COMMENT MODULE TITLE Role of Government IV. COMMENT MODULE YEAR 2006. COMMENT 2006-3-13: Initial version 2006-4-11: (not published) corrected labels for FI_SIZE edited 2006-8-16: corrected labels for AU_REG 2006-10-19: (not published) corrected labels for country specific background variables according to integrated data file 2004 (standardised missing values 97: Refused, 98: DK, 99: NA, 0: NAP, other countries) 2006-12-07: (not published) - Coding of country information in V3 changed to full ISO3611 compatibility, V3A added to cover country specific subsample information - more corrections to country specific variables 2007-01-11: (published). DATA LIST FILE='mydata.dat' FREE/ v1 v2 v3 v3a v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 v16 v17 v18 v19 v20 v21 v22 v23 v24 v25 v26 v27 v28 v29 v30 v31 v32 v33 v34 v35 v36 v37 v38 v39 v40 v41 v42 v43 v44 v45 v46 v47 v48 v49 v50 v51 v52 v53 v54 v55 v56 v57 v58 v59 v60 v61 v62 v63 sex age marital cohab educyrs degree at_degr au_degr bg_degr br_degr ca_degr ch_degr cl_degr cy_degr cz_degr de_degr dk_degr do_degr es_degr fi_degr fla_degr fr_degr gb_degr hr_degr hu_degr ie_degr il_degr jp_degr kr_degr lv_degr mx_degr nl_degr no_degr nz_degr ph_degr pl_degr pt_degr ru_degr se_degr si_degr sk_degr tr_degr tw_degr us_degr uy_degr ve_degr za_degr wrkst wrkhrs isco88 wrktype nemploy wrksup union spwrkst spisco88 spwrktyp at_rinc au_rinc bg_rinc br_rinc ca_rinc ch_rinc cl_rinc cy_rinc cz_rinc de_rinc dk_rinc do_rinc es_rinc fi_rinc fla_rinc fr_rinc gb_rinc hr_rinc hu_rinc ie_rinc il_rinc jp_rinc kr_rinc lv_rinc mx_rinc nl_rinc no_rinc nz_rinc ph_rinc pl_rinc pt_rinc ru_rinc se_rinc si_rinc sk_rinc tr_rinc tw_rinc us_rinc uy_rinc ve_rinc za_rinc at_inc au_inc bg_inc br_inc ca_inc ch_inc cl_inc cy_inc cz_inc de_inc dk_inc do_inc es_inc fi_inc fla_inc fr_inc gb_inc hr_inc hu_inc ie_inc il_inc jp_inc kr_inc lv_inc mx_inc nl_inc no_inc nz_inc ph_inc pl_inc pt_inc ru_inc se_inc si_inc sk_inc tr_inc tw_inc us_inc uy_inc ve_inc za_inc hompop hhcycle party_lr at_prty au_prty bg_prty br_prty ca_prty ch_prty cl_prty cy_prty cz_prty de_prty dk_prty do_prty es_prty fi_prty fla_prty fr_prty gb_prty hr_prty hu_prty ie_prty il_prty jp_prty kr_prty lv_prty mx_prty nl_prty no_prty nz_prty ph_prty pl_prty pt_prty ru_prty se_prty si_prty sk_prty tr_prty tw_prty us_prty uy_prty ve_prty za_prty vote_le relig religgrp attend topbot at_reg au_reg bg_reg br_reg ca_reg ch_reg cl_reg cy_reg cz_reg de_reg dk_reg do_reg es_reg fi_reg fla_reg fr_reg gb_reg hr_reg hu_reg ie_reg il_reg jp_reg kr_reg lv_reg mx_reg nl_reg no_reg nz_reg ph_reg pl_reg pt_reg ru_reg se_reg si_reg sk_reg tr_reg tw_reg us_reg uy_reg ve_reg za_reg at_size au_size bg_size br_size ca_size ch_size cl_size cy_size cz_size de_size dk_size do_size es_size fi_size fla_size fr_size gb_size hr_size hu_size ie_size il_size jp_size kr_size lv_size mx_size nl_size no_size nz_size ph_size pl_size pt_size ru_size se_size si_size sk_size tr_size tw_size us_size uy_size ve_size za_size urbrural ethnic mode weight . VARIABLE LABEL v1 "ZA Study Number". COMMENT TO v1: leave blank! . VALUE LABELS v1 -999999 "SYSMIS" . VARIABLE LABEL v2 "Respondent Number". VALUE LABELS v2 -999999 "SYSMIS" . VARIABLE LABEL v3 "Country/Sample (see V3A for codes for whole nation states)". COMMENT TO v3: To be coded using the three digit ISO-Code for the country at hand and a numeric appendix after the decimal comma to indicate a subsample. If no subsamples exist for a given country, this holds the country's original ISO code (see V3A). *1. covers disproportional regional samples 2. covers oversamples of subgroups or technically independent samples Both cases will require special weighting if analysis are meant to be representative for a country. . VALUE LABELS v3 036 "AU-Australia" 040 "AT-Austria" 056.1 "FLA-Flanders" 076 "BR-Brazil" 100 "BG-Bulgaria" 124 "CA-Canada" 152 "CL-Chile" 158 "TW-Taiwan" 191 "HR-Croatia" 196 "CY-Cyprus" 203 "CZ-Czech Republic" 208 "DK-Denmark" 214 "DO-Dominican Republic" 246 "FI-Finland" 250 "FR-France" 276.1 "DE-W-Germany-West" 276.2 "DE-E-Germany-East" 348 "HU-Hungary" 372 "IE-Ireland" 376 "IL-Israel" 392 "JP-Japan" 410 "KR-South Korea" 428 "LV-Latvia" 484 "MX-Mexico" 528 "NL-Netherlands" 554 "NZ-New Zealand" 578 "NO-Norway" 608 "PH-Philippines" 616 "PL-Poland" 620 "PT-Portugal" 643 "RU-Russia" 703 "SK-Slovak Republic" 705 "SI-Slovenia" 710 "ZA-South Africa" 724 "ES-Spain" 752 "SE-Sweden" 756 "CH-Switzerland" 792 "TR-Turkey" 826.1 "GB-Great Britain" 826.2 "NIRL-Northern Ireland" 840 "US-United States" 858 "UY-Uruguay" 862 "VE-Venezuela" . VARIABLE LABEL v3a "ISO code of country". VALUE LABELS v3a -999999 "SYSMIS" . VARIABLE LABEL v4 "Q1: Obey laws without exception". COMMENT TO v4: In general, would you say that people should obey the law without exception, or are there exceptional occasions on which people should follow their consciences even if it means breaking the law? . VALUE LABELS v4 1 "Obey the law without exception" 2 "Follow conscience on occasions" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v5 "Q2a: Public protest meetings". COMMENT TO v5: There are many ways people or organisations can protest against a government action they strongly oppose. Please show which you think should be allowed and which should not be allowed by ticking a box on each line. a. Organising public meetings to protest against government. . VALUE LABELS v5 1 "Definitely allowed" 2 "Probably allowed" 3 "Probably not allowed" 4 "Definitely not allowed" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v6 "Q2b: Protest demonstrations". COMMENT TO v6: There are many ways people or organisations can protest against a government action they strongly oppose. Please show which you think should be allowed and which should not be allowed by ticking a box on each line. b. Organising protest marches and demonstrations. . VALUE LABELS v6 1 "Definitely allowed" 2 "Probably allowed" 3 "Probably not allowed" 4 "Definitely not allowed" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v7 "Q2c: National anti-government strike". COMMENT TO v7: There are many ways people or organisations can protest against a government action they strongly oppose. Please show which you think should be allowed and which should not be allowed by ticking a box on each line. c. Organising a nationwide strike of all workers against government. . VALUE LABELS v7 1 "Definitely allowed" 2 "Probably allowed" 3 "Probably not allowed" 4 "Definitely not allowed" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v8 "Q3a: Revolutionaries: hold public meetings". COMMENT TO v8: There are some people whose views are considered extreme by the majority. Consider people who want to overthrow the government by revolution. Do you think such people should be allowed to ... . VALUE LABELS v8 1 "Definitely allowed" 2 "Probably allowed" 3 "Probably not allowed" 4 "Definitely not allowed" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v9 "Q3b: Revolutionaries: publish books". COMMENT TO v9: There are some people whose views are considered extreme by the majority. Consider people who want to overthrow the government by revolution. Do you think such people should be allowed to ... . VALUE LABELS v9 1 "Definitely allowed" 2 "Probably allowed" 3 "Probably not allowed" 4 "Definitely not allowed" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v10 "Q4: Worse type of justice error". COMMENT TO v10: All systems of justice make mistakes, but which do you think is worse, to ... . VALUE LABELS v10 1 "Convict innocent person" 2 "Let guilty person go free" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v11 "Q5a: Gov. and economy: Cuts in gov. spending". COMMENT TO v11: Here are some things the government might do for the economy. Please show which actions you are in favour of and which you are against. a. Cuts in government spending. . VALUE LABELS v11 1 "Strongly in favour of" 2 "In favour of" 3 "Neither in favour of nor against" 4 "Against" 5 "Strongly against" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v12 "Q5b: Gov. and economy: Financing projects for new jobs". COMMENT TO v12: Here are some things the government might do for the economy. Please show which actions you are in favour of and which you are against. b. Government financing of projects to create new jobs. . VALUE LABELS v12 1 "Strongly in favour of" 2 "In favour of" 3 "Neither in favour of nor against" 4 "Against" 5 "Strongly against" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v13 "Q5c: Gov. and economy: Less gov. reg. of business". COMMENT TO v13: Here are some things the government might do for the economy. Please show which actions you are in favour of and which you are against. c. Less government regulation of business. . VALUE LABELS v13 1 "Strongly in favour of" 2 "In favour of" 3 "Neither in favour of nor against" 4 "Against" 5 "Strongly against" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v14 "Q5d: Gov. and economy: Support industry to develop new products". COMMENT TO v14: Here are some things the government might do for the economy. Please show which actions you are in favour of and which you are against. d. Support industry to develop new products and technology. . VALUE LABELS v14 1 "Strongly in favour of" 2 "In favour of" 3 "Neither in favour of nor against" 4 "Against" 5 "Strongly against" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v15 "Q5e: Gov. and economy: Support declining industries to protect jobs". COMMENT TO v15: Here are some things the government might do for the economy. Please show which actions you are in favour of and which you are against. e. Support for declining industries to protect jobs. . VALUE LABELS v15 1 "Strongly in favour of" 2 "In favour of" 3 "Neither in favour of nor against" 4 "Against" 5 "Strongly against" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v16 "Q5f: Gov. and economy: Red. working week for more jobs". COMMENT TO v16: Here are some things the government might do for the economy. Please show which actions you are in favour of and which you are against. f. Reducing the working week to create more jobs. . VALUE LABELS v16 1 "Strongly in favour of" 2 "In favour of" 3 "Neither in favour of nor against" 4 "Against" 5 "Strongly against" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v17 "Q6a: Government should spend money: environment". COMMENT TO v17: Listed below are various areas of government spending. Please show whether you would like to see more or less government spending in each area. Remember that if you say "much more", it might require a tax increase to pay for it. . VALUE LABELS v17 1 "Spend much more" 2 "Spend more" 3 "Spend the same as now" 4 "Spend less" 5 "Spend much less" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v18 "Q6b: Government should spend money: health". COMMENT TO v18: Listed below are various areas of government spending. Please show whether you would like to see more or less government spending in each area. Remember that if you say "much more", it might require a tax increase to pay for it. . VALUE LABELS v18 1 "Spend much more" 2 "Spend more" 3 "Spend the same as now" 4 "Spend less" 5 "Spend much less" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v19 "Q6c: Government should spend money: law enforcement". COMMENT TO v19: Listed below are various areas of government spending. Please show whether you would like to see more or less government spending in each area. Remember that if you say "much more", it might require a tax increase to pay for it. . VALUE LABELS v19 1 "Spend much more" 2 "Spend more" 3 "Spend the same as now" 4 "Spend less" 5 "Spend much less" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v20 "Q6d: Government should spend money: education". COMMENT TO v20: Listed below are various areas of government spending. Please show whether you would like to see more or less government spending in each area. Remember that if you say "much more", it might require a tax increase to pay for it. . VALUE LABELS v20 1 "Spend much more" 2 "Spend more" 3 "Spend the same as now" 4 "Spend less" 5 "Spend much less" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v21 "Q6e: Government should spend money: defence". COMMENT TO v21: Listed below are various areas of government spending. Please show whether you would like to see more or less government spending in each area. Remember that if you say "much more", it might require a tax increase to pay for it. . VALUE LABELS v21 1 "Spend much more" 2 "Spend more" 3 "Spend the same as now" 4 "Spend less" 5 "Spend much less" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v22 "Q6f: Government should spend money: retirement". COMMENT TO v22: Listed below are various areas of government spending. Please show whether you would like to see more or less government spending in each area. Remember that if you say "much more", it might require a tax increase to pay for it. . VALUE LABELS v22 1 "Spend much more" 2 "Spend more" 3 "Spend the same as now" 4 "Spend less" 5 "Spend much less" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v23 "Q6g: Government should spend money: unempl. benefits". COMMENT TO v23: Listed below are various areas of government spending. Please show whether you would like to see more or less government spending in each area. Remember that if you say "much more", it might require a tax increase to pay for it. . VALUE LABELS v23 1 "Spend much more" 2 "Spend more" 3 "Spend the same as now" 4 "Spend less" 5 "Spend much less" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v24 "Q6h: Government should spend money: culture and arts". COMMENT TO v24: Listed below are various areas of government spending. Please show whether you would like to see more or less government spending in each area. Remember that if you say "much more", it might require a tax increase to pay for it. . VALUE LABELS v24 1 "Spend much more" 2 "Spend more" 3 "Spend the same as now" 4 "Spend less" 5 "Spend much less" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v25 "Q7a: Gov. responsibility: provide job for everyone". COMMENT TO v25: On the whole, do you think it should or should not be the government's responsibility to ... . VALUE LABELS v25 1 "Definitely should be" 2 "Probably should be" 3 "Probably should not be" 4 "Definitely should not be" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v26 "Q7b: Gov. responsibility: control prices". COMMENT TO v26: On the whole, do you think it should or should not be the government's responsibility to ... . VALUE LABELS v26 1 "Definitely should be" 2 "Probably should be" 3 "Probably should not be" 4 "Definitely should not be" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v27 "Q7c: Gov. responsibility: provide health care for sick". COMMENT TO v27: On the whole, do you think it should or should not be the government's responsibility to ... . VALUE LABELS v27 1 "Definitely should be" 2 "Probably should be" 3 "Probably should not be" 4 "Definitely should not be" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v28 "Q7d: Gov. responsibility: provide living standard for the old". COMMENT TO v28: On the whole, do you think it should or should not be the government's responsibility to ... . VALUE LABELS v28 1 "Definitely should be" 2 "Probably should be" 3 "Probably should not be" 4 "Definitely should not be" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v29 "Q7e: Gov. responsibility: help industry grow". COMMENT TO v29: On the whole, do you think it should or should not be the government's responsibility to ... . VALUE LABELS v29 1 "Definitely should be" 2 "Probably should be" 3 "Probably should not be" 4 "Definitely should not be" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v30 "Q7f: Gov. responsibility: provide living standard for unemployed". COMMENT TO v30: On the whole, do you think it should or should not be the government's responsibility to ... . VALUE LABELS v30 1 "Definitely should be" 2 "Probably should be" 3 "Probably should not be" 4 "Definitely should not be" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v31 "Q7g: Gov. responsibility: reduce income differences betw. rich/ poor". COMMENT TO v31: On the whole, do you think it should or should not be the government's responsibility to ... . VALUE LABELS v31 1 "Definitely should be" 2 "Probably should be" 3 "Probably should not be" 4 "Definitely should not be" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v32 "Q7h: Gov. responsibility: financial help to students". COMMENT TO v32: On the whole, do you think it should or should not be the government's responsibility to ... . VALUE LABELS v32 1 "Definitely should be" 2 "Probably should be" 3 "Probably should not be" 4 "Definitely should not be" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v33 "Q7i: Gov. responsibility: provide decent housing". COMMENT TO v33: On the whole, do you think it should or should not be the government's responsibility to ... . VALUE LABELS v33 1 "Definitely should be" 2 "Probably should be" 3 "Probably should not be" 4 "Definitely should not be" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v34 "Q7j: Gov. responsibility: laws to protect environment". COMMENT TO v34: On the whole, do you think it should or should not be the government's responsibility to ... . VALUE LABELS v34 1 "Definitely should be" 2 "Probably should be" 3 "Probably should not be" 4 "Definitely should not be" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v35 "Q8a: Gov. successful: provide health care for sick". COMMENT TO v35: How successful do you think the government in [Country] is nowadays in each of the following areas? . VALUE LABELS v35 1 "Very successful" 2 "Quite successful" 3 "Neither successful nor unsuccessful" 4 "Quite unsuccessful" 5 "Very unsuccessful" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v36 "Q8b: Gov. successful: provide living standard for old". COMMENT TO v36: How successful do you think the government in [Country] is nowadays in each of the following areas? . VALUE LABELS v36 1 "Very successful" 2 "Quite successful" 3 "Neither successful nor unsuccessful" 4 "Quite unsuccessful" 5 "Very unsuccessful" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v37 "Q8c: Gov. successful: dealing with threats to security". COMMENT TO v37: How successful do you think the government in [Country] is nowadays in each of the following areas? . VALUE LABELS v37 1 "Very successful" 2 "Quite successful" 3 "Neither successful nor unsuccessful" 4 "Quite unsuccessful" 5 "Very unsuccessful" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v38 "Q8d: Gov. successful: controlling crime". COMMENT TO v38: How successful do you think the government in [Country] is nowadays in each of the following areas? . VALUE LABELS v38 1 "Very successful" 2 "Quite successful" 3 "Neither successful nor unsuccessful" 4 "Quite unsuccessful" 5 "Very unsuccessful" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v39 "Q8e: Gov. successful: fighting unemployment". COMMENT TO v39: How successful do you think the government in [Country] is nowadays in each of the following areas? . VALUE LABELS v39 1 "Very successful" 2 "Quite successful" 3 "Neither successful nor unsuccessful" 4 "Quite unsuccessful" 5 "Very unsuccessful" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v40 "Q8f: Gov. successful: protecting environment". COMMENT TO v40: How successful do you think the government in [Country] is nowadays in each of the following areas? . VALUE LABELS v40 1 "Very successful" 2 "Quite successful" 3 "Neither successful nor unsuccessful" 4 "Quite unsuccessful" 5 "Very unsuccessful" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v41 "Q9a: Gov. detain people". COMMENT TO v41: Suppose the government suspected that a terrorist act was about to happen. Do you think the authorities should have the right to… . VALUE LABELS v41 1 "Definitely should have right" 2 "Probably should have right" 3 "Probably should not have right" 4 "Definitely should not have right" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v42 "Q9b: Gov. tap telephone". COMMENT TO v42: Suppose the government suspected that a terrorist act was about to happen. Do you think the authorities should have the right to… . VALUE LABELS v42 1 "Definitely should have right" 2 "Probably should have right" 3 "Probably should not have right" 4 "Definitely should not have right" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v43 "Q9c: Gov. stop/search people randomly". COMMENT TO v43: Suppose the government suspected that a terrorist act was about to happen. Do you think the authorities should have the right to… . VALUE LABELS v43 1 "Definitely should have right" 2 "Probably should have right" 3 "Probably should not have right" 4 "Definitely should not have right" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v44 "Q10: How much interested in politics". COMMENT TO v44: How interested would you say you personally are in politics? . VALUE LABELS v44 1 "Very interested" 2 "Fairly interested" 3 "Somewhat interested" 4 "Not very interested" 5 "Not at all interested" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v45 "Q11a: People like me have no say about what gov. does". COMMENT TO v45: Please tick one box on each line to show how much you agree or disagree with each of the following statements. a. People like me dont have any say about what the government does. . VALUE LABELS v45 1 "Strongly agree" 2 "Agree" 3 "Neither agree nor disagree" 4 "Disagree" 5 "Strongly disagree" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v46 "Q11b: Average citizen: influence in politics". COMMENT TO v46: Please tick one box on each line to show how much you agree or disagree with each of the following statements. b. The average citizen has considerable influence on politics. . VALUE LABELS v46 1 "Strongly agree" 2 "Agree" 3 "Neither agree nor disagree" 4 "Disagree" 5 "Strongly disagree" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v47 "Q11c: Good understanding political issues". COMMENT TO v47: Please tick one box on each line to show how much you agree or disagree with each of the following statements. c. I feel that I have a pretty good understanding of the important political issues facing our country. . VALUE LABELS v47 1 "Strongly agree" 2 "Agree" 3 "Neither agree nor disagree" 4 "Disagree" 5 "Strongly disagree" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v48 "Q11d: Most people better informed than I am". COMMENT TO v48: Please tick one box on each line to show how much you agree or disagree with each of the following statements. d. I think that most people are better informed about politics and government than I am. . VALUE LABELS v48 1 "Strongly agree" 2 "Agree" 3 "Neither agree nor disagree" 4 "Disagree" 5 "Strongly disagree" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v49 "Q11e: MPs try to keep promises". COMMENT TO v49: Please tick one box on each line to show how much you agree or disagree with each of the following statements. e. People we elected as MPs try to keep the promises they have made during the election. . VALUE LABELS v49 1 "Strongly agree" 2 "Agree" 3 "Neither agree nor disagree" 4 "Disagree" 5 "Strongly disagree" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v50 "Q11f: Trust in civil servants". COMMENT TO v50: Please tick one box on each line to show how much you agree or disagree with each of the following statements. f. Most civil servants can be trusted to do what is best for the country. . VALUE LABELS v50 1 "Strongly agree" 2 "Agree" 3 "Neither agree nor disagree" 4 "Disagree" 5 "Strongly disagree" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v51 "Q12a: Taxes for high incomes". COMMENT TO v51: Generally, how would you describe taxes in [Country] today? ((We mean all taxes together, including [wage deductions], [income tax], [taxes on goods and services] and all the rest.)) a. First, for those with high incomes, are taxes ... . VALUE LABELS v51 1 "Much too high" 2 "Too high" 3 "About right" 4 "Too low" 5 "Much too low" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v52 "Q12b: Taxes for middle incomes". COMMENT TO v52: Generally, how would you describe taxes in [Country] today? ((We mean all taxes together, including [wage deductions], [income tax], [taxes on goods and services] and all the rest.)) b. Next, for those with middle incomes, are taxes... . VALUE LABELS v52 1 "Much too high" 2 "Too high" 3 "About right" 4 "Too low" 5 "Much too low" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v53 "Q12c: Taxes for low incomes". COMMENT TO v53: Generally, how would you describe taxes in [Country] today? ((We mean all taxes together, including [wage deductions], [income tax], [taxes on goods and services] and all the rest.)) c. Lastly, for those with low incomes, are taxes ... . VALUE LABELS v53 1 "Much too high" 2 "Too high" 3 "About right" 4 "Too low" 5 "Much too low" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v54 "Q13a: Only few people to trust". COMMENT TO v54: To what extent do you agree or disagree with the following statements. a. "There are only a few people I can trust completely." . VALUE LABELS v54 1 "Strongly agree" 2 "Agree" 3 "Neither agree nor disagree" 4 "Disagree" 5 "Strongly disagree" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v55 "Q13b: People will take advantage". COMMENT TO v55: To what extent do you agree or disagree with the following statements. b. "If you are not careful, other people will take advantage of you." . VALUE LABELS v55 1 "Strongly agree" 2 "Agree" 3 "Neither agree nor disagree" 4 "Disagree" 5 "Strongly disagree" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v56 "Q14a: How often asked to influence". COMMENT TO v56: Some people because of their job, position in the community or contacts, are asked by others to help influence important decisions in their favour. a. What about you? How often are you asked to help influence important decisions in other people’s favour? . VALUE LABELS v56 1 "Never" 2 "Seldom" 3 "Occasionally" 4 "Often" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v57 "Q14b: People you could ask to influence". COMMENT TO v57: Some people because of their job, position in the community or contacts, are asked by others to help influence important decisions in their favour. b. And are there people you could ask to help influence important decisions in your favour? . VALUE LABELS v57 1 "No, nobody" 2 "Yes, few people" 3 "Yes, some people" 4 "Yes, a lot of people" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v58 "Q15: Public officials deal fairly with people like me". COMMENT TO v58: In your opinion, how often do public officials deal fairly with people like you? . VALUE LABELS v58 1 "Almost always" 2 "Often" 3 "Occasionally" 4 "Seldom" 5 "Almost never" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v59 "Q16: Treatment by officials depends on contacts". COMMENT TO v59: Do you think that the treatment people get from public officials in [Country] depends on who they know? . VALUE LABELS v59 1 "Definitely does" 2 "Probably does" 3 "Probably does not" 4 "Definitely does not" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v60 "Q17: politicians involved in corruption". COMMENT TO v60: In your opinion, about how many politicians in [Country] are involved in corruption? . VALUE LABELS v60 1 "Almost none" 2 "A few" 3 "Some" 4 "Quite a lot" 5 "Almost all" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v61 "Q18: Public officials involved in corruption". COMMENT TO v61: And in your opinion, about how many public officials in [Country] are involved in corruption? . VALUE LABELS v61 1 "Almost none" 2 "A few" 3 "Some" 4 "Quite a lot" 5 "Almost all" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v62 "Q19: Public officials wanted bribe". COMMENT TO v62: In the last five years, how often have you or a member of your immediate family come across a public official who hinted they wanted, or asked for, a bribe or favour in return for a service? . VALUE LABELS v62 1 "Never" 2 "Seldom" 3 "Occasionally" 4 "Quite often" 5 "Very often" 8 "Cant choose" 9 "NA" . VARIABLE LABEL v63 "Q20: How many people contact". COMMENT TO v63: On average, about how many people do you have contact with in a typical week day, including people you live with. We are interested in contact on a one-to-one basis, including everyone with whom you chat, talk, or discuss matters. This can be face-to-face, by telephone, by mail, or on the internet. Please include only people you know. Please select one from the following categories that best matches your estimate. . VALUE LABELS v63 1 "0-4 persons" 2 "5-9" 3 "10-19" 4 "20-49" 5 "50 or more" 8 "Cant choose" 9 "NA" . VARIABLE LABEL sex "R: Sex". VALUE LABELS sex 1 "Male" 2 "Female" 9 "NA, refused" . VARIABLE LABEL age "R: Age". VALUE LABELS age 99 "NA, refused" . VARIABLE LABEL marital "R: Marital status". VALUE LABELS marital 1 "Marr,livg as married" 2 "Widowed" 3 "Divorced" 4 "Separated, but married" 5 "Single, never married" 9 "NA, refused" . VARIABLE LABEL cohab "R: Steady life-partner". VALUE LABELS cohab 0 "NAP,married,no partner,NAV" 1 "Yes" 2 "No" 9 "NA,refused" . VARIABLE LABEL educyrs "R: Education I: years of schooling". VALUE LABELS educyrs 0 "NAV" 95 "Still at school" 96 "Still at college,university" 97 "No formal schooling" 98 "Dont know" 99 "NA, refused" . VARIABLE LABEL degree "R: Education II-highest education level". VALUE LABELS degree 0 "No formal qualification" 1 "Lowest formal qualification" 2 "Above lowest qualification" 3 "Higher secondary completed" 4 "Above higher secondary level" 5 "University degree completed" 9 "NA" . VARIABLE LABEL at_degr "Country specific education: Austria". VALUE LABELS at_degr 0 "NAP, other countries" 1 "Primary compl. Hauptschule" 2 "Apprenticeship compl." 3 "Middle school voc." 4 "Second compl., Matura" 5 "Higher prof. school, BHS" 6 "University complete" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL au_degr "Country specific education: Australia". VALUE LABELS au_degr 0 "NAP, other countries" 1 "Did not complete High School to Year 10" 2 "Completed High School to Year 10" 3 "Completed High School to Year 12" 4 "Trade qualification or apprenticeship" 5 "Certificate or Diploma (TAFE or business college)" 6 "Bachelor Degree (including Honors)" 7 "Postgraduate Degree or Postgraduate Diploma" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL bg_degr "Country specific education: Bulgaria". VALUE LABELS bg_degr 0 "NAP, other countries" 1 "None" 2 "Primary + basic education" 3 "Lower secondary" 4 "Upper secondary" 5 "Secondary technical" 6 "College, 2-4 yrs" 7 "Higher education" 8 "University and higher" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL br_degr "Country specific education: Brazil". VALUE LABELS br_degr 0 "NAP, other countries" 1 "None, still at school" 2 "Incomplete primary" 3 "Primary completed" 4 "Incomplete secondary" 5 "Secondary completed" 6 "University incomplete" 7 "University completed, MA, PhD" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL ca_degr "Country specific education: Canada". VALUE LABELS ca_degr 0 "NAP, other countries" 1 "None, still at school" 2 "Some grade school" 3 "Finished grade school" 4 "Some high school" 5 "Finished high school" 6 "College/CEGEP" 7 "Completed university" 8 "Graduate studies" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL ch_degr "Country specific education: Switzerland". VALUE LABELS ch_degr 0 "NAP, other countries" 1 "Incomplete compulsory education" 2 "Compulsory education" 3 "Elementary vocational training" 4 "Secondary education, maturity" 5 "Graduation diploma school" 6 "Trade school, 1 year" 7 "Apprenticeship" 8 "2-3 yrs general training school" 9 "2-3 yrs full time vocational education" 10 "Higher vocational education" 11 "Technical or vocational college" 12 "Advanced technical college" 13 "University, (3 yrs,), bachelor" 14 "University, techn.,master" 15 "University, post-grade" 95 "other education" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL cl_degr "Country specific education: Rep.o Chile". VALUE LABELS cl_degr 0 "NAP, other countries" 1 "None" 2 "Incomplete primary" 3 "Primary completed" 4 "Incomplete secondary" 5 "Secondary completed" 6 "University incomplete" 7 "University completed" 8 "Incompl non-university higher" 9 "Compl non-university higher" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL cy_degr "Country specific education: Cyprus". VALUE LABELS cy_degr 0 "NAP, other countries" 1 "None" 2 "Incomplete primary" 3 "Primary completed" 4 "Incomplete secondary" 5 "Secondary completed" 6 "Higher vocational studies" 7 "University completed" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL cz_degr "Country specific education: Czech Republic". VALUE LABELS cz_degr 0 "NAP, other countries" 1 "Incomplete primary" 2 "Primary completed" 3 "Lower vocational" 4 "General sec.,no diploma" 5 "Vocational, diploma" 6 "Technical secondary" 7 "Academic secondary" 8 "Post secondary" 9 "Tertiary,bachelor degree" 10 "Tertiary,master degree" 11 "Post-graduate education" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL de_degr "Country specific education: Germany". VALUE LABELS de_degr 0 "NAP, other countries" 1 "Still at school" 2 "School left without certificate" 3 "Lower secondary, Hauptschule" 4 "Middle school, mittlere Reife" 5 "Secondary, technical" 6 "Higher secondary, Abitur" 7 "Special university, Fachhochschule" 8 "University" 9 "Other qualification" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL dk_degr "Country specific education: Denmark". VALUE LABELS dk_degr 0 "NAP, other countries" 1 "7 yrs primary school or shorter" 2 "8 yrs primary school" 3 "9 yrs primary school" 4 "Secondary, 10 yrs. or similar" 5 "Gymnasium, general" 6 "Gymnasium, technical" 7 "Other school education" 8 "Basic vocational+apprenticeship" 9 "Other compl.vocational educ" 10 "Short advanced education <3 yrs" 11 "Middlerange advanced, 3-4 yrs" 12 "Further advanced >4 yrs" 13 "Other vocational education" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL do_degr "Country specific education: Dominican Republic". VALUE LABELS do_degr 0 "NAP, other countries" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL es_degr "Country specific education: Spain". VALUE LABELS es_degr 0 "NAP, other countries" 1 "No formal schooling" 2 "Incomplete primary school" 3 "Primary school completed" 4 "Incomplete secondary" 5 "1st degree professional traing" 6 "Secondary school completed" 7 "Secondary professional traing" 8 "Technical architecture etc,3 yrs" 9 "3 year university" 10 "Architecture a engineering" 11 "College degree,4 yrs" 12 "PhD, other official degree" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL fi_degr "Country specific education: Finland". VALUE LABELS fi_degr 0 "NAP, other countries" 1 "None, still at school" 2 "Primary school" 3 "Comprehensive, prim.+lower secondary" 4 "Post-comprehensive, vocational educ" 5 "Post-comprehensive, upper secondary" 6 "Post-comprehensive, voc college" 7 "Polytechnics" 8 "University,BA,lower academic" 9 "University,MA,higher academic" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL fla_degr "Country specific education: Flanders". VALUE LABELS fla_degr 0 "NAP, other countries" 1 "None" 2 "Primary education" 3 "Lower general secondary" 4 "Lower technical secondary" 5 "Lower secondary vocational" 6 "Lower special secondary" 7 "Higher general secondary" 8 "Higher technical secondary" 9 "Higher vocational secondary" 10 "Higher special secondary" 11 "Non-university,higher,short" 12 "Non-university,higher,long" 13 "University" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL fr_degr "Country specific education: France". VALUE LABELS fr_degr 0 "NAP, other countries" 1 "None" 2 "Primary incomplete" 3 "Primary completed" 4 "General secondary level 1" 5 "Vocat.sec. level 1" 6 "Voc. sec. level 2" 7 "Incompl gen.sec. level 2" 8 "General sec.level 2" 9 "College" 10 "University" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL gb_degr "Country specific education: Britain". VALUE LABELS gb_degr 0 "NAP, other countries" 1 "No sec. qualifications" 2 "CSE, GCSE or equivalent" 3 "O-level or equivalent" 4 "A-level or equivalent" 5 "Higher below degree level" 6 "Degree, university o CNAA o diploma" 7 "Foreign or other" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL hr_degr "Country specific education: Croatia". VALUE LABELS hr_degr 0 "NAP, other countries" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL hu_degr "Country specific education: Hungary". VALUE LABELS hu_degr 0 "NAP, other countries" 1 "Less than primary" 2 "8 years elementary" 3 "Vocational" 4 "Vocational+maturity" 5 "Gymnasium+ maturity" 6 "Sec. techn after maturity" 7 "High tech after maturity" 8 "College" 9 "University" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL ie_degr "Country specific education: Ireland". VALUE LABELS ie_degr 0 "NAP, other countries" 1 "None" 2 "Incomplete primary education" 3 "Primary completed, compulsory" 4 "Some second level" 5 "Completed first cycle" 6 "Secondary completed" 7 "Incomplete third level" 8 "Certif or Diploma" 9 "University first degree" 10 "University higher degree" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL il_degr "Country specific education: Israel". VALUE LABELS il_degr 0 "NAP, other countries" 1 "No formal schooling" 2 "Lowest formal qualification" 3 "Incompl vocational" 4 "Vocational completed without matriculation" 5 "Vocational completed with matriculation" 6 "Incomplete academic secondary" 7 "Full general without matriculation" 8 "Academic secondary completed" 9 "Yeshiva without matriculation" 10 "Yeshiva with matriculation" 11 "Semi higher, post secondary" 12 "Incpl university" 13 "University compl, BA or more" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL jp_degr "Country specific education: Japan". VALUE LABELS jp_degr 0 "NAP, other countries" 1 "Junior High school completed" 2 "High school completed" 3 "Junior college completed" 4 "Finished university" 5 "Still at High school" 6 "Still at Junior college" 7 "Others" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL kr_degr "Country specific education: South Korea". VALUE LABELS kr_degr 0 "NAP, other countries" 1 "Elementary incompleted" 2 "Elementary completed" 3 "Middle school incompleted" 4 "Middle school completed" 5 "High school incompleted" 6 "High school completed" 7 "Junior college incompleted" 8 "Junior college completed" 9 "University incompleted" 10 "University completed" 11 "Graduate school incompleted" 12 "Graduate school completed" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL lv_degr "Country specific education: Latvia". VALUE LABELS lv_degr 0 "NAP, other countries" 1 "Incomplete primary" 2 "Primary completed" 3 "Incompl sec, voc traing" 4 "Secondary completed" 5 "Voc with sec qualif" 6 "Incompl university" 7 "University completed" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL mx_degr "Country specific education: Mexico". VALUE LABELS mx_degr 0 "NAP, other countries" 1 "None, still at school" 2 "Primary school completed" 3 "Technical traing without sec. qualif" 4 "Secondary school completed" 5 "Technical traing after sec. qualif" 6 "High school completed" 7 "Technical traing after high school qualif" 8 "University completed" 9 "Master, doctorate degree" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL nl_degr "Country specific education: Netherlands". VALUE LABELS nl_degr 0 "NAP, other countries" 1 "None, incomplete primary" 2 "Primary compulsory,basic educ,, compuls" 3 "Lower vocational" 4 "Lower academic, MAVO-MULO-VMBot" 5 "Middle academic, HAVO-MMS" 6 "Higher academic, VWO-HBS-Athen_Gymn" 7 "Middle vocational, MBO" 8 "Higher vocational" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL no_degr "Country specific education: Norway". VALUE LABELS no_degr 0 "NAP, other countries" 1 "Primary completed" 2 "Secondary,vocational,incomplete" 3 "Secondary,academic, incomplete" 4 "Secondary,vocational, complete" 5 "Secondary,academic, complete" 6 "Univ, college <1 yr" 7 "Univ, college 1-2 yrs" 8 "Univ, college 3-4 yrs" 9 "Univ, college >=5 yrs" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL nz_degr "Country specific education: New Zealand". VALUE LABELS nz_degr 0 "NAP, other countries" 1 "No formal qualification" 2 "School qualification only" 3 "Trade or professional certificate" 4 "Diploma below Bachelor" 5 "Bachelor degree" 6 "Post-graduate qualification or higher" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL ph_degr "Country specific education: Philippines". VALUE LABELS ph_degr 0 "NAP, other countries" 1 "No formal education" 2 "Incomplete primary" 3 "Primary completed" 4 "Incomplete secondary" 5 "Secondary completed" 6 "Some Vocational" 7 "Completed Vocational" 8 "Some College" 9 "Completed College" 10 "Post college" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL pl_degr "Country specific education: Poland". VALUE LABELS pl_degr 0 "NAP, other countries" 1 "No formal schooling" 2 "Incompl elementary" 3 "Elementary" 4 "Basic vocational" 5 "Incomplete secondary" 6 "Secondary general" 7 "Secondary vocational" 8 "Post secondary" 9 "Incomplete higher" 10 "Completed higher" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL pt_degr "Country specific education: Portugal". VALUE LABELS pt_degr 0 "NAP, other countries" 1 "No formal schooling" 2 "Basic level 1" 3 "Basic level 2 and 3" 4 "Secondary incomplete" 5 "Secondary compl., 12 yrs" 6 "University incompl" 7 "University complete" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL ru_degr "Country specific education: Russia". VALUE LABELS ru_degr 0 "NAP, other countries" 1 "Primary education complete" 2 "Incomplete secondary education" 3 "Secondary completed" 4 "Incomplete higher education" 5 "Semi-higher qualification" 6 "Higher education, University completed" 7 "Higher education with academic degree" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL se_degr "Country specific education: Sweden". VALUE LABELS se_degr 0 "NAP, other countries" 1 "Primary or comprehensive school" 2 "Vocational school (1972-92)" 3 "Vocational school (post 1992)" 4 "Vocational school (pre 1972)" 5 "Alternative secondary school" 6 "Lower secondary school" 7 "3 or 4 year gymnasium" 8 "Gymnasium (academic)" 9 "Higher secondary school" 10 "University studies without degree" 11 "University degree" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL si_degr "Country specific education: Slovenia". VALUE LABELS si_degr 0 "NAP, other countries" 1 "Incomplete primary" 2 "Primary completed" 3 "Incomplete vocational" 4 "2-3 yrs vocational" 5 "4 yrs secondary school" 6 "Incomplete university" 7 "Higher degree completed" 8 "University completed" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL sk_degr "Country specific education: Slovakian Republic". VALUE LABELS sk_degr 0 "NAP, other countries" 1 "Elemantary" 2 "Vocational" 3 "Secondary" 4 "University" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL tr_degr "Country specific education: Turkey". VALUE LABELS tr_degr 0 "NAP, other countries" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL tw_degr "Country specific education: Taiwan". VALUE LABELS tw_degr 0 "NAP, other countries" 1 "None" 2 "Self-study" 3 "Elementary school" 4 "Junior high school" 5 "Vocational junior high school" 6 "Senior high school general" 7 "Senior high school vocat subject" 8 "Vocational senior high school" 9 "Cadet school,senior high level" 10 "5 yrs junior college, after junior high" 11 "2 yrs junior college after vocat" 12 "3 yrs junior college, after high general" 13 "Military,police junior college, 1 year" 14 "Military, police college, 2 years" 15 "Open junior college" 16 "Military,police college" 17 "2 or 4 yrs institute of technology" 18 "Graduate school,college graduate" 19 "Graduate school, master degree" 20 "Graduate school, doctorate degree, PhD degree" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL us_degr "Country specific education: USA". VALUE LABELS us_degr 0 "NAP, other countries" 1 "Less th High school" 2 "High school" 3 "Junior college" 4 "Bachelor" 5 "Graduate" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL uy_degr "Country specific education: Uruguay". VALUE LABELS uy_degr 0 "NAP, other countries" 1 "None" 2 "Incomplete primary school" 3 "Completed primary school" 4 "Incomplete secondary" 5 "Completed secondary" 6 "Incomplete technical education" 7 "Completed technical education" 8 "Incomplete university" 9 "Completed university" 10 "Incomplete non university high education" 11 "Completed non university high education" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL ve_degr "Country specific education: Venezuela". VALUE LABELS ve_degr 0 "NAP, other countries" 1 "None" 2 "Before primary school" 3 "Basic school (1-9) / Primary (1-6)" 4 "Special education" 5 "High school (1-2)" 6 "Technical school (1-3)" 7 "Secondary school (1-5)" 8 "University technician" 9 "University completed" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL za_degr "Country specific education:South Africa". VALUE LABELS za_degr 0 "NAP, other countries" 1 "No formal qualification" 2 "Lowest formal qualification" 3 "Above lowest qualification, grade 11" 4 "grade 12" 5 "Diploma with grade 12" 6 "Degree, Post-graduate" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL wrkst "R: Current employment status". VALUE LABELS wrkst 0 "Not available" 1 "Employed-full time" 2 "Employed-part time" 3 "Empl-< part-time" 4 "Helpg family member" 5 "Unemployed" 6 "Studt,school,vocat.traing" 7 "Retired" 8 "Housewife,-man,home duties" 9 "Permanently disabled" 10 "Other,not in labour force" 98 "Dont know" 99 "NA" . VARIABLE LABEL wrkhrs "R: Hours worked weekly". VALUE LABELS wrkhrs 0 "NAV;NAP" 96 "96 and more" 97 "Refused" 98 "DK,cant say,varies too much" 99 "NA" . VARIABLE LABEL isco88 "R: Occupation ILO,ISCO 1988 4-digit". VALUE LABELS isco88 0 "NAP,NAV" 1 "D:Soldiers" 2 "D:Officers" 100 "Armed forces" 110 "Armed forces" 111 "N:Soldiers" 112 "N:Officers" 1000 "Legislators,senior off.+managers" 1100 "Legislators and senior officials" 1110 "Legislators" 1120 "Senior government official" 1130 "Traditional chiefs+heads of villages" 1140 "Sen.officials of interest organisation" 1141 "Sen.officials of pol.party" 1142 "Sen.officials of empl+workers org" 1143 "Sen.off.of human+other interest org" 1200 "Corporate managers" 1210 "Directors and chief executives" 1220 "Production+operations dep.manager" 1221 "Prod.+oper.managers in agriculture" 1222 "Prod.+oper.managers:manufacturing" 1223 "Prod.+oper.managers:construction" 1224 "Prod.+oper.managers:retail trade" 1225 "Prod.+oper.managers:hotels rest." 1226 "Prod.+oper.managers:transport,comm" 1227 "Prod.+oper.managers:business serv." 1228 "Prod.+oper.managers:cleaning" 1229 "Prod.+oper.dep. managers nec" 1230 "Other department managers" 1231 "Finance+administration dep.managers" 1232 "Personnel+industrial rel.dep.managers" 1233 "Sales+marketing dep.managers" 1234 "Advertising+pub.relations dep.managers" 1235 "Supply+distribution dep.managers" 1236 "Computing services dep.managers" 1237 "Research+development dep.managers" 1238 "Other department managers nec" 1239 "Other department managers" 1240 "USA:Misc.office supervisors" 1250 "PL:Military officer" 1251 "H,PL:High-grade military officer" 1252 "H,PL:Low-grade commissioned officer" 1300 "General managers" 1310 "General managers" 1311 "General managers in agriculture" 1312 "General managers in manufacture" 1313 "General managers in construction" 1314 "Gen.managers in wholesale+retail trade" 1315 "Gen.managers of rest.+hotels" 1316 "Gen.managers in transport+comm." 1317 "General managers of business services" 1318 "Gen.managers in personal care,cleaning" 1319 "General managers nec" 1320 "N:Managers in non-specific trade areas" 2000 "Professionals" 2100 "Physical,math.+engineering science" 2110 "Physicists,chemists+rel.professionals" 2111 "Physicists, and astronomers" 2112 "Meteorologists" 2113 "Chemists" 2114 "Geologists and geophysicists" 2120 "Mathematicians, statisticians+rel.prof" 2121 "Mathematiciians and related prof" 2122 "Statisticians" 2130 "Computing professionals" 2131 "Computing systems designers+analysts" 2132 "Computer programmers" 2139 "Computing professionals n.e.c." 2140 "Architects,engineers+rel.profess" 2141 "Architects, town+traffic planners" 2142 "Civil engineers" 2143 "Electrical engineers" 2144 "Electronics+telecomm.engineers" 2145 "Mechanical engineers" 2146 "Chemical engineers" 2147 "Mining engineers,metallurgists+rel" 2148 "Cartographers and surveyors" 2149 "Architects,engineers+rel.prof" 2199 "Other natural scientist" 2200 "Life science+health professionals" 2210 "Life science professionals" 2211 "Biologist,botanist,zoologist+rel" 2212 "Pharmacologists, pathologists" 2213 "Agronomists+related professionals" 2220 "Health professionals" 2221 "Medical doctors" 2222 "Dentists" 2223 "Veterinarians" 2224 "Pharmacists" 2229 "Health professionals n.e.c." 2230 "Nursing+midwifery professionals" 2300 "Teaching professionals" 2310 "College,uni+higher educ.teacher" 2320 "Secondary education teacher" 2321 "H:Secondary (high)-school teacher" 2322 "H:Teacher in vocational training" 2330 "Primary+pre-primary educ.teacher" 2331 "Primary educ.teaching prof" 2332 "Pre-primary educ.teaching prof" 2340 "Special educ.teaching profess" 2350 "Other teaching profess,nec" 2351 "Education methods specialists" 2352 "School inspectors" 2359 "Extra-systemic. teacher" 2400 "Other professionals" 2410 "Business professionals" 2411 "Accountants" 2412 "Personnel+careers professionals" 2419 "Business professionals n.e.c" 2420 "Legal professionals" 2421 "Lawyers" 2422 "Judges" 2429 "Legal professionals nec" 2430 "Archivists,librarians+rel.info.prof" 2431 "Archivists and curators" 2432 "Librarians+rel.information prof." 2440 "Social science+rel. prof." 2441 "Economists" 2442 "Sociologists,anthropologists+rel" 2443 "Philosophers,historians+pol.scientist" 2444 "Philologists,translators+interpreter" 2445 "Psychologists" 2446 "Social work professionals" 2450 "Writers and creative artists" 2451 "Authors,journalists+other writers" 2452 "Sculptors, painters+rel.artists" 2453 "Composers, musicians+singers" 2454 "Choreographers and dancers" 2455 "Film, stage+rel.actors+directors" 2460 "Religious professionals" 2470 "Public service administrative prof" 2500 "Education prof. n.e.c." 2510 "N:Soc.scientific,juridical+techn.planng" 2511 "N:Economical+soc.scientific planng" 2512 "N:Juridical planning" 2513 "N:Technical+scientific planng" 2519 "N:Others within this group" 3000 "Technicians and related prof." 3100 "Physical+engineering science techn." 3110 "Physical+engineering science techn." 3111 "Chemical+physical science techn." 3112 "Civil engineering technicians" 3113 "Electrical engineering technicians" 3114 "Electronics+telecommunication techn" 3115 "Mechanical engineering technicians" 3116 "Chemical engineering technicians" 3117 "Mining and metallurgical techn." 3118 "Draughtspersons" 3119 "Physical+engin.science techn.nec" 3120 "Computer associate professionals" 3121 "Computer assistants" 3122 "Computer equipment operators" 3123 "Industrial robot controllers" 3130 "Optical+electronic equipement oper" 3131 "Photographers+image+sound oper" 3132 "Broadcasting+telecommunications oper" 3133 "Medical equipment operators" 3139 "Optical+electronic operators nec" 3140 "Ship,aircraft controllers+techn." 3141 "Ships engineers" 3142 "Ships deck officers and pilots" 3143 "Aircraft pilots+rel. professionals" 3144 "Air traffic pilots" 3145 "Air traffic safety technicians" 3150 "Safety and quality inspectors" 3151 "Building and fire inspectors" 3152 "Safety, health+quality inspectors" 3200 "Life science+health ass.profess" 3210 "Life science technicians+rel.prof" 3211 "Life science technicians" 3212 "Agronomy and forestry technicians" 3213 "Farming and forestry advisers" 3220 "Modern health ass.professionals" 3221 "Medical assistants" 3222 "Sanitarians" 3223 "Dieticians and nutritionists" 3224 "Optometrists and opticians" 3225 "Dental assistants" 3226 "Physiotherapists+rel.ass.profess" 3227 "Veterinary assistants" 3228 "Pharmaceutical assistants" 3229 "Modern health ass.profess.nec" 3230 "Nursing+midwifery ass.professionals" 3231 "Nursing associate professionals" 3232 "Midwifery associate professionals" 3240 "Trad.medicine practitioner+faith healer" 3241 "Traditional medicine practitioners" 3242 "Faith healers" 3300 "Teaching associate professionals" 3310 "Primary educ.teachg ass.prof." 3320 "Pre-primary educ. teachg ass. prof." 3330 "Spec.educ. teaching ass. prof." 3340 "Other teaching associate profess" 3341 "N:Teachers in technical college" 3342 "N:Other educational occ" 3400 "Other associate professionals" 3410 "Finance+sales associate professionals" 3411 "Securities+finance dealers and brokers" 3412 "Insurance representatives" 3413 "Estate agents" 3414 "Travel consultants and organisers" 3415 "Technical+commercial sales represent" 3416 "Buyers" 3417 "Appraisers,valuers+auctioneers" 3418 "N:Customer consultant in a bank" 3419 "Finance+sales ass.professionals nec" 3420 "Business services agents+trade broker" 3421 "Trade brokers" 3422 "Clearing and forwarding agents" 3423 "Employment agents+labour contractors" 3429 "Other business services agents nec" 3430 "Administrative ass.professionals" 3431 "Administrative secretaries+rel.prof" 3432 "Legal+rel.business ass. profess" 3433 "Bookkeepers" 3434 "Statistical,mathematical+rel.prof" 3439 "Administrative ass.profess. nec" 3440 "Customs,tax+rel.government prof" 3441 "Customs and border inspectors" 3442 "Government tax and excise officials" 3443 "Government social benefits officials" 3444 "Government licensing officials" 3445 "N:Public employment service worker" 3449 "Customs,tax+rel. government prof nec" 3450 "Police inspectors and detectives" 3452 "H,PL:Armed forces non-commiss. officer" 3460 "Social work associate professionals" 3470 "Artistic,entertainment+sports prof" 3471 "Decorators and commercial designers" 3472 "Radio,television+other announcers" 3473 "Musicians,singers,dancers" 3474 "Clowns,magicians,acrobates+rel.prof" 3475 "Athletes,sportspersons+rel.prof" 3480 "Religious associate professionals" 3491 "N:Informationworker+journalist" 3492 "N:Librarians" 4000 "Office worker,clerks" 4100 "Office clerks" 4110 "Secretaries+keyboard-operating clerks" 4111 "Stenographers and typists" 4112 "Word-processor and rel.operators" 4113 "Data entry operators" 4114 "Calculating machine operators" 4115 "Secretaries" 4116 "N:Clerical officer" 4120 "Numerical clerks" 4121 "Accounting and bookkeeping clerks" 4122 "Statistical and finance clerks" 4130 "Material-recording+transport clerks" 4131 "Stock clerks" 4132 "Production clerks" 4133 "Transport clerks" 4140 "Library, mail and related clerks" 4141 "Library and filing clerks" 4142 "Mail carriers and sorting clerks" 4143 "Coding, proof-reading+rel.clerks" 4144 "Scribes and related workers" 4190 "Other office clerks" 4200 "Customer services clerks" 4210 "Cashiers, tellers and rel.clerks" 4211 "Cashiers and ticket clerks" 4212 "Tellers and other counter clerks" 4213 "Bookmakers and croupiers" 4214 "Pawnbrokers and money-lenders" 4215 "Debt-collectors and related workers" 4220 "Client information clerks" 4221 "Travel agency and related clerks" 4222 "Receptionists+information clerks" 4223 "Telephone switchboard operators" 4300 "Office helping workers" 4400 "Post office,higher civil service" 4500 "Railway official,higher civil service" 5000 "Personal service, sale" 5100 "Personal+protective services workers" 5110 "Travel attendents+related workers" 5111 "Travel attendents+travel stewards" 5112 "Transport conductors" 5113 "Travel guides" 5120 "Housekeeping+rest. services workers" 5121 "Housekeepers and related workers" 5122 "Cooks" 5123 "Waiters, waitresses and bartenders" 5130 "Personal care and related workers" 5131 "Child care workers" 5132 "Institution-based personal care workers" 5133 "Home-based personal care workers" 5134 "N:Dental secretaries" 5135 "N:Medical secretaries" 5136 "N:Childminders etc" 5139 "Personal care+related workers nec" 5140 "Other personal services workers" 5141 "Hairdressers,beauticians+rel.workers" 5142 "Companions and valets" 5143 "Undertakers and embalmers" 5149 "Other personal services workers nec" 5150 "Astrologers,fortune-tellers" 5151 "Astrologers and related workers" 5152 "Fortune-tellers+related workers" 5160 "Protective services workers" 5161 "Fire-fighters" 5162 "Police officers" 5163 "Prison guards" 5164 "N:Caretakers, houseporters" 5169 "Protective services workers nec" 5200 "Models,salespersons+demonstrators" 5210 "Fashion and other models" 5220 "Shop salespersons and demonstrators" 5221 "N:Shop staff, sales staff+other" 5222 "N:Door-to-door+telephone salesmen" 5223 "N:Wholesale merchants" 5230 "Stall and market salespersons" 6000 "Skilled agricultural+fishery worker" 6100 "Market-orient.agric.skilled worker" 6110 "Market gardeners and crop growers" 6111 "Field crop and vegetable growers" 6112 "Tree and shrub crop growers" 6113 "Gardeners,hortic.+nursery growers" 6114 "Mixed-crop growers" 6120 "Market-oriented animal producers" 6121 "Dairy and livestock producers" 6122 "Poultry producers" 6123 "Apiarists and sericulturists" 6124 "Mixed animal producers" 6129 "Market-oriented animal producers nec" 6130 "Market-oriented crop animal producer" 6132 "USA: Farmers" 6133 "USA: Farm supervisors" 6140 "Forestry and related worker" 6141 "Forestry workers and logger" 6142 "Charcoal burners and related worker" 6150 "Fishery workers,hunters+trappers" 6151 "Aquatic-life cultivation worker" 6152 "Inland+coastal waters fishery worker" 6153 "Deep-sea fishery worker" 6154 "Hunters and trappers" 6200 "Subsistence agricultural+fishery worker" 6210 "Subsistence agricultural+fishery worker" 7000 "Craft and trade workers" 7100 "Extraction and building trades worker" 7110 "Miners,shotfirers,stone cutters+carvers" 7111 "Miners and quarry workers" 7112 "Shotfirers and blasters" 7113 "Stone splitters, cutters and carvers" 7120 "Building frame+related trades workers" 7121 "Builders, traditional materials" 7122 "Bricklayers and stonemasons" 7123 "Concrete placers,finishers+rel" 7124 "Carpenters and joiners" 7125 "N:Joiner, formwork" 7126 "N:Carpenters" 7127 "N:Foundation workers" 7128 "N:Tunnel+mountain workers" 7129 "Building frame+rel.trades workers nec" 7130 "Building finishers+rel.trades workers" 7131 "Roofers" 7132 "Floor layers and tile setters" 7133 "Plasterers" 7134 "Insulation workers" 7135 "Glaziers" 7136 "Plumbers and pipe fitters" 7137 "Building+rel.electricians" 7139 "Building finishers+rel.trade workers" 7140 "Painters,building cleaners+rel worker" 7141 "Painters and related workers" 7142 "Varnishers and related painters" 7143 "Building structure cleaners" 7144 "N:Chimney sweepers" 7200 "Metal,machinery+rel.trades workers" 7210 "Metal moulders,sheetmetal workers+rel" 7211 "Metal moulders vand coremakers" 7212 "Welders and flamecutters" 7213 "Sheet-metal workers" 7214 "Structural-metal preparers+erectors" 7215 "Riggers and cable splicers" 7216 "Underwater workers" 7217 "N:Car+airstructure mechanics" 7220 "Blacksmiths,tool-makers+rel.trade" 7221 "Blacksmiths+forging-press worker" 7222 "Tool-makers and related workers" 7223 "Machine-tool setters+setter-operators" 7224 "Metal wheel-grinders+tool sharpeners" 7230 "Machinery mechanics and fitters" 7231 "Motor vehicle mechanics and fitters" 7232 "Aircraft engine mechanics and fitters" 7233 "Agricultural-industrial mechanics" 7234 "N:Shipmechanics etc" 7240 "Electrical+electronic equipm.mechanic" 7241 "Electrical mechanics and fitters" 7242 "Electronics fitters" 7243 "Electronics mechanics+servicers" 7244 "Telegraph+telephone installers+service" 7245 "Electrical line installers,repairers" 7300 "Precision,handicraft,printing+other" 7310 "Precision metal workers+rel.materials" 7311 "Precision-instrument makers+repairers" 7312 "Musical-instrument makers+tuners" 7313 "Jewellery and precious-metal workers" 7320 "Potters,glass-makers+rel.trades worker" 7321 "Abrasive wheel formers,potters+rel." 7322 "Glass-makers,cutters+finishers" 7323 "Glass engravers and etchers" 7324 "Glass,ceramics+rel.decorative painter" 7330 "Handicraft in wood,textile a.s." 7331 "Handicraft in wood+rel.materials" 7332 "Handicraft in textile,leather+rel" 7340 "Printing+related trades workers" 7341 "Compositors,typesetters+rel.worker" 7342 "Stereotypers,electrotypers" 7343 "Printing engravers and etchers" 7344 "Photographic+related workers" 7345 "Bookbinders+related workers" 7346 "Silk-screen,block+textile printers" 7350 "N:Technical drawers" 7400 "Other craft+rel.trades workers" 7410 "Food processing+rel.trades workers" 7411 "Butchers+rel.food preparers" 7412 "Bakers+confectionary makers" 7413 "Dairy-products makers" 7414 "Fruit,vegetable+related preservers" 7415 "Food+beverage tasters+graders" 7416 "Tobacco preparers+tobacco prod.maker" 7420 "Wood treaters+rel.trades" 7421 "Wood treaters" 7422 "Cabinet-makers+related workers" 7423 "Woodworking-machine setters+operators" 7424 "Basketry weavers+rel.worker" 7430 "Textile,garment+rel.trades workers" 7431 "Fibre preparers" 7432 "Weavers,knitters+related workers" 7433 "Tailors,dressmakers+hatters" 7434 "Furriers and related workers" 7435 "Textile,leather+rel.pattern-makers" 7436 "Sewers, embroiderers+rel.workers" 7437 "Upholsterers and related workers" 7440 "Pelt,leather+shoemaking trades worker" 7441 "Pelt dressers,tanners+fellmongers" 7442 "Shoemakers+rel.workers" 7450 "N:Laboratory assistants" 7500 "Metal worker general" 7510 "Metal worker nec" 7520 "Electronics engineers nec" 7900 "Master craftsmen,supervisor" 8000 "Plant+machine operators" 8100 "Stationary-plant+related operators" 8110 "Mining+mineral-proc.-plant operator" 8111 "Mining-plant operators" 8112 "Mineral-ore+stone-proc.-plant oper" 8113 "Well drillers+borers+related workers" 8120 "Metal-processing-plant operators" 8121 "Ore ad metal furnace operators" 8122 "Metal melters,casters" 8123 "Metal-heat-treating-plant operator" 8124 "Metal drawers and extruders" 8130 "Glass,ceramics+rel.plant operators" 8131 "Glass,ceramics+rel.machine operator" 8132 "N:Operators in insul.glass prod" 8139 "Glass,ceramics+rel.plant operators nec" 8140 "Wood-processing+papermaking-plant oper" 8141 "Wood-processing-plant operators" 8142 "Paper-pulp plant operators" 8143 "Papermaking-plant operators" 8150 "Chemical-processing-plant operators" 8151 "Crushing-,grinding mach.operator" 8152 "Chemical-heat-treating-plant oper" 8153 "Chemical-filtering-equipment oper" 8154 "Chemical-still+reactor operators" 8155 "Petroleum+natural-gas-refing-plant oper" 8159 "Chemical-processing-plant oper,nec" 8160 "Power-production+rel.plant operators" 8161 "Power-production plant operators" 8162 "Steam-engine and boiler operators" 8163 "Icinerator,water-treatment+rel.oper" 8170 "Auto.-assembly-line+ind.-robot oper" 8171 "Automated-assembly-line operators" 8172 "Industrial-robot operators" 8200 "Machine operators and assemblers" 8210 "Metal+mineral-products machine oper" 8211 "Machine-tool operators" 8212 "Cement+o.mineral products machine oper" 8220 "Chemical-products machine operators" 8221 "Pharma.products machine operator" 8222 "Ammunition products machine operator" 8223 "Metal finishing+coating-machine oper" 8224 "Photographic-products machine operator" 8229 "Chemical-products machine oper.nec" 8230 "Rubber+plastic-products machine oper" 8231 "Rubber-products machine oper" 8232 "Plastic-products machine operators" 8240 "Wood-products machine operators" 8250 "Printing+paper-products machine oper" 8251 "Printing-machine operators" 8252 "Bookbinding-machine operators" 8253 "Paper-products machine operators" 8260 "Textile+leather-products machine oper" 8261 "Spinning+winding-machine operators" 8262 "Weaving+knitting-machine operators" 8263 "Sewing-machine operators" 8264 "Bleaching+cleaning-machine operators" 8265 "Fur+leather-preparing-machine operator" 8266 "Shoemaking+related machine operator" 8269 "Textile products machine operators nec" 8270 "Food+rel.products machine operators" 8271 "Meat+fish-processing-machine operator" 8272 "Dairy-products machine operators" 8273 "Grain+spice-milling-machine operator" 8274 "Baked-goods+chocolate-products m-oper" 8275 "Fruit+nut-processing-machine oper" 8276 "Sugar production machine operators" 8277 "Tea,coffee+cocoa-processing-m.oper" 8278 "Beverage machine operators" 8279 "Tobacco production machine operators" 8280 "Assemblers" 8281 "Mechanical-machinery assemblers" 8282 "Electrical-equipment assemblers" 8283 "Electronic-equipment assemblers" 8284 "Metal+plastic-products assemblers" 8285 "Wood+rel.products assemblers" 8286 "Paperboard,textile+rel.prod.assembler" 8287 "Composite products assemblers" 8290 "Other machine operators+assemblers" 8300 "Drivers and mobile-plant operators" 8310 "Locomotive-engine drivers+rel.workers" 8311 "Locomotive-engine drivers" 8312 "Railway brakers,signallers+shunters" 8320 "Motor-vehicle drivers" 8321 "Motor-cycle drivers" 8322 "Car, taxi and van drivers" 8323 "Bus and tram drivers" 8324 "Heavy truck and lorry drivers" 8330 "Agricultural+other mobile-plant oper" 8331 "Motorised farm+forestry plant oper." 8332 "Earth-moving+rel.plant operators" 8333 "Crane, hoist and related plant oper" 8334 "Lifting-truck operators" 8340 "Ships deck crews and rel.workers" 8341 "N:Deck crew, ship" 8342 "N:Engine crew, ship" 9000 "Elementary occ.+unskilled workers" 9100 "Sales+services elementary occupation" 9110 "Street vendors and related workers" 9111 "Street food vendors" 9112 "Street vendors, non-food products" 9113 "Door-to-door,telephone salesperson" 9120 "Shoe cleaning+other street services" 9130 "Domestic+rel.helpers" 9131 "Domestic helpers and cleaners" 9132 "Helpers+cleaners in offices, hotels" 9133 "Hand-launderers and pressers" 9134 "N:Kitchen+serv.assistants" 9140 "Building caretakers,window+rel.cleaner" 9141 "Building caretakers" 9142 "Vehicle, window+related cleaners" 9150 "Messengers,porters,doorkeepers+rel." 9151 "Messengers,package,luggage porters" 9152 "Doorkeepers,watchpersons" 9153 "Vending-machine money collectors" 9160 "Garbage collectors+rel.labourers" 9161 "Garbage collectors" 9162 "Sweepers and related labourers" 9200 "Agricultural,fishery+rel.labourers" 9210 "Agricultural,fishery+rel.labourers" 9211 "Farm-hands and labourers" 9212 "Forestry labourers" 9213 "Fishery, hunting+trapping labourers" 9300 "Labour. mining,constr.,manufacturing" 9310 "Mining and construction labourers" 9311 "Mining and quarrying labourers" 9312 "Construction+maintenance labourers" 9313 "Building construction labourers" 9320 "Manufacturing labourers" 9321 "Assembling labourers" 9322 "Hand packers+other manufacturing lab" 9330 "Transport labourers+freight handlers" 9331 "Hand or pedal vehicle drivers" 9332 "Drivers of animal-drawn vehicles+machines" 9333 "Freight handlers" 9996 "Not classifiable;inadeq described" 9997 "Refused" 9998 "Dont know" 9999 "NA" . VARIABLE LABEL wrktype "R: Workg f priv.,pub sector, selfempl.". VALUE LABELS wrktype 0 "NAP,NAV" 1 "Work f government" 2 "Public owned firm,nat.ind" 3 "Private firm, others" 4 "Self employed" 9 "NA, dont know" . VARIABLE LABEL nemploy "R: Self-employed - number of employees". VALUE LABELS nemploy 0 "NAV,NAP" 9995 "No employee" 9997 "Refused" 9998 "Dont know" 9999 "NA" . VARIABLE LABEL wrksup "R: Supervises others at work". VALUE LABELS wrksup 0 "NAP,NAV" 1 "Yes,supervises" 2 "No,do n supervise" 7 "Refused" 8 "Dont know" 9 "NA" . VARIABLE LABEL union "R: Trade union membership". VALUE LABELS union 0 "NAP, NAV" 1 "Currently member" 2 "Once member, not now" 3 "Never member" 8 "Dont know" 9 "NA, refused" . VARIABLE LABEL spwrkst "S-P: Current employment status". VALUE LABELS spwrkst 0 "NAV;N mar;n spou/partn" 1 "F-t empl,main job" 2 "P-t empl,main job" 3 "Less part-time" 4 "Help family member" 5 "Unemployed" 6 "Studt,school,educ" 7 "Retired" 8 "Housewife,-man,home duties" 9 "Permanently disabled" 10 "Other,not in lab force" 97 "Refused" 98 "Dont know" 99 "NA" . VARIABLE LABEL spisco88 "S-P: Occupation ILO,ISCO 1988 4-digit". VALUE LABELS spisco88 0 "NAP,NAV" 1 "D:Soldiers" 2 "D:Officers" 100 "Armed forces" 110 "Armed forces" 111 "N:Soldiers" 112 "N:Officers" 1000 "Legislators,senior off.+managers" 1100 "Legislators and senior officials" 1110 "Legislators" 1120 "Senior government official" 1130 "Traditional chiefs+heads of villages" 1140 "Sen.officials of interest organisation" 1141 "Sen.officials of pol.party" 1142 "Sen.officials of empl+workers org" 1143 "Sen.off.of human+other interest org" 1200 "Corporate managers" 1210 "Directors and chief executives" 1220 "Production+operations dep.manager" 1221 "Prod.+oper.managers in agriculture" 1222 "Prod.+oper.managers:manufacturing" 1223 "Prod.+oper.managers:construction" 1224 "Prod.+oper.managers:retail trade" 1225 "Prod.+oper.managers:hotels rest." 1226 "Prod.+oper.managers:transport,comm" 1227 "Prod.+oper.managers:business serv." 1228 "Prod.+oper.managers:cleaning" 1229 "Prod.+oper.dep. managers nec" 1230 "Other department managers" 1231 "Finance+administration dep.managers" 1232 "Personnel+industrial rel.dep.managers" 1233 "Sales+marketing dep.managers" 1234 "Advertising+pub.relations dep.managers" 1235 "Supply+distribution dep.managers" 1236 "Computing services dep.managers" 1237 "Research+development dep.managers" 1238 "Other department managers nec" 1239 "Other department managers" 1240 "USA:Misc.office supervisors" 1250 "PL:Military officer" 1251 "H,PL:High-grade military officer" 1252 "H,PL:Low-grade commissioned officer" 1300 "General managers" 1310 "General managers" 1311 "General managers in agriculture" 1312 "General managers in manufacture" 1313 "General managers in construction" 1314 "Gen.managers in wholesale+retail trade" 1315 "Gen.managers of rest.+hotels" 1316 "Gen.managers in transport+comm." 1317 "General managers of business services" 1318 "Gen.managers in personal care,cleaning" 1319 "General managers nec" 1320 "N:Managers in non-specific trade areas" 2000 "Professionals" 2100 "Physical,math.+engineering science" 2110 "Physicists,chemists+rel.professionals" 2111 "Physicists, and astronomers" 2112 "Meteorologists" 2113 "Chemists" 2114 "Geologists and geophysicists" 2120 "Mathematicians, statisticians+rel.prof" 2121 "Mathematiciians and related prof" 2122 "Statisticians" 2130 "Computing professionals" 2131 "Computing systems designers+analysts" 2132 "Computer programmers" 2139 "Computing professionals n.e.c." 2140 "Architects,engineers+rel.profess" 2141 "Architects, town+traffic planners" 2142 "Civil engineers" 2143 "Electrical engineers" 2144 "Electronics+telecomm.engineers" 2145 "Mechanical engineers" 2146 "Chemical engineers" 2147 "Mining engineers,metallurgists+rel" 2148 "Cartographers and surveyors" 2149 "Architects,engineers+rel.prof" 2199 "Other natural scientist" 2200 "Life science+health professionals" 2210 "Life science professionals" 2211 "Biologist,botanist,zoologist+rel" 2212 "Pharmacologists, pathologists" 2213 "Agronomists+related professionals" 2220 "Health professionals" 2221 "Medical doctors" 2222 "Dentists" 2223 "Veterinarians" 2224 "Pharmacists" 2229 "Health professionals n.e.c." 2230 "Nursing+midwifery professionals" 2300 "Teaching professionals" 2310 "College,uni+higher educ.teacher" 2320 "Secondary education teacher" 2321 "H:Secondary (high)-school teacher" 2322 "H:Teacher in vocational training" 2330 "Primary+pre-primary educ.teacher" 2331 "Primary educ.teaching prof" 2332 "Pre-primary educ.teaching prof" 2340 "Special educ.teaching profess" 2350 "Other teaching profess,nec" 2351 "Education methods specialists" 2352 "School inspectors" 2359 "Extra-systemic. teacher" 2400 "Other professionals" 2410 "Business professionals" 2411 "Accountants" 2412 "Personnel+careers professionals" 2419 "Business professionals n.e.c" 2420 "Legal professionals" 2421 "Lawyers" 2422 "Judges" 2429 "Legal professionals nec" 2430 "Archivists,librarians+rel.info.prof" 2431 "Archivists and curators" 2432 "Librarians+rel.information prof." 2440 "Social science+rel. prof." 2441 "Economists" 2442 "Sociologists,anthropologists+rel" 2443 "Philosophers,historians+pol.scientist" 2444 "Philologists,translators+interpreter" 2445 "Psychologists" 2446 "Social work professionals" 2450 "Writers and creative artists" 2451 "Authors,journalists+other writers" 2452 "Sculptors, painters+rel.artists" 2453 "Composers, musicians+singers" 2454 "Choreographers and dancers" 2455 "Film, stage+rel.actors+directors" 2460 "Religious professionals" 2470 "Public service administrative prof" 2500 "Education prof. n.e.c." 2510 "N:Soc.scientific,juridical+techn.planng" 2511 "N:Economical+soc.scientific planng" 2512 "N:Juridical planning" 2513 "N:Technical+scientific planng" 2519 "N:Others within this group" 3000 "Technicians and related prof." 3100 "Physical+engineering science techn." 3110 "Physical+engineering science techn." 3111 "Chemical+physical science techn." 3112 "Civil engineering technicians" 3113 "Electrical engineering technicians" 3114 "Electronics+telecommunication techn" 3115 "Mechanical engineering technicians" 3116 "Chemical engineering technicians" 3117 "Mining and metallurgical techn." 3118 "Draughtspersons" 3119 "Physical+engin.science techn.nec" 3120 "Computer associate professionals" 3121 "Computer assistants" 3122 "Computer equipment operators" 3123 "Industrial robot controllers" 3130 "Optical+electronic equipement oper" 3131 "Photographers+image+sound oper" 3132 "Broadcasting+telecommunications oper" 3133 "Medical equipment operators" 3139 "Optical+electronic operators nec" 3140 "Ship,aircraft controllers+techn." 3141 "Ships engineers" 3142 "Ships deck officers and pilots" 3143 "Aircraft pilots+rel. professionals" 3144 "Air traffic pilots" 3145 "Air traffic safety technicians" 3150 "Safety and quality inspectors" 3151 "Building and fire inspectors" 3152 "Safety, health+quality inspectors" 3200 "Life science+health ass.profess" 3210 "Life science technicians+rel.prof" 3211 "Life science technicians" 3212 "Agronomy and forestry technicians" 3213 "Farming and forestry advisers" 3220 "Modern health ass.professionals" 3221 "Medical assistants" 3222 "Sanitarians" 3223 "Dieticians and nutritionists" 3224 "Optometrists and opticians" 3225 "Dental assistants" 3226 "Physiotherapists+rel.ass.profess" 3227 "Veterinary assistants" 3228 "Pharmaceutical assistants" 3229 "Modern health ass.profess.nec" 3230 "Nursing+midwifery ass.professionals" 3231 "Nursing associate professionals" 3232 "Midwifery associate professionals" 3240 "Trad.medicine practitioner+faith healer" 3241 "Traditional medicine practitioners" 3242 "Faith healers" 3300 "Teaching associate professionals" 3310 "Primary educ.teachg ass.prof." 3320 "Pre-primary educ. teachg ass. prof." 3330 "Spec.educ. teaching ass. prof." 3340 "Other teaching associate profess" 3341 "N:Teachers in technical college" 3342 "N:Other educational occ" 3400 "Other associate professionals" 3410 "Finance+sales associate professionals" 3411 "Securities+finance dealers and brokers" 3412 "Insurance representatives" 3413 "Estate agents" 3414 "Travel consultants and organisers" 3415 "Technical+commercial sales represent" 3416 "Buyers" 3417 "Appraisers,valuers+auctioneers" 3418 "N:Customer consultant in a bank" 3419 "Finance+sales ass.professionals nec" 3420 "Business services agents+trade broker" 3421 "Trade brokers" 3422 "Clearing and forwarding agents" 3423 "Employment agents+labour contractors" 3429 "Other business services agents nec" 3430 "Administrative ass.professionals" 3431 "Administrative secretaries+rel.prof" 3432 "Legal+rel.business ass. profess" 3433 "Bookkeepers" 3434 "Statistical,mathematical+rel.prof" 3439 "Administrative ass.profess. nec" 3440 "Customs,tax+rel.government prof" 3441 "Customs and border inspectors" 3442 "Government tax and excise officials" 3443 "Government social benefits officials" 3444 "Government licensing officials" 3445 "N:Public employment service worker" 3449 "Customs,tax+rel. government prof nec" 3450 "Police inspectors and detectives" 3452 "H,PL:Armed forces non-commiss. officer" 3460 "Social work associate professionals" 3470 "Artistic,entertainment+sports prof" 3471 "Decorators and commercial designers" 3472 "Radio,television+other announcers" 3473 "Musicians,singers,dancers" 3474 "Clowns,magicians,acrobates+rel.prof" 3475 "Athletes,sportspersons+rel.prof" 3480 "Religious associate professionals" 3491 "N:Informationworker+journalist" 3492 "N:Librarians" 4000 "Office worker,clerks" 4100 "Office clerks" 4110 "Secretaries+keyboard-operating clerks" 4111 "Stenographers and typists" 4112 "Word-processor and rel.operators" 4113 "Data entry operators" 4114 "Calculating machine operators" 4115 "Secretaries" 4116 "N:Clerical officer" 4120 "Numerical clerks" 4121 "Accounting and bookkeeping clerks" 4122 "Statistical and finance clerks" 4130 "Material-recording+transport clerks" 4131 "Stock clerks" 4132 "Production clerks" 4133 "Transport clerks" 4140 "Library, mail and related clerks" 4141 "Library and filing clerks" 4142 "Mail carriers and sorting clerks" 4143 "Coding, proof-reading+rel.clerks" 4144 "Scribes and related workers" 4190 "Other office clerks" 4200 "Customer services clerks" 4210 "Cashiers, tellers and rel.clerks" 4211 "Cashiers and ticket clerks" 4212 "Tellers and other counter clerks" 4213 "Bookmakers and croupiers" 4214 "Pawnbrokers and money-lenders" 4215 "Debt-collectors and related workers" 4220 "Client information clerks" 4221 "Travel agency and related clerks" 4222 "Receptionists+information clerks" 4223 "Telephone switchboard operators" 4300 "Office helping workers" 4400 "Post office,higher civil service" 4500 "Railway official,higher civil service" 5000 "Personal service, sale" 5100 "Personal+protective services workers" 5110 "Travel attendents+related workers" 5111 "Travel attendents+travel stewards" 5112 "Transport conductors" 5113 "Travel guides" 5120 "Housekeeping+rest. services workers" 5121 "Housekeepers and related workers" 5122 "Cooks" 5123 "Waiters, waitresses and bartenders" 5130 "Personal care and related workers" 5131 "Child care workers" 5132 "Institution-based personal care workers" 5133 "Home-based personal care workers" 5134 "N:Dental secretaries" 5135 "N:Medical secretaries" 5136 "N:Childminders etc" 5139 "Personal care+related workers nec" 5140 "Other personal services workers" 5141 "Hairdressers,beauticians+rel.workers" 5142 "Companions and valets" 5143 "Undertakers and embalmers" 5149 "Other personal services workers nec" 5150 "Astrologers,fortune-tellers" 5151 "Astrologers and related workers" 5152 "Fortune-tellers+related workers" 5160 "Protective services workers" 5161 "Fire-fighters" 5162 "Police officers" 5163 "Prison guards" 5164 "N:Caretakers, houseporters" 5169 "Protective services workers nec" 5200 "Models,salespersons+demonstrators" 5210 "Fashion and other models" 5220 "Shop salespersons and demonstrators" 5221 "N:Shop staff, sales staff+other" 5222 "N:Door-to-door+telephone salesmen" 5223 "N:Wholesale merchants" 5230 "Stall and market salespersons" 6000 "Skilled agricultural+fishery worker" 6100 "Market-orient.agric.skilled worker" 6110 "Market gardeners and crop growers" 6111 "Field crop and vegetable growers" 6112 "Tree and shrub crop growers" 6113 "Gardeners,hortic.+nursery growers" 6114 "Mixed-crop growers" 6120 "Market-oriented animal producers" 6121 "Dairy and livestock producers" 6122 "Poultry producers" 6123 "Apiarists and sericulturists" 6124 "Mixed animal producers" 6129 "Market-oriented animal producers nec" 6130 "Market-oriented crop animal producer" 6132 "USA: Farmers" 6133 "USA: Farm supervisors" 6140 "Forestry and related worker" 6141 "Forestry workers and logger" 6142 "Charcoal burners and related worker" 6150 "Fishery workers,hunters+trappers" 6151 "Aquatic-life cultivation worker" 6152 "Inland+coastal waters fishery worker" 6153 "Deep-sea fishery worker" 6154 "Hunters and trappers" 6200 "Subsistence agricultural+fishery worker" 6210 "Subsistence agricultural+fishery worker" 7000 "Craft and trade workers" 7100 "Extraction and building trades worker" 7110 "Miners,shotfirers,stone cutters+carvers" 7111 "Miners and quarry workers" 7112 "Shotfirers and blasters" 7113 "Stone splitters, cutters and carvers" 7120 "Building frame+related trades workers" 7121 "Builders, traditional materials" 7122 "Bricklayers and stonemasons" 7123 "Concrete placers,finishers+rel" 7124 "Carpenters and joiners" 7125 "N:Joiner, formwork" 7126 "N:Carpenters" 7127 "N:Foundation workers" 7128 "N:Tunnel+mountain workers" 7129 "Building frame+rel.trades workers nec" 7130 "Building finishers+rel.trades workers" 7131 "Roofers" 7132 "Floor layers and tile setters" 7133 "Plasterers" 7134 "Insulation workers" 7135 "Glaziers" 7136 "Plumbers and pipe fitters" 7137 "Building+rel.electricians" 7139 "Building finishers+rel.trade workers" 7140 "Painters,building cleaners+rel worker" 7141 "Painters and related workers" 7142 "Varnishers and related painters" 7143 "Building structure cleaners" 7144 "N:Chimney sweepers" 7200 "Metal,machinery+rel.trades workers" 7210 "Metal moulders,sheetmetal workers+rel" 7211 "Metal moulders vand coremakers" 7212 "Welders and flamecutters" 7213 "Sheet-metal workers" 7214 "Structural-metal preparers+erectors" 7215 "Riggers and cable splicers" 7216 "Underwater workers" 7217 "N:Car+airstructure mechanics" 7220 "Blacksmiths,tool-makers+rel.trade" 7221 "Blacksmiths+forging-press worker" 7222 "Tool-makers and related workers" 7223 "Machine-tool setters+setter-operators" 7224 "Metal wheel-grinders+tool sharpeners" 7230 "Machinery mechanics and fitters" 7231 "Motor vehicle mechanics and fitters" 7232 "Aircraft engine mechanics and fitters" 7233 "Agricultural-industrial mechanics" 7234 "N:Shipmechanics etc" 7240 "Electrical+electronic equipm.mechanic" 7241 "Electrical mechanics and fitters" 7242 "Electronics fitters" 7243 "Electronics mechanics+servicers" 7244 "Telegraph+telephone installers+service" 7245 "Electrical line installers,repairers" 7300 "Precision,handicraft,printing+other" 7310 "Precision metal workers+rel.materials" 7311 "Precision-instrument makers+repairers" 7312 "Musical-instrument makers+tuners" 7313 "Jewellery and precious-metal workers" 7320 "Potters,glass-makers+rel.trades worker" 7321 "Abrasive wheel formers,potters+rel." 7322 "Glass-makers,cutters+finishers" 7323 "Glass engravers and etchers" 7324 "Glass,ceramics+rel.decorative painter" 7330 "Handicraft in wood,textile a.s." 7331 "Handicraft in wood+rel.materials" 7332 "Handicraft in textile,leather+rel" 7340 "Printing+related trades workers" 7341 "Compositors,typesetters+rel.worker" 7342 "Stereotypers,electrotypers" 7343 "Printing engravers and etchers" 7344 "Photographic+related workers" 7345 "Bookbinders+related workers" 7346 "Silk-screen,block+textile printers" 7350 "N:Technical drawers" 7400 "Other craft+rel.trades workers" 7410 "Food processing+rel.trades workers" 7411 "Butchers+rel.food preparers" 7412 "Bakers+confectionary makers" 7413 "Dairy-products makers" 7414 "Fruit,vegetable+related preservers" 7415 "Food+beverage tasters+graders" 7416 "Tobacco preparers+tobacco prod.maker" 7420 "Wood treaters+rel.trades" 7421 "Wood treaters" 7422 "Cabinet-makers+related workers" 7423 "Woodworking-machine setters+operators" 7424 "Basketry weavers+rel.worker" 7430 "Textile,garment+rel.trades workers" 7431 "Fibre preparers" 7432 "Weavers,knitters+related workers" 7433 "Tailors,dressmakers+hatters" 7434 "Furriers and related workers" 7435 "Textile,leather+rel.pattern-makers" 7436 "Sewers, embroiderers+rel.workers" 7437 "Upholsterers and related workers" 7440 "Pelt,leather+shoemaking trades worker" 7441 "Pelt dressers,tanners+fellmongers" 7442 "Shoemakers+rel.workers" 7450 "N:Laboratory assistants" 7500 "Metal worker general" 7510 "Metal worker nec" 7520 "Electronics engineers nec" 7900 "Master craftsmen,supervisor" 8000 "Plant+machine operators" 8100 "Stationary-plant+related operators" 8110 "Mining+mineral-proc.-plant operator" 8111 "Mining-plant operators" 8112 "Mineral-ore+stone-proc.-plant oper" 8113 "Well drillers+borers+related workers" 8120 "Metal-processing-plant operators" 8121 "Ore ad metal furnace operators" 8122 "Metal melters,casters" 8123 "Metal-heat-treating-plant operator" 8124 "Metal drawers and extruders" 8130 "Glass,ceramics+rel.plant operators" 8131 "Glass,ceramics+rel.machine operator" 8132 "N:Operators in insul.glass prod" 8139 "Glass,ceramics+rel.plant operators nec" 8140 "Wood-processing+papermaking-plant oper" 8141 "Wood-processing-plant operators" 8142 "Paper-pulp plant operators" 8143 "Papermaking-plant operators" 8150 "Chemical-processing-plant operators" 8151 "Crushing-,grinding mach.operator" 8152 "Chemical-heat-treating-plant oper" 8153 "Chemical-filtering-equipment oper" 8154 "Chemical-still+reactor operators" 8155 "Petroleum+natural-gas-refing-plant oper" 8159 "Chemical-processing-plant oper,nec" 8160 "Power-production+rel.plant operators" 8161 "Power-production plant operators" 8162 "Steam-engine and boiler operators" 8163 "Icinerator,water-treatment+rel.oper" 8170 "Auto.-assembly-line+ind.-robot oper" 8171 "Automated-assembly-line operators" 8172 "Industrial-robot operators" 8200 "Machine operators and assemblers" 8210 "Metal+mineral-products machine oper" 8211 "Machine-tool operators" 8212 "Cement+o.mineral products machine oper" 8220 "Chemical-products machine operators" 8221 "Pharma.products machine operator" 8222 "Ammunition products machine operator" 8223 "Metal finishing+coating-machine oper" 8224 "Photographic-products machine operator" 8229 "Chemical-products machine oper.nec" 8230 "Rubber+plastic-products machine oper" 8231 "Rubber-products machine oper" 8232 "Plastic-products machine operators" 8240 "Wood-products machine operators" 8250 "Printing+paper-products machine oper" 8251 "Printing-machine operators" 8252 "Bookbinding-machine operators" 8253 "Paper-products machine operators" 8260 "Textile+leather-products machine oper" 8261 "Spinning+winding-machine operators" 8262 "Weaving+knitting-machine operators" 8263 "Sewing-machine operators" 8264 "Bleaching+cleaning-machine operators" 8265 "Fur+leather-preparing-machine operator" 8266 "Shoemaking+related machine operator" 8269 "Textile products machine operators nec" 8270 "Food+rel.products machine operators" 8271 "Meat+fish-processing-machine operator" 8272 "Dairy-products machine operators" 8273 "Grain+spice-milling-machine operator" 8274 "Baked-goods+chocolate-products m-oper" 8275 "Fruit+nut-processing-machine oper" 8276 "Sugar production machine operators" 8277 "Tea,coffee+cocoa-processing-m.oper" 8278 "Beverage machine operators" 8279 "Tobacco production machine operators" 8280 "Assemblers" 8281 "Mechanical-machinery assemblers" 8282 "Electrical-equipment assemblers" 8283 "Electronic-equipment assemblers" 8284 "Metal+plastic-products assemblers" 8285 "Wood+rel.products assemblers" 8286 "Paperboard,textile+rel.prod.assembler" 8287 "Composite products assemblers" 8290 "Other machine operators+assemblers" 8300 "Drivers and mobile-plant operators" 8310 "Locomotive-engine drivers+rel.workers" 8311 "Locomotive-engine drivers" 8312 "Railway brakers,signallers+shunters" 8320 "Motor-vehicle drivers" 8321 "Motor-cycle drivers" 8322 "Car, taxi and van drivers" 8323 "Bus and tram drivers" 8324 "Heavy truck and lorry drivers" 8330 "Agricultural+other mobile-plant oper" 8331 "Motorised farm+forestry plant oper." 8332 "Earth-moving+rel.plant operators" 8333 "Crane, hoist and related plant oper" 8334 "Lifting-truck operators" 8340 "Ships deck crews and rel.workers" 8341 "N:Deck crew, ship" 8342 "N:Engine crew, ship" 9000 "Elementary occ.+unskilled workers" 9100 "Sales+services elementary occupation" 9110 "Street vendors and related workers" 9111 "Street food vendors" 9112 "Street vendors, non-food products" 9113 "Door-to-door,telephone salesperson" 9120 "Shoe cleaning+other street services" 9130 "Domestic+rel.helpers" 9131 "Domestic helpers and cleaners" 9132 "Helpers+cleaners in offices, hotels" 9133 "Hand-launderers and pressers" 9134 "N:Kitchen+serv.assistants" 9140 "Building caretakers,window+rel.cleaner" 9141 "Building caretakers" 9142 "Vehicle, window+related cleaners" 9150 "Messengers,porters,doorkeepers+rel." 9151 "Messengers,package,luggage porters" 9152 "Doorkeepers,watchpersons" 9153 "Vending-machine money collectors" 9160 "Garbage collectors+rel.labourers" 9161 "Garbage collectors" 9162 "Sweepers and related labourers" 9200 "Agricultural,fishery+rel.labourers" 9210 "Agricultural,fishery+rel.labourers" 9211 "Farm-hands and labourers" 9212 "Forestry labourers" 9213 "Fishery, hunting+trapping labourers" 9300 "Labour. mining,constr.,manufacturing" 9310 "Mining and construction labourers" 9311 "Mining and quarrying labourers" 9312 "Construction+maintenance labourers" 9313 "Building construction labourers" 9320 "Manufacturing labourers" 9321 "Assembling labourers" 9322 "Hand packers+other manufacturing lab" 9330 "Transport labourers+freight handlers" 9331 "Hand or pedal vehicle drivers" 9332 "Drivers of animal-drawn vehicles+machines" 9333 "Freight handlers" 9996 "Not classifiable;inadeq described" 9997 "Refused" 9998 "Dont know" 9999 "NA" . VARIABLE LABEL spwrktyp "S-P:Workg f priv,pub sector,self-empl.". VALUE LABELS spwrktyp 0 "NAP,NAV" 1 "Work f government" 2 "Public owned firm,nat.ind" 3 "Private firm, others" 4 "Self employed" 9 "NA, dont know" . VARIABLE LABEL at_rinc "R: Earnings: Austria". VALUE LABELS at_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL au_rinc "R: Earnings: Australia". VALUE LABELS au_rinc 0 "No own income, not in paid work" 1040 "1040" 3120 "3120" 5200 "5200" 7280 "7280" 9360 "9360" 13000 "13000" 18200 "18200" 23400 "23400" 25600 "25600" 28600 "28600" 33800 "33800" 39000 "39000" 46800 "46800" 65000 "65000" 91000 "91000" 104000 "104000" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL bg_rinc "R: Earnings: Bulgaria". VALUE LABELS bg_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL br_rinc "R: Earnings: Brazil". VALUE LABELS br_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL ca_rinc "R: Earnings: Canada". VALUE LABELS ca_rinc 0 "No own income, not in paid work" 10000 "Under $15.000" 20000 "$15.000-$24.999" 30000 "$25.000-$34.999" 40000 "$35.000-$44.999" 50000 "$45.000-$54.999" 60000 "$55.000-$64.999" 70000 "$65.000-$74.999" 80000 "$75.000 +" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL ch_rinc "R: Earnings: Switzerland". VALUE LABELS ch_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL cl_rinc "R: Earnings: Chile". VALUE LABELS cl_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL cy_rinc "R: Earnings: Cyprus". VALUE LABELS cy_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL cz_rinc "R: Earnings: Czech Republic". VALUE LABELS cz_rinc 0 "No own income, not in paid work" 3000 "3000" 5500 "5500" 6750 "6750" 8250 "8250" 9500 "9500" 10500 "10500" 11500 "11500" 12750 "12750" 14250 "14250" 16000 "16000" 18500 "18500" 22500 "22500" 27500 "27500" 32500 "32500" 37500 "37500" 45000 "45000" 55000 "55000" 65000 "65000" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL de_rinc "R: Earnings: Germany". VALUE LABELS de_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL dk_rinc "R: Earnings: Denmark". VALUE LABELS dk_rinc 0 "No own income, not in paid work" 70000 "below dkr 100.000" 125000 "dkr 100.000 to 149.999" 175000 "dkr 150.000 to 199.999" 225000 "dkr 200.000 to 249.999" 275000 "dkr 250.000 to 299.999" 350000 "dkr 300.000 to 399.999" 450000 "dkr 400.000 to 499.999" 550000 "dkr 500.000 to 599.999" 650000 "dkr 600.000 or more" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL do_rinc "R: Earnings: Dominican Republic". VALUE LABELS do_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL es_rinc "R: Earnings: Spain". VALUE LABELS es_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL fi_rinc "R: Earnings: Finland". VALUE LABELS fi_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL fla_rinc "R: Earnings: Flanders". VALUE LABELS fla_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL fr_rinc "R: Earnings: France". VALUE LABELS fr_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL gb_rinc "R: Earnings: Great Britain". VALUE LABELS gb_rinc 0 "No own income, not in paid work" 2000 "1 < 3 999" 5000 "4 000 - 5 999" 7000 "6 000 - 7 999" 9000 "8 000 - 9 999" 11000 "10 000 - 11 999" 13500 "12 000 - 14 999" 16500 "15 000 - 17 999" 19000 "18 000 - 19 999" 21500 "20 000 - 22 999" 24500 "23 000 - 25 999" 27500 "26 000 - 28 999" 30500 "29 000 - 31 999" 35000 "32 000 - 37 999" 41000 "38 000 - 43 999" 47000 "44 000 - 49 999" 53000 "50 000 - 55 999" 59000 "56 000 or more" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL hr_rinc "R: Earnings: Croatia". VALUE LABELS hr_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL hu_rinc "R: Earnings: Hungary". VALUE LABELS hu_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL ie_rinc "R: Earnings: Ireland". VALUE LABELS ie_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL il_rinc "R: Earnings: Israel". VALUE LABELS il_rinc 0 "No own income, not in paid work" 1000 "2000 nis and under" 3000 "2001-4000 nis" 5000 "4001-6000 nis" 7000 "6001-8000 nis" 9000 "8001-10000 nis" 13000 "10001-15000 nis" 15500 "more than 15000 nis" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL jp_rinc "R: Earnings: Japan". VALUE LABELS jp_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL kr_rinc "R: Earnings: South Korea". VALUE LABELS kr_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL lv_rinc "R: Earnings: Latvia". VALUE LABELS lv_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL mx_rinc "R: Earnings: Mexico". VALUE LABELS mx_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL nl_rinc "R: Earnings: Netherlands". VALUE LABELS nl_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL no_rinc "R: Earnings: Norway". VALUE LABELS no_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL nz_rinc "R: Earnings: New Zealand". VALUE LABELS nz_rinc 0 "No own income, not in paid work" 5000 "5 000$" 12500 "10 000$-15 000$" 17500 "15 000$-20 000$" 22500 "20 000$-25 000$" 27500 "25 000$-30 000$" 35000 "30 000$-40 000$" 45000 "40 000$-50 000$" 60000 "50 000$-70 000$" 85000 "70 000$-100 000$" 120000 "> 100 000$" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL ph_rinc "R: Earnings: Philippines". VALUE LABELS ph_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL pl_rinc "R: Earnings: Poland". VALUE LABELS pl_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL pt_rinc "R: Earnings: Portugal". VALUE LABELS pt_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL ru_rinc "R: Earnings: Russia". VALUE LABELS ru_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL se_rinc "R: Earnings: Sweden". VALUE LABELS se_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL si_rinc "R: Earnings: Slovenia". VALUE LABELS si_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL sk_rinc "R: Earnings: Slovakian Republic". VALUE LABELS sk_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL tr_rinc "R: Earnings: Turkey". VALUE LABELS tr_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL tw_rinc "R: Earnings: Taiwan". VALUE LABELS tw_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL us_rinc "R: Earnings: USA". VALUE LABELS us_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL uy_rinc "R: Earnings: Uruguay". VALUE LABELS uy_rinc 0 "No own income, not in paid work" 2000 "Less than $3.000" 4500 "$3.00 to $5.999" 6700 "$6.000 to $7.499" 8000 "$7.500 to $9.499" 10500 "$9.500 to $11.499" 12500 "$11.500 to $13.499" 15000 "$13.500 to $16.499" 18500 "$16.500 to $20.499" 23500 "$20.500 to $26.499" 32750 "$26.500 to $38.999" 45250 "More than $39.000" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL ve_rinc "R: Earnings: Venezuela". VALUE LABELS ve_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL za_rinc "R: Earnings: South Africa". VALUE LABELS za_rinc 0 "No own income, not in paid work" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL at_inc "Family income: Austria". VALUE LABELS at_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL au_inc "Family income: Australia". VALUE LABELS au_inc 0 "No income" 1040 "1040" 3120 "3120" 5200 "5200" 7280 "7280" 9360 "9360" 13000 "13000" 18200 "18200" 23400 "23400" 25600 "25600" 28600 "28600" 33800 "33800" 39000 "39000" 46800 "46800" 65000 "65000" 91000 "91000" 104000 "104000" 117000 "117000" 156000 "156000" 182000 "182000" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL bg_inc "Family income: Bulgaria". VALUE LABELS bg_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL br_inc "Family income: Brazil". VALUE LABELS br_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL ca_inc "Family income: Canada". VALUE LABELS ca_inc 0 "No income" 10000 "Under $15.000" 20000 "$15.000-$24.999" 30000 "$25.000-$34.999" 40000 "$35.000-$44.999" 50000 "$45.000-$54.999" 60000 "$55.000-$64.999" 70000 "$65.000-$74.999" 80000 "$75.000 +" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL ch_inc "Family income: Switzerland". VALUE LABELS ch_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL cl_inc "Family income: Chile". VALUE LABELS cl_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL cy_inc "Family income: Cyprus". VALUE LABELS cy_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL cz_inc "Family income: Czech Republic". VALUE LABELS cz_inc 0 "No income" 4000 "4000" 7000 "7000" 9000 "9000" 11000 "11000" 13000 "13000" 15000 "15000" 17000 "17000" 19000 "19000" 21500 "21500" 24500 "24500" 28000 "28000" 32500 "32500" 37500 "37500" 45000 "45000" 55000 "55000" 67500 "67500" 82500 "82500" 97500 "97500" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL de_inc "Family income: Germany". VALUE LABELS de_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL dk_inc "Family income: Denmark". VALUE LABELS dk_inc 0 "No income" 70000 "below dkr 100.000" 125000 "dkr 100.000 to 149.999" 175000 "dkr 150.000 to 199.999" 225000 "dkr 200.000 to 249.999" 275000 "dkr 250.000 to 299.999" 350000 "dkr 300.000 to 399.999" 450000 "dkr 400.000 to 499.999" 550000 "dkr 500.000 to 599.999" 650000 "dkr 600.000 to 699.999" 750000 "dkr 700.000 to 799.999" 850000 "dkr 800.000 to 899.999" 950000 "dkr 900.000 to 999.999" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" 1050000 "dkr 1 million or more" . VARIABLE LABEL do_inc "Family income: Dominican Republic". VALUE LABELS do_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL es_inc "Family income: Spain". VALUE LABELS es_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL fi_inc "Family income: Finland". VALUE LABELS fi_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL fla_inc "Family income: Flanders". VALUE LABELS fla_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL fr_inc "Family income: France". VALUE LABELS fr_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL gb_inc "Family income: Great Britain". VALUE LABELS gb_inc 0 "No income" 2000 "1 < 3 999" 5000 "4 000 - 5 999" 7000 "6 000 - 7 999" 9000 "8 000 - 9 999" 11000 "10 000 - 11 999" 13500 "12 000 - 14 999" 16500 "15 000 - 17 999" 19000 "18 000 - 19 999" 21500 "20 000 - 22 999" 24500 "23 000 - 25 999" 27500 "26 000 - 28 999" 30500 "29 000 - 31 999" 35000 "32 000 - 37 999" 41000 "38 000 - 43 999" 47000 "44 000 - 49 999" 53000 "50 000 - 55 999" 59000 "56 000 or more" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL hr_inc "Family income: Croatia". VALUE LABELS hr_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL hu_inc "Family income: Hungary". VALUE LABELS hu_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL ie_inc "Family income: Ireland". VALUE LABELS ie_inc 0 "No income" 6900 "6900" 9025 "9025" 13575 "13575" 18700 "18700" 24450 "24450" 31000 "31000" 38325 "38325" 47500 "47500" 61175 "61175" 75000 "75000" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL il_inc "Family income: Israel". VALUE LABELS il_inc 0 "No income" 2250 "4500 nis and under neto" 5000 "4500-5500 nis" 6000 "5500-6500 nis" 7000 "6500-7500 nis" 8000 "7500-8500 nis" 9500 "8500-10500 nis" 12000 "10500-13500 nis" 14500 "13500-15500 nis" 17750 "15500-20000 nis" 22000 "more than 20000 nis" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL jp_inc "Family income: Japan". VALUE LABELS jp_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL kr_inc "Family income: South Korea". VALUE LABELS kr_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL lv_inc "Family income: Latvia". VALUE LABELS lv_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL mx_inc "Family income: Mexico". VALUE LABELS mx_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL nl_inc "Family income: Netherlands". VALUE LABELS nl_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL no_inc "Family income: Norway". VALUE LABELS no_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL nz_inc "Family income: New Zealand". VALUE LABELS nz_inc 0 "No income" 7500 "5 000$-10 000$" 17500 "15 000$-20 000$" 25000 "20 000$-30 000$" 35000 "30 000$-40 000$" 45000 "40 000$-50 000$" 55000 "50 000$-60 000$" 65000 "60 000$-70 000$" 75000 "70 000$-80 000$" 90000 "80 000$-100 000$" 120000 "> 100 000$" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL ph_inc "Family income: Philippines". VALUE LABELS ph_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL pl_inc "Family income: Poland". VALUE LABELS pl_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL pt_inc "Family income: Portugal". VALUE LABELS pt_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL ru_inc "Family income: Russia". VALUE LABELS ru_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL se_inc "Family income: Sweden". VALUE LABELS se_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL si_inc "Family income: Slovenia". VALUE LABELS si_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL sk_inc "Family income: Slovakian Republic". VALUE LABELS sk_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL tr_inc "Family income: Turkey". VALUE LABELS tr_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL tw_inc "Family income: Taiwan". VALUE LABELS tw_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL us_inc "Family income: USA". VALUE LABELS us_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL uy_inc "Family income: Uruguay". VALUE LABELS uy_inc 0 "No income" 2000 "Less than $3.000" 4500 "$3.00 to $5.999" 6700 "$6.000 to $7.499" 8000 "$7.500 to $9.499" 10500 "$9.500 to $11.499" 12500 "$11.500 to $13.499" 15000 "$13.500 to $16.499" 18500 "$16.500 to $20.499" 23500 "$20.500 to $26.499" 32750 "$26.500 to $38.999" 45250 "More than $39.000" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL ve_inc "Family income: Venezuela". VALUE LABELS ve_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL za_inc "Family income: South Africa". VALUE LABELS za_inc 0 "No income" 999990 "NAP, other countries" 999997 "Refused" 999998 "DK" 999999 "NA" . VARIABLE LABEL hompop "How many persons in household". COMMENT TO hompop: number of people currently living in local household of R, including R! . VALUE LABELS hompop 0 "Not available" 99 "NA, refused" . VARIABLE LABEL hhcycle "Household composition:children+adults". VALUE LABELS hhcycle 0 "NAV" 1 "Single household" 2 "1 adult,1 child" 3 "1 adult,2 child" 4 "1 adult,3 or > ch" 5 "2 adults" 6 "2 adults,1 child" 7 "2 adults,2 child" 8 "2 adults,3 or > ch" 9 "3 adults" 10 "3 adults+children" 11 "4 adults" 12 "4 adults+ children" 13 "5 adults" 14 "5 adults+children" 15 "6 adults" 16 "6 adults+children" 17 "7 adults" 18 "7 adults+children" 19 "8 adults" 20 "8 adults+children" 21 "9 adults" 22 "9 adults+children" 23 "10 adults" 24 "10 adults+children" 25 "11 adults" 26 "11 adults+children" 27 "12 adults" 28 "12 adults+children" 95 "Other" 99 "NA,refused" . VARIABLE LABEL party_lr "R: Party affiliation: left-right (derived)". VALUE LABELS party_lr 0 "NAV, NAP" 1 "Far left etc" 2 "Left,center left" 3 "Center,liberal" 4 "Right,conservative" 5 "Far right etc" 6 "Other,no specific" 7 "No party,no preference" 8 "Dont know" 9 "No answer,refused" . VARIABLE LABEL at_prty "R: Party affiliation: Austria". VALUE LABELS at_prty 0 "NAP, other countries" 1 "SPOE (Soc-Democr)" 2 "OEVP (Conservative)" 3 "FPOE (Liberal)" 4 "GRUENE (Green)" 5 "LIF (Liberal)" 95 "Other Party" 96 "Would not vote" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL au_prty "R: Party affiliation: Australia". VALUE LABELS au_prty 0 "NAP, other countries" 1 "Liberal Party" 2 "Labour Party" 3 "National Party" 4 "Democrats" 5 "Greens" 6 "One nation" 7 "Family First" 95 "Other Party" 96 "No party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL bg_prty "R: Party affiliation: Bulgaria". VALUE LABELS bg_prty 0 "NAP, other countries" 1 "Sajuz Balgarija" 2 "Napred Balgarija" 3 "Coalicia za Bulgaria" 4 "Granit" 5 "Experts commersial" 6 "NDSV Simeon II" 7 "Dostonia Bulgaria" 8 "DSB" 9 "Da jivei Bulgaria!" 10 "Evroroma" 11 "Coalicia na rozata" 12 "BNS-SSD, VMRO, NS" 13 "Novoto vreme" 14 "Ataka" 15 "FAGO" 16 "Obedinena partia na" 17 "DPS" 18 "Bulgarska Hirsianska" 19 "ODS" 20 "Nikola Petka" 21 "PSD" 95 "Other Party" 96 "No preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL br_prty "R: Party affiliation: Brazil". VALUE LABELS br_prty 0 "NAP, other countries" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL ca_prty "R: Party affiliation: Canada". VALUE LABELS ca_prty 0 "NAP, other countries" 1 "New Democratis Party" 2 "Liberal" 3 "Progressive Conservative" 4 "Bloc Quebecois" 95 "Other party" 96 "Would not vote; no party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL ch_prty "R: Party affiliation: Switzerland". VALUE LABELS ch_prty 0 "NAP, other countries" 1 "Christian Democratic Party" 2 "Evangelical Peoples Party" 3 "Radical Party" 4 "Social Democratic Party" 5 "Swiss Peoples Party" 6 "Independent Party" 7 "Liberal Party" 8 "Labour Party" 9 "Swiss Democrats" 10 "Green Party" 11 "Freedom Party" 95 "Other Party" 96 "No party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL cl_prty "R: Party affiliation: Republic Chile". VALUE LABELS cl_prty 0 "NAP, other countries" 1 "Christian Democratic" 2 "Independent Democratic" 3 "Communist Party of Chile" 4 "Nation. Renewal Prty" 5 "Chilean Socialist P" 6 "Radical Social Democratic" 7 "Democracy Party PPD" 8 "Humanist Party" 95 "Other Party" 96 "Would not vote,no party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL cy_prty "R: Party affiliation: Cyprus". VALUE LABELS cy_prty 0 "NAP, other countries" 1 "Progressive Labour Party, AKEL" 2 "Socialist Party, EDEK" 3 "Ecologists" 4 "Free Democrats, EDH" 5 "Democratic Party, DHKO" 6 "Democratic Renewal Party, ADHK" 7 "New Horizons" 8 "European Democracy" 9 "Democratic Alert, DHSY" 95 "Other Party" 96 "None" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL cz_prty "R: Party affiliation: Czech Republic". VALUE LABELS cz_prty 0 "NAP, other countries" 1 "CSSD Social Democrats" 2 "KDU CSL Christian Party" 3 "KSCM Communist Party" 4 "ODS Civic Democratic" 5 "US-DEU Freedom-Democratic Union" 6 "SNK Association of independent candidates" 7 "ED European Democrats" 8 "Indipendants" 9 "RMS Republicans of Miroslav Sladek" 10 "PB Right Block" 11 "SZ Party of Greens" 12 "SZJ Party of Life Securities" 13 "SOS Party for life securities" 14 "Balbin's poetical party" 95 "Other Party" 96 "Would not vote" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL de_prty "R: Party affiliation: Germany". VALUE LABELS de_prty 0 "NAP, other countries" 1 "CDU/ CSU" 2 "SPD" 3 "FDP" 4 "Buendnis 90/Gruene" 5 "Republikaner" 6 "PDS/Linke Liste" 95 "Other Party" 96 "Would not vote;not eligible" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL dk_prty "R: Party affiliation: Denmark". VALUE LABELS dk_prty 0 "NAP, other countries" 1 "Social Democratic P" 2 "Radical Liberal P" 3 "Conservative Party" 4 "Centre Democratic" 5 "Socialist Peoples P" 6 "Danish Peoples Prty" 7 "Christian Peoples P" 8 "Liberal" 9 "Progressive" 10 "Leftwing Alliance" 95 "Other Party" 96 "Did not vote, blank vote" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL do_prty "R: Party affiliation: Dominican Republic". VALUE LABELS do_prty 0 "NAP, other countries" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL es_prty "R: Party affiliation: Spain". VALUE LABELS es_prty 0 "NAP, other countries" 1 "PSOE" 2 "PP" 3 "IU, ICV" 4 "CIU" 5 "ERC" 6 "PNV" 7 "BNG" 8 "CC" 9 "EA" 10 "CHA" 11 "Na-Bai" 94 "Vote blank" 95 "Other Party" 96 "No vote,not eligible" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL fi_prty "R: Party affiliation: Finland". VALUE LABELS fi_prty 0 "NAP, other countries" 1 "Social Democr Party" 2 "Centre Party of FIN" 3 "Nat Coalition Party" 4 "Left Alliance" 5 "Swedish Peoples Prty" 6 "Green League" 7 "Christian League" 8 "True Finns" 9 "Reform Group" 95 "Other Party" 96 "Would not vote,no preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL fla_prty "New Variable Label". VALUE LABELS fla_prty 0 "NAP, other countries" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL fr_prty "R: Party affiliation: France". VALUE LABELS fr_prty 0 "NAP, other countries" 1 "Communist party" 2 "Far left" 3 "Socialist party" 4 "Green, Ecologists" 5 "UDF-Liberal" 6 "RPR-Conservative" 7 "National Front" 95 "Other Party" 96 "No preference,no vote" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL gb_prty "R: Party affiliation: Great Britain". VALUE LABELS gb_prty 0 "NAP, other countries" 1 "Conservative" 2 "Labour" 3 "Liberal Democrats,SLD" 4 "Social Democratic+Labour Party" 5 "Democratic Unionist P" 6 "SNP (Scot National)" 7 "Plaid Cymru" 8 "Green party" 9 "Ulster Union Party" 10 "Alliance Party" 11 "Sinn Fein" 12 "Ulster Democratic Party" 13 "Womens Coalition" 14 "Progressive Unionist P" 15 "Northern Ireland Union" 16 "UK Unionist Party" 93 "Other answer" 95 "Other Party" 96 "Would not vote;No party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL hr_prty "R: Party affiliation: Croatia". VALUE LABELS hr_prty 0 "NAP, other countries" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL hu_prty "R: Party affiliation: Hungary". VALUE LABELS hu_prty 0 "NAP, other countries" 1 "HDF-Hungarian Democratic Forum" 2 "FFD-Free Democrats" 3 "ISHP-Independent Small Holders" 4 "HSP-Hungarian Socialist Party" 5 "FYD-Federation of Young Democrats" 6 "CDPP-Christ.Democr.People s P" 7 "WP-Workers Party" 8 "HTJP-Hungarinan Truth" 95 "Other Party" 96 "Would not vote;no party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL ie_prty "R: Party affiliation: Ireland". VALUE LABELS ie_prty 0 "NAP, other countries" 1 "Fianna Fail" 2 "Fine Gael" 3 "Labour" 4 "Progressive Democrats" 5 "Green Party" 6 "Socialist Party" 7 "Sinn Fein" 95 "Other Party" 96 "Would not vote;no party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL il_prty "R: Party affiliation: Israel". VALUE LABELS il_prty 0 "NAP, other countries" 1 "Israel one" 2 "Likud" 3 "Shase" 4 "Meretz" 5 "Mafdal" 6 "Yahadut-hatora" 7 "Am ehad" 8 "Shinuy" 9 "Haehud haleumi" 10 "The central party" 11 "Israel Baliya" 12 "Israel Beteno" 13 "Haderch Hashlishit" 14 "Pnina Rosenblum" 15 "Tzomet" 16 "Gimlaim" 21 "Haadash" 22 "Balad" 23 "Hatnua Haaravit Lesh" 24 "Hatnua Haaravit Hame" 25 "Haaravi Hahadash" 26 "ale yarok" 95 "other party" 96 "No vote, no preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL jp_prty "R: Party affiliation: Japan". VALUE LABELS jp_prty 0 "NAP, other countries" 1 "Liberal Democr Party" 2 "The Democratic Party" 3 "Liberal Party" 4 "New Komeito" 5 "Japanese Communist Party" 6 "Social Democr Party" 95 "Other Party" 96 "No party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL kr_prty "R: Party affiliation: South Korea". VALUE LABELS kr_prty 0 "NAP, other countries" 1 "United Liberal Democrats" 2 "Grand National Party" 3 "Millennium Democratic Party" 4 "The Uri Party" 5 "Democratic Labor Party" 95 "Other Parties" 96 "No party affiliation" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL lv_prty "R: Party affiliation: Latvia". VALUE LABELS lv_prty 0 "NAP, other countries" 1 "LNNK/Alliance" 2 "Organisation For Human Rights in United Latvia" 3 "Social-democratic welfare party" 4 "Russian Party" 5 "Latvian Social Democratic Workers Party (LSDSP)" 6 "Progressive CENTRIC party" 7 "Jaunais laiks" 8 "The Peoples party" 9 "Latvias First Party" 11 "Latvias Regeneration Party" 12 "Freedom Party" 13 "Social Democratic Union SDS" 14 "The United Republican Party of Latvia" 15 "Union Latvias Way" 16 "Political alliance 'Centre'" 17 "Party 'Our Land'" 18 "Latgales Gaisma" 19 "Mâras zeme" 20 "Green and Farmer union" 21 "People's Harmony Party" 96 "No party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL mx_prty "R: Party affiliation: Mexico". VALUE LABELS mx_prty 0 "NAP, other countries" 1 "PAN" 2 "PRI" 3 "PRD" 4 "PT" 5 "PVEM" 6 "Convergencia" 7 "PASC" 8 "PANAL" 95 "Other Party" 96 "No party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL nl_prty "R: Party affiliation: Netherlands". VALUE LABELS nl_prty 0 "NAP, other countries" 1 "Labour Party-PvdA" 2 "Liberal Party-VVD" 3 "Christian Democratic" 4 "Democrats 66-D66" 5 "Calvinist State Prty-SGP" 6 "Calvinist Political Party" 7 "Party-Christian Union" 8 "Green Left Party" 9 "Centrum Democrats" 10 "Socialist Party-SP" 11 "Union 55 Plus" 12 "General Union of the N" 13 "Fortuyns Party" 94 "Vote blank" 95 "Other Party" 96 "Did not vote;not eligible" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL no_prty "R: Party affiliation: Norway". VALUE LABELS no_prty 0 "NAP, other countries" 1 "Red Electoral Allian" 2 "Labour Party" 3 "Progress Party" 4 "Conservative Party" 5 "Christ Democr Party" 6 "Centre party" 7 "Socialist Left" 8 "Liberal" 95 "Other Party" 96 "Wouldnt vote" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL nz_prty "R: Party affiliation: New Zealand". VALUE LABELS nz_prty 0 "NAP, other countries" 1 "Act" 2 "Alliance" 3 "Green" 4 "Labour" 5 "National" 6 "NZ First" 7 "Progressive Coalition" 8 "United Future" 95 "Other" 96 "Didnt vote/not eligible" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL ph_prty "R: Party affiliation: Philippines". VALUE LABELS ph_prty 0 "NAP, other countries" 1 "LAKAS-NUCD-UMDP" 2 "KNP Koalisyon Ng Nagkakaisang" 3 "NPC (NATIONALIST PEOPLES COALITION)" 4 "PRP (PEOPLES REFORM PARTY)" 5 "LP (LIBERAL PARTY)" 6 "NP (NACIONALISTA PARTY)" 7 "PDP-LABAN (PHILIPPINE DEMOCRATIC PARTY-LAKAS NG BAYAN)" 8 "PDSP (PARTIDO DEMOKRATIKO SOSYALISTA NG PILIPINAS)" 9 "LM (LAPIANG MANGGAGAWA)" 10 "PMP (PARTIDO NG MASANG PILIPINO)" 11 "KBL-Kilusang Bagong Lipunan" 12 "PP-Partido Panaghiusa" 13 "SCFO-Small Coconut Federation Organization" 14 "UFP Veterans Fed Of The Phil" 15 "Bangon Pilipinas" 16 "Lacson Party" 17 "Kampi" 18 "Reporma" 19 "Suara Bangsamuro" 20 "Natural Law Party" 21 "Bicol Saro" 22 "Apec" 23 "Akbayan" 24 "Anak Pawis" 25 "BAYAN MUNA" 26 "Magdalo" 27 "Alagad Party" 28 "Liberal Party" 29 "Butil" 30 "Gabriela" 31 "Cocofed" 32 "Migrante" 33 "Other Party" 96 "None" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL pl_prty "R: Party affiliation: Poland". VALUE LABELS pl_prty 0 "NAP, other countries" 1 "SLD-UP Democratic Left Alliance" 2 "AWS Solidarity Election Action" 3 "UW Freedom Union" 4 "LEPPERs Self-Defense Trade Union" 5 "PiS Law and Justice Party" 6 "PSL Polish Peasants Prty" 7 "PO Civic Platform o Republ o Poland" 8 "ALTERNATIVE Social Movement" 9 "PWN Polish National Fellowship" 10 "LPR League of Polish Families" 11 "MN German Minority" 13 "PUG Polish Economic Union" 14 "PPS Polish Socialst Party" 95 "Other Party" 96 "No party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL pt_prty "R: Party affiliation: Portugal". VALUE LABELS pt_prty 0 "NAP, other countries" 1 "Bloco de Esquerda" 2 "CDS, PP" 3 "CDU-PCP" 4 "MRPP" 5 "PPD, PSD" 6 "PS" 7 "PSR" 8 "UDP" 95 "Other party" 96 "None, no preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL ru_prty "R: Party affiliation: Russia". VALUE LABELS ru_prty 0 "NAP, other countries" 1 "Pensioners Party/Party of Social Justice" 2 "Union of right forces" 3 "Yabloko" 4 "Russian Ecological Party 'Green' (Panfilov A.)" 5 "Country Party of Russia (Lapshin M.)" 6 "Popular Party of Russian Federation (Raykov)" 7 "Party of Revival/Russian Party of Life (Seleznev G./ Miro" 8 "Motherland (Glazyev S.)" 9 "Liberal Democratic Party of Russia (Ghirinovsky V.)" 10 "United Russia (Gryzlov B.)" 11 "Communist Party of Russian Federation (Zyuganov G.)" 12 "Party Development of Entrepreneurship (Grachev I.)" 92 "Didn't vote" 93 "Don't remember for whom I voted" 94 "Don't remember if I voted or not" 95 "Other Party" 96 "Against all/ threw out/ damaged voting paper" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL se_prty "R: Party affiliation: Sweden". VALUE LABELS se_prty 0 "NAP, other countries" 1 "C (Centre Party)" 2 "FP (Liberals)" 3 "KD (Christ Democr)" 4 "MP (Ecologists)" 5 "M (Liberal Conserv)" 6 "S (Social Democrats)" 7 "V (Socialists)" 95 "Other Party" 96 "Would not vote;no party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL si_prty "R: Party affiliation: Slovenia". VALUE LABELS si_prty 0 "NAP, other countries" 1 "DESUS-Democratic ret" 2 "LDS-Liberal Democrat" 3 "SLS-Peoples party" 4 "SNS-Slovenian Nation" 5 "SDS-Social Democratic" 6 "NSI-New Slovenia" 7 "ZLSD-Combined list" 8 "SMS-Youth Party" 95 "Other Party" 96 "No party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL sk_prty "R: Party affiliation: Slovakian Republic". VALUE LABELS sk_prty 0 "NAP, other countries" 1 "SMER Party Direction" 2 "Movemnt f Democratic SK,Peoples P" 3 "SMK Party o Hungarian Coalition" 4 "SDKU SK Democratic Christian Union" 5 "KSS Communist Party" 6 "KDH Christian Democratic Movement" 7 "HZD Movement for Democracy" 8 "ANO Alliance of New Citizens" 9 "SNS Slovak National Party" 10 "SF Free Forum" 11 "SZS Green Party of SK" 12 "DS Democratic Party" 13 "ZRS Association of SK workers" 14 "Left Bloc" 15 "SNJ Slovak National Unity" 16 "ROISR Roma Civic Initiative" 17 "ROMA Pol Movement of Roma" 95 "Other Party" 96 "No party preference" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL tr_prty "R: Party affiliation: Turkey". VALUE LABELS tr_prty 0 "NAP, other countries" 97 "Refused" 98 "DK" 99 "NA" . VARIABLE LABEL tw_prty "R: Party affiliation: Taiwan". VALUE LABELS tw_prty 0