Document Description |
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Citation |
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Title: |
International Social Survey Programme 2007: Leisure Time and Sports (ISSP 2007)
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Software used in Production: |
Nesstar Publisher
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Study Description |
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Citation |
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Title: |
International Social Survey Programme 2007: Leisure Time and Sports (ISSP 2007)
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Identification Number: |
ZA4850
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Authoring Entity: |
Jorge Raúl Jorrat, Affiliation: Centro de Estudios de Opinión, Universidad de Buenos Aires, Argentina
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Max Haller, Franz Höllinger, Affiliation: Institut für Soziologie, Universität Graz, Austria
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Bruce Tranter, Affiliation: University of Tasmania, Tasmania, Australia
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Juliet Clark, Ken Reed, Affiliation: Deakin University, Deakin, Australia
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Timothy Phillips, Deborah Mitchell, Affiliation: Centre for Social Research, Research School of Social Sciences, Australian National University, Canberra, Australia
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Ann Carton, Affiliation: Vlaamse Overheid, Studiedienst van de Vlaamse Regering (Research Centre of the Flemish Government) (SVR), Belgium (Flanders)
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Lilia Dimova, Affiliation: Agency for Social Analyses (ASA), Sofia, Bulgaria
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Dinka Marinovic Jerolimov, Boris Jokic, Affiliation: Institute for Social Research, Zagreb, Croatia
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Carolina Segovia, Affiliation: Centro de Estudios Públicos (CEP), Santiago, Chile
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Bambos Papageorgiou, Affiliation: Center of Applied Research, Cyprus College, Cyprus
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Milan Tucek, Affiliation: Institute of Sociology, Academy of Sciences of the Czech Republic, Prague, Czech Republic
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Carlos Dore, Affiliation: Fundación Global Democracia y Desarrollo (FUNGLODE), Santo Domingo, Dominican Republic
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Harri Melin, Affiliation: University of Turku, Turku, Finland
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Raimo Blom, Affiliation: Finnish Social Science Data Archive, University of Tampere, Finland
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Yannick Lemel, Michel Forsé, Affiliation: FRANCE-ISSP (Centre de Recherche en Economie et Statistique, Laboratoire de Sociologie Quantitative), Malakoff, France
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Peter Mohler, Affiliation: GESIS, Germany
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Alison Park, Affiliation: National Centre for Social Research (NatCen), London, Great Britain
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Peter Robert, Affiliation: TÁRKI Social Research Institute, Budapest, Hungary
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Máire Nic Ghiolla Phádraig, Affiliation: Social Science Research Centre, University College Dublin, Ireland
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Noah Lewin-Epstein, Affiliation: B.I. and Lucille Cohen Institute for Public Opinion Research, Tel Aviv University, Tel Aviv, Israel
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Hiroshi Aramaki, Miwako Hara, Kumiko Nishi, Affiliation: NHK, Broadcasting Culture Research Institute, Public Opinion Research Division, Tokyo, Japan
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Aivars Tabuns, Ilze Koroleva, Affiliation: Institute of Philosophy and Sociology University of Latvia, Riga, Latvia
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César Augusto Morones, Yasodhara Silva, Jorge Alberto Godinez, Felipe de Jesús Palacios, Affiliation: Instituto de Mercadotecnia y Opinión (IMO), Mexiko
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Philip Gendall, Affiliation: Department of Marketing, Massey University, Palmerston North, New Zealand
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Knut Kalgraff Skjåk, Affiliation: Norwegian Social Science Data Services, Bergen, Norway
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Håkon Leiulfsrud, Affiliation: Department of Sociology and Political Science, Norwegian University of Science and Technology
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Nils Asle Bergsgard, Affiliation: International Research Institute of Stavanger, Stavanger, Norway
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Bogdan Cichomski, Affiliation: Institute for Social Studies (ISS), University of Warsaw, Warsaw, Poland
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Linda Luz Guerrero, Mahar Mangahas, Gerardo Sanoval, Affiliation: Social Weather Stations, Quezon City, Philippines
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Ludmilla Khakhulina, Affiliation: Levada Center, Moscow, Russia
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Magdalena Piscová, Affiliation: Institute for Sociology of Slovak Academy of Sciences, Bratislava, Slovakia
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Niko Toš, Affiliation: Public Opinion and Mass Communications Research Centre, Faculty for Social Sciences University of Ljubljana, Ljubljana, Slovenia
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Jare Struwig, Benjamin Roberts, Affiliation: Human Science Research Council (HSRC), Pretoria, South Africa
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Sang-Wook Kim, Affiliation: Survey Research Center, Sungkyunkwan University, Seoul, Korea
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Jonas Edlund, Stefan Svallfors, Affiliation: Dept. of Sociology, Umea University, Umea, Sweden
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Dominique Joye, Nicole Schoebi, Affiliation: SIDOS (Swiss Information and Data Archive for the Social Sciences), Neuchâtel, Switzerland
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Ly-yun Chang, Affiliation: Institute of Sociology & Center for Survey Research, Academia Sinica, Nankang, Taipei, Taiwan
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Giorgina Piani, Máximo Rossi, Zuleika Ferre, Affiliation: Department of Economics, Faculty of Social Sciences, University of Uruguay, Montevideo, Uruguay
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Juan Jose Goyeneche, Guillermo Zoppolo, Affiliation: Institute of Statistics, Faculty of Economics and Administration, University of Uruguay, Montevideo, Uruguay
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James A. Davis, Tom W. Smith, Peter V. Marsden, Affiliation: National Opinion Research Center (NORC), Chicago, USA
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Producer: |
GESIS - Leibniz Institute for the Social Sciences, http://www.gesis.org/
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Date of Production: |
2009-10-29
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Software used in Production: |
Nesstar Publisher
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Distributor: |
GESIS - Leibniz Institute for the Social Sciences
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Version: |
Version 2.0.0 (2009-10-29)
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Version Responsibility: |
GESIS - Leibniz Institute for the Social Sciences
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Study Scope |
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Topic Classification: |
Society, Culture
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Abstract: | Leisure time: activities and satisfaction. The meaning of time and leisure, and its relation to work and other spheres of life. Sport/game activities and subjective functions of sport and games. Sociological aspects of sports. Social and political participation. Social determinants and consequences of leisure.
Themes: Frequency of leisure activities in respondent`s free time; main purpose of free time activities; enjoyment from reading books, getting together with friends, taking part in physical activities, and watching TV or DVDs; motivation for leisure time activities: establishing useful contacts, relaxing, and developing skills in free time; frequency of feeling bored, feeling rushed, and thinking about work during free time; preference for sharing time with other people or being alone; wishes for: more time in a paid job, more time doing household work, more time with family, and more time in leisure activities; number of nights the respondent stayed away from home for holiday or social visits; days of leave from work; most frequent exercises or physical activity; preferred type of games rather than sports; most important reasons for taking part in sports or games: physical or mental health, meeting other people, competing against others or physical attractiveness; most frequently watched sport on TV; feeling of national pride when respondent`s country does well at international sports or games competition; attitudes towards sport (scale); social and political participation; trust in people; interest in politics; reasons for staying away from doing free time activities: lack of facilities nearby, lack of money and time, personal health or responsibility to take care of someone; perception of happiness; estimation of personal health.
Optional items (not stated in all countries): The day before questioning was a working-day or a holiday; time of getting up and going to sleep on the day before; height and weight of respondent; wishes to gain or to lose weight; conception of an ideal shape of a man and a women on the bases of presented pictures.
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.
Additionally coded: administrative mode of data-collection; weighting factor; case substitution.
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Universe: |
Research area: Argentina, Australia, Austria, Belgium (Flanders), Bulgaria, Chile, Croatia, Cyprus, Czech Republic, Dominican Republic, Finland, France, Germany, Great Britain, Hungary, Ireland, Israel, Japan, Latvia, Mexico, New Zealand, Norway, Philippines, Poland, Russia, Slovakia, Slovenia, South Africa, South Korea, Sweden, Switzerland, Taiwan, United States, Uruguay
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Methodology and Processing |
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Time Method: | 01. October 2006 to 26. January 2009
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Data Collector: |
Centro de Estudios de Opinión Pública, Universidad de Buenos Aires, Argentina; Deakin Computer Assisted Research Facility, Australia; IFES-Institut Wien, Austria; Significant GfK, Heverlee, Belgien; ProField Data Partners, Bulgaria; ICCOM, Santiago, Chile; Institute for Social Research Zagreb, Croatia; Center of Applied Research, Cyprus College, Cyprus; GfK, Prague, Czech Republic; Asisa Research Group (ARG), Dominikanische Republik; Statistics Finland, Helsinki, Finland; FRANCE-ISSP Association Laboratoire de Sociologie Quantitative, Malakoff, France; TNS Infratest Sozialforschung, München, Deutschland; National Centre for Social Research (NatCen), London, Great Britain; TÁRKI Social Research Institute, Budapest, Hungary; Amárach Field Research, Dublin, Ireland; B.I. and Lucille Cohen Institute for Public Opinion Research, Israel; Central Research Services, Tokyo, Japan; Institute of Philosophy and Sociology, University of Latvia, Riga, Latvia; Instituto de Mercadotecnia y Opinión (IMO), Mexico Massey University, Department of Marketing, New Zealand; TNS Gallup, Oslo, Norway; Social Weather Stations, Quezon City, Philippines; Public Opinion Research Center (CBOS), Poland; Levada-Center, Moscow, Russia; FOCUS, Bratislava, Slovakia; Public Opinion and Mass Communication Research Centre, Ljubljana, Slovenia, Human Sciences Research Council (HSRC), South-Africa; Survey Research Center, Sungkyunkwan University, Seoul, South-Korea SIFO Research & Consulting, Stockholm, Sweden; MIS Trend, Institut pour l'étude des marchés et les sondages d'opinion, Lausanne, Switzerland; Center of Survey Research, Academia Sinica, Taiwan; Department of Economics - Faculty of Social Sciences, University of Uruguay, Montevideo, Uruguay National Opinion Research Center (NORC), Chicago, USA
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Sampling Procedure: | Sampling procedures differ for the individual countries: Partly simple, partly multi-stage stratified random sample of respondents 18 years old and older, exclusion: Finland (15), South Africa (16), Japan (16) and Russia (16)
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Mode of Data Collection: |
Face-to-face interview, mail survey, self-completion questionnaire
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Sources Statement |
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Data Access |
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Availability Status: |
A
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Access Authority: | |
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|---|
Title: |
Question texts and coding of background variables
|
|
Citation |
|---|
Title: |
All Countries (zip) (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14890 |
|
Citation |
|---|
Title: |
Argentina (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15598 |
|
Citation |
|---|
Title: |
Australia (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14891 |
|
Citation |
|---|
Title: |
Austria (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15599 |
|
Citation |
|---|
Title: |
Bulgaria (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15840 |
|
Citation |
|---|
Title: |
Chile (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14893 |
|
Citation |
|---|
Title: |
Croatia (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14899 |
|
Citation |
|---|
Title: |
Cyprus (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15600 |
|
Citation |
|---|
Title: |
Czech Republic (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14894 |
|
Citation |
|---|
Title: |
Denmark (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15602 |
|
Citation |
|---|
Title: |
Dominican Republic (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14895 |
|
Citation |
|---|
Title: |
Finland (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14896 |
|
Citation |
|---|
Title: |
Flanders (Belgium) (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14897 |
|
Citation |
|---|
Title: |
France (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14898 |
|
Citation |
|---|
Title: |
Germany (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15601 |
|
Citation |
|---|
Title: |
Great Britain (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15603 |
|
Citation |
|---|
Title: |
Ireland (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15604 |
|
Citation |
|---|
Title: |
Israel (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14900 |
|
Citation |
|---|
Title: |
Japan (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14901 |
|
Citation |
|---|
Title: |
Korea (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14902 |
|
Citation |
|---|
Title: |
Latvia (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14903 |
|
Citation |
|---|
Title: |
Mexico (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14904 |
|
Citation |
|---|
Title: |
New Zealand (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14906 |
|
Citation |
|---|
Title: |
Norway (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14905 |
|
Citation |
|---|
Title: |
Philippines (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14907 |
|
Citation |
|---|
Title: |
Poland (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14908 |
|
Citation |
|---|
Title: |
Slovakian Republic (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15605 |
|
Citation |
|---|
Title: |
Slovenia (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14910 |
|
Citation |
|---|
Title: |
South Africa (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14913 |
|
Citation |
|---|
Title: |
Sweden (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14909 |
|
Citation |
|---|
Title: |
Switzerland (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14892 |
|
Citation |
|---|
Title: |
Taiwan (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14911 |
|
Citation |
|---|
Title: |
Uruguay (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=14912 |
|
Citation |
|---|
Title: |
USA (Question texts and coding of background variables)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15606 |
|
Citation |
|---|
Title: |
Characteristics of National Population
|
|
Citation |
|---|
Title: |
All countries (zip) (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15620 |
|
Citation |
|---|
Title: |
Argentina (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15621 |
|
Citation |
|---|
Title: |
Australia (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15623 |
|
Citation |
|---|
Title: |
Austria (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15622 |
|
Citation |
|---|
Title: |
Bulgaria (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15624 |
|
Citation |
|---|
Title: |
Chile (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15626 |
|
Citation |
|---|
Title: |
Croatia (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15635 |
|
Citation |
|---|
Title: |
Cyprus (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15627 |
|
Citation |
|---|
Title: |
Czech Republic (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15628 |
|
Citation |
|---|
Title: |
Denmark (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15630 |
|
Citation |
|---|
Title: |
Finland (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15631 |
|
Citation |
|---|
Title: |
Flanders (Belgium) (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15632 |
|
Citation |
|---|
Title: |
France (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15633 |
|
Citation |
|---|
Title: |
Germany (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15629 |
|
Citation |
|---|
Title: |
Great Britain (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15634 |
|
Citation |
|---|
Title: |
Hungary (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15636 |
|
Citation |
|---|
Title: |
Ireland (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15637 |
|
Citation |
|---|
Title: |
Israel (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15638 |
|
Citation |
|---|
Title: |
Japan (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15639 |
|
Citation |
|---|
Title: |
Korea (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15640 |
|
Citation |
|---|
Title: |
Latvia (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15641 |
|
Citation |
|---|
Title: |
Mexico (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15642 |
|
Citation |
|---|
Title: |
New Zealand (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15644 |
|
Citation |
|---|
Title: |
Norway (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15643 |
|
Citation |
|---|
Title: |
Philippines (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15645 |
|
Citation |
|---|
Title: |
Poland (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15646 |
|
Citation |
|---|
Title: |
Russia (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15647 |
|
Citation |
|---|
Title: |
Slovakian Republic (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15650 |
|
Citation |
|---|
Title: |
Slovenia (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15649 |
|
Citation |
|---|
Title: |
South Africa (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15654 |
|
Citation |
|---|
Title: |
Sweden (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15648 |
|
Citation |
|---|
Title: |
Switzerland (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15625 |
|
Citation |
|---|
Title: |
Taiwan (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15651 |
|
Citation |
|---|
Title: |
Uruguay (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15653 |
|
Citation |
|---|
Title: |
USA (Characteristics of National Population)
|
Holdings Information: | http://info1.gesis.org/dbksearch13/download.asp?id=15652 |
|
Related Studies |
|---|
|
Related Publications |
|---|
|
Other Reference Note(s) |
|---|
Citation |
|---|
Title: |
Further Remarks
|
-
|
File Description |
|---|
File
:
ZA4850_v2-0-0.NSDstat
|
|---|
| |
Variable Description |
|---|
Variable Groups |
|---|
| -
Archive and ID variables
-
Substantial variables
-
Ctry. specific: degree
-
Ctry. specific: rinc
-
Ctry. specific: inc
-
Ctry. specific: party
-
Ctry. specific: region
-
Ctry. specific: size
-
ISSP demographics
-
Protocol variables
-
Weight
|
Archive and ID variables
|
|---|
| Variables within
Archive and ID variables
- V1:
Study Number
- V2:
GESIS archive version
- V3:
Respondent ID Number
- V4:
Country/Sample (see V5 for codes for whole nation states)
- V5:
Country (see V4 for codes for the sample)
|
Substantial variables
|
|---|
| Variables within
Substantial variables
- V1:
Study Number
- V2:
GESIS archive version
- V3:
Respondent ID Number
- V4:
Country/Sample (see V5 for codes for whole nation states)
- V5:
Country (see V4 for codes for the sample)
- V6:
Q1a Frequency of activities in free time: Watch TV
- V7:
Q1b Frequency of free time activities: Go to movies
- V8:
Q1c Frequency of free time activities: Go out shopping
- V9:
Q1d Frequency of free time activities: Read books
- V10:
Q1e Frequency of free time activities: Attend cultural events
- V11:
Q1f Frequency of free time activities: Get together with relatives
- V12:
Q1g Frequency of free time activities: Get together with friends
- V13:
Q1h Frequency of free time activities: Play cards
- V14:
Q1i Frequency of free time activities: Listen to music
- V15:
Q1j Frequency of free time activities: Sports, Gym
- V16:
Q1k Frequency of free time activities: Attend sporting events
- V17:
Q1l Frequency of free time activities: Do handicrafts
- V18:
Q1m Frequency of free time activities: Spend time on the Internet
- V19:
Q2a Free time activities enable you to be yourself
- V20:
Q2b Free time activities strengthen your relationships
- V21:
Q3a Enjoyment from free time activities: Reading books
- V22:
Q3b Enjoyment from: Getting together with friends
- V23:
Q3c Enjoyment from: Taking part in physical activities
- V24:
Q3d Enjoyment from: Watching TV, videos
- V25:
Q4a How often in free time: Establish useful contacts
- V26:
Q4b How often in free time: Relax and recover
- V27:
Q4c How often in free time: Learn or develop skills
- V28:
Q5aa How often in free time: Feel bored
- V29:
Q5ab How often in free time: Feel rushed
- V30:
Q5ac How often in free time: Thinking about work
- V31:
Q5b Preference in free time: With other people or by oneself
- V32:
Q6a Change in spending time: Time in a paid job
- V33:
Q6b Change in spending time: Doing household work
- V34:
Q6c Change in spending time: Time with your family
- V35:
Q6d Change in spending time: Time in leisure activities
- V36:
Q7a How many nights away from home for holidays
- V37:
Q7b How many days of leave from work
- V38:
Q8a Most frequent sport or physical activity
- V39:
Q8b Type of games played most frequently
- V40:
Q9a Reasons for sport or games: Physical or mental health
- V41:
Q9b Reasons for sport or games: To meet other people
- V42:
Q9c Reasons for sport or games: To compete against others
- V43:
Q9d Reasons for sport or games: To look good
- V44:
Q10a Most frequent sport watched on TV
- V45:
Q10b Second most frequent sport watched on TV
- V46:
Q11 How proud about an international sport competition?
- V47:
Q12a Opinion: Sport develops children´s character
- V48:
Q12b Opinion: Too much sport on TV
- V49:
Q12c Opinion: Sport brings different groups together
- V50:
Q12d Opinion: International sport competitions create tension between countries
- V51:
Q12e Opinion: Government should spend more money on sports
- V52:
Q13a Participation: A sports association/group
- V53:
Q13b Participation: A cultural association/group
- V54:
Q13c Participation: A church or religious organisation
- V55:
Q13d Participation: A community-service or civic association/group
- V56:
Q13e Participation: A political party or organisation
- V57:
Q14a Trust in people or careful in dealing with people
- V58:
Q14b Personal interest in politics
- V59:
Q15a Obstacle: Lack of facilities nearby
- V60:
Q15b Obstacle: Lack of money
- V61:
Q15c Obstacle: Personal health, age or disability
- V62:
Q15d Obstacle: Taking care of someone
- V63:
Q15e Obstacle: Lack of time
- V64:
Q16 How happy or unhappy in general, these days
- V65:
Q17 Status of health in general
- V66:
Q18a Yesterday was: Working-day or holiday
- V67:
Q18b Time of getting up yesterday
- V68:
Q18c Time go to sleep yesterday
- V69:
Q19a Height of Respondent: cm
- V70:
Q19b Weight of Respondent: kg
- V71:
Q20 Would you like to gain or lose weight?
- V72:
Q21a Pictures of the ideal shape of a man
- V73:
Q21b Pictures of the ideal shape of a woman
|
Ctry. specific: degree
|
|---|
| Variables within
Ctry. specific: degree
- V1:
Study Number
- V8:
Q1c Frequency of free time activities: Go out shopping
- V9:
Q1d Frequency of free time activities: Read books
- V10:
Q1e Frequency of free time activities: Attend cultural events
- V11:
Q1f Frequency of free time activities: Get together with relatives
- AR_DEGR:
Country specific education: Argentina
- AT_DEGR:
Country specific education: Austria
- AU_DEGR:
Country specific education: Australia
- BG_DEGR:
Country specific education: Bulgaria
- CH_DEGR:
Country specific education: Switzerland
- CL_DEGR:
Country specific education: Chile
- CY_DEGR:
Country specific education: Cyprus
- CZ_DEGR:
Country specific education: Czech Republic
- DE_DEGR:
Country specific education: Germany
- DO_DEGR:
Country specific education: Dominican Republic
- FI_DEGR:
Country specific education: Finland
- FLA_DEGR:
Country specific education: Flanders
- FR_DEGR:
Country specific education: France
- GB_DEGR:
Country specific education: Britain
- HR_DEGR:
Country specific education: Croatia
- HU_DEGR:
Country specific education: Hungary
- IE_DEGR:
Country specific education: Ireland
- IL_DEGR:
Country specific education: Israel
- JP_DEGR:
Country specific education: Japan
- KR_DEGR:
Country specific education: South Korea
- LV_DEGR:
Country specific education: Latvia
- MX_DEGR:
Country specific education: Mexico
- NO_DEGR:
Country specific education: Norway
- NZ_DEGR:
Country specific education: New Zealand
- PH_DEGR:
Country specific education: Philippines
- PL_DEGR:
Country specific education: Poland
- RU_DEGR:
Country specific education: Russia
- SE_DEGR:
Country specific education: Sweden
- SI_DEGR:
Country specific education: Slovenia
- SK_DEGR:
Country specific education: Slovak Republic
- TW_DEGR:
Country specific education: Taiwan
- US_DEGR:
Country specific education: USA
- UY_DEGR:
Country specific education: Uruguay
- ZA_DEGR:
Country specific education: South Africa
|
Ctry. specific: rinc
|
|---|
| Variables within
Ctry. specific: rinc
- V1:
Study Number
- V12:
Q1g Frequency of free time activities: Get together with friends
- V13:
Q1h Frequency of free time activities: Play cards
- V14:
Q1i Frequency of free time activities: Listen to music
- V15:
Q1j Frequency of free time activities: Sports, Gym
- AR_RINC:
R: Earnings: Argentina
- AT_RINC:
R: Earnings: Austria
- AU_RINC:
R: Earnings: Australia
- BG_RINC:
R: Earnings: Bulgaria
- CH_RINC:
R: Earnings: Switzerland
- CL_RINC:
R: Earnings: Chile
- CY_RINC:
R: Earnings: Cyprus
- CZ_RINC:
R: Earnings: Czech Republic
- DE_RINC:
R: Earnings: Germany
- DO_RINC:
R: Earnings: Dominican Republic
- FI_RINC:
R: Earnings: Finland
- FLA_RINC:
R: Earnings: Flanders
- FR_RINC:
R: Earnings: France
- GB_RINC:
R: Earnings: Great Britain
- HR_RINC:
R: Earnings: Croatia
- HU_RINC:
R: Earnings: Hungary
- IE_RINC:
R: Earnings: Ireland
- IL_RINC:
R: Earnings: Israel
- JP_RINC:
R: Earnings: Japan
- KR_RINC:
R: Earnings: South Korea
- LV_RINC:
R: Earnings: Latvia
- MX_RINC:
R: Earnings: Mexico
- NO_RINC:
R: Earnings: Norway
- NZ_RINC:
R: Earnings: New Zealand
- PH_RINC:
R: Earnings: Philippines
- PL_RINC:
R: Earnings: Poland
- RU_RINC:
R: Earnings: Russia
- SE_RINC:
R: Earnings: Sweden
- SI_RINC:
R: Earnings: Slovenia
- SK_RINC:
R: Earnings: Slovak Republic
- TW_RINC:
R: Earnings: Taiwan
- US_RINC:
R: Earnings: USA
- UY_RINC:
R: Earnings: Uruguay
- ZA_RINC:
R: Earnings: South Africa
|
Ctry. specific: inc
|
|---|
| Variables within
Ctry. specific: inc
- V1:
Study Number
- V15:
Q1j Frequency of free time activities: Sports, Gym
- V16:
Q1k Frequency of free time activities: Attend sporting events
- V17:
Q1l Frequency of free time activities: Do handicrafts
- V18:
Q1m Frequency of free time activities: Spend time on the Internet
- V19:
Q2a Free time activities enable you to be yourself
- AR_INC:
Family income: Argentina
- AT_INC:
Family income: Austria
- AU_INC:
Family income: Australia
- BG_INC:
Family income: Bulgaria
- CH_INC:
Family income: Switzerland
- CL_INC:
Family income: Chile
- CY_INC:
Family income: Cyprus
- CZ_INC:
Family income: Czech Republic
- DE_INC:
Family income: Germany
- DO_INC:
Family income: Dominican Republic
- FI_INC:
Family income: Finland
- FLA_INC:
Family income: Flanders
- FR_INC:
Family income: France
- GB_INC:
Family income: Great Britain
- HR_INC:
Family income: Croatia
- HU_INC:
Family income: Hungary
- IE_INC:
Family income: Ireland
- IL_INC:
Family income: Israel
- JP_INC:
Family income: Japan
- KR_INC:
Family income: South Korea
- LV_INC:
Family income: Latvia
- MX_INC:
Family income: Mexico
- NO_INC:
Family income: Norway
- NZ_INC:
Family income: New Zealand
- PH_INC:
Family income: Philippines
- PL_INC:
Family income: Poland
- RU_INC:
Family income: Russia
- SE_INC:
Family income: Sweden
- SI_INC:
Family income: Slovenia
- SK_INC:
Family income: Slovak Republic
- TW_INC:
Family income: Taiwan
- US_INC:
Family income: USA
- UY_INC:
Family income: Uruguay
- ZA_INC:
Family income: South Africa
|
Ctry. specific: party
|
|---|
| Variables within
Ctry. specific: party
- V1:
Study Number
- V2:
GESIS archive version
- V19:
Q2a Free time activities enable you to be yourself
- V20:
Q2b Free time activities strengthen your relationships
- V21:
Q3a Enjoyment from free time activities: Reading books
- V22:
Q3b Enjoyment from: Getting together with friends
- AR_PRTY:
R: Party affiliation: Argentina
- AT_PRTY:
R: Party affiliation: Austria (vote last election)
- AU_PRTY:
R: Party affiliation: Australia
- BG_PRTY:
R: Party affiliation: Bulgaria
- CH_PRTY:
R: Party affiliation: Switzerland
- CL_PRTY:
R: Party affiliation: Chile
- CY_PRTY:
R: Party affiliation: Cyprus
- CZ_PRTY:
R: Party affiliation: Czech Republic
- DE_PRTY:
R: Party affiliation: Germany
- DO_PRTY:
R: Party affiliation: Dominican Republic
- FI_PRTY:
R: Party affiliation: Finland
- FLA_PRTY:
R: Party affiliation: Flanders
- FR_PRTY:
R: Party affiliation: France
- GB_PRTY:
R: Party affiliation: Great Britain
- HR_PRTY:
R: Party affiliation: Croatia
- HU_PRTY:
R: Party affiliation: Hungary
- IE_PRTY:
R: Party affiliation: Ireland
- IL_PRTY:
R: Party affiliation: Israel
- JP_PRTY:
R: Party affiliation: Japan
- KR_PRTY:
R: Party affiliation: South Korea
- LV_PRTY:
R: Party affiliation: Latvia
- MX_PRTY:
R: Party affiliation: Mexico
- NO_PRTY:
R: Party affiliation: Norway
- NZ_PRTY:
R: Party affiliation: New Zealand
- PH_PRTY:
R: Party affiliation: Philippines
- PL_PRTY:
R: Party affiliation: Poland
- RU_PRTY:
R: Party affiliation: Russia
- SE_PRTY:
R: Party affiliation: Sweden
- SI_PRTY:
R: Party affiliation: Slovenia
- SK_PRTY:
R: Party affiliation: Slovak Republic
- TW_PRTY:
R: Party affiliation: Taiwan
- US_PRTY:
R: Party affiliation: USA
- UY_PRTY:
R: Party affiliation: Uruguay
- ZA_PRTY:
R: Party affiliation: South Africa
|
Ctry. specific: region
|
|---|
| Variables within
Ctry. specific: region
- V2:
GESIS archive version
- V23:
Q3c Enjoyment from: Taking part in physical activities
- V24:
Q3d Enjoyment from: Watching TV, videos
- V25:
Q4a How often in free time: Establish useful contacts
- V26:
Q4b How often in free time: Relax and recover
- AR_REG:
Region: Argentina
- AT_REG:
Region: Austria
- AU_REG:
Region: Australia
- BG_REG:
Region: Bulgaria
- CH_REG:
Region: Switzerland
- CL_REG:
Region: Chile
- CY_REG:
Region: Cyprus
- CZ_REG:
Region: Czech Republic
- DE_REG:
Region: Germany
- DO_REG:
Region: Dominican Republic
- FI_REG:
Region: Finland
- FLA_REG:
Region: Flanders
- FR_REG:
Region: France
- GB_REG:
Region: Great Britain
- HR_REG:
Region: Croatia
- HU_REG:
Region: Hungary
- IE_REG:
Region: Ireland
- IL_REG:
Region: Israel
- JP_REG:
Region: Japan
- KR_REG:
Region: South Korea
- LV_REG:
Region: Latvia
- MX_REG:
Region: Mexico
- NO_REG:
Region: Norway
- NZ_REG:
Region: New Zealand
- PH_REG:
Region: Philippines
- PL_REG:
Region: Poland
- RU_REG:
Region: Russia
- SE_REG:
Region: Sweden
- SI_REG:
Region: Slovenia
- SK_REG:
Region: Slovak Republic
- TW_REG:
Region: Taiwan
- US_REG:
Region: USA
- UY_REG:
Region: Uruguay
- ZA_REG:
Region: South Africa
|
Ctry. specific: size
|
|---|
| Variables within
Ctry. specific: size
- V2:
GESIS archive version
- V3:
Respondent ID Number
- V26:
Q4b How often in free time: Relax and recover
- V27:
Q4c How often in free time: Learn or develop skills
- V28:
Q5aa How often in free time: Feel bored
- V29:
Q5ab How often in free time: Feel rushed
- V30:
Q5ac How often in free time: Thinking about work
- AR_SIZE:
Size of community: Argentina
- AT_SIZE:
Size of community: Austria
- AU_SIZE:
Size of community: Australia
- BG_SIZE:
Size of community: Bulgaria
- CH_SIZE:
Size of community: Switzerland
- CL_SIZE:
Size of community: Republic of Chile
- CY_SIZE:
Size of community: Cyprus
- CZ_SIZE:
Size of community: Czech Republic
- DE_SIZE:
Size of community: Germany
- DO_SIZE:
Size of community: Dominican Republic
- FI_SIZE:
Size of community: Finland
- FLA_SIZE:
Size of community: Flanders
- FR_SIZE:
Size of community: France
- GB_SIZE:
Size of community: Great Britain
- HR_SIZE:
Size of community: Croatia
- HU_SIZE:
Size of community: Hungary
- IE_SIZE:
Size of community: Ireland
- IL_SIZE:
Size of community: Israel
- JP_SIZE:
Size of community: Japan
- KR_SIZE:
Size of community: South Korea
- LV_SIZE:
Size of community: Latvia
- MX_SIZE:
Size of community: Mexico
- NO_SIZE:
Size of community: Norway
- NZ_SIZE:
Size of community: New Zealand
- PH_SIZE:
Size of community: Philippines
- PL_SIZE:
Size of community: Poland
- RU_SIZE:
Size of community: Russia
- SE_SIZE:
Size of community: Sweden
- SI_SIZE:
Size of community: Slovenia
- SK_SIZE:
Size of community: Slovak Republic
- TW_SIZE:
Size of community: Taiwan
- US_SIZE:
Size of community: USA
- UY_SIZE:
Size of community: Uruguay
- ZA_SIZE:
Size of community: South Africa
|
ISSP demographics
|
|---|
| Variables within
ISSP demographics
- V1:
Study Number
- V2:
GESIS archive version
- V3:
Respondent ID Number
- V7:
Q1b Frequency of free time activities: Go to movies
- V11:
Q1f Frequency of free time activities: Get together with relatives
- V12:
Q1g Frequency of free time activities: Get together with friends
- V19:
Q2a Free time activities enable you to be yourself
- V22:
Q3b Enjoyment from: Getting together with friends
- V23:
Q3c Enjoyment from: Taking part in physical activities
- V30:
Q5ac How often in free time: Thinking about work
- SEX:
R: Sex
- AGE:
R: Age
- MARITAL:
R: Marital status
- COHAB:
R: Steady life-partner
- EDUCYRS:
R: Education I: years of schooling
- DEGREE:
R: Education II-highest education level
- WRKST:
R: Current employment status
- WRKHRS:
R: Hours worked weekly
- ISCO88:
R: Occupation ILO,ISCO 1988 4-digit
- WRKTYPE:
R: Workg f priv.,pub sector, selfempl.
- NEMPLOY:
R: Self-employed - number of employees
- WRKSUP:
R: Supervises others at work
- UNION:
R: Trade union membership
- SPWRKST:
S-P: Current employment status
- SPISCO88:
S-P: Occupation ILO,ISCO 1988 4-digit
- SPWRKTYP:
S-P:Workg f priv,pub sector,self-empl.
- HOMPOP:
How many persons in household
- HHCYCLE:
Household composition:children+adults
- PARTY_LR:
R: Party affiliation: left-right (derived)
- VOTE_LE:
R: Vote last election: yes, no
- RELIG:
R: Religious denomination
- RELIGGRP:
R: Religious main groups (derived)
- ATTEND:
R: Attendance of religious services
- TOPBOT:
R:Top Bottom self-placement 10 pt scale
- URBRURAL:
Type of community: R.s self-assesment
- ETHNIC:
Family origin, ethnic group, identity
|
Protocol variables
|
|---|
| Variables within
Protocol variables
- V3:
Respondent ID Number
- V30:
Q5ac How often in free time: Thinking about work
- MODE:
Administrative mode of data-collection
- SUBSCASE:
Case substitution flag
|
Weight
|
|---|
| Variables within
Weight
- V3:
Respondent ID Number
- V30:
Q5ac How often in free time: Thinking about work
- WEIGHT:
Weighting factor
|
Variables |
V1:
Study Number
|
|---|
Location:
Width:
6
| Question:
GESIS Study number ZA4850 for the ISSP 2007 'Leisure Time and Sports' Study number of the data set producer and archiving number
Range of Valid Data Values:
4850-
4850 Summary Statistics:
Valid
49729
; Min.
4850
; Max.
4850
Variable Format:
numeric |
V2:
GESIS archive version
|
|---|
Location:
Width:
25
| Question:
VERSION AND RELEASE DATE OF THE ARCHIVE DATA SET This variable identifies the GESIS archive version number of this data set and the corresponding release date, recorded as a string. The version number is composed of a sequence of three numbers. The mayor number is incremented when there are changes in the composition of the data set (e.g. additional variables or cases), the minor or second number is incremented when significant errors have been fixed (e.g. coding errors, misleading value labels), and the third or revision number is incremented when minor bugs are fixed (e.g. spelling errors in variable or value labels).
Summary Statistics:
Valid
49729
Variable Format:
character |
V3:
Respondent ID Number
|
|---|
Location:
Width:
6
| Question:
Respondent Identification Number The six digit numbers contain the original identification numbers of the respondents. The ID number is only unique within its respective country's sample (V4). To provide a unique identification across the full integrated file, it is necessary to combine V3 and V4.
Range of Valid Data Values:
1-
4194116 Summary Statistics:
Valid
49729
; Min.
1
; Max.
4194116
Variable Format:
numeric |
V4:
Country/Sample (see V5 for codes for whole nation states)
|
|---|
Location:
Width:
5
| Question:
Country/Sample (see V5 for codes for whole nation states). Variable uses the three digit ISO Code for the country and a numeric appendix after the decimal comma to indicate a subsample. If no subsamples exist for a given country, this holds the country's original ISO Code (see V5). 32 AR-Argentina 36 AU-Australia 40 AT-Austria<br/>
56,1 FLA-Flanders 100 BG-Bulgaria 152 CL-Chile 158 TW-Taiwan 191 HR-Croatia 196 CY-Cyprus 203 CZ-Czech Republic 214 DO-Dominican Republic 246 FI-Finland 250 FR-France 276,1 DE-W-Germany-West 276,2 DE-E-Germany-East 348 HU-Hungary 372 IE-Ireland 376,1 IL-Israel, Jewish 376,2 IL-Israel, Arab 392 JP-Japan 410 KR-South Korea 428 LV-Latvia 484 MX-Mexico 554 NZ-New Zealand 578 NO-Norway 608 PH-Philippines 616 PL-Poland 643 RU-Russia 703 SK-Slovak Republic 705 SI-Slovenia 710 ZA-South Africa 752 SE-Sweden 756 CH-Switzerland 826,1 GB-Great Britain 826,2 NIRL-Northern Ireland 840 US-United States 858 UY-Uruguay
Range of Valid Data Values:
32-
862 Summary Statistics:
Valid
49729
; Min.
32
; Max.
858
Variable Format:
numeric |
V5:
Country (see V4 for codes for the sample)
|
|---|
Location:
Width:
3
| Question:
ISO Code of the countries (three digit) 32 AR-Argentina 36 AU-Australia 40 AT-Austria 56 FLA-Flanders (Belgium) 100 BG-Bulgaria 152 CL-Chile 158 TW-Taiwan 191 HR-Croatia 196 CY-Cyprus 203 CZ-Czech Republic 214 DO-Dominican Republic 246 FI-Finland 250 FR-France 276 DE-Germany 348 HU-Hungary 372 IE-Ireland 376 IL-Israel 392 JP-Japan 410 KR-South Korea 428 LV-Latvia 484 MX-Mexico 554 NZ-New Zealand 578 NO-Norway 608 PH-Philippines 616 PL-Poland 643 RU-Russia 703 SK-Slovak Republic 705 SI-Slovenia 710 ZA-South Africa 752 SE-Sweden 756 CH-Switzerland 826 GB-Great Britain (UK) 840 US-United States 858 UY-Uruguay
Range of Valid Data Values:
32-
862 Summary Statistics:
Valid
49729
; Min.
32
; Max.
858
Variable Format:
numeric |
V6:
Q1a Frequency of activities in free time: Watch TV
|
|---|
Location:
Width:
1
| Question:
The following questions are related to your free time, that is, time you are not occupied with work or household duties or other activities that you are obliged to do. Q.1 How often do you do each of the following activities in your free time? (Please tick one box on each line) Q.1a Watch TV, DVD, videos 1 Daily 2 Several times a week 3 Several times a month 4 Several times a year or less often 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49402
; Min.
1
; Max.
5
Variable Format:
numeric |
V7:
Q1b Frequency of free time activities: Go to movies
|
|---|
Location:
Width:
1
| Question:
Q.1 How often do you do each of the following activities in your free time? Q.1b Free time activities: Go to the movies 1 Daily 2 Several times a week 3 Several times a month 4 Several times a year or less often 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49142
; Min.
1
; Max.
5
Variable Format:
numeric |
V8:
Q1c Frequency of free time activities: Go out shopping
|
|---|
Location:
Width:
1
| Question:
Q.1 How often do you do each of the following activities in your free time? Q.1c Free time activities: Go out shopping 1 Daily 2 Several times a week 3 Several times a month 4 Several times a year or less often 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49052
; Min.
1
; Max.
5
Variable Format:
numeric |
V9:
Q1d Frequency of free time activities: Read books
|
|---|
Location:
Width:
1
| Question:
Q.1 How often do you do each of the following activities in your free time? Q.1d Free time activities: Read books 1 Daily 2 Several times a week 3 Several times a month 4 Several times a year or less often 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49122
; Min.
1
; Max.
5
Variable Format:
numeric |
V10:
Q1e Frequency of free time activities: Attend cultural events
|
|---|
Location:
Width:
1
| Question:
Q.1 How often do you do each of the following activities in your free time? Q.1e Free time activities: Attend cultural events such as concerts, live theatre, exhibitions 1 Daily 2 Several times a week 3 Several times a month 4 Several times a year or less often 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49058
; Min.
1
; Max.
5
Variable Format:
numeric |
V11:
Q1f Frequency of free time activities: Get together with relatives
|
|---|
Location:
Width:
1
| Question:
Q.1 How often do you do each of the following activities in your free time? Q.1f Free time activities: Get together with relatives 1 Daily 2 Several times a week 3 Several times a month 4 Several times a year or less often 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49216
; Min.
1
; Max.
5
Variable Format:
numeric |
V12:
Q1g Frequency of free time activities: Get together with friends
|
|---|
Location:
Width:
1
| Question:
Q.1 How often do you do each of the following activities in your free time? Q.1g Free time activities: Get together with friends 1 Daily 2 Several times a week 3 Several times a month 4 Several times a year or less often 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49214
; Min.
1
; Max.
5
Variable Format:
numeric |
V13:
Q1h Frequency of free time activities: Play cards
|
|---|
Location:
Width:
1
| Question:
Q.1 How often do you do each of the following activities in your free time? Q.1h Free time activities: Play cards or board games 1 Daily 2 Several times a week 3 Several times a month 4 Several times a year or less often 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
48959
; Min.
1
; Max.
5
Variable Format:
numeric |
V14:
Q1i Frequency of free time activities: Listen to music
|
|---|
Location:
Width:
1
| Question:
Q.1 How often do you do each of the following activities in your free time? Q.1i Free time activities: Listen to music 1 Daily 2 Several times a week 3 Several times a month 4 Several times a year or less often 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49130
; Min.
1
; Max.
5
Variable Format:
numeric |
V15:
Q1j Frequency of free time activities: Sports, Gym
|
|---|
Location:
Width:
1
| Question:
Q.1 How often do you do each of the following activities in your free time? Q.1j Free time activities: Take part in physical activities such as sports, going to the gym, going for a walk 1 Daily 2 Several times a week 3 Several times a month 4 Several times a year or less often 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49209
; Min.
1
; Max.
5
Variable Format:
numeric |
V16:
Q1k Frequency of free time activities: Attend sporting events
|
|---|
Location:
Width:
1
| Question:
Q.1 How often do you do each of the following activities in your free time? Q.1k Free time activities: Attend sporting events as a spectator 1 Daily 2 Several times a week 3 Several times a month 4 Several times a year or less often 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
089 Summary Statistics:
Valid
49117
; Min.
1
; Max.
5
Variable Format:
numeric |
V17:
Q1l Frequency of free time activities: Do handicrafts
|
|---|
Location:
Width:
1
| Question:
Q.1 How often do you do each of the following activities in your free time? Q.1l Free time activities: Do handicrafts such as needle work, wood work, etc. 1 Daily 2 Several times a week 3 Several times a month 4 Several times a year or less often 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49119
; Min.
1
; Max.
5
Variable Format:
numeric |
V18:
Q1m Frequency of free time activities: Spend time on the Internet
|
|---|
Location:
Width:
1
| Question:
Q.1 How often do you do each of the following activities in your free time? Q.1m Free time activities: Spend time on the Internet/ PC 1 Daily 2 Several times a week 3 Several times a month 4 Several times a year or less often 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49182
; Min.
1
; Max.
5
Variable Format:
numeric |
V19:
Q2a Free time activities enable you to be yourself
|
|---|
Location:
Width:
1
| Question:
Q.2 When you are involved in free time activities to what extent do they enable you (Please tick one box on each line ) Q.2a To be the kind person you really are? 1 Very much 2 A lot 3 Somewhat 4 A little 5 Not at all 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
46480
; Min.
1
; Max.
5
Variable Format:
numeric |
V20:
Q2b Free time activities strengthen your relationships
|
|---|
Location:
Width:
1
| Question:
Q.2 When you are involved in free time activities to what extent do they enable you Q.2b To strengthen your relationships with other people? 1 Very much 2 A lot 3 Somewhat 4 A little 5 Not at all 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
46741
; Min.
1
; Max.
5
Variable Format:
numeric |
V21:
Q3a Enjoyment from free time activities: Reading books
|
|---|
Location:
Width:
1
| Question:
Q.3 Please, indicate how much enjoymet you get from the following free time activities: (Please tick one box on each line) Q.3a Reading books 1 No enjoyment 2 Not much enjoyment 3 Some enjoyment 4 A fair amount of enjoyment 5 A great amount of enjoyment 6 I never do that 8 Can't choose 9 No answer in Hungary (HU): 0 Not available
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
089 Summary Statistics:
Valid
48031
; Min.
1
; Max.
6
Variable Format:
numeric |
V22:
Q3b Enjoyment from: Getting together with friends
|
|---|
Location:
Width:
1
| Question:
Q.3 Please, indicate how much enjoymet you get from the following free time activities: Q.3b Enjoyment from: Getting tgether with friends 1 No enjoyment 2 Not much enjoyment 3 Some enjoyment 4 A fair amount of enjoyment 5 A great amount of enjoyment 6 I never do that 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49216
; Min.
1
; Max.
6
Variable Format:
numeric |
V23:
Q3c Enjoyment from: Taking part in physical activities
|
|---|
Location:
Width:
1
| Question:
Q.3 Please, indicate how much enjoymet you get from the following free time activities: Q.3c Enjoyment from: Taking part in physical activities such as sports, going to t he gym, going for a walk 1 No enjoyment 2 Not much enjoyment 3 Some enjoyment 4 A fair amount of enjoyment 5 A great amount of enjoyment 6 I never do that 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49020
; Min.
1
; Max.
6
Variable Format:
numeric |
V24:
Q3d Enjoyment from: Watching TV, videos
|
|---|
Location:
Width:
1
| Question:
Q.3 Please, indicate how much enjoymet you get from the following free time activities: Q.3d Enjoyment from: Watching TV, DVD, videos 1 No enjoyment 2 Not much enjoyment 3 Some enjoyment 4 A fair amount of enjoyment 5 A great amount of enjoyment 6 I never do that 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49301
; Min.
1
; Max.
6
Variable Format:
numeric |
V25:
Q4a How often in free time: Establish useful contacts
|
|---|
Location:
Width:
1
| Question:
II The meaning of time and leisure, and its relation to work and other spheres of life Q.4 People do different things during their free time. For each of the following, please indicate how often you use your free time to (Please tick one box on each line) Q.4a Establish useful contacts 1 Very often 2 Often 3 Sometimes 4 Seldom 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
47851
; Min.
1
; Max.
5
Variable Format:
numeric |
V26:
Q4b How often in free time: Relax and recover
|
|---|
Location:
Width:
1
| Question:
Q.4 People do different things during their free time. For each of the following, please indicate how often you use your free time to Q.4b Relax and recover 1 Very often 2 Often 3 Sometimes 4 Seldom 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
48655
; Min.
1
; Max.
5
Variable Format:
numeric |
V27:
Q4c How often in free time: Learn or develop skills
|
|---|
Location:
Width:
1
| Question:
Q.4 People do different things during their free time. For each of the following, please indicate how often you use your free time to Q.4c Try to learn or develop skills 1 Very often 2 Often 3 Sometimes 4 Seldom 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
47887
; Min.
1
; Max.
5
Variable Format:
numeric |
V28:
Q5aa How often in free time: Feel bored
|
|---|
Location:
Width:
1
| Question:
Q.5a In your free time, how often do you (Please tick one boy on each line) Q.5aa Feel bored? 1 Very often 2 Often 3 Sometimes 4 Seldom 5 Never 8 Don't know, can't choose, can't say 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
48837
; Min.
1
; Max.
5
Variable Format:
numeric |
V29:
Q5ab How often in free time: Feel rushed
|
|---|
Location:
Width:
1
| Question:
Q.5a In your free time, how often do you Q.5ab Feel rushed? 1 Very often 2 Often 3 Sometimes 4 Seldom 5 Never 8 Don't know, can't choose, can't say 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
48743
; Min.
1
; Max.
5
Variable Format:
numeric |
V30:
Q5ac How often in free time: Thinking about work
|
|---|
Location:
Width:
1
| Question:
Q.5a In your free time, how often do you Q.5ac Find yourself thinking about work? 0 Doesn't apply 1 Very often 2 Often 3 Sometimes 4 Seldom 5 Never 8 Don't know, can't choose, can't say 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
089 Summary Statistics:
Valid
44445
; Min.
1
; Max.
5
Variable Format:
numeric |
V31:
Q5b Preference in free time: With other people or by oneself
|
|---|
Location:
Width:
1
| Question:
Q.5b In your free time, do you prefer to be with other people or do you prefer to be by yourself? (Please tick one box only) 1 Most of time with other people 2 More with other people than alone 3 More alone than with other people 4 Most of time alone 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
89 Summary Statistics:
Valid
47709
; Min.
1
; Max.
4
Variable Format:
numeric |
V32:
Q6a Change in spending time: Time in a paid job
|
|---|
Location:
Width:
1
| Question:
Q.6 Suppose you could change the way you spoend your time, spending morer time on things and less time on others which of the things on the folllowing list would you like to spend more time on, which woild you ike to spend less time on and which you like to spend the same amount of time on as now? (Please tick one box on each line) Q.6a Time in a paid job 0 Doesn't apply 1 Much more time 2 A bit more time 3 Same time as now 4 A bit less time 5 Much less time 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
089 Summary Statistics:
Valid
36913
; Min.
1
; Max.
5
Variable Format:
numeric |
V33:
Q6b Change in spending time: Doing household work
|
|---|
Location:
Width:
1
| Question:
Q.6 Suppose you could change the way you spoend your time, spending morer time on things and less time on others which of the things on the folllowing list would you like to spend more time on, which woild you ike to spend less time on and which you like to spend the same amount of time on as now? Q.6b Spend more time in: Time doing household work 0 Doesn't apply 1 Much more time 2 A bit more time 3 Same time as now 4 A bit less time 5 Much less time 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
089 Summary Statistics:
Valid
46074
; Min.
1
; Max.
5
Variable Format:
numeric |
V34:
Q6c Change in spending time: Time with your family
|
|---|
Location:
Width:
1
| Question:
Q.6 Suppose you could change the way you spoend your time, spending morer time on things and less time on others which of the things on the folllowing list would you like to spend more time on, which woild you ike to spend less time on and which you like to spend the same amount of time on as now? Q.6c Spend more time in: Time with your family 0 Doesn't apply 1 Much more time 2 A bit more time 3 Same time as now 4 A bit less time 5 Much less time 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
089 Summary Statistics:
Valid
47711
; Min.
1
; Max.
5
Variable Format:
numeric |
V35:
Q6d Change in spending time: Time in leisure activities
|
|---|
Location:
Width:
1
| Question:
Q.6 Suppose you could change the way you spoend your time, spending morer time on things and less time on others which of the things on the folllowing list would you like to spend more time on, which woild you ike to spend less time on and which you like to spend the same amount of time on as now? Q.6d Spend more time in: Time in leisure activities 0 Doesn't apply 1 Much more time 2 A bit more time 3 Same time as now 4 A bit less time 5 Much less time 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
089 Summary Statistics:
Valid
46746
; Min.
1
; Max.
5
Variable Format:
numeric |
V36:
Q7a How many nights away from home for holidays
|
|---|
Location:
Width:
1
| Question:
Q.7a In the last 12 months, how many nights altogether did you stay away from home fpor holidays or social visits? (Please tick one box only) 0 I was not away 1 1-5 nights 2 6-10 nights 3 11-20 nights 4 21-30 nights 5 More than 30 nights 8 Can't choose 9 No answer
Range of Valid Data Values:
0-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
48327
; Min.
0
; Max.
5
Variable Format:
numeric |
V37:
Q7b How many days of leave from work
|
|---|
Location:
Width:
1
| Question:
Q.7b In the last 12 months, how many days of leave from your work, if any, did you take altogether (do not include maternity or sick leaves or similar types of leave)? (Please tick one box only ) 0 None, I was not away 1 1-5 days 2 6-10 days 3 11-20 days 4 21-30 days 5 More than 30 days 6 I do not work 8 Can't choose 9 No answer
Range of Valid Data Values:
0-
5 Range of Invalid Data Values:
689 Summary Statistics:
Valid
33598
; Min.
0
; Max.
5
Variable Format:
numeric |
V38:
Q8a Most frequent sport or physical activity
|
|---|
Location:
Width:
3
| Question:
III Sport/ game activities and subjective functions of sport and games Q.8a What sport or physical activity do you take part in most frequently? (if you do not take part in any sport or physical activity, please tick the box provided below). (< Open-ended>) Q.8a Most frequent sport or physical activity 100 Team sports 101 American football 102 Baseball, softball 103 Basketball 104 Cricket 105 Ice hockey 106 Field hockey 107 Football, soccer 108 Handball 109 Netball 110 Polo, water polo 111 Rugby 112 Volleyball 199 Other team sports 200 Racket sports 201 Badminton 202 Squash 203 Table tennis 204 Tennis 299 Other racket or bat sports 300 Athletics and fitness sports 301 Athletics (e.g. running, long-/high-jumping), marathon 302 Body training (eg body-building, artist.gymnastics) 303 Fitness (aerobics, exercise machine-training, work-out) 304 Jogging 305 Walking, Nordic-w, trekking, climbing) 399 Other fitness sports 400 Other sports 401 Adrenaline sports (e.g. bungee-jumping, paragliding) 402 Billiards, pool, snooker 403 Biathlon, triathlon 404 Bowling, curling, bocce 405 Boat sports (e.g. sailing, rowing, yachting) 406 Bullfight 407 Cockfighting 408 Cycling, mountain-biking 409 Dancing (e.g. ballroom dancing, ballet) 410 Darts 411 Fencing 412 Fishing, hunting 413 Golf, minigolf 414 Horse riding, horse racing 415 Ice skating 416 Inline skating, skateboarding, roller skating 417 Martial arts (e.g. Boxing, wrestling, Judo) 418 Motor sports (motor racing, go carting) 419 Rodeo 420 Shooting (pistols, rifle, archery) 421 Swimming, diving, snorkeling 422 Surfing, water-skiing 423 Snow-sports (skiing, snowboarding, cross-country) 499 Other sports 996 I do not take part in any sport, none, no frequent sport 998 Don´t know, can´t choose 999 No answer
Range of Valid Data Values:
100-
499 Range of Invalid Data Values:
996-
999 Summary Statistics:
Valid
28643
; Min.
100
; Max.
499
Variable Format:
numeric |
V39:
Q8b Type of games played most frequently
|
|---|
Location:
Width:
2
| Question:
Q.8b Thinking about games rather than sports or physical activities, what type of game do you play most frequently? (Select the most appropriate game from the list below and tick the corresponding box). (If you do not play any game, please tick he box at the very bottom of the list.) Please tick one box only 1 Backgammon 2 Checkers (brit. draughts) 3 Chess 4 Go 5 Other board games 6 Card games 7 Dominoes 8 Mah-jongg 9 Jigsaw puzzles 10 Word or number games 11 Video games, computer games 12 Gambling games 13 Country specific games 14 Other games 96 I do not play any game 98 Don't know; CL,IL,SI: Can't choose, don't know 99 No answer
Range of Valid Data Values:
1-
14 Range of Invalid Data Values:
969899 Summary Statistics:
Valid
29244
; Min.
1
; Max.
14
Variable Format:
numeric |
V40:
Q9a Reasons for sport or games: Physical or mental health
|
|---|
Location:
Width:
1
| Question:
Q.9 Please indicate how important the following reasons are for you to take part in sports oor games. (Please tick one box on each line) Q.9a For physical or mental health 0 Doesn't apply 1 Very important 2 Somewhat important 3 Not very important 4 Not important 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
089 Summary Statistics:
Valid
42295
; Min.
1
; Max.
4
Variable Format:
numeric |
V41:
Q9b Reasons for sport or games: To meet other people
|
|---|
Location:
Width:
1
| Question:
Q.9 Please indicate how important the following reasons are for you to take part in sports oor games. Q.9b Reasons to take part in sports or games: To meet people 0 Doesn't apply 1 Very important 2 Somewhat important 3 Not very important 4 Not important 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
089 Summary Statistics:
Valid
41870
; Min.
1
; Max.
4
Variable Format:
numeric |
V42:
Q9c Reasons for sport or games: To compete against others
|
|---|
Location:
Width:
1
| Question:
Q.9 Please indicate how important the following reasons are for you to take part in sports oor games. Q.9c Reasons to take part in sports or games: To compete against others 0 Doesn't apply 1 Very important 2 Somewhat important 3 Not very important 4 Not important 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
089 Summary Statistics:
Valid
40092
; Min.
1
; Max.
4
Variable Format:
numeric |
V43:
Q9d Reasons for sport or games: To look good
|
|---|
Location:
Width:
1
| Question:
Q.9 Please indicate how important the following reasons are for you to take part in sports oor games. Q.9d Reasons to take part in sports or games: To look good 0 Doesn't apply 1 Very important 2 Somewhat important 3 Not very important 4 Not important 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
089 Summary Statistics:
Valid
40587
; Min.
1
; Max.
4
Variable Format:
numeric |
V44:
Q10a Most frequent sport watched on TV
|
|---|
Location:
Width:
3
| Question:
Q.10a What sport do you watch on TV most frequently? (If you do not watch any sport on TV, please tick the box provided below and skip to question 11) (< Open-ended>) 100 Team sports 101 American football 102 Baseball, softball 103 Basketball 104 Cricket 105 Ice hockey 106 Field hockey 107 Football, soccer 108 Handball 109 Netball 110 Polo, water polo 111 Rugby 112 Volleyball 199 Other team sports 200 Racket sports 201 Badminton 202 Squash 203 Table tennis 204 Tennis 299 Other racket or bat sports 300 Athletics and fitness sports 301 Athletics (eg running, long-/high-jumping), marathon 302 Body training (eg body-building, artist.gymnastics) 303 Fitness (aerobics, exercise machine-training, work-out) 304 Jogging 305 Walking, Nordic-w, trekking, climbing) 399 Other fitness sports 400 Other sports 401 Adrenaline sports (e.g. bungee-jumping, paragliding) 402 Billiards, pool, snooker 403 Biathlon, triathlon 404 Bowling, curling, bocce 405 Boat sports (e.g. sailing, rowing, yachting) 406 Bullfight 407 Cockfighting 408 Cycling, mountain-biking 409 Dancing (e.g. ballroom dancing, ballet) 410 Darts 411 Fencing 412 Fishing, hunting 413 Golf, minigolf 414 Horse riding, horse racing 415 Ice skating 416 Inline skating, skateboarding, roller skating 417 Martial arts (e.g. Boxing, wrestling, Judo) 418 Motor sports (motor racing, go carting) 419 Rodeo 420 Shooting (pistols, rifle, archery) 421 Swimming, diving, snorkeling 422 Surfing, water-skiing 423 Snow-sports (skiing, snowboarding, cross-country) 425 US: Boxing 426 US:Wrestling 499 Other sports 996 I do not watch any sport 998 Don´t know, Can´t choose 999 No answer
Range of Valid Data Values:
100-
499 Range of Invalid Data Values:
996-
999 Summary Statistics:
Valid
34770
; Min.
100
; Max.
499
Variable Format:
numeric |
V45:
Q10b Second most frequent sport watched on TV
|
|---|
Location:
Width:
3
| Question:
Q.10b What sport is the second most frequent that you watch on TV? (< Open-ended>) Second most frequent sport watched 0 NAP, I do not watch any sport; none, no second sport; NAV 100 Team sports 101 American football 102 Baseball, softball 103 Basketball 104 Cricket 105 Ice hockey 106 Field hockey 107 Football, soccer 108 Handball 109 Netball 110 Polo, water polo 111 Rugby 112 Volleyball 199 Other team sports 200 Racket sports 201 Badminton 202 Squash 203 Table tennis 204 Tennis 299 Other racket or bat sports 300 Athletics and fitness sports 301 Athletics (eg running, long-/high-jumping), marathon 302 Body training (eg body-building, artist.gymnastics) 303 Fitness (aerobics, exercise machine-training, work-out) 304 Jogging 305 Walking, Nordic-w, trekking, climbing) 399 Other fitness sports 400 Other sports 401 Adrenaline sports (e.g. bungee-jumping, paragliding) 402 Billiards, pool, snooker 403 Biathlon, triathlon 404 Bowling, curling, bocce 405 Boat sports (e.g. sailing, rowing, yachting) 406 Bullfight 407 Cockfighting 408 Cycling, mountain-biking 409 Dancing (e.g. ballroom dancing, ballet) 410 Darts 411 Fencing 412 Fishing, hunting 413 Golf, minigolf 414 Horse riding, horse racing 415 Ice skating 416 Inline skating, skateboarding, roller skating 417 Martial arts (e.g. Boxing, wrestling, Judo) 418 Motor sports (motor racing, go carting) 419 Rodeo 420 Shooting (pistols, rifle, archery) 421 Swimming, diving, snorkeling 422 Surfing, water-skiing 423 Snow-sports (skiing, snowboarding, cross-country) 425 US: Boxing 426 US:Wrestling 499 Other sports 996 No further sports mentioned 998 Don't know; CL,SI: Can´t choose 999 No answer
Range of Valid Data Values:
100-
499 Range of Invalid Data Values:
996-
9990 Summary Statistics:
Valid
27747
; Min.
100
; Max.
499
Variable Format:
numeric |
V46:
Q11 How proud about an international sport competition?
|
|---|
Location:
Width:
1
| Question:
IV Sociological aspects of sport: Q.11 How proud are you when < R' s country> does well at an international sports or games competition? (Please tick one box only) 1 I am very proud 2 I am somewhat proud 3 I am not very proud 4 I am not proud at all 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
89 Summary Statistics:
Valid
46729
; Min.
1
; Max.
4
Variable Format:
numeric |
V47:
Q12a Opinion: Sport develops children´s character
|
|---|
Location:
Width:
1
| Question:
Q.12 People have different opinions abor sports. To what extent do you agree or disagree with the following statements? (Please tick one box on each line) Q.12a Taking part in sports develops children's character 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
48124
; Min.
1
; Max.
5
Variable Format:
numeric |
V48:
Q12b Opinion: Too much sport on TV
|
|---|
Location:
Width:
1
| Question:
Q.12 People have different opinions abor sports. To what extent do you agree or disagree with the following statements? Q.12b Opinions about sport: There is too much sport on TV 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
46126
; Min.
1
; Max.
5
Variable Format:
numeric |
V49:
Q12c Opinion: Sport brings different groups together
|
|---|
Location:
Width:
1
| Question:
Q.12 People have different opinions abor sports. To what extent do you agree or disagree with the following statements? Q.12c Opinions about sport: Sports brings different groups and races < R's country> closer together 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
46744
; Min.
1
; Max.
5
Variable Format:
numeric |
V50:
Q12d Opinion: International sport competitions create tension between countries
|
|---|
Location:
Width:
1
| Question:
Q.12 People have different opinions abor sports. To what extent do you agree or disagree with the following statements? Q.12d Opinions about sport: International sports competitions create more tension between countries than good feelings 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
45829
; Min.
1
; Max.
5
Variable Format:
numeric |
V51:
Q12e Opinion: Government should spend more money on sports
|
|---|
Location:
Width:
1
| Question:
Q.12 People have different opinions abor sports. To what extent do you agree or disagree with the following statements? Q.12e This country's < R's country> government should spend more money on sports. 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
46004
; Min.
1
; Max.
5
Variable Format:
numeric |
V52:
Q13a Participation: A sports association/group
|
|---|
Location:
Width:
1
| Question:
V Social and political participation Q.13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups? (Please tick one box on each line) Q.13a A sports association/ group 1 At least once a week 2 At least once a month 3 Several times 4 Once or twice 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
48511
; Min.
1
; Max.
5
Variable Format:
numeric |
V53:
Q13b Participation: A cultural association/group
|
|---|
Location:
Width:
1
| Question:
Q.13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups? Q.13b Participation in activities of: A cultural association/ group 1 At least once a week 2 At least once a month 3 Several times 4 Once or twice 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
48143
; Min.
1
; Max.
5
Variable Format:
numeric |
V54:
Q13c Participation: A church or religious organisation
|
|---|
Location:
Width:
1
| Question:
Q.13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups? Q.13c Participation in activities of: A church or other religious organisation 1 At least once a week 2 At least once a month 3 Several times 4 Once or twice 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
48309
; Min.
1
; Max.
5
Variable Format:
numeric |
V55:
Q13d Participation: A community-service or civic association/group
|
|---|
Location:
Width:
1
| Question:
Q.13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups? Q.13d Participation in activities of: A community-service or civic association/ group 1 At least once a week 2 At least once a month 3 Several times 4 Once or twice 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
48385
; Min.
1
; Max.
5
Variable Format:
numeric |
V56:
Q13e Participation: A political party or organisation
|
|---|
Location:
Width:
1
| Question:
Q.13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups? Q.13e Participation in activities of: A political party or organisation 1 At least once a week 2 At least once a month 3 Several times 4 Once or twice 5 Never 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
47983
; Min.
1
; Max.
5
Variable Format:
numeric |
V57:
Q14a Trust in people or careful in dealing with people
|
|---|
Location:
Width:
1
| Question:
Q.14a Generally speaking, would you say that people can be trusted or that you can't be too careful in dealing with people? (Please tick one box only) 1 People can almost always be trusted 2 People can usually be trusted 3 You usually can't be too careful in dealing with people 4 You almost always can't be too careful in dealing with people 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
89 Summary Statistics:
Valid
48439
; Min.
1
; Max.
4
Variable Format:
numeric |
V58:
Q14b Personal interest in politics
|
|---|
Location:
Width:
1
| Question:
Q.14b How interested would you say you personally are in politics? (Please tick one box only) 1 Very interested 2 Fairly interested 3 Not very interested 4 Not at all interested 8 Can't choose 9 No answer in Slovenia (SI): 0 Not available
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
089 Summary Statistics:
Valid
47919
; Min.
1
; Max.
4
Variable Format:
numeric |
V59:
Q15a Obstacle: Lack of facilities nearby
|
|---|
Location:
Width:
1
| Question:
VI Social determinants and consequences of leisure Q.15 To what extent do you the following conditions prevent from doing the free activities you would like to do? (Please tick one box on each line) Q.15a Lack of facilities nearby 1 Very much 2 To a large extent 3 To some extent 4 Not at all 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
89 Summary Statistics:
Valid
46011
; Min.
1
; Max.
4
Variable Format:
numeric |
V60:
Q15b Obstacle: Lack of money
|
|---|
Location:
Width:
1
| Question:
Q.15 To what extent do you the following conditions prevent from doing the free activities you would like to do? Q.15b Conditions prevent from doing: Lack of money 1 Very much 2 To a large extent 3 To some extent 4 Not at all 8 Can´t choose 9 No answer
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
89 Summary Statistics:
Valid
47152
; Min.
1
; Max.
4
Variable Format:
numeric |
V61:
Q15c Obstacle: Personal health, age or disability
|
|---|
Location:
Width:
1
| Question:
Q.15 To what extent do you the following conditions prevent from doing the free activities you would like to do? Q.15c Conditions prevent from doing: Personal health, age or disability 1 Very much 2 To a large extent 3 To some extent 4 Not at all 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
89 Summary Statistics:
Valid
47591
; Min.
1
; Max.
4
Variable Format:
numeric |
V62:
Q15d Obstacle: Taking care of someone
|
|---|
Location:
Width:
1
| Question:
Q.15 To what extent do you the following conditions prevent from doing the free activities you would like to do? Q.15d Conditions prevent from doing: Need to take care of someone (elderly, children, ..) 1 Very much 2 To a large extent 3 To some extent 4 Not at all 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
89 Summary Statistics:
Valid
46861
; Min.
1
; Max.
4
Variable Format:
numeric |
V63:
Q15e Obstacle: Lack of time
|
|---|
Location:
Width:
1
| Question:
Q.15 To what extent do you the following conditions prevent from doing the free activities you would like to do? Q.15e Conditions prevent from doing: Lack of time 1 Very much 2 To a large extent 3 To some extent 4 Not at all 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
89 Summary Statistics:
Valid
47317
; Min.
1
; Max.
4
Variable Format:
numeric |
V64:
Q16 How happy or unhappy in general, these days
|
|---|
Location:
Width:
1
| Question:
Q.16 If you were consider your life in general tehse days, how happy or unhappy would you say you are, on the whole ... (Please tick one box only) 1 Very happy 2 Fairly happy 3 Not very happy 4 Not at all happy 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
89 Summary Statistics:
Valid
48568
; Min.
1
; Max.
4
Variable Format:
numeric |
V65:
Q17 Status of health in general
|
|---|
Location:
Width:
1
| Question:
Q.17 In general, would you say your health is ... (Please tick one box only) 1 Excellent 2 Very good 3 Good 4 Fair 5 Poor 8 Can't choose 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49347
; Min.
1
; Max.
5
Variable Format:
numeric |
V66:
Q18a Yesterday was: Working-day or holiday
|
|---|
Location:
Width:
1
| Question:
Optional items Q.18 Now two questions about yesterday. (Please tick one box only) Q.18a Just to recall for you, yesterday was ... 0 Not available: AR, AU, AT, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY 1 A weekday or working-day 2 A day off or a holiday 8 SK: Don´t know 9 No answer
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
09 Summary Statistics:
Valid
13477
; Min.
1
; Max.
8
Variable Format:
numeric |
V67:
Q18b Time of getting up yesterday
|
|---|
Location:
Width:
4
| Question:
Q.18 Now two questions about yesterday. (Please enter using the 24-hour format) Q.18b At about what time did you get up yesterday? 0 0:00 o' clock 2359 23:59 o' clock 9990 Not available; not asked: AR, AU, AT, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY 9999 No answer, don't know
Range of Valid Data Values:
0-
2300 Range of Invalid Data Values:
99909999 Summary Statistics:
Valid
11547
; Min.
0
; Max.
2300
Variable Format:
numeric |
V68:
Q18c Time go to sleep yesterday
|
|---|
Location:
Width:
4
| Question:
Q.18 Now two questions about yesterday. (Please enter using the 24-hour format) Q.18c At about what time did you go to sleep yesterday? 0 0:00 o' clock 2359 23:59 o' clock 9990 Not available; not asked: AR, AU, AT, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY 9999 No answer, don't know
Range of Valid Data Values:
0-
2359 Range of Invalid Data Values:
99909999 Summary Statistics:
Valid
11540
; Min.
0
; Max.
2359
Variable Format:
numeric |
V69:
Q19a Height of Respondent: cm
|
|---|
Location:
Width:
3
| Question:
Q.19a Could you please tell me your height (< Countries not using metric height and weight: Please use local units and convert to metric units in the data file you deposit to the Archive>) 0 Not available: AR, AU, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY 60 60 cm 206 206 cm 998 Don't know 999 No answer in Israel (IL): 999 Don't know, no answer in South Korea (KR): 999 Don't know, no answer in Switzerland (CH): 999 Don't know, no answer in Uruguay (UY): 999 Don't know, no answer
Range of Valid Data Values:
60-
206 Range of Invalid Data Values:
0998999 Summary Statistics:
Valid
23906
; Min.
120
; Max.
206
Variable Format:
numeric |
V70:
Q19b Weight of Respondent: kg
|
|---|
Location:
Width:
3
| Question:
Q.19b Could you please tell me your weight (< Countries not using metric height and weight: Please use local units and convert to metric units in the data file you deposit to the Archive>) 0 Not available, not asked: AR, AU, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY 32 32 Kg 200 200 Kg 998 Don't know 999 No answer in Israel (IL): 999 Don't know, no answer in South Korea (KR): 999 Don't know, no answer in Switzerland (CH): 999 Don't know, no answer in Uruguay (UY): 999 Don't know, no answer
Range of Valid Data Values:
32-
200 Range of Invalid Data Values:
0998999 Summary Statistics:
Valid
24234
; Min.
32
; Max.
200
Variable Format:
numeric |
V71:
Q20 Would you like to gain or lose weight?
|
|---|
Location:
Width:
1
| Question:
Q.20 Would you like to ... (Please tick one box only) 0 Not available, not asked: AR, AU, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY 1 Gain weight 2 Maintain your current weight 3 Lose weight 8 I don´t care about my weight 9 No answer
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
09 Summary Statistics:
Valid
24067
; Min.
1
; Max.
8
Variable Format:
numeric |
V72:
Q21a Pictures of the ideal shape of a man
|
|---|
Location:
Width:
1
| Question:
Q.21 Which of the following pictures come closest to your conception of an ideal shape of a man and a woman? (Please tick the box below the picture of your choice of the ideal man) Q.21a Man 0 Not available: AR, AU, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY 1 Picture 1 (very corpulent) 2 Picture 2 (corpulent) 3 Picture 3 (slender) 4 Picture 4 (very slender) 8 SK: Don't know 9 No answer
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
09 Summary Statistics:
Valid
19861
; Min.
1
; Max.
8
Variable Format:
numeric |
V73:
Q21b Pictures of the ideal shape of a woman
|
|---|
Location:
Width:
1
| Question:
Q.21 Which of the following pictures come closest to your conception of an ideal shape of a man and a woman? (Please tick the box below the picture of your choice of the ideal man) Q.21b Woman 0 Not available: AR, AU, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY 1 Picture 1 (very corpulent) 2 Picture 2 (corpulent) 3 Picture 3 (slender) 4 Picture 4 (very slender) 8 SK: Don't know 9 No answer
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
09 Summary Statistics:
Valid
19920
; Min.
1
; Max.
8
Variable Format:
numeric |
SEX:
R: Sex
|
|---|
Location:
Width:
1
| Question:
Sex of Respondent AR: Mark sex of the interviewee. AU: Are you male or female? CL: This is a question filled directly by the interviewer, i.e., not asked to respondents. CH CZ DO FI GB HU LV US ZA: Interviewer observation instead of asking question to respondents. DE: Face-to-face interview (ALLBUS); coded by interviewer. FR: Are you a man or a woman? MX: Sex of interviewee. To write without asking. NO: Item non-response replaced by data from the Central Register of Persons. PL: Question completed by interviewer, not asked. SE: Question not asked, derived from National Register. 1 Male 2 Female 9 No answer, refused
Range of Valid Data Values:
1-
2 Range of Invalid Data Values:
9 Summary Statistics:
Valid
49693
; Min.
1
; Max.
2
Variable Format:
numeric |
AGE:
R: Age
|
|---|
Location:
Width:
2
| Question:
Age of Respondent AR: First, a question was asked about the last birthday person, among those between 25 and 65 years old, while others were asked about the last birthday person among those 18-24 or 66+. In each 'sample point' 6 persons were interviewed, five 25-65 years old, and one 18-24 or 66 or more years old. After this question 1, question 1a followed: Do you remember how old is this person? 1b. And the date of that birthday? AU CZ HR HU PL SI TW US: What year were you born? Age is constructed from date of birth. IL LV PH: Please write down your exact actual age. CL FR UY: How old are you? DE: Please tell me what month and year you were born; in order to calculate age, the month of interview was used (as reported by interviewer). DO: How many years you fulfilled yourself in your last birthday? FI: Age is calculated by year of birth. GB IE: What was your age last birthday? KR: How old is the (person) of the household list? MX: How old are you? Completed years. NO: When were you born? Write in the year of birth. The item non-response was replaced by data from the Central Register of Persons. NZ JP: Please indicate the year in which you were born. SE: The sample is taken from national register including only those between 17 to 79 years of age (upper age cut). ZA: Age derived from contact sheet. 15 15 years 98 98 years 99 No answer, refused
Range of Valid Data Values:
15-
98 Range of Invalid Data Values:
99 Summary Statistics:
Valid
49586
; Min.
15
; Max.
98
Variable Format:
numeric |
MARITAL:
R: Marital status
|
|---|
Location:
Width:
1
| Question:
Marital status AR: About your marital status, are you..? AU TW ZA: What is your current marital status? FI US: Are you currently--married, widowed, divorced, separated, or have you never been married? CZ DE HU LV PL SI: What is your marital status? CH: Now, let's talk about your family. Do you have a spouse/ partner? Do you currently live with your husband (wife)/your partner? Here is a card with possible family situations. Can you please tell me which letter corresponds best to your actual situation? HR IE JP NO UY: What is your current legal marital status? KR: Is [PERSON] now married, widowed, divorced, separated, cohabiting, or never married? MX: Marital status (legal). NZ: Which of these categories best describes your current marital status? SE: Are you married, living together, or single? 1 Married 2 Widowed 3 Divorced 4 Separated (married but sep./not living w legal spouse) 5 Never married 6 AR: Living as a couple 9 No answer, refused in Chile (CL): 3 Divorced and annulled in Great Britain (GB): 1 Married and civil partnership in Hungary (HU): 0 Not available in Sweden (SE): 1 Married and living together as married in Switzerland (CH): 6 Registered partnership (PACS) Note: CL: Up to 2004 there was no law regulating divorce in Chile. The legal way to end up a marriage was thru a process of annulment (that’s the reason for code 3 'Annulled' AND 'Divorced' in this question).
Range of Valid Data Values:
0-
6 Range of Invalid Data Values:
9 Summary Statistics:
Valid
48493
; Min.
0
; Max.
6
Variable Format:
numeric |
COHAB:
R: Steady life-partner
|
|---|
Location:
Width:
1
| Question:
Steady life-partner AR MX: At present, are you living as a couple? AT: Do you live together with a constant male or female partner? AU CL NZ SI ZA: Do you now live together with a partner? CH LV: (If not married (widowed, divorced, separated, single)) Do you live together with a partner? CZ: (If not married) Do you live together with a steady partner? DE: (If not married) Do you have a steady partner? (A steady partner also means a partner one does not live with.) FI: Are you at the moment cohabiting with a spouse or steady partner? FR: (If your are not married) Do you live maritally today? HR: Do you live together (in the same household) with partner? Ask only respondents who do not live together with married (legal) partner (code 2-9 in preceding question) IE NO UY: (If not married) Are you currently living with a partner? IL: Do you live with a permanent partner without marriage? JP: Are you currently living with any person of the opposite gender? KR: Is [PERSON] now married, widowed, divorced, separated, cohabiting, or never married? PH: Do you have a live-in partner at present or not? SE: See MARITAL for further information. US: Which of these applies to you? Two questions were used to create COHAB. 0 NAP (married and living with legal spouse, Code 1 in MARITAL) 1 Yes 2 No 9 No answer, refused in Hungary (HU): 0 Not available
Range of Valid Data Values:
1-
2 Range of Invalid Data Values:
09 Summary Statistics:
Valid
22058
; Min.
1
; Max.
2
Variable Format:
numeric |
EDUCYRS:
R: Education I: years of schooling
|
|---|
Location:
Width:
2
| Question:
Education I - Years of schooling AU: All up, how many years of education have you completed? (Please include all Primary and Secondary School, and studies you have undertaken after High School, if your study was part-time, give the number of years of equivalent full-time study). What is the highest level of High School education you have completed? CH: How many years of schooling (including training and further education; only if full-time) did you achieve since the first primary year and without counting possible years of apprenticeship? (Category 'Still at College, University' is constructed from another variable) CL: Without taking into account grade repetitions, how many approved years of study do you have? CZ: Years of (full-time) schooling including University, but not vocational training. Can you please count how many in total you have attended school? Include also years of Primary School. Include only completed schools, do not include external study or evening schools. DO: How many years in school have you spent until this day? Are you in school or engaged in some sort of studies? How many years do you have in University? FI: How many years have you gone to school or studied altogether (including possible University studies, but excluding work placement)? FR: Derived from 'How old were you when you finished your studies?' by subtracting 6 years. GB: Derived from 'How old were you when you completed your continuous full-time education?' by subtracting 5 years (school starting age). HR: How many years did your regular schooling last? IE: How many years of full-time education did you receive? If respondent did not return to full-time education as an adult calculate as (age when left fulltime education minus 5). JP: How many years of education did you receive from the time you entered elementary school to the time you graduated or left your final place of education excluding higher vocational schools? Please indicate the last school you attended or the school you are currently attending. LV: In total, how many years have you attended school (school, vocational school, University, but not including improvement of professional skills or vocational courses)? KR: Derived from: 'What is the highest level of school you have attended?', 'In what grade did you drop out?', 'What grade are you?'. NO: How many years of education have you completed, other than compulsory school? 'Compulsory school' means the 9-year primary and lower secondary compulsory school, or the 7-year primary compulsory school. NZ: The values for this variable were calculated from the variable asking for the amount of formal education. The responses almost certainly include some vocational training, and do not distinguish between those who are still at University/ Polytechnic and those who are not. The exact number of years was not asked, but estimated. PH: How many years have you attended formal schooling, not including vocational training? PL: Derived from PL_DEGR: 'What is the level of education that you have obtained until now?' and 'Are you currently in school or studying?' RU: How many years altogether did you study, vocational training included? SE: How many years have you attended school, all full-time education included? SI: How many years in regular formal schooling? TW: Derived from: 'Your education level is?' 'Was your school completed?' US: What is the highest grade in elementary school or high school that you finished and got credit for? Did you ever get a high school diploma? Did you ever complete one or more years of college? How many years did you complete? Do you have any college degree? What degree? UY: How many years of education have you completed? Please do not count years in which you had repeated courses. ZA: Not explicitely asked. Derived from 'What is the highest level of education you have ever completed?' 95 Still at school 96 Still at college, university 97 No formal schooling 98 Don't know 99 No answer, refused in Hungary (HU): 0 Not available
Range of Valid Data Values:
1-
97 Range of Invalid Data Values:
09899 Summary Statistics:
Valid
47660
; Min.
1
; Max.
97
Variable Format:
numeric |
DEGREE:
R: Education II-highest education level
|
|---|
Location:
Width:
1
| Question:
Education II: Categories AU: What is the level of High School education you have completed? What is the highest level you have completed since leaving school? CH: What is your highest education completed? CL: Without taking into account grade repetitions, what is your educational level? CZ: What is your highest achieved level of education? DE: What general school leaving certificate do you have? Please request highest school certificate. What vocational or professional training do you have? Question on vocational training only asked if respondent not still at school. DO: Can you tell me, which was the last level of studies you accomplished? FI: What is your education, and if you are married or cohabiting, the education of your spouse? FR: Which level of general education have you achieved? GB: Have you passed any of the examinations on this card? And have you passed any of the exams or got any qualifications on this (other) card? Highest educational qualification. HR: Your highest educational level (school completed regularly or part-time)! HU IL: What is your highest qualification? IE: What is the highest level of education that you attained? JP: Please indicate the last school you attended or the school you are currently attending. KR: What is the highest level of school you have attended? NO: Which general education have you achieved? Which vocational education/ training have you achieved? Which tertiary education have you achieved? NZ: Which one of these categories best describes your highest level of education/formal qualification? PH: What is your highest educational attainment? PL: What is the level of education that you have obtained until now? RU: What education do you have? SE: What is your highest level of education until now? SI: Name last school you have finished, regularly or unregularly. TW: Derived from: 'Your educational level is?' and 'Was your school work completed?' US: What is the highest grade in elementary school or high school that you finished and got credit for? Did you ever get a high school diploma? Did you ever complete one or more years of college? How many years did you complete? Do you have any college degree? what degree? UY: What is the highest level of education you have achieved? Don't count years in which you had to repeat courses. ZA: What is highest level of education you have ever completed? 0 No formal qualification 1 Lowest formal qualification 2 Above lowest qualification 3 Higher secondary completed 4 Above higher secondary level 5 University degree completed 8 CH: Don´t know 9 No answer in Latvia (LV): 9 Not available
Range of Valid Data Values:
0-
5 Range of Invalid Data Values:
89 Summary Statistics:
Valid
49199
; Min.
0
; Max.
5
Variable Format:
numeric |
AR_DEGR:
Country specific education: Argentina
|
|---|
Location:
Width:
2
| Question:
AR_DEGR - Argentina: Country specific education What was the highest schooling level you had the possibility to reach? 0 NAP, other countries 1 None 2 Incomplete primary 3 Primary completed 4 Incomplete secondary 5 Secondary completed 6 University incomplete 7 University completed 8 Incomplete non-university higher 9 Completed non-university higher
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1657
; Min.
1
; Max.
9
Variable Format:
numeric |
AT_DEGR:
Country specific education: Austria
|
|---|
Location:
Width:
2
| Question:
AT_DEGR - Austria: Country specific education Which is the highest educational level you have finished? 0 NAP, other countries 1 Compulsory School completed without vocational training 2 Compulsory school and vocational training, apprenticeship completed 3 Vocational secondary school (e.g. commercial school) 4 General higher school, Matura 5 Vocational higher school (e.g. commercial higher school, technical higher school) 6 University, Academy (including college of higher education)
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1020
; Min.
1
; Max.
6
Variable Format:
numeric |
AU_DEGR:
Country specific education: Australia
|
|---|
Location:
Width:
2
| Question:
AU_DEGR - Australia: Country specific education What is the highest level of high school education you have completed? What is the highest level of education you have completed since leaving high school? 0 NAP, other countries 1 Did not complete High School to Year 10 2 Completed High School to Year 10 3 Completed High School to Year 12 4 Trade qualification or apprenticeship 5 Certificate or Diploma (TAFE or business college) 6 Bachelor Degree (including Honors) 7 Postgraduate Degree or Postgraduate Diploma 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2701
; Min.
1
; Max.
7
Variable Format:
numeric |
BG_DEGR:
Country specific education: Bulgaria
|
|---|
Location:
Width:
2
| Question:
BG_DEGR - Bulgaria: Country specific education Highest education level 0 NAP, other countries 1 None 2 Primary and basic education 3 Lower secondary 4 Upper secondary 5 Secondary technical 6 College, 2-4 years 7 Higher education 8 University and higher 9 Don't know
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
09 Summary Statistics:
Valid
999
; Min.
1
; Max.
8
Variable Format:
numeric |
CH_DEGR:
Country specific education: Switzerland
|
|---|
Location:
Width:
2
| Question:
CH_DEGR - Switzerland: Country specific education Which is the higher education level you finished? 0 NAP, other countries 1 Unfinished obligatory School 2 Primary School 3 Secondary School 4 Basic Vocational Education (1-2 years) 5 Apprenticeship. Voc. Colleges and Businesses 6 Specialised Middle Schools 7 Matura Schools 8 Vocational Training (second Training) 9 Professional Baccalaureate Schools/Adult Matura Schools 10 Higher Vocational Education and Training 11 Universities of Applied Sciences/Teacher Education 12 Universities, Federal Institutes of Technology 13 PhD Doctorate 95 Other education 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
996
; Min.
1
; Max.
13
Variable Format:
numeric |
CL_DEGR:
Country specific education: Chile
|
|---|
Location:
Width:
2
| Question:
CL_DEGR - Republic of Chile: Country specific education Without taking into account grade repetitions, what is your educational level? 0 NAP, other countries 1 None 2 Incomplete primary 3 Primary completed 4 Incomplete secondary 5 Secondary completed 6 University incomplete 7 University completed 8 Incomplete non-university higher 9 Completed non-university higher 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1486
; Min.
1
; Max.
9
Variable Format:
numeric |
CY_DEGR:
Country specific education: Cyprus
|
|---|
Location:
Width:
2
| Question:
CY_DEGR - Cyprus: Country specific education What is the highest level of education you completed? 0 NAP, other countries 1 No education 2 A few years of elementary school 3 Elementary School 4 Gymnasium and some years of lyceum 5 Lyceum 6 Professional higher education/higher in non-accredited degree 7 Higher education (college in accredited degree and university)
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1000
; Min.
1
; Max.
7
Variable Format:
numeric |
CZ_DEGR:
Country specific education: Czech Republic
|
|---|
Location:
Width:
2
| Question:
CZ_DEGR - Czech Republic: Country specific education What is your highest achieved level of education? 0 NAP, other countries 1 Incomplete primary 2 Primary completed 3 Lower vocational 4 General secondary, no diploma 5 Vocational, diploma 6 Technical secondary 7 Academic secondary 8 Post secondary 9 Tertiary, bachelor degree 10 Tertiary, master degree 11 Post-graduate education 97 Refused 98 Don't know 99 No answer Note: < Code 3-5: Diploma after school-leaving exam, required for university Education system in the Czech Republic http://www.uiv.cz/clanek/29/148 (link valid on July 1, 2009, source: www.uiv.cz)>
Range of Valid Data Values:
1-
11 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1211
; Min.
1
; Max.
11
Variable Format:
numeric |
DE_DEGR:
Country specific education: Germany
|
|---|
Location:
Width:
2
| Question:
DE_DEGR - Germany: Country specific education What general school leaving certificate do you have? What vocational or professional training do you have? Which of the categories on the card apply to you? 0 NAP, other countries 1 Still at school 2 School left without certificate 3 Lower secondary, Hauptschule 4 Middle school, mittlere Reife 5 Secondary, technical 6 Higher secondary, Abitur 7 Special university, Fachhochschule 8 University 9 Other qualification 99 No answer Note: < DE: Question on vocational training only asked if respondent not still at school; 'General school leaving certificate' and 'vocational training' taken from ALLBUS 2008>
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
099 Summary Statistics:
Valid
1713
; Min.
1
; Max.
9
Variable Format:
numeric |
DO_DEGR:
Country specific education: Dominican Republic
|
|---|
Location:
Width:
2
| Question:
DO_DEGR - Dominican Republic: Country specific education Can you tell me, which was the last level of studies you accomplished? 0 NAP, other countries 1 No Formal Schooling 2 Incomplete Primary School 3 Primary school completed 4 Incomplete High School 5 High School Completed 6 Technical training incomplete 7 Technical training completed 8 University Incomplete 9 University Completed 10 Master, Doctorate degree incomplete 11 Master, Doctorate degree completed 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
11 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2164
; Min.
1
; Max.
11
Variable Format:
numeric |
FI_DEGR:
Country specific education: Finland
|
|---|
Location:
Width:
2
| Question:
FI_DEGR - Finland: Country specific education What is your education, and if you are married or cohabiting, the education of your spouse? Please circle only one number in each column. 0 NAP, other countries 1 Still at school (primary or secondary, vocational school/course/institute) 2 Primary school 3 Comprehensive, primary and lower secondary 4 Post-comprehensive, vocational school or course 5 Post-comprehensive, general upper secondary education or certificate 6 Post-comprehensive, vocational post-secondary non-tertiary education 7 Polytechnics 8 University, lower academic degree (BA) 9 University, higher academic degree (MA) 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1319
; Min.
1
; Max.
9
Variable Format:
numeric |
FLA_DEGR:
Country specific education: Flanders
|
|---|
Location:
Width:
2
| Question:
FLA_DEGR - Flanders: Country specific education At this moment you are still in school. What kind of education do you follow? You can use card 7 to answer. Card 9 shows a number of diplomas and attestations. You can read through the card. What is the highest degree you ompleted? 0 NAP, other countries 1 None 2 Primary education 3 Lower general secondary 4 Lower technical secondary 5 Lower secondary vocational 6 Lower special secondary 7 Higher general secondary 8 Higher technical secondary 9 Higher vocational secondary 10 Higher special secondary 11 Non-university, higher, short 12 Non-university, higher, long 13 University 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
13 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1257
; Min.
1
; Max.
13
Variable Format:
numeric |
FR_DEGR:
Country specific education: France
|
|---|
Location:
Width:
2
| Question:
FR_DEGR - France: Country specific education What is your education level? 0 NAP, other countries 1 None 2 Primary incomplete 3 Primary completed 4 General secondary, level 1 5 Vocational secondary, level 1 6 Vocational secondary, level 2 7 Incomplete general secondary. level 2 8 General secondary, level 2 9 College 10 University 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2046
; Min.
1
; Max.
10
Variable Format:
numeric |
GB_DEGR:
Country specific education: Britain
|
|---|
Location:
Width:
2
| Question:
GB_DEGR - Great Britain: Country specific education Respondent’s highest educational qualification derived from: Have you passed any of the examinations on this card? (If yes) Please tell me which sections of the card they are in. And have you passed any of the exams or got any of the qualifications on this card? 0 NAP, other countries 1 No secondary qualifications 2 CSE, GCSE or equivalent 3 O-level or equivalent 4 A-level or equivalent 5 Higher below degree level 6 Degree, university or CNAA or diploma 7 Foreign or other 99 No answer
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
099 Summary Statistics:
Valid
825
; Min.
1
; Max.
7
Variable Format:
numeric |
HR_DEGR:
Country specific education: Croatia
|
|---|
Location:
Width:
2
| Question:
HR_DEGR - Croatia: Country specific education Your highest educational level (school completed regulary or part time). 0 NAP, other countries 1 Did not complete elementary school 2 Elementary school, completed. 3 Completed three years vocational school (school for industrial and craft qualifications) 4 Completed 4 years vocational school (vocational qualifications in economy, medicine and technical professions; school of Art) 5 Completed General secondary school (Gymnasium) 6 Post secondary degree, completed; professional studies, college 7 University degree, completed; university studies 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1199
; Min.
1
; Max.
7
Variable Format:
numeric |
HU_DEGR:
Country specific education: Hungary
|
|---|
Location:
Width:
2
| Question:
HU_DEGR - Hungary: Country specific education What is your highest qualification? 0 NAP, other countries 1 Less than primary 2 8 years elementary 3 Vocational 4 Vocational with maturity 5 Gymnasium with maturity 6 Secondary technical after maturity 7 Higher technical after maturity 8 College 9 University 99 No answer
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
099 Summary Statistics:
Valid
1025
; Min.
1
; Max.
9
Variable Format:
numeric |
IE_DEGR:
Country specific education: Ireland
|
|---|
Location:
Width:
2
| Question:
IE_DEGR - Ireland: Country specific education What is the highest level of education that you attained? 0 NAP, other countries 1 None 2 Incomplete primary education 3 Primary completed, compulsory 4 Some second level 5 Completed first cycle 6 Secondary completed 7 Incomplete third level 8 Certificate or Diploma 9 University first degree 10 University higher degree 99 No answer
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
099 Summary Statistics:
Valid
2040
; Min.
1
; Max.
10
Variable Format:
numeric |
IL_DEGR:
Country specific education: Israel
|
|---|
Location:
Width:
2
| Question:
IL_DEGR - Israel: Country specific education Highest education level 0 NAP, other countries 1 No formal schooling 2 Lowest formal qualification 3 Incomplete vocational 4 Vocational completed without matriculation 5 Vocational completed with matriculation 6 Incomplete academic secondary 7 Full general without matriculation 8 Academic secondary completed 9 Yeshiva without matriculation 10 Yeshiva with matriculation 11 Semi higher, post secondary 12 Incomplete university 13 University completed, BA or more 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
13 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1324
; Min.
1
; Max.
13
Variable Format:
numeric |
JP_DEGR:
Country specific education: Japan
|
|---|
Location:
Width:
2
| Question:
JP_DEGR - Japan: Country specific education Please indicate the last school you attended or the school you are currently attending. 0 NAP, other countries 1 Junior High school completed 2 High school completed 3 Junior college completed 4 Finished university 5 Still at High school 6 Still at Junior college 7 Others 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1233
; Min.
1
; Max.
7
Variable Format:
numeric |
KR_DEGR:
Country specific education: South Korea
|
|---|
Location:
Width:
2
| Question:
KR_DEGR - South Korea: Country specific education What is the highest level of school you have attended? Did you graduate from this school, or are you currently attending? 0 NAP, other countries 1 No formal schooling; Seodang, Hanhak: old style non-formal education 2 Elementary incompleted 3 Elementary completed 4 Middle school, junior high school incomplete 5 Middle school, junior high school completed 6 High school incomplete 7 High school completed 8 Junior college incomplete, 2-3 years 9 Junior college completed, 2-3 years 10 University incomplete, 4 years course 11 University completed, 4 years course 12 Masters degree incomplete, Graduate school 13 Masters degree completed 14 Doctoral degree incomplete 15 Doctoral degree completed 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
15 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1429
; Min.
1
; Max.
15
Variable Format:
numeric |
LV_DEGR:
Country specific education: Latvia
|
|---|
Location:
Width:
2
| Question:
LV_DEGR - Latvia: Country specific education Your education: 0 NAP, other countries 1 Incomplete basic education, less than 8 forms 2 Basic education completed 3 Incomplete secondary, professional education not including secondary 4 Secondary completed 5 Vocational with secondary qualification 6 Incomplete university, incomplete higher education (at least 2 completed years) 7 University completed, Higher education, bachelor, master or doctor degree 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1069
; Min.
1
; Max.
7
Variable Format:
numeric |
MX_DEGR:
Country specific education: Mexico
|
|---|
Location:
Width:
2
| Question:
MX_DEGR - Mexico: Country specific education Higher school level obtained (finished level). 0 NAP, other countries 1 None, still at school 2 Primary school completed 3 Technical training without secondary qualification 4 Secondary school completed 5 Technical training after secondary qualification 6 High school completed 7 Technical training after high school qualification 8 University completed 9 Master, doctorate degree 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1500
; Min.
1
; Max.
9
Variable Format:
numeric |
NO_DEGR:
Country specific education: Norway
|
|---|
Location:
Width:
2
| Question:
NO_DEGR - Norway: Country specific education Which general education have you achieved? Which vocational education/ training have you achieved? Which tertiary education have you achieved? 0 NAP, other countries 1 Primary completed 2 Secondary, vocational, incomplete 3 Secondary, academic, incomplete 4 Secondary, vocational, complete 5 Secondary, academic, complete 6 University, college less than 1 year 7 University, college 1-2 years 8 University, college 3-4 years 9 University, college 5 years and more 97 Refused 98 Don't know 99 No answer Note: The Norwegian word for 'vocational training' might be interpreted in a broader sense, like education or training preparing for a particular occupation in general, for example nurses
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1134
; Min.
1
; Max.
9
Variable Format:
numeric |
NZ_DEGR:
Country specific education: New Zealand
|
|---|
Location:
Width:
2
| Question:
NZ_DEGR - New Zealand: Country specific education Which of these categories best describes your highest formal qualification? 0 NAP, other countries 1 No formal qualification 2 School qualification only 3 Trade or professional certificate 4 Diploma below Bachelor 5 Bachelor degree 99 No answer
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
974
; Min.
1
; Max.
5
Variable Format:
numeric |
PH_DEGR:
Country specific education: Philippines
|
|---|
Location:
Width:
2
| Question:
PH_DEGR - Philippines: Country specific education What is your highest educational attainment? 0 NAP, other countries 1 No formal education 2 Incomplete primary 3 Primary completed 4 Incomplete secondary 5 Secondary completed 6 Some Vocational 7 Completed Vocational 8 Some College 9 Completed College 10 Post college 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1200
; Min.
1
; Max.
10
Variable Format:
numeric |
PL_DEGR:
Country specific education: Poland
|
|---|
Location:
Width:
2
| Question:
PL_DEGR - Poland: Country specific education What is the level of education that you have obtained until now? 0 NAP, other countries 1 No formal schooling 2 Incomplete elementary 3 Elementary 4 Basic vocational 5 Incomplete secondary 6 Secondary general 7 Secondary vocational 8 Post secondary 9 Incomplete higher 10 Completed higher at master level, semi-higher 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1293
; Min.
1
; Max.
10
Variable Format:
numeric |
RU_DEGR:
Country specific education: Russia
|
|---|
Location:
Width:
2
| Question:
RU_DEGR - Russia: Country specific education 0 NAP, other countries 1 Primary or less 2 Middle school incomplete 3 Trade school on a basis of middle school incomplete 4 Middle school complete 5 Trade school on a basis of middle school complete 6 Technical (secondary) school 7 High school incomplete 8 High school complete 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2005
; Min.
1
; Max.
8
Variable Format:
numeric |
SE_DEGR:
Country specific education: Sweden
|
|---|
Location:
Width:
2
| Question:
SE_DEGR - Sweden: Country specific education What is your highest level of education at present? Please indicate one alternative only. 0 NAP, other countries 1 Primary or comprehensive school 2 Vocational school (1972-92) 3 Vocational school (post 1992) 4 Vocational school (pre 1972) 5 Alternative secondary school 6 Lower secondary school 7 3 or 4 year gymnasium (academic track pre 1995) 8 Social- or natural-science program in Gymnasium (academic track post 1992) 9 Higher secondary school 10 University studies without degree 11 University degree 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
11 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1274
; Min.
1
; Max.
11
Variable Format:
numeric |
SI_DEGR:
Country specific education: Slovenia
|
|---|
Location:
Width:
2
| Question:
SI_DEGR - Slovenia: Country specific education Name last school that you have finished, regularly or unregularly. 0 NAP, other countries 1 Incomplete primary 2 Primary completed 3 Incomplete vocational or secondary school 4 Finished 2-3 years vocational school 5 Finished 4 years secondary school 6 Incomplete university or college 7 Finished 2 years college 8 University completed or academy 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
988
; Min.
1
; Max.
8
Variable Format:
numeric |
SK_DEGR:
Country specific education: Slovak Republic
|
|---|
Location:
Width:
2
| Question:
SK_DEGR - Slovak Republic: Country specific education What is your highest achieved education level? 0 NAP, other countries 1 Incomplete elementary school 2 Completed elementary school 3 Completed elementary school with vocational training or courses (without the certificate of apprenticeship) 4 Vocational training with the certificate of apprenticeship (without maturity level certificate) 5 Vocational school or trade school (without maturity level certificate) 6 Completed apprenticeship training institution with the maturity certificate 7 Completed vocational upper secondary education (i.e. technical schools, medical/nursery school) 8 Completed general upper secondary education (Grammar school) 9 Follow-up, post-maturity education 10 University, College education - Bachelor degree 11 University, College - completed Master or engineering study programme (or its equivalent) 12 Postgraduate (third) level of higher education study (CSc., PhD., Doc., etc.) 99 No answer Note: 'Achieved' means to have a certificate/ degree
Range of Valid Data Values:
1-
12 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1137
; Min.
1
; Max.
12
Variable Format:
numeric |
TW_DEGR:
Country specific education: Taiwan
|
|---|
Location:
Width:
2
| Question:
TW_DEGR - Taiwan: Country specific education What is your highest education level? 0 NAP, other countries 1 None 2 Self-study 3 Elementary school 4 Junior high school 5 Vocational junior high school 6 Senior high school general 7 Senior high school vocational subject 8 Vocational senior high school 9 Cadet school, senior high level 10 5 years junior college, after junior high 11 2 years junior college after vocational 12 3 years junior college, after high general 13 Military, police junior college, 1 year 14 Military, police college, 2 years 15 Open junior college 16 Open college 17 Military, police college 18 Institute of technology (after vocational high school) 19 College graduate, university 20 Master degree, Graduate school 21 Doctorate degree, PhD degree, Graduate schol 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
21 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2147
; Min.
1
; Max.
21
Variable Format:
numeric |
US_DEGR:
Country specific education: USA
|
|---|
Location:
Width:
2
| Question:
US_DEGR - United States: Country specific education What is the highest grade in Elementary School or High School that you finished and got credit for? Did you ever get a High School Diploma or a GED Certificate? Did you ever complete one or more years of College for credit - not including schooling such as Business College, Technical or Vocational School? How many years did you complete? Do you have any College Degrees? What Degree or Degrees? 0 NAP, other countries 1 Less than High school 2 High school 3 Junior college 4 Bachelor degree 5 Graduate school 98 Don't know
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1535
; Min.
1
; Max.
5
Variable Format:
numeric |
UY_DEGR:
Country specific education: Uruguay
|
|---|
Location:
Width:
2
| Question:
UY_DEGR - Uruguay: Country specific education What is the highest level of education you have achieved? Do not count years in which you had to repeat courses. 0 NAP, other countries 1 None 2 Incomplete primary school 3 Completed primary school 4 Incomplete secondary 5 Completed secondary 6 Incomplete technical education 7 Completed technical education 8 Incomplete university 9 Completed university 10 Incomplete non university high education 11 Completed non university high education 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
11 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1437
; Min.
1
; Max.
11
Variable Format:
numeric |
ZA_DEGR:
Country specific education: South Africa
|
|---|
Location:
Width:
2
| Question:
ZA_DEGR - South Africa: Country specific education What is the highest level of education you have ever completed? 0 NAP, other countries 1 No schooling, Grade 0 or Grade R 2 Sub A or Grade 1 3 Sub B or Grade 2 4 Grade 3 or Standard 1 5 Grade 4 or Standard 2 6 Grade 5 or Standard 3 7 Grade 6 or Standard 4 8 Grade 7 or Standard 5 9 Grade 8 or Standard 6 or Form 1 10 Grade 9 or Standard 7 or Form 2 11 Grade 10 or Standard 8 or Form 3 12 Grade 11 or Standard 9 or Form 4 13 Grade 12 or Standard 10 or Form 5 or Matricualtion 17 Diploma or certificate with less than Grade 12 or Standard 10 18 Diploma or certificate with Grade 12 or Standard 10 19 Degree 20 Postgraduate degree or diploma 21 Other 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
21 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2896
; Min.
1
; Max.
21
Variable Format:
numeric |
WRKST:
R: Current employment status
|
|---|
Location:
Width:
2
| Question:
Respondent: Current employment status - current economic position, main source of living AR: Last week you were ...? AT: Are you presently ...? AU: Information from the two questions 'In your main job for which you are paid, do you normally work...?' 'Which of the following best describes what you were doing last week?' CH: Are you currently working full time or part time or are you not working for pay? For what reason aren't you working actually? CL: Please choose one of the following alternatives, depending whether you are working or not working. CY: Current employment status. CZ: What is your current economic status, your main source of living? DO: Of the following situations which one adjusts more to you present labor situation? FI: Which of the following alternatives best describes your current situation, and if you are married or cohabiting, the current situation of your spouse? FR: What is your current occupation or your current economic position? GB: Construction of: Which of these descriptions applied to what you are doing last week, that is seven days ending last Sunday? In your present job, are you working full-time or part time? In the 7 days ending last Sunday did you have any paid work of less than 10 hours a week? IE NZ: Which of the following best describes your present situation with regard to employment? KR: Information derived and integrated from various questions. NO: Are you/ have you ever been in paid work? If yes, in your main job you are/were:? Do you regard yourself mainly as:? PL: What is your current job situation? (Multiple choice question - respondent can work, and at the same time be retired). SE: Which of the following groups do you belong to? SK: Have you currently got an income from any working activity? TW: Are you currently employed? US: Last week were you working full time, part time, going to school, keeping house, or what? UY: Choose one of the following options, based on whether you work or not. 1 Employed-full time 2 Employed-part time 3 Employed less than part time 4 Helping family member 5 Unemployed 6 Student, school, vocational training 7 Retired 8 Housewife,-man, home duties 9 Permanently disabled 10 Other, not in labour force 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
49263
; Min.
1
; Max.
10
Variable Format:
numeric |
WRKHRS:
R: Hours worked weekly
|
|---|
Location:
Width:
2
| Question:
Hours worked weekly AR: About how many hours a week do (did) you work in your main job? AT: How many hours per week including overtime do you/did you generally work in your main profession? AU: How many hours do you usually work each week in all jobs, including regular overtime? CH CL IE: Generally, how many hours do you work in a week? CY MX: How many hours do you usually work per week? CZ: How many hours a week do you work on average in your main job and in other paid activities including overtime work? (Round up to entire hours) DE: How many hours per week do you normally work in your main job, including overtime? DO: How many hours a day do you work in a normal week (Monday through Friday, Saturday and Sunday)? FI FR TW: (If currently working) How many hours do you normally work in an average week? GB: (Current job: ask all in paid work 10 hours and more) How many hours do you normally work a week in your main job, incl. paid or unpaid overtime? Round to nearest hour; if respondent does not know exactly, accept an estimate. HR: How many working hours do you usually have in one working week? Please count every paid work - work for which you receive salary or honorarium! NO: How many hours a week do/did you usually work? Include paid overtime as well as work hours at home in main job. NZ SE: How many hours, on average, do you usually work in a normal week? KR LV PH: (If currently working) About how many hours a week do you usually work? PL UY: How many hours, in average do you/did you work in a week? RU: How many hours do you usually work? SI: How many hours per week do you usually work? Count every work that you get paid for or get any compensation. SK: How many hours a week including over time do you work on average in any paid job? US: How many hours did you work last week, how many hours a week do you usually work, at all jobs? ZA: If currently working, how many hours do you normally work per week? 0 Not applicable; not available 96 96 hours and more 97 Refused 98 Can't say, don't know, varies too much 99 No answer
Range of Valid Data Values:
1-
96 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
27812
; Min.
1
; Max.
96
Variable Format:
numeric |
ISCO88:
R: Occupation ILO,ISCO 1988 4-digit
|
|---|
Location:
Width:
4
| Question:
Respondent's Occupation: ILO/ISCO - International Code 1988 AT: Which professional activity are you carrying out in your main job or did you carry out last? AU: What kind of work do/did you do in your main job? Coded according to the Australian Bureau of Statistic's Australian and New Zealand Standard Classification of Occupations ANZSCO, First edition, 2006 (to the 4 digit level). CH: What is your actual occupation? Did you ever have a paid job? Which one was the last one? The answers of the questions were recoded manually into ISCO88. CL: What is your main activity? What are some of your main duties? It refers to your principal activity. If you are not working now, please think in your most recent job. CZ: What is/was your occupation or working status in your main job? What work do/did you do? Czech national occupation codes recoded into ISCO88. DE: What work do/ did you do in your main/ last job? FI: What is your current or latest occupation or the occupation you are currently studying for? ISCO88 is constructed from variable by the fielwork institute. FR: If you are working, what is your current occupation? If you do not work but if you have already worked, what was your last occupation? Current and previous French Classification of the Occupations (INSEE) and the socioprofessional categories (PCS 1994) are used (3-digit) and mapped to ISCO 1988. GB: Now I want to ask you about your present/last/future job. What kind of work (do/did/will) you do most of the time? What training or qualifications (are/were) needed for that job? (manually derived from the open answers to the 3 questions above). ISCO88 (COM) is derived from the British Standard Occupational Classification RSOC200 using the attached translation table. HR: Please state the exact name of your job title and occupation. Describe what do you do, what are your main tasks. What are the educational and professional requirements for your job? ISCO88-codes were coded directly from the responses. HU: What is (was) your (last) occupation? Based on the 4-digit Hungarian Classification FEOR, converted into ISCO88 by a standard recode programme. IE: What is/was your occupation? ILO Occupation Codes based on ISCO88-COM. JP: Please give details about the current main type of work you are engaged in. LV: What is your occupation? If R has no current job (retired, unemployed etc.), indicate most recent occupation. Indicate also sector and position where R works. KR: What kind of work do you normally do? What do you actually do in that job? If currently not working, tell me about your last job. MX: Which is your current occupation (or last work)? Detailed as much as possible. NO: What is/was your work title. Please make a short description of your tasks. Norwegian Standard Classification Codes of Occupations (STYRK) based on ISCO88-COM are recoded into ISCO88/ILO according to a correspondence syntax. NZ: What is your main occupation? PH: ILO/ISCO88 (3-digit) is matched to ISCO88 (4-digit). The answers are coded based on the verbatim responses. These verbatim codes are recoded to corresponding ISCO88 codes. PL: What kind of work do you/ did you normally do? SE: What is your occupation? What kind of production/activity is performed at your current or last workplace? Both of the above questions are used to classify responses into the Swedish Standardized Classification of Occupations (SSYK). SSYK is thereafter recoded into ISCO88-COM. SI: What kind of work or occupation do you do? If not working at the moment: what was your last (main) occupation before loosing your job or becoming retired? SK: Please, write the name of your main occupation. Include detailed description of your working activity: what is your principal activity, responsibility etc.If you are not in labour force (retired or unemployed) at the moment, think of your most recent job. If you are self employed or entrepreneur, please, specify the area of your business. TW: What is your main occupation (at present, or prior to retirement or unemployment)? US: What kind of work do/did you normally do? What do/did you actually do in that job? 1980 Census Occupational Codes (OCC) in GSS were initially created and then recoded into ISCO88. UY: What kind of work do/did you do in the job where you get your highest income? ZA: What is your current occupation? (last occupation for those who are unemployed) Using ISCO88 but only the major occupation group (1 digit classification). 0 NAP, never had a job, not in labour force, not in paid work; not available 100 ARMED FORCES 110 Soldiers 112 Officers 1000 LEGISLATORS, SENIOR OFFICIALS AND MANAGERS 1100 LEGISLATORS AND SENIOR OFFICIALS 1110 LEGISLATORS 1120 SENIOR GOVERNMENT OFFICIALS 1130 TRADITIONAL CHIEFS AND HEADS OF VILLAGES 1140 SENIOR OFFICIALS OF SPECIAL-INTEREST ORGANISATIONS 1141 Senior officials of political-party organisations 1142 Senior officials of employers, workers and other economic-interest organisations 1143 Senior officials of humanitarian and other special-interest organisations 1200 CORPORATE MANAGERS (This group is intended to include persons who - as directors, chief executives or department manager 1210 DIRECTORS AND CHIEF EXECUTIVES 1220 PRODUCTION AND OPERATIONS DEPARTMENT MANAGERS 1221 Production and operations department managers in agriculture, hunting, forestry and fishing 1222 Production and operations department managers in manufacturing 1223 Production and operations department managers in construction 1224 Production and operations department managers in wholesale and retail trade 1225 Production and operations department managers in restaurants and hotels 1226 Production and operations department managers in transport, storage and communications 1227 Production and operations department managers in business services 1228 Production and operations department managers in personal care, cleaning and related services 1229 Production and operations department managers not elsewhere classified 1230 OTHER DEPARTMENT MANAGERS 1231 Finance and administration department managers 1232 Personnel and industrial relations department managers 1233 Sales and marketing department managers 1234 Advertising and public relations department managers 1235 Supply and distribution department managers 1236 Computing services department managers 1237 Research and development department managers 1238 Other department managers nec 1239 Other department managers not elsewhere classified 1250 Military officer 1300 GENERAL MANAGERS (This group is intended to include persons who manage enterprises, or in some cases organisations, on t 1310 GENERAL MANAGERS 1311 General managers in agriculture, hunting, forestry/ and fishing 1312 General managers in manufacturing 1313 General managers in construction 1314 General managers in wholesale and retail trade 1315 General managers of restaurants and hotels 1316 General managers in transport, storage and communications 1317 General managers of business services 1318 General managers in personal care, cleaning and related services 1319 General managers not elsewhere classified 2000 PROFESSIONALS 2100 PHYSICAL, MATHEMATICAL AND ENGINEERING SCIENCE PROFESSIONALS 2110 PHYSICISTS, CHEMISTS AND RELATED PROFESSIONALS 2111 Physicists and astronomers 2112 Meteorologists 2113 Chemists 2114 Geologists and geophysicists 2120 MATHEMATICIANS, STATISTICIANS AND RELATED PROFESSIONALS 2121 Mathematicians and related professionals 2122 Statisticians 2130 COMPUTING PROFESSIONALS 2131 Computer systems designers and analysts 2132 Computer programmers 2139 Computing professionals not elsewhere classified 2140 ARCHITECTS, ENGINEERS AND RELATED PROFESSIONALS 2141 Architects, town and traffic planners 2142 Civil engineers 2143 Electrical engineers 2144 Electronics and telecommunications engineers 2145 Mechanical engineers 2146 Chemical engineers 2147 Mining engineers, metallurgists and related professionals 2148 Cartographers and surveyors 2149 Architects, engineers and related professionals not elsewhere classified 2200 LIFE SCIENCE AND HEALTH PROFESSIONALS 2210 LIFE SCIENCE PROFESSIONALS 2211 Biologists, botanists, zoologists and related professionals 2212 Pharmacologists, pathologists and related professionals 2213 Agronomists and related professionals 2220 HEALTH PROFESSIONALS (except nursing) 2221 Medical doctors 2222 Dentists 2223 Veterinarians 2224 Pharmacists 2229 Health professionals (except nursing) not elsewhere classified 2230 NURSING AND MIDWIFERY PROFESSIONALS 2300 TEACHING PROFESSIONALS 2310 COLLEGE, UNIVERSITY AND HIGHER EDUCATION TEACHING PROFESSIONALS 2320 SECONDARY EDUCATION TEACHING PROFESSIONALS 2330 PRIMARY AND PRE-PRIMARY EDUCATION TEACHING PROFESSIONALS 2331 Primary education teaching professionals 2332 Pre-primary education teaching professionals 2340 SPECIAL EDUCATION TEACHING PROFESSIONALS 2350 OTHER TEACHING PROFESSIONALS 2351 Education methods specialists 2352 School inspectors 2359 Other teaching professionals not elsewhere classified 2400 OTHER PROFESSIONALS 2410 BUSINESS PROFESSIONALS 2411 Accountants 2412 Personnel and careers professionals 2419 Business professionals not elsewhere classified 2420 LEGAL PROFESSIONALS 2421 Lawyers 2422 Judges 2429 Legal professionals not elsewhere classified 2430 ARCHIVISTS, LIBRARIANS AND RELATED INFORMATION PROFESSIONALS 2431 Archivists and curators 2432 Librarians and related information professionals 2440 SOCIAL SCIENCE AND RELATED PROFESSIONALS 2441 Economists 2442 Sociologists, anthropologists and related professionals 2443 Philosophers, historians and political scientists 2444 Philologists, translators and interpreters 2445 Psychologists 2446 Social work professionals 2450 WRITERS AND CREATIVE OR PERFORMING ARTISTS 2451 Authors, journalists and other writers 2452 Sculptors, painters and related artists 2453 Composers, musicians and singers 2454 Choreographers and dancers 2455 Film, stage and related actors and directors 2460 RELIGIOUS PROFESSIONALS 2470 Public service administrative prof 3000 TECHNICIANS AND ASSOCIATE PROFESSIONALS 3100 PHYSICAL AND ENGINEERING SCIENCE ASSOCIATE PROFESSIONALS 3110 PHYSICAL AND ENGINEERING SCIENCE TECHNICIANS 3111 Chemical and physical science technicians 3112 Civil engineering technicians 3113 Electrical engineering technicians 3114 Electronics and telecommunications engineering technicians 3115 Mechanical engineering technicians 3116 Chemical engineering technicians 3117 Mining and metallurgical technicians 3118 Draughtspersons 3119 Physical and engineering science technicians not elsewhere classified 3120 COMPUTER ASSOCIATE PROFESSIONALS 3121 Computer assistants 3122 Computer equipment operators 3123 Industrial robot controllers 3130 OPTICAL AND ELECTRONIC EQUIPMENT OPERATORS 3131 Photographers and image and sound recording equipment operators 3132 Broadcasting and telecommunications equipment operators 3133 Medical equipment operators 3139 Optical and electronic equipment operators not elsewhere classified 3140 SHIP AND AIRCRAFT CONTROLLERS AND TECHNICIANS 3141 Ships´ engineers 3142 Ships´ deck officers and pilots 3143 Aircraft pilots and related associate professionals 3144 Air traffic controllers 3145 Air traffic safety technicians 3150 SAFETY AND QUALITY INSPECTORS 3151 Building and fire inspectors 3152 Safety, health and quality inspectors 3200 LIFE SCIENCE AND HEALTH ASSOCIATE PROFESSIONALS 3210 LIFE SCIENCE TECHNICIANS AND RELATED ASSOCIATE PROFESSIONALS 3211 Life science technicians 3212 Agronomy and forestry technicians 3213 Farming and forestry advisers 3220 MODERN HEALTH ASSOCIATE PROFESSIONALS (except nursing) 3221 Medical assistants 3222 Sanitarians 3223 Dieticians and nutritionists 3224 Optometrists and opticians 3225 Dental assistants 3226 Physiotherapists and related associate professionals 3227 Veterinary assistants 3228 Pharmaceutical assistants 3229 Modern health associate professionals (except nursing) not elsewhere classified 3230 NURSING AND MIDWIFERY ASSOCIATE PROFESSIONALS 3231 Nursing associate professionals 3232 Midwifery associate professionals 3240 TRADITIONAL MEDICINE PRACTITIONERS AND FAITH HEALERS 3241 Traditional medicine practitioners 3242 Faith healers 3300 TEACHING ASSOCIATE PROFESSIONALS 3310 PRIMARY EDUCATION TEACHING ASSOCIATE PROFESSIONALS 3320 PRE-PRIMARY EDUCATION TEACHING ASSOCIATE PROFESSIONALS 3330 SPECIAL EDUCATION TEACHING ASSOCIATE PROFESSIONALS 3340 OTHER TEACHING ASSOCIATE PROFESSIONALS 3400 OTHER ASSOCIATE PROFESSIONALS 3410 FINANCE AND SALES ASSOCIATE PROFESSIONALS 3411 Securities and finance dealers and brokers 3412 Insurance representatives 3413 Estate agents 3414 Travel consultants and organisers 3415 Technical and commercial sales representatives 3416 Buyers 3417 Appraisers, valuers and auctioneers 3419 Finance and sales associate professionals not elsewhere classified 3420 BUSINESS SERVICES AGENTS AND TRADE BROKERS 3421 Trade brokers 3422 Clearing and forwarding agents 3423 Employment agents and labour contractors 3429 Business services agents and trade brokers not elsewhere classified 3430 ADMINISTRATIVE ASSOCIATE PROFESSIONALS 3431 Administrative secretaries and related associate professionals 3432 Legal and related business associate professionals 3433 Bookkeepers 3434 Statistical, mathematical and related associate professionals 3439 Administrative associate professionals not elsewhere classified 3440 CUSTOMS, TAX AND RELATED GOVERNMENT ASSOCIATE PROFESSIONALS 3441 Customs and border inspectors 3442 Government tax and excise officials 3443 Government social benefits officials 3444 Government licensing officials 3449 Customs, tax and related government associate professionals not elsewhere classified 3450 POLICE INSPECTORS AND DETECTIVES 3460 SOCIAL WORK ASSOCIATE PROFESSIONALS 3470 ARTISTIC, ENTERTAINMENT AND SPORTS ASSOCIATE PROFESSIONALS 3471 Decorators and commercial designers 3472 Radio, television and other announcers 3473 Street, night-club and related musicians, singers and dancers 3474 Clowns, magicians, acrobats and related associate professionals 3475 Athletes, sportspersons and related associate professionals 3480 RELIGIOUS ASSOCIATE PROFESSIONALS 3491 Informationworker+journalist 4000 CLERKS 4100 OFFICE CLERKS 4110 SECRETARIES AND KEYBOARD-OPERATING CLERKS 4111 Stenographers and typists 4112 Word-processor and related operators 4113 Data entry operators 4114 Calculating-machine operators 4115 Secretaries 4116 Clerical officer 4120 NUMERICAL CLERKS 4121 Accounting and bookkeeping clerks 4122 Statistical and finance clerks 4130 MATERIAL-RECORDING AND TRANSPORT CLERKS 4131 Stock clerks 4132 Production clerks 4133 Transport clerks 4140 LIBRARY, MAIL AND RELATED CLERKS 4141 Library and filing clerks 4142 Mail carriers and sorting clerks 4143 Coding, proof-reading and related clerks 4144 Scribes and related workers 4190 OTHER OFFICE CLERKS 4200 CUSTOMER SERVICES CLERKS 4210 CASHIERS, TELLERS AND RELATED CLERKS 4211 Cashiers and ticket clerks 4212 Tellers and other counter clerks 4213 Bookmakers and croupiers 4214 Pawnbrokers and money-lenders 4215 Debt-collectors and related workers 4220 CLIENT INFORMATION CLERKS 4221 Travel agency and related clerks 4222 Receptionists and information clerks 4223 Telephone switchboard operators 4400 Post office,higher civil service 4500 Railway official,higher civil service 5000 SERVICE WORKERS AND SHOP AND MARKET SALES WORKERS 5100 PERSONAL AND PROTECTIVE SERVICES WORKERS 5110 TRAVEL ATTENDANTS AND RELATED WORKERS 5111 Travel attendants and travel stewards 5112 Transport conductors 5113 Travel guides 5120 HOUSEKEEPING AND RESTAURANT SERVICES WORKERS 5121 Housekeepers and related workers 5122 Cooks 5123 Waiters, waitresses and bartenders 5130 PERSONAL CARE AND RELATED WORKERS 5131 Child-care workers 5132 Institution-based personal care workers 5133 Home-based personal care workers 5135 Medical secretaries 5136 Childminders etc 5139 Personal care and related workers not elsewhere classified 5140 OTHER PERSONAL SERVICES WORKERS 5141 Hairdressers, barbers, beauticians and related workers 5142 Companions and valets 5143 Undertakers and embalmers 5149 Other personal services workers not elsewhere classified 5150 ASTROLOGERS, FORTUNE-TELLERS AND RELATED WORKERS 5151 Astrologers and related workers 5152 Fortune-tellers, palmists and related workers 5160 PROTECTIVE SERVICES WORKERS 5161 Fire-fighters 5162 Police officers 5163 Prison guards 5169 Protective services workers not elsewhere classified 5200 MODELS, SALESPERSONS AND DEMONSTRATORS 5210 FASHION AND OTHER MODELS 5220 SHOP SALESPERSONS AND DEMONSTRATORS 5230 STALL AND MARKET SALESPERSONS 6000 SKILLED AGRICULTURAL AND FISHERY WORKERS 6100 MARKET-ORIENTED SKILLED AGRICULTURAL AND FISHERY WORKERS 6110 MARKET GARDENERS AND CROP GROWERS 6111 Field crop and vegetable growers 6112 Tree and shrub crop growers 6113 Gardeners, horticultural and nursery growers 6114 Mixed-crop growers 6120 MARKET-ORIENTED ANIMAL PRODUCERS AND RELATED WORKERS 6121 Dairy and livestock producers 6122 Poultry producers 6123 Apiarists and sericulturists 6124 Mixed-animal producers 6129 Market-oriented animal producers and related workers not elsewhere classified 6130 MARKET-ORIENTED CROP AND ANIMAL PRODUCERS 6140 FORESTRY AND RELATED WORKERS 6141 Forestry workers and loggers 6142 Charcoal burners and related workers 6150 FISHERY WORKERS, HUNTERS AND TRAPPERS 6151 Aquatic-life cultivation workers 6152 Inland and coastal waters fishery workers 6153 Deep-sea fishery workers 6154 Hunters and trappers 6200 SUBSISTENCE AGRICULTURAL AND FISHERY WORKERS 6210 SUBSISTENCE AGRICULTURAL AND FISHERY WORKERS 7000 CRAFT AND RELATED TRADES WORKERS 7100 EXTRACTION AND BUILDING TRADES WORKERS 7110 MINERS, SHOTFIRERS, STONE CUTTERS AND CARVERS 7111 Miners and quarry workers 7112 Shotfirers and blasters 7113 Stone splitters, cutters and carvers 7120 BUILDING FRAME AND RELATED TRADES WORKERS 7121 Builders, traditional materials 7122 Bricklayers and stonemasons 7123 Concrete placers, concrete finishers and related workers 7124 Carpenters and joiners 7125 Joiner, formwork 7127 Foundation workers 7128 Tunnel+mountain workers 7129 Building frame and related trades workers not elsewhere classified 7130 BUILDING FINISHERS AND RELATED TRADES WORKERS 7131 Roofers 7132 Floor layers and tile setters 7133 Plasterers 7134 Insulation workers 7135 Glaziers 7136 Plumbers and pipe fitters 7137 Building and related electricians 7139 Building finishers+rel.trade workers 7140 PAINTERS, BUILDING STRUCTURE CLEANERS AND RELATED TRADES WORKERS 7141 Painters and related workers 7142 Varnishers and related painters 7143 Building structure cleaners 7144 Chimney sweepers 7200 METAL, MACHINERY AND RELATED TRADES WORKERS 7210 METAL MOULDERS, WELDERS, SHEET-METAL WORKERS, STRUCTURAL- METAL PREPARERS, AND RELATED TRADES WORKERS 7211 Metal moulders and coremakers 7212 Welders and flamecutters 7213 Sheet metal workers 7214 Structural-metal preparers and erectors 7215 Riggers and cable splicers 7216 Underwater workers 7217 Car+airstructure mechanics 7220 BLACKSMITHS, TOOL-MAKERS AND RELATED TRADES WORKERS 7221 Blacksmiths, hammer-smiths and forging-press workers 7222 Tool-makers and related workers 7223 Machine-tool setters and setter-operators 7224 Metal wheel-grinders, polishers and tool sharpeners 7230 MACHINERY MECHANICS AND FITTERS 7231 Motor vehicle mechanics and fitters 7232 Aircraft engine mechanics and fitters 7233 Agricultural- or industrial-machinery mechanics and fitters 7240 ELECTRICAL AND ELECTRONIC EQUIPMENT MECHANICS AND FITTERS 7241 Electrical mechanics and fitters 7242 Electronics fitters 7243 Electronics mechanics and servicers 7244 Telegraph and telephone installers and servicers 7245 Electrical line installers, repairers and cable jointers 7300 PRECISION, HANDICRAFT, PRINTING AND RELATED TRADES WORKERS 7310 PRECISION WORKERS IN METAL AND RELATED MATERIALS 7311 Precision-instrument makers and repairers 7312 Musical instrument makers and tuners 7313 Jewellery and precious-metal workers 7320 POTTERS, GLASS-MAKERS AND RELATED TRADES WORKERS 7321 Abrasive wheel formers, potters and related workers 7322 Glass makers, cutters, grinders and finishers 7323 Glass engravers and etchers 7324 Glass, ceramics and related decorative painters 7330 HANDICRAFT WORKERS IN WOOD,TEXTILE, LEATHER AND RELATED MATERIALS 7331 Handicraft workers in wood and related materials 7332 Handicraft workers in textile, leather and related materials 7340 PRINTING AND RELATED TRADES WORKERS 7341 Compositors, typesetters and related workers 7342 Stereotypers and electrotypers 7343 Printing engravers and etchers 7344 Photographic and related workers 7345 Bookbinders and related workers 7346 Silk-screen, block and textile printers 7350 Technical drawers 7400 OTHER CRAFT AND RELATED TRADES WORKERS 7410 FOOD PROCESSING AND RELATED TRADES WORKERS 7411 Butchers, fishmongers and related food preparers 7412 Bakers, pastry-cooks and confectionery makers 7413 Dairy-products makers 7414 Fruit, vegetable and related preservers 7415 Food and beverage tasters and graders 7416 Tobacco preparers and tobacco products makers 7420 WOOD TREATERS, CABINET-MAKERS AND RELATED TRADES WORKERS 7421 Wood treaters 7422 Cabinet makers and related workers 7423 Woodworking machine setters and setter-operators 7424 Basketry weavers, brush makers and related workers 7430 TEXTILE, GARMENT AND RELATED TRADES WORKERS 7431 Fibre preparers 7432 Weavers, knitters and related workers 7433 Tailors, dressmakers and hatters 7434 Furriers and related workers 7435 Textile, leather and related pattern-makers and cutters 7436 Sewers, embroiderers and related workers 7437 Upholsterers and related workers 7440 PELT, LEATHER AND SHOEMAKING TRADES WORKERS 7441 Pelt dressers, tanners and fellmongers 7442 Shoe-makers and related workers 7520 Electronics engineers nec 8000 PLANT AND MACHINE OPERATORS AND ASSEMBLERS 8100 STATIONARY-PLANT AND RELATED OPERATORS 8110 MINING- AND MINERAL-PROCESSING-PLANT OPERATORS 8111 Mining-plant operators 8112 Mineral-ore- and stone-processing-plant operators 8113 Well drillers and borers and related workers 8120 METAL-PROCESSING-PLANT OPERATORS 8121 Ore and metal furnace operators 8122 Metal melters, casters and rolling-mill operators 8123 Metal-heat-treating-plant operators 8124 Metal drawers and extruders 8130 GLASS, CERAMICS AND RELATED PLANT OPERATORS 8131 Glass and ceramics kiln and related machine operators 8139 Glass, ceramics and related plant operators not elsewhere classified 8140 WOOD-PROCESSING- AND PAPERMAKING-PLANT OPERATORS 8141 Wood-processing-plant operators 8142 Paper-pulp plant operators 8143 Papermaking-plant operators 8150 CHEMICAL-PROCESSING-PLANT OPERATORS 8151 Crushing-, grinding- and chemical-mixing-machinery operators 8152 Chemical-heat-treating-plant operators 8153 Chemical-filtering- and separating-equipment operators 8154 Chemical-still and reactor operators (except petroleum and natural gas) 8155 Petroleum- and natural-gas-refining-plant operators 8159 Chemical-processing-plant operators not elsewhere classified 8160 POWER-PRODUCTION AND RELATED PLANT OPERATORS 8161 Power-production plant operators 8162 Steam-engine and boiler operators 8163 Incinerator, water-treatment and related plant operators 8170 AUTOMATED-ASSEMBLY-LINE AND INDUSTRIAL-ROBOT OPERATORS 8171 Automated-assembly-line operators 8172 Industrial-robot operators 8200 MACHINE OPERATORS AND ASSEMBLERS 8210 METAL- AND MINERAL-PRODUCTS MACHINE OPERATORS 8211 Machine-tool operators 8212 Cement and other mineral products machine operators 8220 CHEMICAL-PRODUCTS MACHINE OPERATORS 8221 Pharmaceutical- and toiletry-products machine operators 8222 Ammunition- and explosive-products machine operators 8223 Metal finishing-, plating- and coating-machine operators 8224 Photographic-products machine operators 8229 Chemical-products machine operators not elsewhere classified 8230 RUBBER- AND PLASTIC-PRODUCTS MACHINE OPERATORS 8231 Rubber-products machine operators 8232 Plastic-products machine operators 8240 WOOD-PRODUCTS MACHINE OPERATORS 8250 PRINTING-, BINDING- AND PAPER-PRODUCTS MACHINE OPERATORS 8251 Printing-machine operators 8252 Bookbinding-machine operators 8253 Paper-products machine operators 8260 TEXTILE-, FUR- AND LEATHER-PRODUCTS MACHINE OPERATORS 8261 Fibre-preparing-, spinning- and winding-machine operators 8262 Weaving- and knitting-machine operators 8263 Sewing-machine operators 8264 Bleaching-, dyeing- and cleaning-machine operators 8265 Fur and leather-preparing-machine operators 8266 Shoemaking- and related machine operators 8269 Textile-, fur- and leather-products machine operators not elsewhere classified 8270 FOOD AND RELATED PRODUCTS MACHINE OPERATORS 8271 Meat- and fish-processing-machine operators 8272 Dairy-products machine operators 8273 Grain- and spice-milling-machine operators 8274 Baked-goods, cereal and chocolate-products machine operators 8275 Fruit-, vegetable- and nut-processing-machine operators 8276 Sugar production machine operators 8277 Tea-, coffee-, and cocoa-processing-machine operators 8278 Brewers, wine and other beverage machine operators 8279 Tobacco production machine operators 8280 ASSEMBLERS 8281 Mechanical-machinery assemblers 8282 Electrical-equipment assemblers 8283 Electronic-equipment assemblers 8284 Metal-, rubber- and plastic-products assemblers 8285 Wood and related products assemblers 8286 Paperboard, textile and related products assemblers 8287 Composite products assemblers 8290 OTHER MACHINE OPERATORS AND ASSEMBLERS 8300 DRIVERS AND MOBILE-PLANT OPERATORS 8310 LOCOMOTIVE-ENGINE DRIVERS AND RELATED WORKERS 8311 Locomotive-engine drivers 8312 Railway brakers, signallers and shunters 8320 MOTOR-VEHICLE DRIVERS 8321 Motor-cycle drivers 8322 Car, taxi and van drivers 8323 Bus and tram drivers 8324 Heavy-truck and lorry drivers 8330 AGRICULTURAL AND OTHER MOBILE-PLANT OPERATORS 8331 Motorised farm and forestry plant operators 8332 Earth-moving- and related plant operators 8333 Crane, hoist and related plant operators 8334 Lifting-truck operators 8340 SHIPS´ DECK CREWS AND RELATED WORKERS 8342 Engine crew, ship 9000 ELEMENTARY OCCUPATIONS 9100 SALES AND SERVICES ELEMENTARY OCCUPATIONS 9110 STREET VENDORS AND RELATED WORKERS 9111 Street food vendors 9112 Street vendors, non-food products 9113 Door-to-door and telephone salespersons 9120 SHOE CLEANING AND OTHER STREET SERVICES ELEMENTARY OCCUPATIONS 9130 DOMESTIC AND RELATED HELPERS, CLEANERS AND LAUNDERERS 9131 Domestic helpers and cleaners 9132 Helpers and cleaners in offices, hotels and other establishments 9133 Hand-launderers and pressers 9140 BUILDING CARETAKERS, WINDOW AND RELATED CLEANERS 9141 Building caretakers 9142 Vehicle, window and related cleaners 9150 MESSENGERS, PORTERS, DOORKEEPERS AND RELATED WORKERS 9151 Messengers, package and luggage porters and deliverers 9152 Doorkeepers, watchpersons and related workers 9153 Vending-machine money collectors, meter readers and related workers 9160 GARBAGE COLLECTORS AND RELATED LABOURERS 9161 Garbage collectors 9162 Sweepers and related labourers 9200 AGRICULTURAL, FISHERY AND RELATED LABOURERS 9210 AGRICULTURAL, FISHERY AND RELATED LABOURERS 9211 Farm-hands and labourers 9212 Forestry labourers 9213 Fishery, hunting and trapping labourers 9300 LABOURERS IN MINING, CONSTRUCTION, MANUFACTURING AND TRANSPORT 9310 MINING AND CONSTRUCTION LABOURERS 9311 Mining and quarrying labourers 9312 Construction and maintenance labourers: roads, dams and similar constructions 9313 Building construction labourers 9320 MANUFACTURING LABOURERS 9321 Assembling labourers 9322 Hand packers and other manufacturing labourers 9330 TRANSPORT LABOURERS AND FREIGHT HANDLERS 9331 Hand or pedal vehicle drivers 9332 Drivers of animal-drawn vehicles and machinery 9333 Freight handlers 9996 Not classifiable;inadeq described 9997 Refused 9998 Dont know 9999 NA in Croatia (HR): 4300 Office helping workers in Czech Republic (CZ): 7500 Metal worker general in Dominican Republic (DO): 7500 Metal worker general in Germany (DE): 7510 Metal worker nec 7900 Master craftsmen,supervisor in Hungary (HU): 7510 Metal worker nec in New Zealand (NZ): 7510 Metal worker nec in Philippines (PH): 4300 Office helping workers 7900 Master craftsmen,supervisor in South Korea (KR): 4300 Office helping workers
Range of Valid Data Values:
100-
9333 Range of Invalid Data Values:
9996-
99990 Summary Statistics:
Valid
40789
; Min.
100
; Max.
9333
Variable Format:
numeric |
WRKTYPE:
R: Workg f priv.,pub sector, selfempl.
|
|---|
Location:
Width:
1
| Question:
Private versus public sector or self-employed: (If R is employee in current/previous job) Do you work at present or did you work in your last job in the private or public sector? AR: It is (was) a job in...? AT: Where do you work now / where have you worked last? AU: Who do (or did) you work for in your main job? CL: Please choose one of the following alternatives, regarding whether you work in the public or private sector. CY: Public or private sector CZ: Two original variables were used: 'Do you work (in your last job did you work) in' and 'Current economic status'. DE: Constructed from 'Current and former occupational status', 'Employment status' and 'Employment in public sector'. DO: Are you a public or private employee? FI: Is/was your employer the state, a municipality, a state-owned enterprise or a private enterprise? HR: Where do you work? IE CH: Do/did you work in the public or private sector or are/were you self-employed? GB: (If R is/was employee in current/previous job) Which of the types of organisation on this card do you/will you be working/did you work for? IL: Work for private, public sector, self employed? KR: Are/were you employed by the government, a publicly owned firm, a private firm, or a non-profit organisation? LV SI: Do you work in public or private sector? For not working respondents, please tell about your recent occupation. MX: Type of institution where you work (or last worked). NO: Is the firm/organisation you work/worked for:? NZ: Which of these categories best describes who you work for (or who you worked for most recently)? PH: Where do you work? PL: What is/was the form of ownership of this place of work? SE: Do/did you mainly work in the private or in the public services? Are/were you self-employed or an employee? SK: Do you currently work in: (if you are not employed at the moment, where did you work in your last job?) TW: Are/were you a boss or an employee? Do/did you work for a public or private section? US: Are/were you employed by the federal state, or local government or by a private employer (including non-profit organizations)? Are/were you self employed or do/did you work for someone else? UY: Please choose one of the following options, depending on if you work/worked in the public or private sector. ZA: Who is your employer for this work? 0 Not applicable, never had a job, not in labour force; not available 1 Work for government 2 Public owned firm, nationalized industry 3 Private firm, others 4 Self employed 9 No answer, don't know
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
09 Summary Statistics:
Valid
40460
; Min.
1
; Max.
6
Variable Format:
numeric |
NEMPLOY:
R: Self-employed - number of employees
|
|---|
Location:
Width:
4
| Question:
Do you have any employees, if so, how many? (exact number of employees) AR: Counting yourself, how many people work (use to work) in a steady way in the firm or activity? AU: If you are (or were) self-employed, please tell us how many staff you employ (or did employ). BG: Do you have any employees? If so, how many? CH: How many employees do/did your organisation employ, including yourself? CL: How many employees are in your firm? CY: How many employees do/did you have? CZ NZ PH US: (If self-employed in current/last job) In your work or business, do/did you have any employees? If yes: How many employees do/did you have? DO FI: Do/did you have any employees? How many? FR: If you are self-employed, how many employees are working for you? GB: Note that family members may be employees only if they receive a regular wage or salary. IE: How many regular paid employees are there in the branch or outlet of the business or organisation you work in? JP: How many employees are there in your company, including yourself? KR SI: How many employees do you employ? LV: Do/did you have any employees in your enterprise, how many? MX: Working you self employed, do you have any employees? How many? NO: If you are/were self employed with employees, how many employees do/did you have? PL: How many people work in this firm, except you? If this is a multidivisional enterprise, please give the number of workers in the division you work/worked in. SE: If self-employed with employees. How many? SK: Do you have any employees? If yes, how many? (If you do not run your own business at the moment, think of your last business). TW ZA: How many employees do you have working for you? UY: As self-employed, do you hire any employee? Write the exact number of employees, excluding the respondent. 0 Not applicable; not available 9995 No employees 9997 Refused 9998 Don't know 9999 No answer
Range of Valid Data Values:
1-
3083 Range of Invalid Data Values:
9995-
99990 Summary Statistics:
Valid
2855
; Min.
1
; Max.
3083
Variable Format:
numeric |
WRKSUP:
R: Supervises others at work
|
|---|
Location:
Width:
1
| Question:
Do you supervise others at work? AR: How many people do (did) you directly supervise, including unpaid workers? AT: Is it (was it) part of your work, to instruct members of staff or to supervise their work? BG CY: Do you supervise the work of any other people? CH NO PH UY: Do/did you supervise other workers or are/were you responsible for the work of others? CL: In your work, do you supervise others or are responsible for other people’s work? CZ: Do/did you have any subordinates in your main job? DE: Do your professional duties include supervising the work of other employees or telling them what they have to do? DO: In your job do you supervise other people’s work? FI: In your main job, do you supervise anyone or are you directly responsible for the work of other people? FR: Do you supervise the work of any other people? GB: In your job, do/did/will you have any formal responsibility for supervising the work of other employees/people? Do NOT include people who only supervise: children (e.g. teachers, nannies and childminders), animals and security or buildings (e.g. caretakers, security guards). HR: Are you held responsible for the work of others at your work or do you supervise the work of any other person at work? IE: Do you normally supervise any other workers in your job? JP: Do you hold any managerial position? KR: Do/did you have a subordinate at your workplace for whom you were directly responsible? MX: In the fulfilment of your current work the supervision of the work of some other person is included? (Or in their last work). PL: As an offical part of your main job, do/did you supervise the work of other employees/tell other employees what to do? SI: What is/was your position at work? SK: In your main job, do you have any subordinates? Are you responsible for the work of others? (If you are not employed at the moment, think of your last job.) US: Do you (or your spouse) supervise anyone at work who is directly responsible to you? ZA: Do you supervise the work of any other people? If not currently employed ask most recent job. 0 Not applicable, not available 1 Yes, supervises 2 No, do not supervise 7 Refused 8 Don't know 9 No answer
Range of Valid Data Values:
1-
2 Range of Invalid Data Values:
7-
90 Summary Statistics:
Valid
37663
; Min.
1
; Max.
2
Variable Format:
numeric |
UNION:
R: Trade union membership
|
|---|
Location:
Width:
1
| Question:
Trade (labour) union membership: Are you currently member (or were you) of a trade union? AT: Are you member of a trade union or have you been a member before? AU CY: Do you belong to a union? CL: Are you or were you part of a trade union? CH DE IE KR LV NZ NO SE TW: Are you/have you ever been a member of a trade union or a similar organisation? CZ: Are you or were you in the past a member of any of these organisations? a) Trade unions. GB: Are you now a member of a trade union or staff association? If answered no/don't know: Have you ever been a member of a trade union or staff association? HR SI: Are you a member of trade union (or were you in the past)? MX: At the present are you affiliated to a union? PH: Are you a labor union member or not? PL: Do you (currently) belong to a trade union? SK: Are you a member of a union? US: Do you (or your spouse) belong to a labour union? UY: Are you member or were you a member of a Labour Union? ZA: Are you a paid up member of a Trade Union? 0 Not applivable, not available 1 Currently member 2 Once member, not now 3 Never member 8 Don't know 9 No answer, refused
Range of Valid Data Values:
1-
3 Range of Invalid Data Values:
089 Summary Statistics:
Valid
39801
; Min.
1
; Max.
3
Variable Format:
numeric |
SPWRKST:
S-P: Current employment status
|
|---|
Location:
Width:
2
| Question:
Spouse/ partner: Current employment status What is the current economic status, main source of living of your spouse/partner? AR: Does your spouse actually has a paid job? What kind of work does (did) he/she do in his/her main job? What kind of business, activity, or service is (was) that ? AU: Which of the following best describes what your partner was doing last week? BG CY: Spouse-partner: current employment status. CH: Is your partner currently working full or part time or is he/she not working for pay? CL: Thinking about your spouse or partner, please choose one of the following alternatives, depending whether you are working or not working. DE: Derived from 'Partner's current employment status' and 'Partner's occupational status'. JP: Is your spouse in continuous, gainful employment? KR: Information derived and integrated from various questions. LV: Now about the main source of living of spouse/ permanent partner: Is he/she now ...? MX: Which is the current situation of employment of your partner? NO: What is your spouse/partners main activity, or source of income? NZ: Which one of these following categories best describes your partner’s or spouse’s current employment status? PL: What is your wife/husband’s current job situation? SE: Which of the following groups do your husband/wife/live-in partner belong to? If he/she is on parental- or sickness-leave, please indicate whether he/she worked full-time or part-time before the parental- or sickness-leave. SI: What is his/her current employment status, is he/she employed or something else? SK: Does your spouse/partner currently have an income from any working activity? TW: Is your spouse (or partner) currently employed? US: Last week was your spouse working full time, part time, going to school, keeping house, or what? UY: Thinking about your wife/husband or partner, please choose one of the following options, based on whether he/she works or not. ZA: If you are married or have a partner, what is his/her employment status? 0 Not applicable, not married, no partner; not available 1 Full-time employed, main job 2 Part-time employed, main job 3 Less part-time employed 4 Helping family member 5 Unemployed 6 Student, school, education 7 Retired 8 Housewife,-man, home duties 9 Permanently disabled 10 Other, not in labour force 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
29873
; Min.
1
; Max.
10
Variable Format:
numeric |
SPISCO88:
S-P: Occupation ILO,ISCO 1988 4-digit
|
|---|
Location:
Width:
4
| Question:
Spouse Occupation: ILO/ISCO - International Code 1988 AR: What kind of work does your spouse do (did) in this job? What are (were) his/her main duties? AU: What kind of work does/did your partner do in the main job? Coded according to the Australian Bureau of Statistic's Australian and New Zealand Standard Classification of Occupations ANZSCO, First edition, 2006 (to the 4 digit level). BG CY: Spouse-partner, occupation ISCO 1988 4-digit. CH: Which profession your partner does/did practice? The answers of the questions were recoded manually into ISCO88. CZ: What is/was the occupation of your spouse/partner in her/his main job? What job does/did she/he do? FR: Current and previous French Classifications of the Occupations (INSEE) and the socioprofessionnel categories (PCS 1994) are used and mapped to ILO/ISCO 1988. GB: SPISCO88 is derived from the Standard Occupational Classification 2000 (SOC) using the translation table to ISCO88-COM. HU: What is (was) her/his (last) occupation? Based on the 4-digit Hungarian Classification FEOR, converted into ISCO88 by a standard recode programme. KR: What kind of work does your spouse normally do? What does (he/she) actually do in that job? If currently not working, tell me about (his/her) last job. MX: Which is your partner's current occupation (or last work)? NO: (If living with partner and partner in paid work) What is/was your partner's work title. Please make a short description of the tasks. Norwegian Standard Classifications of Occupation Codes (STYRK) based on ISCO88-COM are recoded into ILO/ISCO88 according to a correpondence syntax. PH: Present or last job: ILO/ISCO88 (3-digit) is matched to ISCO88 (4-digit). SE: What is your husband’s/ wife’s/ live-in partner’s occupation? If he/she is retired or not working at the moment, please indicate what his/her occupation was in his/her last job. See ISCO88 for information on coding procedures. SI: What kind of work or occupation does your partner do? If not working at the moment: what was his/her last (main) occupation? SK: Please, write the name of the main occupation of your spouse/partner. Include detailed description of his/her working activity: what is his/her principal activity, responsibility etc. If your spouse/partner is not in labour force at the moment (is retired or unemployed etc), think of his/her most recent job. US: What kind of work does/did your spouse normally do? What does/did your spouse actually do in that job? ILO/ISCO 1988 based on the 1980 Census Occupational Codes. UY: What kind of work does/did your spouse/ partner do in the job where he/she gets/got his/her highest income? ZA: Current main job and last occupation for those who are unemployed - ILO/ISCO 1988 major occupation groups (1 digit classification). 0 Not applicable, no partner, never had a job; not in paid work; not available 100 Armed forces 110 Armed forces 112 Officers 1000 Legislators, senior officials and managers 1100 Legislators and senior officials 1110 Legislators 1120 Senior government official 1130 Traditional chiefs and heads of villages 1140 Senior officials of special interest organisation 1141 Senior officials of political party organisations 1142 Senior officials of employers, workers and other economic-interest organisations 1143 Senior officials of humanitarian and other special-interest organisations 1200 Corporate managers 1210 Directors and chief executives 1220 Production and operations department managers 1221 Production and operations department managers in agriculture, hunting, forestry and fishing 1222 Productions and operations department managers in manufacturing 1223 Productions and operations department managers in construction 1224 Productions and operations department managers in retail trade 1225 Productions and operations department managers in restaurants and hotels 1226 Productions and operations department managers in transport storage and communications 1227 Productions and operations department managers in business services 1228 Productions and operations department managers in personal care, cleaning and related services 1229 Productions and operations department managers not elsewhere classified 1230 Other department managers 1231 Finance and administration department managers 1232 Personnel and industrial relations department managers 1233 Sales and marketing department managers 1234 Advertising and public relations department managers 1235 Supply and distribution department managers 1236 Computing services department managers 1237 Research and development department managers 1238 Other department managers nec 1239 Other department managers 1300 General managers 1310 General managers 1311 General managers in agriculture 1312 General managers in manufacture 1313 General managers in construction 1314 General managers in wholesale and retail trade 1315 General managers of restaurants and hotels 1316 General managers in transport, storage and communications 1317 General managers of business services 1318 General managers in personal care, cleaning and related services 1319 General managers not elsewhere classified 2000 Professionals 2100 Physical, mathematical and engineering science professionals 2110 Physicists, chemists and related professionals 2111 Physicists, and astronomers 2112 Meteorologists 2113 Chemists 2114 Geologists and geophysicists 2120 Mathematicians, statisticians and related professionals 2121 Mathematicians and related professionals 2122 Statisticians 2130 Computing professionals 2131 Computing systems designers and analysts 2132 Computer programmers 2139 Computing professionals not elsewhere classified 2140 Architects, engineers and related professionals 2141 Architects, town and traffic planners 2142 Civil engineers 2143 Electrical engineers 2144 Electronics and telecommunications engineers 2145 Mechanical engineers 2146 Chemical engineers 2147 Mining engineers, metallurgists and related professionals 2148 Cartographers and surveyors 2149 Architects, engineers and related professionals not elsewhere classified 2199 Other natural scientist 2200 Life science and health professionals 2210 Life science professionals 2211 Biologist, botanist, zoologist and related professionals 2212 Pharmacologists, pathologists and related professionals 2213 Agronomists and related professionals 2220 Health professionals 2221 Medical doctors 2222 Dentists 2223 Veterinarians 2224 Pharmacists 2229 Health professionals (except nursing) not elsewhere classified 2230 Nursing and midwifery professionals 2300 Teaching professionals 2310 College, university and higher education teacher 2320 Secondary education teacher 2330 Primary and pre-primary education teaching professionals 2331 Primary education teaching professionals 2332 Pre-primary education teaching professionals 2340 Special education teaching professionals 2350 Other teaching professionals 2351 Education methods specialists 2352 School inspectors 2359 Other teaching professionals not elsewhere classified 2400 Other professionals 2410 Business professionals 2411 Accountants 2412 Personnel and careers professionals 2419 Business professionals not elsewhere classified 2420 Legal professionals 2421 Lawyers 2422 Judges 2429 Legal professionals not elsewhere classified 2430 Archivists, librarians and related information professionals 2431 Archivists and curators 2432 Librarians and related information professionals 2440 Social science and related professionals 2441 Economists 2442 Sociologists, anthropologists and related professionals 2443 Philosophers, historians and political scientists 2444 Philologists, translators and interpreters 2445 Psychologists 2446 Social work professionals 2450 Writers and creative artists 2451 Authors, journalists and other writers 2452 Sculptors, painters and related artists 2453 Composers, musicians and singers 2454 Choreographers and dancers 2455 Film, stage and related actors and directors 2460 Religious professionals 2470 ISCO_COM: Public service administrative professionals 2500 Education professionals not elsewhere classified 3000 Technicians and associate professionals 3100 Physical and engineering science associate professionals 3110 Physical and engineering science technicians 3111 Chemical and physical science technicians 3112 Civil engineering technicians 3113 Electrical engineering technicians 3114 Electronics and telecommunication technicians 3115 Mechanical engineering technicians 3116 Chemical engineering technicians 3117 Mining and metallurgical technicians 3118 Draughtspersons 3119 Physical and engineering science technicians not elsewhere classified 3120 Computer associate professionals 3121 Computer assistants 3122 Computer equipment operators 3123 Industrial robot controllers 3130 Optical and electronic equipment operators 3131 Photographers and image and sound recording equipment operators 3132 Photographers and image and sound recording equipment operators 3133 Medical equipment operators 3139 Optical and electronic equipment operators not elsewhere classified 3140 Ship and aircraft controllers and technicians 3141 Ships engineers 3142 Ships deck officers and pilots 3143 Aircraft pilots and related associate professionals 3144 Air traffic pilots 3145 Air traffic safety technicians 3150 Safety and quality inspectors 3151 Building and fire inspectors 3152 Safety, health and quality inspectors 3200 Life science and health associate professionals 3210 Life science technicians and related associate professionals 3211 Life science technicians 3212 Agronomy and forestry technicians 3213 Farming and forestry advisers 3220 Modern health associate professionals (except nursing) 3221 Medical assistants 3222 Sanitarians 3223 Dieticians and nutritionists 3224 Optometrists and opticians 3225 Dental assistants 3226 Physiotherapists and related associate professionals 3227 Veterinary assistants 3228 Pharmaceutical assistants 3229 Modern health associate professionals (except nursing) not elsewhere classified 3230 Nursing and midwifery associate professionals 3231 Nursing associate professionals 3232 Midwifery associate professionals 3240 Traditional medicine practitioners and faith healers 3241 Traditional medicine practitioners 3242 Faith healers 3300 Teaching associate professionals 3310 Primary education teaching associate professionals 3320 Pre-primary education teaching associate professionals 3330 Special education teaching associate professionals 3340 Other teaching associate professionals 3400 Other associate professionals 3410 Finance and sales associate professionals 3411 Securities and finance dealers and brokers 3412 Insurance representatives 3413 Estate agents 3414 Travel consultants and organisers 3415 Technical and commercial sales representatives 3416 Buyers 3417 Appraisers, valuers and auctioneers 3419 Finance and sales associate professionals not elsewhere classified 3420 Business services agents and trade broker 3421 Trade brokers 3422 Clearing and forwarding agents 3423 Employment agents and labour contractors 3429 Other business services agents and trade brokers not elsewhere classified 3430 Administrative associate professionals 3431 Administrative secretaries and related associate professionals 3432 Legal and related business associate professionals 3433 Bookkeepers 3434 Statistical, mathematical and related associate professionals 3439 Administrative associate professionals not elsewhere classified 3440 Customs, tax and related government associate professionals 3441 Customs and border inspectors 3442 Government tax and excise officials 3443 Government social benefits officials 3444 Government licensing officials 3445 Public employment service worker 3449 Customs, tax and related government associate professionals not elsewhere classified 3450 Police inspectors and detectives 3460 Social work associate professionals 3470 Artistic, entertainment and sports associate professionals 3471 Decorators and commercial designers 3472 Radio, television and other announcers 3473 Street, night-club and related musicians, singers and dancers 3474 Clowns, magicians, acrobats and related associate professionals 3475 Athletes, sportspersons and related associate professionals 3480 Religious associate professionals 3491 Informationworkers and journalists 4000 Clerks, office worker 4100 Office clerks 4110 Secretaries and keyboard-operating clerks 4111 Stenographers and typists 4112 Word-processor and related operators 4113 Data entry operators 4114 Calculating machine operators 4115 Secretaries 4120 Numerical clerks 4121 Accounting and bookkeeping clerks 4122 Statistical and finance clerks 4130 Material-recording and transport clerks 4131 Stock clerks 4132 Production clerks 4133 Transport clerks 4140 Library, mail and related clerks 4141 Library and filing clerks 4142 Mail carriers and sorting clerks 4143 Coding, proof-reading and related clerks 4144 Scribes and related workers 4190 Other office clerks 4200 Customer services clerks 4210 Cashiers, tellers and related clerks 4211 Cashiers and ticket clerks 4212 Tellers and other counter clerks 4213 Bookmakers and croupiers 4214 Pawnbrokers and money-lenders 4215 Debt-collectors and related workers 4220 Client information clerks 4221 Travel agency and related clerks 4222 Receptionists and information clerks 4223 Telephone switchboard operators 4300 Office helping workers 4400 Post office, higher civil service 4500 Railway official, higher civil service 5000 Personal service, sale 5100 Personal and protective services workers 5110 Travel attendants and related workers 5111 Travel attendants and travel stewards 5112 Transport conductors 5113 Travel guides 5120 Housekeeping and restaurant services workers 5121 Housekeepers and related workers 5122 Cooks 5123 Waiters, waitresses and bartenders 5130 Personal care and related workers 5131 Child care workers 5132 Institution-based personal care workers 5133 Home-based personal care workers 5139 Personal care and related workers not elsewhere classified 5140 Other personal services workers 5141 Hairdressers, barbers, beauticians and related workers 5142 Companions and valets 5143 Undertakers and embalmers 5149 Other personal services workers not elsewhere classified 5150 Astrologers, fortune-tellers and related workers 5151 Astrologers and related workers 5152 Fortune-tellers, palmists and related workers 5160 Protective services workers 5161 Fire-fighters 5162 Police officers 5163 Prison guards 5169 Protective services workers not elsewhere classified 5200 Models, salespersons and demonstrators 5210 Fashion and other models 5220 Shop salespersons and demonstrators 5222 Door-to-door and telephone salesmen 5230 Stall and market salespersons 6000 Skilled agricultural and fishery workers 6100 Market-oriented skilled agricultural and fishery workers 6110 Market gardeners and crop growers 6111 Field crop and vegetable growers 6112 Tree and shrub crop growers 6113 Gardeners, horticultural and nursery growers 6114 Mixed-crop growers 6120 Market-oriented animal producers and related workers 6121 Dairy and livestock producers 6122 Poultry producers 6123 Apiarists and sericulturists 6124 Mixed animal producers 6129 Market-oriented animal producers and related workers not elsewhere classified 6130 Market-oriented crop animal producer 6140 Forestry and related worker 6141 Forestry workers and loggers 6142 Charcoal burners and related workers 6150 Fishery workers, hunters and trappers 6151 Aquatic-life cultivation workers 6152 Inland and coastal waters fishery workers 6153 Deep-sea fishery workers 6154 Hunters and trappers 6200 Subsistence agricultural and fishery workers 6210 Subsistence agricultural and fishery workers 7000 Craft and trade workers 7100 Extraction and building trades worker 7110 Miners, shot firers, stone cutters and carvers 7111 Miners and quarry workers 7112 Shot firers and blasters 7113 Stone splitters, cutters and carvers 7120 Building frame and related trades workers 7121 Builders, traditional materials 7122 Bricklayers and stonemasons 7123 Concrete placers, concrete finishers and related workers 7124 Carpenters and joiners 7126 Carpenters 7129 Building frame and related trades workers not elsewhere classified 7130 Building finishers and related trades workers 7131 Roofers 7132 Floor layers and tile setters 7133 Plasterers 7134 Insulation workers 7135 Glaziers 7136 Plumbers and pipe fitters 7137 Building and related electricians 7139 Building finishers and related trade workers 7140 Painters, building structure cleaners and related trades workers 7141 Painters and related workers 7142 Varnishes and related painters 7143 Building structure cleaners 7200 Metal, machinery and related trades workers 7210 Metal moulders, welders, sheet-metal workers, structural metal preparers and related trades workers 7211 Metal moulders and core makers 7212 Welders and flame cutters 7213 Sheet-metal workers 7214 Structural-metal preparers and erectors 7215 Riggers and cable splices 7216 Underwater workers 7220 Blacksmiths, tool-makers and related trades workers 7221 Blacksmiths, hammer-smiths and forging-press workers 7222 Tool-makers and related workers 7223 Machine-tool setters and setter-operators 7224 Metal wheel-grinders, polishers and tool sharpeners 7230 Machinery mechanics and fitters 7231 Motor vehicle mechanics and fitters 7232 Aircraft engine mechanics and fitters 7233 Agricultural- or industrial-machinery mechanics and fitters 7240 Electrical and electronic equipment mechanics and fitters 7241 Electrical mechanics and fitters 7242 Electronics fitters 7243 Electronics mechanics and service 7244 Telegraph and telephone installers and service 7245 Electrical line installers, repairers and cable jointers 7300 Precision, handicraft, printing and related trades workers 7310 Precision workers in metal and related materials 7311 Precision-instrument makers and repairers 7312 Musical instrument makers and tuners 7313 Jewellery and precious-metal workers 7320 Potters, glass-makers and related trades workers 7321 Abrasive wheel formers, potters and related workers 7322 Glass-makers, cutters, grinders and finishers 7323 Glass engravers and etchers 7324 Glass, ceramics and related decorative painters 7330 Handicraft workers in wood, textile, leather and related materials 7331 Handicraft workers in wood and related materials 7332 Handicraft workers in textile, leather and related materials 7340 Printing and related trades workers 7341 Compositors, typesetters and related workers 7342 Stereotypers and electrotypers 7343 Printing engravers and etchers 7344 Photographic and related workers 7345 Bookbinders and related workers 7346 Silk-screen, block and textile printers 7400 Other craft and related trades workers 7410 Food processing and related trades workers 7411 Butchers, fishmongers and related food preparers 7412 Bakers, pastry-cooks and confectionary makers 7413 Dairy-products makers 7414 Fruit, vegetable and related preservers 7415 Food and beverage tasters and graders 7416 Tobacco preparers and tobacco product makers 7420 Wood treaters, cabinet-makers and related trades workers 7421 Wood treaters 7422 Cabinet-makers and related workers 7423 Woodworking machine setters and setter operators 7424 Basketry weavers, brush makers and related workers 7430 Textile, garment and related trades workers 7431 Fibre preparers 7432 Weavers, knitters and related workers 7433 Tailors, dressmakers and hatters 7434 Furriers and related workers 7435 Textile, leather and related pattern-makers and cutters 7436 Sewers, embroiderers and related workers 7437 Upholsterers and related workers 7440 Pelt, leather and shoemaking trades workers 7441 Pelt dressers, tanners and fellmongers 7442 Shoe-makers and related workers 7500 Metal worker general 7510 Metal worker nec, non farm foremen nec 7520 Electronics engineers nec, skilled manual nec 7900 Master craftsmen, supervisors 8000 Plant and machine operators and assemblers 8100 Stationary-plant and related operators 8110 Mining- and mineral-processing-plant operators 8111 Mining-plant operators 8112 Mineral-ore and stone-processing-plant operators 8113 Well drillers and borers and related workers 8120 Metal-processing-plant operators 8121 Ore ad metal furnace operators 8122 Metal melters, casters and rolling-mill operators 8123 Metal-heat-treating-plant operators 8124 Metal drawers and extruders 8130 Glass, ceramics and related plant operators 8131 Glass, ceramics kiln and related machine operators 8139 Glass, ceramics and related plant operators not elsewhere classified 8140 Wood-processing- and papermaking-plant operators 8141 Wood-processing-plant operators 8142 Paper-pulp plant operators 8143 Papermaking-plant operators 8150 Chemical-processing-plant operators 8151 Crushing-, grinding- and chemical mixing-machinery operators 8152 Chemical-heat-treating-plant operators 8153 Chemical-filtering- and separating-equipment operators 8154 Chemical-still and reactor operators (except petroleum and natural gas) 8155 Petroleum and natural-gas-refining-plant operators 8159 Chemical-processing-plant operators not elsewhere classified 8160 Power-production and related plant operators 8161 Power-production plant operators 8162 Steam-engine and boiler operators 8163 Incinerator, water-treatment and related operators 8170 Automated-assembly-line and industrial-robot operators 8171 Automated-assembly-line operators 8172 Industrial-robot operators 8200 Machine operators and assemblers 8210 Metal- and mineral-products machine operators 8211 Machine-tool operators 8212 Cement and other mineral products machine operators 8220 Chemical-products machine operators 8221 Pharmaceutical- and toiletry-products machine operators 8222 Ammunition products machine operators 8223 Metal finishing-, plating and coating-machine operators 8224 Photographic-products machine operators 8229 Chemical-products machine operators not elsewhere classified 8230 Rubber- and plastic-products machine operators 8231 Rubber-products machine operators 8232 Plastic-products machine operators 8240 Wood-products machine operators 8250 Printing-, binding- and paper-products machine operators 8251 Printing-machine operators 8252 Bookbinding-machine operators 8253 Paper-products machine operators 8260 Textile, fur- and leather-products machine operators 8261 Fibre-preparing-, spinning- and winding-machine operators 8262 Weaving- and knitting-machine operators 8263 Sewing-machine operators 8264 Bleaching-, dyeing- and cleaning-machine operators 8265 Fur- and leather-preparing-machine operators 8266 Shoemaking- and related machine operators 8269 Textile-, fur- and leather-products machine operators not elsewhere classified 8270 Food and related products machine operators 8271 Meat- and fish-processing-machine operators 8272 Dairy-products machine operators 8273 Grain- and spice-milling-machine operators 8274 Baked-goods, cereal and chocolate-products machine operators 8275 Fruit-, vegetable- and nut-processing-machine operators 8276 Sugar production machine operators 8277 Tea-, coffee- and cocoa-processing-machine operators 8278 Beverage machine operators 8279 Tobacco production machine operators 8280 Assemblers 8281 Mechanical-machinery assemblers 8282 Electrical-equipment assemblers 8283 Electronic-equipment assemblers 8284 Metal-, rubber- and plastic-products assemblers 8285 Wood and related products assemblers 8286 Paperboard, textile and related products assemblers 8287 Composite products assemblers 8290 Other machine operators and assemblers 8300 Drivers and mobile-plant operators 8310 Locomotive-engine drivers and related workers 8311 Locomotive-engine drivers 8312 Railway brakers, signallers and shunters 8320 Motor-vehicle drivers 8321 Motor-cycle drivers 8322 Car, taxi and van drivers 8323 Bus and tram drivers 8324 Heavy truck and lorry drivers 8330 Agricultural and other mobile-plant operators 8331 Motorised farm and forestry plant operators 8332 Motorised farm and forestry plant operators 8333 Crane, hoist and related plant operators 8334 Lifting-truck operators 8340 Ships deck crews and related workers 9000 Elementary occupations 9100 Sales and services elementary occupations 9110 Street vendors and related workers 9111 Street food vendors 9112 Street vendors, non-food products 9113 Door-to-door, telephone salesperson 9120 Shoe cleaning and other street services elementary occupations 9130 Domestic and related helpers, cleaners and launderers 9131 Domestic helpers and cleaners 9132 Helpers and cleaners in offices, hotels and other establishments 9133 Hand-launderers and pressers 9140 Building caretakers, window and related cleaners 9141 Building caretakers 9142 Vehicle, window and related cleaners 9150 Messengers, porters, doorkeepers and related workers 9151 Messengers, package and luggage porters and deliverers 9152 Doorkeepers, watchpersons and related workers 9153 Vending-machine money collectors, meter readers and related workers 9160 Garbage collectors and related labourers 9161 Garbage collectors 9162 Sweepers and related labourers 9200 Agricultural, fishery and related labourers 9210 Agricultural, fishery and related labourers 9211 Farm-hands and labourers 9212 Forestry labourers 9213 Fishery, hunting and trapping labourers 9300 Labourers in mining, construction, manufacturing and transport 9310 Mining and construction labourers 9311 Mining and quarrying labourers 9312 Construction and maintenance labourers: roads, dams and similar constructions 9313 Building construction labourers 9320 Manufacturing labourers 9321 Assembling labourers 9322 Hand packers and other manufacturing labourers 9330 Transport labourers and freight handlers 9331 Hand or pedal vehicle drivers 9332 Drivers of animal-drawn vehicles and machinery 9333 Freight handlers 9996 Not classifiable; inadequately described 9997 Refused 9998 Don't know 9999 No answer
Range of Valid Data Values:
100-
9333 Range of Invalid Data Values:
9996-
99990 Summary Statistics:
Valid
23544
; Min.
100
; Max.
9333
Variable Format:
numeric |
SPWRKTYP:
S-P:Workg f priv,pub sector,self-empl.
|
|---|
Location:
Width:
1
| Question:
Spouse/partner: Does she/he work in the public sector at present or has she/he ever worked in the public sector before? In her/his main job, is (was) she/he an employee or self-employed? AU: Who does (or did) your partner work for in their main job? CH: Do/did your partner work in the public or private sector or is/was he/she self-employed? CL: Please choose one of the following alternatives, regarding whether your spouse or partner work in the public or private sector. CZ: 'Does/did your partner works' and 'Partner' s current economic status'. CY: Private or public sector of spouse/partner. DE: Constructed from partner's current occupational status, partner's employment status/ employment in public sector. DO: Is your spouse or life partner a public or private employee? FI: Is/was the employer of your spouse the state, a municipality, a state-owned enterprise or a private enterprise? HR: Where does your (legal) partner work? IE: Does/did your spouse/partner work in the public or private sector or are/were they self employed? KR: Is your spouse employed by the government, a publicly owned firm, a private firm, or a non-profit organization? LV: Does your spouse/partner work in public or private sector? MX: Type of institution where his/her partner works (or last worked). NO: In which firm/organisation does your spouse/partner work? SK: Does your spouse/partner currently work in: (if your spouse/partner is not employed at the moment, where did she/he work in her/his last job?) TW: What is/was your spouse's/partner's occupation? Is/was she/he self-employed or employed? UY: Please choose one of the following options, depending on if your husband/wife or partner works/worked in the public or private sector. ZA: Who is your spouse's or partner’s employer? 0 NAP, no partner, never had a job, not in paid work; not available 1 Work f government 2 Public owned firm,nat.ind 3 Private firm, others 4 Self employed 6 GB: Other, charity, voluntary sector 9 No answer, don't know
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
09 Summary Statistics:
Valid
22741
; Min.
1
; Max.
6
Variable Format:
numeric |
AR_RINC:
R: Earnings: Argentina
|
|---|
Location:
Width:
6
| Question:
AR_RINC - Argentina: Earnings of Respondent I would like that you tell me now your net or pocket monthly family income, including food stamps, commissions, tips, retirement or pension funds (social security funds), alimony, rents, interests or dividends, and any other income. Try to indicate a global sum of your pocket incomes: 0 No own income, not in paid work 50 50 ARS 40000 40000 ARS 999990 NAP, other countries 999998 Don't know Note: If respondent does not inform personal income, we ask a class income question (a letter had to be chosen). (By fieldwork time, 3 pesos = 1 dollar)
Range of Valid Data Values:
50-
40000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1162
; Min.
50
; Max.
40000
Variable Format:
numeric |
AT_RINC:
R: Earnings: Austria
|
|---|
Location:
Width:
6
| Question:
AT_RINC - Austria: Earnings of Respondent How much approximately is your personal monthly net income (after taxation and deduction of social security fees)? Personal monthly net income after taxes in EUR (midpoints) 0 No income 150 Up to 300 EUR 450 301 to 600 EUR 750 601 to 900 EUR 1050 901 to 1.200 EUR 1350 1.201 to 1.500 EUR 1650 1.501 to 1.800 EUR 1950 1.801 to 2.100 EUR 2300 2.101 to 2.500 EUR 2750 2.501 to 3.000 EUR 3500 3.001 to 4.000 EUR 4500 4.000 EUR and more 999990 NAP, other countries 999998 Don't know 999999 No answer
Range of Valid Data Values:
150-
4500 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
784
; Min.
150
; Max.
4500
Variable Format:
numeric |
AU_RINC:
R: Earnings: Australia
|
|---|
Location:
Width:
6
| Question:
AU_RINC - Australia: Earnings of Respondent What is your personal gross annual income, before tax or other deductions, from all sources? Please include any pensions and allowances, and income from interest or dividends. 0 No income 3120 1 - 6.239 AUD pa 7280 6.240 - 8.319 AUD pa 9360 8.320 - 10.399 AUD pa 13000 10.400 - 15.599 AUD pa 18200 15.600 - 20.799 AUD pa 23400 20.800 - 25.999 AUD pa 28600 26.000 - 31.199 AUD pa 33800 31.200 - 36.399 AUD pa 39000 36.400 - 41.599 AUD pa 46800 41.600 - 51.999 AUD pa 65000 52.000 - 77.999 AUD pa 91000 78.000 - 103.999 AUD pa 104000 104.000 AUD or more pa 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Yearly income in Australian Dollar; midpoints of the class categories are coded
Range of Valid Data Values:
3120-
104000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
2406
; Min.
3120
; Max.
104000
Variable Format:
numeric |
BG_RINC:
R: Earnings: Bulgaria
|
|---|
Location:
Width:
6
| Question:
BG_RINC - Bulgaria: Earnings of Respondent Exact personal monthly income in Bulgarian Lewa 0 No income 999990 NAP, other countries 999999 No answer
Range of Valid Data Values:
8-
8000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
607
; Min.
8
; Max.
8000
Variable Format:
numeric |
CH_RINC:
R: Earnings: Switzerland
|
|---|
Location:
Width:
6
| Question:
CH_RINC - Switzerland: Earnings of Respondent We also would like to have some information on the income of the households to analyze the results of this study according to different types of households. (Open ended): If the respondent actually has a paid job: May I ask you how much is the total of your personal monthly net income, i.e. the sum that it remains you after deduction of the contributions of the Social Security (AVS etc) but before deduction of the taxes? All others: May I ask you what is the sum of eventual pensions, annuity, unemployment benefit, grant or other financial support that you personally receive each month? (Categories): If the respondent actually has a paid job: Would you accept to tell me the approximate amount of your monthly net income? All others: Would you accept to tell me the approximate amount of that sum? (We want to know, what an amount appears each month on the account! i.e. the sum of all the incomes of occupation, annuity, pension, unemployment benefit, grant or other supports (but not incomes of capital). The net income of foreigner is estimated after to have deducted of the tax to the source. Indicate the amount) 0 No own income, not in paid work 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer
Range of Valid Data Values:
150-
19000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
759
; Min.
150
; Max.
19000
Variable Format:
numeric |
CL_RINC:
R: Earnings: Chile
|
|---|
Location:
Width:
7
| Question:
CL_RINC - Chile: Personal income From the following list of monthly income, could you tell me in which one does your personal income fits, considering all net income coming from salaries, pensions, family help, etc.? 0 No own income, not in paid work 20 Less than 35.000 CLP per month 45 35.001-56.000 CLP 66 56.001-78.000 CLP 90 78.001-101.000 CLP 122 101.001-134.000 CLP 155 134.001-179.000 CLP 200 179.001-224.000 CLP 250 224.001-291.000 CLP 310 291.001-358.000 CLP 400 358.001-448.000 CLP 750 448.001-1.000.000 CLP 1500 1.000.001-2.000.000 CLP 2500 2.000.001-3.000.000 CLP 3100 More than 3.000.000 CLP per month 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Monthly net income in thousand Chilean Pesos; class midpoints of the income categories are recoded.
Range of Valid Data Values:
20-
3100 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1128
; Min.
20
; Max.
3100
Variable Format:
numeric |
CY_RINC:
R: Earnings: Cyprus
|
|---|
Location:
Width:
6
| Question:
CY_RINC - Cyprus: Earnings of Respondent What is approximately your personal gross income? 0 No own income, not in paid work 50 0-100 CYP 150 101-200 CYP 250 201-300 CYP 350 301-400 CYP 450 401-500 CYP 550 501-600 CYP 700 601-800 CYP 900 801-1000 CYP 1100 1001-1200 CYP 1300 More than 1200 CYP 999990 NAP, other countries 999998 Don't know Note: Class midpoints of the income categories are recoded.
Range of Valid Data Values:
50-
1300 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
817
; Min.
50
; Max.
1300
Variable Format:
numeric |
CZ_RINC:
R: Earnings: Czech Republic
|
|---|
Location:
Width:
6
| Question:
CZ_RINC - Czech Republic: Earnings of Respondent What is your personal average net income per month in total? If you have, please include your average net income in your job or business, your average net income from additional money providing activities or property (additional employment or business, rents from property, incomes from shares, etc.) and average social income per month (unemployment benefits, maternal benefits, allowances, rents, etc.). Do not count child allowances. Total average net income of respondent per month in CZK. Income asked in categories, i.e. midpoints of categories are coded. 0 No own income, not in paid work 3000 1-5.999 CZK 7000 6.000-7.999 CZK 9000 8.000-9.999 CZK 11000 10.000-11.999 CZK 13000 12.000-13.999 CZK 15000 14.000-15.999 CZK 17000 16.000-17.999 CZK 19000 18.000-19.999 CZK 21000 20.000-21.999 CZK 23000 22.000-23.999 CZK 25000 24.000-25.999 CZK 28000 26.000-29.999 CZK 32500 30.000-34.999 CZK 37500 35.000-39.999 CZK 45000 40.000-49.999 CZK 55000 50.000-59.999 CZK 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer
Range of Valid Data Values:
3000-
55000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
771
; Min.
3000
; Max.
55000
Variable Format:
numeric |
DE_RINC:
R: Earnings: Germany
|
|---|
Location:
Width:
6
| Question:
DE_RINC - Germany: Earnings of Respondent How high is your own net monthly income? By this I mean the amount remaining after deducations for tax and social security contributions. 0 No income, not in paid work 999990 NAP, other countries 999997 Refused 999999 No answer Note: 'Respondent Earnings' taken from ALLBUS 2008 personal income; if respondent refused to answer open ended question then income categories prompted. Alphabet letter and answer categories randomly assigned; continuous and categorial variable coded into one; if categorial question answered then mean coded.
Range of Valid Data Values:
1-
7500 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1380
; Min.
1
; Max.
7500
Variable Format:
numeric |
DO_RINC:
R: Earnings: Dominican Republic
|
|---|
Location:
Width:
6
| Question:
DO_RINC - Dominican Republic: Earnings of Respondent Could you tell me in which of these categories does your monthly personal net income (after tax deduction) fit into at this moment? (I am not asking about the exact amount, just that you point me to the direct category in which the total monthly income of the family is (SHOW INCOME CARD)) 0 No own income, not in paid work 4000 Less than 5.000 DOP 10500 5.000-15.999 DOP 21500 16.000-26.999 DOP 32500 27.000-37.999 DOP 43500 38.000-48.999 DOP 54500 49.000-59.999 DOP 65000 60.000-69.999 DOP 75000 70.000-79.999 DOP 85000 80.000-89.999 DOP 95000 90.000 DOP and more 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Monthly net income in Dominican Pesos; midpoints of the income classes are coded.
Range of Valid Data Values:
4000-
95000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
2000
; Min.
4000
; Max.
95000
Variable Format:
numeric |
FI_RINC:
R: Earnings: Finland
|
|---|
Location:
Width:
6
| Question:
FI_RINC - Finland: Earnings of Respondent What is your own average monthly income before taxes (= gross income)? 0 No own income, not in paid work 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Monthly income in European currency (EUR); unclassified numerical income values.
Range of Valid Data Values:
2-
44000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1153
; Min.
2
; Max.
44000
Variable Format:
numeric |
FLA_RINC:
R: Earnings: Flanders
|
|---|
Location:
Width:
6
| Question:
FLA_RINC - Flanders: Earnings of Respondent It is important that we can get an accurate picture of your income. We make a difference between your personal income and the income of your household. Do you have a personal income through a job, a pension, unemployment benefit, sickness benefit, job as a student, income from capital, from real estates or other incomes? By personal net monthly income we mean the total sum of your personal earnings, after tax deduction, everything included such as salary, meal tickets, retirement pay or other incomes from capital or real estates ... Is your personal monthly net income higher than 2.000 euro or 80000 Belgian francs? When you take a look at the categories on card 20, in which category do you place your net monthly income? 0 No income, not in paid work 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer
Range of Valid Data Values:
250-
6700 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1034
; Min.
250
; Max.
6700
Variable Format:
numeric |
FR_RINC:
R: Earnings: France
|
|---|
Location:
Width:
6
| Question:
FR_RINC - France: Earnings of Respondent By means of the list below, can you say to me what is the amount of your professional monthly income, that is what you get effectively every month because of your professional activity? 0 No own income,not in paid work 305 305 EUR 610 610 EUR 915 915 EUR 1296 1.296 EUR 1906 1.906 EUR 2668 2.668 EUR 3430 3.430 EUR 4192 4.192 EUR 5335 5.335 EUR 6860 6.860 EUR 9909 9.909 EUR 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Monthly income in European currency (EUR); according to the ISSP standardization, categories are coded into midpoints of the classes.
Range of Valid Data Values:
305-
9909 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1569
; Min.
305
; Max.
9909
Variable Format:
numeric |
GB_RINC:
R: Earnings: Great Britain
|
|---|
Location:
Width:
6
| Question:
GB_RINC - Great Britain: Earnings of Respondent Which of the letters on this card represents your own gross or total earnings, before deduction of income tax and national insurance (includes income from benefits, savings, etc.)? 0 No own income, not in paid work 2000 Up to 3.999 GBP 5000 4.000 - 5.999 GBP 7000 6.000 - 7.999 GBP 9000 8.000 - 9.999 GBP 11000 10.000 - 11.999 GBP 13500 12.000 - 14.999 GBP 16500 15.000 - 17.999 GBP 19000 18.000 - 19.999 GBP 21500 20.000 - 22.999 GBP 24500 23.000 - 25.999 GBP 27500 26.000 - 28.999 GBP 30500 29.000 - 31.999 GBP 35000 32.000 - 37.999 GBP 41000 38.000 - 43.999 GBP 47000 44.000 - 49.999 GBP 53000 50.000 - 55.999 GBP 59000 56.000 GBP or more 999990 NAP, other countries 999997 Refused 999998 Don't know Note: Total earnings before tax in British Pounds; midpoints of the income categories are coded.
Range of Valid Data Values:
2000-
59000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
446
; Min.
2000
; Max.
59000
Variable Format:
numeric |
HR_RINC:
R: Earnings: Croatia
|
|---|
Location:
Width:
6
| Question:
HR_RINC - Croatia: Earnings of Respondent If you have regular monthly income, how much does your monthly net income amount, including wage, pensions, insurance income, income from rents, honorariums and all other sources of income? 150 150 HRK 50000 50.000 HRK 999990 NAP, other countries 999998 Don't know 999999 No answer
Range of Valid Data Values:
150-
50000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
740
; Min.
150
; Max.
50000
Variable Format:
numeric |
HU_RINC:
R: Earnings: Hungary
|
|---|
Location:
Width:
6
| Question:
HU_RINC - Hungary: Earnings of Respondent Net income per month in Hungarian Forint (HUF). 0 No income, not in paid work 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer
Range of Valid Data Values:
11000-
400000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
843
; Min.
11000
; Max.
400000
Variable Format:
numeric |
IE_RINC:
R: Earnings: Ireland
|
|---|
Location:
Width:
6
| Question:
IE_RINC - Ireland: Earnings of Respondent And which group does your own gross income fall into, again before taxes and other deductions? Tick in column (2) the letter of the group your personal income falls into. 0 No own income, not in paid work 5000 Under 6.000 EUR per year 7750 6.000-9.500 EUR 10750 9.500-12.000 EUR 15000 12.000-18.000 EUR 21000 18.000-24.000 EUR 27000 24.000-30.000 EUR 33000 30.000-36.000 EUR 48000 36.000-60.000 EUR 75000 60.000-90.000 EUR 105000 90.000-120.000 EUR 170000 160.000 EUR and more per year 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Yearly income in Euro, midpoints of categories for intermediate amounts.
Range of Valid Data Values:
5000-
170000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1102
; Min.
5000
; Max.
170000
Variable Format:
numeric |
IL_RINC:
R: Earnings: Israel
|
|---|
Location:
Width:
6
| Question:
IL_RINC - Israel: Earnings of Respondent Net income per month in New Israeli Shekel 0 No own income, not in paid work 1000 2000 ILS and less 3000 2.001-4.000 ILS 5000 4.001-6.000 ILS 7000 6.001-8.000 ILS 9000 8.001-10.000 ILS 13000 10.001-15.000 ILS 15500 More than 15.000 ILS 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer
Range of Valid Data Values:
1000-
15500 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
650
; Min.
1000
; Max.
15500
Variable Format:
numeric |
JP_RINC:
R: Earnings: Japan
|
|---|
Location:
Width:
6
| Question:
JP_RINC - Japan: Earnings of Respondent What amount of income did you earn last year, inclusive of tax, casual and part-time income? 0 No own income, not in paid work 500 Less than 1.000.000 JPY per year 1500 1.000.000-1.999.999 JPY 2500 2.000.000-2.999.999 JPY 3500 3.000.000-3.999.999 JPY 4500 4.000.000-4.999.999 JPY 5500 5.000.000-5.999.999 JPY 6500 6.000.000-6.999.999 JPY 7500 7.000.000-7.999.999 JPY 8500 8.000.000-8.999.999 JPY 9500 9.000.000-9.999.999 JPY 11000 10.000.000-11.999.999 JPY 13500 12.000.000-14.999.999 JPY 20000 15.000.000 JPY and more per year 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Yearly income in thousand Japanese Yen; midpoints of the income classes.
Range of Valid Data Values:
500-
20000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
979
; Min.
500
; Max.
20000
Variable Format:
numeric |
KR_RINC:
R: Earnings: South Korea
|
|---|
Location:
Width:
6
| Question:
KR_RINC - South Korea: Earnings of Respondent Before taxes and other deductions, what is your total monthly average income from this job? This includes your base pay, bonuses, and other allowances. 0 No income 6 60.000 KRW 3000 30.000.000 KRW 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Monthly average income in 10.000 Korean Won; for 2007, income is coded both in actual amount as well as in categories.
Range of Valid Data Values:
6-
3000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
781
; Min.
6
; Max.
3000
Variable Format:
numeric |
LV_RINC:
R: Earnings: Latvia
|
|---|
Location:
Width:
6
| Question:
LV_RINC - Latvia: Earnings of Respondent What were your personal earnings after deductions last month - salaries, stipends, benefits, pensions, rent for your ownership etc.? 0 No income 999990 NAP, other countries 999998 Don't know 999999 No answer Note: Monthly net income in Latvian Lats; actual amount of income.
Range of Valid Data Values:
6-
2000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
750
; Min.
6
; Max.
2000
Variable Format:
numeric |
MX_RINC:
R: Earnings: Mexico
|
|---|
Location:
Width:
6
| Question:
MX_RINC - Mexico: Earnings of Respondent Monthly net income in Mexican Peso (MXN) 0 No income 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer
Range of Valid Data Values:
500-
40000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
722
; Min.
500
; Max.
40000
Variable Format:
numeric |
NO_RINC:
R: Earnings: Norway
|
|---|
Location:
Width:
6
| Question:
NO_RINC - Norway: Earnings of Repsondent About how large is your own yearly gross income? Include pensions, social security benefits, incidental earnings or similar. Round to nearest 1000 Norwegian Kroner. 0 No income 5 5.000 NOK 30000 30.000.000 NOK 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Yearly income in 1000 Norwegian Kroner; actual continuous income values are coded.
Range of Valid Data Values:
5-
30000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1018
; Min.
5
; Max.
30000
Variable Format:
numeric |
NZ_RINC:
R: Earnings: New Zealand
|
|---|
Location:
Width:
6
| Question:
NZ_RINC - New Zealand: Earnings of Respondent Which of the following categories best describes your own yearly income from all sources before tax? 0 No own income, not in paid work 5000 10.000 NZD or less per year 12500 10.001-15.000 NZD 17500 15.001-20.000 NZD 22500 20.001-25. 000 NZD 27500 25.001-30.000 NZD 35000 30.001-40.000 NZD 45000 40.001-50.000 NZD 60000 50.001-70.000 NZD 85000 70.001-100.000 NZD 120000 100.001 NZD or more 999990 NAP, other countries 999997 Refused 999998 Dont know 999999 No answer Note: Income categories were converted to average values.
Range of Valid Data Values:
5000-
120000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
945
; Min.
5000
; Max.
120000
Variable Format:
numeric |
PH_RINC:
R: Earnings: Philippines
|
|---|
Location:
Width:
6
| Question:
PH_RINC - Philippines: Earnings of Respondent And about how much is your own monthly income? 0 No income 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Actual amount of income in Philippines Pesos.
Range of Valid Data Values:
150-
90000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
711
; Min.
150
; Max.
90000
Variable Format:
numeric |
PL_RINC:
R: Earnings: Poland
|
|---|
Location:
Width:
6
| Question:
PL_RINC - Poland: Earnings of Respondent (Only for people currently working) Taking into consideration last 12 months, please tell me your household total monthly income from all sources. Please calculate and tell me the monthly average after taxes. 0 No income, not in labour force 999990 NAP, other countries 999997 Refused 999998 Don' t know 999999 No answer Note: Actual continuous income values in Polish Zloty (PLN)
Range of Valid Data Values:
200-
10000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
513
; Min.
200
; Max.
10000
Variable Format:
numeric |
RU_RINC:
R: Earnings: Russia
|
|---|
Location:
Width:
6
| Question:
RU_RINC - Russia: Earnings of Respondent (Only for those who are in labour force) What was your total income last month from all sources in Russian Roubles? 0 No income 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Actual continuous income values in Russian Roubles (RUB)
Range of Valid Data Values:
800-
105000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
919
; Min.
800
; Max.
105000
Variable Format:
numeric |
SE_RINC:
R: Earnings: Sweden
|
|---|
Location:
Width:
6
| Question:
SE_RINC - Sweden: Earnings of Respondent What is your approximate monthly income before taxes? (in Swedish Crowns SEK) 0 No income 999990 NAP, other countries 999998 Don't know 999999 No answer Note: Monthly pre-tax income in Swedish Krona; actual income values are coded.
Range of Valid Data Values:
1000-
220000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1130
; Min.
1000
; Max.
220000
Variable Format:
numeric |
SI_RINC:
R: Earnings: Slovenia
|
|---|
Location:
Width:
6
| Question:
SI_RINC - Slovenia: Earnings of Respondent Do you have any monthly income? (If yes) What was your last regular monthly income (after tax deduction, obligatory social security payment and other deductions)? Calculate all kinds of incomes: personal income, pension, scholarship, income from trade, farming ... 0 No income, not in paid work 10 10.000 SIT 105 105.000 SIT 999990 NAP, other countries 999998 Don't know 999999 No answer Note: Exact monthly net income in thousand Slovenian Tolar
Range of Valid Data Values:
10-
631 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
597
; Min.
10
; Max.
631
Variable Format:
numeric |
SK_RINC:
R: Earnings: Slovak Republic
|
|---|
Location:
Width:
6
| Question:
SK_RINC - Slovakia: Earnings of Respondent Now we would like to ask you about your income. What is your current personal net income per month including wage, pension, value of the luncheon vouchers and all other benefits and allowances? From the following list, please, choose the option that mostly represents the size of your net personal incomes. 0 No own income, not in paid work 1500 Up to 3.000 SKK 3750 3.001-4.500 SKK 5500 4.501-6.500 SKK 8000 6.501-9.500 SKK 11500 9.501-13.500 SKK 15500 13.501-17.500 SKK 20250 17.501-23.000 SKK 26500 23.001-30.000 SKK 37500 30.001-45.000 SKK 52500 45.001 SKK and more 999990 NAP, other countries 999998 Don't know 999999 No answer Note: Midpoints of the income categories in Slovak Crowns.
Range of Valid Data Values:
1500-
52500 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
937
; Min.
1500
; Max.
52500
Variable Format:
numeric |
TW_RINC:
R: Earnings: Taiwan
|
|---|
Location:
Width:
6
| Question:
TW_RINC - Taiwan: Respondents Earnings What is your average monthly income (e.g., salary, bonus, overtime compensation, business income, private business income etc.)? 0 No own income, not in paid work 5000 Less than 10.000 TWD 15000 10.001-20.000 TWD 25000 20.001-30.000 TWD 35000 30.001-40.000 TWD 45000 40.001-50.000 TWD 55000 50.001-60.000 TWD 65000 60.001-70.000 TWD 75000 70.001-80.000 TWD 85000 80.001-90.000 TWD 95000 90.001-100.000 TWD 105000 100.001-110.000 TWD 115000 110.001-120.000 TWD 125000 120.001-130.000 TWD 135000 130.001-140.000 TWD 145000 140.001-150.000 TWD 155000 150.001-160.000 TWD 165000 160.001-170.000 TWD 175000 170.001-180.000 TWD 185000 180.001-190.000 TWD 195000 190.001-200.000 TWD 250000 200.001-300.000 TWD 450000 More than 300.000 TWD 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Average monthly income in Taiwanese Dollar; midpoints of the income categories were coded.
Range of Valid Data Values:
5000-
450000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1899
; Min.
5000
; Max.
450000
Variable Format:
numeric |
US_RINC:
R: Earnings: USA
|
|---|
Location:
Width:
6
| Question:
US_RINC - United States: Earnings of Respondent Did you earn any income from the job you worked in 2006? In which of these groups did your earnings from the job you worked, from all sources for 2006 fall? That is, before taxes or other deductions. Just tell me the letter. 500 Under 1.000 USD per year 2000 1.000-2.999 USD 3500 3.000-3.999 USD 4500 4.000-4.999 USD 5500 5.000-5.999 USD 6500 6.000-6.999 USD 7500 7.000-7.999 USD 9000 8.000-9.999 USD 11250 10.000-12.499 USD 13750 12.500-14.999 USD 16750 15.000-17.499 USD 18750 17.500-19.999 USD 21750 20.000-22.499 USD 23750 22.500-24.999 USD 27500 25.000-29.999 USD 32500 30.000-34.999 USD 37500 35.000-39.999 USD 45000 40.000-49.999 USD 55000 50.000-59.999 USD 67500 60.000-74.999 USD 82500 75.000-89.999 USD 100000 90.000-109.999 USD 120000 110.000-129.999 USD 140000 130.000-149.999 USD 150000 150.000 USD or over per year 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Yearly income before taxes in US Dollar; midpoints of the income categories were coded.
Range of Valid Data Values:
500-
150000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
920
; Min.
500
; Max.
150000
Variable Format:
numeric |
UY_RINC:
R: Earnings: Uruguay
|
|---|
Location:
Width:
6
| Question:
UY_RINC - Uruguay: Earnings of Respondent Looking at the card, could you please tell me the number that corresponds to your gross monthly income, after tax or other deductions, from all sources? Please include any pensions and allowances, and income from interests or dividends, as well as help from family and friends, rents and others. 0 No income 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Monthly net income in Uruguayan Pesos
Range of Valid Data Values:
150-
170000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1246
; Min.
150
; Max.
170000
Variable Format:
numeric |
ZA_RINC:
R: Earnings: South Africa
|
|---|
Location:
Width:
6
| Question:
ZA_RINC - South Africa: Earnings of Respondent Please give me the letter that best describes your TOTAL MONTHLY INCOME before tax and other deductions. Please indicate all sources of income, i.e. salaries, pensions, income from investments, etc. 0 No own income, not in paid work 250 500 ZAR per month and less 625 501-750 ZAR 875 751-1.000 ZAR 1250 1.001-1.500 ZAR 1750 1.501-2.000 ZAR 2500 2.001-3.000 ZAR 4000 3.001-5.000 ZAR 6250 5.001-7.500 ZAR 8750 7.501-10.000 ZAR 12500 10.001-15.000 ZAR 17500 15.001-20.000 ZAR 25000 20.001-30.000 ZAR 40000 30.001-50.000 ZAR 60000 50.001 ZAR and more 999990 NAP, other countries 999997 Refuse to answer 999998 Uncertain or Don’t know 999999 No answer Note: Monthly income before tax in Rand; midpoints of the income classes were coded.
Range of Valid Data Values:
250-
60000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1722
; Min.
250
; Max.
60000
Variable Format:
numeric |
AR_INC:
Family income: Argentina
|
|---|
Location:
Width:
6
| Question:
AR_INC - Argentina: Family income I would like that you tell me now the net monthly income, including all concepts, of your family as a whole: 999990 NAP, other countries 999998 Don't know 999999 No answer Note: If respondent does not inform his/her family income, we ask for income classes, and the final variable is a mixture of both questions. Monthly income in Argentinean Peso (ARS).
Range of Valid Data Values:
50-
40000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1332
; Min.
50
; Max.
40000
Variable Format:
numeric |
AT_INC:
Family income: Austria
|
|---|
Location:
Width:
6
| Question:
AT_INC - Austria: Family income How much approximately is the monthly net income of your household (after taxation)? 150 Up to 300 EUR 450 301 to 600 EUR 750 601 to 900 EUR 1050 901 to 1.200 EUR 1350 1.201 to 1.500 EUR 1650 1.501 to 1.800 EUR 1950 1.801 to 2.100 EUR 2300 2.101 to 2.500 EUR 2750 2.501 to 3.000 EUR 3500 3.001 to 4.000 EUR 4500 4.000 EUR and more 999990 NAP, other countries 999998 Don't know 999999 No answer Note: Midpoints of the income classes in European currency.
Range of Valid Data Values:
150-
4500 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
741
; Min.
150
; Max.
4500
Variable Format:
numeric |
AU_INC:
Family income: Australia
|
|---|
Location:
Width:
6
| Question:
AU_INC - Australia: Family income What is your gross household income, before tax or other deductions, from all sources? 0 No income 5200 1-10.399 AUD per year 13000 10.400-15.599 AUD pa 18200 15.600-20.799 AUD pa 23400 20.800-25.999 AUD pa 28600 26.000-31.199 AUD pa 33800 31.200-36.399 AUD pa 39000 36.400-41.599 AUD pa 46800 41.600-51.999 AUD pa 65000 52.000-77.999 AUD pa 91000 78.000-103.999 AUD pa 104000 104.000 AUD or more per year 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Yearly income in Australian Dollar; midpoints of the class categories are coded
Range of Valid Data Values:
5200-
104000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
2342
; Min.
5200
; Max.
104000
Variable Format:
numeric |
BG_INC:
Family income: Bulgaria
|
|---|
Location:
Width:
6
| Question:
BG_INC - Bulgaria: Family income Exact monthly family income in Bulgarian Lewa 0 No income 999990 NAP, other countries 999999 No answer
Range of Valid Data Values:
35-
8400 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
644
; Min.
35
; Max.
8400
Variable Format:
numeric |
CH_INC:
Family income: Switzerland
|
|---|
Location:
Width:
6
| Question:
CH_INC - Switzerland: Family income (Open ended): And, could you say how much is the total of the monthly net income of all household members, including you, i.e. the sum that remains after deduction of the contributions of Social Security (AVS etc) but before deduction of the taxes? i.e. the sum of all the incomes of occupation, annuity, pension, unemployment benefit, grant or other supports (but not incomes of capital). OR (if nobody actually has a paid job in the household): And, could you tell me the sum of eventual pensions, annuity, unemployment benefit, grant or other financial support that all household members together, including yourself, receive each month? (Categories): Would you accept to tell me the approximate total monthly net income of all the household members? OR (if nobody actually has a paid job in the household): Would you accept to tell me the approximate amount of that sum? (If Respondent refused to answer open ended question: income categories) 0 No income 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Total of the monthly net income in Swiss Francs; the continuous values of the open ended question and the midpoints of the income categories are merged together in case of refusal.
Range of Valid Data Values:
12-
30000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
755
; Min.
12
; Max.
30000
Variable Format:
numeric |
CL_INC:
Family income: Chile
|
|---|
Location:
Width:
7
| Question:
CL_INC - Chile: Family income From the following list of monthly income, could you tell me in which one does your household fits, considering all net income coming from salaries, pensions, family help, etc.? 0 No own income, not in paid work 20 Less than 35.000 CLP per month 45 35.001-56.000 CLP 66 56.001-78.000 CLP 90 78.001-101.000 CLP 122 101.001-134.000 CLP 155 134.001-179.000 CLP 200 179.001-224.000 CLP 250 224.001-291.000 CLP 310 291.001-358.000 CLP 400 358.001-448.000 CLP 750 448.001-1.000.000 CLP 1500 1.000.001-2.000.000 CLP 2500 2.000.001-3.000.000 CLP 3100 More than 3.000.000 CLP per month 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Monthly net income in thousand Chilean Pesos; midpoints of the income categories
Range of Valid Data Values:
20-
3100 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1172
; Min.
20
; Max.
3100
Variable Format:
numeric |
CY_INC:
Family income: Cyprus
|
|---|
Location:
Width:
6
| Question:
CY_INC - Cyprus: Family income What is approximately the gross income of your family in total? 100 0-200 CYP 250 201-300 CYP 450 301-500 CYP 600 501-700 CYP 800 701-900 CYP 1000 901-1.100 CYP 1200 1.101-1.300 CYP 1400 1.301-1.500 CYP 1600 1.501-1.700 CYP 1800 More than 1.700 CYP 999990 NAP, other countries 999998 Don't know Note: Midpoints if the income categories in Cyprus Pounds.
Range of Valid Data Values:
100-
1800 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
871
; Min.
100
; Max.
1800
Variable Format:
numeric |
CZ_INC:
Family income: Czech Republic
|
|---|
Location:
Width:
6
| Question:
CZ_INC - Czech Republic: Family income What is an average total net income of your household per month? We mean incomes and rents of all members of your household after taxation and all social benefits, allowances and complementary incomes. 0 No income 6000 Up to 6.999 CZK 8500 7.000-9.999 CZK 11000 10.000-11.999 CZK 13000 12.000-13.999 CZK 15000 14.000-15.999 CZK 17000 16.000-17.999 CZK 19000 18.000-19.999 CZK 21000 20.000-21.999 CZK 23000 22.000-23.999 CZK 25000 24.000-25.999 CZK 27000 26.000-27.999 CZK 29000 28.000-29.999 CZK 32500 30.000-34.999 CZK 37500 35.000-39.999 CZK 42500 40.000-44.999 CZK 47500 45.000-49.999 CZK 55000 50.000-59.999 CZK 70000 60.000-79.999 CZK 95000 80.000 CZK and more 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Total average net income of household per month in CZK. Income asked in categories, i.e. midpoints of categories are coded.
Range of Valid Data Values:
6000-
95000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
701
; Min.
6000
; Max.
95000
Variable Format:
numeric |
DE_INC:
Family income: Germany
|
|---|
Location:
Width:
6
| Question:
DE_INC - Germany: Family income How high is the total net monthly income of your household? By this I mean the amount remaining after deducations for tax and social security contributions. For self-employed, please ask for average net monthly income, after deductions for overheads. 0 No income 999990 NAP, other countries 999997 Refused 999999 No answer Note: If respondent refused to answer open ended question then income categories prompted: Alphabet letter and answer categories randomly assigned; if categorial question answered then mean coded, see below; continuous and categorial variable coded into one; if single household then respondent's income coded.
Range of Valid Data Values:
76-
10000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1210
; Min.
76
; Max.
10000
Variable Format:
numeric |
DO_INC:
Family income: Dominican Republic
|
|---|
Location:
Width:
6
| Question:
DO_INC - Dominican Republic: Family income Considering every income of your household, the earnings of every member of the house, what is the total monthly net income of the household (after tax deduction)? 0 No income 4000 Less than 5.000 DOP 10500 5.000-15.999 DOP 21500 16.000-26.999 DOP 32500 27.000-37.999 DOP 43500 38.000-48.999 DOP 54500 49.000-59.999 DOP 65000 60.000-69.999 DOP 75000 70.000-79.999 DOP 85000 80.000-89.999 DOP 95000 90.000 DOP and more 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Monthly net income in Dominican Pesos; midpoints of the income classes are coded.
Range of Valid Data Values:
4000-
95000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
2003
; Min.
4000
; Max.
95000
Variable Format:
numeric |
FI_INC:
Family income: Finland
|
|---|
Location:
Width:
6
| Question:
FI_INC - Finland: Family income What is the average total monthly income of your household before tax (=gross income), including taxable social security benefits? 0 No income 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Total monthly household income before tax in European currency (EUR); actual continuous income values are coded.
Range of Valid Data Values:
100-
100000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1095
; Min.
100
; Max.
100000
Variable Format:
numeric |
FLA_INC:
Family income: Flanders
|
|---|
Location:
Width:
6
| Question:
FLA_INC - Flanders: Family income Now I want to ask you something about the income of your household. By household we understand the household of married persons or persons living together, a person living alone or someone who still lives with his/her parents. By net monthly income of the household we mean the total sum of the earnings, after tax deduction, everything included such as salaries, meal tickets, child benefits, retirement pay or other incomes from capital or real estates ... Is the monthly income of your household larger than 2000 euro or 80000 belgian francs? In which category do you place your monthly net income of the household? 0 No income 250 250 EUR 10450 10.450 EUR 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer
Range of Valid Data Values:
250-
10450 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1088
; Min.
250
; Max.
10450
Variable Format:
numeric |
FR_INC:
Family income: France
|
|---|
Location:
Width:
6
| Question:
FR_INC - France: Family income By means of the list below, can you say to me what is the amount of your monthly family income, by taking into account all the comebacks of money of your household: wages, family allowances, rents or financial investments etc.? 0 No own income 305 305 EUR 610 610 EUR 915 915 EUR 1296 1.296 EUR 1906 1.906 EUR 2668 2.668 EUR 3430 3.430 EUR 4192 4.192 EUR 5335 5.335 EUR 6860 6.860 EUR 9909 9.909 EUR 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer
Range of Valid Data Values:
305-
9909 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1856
; Min.
305
; Max.
9909
Variable Format:
numeric |
GB_INC:
Family income: Great Britain
|
|---|
Location:
Width:
6
| Question:
GB_INC - Great Britain: Earnings of Respondent Which of the letters on this card represents the total income of your household from all sources before tax? Please just tell me the letter. 2000 Up to 3.999 GBP 5000 4.000-5.999 GBP 7000 6.000-7.999 GBP 9000 8.000-9.999 GBP 11000 10.000-11.999 GBP 13500 12.000-14.999 GBP 16500 15.000-17.999 GBP 19000 18.000-19.999 GBP 21500 20.000-22.999 GBP 24500 23.000-25.999 GBP 27500 26.000-28.999 GBP 30500 29.000-31.999 GBP 35000 32.000-37.999 GBP 41000 38.000-43.999 GBP 47000 44.000-49.999 GBP 53000 50.000-55.999 GBP 59000 56.000 GBP and more 999990 NAP, other countries 999997 Refused 999998 Don't know Note: Total income of household before tax in British Pounds; midpoints of the income categories are coded.
Range of Valid Data Values:
2000-
59000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
777
; Min.
2000
; Max.
59000
Variable Format:
numeric |
HR_INC:
Family income: Croatia
|
|---|
Location:
Width:
6
| Question:
HR_INC - Croatia: Family income Please state your family monthly income (incomes of all family members together) – including salaries, pensions, child benefits, income from rents and all other sources of income (after deduction). 0 No income 150 150 HRK 75000 75.000 HRK 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Monthly net income of all family members in Croation Kuna; actual continuous income values are coded.
Range of Valid Data Values:
150-
75000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
795
; Min.
150
; Max.
75000
Variable Format:
numeric |
HU_INC:
Family income: Hungary
|
|---|
Location:
Width:
6
| Question:
HU_INC - Hungary: Family income Family net income in Hungarian Forint (HUF). 0 No income 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Actual continuous income values are coded.
Range of Valid Data Values:
20000-
750000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
860
; Min.
20000
; Max.
750000
Variable Format:
numeric |
IE_INC:
Family income: Ireland
|
|---|
Location:
Width:
6
| Question:
IE_INC - Ireland: Family income Here is a scale of incomes, and we would like to know in what group your household lies in terms of it’s gross income, counting all wages, salaries, pensions and other income that come in, before taxes and other deductions. Tick in column (1) the letter of the group your household falls into, before taxes and other deductions. 5000 Under 6.000 EUR per year 7750 6.000-9.500 EUR 10750 9.500-12.000 EUR 15000 12.000-18.000 EUR 21000 18.000-24.000 EUR 27000 24.000-30.000 EUR 33000 30.000-36.000 EUR 48000 36.000-60.000 EUR 75000 60.000-90.000 EUR 105000 90.000-120.000 EUR 140000 120.000-160.000 EUR 170000 160.000 EUR and more per year 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Income per year in EUR, midpoints of categories for intermediate amounts.
Range of Valid Data Values:
5000-
170000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
992
; Min.
5000
; Max.
170000
Variable Format:
numeric |
IL_INC:
Family income: Israel
|
|---|
Location:
Width:
6
| Question:
IL_INC - Israel: Family income Family net income per month in New Israeli Shekel 0 No income 2250 4.500 ILS and less, net 5000 4.500-5.500 ILS 6000 5.500-6.500 ILS 7000 6.500-7.500 ILS 8000 7.500-8.500 ILS 9500 8.500-10.500 ILS 12000 10.500-13.500 ILS 14500 13.500-15.500 ILS 17750 15.500-20.000 ILS 22000 More than 20.000 ILS 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Midpoints of the income classes are coded.
Range of Valid Data Values:
2250-
22000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1005
; Min.
2250
; Max.
22000
Variable Format:
numeric |
JP_INC:
Family income: Japan
|
|---|
Location:
Width:
6
| Question:
JP_INC - Japan: Family income How much income did your household earn last year, inclusive income of tax, casual and part-time income? 0 No income 1000 Less than 2.000.000 JPY per year 2500 2.000.000-2.999.999 JPY 3500 3.000.000-3.999.999 JPY 4500 4.000.000-4.999.999 JPY 5500 5.000.000-5.999.999 JPY 6500 6.000.000-6.999.999 JPY 7500 7.000.000-7.999.999 JPY 8500 8.000.000-8.999.999 JPY 9500 9.000.000-9.999.999 JPY 11000 10.000.000-11.999.999 JPY 13500 12.000.000-14.999.999 JPY 20000 15.000.000 JPY and more per year 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Yearly income in thousand Japanese Yen; midpoints of the income classes.
Range of Valid Data Values:
1000-
20000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1103
; Min.
1000
; Max.
20000
Variable Format:
numeric |
KR_INC:
Family income: South Korea
|
|---|
Location:
Width:
6
| Question:
KR_INC - South Korea: Family income Before taxes and other deductions, what is the total average monthly income of your household? This includes all sources of income (e.g. work income, interest or dividends, property income, rent, pensions, welfare support, or the money personally provided by somebody) from all household members including yourself. 0 No income 5 50.000 KRW 5160 51.600.000 KRW 999990 NAP, other countries 999998 Don't know 999999 No answer Note: Monthly average actual amount of income in 10.000 Korean Won
Range of Valid Data Values:
5-
5160 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1366
; Min.
5
; Max.
5160
Variable Format:
numeric |
LV_INC:
Family income: Latvia
|
|---|
Location:
Width:
6
| Question:
LV_INC - Latvia: Family income What was your family income after deductions last month including all incomes - salaries, stipends, benefits, pensions, rent for you ownership etc.? 0 No income 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Actual continuous income values in Latvian Lats are coded.
Range of Valid Data Values:
10-
21000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
701
; Min.
10
; Max.
21000
Variable Format:
numeric |
MX_INC:
Family income: Mexico
|
|---|
Location:
Width:
6
| Question:
MX_INC - Mexico: Family income Monthly net income in Mexican Pesos 0 No income 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer
Range of Valid Data Values:
700-
120000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
869
; Min.
700
; Max.
120000
Variable Format:
numeric |
NO_INC:
Family income: Norway
|
|---|
Location:
Width:
6
| Question:
NO_INC - Norway: Family income About how large is your household’s yearly gross income? Include pensions, social security benefits, incidental earnings or similar. Round to nearest 1000 Norwegian kroner. 0 No income 5 5.000 NOK 30000 30.000.000 NOK 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Actual continous yearly income values in 1000 Norwegian Kroner
Range of Valid Data Values:
5-
30000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1014
; Min.
5
; Max.
30000
Variable Format:
numeric |
NZ_INC:
Family income: New Zealand
|
|---|
Location:
Width:
6
| Question:
NZ_INC - New Zealand: Family income Which of the following categories best describes the total yearly income of everyone in your household from all sources before tax? 0 No income 7500 5.000-15.000 NZD per year 17500 15.000-20.000 NZD 25000 20.000-30.000 NZD 35000 30.000-40.000 NZD 45000 40.000-50.000 NZD 55000 50.000-60.000 NZD 65000 60.000-70.000 NZD 75000 70.000-80.000 NZD 90000 80.000-100.000 NZD 120000 More than 100.000 NZD 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: When income categories were converted to average values, if the average value for household income was less than the average value for individual income in a single person household (as a result of the recoding process), the two values were made the same (equal to individual income), and then increased if necessary to equal the nearest average value (except for $12.500 which was set to $7.500, the mean of the lowest household income category).
Range of Valid Data Values:
7500-
120000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
899
; Min.
7500
; Max.
120000
Variable Format:
numeric |
PH_INC:
Family income: Philippines
|
|---|
Location:
Width:
6
| Question:
PH_INC - Philippines: Family income About how much is the total monthly income of your family? Exact amount of income in Philippines Pesos. 0 No income 200 200 PHP 100000 100.000 PHP 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Actual amount of income in Philippines Pesos.
Range of Valid Data Values:
200-
100000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1116
; Min.
200
; Max.
100000
Variable Format:
numeric |
PL_INC:
Family income: Poland
|
|---|
Location:
Width:
6
| Question:
PL_INC - Poland: Family income Taking into consideration last 12 months, please tell me your household total monthly income from all sources. Please calculate and tell me the monthly average after taxes. 0 No income 150 150 PLN 20000 20.000 PLN 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Actual continuous income values in Polish Zloty (PLN)
Range of Valid Data Values:
150-
20000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1161
; Min.
150
; Max.
20000
Variable Format:
numeric |
RU_INC:
Family income: Russia
|
|---|
Location:
Width:
6
| Question:
RU_INC - Russia: Family income What was the total income last month from all sources for all family members? 0 No income 1000 1.000 RUB 200000 200.000 RUB 999990 NAP, other countries 999998 Don't know 999999 No answer Note: Actual continuous income values n Russian Roubles.
Range of Valid Data Values:
1000-
200000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1902
; Min.
1000
; Max.
200000
Variable Format:
numeric |
SE_INC:
Family income: Sweden
|
|---|
Location:
Width:
6
| Question:
SE_INC - Sweden: Family Income What is your approximate monthly income before taxes? 0 No income 1000 1.000 SEK 499000 499.000 SEK 999990 NAP, other countries 999998 Don't know 999999 No answer Note: Actual continuous income values in Swedish Crowns.
Range of Valid Data Values:
1000-
499000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1122
; Min.
1000
; Max.
499000
Variable Format:
numeric |
SI_INC:
Family income: Slovenia
|
|---|
Location:
Width:
6
| Question:
SI_INC - Slovenia: Family income What was last regular monthly income of all family members (after tax deduction, obligatory social security payment and other deductions)? Calculate all kinds of incomes: personal income, pension, scholarship, income from trade, farming ... Exact monthly net income in (thousand) Slovenian Tolar 0 No income 40 40.000 SIT 996 996.000 SIT and more 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer Note: Exact monthly net income in thousand Slovenian Tolar
Range of Valid Data Values:
40-
996 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
517
; Min.
40
; Max.
996
Variable Format:
numeric |
SK_INC:
Family income: Slovak Republic
|
|---|
Location:
Width:
6
| Question:
SK_INC - Slovakia: Family income Now we would like to ask about the income of your household. (Under household we mean a shared household of spouses or partners, who live alone, with children, with parents as well as households of singles living alone). Please, what is the average total net income of all household members per month including wages, pensions, scholarships and all other working or non-working incomes? From the following list, choose the option that mostly represents the size of the net income of your household. 2300 Up to 4.600 SKK 6200 4.601-7.800 SKK 8900 7.801-10.000 SKK 12500 10.001-15.000 SKK 17500 15.001-20.000 SKK 22500 20.001-25.000 SKK 27500 25.001-30.000 SKK 35000 30.001-40.000 SKK 45000 40.001-50.000 SKK 57500 50.001-65.000 SKK 72500 65.001 SKK and more 999990 NAP, other countries 999998 Don't know 999999 No answer Note: Midpoints of the income categories in Slovak Crowns.
Range of Valid Data Values:
2300-
72500 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
918
; Min.
2300
; Max.
72500
Variable Format:
numeric |
TW_INC:
Family income: Taiwan
|
|---|
Location:
Width:
7
| Question:
TW_INC - Taiwan: Family income What is your average monthly household income, including incomes from work and other resources (such as rent, bonus, pension and interest)? 0 No income 5000 Less than 10.000 TWD 15000 10.001-20.000 TWD 25000 20.001-30.000 TWD 35000 30.001-40.000 TWD 45000 40.001-50.000 TWD 55000 50.001-60.000 TWD 65000 60.001-70.000 TWD 75000 70.001-80.000 TWD 85000 80.001-90.000 TWD 95000 90.001-100.000 TWD 105000 100.001-110.000 TWD 115000 110.001-120.000 TWD 125000 120.001-130.000 TWD 135000 130.001-140.000 TWD 145000 140.001-150.000 TWD 155000 150.001-160.000 TWD 165000 160.001-170.000 TWD 175000 170.001-180.000 TWD 185000 180.001-190.000 TWD 195000 190.001-200.000 TWD 250000 200.001-300.000 TWD 350000 300.001-400.000 TWD 450000 400.001-500.000 TWD 750000 500.001-1.000.000 TWD 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer 1500000 More than 1.000.000 TWD Note: Average monthly income in Taiwanese Dollar; midpoints of the income categories were coded.
Range of Valid Data Values:
5000-
1500000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1975
; Min.
5000
; Max.
1500000
Variable Format:
numeric |
US_INC:
Family income: USA
|
|---|
Location:
Width:
6
| Question:
US_INC - United States: Family income In which of these groups did your total family income, from all sources, fall last year--2006--before taxes, that is. Just tell me the letter. Total income includes interest or dividends, rent, Social Security, other pensions, alimony or child support, unemployment, compensation, public aid (welfare), armed forces or veteran's allotment. 500 Less than 1.000 USD per year 2000 1.000-2.999 USD 3500 3.000-3.999 USD 4500 4.000-4.999 USD 5500 5.000-5.999 USD 6500 6.000-6.999 USD 7500 7.000-7.999 USD 9000 8.000-9.999 USD 11250 10.000-12.499 USD 13750 12.500-14.999 USD 16750 15.000-17.499 USD 18750 17.500-19.999 USD 21750 20.000-22.499 USD 23750 22.500-24.999 USD 27500 25.000-29.999 USD 32500 30.000-34.999 USD 37500 35.000-39.999 USD 45000 40.000-49.999 USD 55000 50.000-59.999 USD 67500 60.000-74.999 USD 82500 75.000-89.999 USD 100000 90.000-109.999 USD 120000 110.000-129.999 USD 140000 130.000-149.999 USD 150000 150.000 USD or more 999990 NAP, other countries 999997 Refused 999998 Don't know Note: Yearly family income before taxes in US Dollar; midpoints of the income categories were coded.
Range of Valid Data Values:
500-
150000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1406
; Min.
500
; Max.
150000
Variable Format:
numeric |
UY_INC:
Family income: Uruguay
|
|---|
Location:
Width:
6
| Question:
UY_INC - Uruguay: Family income Looking at the card, could you please tell me the number that corresponds to your gross monthly household income, after tax or other deductions, of all members and from all sources? Please include any pensions and allowances, and income from interests or dividends, as well as help from family and friends, rents and others. 0 No income 800 800 UYP 100000 100.000 UYP 999990 NAP, other countries 999997 Refused 999998 Don't know 999999 No answer
Range of Valid Data Values:
800-
100000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
1343
; Min.
800
; Max.
100000
Variable Format:
numeric |
ZA_INC:
Family income: South Africa
|
|---|
Location:
Width:
6
| Question:
ZA_INC - South Africa: Family income Please give me the letter that best describes the TOTAL MONTHLY HOUSEHOLD INCOME of all the people in your household before tax and other deductions. Please indicate all sources of income, i.e. salaries, pensions, income from investments, etc. 0 No income 250 500 ZAR and less per month 625 501-750 ZAR 875 751-1.000 ZAR 1250 1.001-1.500 ZAR 1750 1.501-2.000 ZAR 2500 2.001-3.000 ZAR 4000 3.001-5.000 ZAR 6250 5.001-7.500 ZAR 8750 7.501-10.000 ZAR 12500 10.001-15.000 ZAR 17500 15.001-20.000 ZAR 25000 20.001-30.000 ZAR 40000 30.001-50.000 ZAR 60000 50.001 ZAR and more 999990 NAP, other countries 999997 Refuse to answer 999998 Uncertain or don't know 999999 No answer Note: Monthly income before tax in Rand; midpoints of the income classes were coded.
Range of Valid Data Values:
250-
60000 Range of Invalid Data Values:
999990-
9999990 Summary Statistics:
Valid
2181
; Min.
250
; Max.
60000
Variable Format:
numeric |
HOMPOP:
How many persons in household
|
|---|
Location:
Width:
2
| Question:
Size of household: Total number of persons living in household AU HR IL JP NO NZ SE SI: How many persons live in altogether in your household (house), including yourself? FI: How many people live in your household? CH: How many persons constantly are living in your household, including yourself? CL: How many people live in your home? Please include babies, children and adults. Do not include domestic helpers. CZ: How many members including yourself are there in your household? As household we understand individuals residing in one apartment or family house, who together financially manage the household. DE: Apart from yourself, there are (number) of people living in your household? Please count toddlers or people who normally live there, but are currently absent, e.g. in hospital/on holiday. DO: How many people between 12 and 17 years old live permanently in this household? How many children under 12 years of age live permanently in this household? FR: Age and sex of every person of the household (constructed). GB: Thinking now of everyone living in the household, including children. Including yourself, how many people live here regularly as members of this household? IE: How many people aged 18 or more live in your household? How many people aged 17 or under? KR: How many family members, including yourself, presently reside in your home? Do not include those who are temporarily living elsewhere due to schooling, employment and military service. LV: How many adults live in your family (18 years old and older)? How many children less than 18 years live in your family? PH: This question is not asked. The number of persons in household including servants, transients, boarders is taken over from the Census of Household. PL: The information about all persons living in respondents household is derived from the PGSS Household Members Card, collected by interviewer before the interview. The number of persons in household comes from the total number of completed fields concerning a particular household member. RU: How many people, who are members of your family, incl. yourself and children of any age, live together with you? TW: Including yourself, how many people live in your residence, (including maids)? US: Information taken from the list of household members with each person's age. UY: How many persons do live permanently in this household? Do not forget include baby, children and adults. Do not include maids and other domestic helpers. ZA: Please list all persons in the household who eat from the same cooking pot and were resident 15 out of the past 30 days. Information derived from the household roster. 1 1 person 2 2 persons 3 3 persons 4 4 persons 5 5 persons 6 6 persons 7 7 persons 8 8 persons 9 9 persons 10 10 persons 11 11 persons 12 12 persons 13 13 persons 14 14 persons 15 15 persons 16 16 persons 17 17 persons 18 18 persons 20 20 persons 21 21 persons 28 28 persons 99 No answer, refused in Finland (FI): 5 5 persons or more in Sweden (SE): 8 8 persons or more
Range of Valid Data Values:
1-
28 Range of Invalid Data Values:
099 Summary Statistics:
Valid
49301
; Min.
1
; Max.
28
Variable Format:
numeric |
HHCYCLE:
Household composition:children+adults
|
|---|
Location:
Width:
2
| Question:
Household cycle - Household composition AU: Thinking about the people other than yourself who live in your house, please tell us how old each person is and cross the option that describes your relationship with each of them. CH: Constructed from three new created variables: 'Number of children from the respondent that live in the household', 'Number of children from the partner living in household' and 'Total number of children living in household'. CL: Constructed from 'Number of adults 18 years and older' and 'Number of babies and children up to 18 years living permanently in household'. Exclude domestic helpers. CZ: Constructed from two variables: 'Number of members in household, including R' and 'Number of dependent children up to 18 years in the common household'. DE: Composition of household constructed from detailed household list with sex and age of each household member. FI: How many people live in your household? Number of adults aged 18 and over in household; number of children aged 7 to 17 years; number of children aged under 7 years; year of birth of children aged under 18 living in household. FR: Constructed from the information of the household list. GB: Derived from the Household Grid, which contains the ages of all people in the household. HR: Household structure: number of adults and children (younger than 18 years); number of household member in each age group. HU: Year of birth of all family members. Persons older than 18 years are considered as adults, persons up to 18 years as children. IE: How many people aged 18 or more live in your household? How many people aged 17 or under? JP: How many persons live in your household, including yourself? How many people living in household aged 17 or less? KR: Please include all family members who are living in your home, or who are temporarily living somewhere else, or those who are not your family members but are living in your home. Constructed from the household list: number, age and relationship of family members residing at home. LV: How many adults 18 years and older live in your family? How many children less than 18 years live in your family? NO: How are the household members distributed on age groups: number of children 0-2 years, 3-5 years, 6-12 years, 13-17 years, number of persons 18 years or more including yourself? NZ: Derived from HOMPOP and additional questions 'How many children under age of 18 are in your household?' and 'Number of adults in household'. PH: Household composition based on Census of Household part: adults and children (less than 18 years), excluding servants, transients, boarders. PL: Derived from the PGSS 'Household Members Card' collected by interviewer before the interview with information about all persons living in the household. Combination of household members grouped according to their age. SE: How many persons are there in your household (count yourself also!)? How many persons in your household are between 7 and 17 years? How many persons in your household are below 7 years? SI: Computed from 'All persons in household', 'Number of persons aged 18 and over', 'Number of children aged 6 to 17 years', 'Number of children under 6 years in household'. US: Information of the household list: four variables to construct HHCYCLE: household members less than 6 years old, household members 6 thru 12 years old, household members 13 thru 17 years old, sum of babies, preteens and teens and household members 18 years and older. UY: Constructed from 'Number of adults aged 18 years and more' and 'Number of people under 18 years living permanently in household four or more days a week not including maids and other domestic helpers'. ZA: Information derived from the household roster, by first identifying the adults 18 years and more and then children 17 years and less. 1 Single household 2 1 adult, 1 child 3 1 adult, 2 children 4 1 adult, 3 or more children 5 2 adults 6 2 adults, 1 child 7 2 adults, 2 children 8 2 adults, 3 or more children 9 3 adults 10 3 adults and children 11 4 adults 12 4 adults and children 13 5 adults 14 5 adults and children 15 6 adults 16 6 adults and children 17 7 adults 18 7 adults and children 19 8 adults 20 8 adults and children 21 9 adults 22 9 adults and children 23 10 adults 24 10 adults and children 25 11 adults 26 11 adults and children 27 12 adults 28 12 adults and children 95 Other 99 No answer, refused in Taiwan (TW): 0 Not available
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
099 Summary Statistics:
Valid
46580
; Min.
1
; Max.
95
Variable Format:
numeric |
PARTY_LR:
R: Party affiliation: left-right (derived)
|
|---|
Location:
Width:
1
| Question:
Political party affiliation: coded in a left/right scheme AT AU CH CZ FI HR JP LV NO PL SE ZA: Derived from nat_PRTY (see AU_PRTY to ZA_PRTY) DO: If you had to classify the political party you sympathize in one of the following political orientation, you would say: IE: People often use the term ‘right wing’ or ‘left wing’ in describing political opinions. Where would you put yourself on this scale? KR: To what degree do you think yourself politically liberal or conservative? MX: The political party that you sympathizes with, in which ideological orientation would you locate it? NZ: Where on the following scale would you say your political views lie? (5 point scale) PH: In politics, there are instances when ‘left’ and ‘right’ are mentioned by people. Where will you put yourself among the following? RU: Which party do you sympathize with? SI: In politics people often talk about left and right. Where would you put yourself, on scale 0 to 10, if 0 means left and 10 means right. (10 point scale converted into standard scale) US: The US recode considers both: the party affiliation AND the subjective intensity. UY: As you might know, people in this country describe political orientations as more closely to the left, to the center or to the right. Could you please tell with which of the following positions do you identify the most? (7 point scale recoded). 0 NAP, not eligible, did not vote 1 Far left etc 2 Left, center left 3 Center, liberal 4 Right, conservative 5 Far right etc 6 Other, no specification 7 No party, no preference 8 Don't know 9 No answer, refused in Austria (AT): 0 Did not vote in Chile (CL): 0 Not available in Israel (IL): 0 Not available in Taiwan (TW): 0 Not available
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
7-
90 Summary Statistics:
Valid
25282
; Min.
1
; Max.
6
Variable Format:
numeric |
AR_PRTY:
R: Party affiliation: Argentina
|
|---|
Location:
Width:
2
| Question:
AR_PRTY - Argentina: Party affiliation Do you clearly remember for which candidate you voted in the first turn of the 2003 presidential elections - the only one that took place, because Menem won the first turn but he withdrew from the second turn? 0 NAP, other countries 1 Peronism (all fractions) 2 Radical Civic Union, UCR 3 Socialist 4 Republican Proposal, PRO 5 Affirmation for an Egalitarian Republic, ARI 6 Regional Party, center, center-right 92 Other, center, center-right 93 Other, left 95 Other Party
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
1657
; Min.
1
; Max.
95
Variable Format:
numeric |
AT_PRTY:
R: Party affiliation: Austria (vote last election)
|
|---|
Location:
Width:
2
| Question:
AT_PRTY - Austria: Party affiliation Which party did you vote for at the last national elections, September, 28, 2008? 0 NAP, other countries 1 OEVP - Austrian People's Party 2 SPOE - Austrian Social Democratic Party 3 FPOE - Austrian Freedom Party 4 GRUENE - Green Party 5 BZOE - Confederation for the Future of Austria 6 Liberales Forum - Liberal Forum 95 Other party 96 Did not vote, not eligible 97 Refused 98 Don't remember 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
683
; Min.
1
; Max.
95
Variable Format:
numeric |
AU_PRTY:
R: Party affiliation: Australia
|
|---|
Location:
Width:
2
| Question:
AU_PRTY - Australia: Party affiliation Generally speaking, do you usually think of yourself as Labour, Liberal, National or what? 0 NAP, other countries 1 Liberal Party 2 Labour Party (ALP) 3 National Party 4 Australian Democrats 5 Greens 6 One nation 7 Family First 95 Other Party 96 No party preference 97 Refused 98 Don't know 99 No answer Note: Other party was coded: Christian Democratic Party, Shining Path Party, Shooters Party, United Party
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
2171
; Min.
1
; Max.
95
Variable Format:
numeric |
BG_PRTY:
R: Party affiliation: Bulgaria
|
|---|
Location:
Width:
2
| Question:
BG_PRTY - Bulgaria: Party affiliation 0 NAP, other countries 1 Sajuz Balgarija 2 Napred Balgarija 3 Coalicia za Bulgaria 6 NDSV Simeon II 7 Dostonia Bulgaria 8 DSB 9 Da jivei Bulgaria! 10 Evroroma 11 Coalicia na rozata 12 BNS-SSD, VMRO, NS 13 Novoto vreme 14 Ataka 17 DPS 18 Bulgarska Hirsianska 19 ODS,SDS,BZNS NS,DROM 20 Nikola Petka 95 Other Party 96 Would not vote 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
533
; Min.
1
; Max.
20
Variable Format:
numeric |
CH_PRTY:
R: Party affiliation: Switzerland
|
|---|
Location:
Width:
2
| Question:
CH_PRTY - Switzerland: Party affiliation Is there a party to which you feel closer than to the other parties? Which party is it? 0 NAP, other countries 1 Christian Democratic Party - CVP 2 Evangelical Peoples Party - EVP 3 Radical Democratic Party 4 Social Democratic Party - SPS 5 Swiss Peoples Party - SVP 6 Independent Party 7 Liberal Party - LPS 8 Labour Party - PdA 9 Swiss Democrats - SD 10 Green Party - GPS 11 Freedom Party 95 Other Party 96 No party preference 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
575
; Min.
1
; Max.
95
Variable Format:
numeric |
CL_PRTY:
R: Party affiliation: Chile
|
|---|
Location:
Width:
2
| Question:
CL_PRTY - Republic Chile: Party affiliation From the following political parties included in this card, with which one do you identify or sympathized more? 0 NAP, other countries 1 Christian Democratic Party - PDC 2 Independent Democratic Union - UDI 3 Communist Party of Chile - PCCH 4 National Renewal Party - RN 5 Chilean Socialist Party - PS 6 Radical Social Democratic Party - PRSD 7 Party for Democracy - PPD 8 Humanist Party - PH 95 Other Party 96 Would not vote, no party preference 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
690
; Min.
1
; Max.
95
Variable Format:
numeric |
CY_PRTY:
R: Party affiliation: Cyprus
|
|---|
Location:
Width:
2
| Question:
CY_PRTY - Republic Cyprus: Party affiliation In general, what political party would you say is closer to your perceptions? 0 NAP, other countries 1 Progressive Labour Party - AKEL 2 Socialist Party - EDEK 3 Ecologists - Ecogreen 4 Free Democrats - EDH 5 Democratic Party - DHKO 6 Democratic Renewal Party - ADHK 7 New Horizons 8 European Democracy 9 Democratic Alert - DHSY 95 Other Party 96 No one, none 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
896
; Min.
1
; Max.
9
Variable Format:
numeric |
CZ_PRTY:
R: Party affiliation: Czech Republic
|
|---|
Location:
Width:
2
| Question:
CZ_PRTY - Czech Republic: Party affiliation Which political party would you vote for if elections to the Chamber of deputies were held next week? 0 NAP, other countries 6 CSSD-Czech Social Democratic Party 12 KSCM-Communist Party of Bohemia and Moravia Party 15 KDU-CSL Christian Democratic Party-Czechoslovak People's Party 20 Independents Party 22 ODS-Civic Democratic Party 26 ROI-Roma Civic Initiative Party 27 SNK-European Democrats Party 30 SZ-Green Party 96 Would not vote, no preference 99 NA, refused
Range of Valid Data Values:
1-
96 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
808
; Min.
6
; Max.
96
Variable Format:
numeric |
DE_PRTY:
R: Party affiliation: Germany
|
|---|
Location:
Width:
2
| Question:
DE_PRTY - Germany: Party affiliation If there was a general election next Sunday, which party would you vote for with your second vote ('Zweitstimme')? 0 NAP, not eligible, other countries 1 Christian Democratic Union/Christian Social Union - CDU/CSU 2 Social Democratic Party of Germany - SPD 3 Free Democratic Party - FDP 4 Alliance 90/The Greens - Buendnis 90/Gruene 5 The Republicans - REP 6 Party of Democratic Socialism - PDS/Linke Liste 7 National-Democratic Party of Germany - NPD 95 Other Party 96 Would not vote 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
1208
; Min.
1
; Max.
95
Variable Format:
numeric |
DO_PRTY:
R: Party affiliation: Dominican Republic
|
|---|
Location:
Width:
2
| Question:
DO_PRTY - Dominican Republic: Party affiliation Would you consider yourself a member or supporter of a political Party in the Dominican Republic? Of which political party are you a member or supporter? 0 NAP, other countries 1 Revolutionary Dominican Party - PRD 2 Dominican Liberation Party - PLD 3 Christian Socialist Party - PRSC 95 Other party 96 No party preference 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
96 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1217
; Min.
1
; Max.
95
Variable Format:
numeric |
FI_PRTY:
R: Party affiliation: Finland
|
|---|
Location:
Width:
2
| Question:
FI_PRTY - Finland: Party affiliation If the parliamentary elections were held right now, the candidate of which political party or group would you vote for? 0 NAP, other countries 1 Social Democratic Party - SDP 2 Centre Party of Finland - KESK 3 National Coalition Party - KOK 4 Left Alliance - VAS 5 Swedish Peoples Party - SFP/RKP 6 Green League - VIHR 7 Christian League - KD 8 True Finns - PS 95 Other Party 96 Would not vote 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
835
; Min.
1
; Max.
95
Variable Format:
numeric |
FLA_PRTY:
R: Party affiliation: Flanders
|
|---|
Location:
Width:
2
| Question:
FLA_PRTY - Flanders: Party affiliation Suppose that there would be elections on next Sunday, for which political party would you vote? 0 NAP. other countries 1 Cartel CD+V/N-VA - Christian Democrats- National Flemish Alliance 2 Cartel SPa/ Spirit - Socialist Party 3 Open VLD- Liberal Party 4 Groen - Green Party 5 Vlaams Belang - Extreme right wing Party 6 Lijst Dedecker - Liberal Party 10 PVDA/CAP - Left party 11 CDH - Christian Democrats Wallonia 93 Vote for a certain person, not for a party 95 Other party 96 Would not vote 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
1066
; Min.
1
; Max.
95
Variable Format:
numeric |
FR_PRTY:
R: Party affiliation: France
|
|---|
Location:
Width:
2
| Question:
FR_PRTY - France: Party affiliation Can you say to me of which party or political movement you feel the closest or at least the least far away? 0 NAP, other countries 1 Communist Party - PCF 2 Far left - LO-LCR/PT 3 Socialist Party - PS 4 Green, Ecologists - VERTS 5 Liberal - UDF 6 Conservative - RPR 7 National Front - FN 95 Other Party 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
1385
; Min.
1
; Max.
95
Variable Format:
numeric |
GB_PRTY:
R: Party affiliation: Great Britain
|
|---|
Location:
Width:
2
| Question:
GB_PRTY - Great Britain: Party affiliation (If R supports a party or is closer to one party than others) Which one? (If R is no closer to one party than others) If there were a general election tomorrow, which political party do you think you would be most likely to support? 0 NAP, other countries 1 Conservative Party - CONS 2 Labour Party - LAB 3 Liberal Democrats - SLD 6 Scottish National Party - SNP 7 Plaid Cymru - PC 8 Green Party 93 Other answer 95 Other Party 96 Would not vote; no party preference 97 Refused 98 Don't know
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
691
; Min.
1
; Max.
95
Variable Format:
numeric |
HR_PRTY:
R: Party affiliation: Croatia
|
|---|
Location:
Width:
2
| Question:
HR_PRTY - Croatia: Party affiliation Which political party do you prefer? 0 NAP, other countries 1 HDZ - Croatian Democratic Union (Conservative) 2 SDP - Social Democratic Party (Social-Democratic) 3 HSP - Croatian Party of Rights (Right, Conservative) 4 HSS - Croatian Peasant Party (Center) 5 HNS - Croatian People's Party - Liberal Democrats (Center) 6 HSLS - Croatian Social Liberal Party (Liberal) 7 IDS - Istrian Democratic Assembly (Regional) 8 HSU - Croatian Party of Pensioners (Party of retired persons) 95 Other Party 96 No party, no preference 97 Refused 98 Don't know
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
429
; Min.
1
; Max.
95
Variable Format:
numeric |
HU_PRTY:
R: Party affiliation: Hungary
|
|---|
Location:
Width:
2
| Question:
HU_PRTY - Hungary: Party affiliation If there was a Parliamentary Election at the moment, which party would you vote for? 0 NAP, other countries 1 HDF-Hungarian Democratic Forum 2 FFD-Free Democrats 4 HSP-Hungarian Socialist Party 5 FYD-Federation of Young Democrats 6 CDPP-Christian Democratic Peoples Party 7 WP-Workers Party 8 HTJP-Hungarinan Truth 95 Other Party 96 Would not vote 97 Refused 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
578
; Min.
1
; Max.
95
Variable Format:
numeric |
IE_PRTY:
R: Party affiliation: Ireland
|
|---|
Location:
Width:
2
| Question:
IE_PRTY - Ireland: Party affiliation Do you feel closer to one of the political parties than to the others? If yes: which party is that? 0 NAP, other countries 1 Fianna Fail-Soldiers of Destiny/The Republican Party - FF 2 Fine Gael-Tribe of the Gaels/Family of the Irish - FG 3 Irish Labour Party - LAB 4 Progressive Democrats - PD 5 Green Party - GP 7 Sinn Fein-We ourselves - SF 95 Other Party 96 No party preference
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
648
; Min.
1
; Max.
95
Variable Format:
numeric |
IL_PRTY:
R: Party affiliation: Israel
|
|---|
Location:
Width:
2
| Question:
IL_PRTY - Israel: Party affiliation 0 NAP, other countries 1 Haavoda 2 Likud 3 Kadima 4 Shase 5 Meretz 6 Mafdal 7 Yahadut-hatora 8 Gimlaim 9 Israel Beteno 10 Haadash 11 Balad 12 Raam, Taal 14 Shinuy 15 ale yarok 16 Hayerukim 17 Other party 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
96 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
885
; Min.
1
; Max.
95
Variable Format:
numeric |
JP_PRTY:
R: Party affiliation: Japan
|
|---|
Location:
Width:
2
| Question:
JP_PRTY - Japan: Party affiliation Which party do you usually support? 0 NAP, other countries 1 Liberal Democratic Party LDP 2 The Democratic Party of Japan - DPJ 3 Liberal Party 4 New Komeito - New Clean Government Party 5 Japanese Communist Party - JCP 6 Social Democratic Party - SDPJ 95 Other Party 96 No party preference 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
673
; Min.
1
; Max.
95
Variable Format:
numeric |
KR_PRTY:
R: Party affiliation: South Korea
|
|---|
Location:
Width:
2
| Question:
KR_PRTY - South Korea: Party affiliation Currently which political party do you support most? If you do not actively support any party, is there a party you usually feel favourable toward? 0 NAP, other countries 1 People First Party 2 Democratic Labor Party 3 Uri Party 4 Democratic Party 5 Grand National Party 95 Other Parties 96 No party affiliation 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
1153
; Min.
1
; Max.
95
Variable Format:
numeric |
LV_PRTY:
R: Party affiliation: Latvia
|
|---|
Location:
Width:
2
| Question:
LV_PRTY - Latvia: Party affiliation Which political party do you agree with most often? 0 NAP, other countries 1 Mâras zeme 2 Saskanas centrs - Harmony centre 3 Political Union 'Motherland', 'Dzimtene' 4 Party 'All for Latvia', 'Visu Latvijai' 5 Organisation For Human Rights in United Latvia 6 Political organization (party), 'Euro-sceptics' 7 Political organisation 'Green and Farmer union' 8 Party 'Our Land' 9 Union 'Latvias First Party' and 'Latvias Way' 10 Latvian Social Democratic Workers Party (LSDSP) 11 Party 'Tevzemes savieniba' 12 National Force Unions 13 New Democrats 14 The Peoples Party 15 Jaunais laiks 16 Political organisation 'Latviesu Latvija' 17 Political organization 'Party of Pensioners and Seniors' 18 Party of Social Justice 19 Alliance 'Tevzemei un Brivibai'/ LNNK 95 Other party 96 No party preference 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
252
; Min.
2
; Max.
95
Variable Format:
numeric |
MX_PRTY:
R: Party affiliation: Mexico
|
|---|
Location:
Width:
2
| Question:
MX_PRTY - Mexico: Party affiliation Which political party do you sympathize with? 0 NAP, other countries 1 National Action Party - PAN 2 Institutional Revolutionary Party - PRI 3 PRD Democratic Revolution Party - PRD 4 Labour Party - PT 5 PVEM Environmentalist Green Party - PVEM 6 Convergencia 7 Social Democratic Party - PASC 8 New Alliance Party - PANAL 95 Other Party 96 No party preference 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
837
; Min.
1
; Max.
95
Variable Format:
numeric |
NO_PRTY:
R: Party affiliation: Norway
|
|---|
Location:
Width:
2
| Question:
NO_PRTY - Norway: Party affiliation Which party would you vote for in the national election if it was held tomorrow? 0 NAP, other countries 1 Red Electoral Alliance 2 Labour Party - DNA 3 Progress Party - FRP 4 Conservative Party - H 5 Christian Democratic Party - KrF 6 Centre party - SP 7 Socialist Left - SV 8 Liberal Party - V 95 Other Party 96 Would not vote 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
858
; Min.
1
; Max.
95
Variable Format:
numeric |
NZ_PRTY:
R: Party affiliation: New Zealand
|
|---|
Location:
Width:
2
| Question:
NZ_PRTY - New Zealand: Party affiliation At the 2005 General Election, who did you vote for? 0 NAP, other countries 1 Association of Consumers and Taxpayers - ACT 2 Alliance 3 Green Party 4 New Zealand Labour Party - NZLP 5 National Party - NP 6 New Zealand First Party - NZFP 7 Progressive Coalition 8 United Future - UF 9 Maori Party 95 Other party 96 Did not vote/ not eligible 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
829
; Min.
1
; Max.
95
Variable Format:
numeric |
PH_PRTY:
R: Party affiliation: Philippines
|
|---|
Location:
Width:
2
| Question:
PH_PRTY - Philippines: Party affiliation What political party do you favour? 0 NAP, other countries 1 NATIONALISTA 3 OPOSISYON/OPPOSITION 4 LIBERAL PARTY 5 KAMPI 6 INDEPENDENT 8 PARTIDO NINA TRILLANES AT ESCUDERO 9 TEAM UNITY 10 ADMINISTRATION 13 PARTIDO NI ERAP 14 AKBAYAN 15 FPJ PM - FERNANDO POE JR. - PARTIDONG MASA 19 LAKAS-NUCD-CMD 24 BUHAY 28 CIBAC 29 MASANG PILIPINO 30 ANAKBAYAN 31 BAYAN MUNA 33 LABAN 36 LAKAS 38 LACSON 39 BOPK - BANDO OSMEÑA PUNDOK KAUSWAGAN 41 KABABAIHAN 46 PARTIDO NI MAYOR CONSTANTINO 47 RIGHTESS 48 NEUTRAL 49 ANAK PAWIS 50 NPC-NATIONAL PEOPLE COALITION 51 OMPIA PARTY 52 UMMAH PARTY 53 PARTIDO NI CORY AQUINO 54 LABAN SA PARTIDO NI GLORIA 55 LABAN NG DEMOKRATIKONG PILIPINO 56 PARTIDO NI JUN LOZADA 57 PARTIDO NI SILVERIO 58 AMANTE 59 POVERTY 60 PARTIDO NI GOV.MIGS DOMINGUEZ (SARANGGANI) 61 PARTIDO NI MAYOR AGUILA 62 DUTERTE PARA SA MASA 63 SAMAHANG WARAY 64 KILUSAN NG MASANG PILIPINO 65 CHRISTIAN MUSLIM DEMOCRATIC FEDERATION 66 THE TEACHER 95 Other party 96 None 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
266
; Min.
1
; Max.
66
Variable Format:
numeric |
PL_PRTY:
R: Party affiliation: Poland
|
|---|
Location:
Width:
2
| Question:
PL_PRTY - Poland: Party affiliation Which party or organization did you vote in parliamentary election on the 21 X 2007? 0 NAP, other countries 1 LPR League of Polish Families 2 LiD Left and Democrats 3 MN German Minority 4 Womens Party 5 PO Civic Platform of Republic of Poland 6 PPP Polish Labor Party 7 PSL Polish Peasants Party 8 PiS Law and Justice Party 9 Patriotic Self-Defense 10 Self-Defense of the Republic of Poland 95 Other party 97 Refused 98 Don't know 99 No answer, did not vote
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
817
; Min.
1
; Max.
95
Variable Format:
numeric |
RU_PRTY:
R: Party affiliation: Russia
|
|---|
Location:
Width:
2
| Question:
RU_PRTY - Russia: Party affiliation Which party did you vote for at the last election? 0 NAP, other countries 1 Pensioners Party/ Party of Social Justice 2 Union of right forces 3 Yabloko 4 Russian Ecological Party ´Green´ (Panfilov A.) 5 Country Party of Russia (Lapshin M.) 7 Party of Revival/ Russian Party of Life (Seleznev G./ Miro) 8 Motherland (Glazyev S.) 9 Liberal Democratic Party of Russia (Ghirinovsky V.) 10 United Russia (Gryzlov B.) 11 Communist Party of Russian Federation (Zyuganov G.) 95 Other Party 96 Against all/ threw out/ damaged voting paper 97 Refused 98 Don't know, don't remember if I voted 99 No answer, did not vote
Range of Valid Data Values:
1-
96 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
946
; Min.
1
; Max.
96
Variable Format:
numeric |
SE_PRTY:
R: Party affiliation: Sweden
|
|---|
Location:
Width:
2
| Question:
SE_PRTY - Sweden: Party affiliation Which political party do you mostly sympathise with? 0 NAP, other countries 1 Centre Party - C 2 Liberal Party - FP 3 Christian Democrats - KD 4 Green Party (Ecologists) - MP 5 Conservative Party - M 6 Social Democratic Party - S 7 Left Party (Socialists) - V 95 Other Party 96 No party preference 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
1236
; Min.
1
; Max.
95
Variable Format:
numeric |
SI_PRTY:
R: Party affiliation: Slovenia
|
|---|
Location:
Width:
2
| Question:
SI_PRTY - Slovenia: Party affiliation Suppose next Sunday would be a parliamentary election day. Which party would you vote for? 0 NAP, other countries 1 DESUS-Democratic ret 2 LDS-Liberal Democrats 3 SLS-Peoples Party 4 SNS-Slovenian Nation 5 SDS-Slovenian Democratic Party 6 NSI-New Slovenia 7 SD - Social Democrats 8 SMS-Youth Party 9 Green parties 10 AS - Active Slovenia 95 Other Party 96 Would not vote 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
576
; Min.
1
; Max.
95
Variable Format:
numeric |
SK_PRTY:
R: Party affiliation: Slovak Republic
|
|---|
Location:
Width:
2
| Question:
SK_PRTY - Slovakia: Party affiliation If parliamentary elections were held this week, would you vote? Which political party would you vote? 0 NAP, other countries 1 ANO - Alliance of New Citizens 2 KSS - Communist Party 3 KDH - Christian Democratic Movement 4 HZDS - Movement for Democratic Slovakia, Peoples Party 5 SF - Free Forum 6 SDKU - DS - Slovak Democratic Christian Union - Democratic Party 7 SNS - Slovak National Party 8 SMER - SD SMER - Social Democracy 9 SMK - Hungarian Coalition Party 10 OTHER: SZ Party of Greens 96 Would not vote, no party preference 98 Don't know 99 No answer
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
620
; Min.
1
; Max.
10
Variable Format:
numeric |
TW_PRTY:
R: Party affiliation: Taiwan
|
|---|
Location:
Width:
2
| Question:
TW_PRTY - Taiwan: Party affiliation There are several political parties in Taiwan, such as KMT, DPP, PFP, NP and TSU. Which party do you support? 0 NAP, other countries 1 KMT - Kuo Min Tang 2 DPP - Democratic Progressive Party 3 PFP - People First Party 4 TSU - Taiwan Solidarity Union 6 NP - New Party 95 Other Party 96 Don't support any party 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
755
; Min.
1
; Max.
95
Variable Format:
numeric |
US_PRTY:
R: Party affiliation: USA
|
|---|
Location:
Width:
2
| Question:
US_PRTY - United States: Party affiliation Generally speaking, do you usually think of yourself as a Republican, Democrat, Independent, or what? Would you call yourself a strong Republican/ Democrat or not a very strong Republican/ Democrat? Do you think of yourself as closer to the Republican or Democratic Party? 0 NAP, other countries 1 Strong Democrat 2 Not very strong Democrat 3 Independent, close Democrat 4 Independent 5 Independent, close Republican 6 Not very strong Republican 7 Strong Republican 95 Other Party 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
1531
; Min.
1
; Max.
95
Variable Format:
numeric |
UY_PRTY:
R: Party affiliation: Uruguay
|
|---|
Location:
Width:
2
| Question:
UY_PRTY - Uruguay: Party affiliation With what political party are you affiliated or toward what political party would you lean? 0 NAP, other countries 1 Red Party 2 National Party 3 Wide front Party 4 Independent Party 95 Other Party 96 No party preference 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
945
; Min.
1
; Max.
95
Variable Format:
numeric |
ZA_PRTY:
R: Party affiliation: South Africa
|
|---|
Location:
Width:
2
| Question:
ZA_PRTY - South Africa: Party affiliation If there was an election tomorrow, for which party would you vote? 0 NAP, other countries 1 African Christian Democratic Party - ACDP 2 African National Congress - ANC; incl. SACP and COSATU 3 Azanian People's Organisation - AZAPO 4 Democratic Party or Alliance - DP or DA 5 Freedom Front Plus or Vryheidsfront Plus - FF+ or VF+ 6 Independent Democrats - ID 7 Inkatha Freedom Party - IFP 8 Minority Front - MF 9 New National Party - NNP 10 Pan-Africanist Congress - PAC 11 United Christian Democratic Party - UCDP 12 United Democratic Movement - UDM 94 Uncertain 95 Other party 96 Will not vote 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
96-
990 Summary Statistics:
Valid
2251
; Min.
1
; Max.
95
Variable Format:
numeric |
VOTE_LE:
R: Vote last election: yes, no
|
|---|
Location:
Width:
1
| Question:
Voted last election AR: Do you clearly remember for which candidate you voted in the first turn of the 2003 presidential elections - the only one that took place, because Menem won the first turn but he withdrew from the second turn? AT: Which party did you vote for at the last national elections, September, 28, 2008? AU: Did you vote in the Federal Election held on October 9, 2004? CH: Which party did you vote for at the last parliamentary election (Nationalratswahl) in October, 2003? CL: Are you registered to vote? Did you vote on the last parliamentary elections of December 2005? CY: Have you voted in the last parliamentary elections? CZ: Let’s go back to the last elections to the Chamber of Deputies that were held on 2 and 3 July, 2006. Did you take part in the elections? DE: The last general election took place on September, 18, 2005. Were you eligible to vote in that election? Did you vote? DO: Did you vote in the last presidential elections in 2004? FI: Did you vote in the last parliamentary elections in 2003? FR: Did you vote in the first round of the French Presidental Elections, 2002? HR: Did you vote in last general election? IE: Did you vote in the last General Election? IL: Did you vote in the last election? KR: Did you vote in the last Local Government elections (May, 2006)? LV: Did you vote in the 9th Parliament elections on the 7th of October 2006? MX: Did you vote in the federal elections of July, 2, 2006 for President of the Republic? NO: Did you vote in the national election this year? NZ: At the 2005 General Election, who did you vote for? PH: Did you vote in the May 10, 2004 election or not? PL: Did you vote in the elections to the Seym and Senate on the 21 X 2007? RU: Did you vote at the last election in 2003? SE: Did you vote in the latest general elections? SI: It has past two years since last parliamentary elections. Did you vote? SK: In June 2006, elections to National Council of the Slovak Republic were held. Did you vote? TW: Did you vote in the last (December, 2004) legislator election? US: In 2004, you remember that Kerry ran for President on the Democratic ticket against Bush for the Republicans. Do you remember for sure whether or not you voted in that election? UY: Did you vote in the last National Elections in 2004? ZA: For which party did you vote for in the last election, 2004? 0 NAP, not eligible 1 Yes 2 No 8 Don't know 9 No answer in Flanders (FLA): 0 Not available in Switzerland (CH): 0 Not available in Taiwan (TW): 0 Not available
Range of Valid Data Values:
1-
2 Range of Invalid Data Values:
089 Summary Statistics:
Valid
39819
; Min.
1
; Max.
2
Variable Format:
numeric |
RELIG:
R: Religious denomination
|
|---|
Location:
Width:
3
| Question:
Religion - religious denomination AU: Do you have a religion? If yes, please tell us what it is. CH: Do you belong to a religion? If yes, to which one? CL: To which religion or church do you belong or feel close to? CZ: What is your religious affiliation? DE: May I ask you which religious confession you belong to? What kind of religious confession is this? DO: In religious matters, do you consider yourself as a believer or not a believer? Inside what religious denomination, do you consider yourself to be in? FI: Do you belong to a church or other religious denomination? FR: Do you consider that you belong to a religion? If yes, which one? GB: Do you regard yourself as belonging to any particular religion? If yes, which? HR: Do you belong to a religious group or community, denomination or church? If yes: Which one is that? IE: What is your current religious denomination? JP: Do you follow any religion? Indicate the religion you profess, irrespective of ceremonial occasions. KR: What is your religion? LV SI: Which religious group (confession) do you belong to? NO: Do you belong to ... NZ: What is your current religion or religious denomination? PL: Which religion, church or denomination do you feel related to? PH: What is your religion at present? SE: Do you belong to a church or religious parish? Which church, parish, communion, or religion is it? TW: What is your religious belief? US: What is your religious preference? Is it Protestant, Catholic, Jewish, some other religion, or no religion. (If Protestant) What specific denomination is that? Constructed by using three original variables. UY: Could you please tell me what your religion or church is, or to what church or religion do you feel closer? ZA: If you belong to a religion, please indicate which one. 0 No religion 100 Roman Catholic 110 Greek Catholic 200 Protestant 210 Anglican, Church of England, Episcopal 220 Baptists 230 Congregationalists 240 European Free Church (Anabaptists) 241 Mennonite 250 Lutheran, evangelical church 260 Methodist 270 Pentecostal 271 Full Gospel Church of God 272 Apostolic Faith Mission 273 Intern Pentecostal Holiness 274 St Johnes Apostolic Faith Mission 275 Nazareth Baptist Church 276 Zion Christian Church 280 Presbyterian, Church of Scotland 281 GB: Free Presbytarian 282 Jehovas Witnesses 283 Church of Christ 284 New Apostolic 285 LDS Church, Apostle Twelve 286 Church of God a Saints of Christ 287 Church of God 290 Other Protestants (no spec. denom.) 291 Brethren 292 Mormon 293 Salvation Army 294 Assemblies of God 295 Seventh Day Adventists 296 CZ: Hussites 297 Unitarians,AU: Uniting church 298 United Church CA 299 United Church of Christ 300 Orthodox; Eastern Orthodox 310 Greek Orthodox 320 Russian Orthodox 325 LV: Old Believers 390 Orthodox (no spec. mentioned) 400 Other Christian Groups 401 PH: Aglipayan 402 Born Again 403 Alliance 404 Dating Daan 405 Jesus Miracle Crusad 406 Jesus is Lord 407 Christians 408 Espiritista 409 Iglesia ni Christo 410 Phil Independent Church 413 Bible Christian 423 Four Square Gospel 425 Assembly of Yahweh 490 Unspecified Christian Groups 500 Jewish 510 Orthodox Jewish 520 Conservative Jewish 530 Reformist Jewish 590 Jewish Religion general 600 Islam 610 Kharijism 620 Mutazilism 630 Sunni 640 Shiism 650 Ismailis 660 Other Muslim Religions 670 Druse 690 Muslim,Mohammedan,Islam 700 Buddhists 790 Buddhism general 800 Hinduism 810 Specific Groups 820 Sikhism 890 Hinduism general 900 Other Asian Religion 901 Shintoism 902 Taoism 903 Confucianism 950 Other East Asian Religion 960 Other Religions 961 NZ: Ratana 962 US: Native American 963 UY: Afro brazilian religion 970 Other non-Christian Religions 998 Don't know 999 No answer in Hungary (HU): 997 Not available
Range of Valid Data Values:
0-
970 Range of Invalid Data Values:
997-
999 Summary Statistics:
Valid
48018
; Min.
0
; Max.
970
Variable Format:
numeric |
RELIGGRP:
R: Religious main groups (derived)
|
|---|
Location:
Width:
2
| Question:
Religious main groups: compressed variable derived from the coding scheme in RELIG (For detailed country specific question text see RELIG) 1 No religion 2 Roman Catholic 3 Protestant 4 Christian Orthodox 5 Jewish 6 Islam 7 Buddhism 8 Hinduism 9 Other Christian Religions 10 Other Eastern Religions 11 Other Religions 98 Don't know 99 No answer in Hungary (HU): 0 Not available in Uruguay (UY): 1 No religion; I believe in God, but I do not feel close to any religion
Range of Valid Data Values:
1-
11 Range of Invalid Data Values:
09899 Summary Statistics:
Valid
48018
; Min.
1
; Max.
11
Variable Format:
numeric |
ATTEND:
R: Attendance of religious services
|
|---|
Location:
Width:
2
| Question:
Attendance of religious services. AU CL CZ HR KR LV NZ PH SE US UY: How often do you attend religious services in general? CH: How often in general do you take part to religious services? DE HU: As a rule, how often do you go to church? DO: How often do you assist to church or other religious services? FI: How often do you attend worship services or other religious services, ceremonies or events? FR: Except marriages, funerals and baptisms, how often do you attend a religious cult? GB: (If any religion) Apart from such special occasions as weddings, funerals and baptisms, how often nowadays do you attend services or meetings connected with your religion? JP: How often do you attend a place of worship or prayer? Exclude ceremonial occasions such as wedding or funerals. NO: How often do you attend religious services or other religious meetings? (Do not include weddings, funerals etc.). PL: How often do you attend mass and religious services? SI: Do you ever attend religious services? If yes, how often? TW: How often do you participate in religious activities? ZA: Apart from special occasions such as weddings, funerals and baptisms, how often do you attend services or meetings connected with your religion? 1 Several times a week 2 Once a week 3 2 or 3 times a month 4 Once a month 5 Several times a year 6 Once a year 7 Less frequently than once a year 8 Never 97 Refused 98 Don't know, varies too much 99 No answer in Israel (IL): 1 Several times a week, every day
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
48128
; Min.
1
; Max.
8
Variable Format:
numeric |
TOPBOT:
R:Top Bottom self-placement 10 pt scale
|
|---|
Location:
Width:
2
| Question:
Top - Bottom self-placement (10 pt scale) AU DE KR PL SI US ZA: In our society there are groups of people which tend to be towards the top and groups which tend to be towards the bottom? Below is a scale that runs top to bottom. Where would you put yourself on this scale? BG MX: Poor - Rich self placement CH: In Switzerland, there are people who are placed better than of others. Where would you place yourself on a scale from 1 to 10, if 1 is the lowest value and 10 the highest value? CL: In our society there are groups that place themselves on the highest levels, and groups that place themselves on the lowest levels. Here is a scale that goes from the lowest to the highest level. Where on this scale would you place yourself? CY: In our society there are groups which are high and groups which are low. Where would you place yourself in this scale which starts from lowest and goes to higher? CZ: In our society, there are groups which are considered to have high social status and on contrary groups of low social status: Where would you place yourself on this scale? (01. low social status ......10. high social status) FI: There are different classes in our society. Some social classes are higher and some lower. On a scale from 1 to 10 where 10 is the highest class and 1 is the lowest, where would you place yourself? FR: In our society, there are groups which are rather at the top of the society and the others which are rather below. Here is a scale which goes of the highest at the lowest. Where do you think you stand on this scale? HR: In our society there are groups of people that hold higher or lower social position. Where would you locate yourself on the scale, that ranges from 10 (top) to 1 (bottom)? HU: Where would you place yourself on a 10 point scale regarding your social circumstances? IE: People have different ideas about social classes and who belongs to them. In your own case, if you had to classify yourself in terms of this kind of ladder, where would you place yourself? JP: If current Japanese society were divided into 10 strata, to which stratum do you think you belong? LV: In our society there are groups of people which are closer to the top of the society and some which are closer to the bottom? Where do you think you are on this scale? NO: In Norway some groups of people are almost at the top of the social ladder while others are almost at the bottom. Where on the scale would you place yourself? NZ: In terms of your social status, which one of the following categories do you think you fit into? PH: At present, where will you put yourself on this card regarding your current situation in life? PL: In our society, there are social groups that occupy higher positions and others that occupy lower positions. Below is a scale that runs from top to bottom. Where would you place yourself on this scale? (01. Bottom, 10. Top) SE: In our society there are some groups that are seen as higher and other groups that are seen as lower. Here you find a scale from top to bottom. Where would you place yourself on this scale? TW: If people in society are divided into 10 social strata, where 1 means the lowest and 10 means the highest, which status do you think you belong to? UY: If we had a rank of the Uruguayan families from 1 to 10 according to their standard of life, where the poorest families would be placed in the level 1 and the richest families would be placed in the level 10. Where would you place your family in your rank? 1 Lowest, 01 2 02 3 03 4 04 5 05 6 06 7 07 8 08 9 09 10 Highest, 10 97 Refused 98 Don't know 99 No answer in Czech Republic (CZ): 0 Not available in Great Britain (GB): 0 Not available in Hungary (HU): 0 Not available in United States of America (US): 0 Not available
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
43372
; Min.
1
; Max.
10
Variable Format:
numeric |
AR_REG:
Region: Argentina
|
|---|
Location:
Width:
2
| Question:
AR_REG - Argentina: Region Address of interviewee, County, City, Town, Province or State Using these information, we constructed the 6 Census regions: 0 NAP, other countries 1 Buenos Aires Metropolitan Area 2 Pampeana Region (center) 3 Cuyo Region (center west) 4 Northwest 5 Northeast 6 Patagonia Region (South)
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1657
; Min.
1
; Max.
6
Variable Format:
numeric |
AT_REG:
Region: Austria
|
|---|
Location:
Width:
2
| Question:
AT_REG - Austria: Region Not asked, coded by the research institute according to the location of interview 0 NAP, other countries 1 Vorarlberg 2 Tirol 3 Salzburg 4 Oberoesterreich 5 Kaernten 6 Steiermark 7 Burgenland 8 Niederoesterreich 9 Wien
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1020
; Min.
1
; Max.
9
Variable Format:
numeric |
AU_REG:
Region: Australia
|
|---|
Location:
Width:
2
| Question:
AU_REG - Australia: Region Administrative variable. Part of sample address details (state). 0 NAP, other countries 1 New South Wales 2 Victoria 3 Queensland 4 South Australia 5 Western Australia 6 Tasmania 7 Australian Capital Territory 8 Northern Territory 99 No answer
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2763
; Min.
1
; Max.
8
Variable Format:
numeric |
BG_REG:
Region: Bulgaria
|
|---|
Location:
Width:
2
| Question:
BG_REG - Bulgaria: Region 0 NAP, other countries 1 Sofia city 2 Burgas region 3 Varna region 4 Lovetch region 5 Montana region 6 Plovdiv region 7 Rousse region 8 Sofia region 9 Haskovo region
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1000
; Min.
1
; Max.
9
Variable Format:
numeric |
CH_REG:
Region: Switzerland
|
|---|
Location:
Width:
2
| Question:
CH_REG - Switzerland: Region This variable is not asked. The postal code of the place the respondent lives is used to define CH_REG (=NUTS II). 0 NAP, other countries 1 Région lémanique 2 Espace Mittelland 3 Nordschweiz 4 Zürich 5 Ostschweiz 6 Zentralschweiz 7 Ticino
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1003
; Min.
1
; Max.
7
Variable Format:
numeric |
CL_REG:
Region: Chile
|
|---|
Location:
Width:
2
| Question:
CL_REG - Republic of Chile: Region This question is not asked to respondents, but filled in by the interviewer. 0 NAP, other countries 1 Tarapaca 2 Antofagasta 3 Atacama 4 Coquimbo 5 Valparaiso 6 Libertador General 7 Maule 8 Biobio 9 La Araucania 10 Los Lagos 11 Aisen del General 12 Magallanes y Antartica Chilena 13 Metropolitana de Santiago
Range of Valid Data Values:
1-
13 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1505
; Min.
1
; Max.
13
Variable Format:
numeric |
CY_REG:
Region: Cyprus
|
|---|
Location:
Width:
2
| Question:
CY_REG - Cyprus: Region District 0 NAP, other countries 1 Nicosia 2 Limassol 3 Larnaca, Famagusta 4 Paphos
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1000
; Min.
1
; Max.
4
Variable Format:
numeric |
CZ_REG:
Region: Czech Republic
|
|---|
Location:
Width:
2
| Question:
CZ_REG - Czech Republic: Region No question. Recorded by the SC&C based on system of distribution of questionnaires. CZ_REG includes NUTS 3 classification, which respects legal administrative division into regions. NUTS 3 (regions) significantly differ in their sizes-NUTS 2 (areas) more correspond one to another and also to EU average. 0 NAP, other countries 1 Prague 2 Central Bohemia 3 South Bohemia 4 Pilsen 5 Carlsbad 6 Usti 7 Liberec 8 Hradec Kralove 9 Pardubice 10 Vysocina 11 South Moravia 12 Olomouc 13 Moravia-Silesia 14 Zlin
Range of Valid Data Values:
1-
14 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1222
; Min.
1
; Max.
14
Variable Format:
numeric |
DE_REG:
Region: Germany
|
|---|
Location:
Width:
2
| Question:
DE_REG - Germany: Region Which federal state is the interview fielded in? (BULA) 0 NAP, other countries 1 Schleswig-Holstein 2 Hamburg 3 Niedersachsen 4 Bremen 5 Nordrhein-Westfalen 6 Hessen 7 Rheinland-Pfalz 8 Baden-Wuerttemberg 9 Bayern 10 Saarland 11 Berlin-Ost 12 Mecklenburg-Vorpommern 13 Brandenburg 14 Sachsen-Anhalt 15 Thueringen 16 Sachsen 17 Berlin-West
Range of Valid Data Values:
1-
17 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1717
; Min.
1
; Max.
17
Variable Format:
numeric |
DO_REG:
Region: Dominican Republic
|
|---|
Location:
Width:
2
| Question:
DO_REG - Dominican Republic: Region These provinces were classified by region, according to the national census classification of the Dominican Republic. 0 NAP, other countries 1 DISTRITO NACIONAL Y SANTO DOMINGO 2 AZUA 3 BAHORUCO 4 BARAHONA 5 DAJABON 6 DUARTE 7 EL SEYBO 8 ESPAILLAT 9 LA ALTAGRACIA 10 ROMANA 11 LA VEGA 12 MARIA TRINIDAD SANCHEZ 13 MONTE CRISTY 14 PERAVIA 15 PUERTO PLATA 16 SAMANA 17 SAN CRISTOBAL 18 SAN JUAN DE LA MAGUANA 19 SAN PEDRO DE MACORIS 20 SANCHEZ RAMIREZ 21 SANTIAGO 22 VALVERDE 23 MONS. NOUEL 24 MONTE PLATA 25 HATO MAYOR 26 SAN JOSE DE OCOA 28 SALCEDO 29 SANTIAGO RODRIGUEZ
Range of Valid Data Values:
1-
29 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2164
; Min.
1
; Max.
29
Variable Format:
numeric |
FI_REG:
Region: Finland
|
|---|
Location:
Width:
2
| Question:
FI_REG - Finland: Region Not asked in the questionnaire. Added from the registers of the fieldwork institute (Statistics Finland). 0 NAP, other countries 1 Uusimaa 2 Varsinais-Suomi 4 Satakunta 5 Kanta-Haeme 6 Pirkanmaa 7 Paeijaet-Haeme 8 Kymenlaakso 9 South Karelia 10 Etelae-Savo 11 Pohjois-Savo 12 North Karelia 13 Central Finland 14 South Ostrobothnia 15 Ostrobothnia 16 Central Ostrobothnia 17 North Ostrobothnia 18 Kainuu 19 Lapland 20 Itae-Uusimaa 21 Aland
Range of Valid Data Values:
1-
21 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1354
; Min.
1
; Max.
21
Variable Format:
numeric |
FLA_REG:
Region: Flanders
|
|---|
Location:
Width:
2
| Question:
FLA_REG - Flanders: Region 0 NAP, other countries 1 Antwerp 2 Flemish Brabant 3 West Flanders 4 East Flanders 5 Limburg 6 Brussels
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1257
; Min.
1
; Max.
6
Variable Format:
numeric |
FR_REG:
Region: France
|
|---|
Location:
Width:
2
| Question:
FR_REG - France: Region In which department is your main home? 0 NAP, other countries 1 Ain 2 Aisne 3 Allier 4 Alpes-Hte-Provence 5 Hautes-Alpes 6 Alpes-Maritimes 7 Ardeche 8 Ardennes 9 Ariege 10 Aube 11 Aude 12 Aveyron 13 Bouche-du-Rhone 14 Calvados 16 Charente 17 Charente-Maritime 18 Cher 19 Correze 20 Corse 21 Cote-d Or 22 Cotes-d Armor 23 Creuse 24 Dordogne 25 Doubs 26 Drome 27 Eure 28 Eure-et-Loire 29 Finistere 30 Gard 31 Haute-Garonne 32 Gers 33 Gironde 34 Herault 35 Ille-et-Vilaine 36 Indre 37 Indre-et-Loire 38 Isere 39 Jura 40 Landes 41 Loir-et-Cher 42 Loire 43 Haute-Loire 44 Loire-Atlantique 45 Loiret 46 Lot 47 Lot-et-Garonne 48 Lozere 49 Maine-et-Loire 50 Manche 51 Marne 52 Haute-Marne 53 Mayenne 54 Meurthe-et-Moselle 55 Meuse 56 Morbihan 57 Moselle 58 Nievre 59 Nord 60 Oise 61 Orne 62 Pas-de-Calais 63 Puy-de-Dome 64 Pyrenees-Atlantiques 65 Hautes-Pyrenees 66 Pyrenees-Orientales 67 Bas-Rhin 68 Haut-Rhin 69 Rhone 70 Haute-Saone 71 Saone-et-Loire 72 Sarthe 73 Savoie 74 Haute-Savoie 75 Ville de Paris 76 Seine-Maritime 77 Seine-et-Marne 78 Yvelines 79 Deux-Sevres 80 Somme 81 Tarn 82 Tarn-et-Garonne 83 Var 84 Vaucluse 85 Vendee 86 Vienne 87 Haute-Vienne 88 Vosges 89 Yonne 90 Belfort (Territoire) 91 Essone 92 Hauts-de-Seine 93 Seine-Saint-Denis 94 Val-de-Marne 95 Val-d Oise 99 No answer
Range of Valid Data Values:
1-
95 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2054
; Min.
1
; Max.
95
Variable Format:
numeric |
GB_REG:
Region: Great Britain
|
|---|
Location:
Width:
2
| Question:
GB_REG - Great Britain: Region This is part of the sample data and is not asked of Respondent. 0 NAP, other countries 1 Scotland 2 North, North West, Yorkshire Humbershire 3 West, East Midlands 4 Wales 5 East Anglia, South West, South-East 6 Greater London
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
906
; Min.
1
; Max.
6
Variable Format:
numeric |
HR_REG:
Region: Croatia
|
|---|
Location:
Width:
2
| Question:
HR_REG - Croatia: Region Region (IDIZ writes in): 0 NAP, other countries 1 Zagreb 2 North Croatia 3 Slavonija 4 Lika and Banovina 5 Istra and Hrvatsko primorje 6 Dalmacija
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1200
; Min.
1
; Max.
6
Variable Format:
numeric |
HU_REG:
Region: Hungary
|
|---|
Location:
Width:
2
| Question:
HU_REG - Hungary: Region 0 NAP, other countries 1 Budapest 2 Baranya 3 Bacs-Kiskun 4 Bekes 5 Borsod-Abauj 6 Csongrad 7 Fejer 8 Gyor-Sopron 9 Hajdu-Bihar 10 Heves 11 Komarom 12 Nograd 13 Pest 14 Somogy 15 Szabolcs-Szatmar 16 Szolnok 18 Vas 19 Veszprem 20 Zala
Range of Valid Data Values:
1-
20 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1027
; Min.
1
; Max.
20
Variable Format:
numeric |
IE_REG:
Region: Ireland
|
|---|
Location:
Width:
2
| Question:
IE_REG - Ireland: Region Constructed from sample information on county location. Not asked by interviewer, information entered by ESRI survey unit. 0 NAP, other countries 1 Border 2 Dublin 3 Mid-East 4 Midland 5 Mid-West 6 South-East 7 South-West 8 West
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2049
; Min.
1
; Max.
8
Variable Format:
numeric |
IL_REG:
Region: Israel
|
|---|
Location:
Width:
2
| Question:
IL_REG - Israel: Region 0 NAP, other countries 1 North 2 South 3 Tel-Aviv 4 Jerusalem 5 Arab sector
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1344
; Min.
1
; Max.
5
Variable Format:
numeric |
JP_REG:
Region: Japan
|
|---|
Location:
Width:
2
| Question:
JP_REG - Japan: Region Nine administrative and geographic regions. 0 NAP, other countries 1 Hokkaido 2 Tohoku 3 Kanto 4 Koshin-etsu 5 Tokai, Hokuriku 6 Kinki 7 Chugoku 8 Shikoku 9 Kyushu
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1253
; Min.
1
; Max.
9
Variable Format:
numeric |
KR_REG:
Region: South Korea
|
|---|
Location:
Width:
2
| Question:
KR_REG - South Korea: Region Individuals are sampled by the three-stage area probability sampling method. The total number of sample blocks (or clusters) is 200. The total sample blocks are distributed to 16 do’s or si’s at the province level, proportionate to the distribution of households in Korea (do=province). 0 NAP, other countries 1 Seoul 2 Gyeonggi-do 3 Inchon 4 Gangwon-do 5 Daejeon 6 Chungcheong-do 7 Gwangju 8 Jeolla-do 9 Pusan 10 Ulsan 11 Daegu 12 Gyeongsang-do 13 Jeju-do
Range of Valid Data Values:
1-
13 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1431
; Min.
1
; Max.
13
Variable Format:
numeric |
LV_REG:
Region: Latvia
|
|---|
Location:
Width:
2
| Question:
LV_REG - Latvia: Region Not asked to the Respondent. 0 NAP, other countries 1 Riga 2 Pieriga 3 Vidzeme 4 Kurzeme 5 Zemgale 6 Latgale
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1069
; Min.
1
; Max.
6
Variable Format:
numeric |
MX_REG:
Region: Mexico
|
|---|
Location:
Width:
2
| Question:
MX_REG - Mexico: Region This variable was not asked directly, it was automatically extracted from the states included in the designed sample. 0 NAP, other countries 1 Aguascalientes 2 Baja California 3 Baja California Sur 4 Campeche 5 Coahuila 6 Colima 7 Chiapas 8 Chihuahua 9 Distrito Federal 10 Durango 11 Guanajuato 12 Guerrero 13 Hidalgo 14 Jalisco 15 Mexico 16 Michoacan 17 Morelos 18 Nayarit 19 Nuevo Leon 20 Oaxaca 21 Puebla 22 Queretaro 23 Quintana Roo 24 San Luis Potosi 25 Sinaloa 26 Sonora 27 Tabasco 28 Tamaulipas 29 Tlaxcala 30 Veracruz 31 Yucatan 32 Zacatecas
Range of Valid Data Values:
1-
32 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1607
; Min.
1
; Max.
30
Variable Format:
numeric |
NO_REG:
Region: Norway
|
|---|
Location:
Width:
2
| Question:
NO_REG - Norway: County Data from Central Register for Persons. 0 NAP, other countries 1 Central East 2 East 3 South 4 West 5 Middle 6 North
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1143
; Min.
1
; Max.
6
Variable Format:
numeric |
NZ_REG:
Region: New Zealand
|
|---|
Location:
Width:
2
| Question:
NZ_REG - New Zealand: Region And in which area do you live? 0 NAP, other countries 1 Northland 2 Auckland 3 Thames Valley 4 Bay of Plenty 5 Waikato 6 Tongariro 7 East Cape 8 Hawkes Bay 9 Taranaki 10 Wanganui 11 Manawatu 12 Horowhenua 13 Wellington 14 Wairarapa 15 Nelson Bays 16 Marlborough 17 West Coast 18 Canterbury 19 Aorangi 20 Clutha-Centr Otago 21 Coastal-North Otago 22 Southland 99 No answer
Range of Valid Data Values:
1-
22 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
987
; Min.
1
; Max.
22
Variable Format:
numeric |
PH_REG:
Region: Philippines
|
|---|
Location:
Width:
2
| Question:
PH_REG - Philippines: Area This variable is part of the Household Socio-Demographic questionnaire. 0 NAP, other countries 1 Great Manila Area 2 Balance Luzon 3 Visayas 4 Mindanao
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1200
; Min.
1
; Max.
4
Variable Format:
numeric |
PL_REG:
Region: Poland
|
|---|
Location:
Width:
2
| Question:
PL_REG - Poland: Region Voivodeship: A variable coming from the sample description. 0 NAP, other countries 1 Dolnosklaskie 2 Kujawsko-Pomorskie 3 Lubelskie 4 Lubuskie 5 Lodzkie 6 Malopolska (S-E) 7 Mazowieckie 8 Opolskie 9 Podkarpackie 10 Podlaskie 11 Pomorskie 12 Slaskie 13 Swietokrzyskie 14 Warminsko-Mazurskie 15 Wielkopolskie 16 Zachodniopomorskie
Range of Valid Data Values:
1-
16 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1293
; Min.
1
; Max.
16
Variable Format:
numeric |
RU_REG:
Region: Russia
|
|---|
Location:
Width:
2
| Question:
RU_REG - Russia: Region 0 NAP, other countries 1 North 2 North-West 3 Central 4 Volga-Vyatka 5 Black Earth 6 Volga Region 7 North Caucasus 8 Urals 9 West Siberia 10 East Siberia 11 Far East
Range of Valid Data Values:
1-
11 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2005
; Min.
1
; Max.
11
Variable Format:
numeric |
SE_REG:
Region: Sweden
|
|---|
Location:
Width:
2
| Question:
SE_REG - Sweden: Region Derived from register. 0 NAP, other countries 1 North 2 Mid North 3 Mid East 4 Stockholm 5 West 6 Goeteborg 7 Smaaland Gotland 8 South 9 Malmoe
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1309
; Min.
1
; Max.
9
Variable Format:
numeric |
SI_REG:
Region: Slovenia
|
|---|
Location:
Width:
2
| Question:
SI_REG - Slovenia: Region Region is computed from the sample information. Slovenia does not have regions as political, administrative and legal bodies. Nevertheless, it is divided into 12 regions for statistical and administrative purposes. 0 NAP, other countries 1 Pomurska 2 Podravska 3 Koroska 4 Savinjska 5 Gorenjska 6 Zasavska 7 Osrednja 8 Spodnjeposavska 9 Dolenjska 10 Goriska 11 Obalnokraska 12 Kraska 99 No answer
Range of Valid Data Values:
1-
12 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1001
; Min.
1
; Max.
12
Variable Format:
numeric |
SK_REG:
Region: Slovak Republic
|
|---|
Location:
Width:
2
| Question:
SK_REG - Slovakia: Region Filled in by interviewer. 0 NAP, other countries 1 Bratislava county 2 Trnava county 3 Trencin county 4 Nitra county 5 Zilina county 6 Banska Bystrica county 7 Presov county 8 Kosice county
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1138
; Min.
1
; Max.
8
Variable Format:
numeric |
TW_REG:
Region: Taiwan
|
|---|
Location:
Width:
2
| Question:
TW_REG - Taiwan: Region Where do you live? Zip code of the area where Respondent resides. 0 NAP, other countries 1 Keelung city 2 Taipei city 3 Taipei county 4 Taoyuan county 5 Hsinchu city 6 Hsinchu county 7 Miaoli county 8 Taichung city 9 Taichung county 10 Nantou county 11 Changhua county 12 Yunlin county 13 Chiayi city 14 chiayi county 15 Tainan city 16 Tainan county 17 Kaohsiung city 18 Kaohsiung county 19 Pingtung county 20 Ilan county 21 Hualien county
Range of Valid Data Values:
1-
21 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2147
; Min.
1
; Max.
21
Variable Format:
numeric |
US_REG:
Region: USA
|
|---|
Location:
Width:
2
| Question:
US_REG - United States: Region States were recoded into regions (U.S. Bureau of Census: Regional classification). 0 NAP, other countries 1 New England 2 Middle Atlantic 3 East North Central 4 West North Central 5 South Atlantic 6 East South Central 7 West South Central 8 Mountain 9 Pacific
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1535
; Min.
1
; Max.
9
Variable Format:
numeric |
UY_REG:
Region: Uruguay
|
|---|
Location:
Width:
2
| Question:
UY_REG - Uruguay: Region No question. The answer is obtained from the codification of 'Region'. 0 NAP, other countries 1 Metropolitan statistical area of Montevideo 2 Rest of urban population
Range of Valid Data Values:
1-
2 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1437
; Min.
1
; Max.
2
Variable Format:
numeric |
ZA_REG:
Region: South Africa
|
|---|
Location:
Width:
2
| Question:
ZA_REG - South Africa: Region Derived from EA number (First digit) and recoded into provinces. 0 NAP, other countries 1 Western Cape 2 Eastern Cape 3 Northern Cape 4 Free State 5 Kwa-Zulu Natal 6 North West 7 Gauteng 8 Mpumalanga 9 Limpopo
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2907
; Min.
1
; Max.
9
Variable Format:
numeric |
AR_SIZE:
Size of community: Argentina
|
|---|
Location:
Width:
2
| Question:
AR_SIZE - Argentina: Size of community Community size constructed, according to the population of places described in AR_REG 0 NAP, other countries 1 1.500.000 inhabitants and more 2 1.000.000 - 1.499.999 inhabitants 3 500.000 - 999.999 inhabitants 4 300.000 - 499.999 inhabitants 5 100000 - 299.999 inhabitants 6 50.000 - 99.999 inhabitants 7 10.000 - 49.999 inhabitants 8 2.000 - 9.999 inhabitants 9 Rural, less than 2.000 inhabitants
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1657
; Min.
1
; Max.
9
Variable Format:
numeric |
AT_SIZE:
Size of community: Austria
|
|---|
Location:
Width:
2
| Question:
AT_SIZE - Austria: Size of community Not asked, coded by the research institute according to location of interview 0 NAP, other countries 1 More than 1.000.000 inhabitants 2 50.001-1.000.000 inhabitants 3 20.001- 50.000 inhabitants 4 10.001- 20.000 inhabitants 5 5.001- 10.000 inhabitants 6 3.001- 5.000 inhabitants 7 2.001 - 3.000 inhabitants 8 Up to 2.000 inhabitants
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1020
; Min.
1
; Max.
8
Variable Format:
numeric |
AU_SIZE:
Size of community: Australia
|
|---|
Location:
Width:
2
| Question:
AU_SIZE - Australia: Size of community Would you say you now live in ... 0 NAP, other countries 1 Inner metropolitan (over 100.000 people) 2 Outer metropolitan (over 100.000 people) 3 A large town (over 25.000 people) 4 A larger country town (over 10.000 people) 5 A small country town (under 10.000 people) 6 A rural area or on a farm 99 No answer
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2709
; Min.
1
; Max.
6
Variable Format:
numeric |
BG_SIZE:
Size of community: Bulgaria
|
|---|
Location:
Width:
2
| Question:
BG_SIZE - Bulgaria: Size of community 0 NAP, other countries 1 Sofia 2 100.001-500.000 inhabitants 3 20.001-100.000 inhabitants 4 2.001-20.000 inhabitants 5 Up to 2.000 inhabitants
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1000
; Min.
1
; Max.
5
Variable Format:
numeric |
CH_SIZE:
Size of community: Switzerland
|
|---|
Location:
Width:
2
| Question:
CH_SIZE - Switzerland: Size of community This variable is not asked. The postal code of the place the respondent lives and the number of inhabitants of that place are used to construct CH_SIZE. 0 NAP, other countries 1 100.000 inhabitants and more 2 20.000 to 99.999 inhabitants 3 10.000 - 19.999 inhabitants 4 5.000 - 9.999 inhabitants 5 1.000 - 4.999 inhabitants 6 999 inhabitants or less
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1003
; Min.
1
; Max.
6
Variable Format:
numeric |
CL_SIZE:
Size of community: Republic of Chile
|
|---|
Location:
Width:
2
| Question:
CL_SIZE - Republic of Chile: Size of community 0 Not available; NAP, other countries
Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
0
; Variable Format:
numeric |
CY_SIZE:
Size of community: Cyprus
|
|---|
Location:
Width:
2
| Question:
CY_SIZE - Cyprus: Size of community Population size of town or village 0 NAP, other countries 1 100.001 inhabitants and more 2 50.001-100. 000 inhabitants 4 5.001-20.000 inhabitants 5 1.001-5.000 inhabitants 6 Less than 1.000 inhabitants
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1000
; Min.
1
; Max.
6
Variable Format:
numeric |
CZ_SIZE:
Size of community: Czech Republic
|
|---|
Location:
Width:
2
| Question:
CZ_SIZE - Czech Republic: Size of community What size category does the community you live in belong to? 0 NAP, other countries 1 1.2 Mill. (Prague) 2 100.000 inhabitants and more, city 3 50.000 - 99.999 inhabitants 4 10.000 - 49.999 inhabitants 5 5.000 - 9.999 inhabitants 6 2.000 - 4.999 inhabitants 7 1.000 - 1.999 inhabitants 8 Less than 1.000 inhabitants 99 No answer
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1220
; Min.
1
; Max.
8
Variable Format:
numeric |
DE_SIZE:
Size of community: Germany
|
|---|
Location:
Width:
2
| Question:
DE_SIZE - Germany: Size of community Size of political community was constructed from place of interview; not asked by interviewer. 0 NAP, other countries 1 More than 500.000 inhabitants 2 100.000-499.999 inhabitants 3 50.000-99.999 inhabitants 4 20.000-49.999 inhabitants 5 5.000-19.999 inhabitants 6 2.000-4.999 inhabitants 7 Up to 1.999 inhabitants
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1717
; Min.
1
; Max.
7
Variable Format:
numeric |
DO_SIZE:
Size of community: Dominican Republic
|
|---|
Location:
Width:
2
| Question:
DO_SIZE - Dominican Republic: Size of community The province was classified by the population, according to the National Statistic Office Census 2002. 0 NAP, other countries 1 Capital (Greater than 990 thousand) 2 Province 1 (550 to 990 thousand) 3 Province 2 (300 to 549 thousand) 4 Province 3 (200 to 299 thousand) 5 Province 4 (100 to 199 thousand) 6 Province 5 (Less than 100 thousand)
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2164
; Min.
1
; Max.
6
Variable Format:
numeric |
FI_SIZE:
Size of community: Finland
|
|---|
Location:
Width:
2
| Question:
FI_SIZE - Finland: Size of community Not asked in the questionnaire. Added from the registers of the fieldwork institute (Statistics Finland). 0 NAP, other countries 1 180.000 inhabitants and more 2 50.000 - 179.999 inhabitants 3 20.000 - 49.999 inhabitants 4 8.000 - 19.999 inhabitants 5 Less than 8.000 inhabitants
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1354
; Min.
1
; Max.
5
Variable Format:
numeric |
FLA_SIZE:
Size of community: Flanders
|
|---|
Location:
Width:
2
| Question:
FLA_SIZE - Flanders: Size of community 0 NAP, other countries 1 100.000 inhabitants and more 2 75.001-100.000 inhabitants 3 30.001-75.000 inhabitants 4 15.001-30.000 inhabitants 5 Less than 15.000 inhabitants
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1257
; Min.
1
; Max.
5
Variable Format:
numeric |
FR_SIZE:
Size of community: France
|
|---|
Location:
Width:
2
| Question:
FR_SIZE - France: Size of community How many inhabitants live in your town? 0 NAP, other countries 1 Greater Paris 2 More than 500.000 inhabitants 3 100.001-500.000 inhabitants 4 50.001-100.000 inhabitants 5 20.001-50.000 inhabitants 6 10.001-20.000 inhabitants 7 2.001-10.000 inhabitants 8 2.000 inhabitants or less 99 No answer
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1986
; Min.
1
; Max.
8
Variable Format:
numeric |
GB_SIZE:
Size of community: Great Britain
|
|---|
Location:
Width:
2
| Question:
GB_SIZE - Great Britain: Size of community Population density in quartiles. This is part of the sample data and is not asked of Respondent. 0 NAP, other countries 1 More than 37.3 persons per square hectare 2 18.11 to 37.3 persons per square hectare 3 3.96 to 18.11 persons per square hectare 4 Less than 3.96 persons per square hectare
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
906
; Min.
1
; Max.
4
Variable Format:
numeric |
HR_SIZE:
Size of community: Croatia
|
|---|
Location:
Width:
2
| Question:
HR_SIZE - Croatia: Size of community Size of settlement (IDIZ writes in) 0 NAP, other countries 1 100.000 inhabitants and more 2 10.000-100.000 inhabitants 3 2.000-10.000 inhabitants 4 Less than 2.000 inhabitants
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1200
; Min.
1
; Max.
4
Variable Format:
numeric |
HU_SIZE:
Size of community: Hungary
|
|---|
Location:
Width:
2
| Question:
HU_SIZE - Hungary: Size of community 0 NAP, other countries 1 2.000.000 inhabitants, Budapest 2 More than 100.000 inhabitants 3 50.001-100.000 inhabitants 4 20.001-50.000 inhabitants 5 10.001-20.000 inhabitants 6 5.001-10.000 inhabitants 7 2.001-5.000 inhabitants 8 1.001-2.000 inhabitants
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1027
; Min.
1
; Max.
8
Variable Format:
numeric |
IE_SIZE:
Size of community: Ireland
|
|---|
Location:
Width:
2
| Question:
IE_SIZE - Ireland: Size of community Would you say you live in: IE_SIZE uses information from the sample (location of PSU) as well as information from the above item. 0 NAP, other countries 1 Dublin 2 Large city, 70.000 to 100.000 inhabitants 4 Large town, 10.000 to 49.999 inhabitants 5 Small town, 3.000 to 9.999 inhabitants 6 Village up to 3.000 inhabitants 7 Farm, rural property
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2049
; Min.
1
; Max.
7
Variable Format:
numeric |
IL_SIZE:
Size of community: Israel
|
|---|
Location:
Width:
2
| Question:
IL_SIZE - Israel: Size of community 0 NAP, other countries 1 More than 100.000 inhabitants 2 50.001-100.000 inhabitants 3 20.001-50.000 inhabitants 4 10.001-20.000 inhabitants 5 5.001-10.000 inhabitants 6 2.501-5.000 inhabitants 7 2.500 inhabitants or less
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1344
; Min.
1
; Max.
7
Variable Format:
numeric |
JP_SIZE:
Size of community: Japan
|
|---|
Location:
Width:
2
| Question:
JP_SIZE - Japan: Size of community 0 NAP, other countries 1 1.000.000 inhabitants or more 2 300.000-999.999 inhabitants 3 100.000-299.999 inhabitants 4 Less than 100.000 inhabitants 5 Town or village
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1253
; Min.
1
; Max.
5
Variable Format:
numeric |
KR_SIZE:
Size of community: South Korea
|
|---|
Location:
Width:
2
| Question:
KR_SIZE - South Korea: Size of community 0 NAP, other countries 1 1.000.001 inhabitants and more: Metropolitan city 2 100.001-1.000.000 inhabitants: Large city 3 50.001-100.000 inhabitants: Middle city 4 50.000 inhabitants or less: Rural city
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1431
; Min.
1
; Max.
4
Variable Format:
numeric |
LV_SIZE:
Size of community: Latvia
|
|---|
Location:
Width:
2
| Question:
LV_SIZE - Latvia: Size of community Not asked to the Respondent. 0 NAP, other countries 1 More than 500.000 inhabitants 2 100.001-500.000 inhabitants 3 50.001-100.000 inhabitants 4 20.001-50.000 inhabitants 5 10.001-20.000 inhabitants 6 5.001-10.000 inhabitants 7 2.000-5.000 inhabitants 8 Less than 2.000 inhabitants
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1069
; Min.
1
; Max.
8
Variable Format:
numeric |
MX_SIZE:
Size of community: Mexico
|
|---|
Location:
Width:
2
| Question:
MX_SIZE - Mexico: Size of community The number of inhabitants in the town where you live is: Data from the National Institute of Statistic, and Geography of Mexico INEGI, 2005 0 NAP, other countries 1 500.000 inhabitants and more 2 100.000-499.000 inhabitants 3 50.000-99.999 inhabitants 4 15.000-49.999 inhabitants 5 10.000-14.999 inhabitants 6 5.000-9.999 inhabitants 7 2.500-4.999 inhabitants 8 2.499 inhabitants or less
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1607
; Min.
1
; Max.
8
Variable Format:
numeric |
NO_SIZE:
Size of community: Norway
|
|---|
Location:
Width:
2
| Question:
NO_SIZE - Norway: Size of community Total population by 01.01.2007; data from NSD’s Commune Database. 0 NAP, other countries 1 100.000 inhabitants and more, urban 2 30.000-99.999 inhabitants 3 3.000-29.999 inhabitants 4 Less than 3.000 inhabitants, rural
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1143
; Min.
1
; Max.
4
Variable Format:
numeric |
NZ_SIZE:
Size of community: New Zealand
|
|---|
Location:
Width:
2
| Question:
NZ_SIZE - New Zealand: Size of community What is the population of place where you live? 0 NAP, other countries 1 Large city, 100.000 inhabitants and more 2 Medium city, 50.000-99.999 inhabitants 3 Small city, 30.000-49.999 inhabitants 4 Large town, 10.000-29.999 inhabitants 5 Small town, 1.000-9.999 inhabitants 6 Village, less than 1.000 inhabitants 7 Farm, rural property 99 No answer
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
945
; Min.
1
; Max.
7
Variable Format:
numeric |
PH_SIZE:
Size of community: Philippines
|
|---|
Location:
Width:
6
| Question:
PL_SIZE - Poland: Size of community Size of residence: A variable coming from the sample description. 0 NAP, other contries
Range of Valid Data Values:
203-
120520 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1200
; Min.
203
; Max.
120520
Variable Format:
numeric |
PL_SIZE:
Size of community: Poland
|
|---|
Location:
Width:
2
| Question:
PL_SIZE - Poland: Size of community Size of residence: A variable coming from the sample description. 0 NAP, other countries 1 More than 500.000 inhabitants 2 250.000-500.000 inhabitants 3 100.000-249.999 inhabitants 4 50.000-99.999 inhabitants 5 25.000-49.999 inhabitants 6 10.000-24.999 inhabitants 7 Less than 10.000 inhabitants 8 Village
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
1293
; Min.
1
; Max.
8
Variable Format:
numeric |
RU_SIZE:
Size of community: Russia
|
|---|
Location:
Width:
2
| Question:
RU_SIZE - Russia: Size of community 0 NAP, other countries 1 More than 1.000.000 inhabitants 2 500.001-1.000.000 inhabitants 3 250.001-500.000 inhabitants 4 100.001-250.000 inhabitants 5 50.001-100.000 inhabitants 6 20.001-50.000 inhabitants 7 Urban, less than 20.000 inhabitants 8 Rural
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
97-
990 Summary Statistics:
Valid
2005
; Min.
1
; Max.
8
Variable Format:
numeric |
SE_SIZE:
Size of community: Sweden
|
|---|
Location:
Width:
2
| Question:
SE_SIZE - Sweden: Size of community Derived from register. 0 NAP, other countries 1 More than 300.000 inhabitants 2 90.000-300.000 inhabitants 3 27.000-90.000 inhabitants 4 Less than 27.000 inhabitants |