Document Description |
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Citation |
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Title: |
International Social Survey Programme 2001: Social Networks II (ISSP 2001)
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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 2001: Social Networks II (ISSP 2001)
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Identification Number: |
ZA3680
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Authoring Entity: |
M. Haller, M. Hadler, R. Ressler, Affiliation: Institut für Soziologie, Karl-Franzens-Universität Graz, Graz, Austria
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J. Kelley, M. Evans, J. Sikora, Affiliation: Melbourne Institute of
Applied Social Research, University of Melbourne, Melbourne, Australia
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M. C. Scalon, Affiliation: Instituto Universitario de Pesquisas do Rio de Janeiro, Rio de Janeiro, Brazil
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J. Pammett, H. Pyman, Affiliation: Carleton University Survey Centre, Ottawa, Canada
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C. Lehmann, P. Valenzuela, Affiliation: Centro de Estudios Públicos, Santiago, Chile
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B. Papageorgiou, Affiliation: Centre of Applied Research, Cyprus College, Nicosia, Cyprus
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K. Plecitá-Vlachová,, Affiliation: Institute of Sociology, Academy of Sciences of the Czech Republic, Prague, Czech Republic
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| J. G. Andersen, J.
Andersen, L. Torpe, H. Lolle, M. Tobiasen, S.Clement, Affiliation:
Department of Economics, Politics and Public Administration, Ålborg
University, Ålborg, Denmark
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J. Tonboe, Affiliation: Department of Social Studies and Organization, Ålborg University, Ålborg, Denmark
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O. Borre, L. Togeby, Affiliation: Department of Political Science, University of Aarhus, Denmark
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H. J. Nielsen, Affiliation: Department of Political science, University of Copenhagen, Copenhagen, Denmark
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B. Andersen, Affiliation: Department of Sociology, University of Copenhagen, Copenhagen, Denmark
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U. Kjær, Affiliation: Department of Political Science, University of Southern Denmark, Odense, Denmark
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J. Harkness, P. Mohler, E. Scholz, M. Braun, Affiliation: ZUMA, Mannheim, Germany
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| R. Jowell, A. Park, K.
Thomson, L. Jarvis, C. Bromley, S. Exley, Affiliation: National Centre
for Social Research, London, Great Britain
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P. Róbert, Affiliation: TÁRKI RT - Social Research Center, Budapest, Hungary
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Á. Utasi, Affiliation: Inst. of Political Science, Hungarian Academy of Sciences, Budapest, Hungary
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L. Diotallevi, M. Altieri, G. Lubrano, Affiliation: CENSIS, Roma, Italy
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R. Blom, H. Melin, Affiliation: Department of Sociology and Social Psychology, University of Tampere, Tampere, Finland
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E. Tanskanen, Affiliation: Statistics Finland, Helsinki, Finland
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| Y. Lemel, Affiliation:
FRANCE-ISSP Association (Centre de Recherche en Économie et
Statistique), Laboratoire de Sociologie Quantitative, Malakoff, France
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M. Forsé, Affiliation: Observatoire Français des Conjonctures Économiques (OFCE), Paris, France
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| N. Onodera, H. Aramaki,
Affiliation: NHK, Broadcasting Culture Research Institute, Public
Opinion Research Division, Tokyo, Japan
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N. Lewin-Epstein, E. Yuchtman-Yaar, Affiliation: Dept. of Sociology and Anthropology, Tel Aviv University, Tel Aviv, Israel
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L. Dowds, Affiliation: School of Policy Studies, University of Ulster at Jordanstown, Newtownabbey, Northern Ireland
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| P. Devine, Affiliation:
Institute of Governance, Public Policy and Social Research, Queen’s
University, Belfast, Northern Ireland
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A. Tabuns, I. Koroleva, Affiliation: Institute of Philosophy and Sociology, University of Latvia, Riga, Latvia
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K. Skjåk, Affiliation: Norwegian Social Science Data Services (NSD), Bergen, Norway
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T. Fløtten, Affiliation: Fafo Institute for Applied Social Science, Oslo, Norway
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D. Hallen and O. Evenshaug, Affiliation: Pedagogisk forskningsinstitutt, University of Oslo, Oslo, Norway
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K. Halvorsen, Affiliation: Oslo University College, Oslo, Norway
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J. Saglie, Affiliation: The Institute for Social Research, Oslo, Norway
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P. Gendall, Affiliation: Massey University, Department of Marketing, Palmerston North, New Zealand
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L.Guerrero, M. Mangahas, R. Abad, Affiliation: Social Weather Stations, Quezon City, Philippines
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| B. Cichomski, Affiliation:
Institute for Social Studies, Warsaw University (ISS UW) and Warsaw
School of Social Psychology (SWPS), Warsaw, Poland
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L. Khakhulina, Affiliation: Russian Centre for Public Opinion and Market Research (VCIOM), University of Moscow, Moscow, Russia
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N. Toš, Affiliation: Public Opinion and Mass Communication Research Centre (CJMMK), Ljubljana, Slovenia
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U. Pillay, Affiliation: Human Science Research Council (HSRC), Pretoria, South Africa
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J. Díez-Nicolás, Affiliation: Análisis Sociológicos Económicos y Políticos, ASEP, Madrid, Spain
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D. Joye, Affiliation: Swiss Information and Data Archive for the Social Sciences (SIDOS), Neuchâtel, Switzerland
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J. A. Davis, T. W. Smith, Affiliation: National Opinion Research Center (NORC), Chicago, USA
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P. Marsden, Affiliation: Department of Sociology, Harvard University, Cambridge, USA
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Producer: | |
Software used in Production: |
Nesstar Publisher
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Distributor: |
Zentralarchiv für Empirische Sozialforschung an der Universität zu Köln
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Study Scope |
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Topic Classification: |
Society, Culture
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Abstract: | Social relations and social network.
Topics: Number
of adult brothers and sisters; frequency of personal (visits, meetings)
and non-personal contacts (telephone, letter, fax or e-mail) with the
parents, brothers and sisters and own children; time for the journey to
where the mother lives, frequency of the contacts to relatives (uncles
and aunts, cousins, parents-in-law, brothers-in-law or sisters-in-law,
nieces and nephews, godparents); number of close friends at work place,
in the neighbourhood, and in general; sex of best close friend;
frequency of contact to the best friend; participation in activities of
groups like sports club, charitable organisation, neighbourhood,
political party, an association, and a church or religious
organisation; first and second contact person for support in
respondent's household, at money problems and in case of a depression;
frequency of helping others in household, by loaning money, by talking
to depressed persons and in giving help at job search; information
source at the search for the present job; importance of character
traits of close friends: Intelligence, helpfulness, understanding and
enjoyable company (scale); attitude to the moral obligation of adult
children to care for their parents; people who are better off should
help friends who are less well off; attitude to development of
friendships to once own advantage; attitude to a state responsibility
to provide the childcare and an adequate standard of living for old
people; personal luck assessment; feeling of being overused by family,
relatives or friends; trust in neighbours (scale); duration of living
at the place of residence; political efficacy; frequency of political
discussions with friends.
Demography: Country; number of
children less than 18 years and over 18 years; sex; age; marital
status; steady life-partner; education: years in school; employment
status of the person asked and his partner (ISCO88); supervisor status;
self-employed and number of employees; hours worked weekly; religious
denomination; church attendance; self-assessment of social class; union
membership; political self-assessment on a left-right continuum;
household size; household composition; urban or rural area.
Additionally coded: interview method.
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Universe: |
Research area: Australia, Brazil, Canada, Chile, Denmark, Germany,
Finland, France, Great Britain, Israel, Italy, Japan, Latvia, New
Zealand, Northern Ireland, Norway, Austria, Philippines, Poland,
Russia, Switzerland, Slovenia, South Africa, Spain, Czech Republic,
Hungary, USA, Republic of Cyprus
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Methodology and Processing |
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Time Method: | January 2000 to April 2002
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Data Collector: | Datacol,
Canberra (Malcolm Mearns, principal), Australia; Institute for
Empirical Social Research (IFES), Vienna, Austria; SC & C, Prague,
Czech Republic; Carleton University Survey Centre, Ottawa, Canada;
Centro de Estudios Públicos, Santiago, Chile; Car, Cyprus College,
Nicosia, Cyprus; SFI SURVEY, Copenhagen, Denmark; Statistics Finland,
Helsinki, Finland; France-ISSP, France; Institut für angewandte
Sozialwissenschaft (INFAS), Bonn, Germany; National Centre for Social
Research, London, Great Britain; TÁRKI RT - Social Research Center,
Budapest, Hungary; B. I. and Lucille Cohen, Israel; Department of
Marketing, Massey University, Palmerston North, New Zealand; Research
and Evaluation Services (RES), Northern Ireland; Norwegian Gallup
Institute AS, Oslo, Norway; Social Weather Stations (SWS), Quezon City,
Philippines; Public Opinion Research Centre (CBOS), Warsaw, Poland;
Russian Centre for Public Opinion and Market Research (VCIOM), Moskow,
Russia; Public Opinion and Mass Communication Research Centre (CJMMK),
Ljubljana, Slovenia; Community Agency for Social Enquiry (CASE),
Johannesburg, South Africa ASEP, Spain; IHA-GfK, Institut für
Marktanalysen AG, Hergiswil, Switzerland; MIS Trend, Institut pour
l’étude des marchés et les sondages d’opinion, Lausanne, Switzerland;
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
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Mode of Data Collection: |
Oral, paper and pencil resp. postal interview with standardised 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: | |
Other Study Description Materials |
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9605 |
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ZA3680_q_es.pdf Spain (Questionnaire)
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9606 |
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9611 |
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ZA3680_q_il-he.pdf Israel (Hebrew) (Questionnaire)
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9612 |
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Title: |
ZA3680_q_it.pdf Italy (Questionnaire)
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9613 |
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Title: |
ZA3680_q_jp.pdf Japan (Questionnaire)
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9614 |
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9616 |
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ZA3680_q_nirl.pdf Northern Ireland (Questionnaire)
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9617 |
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ZA3680_q_no.pdf Norway (Questionnaire)
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9618 |
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ZA3680_q_nz.pdf New Zealand (Questionnaire)
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9619 |
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ZA3680_q_ph.pdf Philippines (Questionnaire)
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9620 |
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Citation |
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Title: |
ZA3680_q_pl.pdf Poland (Questionnaire)
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9621 |
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Citation |
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Title: |
ZA3680_q_ru.pdf Russia (Questionnaire)
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9622 |
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Citation |
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Title: |
ZA3680_q_si.pdf Slovenia (Questionnaire)
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9623 |
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Citation |
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Title: |
ZA3680_q_us.pdf United States of America (Questionnaire)
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9624 |
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Citation |
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Title: |
ZA3680_q_za.pdf South Africa (Questionnaire)
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Holdings Information: | https://info1.za.gesis.org/dbksearch12/download.asp?id=9625 |
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Citation |
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Title: |
Study Descriptions for Participating Countries
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Here you will find a PDF file containing study descriptions with further information for all participating countries:
http://www.za.uni-koeln.de/data/en/issp/nspub/ZA3680_StudyDescriptions.pdf
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Related Studies |
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Related Publications |
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Other Reference Note(s) |
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Citation |
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Title: |
Further Remarks
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Data and documentation of this
ISSP module were processed by ASEP/JDS in Madrid, Spain
(http://www.asep-sa.com and http://www.jdsurvey.net) in accordance with
a cooperation agreement with the ZA. Data formats and documentation
standards can therefore be different from the other studies of the
series.
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File Description |
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File
:
ZA3680.NSDstat
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Variable Description |
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Variable Groups |
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| -
Archive and ID variables (V1-V3)
-
Substantial variables (V4-V66)
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ISSP demographics and interview char. (sex-degree, wrkst-wrk_sup, relig-party_lr, hompop-urbrural, mode)
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Ctry. specific: degree (a_degree-usa_degree)
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Ctry. specific: rinc (a_rinc-usa_rinc)
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Ctry. specific: inc (a_inco - usa_inco)
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Ctry. specific: party (a_prty - usa_prty)
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Ctry. specific: size (a_size - usa_size)
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Ctry. specific: region (a_reg - usa_reg)
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Ctry. specific: ethnic group (za_ethn - usa_ethn)
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Weight (weight)
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Archive and ID variables (V1-V3)
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| Variables within
Archive and ID variables (V1-V3)
- v1:
ZA study number
- v2:
Respondent ID
- v3:
Country
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Substantial variables (V4-V66)
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| Variables within
Substantial variables (V4-V66)
- v1:
ZA study number
- v2:
Respondent ID
- v3:
Country
- v4:
How many adult brothers or sisters
- v4r:
How many adult brothers or sisters (recoded)
- v5:
Most contact with brother or sister?
- v6:
How often visit brother or sister
- v7:
Other contact w brother or sister
- v8:
How many adult children
- v8r:
How many adult children (recoded)
- v9:
Most contact with daughter or son?
- v10:
How often adult visit son or daughter?
- v11:
Other contact with son or daughter
- v12:
How often visit father
- v13:
Other contact with father
- v14:
How often visit mother
- v15:
Other contact with mother
- v16:
How long to get to where mother lives
- v17:
How often contact with uncles or aunts
- v18:
How often contact with cousins
- v19:
How often contact with parents-in-law
- v20:
Contact w brothers-or-sisters-in-law
- v21:
Contact with nieces and nephews
- v22:
How often contact with god-parents
- v23:
Number of close friends at work place
- v23r:
Number of close friends at work place (recoded)
- v24:
Number of close friends livg near you
- v24r:
Number of close friends livg near you (recoded)
- v25:
Number of other close friends
- v25r:
Number of other close friends (recoded)
- v26:
Gender of best close friend
- v27:
How often visit your close friend
- v28:
Other contact with best close friend
- v29:
Participation: pol.party lst 12 month
- v30:
Participation: trade union o prof.ass.
- v31:
Participation: church or rel organis.
- v32:
Participation in sports group
- v33:
Participation: charitable organisation
- v34:
Participation in neighbourhood group
- v35:
Participation in other associations
- v36:
Ask f help in household when ill: 1.ch
- v37:
Ask f help in household when ill: 2.ch
- v38:
Borrow a large sum of money: 1. choice
- v39:
Borrow a large sum of money: 2. choice
- v40:
Ask for help in depression: 1. choice
- v41:
Ask for help in depression: 2. choice
- v42:
How often:help w housework lst 12 mon
- v43:
How often: lent money lst 12 months
- v44:
How often: talkg w someone depressed
- v45:
How often: helped somebody find a job
- v46:
Sources of information about jobs
- v47:
Character of close friends:intelligence
- v48:
Charact cl. friend:help get things done
- v49:
Character cl. friend:really understands
- v50:
Character cl. friend: enjoyable company
- v51:
Adult children shld care a old parents
- v52:
Take care of family,before helpg others
- v53:
People better off should help friends
- v54:
Friendship should be of use to yourself
- v55:
Gov.resp:provide childcare f everyone
- v56:
Gov:provide standard of livg f the old
- v57:
How happy do R feel on the whole
- v58:
Too many demands from family,relatives
- v59:
Only a few people you can trust compl.
- v60:
Other people want ones best most o time
- v61:
Other people take advantage of you
- v62:
How long lived in city,town,community
- v62r:
How long lived in city,town,community (recoded)
- v63:
Improvements in Rs local government
- v64:
No influence on government decicions
- v65:
How often:political discussion w friend
- v66:
How many children under 18 years
- v66r:
How many children under 18 years (recoded)
|
ISSP demographics and interview char. (sex-degree, wrkst-wrk_sup, relig-party_lr, hompop-urbrural, mode)
|
|---|
| Variables within
ISSP demographics and interview char. (sex-degree, wrkst-wrk_sup, relig-party_lr, hompop-urbrural, mode)
- v1:
ZA study number
- v2:
Respondent ID
- v6:
How often visit brother or sister
- v7:
Other contact w brother or sister
- v8r:
How many adult children (recoded)
- v9:
Most contact with daughter or son?
- v10:
How often adult visit son or daughter?
- v15:
Other contact with mother
- v16:
How long to get to where mother lives
- v18:
How often contact with cousins
- v24:
Number of close friends livg near you
- sex:
R: Sex
- age:
R: Age
- ager:
R: Age (recoded)
- marital:
R: Marital status
- cohab:
R: Steady life-partner
- educyrs:
R: Education I: years in school
- educyrsr:
R: Education I: years in school (recoded)
- degree:
R: Education II: categories
- wrkst:
R: Current employment status
- spwrkst:
S-P: Current employment status
- isco88:
R: Occupation ISCO88 (4 digits)
- isco88_3:
R: Occupation ISCO88 (3 digits)
- spisco88:
S-P: Occupation ISCO88 (4 digits)
- spisco_3:
S-P: Occupation ISCO88 (3 digits)
- wrkgovt:
R: Working for privat - public sector
- selfemp:
R: Self-employed I
- nemploy:
R: Self-employed II - how many employ
- nemployr:
R: Self-employed II - how many employ (recoded)
- wrkhrs:
R: Hours worked weekly
- wrkhrsr:
R: Hours worked weekly (recoded)
- wrksup:
R: Supervise
- relig:
R: Religious denomination
- attend:
R: Religious services - how often
- class:
R: Subjective social class
- union:
R: Trade union membership
- party_lr:
R: Party affiliation: left - right
- hompop:
How many persons in household
- hhcycle:
Household cycle
- urbrural:
Urban - Rural
- mode:
Interview method
|
Ctry. specific: degree (a_degree-usa_degree)
|
|---|
| Variables within
Ctry. specific: degree (a_degree-usa_degree)
- v1:
ZA study number
- v7:
Other contact w brother or sister
- v8:
How many adult children
- v8r:
How many adult children (recoded)
- a_degr:
Education: Austria
- za_degr:
Education: South Africa
- br_degr:
Education: Brazil
- cdn_degr:
Education: Canada
- ch_degr:
Education: Switzerland
- cy_degr:
Education: Cyprus
- cz_degr:
Education: Czech Republic
- d_degr:
Education: Germany
- dk_degr:
Education: Denmark
- e_degr:
Education: Spain
- f_degr:
Education: France
- sf_degr:
Education: Finland
- gb_degr:
Education: Great Britain
- h_degr:
Education: Hungary
- il_degr:
Education: Israel
- j_degr:
Education: Japan
- lv_degr:
Education: Latvia
- n_degr:
Education: Norway
- ni_degr:
Education: Northern Ireland
- nz_degr:
Education: New Zealand
- pl_degr:
Education: Poland
- rch_degr:
Education: Republic of Chile
- rp_degr:
Education: Philippines
- rus_degr:
Education: Russia
- slo_degr:
Education: Slovenia
- usa_degr:
Education: USA
|
Ctry. specific: rinc (a_rinc-usa_rinc)
|
|---|
| Variables within
Ctry. specific: rinc (a_rinc-usa_rinc)
- v1:
ZA study number
- v10:
How often adult visit son or daughter?
- v11:
Other contact with son or daughter
- v12:
How often visit father
- a_rinc:
R income: Austria
- za_rinc:
R income: South Africa
- aus_rinc:
R income: Australia
- br_rinc:
R income: Brazil
- cdn_rinc:
R income: Canada
- ch_rinc:
R income: Switzerland
- cy_rinc:
R income: Cyprus
- cz_rinc:
R income: Czech Republic
- d_rinc:
R Earnings: Germany
- dk_rinc:
R income: Denmark
- e_rinc:
R income: Spain
- f_rinc:
R income: France
- sf_rinc:
R income: Finland
- gb_rinc:
R income: Great Britain
- h_rinc:
R income: Hungary
- il_rinc:
R income: Israel
- j_rinc:
R income: Japan
- lv_rinc:
R income: Latvia
- n_rinc:
R income: Norway
- ni_rinc:
R Income: Northern Ireland
- nz_rinc:
R income: New Zealand
- pl_rinc:
R income: Poland
- rch_rinc:
R income: Republic of Chile
- rp_rinc:
R income: Philippines
- rus_rinc:
R income: Russia
- slo_rinc:
R income: Slovenia
- usa_rinc:
R income: USA
|
Ctry. specific: inc (a_inco - usa_inco)
|
|---|
| Variables within
Ctry. specific: inc (a_inco - usa_inco)
- v1:
ZA study number
- v12:
How often visit father
- v13:
Other contact with father
- v14:
How often visit mother
- v15:
Other contact with mother
- a_inco:
Household income: Austria
- za_inco:
Household income: South Africa
- aus_inco:
Household income: Australia
- br_inco:
Household income: Brazil
- cdn_inco:
Household income: Canada
- ch_inco:
Household income: Switzerland
- cy_inco:
Household income: Cyprus
- cz_inco:
Household income: Czech Republic
- d_inco:
Family income: Germany
- dk_inco:
Household income: Denmark
- e_inco:
Household income: Spain
- f_inco:
Household income: France
- sf_inco:
Household income: Finland
- gb_inco:
Household income: Great Britain
- h_inco:
Household income: Hungary
- i_inco:
Household income: Italy
- il_inco:
Household income: Israel
- j_inco:
Household income: Japan
- lv_inco:
Household income: Latvia
- n_inco:
Household income: Norway
- ni_inco:
Household income: Northern Ireland
- nz_inco:
Household income: New Zealand
- pl_inco:
Household income: Poland
- rch_inco:
Household income: Republic of Chile
- rp_inco:
Household income: Philippines
- rus_inco:
Household income: Russia
- slo_inco:
Household income: Slovenia
- usa_inco:
Household income: USA
|
Ctry. specific: party (a_prty - usa_prty)
|
|---|
| Variables within
Ctry. specific: party (a_prty - usa_prty)
- v1:
ZA study number
- v2:
Respondent ID
- v16:
How long to get to where mother lives
- v17:
How often contact with uncles or aunts
- v18:
How often contact with cousins
- a_prty:
R: Party affiliation: Austria
- aus_prty:
R: Party affiliation: Australia
- cdn_prty:
R: Party affiliation: Canada
- ch_prty:
R: Party affiliation: Switzerland
- cz_prty:
R: Party affiliation: Czech Republic
- d_prty:
R: Party affiliation: Germany
- dk_prty:
R: Party affiliation: Denmark
- e_prty:
R: Party affiliation: Spain
- f_prty:
R: Party affiliation: France
- sf_prty:
R: Party affiliation: Finland
- gb_prty:
R: Party affiliation: Great Britain
- h_prty:
R: Party affiliation: Hungary
- il_prty:
R: Party affiliation: Israel
- j_prty:
R: Party affiliation: Japan
- lv_prty:
R: Party affiliation: Latvia
- n_prty:
R: Party affiliation: Norway
- ni_prty:
R: Party affiliation: Northern Ireland
- nz_prty:
R: Party affiliation: New Zealand
- pl_prty:
R: Party affiliation: Poland
- rch_prty:
R: Party affiliation: Republic of Chile
- rp_prty:
R: Party affiliation: Philippines
- rus_prty:
R: Party affiliation: Russia
- slo_prty:
R: Party affiliation: Slovenia
- usa_prty:
R: Party affiliation: USA
|
Ctry. specific: size (a_size - usa_size)
|
|---|
| Variables within
Ctry. specific: size (a_size - usa_size)
- v2:
Respondent ID
- v18:
How often contact with cousins
- v19:
How often contact with parents-in-law
- v20:
Contact w brothers-or-sisters-in-law
- v21:
Contact with nieces and nephews
- a_size:
Size of community: Austria
- aus_size:
Size of community: Australia
- cdn_size:
Size of community: Canada
- cy_size:
Size of community: Cyprus
- cz_size:
Size of community: Czech Republic
- d_size:
Size of community: Germany
- dk_size:
Size of community: Denmark
- e_size:
Size of community: Spain
- f_size:
Size of community: France
- sf_size:
Size of community: Finland
- gb_size:
Size of community: Great Britain
- h_size:
Size of community: Hungary
- i_size:
Size of community: Italy
- il_size:
Size of community: Israel
- j_size:
Size of community: Japan
- lv_size:
Size of community: Latvia
- n_size:
Size of community: Norway
- nz_size:
Size of community: New Zealand
- pl_size:
Size of community: Poland
- rp_size:
Size of community: Philippines
- rus_size:
Size of community: Russia
- slo_size:
Size of community: Slovenia
- usa_size:
Size of community: USA
|
Ctry. specific: region (a_reg - usa_reg)
|
|---|
| Variables within
Ctry. specific: region (a_reg - usa_reg)
- v2:
Respondent ID
- v21:
Contact with nieces and nephews
- v22:
How often contact with god-parents
- v23:
Number of close friends at work place
- a_reg:
Region: Austria
- za_reg:
Region: South Africa
- aus_reg:
Region: Australia
- br_reg:
Region: Brazil
- cdn_reg:
Region: Canada
- ch_reg:
Region: Switzerland
- cy_reg:
Region: Cyprus
- cz_reg:
Region: Czech Republic
- d_reg:
Region: Germany
- dk_reg:
Region: Denmark
- e_reg:
Region: Spain
- f_reg:
Region: France
- sf_reg:
Region: Finland
- gb_reg:
Region: Great Britain
- h_reg:
Region: Hungary
- il_reg:
Region: Israel
- j_reg:
Region: Japan
- lv_reg:
Region: Latvia
- n_reg:
Region: Norway
- nz_reg:
Region: New Zealand
- pl_reg:
Region:Poland
- rch_reg:
Region: Republic of Chile
- rp_reg:
Region: Philippines
- rus_reg:
Region: Russia
- slo_reg:
Region: Slovenia
- usa_reg:
Region: USA
|
Ctry. specific: ethnic group (za_ethn - usa_ethn)
|
|---|
| Variables within
Ctry. specific: ethnic group (za_ethn - usa_ethn)
- v2:
Respondent ID
- v23:
Number of close friends at work place
- v23r:
Number of close friends at work place (recoded)
- v24:
Number of close friends livg near you
- za_ethn:
Ethnics: South Africa
- aus_ethn:
Ethnics: Australia
- cdn_ethn:
Ethnics: Canada
- ch_ethn:
Ethnics: Switzerland
- cy_ethn:
Ethnics: Cyprus
- cz_ethn:
Ethnics: Czech Republic
- d_ethn:
Ethnics: Germany
- dk_ethn:
Ethnics: Denmark
- sf_ethn:
Ethnics: Finland
- gb_ethn:
Ethnics: Great Britain
- h_ethn:
Ethnics: Hungary
- il_ethn:
Ethnics: Israel
- lv_ethn:
Ethnics: Latvia
- ni_ethn:
Ethnics: Northern Ireland
- nz_ethn:
Ethnics: New Zealand
- rp_ethn:
Ethnics: Philippines
- slo_ethn:
Ethnics: Slovenia
- usa_ethn:
Ethnics: USA
|
Weight (weight)
|
|---|
| Variables within
Weight (weight)
- v2:
Respondent ID
- v24:
Number of close friends livg near you
- weight:
Weighting factor
|
Variables |
v1:
ZA study number
|
|---|
Location:
Width:
4
| Question:
Zentralarchiv Study Number '3680' ISSP 2001, Social Networks II
Range of Valid Data Values:
3680-
3680 Summary Statistics:
Valid
37188
; Variable Format:
numeric |
v2:
Respondent ID
|
|---|
Location:
Width:
8
| Question:
Respondent ID-Number This number uniquely identifies each respondent.
The first two digits are identical with the country code, the next five
digits contain the original identification number.
Range of Valid Data Values:
1-
9300592 Summary Statistics:
Valid
37188
; Variable Format:
numeric |
v3:
Country
|
|---|
Location:
Width:
2
| Question:
Country 1 Australia 2 Germany-West 3 Germany-East 4 Great Britain 5 Northern Ireland 6 United States 7 Austria 8 Hungary 9 Italy 12 Norway 14 Czech Republic 15 Slovenia 16 Poland 18 Russia 19 New Zealand 20 Canada 21 Philippines 22 Israel Jews 23 Israel Arabs 24 Japan 25 Spain 26 Latvia 28 France 29 Cyprus 31 Chile 32 Denmark 33 Switzerland 35 Brazil 36 Southafrica 37 Finland
Range of Valid Data Values:
1-
37 Summary Statistics:
Valid
37188
; Variable Format:
numeric |
v4:
How many adult brothers or sisters
|
|---|
Location:
Width:
3
| Question:
Q.1
We would like to begin with your brothers and sisters. How many adult
brothers and/or sisters - we mean brothers or sisters who are age 18
and older - do you have? (We mean brothers and sisters who are still
alive. Please include stepbrothers and -sisters, half-brothers and
-sisters and adopted brothers and sisters) (If no adult brothers or sisters, CONTINUE WITH QUESTION 5.) 0 No adult brother, sister 1 1 adult brother sister 90 90 adult brothers, sisters 998 Don't know 999 NA, Refused
Range of Valid Data Values:
1-
90 Range of Invalid Data Values:
0998999 Summary Statistics:
Valid
31303
; Variable Format:
numeric |
v4r:
How many adult brothers or sisters (recoded)
|
|---|
Location:
Width:
3
| Question:
Adult brothers or sisters Recoded variable (Q.1) 0 No adult brother, sister 1 1 adult brother/sister 2 2 adult brothers/sisters 3 3 adult brothers/sisters 4 4 adult brothers/sisters 5 5 adult brothers/sisters 6 6 adult brothers/sisters 7 7 adult brothers/sisters 8 8 adult brothers/sisters 9 9 adult brothers/sisters 10 10 or more adult brothers/sisters 998 Don't know 999 Na, refused
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
0998999 Summary Statistics:
Valid
31303
; Variable Format:
numeric |
v5:
Most contact with brother or sister?
|
|---|
Location:
Width:
2
| Question:
Q.2 Of your adult brothers and sisters, with whom do you have the most contact? (Please tick one box only.) (If no contact, CONTINUE WITH QUESTION 5) 0 NAP: no brother or sister 1 With a brother 2 With a sister 6 No contact 8 Don't know 9 Na, refused in Latvia (LV): 12 with both of them
Range of Valid Data Values:
1-
12 Range of Invalid Data Values:
890 Summary Statistics:
Valid
30253
; Variable Format:
numeric |
v6:
How often visit brother or sister
|
|---|
Location:
Width:
2
| Question:
Q.3 How often do you see or visit this brother or sister? (Please tick one box only.) (If in same household, CONTINUE WITH QUESTION 5) 0 NAP: no brother or sister/ no contact 1 Lives in same household 2 Daily 3 Several times a week 4 At least once a week 5 At least once a month 6 Several times a year 7 Less often 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
890 Summary Statistics:
Valid
29372
; Variable Format:
numeric |
v7:
Other contact w brother or sister
|
|---|
Location:
Width:
2
| Question:
Q.4
And how often do you have any other contact with this brother or sister
besides visiting, either by telephone, letter, fax or e-mail? 0 NAP: no brother or sister/ same household/ no contact 1 Daily 2 Several times a week 3 At least once a week 4 At least once a month 5 Several times a year 6 Less often 8 Don't know 9 Na, refused in Brazil (BR), Northern Ireland (NIRL): 7 Never
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
890 Summary Statistics:
Valid
26831
; Variable Format:
numeric |
v8:
How many adult children
|
|---|
Location:
Width:
2
| Question:
Q.5 Now some questions about your children who are aged 18 and older.
How many children age 18 and older do you have? (We mean children who
are still alive. Please include step-children and adopted children). (If no adult children, CONTINUE WITH QUESTION 9.) 0 None, no adult children 1 One child 2 Two children 3 Three children 4 Four 5 Five 6 Six 7 Seven 8 Eight children 9 Nine children 10 Ten children 11 Eleven children 12 Twelve children 13 Thirteen children 14 Fourteen children 15 Fifteen children 17 Seventen children 18 Eighteen children 99 Na, refused
Range of Valid Data Values:
0-
18 Range of Invalid Data Values:
99 Summary Statistics:
Valid
35579
; Variable Format:
numeric |
v8r:
How many adult children (recoded)
|
|---|
Location:
Width:
2
| Question:
Adult children Recoded variable (Q.5) 0 None, no adult children 1 One child 2 Two children 3 Three children 4 Four 5 Five 6 Six 7 Seven 8 Eight children 9 Nine children 10 Ten children and more 99 Na, refused
Range of Valid Data Values:
0-
10 Range of Invalid Data Values:
99 Summary Statistics:
Valid
35579
; Variable Format:
numeric |
v9:
Most contact with daughter or son?
|
|---|
Location:
Width:
2
| Question:
Q.6 Of your children aged 18 and older, with whom do you have the most contact? (Please tick one box only) (If no contact, CONTINUE WITH QUESTION 9) 0 NAP: no adult child / Not available/ Not asked 1 With a son 2 With a daughter 6 No contact with adult child 8 Don't know 9 Na, refused in Latvia (LV), Philippines (RP): 3 Both
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
890 Summary Statistics:
Valid
16317
; Variable Format:
numeric |
v10:
How often adult visit son or daughter?
|
|---|
Location:
Width:
2
| Question:
Q.7 How often do you see this son or daughter?. (Please tick one box only.) (If in same household, CONTINUE WITH QUESTION 9) 0 NAP: no adult child, no contact/ Not available/ Not asked 1 Lives in same household 2 Daily 3 Several times a week 4 At least once a week 5 At least once a month 6 Several times a year 7 Less often 9 Na, refused
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
90 Summary Statistics:
Valid
16565
; Variable Format:
numeric |
v11:
Other contact with son or daughter
|
|---|
Location:
Width:
2
| Question:
Q.8
And how often do you have any other contact with this son or daughter
besides visiting, either by telephone, letter, fax or e-mail? 0 NAP: no adult child, no contact, in same household/ Not available/ Not asked 1 Daily 2 Several times a week 3 At least once a week 4 At least once a month 5 Several times a year 6 Less often 8 Don't know 9 Na, refused in Brazil (BR), Northern Ireland (NIRL): 7 Never
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
890 Summary Statistics:
Valid
10981
; Variable Format:
numeric |
v12:
How often visit father
|
|---|
Location:
Width:
2
| Question:
Q.9 And now some questions about your father. How often do you see or visit your father? (Please tick one box only) (If in same household, CONTINUE WITH QUESTION 11) (If not alive, CONTINUE WITH QUESTION 11) (If don't know, CONTINUE WITH QUESTION 11) 0 Not available/ Not asked 1 He lives in the same household as I do 2 Daily 3 Several times a week 4 At least once a week 5 At least once a month 6 Several times a year 7 Less often 8 Never 96 My father is no longer alive 98 I don't know where my father lives 99 Na, refused
Range of Valid Data Values:
1-
96 Range of Invalid Data Values:
98990 Summary Statistics:
Valid
35199
; Variable Format:
numeric |
v13:
Other contact with father
|
|---|
Location:
Width:
2
| Question:
Q.10
And how often do you have any other contact with your father besides
visiting, either by telephone, letter, fax or e-mail? 0 NAP: in same household, not alive, don't know where he lives/ Not available/ Not asked 1 Daily 2 Several times a week 3 At least once a week 4 At least once a month 5 Several times a year 6 Less often 7 Never 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
890 Summary Statistics:
Valid
12399
; Variable Format:
numeric |
v14:
How often visit mother
|
|---|
Location:
Width:
2
| Question:
Q.11 And what about your mother? How often do you see or visit her? (Please tick one box only) (If in same household, CONTINUE WITH QUESTION 14) (If no longer alive, CONTINUE WITH QUESTION 14) (If do not know, CONTINUE WITH QUESTION 14) 0 Not available/ Not asked 1 She lives in the same household as I do 2 Daily 3 Several times a week 4 At least once a week 5 At least once a month 6 Several times a year 7 Less often 8 Never 96 My mother is no longer alive 98 I don't know where my mother lives 99 Na, refused
Range of Valid Data Values:
1-
96 Range of Invalid Data Values:
98990 Summary Statistics:
Valid
35899
; Variable Format:
numeric |
v15:
Other contact with mother
|
|---|
Location:
Width:
2
| Question:
Q.12
How often do you have any other contact with your mother besides
visiting, either by telephone, letter, fax or e-mail? 0 NAP: in same household, not alive, don't know where she lives/ Not available/ Not asked 1 Daily 2 Several times a week 3 At least once a week 4 At least once a month 5 Several times a year 6 Less often 7 Never 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
890 Summary Statistics:
Valid
16687
; Variable Format:
numeric |
v16:
How long to get to where mother lives
|
|---|
Location:
Width:
2
| Question:
Q.13 About how long would it take to get to where your mother lives? Think of the time it usually takes door to door. (Please tick one box only) 0 NAP: in same household, not alive, don't know where she lives/ Not available/ Not asked 1 Less than 2 minutes 2 Less than 15 minutes 3 Between 15 and 30 minutes 4 Between 30 minutes and 1 hour 5 Between 1 and 2 hours 6 Between 2 and 3 hours 7 Between 3 and 5 hours 8 Between 5 and 12 hours 9 Over 12 hours 98 Don't know 99 Na, refused
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
98990 Summary Statistics:
Valid
16949
; Variable Format:
numeric |
v17:
How often contact with uncles or aunts
|
|---|
Location:
Width:
2
| Question:
Q.14
Now some questions about your contact with other relatives. Please
indicate how often you have been in contact with any of the following
types of relatives in the last four weeks. Q.14a Uncles or aunts 0 Not available/ Not asked 1 More than twice in last 4 weeks 2 Once or twice in last 4 weeks 3 Not at all in last 4 weeks 4 No living relative of this type 8 Don't know 9 NA
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
089 Summary Statistics:
Valid
35196
; Variable Format:
numeric |
v18:
How often contact with cousins
|
|---|
Location:
Width:
2
| Question:
Q.14
Now some questions about your contact with other relatives. Please
indicate how often you have been in contact with any of the following
types of relatives in the last four weeks. Q.14b Cousins 0 Not available/ Not asked 1 More than twice in last 4 weeks 2 Once or twice in last 4 weeks 3 Not at all in last 4 weeks 4 No living relative of this type 8 Don't know 9 NA
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
089 Summary Statistics:
Valid
35312
; Variable Format:
numeric |
v19:
How often contact with parents-in-law
|
|---|
Location:
Width:
2
| Question:
Q.14
Now some questions about your contact with other relatives. Please
indicate how often you have been in contact with any of the following
types of relatives in the last four weeks. Q.14c Parents-in-law 0 Not available/ Not asked 1 More than twice in last 4 weeks 2 Once or twice in last 4 weeks 3 Not at all in last 4 weeks 4 No living relative of this type 8 Don't know 9 NA
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
089 Summary Statistics:
Valid
32459
; Variable Format:
numeric |
v20:
Contact w brothers-or-sisters-in-law
|
|---|
Location:
Width:
2
| Question:
Q.14
Now some questions about your contact with other relatives. Please
indicate how often you have been in contact with any of the following
types of relatives in the last four weeks. Q.14d Brothers- or sisters-in-law 0 Not available/ Not asked 1 More than twice in last 4 weeks 2 Once or twice in last 4 weeks 3 Not at all in last 4 weeks 4 No living relative of this type 8 Don't know 9 NA
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
089 Summary Statistics:
Valid
34793
; Variable Format:
numeric |
v21:
Contact with nieces and nephews
|
|---|
Location:
Width:
2
| Question:
Q.14
Now some questions about your contact with other relatives. Please
indicate how often you have been in contact with any of the following
types of relatives in the last four weeks. Q.14e Nieces and nephews 0 Not available/ Not asked 1 More than twice in last 4 weeks 2 Once or twice in last 4 weeks 3 Not at all in last 4 weeks 4 No living relative of this type 8 Don't know 9 NA
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
089 Summary Statistics:
Valid
35034
; Variable Format:
numeric |
v22:
How often contact with god-parents
|
|---|
Location:
Width:
2
| Question:
Q.14
Now some questions about your contact with other relatives. Please
indicate how often you have been in contact with any of the following
types of relatives in the last four weeks. Q.14f Godparents 0 Not available/ Not asked 1 More than twice in last 4 weeks 2 Once or twice in last 4 weeks 3 Not at all in last 4 weeks 4 No living relative of this type 8 Don't know 9 NA
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
089 Summary Statistics:
Valid
21431
; Variable Format:
numeric |
v23:
Number of close friends at work place
|
|---|
Location:
Width:
3
| Question:
Q.15
Now we would like to ask you about people you know, other than your
family and relatives. The first question is about people at your work
place. (IF YOU DO NOT WORK FOR PAY, PLEASE CONTINUE WITH QUESTION 16.) Thinking about people at your work place, how many of them are close friends of yours? 0 None 1 1 close friend 2 2 friends 100 100 friends 995 NAV 998 Don't know 999 NA in Brazil (BR): 98 98 friends or more in Hungary (H): 10 Ten or more in Denmark, Germany, Great Britain, Northern Ireland: 996 Respondent does not work for pay in Great Britain, Northern Ireland: 997 Respondent works alone
Range of Valid Data Values:
0-
100 Range of Invalid Data Values:
800-
999 Summary Statistics:
Valid
23871
; Variable Format:
numeric |
v23r:
Number of close friends at work place (recoded)
|
|---|
Location:
Width:
3
| Question:
Number of close friends at work place. Recoded variable (Q.15) 0 None 1 1 close friend 2 2 friends 3 3 friends 4 4 friends 5 5 friends 6 6 friends 7 7 friends 8 8 friends 9 9 friends 10 10 friends or more 995 NAV 998 Don't know 999 NA in Canada (CDN): 800 Few 801 Many in Denmark, Germany, Great Britain, Northern Ireland: 996 Respondent does not work for pay in Great Britain, Northern Ireland: 997 Respondent works alone
Range of Valid Data Values:
0-
10 Range of Invalid Data Values:
800-
999 Summary Statistics:
Valid
23871
; Variable Format:
numeric |
v24:
Number of close friends livg near you
|
|---|
Location:
Width:
3
| Question:
Q.16
Thinking now of people who live near you - in your neighbourhood or
district: How many of these people are close friends of yours? 0 None 1 1 close friend 2 2 friends 150 150 friends 998 Don't know 999 NA in Canada (CDN): 800 Few 801 Many in Hungary (H): 10 Ten or more in Japan (J): 97 97 friends and more
Range of Valid Data Values:
0-
150 Range of Invalid Data Values:
800-
999 Summary Statistics:
Valid
35775
; Variable Format:
numeric |
v24r:
Number of close friends livg near you (recoded)
|
|---|
Location:
Width:
3
| Question:
Number of close friends living near you. Recoded variable (Q.16) 0 None 1 1 close friend 2 2 friends 3 3 friends 4 4 friends 5 5 friends 6 6 friends 7 7 friends 8 8 friends 9 9 friends 10 10 friends or more 995 NAV 998 Don't know 999 NA in Canada (CDN): 800 Few 801 Many in Denmark, Germany, Great Britain, Northern Ireland: 996 Respondent does not work for pay in Great Britain, Northern Ireland: 997 Respondent works alone
Range of Valid Data Values:
0-
10 Range of Invalid Data Values:
800-
999 Summary Statistics:
Valid
35775
; Variable Format:
numeric |
v25:
Number of other close friends
|
|---|
Location:
Width:
3
| Question:
Q.17
How many other close friends do you have apart from those at work, in
your neighbourhood, or family members? Think, for instance, of friends
at clubs, church, or the like. 0 None 1 1 close friend 2 2 friends 200 200 friends 998 Don't know 999 NA in Canada (CDN): 800 Few 801 Many in Hungary (H): 10 Ten or more in Japan (J): 97 97 friends and more
Range of Valid Data Values:
0-
200 Range of Invalid Data Values:
800-
999 Summary Statistics:
Valid
35889
; Variable Format:
numeric |
v25r:
Number of other close friends (recoded)
|
|---|
Location:
Width:
3
| Question:
Number of other close friends. Recoded variable (Q.25) 0 None 1 1 close friend 2 2 friends 3 3 friends 4 4 friends 5 5 friends 6 6 friends 7 7 friends 8 8 friends 9 9 friends 10 10 friends or more 995 NAV 998 Don't know 999 NA in Canada (CDN): 800 Few 801 Many in Denmark, Germany, Great Britain, Northern Ireland: 996 Respondent does not work for pay in Great Britain, Northern Ireland: 997 Respondent works alone
Range of Valid Data Values:
0-
10 Range of Invalid Data Values:
800-
999 Summary Statistics:
Valid
35889
; Variable Format:
numeric |
v26:
Gender of best close friend
|
|---|
Location:
Width:
2
| Question:
Q.18 Now think about your best friend, the friend you feel closest to (but not your partner). Is this best friend ... (Please tick one box only) (If no close friend, CONTINUE WITH QUESTION 21) 0 I don't have a close friend/ Not available/ Not asked 1 a male relative 2 a female relative 3 a man who is not a relative 4 a woman who is not a relative 8 DK 9 NA
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
31588
; Variable Format:
numeric |
v27:
How often visit your close friend
|
|---|
Location:
Width:
2
| Question:
Q.19 How often do you see or visit your friend (the friend you feel closest to)? (If in same household, CONTINUE WITH Q. 21) 0 NAP: no close friend/ Not available/ Not asked 1 Lives in same household 2 Daily 3 Several times a week 4 At least once a week 5 At least once a month 6 Several times a year 7 Less often 8 Never 9 Na, refused 98 DK
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
9890 Summary Statistics:
Valid
31422
; Variable Format:
numeric |
v28:
Other contact with best close friend
|
|---|
Location:
Width:
2
| Question:
Q.20
And how often do you have any other contact with this friend besides
visiting, either by telephone, letter, fax or e-mail? 0 NAP: no close friend, same household/ Not available/ Not asked 1 Daily 2 Several times a week 3 At least once a week 4 At least once a month 5 Several times a year 6 Less often 7 Never 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
890 Summary Statistics:
Valid
30006
; Variable Format:
numeric |
v29:
Participation: pol.party lst 12 month
|
|---|
Location:
Width:
2
| Question:
Q.21
People sometimes belong to different kinds of groups or associations.
The list below contains different types of groups. For each type of
group, please tick a box to say whether you have participated in the
activities of this group in the past 12 months. (Please tick one box on each line) 21a) A political party, club or association 0 Not available/ Not asked 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group, but never participate 4 I do not belong to such a group 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
34920
; Variable Format:
numeric |
v30:
Participation: trade union o prof.ass.
|
|---|
Location:
Width:
2
| Question:
Q.21
People sometimes belong to different kinds of groups or associations.
The list below contains different types of groups. For each type of
group, please tick a box to say whether you have participated in the
activities of this group in the past 12 months. (Please tick one box on each line) 21b) A trade union or professional association 0 Not available/ Not asked 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group, but never participate 4 I do not belong to such a group 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
34940
; Variable Format:
numeric |
v31:
Participation: church or rel organis.
|
|---|
Location:
Width:
2
| Question:
Q.21
People sometimes belong to different kinds of groups or associations.
The list below contains different types of groups. For each type of
group, please tick a box to say whether you have participated in the
activities of this group in the past 12 months. (Please tick one box on each line) 21c) A church or other religious organisation 0 Not available/ Not asked 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group, but never participate 4 I do not belong to such a group 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
35110
; Variable Format:
numeric |
v32:
Participation in sports group
|
|---|
Location:
Width:
2
| Question:
Q.21
People sometimes belong to different kinds of groups or associations.
The list below contains different types of groups. For each type of
group, please tick a box to say whether you have participated in the
activities of this group in the past 12 months. (Please tick one box on each line) 21d) A sports gruop, hobby or leisure club 0 Not available/ Not asked 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group, but never participate 4 I do not belong to such a group 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
35462
; Variable Format:
numeric |
v33:
Participation: charitable organisation
|
|---|
Location:
Width:
2
| Question:
Q.21
People sometimes belong to different kinds of groups or associations.
The list below contains different types of groups. For each type of
group, please tick a box to say whether you have participated in the
activities of this group in the past 12 months. (Please tick one box on each line) 21e) A charitable organisation or group 0 Not available/ Not asked 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group, but never participate 4 I do not belong to such a group 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
33602
; Variable Format:
numeric |
v34:
Participation in neighbourhood group
|
|---|
Location:
Width:
2
| Question:
Q.21
People sometimes belong to different kinds of groups or associations.
The list below contains different types of groups. For each type of
group, please tick a box to say whether you have participated in the
activities of this group in the past 12 months. (Please tick one box on each line) 21f) A neighbourhood association or group 0 Not available/ Not asked 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group, but never participate 4 I do not belong to such a group 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
34898
; Variable Format:
numeric |
v35:
Participation in other associations
|
|---|
Location:
Width:
2
| Question:
Q.21
People sometimes belong to different kinds of groups or associations.
The list below contains different types of groups. For each type of
group, please tick a box to say whether you have participated in the
activities of this group in the past 12 months. (Please tick one box on each line) 21g) Other associations or groups 0 Not available/ Not asked 1 I have participated more than twice 2 I have participated once or twice 3 I belong to such a group, but never participate 4 I do not belong to such a group 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
34689
; Variable Format:
numeric |
v36:
Ask f help in household when ill: 1.ch
|
|---|
Location:
Width:
2
| Question:
Q.22
Now we would like to ask you how you would get help in situations that
anyone could find herself or himself in. First, suppose you had the
’flu and had to stay in bed for a few days and needed help around the
house, with shopping and so on. Who would you turn to first for help? (Please tick one box only) 0 No one 1 Husband,wife,partner 2 Mother 3 Father 4 Daughter 5 Daughter-in-law 6 Son 7 Son-in-law 8 Sister 9 Brother 10 Other blood relative 11 Other in-law relative 12 Close friend 13 Neighbour 14 Someone you work with 15 Social services agency 16 Someone you pay to help 17 Someone else 98 Don't know 99 NA in Australia, South Africa: 18 Godparent
Range of Valid Data Values:
0-
18 Range of Invalid Data Values:
9899 Summary Statistics:
Valid
36477
; Variable Format:
numeric |
v37:
Ask f help in household when ill: 2.ch
|
|---|
Location:
Width:
2
| Question:
Q.23 And who would you turn to second if you had the ´flu and needed help around the house? (Please tick one box only) 0 No one 1 Husband,wife,partner 2 Mother 3 Father 4 Daughter 5 Daughter-in-law 6 Son 7 Son-in-law 8 Sister 9 Brother 10 Other blood relative 11 Other in-law relative 12 Close friend 13 Neighbour 14 Someone you work with 15 Social services agency 16 Someone you pay to help 17 Someone else 98 Don't know 99 NA
Range of Valid Data Values:
0-
17 Range of Invalid Data Values:
9899 Summary Statistics:
Valid
35151
; Variable Format:
numeric |
v38:
Borrow a large sum of money: 1. choice
|
|---|
Location:
Width:
2
| Question:
Q.24 Now, suppose you needed to borrow a large sum of money. Who would you turn to first for help? (Please tick one box only.) 0 No one 1 Husband,wife,partner 2 Mother 3 Father 4 Daughter 5 Son 6 Sister 7 Brother 8 Other blood relative 9 Other in-law relative 10 Godparent 11 Close friend 12 Neighbour 13 Someone you work with 14 Employer 15 Government or social service agency 16 Bank or credit union 17 Private money lender 18 Someone else 98 Don't know 99 NA
Range of Valid Data Values:
0-
18 Range of Invalid Data Values:
9899 Summary Statistics:
Valid
36315
; Variable Format:
numeric |
v39:
Borrow a large sum of money: 2. choice
|
|---|
Location:
Width:
2
| Question:
Q.25 And who would you turn to second if you needed to borrow a large sum of money? (Please tick one box only) 0 No one 1 Husband,wife,partner 2 Mother 3 Father 4 Daughter 5 Son 6 Sister 7 Brother 8 Other blood relative 9 Other in-law relative 10 Godparent 11 Close friend 12 Neighbour 13 Someone you work with 14 Employer 15 Government or social service agency 16 Bank or credit union 17 Private money lender 18 Someone else 98 Don't know 99 NA in Canada (CDN): 19 Son-in-law
Range of Valid Data Values:
0-
19 Range of Invalid Data Values:
9899 Summary Statistics:
Valid
34361
; Variable Format:
numeric |
v40:
Ask for help in depression: 1. choice
|
|---|
Location:
Width:
2
| Question:
Q.26 Now suppose you felt just a bit down or depressed, and you wanted to talk about it. Who would you turn to first for help? (Please tick one box only) 0 No one 1 Husband,wife,partner 2 Mother 3 Father 4 Daughter 5 Son 6 Sister 7 Brother 8 Other blood relative 9 In-law relative 10 Close friend 11 Neighbour 12 Someone you work with 13 Priest or member of the clergy 14 Family doctor 15 A psychologist or another professional counsellor 16 Self-help group 17 Someone else 98 Don't know 99 NA
Range of Valid Data Values:
0-
17 Range of Invalid Data Values:
9899 Summary Statistics:
Valid
36489
; Variable Format:
numeric |
v41:
Ask for help in depression: 2. choice
|
|---|
Location:
Width:
2
| Question:
Q.27 And who would you turn to second if you felt a bit down or depressed and wanted to talk about it? (Please tick one box only) 0 No one 1 Husband,wife,partner 2 Mother 3 Father 4 Daughter 5 Son 6 Sister 7 Brother 8 Other blood relative 9 In-law relative 10 Close friend 11 Neighbour 12 Someone you work with 13 Priest or member of the clergy 14 Family doctor 15 A psychologist or another professional counsellor 16 Self-help group 17 Someone else 98 Don't know 99 NA
Range of Valid Data Values:
0-
17 Range of Invalid Data Values:
9899 Summary Statistics:
Valid
34794
; Variable Format:
numeric |
v42:
How often:help w housework lst 12 mon
|
|---|
Location:
Width:
2
| Question:
Q.28
During the past 12 months, how often have you done any of the following
things for people you know personally, such as relatives, friends,
neighbours or other acquaintances? (Please tick one box on each line) Q.28a) Helped someone outside of your house-hold with housework or shopping 0 Not available/ Not asked 1 More than once a week 2 Once a week 3 Once a month 4 At least two or three times in the past year 5 Once in the past year 6 Not at all in the past year 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
890 Summary Statistics:
Valid
36011
; Variable Format:
numeric |
v43:
How often: lent money lst 12 months
|
|---|
Location:
Width:
2
| Question:
Q.28
During the past 12 months, how often have you done any of the following
things for people you know personally, such as relatives, friends,
neighbours or other acquaintances? (Please tick one box on each line) Q.28b) Lent quite a bit of money to another person 0 Not available/ Not asked 1 More than once a week 2 Once a week 3 Once a month 4 At least two or three times in the past year 5 Once in the past year 6 Not at all in the past year 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
890 Summary Statistics:
Valid
35667
; Variable Format:
numeric |
v44:
How often: talkg w someone depressed
|
|---|
Location:
Width:
2
| Question:
Q.28
During the past 12 months, how often have you done any of the following
things for people you know personally, such as relatives, friends,
neighbours or other acquaintances? (Please tick one box on each line) Q.28c) Spent time talking with someone who was a bit down or depressed 0 Not available/ Not asked 1 More than once a week 2 Once a week 3 Once a month 4 At least two or three times in the past year 5 Once in the past year 6 Not at all in the past year 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
890 Summary Statistics:
Valid
36189
; Variable Format:
numeric |
v45:
How often: helped somebody find a job
|
|---|
Location:
Width:
2
| Question:
Q.28
During the past 12 months, how often have you done any of the following
things for people you know personally, such as relatives, friends,
neighbours or other acquaintances? (Please tick one box on each line) Q.28d) Helped somebody to find a job 0 Not available/ Not asked 1 More than once a week 2 Once a week 3 Once a month 4 At least two or three times in the past year 5 Once in the past year 6 Not at all in the past year 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
890 Summary Statistics:
Valid
35617
; Variable Format:
numeric |
v46:
Sources of information about jobs
|
|---|
Location:
Width:
2
| Question:
Q.29
There are many ways people hear about jobs - from other people, from
advertisements or employment agencies, and so on. Please indicate how
you first found out about work at your present employer. (IF YOU ARE NOT CURRENTLY WORKING FOR PAY, PLEASE ANSWER THIS QUESTION FOR YOUR LAST JOB.) (Please tick one box only) 0 I have never worked for pay 1 From parents, brothers or sisters 2 From other relatives 3 From a close friend 4 From an acquaintance 5 From a public employment agency or service 6 From a private employment agency 7 From a school or university placement office 8 From an advertisement or a sign 9 The employer contacted me about a job 10 I just called them or went there to ask for work 80 Other 98 Don´t know 99 Na, refused
Range of Valid Data Values:
1-
80 Range of Invalid Data Values:
09899 Summary Statistics:
Valid
30336
; Variable Format:
numeric |
v47:
Character of close friends:intelligence
|
|---|
Location:
Width:
2
| Question:
Q.30
People look for various things in a close friend and can differ on how
important or not some things are for them. Please tick a box to say how
important or not it is for close friends of yours to be each of the
following: (Please tick one box on each line) Q.30a) Someone who is intelligent and makes me think 0 Not available/ Not asked 1 Extremely important 2 Very important 3 Fairly important 4 Not too important 5 Not at all important 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
35938
; Variable Format:
numeric |
v48:
Charact cl. friend:help get things done
|
|---|
Location:
Width:
2
| Question:
Q.30
People look for various things in a close friend and can differ on how
important or not some things are for them. Please tick a box to say how
important or not it is for close friends of yours to be each of the
following: (Please tick one box on each line) Q.30b) Someone who helps me get things done 0 Not available/ Not asked 1 Extremely important 2 Very important 3 Fairly important 4 Not too important 5 Not at all important 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
35930
; Variable Format:
numeric |
v49:
Character cl. friend:really understands
|
|---|
Location:
Width:
2
| Question:
Q.30
People look for various things in a close friend and can differ on how
important or not some things are for them. Please tick a box to say how
important or not it is for close friends of yours to be each of the
following: (Please tick one box on each line) Q.30c) Someone who really understands me 0 Not available/ Not asked 1 Extremely important 2 Very important 3 Fairly important 4 Not too important 5 Not at all important 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
36094
; Variable Format:
numeric |
v50:
Character cl. friend: enjoyable company
|
|---|
Location:
Width:
2
| Question:
Q.30
People look for various things in a close friend and can differ on how
important or not some things are for them. Please tick a box to say how
important or not it is for close friends of yours to be each of the
following: (Please tick one box on each line) Q.30d) Someone who is enjoyable company 0 Not available/ Not asked 1 Extremely important 2 Very important 3 Fairly important 4 Not too important 5 Not at all important 8 Don't know 9 Na, refused
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
36220
; Variable Format:
numeric |
v51:
Adult children shld care a old parents
|
|---|
Location:
Width:
2
| Question:
Q.31
Please tick a box on each line to indicate how much you agree or
disagree with each of the following statements. Q.31a) Adult children have a duty to look after their elderly parents 0 Not available/ Not asked 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't choose/Don't know 9 Na, refused
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
36182
; Variable Format:
numeric |
v52:
Take care of family,before helpg others
|
|---|
Location:
Width:
2
| Question:
Q.31
Please tick a box on each line to indicate how much you agree or
disagree with each of the following statements. Q.31b) You should take care of yourself and your family first, before helping other people 0 Not available/ Not asked 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't choose/Don't know 9 Na, refused
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
36206
; Variable Format:
numeric |
v53:
People better off should help friends
|
|---|
Location:
Width:
2
| Question:
Q.31
Please tick a box on each line to indicate how much you agree or
disagree with each of the following statements. Q.31c) People who are better off should help friends who are less well off 0 Not available/ Not asked 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't choose/Don't know 9 Na, refused
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
35608
; Variable Format:
numeric |
v54:
Friendship should be of use to yourself
|
|---|
Location:
Width:
2
| Question:
Q.31
Please tick a box on each line to indicate how much you agree or
disagree with each of the following statements.
Q.31d) It is all right to develop friendships with people just because
you know they can be of use to you 0 Not available/ Not asked 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't choose/Don't know 9 Na, refused
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
35688
; Variable Format:
numeric |
v55:
Gov.resp:provide childcare f everyone
|
|---|
Location:
Width:
2
| Question:
Q.32 On the whole, do you think it should or should not be the government’s responsibility to ... Q.32a) provide childcare for everyone who wants it? 0 Not available/ Not asked 1 Definitely should be 2 Probably should be 3 Probably should not be 4 Definitely should not be 8 Can't choose/ Don't know 9 NA
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
34849
; Variable Format:
numeric |
v56:
Gov:provide standard of livg f the old
|
|---|
Location:
Width:
2
| Question:
Q.32 On the whole, do you think it should or should not be the government’s responsibility to ... Q.32b) provide a decent standard of living for the old? 0 Not available/ Not asked 1 Definitely should be 2 Probably should be 3 Probably should not be 4 Definitely should not be 8 Can't choose/ Don't know 9 NA
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
36114
; Variable Format:
numeric |
v57:
How happy do R feel on the whole
|
|---|
Location:
Width:
2
| Question:
Q.33
If you were to consider your life in general these days, how happy or
unhappy would you say you are, on the whole ? 0 Not available/ Not asked 1 Very happy 2 Fairly happy 3 Not very happy 4 Not at all happy 8 Can't choose/ Don't know 9 NA
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
35950
; Variable Format:
numeric |
v58:
Too many demands from family,relatives
|
|---|
Location:
Width:
2
| Question:
Q.34 Do you feel that your family, relatives and/or friends make too many demands on you? (Please tick one box only) 0 Not available/ Not asked 1 No, never 2 Yes, but seldom 3 Yes, sometimes 4 Yes, often 5 Yes, very often 8 Don't know 9 NA
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
36724
; Variable Format:
numeric |
v59:
Only a few people you can trust compl.
|
|---|
Location:
Width:
2
| Question:
Q.35 To what extent do you agree or disagree with the following statements? (Please tick one box on each line) Q.35a) There are only a few people I can trust completely 0 Not available/ Not asked 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't choose/ Don't know 9 NA
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
36202
; Variable Format:
numeric |
v60:
Other people want ones best most o time
|
|---|
Location:
Width:
2
| Question:
Q.35 To what extent do you agree or disagree with the following statements? (Please tick one box on each line) Q.35b) Most of the time you can be sure that other people want the best for you 0 Not available/ Not asked 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't choose/ Don't know 9 NA
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
35294
; Variable Format:
numeric |
v61:
Other people take advantage of you
|
|---|
Location:
Width:
2
| Question:
Q.35 To what extent do you agree or disagree with the following statements? (Please tick one box on each line) Q.35c) If you are not careful, other people will take advantage of you 0 Not available/ Not asked 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't choose/ Don't know 9 NA
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
35606
; Variable Format:
numeric |
v62:
How long lived in city,town,community
|
|---|
Location:
Width:
4
| Question:
Q.36 How long have you lived in the city, town or local community where you live now? 0 Not available/ Not asked 1901 Since the year 1901 2003 Since the year 2003 9996 Since birth 9998 Don´t know 9999 Na
Range of Valid Data Values:
0-
9996 Range of Invalid Data Values:
99989999 Summary Statistics:
Valid
36598
; Variable Format:
numeric |
v62r:
How long lived in city,town,community (recoded)
|
|---|
Location:
Width:
2
| Question:
How long have you lived in the city, town or local community where you live now? Recoded variable (Q.36) 0 Not available/ Not asked 1 1902-1925 2 1926-1940 3 1941-1965 4 1966-1980 5 1981-1995 6 1996-2003 7 Since birth 8 Don't know 9 NA/Refused
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
809 Summary Statistics:
Valid
36598
; Variable Format:
numeric |
v63:
Improvements in Rs local government
|
|---|
Location:
Width:
2
| Question:
Q.37
Suppose you wanted the local government to bring about some improvement
in your local community. How likely is it that you would be able to do
something about it? 0 Not available/ Not asked 1 Very likely 2 Somewhat likely 3 Not very likely 4 Not at all likely 8 Don't know 9 NA
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
33322
; Variable Format:
numeric |
v64:
No influence on government decicions
|
|---|
Location:
Width:
2
| Question:
Q.38 To what extent do you agree or disagree with the following statement? People like me don't have any say about what the Government does. 0 Not available/ Not asked 1 Agree strongly 2 Agree 3 Neither agree nor disagree 4 Disagree 5 Disagree strongly 8 Can't choose 9 NA
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
23525
; Variable Format:
numeric |
v65:
How often:political discussion w friend
|
|---|
Location:
Width:
2
| Question:
Q.39 How often do you discuss politics with your friends? 0 Not available/ Not asked 1 Almost all the time 2 Most of the time 3 Occasionally 4 Almost never 8 Can't choose 9 NA
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
25444
; Variable Format:
numeric |
v66:
How many children under 18 years
|
|---|
Location:
Width:
2
| Question:
O.1 How many children under 18 years of age do you have? (Please include step-children and adopted children). 0 None, no child under 18 1 One child 2 Two children 3 Three children 4 Four 5 Five 6 Six 7 Seven 8 Eight children 9 Nine children 10 Ten children 11 Eleven children 12 Twelve children 15 Fifteen children 18 Eighteen children 27 Twenty-seven children 99 Na, refused
Range of Valid Data Values:
0-
27 Range of Invalid Data Values:
99 Summary Statistics:
Valid
29286
; Variable Format:
numeric |
v66r:
How many children under 18 years (recoded)
|
|---|
Location:
Width:
2
| Question:
Children under 18 years of age. Recoded variable (O1) 0 None, no child under 18 1 One child 2 Two children 3 Three children 4 Four 5 Five 6 Six 7 Seven 8 Eight children 9 Nine children 10 Ten or more children 99 Na, refused
Range of Valid Data Values:
0-
10 Range of Invalid Data Values:
99 Summary Statistics:
Valid
29286
; Variable Format:
numeric |
sex:
R: Sex
|
|---|
Location:
Width:
2
| Question:
Sex of the respondent. 1 Male 2 Female 9 NA, refused
Range of Valid Data Values:
1-
2 Range of Invalid Data Values:
09 Summary Statistics:
Valid
37151
; Variable Format:
numeric |
age:
R: Age
|
|---|
Location:
Width:
3
| Question:
Age of the respondent. 0 Not available/ Not asked 15 15 years 101 101 years 999 NA, refused
Range of Valid Data Values:
101-
101 Range of Invalid Data Values:
0999 Summary Statistics:
Valid
36967
; Variable Format:
numeric |
ager:
R: Age (recoded)
|
|---|
Location:
Width:
2
| Question:
Age of the respondent. Recoded variable (AGE) 0 Not available/ Not asked 1 15-24 years 2 25-34 years 3 35-44 years 4 45-54 years 5 55-64 years 6 65-101 years 9 NA/Refused
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
09 Summary Statistics:
Valid
36967
; Variable Format:
numeric |
marital:
R: Marital status
|
|---|
Location:
Width:
2
| Question:
Marital status of respondent (legal status) 0 Not available/ Not asked 1 married/living as married 2 widowed 3 divorced 4 separated 5 not married 9 NA/refused/Can't choose in Southafrica (ZA): 11 Other type of marital status
Range of Valid Data Values:
1-
11 Range of Invalid Data Values:
09 Summary Statistics:
Valid
36932
; Variable Format:
numeric |
cohab:
R: Steady life-partner
|
|---|
Location:
Width:
2
| Question:
(If not married and living together with spouse) Do you have/live together with a partner? 0 NAP: married, no partner/Not available/ Not asked 1 Yes 2 No 9 NA,refused
Range of Valid Data Values:
1-
2 Range of Invalid Data Values:
09 Summary Statistics:
Valid
13655
; Variable Format:
numeric |
educyrs:
R: Education I: years in school
|
|---|
Location:
Width:
2
| Question:
Education I - years (of full time) schooling including university but not vocational training 0 Not available/ Not asked 1 1 year 69 69 years 95 Still at school 96 Still at college, uni 97 No form school 98 Don't know 99 Na, refused in Denmark (DK): 94 Still at school, college, further educ. etc in Great Britain (GB): 94 Other answer in New Zeeland (NZ): 8 1-8 years 11 9-11 years 13 12-13 years 15 14-16 years 17 17+ years in Norway (N) : 9 7-9 years
Range of Valid Data Values:
1-
97 Range of Invalid Data Values:
09899 Summary Statistics:
Valid
31894
; Variable Format:
numeric |
educyrsr:
R: Education I: years in school (recoded)
|
|---|
Location:
Width:
2
| Question:
Education I - years (of full time) schooling including university but not vocational training. Recoded variable (EDUCYRS) 0 Not available/ Not asked 1 1-7 2 8-11 3 12-15 4 16-19 5 20-70 6 Still at school 7 Still at college,uni 8 No form school 9 Other 98 Don't know 99 NA/Refused
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
09899 Summary Statistics:
Valid
31894
; Variable Format:
numeric |
degree:
R: Education II: categories
|
|---|
Location:
Width:
2
| Question:
Education II - Highest education level / degree 0 Not available/ Not asked 1 None;still at school,university 2 Incomplete primary 3 Primary completed 4 Incomplete secondary 5 Secondary completed 6 Semi-higher, incomplete university 7 University completed 98 Don't know 99 NA
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
09998 Summary Statistics:
Valid
35290
; Variable Format:
numeric |
a_degr:
Education: Austria
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Austria Highest education level / degree. 0 Not available/ Not asked 1 None 2 Elementary and secondary school 3 Apprenticeship 4 Semi-higher incompleted 5 Semi-higher completed 6 University
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1011
; Variable Format:
numeric |
za_degr:
Education: South Africa
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: South Africa Highest education level / degree. 0 Not available/ Not asked 1 None 2 Primary 3 Grade 8 to grade 11 (std 6 to std 9) 4 Grade 12 (std 10) 5 Post-matric certificate or diploma 6 Degree 7 Other qualification
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
0 Summary Statistics:
Valid
2554
; Variable Format:
numeric |
br_degr:
Education: Brazil
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Brazil Highest education level / degree. 0 Not available/ Not asked 1 None; still at school, university 2 Incomplete primary 3 Primary completed 4 Incomplete secondary 5 Secondary completed 6 Semi-higher ,incomplete university 7 University completed 90 NA, refused
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
900 Summary Statistics:
Valid
1867
; Variable Format:
numeric |
cdn_degr:
Education: Canada
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Canada Highest education level / degree. 0 Not available/ Not asked 1 None, still at school 2 Some grade school 3 Finished grade school 4 Some high school 5 Finished high school 6 Collegue/CEGEP/some university 7 Completed university 8 Graduate studies 9 NA, refused
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
90 Summary Statistics:
Valid
1095
; Variable Format:
numeric |
ch_degr:
Education: Switzerland
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Switzerland Highest education level / degree. 0 Other education 1 Compulsory or less 2 Intermediate diploma, administrative education, Trade school, domestic science course 3 Elementary vocational training, Apprenticeship 4 Maturity, teacher training college 5 Full time vocational, vocational maturity, High professional education, federal diploma 6 Technical or vocational college, Advanced technical college 7 University, technical university (bachelor, master, doctorate) 99 Don't know
Range of Valid Data Values:
0-
7 Range of Invalid Data Values:
99 Summary Statistics:
Valid
1000
; Variable Format:
numeric |
cy_degr:
Education: Cyprus
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Cyprus Highest education level / degree. 0 Not available/ Not asked 1 None; still at school, university 2 Incomplete primary 3 Primary completed 4 Incomplete secondary 5 Secondary completed 6 Semi-higher, incomplete university 7 University completed 99 NA
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1006
; Variable Format:
numeric |
cz_degr:
Education: Czech Republic
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Czech Republic Highest education level / degree. 0 Not available/ Not asked 1 Incomplete primary 2 Primary completed 3 Lower vocational 4 General secondary, no diploma 5 Technical secondary 6 Academic secondary 7 Incomplete tertiary 8 Tertiary, bachelor 9 Tertiary, master degree 99 NA
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1194
; Variable Format:
numeric |
d_degr:
Education: Germany
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Germany Highest education level / degree. 0 Not available/ Not asked 1 Still at school 2 School left without qualification 3 Lower secondary (Hauptschule) 4 Middle school (Mittlere Reife) 5 Secondary technical (Fachhochschulreife) 6 Higher secondary (Abitur) 7 Special university qualification (Fachhochschulabschluss) 8 University 9 Other qualification 99 NA, refused
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1369
; Variable Format:
numeric |
dk_degr:
Education: Denmark
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Denmark Highest education level / degree. 0 Not available/ Not asked 1 No vocational education 2 Semiskilled worker 3 Basic vocational courses first part 4 Basic vocational courses second part or apprentice 5 Other completed vocational education (at least 12 months) 6 Short advanced education (less than 3 years) 7 Middlerange advanced education (3 to 4 years) 8 Further advanced education (more than 4 years) 9 Other vocational education 99 No answer
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1223
; Variable Format:
numeric |
e_degr:
Education: Spain
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Spain Highest education level / degree. 0 None 1 Incomplete primary 2 Primary completed 3 Incomplete secondary 4 Vocational school 5 Secondary completed 6 COU - PREU 7 Incomplete university 8 University completed
Range of Valid Data Values:
0-
8 Summary Statistics:
Valid
1214
; Variable Format:
numeric |
f_degr:
Education: France
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: France Highest education level / degree. 0 Not available/ Not asked 1 None 2 Incomplete primary (primary without CEP) 3 Primary completed (primary with CEP) 4 Incomplete secondary (French collège) 5 Secondary (profesionnal French lycée without baccalauréat) 6 Secondary (profesionnal French lycée with baccalauréat) 7 Secondary (general French lycée without baccalauréat) 8 Secondary (general French lycée with baccalauréat) 9 University degree or equivalent (baccalauréat+2 years) 10 Univ postgraduate or equivalent (baccalauréat+3years & over) 99 NA, refused
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1376
; Variable Format:
numeric |
sf_degr:
Education: Finland
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Finnland Highest education level / degree. 0 Not available/ Not asked 1 Incomplete primary/ secondary 2 Primary school 3 Lower secondary 4 Vocational education 5 General upper second 6 Vocational college 7 Polytechnics 8 Lower university degree 9 Higher university degree 99 NA
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1349
; Variable Format:
numeric |
gb_degr:
Education: Great Britain
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Great Britain Highest education level / degree. 0 Not available/ Not asked 1 No secondary qualifications 2 CSE 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 DK, NA
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
990 Summary Statistics:
Valid
910
; Variable Format:
numeric |
h_degr:
Education: Hungary
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Hungary Highest education level / degree. 0 Not available/ Not asked 1 No formal schooling 2 Less than primary 3 8 years elementary 4 Vocational 5 Vocational + maturity 6 Secondary technical + matura 7 Gymnasium, matura 8 College 9 University 99 NA, refused
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1523
; Variable Format:
numeric |
il_degr:
Education: Israel
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Israel Highest education level / degree. 0 incomplete primary 1 incomplete vocational 2 vocational compl 3 vocational with matriculation 4 incomplete academic secondary 5 academic secondary completed 6 academic secondary with matriculation 7 semi-higher, post secondary 8 incomplete university 9 university completed (BA or more) 10 NA, refused
Range of Valid Data Values:
0-
9 Range of Invalid Data Values:
10 Summary Statistics:
Valid
1199
; Variable Format:
numeric |
j_degr:
Education: Japan
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Japan Highest education level / degree. 0 Not available/ Not asked 1 Junior high completed 2 High school completed 3 Junior college completed 4 Finished university 5 Still at High school 6 Still at Junior college or University 7 Others 99 NA
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1316
; Variable Format:
numeric |
lv_degr:
Education: Latvia
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Latvia Highest education level / degree. 0 Not available/ Not asked 1 None, incomplete primary 2 Primary completed 3 Incomplete secondary 4 Complete secondary 5 Secondary professional/ vocational 6 Incomplete university 7 Higher education, University completed 9 NA
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
90 Summary Statistics:
Valid
998
; Variable Format:
numeric |
n_degr:
Education: Norway
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Norway Highest education level / degree. 0 Not available/ Not asked 1 Primary 2 Secondary vocational, incomplete 3 Secondary academic, incomplete 4 Secondary vocational, completed 5 Secondary academic, completed 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 99 NA
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1544
; Variable Format:
numeric |
ni_degr:
Education: Northern Ireland
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Northern Ireland Highest education level / degree. 0 Not applicable 1 No formal qualification 2 GCSE/O level/CSE or equivalent 3 A level or equivalent 4 Degree level or higher 5 Other qualifications 9 No answer
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1407
; Variable Format:
numeric |
nz_degr:
Education: New Zealand
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: New Zealand Highest education level / degree. 0 Not available/ Not asked 1 No form school 2 Incomplete primary 3 Complete primary 4 Incomplete secondary 5 Complete secondary 6 Professional certificate 7 Diploma 8 Bachelor's degree 9 Completed postgrad
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1135
; Variable Format:
numeric |
pl_degr:
Education: Poland
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Poland Highest education level / degree. 0 Not available/ Not asked 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
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1221
; Variable Format:
numeric |
rch_degr:
Education: Republic of Chile
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Republic of Chile Highest education level / degree. 0 Not available/ Not asked 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 CompletedNon-university higher 99 NA
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1493
; Variable Format:
numeric |
rp_degr:
Education: Philippines
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Philippines Highest education level / degree. 0 Not available/ Not asked 1 None 2 Incomplete primary 3 Primary completed 4 Incomplete secondary 5 Secondary completed 6 Incomplete university 7 University completed 8 Some vocational 9 Completed vocational 10 Post college 99 NA
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1200
; Variable Format:
numeric |
rus_degr:
Education: Russia
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Russia Highest education level / degree. 0 Not available/ Not asked 1 No formal education 2 Primary education 3 Intermediary secondary completed 4 Higher secondary non-completed (without certificate) 5 Intermediary secondary technical (trade school) 6 Higher secondary completed 7 Higher secondary technical (trade school) 8 Special secondary (college) 9 University non-completed 10 University degree 11 Post-university studies
Range of Valid Data Values:
1-
11 Range of Invalid Data Values:
0 Summary Statistics:
Valid
2000
; Variable Format:
numeric |
slo_degr:
Education: Slovenia
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: Slovenia Highest education level / degree. 0 Not available/ Not asked 1 Incomplete primary 2 Primary completed 3 Incomplete vocational 4 2-3 years vocational 5 4 years middle school 6 Incomplete university 7 Higher degree completed 8 University completed 99 NA
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
099 Summary Statistics:
Valid
1070
; Variable Format:
numeric |
usa_degr:
Education: USA
|
|---|
Location:
Width:
2
| Question:
Education Country Specific: USA Highest education level / degree. 0 LT High school 1 High school 2 Junior college 3 Bachelor 4 Graduate 97 NAP 98 DK 99 NA
Range of Valid Data Values:
0-
4 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
1148
; Variable Format:
numeric |
wrkst:
R: Current employment status
|
|---|
Location:
Width:
2
| Question:
Current employment status, current economic position, main source of living 0 Not available/ Not asked 1 Full-time employed, main job 2 Part-time employed, main job 3 Less part-time 4 Help family member 5 Unemployed 6 Student, school, education 7 Retired 8 Housewife < man> 9 Permanent disabled 10 Other, not in labour force 97 Refused 98 Don't know 99 NA in Poland (PL): 12 Temporary out of work in Brazil, Southafrica: 11 Self employed
Range of Valid Data Values:
1-
97 Range of Invalid Data Values:
09899 Summary Statistics:
Valid
36830
; Variable Format:
numeric |
spwrkst:
S-P: Current employment status
|
|---|
Location:
Width:
2
| Question:
Spouse / partner: current employment status, current economic position, main source of living 0 NAP: Not married, no partner/Not available/ Not asked 1 Full-time employed, main job 2 Part-time employed, main job 3 Less than part-time 4 Help family member 5 Unemployed 6 Studtent, school, education 7 Retired 8 Housewife (-man) 9 Permanent disabled 10 Other, not in the labour force 97 Refused 98 Don't know 99 NA in Great Britain (GB): 1 employed in Poland (PL): 12 Temporary out of work in Brazil, Southafrica: 11 Self employed
Range of Valid Data Values:
0-
12 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
33933
; Variable Format:
numeric |
isco88:
R: Occupation ISCO88 (4 digits)
|
|---|
Location:
Width:
4
| Question:
Respondent occupation, using ISCO 1988 4-digit notation. 0 Not available/Not asked 100 Armed forces 110 Armed forces 111 Soldiers 112 Officers 1000 Legislators, senior officials and managers 1110 Legislators and senior government officials 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 managers 1221 Production and operations managers in agriculture, hunting, forestryand fishing 1222 Production and operations managers in manufacturing 1223 Production and operations managers in construction 1224 Production and operations managers in wholesale and retail trade 1225 Production and operations managers in restaurants and hotels 1226 Production and operations managers in transport, storage and communications 1227 Production and operations managers in business services 1228 Production and operations managers in personal care, cleaning and related services 1229 Production and operations managers not elsewhere classified 1230 Other specialists 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 not elsewhere classified 1239 Other specialist managers not elsewhere classified 1300 General managers 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 2110 Physicists, chemist and related professionals 2111 Physicists and astronomers 2112 Meteorologists 2113 Chemists 2114 Geologists and geophysicists 2120 Mathematicians, statiscians and related professionals 2121 Mathematicians and related prefessionals 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 telecommunication 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 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 n.e.c 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 professional 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 admin professionals 2500 Education professionals n.e.c. 3000 Technicians and related asssociate professionals 3100 Physical and engineering science technicians 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 equipement 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 pilots 3145 Air traffic safety technicians 3150 Safety and quality inspectors 3151 Building and fire inspectors 3152 Safety, health and quality inspectors 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 assistants 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 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 n.e.c. 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 n.e.c. 3430 Administrative associate professionals 3431 Administative 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 n.e.c. 3440 Customs, tax and related government 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, acrobates and related associate professionals 3475 Athletes, sportspersons and related associate professionals 3480 Religious associate professionals 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 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 5000 Service workers and shop and market sales workers 5100 Personal and protective services workers 5110 Travel attendents and related workers 5111 Travel attendents 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 n.e.c. 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 n.e.c. 6130 Market-oriented crop animal producers 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 coatsal waters fishery workers 6153 Deep-sea fishery workers 6154 Hunters and trappers 6210 Subsistence agricultural and fishery workers 7000 Craft and related trade 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 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 7140 Painters, building structure cleaners and related trade workers 7141 Painters and related workers 7142 Varnishers and related painters 7143 Building structure cleaners 7200 Metal,machinery and related trades workers
7210 Metal moulders, welders, sheetmetal workers, structural-metal
preparers and related trade 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 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 equipement 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 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 tobaco 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 7510 Metal worker n.e.c. 7520 Electronics engineers n.e.c. 7900 Master craftsman, supervisor 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 and ceramics kiln and related machine operators 8139 Glass, ceramics and related plant operators n.e.c. 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 n.e.c. 8160 Power-production and related plant operators 8161 Power-production plant operators 8162 Steam-engine and boiler operators 8163 Icinerator, water-treatment and relted 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 and paper-products machine operators 8251 Printing-machine operators 8252 Bookbinding-machine operators 8253 Paper-products machine operators 8260 Textile 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 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 movile-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 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 etablishments 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 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 9995 Not classified; inadequately described 9997 Refused 9998 Don't know 9999 No answer
Range of Valid Data Values:
100-
9995 Range of Invalid Data Values:
9996-
99990 Summary Statistics:
Valid
21608
; Variable Format:
numeric |
isco88_3:
R: Occupation ISCO88 (3 digits)
|
|---|
Location:
Width:
3
| Question:
Respondent occupation, using ISCO 1988 3-digit notation. 0 Not available/Not asked 11 Armed forces 100 Legislators, senior officials and managers 110 Legislators and senior officials 111 Legislators 112 senior government official 113 Traditional chiefs and heasds of villages 114 Senior officials of special-interest organisation 120 Corporate managers 121 Directors and chiefs executives 122 Production and operations department managers 123 Other department managers 130 General managers 131 General managers 200 Professionals 210 Physical, mathematical and enginnering science professionals 211 Physicists, chemists and related professionals 212 Mathematicians, statisticians and related professionals 213 Computing professionals 214 Architects, engineers and related professionals 220 Life science and health professionals 221 Life science professionals 222 Health professionals (except nursing) 223 Nursing and midwifery professionals 230 Teaching professionals 231 College, university and higher education teaching professionals 232 Secondary education teaching professionals 233 Primary and pre-primary education teaching professionals 234 Special education teaching professionals 235 Other teaching professionals 240 Other professionals 241 Business professionals 242 Legal professionals 243 Archivists, librarians and related information professionals 244 Social science and related professionals 245 Writers and creative or performing artists 246 Religious professionals 247 Public service administrative professionals (A) 300 Technicians and associate professionals 310 Physical and engineering science technicians 311 Physical and engineering science technicians 312 Computer associate professionals 313 Optical and electronic equipement operators 314 Ship and aircraft controllers and technicians 315 Safety and quality inspectors 320 Life science and health associate professionals 321 Life science technicians and related associate professionals 322 Modern health associate professionals (except nursing) 323 Nursing and midwifery associate professionals 324 Traditional medicine practitioners and faith healers 330 Teaching associate professionals 331 Primary education teaching assoicate professionals 332 Pre-primary education teaching associate professionals 333 Special education teaching associate professionals 334 Other teaching associate professionals 340 Other associate professionals 341 Finance and sales associate professionals 342 Business services agents and trade brokers 343 Administrative associate professionals 344 Customs, tax and related government assoicate professionals 345 Police inspectors and detectives 346 Social work associate professionals 347 Artistic, entertainment and sports associate professionals 348 Religious associate professionals 400 Clerks 410 Office clerks 411 Secretaries and keyboard-operating clerks 412 Numerical clerks 413 Material-recording and transport clerks 414 Library, mail and related clerks 419 Other office clerks 420 Customer services clerks 421 Cashiers, tellers and related clerks 422 Client information clerks 500 Service workers and shop and market sales workers 510 Personal and protective services workers 511 Travel attendents and related workers 512 Housekeeping and restaurant services workers 513 Personal care and related workers 514 Other personal services workers 515 Astrologers, fortune-tellers and related workers 516 Protective services workers 520 Models, salespersons and demonstrators 521 Fashion and other models 522 Shop salespersons and demonstrators 523 Stall and market sales persons 600 Skilled agricultural and fishery workers 610 Marked-oriented skilled agricultural and fishery workers 611 Market gardeners and crop growers 612 Market-oriented animal producers and related workers 613 Market-oriented crop animal producers 614 Forestry and related workers 615 Fishery workers, hunters and trappers 620 Subsistence agricultural and fishery workers 621 Subsistence agricultural and fishery workers 700 Craft and related trades workers 710 Extraction and building trades workers 711 Miners, shotfirers, stone cutters and carvers 712 Building frame and related trades workers 713 Building finishers and related trades workers 714 Painters, building structure cleaners and related workers 720 Metal, machinery and related trades workers
721 Metal moulders, welders, sheetmetal workers, structural-metal
preparers and related trades workers 722 Blacksmiths, tool-makers and reltaed trades workers 723 Machinery mechanics and fitters 724 Electrical and electronic equipement mechanics and fitters 730 Precision, handicraft, printing and related trades workers 731 Precision workers in metal and related materials 732 Potters, glass-makers and related trades workers 733 Handicraft workers in wood, textile, leather and related materials 734 Printing and related trades workers 740 Other craft and related trades workers 741 Food processing and related trades workers 742 Wood treaters, cabinet-makers and related trades workers 743 Textile, garment and related trades workers 744 Pelt, leather and shoemaking trades workers 800 Plant and machine operators and assemblers 810 Stationary-plant and related operators 811 Mining- and mineral - processing - plant operators 812 Metal-processing-plant operators 813 Glass, ceramics and related plant operators 814 Wood-processing- and papermaking-plant operators 815 Chemical-processing-plant operators 816 Power-production and related plant operators 817 Automated-assembly-line and industrial-robot operators 820 Machine operators and assemblers 821 Metal-and mineral-products machine operators 822 Chemical-products machine operators 823 Rubber- and plastic-products machine operators 824 Wood-products machine operators 825 Printing-, binding- and paper- products machine operators 826 Textile-, fur- and leather-products machine operators 827 Food and related products machine operatos 828 Assemblers 829 Other machine operators and assemblers 830 Drivers and mobile-plant operators 831 Locomotive-engine drivers and related workers 832 Motor-vehicle drivers 833 Agricultural and other mobile-plant operators 834 ship's deck crews and related workers 900 Elementary occupations 910 Sales and services elementary occupations 911 Street vendors and related workers 912 Shoe cleaning and other street services elementary occupations 913 Domestic and related helpers, cleaners and launderers 914 Building caretakers, window and related cleaners 915 Messengers, porters, doorkeepers and related workers 916 Garbage collectors and related labourers 920 Agricultural, fishery and related labourers 921 Agricultural, gishery and related labourers 930 Labourers in mining, construction, manufacturing and transport 931 Mining and construction labourers 932 Manufacturing labourers 933 Transport labourers and freight handlers 996 Not classified; inadequate description 997 Refused 998 Don't know 999 NA
Range of Valid Data Values:
0-
996 Range of Invalid Data Values:
997998999 Summary Statistics:
Valid
3961
; Variable Format:
numeric |
spisco88:
S-P: Occupation ISCO88 (4 digits)
|
|---|
Location:
Width:
4
| Question:
Spouse/partner occupation, using ISCO 1988 4-digit notation. 0 NAP: No spouse/partner; Not available/Not asked 100 Armed forces 110 Armed forces 111 Soldiers 112 Officers 1000 Legislators, senior officials and managers 1110 Legislators and senior government officials 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 managers 1221 Production and operations managers in agriculture, hunting, forestryand fishing 1222 Production and operations managers in manufacturing 1223 Production and operations managers in construction 1224 Production and operations managers in wholesale and retail trade 1225 Production and operations managers in restaurants and hotels 1226 Production and operations managers in transport, storage and communications 1227 Production and operations managers in business services 1228 Production and operations managers in personal care, cleaning and related services 1229 Production and operations managers not elsewhere classified 1230 Other specialists 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 not elsewhere classified 1239 Other specialist managers not elsewhere classified 1300 General managers 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 2110 Physicists, chemist and related professionals 2111 Physicists and astronomers 2112 Meteorologists 2113 Chemists 2114 Geologists and geophysicists 2120 Mathematicians, statiscians and related professionals 2121 Mathematicians and related prefessionals 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 telecommunication 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 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 n.e.c 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 professional 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 admin professionals 2500 Education professionals n.e.c. 3000 Technicians and related asssociate professionals 3100 Physical and engineering science technicians 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 equipement 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 pilots 3145 Air traffic safety technicians 3150 Safety and quality inspectors 3151 Building and fire inspectors 3152 Safety, health and quality inspectors 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 assistants 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 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 n.e.c. 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 n.e.c. 3430 Administrative associate professionals 3431 Administative 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 n.e.c. 3440 Customs, tax and related government 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, acrobates and related associate professionals 3475 Athletes, sportspersons and related associate professionals 3480 Religious associate professionals 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 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 5000 Service workers and shop and market sales workers 5100 Personal and protective services workers 5110 Travel attendents and related workers 5111 Travel attendents 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 n.e.c. 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 n.e.c. 6130 Market-oriented crop animal producers 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 coatsal waters fishery workers 6153 Deep-sea fishery workers 6154 Hunters and trappers 6210 Subsistence agricultural and fishery workers 7000 Craft and related trade 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 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 7140 Painters, building structure cleaners and related trade workers 7141 Painters and related workers 7142 Varnishers and related painters 7143 Building structure cleaners 7200 Metal,machinery and related trades workers
7210 Metal moulders, welders, sheetmetal workers, structural-metal
preparers and related trade 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 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 equipement 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 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 tobaco 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 7510 Metal worker n.e.c. 7520 Electronics engineers n.e.c. 7900 Master craftsman, supervisor 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 and ceramics kiln and related machine operators 8139 Glass, ceramics and related plant operators n.e.c. 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 n.e.c. 8160 Power-production and related plant operators 8161 Power-production plant operators 8162 Steam-engine and boiler operators 8163 Icinerator, water-treatment and relted 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 and paper-products machine operators 8251 Printing-machine operators 8252 Bookbinding-machine operators 8253 Paper-products machine operators 8260 Textile 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 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 movile-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 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 etablishments 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 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 9995 Not classified; inadequately described 9997 Refused 9998 Don't know 9999 No answer
Range of Valid Data Values:
100-
9995 Range of Invalid Data Values:
9996-
99990 Summary Statistics:
Valid
12837
; Variable Format:
numeric |
spisco_3:
S-P: Occupation ISCO88 (3 digits)
|
|---|
Location:
Width:
3
| Question:
Spouse/partner occupation, using ISCO 1988 3-digit notation. 0 NAP: No spouse/partner; Not available/Not asked 11 Armed forces 100 Legislators, senior officials and managers 110 Legislators and senior officials 111 Legislators 112 senior government official 113 Traditional chiefs and heasds of villages 114 Senior officials of special-interest organisation 120 Corporate managers 121 Directors and chiefs executives 122 Production and operations department managers 123 Other department managers 130 General managers 131 General managers 200 Professionals 210 Physical, mathematical and enginnering science professionals 211 Physicists, chemists and related professionals 212 Mathematicians, statisticians and related professionals 213 Computing professionals 214 Architects, engineers and related professionals 220 Life science and health professionals 221 Life science professionals 222 Health professionals (except nursing) 223 Nursing and midwifery professionals 230 Teaching professionals 231 College, university and higher education teaching professionals 232 Secondary education teaching professionals 233 Primary and pre-primary education teaching professionals 234 Special education teaching professionals 235 Other teaching professionals 240 Other professionals 241 Business professionals 242 Legal professionals 243 Archivists, librarians and related information professionals 244 Social science and related professionals 245 Writers and creative or performing artists 246 Religious professionals 247 Public service administrative professionals (A) 300 Technicians and associate professionals 310 Physical and engineering science technicians 311 Physical and engineering science technicians 312 Computer associate professionals 313 Optical and electronic equipement operators 314 Ship and aircraft controllers and technicians 315 Safety and quality inspectors 320 Life science and health associate professionals 321 Life science technicians and related associate professionals 322 Modern health associate professionals (except nursing) 323 Nursing and midwifery associate professionals 324 Traditional medicine practitioners and faith healers 330 Teaching associate professionals 331 Primary education teaching assoicate professionals 332 Pre-primary education teaching associate professionals 333 Special education teaching associate professionals 334 Other teaching associate professionals 340 Other associate professionals 341 Finance and sales associate professionals 342 Business services agents and trade brokers 343 Administrative associate professionals 344 Customs, tax and related government assoicate professionals 345 Police inspectors and detectives 346 Social work associate professionals 347 Artistic, entertainment and sports associate professionals 348 Religious associate professionals 400 Clerks 410 Office clerks 411 Secretaries and keyboard-operating clerks 412 Numerical clerks 413 Material-recording and transport clerks 414 Library, mail and related clerks 419 Other office clerks 420 Customer services clerks 421 Cashiers, tellers and related clerks 422 Client information clerks 500 Service workers and shop and market sales workers 510 Personal and protective services workers 511 Travel attendents and related workers 512 Housekeeping and restaurant services workers 513 Personal care and related workers 514 Other personal services workers 515 Astrologers, fortune-tellers and related workers 516 Protective services workers 520 Models, salespersons and demonstrators 521 Fashion and other models 522 Shop salespersons and demonstrators 523 Stall and market sales persons 600 Skilled agricultural and fishery workers 610 Marked-oriented skilled agricultural and fishery workers 611 Market gardeners and crop growers 612 Market-oriented animal producers and related workers 613 Market-oriented crop animal producers 614 Forestry and related workers 615 Fishery workers, hunters and trappers 620 Subsistence agricultural and fishery workers 621 Subsistence agricultural and fishery workers 700 Craft and related trades workers 710 Extraction and building trades workers 711 Miners, shotfirers, stone cutters and carvers 712 Building frame and related trades workers 713 Building finishers and related trades workers 714 Painters, building structure cleaners and related workers 720 Metal, machinery and related trades workers
721 Metal moulders, welders, sheetmetal workers, structural-metal
preparers and related trades workers 722 Blacksmiths, tool-makers and reltaed trades workers 723 Machinery mechanics and fitters 724 Electrical and electronic equipement mechanics and fitters 730 Precision, handicraft, printing and related trades workers 731 Precision workers in metal and related materials 732 Potters, glass-makers and related trades workers 733 Handicraft workers in wood, textile, leather and related materials 734 Printing and related trades workers 740 Other craft and related trades workers 741 Food processing and related trades workers 742 Wood treaters, cabinet-makers and related trades workers 743 Textile, garment and related trades workers 744 Pelt, leather and shoemaking trades workers 800 Plant and machine operators and assemblers 810 Stationary-plant and related operators 811 Mining- and mineral - processing - plant operators 812 Metal-processing-plant operators 813 Glass, ceramics and related plant operators 814 Wood-processing- and papermaking-plant operators 815 Chemical-processing-plant operators 816 Power-production and related plant operators 817 Automated-assembly-line and industrial-robot operators 820 Machine operators and assemblers 821 Metal-and mineral-products machine operators 822 Chemical-products machine operators 823 Rubber- and plastic-products machine operators 824 Wood-products machine operators 825 Printing-, binding- and paper- products machine operators 826 Textile-, fur- and leather-products machine operators 827 Food and related products machine operatos 828 Assemblers 829 Other machine operators and assemblers 830 Drivers and mobile-plant operators 831 Locomotive-engine drivers and related workers 832 Motor-vehicle drivers 833 Agricultural and other mobile-plant operators 834 ship's deck crews and related workers 900 Elementary occupations 910 Sales and services elementary occupations 911 Street vendors and related workers 912 Shoe cleaning and other street services elementary occupations 913 Domestic and related helpers, cleaners and launderers 914 Building caretakers, window and related cleaners 915 Messengers, porters, doorkeepers and related workers 916 Garbage collectors and related labourers 920 Agricultural, fishery and related labourers 921 Agricultural, gishery and related labourers 930 Labourers in mining, construction, manufacturing and transport 931 Mining and construction labourers 932 Manufacturing labourers 933 Transport labourers and freight handlers 996 Not classified; inadequate description 997 Refused 998 Don't know 999 NA
Range of Valid Data Values:
0-
996 Range of Invalid Data Values:
997998999 Summary Statistics:
Valid
4013
; Variable Format:
numeric |
wrkgovt:
R: Working for privat - public sector
|
|---|
Location:
Width:
2
| Question:
Working for private versus public sector 0 Not available/ Not asked/ 1 Government 2 Public owned firm, national industry 3 Private firm, DK: including assisting spouse 6 Other, charity, voluntary sector 8 Self employed 9 NA/ Don't know
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
90 Summary Statistics:
Valid
23590
; Variable Format:
numeric |
selfemp:
R: Self-employed I
|
|---|
Location:
Width:
2
| Question:
In your (main) job, are you an employee or are you self-employed? 0 Not available/ Not asked 1 Self-employed 2 Work for someone else 8 Don't know 9 NA/ refused
Range of Valid Data Values:
1-
2 Range of Invalid Data Values:
890 Summary Statistics:
Valid
20605
; Variable Format:
numeric |
nemploy:
R: Self-employed II - how many employ
|
|---|
Location:
Width:
5
| Question:
(If self employed) Do you have any employees, If so, how many? (exact number of employees) 0 NAP: not self-employed/Not available/ Not asked 1 1 employee 750 750 employees 99996 None 99997 Refused 99998 Don't know 99999 No answer in Australia (AUS): 1000 1000 employees 5000 5000 employees 9000 9000 employees in Germany (D): 9 2-9 employees 49 10-49 employees
Range of Valid Data Values:
0-
99996 Range of Invalid Data Values:
99997-
99999 Summary Statistics:
Valid
27457
; Variable Format:
numeric |
nemployr:
R: Self-employed II - how many employ (recoded)
|
|---|
Location:
Width:
2
| Question:
(If self employed) Do you have any employees, If so, how many? (exact number of employees) Recoded variable. 0 NAP: not self-employed/Not available/ Not asked 1 1-20 employees 2 21-50 employees 3 51-80 employees 4 81-100 employees 5 101-150 employees 6 151 and more employees 7 None 8 Don't know 9 NA/ Refused
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
890 Summary Statistics:
Valid
2602
; Variable Format:
numeric |
wrkhrs:
R: Hours worked weekly
|
|---|
Location:
Width:
3
| Question:
Working hours Number of hours (usually) worked weekly 0 Not available/ Not asked 1 1 hour 96 96 and more 997 Refused 998 DK/ can't say/ varies too much 999 NA in Great Britain (GB): 95 95+ hours
Range of Valid Data Values:
0-
96 Range of Invalid Data Values:
997-
999 Summary Statistics:
Valid
30926
; Variable Format:
numeric |
wrkhrsr:
R: Hours worked weekly (recoded)
|
|---|
Location:
Width:
2
| Question:
Working hours Number of hours (usually) worked weekly Recoded variable 0 Not available/ Not asked 1 1-10 hours 2 11-20 hours 3 21-30 hours 4 31-35 hours 5 36-40 hours 6 41-50 hours 7 51-60 hours 8 61-100 hours 98 Don't know 99 NA/Refused
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
09899 Summary Statistics:
Valid
19396
; Variable Format:
numeric |
wrksup:
R: Supervise
|
|---|
Location:
Width:
2
| Question:
Supervises 0 NAP: unemployed, not in labour force/Not available/ Not asked 1 Yes, supervises 2 No, does not supervise 7 Refused 8 Don't know 9 NA in Great Britain (GB): 6 Self employed
Range of Valid Data Values:
0-
6 Range of Invalid Data Values:
789 Summary Statistics:
Valid
32351
; Variable Format:
numeric |
a_rinc:
R income: Austria
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Austria 0 No own income, no paid work 3000 below S 6000 7000 S 6000, below S 8000 9000 S 8000, below S 10000 11000 S 10000, below S 12000 13000 S 12000, below S 14000 15000 S 14000, below S 16000 17000 S 16000, below S 18000 19000 S 18000, below S 20000 21000 S 21000, below S 22000 23000 S 23000, below S 24000 25000 S 24000, below S 26000 27000 S 26000, below S 28000 29000 S 28000, below S 30000 31000 S 30000, below S 32000 34000 S 32000, below S 36000 38000 S 38000, below S 40000 42000 S 40000, below S 42000 46000 S 44000, below S 48000 50000 S 48000, below S 52000 54000 S 52000 and more 99997 NA, refused
Range of Valid Data Values:
0-
54000 Range of Invalid Data Values:
999997 Summary Statistics:
Valid
784
; Variable Format:
numeric |
za_rinc:
R income: South Africa
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: South Africa 0 Not available/ Not asked 1 No income 2 R1 to R500 3 R501 to R750 4 R751 to R1 000 5 R1 001 to R1 500 6 R1 501 to R2 000 7 R2 001 to R3 000 8 R3 001 to R5 000 9 R5 001 to R7 500 10 R7 501 to R10 000 11 R10 001 to R15 000 12 R15 001 to R20 000 13 R20 001 to R30 000 14 R30 000 and more 15 Don't know 16 No answer
Range of Valid Data Values:
1-
14 Range of Invalid Data Values:
01516 Summary Statistics:
Valid
2180
; Variable Format:
numeric |
aus_rinc:
R income: Australia
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Australia (annual income mid points) 0 No own income,no paid work 401 lowest income: AUD 401 per annum 500000 highest income: AUD 500 000 per annum 999997 Refused 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
0 Range of Invalid Data Values:
999997999998999999 Summary Statistics:
Valid
1237
; Variable Format:
numeric |
br_rinc:
R income: Brazil
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Brazil 0 None 1 lowest income: R$1,00 99998 highest income: R$99998 or more 99999 Don't know/ no answer
Range of Valid Data Values:
0-
99998 Range of Invalid Data Values:
999999 Summary Statistics:
Valid
1945
; Variable Format:
numeric |
cdn_rinc:
R income: Canada
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Canada 0 Not available/ Not asked 1 Under $15.000 2 $15.000 to $24.999 3 $25.000 to $34.999 4 $35.000 to $44.999 5 $45.000 to $54.000 6 $55.000 to $64.999 7 $65.000 to $74.999 8 $75.000 and more 99997 Refused
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
9999970 Summary Statistics:
Valid
1013
; Variable Format:
numeric |
ch_rinc:
R income: Switzerland
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Switzerland 0 Not available/ Not asked 1 lowest income 59000 highest income 99997 NA/ refused 99998 Don't know
Range of Valid Data Values:
1-
59000 Range of Invalid Data Values:
0999997999998 Summary Statistics:
Valid
729
; Variable Format:
numeric |
cy_rinc:
R income: Cyprus
|
|---|
Location:
Width:
2
| Question:
Respondent earnings in national currency Country specific: Cyprus 0 Not available/ Not asked 1 0 to 100 CY Pounds 2 101 to 200 CY Pounds 3 201 to 300 CY Pounds 4 301 to 400 CY Pounds 5 401 to 500 CY Pounds 6 501 to 600 CY Pounds 7 601 to 800 CY Pounds 8 801 to 1000 CY Pounds 9 1001 to 1200 CY Pounds 10 more than 1200 CY Pounds 98 Don't know
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
980 Summary Statistics:
Valid
922
; Variable Format:
numeric |
cz_rinc:
R income: Czech Republic
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Czech Republic 0 No income 2500 1 to 4 999 CZK 5500 5 000 to 5 999 CZK 6500 6 000 to 6 999 CZK 7500 7 000 to 7 999 CZK 8500 8 000 to 8 999 CZK 9750 9 000 to 10 499 CZK 11250 10 500 to 11 999 CZK 12750 12 000 to 14 999 CZK 17000 15 000 to 19 999 CZK 22500 20 000 to 24 999 CZK 27500 25 000 to 29 999 CZK 32500 30 000 and more CZK 99998 Don't know 99999 Not answered
Range of Valid Data Values:
0-
32500 Range of Invalid Data Values:
999998999999 Summary Statistics:
Valid
993
; Variable Format:
numeric |
d_rinc:
R Earnings: Germany
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Germany Note: The data were erroneously omitted from the integrated ISSP file.
Range of Valid Data Values:
0-
15000 Range of Invalid Data Values:
999997999999 Summary Statistics:
Valid
0
; Variable Format:
numeric |
dk_rinc:
R income: Denmark
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Denmark 0 Not available/ Not asked 1 less than 100 000 dkr year 2 100 000 to 149 999 dkr year 3 150 000 to 199 999 dkr year 4 200 000 to 249 999 dkr year 5 250 000 to 299 999 dkr year 6 300 000 to 399 999 dkr year 7 400 000 to 499 999 dkr year 8 500 000 to 599 999 dkr year 9 More than 600 000 dkr year 99998 Don't know 99999 No answer
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
9999989999990 Summary Statistics:
Valid
1238
; Variable Format:
numeric |
e_rinc:
R income: Spain
|
|---|
Location:
Width:
2
| Question:
Respondent earnings in national currency Country specific: Spain 0 Up to 50.000 ptas 1 50.001 to 75.000 2 75.001 to 100.000 3 100.001 to 150.000 4 150.001 to 200.000 5 200.001 to 275.000 6 275.001 to 350.000 7 350.001 to 500.000 8 500.001 and more 9 No answer
Range of Valid Data Values:
0-
8 Range of Invalid Data Values:
9 Summary Statistics:
Valid
729
; Variable Format:
numeric |
f_rinc:
R income: France
|
|---|
Location:
Width:
2
| Question:
Respondent earnings in national currency Country specific: France 0 No income 1 less than 3000 Francs 2 3000 to 5000 Francs 3 5000 to 7000 Francs 4 7000 to 10000 Francs 5 10000 to 15000 Francs 6 15000-20000 Francs 7 20000 to 25000 Francs 8 25000 to 30000 Francs 9 30000 to 40000 Francs 10 40000 to 50000 Francs 11 more than 50000 Francs 99 NA
Range of Valid Data Values:
0-
11 Range of Invalid Data Values:
99 Summary Statistics:
Valid
1168
; Variable Format:
numeric |
sf_rinc:
R income: Finland
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Finland 0 lowest income: 0 finnish markka 220000 highest income: 220000 finnish markka
Range of Valid Data Values:
0-
220000 Summary Statistics:
Valid
1299
; Variable Format:
numeric |
gb_rinc:
R income: Great Britain
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Great Britain 0 No income; Not in paid work 2000 GB Pound: less than 3 999 5000 GB Pound: 4 000 to 5 999 7000 GB Pound: 6 000 to 7 999 9000 GB Pound: 8 000 to 9 999 11000 GB Pound: 10 000 to 11 999 13500 GB Pound: 12 000 to 14 999 16500 GB Pound: 15 000 to 17 999 19000 GB Pound: 18 000 to 19 999 21500 GB Pound: 20 000 to 22 999 24500 GB Pound: 23 000 to 25 999 27500 GB Pound: 26 000 to 28 999 30500 GB Pound: 29 000 to 31 999 33500 GB Pound: 32 000 to 34 999 36500 GB Pound: 35 000 to 37 999 39500 GB Pound: 38 000 to 40 999 42500 GB Pound: 41 000 to 43 999 45500 GB Pound: 44 000 to 46 999 48500 GB Pound: 47 000 to 49 999 51500 GB Pound: 50 000 to 52 999 54500 GB Pound: 53 000 and more 999997 Refused 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
54500 Range of Invalid Data Values:
999997999998999999 Summary Statistics:
Valid
887
; Variable Format:
numeric |
h_rinc:
R income: Hungary
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Hungary 0 No own income; no paid work 4000 lowest income: 4000 forints 300000 highest income: 300000 forints 999997 Refused 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
300000 Range of Invalid Data Values:
999997999998999999 Summary Statistics:
Valid
1328
; Variable Format:
numeric |
il_rinc:
R income: Israel
|
|---|
Location:
Width:
2
| Question:
Respondent earnings in national currency Country specific: Israel 0 No own income; no paid work 1 up to 2000 israeli shekel 2 2001-4000 israeli shekel 3 4001-6000 israeli shekel 4 6001-8000 israeli shekel 5 8001-10000 israeli shekel 6 10001-15000 israeli shekel 7 more than 15000 israeli shekel 8 refused 9 don't know
Range of Valid Data Values:
0-
7 Range of Invalid Data Values:
89 Summary Statistics:
Valid
712
; Variable Format:
numeric |
j_rinc:
R income: Japan
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Japan 0 No income 500 less than 1,000,000 yen 1500 1,000,000 yen to 1,999,999 yen 2500 2,000,000 yen to 2,999,999 yen 3500 3,000,000 yen to 3,999,999 yen 4500 4,000,000 yen to 4,999,999 yen 5500 5,000,000 yen to 5,999,999 yen 6500 6,000,000 yen to 6,999,999 yen 7500 7,000,000 yen to 7,999,999 yen 8500 8,000,000 yen to 8,999,999 yen 9500 9,000,000 yen to 9,999,999 yen 11000 10,000,000 yen to 11,999,999 yen 13500 12,000,000 yen to 14,999,999 yen 20000 15,000,000 yen or more 999997 Refused 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
20000 Range of Invalid Data Values:
999997999998999999 Summary Statistics:
Valid
1282
; Variable Format:
numeric |
lv_rinc:
R income: Latvia
|
|---|
Location:
Width:
4
| Question:
Respondent earnings in national currency Country specific: Latvia 0 No own income,no paid work 2 2 Lats 2000 2000 Lats 9997 Refused 9998 Don't know 9999 NA
Range of Valid Data Values:
0-
2000 Range of Invalid Data Values:
999799989999 Summary Statistics:
Valid
949
; Variable Format:
numeric |
n_rinc:
R income: Norway
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Norway 0 Not available/ Not asked 4 lowest income 1830 highest income 999999 DK/NA
Range of Valid Data Values:
4-
1830 Range of Invalid Data Values:
0999999 Summary Statistics:
Valid
1393
; Variable Format:
numeric |
ni_rinc:
R Income: Northern Ireland
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Northern Ireland 0 Not applicable 1500 1500 £ 3500 3500 £ 5500 5500 £ 8500 8500 £ 12500 12500 £ 17500 17500 £ 23000 23000 £ 28000 28000 £ 35000 35000 £ 40000 40000 £ 999997 Refused 999998 Don´t know
Range of Valid Data Values:
1500-
40000 Range of Invalid Data Values:
9999979999980 Summary Statistics:
Valid
908
; Variable Format:
numeric |
nz_rinc:
R income: New Zealand
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: New Zealand 0 Not available/ Not asked 10000 less than 10,000 NZ dollars 12500 12,500 NZ dollars 17500 17,500 NZ dollars 22500 22,500 NZ dollars 27500 27,500 NZ dollars 35000 35,000 NZ dollars 45000 45,000 NZ dollars 60000 60,000 NZ dollars 85000 85,000 NZ dollars 100000 more than 100,000 NZ dollars
Range of Valid Data Values:
10000-
100000 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1086
; Variable Format:
numeric |
pl_rinc:
R income: Poland
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Poland 0 No own income; no paid work 50 lowest income: 50 PLN 10000 highest income: 10 000 PLN 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
10000 Range of Invalid Data Values:
999998999999 Summary Statistics:
Valid
1190
; Variable Format:
numeric |
rch_rinc:
R income: Republic of Chile
|
|---|
Location:
Width:
2
| Question:
Respondent earnings in national currency Country specific: Republic of Chile 0 Not available/ Not asked 1 Less than $35.000 2 $35.001 to $56.000 3 $56.001 to $78.000 4 $78.001 to $101.000 5 $101.001 to $134.000 6 $134.001 to $179.000 7 $179.001 to $224.000 8 $224.001 to $291.000 9 $291.001 to $358.000 10 $358.001 to $448.000 11 $448.001 to $1.000.000 12 $1.000.001 to $2.000.000 13 $2.000.001 to $3.000.000 14 More than $3.000.000 88 Don't know 99 NA
Range of Valid Data Values:
1-
14 Range of Invalid Data Values:
88990 Summary Statistics:
Valid
1307
; Variable Format:
numeric |
rp_rinc:
R income: Philippines
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Philippines 0 Not available/ Not asked 200 lowest income: 200 PHP 50000 highest income: 50000 PHP 999997 Refused 999998 Don't know 999999 No answer
Range of Valid Data Values:
0-
0 Range of Invalid Data Values:
999997-
999999 Summary Statistics:
Valid
1170
; Variable Format:
numeric |
rus_rinc:
R income: Russia
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Russia 0 Not available/ Not asked 110 lowest income: 110 rouble 70000 highest income: 70 000 rouble 999999 No answer
Range of Valid Data Values:
110-
70000 Range of Invalid Data Values:
0999999 Summary Statistics:
Valid
974
; Variable Format:
numeric |
slo_rinc:
R income: Slovenia
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: Slovenia 0 No own income,no paid work 4 Lowest income: 4 000 Tolar or less 480 highest income: 480 000 Tolar or more 999997 Refused 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
480 Range of Invalid Data Values:
999997999998999999 Summary Statistics:
Valid
850
; Variable Format:
numeric |
usa_rinc:
R income: USA
|
|---|
Location:
Width:
6
| Question:
Respondent earnings in national currency Country specific: USA 0 No income 500 lowest income: $500 or less 100000 $100000 999996 highest income: $110000 and more 999997 Refused 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
999996 Range of Invalid Data Values:
999997999998999999 Summary Statistics:
Valid
1101
; Variable Format:
numeric |
a_inco:
Household income: Austria
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Austria 0 No own income, no paid work 3000 below S 6000 7000 S 6000, below S 8000 9000 S 8000, below S 10000 11000 S 10000, below S 12000 13000 S 12000, below S 14000 15000 S 14000, below S 16000 17000 S 16000, below S 18000 19000 S 18000, below S 20000 21000 S 21000, below S 22000 23000 S 23000, below S 24000 25000 S 24000, below S 26000 27000 S 26000, below S 28000 29000 S 28000, below S 30000 31000 S 30000, below S 32000 34000 S 32000, below S 36000 38000 S 38000, below S 40000 42000 S 40000, below S 42000 46000 S 44000, below S 48000 50000 S 48000, below S 52000 54000 S 52000 and more 999997 NA, refused
Range of Valid Data Values:
0-
54000 Range of Invalid Data Values:
999997 Summary Statistics:
Valid
677
; Variable Format:
numeric |
za_inco:
Household income: South Africa
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: South Africa 0 Not available/ Not asked 1 No income 2 R1 to R500 3 R501 to R750 4 R751 to R1 000 5 R1 001 to R1 500 6 R1 501 to R2 000 7 R2 001 to R3 000 8 R3 001 to R5 000 9 R5 001 to R7 500 10 R7 501 to R10 000 11 R10 001 to R15 000 12 R15 001 to R20 000 13 R20 001 to R30 000 14 R30 000 and more 15 Don't know 16 No answer
Range of Valid Data Values:
1-
14 Range of Invalid Data Values:
01516 Summary Statistics:
Valid
1969
; Variable Format:
numeric |
aus_inco:
Household income: Australia
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Australien 0 No own income,no paid work 401 lowest income: AUD 401 per annum 700000 highest income: AUD 700 000 per annum 999997 Refused 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
999999 Summary Statistics:
Valid
1352
; Variable Format:
numeric |
br_inco:
Household income: Brazil
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Brazil 0 None 15 Lowest income: R$15,00 99998 Highest income: R$99998 and more 999999 Don't know/ no answer
Range of Valid Data Values:
0-
99998 Range of Invalid Data Values:
999999 Summary Statistics:
Valid
1825
; Variable Format:
numeric |
cdn_inco:
Household income: Canada
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Canada 0 Not available/ Not asked 1 Under $15.000 2 $15.000 to $24.999 3 $25.000 to $34.999 4 $35.000 to $44.999 5 $45.000 to $54.000 6 $55.000 to $64.999 7 $65.000 to $74.999 8 $75.000 and more 999997 Refused
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
9999970 Summary Statistics:
Valid
1006
; Variable Format:
numeric |
ch_inco:
Household income: Switzerland
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Switzerland 0 Not available/ Not asked 120 Lowest income: 120 CHF 65000 Highest income: 65000 CHF 999997 NA,refused 999998 Dont know
Range of Valid Data Values:
120-
65000 Range of Invalid Data Values:
0999997999998 Summary Statistics:
Valid
665
; Variable Format:
numeric |
cy_inco:
Household income: Cyprus
|
|---|
Location:
Width:
2
| Question:
Family income in national currency. Country specific: Cyprus 0 Not available/ Not asked 1 0 to 200 CY Pounds 2 201 to 300 CY Pounds 3 301 to 500 CY Pounds 4 501 to 700 CY Pounds 5 701 to 900 CY Pounds 6 901 to 1100 CY Pounds 7 1101 to 1300 CY Pounds 8 1301 to 1500 CY Pounds 9 1501 to 1700 CY Pounds 10 more than 1700 CY Pounds 98 Don't know
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
980 Summary Statistics:
Valid
843
; Variable Format:
numeric |
cz_inco:
Household income: Czech Republic
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Czech Republic 0 Not available/ Not asked 3000 1 to 5 999 CZK 8000 6 000 to 8 999 CZK 10000 9 000 to 10 999 CZK 12000 11 000 to 12 999 CZK 14000 13 000 to 14 999 CZK 16000 15 000 to 16 999 CZK 18500 17 000 to 19 999 CZK 21500 20 000 to 22 999 CZK 24500 23 000 to 25 999 CZK 28000 26 000 to 29 999 CZK 32500 30 000 to 34 999 CZK 37500 35 000 and more CZK 999998 Don't know 999999 Not answered
Range of Valid Data Values:
3000-
37500 Range of Invalid Data Values:
9999989999990 Summary Statistics:
Valid
865
; Variable Format:
numeric |
d_inco:
Family income: Germany
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Germany Note: The data were erroneously omitted from the integrated ISSP file.
Range of Valid Data Values:
0-
13500 Range of Invalid Data Values:
999997999998999999 Summary Statistics:
Valid
0
; Variable Format:
numeric |
dk_inco:
Household income: Denmark
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Denmark 0 Not available/ Not asked 1 less than 100 000 dkr year 2 100 000 to 149 999 dkr year 3 150 000 to 199 999 dkr year 4 200 000 to 249 999 dkr year 5 250 000 to 299 999 dkr year 6 300 000 to 399 999 dkr year 7 400 000 to 499 999 dkr year 8 500 000 to 599 999 dkr year 9 600 000 to 699 999 dkr year 10 700 000 to 799 999 dkr year 11 800 000 to 899 999 dkr year 12 900 000 to 999 999 dkr year 13 more than 1 million dkr year 999998 Don't know 999999 No answer
Range of Valid Data Values:
1-
13 Range of Invalid Data Values:
9999989999990 Summary Statistics:
Valid
1224
; Variable Format:
numeric |
e_inco:
Household income: Spain
|
|---|
Location:
Width:
2
| Question:
Family income in national currency. Country specific: Spain 0 Up to 50.000 ptas 1 50.001 to 75.000 2 75.001 to 100.000 3 100.001 to 150.000 4 150.001 to 200.000 5 200.001 to 275.000 6 275.001 to 350.000 7 350.001 to 500.000 8 500.001 and more 9 No answer
Range of Valid Data Values:
0-
8 Range of Invalid Data Values:
9 Summary Statistics:
Valid
824
; Variable Format:
numeric |
f_inco:
Household income: France
|
|---|
Location:
Width:
2
| Question:
Family income in national currency. Country specific: France 0 Not available/ Not asked 1 less than 3000 Francs 2 3000 to 5000 Francs 3 5000 to 7000 Francs 4 7000 to 10000 Francs 5 10000 to 15000 Francs 6 15000 to 20000 Francs 7 20000 to 25000 Francs 8 25000 to 30000 Francs 9 30000 to 40000 Francs 10 40000 to 50000 Francs 11 more than 50000 Francs 99 NA
Range of Valid Data Values:
1-
11 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1169
; Variable Format:
numeric |
sf_inco:
Household income: Finland
|
|---|
Location:
Width:
7
| Question:
Family income in national currency. Country specific: Finland 0 No income 15 15 finnish Markk 1400000 1400000 finnish Markk
Range of Valid Data Values:
0-
1400000 Summary Statistics:
Valid
1243
; Variable Format:
numeric |
gb_inco:
Household income: Great Britain
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Great Britain 0 No income; Not in paid work 2000 less than GBP 3 999 5000 GBP 4 000 to 5 999 7000 GBP 6 000 to 7 999 9000 GBP 8 000 to 9 999 11000 GBP 10 000 to 11 999 13500 GBP 12 000 to 14 999 16500 GBP 15 000 to 17 999 19000 GBP 18 000 to 19 999 21500 GBP 20 000 to 22 999 24500 GB: 23 000 - 25 999 27500 GBP 26 000 to 28 999 30500 GBP 29 000 to 31 999 33500 GBP 32 000 to 34 999 36500 GBP 35 000 to 37 999 39500 GBP 38 000 to 40 999 42500 GBP 41 000 to 43 999 45500 GBP 44 000 to 46 999 48500 GBP 47 000 to 49 999 51500 GBP 50 000 to 52 999 54500 GBP 53 000 and more 999997 Refused 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
54500 Range of Invalid Data Values:
999997999998999999 Summary Statistics:
Valid
816
; Variable Format:
numeric |
h_inco:
Household income: Hungary
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Hungary 0 No income 17000 Lowest income: 17000 Forints 600000 Highest income: 600000 Forints 999997 Refused 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
600000 Range of Invalid Data Values:
999997999998999999 Summary Statistics:
Valid
843
; Variable Format:
numeric |
i_inco:
Household income: Italy
|
|---|
Location:
Width:
2
| Question:
Family income in national currency. Country specific: Italy 0 Not available/ Not asked 1 Up to 1000 2 1001 to 2000 3 2001 to 3000 4 3001 to 4000 5 More than 4000 6 NA, refused
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
0 Summary Statistics:
Valid
959
; Variable Format:
numeric |
il_inco:
Household income: Israel
|
|---|
Location:
Width:
2
| Question:
Family income in national currency. Country specific: Israel 0 No own income, no paid work 1 Up to 2000 israeli shekel 2 2001 to 4000 israeli shekel 3 4001 to 6000 israeli shekel 4 6001 to 8000 israeli shekel 5 8001to 10000 israeli shekel 6 10001 to 15000 israeli shekel 7 15001 to 20000 israeli shekel 8 20001 to 30000 israeli shekel 9 More than 30000 israeli shekel 10 Refused 11 Don't know
Range of Valid Data Values:
0-
9 Range of Invalid Data Values:
1011 Summary Statistics:
Valid
920
; Variable Format:
numeric |
j_inco:
Household income: Japan
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Japan 0 No income 1000 Less than 2,000,000 yen 2500 2,000,000 yen-2,999,999 yen 3500 3,000,000 yen-3,999,999 yen 4500 4,000,000 yen-4,999,999 yen 5500 5,000,000 yen-5,999,999 yen 6500 6,000,000 yen-6,999,999 yen 7500 7,000,000 yen-7,999,999 yen 8500 8,000,000 yen-8,999,999 yen 9500 9,000,000 yen-9,999,999 yen 11000 10,000,000 yen-11,999,999 yen 13500 12,000,000 yen-14,999,999 yen 20000 15,000,000 yen or more 999997 Refused 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
20000 Range of Invalid Data Values:
999997999998999999 Summary Statistics:
Valid
1220
; Variable Format:
numeric |
lv_inco:
Household income: Latvia
|
|---|
Location:
Width:
4
| Question:
Family income in national currency. Country specific: Latvia 0 No income 8 8 Lats 2000 2000 Lats 9997 Refused 9998 Don't know 9999 NA
Range of Valid Data Values:
0-
2000 Range of Invalid Data Values:
999799989999 Summary Statistics:
Valid
905
; Variable Format:
numeric |
n_inco:
Household income: Norway
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Norway 0 Not available/ Not asked 8 Lowest income 9000 Highest income 999999 DK/NA
Range of Valid Data Values:
8-
9000 Range of Invalid Data Values:
0999999 Summary Statistics:
Valid
1372
; Variable Format:
numeric |
ni_inco:
Household income: Northern Ireland
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Northern Ireland 0 Not applicable 1500 1500 £ 3500 3500 £ 5500 5500 £ 8500 8500 £ 12500 12500 £ 17500 17500 £ 23000 23000 £ 28000 28000 £ 35000 35000 £ 40000 40000 £ 999997 Refused 999998 Don't know
Range of Valid Data Values:
1500-
40000 Range of Invalid Data Values:
9999979999980 Summary Statistics:
Valid
810
; Variable Format:
numeric |
nz_inco:
Household income: New Zealand
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: New Zealand 0 Not available/ Not asked 15000 Less than 15,000 NZ dollars 17500 17,500 NZ dollars 25000 25,000 NZ dollars 35000 35,000 NZ dollars 45000 45,000 NZ dollars 55000 55,000 NZ dollars 65000 65,000 NZ dollars 75000 75,000 NZ dollars 90000 90,000 NZ dollars 100000 more than 100,000 NZ dollars
Range of Valid Data Values:
15000-
100000 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1029
; Variable Format:
numeric |
pl_inco:
Household income: Poland
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Poland 0 No income 50 50 PLN 23000 23000 PLN 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
23000 Range of Invalid Data Values:
999998999999 Summary Statistics:
Valid
1122
; Variable Format:
numeric |
rch_inco:
Household income: Republic of Chile
|
|---|
Location:
Width:
2
| Question:
Family income in national currency. Country specific: Republic of Chile 0 Not available/ Not asked 1 Less than $35.000 2 $35.001 to $56.000 3 $56.001 to $78.000 4 $78.001 to $101.000 5 $101.001 to $134.000 6 $134.001 to $179.000 7 $179.001 to $224.000 8 $224.001 to $291.000 9 $291.001 to $358.000 10 $358.001 to $448.000 11 $448.001 to $1.000.000 12 $1.000.001 to $2.000.000 13 $2.000.001 to $3.000.000 14 More than $3.000.000 88 Don't know 99 NA
Range of Valid Data Values:
1-
14 Range of Invalid Data Values:
88990 Summary Statistics:
Valid
1271
; Variable Format:
numeric |
rp_inco:
Household income: Philippines
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Philippines 0 Not available/ Not asked 200 Lowest income: 200 PHP 150000 Highest income: 150000 PHP 999997 Refused 999998 Don't know 999999 No answer
Range of Valid Data Values:
0-
0 Range of Invalid Data Values:
999997-
999999 Summary Statistics:
Valid
1156
; Variable Format:
numeric |
rus_inco:
Household income: Russia
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Russia 0 Not available/ Not asked 50 Lowest income: 50 rouble 175000 Highest income: 175000 rouble 999999 No answer
Range of Valid Data Values:
50-
175000 Range of Invalid Data Values:
0999999 Summary Statistics:
Valid
1867
; Variable Format:
numeric |
slo_inco:
Household income: Slovenia
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: Slovenia 0 No income 30 Lowest income: less than 30 000 Tolar 996 Highest income: more than 996 000 Tolar 999997 Refused 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
996 Range of Invalid Data Values:
999997999998999999 Summary Statistics:
Valid
647
; Variable Format:
numeric |
usa_inco:
Household income: USA
|
|---|
Location:
Width:
6
| Question:
Family income in national currency. Country specific: USA 0 No income 500 Lowest income: less than $500 100000 $100000 999996 Highest income: more than $110000 999997 Refused 999998 Don't know 999999 NA
Range of Valid Data Values:
0-
999996 Range of Invalid Data Values:
999997999998999999 Summary Statistics:
Valid
1053
; Variable Format:
numeric |
relig:
R: Religious denomination
|
|---|
Location:
Width:
2
| Question:
Religious denomination 0 Not available/ Not asked 10 Roman Catholic 11 Greek Catholic 20 Jewish 30 Muslim, Islam 31 Druse 33 Mennonite 35 Jehuvah's witness 36 Born Again Christian 37 Church of god 38 Reform 40 Baptist 41 Methodist 42 Lutheran, evangelical church 43 Presbyterian, Church of Scotland 44 Church of England, Ireland, Anglican 45 URC/ Congregational 46 Episcopal 47 Unitarians 48 Protestant (ev)free church 49 Protestant (not else class), reformated 50 Shinto 51 Hindu 52 Buddhists 53 Sikh 54 Orthodox; Eastern Orthodox 60 Free Presbytarian 61 Brethren 62 Pentecostal 63 Mormon 64 Salvation Army, Assemblies of God 65 Seventh Day Adventists 66 Ratana 67 Hussites 81 No Protestant Pentecostal 90 None 91 No denomination given 92 Other christian religion 93 Other non-christian 94 Other not classified 98 Don't know 99 NA, refused in Brazil (BR): 70 Afro Brazilian religion 80 Protestant Pentecostal in Canada (CDN): 55 United Church in Philippines (RP): 12 Aglipayan in Southafrica (ZA): 7 Other black independent churches 8 Nederduitse Gereform Kerk in Spain (E): 9 Christian in United States (USA): 68 Native American 69 Inter-Nondenomination
Range of Valid Data Values:
7-
94 Range of Invalid Data Values:
98990 Summary Statistics:
Valid
35781
; Variable Format:
numeric |
attend:
R: Religious services - how often
|
|---|
Location:
Width:
2
| Question:
Attendance of religious services 0 NAP: no religion/Not available/ Not asked 1 Once a week or more 2 2-3 times a month 3 Once a month 4 Several times a year 5 Less frequently a year 6 Never 8 DK/ Varies too much 9 NA/ refused in Great Britain (GB): 2 At least once in two weeks 3 At least once in a month in Philippines (RP): 7 Once a year
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
890 Summary Statistics:
Valid
33340
; Variable Format:
numeric |
class:
R: Subjective social class
|
|---|
Location:
Width:
2
| Question:
Subjective social class 0 None of these 1 Lower class 2 Working class 3 Lower middle class 4 Middle 5 Upper middle 6 Upper 7 Classification refused 8 DK/ Can't choose 9 NA
Range of Valid Data Values:
0-
7 Range of Invalid Data Values:
89 Summary Statistics:
Valid
34067
; Variable Format:
numeric |
union:
R: Trade union membership
|
|---|
Location:
Width:
2
| Question:
Is respondent member of a trade union? 0 NAP: unemployed, not in labour force. self-employed 1 Member 2 No member 8 Don't know 9 NA, refused in Canada (CDN): 3 Member only in the past; in Philippines, Latvia, Russia : 3 Once member, not now in Philippines, Russia: 4 Never a member
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
890 Summary Statistics:
Valid
28658
; Variable Format:
numeric |
party_lr:
R: Party affiliation: left - right
|
|---|
Location:
Width:
2
| Question:
Party affiliation - coded in a left - right scheme 0 Not available/ Not asked 1 Far left, etc 2 Left, center left 3 Center, liberal 4 Right, conservative 5 Far right, etc 6 Other, no specific 7 No party, no prefer 8 Don't know 9 No answer, refused in Denmark (DK): 7 Did not vote last elect 8 Don't remember in Great Britain (GB): 1 Green in Poland (PL): 7 Not voted Note:
The Austrian data of PARTY_LR are based on erroneous coding. Please
exclude Austria from all analyses with PARTY_LR and see the ZA ISSP web
page on ISSP 2001 for more information.
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
890 Summary Statistics:
Valid
23395
; Variable Format:
numeric |
a_prty:
R: Party affiliation: Austria
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Austria 0 Not available/ Not asked 1 SPOE (Soc-Democr) 2 OEVP (Cons) 3 FPOE (Liberal) 4 GRUENE (Green) 5 LIF (liberal) 95 Other Party 96 Would not vote;No party preference 97 Refused 99 NA'
Range of Valid Data Values:
1-
96 Range of Invalid Data Values:
97990 Summary Statistics:
Valid
834
; Variable Format:
numeric |
aus_prty:
R: Party affiliation: Australia
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Australia 0 Not available/ Not asked 1 Liberal Party 2 Labour Party 3 National Party 4 Democrats 5 Greens 6 One nation 95 Other Party 96 None 99 NA, refused
Range of Valid Data Values:
1-
96 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1225
; Variable Format:
numeric |
cdn_prty:
R: Party affiliation: Canada
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Canada 0 Not available/ Not asked 1 Canadian Alliance-Reform 2 Progressive Conservative 3 Liberal 4 New democrat 5 Bloc Quebecois 95 Other Party 96 Would not vote; no party preference 97 Refused 98 Don't know 99 NA
Range of Valid Data Values:
0-
96 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
1060
; Variable Format:
numeric |
ch_prty:
R: Party affiliation: Switzerland
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Switzerland 0 Not available/ Not asked 1 Christian Democratic Party 2 Evangelical Peoples Party 3 Radical Party 4 Social Democratic Party 5 Swiss Peoples Party 6 Independent Party 7 Liberal Party 8 Labour Party 9 Swiss Democrats 10 Green Party 11 Freedom Party 95 Other Party 96 Voted blank 97 Did not vote, no right to vote 98 Don't know 99 NA
Range of Valid Data Values:
1-
97 Range of Invalid Data Values:
98990 Summary Statistics:
Valid
992
; Variable Format:
numeric |
cz_prty:
R: Party affiliation: Czech Republic
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Czech Republic 0 Not available/ Not asked 2 Independent Candidates 3 CAO Nat.Citizens Initiative 5 ODS Civic Democratic Party 6 OK Civic Coalition 7 CSSD Czech Social Democratic Party 8 MDS Moravian Democratic Party 9 KSCM Communist Party of Bohemia & Moravia 10 SPR-RSC Assoc. for Rep.-Republican Party of CS 12 SZJ Party for Life Securities 13 CSNS Czech National Social Party 14 SDCR Assoc. of Pensioners of CR 15 A2000 Alternative 2000 16 PB Right Block 17 SZ Green Party 18 Four Coalition 19 Other Party 96 Would not vote 97 Refused 98 Don't know 99 NA
Range of Valid Data Values:
0-
96 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
542
; Variable Format:
numeric |
d_prty:
R: Party affiliation: Germany
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Germany 0 Not available/ Not asked 1 CDU/ CSU 2 SPD 3 FDP 4 Buendnis 90/Gruene 7 Republikaner 8 PDS/Linke Liste 95 Other Party 96 Would not vote; not eligible voter 97 Refused 98 Don't know
Range of Valid Data Values:
1-
96 Range of Invalid Data Values:
97980 Summary Statistics:
Valid
1136
; Variable Format:
numeric |
dk_prty:
R: Party affiliation: Denmark
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Denmark 0 Did not vote last election 1 Social Democratic 2 Radical Liberal 3 Conservative 4 Centre Democratic 5 Socialist Peoples Party 6 Danish Peoples Party 7 Christian Peoples Party 8 Liberal 9 Progressive 10 Leftwing Alliance 11 Other responses 12 No party, no preference 13 Don't remember 98 Don't know 99 No answer
Range of Valid Data Values:
0-
13 Range of Invalid Data Values:
9899 Summary Statistics:
Valid
1256
; Variable Format:
numeric |
e_prty:
R: Party affiliation: Spain
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Spain 0 Not available/ Not asked 1 Popular Party 2 Socialist Party 3 Communist Party 4 Regional Party of Center 5 Regional Party of Left 6 Ecologist Party 7 Other Party 8 White 9 No vote 10 Don't know 11 No answer
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
01011 Summary Statistics:
Valid
970
; Variable Format:
numeric |
f_prty:
R: Party affiliation: France
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: France 0 No party proximity 1 Far left 2 Communist party 3 Socialist party 4 Green 5 UDF-Liberal 6 RPR-Conservative 7 Far right 8 Other 9 NAP, NAV, NA, DK
Range of Valid Data Values:
0-
8 Range of Invalid Data Values:
9 Summary Statistics:
Valid
1169
; Variable Format:
numeric |
sf_prty:
R: Party affiliation: Finland
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Finland 0 Not available/ Not asked 1 Social Democratic Party of Finland 2 Centre Party of Finland 3 National Coalition Party 4 Left Alliance 5 Swedish People's Party in Finland 6 Green League 7 Christian League of Finland 8 True Finns 9 Reform Group 10 Other party 96 Would not vote 97 Refused 98 Can't choose 99 NA
Range of Valid Data Values:
0-
96 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
998
; Variable Format:
numeric |
gb_prty:
R: Party affiliation: Great Britain
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Great Britain 0 Not available/ Not asked 1 Conservative 2 Labour 3 Liberal Democrats, SLD 4 Alliance Party 5 Democratic Unionist Party 6 SNP (Scot National) 7 Plaid Cymru 8 Green party 9 Ulster Union Party 10 Progressive Unionist Party 11 Sinn Fein 12 Ulster Democratic Party 13 Womens Coalition 14 Workers Party 15 UK Unionist Party 93 Other answer 95 Other Party 96 Would not vote; No party preference 97 Refused 98 Don't know 99 NA
Range of Valid Data Values:
0-
96 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
890
; Variable Format:
numeric |
h_prty:
R: Party affiliation: Hungary
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Hungary 0 Not available/ Not asked 1 HDF-Hungarian Democratic Forum 2 FFD-Free Democrats 3 ISHP-Independent Small Holders 4 HSP-Hungarian Socialist Party 5 FYD-Federation of Young Democrats 6 CDPP-Christian Democratic People's Party 7 HSPW-Socialist workers 8 HIJP-Hungarina Truth 95 Other Party 96 Would not vote;no party preference 97 Refused 98 Can't choose 99 NA
Range of Valid Data Values:
0-
96 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
823
; Variable Format:
numeric |
il_prty:
R: Party affiliation: Israel
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Israel 0 Not available/ Not asked 1 Likud 2 Israel one+gesher+me 3 Shase 4 Meretz 5 Mafdal 6 Yahadut-hatora 7 Haehud haleumi 8 Shinuy 9 The center party 10 Am ehad 11 Israel baliya 12 Israel byteno 13 Hadash 14 Other left party 15 Other right party 16 Other religious party 17 Reshima aravit mitkademet (RAM) 18 Brit leumit demokratit (BLD) 95 Other party 96 No vote; no party preference 97 Refused 98 Can't choose 99 NA
Range of Valid Data Values:
0-
96 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
1096
; Variable Format:
numeric |
j_prty:
R: Party affiliation: Japan
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Japan 0 Not available/ Not asked 1 Liberal Democratic Party 2 The Democratic Party 3 Liberal Party 4 New Komeito 5 Japanese Communist Party 6 Social Democratic Party 7 New Conservative Party 95 Other Party 96 No party preference 99 NA
Range of Valid Data Values:
1-
96 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1318
; Variable Format:
numeric |
lv_prty:
R: Party affiliation: Latvia
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Latvia 0 Not available/ Not asked 1 The People's Union "Freedom" 3 The Conservative Party 4 The Union "Latvia's Way" 5 The Social Democratic Women's Organization 6 The National Harmony Party 7 The New Party 8 The Association of Labor Party, Union of Christ.Democrats 9 The Latvian Farmer's Union 10 The Democratic Party "Saimnieks" 11 The People's Movement "For Latvia" 14 The People's Party 15 The Association of Latvian Social Democrats 16 The Latvian Unity party 17 The Union "For Fatherland and Freedom"/LNNK 18 The Latvian National Democratic Party 20 The Political Organization "Helsinki"-86 22 Founded before elections in 2002: "New Era" 23 Before el-s in 2002: "For Human Rights in United Latvia" 24 Founded before elections in 2002: Light of Latgale 97 No party preference 98 Don't know 99 NA
Range of Valid Data Values:
1-
97 Range of Invalid Data Values:
98990 Summary Statistics:
Valid
788
; Variable Format:
numeric |
n_prty:
R: Party affiliation: Norway
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Norway 0 Not available/ Not asked 1 Red Electoral All 2 Labour Party 3 Progress Party 4 Conserv Party 5 Christ Democr Party 6 Centre party 7 Socialist Left 8 Liberal 95 Other Party 96 No party preference; would'nt vote 97 Refused 98 Don't know 99 NA
Range of Valid Data Values:
0-
96 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
1373
; Variable Format:
numeric |
ni_prty:
R: Party affiliation: Northern Ireland
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Northern Ireland 0 Not applicable 4 Ulster Unionist Party (UUP) 5 Social Democratic & Labour Party (SDLP) 6 Democratic Unionist Party (DUP) 7 Alliance Party 8 Sinn Fein 9 Progressive Unionist Party (PUP) 10 Ulster Democratic Party (UDP) 11 Women's Coalition 15 Other Party (specify) 16 (NONE) 17 Other Answer (specify) 98 Don't know
Range of Valid Data Values:
4-
17 Range of Invalid Data Values:
980 Summary Statistics:
Valid
1224
; Variable Format:
numeric |
nz_prty:
R: Party affiliation: New Zealand
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: New Zealand 0 Not available/ Not asked 1 ACT 2 Alliance 4 Labour 5 National 6 New Zealand First 7 United 95 Other party 96 No preference, not vote 98 Don't know
Range of Valid Data Values:
1-
96 Range of Invalid Data Values:
980 Summary Statistics:
Valid
980
; Variable Format:
numeric |
pl_prty:
R: Party affiliation: Poland
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Poland 0 Not available/ Not asked 1 SLD-UP: Democratic left alliance/labour union 2 AWS: Solidarity election action 3 UW: Freedom union 4 Lepper's self-defense trade union 5 PiS: Law and justice party 6 PSL: Polish peasants party 7 PO: Civic platform of the rep of Poland 8 Alternative social movement 9 PWN: Polish national fellowship 10 LPR: League of polish families 11 German minority 13 PUG: Polish economic union 14 Polish socialist party 95 Other list 96 Blank 98 DK/Refused 99 No answer
Range of Valid Data Values:
1-
96 Range of Invalid Data Values:
98990 Summary Statistics:
Valid
1129
; Variable Format:
numeric |
rch_prty:
R: Party affiliation: Republic of Chile
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Republic of Chile 0 Not available/ Not asked 1 Christian Democratic 2 Independent Democratic 3 Communist Party of Chile 4 National Renewal Party 5 Chilean Socialist Party 6 Radical Social Democratic 7 Democracy Party PPD 8 Other Party 9 None of them 88 Don't know 99 NA
Range of Valid Data Values:
1-
88 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1441
; Variable Format:
numeric |
rp_prty:
R: Party affiliation: Philippines
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Philippines 0 Not available/ Not asked 1 Lakas NUCD-UMDP 2 LDP-Lakas ng Demokratiko 3 NPC-Nationalists People 4 PRP-Peoples Reform Party 5 LP-Liberal Party 6 NP-Nacionalista Party 7 PDP-Phil Democratic Party 8 PDSP-Partido Democratico 9 LM-Lapiang Manggagawa 10 PMP-Partido ng Masang Pi 12 KBL-Kilusang Bagong Lipu 13 Bicol Saro 14 PP-Partido Panghiusa 15 None 16 Partido ni Roco 17 LAMMP 18 Laban ng Alyansang 19 Erap Party 21 Promdi 22 De Venecia S Party 23 Ramos Party 24 Herbert Bautista 25 Independent Party 26 Obet Pagdanganan Party 29 Partido ni Eusebio 30 Bayan Muna 31 Puwersa ng Masa 32 Partido ng Mahihirap 33 Leftist Party 34 BOPK- Bando Osmeña Pundok Kauswagan 35 Party Ni President Arroyo 36 PPC- Peoples Power Coalition 37 Partido ni Francis Pangilinan 38 MAD 39 Akbayan 40 Party List ni Mayor Perez 41 Partido Ni Alvin Garcia 42 Kusug-Kagi-Usuag Sugbo 43 Alayon 44 Bacolod Congression Anthony Lipares 45 Ralph Recto Party 50 Maranios Party 95 Other Party 96 Would not vote; No party preference 97 Refused 98 Don't know 99 NA
Range of Valid Data Values:
0-
96 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
1198
; Variable Format:
numeric |
rus_prty:
R: Party affiliation: Russia
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Russia 0 Not available/ Not asked 1 Edinstvo 2 Women of Russia 3 KPRF 4 LDPR 5 Otechestvo 6 Union of Rigth Forces 7 Yabloko 95 Other Party 96 Would not vote; no party preference 97 Refused 98 Don't know 99 NA
Range of Valid Data Values:
0-
96 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
1405
; Variable Format:
numeric |
slo_prty:
R: Party affiliation: Slovenia
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: Slovenia 0 Not available/ Not asked 1 Democrat party DS 2 Democratic ret DESUS 3 Liberal Democrat LDS 4 Peoples party SLS 5 Slovenian Nation SNS 6 Social Democratic SDS 7 Slovenian Christian SKD 8 Combined list ZLSD 9 Green of Slovenia ZS 95 Other Party 96 Would not vote; No party preference 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
0-
96 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
750
; Variable Format:
numeric |
usa_prty:
R: Party affiliation: USA
|
|---|
Location:
Width:
2
| Question:
Respondent's voting intention in national elections Country specific: USA 0 Not available/ Not asked 1 Strong democrat 2 Not very strong democrat 3 Independent, close democr 4 Independent 5 Independent, close republican 6 Not very strong republican 7 Strong republican 95 Other Party 96 Would not vote; No party preference 97 Refused 98 Don't know 99 No answer
Range of Valid Data Values:
0-
96 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
1137
; Variable Format:
numeric |
hompop:
How many persons in household
|
|---|
Location:
Width:
2
| Question:
Number of people in household 0 Not available/ Not asked 1 1 person 40 40 persons 99 NA, refused in Denmark (DK): 13 13 persons or more in France (F): 8 8 or more in Slovenia, Spain: 9 9 or more persons
Range of Valid Data Values:
1-
40 Range of Invalid Data Values:
099 Summary Statistics:
Valid
32470
; Variable Format:
numeric |
hhcycle:
Household cycle
|
|---|
Location:
Width:
3
| Question:
Household composition Number of adults and of children under 18 years 0 Not available/ Not asked 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 29 13 adults or more 995 Otherwise 996 None 999 NA,refused in Denmark (DK): 997 Not valid answer
Range of Valid Data Values:
1-
996 Range of Invalid Data Values:
0997999 Summary Statistics:
Valid
30720
; Variable Format:
numeric |
urbrural:
Urban - Rural
|
|---|
Location:
Width:
2
| Question:
Type of community: urban / rural 0 Not available/ Not asked 1 Urban 2 Suburban, city, town, county seat 3 Rural 8 Don't know 9 No answer in Philippines (RP): 1 Total urban 3 Total rural in Russia (RUS): 3 Country village
Range of Valid Data Values:
1-
3 Range of Invalid Data Values:
890 Summary Statistics:
Valid
34343
; Variable Format:
numeric |
a_size:
Size of community: Austria
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Austria 0 Not available/ Not asked 1 more than 1 million, Vienna 2 50 001 to 1 million 3 20 001 to 50 000 4 10 001 to 20 000 5 5 001 to 10 000 6 3 001 to 5 000 7 2 001 to 3 000 8 Less than 2 000 99 NA
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1011
; Variable Format:
numeric |
aus_size:
Size of community: Australia
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Australia 0 Not available/ Not asked 1 Metropolitan area, more than 500 000 2 City, up to 500 000 3 Middle city, 60 000 4 Town, up to 20 000 5 Village, under 1 000 6 Farm 99 NA
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1265
; Variable Format:
numeric |
cdn_size:
Size of community: Canada
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Canada 0 Not available/ Not asked 1 Greater than 1 million 2 750 000 - 999 999 3 500 000 - 749 000 4 250 000 - 499 999 5 1000 000 - 249 000 6 50 000 - 99 999 7 10 000 - 49 999 8 1 000 - 9 999 9 Less than 1 000 99 NA, refused
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1069
; Variable Format:
numeric |
cy_size:
Size of community: Cyprus
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Cyprus 0 Not available/ Not asked 1 100 001 and more 2 50 001-100 000 3 20 001- 50 000 4 5 001- 20 000 5 1 001- 5 000 6 Less than 1 000
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1006
; Variable Format:
numeric |
cz_size:
Size of community: Czech Republic
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Czech Republic 0 Not available/ Not asked 1 1,2 Mill. (Prague) 2 more than 100 000 3 50 000- 99 999 4 10 000- 49 999 5 5 000- 9 999 6 2 000- 4 999 7 1 000- 1 999 8 Less than 1 000 99 NA
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1200
; Variable Format:
numeric |
d_size:
Size of community: Germany
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Germany 0 Not available/ Not asked 1 more than 500 000 2 100 000-499 999 3 50 000- 99 999 4 20 000- 49 999 5 5 000- 19 999 6 2 000- 4 999 7 up to 1 999
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1369
; Variable Format:
numeric |
dk_size:
Size of community: Denmark
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Denmark 0 Not available/ Not asked 1 A rural district 2 A town with less than 10.000 inhabitants 3 A town/city with 10-50.000 inhabitants 4 A city with 50-500.000 inhabitants 5 Greater Copenhagen (capital) 8 Dont know 9 No answer
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
890 Summary Statistics:
Valid
1255
; Variable Format:
numeric |
e_size:
Size of community: Spain
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Spain 0 Not available/ Not asked 1 Less than 2.000 2 2.001 - 5.000 3 5.001 - 10.000 4 10.001 - 50.000 5 50.001 - 100.000 6 100.001 - 250.000 7 more than 250.000 8 Madrid and Barcelona 9 No answer,refused
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
90 Summary Statistics:
Valid
1214
; Variable Format:
numeric |
f_size:
Size of community: France
|
|---|
Location:
Width:
2
| Question:
Country specific town size: France 0 Not available/ Not asked 1 Paris 2 more than 500 000 3 100 001- 500 000 4 50 001- 100 000 5 20 001- 50 000 6 10 001- 20 000 7 2 001- 10 000 8 less than 2 000 9 NA
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
90 Summary Statistics:
Valid
1333
; Variable Format:
numeric |
sf_size:
Size of community: Finland
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Finland 0 Not available/ Not asked 1 Less than 5.000 2 5.000-9.999 3 10.000-19.999 4 20.000-49.999 5 50.000-99.999 6 100.000-199.999 7 More than 200.000 99 NA
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1428
; Variable Format:
numeric |
gb_size:
Size of community: Great Britain
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Great Britain 0 Not available/ Not asked 1 Lowest population density 2 2 3 3 4 Highest population density
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
0 Summary Statistics:
Valid
912
; Variable Format:
numeric |
h_size:
Size of community: Hungary
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Hungary 0 Not available/ Not asked 1 2 mill.inh.,Budapest 2 100 000- 3 50 001-100 000 4 20 001- 50 000 5 10 001- 20 000 6 5 001- 10 000 7 2 001- 5 000 8 1 001- 2 000 9 Less than 1 000 99 NA, refused
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1524
; Variable Format:
numeric |
i_size:
Size of community: Italy
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Italy 0 Not available/ Not asked 1 Less than 10000 2 10.001-30.000 3 30.001-100.000 4 100.001-250.000 5 250.001-1.000.000 6 More than 1 million
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
0 Summary Statistics:
Valid
999
; Variable Format:
numeric |
il_size:
Size of community: Israel
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Israel 0 Not available/ Not asked 1 More than 100 000 2 50 001-100 000 3 20 001- 50 000 4 10 001- 20 000 5 5 001- 10 000 6 2 501- 5 000 7 Less than 2 500
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1186
; Variable Format:
numeric |
j_size:
Size of community: Japan
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Japan 0 Not available/ Not asked 1 13 major cities 2 300.000 or more 3 100.000-299.999 4 less than 100.000 5 Town or village 99 NA
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1321
; Variable Format:
numeric |
lv_size:
Size of community: Latvia
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Latvia 0 Not available/ Not asked 1 More than 500.000 2 100.001-500.000 3 50.001-100.000 4 20.001- 50.000 5 10.001- 20.000 6 5.001- 10.000 7 2.000- 5.000 8 Less than 2.000
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1000
; Variable Format:
numeric |
n_size:
Size of community: Norway
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Norway 0 Not available/ Not asked 1 More than 100 000 2 30 000- 99 999 3 3 000- 29 999 4 Less than 3 000 99 NA
Range of Valid Data Values:
0-
4 Range of Invalid Data Values:
979899 Summary Statistics:
Valid
1560
; Variable Format:
numeric |
nz_size:
Size of community: New Zealand
|
|---|
Location:
Width:
2
| Question:
Country specific town size: New Zealand 0 Not available/ Not asked 1 Large city: 100 000 and more 3 Small city: 30 000-49 999 6 Village: less than 1 000 7 Farm, rural property
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1127
; Variable Format:
numeric |
pl_size:
Size of community: Poland
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Poland 0 Not available/ Not asked 1 More than 500 000 2 250 000-500 000 3 100 000-249 999 4 50 000- 99 999 5 25 000- 49 999 6 10 000- 24 999 7 Less than 10 000 8 Village 99 NA
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1221
; Variable Format:
numeric |
rp_size:
Size of community: Philippines
|
|---|
Location:
Width:
6
| Question:
Country specific town size: Philippines 0 Not available 999999 No answer
Range of Valid Data Values:
227-
120569 Range of Invalid Data Values:
0999999 Summary Statistics:
Valid
860
; Variable Format:
numeric |
rus_size:
Size of community: Russia
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Russia 0 Not available/ Not asked 1 More than 1 million 2 500 001-1 000 000 3 250 001- 500 000 4 100 001- 250 000 5 50 001- 100 000 6 20 001- 50 000 7 Urban less than 20 000 8 Rural 99 No answer
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
990 Summary Statistics:
Valid
2000
; Variable Format:
numeric |
slo_size:
Size of community: Slovenia
|
|---|
Location:
Width:
2
| Question:
Country specific town size: Slovenia 0 Not available/ Not asked 1 More than 50 000 (Ljubljana, Maribor) 2 10 000 to 50 000 3 4 000 to 10 000 4 2 000 to 4 000 5 500 to 2 000 6 Less than 500 99 NA
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1075
; Variable Format:
numeric |
usa_size:
Size of community: USA
|
|---|
Location:
Width:
2
| Question:
Country specific town size: USA 0 Not available/ Not asked 1 1 to 9 millions 2 500 000 to 999 999 3 100 000 to 499 999 4 50 000 to 99 999 5 10 000 to 49 999 6 1 000 to 9 999 7 Less than 999 99 NA
Range of Valid Data Values:
1-
7 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1149
; Variable Format:
numeric |
a_reg:
Region: Austria
|
|---|
Location:
Width:
2
| Question:
Country specific region: Austria 0 Not available/ Not asked 1 Vorarlberg 2 Tirol 3 Salzburg 4 Oberoesterreich 5 Kaernten 6 Steiermark 7 Burgenland 8 Niederoesterreich 9 Wien 99 NA
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1011
; Variable Format:
numeric |
za_reg:
Region: South Africa
|
|---|
Location:
Width:
2
| Question:
Country specific region: South Africa 0 Not available/ Not asked 1 EC: Eastern Cape 2 FS: Free State 3 GT: Gauteng 4 KZN: KwaZulu-Natal 5 MP: Mpumalanga 6 NC: Northern Cape 7 NP: Northern Province 8 NW: North-West Provinc e 9 WC: Western Cape
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
0 Summary Statistics:
Valid
2563
; Variable Format:
numeric |
aus_reg:
Region: Australia
|
|---|
Location:
Width:
2
| Question:
Country specific region: Australia 0 Not available/Not asked 1 New South Wales 2 Queensland 3 South Australia 4 Tasmania 5 Victoria 6 West Australia 12 North Territory 13 Capital Territory 99 NA
Range of Valid Data Values:
1-
13 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1282
; Variable Format:
numeric |
br_reg:
Region: Brazil
|
|---|
Location:
Width:
2
| Question:
Country specific region: Brazil 0 Not available/Not asked 1 Northeast 2 South 3 Southeast 4 North 5 Centro-West
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
0 Summary Statistics:
Valid
2000
; Variable Format:
numeric |
cdn_reg:
Region: Canada
|
|---|
Location:
Width:
2
| Question:
Country specific region: Canada 0 Not available/Not asked 1 Newfoundland 2 Nova Scotia 3 Prince Edward Island 4 New Brunswick 5 Quebec 6 Ontario 7 Manitoba 8 Saskatchewan 9 Alberta 10 British Colombia 99 NA
Range of Valid Data Values:
1-
10 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1112
; Variable Format:
numeric |
ch_reg:
Region: Switzerland
|
|---|
Location:
Width:
2
| Question:
Country specific region: Switzerland 0 Not available/Not asked 1 Zuerich 2 Bern 3 Luzern 4 Uri 5 Schwyz 6 Obwalden 7 Nidwalden 8 Glarus 9 Zug 10 Fribourg 11 Solothurn 12 Baselstadt 13 Baselland 14 Schaffhausen 15 Appenzell AR 16 Appenzell IR 17 St. Gallen 18 Graubuenden 19 Aargau 20 Thurgau 21 Ticino 22 Vaud 23 Wallis 24 Neuchatel 25 Geneve 26 Jura 99 NA
Range of Valid Data Values:
1-
99 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1001
; Variable Format:
numeric |
cy_reg:
Region: Cyprus
|
|---|
Location:
Width:
2
| Question:
Country specific region: Cyprus 0 Not available/Not asked 1 Nicosia 2 Larnaka, Famagusta 3 Limassol 4 Paphos
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1006
; Variable Format:
numeric |
cz_reg:
Region: Czech Republic
|
|---|
Location:
Width:
2
| Question:
Country specific region: Czech Republic 0 Not available/Not asked 1 Prague 2 Central Bohemia 3 South Bohemia 4 West Bohemia 5 North Bohemia 6 East Bohemia 7 South Moravia 8 North Moravia 99 NA
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1200
; Variable Format:
numeric |
d_reg:
Region: Germany
|
|---|
Location:
Width:
2
| Question:
Country specific region: Germany 0 Not available/Not asked 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 Mecklbg-Vorpommern 13 Brandenburg 14 Sachsen-Anhalt 15 Thueringen 16 Sachsen 17 Berlin-West 99 NA
Range of Valid Data Values:
1-
17 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1369
; Variable Format:
numeric |
dk_reg:
Region: Denmark
|
|---|
Location:
Width:
2
| Question:
Country specific region: Denmark 0 Not available/Not asked 1 Copenhagen county 2 Frederiksborg county 3 Roskilde county 4 Westernzealand county 5 Storstrøms county 6 Bornholms county 7 Funen county 8 Southern Jutland county 9 Ribe county 10 Vejle county 11 Ringkøbing county 12 Århus county 13 Viborg county 14 Nothern Jutland county 15 Copenhagen municipality 16 Frederiksberg municipality
Range of Valid Data Values:
1-
16 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1293
; Variable Format:
numeric |
e_reg:
Region: Spain
|
|---|
Location:
Width:
2
| Question:
Country specific region: Spain 0 Not available/Not asked 1 Andalucía 2 Aragón 3 Asturias 4 Baleares 5 Cataluña 6 Canarias 7 Cantabria 8 Castilla-León 9 Castilla-La Mancha 10 Extremadura 11 Galicia 12 La Rioja 13 Madrid 14 Murcia 15 Navarra 16 País Vasco 17 Comunidad Valenciana 99 NA
Range of Valid Data Values:
1-
17 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1214
; Variable Format:
numeric |
f_reg:
Region: France
|
|---|
Location:
Width:
2
| Question:
Country specific region: France 0 Not available/Not asked 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 15 Cantal 16 Charente 17 Charente-Maritime 18 Cher 19 Correze 20 Haute-Corse 21 Cote-d Or 22 Cotes-d Armor 23 Creuse 24 Dordogne 25 Doubs 26 Drome 27 Eure 28 Eure-et-Loir 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 96 Corse-Sud 97 D O M 98 T O M 99 NA
Range of Valid Data Values:
1-
98 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1392
; Variable Format:
numeric |
sf_reg:
Region: Finland
|
|---|
Location:
Width:
2
| Question:
Country specific region: Finland 0 Not available/Not asked 1 Uusimaa 2 Itä-Uusimaa 3 Varsinais-Suomi 4 Satakunta 5 Kanta-Häme 6 Pirkanmaa 7 Päijät-Häme 8 Kymenlaakso 9 Etelä-Karjala 10 Etelä-Savo 11 Pohjois-Savo 12 Pohjois-Karjala 13 Keski-Suomi 14 Etelä-Pohjanmaa 15 Pohjanmaa 16 Keski-Pohjanmaa 17 Pohjois-Pohjanmaa 18 Kainuu 19 Lappi 20 Itä-Uusimaa 21 Ahvenanmaa 99 NA
Range of Valid Data Values:
1-
21 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1428
; Variable Format:
numeric |
gb_reg:
Region: Great Britain
|
|---|
Location:
Width:
2
| Question:
Country specific region: Great Britain 0 Not available/Not asked 1 Scotland 2 North, North West, Yorkshire Hbs 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:
0 Summary Statistics:
Valid
912
; Variable Format:
numeric |
h_reg:
Region: Hungary
|
|---|
Location:
Width:
2
| Question:
Country specific region: Hungary 0 Not available/Not asked 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 17 Tolna 18 Vas 19 Veszprem 20 Zala 99 NA, refused
Range of Valid Data Values:
1-
20 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1524
; Variable Format:
numeric |
il_reg:
Region: Israel
|
|---|
Location:
Width:
2
| Question:
Country specific region: Israel 0 Not available/Not asked 1 North 2 South 3 Tel-Aviv 4 Jerusalem 5 Arab sector
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1198
; Variable Format:
numeric |
j_reg:
Region: Japan
|
|---|
Location:
Width:
2
| Question:
Country specific region: Japan 0 Not available/Not asked 1 Hokkaido, Tohoku 2 Kanto, Koshin-etsu 3 Chubu 4 Kinki 5 Chugoku, Shikoku 6 Kyushu 99 NA
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1321
; Variable Format:
numeric |
lv_reg:
Region: Latvia
|
|---|
Location:
Width:
2
| Question:
Country specific region: Latvia 0 Not available/Not asked 1 Riga 2 Vidzeme 3 Kurzeme 4 Zemgale 5 Latgale
Range of Valid Data Values:
1-
5 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1000
; Variable Format:
numeric |
n_reg:
Region: Norway
|
|---|
Location:
Width:
2
| Question:
Country specific region: Norway 0 Not available/Not asked 1 Central East 2 East 3 South 4 West 5 Middle 6 North 99 NA
Range of Valid Data Values:
1-
6 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1560
; Variable Format:
numeric |
nz_reg:
Region: New Zealand
|
|---|
Location:
Width:
2
| Question:
Country specific region: New Zealand 0 Not available/Not asked 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
Range of Valid Data Values:
1-
22 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1132
; Variable Format:
numeric |
pl_reg:
Region:Poland
|
|---|
Location:
Width:
2
| Question:
Country specific region: Poland 0 Not available/Not asked 1 Central 2 Wielkopolska (Ctr-W) 3 Silesia (S-W) 4 West 5 Pomorze (North) 6 North-East 7 East 8 Malopolska (S-E) 99 NA
Range of Valid Data Values:
1-
8 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1221
; Variable Format:
numeric |
rch_reg:
Region: Republic of Chile
|
|---|
Location:
Width:
2
| Question:
Country specific region: Republic of Chile 0 Not available/Not asked 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 Antari 13 Metropolitana de Santiago 99 NA
Range of Valid Data Values:
1-
13 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1504
; Variable Format:
numeric |
rp_reg:
Region: Philippines
|
|---|
Location:
Width:
2
| Question:
Country specific region: Philippines 0 Not available/Not asked 1 Great Manila Area 2 Balance Luzon 3 Visayas 4 Mindanao 99 NA
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1200
; Variable Format:
numeric |
rus_reg:
Region: Russia
|
|---|
Location:
Width:
2
| Question:
Country specific region: Russia 0 Not available/Not asked 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 99 NA
Range of Valid Data Values:
1-
11 Range of Invalid Data Values:
990 Summary Statistics:
Valid
2000
; Variable Format:
numeric |
slo_reg:
Region: Slovenia
|
|---|
Location:
Width:
2
| Question:
Country specific region: Slovenia 0 Not available/Not asked 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 NA
Range of Valid Data Values:
1-
12 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1077
; Variable Format:
numeric |
usa_reg:
Region: USA
|
|---|
Location:
Width:
2
| Question:
Country specific region: USA 0 Not available/Not asked 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 99 NA
Range of Valid Data Values:
1-
9 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1149
; Variable Format:
numeric |
za_ethn:
Ethnics: South Africa
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: South Africa 0 Not available/Not asked 1 Black African 2 Coloured 3 Indian 4 White
Range of Valid Data Values:
1-
4 Range of Invalid Data Values:
0 Summary Statistics:
Valid
2555
; Variable Format:
numeric |
aus_ethn:
Ethnics: Australia
|
|---|
Location:
Width:
4
| Question:
Respondent's ethnicity or nationality. Country specific: Australia 0 Not available/Not asked 99 NA, don't know 1101 New South Wales 1102 Victoria 1103 Queensland 1104 South Australia 1105 Western Australia 1106 Tasmania 1107 Northern Territory 1108 Australian Capital T 1301 New Zealand 1402 Papua New Guinea 2100 United Kingdom & Ireland 2101 England 2104 Northern Ireland 2107 Ireland (Eire) 2203 Cyprus 2205 Greece 2207 Italy 2208 Malta 2211 Spain 2220 Former Yugoslavia 2222 2222 2305 Germany 2309 Netherlands 2403 Finland 2406 Norway 2502 Former Czechoslovakia 2503 Hungary 2504 Poland 2600 Former USSR & Baltic 2608 Latvia 3203 Egypt 4105 Malaysia 4107 Philippines 4109 Thailand 4110 Viet Nam 5101 5101 6104 India 6108 Sri Lanka 7102 Canada 8103 Brazil 8113 Uruguay 9000 Africa (NOT North Africa) 9211 Mauritius
Range of Valid Data Values:
1101-
9211 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1300
; Variable Format:
numeric |
cdn_ethn:
Ethnics: Canada
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Canada 0 Not available/Not asked 1 French 2 English 3 German 4 Scottish 5 Other Western European 6 Other Eastern European 7 China/ South-East Asia 8 Africa 9 Caribbean 10 Latin America 11 Indian sub-continent 12 Other Middle east 13 Jewish 14 North American India 15 Metis 16 Inuit/ Eskimo 88 Other 99 NA, refused
Range of Valid Data Values:
1-
88 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1102
; Variable Format:
numeric |
ch_ethn:
Ethnics: Switzerland
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Switzerland 0 Not available/Not asked 1 Belgium 2 Denmark 3 Germany 4 Greece 5 Spain 6 France 7 Ireland 8 Italy 9 Luxemburg 10 Netherlands 11 Portugal 12 Great Britain 13 Austria 14 Sweden 15 Finland 16 Switzerland 17 Switzerland and Germany 18 Switzerland and France 19 Switzerland and Italy 20 Switzerland and Great Britain 21 Other countries 98 DK
Range of Valid Data Values:
1-
21 Range of Invalid Data Values:
980 Summary Statistics:
Valid
1001
; Variable Format:
numeric |
cy_ethn:
Ethnics: Cyprus
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Cyprus 0 Not available/Not asked 1 Greek Cypriot 2 Maronite 3 Armenian
Range of Valid Data Values:
1-
3 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1006
; Variable Format:
numeric |
cz_ethn:
Ethnics: Czech Republic
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Czech Republic 0 Not available/Not asked 28 Czech 38 German 41 Hungarian 68 Polish 78 Slovak 89 Ukrainian 98 Other 99 NA
Range of Valid Data Values:
28-
98 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1189
; Variable Format:
numeric |
d_ethn:
Ethnics: Germany
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Germany 0 Not available/Not asked 10 Austria, Austrian 18 Bosnian 24 Thai, Khmer, Vietnam, South-East Asia 27 Croatia 31 England, England&Wales, UK, English 35 France, French 38 Germany, German 49 Italy,Italian 58 Netherlands, Dutch, Flemish 68 Poland, Polish, Pole 69 Portugal, Portuguese 71 Romanian/Rumanian 72 Russia, (former) USSR & Rep. 79 Slovenia, Slovenian, Slovene 81 Spanish, Castilian, Castellano 88 Turkey,Turkish 95 Yugoslavia, Serbo-Croatian 98 Other, mixed origin
Range of Valid Data Values:
10-
98 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1367
; Variable Format:
numeric |
dk_ethn:
Ethnics: Denmark
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Denmark 0 Not available/Not asked 9 Australia, Oceania 23 China, Cantonese, Hakka, Mandarin 30 Denmark, Danish 31 England, England&Wales, UK, English 38 Germany, German 45 India, Hindi, Urdu, Gujarati, Tamil 46 Indonesian,Malay/Malaysian 47 Iranian, Persian/Farsi, Dari 57 Kurd, Assyria, Middle East, Lebanon 58 Netherlands, Dutch, Flemish 63 Pakistan, Panjab/Punjabi, Pashto 72 Russia, (former) USSR & Rep. 76 Scotland, Scots Gaelic, Scottish 82 Swedish, Swede 83 Switzerland 90 USA 95 Yugoslavia, Serbo-Croatian 97 Other country in the European Union 98 Other, mixed origin 99 NA, don't know
Range of Valid Data Values:
9-
98 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1285
; Variable Format:
numeric |
sf_ethn:
Ethnics: Finland
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Finland 0 Not available/Not asked 1 Native tongue finnish 2 Native tongue swedish 3 Native tongue other 9 NA
Range of Valid Data Values:
1-
3 Range of Invalid Data Values:
90 Summary Statistics:
Valid
1428
; Variable Format:
numeric |
gb_ethn:
Ethnics: Great Britain
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Great Britain 0 Not available/Not asked 1 BLACK: of African origin 2 BLACK: of Caribbean origin 3 BLACK: of other origin (WRITE IN) 4 ASIAN: of Indian origin 5 ASIAN: of Pakistani origin 6 ASIAN: of Bangladeshi origin 7 ASIAN: of Chinese origin 8 ASIAN: of other origin (WRITE IN) 9 WHITE: of any European origin 10 WHITE: of other origin (WRITE IN) 11 MIXED ORIGIN (WRITE IN) 12 OTHER (WRITE IN) 98 Don't know 99 Not answered
Range of Valid Data Values:
1-
12 Range of Invalid Data Values:
98990 Summary Statistics:
Valid
912
; Variable Format:
numeric |
h_ethn:
Ethnics: Hungary
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Hungary 0 Not available/Not asked 27 Croatian 38 German, Swab 41 Hungary, Hungarian 70 Romani, Gipsy 71 Romanian/Rumanian 77 Serbia, Serbian, Serb 78 Slovakia, Slovak 94 Yiddish, Jewish 98 Other, mixed origin 99 NA, don't know
Range of Valid Data Values:
27-
98 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1510
; Variable Format:
numeric |
il_ethn:
Ethnics: Israel
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Israel 0 Not available/Not asked 1 Cyprus 2 Syria 3 Lebanon 4 Jordan 5 Iraq 6 Saudi Arabia 7 Yemen 8 South Yemen 9 Iran 10 Afghanistan 11 India, Pakistan 12 Burma 13 Indonesia, Philippines 14 China 15 Mongolia, Korea 16 Japan 17 Turkey 18 Other Asian Countries 19 Asia 20 Morocco, Tangier 21 Algiers 22 Tunisia 23 Libya 24 Sudan, Egypt 25 Ethiopia, Somalia, Eritrea 26 Zimbabwe, Rodezia 27 South Afrika 28 Other African Countries 29 Africa 30 Russia 31 Poland 40 Rumania 41 Yugoslavia 42 Bulgaria 43 Greece 44 Albania 50 Germany 51 Austria 52 Switzerland 53 Czechoslovakia 54 Hungary 55 Finland 56 Sweden 57 Norway 58 Denmark 59 England 60 Ireland 61 Holland 62 Belgium 63 Luxembourg 64 France 65 Portugal 66 Spain 67 Italy 68 Other European Countries 69 Europe 70 USA 71 Canada 72 Mexico 73 Cuba 74 Panama 75 Other American center Countries 76 Venezuela 77 Columbia 78 Ecuador 79 Peru 80 Bolivia 81 Brazil 82 Uruguay 83 Argentina 84 Chile 85 Other South America Countries 86 Australia 87 New Zealand 89 Palestine 90 Israel 91 Ukraine, Belorussia, Moldavia, Estonia, Latvia 92 Georgia, Uzbekistan, Tozakistan, Kazakhstan, Armenia, Azerb
Range of Valid Data Values:
1-
92 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1200
; Variable Format:
numeric |
lv_ethn:
Ethnics: Latvia
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Latvia 0 Not available/Not asked 1 Latvian 2 Russian 3 Other nationality
Range of Valid Data Values:
1-
3 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1000
; Variable Format:
numeric |
ni_ethn:
Ethnics: Northern Ireland
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Northern Ireland 0 Not available/Not asked 1 White 2 Chinese 3 Irish Traveller 4 Indian 9 Mixed Ethnic 10 Other 11 None of these
Range of Valid Data Values:
1-
11 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1407
; Variable Format:
numeric |
nz_ethn:
Ethnics: New Zealand
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: New Zealand 0 Not available/Not asked 23 China, Cantonese, Hakka, Mandarin 25 Cook Island Maori 32 Europe, White/European 45 India, Hindi, Urdu, Gujarati, Tamil 54 Maori, New Zealand 75 Samoan, Tokelauan 86 Tongan, Niuean 98 Other, mixed origin
Range of Valid Data Values:
23-
98 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1121
; Variable Format:
numeric |
rp_ethn:
Ethnics: Philippines
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Philippines 0 Not available/Not asked 1 Tagalog 2 Bisaya 3 Ilonggo 4 Bicolano 5 Ilocano 6 Waray 7 Chavacano 9 Dont know 10 Kapampangan 14 Chinese 19 Ibanal 20 Bilaan 24 Cebuano 25 Zamboangeno 26 Pangasinense 27 Surigaonon 28 Higaanon 29 Tansay 30 Zambal 31 Muslim 32 Maguindanao 33 Butuanon 34 Batanguen 35 Tausog
Range of Valid Data Values:
1-
35 Range of Invalid Data Values:
0 Summary Statistics:
Valid
1200
; Variable Format:
numeric |
slo_ethn:
Ethnics: Slovenia
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: Slovenia 0 Not available/Not asked 18 ethnic Muslim 27 Croatia 41 Hungary, Hungarian 49 Italy, Italian 77 Serbia, Serbian, Serb 79 Slovenia, Slovenian, Slovene 98 Other, mixed origin 99 NA, don't know
Range of Valid Data Values:
18-
98 Range of Invalid Data Values:
990 Summary Statistics:
Valid
1074
; Variable Format:
numeric |
usa_ethn:
Ethnics: USA
|
|---|
Location:
Width:
2
| Question:
Respondent's ethnicity or nationality. Country specific: USA 0 Not available/Not asked 1 Africa, Somalia, Sudan, Mandinka, Yoruba 4 American, American only, America 5 American Indian, Navajo, Ind. Dialect 6 Arab, Muslim (Morocco, Algeria, Lybia) 8 Asia, other Asian 10 Austria, Austrian 14 Belgium, Belgian 21 Canada, other Canada 23 China, Cantonese, Hakka, Mandarin 29 Czechoslovakia, Moravia, Czech-Slovak 30 Denmark, Danish 31 England, England&Wales, UK, English 32 Europe, White/European 34 Finland, Finnish 35 France, French 36 French Canada, French Canadian 38 Germany, German 39 Greece, Greek 41 Hungary, Hungarian 45 India, Hindi, Urdu, Gujarati, Tamil 48 Ireland, Irish/Irish Gaelic 49 Italy, Italian 50 Japan, Japanese 58 Netherlands, Dutch, Flemish 61 Norway, Norwegian 66 Philippines, Tagalog, Filippino 68 Poland, Polish, Pole 69 Portugal, Portuguese 71 Romanian/Rumanian 72 Russia, (former) USSR & Rep. 76 Scotland, Scots Gaelic, Scottish 80 South and Latin America 81 Spanish, Castilian, Castellano 82 Swedish, Swede 83 Switzerland 95 Yugoslavia, Serbo-Croatian 98 Other, mixed origin 99 NA, don't know
Range of Valid Data Values:
1-
98 Range of Invalid Data Values:
990 Summary Statistics:
Valid
885
; Variable Format:
numeric |
mode:
Interview method
|
|---|
Location:
Width:
2
| Question:
Interview method 0 Not available/ Not asked 1 Face to face 3 Mail 31 Self completion 32 Collect 40 Telephone 99 NA
Range of Valid Data Values:
1-
40 Range of Invalid Data Values:
990 Summary Statistics:
Valid
33402
; Variable Format:
numeric |
weight:
Weighting factor
|
|---|
Location:
Width:
10
| Question:
Weighting factor
Range of Valid Data Values:
1-
1 Summary Statistics:
Valid
37188
; Variable Format:
numeric |