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GESIS Data Catalogue - Study ZA5400
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ZA5400: International Social Survey Programme: Social Inequality IV - ISSP 2009
Bibliographic 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,
doi:10.4232/1.12777
Study No.
ZA5400
Title
International Social Survey Programme: Social Inequality IV - ISSP 2009
Current Version
4.0.0, 2017-5-23, doi:10.4232/1.12777
Date of Collection
08.02.2008 - 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
Bernburg, Jón Gunnar - University of Iceland, Reykjavík, Iceland
Ólafsdóttir, Sigrún - Boston University, Boston, USA
Robert, Peter - TÁRKI Social Research Institute, Budapest, Hungary
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
Koroleva, Ilze - Institute of Philosophy and Sociology, University of Latvia, Latvia
Tabuns, Aivars - 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
Makejev, S. - Department of Social Structures, Institute of Sociology, National Academy of Sciences of Ukraine (NASU), Kiev, Ukraine
Paniotto, Volodimir - Kiev International Institute of Sociology (KIIS), 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
Categories
Social Policy
Topics
13.5 Equality and inequality
Study No.
5400
Title
International Social Survey Programme: Social Inequality IV - ISSP 2009
Other Titles
Current Version
4.0.0, 23.05.2017,
10.4232/1.12777
Date of Collection
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
Bernburg, Jón Gunnar - University of Iceland, Reykjavík, Iceland
Ólafsdóttir, Sigrún - Boston University, Boston, USA
Robert, Peter - TÁRKI Social Research Institute, Budapest, Hungary
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
Koroleva, Ilze - Institute of Philosophy and Sociology, University of Latvia, Latvia
Tabuns, Aivars - 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
Makejev, S. - Department of Social Structures, Institute of Sociology, National Academy of Sciences of Ukraine (NASU), Kiev, Ukraine
Paniotto, Volodimir - Kiev International Institute of Sociology (KIIS), 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
Abstract
Categories
Social Policy
Topics
13.5 Equality and inequality
Content
Abstract
Social 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.
Abstract
Social 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.
Methodology
Geographic Coverage
Universe
Persons aged 18 and older (Finland: 15-74, Italy, Japan: 16 and older, Norway: 19-80, Sweden: 17-79)
Selection Method
Sampling procedures differ for the individual countries: partly simple, partly multi-stage stratified random samples
Mode of Data Collection
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
Data Collector
Argentina: 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
08.02.2008 - 16.01.2012
Geographic Coverage
Argentina (AR); Austria (AT); Australia (AU); Belgium (BE), Flanders; Bulgaria (BG); Switzerland (CH); Chile (CL); China (CN); Cyprus (CY); Czech Republic (CZ); Germany (DE); Denmark (DK); Estonia (EE); Spain (ES); Finland (FI); France (FR); Great Britain (GB-GBN); Croatia (HR); Hungary (HU); Israel (IL); Iceland (IS); Italy (IT); Japan (JP); Korea, Republic of (KR); Lithuania (LT); Latvia (LV); Norway (NO); New Zealand (NZ); Philippines (PH); Poland (PL); Portugal (PT); Russian Federation (RU); Sweden (SE); Slovenia (SI); Slovakia (SK); Turkey (TR); Taiwan (TW); Ukraine (UA); United States (US); Venezuela, Bolivarian Republic of (VE); South Africa (ZA)
Universe
Persons aged 18 and older (Finland: 15-74, Italy, Japan: 16 and older, Norway: 19-80, Sweden: 17-79)
Selection Method
Sampling procedures differ for the individual countries: partly simple, partly multi-stage stratified random samples
Mode of Data Collection
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
Data Collector
Argentina: 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)
Dataset
Number of Units: 56021
Number of Variables: 357
Analysis System(s): SPSS, Stata
Availability
A - Data and documents are released for academic research and teaching.
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. Charges apply! Please respect our
Terms of use
.
ZA5400_v4-0-0.dta.zip
Stata
(Dataset)
5 MBytes
ZA5400_v4-0-0.sav.zip
SPSS
(Dataset)
7 MBytes
ZA5400_v4-0-0_Patch_V67-V68.sps
(Dataset)
74 KBytes
ZA5400_bq.pdf
Basic (source) Questionnaire
(Questionnaire)
432 KBytes
ZA5400_q_all.zip
All countries
(Questionnaire)
31 MBytes
ZA5400_q_ar.pdf
Argentina
(Questionnaire)
776 KBytes
ZA5400_q_at.pdf
Austria
(Questionnaire)
122 KBytes
ZA5400_q_au.pdf
Australia
(Questionnaire)
319 KBytes
ZA5400_q_be-nl.pdf
Flanders (Belgium)
(Questionnaire)
399 KBytes
ZA5400_q_bg.pdf
Bulgaria
(Questionnaire)
785 KBytes
ZA5400_q_ca-en.pdf
Canada (English)
(Questionnaire)
1 MByte
ZA5400_q_ca-fr.pdf
Canada (French)
(Questionnaire)
741 KBytes
ZA5400_q_ch.pdf
Switzerland
(Questionnaire)
1 MByte
ZA5400_q_cl.pdf
Chile
(Questionnaire)
508 KBytes
ZA5400_q_cn.pdf
China
(Questionnaire)
629 KBytes
ZA5400_q_cy.pdf
Cyprus
(Questionnaire)
561 KBytes
ZA5400_q_cz.pdf
Czech Republic
(Questionnaire)
328 KBytes
ZA5400_q_de.pdf
Germany
(Questionnaire)
119 KBytes
ZA5400_q_dk.pdf
Denmark
(Questionnaire)
505 KBytes
ZA5400_q_ee-ee.pdf
Estonia (Estonian)
(Questionnaire)
118 KBytes
ZA5400_q_ee-ru.pdf
Estonia (Russian)
(Questionnaire)
237 KBytes
ZA5400_q_es.pdf
Spain
(Questionnaire)
414 KBytes
ZA5400_q_fi-fi.pdf
Finland (Finnish)
(Questionnaire)
597 KBytes
ZA5400_q_fi-se.pdf
Finland (Swedish)
(Questionnaire)
590 KBytes
ZA5400_q_fr.pdf
France
(Questionnaire)
147 KBytes
ZA5400_q_gb.pdf
Great Britain
(Questionnaire)
199 KBytes
ZA5400_q_hr.pdf
Croatia
(Questionnaire)
297 KBytes
ZA5400_q_hu.pdf
Hungary
(Questionnaire)
162 KBytes
ZA5400_q_il-ar.pdf
Israel (Arabic)
(Questionnaire)
1 MByte
ZA5400_q_il-he.pdf
Israel (Hebrew)
(Questionnaire)
348 KBytes
ZA5400_q_il-ru.pdf
Israel (Russian)
(Questionnaire)
496 KBytes
ZA5400_q_is.pdf
Iceland
(Questionnaire)
426 KBytes
ZA5400_q_it.pdf
Italy
(Questionnaire)
560 KBytes
ZA5400_q_jp.pdf
Japan
(Questionnaire)
111 KBytes
ZA5400_q_kr.pdf
Korea
(Questionnaire)
7 MBytes
ZA5400_q_lt.pdf
Lithuania
(Questionnaire)
723 KBytes
ZA5400_q_lv-lv.pdf
Latvia (Latvian)
(Questionnaire)
475 KBytes
ZA5400_q_lv-ru.pdf
Latvia (Russian)
(Questionnaire)
515 KBytes
ZA5400_q_no.pdf
Norway
(Questionnaire)
309 KBytes
ZA5400_q_nz.pdf
New Zealand
(Questionnaire)
193 KBytes
ZA5400_q_ph-bik.pdf
Philippines (Bicolano)
(Questionnaire)
444 KBytes
ZA5400_q_ph-ceb.pdf
Philippinen (Cebuano)
(Questionnaire)
534 KBytes
ZA5400_q_ph-fil.pdf
Philippines (Filipino)
(Questionnaire)
566 KBytes
ZA5400_q_ph-hil.pdf
Philippines (Hiligaynon)
(Questionnaire)
536 KBytes
ZA5400_q_ph-ilo.pdf
Philippines (Iluko)
(Questionnaire)
532 KBytes
ZA5400_q_ph-war.pdf
Philippines (Waray)
(Questionnaire)
470 KBytes
ZA5400_q_pl.pdf
Poland
(Questionnaire)
649 KBytes
ZA5400_q_pt.pdf
Portugal
(Questionnaire)
282 KBytes
ZA5400_q_ru.pdf
Russia
(Questionnaire)
442 KBytes
ZA5400_q_se.pdf
Sweden
(Questionnaire)
417 KBytes
ZA5400_q_si.pdf
Slovenia
(Questionnaire)
425 KBytes
ZA5400_q_sk-hu.pdf
Slovakian Republic (Hungarian)
(Questionnaire)
329 KBytes
ZA5400_q_sk-sk.pdf
Slovakian Republic (Slovakian)
(Questionnaire)
961 KBytes
ZA5400_q_tr.pdf
Turkey
(Questionnaire)
777 KBytes
ZA5400_q_tw.pdf
Taiwan
(Questionnaire)
482 KBytes
ZA5400_q_ua-ru.pdf
Ukraine (Russian)
(Questionnaire)
2 MBytes
ZA5400_q_ua-ua.pdf
Ukraine (Ukrainian)
(Questionnaire)
2 MBytes
ZA5400_q_us.pdf
United States of America / USA
(Questionnaire)
689 KBytes
ZA5400_q_ve.pdf
Venezuela
(Questionnaire)
101 KBytes
ZA5400_q_za-tn.pdf
South Africa (Tswana)
(Questionnaire)
1 MByte
ZA5400_q_za-ts.pdf
South Africa (XiTsonga)
(Questionnaire)
1 MByte
ZA5400_q_za-xh.pdf
South Africa (IsiXhosa)
(Questionnaire)
1 MByte
ZA5400_q_za-zu.pdf
South Africa (Zulu)
(Questionnaire)
1 MByte
ZA5400_cdb.pdf
(Codebook)
8 MBytes
ZA1490_all_Overview_Duplicated_Records.xlsx
(Table)
203 KBytes
ZA5400_backgroundvar_all.zip
All countries - Question texts and coding of background variables
(Other Document)
13 MBytes
ZA5400_backgroundvar_ar.pdf
Argentina - Question texts and coding of background variables
(Other Document)
291 KBytes
ZA5400_backgroundvar_at.pdf
Austria - Question texts and coding of background variables
(Other Document)
284 KBytes
ZA5400_backgroundvar_au.pdf
Australia - Question texts and coding of background variables
(Other Document)
436 KBytes
ZA5400_backgroundvar_be-fla.pdf
Flanders (Belgium) - Question texts and coding of background variables
(Other Document)
458 KBytes
ZA5400_backgroundvar_bg.pdf
Bulgaria - Question texts and coding of background variables
(Other Document)
822 KBytes
ZA5400_backgroundvar_ca.pdf
Canada - Question texts and coding of background variables
(Other Document)
273 KBytes
ZA5400_backgroundvar_ch.pdf
Switzerland - Question texts and coding of background variables
(Other Document)
668 KBytes
ZA5400_backgroundvar_cl.pdf
Chile - Question texts and coding of background variables
(Other Document)
287 KBytes
ZA5400_backgroundvar_cn.pdf
China - Question texts and coding of background variables
(Other Document)
350 KBytes
ZA5400_backgroundvar_cy.pdf
Cyprus - Question texts and coding of background variables
(Other Document)
308 KBytes
ZA5400_backgroundvar_cz.pdf
Czech Republic - Question texts and coding of background variables
(Other Document)
308 KBytes
ZA5400_backgroundvar_de.pdf
Germany - Question texts and coding of background variables
(Other Document)
613 KBytes
ZA5400_backgroundvar_dk.pdf
Denmark - Question texts and coding of background variables
(Other Document)
336 KBytes
ZA5400_backgroundvar_ee.pdf
Estonia - Question texts and coding of background variables
(Other Document)
503 KBytes
ZA5400_backgroundvar_fi.pdf
Finland - Question texts and coding of background variables
(Other Document)
365 KBytes
ZA5400_backgroundvar_fr.pdf
France - Question texts and coding of background variables
(Other Document)
350 KBytes
ZA5400_backgroundvar_gb.pdf
Great Britain - Question texts and coding of background variables
(Other Document)
340 KBytes
ZA5400_backgroundvar_hr.pdf
Croatia - Question texts and coding of background variables
(Other Document)
308 KBytes
ZA5400_backgroundvar_il.pdf
Israel - Question texts and coding of background variables
(Other Document)
391 KBytes
ZA5400_backgroundvar_is.pdf
Iceland - Question texts and coding of background variables
(Other Document)
305 KBytes
ZA5400_backgroundvar_it.pdf
Italy - Question texts and coding of background variables
(Other Document)
239 KBytes
ZA5400_backgroundvar_jp.pdf
Japan - Question texts and coding of background variables
(Other Document)
380 KBytes
ZA5400_backgroundvar_kr.pdf
Korea - Question texts and coding of background variables
(Other Document)
636 KBytes
ZA5400_backgroundvar_lt.pdf
Lithuania - Question texts and coding of background variables
(Other Document)
388 KBytes
ZA5400_backgroundvar_lv.pdf
Latvia - Question texts and coding of background variables
(Other Document)
318 KBytes
ZA5400_backgroundvar_no.pdf
Norway - Question texts and coding of background variables
(Other Document)
334 KBytes
ZA5400_backgroundvar_nz.pdf
New Zealand - Question texts and coding of background variables
(Other Document)
293 KBytes
ZA5400_backgroundvar_ph.pdf
Philippines - Question texts and coding of background variables
(Other Document)
325 KBytes
ZA5400_backgroundvar_pl.pdf
Poland - Question texts and coding of background variables
(Other Document)
351 KBytes
ZA5400_backgroundvar_pt.pdf
Portugal - Question texts and coding of background variables
(Other Document)
279 KBytes
ZA5400_backgroundvar_ru.pdf
Russia - Question texts and coding of background variables
(Other Document)
481 KBytes
ZA5400_backgroundvar_se.pdf
Sweden - Question texts and coding of background variables
(Other Document)
276 KBytes
ZA5400_backgroundvar_si.pdf
Slovenia - Question texts and coding of background variables
(Other Document)
314 KBytes
ZA5400_backgroundvar_sk.pdf
Slovakian Republic - Question texts and coding of background variables
(Other Document)
345 KBytes
ZA5400_backgroundvar_tr.pdf
Turkey - Question texts and coding of background variables
(Other Document)
417 KBytes
ZA5400_backgroundvar_tw.pdf
Taiwan - Question texts and coding of background variables
(Other Document)
548 KBytes
ZA5400_backgroundvar_ua.pdf
Ukraine - Question texts and coding of background variables
(Other Document)
563 KBytes
ZA5400_backgroundvar_us.pdf
United States of America / USA - Question texts and coding of background variables
(Other Document)
377 KBytes
ZA5400_backgroundvar_ve.pdf
Venezuela - Question texts and coding of background variables
(Other Document)
114 KBytes
ZA5400_backgroundvar_za.pdf
South Africa - Question texts and coding of background variables
(Other Document)
365 KBytes
ZA5400_mr.pdf
(Method Report)
235 KBytes
ZA5400_topics.pdf
(Other Document)
73 KBytes
Study Description in DDI format DDI-Codebook (2.5)
Study Description in DDI format DDI-Lifecycle (3.1)
Study Description in DDI format DDI-Lifecycle (3.2)
ZACAT online analysis and search in variable level documentation:
International Social Survey Programme: Social Inequality IV - ISSP 2009
You can order this study via shopping cart
add to shopping cart
General access to
studies and data sets at the GESIS Data Archive for the Social Sciences
Errata in current version
2018-2-1
Information 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.
2018-12-14
Patch 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?´ available
There 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 4.0.0
(current version)
2017-5-23 Lithuania added and errata corrected
doi:10.4232/1.12777
Changes in this version
2017-5-23
Duplicate records: Norway
For Norway, 210 duplicate records have been detected.
2017-5-23
All 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).
2017-5-23
Duplicate records: Venezuela
For Venezuela, 30 duplicate records have been detected.
2017-5-23
All 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).
2013-8-16
V57 (ILO/ISCO father) and V60 (ILO/ISCO mother) - Philippines: Data error
Substantial data error in variables V57 and V60 of the Philippines. Corrected version available on request (e-mail: isspservice@gesis.org).
2017-5-23
Fixed.
2014-6-5
ETHNIC (Family origin, ethnic group, identity) - Sweden: Data error
The 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.
2017-5-23
Fixed.
2014-6-3
V45 Q10b Where did the family that you grew up in, fit in then? - United States: Data error
In 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.
2017-5-23
Fixed.
2014-8-13
V66 Q20 Which social class would you say you belong to? - South Africa: Data error
In 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).
2017-5-23
Fixed.
2014-8-13
V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Switzerland: Labelling error
There 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.
2017-5-23
Fixed.
2016-2-26
V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Croatia: Misleading categorization
The 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.
2017-5-23
Fixed. 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.
2016-2-26
V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Croatia: Misleading categorization
The 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.
2017-5-23
Fixed. Croatia´s prinical investigator checked all original cases again but, in fact, none of the respondents selected one of the catogories 19101 to 19107.
2016-9-16
V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Germany: Wrong value labels
The 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 more
2017-5-23
Fixed.
2016-9-16
V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Germany: Wrong value labels
The 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 more
2017-5-23
Fixed.
2016-9-27
V67+V68/ Q21a+Q21b - Taiwan: Error in value labels of category 15809
The value labels of category 15809 should read ´TW: TWD 20.000.000 - TWD 29.999.999´.
2017-5-23
Fixed.
2016-9-27
V67 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 + 20809
The 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´.
2017-5-23
Fixed.
2016-9-28
V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Japan: Wrong value labels
The 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´.
2017-5-23
Fixed.
2016-9-28
V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Japan: Wrong value labels
The 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´.
2017-5-23
Fixed.
2016-9-28
V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Norway: Wrong value labels
The 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´.
2017-5-23
Fixed.
2016-10-4
V67 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 labels
The 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.
2017-5-23
Fixed.
2016-10-4
V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Belgium (Flanders): Wrong value labels
The 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.
2017-5-23
Fixed.
2016-10-4
V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Slovenia: Wrong value labels
The 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.
2017-5-23
Fixed.
2016-10-4
V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Slovenia: Wrong value labels
The 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.
2017-5-23
Fixed.
2016-10-5
V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Slovakia: Wrong value labels
The 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).
2017-5-23
Fixed.
2016-10-5
V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - Slovakia: Wrong value labels
The 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).
2017-5-23
Fixed.
2016-10-6
V67 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 labels
The 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.
2017-5-23
Fixed.
2016-10-6
V68 Q21b About how much money would be left if you and/or your immediate family converted to cash all savings? - South Korea: Wrong value labels
The 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.
2017-5-23
Fixed.
2016-11-24
V67 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 standard
The 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.
2017-5-23
Fixed.
2016-10-11
V67 Q21a How much money would be left if the home you and your family live in was sold without any debts? - Venezuela: Incomplete value labels
The 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.
2017-5-23
Fixed.
2017-5-23
V68 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.
2017-5-23
Fixed.
2016-11-7
V68 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 standard
Please 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.
2017-5-23
Fixed by putting all Turkish cases to category 0 ´Not available´.
2017-4-20
MARITAL (R: Marital status) - Russia: Categories not recoded into harmonized ISSP standard
For 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.
2017-5-23
Fixed.
Version 3.0.0
2012-12-31 Third Release (40 countries)
doi:10.4232/1.11506
Changes in this version
2012-5-2
Turkey: V64, V65, WRKTYPE, ISCO88
Substantial error in Turkish variables on occupation
2012-12-30
Turkish variables on occupation updated.
2012-5-7
Russia: V64, WRKTYPE
V64 and WRKTYPE in Russian original dataset not identical as envisaged.
2012-12-30
Corrected.
2012-5-7
USA: V44, TOPBOT
Reversed scale
2012-12-30
Corrected 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.
2012-12-30
Bulgaria: ID numbers
The Bulgarian dataset contains multiple ID numbers.
2012-12-30
Bulgarian dataset updated.
Version 2.0.0
2012-1-16 Full Release (covers 38 countries)
doi:10.4232/1.11090
Version 1.0.0
2011-7-5 first archive edition
doi:10.4232/1.10736
Notes
Canada: The dataset was not integrated into the international file. For detailed information see under the ZA-study-Nr. 5389.
Relevant full texts
from
SSOAR
(automatically assigned)
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.
show group
ZA1303
International Social Survey Programme 1986 (Ireland)
ZA1306
International Social Survey Programme 1987 (Ireland)
ZA1490
International Social Survey Programme: Role of Government I - ISSP 1985
ZA1620
International Social Survey Programme: Social Networks and Support Systems - ISSP 1986
ZA1680
International Social Survey Programme: Social Inequality I - ISSP 1987
ZA1700
International Social Survey Programme: Family and Changing Gender Roles I - ISSP 1988
ZA1784
International Social Survey Programme 1986 (Slovenia)
ZA1840
International Social Survey Programme: Work Orientations I - ISSP 1989
ZA1950
International Social Survey Programme: Role of Government II - ISSP 1990
ZA1977
International Social Survey Programme 1988 (Australia)
ZA2150
International Social Survey Programme: Religion I - ISSP 1991
ZA2240
International Social Survey Programme: Role of Government I/II - ISSP 1985 - 1990
ZA2310
International Social Survey Programme: Social Inequality II - ISSP 1992
ZA2450
International Social Survey Programme: Environment I - ISSP 1993
ZA2496
International Social Survey Programme 1992 (Spain)
ZA2620
International Social Survey Programme: Family and Changing Gender Roles II - ISSP 1994
ZA2793
International Social Survey Programme 1993 (Austria)
ZA2880
International Social Survey Programme: National Identity I - ISSP 1995
ZA2900
International Social Survey Programme: Role of Government III - ISSP 1996
ZA3024
International Social Survey Programme 1993 (Switzerland)
ZA3090
International Social Survey Programme: Work Orientations II - ISSP 1997
ZA3190
International Social Survey Programme: Religion II - ISSP 1998
ZA3293
International Social Survey Programme 1999 (Netherlands)
ZA3297
International Social Survey Programme 1999 (Switzerland)
ZA3351
International Social Survey Programme 1997 (Austria)
ZA3375
International Social Survey Programme 2000 (Bangladesh)
ZA3430
International Social Survey Programme: Social Inequality III - ISSP 1999
ZA3440
International Social Survey Programme: Environment II - ISSP 2000
ZA3558
International Social Survey Programme 1999 (Brazil)
ZA3562
International Social Survey Programme 1999 (Denmark)
ZA3612
International Social Survey Programme 1997 (Ireland)
ZA3613
International Social Survey Programme 1999 (Ireland)
ZA3680
International Social Survey Programme: Social Relations and Support Systems - ISSP 2001
ZA3880
International Social Survey Programme: Family and Changing Gender Roles III - ISSP 2002
ZA3910
International Social Survey Programme: National Identity II - ISSP 2003
ZA3916
International Social Survey Programme 2001 (Netherlands)
ZA3950
International Social Survey Programme: Citizenship - ISSP 2004
ZA4350
International Social Survey Programme: Work Orientation III - ISSP 2005
ZA4656
International Social Survey Programme 2004 (Dominican Republic)
ZA4674
International Social Survey Programme 1998 (Brazil)
ZA4685
International Social Survey Programme 2006 (Argentina)
ZA4700
International Social Survey Programme: Role of Government IV - ISSP 2006
ZA4704
International Social Survey Programme 2006 (Northern Ireland)
ZA4710
International Social Survey Programme 2006 (Slovakia)
ZA4747
International Social Survey Programme: Role of Government I-IV - ISSP 1985-1990-1996-2006
ZA4748
International Social Survey Programme: Role of Government I-IV ADD ON - ISSP 1985-1990-1996-2006
ZA4831
International Social Survey Programme 2007 (Denmark)
ZA4850
International Social Survey Programme: Leisure Time and Sports - ISSP 2007
ZA4861
International Social Survey Programme 2007 (Netherlands)
ZA4950
International Social Survey Programme: Religion III - ISSP 2008
ZA4966
International Social Survey Programme 2008 (Canada)
ZA5070
International Social Survey Programme: Religion I-III - ISSP 1991-1998-2008
ZA5071
International Social Survey Programme: Religion I-III ADD ON - ISSP 1991-1998-2008
ZA5389
International Social Survey Programme 2009 (Canada)
ZA5400
International Social Survey Programme: Social Inequality IV - ISSP 2009
ZA5500
International Social Survey Programme: Environment III - ISSP 2010
ZA5517
International Social Survey Programme: National Identity III - ISSP 2013 (Netherlands)
ZA5518
International Social Survey Programme 2014: Citizenship II - ISSP 2014 (Estonia)
ZA5519
International Social Survey Programme 2014: Citizenship II - ISSP 2014 (New Zealand)
ZA5520
International Social Survey Programme 2015: Work Orientations IV - ISSP 2015 (Turkey)
ZA5618
International Social Survey Programme: Religion III - ISSP 2008 (Indonesia)
ZA5619
International Social Survey Programme: Religion III - ISSP 2008 (Kenya)
ZA5620
International Social Survey Programme: Religion III - ISSP 2008 (Sri Lanka)
ZA5621
International Social Survey Programme: Religion III - ISSP 2008 (Tanzania)
ZA5690
Religion Around the World Study of the 2008 International Social Survey Programme (ISSP)
ZA5800
International Social Survey Programme: Health and Health Care - ISSP 2011
ZA5890
International Social Survey Programme: Social Inequality I-IV - ISSP 1987-1992-1999-2009
ZA5891
International Social Survey Programme: Social Inequality I-IV ADD ON - ISSP 1987-1992-1999-2009
ZA5900
International Social Survey Programme: Family and Changing Gender Roles IV - ISSP 2012
ZA5950
International Social Survey Programme: National Identity III - ISSP 2013
ZA5995
International Social Survey Programme: Social Inequality IV - ISSP 2009 (Netherlands)
ZA6670
International Social Survey Programme: Citizenship II - ISSP 2014
ZA6770
International Social Survey Programme: Work Orientations IV - ISSP 2015
ZA6900
International Social Survey Programme: Role of Government V - ISSP 2016
ZA6980
International Social Survey Programme: Social Networks and Social Resources - ISSP 2017
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.
show group
ZA1306
International Social Survey Programme 1987 (Ireland)
ZA1680
International Social Survey Programme: Social Inequality I - ISSP 1987
ZA2310
International Social Survey Programme: Social Inequality II - ISSP 1992
ZA2496
International Social Survey Programme 1992 (Spain)
ZA3293
International Social Survey Programme 1999 (Netherlands)
ZA3297
International Social Survey Programme 1999 (Switzerland)
ZA3430
International Social Survey Programme: Social Inequality III - ISSP 1999
ZA3558
International Social Survey Programme 1999 (Brazil)
ZA3562
International Social Survey Programme 1999 (Denmark)
ZA3613
International Social Survey Programme 1999 (Ireland)
ZA5389
International Social Survey Programme 2009 (Canada)
ZA5400
International Social Survey Programme: Social Inequality IV - ISSP 2009
ZA5890
International Social Survey Programme: Social Inequality I-IV - ISSP 1987-1992-1999-2009
ZA5891
International Social Survey Programme: Social Inequality I-IV ADD ON - ISSP 1987-1992-1999-2009
ZA5995
International Social Survey Programme: Social Inequality IV - ISSP 2009 (Netherlands)