GESIS - DBK - ZA5400
 

ZA5400: International Social Survey Programme: Social Inequality IV - ISSP 2009

Downloads and Data Access


On this page you find the complete metadata and an overview of all available data sets and documents for the requested study. The download of all files is possible from our central search page under the following link:
ZA5400 Downloads and Data Access.

Downloads

Data access

Datasets

sortsort

  • ZA5400_v4-0-0.dta.zip (Dataset) 5 MBytes
  • ZA5400_v4-0-0.sav.zip (Dataset) 7 MBytes
  • ZA5400_v4-0-0_Patch_V67-V68.sps (Dataset) 74 KBytes

Questionnaires

sortsort

  • ZA5400_bq.pdf (Questionnaire) 432 KBytes
  • ZA5400_q_all.zip (Questionnaire) 31 MBytes
  • ZA5400_q_ar.pdf (Questionnaire) 776 KBytes
  • ZA5400_q_at.pdf (Questionnaire) 122 KBytes
  • ZA5400_q_au.pdf (Questionnaire) 319 KBytes
  • ZA5400_q_be-nl.pdf (Questionnaire) 399 KBytes
  • ZA5400_q_bg.pdf (Questionnaire) 785 KBytes
  • ZA5400_q_ca-en.pdf (Questionnaire) 1 MByte
  • ZA5400_q_ca-fr.pdf (Questionnaire) 741 KBytes
  • ZA5400_q_ch.pdf (Questionnaire) 1 MByte
  • ZA5400_q_cl.pdf (Questionnaire) 508 KBytes
  • ZA5400_q_cn.pdf (Questionnaire) 629 KBytes
  • ZA5400_q_cy.pdf (Questionnaire) 561 KBytes
  • ZA5400_q_cz.pdf (Questionnaire) 328 KBytes
  • ZA5400_q_de.pdf (Questionnaire) 119 KBytes
  • ZA5400_q_dk.pdf (Questionnaire) 505 KBytes
  • ZA5400_q_ee-ee.pdf (Questionnaire) 118 KBytes
  • ZA5400_q_ee-ru.pdf (Questionnaire) 237 KBytes
  • ZA5400_q_es.pdf (Questionnaire) 414 KBytes
  • ZA5400_q_fi-fi.pdf (Questionnaire) 597 KBytes
  • ZA5400_q_fi-se.pdf (Questionnaire) 590 KBytes
  • ZA5400_q_fr.pdf (Questionnaire) 147 KBytes
  • ZA5400_q_gb.pdf (Questionnaire) 199 KBytes
  • ZA5400_q_hr.pdf (Questionnaire) 297 KBytes
  • ZA5400_q_hu.pdf (Questionnaire) 162 KBytes
  • ZA5400_q_il-ar.pdf (Questionnaire) 1 MByte
  • ZA5400_q_il-he.pdf (Questionnaire) 348 KBytes
  • ZA5400_q_il-ru.pdf (Questionnaire) 496 KBytes
  • ZA5400_q_is.pdf (Questionnaire) 426 KBytes
  • ZA5400_q_it.pdf (Questionnaire) 560 KBytes
  • ZA5400_q_jp.pdf (Questionnaire) 111 KBytes
  • ZA5400_q_kr.pdf (Questionnaire) 7 MBytes
  • ZA5400_q_lt.pdf (Questionnaire) 723 KBytes
  • ZA5400_q_lv-lv.pdf (Questionnaire) 475 KBytes
  • ZA5400_q_lv-ru.pdf (Questionnaire) 515 KBytes
  • ZA5400_q_no.pdf (Questionnaire) 309 KBytes
  • ZA5400_q_nz.pdf (Questionnaire) 193 KBytes
  • ZA5400_q_ph-bik.pdf (Questionnaire) 444 KBytes
  • ZA5400_q_ph-ceb.pdf (Questionnaire) 534 KBytes
  • ZA5400_q_ph-fil.pdf (Questionnaire) 566 KBytes
  • ZA5400_q_ph-hil.pdf (Questionnaire) 536 KBytes
  • ZA5400_q_ph-ilo.pdf (Questionnaire) 532 KBytes
  • ZA5400_q_ph-war.pdf (Questionnaire) 470 KBytes
  • ZA5400_q_pl.pdf (Questionnaire) 649 KBytes
  • ZA5400_q_pt.pdf (Questionnaire) 282 KBytes
  • ZA5400_q_ru.pdf (Questionnaire) 442 KBytes
  • ZA5400_q_se.pdf (Questionnaire) 417 KBytes
  • ZA5400_q_si.pdf (Questionnaire) 425 KBytes
  • ZA5400_q_sk-hu.pdf (Questionnaire) 329 KBytes
  • ZA5400_q_sk-sk.pdf (Questionnaire) 961 KBytes
  • ZA5400_q_tr.pdf (Questionnaire) 777 KBytes
  • ZA5400_q_tw.pdf (Questionnaire) 482 KBytes
  • ZA5400_q_ua-ru.pdf (Questionnaire) 2 MBytes
  • ZA5400_q_ua-ua.pdf (Questionnaire) 2 MBytes
  • ZA5400_q_us.pdf (Questionnaire) 689 KBytes
  • ZA5400_q_ve.pdf (Questionnaire) 101 KBytes
  • ZA5400_q_za-tn.pdf (Questionnaire) 1 MByte
  • ZA5400_q_za-ts.pdf (Questionnaire) 1 MByte
  • ZA5400_q_za-xh.pdf (Questionnaire) 1 MByte
  • ZA5400_q_za-zu.pdf (Questionnaire) 1 MByte

Codebooks

sortsort

  • ZA5400_cdb.pdf (Codebook) 8 MBytes

Other Documents

sortsort

  • ZA1490_all_Overview_Duplicated_Records.xlsx (Table) 203 KBytes
  • ZA5400_backgroundvar_all.zip (Other Document) 13 MBytes
  • ZA5400_backgroundvar_ar.pdf (Other Document) 291 KBytes
  • ZA5400_backgroundvar_at.pdf (Other Document) 284 KBytes
  • ZA5400_backgroundvar_au.pdf (Other Document) 436 KBytes
  • ZA5400_backgroundvar_be-fla.pdf (Other Document) 458 KBytes
  • ZA5400_backgroundvar_bg.pdf (Other Document) 822 KBytes
  • ZA5400_backgroundvar_ca.pdf (Other Document) 273 KBytes
  • ZA5400_backgroundvar_ch.pdf (Other Document) 668 KBytes
  • ZA5400_backgroundvar_cl.pdf (Other Document) 287 KBytes
  • ZA5400_backgroundvar_cn.pdf (Other Document) 350 KBytes
  • ZA5400_backgroundvar_cy.pdf (Other Document) 308 KBytes
  • ZA5400_backgroundvar_cz.pdf (Other Document) 308 KBytes
  • ZA5400_backgroundvar_de.pdf (Other Document) 613 KBytes
  • ZA5400_backgroundvar_dk.pdf (Other Document) 336 KBytes
  • ZA5400_backgroundvar_ee.pdf (Other Document) 503 KBytes
  • ZA5400_backgroundvar_fi.pdf (Other Document) 365 KBytes
  • ZA5400_backgroundvar_fr.pdf (Other Document) 350 KBytes
  • ZA5400_backgroundvar_gb.pdf (Other Document) 340 KBytes
  • ZA5400_backgroundvar_hr.pdf (Other Document) 308 KBytes
  • ZA5400_backgroundvar_il.pdf (Other Document) 391 KBytes
  • ZA5400_backgroundvar_is.pdf (Other Document) 305 KBytes
  • ZA5400_backgroundvar_it.pdf (Other Document) 239 KBytes
  • ZA5400_backgroundvar_jp.pdf (Other Document) 380 KBytes
  • ZA5400_backgroundvar_kr.pdf (Other Document) 636 KBytes
  • ZA5400_backgroundvar_lt.pdf (Other Document) 388 KBytes
  • ZA5400_backgroundvar_lv.pdf (Other Document) 318 KBytes
  • ZA5400_backgroundvar_no.pdf (Other Document) 334 KBytes
  • ZA5400_backgroundvar_nz.pdf (Other Document) 293 KBytes
  • ZA5400_backgroundvar_ph.pdf (Other Document) 325 KBytes
  • ZA5400_backgroundvar_pl.pdf (Other Document) 351 KBytes
  • ZA5400_backgroundvar_pt.pdf (Other Document) 279 KBytes
  • ZA5400_backgroundvar_ru.pdf (Other Document) 481 KBytes
  • ZA5400_backgroundvar_se.pdf (Other Document) 276 KBytes
  • ZA5400_backgroundvar_si.pdf (Other Document) 314 KBytes
  • ZA5400_backgroundvar_sk.pdf (Other Document) 345 KBytes
  • ZA5400_backgroundvar_tr.pdf (Other Document) 417 KBytes
  • ZA5400_backgroundvar_tw.pdf (Other Document) 548 KBytes
  • ZA5400_backgroundvar_ua.pdf (Other Document) 563 KBytes
  • ZA5400_backgroundvar_us.pdf (Other Document) 377 KBytes
  • ZA5400_backgroundvar_ve.pdf (Other Document) 114 KBytes
  • ZA5400_backgroundvar_za.pdf (Other Document) 365 KBytes
  • ZA5400_mr.pdf (Method Report) 235 KBytes
  • ZA5400_topics.pdf (Other Document) 73 KBytes
ZACAT online analysis and search in variable level documentation:
International Social Survey Programme: Social Inequality IV - ISSP 2009
Availability Availability A - Data and documents are released for academic research and teaching.
Download of Data and Documents Download of Data and Documents All downloads from this catalogue are free of charge. Data-sets available under access categories B and C must be ordered via the shopping cart with a few exceptions. Charges apply! Please respect our Terms of use.


Bibliographic Citation

Citation Citation ISSP Research Group (2017): International Social Survey Programme: Social Inequality IV - ISSP 2009. GESIS Data Archive, Cologne. ZA5400 Data file Version 4.0.0, https://doi.org/10.4232/1.12777
Study No.ZA5400
TitleInternational Social Survey Programme: Social Inequality IV - ISSP 2009
Current Version4.0.0, 2017-5-23, https://doi.org/10.4232/1.12777
Date of Collection08.02.2008 - 16.01.2012
Principal Investigator/ Authoring Entity, Institution
  • Jorrat, Jorge Raúl - CEDOP-UBA, Argentina
  • Evans, Ann - The Australian National University, Canberra, Australia
  • Haller, Max - Institut für Soziologie, Karl-Franzens-Universität Graz, Austria
  • Hadler, Markus - Institut für Soziologie, Karl-Franzens-Universität Graz, Austria
  • Agency for Social Analyses (ASA), Bulgaria
  • Segovia, Carolina - Centro de Estudios Públicos (CEP), Santiago, Chile
  • Bian, Yanjie - University of Minnesota, Minnesota, USA
  • Li, Lulu - Renmin University of China, Beijing, China
  • Institute for Social Research, Zagreb, Croatia
  • Papageorgiou, Bambos - Center of Applied Research, Cyprus College, Nicosia, Cyprus
  • Simonová, Natalie - Institute of Sociology, Academy of Sciences of the Czech Republic, Praha, Czech Republic
  • Matějů, Petr - Institute of Sociology, Academy of Sciences of the Czech Republic, Praha, Czech Republic
  • Clement, Sanne L. - Department of Economics, Politics and Public Administration, Aalborg University, Aalborg, Denmark
  • Andersen, Jørgen G. - Department of Political Science, University of Aarhus, Aarhus, Denmark
  • Harrits, Gitte S. - Department of Political Science, University of Aarhus, Aarhus, Denmark
  • Gundelach, Peter - Department of Sociology, University of Copenhagen, Copenhagen, Denmark
  • Kjær, Ulrik - Department of Political Science, University of Southern Denmark, Odense, Denmark
  • Lüchau, Peter - Institute of Philosophy, Education and Study of Religions, University of Southern Denmark, Odense, Denmark
  • Fridberg, Torben - The Danish National Institute of Social Research, Copenhagen, Denmark
  • Jæger, Mads - The Danish National Institute of Social Research, Copenhagen, Denmark
  • Helemäe, Jelena - Tallinn University, Tallinn, Estonia
  • Täht, Kadri - Tallinn University, Tallinn, Estonia
  • Pashkov, Marii - Tallinn University, Tallinn, Estonia
  • Carton, Ann - Vlaamse Overheid, Studiedienst van de Vlaamse Regering (Research Centre of the Flemish Government) (SVR), Flanders (Belgium)
  • Blom, Raimo - University of Tampere, Finland
  • Melin, Harri - University of Tampere, Finland
  • Forsé, Michel - FRANCE-ISSP (Centre de Recherche en Economie et Statistique, Laboratoire de Sociologie Quantitative), Malakoff, France
  • Lemel, Yannick - FRANCE-ISSP (Centre de Recherche en Economie et Statistique, Laboratoire de Sociologie Quantitative), Malakoff, France
  • Wolf, Christof - GESIS Leibniz Institut für Sozialwissenschaften, Mannheim, Germany
  • Park, Alison - National Centre for Social Research (NatCen), London, Great Britain
  • Robert, Peter - TÁRKI Social Research Institute, Budapest, Hungary
  • Ólafsdóttir, Sigrún - Boston University, Boston, USA
  • Bernburg, Jón Gunnar - University of Iceland, Reykjavík, Iceland
  • Lewin-Epstein, Noah - B.I. and Lucille Cohen, Institute for public opinion research, Tel Aviv, Israel
  • Meraviglia, Cinzia - Institute of Social Research, University of Eastern Piedmont, Italy
  • Hara, Miwako - NHK Broadcasting Culture Research Institute, Tokyo, Japan
  • Nishi, Kumiko - NHK Broadcasting Culture Research Institute, Tokyo, Japan
  • Aramaki, Hiroshi - NHK Broadcasting Culture Research Institute, Tokyo, Japan
  • Tabuns, Aivars - Institute of Philosophy and Sociology, University of Latvia, Latvia
  • Koroleva, Ilze - Institute of Philosophy and Sociology, University of Latvia, Latvia
  • Krupavičius, Algis - Policy and Public Administration Institute, Kaunas University of Technology, Kaunas, Lithuania
  • Gendall, Philip - Department of Communication, Journalism and Marketing, Massey University, Palmerston North, New Zealand
  • Skjåk, Knut K. - Norwegian Social Science Data Services, Bergen, Norway
  • Kolsrud, Kirstine - Norwegian Social Science Data Services, Bergen, Norway
  • Mortensen, Anne K. - Norwegian Social Science Data Services, Bergen, Norway
  • Social Weather Stations, Quezon City, Philippines
  • Cichomski, Bogdan - Institute for Social Studies, Warsaw University (ISS UW), Warsaw, Poland
  • Vala, Jorge - Instituto de Ciências Sociais da Universidade de Lisboa, Portugal
  • Khakhulina, Ludmilla - Levada Center, Moscow, Russia
  • Ramos, Alice - Instituto de Ciências Sociais da Universidade de Lisboa, Portugal
  • Institute for Sociology of Slovak Academy of Sciences, Bratislava, Slovakian Republic
  • Hafner-Fink, Mitja - Public Opinion and Mass Communication Research Centre (CJMMK), University of Ljubljana, Slovenia
  • Malnar, Brina - Public Opinion and Mass Communication Research Centre (CJMMK), University of Ljubljana, Slovenia
  • Toš, Niko - Public Opinion and Mass Communication Research Centre (CJMMK), University of Ljubljana, Slovenia
  • Struwig, Jare - Human Sciences Research Council (HSRC), Pretoria, South Africa
  • Kim, Sang-Wook - Department of Sociology, Sungkyunkwan University, Seoul, Korea
  • Diez-Nicholas, Juan - ASEP, Madrid, Spain
  • Edlund, Jonas - Department of Sociology, Umea University, Umea, Sweden
  • Svallfors, Stefan - Department of Sociology, Umea University, Umea, Sweden
  • Joye, Dominique - University of Lausanne, Switzerland
  • Chang, Ying-hwa - Institute of Sociology, Academia Sinica, Nankang, Taipei, Taiwan
  • Kalaycıoğlu, Ersin - Istanbul Policy Center-Sabancı University, Istanbul, Turkey
  • Çarkoğlu, Ali - Istanbul Policy Center-Sabancı University, Istanbul, Turkey
  • Paniotto, Volodimir - Kiev International Institute of Sociology (KIIS), Kiev, Ukraine
  • Makejev, S. - Department of Social Structures, Institute of Sociology, National Academy of Sciences of Ukraine (NASU), Kiev, Ukraine
  • Smith, Tom W. - National Opinion Research Center (NORC), Chicago, USA
  • Marsden, Peter V. - National Opinion Research Center (NORC), Chicago, USA
  • Hout, Michael - National Opinion Research Center (NORC), Chicago, USA
  • León, Roberto Briceño - LACSO, Laboratorio de Ciencias Sociales, Caracas, Venezuela
  • Ávila, Olga - LACSO, Laboratorio de Ciencias Sociales, Caracas, Venezuela
  • Camardiel, Alberto - LACSO/UCV, Laboratorio de Ciencias Sociales, Caracas, Venezuela

Content

AbstractSocial inequality. Themes: Importance of social background, merit, discrimination, corruption and good relations as prerequisites for success in society (wealthy family, well-educated parents, good education, ambitions, hard working, knowing the right people, political connections, giving bribes, person´s race and religion, gender); attitude towards equality of educational opportunity in one´s country (corruption as criteria for social mobility, only students from the best secondary schools have a good chance to obtain a university education, only rich people can afford the costs of attending university, same chances for everyone to enter university, regardless of gender, ethnicity or social background); opinion about own salary: actual occupational earning is adequate; estimation of actual and reasonable earnings for occupational groups: doctor, chairman of a large national corporation, shop assistant, unskilled worker in a factory, cabinet minister in the national government; income differences are too large in the respondent´s country; responsibility of government to reduce income differences; government should provide a decent standard of living for the unemployed and spend less on benefits for poor people; demand for higher taxes for people with high incomes; opinion on taxes for people with high income; justification of better medical supply and better education for people with higher income; perception of class conflicts between social groups in the country (poor and rich people, working class and middle class, management and workers, people at the top of society and people at the bottom); self-assessment and assessment of the family the respondent grew up in on a top-bottom-scale; social position compared to father (social mobility); salary criteria (scale: responsibility, education, needed support for family and children, quality of job performance or hard work at the job); feeling of a just payment; characterisation of the actual and the desired social system of the country, measured by classification on pyramid diagrams (image of society). Demography: sex; age; marital status; steady life partner; years of schooling; highest education level; country specific education and degree; current employment status (respondent and partner); hours worked weekly; occupation (ISCO 1988) (respondent and partner); supervising function at work; working for private or public sector or self-employed (respondent and partner); if self-employed: number of employees; trade union membership; earnings of respondent (country specific); family income (country specific); size of household; household composition; party affiliation (left-right); country specific party affiliation; participation in last election; religious denomination; religious main groups; attendance of religious services; self-placement on a top-bottom scale; region (country specific); size of community (country specific); type of community: urban-rural area; country of origin or ethnic group affiliation; occupation status and profession of respondent´s father and mother during the youth of the respondent (ISCO 88); number of books in the parental home during the youth of the respondent (cultural resources); occupational status and profession in the first job and the current job (ISCO 88 and working type); self-assessment of the social class; estimated amount of family wealth (monetary value of assets); work orientation: self-characterisation at this time and in the youth of the respondent concerning his performance at work respectively at school. Additionally coded: administrative mode of data-collection; weighting factor; case substitution.
Categories Categories
  • Social Policy
Topics Topics
  • 13.5 Equality and inequality

Methodology

Geographic Coverage
  • Argentina (AR)
  • Australia (AU)
  • Austria (AT)
  • Bulgaria (BG)
  • Chile (CL)
  • China (CN)
  • Croatia (HR)
  • Cyprus (CY)
  • Czech Republic (CZ)
  • Denmark (DK)
  • Estonia (EE)
  • Belgium (BE), Flanders
  • Finland (FI)
  • France (FR)
  • Germany (DE)
  • Great Britain (GB-GBN)
  • Hungary (HU)
  • Iceland (IS)
  • Israel (IL)
  • Italy (IT)
  • Japan (JP)
  • Latvia (LV)
  • Lithuania (LT)
  • New Zealand (NZ)
  • Norway (NO)
  • Philippines (PH)
  • Poland (PL)
  • Portugal (PT)
  • Slovakia (SK)
  • Slovenia (SI)
  • South Africa (ZA)
  • Korea, Republic of (KR)
  • Russian Federation (RU)
  • Spain (ES)
  • Sweden (SE)
  • Switzerland (CH)
  • Taiwan (TW)
  • Turkey (TR)
  • Ukraine (UA)
  • United States of America (US)
  • Venezuela, Bolivarian Republic of (VE)
UniversePersons aged 18 and older (Finland: 15-74, Italy, Japan: 16 and older, Norway: 19-80, Sweden: 17-79)
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability
Sampling procedures differ for the individual countries: partly simple, partly multi-stage stratified random samples
Mode of Collection Mode of Collection
  • Interview
  • Self-administered questionnaire
Mode of interview differs for the individual countries: partly face-to-face interviews (partly CAPI) with standardized questionnaire, partly paper and pencil and postal survey
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
Data CollectorArgentina: Cualitativo y Cuantitativo; Australia: Academic Surveys Australia, Black Rock, Melbourne; Austria: Institute for Empirical Social Research (IFES), Vienna; Bulgaria: ProField Data Partners; Chile: ICCOM, Santiago; China: ACSR-Millward Brown; Croatia: Institute for Social Research, Zagreb; Cyprus: Center of Applied Research, Cyprus College, Nicosia (field time unknown); Czech Republic: SC&C spol. s r. o.; Denmark: SFI SURVEY, Copenhagen; Estonia: Turu-uuringute AS; Flanders (Belgium): TNS Dimarso, Brussels; Finland: Statistics Finland, Social Survey Unit, Helsinki; France: FRANCE-ISSP (Centre de Recherche en Economie et Statistique, Laboratoire de Sociologie Quantitative), Malakoff; Germany: TNS Infratest, München; Great Britain: National Centre for Social Research (NatCen), London; Hungary: TÁRKI Social Research Institute, Budapest; Iceland: The Social Science Research Institute, University of Iceland, Reykjavík; Israel: B.I. and Lucille Cohen, Institute for public opinion research, Tel Aviv; Italy: Marker S.r.l., Mestre (Venice); Japan: Central Research Services, Tokyo; Latvia: Institute of Philosophy and Sociology, University of Latvia; Lithuania: RAIT, Ltd., Market Analysis and Research Group, Vilnius; New Zealand: Department of Communication, Journalism and Marketing, Massey University, Palmerston North; Norway: Statistics Norway; Philippines: Social Weather Stations, Quezon City; Poland: Public Opinion Research Center (CBOS), Warsaw; Portugal: Instituto de Ciências Sociais da Universidade de Lisboa; Russia: Analytic Levada Center ( Levada-Center), Moscow; Slovakian Republic: FOCUS, Bratislava; Slovenia: Public Opinion and Mass Communication Research Centre (CJMMK), University of Ljubljana; South Africa: Human Sciences Research Council (HSRC), Pretoria; South Korea: Survey Research Center at Sungkyunkwan University, Seoul, Korea; Spain: INTERCAMPO, Madrid; Sweden: SIFO Research and Consulting , Stockholm; Switzerland: MIS Trend, Lausanne; Taiwan: Center for Survey Research, Academia Sinica, Nankang, Taipei; Turkey: Infakto Research Workshop, Istanbul; Ukraine: Kiev International Institute of Sociology (KIIS), Kiev; USA: National Opinion Research Center (NORC), Chicago; Venezuela: Instituto DELPHOS, Caracas
Date of Collection
  • 08.07.2010 - 01.11.2010 (Argentina)
  • 02.12.2009 - 28.02.2010 (Australia)
  • 07.2010 - 09.2010 (Austria)
  • 15.12.2008 - 26.01.2009 (Bulgaria)
  • 14.05.2009 - 03.06.2009 (Chile)
  • 02.10.2008 - 25.12.2008 (China)
  • 01.06.2009 - 15.09.2009 (Croatia)
  • 15.09.2008 - 29.09.2008 (Czech Republic)
  • 14.09.2009 - 11.01.2010 (Denmark)
  • 04.06.2010 - 25.07.2010 (Estonia)
  • 13.03.2009 - 25.07.2009 (Flanders (Belgium))
  • 01.10.2009 - 22.12.2009 (Finland)
  • 04.2009 - 07.2009 (France)
  • 08.06.2009 - 16.11.2009 (Great Britain)
  • 05.11.2009 - 21.11.2009 (Hungary)
  • 15.09.2009 - 15.02.2010 (Israel)
  • 23.06.2011 - 16.01.2012 (Italy)
  • 21.11.2009 - 29.11.2009 (Japan)
  • 12.06.2009 - 06.07.2009 (Latvia)
  • 30.11.2010 - 03.02.2011 (Lithuania)
  • 29.07.2009 - 30.11.2009 (New Zealand)
  • 16.10.2009 - 07.05.2010 (Norway)
  • 01.10.2009 - 04.10.2009 (Philippines)
  • 02.06.2010 - 09.07.2010 (Poland)
  • 06.2009 - 11.2009 (Portugal)
  • 21.09.2009 - 22.10.2009 (Slovakian Republic)
  • 24.03.2009 - 04.06.2009 (Slovenia)
  • 01.11.2009 - 10.12.2009 (South Africa)
  • 29.06.2009 - 31.08.2009 (South Korea)
  • 10.11.2009 - 30.11.2009 (Spain)
  • 23.02.2009 - 06.05.2009 (Sweden)
  • 08.02.2008 - 05.09.2009 (Switzerland)
  • 15.07.2009 - 16.10.2009 (Taiwan)
  • 12.06.2009 - 21.06.2009 (Ukraine)
  • 31.05.2010 - 01.11.2010 (Germany)
  • 11.2009 - 05.2010 (Iceland)
  • 02.12.2009 - 24.12.2009 (Russia)
  • 23.10.2009 - 05.01.2010 (Turkey)
  • 18.03.2010 - 14.08.2010 (USA)
  • 01.06.2010 - 30.06.2010 (Venezuela)

Errata & Versions

VersionDate, Name, DOI
4.0.0 (current version)2017-5-23 Lithuania added and errata corrected https://doi.org/10.4232/1.12777
3.0.02012-12-31 Third Release (40 countries) https://doi.org/10.4232/1.11506
2.0.02012-1-16 Full Release (covers 38 countries) https://doi.org/10.4232/1.11090
1.0.02011-7-5 first archive edition https://doi.org/10.4232/1.10736
Errata in current version
DateSubjectDescription
2018-2-1Information on identified duplicated records in ISSP datasets:Please, check in document ‘ZA1490_All_Overview_Duplicated Records.xlsx’ in tab ‘Data & Documents’, subtab ’Other Documents’, whether the dataset at hand contains any identified duplicated records. The document also offers recommendations for treatment.
2018-12-14Patch for V67 ´Q21a How much money would be left if the home you and your family live in was sold without any debts?´ and V68 ´Q21b About how much money would be left if you and/ or your immediate family converted to cash all savings?´ availableThere is a patch file available that serves to simplify the use of V67 ´Q21a How much money would be left if the home you and your family live in was sold without any debts?´ and V68 ´Q21b About how much money would be left if you and/ or your immediate family converted to cash all savings?´ in data analyses. By running the syntax commands, V67 and V68 are split to country-specific variables. As values, class midpoints are computed for each country and monetary class, see ´ZA5400_v4-0-0-0_Patch V67-V68.sps´ under tab ´Data & Documents´ here in the DBK.
Version changes
Changes between version 4.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2017-5-23Duplicate records: NorwayFor Norway, 210 duplicate records have been detected.2017-5-23All detected duplicates have been removed from the data set. For more information, see study description for Norway in the Appendix A of the Variable Report (see ZA5400_cdb.pdf in ´Codebooks´ within the tab ´Data & Documents´ here in the Data Catalogue).
2017-5-23Duplicate records: VenezuelaFor Venezuela, 30 duplicate records have been detected.2017-5-23All detected duplicates have been removed from the data set. For more information, see study description for Venezuela in the Appendix A of the Variable Report (see ZA5400_cdb.pdf in ´Codebooks´ within the tab ´Data & Documents´ here in the Data Catalogue).
2013-8-16V57 (ILO/ISCO father) and V60 (ILO/ISCO mother) - Philippines: Data errorSubstantial data error in variables V57 and V60 of the Philippines. Corrected version available on request (e-mail: isspservice@gesis.org).2017-5-23Fixed.
2014-6-5ETHNIC (Family origin, ethnic group, identity) - Sweden: Data errorThe Swedish answer categories of the question on family origin, variable ETHNIC, are incomplete. A correct version with complete information for all cases (codes 82 ´Both parents Swedish citizen´, code 82.1 ´One non-Swedish, one Swedish´ and code 82.2 ´Both non-Swedish´ is available on request. Please contact the ISSP Data Service (e-mail): isspservice@gesis.org. 2017-5-23Fixed.
2014-6-3V45 Q10b Where did the family that you grew up in, fit in then? - United States: Data errorIn case of United States, the scale of V45 is reversed in the international file of Social Inequality IV (v3.0.0). Please apply the syntax below: do if v5=840. recode v45 (1=10) (2=9) (3=8) (4=7) (5=6) (6=5) (7=4) (8=3) (9=2) (10=1) (else=copy). end if. execute. 2017-5-23Fixed.
2014-8-13V66 Q20 Which social class would you say you belong to? - South Africa: Data errorIn case of South Africa, a primary investigator alerted us to a substantial data error in V66 (Social class) in the international file on Social Inequality IV (v3.0.0). We urgently advise not to use the variable for further analysis. The correct data can be provided on demand. Please contact the ISSP Data Service (e-mail: isspservice@gesis.org).2017-5-23Fixed.
2014-8-13V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Switzerland: Labelling errorThere is a gap in the Swiss answer categories of V68 (Q21b). For implementing the correct value labels, run the following command: Add val lab V68 75601 "CH: 1-25.000 CHF" 75602 "CH: 25.000-40.000 CHF" 75603 "CH: 40.000 - 75.0000 CHF" 75604 "CH: 75.000- 120.000 CHF" 75605 "CH: 120.000 - 180.000 CHF" 75606 "CH: 180.000 - 300.000 CHF" 75607 "CH: 300.000 - 500.000 CHF" 75608 "CH: 500.000 - 750.000 CHF" 75609 "CH: 750.000 - 1.000.0000 CHF" 75610 "CH: More than 1.000.0000 CHF". execute. 2017-5-23Fixed.
2016-2-26V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Croatia: Misleading categorizationThe original categories for Croatia were: 1 ´Just debts´, 2 ´I/we do not own a home´, 3 ´1-25.000 KN´, 4 ´26.000-40.000 KN´, 5 ´41.000-55.000 KN´, 6 ´56.000-70.000 KN´, 7 ´71.000-90.000 KN´, 8 ´91.000-120.000 KN´, 9 ´121.000-180.000 KN´, 10 ´181.000-300.000 KN´, 11 ´301.000-500.000 KN´ and 12 ´More than 500.000 KN´. Since there were no cases for categories 3 to 8, in the integrated file the first Croatian category 19101 starts with the original category 9 ´181.000-300.000´. Please revise this by the following SPSS-syntax: Do if C_ALPHAN=´HR´. Recode V67 (19101=19107) (19102=19108) (19103=19109) (19104=19110) (else=copy). Execute.2017-5-23Fixed. Croatia´s prinical investigator checked all original cases again but, in fact, none of the respondents selected one of the catogories 19101 to 19106. The currency in the value labels needed to be corrected from KN into EUR.
2016-2-26V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Croatia: Misleading categorizationThe original categories for Croatia were: 1 ´Just debts´, 2 ´Nothing´, 3 ´Up to 3.000 KN´, 4 ´3.001-8.000 KN´, 5 ´8.001-15.000 KN´, 6 ´15.001-25.000 KN´, 7 ´25.001-45.000 KN´, 8 ´45.001-75.000 KN´, 9 ´75.001-150.000 KN´, 10 ´150.001-300.000 KN´, 11 ´300.001-500.000 KN´, 12 ´More than 500.000 KN´. Since there were no cases for categories 3 to 9, in the integrated file the first Croatian category 19101 starts with the original category 10 ´151.000-300.000´ etc. Please revise this by the following SPSS-syntax: Do if C_ALPHAN=´HR´. Recode V68 (19101=19108) (19102=19109) (19103=19110) (else=copy). Execute.2017-5-23Fixed. Croatia´s prinical investigator checked all original cases again but, in fact, none of the respondents selected one of the catogories 19101 to 19107.
2016-9-16V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Germany: Wrong value labelsThe country-specific value labels for Germany are wrong. The correct value labels for Germany are: 1 Just debts, 2 I/we do not own a home, 27601 DE: 0-59.999 EUR, 27602 DE: 60.000-89. 999 EUR, 27603 DE: 90.000-119. 999 EUR, 27604 DE: 120.000-149. 999 EUR, 27605 DE: 150.000-199. 999 EUR, 27606 DE: 200.000-299. 999 EUR, 27607 DE: 300.000-499. 999 EUR, 27608 DE: 500.000-799. 999 EUR, 27609 DE: 800.000-1.199. 999 EUR, 27610 DE: 1.200.000 EUR or more2017-5-23Fixed.
2016-9-16V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Germany: Wrong value labelsThe country-specific value labels for Germany are wrong. The correct value labels for Germany are: 1 Just debts, 2 Nothing, 27601 DE: 1 BIS 9.999 EUR, 27602 DE: 10.000-19.999 EUR, 27603 DE: 20.000-29.999 EUR, 27604 DE: 30.000-39.999 EUR, 27605 DE: 40.000-49.999 EUR, 27606 DE: 50.000-79.999 EUR, 27607 DE: 80.000-119.999 EUR, 27608 DE: 120.000-199.999 EUR, 27609 DE: 200.000-299.999 EUR, 27610 DE: 300.000 EUR or more2017-5-23Fixed.
2016-9-27V67+V68/ Q21a+Q21b - Taiwan: Error in value labels of category 15809The value labels of category 15809 should read ´TW: TWD 20.000.000 - TWD 29.999.999´.2017-5-23Fixed.
2016-9-27V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Denmark: Error in value labels of categories 20802 + 20809The value label of category 20802 should read ´DK: DKK 100.000 - DKK 199.999´and of category 20809 ´DK: DKK 1.000.000 - DKK 3.000.000´.2017-5-23Fixed.
2016-9-28V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Japan: Wrong value labelsThe country-specific value labels for Japan are wrong. The correct value labels for Japan are: 1 ´Just debts´, 2 ´I/we do not own a home´, 39201 ´JP: 1 -less than 2.000.000 JPY´, 39202 ´JP: 2.000.000 - less than 4.000.000 JPY´, 39203 ´JP: 4.000.000 - less than 6.000.000 JPY´, 39204 ´JP: 6.000.000 - less than 8.000.000 JPY´, 39205 ´JP: 8.000.000 - less than 10.000.000 JPY´, 39206 ´JP: 10.000.000 - less than 20.000.000 JPY´, 39207 ´JP: 20.000.000 - less than 40.000.000 JPY´, 39208 ´JP: 40.000.000 - less than 60.000.000 JPY´, 39209 ´JP: 60.000.000 - less than 80.000.000 JPY´, 39210 ´JP: 80.000.000 JPY or more´.2017-5-23Fixed.
2016-9-28V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Japan: Wrong value labelsThe country-specific value labels for Japan are wrong. The correct value labels for Japan are: 1 ´Just debts´, 2 ´Nothing´, 39201 ´JP: 1 – less than 2.500.000 JPY´, 39202 ´JP: 2.500.000 – less than 5.000.000 JPY´, 39203 ´JP: 5.000.000 – less than 10.000.000 JPY´, 39204 ´JP: 10.000.000 – less than 15.000.000 JPY´, 39205 ´JP: 15.000.000 – less than 20.000.000 JPY´, 39206 ´JP: 20.000.000 – less than 40.000.000 JPY´, 39207 ´JP: 40.000.000 – less than 60.000.000 JPY´, 39208 ´JP: 60.000.000 – less than 80.000.000 JPY´, 39209 ´JP: 80.000.000 – less than 100.000.000 JPY´, 39210 ´JP: 100.000.000 JPY or more´.2017-5-23Fixed.
2016-9-28V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Norway: Wrong value labelsThe country-specific value labels for Norway are wrong. The correct value labels for Norway are: 1 ´Just debts´, 2 ´I/we do not own a home´, 57801 ´NO: Less than 300.000 NOK´, 57802 ´NO: 300.000-400.000 NOK´, 57803 ´NO: 400.0000-600.000 NOK´, 57804 ´NO: 600.0000-1.000.000 NOK´, 57805 ´NO: 1.000.000-1.500.000 NOK´, 57806 ´NO: 1.500.000-2.500.000 NOK´, 57807 ´NO: 2.500.000-4.000.000 NOK´, 57808 ´NO: 4.000.000-6.000.000 NOK´, 57809 ´NO: 6.000.000-8.000.000 NOK´, 57810 ´NO: More than 8.000.000 NOK´.2017-5-23Fixed.
2016-10-4V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Belgium (Flanders): Wrong value labelsThe country-specific value labels for Belgium (Flanders) are wrong. The correct value labels for Belgium (Flanders) are: 1 ´Just debts´, 2 ´I/we do not own a home´, 5601 BE-FLA: 1-40.000 EUR, 5602 BE-FLA: 40.000-80.000 EUR, 5603 BE-FLA: 80.000-120.000 EUR, 5604 BE-FLA: 120.000-160.000 EUR, 5605 BE-FLA: 160.000-200.000 EUR, 5606 BE-FLA: 200.000-300.000 EUR, 5607 BE-FLA: 300.000-500.000 EUR, 5608 BE-FLA: 500.000-800.000 EUR, 5609 BE-FLA: 800.000-1.200.000 EUR, 5610 BE-FLA: More than 1.200.000 EUR.2017-5-23Fixed.
2016-10-4V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Belgium (Flanders): Wrong value labelsThe country-specific value labels for Belgium (Flanders) are wrong. The correct value labels for Belgium (Flanders) are: 1 ´Just debts´, 2 ´Nothing´, 5601 BE-FLA: 1-30.000 EUR, 5602 BE-FLA: 30.000-60.000 EUR, 5603 BE-FLA: 60.000-90.000 EUR, 5604 BE-FLA: 90.000-120.000 EUR, 5605 BE-FLA: 120.000-160.000 EUR, 5606 BE-FLA: 160.000-200.000 EUR, 5607 BE-FLA: 200.000-400.000 EUR, 5608 BE-FLA: 400.000-700.000 EUR, 5609 BE-FLA: 700.000-1.000.000 EUR, 5610 BE-FLA: More than 1.000.000 EUR.2017-5-23Fixed.
2016-10-4V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Slovenia: Wrong value labelsThe country-specific value labels for Slovenia are wrong. The correct value labels for Slovenia are: 1 ´Just debts´, 2 ´I/we do not own a home´, 70501: 1 - 35.000 EUR, 70502: 35.000 - 60.000 EUR, 70503: 60.000 - 85.000 EUR, 70504: 85.000 - 110.000 EUR, 70505: 110.000 - 200.000 EUR, 70506: 200.000 - 350.000 EUR, 70507: 350.000 - 500.000 EUR, 70508: 500.00 - 650.000 EUR, 70509: 650.000 - 800.000 EUR, 70510: More than 800.000 EUR.2017-5-23Fixed.
2016-10-4V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Slovenia: Wrong value labelsThe country-specific value labels for Slovenia are wrong. The correct value labels for Slovenia are: 1 ´Just debts´, 2 ´Nothing´, 70501: 1 - 12.000 EUR, 70502: 12.000 - 20.000 EUR, 70503: 20.000 - 30.000 EUR, 70504: 30.000 - 40.000 EUR, 70505: 40.000 - 60.000 EUR, 70506: 60.000 - 120.000 EUR, 70507: 120.000 - 180.000 EUR, 70508: 180.00 - 240.000 EUR, 70509: 240.000 - 300.000 EUR, 70510: More than 300.000 EUR.2017-5-23Fixed.
2016-10-5V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Slovakia: Wrong value labelsThe country-specific value labels for Slovakia are wrong. The correct value labels for Slovakia are: 1 Just debts, 2 I/we do not own a home, 70301: 0 – 13.500 EUR (0- 400 000 SKK), 70302: 13.501 - 24.000 EUR (400 000 - 700 000 SKK), 70303: 24.001 - 35.000 EUR (700 000 - 1 050 000 SKK), 70304: 35.001 - 45.000 EUR (1 050 000 - 1 350 000 SKK), 70305: 45.001 - 80.000 EUR (1 350 000 – 2 500 000 SKK), 70306: 80.001 - 145.000 EUR (2 500 000 – 4 300 000 SKK), 70307: 145.001 - 210.000 EUR (4 300 000 – 6 200 000 SKK), 70308: 210.001 - 270.000 EUR ( 6 200 000 – 8 000 000 SKK), 70309: 270.001 - 400.000 EUR (8 000 000 – 12 000 000 SKK), 70310: More than 400.000 EUR (More than 12 000 000 SKK).2017-5-23Fixed.
2016-10-5V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Slovakia: Wrong value labelsThe country-specific value labels for Slovakia are wrong. The correct value labels for Slovakia are: 1 Just debts, 2 Nothing, 70301: Up to 5.000 EUR (up to 150 000 SKK), 70302: 5.001 – 8.500 EUR (150 000 - 250 000 SKK), 70303: 8.501 – 12.000 EUR (250 000 – 350 000 SKK), 70304: 12.001 – 15.500 EUR (350 000 – 450 000 SKK), 70305: 15.501 – 28.500 EUR (450 000 – 850 000 SKK), 70306: 28.501 – 50.000 EUR (850 000 – 1 500 000 SKK), 70307: 50.001 – 72.000 EUR (1 500 000 – 2 200 000 SKK), 70308: 72.001 – 95.000 EUR (2 200 000 – 2 900 000 SKK), 70309: 95.001 – 120.000 EUR (2 900 000 – 3 600 000 SKK), 70310: More than 120.000 EUR (More than 3 600 000 SKK).2017-5-23Fixed.
2016-10-6V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - South Korea: Wrong value labelsThe country-specific value labels for South Korea are wrong. The correct value labels for South Korea are: 1 Just debts, 2 I/we do not own a home, 41001 KR: 1-50.000.000 KRW, 41002 KR: 50.000.000-75.000.000 KRW, 41003 KR: 75.000.000-100.000.000 KRW, 41004 KR: 100.000.000-125.000.000 KRW, 41005 KR: 125.000.000-150.000.000 KRW, 41006 KR: 150.000.000-175.000.000 KRW, 41007 KR: 175.000.000-200.000.000 KRW, 41008 KR: 200.000.000-250.000.000 KRW, 41009 KR: 250.000.000-350.000.000 KRW, 41010 KR: More than 350.000.000 KRW.2017-5-23Fixed.
2016-10-6V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - South Korea: Wrong value labelsThe country-specific value labels for South Korea are wrong. The correct value labels for South Korea are: 1 Just debts, 2 Nothing, 41001 KR: 1-10.000.000 KRW, 41002 KR: 10.000.000-20.000.000 KRW, 41003 KR: 20.000.000-30.000.000 KRW, 41004 KR: 30.000.000-40.000.000 KRW, 41005 KR: 40.000.000-50.000.000 KRW, 41006 KR: 50.000.000-60.000.000 KRW, 41007 KR: 60.000.000-70.000.000 KRW, 41008 KR: 70.000.000-80.000.000 KRW, 41009 KR: 80.000.000-100.000.000 KRW, 41010 KR: More than 100.000.000 KRW.2017-5-23Fixed.
2016-11-24V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Great Britain: British answer categories not recoded to ISSP standardThe original answer categories were provided in a different order in the British questionnaire and have not been recoded to the ISSP standard. The following recode command solves this problem: recode V67 (2=82601) (82601=82602) (82602=82603) (82603=82604) (82604=82605) (82605=82606) (82606=82607) (82607=82608) (82608=82609) (82609=82610) (82610=2) (else=copy).exe.2017-5-23Fixed.
2016-10-11V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Venezuela: Incomplete value labelsThe country-specific value labels for Venezuela are incomplete. The correct value labels for Venezuela are: 1 Just debts, 2 I/we do not own a home, 86201 VE: 1–300.000 VEF, 86202 VE: 300.000–600.000 VEF, 86203 VE: 600.000–900.000 VEF, 86204 VE: 900.000–1.200.000 VEF, 86205 VE: 1.200.000–1.600.000 VEF, 86206 VE: 1.600.000–2.000.000 VEF, 86207 VE: 2.000.000–4.000.000 VEF, 86208 VE: 4.000.000–7.000.000 VEF, 86209 VE: 7.000.000–10.000.000 VEF, 86210 VE: More than 10.000.000 VEF.2017-5-23Fixed.
2017-5-23V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Venezuela: Different answer scale used The answer scale in the Venezuelan questionnaire differs for this question with respect to category 1 ´Just debts´ and 2 ´Nothing´. Both categories are asked in one and are labeld as category 1 ´Nothing, just debts´ in the integrated file. 2017-5-23Fixed.
2016-11-7V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Turkey: Scale incomplete and departing from standardPlease don´t use this variable for data analysis, the Turkish data is not comparable to other countries´ data due to the fact that the transmission of the suggested monetary categories of the basic questionnaire has failed for the Turkish questionnaire.2017-5-23Fixed by putting all Turkish cases to category 0 ´Not available´.
2017-4-20MARITAL (R: Marital status) - Russia: Categories not recoded into harmonized ISSP standardFor Russia, the categories of the variable MARITAL has not been recoded into the harmonized ISSP standard categories and are still in the original order of the national questionnaire. You can fix this problem by the following recode command: do if V5=643. Recode MARITAL (1=5) (2=1) (3=4 (4=3 (5=2). End if. Exe.2017-5-23Fixed.
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2012-5-2Turkey: V64, V65, WRKTYPE, ISCO88Substantial error in Turkish variables on occupation2012-12-30Turkish variables on occupation updated.
2012-5-7Russia: V64, WRKTYPEV64 and WRKTYPE in Russian original dataset not identical as envisaged.2012-12-30Corrected.
2012-5-7USA: V44, TOPBOTReversed scale2012-12-30Corrected through the following syntax: do if v5=840. recode v44 TOPBOT (1=10) (2=9) (3=8) (4=7) (5=6) (6=5) (7=4) (8=3) (9=2) (10=1) (else=copy). end if. execute.
2012-12-30Bulgaria: ID numbersThe Bulgarian dataset contains multiple ID numbers. 2012-12-30Bulgarian dataset updated.

Further Remarks

NotesCanada: The dataset was not integrated into the international file. For detailed information see under the ZA-study-Nr. 5389.
Number of Units: 56021
Number of Variables: 357
Analysis System(s): SPSS, Stata

Publications

Relevant full texts
from SSOAR (automatically assigned)

Groups

Research Data Centre
Groups
  •  International Social Survey Programme (ISSP)
    The International Social Survey Programme (ISSP) is a continuing annual program of cross-national survey collaboration, covering a wide range of topics important for social science research. Since 1985 the ISSP provides international data sets, enabling cross-cultural and cross-temporal research.
  • ISSP - Module Topic: Social Inequality
    ‘Social Inequality’ is one of the eleven ISSP topic modules. Central themes are issues, such as attitudes towards income inequality, views on earnings and incomes, legitimation of inequality, career advancement by means of family background and networks, social cleavages and conflict among groups, and the current and past social position.