International Social Survey Programme 2007: Leisure Time and Sports (ISSP 2007)  ( ZA4850 )

Document Description

Citation

Title:

International Social Survey Programme 2007: Leisure Time and Sports (ISSP 2007)

Software used in Production:

Nesstar Publisher

Study Description

Citation

Title:

International Social Survey Programme 2007: Leisure Time and Sports (ISSP 2007)

Identification Number:

ZA4850

Authoring Entity:

Jorge Raúl Jorrat, Affiliation: Centro de Estudios de Opinión, Universidad de Buenos Aires, Argentina

Max Haller, Franz Höllinger, Affiliation: Institut für Soziologie, Universität Graz, Austria

Bruce Tranter, Affiliation: University of Tasmania, Tasmania, Australia

Juliet Clark, Ken Reed, Affiliation: Deakin University, Deakin, Australia

Timothy Phillips, Deborah Mitchell, Affiliation: Centre for Social Research, Research School of Social Sciences, Australian National University, Canberra, Australia

Ann Carton, Affiliation: Vlaamse Overheid, Studiedienst van de Vlaamse Regering (Research Centre of the Flemish Government) (SVR), Belgium (Flanders)

Lilia Dimova, Affiliation: Agency for Social Analyses (ASA), Sofia, Bulgaria

Dinka Marinovic Jerolimov, Boris Jokic, Affiliation: Institute for Social Research, Zagreb, Croatia

Carolina Segovia, Affiliation: Centro de Estudios Públicos (CEP), Santiago, Chile

Bambos Papageorgiou, Affiliation: Center of Applied Research, Cyprus College, Cyprus

Milan Tucek, Affiliation: Institute of Sociology, Academy of Sciences of the Czech Republic, Prague, Czech Republic

Carlos Dore, Affiliation: Fundación Global Democracia y Desarrollo (FUNGLODE), Santo Domingo, Dominican Republic

Harri Melin, Affiliation: University of Turku, Turku, Finland

Raimo Blom, Affiliation: Finnish Social Science Data Archive, University of Tampere, Finland

Yannick Lemel, Michel Forsé, Affiliation: FRANCE-ISSP (Centre de Recherche en Economie et Statistique, Laboratoire de Sociologie Quantitative), Malakoff, France

Peter Mohler, Affiliation: GESIS, Germany

Alison Park, Affiliation: National Centre for Social Research (NatCen), London, Great Britain

Peter Robert, Affiliation: TÁRKI Social Research Institute, Budapest, Hungary

Máire Nic Ghiolla Phádraig, Affiliation: Social Science Research Centre, University College Dublin, Ireland

Noah Lewin-Epstein, Affiliation: B.I. and Lucille Cohen Institute for Public Opinion Research, Tel Aviv University, Tel Aviv, Israel

Hiroshi Aramaki, Miwako Hara, Kumiko Nishi, Affiliation: NHK, Broadcasting Culture Research Institute, Public Opinion Research Division, Tokyo, Japan

Aivars Tabuns, Ilze Koroleva, Affiliation: Institute of Philosophy and Sociology University of Latvia, Riga, Latvia

César Augusto Morones, Yasodhara Silva, Jorge Alberto Godinez, Felipe de Jesús Palacios, Affiliation: Instituto de Mercadotecnia y Opinión (IMO), Mexiko

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

Knut Kalgraff Skjåk, Affiliation: Norwegian Social Science Data Services, Bergen, Norway

Håkon Leiulfsrud, Affiliation: Department of Sociology and Political Science, Norwegian University of Science and Technology

Nils Asle Bergsgard, Affiliation: International Research Institute of Stavanger, Stavanger, Norway

Bogdan Cichomski, Affiliation: Institute for Social Studies (ISS), University of Warsaw, Warsaw, Poland

Linda Luz Guerrero, Mahar Mangahas, Gerardo Sanoval, Affiliation: Social Weather Stations, Quezon City, Philippines

Ludmilla Khakhulina, Affiliation: Levada Center, Moscow, Russia

Magdalena Piscová, Affiliation: Institute for Sociology of Slovak Academy of Sciences, Bratislava, Slovakia

Niko Toš, Affiliation: Public Opinion and Mass Communications Research Centre, Faculty for Social Sciences University of Ljubljana, Ljubljana, Slovenia

Jare Struwig, Benjamin Roberts, Affiliation: Human Science Research Council (HSRC), Pretoria, South Africa

Sang-Wook Kim, Affiliation: Survey Research Center, Sungkyunkwan University, Seoul, Korea

Jonas Edlund, Stefan Svallfors, Affiliation: Dept. of Sociology, Umea University, Umea, Sweden

Dominique Joye, Nicole Schoebi, Affiliation: SIDOS (Swiss Information and Data Archive for the Social Sciences), Neuchâtel, Switzerland

Ly-yun Chang, Affiliation: Institute of Sociology & Center for Survey Research, Academia Sinica, Nankang, Taipei, Taiwan

Giorgina Piani, Máximo Rossi, Zuleika Ferre, Affiliation: Department of Economics, Faculty of Social Sciences, University of Uruguay, Montevideo, Uruguay

Juan Jose Goyeneche, Guillermo Zoppolo, Affiliation: Institute of Statistics, Faculty of Economics and Administration, University of Uruguay, Montevideo, Uruguay

James A. Davis, Tom W. Smith, Peter V. Marsden, Affiliation: National Opinion Research Center (NORC), Chicago, USA

Producer:

GESIS - Leibniz Institute for the Social Sciences, http://www.gesis.org/

Date of Production:

2009-10-29

Software used in Production:

Nesstar Publisher

Distributor:

GESIS - Leibniz Institute for the Social Sciences

Version:

Version 2.0.0 (2009-10-29)

Version Responsibility:

GESIS - Leibniz Institute for the Social Sciences

Study Scope

Topic Classification:

Society, Culture

Abstract:


Leisure time: activities and satisfaction.
The meaning of time and leisure, and its relation to work and other spheres of life. Sport/game activities and subjective functions of sport and games. Sociological aspects of sports. Social and political participation. Social determinants and consequences of leisure.

Themes:
Frequency of leisure activities in respondent`s free time; main purpose of free time activities; enjoyment from reading books, getting together with friends, taking part in physical activities, and watching TV or DVDs; motivation for leisure time activities: establishing useful contacts, relaxing, and developing skills in free time; frequency of feeling bored, feeling rushed, and thinking about work during free time; preference for sharing time with other people or being alone; wishes for: more time in a paid job, more time doing household work, more time with family, and more time in leisure activities; number of nights the respondent stayed away from home for holiday or social visits; days of leave from work; most frequent exercises or physical activity; preferred type of games rather than sports; most important reasons for taking part in sports or games: physical or mental health, meeting other people, competing against others or physical attractiveness; most frequently watched sport on TV; feeling of national pride when respondent`s country does well at international sports or games competition; attitudes towards sport (scale); social and political participation; trust in people; interest in politics; reasons for staying away from doing free time activities: lack of facilities nearby, lack of money and time, personal health or responsibility to take care of someone; perception of happiness; estimation of personal health.

Optional items (not stated in all countries):
The day before questioning was a working-day or a holiday; time of getting up and going to sleep on the day before; height and weight of respondent; wishes to gain or to lose weight; conception of an ideal shape of a man and a women on the bases of presented pictures.

Demography:
sex; age; marital status; steady life partner; years of schooling; highest education level; country specific education and degree; current employment status (respondent and partner); hours worked weekly; occupation (ISCO 1988) (respondent and partner); supervising function at work; working for private or public sector or self-employed (respondent and partner); if self-employed: number of employees; trade union membership; earnings of respondent (country specific); family income (country specific); size of household; household composition; party affiliation (left-right); country specific party affiliation; participation in last election; religious denomination; religious main groups; attendance of religious services; self-placement on a top-bottom scale; region (country specific); size of community (country specific); type of community: urban-rural area; country of origin or ethnic group affiliation.

Additionally coded:
administrative mode of data-collection; weighting factor; case substitution.

Universe:

Research area: Argentina, Australia, Austria, Belgium (Flanders), Bulgaria, Chile, Croatia, Cyprus, Czech Republic, Dominican Republic, Finland, France, Germany, Great Britain, Hungary, Ireland, Israel, Japan, Latvia, Mexico, New Zealand, Norway, Philippines, Poland, Russia, Slovakia, Slovenia, South Africa, South Korea, Sweden, Switzerland, Taiwan, United States, Uruguay

Methodology and Processing

Time Method:


01. October 2006 to 26. January 2009

Data Collector:

Centro de Estudios de Opinión Pública, Universidad de Buenos Aires, Argentina; Deakin Computer Assisted Research Facility, Australia; IFES-Institut Wien, Austria; Significant GfK, Heverlee, Belgien; ProField Data Partners, Bulgaria; ICCOM, Santiago, Chile; Institute for Social Research Zagreb, Croatia; Center of Applied Research, Cyprus College, Cyprus; GfK, Prague, Czech Republic; Asisa Research Group (ARG), Dominikanische Republik; Statistics Finland, Helsinki, Finland; FRANCE-ISSP Association Laboratoire de Sociologie Quantitative, Malakoff, France; TNS Infratest Sozialforschung, München, Deutschland; National Centre for Social Research (NatCen), London, Great Britain; TÁRKI Social Research Institute, Budapest, Hungary; Amárach Field Research, Dublin, Ireland; B.I. and Lucille Cohen Institute for Public Opinion Research, Israel; Central Research Services, Tokyo, Japan; Institute of Philosophy and Sociology, University of Latvia, Riga, Latvia; Instituto de Mercadotecnia y Opinión (IMO), Mexico Massey University, Department of Marketing, New Zealand; TNS Gallup, Oslo, Norway; Social Weather Stations, Quezon City, Philippines; Public Opinion Research Center (CBOS), Poland; Levada-Center, Moscow, Russia; FOCUS, Bratislava, Slovakia; Public Opinion and Mass Communication Research Centre, Ljubljana, Slovenia, Human Sciences Research Council (HSRC), South-Africa; Survey Research Center, Sungkyunkwan University, Seoul, South-Korea SIFO Research & Consulting, Stockholm, Sweden; MIS Trend, Institut pour l'étude des marchés et les sondages d'opinion, Lausanne, Switzerland; Center of Survey Research, Academia Sinica, Taiwan; Department of Economics - Faculty of Social Sciences, University of Uruguay, Montevideo, Uruguay National Opinion Research Center (NORC), Chicago, USA

Sampling Procedure:


Sampling procedures differ for the individual countries: Partly simple, partly multi-stage stratified random sample of respondents 18 years old and older, exclusion: Finland (15), South Africa (16), Japan (16) and Russia (16)

Mode of Data Collection:

Face-to-face interview, mail survey, self-completion questionnaire

Sources Statement

Data Access

Availability Status:

A

Access Authority:

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Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15605

Citation

Title:

Slovenia (Question texts and coding of background variables)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=14910

Citation

Title:

South Africa (Question texts and coding of background variables)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=14913

Citation

Title:

Sweden (Question texts and coding of background variables)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=14909

Citation

Title:

Switzerland (Question texts and coding of background variables)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=14892

Citation

Title:

Taiwan (Question texts and coding of background variables)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=14911

Citation

Title:

Uruguay (Question texts and coding of background variables)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=14912

Citation

Title:

USA (Question texts and coding of background variables)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15606

Citation

Title:

Characteristics of National Population

Citation

Title:

All countries (zip) (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15620

Citation

Title:

Argentina (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15621

Citation

Title:

Australia (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15623

Citation

Title:

Austria (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15622

Citation

Title:

Bulgaria (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15624

Citation

Title:

Chile (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15626

Citation

Title:

Croatia (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15635

Citation

Title:

Cyprus (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15627

Citation

Title:

Czech Republic (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15628

Citation

Title:

Denmark (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15630

Citation

Title:

Finland (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15631

Citation

Title:

Flanders (Belgium) (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15632

Citation

Title:

France (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15633

Citation

Title:

Germany (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15629

Citation

Title:

Great Britain (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15634

Citation

Title:

Hungary (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15636

Citation

Title:

Ireland (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15637

Citation

Title:

Israel (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15638

Citation

Title:

Japan (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15639

Citation

Title:

Korea (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15640

Citation

Title:

Latvia (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15641

Citation

Title:

Mexico (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15642

Citation

Title:

New Zealand (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15644

Citation

Title:

Norway (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15643

Citation

Title:

Philippines (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15645

Citation

Title:

Poland (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15646

Citation

Title:

Russia (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15647

Citation

Title:

Slovakian Republic (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15650

Citation

Title:

Slovenia (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15649

Citation

Title:

South Africa (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15654

Citation

Title:

Sweden (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15648

Citation

Title:

Switzerland (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15625

Citation

Title:

Taiwan (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15651

Citation

Title:

Uruguay (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15653

Citation

Title:

USA (Characteristics of National Population)

Holdings Information:

http://info1.gesis.org/dbksearch13/download.asp?id=15652

Related Studies

Related Publications

Other Reference Note(s)

Citation

Title:

Further Remarks


-

File Description

File : ZA4850_v2-0-0.NSDstat

  • Number of cases: 49729

  • No. of variables per record: 306

  • Type of File: NSDstat 200203

Variable Description

Variable Groups

  • Archive and ID variables
  • Substantial variables
  • Ctry. specific: degree
  • Ctry. specific: rinc
  • Ctry. specific: inc
  • Ctry. specific: party
  • Ctry. specific: region
  • Ctry. specific: size
  • ISSP demographics
  • Protocol variables
  • Weight

Archive and ID variables

Variables within Archive and ID variables

  • V1: Study Number
  • V2: GESIS archive version
  • V3: Respondent ID Number
  • V4: Country/Sample (see V5 for codes for whole nation states)
  • V5: Country (see V4 for codes for the sample)

Substantial variables

Variables within Substantial variables

  • V1: Study Number
  • V2: GESIS archive version
  • V3: Respondent ID Number
  • V4: Country/Sample (see V5 for codes for whole nation states)
  • V5: Country (see V4 for codes for the sample)
  • V6: Q1a Frequency of activities in free time: Watch TV
  • V7: Q1b Frequency of free time activities: Go to movies
  • V8: Q1c Frequency of free time activities: Go out shopping
  • V9: Q1d Frequency of free time activities: Read books
  • V10: Q1e Frequency of free time activities: Attend cultural events
  • V11: Q1f Frequency of free time activities: Get together with relatives
  • V12: Q1g Frequency of free time activities: Get together with friends
  • V13: Q1h Frequency of free time activities: Play cards
  • V14: Q1i Frequency of free time activities: Listen to music
  • V15: Q1j Frequency of free time activities: Sports, Gym
  • V16: Q1k Frequency of free time activities: Attend sporting events
  • V17: Q1l Frequency of free time activities: Do handicrafts
  • V18: Q1m Frequency of free time activities: Spend time on the Internet
  • V19: Q2a Free time activities enable you to be yourself
  • V20: Q2b Free time activities strengthen your relationships
  • V21: Q3a Enjoyment from free time activities: Reading books
  • V22: Q3b Enjoyment from: Getting together with friends
  • V23: Q3c Enjoyment from: Taking part in physical activities
  • V24: Q3d Enjoyment from: Watching TV, videos
  • V25: Q4a How often in free time: Establish useful contacts
  • V26: Q4b How often in free time: Relax and recover
  • V27: Q4c How often in free time: Learn or develop skills
  • V28: Q5aa How often in free time: Feel bored
  • V29: Q5ab How often in free time: Feel rushed
  • V30: Q5ac How often in free time: Thinking about work
  • V31: Q5b Preference in free time: With other people or by oneself
  • V32: Q6a Change in spending time: Time in a paid job
  • V33: Q6b Change in spending time: Doing household work
  • V34: Q6c Change in spending time: Time with your family
  • V35: Q6d Change in spending time: Time in leisure activities
  • V36: Q7a How many nights away from home for holidays
  • V37: Q7b How many days of leave from work
  • V38: Q8a Most frequent sport or physical activity
  • V39: Q8b Type of games played most frequently
  • V40: Q9a Reasons for sport or games: Physical or mental health
  • V41: Q9b Reasons for sport or games: To meet other people
  • V42: Q9c Reasons for sport or games: To compete against others
  • V43: Q9d Reasons for sport or games: To look good
  • V44: Q10a Most frequent sport watched on TV
  • V45: Q10b Second most frequent sport watched on TV
  • V46: Q11 How proud about an international sport competition?
  • V47: Q12a Opinion: Sport develops children´s character
  • V48: Q12b Opinion: Too much sport on TV
  • V49: Q12c Opinion: Sport brings different groups together
  • V50: Q12d Opinion: International sport competitions create tension between countries
  • V51: Q12e Opinion: Government should spend more money on sports
  • V52: Q13a Participation: A sports association/group
  • V53: Q13b Participation: A cultural association/group
  • V54: Q13c Participation: A church or religious organisation
  • V55: Q13d Participation: A community-service or civic association/group
  • V56: Q13e Participation: A political party or organisation
  • V57: Q14a Trust in people or careful in dealing with people
  • V58: Q14b Personal interest in politics
  • V59: Q15a Obstacle: Lack of facilities nearby
  • V60: Q15b Obstacle: Lack of money
  • V61: Q15c Obstacle: Personal health, age or disability
  • V62: Q15d Obstacle: Taking care of someone
  • V63: Q15e Obstacle: Lack of time
  • V64: Q16 How happy or unhappy in general, these days
  • V65: Q17 Status of health in general
  • V66: Q18a Yesterday was: Working-day or holiday
  • V67: Q18b Time of getting up yesterday
  • V68: Q18c Time go to sleep yesterday
  • V69: Q19a Height of Respondent: cm
  • V70: Q19b Weight of Respondent: kg
  • V71: Q20 Would you like to gain or lose weight?
  • V72: Q21a Pictures of the ideal shape of a man
  • V73: Q21b Pictures of the ideal shape of a woman

Ctry. specific: degree

Variables within Ctry. specific: degree

  • V1: Study Number
  • V8: Q1c Frequency of free time activities: Go out shopping
  • V9: Q1d Frequency of free time activities: Read books
  • V10: Q1e Frequency of free time activities: Attend cultural events
  • V11: Q1f Frequency of free time activities: Get together with relatives
  • AR_DEGR: Country specific education: Argentina
  • AT_DEGR: Country specific education: Austria
  • AU_DEGR: Country specific education: Australia
  • BG_DEGR: Country specific education: Bulgaria
  • CH_DEGR: Country specific education: Switzerland
  • CL_DEGR: Country specific education: Chile
  • CY_DEGR: Country specific education: Cyprus
  • CZ_DEGR: Country specific education: Czech Republic
  • DE_DEGR: Country specific education: Germany
  • DO_DEGR: Country specific education: Dominican Republic
  • FI_DEGR: Country specific education: Finland
  • FLA_DEGR: Country specific education: Flanders
  • FR_DEGR: Country specific education: France
  • GB_DEGR: Country specific education: Britain
  • HR_DEGR: Country specific education: Croatia
  • HU_DEGR: Country specific education: Hungary
  • IE_DEGR: Country specific education: Ireland
  • IL_DEGR: Country specific education: Israel
  • JP_DEGR: Country specific education: Japan
  • KR_DEGR: Country specific education: South Korea
  • LV_DEGR: Country specific education: Latvia
  • MX_DEGR: Country specific education: Mexico
  • NO_DEGR: Country specific education: Norway
  • NZ_DEGR: Country specific education: New Zealand
  • PH_DEGR: Country specific education: Philippines
  • PL_DEGR: Country specific education: Poland
  • RU_DEGR: Country specific education: Russia
  • SE_DEGR: Country specific education: Sweden
  • SI_DEGR: Country specific education: Slovenia
  • SK_DEGR: Country specific education: Slovak Republic
  • TW_DEGR: Country specific education: Taiwan
  • US_DEGR: Country specific education: USA
  • UY_DEGR: Country specific education: Uruguay
  • ZA_DEGR: Country specific education: South Africa

Ctry. specific: rinc

Variables within Ctry. specific: rinc

  • V1: Study Number
  • V12: Q1g Frequency of free time activities: Get together with friends
  • V13: Q1h Frequency of free time activities: Play cards
  • V14: Q1i Frequency of free time activities: Listen to music
  • V15: Q1j Frequency of free time activities: Sports, Gym
  • AR_RINC: R: Earnings: Argentina
  • AT_RINC: R: Earnings: Austria
  • AU_RINC: R: Earnings: Australia
  • BG_RINC: R: Earnings: Bulgaria
  • CH_RINC: R: Earnings: Switzerland
  • CL_RINC: R: Earnings: Chile
  • CY_RINC: R: Earnings: Cyprus
  • CZ_RINC: R: Earnings: Czech Republic
  • DE_RINC: R: Earnings: Germany
  • DO_RINC: R: Earnings: Dominican Republic
  • FI_RINC: R: Earnings: Finland
  • FLA_RINC: R: Earnings: Flanders
  • FR_RINC: R: Earnings: France
  • GB_RINC: R: Earnings: Great Britain
  • HR_RINC: R: Earnings: Croatia
  • HU_RINC: R: Earnings: Hungary
  • IE_RINC: R: Earnings: Ireland
  • IL_RINC: R: Earnings: Israel
  • JP_RINC: R: Earnings: Japan
  • KR_RINC: R: Earnings: South Korea
  • LV_RINC: R: Earnings: Latvia
  • MX_RINC: R: Earnings: Mexico
  • NO_RINC: R: Earnings: Norway
  • NZ_RINC: R: Earnings: New Zealand
  • PH_RINC: R: Earnings: Philippines
  • PL_RINC: R: Earnings: Poland
  • RU_RINC: R: Earnings: Russia
  • SE_RINC: R: Earnings: Sweden
  • SI_RINC: R: Earnings: Slovenia
  • SK_RINC: R: Earnings: Slovak Republic
  • TW_RINC: R: Earnings: Taiwan
  • US_RINC: R: Earnings: USA
  • UY_RINC: R: Earnings: Uruguay
  • ZA_RINC: R: Earnings: South Africa

Ctry. specific: inc

Variables within Ctry. specific: inc

  • V1: Study Number
  • V15: Q1j Frequency of free time activities: Sports, Gym
  • V16: Q1k Frequency of free time activities: Attend sporting events
  • V17: Q1l Frequency of free time activities: Do handicrafts
  • V18: Q1m Frequency of free time activities: Spend time on the Internet
  • V19: Q2a Free time activities enable you to be yourself
  • AR_INC: Family income: Argentina
  • AT_INC: Family income: Austria
  • AU_INC: Family income: Australia
  • BG_INC: Family income: Bulgaria
  • CH_INC: Family income: Switzerland
  • CL_INC: Family income: Chile
  • CY_INC: Family income: Cyprus
  • CZ_INC: Family income: Czech Republic
  • DE_INC: Family income: Germany
  • DO_INC: Family income: Dominican Republic
  • FI_INC: Family income: Finland
  • FLA_INC: Family income: Flanders
  • FR_INC: Family income: France
  • GB_INC: Family income: Great Britain
  • HR_INC: Family income: Croatia
  • HU_INC: Family income: Hungary
  • IE_INC: Family income: Ireland
  • IL_INC: Family income: Israel
  • JP_INC: Family income: Japan
  • KR_INC: Family income: South Korea
  • LV_INC: Family income: Latvia
  • MX_INC: Family income: Mexico
  • NO_INC: Family income: Norway
  • NZ_INC: Family income: New Zealand
  • PH_INC: Family income: Philippines
  • PL_INC: Family income: Poland
  • RU_INC: Family income: Russia
  • SE_INC: Family income: Sweden
  • SI_INC: Family income: Slovenia
  • SK_INC: Family income: Slovak Republic
  • TW_INC: Family income: Taiwan
  • US_INC: Family income: USA
  • UY_INC: Family income: Uruguay
  • ZA_INC: Family income: South Africa

Ctry. specific: party

Variables within Ctry. specific: party

  • V1: Study Number
  • V2: GESIS archive version
  • V19: Q2a Free time activities enable you to be yourself
  • V20: Q2b Free time activities strengthen your relationships
  • V21: Q3a Enjoyment from free time activities: Reading books
  • V22: Q3b Enjoyment from: Getting together with friends
  • AR_PRTY: R: Party affiliation: Argentina
  • AT_PRTY: R: Party affiliation: Austria (vote last election)
  • AU_PRTY: R: Party affiliation: Australia
  • BG_PRTY: R: Party affiliation: Bulgaria
  • CH_PRTY: R: Party affiliation: Switzerland
  • CL_PRTY: R: Party affiliation: Chile
  • CY_PRTY: R: Party affiliation: Cyprus
  • CZ_PRTY: R: Party affiliation: Czech Republic
  • DE_PRTY: R: Party affiliation: Germany
  • DO_PRTY: R: Party affiliation: Dominican Republic
  • FI_PRTY: R: Party affiliation: Finland
  • FLA_PRTY: R: Party affiliation: Flanders
  • FR_PRTY: R: Party affiliation: France
  • GB_PRTY: R: Party affiliation: Great Britain
  • HR_PRTY: R: Party affiliation: Croatia
  • HU_PRTY: R: Party affiliation: Hungary
  • IE_PRTY: R: Party affiliation: Ireland
  • IL_PRTY: R: Party affiliation: Israel
  • JP_PRTY: R: Party affiliation: Japan
  • KR_PRTY: R: Party affiliation: South Korea
  • LV_PRTY: R: Party affiliation: Latvia
  • MX_PRTY: R: Party affiliation: Mexico
  • NO_PRTY: R: Party affiliation: Norway
  • NZ_PRTY: R: Party affiliation: New Zealand
  • PH_PRTY: R: Party affiliation: Philippines
  • PL_PRTY: R: Party affiliation: Poland
  • RU_PRTY: R: Party affiliation: Russia
  • SE_PRTY: R: Party affiliation: Sweden
  • SI_PRTY: R: Party affiliation: Slovenia
  • SK_PRTY: R: Party affiliation: Slovak Republic
  • TW_PRTY: R: Party affiliation: Taiwan
  • US_PRTY: R: Party affiliation: USA
  • UY_PRTY: R: Party affiliation: Uruguay
  • ZA_PRTY: R: Party affiliation: South Africa

Ctry. specific: region

Variables within Ctry. specific: region

  • V2: GESIS archive version
  • V23: Q3c Enjoyment from: Taking part in physical activities
  • V24: Q3d Enjoyment from: Watching TV, videos
  • V25: Q4a How often in free time: Establish useful contacts
  • V26: Q4b How often in free time: Relax and recover
  • AR_REG: Region: Argentina
  • AT_REG: Region: Austria
  • AU_REG: Region: Australia
  • BG_REG: Region: Bulgaria
  • CH_REG: Region: Switzerland
  • CL_REG: Region: Chile
  • CY_REG: Region: Cyprus
  • CZ_REG: Region: Czech Republic
  • DE_REG: Region: Germany
  • DO_REG: Region: Dominican Republic
  • FI_REG: Region: Finland
  • FLA_REG: Region: Flanders
  • FR_REG: Region: France
  • GB_REG: Region: Great Britain
  • HR_REG: Region: Croatia
  • HU_REG: Region: Hungary
  • IE_REG: Region: Ireland
  • IL_REG: Region: Israel
  • JP_REG: Region: Japan
  • KR_REG: Region: South Korea
  • LV_REG: Region: Latvia
  • MX_REG: Region: Mexico
  • NO_REG: Region: Norway
  • NZ_REG: Region: New Zealand
  • PH_REG: Region: Philippines
  • PL_REG: Region: Poland
  • RU_REG: Region: Russia
  • SE_REG: Region: Sweden
  • SI_REG: Region: Slovenia
  • SK_REG: Region: Slovak Republic
  • TW_REG: Region: Taiwan
  • US_REG: Region: USA
  • UY_REG: Region: Uruguay
  • ZA_REG: Region: South Africa

Ctry. specific: size

Variables within Ctry. specific: size

  • V2: GESIS archive version
  • V3: Respondent ID Number
  • V26: Q4b How often in free time: Relax and recover
  • V27: Q4c How often in free time: Learn or develop skills
  • V28: Q5aa How often in free time: Feel bored
  • V29: Q5ab How often in free time: Feel rushed
  • V30: Q5ac How often in free time: Thinking about work
  • AR_SIZE: Size of community: Argentina
  • AT_SIZE: Size of community: Austria
  • AU_SIZE: Size of community: Australia
  • BG_SIZE: Size of community: Bulgaria
  • CH_SIZE: Size of community: Switzerland
  • CL_SIZE: Size of community: Republic of Chile
  • CY_SIZE: Size of community: Cyprus
  • CZ_SIZE: Size of community: Czech Republic
  • DE_SIZE: Size of community: Germany
  • DO_SIZE: Size of community: Dominican Republic
  • FI_SIZE: Size of community: Finland
  • FLA_SIZE: Size of community: Flanders
  • FR_SIZE: Size of community: France
  • GB_SIZE: Size of community: Great Britain
  • HR_SIZE: Size of community: Croatia
  • HU_SIZE: Size of community: Hungary
  • IE_SIZE: Size of community: Ireland
  • IL_SIZE: Size of community: Israel
  • JP_SIZE: Size of community: Japan
  • KR_SIZE: Size of community: South Korea
  • LV_SIZE: Size of community: Latvia
  • MX_SIZE: Size of community: Mexico
  • NO_SIZE: Size of community: Norway
  • NZ_SIZE: Size of community: New Zealand
  • PH_SIZE: Size of community: Philippines
  • PL_SIZE: Size of community: Poland
  • RU_SIZE: Size of community: Russia
  • SE_SIZE: Size of community: Sweden
  • SI_SIZE: Size of community: Slovenia
  • SK_SIZE: Size of community: Slovak Republic
  • TW_SIZE: Size of community: Taiwan
  • US_SIZE: Size of community: USA
  • UY_SIZE: Size of community: Uruguay
  • ZA_SIZE: Size of community: South Africa

ISSP demographics

Variables within ISSP demographics

  • V1: Study Number
  • V2: GESIS archive version
  • V3: Respondent ID Number
  • V7: Q1b Frequency of free time activities: Go to movies
  • V11: Q1f Frequency of free time activities: Get together with relatives
  • V12: Q1g Frequency of free time activities: Get together with friends
  • V19: Q2a Free time activities enable you to be yourself
  • V22: Q3b Enjoyment from: Getting together with friends
  • V23: Q3c Enjoyment from: Taking part in physical activities
  • V30: Q5ac How often in free time: Thinking about work
  • SEX: R: Sex
  • AGE: R: Age
  • MARITAL: R: Marital status
  • COHAB: R: Steady life-partner
  • EDUCYRS: R: Education I: years of schooling
  • DEGREE: R: Education II-highest education level
  • WRKST: R: Current employment status
  • WRKHRS: R: Hours worked weekly
  • ISCO88: R: Occupation ILO,ISCO 1988 4-digit
  • WRKTYPE: R: Workg f priv.,pub sector, selfempl.
  • NEMPLOY: R: Self-employed - number of employees
  • WRKSUP: R: Supervises others at work
  • UNION: R: Trade union membership
  • SPWRKST: S-P: Current employment status
  • SPISCO88: S-P: Occupation ILO,ISCO 1988 4-digit
  • SPWRKTYP: S-P:Workg f priv,pub sector,self-empl.
  • HOMPOP: How many persons in household
  • HHCYCLE: Household composition:children+adults
  • PARTY_LR: R: Party affiliation: left-right (derived)
  • VOTE_LE: R: Vote last election: yes, no
  • RELIG: R: Religious denomination
  • RELIGGRP: R: Religious main groups (derived)
  • ATTEND: R: Attendance of religious services
  • TOPBOT: R:Top Bottom self-placement 10 pt scale
  • URBRURAL: Type of community: R.s self-assesment
  • ETHNIC: Family origin, ethnic group, identity

Protocol variables

Variables within Protocol variables

  • V3: Respondent ID Number
  • V30: Q5ac How often in free time: Thinking about work
  • MODE: Administrative mode of data-collection
  • SUBSCASE: Case substitution flag

Weight

Variables within Weight

  • V3: Respondent ID Number
  • V30: Q5ac How often in free time: Thinking about work
  • WEIGHT: Weighting factor

Variables


V1: Study Number

Location:

Width: 6

Question: GESIS Study number ZA4850 for the ISSP 2007 'Leisure Time and Sports'

Study number of the data set producer and archiving number



Range of Valid Data Values: 4850- 4850

Summary Statistics: Valid 49729 ; Min. 4850 ; Max. 4850

Variable Format: numeric


V2: GESIS archive version

Location:

Width: 25

Question: VERSION AND RELEASE DATE OF THE ARCHIVE DATA SET

This variable identifies the GESIS archive version number of this data set and the corresponding release date, recorded as a string.

The version number is composed of a sequence of three numbers. The mayor number is incremented when there are changes in the composition of the data set (e.g. additional variables or cases), the minor or second number is incremented when significant errors have been fixed (e.g. coding errors, misleading value labels), and the third or revision number is incremented when minor bugs are fixed (e.g. spelling errors in variable or value labels).



Summary Statistics: Valid 49729

Variable Format: character


V3: Respondent ID Number

Location:

Width: 6

Question: Respondent Identification Number

The six digit numbers contain the original identification numbers of the respondents. The ID number is only unique within its respective country's sample (V4). To provide a unique identification across the full integrated file, it is necessary to combine V3 and V4.



Range of Valid Data Values: 1- 4194116

Summary Statistics: Valid 49729 ; Min. 1 ; Max. 4194116

Variable Format: numeric


V4: Country/Sample (see V5 for codes for whole nation states)

Location:

Width: 5

Question: Country/Sample (see V5 for codes for whole nation states).

Variable uses the three digit ISO Code for the country and a numeric appendix after the decimal comma to indicate a subsample. If no subsamples exist for a given country, this holds the country's original ISO Code (see V5).


32 AR-Argentina
36 AU-Australia
40 AT-Austria<br/> 56,1 FLA-Flanders
100 BG-Bulgaria
152 CL-Chile
158 TW-Taiwan
191 HR-Croatia
196 CY-Cyprus
203 CZ-Czech Republic
214 DO-Dominican Republic
246 FI-Finland
250 FR-France
276,1 DE-W-Germany-West
276,2 DE-E-Germany-East
348 HU-Hungary
372 IE-Ireland
376,1 IL-Israel, Jewish
376,2 IL-Israel, Arab
392 JP-Japan
410 KR-South Korea
428 LV-Latvia
484 MX-Mexico
554 NZ-New Zealand
578 NO-Norway
608 PH-Philippines
616 PL-Poland
643 RU-Russia
703 SK-Slovak Republic
705 SI-Slovenia
710 ZA-South Africa
752 SE-Sweden
756 CH-Switzerland
826,1 GB-Great Britain
826,2 NIRL-Northern Ireland
840 US-United States
858 UY-Uruguay


Range of Valid Data Values: 32- 862

Summary Statistics: Valid 49729 ; Min. 32 ; Max. 858

Variable Format: numeric


V5: Country (see V4 for codes for the sample)

Location:

Width: 3

Question: ISO Code of the countries (three digit)


32 AR-Argentina
36 AU-Australia
40 AT-Austria
56 FLA-Flanders (Belgium)
100 BG-Bulgaria
152 CL-Chile
158 TW-Taiwan
191 HR-Croatia
196 CY-Cyprus
203 CZ-Czech Republic
214 DO-Dominican Republic
246 FI-Finland
250 FR-France
276 DE-Germany
348 HU-Hungary
372 IE-Ireland
376 IL-Israel
392 JP-Japan
410 KR-South Korea
428 LV-Latvia
484 MX-Mexico
554 NZ-New Zealand
578 NO-Norway
608 PH-Philippines
616 PL-Poland
643 RU-Russia
703 SK-Slovak Republic
705 SI-Slovenia
710 ZA-South Africa
752 SE-Sweden
756 CH-Switzerland
826 GB-Great Britain (UK)
840 US-United States
858 UY-Uruguay


Range of Valid Data Values: 32- 862

Summary Statistics: Valid 49729 ; Min. 32 ; Max. 858

Variable Format: numeric


V6: Q1a Frequency of activities in free time: Watch TV

Location:

Width: 1

Question: The following questions are related to your free time, that is, time you are not occupied with work or household duties or other activities that you are obliged to do.

Q.1 How often do you do each of the following activities in your free time?
(Please tick one box on each line)
Q.1a Watch TV, DVD, videos

1 Daily
2 Several times a week
3 Several times a month
4 Several times a year or less often
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 49402 ; Min. 1 ; Max. 5

Variable Format: numeric


V7: Q1b Frequency of free time activities: Go to movies

Location:

Width: 1

Question: Q.1 How often do you do each of the following activities in your free time?

Q.1b Free time activities: Go to the movies

1 Daily
2 Several times a week
3 Several times a month
4 Several times a year or less often
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 49142 ; Min. 1 ; Max. 5

Variable Format: numeric


V8: Q1c Frequency of free time activities: Go out shopping

Location:

Width: 1

Question: Q.1 How often do you do each of the following activities in your free time?

Q.1c Free time activities: Go out shopping

1 Daily
2 Several times a week
3 Several times a month
4 Several times a year or less often
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 49052 ; Min. 1 ; Max. 5

Variable Format: numeric


V9: Q1d Frequency of free time activities: Read books

Location:

Width: 1

Question: Q.1 How often do you do each of the following activities in your free time?

Q.1d Free time activities: Read books

1 Daily
2 Several times a week
3 Several times a month
4 Several times a year or less often
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 49122 ; Min. 1 ; Max. 5

Variable Format: numeric


V10: Q1e Frequency of free time activities: Attend cultural events

Location:

Width: 1

Question: Q.1 How often do you do each of the following activities in your free time?

Q.1e Free time activities: Attend cultural events such as concerts, live theatre, exhibitions

1 Daily
2 Several times a week
3 Several times a month
4 Several times a year or less often
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 49058 ; Min. 1 ; Max. 5

Variable Format: numeric


V11: Q1f Frequency of free time activities: Get together with relatives

Location:

Width: 1

Question: Q.1 How often do you do each of the following activities in your free time?

Q.1f Free time activities: Get together with relatives

1 Daily
2 Several times a week
3 Several times a month
4 Several times a year or less often
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 49216 ; Min. 1 ; Max. 5

Variable Format: numeric


V12: Q1g Frequency of free time activities: Get together with friends

Location:

Width: 1

Question: Q.1 How often do you do each of the following activities in your free time?

Q.1g Free time activities: Get together with friends

1 Daily
2 Several times a week
3 Several times a month
4 Several times a year or less often
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 49214 ; Min. 1 ; Max. 5

Variable Format: numeric


V13: Q1h Frequency of free time activities: Play cards

Location:

Width: 1

Question: Q.1 How often do you do each of the following activities in your free time?

Q.1h Free time activities: Play cards or board games

1 Daily
2 Several times a week
3 Several times a month
4 Several times a year or less often
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 48959 ; Min. 1 ; Max. 5

Variable Format: numeric


V14: Q1i Frequency of free time activities: Listen to music

Location:

Width: 1

Question: Q.1 How often do you do each of the following activities in your free time?

Q.1i Free time activities: Listen to music

1 Daily
2 Several times a week
3 Several times a month
4 Several times a year or less often
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 49130 ; Min. 1 ; Max. 5

Variable Format: numeric


V15: Q1j Frequency of free time activities: Sports, Gym

Location:

Width: 1

Question: Q.1 How often do you do each of the following activities in your free time?

Q.1j Free time activities: Take part in physical activities such as sports, going to the gym, going for a walk

1 Daily
2 Several times a week
3 Several times a month
4 Several times a year or less often
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 49209 ; Min. 1 ; Max. 5

Variable Format: numeric


V16: Q1k Frequency of free time activities: Attend sporting events

Location:

Width: 1

Question: Q.1 How often do you do each of the following activities in your free time?

Q.1k Free time activities: Attend sporting events as a spectator

1 Daily
2 Several times a week
3 Several times a month
4 Several times a year or less often
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 089

Summary Statistics: Valid 49117 ; Min. 1 ; Max. 5

Variable Format: numeric


V17: Q1l Frequency of free time activities: Do handicrafts

Location:

Width: 1

Question: Q.1 How often do you do each of the following activities in your free time?

Q.1l Free time activities: Do handicrafts such as needle work, wood work, etc.

1 Daily
2 Several times a week
3 Several times a month
4 Several times a year or less often
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 49119 ; Min. 1 ; Max. 5

Variable Format: numeric


V18: Q1m Frequency of free time activities: Spend time on the Internet

Location:

Width: 1

Question: Q.1 How often do you do each of the following activities in your free time?

Q.1m Free time activities: Spend time on the Internet/ PC

1 Daily
2 Several times a week
3 Several times a month
4 Several times a year or less often
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 49182 ; Min. 1 ; Max. 5

Variable Format: numeric


V19: Q2a Free time activities enable you to be yourself

Location:

Width: 1

Question: Q.2 When you are involved in free time activities to what extent do they enable you
(Please tick one box on each line )
Q.2a To be the kind person you really are?

1 Very much
2 A lot
3 Somewhat
4 A little
5 Not at all
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 46480 ; Min. 1 ; Max. 5

Variable Format: numeric


V20: Q2b Free time activities strengthen your relationships

Location:

Width: 1

Question: Q.2 When you are involved in free time activities to what extent do they enable you

Q.2b To strengthen your relationships with other people?

1 Very much
2 A lot
3 Somewhat
4 A little
5 Not at all
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 46741 ; Min. 1 ; Max. 5

Variable Format: numeric


V21: Q3a Enjoyment from free time activities: Reading books

Location:

Width: 1

Question: Q.3 Please, indicate how much enjoymet you get from the following free time activities:
(Please tick one box on each line)
Q.3a Reading books

1 No enjoyment
2 Not much enjoyment
3 Some enjoyment
4 A fair amount of enjoyment
5 A great amount of enjoyment
6 I never do that
8 Can't choose
9 No answer

in Hungary (HU):
0 Not available


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 089

Summary Statistics: Valid 48031 ; Min. 1 ; Max. 6

Variable Format: numeric


V22: Q3b Enjoyment from: Getting together with friends

Location:

Width: 1

Question: Q.3 Please, indicate how much enjoymet you get from the following free time activities:

Q.3b Enjoyment from: Getting tgether with friends

1 No enjoyment
2 Not much enjoyment
3 Some enjoyment
4 A fair amount of enjoyment
5 A great amount of enjoyment
6 I never do that
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 89

Summary Statistics: Valid 49216 ; Min. 1 ; Max. 6

Variable Format: numeric


V23: Q3c Enjoyment from: Taking part in physical activities

Location:

Width: 1

Question: Q.3 Please, indicate how much enjoymet you get from the following free time activities:

Q.3c Enjoyment from: Taking part in physical activities such as sports, going to t he gym, going for a walk

1 No enjoyment
2 Not much enjoyment
3 Some enjoyment
4 A fair amount of enjoyment
5 A great amount of enjoyment
6 I never do that
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 89

Summary Statistics: Valid 49020 ; Min. 1 ; Max. 6

Variable Format: numeric


V24: Q3d Enjoyment from: Watching TV, videos

Location:

Width: 1

Question: Q.3 Please, indicate how much enjoymet you get from the following free time activities:

Q.3d Enjoyment from: Watching TV, DVD, videos

1 No enjoyment
2 Not much enjoyment
3 Some enjoyment
4 A fair amount of enjoyment
5 A great amount of enjoyment
6 I never do that
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 89

Summary Statistics: Valid 49301 ; Min. 1 ; Max. 6

Variable Format: numeric


V25: Q4a How often in free time: Establish useful contacts

Location:

Width: 1

Question: II The meaning of time and leisure, and its relation to work and other spheres of life

Q.4 People do different things during their free time. For each of the following, please indicate how often you use your free time to
(Please tick one box on each line)
Q.4a Establish useful contacts

1 Very often
2 Often
3 Sometimes
4 Seldom
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 47851 ; Min. 1 ; Max. 5

Variable Format: numeric


V26: Q4b How often in free time: Relax and recover

Location:

Width: 1

Question: Q.4 People do different things during their free time. For each of the following, please indicate how often you use your free time to

Q.4b Relax and recover

1 Very often
2 Often
3 Sometimes
4 Seldom
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 48655 ; Min. 1 ; Max. 5

Variable Format: numeric


V27: Q4c How often in free time: Learn or develop skills

Location:

Width: 1

Question: Q.4 People do different things during their free time. For each of the following, please indicate how often you use your free time to

Q.4c Try to learn or develop skills

1 Very often
2 Often
3 Sometimes
4 Seldom
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 47887 ; Min. 1 ; Max. 5

Variable Format: numeric


V28: Q5aa How often in free time: Feel bored

Location:

Width: 1

Question: Q.5a In your free time, how often do you
(Please tick one boy on each line)
Q.5aa Feel bored?

1 Very often
2 Often
3 Sometimes
4 Seldom
5 Never
8 Don't know, can't choose, can't say
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 48837 ; Min. 1 ; Max. 5

Variable Format: numeric


V29: Q5ab How often in free time: Feel rushed

Location:

Width: 1

Question: Q.5a In your free time, how often do you

Q.5ab Feel rushed?

1 Very often
2 Often
3 Sometimes
4 Seldom
5 Never
8 Don't know, can't choose, can't say
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 48743 ; Min. 1 ; Max. 5

Variable Format: numeric


V30: Q5ac How often in free time: Thinking about work

Location:

Width: 1

Question: Q.5a In your free time, how often do you

Q.5ac Find yourself thinking about work?

0 Doesn't apply
1 Very often
2 Often
3 Sometimes
4 Seldom
5 Never
8 Don't know, can't choose, can't say
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 089

Summary Statistics: Valid 44445 ; Min. 1 ; Max. 5

Variable Format: numeric


V31: Q5b Preference in free time: With other people or by oneself

Location:

Width: 1

Question: Q.5b In your free time, do you prefer to be with other people or do you prefer to be by yourself?
(Please tick one box only)

1 Most of time with other people
2 More with other people than alone
3 More alone than with other people
4 Most of time alone
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 89

Summary Statistics: Valid 47709 ; Min. 1 ; Max. 4

Variable Format: numeric


V32: Q6a Change in spending time: Time in a paid job

Location:

Width: 1

Question: Q.6 Suppose you could change the way you spoend your time, spending morer time on things and less time on others which of the things on the folllowing list would you like to spend more time on, which woild you ike to spend less time on and which you like to spend the same amount of time on as now?
(Please tick one box on each line)
Q.6a Time in a paid job

0 Doesn't apply
1 Much more time
2 A bit more time
3 Same time as now
4 A bit less time
5 Much less time
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 089

Summary Statistics: Valid 36913 ; Min. 1 ; Max. 5

Variable Format: numeric


V33: Q6b Change in spending time: Doing household work

Location:

Width: 1

Question: Q.6 Suppose you could change the way you spoend your time, spending morer time on things and less time on others which of the things on the folllowing list would you like to spend more time on, which woild you ike to spend less time on and which you like to spend the same amount of time on as now?

Q.6b Spend more time in: Time doing household work

0 Doesn't apply
1 Much more time
2 A bit more time
3 Same time as now
4 A bit less time
5 Much less time
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 089

Summary Statistics: Valid 46074 ; Min. 1 ; Max. 5

Variable Format: numeric


V34: Q6c Change in spending time: Time with your family

Location:

Width: 1

Question: Q.6 Suppose you could change the way you spoend your time, spending morer time on things and less time on others which of the things on the folllowing list would you like to spend more time on, which woild you ike to spend less time on and which you like to spend the same amount of time on as now?

Q.6c Spend more time in: Time with your family

0 Doesn't apply
1 Much more time
2 A bit more time
3 Same time as now
4 A bit less time
5 Much less time
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 089

Summary Statistics: Valid 47711 ; Min. 1 ; Max. 5

Variable Format: numeric


V35: Q6d Change in spending time: Time in leisure activities

Location:

Width: 1

Question: Q.6 Suppose you could change the way you spoend your time, spending morer time on things and less time on others which of the things on the folllowing list would you like to spend more time on, which woild you ike to spend less time on and which you like to spend the same amount of time on as now?

Q.6d Spend more time in: Time in leisure activities

0 Doesn't apply
1 Much more time
2 A bit more time
3 Same time as now
4 A bit less time
5 Much less time
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 089

Summary Statistics: Valid 46746 ; Min. 1 ; Max. 5

Variable Format: numeric


V36: Q7a How many nights away from home for holidays

Location:

Width: 1

Question: Q.7a In the last 12 months, how many nights altogether did you stay away from home fpor holidays or social visits?
(Please tick one box only)

0 I was not away
1 1-5 nights
2 6-10 nights
3 11-20 nights
4 21-30 nights
5 More than 30 nights
8 Can't choose
9 No answer


Range of Valid Data Values: 0- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 48327 ; Min. 0 ; Max. 5

Variable Format: numeric


V37: Q7b How many days of leave from work

Location:

Width: 1

Question: Q.7b In the last 12 months, how many days of leave from your work, if any, did you take altogether (do not include maternity or sick leaves or similar types of leave)?
(Please tick one box only )

0 None, I was not away
1 1-5 days
2 6-10 days
3 11-20 days
4 21-30 days
5 More than 30 days
6 I do not work
8 Can't choose
9 No answer


Range of Valid Data Values: 0- 5

Range of Invalid Data Values: 689

Summary Statistics: Valid 33598 ; Min. 0 ; Max. 5

Variable Format: numeric


V38: Q8a Most frequent sport or physical activity

Location:

Width: 3

Question: III Sport/ game activities and subjective functions of sport and games

Q.8a What sport or physical activity do you take part in most frequently? (if you do not take part in any sport or physical activity, please tick the box provided below).
(&lt; Open-ended>)
Q.8a Most frequent sport or physical activity

100 Team sports
101 American football
102 Baseball, softball
103 Basketball
104 Cricket
105 Ice hockey
106 Field hockey
107 Football, soccer
108 Handball
109 Netball
110 Polo, water polo
111 Rugby
112 Volleyball
199 Other team sports
200 Racket sports
201 Badminton
202 Squash
203 Table tennis
204 Tennis
299 Other racket or bat sports
300 Athletics and fitness sports
301 Athletics (e.g. running, long-/high-jumping), marathon
302 Body training (eg body-building, artist.gymnastics)
303 Fitness (aerobics, exercise machine-training, work-out)
304 Jogging
305 Walking, Nordic-w, trekking, climbing)
399 Other fitness sports
400 Other sports
401 Adrenaline sports (e.g. bungee-jumping, paragliding)
402 Billiards, pool, snooker
403 Biathlon, triathlon
404 Bowling, curling, bocce
405 Boat sports (e.g. sailing, rowing, yachting)
406 Bullfight
407 Cockfighting
408 Cycling, mountain-biking
409 Dancing (e.g. ballroom dancing, ballet)
410 Darts
411 Fencing
412 Fishing, hunting
413 Golf, minigolf
414 Horse riding, horse racing
415 Ice skating
416 Inline skating, skateboarding, roller skating
417 Martial arts (e.g. Boxing, wrestling, Judo)
418 Motor sports (motor racing, go carting)
419 Rodeo
420 Shooting (pistols, rifle, archery)
421 Swimming, diving, snorkeling
422 Surfing, water-skiing
423 Snow-sports (skiing, snowboarding, cross-country)
499 Other sports
996 I do not take part in any sport, none, no frequent sport
998 Don´t know, can´t choose
999 No answer


Range of Valid Data Values: 100- 499

Range of Invalid Data Values: 996- 999

Summary Statistics: Valid 28643 ; Min. 100 ; Max. 499

Variable Format: numeric


V39: Q8b Type of games played most frequently

Location:

Width: 2

Question: Q.8b Thinking about games rather than sports or physical activities, what type of game do you play most frequently? (Select the most appropriate game from the list below and tick the corresponding box).
(If you do not play any game, please tick he box at the very bottom of the list.)
Please tick one box only

1 Backgammon
2 Checkers (brit. draughts)
3 Chess
4 Go
5 Other board games
6 Card games
7 Dominoes
8 Mah-jongg
9 Jigsaw puzzles
10 Word or number games
11 Video games, computer games
12 Gambling games
13 Country specific games
14 Other games
96 I do not play any game
98 Don't know; CL,IL,SI: Can't choose, don't know
99 No answer


Range of Valid Data Values: 1- 14

Range of Invalid Data Values: 969899

Summary Statistics: Valid 29244 ; Min. 1 ; Max. 14

Variable Format: numeric


V40: Q9a Reasons for sport or games: Physical or mental health

Location:

Width: 1

Question: Q.9 Please indicate how important the following reasons are for you to take part in sports oor games.
(Please tick one box on each line)
Q.9a For physical or mental health

0 Doesn't apply
1 Very important
2 Somewhat important
3 Not very important
4 Not important
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 089

Summary Statistics: Valid 42295 ; Min. 1 ; Max. 4

Variable Format: numeric


V41: Q9b Reasons for sport or games: To meet other people

Location:

Width: 1

Question: Q.9 Please indicate how important the following reasons are for you to take part in sports oor games.

Q.9b Reasons to take part in sports or games: To meet people

0 Doesn't apply
1 Very important
2 Somewhat important
3 Not very important
4 Not important
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 089

Summary Statistics: Valid 41870 ; Min. 1 ; Max. 4

Variable Format: numeric


V42: Q9c Reasons for sport or games: To compete against others

Location:

Width: 1

Question: Q.9 Please indicate how important the following reasons are for you to take part in sports oor games.

Q.9c Reasons to take part in sports or games: To compete against others

0 Doesn't apply
1 Very important
2 Somewhat important
3 Not very important
4 Not important
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 089

Summary Statistics: Valid 40092 ; Min. 1 ; Max. 4

Variable Format: numeric


V43: Q9d Reasons for sport or games: To look good

Location:

Width: 1

Question: Q.9 Please indicate how important the following reasons are for you to take part in sports oor games.

Q.9d Reasons to take part in sports or games: To look good

0 Doesn't apply
1 Very important
2 Somewhat important
3 Not very important
4 Not important
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 089

Summary Statistics: Valid 40587 ; Min. 1 ; Max. 4

Variable Format: numeric


V44: Q10a Most frequent sport watched on TV

Location:

Width: 3

Question: Q.10a What sport do you watch on TV most frequently? (If you do not watch any sport on TV, please tick the box provided below and skip to question 11)
(&lt; Open-ended>)

100 Team sports
101 American football
102 Baseball, softball
103 Basketball
104 Cricket
105 Ice hockey
106 Field hockey
107 Football, soccer
108 Handball
109 Netball
110 Polo, water polo
111 Rugby
112 Volleyball
199 Other team sports
200 Racket sports
201 Badminton
202 Squash
203 Table tennis
204 Tennis
299 Other racket or bat sports
300 Athletics and fitness sports
301 Athletics (eg running, long-/high-jumping), marathon
302 Body training (eg body-building, artist.gymnastics)
303 Fitness (aerobics, exercise machine-training, work-out)
304 Jogging
305 Walking, Nordic-w, trekking, climbing)
399 Other fitness sports
400 Other sports
401 Adrenaline sports (e.g. bungee-jumping, paragliding)
402 Billiards, pool, snooker
403 Biathlon, triathlon
404 Bowling, curling, bocce
405 Boat sports (e.g. sailing, rowing, yachting)
406 Bullfight
407 Cockfighting
408 Cycling, mountain-biking
409 Dancing (e.g. ballroom dancing, ballet)
410 Darts
411 Fencing
412 Fishing, hunting
413 Golf, minigolf
414 Horse riding, horse racing
415 Ice skating
416 Inline skating, skateboarding, roller skating
417 Martial arts (e.g. Boxing, wrestling, Judo)
418 Motor sports (motor racing, go carting)
419 Rodeo
420 Shooting (pistols, rifle, archery)
421 Swimming, diving, snorkeling
422 Surfing, water-skiing
423 Snow-sports (skiing, snowboarding, cross-country)
425 US: Boxing
426 US:Wrestling
499 Other sports
996 I do not watch any sport
998 Don´t know, Can´t choose
999 No answer


Range of Valid Data Values: 100- 499

Range of Invalid Data Values: 996- 999

Summary Statistics: Valid 34770 ; Min. 100 ; Max. 499

Variable Format: numeric


V45: Q10b Second most frequent sport watched on TV

Location:

Width: 3

Question: Q.10b What sport is the second most frequent that you watch on TV?
(&lt; Open-ended>)
Second most frequent sport watched

0 NAP, I do not watch any sport; none, no second sport; NAV
100 Team sports
101 American football
102 Baseball, softball
103 Basketball
104 Cricket
105 Ice hockey
106 Field hockey
107 Football, soccer
108 Handball
109 Netball
110 Polo, water polo
111 Rugby
112 Volleyball
199 Other team sports
200 Racket sports
201 Badminton
202 Squash
203 Table tennis
204 Tennis
299 Other racket or bat sports
300 Athletics and fitness sports
301 Athletics (eg running, long-/high-jumping), marathon
302 Body training (eg body-building, artist.gymnastics)
303 Fitness (aerobics, exercise machine-training, work-out)
304 Jogging
305 Walking, Nordic-w, trekking, climbing)
399 Other fitness sports
400 Other sports
401 Adrenaline sports (e.g. bungee-jumping, paragliding)
402 Billiards, pool, snooker
403 Biathlon, triathlon
404 Bowling, curling, bocce
405 Boat sports (e.g. sailing, rowing, yachting)
406 Bullfight
407 Cockfighting
408 Cycling, mountain-biking
409 Dancing (e.g. ballroom dancing, ballet)
410 Darts
411 Fencing
412 Fishing, hunting
413 Golf, minigolf
414 Horse riding, horse racing
415 Ice skating
416 Inline skating, skateboarding, roller skating
417 Martial arts (e.g. Boxing, wrestling, Judo)
418 Motor sports (motor racing, go carting)
419 Rodeo
420 Shooting (pistols, rifle, archery)
421 Swimming, diving, snorkeling
422 Surfing, water-skiing
423 Snow-sports (skiing, snowboarding, cross-country)
425 US: Boxing
426 US:Wrestling
499 Other sports
996 No further sports mentioned
998 Don't know; CL,SI: Can´t choose
999 No answer


Range of Valid Data Values: 100- 499

Range of Invalid Data Values: 996- 9990

Summary Statistics: Valid 27747 ; Min. 100 ; Max. 499

Variable Format: numeric


V46: Q11 How proud about an international sport competition?

Location:

Width: 1

Question: IV Sociological aspects of sport:
Q.11 How proud are you when &lt; R' s country> does well at an international sports or games competition?
(Please tick one box only)

1 I am very proud
2 I am somewhat proud
3 I am not very proud
4 I am not proud at all
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 89

Summary Statistics: Valid 46729 ; Min. 1 ; Max. 4

Variable Format: numeric


V47: Q12a Opinion: Sport develops children´s character

Location:

Width: 1

Question: Q.12 People have different opinions abor sports. To what extent do you agree or disagree with the following statements?
(Please tick one box on each line)
Q.12a Taking part in sports develops children's character

1 Agree strongly
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Disagree strongly
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 48124 ; Min. 1 ; Max. 5

Variable Format: numeric


V48: Q12b Opinion: Too much sport on TV

Location:

Width: 1

Question: Q.12 People have different opinions abor sports. To what extent do you agree or disagree with the following statements?

Q.12b Opinions about sport: There is too much sport on TV

1 Agree strongly
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Disagree strongly
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 46126 ; Min. 1 ; Max. 5

Variable Format: numeric


V49: Q12c Opinion: Sport brings different groups together

Location:

Width: 1

Question: Q.12 People have different opinions abor sports. To what extent do you agree or disagree with the following statements?

Q.12c Opinions about sport: Sports brings different groups and races &lt; R's country> closer together

1 Agree strongly
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Disagree strongly
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 46744 ; Min. 1 ; Max. 5

Variable Format: numeric


V50: Q12d Opinion: International sport competitions create tension between countries

Location:

Width: 1

Question: Q.12 People have different opinions abor sports. To what extent do you agree or disagree with the following statements?

Q.12d Opinions about sport: International sports competitions create more tension between countries than good feelings

1 Agree strongly
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Disagree strongly
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 45829 ; Min. 1 ; Max. 5

Variable Format: numeric


V51: Q12e Opinion: Government should spend more money on sports

Location:

Width: 1

Question: Q.12 People have different opinions abor sports. To what extent do you agree or disagree with the following statements?

Q.12e This country's &lt; R's country> government should spend more money on sports.

1 Agree strongly
2 Agree
3 Neither agree nor disagree
4 Disagree
5 Disagree strongly
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 46004 ; Min. 1 ; Max. 5

Variable Format: numeric


V52: Q13a Participation: A sports association/group

Location:

Width: 1

Question: V Social and political participation

Q.13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups?
(Please tick one box on each line)
Q.13a A sports association/ group

1 At least once a week
2 At least once a month
3 Several times
4 Once or twice
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 48511 ; Min. 1 ; Max. 5

Variable Format: numeric


V53: Q13b Participation: A cultural association/group

Location:

Width: 1

Question: Q.13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups?

Q.13b Participation in activities of: A cultural association/ group

1 At least once a week
2 At least once a month
3 Several times
4 Once or twice
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 48143 ; Min. 1 ; Max. 5

Variable Format: numeric


V54: Q13c Participation: A church or religious organisation

Location:

Width: 1

Question: Q.13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups?

Q.13c Participation in activities of: A church or other religious organisation

1 At least once a week
2 At least once a month
3 Several times
4 Once or twice
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 48309 ; Min. 1 ; Max. 5

Variable Format: numeric


V55: Q13d Participation: A community-service or civic association/group

Location:

Width: 1

Question: Q.13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups?

Q.13d Participation in activities of: A community-service or civic association/ group

1 At least once a week
2 At least once a month
3 Several times
4 Once or twice
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 48385 ; Min. 1 ; Max. 5

Variable Format: numeric


V56: Q13e Participation: A political party or organisation

Location:

Width: 1

Question: Q.13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups?

Q.13e Participation in activities of: A political party or organisation

1 At least once a week
2 At least once a month
3 Several times
4 Once or twice
5 Never
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 47983 ; Min. 1 ; Max. 5

Variable Format: numeric


V57: Q14a Trust in people or careful in dealing with people

Location:

Width: 1

Question: Q.14a Generally speaking, would you say that people can be trusted or that you can't be too careful in dealing with people?
(Please tick one box only)

1 People can almost always be trusted
2 People can usually be trusted
3 You usually can't be too careful in dealing with people
4 You almost always can't be too careful in dealing with people
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 89

Summary Statistics: Valid 48439 ; Min. 1 ; Max. 4

Variable Format: numeric


V58: Q14b Personal interest in politics

Location:

Width: 1

Question: Q.14b How interested would you say you personally are in politics?
(Please tick one box only)

1 Very interested
2 Fairly interested
3 Not very interested
4 Not at all interested
8 Can't choose
9 No answer

in Slovenia (SI):
0 Not available


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 089

Summary Statistics: Valid 47919 ; Min. 1 ; Max. 4

Variable Format: numeric


V59: Q15a Obstacle: Lack of facilities nearby

Location:

Width: 1

Question: VI Social determinants and consequences of leisure

Q.15 To what extent do you the following conditions prevent from doing the free activities you would like to do?
(Please tick one box on each line)
Q.15a Lack of facilities nearby

1 Very much
2 To a large extent
3 To some extent
4 Not at all
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 89

Summary Statistics: Valid 46011 ; Min. 1 ; Max. 4

Variable Format: numeric


V60: Q15b Obstacle: Lack of money

Location:

Width: 1

Question: Q.15 To what extent do you the following conditions prevent from doing the free activities you would like to do?

Q.15b Conditions prevent from doing: Lack of money

1 Very much
2 To a large extent
3 To some extent
4 Not at all
8 Can´t choose
9 No answer


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 89

Summary Statistics: Valid 47152 ; Min. 1 ; Max. 4

Variable Format: numeric


V61: Q15c Obstacle: Personal health, age or disability

Location:

Width: 1

Question: Q.15 To what extent do you the following conditions prevent from doing the free activities you would like to do?

Q.15c Conditions prevent from doing: Personal health, age or disability

1 Very much
2 To a large extent
3 To some extent
4 Not at all
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 89

Summary Statistics: Valid 47591 ; Min. 1 ; Max. 4

Variable Format: numeric


V62: Q15d Obstacle: Taking care of someone

Location:

Width: 1

Question: Q.15 To what extent do you the following conditions prevent from doing the free activities you would like to do?

Q.15d Conditions prevent from doing: Need to take care of someone (elderly, children, ..)

1 Very much
2 To a large extent
3 To some extent
4 Not at all
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 89

Summary Statistics: Valid 46861 ; Min. 1 ; Max. 4

Variable Format: numeric


V63: Q15e Obstacle: Lack of time

Location:

Width: 1

Question: Q.15 To what extent do you the following conditions prevent from doing the free activities you would like to do?

Q.15e Conditions prevent from doing: Lack of time

1 Very much
2 To a large extent
3 To some extent
4 Not at all
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 89

Summary Statistics: Valid 47317 ; Min. 1 ; Max. 4

Variable Format: numeric


V64: Q16 How happy or unhappy in general, these days

Location:

Width: 1

Question: Q.16 If you were consider your life in general tehse days, how happy or unhappy would you say you are, on the whole ...
(Please tick one box only)

1 Very happy
2 Fairly happy
3 Not very happy
4 Not at all happy
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 89

Summary Statistics: Valid 48568 ; Min. 1 ; Max. 4

Variable Format: numeric


V65: Q17 Status of health in general

Location:

Width: 1

Question: Q.17 In general, would you say your health is ...
(Please tick one box only)

1 Excellent
2 Very good
3 Good
4 Fair
5 Poor
8 Can't choose
9 No answer


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 49347 ; Min. 1 ; Max. 5

Variable Format: numeric


V66: Q18a Yesterday was: Working-day or holiday

Location:

Width: 1

Question: Optional items
Q.18 Now two questions about yesterday.
(Please tick one box only)
Q.18a Just to recall for you, yesterday was ...

0 Not available: AR, AU, AT, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY
1 A weekday or working-day
2 A day off or a holiday
8 SK: Don´t know
9 No answer


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 09

Summary Statistics: Valid 13477 ; Min. 1 ; Max. 8

Variable Format: numeric


V67: Q18b Time of getting up yesterday

Location:

Width: 4

Question: Q.18 Now two questions about yesterday.
(Please enter using the 24-hour format)
Q.18b At about what time did you get up yesterday?

0 0:00 o' clock
2359 23:59 o' clock
9990 Not available; not asked: AR, AU, AT, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY
9999 No answer, don't know


Range of Valid Data Values: 0- 2300

Range of Invalid Data Values: 99909999

Summary Statistics: Valid 11547 ; Min. 0 ; Max. 2300

Variable Format: numeric


V68: Q18c Time go to sleep yesterday

Location:

Width: 4

Question: Q.18 Now two questions about yesterday.
(Please enter using the 24-hour format)
Q.18c At about what time did you go to sleep yesterday?

0 0:00 o' clock
2359 23:59 o' clock
9990 Not available; not asked: AR, AU, AT, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY
9999 No answer, don't know


Range of Valid Data Values: 0- 2359

Range of Invalid Data Values: 99909999

Summary Statistics: Valid 11540 ; Min. 0 ; Max. 2359

Variable Format: numeric


V69: Q19a Height of Respondent: cm

Location:

Width: 3

Question: Q.19a Could you please tell me your height
(&lt; Countries not using metric height and weight: Please use local units and convert to metric units in the data file you deposit to the Archive>)

0 Not available: AR, AU, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY
60 60 cm
206 206 cm
998 Don't know
999 No answer

in Israel (IL):
999 Don't know, no answer

in South Korea (KR):
999 Don't know, no answer

in Switzerland (CH):
999 Don't know, no answer

in Uruguay (UY):
999 Don't know, no answer


Range of Valid Data Values: 60- 206

Range of Invalid Data Values: 0998999

Summary Statistics: Valid 23906 ; Min. 120 ; Max. 206

Variable Format: numeric


V70: Q19b Weight of Respondent: kg

Location:

Width: 3

Question: Q.19b Could you please tell me your weight
(&lt; Countries not using metric height and weight: Please use local units and convert to metric units in the data file you deposit to the Archive>)

0 Not available, not asked: AR, AU, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY
32 32 Kg
200 200 Kg
998 Don't know
999 No answer


in Israel (IL):
999 Don't know, no answer

in South Korea (KR):
999 Don't know, no answer

in Switzerland (CH):
999 Don't know, no answer

in Uruguay (UY):
999 Don't know, no answer


Range of Valid Data Values: 32- 200

Range of Invalid Data Values: 0998999

Summary Statistics: Valid 24234 ; Min. 32 ; Max. 200

Variable Format: numeric


V71: Q20 Would you like to gain or lose weight?

Location:

Width: 1

Question: Q.20 Would you like to ...
(Please tick one box only)

0 Not available, not asked: AR, AU, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY
1 Gain weight
2 Maintain your current weight
3 Lose weight
8 I don´t care about my weight
9 No answer


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 09

Summary Statistics: Valid 24067 ; Min. 1 ; Max. 8

Variable Format: numeric


V72: Q21a Pictures of the ideal shape of a man

Location:

Width: 1

Question: Q.21 Which of the following pictures come closest to your conception of an ideal shape of a man and a woman?
(Please tick the box below the picture of your choice of the ideal man)
Q.21a Man

0 Not available: AR, AU, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY
1 Picture 1 (very corpulent)
2 Picture 2 (corpulent)
3 Picture 3 (slender)
4 Picture 4 (very slender)
8 SK: Don't know
9 No answer


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 09

Summary Statistics: Valid 19861 ; Min. 1 ; Max. 8

Variable Format: numeric


V73: Q21b Pictures of the ideal shape of a woman

Location:

Width: 1

Question: Q.21 Which of the following pictures come closest to your conception of an ideal shape of a man and a woman?
(Please tick the box below the picture of your choice of the ideal man)
Q.21b Woman

0 Not available: AR, AU, FLA, CL, TW, HR, CY, CZ, DO, FR, DE, HU, IL, JP, LV, NO, PL, SI, ZA, SE, GB, US, UY
1 Picture 1 (very corpulent)
2 Picture 2 (corpulent)
3 Picture 3 (slender)
4 Picture 4 (very slender)
8 SK: Don't know
9 No answer


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 09

Summary Statistics: Valid 19920 ; Min. 1 ; Max. 8

Variable Format: numeric


SEX: R: Sex

Location:

Width: 1

Question: Sex of Respondent

AR: Mark sex of the interviewee.
AU: Are you male or female?
CL: This is a question filled directly by the interviewer, i.e., not asked to respondents.
CH CZ DO FI GB HU LV US ZA: Interviewer observation instead of asking question to respondents.
DE: Face-to-face interview (ALLBUS); coded by interviewer.
FR: Are you a man or a woman?
MX: Sex of interviewee. To write without asking.
NO: Item non-response replaced by data from the Central Register of Persons.
PL: Question completed by interviewer, not asked.
SE: Question not asked, derived from National Register.



1 Male
2 Female
9 No answer, refused


Range of Valid Data Values: 1- 2

Range of Invalid Data Values: 9

Summary Statistics: Valid 49693 ; Min. 1 ; Max. 2

Variable Format: numeric


AGE: R: Age

Location:

Width: 2

Question: Age of Respondent

AR: First, a question was asked about the last birthday person, among those between 25 and 65 years old, while others were asked about the last birthday person among those 18-24 or 66+. In each 'sample point' 6 persons were interviewed, five 25-65 years old, and one 18-24 or 66 or more years old. After this question 1, question 1a followed: Do you remember how old is this person? 1b. And the date of that birthday?
AU CZ HR HU PL SI TW US: What year were you born? Age is constructed from date of birth.
IL LV PH: Please write down your exact actual age.
CL FR UY: How old are you?
DE: Please tell me what month and year you were born; in order to calculate age, the month of interview was used (as reported by interviewer).
DO: How many years you fulfilled yourself in your last birthday?
FI: Age is calculated by year of birth.
GB IE: What was your age last birthday?
KR: How old is the (person) of the household list?
MX: How old are you? Completed years.
NO: When were you born? Write in the year of birth. The item non-response was replaced by data from the Central Register of Persons.
NZ JP: Please indicate the year in which you were born.
SE: The sample is taken from national register including only those between 17 to 79 years of age (upper age cut).
ZA: Age derived from contact sheet.



15 15 years
98 98 years
99 No answer, refused


Range of Valid Data Values: 15- 98

Range of Invalid Data Values: 99

Summary Statistics: Valid 49586 ; Min. 15 ; Max. 98

Variable Format: numeric


MARITAL: R: Marital status

Location:

Width: 1

Question: Marital status

AR: About your marital status, are you..?
AU TW ZA: What is your current marital status?
FI US: Are you currently--married, widowed, divorced, separated, or have you never been married?
CZ DE HU LV PL SI: What is your marital status?
CH: Now, let's talk about your family. Do you have a spouse/ partner? Do you currently live with your husband (wife)/your partner?
Here is a card with possible family situations. Can you please tell me which letter corresponds best to your actual situation?
HR IE JP NO UY: What is your current legal marital status?
KR: Is [PERSON] now married, widowed, divorced, separated, cohabiting, or never married?
MX: Marital status (legal).
NZ: Which of these categories best describes your current marital status?
SE: Are you married, living together, or single?



1 Married
2 Widowed
3 Divorced
4 Separated (married but sep./not living w legal spouse)
5 Never married
6 AR: Living as a couple
9 No answer, refused

in Chile (CL):
3 Divorced and annulled

in Great Britain (GB):
1 Married and civil partnership

in Hungary (HU):
0 Not available

in Sweden (SE):
1 Married and living together as married

in Switzerland (CH):
6 Registered partnership (PACS)

Note:
CL: Up to 2004 there was no law regulating divorce in Chile. The legal way to end up a marriage was thru a process of annulment (that’s the reason for code 3 'Annulled' AND 'Divorced' in this question).


Range of Valid Data Values: 0- 6

Range of Invalid Data Values: 9

Summary Statistics: Valid 48493 ; Min. 0 ; Max. 6

Variable Format: numeric


COHAB: R: Steady life-partner

Location:

Width: 1

Question: Steady life-partner

AR MX: At present, are you living as a couple?
AT: Do you live together with a constant male or female partner?
AU CL NZ SI ZA: Do you now live together with a partner?
CH LV: (If not married (widowed, divorced, separated, single)) Do you live together with a partner?
CZ: (If not married) Do you live together with a steady partner?
DE: (If not married) Do you have a steady partner? (A steady partner also means a partner one does not live with.)
FI: Are you at the moment cohabiting with a spouse or steady partner?
FR: (If your are not married) Do you live maritally today?
HR: Do you live together (in the same household) with partner? Ask only respondents who do not live together with married (legal) partner (code 2-9 in preceding question)
IE NO UY: (If not married) Are you currently living with a partner?
IL: Do you live with a permanent partner without marriage?
JP: Are you currently living with any person of the opposite gender?
KR: Is [PERSON] now married, widowed, divorced, separated, cohabiting, or never married?
PH: Do you have a live-in partner at present or not?
SE: See MARITAL for further information.
US: Which of these applies to you? Two questions were used to create COHAB.



0 NAP (married and living with legal spouse, Code 1 in MARITAL)
1 Yes
2 No
9 No answer, refused

in Hungary (HU):
0 Not available


Range of Valid Data Values: 1- 2

Range of Invalid Data Values: 09

Summary Statistics: Valid 22058 ; Min. 1 ; Max. 2

Variable Format: numeric


EDUCYRS: R: Education I: years of schooling

Location:

Width: 2

Question: Education I - Years of schooling

AU: All up, how many years of education have you completed? (Please include all Primary and Secondary School, and studies you have undertaken after High School, if your study was part-time, give the number of years of equivalent full-time study).
What is the highest level of High School education you have completed?
CH: How many years of schooling (including training and further education; only if full-time) did you achieve since the first primary year and without counting possible years of apprenticeship? (Category 'Still at College, University' is constructed from another variable)
CL: Without taking into account grade repetitions, how many approved years of study do you have?
CZ: Years of (full-time) schooling including University, but not vocational training. Can you please count how many in total you have attended school? Include also years of Primary School. Include only completed schools, do not include external study or evening schools.
DO: How many years in school have you spent until this day?
Are you in school or engaged in some sort of studies? How many years do you have in University?
FI: How many years have you gone to school or studied altogether (including possible University studies, but excluding work placement)?
FR: Derived from 'How old were you when you finished your studies?' by subtracting 6 years.
GB: Derived from 'How old were you when you completed your continuous full-time education?' by subtracting 5 years (school starting age).
HR: How many years did your regular schooling last?
IE: How many years of full-time education did you receive?
If respondent did not return to full-time education as an adult calculate as (age when left fulltime education minus 5).
JP: How many years of education did you receive from the time you entered elementary school to the time you graduated or left your final place of education excluding higher vocational schools? Please indicate the last school you attended or the school you are currently attending.
LV: In total, how many years have you attended school (school, vocational school, University, but not including improvement of professional skills or vocational courses)?
KR: Derived from: 'What is the highest level of school you have attended?', 'In what grade did you drop out?', 'What grade are you?'.
NO: How many years of education have you completed, other than compulsory school? 'Compulsory school' means the 9-year primary and lower secondary compulsory school, or the 7-year primary compulsory school.
NZ: The values for this variable were calculated from the variable asking for the amount of formal education. The responses almost certainly include some vocational training, and do not distinguish between those who are still at University/ Polytechnic and those who are not. The exact number of years was not asked, but estimated.
PH: How many years have you attended formal schooling, not including vocational training?
PL: Derived from PL_DEGR: 'What is the level of education that you have obtained until now?' and 'Are you currently in school or studying?'
RU: How many years altogether did you study, vocational training included?
SE: How many years have you attended school, all full-time education included?
SI: How many years in regular formal schooling?
TW: Derived from: 'Your education level is?' 'Was your school completed?'
US: What is the highest grade in elementary school or high school that you finished and got credit for? Did you ever get a high school diploma? Did you ever complete one or more years of college? How many years did you complete? Do you have any college degree? What degree?
UY: How many years of education have you completed? Please do not count years in which you had repeated courses.
ZA: Not explicitely asked. Derived from 'What is the highest level of education you have ever completed?'



95 Still at school
96 Still at college, university
97 No formal schooling
98 Don't know
99 No answer, refused

in Hungary (HU):
0 Not available


Range of Valid Data Values: 1- 97

Range of Invalid Data Values: 09899

Summary Statistics: Valid 47660 ; Min. 1 ; Max. 97

Variable Format: numeric


DEGREE: R: Education II-highest education level

Location:

Width: 1

Question: Education II: Categories

AU: What is the level of High School education you have completed? What is the highest level you have completed since leaving school?
CH: What is your highest education completed?
CL: Without taking into account grade repetitions, what is your educational level?
CZ: What is your highest achieved level of education?
DE: What general school leaving certificate do you have? Please request highest school certificate. What vocational or professional training do you have? Question on vocational training only asked if respondent not still at school.
DO: Can you tell me, which was the last level of studies you accomplished?
FI: What is your education, and if you are married or cohabiting, the education of your spouse?
FR: Which level of general education have you achieved?
GB: Have you passed any of the examinations on this card?
And have you passed any of the exams or got any qualifications on this (other) card? Highest educational qualification.
HR: Your highest educational level (school completed regularly or part-time)!
HU IL: What is your highest qualification?
IE: What is the highest level of education that you attained?
JP: Please indicate the last school you attended or the school you are currently attending.
KR: What is the highest level of school you have attended?
NO: Which general education have you achieved? Which vocational education/ training have you achieved? Which tertiary education have you achieved?
NZ: Which one of these categories best describes your highest level of education/formal qualification?
PH: What is your highest educational attainment?
PL: What is the level of education that you have obtained until now?
RU: What education do you have?
SE: What is your highest level of education until now?
SI: Name last school you have finished, regularly or unregularly.
TW: Derived from: 'Your educational level is?' and 'Was your school work completed?'
US: What is the highest grade in elementary school or high school that you finished and got credit for? Did you ever get a high school diploma? Did you ever complete one or more years of college? How many years did you complete? Do you have any college degree? what degree?
UY: What is the highest level of education you have achieved? Don't count years in which you had to repeat courses.
ZA: What is highest level of education you have ever completed?



0 No formal qualification
1 Lowest formal qualification
2 Above lowest qualification
3 Higher secondary completed
4 Above higher secondary level
5 University degree completed
8 CH: Don´t know
9 No answer

in Latvia (LV):
9 Not available


Range of Valid Data Values: 0- 5

Range of Invalid Data Values: 89

Summary Statistics: Valid 49199 ; Min. 0 ; Max. 5

Variable Format: numeric


AR_DEGR: Country specific education: Argentina

Location:

Width: 2

Question: AR_DEGR - Argentina: Country specific education

What was the highest schooling level you had the possibility to reach?


0 NAP, other countries
1 None
2 Incomplete primary
3 Primary completed
4 Incomplete secondary
5 Secondary completed
6 University incomplete
7 University completed
8 Incomplete non-university higher
9 Completed non-university higher


Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 0

Summary Statistics: Valid 1657 ; Min. 1 ; Max. 9

Variable Format: numeric


AT_DEGR: Country specific education: Austria

Location:

Width: 2

Question: AT_DEGR - Austria: Country specific education

Which is the highest educational level you have finished?


0 NAP, other countries
1 Compulsory School completed without vocational training
2 Compulsory school and vocational training, apprenticeship completed
3 Vocational secondary school (e.g. commercial school)
4 General higher school, Matura
5 Vocational higher school (e.g. commercial higher school, technical higher school)
6 University, Academy (including college of higher education)


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 0

Summary Statistics: Valid 1020 ; Min. 1 ; Max. 6

Variable Format: numeric


AU_DEGR: Country specific education: Australia

Location:

Width: 2

Question: AU_DEGR - Australia: Country specific education

What is the highest level of high school education you have completed?
What is the highest level of education you have completed since leaving high school?



0 NAP, other countries
1 Did not complete High School to Year 10
2 Completed High School to Year 10
3 Completed High School to Year 12
4 Trade qualification or apprenticeship
5 Certificate or Diploma (TAFE or business college)
6 Bachelor Degree (including Honors)
7 Postgraduate Degree or Postgraduate Diploma
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 7

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2701 ; Min. 1 ; Max. 7

Variable Format: numeric


BG_DEGR: Country specific education: Bulgaria

Location:

Width: 2

Question: BG_DEGR - Bulgaria: Country specific education

Highest education level


0 NAP, other countries
1 None
2 Primary and basic education
3 Lower secondary
4 Upper secondary
5 Secondary technical
6 College, 2-4 years
7 Higher education
8 University and higher
9 Don't know


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 09

Summary Statistics: Valid 999 ; Min. 1 ; Max. 8

Variable Format: numeric


CH_DEGR: Country specific education: Switzerland

Location:

Width: 2

Question: CH_DEGR - Switzerland: Country specific education

Which is the higher education level you finished?



0 NAP, other countries
1 Unfinished obligatory School
2 Primary School
3 Secondary School
4 Basic Vocational Education (1-2 years)
5 Apprenticeship. Voc. Colleges and Businesses
6 Specialised Middle Schools
7 Matura Schools
8 Vocational Training (second Training)
9 Professional Baccalaureate Schools/Adult Matura Schools
10 Higher Vocational Education and Training
11 Universities of Applied Sciences/Teacher Education
12 Universities, Federal Institutes of Technology
13 PhD Doctorate
95 Other education
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 996 ; Min. 1 ; Max. 13

Variable Format: numeric


CL_DEGR: Country specific education: Chile

Location:

Width: 2

Question: CL_DEGR - Republic of Chile: Country specific education

Without taking into account grade repetitions, what is your educational level?



0 NAP, other countries
1 None
2 Incomplete primary
3 Primary completed
4 Incomplete secondary
5 Secondary completed
6 University incomplete
7 University completed
8 Incomplete non-university higher
9 Completed non-university higher
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1486 ; Min. 1 ; Max. 9

Variable Format: numeric


CY_DEGR: Country specific education: Cyprus

Location:

Width: 2

Question: CY_DEGR - Cyprus: Country specific education

What is the highest level of education you completed?


0 NAP, other countries
1 No education
2 A few years of elementary school
3 Elementary School
4 Gymnasium and some years of lyceum
5 Lyceum
6 Professional higher education/higher in non-accredited degree
7 Higher education (college in accredited degree and university)


Range of Valid Data Values: 1- 7

Range of Invalid Data Values: 0

Summary Statistics: Valid 1000 ; Min. 1 ; Max. 7

Variable Format: numeric


CZ_DEGR: Country specific education: Czech Republic

Location:

Width: 2

Question: CZ_DEGR - Czech Republic: Country specific education

What is your highest achieved level of education?



0 NAP, other countries
1 Incomplete primary
2 Primary completed
3 Lower vocational
4 General secondary, no diploma
5 Vocational, diploma
6 Technical secondary
7 Academic secondary
8 Post secondary
9 Tertiary, bachelor degree
10 Tertiary, master degree
11 Post-graduate education
97 Refused
98 Don't know
99 No answer

Note:
&lt; Code 3-5: Diploma after school-leaving exam, required for university Education system in the Czech Republic http://www.uiv.cz/clanek/29/148 (link valid on July 1, 2009, source: www.uiv.cz)>


Range of Valid Data Values: 1- 11

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1211 ; Min. 1 ; Max. 11

Variable Format: numeric


DE_DEGR: Country specific education: Germany

Location:

Width: 2

Question: DE_DEGR - Germany: Country specific education

What general school leaving certificate do you have?
What vocational or professional training do you have? Which of the categories on the card apply to you?


0 NAP, other countries
1 Still at school
2 School left without certificate
3 Lower secondary, Hauptschule
4 Middle school, mittlere Reife
5 Secondary, technical
6 Higher secondary, Abitur
7 Special university, Fachhochschule
8 University
9 Other qualification
99 No answer

Note:
&lt; DE: Question on vocational training only asked if respondent not still at school; 'General school leaving certificate' and 'vocational training' taken from ALLBUS 2008>


Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 099

Summary Statistics: Valid 1713 ; Min. 1 ; Max. 9

Variable Format: numeric


DO_DEGR: Country specific education: Dominican Republic

Location:

Width: 2

Question: DO_DEGR - Dominican Republic: Country specific education

Can you tell me, which was the last level of studies you accomplished?



0 NAP, other countries
1 No Formal Schooling
2 Incomplete Primary School
3 Primary school completed
4 Incomplete High School
5 High School Completed
6 Technical training incomplete
7 Technical training completed
8 University Incomplete
9 University Completed
10 Master, Doctorate degree incomplete
11 Master, Doctorate degree completed
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 11

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2164 ; Min. 1 ; Max. 11

Variable Format: numeric


FI_DEGR: Country specific education: Finland

Location:

Width: 2

Question: FI_DEGR - Finland: Country specific education

What is your education, and if you are married or cohabiting, the education of your spouse?
Please circle only one number in each column.



0 NAP, other countries
1 Still at school (primary or secondary, vocational school/course/institute)
2 Primary school
3 Comprehensive, primary and lower secondary
4 Post-comprehensive, vocational school or course
5 Post-comprehensive, general upper secondary education or certificate
6 Post-comprehensive, vocational post-secondary non-tertiary education
7 Polytechnics
8 University, lower academic degree (BA)
9 University, higher academic degree (MA)
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1319 ; Min. 1 ; Max. 9

Variable Format: numeric


FLA_DEGR: Country specific education: Flanders

Location:

Width: 2

Question: FLA_DEGR - Flanders: Country specific education

At this moment you are still in school. What kind of education do you follow? You can use card 7 to answer. Card 9 shows a number of diplomas and attestations. You can read through the card. What is the highest degree you ompleted?




0 NAP, other countries
1 None
2 Primary education
3 Lower general secondary
4 Lower technical secondary
5 Lower secondary vocational
6 Lower special secondary
7 Higher general secondary
8 Higher technical secondary
9 Higher vocational secondary
10 Higher special secondary
11 Non-university, higher, short
12 Non-university, higher, long
13 University
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 13

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1257 ; Min. 1 ; Max. 13

Variable Format: numeric


FR_DEGR: Country specific education: France

Location:

Width: 2

Question: FR_DEGR - France: Country specific education

What is your education level?



0 NAP, other countries
1 None
2 Primary incomplete
3 Primary completed
4 General secondary, level 1
5 Vocational secondary, level 1
6 Vocational secondary, level 2
7 Incomplete general secondary. level 2
8 General secondary, level 2
9 College
10 University
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 10

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2046 ; Min. 1 ; Max. 10

Variable Format: numeric


GB_DEGR: Country specific education: Britain

Location:

Width: 2

Question: GB_DEGR - Great Britain: Country specific education

Respondent’s highest educational qualification derived from:

Have you passed any of the examinations on this card? (If yes) Please tell me which sections of the card they are in.
And have you passed any of the exams or got any of the qualifications on this card?


0 NAP, other countries
1 No secondary qualifications
2 CSE, GCSE or equivalent
3 O-level or equivalent
4 A-level or equivalent
5 Higher below degree level
6 Degree, university or CNAA or diploma
7 Foreign or other
99 No answer


Range of Valid Data Values: 1- 7

Range of Invalid Data Values: 099

Summary Statistics: Valid 825 ; Min. 1 ; Max. 7

Variable Format: numeric


HR_DEGR: Country specific education: Croatia

Location:

Width: 2

Question: HR_DEGR - Croatia: Country specific education

Your highest educational level (school completed regulary or part time).



0 NAP, other countries
1 Did not complete elementary school
2 Elementary school, completed.
3 Completed three years vocational school (school for industrial and craft qualifications)
4 Completed 4 years vocational school (vocational qualifications in economy, medicine and technical professions; school of Art)
5 Completed General secondary school (Gymnasium)
6 Post secondary degree, completed; professional studies, college
7 University degree, completed; university studies
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 7

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1199 ; Min. 1 ; Max. 7

Variable Format: numeric


HU_DEGR: Country specific education: Hungary

Location:

Width: 2

Question: HU_DEGR - Hungary: Country specific education

What is your highest qualification?


0 NAP, other countries
1 Less than primary
2 8 years elementary
3 Vocational
4 Vocational with maturity
5 Gymnasium with maturity
6 Secondary technical after maturity
7 Higher technical after maturity
8 College
9 University
99 No answer


Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 099

Summary Statistics: Valid 1025 ; Min. 1 ; Max. 9

Variable Format: numeric


IE_DEGR: Country specific education: Ireland

Location:

Width: 2

Question: IE_DEGR - Ireland: Country specific education

What is the highest level of education that you attained?


0 NAP, other countries
1 None
2 Incomplete primary education
3 Primary completed, compulsory
4 Some second level
5 Completed first cycle
6 Secondary completed
7 Incomplete third level
8 Certificate or Diploma
9 University first degree
10 University higher degree
99 No answer


Range of Valid Data Values: 1- 10

Range of Invalid Data Values: 099

Summary Statistics: Valid 2040 ; Min. 1 ; Max. 10

Variable Format: numeric


IL_DEGR: Country specific education: Israel

Location:

Width: 2

Question: IL_DEGR - Israel: Country specific education

Highest education level



0 NAP, other countries
1 No formal schooling
2 Lowest formal qualification
3 Incomplete vocational
4 Vocational completed without matriculation
5 Vocational completed with matriculation
6 Incomplete academic secondary
7 Full general without matriculation
8 Academic secondary completed
9 Yeshiva without matriculation
10 Yeshiva with matriculation
11 Semi higher, post secondary
12 Incomplete university
13 University completed, BA or more
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 13

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1324 ; Min. 1 ; Max. 13

Variable Format: numeric


JP_DEGR: Country specific education: Japan

Location:

Width: 2

Question: JP_DEGR - Japan: Country specific education

Please indicate the last school you attended or the school you are currently attending.



0 NAP, other countries
1 Junior High school completed
2 High school completed
3 Junior college completed
4 Finished university
5 Still at High school
6 Still at Junior college
7 Others
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 7

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1233 ; Min. 1 ; Max. 7

Variable Format: numeric


KR_DEGR: Country specific education: South Korea

Location:

Width: 2

Question: KR_DEGR - South Korea: Country specific education

What is the highest level of school you have attended?
Did you graduate from this school, or are you currently attending?



0 NAP, other countries
1 No formal schooling; Seodang, Hanhak: old style non-formal education
2 Elementary incompleted
3 Elementary completed
4 Middle school, junior high school incomplete
5 Middle school, junior high school completed
6 High school incomplete
7 High school completed
8 Junior college incomplete, 2-3 years
9 Junior college completed, 2-3 years
10 University incomplete, 4 years course
11 University completed, 4 years course
12 Masters degree incomplete, Graduate school
13 Masters degree completed
14 Doctoral degree incomplete
15 Doctoral degree completed
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 15

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1429 ; Min. 1 ; Max. 15

Variable Format: numeric


LV_DEGR: Country specific education: Latvia

Location:

Width: 2

Question: LV_DEGR - Latvia: Country specific education

Your education:



0 NAP, other countries
1 Incomplete basic education, less than 8 forms
2 Basic education completed
3 Incomplete secondary, professional education not including secondary
4 Secondary completed
5 Vocational with secondary qualification
6 Incomplete university, incomplete higher education (at least 2 completed years)
7 University completed, Higher education, bachelor, master or doctor degree
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 7

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1069 ; Min. 1 ; Max. 7

Variable Format: numeric


MX_DEGR: Country specific education: Mexico

Location:

Width: 2

Question: MX_DEGR - Mexico: Country specific education

Higher school level obtained (finished level).



0 NAP, other countries
1 None, still at school
2 Primary school completed
3 Technical training without secondary qualification
4 Secondary school completed
5 Technical training after secondary qualification
6 High school completed
7 Technical training after high school qualification
8 University completed
9 Master, doctorate degree
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1500 ; Min. 1 ; Max. 9

Variable Format: numeric


NO_DEGR: Country specific education: Norway

Location:

Width: 2

Question: NO_DEGR - Norway: Country specific education

Which general education have you achieved?
Which vocational education/ training have you achieved?
Which tertiary education have you achieved?



0 NAP, other countries
1 Primary completed
2 Secondary, vocational, incomplete
3 Secondary, academic, incomplete
4 Secondary, vocational, complete
5 Secondary, academic, complete
6 University, college less than 1 year
7 University, college 1-2 years
8 University, college 3-4 years
9 University, college 5 years and more
97 Refused
98 Don't know
99 No answer

Note:
The Norwegian word for 'vocational training' might be interpreted in a broader sense, like education or training preparing for a particular occupation in general, for example nurses

Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1134 ; Min. 1 ; Max. 9

Variable Format: numeric


NZ_DEGR: Country specific education: New Zealand

Location:

Width: 2

Question: NZ_DEGR - New Zealand: Country specific education

Which of these categories best describes your highest formal qualification?



0 NAP, other countries
1 No formal qualification
2 School qualification only
3 Trade or professional certificate
4 Diploma below Bachelor
5 Bachelor degree
99 No answer


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 974 ; Min. 1 ; Max. 5

Variable Format: numeric


PH_DEGR: Country specific education: Philippines

Location:

Width: 2

Question: PH_DEGR - Philippines: Country specific education

What is your highest educational attainment?



0 NAP, other countries
1 No formal education
2 Incomplete primary
3 Primary completed
4 Incomplete secondary
5 Secondary completed
6 Some Vocational
7 Completed Vocational
8 Some College
9 Completed College
10 Post college
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 10

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1200 ; Min. 1 ; Max. 10

Variable Format: numeric


PL_DEGR: Country specific education: Poland

Location:

Width: 2

Question: PL_DEGR - Poland: Country specific education

What is the level of education that you have obtained until now?



0 NAP, other countries
1 No formal schooling
2 Incomplete elementary
3 Elementary
4 Basic vocational
5 Incomplete secondary
6 Secondary general
7 Secondary vocational
8 Post secondary
9 Incomplete higher
10 Completed higher at master level, semi-higher
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 10

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1293 ; Min. 1 ; Max. 10

Variable Format: numeric


RU_DEGR: Country specific education: Russia

Location:

Width: 2

Question: RU_DEGR - Russia: Country specific education



0 NAP, other countries
1 Primary or less
2 Middle school incomplete
3 Trade school on a basis of middle school incomplete
4 Middle school complete
5 Trade school on a basis of middle school complete
6 Technical (secondary) school
7 High school incomplete
8 High school complete
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2005 ; Min. 1 ; Max. 8

Variable Format: numeric


SE_DEGR: Country specific education: Sweden

Location:

Width: 2

Question: SE_DEGR - Sweden: Country specific education

What is your highest level of education at present? Please indicate one alternative only.



0 NAP, other countries
1 Primary or comprehensive school
2 Vocational school (1972-92)
3 Vocational school (post 1992)
4 Vocational school (pre 1972)
5 Alternative secondary school
6 Lower secondary school
7 3 or 4 year gymnasium (academic track pre 1995)
8 Social- or natural-science program in Gymnasium (academic track post 1992)
9 Higher secondary school
10 University studies without degree
11 University degree
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 11

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1274 ; Min. 1 ; Max. 11

Variable Format: numeric


SI_DEGR: Country specific education: Slovenia

Location:

Width: 2

Question: SI_DEGR - Slovenia: Country specific education

Name last school that you have finished, regularly or unregularly.



0 NAP, other countries
1 Incomplete primary
2 Primary completed
3 Incomplete vocational or secondary school
4 Finished 2-3 years vocational school
5 Finished 4 years secondary school
6 Incomplete university or college
7 Finished 2 years college
8 University completed or academy
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 988 ; Min. 1 ; Max. 8

Variable Format: numeric


SK_DEGR: Country specific education: Slovak Republic

Location:

Width: 2

Question: SK_DEGR - Slovak Republic: Country specific education

What is your highest achieved education level?


0 NAP, other countries
1 Incomplete elementary school
2 Completed elementary school
3 Completed elementary school with vocational training or courses (without the certificate of apprenticeship)
4 Vocational training with the certificate of apprenticeship (without maturity level certificate)
5 Vocational school or trade school (without maturity level certificate)
6 Completed apprenticeship training institution with the maturity certificate
7 Completed vocational upper secondary education (i.e. technical schools, medical/nursery school)
8 Completed general upper secondary education (Grammar school)
9 Follow-up, post-maturity education
10 University, College education - Bachelor degree
11 University, College - completed Master or engineering study programme (or its equivalent)
12 Postgraduate (third) level of higher education study (CSc., PhD., Doc., etc.)
99 No answer

Note:
'Achieved' means to have a certificate/ degree

Range of Valid Data Values: 1- 12

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1137 ; Min. 1 ; Max. 12

Variable Format: numeric


TW_DEGR: Country specific education: Taiwan

Location:

Width: 2

Question: TW_DEGR - Taiwan: Country specific education

What is your highest education level?



0 NAP, other countries
1 None
2 Self-study
3 Elementary school
4 Junior high school
5 Vocational junior high school
6 Senior high school general
7 Senior high school vocational subject
8 Vocational senior high school
9 Cadet school, senior high level
10 5 years junior college, after junior high
11 2 years junior college after vocational
12 3 years junior college, after high general
13 Military, police junior college, 1 year
14 Military, police college, 2 years
15 Open junior college
16 Open college
17 Military, police college
18 Institute of technology (after vocational high school)
19 College graduate, university
20 Master degree, Graduate school
21 Doctorate degree, PhD degree, Graduate schol
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 21

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2147 ; Min. 1 ; Max. 21

Variable Format: numeric


US_DEGR: Country specific education: USA

Location:

Width: 2

Question: US_DEGR - United States: Country specific education

What is the highest grade in Elementary School or High School that you finished and got credit for?
Did you ever get a High School Diploma or a GED Certificate?
Did you ever complete one or more years of College for credit - not including schooling such as Business College, Technical or Vocational School?
How many years did you complete?
Do you have any College Degrees?
What Degree or Degrees?


0 NAP, other countries
1 Less than High school
2 High school
3 Junior college
4 Bachelor degree
5 Graduate school
98 Don't know


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1535 ; Min. 1 ; Max. 5

Variable Format: numeric


UY_DEGR: Country specific education: Uruguay

Location:

Width: 2

Question: UY_DEGR - Uruguay: Country specific education

What is the highest level of education you have achieved? Do not count years in which you had to repeat courses.



0 NAP, other countries
1 None
2 Incomplete primary school
3 Completed primary school
4 Incomplete secondary
5 Completed secondary
6 Incomplete technical education
7 Completed technical education
8 Incomplete university
9 Completed university
10 Incomplete non university high education
11 Completed non university high education
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 11

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1437 ; Min. 1 ; Max. 11

Variable Format: numeric


ZA_DEGR: Country specific education: South Africa

Location:

Width: 2

Question: ZA_DEGR - South Africa: Country specific education

What is the highest level of education you have ever completed?



0 NAP, other countries
1 No schooling, Grade 0 or Grade R
2 Sub A or Grade 1
3 Sub B or Grade 2
4 Grade 3 or Standard 1
5 Grade 4 or Standard 2
6 Grade 5 or Standard 3
7 Grade 6 or Standard 4
8 Grade 7 or Standard 5
9 Grade 8 or Standard 6 or Form 1
10 Grade 9 or Standard 7 or Form 2
11 Grade 10 or Standard 8 or Form 3
12 Grade 11 or Standard 9 or Form 4
13 Grade 12 or Standard 10 or Form 5 or Matricualtion
17 Diploma or certificate with less than Grade 12 or Standard 10
18 Diploma or certificate with Grade 12 or Standard 10
19 Degree
20 Postgraduate degree or diploma
21 Other
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 21

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2896 ; Min. 1 ; Max. 21

Variable Format: numeric


WRKST: R: Current employment status

Location:

Width: 2

Question: Respondent: Current employment status - current economic position, main source of living
AR: Last week you were ...?
AT: Are you presently ...?
AU: Information from the two questions 'In your main job for which you are paid, do you normally work...?' 'Which of the following best describes what you were doing last week?'
CH: Are you currently working full time or part time or are you not working for pay? For what reason aren't you working actually?
CL: Please choose one of the following alternatives, depending whether you are working or not working.
CY: Current employment status.
CZ: What is your current economic status, your main source of living?
DO: Of the following situations which one adjusts more to you present labor situation?
FI: Which of the following alternatives best describes your current situation, and if you are married or cohabiting, the current situation of your spouse?
FR: What is your current occupation or your current economic position?
GB: Construction of: Which of these descriptions applied to what you are doing last week, that is seven days ending last Sunday? In your present job, are you working full-time or part time?
In the 7 days ending last Sunday did you have any paid work of less than 10 hours a week?
IE NZ: Which of the following best describes your present situation with regard to employment?
KR: Information derived and integrated from various questions.
NO: Are you/ have you ever been in paid work? If yes, in your main job you are/were:? Do you regard yourself mainly as:?
PL: What is your current job situation? (Multiple choice question - respondent can work, and at the same time be retired).
SE: Which of the following groups do you belong to?
SK: Have you currently got an income from any working activity?
TW: Are you currently employed?
US: Last week were you working full time, part time, going to school, keeping house, or what?
UY: Choose one of the following options, based on whether you work or not.




1 Employed-full time
2 Employed-part time
3 Employed less than part time
4 Helping family member
5 Unemployed
6 Student, school, vocational training
7 Retired
8 Housewife,-man, home duties
9 Permanently disabled
10 Other, not in labour force
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 10

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 49263 ; Min. 1 ; Max. 10

Variable Format: numeric


WRKHRS: R: Hours worked weekly

Location:

Width: 2

Question: Hours worked weekly

AR: About how many hours a week do (did) you work in your main job?
AT: How many hours per week including overtime do you/did you generally work in your main profession?
AU: How many hours do you usually work each week in all jobs, including regular overtime?
CH CL IE: Generally, how many hours do you work in a week?
CY MX: How many hours do you usually work per week?
CZ: How many hours a week do you work on average in your main job and in other paid activities including overtime work? (Round up to entire hours)
DE: How many hours per week do you normally work in your main job, including overtime?
DO: How many hours a day do you work in a normal week (Monday through Friday, Saturday and Sunday)?
FI FR TW: (If currently working) How many hours do you normally work in an average week?
GB: (Current job: ask all in paid work 10 hours and more) How many hours do you normally work a week in your main job, incl. paid or unpaid overtime? Round to nearest hour; if respondent does not know exactly, accept an estimate.
HR: How many working hours do you usually have in one working week? Please count every paid work - work for which you receive salary or honorarium!
NO: How many hours a week do/did you usually work? Include paid overtime as well as work hours at home in main job.
NZ SE: How many hours, on average, do you usually work in a normal week?
KR LV PH: (If currently working) About how many hours a week do you usually work?
PL UY: How many hours, in average do you/did you work in a week?
RU: How many hours do you usually work?
SI: How many hours per week do you usually work? Count every work that you get paid for or get any compensation.
SK: How many hours a week including over time do you work on average in any paid job?
US: How many hours did you work last week, how many hours a week do you usually work, at all jobs?
ZA: If currently working, how many hours do you normally work per week?




0 Not applicable; not available
96 96 hours and more
97 Refused
98 Can't say, don't know, varies too much
99 No answer


Range of Valid Data Values: 1- 96

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 27812 ; Min. 1 ; Max. 96

Variable Format: numeric


ISCO88: R: Occupation ILO,ISCO 1988 4-digit

Location:

Width: 4

Question: Respondent's Occupation: ILO/ISCO - International Code 1988

AT: Which professional activity are you carrying out in your main job or did you carry out last?
AU: What kind of work do/did you do in your main job?
Coded according to the Australian Bureau of Statistic's Australian and New Zealand Standard Classification of Occupations ANZSCO, First edition, 2006 (to the 4 digit level).
CH: What is your actual occupation? Did you ever have a paid job? Which one was the last one? The answers of the questions were recoded manually into ISCO88.
CL: What is your main activity? What are some of your main duties? It refers to your principal activity. If you are not working now, please think in your most recent job.
CZ: What is/was your occupation or working status in your main job? What work do/did you do? Czech national occupation codes recoded into ISCO88.
DE: What work do/ did you do in your main/ last job?
FI: What is your current or latest occupation or the occupation you are currently studying for?
ISCO88 is constructed from variable by the fielwork institute.
FR: If you are working, what is your current occupation? If you do not work but if you have already worked, what was your last occupation?
Current and previous French Classification of the Occupations (INSEE) and the socioprofessional categories (PCS 1994) are used (3-digit) and mapped to ISCO 1988.
GB: Now I want to ask you about your present/last/future job. What kind of work (do/did/will) you do most of the time? What training or qualifications (are/were) needed for that job? (manually derived from the open answers to the 3 questions above). ISCO88 (COM) is derived from the British Standard Occupational Classification RSOC200 using the attached translation table.
HR: Please state the exact name of your job title and occupation. Describe what do you do, what are your main tasks. What are the educational and professional requirements for your job?
ISCO88-codes were coded directly from the responses.
HU: What is (was) your (last) occupation? Based on the 4-digit Hungarian Classification FEOR, converted into ISCO88 by a standard recode programme.
IE: What is/was your occupation? ILO Occupation Codes based on ISCO88-COM.
JP: Please give details about the current main type of work you are engaged in.
LV: What is your occupation? If R has no current job (retired, unemployed etc.), indicate most recent occupation. Indicate also sector and position where R works.
KR: What kind of work do you normally do? What do you actually do in that job? If currently not working, tell me about your last job.
MX: Which is your current occupation (or last work)? Detailed as much as possible.
NO: What is/was your work title. Please make a short description of your tasks. Norwegian Standard Classification Codes of Occupations (STYRK) based on ISCO88-COM are recoded into ISCO88/ILO according to a correspondence syntax.
NZ: What is your main occupation?
PH: ILO/ISCO88 (3-digit) is matched to ISCO88 (4-digit).
The answers are coded based on the verbatim responses. These verbatim codes are recoded to corresponding ISCO88 codes.
PL: What kind of work do you/ did you normally do?
SE: What is your occupation? What kind of production/activity is performed at your current or last workplace? Both of the above questions are used to classify responses into the Swedish Standardized Classification of Occupations (SSYK). SSYK is thereafter recoded into ISCO88-COM.
SI: What kind of work or occupation do you do? If not working at the moment: what was your last (main) occupation before loosing your job or becoming retired?
SK: Please, write the name of your main occupation. Include detailed description of your working activity: what is your principal activity, responsibility etc.If you are not in labour force (retired or unemployed) at the moment, think of your most recent job. If you are self employed or entrepreneur, please, specify the area of your business.
TW: What is your main occupation (at present, or prior to retirement or unemployment)?
US: What kind of work do/did you normally do? What do/did you actually do in that job? 1980 Census Occupational Codes (OCC) in GSS were initially created and then recoded into ISCO88.
UY: What kind of work do/did you do in the job where you get your highest income?
ZA: What is your current occupation? (last occupation for those who are unemployed)
Using ISCO88 but only the major occupation group (1 digit classification).



0 NAP, never had a job, not in labour force, not in paid work; not available
100 ARMED FORCES
110 Soldiers
112 Officers
1000 LEGISLATORS, SENIOR OFFICIALS AND MANAGERS
1100 LEGISLATORS AND SENIOR OFFICIALS
1110 LEGISLATORS
1120 SENIOR GOVERNMENT OFFICIALS
1130 TRADITIONAL CHIEFS AND HEADS OF VILLAGES
1140 SENIOR OFFICIALS OF SPECIAL-INTEREST ORGANISATIONS
1141 Senior officials of political-party organisations
1142 Senior officials of employers, workers and other economic-interest organisations
1143 Senior officials of humanitarian and other special-interest organisations
1200 CORPORATE MANAGERS (This group is intended to include persons who - as directors, chief executives or department manager
1210 DIRECTORS AND CHIEF EXECUTIVES
1220 PRODUCTION AND OPERATIONS DEPARTMENT MANAGERS
1221 Production and operations department managers in agriculture, hunting, forestry and fishing
1222 Production and operations department managers in manufacturing
1223 Production and operations department managers in construction
1224 Production and operations department managers in wholesale and retail trade
1225 Production and operations department managers in restaurants and hotels
1226 Production and operations department managers in transport, storage and communications
1227 Production and operations department managers in business services
1228 Production and operations department managers in personal care, cleaning and related services
1229 Production and operations department managers not elsewhere classified
1230 OTHER DEPARTMENT MANAGERS
1231 Finance and administration department managers
1232 Personnel and industrial relations department managers
1233 Sales and marketing department managers
1234 Advertising and public relations department managers
1235 Supply and distribution department managers
1236 Computing services department managers
1237 Research and development department managers
1238 Other department managers nec
1239 Other department managers not elsewhere classified
1250 Military officer
1300 GENERAL MANAGERS (This group is intended to include persons who manage enterprises, or in some cases organisations, on t
1310 GENERAL MANAGERS
1311 General managers in agriculture, hunting, forestry/ and fishing
1312 General managers in manufacturing
1313 General managers in construction
1314 General managers in wholesale and retail trade
1315 General managers of restaurants and hotels
1316 General managers in transport, storage and communications
1317 General managers of business services
1318 General managers in personal care, cleaning and related services
1319 General managers not elsewhere classified
2000 PROFESSIONALS
2100 PHYSICAL, MATHEMATICAL AND ENGINEERING SCIENCE PROFESSIONALS
2110 PHYSICISTS, CHEMISTS AND RELATED PROFESSIONALS
2111 Physicists and astronomers
2112 Meteorologists
2113 Chemists
2114 Geologists and geophysicists
2120 MATHEMATICIANS, STATISTICIANS AND RELATED PROFESSIONALS
2121 Mathematicians and related professionals
2122 Statisticians
2130 COMPUTING PROFESSIONALS
2131 Computer systems designers and analysts
2132 Computer programmers
2139 Computing professionals not elsewhere classified
2140 ARCHITECTS, ENGINEERS AND RELATED PROFESSIONALS
2141 Architects, town and traffic planners
2142 Civil engineers
2143 Electrical engineers
2144 Electronics and telecommunications engineers
2145 Mechanical engineers
2146 Chemical engineers
2147 Mining engineers, metallurgists and related professionals
2148 Cartographers and surveyors
2149 Architects, engineers and related professionals not elsewhere classified
2200 LIFE SCIENCE AND HEALTH PROFESSIONALS
2210 LIFE SCIENCE PROFESSIONALS
2211 Biologists, botanists, zoologists and related professionals
2212 Pharmacologists, pathologists and related professionals
2213 Agronomists and related professionals
2220 HEALTH PROFESSIONALS (except nursing)
2221 Medical doctors
2222 Dentists
2223 Veterinarians
2224 Pharmacists
2229 Health professionals (except nursing) not elsewhere classified
2230 NURSING AND MIDWIFERY PROFESSIONALS
2300 TEACHING PROFESSIONALS
2310 COLLEGE, UNIVERSITY AND HIGHER EDUCATION TEACHING PROFESSIONALS
2320 SECONDARY EDUCATION TEACHING PROFESSIONALS
2330 PRIMARY AND PRE-PRIMARY EDUCATION TEACHING PROFESSIONALS
2331 Primary education teaching professionals
2332 Pre-primary education teaching professionals
2340 SPECIAL EDUCATION TEACHING PROFESSIONALS
2350 OTHER TEACHING PROFESSIONALS
2351 Education methods specialists
2352 School inspectors
2359 Other teaching professionals not elsewhere classified
2400 OTHER PROFESSIONALS
2410 BUSINESS PROFESSIONALS
2411 Accountants
2412 Personnel and careers professionals
2419 Business professionals not elsewhere classified
2420 LEGAL PROFESSIONALS
2421 Lawyers
2422 Judges
2429 Legal professionals not elsewhere classified
2430 ARCHIVISTS, LIBRARIANS AND RELATED INFORMATION PROFESSIONALS
2431 Archivists and curators
2432 Librarians and related information professionals
2440 SOCIAL SCIENCE AND RELATED PROFESSIONALS
2441 Economists
2442 Sociologists, anthropologists and related professionals
2443 Philosophers, historians and political scientists
2444 Philologists, translators and interpreters
2445 Psychologists
2446 Social work professionals
2450 WRITERS AND CREATIVE OR PERFORMING ARTISTS
2451 Authors, journalists and other writers
2452 Sculptors, painters and related artists
2453 Composers, musicians and singers
2454 Choreographers and dancers
2455 Film, stage and related actors and directors
2460 RELIGIOUS PROFESSIONALS
2470 Public service administrative prof
3000 TECHNICIANS AND ASSOCIATE PROFESSIONALS
3100 PHYSICAL AND ENGINEERING SCIENCE ASSOCIATE PROFESSIONALS
3110 PHYSICAL AND ENGINEERING SCIENCE TECHNICIANS
3111 Chemical and physical science technicians
3112 Civil engineering technicians
3113 Electrical engineering technicians
3114 Electronics and telecommunications engineering technicians
3115 Mechanical engineering technicians
3116 Chemical engineering technicians
3117 Mining and metallurgical technicians
3118 Draughtspersons
3119 Physical and engineering science technicians not elsewhere classified
3120 COMPUTER ASSOCIATE PROFESSIONALS
3121 Computer assistants
3122 Computer equipment operators
3123 Industrial robot controllers
3130 OPTICAL AND ELECTRONIC EQUIPMENT OPERATORS
3131 Photographers and image and sound recording equipment operators
3132 Broadcasting and telecommunications equipment operators
3133 Medical equipment operators
3139 Optical and electronic equipment operators not elsewhere classified
3140 SHIP AND AIRCRAFT CONTROLLERS AND TECHNICIANS
3141 Ships´ engineers
3142 Ships´ deck officers and pilots
3143 Aircraft pilots and related associate professionals
3144 Air traffic controllers
3145 Air traffic safety technicians
3150 SAFETY AND QUALITY INSPECTORS
3151 Building and fire inspectors
3152 Safety, health and quality inspectors
3200 LIFE SCIENCE AND HEALTH ASSOCIATE PROFESSIONALS
3210 LIFE SCIENCE TECHNICIANS AND RELATED ASSOCIATE PROFESSIONALS
3211 Life science technicians
3212 Agronomy and forestry technicians
3213 Farming and forestry advisers
3220 MODERN HEALTH ASSOCIATE PROFESSIONALS (except nursing)
3221 Medical assistants
3222 Sanitarians
3223 Dieticians and nutritionists
3224 Optometrists and opticians
3225 Dental assistants
3226 Physiotherapists and related associate professionals
3227 Veterinary assistants
3228 Pharmaceutical assistants
3229 Modern health associate professionals (except nursing) not elsewhere classified
3230 NURSING AND MIDWIFERY ASSOCIATE PROFESSIONALS
3231 Nursing associate professionals
3232 Midwifery associate professionals
3240 TRADITIONAL MEDICINE PRACTITIONERS AND FAITH HEALERS
3241 Traditional medicine practitioners
3242 Faith healers
3300 TEACHING ASSOCIATE PROFESSIONALS
3310 PRIMARY EDUCATION TEACHING ASSOCIATE PROFESSIONALS
3320 PRE-PRIMARY EDUCATION TEACHING ASSOCIATE PROFESSIONALS
3330 SPECIAL EDUCATION TEACHING ASSOCIATE PROFESSIONALS
3340 OTHER TEACHING ASSOCIATE PROFESSIONALS
3400 OTHER ASSOCIATE PROFESSIONALS
3410 FINANCE AND SALES ASSOCIATE PROFESSIONALS
3411 Securities and finance dealers and brokers
3412 Insurance representatives
3413 Estate agents
3414 Travel consultants and organisers
3415 Technical and commercial sales representatives
3416 Buyers
3417 Appraisers, valuers and auctioneers
3419 Finance and sales associate professionals not elsewhere classified
3420 BUSINESS SERVICES AGENTS AND TRADE BROKERS
3421 Trade brokers
3422 Clearing and forwarding agents
3423 Employment agents and labour contractors
3429 Business services agents and trade brokers not elsewhere classified
3430 ADMINISTRATIVE ASSOCIATE PROFESSIONALS
3431 Administrative secretaries and related associate professionals
3432 Legal and related business associate professionals
3433 Bookkeepers
3434 Statistical, mathematical and related associate professionals
3439 Administrative associate professionals not elsewhere classified
3440 CUSTOMS, TAX AND RELATED GOVERNMENT ASSOCIATE PROFESSIONALS
3441 Customs and border inspectors
3442 Government tax and excise officials
3443 Government social benefits officials
3444 Government licensing officials
3449 Customs, tax and related government associate professionals not elsewhere classified
3450 POLICE INSPECTORS AND DETECTIVES
3460 SOCIAL WORK ASSOCIATE PROFESSIONALS
3470 ARTISTIC, ENTERTAINMENT AND SPORTS ASSOCIATE PROFESSIONALS
3471 Decorators and commercial designers
3472 Radio, television and other announcers
3473 Street, night-club and related musicians, singers and dancers
3474 Clowns, magicians, acrobats and related associate professionals
3475 Athletes, sportspersons and related associate professionals
3480 RELIGIOUS ASSOCIATE PROFESSIONALS
3491 Informationworker+journalist
4000 CLERKS
4100 OFFICE CLERKS
4110 SECRETARIES AND KEYBOARD-OPERATING CLERKS
4111 Stenographers and typists
4112 Word-processor and related operators
4113 Data entry operators
4114 Calculating-machine operators
4115 Secretaries
4116 Clerical officer
4120 NUMERICAL CLERKS
4121 Accounting and bookkeeping clerks
4122 Statistical and finance clerks
4130 MATERIAL-RECORDING AND TRANSPORT CLERKS
4131 Stock clerks
4132 Production clerks
4133 Transport clerks
4140 LIBRARY, MAIL AND RELATED CLERKS
4141 Library and filing clerks
4142 Mail carriers and sorting clerks
4143 Coding, proof-reading and related clerks
4144 Scribes and related workers
4190 OTHER OFFICE CLERKS
4200 CUSTOMER SERVICES CLERKS
4210 CASHIERS, TELLERS AND RELATED CLERKS
4211 Cashiers and ticket clerks
4212 Tellers and other counter clerks
4213 Bookmakers and croupiers
4214 Pawnbrokers and money-lenders
4215 Debt-collectors and related workers
4220 CLIENT INFORMATION CLERKS
4221 Travel agency and related clerks
4222 Receptionists and information clerks
4223 Telephone switchboard operators
4400 Post office,higher civil service
4500 Railway official,higher civil service
5000 SERVICE WORKERS AND SHOP AND MARKET SALES WORKERS
5100 PERSONAL AND PROTECTIVE SERVICES WORKERS
5110 TRAVEL ATTENDANTS AND RELATED WORKERS
5111 Travel attendants and travel stewards
5112 Transport conductors
5113 Travel guides
5120 HOUSEKEEPING AND RESTAURANT SERVICES WORKERS
5121 Housekeepers and related workers
5122 Cooks
5123 Waiters, waitresses and bartenders
5130 PERSONAL CARE AND RELATED WORKERS
5131 Child-care workers
5132 Institution-based personal care workers
5133 Home-based personal care workers
5135 Medical secretaries
5136 Childminders etc
5139 Personal care and related workers not elsewhere classified
5140 OTHER PERSONAL SERVICES WORKERS
5141 Hairdressers, barbers, beauticians and related workers
5142 Companions and valets
5143 Undertakers and embalmers
5149 Other personal services workers not elsewhere classified
5150 ASTROLOGERS, FORTUNE-TELLERS AND RELATED WORKERS
5151 Astrologers and related workers
5152 Fortune-tellers, palmists and related workers
5160 PROTECTIVE SERVICES WORKERS
5161 Fire-fighters
5162 Police officers
5163 Prison guards
5169 Protective services workers not elsewhere classified
5200 MODELS, SALESPERSONS AND DEMONSTRATORS
5210 FASHION AND OTHER MODELS
5220 SHOP SALESPERSONS AND DEMONSTRATORS
5230 STALL AND MARKET SALESPERSONS
6000 SKILLED AGRICULTURAL AND FISHERY WORKERS
6100 MARKET-ORIENTED SKILLED AGRICULTURAL AND FISHERY WORKERS
6110 MARKET GARDENERS AND CROP GROWERS
6111 Field crop and vegetable growers
6112 Tree and shrub crop growers
6113 Gardeners, horticultural and nursery growers
6114 Mixed-crop growers
6120 MARKET-ORIENTED ANIMAL PRODUCERS AND RELATED WORKERS
6121 Dairy and livestock producers
6122 Poultry producers
6123 Apiarists and sericulturists
6124 Mixed-animal producers
6129 Market-oriented animal producers and related workers not elsewhere classified
6130 MARKET-ORIENTED CROP AND ANIMAL PRODUCERS
6140 FORESTRY AND RELATED WORKERS
6141 Forestry workers and loggers
6142 Charcoal burners and related workers
6150 FISHERY WORKERS, HUNTERS AND TRAPPERS
6151 Aquatic-life cultivation workers
6152 Inland and coastal waters fishery workers
6153 Deep-sea fishery workers
6154 Hunters and trappers
6200 SUBSISTENCE AGRICULTURAL AND FISHERY WORKERS
6210 SUBSISTENCE AGRICULTURAL AND FISHERY WORKERS
7000 CRAFT AND RELATED TRADES WORKERS
7100 EXTRACTION AND BUILDING TRADES WORKERS
7110 MINERS, SHOTFIRERS, STONE CUTTERS AND CARVERS
7111 Miners and quarry workers
7112 Shotfirers and blasters
7113 Stone splitters, cutters and carvers
7120 BUILDING FRAME AND RELATED TRADES WORKERS
7121 Builders, traditional materials
7122 Bricklayers and stonemasons
7123 Concrete placers, concrete finishers and related workers
7124 Carpenters and joiners
7125 Joiner, formwork
7127 Foundation workers
7128 Tunnel+mountain workers
7129 Building frame and related trades workers not elsewhere classified
7130 BUILDING FINISHERS AND RELATED TRADES WORKERS
7131 Roofers
7132 Floor layers and tile setters
7133 Plasterers
7134 Insulation workers
7135 Glaziers
7136 Plumbers and pipe fitters
7137 Building and related electricians
7139 Building finishers+rel.trade workers
7140 PAINTERS, BUILDING STRUCTURE CLEANERS AND RELATED TRADES WORKERS
7141 Painters and related workers
7142 Varnishers and related painters
7143 Building structure cleaners
7144 Chimney sweepers
7200 METAL, MACHINERY AND RELATED TRADES WORKERS
7210 METAL MOULDERS, WELDERS, SHEET-METAL WORKERS, STRUCTURAL- METAL PREPARERS, AND RELATED TRADES WORKERS
7211 Metal moulders and coremakers
7212 Welders and flamecutters
7213 Sheet metal workers
7214 Structural-metal preparers and erectors
7215 Riggers and cable splicers
7216 Underwater workers
7217 Car+airstructure mechanics
7220 BLACKSMITHS, TOOL-MAKERS AND RELATED TRADES WORKERS
7221 Blacksmiths, hammer-smiths and forging-press workers
7222 Tool-makers and related workers
7223 Machine-tool setters and setter-operators
7224 Metal wheel-grinders, polishers and tool sharpeners
7230 MACHINERY MECHANICS AND FITTERS
7231 Motor vehicle mechanics and fitters
7232 Aircraft engine mechanics and fitters
7233 Agricultural- or industrial-machinery mechanics and fitters
7240 ELECTRICAL AND ELECTRONIC EQUIPMENT MECHANICS AND FITTERS
7241 Electrical mechanics and fitters
7242 Electronics fitters
7243 Electronics mechanics and servicers
7244 Telegraph and telephone installers and servicers
7245 Electrical line installers, repairers and cable jointers
7300 PRECISION, HANDICRAFT, PRINTING AND RELATED TRADES WORKERS
7310 PRECISION WORKERS IN METAL AND RELATED MATERIALS
7311 Precision-instrument makers and repairers
7312 Musical instrument makers and tuners
7313 Jewellery and precious-metal workers
7320 POTTERS, GLASS-MAKERS AND RELATED TRADES WORKERS
7321 Abrasive wheel formers, potters and related workers
7322 Glass makers, cutters, grinders and finishers
7323 Glass engravers and etchers
7324 Glass, ceramics and related decorative painters
7330 HANDICRAFT WORKERS IN WOOD,TEXTILE, LEATHER AND RELATED MATERIALS
7331 Handicraft workers in wood and related materials
7332 Handicraft workers in textile, leather and related materials
7340 PRINTING AND RELATED TRADES WORKERS
7341 Compositors, typesetters and related workers
7342 Stereotypers and electrotypers
7343 Printing engravers and etchers
7344 Photographic and related workers
7345 Bookbinders and related workers
7346 Silk-screen, block and textile printers
7350 Technical drawers
7400 OTHER CRAFT AND RELATED TRADES WORKERS
7410 FOOD PROCESSING AND RELATED TRADES WORKERS
7411 Butchers, fishmongers and related food preparers
7412 Bakers, pastry-cooks and confectionery makers
7413 Dairy-products makers
7414 Fruit, vegetable and related preservers
7415 Food and beverage tasters and graders
7416 Tobacco preparers and tobacco products makers
7420 WOOD TREATERS, CABINET-MAKERS AND RELATED TRADES WORKERS
7421 Wood treaters
7422 Cabinet makers and related workers
7423 Woodworking machine setters and setter-operators
7424 Basketry weavers, brush makers and related workers
7430 TEXTILE, GARMENT AND RELATED TRADES WORKERS
7431 Fibre preparers
7432 Weavers, knitters and related workers
7433 Tailors, dressmakers and hatters
7434 Furriers and related workers
7435 Textile, leather and related pattern-makers and cutters
7436 Sewers, embroiderers and related workers
7437 Upholsterers and related workers
7440 PELT, LEATHER AND SHOEMAKING TRADES WORKERS
7441 Pelt dressers, tanners and fellmongers
7442 Shoe-makers and related workers
7520 Electronics engineers nec
8000 PLANT AND MACHINE OPERATORS AND ASSEMBLERS
8100 STATIONARY-PLANT AND RELATED OPERATORS
8110 MINING- AND MINERAL-PROCESSING-PLANT OPERATORS
8111 Mining-plant operators
8112 Mineral-ore- and stone-processing-plant operators
8113 Well drillers and borers and related workers
8120 METAL-PROCESSING-PLANT OPERATORS
8121 Ore and metal furnace operators
8122 Metal melters, casters and rolling-mill operators
8123 Metal-heat-treating-plant operators
8124 Metal drawers and extruders
8130 GLASS, CERAMICS AND RELATED PLANT OPERATORS
8131 Glass and ceramics kiln and related machine operators
8139 Glass, ceramics and related plant operators not elsewhere classified
8140 WOOD-PROCESSING- AND PAPERMAKING-PLANT OPERATORS
8141 Wood-processing-plant operators
8142 Paper-pulp plant operators
8143 Papermaking-plant operators
8150 CHEMICAL-PROCESSING-PLANT OPERATORS
8151 Crushing-, grinding- and chemical-mixing-machinery operators
8152 Chemical-heat-treating-plant operators
8153 Chemical-filtering- and separating-equipment operators
8154 Chemical-still and reactor operators (except petroleum and natural gas)
8155 Petroleum- and natural-gas-refining-plant operators
8159 Chemical-processing-plant operators not elsewhere classified
8160 POWER-PRODUCTION AND RELATED PLANT OPERATORS
8161 Power-production plant operators
8162 Steam-engine and boiler operators
8163 Incinerator, water-treatment and related plant operators
8170 AUTOMATED-ASSEMBLY-LINE AND INDUSTRIAL-ROBOT OPERATORS
8171 Automated-assembly-line operators
8172 Industrial-robot operators
8200 MACHINE OPERATORS AND ASSEMBLERS
8210 METAL- AND MINERAL-PRODUCTS MACHINE OPERATORS
8211 Machine-tool operators
8212 Cement and other mineral products machine operators
8220 CHEMICAL-PRODUCTS MACHINE OPERATORS
8221 Pharmaceutical- and toiletry-products machine operators
8222 Ammunition- and explosive-products machine operators
8223 Metal finishing-, plating- and coating-machine operators
8224 Photographic-products machine operators
8229 Chemical-products machine operators not elsewhere classified
8230 RUBBER- AND PLASTIC-PRODUCTS MACHINE OPERATORS
8231 Rubber-products machine operators
8232 Plastic-products machine operators
8240 WOOD-PRODUCTS MACHINE OPERATORS
8250 PRINTING-, BINDING- AND PAPER-PRODUCTS MACHINE OPERATORS
8251 Printing-machine operators
8252 Bookbinding-machine operators
8253 Paper-products machine operators
8260 TEXTILE-, FUR- AND LEATHER-PRODUCTS MACHINE OPERATORS
8261 Fibre-preparing-, spinning- and winding-machine operators
8262 Weaving- and knitting-machine operators
8263 Sewing-machine operators
8264 Bleaching-, dyeing- and cleaning-machine operators
8265 Fur and leather-preparing-machine operators
8266 Shoemaking- and related machine operators
8269 Textile-, fur- and leather-products machine operators not elsewhere classified
8270 FOOD AND RELATED PRODUCTS MACHINE OPERATORS
8271 Meat- and fish-processing-machine operators
8272 Dairy-products machine operators
8273 Grain- and spice-milling-machine operators
8274 Baked-goods, cereal and chocolate-products machine operators
8275 Fruit-, vegetable- and nut-processing-machine operators
8276 Sugar production machine operators
8277 Tea-, coffee-, and cocoa-processing-machine operators
8278 Brewers, wine and other beverage machine operators
8279 Tobacco production machine operators
8280 ASSEMBLERS
8281 Mechanical-machinery assemblers
8282 Electrical-equipment assemblers
8283 Electronic-equipment assemblers
8284 Metal-, rubber- and plastic-products assemblers
8285 Wood and related products assemblers
8286 Paperboard, textile and related products assemblers
8287 Composite products assemblers
8290 OTHER MACHINE OPERATORS AND ASSEMBLERS
8300 DRIVERS AND MOBILE-PLANT OPERATORS
8310 LOCOMOTIVE-ENGINE DRIVERS AND RELATED WORKERS
8311 Locomotive-engine drivers
8312 Railway brakers, signallers and shunters
8320 MOTOR-VEHICLE DRIVERS
8321 Motor-cycle drivers
8322 Car, taxi and van drivers
8323 Bus and tram drivers
8324 Heavy-truck and lorry drivers
8330 AGRICULTURAL AND OTHER MOBILE-PLANT OPERATORS
8331 Motorised farm and forestry plant operators
8332 Earth-moving- and related plant operators
8333 Crane, hoist and related plant operators
8334 Lifting-truck operators
8340 SHIPS´ DECK CREWS AND RELATED WORKERS
8342 Engine crew, ship
9000 ELEMENTARY OCCUPATIONS
9100 SALES AND SERVICES ELEMENTARY OCCUPATIONS
9110 STREET VENDORS AND RELATED WORKERS
9111 Street food vendors
9112 Street vendors, non-food products
9113 Door-to-door and telephone salespersons
9120 SHOE CLEANING AND OTHER STREET SERVICES ELEMENTARY OCCUPATIONS
9130 DOMESTIC AND RELATED HELPERS, CLEANERS AND LAUNDERERS
9131 Domestic helpers and cleaners
9132 Helpers and cleaners in offices, hotels and other establishments
9133 Hand-launderers and pressers
9140 BUILDING CARETAKERS, WINDOW AND RELATED CLEANERS
9141 Building caretakers
9142 Vehicle, window and related cleaners
9150 MESSENGERS, PORTERS, DOORKEEPERS AND RELATED WORKERS
9151 Messengers, package and luggage porters and deliverers
9152 Doorkeepers, watchpersons and related workers
9153 Vending-machine money collectors, meter readers and related workers
9160 GARBAGE COLLECTORS AND RELATED LABOURERS
9161 Garbage collectors
9162 Sweepers and related labourers
9200 AGRICULTURAL, FISHERY AND RELATED LABOURERS
9210 AGRICULTURAL, FISHERY AND RELATED LABOURERS
9211 Farm-hands and labourers
9212 Forestry labourers
9213 Fishery, hunting and trapping labourers
9300 LABOURERS IN MINING, CONSTRUCTION, MANUFACTURING AND TRANSPORT
9310 MINING AND CONSTRUCTION LABOURERS
9311 Mining and quarrying labourers
9312 Construction and maintenance labourers: roads, dams and similar constructions
9313 Building construction labourers
9320 MANUFACTURING LABOURERS
9321 Assembling labourers
9322 Hand packers and other manufacturing labourers
9330 TRANSPORT LABOURERS AND FREIGHT HANDLERS
9331 Hand or pedal vehicle drivers
9332 Drivers of animal-drawn vehicles and machinery
9333 Freight handlers
9996 Not classifiable;inadeq described
9997 Refused
9998 Dont know
9999 NA

in Croatia (HR):
4300 Office helping workers

in Czech Republic (CZ):
7500 Metal worker general

in Dominican Republic (DO):
7500 Metal worker general

in Germany (DE):
7510 Metal worker nec
7900 Master craftsmen,supervisor

in Hungary (HU):
7510 Metal worker nec

in New Zealand (NZ):
7510 Metal worker nec

in Philippines (PH):
4300 Office helping workers
7900 Master craftsmen,supervisor

in South Korea (KR):
4300 Office helping workers


Range of Valid Data Values: 100- 9333

Range of Invalid Data Values: 9996- 99990

Summary Statistics: Valid 40789 ; Min. 100 ; Max. 9333

Variable Format: numeric


WRKTYPE: R: Workg f priv.,pub sector, selfempl.

Location:

Width: 1

Question: Private versus public sector or self-employed: (If R is employee in current/previous job) Do you work at present or did you work in your last job in the private or public sector?

AR: It is (was) a job in...?
AT: Where do you work now / where have you worked last?
AU: Who do (or did) you work for in your main job?
CL: Please choose one of the following alternatives, regarding whether you work in the public or private sector.
CY: Public or private sector
CZ: Two original variables were used: 'Do you work (in your last job did you work) in' and 'Current economic status'.
DE: Constructed from 'Current and former occupational status', 'Employment status' and 'Employment in public sector'.
DO: Are you a public or private employee?
FI: Is/was your employer the state, a municipality, a state-owned enterprise or a private enterprise?
HR: Where do you work?
IE CH: Do/did you work in the public or private sector or are/were you self-employed?
GB: (If R is/was employee in current/previous job) Which of the types of organisation on this card do you/will you be working/did you work for?
IL: Work for private, public sector, self employed?
KR: Are/were you employed by the government, a publicly owned firm, a private firm, or a non-profit organisation?
LV SI: Do you work in public or private sector? For not working respondents, please tell about your recent occupation.
MX: Type of institution where you work (or last worked).
NO: Is the firm/organisation you work/worked for:?
NZ: Which of these categories best describes who you work for (or who you worked for most recently)?
PH: Where do you work?
PL: What is/was the form of ownership of this place of work?
SE: Do/did you mainly work in the private or in the public services? Are/were you self-employed or an employee?
SK: Do you currently work in: (if you are not employed at the moment, where did you work in your last job?)
TW: Are/were you a boss or an employee? Do/did you work for a public or private section?
US: Are/were you employed by the federal state, or local government or by a private employer (including non-profit organizations)? Are/were you self employed or do/did you work for someone else?
UY: Please choose one of the following options, depending on if you work/worked in the public or private sector.
ZA: Who is your employer for this work?



0 Not applicable, never had a job, not in labour force; not available
1 Work for government
2 Public owned firm, nationalized industry
3 Private firm, others
4 Self employed
9 No answer, don't know


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 09

Summary Statistics: Valid 40460 ; Min. 1 ; Max. 6

Variable Format: numeric


NEMPLOY: R: Self-employed - number of employees

Location:

Width: 4

Question: Do you have any employees, if so, how many? (exact number of employees)

AR: Counting yourself, how many people work (use to work) in a steady way in the firm or activity?
AU: If you are (or were) self-employed, please tell us how many staff you employ (or did employ).
BG: Do you have any employees? If so, how many?
CH: How many employees do/did your organisation employ, including yourself?
CL: How many employees are in your firm?
CY: How many employees do/did you have?
CZ NZ PH US: (If self-employed in current/last job) In your work or business, do/did you have any employees? If yes: How many employees do/did you have?
DO FI: Do/did you have any employees? How many?
FR: If you are self-employed, how many employees are working for you?
GB: Note that family members may be employees only if they receive a regular wage or salary.
IE: How many regular paid employees are there in the branch or outlet of the business or organisation you work in?
JP: How many employees are there in your company, including yourself?
KR SI: How many employees do you employ?
LV: Do/did you have any employees in your enterprise, how many?
MX: Working you self employed, do you have any employees? How many?
NO: If you are/were self employed with employees, how many employees do/did you have?
PL: How many people work in this firm, except you? If this is a multidivisional enterprise, please give the number of workers in the division you work/worked in.
SE: If self-employed with employees. How many?
SK: Do you have any employees? If yes, how many? (If you do not run your own business at the moment, think of your last business).
TW ZA: How many employees do you have working for you?
UY: As self-employed, do you hire any employee? Write the exact number of employees, excluding the respondent.




0 Not applicable; not available
9995 No employees
9997 Refused
9998 Don't know
9999 No answer


Range of Valid Data Values: 1- 3083

Range of Invalid Data Values: 9995- 99990

Summary Statistics: Valid 2855 ; Min. 1 ; Max. 3083

Variable Format: numeric


WRKSUP: R: Supervises others at work

Location:

Width: 1

Question: Do you supervise others at work?

AR: How many people do (did) you directly supervise, including unpaid workers?
AT: Is it (was it) part of your work, to instruct members of staff or to supervise their work?
BG CY: Do you supervise the work of any other people?
CH NO PH UY: Do/did you supervise other workers or are/were you responsible for the work of others?
CL: In your work, do you supervise others or are responsible for other people’s work?
CZ: Do/did you have any subordinates in your main job?
DE: Do your professional duties include supervising the work of other employees or telling them what they have to do?
DO: In your job do you supervise other people’s work?
FI: In your main job, do you supervise anyone or are you directly responsible for the work of other people?
FR: Do you supervise the work of any other people?
GB: In your job, do/did/will you have any formal responsibility for supervising the work of other employees/people? Do NOT include people who only supervise: children (e.g. teachers, nannies and childminders), animals and security or buildings (e.g. caretakers, security guards).
HR: Are you held responsible for the work of others at your work or do you supervise the work of any other person at work?
IE: Do you normally supervise any other workers in your job?
JP: Do you hold any managerial position?
KR: Do/did you have a subordinate at your workplace for whom you were directly responsible?
MX: In the fulfilment of your current work the supervision of the work of some other person is included? (Or in their last work).
PL: As an offical part of your main job, do/did you supervise the work of other employees/tell other employees what to do?
SI: What is/was your position at work?
SK: In your main job, do you have any subordinates? Are you responsible for the work of others? (If you are not employed at the moment, think of your last job.)
US: Do you (or your spouse) supervise anyone at work who is directly responsible to you?
ZA: Do you supervise the work of any other people? If not currently employed ask most recent job.



0 Not applicable, not available
1 Yes, supervises
2 No, do not supervise
7 Refused
8 Don't know
9 No answer


Range of Valid Data Values: 1- 2

Range of Invalid Data Values: 7- 90

Summary Statistics: Valid 37663 ; Min. 1 ; Max. 2

Variable Format: numeric


UNION: R: Trade union membership

Location:

Width: 1

Question: Trade (labour) union membership: Are you currently member (or were you) of a trade union?

AT: Are you member of a trade union or have you been a member before?
AU CY: Do you belong to a union?
CL: Are you or were you part of a trade union?
CH DE IE KR LV NZ NO SE TW: Are you/have you ever been a member of a trade union or a similar organisation?
CZ: Are you or were you in the past a member of any of these organisations? a) Trade unions.
GB: Are you now a member of a trade union or staff association? If answered no/don't know: Have you ever been a member of a trade union or staff association?
HR SI: Are you a member of trade union (or were you in the past)?
MX: At the present are you affiliated to a union?
PH: Are you a labor union member or not?
PL: Do you (currently) belong to a trade union?
SK: Are you a member of a union?
US: Do you (or your spouse) belong to a labour union?
UY: Are you member or were you a member of a Labour Union?
ZA: Are you a paid up member of a Trade Union?



0 Not applivable, not available
1 Currently member
2 Once member, not now
3 Never member
8 Don't know
9 No answer, refused


Range of Valid Data Values: 1- 3

Range of Invalid Data Values: 089

Summary Statistics: Valid 39801 ; Min. 1 ; Max. 3

Variable Format: numeric


SPWRKST: S-P: Current employment status

Location:

Width: 2

Question: Spouse/ partner: Current employment status
What is the current economic status, main source of living of your spouse/partner?

AR: Does your spouse actually has a paid job? What kind of work does (did) he/she do in his/her main job? What kind of business, activity, or service is (was) that ?
AU: Which of the following best describes what your partner was doing last week?
BG CY: Spouse-partner: current employment status.
CH: Is your partner currently working full or part time or is he/she not working for pay?
CL: Thinking about your spouse or partner, please choose one of the following alternatives, depending whether you are working or not working.
DE: Derived from 'Partner's current employment status' and 'Partner's occupational status'.
JP: Is your spouse in continuous, gainful employment?
KR: Information derived and integrated from various questions.
LV: Now about the main source of living of spouse/ permanent partner: Is he/she now ...?
MX: Which is the current situation of employment of your partner?
NO: What is your spouse/partners main activity, or source of income?
NZ: Which one of these following categories best describes your partner’s or spouse’s current employment status?
PL: What is your wife/husband’s current job situation?
SE: Which of the following groups do your husband/wife/live-in partner belong to? If he/she is on parental- or sickness-leave, please indicate whether he/she worked full-time or part-time before the parental- or sickness-leave.
SI: What is his/her current employment status, is he/she employed or something else?
SK: Does your spouse/partner currently have an income from any working activity?
TW: Is your spouse (or partner) currently employed?
US: Last week was your spouse working full time, part time, going to school, keeping house, or what?
UY: Thinking about your wife/husband or partner, please choose one of the following options, based on whether he/she works or not.
ZA: If you are married or have a partner, what is his/her employment status?



0 Not applicable, not married, no partner; not available
1 Full-time employed, main job
2 Part-time employed, main job
3 Less part-time employed
4 Helping family member
5 Unemployed
6 Student, school, education
7 Retired
8 Housewife,-man, home duties
9 Permanently disabled
10 Other, not in labour force
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 10

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 29873 ; Min. 1 ; Max. 10

Variable Format: numeric


SPISCO88: S-P: Occupation ILO,ISCO 1988 4-digit

Location:

Width: 4

Question: Spouse Occupation: ILO/ISCO - International Code 1988

AR: What kind of work does your spouse do (did) in this job? What are (were) his/her main duties?
AU: What kind of work does/did your partner do in the main job?
Coded according to the Australian Bureau of Statistic's Australian and New Zealand Standard Classification of Occupations ANZSCO, First edition, 2006 (to the 4 digit level).
BG CY: Spouse-partner, occupation ISCO 1988 4-digit.
CH: Which profession your partner does/did practice? The answers of the questions were recoded manually into ISCO88.
CZ: What is/was the occupation of your spouse/partner in her/his main job? What job does/did she/he do?
FR: Current and previous French Classifications of the Occupations (INSEE) and the socioprofessionnel categories (PCS 1994) are used and mapped to ILO/ISCO 1988.
GB: SPISCO88 is derived from the Standard Occupational Classification 2000 (SOC) using the translation table to ISCO88-COM.
HU: What is (was) her/his (last) occupation? Based on the 4-digit Hungarian Classification FEOR, converted into ISCO88 by a standard recode programme.
KR: What kind of work does your spouse normally do? What does (he/she) actually do in that job? If currently not working, tell me about (his/her) last job.
MX: Which is your partner's current occupation (or last work)?
NO: (If living with partner and partner in paid work) What is/was your partner's work title. Please make a short description of the tasks. Norwegian Standard Classifications of Occupation Codes (STYRK) based on ISCO88-COM are recoded into ILO/ISCO88 according to a correpondence syntax.
PH: Present or last job: ILO/ISCO88 (3-digit) is matched to ISCO88 (4-digit).
SE: What is your husband’s/ wife’s/ live-in partner’s occupation? If he/she is retired or not working at the moment, please indicate what his/her occupation was in his/her last job. See ISCO88 for information on coding procedures.
SI: What kind of work or occupation does your partner do? If not working at the moment: what was his/her last (main) occupation?
SK: Please, write the name of the main occupation of your spouse/partner. Include detailed description of his/her working activity: what is his/her principal activity, responsibility etc. If your spouse/partner is not in labour force at the moment (is retired or unemployed etc), think of his/her most recent job.
US: What kind of work does/did your spouse normally do? What does/did your spouse actually do in that job? ILO/ISCO 1988 based on the 1980 Census Occupational Codes.
UY: What kind of work does/did your spouse/ partner do in the job where he/she gets/got his/her highest income?
ZA: Current main job and last occupation for those who are unemployed - ILO/ISCO 1988 major occupation groups (1 digit classification).



0 Not applicable, no partner, never had a job; not in paid work; not available
100 Armed forces
110 Armed forces
112 Officers
1000 Legislators, senior officials and managers
1100 Legislators and senior officials
1110 Legislators
1120 Senior government official
1130 Traditional chiefs and heads of villages
1140 Senior officials of special interest organisation
1141 Senior officials of political party organisations
1142 Senior officials of employers, workers and other economic-interest organisations
1143 Senior officials of humanitarian and other special-interest organisations
1200 Corporate managers
1210 Directors and chief executives
1220 Production and operations department managers
1221 Production and operations department managers in agriculture, hunting, forestry and fishing
1222 Productions and operations department managers in manufacturing
1223 Productions and operations department managers in construction
1224 Productions and operations department managers in retail trade
1225 Productions and operations department managers in restaurants and hotels
1226 Productions and operations department managers in transport storage and communications
1227 Productions and operations department managers in business services
1228 Productions and operations department managers in personal care, cleaning and related services
1229 Productions and operations department managers not elsewhere classified
1230 Other department managers
1231 Finance and administration department managers
1232 Personnel and industrial relations department managers
1233 Sales and marketing department managers
1234 Advertising and public relations department managers
1235 Supply and distribution department managers
1236 Computing services department managers
1237 Research and development department managers
1238 Other department managers nec
1239 Other department managers
1300 General managers
1310 General managers
1311 General managers in agriculture
1312 General managers in manufacture
1313 General managers in construction
1314 General managers in wholesale and retail trade
1315 General managers of restaurants and hotels
1316 General managers in transport, storage and communications
1317 General managers of business services
1318 General managers in personal care, cleaning and related services
1319 General managers not elsewhere classified
2000 Professionals
2100 Physical, mathematical and engineering science professionals
2110 Physicists, chemists and related professionals
2111 Physicists, and astronomers
2112 Meteorologists
2113 Chemists
2114 Geologists and geophysicists
2120 Mathematicians, statisticians and related professionals
2121 Mathematicians and related professionals
2122 Statisticians
2130 Computing professionals
2131 Computing systems designers and analysts
2132 Computer programmers
2139 Computing professionals not elsewhere classified
2140 Architects, engineers and related professionals
2141 Architects, town and traffic planners
2142 Civil engineers
2143 Electrical engineers
2144 Electronics and telecommunications engineers
2145 Mechanical engineers
2146 Chemical engineers
2147 Mining engineers, metallurgists and related professionals
2148 Cartographers and surveyors
2149 Architects, engineers and related professionals not elsewhere classified
2199 Other natural scientist
2200 Life science and health professionals
2210 Life science professionals
2211 Biologist, botanist, zoologist and related professionals
2212 Pharmacologists, pathologists and related professionals
2213 Agronomists and related professionals
2220 Health professionals
2221 Medical doctors
2222 Dentists
2223 Veterinarians
2224 Pharmacists
2229 Health professionals (except nursing) not elsewhere classified
2230 Nursing and midwifery professionals
2300 Teaching professionals
2310 College, university and higher education teacher
2320 Secondary education teacher
2330 Primary and pre-primary education teaching professionals
2331 Primary education teaching professionals
2332 Pre-primary education teaching professionals
2340 Special education teaching professionals
2350 Other teaching professionals
2351 Education methods specialists
2352 School inspectors
2359 Other teaching professionals not elsewhere classified
2400 Other professionals
2410 Business professionals
2411 Accountants
2412 Personnel and careers professionals
2419 Business professionals not elsewhere classified
2420 Legal professionals
2421 Lawyers
2422 Judges
2429 Legal professionals not elsewhere classified
2430 Archivists, librarians and related information professionals
2431 Archivists and curators
2432 Librarians and related information professionals
2440 Social science and related professionals
2441 Economists
2442 Sociologists, anthropologists and related professionals
2443 Philosophers, historians and political scientists
2444 Philologists, translators and interpreters
2445 Psychologists
2446 Social work professionals
2450 Writers and creative artists
2451 Authors, journalists and other writers
2452 Sculptors, painters and related artists
2453 Composers, musicians and singers
2454 Choreographers and dancers
2455 Film, stage and related actors and directors
2460 Religious professionals
2470 ISCO_COM: Public service administrative professionals
2500 Education professionals not elsewhere classified
3000 Technicians and associate professionals
3100 Physical and engineering science associate professionals
3110 Physical and engineering science technicians
3111 Chemical and physical science technicians
3112 Civil engineering technicians
3113 Electrical engineering technicians
3114 Electronics and telecommunication technicians
3115 Mechanical engineering technicians
3116 Chemical engineering technicians
3117 Mining and metallurgical technicians
3118 Draughtspersons
3119 Physical and engineering science technicians not elsewhere classified
3120 Computer associate professionals
3121 Computer assistants
3122 Computer equipment operators
3123 Industrial robot controllers
3130 Optical and electronic equipment operators
3131 Photographers and image and sound recording equipment operators
3132 Photographers and image and sound recording equipment operators
3133 Medical equipment operators
3139 Optical and electronic equipment operators not elsewhere classified
3140 Ship and aircraft controllers and technicians
3141 Ships engineers
3142 Ships deck officers and pilots
3143 Aircraft pilots and related associate professionals
3144 Air traffic pilots
3145 Air traffic safety technicians
3150 Safety and quality inspectors
3151 Building and fire inspectors
3152 Safety, health and quality inspectors
3200 Life science and health associate professionals
3210 Life science technicians and related associate professionals
3211 Life science technicians
3212 Agronomy and forestry technicians
3213 Farming and forestry advisers
3220 Modern health associate professionals (except nursing)
3221 Medical assistants
3222 Sanitarians
3223 Dieticians and nutritionists
3224 Optometrists and opticians
3225 Dental assistants
3226 Physiotherapists and related associate professionals
3227 Veterinary assistants
3228 Pharmaceutical assistants
3229 Modern health associate professionals (except nursing) not elsewhere classified
3230 Nursing and midwifery associate professionals
3231 Nursing associate professionals
3232 Midwifery associate professionals
3240 Traditional medicine practitioners and faith healers
3241 Traditional medicine practitioners
3242 Faith healers
3300 Teaching associate professionals
3310 Primary education teaching associate professionals
3320 Pre-primary education teaching associate professionals
3330 Special education teaching associate professionals
3340 Other teaching associate professionals
3400 Other associate professionals
3410 Finance and sales associate professionals
3411 Securities and finance dealers and brokers
3412 Insurance representatives
3413 Estate agents
3414 Travel consultants and organisers
3415 Technical and commercial sales representatives
3416 Buyers
3417 Appraisers, valuers and auctioneers
3419 Finance and sales associate professionals not elsewhere classified
3420 Business services agents and trade broker
3421 Trade brokers
3422 Clearing and forwarding agents
3423 Employment agents and labour contractors
3429 Other business services agents and trade brokers not elsewhere classified
3430 Administrative associate professionals
3431 Administrative secretaries and related associate professionals
3432 Legal and related business associate professionals
3433 Bookkeepers
3434 Statistical, mathematical and related associate professionals
3439 Administrative associate professionals not elsewhere classified
3440 Customs, tax and related government associate professionals
3441 Customs and border inspectors
3442 Government tax and excise officials
3443 Government social benefits officials
3444 Government licensing officials
3445 Public employment service worker
3449 Customs, tax and related government associate professionals not elsewhere classified
3450 Police inspectors and detectives
3460 Social work associate professionals
3470 Artistic, entertainment and sports associate professionals
3471 Decorators and commercial designers
3472 Radio, television and other announcers
3473 Street, night-club and related musicians, singers and dancers
3474 Clowns, magicians, acrobats and related associate professionals
3475 Athletes, sportspersons and related associate professionals
3480 Religious associate professionals
3491 Informationworkers and journalists
4000 Clerks, office worker
4100 Office clerks
4110 Secretaries and keyboard-operating clerks
4111 Stenographers and typists
4112 Word-processor and related operators
4113 Data entry operators
4114 Calculating machine operators
4115 Secretaries
4120 Numerical clerks
4121 Accounting and bookkeeping clerks
4122 Statistical and finance clerks
4130 Material-recording and transport clerks
4131 Stock clerks
4132 Production clerks
4133 Transport clerks
4140 Library, mail and related clerks
4141 Library and filing clerks
4142 Mail carriers and sorting clerks
4143 Coding, proof-reading and related clerks
4144 Scribes and related workers
4190 Other office clerks
4200 Customer services clerks
4210 Cashiers, tellers and related clerks
4211 Cashiers and ticket clerks
4212 Tellers and other counter clerks
4213 Bookmakers and croupiers
4214 Pawnbrokers and money-lenders
4215 Debt-collectors and related workers
4220 Client information clerks
4221 Travel agency and related clerks
4222 Receptionists and information clerks
4223 Telephone switchboard operators
4300 Office helping workers
4400 Post office, higher civil service
4500 Railway official, higher civil service
5000 Personal service, sale
5100 Personal and protective services workers
5110 Travel attendants and related workers
5111 Travel attendants and travel stewards
5112 Transport conductors
5113 Travel guides
5120 Housekeeping and restaurant services workers
5121 Housekeepers and related workers
5122 Cooks
5123 Waiters, waitresses and bartenders
5130 Personal care and related workers
5131 Child care workers
5132 Institution-based personal care workers
5133 Home-based personal care workers
5139 Personal care and related workers not elsewhere classified
5140 Other personal services workers
5141 Hairdressers, barbers, beauticians and related workers
5142 Companions and valets
5143 Undertakers and embalmers
5149 Other personal services workers not elsewhere classified
5150 Astrologers, fortune-tellers and related workers
5151 Astrologers and related workers
5152 Fortune-tellers, palmists and related workers
5160 Protective services workers
5161 Fire-fighters
5162 Police officers
5163 Prison guards
5169 Protective services workers not elsewhere classified
5200 Models, salespersons and demonstrators
5210 Fashion and other models
5220 Shop salespersons and demonstrators
5222 Door-to-door and telephone salesmen
5230 Stall and market salespersons
6000 Skilled agricultural and fishery workers
6100 Market-oriented skilled agricultural and fishery workers
6110 Market gardeners and crop growers
6111 Field crop and vegetable growers
6112 Tree and shrub crop growers
6113 Gardeners, horticultural and nursery growers
6114 Mixed-crop growers
6120 Market-oriented animal producers and related workers
6121 Dairy and livestock producers
6122 Poultry producers
6123 Apiarists and sericulturists
6124 Mixed animal producers
6129 Market-oriented animal producers and related workers not elsewhere classified
6130 Market-oriented crop animal producer
6140 Forestry and related worker
6141 Forestry workers and loggers
6142 Charcoal burners and related workers
6150 Fishery workers, hunters and trappers
6151 Aquatic-life cultivation workers
6152 Inland and coastal waters fishery workers
6153 Deep-sea fishery workers
6154 Hunters and trappers
6200 Subsistence agricultural and fishery workers
6210 Subsistence agricultural and fishery workers
7000 Craft and trade workers
7100 Extraction and building trades worker
7110 Miners, shot firers, stone cutters and carvers
7111 Miners and quarry workers
7112 Shot firers and blasters
7113 Stone splitters, cutters and carvers
7120 Building frame and related trades workers
7121 Builders, traditional materials
7122 Bricklayers and stonemasons
7123 Concrete placers, concrete finishers and related workers
7124 Carpenters and joiners
7126 Carpenters
7129 Building frame and related trades workers not elsewhere classified
7130 Building finishers and related trades workers
7131 Roofers
7132 Floor layers and tile setters
7133 Plasterers
7134 Insulation workers
7135 Glaziers
7136 Plumbers and pipe fitters
7137 Building and related electricians
7139 Building finishers and related trade workers
7140 Painters, building structure cleaners and related trades workers
7141 Painters and related workers
7142 Varnishes and related painters
7143 Building structure cleaners
7200 Metal, machinery and related trades workers
7210 Metal moulders, welders, sheet-metal workers, structural metal preparers and related trades workers
7211 Metal moulders and core makers
7212 Welders and flame cutters
7213 Sheet-metal workers
7214 Structural-metal preparers and erectors
7215 Riggers and cable splices
7216 Underwater workers
7220 Blacksmiths, tool-makers and related trades workers
7221 Blacksmiths, hammer-smiths and forging-press workers
7222 Tool-makers and related workers
7223 Machine-tool setters and setter-operators
7224 Metal wheel-grinders, polishers and tool sharpeners
7230 Machinery mechanics and fitters
7231 Motor vehicle mechanics and fitters
7232 Aircraft engine mechanics and fitters
7233 Agricultural- or industrial-machinery mechanics and fitters
7240 Electrical and electronic equipment mechanics and fitters
7241 Electrical mechanics and fitters
7242 Electronics fitters
7243 Electronics mechanics and service
7244 Telegraph and telephone installers and service
7245 Electrical line installers, repairers and cable jointers
7300 Precision, handicraft, printing and related trades workers
7310 Precision workers in metal and related materials
7311 Precision-instrument makers and repairers
7312 Musical instrument makers and tuners
7313 Jewellery and precious-metal workers
7320 Potters, glass-makers and related trades workers
7321 Abrasive wheel formers, potters and related workers
7322 Glass-makers, cutters, grinders and finishers
7323 Glass engravers and etchers
7324 Glass, ceramics and related decorative painters
7330 Handicraft workers in wood, textile, leather and related materials
7331 Handicraft workers in wood and related materials
7332 Handicraft workers in textile, leather and related materials
7340 Printing and related trades workers
7341 Compositors, typesetters and related workers
7342 Stereotypers and electrotypers
7343 Printing engravers and etchers
7344 Photographic and related workers
7345 Bookbinders and related workers
7346 Silk-screen, block and textile printers
7400 Other craft and related trades workers
7410 Food processing and related trades workers
7411 Butchers, fishmongers and related food preparers
7412 Bakers, pastry-cooks and confectionary makers
7413 Dairy-products makers
7414 Fruit, vegetable and related preservers
7415 Food and beverage tasters and graders
7416 Tobacco preparers and tobacco product makers
7420 Wood treaters, cabinet-makers and related trades workers
7421 Wood treaters
7422 Cabinet-makers and related workers
7423 Woodworking machine setters and setter operators
7424 Basketry weavers, brush makers and related workers
7430 Textile, garment and related trades workers
7431 Fibre preparers
7432 Weavers, knitters and related workers
7433 Tailors, dressmakers and hatters
7434 Furriers and related workers
7435 Textile, leather and related pattern-makers and cutters
7436 Sewers, embroiderers and related workers
7437 Upholsterers and related workers
7440 Pelt, leather and shoemaking trades workers
7441 Pelt dressers, tanners and fellmongers
7442 Shoe-makers and related workers
7500 Metal worker general
7510 Metal worker nec, non farm foremen nec
7520 Electronics engineers nec, skilled manual nec
7900 Master craftsmen, supervisors
8000 Plant and machine operators and assemblers
8100 Stationary-plant and related operators
8110 Mining- and mineral-processing-plant operators
8111 Mining-plant operators
8112 Mineral-ore and stone-processing-plant operators
8113 Well drillers and borers and related workers
8120 Metal-processing-plant operators
8121 Ore ad metal furnace operators
8122 Metal melters, casters and rolling-mill operators
8123 Metal-heat-treating-plant operators
8124 Metal drawers and extruders
8130 Glass, ceramics and related plant operators
8131 Glass, ceramics kiln and related machine operators
8139 Glass, ceramics and related plant operators not elsewhere classified
8140 Wood-processing- and papermaking-plant operators
8141 Wood-processing-plant operators
8142 Paper-pulp plant operators
8143 Papermaking-plant operators
8150 Chemical-processing-plant operators
8151 Crushing-, grinding- and chemical mixing-machinery operators
8152 Chemical-heat-treating-plant operators
8153 Chemical-filtering- and separating-equipment operators
8154 Chemical-still and reactor operators (except petroleum and natural gas)
8155 Petroleum and natural-gas-refining-plant operators
8159 Chemical-processing-plant operators not elsewhere classified
8160 Power-production and related plant operators
8161 Power-production plant operators
8162 Steam-engine and boiler operators
8163 Incinerator, water-treatment and related operators
8170 Automated-assembly-line and industrial-robot operators
8171 Automated-assembly-line operators
8172 Industrial-robot operators
8200 Machine operators and assemblers
8210 Metal- and mineral-products machine operators
8211 Machine-tool operators
8212 Cement and other mineral products machine operators
8220 Chemical-products machine operators
8221 Pharmaceutical- and toiletry-products machine operators
8222 Ammunition products machine operators
8223 Metal finishing-, plating and coating-machine operators
8224 Photographic-products machine operators
8229 Chemical-products machine operators not elsewhere classified
8230 Rubber- and plastic-products machine operators
8231 Rubber-products machine operators
8232 Plastic-products machine operators
8240 Wood-products machine operators
8250 Printing-, binding- and paper-products machine operators
8251 Printing-machine operators
8252 Bookbinding-machine operators
8253 Paper-products machine operators
8260 Textile, fur- and leather-products machine operators
8261 Fibre-preparing-, spinning- and winding-machine operators
8262 Weaving- and knitting-machine operators
8263 Sewing-machine operators
8264 Bleaching-, dyeing- and cleaning-machine operators
8265 Fur- and leather-preparing-machine operators
8266 Shoemaking- and related machine operators
8269 Textile-, fur- and leather-products machine operators not elsewhere classified
8270 Food and related products machine operators
8271 Meat- and fish-processing-machine operators
8272 Dairy-products machine operators
8273 Grain- and spice-milling-machine operators
8274 Baked-goods, cereal and chocolate-products machine operators
8275 Fruit-, vegetable- and nut-processing-machine operators
8276 Sugar production machine operators
8277 Tea-, coffee- and cocoa-processing-machine operators
8278 Beverage machine operators
8279 Tobacco production machine operators
8280 Assemblers
8281 Mechanical-machinery assemblers
8282 Electrical-equipment assemblers
8283 Electronic-equipment assemblers
8284 Metal-, rubber- and plastic-products assemblers
8285 Wood and related products assemblers
8286 Paperboard, textile and related products assemblers
8287 Composite products assemblers
8290 Other machine operators and assemblers
8300 Drivers and mobile-plant operators
8310 Locomotive-engine drivers and related workers
8311 Locomotive-engine drivers
8312 Railway brakers, signallers and shunters
8320 Motor-vehicle drivers
8321 Motor-cycle drivers
8322 Car, taxi and van drivers
8323 Bus and tram drivers
8324 Heavy truck and lorry drivers
8330 Agricultural and other mobile-plant operators
8331 Motorised farm and forestry plant operators
8332 Motorised farm and forestry plant operators
8333 Crane, hoist and related plant operators
8334 Lifting-truck operators
8340 Ships deck crews and related workers
9000 Elementary occupations
9100 Sales and services elementary occupations
9110 Street vendors and related workers
9111 Street food vendors
9112 Street vendors, non-food products
9113 Door-to-door, telephone salesperson
9120 Shoe cleaning and other street services elementary occupations
9130 Domestic and related helpers, cleaners and launderers
9131 Domestic helpers and cleaners
9132 Helpers and cleaners in offices, hotels and other establishments
9133 Hand-launderers and pressers
9140 Building caretakers, window and related cleaners
9141 Building caretakers
9142 Vehicle, window and related cleaners
9150 Messengers, porters, doorkeepers and related workers
9151 Messengers, package and luggage porters and deliverers
9152 Doorkeepers, watchpersons and related workers
9153 Vending-machine money collectors, meter readers and related workers
9160 Garbage collectors and related labourers
9161 Garbage collectors
9162 Sweepers and related labourers
9200 Agricultural, fishery and related labourers
9210 Agricultural, fishery and related labourers
9211 Farm-hands and labourers
9212 Forestry labourers
9213 Fishery, hunting and trapping labourers
9300 Labourers in mining, construction, manufacturing and transport
9310 Mining and construction labourers
9311 Mining and quarrying labourers
9312 Construction and maintenance labourers: roads, dams and similar constructions
9313 Building construction labourers
9320 Manufacturing labourers
9321 Assembling labourers
9322 Hand packers and other manufacturing labourers
9330 Transport labourers and freight handlers
9331 Hand or pedal vehicle drivers
9332 Drivers of animal-drawn vehicles and machinery
9333 Freight handlers
9996 Not classifiable; inadequately described
9997 Refused
9998 Don't know
9999 No answer


Range of Valid Data Values: 100- 9333

Range of Invalid Data Values: 9996- 99990

Summary Statistics: Valid 23544 ; Min. 100 ; Max. 9333

Variable Format: numeric


SPWRKTYP: S-P:Workg f priv,pub sector,self-empl.

Location:

Width: 1

Question: Spouse/partner: Does she/he work in the public sector at present or has she/he ever worked in the public sector before? In her/his main job, is (was) she/he an employee or self-employed?

AU: Who does (or did) your partner work for in their main job?
CH: Do/did your partner work in the public or private sector or is/was he/she self-employed?
CL: Please choose one of the following alternatives, regarding whether your spouse or partner work in the public or private sector.
CZ: 'Does/did your partner works' and 'Partner' s current economic status'.
CY: Private or public sector of spouse/partner.
DE: Constructed from partner's current occupational status, partner's employment status/ employment in public sector.
DO: Is your spouse or life partner a public or private employee?
FI: Is/was the employer of your spouse the state, a municipality, a state-owned enterprise or a private enterprise?
HR: Where does your (legal) partner work?
IE: Does/did your spouse/partner work in the public or private sector or are/were they self employed?
KR: Is your spouse employed by the government, a publicly owned firm, a private firm, or a non-profit organization?
LV: Does your spouse/partner work in public or private sector?
MX: Type of institution where his/her partner works (or last worked).
NO: In which firm/organisation does your spouse/partner work?
SK: Does your spouse/partner currently work in: (if your spouse/partner is not employed at the moment, where did she/he work in her/his last job?)
TW: What is/was your spouse's/partner's occupation? Is/was she/he self-employed or employed?
UY: Please choose one of the following options, depending on if your husband/wife or partner works/worked in the public or private sector.
ZA: Who is your spouse's or partner’s employer?



0 NAP, no partner, never had a job, not in paid work; not available
1 Work f government
2 Public owned firm,nat.ind
3 Private firm, others
4 Self employed
6 GB: Other, charity, voluntary sector
9 No answer, don't know


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 09

Summary Statistics: Valid 22741 ; Min. 1 ; Max. 6

Variable Format: numeric


AR_RINC: R: Earnings: Argentina

Location:

Width: 6

Question: AR_RINC - Argentina: Earnings of Respondent

I would like that you tell me now your net or pocket monthly family income, including food stamps, commissions, tips, retirement or pension funds (social security funds), alimony, rents, interests or dividends, and any other income.
Try to indicate a global sum of your pocket incomes:



0 No own income, not in paid work
50 50 ARS
40000 40000 ARS
999990 NAP, other countries
999998 Don't know

Note:
If respondent does not inform personal income, we ask a class income question (a letter had to be chosen).
(By fieldwork time, 3 pesos = 1 dollar)


Range of Valid Data Values: 50- 40000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1162 ; Min. 50 ; Max. 40000

Variable Format: numeric


AT_RINC: R: Earnings: Austria

Location:

Width: 6

Question: AT_RINC - Austria: Earnings of Respondent

How much approximately is your personal monthly net income (after taxation and deduction of social security fees)?

Personal monthly net income after taxes in EUR (midpoints)


0 No income
150 Up to 300 EUR
450 301 to 600 EUR
750 601 to 900 EUR
1050 901 to 1.200 EUR
1350 1.201 to 1.500 EUR
1650 1.501 to 1.800 EUR
1950 1.801 to 2.100 EUR
2300 2.101 to 2.500 EUR
2750 2.501 to 3.000 EUR
3500 3.001 to 4.000 EUR
4500 4.000 EUR and more
999990 NAP, other countries
999998 Don't know
999999 No answer


Range of Valid Data Values: 150- 4500

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 784 ; Min. 150 ; Max. 4500

Variable Format: numeric


AU_RINC: R: Earnings: Australia

Location:

Width: 6

Question: AU_RINC - Australia: Earnings of Respondent

What is your personal gross annual income, before tax or other deductions, from all sources? Please include any pensions and allowances, and income from interest or dividends.



0 No income
3120 1 - 6.239 AUD pa
7280 6.240 - 8.319 AUD pa
9360 8.320 - 10.399 AUD pa
13000 10.400 - 15.599 AUD pa
18200 15.600 - 20.799 AUD pa
23400 20.800 - 25.999 AUD pa
28600 26.000 - 31.199 AUD pa
33800 31.200 - 36.399 AUD pa
39000 36.400 - 41.599 AUD pa
46800 41.600 - 51.999 AUD pa
65000 52.000 - 77.999 AUD pa
91000 78.000 - 103.999 AUD pa
104000 104.000 AUD or more pa
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Yearly income in Australian Dollar; midpoints of the class categories are coded

Range of Valid Data Values: 3120- 104000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 2406 ; Min. 3120 ; Max. 104000

Variable Format: numeric


BG_RINC: R: Earnings: Bulgaria

Location:

Width: 6

Question: BG_RINC - Bulgaria: Earnings of Respondent

Exact personal monthly income in Bulgarian Lewa


0 No income
999990 NAP, other countries
999999 No answer


Range of Valid Data Values: 8- 8000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 607 ; Min. 8 ; Max. 8000

Variable Format: numeric


CH_RINC: R: Earnings: Switzerland

Location:

Width: 6

Question: CH_RINC - Switzerland: Earnings
of Respondent

We also would like to have some information on the income of the households to analyze the results of this study according to different types of households.
(Open ended):
If the respondent actually has a paid job: May I ask you how much is the total of your personal monthly net income, i.e. the sum that it remains you after deduction of the contributions of the Social Security (AVS etc) but before deduction of the taxes?
All others:
May I ask you what is the sum of eventual pensions, annuity, unemployment benefit, grant or other financial support that you personally receive each month?
(Categories):
If the respondent actually has a paid job:
Would you accept to tell me the approximate amount of your monthly net income?
All others:
Would you accept to tell me the approximate amount of that sum?

(We want to know, what an amount appears each month on the account! i.e. the sum of all the incomes of occupation, annuity, pension, unemployment benefit, grant or other supports (but not incomes of capital). The net income of foreigner is estimated after to have deducted of the tax to the source. Indicate the amount)



0 No own income, not in paid work
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer


Range of Valid Data Values: 150- 19000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 759 ; Min. 150 ; Max. 19000

Variable Format: numeric


CL_RINC: R: Earnings: Chile

Location:

Width: 7

Question: CL_RINC - Chile: Personal income

From the following list of monthly income, could you tell me in which one does your personal income fits, considering all net income coming from salaries, pensions, family help, etc.?



0 No own income, not in paid work
20 Less than 35.000 CLP per month
45 35.001-56.000 CLP
66 56.001-78.000 CLP
90 78.001-101.000 CLP
122 101.001-134.000 CLP
155 134.001-179.000 CLP
200 179.001-224.000 CLP
250 224.001-291.000 CLP
310 291.001-358.000 CLP
400 358.001-448.000 CLP
750 448.001-1.000.000 CLP
1500 1.000.001-2.000.000 CLP
2500 2.000.001-3.000.000 CLP
3100 More than 3.000.000 CLP per month
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Monthly net income in thousand Chilean Pesos; class midpoints of the income categories are recoded.

Range of Valid Data Values: 20- 3100

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1128 ; Min. 20 ; Max. 3100

Variable Format: numeric


CY_RINC: R: Earnings: Cyprus

Location:

Width: 6

Question: CY_RINC - Cyprus: Earnings of Respondent

What is approximately your personal gross income?


0 No own income, not in paid work
50 0-100 CYP
150 101-200 CYP
250 201-300 CYP
350 301-400 CYP
450 401-500 CYP
550 501-600 CYP
700 601-800 CYP
900 801-1000 CYP
1100 1001-1200 CYP
1300 More than 1200 CYP
999990 NAP, other countries
999998 Don't know

Note:
Class midpoints of the income categories are recoded.

Range of Valid Data Values: 50- 1300

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 817 ; Min. 50 ; Max. 1300

Variable Format: numeric


CZ_RINC: R: Earnings: Czech Republic

Location:

Width: 6

Question: CZ_RINC - Czech Republic: Earnings of Respondent

What is your personal average net income per month in total? If you have, please include your average net income in your job or business, your average net income from additional money providing activities or property (additional employment or business, rents from property, incomes from shares, etc.) and average social income per month (unemployment benefits, maternal benefits, allowances, rents, etc.). Do not count child allowances.

Total average net income of respondent per month in CZK. Income asked in categories, i.e. midpoints of categories are coded.



0 No own income, not in paid work
3000 1-5.999 CZK
7000 6.000-7.999 CZK
9000 8.000-9.999 CZK
11000 10.000-11.999 CZK
13000 12.000-13.999 CZK
15000 14.000-15.999 CZK
17000 16.000-17.999 CZK
19000 18.000-19.999 CZK
21000 20.000-21.999 CZK
23000 22.000-23.999 CZK
25000 24.000-25.999 CZK
28000 26.000-29.999 CZK
32500 30.000-34.999 CZK
37500 35.000-39.999 CZK
45000 40.000-49.999 CZK
55000 50.000-59.999 CZK
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer


Range of Valid Data Values: 3000- 55000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 771 ; Min. 3000 ; Max. 55000

Variable Format: numeric


DE_RINC: R: Earnings: Germany

Location:

Width: 6

Question: DE_RINC - Germany: Earnings of Respondent

How high is your own net monthly income? By this I mean the amount remaining after deducations for tax and social security contributions.


0 No income, not in paid work
999990 NAP, other countries
999997 Refused
999999 No answer

Note:
'Respondent Earnings' taken from ALLBUS 2008 personal income; if respondent refused to answer open ended question then income categories prompted. Alphabet letter and answer categories randomly assigned; continuous and categorial variable coded into one; if categorial question answered then mean coded.

Range of Valid Data Values: 1- 7500

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1380 ; Min. 1 ; Max. 7500

Variable Format: numeric


DO_RINC: R: Earnings: Dominican Republic

Location:

Width: 6

Question: DO_RINC - Dominican Republic: Earnings of Respondent

Could you tell me in which of these categories does your monthly personal net income (after tax deduction) fit into at this moment?
(I am not asking about the exact amount, just that you point me to the direct category in which the total monthly income of the family is (SHOW INCOME CARD))



0 No own income, not in paid work
4000 Less than 5.000 DOP
10500 5.000-15.999 DOP
21500 16.000-26.999 DOP
32500 27.000-37.999 DOP
43500 38.000-48.999 DOP
54500 49.000-59.999 DOP
65000 60.000-69.999 DOP
75000 70.000-79.999 DOP
85000 80.000-89.999 DOP
95000 90.000 DOP and more
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Monthly net income in Dominican Pesos; midpoints of the income classes are coded.

Range of Valid Data Values: 4000- 95000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 2000 ; Min. 4000 ; Max. 95000

Variable Format: numeric


FI_RINC: R: Earnings: Finland

Location:

Width: 6

Question: FI_RINC - Finland: Earnings of Respondent

What is your own average monthly income before taxes (= gross income)?



0 No own income, not in paid work
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Monthly income in European currency (EUR); unclassified numerical income values.

Range of Valid Data Values: 2- 44000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1153 ; Min. 2 ; Max. 44000

Variable Format: numeric


FLA_RINC: R: Earnings: Flanders

Location:

Width: 6

Question: FLA_RINC - Flanders: Earnings of Respondent

It is important that we can get an accurate picture of your income. We make a difference between your personal income and the income of your household. Do you have a personal income through a job, a pension, unemployment benefit, sickness benefit, job as a student, income from capital, from real estates or other incomes?
By personal net monthly income we mean the total sum of your personal earnings, after tax deduction, everything included such as salary, meal tickets, retirement pay or other incomes from capital or real estates ...
Is your personal monthly net income higher than 2.000 euro or 80000 Belgian francs?
When you take a look at the categories on card 20, in which category do you place your net monthly income?




0 No income, not in paid work
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer


Range of Valid Data Values: 250- 6700

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1034 ; Min. 250 ; Max. 6700

Variable Format: numeric


FR_RINC: R: Earnings: France

Location:

Width: 6

Question: FR_RINC - France: Earnings of Respondent

By means of the list below, can you say to me what is the amount of your professional monthly income, that is what you get effectively every month because of your professional activity?



0 No own income,not in paid work
305 305 EUR
610 610 EUR
915 915 EUR
1296 1.296 EUR
1906 1.906 EUR
2668 2.668 EUR
3430 3.430 EUR
4192 4.192 EUR
5335 5.335 EUR
6860 6.860 EUR
9909 9.909 EUR
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Monthly income in European currency (EUR); according to the ISSP standardization, categories are coded into midpoints of the classes.


Range of Valid Data Values: 305- 9909

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1569 ; Min. 305 ; Max. 9909

Variable Format: numeric


GB_RINC: R: Earnings: Great Britain

Location:

Width: 6

Question: GB_RINC - Great Britain: Earnings of Respondent

Which of the letters on this card represents your own gross or total earnings, before deduction of income tax and national insurance (includes income from benefits, savings, etc.)?


0 No own income, not in paid work
2000 Up to 3.999 GBP
5000 4.000 - 5.999 GBP
7000 6.000 - 7.999 GBP
9000 8.000 - 9.999 GBP
11000 10.000 - 11.999 GBP
13500 12.000 - 14.999 GBP
16500 15.000 - 17.999 GBP
19000 18.000 - 19.999 GBP
21500 20.000 - 22.999 GBP
24500 23.000 - 25.999 GBP
27500 26.000 - 28.999 GBP
30500 29.000 - 31.999 GBP
35000 32.000 - 37.999 GBP
41000 38.000 - 43.999 GBP
47000 44.000 - 49.999 GBP
53000 50.000 - 55.999 GBP
59000 56.000 GBP or more
999990 NAP, other countries
999997 Refused
999998 Don't know

Note:
Total earnings before tax in British Pounds; midpoints of the income categories are coded.

Range of Valid Data Values: 2000- 59000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 446 ; Min. 2000 ; Max. 59000

Variable Format: numeric


HR_RINC: R: Earnings: Croatia

Location:

Width: 6

Question: HR_RINC - Croatia: Earnings of Respondent

If you have regular monthly income, how much does your monthly net income amount, including wage, pensions, insurance income, income from rents, honorariums and all other sources of income?



150 150 HRK
50000 50.000 HRK
999990 NAP, other countries
999998 Don't know
999999 No answer


Range of Valid Data Values: 150- 50000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 740 ; Min. 150 ; Max. 50000

Variable Format: numeric


HU_RINC: R: Earnings: Hungary

Location:

Width: 6

Question: HU_RINC - Hungary: Earnings of Respondent

Net income per month in Hungarian Forint (HUF).


0 No income, not in paid work
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer


Range of Valid Data Values: 11000- 400000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 843 ; Min. 11000 ; Max. 400000

Variable Format: numeric


IE_RINC: R: Earnings: Ireland

Location:

Width: 6

Question: IE_RINC - Ireland: Earnings of Respondent

And which group does your own gross income fall into, again before taxes and other deductions? Tick in column (2) the letter of the group your personal income falls into.


0 No own income, not in paid work
5000 Under 6.000 EUR per year
7750 6.000-9.500 EUR
10750 9.500-12.000 EUR
15000 12.000-18.000 EUR
21000 18.000-24.000 EUR
27000 24.000-30.000 EUR
33000 30.000-36.000 EUR
48000 36.000-60.000 EUR
75000 60.000-90.000 EUR
105000 90.000-120.000 EUR
170000 160.000 EUR and more per year
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Yearly income in Euro, midpoints of categories for intermediate amounts.

Range of Valid Data Values: 5000- 170000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1102 ; Min. 5000 ; Max. 170000

Variable Format: numeric


IL_RINC: R: Earnings: Israel

Location:

Width: 6

Question: IL_RINC - Israel: Earnings of Respondent

Net income per month in New Israeli Shekel



0 No own income, not in paid work
1000 2000 ILS and less
3000 2.001-4.000 ILS
5000 4.001-6.000 ILS
7000 6.001-8.000 ILS
9000 8.001-10.000 ILS
13000 10.001-15.000 ILS
15500 More than 15.000 ILS
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer


Range of Valid Data Values: 1000- 15500

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 650 ; Min. 1000 ; Max. 15500

Variable Format: numeric


JP_RINC: R: Earnings: Japan

Location:

Width: 6

Question: JP_RINC - Japan: Earnings of Respondent

What amount of income did you earn last year, inclusive of tax, casual and part-time income?



0 No own income, not in paid work
500 Less than 1.000.000 JPY per year
1500 1.000.000-1.999.999 JPY
2500 2.000.000-2.999.999 JPY
3500 3.000.000-3.999.999 JPY
4500 4.000.000-4.999.999 JPY
5500 5.000.000-5.999.999 JPY
6500 6.000.000-6.999.999 JPY
7500 7.000.000-7.999.999 JPY
8500 8.000.000-8.999.999 JPY
9500 9.000.000-9.999.999 JPY
11000 10.000.000-11.999.999 JPY
13500 12.000.000-14.999.999 JPY
20000 15.000.000 JPY and more per year
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Yearly income in thousand Japanese Yen; midpoints of the income classes.

Range of Valid Data Values: 500- 20000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 979 ; Min. 500 ; Max. 20000

Variable Format: numeric


KR_RINC: R: Earnings: South Korea

Location:

Width: 6

Question: KR_RINC - South Korea: Earnings of Respondent

Before taxes and other deductions, what is your total monthly average income from this job? This includes your base pay, bonuses, and other allowances.



0 No income
6 60.000 KRW
3000 30.000.000 KRW
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Monthly average income in 10.000 Korean Won; for 2007, income is coded both in actual amount as well as in categories.

Range of Valid Data Values: 6- 3000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 781 ; Min. 6 ; Max. 3000

Variable Format: numeric


LV_RINC: R: Earnings: Latvia

Location:

Width: 6

Question: LV_RINC - Latvia: Earnings of Respondent

What were your personal earnings after deductions last month - salaries, stipends, benefits, pensions, rent for your ownership etc.?



0 No income
999990 NAP, other countries
999998 Don't know
999999 No answer

Note:
Monthly net income in Latvian Lats; actual amount of income.

Range of Valid Data Values: 6- 2000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 750 ; Min. 6 ; Max. 2000

Variable Format: numeric


MX_RINC: R: Earnings: Mexico

Location:

Width: 6

Question: MX_RINC - Mexico: Earnings of Respondent

Monthly net income in Mexican Peso (MXN)



0 No income
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer


Range of Valid Data Values: 500- 40000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 722 ; Min. 500 ; Max. 40000

Variable Format: numeric


NO_RINC: R: Earnings: Norway

Location:

Width: 6

Question: NO_RINC - Norway: Earnings of Repsondent

About how large is your own yearly gross income?
Include pensions, social security benefits, incidental earnings or similar. Round to nearest 1000 Norwegian Kroner.



0 No income
5 5.000 NOK
30000 30.000.000 NOK
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Yearly income in 1000 Norwegian Kroner; actual continuous income values are coded.

Range of Valid Data Values: 5- 30000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1018 ; Min. 5 ; Max. 30000

Variable Format: numeric


NZ_RINC: R: Earnings: New Zealand

Location:

Width: 6

Question: NZ_RINC - New Zealand: Earnings of Respondent

Which of the following categories best describes your own yearly income from all sources before tax?



0 No own income, not in paid work
5000 10.000 NZD or less per year
12500 10.001-15.000 NZD
17500 15.001-20.000 NZD
22500 20.001-25. 000 NZD
27500 25.001-30.000 NZD
35000 30.001-40.000 NZD
45000 40.001-50.000 NZD
60000 50.001-70.000 NZD
85000 70.001-100.000 NZD
120000 100.001 NZD or more
999990 NAP, other countries
999997 Refused
999998 Dont know
999999 No answer

Note:
Income categories were converted to average values.


Range of Valid Data Values: 5000- 120000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 945 ; Min. 5000 ; Max. 120000

Variable Format: numeric


PH_RINC: R: Earnings: Philippines

Location:

Width: 6

Question: PH_RINC - Philippines: Earnings of Respondent

And about how much is your own monthly income?



0 No income
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Actual amount of income in Philippines Pesos.

Range of Valid Data Values: 150- 90000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 711 ; Min. 150 ; Max. 90000

Variable Format: numeric


PL_RINC: R: Earnings: Poland

Location:

Width: 6

Question: PL_RINC - Poland: Earnings of Respondent

(Only for people currently working)
Taking into consideration last 12 months, please tell me your household total monthly income from all sources. Please calculate and tell me the monthly average after taxes.



0 No income, not in labour force
999990 NAP, other countries
999997 Refused
999998 Don' t know
999999 No answer

Note:
Actual continuous income values in Polish Zloty (PLN)


Range of Valid Data Values: 200- 10000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 513 ; Min. 200 ; Max. 10000

Variable Format: numeric


RU_RINC: R: Earnings: Russia

Location:

Width: 6

Question: RU_RINC - Russia: Earnings of Respondent

(Only for those who are in labour force)
What was your total income last month from all sources in Russian Roubles?



0 No income
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Actual continuous income values in Russian Roubles (RUB)

Range of Valid Data Values: 800- 105000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 919 ; Min. 800 ; Max. 105000

Variable Format: numeric


SE_RINC: R: Earnings: Sweden

Location:

Width: 6

Question: SE_RINC - Sweden: Earnings of Respondent

What is your approximate monthly income before taxes? (in Swedish Crowns SEK)



0 No income
999990 NAP, other countries
999998 Don't know
999999 No answer

Note:
Monthly pre-tax income in Swedish Krona; actual income values are coded.

Range of Valid Data Values: 1000- 220000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1130 ; Min. 1000 ; Max. 220000

Variable Format: numeric


SI_RINC: R: Earnings: Slovenia

Location:

Width: 6

Question: SI_RINC - Slovenia: Earnings of Respondent

Do you have any monthly income? (If yes) What was your last regular monthly income (after tax deduction, obligatory social security payment and other deductions)? Calculate all kinds of incomes: personal income, pension, scholarship, income from trade, farming ...



0 No income, not in paid work
10 10.000 SIT
105 105.000 SIT
999990 NAP, other countries
999998 Don't know
999999 No answer

Note:
Exact monthly net income in thousand Slovenian Tolar

Range of Valid Data Values: 10- 631

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 597 ; Min. 10 ; Max. 631

Variable Format: numeric


SK_RINC: R: Earnings: Slovak Republic

Location:

Width: 6

Question: SK_RINC - Slovakia: Earnings of Respondent

Now we would like to ask you about your income. What is your current personal net income per month including wage, pension, value of the luncheon vouchers and all other benefits and allowances? From the following list, please, choose the option that mostly represents the size of your net personal incomes.


0 No own income, not in paid work
1500 Up to 3.000 SKK
3750 3.001-4.500 SKK
5500 4.501-6.500 SKK
8000 6.501-9.500 SKK
11500 9.501-13.500 SKK
15500 13.501-17.500 SKK
20250 17.501-23.000 SKK
26500 23.001-30.000 SKK
37500 30.001-45.000 SKK
52500 45.001 SKK and more
999990 NAP, other countries
999998 Don't know
999999 No answer

Note:
Midpoints of the income categories in Slovak Crowns.

Range of Valid Data Values: 1500- 52500

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 937 ; Min. 1500 ; Max. 52500

Variable Format: numeric


TW_RINC: R: Earnings: Taiwan

Location:

Width: 6

Question: TW_RINC - Taiwan: Respondents Earnings

What is your average monthly income (e.g., salary, bonus, overtime compensation, business income, private business income etc.)?



0 No own income, not in paid work
5000 Less than 10.000 TWD
15000 10.001-20.000 TWD
25000 20.001-30.000 TWD
35000 30.001-40.000 TWD
45000 40.001-50.000 TWD
55000 50.001-60.000 TWD
65000 60.001-70.000 TWD
75000 70.001-80.000 TWD
85000 80.001-90.000 TWD
95000 90.001-100.000 TWD
105000 100.001-110.000 TWD
115000 110.001-120.000 TWD
125000 120.001-130.000 TWD
135000 130.001-140.000 TWD
145000 140.001-150.000 TWD
155000 150.001-160.000 TWD
165000 160.001-170.000 TWD
175000 170.001-180.000 TWD
185000 180.001-190.000 TWD
195000 190.001-200.000 TWD
250000 200.001-300.000 TWD
450000 More than 300.000 TWD
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Average monthly income in Taiwanese Dollar; midpoints of the income categories were coded.

Range of Valid Data Values: 5000- 450000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1899 ; Min. 5000 ; Max. 450000

Variable Format: numeric


US_RINC: R: Earnings: USA

Location:

Width: 6

Question: US_RINC - United States: Earnings of Respondent

Did you earn any income from the job you worked in 2006?
In which of these groups did your earnings from the job you worked, from all sources for 2006 fall? That is, before taxes or other deductions. Just tell me the letter.


500 Under 1.000 USD per year
2000 1.000-2.999 USD
3500 3.000-3.999 USD
4500 4.000-4.999 USD
5500 5.000-5.999 USD
6500 6.000-6.999 USD
7500 7.000-7.999 USD
9000 8.000-9.999 USD
11250 10.000-12.499 USD
13750 12.500-14.999 USD
16750 15.000-17.499 USD
18750 17.500-19.999 USD
21750 20.000-22.499 USD
23750 22.500-24.999 USD
27500 25.000-29.999 USD
32500 30.000-34.999 USD
37500 35.000-39.999 USD
45000 40.000-49.999 USD
55000 50.000-59.999 USD
67500 60.000-74.999 USD
82500 75.000-89.999 USD
100000 90.000-109.999 USD
120000 110.000-129.999 USD
140000 130.000-149.999 USD
150000 150.000 USD or over per year
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Yearly income before taxes in US Dollar; midpoints of the income categories were coded.

Range of Valid Data Values: 500- 150000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 920 ; Min. 500 ; Max. 150000

Variable Format: numeric


UY_RINC: R: Earnings: Uruguay

Location:

Width: 6

Question: UY_RINC - Uruguay: Earnings of Respondent

Looking at the card, could you please tell me the number that corresponds to your gross monthly income, after tax or other deductions, from all sources? Please include any pensions and allowances, and income from interests or dividends, as well as help from family and friends, rents and others.



0 No income
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Monthly net income in Uruguayan Pesos

Range of Valid Data Values: 150- 170000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1246 ; Min. 150 ; Max. 170000

Variable Format: numeric


ZA_RINC: R: Earnings: South Africa

Location:

Width: 6

Question: ZA_RINC - South Africa: Earnings of Respondent

Please give me the letter that best describes your TOTAL MONTHLY INCOME before tax and other deductions. Please indicate all sources of income, i.e. salaries, pensions, income from investments, etc.



0 No own income, not in paid work
250 500 ZAR per month and less
625 501-750 ZAR
875 751-1.000 ZAR
1250 1.001-1.500 ZAR
1750 1.501-2.000 ZAR
2500 2.001-3.000 ZAR
4000 3.001-5.000 ZAR
6250 5.001-7.500 ZAR
8750 7.501-10.000 ZAR
12500 10.001-15.000 ZAR
17500 15.001-20.000 ZAR
25000 20.001-30.000 ZAR
40000 30.001-50.000 ZAR
60000 50.001 ZAR and more
999990 NAP, other countries
999997 Refuse to answer
999998 Uncertain or Don’t know
999999 No answer

Note:
Monthly income before tax in Rand; midpoints of the income classes were coded.

Range of Valid Data Values: 250- 60000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1722 ; Min. 250 ; Max. 60000

Variable Format: numeric


AR_INC: Family income: Argentina

Location:

Width: 6

Question: AR_INC - Argentina: Family income

I would like that you tell me now the net monthly income, including all concepts, of your family as a whole:


999990 NAP, other countries
999998 Don't know
999999 No answer

Note:
If respondent does not inform his/her family income, we ask for income classes, and the final variable is a mixture of both questions.
Monthly income in Argentinean Peso (ARS).


Range of Valid Data Values: 50- 40000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1332 ; Min. 50 ; Max. 40000

Variable Format: numeric


AT_INC: Family income: Austria

Location:

Width: 6

Question: AT_INC - Austria: Family income

How much approximately is the monthly net income of your household (after taxation)?


150 Up to 300 EUR
450 301 to 600 EUR
750 601 to 900 EUR
1050 901 to 1.200 EUR
1350 1.201 to 1.500 EUR
1650 1.501 to 1.800 EUR
1950 1.801 to 2.100 EUR
2300 2.101 to 2.500 EUR
2750 2.501 to 3.000 EUR
3500 3.001 to 4.000 EUR
4500 4.000 EUR and more
999990 NAP, other countries
999998 Don't know
999999 No answer

Note:
Midpoints of the income classes in European currency.

Range of Valid Data Values: 150- 4500

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 741 ; Min. 150 ; Max. 4500

Variable Format: numeric


AU_INC: Family income: Australia

Location:

Width: 6

Question: AU_INC - Australia: Family income

What is your gross household income, before tax or other deductions, from all sources?



0 No income
5200 1-10.399 AUD per year
13000 10.400-15.599 AUD pa
18200 15.600-20.799 AUD pa
23400 20.800-25.999 AUD pa
28600 26.000-31.199 AUD pa
33800 31.200-36.399 AUD pa
39000 36.400-41.599 AUD pa
46800 41.600-51.999 AUD pa
65000 52.000-77.999 AUD pa
91000 78.000-103.999 AUD pa
104000 104.000 AUD or more per year
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Yearly income in Australian Dollar; midpoints of the class categories are coded

Range of Valid Data Values: 5200- 104000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 2342 ; Min. 5200 ; Max. 104000

Variable Format: numeric


BG_INC: Family income: Bulgaria

Location:

Width: 6

Question: BG_INC - Bulgaria: Family income

Exact monthly family income in Bulgarian Lewa


0 No income
999990 NAP, other countries
999999 No answer


Range of Valid Data Values: 35- 8400

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 644 ; Min. 35 ; Max. 8400

Variable Format: numeric


CH_INC: Family income: Switzerland

Location:

Width: 6

Question: CH_INC - Switzerland: Family income

(Open ended):
And, could you say how much is the total of the monthly net income of all household members, including you, i.e. the sum that remains after deduction of the contributions of Social Security (AVS etc) but before deduction of the taxes? i.e. the sum of all the incomes of occupation, annuity, pension, unemployment benefit, grant or other supports (but not incomes of capital).
OR (if nobody actually has a paid job in the household):
And, could you tell me the sum of eventual pensions, annuity, unemployment benefit, grant or other financial support that all household members together, including yourself, receive each month?
(Categories):
Would you accept to tell me the approximate total monthly net income of all the household members?
OR (if nobody actually has a paid job in the household):
Would you accept to tell me the approximate amount of that sum?
(If Respondent refused to answer open ended question: income categories)


0 No income
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Total of the monthly net income in Swiss Francs; the continuous values of the open ended question and the midpoints of the income categories are merged together in case of refusal.

Range of Valid Data Values: 12- 30000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 755 ; Min. 12 ; Max. 30000

Variable Format: numeric


CL_INC: Family income: Chile

Location:

Width: 7

Question: CL_INC - Chile: Family income

From the following list of monthly income, could you tell me in which one does your household fits, considering all net income coming from salaries, pensions, family help, etc.?



0 No own income, not in paid work
20 Less than 35.000 CLP per month
45 35.001-56.000 CLP
66 56.001-78.000 CLP
90 78.001-101.000 CLP
122 101.001-134.000 CLP
155 134.001-179.000 CLP
200 179.001-224.000 CLP
250 224.001-291.000 CLP
310 291.001-358.000 CLP
400 358.001-448.000 CLP
750 448.001-1.000.000 CLP
1500 1.000.001-2.000.000 CLP
2500 2.000.001-3.000.000 CLP
3100 More than 3.000.000 CLP per month
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Monthly net income in thousand Chilean Pesos; midpoints of the income categories

Range of Valid Data Values: 20- 3100

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1172 ; Min. 20 ; Max. 3100

Variable Format: numeric


CY_INC: Family income: Cyprus

Location:

Width: 6

Question: CY_INC - Cyprus: Family income

What is approximately the gross income of your family in total?


100 0-200 CYP
250 201-300 CYP
450 301-500 CYP
600 501-700 CYP
800 701-900 CYP
1000 901-1.100 CYP
1200 1.101-1.300 CYP
1400 1.301-1.500 CYP
1600 1.501-1.700 CYP
1800 More than 1.700 CYP
999990 NAP, other countries
999998 Don't know

Note:
Midpoints if the income categories in Cyprus Pounds.

Range of Valid Data Values: 100- 1800

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 871 ; Min. 100 ; Max. 1800

Variable Format: numeric


CZ_INC: Family income: Czech Republic

Location:

Width: 6

Question: CZ_INC - Czech Republic: Family income

What is an average total net income of your household per month? We mean incomes and rents of all members of your household after taxation and all social benefits, allowances and complementary incomes.



0 No income
6000 Up to 6.999 CZK
8500 7.000-9.999 CZK
11000 10.000-11.999 CZK
13000 12.000-13.999 CZK
15000 14.000-15.999 CZK
17000 16.000-17.999 CZK
19000 18.000-19.999 CZK
21000 20.000-21.999 CZK
23000 22.000-23.999 CZK
25000 24.000-25.999 CZK
27000 26.000-27.999 CZK
29000 28.000-29.999 CZK
32500 30.000-34.999 CZK
37500 35.000-39.999 CZK
42500 40.000-44.999 CZK
47500 45.000-49.999 CZK
55000 50.000-59.999 CZK
70000 60.000-79.999 CZK
95000 80.000 CZK and more
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Total average net income of household per month in CZK. Income asked in categories, i.e. midpoints of categories are coded.


Range of Valid Data Values: 6000- 95000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 701 ; Min. 6000 ; Max. 95000

Variable Format: numeric


DE_INC: Family income: Germany

Location:

Width: 6

Question: DE_INC - Germany: Family income

How high is the total net monthly income of your household? By this I mean the amount remaining after deducations for tax and social security contributions. For self-employed, please ask for average net monthly income, after deductions for overheads.


0 No income
999990 NAP, other countries
999997 Refused
999999 No answer

Note:
If respondent refused to answer open ended question then income categories prompted: Alphabet letter and answer categories randomly assigned; if categorial question answered then mean coded, see below; continuous and categorial variable coded into one; if single household then respondent's income coded.

Range of Valid Data Values: 76- 10000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1210 ; Min. 76 ; Max. 10000

Variable Format: numeric


DO_INC: Family income: Dominican Republic

Location:

Width: 6

Question: DO_INC - Dominican Republic: Family income

Considering every income of your household, the earnings of every member of the house, what is the total monthly net income of the household (after tax deduction)?



0 No income
4000 Less than 5.000 DOP
10500 5.000-15.999 DOP
21500 16.000-26.999 DOP
32500 27.000-37.999 DOP
43500 38.000-48.999 DOP
54500 49.000-59.999 DOP
65000 60.000-69.999 DOP
75000 70.000-79.999 DOP
85000 80.000-89.999 DOP
95000 90.000 DOP and more
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Monthly net income in Dominican Pesos; midpoints of the income classes are coded.

Range of Valid Data Values: 4000- 95000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 2003 ; Min. 4000 ; Max. 95000

Variable Format: numeric


FI_INC: Family income: Finland

Location:

Width: 6

Question: FI_INC - Finland: Family income

What is the average total monthly income of your household before tax (=gross income), including taxable social security benefits?



0 No income
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Total monthly household income before tax in European currency (EUR); actual continuous income values are coded.

Range of Valid Data Values: 100- 100000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1095 ; Min. 100 ; Max. 100000

Variable Format: numeric


FLA_INC: Family income: Flanders

Location:

Width: 6

Question: FLA_INC - Flanders: Family income

Now I want to ask you something about the income of your household. By household we understand the household of married persons or persons living together, a person living alone or someone who still lives with his/her parents.
By net monthly income of the household we mean the total sum of the earnings, after tax deduction, everything included such as salaries, meal tickets, child benefits, retirement pay or other incomes from capital or real estates ...
Is the monthly income of your household larger than 2000 euro or 80000 belgian francs?
In which category do you place your monthly net income of the household?



0 No income
250 250 EUR
10450 10.450 EUR
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer


Range of Valid Data Values: 250- 10450

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1088 ; Min. 250 ; Max. 10450

Variable Format: numeric


FR_INC: Family income: France

Location:

Width: 6

Question: FR_INC - France: Family income

By means of the list below, can you say to me what is the amount of your monthly family income, by taking into account all the comebacks of money of your household: wages, family allowances, rents or financial investments etc.?



0 No own income
305 305 EUR
610 610 EUR
915 915 EUR
1296 1.296 EUR
1906 1.906 EUR
2668 2.668 EUR
3430 3.430 EUR
4192 4.192 EUR
5335 5.335 EUR
6860 6.860 EUR
9909 9.909 EUR
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer


Range of Valid Data Values: 305- 9909

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1856 ; Min. 305 ; Max. 9909

Variable Format: numeric


GB_INC: Family income: Great Britain

Location:

Width: 6

Question: GB_INC - Great Britain: Earnings of Respondent

Which of the letters on this card represents the total income of your household from all sources before tax? Please just tell me the letter.


2000 Up to 3.999 GBP
5000 4.000-5.999 GBP
7000 6.000-7.999 GBP
9000 8.000-9.999 GBP
11000 10.000-11.999 GBP
13500 12.000-14.999 GBP
16500 15.000-17.999 GBP
19000 18.000-19.999 GBP
21500 20.000-22.999 GBP
24500 23.000-25.999 GBP
27500 26.000-28.999 GBP
30500 29.000-31.999 GBP
35000 32.000-37.999 GBP
41000 38.000-43.999 GBP
47000 44.000-49.999 GBP
53000 50.000-55.999 GBP
59000 56.000 GBP and more
999990 NAP, other countries
999997 Refused
999998 Don't know

Note:
Total income of household before tax in British Pounds; midpoints of the income categories are coded.

Range of Valid Data Values: 2000- 59000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 777 ; Min. 2000 ; Max. 59000

Variable Format: numeric


HR_INC: Family income: Croatia

Location:

Width: 6

Question: HR_INC - Croatia: Family income

Please state your family monthly income (incomes of all family members together) – including salaries, pensions, child benefits, income from rents and all other sources of income (after deduction).



0 No income
150 150 HRK
75000 75.000 HRK
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Monthly net income of all family members in Croation Kuna; actual continuous income values are coded.

Range of Valid Data Values: 150- 75000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 795 ; Min. 150 ; Max. 75000

Variable Format: numeric


HU_INC: Family income: Hungary

Location:

Width: 6

Question: HU_INC - Hungary: Family income

Family net income in Hungarian Forint (HUF).


0 No income
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Actual continuous income values are coded.

Range of Valid Data Values: 20000- 750000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 860 ; Min. 20000 ; Max. 750000

Variable Format: numeric


IE_INC: Family income: Ireland

Location:

Width: 6

Question: IE_INC - Ireland: Family income

Here is a scale of incomes, and we would like to know in what group your household lies in terms of it’s gross income, counting all wages, salaries, pensions and other income that come in, before taxes and other deductions.

Tick in column (1) the letter of the group your household falls into, before taxes and other deductions.


5000 Under 6.000 EUR per year
7750 6.000-9.500 EUR
10750 9.500-12.000 EUR
15000 12.000-18.000 EUR
21000 18.000-24.000 EUR
27000 24.000-30.000 EUR
33000 30.000-36.000 EUR
48000 36.000-60.000 EUR
75000 60.000-90.000 EUR
105000 90.000-120.000 EUR
140000 120.000-160.000 EUR
170000 160.000 EUR and more per year
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Income per year in EUR, midpoints of categories for intermediate amounts.

Range of Valid Data Values: 5000- 170000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 992 ; Min. 5000 ; Max. 170000

Variable Format: numeric


IL_INC: Family income: Israel

Location:

Width: 6

Question: IL_INC - Israel: Family income

Family net income per month in New Israeli Shekel



0 No income
2250 4.500 ILS and less, net
5000 4.500-5.500 ILS
6000 5.500-6.500 ILS
7000 6.500-7.500 ILS
8000 7.500-8.500 ILS
9500 8.500-10.500 ILS
12000 10.500-13.500 ILS
14500 13.500-15.500 ILS
17750 15.500-20.000 ILS
22000 More than 20.000 ILS
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Midpoints of the income classes are coded.

Range of Valid Data Values: 2250- 22000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1005 ; Min. 2250 ; Max. 22000

Variable Format: numeric


JP_INC: Family income: Japan

Location:

Width: 6

Question: JP_INC - Japan: Family income

How much income did your household earn last year, inclusive income of tax, casual and part-time income?



0 No income
1000 Less than 2.000.000 JPY per year
2500 2.000.000-2.999.999 JPY
3500 3.000.000-3.999.999 JPY
4500 4.000.000-4.999.999 JPY
5500 5.000.000-5.999.999 JPY
6500 6.000.000-6.999.999 JPY
7500 7.000.000-7.999.999 JPY
8500 8.000.000-8.999.999 JPY
9500 9.000.000-9.999.999 JPY
11000 10.000.000-11.999.999 JPY
13500 12.000.000-14.999.999 JPY
20000 15.000.000 JPY and more per year
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Yearly income in thousand Japanese Yen; midpoints of the income classes.

Range of Valid Data Values: 1000- 20000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1103 ; Min. 1000 ; Max. 20000

Variable Format: numeric


KR_INC: Family income: South Korea

Location:

Width: 6

Question: KR_INC - South Korea: Family income

Before taxes and other deductions, what is the total average monthly income of your household? This includes all sources of income (e.g. work income, interest or dividends, property income, rent, pensions, welfare support, or the money personally provided by somebody) from all household members including yourself.



0 No income
5 50.000 KRW
5160 51.600.000 KRW
999990 NAP, other countries
999998 Don't know
999999 No answer

Note:
Monthly average actual amount of income in 10.000 Korean Won

Range of Valid Data Values: 5- 5160

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1366 ; Min. 5 ; Max. 5160

Variable Format: numeric


LV_INC: Family income: Latvia

Location:

Width: 6

Question: LV_INC - Latvia: Family income

What was your family income after deductions last month including all incomes - salaries, stipends, benefits, pensions, rent for you ownership etc.?



0 No income
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Actual continuous income values in Latvian Lats are coded.

Range of Valid Data Values: 10- 21000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 701 ; Min. 10 ; Max. 21000

Variable Format: numeric


MX_INC: Family income: Mexico

Location:

Width: 6

Question: MX_INC - Mexico: Family income

Monthly net income in Mexican Pesos



0 No income
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer


Range of Valid Data Values: 700- 120000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 869 ; Min. 700 ; Max. 120000

Variable Format: numeric


NO_INC: Family income: Norway

Location:

Width: 6

Question: NO_INC - Norway: Family income

About how large is your household’s yearly gross income? Include pensions, social security benefits, incidental earnings or similar. Round to nearest 1000 Norwegian kroner.



0 No income
5 5.000 NOK
30000 30.000.000 NOK
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Actual continous yearly income values in 1000 Norwegian Kroner

Range of Valid Data Values: 5- 30000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1014 ; Min. 5 ; Max. 30000

Variable Format: numeric


NZ_INC: Family income: New Zealand

Location:

Width: 6

Question: NZ_INC - New Zealand: Family income

Which of the following categories best describes the total yearly income of everyone in your household from all sources before tax?



0 No income
7500 5.000-15.000 NZD per year
17500 15.000-20.000 NZD
25000 20.000-30.000 NZD
35000 30.000-40.000 NZD
45000 40.000-50.000 NZD
55000 50.000-60.000 NZD
65000 60.000-70.000 NZD
75000 70.000-80.000 NZD
90000 80.000-100.000 NZD
120000 More than 100.000 NZD
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
When income categories were converted to average values, if the average value for household income was less than the average value for individual income in a single person household (as a result of the recoding process), the two values were made the same (equal to individual income), and then increased if necessary to equal the nearest average value (except for $12.500 which was set to $7.500, the mean of the lowest household income category).

Range of Valid Data Values: 7500- 120000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 899 ; Min. 7500 ; Max. 120000

Variable Format: numeric


PH_INC: Family income: Philippines

Location:

Width: 6

Question: PH_INC - Philippines: Family income

About how much is the total monthly income of your family?
Exact amount of income in Philippines Pesos.



0 No income
200 200 PHP
100000 100.000 PHP
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Actual amount of income in Philippines Pesos.

Range of Valid Data Values: 200- 100000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1116 ; Min. 200 ; Max. 100000

Variable Format: numeric


PL_INC: Family income: Poland

Location:

Width: 6

Question: PL_INC - Poland: Family income

Taking into consideration last 12 months, please tell me your household total monthly income from all sources. Please calculate and tell me the monthly average after taxes.



0 No income
150 150 PLN
20000 20.000 PLN
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Actual continuous income values in Polish Zloty (PLN)

Range of Valid Data Values: 150- 20000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1161 ; Min. 150 ; Max. 20000

Variable Format: numeric


RU_INC: Family income: Russia

Location:

Width: 6

Question: RU_INC - Russia: Family income

What was the total income last month from all sources for all family members?



0 No income
1000 1.000 RUB
200000 200.000 RUB
999990 NAP, other countries
999998 Don't know
999999 No answer

Note:
Actual continuous income values n Russian Roubles.

Range of Valid Data Values: 1000- 200000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1902 ; Min. 1000 ; Max. 200000

Variable Format: numeric


SE_INC: Family income: Sweden

Location:

Width: 6

Question: SE_INC - Sweden: Family Income

What is your approximate monthly income before taxes?



0 No income
1000 1.000 SEK
499000 499.000 SEK
999990 NAP, other countries
999998 Don't know
999999 No answer

Note:
Actual continuous income values in Swedish Crowns.

Range of Valid Data Values: 1000- 499000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1122 ; Min. 1000 ; Max. 499000

Variable Format: numeric


SI_INC: Family income: Slovenia

Location:

Width: 6

Question: SI_INC - Slovenia: Family income

What was last regular monthly income of all family members (after tax deduction, obligatory social security payment and other deductions)? Calculate all kinds of incomes: personal income, pension, scholarship, income from trade, farming ...

Exact monthly net income in (thousand) Slovenian Tolar



0 No income
40 40.000 SIT
996 996.000 SIT and more
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer

Note:
Exact monthly net income in thousand Slovenian Tolar

Range of Valid Data Values: 40- 996

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 517 ; Min. 40 ; Max. 996

Variable Format: numeric


SK_INC: Family income: Slovak Republic

Location:

Width: 6

Question: SK_INC - Slovakia: Family income

Now we would like to ask about the income of your household. (Under household we mean a shared household of spouses or partners, who live alone, with children, with parents as well as households of singles living alone). Please, what is the average total net income of all household members per month including wages, pensions, scholarships and all other working or non-working incomes? From the following list, choose the option that mostly represents the size of the net income of your household.


2300 Up to 4.600 SKK
6200 4.601-7.800 SKK
8900 7.801-10.000 SKK
12500 10.001-15.000 SKK
17500 15.001-20.000 SKK
22500 20.001-25.000 SKK
27500 25.001-30.000 SKK
35000 30.001-40.000 SKK
45000 40.001-50.000 SKK
57500 50.001-65.000 SKK
72500 65.001 SKK and more
999990 NAP, other countries
999998 Don't know
999999 No answer

Note:
Midpoints of the income categories in Slovak Crowns.

Range of Valid Data Values: 2300- 72500

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 918 ; Min. 2300 ; Max. 72500

Variable Format: numeric


TW_INC: Family income: Taiwan

Location:

Width: 7

Question: TW_INC - Taiwan: Family income

What is your average monthly household income, including incomes from work and other resources (such as rent, bonus, pension and interest)?



0 No income
5000 Less than 10.000 TWD
15000 10.001-20.000 TWD
25000 20.001-30.000 TWD
35000 30.001-40.000 TWD
45000 40.001-50.000 TWD
55000 50.001-60.000 TWD
65000 60.001-70.000 TWD
75000 70.001-80.000 TWD
85000 80.001-90.000 TWD
95000 90.001-100.000 TWD
105000 100.001-110.000 TWD
115000 110.001-120.000 TWD
125000 120.001-130.000 TWD
135000 130.001-140.000 TWD
145000 140.001-150.000 TWD
155000 150.001-160.000 TWD
165000 160.001-170.000 TWD
175000 170.001-180.000 TWD
185000 180.001-190.000 TWD
195000 190.001-200.000 TWD
250000 200.001-300.000 TWD
350000 300.001-400.000 TWD
450000 400.001-500.000 TWD
750000 500.001-1.000.000 TWD
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer
1500000 More than 1.000.000 TWD

Note:
Average monthly income in Taiwanese Dollar; midpoints of the income categories were coded.

Range of Valid Data Values: 5000- 1500000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1975 ; Min. 5000 ; Max. 1500000

Variable Format: numeric


US_INC: Family income: USA

Location:

Width: 6

Question: US_INC - United States: Family income

In which of these groups did your total family income, from all sources, fall last year--2006--before taxes, that is. Just tell me the letter. Total income includes interest or dividends, rent, Social Security, other pensions, alimony or child support, unemployment, compensation, public aid (welfare), armed forces or veteran's allotment.


500 Less than 1.000 USD per year
2000 1.000-2.999 USD
3500 3.000-3.999 USD
4500 4.000-4.999 USD
5500 5.000-5.999 USD
6500 6.000-6.999 USD
7500 7.000-7.999 USD
9000 8.000-9.999 USD
11250 10.000-12.499 USD
13750 12.500-14.999 USD
16750 15.000-17.499 USD
18750 17.500-19.999 USD
21750 20.000-22.499 USD
23750 22.500-24.999 USD
27500 25.000-29.999 USD
32500 30.000-34.999 USD
37500 35.000-39.999 USD
45000 40.000-49.999 USD
55000 50.000-59.999 USD
67500 60.000-74.999 USD
82500 75.000-89.999 USD
100000 90.000-109.999 USD
120000 110.000-129.999 USD
140000 130.000-149.999 USD
150000 150.000 USD or more
999990 NAP, other countries
999997 Refused
999998 Don't know

Note:
Yearly family income before taxes in US Dollar; midpoints of the income categories were coded.

Range of Valid Data Values: 500- 150000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1406 ; Min. 500 ; Max. 150000

Variable Format: numeric


UY_INC: Family income: Uruguay

Location:

Width: 6

Question: UY_INC - Uruguay: Family income

Looking at the card, could you please tell me the number that corresponds to your gross monthly household income, after tax or other deductions, of all members and from all sources? Please include any pensions and allowances, and income from interests or dividends, as well as help from family and friends, rents and others.



0 No income
800 800 UYP
100000 100.000 UYP
999990 NAP, other countries
999997 Refused
999998 Don't know
999999 No answer


Range of Valid Data Values: 800- 100000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 1343 ; Min. 800 ; Max. 100000

Variable Format: numeric


ZA_INC: Family income: South Africa

Location:

Width: 6

Question: ZA_INC - South Africa: Family income

Please give me the letter that best describes the TOTAL MONTHLY HOUSEHOLD INCOME of all the people in your household before tax and other deductions. Please indicate all sources of income, i.e. salaries, pensions, income from investments, etc.



0 No income
250 500 ZAR and less per month
625 501-750 ZAR
875 751-1.000 ZAR
1250 1.001-1.500 ZAR
1750 1.501-2.000 ZAR
2500 2.001-3.000 ZAR
4000 3.001-5.000 ZAR
6250 5.001-7.500 ZAR
8750 7.501-10.000 ZAR
12500 10.001-15.000 ZAR
17500 15.001-20.000 ZAR
25000 20.001-30.000 ZAR
40000 30.001-50.000 ZAR
60000 50.001 ZAR and more
999990 NAP, other countries
999997 Refuse to answer
999998 Uncertain or don't know
999999 No answer

Note:
Monthly income before tax in Rand; midpoints of the income classes were coded.

Range of Valid Data Values: 250- 60000

Range of Invalid Data Values: 999990- 9999990

Summary Statistics: Valid 2181 ; Min. 250 ; Max. 60000

Variable Format: numeric


HOMPOP: How many persons in household

Location:

Width: 2

Question: Size of household: Total number of persons living in household

AU HR IL JP NO NZ SE SI: How many persons live in altogether in your household (house), including yourself?
FI: How many people live in your household?
CH: How many persons constantly are living in your household, including yourself?
CL: How many people live in your home? Please include babies, children and adults. Do not include domestic helpers.
CZ: How many members including yourself are there in your household? As household we understand individuals residing in one apartment or family house, who together financially manage the household.
DE: Apart from yourself, there are (number) of people living in your household? Please count toddlers or people who normally live there, but are currently absent, e.g. in hospital/on holiday.
DO: How many people between 12 and 17 years old live permanently in this household? How many children under 12 years of age live permanently in this household?
FR: Age and sex of every person of the household (constructed).
GB: Thinking now of everyone living in the household, including children. Including yourself, how many people live here regularly as members of this household?
IE: How many people aged 18 or more live in your household? How many people aged 17 or under?
KR: How many family members, including yourself, presently reside in your home? Do not include those who are temporarily living elsewhere due to schooling, employment and military service.
LV: How many adults live in your family (18 years old and older)? How many children less than 18 years live in your family?
PH: This question is not asked. The number of persons in household including servants, transients, boarders is taken over from the Census of Household.
PL: The information about all persons living in respondents household is derived from the PGSS Household Members Card, collected by interviewer before the interview. The number of persons in household comes from the total number of completed fields concerning a particular household member.
RU: How many people, who are members of your family, incl. yourself and children of any age, live together with you?
TW: Including yourself, how many people live in your residence, (including maids)?
US: Information taken from the list of household members with each person's age.
UY: How many persons do live permanently in this household? Do not forget include baby, children and adults. Do not include maids and other domestic helpers.
ZA: Please list all persons in the household who eat from the same cooking pot and were resident 15 out of the past 30 days. Information derived from the household roster.



1 1 person
2 2 persons
3 3 persons
4 4 persons
5 5 persons
6 6 persons
7 7 persons
8 8 persons
9 9 persons
10 10 persons
11 11 persons
12 12 persons
13 13 persons
14 14 persons
15 15 persons
16 16 persons
17 17 persons
18 18 persons
20 20 persons
21 21 persons
28 28 persons
99 No answer, refused

in Finland (FI):
5 5 persons or more

in Sweden (SE):
8 8 persons or more


Range of Valid Data Values: 1- 28

Range of Invalid Data Values: 099

Summary Statistics: Valid 49301 ; Min. 1 ; Max. 28

Variable Format: numeric


HHCYCLE: Household composition:children+adults

Location:

Width: 2

Question: Household cycle - Household composition

AU: Thinking about the people other than yourself who live in your house, please tell us how old each person is and cross the option that describes your relationship with each of them.
CH: Constructed from three new created variables: 'Number of children from the respondent that live in the household', 'Number of children from the partner living in household' and 'Total number of children living in household'.
CL: Constructed from 'Number of adults 18 years and older' and 'Number of babies and children up to 18 years living permanently in household'. Exclude domestic helpers.
CZ: Constructed from two variables: 'Number of members in household, including R' and 'Number of dependent children up to 18 years in the common household'.
DE: Composition of household constructed from detailed household list with sex and age of each household member.
FI: How many people live in your household? Number of adults aged 18 and over in household; number of children aged 7 to 17 years; number of children aged under 7 years; year of birth of children aged under 18 living in household.
FR: Constructed from the information of the household list.
GB: Derived from the Household Grid, which contains the ages of all people in the household.
HR: Household structure: number of adults and children (younger than 18 years); number of household member in each age group.
HU: Year of birth of all family members. Persons older than 18 years are considered as adults, persons up to 18 years as children.
IE: How many people aged 18 or more live in your household? How many people aged 17 or under?
JP: How many persons live in your household, including yourself? How many people living in household aged 17 or less?
KR: Please include all family members who are living in your home, or who are temporarily living somewhere else, or those who are not your family members but are living in your home. Constructed from the household list: number, age and relationship of family members residing at home.
LV: How many adults 18 years and older live in your family? How many children less than 18 years live in your family?
NO: How are the household members distributed on age groups: number of children 0-2 years, 3-5 years, 6-12 years, 13-17 years, number of persons 18 years or more including yourself?
NZ: Derived from HOMPOP and additional questions 'How many children under age of 18 are in your household?' and 'Number of adults in household'.
PH: Household composition based on Census of Household part: adults and children (less than 18 years), excluding servants, transients, boarders.
PL: Derived from the PGSS 'Household Members Card' collected by interviewer before the interview with information about all persons living in the household. Combination of household members grouped according to their age.
SE: How many persons are there in your household (count yourself also!)? How many persons in your household are between 7 and 17 years? How many persons in your household are below 7 years?
SI: Computed from 'All persons in household', 'Number of persons aged 18 and over', 'Number of children aged 6 to 17 years', 'Number of children under 6 years in household'.
US: Information of the household list: four variables to construct HHCYCLE: household members less than 6 years old, household members 6 thru 12 years old, household members 13 thru 17 years old, sum of babies, preteens and teens and household members 18 years and older.
UY: Constructed from 'Number of adults aged 18 years and more' and 'Number of people under 18 years living permanently in household four or more days a week not including maids and other domestic helpers'.
ZA: Information derived from the household roster, by first identifying the adults 18 years and more and then children 17 years and less.



1 Single household
2 1 adult, 1 child
3 1 adult, 2 children
4 1 adult, 3 or more children
5 2 adults
6 2 adults, 1 child
7 2 adults, 2 children
8 2 adults, 3 or more children
9 3 adults
10 3 adults and children
11 4 adults
12 4 adults and children
13 5 adults
14 5 adults and children
15 6 adults
16 6 adults and children
17 7 adults
18 7 adults and children
19 8 adults
20 8 adults and children
21 9 adults
22 9 adults and children
23 10 adults
24 10 adults and children
25 11 adults
26 11 adults and children
27 12 adults
28 12 adults and children
95 Other
99 No answer, refused

in Taiwan (TW):
0 Not available


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 099

Summary Statistics: Valid 46580 ; Min. 1 ; Max. 95

Variable Format: numeric


PARTY_LR: R: Party affiliation: left-right (derived)

Location:

Width: 1

Question: Political party affiliation: coded in a left/right scheme

AT AU CH CZ FI HR JP LV NO PL SE ZA: Derived from nat_PRTY (see AU_PRTY to ZA_PRTY)

DO: If you had to classify the political party you sympathize in one of the following political orientation, you would say:
IE: People often use the term ‘right wing’ or ‘left wing’ in describing political opinions. Where would you put yourself on this scale?
KR: To what degree do you think yourself politically liberal or conservative?
MX: The political party that you sympathizes with, in which ideological orientation would you locate it?
NZ: Where on the following scale would you say your political views lie? (5 point scale)
PH: In politics, there are instances when ‘left’ and ‘right’ are mentioned by people. Where will you put yourself among the following?
RU: Which party do you sympathize with?
SI: In politics people often talk about left and right. Where would you put yourself, on scale 0 to 10, if 0 means left and 10 means right.
(10 point scale converted into standard scale)
US: The US recode considers both: the party affiliation AND the subjective intensity.
UY: As you might know, people in this country describe political orientations as more closely to the left, to the center or to the right. Could you please tell with which of the following positions do you identify the most? (7 point scale recoded).



0 NAP, not eligible, did not vote
1 Far left etc
2 Left, center left
3 Center, liberal
4 Right, conservative
5 Far right etc
6 Other, no specification
7 No party, no preference
8 Don't know
9 No answer, refused

in Austria (AT):
0 Did not vote

in Chile (CL):
0 Not available

in Israel (IL):
0 Not available

in Taiwan (TW):
0 Not available


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 7- 90

Summary Statistics: Valid 25282 ; Min. 1 ; Max. 6

Variable Format: numeric


AR_PRTY: R: Party affiliation: Argentina

Location:

Width: 2

Question: AR_PRTY - Argentina: Party affiliation

Do you clearly remember for which candidate you voted in the first turn of the 2003 presidential elections - the only one that took place, because Menem won the first turn but he withdrew from the second turn?


0 NAP, other countries
1 Peronism (all fractions)
2 Radical Civic Union, UCR
3 Socialist
4 Republican Proposal, PRO
5 Affirmation for an Egalitarian Republic, ARI
6 Regional Party, center, center-right
92 Other, center, center-right
93 Other, left
95 Other Party


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 1657 ; Min. 1 ; Max. 95

Variable Format: numeric


AT_PRTY: R: Party affiliation: Austria (vote last election)

Location:

Width: 2

Question: AT_PRTY - Austria: Party affiliation

Which party did you vote for at the last national elections, September, 28, 2008?


0 NAP, other countries
1 OEVP - Austrian People's Party
2 SPOE - Austrian Social Democratic Party
3 FPOE - Austrian Freedom Party
4 GRUENE - Green Party
5 BZOE - Confederation for the Future of Austria
6 Liberales Forum - Liberal Forum
95 Other party
96 Did not vote, not eligible
97 Refused
98 Don't remember
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 683 ; Min. 1 ; Max. 95

Variable Format: numeric


AU_PRTY: R: Party affiliation: Australia

Location:

Width: 2

Question: AU_PRTY - Australia: Party affiliation

Generally speaking, do you usually think of yourself as Labour, Liberal, National or what?



0 NAP, other countries
1 Liberal Party
2 Labour Party (ALP)
3 National Party
4 Australian Democrats
5 Greens
6 One nation
7 Family First
95 Other Party
96 No party preference
97 Refused
98 Don't know
99 No answer

Note:
Other party was coded: Christian Democratic Party, Shining Path Party, Shooters Party, United Party

Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 2171 ; Min. 1 ; Max. 95

Variable Format: numeric


BG_PRTY: R: Party affiliation: Bulgaria

Location:

Width: 2

Question: BG_PRTY - Bulgaria: Party affiliation



0 NAP, other countries
1 Sajuz Balgarija
2 Napred Balgarija
3 Coalicia za Bulgaria
6 NDSV Simeon II
7 Dostonia Bulgaria
8 DSB
9 Da jivei Bulgaria!
10 Evroroma
11 Coalicia na rozata
12 BNS-SSD, VMRO, NS
13 Novoto vreme
14 Ataka
17 DPS
18 Bulgarska Hirsianska
19 ODS,SDS,BZNS NS,DROM
20 Nikola Petka
95 Other Party
96 Would not vote
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 533 ; Min. 1 ; Max. 20

Variable Format: numeric


CH_PRTY: R: Party affiliation: Switzerland

Location:

Width: 2

Question: CH_PRTY - Switzerland: Party affiliation

Is there a party to which you feel closer than to the other parties? Which party is it?



0 NAP, other countries
1 Christian Democratic Party - CVP
2 Evangelical Peoples Party - EVP
3 Radical Democratic Party
4 Social Democratic Party - SPS
5 Swiss Peoples Party - SVP
6 Independent Party
7 Liberal Party - LPS
8 Labour Party - PdA
9 Swiss Democrats - SD
10 Green Party - GPS
11 Freedom Party
95 Other Party
96 No party preference
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 575 ; Min. 1 ; Max. 95

Variable Format: numeric


CL_PRTY: R: Party affiliation: Chile

Location:

Width: 2

Question: CL_PRTY - Republic Chile: Party affiliation

From the following political parties included in this card, with which one do you identify or sympathized more?



0 NAP, other countries
1 Christian Democratic Party - PDC
2 Independent Democratic Union - UDI
3 Communist Party of Chile - PCCH
4 National Renewal Party - RN
5 Chilean Socialist Party - PS
6 Radical Social Democratic Party - PRSD
7 Party for Democracy - PPD
8 Humanist Party - PH
95 Other Party
96 Would not vote, no party preference
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 690 ; Min. 1 ; Max. 95

Variable Format: numeric


CY_PRTY: R: Party affiliation: Cyprus

Location:

Width: 2

Question: CY_PRTY - Republic Cyprus: Party affiliation

In general, what political party would you say is closer to your perceptions?


0 NAP, other countries
1 Progressive Labour Party - AKEL
2 Socialist Party - EDEK
3 Ecologists - Ecogreen
4 Free Democrats - EDH
5 Democratic Party - DHKO
6 Democratic Renewal Party - ADHK
7 New Horizons
8 European Democracy
9 Democratic Alert - DHSY
95 Other Party
96 No one, none
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 896 ; Min. 1 ; Max. 9

Variable Format: numeric


CZ_PRTY: R: Party affiliation: Czech Republic

Location:

Width: 2

Question: CZ_PRTY - Czech Republic: Party affiliation

Which political party would you vote for if elections to the Chamber of deputies were held next week?



0 NAP, other countries
6 CSSD-Czech Social Democratic Party
12 KSCM-Communist Party of Bohemia and Moravia Party
15 KDU-CSL Christian Democratic Party-Czechoslovak People's Party
20 Independents Party
22 ODS-Civic Democratic Party
26 ROI-Roma Civic Initiative Party
27 SNK-European Democrats Party
30 SZ-Green Party
96 Would not vote, no preference
99 NA, refused


Range of Valid Data Values: 1- 96

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 808 ; Min. 6 ; Max. 96

Variable Format: numeric


DE_PRTY: R: Party affiliation: Germany

Location:

Width: 2

Question: DE_PRTY - Germany: Party affiliation

If there was a general election next Sunday, which party would you vote for with your second vote ('Zweitstimme')?



0 NAP, not eligible, other countries
1 Christian Democratic Union/Christian Social Union - CDU/CSU
2 Social Democratic Party of Germany - SPD
3 Free Democratic Party - FDP
4 Alliance 90/The Greens - Buendnis 90/Gruene
5 The Republicans - REP
6 Party of Democratic Socialism - PDS/Linke Liste
7 National-Democratic Party of Germany - NPD
95 Other Party
96 Would not vote
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 1208 ; Min. 1 ; Max. 95

Variable Format: numeric


DO_PRTY: R: Party affiliation: Dominican Republic

Location:

Width: 2

Question: DO_PRTY - Dominican Republic: Party affiliation

Would you consider yourself a member or supporter of a political Party in the Dominican Republic?
Of which political party are you a member or supporter?



0 NAP, other countries
1 Revolutionary Dominican Party - PRD
2 Dominican Liberation Party - PLD
3 Christian Socialist Party - PRSC
95 Other party
96 No party preference
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 96

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1217 ; Min. 1 ; Max. 95

Variable Format: numeric


FI_PRTY: R: Party affiliation: Finland

Location:

Width: 2

Question: FI_PRTY - Finland: Party affiliation

If the parliamentary elections were held right now, the candidate of which political party or group would you vote for?



0 NAP, other countries
1 Social Democratic Party - SDP
2 Centre Party of Finland - KESK
3 National Coalition Party - KOK
4 Left Alliance - VAS
5 Swedish Peoples Party - SFP/RKP
6 Green League - VIHR
7 Christian League - KD
8 True Finns - PS
95 Other Party
96 Would not vote
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 835 ; Min. 1 ; Max. 95

Variable Format: numeric


FLA_PRTY: R: Party affiliation: Flanders

Location:

Width: 2

Question: FLA_PRTY - Flanders: Party affiliation

Suppose that there would be elections on next Sunday, for which political party would you vote?



0 NAP. other countries
1 Cartel CD+V/N-VA - Christian Democrats- National Flemish Alliance
2 Cartel SPa/ Spirit - Socialist Party
3 Open VLD- Liberal Party
4 Groen - Green Party
5 Vlaams Belang - Extreme right wing Party
6 Lijst Dedecker - Liberal Party
10 PVDA/CAP - Left party
11 CDH - Christian Democrats Wallonia
93 Vote for a certain person, not for a party
95 Other party
96 Would not vote
97 Refused
98 Don't know
99 No answer



Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 1066 ; Min. 1 ; Max. 95

Variable Format: numeric


FR_PRTY: R: Party affiliation: France

Location:

Width: 2

Question: FR_PRTY - France: Party affiliation

Can you say to me of which party or political movement you feel the closest or at least the least far away?




0 NAP, other countries
1 Communist Party - PCF
2 Far left - LO-LCR/PT
3 Socialist Party - PS
4 Green, Ecologists - VERTS
5 Liberal - UDF
6 Conservative - RPR
7 National Front - FN
95 Other Party
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 1385 ; Min. 1 ; Max. 95

Variable Format: numeric


GB_PRTY: R: Party affiliation: Great Britain

Location:

Width: 2

Question: GB_PRTY - Great Britain: Party affiliation

(If R supports a party or is closer to one party than others) Which one?
(If R is no closer to one party than others) If there were a general election tomorrow, which political party do you think you would be most likely to support?


0 NAP, other countries
1 Conservative Party - CONS
2 Labour Party - LAB
3 Liberal Democrats - SLD
6 Scottish National Party - SNP
7 Plaid Cymru - PC
8 Green Party
93 Other answer
95 Other Party
96 Would not vote; no party preference
97 Refused
98 Don't know


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 691 ; Min. 1 ; Max. 95

Variable Format: numeric


HR_PRTY: R: Party affiliation: Croatia

Location:

Width: 2

Question: HR_PRTY - Croatia: Party affiliation

Which political party do you prefer?



0 NAP, other countries
1 HDZ - Croatian Democratic Union (Conservative)
2 SDP - Social Democratic Party (Social-Democratic)
3 HSP - Croatian Party of Rights (Right, Conservative)
4 HSS - Croatian Peasant Party (Center)
5 HNS - Croatian People's Party - Liberal Democrats (Center)
6 HSLS - Croatian Social Liberal Party (Liberal)
7 IDS - Istrian Democratic Assembly (Regional)
8 HSU - Croatian Party of Pensioners (Party of retired persons)
95 Other Party
96 No party, no preference
97 Refused
98 Don't know


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 429 ; Min. 1 ; Max. 95

Variable Format: numeric


HU_PRTY: R: Party affiliation: Hungary

Location:

Width: 2

Question: HU_PRTY - Hungary: Party affiliation

If there was a Parliamentary Election at the moment, which party would you vote for?


0 NAP, other countries
1 HDF-Hungarian Democratic Forum
2 FFD-Free Democrats
4 HSP-Hungarian Socialist Party
5 FYD-Federation of Young Democrats
6 CDPP-Christian Democratic Peoples Party
7 WP-Workers Party
8 HTJP-Hungarinan Truth
95 Other Party
96 Would not vote
97 Refused
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 578 ; Min. 1 ; Max. 95

Variable Format: numeric


IE_PRTY: R: Party affiliation: Ireland

Location:

Width: 2

Question: IE_PRTY - Ireland: Party affiliation

Do you feel closer to one of the political parties than to the others? If yes: which party is that?


0 NAP, other countries
1 Fianna Fail-Soldiers of Destiny/The Republican Party - FF
2 Fine Gael-Tribe of the Gaels/Family of the Irish - FG
3 Irish Labour Party - LAB
4 Progressive Democrats - PD
5 Green Party - GP
7 Sinn Fein-We ourselves - SF
95 Other Party
96 No party preference


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 648 ; Min. 1 ; Max. 95

Variable Format: numeric


IL_PRTY: R: Party affiliation: Israel

Location:

Width: 2

Question: IL_PRTY - Israel: Party affiliation



0 NAP, other countries
1 Haavoda
2 Likud
3 Kadima
4 Shase
5 Meretz
6 Mafdal
7 Yahadut-hatora
8 Gimlaim
9 Israel Beteno
10 Haadash
11 Balad
12 Raam, Taal
14 Shinuy
15 ale yarok
16 Hayerukim
17 Other party
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 96

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 885 ; Min. 1 ; Max. 95

Variable Format: numeric


JP_PRTY: R: Party affiliation: Japan

Location:

Width: 2

Question: JP_PRTY - Japan: Party affiliation

Which party do you usually support?



0 NAP, other countries
1 Liberal Democratic Party LDP
2 The Democratic Party of Japan - DPJ
3 Liberal Party
4 New Komeito - New Clean Government Party
5 Japanese Communist Party - JCP
6 Social Democratic Party - SDPJ
95 Other Party
96 No party preference
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 673 ; Min. 1 ; Max. 95

Variable Format: numeric


KR_PRTY: R: Party affiliation: South Korea

Location:

Width: 2

Question: KR_PRTY - South Korea: Party affiliation

Currently which political party do you support most? If you do not actively support any party, is there a party you usually feel favourable toward?



0 NAP, other countries
1 People First Party
2 Democratic Labor Party
3 Uri Party
4 Democratic Party
5 Grand National Party
95 Other Parties
96 No party affiliation
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 1153 ; Min. 1 ; Max. 95

Variable Format: numeric


LV_PRTY: R: Party affiliation: Latvia

Location:

Width: 2

Question: LV_PRTY - Latvia: Party affiliation

Which political party do you agree with most often?



0 NAP, other countries
1 Mâras zeme
2 Saskanas centrs - Harmony centre
3 Political Union 'Motherland', 'Dzimtene'
4 Party 'All for Latvia', 'Visu Latvijai'
5 Organisation For Human Rights in United Latvia
6 Political organization (party), 'Euro-sceptics'
7 Political organisation 'Green and Farmer union'
8 Party 'Our Land'
9 Union 'Latvias First Party' and 'Latvias Way'
10 Latvian Social Democratic Workers Party (LSDSP)
11 Party 'Tevzemes savieniba'
12 National Force Unions
13 New Democrats
14 The Peoples Party
15 Jaunais laiks
16 Political organisation 'Latviesu Latvija'
17 Political organization 'Party of Pensioners and Seniors'
18 Party of Social Justice
19 Alliance 'Tevzemei un Brivibai'/ LNNK
95 Other party
96 No party preference
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 252 ; Min. 2 ; Max. 95

Variable Format: numeric


MX_PRTY: R: Party affiliation: Mexico

Location:

Width: 2

Question: MX_PRTY - Mexico: Party affiliation

Which political party do you sympathize with?



0 NAP, other countries
1 National Action Party - PAN
2 Institutional Revolutionary Party - PRI
3 PRD Democratic Revolution Party - PRD
4 Labour Party - PT
5 PVEM Environmentalist Green Party - PVEM
6 Convergencia
7 Social Democratic Party - PASC
8 New Alliance Party - PANAL
95 Other Party
96 No party preference
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 837 ; Min. 1 ; Max. 95

Variable Format: numeric


NO_PRTY: R: Party affiliation: Norway

Location:

Width: 2

Question: NO_PRTY - Norway: Party affiliation

Which party would you vote for in the national election if it was held tomorrow?



0 NAP, other countries
1 Red Electoral Alliance
2 Labour Party - DNA
3 Progress Party - FRP
4 Conservative Party - H
5 Christian Democratic Party - KrF
6 Centre party - SP
7 Socialist Left - SV
8 Liberal Party - V
95 Other Party
96 Would not vote
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 858 ; Min. 1 ; Max. 95

Variable Format: numeric


NZ_PRTY: R: Party affiliation: New Zealand

Location:

Width: 2

Question: NZ_PRTY - New Zealand: Party affiliation

At the 2005 General Election, who did you vote for?



0 NAP, other countries
1 Association of Consumers and Taxpayers - ACT
2 Alliance
3 Green Party
4 New Zealand Labour Party - NZLP
5 National Party - NP
6 New Zealand First Party - NZFP
7 Progressive Coalition
8 United Future - UF
9 Maori Party
95 Other party
96 Did not vote/ not eligible
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 829 ; Min. 1 ; Max. 95

Variable Format: numeric


PH_PRTY: R: Party affiliation: Philippines

Location:

Width: 2

Question: PH_PRTY - Philippines: Party affiliation

What political party do you favour?



0 NAP, other countries
1 NATIONALISTA
3 OPOSISYON/OPPOSITION
4 LIBERAL PARTY
5 KAMPI
6 INDEPENDENT
8 PARTIDO NINA TRILLANES AT ESCUDERO
9 TEAM UNITY
10 ADMINISTRATION
13 PARTIDO NI ERAP
14 AKBAYAN
15 FPJ PM - FERNANDO POE JR. - PARTIDONG MASA
19 LAKAS-NUCD-CMD
24 BUHAY
28 CIBAC
29 MASANG PILIPINO
30 ANAKBAYAN
31 BAYAN MUNA
33 LABAN
36 LAKAS
38 LACSON
39 BOPK - BANDO OSMEÑA PUNDOK KAUSWAGAN
41 KABABAIHAN
46 PARTIDO NI MAYOR CONSTANTINO
47 RIGHTESS
48 NEUTRAL
49 ANAK PAWIS
50 NPC-NATIONAL PEOPLE COALITION
51 OMPIA PARTY
52 UMMAH PARTY
53 PARTIDO NI CORY AQUINO
54 LABAN SA PARTIDO NI GLORIA
55 LABAN NG DEMOKRATIKONG PILIPINO
56 PARTIDO NI JUN LOZADA
57 PARTIDO NI SILVERIO
58 AMANTE
59 POVERTY
60 PARTIDO NI GOV.MIGS DOMINGUEZ (SARANGGANI)
61 PARTIDO NI MAYOR AGUILA
62 DUTERTE PARA SA MASA
63 SAMAHANG WARAY
64 KILUSAN NG MASANG PILIPINO
65 CHRISTIAN MUSLIM DEMOCRATIC FEDERATION
66 THE TEACHER
95 Other party
96 None
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 266 ; Min. 1 ; Max. 66

Variable Format: numeric


PL_PRTY: R: Party affiliation: Poland

Location:

Width: 2

Question: PL_PRTY - Poland: Party affiliation

Which party or organization did you vote in parliamentary election on the 21 X 2007?




0 NAP, other countries
1 LPR League of Polish Families
2 LiD Left and Democrats
3 MN German Minority
4 Womens Party
5 PO Civic Platform of Republic of Poland
6 PPP Polish Labor Party
7 PSL Polish Peasants Party
8 PiS Law and Justice Party
9 Patriotic Self-Defense
10 Self-Defense of the Republic of Poland
95 Other party
97 Refused
98 Don't know
99 No answer, did not vote


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 817 ; Min. 1 ; Max. 95

Variable Format: numeric


RU_PRTY: R: Party affiliation: Russia

Location:

Width: 2

Question: RU_PRTY - Russia: Party affiliation

Which party did you vote for at the last election?



0 NAP, other countries
1 Pensioners Party/ Party of Social Justice
2 Union of right forces
3 Yabloko
4 Russian Ecological Party ´Green´ (Panfilov A.)
5 Country Party of Russia (Lapshin M.)
7 Party of Revival/ Russian Party of Life (Seleznev G./ Miro)
8 Motherland (Glazyev S.)
9 Liberal Democratic Party of Russia (Ghirinovsky V.)
10 United Russia (Gryzlov B.)
11 Communist Party of Russian Federation (Zyuganov G.)
95 Other Party
96 Against all/ threw out/ damaged voting paper
97 Refused
98 Don't know, don't remember if I voted
99 No answer, did not vote


Range of Valid Data Values: 1- 96

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 946 ; Min. 1 ; Max. 96

Variable Format: numeric


SE_PRTY: R: Party affiliation: Sweden

Location:

Width: 2

Question: SE_PRTY - Sweden: Party affiliation

Which political party do you mostly sympathise with?



0 NAP, other countries
1 Centre Party - C
2 Liberal Party - FP
3 Christian Democrats - KD
4 Green Party (Ecologists) - MP
5 Conservative Party - M
6 Social Democratic Party - S
7 Left Party (Socialists) - V
95 Other Party
96 No party preference
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 1236 ; Min. 1 ; Max. 95

Variable Format: numeric


SI_PRTY: R: Party affiliation: Slovenia

Location:

Width: 2

Question: SI_PRTY - Slovenia: Party affiliation

Suppose next Sunday would be a parliamentary election day. Which party would you vote for?



0 NAP, other countries
1 DESUS-Democratic ret
2 LDS-Liberal Democrats
3 SLS-Peoples Party
4 SNS-Slovenian Nation
5 SDS-Slovenian Democratic Party
6 NSI-New Slovenia
7 SD - Social Democrats
8 SMS-Youth Party
9 Green parties
10 AS - Active Slovenia
95 Other Party
96 Would not vote
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 576 ; Min. 1 ; Max. 95

Variable Format: numeric


SK_PRTY: R: Party affiliation: Slovak Republic

Location:

Width: 2

Question: SK_PRTY - Slovakia: Party affiliation

If parliamentary elections were held this week, would you vote? Which political party would you vote?


0 NAP, other countries
1 ANO - Alliance of New Citizens
2 KSS - Communist Party
3 KDH - Christian Democratic Movement
4 HZDS - Movement for Democratic Slovakia, Peoples Party
5 SF - Free Forum
6 SDKU - DS - Slovak Democratic Christian Union - Democratic Party
7 SNS - Slovak National Party
8 SMER - SD SMER - Social Democracy
9 SMK - Hungarian Coalition Party
10 OTHER: SZ Party of Greens
96 Would not vote, no party preference
98 Don't know
99 No answer


Range of Valid Data Values: 1- 10

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 620 ; Min. 1 ; Max. 10

Variable Format: numeric


TW_PRTY: R: Party affiliation: Taiwan

Location:

Width: 2

Question: TW_PRTY - Taiwan: Party affiliation

There are several political parties in Taiwan, such as KMT, DPP, PFP, NP and TSU. Which party do you support?



0 NAP, other countries
1 KMT - Kuo Min Tang
2 DPP - Democratic Progressive Party
3 PFP - People First Party
4 TSU - Taiwan Solidarity Union
6 NP - New Party
95 Other Party
96 Don't support any party
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 755 ; Min. 1 ; Max. 95

Variable Format: numeric


US_PRTY: R: Party affiliation: USA

Location:

Width: 2

Question: US_PRTY - United States: Party affiliation

Generally speaking, do you usually think of yourself as a Republican, Democrat, Independent, or what?
Would you call yourself a strong Republican/ Democrat or not a very strong Republican/ Democrat? Do you think of yourself as closer to the Republican or Democratic Party?


0 NAP, other countries
1 Strong Democrat
2 Not very strong Democrat
3 Independent, close Democrat
4 Independent
5 Independent, close Republican
6 Not very strong Republican
7 Strong Republican
95 Other Party
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 1531 ; Min. 1 ; Max. 95

Variable Format: numeric


UY_PRTY: R: Party affiliation: Uruguay

Location:

Width: 2

Question: UY_PRTY - Uruguay: Party affiliation

With what political party are you affiliated or toward what political party would you lean?



0 NAP, other countries
1 Red Party
2 National Party
3 Wide front Party
4 Independent Party
95 Other Party
96 No party preference
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 945 ; Min. 1 ; Max. 95

Variable Format: numeric


ZA_PRTY: R: Party affiliation: South Africa

Location:

Width: 2

Question: ZA_PRTY - South Africa: Party affiliation

If there was an election tomorrow, for which party would you vote?



0 NAP, other countries
1 African Christian Democratic Party - ACDP
2 African National Congress - ANC; incl. SACP and COSATU
3 Azanian People's Organisation - AZAPO
4 Democratic Party or Alliance - DP or DA
5 Freedom Front Plus or Vryheidsfront Plus - FF+ or VF+
6 Independent Democrats - ID
7 Inkatha Freedom Party - IFP
8 Minority Front - MF
9 New National Party - NNP
10 Pan-Africanist Congress - PAC
11 United Christian Democratic Party - UCDP
12 United Democratic Movement - UDM
94 Uncertain
95 Other party
96 Will not vote
97 Refused
98 Don't know
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 96- 990

Summary Statistics: Valid 2251 ; Min. 1 ; Max. 95

Variable Format: numeric


VOTE_LE: R: Vote last election: yes, no

Location:

Width: 1

Question: Voted last election

AR: Do you clearly remember for which candidate you voted in the first turn of the 2003 presidential elections - the only one that took place, because Menem won the first turn but he withdrew from the second turn?
AT: Which party did you vote for at the last national elections, September, 28, 2008?
AU: Did you vote in the Federal Election held on October 9, 2004?
CH: Which party did you vote for at the last parliamentary election (Nationalratswahl) in October, 2003?
CL: Are you registered to vote? Did you vote on the last parliamentary elections of December 2005?
CY: Have you voted in the last parliamentary elections?
CZ: Let’s go back to the last elections to the Chamber of Deputies that were held on 2 and 3 July, 2006. Did you take part in the elections?
DE: The last general election took place on September, 18, 2005. Were you eligible to vote in that election? Did you vote?
DO: Did you vote in the last presidential elections in 2004?
FI: Did you vote in the last parliamentary elections in 2003?
FR: Did you vote in the first round of the French Presidental Elections, 2002?
HR: Did you vote in last general election?
IE: Did you vote in the last General Election?
IL: Did you vote in the last election?
KR: Did you vote in the last Local Government elections (May, 2006)?
LV: Did you vote in the 9th Parliament elections on the 7th of October 2006?
MX: Did you vote in the federal elections of July, 2, 2006 for President of the Republic?
NO: Did you vote in the national election this year?
NZ: At the 2005 General Election, who did you vote for?
PH: Did you vote in the May 10, 2004 election or not?
PL: Did you vote in the elections to the Seym and Senate on the 21 X 2007?
RU: Did you vote at the last election in 2003?
SE: Did you vote in the latest general elections?
SI: It has past two years since last parliamentary elections. Did you vote?
SK: In June 2006, elections to National Council of the Slovak Republic were held. Did you vote?
TW: Did you vote in the last (December, 2004) legislator election?
US: In 2004, you remember that Kerry ran for President on the Democratic ticket against Bush for the Republicans. Do you remember for sure whether or not you voted in that election?
UY: Did you vote in the last National Elections in 2004?
ZA: For which party did you vote for in the last election, 2004?



0 NAP, not eligible
1 Yes
2 No
8 Don't know
9 No answer

in Flanders (FLA):
0 Not available

in Switzerland (CH):
0 Not available

in Taiwan (TW):
0 Not available


Range of Valid Data Values: 1- 2

Range of Invalid Data Values: 089

Summary Statistics: Valid 39819 ; Min. 1 ; Max. 2

Variable Format: numeric


RELIG: R: Religious denomination

Location:

Width: 3

Question: Religion - religious denomination

AU: Do you have a religion? If yes, please tell us what it is.
CH: Do you belong to a religion? If yes, to which one?
CL: To which religion or church do you belong or feel close to?
CZ: What is your religious affiliation?
DE: May I ask you which religious confession you belong to? What kind of religious confession is this?
DO: In religious matters, do you consider yourself as a believer or not a believer? Inside what religious denomination, do you consider yourself to be in?
FI: Do you belong to a church or other religious denomination?
FR: Do you consider that you belong to a religion? If yes, which one?
GB: Do you regard yourself as belonging to any particular religion? If yes, which?
HR: Do you belong to a religious group or community, denomination or church? If yes: Which one is that?
IE: What is your current religious denomination?
JP: Do you follow any religion? Indicate the religion you profess, irrespective of ceremonial occasions.
KR: What is your religion?
LV SI: Which religious group (confession) do you belong to?
NO: Do you belong to ...
NZ: What is your current religion or religious denomination?
PL: Which religion, church or denomination do you feel related to?
PH: What is your religion at present?
SE: Do you belong to a church or religious parish? Which church, parish, communion, or religion is it?
TW: What is your religious belief?
US: What is your religious preference? Is it Protestant, Catholic, Jewish, some other religion, or no religion. (If Protestant) What specific denomination is that? Constructed by using three original variables.
UY: Could you please tell me what your religion or church is, or to what church or religion do you feel closer?
ZA: If you belong to a religion, please indicate which one.



0 No religion
100 Roman Catholic
110 Greek Catholic
200 Protestant
210 Anglican, Church of England, Episcopal
220 Baptists
230 Congregationalists
240 European Free Church (Anabaptists)
241 Mennonite
250 Lutheran, evangelical church
260 Methodist
270 Pentecostal
271 Full Gospel Church of God
272 Apostolic Faith Mission
273 Intern Pentecostal Holiness
274 St Johnes Apostolic Faith Mission
275 Nazareth Baptist Church
276 Zion Christian Church
280 Presbyterian, Church of Scotland
281 GB: Free Presbytarian
282 Jehovas Witnesses
283 Church of Christ
284 New Apostolic
285 LDS Church, Apostle Twelve
286 Church of God a Saints of Christ
287 Church of God
290 Other Protestants (no spec. denom.)
291 Brethren
292 Mormon
293 Salvation Army
294 Assemblies of God
295 Seventh Day Adventists
296 CZ: Hussites
297 Unitarians,AU: Uniting church
298 United Church CA
299 United Church of Christ
300 Orthodox; Eastern Orthodox
310 Greek Orthodox
320 Russian Orthodox
325 LV: Old Believers
390 Orthodox (no spec. mentioned)
400 Other Christian Groups
401 PH: Aglipayan
402 Born Again
403 Alliance
404 Dating Daan
405 Jesus Miracle Crusad
406 Jesus is Lord
407 Christians
408 Espiritista
409 Iglesia ni Christo
410 Phil Independent Church
413 Bible Christian
423 Four Square Gospel
425 Assembly of Yahweh
490 Unspecified Christian Groups
500 Jewish
510 Orthodox Jewish
520 Conservative Jewish
530 Reformist Jewish
590 Jewish Religion general
600 Islam
610 Kharijism
620 Mutazilism
630 Sunni
640 Shiism
650 Ismailis
660 Other Muslim Religions
670 Druse
690 Muslim,Mohammedan,Islam
700 Buddhists
790 Buddhism general
800 Hinduism
810 Specific Groups
820 Sikhism
890 Hinduism general
900 Other Asian Religion
901 Shintoism
902 Taoism
903 Confucianism
950 Other East Asian Religion
960 Other Religions
961 NZ: Ratana
962 US: Native American
963 UY: Afro brazilian religion
970 Other non-Christian Religions
998 Don't know
999 No answer

in Hungary (HU):
997 Not available


Range of Valid Data Values: 0- 970

Range of Invalid Data Values: 997- 999

Summary Statistics: Valid 48018 ; Min. 0 ; Max. 970

Variable Format: numeric


RELIGGRP: R: Religious main groups (derived)

Location:

Width: 2

Question: Religious main groups: compressed variable derived from the coding scheme in RELIG
(For detailed country specific question text see RELIG)



1 No religion
2 Roman Catholic
3 Protestant
4 Christian Orthodox
5 Jewish
6 Islam
7 Buddhism
8 Hinduism
9 Other Christian Religions
10 Other Eastern Religions
11 Other Religions
98 Don't know
99 No answer

in Hungary (HU):
0 Not available

in Uruguay (UY):
1 No religion; I believe in God, but I do not feel close to any religion


Range of Valid Data Values: 1- 11

Range of Invalid Data Values: 09899

Summary Statistics: Valid 48018 ; Min. 1 ; Max. 11

Variable Format: numeric


ATTEND: R: Attendance of religious services

Location:

Width: 2

Question: Attendance of religious services.

AU CL CZ HR KR LV NZ PH SE US UY: How often do you attend religious services in general?
CH: How often in general do you take part to religious services?
DE HU: As a rule, how often do you go to church?
DO: How often do you assist to church or other religious services?
FI: How often do you attend worship services or other religious services, ceremonies or events?
FR: Except marriages, funerals and baptisms, how often do you attend a religious cult?
GB: (If any religion) Apart from such special occasions as weddings, funerals and baptisms, how often nowadays do you attend services or meetings connected with your religion?
JP: How often do you attend a place of worship or prayer? Exclude ceremonial occasions such as wedding or funerals.
NO: How often do you attend religious services or other religious meetings? (Do not include weddings, funerals etc.).
PL: How often do you attend mass and religious services?
SI: Do you ever attend religious services? If yes, how often?
TW: How often do you participate in religious activities?
ZA: Apart from special occasions such as weddings, funerals and baptisms, how often do you attend services or meetings connected with your religion?



1 Several times a week
2 Once a week
3 2 or 3 times a month
4 Once a month
5 Several times a year
6 Once a year
7 Less frequently than once a year
8 Never
97 Refused
98 Don't know, varies too much
99 No answer

in Israel (IL):
1 Several times a week, every day


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 48128 ; Min. 1 ; Max. 8

Variable Format: numeric


TOPBOT: R:Top Bottom self-placement 10 pt scale

Location:

Width: 2

Question: Top - Bottom self-placement (10 pt scale)

AU DE KR PL SI US ZA: In our society there are groups of people which tend to be towards the top and groups which tend to be towards the bottom? Below is a scale that runs top to bottom. Where would you put yourself on this scale?
BG MX: Poor - Rich self placement
CH: In Switzerland, there are people who are placed better than of others. Where would you place yourself on a scale from 1 to 10, if 1 is the lowest value and 10 the highest value?
CL: In our society there are groups that place themselves on the highest levels, and groups that place themselves on the lowest levels. Here is a scale that goes from the lowest to the highest level. Where on this scale would you place yourself?
CY: In our society there are groups which are high and groups which are low. Where would you place yourself in this scale which starts from lowest and goes to higher?
CZ: In our society, there are groups which are considered to have high social status and on contrary groups of low social status: Where would you place yourself on this scale? (01. low social status ......10. high social status)
FI: There are different classes in our society. Some social classes are higher and some lower. On a scale from 1 to 10 where 10 is the highest class and 1 is the lowest, where would you place yourself?
FR: In our society, there are groups which are rather at the top of the society and the others which are rather below. Here is a scale which goes of the highest at the lowest. Where do you think you stand on this scale?
HR: In our society there are groups of people that hold higher or lower social position. Where would you locate yourself on the scale, that ranges from 10 (top) to 1 (bottom)?
HU: Where would you place yourself on a 10 point scale regarding your social
circumstances?
IE: People have different ideas about social classes and who belongs to them. In your own case, if you had to classify yourself in terms of this kind of ladder, where would you place yourself?
JP: If current Japanese society were divided into 10 strata, to which stratum do you think you belong?
LV: In our society there are groups of people which are closer to the top of the society and some which are closer to the bottom? Where do you think you are on this scale?
NO: In Norway some groups of people are almost at the top of the social ladder while others are almost at the bottom. Where on the scale would you place yourself?
NZ: In terms of your social status, which one of the following categories do you think you fit into?
PH: At present, where will you put yourself on this card regarding your current situation in life?
PL: In our society, there are social groups that occupy higher positions and others that occupy lower positions. Below is a scale that runs from top to bottom. Where would you place yourself on this scale? (01. Bottom, 10. Top)
SE: In our society there are some groups that are seen as higher and other groups that are seen as lower. Here you find a scale from top to bottom. Where would you place yourself on this scale?
TW: If people in society are divided into 10 social strata, where 1 means the lowest and 10 means the highest, which status do you think you belong to?
UY: If we had a rank of the Uruguayan families from 1 to 10 according to their standard of life, where the poorest families would be placed in the level 1 and the richest families would be placed in the level 10. Where would you place your family in your rank?



1 Lowest, 01
2 02
3 03
4 04
5 05
6 06
7 07
8 08
9 09
10 Highest, 10
97 Refused
98 Don't know
99 No answer

in Czech Republic (CZ):
0 Not available

in Great Britain (GB):
0 Not available

in Hungary (HU):
0 Not available

in United States of America (US):
0 Not available


Range of Valid Data Values: 1- 10

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 43372 ; Min. 1 ; Max. 10

Variable Format: numeric


AR_REG: Region: Argentina

Location:

Width: 2

Question: AR_REG - Argentina: Region

Address of interviewee, County, City, Town, Province or State
Using these information, we constructed the 6 Census regions:


0 NAP, other countries
1 Buenos Aires Metropolitan Area
2 Pampeana Region (center)
3 Cuyo Region (center west)
4 Northwest
5 Northeast
6 Patagonia Region (South)


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1657 ; Min. 1 ; Max. 6

Variable Format: numeric


AT_REG: Region: Austria

Location:

Width: 2

Question: AT_REG - Austria: Region

Not asked, coded by the research institute according to the location of interview


0 NAP, other countries
1 Vorarlberg
2 Tirol
3 Salzburg
4 Oberoesterreich
5 Kaernten
6 Steiermark
7 Burgenland
8 Niederoesterreich
9 Wien


Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1020 ; Min. 1 ; Max. 9

Variable Format: numeric


AU_REG: Region: Australia

Location:

Width: 2

Question: AU_REG - Australia: Region

Administrative variable. Part of sample address details (state).



0 NAP, other countries
1 New South Wales
2 Victoria
3 Queensland
4 South Australia
5 Western Australia
6 Tasmania
7 Australian Capital Territory
8 Northern Territory
99 No answer


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2763 ; Min. 1 ; Max. 8

Variable Format: numeric


BG_REG: Region: Bulgaria

Location:

Width: 2

Question: BG_REG - Bulgaria: Region


0 NAP, other countries
1 Sofia city
2 Burgas region
3 Varna region
4 Lovetch region
5 Montana region
6 Plovdiv region
7 Rousse region
8 Sofia region
9 Haskovo region


Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1000 ; Min. 1 ; Max. 9

Variable Format: numeric


CH_REG: Region: Switzerland

Location:

Width: 2

Question: CH_REG - Switzerland: Region

This variable is not asked. The postal code of the place the respondent lives is used to define CH_REG (=NUTS II).




0 NAP, other countries
1 Région lémanique
2 Espace Mittelland
3 Nordschweiz
4 Zürich
5 Ostschweiz
6 Zentralschweiz
7 Ticino


Range of Valid Data Values: 1- 7

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1003 ; Min. 1 ; Max. 7

Variable Format: numeric


CL_REG: Region: Chile

Location:

Width: 2

Question: CL_REG - Republic of Chile: Region

This question is not asked to respondents, but filled in by the interviewer.



0 NAP, other countries
1 Tarapaca
2 Antofagasta
3 Atacama
4 Coquimbo
5 Valparaiso
6 Libertador General
7 Maule
8 Biobio
9 La Araucania
10 Los Lagos
11 Aisen del General
12 Magallanes y Antartica Chilena
13 Metropolitana de Santiago


Range of Valid Data Values: 1- 13

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1505 ; Min. 1 ; Max. 13

Variable Format: numeric


CY_REG: Region: Cyprus

Location:

Width: 2

Question: CY_REG - Cyprus: Region

District


0 NAP, other countries
1 Nicosia
2 Limassol
3 Larnaca, Famagusta
4 Paphos


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1000 ; Min. 1 ; Max. 4

Variable Format: numeric


CZ_REG: Region: Czech Republic

Location:

Width: 2

Question: CZ_REG - Czech Republic: Region

No question. Recorded by the SC&C based on system of distribution of questionnaires. CZ_REG includes NUTS 3 classification, which respects legal administrative division into regions. NUTS 3 (regions) significantly differ in their sizes-NUTS 2 (areas) more correspond one to another and also to EU average.



0 NAP, other countries
1 Prague
2 Central Bohemia
3 South Bohemia
4 Pilsen
5 Carlsbad
6 Usti
7 Liberec
8 Hradec Kralove
9 Pardubice
10 Vysocina
11 South Moravia
12 Olomouc
13 Moravia-Silesia
14 Zlin


Range of Valid Data Values: 1- 14

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1222 ; Min. 1 ; Max. 14

Variable Format: numeric


DE_REG: Region: Germany

Location:

Width: 2

Question: DE_REG - Germany: Region

Which federal state is the interview fielded in? (BULA)


0 NAP, other countries
1 Schleswig-Holstein
2 Hamburg
3 Niedersachsen
4 Bremen
5 Nordrhein-Westfalen
6 Hessen
7 Rheinland-Pfalz
8 Baden-Wuerttemberg
9 Bayern
10 Saarland
11 Berlin-Ost
12 Mecklenburg-Vorpommern
13 Brandenburg
14 Sachsen-Anhalt
15 Thueringen
16 Sachsen
17 Berlin-West


Range of Valid Data Values: 1- 17

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1717 ; Min. 1 ; Max. 17

Variable Format: numeric


DO_REG: Region: Dominican Republic

Location:

Width: 2

Question: DO_REG - Dominican Republic: Region

These provinces were classified by region, according to the national census classification of the Dominican Republic.



0 NAP, other countries
1 DISTRITO NACIONAL Y SANTO DOMINGO
2 AZUA
3 BAHORUCO
4 BARAHONA
5 DAJABON
6 DUARTE
7 EL SEYBO
8 ESPAILLAT
9 LA ALTAGRACIA
10 ROMANA
11 LA VEGA
12 MARIA TRINIDAD SANCHEZ
13 MONTE CRISTY
14 PERAVIA
15 PUERTO PLATA
16 SAMANA
17 SAN CRISTOBAL
18 SAN JUAN DE LA MAGUANA
19 SAN PEDRO DE MACORIS
20 SANCHEZ RAMIREZ
21 SANTIAGO
22 VALVERDE
23 MONS. NOUEL
24 MONTE PLATA
25 HATO MAYOR
26 SAN JOSE DE OCOA
28 SALCEDO
29 SANTIAGO RODRIGUEZ


Range of Valid Data Values: 1- 29

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2164 ; Min. 1 ; Max. 29

Variable Format: numeric


FI_REG: Region: Finland

Location:

Width: 2

Question: FI_REG - Finland: Region

Not asked in the questionnaire. Added from the registers of the fieldwork institute (Statistics Finland).



0 NAP, other countries
1 Uusimaa
2 Varsinais-Suomi
4 Satakunta
5 Kanta-Haeme
6 Pirkanmaa
7 Paeijaet-Haeme
8 Kymenlaakso
9 South Karelia
10 Etelae-Savo
11 Pohjois-Savo
12 North Karelia
13 Central Finland
14 South Ostrobothnia
15 Ostrobothnia
16 Central Ostrobothnia
17 North Ostrobothnia
18 Kainuu
19 Lapland
20 Itae-Uusimaa
21 Aland


Range of Valid Data Values: 1- 21

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1354 ; Min. 1 ; Max. 21

Variable Format: numeric


FLA_REG: Region: Flanders

Location:

Width: 2

Question: FLA_REG - Flanders: Region



0 NAP, other countries
1 Antwerp
2 Flemish Brabant
3 West Flanders
4 East Flanders
5 Limburg
6 Brussels


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1257 ; Min. 1 ; Max. 6

Variable Format: numeric


FR_REG: Region: France

Location:

Width: 2

Question: FR_REG - France: Region

In which department is your main home?



0 NAP, other countries
1 Ain
2 Aisne
3 Allier
4 Alpes-Hte-Provence
5 Hautes-Alpes
6 Alpes-Maritimes
7 Ardeche
8 Ardennes
9 Ariege
10 Aube
11 Aude
12 Aveyron
13 Bouche-du-Rhone
14 Calvados
16 Charente
17 Charente-Maritime
18 Cher
19 Correze
20 Corse
21 Cote-d Or
22 Cotes-d Armor
23 Creuse
24 Dordogne
25 Doubs
26 Drome
27 Eure
28 Eure-et-Loire
29 Finistere
30 Gard
31 Haute-Garonne
32 Gers
33 Gironde
34 Herault
35 Ille-et-Vilaine
36 Indre
37 Indre-et-Loire
38 Isere
39 Jura
40 Landes
41 Loir-et-Cher
42 Loire
43 Haute-Loire
44 Loire-Atlantique
45 Loiret
46 Lot
47 Lot-et-Garonne
48 Lozere
49 Maine-et-Loire
50 Manche
51 Marne
52 Haute-Marne
53 Mayenne
54 Meurthe-et-Moselle
55 Meuse
56 Morbihan
57 Moselle
58 Nievre
59 Nord
60 Oise
61 Orne
62 Pas-de-Calais
63 Puy-de-Dome
64 Pyrenees-Atlantiques
65 Hautes-Pyrenees
66 Pyrenees-Orientales
67 Bas-Rhin
68 Haut-Rhin
69 Rhone
70 Haute-Saone
71 Saone-et-Loire
72 Sarthe
73 Savoie
74 Haute-Savoie
75 Ville de Paris
76 Seine-Maritime
77 Seine-et-Marne
78 Yvelines
79 Deux-Sevres
80 Somme
81 Tarn
82 Tarn-et-Garonne
83 Var
84 Vaucluse
85 Vendee
86 Vienne
87 Haute-Vienne
88 Vosges
89 Yonne
90 Belfort (Territoire)
91 Essone
92 Hauts-de-Seine
93 Seine-Saint-Denis
94 Val-de-Marne
95 Val-d Oise
99 No answer


Range of Valid Data Values: 1- 95

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2054 ; Min. 1 ; Max. 95

Variable Format: numeric


GB_REG: Region: Great Britain

Location:

Width: 2

Question: GB_REG - Great Britain: Region

This is part of the sample data and is not asked of Respondent.


0 NAP, other countries
1 Scotland
2 North, North West, Yorkshire Humbershire
3 West, East Midlands
4 Wales
5 East Anglia, South West, South-East
6 Greater London


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 906 ; Min. 1 ; Max. 6

Variable Format: numeric


HR_REG: Region: Croatia

Location:

Width: 2

Question: HR_REG - Croatia: Region

Region (IDIZ writes in):



0 NAP, other countries
1 Zagreb
2 North Croatia
3 Slavonija
4 Lika and Banovina
5 Istra and Hrvatsko primorje
6 Dalmacija


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1200 ; Min. 1 ; Max. 6

Variable Format: numeric


HU_REG: Region: Hungary

Location:

Width: 2

Question: HU_REG - Hungary: Region


0 NAP, other countries
1 Budapest
2 Baranya
3 Bacs-Kiskun
4 Bekes
5 Borsod-Abauj
6 Csongrad
7 Fejer
8 Gyor-Sopron
9 Hajdu-Bihar
10 Heves
11 Komarom
12 Nograd
13 Pest
14 Somogy
15 Szabolcs-Szatmar
16 Szolnok
18 Vas
19 Veszprem
20 Zala


Range of Valid Data Values: 1- 20

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1027 ; Min. 1 ; Max. 20

Variable Format: numeric


IE_REG: Region: Ireland

Location:

Width: 2

Question: IE_REG - Ireland: Region

Constructed from sample information on county location.
Not asked by interviewer, information entered by ESRI survey unit.


0 NAP, other countries
1 Border
2 Dublin
3 Mid-East
4 Midland
5 Mid-West
6 South-East
7 South-West
8 West


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2049 ; Min. 1 ; Max. 8

Variable Format: numeric


IL_REG: Region: Israel

Location:

Width: 2

Question: IL_REG - Israel: Region



0 NAP, other countries
1 North
2 South
3 Tel-Aviv
4 Jerusalem
5 Arab sector


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1344 ; Min. 1 ; Max. 5

Variable Format: numeric


JP_REG: Region: Japan

Location:

Width: 2

Question: JP_REG - Japan: Region

Nine administrative and geographic regions.



0 NAP, other countries
1 Hokkaido
2 Tohoku
3 Kanto
4 Koshin-etsu
5 Tokai, Hokuriku
6 Kinki
7 Chugoku
8 Shikoku
9 Kyushu


Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1253 ; Min. 1 ; Max. 9

Variable Format: numeric


KR_REG: Region: South Korea

Location:

Width: 2

Question: KR_REG - South Korea: Region

Individuals are sampled by the three-stage area probability sampling method. The total number of sample blocks (or clusters) is 200. The total sample blocks are distributed to 16 do’s or si’s at the province level, proportionate to the distribution of households in Korea (do=province).



0 NAP, other countries
1 Seoul
2 Gyeonggi-do
3 Inchon
4 Gangwon-do
5 Daejeon
6 Chungcheong-do
7 Gwangju
8 Jeolla-do
9 Pusan
10 Ulsan
11 Daegu
12 Gyeongsang-do
13 Jeju-do


Range of Valid Data Values: 1- 13

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1431 ; Min. 1 ; Max. 13

Variable Format: numeric


LV_REG: Region: Latvia

Location:

Width: 2

Question: LV_REG - Latvia: Region

Not asked to the Respondent.



0 NAP, other countries
1 Riga
2 Pieriga
3 Vidzeme
4 Kurzeme
5 Zemgale
6 Latgale


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1069 ; Min. 1 ; Max. 6

Variable Format: numeric


MX_REG: Region: Mexico

Location:

Width: 2

Question: MX_REG - Mexico: Region

This variable was not asked directly, it was automatically extracted from the states included in the designed sample.



0 NAP, other countries
1 Aguascalientes
2 Baja California
3 Baja California Sur
4 Campeche
5 Coahuila
6 Colima
7 Chiapas
8 Chihuahua
9 Distrito Federal
10 Durango
11 Guanajuato
12 Guerrero
13 Hidalgo
14 Jalisco
15 Mexico
16 Michoacan
17 Morelos
18 Nayarit
19 Nuevo Leon
20 Oaxaca
21 Puebla
22 Queretaro
23 Quintana Roo
24 San Luis Potosi
25 Sinaloa
26 Sonora
27 Tabasco
28 Tamaulipas
29 Tlaxcala
30 Veracruz
31 Yucatan
32 Zacatecas


Range of Valid Data Values: 1- 32

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1607 ; Min. 1 ; Max. 30

Variable Format: numeric


NO_REG: Region: Norway

Location:

Width: 2

Question: NO_REG - Norway: County

Data from Central Register for Persons.



0 NAP, other countries
1 Central East
2 East
3 South
4 West
5 Middle
6 North


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1143 ; Min. 1 ; Max. 6

Variable Format: numeric


NZ_REG: Region: New Zealand

Location:

Width: 2

Question: NZ_REG - New Zealand: Region

And in which area do you live?



0 NAP, other countries
1 Northland
2 Auckland
3 Thames Valley
4 Bay of Plenty
5 Waikato
6 Tongariro
7 East Cape
8 Hawkes Bay
9 Taranaki
10 Wanganui
11 Manawatu
12 Horowhenua
13 Wellington
14 Wairarapa
15 Nelson Bays
16 Marlborough
17 West Coast
18 Canterbury
19 Aorangi
20 Clutha-Centr Otago
21 Coastal-North Otago
22 Southland
99 No answer


Range of Valid Data Values: 1- 22

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 987 ; Min. 1 ; Max. 22

Variable Format: numeric


PH_REG: Region: Philippines

Location:

Width: 2

Question: PH_REG - Philippines: Area

This variable is part of the Household Socio-Demographic questionnaire.



0 NAP, other countries
1 Great Manila Area
2 Balance Luzon
3 Visayas
4 Mindanao


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1200 ; Min. 1 ; Max. 4

Variable Format: numeric


PL_REG: Region: Poland

Location:

Width: 2

Question: PL_REG - Poland: Region

Voivodeship: A variable coming from the sample description.



0 NAP, other countries
1 Dolnosklaskie
2 Kujawsko-Pomorskie
3 Lubelskie
4 Lubuskie
5 Lodzkie
6 Malopolska (S-E)
7 Mazowieckie
8 Opolskie
9 Podkarpackie
10 Podlaskie
11 Pomorskie
12 Slaskie
13 Swietokrzyskie
14 Warminsko-Mazurskie
15 Wielkopolskie
16 Zachodniopomorskie


Range of Valid Data Values: 1- 16

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1293 ; Min. 1 ; Max. 16

Variable Format: numeric


RU_REG: Region: Russia

Location:

Width: 2

Question: RU_REG - Russia: Region



0 NAP, other countries
1 North
2 North-West
3 Central
4 Volga-Vyatka
5 Black Earth
6 Volga Region
7 North Caucasus
8 Urals
9 West Siberia
10 East Siberia
11 Far East


Range of Valid Data Values: 1- 11

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2005 ; Min. 1 ; Max. 11

Variable Format: numeric


SE_REG: Region: Sweden

Location:

Width: 2

Question: SE_REG - Sweden: Region

Derived from register.



0 NAP, other countries
1 North
2 Mid North
3 Mid East
4 Stockholm
5 West
6 Goeteborg
7 Smaaland Gotland
8 South
9 Malmoe


Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1309 ; Min. 1 ; Max. 9

Variable Format: numeric


SI_REG: Region: Slovenia

Location:

Width: 2

Question: SI_REG - Slovenia: Region

Region is computed from the sample information. Slovenia does not have regions as political, administrative and legal bodies. Nevertheless, it is divided into 12 regions for statistical and administrative purposes.



0 NAP, other countries
1 Pomurska
2 Podravska
3 Koroska
4 Savinjska
5 Gorenjska
6 Zasavska
7 Osrednja
8 Spodnjeposavska
9 Dolenjska
10 Goriska
11 Obalnokraska
12 Kraska
99 No answer


Range of Valid Data Values: 1- 12

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1001 ; Min. 1 ; Max. 12

Variable Format: numeric


SK_REG: Region: Slovak Republic

Location:

Width: 2

Question: SK_REG - Slovakia: Region

Filled in by interviewer.


0 NAP, other countries
1 Bratislava county
2 Trnava county
3 Trencin county
4 Nitra county
5 Zilina county
6 Banska Bystrica county
7 Presov county
8 Kosice county


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1138 ; Min. 1 ; Max. 8

Variable Format: numeric


TW_REG: Region: Taiwan

Location:

Width: 2

Question: TW_REG - Taiwan: Region

Where do you live?
Zip code of the area where Respondent resides.



0 NAP, other countries
1 Keelung city
2 Taipei city
3 Taipei county
4 Taoyuan county
5 Hsinchu city
6 Hsinchu county
7 Miaoli county
8 Taichung city
9 Taichung county
10 Nantou county
11 Changhua county
12 Yunlin county
13 Chiayi city
14 chiayi county
15 Tainan city
16 Tainan county
17 Kaohsiung city
18 Kaohsiung county
19 Pingtung county
20 Ilan county
21 Hualien county


Range of Valid Data Values: 1- 21

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2147 ; Min. 1 ; Max. 21

Variable Format: numeric


US_REG: Region: USA

Location:

Width: 2

Question: US_REG - United States: Region

States were recoded into regions (U.S. Bureau of Census: Regional classification).


0 NAP, other countries
1 New England
2 Middle Atlantic
3 East North Central
4 West North Central
5 South Atlantic
6 East South Central
7 West South Central
8 Mountain
9 Pacific


Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1535 ; Min. 1 ; Max. 9

Variable Format: numeric


UY_REG: Region: Uruguay

Location:

Width: 2

Question: UY_REG - Uruguay: Region

No question. The answer is obtained from the codification of 'Region'.



0 NAP, other countries
1 Metropolitan statistical area of Montevideo
2 Rest of urban population


Range of Valid Data Values: 1- 2

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1437 ; Min. 1 ; Max. 2

Variable Format: numeric


ZA_REG: Region: South Africa

Location:

Width: 2

Question: ZA_REG - South Africa: Region

Derived from EA number (First digit) and recoded into provinces.



0 NAP, other countries
1 Western Cape
2 Eastern Cape
3 Northern Cape
4 Free State
5 Kwa-Zulu Natal
6 North West
7 Gauteng
8 Mpumalanga
9 Limpopo


Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2907 ; Min. 1 ; Max. 9

Variable Format: numeric


AR_SIZE: Size of community: Argentina

Location:

Width: 2

Question: AR_SIZE - Argentina: Size of community

Community size constructed, according to the population of places described in AR_REG


0 NAP, other countries
1 1.500.000 inhabitants and more
2 1.000.000 - 1.499.999 inhabitants
3 500.000 - 999.999 inhabitants
4 300.000 - 499.999 inhabitants
5 100000 - 299.999 inhabitants
6 50.000 - 99.999 inhabitants
7 10.000 - 49.999 inhabitants
8 2.000 - 9.999 inhabitants
9 Rural, less than 2.000 inhabitants


Range of Valid Data Values: 1- 9

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1657 ; Min. 1 ; Max. 9

Variable Format: numeric


AT_SIZE: Size of community: Austria

Location:

Width: 2

Question: AT_SIZE - Austria: Size of community

Not asked, coded by the research institute according to location of interview


0 NAP, other countries
1 More than 1.000.000 inhabitants
2 50.001-1.000.000 inhabitants
3 20.001- 50.000 inhabitants
4 10.001- 20.000 inhabitants
5 5.001- 10.000 inhabitants
6 3.001- 5.000 inhabitants
7 2.001 - 3.000 inhabitants
8 Up to 2.000 inhabitants


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1020 ; Min. 1 ; Max. 8

Variable Format: numeric


AU_SIZE: Size of community: Australia

Location:

Width: 2

Question: AU_SIZE - Australia: Size of community

Would you say you now live in ...



0 NAP, other countries
1 Inner metropolitan (over 100.000 people)
2 Outer metropolitan (over 100.000 people)
3 A large town (over 25.000 people)
4 A larger country town (over 10.000 people)
5 A small country town (under 10.000 people)
6 A rural area or on a farm
99 No answer


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2709 ; Min. 1 ; Max. 6

Variable Format: numeric


BG_SIZE: Size of community: Bulgaria

Location:

Width: 2

Question: BG_SIZE - Bulgaria: Size of community


0 NAP, other countries
1 Sofia
2 100.001-500.000 inhabitants
3 20.001-100.000 inhabitants
4 2.001-20.000 inhabitants
5 Up to 2.000 inhabitants


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1000 ; Min. 1 ; Max. 5

Variable Format: numeric


CH_SIZE: Size of community: Switzerland

Location:

Width: 2

Question: CH_SIZE - Switzerland: Size of community

This variable is not asked. The postal code of the place the respondent lives and the number of inhabitants of that place are used to construct CH_SIZE.



0 NAP, other countries
1 100.000 inhabitants and more
2 20.000 to 99.999 inhabitants
3 10.000 - 19.999 inhabitants
4 5.000 - 9.999 inhabitants
5 1.000 - 4.999 inhabitants
6 999 inhabitants or less


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1003 ; Min. 1 ; Max. 6

Variable Format: numeric


CL_SIZE: Size of community: Republic of Chile

Location:

Width: 2

Question: CL_SIZE - Republic of Chile: Size of community



0 Not available; NAP, other countries


Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 0 ;

Variable Format: numeric


CY_SIZE: Size of community: Cyprus

Location:

Width: 2

Question: CY_SIZE - Cyprus: Size of community

Population size of town or village


0 NAP, other countries
1 100.001 inhabitants and more
2 50.001-100. 000 inhabitants
4 5.001-20.000 inhabitants
5 1.001-5.000 inhabitants
6 Less than 1.000 inhabitants


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1000 ; Min. 1 ; Max. 6

Variable Format: numeric


CZ_SIZE: Size of community: Czech Republic

Location:

Width: 2

Question: CZ_SIZE - Czech Republic: Size of community

What size category does the community you live in belong to?




0 NAP, other countries
1 1.2 Mill. (Prague)
2 100.000 inhabitants and more, city
3 50.000 - 99.999 inhabitants
4 10.000 - 49.999 inhabitants
5 5.000 - 9.999 inhabitants
6 2.000 - 4.999 inhabitants
7 1.000 - 1.999 inhabitants
8 Less than 1.000 inhabitants
99 No answer


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1220 ; Min. 1 ; Max. 8

Variable Format: numeric


DE_SIZE: Size of community: Germany

Location:

Width: 2

Question: DE_SIZE - Germany: Size of community

Size of political community was constructed from place of interview; not asked by interviewer.



0 NAP, other countries
1 More than 500.000 inhabitants
2 100.000-499.999 inhabitants
3 50.000-99.999 inhabitants
4 20.000-49.999 inhabitants
5 5.000-19.999 inhabitants
6 2.000-4.999 inhabitants
7 Up to 1.999 inhabitants


Range of Valid Data Values: 1- 7

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1717 ; Min. 1 ; Max. 7

Variable Format: numeric


DO_SIZE: Size of community: Dominican Republic

Location:

Width: 2

Question: DO_SIZE - Dominican Republic: Size of community

The province was classified by the population, according to the National Statistic Office Census 2002.



0 NAP, other countries
1 Capital (Greater than 990 thousand)
2 Province 1 (550 to 990 thousand)
3 Province 2 (300 to 549 thousand)
4 Province 3 (200 to 299 thousand)
5 Province 4 (100 to 199 thousand)
6 Province 5 (Less than 100 thousand)


Range of Valid Data Values: 1- 6

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2164 ; Min. 1 ; Max. 6

Variable Format: numeric


FI_SIZE: Size of community: Finland

Location:

Width: 2

Question: FI_SIZE - Finland: Size of community

Not asked in the questionnaire. Added from the registers of the fieldwork institute (Statistics Finland).



0 NAP, other countries
1 180.000 inhabitants and more
2 50.000 - 179.999 inhabitants
3 20.000 - 49.999 inhabitants
4 8.000 - 19.999 inhabitants
5 Less than 8.000 inhabitants


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1354 ; Min. 1 ; Max. 5

Variable Format: numeric


FLA_SIZE: Size of community: Flanders

Location:

Width: 2

Question: FLA_SIZE - Flanders: Size of community



0 NAP, other countries
1 100.000 inhabitants and more
2 75.001-100.000 inhabitants
3 30.001-75.000 inhabitants
4 15.001-30.000 inhabitants
5 Less than 15.000 inhabitants


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1257 ; Min. 1 ; Max. 5

Variable Format: numeric


FR_SIZE: Size of community: France

Location:

Width: 2

Question: FR_SIZE - France: Size of community

How many inhabitants live in your town?



0 NAP, other countries
1 Greater Paris
2 More than 500.000 inhabitants
3 100.001-500.000 inhabitants
4 50.001-100.000 inhabitants
5 20.001-50.000 inhabitants
6 10.001-20.000 inhabitants
7 2.001-10.000 inhabitants
8 2.000 inhabitants or less
99 No answer


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1986 ; Min. 1 ; Max. 8

Variable Format: numeric


GB_SIZE: Size of community: Great Britain

Location:

Width: 2

Question: GB_SIZE - Great Britain: Size of community

Population density in quartiles.
This is part of the sample data and is not asked of Respondent.


0 NAP, other countries
1 More than 37.3 persons per square hectare
2 18.11 to 37.3 persons per square hectare
3 3.96 to 18.11 persons per square hectare
4 Less than 3.96 persons per square hectare


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 906 ; Min. 1 ; Max. 4

Variable Format: numeric


HR_SIZE: Size of community: Croatia

Location:

Width: 2

Question: HR_SIZE - Croatia: Size of community

Size of settlement (IDIZ writes in)



0 NAP, other countries
1 100.000 inhabitants and more
2 10.000-100.000 inhabitants
3 2.000-10.000 inhabitants
4 Less than 2.000 inhabitants


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1200 ; Min. 1 ; Max. 4

Variable Format: numeric


HU_SIZE: Size of community: Hungary

Location:

Width: 2

Question: HU_SIZE - Hungary: Size of community


0 NAP, other countries
1 2.000.000 inhabitants, Budapest
2 More than 100.000 inhabitants
3 50.001-100.000 inhabitants
4 20.001-50.000 inhabitants
5 10.001-20.000 inhabitants
6 5.001-10.000 inhabitants
7 2.001-5.000 inhabitants
8 1.001-2.000 inhabitants


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1027 ; Min. 1 ; Max. 8

Variable Format: numeric


IE_SIZE: Size of community: Ireland

Location:

Width: 2

Question: IE_SIZE - Ireland: Size of community

Would you say you live in:

IE_SIZE uses information from the sample (location of PSU) as well as information from the above item.


0 NAP, other countries
1 Dublin
2 Large city, 70.000 to 100.000 inhabitants
4 Large town, 10.000 to 49.999 inhabitants
5 Small town, 3.000 to 9.999 inhabitants
6 Village up to 3.000 inhabitants
7 Farm, rural property


Range of Valid Data Values: 1- 7

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2049 ; Min. 1 ; Max. 7

Variable Format: numeric


IL_SIZE: Size of community: Israel

Location:

Width: 2

Question: IL_SIZE - Israel: Size of community



0 NAP, other countries
1 More than 100.000 inhabitants
2 50.001-100.000 inhabitants
3 20.001-50.000 inhabitants
4 10.001-20.000 inhabitants
5 5.001-10.000 inhabitants
6 2.501-5.000 inhabitants
7 2.500 inhabitants or less


Range of Valid Data Values: 1- 7

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1344 ; Min. 1 ; Max. 7

Variable Format: numeric


JP_SIZE: Size of community: Japan

Location:

Width: 2

Question: JP_SIZE - Japan: Size of community



0 NAP, other countries
1 1.000.000 inhabitants or more
2 300.000-999.999 inhabitants
3 100.000-299.999 inhabitants
4 Less than 100.000 inhabitants
5 Town or village


Range of Valid Data Values: 1- 5

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1253 ; Min. 1 ; Max. 5

Variable Format: numeric


KR_SIZE: Size of community: South Korea

Location:

Width: 2

Question: KR_SIZE - South Korea: Size of community



0 NAP, other countries
1 1.000.001 inhabitants and more: Metropolitan city
2 100.001-1.000.000 inhabitants: Large city
3 50.001-100.000 inhabitants: Middle city
4 50.000 inhabitants or less: Rural city


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1431 ; Min. 1 ; Max. 4

Variable Format: numeric


LV_SIZE: Size of community: Latvia

Location:

Width: 2

Question: LV_SIZE - Latvia: Size of community

Not asked to the Respondent.



0 NAP, other countries
1 More than 500.000 inhabitants
2 100.001-500.000 inhabitants
3 50.001-100.000 inhabitants
4 20.001-50.000 inhabitants
5 10.001-20.000 inhabitants
6 5.001-10.000 inhabitants
7 2.000-5.000 inhabitants
8 Less than 2.000 inhabitants


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1069 ; Min. 1 ; Max. 8

Variable Format: numeric


MX_SIZE: Size of community: Mexico

Location:

Width: 2

Question: MX_SIZE - Mexico: Size of community

The number of inhabitants in the town where you live is:
Data from the National Institute of Statistic, and Geography of Mexico INEGI, 2005



0 NAP, other countries
1 500.000 inhabitants and more
2 100.000-499.000 inhabitants
3 50.000-99.999 inhabitants
4 15.000-49.999 inhabitants
5 10.000-14.999 inhabitants
6 5.000-9.999 inhabitants
7 2.500-4.999 inhabitants
8 2.499 inhabitants or less


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1607 ; Min. 1 ; Max. 8

Variable Format: numeric


NO_SIZE: Size of community: Norway

Location:

Width: 2

Question: NO_SIZE - Norway: Size of community

Total population by 01.01.2007; data from NSD’s Commune Database.



0 NAP, other countries
1 100.000 inhabitants and more, urban
2 30.000-99.999 inhabitants
3 3.000-29.999 inhabitants
4 Less than 3.000 inhabitants, rural


Range of Valid Data Values: 1- 4

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1143 ; Min. 1 ; Max. 4

Variable Format: numeric


NZ_SIZE: Size of community: New Zealand

Location:

Width: 2

Question: NZ_SIZE - New Zealand: Size of community

What is the population of place where you live?



0 NAP, other countries
1 Large city, 100.000 inhabitants and more
2 Medium city, 50.000-99.999 inhabitants
3 Small city, 30.000-49.999 inhabitants
4 Large town, 10.000-29.999 inhabitants
5 Small town, 1.000-9.999 inhabitants
6 Village, less than 1.000 inhabitants
7 Farm, rural property
99 No answer


Range of Valid Data Values: 1- 7

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 945 ; Min. 1 ; Max. 7

Variable Format: numeric


PH_SIZE: Size of community: Philippines

Location:

Width: 6

Question: PL_SIZE - Poland: Size of community

Size of residence: A variable coming from the sample description.



0 NAP, other contries


Range of Valid Data Values: 203- 120520

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1200 ; Min. 203 ; Max. 120520

Variable Format: numeric


PL_SIZE: Size of community: Poland

Location:

Width: 2

Question: PL_SIZE - Poland: Size of community

Size of residence: A variable coming from the sample description.



0 NAP, other countries
1 More than 500.000 inhabitants
2 250.000-500.000 inhabitants
3 100.000-249.999 inhabitants
4 50.000-99.999 inhabitants
5 25.000-49.999 inhabitants
6 10.000-24.999 inhabitants
7 Less than 10.000 inhabitants
8 Village


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 1293 ; Min. 1 ; Max. 8

Variable Format: numeric


RU_SIZE: Size of community: Russia

Location:

Width: 2

Question: RU_SIZE - Russia: Size of community



0 NAP, other countries
1 More than 1.000.000 inhabitants
2 500.001-1.000.000 inhabitants
3 250.001-500.000 inhabitants
4 100.001-250.000 inhabitants
5 50.001-100.000 inhabitants
6 20.001-50.000 inhabitants
7 Urban, less than 20.000 inhabitants
8 Rural


Range of Valid Data Values: 1- 8

Range of Invalid Data Values: 97- 990

Summary Statistics: Valid 2005 ; Min. 1 ; Max. 8

Variable Format: numeric


SE_SIZE: Size of community: Sweden

Location:

Width: 2

Question: SE_SIZE - Sweden: Size of community

Derived from register.



0 NAP, other countries
1 More than 300.000 inhabitants
2 90.000-300.000 inhabitants
3 27.000-90.000 inhabitants
4 Less than 27.000 inhabitants