International Social Survey Programme 2001: Social Networks II (ISSP 2001)  ( ZA3680 )

Document Description

Citation

Title:

International Social Survey Programme 2001: Social Networks II (ISSP 2001)

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Study Description

Citation

Title:

International Social Survey Programme 2001: Social Networks II (ISSP 2001)

Identification Number:

ZA3680

Authoring Entity:

M. Haller, M. Hadler, R. Ressler, Affiliation: Institut für Soziologie, Karl-Franzens-Universität Graz, Graz, Austria

J. Kelley, M. Evans, J. Sikora, Affiliation: Melbourne Institute of Applied Social Research, University of Melbourne, Melbourne, Australia

M. C. Scalon, Affiliation: Instituto Universitario de Pesquisas do Rio de Janeiro, Rio de Janeiro, Brazil

J. Pammett, H. Pyman, Affiliation: Carleton University Survey Centre, Ottawa, Canada

C. Lehmann, P. Valenzuela, Affiliation: Centro de Estudios Públicos, Santiago, Chile

B. Papageorgiou, Affiliation: Centre of Applied Research, Cyprus College, Nicosia, Cyprus

K. Plecitá-Vlachová,, Affiliation: Institute of Sociology, Academy of Sciences of the Czech Republic, Prague, Czech Republic

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

J. Tonboe, Affiliation: Department of Social Studies and Organization, Ålborg University, Ålborg, Denmark

O. Borre, L. Togeby, Affiliation: Department of Political Science, University of Aarhus, Denmark

H. J. Nielsen, Affiliation: Department of Political science, University of Copenhagen, Copenhagen, Denmark

B. Andersen, Affiliation: Department of Sociology, University of Copenhagen, Copenhagen, Denmark

U. Kjær, Affiliation: Department of Political Science, University of Southern Denmark, Odense, Denmark

J. Harkness, P. Mohler, E. Scholz, M. Braun, Affiliation: ZUMA, Mannheim, Germany

R. Jowell, A. Park, K. Thomson, L. Jarvis, C. Bromley, S. Exley, Affiliation: National Centre for Social Research, London, Great Britain

P. Róbert, Affiliation: TÁRKI RT - Social Research Center, Budapest, Hungary

Á. Utasi, Affiliation: Inst. of Political Science, Hungarian Academy of Sciences, Budapest, Hungary

L. Diotallevi, M. Altieri, G. Lubrano, Affiliation: CENSIS, Roma, Italy

R. Blom, H. Melin, Affiliation: Department of Sociology and Social Psychology, University of Tampere, Tampere, Finland

E. Tanskanen, Affiliation: Statistics Finland, Helsinki, Finland

Y. Lemel, Affiliation: FRANCE-ISSP Association (Centre de Recherche en Économie et Statistique), Laboratoire de Sociologie Quantitative, Malakoff, France

M. Forsé, Affiliation: Observatoire Français des Conjonctures Économiques (OFCE), Paris, France

N. Onodera, H. Aramaki, Affiliation: NHK, Broadcasting Culture Research Institute, Public Opinion Research Division, Tokyo, Japan

N. Lewin-Epstein, E. Yuchtman-Yaar, Affiliation: Dept. of Sociology and Anthropology, Tel Aviv University, Tel Aviv, Israel

L. Dowds, Affiliation: School of Policy Studies, University of Ulster at Jordanstown, Newtownabbey, Northern Ireland

P. Devine, Affiliation: Institute of Governance, Public Policy and Social Research, Queen’s University, Belfast, Northern Ireland

A. Tabuns, I. Koroleva, Affiliation: Institute of Philosophy and Sociology, University of Latvia, Riga, Latvia

K. Skjåk, Affiliation: Norwegian Social Science Data Services (NSD), Bergen, Norway

T. Fløtten, Affiliation: Fafo Institute for Applied Social Science, Oslo, Norway

D. Hallen and O. Evenshaug, Affiliation: Pedagogisk forskningsinstitutt, University of Oslo, Oslo, Norway

K. Halvorsen, Affiliation: Oslo University College, Oslo, Norway

J. Saglie, Affiliation: The Institute for Social Research, Oslo, Norway

P. Gendall, Affiliation: Massey University, Department of Marketing, Palmerston North, New Zealand

L.Guerrero, M. Mangahas, R. Abad, Affiliation: Social Weather Stations, Quezon City, Philippines

B. Cichomski, Affiliation: Institute for Social Studies, Warsaw University (ISS UW) and Warsaw School of Social Psychology (SWPS), Warsaw, Poland

L. Khakhulina, Affiliation: Russian Centre for Public Opinion and Market Research (VCIOM), University of Moscow, Moscow, Russia

N. Toš, Affiliation: Public Opinion and Mass Communication Research Centre (CJMMK), Ljubljana, Slovenia

U. Pillay, Affiliation: Human Science Research Council (HSRC), Pretoria, South Africa

J. Díez-Nicolás, Affiliation: Análisis Sociológicos Económicos y Políticos, ASEP, Madrid, Spain

D. Joye, Affiliation: Swiss Information and Data Archive for the Social Sciences (SIDOS), Neuchâtel, Switzerland

J. A. Davis, T. W. Smith, Affiliation: National Opinion Research Center (NORC), Chicago, USA

P. Marsden, Affiliation: Department of Sociology, Harvard University, Cambridge, USA

Producer:

Software used in Production:

Nesstar Publisher

Distributor:

Zentralarchiv für Empirische Sozialforschung an der Universität zu Köln

Study Scope

Topic Classification:

Society, Culture

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.

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

Methodology and Processing

Time Method:


January 2000 to April 2002

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

Sampling Procedure:


Sampling procedures differ for the individual countries: Partly simple, partly multi-stage stratified random sample of respondents 18 years old and older

Mode of Data Collection:

Oral, paper and pencil resp. postal interview with standardised questionnaire

Sources Statement

Data Access

Availability Status:

A

Access Authority:

Other Study Description Materials

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Study Descriptions for Participating Countries

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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Other Reference Note(s)

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Title:

Further Remarks


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.

File Description

File : ZA3680.NSDstat

  • Number of cases: 37188

  • No. of variables per record: 276

  • Type of File: NSDstat 200203

Variable Description

Variable Groups

  • Archive and ID variables (V1-V3)
  • Substantial variables (V4-V66)
  • ISSP demographics and interview char. (sex-degree, wrkst-wrk_sup, relig-party_lr, hompop-urbrural, mode)
  • Ctry. specific: degree (a_degree-usa_degree)
  • Ctry. specific: rinc (a_rinc-usa_rinc)
  • Ctry. specific: inc (a_inco - usa_inco)
  • Ctry. specific: party (a_prty - usa_prty)
  • Ctry. specific: size (a_size - usa_size)
  • Ctry. specific: region (a_reg - usa_reg)
  • Ctry. specific: ethnic group (za_ethn - usa_ethn)
  • Weight (weight)

Archive and ID variables (V1-V3)

Variables within Archive and ID variables (V1-V3)

  • v1: ZA study number
  • v2: Respondent ID
  • v3: Country

Substantial variables (V4-V66)

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