Long-term archiving documentation for study 'ZA3811' GESIS GESIS © 2007 - 2014 GESIS 2014-09-01 DSDM Long-Term Archiving Wizard Dataset Documentation Manager DDI2 XML Dataset Documentation Manager Database Access EVS - European Values Study 1999 - Integrated Dataset ZA3811 Zulehner, Paul M. Rotman, David Titarenko, Larissa Billiet, Jaak Bawin, Bernadette Dobbelaere, Karel Kerkhofs, Jan Fotev, Georgy Marinov, Mario Baloban, Josip Rabusic, Ladislav Gundelach, Peter Saar, Andrus Pehkonen, Juhani Puranen, Bi Tchernia, Jean-François Jagodzinski, Wolfgang Anheier, Helmut Harding, Stephen Gari, Aikaterini Georgas, James Mylonas, Kostas Tomka, Miklós Jónsson, Fridrik H. Olafsson, Stefan Fahey, Tony Sinnott, Richard Gubert, Renzo Zepa, Brigita Alishauskiene, Rasa Juknevicius, Stanislovas Estgen, Pol Legrand, Michel Abela, Anthony M. Arts, Wil A. Hagenaars, Jacques A.P. Halman, Loek Luijkx, Ruud Hayes, Bernadette C. Jasinska-Kania, Aleksandra Konieczna, Joanna Marody, Mira Cabral, Manuel Villaverde Ramos, Alice Vala, Jorge Pop, Lucien Voicu, Malina Zamfir, Catalin Bashkirova, Elena Kusá, Zuzana Malnar, Brina Tos, Niko Elzo, Javier Orizo, Francisco Andrés Pettersson, Thorleif Esmer, Yilmaz Balakireva, Olga 10.4232/1.10789 GESIS - Leibniz Institute for the Social Sciences 2011-11-20 Cologne, Germany GESIS Data Archive for the Social Sciences Version 3.0.0 (20.11.2011), doi:10.4232/1.10789 GESIS Data Archive for the Social Sciences Society, Culture Religion and Weltanschauung Religion and values Social behaviour and attitudes Mass political behaviour, attitudes / opinion Government, political systems and organisation Social stratification and groupings Family life and marriage Economic systems and development Online Variable Overview. Moral, religious, societal, political, work, and family values of Europeans. Topics: The question program is divided in three parts: besides a common question program for all countries there is a voluntary supplement program and further country-specific questions. 1. Common question program: leisure time: importance of areas of life; feeling of happiness; memberships and honorary activities in clubs, parties, organizations, citizens´ initiatives and occupation organizations; interactions in leisure time; tolerance regarding minorities, those of other beliefs and foreigners; interhuman trust; self-effectiveness (scale); general contentment with life (scale). working world: importance of selected characteristics of occupational work (scale); personal employment; general work satisfaction (scale); self-determination at work (scale); work ethic (scale); attitude to achievement-based pay and following work instructions without criticism; priority of nationals over foreigners as well as men over women with shortage of jobs; assumed priority of individual or social reasons for the situation of economic need of individuals; freedom of the unemployed to reject a job offer (scale). politics: party preference; attitude to foreign workers in one´s country; fear of the future; assimilation and integration of immigrants; concept of a just society (more welfare state or liberalism, scale); interest in political news in the media; individualism and thinking of the community; interest in politics; political participation; self-assessment on a left-right continuum (scale); self-responsibility or governmental provision (scale); attitude to competition freedom and entrepreneur freedom (scale); satisfaction with democracy; attitude to the current political system of the country and judgement on the political system of the country ten years ago (scale); preference for a democratic political system or for strong leadership of an individual politician (scale); attitude to democracy (scale); loss of national characteristics through unification of Europe. religion: individual or general standard for good and evil; current and possibly earlier religious denomination; current frequency of church attendance and at the age of 12; importance of religious celebration at birth, marriage and funeral; self-assessment of religiousness; ability of the religious community in moral questions, with problems in family life, with spiritual needs and current social problems of the country; belief in God, life after death, hell, heaven, sin, telepathy and reincarnation; belief in God or nihilism (scale); importance of God in one´s life (scale); comfort and strength through belief; prayer and Meditation; frequency of prayer; possession and belief in lucky charms or talisman (scale); reading and observing horoscopes; attitude to separation of church (religion) and state (scale). family and marriage: most important criteria for a successful marriage (scale); attitude to marriage and traditional family structure (scale); attitude to one´s own children (scale); attitude to traditional understanding of one´s role of man and woman in occupation and family (scale); attitude to a traditional or liberal parent-child relation; importance of educational goals; attitude to abortion. society: preference for individual freedom or social equality; postmaterialism (scale); preferred social development (scale); attitude to technical progress; trust in institutions; observing individual human rights in the country; attitude to environmental protection (scale); closeness to family, neighborhood, the people in the region, countrymen, Europeans and humanity; closeness to older people, the unemployed, foreigners and handicapped as well as readiness to make an effort for these groups; personal reasons for assistance with older people as well as foreigners; identification with the city, region, the nation, Europe and the world; national pride. morals and sexuality: moral attitudes (tax evasion, theft, use of drugs, lying, bribe money, corruption, euthanasia, suicide, environmental pollution, alcohol at the wheel; scale); moral attitudes to partnership and sexuality (homosexuality, abortion, divorce, promiscuity; scale); assumed spreading of immoral behavior in the population of the country (scale); attitude to punishment dependent on the situation of culprit or victim (scale). Demography: sex; year of birth; marital status and living together with a partner; number of children; school education; age at termination of school training; employment; superior function and span of control; company size; occupation (ISCO88) and occupational position; length of unemployment; size of household; ages of children in household; head of household; characteristics of head of household; household income. Also encoded was: city size; region; country. 2. In some countries the following additional questions were posed: attitude to privatization of national companies (scale); readiness to go to war for one´s country; attitude to equal income or income based on achievement (scale); preference for individual or government provision for pensions as well as for housing (scale); attitude to fundamental or only cautious changes in one´s own life; attitude to revolutionary change of society; judgement on the solvability of environmental problems, crime and unemployment at national level; job security; thoughts about the meaning of life; belief in angels and supernatural powers; attitude to conducting religious practices in school; attitude to dealing with different religious traditions; attitude to prohibiting books and films hostile to religion; assessment of the influence of the churches on politics in the country; moral concepts about traveling without a ticket, political murder, embryo research, gene manipulation, prostitution, pedophilia (scale); trust in countrymen. Interviewer rating: social class of respondent; willingness of respondent to cooperate. Also encoded: date of interview; length of interview.]]> AT Austria BY Belarus BE Belgium BG Bulgaria HR Croatia CZ Czech Republic DK Denmark EE Estonia FI Finland FR France DE Germany GB-GBN Great Britain GR Greece HU Hungary IS Iceland IE Ireland IT Italy LV Latvia LT Lithuania LU Luxembourg MT Malta NL Netherlands GB-NIR Northern Ireland PL Poland RO Romania RU Russian Federation SK Slovakia SI Slovenia ES Spain SE Sweden TR Turkey UA Ukraine 1999 - 2001 France: 1999-03-23 to 1999-04-10 Great Britain: 1999-10-01 to 1999-11-30 Germany West: 1999-10-01 to 1999-12-31 Germany East: 1999-10-01 to 1999-12-31 Austria: 1999-08-01 to 1999-10-31 Italy: 1999-03-01 to 1999-05-31 Spain: 1999-03-01 to 1999-04-30 Portugal: 1999-10-01 to 1999-12-31 The Netherlands: 1999-03-01 to 1999-08-31 Belgium: 1999-03-01 to 1999-06-30 Denmark: 1999-04-01 to 1999-11-30 Sweden: 1999-11-15 to 2000-02-13 Finland: 2000-09-01 to 2000-10-31 Iceland: 1999-06-01 to 1999-12-31 Northern Ireland: 1999-07-01 to 1999-11-30 Ireland: 1999-10-01 to 2000-02-28 Estonia: 1999-10-01 to 1999-10-31 Latvia: 1999-03-01 to 1999-03-31 Lithuania: 1999-11-01 to 1999-12-31 Poland: 1999-02-01 to 1999-03-31 Czech Republic: 1999-03-01 to 1999-05-31 Slovak Republic: 1999-06-01 to 1999-07-31 Hungary: 1999-11-01 to 1999-12-31 Romania: 1999-07-01 to 1999-07-31 Bulgaria: 1999-06-01 to 1999-07-31 Croatia: 1999-03-01 to 1999-04-30 Greece: 1999-03-01 to 1999-06-30 Russian Federation: 1999-04-01 to 1999-06-30 Malta: 1999-03-01 to 1999-05-31 Luxembourg: 1999-07-01 to 1999-10-31 Slovenia: 1999-10-01 to 1999-10-31 Ukraine: 1999-12-01 to 1999-12-31 Belarus: 2000-03-01 to 2000-04-30 Turkey: 2001-09-01 to 2001-10-01 A - Data and documents are released for academic research and teaching. GESIS Data service, Tel.: +49 (0)221-476 94-420 Related Publications EVS Repository. ]]> Further Remarks 41125513 SPSS, Stata Archive and ID Variables [ZA3811] Weight Perceptions of Life Politics and Society Work Religion and Morale Family National Identity Environment Socio Demographics and Interview char. GESIS study number (EVS wave) GESIS Study Number: ZA3811 GESIS study number (EVS national datasets) GESIS Study Number (national datasets): ZA3779 Austria ZA3807 Belarus ZA3784 Belgium ZA3799 Bulgaria ZA3800 Croatia ZA3795 Czechoslovakia/Czech Republic ZA3785 Denmark ZA3791 Estonia ZA3787 Finland ZA3776 France ZA3778 Germany ZA3777 Great Britain ZA3801 Greece ZA3797 Hungary ZA3788 Iceland ZA3790 Ireland ZA3780 Italy ZA3792 Latvia ZA3793 Lithuania ZA3804 Luxembourg ZA3803 Malta ZA3783 Netherlands ZA3789 Northern Ireland ZA3794 Poland ZA3782 Portugal ZA3798 Romania ZA3802 Russian Federation ZA3796 Slovakia/Slovak Republic ZA3805 Slovenia ZA3781 Spain ZA3786 Sweden ZA3808 Turkey ZA3806 Ukraine GESIS archive version GESIS Archive Version: 3.0.0 '2011-11-20' This variable identifies the GESIS archive version number of this data set and the corresponding release date, recorded as an alphanumeric string. The version number is composed of a sequence of three numbers. The major 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). GESIS archive version (EVS national datasets) GESIS Archive Version (National Datasets): 3.0.0 '2011-11-20' This variable identifies the GESIS archive version number of this data set and the corresponding release date, recorded as an alphanumeric string. The version number is composed of a sequence of three numbers. The major 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). unified respondent number Unified respondent number Code comprises 12 digits: YYYY (year of wave), CCC (ISO-Code for country), and NNNNN (case number) original respondent number -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know Original respondent number interviewer number -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know Romania: ID-Number assigned to every interview, not interviewer number. Interviewer number survey year -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know For detailed information, see variables cntry_y, cntry1_y. Survey year: 1999 country code 40 Austria Austria 56 Belgium Belgium 100 Bulgaria Bulgaria 112 Belarus Belarus 191 Croatia Croatia 203 Czech Republic Czech Republic 208 Denmark Denmark 233 Estonia Estonia 246 Finland Finland 250 France France 276 Germany Germany 300 Greece Greece 348 Hungary Hungary 352 Iceland Iceland 372 Ireland Ireland 380 Italy Italy 428 Latvia Latvia 440 Lithuania Lithuania 442 Luxembourg Luxembourg 470 Malta Malta 528 Netherlands Netherlands 616 Poland Poland 620 Portugal Portugal 642 Romania Romania 643 Russian Federation Russian Federation 703 Slovak Republic Slovak Republic 705 Slovenia Slovenia 724 Spain Spain 752 Sweden Sweden 792 Turkey Turkey 804 Ukraine Ukraine 826 Great Britain Great Britain 909 Northern Ireland Northern Ireland Country/Sample country code [with split ups] 40 Austria Austria 56 Belgium Belgium 100 Bulgaria Bulgaria 112 Belarus Belarus 191 Croatia Croatia 203 Czech Republic Czech Republic 208 Denmark Denmark 233 Estonia Estonia 246 Finland Finland 250 France France 300 Greece Greece 348 Hungary Hungary 352 Iceland Iceland 372 Ireland Ireland 380 Italy Italy 428 Latvia Latvia 440 Lithuania Lithuania 442 Luxembourg Luxembourg 470 Malta Malta 528 Netherlands Netherlands 616 Poland Poland 620 Portugal Portugal 642 Romania Romania 643 Russian Federation Russian Federation 703 Slovak Repulic Slovak Republic 705 Slovenia Slovenia 724 Spain Spain 752 Sweden Sweden 792 Turkey Turkey 804 Ukraine Ukraine 826 Great Britain Great Britain 900 Germany West Germany West 901 Germany East Germany East 909 Northern Ireland Northern Ireland Country/Sample: With split-up for Germany (East and West Germany) country abbreviation Country abbreviation AT Austria; BE Belgium; BG Bulgaria; BY Belarus; CZ Czech Republic; DE Germany; DK Denmark; EE Estonia; ES Spain; FI Finland; FR France; GB-GBN Great Britain; GR Greece; HR Croatia; HU Hungary; IE Ireland; IS Iceland; IT Italy; LT Lithuania; LU Luxembourg; LV Latvia; MT Malta; GB-NIR Northern Ireland; NL Netherlands; PL Poland; PT Portugal ; RO Romania; RU Russia; SE Sweden; SK Slovakia; SI Slovenia; TR Turkey; UA Ukraine All surveyed countries and regions, i.e. including separate samples for East-/West-Germany, Great Britain/Northern Ireland, are coded in accordance with the ISO 3166-1-alpha-2 country code, if available. ISO 3166-2 is applied for the United Kingdom subdivisions. ISO standard codes are not available for the “historical” East/West subdivision of Germany (DE-E/DE-W). country abbreviation [with split ups] Country abbreviation with split-up for Germany (East and West Germany) AT Austria; BE Belgium; BG Bulgaria; BY Belarus; CZ Czech Republic; DE-E Germany East; DE-W Germany West; DK Denmark; EE Estonia; ES Spain; FI Finland; FR France; GB-GBN Great Britain; GR Greece; HR Croatia; HU Hungary; IE Ireland; IS Iceland; IT Italy; LT Lithuania; LU Luxembourg; LV Latvia; MT Malta; GB-NIR Northern Ireland; NL Netherlands; PL Poland; PT Portugal ; RO Romania; RU Russia; SE Sweden; SK Slovakia; SI Slovenia; TR Turkey; UA Ukraine All surveyed countries and regions, i.e. including separate samples for East-/West-Germany, Great Britain/Northern Ireland, are coded in accordance with the ISO 3166-1-alpha-2 country code, if available. ISO 3166-2 is applied for the United Kingdom subdivisions. ISO standard codes are not available for the “historical” East/West subdivision of Germany (DE-E/DE-W). country_year -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 401999 Austria (1999) Austria (1999) 561999 Belgium (1999) Belgium (1999) 1001999 Bulgaria (1999) Bulgaria (1999) 1122000 Belarus (2000) Belarus (2000) 1911999 Croatia (1999) Croatia (1999) 2031999 Czech Republic (1999) Czech Republic (1999) 2081999 Denmark (1999) Denmark (1999) 2331999 Estonia (1999) Estonia (1999) 2462000 Finland (2000) Finland (2000) 2501999 France (1999) France (1999) 2761999 Germany (1999) Germany (1999) 3001999 Greece (1999) Greece (1999) 3481999 Hungary (1999) Hungary (1999) 3521999 Iceland (1999) Iceland (1999) 3721999 Ireland (1999) Ireland (1999) 3801999 Italy (1999) Italy (1999) 4281999 Latvia (1999) Latvia (1999) 4401999 Lithuania (1999) Lithuania (1999) 4421999 Luxembourg (1999) Luxembourg (1999) 4701999 Malta (1999) Malta (1999) 5281999 Netherlands (1999) Netherlands (1999) 6161999 Poland (1999) Poland (1999) 6201999 Portugal (1999) Portugal (1999) 6421999 Romania (1999) Romania (1999) 6431999 Russian Federation (1999) Russian Federation (1999) 7031999 Slovak Republic (1999) Slovak Republic (1999) 7051999 Slovenia (1999) Slovenia (1999) 7241999 Spain (1999) Spain (1999) 7521999 Sweden (1999) Sweden (1999) 7922001 Turkey (2001) Turkey (2001) 8041999 Ukraine (1999) Ukraine (1999) 8261999 Great Britain (1999) Great Britain (1999) 9091999 Northern Ireland (1999) Northern Ireland (1999) Country/Year country_[with split ups]- year -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 401999 Austria (1999) Austria (1999) 561999 Belgium (1999) Belgium (1999) 1001999 Bulgaria (1999) Bulgaria (1999) 1122000 Belarus (2000) Belarus (2000) 1911999 Croatia (1999) Croatia (1999) 2031999 Czech Republic (1999) Czech Republic (1999) 2081999 Denmark (1999) Denmark (1999) 2331999 Estonia (1999) Estonia (1999) 2462000 Finland (2000) Finland (2000) 2501999 France (1999) France (1999) 3001999 Greece (1999) Greece (1999) 3481999 Hungary (1999) Hungary (1999) 3521999 Iceland (1999) Iceland (1999) 3721999 Ireland (1999) Ireland (1999) 3801999 Italy (1999) Italy (1999) 4281999 Latvia (1999) Latvia (1999) 4401999 Lithuania (1999) Lithuania (1999) 4421999 Luxembourg (1999) Luxembourg (1999) 4701999 Malta (1999) Malta (1999) 5281999 Netherlands (1999) Netherlands (1999) 6161999 Poland (1999) Poland (1999) 6201999 Portugal (1999) Portugal (1999) 6421999 Romania (1999) Romania (1999) 6431999 Russian Federation (1999) Russian Federation (1999) 7031999 Slovak Republic (1999) Slovak Republic (1999) 7051999 Slovenia (1999) Slovenia (1999) 7241999 Spain (1999) Spain (1999) 7521999 Sweden (1999) Sweden (1999) 7922001 Turkey (2001) Turkey (2001) 8041999 Ukraine (1999) Ukraine (1999) 8261999 Great Britain (1999) Great Britain (1999) 9001999 Germany West (1999) Germany West (1999) 9011999 Germany East (1999) Germany East (1999) 9091999 Northern Ireland (1999) Northern Ireland (1999) Country/Year with split-up for Germany (East and West Germany) weight -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know General weight factor Variable ‘weight_g’ contains national weights. For most countries gender, age, and region were adjusted to the distribution in the national population. For Germany (united) additionally the disproportional East and West German samples have been adjusted. For summarized information on weighting in EVS 1999, see the Source book of the 1999/2000 EVS. Belarus, Denmark, Greece, Iceland, Italy, Latvia, Romania, Slovenia, Spain, and Turkey are weighted by 1. weight [with split ups] -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know Weight - Germany East and West Variable ‘weight_s’ is based on ‘weight_g’. It weights East and West German samples separately and has to be applied whenever East or West Germany is analyzed separately. Weight_s includes the special weight factor for Germany and the national weight for each sample. Belarus, Denmark, Greece, Iceland, Italy, Latvia, Romania, Slovenia, Spain, and Turkey are weighted by 1. how important in your life: work (Q1A) Show card 1 Please say, for each of the following, how important it is in your life. Work -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 very important very important 2 quite important quite important 3 not important not important 4 not at all important not at all important Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v8) and WVS 2000 (v8). how important in your life: family (Q1B) Family other missing question not asked not applicable no answer don't know very important quite important not important not at all important Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v4) and WVS 2000 (v4). how important in your life: friends and acquaintances (Q1C) Friends and acquaintances other missing question not asked not applicable no answer don't know very important quite important not important not at all important Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v5) and WVS 2000 (v5). how important in your life: leisure time (Q1D) Leisure time other missing question not asked not applicable no answer don't know very important quite important not important not at all important Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v6) and WVS 2000 (v6). how important in your life: politics (Q1E) Politics other missing question not asked not applicable no answer don't know very important quite important not important not at all important Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v7) and WVS 2000 (v7). how important in your life: religion (Q1F) Religion other missing question not asked not applicable no answer don't know very important quite important not important not at all important Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v9) and WVS 2000 (v9). service to others important in life (Q7_SE) Please say, for each of the following, how important it is in your life. Service to others -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: very important SE: very important 2 SE: rather important SE: rather important 3 SE: not very important SE: not very important 4 SE: not at all important SE: not at all important Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. how often discuss politics with friends (Q2) When you get together with your friends, would you say you discuss political matters frequently, occasionally or never? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 frequently frequently 2 occasionally occasionally 3 never never Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v37) and WVS 2000 (v32). environment: giving part of income (Q3A) Show card 3 I am now going to read out some statements about the environment. For each one read out, can you tell me whether you agree strongly, agree, disagree or strongly disagree? Read out each statement and code an answer for each I would give part of my income if I were certain that the money would be used to prevent environmental pollution -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 strongly agree strongly agree 2 agree agree 3 disagree disagree 4 strongly disagree strongly disagree Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, response categories). environment: increase taxes to prevent environmental pollution (Q3B) I would agree to an increase in taxes if the extra money is used to prevent environmental pollution other missing question not asked not applicable no answer don't know strongly agree agree disagree strongly disagree environment: government should reduce environmental pollution (Q3C) The Government has to reduce environmental pollution but it should not cost me any money other missing question not asked not applicable no answer don't know strongly agree agree disagree strongly disagree taking all things together how happy are you (Q4) Show card 4 Taking all things together, would you say you are: -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 very happy very happy 2 quite happy quite happy 3 not very happy not very happy 4 not at all happy not at all happy Great Britain: See v11_GB Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v10) and WVS 2000 (v11). thinking of the environment and taking all things together how happy are you (Q4_GB) Thinking of the environment and taking all things together, would you say you are ... Read out -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 GB: very happy GB: very happy 2 GB: quite happy GB: quite happy 3 GB: not very happy GB: not very happy 4 GB: not at all happy GB: not at all happy Great Britain: Question not comparable to Master Questionnaire (in Master Questionnaire: 'taking all things together, would you say you are:') do you belong to: welfare organisation (Q5a_A) Show card 5 Please look carefully at the following list of voluntary organisations and activities and say ... a) which, if any, do you belong to? Code all mentioned under (a) Social welfare services for elderly, handicapped or deprived people -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 not mentioned not mentioned 1 mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v39). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: religious organisation Q5a_B) Religious or church organisations other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v40). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: cultural activities (Q5a_C) Education, arts, music or cultural activities other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v41). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: trade unions (Q5a_D) Trade unions other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v42). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: political parties/groups (Q5a_E) Political parties or groups other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v43). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: local community action (Q5a_F) Local community action on issues like poverty, employment, housing, racial equality other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v44). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: 3w-development/human rights (Q5a_G) Third world development or human rights other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v45). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: environment, ecology, animal rights (Q5a_H) Conservation, the environment, ecology, animal rights other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v46). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: professional associations (Q5a_I) Professional associations other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v47). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: youth work (Q5a_J) Youth work (e.g. scouts, guides, youth clubs etc.) other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v48). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: sports/recreation (Q5a_K) Sports or recreation other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v49). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: womens groups (Q5a_L) Women's groups other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v50). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: peace movement (Q5a_M) Peace movement other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v51). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: voluntary health organisations (Q5a_N) Voluntary organisations concerned with health other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v52). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: other groups (Q 5a_O) Other groups other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v53). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you belong to: none (Q5a_P) None other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Turkey: Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: welfare organisation (Q5b_A) Show card 5 Please look carefully at the following list of voluntary organisations and activities and say ...b) which, if any, are you currently doing unpaid voluntary work for? Code all mentioned under (b) Social welfare services for elderly, handicapped or deprived people -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 not mentioned not mentioned 1 mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v54). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: religious organisation (Q5b_B) Religious or church organisations other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v55). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: cultural activities (Q5b_C) Education, arts, music or cultural activities other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v56). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: trade unions (Q5b_D) Trade unions other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v57). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: political parties/groups (Q5b_E) Political parties or groups other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v58). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: local community action (Q5b_F) Local community action on issues like poverty, employment, housing, racial equality other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v59). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: 3w-development/human rights (Q5b_G) Third world development or human rights other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v60). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: environment, ecology, animal rights (Q 5b_H) Conservation, the environment, ecology, animal rights other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v61). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: professional associations (Q5b_I) Professional associations other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v62). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: youth work (Q5b_J) Youth work (e.g. scouts, guides, youth clubs etc.) other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v63). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: sports/recreation (Q5b_K) Sports or recreation other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v64). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: womens groups (Q5b_L) Women's groups other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v65). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: peace movement (Q5b_M) Peace movement other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v66). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: voluntary health organisations (Q5b_N) Voluntary organisations concerned with health other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 2000 (v67). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: other groups (Q5b_O) Other groups other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). do you work unpaid for: none (Q5b_P) None other missing question not asked not applicable no answer don't know not mentioned mentioned Denmark: Additional filter: an additional answer category 'not member of any organisation' (ingen) has been implemented. Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Poland: For v12-v26 and v30-v44 -1 and -2 were not included. Malta and Sweden: For v12-v26 and v30-v44 -2 was not included. Netherlands: v30-v44 -1 and -2 were not included. Turkey: For v12-v26 and v30-v44 -2 was not included. Additional filter question (c1) before Q5 (v12-v46). Respondents who are not member of any organisation have been filtered to v48 (coded as 0 'not mentioned'). Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. v12 - v45 The questionnaire contains two additional subquestions: 'I don't know' (v28) and 'No answer' (v29). They were recoded to -1 and -2 for each item of the question battery; because the missing values -1, -2, and -3 were used differently, they were recoded into 0 ('not belonging to a voluntary organization' and 'not doing voluntary work for those organizations'). how often spend time with friends (Q6A) Show card 6 I'm going to ask how often you do certain things. For each activity, would you say you do them every week or nearly every week; once or twice a month; only a few times a year; or not at all? Interviewer: Code 'Not applicable' when respondent is not involved in work, church or club Spend time with friends -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 every week every week 2 once/twice a month once or twice a month 3 few times a year a few times a year 4 not at all not at all Austria, Bulgaria, Czech Republic, Germany, Denmark, Finland, Ireland, Italy, Malta, Northern Ireland, Netherlands, Portugal, Slovenia and Spain: Code -3 'not applicable' on v48 was included in the country questionnaire, while this code was not mentioned in the Master Questionnaire. how often spend time with colleagues (Q6B) Spend time with colleagues from work or your profession outside the workplace other missing question not asked not applicable no answer don't know every week once/twice a month few times a year not at all Hungary, Latvia, Luxembourg, Poland, and Slovak Republic: -3 'not applicable' is not included in the country questionnaire. In variable v49_filt category -3 ‘not applicable’ was reconstructed. Furthermore inconsistencies between filtering of other countries were corrected in v49_filt. how often spend time in church (Q6C) Spend time with people at your church, mosque or synagogue other missing question not asked not applicable no answer don't know every week once/twice a month few times a year not at all Hungary, Latvia, Luxembourg, Poland, and Slovak Republic: -3 'not applicable' is not included in the country questionnaire. In variable v50_filt category -3 ‘not applicable’ was reconstructed. Furthermore inconsistencies between filtering of other countries were corrected in v50_filt. Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. how often spend time in clubs+voluntary associations (Q6D) Spend time with people in clubs and voluntary associations (sport, culture, communal) other missing question not asked not applicable no answer don't know every week once/twice a month few times a year not at all Hungary, Latvia, Luxembourg, Poland, and Slovak Republic: -3 'not applicable' is not included in the country questionnaire. In variable v51_filt category -3 ‘not applicable’ was reconstructed. Furthermore inconsistencies between filtering of other countries were corrected in v51_filt. how often spend time with colleagues (Q6B) (category -3 'nap' reconstructed with filter) other missing question not asked not applicable no answer don't know every week once/twice a month few times a year not at all Variable constructed on basis of v87 and v306 to correct for inconsistencies between filter instructions of countries. For Hungary, Latvia, Luxembourg, Poland, and Slovak Republic category -3 'not applicable' was reconstructed according to this filter (v87 respondent is employed or v306 has paid employment. If v87=1 or range (v306=1,3)). For all other countries filter was corrected accordingly. In case of no deviation v49_filt=v49. how often spend time in church (Q6C) (category -3 'nap' reconstructed with filter) other missing question not asked not applicable no answer don't know every week once/twice a month few times a year not at all Variable constructed on basis of v13 and v101 to correct for inconsistencies between filter instructions of countries. For Hungary, Latvia, Luxembourg, Poland, and Slovak Republic category -3 ‘not applicable' was reconstructed according to this filter (v101 belonging to a religious denomination or v13 belonging to religious or church organisations: If any (1,v101,v13)). For all other countries filter was corrected accordingly. In case of no deviation v50_filt=v50). Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. how often spend time in clubs+voluntary associations (Q6D) (category -3 'nap' reconstructed with filter) other missing question not asked not applicable no answer don't know every week once/twice a month few times a year not at all Variable constructed on basis of v27 and v45 to correct for inconsistencies between filter instructions of countries. For Hungary, Latvia, Luxembourg, Poland, and Slovak Republic category -3 'not applicable' was reconstructed according to this filter (v27 belonging to voluntary organisations and activities or v45 doing unpaid voluntary work: If any (0,v27,v45)). For all other countries filter was corrected accordingly. In case of no deviation v51_filt=v51. don't like as neighbours: people with criminal record (Q7A) Show card 7 On this list are various groups of people. Could you please sort out any that you would not like to have as neighbours? Code an answer for each People with a criminal record -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 not mentioned not mentioned 1 mentioned mentioned Belarus, Romania: Since no show card was used in the field questionnaire it seems that they have asked the battery item by item, and not as block. Hungary: See v52_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v51), WVS 2000 (v68). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: people of different race (Q7B) People of a different race other missing question not asked not applicable no answer don't know not mentioned mentioned Hungary: See v53_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v52), WVS 2000 (v69). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: left wing extremists (Q7C) Left wing extremists other missing question not asked not applicable no answer don't know not mentioned mentioned Hungary: See v54_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: heavy drinkers (Q7D) Heavy drinkers other missing question not asked not applicable no answer don't know not mentioned mentioned Hungary: See v55_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v54), WVS 2000 (v70). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: right wing extremists (Q7E) Right wing extremists other missing question not asked not applicable no answer don't know not mentioned mentioned Hungary: See v56_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: large families (Q7F) People with large families other missing question not asked not applicable no answer don't know not mentioned mentioned Hungary: See v57_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: emotionally unstable people (Q7G) Emotionally unstable people other missing question not asked not applicable no answer don't know not mentioned mentioned Hungary: See v58_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v55), WVS 2000 (v71). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: muslims (Q7H) Muslims other missing question not asked not applicable no answer don't know not mentioned mentioned Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Hungary: See v59_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v56), WVS 2000 (v72). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: christians (Q7H_TR) Show card 7 On this list are various groups of people. Could you please sort out any that you would not like to have as neighbours? Code an answer for each Christians -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 TR: not mentioned TR: not mentioned 1 TR: mentioned TR: mentioned Turkey: Question not comparable to Master Questionnaire (deviating item: 'Christians' instead of 'Muslims'). Trend question: EVS 2008 and EVS 1999. Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: immigrants/foreign workers (Q7I) Immigrants/foreign workers other missing question not asked not applicable no answer don't know not mentioned mentioned Hungary: See v60_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v57), WVS 2000 (v73). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: people with AIDS (Q7J) People who have AIDS other missing question not asked not applicable no answer don't know not mentioned mentioned Hungary: See v61_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v58), WVS 2000 (v74). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: drug addicts (Q7K) Drug addicts other missing question not asked not applicable no answer don't know not mentioned mentioned Hungary: See v62_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v59), WVS 2000 (v75). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: homosexuals (Q7L) Homosexuals other missing question not asked not applicable no answer don't know not mentioned mentioned Hungary: See v63_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v60), WVS 2000 (v76). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: jews (Q7M) Jews other missing question not asked not applicable no answer don't know not mentioned mentioned Hungary: See v64_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v56B), WVS 2000 (v77). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: gypsies (Q7N) Gypsies other missing question not asked not applicable no answer don't know not mentioned mentioned Hungary: See v65_HU Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v56N), WVS 2000 (v77H). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: people with criminal record (Q7A_HU) On this list are various groups of people. Could you please sort out any that you would not like to have as neighbours? People with a criminal record -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 HU: not mentioned HU: not mentioned 1 HU: mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: people of different race (Q7B_HU) People of different race other missing question not asked not applicable no answer don't know HU: not mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: left wing extremists (Q7C_HU) Left wing extremists other missing question not asked not applicable no answer don't know HU: not mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: heavy drinkers (Q7D_HU) Heavy drinkers other missing question not asked not applicable no answer don't know HU: not mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: right wing extremists (Q7E_HU) Right wing extremists other missing question not asked not applicable no answer don't know HU: not mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: large families (Q7F_HU) Large families other missing question not asked not applicable no answer don't know HU: not mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: emotionally unstable people (Q7G_HU) Emotionally unstable people other missing question not asked not applicable no answer don't know HU: not mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: muslims (Q7H_HU) Muslims other missing question not asked not applicable no answer don't know HU: not mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: immigrants/foreign workers (Q7I_HU) Immigrants/foreign workers other missing question not asked not applicable no answer don't know HU: not mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: people with AIDS (Q7J_HU) People with AIDS other missing question not asked not applicable no answer don't know HU: not mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: drug addicts (Q7K_HU) Drug addicts other missing question not asked not applicable no answer don't know HU: not mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: homosexuals (Q7L_HU) Homosexuals other missing question not asked not applicable no answer don't know HU: not mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: jews (Q7M_HU) Jews other missing question not asked not applicable no answer don't know HU: not mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. don't like as neighbours: gypsies (Q7N_HU) Gypsies other missing question not asked not applicable no answer don't know HU: not mentioned HU: mentioned Hungary: Variables v52_hu to v65_hu are not comparable to the Master Questionnaire variables v52-v65. In the Hungarian field questionnaire each item was read to the respondent, so the respondent had to decide in each case (and did not choose from a list as is the case in the other countries). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. people can be trusted/cant be too careful (Q8) Generally speaking, would you say that most people can be trusted or that you can't be too careful in dealing with people? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 most people can be trusted most people can be trusted 2 cannot be too careful cannot be too careful Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v27), WVS 2000 (v25). do you think most people try to take advantage of you (Q34_SE) Do you think most people would try to take advantage of you if they got a chance, or would they try to be fair? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: would take advantage SE: would take advantage 2 SE: try to be fair SE: try to be fair Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. how much control over your life (Q9) Show card 9 Some people feel they have completely free choice and control over their lives, and other people feel that what they do has no real effect on what happens to them. Please use the scale to indicate how much freedom of choice and control you feel you have over the way your life turns out? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 not at all none at all 10 a great deal a great deal 2 3 4 5 6 7 8 9 Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v66), WVS 2000 (v82). how satisfied are you with your life (Q10) Show card 10 All things considered, how satisfied are you with your life as a whole these days? Please use this card to help with your answer. -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 dissatisfied dissatisfied 10 satisfied satisfied 2 3 4 5 6 7 8 9 Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v65), WVS 2000 (v81). flag variable: why do people live in need - most/second important (Q11/Q12) -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know 0 consistent consistent 1 inconsistent inconsistent For detailed information, see EVS 1999 variable report. Flag variable: Indicates inconsistencies for the variables v69/v70. If most important reason is identical with next important reason. if v69=v70 then f69=1 why do people live in need: most important (Q11) Show card 11 Why are there people in this country who live in need? Here are four possible reasons. Which one reason do you consider to be most important? Code one under (a) below -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 unlucky because they are unlucky 2 laziness or lack of willpower because of laziness and lack of willpower 3 injustice in society because of injustice in our society 4 part modern progress it's an inevitable part of modern progress 5 none of these none of these Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Please see flag variable f69 which indicates inconsistencies for variables v69/v70. why do people live in need: 2nd most important (Q12) Show card 11 And which reason do you consider to be the second most important? Code one under (b) below -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 unlucky because they are unlucky 2 laziness or lack of willpower because of laziness and lack of willpower 3 injustice in society because of injustice in our society 4 part modern progress it's an inevitable part of modern progress 5 none of these none of these Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Please see flag variable f69 which indicates inconsistencies for variables v69/v70. important in a job: good pay (Q13A) Show card 13 Here are some aspects of a job that people say are important. Please look at them and tell me which ones you personally think are important in a job? Code all mentioned Good pay -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 not mentioned not mentioned 1 mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v75), WVS 2000 (v86). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: pleasant people (Q13B) Pleasant people to work with other missing question not asked not applicable no answer don't know not mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: not too much pressure (Q13C) Not too much pressure other missing question not asked not applicable no answer don't know not mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v76), WVS 2000 (v87). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: job security (Q13D) Good job security other missing question not asked not applicable no answer don't know not mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v77), WVS 2000 (v88). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: chances for promotion (Q13E) Good chances for promotion other missing question not asked not applicable no answer don't know not mentioned mentioned Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: respected job (Q13F) A job respected by people in general other missing question not asked not applicable no answer don't know not mentioned mentioned Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: good hours (Q13G) Good hours other missing question not asked not applicable no answer don't know not mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v79), WVS 2000 (v90). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: use initiative (Q13H) An opportunity to use initiative other missing question not asked not applicable no answer don't know not mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v80), WVS 2000 (v91). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: useful for society (Q13I) A useful job for society other missing question not asked not applicable no answer don't know not mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: generous holidays (Q13J) Generous holidays other missing question not asked not applicable no answer don't know not mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v81), WVS 2000 (v92). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: meeting people (Q13K) Meeting people other missing question not asked not applicable no answer don't know not mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: achieving something (Q13L) A job in which you feel you can achieve something other missing question not asked not applicable no answer don't know not mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v82), WVS 2000 (v93). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: responsible job (Q13M) A responsible job other missing question not asked not applicable no answer don't know not mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v83), WVS 2000 (v94). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: interesting job (Q13N) A job that is interesting other missing question not asked not applicable no answer don't know not mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v84), WVS 2000 (v95). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: meeting abilities (Q13O) A job that meets one's abilities other missing question not asked not applicable no answer don't know not mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v85), WVS 2000 (v96). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. flag variable: important in a job: none of these (Q13) -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know 0 consistent consistent 1 inconsistent 1 inconsistent 1 2 inconsistent 2 inconsistent 2 3 inconsistent 3 inconsistent 3 4 inconsistent 4 inconsistent 4 For detailed information, see EVS 1999 variable report. Flag variable: Indicates inconsistencies for the variables v71 to v86 and O2/O3. Inconsistent 1 If respondent mentions at least one aspect and "none". if v86=1 and any of v71 to v85 and O2 to O3=1 then f86=1 Inconsistent 2 If respondent does not mention any aspect and does not mention "none". if v86=0 and all of v71 to v85 and O2 to O3=0 then f86=2 Inconsistent 3 If respondent does not mention any aspect and "none" is missing. if v86=-5 and all of v71 to v85 and O2 to O3=0 then f86=3 Inconsistent 4 If respondent mentions at least one aspect and "none" is missing. if v86=-5 and any of v71 to v85 and O2 to O3=1 then f86=4 important in a job: none of these (Q13R) Show card 13 Here are some aspects of a job that people say are important. Please look at them and tell me which ones you personally think are important in a job? Code all mentioned None of these -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 job aspect mentioned not mentioned 1 no job aspect mentioned mentioned Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. are you employed yes/no (Q14) Are you yourself employed or not? if "yes" - go to 15; if "no" - go to 17 -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). how satisfied are you with your job (Q15) Show card 15 Overall, how satisfied or dissatisfied are you with your job? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 dissatisfied dissatisfied 10 satisfied satisfied 2 3 4 5 6 7 8 9 Luxembourg: Respondents with code 1 on v87 should have been asked v88 (N=3). Trend question: EVS 2008 and EVS 1999. how free are you to make decisions in job (Q16) Show card 16 How free are you to make decisions in your job? Please use this card to indicate how much decision-making freedom you feel you have. -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 none at all none at all 10 a great deal a great deal 2 3 4 5 6 7 8 9 Luxembourg: Respondents with code 1 on v87 should have been asked v89 (N=3). Trend question: EVS 2008 and EVS 1999. job needed to develop talents (Q17A) Ask all; show card 17 Do you agree or disagree with the following statements? To fully develop your talents, you need to have a job -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 agree strongly agree strongly 2 agree agree 3 agree nor disagree neither agree nor disagree 4 disagree disagree 5 disagree strongly disagree strongly Austria: See v90_AT Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 2000 (v97). humiliating receiving money without working (Q17B) It is humiliating to receive money without having to work for it other missing question not asked not applicable no answer don't know agree strongly agree agree nor disagree disagree disagree strongly Austria: See v91_AT Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 2000 (v98). people turn lazy not working (Q17C) People who don’t work turn lazy other missing question not asked not applicable no answer don't know agree strongly agree agree nor disagree disagree disagree strongly Austria: See v92_AT Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 2000 (v99). work is a duty towards society (Q17D) Work is a duty towards society other missing question not asked not applicable no answer don't know agree strongly agree agree nor disagree disagree disagree strongly Austria: See v93_AT Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 2000 (v100). not having to work if you don't want to (Q17E) People should not have to work if they don’t want to other missing question not asked not applicable no answer don't know agree strongly agree agree nor disagree disagree disagree strongly Austria: See v94_AT work always comes first (Q17F) Work should always come first, even if it means less spare time other missing question not asked not applicable no answer don't know agree strongly agree agree nor disagree disagree disagree strongly Austria: See v95_AT Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 2000 (v102). job needed to develop talents (Q17A_AT) (4 answer categories) Ask all; show card 17 Do you agree or disagree with the following statements? To fully develop your talents, you need to have a job -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don' know 1 AT: agree strongly AT: agree strongly 2 AT: agree AT: agree 3 AT: disagree AT: disagree 4 AT: disagree strongly AT: disagree strongly Austria: Question not comparable to Master Questionnaire (4 instead of 5 answer categories: 3 'neither agree nor disagree' not implemented). humiliating receiving money without working (Q17B_AT) (4 answer categories) It is humiliating to receive money without having to work for it other missing question not asked not applicable no answer don't know AT: agree strongly AT: agree AT: disagree AT: disagree strongly Austria: Question not comparable to Master Questionnaire (4 instead of 5 answer categories: 3 'neither agree nor disagree' not implemented). people turn lazy not working (Q17C_AT) (4 answer categories) People who don’t work turn lazy other missing question not asked not applicable no answer don't know AT: agree strongly AT: agree AT: disagree AT: disagree strongly Austria: Question not comparable to Master Questionnaire (4 instead of 5 answer categories: 3 'neither agree nor disagree' not implemented). work is a duty towards society (Q17D_AT) (4 answer categories) People who don’t work turn lazy other missing question not asked not applicable no answer don't know AT: agree strongly AT: agree AT: disagree AT: disagree strongly Austria: Question not comparable to Master Questionnaire (4 instead of 5 answer categories: 3 'neither agree nor disagree' not implemented). not having to work if you don't want to (Q17E_AT) (4 answer categories) People should not have to work if they don’t want to other missing question not asked not applicable no answer don't know AT: agree strongly AT: agree AT: disagree AT: disagree strongly Austria: Question not comparable to Master Questionnaire (4 instead of 5 answer categories: 3 'neither agree nor disagree' not implemented). work always comes first (Q17F_AT) (4 answer categories) Work should always come first, even if it means less spare time other missing question not asked not applicable no answer don't know AT: agree strongly AT: agree AT: disagree AT: disagree strongly Austria: Question not comparable to Master Questionnaire (4 instead of 5 answer categories: 3 'neither agree nor disagree' not implemented). fair/unfair: quicker secretary is paid more (Q18) Imagine two secretaries, of the same age, doing practically the same job. One finds out that the other earns £ 30 (Countries other than UK: Please use own currency) a week more than she does. The better paid secretary, however, is quicker, more efficient and more reliable at her job. In your opinion is it fair or not fair that one secretary is paid more than the other? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 fair fair 2 unfair unfair follow instructions at work/must be convinced first (Q19) Show card 19 People have different ideas about following instruction at work. Some say that one should follow instructions of one's superiors even when one does not fully agree with them. Others say that one should follow one's superior's instructions only when one is convinced that they are right. Which of these two opinions do you agree with? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 follow instructions should follow instructions 2 be convinced first must be convinced first 3 depends depends Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v88), WVS 2000 (v105). jobs are scarce: giving...(nation) priority (Q20A) Do you agree or disagree with the following statements? When jobs are scarce, employers should give priority to British (Countries other than UK: please substitute your nationality!) people over immigrants -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 agree agree 2 disagree disagree 3 neither neither Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v63), WVS 2000 (v79). jobs are scarce: giving men priority (Q20B) When jobs are scarce, men have more right to a job than women other missing question not asked not applicable no answer don't know agree disagree neither Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v61), WVS 2000 (v78). TV most important entertainment (Q53_SE) Do you agree strongly, agree, disagree or disagree strongly with the following statement: 'Television is my most important form of entertainment.' -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: strongly agree SE: strongly agree 2 SE: agree SE: agree 3 SE: disagree SE: disagree 4 SE: strongly disagree SE: strongly disagree Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. good and evil: clear/no clear guidelines (Q21) Show card 21 Here are two statements which people sometimes make when discussing good and evil. Which one comes closest to your own point of view? A: There are absolutely clear guidelines about what is good and evil. These always apply to everyone, whatever the circumstances. B: There can never be absolutely clear guidelines about what is good and evil. What is good and evil depends entirely upon the circumstances at the time. -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 clear guidelines good and evil agree with statement A 2 no clear guidelines good and evil agree with statement B 3 disagree with both disagree with both do you belong to a religious denomination (Q22) Do you belong to a religious denomination? if "no" - go to Q.24a -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Great Britain: Question dropped from British questionnaire; variable reconstructed on the basis of v102 (answer category "none" added in the field questionnaire has been recoded to -3 'nap' in v102). Romania: Answer categories in field questionnaire: 1 'No'; 2 'yes'. Categories have been recoded according to Master Questionnaire. Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v*179), WVS 2000 (v*184). which religious denomination (Q23) Show card 23 Which one? NB: PRESENT COUNTRY SPECIFIC LIST! RECODE INTO: -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 roman catholic Roman Catholic 2 protestant Protestant 3 free church/ non-conformist/ evangelical Free Church/ Non-Conformist/ Evangelical 4 jew Jew 5 muslim Muslim 6 hindu Hindu 7 buddhist Buddhist 8 orthodox Orthodox 9 other other Belarus and Romania: Code 1 includes Roman and Greek Catholics. Denmark, Hungary, Ireland, Northern Ireland, Poland, and Romania: Additional filter: respondents belonging to a religious denomination are filtered to v105 (how often attend religious services) instead of v103 (were you ever a member of [another] religious denomination). Great Britain: Different question wording: 'What religious denomination do you consider yourself to be, whether you currently practise that religion or not' - adapted to the Master Questionnaire. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v179), WVS 2000 (v184). RELIGIOUS DENOMINATION - HARMONIZED VARIABLE [Q.22 Do you belong to a religious denomination?] did you belong to a religious denomination (Q24a_r) (recoded) Were you ever a member of a religious denomination? Interviewer instruction: if respondent is currently a member, please ask: Were you ever a member of another religious denomination? if "no" - go to Q.25 -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Austria: Different question structure: variable split into two separate questions (Q24a 'ever a member of a religious denomination' and Q24b 'ever a member of another religious denomination'). In the field questionnaire there is no filter hint leading from v102 to Q24b. This fact may explain the high percentage of respondents who did not answer Q24b (ever member of another religious denomination). Denmark, Hungary, Ireland, Northern Ireland, and Poland: Different question format: question part "ever member of another religious denomination" dropped. Due to additional filter on v102, respondents belonging to a religious denomination (v101=1) have not been asked v103, v104. Finland, Greece, Italy, and Lithuania: Different question format: question part "ever member of another religious denomination" dropped; all respondents have been asked whether they were ever a member of a religious denomination; empirical consequence: members of a denomination (v101=1) who did not change their denomination gave the same answer to v102 and v104. Answers have been adapted to Master Questionnaire by comparing v102 and v104. France: Many interviewers did probably ignore the filter structure in the second part of v103 (ever member of another religious denomination), so that most of the respondents have been only asked if they were ever a member of a religious denomination. Empirical consequence: respondents with v101=1, who did not change their denomination gave the same answer to v102 and v104. Answers have been adapted to Master Questionnaire by comparing v102 and v104: cases that obviously did not change their religious denomination (Catholics and Jews) have been recoded to v103=2 and v104=-3; cases that did probably not change their denomination, but that could have changed from one protestant/free/orthodox church to another were not recoded. Great Britain: For Great Britain see v103r_gb; different question wording: Do or did you ever practise any religion? That is, attend religious ceremonies of meetings on a regular basis?; v103r_gb as far as possible adapted to the Master Questionnaire by comparing v102 with v104 (more detailled information from original unrecoded British variable used). Iceland: Different question structure (only one question used for v103 and v104) and answer categories (no, always member of religious affiliation; no, never member of religious affiliation; yes, National church; yes, Catholic Church; yes, other, which?). Variables v103 and v104 adapted to Master Questionnaire. Luxembourg, Malta, and Slovakia: Different question format: question part "ever member of another religious denomination" dropped. Although no additional filter has been used in the field questionnaire, most of the respondents who are members of a religious denomination (v101=1) have not been asked if they were ever member of a religious denomination. Romania: Different question format: question part "ever member of another religious denomination" dropped. Due to additional filter on v102 respondents members of a religious denomination (v101=1) should not have been asked v103 and v104. However, two respondents with v101=1 have valid codes in v103 and v104. Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). did you belong to a religious denomination (Q23_GB/Q24_GB) (recoded) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 GB: yes GB: yes 2 GB: no GB: no Great Britain: v103r_gb and v104r_gb are as far as possible adapted to the Master Questionnaire by comparing the original unrecoded British variables for v102 and v104. Former religious denomination - recoded variable Source: v102_gb, v104_gb [Q.23_gb What religious denomination do you consider yourself to be, whether you currently practise that religion or not? Q.24b_gb Which one?] which former religious denomination (Q24b_r) Show card 24 Which one? NB: PRESENT COUNTRY SPECIFIC LIST! RECODE INTO: -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 roman catholic Roman Catholic 2 protestant Protestant 3 free church/ non-conformist/ evangelical Free Church/ Non-Conformist/ Evangelical 4 jew Jew 5 muslim Muslim 6 hindu Hindu 7 buddhist Buddhist 8 orthodox Orthodox 9 other other Austria: Different question format (multiple response question: 2 respondents with 2 former religious denominations have been recoded into 'no answer'); correct question number in field questionnaire should have been 24c instead of 24b. Denmark, Hungary, Ireland, Northern Ireland, and Poland: Due to additional filter on v102 and different question wording on v103, respondents belonging to a religious denomination have not been asked whether they were ever a member of another religious denomination (v103) and 'which one' (v104). Therefore change from one to another denomination has not been captured. Finland, Greece, Italy, and Lithuania: Due to the different question format of v103 all respondents have been asked whether they were ever a member of a religious denomination. Empirical consequence: members of a denomination (v101=1) who did not change their denomination gave the same answer to v102 and v104. Answers have been corrected by comparison with v102. France: Due to ignoring the filter on v103 most of the respondents have been only asked if they were ever a member of a religious denomination and which one. Empirical consequence: respondents with v101=1, who did not change their denomination gave the same answer to v102 and v104. Answers have been adapted to Master Questionnaire by comparing v102 and v104: cases that obviously did not change their religious denomination (Catholics and Jews) have been recoded to v103=2 and v104=-3; cases that did probably not change their denomination, but that could have changed from one protestant/free/orthodox church to another were not recoded. Great Britain: For Great Britain see v104r_gb; due to the different question format of v103 it was necessary to adapt V104r_gb as far as possible to the Master Questionnaire by comparing v102 with v104. Iceland: Different question structure (only one question used for v103 and v104) and answer categories (no, always member of religious affiliation; no, never member of religious affiliation; yes, National church; yes, Catholic Church; yes, other, which?). Variables v103 and v104 adapted to Master Questionnaire. Luxembourg, Malta, and Slovak Republic: Due to different question wording on v103, most of the respondents in Luxembourg and all respondents in Malta and Slovak Republic belonging to a religious denomination have not been asked whether they were ever a member of another religious denomination (v103) and 'which one' (v104). Therefore change from one to another denomination has not been captured. Romania: Due to additional filter on v102 and different question wording on v103, respondents belonging to a religious denomination have not been asked whether they were ever a member of another religious denomination (v103) and 'which one' (v104). Therefore change from one to another denomination has not been captured. Empirically two respondents with v101=1 have valid codes in v103 and v104 indicating change of religious denomination. Code 1 includes Roman and Greek Catholics. Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). (FORMER) RELIGIOUS DENOMINATION - HARMONIZED VARIABLE [Q.24a Were you ever a member of a religious denomination? <if respondent is currently a member, please ask: Where you ever a member of another religious denomination?>] which former religious denomination (Q23_GB/Q24_GB) (recoded) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 GB: roman catholic GB: Roman Catholic 2 GB: protestant GB: Protestant 3 GB: free church/non-conformist/evangelical GB: Free church/Non-Conformist/Evangelical 4 GB: Jew GB: Jew 5 GB: muslim GB: Muslim 6 GB: hindu GB: Hindu 7 GB: buddist GB: Buddist 8 GB: orthodox GB: Orthodox 9 GB: other GB: other Great Britain: v103r_gb and v104r_gb are as far as possible adapted to the Master Questionnaire by comparing the original unrecoded British variables v102 with v104. Which religious denomination did you belong to - recoded Source: v102_gb, v104_gb [Q.23_gb What religious denomination do you consider yourself to be, whether you currently practise that religion or not? Q.24b_gb Which one?] how often attend religious services (Q25) Show card 25 Apart from weddings, funerals and christenings, about how often do you attend religious services these days? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 more than once week more than once week 2 once a week once a week 3 once a month once a month 4 christmas/ easter day Christmas/ Easter day 5 other spec holy days other specific holy days 6 once a year once a year 7 less often less often 8 never, pract never never, practically never Sweden: In the Swedish field questionnaire answer categories 4 and 5 ("Christmas/Easter day" and "other specific holy days") have been merged into category 4 "special holy days". Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories, interviewer instruction). Comparable questions: WVS 1995 (v181), WVS 2000 (v185). how often attended religious services 12 years old (Q26) Show card 26 Apart from weddings, funerals and christenings, about how often did you attend religious services when you were 12 years old? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 more than once week more than once week 2 once a week once a week 3 once a month once a month 4 christmas/ easter day Christmas/ Easter day 5 other spec holy days other specific holy days 6 once a year once a year 7 less often less often 8 never, pract never never, practically never Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories, interviewer instruction). religious service important: birth (Q27A) Do you personally think it is important to hold a religious service for any of the following events? Birth -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 no no 1 yes yes Response categories documented according to dataset. In Master Questionnaire response categories are: 1. yes 2. no Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). religious service important: marriage (Q27B) Marriage other missing question not asked not applicable no answer don't know no yes Response categories documented according to dataset. In Master Questionnaire response categories are: 1. yes 2. no Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). religious service important: death (Q27C) Death other missing question not asked not applicable no answer don't know no yes Response categories documented according to dataset. In Master Questionnaire response categories are: 1. yes 2. no Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). are you a religious person (Q28) Independently of whether you go to church or not, would you say you are ... Read out reversing order -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 religious person a religious person 2 not religious person not a religious person 3 convinced atheist a convinced atheist Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v182), WVS 2000 (v186). church answers to: moral problems (Q29A) Generally speaking, do you think that your church is/the churches are giving, in your country, adequate answers to ... Read out and code one answer for each NB:For those belonging to a church or a religious community; ask YOUR church/ religious community For those not belonging to a church or religious community ask: THE churches The moral problems and needs of the individual -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 no no 1 yes yes Response categories documented according to dataset. In Master Questionnaire response categories are: 1. yes 2. no Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 2000 (v187). church answers to: family life problems (Q29B) The problems of family life other missing question not asked not applicable no answer don't know no yes Response categories documented according to dataset. In Master Questionnaire response categories are: 1. yes 2. no Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 2000 (v188). church answers to: spiritual needs (Q29C) People's spiritual needs other missing question not asked not applicable no answer don't know no yes Response categories documented according to dataset. In Master Questionnaire response categories are: 1. yes 2. no Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 2000 (v189). church answers to: social problems (Q29D) The social problems facing our country today other missing question not asked not applicable no answer don't know no yes Response categories documented according to dataset. In Master Questionnaire response categories are: 1. yes 2. no Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 2000 (v190). do you believe in: god (Q30A) Which, if any, of the following do you believe in? Read out and code one answer for each God -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 no no 1 yes yes Response categories documented according to dataset. In Master Questionnaire response categories are: 1. yes 2. no Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v183), WVS 2000 (v191). do you believe in: life after death (Q30B) Life after death other missing question not asked not applicable no answer don't know no yes Response categories documented according to dataset. In Master Questionnaire response categories are: 1. yes 2. no Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v184), WVS 2000 (v192). do you believe in: hell (Q30C) Hell other missing question not asked not applicable no answer don't know no yes Response categories documented according to dataset. In Master Questionnaire response categories are: 1. yes 2. no Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v187), WVS 2000 (v194). do you believe in: heaven (Q30D) Heaven other missing question not asked not applicable no answer don't know no yes Response categories documented according to dataset. In Master Questionnaire response categories are: 1. yes 2. no Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v188), WVS 2000 (v195). do you believe in: sin (Q30E) Sin other missing question not asked not applicable no answer don't know no yes Response categories documented according to dataset. In Master Questionnaire response categories are: 1. yes 2. no Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v189). do you believe in: telepathy (Q30F) Telepathy other missing question not asked not applicable no answer don't know no yes Response categories documented according to dataset. In Master Questionnaire response categories are: 1. yes 2. no do you believe in: re-incarnation (Q31) Do you believe in re-incarnation, that is, that we are born into this world again? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 no no 1 yes yes Great Britain: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Trend question: EVS 2008 and EVS 1999. personal god vs. spirit or life force (Q32) Show card 32 Which of these statements comes closest to your beliefs? Code one answer only -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 personal God there is a personal God 2 spirit or life force there is some sort of spirit or life force 3 dont know what to think I don't really know what to think 4 no spirit God or life force I don't really think there is any sort of spirit, God or life force Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Trend question: EVS 2008 and EVS 1999. how important is god in your life (Q33) Show card 33 And how important is God in your life? Please use this card to indicate - 10 means very important and 1 means not at all important. -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 not at all not at all 10 very very 2 3 4 5 6 7 8 9 Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v190), WVS 2000 (v196). do you get comfort and strength from religion (Q34) Do you find that you get comfort and strength from religion or not? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Germany: Additional answer category: not applicable/don't believe. Variable adapted to Master Questionnaire by recoding -3 'nap/don't believe' into 2 'no', assuming that non believers get no comfort and strength from religion. Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v191), WVS 2000 (v197). do you take moments of prayer/meditation (Q35) Do you take some moments of prayer, meditation or contemplation or something like that? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 2000 (v198). how often do you pray to god outside religious services (Q36) Show card 36 How often do you pray to God outside of religious services? Would you say .... -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 every day every day 2 more than once week more than once a week 3 once a week once a week 4 at least once a month at least once a month 5 several times a year several times a year 6 less often less often 7 never never Sweden: Question not asked in field questionnaire. Computed and coded as -4 'question not asked'. Slovenia: See v126_SI Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 2000 (v199). how often do you pray to god outside religious services (Q36_SI) Show card 36 How often do you pray to God outside of religious services? Would you say .... -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SI: often SI: often 2 SI: sometimes SI: sometimes 3 SI: very rarely SI: very rarely 4 SI: only in times of crisis SI: only in times of crisis 5 SI: never SI: never Slovenia: Question not comparable to field questionnaire (5 instead of 7 answer possibilities). do you have a lucky charm (Q37) Do you have a lucky charm such as a mascot or a talisman? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no do you believe that lucky charm protects (Q38) Show card 38 Do you believe that a lucky charm such as a mascot or a talisman can protect or help you? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 definitely not definitely not 10 definitely yes definitely yes 2 3 4 5 6 7 8 9 Trend question: EVS 2008 and EVS 1999. politicians and god (Q39A) Show card 39 How much do you agree or disagree with each of the following: Politicians who do not believe in God are unfit for public office -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 agree strongly agree strongly 2 agree agree 3 agree nor disagree neither agree nor disagree 4 disagree disagree 5 disagree strongly disagree strongly Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 2000 (v200). religious leaders and influence voting (Q39B) Religious leaders should not influence how people vote in elections other missing question not asked not applicable no answer don't know agree strongly agree agree nor disagree disagree disagree strongly religion and public office (Q39C) It would be better for [Britain] if more people with strong religious beliefs held public office other missing question not asked not applicable no answer don't know agree strongly agree agree nor disagree disagree disagree strongly religious leaders and influence government decisions (Q39D) Religious leaders should not influence government decisions other missing question not asked not applicable no answer don't know agree strongly agree agree nor disagree disagree disagree strongly Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 2000 (v203). important in marriage: faithfulness (Q40A) Show card 40 Here is a list of things which some people think make for a successful marriage. Please tell me, for each one, whether you think it is very important, rather important or not very important for a successful marriage? Read out each item Faithfulness -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 very very important 2 rather rather important 3 not not important Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). important in marriage: adequate income (Q40B) An adequate income other missing question not asked not applicable no answer don't know very rather not Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). important in marriage: same social background (Q40C) Being of the same social background other missing question not asked not applicable no answer don't know very rather not Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). important in marriage: respect+appreciation (Q40D) Mutual respect and appreciation other missing question not asked not applicable no answer don't know very rather not important in marriage: shared religious beliefs (Q40E) Shared religious beliefs other missing question not asked not applicable no answer don't know very rather not Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). important in marriage: good housing (Q40F) Good housing other missing question not asked not applicable no answer don't know very rather not Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). important in marriage: agreement on politics (Q40G) Agreement on politics other missing question not asked not applicable no answer don't know very rather not Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). important in marriage: understanding+tolerance (Q40H) Understanding and tolerance other missing question not asked not applicable no answer don't know very rather not important in marriage: live apart from in-laws(Q40I) Living apart from your in-laws other missing question not asked not applicable no answer don't know very rather not Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). important in marriage: happy sexual relationship (Q40J) Happy sexual relationship other missing question not asked not applicable no answer don't know very rather not Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). important in marriage: share household chores (Q40K) Sharing household chores other missing question not asked not applicable no answer don't know very rather not Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). important in marriage: children (Q40L) Children other missing question not asked not applicable no answer don't know very rather not Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). important in marriage: discuss problems (Q40M) Being willing to discuss the problems that come up between husband and wife other missing question not asked not applicable no answer don't know very rather not Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). important in marriage: spending time together (Q40N) Spending as much time together as possible other missing question not asked not applicable no answer don't know very rather not important in marriage: talking about mutual interests (Q40O) Talking a lot about mutual interests other missing question not asked not applicable no answer don't know very rather not children need both parents to grow up happily (Q41) If someone says a child needs a home with both a father and a mother to grow up happily, would you tend to agree or disagree? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 tend to agree tend to agree 2 tend to disagree tend to disagree Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v92), WVS 2000 (v109). women need children in order to be fulfilled (Q42) Do you think that a woman has to have children in order to be fulfilled or is this not necessary? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 needs children needs children 2 not necessary not necessary Sweden: See v149_SE Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v93), WVS 2000 (v110). one needs children in order to be fulfilled (Q42_SE) Do you think that one has to have children in order to be fulfilled or is this not necessary? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: needs children SE: needs children 2 SE: not necessary SE: not necessary Sweden: Question not comparable to Master Questionnaire. In the Swedish questionnaire Q42 (v49) pertains to all people, not only to women. marriage is outdated (Q43) Do you agree or disagree with the following statement? Read out Marriage is an outdated institution -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 agree agree 2 disagree disagree Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v94), WVS 2000 (v111). woman single parent, no stable relationship with man (Q44) If a woman wants to have a child as a single parent, but she doesn't want to have a stable relationship with a man, do you approve or disapprove? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 approve approve 2 disapprove disapprove 3 depends depends Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v96), WVS 2000 (v112). men need children in order to be fulfilled (Q45A) Show card 45 How would you feel about the following statements? Do you agree or disagree with them? A man has to have children in order to be fulfilled -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 agree strongly agree strongly 2 agree agree 3 agree nor disagree neither agree nor disagree 4 disagree disagree 5 disagree strongly disagree strongly Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). long-term relationship necessary to be happy (Q45B) A marriage or a long-term stable relationship is necessary to be happy other missing question not asked not applicable no answer don't know agree strongly agree agree nor disagree disagree disagree strongly Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). working mother warm relationship with children (Q46A) Show card 46 People talk about the changing roles of men and women today. For each of the following statements I read out, can you tell me how much you agree with each. Please use the responses on this card. A working mother can establish just as warm and secure a relationship with her children as a mother who does not work -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 strongly agree strongly agree 2 agree agree 3 disagree disagree 4 strongly disagree strongly disagree Austria, Ireland, and Northern Ireland: See v154_5C (5 answer categories) Turkey: v154-v161: In the Turkish questionnaire answering category 3 and 4 were switched. Some interviewers noticed, and others didn't, so they dealt in different manners with this question. Therefore these variables have been deleted. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v98), WVS 2000 (v115). pre-school child suffers with working mother (Q46B) A pre-school child is likely to suffer if his or her mother works other missing question not asked not applicable no answer don't know strongly agree agree disagree strongly disagree Austria, Ireland, and Northern Ireland: See v155_5C (5 answer categories) Turkey: v154-v161: In the Turkish questionnaire answering category 3 and 4 were switched. Some interviewers noticed, and others didn't, so they dealt in different manners with this question. Therefore these variables have been deleted. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). women really want home and children (Q46C) A job is alright but what most women really want is a home and children other missing question not asked not applicable no answer don't know strongly agree agree disagree strongly disagree Austria, Ireland, and Northern Ireland: See v156_5C (5 answer categories) Turkey: v154-v161: In the Turkish questionnaire answering category 3 and 4 were switched. Some interviewers noticed, and others didn't, so they dealt in different manners with this question. Therefore these variables have been deleted. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). being housewife as fulfilling as paid job (Q46D) Being a housewife is just as fulfilling as working for pay other missing question not asked not applicable no answer don't know strongly agree agree disagree strongly disagree Austria, Ireland, and Northern Ireland: See v157_5C (5 answer categories) Turkey: v154-v161: In the Turkish questionnaire answering category 3 and 4 were switched. Some interviewers noticed, and others didn't, so they dealt in different manners with this question. Therefore these variables have been deleted. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v99), WVS 2000 (v116). job best way for women to be independent (Q46E) Having a job is the best way for a woman to be an independent person other missing question not asked not applicable no answer don't know strongly agree agree disagree strongly disagree Austria, Ireland, and Northern Ireland: See v158_5C (5 answer categories) Turkey: v154-v161: In the Turkish questionnaire answering category 3 and 4 were switched. Some interviewers noticed, and others didn't, so they dealt in different manners with this question. Therefore these variables have been deleted. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). husband+wife contribute to household income (Q46F) Both the husband and wife should contribute to household income other missing question not asked not applicable no answer don't know strongly agree agree disagree strongly disagree Austria, Ireland, and Northern Ireland: See v159_5C (5 answer categories) Turkey: v154-v161: In the Turkish questionnaire answering category 3 and 4 were switched. Some interviewers noticed, and others didn't, so they dealt in different manners with this question. Therefore these variables have been deleted. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v100), WVS 2000 (v117). fathers as well suited to look after children as mothers (Q46G) In general, fathers are as well suited to look after their children as mothers other missing question not asked not applicable no answer don't know strongly agree agree disagree strongly disagree Austria, Ireland, and Northern Ireland: See v160_5C (5 answer categories) Turkey: v154-v161: In the Turkish questionnaire answering category 3 and 4 were switched. Some interviewers noticed, and others didn't, so they dealt in different manners with this question. Therefore these variables have been deleted. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). men less able to handle emotions in relationships than women (Q46H) Men are less able to handle emotions in relationships than women other missing question not asked not applicable no answer don't know strongly agree agree disagree strongly disagree Austria, Ireland, and Northern Ireland: See v161_5C (5 answer categories) Turkey: v154-v161: In the Turkish questionnaire answering category 3 and 4 were switched. Some interviewers noticed, and others didn't, so they dealt in different manners with this question. Therefore these variables have been deleted. working mother warm relationship with children (Q46A) (5 answer categories) Show card 46 People talk about the changing roles of men and women today. For each of the following statements I read out, can you tell me how much you agree with each. Please use the responses on this card. A working mother can establish just as warm and secure a relationship with her children as a mother who does not work -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 strongly agree strongly agree 2 agree agree 3 neither agree nor disagree neither agree nor disagree 4 disagree disagree 5 strongly disagree strongly disagree Austria, Ireland, and Northern Ireland: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 3 - 'neither agree nor disagree'). pre-school child suffers with working mother (Q46B) (5 answer categories) A pre-school child is likely to suffer if his or her mother works other missing question not asked not applicable no answer don't know strongly agree agree neither agree nor disagree disagree strongly disagree Austria, Ireland, and Northern Ireland: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 3 - 'neither agree nor disagree'). women really want home and children (Q46C) (5 answer categories) A job is alright but what most women really want is a home and children other missing question not asked not applicable no answer don't know strongly agree agree neither agree nor disagree disagree strongly disagree Austria, Ireland, and Northern Ireland: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 3 - 'neither agree nor disagree'). being housewife as fulfilling as paid job (Q46D) (5 answer categories) Being a housewife is just as fulfilling as working for pay other missing question not asked not applicable no answer don't know strongly agree agree neither agree nor disagree disagree strongly disagree Austria, Ireland, and Northern Ireland: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 3 - 'neither agree nor disagree'). job best way for women to be independent (Q46E) (5 answer categories) Having a job is the best way for a woman to be an independent person other missing question not asked not applicable no answer don't know strongly agree agree neither agree nor disagree disagree strongly disagree Austria, Ireland, and Northern Ireland: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 3 - 'neither agree nor disagree'). husband+wife contribute to household income (Q46F) (5 answer categories) Both the husband and wife should contribute to household income other missing question not asked not applicable no answer don't know strongly agree agree neither agree nor disagree disagree strongly disagree Austria, Ireland, and Northern Ireland: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 3 - 'neither agree nor disagree'). fathers as well suited to look after children as mothers (Q46G) (5 answer categories) In general, fathers are as well suited to look after their children as mothers other missing question not asked not applicable no answer don't know strongly agree agree neither agree nor disagree disagree strongly disagree Austria, Ireland, and Northern Ireland: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 3 - 'neither agree nor disagree'). men less able to handle emotions in relationships than women (Q46H) (5 answer categories) Men are less able to handle emotions in relationships than women other missing question not asked not applicable no answer don't know strongly agree agree neither agree nor disagree disagree strongly disagree Austria, Ireland, and Northern Ireland: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 3 - 'neither agree nor disagree'). men make better political leaders than women do (Q116_SE) For each of the following statements I read out, can you tell me how much you agree with each. Do you agree strongly, agree, disagree, or disagree strongly? On the whole, men make better political leaders than women do -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: agree strongly SE: agree strongly 2 SE: agree SE: agree 3 SE: disagree SE: disagree 4 SE: strongly disagree SE: strongly disagree Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. love and respect parents always/earned (Q47) Show card 47 Which of these two statements do you tend to agree with? Code one answer only A: Regardless of what the qualities and faults of ones parents are, one must always love and respect them; B: One does not have the duty to respect and love parents who have not earned it by their behaviour and attitudes -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 always love parents tend to agree with statement A 2 parents have to earn respect tend to agree with statement B Denmark: See v162_DK Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v12), WVS 2000 (v13). university is more important for a boy than for a girl (Q117_SE) A university education is more important for a boy than for a girl other missing question not asked not applicable no answer don't know SE: agree strongly SE: agree SE: disagree SE: strongly disagree Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. parents responsibilities to their children at expense of/not sacrifice own well-being (Q48) Show card 48 Which of the following statements best describes your views about parents' responsibilities to their children? Code one only -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 do utmost best for children parents' duty is to do their best for their children even at the expense of their own well-being 2 no sacrifice of well-being parents have a life of their own and should not be asked to sacrifice their own well-being for the sake of their children 3 neither neither Romania: See v163_RO Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v13), WVS 2000 (v14). love and respect parents always/earned (Q47_DK) (3 answer categories) Show card 47 Which of these two statements do you tend to agree with? Code one answer only A: Regardless of what the qualities and faults of ones parents are, one must always love and respect them; B: One does not have the duty to respect and love parents who have not earned it by their behaviour and attitudes -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 DK: always love parents DK: tend to agree with statement A 2 DK: parents have to earn respect DK: tend to agree with statement B 3 DK: neither DK: neither Denmark: Question not comparable to Master Questionnaire (3 instead of 2 answer categories: 3 - 'DK: neither'). parents responsiblities to their children at expense of/not sacrifice own well-being (Q48_RO) (2 answer categories) Show card 48 Which of the following statements best describes your views about parents, responsibilities to their children? Code one only -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 RO: do utmost best for children RO: do utmost best for children 2 RO: no sacrifice of well-being RO: no sacrifice of well-being Romania: Question not comparable to Master Questionnaire (answer category 3 'neither' is not included). one of main goals in life has been to make my parents proud (Q118_SE) One of my main goals in life has been to make my parents proud other missing question not asked not applicable no answer don't know SE: agree strongly SE: agree SE: disagree SE: strongly disagree Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. learn children at home: good manners (Q49A) Show card 49 Here is a list of qualities which children can be encouraged to learn at home. Which, if any, do you consider to be especially important? Please choose up to five? Code five only Good manners -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 not mentioned not mentioned 1 important important Croatia: Data not available, question not comparable to the Master Questionnaire (<Code five only> was not mentioned). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, response categories). Comparable questions: WVS 1995 (v14), WVS 2000 (iv15). Multiple response questions are split into a set of dichotomized variables (1 important, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. The questionnaire contains two additional subquestions: 'I don't know' (v175) and 'No answer' (v176). They were recoded to -1 and -2 for each item of the question battery. Please see flag variable f174 which indicates inconsistencies for variables v164 to v174. learn children at home: independence (Q49B) Independence other missing question not asked not applicable no answer don't know not mentioned important Croatia: Data not available, question not comparable to the Master Questionnaire (<Code five only> was not mentioned). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, response categories). Comparable questions: WVS 1995 (v15), WVS 2000 (v15). Multiple response questions are split into a set of dichotomized variables (1 important, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. The questionnaire contains two additional subquestions: 'I don't know' (v175) and 'No answer' (v176). They were recoded to -1 and -2 for each item of the question battery. Please see flag variable f174 which indicates inconsistencies for variables v164 to v174. learn children at home: hard work (Q49C) Hard work other missing question not asked not applicable no answer don't know not mentioned important Croatia: Data not available, question not comparable to the Master Questionnaire (<Code five only> was not mentioned). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, response categories). Comparable questions: WVS 1995 (v16), WVS 2000 (v16). Multiple response questions are split into a set of dichotomized variables (1 important, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. The questionnaire contains two additional subquestions: 'I don't know' (v175) and 'No answer' (v176). They were recoded to -1 and -2 for each item of the question battery. Please see flag variable f174 which indicates inconsistencies for variables v164 to v174. learn children at home: feeling of responsibility (Q49D) Feeling of responsibility other missing question not asked not applicable no answer don't know not mentioned important Croatia: Data not available, question not comparable to the Master Questionnaire (<Code five only> was not mentioned). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, response categories). Comparable questions: WVS 1995 (v17), WVS 2000 (v17). Multiple response questions are split into a set of dichotomized variables (1 important, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. The questionnaire contains two additional subquestions: 'I don't know' (v175) and 'No answer' (v176). They were recoded to -1 and -2 for each item of the question battery. Please see flag variable f174 which indicates inconsistencies for variables v164 to v174. learn children at home: imagination (Q49E) Imagination other missing question not asked not applicable no answer don't know not mentioned important Croatia: Data not available, question not comparable to the Master Questionnaire (<Code five only> was not mentioned). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, response categories). Comparable questions: WVS 1995 (v18), WVS 2000 (v18). Multiple response questions are split into a set of dichotomized variables (1 important, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. The questionnaire contains two additional subquestions: 'I don't know' (v175) and 'No answer' (v176). They were recoded to -1 and -2 for each item of the question battery. Please see flag variable f174 which indicates inconsistencies for variables v164 to v174. learn children at home: tolerance+respect (Q49F) Tolerance and respect for other people other missing question not asked not applicable no answer don't know not mentioned important Croatia: Data not available, question not comparable to the Master Questionnaire (<Code five only> was not mentioned). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, response categories). Comparable questions: WVS 1995 (v19), WVS 2000 (v19). Multiple response questions are split into a set of dichotomized variables (1 important, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. The questionnaire contains two additional subquestions: 'I don't know' (v175) and 'No answer' (v176). They were recoded to -1 and -2 for each item of the question battery. Please see flag variable f174 which indicates inconsistencies for variables v164 to v174. learn children at home: thrift (Q49G) Thrift, saving money and things other missing question not asked not applicable no answer don't know not mentioned important Croatia: Data not available, question not comparable to the Master Questionnaire (<Code five only> was not mentioned). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, response categories). Comparable questions: WVS 1995 (v20), WVS 2000 (v20). Multiple response questions are split into a set of dichotomized variables (1 important, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. The questionnaire contains two additional subquestions: 'I don't know' (v175) and 'No answer' (v176). They were recoded to -1 and -2 for each item of the question battery. Please see flag variable f174 which indicates inconsistencies for variables v164 to v174. learn children at home: determination, perseverance (Q49H) Determination, perseverance other missing question not asked not applicable no answer don't know not mentioned important Croatia: Data not available, question not comparable to the Master Questionnaire (<Code five only> was not mentioned). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, response categories). Comparable questions: WVS 1995 (v21), WVS 2000 (v21). Multiple response questions are split into a set of dichotomized variables (1 important, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. The questionnaire contains two additional subquestions: 'I don't know' (v175) and 'No answer' (v176). They were recoded to -1 and -2 for each item of the question battery. Please see flag variable f174 which indicates inconsistencies for variables v164 to v174. learn children at home: religious faith (Q49I) Religious faith other missing question not asked not applicable no answer don't know not mentioned important Croatia: Data not available, question not comparable to the Master Questionnaire (<Code five only> was not mentioned). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, response categories). Comparable questions: WVS 1995 (v22), WVS 2000 (v22). Multiple response questions are split into a set of dichotomized variables (1 important, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. The questionnaire contains two additional subquestions: 'I don't know' (v175) and 'No answer' (v176). They were recoded to -1 and -2 for each item of the question battery. Please see flag variable f174 which indicates inconsistencies for variables v164 to v174. learn children at home: unselfishness (Q49J) Unselfishness other missing question not asked not applicable no answer don't know not mentioned important Croatia: Data not available, question not comparable to the Master Questionnaire (<Code five only> was not mentioned). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, response categories). Comparable questions: WVS 1995 (v23), WVS 2000 (v23). Multiple response questions are split into a set of dichotomized variables (1 important, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. The questionnaire contains two additional subquestions: 'I don't know' (v175) and 'No answer' (v176). They were recoded to -1 and -2 for each item of the question battery. Please see flag variable f174 which indicates inconsistencies for variables v164 to v174. flag variable: learn children at home (Q49) -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know 0 Limitation followed Limitation followed 1 Limitation ignored Limitation ignored For detailed information, see EVS 1999 variable report. Flag variable: Indicates inconsistencies for the variables v164 to v174. If respondent named more than the allowed 5 qualities. if v164 to v174=1 > 5 then f174=1 learn children at home: obedience (Q49K) Obedience other missing question not asked not applicable no answer don't know not mentioned important Croatia: Data not available, question not comparable to the Master Questionnaire (<Code five only> was not mentioned). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, response categories). Comparable questions: WVS 1995 (v24), WVS 2000 (v24). Multiple response questions are split into a set of dichotomized variables (1 important, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. The questionnaire contains two additional subquestions: 'I don't know' (v175) and 'No answer' (v176). They were recoded to -1 and -2 for each item of the question battery. Please see flag variable f174 which indicates inconsistencies for variables v164 to v174. abortion if woman not married (Q50A) Show card 50 Do you approve or disapprove of abortion under the following circumstances? Where the woman is not married -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 disapprove disapprove 1 approve approve Response categories documented according to dataset. In Master Questionnaire response categories are: 1. approve 2. disapprove Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). abortion if couple doesn't want more children (Q50B) Where a married couple does not want to have any more children other missing question not asked not applicable no answer don't know disapprove approve Response categories documented according to dataset. In Master Questionnaire response categories are: 1. approve 2. disapprove Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). political action: signing a petition(Q51A) Show card 51 Now I'd like you to look at this card. I'm going to read out some different forms of political action that people can take, and I'd like you to tell me, for each one, whether you have actually done any of these things, whether you might do it or would never, under any circumstances, do it. Signing a petition -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 have done have done 2 might do might do 3 would never do would never do Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v118), WVS 2000 (v134). political action: joining in boycotts (Q51B) Joining in boycotts other missing question not asked not applicable no answer don't know have done might do would never do Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v119), WVS 2000 (v135). political action: attending lawful demonstrations (Q51C) Attending lawful demonstrations other missing question not asked not applicable no answer don't know have done might do would never do Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v120), WVS 2000 (v136). political action: joining unofficial strikes (Q51D) Joining unofficial strikes other missing question not asked not applicable no answer don't know have done might do would never do Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v121), WVS 2000 (v137). political action: occupying buildings/factories (Q51E) Occupying buildings or factories other missing question not asked not applicable no answer don't know have done might do would never do Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v122), WVS 2000 (v138). more important: freedom or equality (Q52) Show card 52 Which of these two statements comes closest to your own opinion? A: I find that both freedom and equality are important. But if I were to choose one or the other, I would consider personal freedom more important, that is, everyone can live in freedom and develop without hindrance; B: Certainly both freedom and equality are important. But if I were to choose one or the other, I would consider equality more important, that is, that nobody is underprivileged and that social class differences are not so strong -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 freedom above equality agree with statement A 2 equality above freedom agree with statement B 3 neither neither Greece, Latvia, and Romania: See v184_2C (2 answer categories). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). more important: freedom or equality (Q52) (2 answer categories) Show card 52 Which of these two statements comes closest to your own opinion? A: I find that both freedom and equality are important. But if I were to choose one or the other, I would consider personal freedom more important, that is, everyone can live in freedom and develop without hindrance; B: Certainly both freedom and equality are important. But if I were to choose one or the other, I would consider equality more important, that is, that nobody is underprivileged and that social class differences are not so strong -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 freedom above equality agree with statement A 2 equality above freedom agree with statement B Greece, Latvia, and Romania: Question not comparable to Master Questionnaire (answer category 3 'neither' is not included). political view: left-right (Q53) Show card 53 In political matters, people talk of 'the left' and the 'the right'. How would you place your views on this scale, generally speaking? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 left left 10 right right 2 3 4 5 6 7 8 9 Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v123), WVS 2000 (v139). individual vs. state responsibility for providing (Q54A) Show card 54 Now I'd like you to tell me your views on various issues. How would you place your views on this scale? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 individual responsibility individuals should take more responsibility for providing for themselves 10 state responsibility the state should take more responsibility to ensure that everyone is provided for 2 3 4 5 6 7 8 9 Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v127), WVS 2000 (v143). (Differences: Statements are turned around) take any job vs. right to refuse job when unemployed (Q54B) Show card 54 Now I'd like you to tell me your views on various issues. How would you place your views on this scale? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 unemployed take any job people who are unemployed should have to take any job available or lose their unemployment benefits 10 unemployed right to refuse a job people who are unemployed should have the right to refuse a job they do not want 2 3 4 5 6 7 8 9 Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). competition good vs. harmful for people (Q54C) Show card 54 Now I'd like you to tell me your views on various issues. How would you place your views on this scale? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 competition good competition is good. It stimulates people to work hard and develop new ideas 10 competition harmful competition is harmful, it brings out the worst in people 2 3 4 5 6 7 8 9 Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v128), WVS 2000 (v144). state give more freedom to firms vs. control firms more effectively (Q54D) Show card 54 Now I'd like you to tell me your views on various issues. How would you place your views on this scale? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 state gives freedom to firms the state should give more freedom to firms 10 state control firms the state should control firms more effectively 2 3 4 5 6 7 8 9 Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). aims of respondent: first choice (Q55) Show card 55 There is a lot of talk these days about what the aims of this country should be for the next ten years. On this card are listed some of the goals which different people would give top priority. If you had to choose, which of the things on this card would you say is most important? Code one answer only -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 maintain order in nation maintaining order in the nation 2 more say important government decisions giving people more say in important government decisions 3 fighting rising prices fighting rising prices 4 protect freedom of speech protecting freedom of speech Great Britain: See v190_GB Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v106), WVS 2000 (v122). aims of respondent: second choice (Q56) Show card 55 And which would be the next most important? Code one answer only -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 maintain order in nation maintaining order in the nation 2 more say important government decisions giving people more say in important government decisions 3 fighting rising prices fighting rising prices 4 protect freedom of speech protecting freedom of speech Great Britain: See v191_GB Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v107), WVS 2000 (v123). post-materialist index 4-item -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 materialist materialist 2 mixed mixed 3 postmaterialist post-materialist Great Britain: Data not available due to deviant number of response categories in v190 and v191 (5 answer categories instead of 4 categories: 5 'GB: improving the standard of living'). Trend question: EVS 2008 and EVS 1999. Post-materialist index (4-item) - Constructed variable Source variables: v190, v191 [There is a lot of talk these days about what the aims of this country should be for the next ten years. On this card are listed some of the goals which different people would give top priority. If you had to choose, which of the things on this card would you say is most/second most important?] aims of respondent: first choice (Q55_GB) (5 answer categories) Show card 55 There is a lot of talk these days about what the aims of this country should be for the next ten years. On this card are listed some of the goals which different people would give top priority. If you had to choose, which of the things on this card would you say is most important? Code one answer only -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 GB: maintain order in nation GB: maintain order in nation 2 GB: more say important government decisions GB: more say important government decisions 3 GB: fighting rising prices GB: fighting rising prices 4 GB: protect freedom of speech GB: protect freedom of speech 5 GB: improving the standard of living GB: improving the standard of living Great Britain: Question not comparable to Master Questionnaire (5 answer categories instead of 4 categories: 5 'GB: improving the standard of living'). aims of respondent: second choice (Q56_GB) (5 answer categories) Show card 55 And which would be the next most important? Code one answer only -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 GB: maintain order in nation GB: maintain order in nation 2 GB: more say important government decisions GB: more say important government decisions 3 GB: fighting rising prices GB: fighting rising prices 4 GB: protect freedom of speech GB: protect freedom of speech 5 GB: improving the standard of living GB: improving the standard of living Great Britain: Question not comparable to Master Questionnaire (5 answer categories instead of 4 categories: 5 'GB: improving the standard of living'). aims of this country: most important (Q137_SE) Show card 35 There is a lot of talk these days about what the aims of this country should be for the next ten years. On this card are listed some of the goals which different people would give top priority. Would you please say which one of these you, yourself, consider the most important? Code one answer only -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: a high level of economic growth SE: a high level of economic growth 2 SE: a strong defence forces SE: a strong defence forces 3 SE: people have more say about how things SE: people have more say about how things 4 SE: trying to make our cities more beautiful SE: trying to make our cities more beautiful Please see flag variable f192_se which indicates inconsistencies for variables v191_se/v192_se. Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. flag variable: aims of this country - most/second important ( (Q137_SE/Q138_SE) -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know 0 consistent 1 inconsistent For detailed information, see EVS 1999 variable report. Flag variable: Indicates inconsistencies for the variables v191_se/v192_se. If most important aim is identical with next most important aim. if v191_se=v192_se then f192_se=1 0 consistent 1 inconsistent aims of this country: 2nd most important (Q138_SE) Q.138 Show card 35 [There is a lot of talk these days about what the aims of this country should be for the next ten years. On this card are listed some of the goals which different people would give top priority. Would you please say which one of these you, yourself, consider the most important?] And which would be the next most important? Code one answer only -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: a high level of economic growth SE: a high level of economic growth 2 SE: a strong defence forces SE: a strong defence forces 3 SE: people have more say about how things SE: people have more say about how things 4 SE: trying to make our cities more beautiful SE: trying to make our cities more beautiful Please see flag variable f192_se which indicates inconsistencies for variables v191_se/v192_se. Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. aims of respondent II: first choice (Q139_SE) Show card 36 Here is another list. In your opinion, which one of these is most important? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: a stable economy SE: a stable economy 2 SE: progress toward a less impersonal and more humane society SE: progress toward a less impersonal and more humane society 3 SE: ideas count more than money SE: ideas count more than money 4 SE: the fight against crime SE: the fight against crime Please see flag variable f194_se which indicates inconsistencies for variables v193_se/v194_se. Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. aims of respondent II: aims of this country - most/second important (Q139_SE/Q140_SE) -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know 0 consistent 1 inconsistent For detailed information, see EVS 1999 variable report. Flag variable: Indicates inconsistencies for the variables v193_se/v194_se. If most important aim is identical with next most important aim. if v193_se=v194_se then f194_se=1 0 consistent 1 inconsistent aims of respondent II: second choice (Q140_SE) Show card 36 Here is another list. And what would be the next most important? Code one answer only -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: a stable economy SE: a stable economy 2 SE: progress toward a less impersonal and more humane society SE: progress toward a less impersonal and more humane society 3 SE: ideas count more than money SE: ideas count more than money 4 SE: the fight against crime SE: the fight against crime Please see flag variable f194_se which indicates inconsistencies for variables v193_se/v194_se. Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. post-materialist index 12-item (SE) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 SE: materialist SE: materialist 1 SE: 1 SE: 1 2 SE: 2 SE: 2 3 SE: 3 SE: 3 4 SE: 4 SE: 4 5 SE: postmaterialist SE: post-materialist Sweden: Variable provided by the World Value Survey. Variable includes three sets of questions to measure post-materialism: Set A (v191_se, v192_se); Set B (v190, v191); Set C (v193_se, v194_se). 12-item index only available for Sweden. Post-materialist index (12-item) - Constructed variable (WVS) good/bad: less emphasis on money (Q57A) Show card 57 Here is a list of various changes in our way of life that might take place in the near future. Please tell me for each one, if it were to happen whether you think it would be a good thing, a bad thing, or don't you mind? Less emphasis on money and material possessions -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 good good 2 bad bad 3 dont mind don't mind Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v111), WVS 2000 (v127). good/bad: decrease work importance (Q57B) Decrease in the importance of work in our lives other missing question not asked not applicable no answer don't know good bad dont mind good/bad: more emphasis on technology (Q57C) More emphasis on the development of technology other missing question not asked not applicable no answer don't know good bad dont mind good/bad: more emphasis on individual (Q57D) Greater emphasis on the development of the individual other missing question not asked not applicable no answer don't know good bad dont mind Slovenia: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. good/bad: more respect for authority (Q57E) Greater respect for authority other missing question not asked not applicable no answer don't know good bad dont mind Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v114), WVS 2000 (v130). good/bad: more emphasis on family life (Q57F) More emphasis on family life other missing question not asked not applicable no answer don't know good bad dont mind good/bad: towards natural lifestyle (Q57G) A simple and more natural lifestyle other missing question not asked not applicable no answer don't know good bad dont mind good/bad: more power to local authorities (Q57H) More power to local authorities other missing question not asked not applicable no answer don't know good bad dont mind how much confidence in: church (Q58A) Show card 58 Please look at this card and tell me, for each item listed, how much confidence you have in them, is it a great deal, quite a lot, not very much or none at all? Code one answer for each item The church -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 a great deal a great deal 2 quite a lot quite a lot 3 not very much not very much 4 none at all none at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v135), WVS 2000 (v147). (Differences: In WVS "churches" instead of "Church") how much confidence in: armed forces (Q58B) The armed forces other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v136), WVS 2000 (v148). how much confidence in: education system (Q58C) The education system other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). how much confidence in: the press (Q58D) The press other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v138), WVS 2000 (v149). how much confidence in: trade unions (Q58E) Trade unions other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v140), WVS 2000 (v151). (Differences: In WVS "labor unions" instead of "trade unions") how much confidence in: the police (Q58F) The police other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v141), WVS 2000 (v152). how much confidence in: parliament (Q58G) Parliament other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v144), WVS 2000 (v155). how much confidence in: civil service (Q58H) Civil service other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v145), WVS 2000 (v156). how much confidence in: social security system (Q58I) The social security system other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). how much confidence in: European Union (Q58J) The European Union other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v149), WVS 2000 (v160). how much confidence in: United Nations Organisation (Q58L) United Nations Organization other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v150), WVS 2000 (v162). how much confidence in: health care system (Q58M) Health care system other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). how much confidence in: justice system (Q58N) The justice system other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v137). who should decide: international peacekeeping (Q167_SE) Some people believe that certain kinds of problems could be better handled by the United Nations than by the various national governments. Others think that these problems should be left entirely to the respective national governments; while others think they would be handled best by the national governments working together with co-ordination by the United Nations. I’m going to mention some problems. For each one, would you tell me whether you think that policies in this area should be decided by the national governments, by the United Nations, or by the national governments with UN co-ordination? International peacekeeping -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: national governments SE: national governments 2 SE: United Nations SE: United Nations 3 SE: national governments, with UN coordination SE: national governments, with UN coordination Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. who should decide: protection of the environment (Q168_SE) Protection of the environment other missing question not asked not applicable no answer don't know SE: national governments SE: United Nations SE: national governments, with UN coordination Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. who should decide: aid to developing countries (Q169_SE) Aid to developing countries other missing question not asked not applicable no answer don't know SE: national governments SE: United Nations SE: national governments, with UN coordination Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. who should decide: refugees (Q170_SE) other missing question not asked not applicable no answer don't know SE: national governments SE: United Nations SE: national governments, with UN coordination Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. who should decide: human rights (Q171_SE) other missing question not asked not applicable no answer don't know SE: national governments SE: United Nations SE: national governments, with UN coordination Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. economic aid to poorer countries (Q172_SE) Some people favour, and others are against, having this country provide economic aid to poorer countries. Do you think that this country should provide more or less economic aid to poorer countries? Would you say we should give … -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: a lot more that we do now SE: a lot more that we do now 2 SE: somewhat more than we do now SE: somewhat more than we do now 3 SE: about the right amount/same SE: about the right amount/same 4 SE: somewhat less than we do now SE: somewhat less than we do now 5 SE: a lot less than do now SE: a lot less than do now Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. satisfaction with the people in national office (Q176_SE) How satisfied are you with the way the people now in national office are handling the country's affairs? Would you say you are very satisfied, fairly satisfied, fairly dissatisfied or very dissatisfied? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: very satisfied SE: very satisfied 2 SE: fairly satisfied SE: fairly satisfied 3 SE: fairly dissatisfied SE: fairly dissatisfied 4 SE: very dissatisfied SE: very dissatisfied Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. are you satisfied with democracy (Q59) On the whole are you very satisfied, rather satisfied, not very satisfied or not at all satisfied with the way democracy is developing in our country? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 very satisfied very satisfied 2 rather satisfied rather satisfied 3 not very satisfied not very satisfied 4 not at all satisfied not at all satisfied Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (E167), WVS 2000 (v168). view government: very bad-very good (Q60) Show card 60 People have different views about the system for governing this country. Here is a scale for rating how well things are going: 1 means very bad; 10 means very good -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 bad bad 10 very good very good 2 3 4 5 6 7 8 9 Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v152), WVS 2000 (v163A). view political system in past: bad-very good (Q61) Show card 61 Where on this scale would you put the political system as it was ........... [in former communist countries: under communist regime] [in countries where recently a change of regime xx has taken place: under xx regime;] [ in countries where no regime change has taken place: ten years ago]? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 bad bad 10 very good very good 2 3 4 5 6 7 8 9 political system: strong leader (Q62A) Show card 62 I’m going to describe various types of political systems and ask what you think about each as a way of governing this country. For each one, would you say it is a very good, fairly good, fairly bad or very bad way of governing this country? Having a strong leader who does not have to bother with parliament and elections -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 very good very good 2 fairly good fairly good 3 fairly bad fairly bad 4 very bad very bad Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v154), WVS 2000 (v164). political system: experts making decisions (Q62B) Having experts, not government, make decisions according to what they think is best for the country other missing question not asked not applicable no answer don't know very good fairly good fairly bad very bad Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v155), WVS 2000 (v165). political system: the army ruling (Q62C) Having the army rule the country other missing question not asked not applicable no answer don't know very good fairly good fairly bad very bad Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v156), WVS 2000 (v166). (Differences: In WVS "the country" is missing after "Having the army rule") political system: democratic (Q62D) Having a democratic political system other missing question not asked not applicable no answer don't know very good fairly good fairly bad very bad Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v157), WVS 2000 (v167). democracy: best political system (Q63A) Show card 63 I’m going to read off some things that people sometimes say about a democratic political system. Could you please tell me if you agree strongly, agree, disagree or disagree strongly, after I read each of them? Democracy may have problems but it's better than any other form of government -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 agree strongly agree strongly 2 agree agree 3 disagree disagree 4 disagree strongly disagree strongly Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v163), WVS 2000 (v172). democracy: causes bad economy (Q63B) In democracy, the economic system runs badly other missing question not asked not applicable no answer don't know agree strongly agree disagree disagree strongly Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v160), WVS 2000 (v169). democracy: is indecisive (Q63C) Democracies are indecisive and have too much squabbling other missing question not asked not applicable no answer don't know agree strongly agree disagree disagree strongly Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v161), WVS 2000 (v170). (Differences: In WVS "quibbling" insted of "squabbling") democracy: cannot maintain order (Q63D) Democracies aren’t good at maintaining order other missing question not asked not applicable no answer don't know agree strongly agree disagree disagree strongly Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v162), WVS 2000 (v171). how much respect for human rights nowadays (Q64) How much respect is there for individual human rights nowadays (in our country)? Do you feel there is: read out -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 lot of respect a lot of respect for individual human rights 2 some respect some respect 3 not much respect not much respect 4 no respect at all no respect at all do you justify: claiming state benefits (Q65A) Show card 65 Please tell me for each of the following statements whether you think it can always be justified, never be justified, or something in between, using this card. Read out statements reversing order for alternate contacts. Code one answer for each statement Claiming state benefits which you are not entitled to -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 never never 10 always always 2 3 4 5 6 7 8 9 Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v192), WVS 2000 (v204). do you justify: cheating on tax (Q65B) Cheating on tax if you have the chance other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v194), WVS 2000 (v206). (Differences: In WVS "taxes" insted of "tax") do you justify: joyriding (Q65C) Taking and driving away a car belonging to someone else (joyriding) other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). do you justify: taking soft drugs (Q65D) Taking the drug marijuana or hashish other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). do you justify: lying in own interest (Q65E) Lying in your own interest other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). do you justify: adultery (Q65F) Married men/women having an affair other missing question not asked not applicable no answer don't know never always Turkey: Data not available for Turkey: question was not asked according to the Master Questionnaire (specified separately for either men or women). Country-specific variables are included in the National Dataset (ZA3808: v230a_tr and v230b_tr). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). do you justify: accepting a bribe (Q65G) Someone accepting a bribe in the course of their duties other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v196), WVS 2000 (v207). do you justify: homosexuality (Q65H) Homosexuality other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v197), WVS 2000 (v208). do you justify: abortion (Q65I) Abortion other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v199), WVS 2000 (v210). do you justify: divorce (Q65J) Divorce other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v200), WVS 2000 (v211). do you justify: euthanasia (Q65K) Euthanasia (terminating the life of the incurably sick) other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v201), WVS 2000 (v212). (Differences: In WVS it is "ending the life" instead of "terminating") do you justify: suicide (Q65L) Suicide other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v202), WVS 2000 (v213). do you justify: throwing away litter in public place (Q65M) Throwing away litter in a public place other missing question not asked not applicable no answer don't know never always do you justify: driving under influence of alcohol (Q65N) Driving under the influence of alcohol other missing question not asked not applicable no answer don't know never always do you justify: paying cash to avoid taxes (Q65O) Paying cash for services to avoid taxes other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording) do you justify: having casual sex (Q65P) Having casual sex other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording) do you justify: smoking in public buildings (Q65Q) Smoking in public buildings other missing question not asked not applicable no answer don't know never always do you justify: speeding over limit in built-up areas (Q65R) Speeding over the limit in built-up areas other missing question not asked not applicable no answer don't know never always how many compatriots: claim state benefits (Q66A) Show card 66 According to you, how many of your compatriots do the following? Claiming state benefits to which they are not entitled -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 almost all almost all 2 many many 3 some some 4 almost none almost none Luxembourg: See v243_LU Slovenia: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. how many compatriots: cheat on tax (Q66B) Cheating on tax if they have the chance other missing question not asked not applicable no answer don't know almost all many some almost none Luxembourg: See v244_LU Slovenia: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. how many compatriots: pay cash to avoid taxes (Q66C) Paying cash for services to avoid taxes other missing question not asked not applicable no answer don't know almost all many some almost none Luxembourg: See v245_LU Slovenia: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. how many compatriots: take soft drugs (Q66D) Taking the drug marijuana or hash other missing question not asked not applicable no answer don't know almost all many some almost none Luxembourg: See v246_LU Slovenia: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. how many compatriots: throw away litter in public place (Q66E) Throwing away litter in a public place other missing question not asked not applicable no answer don't know almost all many some almost none Luxembourg: See v247_LU Slovenia: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. how many compatriots: speed over limit in built-up areas (Q66F) Speeding over the limit in built-up areas other missing question not asked not applicable no answer don't know almost all many some almost none Luxembourg: See v248_LU Slovenia: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. how many compatriots: drive under influence of alcohol (Q66G) Driving under the influence of alcohol other missing question not asked not applicable no answer don't know almost all many some almost none Luxembourg: See v249_LU Slovenia: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. how many compatriots: have casual sex (Q66H) Having casual sex other missing question not asked not applicable no answer don't know almost all many some almost none Luxembourg: See v250_LU Slovenia: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. how many compatriots: claim state benefits (Q66A_LU) (5 answer categories) Show card 66 According to you, how many of your compatriots do the following? Claiming state benefits to which they are not entitled -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 LU: almost all LU: almost all 2 LU: many LU: many 3 LU: some LU: some 4 LU: almost none LU: almost none 5 LU: no one, none LU: no one, none Luxembourg: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 5 'LU: no one, none'). how many compatriots: cheat on tax (Q66B_LU) (5 answer categories) Cheating on tax if they have the chance other missing question not asked not applicable no answer don't know LU: almost all LU: many LU: some LU: almost none LU: no one, none Luxembourg: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 5 'LU: no one, none'). how many compatriots: pay cash to avoid taxes (Q66C_LU) (5 answer categories) Paying cash for services to avoid taxes other missing question not asked not applicable no answer don't know LU: almost all LU: many LU: some LU: almost none LU: no one, none Luxembourg: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 5 'LU: no one, none'). how many compatriots: take soft drugs (Q66D_LU) (5 answer categories) Taking the drug marijuana or hash other missing question not asked not applicable no answer don't know LU: almost all LU: many LU: some LU: almost none LU: no one, none Luxembourg: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 5 'LU: no one, none'). how many compatriots: throw away litter in public place (Q66E_LU) (5 answer categories) Throwing away litter in a public place other missing question not asked not applicable no answer don't know LU: almost all LU: many LU: some LU: almost none LU: no one, none Luxembourg: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 5 'LU: no one, none'). how many compatriots: speed over limit in built-up areas (Q66F_LU) (5 answer categories) Speeding over the limit in built-up areas other missing question not asked not applicable no answer don't know LU: almost all LU: many LU: some LU: almost none LU: no one, none Luxembourg: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 5 'LU: no one, none'). how many compatriots: drive under influence of alcohol (Q66G_LU) (5 answer categories) Driving under the influence of alcohol other missing question not asked not applicable no answer don't know LU: almost all LU: many LU: some LU: almost none LU: no one, none Luxembourg: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 5 'LU: no one, none'). how many compatriots: have casual sex (Q66H_LU) (5 answer categories) Having casual sex other missing question not asked not applicable no answer don't know LU: almost all LU: many LU: some LU: almost none LU: no one, none Luxembourg: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 5 'LU: no one, none'). belong to geographic group - most (Q67) Show card 67 Which of these geographical groups would you say you belong to first of all? Countries other than UK: Please put in corresponding explanations if necessary -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 locality or town locality or town where you live 2 region county region of country where you live 3 country as a whole your country as a whole 4 Europe Europe 5 world as a whole the world as a whole Denmark: Different answer category: the item 'your country as a whole', is translated as 'My country, which is___' in the Danish field questionnaire. Adapted to Master Questionnaire (respondents that did not write 'Denmark' were recoded into -2 'No Answer'). Malta: See v251_MT. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v203), WVS 2000 (v214). belong to geographic group: next (Q68) Show card 67 And the next? Countries other than UK: Please put in corresponding explanations if necessary -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 locality or town locality or town where you live 2 region county region of country where you live 3 country as a whole your country as a whole 4 Europe Europe 5 world as a whole the world as a whole Denmark: Different answer category: the item 'your country as a whole', is translated as 'My country, which is___' in the Dänish field questionnaire. Adapted to Master Questionnaire (respondents that did not write 'Denmark' were recoded into -2 'No Answer'). Malta: See v252_MT Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v204), WVS 2000 (v215). belong to geographic group: least (Q69) Show card 67 And which do you belong to least of all? Countries other than UK: Please put in corresponding explanations if necessary -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 locality or town locality or town where you live 2 region county region of country where you live 3 country as a whole your country as a whole 4 Europe Europe 5 world as a whole the world as a whole Denmark: Different answer category: the item 'your country as a whole', is translated as 'My country, which is___' in the Dänish field questionnaire. Adapted to Master Questionnaire (respondents that did not write 'Denmark' were recoded into -2 'No Answer'). Malta: See v253_MT Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. belong to geographic group: most (6 answer catgories) (Q67_MT) Show card 67 Which of these geographical groups would you say you belong to first of all? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 47001 MT: locality or town 47002 MT: region county 47003 MT: country as a whole 47004 MT: Europe 47005 MT: world as a whole 47006 MT: Mediterranean 1 MT: locality or town 2 MT: region of country 3 MT: country as a whole 4 MT: Europe 5 MT: world as a whole 6 MT: Mediterranean Malta: Question not comparable to Master Questionnaire (6 instead of 5 answer categories: 6 'MT: Mediterranean'). belong to geographic group: next (6 answer categories) (Q68_MT) Show card 67 And the next? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 47001 MT: locality or town 47002 MT: region county 47003 MT: country as a whole 47004 MT: Europe 47005 MT: world as a whole 47006 MT: Mediterranean 1 MT: locality or town 2 MT: region of country 3 MT: country as a whole 4 MT: Europe 5 MT: world as a whole 6 MT: Mediterranean Malta: Question not comparable to Master Questionnaire (6 instead of 5 answer categories: 6 'MT: Mediterranean'). belong to geographic group: least (6 answer categories) (Q69_MT) Show card 67 And which do you belong to least of all? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 47001 MT: locality or town 47002 MT: region county 47003 MT: country as a whole 47004 MT: Europe 47005 MT: world as a whole 47006 MT: Mediterranean 1 MT: locality or town 2 MT: region of country 3 MT: country as a whole 4 MT: Europe 5 MT: world as a whole 6 MT: Mediterranean Malta: Question not comparable to Master Questionnaire (6 instead of 5 answer categories: 6 'MT: Mediterranean'). are you a citizen of ... (country) (Q70) Are you a citizen of [Britain]? Countries other than UK: Please substitute your nation for 'Britain'! if "yes" - go to Q.71; if "no" - go to Q.72 -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Czech Republic and Slovakia: Different filter instruction: respondents with v254=2 are filtered to Q.71b (o46) instead of Q.72 (v256). Germany and Lithuania: Different filter instruction: respondents with v254=2 are filtered to Q.71a (o45) instead of Q.72 (v256). Latvia: Different question and filter structure: v254 is placed right before v256. Respondents with Latvian citizenship (v254=1) are filtered to v256 (which political party would you vote); respondents who are not citizen of Latvia (v254=2) are filtered to v257 (which political party appeals to you most). Luxembourg: Different question wording: Interviewers asked for the 'actual nationality' (instead of 'Are you a citizen of ...?'). Respondents could choose out of 8 answer categories. Variable adapted to Master Questionnaire recoding code 1=1 and else=2. Filter instruction has not been implemented in the field questionnaire. Malta: Different filter structure: respondents who are not citizen of Malta (v254=2) are filtered to v258 (work: people from less developed countries) instead of v256 (which political party would you vote for). Northern Ireland: Different question wording and answer categories: "do you regard yourself as a citizen of Britain, the Republic of Ireland, or both Britain and the Republic of Ireland?". Variable adapted to Master Questionnaire. Romania: Question not asked in Romania. This question was not included in the Romanian field questionnaire, because the sampling procedure allowed only Romanian citizens (all cases coded as 1'yes'). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). how proud are you to be a ... (country) citizen (Q71) How proud are you to be a [British] citizen? Countries other than UK: Please substitute your nationality for 'British'! -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 very proud very proud 2 quite proud quite proud 3 not very proud not very proud 4 not at all proud not at all proud Bulgaria, Czech Republic, France, and Italy: According to filter instruction on v254, respondents with v254=1 should have been asked v255. Empirically some respondents with v254=1 have not been asked v255 and are coded as -3 'nap'. Luxembourg: Deviating question text and filter rules: Interviewers asked 'how proud are you of your nationality?'; due to missing filter instructions on v254 all respondents have been asked v255. Variable adapted to Master Questionnaire by comparing v254 and v255 and recoding accordingly. Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v205), WVS 2000 (v216). which political party would you vote for (Q72) Show card 72 If there was a general election tomorrow, which party would you vote for? Code one answer under (a) below COUNTRY SPECIFIC LIST OF POLITICAL PARTIES! -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 96 I would not vote I would not vote 97 I would cast a blank ballot I would cast a blank ballot 4001 AT: SPÖ AT: SPÖ 4002 AT: ÖVP AT: ÖVP 4003 AT: FPÖ AT: FPÖ 4004 AT: Gruene AT: Gruene 4005 AT: Liberales Forum AT: Liberales Forum 4006 AT: KPÖ AT: KPÖ 4007 AT: DU - Lugner AT: DU - Lugner 4008 AT: no party mentioned AT: no party mentioned 4009 AT: other party AT: other party 5601 BE: Agalev BE: Agalev 5602 BE: CVP BE: CVP 5603 BE: VLD BE: VLD 5604 BE: SP BE: SP 5605 BE: Vlaams Blok BE: Vlaams Blok 5606 BE: VU - ID 21 BE: VU - ID 21 5607 BE: WOW BE: WOW 5608 BE: PVDA - AE BE: PVDA - AE 5609 BE: Vivant BE: Vivant 5610 BE: PNPb BE: PNPb 5611 BE: PS BE: PS 5612 BE: PSC BE: PSC 5613 BE: PRL - FDF - MCC BE: PRL - FDF - MCC 5614 BE: Ecolo BE: Ecolo 5615 BE: Front National BE: Front National 5616 BE: AGIR BE: AGIR 5617 BE: PTB BE: PTB 5618 BE: Een andere partij BE: Een andere partij 10001 BG: Union of Democratic Forces BG: Union of Democratic Forces 10002 BG: Peoples Union BG: Peoples Union 10003 BG: Bulgarian Socialist Party BG: Bulgarian Socialist Party 10004 BG: The Euro-left BG: The Euro-left 10005 BG: Bulgarian Business Block BG: Bulgarian Business Block 10006 BG: Movement for Rights and Freedoms BG: Movement for Rights and Freedoms 10007 BG: Bulgarian Communist Party BG: Bulgarian Communist Party 10008 BG: Liberal-Democratic Union BG: Liberal-Democratic Union 10009 BG: Other BG: Other 10010 BG: Monarchist BG: Monarchist 10011 BG: Bulgarian Social-Democratic Party BG: Bulgarian Social-Democratic Party 10012 BG: Agrarian Union BG: Agrarian Union 10013 BG: Internal Macedonian Revolutionary Organization BG: Internal Macedonian Revolutionary Organization 11201 BY: Party of Communists of Belarus BY: Party of Communists of Belarus 11202 BY: Liberal-Democratic Party BY: Liberal-Democratic Party 11203 BY: Belarussian Women Party Nadejda BY: Belarussian Women Party Nadejda 11204 BY: Republican Party of Labour and Justice BY: Republican Party of Labour and Justice 11205 BY: United Civil Party BY: United Civil Party 11206 BY: Belarussian Social Sport Party BY: Belarussian Social Sport Party 11207 BY: Belarussian Party Zelyenye BY: Belarussian Party Zelyenye 11208 BY: Belarussian Party of Labour BY: Belarussian Party of Labour 11209 BY: Communistic Party of Belarus BY: Communistic Party of Belarus 11210 BY: Belarussian Patriotic Party BY: Belarussian Patriotic Party 11211 BY: Belarussian Social-Democratic Party (Narodnaya Gramada) BY: Belarussian Social-Democratic Party (Narodnaya Gramada) 11212 BY: Social-Democratic Party of Human Agreement BY: Social-Democratic Party of Human Agreement 11213 BY: Belarussian Social-Democratic Gramada BY: Belarussian Social-Democratic Gramada 11214 BY: Belarussian Ecological Party Zelyenyh BY: Belarussian Ecological Party Zelyenyh 11215 BY: Agrarian party BY: Agrarian party 11216 BY: Christian-Conservative Party BNF BY: Christian-Conservative Party BNF 11217 BY: Republican Party BY: Republican Party 19101 HR: ASH HR: ASH 19102 HR: DA HR: DA 19103 HR: H SP HR: H SP 19104 HR: HDZ HR: HDZ 19105 HR: HKDU HR: HKDU 19106 HR: HKDS HR: HKDS 19107 HR: HNS HR: HNS 19108 HR: HPS HR: HPS 19109 HR: HSS HR: HSS 19110 HR: HSLS HR: HSLS 19111 HR: HSP HR: HSP 19112 HR: HSP 1861 HR: HSP 1861 19113 HR: HSU HR: HSU 19114 HR: HND HR: HND 19115 HR: IDF HR: IDF 19116 HR: IDS HR: IDS 19117 HR: LS HR: LS 19118 HR: PGS HR: PGS 19119 HR: SDSS HR: SDSS 19120 HR: SBSH HR: SBSH 19121 HR: SDP HR: SDP 19122 HR: SRP HR: SRP 19123 HR: SDU HR: SDU 19124 HR: SNS HR: SNS 20301 CZ: CSSD CZ: CSSD 20302 CZ: CSNS CZ: CSNS 20303 CZ: KDU-CSL CZ: KDU-CSL 20304 CZ: DEU CZ: DEU 20305 CZ: DZJ CZ: DZJ 20306 CZ: KSCM CZ: KSCM 20307 CZ: MDS CZ: MDS 20308 CZ: nezávislí CZ: nezávislí 20309 CZ: ODS CZ: ODS 20310 CZ: OK CZ: OK 20311 CZ: SPR-RSC CZ: SPR-RSC 20312 CZ: Strana zelených CZ: Strana zelených 20313 CZ: US CZ: US 20314 CZ: other CZ: other 20801 DK: Social Democrats DK: Social Democrats 20802 DK: Social Liberals DK: Social Liberals 20803 DK: Conservatives DK: Conservatives 20804 DK: Centre Democrats DK: Centre Democrats 20805 DK: Socialist People`s Party DK: Socialist People`s Party 20806 DK: Danish People`s Party DK: Danish People`s Party 20807 DK: Christian People`s Party DK: Christian People`s Party 20808 DK: Liberals DK: Liberals 20809 DK: Progress Party DK: Progress Party 20810 DK: Unity List - Red-Green Alliance DK: Unity List - Red-Green Alliance 20811 DK: No right to vote DK: No right to vote 20812 DK: None of these parties DK: None of these parties 20815 DK: Refuse to answer DK: Refuse to answer 23301 EE: Estonian Social Democratic Labour Party EE: Estonian Social Democratic Labour Party 23302 EE: Estonian Centre Party EE: Estonian Centre Party 23303 EE: Estonian Coalition Party EE: Estonian Coalition Party 23304 EE: Estonian Christian People`s Party EE: Estonian Christian People`s Party 23305 EE: Estonian Country People`s Party EE: Estonian Country People`s Party 23306 EE: Estonian Pensioners` and Families` Party EE: Estonian Pensioners` and Families` Party 23307 EE: Estonian United People`s Party EE: Estonian United People`s Party 23308 EE: Estonian Reform Party EE: Estonian Reform Party 23309 EE: Estonian Blue Party EE: Estonian Blue Party 23310 EE: Pro Patria Union EE: Pro Patria Union 23311 EE: The Rural Union EE: The Rural Union 23312 EE: Moderates EE: Moderates 23313 EE: Farmers Union EE: Farmers Union 23314 EE: Russian Party in Estonia EE: Russian Party in Estonia 23315 EE: Russian Unity Party EE: Russian Unity Party 23316 EE: Other EE: Other 24601 FI: Social Democratic Party of Finland FI: Social Democratic Party of Finland 24602 FI: Centre Party of Finland (centre, big, conservative) FI: Centre Party of Finland (centre, big, conservative) 24603 FI: National Coalition Party (rght, big, conservative) FI: National Coalition Party (rght, big, conservative) 24604 FI: Left Alliance (left, medium, progressive) FI: Left Alliance (left, medium, progressive) 24605 FI: Swedish Peoples Party in Finland FI: Swedish Peoples Party in Finland 24606 FI: Green League (centre, medium, progressive) FI: Green League (centre, medium, progressive) 24607 FI: Christian League of Finland (right, medium, religious) FI: Christian League of Finland (right, medium, religious) 24608 FI: True Finns (right, small, conservative) FI: True Finns (right, small, conservative) 24609 FI: Reform Group (centre, small, progressive) FI: Reform Group (centre, small, progressive) 24610 FI: some other party FI: some other party 25001 FR: extrême-gauche FR: extrême-gauche 25002 FR: Parti communiste FR: Parti communiste 25003 FR: Parti socialiste FR: Parti socialiste 25004 FR: Les Verts FR: Les Verts 25005 FR: Autres écologistes FR: Autres écologistes 25006 FR: Union pour la démocratie française FR: Union pour la démocratie française 25007 FR: Démocratice libérale FR: Démocratice libérale 25008 FR: Rassemblement Pour la Républicue FR: Rassemblement Pour la Républicue 25009 FR: Le Front National de Jean-Marie Le Pen FR: Le Front National de Jean-Marie Le Pen 25010 FR: Le Front National de Bruno Mégret FR: Le Front National de Bruno Mégret 25011 FR: other FR: other 27601 DE: CDU/CSU DE: CDU/CSU 27602 DE: SPD DE: SPD 27603 DE: FDP DE: FDP 27604 DE: Buendnis90/gruene DE: Buendnis90/gruene 27605 DE: PDS DE: PDS 27606 DE: Republikaner DE: Republikaner 27607 DE: other party DE: other party 30001 GR: SocialisticParty GR: SocialisticParty 30002 GR: Conservative GR: Conservative 30003 GR: Communists GR: Communists 30004 GR: LeftWing-Communists GR: LeftWing-Communists 30005 GR: LeftWing-Socialists GR: LeftWing-Socialists 30006 GR: RightWing GR: RightWing 30007 GR: Other GR: Other 34801 HU: Magyar Demokrata Fórum-MDF HU: Magyar Demokrata Fórum-MDF 34802 HU: Szabad Demokraták Szövetsége-SZDSZ HU: Szabad Demokraták Szövetsége-SZDSZ 34803 HU: Független Kisgazda Párt-FKgP HU: Független Kisgazda Párt-FKgP 34804 HU: FIDESZ Magyar Polgári Párt HU: FIDESZ Magyar Polgári Párt 34805 HU: Keresztény Demokrata Néppárt-KDNP HU: Keresztény Demokrata Néppárt-KDNP 34806 HU: Magyar Szocialista Párt-MSZP HU: Magyar Szocialista Párt-MSZP 34807 HU: Magyar Igazság és Élet Pártja-MIÉP HU: Magyar Igazság és Élet Pártja-MIÉP 34808 HU: Magyar Szocialista Munkáspárt-MSZMP HU: Magyar Szocialista Munkáspárt-MSZMP 34809 HU: other HU: other 35201 IS: Progressive Party IS: Progressive Party 35202 IS: Independence Party IS: Independence Party 35203 IS: The Alliance IS: The Alliance 35204 IS: Liberal Party IS: Liberal Party 35205 IS: Left - Greens IS: Left - Greens 35206 IS: Humanist Party IS: Humanist Party 35207 IS: The Christian Party IS: The Christian Party 35208 IS: Social Democratic Party IS: Social Democratic Party 35209 IS: People´s Alliance IS: People´s Alliance 35210 IS: Women´s Alliance IS: Women´s Alliance 35211 IS: Other IS: Other 37201 IE: Fianna Fail IE: Fianna Fail 37202 IE: Fine Gael IE: Fine Gael 37203 IE: Labour IE: Labour 37204 IE: Progressive Democrats IE: Progressive Democrats 37205 IE: Sinn Fein IE: Sinn Fein 37206 IE: Green Party IE: Green Party 37207 IE: Independent IE: Independent 37208 IE: Other IE: Other 38001 IT: Fiamma Tricol. IT: Fiamma Tricol. 38002 IT: AN IT: AN 38003 IT: CCD IT: CCD 38004 IT: FI IT: FI 38005 IT: CDU IT: CDU 38006 IT: Lega Nord IT: Lega Nord 38007 IT: Liste etn. loc. IT: Liste etn. loc. 38008 IT: Radicali IT: Radicali 38009 IT: UDR IT: UDR 38010 IT: RI IT: RI 38011 IT: PPI IT: PPI 38012 IT: Democratici IT: Democratici 38013 IT: SDI IT: SDI 38014 IT: Verdi IT: Verdi 38015 IT: Dem. sinistra IT: Dem. sinistra 38016 IT: P. comun. Ital. IT: P. comun. Ital. 38017 IT: Rifond. comun. IT: Rifond. comun. 42804 LV: Latvia`s Way LV: Latvia`s Way 42806 LV: Party of National Agreement LV: Party of National Agreement 42807 LV: The New Party LV: The New Party 42809 LV: Latvian Farmers` Union LV: Latvian Farmers` Union 42810 LV: Democratic Party `Saimnieks` LV: Democratic Party `Saimnieks` 42811 LV: People Movement for Latvia LV: People Movement for Latvia 42814 LV: People`s Party LV: People`s Party 42815 LV: Alliance of Social Democrats of Latvia LV: Alliance of Social Democrats of Latvia 42817 LV: For Fatherland and Freedom/LNNK LV: For Fatherland and Freedom/LNNK 42822 LV: Other LV: Other 44001 LT: Homeland Union LT: Homeland Union 44002 LT: Christian democratic party LT: Christian democratic party 44003 LT: Democratic labour party LT: Democratic labour party 44004 LT: Center Union LT: Center Union 44005 LT: Socialdemocratic party LT: Socialdemocratic party 44006 LT: Lithuanian national party Jaunoji Lietuva LT: Lithuanian national party Jaunoji Lietuva 44007 LT: New democracy/Women party LT: New democracy/Women party 44008 LT: Christian democratic union LT: Christian democratic union 44009 LT: Polish election action LT: Polish election action 44010 LT: Aliance of Lithuanian citizens LT: Aliance of Lithuanian citizens 44011 LT: Lithuanian national union LT: Lithuanian national union 44012 LT: Democratic party LT: Democratic party 44013 LT: Liberal union LT: Liberal union 44014 LT: Peasants party LT: Peasants party 44015 LT: Lithuanian Rusians union LT: Lithuanian Rusians union 44016 LT: Lithunian political prisoners and deported people union LT: Lithunian political prisoners and deported people union 44017 LT: Lithuanian freedom union LT: Lithuanian freedom union 44018 LT: Lithuanian industrial party LT: Lithuanian industrial party 44019 LT: Lithuanian freedom league LT: Lithuanian freedom league 44020 LT: Lithuanian social justice union LT: Lithuanian social justice union 44021 LT: Lithuanian socialist party LT: Lithuanian socialist party 44022 LT: Lithuanian republican party LT: Lithuanian republican party 44023 LT: National progress party LT: National progress party 44024 LT: Logic of life party LT: Logic of life party 44025 LT: Lithuanian humanist party LT: Lithuanian humanist party 44026 LT: Lithuanian people party LT: Lithuanian people party 44027 LT: Lithuanian reform party LT: Lithuanian reform party 44028 LT: Lithuanian green party LT: Lithuanian green party 44029 LT: Independence party LT: Independence party 44030 LT: Lithuanian ancenstors revival party LT: Lithuanian ancenstors revival party 44031 LT: Political prisoners party LT: Political prisoners party 44032 LT: Lithuanian justice party LT: Lithuanian justice party 44033 LT: Movement Elections 96 LT: Movement Elections 96 44034 LT: New union (socialliberals) LT: New union (socialliberals) 44035 LT: National democratic party LT: National democratic party 44201 LU: ADR (populist party) LU: ADR (populist party) 44202 LU: CSV (socio-catholic party) LU: CSV (socio-catholic party) 44203 LU: Déi Gréng (Green) LU: Déi Gréng (Green) 44204 LU: Déi Lenk (former communists) LU: Déi Lenk (former communists) 44205 LU: Demokratesch Partei (DP; liberal party) LU: Demokratesch Partei (DP; liberal party) 44206 LU: d´Sozialisten (LSAP; socialists) LU: d´Sozialisten (LSAP; socialists) 44213 LU: other LU: other 47001 MT: Nationalist Party MT: Nationalist Party 47002 MT: Malta Labour party MT: Malta Labour party 47003 MT: Alternattiva Demokratika MT: Alternattiva Demokratika 52801 NL: PvdA NL: PvdA 52802 NL: CDA NL: CDA 52803 NL: VVD NL: VVD 52804 NL: D66 NL: D66 52805 NL: Groen links NL: Groen links 52806 NL: SGP NL: SGP 52807 NL: GPV NL: GPV 52808 NL: RPF NL: RPF 52809 NL: Socialistische Partij NL: Socialistische Partij 52810 NL: De groenen NL: De groenen 52811 NL: andere partij NL: andere partij 61601 PL: Akcja Wyborcza Solidarnosc (Electoral Action Solidarity) PL: Akcja Wyborcza Solidarnosc (Electoral Action Solidarity) 61602 PL: PSL (Polish Peasantts Party) PL: PSL (Polish Peasantts Party) 61603 PL: ROP (Movement for Reconstruction of Poland) PL: ROP (Movement for Reconstruction of Poland) 61604 PL: SLD (Alliance of Democratic Left) PL: SLD (Alliance of Democratic Left) 61605 PL: UPR (Union of Real Politics) PL: UPR (Union of Real Politics) 61606 PL: UP (Union of Labor) PL: UP (Union of Labor) 61607 PL: UW (Union of Freedom) PL: UW (Union of Freedom) 61608 PL: KPEiR (Country Party of Pennsioned and Retired Persons) PL: KPEiR (Country Party of Pennsioned and Retired Persons) 61609 PL: Narodowo-Chrzescijañsko-Demokratyczny Blok dla Polski PL: Narodowo-Chrzescijañsko-Demokratyczny Blok dla Polski 61610 PL: other PL: other 62001 PT: Bloco de esquerda (left block) PT: Bloco de esquerda (left block) 62002 PT: CDS/PP (social-democratic christians) PT: CDS/PP (social-democratic christians) 62003 PT: CDU-PCP (communist party) PT: CDU-PCP (communist party) 62004 PT: MRPP (left wing party) PT: MRPP (left wing party) 62005 PT: PPD/PSD (social democrats) PT: PPD/PSD (social democrats) 62006 PT: PS (socialist party) PT: PS (socialist party) 62007 PT: PSR (left wing party) PT: PSR (left wing party) 62008 PT: UDP (left wing party) PT: UDP (left wing party) 62009 PT: Other PT: Other 64201 RO: CDR - center-right coalition (PNL,PNTCD,AC,Ecologists) RO: CDR - center-right coalition (PNL,PNTCD,AC,Ecologists) 64202 RO: PDSR - social democratic RO: PDSR - social democratic 64203 RO: PD - social democratic RO: PD - social democratic 64204 RO: PNTCD - christian democratic RO: PNTCD - christian democratic 64205 RO: PNL - liberal RO: PNL - liberal 64206 RO: UDMR - Hungarians Union RO: UDMR - Hungarians Union 64207 RO: PRM - nationalist RO: PRM - nationalist 64208 RO: PSDR - social-democratic RO: PSDR - social-democratic 64209 RO: PUNR - nationalist RO: PUNR - nationalist 64210 RO: ApR - social-democratic RO: ApR - social-democratic 64211 RO: any party RO: any party 64212 RO: UFD - radical liberalism RO: UFD - radical liberalism 64217 RO: PR - gypsy party RO: PR - gypsy party 64218 RO: PS/PSM - socialist RO: PS/PSM - socialist 64220 RO: Ecologists RO: Ecologists 64229 RO: CDR as a whole RO: CDR as a whole 64234 RO: AC - the Civic Aliance (intellectuals) RO: AC - the Civic Aliance (intellectuals) 64235 RO: FDG - Germans Forum RO: FDG - Germans Forum 64266 RO: others RO: others 64301 RU: Agrarian Party RU: Agrarian Party 64302 RU: Communist Party of the RF RU: Communist Party of the RF 64303 RU: Liberal-Democratic Party RU: Liberal-Democratic Party 64304 RU: Our Home is Russia RU: Our Home is Russia 64305 RU: New Force RU: New Force 64306 RU: Fatherland RU: Fatherland 64307 RU: Right-Wing Bloc RU: Right-Wing Bloc 64308 RU: Russian All-People's Union RU: Russian All-People's Union 64309 RU: Russian National Unity RU: Russian National Unity 64310 RU: Working Russia RU: Working Russia 64311 RU: Honour & Motherland RU: Honour & Motherland 64312 RU: Yabloko RU: Yabloko 64390 RU: other RU: other 64395 RU: none RU: none 70301 SK: Democratic Party (DS) SK: Democratic Party (DS) 70302 SK: Democratic Union (DU) SK: Democratic Union (DU) 70303 SK: Movem. for Democratic Sk (HZDS) SK: Movem. for Democratic Sk (HZDS) 70304 SK: Communist Party (KSS) SK: Communist Party (KSS) 70305 SK: Christian Democracy (KDH) SK: Christian Democracy (KDH) 70306 SK: National Party (SNS) SK: National Party (SNS) 70307 SK: Social Democracy (SDSS) SK: Social Democracy (SDSS) 70308 SK: Democratic Left (SDL) SK: Democratic Left (SDL) 70309 SK: Hungarian Coalition (SMK) SK: Hungarian Coalition (SMK) 70310 SK: Civil Understanding (SOP) SK: Civil Understanding (SOP) 70311 SK: Business&Entrepreneurs (SPZ) SK: Business&Entrepreneurs (SPZ) 70312 SK: Green Party (SZS) SK: Green Party (SZS) 70313 SK: Entrepreneurs&Farmers Union (UZPR) SK: Entrepreneurs&Farmers Union (UZPR) 70314 SK: Workers Association (ZRS) SK: Workers Association (ZRS) 70315 SK: Democratic Coalition (SDK) SK: Democratic Coalition (SDK) 70316 SK: other party/movement SK: other party/movement 70501 SI: DS (Democratic Party) SI: DS (Democratic Party) 70502 SI: DeSUS (Democratic Party of Pensioners of Slovenia) SI: DeSUS (Democratic Party of Pensioners of Slovenia) 70503 SI: LDS (Liberal Democracy of Slovenia) SI: LDS (Liberal Democracy of Slovenia) 70504 SI: SLS (Slovene Peoples Party) SI: SLS (Slovene Peoples Party) 70505 SI: SNS (Slovene National Party) SI: SNS (Slovene National Party) 70506 SI: SDS (Social Democratic Party) SI: SDS (Social Democratic Party) 70507 SI: SKD (Slovene Christian Democrats) SI: SKD (Slovene Christian Democrats) 70508 SI: ZLSD (Associated List of Social Democrats) SI: ZLSD (Associated List of Social Democrats) 70509 SI: ZS (Green Party) SI: ZS (Green Party) 70510 SI: other party SI: other party 72401 ES: PSOE (Partido Socialista Obrero Español) ES: PSOE (Partido Socialista Obrero Español) 72402 ES: PP (Partido Popular) ES: PP (Partido Popular) 72403 ES: IU (Izquierda Unida) ES: IU (Izquierda Unida) 72404 ES: PDNI (Partido Democrático de la Nueva Izquierda) ES: PDNI (Partido Democrático de la Nueva Izquierda) 72405 ES: Verdes -green- ES: Verdes -green- 72406 ES: Otro -other- ES: Otro -other- 72407 ES: BNG (Bloque Nacionalista Galego) ES: BNG (Bloque Nacionalista Galego) 72409 ES: CC (Coalición Canaria) ES: CC (Coalición Canaria) 72410 ES: UPN (Unión del Pueblo Navarro) ES: UPN (Unión del Pueblo Navarro) 72411 ES: CDN (Convergencia de Demócratas de Navarra) ES: CDN (Convergencia de Demócratas de Navarra) 72412 ES: HB-EH (Herri Batasuna - Euskal Herritarrok) ES: HB-EH (Herri Batasuna - Euskal Herritarrok) 72413 ES: PNV (Partido Nacionalista Vasco) ES: PNV (Partido Nacionalista Vasco) 72415 ES: EA (Eusko Alkartasuna) ES: EA (Eusko Alkartasuna) 72416 ES: CHA (Chunta Aragonesista) ES: CHA (Chunta Aragonesista) 72417 ES: PAR (Partido Aragonés Regionalista) ES: PAR (Partido Aragonés Regionalista) 72418 ES: IC (Iniciativa per Catalunya) ES: IC (Iniciativa per Catalunya) 72419 ES: CiU (Convergencia i Unió) ES: CiU (Convergencia i Unió) 72420 ES: ERC (Esquerra Republicana de Catalunya) ES: ERC (Esquerra Republicana de Catalunya) 72421 ES: PA (Partido Andalucista) ES: PA (Partido Andalucista) 72422 ES: Unió Valenciana ES: Unió Valenciana 72423 ES: Otro -other- ES: Otro -other- 75201 SE: Centerpartiet SE: Centerpartiet 75202 SE: Folkpartiet SE: Folkpartiet 75203 SE: Kristdemokraterna, Kd SE: Kristdemokraterna, Kd 75204 SE: Miljöpartiet SE: Miljöpartiet 75205 SE: Moderata samlingspartiet SE: Moderata samlingspartiet 75206 SE: Socialdemokraterna SE: Socialdemokraterna 75207 SE: Vänsterpartiet SE: Vänsterpartiet 75208 SE: Annat -other- SE: Annat -other- 79201 TR: ANAP (Motherland Party) TR: ANAP (Motherland Party) 79202 TR: CHP (Republican People´s Party) TR: CHP (Republican People´s Party) 79203 TR: DSP (Democratic Left Party) TR: DSP (Democratic Left Party) 79204 TR: DYP (True Path Party) TR: DYP (True Path Party) 79205 TR: HADEP (People`s Democracy Party) TR: HADEP (People`s Democracy Party) 79206 TR: MHP (Nationalist Action Party) TR: MHP (Nationalist Action Party) 79207 TR: SAADET (Felicite Party) TR: SAADET (Felicite Party) 79208 TR: AKP (Justice and Development Party TR: AKP (Justice and Development Party 79209 TR: EREDAL INONU TR: EREDAL INONU 79210 TR: other TR: other 79211 TR: no party/none TR: no party/none 79212 TR: ODP (Freedom and Solidarity Party) TR: ODP (Freedom and Solidarity Party) 79213 TR: DERVIS (World Bank economist) TR: DERVIS (World Bank economist) 79214 TR: LDP (Liberal Democrat Party) TR: LDP (Liberal Democrat Party) 79215 TR: BBP (Great Unity Party) TR: BBP (Great Unity Party) 79216 TR: IP (Workers´ Party) TR: IP (Workers´ Party) 80401 UA: Agrarian Party of Ukraine UA: Agrarian Party of Ukraine 80402 UA: United Gromada UA: United Gromada 80403 UA: Labour Party of Ukraine UA: Labour Party of Ukraine 80404 UA: UNA-UNSO UA: UNA-UNSO 80405 UA: Democratic Party of Ukraine UA: Democratic Party of Ukraine 80406 UA: Communistic Party of Ukraine UA: Communistic Party of Ukraine 80407 UA: Congress of Ukrainian nationalists UA: Congress of Ukrainian nationalists 80408 UA: Liberal Party of Ukraine UA: Liberal Party of Ukraine 80409 UA: People`s democratic Party of Ukraine UA: People`s democratic Party of Ukraine 80410 UA: People`s Movement of Ukraine(Kostenko) UA: People`s Movement of Ukraine(Kostenko) 80411 UA: Peoples Movement of Ukraine(Udovenko) UA: Peoples Movement of Ukraine(Udovenko) 80412 UA: Vpered, Ukrayino! (Forward Ukraine) UA: Vpered, Ukrayino! (Forward Ukraine) 80413 UA: Green Peace Party of Ukraine UA: Green Peace Party of Ukraine 80414 UA: Reforms and Order UA: Reforms and Order 80415 UA: Party of Slavonic Unity of Ukraine UA: Party of Slavonic Unity of Ukraine 80416 UA: Socialistic democratic Unity UA: Socialistic democratic Unity 80417 UA: Progressive socialistic party of Ukraine UA: Progressive socialistic party of Ukraine 80418 UA: Peasant Party of Ukraine UA: Peasant Party of Ukraine 80419 UA: Socialistic democratic Party (united) UA: Socialistic democratic Party (united) 80420 UA: Socialistic party of Ukraine UA: Socialistic party of Ukraine 80421 UA: Socialistic national party of Ukraine UA: Socialistic national party of Ukraine 80422 UA: Ukrainian republican party UA: Ukrainian republican party 80423 UA: Christian democratic party of Ukraine UA: Christian democratic party of Ukraine 80490 UA: Other UA: Other 80495 UA: None UA: None 82601 GB-GBN: Conservative GB-GBN: Conservative 82602 GB-GBN: Labour GB-GBN: Labour 82603 GB-GBN: Liberal Democrat GB-GBN: Liberal Democrat 82604 GB-GBN: Social Democrat GB-GBN: Social Democrat 82605 GB-GBN: Plaid Cymru GB-GBN: Plaid Cymru 82606 GB-GBN: Scottish National Party GB-GBN: Scottish National Party 82607 GB-GBN: Referendum Party GB-GBN: Referendum Party 82608 GB-GBN: UK Independence Party GB-GBN: UK Independence Party 82609 GB-GBN: Green Party GB-GBN: Green Party 82610 GB-GBN: other GB-GBN: other 90901 GB-NIR: ulster unionist GB-NIR: ulster unionist 90902 GB-NIR: SDLP GB-NIR: SDLP 90903 GB-NIR: DUP GB-NIR: DUP 90904 GB-NIR: Alliance GB-NIR: Alliance 90905 GB-NIR: Sinn Fein GB-NIR: Sinn Fein 90906 GB-NIR: PUP GB-NIR: PUP 90907 GB-NIR: UDP GB-NIR: UDP 90908 GB-NIR: UK Unionist GB-NIR: UK Unionist 90909 GB-NIR: Womens coalition GB-NIR: Womens coalition 90910 GB-NIR: Workers party GB-NIR: Workers party 90911 GB-NIR: Green party GB-NIR: Green party 90912 GB-NIR: Other party GB-NIR: Other party Belgium: Different filter structure: not only respondents who don't know (v256=-1) are filtered to v257 (which political party appeals to you most), but also respondents who would not vote (v256=96) and who did not name a party (v256=-2). Bulgaria, Denmark, Greece, and Portugal: Filter on v256 has not been implemented in the field questionnaire. Estonia: Different filter structure: only respondents who do not name a party (v256=-2) are filtered to v257 (which political party appeals to you most). France and Great Britain: Different filter structure: not only respondents who don't know (v256=-1) are filtered to v257 (which political party appeals to you most), but also respondents who did not name a party (v256=-2). Germany: Filter on v256 has not been implemented in the field questionnaire. Additional answer category: 'not entitled to vote' has been coded as -3 (not applicable, not entitled to vote). This category concerns respondents without German citizenship. Latvia: Due to different filter on v254 respondents without citizenship of Latvia (v254=2) have not been asked v256. Luxembourg, Poland, Slovakia, and Sweden: Different filter structure: not only respondents who don't know (v256=-1) are filtered to v257 (which political party appeals to you most), but also respondents who would not vote (v256=96), who would cast a blank ballot (v256=97), or who did not name a party (v296=-2). Malta: Due to different filter on v254 respondents without citizenship of Malta (v254=2) have not been asked v256. Different filter structure: not only respondents who don't know (v256=-1) are filtered to v257 (which political party appeals to you most), but also respondents who would not vote (v256=96) or who would cast a blank ballot (v256=97). Romania: Different filter structure: not only respondents who don't know (v256=-1) are filtered to v257 (which political party appeals to you most), but also respondents who would not vote (v256=96), who would cast a blank ballot (v256=97), who did not name a party (v296=-2), or who answered 'any party' (v256=64211). Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording, response categories). Standardized country-specific variable containing country ISO 3166-1 identifier (CCC) and country-specific categories (political parties). which political party appeals to you most (Q73) If don't know in (a): And which party appeals to you most? Code one answer under (b) below COUNTRY SPECIFIC LIST OF POLITICAL PARTIES! -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 96 I would not vote I would not vote 97 I would cast a blank ballot I would cast a blank ballot 4001 AT: SPÖ AT: SPÖ 4002 AT: ÖVP AT: ÖVP 4003 AT: FPÖ AT: FPÖ 4004 AT: Gruene AT: Gruene 4005 AT: Liberales Forum AT: Liberales Forum 4006 AT: KPÖ AT: KPÖ 4007 AT: DU - Lugner AT: DU - Lugner 4008 AT: no party mentioned AT: no party mentioned 4009 AT: other party AT: other party 5601 BE: Agalev BE: Agalev 5602 BE: CVP BE: CVP 5603 BE: VLD BE: VLD 5604 BE: SP BE: SP 5605 BE: Vlaams Blok BE: Vlaams Blok 5606 BE: VU - ID 21 BE: VU - ID 21 5607 BE: WOW BE: WOW 5608 BE: PVDA - AE BE: PVDA - AE 5609 BE: Vivant BE: Vivant 5610 BE: PNPb BE: PNPb 5611 BE: PS BE: PS 5612 BE: PSC BE: PSC 5613 BE: PRL - FDF - MCC BE: PRL - FDF - MCC 5614 BE: Ecolo BE: Ecolo 5615 BE: Front National BE: Front National 5616 BE: AGIR BE: AGIR 5617 BE: PTB BE: PTB 5618 BE: Een andere partij BE: Een andere partij 10001 BG: Union of Democratic Forces BG: Union of Democratic Forces 10002 BG: Peoples Union BG: Peoples Union 10003 BG: Bulgarian Socialist Party BG: Bulgarian Socialist Party 10004 BG: The Euro-left BG: The Euro-left 10005 BG: Bulgarian Business Block BG: Bulgarian Business Block 10006 BG: Movement for Rights and Freedoms BG: Movement for Rights and Freedoms 10007 BG: Bulgarian Communist Party BG: Bulgarian Communist Party 10008 BG: Liberal-Democratic Union BG: Liberal-Democratic Union 10009 BG: Other BG: Other 10010 BG: Monarchist BG: Monarchist 10011 BG: Bulgarian Social-Democratic Party BG: Bulgarian Social-Democratic Party 10012 BG: Agrarian Union BG: Agrarian Union 10013 BG: Internal Macedonian Revolutionary Organization BG: Internal Macedonian Revolutionary Organization 11201 BY: Party of Communists of Belarus BY: Party of Communists of Belarus 11202 BY: Liberal-Democratic Party BY: Liberal-Democratic Party 11203 BY: Belarussian Women Party Nadejda BY: Belarussian Women Party Nadejda 11204 BY: Republican Party of Labour and Justice BY: Republican Party of Labour and Justice 11205 BY: United Civil Party BY: United Civil Party 11206 BY: Belarussian Social Sport Party BY: Belarussian Social Sport Party 11207 BY: Belarussian Party Zelyenye BY: Belarussian Party Zelyenye 11208 BY: Belarussian Party of Labour BY: Belarussian Party of Labour 11209 BY: Communistic Party of Belarus BY: Communistic Party of Belarus 11210 BY: Belarussian Patriotic Party BY: Belarussian Patriotic Party 11211 BY: Belarussian Social-Democratic Party (Narodnaya Gramada) BY: Belarussian Social-Democratic Party (Narodnaya Gramada) 11212 BY: Social-Democratic Party of Human Agreement BY: Social-Democratic Party of Human Agreement 11213 BY: Belarussian Social-Democratic Gramada BY: Belarussian Social-Democratic Gramada 11214 BY: Belarussian Ecological Party Zelyenyh BY: Belarussian Ecological Party Zelyenyh 11215 BY: Agrarian party BY: Agrarian party 11216 BY: Christian-Conservative Party BNF BY: Christian-Conservative Party BNF 11217 BY: Republican Party BY: Republican Party 19101 HR: ASH HR: ASH 19102 HR: DA HR: DA 19103 HR: H SP HR: H SP 19104 HR: HDZ HR: HDZ 19105 HR: HKDU HR: HKDU 19106 HR: HKDS HR: HKDS 19107 HR: HNS HR: HNS 19108 HR: HPS HR: HPS 19109 HR: HSS HR: HSS 19110 HR: HSLS HR: HSLS 19111 HR: HSP HR: HSP 19112 HR: HSP 1861 HR: HSP 1861 19113 HR: HSU HR: HSU 19114 HR: HND HR: HND 19115 HR: IDF HR: IDF 19116 HR: IDS HR: IDS 19117 HR: LS HR: LS 19118 HR: PGS HR: PGS 19119 HR: SDSS HR: SDSS 19120 HR: SBSH HR: SBSH 19121 HR: SDP HR: SDP 19122 HR: SRP HR: SRP 19123 HR: SDU HR: SDU 19124 HR: SNS HR: SNS 20301 CZ: CSSD CZ: CSSD 20302 CZ: CSNS CZ: CSNS 20303 CZ: KDU-CSL CZ: KDU-CSL 20304 CZ: DEU CZ: DEU 20305 CZ: DZJ CZ: DZJ 20306 CZ: KSCM CZ: KSCM 20307 CZ: MDS CZ: MDS 20308 CZ: nezávislí CZ: nezávislí 20309 CZ: ODS CZ: ODS 20310 CZ: OK CZ: OK 20311 CZ: SPR-RSC CZ: SPR-RSC 20312 CZ: Strana zelených CZ: Strana zelených 20313 CZ: US CZ: US 20314 CZ: other CZ: other 20801 DK: Social Democrats DK: Social Democrats 20802 DK: Social Liberals DK: Social Liberals 20803 DK: Conservatives DK: Conservatives 20804 DK: Centre Democrats DK: Centre Democrats 20805 DK: Socialist People`s Party DK: Socialist People`s Party 20806 DK: Danish People`s Party DK: Danish People`s Party 20807 DK: Christian People`s Party DK: Christian People`s Party 20808 DK: Liberals DK: Liberals 20809 DK: Progress Party DK: Progress Party 20810 DK: Unity List - Red-Green Alliance DK: Unity List - Red-Green Alliance 20811 DK: No right to vote DK: No right to vote 20812 DK: None of these parties DK: None of these parties 20815 DK: Refuse to answer DK: Refuse to answer 23301 EE: Estonian Social Democratic Labour Party EE: Estonian Social Democratic Labour Party 23302 EE: Estonian Centre Party EE: Estonian Centre Party 23303 EE: Estonian Coalition Party EE: Estonian Coalition Party 23304 EE: Estonian Christian People`s Party EE: Estonian Christian People`s Party 23305 EE: Estonian Country People`s Party EE: Estonian Country People`s Party 23306 EE: Estonian Pensioners` and Families` Party EE: Estonian Pensioners` and Families` Party 23307 EE: Estonian United People`s Party EE: Estonian United People`s Party 23308 EE: Estonian Reform Party EE: Estonian Reform Party 23309 EE: Estonian Blue Party EE: Estonian Blue Party 23310 EE: Pro Patria Union EE: Pro Patria Union 23311 EE: The Rural Union EE: The Rural Union 23312 EE: Moderates EE: Moderates 23313 EE: Farmers Union EE: Farmers Union 23314 EE: Russian Party in Estonia EE: Russian Party in Estonia 23315 EE: Russian Unity Party EE: Russian Unity Party 23316 EE: Other EE: Other 24601 FI: Social Democratic Party of Finland FI: Social Democratic Party of Finland 24602 FI: Centre Party of Finland (centre, big, conservative) FI: Centre Party of Finland (centre, big, conservative) 24603 FI: National Coalition Party (rght, big, conservative) FI: National Coalition Party (rght, big, conservative) 24604 FI: Left Alliance (left, medium, progressive) FI: Left Alliance (left, medium, progressive) 24605 FI: Swedish Peoples Party in Finland FI: Swedish Peoples Party in Finland 24606 FI: Green League (centre, medium, progressive) FI: Green League (centre, medium, progressive) 24607 FI: Christian League of Finland (right, medium, religious) FI: Christian League of Finland (right, medium, religious) 24608 FI: True Finns (right, small, conservative) FI: True Finns (right, small, conservative) 24609 FI: Reform Group (centre, small, progressive) FI: Reform Group (centre, small, progressive) 24610 FI: some other party FI: some other party 25001 FR: extrême-gauche FR: extrême-gauche 25002 FR: Parti communiste FR: Parti communiste 25003 FR: Parti socialiste FR: Parti socialiste 25004 FR: Les Verts FR: Les Verts 25005 FR: Autres écologistes FR: Autres écologistes 25006 FR: Union pour la démocratie française FR: Union pour la démocratie française 25007 FR: Démocratice libérale FR: Démocratice libérale 25008 FR: Rassemblement Pour la Républicue FR: Rassemblement Pour la Républicue 25009 FR: Le Front National de Jean-Marie Le Pen FR: Le Front National de Jean-Marie Le Pen 25010 FR: Le Front National de Bruno Mégret FR: Le Front National de Bruno Mégret 25011 FR: other FR: other 27601 DE: CDU/CSU DE: CDU/CSU 27602 DE: SPD DE: SPD 27603 DE: FDP DE: FDP 27604 DE: Buendnis90/gruene DE: Buendnis90/gruene 27605 DE: PDS DE: PDS 27606 DE: Republikaner DE: Republikaner 27607 DE: other party DE: other party 30001 GR: SocialisticParty GR: SocialisticParty 30002 GR: Conservative GR: Conservative 30003 GR: Communists GR: Communists 30004 GR: LeftWing-Communists GR: LeftWing-Communists 30005 GR: LeftWing-Socialists GR: LeftWing-Socialists 30006 GR: RightWing GR: RightWing 30007 GR: Other GR: Other 34801 HU: Magyar Demokrata Fórum-MDF HU: Magyar Demokrata Fórum-MDF 34802 HU: Szabad Demokraták Szövetsége-SZDSZ HU: Szabad Demokraták Szövetsége-SZDSZ 34803 HU: Független Kisgazda Párt-FKgP HU: Független Kisgazda Párt-FKgP 34804 HU: FIDESZ Magyar Polgári Párt HU: FIDESZ Magyar Polgári Párt 34805 HU: Keresztény Demokrata Néppárt-KDNP HU: Keresztény Demokrata Néppárt-KDNP 34806 HU: Magyar Szocialista Párt-MSZP HU: Magyar Szocialista Párt-MSZP 34807 HU: Magyar Igazság és Élet Pártja-MIÉP HU: Magyar Igazság és Élet Pártja-MIÉP 34808 HU: Magyar Szocialista Munkáspárt-MSZMP HU: Magyar Szocialista Munkáspárt-MSZMP 34809 HU: other HU: other 35201 IS: Progressive Party IS: Progressive Party 35202 IS: Independence Party IS: Independence Party 35203 IS: The Alliance IS: The Alliance 35204 IS: Liberal Party IS: Liberal Party 35205 IS: Left - Greens IS: Left - Greens 35206 IS: Humanist Party IS: Humanist Party 35207 IS: The Christian Party IS: The Christian Party 35208 IS: Social Democratic Party IS: Social Democratic Party 35209 IS: People´s Alliance IS: People´s Alliance 35210 IS: Women´s Alliance IS: Women´s Alliance 35211 IS: Other IS: Other 37201 IE: Fianna Fail IE: Fianna Fail 37202 IE: Fine Gael IE: Fine Gael 37203 IE: Labour IE: Labour 37204 IE: Progressive Democrats IE: Progressive Democrats 37205 IE: Sinn Fein IE: Sinn Fein 37206 IE: Green Party IE: Green Party 37207 IE: Independent IE: Independent 37208 IE: Other IE: Other 38001 IT: Fiamma Tricol. IT: Fiamma Tricol. 38002 IT: AN IT: AN 38003 IT: CCD IT: CCD 38004 IT: FI IT: FI 38005 IT: CDU IT: CDU 38006 IT: Lega Nord IT: Lega Nord 38007 IT: Liste etn. loc. IT: Liste etn. loc. 38008 IT: Radicali IT: Radicali 38009 IT: UDR IT: UDR 38010 IT: RI IT: RI 38011 IT: PPI IT: PPI 38012 IT: Democratici IT: Democratici 38013 IT: SDI IT: SDI 38014 IT: Verdi IT: Verdi 38015 IT: Dem. sinistra IT: Dem. sinistra 38016 IT: P. comun. Ital. IT: P. comun. Ital. 38017 IT: Rifond. comun. IT: Rifond. comun. 42804 LV: Latvia`s Way LV: Latvia`s Way 42806 LV: Party of National Agreement LV: Party of National Agreement 42807 LV: The New Party LV: The New Party 42809 LV: Latvian Farmers` Union LV: Latvian Farmers` Union 42810 LV: Democratic Party `Saimnieks` LV: Democratic Party `Saimnieks` 42811 LV: People Movement for Latvia LV: People Movement for Latvia 42814 LV: People`s Party LV: People`s Party 42815 LV: Alliance of Social Democrats of Latvia LV: Alliance of Social Democrats of Latvia 42817 LV: For Fatherland and Freedom/LNNK LV: For Fatherland and Freedom/LNNK 42822 LV: Other LV: Other 44001 LT: Homeland Union LT: Homeland Union 44002 LT: Christian democratic party LT: Christian democratic party 44003 LT: Democratic labour party LT: Democratic labour party 44004 LT: Center Union LT: Center Union 44005 LT: Socialdemocratic party LT: Socialdemocratic party 44006 LT: Lithuanian national party Jaunoji Lietuva LT: Lithuanian national party Jaunoji Lietuva 44007 LT: New democracy/Women party LT: New democracy/Women party 44008 LT: Christian democratic union LT: Christian democratic union 44009 LT: Polish election action LT: Polish election action 44010 LT: Aliance of Lithuanian citizens LT: Aliance of Lithuanian citizens 44011 LT: Lithuanian national union LT: Lithuanian national union 44012 LT: Democratic party LT: Democratic party 44013 LT: Liberal union LT: Liberal union 44014 LT: Peasants party LT: Peasants party 44015 LT: Lithuanian Rusians union LT: Lithuanian Rusians union 44016 LT: Lithunian political prisoners and deported people union LT: Lithunian political prisoners and deported people union 44017 LT: Lithuanian freedom union LT: Lithuanian freedom union 44018 LT: Lithuanian industrial party LT: Lithuanian industrial party 44019 LT: Lithuanian freedom league LT: Lithuanian freedom league 44020 LT: Lithuanian social justice union LT: Lithuanian social justice union 44021 LT: Lithuanian socialist party LT: Lithuanian socialist party 44022 LT: Lithuanian republican party LT: Lithuanian republican party 44023 LT: National progress party LT: National progress party 44024 LT: Logic of life party LT: Logic of life party 44025 LT: Lithuanian humanist party LT: Lithuanian humanist party 44026 LT: Lithuanian people party LT: Lithuanian people party 44027 LT: Lithuanian reform party LT: Lithuanian reform party 44028 LT: Lithuanian green party LT: Lithuanian green party 44029 LT: Independence party LT: Independence party 44030 LT: Lithuanian ancenstors revival party LT: Lithuanian ancenstors revival party 44031 LT: Political prisoners party LT: Political prisoners party 44032 LT: Lithuanian justice party LT: Lithuanian justice party 44033 LT: Movement Elections 96 LT: Movement Elections 96 44034 LT: New union (socialliberals) LT: New union (socialliberals) 44035 LT: National democratic party LT: National democratic party 44201 LU: ADR (populist party) LU: ADR (populist party) 44202 LU: CSV (socio-catholic party) LU: CSV (socio-catholic party) 44203 LU: Déi Gréng (Green) LU: Déi Gréng (Green) 44204 LU: Déi Lenk (former communists) LU: Déi Lenk (former communists) 44205 LU: Demokratesch Partei (DP; liberal party) LU: Demokratesch Partei (DP; liberal party) 44206 LU: d´Sozialisten (LSAP; socialists) LU: d´Sozialisten (LSAP; socialists) 44213 LU: other LU: other 47001 MT: Nationalist Party MT: Nationalist Party 47002 MT: Malta Labour party MT: Malta Labour party 47003 MT: Alternattiva Demokratika MT: Alternattiva Demokratika 52801 NL: PvdA NL: PvdA 52802 NL: CDA NL: CDA 52803 NL: VVD NL: VVD 52804 NL: D66 NL: D66 52805 NL: Groen links NL: Groen links 52806 NL: SGP NL: SGP 52807 NL: GPV NL: GPV 52808 NL: RPF NL: RPF 52809 NL: Socialistische Partij NL: Socialistische Partij 52810 NL: De groenen NL: De groenen 52811 NL: andere partij NL: andere partij 61601 PL: Akcja Wyborcza Solidarnosc (Electoral Action Solidarity) PL: Akcja Wyborcza Solidarnosc (Electoral Action Solidarity) 61602 PL: PSL (Polish Peasantts Party) PL: PSL (Polish Peasantts Party) 61603 PL: ROP (Movement for Reconstruction of Poland) PL: ROP (Movement for Reconstruction of Poland) 61604 PL: SLD (Alliance of Democratic Left) PL: SLD (Alliance of Democratic Left) 61605 PL: UPR (Union of Real Politics) PL: UPR (Union of Real Politics) 61606 PL: UP (Union of Labor) PL: UP (Union of Labor) 61607 PL: UW (Union of Freedom) PL: UW (Union of Freedom) 61608 PL: KPEiR (Country Party of Pennsioned and Retired Persons) PL: KPEiR (Country Party of Pennsioned and Retired Persons) 61609 PL: Narodowo-Chrzescijañsko-Demokratyczny Blok dla Polski PL: Narodowo-Chrzescijañsko-Demokratyczny Blok dla Polski 61610 PL: other PL: other 62001 PT: Bloco de esquerda (left block) PT: Bloco de esquerda (left block) 62002 PT: CDS/PP (social-democratic christians) PT: CDS/PP (social-democratic christians) 62003 PT: CDU-PCP (communist party) PT: CDU-PCP (communist party) 62004 PT: MRPP (left wing party) PT: MRPP (left wing party) 62005 PT: PPD/PSD (social democrats) PT: PPD/PSD (social democrats) 62006 PT: PS (socialist party) PT: PS (socialist party) 62007 PT: PSR (left wing party) PT: PSR (left wing party) 62008 PT: UDP (left wing party) PT: UDP (left wing party) 62009 PT: Other PT: Other 64201 RO: CDR - center-right coalition (PNL,PNTCD,AC,Ecologists) RO: CDR - center-right coalition (PNL,PNTCD,AC,Ecologists) 64202 RO: PDSR - social democratic RO: PDSR - social democratic 64203 RO: PD - social democratic RO: PD - social democratic 64204 RO: PNTCD - christian democratic RO: PNTCD - christian democratic 64205 RO: PNL - liberal RO: PNL - liberal 64206 RO: UDMR - Hungarians Union RO: UDMR - Hungarians Union 64207 RO: PRM - nationalist RO: PRM - nationalist 64208 RO: PSDR - social-democratic RO: PSDR - social-democratic 64209 RO: PUNR - nationalist RO: PUNR - nationalist 64210 RO: ApR - social-democratic RO: ApR - social-democratic 64211 RO: any party RO: any party 64212 RO: UFD - radical liberalism RO: UFD - radical liberalism 64217 RO: PR - gypsy party RO: PR - gypsy party 64218 RO: PS/PSM - socialist RO: PS/PSM - socialist 64220 RO: Ecologists RO: Ecologists 64229 RO: CDR as a whole RO: CDR as a whole 64234 RO: AC - the Civic Aliance (intellectuals) RO: AC - the Civic Aliance (intellectuals) 64235 RO: FDG - Germans Forum RO: FDG - Germans Forum 64266 RO: others RO: others 64301 RU: Agrarian Party RU: Agrarian Party 64302 RU: Communist Party of the RF RU: Communist Party of the RF 64303 RU: Liberal-Democratic Party RU: Liberal-Democratic Party 64304 RU: Our Home is Russia RU: Our Home is Russia 64305 RU: New Force RU: New Force 64306 RU: Fatherland RU: Fatherland 64307 RU: Right-Wing Bloc RU: Right-Wing Bloc 64308 RU: Russian All-People's Union RU: Russian All-People's Union 64309 RU: Russian National Unity RU: Russian National Unity 64310 RU: Working Russia RU: Working Russia 64311 RU: Honour & Motherland RU: Honour & Motherland 64312 RU: Yabloko RU: Yabloko 64390 RU: other RU: other 64395 RU: none RU: none 70301 SK: Democratic Party (DS) SK: Democratic Party (DS) 70302 SK: Democratic Union (DU) SK: Democratic Union (DU) 70303 SK: Movem. for Democratic Sk (HZDS) SK: Movem. for Democratic Sk (HZDS) 70304 SK: Communist Party (KSS) SK: Communist Party (KSS) 70305 SK: Christian Democracy (KDH) SK: Christian Democracy (KDH) 70306 SK: National Party (SNS) SK: National Party (SNS) 70307 SK: Social Democracy (SDSS) SK: Social Democracy (SDSS) 70308 SK: Democratic Left (SDL) SK: Democratic Left (SDL) 70309 SK: Hungarian Coalition (SMK) SK: Hungarian Coalition (SMK) 70310 SK: Civil Understanding (SOP) SK: Civil Understanding (SOP) 70311 SK: Business&Entrepreneurs (SPZ) SK: Business&Entrepreneurs (SPZ) 70312 SK: Green Party (SZS) SK: Green Party (SZS) 70313 SK: Entrepreneurs&Farmers Union (UZPR) SK: Entrepreneurs&Farmers Union (UZPR) 70314 SK: Workers Association (ZRS) SK: Workers Association (ZRS) 70315 SK: Democratic Coalition (SDK) SK: Democratic Coalition (SDK) 70316 SK: other party/movement SK: other party/movement 70501 SI: DS (Democratic Party) SI: DS (Democratic Party) 70502 SI: DeSUS (Democratic Party of Pensioners of Slovenia) SI: DeSUS (Democratic Party of Pensioners of Slovenia) 70503 SI: LDS (Liberal Democracy of Slovenia) SI: LDS (Liberal Democracy of Slovenia) 70504 SI: SLS (Slovene Peoples Party) SI: SLS (Slovene Peoples Party) 70505 SI: SNS (Slovene National Party) SI: SNS (Slovene National Party) 70506 SI: SDS (Social Democratic Party) SI: SDS (Social Democratic Party) 70507 SI: SKD (Slovene Christian Democrats) SI: SKD (Slovene Christian Democrats) 70508 SI: ZLSD (Associated List of Social Democrats) SI: ZLSD (Associated List of Social Democrats) 70509 SI: ZS (Green Party) SI: ZS (Green Party) 70510 SI: other party SI: other party 72401 ES: PSOE (Partido Socialista Obrero Español) ES: PSOE (Partido Socialista Obrero Español) 72402 ES: PP (Partido Popular) ES: PP (Partido Popular) 72403 ES: IU (Izquierda Unida) ES: IU (Izquierda Unida) 72404 ES: PDNI (Partido Democrático de la Nueva Izquierda) ES: PDNI (Partido Democrático de la Nueva Izquierda) 72405 ES: Verdes -green- ES: Verdes -green- 72406 ES: Otro -other- ES: Otro -other- 72407 ES: BNG (Bloque Nacionalista Galego) ES: BNG (Bloque Nacionalista Galego) 72409 ES: CC (Coalición Canaria) ES: CC (Coalición Canaria) 72410 ES: UPN (Unión del Pueblo Navarro) ES: UPN (Unión del Pueblo Navarro) 72411 ES: CDN (Convergencia de Demócratas de Navarra) ES: CDN (Convergencia de Demócratas de Navarra) 72412 ES: HB-EH (Herri Batasuna - Euskal Herritarrok) ES: HB-EH (Herri Batasuna - Euskal Herritarrok) 72413 ES: PNV (Partido Nacionalista Vasco) ES: PNV (Partido Nacionalista Vasco) 72415 ES: EA (Eusko Alkartasuna) ES: EA (Eusko Alkartasuna) 72416 ES: CHA (Chunta Aragonesista) ES: CHA (Chunta Aragonesista) 72417 ES: PAR (Partido Aragonés Regionalista) ES: PAR (Partido Aragonés Regionalista) 72418 ES: IC (Iniciativa per Catalunya) ES: IC (Iniciativa per Catalunya) 72419 ES: CiU (Convergencia i Unió) ES: CiU (Convergencia i Unió) 72420 ES: ERC (Esquerra Republicana de Catalunya) ES: ERC (Esquerra Republicana de Catalunya) 72421 ES: PA (Partido Andalucista) ES: PA (Partido Andalucista) 72422 ES: Unió Valenciana ES: Unió Valenciana 72423 ES: Otro -other- ES: Otro -other- 75201 SE: Centerpartiet SE: Centerpartiet 75202 SE: Folkpartiet SE: Folkpartiet 75203 SE: Kristdemokraterna, Kd SE: Kristdemokraterna, Kd 75204 SE: Miljöpartiet SE: Miljöpartiet 75205 SE: Moderata samlingspartiet SE: Moderata samlingspartiet 75206 SE: Socialdemokraterna SE: Socialdemokraterna 75207 SE: Vänsterpartiet SE: Vänsterpartiet 75208 SE: Annat -other- SE: Annat -other- 79201 TR: ANAP (Motherland Party) TR: ANAP (Motherland Party) 79202 TR: CHP (Republican People´s Party) TR: CHP (Republican People´s Party) 79203 TR: DSP (Democratic Left Party) TR: DSP (Democratic Left Party) 79204 TR: DYP (True Path Party) TR: DYP (True Path Party) 79205 TR: HADEP (People`s Democracy Party) TR: HADEP (People`s Democracy Party) 79206 TR: MHP (Nationalist Action Party) TR: MHP (Nationalist Action Party) 79207 TR: SAADET (Felicite Party) TR: SAADET (Felicite Party) 79208 TR: AKP (Justice and Development Party TR: AKP (Justice and Development Party 79209 TR: EREDAL INONU TR: EREDAL INONU 79210 TR: other TR: other 79211 TR: no party/none TR: no party/none 79212 TR: ODP (Freedom and Solidarity Party) TR: ODP (Freedom and Solidarity Party) 79213 TR: DERVIS (World Bank economist) TR: DERVIS (World Bank economist) 79214 TR: LDP (Liberal Democrat Party) TR: LDP (Liberal Democrat Party) 79215 TR: BBP (Great Unity Party) TR: BBP (Great Unity Party) 79216 TR: IP (Workers´ Party) TR: IP (Workers´ Party) 80401 UA: Agrarian Party of Ukraine UA: Agrarian Party of Ukraine 80402 UA: United Gromada UA: United Gromada 80403 UA: Labour Party of Ukraine UA: Labour Party of Ukraine 80404 UA: UNA-UNSO UA: UNA-UNSO 80405 UA: Democratic Party of Ukraine UA: Democratic Party of Ukraine 80406 UA: Communistic Party of Ukraine UA: Communistic Party of Ukraine 80407 UA: Congress of Ukrainian nationalists UA: Congress of Ukrainian nationalists 80408 UA: Liberal Party of Ukraine UA: Liberal Party of Ukraine 80409 UA: People`s democratic Party of Ukraine UA: People`s democratic Party of Ukraine 80410 UA: People`s Movement of Ukraine(Kostenko) UA: People`s Movement of Ukraine(Kostenko) 80411 UA: Peoples Movement of Ukraine(Udovenko) UA: Peoples Movement of Ukraine(Udovenko) 80412 UA: Vpered, Ukrayino! (Forward Ukraine) UA: Vpered, Ukrayino! (Forward Ukraine) 80413 UA: Green Peace Party of Ukraine UA: Green Peace Party of Ukraine 80414 UA: Reforms and Order UA: Reforms and Order 80415 UA: Party of Slavonic Unity of Ukraine UA: Party of Slavonic Unity of Ukraine 80416 UA: Socialistic democratic Unity UA: Socialistic democratic Unity 80417 UA: Progressive socialistic party of Ukraine UA: Progressive socialistic party of Ukraine 80418 UA: Peasant Party of Ukraine UA: Peasant Party of Ukraine 80419 UA: Socialistic democratic Party (united) UA: Socialistic democratic Party (united) 80420 UA: Socialistic party of Ukraine UA: Socialistic party of Ukraine 80421 UA: Socialistic national party of Ukraine UA: Socialistic national party of Ukraine 80422 UA: Ukrainian republican party UA: Ukrainian republican party 80423 UA: Christian democratic party of Ukraine UA: Christian democratic party of Ukraine 80490 UA: Other UA: Other 80495 UA: None UA: None 82601 GB-GBN: Conservative GB-GBN: Conservative 82602 GB-GBN: Labour GB-GBN: Labour 82603 GB-GBN: Liberal Democrat GB-GBN: Liberal Democrat 82604 GB-GBN: Social Democrat GB-GBN: Social Democrat 82605 GB-GBN: Plaid Cymru GB-GBN: Plaid Cymru 82606 GB-GBN: Scottish National Party GB-GBN: Scottish National Party 82607 GB-GBN: Referendum Party GB-GBN: Referendum Party 82608 GB-GBN: UK Independence Party GB-GBN: UK Independence Party 82609 GB-GBN: Green Party GB-GBN: Green Party 82610 GB-GBN: other GB-GBN: other 90901 GB-NIR: ulster unionist GB-NIR: ulster unionist 90902 GB-NIR: SDLP GB-NIR: SDLP 90903 GB-NIR: DUP GB-NIR: DUP 90904 GB-NIR: Alliance GB-NIR: Alliance 90905 GB-NIR: Sinn Fein GB-NIR: Sinn Fein 90906 GB-NIR: PUP GB-NIR: PUP 90907 GB-NIR: UDP GB-NIR: UDP 90908 GB-NIR: UK Unionist GB-NIR: UK Unionist 90909 GB-NIR: Womens coalition GB-NIR: Womens coalition 90910 GB-NIR: Workers party GB-NIR: Workers party 90911 GB-NIR: Green party GB-NIR: Green party 90912 GB-NIR: Other party GB-NIR: Other party Belgium: Due to different filter structure on v256 respondents who would not vote (v256=96) or who did not name a party (v256=-2) have also been asked v257. Bulgaria, Denmark, Germany, Greece, and Portugal: Due to missing filter on v256 all respondents have been asked v257. Estonia: Due to different filter structure on v256 only respondents who did not name a party (v256=-2) have been asked v257. France and Great Britain: Due to different filter structure on v256 respondents who did not name a party (v256=-2) have also been asked v257. Hungary: Data not available. Italy, Netherlands, and Slovenia: According to filter on v256 only respondents who don't know (v256=-1) should have been asked v257. The filter has been frequently ignored by the interviewers. Latvia: Due to different filter on v254 only respondents without citizenship of Latvia (v254=2) have valid answers on v257. According to filter on v256, respondents who don't know which party they would vote (v256=-1) should have also been asked v257. Empirically all these cases are coded as -2 'no answer'. Luxembourg, Poland, Slovak Republic, and Sweden: Due to different filter structure on v256 respondents who would not vote (v256=96), who cast a blank ballot (v256=97), or who did not name a party (v256=-2) have also been asked v257. Malta: Due to different filter structure on v256 respondents who would not vote (v256=96) or who cast a blank ballot (v256=97) have also been asked v257. Romania: Due to different filter structure on v256 respondents who would not vote (v256=96), who cast a blank ballot (v256=97), who did not name a party (v256=-2), or who would vote 'any party' (v256=64211) have also been asked v257. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording, response categories). Standardized country-specific variable containing country ISO 3166-1 identifier (CCC) and country-specific categories (political parties). work: people from less developed countries (Q74) Show card 74 How about people from less developed countries coming here to work. Which one of the following do you think the government should do? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 anyone come who wants to let anyone come who wants to 2 come when jobs available let people come as long as there are jobs available 3 strict limits on the number of foreigners put strict limits on the number of foreigners who can come here 4 prohibit people coming here from other countries prohibit people coming here from other countries Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Comparable questions: WVS 1995 (v134), WVS 2000 (v146). immigrants: maintain own/take over customs (Q75) Show card 75 Which of these statements is the nearest to your opinion? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 maintain distinct customs and traditions A: For the greater good of society it is better if immigrants maintain their distinct customs and traditions 2 take over the customs of the country B: For the greater good of society it is better if immigrants do not maintain their distinct customs and traditions but take over the customs of the country Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. important: eliminating income inequalities (Q76A) Show card 76 In order to be considered "just", what should a society provide? Please tell me for each statement if it is important or unimportant to you. 1 means very important; 5 means not important at all. Eliminating big inequalities in income between citizens -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 very important very important 5 not at all important not at all important 2 3 4 Ukraine: See v260_UA important: basic needs for all (Q76B) Guaranteeing that basic needs are met for all, in terms of food, housing, cloths, education, health other missing question not asked not applicable no answer don't know very important not at all important Ukraine: See v261_UA important: recognizing people on merits (Q76C) Recognizing people on their merits other missing question not asked not applicable no answer don't know very important not at all important Ukraine: See v262_UA important: eliminating income inequalities (Q76A_UA) (4 answer categories) Show card 76 In order to be considered "just", what should a society provide? Please tell me for each statement if it is important or unimportant to you. 1 means very important; 5 means not important at all. Eliminating big inequalities in income between citizens -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 UA: very important UA: very important 4 UA: not at all important UA: not at all important 2 3 Ukraine: Question not comparable to Master Questionnaire (4-point-scale instead of the 5-point-scale). important: basic needs for all (Q76B_UA) (4 answer categories) Guaranteeing that basic needs are met for all, in terms of food, housing, cloths, education, health other missing question not asked not applicable no answer don't know UA: very important UA: not at all important Ukraine: Question not comparable to Master Questionnaire (4-point-scale instead of the 5-point-scale). important: recognizing people on merits (Q76C_UA) (4 answer categories) Recognizing people on their merits other missing question not asked not applicable no answer don't know UA: very important UA: not at all important Ukraine: Question not comparable to Master Questionnaire (4-point-scale instead of the 5-point-scale). how often do you follow politics in media (Q77) Show card 77 How often do you follow politics in the news on television or on the radio or in the daily papers? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 every day every day 2 several times a week several times a week 3 once or twice a week once or twice a week 4 less often less often 5 never never Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 2000 (v217). give information to help justice (Q78A) Show card 78 Can you tell me your opinion on each of the following statements? If someone has information that may help justice be done, generally he or she should give it to authorities -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 agree strongly agree strongly 2 agree agree 3 agree nor disagree neither agree nor disagree 4 disagree disagree 5 disagree strongly disagree strongly Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). people should stick to own affairs (Q78B) People should stick to their own affairs and not show too much interest in what others say or do other missing question not asked not applicable no answer don't know agree strongly agree agree nor disagree disagree disagree strongly Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). are you concerned with: immediate family (Q79A) Show card 79 To what extent do you feel concerned about the living conditions of: Your immediate family -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 very much very much 2 much much 3 to a certain extent to a certain extent 4 not so much not so much 5 not at all not at all Germany: Additional answer category: -3 "nap" for respondents without immediate family. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). are you concerned with: people in neighbourhood (Q79B) People in your neighbourhood other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). are you concerned with: people in own region (Q79C) The people of the region you live in other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). are you concerned with: fellow countrymen (Q79D) Your fellow countrymen other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). are you concerned with: europeans (Q79E) Europeans other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). are you concerned with: humankind (Q79F) Human kind other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). are you concerned with: elderly people (Q80A) Show card 80 To what extent do you feel concerned about the living conditions of: elderly people in your country -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 very much very much 2 much much 3 to a certain extent to a certain extent 4 not so much not so much 5 not at all not at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). are you concerned with: unemployed people (Q80B) unemployed people in your country other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). are you concerned with: immigrants (Q80C) immigrants in your country other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). are you concerned with: sick and disabled (Q80D) sick and disabled people in your country other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). are you prepared to help: immediate family (Q81A) Show card 81 Would you be prepared to actually do something to improve the conditions of: your immediate family -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 absolutely yes absolutely yes 2 yes yes 3 maybe yes/maybe no maybe yes/maybe no 4 no no 5 absolutely no absolutely no Germany: Additional answer category: -3 "nap" for respondents without immediate family. Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. are you prepared to help: people in neighbourhood (Q81B) people in your neighbourhood/community other missing question not asked not applicable no answer don't know absolutely yes yes maybe yes/maybe no no absolutely no Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. are you prepared to help: eldery people (Q81C) elderly people in your country other missing question not asked not applicable no answer don't know absolutely yes yes maybe yes/maybe no no absolutely no Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. are you prepared to help: immigrants (Q81D) immigrants in your country other missing question not asked not applicable no answer don't know absolutely yes yes maybe yes/maybe no no absolutely no Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. are you prepared to help: sick and disabled (Q81E) sick and disabled people in your country other missing question not asked not applicable no answer don't know absolutely yes yes maybe yes/maybe no no absolutely no Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. protecting environment vs. economic growth (Q241_SE) Here are two statements people sometimes make when discussing the environment and economic growth. Which of them comes closer to your own point of view? A. Protecting the environment should be given priority, even if it causes slower economic growth and some loss of jobs B. Economic growth and creating jobs should be the top priority, even if the environment suffers to some extent -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: protecting environment SE: protecting environment 2 SE: economy growth and creating jobs SE: economy growth and creating jobs 3 SE: other answer SE: other answer Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. human & nature (Q242_SE) For each of the following pairs of statements, please tell me which one comes closest to your own views: A. Human beings should master nature B. Human beings should coexist with nature -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: master nature SE: master nature 2 SE: coexist with nature SE: coexist with nature 3 SE: both SE: both 4 SE: neither SE: neither 5 SE: other answer SE: other answer Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. good human relationships (Q243_SE) For each of the following pairs of statements, please tell me which one comes closest to your own views: -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: understand other´s preferences SE: understand other´s preferences 2 SE: express one´s own SE: express one´s own 3 SE: both SE: both 4 SE: neither SE: neither 5 SE: other answer SE: other answer Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. help elderly: is moral duty (Q82A) INTERVIEWER: ONLY those who have absolutely yes or yes on 81c! Show card 82 There can be several reasons to do something to help the elderly people your country. Please tell me for each of the reasons I am going to read out, if they apply to you or not. Code an answer for each reason Because you feel you have a moral duty to help -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 very much very much 2 much much 3 to a certain extent to a certain extent 4 not so much not so much 5 not at all not at all Ireland, Northern Ireland, Sweden, and Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Hungary: Data not available. Malta: See v281_MT help elderly: sympathize with them (Q82B) Because you sympathize with them other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Ireland, Northern Ireland, Sweden, and Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Hungary: Data not available. Malta: See v282_MT help elderly: is in interest of society (Q82C) Because it is in the interest of society other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Ireland, Northern Ireland, Sweden, and Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Hungary: Data not available. Malta: See v283_MT help elderly: is in own interest (Q82D) Because it is in your own interest other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Ireland, Northern Ireland, Sweden, and Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Hungary: Data not available. Malta: See v284_MT help elderly: do something in return (Q82E) To do something in return other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Ireland, Northern Ireland, Sweden, and Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Hungary: See v285_HU Malta: See v285_MT help elderly: is moral duty (Q82A_MT) (2 answer categories) INTERVIEWER: ONLY those who have absolutely yes or yes on 81c! Show card 82 There can be several reasons to do something to help the elderly people your country. Please tell me for each of the reasons I am going to read out, if they apply to you or not. Code an answer for each reason Because you feel you have a moral duty to help -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 MT: no MT: no 1 MT: yes MT: yes Malta: Question not comparable to Master Questionnaire (2 instead of 5 answer categories). Response categories documented according to dataset. In Field Questionnaire response categories are: 1. yes 2. no help elderly: sympathize with them (Q82B_MT) (2 answer categories) Because you sympathize with them other missing question not asked not applicable no answer don't know MT: no MT: yes Malta: Question not comparable to Master Questionnaire (2 instead of 5 answer categories). Response categories documented according to dataset. In Field Questionnaire response categories are: 1. yes 2. no help elderly: is in interest of society (Q82C_MT) (2 answer categories) Because it is in the interest of society other missing question not asked not applicable no answer don't know MT: no MT: yes Malta: Question not comparable to Master Questionnaire (2 instead of 5 answer categories). Response categories documented according to dataset. In Field Questionnaire response categories are: 1. yes 2. no help elderly: is in own interest (Q82D_MT) (2 answer categories) Because it is in your own interest other missing question not asked not applicable no answer don't know MT: no MT: yes Malta: Question not comparable to Master Questionnaire (2 instead of 5 answer categories). Response categories documented according to dataset. In Field Questionnaire response categories are: 1. yes 2. no help elderly: do something in return (Q82E_MT) (2 answer categories) To do something in return other missing question not asked not applicable no answer don't know MT: no MT: yes Malta: Question not comparable to Master Questionnaire (2 instead of 5 answer categories). Response categories documented according to dataset. In Field Questionnaire response categories are: 1. yes 2. no help elderly: do something in return (Q82E_HU) (2 answer categories) INTERVIEWER: ONLY those who have absolutely yes or yes on 81c! Show card 82 There can be several reasons to do something to help the elderly people your country. Please tell me for each of the reasons I am going to read out, if they apply to you or not. Code an answer for each reason To do something in return -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 HU: no HU: no 1 HU: yes HU: yes Hungary: Question not comparable to Master Questionnaire (2 instead of 5 answer categories). Response categories documented according to dataset. In Field Questionnaire response categories are: 1. yes 2. no help immigrants: is moral duty (Q83A) INTERVIEWER: ONLY those who have absolutely yes or yes on 81d! Show card 83 There can be several reasons to do something to help immigrants in your country. Please tell me for each of the reasons I am going to read out, if they apply to you or not? Code an answer for each reason Because you feel you have a moral duty to help -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 very much very much 2 much much 3 to a certain extent to a certain extent 4 not so much not so much 5 not at all not at all Ireland, Northern Ireland, Sweden, and Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Hungary: Data not available. Malta: See v286_MT help immigrants: sympathize with them (Q83B) Because you sympathize with them other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Ireland, Northern Ireland, Sweden, and Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Hungary: Data not available. Malta: See v287_MT help immigrants: is in interest of society (Q83C) Because it is in the interest of society other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Ireland, Northern Ireland, Sweden, and Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Hungary: Data not available. Malta: See v288_MT help immigrants: is in own interest (Q83D) Because it is in your own interest other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Ireland, Northern Ireland, Sweden, and Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Hungary: Data not available. Malta: See v289_MT help immigrants: do something in return (Q83E) To do something in return other missing question not asked not applicable no answer don't know very much much to a certain extent not so much not at all Ireland, Northern Ireland, Sweden, and Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Hungary: See v290_HU Malta: See v290_MT At this place the opportunity is given to include country specific-variables (Wording in questionnaire: Include country-specific variables here) help immigrants: is moral duty (Q83A_MT) (2 answer categories) INTERVIEWER: ONLY those who have absolutely yes or yes on 81d! Show card 83 There can be several reasons to do something to help immigrants in your country. Please tell me for each of the reasons I am going to read out, if they apply to you or not? Code an answer for each reason Because you feel you have a moral duty to help -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 MT: no MT: no 1 MT: yes MT: yes Malta: Question not comparable to Master Questionnaire (2 instead of 5 answer categories). Response categories documented according to dataset. In Field Questionnaire response categories are: 1. yes 2. no help immigrants: sympathize with them (Q83B_MT) (2 answer categories) Because you sympathize with them other missing question not asked not applicable no answer don't know MT: no MT: yes Malta: Question not comparable to Master Questionnaire (2 instead of 5 answer categories). Response categories documented according to dataset. In Field Questionnaire response categories are: 1. yes 2. no help immigrants: is in interest of society (Q83C_MT) (2 answer categories) Because it is in the interest of society other missing question not asked not applicable no answer don't know MT: no MT: yes Malta: Question not comparable to Master Questionnaire (2 instead of 5 answer categories). Response categories documented according to dataset. In Field Questionnaire response categories are: 1. yes 2. no help immigrants: is in own interest (Q83D_MT) (2 answer categories) Because it is in your own interest other missing question not asked not applicable no answer don't know MT: no MT: yes Malta: Question not comparable to Master Questionnaire (2 instead of 5 answer categories). Response categories documented according to dataset. In Field Questionnaire response categories are: 1. yes 2. no help immigrants: do something in return (Q83E_MT) (2 answer categories) To do something in return other missing question not asked not applicable no answer don't know MT: no MT: yes Malta: Question not comparable to Master Questionnaire (2 instead of 5 answer categories). Response categories documented according to dataset. In Field Questionnaire response categories are: 1. yes 2. no help immigrants: do something in return (Q83E_HU) (2 answer categories) INTERVIEWER: ONLY those who have absolutely yes or yes on 81d! Show card 83 There can be several reasons to do something to help immigrants in your country. Please tell me for each of the reasons I am going to read out, if they apply to you or not? Code an answer for each reason To do something in return -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 HU: no HU: no 1 HU: yes HU: yes Hungary: Question not comparable to Master Questionnaire (2 instead of 5 answer categories). Response categories documented according to dataset. In Field Questionnaire response categories are: 1. yes 2. no sex respondent (Q84) Ask all Demographics Sex of respondent -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 male male 2 female female Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v214), WVS 2000 (v223). year of birth respondent (Q85) Can you tell me your year of birth, please 19.. -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v215), WVS 2000 (v224). age: respondent (constructed) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know Trend question: EVS 2008 and EVS 1999. Age respondent (constructed) Source variable: v292 [Can you tell me your year of birth, please 19..] age (recoded) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 15-24 15-24 2 25-34 25-34 3 35-44 35-44 4 45-54 45-54 5 55-64 55-64 6 65 and more years 65 and more years Trend question: EVS 2008 and EVS 1999. Age - recoded (6 intervals) Source variable: age age (recoded into 3 intervals) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 15-29 years 15-29 years 2 30-49 years 30-49 years 3 50 and more years 50 and more years Trend question: EVS 2008 and EVS 1999. Age - recoded (3 intervals) Source variable: age having steady relationship (Q86) Whether you are married or not: Do you live in a stable relationship with a partner? if "no" - go to 88 -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Iceland: In the Icelandic questionnaire v293, v294 and v296 were grouped into one question as follows: 'Are you now: 1 - Married, 2 - Living with a partner (but not married), 3 - Divorced, 4 - Separated, 5 - Widowed, 6 - Single (never been married)'. V293 and v294 were reconstructed from original v296, v297. Ireland and Northern Ireland: In the Irish and Northern Irish field questionnaire v293, v294 and v295 were not included. V296 was modified to give most of the information asked for in the Master Questionnaire and a country-specific question was added to establish whether married couples had lived with their spouses prior to marriage. V293 and v294 were reconstructed from original v296, v297. Information for v295 could not be reconstituted. Turkey: In the Turkish questionnaire v293, v294 and v295 were not included to avoid possible offences. V296 was modified to give most of the information asked for in the Master Questionnaire. V293 and v294 were reconstructed from original v296, v297. V295 could not be reconstructed. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). are you legally married to partner (Q87) Are you legally married to this partner? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Croatia: Additional filter on both answer categories: respondents with v294=1 were not asked v295 to v297; respondents with v294=2 were not asked v295 and v296. Many interviewers ignored this filter instruction. Finland, Great Britain, Luxembourg, Netherlands, Portugal and Slovakia: Additional filter on both answer categories: respondents with v294=1 are filtered to v297; respondents with v294=2 to v296. Greece and Italy: Additional filter on both answer categories in the field questionnaire (v294=1 go to v297; v294=2 go to v296). Most of the interviewers obviously ignored this filter instruction. Hungary: Additional filter on both answer categories in the field questionnaire (v294=1 go to v297; v294=2 go to v296). Empirically only filter on v294=2 has been applied. All respondents with v294=1 have been asked v295. Iceland: In the Icelandic questionnaire v293, v294 and v296 were grouped into one question as follows: 'Are you now: 1 - Married, 2 - Living with a partner (but not married), 3 - Divorced, 4 - Separated, 5 - Widowed, 6 - Single (never been married)'. V293 and v294 were reconstructed from original v296, v297. Ireland and Northern Ireland: In the Irish and Northern Irish field questionnaire v293, v294 and v295 were not included. V296 was modified to give most of the information asked for in the Master Questionnaire and a country-specific question was added to establish whether married couples had lived with their spouses prior to marriage. V293 and v294 were reconstructed from original v296, v297. Information for v295 could not be reconstituted. Romania: Empirically an additional filter on both categories has been used, although skip instructions are not included in the field questionnaire. Most of the respondents with valid answer on v294 have not been asked v295. Turkey: In the Turkish questionnaire v293, v294 and v295 were not included to avoid possible offences. V296 was modified to give most of the information asked for in the Master Questionnaire. V293 and v294 were reconstructed from original v296, v297. V295 could not be reconstructed. did you live with a partner before (Q88) Did you ever live in a stable relationship before, i.e. without being married? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Croatia: According to the additional filter on v294 respondents living in a steady relationship (v293,1) should not have been asked v295. Many interviewers ignored this filter structure. Data as far as possible adapted to Master Questionnaire. Finland, Great Britain, Luxembourg, Netherlands, Portugal, and Slovakia: Due to the additional filter on v294 none of the respondents with a valid code on v294 has been asked v295. Greece and Italy: By following the additional filter from v294 of the country's questionnaire none of the respondents with a valid code on v294 should have been asked v295; but: empirically the vast majority of interviewers obviously ignored the additional filter. Hungary: According to the additional filter on v294 none of the respondents with v294=2 has been asked v295. Filter on v294=1 has been obviously ignored: all respondents with v294=1 have valid answers on v295. Ireland and Turkey: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Latvia: Though no additional filter has been implemented in the Latvian field questionnaire, empirically no respondent with v293=1 (having a steady relationship) and v294=1 (legally married) has been asked v295. Northern Ireland: In the Northern Irish field questionnaire v293, v294 and v295 were not included. V296 was modified to give most of the information asked for in the Master Questionnaire and a country-specific question was added to establish whether married couples had lived with their spouses prior to marriage. V293 and v294 were reconstructed from original v296, v297. Information for v295 could not be reconstituted, thus computed and coded as -4 'question not asked'. Romania: Most of the respondents with a valid code on v294 have not been asked v295. Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). current legal marital status respondent (Q89) What is your current legal marital status? if "divorced" or "never married"- go to Q.91 -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 married married 2 widowed widowed 3 divorced divorced 4 separated separated 5 never married never married 6 cohabiting cohabiting 7 single single Croatia: According to the additional filter on v294 none of the respondents with v293=1 and v294=1,2 should have been asked v296. Empirically, many interviewers ignored this filter structure. Data as far as possible adapted to Master Questionnaire by taking into account the information from v294 and v297. In two cases information on v294 and v296 contradicts each other: v294=married and v296= widowed. Finland: Due to the additional filter on v294 none of the respondents with v293=1 and v294=1 has been asked v296; additional answer category: 'living with a partner' (treated as disjunct from other categories: only one answer was possible). Therefore v296 has been adapted as far as possible to Master Questionnaire by taking into account the information from v293, v294, and v297. Great Britain, Luxembourg, Netherlands, Portugal, and Slovak Republic: Due to the additional filter on v294 none of the respondents with v293=1 and v294=1 has been asked v296; hence, for these respondents the legal marital status has been inferred from v294. Greece and Italy: Due to the additional filter on v294 none of the respondents with v293=1 and v294=1 should have been asked v296; hence, for these respondents the legal marital status has been inferred from v294. In 12 cases (Greece) and 4 cases (Italy) information on v294 and v296 contradicts each other: v294=married and v296= widowed. Hungary: According to the additional filter on v294 none of the respondents with v294=1 should have been asked v296. Filter has been obviously ignored: all respondents with v294=1 have valid cases on v296. Iceland: Different filter structure and additional answer category 'living with a partner (but not married)'. Since this category is not disjunct from other answer categories, respondents were as far as possible recoded to Master Questionnaire's categories by taking into account the information from v297 (respondents who were 'living with a partner' and 'divorced' according to v297, were recoded into 'divorced' in v296). Ireland and Northern Ireland: Since v293, v294 and v295 were not included in the Irish and Northern Irish questionnaire, v296 was modified to give most of the information asked for in the Master Questionnaire by adding the answer category 'Living as married'. Since this category is not disjunctive from other answer categories, respondents were as far as possible recoded to Master Questionnaire categories by taking into account the information from v297 (respondents who were 'living as married' and 'divorced' according to v297, were recoded into 'divorced' in v296). Romania: Deviating filter instruction: only 'divorced' respondents (v296=3), but not 'never married' (v296=5) should skip v297. Empirically the filter is conform with Master Questionnaire. In 9 cases information on v294 and v296 contradicts each other: v294=married and v296= widowed. Sweden: Partly different answer categories (additionally included: cohabiting/ stable relation, but not living together/ living alone, no stable relation; dropped: separated/never married; categories treated as disjunct from each other: only one answer was possible), adapted as far as possible to the Master Questionnaire by taking into account the information from v293/v294/v297; remaining additional answer categories: cohabiting and single; category 'never married' could not be reconstructed. Turkey: Partly different answer categories: 'never married' replaced by 'single'; additionally included: 'not married but living together'. Since these categories are not disjunctive from other answer categories, respondents were as far as possible recoded to Master Questionnaire categories by taking into account the information from v297 (respondents who were 'single' or 'living with a partner' and 'divorced' according to v297, were recoded into 'divorced' in v296). No filter used. Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories, interviewer instruction). Comparable questions: WVS 1995 (v89), WVS 2000 (v106). (Differences: question text and response categories). Response categories 6 and 7 were not included in Master Questionaire but in several national data sets: 6 "cohabiting" included in FI, IS, IE, GB-NIR, SE, and TR; 7 'single' included in SE and TR. Thus, for the integrated data set these additional response categories were adopted. have you ever been divorced (Q90) Have you ever been divorced? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Croatia: According to the additional filter on v294 none of the respondents with v294=1 should have been asked v297. According to the filter structure on v296 none of the respondents with codes 3 or 5 on v296 should have been asked v297. Empirically, many interviewers ignored these filter structures. Data as far as possible adapted to Master Questionnaire. Denmark: Question was not included in the Danish field questionnaire. V297 has been reconstructed from v296 and the country-specific question 'How many times have you been married?' which was posed instead of Q90. Iceland: Due to different filter structure in v296, none of the respondents with v296=2 (widowed) or v296=4 (separated) has been asked v297. Romania: According to deviating filter instruction, respondents who have never been married (v296=5) should have been asked v297. Empirically data is conform with Master Questionnaire: none of the respondents with v296=3,5 have been asked v297. Turkey: Due to missing filter instruction on v296 all respondents answered v297. In order to adapt v297 as far as possible to the Master Questionnaire, respondents with v296=3 (divorced) were recoded into -3 on v297. how many children have you yourself ever had (Q91) How many children, including deceased children, have you yourself ever had? .... write in -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know Croatia: v298: 8 answer categories ranging from 0 to 7 offered to respondents: code 7 means 'more than 6 children' (empty category). France, Hungary, Luxembourg, and Poland: v298: 8 answer categories ranging from 0 to 7 offered to respondents: code 7 means 'more than 6 children'. Malta: v298: 8 answer categories ranging from 1 to 8 offered to respondents: original 8 means 'more than 6 children'; question adapted to Master Questionnaire (range: 0 to 7). number of people in household aged 18+ (Q92A) How many people, including yourself, are currently living in your household? Aged 18 and over -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know Greece: See v299_GR Inconsistencies between v299 (persons, including yourself, aged over 18 living in household=1) and v305 (do you live with your parents=1 'yes'). Affected cases: n=128. number of people in household aged 13-17 (Q92B) Aged between 13 and 17 other missing question not asked not applicable no answer don't know number of people in household aged 5-12 (Q92C) Aged between 5 and 12 other missing question not asked not applicable no answer don't know number of people in household under age of 5 (Q92D) Under 5 other missing question not asked not applicable no answer don't know number of people in household aged 18+ (Q92A_GR) How many people, including yourself, are currently living in your household? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know Greece: Question not comparable to Master Questionnaire (in Master Questionnaire: 'How many children live in the same house with you?'). ideal size of a family (Q257_SE) What do you think is the ideal size of a family - how many children, if any? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 SE: none SE: none 1 SE: 1 child SE: 1 child 2 SE: 2 children SE: 2 children 3 SE: 3 children SE: 3 children 4 SE: 4 children SE: 4 children 5 SE: 5 children SE: 5 children 6 SE: 6 children SE: 6 children 7 SE: 7 children SE: 7 children 8 SE: 8 or more children SE: 8 or more children Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. age completed education respondent (Q93) At what age did you (or will you) complete your full time education, either at school or at an institution of higher education? Please exclude apprenticeships. If respondent is still at school, ask: at what age do you expect you will have completed your education? (Write in age)... -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know Great Britain: Additional filter question placed before v303 (respondents currently in education have not been asked v303); slightly different question wording: What age were you when your education finished? (education instead of full time education). Croatia, Portugal, Romania, Russia, Spain, and Turkey: National data sets include additional code -4 for respondents without full time education. For the integrated data set these have been recoded to -5 'other missing'. Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v218), WVS 2000 (v227). age completed education respondent (Q93) (recoded in intervals) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 <12 years <12 years 2 13 years 13 years 3 14 years 14 years 4 15 years 15 years 5 16 years 16 years 6 17 years 17 years 7 18 years 18 years 8 19 years 19 years 9 20 years 20 years 10 21 +years 21 +years 0 no formal education Age completed education - recoded in intervals Source variable: v303 [At what age did you (or will you) complete your full time education, either at school or at an institution of higher education? Please exclude apprenticeships.] highest educational level attained respondent (8 categories) (Q94) What is the highest level you have reached in your education? To be measured as detailed as possible on national level and to be transformed into this variable -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 inadequate education inadequately completed elementary education 2 compl compulsory education completed (compulsory) elementary education 3 (compl) elementary educ+basic voc qualification (compulsory) elementary education and basic vocational qualification 4 2nd, interm vocational qualification secondary, intermediate vocational qualification 5 2nd, interm general qualification secondary, intermediate general qualification 6 full 2nd maturity level certificate full secondary, maturity level certificate 7 higher educ- lower-level 3d certificate higher education - lower-level tertiary certificate 8 higher educ- upper-level 3d certificate higher education - upper-level tertiary certificate Belgium: Different question format: 12 categories instead of 8. Adapted to Master Questionnaire's educational levels by country. Denmark: Different question structure: three questions on educational level (school/vocational education) have been used instead of one. Adapted to Master Questionnaire's educational levels by country. Estonia: Different question format: 7 categories instead of 8. Adapted to Master Questionnaire's educational levels by country. Germany: Different question format: 10 categories instead of 8. Adapted to Master Questionnaire's educational levels by country. Great Britain: Different question format: 12 categories instead of 8. Adapted to Master Questionnaire's educational levels by country. Romania: Different question format: 13 categories instead of 8. Adapted to Master Questionnaire's educational levels by country. Slovenia: Different question format: 7 categories instead of 8. Adapted to Master Questionnaire's educational levels by country. Spain: Different question format: 15 categories instead of 8. Adapted to Master Questionnaire's educational levels by country. Turkey: Different question format: 11 categories instead of 8. Adapted to Master Questionnaire's educational levels by country. Ukraine: Different question format: 10 categories instead of 8. Adapted to Master Questionnaire's educational levels by country. Trend question: EVS 2008 and EVS 1999. education level respondent (Q94) (recoded) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 lower lower 2 middle middle 3 upper upper Trend question: EVS 2008 and EVS 1999. Education level - recoded (3 categories) Source variable: v304 [What is the highest level you have reached in your education?] had formal education (Q259_SE) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 SE: no SE: no 1 SE: yes SE: yes Sweden: Variable provided by the World Value Survey. Formal education - Constructed variable (WVS). Source variable : v305_se [What is the highest level you have completed in your education?] educational level respondent (SE) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 75200000 SE: No formal education/No schooling SE: No formal education/No schooling 75203002 SE: Primary complete SE: Primary complete 75203003 SE: Folkhog SE: Folkhog 75203004 SE: Secondary practical SE: Secondary practical 75203005 SE: Secondary theoretical SE: Secondary theoretical 75203006 SE: University, without degree SE: University, without degree 75203007 SE: University with degree SE: University with degree 75204002 SE: compl compulsory education SE: compl compulsory education 75204003 SE: (compl) elementary education+basic work qualification SE: (compl) elementary education+basic work qualification 75204004 SE: 2nd, interm vocational qualification SE: 2nd, interm vocational qualification 75204005 SE: 2nd, interm general qualification SE: 2nd, interm general qualification 75204006 SE: full 2nd maturity level certificate SE: full 2nd maturity level certificate 75204007 SE: higher educ- lower-level 3d certificate SE: higher educ- lower-level 3d certificate 75204008 SE: higher educ- upper-level 3d certificate SE: higher educ- upper-level 3d certificate Standardized country-specific variable containing country ISO 3166-1 identifier (CCC) and country-specific educational categories. Variable provided by World Value Survey. Documentation corresponds to variable as used in World Value Survey. Educational level of the respondent (WVS) Source variable: v304 [What is the highest level you have completed in your education?] do you live with your parents (Q95) Do you live with your parents? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Northern Ireland: although no additional filter in the Northern Irish questionnaire, additional answer category nap; additional missing code recoded into -2. Inconsistencies between v299 (persons, including yourself, aged over 18 living in household=1) and v305 (do you live with your parents=1 'yes'). Affected cases: n=128. employment status (Q96) Are you yourself employed now or not? If yes: About how many hours a week? If more than one job: only for the main job if "self-employed" - go to Q.100; if "retired/pensioned" - go to Q.101; if "housewife not otherwise employed" , "student" or "other" - go to Q.105; if "unemployed" - go to Q.104 -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 30h a week or more has paid employment: 30h a week or more 2 less then 30h a week has paid employment: less than 30h a week 3 self employed has paid employment: self employed 4 retired/pensioned if no paid employment: retired/pensioned 5 housewife if no paid employment: housewife not otherwise employed 6 student if no paid employment: student 7 unemployed if no paid employment: unemployed 8 other if no paid employment: other (please specify)... Austria: Answer category 4 (retired/pensioned) originally split into 2 subcategories: retired/pensioned and widowed women getting deceased husbands pension. In the data file both categories are already combined again. Different filter structure: housewives, unemployed and others are filtered to v311 (Q.101) instead of v315 (Q.105) and v314 (Q.104) respectively. Widowed women coded as 'retired/pensioned' were filtered to v315 instead of v311. Belgium and Poland: Different filter structure: housewives and unemployed are filtered to v311 (Q.101) instead of v315 (Q.105) and v314 (Q.104) respectively. France: Different filter structure: unemployed are filtered to v311 (Q.101) instead of v314 (Q.104). Hungary: Different filter structure: housewives, students, unemployed and others have also been asked v311 and v312. Ireland and Northern Ireland: Slightly different answer categories, question and filter structure: self-employed and retired are filtered to v307 instead of v310 and v311 respectively. For reasons of comparability data has been adapted as far as possible to Master Questionnaire. Malta: Different filter structure: self-employed and unemployed are filtered to v307 instead of v310 and v314 respectively. Due to different order of the questions unemployed have been further asked v312. For reasons of comparability data has been adapted as far as possible to Master Questionnaire. Portugal: Different filter structure: unemployed are filtered to v311 (Q.101) instead of v314 (Q.104). Slovakia: Different filter structure: unemployed are filtered to v311 (Q.101) instead of v314 (Q.104). Empirically unemployed respondents have not valid codes on v311 and v312. Sweden: Different question and filter structure: retired/pensioned are filtered to v315 instead of v312. Variables v307 to v311 and v314 have not been implemented in the Swedish field questionnaire. Trend question: EVS 2008 and EVS 1999. (Modified trend: question wording, response categories, interviewer instruction). Comparable questions: WVS 1995 (v220), WVS 2000 (v229). (Differences: response categories). do you supervise someone (Q97) In your present job, do you supervise anyone who is directly responsible to you? if "no" - go to Q.101 -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Denmark: Due to different question structure (v314 placed between v306 and v307), unemployed respondents (v306=7) have also been asked v307. Therefore slightly different question wording ('Do you or did you supervise anyone?). For reasons of comparability and conform to the Master Questionnaire these cases have been recoded into -3 'nap'. Different filter structure: respondents that do not supervise anyone (v307=2) are filtered to v309 (Q.99) instead of v311 (Q.101). Germany, Poland, and Portugal: Different filter structure: respondents that do not supervise anyone (v307=2) are filtered to v309 (Q.99) instead of v311 (Q.101). Hungary: Hungarian field questionnaire's version available in the Data Archive does not include any question to this variable. However, valid data was delivered by the country. Ireland and Northern Ireland: Slightly different question wording ('Do you or did you supervise anyone?') due to filter on v306. Different filter structure: respondents that do not supervise anyone (v307=2) are filtered to v309 (Q.99) instead of v311 (Q.101). According to filter on v306 and question structure for v314, respondents with v306=3,4,7 have also been asked v307. For reasons of comparability and conform to the Master Questionnaire these cases have been recoded into -3 'nap'. Malta: According to filter on v306 respondents with v306=3,7,8 have also been asked v307. For reasons of comparability and conform to the Master Questionnaire these cases have been recoded into -3 'nap'. Romania: Filter for v307=2 has not been implemented in the field questionnaire. Empirically only one respondent with v307=2 has a valid code on v308. Slovenia: Filter for v307=2 has not been implemented in the Slovenian field questionnaire. Empirically none of the respondents with v307=2 have been asked v308. Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Turkey: Different filter structure: respondents that do not supervise anyone (v307=2) are filtered to v309 (Q.99) instead of v311 (Q.101). Trend question: EVS 2008 and EVS 1999. (Modified trend: question wording, response categories, interviewer instruction). number of supervised people (Q98) How many people do you supervise? ...... (write in number) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Trend question: EVS 2008 and EVS 1999. (Modified trend: question wording, response categories). number of supervised people (6 categories) (Q98) (recoded) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 1 1 2 2-9 2-9 3 10-24 10-24 4 25-49 25-49 5 50-99 50-99 6 100 and more 100 and more Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Number of supervised people - recoded (6 categories) Source variable: v308 [How many people do you supervise? ...... ] how many others work for organisation (Q99) How many other people usually work for the organization? ........ (write in number) go to Q.101 -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know Austria: Correct filter for v307 obviously ignored by the interviewers: most of the respondents with v307=2 have also valid answers on v309. Denmark, Germany, Ireland, Northern Ireland, Poland, Portugal, and Turkey: Due to different filter on v307 respondents with v307=2 have also valid answers on v309. Finland: Correct filter for v307 obviously ignored by the interviewers: most of the respondents with v307=2 have also valid answers on v309. Hungary and Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Lithuania: Filter instructions on v306 and v307=2 have been obviously ignored by the interviewers: Self-employed respondents (v306=3) have also been asked v309; for reasons of comparability these cases (n=22) have been recoded according to Master Questionnaire to -3 ‘nap’. Most of the respondents with v307=2 have also valid values for v309; these cases have not been recoded. Malta: According to filter on v306 and v307 respondents with v306=3,7,8 and v307=1 have also been asked v309. For reasons of comparability and conform to the Master Questionnaire these cases have been recoded into -3 'nap'. Romania and Slovenia: Due to missing filter on v307 respondents with v307=2 have also valid answers on v309. how many others work for organisation (Q99) (recoded) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 1 1 2 2-9 2-9 3 10-24 10-24 4 25-49 25-49 5 50-99 50-99 6 100-249 100-249 7 250-499 250-499 8 500-999 500-999 9 1000-2499 1000-2499 10 2500 and more 2500 and more Hungary and Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Number of others working in organization - recoded (10 categories) Source variable: v309 [How many other people usually work for the organization? ...... ] how many employees do you have (Q100) How many employees do you have? ...... (write in number) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know Hungary: Hungarian field questionnaire's version available in the Data Archive does not include any question to this variable. However, valid data was delivered by the country. Ireland and Northern Ireland: Question not included in the Irish and Northern Irish field questionnaire. Variable reconstructed on basis of v306, v307, and v309. Lithuania: Though self-employed (v306=3) are correctly filtered to v310 in the field questionnaire, empirically none of them have valid data on v310. Cases have been recoded to -4 ‘not asked’. Therefore no valid data is available for this variable. Luxembourg: Correct filter for v306=3; but: empirically none of the respondents with v306=3 has been asked v310. Therefore data not available. Malta: According to filter on v306 self-employed have been first asked v307 (do you supervise someone). According to filter on v307 self-employed respondents that do not supervise anyone (v307=2) skipped v310. For reasons of comparability v310 has been reconstructed on the basis of v307, v308, and v309 according to the Master Questionnaire. Spain: According to filter on v306 only self-employed (v306=3) have been asked v310. Empirically 4 respondents with v306=1 (paid employment) have valid answers on v310. Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Turkey: Turkish field questionnaire's version available in the Data Archive does not include any question to this variable. However, valid data was delivered by the country. how many employees do you have (6 categories) (Q100) (recoded) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 0 none none 1 1 1 2 2-9 2-9 3 10-24 10-24 4 25-49 25-49 5 50-99 50-99 6 100 and more 100 and more Lithuania, Luxembourg: Correct filter for v306=3; but: empirically none of the respondents with v306=3 has been asked v310. Therefore data not available. Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Number of employees - recoded (6 categories) Source variable: v310 [How many employees do you have?...... ] how many employees do you have (4 categories) (Q100) (recoded) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 none none 2 1-9 1-9 3 10-24 10-24 4 25 or more 25 or more Lithuania, Luxembourg: Correct filter for v306=3; but: empirically none of the respondents with v306=3 has been asked v310. Therefore data not available. Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Number of employees - recoded (4 categories) Source variable: v310 [How many employees do you have?...... ] kind of job respondent - ISCO88 code (Q101) In which profession/industry do you or did you work? ....... If more than one job: the main job Write in Code according to ISCO88 -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 110 member of armed forces member of armed forces 1000 legislators, senior officials & managers legislators, senior officials & managers 1100 legislators & senior officials legislators & senior officials 1110 legislators legislators 1111 legislators legislators 1112 ministers ministers 1120 senior government officials senior government officials 1121 senior government officials nsf senior government officials nsf 1122 nomenklatura senior government officials nomenklatura senior government officials 1123 non-nomenklatura senior government officials non-nomenklatura senior government officials 1124 nomenklatura local government officials nomenklatura local government officials 1125 non-nomenklatura local government officials non-nomenklatura local government officials 1130 traditional chiefs & heads of villages traditional chiefs & heads of villages 1140 senior officials special-interest organisations senior officials special-interest organisations 1141 senior officials political-party organisations senior officials political-party organisations 1142 senior officials economic-interest organisations senior officials economic-interest organisations 1143 senior officials special-interest organisations senior officials special-interest organisations 1150 communist party officials communist party officials 1151 cp central committee members cp central committee members 1152 cp central committee apparatus - nomenklatura cp central committee apparatus - nomenklatura 1153 cp central committee apparatus - non-nomenklatura cp central committee apparatus - non-nomenklatura 1154 local party officials - nomenklatura local party officials - nomenklatura 1155 local party officials - non-nomenklatura local party officials - non-nomenklatura 1156 party officials in econ.enterpr. - nomenklatura party officials in econ.enterpr. - nomenklatura 1157 party officials in econ.enterpr. - non-nomenklatura party officials in econ.enterpr. - non-nomenklatura 1158 party officials in party enterpr. - nomenklatura party officials in party enterpr. - nomenklatura 1159 party officials in party enterpr. - non-nomenklatura party officials in party enterpr. - non-nomenklatura 1160 administrators of mass organizations administrators of mass organizations 1161 trade union officials - nomenklatura trade union officials - nomenklatura 1162 trade union officials - non-nomenklatura trade union officials - non-nomenklatura 1163 youth organization officials - nomenklatura youth organization officials - nomenklatura 1164 youth organization officials - non-nomenklatura youth organization officials - non-nomenklatura 1165 administrators of othr cp mass org. - nomenklatura administrators of othr cp mass org. - nomenklatura 1166 administrators of othr cp mass org. - non-nom. administrators of othr cp mass org. - non-nom. 1200 corporate managers [large enterprise] corporate managers [large enterprise] 1210 directors & chief executives [large enterprise] directors & chief executives [large enterprise] 1211 directors & chief executives directors & chief executives 1212 deputy directors, chief engineers and accountants deputy directors, chief engineers and accountants 1220 department managers - large departments department managers - large departments 1221 department managers in agriculture department managers in agriculture 1222 department managers manufacturing department managers manufacturing 1223 department managers construction department managers construction 1224 department managers wholesale & retail trade department managers wholesale & retail trade 1225 department managers restaurants & hotels department managers restaurants & hotels 1226 department managers transport, storage & communications department managers transport, storage & communications 1227 department managers business services department managers business services 1228 department managers personal care, cleaning etc department managers personal care, cleaning etc 1229 operations department managers nec operations department managers nec 1230 other department managers [large enterprise] other department managers [large enterprise] 1231 finance & administration department managers finance & administration department managers 1232 personnel & industrial relations department managers personnel & industrial relations department managers 1233 sales & marketing department managers sales & marketing department managers 1234 advertising & public relations department managers advertising & public relations department managers 1235 supply & distribution department managers supply & distribution department managers 1236 computing services department managers computing services department managers 1237 research & development department managers research & development department managers 1239 other department managers nec other department managers nec 1240 [office manager] [office manager] 1250 [military officers] [military officers] 1251 [high military officers] [high military officers] 1252 [lower military officers] [lower military officers] 1300 general managers [small enterprise] general managers [small enterprise] 1310 general managers [small enterprise] general managers [small enterprise] 1311 general managers agriculture, hunting forestry & fishing general managers agriculture, hunting forestry & fishing 1312 general managers manufacturing general managers manufacturing 1313 general managers construction general managers construction 1314 general managers wholesale & retail trade general managers wholesale & retail trade 1315 general managers restaurants & hotels general managers restaurants & hotels 1316 general managers transport, storage & communications general managers transport, storage & communications 1317 general managers business services general managers business services 1318 general managers personal care, cleaning etc services general managers personal care, cleaning etc services 1319 general managers nec general managers nec 1320 businessman/trader/entrepreneur nsf businessman/trader/entrepreneur nsf 2000 professionals professionals 2010 scientific, cultural and media nomenklatura scientific, cultural and media nomenklatura 2011 media nomenklatura media nomenklatura 2012 scientific and cultural nomenklatura scientific and cultural nomenklatura 2100 physical, mathematical & engineering science professionals physical, mathematical & engineering science professionals 2110 physicists, chemists & related professionals physicists, chemists & related professionals 2111 physicists & astronomers physicists & astronomers 2112 meteorologists meteorologists 2113 chemists chemists 2114 geologists & geophysicists geologists & geophysicists 2120 mathematicians, statisticians etc professionals mathematicians, statisticians etc professionals 2121 mathematicians etc professionals mathematicians etc professionals 2122 statisticians statisticians 2130 computing professionals computing professionals 2131 computer systems designers & analysts computer systems designers & analysts 2132 computer programmers computer programmers 2139 computing professionals nec computing professionals nec 2140 architects, engineers etc professionals architects, engineers etc professionals 2141 architects town & traffic planners architects town & traffic planners 2142 civil engineers civil engineers 2143 electrical engineers electrical engineers 2144 electronics & telecommunications engineers electronics & telecommunications engineers 2145 mechanical engineers mechanical engineers 2146 chemical engineers chemical engineers 2147 mining engineers metallurgists etc professionals mining engineers metallurgists etc professionals 2148 cartographers & surveyors cartographers & surveyors 2149 architects engineers etc professionals nec architects engineers etc professionals nec 2200 life science & health professionals life science & health professionals 2210 life science professionals life science professionals 2211 biologists, botanists zoologists etc professionals biologists, botanists zoologists etc professionals 2212 pharmacologists, pathologists etc professlonals pharmacologists, pathologists etc professlonals 2213 agronomists etc professionals agronomists etc professionals 2220 health professionals (except nursing) health professionals (except nursing) 2221 medical doctors medical doctors 2222 dentists dentists 2223 veterinarians veterinarians 2224 pharmacists pharmacists 2229 health professionals except nursing nec health professionals except nursing nec 2230 nursing & midwifery professionals nursing & midwifery professionals 2300 teaching professionals teaching professionals 2310 higher education teaching professionals higher education teaching professionals 2320 secondary education teaching professionals secondary education teaching professionals 2321 [second academ teacher] [second academ teacher] 2322 [second voc teacher] [second voc teacher] 2323 [middle school teacher] [middle school teacher] 2330 primary & pre-primary education teaching professionals primary & pre-primary education teaching professionals 2331 primary education teaching professionals primary education teaching professionals 2332 pre-primary education teaching professionals pre-primary education teaching professionals 2340 special education teaching professionals special education teaching professionals 2350 other teaching professionals other teaching professionals 2351 education methods specialists education methods specialists 2352 school inspectors school inspectors 2359 other teaching professionals nec other teaching professionals nec 2400 other professionals other professionals 2410 business professionals business professionals 2411 accountants accountants 2412 personnel & careers professionals personnel & careers professionals 2419 business professionals nec business professionals nec 2420 legal professionals legal professionals 2421 lawyers lawyers 2422 judges judges 2429 legal professionals nec legal professionals nec 2430 archivists, librarians etc information professionals archivists, librarians etc information professionals 2431 archivists & curators archivists & curators 2432 librarians etc information professionals librarians etc information professionals 2440 social science etc professionals social science etc professionals 2441 economists economists 2442 sociologists anthropologists etc professionals sociologists anthropologists etc professionals 2443 philosophers, historians & political scientists philosophers, historians & political scientists 2444 philologists translators & interpreters philologists translators & interpreters 2445 psychologists psychologists 2446 social work professionals social work professionals 2450 writers & creative or performing artists writers & creative or performing artists 2451 authors journalists & other writers authors journalists & other writers 2452 sculptors, painters etc artists sculptors, painters etc artists 2453 composers musicians & singers composers musicians & singers 2454 choreographers & dancers choreographers & dancers 2455 film, stage etc actors & directors film, stage etc actors & directors 2460 religious professionals religious professionals 3000 technicians and associated professionals technicians and associated professionals 3100 physical & engineering science associate professionals physical & engineering science associate professionals 3110 physical & engineering science technicians physical & engineering science technicians 3111 chemical & physical science technicians chemical & physical science technicians 3112 civil engineering technicians civil engineering technicians 3113 electrical engineering technicians electrical engineering technicians 3114 electronics & telecommunications engineering technicians electronics & telecommunications engineering technicians 3115 mechanical engineering technicians mechanical engineering technicians 3116 chemical engineering technicians chemical engineering technicians 3117 mining & metallurgical technicians mining & metallurgical technicians 3118 draughtspersons draughtspersons 3119 physical & engineering science technicians nec physical & engineering science technicians nec 3120 computer associate professionals computer associate professionals 3121 computer assistants computer assistants 3122 computer equipment operators computer equipment operators 3123 industrial robot controllers industrial robot controllers 3130 optical & electronic equipment operators optical & electronic equipment operators 3131 photographers & elctr equipment operators photographers & elctr equipment operators 3132 broadcasting & telecommunications equipment operators broadcasting & telecommunications equipment operators 3133 medical equipment operators medical equipment operators 3139 optical & electronic equipment operators nec optical & electronic equipment operators nec 3140 ship & aircraft controllers & technicians ship & aircraft controllers & technicians 3141 ships engineers ships engineers 3142 ships deck officers & pilots ships deck officers & pilots 3143 aircraft pilots etc associate professionals aircraft pilots etc associate professionals 3144 air traffic controllers air traffic controllers 3145 air traffic safety technicians air traffic safety technicians 3150 safety & ouality inspectors safety & ouality inspectors 3151 building & fire inspectors building & fire inspectors 3152 safety, health & quality inspectors safety, health & quality inspectors 3200 life science & health associate professionals life science & health associate professionals 3210 life science technicians etc associate professionals life science technicians etc associate professionals 3211 life science technicians life science technicians 3212 agronomy & forestry technicians agronomy & forestry technicians 3213 farming & forestry advisers farming & forestry advisers 3220 modern health associate professionals except nursing modern health associate professionals except nursing 3221 medical assistants medical assistants 3222 sanitarians sanitarians 3223 dieticians & nutritionists dieticians & nutritionists 3224 optometrists & opticians optometrists & opticians 3225 dental assistants dental assistants 3226 physiotherapists etc associate professionals physiotherapists etc associate professionals 3227 veterinary assistants veterinary assistants 3228 pharmaceutical assistants pharmaceutical assistants 3229 modern health associate professionals except nursing nec modern health associate professionals except nursing nec 3230 nursing & midwifery associate professionals nursing & midwifery associate professionals 3231 nursing associate professionals nursing associate professionals 3232 midwifery associate professionals midwifery associate professionals 3240 traditional medicine practitioners & faith healers traditional medicine practitioners & faith healers 3241 traditional medicine practitioners traditional medicine practitioners 3242 faith healers faith healers 3300 teaching associate professionals teaching associate professionals 3310 primary education teaching associate professionals primary education teaching associate professionals 3320 pre-primary education teaching associate professionals pre-primary education teaching associate professionals 3330 special education teaching associate professionals special education teaching associate professionals 3340 other teaching associate professionals other teaching associate professionals 3400 other associate professionals other associate professionals 3410 finance & sales associate professionals finance & sales associate professionals 3411 securities & finance dealers & brokers securities & finance dealers & brokers 3412 insurance representatives insurance representatives 3413 estate agents estate agents 3414 travel consultants & organisers travel consultants & organisers 3415 technical & commercial sales representatives technical & commercial sales representatives 3416 buyers buyers 3417 appraisers, valuers & auctioneers appraisers, valuers & auctioneers 3419 finance & sales associate professionals nec finance & sales associate professionals nec 3420 business services agents and trade brokers business services agents and trade brokers 3421 trade brokers trade brokers 3422 clearing & forwarding agents clearing & forwarding agents 3423 employment agents & labour contractors employment agents & labour contractors 3429 business services agents & trade brokers nec business services agents & trade brokers nec 3430 administrative associate professionals administrative associate professionals 3431 administrative secretaries etc associate professionals administrative secretaries etc associate professionals 3432 legal etc business associate professionals legal etc business associate professionals 3433 bookkeepers bookkeepers 3434 statistical, mathematical etc associate professionals statistical, mathematical etc associate professionals 3439 administrative associate professionals nec administrative associate professionals nec 3440 customs, tax etc government associate professionals customs, tax etc government associate professionals 3441 customs & border inspectors customs & border inspectors 3442 government tax & excise officials government tax & excise officials 3443 government social benefits officials government social benefits officials 3444 government licensing officials government licensing officials 3449 customs tax etc government associate professionals nec customs tax etc government associate professionals nec 3450 [police and army officers] [police and army officers] 3451 [police inspectors-detectives] [police inspectors-detectives] 3452 [armed forces non-commissioned officers + army nfs] [armed forces non-commissioned officers + army nfs] 3460 social work associate professionals social work associate professionals 3470 artistic, entertainment & sports associate professionals artistic, entertainment & sports associate professionals 3471 decorators & commercial designers decorators & commercial designers 3472 radio, television & other announcers radio, television & other announcers 3473 street night-club etc musicians singers & dancers street night-club etc musicians singers & dancers 3474 clowns magicians acrobats etc associate professionals clowns magicians acrobats etc associate professionals 3475 athletes sportspersons etc associate professionals athletes sportspersons etc associate professionals 3480 religious associate professionals religious associate professionals 4000 clerks clerks 4100 office clerks office clerks 4110 secretaries & keyboard-operating clerks secretaries & keyboard-operating clerks 4111 stenographers & typists stenographers & typists 4112 word-processor etc operators word-processor etc operators 4113 data entry operators data entry operators 4114 calculating-machine operators calculating-machine operators 4115 secretaries secretaries 4120 numerical clerks numerical clerks 4121 accounting & bookkeeping clerks accounting & bookkeeping clerks 4122 statistical & finance clerks statistical & finance clerks 4130 material-recording & transport clerks material-recording & transport clerks 4131 stock clerks stock clerks 4132 production clerks production clerks 4133 transport clerks transport clerks 4140 library, mail etc clerks library, mail etc clerks 4141 library & filing clerks library & filing clerks 4142 mail carriers & sorting clerks mail carriers & sorting clerks 4143 coding proof-reading etc clerks coding proof-reading etc clerks 4144 scribes etc workers scribes etc workers 4190 other office clerks other office clerks 4200 customer services clerks customer services clerks 4210 cashiers, tellers etc clerks cashiers, tellers etc clerks 4211 cashiers & ticket clerks cashiers & ticket clerks 4212 tellers & other counter clerks tellers & other counter clerks 4213 bookmakers & croupiers bookmakers & croupiers 4214 pawnbrokers & money-lenders pawnbrokers & money-lenders 4215 debt-collectors etc workers debt-collectors etc workers 4220 client information clerks client information clerks 4221 travel agency etc clerks travel agency etc clerks 4222 receptionists & information clerks receptionists & information clerks 4223 telephone switchboard operators telephone switchboard operators 5000 service workers & shop & market sales workers service workers & shop & market sales workers 5100 personal & protective services workers personal & protective services workers 5110 travel attendants etc travel attendants etc 5111 travel attendants & travel stewards travel attendants & travel stewards 5112 transport conductors transport conductors 5113 travel, museum guides travel, museum guides 5120 housekeeping & restaurant services workers housekeeping & restaurant services workers 5121 housekeepers etc workers housekeepers etc workers 5122 cooks cooks 5123 waiters waitresses & bartenders waiters waitresses & bartenders 5130 personal care etc work personal care etc work 5131 child-care workers child-care workers 5132 institution-based personal care workers institution-based personal care workers 5133 home based personal care workers home based personal care workers 5139 personal care etc workers nec personal care etc workers nec 5140 other personal services workers other personal services workers 5141 hairdressers barbers beauticians etc workers hairdressers barbers beauticians etc workers 5142 companions & valets companions & valets 5143 undertakers & embalmers undertakers & embalmers 5149 other personal services workers nec other personal services workers nec 5150 astrologers, fortune-tellers etc workers astrologers, fortune-tellers etc workers 5151 astrologers etc workers astrologers etc workers 5152 fortune-tellers, palmists etc workers fortune-tellers, palmists etc workers 5160 protective services workers protective services workers 5161 fire-fighters fire-fighters 5162 police officers police officers 5163 prison guards prison guards 5164 [army: enlisted men - soldiers] [army: enlisted men - soldiers] 5169 protective services workers nec protective services workers nec 5200 models, salespersons & demonstrators models, salespersons & demonstrators 5210 fashion & other models fashion & other models 5220 shop salespersons & demonstrators shop salespersons & demonstrators 5230 stall & market salespersons stall & market salespersons 6000 skilled agricultural & fishery workers skilled agricultural & fishery workers 6100 market-oriented skilled agricultural & fishery workers market-oriented skilled agricultural & fishery workers 6110 market gardeners & cropgrowers market gardeners & cropgrowers 6111 field crop & vegetable growers field crop & vegetable growers 6112 tree & shrub crop growers tree & shrub crop growers 6113 gardeners, horticultural & nursery growers gardeners, horticultural & nursery growers 6114 mixed-crop growers mixed-crop growers 6120 market-oriented animal producers etc workers market-oriented animal producers etc workers 6121 dairy & livestock producers dairy & livestock producers 6122 poultry producers poultry producers 6123 apiarists & sericulturists apiarists & sericulturists 6124 mixed -animal producers mixed -animal producers 6129 market-oriented animal producers etc workers nec market-oriented animal producers etc workers nec 6130 market-oriented crop & animal producers market-oriented crop & animal producers 6133 [farmer nfs] [farmer nfs] 6134 [skilled farm worker nfs] [skilled farm worker nfs] 6140 forestry etc workers forestry etc workers 6141 forestry workers & loggers forestry workers & loggers 6142 charcoal burners etc workers charcoal burners etc workers 6150 fishery workers, hunters & trappers fishery workers, hunters & trappers 6151 aquatic-life cultivation workers aquatic-life cultivation workers 6152 inland & coastal waters fishery workers inland & coastal waters fishery workers 6153 deep-sea fishery workers deep-sea fishery workers 6154 hunters & trappers hunters & trappers 6160 market-oriented skilled agricultural & fishery workers market-oriented skilled agricultural & fishery workers 6200 subsistence agricultural & fishery workers subsistence agricultural & fishery workers 6210 subsistence agricultural & fishery workers subsistence agricultural & fishery workers 7000 craft etc trades workers craft etc trades workers 7100 extraction & building trades workers extraction & building trades workers 7110 miners, shotfirers, stone cutters & carvers miners, shotfirers, stone cutters & carvers 7111 miners & quarry workers miners & quarry workers 7112 shotfirers & blasters shotfirers & blasters 7113 stone splitters cutters & carvers stone splitters cutters & carvers 7120 building frame and related trades workers building frame and related trades workers 7121 builders traditional materials builders traditional materials 7122 bricklayers & stonemasons bricklayers & stonemasons 7123 concrete placers concrete finishers etc workers concrete placers concrete finishers etc workers 7124 carpenters & joiners carpenters & joiners 7129 [builders] ar trades workers nec [builders] ar trades workers nec 7130 building finishers etc trades workers building finishers etc trades workers 7131 roofers roofers 7132 floor layers & tile setters floor layers & tile setters 7133 plasterers plasterers 7134 insulation workers insulation workers 7135 glaziers glaziers 7136 plumbers & pipe fitters plumbers & pipe fitters 7137 building etc electricians building etc electricians 7140 painters, building structure cleaners etc trades workers painters, building structure cleaners etc trades workers 7141 painters etc workers painters etc workers 7142 varnishers etc painters varnishers etc painters 7143 building structure cleaners building structure cleaners 7200 metal, machinery etc trades workers metal, machinery etc trades workers 7210 metal moulders, welders, sheetmetal workers, structural-metal preparers and related trade workers metal moulders, welders, sheetmetal workers, structural-metal preparers and related trade workers 7211 metal moulders & coremakers metal moulders & coremakers 7212 welders & flamecutters welders & flamecutters 7213 sheet-metal workers sheet-metal workers 7214 structural-metal preparers & erectors structural-metal preparers & erectors 7215 riggers & cable splicers riggers & cable splicers 7216 underwater workers underwater workers 7220 blacksmiths, tool-makers etc trades workers blacksmiths, tool-makers etc trades workers 7221 blacksmiths hammer-smiths & forgingpress workers blacksmiths hammer-smiths & forgingpress workers 7222 tool-makers etc workers tool-makers etc workers 7223 machine-tool setters & setter-operators machine-tool setters & setter-operators 7224 metal wheel-grinders polishers & tool sharpeners metal wheel-grinders polishers & tool sharpeners 7230 machinery mechanics & fitters machinery mechanics & fitters 7231 motor vehicle mechanics & fitters motor vehicle mechanics & fitters 7232 aircraft engine mechanics & fitters aircraft engine mechanics & fitters 7233 agricultural- or industrial-machinery mechanics & fitters agricultural- or industrial-machinery mechanics & fitters 7234 [unskl garage worker, oiler] [unskl garage worker, oiler] 7240 electrical & electronic equipment mechanics & fitters electrical & electronic equipment mechanics & fitters 7241 electrical mechanics & fitters electrical mechanics & fitters 7242 electronics fitters electronics fitters 7243 electronics mechanics & servicers electronics mechanics & servicers 7244 telegraph & telephone installers & servlcers telegraph & telephone installers & servlcers 7245 electrical line installers repairers & cable jointers electrical line installers repairers & cable jointers 7300 precision, handicraft, printing etc trades workers precision, handicraft, printing etc trades workers 7310 precision workers in metal etc materials precision workers in metal etc materials 7311 precision-instrument makers & repairers precision-instrument makers & repairers 7312 musical-instrument makers & tuners musical-instrument makers & tuners 7313 jewellery & precious-metal workers jewellery & precious-metal workers 7320 potters, glass-makers etc trades workers potters, glass-makers etc trades workers 7321 abrasive wheel formers potters etc workers abrasive wheel formers potters etc workers 7322 glass-makers cutters grinders & finishers glass-makers cutters grinders & finishers 7323 glass engravers & etchers glass engravers & etchers 7324 glass ceramics etc decorative painters glass ceramics etc decorative painters 7330 handicraft workers in wood,textile, leather etc handicraft workers in wood,textile, leather etc 7331 handicraft workers in wood etc materials handicraft workers in wood etc materials 7332 handicraft workers in textile leather etc materials handicraft workers in textile leather etc materials 7340 printing etc trades workers printing etc trades workers 7341 compositors typesetters etc workers compositors typesetters etc workers 7342 stereotypers & electrotypers stereotypers & electrotypers 7343 printing engravers & etchers printing engravers & etchers 7344 photographic etc workers photographic etc workers 7345 bookbinders etc workers bookbinders etc workers 7346 silk-screen, block & textile printers silk-screen, block & textile printers 7400 other craft etc trades workers other craft etc trades workers 7410 food processing etc trades workers food processing etc trades workers 7411 butchers fishmongers etc food preparers butchers fishmongers etc food preparers 7412 bakers-pastry cooks & confectionery makers bakers-pastry cooks & confectionery makers 7413 dairy-products makers dairy-products makers 7414 fruit, vegetable etc preservers fruit, vegetable etc preservers 7415 food & beverage tasters & graders food & beverage tasters & graders 7416 tobacco preparers & tobacco products makers tobacco preparers & tobacco products makers 7420 wood treaters, cabinet-makers etc trades workers wood treaters, cabinet-makers etc trades workers 7421 wood treaters wood treaters 7422 cabinet-makers etc workers cabinet-makers etc workers 7423 woodworking-machine setters & setteroperators woodworking-machine setters & setteroperators 7424 basketry weavers brush makers etc workers basketry weavers brush makers etc workers 7430 textile, garment etc trades workers textile, garment etc trades workers 7431 fibre preparers fibre preparers 7432 weavers knitters etc workers weavers knitters etc workers 7433 tailors dressmakers & hatters tailors dressmakers & hatters 7434 furriers etc workers furriers etc workers 7435 textile leather etc pattern-makers & cutters textile leather etc pattern-makers & cutters 7436 sewers embroiderers etc workers sewers embroiderers etc workers 7437 upholsterers etc workers upholsterers etc workers 7440 pelt, leather & shoemaking trades workers pelt, leather & shoemaking trades workers 7441 pelt dressers tanners & fellmongers pelt dressers tanners & fellmongers 7442 shoe-makers etc workers shoe-makers etc workers 7500 [skilled manual worker nfs] [skilled manual worker nfs] 7510 [non farm foremen nfs] [non farm foremen nfs] 7520 [skilled manual workers nfs] [skilled manual workers nfs] 7530 [apprentice skilled work nfs] [apprentice skilled work nfs] 8000 plant & machine operators & assemblers plant & machine operators & assemblers 8100 stationary-plant etc operators stationary-plant etc operators 8110 mining- & mineral-processing plant operators mining- & mineral-processing plant operators 8111 mining-plant operators mining-plant operators 8112 mineral-ore- & stone-processing-plant operators mineral-ore- & stone-processing-plant operators 8113 well drillers & borers etc workers well drillers & borers etc workers 8120 metal-processing-plant operators metal-processing-plant operators 8121 ore & metal furnace operators ore & metal furnace operators 8122 metal melters casters & rolling-mill operators metal melters casters & rolling-mill operators 8123 metal-heat-treating-plant operators metal-heat-treating-plant operators 8124 metal drawers & extruders metal drawers & extruders 8130 glass, ceramics etc plant operators glass, ceramics etc plant operators 8131 glass & ceramics kiln etc machine operators glass & ceramics kiln etc machine operators 8139 glass, ceramics etc plant operators nec glass, ceramics etc plant operators nec 8140 wood-processing- & papermaking-plant operators wood-processing- & papermaking-plant operators 8141 wood-processing-plant operators wood-processing-plant operators 8142 paper-pulp plant operators paper-pulp plant operators 8143 papermaking-plant operators papermaking-plant operators 8150 chemical-processing-plant operators chemical-processing-plant operators 8151 crushing- grinding- & chemical-mixing machinery operators crushing- grinding- & chemical-mixing machinery operators 8152 chemical-heat-treating-plant operators chemical-heat-treating-plant operators 8153 chemical-filtering- & separating-equipment operators chemical-filtering- & separating-equipment operators 8154 chemical-still & reactor operators chemical-still & reactor operators 8155 petroleum- & natural-gas-refining-plant operators petroleum- & natural-gas-refining-plant operators 8159 chemical-processing-plant operators nec chemical-processing-plant operators nec 8160 power-production etc plant operators power-production etc plant operators 8161 power-production plant operators power-production plant operators 8162 steam-engine & boiler operators steam-engine & boiler operators 8163 incinerator water-treatment etc plant operators incinerator water-treatment etc plant operators 8170 automated-assembly-line & industrial-robot operators automated-assembly-line & industrial-robot operators 8171 automated-assembly- line operators automated-assembly- line operators 8172 industrial-robot operators industrial-robot operators 8200 machine operators & assemblers machine operators & assemblers 8210 metal- & mineral-products machine operators metal- & mineral-products machine operators 8211 machine-tool operators machine-tool operators 8212 cement & other mineral products machine operators cement & other mineral products machine operators 8220 chemical-products machine operators chemical-products machine operators 8221 pharmaceutical- & toiletry-products machine operators pharmaceutical- & toiletry-products machine operators 8222 ammunition- & explosive-products machine operators ammunition- & explosive-products machine operators 8223 metal finishing- plating- & coating-machlne operators metal finishing- plating- & coating-machlne operators 8224 photographic-products machine operators photographic-products machine operators 8229 chemical-products machine operators nec chemical-products machine operators nec 8230 rubber- & plastic-products machine operators rubber- & plastic-products machine operators 8231 rubber-products machine operators rubber-products machine operators 8232 plastic-products machine operators plastic-products machine operators 8240 wood-products machine operators wood-products machine operators 8250 printing- binding- & paper-products machine operators printing- binding- & paper-products machine operators 8251 printing-machine operators printing-machine operators 8252 bookbinding-machine operators bookbinding-machine operators 8253 paper-products machine operators paper-products machine operators 8260 textile- fur- & leather-products machine operators textile- fur- & leather-products machine operators 8261 fibre-preparing-, spinning- & windingmachine operators fibre-preparing-, spinning- & windingmachine operators 8262 weaving- & knitting-machine operators weaving- & knitting-machine operators 8263 sewing-machine operators sewing-machine operators 8264 bleaching- dyeing- & cleaning-machine operators bleaching- dyeing- & cleaning-machine operators 8265 fur- & leather-preparing-machine operators fur- & leather-preparing-machine operators 8266 shoemaking- etc machine operators shoemaking- etc machine operators 8269 textile- fur- & leather-products machine operators nec textile- fur- & leather-products machine operators nec 8270 food etc products machine operators food etc products machine operators 8271 meat- & fish-processing-machine operators meat- & fish-processing-machine operators 8272 dairy-products machine operators dairy-products machine operators 8273 grain- & spice-milling-machine operators grain- & spice-milling-machine operators 8274 baked-goods cereal & chocolate-products machine operators baked-goods cereal & chocolate-products machine operators 8275 fruit- vegetable- & nut-processing-machine operators fruit- vegetable- & nut-processing-machine operators 8276 sugar production machine operators sugar production machine operators 8277 tea- coffee- & cocoa-processing-machine operators tea- coffee- & cocoa-processing-machine operators 8278 brewers- wine & other beverage machine operators brewers- wine & other beverage machine operators 8279 tobacco production machine operators tobacco production machine operators 8280 assemblers assemblers 8281 mechanical-machinery assemblers mechanical-machinery assemblers 8282 electrical-equipment assemblers electrical-equipment assemblers 8283 electronic-equipment assemblers electronic-equipment assemblers 8284 metal- rubber- & plastic-products assemblers metal- rubber- & plastic-products assemblers 8285 wood etc products assemblers wood etc products assemblers 8286 paperboard textile etc products assemblers paperboard textile etc products assemblers 8290 other machine operators & assemblers other machine operators & assemblers 8300 drivers & mobile-plant operators drivers & mobile-plant operators 8310 locomotive-engine drivers etc workers locomotive-engine drivers etc workers 8311 locomotive-engine drivers locomotive-engine drivers 8312 railway brakers signallers & shunters railway brakers signallers & shunters 8320 motor-vehicle drivers motor-vehicle drivers 8321 motor-cycle drivers motor-cycle drivers 8322 car taxi & van drivers car taxi & van drivers 8323 bus & tram drivers bus & tram drivers 8324 heavy truck & lorry drivers heavy truck & lorry drivers 8330 agricultural & other mobile-plant operators agricultural & other mobile-plant operators 8331 motorised farm & forestry plant operators motorised farm & forestry plant operators 8332 earth-moving- etc plant operators earth-moving- etc plant operators 8333 crane hoist etc plant operators crane hoist etc plant operators 8334 lifting-truck operators lifting-truck operators 8340 ships deck crews etc workers ships deck crews etc workers 8400 [semiskld worker nfs] [semiskld worker nfs] 9000 elementary occupations elementary occupations 9100 sales & services elementary occupations sales & services elementary occupations 9110 street vendors etc workers street vendors etc workers 9111 street food vendors street food vendors 9112 street vendors non-food products street vendors non-food products 9113 door-to-door & telephone salespersons door-to-door & telephone salespersons 9120 shoe cleaning and other street services elementary occupations shoe cleaning and other street services elementary occupations 9130 domestic etc helpers cleaners & launderers domestic etc helpers cleaners & launderers 9131 domestic helpers & cleaners domestic helpers & cleaners 9132 helpers & cleaners in establishments helpers & cleaners in establishments 9133 hand-launderers & pressers hand-launderers & pressers 9140 building caretakers, window etc cleaners building caretakers, window etc cleaners 9141 building caretakers building caretakers 9142 vehicle, window etc cleaners vehicle, window etc cleaners 9150 messengers, porters, doorkeepers etc workers messengers, porters, doorkeepers etc workers 9151 messengers package & luggage porters & deliverers messengers package & luggage porters & deliverers 9152 doorkeepers watchpersons etc workers doorkeepers watchpersons etc workers 9153 vending-machine money collectors meter readers etc workers vending-machine money collectors meter readers etc workers 9160 garbage collectors etc labourers garbage collectors etc labourers 9161 garbage collectors garbage collectors 9162 sweepers etc labourers sweepers etc labourers 9200 agricultural, fishery etc labourers agricultural, fishery etc labourers 9210 agricultural, fishery etc labourers agricultural, fishery etc labourers 9211 farm-hands & labourers farm-hands & labourers 9212 forestry labourers forestry labourers 9213 fishery hunting & trapping labourers fishery hunting & trapping labourers 9300 labourers in mining, construction, manuf. & transport labourers in mining, construction, manuf. & transport 9310 mining & construction labourers mining & construction labourers 9311 mining & quarrying labourers mining & quarrying labourers 9312 construction & maintenance labourers: roads dams etc construction & maintenance labourers: roads dams etc 9313 building construction labourers building construction labourers 9320 manufacturing labourers manufacturing labourers 9321 assembling labourers assembling labourers 9322 hand packers & other manufacturing labourers hand packers & other manufacturing labourers 9330 transport labourers & freight handlers transport labourers & freight handlers 9331 hand or pedal vehicle drivers hand or pedal vehicle drivers 9332 drivers of animal-drawn vehicles & machinery drivers of animal-drawn vehicles & machinery 9333 freight handlers freight handlers Austria: Due to different filter structure on v306 housewives (v306=5), unemployed (v306=7) and others (v306=8) have also valid ISCO-codes; 34 widowed women coded as 'retired/pensioned' (v306=4) have not been asked v311. Belgium: Due to different filter structure on v306 housewives (v306=5) and unemployed (v306=7) have also valid ISCO-codes. 2-digit ISCO code has been adapted to the 4-digit ISCO-88 by adding the missing zeros to the code. Data only available on the second highest profession level. Croatia: 3-digit ISCO code has been adapted to the 4-digit ISCO-88 by adding the missing zero to the code. Data only available on the third highest profession level. Czech Repulic: Despite the correct filter on v306, one unemployed (v306=7) and one 'other' respondent (v306=8) have valid ISCO codes. Denmark : Due to different question structure (v314 placed directly after v306), unemployed respondents (v306=7) have also valid ISCO-codes. Unemployed who have never had a job have not been asked v311. 2-digit ISCO code has been adapted to the 4-digit ISCO-88 by adding the missing zeros to the code. Data only available on the second highest profession level. Finland: 2-digit ISCO code has been adapted to the 4-digit ISCO-88 by adding the missing zeros to the code. Data only available on the second highest profession level. Respondents that according to filter on v306 skip v311 are coded as -2 'no answer' instead of -3 'nap'. France and Malta: Due to different filter structure on v306 unemployed (v306=7) have also valid ISCO-codes. 2-digit ISCO code has been adapted to the 4-digit ISCO-88 by adding the missing zeros to the code. Data only available on the second highest profession level. Greece: Filter on v306 has been ignored in some cases: housewives, students, unemployed and other (v306=5-8) have valid ISCO-codes (n=18). Germany: Filter on v306=8 'other' leads to v315. Empirically the filter has been ignored for 6 cases with valid ISCO codes. Hungary: Due to different filter structure on v306 housewives, students, unemployed and others (v306=3-8) have also valid ISCO-codes. Ireland, Northern Ireland, and Portugal: Due to different question and filter structure on v306 unemployed (v306=7) have also valid ISCO-codes. Latvia and Spain: 2-digit ISCO code have been adapted to the 4-digit ISCO-88 by adding the missing zeros to the code. Data only available on the second highest profession level. Luxembourg and Netherlands: Correct filter for v306=4; but: empirically none of the retired has a valid ISCO-code. Poland: Due to different filter structure on v306 housewives (v306=5) and unemployed (v306=7) have also valid ISCO-codes. Filter on v306=8 'other' leads to v315. Empirically the filter has been ignored for 12 cases with valid ISCO codes. Romania: 1- and 2-digit ISCO codes have been adapted to the 4-digit ISCO-88 by adding the missing zeros to the code. Data only available on the first and second highest profession levels. Slovak Republic: According to different filter structure on v306, unemployed respondents (v306=7) should have been asked v311. Empirically none of them has valid codes on v311. Although filter on v306=8 leads to v315, respondents with 'other' employment status have valid ISCO-codes. Slovenia: According to filter on v306, respondents with v306=5-8 (housewives, students, unemployed, and others) should not have been asked v311. Empirically filter has been ignored by some interviewers. 2-digit ISCO code has been adapted to the 4-digit ISCO-88 by adding the missing zeros to the code. Data only available on the second highest profession level. Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Turkey: Open ended questions set in the field questionnaire to give additional information on occupation did not work as intended. Therefore all cases are coded as -4 'not asked'. Trend question: EVS 2008 and EVS 1999. (Modified trend: question wording, interviewer instruction). Open-ended question If a wild code could not be identified, it was recoded into the next identifiable higher level profession unit (starting with minor group, sub major group then major group). 144 cases were recoded and 42 cases could have been identified. Source for recodes: International Standard Classification of Occupations (ISCO-88) provided by the International Labour Organization. 18 September 2004. Web: 10 December 2011 www.ilo.org. kind of job respondent - 2 digit ISCO88 code (Q101) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 armed forces armed forces 10 legislators, senior officials and managers legislators, senior officials and managers 11 legislators and senior officials legislators and senior officials 12 corporate managers corporate managers 13 general managers general managers 20 professionals professionals 21 physical, mathematical and engineering science professionals physical, mathematical and engineering science professionals 22 life science and health professionals life science and health professionals 23 teaching professionals teaching professionals 24 other professionals other professionals 25 education professionals not elsewhere classified education professionals not elsewhere classified 30 technicians and related asssociate professionals technicians and related associate professionals 31 physical and engineering science associate professionals physical and engineering science associate professionals 32 life science and health associate professionals life science and health associate professionals 33 teaching associate professionals teaching associate professionals 34 other associate professionals other associate professionals 40 clerks clerks 41 office clerks office clerks 42 customer service clerks customer service clerks 50 service workers and shop and market sales workers service workers and shop and market sales workers 51 personal and protective services workers personal and protective services workers 52 models, salespersons and demonstrators models, salespersons and demonstrators 60 skilled agricultural and fishery workers skilled agricultural and fishery workers 61 market-oriented skilled agricultural and fishery workers market-oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers subsistence agricultural and fishery workers 70 craft and related trade workers craft and related trade workers 71 extraction and building trade workers extraction and building trade workers 72 metal, machinery and related trades workers metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers precision, handicraft, printing and related trades workers 74 other craft and related trades workers other craft and related trades workers 80 plant & machine operators & assemblers plant & machine operators & assemblers 81 stationary plant and related operators stationary plant and related operators 82 machine operators and assemblers machine operators and assemblers 83 drivers and mobile plant operators drivers and mobile plant operators 84 semiskilled workers nfs semiskilled workers nfs 90 elementary occupations elementary occupations 91 sales and services elementary occupations sales and services elementary occupations 92 agricultural, fishery and related labourers agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport labourers in mining, construction, manufacturing and transport 99 not classiffied; inadequate description not classified; inadequate description Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Trend question: EVS 2008 and EVS 1999. Job profession/industry (2 digit ISCO88) Source variable: v311 [In which profession/industry do you or did you work?] kind of job respondent - 3 digit ISCO88 code (Q101) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 11 member of armed forces member of armed forces 100 legislators, senior officials & managers legislators, senior officials & managers 110 legislators & senior officials legislators & senior officials 111 legislators legislators 112 senior government officials senior government officials 113 traditional chiefs & heads of villages traditional chiefs & heads of villages 114 senior officials special-interest organisations senior officials special-interest organisations 120 corporate managers [large enterprise] corporate managers [large enterprise] 121 directors & chief executives [large enterprise] directors & chief executives [large enterprise] 122 department managers - large departments department managers - large departments 123 other department managers [large enterprise] other department managers [large enterprise] 124 [office manager] [office manager] 125 [military officers] [military officers] 130 general managers [small enterprise] general managers [small enterprise] 131 general managers [small enterprise] general managers [small enterprise] 132 businessman/trader/entrepreneur nsf businessman/trader/entrepreneur nsf 200 professionals professionals 210 physical, mathematical & engineering science professionals physical, mathematical & engineering science professionals 211 physicists, chemists & related professionals physicists, chemists & related professionals 212 mathematicians, statisticians etc professionals mathematicians, statisticians etc professionals 213 computing professionals computing professionals 214 architects, engineers etc professionals architects, engineers etc professionals 220 life science & health professionals life science & health professionals 221 life science professionals life science professionals 222 health professionals (except nursing) health professionals (except nursing) 223 nursing & midwifery professionals nursing & midwifery professionals 230 teaching professionals teaching professionals 231 higher education teaching professionals higher education teaching professionals 232 secondary education teaching professionals secondary education teaching professionals 233 primary & pre-primary education teaching professionals primary & pre-primary education teaching professionals 234 special education teaching professionals special education teaching professionals 235 other teaching professionals other teaching professionals 240 other professionals other professionals 241 business professionals business professionals 242 legal professionals legal professionals 243 archivists, librarians etc information professionals archivists, librarians etc information professionals 244 social science etc professionals social science etc professionals 245 writers & creative or performing artists writers & creative or performing artists 246 religious professionals religious professionals 247 Public service administrative professionals (A) Public service administrative professionals (A) 300 technicians and associated professionals technicians and associated professionals 310 physical & engineering science associate professionals physical & engineering science associate professionals 311 physical & engineering science technicians physical & engineering science technicians 312 computer associate professionals computer associate professionals 313 optical & electronic equipment operators optical & electronic equipment operators 314 ship & aircraft controllers & technicians ship & aircraft controllers & technicians 315 safety & ouality inspectors safety & quality inspectors 320 life science & health associate professionals life science & health associate professionals 321 life science technicians etc associate professionals life science technicians etc associate professionals 322 modern health associate professionals except nursing modern health associate professionals except nursing 323 nursing & midwifery associate professionals nursing & midwifery associate professionals 324 traditional medicine practitioners & faith healers traditional medicine practitioners & faith healers 330 teaching associate professionals teaching associate professionals 331 primary education teaching associate professionals primary education teaching associate professionals 332 pre-primary education teaching associate professionals pre-primary education teaching associate professionals 333 special education teaching associate professionals special education teaching associate professionals 334 other teaching associate professionals other teaching associate professionals 340 other associate professionals other associate professionals 341 finance & sales associate professionals finance & sales associate professionals 342 business services agents and trade brokers business services agents and trade brokers 343 administrative associate professionals administrative associate professionals 344 customs, tax etc government associate professionals customs, tax etc government associate professionals 345 [police and army officers] [police and army officers] 346 social work associate professionals social work associate professionals 347 artistic, entertainment & sports associate professionals artistic, entertainment & sports associate professionals 348 religious associate professionals religious associate professionals 400 clerks clerks 410 office clerks office clerks 411 secretaries & keyboard-operating clerks secretaries & keyboard-operating clerks 412 numerical clerks numerical clerks 413 material-recording & transport clerks material-recording & transport clerks 414 library, mail etc clerks library, mail etc clerks 419 other office clerks other office clerks 420 customer services clerks customer services clerks 421 cashiers, tellers etc clerks cashiers, tellers etc clerks 422 client information clerks client information clerks 500 service workers & shop & market sales workers service workers & shop & market sales workers 510 personal & protective services workers personal & protective services workers 511 travel attendants etc travel attendants etc 512 housekeeping & restaurant services workers housekeeping & restaurant services workers 513 personal care etc work personal care etc work 514 other personal services workers other personal services workers 515 astrologers, fortune-tellers etc workers astrologers, fortune-tellers etc workers 516 protective services workers protective services workers 520 models, salespersons & demonstrators models, salespersons & demonstrators 521 fashion & other models fashion & other models 522 shop salespersons & demonstrators shop salespersons & demonstrators 523 stall & market salespersons stall & market salespersons 600 skilled agricultural & fishery workers skilled agricultural & fishery workers 610 market-oriented skilled agricultural & fishery workers market-oriented skilled agricultural & fishery workers 611 market gardeners & cropgrowers market gardeners & cropgrowers 612 market-oriented animal producers etc workers market-oriented animal producers etc workers 613 market-oriented crop & animal producers market-oriented crop & animal producers 614 forestry etc workers forestry etc workers 615 fishery workers, hunters & trappers fishery workers, hunters & trappers 620 subsistence agricultural & fishery workers subsistence agricultural & fishery workers 621 subsistence agricultural & fishery workers subsistence agricultural & fishery workers 700 craft etc trades workers craft etc trades workers 710 extraction & building trades workers extraction & building trades workers 711 miners, shotfirers, stone cutters & carvers miners, shotfirers, stone cutters & carvers 712 [builders] & ar trades workers [builders] & ar trades workers 713 building finishers etc trades workers building finishers etc trades workers 714 painters, building structure cleaners etc trades workers painters, building structure cleaners etc trades workers 720 metal, machinery etc trades workers metal, machinery etc trades workers 721 metal moulders, welders, sheetmetal workers metal moulders, welders, sheetmetal workers 722 blacksmiths, tool-makers etc trades workers blacksmiths, tool-makers etc trades workers 723 machinery mechanics & fitters machinery mechanics & fitters 724 electrical & electronic equipment mechanics & fitters electrical & electronic equipment mechanics & fitters 730 precision, handicraft, printing etc trades workers precision, handicraft, printing etc trades workers 731 precision workers in metal etc materials precision workers in metal etc materials 732 potters, glass-makers etc trades workers potters, glass-makers etc trades workers 733 handicraft workers in wood,textile, leather etc handicraft workers in wood,textile, leather etc 734 printing etc trades workers printing etc trades workers 740 other craft etc trades workers other craft etc trades workers 741 food processing etc trades workers food processing etc trades workers 742 wood treaters, cabinet-makers etc trades workers wood treaters, cabinet-makers etc trades workers 743 textile, garment etc trades workers textile, garment etc trades workers 744 pelt, leather & shoemaking trades workers pelt, leather & shoemaking trades workers 750 [skilled manual worker nfs] [skilled manual worker nfs] 751 [non farm foremen nfs] [non farm foremen nfs] 752 [skilled manual workers nfs] [skilled manual workers nfs] 753 [apprentice skilled work nfs] [apprentice skilled work nfs] 800 plant & machine operators & assemblers plant & machine operators & assemblers 810 stationary-plant etc operators stationary-plant etc operators 811 mining- & mineral-processing plant operators mining- & mineral-processing plant operators 812 metal-processing-plant operators metal-processing-plant operators 813 glass, ceramics etc plant operators glass, ceramics etc plant operators 814 wood-processing- & papermaking-plant operators wood-processing- & papermaking-plant operators 815 chemical-processing-plant operators chemical-processing-plant operators 816 power-production etc plant operators power-production etc plant operators 817 automated-assembly-line & industrial-robot operators automated-assembly-line & industrial-robot operators 820 machine operators & assemblers machine operators & assemblers 821 metal- & mineral-products machine operators metal- & mineral-products machine operators 822 chemical-products machine operators chemical-products machine operators 823 rubber- & plastic-products machine operators rubber- & plastic-products machine operators 824 wood-products machine operators wood-products machine operators 825 printing- binding- & paper-products machine operators printing- binding- & paper-products machine operators 826 textile- fur- & leather-products machine operators textile- fur- & leather-products machine operators 827 food etc products machine operators food etc products machine operators 828 assemblers assemblers 829 other machine operators & assemblers other machine operators & assemblers 830 drivers & mobile-plant operators drivers & mobile-plant operators 831 locomotive-engine drivers etc workers locomotive-engine drivers etc workers 832 motor-vehicle drivers motor-vehicle drivers 833 agricultural & other mobile-plant operators agricultural & other mobile-plant operators 834 ships deck crews etc workers ships deck crews etc workers 840 semiskilled workers nfs semiskilled workers nfs 900 elementary occupations elementary occupations 910 sales & services elementary occupations sales & services elementary occupations 911 street vendors etc workers street vendors etc workers 912 street services elementary occupations street services elementary occupations 913 domestic etc helpers cleaners & launderers domestic etc helpers cleaners & launderers 914 building caretakers, window etc cleaners building caretakers, window etc cleaners 915 messengers, porters, doorkeepers etc workers messengers, porters, doorkeepers etc workers 916 garbage collectors etc labourers garbage collectors etc labourers 920 agricultural, fishery etc labourers agricultural, fishery etc labourers 921 agricultural, fishery etc labourers agricultural, fishery etc labourers 930 labourers in mining, construction, manuf. & transport labourers in mining, construction, manuf. & transport 931 mining & construction labourers mining & construction labourers 932 manufacturing labourers manufacturing labourers 933 transport labourers & freight handlers transport labourers & freight handlers 996 Not classiffied; inadequate description not classified; inadequate description Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Trend question: EVS 2008 and EVS 1999. Job profession/industry (3 digit ISCO88) Source variable: v311 [In which profession/industry do you or did you work?] kind of job respondent (Q 102/Q103) What is/was your job there? .......................... Write in and code below Q. 103 -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 employer/manager of establ with 10 or more employees employer/manager of establ with 10 or more employees 2 employer/manager of establ with less than 10 employees employer/manager of establ with less than 10 employees 3 professional worker (lawyer, accountant, teacher etc) professional worker (lawyer, accountant, teacher etc) 4 middle level non-manual -office worker etc middle level non-manual -office worker etc 5 junior level non-manual -office worker etc junior level non-manual -office worker etc 6 foreman and supervisor foreman and supervisor 7 skilled manual worker skilled manual worker 8 semi-skilled manual worker semi-skilled manual worker 9 unskilled manual worker unskilled manual worker 10 farmer: employer, manager or own account farmer: employer, manager or own account 11 agricultural worker agricultural worker 12 member of armed forces member of armed forces 13 never had a job never had a job Q. 102 Open-ended question Austria: Due to different filter structure on v306 housewives (v306=5), unemployed (v306=7) and others (v306=8) have also valid codes on v312; 34 widowed women coded as 'retired/pensioned' (v306=4) have not been asked v312. Belgium: Due to different filter structure on v306 housewives (v306=5) and unemployed (v306=7) have also valid codes on v312. Czech Republic: Despite the correct filter on v306, one unemployed (v306=7) and one 'other' respondent (v306=8) have valid codes on v312. Denmark: Due to different question structure (v314 placed directly after v306), unemployed respondents (v306=7) have also valid codes on v312. Unemployed who have never had a job (v314_dk=7) have not been asked v312. Finland: Question not fielded in the Finnish field questionnaire, information already collected in a register maintained by the data collector. France and Portugal: Due to different filter structure on v306 unemployed (v306=7) have also valid codes on v312. Hungary: Due to different filter structure on v306 housewives, students, unemployed and others (v306=3-8) have also valid codes on v312. Ireland and Northern Ireland: Question not included in the Irish and Northern Irish field questionnaire. Information reconstructed by Ireland on the basis of v309 and v311; unemployed (v306=7) have also valid codes on v312. Luxembourg and Netherlands: Correct filter for v306=4; but: empirically none of the retired respondents has a valid code on v312. Malta: Due to filter on v306 and different order of variables in field questionnaire unemployed (v306=7) have also valid codes on v312, and retired (v306=4) have not been asked v312. Poland: Due to different filter structure on v306 housewives (v306=5) and unemployed (v306=7) have also valid codes on v312. Slovak Republic: According to different filter structure on v306, unemployed respondents (v306=7) should have been asked v312. Empirically only one respondent with v306=7 has been asked v312, and it is coded as 13 'never had a job'. Although filter on v306=8 leads to v315, respondents with 'other' employment status are coded as -2 'no answer' instead of -3 'nap'. Slovenia: According to filter on v306, respondents with v306=5-8 (housewives, students, unemployed, and others) should not have been asked v312. Empirically filter has been ignored by some interviewers. Sweden: Due to different filter on v306, retired/pensioned have not been asked v312. how long are you unemployed (Q104) And for how long are you unemployed? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 less than half a year less than half a year 2 half a year -one year between half a year and one year 3 one year one year 4 one -two years between one and two years 5 two years two years 6 + two years more than two years Austria: To make sure that only unemployed respondents will be asked v314 the Austrian questionnaire uses an additional filter (Q103a respondent is unemployed) before asking v314 (Q104). Denmark: Different question structure: additional answer category (7 'never had a job'). Finland: Different question wording: 'how long have you ever been unemployed'; different filter structure: respondents in paid employment and pensioned have also been asked v314. Variable adapted to Master Questionnaire taking into account v306 (employment status) and v87 (employed). Greece: Although correct filter on v306, some retired/pensioned respondents (v306=4) have valid answers on v314 (n=8). Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. are you the chief wage earner (Q105) Are you the chief wage earner? if "yes" - go to Q.110 -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no is the chief wage earner employed (Q106) Is the chief wage earner employed now or not? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Denmark: Additional filter: none of the respondents with v316=2/-1 has been asked v317 and v318. Germany: Variable has been replaced by the same question format as v306 (Is the chief wage earner currently employed or what else on the list applies to him/her?); as a consequence, v316 follows the same filter logic as v306, i.e., in constrast to the Master Questionnaire housewives, students, unemployed, 'other', and 'na' have not been asked v317 and v318. kind of job chief wage earner - ISCO88 code (Q107) In which profession/industry does/did he (she) work? ................... Write in Code according to ISCO88 ................... -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 110 member of armed forces member of armed forces 1000 legislators, senior officials & managers legislators, senior officials & managers 1100 legislators & senior officials legislators & senior officials 1110 legislators legislators 1111 legislators legislators 1112 ministers ministers 1120 senior government officials senior government officials 1121 senior government officials nsf senior government officials nsf 1122 nomenklatura senior government officials nomenklatura senior government officials 1123 non-nomenklatura senior government officials non-nomenklatura senior government officials 1124 nomenklatura local government officials nomenklatura local government officials 1125 non-nomenklatura local government officials non-nomenklatura local government officials 1130 traditional chiefs & heads of villages traditional chiefs & heads of villages 1140 senior officials special-interest organisations senior officials special-interest organisations 1141 senior officials political-party organisations senior officials political-party organisations 1142 senior officials economic-interest organisations senior officials economic-interest organisations 1143 senior officials special-interest organisations senior officials special-interest organisations 1150 communist party officials communist party officials 1151 cp central committee members cp central committee members 1152 cp central committee apparatus - nomenklatura cp central committee apparatus - nomenklatura 1153 cp central committee apparatus - non-nomenklatura cp central committee apparatus - non-nomenklatura 1154 local party officials - nomenklatura local party officials - nomenklatura 1155 local party officials - non-nomenklatura local party officials - non-nomenklatura 1156 party officials in econ.enterpr. - nomenklatura party officials in econ.enterpr. - nomenklatura 1157 party officials in econ.enterpr. - non-nomenklatura party officials in econ.enterpr. - non-nomenklatura 1158 party officials in party enterpr. - nomenklatura party officials in party enterpr. - nomenklatura 1159 party officials in party enterpr. - non-nomenklatura party officials in party enterpr. - non-nomenklatura 1160 administrators of mass organizations administrators of mass organizations 1161 trade union officials - nomenklatura trade union officials - nomenklatura 1162 trade union officials - non-nomenklatura trade union officials - non-nomenklatura 1163 youth organization officials - nomenklatura youth organization officials - nomenklatura 1164 youth organization officials - non-nomenklatura youth organization officials - non-nomenklatura 1165 administrators of othr cp mass org. - nomenklatura administrators of other cp mass org. - nomenklatura 1166 administrators of othr cp mass org. - non-nom. administrators of other cp mass org. - non-nom. 1200 corporate managers [large enterprise] corporate managers [large enterprise] 1210 directors & chief executives [large enterprise] directors & chief executives [large enterprise] 1211 directors & chief executives directors & chief executives 1212 deputy directors, chief engineers and accountants deputy directors, chief engineers and accountants 1220 department managers - large departments department managers - large departments 1221 department managers in agriculture department managers in agriculture 1222 department managers manufacturing department managers manufacturing 1223 department managers construction department managers construction 1224 department managers wholesale & retail trade department managers wholesale & retail trade 1225 department managers restaurants & hotels department managers restaurants & hotels 1226 department managers transport, storage & communications department managers transport, storage & communications 1227 department managers business services department managers business services 1228 department managers personal care, cleaning etc department managers personal care, cleaning etc 1229 operations department managers nec operations department managers nec 1230 other department managers [large enterprise] other department managers [large enterprise] 1231 finance & administration department managers finance & administration department managers 1232 personnel & industrial relations department managers personnel & industrial relations department managers 1233 sales & marketing department managers sales & marketing department managers 1234 advertising & public relations department managers advertising & public relations department managers 1235 supply & distribution department managers supply & distribution department managers 1236 computing services department managers computing services department managers 1237 research & development department managers research & development department managers 1239 other department managers nec other department managers nec 1240 [office manager] [office manager] 1250 [military officers] [military officers] 1251 [high military officers] [high military officers] 1252 [lower military officers] [lower military officers] 1300 general managers [small enterprise] general managers [small enterprise] 1310 general managers [small enterprise] general managers [small enterprise] 1311 general managers agriculture, hunting forestry & fishing general managers agriculture, hunting forestry & fishing 1312 general managers manufacturing general managers manufacturing 1313 general managers construction general managers construction 1314 general managers wholesale & retail trade general managers wholesale & retail trade 1315 general managers restaurants & hotels general managers restaurants & hotels 1316 general managers transport, storage & communications general managers transport, storage & communications 1317 general managers business services general managers business services 1318 general managers personal care, cleaning etc services general managers personal care, cleaning etc services 1319 general managers nec general managers nec 1320 businessman/trader/entrepreneur nsf businessman/trader/entrepreneur nsf 2000 professionals professionals 2010 scientific, cultural and media nomenklatura scientific, cultural and media nomenklatura 2011 media nomenklatura media nomenklatura 2012 scientific and cultural nomenklatura scientific and cultural nomenklatura 2100 physical, mathematical & engineering science professionals physical, mathematical & engineering science professionals 2110 physicists, chemists & related professionals physicists, chemists & related professionals 2111 physicists & astronomers physicists & astronomers 2112 meteorologists meteorologists 2113 chemists chemists 2114 geologists & geophysicists geologists & geophysicists 2120 mathematicians, statisticians etc professionals mathematicians, statisticians etc professionals 2121 mathematicians etc professionals mathematicians etc professionals 2122 statisticians statisticians 2130 computing professionals computing professionals 2131 computer systems designers & analysts computer systems designers & analysts 2132 computer programmers computer programmers 2139 computing professionals nec computing professionals nec 2140 architects, engineers etc professionals architects, engineers etc professionals 2141 architects town & traffic planners architects town & traffic planners 2142 civil engineers civil engineers 2143 electrical engineers electrical engineers 2144 electronics & telecommunications engineers electronics & telecommunications engineers 2145 mechanical engineers mechanical engineers 2146 chemical engineers chemical engineers 2147 mining engineers metallurgists etc professionals mining engineers metallurgists etc professionals 2148 cartographers & surveyors cartographers & surveyors 2149 architects engineers etc professionals nec architects engineers etc professionals nec 2200 life science & health professionals life science & health professionals 2210 life science professionals life science professionals 2211 biologists, botanists zoologists etc professionals biologists, botanists zoologists etc professionals 2212 pharmacologists, pathologists etc professlonals pharmacologists, pathologists etc professionals 2213 agronomists etc professionals agronomists etc professionals 2220 health professionals (except nursing) health professionals (except nursing) 2221 medical doctors medical doctors 2222 dentists dentists 2223 veterinarians veterinarians 2224 pharmacists pharmacists 2229 health professionals except nursing nec health professionals except nursing nec 2230 nursing & midwifery professionals nursing & midwifery professionals 2300 teaching professionals teaching professionals 2310 higher education teaching professionals higher education teaching professionals 2320 secondary education teaching professionals secondary education teaching professionals 2321 [second academ teacher] [second academ teacher] 2322 [second voc teacher] [second voc teacher] 2323 [middle school teacher] [middle school teacher] 2330 primary & pre-primary education teaching professionals primary & pre-primary education teaching professionals 2331 primary education teaching professionals primary education teaching professionals 2332 pre-primary education teaching professionals pre-primary education teaching professionals 2340 special education teaching professionals special education teaching professionals 2350 other teaching professionals other teaching professionals 2351 education methods specialists education methods specialists 2352 school inspectors school inspectors 2359 other teaching professionals nec other teaching professionals nec 2400 other professionals other professionals 2410 business professionals business professionals 2411 accountants accountants 2412 personnel & careers professionals personnel & careers professionals 2419 business professionals nec business professionals nec 2420 legal professionals legal professionals 2421 lawyers lawyers 2422 judges judges 2429 legal professionals nec legal professionals nec 2430 archivists, librarians etc information professionals archivists, librarians etc information professionals 2431 archivists & curators archivists & curators 2432 librarians etc information professionals librarians etc information professionals 2440 social science etc professionals social science etc professionals 2441 economists economists 2442 sociologists anthropologists etc professionals sociologists anthropologists etc professionals 2443 philosophers, historians & political scientists philosophers, historians & political scientists 2444 philologists translators & interpreters philologists translators & interpreters 2445 psychologists psychologists 2446 social work professionals social work professionals 2450 writers & creative or performing artists writers & creative or performing artists 2451 authors journalists & other writers authors journalists & other writers 2452 sculptors, painters etc artists sculptors, painters etc artists 2453 composers musicians & singers composers musicians & singers 2454 choreographers & dancers choreographers & dancers 2455 film, stage etc actors & directors film, stage etc actors & directors 2460 religious professionals religious professionals 3000 technicians and associated professionals technicians and associated professionals 3100 physical & engineering science associate professionals physical & engineering science associate professionals 3110 physical & engineering science technicians physical & engineering science technicians 3111 chemical & physical science technicians chemical & physical science technicians 3112 civil engineering technicians civil engineering technicians 3113 electrical engineering technicians electrical engineering technicians 3114 electronics & telecommunications engineering technicians electronics & telecommunications engineering technicians 3115 mechanical engineering technicians mechanical engineering technicians 3116 chemical engineering technicians chemical engineering technicians 3117 mining & metallurgical technicians mining & metallurgical technicians 3118 draughtspersons draughtspersons 3119 physical & engineering science technicians nec physical & engineering science technicians nec 3120 computer associate professionals computer associate professionals 3121 computer assistants computer assistants 3122 computer equipment operators computer equipment operators 3123 industrial robot controllers industrial robot controllers 3130 optical & electronic equipment operators optical & electronic equipment operators 3131 photographers & elctr equipment operators photographers & elctr equipment operators 3132 broadcasting & telecommunications equipment operators broadcasting & telecommunications equipment operators 3133 medical equipment operators medical equipment operators 3139 optical & electronic equipment operators nec optical & electronic equipment operators nec 3140 ship & aircraft controllers & technicians ship & aircraft controllers & technicians 3141 ships engineers ships engineers 3142 ships deck officers & pilots ships deck officers & pilots 3143 aircraft pilots etc associate professionals aircraft pilots etc associate professionals 3144 air traffic controllers air traffic controllers 3145 air traffic safety technicians air traffic safety technicians 3150 safety & ouality inspectors safety & quality inspectors 3151 building & fire inspectors building & fire inspectors 3152 safety, health & quality inspectors safety, health & quality inspectors 3200 life science & health associate professionals life science & health associate professionals 3210 life science technicians etc associate professionals life science technicians etc associate professionals 3211 life science technicians life science technicians 3212 agronomy & forestry technicians agronomy & forestry technicians 3213 farming & forestry advisers farming & forestry advisers 3220 modern health associate professionals except nursing modern health associate professionals except nursing 3221 medical assistants medical assistants 3222 sanitarians sanitarians 3223 dieticians & nutritionists dieticians & nutritionists 3224 optometrists & opticians optometrists & opticians 3225 dental assistants dental assistants 3226 physiotherapists etc associate professionals physiotherapists etc associate professionals 3227 veterinary assistants veterinary assistants 3228 pharmaceutical assistants pharmaceutical assistants 3229 modern health associate professionals except nursing nec modern health associate professionals except nursing nec 3230 nursing & midwifery associate professionals nursing & midwifery associate professionals 3231 nursing associate professionals nursing associate professionals 3232 midwifery associate professionals midwifery associate professionals 3240 traditional medicine practitioners & faith healers traditional medicine practitioners & faith healers 3241 traditional medicine practitioners traditional medicine practitioners 3242 faith healers faith healers 3300 teaching associate professionals teaching associate professionals 3310 primary education teaching associate professionals primary education teaching associate professionals 3320 pre-primary education teaching associate professionals pre-primary education teaching associate professionals 3330 special education teaching associate professionals special education teaching associate professionals 3340 other teaching associate professionals other teaching associate professionals 3400 other associate professionals other associate professionals 3410 finance & sales associate professionals finance & sales associate professionals 3411 securities & finance dealers & brokers securities & finance dealers & brokers 3412 insurance representatives insurance representatives 3413 estate agents estate agents 3414 travel consultants & organisers travel consultants & organisers 3415 technical & commercial sales representatives technical & commercial sales representatives 3416 buyers buyers 3417 appraisers, valuers & auctioneers appraisers, valuers & auctioneers 3419 finance & sales associate professionals nec finance & sales associate professionals nec 3420 business services agents and trade brokers business services agents and trade brokers 3421 trade brokers trade brokers 3422 clearing & forwarding agents clearing & forwarding agents 3423 employment agents & labour contractors employment agents & labour contractors 3429 business services agents & trade brokers nec business services agents & trade brokers nec 3430 administrative associate professionals administrative associate professionals 3431 administrative secretaries etc associate professionals administrative secretaries etc associate professionals 3432 legal etc business associate professionals legal etc business associate professionals 3433 bookkeepers bookkeepers 3434 statistical, mathematical etc associate professionals statistical, mathematical etc associate professionals 3439 administrative associate professionals nec administrative associate professionals nec 3440 customs, tax etc government associate professionals customs, tax etc government associate professionals 3441 customs & border inspectors customs & border inspectors 3442 government tax & excise officials government tax & excise officials 3443 government social benefits officials government social benefits officials 3444 government licensing officials government licensing officials 3449 customs tax etc government associate professionals nec customs tax etc government associate professionals nec 3450 [police and army officers] [police and army officers] 3451 [police inspectors-detectives] [police inspectors-detectives] 3452 [armed forces non-commissioned officers + army nfs] [armed forces non-commissioned officers + army nfs] 3460 social work associate professionals social work associate professionals 3470 artistic, entertainment & sports associate professionals artistic, entertainment & sports associate professionals 3471 decorators & commercial designers decorators & commercial designers 3472 radio, television & other announcers radio, television & other announcers 3473 street night-club etc musicians singers & dancers street night-club etc musicians singers & dancers 3474 clowns magicians acrobats etc associate professionals clowns magicians acrobats etc associate professionals 3475 athletes sportspersons etc associate professionals athletes sportspersons etc associate professionals 3480 religious associate professionals religious associate professionals 4000 clerks clerks 4100 office clerks office clerks 4110 secretaries & keyboard-operating clerks secretaries & keyboard-operating clerks 4111 stenographers & typists stenographers & typists 4112 word-processor etc operators word-processor etc operators 4113 data entry operators data entry operators 4114 calculating-machine operators calculating-machine operators 4115 secretaries secretaries 4120 numerical clerks numerical clerks 4121 accounting & bookkeeping clerks accounting & bookkeeping clerks 4122 statistical & finance clerks statistical & finance clerks 4130 material-recording & transport clerks material-recording & transport clerks 4131 stock clerks stock clerks 4132 production clerks production clerks 4133 transport clerks transport clerks 4140 library, mail etc clerks library, mail etc clerks 4141 library & filing clerks library & filing clerks 4142 mail carriers & sorting clerks mail carriers & sorting clerks 4143 coding proof-reading etc clerks coding proof-reading etc clerks 4144 scribes etc workers scribes etc workers 4190 other office clerks other office clerks 4200 customer services clerks customer services clerks 4210 cashiers, tellers etc clerks cashiers, tellers etc clerks 4211 cashiers & ticket clerks cashiers & ticket clerks 4212 tellers & other counter clerks tellers & other counter clerks 4213 bookmakers & croupiers bookmakers & croupiers 4214 pawnbrokers & money-lenders pawnbrokers & money-lenders 4215 debt-collectors etc workers debt-collectors etc workers 4220 client information clerks client information clerks 4221 travel agency etc clerks travel agency etc clerks 4222 receptionists & information clerks receptionists & information clerks 4223 telephone switchboard operators telephone switchboard operators 5000 service workers & shop & market sales workers service workers & shop & market sales workers 5100 personal & protective services workers personal & protective services workers 5110 travel attendants etc travel attendants etc 5111 travel attendants & travel stewards travel attendants & travel stewards 5112 transport conductors transport conductors 5113 travel, museum guides travel, museum guides 5120 housekeeping & restaurant services workers housekeeping & restaurant services workers 5121 housekeepers etc workers housekeepers etc workers 5122 cooks cooks 5123 waiters waitresses & bartenders waiters waitresses & bartenders 5130 personal care etc work personal care etc work 5131 child-care workers child-care workers 5132 institution-based personal care workers institution-based personal care workers 5133 home based personal care workers home based personal care workers 5139 personal care etc workers nec personal care etc workers nec 5140 other personal services workers other personal services workers 5141 hairdressers barbers beauticians etc workers hairdressers barbers beauticians etc workers 5142 companions & valets companions & valets 5143 undertakers & embalmers undertakers & embalmers 5149 other personal services workers nec other personal services workers nec 5150 astrologers, fortune-tellers etc workers astrologers, fortune-tellers etc workers 5151 astrologers etc workers astrologers etc workers 5152 fortune-tellers, palmists etc workers fortune-tellers, palmists etc workers 5160 protective services workers protective services workers 5161 fire-fighters fire-fighters 5162 police officers police officers 5163 prison guards prison guards 5164 [army: enlisted men - soldiers] [army: enlisted men - soldiers] 5169 protective services workers nec protective services workers nec 5200 models, salespersons & demonstrators models, salespersons & demonstrators 5210 fashion & other models fashion & other models 5220 shop salespersons & demonstrators shop salespersons & demonstrators 5230 stall & market salespersons stall & market salespersons 6000 skilled agricultural & fishery workers skilled agricultural & fishery workers 6100 market-oriented skilled agricultural & fishery workers market-oriented skilled agricultural & fishery workers 6110 market gardeners & cropgrowers market gardeners & cropgrowers 6111 field crop & vegetable growers field crop & vegetable growers 6112 tree & shrub crop growers tree & shrub crop growers 6113 gardeners, horticultural & nursery growers gardeners, horticultural & nursery growers 6114 mixed-crop growers mixed-crop growers 6120 market-oriented animal producers etc workers market-oriented animal producers etc workers 6121 dairy & livestock producers dairy & livestock producers 6122 poultry producers poultry producers 6123 apiarists & sericulturists apiarists & sericulturists 6124 mixed -animal producers mixed -animal producers 6129 market-oriented animal producers etc workers nec market-oriented animal producers etc workers nec 6130 market-oriented crop & animal producers market-oriented crop & animal producers 6133 [farmer nfs] [farmer nfs] 6134 [skilled farm worker nfs] [skilled farm worker nfs] 6140 forestry etc workers forestry etc workers 6141 forestry workers & loggers forestry workers & loggers 6142 charcoal burners etc workers charcoal burners etc workers 6150 fishery workers, hunters & trappers fishery workers, hunters & trappers 6151 aquatic-life cultivation workers aquatic-life cultivation workers 6152 inland & coastal waters fishery workers inland & coastal waters fishery workers 6153 deep-sea fishery workers deep-sea fishery workers 6154 hunters & trappers hunters & trappers 6160 market-oriented skilled agricultural & fishery workers market-oriented skilled agricultural & fishery workers 6200 subsistence agricultural & fishery workers subsistence agricultural & fishery workers 6210 subsistence agricultural & fishery workers subsistence agricultural & fishery workers 7000 craft etc trades workers craft etc trades workers 7100 extraction & building trades workers extraction & building trades workers 7110 miners, shotfirers, stone cutters & carvers miners, shotfirers, stone cutters & carvers 7111 miners & quarry workers miners & quarry workers 7112 shotfirers & blasters shotfirers & blasters 7113 stone splitters cutters & carvers stone splitters cutters & carvers 7120 building frame and related trades workers building frame and related trades workers 7121 builders traditional materials builders traditional materials 7122 bricklayers & stonemasons bricklayers & stonemasons 7123 concrete placers concrete finishers etc workers concrete placers concrete finishers etc workers 7124 carpenters & joiners carpenters & joiners 7129 [builders] ar trades workers nec [builders] ar trades workers nec 7130 building finishers etc trades workers building finishers etc trades workers 7131 roofers roofers 7132 floor layers & tile setters floor layers & tile setters 7133 plasterers plasterers 7134 insulation workers insulation workers 7135 glaziers glaziers 7136 plumbers & pipe fitters plumbers & pipe fitters 7137 building etc electricians building etc electricians 7140 painters, building structure cleaners etc trades workers painters, building structure cleaners etc trades workers 7141 painters etc workers painters etc workers 7142 varnishers etc painters varnishers etc painters 7143 building structure cleaners building structure cleaners 7200 metal, machinery etc trades workers metal, machinery etc trades workers 7210 metal moulders, welders, sheetmetal workers, structural-metal preparers and related trade workers metal moulders, welders, sheetmetal workers, structural-metal preparers and related trade workers 7211 metal moulders & coremakers metal moulders & coremakers 7212 welders & flamecutters welders & flamecutters 7213 sheet-metal workers sheet-metal workers 7214 structural-metal preparers & erectors structural-metal preparers & erectors 7215 riggers & cable splicers riggers & cable splicers 7216 underwater workers underwater workers 7220 blacksmiths, tool-makers etc trades workers blacksmiths, tool-makers etc trades workers 7221 blacksmiths hammer-smiths & forgingpress workers blacksmiths hammer-smiths & forgingpress workers 7222 tool-makers etc workers tool-makers etc workers 7223 machine-tool setters & setter-operators machine-tool setters & setter-operators 7224 metal wheel-grinders polishers & tool sharpeners metal wheel-grinders polishers & tool sharpeners 7230 machinery mechanics & fitters machinery mechanics & fitters 7231 motor vehicle mechanics & fitters motor vehicle mechanics & fitters 7232 aircraft engine mechanics & fitters aircraft engine mechanics & fitters 7233 agricultural- or industrial-machinery mechanics & fitters agricultural- or industrial-machinery mechanics & fitters 7234 [unskl garage worker, oiler] [unskl garage worker, oiler] 7240 electrical & electronic equipment mechanics & fitters electrical & electronic equipment mechanics & fitters 7241 electrical mechanics & fitters electrical mechanics & fitters 7242 electronics fitters electronics fitters 7243 electronics mechanics & servicers electronics mechanics & servicers 7244 telegraph & telephone installers & servlcers telegraph & telephone installers & servicers 7245 electrical line installers repairers & cable jointers electrical line installers repairers & cable jointers 7300 precision, handicraft, printing etc trades workers precision, handicraft, printing etc trades workers 7310 precision workers in metal etc materials precision workers in metal etc materials 7311 precision-instrument makers & repairers precision-instrument makers & repairers 7312 musical-instrument makers & tuners musical-instrument makers & tuners 7313 jewellery & precious-metal workers jewellery & precious-metal workers 7320 potters, glass-makers etc trades workers potters, glass-makers etc trades workers 7321 abrasive wheel formers potters etc workers abrasive wheel formers potters etc workers 7322 glass-makers cutters grinders & finishers glass-makers cutters grinders & finishers 7323 glass engravers & etchers glass engravers & etchers 7324 glass ceramics etc decorative painters glass ceramics etc decorative painters 7330 handicraft workers in wood,textile, leather etc handicraft workers in wood,textile, leather etc 7331 handicraft workers in wood etc materials handicraft workers in wood etc materials 7332 handicraft workers in textile leather etc materials handicraft workers in textile leather etc materials 7340 printing etc trades workers printing etc trades workers 7341 compositors typesetters etc workers compositors typesetters etc workers 7342 stereotypers & electrotypers stereotypers & electrotypers 7343 printing engravers & etchers printing engravers & etchers 7344 photographic etc workers photographic etc workers 7345 bookbinders etc workers bookbinders etc workers 7346 silk-screen, block & textile printers silk-screen, block & textile printers 7400 other craft etc trades workers other craft etc trades workers 7410 food processing etc trades workers food processing etc trades workers 7411 butchers fishmongers etc food preparers butchers fishmongers etc food preparers 7412 bakers-pastry cooks & confectionery makers bakers-pastry cooks & confectionery makers 7413 dairy-products makers dairy-products makers 7414 fruit, vegetable etc preservers fruit, vegetable etc preservers 7415 food & beverage tasters & graders food & beverage tasters & graders 7416 tobacco preparers & tobacco products makers tobacco preparers & tobacco products makers 7420 wood treaters, cabinet-makers etc trades workers wood treaters, cabinet-makers etc trades workers 7421 wood treaters wood treaters 7422 cabinet-makers etc workers cabinet-makers etc workers 7423 woodworking-machine setters & setteroperators woodworking-machine setters & setteroperators 7424 basketry weavers brush makers etc workers basketry weavers brush makers etc workers 7430 textile, garment etc trades workers textile, garment etc trades workers 7431 fibre preparers fibre preparers 7432 weavers knitters etc workers weavers knitters etc workers 7433 tailors dressmakers & hatters tailors dressmakers & hatters 7434 furriers etc workers furriers etc workers 7435 textile leather etc pattern-makers & cutters textile leather etc pattern-makers & cutters 7436 sewers embroiderers etc workers sewers embroiderers etc workers 7437 upholsterers etc workers upholsterers etc workers 7440 pelt, leather & shoemaking trades workers pelt, leather & shoemaking trades workers 7441 pelt dressers tanners & fellmongers pelt dressers tanners & fellmongers 7442 shoe-makers etc workers shoe-makers etc workers 7500 [skilled manual worker nfs] [skilled manual worker nfs] 7510 [non farm foremen nfs] [non farm foremen nfs] 7520 [skilled manual workers nfs] [skilled manual workers nfs] 7530 [apprentice skilled work nfs] [apprentice skilled work nfs] 8000 plant & machine operators & assemblers plant & machine operators & assemblers 8100 stationary-plant etc operators stationary-plant etc operators 8110 mining- & mineral-processing plant operators mining- & mineral-processing plant operators 8111 mining-plant operators mining-plant operators 8112 mineral-ore- & stone-processing-plant operators mineral-ore- & stone-processing-plant operators 8113 well drillers & borers etc workers well drillers & borers etc workers 8120 metal-processing-plant operators metal-processing-plant operators 8121 ore & metal furnace operators ore & metal furnace operators 8122 metal melters casters & rolling-mill operators metal melters casters & rolling-mill operators 8123 metal-heat-treating-plant operators metal-heat-treating-plant operators 8124 metal drawers & extruders metal drawers & extruders 8130 glass, ceramics etc plant operators glass, ceramics etc plant operators 8131 glass & ceramics kiln etc machine operators glass & ceramics kiln etc machine operators 8139 glass, ceramics etc plant operators nec glass, ceramics etc plant operators nec 8140 wood-processing- & papermaking-plant operators wood-processing- & papermaking-plant operators 8141 wood-processing-plant operators wood-processing-plant operators 8142 paper-pulp plant operators paper-pulp plant operators 8143 papermaking-plant operators papermaking-plant operators 8150 chemical-processing-plant operators chemical-processing-plant operators 8151 crushing- grinding- & chemical-mixing machinery operators crushing- grinding- & chemical-mixing machinery operators 8152 chemical-heat-treating-plant operators chemical-heat-treating-plant operators 8153 chemical-filtering- & separating-equipment operators chemical-filtering- & separating-equipment operators 8154 chemical-still & reactor operators chemical-still & reactor operators 8155 petroleum- & natural-gas-refining-plant operators petroleum- & natural-gas-refining-plant operators 8159 chemical-processing-plant operators nec chemical-processing-plant operators nec 8160 power-production etc plant operators power-production etc plant operators 8161 power-production plant operators power-production plant operators 8162 steam-engine & boiler operators steam-engine & boiler operators 8163 incinerator water-treatment etc plant operators incinerator water-treatment etc plant operators 8170 automated-assembly-line & industrial-robot operators automated-assembly-line & industrial-robot operators 8171 automated-assembly- line operators automated-assembly- line operators 8172 industrial-robot operators industrial-robot operators 8200 machine operators & assemblers machine operators & assemblers 8210 metal- & mineral-products machine operators metal- & mineral-products machine operators 8211 machine-tool operators machine-tool operators 8212 cement & other mineral products machine operators cement & other mineral products machine operators 8220 chemical-products machine operators chemical-products machine operators 8221 pharmaceutical- & toiletry-products machine operators pharmaceutical- & toiletry-products machine operators 8222 ammunition- & explosive-products machine operators ammunition- & explosive-products machine operators 8223 metal finishing- plating- & coating-machlne operators metal finishing- plating- & coating-machine operators 8224 photographic-products machine operators photographic-products machine operators 8229 chemical-products machine operators nec chemical-products machine operators nec 8230 rubber- & plastic-products machine operators rubber- & plastic-products machine operators 8231 rubber-products machine operators rubber-products machine operators 8232 plastic-products machine operators plastic-products machine operators 8240 wood-products machine operators wood-products machine operators 8250 printing- binding- & paper-products machine operators printing- binding- & paper-products machine operators 8251 printing-machine operators printing-machine operators 8252 bookbinding-machine operators bookbinding-machine operators 8253 paper-products machine operators paper-products machine operators 8260 textile- fur- & leather-products machine operators textile- fur- & leather-products machine operators 8261 fibre-preparing-, spinning- & windingmachine operators fibre-preparing-, spinning- & windingmachine operators 8262 weaving- & knitting-machine operators weaving- & knitting-machine operators 8263 sewing-machine operators sewing-machine operators 8264 bleaching- dyeing- & cleaning-machine operators bleaching- dyeing- & cleaning-machine operators 8265 fur- & leather-preparing-machine operators fur- & leather-preparing-machine operators 8266 shoemaking- etc machine operators shoemaking- etc machine operators 8269 textile- fur- & leather-products machine operators nec textile- fur- & leather-products machine operators nec 8270 food etc products machine operators food etc products machine operators 8271 meat- & fish-processing-machine operators meat- & fish-processing-machine operators 8272 dairy-products machine operators dairy-products machine operators 8273 grain- & spice-milling-machine operators grain- & spice-milling-machine operators 8274 baked-goods cereal & chocolate-products machine operators baked-goods cereal & chocolate-products machine operators 8275 fruit- vegetable- & nut-processing-machine operators fruit- vegetable- & nut-processing-machine operators 8276 sugar production machine operators sugar production machine operators 8277 tea- coffee- & cocoa-processing-machine operators tea- coffee- & cocoa-processing-machine operators 8278 brewers- wine & other beverage machine operators brewers- wine & other beverage machine operators 8279 tobacco production machine operators tobacco production machine operators 8280 assemblers assemblers 8281 mechanical-machinery assemblers mechanical-machinery assemblers 8282 electrical-equipment assemblers electrical-equipment assemblers 8283 electronic-equipment assemblers electronic-equipment assemblers 8284 metal- rubber- & plastic-products assemblers metal- rubber- & plastic-products assemblers 8285 wood etc products assemblers wood etc products assemblers 8286 paperboard textile etc products assemblers paperboard textile etc products assemblers 8290 other machine operators & assemblers other machine operators & assemblers 8300 drivers & mobile-plant operators drivers & mobile-plant operators 8310 locomotive-engine drivers etc workers locomotive-engine drivers etc workers 8311 locomotive-engine drivers locomotive-engine drivers 8312 railway brakers signallers & shunters railway brakers signallers & shunters 8320 motor-vehicle drivers motor-vehicle drivers 8321 motor-cycle drivers motor-cycle drivers 8322 car taxi & van drivers car taxi & van drivers 8323 bus & tram drivers bus & tram drivers 8324 heavy truck & lorry drivers heavy truck & lorry drivers 8330 agricultural & other mobile-plant operators agricultural & other mobile-plant operators 8331 motorised farm & forestry plant operators motorised farm & forestry plant operators 8332 earth-moving- etc plant operators earth-moving- etc plant operators 8333 crane hoist etc plant operators crane hoist etc plant operators 8334 lifting-truck operators lifting-truck operators 8340 ships deck crews etc workers ships deck crews etc workers 8400 [semiskld worker nfs] [semiskld worker nfs] 9000 elementary occupations elementary occupations 9100 sales & services elementary occupations sales & services elementary occupations 9110 street vendors etc workers street vendors etc workers 9111 street food vendors street food vendors 9112 street vendors non-food products street vendors non-food products 9113 door-to-door & telephone salespersons door-to-door & telephone salespersons 9120 shoe cleaning and other street services elementary occupations shoe cleaning and other street services elementary occupations 9130 domestic etc helpers cleaners & launderers domestic etc helpers cleaners & launderers 9131 domestic helpers & cleaners domestic helpers & cleaners 9132 helpers & cleaners in establishments helpers & cleaners in establishments 9133 hand-launderers & pressers hand-launderers & pressers 9140 building caretakers, window etc cleaners building caretakers, window etc cleaners 9141 building caretakers building caretakers 9142 vehicle, window etc cleaners vehicle, window etc cleaners 9150 messengers, porters, doorkeepers etc workers messengers, porters, doorkeepers etc workers 9151 messengers package & luggage porters & deliverers messengers package & luggage porters & deliverers 9152 doorkeepers watchpersons etc workers doorkeepers watchpersons etc workers 9153 vending-machine money collectors meter readers etc workers vending-machine money collectors meter readers etc workers 9160 garbage collectors etc labourers garbage collectors etc labourers 9161 garbage collectors garbage collectors 9162 sweepers etc labourers sweepers etc labourers 9200 agricultural, fishery etc labourers agricultural, fishery etc labourers 9210 agricultural, fishery etc labourers agricultural, fishery etc labourers 9211 farm-hands & labourers farm-hands & labourers 9212 forestry labourers forestry labourers 9213 fishery hunting & trapping labourers fishery hunting & trapping labourers 9300 labourers in mining, construction, manuf. & transport labourers in mining, construction, manuf. & transport 9310 mining & construction labourers mining & construction labourers 9311 mining & quarrying labourers mining & quarrying labourers 9312 construction & maintenance labourers: roads dams etc construction & maintenance labourers: roads dams etc 9313 building construction labourers building construction labourers 9320 manufacturing labourers manufacturing labourers 9321 assembling labourers assembling labourers 9322 hand packers & other manufacturing labourers hand packers & other manufacturing labourers 9330 transport labourers & freight handlers transport labourers & freight handlers 9331 hand or pedal vehicle drivers hand or pedal vehicle drivers 9332 drivers of animal-drawn vehicles & machinery drivers of animal-drawn vehicles & machinery 9333 freight handlers freight handlers Belgium, Denmark, Finland, France, Latvia, Slovenia, and Spain: 2 digit ISCO-codes. Croatia: 3 digit ISCO-code. Denmark: Respondents with code 2 on v315 should have been asked v317. Germany: Some chief wage earners (housewives, students, unemployed, 'other', 'na' according to v316) have not been asked v317. Malta: ICSO-codes of chief wage earner dropped from the questionnaire of Malta. Netherlands: Correct filter for v315 and v316; but: empirically none of the respondents with v315=2 and v316=2/-2 has a valid ISCO-code. Romania: 1 or 2 digit ISCO-codes. Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Turkey: Open ended questions set in the field questionnaire to give additional information on occupation did not work as intended. Therefore all cases are coded as -4 'not asked'. Open-ended question If a wild code could not be identified, it was recoded into the next identifiable higher level profession unit (starting with minor group, sub major group then major group). 84 cases were recoded and 26 cases could have been identified. Source for recodes: International Standard Classification of Occupations (ISCO-88) provided by the International Labour Organization. 18 September 2004. Web: 10 December 2011 www.ilo.org. kind of job chief wage earner - 2 digit ISCO88 code (Q107) (recoded) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 armed forces armed forces 10 legislators, senior officials and managers legislators, senior officials and managers 11 legislators and senior officials legislators and senior officials 12 corporate managers corporate managers 13 general managers general managers 20 professionals professionals 21 physical, mathematical and engineering science professionals physical, mathematical and engineering science professionals 22 life science and health professionals life science and health professionals 23 teaching professionals teaching professionals 24 other professionals other professionals 25 education professionals not elsewhere classified education professionals not elsewhere classified 30 technicians and related asssociate professionals technicians and related associate professionals 31 physical and engineering science associate professionals physical and engineering science associate professionals 32 life science and health associate professionals life science and health associate professionals 33 teaching associate professionals teaching associate professionals 34 other associate professionals other associate professionals 40 clerks clerks 41 office clerks office clerks 42 customer service clerks customer service clerks 50 service workers and shop and market sales workers service workers and shop and market sales workers 51 personal and protective services workers personal and protective services workers 52 models, salespersons and demonstrators models, salespersons and demonstrators 60 skilled agricultural and fishery workers skilled agricultural and fishery workers 61 market-oriented skilled agricultural and fishery workers market-oriented skilled agricultural and fishery workers 62 subsistence agricultural and fishery workers subsistence agricultural and fishery workers 70 craft and related trade workers craft and related trade workers 71 extraction and building trade workers extraction and building trade workers 72 metal, machinery and related trades workers metal, machinery and related trades workers 73 precision, handicraft, printing and related trades workers precision, handicraft, printing and related trades workers 74 other craft and related trades workers other craft and related trades workers 80 plant & machine operators & assemblers plant & machine operators & assemblers 81 stationary plant and related operators stationary plant and related operators 82 machine operators and assemblers machine operators and assemblers 83 drivers and mobile plant operators drivers and mobile plant operators 84 semiskilled workers nfs semiskilled workers nfs 90 elementary occupations elementary occupations 91 sales and services elementary occupations sales and services elementary occupations 92 agricultural, fishery and related labourers agricultural, fishery and related labourers 93 labourers in mining, construction, manufacturing and transport labourers in mining, construction, manufacturing and transport 99 not classiffied; inadequate description not classified; inadequate description Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Profession/industry chief wage earner (2 digit ISCO88) Source variable: v317 [In which profession/industry does/did he (she) work?] kind of job chief wage earner -3 digit ISCO88 code (Q107) (recoded) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 11 member of armed forces member of armed forces 110 legislators & senior officials legislators & senior officials 111 legislators legislators 112 senior government officials senior government officials 113 traditional chiefs & heads of villages traditional chiefs & heads of villages 114 senior officials special-interest organisations senior officials special-interest organisations 120 corporate managers [large enterprise] corporate managers [large enterprise] 121 directors & chief executives [large enterprise] directors & chief executives [large enterprise] 122 department managers - large departments department managers - large departments 123 other department managers [large enterprise] other department managers [large enterprise] 124 [office manager] [office manager] 125 [military officers] [military officers] 130 general managers [small enterprise] general managers [small enterprise] 131 general managers [small enterprise] general managers [small enterprise] 132 businessman/trader/entrepreneur nsf businessman/trader/entrepreneur nsf 134 134 200 professionals professionals 210 physical, mathematical & engineering science professionals physical, mathematical & engineering science professionals 211 physicists, chemists & related professionals physicists, chemists & related professionals 212 mathematicians, statisticians etc professionals mathematicians, statisticians etc professionals 213 computing professionals computing professionals 214 architects, engineers etc professionals architects, engineers etc professionals 219 219 220 life science & health professionals life science & health professionals 221 life science professionals life science professionals 222 health professionals (except nursing) health professionals (except nursing) 223 nursing & midwifery professionals nursing & midwifery professionals 230 teaching professionals teaching professionals 231 higher education teaching professionals higher education teaching professionals 232 secondary education teaching professionals secondary education teaching professionals 233 primary & pre-primary education teaching professionals primary & pre-primary education teaching professionals 234 special education teaching professionals special education teaching professionals 235 other teaching professionals other teaching professionals 240 other professionals other professionals 241 business professionals business professionals 242 legal professionals legal professionals 243 archivists, librarians etc information professionals archivists, librarians etc information professionals 244 social science etc professionals social science etc professionals 245 writers & creative or performing artists writers & creative or performing artists 246 religious professionals religious professionals 247 Public service administrative professionals (A) Public service administrative professionals (A) 250 250 300 technicians and associated professionals technicians and associated professionals 310 physical & engineering science associate professionals physical & engineering science associate professionals 311 physical & engineering science technicians physical & engineering science technicians 312 computer associate professionals computer associate professionals 313 optical & electronic equipment operators optical & electronic equipment operators 314 ship & aircraft controllers & technicians ship & aircraft controllers & technicians 315 safety & ouality inspectors safety & quality inspectors 320 life science & health associate professionals life science & health associate professionals 321 life science technicians etc associate professionals life science technicians etc associate professionals 322 modern health associate professionals except nursing modern health associate professionals except nursing 323 nursing & midwifery associate professionals nursing & midwifery associate professionals 324 traditional medicine practitioners & faith healers traditional medicine practitioners & faith healers 330 teaching associate professionals teaching associate professionals 331 primary education teaching associate professionals primary education teaching associate professionals 332 pre-primary education teaching associate professionals pre-primary education teaching associate professionals 333 special education teaching associate professionals special education teaching associate professionals 334 other teaching associate professionals other teaching associate professionals 339 339 340 other associate professionals other associate professionals 341 finance & sales associate professionals finance & sales associate professionals 342 business services agents and trade brokers business services agents and trade brokers 343 administrative associate professionals administrative associate professionals 344 customs, tax etc government associate professionals customs, tax etc government associate professionals 345 [police and army officers] [police and army officers] 346 social work associate professionals social work associate professionals 347 artistic, entertainment & sports associate professionals artistic, entertainment & sports associate professionals 348 religious associate professionals religious associate professionals 349 349 400 clerks clerks 410 office clerks office clerks 411 secretaries & keyboard-operating clerks secretaries & keyboard-operating clerks 412 numerical clerks numerical clerks 413 material-recording & transport clerks material-recording & transport clerks 414 library, mail etc clerks library, mail etc clerks 419 other office clerks other office clerks 420 customer services clerks customer services clerks 421 cashiers, tellers etc clerks cashiers, tellers etc clerks 422 client information clerks client information clerks 424 424 430 430 440 440 450 450 500 service workers & shop & market sales workers service workers & shop & market sales workers 510 personal & protective services workers personal & protective services workers 511 travel attendants etc travel attendants etc 512 housekeeping & restaurant services workers housekeeping & restaurant services workers 513 personal care etc work personal care etc work 514 other personal services workers other personal services workers 515 astrologers, fortune-tellers etc workers astrologers, fortune-tellers etc workers 516 protective services workers protective services workers 520 models, salespersons & demonstrators models, salespersons & demonstrators 521 fashion & other models fashion & other models 522 shop salespersons & demonstrators shop salespersons & demonstrators 523 stall & market salespersons stall & market salespersons 525 525 600 skilled agricultural & fishery workers skilled agricultural & fishery workers 610 market-oriented skilled agricultural & fishery workers market-oriented skilled agricultural & fishery workers 611 market gardeners & cropgrowers market gardeners & cropgrowers 612 market-oriented animal producers etc workers market-oriented animal producers etc workers 613 market-oriented crop & animal producers market-oriented crop & animal producers 614 forestry etc workers forestry etc workers 615 fishery workers, hunters & trappers fishery workers, hunters & trappers 620 subsistence agricultural & fishery workers subsistence agricultural & fishery workers 621 subsistence agricultural & fishery workers subsistence agricultural & fishery workers 700 craft etc trades workers craft etc trades workers 710 extraction & building trades workers extraction & building trades workers 711 miners, shotfirers, stone cutters & carvers miners, shotfirers, stone cutters & carvers 712 [builders] & ar trades workers [builders] & ar trades workers 713 building finishers etc trades workers building finishers etc trades workers 714 painters, building structure cleaners etc trades workers painters, building structure cleaners etc trades workers 720 metal, machinery etc trades workers metal, machinery etc trades workers 721 metal moulders, welders, sheetmetal workers metal moulders, welders, sheetmetal workers 722 blacksmiths, tool-makers etc trades workers blacksmiths, tool-makers etc trades workers 723 machinery mechanics & fitters machinery mechanics & fitters 724 electrical & electronic equipment mechanics & fitters electrical & electronic equipment mechanics & fitters 725 725 726 726 730 precision, handicraft, printing etc trades workers precision, handicraft, printing etc trades workers 731 precision workers in metal etc materials precision workers in metal etc materials 732 potters, glass-makers etc trades workers potters, glass-makers etc trades workers 733 handicraft workers in wood,textile, leather etc handicraft workers in wood,textile, leather etc 734 printing etc trades workers printing etc trades workers 740 other craft etc trades workers other craft etc trades workers 741 food processing etc trades workers food processing etc trades workers 742 wood treaters, cabinet-makers etc trades workers wood treaters, cabinet-makers etc trades workers 743 textile, garment etc trades workers textile, garment etc trades workers 744 pelt, leather & shoemaking trades workers pelt, leather & shoemaking trades workers 750 [skilled manual worker nfs] [skilled manual worker nfs] 751 [non farm foremen nfs] [non farm foremen nfs] 752 [skilled manual workers nfs] [skilled manual workers nfs] 760 760 790 790 800 plant & machine operators & assemblers plant & machine operators & assemblers 810 stationary-plant etc operators stationary-plant etc operators 811 mining- & mineral-processing plant operators mining- & mineral-processing plant operators 812 metal-processing-plant operators metal-processing-plant operators 813 glass, ceramics etc plant operators glass, ceramics etc plant operators 814 wood-processing- & papermaking-plant operators wood-processing- & papermaking-plant operators 815 chemical-processing-plant operators chemical-processing-plant operators 816 power-production etc plant operators power-production etc plant operators 817 automated-assembly-line & industrial-robot operators automated-assembly-line & industrial-robot operators 820 machine operators & assemblers machine operators & assemblers 821 metal- & mineral-products machine operators metal- & mineral-products machine operators 822 chemical-products machine operators chemical-products machine operators 823 rubber- & plastic-products machine operators rubber- & plastic-products machine operators 824 wood-products machine operators wood-products machine operators 825 printing- binding- & paper-products machine operators printing- binding- & paper-products machine operators 826 textile- fur- & leather-products machine operators textile- fur- & leather-products machine operators 827 food etc products machine operators food etc products machine operators 828 assemblers assemblers 829 other machine operators & assemblers other machine operators & assemblers 830 drivers & mobile-plant operators drivers & mobile-plant operators 831 locomotive-engine drivers etc workers locomotive-engine drivers etc workers 832 motor-vehicle drivers motor-vehicle drivers 833 agricultural & other mobile-plant operators agricultural & other mobile-plant operators 834 ships deck crews etc workers ships deck crews etc workers 900 elementary occupations elementary occupations 910 sales & services elementary occupations sales & services elementary occupations 911 street vendors etc workers street vendors etc workers 913 domestic etc helpers cleaners & launderers domestic etc helpers cleaners & launderers 914 building caretakers, window etc cleaners building caretakers, window etc cleaners 915 messengers, porters, doorkeepers etc workers messengers, porters, doorkeepers etc workers 916 garbage collectors etc labourers garbage collectors etc labourers 920 agricultural, fishery etc labourers agricultural, fishery etc labourers 921 agricultural, fishery etc labourers agricultural, fishery etc labourers 924 924 930 labourers in mining, construction, manuf. & transport labourers in mining, construction, manuf. & transport 931 mining & construction labourers mining & construction labourers 932 manufacturing labourers manufacturing labourers 933 transport labourers & freight handlers transport labourers & freight handlers 996 not classified; inadequate description Sweden: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Profession/industry chief wage earner (3 digit ISCO88) Source variable: v317 [In which profession/industry does/did he (she) work?] kind of job chief wage earner (Q108/Q109) What is/was his/her job? ............................... Write in and code below Q. 109 -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 employer/manager of establ with 10 or more employees employer/manager of establ with 10 or more employees 2 employer/manager of establ with less than 10 employees employer/manager of establ with less than 10 employees 3 professional worker (lawyer, accountant, teacher etc) professional worker (lawyer, accountant, teacher etc) 4 middle level non-manual -office worker etc middle level non-manual -office worker etc 5 junior level non-manual -office worker etc junior level non-manual -office worker etc 6 foreman and supervisor foreman and supervisor 7 skilled manual worker skilled manual worker 8 semi-skilled manual worker semi-skilled manual worker 9 unskilled manual worker unskilled manual worker 10 farmer: employer, manager or own account farmer: employer, manager or own account 11 agricultural worker agricultural worker 12 member of armed forces member of armed forces 13 never had a job never had a job Denmark, Turkey: None of the respondents with v316=2 has been asked v318. Finland: Question dropped; information came from a register maintained by the data collector. Germany: Some chief wage earners (housewives, students, unemployed, 'other', 'na' according to v316) have not been asked v318. Ireland and Northern Ireland: dropped from questionnaire; information reconstituted. Italy: additional answer category 13 collapsed with category 2; category 14 recoded into code 13 of the Master Questionnaire. Netherlands: Correct filter for v315 and v316; but: empirically none of the respondents with v315=2 and v316=2/-2 has a valid code on v318. Q. 108 Open-ended question income household respondent (Q110) Ask all; show income card Here is a scale of incomes and we would like to know in what group your household is, counting all wages, salaries, pensions and other incomes that come in. Just give the letter of the group your household falls into, after taxes and other deductions. -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 low low 10 high high 2 3 4 5 6 7 8 9 Austria: Different question format (Austrian questionnaire offers 25 by currency labelled income categories); question adapted to the Master Questionnaire. Bulgaria, Croatia, Estonia, Iceland, Ireland, Italy, Latvia, Netherlands, Northern Ireland, Slovakia, and Turkey: Categories labelled by national currency. Denmark: Income was measured on an open scale; the distribution has been adapted to the 10 categories of the Master Questionnaire by taking into account the income distribution of Denmark. Germany: Income was measured on an 11 point scale offering 1000 DM intervals; the upper 2 categories have been collapsed (together less than 20 respondents). Lithuania: Income was measured on an 20 point scale offering different by national currency labelled income intervals; the distribution has been adapted to the 10 categories of the Master Questionnaire by Lithuania. Luxembourg: Income was measured on an 25 point scale offering different by national currency labelled income intervals; categories have been adapted to the Master Questionnaire by Luxembourg. Malta: Additional filter question placed before v320 (respondents with difficulties to answer v320 have not been asked for their income); fixed values instead of value ranges offered. Portugal: Income was measured on a 6 point scale labelled by national currency. Therefore it is not harmonized (coded as -5 'other missing'). For country specific information and original categories see v320_cs. Romania: Income was measured on an open scale; the distribution has been adapted to the 10 categories of the Master Questionnaire by Romania. Slovenia: Income was measured on an open scale; the distribution has been adapted to the 10 categories of the Master Questionnaire by taking into account the income distribution of Slovenia. Sweden: Income was measured on an 11 point scale offering 5000 kr intervals. Incomes in ten categories from 10% lowest to 10% highest income category. Income was measured on different scales labelled by national currency, the distributions have been adapted to the 10 categories of the Master Questionnaire; for the original income variables of the national data sets see v320_CS; income household respondent (Q110)(recoded) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 low low 2 medium medium 3 high high Trend question: EVS 2008 and EVS 1999. Income level - recoded (3 categories) Source variable: v320 [Here is a scale of incomes and we would like to know in what group your household is, counting all wages, salaries, pensions and other incomes that come in. Just give the letter of the group your household falls into, after taxes and other deductions.] Monthly household income (x1000), corrected for ppp in euros -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know Trend question: EVS 2008 and EVS 1999. Sources GDP (purchasing power parity): http://www.imf.org/external/ns/cs.aspx?id=28 http://data.worldbank.org/ Sources Exchange rates: http://www.ecb.int/home/html/index.en.html http://www.oanda.com/ Date: Calculation of the PPP rates and the exchange rates is based on the year of the fieldwork. Monthly household income in Euros corrected for purchasing power parity For each country, the national currency is converted into Euros and corrected for purchasing power parity (PPP). PPP is derived from the IMF World Economic Outlook Database (October 2008 Edition). The mean exchange rate was calculated over the survey period. The exchange rates were taken from OANDA - Forex Trading and Exchange Rates Services (we used the 'bid' interbank exchange rate) for the countries Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, France, Germany, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Malta, Netherlands, Portugal, Russia, Slovakia, Slovenia, Spain, Sweden, and Turkey. For Northern Ireland the exchange rates came from the European Central Bank. Information on income was missing for the countries Belarus, Finland, Hungary, Luxembourg, Poland, Romania, Great Britain, Ukraine. To construct a linear income variable, the mid-points of the country specific categories were taken; for the first category, the mid-point is its upper bound minus half the range of the second category, e.g., if (1) <500 Euro and (2) 500-800 Euro, then the mid-point of the first category is: 500-(800-500)/2=350 Euro. To compute the mid-point of the last category, an equal range for the last and the penultimate category was assumed, e.g., if (one but last category) 7.500-10.000 Euro and (last category) >10.000 Euro, then the mid-point of the last category is: 10.000+(2.500/2)=11.250 Euro. income household respondent (Q110) (country specific) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 4000 AT: Less than 6,000 Schillings (OS) per month AT: Less than 6,000 Schillings (OS) per month 4001 AT: 6,000 - 7,999 OS AT: 6,000 - 7,999 OS 4002 AT: 8,000 - 9,999 OS AT: 8,000 - 9,999 OS 4003 AT: 10,000 - 11,999 OS AT: 10,000 - 11,999 OS 4004 AT: 12,000 - 13,999 OS AT: 12,000 - 13,999 OS 4005 AT: 14,000 - 15,999 OS AT: 14,000 - 15,999 OS 4006 AT: 16,000 - 17,999 OS AT: 16,000 - 17,999 OS 4007 AT: 18,000 - 19,999 OS AT: 18,000 - 19,999 OS 4008 AT: 20,000 - 21,999 OS AT: 20,000 - 21,999 OS 4009 AT: 22,000 - 23,999 OS AT: 22,000 - 23,999 OS 4010 AT: 24,000 - 25,999 OS AT: 24,000 - 25,999 OS 4011 AT: 26,000 - 27,999 OS AT: 26,000 - 27,999 OS 4012 AT: 28,000 - 29,999 OS AT: 28,000 - 29,999 OS 4013 AT: 30,000 - 31,999 OS AT: 30,000 - 31,999 OS 4014 AT: 32,000 - 35,999 OS AT: 32,000 - 35,999 OS 4015 AT: 36,000 - 39,999 OS AT: 36,000 - 39,999 OS 4016 AT: 40,000 - 43,999 OS AT: 40,000 - 43,999 OS 4017 AT: 44,000 - 47,999 OS AT: 44,000 - 47,999 OS 4018 AT: 48,000 - 51,999 OS AT: 48,000 - 51,999 OS 4019 AT: 52,000 - 55,999 OS AT: 52,000 - 55,999 OS 4020 AT: 56,000 - 69,999 OS AT: 56,000 - 69,999 OS 4021 AT: 60,000 - 63,999 OS AT: 60,000 - 63,999 OS 4022 AT: 64,000 - 67,999 OS AT: 64,000 - 67,999 OS 4023 AT: 68,000 - 71,999 OS AT: 68,000 - 71,999 OS 4024 AT: 72,000 OS and more AT: 72,000 OS and more 5601 BE: 25,000-29,999 Belgian francs per year BE: 25,000-29,999 Belgian francs per year 5602 BE: 30,000-34,999 francs BE: 30,000-34,999 francs 5603 BE: 35,000-39,999 francs BE: 35,000-39,999 francs 5604 BE: 40,000-49,999 francs BE: 40,000-49,999 francs 5605 BE: 50,000-59,999 francs BE: 50,000-59,999 francs 5606 BE: 60,000-69,999 francs BE: 60,000-69,999 francs 5607 BE: 70,000-79,999 francs BE: 70,000-79,999 francs 5608 BE: 80,000-99,999 francs BE: 80,000-99,999 francs 5609 BE: 100,000-119,999 francs BE: 100,000-119,999 francs 5610 BE: 120,000 francs per year and over BE: 120,000 francs per year and over 10001 BG: 105.000 leva or less BG: 105.000 leva or less 10002 BG: 105.000 leva to 130.000 leva BG: 105.000 leva to 130.000 leva 10003 BG: 130.000 leva to 150.000 leva BG: 130.000 leva to 150.000 leva 10004 BG: 150.000 leva to 170.000 leva BG: 150.000 leva to 170.000 leva 10005 BG: 170.000 leva to 200.000 leva BG: 170.000 leva to 200.000 leva 10006 BG: 200.000 leva to 230.000 leva BG: 200.000 leva to 230.000 leva 10007 BG: 230.000 leva to 270.000 leva BG: 230.000 leva to 270.000 leva 10008 BG: 270.000 leva to 330.000 leva BG: 270.000 leva to 330.000 leva 10009 BG: 330.000 leva to 480.000 leva BG: 330.000 leva to 480.000 leva 10010 BG: more than 480.000 leva BG: more than 480.000 leva 11201 BY: First decile BY: First decile 11202 BY: Second decile BY: Second decile 11203 BY: Third decile BY: Third decile 11204 BY: Fourth decile BY: Fourth decile 11205 BY: Fifth decile BY: Fifth decile 11206 BY: Sixth decile BY: Sixth decile 11207 BY: Seventh decile BY: Seventh decile 11208 BY: Eighth decile BY: Eighth decile 11209 BY: Ninth decile BY: Ninth decile 11210 BY: Tenth decile BY: Tenth decile 19101 HR: 500 kuna or less HR: 500 kuna or less 19102 HR: 500 to 2.000 kuna HR: 500 to 2.000 kuna 19103 HR: 2.001 to 3.500 kuna HR: 2.001 to 3.500 kuna 19104 HR: 3.501 to 5.000 kuna HR: 3.501 to 5.000 kuna 19105 HR: 5.001 to 6.500 kuna HR: 5.001 to 6.500 kuna 19106 HR: 6.501 to 8.000 kuna HR: 6.501 to 8.000 kuna 19107 HR: 8.001 to 9.500 kuna HR: 8.001 to 9.500 kuna 19108 HR: 9.501 to 11.000 kuna HR: 9.501 to 11.000 kuna 19109 HR: 11.001 to 12.500 kuna HR: 11.001 to 12.500 kuna 19110 HR: more than 12.500 kuna HR: more than 12.500 kuna 20301 CZ: 1 to 8500 Koruny CZ: 1 to 8500 Koruny 20302 CZ: 8501-10 500 Koruny CZ: 8501-10 500 Koruny 20303 CZ: 10 501-12 500 Koruny CZ: 10 501-12 500 Koruny 20304 CZ: 12 501-14 000 Koruny CZ: 12 501-14 000 Koruny 20305 CZ: 14 001-16 000 Koruny CZ: 14 001-16 000 Koruny 20306 CZ: 16 001-17 500 Koruny CZ: 16 001-17 500 Koruny 20307 CZ: 17 501-20 000 Koruny CZ: 17 501-20 000 Koruny 20308 CZ: 20 001-23 500 Koruny CZ: 20 001-23 500 Koruny 20309 CZ: 23 501-29 000 Koruny CZ: 23 501-29 000 Koruny 20310 CZ: more than 29 001 Koruny CZ: more than 29 001 Koruny 20801 DK: 0-124500 kroner DK: 0-124500 kroner 20802 DK: 124501-190000 kroner DK: 124501-190000 kroner 20803 DK: 190001-250000 kroner DK: 190001-250000 kroner 20804 DK: 250001-300000 kroner DK: 250001-300000 kroner 20805 DK: 300001-390000 kroner DK: 300001-390000 kroner 20806 DK: 390001-420000 kroner DK: 390001-420000 kroner 20807 DK: 420001-500000 kroner DK: 420001-500000 kroner 20808 DK: 500001-550000 kroner DK: 500001-550000 kroner 20809 DK: 550001-650000 kroner DK: 550001-650000 kroner 20810 DK: More than 650000 kroner DK: More than 650000 kroner 23301 EE: until 1250 Kroon EE: until 1250 Kroon 23302 EE: 1251- 2000 Kroon EE: 1251- 2000 Kroon 23303 EE: 2001 -3000 Kroon EE: 2001 -3000 Kroon 23304 EE: 3001 -4000 Kroon EE: 3001 -4000 Kroon 23305 EE: 4001 -5000 Kroon EE: 4001 -5000 Kroon 23306 EE: 5001 -6000 Kroon EE: 5001 -6000 Kroon 23307 EE: 6001 -7000 Kroon EE: 6001 -7000 Kroon 23308 EE: 7001 -8000 Kroon EE: 7001 -8000 Kroon 23309 EE: 8001 -10000 Kroon EE: 8001 -10000 Kroon 23310 EE: over 10000 Kroon EE: over 10000 Kroon 24601 FI: First decile FI: First decile 24602 FI: Second decile FI: Second decile 24603 FI: Third decile FI: Third decile 24604 FI: Fourth decile FI: Fourth decile 24605 FI: Fifth decile FI: Fifth decile 24606 FI: Sixth decile FI: Sixth decile 24607 FI: Seventh decile FI: Seventh decile 24608 FI: Eighth decile FI: Eighth decile 24609 FI: Ninth decile FI: Ninth decile 24610 FI: Tenth decile FI: Tenth decile 25001 FR: 60.000 Francs or less FR: 60.000 Francs or less 25002 FR: 60.000 to 85.000 Francs FR: 60.000 to 85.000 Francs 25003 FR: 85.000 to 105.000 Francs FR: 85.000 to 105.000 Francs 25004 FR: 105.000 to 125.000 Francs FR: 105.000 to 125.000 Francs 25005 FR: 125.000 to 150.000 Francs FR: 125.000 to 150.000 Francs 25006 FR: 150.000 to 180.000 Francs FR: 150.000 to 180.000 Francs 25007 FR: 180.000 to 215.000 Francs FR: 180.000 to 215.000 Francs 25008 FR: 215.000 to 260.000 Francs FR: 215.000 to 260.000 Francs 25009 FR: 260.000 to 340.000 Francs FR: 260.000 to 340.000 Francs 25010 FR: more than 340.000 Francs FR: more than 340.000 Francs 27601 DE: less than 1.000 DM DE: less than 1.000 DM 27602 DE: 1.000-2.000 DM DE: 1.000-2.000 DM 27603 DE: 2.000-3.000 DM DE: 2.000-3.000 DM 27604 DE: 3.000-4.000 DM DE: 3.000-4.000 DM 27605 DE: 4.000-5.000 DM DE: 4.000-5.000 DM 27606 DE: 5.000-6.000 DM DE: 5.000-6.000 DM 27607 DE: 6.000-7.000 DM DE: 6.000-7.000 DM 27608 DE: 7.000-8.000 DM DE: 7.000-8.000 DM 27609 DE: 8.000-9.000 DM DE: 8.000-9.000 DM 27610 DE: 9.000-10.000 DM DE: 9.000-10.000 DM 27611 DE: 10.000 DM and more DE: 10.000 DM and more 30001 GR: 1.600.000 drachmae or less GR: 1.600.000 drachmae or less 30002 GR: From 1.700.000 drachmae up to 3.200.000 drachmae GR: From 1.700.000 drachmae up to 3.200.000 drachmae 30003 GR: From 3.300.000 drachmae up to 4.200.000 drachmae GR: From 3.300.000 drachmae up to 4.200.000 drachmae 30004 GR: From 4.300.000 drachmae up to 5.200.000 drachmae GR: From 4.300.000 drachmae up to 5.200.000 drachmae 30005 GR: From 5.300.000 drachmae up to 6.200.000 drachmae GR: From 5.300.000 drachmae up to 6.200.000 drachmae 30006 GR: From 6.300.000 drachmae up to 8.300.000 drachmae GR: From 6.300.000 drachmae up to 8.300.000 drachmae 30007 GR: From 8.400.000 drachmae up to 10.400.000 drachmae GR: From 8.400.000 drachmae up to 10.400.000 drachmae 30008 GR: From 10.500.000 drachmae up to 12.500.000 drachmae GR: From 10.500.000 drachmae up to 12.500.000 drachmae 30009 GR: From 12.600.000 drachmae up to 14.500.000 drachmae GR: From 12.600.000 drachmae up to 14.500.000 drachmae 30010 GR: 14.600.000 drachmae or more GR: 14.600.000 drachmae or more 34801 HU: First decile HU: First decile 34802 HU: Second decile HU: Second decile 34803 HU: Third decile HU: Third decile 34804 HU: Fourth decile HU: Fourth decile 34805 HU: Fifth decile HU: Fifth decile 34806 HU: Sixth decile HU: Sixth decile 34807 HU: Seventh decile HU: Seventh decile 34808 HU: Eighth decile HU: Eighth decile 34809 HU: Ninth decile HU: Ninth decile 34810 HU: Tenth decile HU: Tenth decile 35201 IS: 0- 70 Krona IS: 0- 70 Krona 35202 IS: 71- 105 Krona IS: 71- 105 Krona 35203 IS: 106- 140 Krona IS: 106- 140 Krona 35204 IS: 141- 175 Krona IS: 141- 175 Krona 35205 IS: 176- 210 Krona IS: 176- 210 Krona 35206 IS: 211- 245 Krona IS: 211- 245 Krona 35207 IS: 246- 280 Krona IS: 246- 280 Krona 35208 IS: 281- 315 Krona IS: 281- 315 Krona 35209 IS: 316- 350 Krona IS: 316- 350 Krona 35210 IS: 351 or more IS: 351 or more 37201 IE: Under 3000 pounds per annum IE: Under 3000 pounds per annum 37202 IE: 3000- 3999 pounds per annum IE: 3000- 3999 pounds per annum 37203 IE: 4000- 6999 pounds per annum IE: 4000- 6999 pounds per annum 37204 IE: 7000- 9999 pounds per annum IE: 7000- 9999 pounds per annum 37205 IE: 10000-14999 pounds per annum IE: 10000-14999 pounds per annum 37206 IE: 15000-19999 pounds per annum IE: 15000-19999 pounds per annum 37207 IE: 20000-25999 pounds per annum IE: 20000-25999 pounds per annum 37208 IE: 26000-29999 pounds per annum IE: 26000-29999 pounds per annum 37209 IE: 30000-39999 pounds per annum IE: 30000-39999 pounds per annum 37210 IE: 40000 or more pounds per annum IE: 40000 or more pounds per annum 38001 IT: less then 19 million Lira IT: less then 19 million Lira 38002 IT: 19 - 24 million Lira IT: 19 - 24 million Lira 38003 IT: 24 - 28 million Lira IT: 24 - 28 million Lira 38004 IT: 28 - 33 million Lira IT: 28 - 33 million Lira 38005 IT: 33 - 39 million Lira IT: 33 - 39 million Lira 38006 IT: 39 - 45 million Lira IT: 39 - 45 million Lira 38007 IT: 45 - 51 million Lira IT: 45 - 51 million Lira 38008 IT: 51 - 61 million Lira IT: 51 - 61 million Lira 38009 IT: 61 - 76 million Lira IT: 61 - 76 million Lira 38010 IT: more than 76 million Lira IT: more than 76 million Lira 42801 LV: 0-50 Lats LV: 0-50 Lats 42802 LV: 51-100 Lats LV: 51-100 Lats 42803 LV: 101-150 Lats LV: 101-150 Lats 42804 LV: 151-200 Lats LV: 151-200 Lats 42805 LV: 201-300 Lats LV: 201-300 Lats 42806 LV: 301-400 Lats LV: 301-400 Lats 42807 LV: 401-500 Lats LV: 401-500 Lats 42808 LV: 501-600 Lats LV: 501-600 Lats 42809 LV: 601-800 Lats LV: 601-800 Lats 42810 LV: More than 800 Lats LV: More than 800 Lats 44001 LT: up to 200 lt LT: up to 200 lt 44002 LT: 201-300 lt LT: 201-300 lt 44003 LT: 301-400 lt LT: 301-400 lt 44004 LT: 401-500 lt LT: 401-500 lt 44005 LT: 501-600 lt LT: 501-600 lt 44006 LT: 601-700 lt LT: 601-700 lt 44007 LT: 701-800 lt LT: 701-800 lt 44008 LT: 801-900 lt LT: 801-900 lt 44009 LT: 901-1000 lt LT: 901-1000 lt 44010 LT: 1001-1200 lt LT: 1001-1200 lt 44011 LT: 1201-1400 lt LT: 1201-1400 lt 44012 LT: 1401-1600 lt LT: 1401-1600 lt 44013 LT: 1601-1800 lt LT: 1601-1800 lt 44014 LT: 1801-2000 lt LT: 1801-2000 lt 44015 LT: 2001-2500 lt LT: 2001-2500 lt 44016 LT: 2501-3000 lt LT: 2501-3000 lt 44017 LT: 3001-5000 lt LT: 3001-5000 lt 44018 LT: 3501-4000 lt LT: 3501-4000 lt 44019 LT: 4001-5000 lt LT: 4001-5000 lt 44020 LT: Over 5000 lt LT: Over 5000 lt 44201 LU: First decile LU: First decile 44202 LU: Second decile LU: Second decile 44203 LU: Third decile LU: Third decile 44204 LU: Fourth decile LU: Fourth decile 44205 LU: Fifth decile LU: Fifth decile 44206 LU: Sixth decile LU: Sixth decile 44207 LU: Seventh decile LU: Seventh decile 44208 LU: Eighth decile LU: Eighth decile 44209 LU: Ninth decile LU: Ninth decile 44210 LU: Tenth decile LU: Tenth decile 47001 MT: less than Lira 1000 MT: less than Lira 1000 47002 MT: Lira 2000 MT: Lira 2000 47003 MT: Lira 3000 MT: Lira 3000 47004 MT: Lira 4000 MT: Lira 4000 47005 MT: Lira 5000 MT: Lira 5000 47006 MT: Lira 6000 MT: Lira 6000 47007 MT: Lira 7000 MT: Lira 7000 47008 MT: Lira 8000 MT: Lira 8000 47009 MT: Lira 9000 MT: Lira 9000 47010 MT: more than Lira 10.000 MT: more than Lira 10.000 52801 NL: 1000 guilders or less per month NL: 1000 guilders or less per month 52802 NL: 1000 up to 1499 guilders NL: 1000 up to 1499 guilders 52803 NL: 1500 up to 1999 guilders NL: 1500 up to 1999 guilders 52804 NL: 2000 up to 2499 guilders NL: 2000 up to 2499 guilders 52805 NL: 2500 up to 2999 guilders NL: 2500 up to 2999 guilders 52806 NL: 3000 up to 3999 guilders NL: 3000 up to 3999 guilders 52807 NL: 4000 up to 4999 guilders NL: 4000 up to 4999 guilders 52808 NL: 5000 up to 5999 guilders NL: 5000 up to 5999 guilders 52809 NL: 6000 up to 6999 guilders NL: 6000 up to 6999 guilders 52810 NL: 7000 guilders or more per month NL: 7000 guilders or more per month 61601 PL: First decile PL: First decile 61602 PL: Second decile PL: Second decile 61603 PL: Third decile PL: Third decile 61604 PL: Fourth decile PL: Fourth decile 61605 PL: Fifth decile PL: Fifth decile 61606 PL: Sixth decile PL: Sixth decile 61607 PL: Seventh decile PL: Seventh decile 61608 PL: Eighth decile PL: Eighth decile 61609 PL: Ninth decile PL: Ninth decile 61610 PL: Tenth decile PL: Tenth decile 62001 PT: 0-30,000 Esc PT: 0-30,000 Esc 62002 PT: 31-60,000 Esc PT: 31-60,000 Esc 62003 PT: 61-100,000 Esc PT: 61-100,000 Esc 62004 PT: 101-160,000 Esc PT: 101-160,000 Esc 62005 PT: 161-300,000 Esc PT: 161-300,000 Esc 62006 PT: > 300,000 Esc PT: > 300,000 Esc 64201 RO: First decile RO: First decile 64202 RO: Second decile RO: Second decile 64203 RO: Third decile RO: Third decile 64204 RO: Fourth decile RO: Fourth decile 64205 RO: Fifth decile RO: Fifth decile 64206 RO: Sixth decile RO: Sixth decile 64207 RO: Seventh decile RO: Seventh decile 64208 RO: Eighth decile RO: Eighth decile 64209 RO: Ninth decile RO: Ninth decile 64210 RO: Tenth decile RO: Tenth decile 64301 RU: less than 350 Rubles RU: less than 350 Rubles 64302 RU: 351 - 400 Rubles RU: 351 - 400 Rubles 64303 RU: 401 - 500 Rubles RU: 401 - 500 Rubles 64304 RU: 501 - 700 Rubles RU: 501 - 700 Rubles 64305 RU: 701 - 800 Rubles RU: 701 - 800 Rubles 64306 RU: 801 - 1000 Rubles RU: 801 - 1000 Rubles 64307 RU: 1001 - 1300 Rubles RU: 1001 - 1300 Rubles 64308 RU: 1301 - 1700 Rubles RU: 1301 - 1700 Rubles 64309 RU: 1701 - 2500 Rubles RU: 1701 - 2500 Rubles 64310 RU: more than 2500 Rubles RU: more than 2500 Rubles 70301 SK: 5.999 Sk mesacne or less SK: 5.999 Sk mesacne or less 70302 SK: 6.000 to 7.999 Sk mesacne SK: 6.000 to 7.999 Sk mesacne 70303 SK: 8.000 to 8.999 Sk mesacne SK: 8.000 to 8.999 Sk mesacne 70304 SK: 9.000 to 10.999 Sk mesacne SK: 9.000 to 10.999 Sk mesacne 70305 SK: 11.000 to 11.999 Sk mesacne SK: 11.000 to 11.999 Sk mesacne 70306 SK: 12.000 to 13.999 Sk mesacne SK: 12.000 to 13.999 Sk mesacne 70307 SK: 14.000 to 15.999 Sk mesacne SK: 14.000 to 15.999 Sk mesacne 70308 SK: 16.000 to 17.999 Sk mesacne SK: 16.000 to 17.999 Sk mesacne 70309 SK: 18.000 to 20.999 Sk mesacne SK: 18.000 to 20.999 Sk mesacne 70310 SK: 21.000 Sk mesacne or more SK: 21.000 Sk mesacne or more 70501 SI: 1.000 to 77.000 Tolars per month SI: 1.000 to 77.000 Tolars per month 70502 SI: 76.000 to 100.000 Tolars per month SI: 76.000 to 100.000 Tolars per month 70503 SI: 101.000 to 126.000 Tolars per month SI: 101.000 to 126.000 Tolars per month 70504 SI: 127.000 to 150.000 Tolars per month SI: 127.000 to 150.000 Tolars per month 70505 SI: 151.000 to 180.000 Tolars per month SI: 151.000 to 180.000 Tolars per month 70506 SI: 181.000 to 200.000 Tolars per month SI: 181.000 to 200.000 Tolars per month 70507 SI: 201.000 to 250.000 Tolars per month SI: 201.000 to 250.000 Tolars per month 70508 SI: 251.000 to 300.000 Tolars per month SI: 251.000 to 300.000 Tolars per month 70509 SI: 301.000 to 396.000 Tolars per month SI: 301.000 to 396.000 Tolars per month 70510 SI: 397.000 Tolars per month or more SI: 397.000 Tolars per month or more 72401 ES: 75.000 pesetas or less ES: 75.000 pesetas or less 72402 ES: 75.001 to 100.000 pesetas ES: 75.001 to 100.000 pesetas 72403 ES: 100.001 to 130.000 pesetas ES: 100.001 to 130.000 pesetas 72404 ES: 130.001 to 160.000 pesetas ES: 130.001 to 160.000 pesetas 72405 ES: 160.001 to 200.000 pesetas ES: 160.001 to 200.000 pesetas 72406 ES: 200.001 to 250.000 pesetas ES: 200.001 to 250.000 pesetas 72407 ES: 250.001 to 300.000 pesetas ES: 250.001 to 300.000 pesetas 72408 ES: 300.001 to 400.000 pesetas ES: 300.001 to 400.000 pesetas 72409 ES: 400.001 to 500.000 pesetas ES: 400.001 to 500.000 pesetas 72410 ES: more than 500.000 pesetas ES: more than 500.000 pesetas 75201 SE: 5.000 kr or less SE: 5.000 kr or less 75202 SE: 5.001 to 10.000 kr SE: 5.001 to 10.000 kr 75203 SE: 10.001 to 15.000 kr SE: 10.001 to 15.000 kr 75204 SE: 15.001 to 20.000 kr SE: 15.001 to 20.000 kr 75205 SE: 20.001 to 25.000 kr SE: 20.001 to 25.000 kr 75206 SE: 25.001 to 30.000 kr SE: 25.001 to 30.000 kr 75207 SE: 30.000 to 35.000 kr SE: 30.000 to 35.000 kr 75208 SE: 35.001 to 40.000 kr SE: 35.001 to 40.000 kr 75209 SE: 40.001 to 45.000 kr SE: 40.001 to 45.000 kr 75210 SE: 45.001 to 50.000 kr SE: 45.001 to 50.000 kr 75211 SE: 50.000 or more SE: 50.000 or more 79201 TR: lt 100 mil TR: lt 100 mil 79202 TR: 100-200 mil TR: 100-200 mil 79203 TR: 200-300 mil TR: 200-300 mil 79204 TR: 300-500 mil TR: 300-500 mil 79205 TR: 500-750 mil TR: 500-750 mil 79206 TR: 750 mil-1 milyar TR: 750 mil-1 milyar 79207 TR: 1-1.5 milyar TR: 1-1.5 milyar 79208 TR: 1.5-2 milyar TR: 1.5-2 milyar 79209 TR: 2-3 milyar TR: 2-3 milyar 79210 TR: 3 milyar and more TR: 3 milyar and more 80401 UA: First decile UA: First decile 80402 UA: Second decile UA: Second decile 80403 UA: Third decile UA: Third decile 80404 UA: Fourth decile UA: Fourth decile 80405 UA: Fifth decile UA: Fifth decile 80406 UA: Sixth decile UA: Sixth decile 80407 UA: Seventh decile UA: Seventh decile 80408 UA: Eighth decile UA: Eighth decile 80409 UA: Ninth decile UA: Ninth decile 80410 UA: Tenth decile UA: Tenth decile 82601 GB-GBN: Low GB-GBN: Low 82602 GB-GBN: 2 GB-GBN: 2 82603 GB-GBN: 3 GB-GBN: 3 82604 GB-GBN: 4 GB-GBN: 4 82605 GB-GBN: 5 GB-GBN: 5 82606 GB-GBN: 6 GB-GBN: 6 82607 GB-GBN: 7 GB-GBN: 7 82608 GB-GBN: 8 GB-GBN: 8 82609 GB-GBN: 9 GB-GBN: 9 82610 GB-GBN: High GB-GBN: High 90901 GB-NIR: under 3000 pounds GB-NIR: under 3000 pounds 90902 GB-NIR: 3,000 - 3,999 pounds GB-NIR: 3,000 - 3,999 pounds 90903 GB-NIR: 4,000 - 6,999 pounds GB-NIR: 4,000 - 6,999 pounds 90904 GB-NIR: 7,000 - 9,999 pounds GB-NIR: 7,000 - 9,999 pounds 90905 GB-NIR: 10,000 - 14,999 pounds GB-NIR: 10,000 - 14,999 pounds 90906 GB-NIR: 15,000 - 19,999 pounds GB-NIR: 15,000 - 19,999 pounds 90907 GB-NIR: 20,000 - 25,999 pounds GB-NIR: 20,000 - 25,999 pounds 90908 GB-NIR: 26,000 - 29,999 pounds GB-NIR: 26,000 - 29,999 pounds 90909 GB-NIR: 30,000 - 39,999 pounds GB-NIR: 30,000 - 39,999 pounds 90910 GB-NIR: 40,000 pounds + per annum GB-NIR: 40,000 pounds + per annum Belarus, Finland, Hungary, Luxembourg, Poland, Romania, and Ukraine: No detailed information on country specific income (in respecitve country currency) available. For information on income for these countries please use v320 (variable for standardized income: 1=low to 10=high). Standardized country-specific variable containing country ISO 3166-1 identifier (CCC) and country-specific categories (income). Original income variable of the national data sets. Income country specific [Q.110: Here is a scale of incomes and we would like to know in what group your household is, counting all wages, salaries, pensions and other incomes that come in. Just give the letter of the group your household falls into, after taxes and other deductions.] family savings during past year (Q268_SE) During the past year, did your family: -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: save money SE: save money 2 SE: just get by SE: just get by 3 SE: spent some savings and borrowed money SE: spent some savings and borrowed money 4 SE: spent savings and borrowed money SE: spent savings and borrowed money Sweden: Field questionnaire for EVS 1999 contains 26 variables additionally implemented for World Value Survey. social class (Q269_SE) (subjective) People sometimes describe themselves as belonging to the working class, the middle class, or the upper or lower class. Would you describe yourself as belonging to the: -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 SE: upper class SE: upper class 2 SE: upper middle class SE: upper middle class 3 SE: lower middle class SE: lower middle class 4 SE: working class SE: working class 5 SE: lower class SE: lower class Sweden: Original variable provided by the World Value Survey. In the Swedish questionnaire the upper and the upper-middle class have been distinguished; in variable o49 both categories have been collapsed to adapt the Swedish question to the Master Questionnaire. size of town where interview was conducted (Q112) Size of town -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 under 2000 under 2000 2 2-5000 2-5000 3 5-10000 5-10000 4 10-20000 10-20000 5 20-50000 20-50000 6 50-100000 50-100000 7 100-500000 100-500000 8 500000 and more 500.000 and more Ireland and Northern Ireland: Additional answer category 'open countryside' collapsed with the first answer category of the Master Questionnaire. Ukraine: Different question format (type of settlement). Adapted to Master Questionnaire for integration. Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v232), WVS 2000 (v241). region where interview was conducted (Q113) Region: Please write in ......................... (code + label) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 40001 AT: Vorarlberg AT: Vorarlberg 40002 AT: Tirol AT: Tirol 40003 AT: Salzburg AT: Salzburg 40004 AT: Oberoesterreich AT: Oberoesterreich 40005 AT: Kaernten AT: Kaernten 40006 AT: Steiermark AT: Steiermark 40007 AT: Burgenland AT: Burgenland 40008 AT: Niederoesterreich AT: Niederoesterreich 40009 AT: Vienna AT: Vienna 56001 BE: ANTWERPEN BE: ANTWERPEN 56002 BE: VLAAMS BRABANT BE: VLAAMS BRABANT 56003 BE: BRUSSEL BE: BRUSSEL 56004 BE: WEST-VLAANDEREN BE: WEST-VLAANDEREN 56005 BE: OOST-VLAANDEREN BE: OOST-VLAANDEREN 56006 BE: LIMBURG BE: LIMBURG 56007 BE: WAALS BRABANT BE: WAALS BRABANT 56008 BE: HENEGOUWEN BE: HENEGOUWEN 56009 BE: NAMEN BE: NAMEN 56010 BE: LUXEMBURG BE: LUXEMBURG 56011 BE: LUIK BE: LUIK 100001 BG: Blagoevgrad BG: Blagoevgrad 100002 BG: Razlog BG: Razlog 100003 BG: Varna BG: Varna 100004 BG: Veliko Tarnovo BG: Veliko Tarnovo 100005 BG: Vidin BG: Vidin 100006 BG: Vtatsa BG: Vtatsa 100007 BG: Gabrovo BG: Gabrovo 100008 BG: Dobrich BG: Dobrich 100009 BG: Kardjali BG: Kardjali 100010 BG: Kyustendil BG: Kyustendil 100011 BG: Lovech BG: Lovech 100012 BG: Montana BG: Montana 100013 BG: Pazardjik BG: Pazardjik 100014 BG: Pernik BG: Pernik 100015 BG: Pleven BG: Pleven 100016 BG: Plovdiv BG: Plovdiv 100017 BG: Razgrad BG: Razgrad 100018 BG: Ruse BG: Ruse 100019 BG: Silistra BG: Silistra 100021 BG: Smolian BG: Smolian 100022 BG: Sofia-city BG: Sofia-city 100024 BG: Stara Zagora BG: Stara Zagora 100025 BG: Targovishte BG: Targovishte 100026 BG: Haskovo BG: Haskovo 100027 BG: Shumen BG: Shumen 100028 BG: Yambol BG: Yambol 112001 BY: Minsk and Minsk oblast BY: Minsk and Minsk oblast 112002 BY: Brest oblast BY: Brest oblast 112003 BY: Vitebsk oblast BY: Vitebsk oblast 112004 BY: Gomel oblast BY: Gomel oblast 112005 BY: Grodno oblast BY: Grodno oblast 112006 BY: Mogilev oblast BY: Mogilev oblast 191001 HR: County of Zagreb HR: County of Zagreb 191002 HR: County of Zagorje HR: County of Zagorje 191003 HR: County of Sisak and Moslavina HR: County of Sisak and Moslavina 191004 HR: County of Karlovac HR: County of Karlovac 191005 HR: County of Varazdin HR: County of Varazdin 191006 HR: County of Koprivnica & Krizevci HR: County of Koprivnica & Krizevci 191007 HR: County of Bjelovar & Bilogora HR: County of Bjelovar & Bilogora 191008 HR: County of Primorje and Gorski Kotar HR: County of Primorje and Gorski Kotar 191009 HR: County of Lika and Senj HR: County of Lika and Senj 191010 HR: County of Virovitica and Podravina HR: County of Virovitica and Podravina 191011 HR: County of Pozega HR: County of Pozega 191012 HR: County of Brod and Posavina HR: County of Brod and Posavina 191013 HR: County of Zadar and Knin HR: County of Zadar and Knin 191014 HR: County of Osijek and Baranja HR: County of Osijek and Baranja 191015 HR: County of Sibenik HR: County of Sibenik 191016 HR: County of Vukovar and Srijem HR: County of Vukovar and Srijem 191017 HR: County of Split and Dalmatia HR: County of Split and Dalmatia 191018 HR: County of Istria HR: County of Istria 191019 HR: County of Dubrovnik and Neretva HR: County of Dubrovnik and Neretva 191020 HR: County of Medjimurje HR: County of Medjimurje 191021 HR: City of Zagreb HR: City of Zagreb 203001 CZ: Praha CZ: Praha 203002 CZ: Støedoèeský kraj CZ: Støedoèeský kraj 203003 CZ: Západoèeský kraj CZ: Západoèeský kraj 203004 CZ: Jihoèeský kraj CZ: Jihoèeský kraj 203005 CZ: Severoèeský kraj CZ: Severoèeský kraj 203006 CZ: Východoèeský kraj CZ: Východoèeský kraj 203007 CZ: Jihomoravský kraj CZ: Jihomoravský kraj 203008 CZ: Severomoravský kraj CZ: Severomoravský kraj 208001 DK: Københavns amt DK: Københavns amt 208002 DK: Roskilde amt DK: Roskilde amt 208003 DK: Frederiksborg amt DK: Frederiksborg amt 208004 DK: Vestsjællands amt DK: Vestsjællands amt 208005 DK: Storstrøms amt DK: Storstrøms amt 208006 DK: Fyns amt DK: Fyns amt 208007 DK: Nordjyllands amt DK: Nordjyllands amt 208008 DK: Viborg amt DK: Viborg amt 208009 DK: Ringkøbing amt DK: Ringkøbing amt 208010 DK: Århus amt DK: Århus amt 208011 DK: Vejle amt DK: Vejle amt 208012 DK: Sønderjyllands og Ribe Amt DK: Sønderjyllands og Ribe Amt 208014 DK: Bornholms amt DK: Bornholms amt 208099 DK: Kbh´s samt Frederiksberg kommune DK: Kbh´s samt Frederiksberg kommune 233001 EE: North-Western Estonia EE: North-Western Estonia 233002 EE: North-Eastern Estonia EE: North-Eastern Estonia 233003 EE: outh-Eastern Estonia EE: outh-Eastern Estonia 233004 EE: South-Western Estonia EE: South-Western Estonia 233005 EE: Western Estonia EE: Western Estonia 246001 FI: Uusimaa FI: Uusimaa 246002 FI: Varsinais-Suomi FI: Varsinais-Suomi 246004 FI: Satakunta FI: Satakunta 246005 FI: Kanta-Häme FI: Kanta-Häme 246006 FI: Pirkanmaa FI: Pirkanmaa 246007 FI: Päijät-Häme FI: Päijät-Häme 246008 FI: Kymenlaakso FI: Kymenlaakso 246009 FI: Etelä-Karjala FI: Etelä-Karjala 246010 FI: Etelä-Savo FI: Etelä-Savo 246011 FI: Pohjois-Savo FI: Pohjois-Savo 246012 FI: Pohjois-Karjala FI: Pohjois-Karjala 246013 FI: Keski-Suomi FI: Keski-Suomi 246014 FI: Etelä-Pohjanmaa FI: Etelä-Pohjanmaa 246015 FI: Pohjanmaa FI: Pohjanmaa 246016 FI: Keski-Pohjanmaa FI: Keski-Pohjanmaa 246017 FI: Pohjois-Pohjanmaa FI: Pohjois-Pohjanmaa 246018 FI: Kainuu FI: Kainuu 246019 FI: Lappi FI: Lappi 250001 FR: Bassin Parisien FR: Bassin Parisien 250002 FR: Centre Est FR: Centre Est 250003 FR: Est FR: Est 250004 FR: Ile De france FR: Ile De france 250005 FR: Méditerranée FR: Méditerranée 250006 FR: Nord FR: Nord 250007 FR: Ouest FR: Ouest 250008 FR: Sud ouest FR: Sud ouest 276001 DE: Schleswig-Holstein DE: Schleswig-Holstein 276002 DE: Hamburg DE: Hamburg 276003 DE: Niedersachsen DE: Niedersachsen 276004 DE: Bremen DE: Bremen 276005 DE: Nordrhein-Westfalen DE: Nordrhein-Westfalen 276006 DE: Hessen DE: Hessen 276007 DE: Rheinland-Pfalz DE: Rheinland-Pfalz 276008 DE: Baden-Württemberg DE: Baden-Württemberg 276009 DE: Bayern DE: Bayern 276010 DE: Saarland DE: Saarland 276011 DE: Berlin DE: Berlin 276012 DE: Brandenburg DE: Brandenburg 276013 DE: Mecklenburg-Vorpommern DE: Mecklenburg-Vorpommern 276014 DE: Sachsen DE: Sachsen 276015 DE: Sachsen-Anhalt DE: Sachsen-Anhalt 276016 DE: Thüringen DE: Thüringen 300001 GR: Karditsa GR: Karditsa 300002 GR: Larisa GR: Larisa 300003 GR: Magnisia GR: Magnisia 300004 GR: Trikala GR: Trikala 300005 GR: Thessalia (rest) GR: Thessalia (rest) 300006 GR: Kerkyra GR: Kerkyra 300007 GR: Aitoloakarnania GR: Aitoloakarnania 300008 GR: Voiotia GR: Voiotia 300009 GR: Evvoia GR: Evvoia 300010 GR: Fthiotida GR: Fthiotida 300011 GR: Argolida GR: Argolida 300012 GR: Arkadia GR: Arkadia 300013 GR: Korinthia GR: Korinthia 300014 GR: Lakonia GR: Lakonia 300015 GR: Messinia GR: Messinia 300016 GR: Attiki GR: Attiki 300017 GR: Chios GR: Chios 300018 GR: Dodekanisos GR: Dodekanisos 300019 GR: Kyklades GR: Kyklades 300020 GR: Chania GR: Chania 300021 GR: Kriti (rest) GR: Kriti (rest) 348001 HU: BUDAPEST HU: BUDAPEST 348002 HU: BARANYA HU: BARANYA 348003 HU: BÁCS HU: BÁCS 348004 HU: BÉKÉS HU: BÉKÉS 348005 HU: BORSOD HU: BORSOD 348006 HU: CSONGRÁD HU: CSONGRÁD 348007 HU: FEJÉR HU: FEJÉR 348008 HU: GYÖR HU: GYÖR 348009 HU: HAJDU HU: HAJDU 348010 HU: HEVES HU: HEVES 348011 HU: KOMÁROM HU: KOMÁROM 348012 HU: NOGRÁD HU: NOGRÁD 348013 HU: PEST HU: PEST 348014 HU: SOMOGY HU: SOMOGY 348015 HU: SZABOLCS HU: SZABOLCS 348016 HU: SZOLNOK HU: SZOLNOK 348017 HU: TOLNA HU: TOLNA 348018 HU: VAS HU: VAS 348019 HU: VESZPRÉM HU: VESZPRÉM 348020 HU: ZALA HU: ZALA 352001 IS: Reykjavik IS: Reykjavik 352002 IS: Towns adjacent to Reykjavik IS: Towns adjacent to Reykjavik 352003 IS: Area around Keflavik Airport IS: Area around Keflavik Airport 352004 IS: West Iceland IS: West Iceland 352005 IS: West fjords IS: West fjords 352006 IS: North West Iceland IS: North West Iceland 352007 IS: North East Iceland IS: North East Iceland 352008 IS: East Iceland IS: East Iceland 352009 IS: South Iceland IS: South Iceland 352010 IS: Vestmann Islands IS: Vestmann Islands 380001 IT: Piemonte IT: Piemonte 380002 IT: Valle d`Aosta IT: Valle d`Aosta 380003 IT: Lombardia IT: Lombardia 380004 IT: Trentino-Alto Adige IT: Trentino-Alto Adige 380005 IT: Veneto IT: Veneto 380006 IT: Friuli-Venezia Giulia IT: Friuli-Venezia Giulia 380007 IT: Liguria IT: Liguria 380008 IT: Emilia-Romagna IT: Emilia-Romagna 380009 IT: Toscana IT: Toscana 380010 IT: Umbria IT: Umbria 380011 IT: Marche IT: Marche 380012 IT: Lazio IT: Lazio 380013 IT: Abruzzo IT: Abruzzo 380014 IT: Molise IT: Molise 380015 IT: Campania IT: Campania 380016 IT: Puglia IT: Puglia 380017 IT: Basilicata IT: Basilicata 380018 IT: Calabria IT: Calabria 380019 IT: Sicilia IT: Sicilia 380020 IT: Sardegna IT: Sardegna 428001 LV: Riga LV: Riga 428002 LV: Vidzeme LV: Vidzeme 428003 LV: Kurzeme LV: Kurzeme 428004 LV: Zemgale LV: Zemgale 428005 LV: Latgale LV: Latgale 440001 LT: Zemaitija LT: Zemaitija 440002 LT: Aukstaitija LT: Aukstaitija 440003 LT: Suvalkija LT: Suvalkija 440004 LT: Dzukija LT: Dzukija 440005 LT: SouthEast Lithuania LT: SouthEast Lithuania 440006 LT: Vilnius LT: Vilnius 442000 LU: no regions LU: no regions 470000 MT: no regions MT: no regions 528001 NL: Noord-Holland NL: Noord-Holland 528002 NL: Zuid-Holland NL: Zuid-Holland 528003 NL: Utrecht NL: Utrecht 528004 NL: Zeeland NL: Zeeland 528005 NL: Noord-Brabant NL: Noord-Brabant 528006 NL: Limburg NL: Limburg 528007 NL: Gelderland NL: Gelderland 528008 NL: Overijssel NL: Overijssel 528009 NL: Flevoland NL: Flevoland 528010 NL: Friesland NL: Friesland 528011 NL: Drenthe NL: Drenthe 528012 NL: Groningen NL: Groningen 616240 PL: Dolnolslaskie PL: Dolnolslaskie 616241 PL: Kujawsko-Pomorskie PL: Kujawsko-Pomorskie 616242 PL: Lubelskie PL: Lubelskie 616243 PL: Lubuskie PL: Lubuskie 616244 PL: Lodzkie PL: Lodzkie 616245 PL: Malopotskie PL: Malopotskie 616246 PL: Mazowieckie PL: Mazowieckie 616247 PL: Opolskie PL: Opolskie 616248 PL: Podkarpackie PL: Podkarpackie 616249 PL: Podlaskie PL: Podlaskie 616250 PL: Pomorsie PL: Pomorsie 616251 PL: Slaskie PL: Slaskie 616252 PL: Swietokryskie PL: Swietokryskie 616253 PL: Warminsko-Mazurskie PL: Warminsko-Mazurskie 616254 PL: Wielkopolskie PL: Wielkopolskie 616255 PL: Zachodniopomorskie PL: Zachodniopomorskie 620001 PT: north PT: north 620002 PT: center PT: center 620003 PT: lisbon & tagus valley PT: lisbon & tagus valley 620004 PT: alentejo PT: alentejo 620005 PT: algarve PT: algarve 642002 RO: ARAD RO: ARAD 642003 RO: ARGES RO: ARGES 642004 RO: BACAU RO: BACAU 642005 RO: BIHOR RO: BIHOR 642006 RO: BISTRITA - NASAUD RO: BISTRITA - NASAUD 642007 RO: BOTOSANI RO: BOTOSANI 642008 RO: BRASOV RO: BRASOV 642009 RO: BRAILA RO: BRAILA 642010 RO: BUZAU RO: BUZAU 642011 RO: CARAS - SEVERIN RO: CARAS - SEVERIN 642012 RO: CALARASI RO: CALARASI 642013 RO: CLUJ RO: CLUJ 642014 RO: CONSTANTA RO: CONSTANTA 642015 RO: COVASNA RO: COVASNA 642016 RO: DAMBOVITA RO: DAMBOVITA 642017 RO: DOLJ RO: DOLJ 642018 RO: GALATI RO: GALATI 642019 RO: GIURGIU RO: GIURGIU 642020 RO: GORJ RO: GORJ 642021 RO: HARGHITA RO: HARGHITA 642022 RO: HUNEDOARA RO: HUNEDOARA 642023 RO: IALOMITA RO: IALOMITA 642024 RO: IASI RO: IASI 642025 RO: MARAMURES RO: MARAMURES 642027 RO: MURES RO: MURES 642028 RO: NEAMT RO: NEAMT 642029 RO: OLT RO: OLT 642030 RO: PRAHOVA RO: PRAHOVA 642031 RO: SATU MARE RO: SATU MARE 642032 RO: SALAJ RO: SALAJ 642033 RO: SIBIU RO: SIBIU 642034 RO: SUCEAVA RO: SUCEAVA 642035 RO: TELEORMAN RO: TELEORMAN 642036 RO: TIMIS RO: TIMIS 642037 RO: TULCEA RO: TULCEA 642038 RO: VASLUI RO: VASLUI 642039 RO: VALCEA RO: VALCEA 642040 RO: VRANCEA RO: VRANCEA 642041 RO: BUCURESTI RO: BUCURESTI 642042 RO: ILFOV RO: ILFOV 643001 RU: Northern RU: Northern 643002 RU: North-Western RU: North-Western 643003 RU: Central RU: Central 643004 RU: Volgo-Vyatki RU: Volgo-Vyatki 643005 RU: Central Black Earth RU: Central Black Earth 643006 RU: North Caucasus RU: North Caucasus 643007 RU: Volga RU: Volga 643008 RU: Urals RU: Urals 643009 RU: Western Siberia RU: Western Siberia 643010 RU: Eastern Siberia RU: Eastern Siberia 643011 RU: Far East RU: Far East 703001 SK: Bratislava County SK: Bratislava County 703002 SK: Trnava County SK: Trnava County 703003 SK: Trencin County SK: Trencin County 703004 SK: Nitra County SK: Nitra County 703005 SK: Zilina County SK: Zilina County 703006 SK: B. Bystrica County SK: B. Bystrica County 703007 SK: Presov County SK: Presov County 703008 SK: Kosice County SK: Kosice County 705001 SI: pomurska SI: pomurska 705002 SI: podravska SI: podravska 705003 SI: koroska SI: koroska 705004 SI: savinjska SI: savinjska 705005 SI: gorenjska SI: gorenjska 705006 SI: zasavska SI: zasavska 705007 SI: osrednja slovenska SI: osrednja slovenska 705008 SI: spodnje posavska SI: spodnje posavska 705009 SI: dolenjska SI: dolenjska 705010 SI: goriska SI: goriska 705011 SI: primorska SI: primorska 705012 SI: kraska SI: kraska 724001 ES: Andalucia ES: Andalucia 724002 ES: Aragon ES: Aragon 724003 ES: Asturias ES: Asturias 724004 ES: Baleares ES: Baleares 724005 ES: Canarias ES: Canarias 724006 ES: Cantabria ES: Cantabria 724007 ES: Castilla-Mancha ES: Castilla-Mancha 724008 ES: Castilla León ES: Castilla León 724009 ES: Cataluña ES: Cataluña 724010 ES: C Valenciana ES: C Valenciana 724011 ES: Extremadura ES: Extremadura 724012 ES: Galicia ES: Galicia 724013 ES: Madrid ES: Madrid 724014 ES: Murcia ES: Murcia 724015 ES: Navarra ES: Navarra 724016 ES: Pais Vasco ES: Pais Vasco 724017 ES: Rioja ES: Rioja 752001 SE: Öresund SE: Öresund 752002 SE: Syd SE: Syd 752003 SE: Stor Göteborg SE: Stor Göteborg 752004 SE: Väst SE: Väst 752005 SE: Stor Stockholm SE: Stor Stockholm 752006 SE: Öst SE: Öst 752007 SE: Norr SE: Norr 792001 TR: ADANA (SOUTH) TR: ADANA (SOUTH) 792006 TR: ANKARA (CENTER) TR: ANKARA (CENTER) 792007 TR: ANTALYA (SOUTH) TR: ANTALYA (SOUTH) 792016 TR: BURSA (NORTHWEST) TR: BURSA (NORTHWEST) 792027 TR: GAZIANTEP (SOUTHEAST) TR: GAZIANTEP (SOUTHEAST) 792032 TR: ISPARTA (WEST) TR: ISPARTA (WEST) 792033 TR: MERSIN (SOUTH) TR: MERSIN (SOUTH) 792034 TR: ISTANBUL (NORTHWEST) TR: ISTANBUL (NORTHWEST) 792035 TR: IZMIR (WEST) TR: IZMIR (WEST) 792042 TR: KONYA (CENTER) TR: KONYA (CENTER) 792045 TR: MANISA (WEST) TR: MANISA (WEST) 792060 TR: TOKAT (CENTER NORTH) TR: TOKAT (CENTER NORTH) 792061 TR: TRABZON (NORTH) TR: TRABZON (NORTH) 792063 TR: SANLIURFA (SOUTHEAST) TR: SANLIURFA (SOUTHEAST) 792065 TR: VAN (EAST) TR: VAN (EAST) 804001 UA: Crimea UA: Crimea 804002 UA: Vinnytsia oblast UA: Vinnytsia oblast 804003 UA: Volyn oblast UA: Volyn oblast 804004 UA: Dnipropetrovsk oblast UA: Dnipropetrovsk oblast 804005 UA: Donetsk oblast UA: Donetsk oblast 804006 UA: Zhitomyr oblast UA: Zhitomyr oblast 804007 UA: Zakarpattia oblast UA: Zakarpattia oblast 804008 UA: Zaporizhia oblast UA: Zaporizhia oblast 804009 UA: Ivano Frankivsk oblast UA: Ivano Frankivsk oblast 804010 UA: Kyiv oblast UA: Kyiv oblast 804011 UA: Kyiv city UA: Kyiv city 804012 UA: Kirovograd oblast UA: Kirovograd oblast 804013 UA: Luhansk oblast UA: Luhansk oblast 804014 UA: Lviv oblast UA: Lviv oblast 804015 UA: Mykolayiv oblast UA: Mykolayiv oblast 804016 UA: Odessa oblast UA: Odessa oblast 804017 UA: Poltava oblast UA: Poltava oblast 804018 UA: Rivnå oblast UA: Rivnå oblast 804019 UA: Sumy oblast UA: Sumy oblast 804020 UA: Ternopil oblast UA: Ternopil oblast 804021 UA: Kharkiv oblast UA: Kharkiv oblast 804022 UA: Kherson oblast UA: Kherson oblast 804023 UA: Hmelnytsk oblast UA: Hmelnytsk oblast 804024 UA: Cherkasy oblast UA: Cherkasy oblast 804025 UA: Chernivtsi oblast UA: Chernivtsi oblast 804026 UA: Chernigiv oblast UA: Chernigiv oblast 826001 GB-GBN: North East GB-GBN: North East 826002 GB-GBN: North West GB-GBN: North West 826003 GB-GBN: Yorks & Humbs GB-GBN: Yorks & Humbs 826004 GB-GBN: E. Mids GB-GBN: E. Mids 826005 GB-GBN: W. Mids GB-GBN: W. Mids 826006 GB-GBN: Eastern GB-GBN: Eastern 826007 GB-GBN: London GB-GBN: London 826008 GB-GBN: South East GB-GBN: South East 826009 GB-GBN: South West GB-GBN: South West 826010 GB-GBN: Wales GB-GBN: Wales 826011 GB-GBN: Scotland GB-GBN: Scotland Ireland: Question not asked in Field Questionnaire. Computed and coded as -4 'question not asked'. Nothern Ireland: Data not available. Standardized country-specific variable containing country ISO 3166-1 identifier (CCC) and country-specific categories (region). don't like as neighbours: hindus (Q7O) Hindus other missing question not asked not applicable no answer don't know not mentioned mentioned Belarus: Since no show card was used in the field questionnaire it seems that they have asked the battery item by item, and not as block. Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Optional question asked in: Belarus and Great Britain. important in a job: good physical working conditions (Q13P) Good physical working conditions other missing question not asked not applicable no answer don't know not mentioned mentioned Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Optional question asked in: Austria, Belarus, Belgium, Bulgaria, Croatia, Czech Republic, Great Britain, Iceland, Italy, Lithuania, Luxembourg, Netherlands, and Spain. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. important in a job: time off in weekends (Q13Q) To have time off at the weekends other missing question not asked not applicable no answer don't know not mentioned mentioned Multiple response questions are split into a set of dichotomized variables (1 mentioned, 0 not mentioned) which represent each of the original categories and are identified by the respective original category code as question number suffix. Please see flag variable f86 which indicates inconsistencies for variables v71 to v86 and O2/O3. Optional question asked in: Austria, Belarus, Croatia, Great Britain, Iceland, Italy, Lithuania, Luxembourg, and Spain. how satisfied are you with job security (Q16a) Show card 16a And how satisfied or dissatisfied are you with your job security? Please use this card to indicate how satisfied or dissatisfied you are. -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 dissatisfied dissatisfied 10 satisfied 10 satisfied 2 3 4 5 6 7 8 9 Optional question asked in: Austria, Belarus, Croatia, Czech Republic, Denmark, Great Britain, Iceland, Ireland, Italy, Lithuania, Northern Ireland, Russia, Slovenia, Turkey, and Ukraine. jobs scarce: giving locals priority (Q20C) When jobs are scarce, employers should give priority to local people over people from other parts of the country other missing question not asked not applicable no answer don't know agree disagree neither Luxembourg: See o5_LU Optional question asked in: Belarus, Bulgaria, Croatia, Italy, Poland, Russia, Spain, Slovenia, Turkey, and Ukraine. jobs scarce: giving locals priority (Q20D_LU) When jobs are scarce, residents rather than cross-border commuters (Grenzgänger) should be employed. other missing question not asked not applicable no answer don't know agree disagree neither Luxembourg: Question not comparable to Master Questionnaire due to deviation in question content (giving priority to "residents over crossborder commuters" instead of "local people over people from other parts of the country"). how often: think about meaning of life (Q20a) Show card 20a How often, if at all, do you think about the meaning and purpose of life? Read out in reverse order for alternate contacts -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 often often 2 sometimes sometimes 3 rarely rarely 4 never never Optional question asked in: Austria, Belarus, Bulgaria, Croatia, Denmark, Estonia, Finland, Germany, Great Britain, Italy, Lithuania, Luxembourg, Russia, Sweden, and Ukraine. stick to religion-explore different religions (Q31a) Which is the most important for you? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 stick to particular faith to stick to a particular faith 10 explore diff religions to explore teachings of different religious traditions 2 3 4 5 6 7 8 9 Optional question asked in: Austria, Belgium, Croatia, Finland, France, Italy, Lithuania, and Luxembourg. do you believe in: angels (Q31b) Do you believe in angels? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Optional question asked in: Austria, Belarus, Croatia, Finland, Germany, Iceland, Italy, and Lithuania. do you believe in supernatural forces (Q36a) Do you believe in supernatural forces, which may be expressed in terms like a Life Force, a Mighty Power, God, a Spirit, a Universal Law, a Cosmic Conscience or a Source of all creation? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes absolutely yes, absolutely 2 yes somewhat yes, somewhat 3 no not so much no, not so much 4 no not at all no, not at all Optional question asked in: Austria, Belgium, Estonia, Lithuania, Netherlands, Russia, and Ukraine. how often: consult your horoscope (Q38a) How often do you consult your horoscope to know about your future? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 every day every day 2 at least once a week at least once a week 3 at least once a month at least once a month 4 less often less often 5 never never Optional question asked in: Austria, Belarus, Bulgaria, Croatia, Czech Republic, Estonia, Finland, France, Germany, Greece, Iceland, Italy, Lithuania, Russia, and Ukraine. how often: take horoscope into account in daily life (Q38b) How often do you take this into account in your daily life? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 always always 2 most of time most of time 3 sometimes sometimes 4 not very often not very often 5 never never Optional question asked in: Austria, Croatia, Czech Republic, Estonia, Finland, France, Germany, Greece, Iceland, Italy, Lithuania, Russia, and Ukraine. nurse refusing abortion on religious grounds (Q39E) If a nurse were asked to help perform a legal abortion, she should be allowed to refuse on religious grounds other missing question not asked not applicable no answer don't know agree strongly agree agree nor disagree disagree disagree strongly Optional question asked in: Austria, Belarus, Croatia, Finland, Germany, Great Britian, Ireland, Italy, Lithuania, Luxembourg, Northern Ireland, and Slovakia. time for prayer and meditation in schools (Q39a) Show card 39a In my opinion, some time should be set aside for prayer, meditation or contemplation in all schools. -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 strongly agree I strongly agree 2 agree I agree 3 agree nor disagree I neither agree nor disagree 4 disagree I disagree 5 strongly disagree I strongly disagree Optional question asked in: Austria, Belarus, Bulgaria, Czech Republic, Germany, Italy, Lithuania, and Turkey. prohibit/allow books that attack religions (Q39b) Show card 39b Should books and films that attack religions be prohibited by law or should they be allowed? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 definitely banned definitely should be banned 2 probably banned probably should be banned 3 probably allowed probably should be allowed 4 definitely allowed definitely should be allowed 5 cannot choose can't choose Optional question asked in: Austria, Belarus, Germany, Lithuania, Russia, Turkey, and Ukraine. does church influence national politics (Q39c) Show card 39c Do you think that the church(es) have an influence on national politics or not? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes absolutely yes, absolutely 2 yes think so yes, I think so 3 no dont think so no, I don't think they have 4 no absolutely not no, absolutely not Optional question asked in: Austria, Belarus, Croatia, Czech Republic, Finland, Germany, Iceland, Lithuania, Luxembourg, Romania, Russia, Turkey, and Ukraine. important in marriage: same ethnic background (Q40P) Same ethnic background other missing question not asked not applicable no answer don't know very rather not Optional question asked in: Belarus, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Great Britain, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Nothern Ireland, Portugal, Romania, Russia, Slovakia, Slovenia, Spain, Netherlands, and Ukraine. how interested in politics (Q51a) How interested would you say you are in politics? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 very interessed very interested 2 somewhat interested somewhat interested 3 not very interested not very interested 4 not at all interested not at all interested Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction). Optional question asked in: Austria, Belarus, Belgium, Bulgaria, Czech Republic, Denmark, Finland, France, Germany, Great Britian, Greece, Iceland, Ireland, Italy, Lithuania, Luxembourg, Nothern Ireland, Poland, Portugal, Russia, Slovenia, Spain, Netherlands, and Ukraine. equalize incomes vs. incentives for individual effort (Q54E) Show card 54 Now I'd like you to tell me your views on various issues. How would you place your views on this scale? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 incomes more equal incomes should be made more equal 10 incentives to individual efforts there should be greater incentives for individual effort 2 3 4 5 6 7 8 9 Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v125), WVS 2000 (v141). Optional question asked in: Austria, Belarus, Belgium, Bulgaria, Croatia, Czech Republic, Estonia, Finland, France, Great Britian, Iceland, Ireland, Italy, Lithuania, Luxembourg, Nothern Ireland, Poland, Romania, Russia, Slovenia, Netherlands, Turkey, and Ukraine. private vs. government ownership business (Q54F) Show card 54 Now I'd like you to tell me your views on various issues. How would you place your views on this scale? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 private ownership increased private ownership of business and industry should be increased 10 government ownership increased government ownership of business and industry should be increased 2 3 4 5 6 7 8 9 Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v126), WVS 2000 (v142). Optional question asked in: Austria, Belarus, Croatia, Czech Republic, Estonia, Finland, France, Germany, Great Britian, Iceland, Ireland, Italy, Lithuania, Netherlands, Northern Ireland, Poland, Portugal, Romania, Russia, Turkey, and Ukraine. individual vs. state responsible for pension (Q54G) Show card 54 Now I'd like you to tell me your views on various issues. How would you place your views on this scale? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 individual resp for pension each individual should be responsible for arranging his or her own pension 10 state resp for pension the state should be responsible for everyone’s pension 2 3 4 5 6 7 8 9 Optional question asked in: Austria, Belarus, Belgium, Croatia, Czech Republic, Estonia, Finland, Great Britain, Iceland, Lithuania, Luxembourg, Portugal, Romania, Russia, Slovenia, Turkey, and Ukraine. individual vs. state responsible for housing (Q54H) Show card 54 Now I'd like you to tell me your views on various issues. How would you place your views on this scale? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 individual resp for housing each individual should be responsible for arranging his or her own housing 10 state resp for housing the state should be responsible for everyone’s housing 2 3 4 5 6 7 8 9 Optional question asked in: Austria, Belarus, Bulgaria, Czech Republic, Estonia, Finland, Great Britain, Lithuania, Romania, Russia, Turkey, and Ukraine. major changes in life cautious vs. act boldly (Q54I) Show card 54 Now I'd like you to tell me your views on various issues. How would you place your views on this scale? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 cautious major changes in life one should be cautious about making major changes in life 10 act boldly to achieve you will never achieve much unless you act boldly 2 3 4 5 6 7 8 9 Luxembourg: See o22_01. Optional question asked in: Austria, Belarus, Estonia, Finland, Iceland, Italy, Lithuania, Romania, Russia, and Ukraine. major changes in society (Q54J_LU) Show card 54 Now I'd like you to tell me your views on various issues. How would you place your views on this scale? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 important changes in society need to be made gradually without pushing people important changes in society need to be made gradually without pushing people 10 important changes in society cannot be achieved without being radical and pushing people important changes in society cannot be achieved without being radical and pushing people 2 3 4 5 6 7 8 9 Luxembourg: Question not comparable to Master Questionnaire due to deviation in response categories. Q.54J_LU refers to major changes in 'society' not in 'life' as defined in Master Questionnaire. opinion on society (Q54a) Show card 54a On this card are three basic kinds of attitudes vis à vis the society we live in. Please choose the one which best describes your own opinion. Code one only -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 radically changed revolutionary action the entire way our society is organised must be radically changed by revolutionary action 2 gradually improved reforms our society must be gradually improved by reforms 3 defend against subversive forces our present society must be valiantly defended against all subversive forces Trend question: EVS 2008 and EVS 1999. (Modified trend: response categories). Comparable questions: WVS 1995 (v124), WVS 2000 (v140). Optional question asked in: Austria, Belarus, Czech Republic, Italy, Lithuania, Russia, Slovenia, and Ukraine. are you willing to fight for country (Q56a) Show card 56a Of course we all hope that there will not be another war, but if it were to come to that, would you be willing to fight for your country? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 yes yes 2 no no Optional question asked in: Austria, Belarus, Croatia, Finland, France, Germany, Italy, Lithuania, Luxembourg, Romania, Russia, Slovenia, and Ukraine. scientific advances help/harm mankind (Q57a) In the long run, do you think the scientific advances we are making will help or harm mankind? -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 will help will help 2 will harm will harm 3 some of each some of each Optional question asked in: Austria, Belarus, Croatia, Germany, Great Britain, Iceland, Ireland, Italy, Lithuania, Northern Ireland, Slovenia, and Sweden. how much confidence in: NATO (Q58K) NATO other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 2000 (v161). Optional question asked in: Austria, Belarus, Belgium, Croatia, Czech Republic, Denmark, Estonia, Germany, Great Britian, Greece, Iceland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Russia, Slovakia, Slovenia, Spain, Sweden, Turkey, and Ukraine. how much confidence in: major companies (Q58O) Major companies other missing question not asked not applicable no answer don't know a great deal quite a lot not very much none at all Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v146), WVS 2000 (v157). Optional question asked in: Austia, Belarus, Croatia, Czech Republic, Finland, France, Germany, Great Britian, Greece, Iceland, Italy, Lithuania, Luxembourg, Portugal, Russia, Spain, and Ukraine. [country] cannot solve its environmental problems by itself (Q58aA) Do you agree or disagree with the following statements on international cooperation? [Country] cannot solve its environmental problems by itself, but needs to collaborate with international organisations on environment protection -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 agree strongly agree strongly 2 agree agree 3 disagree disagree 4 strongly disagree strongly disagree Optional question asked in: Belarus, Belgium, Denmark, Italy, Lithuania, Netherlands, Poland, Russia, Sweden, and Ukraine. [country] cannot solve its problem of criminality by itself (Q58aB) [Country] cannot solve its problem of criminality by itself, but needs to collaborate with international police organisations other missing question not asked not applicable no answer don't know agree strongly agree disagree strongly disagree Optional question asked in: Belarus, Belgium, Denmark, Italy, Lithuania, Netherlands, Poland, Russia, Sweden, and Ukraine. [country] cannot solve its problems of unemployment by itself (Q58aC) [Country] cannot solve its problems of unemployment by itself, but needs to collaborate with international organisations on economic development other missing question not asked not applicable no answer don't know agree strongly agree disagree strongly disagree Optional question asked in: Belarus, Belgium, Denmark, Italy, Lithuania, Netherlands, Poland, Russia, Sweden, and Ukraine. firm party leader vs. cooperating party leader (Q64a) In politics, different parties often hold different views. Which do you think is better? A: A party leader should stand firm for what he or she believes, even if others disagree or B: A party leader should be prepared to cooperate with other groups, even if it means compromising some important beliefs -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 firm party leader agree most with statement A 2 cooperative party leader agree most with statement B Optional question asked in: Belarus, Czech Republic, Ireland, Lithuania, Northern Ireland, Russia, Slovenia, Spain, and Ukraine. government maintain order vs. respect freedom individual (Q64b) If you had to choose, which would you say is the most important responsibility of government? A: To maintain order in society, or B: to respect freedom of the individual -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 maintain order agree most with statement A 2 respect freedom agree most with statement B Optional question asked in: Belarus, Czech Republic, Iceland, Lithuania, Russia, Slovenia, Spain, and Ukraine. do you justify: avoiding fare on public transport (Q65S) Avoiding a fare on public transport other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v193), WVS 2000 (v205). Optional question asked in: Austria, Belgium, Belarus, Croatia, Czech Republic, Germany, Great Britain, Greece, Denmark, Finland, France, Italy, Lithuania, Luxembourg, Netherlands, Russia, and Ukraine. do you justify: sex under legal age of consent (Q65T) Sex under the legal age of consent other missing question not asked not applicable no answer don't know never always Optional question asked in: Austria, Belarus, Croatia, Czech Republic, Finland, Germany, Great Britain, Greece, Ireland, Lithuania, Luxembourg, Northern Ireland, Russia, Slovenia, and Ukraine. do you justify: prostitution (Q65U) Prostitution other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording). Comparable questions: WVS 1995 (v198), WVS 2000 (v209). Optional question asked in: Austria, Belarus, Croatia, Czech Republic, Finland, Germany, Great Britian, Greece, Iceland, Ireland, Italy, Lithuania, Luxembourg, Northern Ireland, Romania, Russia, Slovenia, Spain, and Ukraine. do you justify: political assassinations (Q65V) Political assassinations other missing question not asked not applicable no answer don't know never always Optional question asked in: Austria, Belarus, Croatia, Czech Republic, Finland, Germany, Great Britain, Greece, Lithuania, Luxembourg, Russia, and Ukraine. do you justify: experiments human embryos (Q65W) Scientific experiments on human embryos other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording) Optional question asked in: Austria, Belarus, Belgium, Croatia, Finland, Germany, Great Britain, Greece, Iceland, Ireland, Italy, Lithuania, Luxembourg, Netherlands, Northern Ireland, Slovenia, and Spain. do you justify: manipulation of food (Q65X) Genetic manipulation of food stuffs other missing question not asked not applicable no answer don't know never always Trend question: EVS 2008 and EVS 1999. (Modified trend: interviewer instruction, question wording) Optional question asked in: Austria, Belarus, Belgium, Croatia, Finland, Germany, Great Britian, Greece, Iceland, Italy, Lithuania, Luxembourg, Netherlands, Northern Ireland, Slovenia, and Spain. how many compatriots: avoid fare on public transport (Q66I) Avoiding a fare on public transport other missing question not asked not applicable no answer don't know almost all many some almost none Luxembourg: See o39_LU Optional question asked in: Austria, Belarus, Belgium, Croatia, Czech Republic, Denmark, Finland, Germany, Great Britain, Italy, Lithuania, Russia, and Ukraine. how many compatriots: lie in own interest (Q66J) Lying in their own interest other missing question not asked not applicable no answer don't know almost all many some almost none Luxembourg: See o40_LU Optional question asked in: Austria, Belgium, Belarus, Croatia, Czech Republic, Finland, Germany, Great Britain, Iceland, Italy, Lithuania, Poland, Russia, and Ukraine. how many compatriots: accept a bribe (Q66K) Accepting a bribe in the course of their duties other missing question not asked not applicable no answer don't know almost all many some almost none Luxembourg: See o41_LU Optional question asked in: Austria, Belgium, Belarus, Croatia, Czech Republic, Finland, Germany, Great Britain, Iceland, Italy, Lithuania, Poland, Russia, Turkey, and Ukraine. how many compatriots: avoid fare public transport (Q66I_LU) (5 answer categories) Show card 66 According to you, how many of your compatriots do the following? Avoiding a fare on public transport -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 LU: almost all LU: almost all 2 LU: many LU: many 3 LU: some LU: some 4 LU: almost none LU: almost none 5 LU: no one, none LU: no one, none Luxembourg: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 5 'LU: no one, none'). how many compatriots: lie in own interest (Q66J_LU) (5 answer categories) Lying in their own interest other missing question not asked not applicable no answer don't know LU: almost all LU: many LU: some LU: almost none LU: no one, none Luxembourg: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 5 'LU: no one, none'). how many compatriots: accept a bribe (Q66K_LU) (5 answer categories) Accepting a bribe in the course of their duties other missing question not asked not applicable no answer don't know LU: almost all LU: many LU: some LU: almost none LU: no one, none Luxembourg: Question not comparable to Master Questionnaire (5 instead of 4 answer categories: 5 'LU: no one, none'). punish less severely: thief is young (Q66aA) Show card 66a Do you fully agree, agree, disagree, fully disagree with the following statements: Stealing food in a shop should be punished less severely if : the thief is young -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 agree strongly agree strongly 2 agree agree 3 agree nor disagree neither agree nor disagree 4 disagree disagree 5 disagree strongly disagree strongly Denmark: The principal investigators indicated that in contrary to the Master Questionnaire (which asks for less severe punishment), in the field questionnaire a harder punishment was asked for. Lithuania: See o42_LT Optional question asked in: Austria, Denmark, Germany, and Slovenia. punish less severely: thief is poor (Q66aB) the thief is poor other missing question not asked not applicable no answer don't know agree strongly agree agree nor disagree disagree disagree strongly Denmark: The principal investigators indicated that in contrary to the Master Questionnaire (which asks for less severe punishment), in the field questionnaire a harder punishment was asked for. Lithuania: See o43_LT Optional question asked in: Austria, Denmark, Germany, and Slovenia. punish less severely: shop supermarket chain (Q66aC) the shop is part of a supermarket chain other missing question not asked not applicable no answer don't know agree strongly agree agree nor disagree disagree disagree strongly Denmark: The principal investigators indicated that in contrary to the Master Questionnaire (which asks for less severe punishment), in the field questionnaire a harder punishment was asked for. Lithuania: See o44_LT Optional question asked in: Austria, Denmark, and Germany. punish less severely: thief is young (Q66aA_LT) (4 answer categories) Show card 66a Do you fully agree, agree, disagree, fully disagree with the following statements: Stealing food in a shop should be punished less severely if : the thief is young -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 LT: agree strongly LT: agree strongly 2 LT: agree LT: agree 3 LT: disagree LT: disagree 4 LT: disagree strongly LT: disagree strongly Lithuania: Question not comparable to Master Questionnaire (4 instead of 5 answer categories: 3 'agree nor disagree' is not included). punish less severely: thief is poor (Q66aB_LT) (4 answer categories) the thief is poor other missing question not asked not applicable no answer don't know LT: agree strongly LT: agree LT: disagree LT: disagree strongly Lithuania: Question not comparable to Master Questionnaire (4 instead of 5 answer categories: 3 'agree nor disagree' is not included). punish less severely: shop supermarket chain (Q66aC_LT) (4 answer categories) the shop is part of a supermarket chain other missing question not asked not applicable no answer don't know LT: agree strongly LT: agree LT: disagree LT: disagree strongly Lithuania: Question not comparable to Master Questionnaire (4 instead of 5 answer categories: 3 'agree nor disagree' is not included). do you trust other people in country (Q71a) Show card 71a Using the responses on this card, could you tell me how much you trust [British] people in general? Countries other than UK: Please substitute your nationality for 'British' -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 trust completely trust them completely 2 trust a little trust them a little 3 neither trust or distrust neither trust nor distrust them 4 not trust very much do not trust them very much 5 not trust at all do not trust them at all Germany, Lithuania, and Luxembourg: Due to deviating filter instruction on v254=2 (not citizen of country), all respondents have been asked o45. Optional question asked in: Austria, Belarus, Denmark, Germany, Great Britain, Iceland, Italy, Lithuania, and Luxembourg. opinion on European Union (Q71b) Show card 71b There is much talk about what the individual member states of the European Community Union have in common and what makes each one distinct. Interviewer presents illustration with responses and scale from 1 to 7 A: Some people say: If the European member states were truly to be united, this would mean the end of their national, historical and cultural identities. Their national economic interests would also be sacrificed. B: Others say: Only a truly united Europe can protect its states' national, historical and cultural identities and their national economic interests from the challenges of the superpowers. Which opinion is closest to your own opinion, the first one or the second one? Please use the scale listed. 1 would mean that you agree completely with A and 7 would mean that you agree completely with B. The numbers in between allow you to show which of the opinions you tend to agree with, whether you tend to agree more with the one or with the other. -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 end of national identity A 7 protect national identity B 2 3 4 5 6 Czech Republic, Lithuania, and Slovak Republic: Due to different filter instruction on v254=2 (not citizen of country), all respondents have been asked o46. Optional question asked in: Austria, Belarus, Czech Republic, Italy, Lithuania, and Slovak Republic. live day to day because of uncertain future (Q74a) Do you tend to agree or disagree with the following statement: The future is so uncertain that it is best to live from day to day -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 tend to agree tend to agree 2 tend to disagree tend to disagree Optional question asked in: Austria, Belarus, Estonia, Italy, Lithuania, Russia, Spain, and Ukraine. important: equal chance education (Q76D) Giving young people equal opportunity to pursue their education irrespective of family income other missing question not asked not applicable no answer don't know very important not at all important Ukraine: See o48_UA Optional question asked in: Austria, Belarus, Croatia, Czech Republic, Finland, Germany, Great Britain, Iceland, Italy, Lithuania, Romania, Russia, Slovak Republic, Slovenia, and Turkey. important: equal chance education (Q76D_UA) (4 answer categories) Show card 76 In order to be considered "just", what should a society provide? Please tell me for each statement if it is important or unimportant to you. 1 means very important; 5 means not important at all. Giving young people equal opportunity to pursue their education irrespective of family income -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 UA: very important UA: very important 4 UA: not at all important UA: not at all important 2 3 Ukraine: Question not comparable to Master Questionnaire (4-point-scale instead of the 5-point-scale). socio-economic status respondent (Q110a) Interviewer code by yourself Socio-economic status of respondent -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 AB (upper, upper-middle class) AB (upper, upper-middle class) 2 C1 (middle, non-manual workers) C1 (middle, non-manual workers) 3 C2 (manual workers - skilled, semi-skilled) C2 (manual workers -skilled, semi-skilled) 4 DE (manual workers - unskilled, unemployed) DE (manual workers -unskilled, unemployed) Sweden: In the Swedish questionnaire the upper and the upper-middle class have been distinguished; both categories have been collapsed to adapt the Swedish question to the Master Questionnaire. Original Swedish variable, see v321_se. Optional question asked in: Austria, Belgium, Croatia, Czech Republic, France, Germany, Great Britian, Hungary, Italy, Luxembourg, Malta, Poland, Slovak Republic, Spain, Sweden, and Turkey. date of interview Date of the interview:............. (day, month) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know Trend question: EVS 2008 and EVS 1999. (Modified trend: question wording). Optional question asked in: Austria, Belarus, Belgium, Czech Republic, Finland, Germany, Greece, Hungary, Iceland, Italy, Latvia, Lithuania, Luxembourg, Romania, Russia, Spain, Turkey, and Ukraine. length of interview: hours Total length of interview ...........Hours -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know Optional question asked in: Austria, Belarus, Belgium, Croatia, Czech Republic, Finland, France, Germany, Great Britain, Iceland, Italy, Latvia, Lithuania, Luxembourg, Malta, Romania, Russia, Slovakia, Spain, Sweden, and Ukraine. length of interview: minutes other missing question not asked not applicable no answer don't know Optional question asked in: Austria, Belarus, Belgium, Croatia, Czech Republic, Finland, France, Germany, Great Britain, Iceland, Italy, Latvia, Lithuania, Luxembourg, Malta, Romania, Russia, Slovakia, Spain, Sweden, and Ukraine. duration of interview in minutes (constructed) -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know Trend question: EVS 2008 and EVS 1999. Comparable questions: WVS 1995 (v230), WVS 2000 (v239). Duration of interview in minutes (constructed) Source variables: o51, o52 [Duration of interview in hours/minutes] o52_r= (o51*60 + o52) interest of respondent during interview (Q114) During the interview the respondent was ... -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 1 very interested very interested 2 somewhat interested somewhat interested 3 not very interested not very interested Trend question (EVS 2008=EVS 1999) Comparable questions: WVS 1995 (v231), WVS 2000 (v240). Optional question asked in: Austria, Belarus, Belgium, Croatia, Czech Republic, Finland, France, Germany, Great Britian, Hungary, Iceland, Italy, Latvia, Luxembourg, Malta, Romania, Slovenia, and Spain. language of interview Language (interview) -5 other missing other missing -4 question not asked question not asked -3 not applicable not applicable -2 no answer no answer -1 don't know don't know 5601 BE: Flemish BE: Flemish 5602 BE: French BE: French 23301 EE: Estonian EE: Estonian 23302 EE: Russian EE: Russian 42801 LV: Latvian LV: Latvian 42802 LV: Russian LV: Russian 72401 ES: Spanish ES: Spanish 72402 ES: Catalan ES: Catalan 72403 ES: Galician ES: Galician Belgium, Estonia, Latvia, and Spain: Language in which the interview was taken. Standardized country-specific variable containing country ISO 3166-1 identifier (CCC) and country-specific categories (language). Spain: Field Questionaire only available in Spanish. year/month of start-fieldwork -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know Year/month of start-fieldwork (constructed) Source variable: Period of fieldwork as reported on the Source Book of the 1999/2000 European Values Study (Halman: 2001) and on the Study Description of GESIS Data Catalogue. year/month of end-fieldwork -5 other missing -4 question not asked -3 not applicable -2 no answer -1 don't know Year/month of start-fieldwork (constructed) Source variable: Period of fieldwork as reported on the Source Book of the 1999/2000 European Values Study (Halman: 2001) and on the Study Description of GESIS Data Catalogue.