|---|---|
| 0 | No own income | 102 |
| 3120 | 1-6.239 AUD per year | 80 |
| 7280 | 6.240-8.319 AUD | 66 |
| 9360 | 8.320-10.399 AUD | 91 |
| 13000 | 10.400-15.599 AUD | 330 |
| 18200 | 15.600-20.799 AUD | 182 |
| 23400 | 20.800-25.999 AUD | 194 |
| 28600 | 26.000-31.199 AUD | 178 |
| 33800 | 31.200-36.399 AUD | 142 |
| 39000 | 36.400-41.599 AUD | 143 |
| 46800 | 41.600-51.999 AUD | 272 |
| 65000 | 52.000-77.999 AUD | 415 |
| 91000 | 78.000-103.999 AUD | 178 |
| 104000 | 104.000 AUD or more per year | 172 |
| 999990 | NAP, other countries | 45860 |
| 999999 | NA | 236 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2545 | 46096 |
Valid range from 0 to 104000
ca_rinc R: Earnings: Canada
| Value 116176 | Frequency | |
|---|---|---|
| 10000 | Under 15.000 CAD per year | 127 |
| 20000 | 15.000-24.999 CAD | 122 |
| 30000 | 25.000-34.999 CAD | 145 |
| 40000 | 35.000-44.999 CAD | 118 |
| 50000 | 45.000-54.999 CAD | 81 |
| 60000 | 55.000-64.999 CAD | 76 |
| 70000 | 65.000-74.999 CAD | 46 |
| 80000 | 75.000-84.999 CAD | 45 |
| 90000 | 85.000-94.999 CAD | 31 |
| 100000 | 95.000 CAD and more per year | 56 |
| 999990 | NAP, other countries | 47708 |
| 999997 | Refused | 4 |
| 999999 | NA | 82 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 847 | 47794 |
Valid range from 10000 to 100000
ch_rinc R: Earnings: Switzerland
| Value 117175 | Frequency | |
|---|---|---|
| 0 | No own income | 33 |
| 150 | 150 CHF per month | 1 |
| 200 | 1 | |
| 300 | 3 | |
| 350 | 1 | |
| 380 | 1 | |
| 400 | 3 | |
| 500 | 3 | |
| 600 | 4 | |
| 750 | 2 | |
| 760 | 1 | |
| 790 | 1 | |
| 800 | 5 | |
| 830 | 1 | |
| 900 | 4 | |
| 904 | 1 | |
| 940 | 1 | |
| 1000 | 24 | |
| 1067 | 1 | |
| 1100 | 4 | |
| 1200 | 4 | |
| 1250 | 1 | |
| 1260 | 1 | |
| 1300 | 6 | |
| 1400 | 3 | |
| 1410 | 1 | |
| 1423 | 1 | |
| 1490 | 1 | |
| 1500 | 11 | |
| 1540 | 1 | |
| 1575 | 1 | |
| 1580 | 1 | |
| 1600 | 6 | |
| 1616 | 1 | |
| 1622 | 1 | |
| 1635 | 1 | |
| 1650 | 1 | |
| 1658 | 3 | |
| 1667 | 1 | |
| 1685 | 1 | |
| 1700 | 6 | |
| 1800 | 5 | |
| 1900 | 4 | |
| 2000 | 20 | |
| 2100 | 7 | |
| 2150 | 2 | |
| 2200 | 12 | |
| 2300 | 3 | |
| 2400 | 4 | |
| 2455 | 1 | |
| 2500 | 26 | |
| 2600 | 9 | |
| 2700 | 4 | |
| 2722 | 1 | |
| 2750 | 1 | |
| 2759 | 1 | |
| 2800 | 10 | |
| 2850 | 1 | |
| 2860 | 1 | |
| 2900 | 1 | |
| 3000 | 31 | |
| 3050 | 1 | |
| 3100 | 5 | |
| 3180 | 1 | |
| 3200 | 7 | |
| 3250 | 1 | |
| 3300 | 4 | |
| 3400 | 5 | |
| 3500 | 28 | |
| 3600 | 6 | |
| 3700 | 7 | |
| 3750 | 2 | |
| 3800 | 8 | |
| 3900 | 4 | |
| 3913 | 1 | |
| 4000 | 33 | |
| 4004 | 1 | |
| 4100 | 6 | |
| 4190 | 1 | |
| 4200 | 10 | |
| 4300 | 9 | |
| 4400 | 3 | |
| 4457 | 1 | |
| 4500 | 39 | |
| 4600 | 6 | |
| 4633 | 1 | |
| 4680 | 1 | |
| 4700 | 2 | |
| 4800 | 12 | |
| 4850 | 1 | |
| 4900 | 4 | |
| 4950 | 1 | |
| 5000 | 39 | |
| 5100 | 2 | |
| 5200 | 8 | |
| 5300 | 5 | |
| 5400 | 5 | |
| 5444 | 1 | |
| 5500 | 27 | |
| 5503 | 1 | |
| 5545 | 1 | |
| 5600 | 6 | |
| 5613 | 1 | |
| 5691 | 1 | |
| 5700 | 3 | |
| 5779 | 1 | |
| 5800 | 10 | |
| 5860 | 1 | |
| 5900 | 2 | |
| 6000 | 27 | |
| 6200 | 4 | |
| 6300 | 1 | |
| 6400 | 3 | |
| 6500 | 23 | |
| 6600 | 2 | |
| 6700 | 3 | |
| 6800 | 4 | |
| 7000 | 19 | |
| 7200 | 2 | |
| 7277 | 1 | |
| 7300 | 3 | |
| 7400 | 1 | |
| 7500 | 12 | |
| 7600 | 1 | |
| 7700 | 1 | |
| 7900 | 1 | |
| 8000 | 15 | |
| 8200 | 1 | |
| 8300 | 1 | |
| 8400 | 1 | |
| 8500 | 8 | |
| 9000 | 6 | |
| 9100 | 1 | |
| 9300 | 1 | |
| 9500 | 2 | |
| 10000 | 12 | |
| 10500 | 1 | |
| 10700 | 1 | |
| 10800 | 1 | |
| 11500 | 1 | |
| 12000 | 2 | |
| 13000 | 1 | |
| 14500 | 1 | |
| 15000 | 3 | |
| 16000 | 2 | |
| 17000 | 1 | |
| 19000 | 19.000 CHF per month | 5 |
| 999990 | NAP, other countries | 47638 |
| 999997 | Refused | 177 |
| 999998 | DK | 29 |
| 999999 | NA | 5 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 792 | 47849 |
Valid range from 0 to 19000
cl_rinc R: Earnings: Chile
| Value 118174 | Frequency | |
|---|---|---|
| 20000 | Less than 35.000 CLP per month | 241 |
| 45000 | 35.001-56.000 CLP | 117 |
| 66000 | 56.001-78.000 CLP | 102 |
| 90000 | 78.001-101.000 CLP | 130 |
| 122000 | 101.001-134.000 CLP | 157 |
| 155000 | 134.001-179.000 CLP | 130 |
| 200000 | 179.001-224.000 CLP | 91 |
| 250000 | 224.001-291.000 CLP | 73 |
| 310000 | 291.001-358.000 CLP | 48 |
| 400000 | 358.001-448.000 CLP | 41 |
| 750000 | 448.001-1.000.000 CLP | 55 |
| 1500000 | 1.000.001-2.000.000 CLP | 20 |
| 2500000 | 2.000.001-3.000.000 CLP | 8 |
| 3100000 | More than 3.000.000 CLP per month | 4 |
| 9999990 | NAP, other countries | 47136 |
| 9999998 | DK | 41 |
| 9999999 | NA | 247 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1217 | 47424 |
Valid range from 20000 to 3100000
cz_rinc R: Earnings: Czech Republic
| Value 119173 | Frequency | |
|---|---|---|
| 0 | No own income | 48 |
| 3000 | 1-5.999 CZK per month | 85 |
| 6750 | 6.000-7.499 CZK | 93 |
| 8250 | 7.500-8.999 CZK | 178 |
| 9500 | 9.000-9.999 CZK | 113 |
| 10500 | 10.000-10.999 CZK | 77 |
| 11500 | 11.000-11.999 CZK | 61 |
| 12750 | 12.000-13.499 CZK | 59 |
| 14250 | 13.500-14.999 CZK | 58 |
| 16000 | 15.000-16.999 CZK | 55 |
| 18500 | 17.500-19.999 CZK | 39 |
| 22500 | 20.000-24.999 CZK | 42 |
| 27500 | 25.000-29.999 CZK | 15 |
| 32500 | 30.000-34.500 CZK | 8 |
| 37500 | 35.000-39.999 CZK | 4 |
| 45000 | 40.000-49.999 CZK | 4 |
| 55000 | 50.000-59.999 CZK | 0 |
| 65000 | 60.000 CZK and more per month | 2 |
| 999990 | NAP, other countries | 47440 |
| 999997 | Refused | 157 |
| 999998 | DK | 7 |
| 999999 | NA | 96 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 941 | 47700 |
Valid range from 0 to 65000
de_rinc R: Earnings: Germany
| Value 120172 | Frequency | |
|---|---|---|
| 0 | No own income | 154 |
| 20 | 20 EUR per month | 1 |
| 80 | 1 | |
| 88 | 1 | |
| 100 | 5 | |
| 104 | 1 | |
| 120 | 2 | |
| 144 | 1 | |
| 150 | 3 | |
| 170 | 2 | |
| 178 | 1 | |
| 180 | 1 | |
| 190 | 1 | |
| 199 | 1 | |
| 200 | 16 | |
| 215 | 1 | |
| 221 | 1 | |
| 227 | 1 | |
| 240 | 3 | |
| 248 | 1 | |
| 249 | 1 | |
| 250 | 5 | |
| 253 | 1 | |
| 256 | 1 | |
| 260 | 1 | |
| 280 | 4 | |
| 290 | 1 | |
| 298 | 4 | |
| 299 | 1 | |
| 300 | 19 | |
| 302 | 1 | |
| 305 | 1 | |
| 310 | 1 | |
| 311 | 1 | |
| 315 | 2 | |
| 320 | 1 | |
| 321 | 1 | |
| 325 | 2 | |
| 330 | 2 | |
| 331 | 3 | |
| 333 | 1 | |
| 340 | 1 | |
| 342 | 1 | |
| 345 | 9 | |
| 350 | 7 | |
| 355 | 1 | |
| 358 | 1 | |
| 360 | 1 | |
| 370 | 1 | |
| 375 | 1 | |
| 380 | 3 | |
| 385 | 1 | |
| 390 | 1 | |
| 395 | 1 | |
| 400 | 38 | |
| 401 | 1 | |
| 410 | 1 | |
| 412 | 1 | |
| 416 | 1 | |
| 420 | 1 | |
| 426 | 1 | |
| 430 | 3 | |
| 440 | 2 | |
| 442 | 1 | |
| 445 | 1 | |
| 450 | 14 | |
| 455 | 1 | |
| 460 | 4 | |
| 468 | 1 | |
| 470 | 1 | |
| 480 | 2 | |
| 490 | 1 | |
| 497 | 1 | |
| 500 | 21 | |
| 510 | 2 | |
| 516 | 1 | |
| 520 | 4 | |
| 525 | 1 | |
| 530 | 1 | |
| 545 | 1 | |
| 550 | 6 | |
| 555 | 1 | |
| 560 | 3 | |
| 562 | 8 | |
| 568 | 1 | |
| 570 | 2 | |
| 574 | 1 | |
| 580 | 2 | |
| 590 | 3 | |
| 600 | 36 | |
| 601 | 1 | |
| 608 | 1 | |
| 613 | 1 | |
| 620 | 5 | |
| 630 | 2 | |
| 635 | 2 | |
| 636 | 1 | |
| 640 | 3 | |
| 645 | 1 | |
| 648 | 1 | |
| 650 | 14 | |
| 655 | 1 | |
| 660 | 1 | |
| 663 | 1 | |
| 664 | 1 | |
| 670 | 2 | |
| 672 | 1 | |
| 680 | 2 | |
| 683 | 1 | |
| 687 | 6 | |
| 690 | 2 | |
| 699 | 1 | |
| 700 | 28 | |
| 702 | 1 | |
| 704 | 1 | |
| 710 | 1 | |
| 715 | 1 | |
| 720 | 4 | |
| 730 | 1 | |
| 731 | 1 | |
| 740 | 3 | |
| 742 | 1 | |
| 750 | 17 | |
| 752 | 1 | |
| 760 | 2 | |
| 770 | 1 | |
| 780 | 4 | |
| 785 | 1 | |
| 789 | 2 | |
| 790 | 1 | |
| 799 | 1 | |
| 800 | 28 | |
| 810 | 1 | |
| 812 | 11 | |
| 816 | 1 | |
| 820 | 5 | |
| 825 | 2 | |
| 828 | 1 | |
| 830 | 2 | |
| 840 | 1 | |
| 850 | 13 | |
| 852 | 1 | |
| 860 | 1 | |
| 864 | 1 | |
| 870 | 3 | |
| 875 | 1 | |
| 890 | 1 | |
| 891 | 1 | |
| 900 | 35 | |
| 911 | 1 | |
| 912 | 1 | |
| 920 | 2 | |
| 923 | 1 | |
| 930 | 1 | |
| 937 | 17 | |
| 940 | 1 | |
| 950 | 3 | |
| 960 | 6 | |
| 970 | 1 | |
| 975 | 3 | |
| 978 | 1 | |
| 980 | 2 | |
| 1000 | 47 | |
| 1020 | 1 | |
| 1040 | 1 | |
| 1050 | 5 | |
| 1060 | 1 | |
| 1062 | 14 | |
| 1084 | 1 | |
| 1100 | 38 | |
| 1102 | 1 | |
| 1125 | 2 | |
| 1150 | 3 | |
| 1180 | 1 | |
| 1187 | 10 | |
| 1200 | 50 | |
| 1215 | 1 | |
| 1230 | 3 | |
| 1235 | 1 | |
| 1240 | 1 | |
| 1250 | 13 | |
| 1260 | 1 | |
| 1280 | 1 | |
| 1290 | 1 | |
| 1300 | 26 | |
| 1312 | 16 | |
| 1320 | 2 | |
| 1350 | 5 | |
| 1375 | 1 | |
| 1380 | 1 | |
| 1390 | 1 | |
| 1400 | 29 | |
| 1437 | 18 | |
| 1450 | 3 | |
| 1460 | 1 | |
| 1490 | 1 | |
| 1500 | 55 | |
| 1540 | 1 | |
| 1550 | 3 | |
| 1600 | 38 | |
| 1625 | 16 | |
| 1650 | 8 | |
| 1680 | 2 | |
| 1700 | 20 | |
| 1750 | 3 | |
| 1780 | 1 | |
| 1800 | 22 | |
| 1850 | 6 | |
| 1875 | 13 | |
| 1890 | 1 | |
| 1900 | 12 | |
| 1940 | 1 | |
| 1950 | 2 | |
| 2000 | 39 | |
| 2050 | 1 | |
| 2100 | 5 | |
| 2125 | 10 | |
| 2200 | 9 | |
| 2250 | 1 | |
| 2300 | 8 | |
| 2333 | 1 | |
| 2350 | 1 | |
| 2375 | 9 | |
| 2400 | 9 | |
| 2450 | 1 | |
| 2451 | 1 | |
| 2500 | 20 | |
| 2507 | 1 | |
| 2600 | 7 | |
| 2625 | 3 | |
| 2650 | 1 | |
| 2700 | 2 | |
| 2800 | 4 | |
| 2875 | 9 | |
| 2900 | 3 | |
| 3000 | 12 | |
| 3100 | 1 | |
| 3150 | 1 | |
| 3200 | 3 | |
| 3300 | 2 | |
| 3500 | 17 | |
| 3600 | 1 | |
| 4000 | 5 | |
| 4200 | 1 | |
| 4500 | 4 | |
| 5000 | 2 | |
| 5500 | 1 | |
| 5800 | 1 | |
| 6250 | 5 | |
| 6500 | 1 | |
| 7500 | 1 | |
| 8000 | 8.000 EUR per month | 1 |
| 999990 | NAP, other countries | 46998 |
| 999997 | Refused | 208 |
| 999999 | NA | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1432 | 47209 |
Valid range from 0 to 8000
dk_rinc R: Earnings: Denmark
| Value 121171 | Frequency | |
|---|---|---|
| 70000 | Below 100.000 DKK per year | 130 |
| 125000 | 100.000-149.999 DKK | 177 |
| 175000 | 150.000-199.999 DKK | 152 |
| 225000 | 200.000-249.999 DKK | 171 |
| 275000 | 250.000-299.999 DKK | 166 |
| 350000 | 300.000-399.999 DKK | 261 |
| 450000 | 400.000-499.999 DKK | 143 |
| 550000 | 500.000-599.999 DKK | 52 |
| 650000 | 600.000 DKK or more per year | 89 |
| 999990 | NAP, other countries | 47273 |
| 999999 | NA | 27 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1341 | 47300 |
Valid range from 70000 to 650000
do_rinc R: Earnings: Dominican Republic
| Value 122170 | Frequency | |
|---|---|---|
| 2500 | Less than 5.000 DOP per month | 1080 |
| 10500 | 5.000-15.999 DOP | 739 |
| 21500 | 16.000-26.999 DOP | 132 |
| 32500 | 27.000-37.999 DOP | 37 |
| 43500 | 38.000-48.999 DOP | 12 |
| 54500 | 49.000-59.999 DOP | 2 |
| 65000 | 60.000-69.999 DOP | 2 |
| 75000 | 70.000-79.999 DOP | 1 |
| 85000 | 80.000-89.999 DOP | 0 |
| 95000 | 90.000 DOP and more per month | 1 |
| 999990 | NAP, other countries | 46535 |
| 999999 | NA | 100 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2006 | 46635 |
Valid range from 2500 to 95000
es_rinc R: Earnings: Spain
| Value 123169 | Frequency | |
|---|---|---|
| 250 | 300 EUR per month or less | 74 |
| 450 | 301-600 EUR | 341 |
| 750 | 601-900 EUR | 345 |
| 1050 | 901-1.200 EUR | 416 |
| 1500 | 1.201-1.800 EUR | 359 |
| 2100 | 1.801-2.400 EUR | 114 |
| 2700 | 2.400-3.000 EUR | 60 |
| 3750 | 3.001-4.500 EUR | 16 |
| 5250 | 4.501-6.000 EUR | 3 |
| 7000 | More than 6.000 EUR per month | 9 |
| 0 | No income, never had a job | 363 |
| 999990 | NAP, other countries | 46124 |
| 999999 | NA | 417 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1737 | 46904 |
Valid range from 250 to 7000
fi_rinc R: Earnings: Finland
| Value 124168 | Frequency | |
|---|---|---|
| 0 | No own income | 14 |
| 20 | 20 EUR per month | 1 |
| 22 | 1 | |
| 36 | 1 | |
| 50 | 2 | |
| 60 | 2 | |
| 100 | 5 | |
| 130 | 1 | |
| 150 | 1 | |
| 160 | 1 | |
| 186 | 1 | |
| 190 | 1 | |
| 200 | 1 | |
| 203 | 1 | |
| 220 | 1 | |
| 224 | 1 | |
| 235 | 1 | |
| 250 | 4 | |
| 254 | 1 | |
| 259 | 4 | |
| 300 | 5 | |
| 334 | 1 | |
| 350 | 1 | |
| 360 | 2 | |
| 374 | 1 | |
| 376 | 2 | |
| 380 | 1 | |
| 400 | 8 | |
| 408 | 1 | |
| 410 | 1 | |
| 417 | 1 | |
| 418 | 1 | |
| 420 | 1 | |
| 430 | 1 | |
| 434 | 2 | |
| 450 | 9 | |
| 460 | 4 | |
| 461 | 1 | |
| 470 | 7 | |
| 480 | 1 | |
| 500 | 21 | |
| 504 | 1 | |
| 505 | 1 | |
| 517 | 1 | |
| 520 | 1 | |
| 550 | 2 | |
| 560 | 2 | |
| 570 | 1 | |
| 585 | 1 | |
| 600 | 14 | |
| 602 | 1 | |
| 625 | 1 | |
| 638 | 2 | |
| 642 | 1 | |
| 650 | 2 | |
| 670 | 1 | |
| 690 | 2 | |
| 691 | 1 | |
| 700 | 23 | |
| 727 | 1 | |
| 730 | 1 | |
| 746 | 1 | |
| 750 | 6 | |
| 756 | 1 | |
| 770 | 1 | |
| 799 | 1 | |
| 800 | 21 | |
| 820 | 1 | |
| 835 | 1 | |
| 840 | 1 | |
| 850 | 6 | |
| 851 | 1 | |
| 860 | 1 | |
| 892 | 1 | |
| 900 | 18 | |
| 901 | 1 | |
| 914 | 1 | |
| 915 | 1 | |
| 918 | 1 | |
| 920 | 1 | |
| 932 | 1 | |
| 940 | 1 | |
| 950 | 5 | |
| 952 | 1 | |
| 970 | 1 | |
| 986 | 1 | |
| 1000 | 41 | |
| 1050 | 2 | |
| 1070 | 1 | |
| 1077 | 1 | |
| 1090 | 1 | |
| 1100 | 15 | |
| 1110 | 1 | |
| 1116 | 1 | |
| 1120 | 1 | |
| 1157 | 1 | |
| 1200 | 31 | |
| 1250 | 2 | |
| 1272 | 1 | |
| 1278 | 1 | |
| 1280 | 1 | |
| 1288 | 1 | |
| 1300 | 13 | |
| 1320 | 1 | |
| 1330 | 1 | |
| 1348 | 1 | |
| 1350 | 1 | |
| 1385 | 1 | |
| 1395 | 2 | |
| 1400 | 15 | |
| 1442 | 1 | |
| 1450 | 1 | |
| 1459 | 1 | |
| 1468 | 1 | |
| 1473 | 1 | |
| 1486 | 1 | |
| 1500 | 34 | |
| 1522 | 1 | |
| 1550 | 1 | |
| 1560 | 2 | |
| 1580 | 1 | |
| 1600 | 27 | |
| 1626 | 1 | |
| 1630 | 1 | |
| 1634 | 1 | |
| 1645 | 2 | |
| 1650 | 5 | |
| 1670 | 1 | |
| 1680 | 2 | |
| 1700 | 35 | |
| 1712 | 1 | |
| 1724 | 1 | |
| 1730 | 2 | |
| 1732 | 1 | |
| 1750 | 4 | |
| 1785 | 1 | |
| 1790 | 2 | |
| 1800 | 31 | |
| 1833 | 1 | |
| 1840 | 1 | |
| 1847 | 1 | |
| 1850 | 1 | |
| 1870 | 1 | |
| 1877 | 1 | |
| 1897 | 1 | |
| 1900 | 13 | |
| 1918 | 1 | |
| 1950 | 5 | |
| 1960 | 1 | |
| 1968 | 1 | |
| 1980 | 1 | |
| 2000 | 66 | |
| 2010 | 1 | |
| 2039 | 1 | |
| 2050 | 2 | |
| 2057 | 1 | |
| 2070 | 1 | |
| 2084 | 1 | |
| 2100 | 13 | |
| 2120 | 2 | |
| 2150 | 1 | |
| 2156 | 1 | |
| 2166 | 1 | |
| 2200 | 32 | |
| 2205 | 1 | |
| 2206 | 1 | |
| 2250 | 2 | |
| 2259 | 1 | |
| 2270 | 1 | |
| 2280 | 1 | |
| 2300 | 19 | |
| 2350 | 2 | |
| 2354 | 1 | |
| 2370 | 1 | |
| 2400 | 12 | |
| 2445 | 1 | |
| 2500 | 48 | |
| 2520 | 1 | |
| 2550 | 2 | |
| 2600 | 17 | |
| 2700 | 10 | |
| 2720 | 1 | |
| 2750 | 1 | |
| 2800 | 18 | |
| 2840 | 1 | |
| 2850 | 1 | |
| 2852 | 1 | |
| 2872 | 1 | |
| 2900 | 14 | |
| 2930 | 1 | |
| 2950 | 1 | |
| 3000 | 35 | |
| 3100 | 6 | |
| 3166 | 1 | |
| 3200 | 8 | |
| 3300 | 4 | |
| 3345 | 1 | |
| 3350 | 1 | |
| 3400 | 1 | |
| 3500 | 10 | |
| 3550 | 1 | |
| 3600 | 2 | |
| 3650 | 1 | |
| 3700 | 2 | |
| 3719 | 1 | |
| 3750 | 1 | |
| 3800 | 1 | |
| 3900 | 2 | |
| 4000 | 17 | |
| 4100 | 2 | |
| 4166 | 1 | |
| 4200 | 5 | |
| 4400 | 2 | |
| 4500 | 8 | |
| 4600 | 2 | |
| 4700 | 3 | |
| 4800 | 1 | |
| 5000 | 10 | |
| 5100 | 1 | |
| 5200 | 1 | |
| 5300 | 1 | |
| 5500 | 4 | |
| 5600 | 1 | |
| 5625 | 1 | |
| 5700 | 1 | |
| 6000 | 5 | |
| 6100 | 1 | |
| 6500 | 1 | |
| 6700 | 1 | |
| 6750 | 1 | |
| 6900 | 1 | |
| 7000 | 1 | |
| 7200 | 1 | |
| 7500 | 1 | |
| 8000 | 2 | |
| 8600 | 1 | |
| 9000 | 1 | |
| 10000 | 4 | |
| 10196 | 1 | |
| 12000 | 1 | |
| 17000 | 1 | |
| 50000 | 50.000 EUR per month | 1 |
| 999990 | NAP, other countries | 47452 |
| 999999 | NA | 159 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1030 | 47611 |
Valid range from 0 to 50000
fr_rinc R: Earnings: France
| Value 125167 | Frequency | |
|---|---|---|
| 0 | No own income, not in paid work | 96 |
| 250 | Less than 500 EUR per month | 69 |
| 650 | 500-800 EUR | 111 |
| 1000 | 800-1.200 EUR | 247 |
| 1450 | 1.200-1.700 EUR | 369 |
| 2050 | 1.700-2.400 EUR | 291 |
| 2750 | 2.400-3.100 EUR | 129 |
| 3450 | 3.100-3.800 EUR | 66 |
| 4150 | 3.800-4.500 EUR | 42 |
| 5250 | 4.500-6.000 EUR | 27 |
| 6750 | 6.000-7.500 EUR | 10 |
| 8250 | More than 7.500 EUR per month | 16 |
| 999990 | NAP, other countries | 46817 |
| 999999 | NA | 351 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1473 | 47168 |
Valid range from 0 to 8250
gb_rinc R: Earnings: Great Britain
| Value 126166 | Frequency | |
|---|---|---|
| 2000 | Up to 3.999 GBP | 14 |
| 5000 | 4.000-5.999 GBP | 28 |
| 7000 | 6.000-7.999 GBP | 27 |
| 9000 | 8.000-9.999 GBP | 23 |
| 11000 | 10.000-11.999 GBP | 26 |
| 13500 | 12.000-14.999 GBP | 44 |
| 16500 | 15.000-17.999 GBP | 48 |
| 19000 | 18.000-19.999 GBP | 38 |
| 21500 | 20.000-22.999 GBP | 45 |
| 24500 | 23.000-25.999 GBP | 36 |
| 27500 | 26.000-28.999 GBP | 27 |
| 30500 | 29.000-31.999 GBP | 14 |
| 35000 | 32.000-37.999 GBP | 32 |
| 41000 | 38.000-43.999 GBP | 10 |
| 47000 | 44.000-49.999 GBP | 15 |
| 53000 | 50.000-55.999 GBP | 5 |
| 59000 | 56.000 GBP or more | 33 |
| 0 | Not in labour force | 405 |
| 999990 | NAP, other countries | 47711 |
| 999997 | Refused | 36 |
| 999998 | DK | 13 |
| 999999 | NA | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 465 | 48176 |
Valid range from 2000 to 59000
hr_rinc R: Earnings: Croatia
| Value 127165 | Frequency | |
|---|---|---|
| 0 | No regular income | 248 |
| 150 | 150 HRK per month | 1 |
| 200 | 1 | |
| 270 | 1 | |
| 280 | 1 | |
| 300 | 2 | |
| 340 | 1 | |
| 400 | 5 | |
| 450 | 1 | |
| 494 | 1 | |
| 500 | 8 | |
| 560 | 1 | |
| 600 | 5 | |
| 630 | 1 | |
| 641 | 1 | |
| 700 | 3 | |
| 800 | 8 | |
| 870 | 1 | |
| 880 | 1 | |
| 890 | 1 | |
| 900 | 6 | |
| 930 | 1 | |
| 950 | 1 | |
| 1000 | 22 | |
| 1070 | 1 | |
| 1100 | 10 | |
| 1120 | 1 | |
| 1140 | 1 | |
| 1156 | 1 | |
| 1160 | 1 | |
| 1200 | 11 | |
| 1240 | 1 | |
| 1260 | 1 | |
| 1300 | 10 | |
| 1350 | 3 | |
| 1400 | 9 | |
| 1430 | 1 | |
| 1450 | 2 | |
| 1490 | 1 | |
| 1500 | 32 | |
| 1530 | 1 | |
| 1550 | 1 | |
| 1574 | 1 | |
| 1600 | 18 | |
| 1620 | 1 | |
| 1650 | 4 | |
| 1690 | 1 | |
| 1700 | 7 | |
| 1750 | 1 | |
| 1800 | 13 | |
| 1840 | 1 | |
| 1897 | 1 | |
| 1900 | 5 | |
| 1920 | 1 | |
| 1950 | 1 | |
| 1980 | 1 | |
| 2000 | 43 | |
| 2025 | 1 | |
| 2030 | 1 | |
| 2050 | 1 | |
| 2070 | 1 | |
| 2100 | 10 | |
| 2195 | 1 | |
| 2200 | 20 | |
| 2250 | 1 | |
| 2300 | 14 | |
| 2309 | 1 | |
| 2400 | 10 | |
| 2450 | 1 | |
| 2460 | 1 | |
| 2500 | 38 | |
| 2600 | 14 | |
| 2642 | 1 | |
| 2700 | 10 | |
| 2750 | 1 | |
| 2800 | 11 | |
| 2850 | 1 | |
| 2900 | 5 | |
| 2930 | 1 | |
| 3000 | 47 | |
| 3030 | 1 | |
| 3090 | 1 | |
| 3100 | 3 | |
| 3200 | 9 | |
| 3300 | 4 | |
| 3400 | 6 | |
| 3500 | 31 | |
| 3600 | 4 | |
| 3700 | 3 | |
| 3800 | 9 | |
| 3900 | 3 | |
| 4000 | 50 | |
| 4100 | 1 | |
| 4200 | 5 | |
| 4300 | 5 | |
| 4400 | 1 | |
| 4500 | 25 | |
| 4600 | 1 | |
| 4700 | 6 | |
| 4800 | 4 | |
| 4820 | 1 | |
| 5000 | 34 | |
| 5040 | 1 | |
| 5200 | 2 | |
| 5300 | 2 | |
| 5450 | 1 | |
| 5500 | 11 | |
| 5600 | 1 | |
| 5700 | 1 | |
| 6000 | 26 | |
| 6200 | 2 | |
| 6500 | 5 | |
| 7000 | 8 | |
| 7200 | 1 | |
| 7300 | 1 | |
| 7700 | 1 | |
| 8000 | 6 | |
| 8500 | 2 | |
| 9500 | 1 | |
| 10000 | 3 | |
| 11000 | 2 | |
| 20000 | 1 | |
| 30000 | 1 | |
| 50000 | 50.000 HRK per month | 1 |
| 999990 | NAP, other countries | 47441 |
| 999997 | Refused | 101 |
| 999998 | DK | 18 |
| 999999 | NA | 93 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 988 | 47653 |
Valid range from 0 to 50000
hu_rinc R: Earnings: Hungary
| Value 128164 | Frequency | |
|---|---|---|
| 2000 | 2.000 HUF | 1 |
| 10000 | 2 | |
| 11000 | 1 | |
| 11900 | 1 | |
| 12500 | 1 | |
| 15000 | 1 | |
| 16000 | 1 | |
| 17000 | 2 | |
| 17200 | 5 | |
| 17290 | 2 | |
| 18000 | 2 | |
| 18200 | 1 | |
| 19000 | 3 | |
| 19020 | 1 | |
| 19100 | 1 | |
| 19500 | 1 | |
| 19700 | 1 | |
| 19760 | 1 | |
| 20000 | 5 | |
| 21000 | 4 | |
| 21500 | 1 | |
| 21600 | 1 | |
| 22000 | 12 | |
| 22600 | 2 | |
| 22800 | 1 | |
| 23000 | 6 | |
| 23400 | 1 | |
| 23500 | 1 | |
| 23600 | 2 | |
| 24000 | 2 | |
| 25000 | 3 | |
| 25468 | 1 | |
| 25500 | 1 | |
| 26000 | 2 | |
| 27000 | 5 | |
| 27500 | 1 | |
| 27700 | 1 | |
| 28000 | 2 | |
| 28500 | 1 | |
| 29600 | 1 | |
| 29800 | 1 | |
| 30000 | 10 | |
| 31000 | 1 | |
| 31500 | 2 | |
| 32000 | 4 | |
| 32600 | 1 | |
| 33000 | 2 | |
| 33700 | 1 | |
| 34000 | 3 | |
| 34300 | 1 | |
| 34600 | 1 | |
| 35000 | 9 | |
| 35955 | 1 | |
| 36000 | 4 | |
| 37400 | 1 | |
| 37500 | 2 | |
| 37700 | 1 | |
| 37800 | 1 | |
| 38000 | 3 | |
| 39000 | 3 | |
| 39800 | 1 | |
| 40000 | 11 | |
| 41000 | 6 | |
| 42000 | 11 | |
| 43000 | 7 | |
| 44000 | 5 | |
| 44200 | 1 | |
| 44500 | 1 | |
| 45000 | 8 | |
| 45500 | 1 | |
| 46000 | 5 | |
| 47000 | 2 | |
| 48000 | 5 | |
| 48500 | 1 | |
| 49000 | 7 | |
| 50000 | 17 | |
| 50300 | 1 | |
| 50500 | 2 | |
| 51000 | 5 | |
| 52000 | 8 | |
| 52600 | 1 | |
| 52800 | 1 | |
| 53000 | 13 | |
| 53969 | 1 | |
| 54000 | 8 | |
| 54300 | 1 | |
| 55000 | 28 | |
| 56000 | 6 | |
| 56123 | 1 | |
| 56200 | 1 | |
| 57000 | 13 | |
| 57400 | 1 | |
| 58000 | 8 | |
| 58567 | 1 | |
| 58600 | 1 | |
| 59000 | 1 | |
| 60000 | 23 | |
| 60300 | 1 | |
| 61000 | 7 | |
| 61800 | 1 | |
| 62000 | 19 | |
| 62300 | 1 | |
| 63000 | 6 | |
| 63700 | 1 | |
| 64000 | 9 | |
| 65000 | 16 | |
| 66000 | 1 | |
| 66262 | 1 | |
| 67000 | 4 | |
| 68000 | 7 | |
| 68700 | 1 | |
| 69600 | 1 | |
| 69900 | 1 | |
| 70000 | 28 | |
| 70650 | 1 | |
| 71000 | 4 | |
| 71500 | 1 | |
| 71800 | 1 | |
| 72000 | 5 | |
| 73000 | 6 | |
| 73400 | 1 | |
| 73500 | 1 | |
| 74000 | 5 | |
| 75000 | 16 | |
| 76000 | 2 | |
| 77000 | 1 | |
| 78000 | 8 | |
| 79000 | 2 | |
| 80000 | 28 | |
| 80024 | 1 | |
| 81000 | 1 | |
| 81500 | 1 | |
| 82000 | 3 | |
| 83000 | 2 | |
| 84000 | 1 | |
| 84500 | 1 | |
| 85000 | 27 | |
| 86000 | 4 | |
| 87000 | 5 | |
| 88000 | 2 | |
| 89000 | 1 | |
| 90000 | 14 | |
| 91000 | 1 | |
| 93000 | 1 | |
| 94000 | 1 | |
| 95000 | 10 | |
| 96000 | 1 | |
| 97000 | 1 | |
| 98000 | 2 | |
| 99000 | 1 | |
| 100000 | 14 | |
| 101600 | 1 | |
| 103000 | 1 | |
| 105000 | 5 | |
| 107000 | 2 | |
| 110000 | 13 | |
| 112000 | 1 | |
| 115000 | 2 | |
| 116000 | 1 | |
| 117000 | 1 | |
| 120000 | 7 | |
| 125000 | 12 | |
| 130000 | 6 | |
| 135000 | 1 | |
| 140000 | 4 | |
| 150000 | 2 | |
| 160000 | 1 | |
| 180000 | 2 | |
| 200000 | 2 | |
| 250000 | 2 | |
| 500000 | 500.000 HUF | 134 |
| 0 | No income, never had a job | 64 |
| 999990 | NAP, other countries | 47631 |
| 999997 | Refused | 110 |
| 999998 | DK | 1 |
| 999999 | NA | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 832 | 47809 |
Valid range from 2000 to 500000
ie_rinc R: Earnings: Ireland
| Value 129163 | Frequency | |
|---|---|---|
| 5000 | Under 6.000 EUR per year | 84 |
| 7750 | 6.000-9.500 EUR | 106 |
| 10750 | 9.500-12.000 EUR | 137 |
| 15000 | 12.000-18.000 EUR | 113 |
| 21000 | 18.000-24.000 EUR | 89 |
| 27000 | 24.000-30.000 EUR | 82 |
| 33000 | 30.000-36.000 EUR | 71 |
| 48000 | 36.000-60.000 EUR | 84 |
| 75000 | 60.000-90.000 EUR | 22 |
| 105000 | 90.000-120.000 EUR | 10 |
| 140000 | 120.000-160.000 EUR | 1 |
| 165000 | 160.000 EUR and more per year | 2 |
| 999990 | NAP, other countries | 47640 |
| 999997 | Refused | 126 |
| 999998 | DK | 35 |
| 999999 | NA | 39 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 801 | 47840 |
Valid range from 5000 to 165000
il_rinc R: Earnings: Israel
| Value 130162 | Frequency | |
|---|---|---|
| 1000 | 2.000 ILS and less | 99 |
| 3000 | 2.001-4.000 ILS | 178 |
| 5000 | 4.001-6.000 ILS | 171 |
| 7000 | 6.001-8.000 ILS | 93 |
| 9000 | 8.001-10.000 ILS | 60 |
| 13000 | 10.001-15.000 ILS | 28 |
| 15500 | More than 15.000 ILS | 21 |
| 0 | No own income, not in paid work | 572 |
| 999990 | NAP, other countries | 47296 |
| 999997 | Refused | 72 |
| 999998 | DK | 4 |
| 999999 | NA | 47 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 650 | 47991 |
Valid range from 1000 to 15500
jp_rinc R: Earnings: Japan
| Value 131161 | Frequency | |
|---|---|---|
| 500000 | Less than 1.000.000 JPY per year | 245 |
| 1500000 | 1.000.000-1.999.999 JPY | 209 |
| 2500000 | 2.000.000-2.999.999 JPY | 170 |
| 3500000 | 3.000.000-3.999.999 JPY | 105 |
| 4500000 | 4.000.000-4.999.999 JPY | 77 |
| 5500000 | 5.000.000-5.999.999 JPY | 63 |
| 6500000 | 6.000.000-6.999.999 JPY | 23 |
| 7500000 | 7.000.000-7.999.999 JPY | 30 |
| 8500000 | 8.000.000-8.999.999 JPY | 16 |
| 9500000 | 9.000.000-9.999.999 JPY | 18 |
| 11000000 | 10.000.000-11.999.999 JPY | 12 |
| 13500000 | 12.000.000-14.999.999 JPY | 8 |
| 20000000 | 15.000.000 JPY and more per year | 11 |
| 0 | No own income, not in paid work | 174 |
| 99999990 | NAP, other countries | 47410 |
| 99999999 | NA | 70 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 987 | 47654 |
Valid range from 500000 to 20000000
kr_rinc R: Earnings: South Korea
| Value 132160 | Frequency | |
|---|---|---|
| 30000 | 30.000 KRW per month | 1 |
| 70000 | 1 | |
| 100000 | 7 | |
| 150000 | 2 | |
| 200000 | 8 | |
| 240000 | 1 | |
| 250000 | 7 | |
| 300000 | 10 | |
| 320000 | 1 | |
| 330000 | 1 | |
| 350000 | 4 | |
| 360000 | 1 | |
| 400000 | 10 | |
| 430000 | 1 | |
| 450000 | 2 | |
| 500000 | 17 | |
| 530000 | 1 | |
| 550000 | 1 | |
| 580000 | 1 | |
| 600000 | 15 | |
| 620000 | 1 | |
| 630000 | 2 | |
| 650000 | 5 | |
| 700000 | 16 | |
| 750000 | 9 | |
| 770000 | 1 | |
| 800000 | 23 | |
| 830000 | 2 | |
| 850000 | 3 | |
| 900000 | 8 | |
| 950000 | 3 | |
| 990000 | 1 | |
| 1000000 | 82 | |
| 1100000 | 10 | |
| 1150000 | 1 | |
| 1200000 | 20 | |
| 1250000 | 4 | |
| 1300000 | 18 | |
| 1350000 | 1 | |
| 1400000 | 7 | |
| 1450000 | 1 | |
| 1500000 | 74 | |
| 1550000 | 2 | |
| 1600000 | 14 | |
| 1650000 | 2 | |
| 1670000 | 2 | |
| 1700000 | 16 | |
| 1750000 | 6 | |
| 1800000 | 17 | |
| 1900000 | 8 | |
| 1970000 | 1 | |
| 2000000 | 98 | |
| 2100000 | 2 | |
| 2150000 | 1 | |
| 2200000 | 9 | |
| 2250000 | 5 | |
| 2300000 | 6 | |
| 2400000 | 3 | |
| 2500000 | 54 | |
| 2600000 | 4 | |
| 2700000 | 8 | |
| 2750000 | 5 | |
| 2800000 | 6 | |
| 2900000 | 1 | |
| 2920000 | 1 | |
| 3000000 | 70 | |
| 3100000 | 2 | |
| 3250000 | 2 | |
| 3300000 | 6 | |
| 3330000 | 1 | |
| 3500000 | 17 | |
| 3750000 | 3 | |
| 3800000 | 5 | |
| 3900000 | 1 | |
| 4000000 | 42 | |
| 4200000 | 4 | |
| 4250000 | 1 | |
| 4500000 | 10 | |
| 4700000 | 2 | |
| 4830000 | 1 | |
| 5000000 | 14 | |
| 5250000 | 2 | |
| 5500000 | 1 | |
| 5800000 | 1 | |
| 6000000 | 10 | |
| 6250000 | 2 | |
| 6500000 | 1 | |
| 7000000 | 8 | |
| 7500000 | 1 | |
| 8000000 | 4 | |
| 8500000 | 1 | |
| 9000000 | 1 | |
| 10000000 | 3 | |
| 14000000 | 1 | |
| 17500000 | 1 | |
| 20000000 | 3 | |
| 25000000 | 1 | |
| 35000000 | 1 | |
| 37000000 | 1 | |
| 75000000 | 75.000.000 KRW per month | 1 |
| 0 | No own income, not in paid work | 711 |
| 99999990 | NAP, other countries | 47036 |
| 99999999 | NA | 14 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 880 | 47761 |
Valid range from 30000 to 75000000
lv_rinc R: Earnings: Latvia
| Value 133159 | Frequency | |
|---|---|---|
| 6 | 6 LVL | 2 |
| 7 | 7 | |
| 8 | 2 | |
| 10 | 4 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 1 | |
| 20 | 5 | |
| 30 | 3 | |
| 35 | 1 | |
| 36 | 3 | |
| 38 | 1 | |
| 39 | 1 | |
| 40 | 3 | |
| 42 | 1 | |
| 45 | 3 | |
| 47 | 1 | |
| 50 | 6 | |
| 56 | 1 | |
| 58 | 2 | |
| 60 | 5 | |
| 62 | 3 | |
| 65 | 3 | |
| 69 | 1 | |
| 70 | 5 | |
| 72 | 1 | |
| 73 | 1 | |
| 74 | 1 | |
| 75 | 3 | |
| 76 | 1 | |
| 78 | 1 | |
| 79 | 1 | |
| 80 | 13 | |
| 84 | 5 | |
| 85 | 6 | |
| 86 | 3 | |
| 87 | 5 | |
| 88 | 2 | |
| 89 | 2 | |
| 90 | 9 | |
| 91 | 1 | |
| 92 | 4 | |
| 93 | 3 | |
| 94 | 12 | |
| 95 | 4 | |
| 96 | 10 | |
| 97 | 4 | |
| 98 | 14 | |
| 100 | 40 | |
| 101 | 5 | |
| 102 | 9 | |
| 103 | 4 | |
| 104 | 3 | |
| 105 | 7 | |
| 106 | 5 | |
| 108 | 1 | |
| 109 | 2 | |
| 110 | 7 | |
| 111 | 2 | |
| 112 | 1 | |
| 113 | 2 | |
| 115 | 2 | |
| 116 | 4 | |
| 117 | 1 | |
| 118 | 1 | |
| 119 | 1 | |
| 120 | 26 | |
| 122 | 1 | |
| 125 | 1 | |
| 126 | 2 | |
| 127 | 1 | |
| 128 | 2 | |
| 130 | 8 | |
| 132 | 2 | |
| 135 | 2 | |
| 136 | 1 | |
| 140 | 9 | |
| 142 | 1 | |
| 143 | 1 | |
| 144 | 1 | |
| 145 | 3 | |
| 146 | 3 | |
| 147 | 3 | |
| 150 | 23 | |
| 153 | 1 | |
| 157 | 1 | |
| 160 | 13 | |
| 164 | 1 | |
| 165 | 1 | |
| 167 | 1 | |
| 170 | 7 | |
| 175 | 1 | |
| 177 | 1 | |
| 180 | 19 | |
| 182 | 1 | |
| 183 | 1 | |
| 185 | 1 | |
| 186 | 2 | |
| 190 | 4 | |
| 192 | 2 | |
| 200 | 39 | |
| 202 | 2 | |
| 210 | 5 | |
| 211 | 1 | |
| 215 | 1 | |
| 219 | 1 | |
| 220 | 13 | |
| 224 | 1 | |
| 230 | 10 | |
| 235 | 1 | |
| 240 | 4 | |
| 250 | 31 | |
| 256 | 1 | |
| 259 | 1 | |
| 260 | 9 | |
| 265 | 1 | |
| 270 | 4 | |
| 278 | 1 | |
| 280 | 19 | |
| 287 | 1 | |
| 289 | 1 | |
| 290 | 1 | |
| 300 | 43 | |
| 320 | 2 | |
| 330 | 2 | |
| 340 | 1 | |
| 350 | 16 | |
| 370 | 4 | |
| 380 | 3 | |
| 385 | 1 | |
| 397 | 1 | |
| 400 | 29 | |
| 410 | 1 | |
| 420 | 3 | |
| 442 | 1 | |
| 450 | 9 | |
| 460 | 2 | |
| 480 | 1 | |
| 500 | 17 | |
| 550 | 1 | |
| 586 | 1 | |
| 596 | 1 | |
| 600 | 14 | |
| 648 | 1 | |
| 670 | 1 | |
| 680 | 1 | |
| 700 | 7 | |
| 750 | 1 | |
| 800 | 7 | |
| 880 | 1 | |
| 900 | 3 | |
| 1000 | 6 | |
| 2000 | 2.000 LVL | 1 |
| 0 | No own income, not in paid work | 63 |
| 999990 | NAP, other countries | 47572 |
| 999997 | Refused | 226 |
| 999998 | DK | 30 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 750 | 47891 |
Valid range from 6 to 2000
nl_rinc R: Earnings: Netherlands
| Value 134158 | Frequency | |
|---|---|---|
| 350 | Less than 500 EUR per month | 46 |
| 750 | 500-1.000 EUR | 161 |
| 1200 | 1.000-1.400 EUR | 170 |
| 1600 | 1.400-1.800 EUR | 182 |
| 2000 | 1.800-2.200 EUR | 118 |
| 2400 | 2.200-2.600 EUR | 68 |
| 2800 | 2.600-3.000 EUR | 39 |
| 3500 | 3.000-4.000 EUR | 49 |
| 4500 | 4.000-5.000 EUR | 13 |
| 5500 | 5.000 EUR or more per month | 27 |
| 0 | No own income, not in paid work | 42 |
| 999990 | NAP, other countries | 47648 |
| 999999 | NA | 78 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 873 | 47768 |
Valid range from 350 to 5500
no_rinc R: Earnings: Norway
| Value 135157 | Frequency | |
|---|---|---|
| 1000 | 1.000 NOK per year | 2 |
| 2000 | 1 | |
| 4000 | 1 | |
| 8000 | 1 | |
| 10000 | 3 | |
| 11000 | 1 | |
| 15000 | 1 | |
| 16000 | 1 | |
| 18000 | 1 | |
| 20000 | 3 | |
| 24000 | 3 | |
| 25000 | 2 | |
| 26000 | 2 | |
| 30000 | 7 | |
| 35000 | 2 | |
| 40000 | 8 | |
| 45000 | 3 | |
| 50000 | 9 | |
| 52000 | 1 | |
| 57000 | 1 | |
| 62000 | 1 | |
| 65000 | 1 | |
| 69000 | 1 | |
| 70000 | 9 | |
| 75000 | 1 | |
| 80000 | 11 | |
| 85000 | 2 | |
| 89000 | 1 | |
| 90000 | 7 | |
| 95000 | 4 | |
| 96000 | 3 | |
| 98000 | 1 | |
| 99000 | 2 | |
| 100000 | 36 | |
| 102000 | 1 | |
| 107000 | 1 | |
| 108000 | 2 | |
| 110000 | 8 | |
| 111000 | 1 | |
| 112000 | 2 | |
| 113000 | 1 | |
| 115000 | 5 | |
| 118000 | 1 | |
| 120000 | 23 | |
| 121000 | 1 | |
| 122000 | 2 | |
| 124000 | 1 | |
| 125000 | 1 | |
| 128000 | 1 | |
| 130000 | 6 | |
| 132000 | 1 | |
| 133000 | 1 | |
| 135000 | 1 | |
| 136000 | 1 | |
| 137000 | 1 | |
| 139000 | 1 | |
| 140000 | 11 | |
| 141000 | 1 | |
| 145000 | 2 | |
| 148000 | 1 | |
| 150000 | 35 | |
| 152000 | 1 | |
| 153000 | 1 | |
| 154000 | 1 | |
| 156000 | 1 | |
| 158000 | 2 | |
| 160000 | 10 | |
| 161000 | 1 | |
| 162000 | 1 | |
| 163000 | 3 | |
| 165000 | 1 | |
| 167000 | 1 | |
| 170000 | 18 | |
| 171000 | 1 | |
| 172000 | 1 | |
| 173000 | 1 | |
| 175000 | 3 | |
| 180000 | 13 | |
| 182000 | 1 | |
| 183000 | 2 | |
| 184000 | 2 | |
| 185000 | 2 | |
| 187000 | 1 | |
| 188000 | 1 | |
| 190000 | 5 | |
| 192000 | 3 | |
| 200000 | 55 | |
| 201000 | 1 | |
| 202000 | 2 | |
| 204000 | 1 | |
| 205000 | 1 | |
| 209000 | 1 | |
| 210000 | 8 | |
| 216000 | 2 | |
| 218000 | 1 | |
| 220000 | 11 | |
| 222000 | 1 | |
| 223000 | 1 | |
| 225000 | 2 | |
| 228000 | 1 | |
| 229000 | 1 | |
| 230000 | 19 | |
| 232000 | 1 | |
| 233000 | 1 | |
| 235000 | 1 | |
| 240000 | 22 | |
| 244000 | 1 | |
| 245000 | 3 | |
| 246000 | 1 | |
| 247000 | 1 | |
| 248000 | 1 | |
| 250000 | 49 | |
| 251000 | 1 | |
| 252000 | 3 | |
| 255000 | 3 | |
| 256000 | 1 | |
| 258000 | 1 | |
| 259000 | 1 | |
| 260000 | 22 | |
| 264000 | 1 | |
| 265000 | 1 | |
| 266000 | 3 | |
| 267000 | 1 | |
| 268000 | 2 | |
| 269000 | 2 | |
| 270000 | 20 | |
| 271000 | 1 | |
| 272000 | 1 | |
| 273000 | 1 | |
| 274000 | 2 | |
| 275000 | 6 | |
| 276000 | 1 | |
| 280000 | 25 | |
| 281000 | 1 | |
| 282000 | 1 | |
| 290000 | 6 | |
| 295000 | 2 | |
| 296000 | 1 | |
| 298000 | 1 | |
| 299000 | 1 | |
| 300000 | 97 | |
| 301000 | 1 | |
| 302000 | 1 | |
| 305000 | 2 | |
| 306000 | 3 | |
| 309000 | 1 | |
| 310000 | 4 | |
| 314000 | 1 | |
| 315000 | 5 | |
| 317000 | 1 | |
| 320000 | 26 | |
| 325000 | 1 | |
| 327000 | 1 | |
| 330000 | 14 | |
| 332000 | 1 | |
| 333000 | 1 | |
| 334000 | 1 | |
| 337000 | 1 | |
| 338000 | 1 | |
| 340000 | 13 | |
| 344000 | 1 | |
| 345000 | 1 | |
| 350000 | 64 | |
| 353000 | 1 | |
| 354000 | 1 | |
| 356000 | 1 | |
| 357000 | 1 | |
| 359000 | 1 | |
| 360000 | 16 | |
| 362000 | 2 | |
| 369000 | 1 | |
| 370000 | 17 | |
| 371000 | 1 | |
| 375000 | 2 | |
| 379000 | 1 | |
| 380000 | 16 | |
| 385000 | 2 | |
| 388000 | 1 | |
| 390000 | 8 | |
| 393000 | 1 | |
| 394000 | 1 | |
| 395000 | 2 | |
| 397000 | 1 | |
| 400000 | 61 | |
| 405000 | 2 | |
| 410000 | 4 | |
| 416000 | 1 | |
| 417000 | 1 | |
| 419000 | 1 | |
| 420000 | 12 | |
| 425000 | 1 | |
| 430000 | 11 | |
| 435000 | 2 | |
| 440000 | 6 | |
| 444000 | 1 | |
| 446000 | 1 | |
| 447000 | 1 | |
| 450000 | 23 | |
| 460000 | 6 | |
| 470000 | 3 | |
| 480000 | 5 | |
| 500000 | 26 | |
| 517000 | 1 | |
| 525000 | 1 | |
| 527000 | 1 | |
| 530000 | 3 | |
| 550000 | 12 | |
| 560000 | 1 | |
| 575000 | 1 | |
| 595000 | 2 | |
| 600000 | 21 | |
| 604000 | 1 | |
| 610000 | 1 | |
| 614000 | 1 | |
| 630000 | 1 | |
| 636000 | 1 | |
| 640000 | 1 | |
| 650000 | 9 | |
| 680000 | 3 | |
| 700000 | 14 | |
| 715000 | 1 | |
| 730000 | 1 | |
| 750000 | 2 | |
| 790000 | 1 | |
| 800000 | 7 | |
| 850000 | 2 | |
| 900000 | 1 | |
| 950000 | 1 | |
| 1000000 | 5 | |
| 1100000 | 1 | |
| 1110000 | 1 | |
| 1120000 | 1 | |
| 1200000 | 2 | |
| 1250000 | 1 | |
| 1300000 | 1 | |
| 1400000 | 1 | |
| 1800000 | 2 | |
| 2000000 | 2 | |
| 2200000 | 1 | |
| 2400000 | 1 | |
| 2750000 | 1 | |
| 3000000 | 1 | |
| 3430000 | 1 | |
| 3500000 | 1 | |
| 3600000 | 1 | |
| 4200000 | 1 | |
| 4800000 | 1 | |
| 5000000 | 5.000.000 NOK per year | 1 |
| 9999990 | NAP, other countries | 47311 |
| 9999999 | NA | 101 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1229 | 47412 |
Valid range from 1000 to 5000000
nz_rinc R: Earnings: New Zealand
| Value 136156 | Frequency | |
|---|---|---|
| 5000 | 10.000 NZD or less per year | 163 |
| 12500 | 10.001 -15.000 NZD | 135 |
| 17500 | 15.001-20.000 NZD | 113 |
| 22500 | 20.001-25.000 NZD | 101 |
| 27500 | 25.001-30.000 NZD | 90 |
| 35000 | 30.001-40.000 NZD | 168 |
| 45000 | 40.001-50.000 NZD | 120 |
| 60000 | 50.001-70.000 NZD | 180 |
| 85000 | 70.001-100.000 NZD | 80 |
| 120000 | 100.001 NZD or more per year | 66 |
| 999990 | NAP, other countries | 47378 |
| 999999 | NA | 47 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1216 | 47425 |
Valid range from 5000 to 120000
ph_rinc R: Earnings: Philippines
| Value 137155 | Frequency | |
|---|---|---|
| 50 | 50 PHP per month | 1 |
| 100 | 1 | |
| 200 | 5 | |
| 400 | 1 | |
| 500 | 15 | |
| 600 | 3 | |
| 700 | 2 | |
| 750 | 1 | |
| 800 | 8 | |
| 900 | 3 | |
| 1000 | 41 | |
| 1200 | 7 | |
| 1300 | 2 | |
| 1400 | 2 | |
| 1500 | 28 | |
| 1600 | 2 | |
| 1700 | 1 | |
| 1800 | 3 | |
| 2000 | 72 | |
| 2100 | 1 | |
| 2260 | 1 | |
| 2400 | 7 | |
| 2500 | 14 | |
| 2600 | 1 | |
| 2800 | 2 | |
| 2900 | 3 | |
| 2904 | 1 | |
| 3000 | 81 | |
| 3500 | 15 | |
| 3600 | 3 | |
| 3700 | 2 | |
| 3750 | 1 | |
| 3800 | 1 | |
| 3900 | 1 | |
| 4000 | 36 | |
| 4500 | 14 | |
| 4700 | 2 | |
| 4760 | 1 | |
| 4800 | 2 | |
| 5000 | 58 | |
| 5500 | 1 | |
| 5600 | 1 | |
| 5800 | 1 | |
| 6000 | 48 | |
| 6200 | 1 | |
| 6400 | 1 | |
| 6500 | 1 | |
| 6600 | 1 | |
| 6700 | 1 | |
| 6720 | 1 | |
| 7000 | 22 | |
| 7200 | 1 | |
| 7500 | 7 | |
| 7800 | 1 | |
| 8000 | 29 | |
| 8400 | 4 | |
| 8500 | 1 | |
| 9000 | 6 | |
| 9500 | 2 | |
| 10000 | 43 | |
| 10500 | 1 | |
| 10700 | 1 | |
| 11000 | 2 | |
| 11700 | 1 | |
| 12000 | 12 | |
| 12246 | 1 | |
| 12500 | 1 | |
| 12800 | 1 | |
| 13000 | 3 | |
| 13200 | 1 | |
| 14000 | 2 | |
| 14800 | 1 | |
| 15000 | 17 | |
| 16000 | 2 | |
| 17000 | 1 | |
| 18000 | 1 | |
| 20000 | 9 | |
| 22000 | 1 | |
| 25000 | 1 | |
| 30000 | 2 | |
| 40000 | 2 | |
| 50000 | 50.000 PHP per month | 1 |
| 0 | No own income, not in paid work | 461 |
| 999990 | NAP, other countries | 47441 |
| 999997 | Refused | 29 |
| 999998 | DK | 28 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 682 | 47959 |
Valid range from 50 to 50000
pl_rinc R: Earnings: Poland
| Value 138154 | Frequency | |
|---|---|---|
| 200 | 200 PLN per month | 1 |
| 252 | 1 | |
| 300 | 10 | |
| 320 | 1 | |
| 400 | 8 | |
| 430 | 2 | |
| 470 | 1 | |
| 500 | 15 | |
| 550 | 2 | |
| 560 | 1 | |
| 580 | 1 | |
| 600 | 4 | |
| 649 | 1 | |
| 660 | 1 | |
| 675 | 1 | |
| 700 | 17 | |
| 720 | 1 | |
| 730 | 1 | |
| 750 | 1 | |
| 760 | 1 | |
| 780 | 1 | |
| 795 | 1 | |
| 800 | 19 | |
| 816 | 1 | |
| 830 | 1 | |
| 840 | 1 | |
| 845 | 2 | |
| 850 | 6 | |
| 890 | 1 | |
| 900 | 16 | |
| 920 | 2 | |
| 925 | 1 | |
| 950 | 1 | |
| 1000 | 57 | |
| 1050 | 1 | |
| 1080 | 1 | |
| 1100 | 14 | |
| 1200 | 43 | |
| 1260 | 1 | |
| 1300 | 19 | |
| 1350 | 1 | |
| 1400 | 17 | |
| 1450 | 1 | |
| 1500 | 24 | |
| 1600 | 14 | |
| 1650 | 1 | |
| 1700 | 11 | |
| 1750 | 1 | |
| 1800 | 21 | |
| 1900 | 1 | |
| 2000 | 62 | |
| 2200 | 8 | |
| 2300 | 4 | |
| 2400 | 3 | |
| 2500 | 21 | |
| 2600 | 1 | |
| 2700 | 1 | |
| 2800 | 3 | |
| 2900 | 1 | |
| 3000 | 16 | |
| 3500 | 10 | |
| 3600 | 1 | |
| 4000 | 10 | |
| 4250 | 1 | |
| 4500 | 3 | |
| 5000 | 7 | |
| 5500 | 2 | |
| 6000 | 2 | |
| 7000 | 1 | |
| 8000 | 1 | |
| 10000 | 10.000 PLN per month | 3 |
| 0 | Not working | 710 |
| 999990 | NAP, other countries | 47348 |
| 999998 | DK | 25 |
| 999999 | NA,refused | 45 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 513 | 48128 |
Valid range from 200 to 10000
pt_rinc R: Earnings: Portugal
| Value 139153 | Frequency | |
|---|---|---|
| 175 | Less than 350 EUR per month | 313 |
| 425 | 351-500 EUR | 322 |
| 650 | 501-800 EUR | 301 |
| 1150 | 801-1.500 EUR | 144 |
| 2000 | 1.501-2.500 EUR | 48 |
| 3000 | More than 2.500 EUR per month | 11 |
| 0 | No income, never had a job | 130 |
| 999990 | NAP, other countries | 46804 |
| 999997 | Refused | 460 |
| 999998 | DK | 108 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1139 | 47502 |
Valid range from 175 to 3000
ru_rinc R: Earnings: Russia
| Value 140152 | Frequency | |
|---|---|---|
| 530 | 530 RUB | 1 |
| 1000 | 7 | |
| 1100 | 3 | |
| 1200 | 4 | |
| 1300 | 1 | |
| 1392 | 1 | |
| 1400 | 2 | |
| 1500 | 14 | |
| 1600 | 1 | |
| 1800 | 3 | |
| 1900 | 3 | |
| 2000 | 29 | |
| 2100 | 3 | |
| 2400 | 2 | |
| 2408 | 1 | |
| 2500 | 22 | |
| 2600 | 4 | |
| 2700 | 4 | |
| 2800 | 2 | |
| 3000 | 71 | |
| 3100 | 2 | |
| 3200 | 3 | |
| 3250 | 1 | |
| 3285 | 1 | |
| 3300 | 3 | |
| 3400 | 1 | |
| 3450 | 1 | |
| 3500 | 33 | |
| 3600 | 2 | |
| 3700 | 2 | |
| 3730 | 1 | |
| 3800 | 2 | |
| 3826 | 1 | |
| 3900 | 1 | |
| 3965 | 1 | |
| 4000 | 54 | |
| 4100 | 3 | |
| 4200 | 5 | |
| 4300 | 1 | |
| 4400 | 1 | |
| 4500 | 21 | |
| 4600 | 2 | |
| 4630 | 1 | |
| 4700 | 3 | |
| 4800 | 2 | |
| 5000 | 76 | |
| 5100 | 3 | |
| 5200 | 2 | |
| 5300 | 2 | |
| 5400 | 1 | |
| 5500 | 15 | |
| 5600 | 2 | |
| 6000 | 80 | |
| 6200 | 2 | |
| 6500 | 13 | |
| 6800 | 1 | |
| 6900 | 1 | |
| 7000 | 53 | |
| 7300 | 1 | |
| 7356 | 1 | |
| 7500 | 14 | |
| 7600 | 2 | |
| 7800 | 4 | |
| 8000 | 86 | |
| 8100 | 1 | |
| 8129 | 1 | |
| 8200 | 1 | |
| 8500 | 4 | |
| 8700 | 1 | |
| 8800 | 1 | |
| 8900 | 1 | |
| 9000 | 31 | |
| 9100 | 1 | |
| 9380 | 1 | |
| 9500 | 3 | |
| 9800 | 1 | |
| 10000 | 100 | |
| 10200 | 1 | |
| 10300 | 1 | |
| 10500 | 1 | |
| 10700 | 2 | |
| 11000 | 19 | |
| 11600 | 2 | |
| 12000 | 70 | |
| 12500 | 3 | |
| 12700 | 1 | |
| 13000 | 19 | |
| 13200 | 1 | |
| 13450 | 1 | |
| 13500 | 2 | |
| 14000 | 10 | |
| 14500 | 1 | |
| 15000 | 56 | |
| 15500 | 1 | |
| 16000 | 14 | |
| 17000 | 3 | |
| 17850 | 1 | |
| 18000 | 20 | |
| 19000 | 2 | |
| 19480 | 1 | |
| 19500 | 1 | |
| 20000 | 25 | |
| 20380 | 1 | |
| 21000 | 7 | |
| 22000 | 3 | |
| 23000 | 3 | |
| 23100 | 1 | |
| 24000 | 1 | |
| 25000 | 16 | |
| 26000 | 6 | |
| 27000 | 2 | |
| 28000 | 1 | |
| 29820 | 1 | |
| 30000 | 16 | |
| 32000 | 1 | |
| 35000 | 2 | |
| 36000 | 1 | |
| 40000 | 6 | |
| 45000 | 1 | |
| 47000 | 2 | |
| 50000 | 3 | |
| 55000 | 1 | |
| 60000 | 1 | |
| 80000 | 4 | |
| 300000 | 300.000 RUB | 1 |
| 0 | Not in labour force | 1084 |
| 999990 | NAP, other countries | 46234 |
| 999998 | DK | 96 |
| 999999 | NA | 56 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1171 | 47470 |
Valid range from 530 to 300000
se_rinc R: Earnings: Sweden
| Value 141151 | Frequency | |
|---|---|---|
| 0 | No own income | 22 |
| 1000 | 1.000 SEK per month | 7 |
| 2000 | 2 | |
| 3000 | 5 | |
| 4000 | 3 | |
| 5000 | 10 | |
| 6000 | 8 | |
| 7000 | 27 | |
| 8000 | 23 | |
| 9000 | 23 | |
| 10000 | 47 | |
| 11000 | 12 | |
| 12000 | 27 | |
| 13000 | 22 | |
| 14000 | 31 | |
| 15000 | 45 | |
| 16000 | 36 | |
| 17000 | 41 | |
| 18000 | 76 | |
| 19000 | 46 | |
| 20000 | 73 | |
| 21000 | 39 | |
| 22000 | 50 | |
| 23000 | 38 | |
| 24000 | 33 | |
| 25000 | 58 | |
| 26000 | 27 | |
| 27000 | 21 | |
| 28000 | 22 | |
| 29000 | 6 | |
| 30000 | 34 | |
| 31000 | 5 | |
| 32000 | 4 | |
| 33000 | 10 | |
| 34000 | 10 | |
| 35000 | 18 | |
| 36000 | 4 | |
| 37000 | 5 | |
| 38000 | 7 | |
| 39000 | 3 | |
| 40000 | 19 | |
| 41000 | 3 | |
| 42000 | 2 | |
| 43000 | 2 | |
| 44000 | 1 | |
| 45000 | 9 | |
| 46000 | 1 | |
| 47000 | 2 | |
| 48000 | 2 | |
| 50000 | 7 | |
| 51000 | 1 | |
| 52000 | 1 | |
| 55000 | 4 | |
| 56000 | 1 | |
| 60000 | 4 | |
| 65000 | 1 | |
| 75000 | 3 | |
| 80000 | 1 | |
| 83000 | 1 | |
| 85000 | 1 | |
| 90000 | 2 | |
| 95000 | 2 | |
| 100000 | 100.000 SEK per month | 1 |
| 999990 | NAP, other countries | 47447 |
| 999999 | NA | 143 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1051 | 47590 |
Valid range from 0 to 100000
si_rinc R: Earnings: Slovenia
| Value 142150 | Frequency | |
|---|---|---|
| 10000 | 10.000 SIT per month | 1 |
| 27000 | 1 | |
| 30000 | 2 | |
| 31000 | 1 | |
| 32000 | 2 | |
| 34000 | 1 | |
| 35000 | 4 | |
| 36000 | 2 | |
| 37000 | 2 | |
| 38000 | 1 | |
| 39000 | 2 | |
| 40000 | 15 | |
| 41000 | 1 | |
| 43000 | 3 | |
| 45000 | 6 | |
| 46000 | 1 | |
| 48000 | 6 | |
| 49000 | 2 | |
| 50000 | 15 | |
| 53000 | 1 | |
| 56000 | 1 | |
| 58000 | 1 | |
| 60000 | 7 | |
| 62000 | 1 | |
| 64000 | 1 | |
| 67000 | 2 | |
| 70000 | 8 | |
| 74000 | 1 | |
| 75000 | 2 | |
| 77000 | 1 | |
| 78000 | 2 | |
| 80000 | 21 | |
| 82000 | 3 | |
| 83000 | 4 | |
| 84000 | 4 | |
| 85000 | 6 | |
| 86000 | 1 | |
| 87000 | 3 | |
| 88000 | 1 | |
| 90000 | 14 | |
| 92000 | 1 | |
| 93000 | 2 | |
| 94000 | 4 | |
| 95000 | 5 | |
| 96000 | 1 | |
| 98000 | 3 | |
| 100000 | 34 | |
| 101000 | 1 | |
| 102000 | 2 | |
| 104000 | 1 | |
| 105000 | 2 | |
| 106000 | 2 | |
| 107000 | 1 | |
| 108000 | 3 | |
| 110000 | 14 | |
| 111000 | 1 | |
| 114000 | 2 | |
| 115000 | 2 | |
| 117000 | 1 | |
| 118000 | 3 | |
| 119000 | 2 | |
| 120000 | 26 | |
| 122000 | 1 | |
| 123000 | 1 | |
| 125000 | 3 | |
| 128000 | 1 | |
| 130000 | 27 | |
| 132000 | 1 | |
| 135000 | 4 | |
| 136000 | 2 | |
| 137000 | 1 | |
| 139000 | 1 | |
| 140000 | 19 | |
| 142000 | 1 | |
| 146000 | 1 | |
| 147000 | 1 | |
| 150000 | 55 | |
| 152000 | 2 | |
| 153000 | 1 | |
| 155000 | 2 | |
| 160000 | 17 | |
| 162000 | 1 | |
| 170000 | 11 | |
| 175000 | 1 | |
| 178000 | 2 | |
| 180000 | 22 | |
| 187000 | 1 | |
| 188000 | 1 | |
| 190000 | 3 | |
| 192000 | 2 | |
| 195000 | 1 | |
| 200000 | 28 | |
| 205000 | 1 | |
| 210000 | 5 | |
| 215000 | 2 | |
| 217000 | 1 | |
| 220000 | 7 | |
| 230000 | 10 | |
| 240000 | 6 | |
| 250000 | 21 | |
| 260000 | 2 | |
| 262000 | 1 | |
| 270000 | 1 | |
| 280000 | 4 | |
| 290000 | 1 | |
| 300000 | 21 | |
| 310000 | 2 | |
| 320000 | 3 | |
| 330000 | 5 | |
| 340000 | 1 | |
| 350000 | 8 | |
| 380000 | 1 | |
| 400000 | 4 | |
| 412000 | 1 | |
| 420000 | 1 | |
| 450000 | 3 | |
| 480000 | 1 | |
| 500000 | 3 | |
| 631000 | 631.000 SIT per month | 1 |
| 0 | No own income, not in paid work | 92 |
| 999990 | NAP, other countries | 47638 |
| 999998 | DK | 38 |
| 999999 | NA | 276 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 597 | 48044 |
Valid range from 10000 to 631000
tw_rinc R: Earnings: Taiwan
| Value 143149 | Frequency | |
|---|---|---|
| 5000 | Less than 10.000 TWD per month | 376 |
| 15000 | 10.001-20.000 TWD | 283 |
| 25000 | 20.001-30.000 TWD | 305 |
| 35000 | 30.001-40.000 TWD | 237 |
| 45000 | 40.001-50.000 TWD | 183 |
| 55000 | 50.001-60.000 TWD | 108 |
| 65000 | 60.001-70.000 TWD | 62 |
| 75000 | 70.001-80.000 TWD | 39 |
| 85000 | 80.001-90.000 TWD | 21 |
| 95000 | 90.001-100.000 TWD | 21 |
| 105000 | 100.001-110.000 TWD | 10 |
| 115000 | 110.001-120.000 TWD | 4 |
| 125000 | 120.001-130.000 TWD | 3 |
| 135000 | 130.001-140.000 TWD | 2 |
| 145000 | 140.001-150.000 TWD | 3 |
| 155000 | 150.001-160.000 TWD | 8 |
| 165000 | 160.001-170.000 TWD | 2 |
| 175000 | 170.001-180.000 TWD | 0 |
| 185000 | 180.001-190.000 TWD | 0 |
| 195000 | 190.001-200.000 TWD | 4 |
| 250000 | 200.001-300.000 TWD | 6 |
| 350000 | More than 300.000 TWD per month | 2 |
| 0 | No own income, not in paid work | 274 |
| 999990 | NAP, other countries | 46669 |
| 999997 | Refused | 17 |
| 999998 | DK | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1679 | 46962 |
Valid range from 5000 to 350000
us_rinc R: Earnings: USA
| Value 144148 | Frequency | |
|---|---|---|
| 500 | Under 1.000 USD per year | 18 |
| 2000 | 1.000-2.999 USD | 22 |
| 3500 | 3.000-3.999 USD | 16 |
| 4500 | 4.000-4.999 USD | 20 |
| 5500 | 5.000-5.999 USD | 12 |
| 6500 | 6.000-6.999 USD | 18 |
| 7500 | 7.000-7.999 USD | 8 |
| 9000 | 8.000-9.999 USD | 17 |
| 11250 | 10.000-12499 USD | 35 |
| 13750 | 12500-14.999 USD | 31 |
| 16750 | 15.000-17.499 USD | 46 |
| 18750 | 17.500-19.999 USD | 41 |
| 21750 | 20.000-22.499 USD | 56 |
| 23750 | 22.500-24.999 USD | 39 |
| 27500 | 25.000-29.999 USD | 77 |
| 32500 | 30.000-34.999 USD | 74 |
| 37500 | 35.000-39.999 USD | 66 |
| 45000 | 40.000-49.999 USD | 100 |
| 55000 | 50.000-59.999 USD | 70 |
| 67500 | 60.000-74.999 USD | 60 |
| 82500 | 75.000-89.999 USD | 37 |
| 100000 | 90.000-109.999 USD | 18 |
| 120000 | 110.000-129.999 USD | 16 |
| 140000 | 130.000-149.999 USD | 9 |
| 160000 | 150.000 USD or over per year | 26 |
| 0 | No income, not in paid work | 439 |
| 999990 | NAP, other countries | 47123 |
| 999997 | Refused | 120 |
| 999998 | DK | 27 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 932 | 47709 |
Valid range from 500 to 160000
uy_rinc R: Earnings: Uruguay
| Value 145147 | Frequency | |
|---|---|---|
| 2000 | Less than 3.000 UYP per month | 322 |
| 4500 | 3.000-5.999 UYP | 209 |
| 6700 | 6.000-7.499 UYP | 85 |
| 8000 | 7.500-9.499 UYP | 66 |
| 10500 | 9.500-11.499 UYP | 39 |
| 12500 | 11.500-13.499 UYP | 32 |
| 15000 | 13.500-16.499 UYP | 32 |
| 18500 | 16.500-20.499 UYP | 33 |
| 23500 | 20.500-26.499 UYP | 20 |
| 32750 | 26.500-39.999 UYP | 16 |
| 50000 | 40.000-59.999 UYP | 3 |
| 70000 | 60.000-79.999 UYP | 2 |
| 90000 | 80.000 UYP and more per month | 3 |
| 0 | No own income, not in paid work | 121 |
| 999990 | NAP, other countries | 47610 |
| 999997 | Refused | 48 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 862 | 47779 |
Valid range from 2000 to 90000
ve_rinc R: Earnings: Venezuela
| Value 146146 | Frequency | |
|---|---|---|
| 10000 | 10.000 VEB | 1 |
| 24000 | 1 | |
| 40000 | 1 | |
| 50000 | 1 | |
| 51100 | 1 | |
| 60000 | 1 | |
| 65000 | 1 | |
| 80000 | 2 | |
| 100000 | 10 | |
| 120000 | 5 | |
| 135000 | 1 | |
| 140000 | 2 | |
| 150000 | 3 | |
| 160000 | 1 | |
| 180000 | 3 | |
| 185000 | 1 | |
| 200000 | 22 | |
| 210000 | 1 | |
| 220000 | 1 | |
| 230000 | 1 | |
| 237000 | 1 | |
| 240000 | 3 | |
| 250000 | 7 | |
| 280000 | 1 | |
| 290000 | 2 | |
| 300000 | 22 | |
| 341000 | 1 | |
| 350000 | 5 | |
| 365000 | 1 | |
| 380000 | 1 | |
| 384000 | 1 | |
| 400000 | 22 | |
| 401000 | 1 | |
| 405000 | 1 | |
| 410000 | 1 | |
| 415000 | 1 | |
| 440000 | 2 | |
| 450000 | 6 | |
| 460000 | 1 | |
| 466000 | 1 | |
| 468000 | 1 | |
| 480000 | 6 | |
| 485000 | 1 | |
| 500000 | 37 | |
| 510000 | 1 | |
| 512000 | 69 | |
| 513000 | 1 | |
| 514000 | 1 | |
| 517000 | 1 | |
| 520000 | 10 | |
| 530000 | 3 | |
| 535000 | 1 | |
| 536000 | 1 | |
| 540000 | 2 | |
| 550000 | 2 | |
| 560000 | 2 | |
| 565000 | 1 | |
| 590000 | 1 | |
| 600000 | 40 | |
| 605000 | 1 | |
| 630000 | 1 | |
| 650000 | 5 | |
| 670000 | 2 | |
| 676000 | 1 | |
| 680000 | 2 | |
| 700000 | 25 | |
| 709000 | 1 | |
| 720000 | 2 | |
| 730000 | 1 | |
| 750000 | 1 | |
| 751000 | 1 | |
| 760000 | 2 | |
| 765000 | 1 | |
| 800000 | 58 | |
| 802000 | 1 | |
| 840000 | 1 | |
| 850000 | 3 | |
| 860000 | 1 | |
| 880000 | 1 | |
| 900000 | 15 | |
| 930000 | 1 | |
| 950000 | 1 | |
| 960000 | 1 | |
| 1000000 | 32 | |
| 1024000 | 2 | |
| 1050000 | 1 | |
| 1080000 | 1 | |
| 1100000 | 3 | |
| 1120000 | 1 | |
| 1130000 | 1 | |
| 1170000 | 1 | |
| 1200000 | 23 | |
| 1300000 | 5 | |
| 1350000 | 1 | |
| 1400000 | 5 | |
| 1500000 | 24 | |
| 1576000 | 1 | |
| 1600000 | 3 | |
| 1800000 | 2 | |
| 2000000 | 14 | |
| 2008000 | 1 | |
| 2120000 | 1 | |
| 2150000 | 1 | |
| 2300000 | 3 | |
| 2500000 | 2 | |
| 3000000 | 5 | |
| 3500000 | 1 | |
| 4000000 | 3 | |
| 4800000 | 1 | |
| 5000000 | 3 | |
| 5160000 | 1 | |
| 6000000 | 1 | |
| 8000000 | 2 | |
| 10000000 | 1 | |
| 20000000 | 20.000.000 VEB | 1 |
| 0 | Not in labour force | 573 |
| 99999990 | NAP, other countries | 47441 |
| 99999997 | Refused | 2 |
| 99999998 | DK | 10 |
| 99999999 | NA | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 598 | 48043 |
Valid range from 10000 to 20000000
za_rinc R: Earnings: South Africa
| Value 147145 | Frequency | |
|---|---|---|
| 250 | 500 ZAR per month and less | 303 |
| 625 | 501 ? 750 ZAR | 197 |
| 875 | 751 ? 1 000 ZAR | 470 |
| 1250 | 1.001 - 1.500 ZAR | 150 |
| 1750 | 1.501 ? 2.000 ZAR | 112 |
| 2500 | 2.001 ? 3.000 ZAR | 133 |
| 4000 | 3.001 ? 5.000 ZAR | 106 |
| 6250 | 5.001 ? 7.500 ZAR | 90 |
| 8750 | 7.501 ? 10.000 ZAR | 52 |
| 12500 | 10.001 ? 15.000 ZAR | 33 |
| 17500 | 15.001 ? 20.000 ZAR | 10 |
| 25000 | 20.001 ? 30.000 ZAR | 7 |
| 35000 | More than 30.000 ZAR per month | 8 |
| 0 | No own income, not in paid work | 934 |
| 999990 | NAP, other countries | 45702 |
| 999997 | Refused | 253 |
| 999998 | DK | 48 |
| 999999 | NA | 33 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1671 | 46970 |
Valid range from 250 to 35000
au_inc Family income: Australia
| Value 148144 | Frequency | |
|---|---|---|
| 0 | No income | 31 |
| 5200 | 1-10.399 AUD per year | 80 |
| 13000 | 10.400-15.599 AUD | 163 |
| 18200 | 15.600-20.799 AUD | 88 |
| 23400 | 20.800-25.999 AUD | 155 |
| 28600 | 26.000-31.199 AUD | 125 |
| 33800 | 31.200-36.399 AUD | 106 |
| 39000 | 36.400-41.599 AUD | 122 |
| 46800 | 41.600-51.999 AUD | 197 |
| 65000 | 52.000-77.999 AUD | 440 |
| 91000 | 78.000-103.999 AUD | 356 |
| 104000 | 104.000 AUD or more per year | 572 |
| 999990 | NAP, other countries | 45860 |
| 999999 | NA | 346 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2435 | 46206 |
Valid range from 0 to 104000
ca_inc Family income: Canada
| Value 149143 | Frequency | |
|---|---|---|
| 10000 | Under 15.000 CAD per year | 49 |
| 20000 | 15.000-24.999 CAD | 82 |
| 30000 | 25.000-34.999 CAD | 103 |
| 40000 | 35.000-44.999 CAD | 81 |
| 50000 | 45.000-54.999 CAD | 88 |
| 60000 | 55.000-64.999 CAD | 70 |
| 70000 | 65.000-74.999 CAD | 73 |
| 80000 | 75.000-84.999 CAD | 70 |
| 90000 | 85.000-94.999 CAD | 64 |
| 100000 | 95.000 CAD and more per year | 158 |
| 999990 | NAP, other countries | 47708 |
| 999997 | Refused | 1 |
| 999999 | NA | 94 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 838 | 47803 |
Valid range from 10000 to 100000
ch_inc Family income: Switzerland
| Value 150142 | Frequency | |
|---|---|---|
| 0 | No income | 2 |
| 200 | 200 CHF per month | 1 |
| 600 | 2 | |
| 904 | 1 | |
| 1000 | 9 | |
| 1200 | 1 | |
| 1300 | 1 | |
| 1400 | 3 | |
| 1423 | 1 | |
| 1600 | 1 | |
| 1667 | 1 | |
| 1700 | 1 | |
| 1800 | 3 | |
| 1900 | 3 | |
| 2000 | 8 | |
| 2100 | 3 | |
| 2150 | 2 | |
| 2200 | 5 | |
| 2300 | 2 | |
| 2400 | 2 | |
| 2455 | 1 | |
| 2500 | 14 | |
| 2600 | 2 | |
| 2700 | 3 | |
| 2750 | 1 | |
| 2800 | 4 | |
| 2820 | 1 | |
| 2860 | 1 | |
| 2900 | 1 | |
| 3000 | 24 | |
| 3050 | 1 | |
| 3100 | 4 | |
| 3150 | 1 | |
| 3151 | 1 | |
| 3180 | 1 | |
| 3200 | 3 | |
| 3244 | 1 | |
| 3300 | 2 | |
| 3316 | 1 | |
| 3400 | 6 | |
| 3500 | 21 | |
| 3600 | 2 | |
| 3700 | 5 | |
| 3750 | 1 | |
| 3787 | 1 | |
| 3800 | 7 | |
| 3850 | 1 | |
| 3900 | 2 | |
| 3913 | 1 | |
| 4000 | 22 | |
| 4100 | 4 | |
| 4200 | 7 | |
| 4300 | 6 | |
| 4400 | 3 | |
| 4457 | 1 | |
| 4500 | 30 | |
| 4600 | 4 | |
| 4680 | 1 | |
| 4700 | 3 | |
| 4800 | 8 | |
| 4900 | 2 | |
| 5000 | 44 | |
| 5200 | 9 | |
| 5300 | 1 | |
| 5400 | 7 | |
| 5500 | 31 | |
| 5503 | 1 | |
| 5522 | 1 | |
| 5600 | 8 | |
| 5613 | 1 | |
| 5700 | 4 | |
| 5779 | 1 | |
| 5800 | 7 | |
| 5900 | 2 | |
| 5960 | 1 | |
| 6000 | 36 | |
| 6200 | 6 | |
| 6300 | 4 | |
| 6400 | 2 | |
| 6500 | 25 | |
| 6700 | 3 | |
| 6800 | 7 | |
| 6900 | 1 | |
| 7000 | 31 | |
| 7200 | 1 | |
| 7300 | 1 | |
| 7400 | 1 | |
| 7500 | 34 | |
| 7600 | 3 | |
| 7700 | 2 | |
| 7800 | 4 | |
| 8000 | 31 | |
| 8200 | 1 | |
| 8300 | 4 | |
| 8500 | 11 | |
| 8600 | 1 | |
| 8800 | 2 | |
| 8900 | 1 | |
| 9000 | 17 | |
| 9100 | 1 | |
| 9200 | 4 | |
| 9500 | 14 | |
| 9600 | 3 | |
| 9700 | 1 | |
| 9800 | 2 | |
| 10000 | 23 | |
| 10500 | 5 | |
| 10600 | 1 | |
| 10700 | 1 | |
| 10800 | 1 | |
| 11000 | 16 | |
| 11500 | 6 | |
| 11700 | 1 | |
| 11790 | 1 | |
| 12000 | 12 | |
| 12200 | 1 | |
| 12500 | 3 | |
| 13000 | 5 | |
| 13300 | 1 | |
| 13500 | 1 | |
| 13860 | 1 | |
| 14000 | 6 | |
| 14500 | 3 | |
| 15000 | 10 | |
| 15277 | 1 | |
| 15500 | 1 | |
| 16000 | 6 | |
| 17000 | 1 | |
| 18000 | 1 | |
| 19000 | 13 | |
| 20000 | 3 | |
| 21000 | 1 | |
| 25000 | 1 | |
| 30000 | 30.000 CHF per month | 1 |
| 999990 | NAP, other countries | 47638 |
| 999997 | Refused | 185 |
| 999998 | DK | 61 |
| 999999 | NA | 1 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 756 | 47885 |
Valid range from 0 to 30000
cl_inc Family income: Chile
| Value 151141 | Frequency | |
|---|---|---|
| 20000 | Less than 35.000 CLP per month | 39 |
| 45000 | 35.001-56.000 CLP | 48 |
| 66000 | 56.001-78.000 CLP | 83 |
| 90000 | 78.001- 101.000 CLP | 91 |
| 122000 | 101.001- 134.000 CLP | 150 |
| 155000 | 134.001- 179.000 CLP | 153 |
| 200000 | 179.001- 224.000 CLP | 129 |
| 250000 | 224.001- 291.000 CLP | 123 |
| 310000 | 291.001- 358.000 CLP | 108 |
| 400000 | 358.001- 448.000 CLP | 98 |
| 750000 | 448.001- 1.000.000 CLP | 123 |
| 1500000 | 1.000.001- 2.000.000 CLP | 37 |
| 2500000 | 2.000.001- 3.000.000 CLP | 21 |
| 3100000 | More than 3.000.000 CLP per month | 7 |
| 9999990 | NAP, other countries | 47136 |
| 9999998 | DK | 80 |
| 9999999 | NA | 215 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1210 | 47431 |
Valid range from 20000 to 3100000
cz_inc Family income: Czech Republic
| Value 152140 | Frequency | |
|---|---|---|
| 7000 | Less than 8.000 CZK per month | 48 |
| 9000 | 8.000-9.999 CZK | 100 |
| 11000 | 10.000-11.999 CZK | 46 |
| 13000 | 12.000-13.999 CZK | 47 |
| 15000 | 14.000-15.999 CZK | 94 |
| 17000 | 16.000-17.999 CZK | 84 |
| 19000 | 18.000-19.999 CZK | 70 |
| 21500 | 20.000-22.999 CZK | 90 |
| 24500 | 23.000-25.999 CZK | 80 |
| 28000 | 26.000-29.999 CZK | 83 |
| 32500 | 30.000-34.999 CZK | 57 |
| 37500 | 35.000-39.999 CZK | 38 |
| 45000 | 40.000-49.999 CZK | 33 |
| 55000 | 50.000-59.999 CZK | 10 |
| 67500 | 60.000-74.999 CZK | 7 |
| 82500 | 75.000-89.999 CZK | 2 |
| 97500 | 90.000 CZK and more per month | 1 |
| 999990 | NAP, other countries | 47440 |
| 999997 | Refused | 175 |
| 999998 | DK | 60 |
| 999999 | NA | 76 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 890 | 47751 |
Valid range from 7000 to 97500
de_inc Family income: Germany
| Value 153139 | Frequency | |
|---|---|---|
| 0 | No income | 8 |
| 20 | 20 EUR per month | 1 |
| 88 | 1 | |
| 100 | 1 | |
| 199 | 1 | |
| 200 | 1 | |
| 249 | 1 | |
| 300 | 1 | |
| 311 | 1 | |
| 331 | 1 | |
| 342 | 1 | |
| 345 | 5 | |
| 350 | 4 | |
| 355 | 1 | |
| 360 | 1 | |
| 380 | 1 | |
| 390 | 1 | |
| 400 | 4 | |
| 450 | 1 | |
| 455 | 1 | |
| 500 | 6 | |
| 520 | 3 | |
| 525 | 1 | |
| 530 | 1 | |
| 545 | 1 | |
| 550 | 1 | |
| 560 | 1 | |
| 562 | 1 | |
| 574 | 1 | |
| 580 | 1 | |
| 600 | 12 | |
| 601 | 1 | |
| 630 | 1 | |
| 636 | 1 | |
| 648 | 1 | |
| 650 | 3 | |
| 660 | 1 | |
| 663 | 1 | |
| 664 | 1 | |
| 670 | 1 | |
| 683 | 1 | |
| 687 | 5 | |
| 690 | 2 | |
| 700 | 12 | |
| 715 | 1 | |
| 740 | 2 | |
| 742 | 1 | |
| 750 | 6 | |
| 752 | 1 | |
| 760 | 1 | |
| 770 | 1 | |
| 780 | 3 | |
| 789 | 1 | |
| 799 | 1 | |
| 800 | 10 | |
| 812 | 9 | |
| 820 | 1 | |
| 830 | 1 | |
| 840 | 1 | |
| 850 | 5 | |
| 852 | 1 | |
| 864 | 1 | |
| 870 | 1 | |
| 890 | 1 | |
| 891 | 1 | |
| 900 | 20 | |
| 902 | 1 | |
| 910 | 1 | |
| 923 | 1 | |
| 935 | 1 | |
| 937 | 10 | |
| 940 | 2 | |
| 950 | 5 | |
| 960 | 4 | |
| 975 | 1 | |
| 980 | 1 | |
| 1000 | 25 | |
| 1020 | 1 | |
| 1021 | 1 | |
| 1027 | 1 | |
| 1050 | 4 | |
| 1062 | 10 | |
| 1084 | 1 | |
| 1085 | 1 | |
| 1100 | 24 | |
| 1125 | 1 | |
| 1140 | 1 | |
| 1150 | 4 | |
| 1187 | 13 | |
| 1194 | 1 | |
| 1200 | 40 | |
| 1230 | 2 | |
| 1240 | 1 | |
| 1250 | 9 | |
| 1290 | 1 | |
| 1300 | 21 | |
| 1312 | 11 | |
| 1340 | 2 | |
| 1345 | 1 | |
| 1350 | 4 | |
| 1375 | 1 | |
| 1400 | 38 | |
| 1420 | 1 | |
| 1437 | 19 | |
| 1450 | 11 | |
| 1460 | 1 | |
| 1500 | 48 | |
| 1505 | 1 | |
| 1520 | 1 | |
| 1521 | 1 | |
| 1550 | 6 | |
| 1589 | 1 | |
| 1600 | 29 | |
| 1625 | 19 | |
| 1636 | 1 | |
| 1650 | 4 | |
| 1680 | 2 | |
| 1690 | 1 | |
| 1700 | 35 | |
| 1720 | 1 | |
| 1750 | 9 | |
| 1775 | 1 | |
| 1780 | 2 | |
| 1800 | 29 | |
| 1814 | 1 | |
| 1820 | 1 | |
| 1840 | 1 | |
| 1850 | 3 | |
| 1875 | 18 | |
| 1890 | 1 | |
| 1900 | 20 | |
| 1950 | 3 | |
| 1960 | 1 | |
| 1983 | 1 | |
| 1990 | 1 | |
| 2000 | 75 | |
| 2030 | 1 | |
| 2100 | 18 | |
| 2120 | 1 | |
| 2125 | 22 | |
| 2150 | 1 | |
| 2170 | 1 | |
| 2175 | 1 | |
| 2200 | 31 | |
| 2230 | 1 | |
| 2240 | 1 | |
| 2250 | 4 | |
| 2280 | 1 | |
| 2300 | 20 | |
| 2333 | 1 | |
| 2350 | 3 | |
| 2375 | 18 | |
| 2400 | 13 | |
| 2430 | 1 | |
| 2450 | 2 | |
| 2480 | 1 | |
| 2500 | 44 | |
| 2590 | 1 | |
| 2600 | 18 | |
| 2625 | 16 | |
| 2650 | 1 | |
| 2700 | 14 | |
| 2750 | 5 | |
| 2780 | 1 | |
| 2800 | 21 | |
| 2860 | 1 | |
| 2870 | 1 | |
| 2875 | 19 | |
| 2900 | 8 | |
| 2950 | 1 | |
| 3000 | 47 | |
| 3050 | 1 | |
| 3100 | 7 | |
| 3150 | 3 | |
| 3200 | 14 | |
| 3300 | 8 | |
| 3400 | 4 | |
| 3500 | 56 | |
| 3600 | 7 | |
| 3670 | 1 | |
| 3700 | 8 | |
| 3800 | 3 | |
| 3890 | 2 | |
| 3900 | 4 | |
| 4000 | 24 | |
| 4050 | 1 | |
| 4250 | 1 | |
| 4280 | 1 | |
| 4300 | 1 | |
| 4354 | 1 | |
| 4400 | 1 | |
| 4500 | 25 | |
| 4600 | 2 | |
| 4650 | 1 | |
| 5000 | 14 | |
| 5500 | 5 | |
| 5900 | 1 | |
| 6000 | 8 | |
| 6200 | 1 | |
| 6250 | 10 | |
| 6500 | 2 | |
| 7500 | 3 | |
| 8000 | 4 | |
| 10000 | 1 | |
| 12000 | 12.000 EUR per month | 1 |
| 999990 | NAP, other countries | 46998 |
| 999997 | Refused | 296 |
| 999999 | NA | 19 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1328 | 47313 |
Valid range from 0 to 12000
dk_inc Family income: Denmark
| Value 154138 | Frequency | |
|---|---|---|
| 70000 | Below 100.000 DKK per year | 38 |
| 125000 | 100.000-149.999 DKK | 85 |
| 175000 | 150.000-199.999 DKK | 97 |
| 225000 | 200.000-249.999 DKK | 93 |
| 275000 | 250.000-299.999 DKK | 85 |
| 350000 | 300.000-399.999 DKK | 152 |
| 450000 | 400.000-499.999 DKK | 150 |
| 550000 | 500.000-599.999 DKK | 153 |
| 650000 | 600.000-699.999 DKK | 152 |
| 750000 | 700.000-799.999 DKK | 113 |
| 850000 | 800.000-899.999 DKK | 58 |
| 950000 | 900.000-999.999 DKK | 51 |
| 1050000 | 1 million DKK or more per year | 99 |
| 9999990 | NAP, other countries | 47273 |
| 9999999 | NA | 42 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1326 | 47315 |
Valid range from 70000 to 1050000
do_inc Family income: Dominican Republic
| Value 155137 | Frequency | |
|---|---|---|
| 2500 | Less than 5.000 DOP per month | 770 |
| 10500 | 5.000-15.999 DOP | 905 |
| 21500 | 16.000-26.999 DOP | 226 |
| 32500 | 27.000-37.999 DOP | 68 |
| 43500 | 38.000-48.999 DOP | 28 |
| 54500 | 49.000-59.999 DOP | 19 |
| 65000 | 60.000-69.999 DOP | 9 |
| 75000 | 70.000-79.999 DOP | 5 |
| 85000 | 80.000-89.999 DOP | 0 |
| 95000 | 90.000 DOP and more per month | 3 |
| 999990 | NAP, other countries | 46535 |
| 999999 | NA | 73 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2033 | 46608 |
Valid range from 2500 to 95000
es_inc Family income: Spain
| Value 156136 | Frequency | |
|---|---|---|
| 250 | 300 EUR per month or less | 14 |
| 450 | 301-600 EUR | 152 |
| 750 | 601-900 EUR | 201 |
| 1050 | 901-1.200 EUR | 313 |
| 1500 | 1.201-1.800 EUR | 445 |
| 2100 | 1.801-2.400 EUR | 327 |
| 2700 | 2.400-3.000 EUR | 207 |
| 3750 | 3.001-4.500 EUR | 135 |
| 5250 | 4.501-6.000 EUR | 41 |
| 7000 | More than 6.000 EUR per month | 16 |
| 999990 | NAP, other countries | 46124 |
| 999998 | DK | 262 |
| 999999 | NA | 404 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1851 | 46790 |
Valid range from 250 to 7000
fi_inc Family income: Finland
| Value 157135 | Frequency | |
|---|---|---|
| 20 | 20 EUR per month | 1 |
| 22 | 1 | |
| 150 | 1 | |
| 200 | 1 | |
| 210 | 1 | |
| 220 | 1 | |
| 254 | 1 | |
| 259 | 1 | |
| 300 | 1 | |
| 334 | 1 | |
| 360 | 1 | |
| 374 | 1 | |
| 400 | 2 | |
| 408 | 1 | |
| 430 | 1 | |
| 434 | 2 | |
| 450 | 4 | |
| 460 | 4 | |
| 470 | 2 | |
| 500 | 4 | |
| 517 | 1 | |
| 560 | 1 | |
| 570 | 1 | |
| 600 | 7 | |
| 690 | 1 | |
| 691 | 1 | |
| 700 | 13 | |
| 740 | 1 | |
| 750 | 2 | |
| 770 | 1 | |
| 786 | 1 | |
| 800 | 4 | |
| 835 | 1 | |
| 850 | 2 | |
| 851 | 1 | |
| 865 | 1 | |
| 900 | 12 | |
| 920 | 1 | |
| 932 | 1 | |
| 940 | 1 | |
| 950 | 1 | |
| 986 | 1 | |
| 999 | 1 | |
| 1000 | 22 | |
| 1020 | 1 | |
| 1070 | 1 | |
| 1090 | 2 | |
| 1100 | 4 | |
| 1110 | 1 | |
| 1157 | 1 | |
| 1200 | 14 | |
| 1250 | 1 | |
| 1262 | 1 | |
| 1272 | 1 | |
| 1300 | 7 | |
| 1350 | 1 | |
| 1360 | 1 | |
| 1376 | 1 | |
| 1400 | 7 | |
| 1450 | 1 | |
| 1462 | 1 | |
| 1468 | 1 | |
| 1472 | 1 | |
| 1473 | 1 | |
| 1500 | 27 | |
| 1501 | 1 | |
| 1522 | 1 | |
| 1560 | 2 | |
| 1600 | 9 | |
| 1625 | 1 | |
| 1645 | 1 | |
| 1650 | 1 | |
| 1670 | 1 | |
| 1700 | 13 | |
| 1703 | 1 | |
| 1712 | 1 | |
| 1732 | 1 | |
| 1750 | 2 | |
| 1785 | 1 | |
| 1790 | 1 | |
| 1800 | 10 | |
| 1840 | 1 | |
| 1900 | 9 | |
| 1923 | 1 | |
| 1930 | 1 | |
| 1936 | 1 | |
| 1950 | 3 | |
| 1965 | 1 | |
| 1967 | 1 | |
| 1968 | 1 | |
| 1980 | 1 | |
| 2000 | 43 | |
| 2050 | 2 | |
| 2070 | 1 | |
| 2100 | 7 | |
| 2120 | 1 | |
| 2130 | 1 | |
| 2140 | 1 | |
| 2150 | 3 | |
| 2166 | 1 | |
| 2200 | 17 | |
| 2205 | 1 | |
| 2206 | 1 | |
| 2280 | 1 | |
| 2300 | 10 | |
| 2348 | 1 | |
| 2390 | 1 | |
| 2400 | 10 | |
| 2430 | 1 | |
| 2445 | 1 | |
| 2500 | 34 | |
| 2530 | 1 | |
| 2600 | 13 | |
| 2632 | 1 | |
| 2650 | 1 | |
| 2680 | 1 | |
| 2700 | 6 | |
| 2750 | 1 | |
| 2800 | 13 | |
| 2840 | 1 | |
| 2850 | 2 | |
| 2897 | 1 | |
| 2900 | 7 | |
| 2930 | 1 | |
| 3000 | 62 | |
| 3100 | 2 | |
| 3130 | 1 | |
| 3150 | 1 | |
| 3187 | 1 | |
| 3190 | 1 | |
| 3200 | 14 | |
| 3259 | 1 | |
| 3295 | 1 | |
| 3300 | 11 | |
| 3360 | 1 | |
| 3400 | 5 | |
| 3450 | 2 | |
| 3499 | 1 | |
| 3500 | 36 | |
| 3520 | 1 | |
| 3600 | 11 | |
| 3650 | 1 | |
| 3700 | 10 | |
| 3750 | 1 | |
| 3770 | 1 | |
| 3800 | 9 | |
| 4000 | 62 | |
| 4007 | 1 | |
| 4100 | 2 | |
| 4156 | 1 | |
| 4166 | 1 | |
| 4170 | 1 | |
| 4200 | 9 | |
| 4250 | 1 | |
| 4300 | 5 | |
| 4330 | 1 | |
| 4377 | 1 | |
| 4400 | 4 | |
| 4500 | 41 | |
| 4550 | 1 | |
| 4600 | 7 | |
| 4670 | 1 | |
| 4700 | 5 | |
| 4800 | 5 | |
| 4900 | 4 | |
| 5000 | 57 | |
| 5100 | 2 | |
| 5150 | 1 | |
| 5200 | 4 | |
| 5300 | 3 | |
| 5400 | 3 | |
| 5476 | 1 | |
| 5500 | 15 | |
| 5550 | 1 | |
| 5600 | 1 | |
| 5645 | 1 | |
| 5656 | 1 | |
| 5700 | 1 | |
| 5800 | 6 | |
| 5900 | 1 | |
| 6000 | 31 | |
| 6025 | 1 | |
| 6100 | 2 | |
| 6200 | 3 | |
| 6300 | 1 | |
| 6400 | 3 | |
| 6500 | 6 | |
| 6550 | 1 | |
| 6700 | 1 | |
| 7000 | 19 | |
| 7500 | 8 | |
| 7600 | 1 | |
| 7800 | 2 | |
| 8000 | 8 | |
| 8500 | 4 | |
| 8600 | 1 | |
| 8800 | 1 | |
| 9000 | 8 | |
| 9100 | 1 | |
| 9122 | 1 | |
| 9500 | 3 | |
| 10000 | 10 | |
| 10500 | 1 | |
| 11000 | 3 | |
| 11500 | 1 | |
| 12000 | 5 | |
| 12500 | 1 | |
| 15000 | 2 | |
| 19500 | 1 | |
| 20000 | 2 | |
| 32048 | 1 | |
| 46000 | 1 | |
| 60000 | 1 | |
| 130000 | 130.000 EUR per month | 1 |
| 999990 | NAP, other countries | 47452 |
| 999999 | NA | 187 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1002 | 47639 |
Valid range from 20 to 130000
fr_inc Family income: France
| Value 158134 | Frequency | |
|---|---|---|
| 250 | Less than 500 EUR per month | 6 |
| 650 | 500-800 EUR | 33 |
| 1000 | 800-1.200 EUR | 56 |
| 1450 | 1.200-1.700 EUR | 129 |
| 2050 | 1.700-2.400 EUR | 203 |
| 2750 | 2.400-3.100 EUR | 269 |
| 3450 | 3.100-3.800 EUR | 141 |
| 4150 | 3.800-4.500 EUR | 132 |
| 5250 | 4.500-6.000 EUR | 116 |
| 6750 | 6.000-7.500 EUR | 41 |
| 8250 | More than 7.500 EUR per month | 39 |
| 999990 | NAP, other countries | 46817 |
| 999999 | NA | 659 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1165 | 47476 |
Valid range from 250 to 8250
gb_inc Family income: Great Britain
| Value 159133 | Frequency | |
|---|---|---|
| 2000 | Up to 3.999 GBP | 14 |
| 5000 | 4.000-5.999 GBP | 65 |
| 7000 | 6.000-7.999 GBP | 48 |
| 9000 | 8.000-9.999 GBP | 51 |
| 11000 | 10.000-11.999 GBP | 41 |
| 13500 | 12.000-14.999 GBP | 59 |
| 16500 | 15.000-17.999 GBP | 52 |
| 19000 | 18.000-19.999 GBP | 39 |
| 21500 | 20.000-22.999 GBP | 48 |
| 24500 | 23.000-25.999 GBP | 42 |
| 27500 | 26.000-28.999 GBP | 40 |
| 30500 | 29.000-31.999 GBP | 47 |
| 35000 | 32.000-37.999 GBP | 65 |
| 41000 | 38.000-43.999 GBP | 37 |
| 47000 | 44.000-49.999 GBP | 32 |
| 53000 | 50.000-55.999 GBP | 35 |
| 59000 | 56.000 GBP or more | 97 |
| 999990 | NAP, other countries | 47711 |
| 999997 | Refused | 75 |
| 999998 | DK | 43 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 812 | 47829 |
Valid range from 2000 to 59000
hr_inc Family income: Croatia
| Value 160132 | Frequency | |
|---|---|---|
| 150 | 150 HRK per month | 1 |
| 200 | 1 | |
| 270 | 1 | |
| 300 | 2 | |
| 340 | 1 | |
| 400 | 3 | |
| 494 | 1 | |
| 500 | 3 | |
| 600 | 3 | |
| 640 | 1 | |
| 641 | 1 | |
| 700 | 1 | |
| 746 | 1 | |
| 800 | 3 | |
| 900 | 5 | |
| 1000 | 10 | |
| 1100 | 5 | |
| 1140 | 1 | |
| 1150 | 1 | |
| 1156 | 1 | |
| 1200 | 8 | |
| 1240 | 1 | |
| 1260 | 1 | |
| 1300 | 6 | |
| 1350 | 2 | |
| 1400 | 5 | |
| 1450 | 1 | |
| 1490 | 1 | |
| 1500 | 22 | |
| 1550 | 2 | |
| 1600 | 9 | |
| 1650 | 3 | |
| 1700 | 5 | |
| 1800 | 7 | |
| 1900 | 4 | |
| 1950 | 1 | |
| 1980 | 1 | |
| 2000 | 24 | |
| 2025 | 1 | |
| 2030 | 1 | |
| 2100 | 3 | |
| 2166 | 1 | |
| 2195 | 1 | |
| 2200 | 8 | |
| 2300 | 5 | |
| 2400 | 8 | |
| 2450 | 1 | |
| 2460 | 1 | |
| 2500 | 22 | |
| 2600 | 3 | |
| 2700 | 4 | |
| 2750 | 1 | |
| 2800 | 5 | |
| 2930 | 1 | |
| 3000 | 30 | |
| 3030 | 1 | |
| 3100 | 3 | |
| 3200 | 6 | |
| 3300 | 6 | |
| 3400 | 4 | |
| 3500 | 18 | |
| 3600 | 8 | |
| 3700 | 3 | |
| 3800 | 7 | |
| 3850 | 1 | |
| 3900 | 3 | |
| 4000 | 42 | |
| 4100 | 2 | |
| 4200 | 4 | |
| 4300 | 4 | |
| 4400 | 2 | |
| 4470 | 1 | |
| 4500 | 16 | |
| 4600 | 2 | |
| 4700 | 2 | |
| 4800 | 7 | |
| 5000 | 53 | |
| 5040 | 1 | |
| 5100 | 1 | |
| 5200 | 3 | |
| 5500 | 9 | |
| 5600 | 4 | |
| 5700 | 2 | |
| 5800 | 4 | |
| 5809 | 1 | |
| 5900 | 2 | |
| 6000 | 41 | |
| 6100 | 1 | |
| 6200 | 1 | |
| 6300 | 3 | |
| 6400 | 1 | |
| 6500 | 13 | |
| 6600 | 2 | |
| 6700 | 1 | |
| 6800 | 4 | |
| 7000 | 26 | |
| 7200 | 3 | |
| 7500 | 9 | |
| 7600 | 1 | |
| 7700 | 2 | |
| 7800 | 2 | |
| 8000 | 49 | |
| 8300 | 1 | |
| 8400 | 1 | |
| 8500 | 5 | |
| 8800 | 1 | |
| 9000 | 25 | |
| 9300 | 1 | |
| 9500 | 5 | |
| 9800 | 1 | |
| 10000 | 51 | |
| 10500 | 2 | |
| 11000 | 11 | |
| 11200 | 2 | |
| 11500 | 1 | |
| 12000 | 13 | |
| 12500 | 2 | |
| 13000 | 9 | |
| 13500 | 1 | |
| 14000 | 2 | |
| 14200 | 1 | |
| 14500 | 1 | |
| 15000 | 9 | |
| 15500 | 1 | |
| 16000 | 3 | |
| 17000 | 4 | |
| 17300 | 1 | |
| 17500 | 1 | |
| 18000 | 2 | |
| 20000 | 4 | |
| 23000 | 1 | |
| 30000 | 1 | |
| 34000 | 1 | |
| 37000 | 1 | |
| 40000 | 2 | |
| 60000 | 1 | |
| 75000 | 75.000 HRK per month | 1 |
| 999990 | NAP, other countries | 47441 |
| 999997 | Refused | 128 |
| 999998 | DK | 146 |
| 999999 | NA | 131 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 795 | 47846 |
Valid range from 150 to 75000
hu_inc Family income: Hungary
| Value 161131 | Frequency | |
|---|---|---|
| 0 | No income | 1 |
| 19500 | 19.500 HUF | 1 |
| 21000 | 1 | |
| 23000 | 1 | |
| 23600 | 2 | |
| 25468 | 1 | |
| 27000 | 1 | |
| 28000 | 1 | |
| 30000 | 1 | |
| 32000 | 2 | |
| 32600 | 1 | |
| 34400 | 1 | |
| 35000 | 3 | |
| 36000 | 1 | |
| 38000 | 2 | |
| 39000 | 1 | |
| 40000 | 3 | |
| 40040 | 1 | |
| 41000 | 3 | |
| 42000 | 2 | |
| 43000 | 1 | |
| 44000 | 1 | |
| 45000 | 2 | |
| 45500 | 1 | |
| 47000 | 2 | |
| 48000 | 2 | |
| 49000 | 1 | |
| 50000 | 6 | |
| 51000 | 2 | |
| 52000 | 3 | |
| 53000 | 5 | |
| 54000 | 4 | |
| 54700 | 1 | |
| 55000 | 4 | |
| 56000 | 2 | |
| 56200 | 1 | |
| 57000 | 6 | |
| 58000 | 5 | |
| 59000 | 1 | |
| 60000 | 17 | |
| 61000 | 3 | |
| 61800 | 1 | |
| 62000 | 4 | |
| 63000 | 5 | |
| 63500 | 1 | |
| 63700 | 1 | |
| 63800 | 1 | |
| 64000 | 6 | |
| 65000 | 6 | |
| 67000 | 4 | |
| 68000 | 3 | |
| 69000 | 2 | |
| 69600 | 1 | |
| 70000 | 18 | |
| 71000 | 1 | |
| 71500 | 1 | |
| 71800 | 1 | |
| 72000 | 2 | |
| 73000 | 3 | |
| 73700 | 1 | |
| 74000 | 1 | |
| 74200 | 1 | |
| 75000 | 20 | |
| 75200 | 1 | |
| 77000 | 1 | |
| 77700 | 1 | |
| 78000 | 3 | |
| 79000 | 1 | |
| 80000 | 14 | |
| 80024 | 1 | |
| 81000 | 1 | |
| 82000 | 1 | |
| 84000 | 5 | |
| 84500 | 1 | |
| 85000 | 6 | |
| 86000 | 3 | |
| 87000 | 3 | |
| 88000 | 1 | |
| 89000 | 1 | |
| 90000 | 12 | |
| 90800 | 1 | |
| 91000 | 2 | |
| 91200 | 1 | |
| 92000 | 4 | |
| 93000 | 3 | |
| 94000 | 2 | |
| 95000 | 1 | |
| 96000 | 1 | |
| 97000 | 1 | |
| 99000 | 1 | |
| 100000 | 23 | |
| 101000 | 3 | |
| 101600 | 1 | |
| 102000 | 2 | |
| 103000 | 1 | |
| 104000 | 2 | |
| 105000 | 24 | |
| 106000 | 4 | |
| 107000 | 1 | |
| 108000 | 1 | |
| 110000 | 20 | |
| 114000 | 2 | |
| 115000 | 1 | |
| 116000 | 5 | |
| 117900 | 1 | |
| 118000 | 2 | |
| 120000 | 18 | |
| 121000 | 1 | |
| 122000 | 1 | |
| 124000 | 1 | |
| 125000 | 2 | |
| 126000 | 2 | |
| 127300 | 1 | |
| 128000 | 1 | |
| 130000 | 15 | |
| 131000 | 1 | |
| 133000 | 3 | |
| 135000 | 33 | |
| 135200 | 1 | |
| 136000 | 1 | |
| 137000 | 2 | |
| 138000 | 1 | |
| 140000 | 14 | |
| 142482 | 1 | |
| 144000 | 1 | |
| 145000 | 5 | |
| 148000 | 2 | |
| 150000 | 28 | |
| 152000 | 2 | |
| 154000 | 2 | |
| 156000 | 1 | |
| 157000 | 1 | |
| 159400 | 1 | |
| 160000 | 19 | |
| 163000 | 1 | |
| 165000 | 3 | |
| 170000 | 16 | |
| 173000 | 1 | |
| 174000 | 1 | |
| 175000 | 46 | |
| 178000 | 1 | |
| 180000 | 13 | |
| 182000 | 1 | |
| 185000 | 2 | |
| 186000 | 1 | |
| 190000 | 4 | |
| 195000 | 1 | |
| 196000 | 1 | |
| 200000 | 28 | |
| 205100 | 1 | |
| 210000 | 6 | |
| 215000 | 1 | |
| 220000 | 4 | |
| 225000 | 1 | |
| 230000 | 3 | |
| 240000 | 4 | |
| 250000 | 27 | |
| 260000 | 2 | |
| 270000 | 2 | |
| 280000 | 3 | |
| 300000 | 6 | |
| 320000 | 1 | |
| 330000 | 1 | |
| 340000 | 1 | |
| 350000 | 1 | |
| 360000 | 1 | |
| 400000 | 6 | |
| 500000 | 17 | |
| 750000 | 750.000 HUF | 118 |
| 999990 | NAP, other countries | 47631 |
| 999997 | Refused | 126 |
| 999998 | DK | 41 |
| 999999 | NA | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 837 | 47804 |
Valid range from 0 to 750000
ie_inc Family income: Ireland
| Value 162130 | Frequency | |
|---|---|---|
| 5000 | Under 6.000 EUR per year | 3 |
| 7750 | 6.000-9.500 EUR | 50 |
| 10750 | 9.500-12.000 EUR | 79 |
| 15000 | 12.000-18.000 EUR | 88 |
| 21000 | 18.000-24.000 EUR | 81 |
| 27000 | 24.000-30.000 EUR | 102 |
| 33000 | 30.000-36.000 EUR | 94 |
| 48000 | 36.000-60.000 EUR | 140 |
| 75000 | 60.000-90.000 EUR | 84 |
| 105000 | 90.000-120.000 EUR | 42 |
| 140000 | 120.000-160.000 EUR | 8 |
| 165000 | 160.000 EUR and more per year | 8 |
| 999990 | NAP, other countries | 47640 |
| 999997 | Refused | 104 |
| 999998 | DK | 102 |
| 999999 | NA | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 779 | 47862 |
Valid range from 5000 to 165000
il_inc Family income: Israel
| Value 163129 | Frequency | |
|---|---|---|
| 0 | No income | 40 |
| 2250 | 4.500 ILS and less, net | 247 |
| 5000 | 4.500-5.500 ILS | 110 |
| 6000 | 5.500-6.500 ILS | 93 |
| 7000 | 6.500-7.500 ILS | 114 |
| 8000 | 7.500-8.500 ILS | 70 |
| 9500 | 8.500-10.500 ILS | 133 |
| 12000 | 10.500-13.500 ILS | 96 |
| 14500 | 13.500-15.500 ILS | 47 |
| 17750 | 15.500-20.000 ILS | 53 |
| 22000 | More than 20.000 ILS | 42 |
| 999990 | NAP, other countries | 47296 |
| 999997 | Refused | 123 |
| 999998 | DK | 73 |
| 999999 | NA | 104 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1045 | 47596 |
Valid range from 0 to 22000
jp_inc Family income: Japan
| Value 164128 | Frequency | |
|---|---|---|
| 1000000 | Less than 2.000.000 JPY per year | 137 |
| 2500000 | 2.000.000-2.999.999 JPY | 139 |
| 3500000 | 3.000.000-3.999.999 JPY | 131 |
| 4500000 | 4.000.000-4.999.999 JPY | 126 |
| 5500000 | 5.000.000-5.999.999 JPY | 127 |
| 6500000 | 6.000.000-6.999.999 JPY | 81 |
| 7500000 | 7.000.000-7.999.999 JPY | 85 |
| 8500000 | 8.000.000-8.999.999 JPY | 55 |
| 9500000 | 9.000.000-9.999.999 JPY | 53 |
| 11000000 | 10.000.000-11.999.999 JPY | 61 |
| 13500000 | 12.000.000-14.999.999 JPY | 27 |
| 20000000 | 15.000.000 JPY and more per year | 43 |
| 99999990 | NAP, other countries | 47410 |
| 99999999 | NA | 166 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1065 | 47576 |
Valid range from 1000000 to 20000000
kr_inc Family income: South Korea
| Value 165127 | Frequency | |
|---|---|---|
| 0 | No income | 9 |
| 40000 | 40.000 KRW per month | 1 |
| 60000 | 1 | |
| 70000 | 1 | |
| 100000 | 9 | |
| 150000 | 8 | |
| 160000 | 1 | |
| 200000 | 16 | |
| 230000 | 1 | |
| 250000 | 11 | |
| 300000 | 19 | |
| 310000 | 1 | |
| 320000 | 2 | |
| 330000 | 1 | |
| 350000 | 1 | |
| 360000 | 1 | |
| 400000 | 14 | |
| 420000 | 1 | |
| 440000 | 1 | |
| 450000 | 1 | |
| 470000 | 1 | |
| 500000 | 31 | |
| 530000 | 1 | |
| 550000 | 4 | |
| 600000 | 12 | |
| 630000 | 1 | |
| 650000 | 7 | |
| 700000 | 10 | |
| 750000 | 3 | |
| 800000 | 11 | |
| 830000 | 3 | |
| 850000 | 1 | |
| 890000 | 1 | |
| 900000 | 6 | |
| 930000 | 1 | |
| 940000 | 1 | |
| 950000 | 1 | |
| 990000 | 1 | |
| 1000000 | 67 | |
| 1060000 | 1 | |
| 1100000 | 1 | |
| 1200000 | 22 | |
| 1250000 | 8 | |
| 1300000 | 7 | |
| 1350000 | 1 | |
| 1400000 | 9 | |
| 1430000 | 1 | |
| 1450000 | 1 | |
| 1490000 | 1 | |
| 1500000 | 82 | |
| 1550000 | 2 | |
| 1600000 | 13 | |
| 1630000 | 1 | |
| 1650000 | 1 | |
| 1670000 | 1 | |
| 1700000 | 10 | |
| 1740000 | 1 | |
| 1750000 | 3 | |
| 1800000 | 21 | |
| 1900000 | 13 | |
| 1970000 | 1 | |
| 1990000 | 1 | |
| 2000000 | 130 | |
| 2100000 | 4 | |
| 2150000 | 1 | |
| 2200000 | 14 | |
| 2250000 | 13 | |
| 2300000 | 10 | |
| 2350000 | 1 | |
| 2400000 | 8 | |
| 2450000 | 1 | |
| 2500000 | 100 | |
| 2550000 | 1 | |
| 2600000 | 11 | |
| 2700000 | 10 | |
| 2750000 | 7 | |
| 2800000 | 14 | |
| 2900000 | 5 | |
| 3000000 | 158 | |
| 3100000 | 5 | |
| 3200000 | 4 | |
| 3250000 | 6 | |
| 3260000 | 1 | |
| 3300000 | 12 | |
| 3330000 | 1 | |
| 3400000 | 3 | |
| 3500000 | 50 | |
| 3600000 | 4 | |
| 3650000 | 1 | |
| 3700000 | 4 | |
| 3750000 | 8 | |
| 3800000 | 11 | |
| 3900000 | 3 | |
| 4000000 | 105 | |
| 4100000 | 6 | |
| 4200000 | 3 | |
| 4250000 | 3 | |
| 4280000 | 1 | |
| 4300000 | 4 | |
| 4400000 | 3 | |
| 4500000 | 41 | |
| 4570000 | 1 | |
| 4600000 | 4 | |
| 4700000 | 4 | |
| 4750000 | 3 | |
| 4800000 | 2 | |
| 4830000 | 2 | |
| 5000000 | 82 | |
| 5100000 | 1 | |
| 5200000 | 6 | |
| 5250000 | 5 | |
| 5300000 | 5 | |
| 5350000 | 1 | |
| 5400000 | 2 | |
| 5500000 | 19 | |
| 5600000 | 1 | |
| 5700000 | 2 | |
| 5750000 | 4 | |
| 5800000 | 2 | |
| 5850000 | 1 | |
| 6000000 | 47 | |
| 6100000 | 1 | |
| 6250000 | 6 | |
| 6300000 | 1 | |
| 6350000 | 1 | |
| 6500000 | 7 | |
| 6600000 | 2 | |
| 6750000 | 1 | |
| 6800000 | 2 | |
| 7000000 | 32 | |
| 7250000 | 1 | |
| 7500000 | 4 | |
| 7900000 | 1 | |
| 8000000 | 15 | |
| 8200000 | 1 | |
| 8300000 | 1 | |
| 8330000 | 1 | |
| 8500000 | 5 | |
| 9000000 | 3 | |
| 10000000 | 18 | |
| 10500000 | 1 | |
| 11000000 | 1 | |
| 11250000 | 1 | |
| 12000000 | 3 | |
| 13000000 | 2 | |
| 15000000 | 6 | |
| 18000000 | 1 | |
| 20000000 | 3 | |
| 23000000 | 1 | |
| 30000000 | 2 | |
| 37000000 | 1 | |
| 39000000 | 1 | |
| 43000000 | 1 | |
| 76500000 | 76.500.000 KRW per month | 1 |
| 99999990 | NAP, other countries | 47036 |
| 99999999 | NA | 51 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1554 | 47087 |
Valid range from 0 to 76500000
lv_inc Family income: Latvia
| Value 166126 | Frequency | |
|---|---|---|
| 0 | No income | 2 |
| 10 | 10 LVL | 1 |
| 35 | 1 | |
| 39 | 1 | |
| 40 | 2 | |
| 42 | 1 | |
| 45 | 1 | |
| 50 | 3 | |
| 60 | 1 | |
| 70 | 4 | |
| 72 | 1 | |
| 73 | 1 | |
| 74 | 1 | |
| 75 | 2 | |
| 80 | 7 | |
| 84 | 4 | |
| 85 | 4 | |
| 86 | 1 | |
| 87 | 2 | |
| 88 | 1 | |
| 89 | 1 | |
| 90 | 5 | |
| 92 | 3 | |
| 93 | 1 | |
| 94 | 6 | |
| 95 | 1 | |
| 96 | 5 | |
| 97 | 1 | |
| 98 | 6 | |
| 100 | 18 | |
| 101 | 1 | |
| 102 | 4 | |
| 104 | 2 | |
| 105 | 4 | |
| 106 | 3 | |
| 109 | 1 | |
| 110 | 3 | |
| 111 | 1 | |
| 113 | 2 | |
| 115 | 3 | |
| 116 | 2 | |
| 117 | 1 | |
| 118 | 1 | |
| 119 | 1 | |
| 120 | 8 | |
| 122 | 1 | |
| 125 | 1 | |
| 126 | 1 | |
| 128 | 1 | |
| 130 | 4 | |
| 132 | 1 | |
| 140 | 4 | |
| 144 | 1 | |
| 145 | 1 | |
| 146 | 1 | |
| 147 | 1 | |
| 148 | 1 | |
| 150 | 13 | |
| 153 | 1 | |
| 156 | 1 | |
| 157 | 1 | |
| 160 | 11 | |
| 164 | 2 | |
| 166 | 1 | |
| 168 | 1 | |
| 170 | 9 | |
| 173 | 1 | |
| 177 | 1 | |
| 180 | 8 | |
| 183 | 1 | |
| 184 | 1 | |
| 185 | 1 | |
| 186 | 1 | |
| 187 | 1 | |
| 190 | 6 | |
| 192 | 1 | |
| 193 | 1 | |
| 195 | 2 | |
| 196 | 2 | |
| 197 | 3 | |
| 198 | 4 | |
| 200 | 30 | |
| 202 | 1 | |
| 205 | 3 | |
| 207 | 1 | |
| 210 | 9 | |
| 211 | 1 | |
| 213 | 1 | |
| 215 | 2 | |
| 220 | 5 | |
| 225 | 1 | |
| 230 | 6 | |
| 234 | 1 | |
| 238 | 1 | |
| 240 | 2 | |
| 242 | 1 | |
| 248 | 1 | |
| 250 | 18 | |
| 253 | 1 | |
| 255 | 1 | |
| 256 | 2 | |
| 260 | 4 | |
| 270 | 5 | |
| 280 | 11 | |
| 283 | 1 | |
| 290 | 5 | |
| 300 | 45 | |
| 310 | 1 | |
| 320 | 2 | |
| 330 | 2 | |
| 340 | 2 | |
| 342 | 1 | |
| 350 | 16 | |
| 355 | 1 | |
| 360 | 2 | |
| 368 | 1 | |
| 370 | 4 | |
| 380 | 7 | |
| 400 | 50 | |
| 402 | 1 | |
| 410 | 1 | |
| 415 | 1 | |
| 420 | 5 | |
| 430 | 1 | |
| 450 | 14 | |
| 460 | 2 | |
| 470 | 2 | |
| 480 | 3 | |
| 490 | 2 | |
| 500 | 49 | |
| 520 | 2 | |
| 540 | 1 | |
| 550 | 6 | |
| 560 | 3 | |
| 586 | 1 | |
| 600 | 30 | |
| 620 | 1 | |
| 630 | 2 | |
| 648 | 1 | |
| 650 | 6 | |
| 665 | 1 | |
| 680 | 1 | |
| 700 | 21 | |
| 717 | 1 | |
| 736 | 1 | |
| 750 | 1 | |
| 800 | 31 | |
| 850 | 1 | |
| 860 | 1 | |
| 880 | 1 | |
| 890 | 1 | |
| 900 | 4 | |
| 950 | 1 | |
| 980 | 1 | |
| 1000 | 17 | |
| 1050 | 1 | |
| 1100 | 2 | |
| 1200 | 3 | |
| 1322 | 1 | |
| 1400 | 1 | |
| 1500 | 2 | |
| 1550 | 1 | |
| 1600 | 1 | |
| 1700 | 1 | |
| 1800 | 2 | |
| 2000 | 2 | |
| 2400 | 1 | |
| 3000 | 1 | |
| 21000 | 21.000 LVL | 1 |
| 999990 | NAP, other countries | 47572 |
| 999997 | Refused | 240 |
| 999998 | DK | 126 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 703 | 47938 |
Valid range from 0 to 21000
nl_inc Family income: Netherlands
| Value 167125 | Frequency | |
|---|---|---|
| 350 | 350 EUR per month | 10 |
| 700 | 2 | |
| 750 | 51 | |
| 1050 | 1 | |
| 1100 | 11 | |
| 1200 | 73 | |
| 1450 | 2 | |
| 1500 | 30 | |
| 1550 | 15 | |
| 1600 | 81 | |
| 1950 | 54 | |
| 2000 | 60 | |
| 2300 | 4 | |
| 2350 | 57 | |
| 2400 | 57 | |
| 2700 | 6 | |
| 2750 | 39 | |
| 2800 | 61 | |
| 3100 | 3 | |
| 3150 | 20 | |
| 3200 | 47 | |
| 3500 | 16 | |
| 3550 | 14 | |
| 3600 | 30 | |
| 3850 | 6 | |
| 3950 | 6 | |
| 4000 | 28 | |
| 4250 | 10 | |
| 4300 | 1 | |
| 4350 | 4 | |
| 4400 | 17 | |
| 4500 | 8 | |
| 4700 | 9 | |
| 4750 | 2 | |
| 4800 | 9 | |
| 4850 | 4 | |
| 5050 | 1 | |
| 5100 | 6 | |
| 5200 | 6 | |
| 5250 | 2 | |
| 5450 | 1 | |
| 5500 | 15 | |
| 5600 | 2 | |
| 5700 | 4 | |
| 5900 | 7 | |
| 5950 | 1 | |
| 6250 | 2 | |
| 6300 | 3 | |
| 6650 | 1 | |
| 6700 | 3 | |
| 6900 | 1 | |
| 7000 | 2 | |
| 7100 | 4 | |
| 7500 | 2 | |
| 7900 | 2 | |
| 8000 | 2 | |
| 8300 | 1 | |
| 9000 | 1 | |
| 10000 | 1 | |
| 11000 | 3 | |
| 11350 | 11.350 EUR per month | 1 |
| 999990 | NAP, other countries | 47648 |
| 999999 | NA | 71 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 922 | 47719 |
Valid range from 350 to 11350
no_inc Family income: Norway
| Value 168124 | Frequency | |
|---|---|---|
| 1000 | 1.000 NOK per year | 2 |
| 4000 | 1 | |
| 8000 | 1 | |
| 10000 | 3 | |
| 11000 | 1 | |
| 15000 | 1 | |
| 16000 | 1 | |
| 18000 | 1 | |
| 20000 | 3 | |
| 25000 | 1 | |
| 26000 | 1 | |
| 30000 | 4 | |
| 35000 | 1 | |
| 40000 | 6 | |
| 45000 | 2 | |
| 50000 | 8 | |
| 52000 | 1 | |
| 57000 | 1 | |
| 62000 | 1 | |
| 69000 | 1 | |
| 70000 | 2 | |
| 80000 | 6 | |
| 85000 | 1 | |
| 90000 | 2 | |
| 100000 | 16 | |
| 102000 | 1 | |
| 107000 | 1 | |
| 108000 | 2 | |
| 110000 | 1 | |
| 111000 | 1 | |
| 112000 | 1 | |
| 113000 | 1 | |
| 115000 | 1 | |
| 118000 | 1 | |
| 120000 | 8 | |
| 121000 | 1 | |
| 122000 | 2 | |
| 128000 | 1 | |
| 130000 | 4 | |
| 135000 | 1 | |
| 136000 | 1 | |
| 137000 | 1 | |
| 139000 | 1 | |
| 140000 | 6 | |
| 141000 | 1 | |
| 150000 | 10 | |
| 156000 | 1 | |
| 160000 | 5 | |
| 170000 | 6 | |
| 171000 | 1 | |
| 175000 | 3 | |
| 180000 | 5 | |
| 183000 | 1 | |
| 184000 | 2 | |
| 188000 | 1 | |
| 190000 | 4 | |
| 192000 | 1 | |
| 197000 | 1 | |
| 200000 | 25 | |
| 204000 | 1 | |
| 210000 | 3 | |
| 214000 | 1 | |
| 216000 | 1 | |
| 218000 | 2 | |
| 220000 | 9 | |
| 225000 | 1 | |
| 228000 | 2 | |
| 230000 | 9 | |
| 238000 | 1 | |
| 240000 | 7 | |
| 245000 | 3 | |
| 250000 | 23 | |
| 252000 | 2 | |
| 258000 | 1 | |
| 259000 | 1 | |
| 260000 | 8 | |
| 267000 | 1 | |
| 268000 | 1 | |
| 269000 | 2 | |
| 270000 | 6 | |
| 271000 | 1 | |
| 272000 | 1 | |
| 273000 | 1 | |
| 274000 | 1 | |
| 275000 | 1 | |
| 276000 | 2 | |
| 280000 | 12 | |
| 288000 | 1 | |
| 290000 | 4 | |
| 295000 | 1 | |
| 296000 | 1 | |
| 300000 | 47 | |
| 301000 | 1 | |
| 302000 | 1 | |
| 305000 | 2 | |
| 306000 | 1 | |
| 307000 | 1 | |
| 315000 | 2 | |
| 318000 | 1 | |
| 320000 | 10 | |
| 322000 | 1 | |
| 325000 | 1 | |
| 327000 | 2 | |
| 330000 | 3 | |
| 332000 | 1 | |
| 340000 | 4 | |
| 348000 | 1 | |
| 350000 | 36 | |
| 352000 | 2 | |
| 359000 | 1 | |
| 360000 | 9 | |
| 362000 | 1 | |
| 365000 | 2 | |
| 367000 | 1 | |
| 370000 | 8 | |
| 375000 | 2 | |
| 380000 | 7 | |
| 383000 | 1 | |
| 385000 | 3 | |
| 388000 | 1 | |
| 389000 | 1 | |
| 390000 | 2 | |
| 391000 | 1 | |
| 395000 | 2 | |
| 397000 | 1 | |
| 398000 | 1 | |
| 400000 | 58 | |
| 405000 | 2 | |
| 408000 | 1 | |
| 410000 | 4 | |
| 413000 | 1 | |
| 415000 | 1 | |
| 420000 | 6 | |
| 422000 | 1 | |
| 423000 | 2 | |
| 425000 | 1 | |
| 427000 | 1 | |
| 430000 | 5 | |
| 435000 | 2 | |
| 440000 | 6 | |
| 441000 | 1 | |
| 446000 | 1 | |
| 447000 | 2 | |
| 450000 | 32 | |
| 455000 | 1 | |
| 460000 | 4 | |
| 466000 | 1 | |
| 470000 | 3 | |
| 478000 | 1 | |
| 480000 | 7 | |
| 489000 | 1 | |
| 490000 | 5 | |
| 498000 | 1 | |
| 500000 | 58 | |
| 505000 | 2 | |
| 510000 | 6 | |
| 511000 | 2 | |
| 515000 | 1 | |
| 518000 | 1 | |
| 520000 | 5 | |
| 525000 | 1 | |
| 530000 | 10 | |
| 537000 | 1 | |
| 540000 | 1 | |
| 544000 | 1 | |
| 545000 | 1 | |
| 550000 | 38 | |
| 555000 | 1 | |
| 560000 | 8 | |
| 564000 | 1 | |
| 570000 | 9 | |
| 575000 | 3 | |
| 579000 | 1 | |
| 580000 | 6 | |
| 581000 | 1 | |
| 585000 | 1 | |
| 588000 | 1 | |
| 590000 | 7 | |
| 595000 | 1 | |
| 600000 | 53 | |
| 604000 | 1 | |
| 609000 | 1 | |
| 610000 | 1 | |
| 615000 | 1 | |
| 620000 | 6 | |
| 625000 | 2 | |
| 630000 | 6 | |
| 632000 | 1 | |
| 634000 | 1 | |
| 640000 | 4 | |
| 650000 | 43 | |
| 653000 | 1 | |
| 659000 | 1 | |
| 660000 | 3 | |
| 670000 | 2 | |
| 675000 | 1 | |
| 680000 | 6 | |
| 681000 | 1 | |
| 684000 | 1 | |
| 685000 | 2 | |
| 690000 | 4 | |
| 699000 | 1 | |
| 700000 | 57 | |
| 710000 | 1 | |
| 720000 | 3 | |
| 730000 | 2 | |
| 740000 | 2 | |
| 745000 | 1 | |
| 750000 | 24 | |
| 755000 | 1 | |
| 760000 | 2 | |
| 770000 | 3 | |
| 775000 | 1 | |
| 780000 | 3 | |
| 785000 | 2 | |
| 790000 | 2 | |
| 800000 | 43 | |
| 820000 | 2 | |
| 830000 | 2 | |
| 840000 | 2 | |
| 850000 | 14 | |
| 860000 | 3 | |
| 870000 | 3 | |
| 880000 | 1 | |
| 890000 | 1 | |
| 895000 | 1 | |
| 900000 | 17 | |
| 910000 | 1 | |
| 920000 | 3 | |
| 935000 | 1 | |
| 940000 | 2 | |
| 947000 | 1 | |
| 950000 | 12 | |
| 960000 | 1 | |
| 975000 | 1 | |
| 980000 | 1 | |
| 990000 | 1 | |
| 1000000 | 25 | |
| 1020000 | 2 | |
| 1025000 | 1 | |
| 1050000 | 1 | |
| 1100000 | 10 | |
| 1120000 | 3 | |
| 1150000 | 3 | |
| 1200000 | 14 | |
| 1230000 | 1 | |
| 1250000 | 1 | |
| 1280000 | 1 | |
| 1300000 | 4 | |
| 1350000 | 1 | |
| 1400000 | 3 | |
| 1500000 | 3 | |
| 1555000 | 1 | |
| 1580000 | 1 | |
| 1600000 | 4 | |
| 1650000 | 1 | |
| 1800000 | 1 | |
| 1900000 | 1 | |
| 2200000 | 1 | |
| 2300000 | 1 | |
| 2400000 | 1 | |
| 2550000 | 1 | |
| 2800000 | 1 | |
| 3000000 | 1 | |
| 3170000 | 1 | |
| 3200000 | 1 | |
| 3430000 | 1 | |
| 3500000 | 1 | |
| 3600000 | 1 | |
| 4200000 | 1 | |
| 4800000 | 1 | |
| 5000000 | 1 | |
| 9000000 | 9.000.000 NOK per year | 1 |
| 9999990 | NAP, other countries | 47311 |
| 9999999 | NA | 111 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1219 | 47422 |
Valid range from 1000 to 9000000
nz_inc Family income: New Zealand
| Value 169123 | Frequency | |
|---|---|---|
| 7500 | 7.500 NZD per year | 48 |
| 12500 | 12.500 NZD | 39 |
| 17500 | 17.500 NZD | 68 |
| 22500 | 22.500 NZD | 3 |
| 25000 | 25.000 NZD | 118 |
| 27500 | 27.500 NZD | 25 |
| 35000 | 35.000 NZD | 97 |
| 45000 | 45.000 NZD | 105 |
| 55000 | 55.000 NZD | 71 |
| 60000 | 60.000 NZD | 28 |
| 65000 | 65.000 NZD | 96 |
| 75000 | 75.000 NZD | 93 |
| 85000 | 85.000 NZD | 17 |
| 90000 | 90.000 NZD | 158 |
| 120000 | 120.000 NZD per year | 250 |
| 999990 | NAP, other countries | 47378 |
| 999999 | NA | 47 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1216 | 47425 |
Valid range from 7500 to 120000
ph_inc Family income: Philippines
| Value 170122 | Frequency | |
|---|---|---|
| 0 | No income | 3 |
| 200 | 200 PHP per month | 1 |
| 500 | 4 | |
| 600 | 2 | |
| 700 | 1 | |
| 800 | 2 | |
| 1000 | 15 | |
| 1500 | 22 | |
| 1600 | 1 | |
| 1700 | 3 | |
| 1800 | 3 | |
| 2000 | 50 | |
| 2100 | 1 | |
| 2200 | 2 | |
| 2260 | 1 | |
| 2300 | 1 | |
| 2400 | 5 | |
| 2500 | 16 | |
| 2600 | 2 | |
| 2700 | 1 | |
| 2800 | 2 | |
| 2850 | 1 | |
| 2900 | 2 | |
| 3000 | 80 | |
| 3100 | 1 | |
| 3500 | 29 | |
| 3600 | 4 | |
| 3800 | 2 | |
| 3900 | 1 | |
| 4000 | 69 | |
| 4080 | 1 | |
| 4240 | 1 | |
| 4300 | 1 | |
| 4500 | 22 | |
| 4700 | 2 | |
| 4800 | 3 | |
| 5000 | 106 | |
| 5500 | 3 | |
| 5800 | 1 | |
| 6000 | 100 | |
| 6400 | 2 | |
| 6500 | 8 | |
| 6800 | 2 | |
| 7000 | 59 | |
| 7200 | 1 | |
| 7400 | 2 | |
| 7500 | 6 | |
| 7600 | 1 | |
| 7800 | 2 | |
| 8000 | 62 | |
| 8200 | 1 | |
| 8250 | 1 | |
| 8400 | 4 | |
| 8500 | 3 | |
| 9000 | 30 | |
| 9400 | 1 | |
| 9500 | 4 | |
| 10000 | 99 | |
| 10400 | 1 | |
| 10500 | 1 | |
| 10600 | 1 | |
| 10700 | 1 | |
| 11000 | 2 | |
| 11200 | 1 | |
| 11300 | 1 | |
| 11500 | 1 | |
| 12000 | 28 | |
| 12246 | 1 | |
| 12400 | 1 | |
| 13000 | 8 | |
| 13500 | 1 | |
| 14000 | 15 | |
| 14500 | 2 | |
| 14800 | 1 | |
| 15000 | 47 | |
| 15800 | 1 | |
| 16000 | 7 | |
| 16500 | 1 | |
| 17000 | 9 | |
| 17500 | 1 | |
| 18000 | 12 | |
| 18200 | 1 | |
| 19000 | 1 | |
| 20000 | 39 | |
| 21000 | 1 | |
| 22000 | 5 | |
| 22200 | 1 | |
| 23000 | 2 | |
| 25000 | 16 | |
| 27000 | 4 | |
| 28000 | 1 | |
| 30000 | 20 | |
| 32000 | 1 | |
| 35000 | 4 | |
| 36000 | 1 | |
| 40000 | 4 | |
| 48000 | 1 | |
| 50000 | 2 | |
| 55000 | 1 | |
| 60000 | 1 | |
| 70000 | 1 | |
| 80000 | 1 | |
| 108000 | 108.000 PHP per month | 1 |
| 999990 | NAP, other countries | 47441 |
| 999997 | Refused | 40 |
| 999998 | DK | 52 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1108 | 47533 |
Valid range from 0 to 108000
pl_inc Family income: Poland
| Value 171121 | Frequency | |
|---|---|---|
| 150 | 150 PLN per month | 1 |
| 160 | 2 | |
| 200 | 4 | |
| 260 | 1 | |
| 300 | 5 | |
| 350 | 1 | |
| 400 | 1 | |
| 415 | 1 | |
| 430 | 1 | |
| 444 | 2 | |
| 450 | 1 | |
| 480 | 1 | |
| 495 | 1 | |
| 500 | 7 | |
| 520 | 3 | |
| 522 | 1 | |
| 525 | 2 | |
| 526 | 2 | |
| 540 | 2 | |
| 550 | 2 | |
| 559 | 1 | |
| 560 | 1 | |
| 569 | 1 | |
| 580 | 2 | |
| 590 | 1 | |
| 600 | 7 | |
| 630 | 1 | |
| 650 | 3 | |
| 670 | 5 | |
| 680 | 1 | |
| 688 | 1 | |
| 693 | 1 | |
| 700 | 14 | |
| 710 | 1 | |
| 715 | 1 | |
| 720 | 3 | |
| 730 | 3 | |
| 735 | 1 | |
| 740 | 3 | |
| 750 | 3 | |
| 760 | 1 | |
| 780 | 1 | |
| 794 | 1 | |
| 800 | 8 | |
| 816 | 1 | |
| 820 | 1 | |
| 826 | 1 | |
| 830 | 1 | |
| 840 | 1 | |
| 850 | 2 | |
| 860 | 2 | |
| 865 | 1 | |
| 880 | 1 | |
| 890 | 2 | |
| 900 | 10 | |
| 901 | 1 | |
| 903 | 1 | |
| 920 | 2 | |
| 940 | 1 | |
| 950 | 2 | |
| 966 | 1 | |
| 984 | 1 | |
| 997 | 1 | |
| 1000 | 37 | |
| 1010 | 1 | |
| 1023 | 1 | |
| 1040 | 1 | |
| 1050 | 4 | |
| 1068 | 1 | |
| 1080 | 1 | |
| 1090 | 1 | |
| 1100 | 18 | |
| 1110 | 1 | |
| 1140 | 2 | |
| 1155 | 1 | |
| 1170 | 1 | |
| 1187 | 1 | |
| 1200 | 37 | |
| 1222 | 1 | |
| 1231 | 1 | |
| 1238 | 1 | |
| 1240 | 1 | |
| 1250 | 3 | |
| 1260 | 2 | |
| 1270 | 1 | |
| 1300 | 21 | |
| 1320 | 3 | |
| 1330 | 1 | |
| 1335 | 1 | |
| 1340 | 2 | |
| 1350 | 4 | |
| 1370 | 2 | |
| 1384 | 1 | |
| 1385 | 1 | |
| 1390 | 1 | |
| 1400 | 19 | |
| 1409 | 1 | |
| 1410 | 1 | |
| 1440 | 1 | |
| 1450 | 1 | |
| 1470 | 1 | |
| 1500 | 45 | |
| 1510 | 1 | |
| 1520 | 1 | |
| 1528 | 1 | |
| 1530 | 1 | |
| 1540 | 1 | |
| 1542 | 1 | |
| 1545 | 1 | |
| 1596 | 1 | |
| 1600 | 20 | |
| 1640 | 1 | |
| 1645 | 1 | |
| 1650 | 6 | |
| 1655 | 1 | |
| 1670 | 1 | |
| 1700 | 25 | |
| 1726 | 1 | |
| 1730 | 1 | |
| 1734 | 1 | |
| 1750 | 2 | |
| 1760 | 2 | |
| 1780 | 1 | |
| 1790 | 1 | |
| 1800 | 34 | |
| 1819 | 1 | |
| 1822 | 1 | |
| 1830 | 2 | |
| 1845 | 1 | |
| 1850 | 1 | |
| 1880 | 1 | |
| 1890 | 1 | |
| 1900 | 5 | |
| 1920 | 2 | |
| 1950 | 2 | |
| 1960 | 1 | |
| 1970 | 1 | |
| 2000 | 104 | |
| 2052 | 1 | |
| 2070 | 1 | |
| 2080 | 1 | |
| 2090 | 1 | |
| 2100 | 10 | |
| 2130 | 1 | |
| 2150 | 1 | |
| 2160 | 1 | |
| 2200 | 24 | |
| 2300 | 16 | |
| 2316 | 1 | |
| 2358 | 1 | |
| 2400 | 12 | |
| 2418 | 1 | |
| 2440 | 1 | |
| 2450 | 1 | |
| 2500 | 65 | |
| 2520 | 1 | |
| 2532 | 1 | |
| 2544 | 1 | |
| 2600 | 9 | |
| 2620 | 1 | |
| 2673 | 1 | |
| 2700 | 15 | |
| 2730 | 1 | |
| 2800 | 15 | |
| 2850 | 1 | |
| 2854 | 1 | |
| 2870 | 1 | |
| 2900 | 8 | |
| 3000 | 92 | |
| 3080 | 1 | |
| 3100 | 3 | |
| 3200 | 11 | |
| 3300 | 4 | |
| 3370 | 1 | |
| 3400 | 4 | |
| 3450 | 1 | |
| 3470 | 1 | |
| 3500 | 39 | |
| 3600 | 6 | |
| 3630 | 1 | |
| 3650 | 1 | |
| 3700 | 4 | |
| 3800 | 6 | |
| 3820 | 1 | |
| 3900 | 1 | |
| 4000 | 50 | |
| 4300 | 4 | |
| 4400 | 1 | |
| 4500 | 17 | |
| 4600 | 2 | |
| 4700 | 5 | |
| 4800 | 1 | |
| 4900 | 1 | |
| 5000 | 38 | |
| 5170 | 1 | |
| 5200 | 3 | |
| 5300 | 1 | |
| 5500 | 7 | |
| 5700 | 1 | |
| 6000 | 19 | |
| 6500 | 3 | |
| 7000 | 13 | |
| 7500 | 2 | |
| 8000 | 9 | |
| 8500 | 1 | |
| 9000 | 6 | |
| 10000 | 5 | |
| 10500 | 1 | |
| 13500 | 1 | |
| 15000 | 2 | |
| 16400 | 1 | |
| 20000 | 20.000 PLN per month | 2 |
| 999990 | NAP, other countries | 47348 |
| 999998 | DK | 57 |
| 999999 | NA,refused | 75 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1161 | 47480 |
Valid range from 150 to 20000
pt_inc Family income: Portugal
| Value 172120 | Frequency | |
|---|---|---|
| 175 | Less than 350 EUR per month | 97 |
| 425 | 351-500 EUR | 201 |
| 650 | 501-800 EUR | 278 |
| 1150 | 801-1.500 EUR | 353 |
| 2000 | 1.501-2.500 EUR | 135 |
| 3000 | More than 2.500 EUR per month | 68 |
| 999990 | NAP, other countries | 46804 |
| 999997 | Refused | 486 |
| 999998 | DK | 219 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1132 | 47509 |
Valid range from 175 to 3000
ru_inc Family income: Russia
| Value 173119 | Frequency | |
|---|---|---|
| 1000 | 1.000 RUB | 2 |
| 1100 | 1 | |
| 1300 | 1 | |
| 1400 | 2 | |
| 1442 | 1 | |
| 1450 | 1 | |
| 1460 | 1 | |
| 1486 | 1 | |
| 1500 | 5 | |
| 1600 | 5 | |
| 1700 | 2 | |
| 1800 | 5 | |
| 1900 | 4 | |
| 1990 | 1 | |
| 2000 | 14 | |
| 2100 | 5 | |
| 2130 | 2 | |
| 2180 | 1 | |
| 2200 | 6 | |
| 2300 | 5 | |
| 2340 | 1 | |
| 2400 | 3 | |
| 2450 | 1 | |
| 2500 | 18 | |
| 2600 | 5 | |
| 2620 | 1 | |
| 2644 | 1 | |
| 2681 | 1 | |
| 2700 | 9 | |
| 2744 | 1 | |
| 2770 | 1 | |
| 2800 | 11 | |
| 2816 | 1 | |
| 2830 | 1 | |
| 2900 | 4 | |
| 2910 | 1 | |
| 2950 | 1 | |
| 2980 | 1 | |
| 3000 | 58 | |
| 3049 | 1 | |
| 3050 | 1 | |
| 3100 | 8 | |
| 3126 | 1 | |
| 3150 | 1 | |
| 3158 | 1 | |
| 3200 | 14 | |
| 3250 | 1 | |
| 3270 | 1 | |
| 3280 | 1 | |
| 3300 | 7 | |
| 3345 | 1 | |
| 3360 | 1 | |
| 3400 | 5 | |
| 3440 | 1 | |
| 3450 | 1 | |
| 3500 | 25 | |
| 3600 | 6 | |
| 3628 | 1 | |
| 3652 | 1 | |
| 3700 | 7 | |
| 3750 | 1 | |
| 3800 | 6 | |
| 3840 | 1 | |
| 3900 | 7 | |
| 4000 | 41 | |
| 4100 | 3 | |
| 4150 | 1 | |
| 4165 | 1 | |
| 4200 | 8 | |
| 4222 | 1 | |
| 4238 | 1 | |
| 4300 | 3 | |
| 4380 | 2 | |
| 4400 | 5 | |
| 4430 | 1 | |
| 4500 | 23 | |
| 4534 | 1 | |
| 4560 | 1 | |
| 4600 | 5 | |
| 4650 | 3 | |
| 4700 | 5 | |
| 4750 | 2 | |
| 4800 | 5 | |
| 4830 | 1 | |
| 4850 | 1 | |
| 4900 | 2 | |
| 5000 | 73 | |
| 5100 | 5 | |
| 5120 | 1 | |
| 5140 | 1 | |
| 5150 | 1 | |
| 5180 | 1 | |
| 5200 | 6 | |
| 5300 | 3 | |
| 5400 | 2 | |
| 5440 | 1 | |
| 5500 | 18 | |
| 5600 | 6 | |
| 5650 | 1 | |
| 5660 | 1 | |
| 5670 | 1 | |
| 5700 | 2 | |
| 5800 | 3 | |
| 5900 | 7 | |
| 5950 | 1 | |
| 5980 | 1 | |
| 6000 | 89 | |
| 6060 | 1 | |
| 6100 | 5 | |
| 6200 | 6 | |
| 6242 | 1 | |
| 6300 | 3 | |
| 6400 | 2 | |
| 6500 | 13 | |
| 6600 | 3 | |
| 6700 | 2 | |
| 6800 | 5 | |
| 6900 | 1 | |
| 7000 | 69 | |
| 7100 | 3 | |
| 7170 | 1 | |
| 7200 | 4 | |
| 7270 | 1 | |
| 7300 | 4 | |
| 7500 | 16 | |
| 7600 | 3 | |
| 7700 | 2 | |
| 7800 | 2 | |
| 8000 | 73 | |
| 8100 | 2 | |
| 8140 | 1 | |
| 8160 | 1 | |
| 8200 | 2 | |
| 8300 | 3 | |
| 8400 | 3 | |
| 8500 | 23 | |
| 8600 | 3 | |
| 8669 | 1 | |
| 8700 | 3 | |
| 8800 | 5 | |
| 8900 | 4 | |
| 9000 | 64 | |
| 9150 | 2 | |
| 9200 | 2 | |
| 9300 | 3 | |
| 9400 | 1 | |
| 9500 | 10 | |
| 9620 | 1 | |
| 9800 | 3 | |
| 9900 | 1 | |
| 10000 | 121 | |
| 10070 | 2 | |
| 10080 | 1 | |
| 10100 | 1 | |
| 10140 | 1 | |
| 10200 | 1 | |
| 10360 | 1 | |
| 10500 | 6 | |
| 10600 | 4 | |
| 10650 | 1 | |
| 10700 | 1 | |
| 11000 | 35 | |
| 11100 | 1 | |
| 11120 | 1 | |
| 11250 | 1 | |
| 11273 | 1 | |
| 11300 | 2 | |
| 11500 | 4 | |
| 12000 | 83 | |
| 12084 | 1 | |
| 12100 | 2 | |
| 12168 | 1 | |
| 12200 | 3 | |
| 12400 | 1 | |
| 12500 | 10 | |
| 12600 | 1 | |
| 12700 | 1 | |
| 12800 | 3 | |
| 13000 | 48 | |
| 13200 | 1 | |
| 13300 | 1 | |
| 13400 | 2 | |
| 13500 | 3 | |
| 13600 | 1 | |
| 13800 | 1 | |
| 14000 | 50 | |
| 14084 | 1 | |
| 14200 | 1 | |
| 14260 | 1 | |
| 14500 | 3 | |
| 14530 | 1 | |
| 14800 | 2 | |
| 15000 | 102 | |
| 15160 | 1 | |
| 15200 | 1 | |
| 15500 | 3 | |
| 15700 | 1 | |
| 15900 | 1 | |
| 16000 | 48 | |
| 16200 | 2 | |
| 16214 | 1 | |
| 16300 | 2 | |
| 16500 | 4 | |
| 16600 | 1 | |
| 16700 | 1 | |
| 16800 | 2 | |
| 17000 | 30 | |
| 17130 | 1 | |
| 17500 | 3 | |
| 17700 | 1 | |
| 17894 | 1 | |
| 18000 | 41 | |
| 18600 | 1 | |
| 18700 | 1 | |
| 18780 | 1 | |
| 19000 | 20 | |
| 19200 | 1 | |
| 19300 | 1 | |
| 19480 | 1 | |
| 19500 | 1 | |
| 19809 | 1 | |
| 20000 | 97 | |
| 20070 | 1 | |
| 20380 | 1 | |
| 20500 | 1 | |
| 20740 | 1 | |
| 21000 | 8 | |
| 21126 | 1 | |
| 21500 | 2 | |
| 21900 | 1 | |
| 22000 | 20 | |
| 22500 | 1 | |
| 22600 | 1 | |
| 23000 | 18 | |
| 23500 | 1 | |
| 23600 | 1 | |
| 23800 | 1 | |
| 24000 | 9 | |
| 24500 | 1 | |
| 25000 | 49 | |
| 25200 | 1 | |
| 25250 | 1 | |
| 26000 | 17 | |
| 27000 | 16 | |
| 27300 | 1 | |
| 27500 | 1 | |
| 27800 | 1 | |
| 28000 | 11 | |
| 28600 | 1 | |
| 29000 | 6 | |
| 30000 | 72 | |
| 30150 | 1 | |
| 30500 | 1 | |
| 31000 | 4 | |
| 32000 | 7 | |
| 33000 | 3 | |
| 34000 | 4 | |
| 35000 | 21 | |
| 36000 | 6 | |
| 37000 | 2 | |
| 38000 | 3 | |
| 38500 | 1 | |
| 39000 | 1 | |
| 40000 | 21 | |
| 41000 | 1 | |
| 41200 | 1 | |
| 42000 | 6 | |
| 42500 | 2 | |
| 43000 | 4 | |
| 45000 | 12 | |
| 48000 | 1 | |
| 50000 | 18 | |
| 52000 | 1 | |
| 53000 | 2 | |
| 54000 | 1 | |
| 55000 | 1 | |
| 56000 | 1 | |
| 60000 | 6 | |
| 62000 | 2 | |
| 66000 | 1 | |
| 67000 | 1 | |
| 68000 | 1 | |
| 70000 | 1 | |
| 75000 | 2 | |
| 80000 | 4 | |
| 81500 | 1 | |
| 90000 | 1 | |
| 95000 | 1 | |
| 100000 | 4 | |
| 110000 | 1 | |
| 150000 | 2 | |
| 190000 | 2 | |
| 300000 | 300.000 RUB | 1 |
| 999990 | NAP, other countries | 46234 |
| 999998 | DK | 241 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2166 | 46475 |
Valid range from 1000 to 300000
se_inc Family income: Sweden
| Value 174118 | Frequency | |
|---|---|---|
| 0 | No income | 8 |
| 3000 | 3.000 SEK per month | 1 |
| 5000 | 5 | |
| 6000 | 2 | |
| 7000 | 12 | |
| 8000 | 6 | |
| 9000 | 11 | |
| 10000 | 17 | |
| 11000 | 11 | |
| 12000 | 8 | |
| 13000 | 8 | |
| 14000 | 14 | |
| 15000 | 15 | |
| 16000 | 21 | |
| 17000 | 22 | |
| 18000 | 27 | |
| 19000 | 18 | |
| 20000 | 38 | |
| 21000 | 14 | |
| 22000 | 23 | |
| 23000 | 16 | |
| 24000 | 26 | |
| 25000 | 41 | |
| 26000 | 11 | |
| 27000 | 15 | |
| 28000 | 26 | |
| 29000 | 10 | |
| 30000 | 44 | |
| 31000 | 7 | |
| 32000 | 19 | |
| 33000 | 18 | |
| 34000 | 11 | |
| 35000 | 38 | |
| 36000 | 13 | |
| 37000 | 15 | |
| 38000 | 25 | |
| 39000 | 9 | |
| 40000 | 56 | |
| 41000 | 7 | |
| 42000 | 20 | |
| 43000 | 12 | |
| 44000 | 13 | |
| 45000 | 32 | |
| 46000 | 8 | |
| 47000 | 7 | |
| 48000 | 15 | |
| 49000 | 5 | |
| 50000 | 52 | |
| 51000 | 6 | |
| 52000 | 6 | |
| 53000 | 3 | |
| 54000 | 7 | |
| 55000 | 24 | |
| 56000 | 5 | |
| 57000 | 5 | |
| 58000 | 7 | |
| 59000 | 1 | |
| 60000 | 26 | |
| 61000 | 2 | |
| 62000 | 4 | |
| 63000 | 5 | |
| 64000 | 2 | |
| 65000 | 15 | |
| 66000 | 1 | |
| 68000 | 3 | |
| 69000 | 2 | |
| 70000 | 14 | |
| 71000 | 1 | |
| 73000 | 2 | |
| 74000 | 1 | |
| 75000 | 4 | |
| 76000 | 1 | |
| 77000 | 1 | |
| 78000 | 1 | |
| 80000 | 9 | |
| 85000 | 6 | |
| 86000 | 1 | |
| 89000 | 1 | |
| 90000 | 5 | |
| 95000 | 1 | |
| 96000 | 1 | |
| 100000 | 3 | |
| 105000 | 1 | |
| 110000 | 2 | |
| 113000 | 1 | |
| 120000 | 1 | |
| 125000 | 2 | |
| 145000 | 1 | |
| 150000 | 150.000 SEK per month | 1 |
| 999990 | NAP, other countries | 47447 |
| 999999 | NA | 157 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1037 | 47604 |
Valid range from 0 to 150000
si_inc Family income: Slovenia
| Value 175117 | Frequency | |
|---|---|---|
| 0 | No income | 4 |
| 40000 | 40.000 SIT per month | 2 |
| 43000 | 1 | |
| 48000 | 2 | |
| 49000 | 1 | |
| 50000 | 2 | |
| 60000 | 2 | |
| 62000 | 1 | |
| 70000 | 3 | |
| 75000 | 3 | |
| 78000 | 1 | |
| 80000 | 7 | |
| 82000 | 1 | |
| 83000 | 2 | |
| 86000 | 1 | |
| 87000 | 1 | |
| 88000 | 1 | |
| 90000 | 4 | |
| 94000 | 1 | |
| 100000 | 12 | |
| 104000 | 1 | |
| 109000 | 1 | |
| 110000 | 2 | |
| 118000 | 1 | |
| 119000 | 1 | |
| 120000 | 12 | |
| 125000 | 1 | |
| 128000 | 1 | |
| 130000 | 1 | |
| 135000 | 1 | |
| 140000 | 5 | |
| 150000 | 21 | |
| 152000 | 1 | |
| 160000 | 4 | |
| 162000 | 1 | |
| 164000 | 1 | |
| 167000 | 1 | |
| 170000 | 6 | |
| 174000 | 1 | |
| 180000 | 10 | |
| 187000 | 1 | |
| 190000 | 4 | |
| 192000 | 1 | |
| 194000 | 1 | |
| 200000 | 26 | |
| 210000 | 7 | |
| 212000 | 1 | |
| 215000 | 1 | |
| 220000 | 11 | |
| 230000 | 10 | |
| 240000 | 11 | |
| 250000 | 27 | |
| 260000 | 7 | |
| 270000 | 5 | |
| 280000 | 10 | |
| 290000 | 1 | |
| 300000 | 57 | |
| 310000 | 1 | |
| 320000 | 2 | |
| 322000 | 1 | |
| 330000 | 5 | |
| 350000 | 22 | |
| 360000 | 4 | |
| 370000 | 2 | |
| 380000 | 6 | |
| 390000 | 1 | |
| 400000 | 38 | |
| 420000 | 2 | |
| 430000 | 2 | |
| 450000 | 13 | |
| 470000 | 2 | |
| 480000 | 1 | |
| 500000 | 45 | |
| 520000 | 1 | |
| 530000 | 1 | |
| 535000 | 1 | |
| 550000 | 9 | |
| 560000 | 1 | |
| 600000 | 14 | |
| 630000 | 2 | |
| 650000 | 3 | |
| 700000 | 9 | |
| 750000 | 3 | |
| 800000 | 8 | |
| 900000 | 1 | |
| 988000 | 1 | |
| 1000000 | 1.000.000 SIT and more per month | 14 |
| 9999990 | NAP, other countries | 47638 |
| 9999998 | DK | 211 |
| 9999999 | NA | 271 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 521 | 48120 |
Valid range from 0 to 1000000
tw_inc Family income: Taiwan
| Value 176116 | Frequency | |
|---|---|---|
| 0 | No income | 22 |
| 5000 | Less than 10.000 TWD per month | 101 |
| 15000 | 10.001-20.000 TWD | 130 |
| 25000 | 20.001-30.000 TWD | 168 |
| 35000 | 30.001-40.000 TWD | 177 |
| 45000 | 40.001-50.000 TWD | 209 |
| 55000 | 50.001-60.000 TWD | 188 |
| 65000 | 60.001-70.000 TWD | 155 |
| 75000 | 70.001-80.000 TWD | 122 |
| 85000 | 80.001-90.000 TWD | 93 |
| 95000 | 90.001-100.000 TWD | 129 |
| 105000 | 100.001-110.000 TWD | 73 |
| 115000 | 110.001-120.000 TWD | 45 |
| 125000 | 120.001-130.000 TWD | 27 |
| 135000 | 130.001-140.000 TWD | 30 |
| 145000 | 140.001-150.000 TWD | 24 |
| 155000 | 150.001-160.000 TWD | 38 |
| 165000 | 160.001-170.000 TWD | 12 |
| 175000 | 170.001-180.000 TWD | 11 |
| 185000 | 180.001-190.000 TWD | 5 |
| 195000 | 190.001-200.000 TWD | 28 |
| 250000 | 200.001-300.000 TWD | 30 |
| 350000 | 300.001-400.000 TWD | 8 |
| 450000 | 400.001-500.000 TWD | 9 |
| 750000 | 500.001-1.000.000 TWD | 7 |
| 1250000 | More than 1.000.000 TWD per month | 4 |
| 9999990 | NAP, other countries | 46669 |
| 9999997 | Refused | 32 |
| 9999998 | DK | 91 |
| 9999999 | NA | 4 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1845 | 46796 |
Valid range from 0 to 1250000
us_inc Family income: USA
| Value 177115 | Frequency | |
|---|---|---|
| 500 | Under 1.000 USD per year | 16 |
| 2000 | 1.000-2.999 USD | 11 |
| 3500 | 3.000-3.999 USD | 7 |
| 4500 | 4.000-4.999 USD | 7 |
| 5500 | 5.000-5.999 USD | 11 |
| 6500 | 6.000-6.999 USD | 17 |
| 7500 | 7.000-7.999 USD | 12 |
| 9000 | 8.000-9.999 USD | 27 |
| 11250 | 10.000-12499 USD | 47 |
| 13750 | 12.500-14.999 USD | 45 |
| 16750 | 15.000-17.499 USD | 38 |
| 18750 | 17.500-19.999 USD | 37 |
| 21750 | 20.000-22.499 USD | 57 |
| 23750 | 22.500-24.999 USD | 45 |
| 27500 | 25.000-29.999 USD | 83 |
| 32500 | 30.000-34.999 USD | 74 |
| 37500 | 35.000-39.999 USD | 80 |
| 45000 | 40.000-49.999 USD | 132 |
| 55000 | 50.000-59.999 USD | 106 |
| 67500 | 60.000-74.999 USD | 111 |
| 82500 | 75.000-89.999 USD | 96 |
| 100000 | 90.000-109.999 USD | 80 |
| 120000 | 110.000-129.999 USD | 56 |
| 140000 | 130.000-149.999 USD | 26 |
| 160000 | 150.000 USD or over per year | 74 |
| 999990 | NAP, other countries | 47123 |
| 999997 | Refused | 157 |
| 999998 | DK | 66 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1295 | 47346 |
Valid range from 500 to 160000
uy_inc Family income: Uruguay
| Value 178114 | Frequency | |
|---|---|---|
| 2000 | Less than 3.000 UYP per month | 183 |
| 4500 | 3.000-5.999 UYP | 197 |
| 6700 | 6.000-7.499 UYP | 115 |
| 8000 | 7.500-9.499 UYP | 89 |
| 10500 | 9.500-11.499 UYP | 83 |
| 12500 | 11.500-13.499 UYP | 69 |
| 15000 | 13.500-16.499 UYP | 56 |
| 18500 | 16.500-20.499 UYP | 54 |
| 23500 | 20.500-26.499 UYP | 45 |
| 32750 | 26.500-39.999 UYP | 42 |
| 50000 | 40.000-59.999 UYP | 27 |
| 70000 | 60.000-79.999 UYP | 8 |
| 90000 | 80.000 UYP and more per month | 5 |
| 999990 | NAP, other countries | 47610 |
| 999997 | Refused | 58 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 973 | 47668 |
Valid range from 2000 to 90000
ve_inc Family income: Venezuela
| Value 179113 | Frequency | |
|---|---|---|
| 0 | No income | 7 |
| 20000 | 20.000 VEB | 2 |
| 50000 | 2 | |
| 60000 | 1 | |
| 80000 | 3 | |
| 100000 | 17 | |
| 120000 | 3 | |
| 150000 | 4 | |
| 160000 | 2 | |
| 180000 | 4 | |
| 190000 | 1 | |
| 200000 | 35 | |
| 210000 | 1 | |
| 220000 | 1 | |
| 230000 | 1 | |
| 250000 | 14 | |
| 260000 | 1 | |
| 280000 | 2 | |
| 290000 | 1 | |
| 300000 | 41 | |
| 320000 | 3 | |
| 350000 | 7 | |
| 360000 | 1 | |
| 380000 | 1 | |
| 400000 | 41 | |
| 405000 | 1 | |
| 410000 | 2 | |
| 440000 | 2 | |
| 450000 | 13 | |
| 460000 | 3 | |
| 466000 | 1 | |
| 468000 | 1 | |
| 470000 | 1 | |
| 480000 | 9 | |
| 500000 | 57 | |
| 502000 | 1 | |
| 510000 | 2 | |
| 511000 | 1 | |
| 512000 | 87 | |
| 513000 | 1 | |
| 514000 | 1 | |
| 520000 | 9 | |
| 530000 | 1 | |
| 536000 | 1 | |
| 545000 | 2 | |
| 550000 | 4 | |
| 560000 | 6 | |
| 580000 | 2 | |
| 590000 | 1 | |
| 600000 | 76 | |
| 612000 | 1 | |
| 630000 | 1 | |
| 650000 | 5 | |
| 676000 | 1 | |
| 680000 | 2 | |
| 696000 | 1 | |
| 700000 | 35 | |
| 712000 | 1 | |
| 720000 | 3 | |
| 750000 | 2 | |
| 760000 | 2 | |
| 765000 | 1 | |
| 800000 | 93 | |
| 802000 | 1 | |
| 820000 | 2 | |
| 840000 | 1 | |
| 850000 | 3 | |
| 877000 | 1 | |
| 900000 | 18 | |
| 930000 | 1 | |
| 940000 | 1 | |
| 950000 | 1 | |
| 980000 | 1 | |
| 1000000 | 96 | |
| 1010000 | 1 | |
| 1024000 | 15 | |
| 1040000 | 1 | |
| 1050000 | 1 | |
| 1080000 | 2 | |
| 1100000 | 7 | |
| 1112000 | 1 | |
| 1116000 | 1 | |
| 1120000 | 1 | |
| 1135000 | 1 | |
| 1200000 | 48 | |
| 1300000 | 7 | |
| 1312000 | 1 | |
| 1320000 | 1 | |
| 1400000 | 15 | |
| 1500000 | 58 | |
| 1520000 | 1 | |
| 1536000 | 5 | |
| 1540000 | 1 | |
| 1600000 | 16 | |
| 1700000 | 4 | |
| 1800000 | 16 | |
| 1820000 | 1 | |
| 1850000 | 1 | |
| 2000000 | 55 | |
| 2008000 | 1 | |
| 2100000 | 1 | |
| 2200000 | 4 | |
| 2300000 | 6 | |
| 2400000 | 2 | |
| 2500000 | 16 | |
| 2600000 | 2 | |
| 2700000 | 2 | |
| 2800000 | 1 | |
| 3000000 | 21 | |
| 3100000 | 2 | |
| 3150000 | 1 | |
| 3200000 | 1 | |
| 3300000 | 1 | |
| 3500000 | 2 | |
| 3600000 | 2 | |
| 3630000 | 1 | |
| 3800000 | 1 | |
| 4000000 | 11 | |
| 4450000 | 1 | |
| 4500000 | 2 | |
| 4800000 | 2 | |
| 5000000 | 10 | |
| 5160000 | 1 | |
| 5500000 | 1 | |
| 6000000 | 2 | |
| 7000000 | 1 | |
| 7500000 | 1 | |
| 8000000 | 5 | |
| 10000000 | 2 | |
| 11000000 | 2 | |
| 11200000 | 1 | |
| 12000000 | 1 | |
| 16000000 | 1 | |
| 20000000 | 20.000.000 VEB | 1 |
| 99999990 | NAP, other countries | 47441 |
| 99999997 | Refused | 1 |
| 99999998 | DK | 37 |
| 99999999 | NA | 34 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1128 | 47513 |
Valid range from 0 to 20000000
za_inc Family income: South Africa
| Value 180112 | Frequency | |
|---|---|---|
| 0 | No income | 43 |
| 250 | 500 ZAR and less per month | 189 |
| 625 | 501 ? 750 ZAR | 195 |
| 875 | 751 ? 1.000 ZAR | 399 |
| 1250 | 1.001- 1.500 ZAR | 307 |
| 1750 | 1.501 ? 2.000 ZAR | 270 |
| 2500 | 2.001 ? 3.000 ZAR | 200 |
| 4000 | 3.001 ? 5.000 ZAR | 175 |
| 6250 | 5.001 ? 7.500 ZAR | 139 |
| 8750 | 7.501 ? 10.000 ZAR | 128 |
| 12500 | 10.001 ? 15.000 ZAR | 80 |
| 17500 | 15.001 ? 20.000 ZAR | 59 |
| 25000 | 20.001 ? 30.000 ZAR | 26 |
| 35000 | More than 30.000 ZAR per month | 25 |
| 999990 | NAP, other countries | 45702 |
| 999997 | Refused | 278 |
| 999998 | DK | 390 |
| 999999 | NA | 36 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2235 | 46406 |
Valid range from 0 to 35000
hompop How many persons in household
| Value 181111 | Frequency | |
|---|---|---|
| 1 | 1 person | 7080 |
| 2 | 2 persons | 13512 |
| 3 | 3 persons | 9039 |
| 4 | 4 persons | 9380 |
| 5 | 5 persons | 4666 |
| 6 | 6 persons | 2159 |
| 7 | 7 persons | 993 |
| 8 | 8 persons, SE:8 or more | 575 |
| 9 | 9 persons | 277 |
| 10 | 10 persons | 166 |
| 11 | 11 persons | 95 |
| 12 | 12 persons | 57 |
| 13 | 13 persons, DK:13 or more | 40 |
| 14 | 14 persons | 27 |
| 15 | 15 persons | 15 |
| 16 | 16 persons | 15 |
| 17 | 17 persons | 7 |
| 18 | 18 persons | 3 |
| 19 | 19 persons | 1 |
| 20 | 20 persons | 1 |
| 23 | 23 persons | 2 |
| 27 | 27 persons | 1 |
| 34 | 34 persons | 1 |
| 36 | 36 persons | 1 |
| 99 | NA, refused | 528 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48113 | 528 |
Valid range from 1 to 36
hhcycle Household composition:children+adults
| Value 182110 | Frequency | |
|---|---|---|
| 1 | Single household | 7055 |
| 2 | 1 adult,1 child | 749 |
| 3 | 1 adult,2 child | 528 |
| 4 | 1 adult,3 or > ch | 317 |
| 5 | 2 adults | 12079 |
| 6 | 2 adults,1 child | 4086 |
| 7 | 2 adults,2 child | 4447 |
| 8 | 2 adults,3 or > ch | 2409 |
| 9 | 3 adults | 4261 |
| 10 | 3 adults+children | 3657 |
| 11 | 4 adults | 2461 |
| 12 | 4 adults+ children | 2197 |
| 13 | 5 adults | 813 |
| 14 | 5 adults+children | 857 |
| 15 | 6 adults | 237 |
| 16 | 6 adults+children | 374 |
| 17 | 7 adults | 58 |
| 18 | 7 adults+children | 146 |
| 19 | 8 adults | 27 |
| 20 | 8 adults+children | 69 |
| 21 | 9 adults | 7 |
| 22 | 9 adults+children | 23 |
| 23 | 10 adults | 2 |
| 24 | 10 adults+children | 13 |
| 25 | 11 adults | 1 |
| 26 | 11 adults+children | 3 |
| 27 | 12 adults | 0 |
| 28 | 12 adults+children | 5 |
| 95 | Other | 47 |
| 99 | NA,refused | 1713 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46928 | 1713 |
Valid range from 1 to 95
party_lr R: Party affiliation: left-right (derived)
| Value 183109 | Frequency | |
|---|---|---|
| 1 | Far left etc | 1693 |
| 2 | Left,center left | 8729 |
| 3 | Center,liberal | 8978 |
| 4 | Right,conservative | 7429 |
| 5 | Far right etc | 1342 |
| 6 | Other,no specific | 618 |
| 7 | No party preference | 9319 |
| 0 | NAP,didnt vote,not eligible;not available:IL,TW | 3935 |
| 8 | Dont know,UY:cant choose | 2995 |
| 9 | No answer,refused | 3603 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 38108 | 10533 |
Valid range from 1 to 7
au_prty R: Party affiliation: Australia
| Value 184108 | Frequency | |
|---|---|---|
| 1 | Liberal Party | 883 |
| 2 | Labour Party-ALP | 890 |
| 3 | National Party | 102 |
| 4 | Australian Democrats | 46 |
| 5 | Greens | 127 |
| 6 | One Nation | 31 |
| 7 | Family First | 36 |
| 95 | Other Party | 9 |
| 96 | No party preference | 567 |
| 0 | NAP, other countries | 45860 |
| 99 | NA | 90 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2691 | 45950 |
Valid range from 1 to 96
ca_prty R: Party affiliation: Canada
| Value 185107 | Frequency | |
|---|---|---|
| 1 | Conservatives | 277 |
| 2 | Liberal | 239 |
| 3 | New Democrats | 88 |
| 4 | Bloc Quebecois | 60 |
| 95 | Other party | 27 |
| 96 | No party | 201 |
| 0 | NAP, other countries | 47708 |
| 97 | Refused | 1 |
| 99 | NA | 40 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 892 | 47749 |
Valid range from 1 to 96
ch_prty R: Party affiliation: Switzerland
| Value 186106 | Frequency | |
|---|---|---|
| 1 | Christian Democratic Party | 80 |
| 2 | Evangelical Peoples Party | 12 |
| 3 | Radical Party | 92 |
| 4 | Social Democratic Party | 143 |
| 5 | Swiss Peoples Party | 128 |
| 6 | Independent Party | 0 |
| 7 | Liberal Party | 23 |
| 8 | Labour Party | 5 |
| 9 | Swiss Democrats | 3 |
| 10 | Green Party | 72 |
| 11 | Freedom Party | 1 |
| 95 | Other Party | 16 |
| 96 | No party preference | 384 |
| 0 | NAP, other countries | 47638 |
| 98 | Not interested so much in politics | 44 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 959 | 47682 |
Valid range from 1 to 96
cl_prty R: Party affiliation: Republic Chile
| Value 187105 | Frequency | |
|---|---|---|
| 1 | Christian Democratic | 176 |
| 2 | Independent Democratic | 92 |
| 3 | Communist Party of Chile | 38 |
| 4 | Nation. Renewal Party | 121 |
| 5 | Chilean Socialist Party | 135 |
| 6 | Radical Social Democratic | 9 |
| 7 | Democracy Party PPD | 116 |
| 8 | Humanist Party | 20 |
| 95 | Other Party | 3 |
| 96 | None, no party preference | 733 |
| 0 | NAP, other countries | 47136 |
| 98 | DK | 12 |
| 99 | NA | 50 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1443 | 47198 |
Valid range from 1 to 96
cz_prty R: Party affiliation: Czech Republic
| Value 188104 | Frequency | |
|---|---|---|
| 1 | SZR Party of Common Sense | 5 |
| 2 | CHNJ Czech National Social Party | 0 |
| 3 | BPS Balbin Poetical Party | 1 |
| 4 | LIRA Liberal Reform Party | 0 |
| 5 | PaS Law and Justice | 1 |
| 6 | Independents | 16 |
| 7 | CP Czech Right Wing | 0 |
| 8 | KC Czech Crown (monarchists) | 3 |
| 9 | ODS Civic Democratic Party | 287 |
| 10 | CSSD Czech Social Democratic Party | 167 |
| 11 | SNK European Democrats | 12 |
| 12 | US-DEU Freedom Union-Democratic U | 2 |
| 13 | Helax-Ostrava is having fun | 0 |
| 14 | PB Right-wing Block | 1 |
| 15 | 4VIZE 4 Visions | 0 |
| 16 | CSNS Czech National Social Party | 1 |
| 17 | Moravians | 0 |
| 18 | SZ Green Party | 90 |
| 19 | HS Humanism Party | 0 |
| 20 | KSCM Communist Party of Bohemia and Moravia | 99 |
| 21 | KpCR Coalition for the Czech Republic | 1 |
| 22 | NS National Party | 3 |
| 23 | FiS Folklor and Society | 1 |
| 24 | KDU-CSL Christian Dem-Czech Peoples Party | 61 |
| 25 | ND Independent Democrats | 19 |
| 26 | SRS Equal Opportunities Party | 2 |
| 95 | Other Party | 0 |
| 96 | Would not vote | 141 |
| 0 | NAP, other countries | 47440 |
| 98 | DK | 158 |
| 99 | NA | 130 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 913 | 47728 |
Valid range from 1 to 96
de_prty R: Party affiliation: Germany
| Value 189103 | Frequency | |
|---|---|---|
| 1 | CDU/ CSU | 392 |
| 2 | SPD | 351 |
| 3 | FDP | 126 |
| 4 | Buendnis 90/Gruene | 91 |
| 5 | NPD | 10 |
| 6 | DKP | 0 |
| 7 | Republikaner | 9 |
| 8 | PDS/Linke Liste | 110 |
| 94 | Not eligible | 101 |
| 95 | Other Party | 19 |
| 96 | Would not vote | 199 |
| 0 | NAP, other countries | 46998 |
| 97 | Refused | 64 |
| 98 | DK | 171 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1408 | 47233 |
Valid range from 1 to 96
dk_prty R: Party affiliation: Denmark
| Value 190102 | Frequency | |
|---|---|---|
| 1 | Social Democratic Party | 301 |
| 2 | Radical Liberal Party | 83 |
| 3 | Conservative Peoples Party | 131 |
| 4 | Socialist Peoples Party | 193 |
| 5 | Christian Peoples Party | 11 |
| 6 | Danish Peoples Party | 125 |
| 7 | Liberal Party | 301 |
| 8 | New Alliance | 40 |
| 9 | Leftwing Alliance | 25 |
| 94 | Voted blank | 7 |
| 95 | Other Party | 3 |
| 0 | NAP, other countries | 47273 |
| 96 | Did not vote | 95 |
| 98 | DK | 36 |
| 99 | NA | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1220 | 47421 |
Valid range from 1 to 95
do_prty R: Party affiliation: Dominican Republic
| Value 191101 | Frequency | |
|---|---|---|
| 1 | PRD Revolutionary Dominican Party | 329 |
| 2 | PLD Dominican Liberation Party | 782 |
| 3 | PRSC Christian Socialist Party | 99 |
| 95 | Other Party | 10 |
| 96 | No party affiliation or support | 801 |
| 0 | NAP, other countries | 46535 |
| 99 | NA | 85 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2021 | 46620 |
Valid range from 1 to 96
es_prty R: Party affiliation: Spain
| Value 192100 | Frequency | |
|---|---|---|
| 1 | PSOE Spanish Socialist Party | 778 |
| 2 | PP Popular Party | 457 |
| 3 | IU United Left, ICV in Catalonia | 75 |
| 4 | CIU Convergence and Union | 46 |
| 5 | ERC Catalonian Republican Left | 32 |
| 6 | PNV Basque Nationalist Party | 17 |
| 7 | BNG Galician Nationalist Bloque | 12 |
| 8 | CC Canary Islands Coalition | 7 |
| 9 | EA Basque Union | 2 |
| 10 | CHA Aragon Chunta (council) | 3 |
| 11 | Na-Bai Navarra-Yes | 2 |
| 94 | Vote blank | 60 |
| 95 | Other Party | 25 |
| 0 | NAP, other countries | 46124 |
| 96 | Did not vote,not eligible | 585 |
| 98 | DK | 113 |
| 99 | NA | 303 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1516 | 47125 |
Valid range from 1 to 95
fi_prty R: Party affiliation: Finland
| Value 19399 | Frequency | |
|---|---|---|
| 1 | Social Democratic Party | 214 |
| 2 | Centre Party of FIN | 171 |
| 3 | Nat Coalition Party | 169 |
| 4 | Left Alliance | 41 |
| 5 | Swedish Peoples Party | 37 |
| 6 | Green League | 79 |
| 7 | Christian Democrats | 29 |
| 8 | True Finns | 30 |
| 95 | Other Party | 6 |
| 96 | Would not vote,no preference | 74 |
| 0 | NAP, other countries | 47452 |
| 97 | Refused | 90 |
| 98 | DK | 223 |
| 99 | NA | 26 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 850 | 47791 |
Valid range from 1 to 96
fr_prty R: Party affiliation: France
| Value 19498 | Frequency | |
|---|---|---|
| 1 | Communist party | 67 |
| 2 | Far left | 27 |
| 3 | Socialist party | 481 |
| 4 | Green, Ecologists | 124 |
| 5 | UDF-Liberal | 143 |
| 6 | RPR-Conservative | 374 |
| 7 | National Front-Far right | 53 |
| 95 | Other Party | 18 |
| 0 | NAP, other countries | 46817 |
| 99 | NA | 537 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1287 | 47354 |
Valid range from 1 to 95
gb_prty R: Party affiliation: Great Britain
| Value 19597 | Frequency | |
|---|---|---|
| 1 | Conservative | 245 |
| 2 | Labour | 300 |
| 3 | Liberal Democrats,SLD | 110 |
| 4 | Social Democratic+Labour Party | 0 |
| 5 | Democratic Unionist P | 0 |
| 6 | SNP (Scot National) | 15 |
| 7 | Plaid Cymru | 4 |
| 8 | Green party | 26 |
| 93 | Other answer | 18 |
| 95 | Other Party:UKIP,BNP/NF, Scottish Socialist, Respect, Social | 22 |
| 96 | Would not vote; no party preference | 134 |
| 0 | NAP, other countries | 47711 |
| 98 | DK | 43 |
| 99 | NA | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 874 | 47767 |
Valid range from 1 to 96
hr_prty R: Party affiliation: Croatia
| Value 19696 | Frequency | |
|---|---|---|
| 1 | HDZ-Croatian Democratic Union (Conservative) | 157 |
| 2 | SDP-Social Democratic Party (Soc-Democr) | 115 |
| 3 | HSP-Croatian Party of Rights (Right, Conservative) | 46 |
| 4 | HSS-Croatian Peasant Party (Center) | 32 |
| 5 | HNS-Croatian People's Party (Center) | 26 |
| 6 | HSLS-Croatian Social Liberal Party (Liberal) | 15 |
| 7 | IDS-Istrian Democratic Assembly (Regional) | 9 |
| 8 | HSU-Croatian Party of Pensioners | 7 |
| 95 | Other Party | 22 |
| 96 | Would not vote | 583 |
| 0 | NAP, other countries | 47441 |
| 97 | Refused | 133 |
| 98 | Don't know | 55 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1012 | 47629 |
Valid range from 1 to 96
hu_prty R: Party affiliation: Hungary
| Value 19795 | Frequency | |
|---|---|---|
| 1 | HDF-Hungarian Democratic Forum | 10 |
| 2 | FFD-Free Democrats | 19 |
| 3 | ISHP-Independent Small Holders | 6 |
| 4 | HSP-Hungarian Socialist Party | 298 |
| 5 | FYD-Federation of Young Democrats | 271 |
| 6 | CDPP-Christ.Democr.People s P | 0 |
| 7 | HSPW-Socialist Workers | 6 |
| 8 | HTJP-Hungarian Truth | 11 |
| 95 | Other Party | 14 |
| 0 | NAP, other countries | 47631 |
| 99 | NA | 375 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 635 | 48006 |
Valid range from 1 to 95
ie_prty R: Party affiliation: Ireland
| Value 19894 | Frequency | |
|---|---|---|
| 1 | Fianna Fail | 215 |
| 2 | Fine Gael | 89 |
| 3 | Labour | 42 |
| 4 | Workers Party | 1 |
| 5 | Progressive Democrats | 6 |
| 6 | Green Party | 12 |
| 7 | Sinn Fein | 18 |
| 8 | Democratic Left | 0 |
| 95 | Other Party | 2 |
| 96 | No party preference | 604 |
| 0 | NAP, other countries | 47640 |
| 99 | NA | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 989 | 47652 |
Valid range from 1 to 96
il_prty R: Party affiliation: Israel
| Value 19993 | Frequency | |
|---|---|---|
| 1 | Haavoda | 158 |
| 2 | Likud | 202 |
| 3 | Kadima | 78 |
| 4 | Shase | 48 |
| 5 | Meretz | 58 |
| 6 | Mafdal | 50 |
| 7 | Yahadut-hatora | 54 |
| 8 | Gimlaim | 22 |
| 9 | Israel Beteno | 47 |
| 10 | Haadash | 52 |
| 11 | Balad | 45 |
| 12 | Raam, Taal | 30 |
| 13 | Hetz | 0 |
| 14 | Shinuy | 1 |
| 15 | ale yarok | 9 |
| 16 | Hayerukim | 12 |
| 95 | Other party | 19 |
| 0 | NAP, other countries | 47296 |
| 97 | Refused | 80 |
| 98 | DK | 139 |
| 99 | NA | 241 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 885 | 47756 |
Valid range from 1 to 95
jp_prty R: Party affiliation: Japan
| Value 20092 | Frequency | |
|---|---|---|
| 1 | Liberal Democratic Party | 369 |
| 2 | The Democratic Party of Japan | 169 |
| 3 | Liberal Party | 0 |
| 4 | New Komeito | 58 |
| 5 | The Japanese Communist Party | 21 |
| 6 | Social Democratic Party | 13 |
| 95 | Other Party | 6 |
| 96 | No party preference | 587 |
| 0 | NAP, other countries | 47410 |
| 99 | NA | 8 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1223 | 47418 |
Valid range from 1 to 96
kr_prty R: Party affiliation: South Korea
| Value 20191 | Frequency | |
|---|---|---|
| 1 | People First Party | 23 |
| 2 | Grand National Party | 758 |
| 3 | Millennium Democratic Party | 137 |
| 4 | The Uri Party | 268 |
| 5 | Democratic Labor Party | 193 |
| 95 | Other Parties | 4 |
| 96 | No party affiliation | 184 |
| 0 | NAP, other countries | 47036 |
| 98 | DK | 38 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1567 | 47074 |
Valid range from 1 to 96
lv_prty R: Party affiliation: Latvia
| Value 20290 | Frequency | |
|---|---|---|
| 1 | Maras zeme'-'Maras Land' | 0 |
| 2 | 'Saskanas centre'-'Harmony Centre' | 27 |
| 3 | Political Union 'Dzimtene'-'Motherland' | 1 |
| 4 | Party 'Visu Latvijai'-'All for Latvia' | 2 |
| 5 | Organisation For 'Human Rights in United Latvia' | 22 |
| 6 | Political Organisation 'Euro-sceptics' | 0 |
| 7 | Political org. 'Green and Farmer Union' | 43 |
| 8 | Party 'Our Land' | 0 |
| 9 | Union 'Latvias First Party' and 'Latvias Way' | 10 |
| 10 | Latvian Social Democratic Workers Party (LSDSP) | 8 |
| 11 | Party 'Tevzemes savieniba'-'Fatherlands Union' | 1 |
| 12 | National Force Unions | 0 |
| 13 | New Democrats | 0 |
| 14 | The Peoples party | 63 |
| 15 | Jaunais Laiks-New Era | 55 |
| 16 | Pol organisation 'Latviesu Latvija'-'Latvian Latvia' | 0 |
| 17 | Pol organisation 'Party of Pensioners and Seniors' | 0 |
| 18 | Party of Social Justice | 0 |
| 19 | 'Tevzemei un Brivibai,LNNK'-Alliance 'For Fatherland and Fre | 19 |
| 95 | Other party | 1 |
| 96 | No party preference | 511 |
| 0 | NAP, other countries | 47572 |
| 97 | Refused | 48 |
| 98 | DK | 258 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 763 | 47878 |
Valid range from 1 to 96
nl_prty R: Party affiliation: Netherlands
| Value 20389 | Frequency | |
|---|---|---|
| 1 | Christian Democrats-CDA | 159 |
| 2 | Labour-PvdA | 235 |
| 3 | 'Liberal' Conservative-VVD | 169 |
| 4 | Socialists-SP | 114 |
| 5 | Green-Groen Links | 42 |
| 6 | Fortuyn?s Party-LPF | 10 |
| 7 | 'Liberal' Democrats-D66 | 24 |
| 8 | Wilders' Party-PVV | 34 |
| 9 | Christian [Protestant] Party | 44 |
| 10 | Orthodox Protestant Party-SGP | 11 |
| 94 | Vote blank | 0 |
| 95 | Other party,specify | 42 |
| 96 | Would not vote | 67 |
| 0 | NAP, other countries | 47648 |
| 99 | NA | 42 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 951 | 47690 |
Valid range from 1 to 96
no_prty R: Party affiliation: Norway
| Value 20488 | Frequency | |
|---|---|---|
| 1 | Red Electoral Alliance | 18 |
| 2 | Labour Party | 268 |
| 3 | Progress Party | 317 |
| 4 | Conservative Party | 167 |
| 5 | Christian Democratic Party | 61 |
| 6 | Centre party | 71 |
| 7 | Socialist Left | 72 |
| 8 | Liberal | 52 |
| 95 | Other Party | 13 |
| 96 | Wouldnt vote | 48 |
| 0 | NAP, other countries | 47311 |
| 98 | DK | 226 |
| 99 | NA | 17 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1087 | 47554 |
Valid range from 1 to 96
nz_prty R: Party affiliation: New Zealand
| Value 20587 | Frequency | |
|---|---|---|
| 1 | Act | 19 |
| 2 | Alliance | 3 |
| 3 | Green | 87 |
| 4 | Labour | 326 |
| 5 | National | 366 |
| 6 | NZ First | 57 |
| 7 | Progressive Coalition | 2 |
| 8 | United Future | 32 |
| 9 | Maori Party | 21 |
| 95 | Other | 8 |
| 0 | NAP, other countries | 47378 |
| 96 | Did not vote/not eligible | 54 |
| 98 | DK | 288 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 921 | 47720 |
Valid range from 1 to 95
ph_prty R: Party affiliation: Philippines
| Value 20686 | Frequency | |
|---|---|---|
| 1 | Nationalist Peoples Coalition (NPC) | 5 |
| 2 | Liberal Party (LP) | 30 |
| 3 | Buklod Capampangan | 0 |
| 4 | Bileg Ti La Union Party | 0 |
| 5 | LAKAS NUCD-UMDP Party | 85 |
| 6 | Christian Muslim Independent (CMIP) | 0 |
| 7 | Move Makati | 0 |
| 8 | Lapiang Bagong Lakas Ng Nueva Ecija (BALANE) | 1 |
| 9 | Partido Magdalo | 0 |
| 10 | Peoples Reform Party (PRP) | 0 |
| 11 | Lapiang Manggagawa (LM) | 1 |
| 12 | Independent Nacionalista and Allies (INA) | 0 |
| 13 | Ompia Party | 0 |
| 14 | Malay Democrats of the Philippines | 0 |
| 15 | Laban Ng Demokratikong Pilipino (LDP) | 3 |
| 16 | Gabaybayan | 0 |
| 17 | Partido Nacionalista Ng Pilipinas (PNP) | 0 |
| 18 | Partido Demokratiko Pilipino Lakas Ng Bayan (PDP LABAN) | 7 |
| 19 | Partido Ng Masang Pilipino (PMP) | 0 |
| 20 | Bicol Saro | 0 |
| 21 | Kilusang Bagong Lipunan (KBL) | 1 |
| 22 | Kabalikat Ng Bayan Sa Kaunlaran (KABAKA) | 0 |
| 23 | Panaghiusa | 0 |
| 24 | Paglaum Sang Banwa | 0 |
| 25 | Partido Demokratiko Sosyalista Ng Pilipinas (PDSP) | 0 |
| 26 | Sarangani Reconciliation and Reformation Organization (SARRO | 0 |
| 27 | Kusog Han Eastern Samar | 0 |
| 28 | Philippine Christian Nationalist Party (PCNP) | 0 |
| 29 | Retailers Party | 0 |
| 30 | Islamic Party of the Philippines | 0 |
| 31 | Forward With Vitality for Reforms (FVR) - Sigaw Ng Kabite | 0 |
| 32 | Liping Kalookan | 0 |
| 33 | Nacionalista Party | 7 |
| 34 | (Partido Pag-Asa) Peoples Progressive Alliance for Peace... | 0 |
| 35 | Lingap Lugud Capampangan Party | 0 |
| 36 | Kabalikat Ng Malayang Pilipino (KAMPI) | 0 |
| 37 | Bileg Ti Agkaykaysa Nga Ilokano Party (BIAG) | 0 |
| 38 | Pinag-Isang Lakas Tungo Sa Pagbabago (Pinatubo Party) | 0 |
| 39 | Aksyon Demokratiko (Aksyon) | 5 |
| 40 | Laban ng Makabayang Masang Pilipino (LAMMP) | 0 |
| 41 | (DAMGO) Democratric Alliance of Mindanaoans For Good Govt | 0 |
| 42 | Pusyon Pilipino (Bisaya) | 0 |
| 43 | Abante Anak Bisaya (Bisdak) | 0 |
| 44 | Progessive Movement for Devolution Of Initiatives (PROMDI) | 0 |
| 45 | Kilusan Para Sa Pambansang Pagpapanibago (Bago) | 0 |
| 46 | Muslim Reform Party (MRP) | 0 |
| 47 | Katipunan Ng Bagong Caloocan (KABAKA) | 0 |
| 48 | Akbayan (Citizens Action Party) | 1 |
| 49 | Partido Para Sa Demokratikong Reporma (PDR) | 0 |
| 50 | (PDR-LM) Partido Para Sa Demokratikong Reporma-Lapiang? | 0 |
| 51 | Ummah Party | 0 |
| 52 | Rizalist Party | 0 |
| 53 | Laban Para Sa Kapayapaan, Katarungan At Kaunlaran (KKK) | 0 |
| 54 | Bileg Ti Ilocano (Bileg) | 0 |
| 55 | LAKAS-NUCD-UMDP - Nacionalista Party | 0 |
| 56 | United Negros Alliance (UNA) | 0 |
| 57 | Quezon Nationalist Democratic Party | 0 |
| 58 | Sama Sama Tarlac | 0 |
| 59 | Kasangga Ng Bayan, Tao, Kalikasan, At Kaunlaran (KABATAK) | 0 |
| 60 | Social Justice Society (SJS) | 0 |
| 61 | (OSMEŃA) Organized Support For The Movement To Enhance... | 1 |
| 62 | Democratic Alliance (DA) | 0 |
| 63 | Barog Alang Sa Kauswagan Ug Demokrasya (BAKUD) | 0 |
| 64 | ALAYON Alang Sa Kalambu-An Ug Kalinaw | 0 |
| 65 | Compostela Valley Rainbow Alliance (Coral) | 0 |
| 66 | Kilusang Diwa Ng Taguig (KDT) | 0 |
| 67 | Katig-Uban Nortehanon | 0 |
| 68 | Cotabato United Peoples Movement (Lihok Cotabato) | 0 |
| 69 | Partido Pundok Biliranon | 0 |
| 70 | Pangkat Laguna | 0 |
| 71 | Partido Tapat (Taguig-Pateros Action Team) | 0 |
| 72 | Catanduanes Alliance for Reform and Democracy (CARD) | 0 |
| 73 | Peoples Alliance Development of Rombon (PADER) | 0 |
| 74 | Bayan Muna | 7 |
| 75 | Aton Tamdon Utod Negrosanon (ATUN) | 0 |
| 76 | Kugi Uswag Sugbu (KUSUG) | 0 |
| 77 | Peoples Consultative (Mushawara) Party | 0 |
| 78 | Asenso Pilipino Party (APP) | 0 |
| 79 | National Alliance for Democracy (NAD) | 0 |
| 80 | Caloocan Team For Action Progress and Truth (CATAPAT) | 0 |
| 81 | Buhay Hayaan Yumabong (Buhay) | 1 |
| 82 | Partido Isang Bansa Isang Diwa Party | 0 |
| 83 | Kilusan ng Nagkakaisang Pilipino (KNP) | 49 |
| 84 | Bangon Pilipinas | 3 |
| 85 | Gabriela | 1 |
| 86 | Citizens Battle Against Corruption (CIBAC) | 1 |
| 87 | Bando Osmeńa Pundok Kauswagan (BOPK) | 3 |
| 88 | Independent | 17 |
| 95 | Other Party | 29 |
| 96 | Would not vote, no party preference | 851 |
| 0 | NAP, other countries | 47441 |
| 98 | Dont know, cant recall | 59 |
| 99 | No answer, Refused | 32 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1109 | 47532 |
Valid range from 1 to 96
pl_prty R: Party affiliation: Poland
| Value 20785 | Frequency | |
|---|---|---|
| 1 | LPR League of Polish Families | 14 |
| 2 | LiD Left and Democrats | 81 |
| 3 | MN German Minority | 3 |
| 4 | Womens Party | 7 |
| 5 | PO Civic Platform of Republic of Poland | 403 |
| 6 | PPP Polish Labor Party | 6 |
| 7 | PSL Polish Peasants Party | 41 |
| 8 | PiS Law and Justice Party | 245 |
| 9 | Patriotic Self-Defense | 4 |
| 10 | Self-Defense of the Republic of Poland | 11 |
| 95 | Other Party | 2 |
| 0 | NAP, other countries | 47348 |
| 96 | Did not vote | 422 |
| 97 | Refused | 25 |
| 98 | DK | 29 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 817 | 47824 |
Valid range from 1 to 95
pt_prty R: Party affiliation: Portugal
| Value 20884 | Frequency | |
|---|---|---|
| 1 | Bloco de Esquerda,B.E. | 32 |
| 2 | CDS, PP | 19 |
| 3 | CDU-PCP-PEV | 87 |
| 4 | Movim | 1 |
| 5 | PDA | 1 |
| 6 | PH | 2 |
| 7 | PND | 0 |
| 8 | PNR | 1 |
| 9 | POUS | 0 |
| 10 | PPD-PSD | 288 |
| 11 | PS | 438 |
| 95 | Other party | 9 |
| 96 | None, no preference | 691 |
| 0 | NAP, other countries | 46804 |
| 98 | DK | 73 |
| 99 | NA | 195 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1569 | 47072 |
Valid range from 1 to 96
ru_prty R: Party affiliation: Russia
| Value 20983 | Frequency | |
|---|---|---|
| 1 | Pensioners Party/Party of Social Justice | 15 |
| 2 | Union of right forces | 20 |
| 3 | Yabloko | 40 |
| 4 | Russian Ecological Party 'Green' (Panfilov A.) | 3 |
| 5 | Country Party of Russia (Lapshin M.) | 21 |
| 6 | Popular Party of Russian Federation (Raykov) | 1 |
| 7 | Party of Revival/Russian Party of Life (Seleznev G./ Miro | 6 |
| 8 | Motherland (Glazyev S.) | 47 |
| 9 | Liberal Democratic Party of Russia (Ghirinovsky V.) | 75 |
| 10 | United Russia (Gryzlov B.) | 622 |
| 11 | Communist Party of Russian Federation (Zyuganov G.) | 167 |
| 12 | Party Development of Entrepreneurship (Grachev I.) | 0 |
| 95 | Other Party | 28 |
| 96 | Against all/ threw out/ damaged voting paper | 92 |
| 0 | NAP, other countries | 46234 |
| 97 | Refused | 455 |
| 99 | Did not vote | 815 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1137 | 47504 |
Valid range from 1 to 96
se_prty R: Party affiliation: Sweden
| Value 21082 | Frequency | |
|---|---|---|
| 1 | C (Centre Party) | 52 |
| 2 | FP (Liberal Party) | 111 |
| 3 | KD (Christian Democrats) | 42 |
| 4 | MP (Green Party) | 41 |
| 5 | M (Conservative Party) | 242 |
| 6 | S (Social Democratic Party) | 423 |
| 7 | V (Left Party) | 61 |
| 95 | Other Party, Healthcare,Feministic Init,June List | 138 |
| 0 | NAP, other countries | 47447 |
| 99 | NA | 84 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1110 | 47531 |
Valid range from 1 to 95
si_prty R: Party affiliation: Slovenia
| Value 21181 | Frequency | |
|---|---|---|
| 1 | DESUS-Democratic ret | 43 |
| 2 | LDS-Liberal Democrats | 110 |
| 3 | SLS-Peoples Party | 51 |
| 4 | SNS-Slovenian Nation | 29 |
| 5 | SDS-Social Democratic | 170 |
| 6 | NSI-New Slovenia | 30 |
| 7 | SD-Social Democrats (former ZLSD Combined list) | 81 |
| 8 | SMS-Slovenian Youth Party | 31 |
| 9 | Green Parties | 10 |
| 10 | AS-Active Slovenia | 6 |
| 95 | Other Party | 15 |
| 0 | NAP, other countries | 47638 |
| 98 | DK | 334 |
| 99 | NA | 93 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 576 | 48065 |
Valid range from 1 to 95
tw_prty R: Party affiliation: Taiwan
| Value 21280 | Frequency | |
|---|---|---|
| 1 | KMT Kuo Min Tang | 392 |
| 2 | DPP Democratic Progressive Party | 229 |
| 3 | PFP People First Party | 16 |
| 4 | TSU Taiwan Solidarity Union | 9 |
| 6 | New Party | 3 |
| 95 | Other Party | 32 |
| 96 | Dont support any party | 1274 |
| 0 | NAP, other countries | 46669 |
| 97 | Refused | 6 |
| 98 | DK | 4 |
| 99 | NA | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1955 | 46686 |
Valid range from 1 to 96
us_prty R: Party affiliation: USA
| Value 21379 | Frequency | |
|---|---|---|
| 1 | Strong democrat | 243 |
| 2 | Not very strong democrat | 233 |
| 3 | Indep,close democrat | 181 |
| 4 | Independent | 374 |
| 5 | Indep,close republican | 112 |
| 6 | Not very strong republican | 180 |
| 7 | Strong republican | 168 |
| 95 | Other Party | 15 |
| 0 | NAP, other countries | 47123 |
| 99 | NA | 12 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1506 | 47135 |
Valid range from 1 to 95
uy_prty R: Party affiliation: Uruguay
| Value 21478 | Frequency | |
|---|---|---|
| 1 | Red Party | 78 |
| 2 | National Party | 158 |
| 3 | Wide front Party | 402 |
| 4 | Independent Party | 5 |
| 5 | Liberal Party | 2 |
| 95 | Other Party | 1 |
| 96 | No party, no preference | 372 |
| 0 | NAP, other countries | 47610 |
| 99 | NA | 13 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1018 | 47623 |
Valid range from 1 to 96
ve_prty R: Party affiliation: Venezuela
| Value 21577 | Frequency | |
|---|---|---|
| 1 | AD (Soc-Democr) | 37 |
| 2 | Copei (Cons) | 14 |
| 3 | MAS (Center left) | 3 |
| 4 | MVR (Left) | 440 |
| 5 | Proyecto Venezuela (Liberal) | 3 |
| 6 | Primero Justicia (Liberal) | 21 |
| 7 | PPT (Center left) | 21 |
| 8 | Causa R (Left) | 2 |
| 9 | Convergencia (Cons) | 1 |
| 10 | PUSV (Left) | 25 |
| 11 | Podemos (Left) | 23 |
| 12 | Un Nuevo Tiempo (Liberal) | 32 |
| 13 | PCV | 4 |
| 95 | Other Party | 5 |
| 96 | None | 562 |
| 0 | NAP, other countries | 47441 |
| 98 | DK | 1 |
| 99 | NA | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1193 | 47448 |
Valid range from 1 to 96
za_prty R: Party affiliation: South Africa
| Value 21676 | Frequency | |
|---|---|---|
| 1 | African Christian Democratic Party (ACDP) | 44 |
| 2 | African National Congress (ANC) | 1626 |
| 3 | Azanian People?s Organisation (AZAPO) | 10 |
| 4 | Democratic Party / Alliance (DA/DP) | 342 |
| 5 | Freedom Front / Vryheidsfront (FF/VF) | 15 |
| 6 | Independent Democrats (ID) | 38 |
| 7 | Inkatha Freedom Party (IFP) | 56 |
| 8 | Minority Front (MF) | 20 |
| 9 | New National Party (NNP) | 33 |
| 10 | Pan-Africanist Congress (PAC) | 12 |
| 11 | South African Communist Party (SACP) | 0 |
| 12 | United Democratic Movement (UDM) | 10 |
| 94 | Uncertain | 123 |
| 95 | Other (specify) | 9 |
| 96 | Will not vote | 335 |
| 0 | NAP, other countries | 45702 |
| 97 | Refused | 201 |
| 98 | DK | 47 |
| 99 | NA | 18 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2673 | 45968 |
Valid range from 1 to 96
vote_le R: Vote last election: yes, no
| Value 21775 | Frequency | |
|---|---|---|
| 1 | Yes | 35121 |
| 2 | No | 9528 |
| 0 | NAP:no voting right,not eligible;Not available:GB | 1970 |
| 8 | DK,TW:cant remember | 432 |
| 9 | No answer,refused | 1590 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 44649 | 3992 |
Valid range from 1 to 2
relig R: Religious denomination
| Value 21874 | Frequency | |
|---|---|---|
| 0 | No religion,not believe in God,Agnostic | 10229 |
| 100 | Roman Catholic | 17624 |
| 110 | Greek Catholic | 23 |
| 200 | Protestant | 2413 |
| 210 | Anglican,Ch Engl,Episcopal | 1190 |
| 220 | Baptists | 431 |
| 230 | Congregationalists | 47 |
| 240 | European Free Church (Anabaptists) | 0 |
| 241 | Mennonite | 0 |
| 250 | Lutheran, evangelical church | 4479 |
| 260 | Methodist | 302 |
| 270 | Pentecostal | 477 |
| 271 | Full Gospel Church of God | 63 |
| 272 | Apostolic Faith Mission | 43 |
| 273 | Intern Pentecostal Holiness | 22 |
| 274 | St Johnes Apostolic Faith Mission | 44 |
| 275 | Nazareth Baptist Church | 38 |
| 276 | Zion Christian Church | 239 |
| 280 | Presbyterian,Ch of Scot | 315 |
| 281 | GB:Free Presbytarian | 1 |
| 282 | Jehovas Witnesses | 128 |
| 283 | Church of Christ | 9 |
| 284 | New Apostolic | 0 |
| 285 | LDS Church, Apostle Twelve | 154 |
| 286 | Church of God a Saints of Christ | 17 |
| 287 | Church of God | 14 |
| 290 | Other Protestants (no spec. denom.),NL:reformed orthodox chu | 374 |
| 291 | Brethren | 10 |
| 292 | Mormon | 86 |
| 293 | Salvation Army | 21 |
| 294 | Assemblies of God | 46 |
| 295 | Seventh Day Adventists | 95 |
| 296 | CZ:Hussites | 20 |
| 297 | Unitarians,AU:Uniting church | 200 |
| 298 | United Church CA | 10 |
| 299 | United Church of Christ | 7 |
| 300 | Orthodox; Eastern Orthodox | 173 |
| 310 | Greek Orthodox | 0 |
| 320 | Russian Orthodox | 1945 |
| 325 | LV: Old Believers | 6 |
| 390 | Orthodox (no spec. mentioned) | 65 |
| 400 | Other Christian Groups | 345 |
| 401 | Aglipayan | 18 |
| 402 | Born Again | 0 |
| 403 | Alliance | 0 |
| 404 | Dating Daan | 0 |
| 405 | Jesus Miracle Crusad | 0 |
| 406 | Jesus is Lord | 0 |
| 407 | Christians | 47 |
| 408 | Espiritista | 0 |
| 409 | Iglesia ni Christo | 33 |
| 410 | Phil Independent Church | 0 |
| 490 | Unspecified Christian Groups | 718 |
| 500 | Jewish | 1088 |
| 510 | Orthodox Jewish | 0 |
| 520 | Conservative Jewish | 0 |
| 530 | Reformist Jewish | 0 |
| 590 | Jewish Religion general | 6 |
| 600 | Islam | 557 |
| 610 | Kharijism | 0 |
| 620 | Mutazilism | 0 |
| 630 | Sunni | 0 |
| 640 | Shiism | 0 |
| 650 | Ismailis | 0 |
| 660 | Other Muslim Religions | 1 |
| 670 | Druse | 41 |
| 690 | Muslim,Mohammedan,Islam | 184 |
| 700 | Buddhists | 487 |
| 701 | Specific Buddhist Groups | 2 |
| 790 | Buddhism general | 986 |
| 800 | Hinduism | 26 |
| 810 | Specific Groups | 0 |
| 820 | Sikhism | 3 |
| 890 | Hinduism general | 148 |
| 900 | Other Asian Religion | 3 |
| 901 | Shintoism | 23 |
| 902 | Taoism | 327 |
| 903 | Confucianism | 0 |
| 950 | Other East Asian Religion | 525 |
| 960 | Other Religions | 589 |
| 961 | NZ: Ratana, Ringatu | 13 |
| 962 | US: Native American | 1 |
| 963 | UY: Afro brazilian religion | 11 |
| 970 | Other non-Christian Religions | 23 |
| 997 | Refused | 8 |
| 998 | Dont know | 126 |
| 999 | No answer | 942 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47565 | 1076 |
Valid range from 0 to 970
religgrp R: Religious main groups (derived)
| Value 21973 | Frequency | |
|---|---|---|
| 1 | No religion | 10229 |
| 2 | Roman Catholic | 17593 |
| 3 | Protestant | 10970 |
| 4 | Christian Orthodox | 2240 |
| 5 | Jewish | 1094 |
| 6 | Islam | 783 |
| 7 | Buddhism | 1475 |
| 8 | Hinduism | 176 |
| 9 | Other Christian Religions | 1501 |
| 10 | Other Eastern Religions | 882 |
| 11 | Other Religions | 622 |
| 98 | Dont know | 125 |
| 99 | NA; ZA: NA, refused | 951 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 47565 | 1076 |
Valid range from 1 to 11
attend R: Attendance of religious services
| Value 22072 | Frequency | |
|---|---|---|
| 1 | Several times a week, IL: + every day | 2649 |
| 2 | Once a week,GB: once a week or more | 6535 |
| 3 | 2 or 3 times a month | 3170 |
| 4 | Once a month | 2542 |
| 5 | Sev times a year | 8243 |
| 6 | Once a year | 4555 |
| 7 | Less frequently | 6499 |
| 8 | Never | 12143 |
| 0 | Not applicable, no religion | 1046 |
| 97 | Refused | 89 |
| 98 | DK, varies too much | 536 |
| 99 | No answer | 634 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 46336 | 2305 |
Valid range from 1 to 8
topbot R:Top Bottom self-placement 10 pt scale
| Value 22171 | Frequency | |
|---|---|---|
| 1 | Lowest, 01 | 1891 |
| 2 | 02 | 2426 |
| 3 | 03 | 5020 |
| 4 | 04 | 6607 |
| 5 | 05 | 11276 |
| 6 | 06 | 9335 |
| 7 | 07 | 5098 |
| 8 | 08 | 2751 |
| 9 | 09 | 682 |
| 10 | Highest, 10 | 564 |
| 0 | Not available:GB | 930 |
| 97 | Refused | 15 |
| 98 | DK | 757 |
| 99 | NA,UY:cant choose | 1289 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45650 | 2991 |
Valid range from 1 to 10
au_reg Region: Australia
| Value 22270 | Frequency | |
|---|---|---|
| 1 | New South Wales | 898 |
| 2 | Victoria | 687 |
| 3 | Queensland | 538 |
| 4 | South Australia | 235 |
| 5 | Western Australia | 267 |
| 6 | Tasmania | 81 |
| 7 | Australian Capital Territory | 51 |
| 8 | Northern Territory | 18 |
| 0 | NAP, other countries | 45860 |
| 99 | NA | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2775 | 45866 |
Valid range from 1 to 8
ca_reg Region: Canada
| Value 22369 | Frequency | |
|---|---|---|
| 1 | Newfoundland | 60 |
| 2 | Nova Scotia | 65 |
| 3 | Prince Edward Island | 50 |
| 4 | New Brunswick | 53 |
| 5 | Quebec | 225 |
| 6 | Ontario | 209 |
| 7 | Manitoba | 75 |
| 8 | Saskatchewan | 57 |
| 9 | Alberta | 61 |
| 10 | British Colombia | 71 |
| 0 | NAP, other countries | 47708 |
| 99 | NA | 7 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 926 | 47715 |
Valid range from 1 to 10
ch_reg Region: Switzerland
| Value 22468 | Frequency | |
|---|---|---|
| 1 | Région Lémanique | 200 |
| 2 | Espace Mittelland | 222 |
| 3 | Nordschweiz | 126 |
| 4 | Zuerich | 172 |
| 5 | Ostschweiz | 184 |
| 6 | Zentralschweiz | 62 |
| 7 | Ticino | 37 |
| 0 | NAP, other countries | 47638 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 47638 |
Valid range from 1 to 7
cl_reg Region: Republic of Chile
| Value 22567 | Frequency | |
|---|---|---|
| 1 | Tarapaca | 40 |
| 2 | Antofagasta | 50 |
| 3 | Atacama | 25 |
| 4 | Coquimbo | 60 |
| 5 | Valparaiso | 155 |
| 6 | Libertador General | 75 |
| 7 | Maule | 90 |
| 8 | Biobio | 185 |
| 9 | La Araucania | 85 |
| 10 | Los Lagos | 105 |
| 11 | Aisen | 10 |
| 12 | Magallanes and Antartica Chilena | 15 |
| 13 | Metropolitana de Santiago | 610 |
| 0 | NAP, other countries | 47136 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1505 | 47136 |
Valid range from 1 to 13
cz_reg Region: Czech Republic
| Value 22666 | Frequency | |
|---|---|---|
| 1 | Prague | 134 |
| 2 | Central Bohemia | 138 |
| 3 | South Bohemia | 78 |
| 4 | Pilsen | 65 |
| 5 | Carlsbad | 32 |
| 6 | Usti | 89 |
| 7 | Liberec | 61 |
| 8 | Hradec Kralove | 46 |
| 9 | Pardubice | 69 |
| 10 | Vysocina | 50 |
| 11 | South Moravia | 139 |
| 12 | Olomouc | 75 |
| 13 | Moravia-Silesia | 168 |
| 14 | Zlin | 57 |
| 0 | NAP, other countries | 47440 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1201 | 47440 |
Valid range from 1 to 14
de_reg Region: Germany
| Value 22765 | Frequency | |
|---|---|---|
| 1 | Schleswig-Holstein | 49 |
| 2 | Hamburg | 16 |
| 3 | Niedersachsen | 147 |
| 4 | Bremen | 5 |
| 5 | Nordrhein-Westfalen | 301 |
| 6 | Hessen | 112 |
| 7 | Rheinland-Pfalz | 82 |
| 8 | Baden-Wuerttemberg | 152 |
| 9 | Bayern | 198 |
| 10 | Saarland | 19 |
| 11 | Berlin-Ost | 32 |
| 12 | Mecklbg-Vorpommern | 53 |
| 13 | Brandenburg | 108 |
| 14 | Sachsen-Anhalt | 91 |
| 15 | Thueringen | 98 |
| 16 | Sachsen | 149 |
| 17 | Berlin-West | 31 |
| 0 | NAP, other countries | 46998 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1643 | 46998 |
Valid range from 1 to 17
dk_reg Region: Denmark
| Value 22864 | Frequency | |
|---|---|---|
| 1 | Capital Region of Denmark | 267 |
| 2 | Region Sealand | 207 |
| 3 | Region of Southern Denmark | 303 |
| 4 | Central Denmark Region | 305 |
| 5 | Region North Jutland | 133 |
| 6 | Copenhagen municipality | 134 |
| 7 | Frederiksberg municipality | 19 |
| 0 | NAP, other countries | 47273 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1368 | 47273 |
Valid range from 1 to 7
do_reg Region: Dominican Republic
| Value 22963 | Frequency | |
|---|---|---|
| 1 | Distrito Nacional | 195 |
| 2 | Santo Domingo | 379 |
| 3 | Santiago | 253 |
| 4 | San Pedro de Macoris | 63 |
| 5 | La Romana | 51 |
| 6 | Higuey | 46 |
| 7 | Hato Mayor | 17 |
| 8 | El Seibo | 42 |
| 9 | Monte Plata | 69 |
| 10 | Yamasa | 0 |
| 11 | San Cristóbal | 116 |
| 12 | Bani | 60 |
| 13 | San Juan | 64 |
| 14 | Barahona | 30 |
| 15 | San José de Ocoa | 41 |
| 16 | Villa Altagracia | 0 |
| 17 | Azua | 50 |
| 18 | Duarte | 45 |
| 19 | La Vega | 68 |
| 20 | Espaillat | 67 |
| 21 | Puerto Plata | 101 |
| 22 | Monsenor Nouel | 43 |
| 23 | Samaná | 40 |
| 24 | Salcedo | 38 |
| 25 | Valverde | 30 |
| 26 | Santiago Rodgríguez | 16 |
| 27 | Monte Cristi | 40 |
| 28 | Dajabón | 30 |
| 29 | Elías Pina | 0 |
| 30 | Bahoruco | 30 |
| 31 | MTS (Nagua) | 39 |
| 32 | Independencia | 0 |
| 33 | Pedernales | 0 |
| 34 | Sanchez Ramirez | 43 |
| 0 | NAP, other countries | 46535 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2106 | 46535 |
Valid range from 1 to 34
es_reg Region: Spain
| Value 23062 | Frequency | |
|---|---|---|
| 1 | Andalucia | 427 |
| 2 | Aragon | 85 |
| 3 | Asturias | 76 |
| 4 | Baleares | 38 |
| 5 | Canarias | 72 |
| 6 | Cantabria | 42 |
| 7 | Castilla-La Mancha | 120 |
| 8 | Castilla-Leon | 161 |
| 9 | Cataluna | 415 |
| 10 | Comunidad Valenciana | 279 |
| 11 | Extremadura | 63 |
| 12 | Galicia | 197 |
| 13 | Madrid | 277 |
| 14 | Region de Murcia | 82 |
| 15 | Navarra | 45 |
| 16 | Pais Vasco | 122 |
| 17 | La Rioja | 16 |
| 0 | NAP, other countries | 46124 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2517 | 46124 |
Valid range from 1 to 17
fi_reg Region: Finland
| Value 23161 | Frequency | |
|---|---|---|
| 1 | Uusimaa | 297 |
| 2 | Varsinais-Suomi | 93 |
| 4 | Satakunta | 53 |
| 5 | Kanta-Haeme | 50 |
| 6 | Pirkanmaa | 111 |
| 7 | Paeijaet-Haeme | 37 |
| 8 | Kymenlaakso | 40 |
| 9 | South Karelia | 38 |
| 10 | Etelae-Savo | 32 |
| 11 | Pohjois-Savo | 56 |
| 12 | North Karelia | 43 |
| 13 | Central Finland | 60 |
| 14 | South Ostrobothnia | 48 |
| 15 | Ostrobothnia | 36 |
| 16 | Central Ostrobothnia | 17 |
| 17 | North Ostrobothnia | 80 |
| 18 | Kainuu | 19 |
| 19 | Lapland | 45 |
| 20 | Itae-Uusimaa | 18 |
| 21 | Aland | 7 |
| 0 | NAP, other countries | 47452 |
| 98 | DK | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1180 | 47461 |
Valid range from 1 to 21
fr_reg Region: France
| Value 23260 | Frequency | |
|---|---|---|
| 1 | Ain | 19 |
| 2 | Aisne | 13 |
| 3 | Allier | 11 |
| 4 | Alpes-Hte-Provence | 4 |
| 5 | Hautes-Alpes | 8 |
| 6 | Alpes-Maritimes | 33 |
| 7 | Ardeche | 15 |
| 8 | Ardennes | 4 |
| 9 | Ariege | 8 |
| 10 | Aube | 8 |
| 11 | Aude | 10 |
| 12 | Aveyron | 6 |
| 13 | Bouche-du-Rhone | 66 |
| 14 | Calvados | 21 |
| 15 | Cantal | 6 |
| 16 | Charente | 10 |
| 17 | Charente-Maritime | 18 |
| 18 | Cher | 10 |
| 19 | Correze | 6 |
| 20 | Corse | 6 |
| 21 | Cote-d Or | 17 |
| 22 | Cotes-d Armor | 27 |
| 23 | Creuse | 6 |
| 24 | Dordogne | 9 |
| 25 | Doubs | 15 |
| 26 | Drome | 23 |
| 27 | Eure | 16 |
| 28 | Eure-et-Loire | 10 |
| 29 | Finistere | 37 |
| 30 | Gard | 23 |
| 31 | Haute-Garonne | 35 |
| 32 | Gers | 9 |
| 33 | Gironde | 52 |
| 34 | Herault | 26 |
| 35 | Ille-et-Vilaine | 26 |
| 36 | Indre | 7 |
| 37 | Indre-et-Loire | 13 |
| 38 | Isere | 46 |
| 39 | Jura | 4 |
| 40 | Landes | 11 |
| 41 | Loir-et-Cher | 8 |
| 42 | Loire | 16 |
| 43 | Haute-Loire | 13 |
| 44 | Loire-Atlantique | 35 |
| 45 | Loiret | 13 |
| 46 | Lot | 6 |
| 47 | Lot-et-Garonne | 12 |
| 48 | Lozere | 4 |
| 49 | Maine-et-Loire | 24 |
| 50 | Manche | 17 |
| 51 | Marne | 13 |
| 52 | Haute-Marne | 4 |
| 53 | Mayenne | 13 |
| 54 | Meurthe-et-Moselle | 16 |
| 55 | Meuse | 3 |
| 56 | Morbihan | 26 |
| 57 | Moselle | 29 |
| 58 | Nievre | 11 |
| 59 | Nord | 68 |
| 60 | Oise | 13 |
| 61 | Orne | 4 |
| 62 | Pas-de-Calais | 30 |
| 63 | Puy-de-Dome | 19 |
| 64 | Pyrenees-Atlantiques | 21 |
| 65 | Hautes-Pyrenees | 8 |
| 66 | Pyrenees-Orientales | 11 |
| 67 | Bas-Rhin | 31 |
| 68 | Haut-Rhin | 25 |
| 69 | Rhone | 37 |
| 70 | Haute-Saone | 4 |
| 71 | Saone-et-Loire | 20 |
| 72 | Sarthe | 17 |
| 73 | Savoie | 13 |
| 74 | Haute-Savoie | 31 |
| 75 | Ville de Paris | 80 |
| 76 | Seine-Maritime | 43 |
| 77 | Seine-et-Marne | 26 |
| 78 | Yvelines | 37 |
| 79 | Deux-Sevres | 17 |
| 80 | Somme | 7 |
| 81 | Tarn | 14 |
| 82 | Tarn-et-Garonne | 6 |
| 83 | Var | 24 |
| 84 | Vaucluse | 18 |
| 85 | Vendee | 28 |
| 86 | Vienne | 17 |
| 87 | Haute-Vienne | 15 |
| 88 | Vosges | 17 |
| 89 | Yonne | 8 |
| 90 | Belfort (Territoire) | 5 |
| 91 | Essone | 26 |
| 92 | Hauts-de-Seine | 46 |
| 93 | Seine-Saint-Denis | 18 |
| 94 | Val-de-Marne | 20 |
| 95 | Val-d Oise | 27 |
| 96 | Corse-Sud | 0 |
| 0 | NAP, other countries | 46817 |
| 99 | NA | 16 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1808 | 46833 |
Valid range from 1 to 96
gb_reg Region: Great Britain
| Value 23359 | Frequency | |
|---|---|---|
| 1 | Scotland | 84 |
| 2 | North,North West,Yorkshire Hbs | 267 |
| 3 | West, East Midlands | 150 |
| 4 | Wales | 49 |
| 5 | East Anglia,South West,S-E | 316 |
| 6 | Greater London | 64 |
| 0 | NAP, other countries | 47711 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 930 | 47711 |
Valid range from 1 to 6
hr_reg Region: Croatia
| Value 23458 | Frequency | |
|---|---|---|
| 1 | Zagreb | 298 |
| 2 | North Croatia | 212 |
| 3 | Slavonija | 231 |
| 4 | Lika and Banovina | 87 |
| 5 | Istra and Hrvatsko | 145 |
| 6 | Dalmacija | 227 |
| 0 | NAP, other countries | 47441 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 47441 |
Valid range from 1 to 6
hu_reg Region: Hungary
| Value 23557 | Frequency | |
|---|---|---|
| 1 | Budapest | 166 |
| 2 | Baranya | 35 |
| 3 | Bacs-Kiskun | 43 |
| 4 | Bekes | 52 |
| 5 | Borsod-Abauj | 68 |
| 6 | Csongrad | 54 |
| 7 | Fejer | 42 |
| 8 | Gyor-Sopron | 43 |
| 9 | Hajdu-Bihar | 69 |
| 10 | Heves | 0 |
| 11 | Komarom | 28 |
| 12 | Nograd | 59 |
| 13 | Pest | 95 |
| 14 | Somogy | 71 |
| 15 | Szabolcs-Szatmar | 64 |
| 16 | Szolnok | 31 |
| 17 | Tolna | 0 |
| 18 | Vas | 19 |
| 19 | Veszprem | 29 |
| 20 | Zala | 42 |
| 0 | NAP, other countries | 47631 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1010 | 47631 |
Valid range from 1 to 20
ie_reg Region: Ireland
| Value 23656 | Frequency | |
|---|---|---|
| 1 | Border | 146 |
| 2 | Dublin | 222 |
| 3 | Mid-East | 93 |
| 4 | Midland | 63 |
| 5 | Mid-West | 88 |
| 6 | South-East | 101 |
| 7 | South-West | 212 |
| 8 | West | 76 |
| 0 | NAP, other countries | 47640 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1001 | 47640 |
Valid range from 1 to 8
il_reg Region: Israel
| Value 23755 | Frequency | |
|---|---|---|
| 1 | North | 253 |
| 2 | South | 165 |
| 3 | Tel-Aviv | 469 |
| 4 | Jerusalem | 152 |
| 5 | Arab sector | 306 |
| 0 | NAP, other countries | 47296 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1345 | 47296 |
Valid range from 1 to 5
jp_reg Region: Japan
| Value 23854 | Frequency | |
|---|---|---|
| 1 | Hokkaido | 62 |
| 2 | Tohoku | 93 |
| 3 | Kanto | 374 |
| 4 | Koshin-etsu | 69 |
| 5 | Tokai, Hokuriku | 188 |
| 6 | Kinki | 192 |
| 7 | Chugoku | 78 |
| 8 | Shikoku | 38 |
| 9 | Kyushu | 137 |
| 0 | NAP, other countries | 47410 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1231 | 47410 |
Valid range from 1 to 9
kr_reg Region: South Korea
| Value 23953 | Frequency | |
|---|---|---|
| 1 | Seoul metropolitan city | 331 |
| 2 | Incheon metropolitan city | 336 |
| 3 | Daejeon metroplitan city | 82 |
| 4 | Busan metropolitan city | 46 |
| 5 | Ulsan metropolitan city | 54 |
| 6 | Daegu metropolitan city | 121 |
| 7 | Gwangju metropolitan city | 52 |
| 8 | Gyeonggi province | 137 |
| 9 | Gangwon province | 105 |
| 10 | Chungchong province | 31 |
| 11 | Gyeongsang province | 90 |
| 12 | Jeolla province | 201 |
| 13 | Jeju province | 19 |
| 0 | NAP, other countries | 47036 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1605 | 47036 |
Valid range from 1 to 13
lv_reg Region: Latvia
| Value 24052 | Frequency | |
|---|---|---|
| 1 | Riga | 339 |
| 2 | Pieriga | 174 |
| 3 | Vidzeme | 112 |
| 4 | Kurzeme | 143 |
| 5 | Zemgale | 133 |
| 6 | Latgale | 168 |
| 0 | NAP, other countries | 47572 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1069 | 47572 |
Valid range from 1 to 6
nl_reg Region: Netherlands
| Value 24151 | Frequency | |
|---|---|---|
| 1 | Groningen | 37 |
| 2 | Friesland | 41 |
| 3 | Drente | 34 |
| 4 | Overijssel | 71 |
| 5 | Gelderland | 110 |
| 6 | Utrecht | 67 |
| 7 | Noord-Holland | 171 |
| 8 | Zuid-Holland | 210 |
| 9 | Zeeland | 25 |
| 10 | Noord-Brabant | 147 |
| 11 | Limburg | 58 |
| 12 | Flevoland | 17 |
| 13 | Abroad, foreign country (Buitenland) | 5 |
| 0 | NAP, other countries | 47648 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 993 | 47648 |
Valid range from 1 to 13
no_reg Region: Norway
| Value 24250 | Frequency | |
|---|---|---|
| 1 | Central East | 295 |
| 2 | East | 371 |
| 3 | South | 64 |
| 4 | West | 332 |
| 5 | Middle | 134 |
| 6 | North | 134 |
| 0 | NAP, other countries | 47311 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1330 | 47311 |
Valid range from 1 to 6
nz_reg Region: New Zealand
| Value 24349 | Frequency | |
|---|---|---|
| 1 | Northland | 41 |
| 2 | Auckland | 326 |
| 3 | Thames Valley | 12 |
| 4 | Bay of Plenty | 80 |
| 5 | Waikato | 104 |
| 6 | Tongariro | 4 |
| 7 | East Cape | 8 |
| 8 | Hawkes Bay | 48 |
| 9 | Taranaki | 49 |
| 10 | Wanganui | 14 |
| 11 | Manawatu-Rangitikei | 40 |
| 12 | Horowhenua | 12 |
| 13 | Wellington | 133 |
| 14 | Wairarapa | 15 |
| 15 | Nelson Bays | 25 |
| 16 | Marlborough | 18 |
| 17 | West Coast | 8 |
| 18 | Canterbury | 176 |
| 19 | Aorangi | 16 |
| 20 | Clutha-Centr Otago | 23 |
| 21 | Coastal-North Otago | 36 |
| 22 | Southland | 34 |
| 0 | NAP, other countries | 47378 |
| 99 | NA | 41 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1222 | 47419 |
Valid range from 1 to 22
ph_reg Region: Philippines
| Value 24448 | Frequency | |
|---|---|---|
| 1 | National Capital Region (NCR) | 300 |
| 2 | Balance Luzon | 300 |
| 3 | Visayas | 300 |
| 4 | Mindanao | 300 |
| 0 | NAP, other countries | 47441 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 47441 |
Valid range from 1 to 4
pl_reg Region: Poland
| Value 24547 | Frequency | |
|---|---|---|
| 1 | Dolnosklaskie | 94 |
| 2 | Kujawsko-Pomorskie | 72 |
| 3 | Lubelskie | 64 |
| 4 | Lubuskie | 34 |
| 5 | Lodzkie | 97 |
| 6 | Malopolska (S-E) | 108 |
| 7 | Mazowieckie | 223 |
| 8 | Opolskie | 39 |
| 9 | Podkarpackie | 69 |
| 10 | Podlaskie | 42 |
| 11 | Pomorskie | 66 |
| 12 | Slaskie | 147 |
| 13 | Swietokrzyskie | 43 |
| 14 | Warminsko-Mazurskie | 44 |
| 15 | Wielkopolskie | 103 |
| 16 | Zachodniopomorskie | 48 |
| 0 | NAP, other countries | 47348 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1293 | 47348 |
Valid range from 1 to 16
pt_reg Region: Portugal
| Value 24646 | Frequency | |
|---|---|---|
| 1 | North | 613 |
| 2 | Centre | 476 |
| 3 | Lisbon and Tagus Valley | 473 |
| 4 | Alentejo | 182 |
| 5 | Algarve | 93 |
| 0 | NAP, other countries | 46804 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1837 | 46804 |
Valid range from 1 to 5
ru_reg Region: Russia
| Value 24745 | Frequency | |
|---|---|---|
| 1 | North | 138 |
| 2 | North-West | 82 |
| 3 | Central | 735 |
| 4 | Volga-Vyatka | 120 |
| 5 | Black Earth | 110 |
| 6 | Volga Region | 237 |
| 7 | North Caucasus | 237 |
| 8 | Urals | 291 |
| 9 | West Siberia | 212 |
| 10 | East Siberia | 131 |
| 11 | Far East | 114 |
| 0 | NAP, other countries | 46234 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2407 | 46234 |
Valid range from 1 to 11
se_reg Region: Sweden
| Value 24844 | Frequency | |
|---|---|---|
| 1 | North | 122 |
| 2 | Mid North | 132 |
| 3 | Mid East | 187 |
| 4 | Stockholm | 223 |
| 5 | West | 120 |
| 6 | Goeteborg | 111 |
| 7 | Smaaland Gotland | 127 |
| 8 | South | 99 |
| 9 | Malmoe | 73 |
| 0 | NAP, other countries | 47447 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1194 | 47447 |
Valid range from 1 to 9
si_reg Region: Slovenia
| Value 24943 | Frequency | |
|---|---|---|
| 1 | Pomurska | 81 |
| 2 | Podravska | 157 |
| 3 | Koroska | 41 |
| 4 | Savinjska | 136 |
| 5 | Gorenjska | 90 |
| 6 | Zasavska | 21 |
| 7 | Osrednja | 237 |
| 8 | Spodnjeposavska | 29 |
| 9 | Dolenjska | 67 |
| 10 | Goriska | 64 |
| 11 | Obalnokraska | 46 |
| 12 | Kraska | 32 |
| 0 | NAP, other countries | 47638 |
| 99 | NA | 2 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1001 | 47640 |
Valid range from 1 to 12
tw_reg Region: Taiwan
| Value 25042 | Frequency | |
|---|---|---|
| 1 | Keelung city | 61 |
| 2 | Taipei city | 162 |
| 3 | Taipei county | 356 |
| 4 | Taoyuan county | 210 |
| 5 | Hsinchu city | 5 |
| 6 | Hsinchu county | 32 |
| 7 | Miaoli county | 52 |
| 8 | Taichung city | 81 |
| 9 | Taichung county | 146 |
| 10 | Nantou county | 0 |
| 11 | Changhua county | 68 |
| 12 | Yunlin county | 0 |
| 13 | Chiayi city | 39 |
| 14 | Chiayi county | 49 |
| 15 | Tainan city | 7 |
| 16 | Tainan county | 213 |
| 17 | Kaohsiung city | 152 |
| 18 | Kaohsiung county | 98 |
| 19 | Pingtung county | 115 |
| 20 | Ilan county | 73 |
| 21 | Hualien county | 50 |
| 0 | NAP, other countries | 46669 |
| 99 | NA,not applicable | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1969 | 46672 |
Valid range from 1 to 21
us_reg Region: USA
| Value 25141 | Frequency | |
|---|---|---|
| 1 | New England | 54 |
| 2 | Middle Atlantic | 184 |
| 3 | East North Central | 252 |
| 4 | West North Central | 93 |
| 5 | South Atlantic | 348 |
| 6 | East South Central | 104 |
| 7 | West South Central | 148 |
| 8 | Mountain | 120 |
| 9 | Pacific | 215 |
| 0 | NAP, other countries | 47123 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1518 | 47123 |
Valid range from 1 to 9
uy_reg Region: Uruguay
| Value 25240 | Frequency | |
|---|---|---|
| 1 | Metropolitan statistical area of Montevideo | 460 |
| 2 | Rest of urban population | 571 |
| 0 | NAP, other countries | 47610 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1031 | 47610 |
Valid range from 1 to 2
ve_reg Region: Venezuela
| Value 25339 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48641 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48641 |
za_reg Region: South Africa
| Value 25438 | Frequency | |
|---|---|---|
| 1 | Western Cape | 338 |
| 2 | Eastern Cape | 329 |
| 3 | Northern Cape | 282 |
| 4 | Free State | 327 |
| 5 | Kwa-Zulu Natal | 486 |
| 6 | North West | 189 |
| 7 | Gauteng | 327 |
| 8 | Mpumalanga | 299 |
| 9 | Limpopo | 362 |
| 0 | NAP, other countries | 45702 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2939 | 45702 |
Valid range from 1 to 9
au_size Size of community: Australia
| Value 25537 | Frequency | |
|---|---|---|
| 1 | Inner metropolitan, over 100.000 people | 756 |
| 2 | Outer metropolitan, over 100.000 people | 844 |
| 3 | A large town, over 25.000 people | 366 |
| 4 | A larger country town, over 10.000 people | 173 |
| 5 | A small country town, under 10.000 people | 269 |
| 6 | A rural area or a village | 308 |
| 0 | NAP, other countries | 45860 |
| 99 | NA | 65 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2716 | 45925 |
Valid range from 1 to 6
ca_size Size of community: Canada
| Value 25636 | Frequency | |
|---|---|---|
| 1 | 1.000.000 and more | 82 |
| 2 | 750.000-999.999 | 66 |
| 3 | 500.000-749.999 | 78 |
| 4 | 250.000-499.999 | 76 |
| 5 | 100.000-249.999 | 146 |
| 6 | 50.000-99.999 | 86 |
| 7 | 10.000-49.999 | 219 |
| 8 | 1.000-9.999 | 100 |
| 9 | Less than 1.000 | 80 |
| 0 | NAP, other countries | 47708 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 933 | 47708 |
Valid range from 1 to 9
ch_size Size of community: Switzerland
| Value 25735 | Frequency | |
|---|---|---|
| 1 | 100.000 inhabitants and more | 70 |
| 2 | 20.000-99.999 inhabitants | 106 |
| 3 | 10.000-19.999 inhabitants | 200 |
| 4 | 5.000-9.999 inhabitants | 157 |
| 5 | 1.000-4.999 inhabitants | 361 |
| 6 | 999 inhabitants or less | 109 |
| 0 | NAP, other countries | 47638 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1003 | 47638 |
Valid range from 1 to 6
cl_size Size of community: Republic of Chile
| Value 25834 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48641 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48641 | 0 |
Valid range from 0 to 0
cz_size Size of community: Czech Republic
| Value 25933 | Frequency | |
|---|---|---|
| 1 | 1,2 Mill. (Prague) | 134 |
| 2 | City with 100.000 and more inhabitants | 94 |
| 3 | 50.000-99.999,large city | 108 |
| 4 | 10.000-49.999,larger town | 271 |
| 5 | 5.000-9.999,small town | 179 |
| 6 | 2.000-4.999,larger village | 152 |
| 7 | 1.000-1.999,village | 132 |
| 8 | Village with less than 1.000 inhabitants | 128 |
| 0 | NAP, other countries | 47440 |
| 99 | NA | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1198 | 47443 |
Valid range from 1 to 8
de_size Size of community: Germany
| Value 26032 | Frequency | |
|---|---|---|
| 1 | 500.000 inhabitants and more | 187 |
| 2 | 100.000-499.999 inhabitants | 247 |
| 3 | 50.000-99.999 inhabitants | 119 |
| 4 | 20.000-49.999 inhabitants | 271 |
| 5 | 5.000-19.999 inhabitants | 435 |
| 6 | 2.000-4.999 inhabitants | 190 |
| 7 | Up to 1.999 inhabitants | 194 |
| 0 | NAP, other countries | 46998 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1643 | 46998 |
Valid range from 1 to 7
dk_size Size of community: Denmark
| Value 26131 | Frequency | |
|---|---|---|
| 1 | Greater Copenhagen area | 266 |
| 2 | City,50.001-500.000 inhabitants | 222 |
| 3 | Town,city 10.001-50.000 inhabitants | 294 |
| 4 | Town,city 5.000-10.000 inhabitants | 164 |
| 5 | Town,less than 5.000 inhabitants | 308 |
| 0 | NAP, other countries | 47273 |
| 98 | DK | 96 |
| 99 | NA | 18 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1254 | 47387 |
Valid range from 1 to 5
do_size Size of community: Dominican Republic
| Value 26230 | Frequency | |
|---|---|---|
| 1 | Capital (Greater than 990 thousand) | 574 |
| 2 | Province 1 (550 to 990 thousand) | 369 |
| 3 | Province 2 (300 to 549 thousand) | 232 |
| 4 | Province 3 (200 to 299 thousand) | 277 |
| 5 | Province 4 (100 to 199 thousand) | 400 |
| 6 | Province 5 (Less than 100 thousand) | 254 |
| 0 | NAP, other countries | 46535 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2106 | 46535 |
Valid range from 1 to 6
es_size Size of community: Spain
| Value 26329 | Frequency | |
|---|---|---|
| 1 | More than 1.000.000 inhabitants | 245 |
| 2 | 400.001-1.000.000 inhabitants | 164 |
| 3 | 100.001-400.000 inhabitants | 555 |
| 4 | 50.001-100.000 inhabitants | 274 |
| 5 | 10.001-50.000 inhabitants | 655 |
| 6 | 2.001-10.000 innhabitants | 424 |
| 7 | 2.000 inhabitants or less | 200 |
| 0 | NAP, other countries | 46124 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2517 | 46124 |
Valid range from 1 to 7
fi_size Size of community: Finland
| Value 26428 | Frequency | |
|---|---|---|
| 1 | 180.000 and more | 273 |
| 2 | 50.000-179.999 | 203 |
| 3 | 20.000-49.999 | 241 |
| 4 | 8.000-19.999 | 228 |
| 5 | Less than 8.000 | 235 |
| 0 | NAP, other countries | 47452 |
| 98 | DK | 9 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1180 | 47461 |
Valid range from 1 to 5
fr_size Size of community: France
| Value 26527 | Frequency | |
|---|---|---|
| 1 | Greater Paris | 117 |
| 2 | More than 500.000 | 65 |
| 3 | 100.001-500.000 | 135 |
| 4 | 50.001-100.000 | 102 |
| 5 | 20.001-50.000 | 189 |
| 6 | 10.001-20.000 | 169 |
| 7 | 2.001-10.000 | 489 |
| 8 | 2.000 or less | 495 |
| 0 | NAP, other countries | 46817 |
| 99 | NA | 63 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1761 | 46880 |
Valid range from 1 to 8
gb_size Size of community: Great Britain
| Value 26626 | Frequency | |
|---|---|---|
| 1 | Less than 4.2 persons per square hectare | 243 |
| 2 | 4.2 to 19 persons per square hectare | 251 |
| 3 | 19 to 36.95 persons per square hectare | 254 |
| 4 | More than 36.95 persons per square hectare | 182 |
| 0 | NAP, other countries | 47711 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 930 | 47711 |
Valid range from 1 to 4
hr_size Size of community: Croatia
| Value 26725 | Frequency | |
|---|---|---|
| 1 | More than 100.000 inhabitants | 305 |
| 2 | 10.000?100.000 inhabitants | 234 |
| 3 | 2.000?10.000 inhabitants | 192 |
| 4 | Less than 2.000 inhabitants | 469 |
| 0 | NAP, other countries | 47441 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1200 | 47441 |
Valid range from 1 to 4
hu_size Size of community: Hungary
| Value 26824 | Frequency | |
|---|---|---|
| 1 | 2 mill.inhabitants,Budapest | 166 |
| 2 | More than 100.000 inhabitants | 97 |
| 3 | 50.001-100.000 inhabitants | 130 |
| 4 | 20.001-50.000 inhabitants | 124 |
| 5 | 10.001-20.000 inhabitants | 91 |
| 6 | 5.001-10.000 inhabitants | 109 |
| 7 | 2.001-5.000 inhabitants | 126 |
| 8 | Less than 2.000 inhabitants | 167 |
| 0 | NAP, other countries | 47631 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1010 | 47631 |
Valid range from 1 to 8
ie_size Size of community: Ireland
| Value 26923 | Frequency | |
|---|---|---|
| 1 | Dublin city and county | 218 |
| 2 | Large city (Waterford City, Galway City, Limerick City, Cork | 123 |
| 3 | Large town, 100.000 inhabitants or more | 87 |
| 4 | Small town, 3.000 to 9.999 | 76 |
| 5 | Village, up to 3.000 inhabitants | 135 |
| 6 | Open country | 352 |
| 0 | NAP, other countries | 47640 |
| 99 | NA | 10 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 991 | 47650 |
Valid range from 1 to 6
il_size Size of community: Israel
| Value 27022 | Frequency | |
|---|---|---|
| 1 | More than 100.000 | 565 |
| 2 | 50.001-100.000 | 176 |
| 3 | 20.001-50.000 | 242 |
| 4 | 10.001-20.000 | 108 |
| 5 | 5.001-10.000 | 180 |
| 6 | 2.501-5.000 | 41 |
| 7 | Less than 2.500 | 33 |
| 0 | NAP, other countries | 47296 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1345 | 47296 |
Valid range from 1 to 7
jp_size Size of community: Japan
| Value 27121 | Frequency | |
|---|---|---|
| 1 | 1.000.000 or more | 260 |
| 2 | 300.000-999.999 | 273 |
| 3 | 100.000-299.999 | 305 |
| 4 | 50.000-99.999 | 157 |
| 5 | Less than 50.000, town, village | 236 |
| 0 | NAP, other countries | 47410 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1231 | 47410 |
Valid range from 1 to 5
kr_size Size of community: South Korea
| Value 27220 | Frequency | |
|---|---|---|
| 1 | 1.000.001 and more, metropolitan city | 802 |
| 2 | 100.001-1.000.000, large city | 704 |
| 3 | 50.001-100.000, middle city | 91 |
| 4 | Less than 50.000, rural city | 8 |
| 0 | NAP, other countries | 47036 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1605 | 47036 |
Valid range from 1 to 4
lv_size Size of community: Latvia
| Value 27319 | Frequency | |
|---|---|---|
| 1 | More than 500.000 population | 339 |
| 2 | 100.001-500.000 population | 50 |
| 3 | 50.001-100.000 population | 96 |
| 4 | 20.001-50.000 population | 76 |
| 5 | 10.001-20.000 population | 50 |
| 6 | 5.001-10.000 population | 86 |
| 7 | 2.000-5.000 population | 104 |
| 8 | Less than 2.000 population | 268 |
| 0 | NAP, other countries | 47572 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1069 | 47572 |
Valid range from 1 to 8
nl_size Size of community: Netherlands
| Value 27418 | Frequency | |
|---|---|---|
| 1 | 250.000 inhabitants or more | 92 |
| 2 | 150.000-249.999 inhabitants | 45 |
| 3 | 100.000-149.999 inhabitants | 102 |
| 4 | 50.000-99.999 inhabitants | 174 |
| 5 | 20.000-49.999 inhabitants | 257 |
| 6 | 10.000-19.999 inhabitants | 201 |
| 7 | 5.000-9.999 inhabitants | 101 |
| 8 | Less than 5.000 inhabitants | 15 |
| 0 | NAP, other countries | 47648 |
| 99 | NA | 6 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 987 | 47654 |
Valid range from 1 to 8
no_size Size of community: Norway
| Value 27517 | Frequency | |
|---|---|---|
| 1 | 100.000 and more, urban, total population | 323 |
| 2 | 30.000-99.999 | 260 |
| 3 | 3.000-29.999 | 655 |
| 4 | Less than 3.000, rural | 92 |
| 0 | NAP, other countries | 47311 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1330 | 47311 |
Valid range from 1 to 4
nz_size Size of community: New Zealand
| Value 27616 | Frequency | |
|---|---|---|
| 1 | Large city 100.000 or more | 471 |
| 2 | Med city,50.000-99.999 | 123 |
| 3 | Small city, 30.000-49.999 | 137 |
| 4 | Large town, 10.000-29.999 | 116 |
| 5 | Small town, 1.000-9.999 | 158 |
| 6 | Village, less than 1.000 | 42 |
| 7 | Farm or rural property | 118 |
| 0 | NAP, other countries | 47378 |
| 99 | NA | 98 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1165 | 47476 |
Valid range from 1 to 7
ph_size Size of community: Philippines
| Value 27715 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48641 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48641 |
pl_size Size of community: Poland
| Value 27814 | Frequency | |
|---|---|---|
| 1 | More than 500.000 inhabitants | 177 |
| 2 | 250.000-500.000 inhabitants | 73 |
| 3 | 100.000-249.999 inhabitants | 143 |
| 4 | 50.000-99.999 inhabitants | 118 |
| 5 | 25.000-49.999 inhabitants | 85 |
| 6 | 10.000-24.999 inhabitants | 85 |
| 7 | Less than 10.000 inhabitants | 160 |
| 8 | Village | 452 |
| 0 | NAP, other countries | 47348 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1293 | 47348 |
Valid range from 1 to 8
pt_size Size of community: Portugal
| Value 27913 | Frequency | |
|---|---|---|
| 1 | More than 100.000 inhabitants | 155 |
| 2 | 20.000-100.000 inhabitants | 294 |
| 3 | 10.000-19.999 inhabitants | 164 |
| 4 | 2.000-9.999 inhabitants | 330 |
| 5 | Less than 2.000 inhabitants | 894 |
| 0 | NAP, other countries | 46804 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1837 | 46804 |
Valid range from 1 to 5
ru_size Size of community: Russia
| Value 28012 | Frequency | |
|---|---|---|
| 1 | More than 1.000.000 inhabitants | 694 |
| 2 | 500.001-1.000.000 inhabitants | 196 |
| 3 | 250.001-500.000 inhabitants | 241 |
| 4 | 100.001-250.000 inhabitants | 199 |
| 5 | 50.001-100.000 inhabitants | 187 |
| 6 | 20.001-50.000 inhabitants | 189 |
| 7 | Urban, 20.000 inhabitants or less | 152 |
| 8 | Rural | 549 |
| 0 | NAP, other countries | 46234 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2407 | 46234 |
Valid range from 1 to 8
se_size Size of community: Sweden
| Value 28111 | Frequency | |
|---|---|---|
| 1 | More than 300.000 inhabitants | 407 |
| 2 | 90.000-300.000 inhabitants | 429 |
| 3 | 27.000-90.000 inhabitans | 275 |
| 4 | Less than 27.000 inhabitants | 83 |
| 0 | NAP, other countries | 47447 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1194 | 47447 |
Valid range from 1 to 4
si_size Size of community: Slovenia
| Value 28210 | Frequency | |
|---|---|---|
| 1 | More than 50.000 inhabitants (Ljubljana,Maribor) | 134 |
| 2 | 10.000-50.000 inhabitants | 88 |
| 3 | 4.000-10.000 inhabitants | 98 |
| 4 | 2.000-4.000 inhabitants | 83 |
| 5 | 500-2.000 inhabitants | 279 |
| 6 | Less than 500 inh,single house | 310 |
| 0 | NAP, other countries | 47638 |
| 99 | NA | 11 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 992 | 47649 |
Valid range from 1 to 6
tw_size Size of community: Taiwan
| Value 2839 | Frequency | |
|---|---|---|
| 1 | More than 1.000.000 inhabitants | 395 |
| 2 | 250.001-1.000.000 inhabitants | 459 |
| 3 | 100.001-250.000 inhabitants | 384 |
| 4 | 50.001-100.000 inhabitants | 322 |
| 5 | 20.001-50.000 inhabitants | 296 |
| 6 | 10.001-20.000 inhabitants | 70 |
| 7 | 5.001-10.000 inhabitants | 43 |
| 8 | Up to 5.000 inhabitants | 0 |
| 0 | NAP, other countries | 46669 |
| 99 | DK, refused,not applicable | 3 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1969 | 46672 |
Valid range from 1 to 8
us_size Size of community: USA
| Value 2848 | Frequency | |
|---|---|---|
| 1 | 1-9 millions | 93 |
| 2 | 500.000-999.999 inhabitants | 82 |
| 3 | 100.000-499.999 inhabitants | 176 |
| 4 | 50.000-99.999 inhabitants | 203 |
| 5 | 10.000-49.999 inhabitants | 501 |
| 6 | 1.000-9.999 inhabitants | 439 |
| 7 | Less than 1.000 inhabitants | 24 |
| 0 | NAP, other countries | 47123 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1518 | 47123 |
Valid range from 1 to 7
uy_size Size of community: Uruguay
| Value 2857 | Frequency | |
|---|---|---|
| 1 | 1.592.302 urban population | 460 |
| 2 | 1.354.450 urban population | 571 |
| 0 | NAP, other countries | 47610 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 1031 | 47610 |
Valid range from 1 to 2
ve_size Size of community: Venezuela
| Value 2866 | Frequency | |
|---|---|---|
| 0 | Not available; NAP, other countries | 48641 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 0 | 48641 |
za_size Size of community: South Africa
| Value 2875 | Frequency | |
|---|---|---|
| 1 | Urban, formal | 1615 |
| 2 | Urban, informal | 357 |
| 3 | Tribal | 580 |
| 4 | Rural, formal | 387 |
| 0 | NAP, other countries | 45702 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 2939 | 45702 |
Valid range from 1 to 4
urbrural Type of community: Rs self-assessment
| Value 2884 | Frequency | |
|---|---|---|
| 1 | Urban,a big city | 15069 |
| 2 | Suburb,outskirt of a big city | 6717 |
| 3 | Town or small city | 10342 |
| 4 | Country village,other type of community | 11136 |
| 5 | Farm or home in the country | 2345 |
| 0 | Not available:CL,VE | 2705 |
| 9 | NA,dont know,refused | 327 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 45609 | 3032 |
Valid range from 1 to 5
ethnic Family origin, ethnic group, identity
| Value 2893 | Frequency | |
|---|---|---|
| 1 | Africa,Somalia,Sudan,Mandinka,Yoruba,ZA:South Africa | 217 |
| 2 | Aklanon,Romblon | 0 |
| 3 | Albanian | 1 |
| 4 | American,American only,America | 0 |
| 5 | American Indian,Navajo,Ind.Dialect | 24 |
| 6 | Arab,Muslim (Morocco,Algeria,Lybia) | 4 |
| 7 | Esperanto,Latin,Slavonik,Celtic | 0 |
| 8 | Asia,other Asian | 11 |
| 9 | Australia,Oceania | 0 |
| 10 | Austria,Austrian | 4 |
| 11 | Baltic,Latvian,Estonian,Lith. | 706 |
| 12 | Bangladesh,Bangladeshi,Bengali | 0 |
| 13 | Basque, Vasco | 0 |
| 14 | Belgium, Belgian | 5 |
| 15 | Belorussia, Bialorussia | 34 |
| 16 | Bicolano/Bikol | 69 |
| 17 | Black/African/Carribean,No-Spanish | 25 |
| 18 | Bosnian (SI:ethn.Muslim) | 11 |
| 19 | Bulgaria | 0 |
| 20 | Cajun/French Cajun | 1 |
| 21 | Canada,other Canada | 43 |
| 22 | Catalan-Valencian-Balear/Mallorquin | 0 |
| 23 | China,Cantonese,Hakka,Mandarin | 49 |
| 24 | Thai,Khmer,Vietnam,South-East Asia | 5 |
| 25 | Cook Island Maori | 5 |
| 26 | Creole,Surinam,Metis,Chavacano | 0 |
| 27 | Croatia | 22 |
| 28 | Czech Republic,Czechia,Czech | 0 |
| 29 | Czechoslovakia,Moravia,Czech-Slovak | 0 |
| 30 | Denmark,Danish | 5 |
| 31 | England,England&Wales,UK,English | 131 |
| 32 | Europe,White/European | 1029 |
| 33 | Fijian | 0 |
| 34 | Finland,FI:finnish speaking finns | 1153 |
| 35 | France,French | 36 |
| 36 | French Canada,French Canadian | 106 |
| 37 | Frisian | 0 |
| 38 | Germany,German (HU:German/Swab) | 1560 |
| 39 | Greece,Greek | 4 |
| 40 | Hebrew/Ivrit,Israel | 1 |
| 41 | Hungary,Hungarian | 965 |
| 42 | Ibanag | 0 |
| 43 | Ilocano | 97 |
| 44 | Ilonggo/Hiligaynon,Bantayanon | 142 |
| 45 | India,Hindi,Urdu,Gujarati,Tamil | 40 |
| 46 | Indonesian,Malay/Malaysian | 2 |
| 47 | Iranian,Persian/Farsi,Dari | 1 |
| 48 | Ireland,Irish/Irish Gaelic | 63 |
| 49 | Italy,Italian | 26 |
| 50 | Japan,Japanese | 1235 |
| 51 | Kapampangan/Pampangan | 0 |
| 52 | Kinaray-a | 0 |
| 53 | Korean | 4 |
| 54 | Maori+New Zealand | 136 |
| 55 | Maranaw/Maranao | 0 |
| 56 | Masbateno | 0 |
| 57 | Kurd,Assyria,Middle East,Lebanon | 1 |
| 58 | Netherlands,Dutch,Flemish | 9 |
| 59 | Nordic,Scandinavian other | 7 |
| 60 | North America | 0 |
| 61 | Norway, Norwegian | 2 |
| 62 | PACIFIC,Polynesian,Chamorro/Guam | 5 |
| 63 | Pakistan,Panjab/Punjabi,Pashto | 1 |
| 64 | Panggalatok/Pangasinan | 0 |
| 65 | Philippine other | 251 |
| 66 | Philippines,Tagalog,Filippino | 279 |
| 67 | Pidgin, PNG Pidgin | 0 |
| 68 | Poland,Polish,Pole | 32 |
| 69 | Portugal,Portuguese,ES:Galician | 4 |
| 70 | Romani, Gipsy | 53 |
| 71 | Romanian/Rumanian,RU:Moldavian | 2 |
| 72 | Russia,(former) USSR & Rep. | 2723 |
| 73 | Samal | 0 |
| 74 | Samic,Lapp | 0 |
| 75 | Samoan, Tokelauan | 17 |
| 76 | Scotland,Scots Gaelic, Scottish | 69 |
| 77 | Serbia,Serbian,Serb | 26 |
| 78 | Slovakia, Slovak | 2 |
| 79 | Slovenia,Slovenian,Slovene | 925 |
| 80 | South+Latin America,NL:Neth.Antilles | 3421 |
| 81 | Spanish, Castilian,Castellano | 6 |
| 82 | Swed,SE:both swedish citizen,FI:swedish speaking finns | 1018 |
| 82.1 | SE:One non-Swedish,One Swedish | 31 |
| 82.2 | SE:Both non-Swedish | 139 |
| 83 | Switzerland | 3 |
| 84 | Tatar | 2 |
| 85 | Tausug | 3 |
| 86 | Tongan,Niuean | 5 |
| 87 | Transcaucasian,Armenian | 1 |
| 88 | Turkey,Turkish | 25 |
| 89 | Ukraine,Ukrainian | 30 |
| 90 | USA | 1098 |
| 91 | Visayan/Cebuano,Boholano,Leyteno | 358 |
| 92 | Waray | 0 |
| 93 | Welsh | 0 |
| 94 | Yiddish/Jewish | 2 |
| 95 | Yugoslavia,Serbo-Croatian | 13 |
| 96 | Taiwan, Hakka, Holo, Fukienese, Aboriginal | 1961 |
| 97 | CA: Metis, Inuit, Eskimo | 0 |
| 98 | Other,mixed origin | 182 |
| 0 | Not available; Nap | 27705 |
| 99 | NA, dont know | 258 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 20678 | 27963 |
Valid range from 1 to 98
mode Administrative mode of data-collection
| Value 2902 | Frequency | |
|---|---|---|
| 10 | F2f,pap a pencil,no visuals | 3216 |
| 11 | F2f,pap a pencil,visuals | 17521 |
| 12 | F2f,pap a pencil,R readg questionnaire | 2407 |
| 13 | F2f,pap a pencil,interpreter,no visuals | 27 |
| 14 | F2f,pap a pencil,interpreter,visuals | 4139 |
| 20 | F2f,comp-assisted,no visuals | 2106 |
| 21 | F2f,comp-assisted,visuals | 2521 |
| 22 | F2f,comp-assisted,R readg questionnaire | 0 |
| 23 | F2f,comp-assisted,interpreter,no visuals | 0 |
| 24 | F2f,comp-assisted,interpreter,visuals | 0 |
| 30 | Self-compl,pap a pencil,interviewer attendg | 1668 |
| 31 | Self-compl,pap a pencil,drops-off,picks up later | 2161 |
| 32 | Self-compl,pap a pencil,drops-off,mailed back by R | 0 |
| 33 | Self-compl,pap a pencil,mailed to,hold for pick up | 0 |
| 34 | Self-compl,pap a pencil,mailed back by R | 12835 |
| 40 | Self-completion, computer assisted | 0 |
| 52 | DK: Telephone interview | 40 |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48641 | 0 |
Valid range from 10 to 52
weight Weighting factor
| Value 2911 | Frequency | |
|---|---|---|
| 1 | No weighting |
| Valid cases | Invalid cases | Minimum | Maximum | Arithmetic mean | Standard deviation |
|---|---|---|---|---|---|
| 48641 | 0 |
Valid range from 0.0184658549661811 to 21.1418437848259
Materials of the Study
- ISSP (2009). ISSP06 - ISSP: Role of Government IV (Questionaires for participating countries) [vprašalnik].
- ISSP (2009). ISSP06 - ISSP: Role of Government IV (Background variables) [vprašalnik].
- ISSP (2005). ISSP06 - ISSP: Role of Government IV (source questionnaire) [vprašalnik].
Study Results Materials
- ISSP (2009). ISSP06 - ISSP: Role of Government IV (Countries Reports) [ostali dokumenti].
- ISSP (2009). ISSP06 - ISSP: Role of Government IV (Study overview) [ostali dokumenti].
- ISSP (2009). ISSP06 - ISSP: Role of Government IV (Contents - modified table for Germany) [ostali dokumenti].
- ISSP (2008). ISSP06 - ISSP: Role of Government IV (Study monitoring) [ostali dokumenti].
Related Publications
- Mednarodna splošna družboslovna anketa = International Social Survey Programme (2006). Mednarodna splošna družboslovna anketa = International Social Survey Programme - home page.
- Zentralarchiv für Empirische Sozialforschung (2006). ISSP - The International Social Survey Programme.
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
3 - Polni opis raziskave in kodirna knjiga z imeni spremenljivk iz podatkovne datoteke.
CLASS OF THE STUDY
9 - najvišji rang, primerjalne ali kontinuirane raziskave, pomembne populacije, metodološko ustrezne
How to CITE this study?
ISSP raziskovalna skupina. (2009). Mednarodna splošna družboslovna anketa (ISSP), 2006: Vloga države IV [Data file]. Ljubljana: University of Ljubljana, Slovenian Social Science Data Archives. ADP - IDNo: ISSP06. Accessible at http://www.adp.fdv.uni-lj.si/opisi/issp06/
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
ISSP07 - Mednarodna splošna družboslovna anketa (ISSP), 2007: Prosti čas in šport I
ISSP08 - Mednarodna splošna družboslovna anketa (ISSP), 2008: Religija III
ISSP09 - Mednarodna splošna družboslovna anketa (ISSP), 2009: Družbena neenakost IV
ISSP10 - Mednarodna splošna družboslovna anketa (ISSP), 2010: Okolje III
ISSP11 - Mednarodna splošna družboslovna anketa (ISSP), 2011: Zdravje
ISSP13 - Mednarodna splošna družboslovna anketa (ISSP), 2013: Nacionalna identiteta III
ISSP14 - Mednarodna splošna družboslovna anketa (ISSP), 2014: Razumevanje vloge državljana II
ISSP15 - Mednarodna splošna družboslovna anketa (ISSP), 2015: Stališča o delu IV
ISSP16 - Mednarodna splošna družboslovna anketa (ISSP), 2016: Vloga države V
ISSP85 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države I
ISSP86 - Mednarodna splošna družboslovna anketa (ISSP): Družbeni stiki
ISSP87 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost I
ISSP88 - Mednarodna splošna družboslovna anketa (ISSP): Družina I
ISSP89 - Mednarodna splošna družboslovna anketa (ISSP): Stališča o delu I
ISSP90 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države II
ISSP91 - Mednarodna splošna družboslovna anketa (ISSP): Mednarodna raziskava o vernosti in cerkvi I
ISSP92 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost II
ISSP93 - Mednarodna splošna družboslovna anketa (ISSP): Ekologija
ISSP94 - Mednarodna splošna družboslovna anketa (ISSP): Družina II
ISSP95 - Mednarodna splošna družboslovna anketa (ISSP): Mednarodna raziskava narodne identitete
ISSP96 - Mednarodna splošna družboslovna anketa (ISSP): Vloga države III
ISSP97 - Mednarodna splošna družboslovna anketa (ISSP): Stališča o delu II
ISSP98 - Mednarodna splošna družboslovna anketa (ISSP): Raziskava o vernosti in cerkvi II
ISSP99 - Mednarodna splošna družboslovna anketa (ISSP): Neenakost III
SJM002 - Slovensko javno mnenje 2000/2: Raziskava o okolju in raziskava o medčloveških stikih (ISSP)
SJM034 - Slovensko javno mnenje 2003/4: Razumevanje vloge državljana / Mednarodna raziskava ISSP
SJM051 - Slovensko javno mnenje 2005/1: Mednarodna raziskava Stališča o delu
SJM932 - Slovensko javno mnenje 1993/2: Mednarodna raziskava o okolju in družini
SJM944 - Slovensko javno mnenje 1994/4: Mednarodna raziskava narodne identitete
SJM973 - Slovensko javno mnenje 1997/3: Mednarodna raziskava Stališča o delu in ekološka sondaža
SJM981 - Slovensko javno mnenje 1998/1: Mednarodna raziskava o neenakosti in religiji
SJMUST89 - Slovensko javno mnenje, 1989: Stališča o ustavnih dopolnilih
RECENTLY ADDED STUDIES
Analysis of Distance Learning during the First Wave of Covid-19 Epidemic in Slovenia, 2020
ADP ACTIVITIES
Delavnica NRRP in objava podatkov v ADP
Odprta znanost in Obzorje Evropa: zahteve, priporočila in dileme
CONFERENCES AND EVENTS
