COMMENT MODULE TITLE Leisure Time and Sports 2007 (Prod!) Exportvorlage Standardsetup. COMMENT MODULE YEAR 2007. COMMENT 2007-01-10: initial version 2007-01-19: correction of v39, Question 8b. "Board games" wrongly was counted as a category of its own and had code 1 "Board games" had to be removed, thus "Backgammon" now has code 1 instead of 2, and so on for all consecutive categories 2007-02-13: Value labels of variables MARITAL and COHAB have been adapted to the background variables list, hopefully removing the confusion about COHAB covering people living in a marriage or not (intention: COHAB should include only UNmarried respondents) 2007-04-03: modification of ATTEND code 7: less frequently than once a year 2007-06-11: - New variable "SUBSCASE" to cover case substitution flagging. New labels for CZ_INC, CZ_RINC and CZ_PRTY as provided by Czechia with 2006 deposit - removed periods from line ends in COMMENTS, to avoid SPSS error messages. DATA LIST FILE='put path and name of your data file here' FREE/ v1 v2 v3 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 v64 v65 v66 v67 v68 v69 v70 v71 v72 v73 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 subscase weight . VARIABLE LABEL v1 "ZA Study Number". COMMENT TO v1: leave blank! . VALUE LABELS v1 -999999 "SYSMIS" . VARIABLE LABEL v2 "Edition of the data file". VALUE LABELS v2 1 "1" . VARIABLE LABEL v3 "Respondent Number". VALUE LABELS v3 -999999 "SYSMIS" . VARIABLE LABEL v4 "Country/Sample (see V5 for codes for whole nation states)". COMMENT TO v4: 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 V5) 1. covers disproportional regional samples 2. covers oversamples of subgroups or technically independent samples Both cases will require special weighting if analyses are meant to be representative for a country. . VALUE LABELS v4 036 "AU-Australia" 040 "AT-Austria" 056.1 "FLA-Flanders" 056.2 "WAL-Wallony" 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 v5 "Country (see V4 for codes for the sample)". COMMENT TO v5: To be coded using the three digit ISO-Code for the country at hand. . VALUE LABELS v5 036 "AU-Australia" 040 "AT-Austria" 056 "BE-Belgium" 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 "DE-Germany" 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 "GB-Great Britain" 840 "US-United States" 858 "UY-Uruguay" 862 "VE-Venezuela" . VARIABLE LABEL v6 "Q1a Frequency of activities in free time: Watch TV". COMMENT TO v6: The following questions are related to your free time, that is, time you are not occupied with work or household duties or other activities that you are obliged to do Q.1 How often do you do each of the following activities in your free time? (Please tick one box on each line) Q.1a Watch TV, DVD, videos . VALUE LABELS v6 1 "Daily" 2 "Several times a week" 3 "Several times a month" 4 "Several times a year or less often" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v7 "Q1b Frequency of free time activities: Go to movies". COMMENT TO v7: Q1 How often do you do each of the following activities in your free time? Q1b Go to the movies . VALUE LABELS v7 1 "Daily" 2 "Several times a week" 3 "Several times a month" 4 "Several times a year or less often" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v8 "Q1c Frequency of free time activities: Go out shopping". COMMENT TO v8: Q1 How often do you do each of the following activities in your free time? Q1c Go out shopping . VALUE LABELS v8 1 "Daily" 2 "Several times a week" 3 "Several times a month" 4 "Several times a year or less often" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v9 "Q1d Frequency of free time activities: Read books". COMMENT TO v9: Q1 How often do you do each of the following activities in your free time? Q1d Read books . VALUE LABELS v9 1 "Daily" 2 "Several times a week" 3 "Several times a month" 4 "Several times a year or less often" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v10 "Q1e Frequency of free time activities: Attend cultural events". COMMENT TO v10: Q1 How often do you do each of the following activities in your free time? Q1e Attend cultural events such as concerts, live theatre, exhibitions . VALUE LABELS v10 1 "Daily" 2 "Several times a week" 3 "Several times a month" 4 "Several times a year or less often" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v11 "Q1f Frequency of free time activities: Get together with relatives". COMMENT TO v11: Q1 How often do you do each of the following activities in your free time? Q1f Get together with relatives . VALUE LABELS v11 1 "Daily" 2 "Several times a week" 3 "Several times a month" 4 "Several times a year or less often" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v12 "Q1g Frequency of free time activities: Get together with friends". COMMENT TO v12: Q1 How often do you do each of the following activities in your free time? Q1g Get together with friends . VALUE LABELS v12 1 "Daily" 2 "Several times a week" 3 "Several times a month" 4 "Several times a year or less often" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v13 "Q1h Frequency of free time activities: Play cards". COMMENT TO v13: Q1 How often do you do each of the following activities in your free time? Q1h Play cards or board games . VALUE LABELS v13 1 "Daily" 2 "Several times a week" 3 "Several times a month" 4 "Several times a year or less often" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v14 "Q1i Frequency of free time activities: Listen to music". COMMENT TO v14: Q1 How often do you do each of the following activities in your free time? Q1i Listen to music . VALUE LABELS v14 1 "Daily" 2 "Several times a week" 3 "Several times a month" 4 "Several times a year or less often" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v15 "Q1j Frequency of free time activities: Sports, Gym". COMMENT TO v15: Q1 How often do you do each of the following activities in your free time? Q1j Take part in physical activities such as sports, going to the gym, going for a walk . VALUE LABELS v15 1 "Daily" 2 "Several times a week" 3 "Several times a month" 4 "Several times a year or less often" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v16 "Q1k Frequency of free time activities: Attend sporting events". COMMENT TO v16: Q1 How often do you do each of the following activities in your free time? Q1k Attend sporting events as a spectator . VALUE LABELS v16 1 "Daily" 2 "Several times a week" 3 "Several times a month" 4 "Several times a year or less often" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v17 "Q1l Frequency of free time activities: Do handicrafts". COMMENT TO v17: Q1 How often do you do each of the following activities in your free time? Q1l Do handicraft such as needle work, wood work, etc. . VALUE LABELS v17 1 "Daily" 2 "Several times a week" 3 "Several times a month" 4 "Several times a year or less often" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v18 "Q1m Frequency of free time activities: Spend time on the Internet". COMMENT TO v18: Q1 How often do you do each of the following activities in your free time? Q1m Spend time on the Internet/ PC . VALUE LABELS v18 1 "Daily" 2 "Several times a week" 3 "Several times a month" 4 "Several times a year or less often" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v19 "Q2a Free time activities enable you to be yourself". COMMENT TO v19: Q2 When you are involved in free time activities to what extent do they enable you: (Please tick one box one each line) Q2a ... to be the kind of person you really are? . COMMENT TO 3: Code 3 Somewhat . VALUE LABELS v19 1 "Very much" 2 "A lot" 3 "Somewhat" 4 "A little" 5 "Not at all" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v20 "Q2b Free time activities strengthen your relationships". COMMENT TO v20: Q2b ... to strengthen your relationships with other people? . COMMENT TO 3: Code 3 Somewhat . VALUE LABELS v20 1 "Very much" 2 "A lot" 3 "Somewhat" 4 "A little" 5 "Not at all" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v21 "Q3a Enjoyment from free time activities: Reading books". COMMENT TO v21: Q3 Please, indicate how much enjoyment you get from the following free time activities: (Please tick one box on each line) Q3a Reading books . VALUE LABELS v21 1 "No enjoyment" 2 "Not much enjoyment" 3 "Some enjoyment" 4 "A fair amount of enjoyment" 5 "A great amount of enjoyment" 6 "I never do that" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v22 "Q3b Enjoyment from: Getting together with friends". COMMENT TO v22: Q3 Please, indicate how much enjoyment you get from the following free time activities: Q3b Getting together with friends . VALUE LABELS v22 1 "No enjoyment" 2 "Not much enjoyment" 3 "Some enjoyment" 4 "A fair amount of enjoyment" 5 "A great amount of enjoyment" 6 "I never do that" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v23 "Q3c Enjoyment from: Taking part in physical activities". COMMENT TO v23: Q3 Please, indicate how much enjoyment you get from the following free time activities: Q3c Taking part in physical activities such as sports, going to the gym, going for a walk . VALUE LABELS v23 1 "No enjoyment" 2 "Not much enjoyment" 3 "Some enjoyment" 4 "A fair amount of enjoyment" 5 "A great amount of enjoyment" 6 "I never do that" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v24 "Q3d Enjoyment from: Watching TV, videos". COMMENT TO v24: Q3 Please, indicate how much enjoyment you get from the following free time activities: Q3d Watching TV, DVD, videos . VALUE LABELS v24 1 "No enjoyment" 2 "Not much enjoyment" 3 "Some enjoyment" 4 "A fair amount of enjoyment" 5 "A great amount of enjoyment" 6 "I never do that" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v25 "Q4a How often in free time: Establish useful contacts". COMMENT TO v25: Q4 People do different things during their free time. For each of the following, please indicate how often you use your free time to: (Please tick one box on each line) Q4a ... establish useful contacts . VALUE LABELS v25 1 "Very often" 2 "Often" 3 "Sometimes" 4 "Seldom" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v26 "Q4b How often in free time: Relax and recover". COMMENT TO v26: Q4 People do different things during their free time. For each of the following, please indicate how often you use your free time to: Q4b ... relax and recover . VALUE LABELS v26 1 "Very often" 2 "Often" 3 "Sometimes" 4 "Seldom" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v27 "Q4c How often in free time: Learn or develop skills". COMMENT TO v27: Q4 People do different things during their free time. For each of the following, please indicate how often you use your free time to: Q4c .... try to learn or develop skills . VALUE LABELS v27 1 "Very often" 2 "Often" 3 "Sometimes" 4 "Seldom" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v28 "Q5aa How often in free time: Feel bored". COMMENT TO v28: Q5a In your free time, how often do you: (Please tick one box on each line) Q5aa .... feel bored? . VALUE LABELS v28 1 "Very often" 2 "Often" 3 "Sometimes" 4 "Seldom" 5 "Never" 9 "NA" 0 "Doesn't apply" . VARIABLE LABEL v29 "Q5ab How often in free time: Feel rushed". COMMENT TO v29: Q5a In your free time, how often do you: Q5ab ... feel rushed? . VALUE LABELS v29 1 "Very often" 2 "Often" 3 "Sometimes" 4 "Seldom" 5 "Never" 9 "NA" 0 "Doesn't apply" . VARIABLE LABEL v30 "Q5ac How often in free time: Thinking about work". COMMENT TO v30: Q5a In your free time, how often do you: Q5ac ... find yourself thinking about work? . VALUE LABELS v30 1 "Very often" 2 "Often" 3 "Sometimes" 4 "Seldom" 5 "Never" 9 "NA" 0 "Doesn't apply" . VARIABLE LABEL v31 "Q5b Preference in free time: With other people or by oneself". COMMENT TO v31: Q5b In your free time, do you prefer to be with other people or do you prefer to be by yourself? (Please tick one box only) . VALUE LABELS v31 1 "Most of time with other people" 2 "More with other people than alone" 3 "More alone than with other people" 4 "Most of time alone" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v32 "Q6a Change in spending time: Time in a paid job". COMMENT TO v32: Q6 Suppose you could change the way you spend your time, spending more time on some things and less time on others. Which of the things on the following list would you like to spend more time on, which would you like to spend less time on and which would you like to spend the same amount of time on as now? (Please tick one box on each line) Q6a Time in a paid job . VALUE LABELS v32 1 "Much more time" 2 "A bit more time" 3 "Same time as now" 4 "A bit less time" 5 "Much less time" 8 "Can't choose" 9 "NA" 0 "Doesn't apply" . VARIABLE LABEL v33 "Q6b Change in spending time: Doing household work". COMMENT TO v33: Q6 Suppose you could change the way you spend your time, spending more time on some things and less time on others. Which of the things on the following list would you like to spend more time on, which would you like to spend less time on and which would you like to spend the same amount of time on as now? Q6b Time doing household work . VALUE LABELS v33 1 "Much more time" 2 "A bit more time" 3 "Same time as now" 4 "A bit less time" 5 "Much less time" 8 "Can't choose" 9 "NA" 0 "Doesn't apply" . VARIABLE LABEL v34 "Q6c Change in spending time: Time with your family". COMMENT TO v34: Q6 Suppose you could change the way you spend your time, spending more time on some things and less time on others. Which of the things on the following list would you like to spend more time on, which would you like to spend less time on and which would you like to spend the same amount of time on as now? Q6b Time with your family . VALUE LABELS v34 1 "Much more time" 2 "A bit more time" 3 "Same time as now" 4 "A bit less time" 5 "Much less time" 8 "Can't choose" 9 "NA" 0 "Doesn't apply" . VARIABLE LABEL v35 "Q6d Change in spending time: Time in leisure activities". COMMENT TO v35: Q6 Suppose you could change the way you spend your time, spending more time on some things and less time on others. Which of the things on the following list would you like to spend more time on, which would you like to spend less time on and which would you like to spend the same amount of time on as now? Q6d Time in leisure activities . VALUE LABELS v35 1 "Much more time" 2 "A bit more time" 3 "Same time as now" 4 "A bit less time" 5 "Much less time" 8 "Can't choose" 9 "NA" 0 "Doesn't apply" . VARIABLE LABEL v36 "Q7a How many nights away from home for holidays". COMMENT TO v36: Q7a In the last 12 months, how many nights altogether did you stay away from home for holidays or social visits? (Please tick one box only) . VALUE LABELS v36 0 "I was not away" 1 "1-5 nights" 2 "6-10 nights" 3 "11-20 nights" 4 "21-30 nights" 5 "More than 30 nights" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v37 "Q7b How many days of leave from work". COMMENT TO v37: Q7b In the last 12 months, how many days of leave from your work, if any, did you take altogether (do not include maternity or sick leaves or similar types of leave)? (Please tick one box only) . VALUE LABELS v37 0 "None" 1 "1-5 days" 2 "6-10 days" 3 "11-20 days" 4 "21-30 days" 5 "More than 30 days" 6 "I do not work" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v38 "Q8a Most frequent sport or physical activity". COMMENT TO v38: Q8a What sport or physical activity do you take part in most frequently? (If you do not take part in any sport or physical activity, please tick the box provided below) (Most frequent sport or physical activity ... Please write in) <"Code" to be used when directly coded in face-to-face interviews> Coding list for Sports (Questions 8a, 10a and 10b) Coding instructions: The following list is based on ISSP countries' most prominent sport activities. The questions on sport activities are asked open-ended. Thus, respondents' answers or entries have to be coded either by interviewer, coder or other persons from ISSP countries' staff according to that scheme into numeric values (three digits). Please note that country-specific codes or codes not included in the following list cannot be accepted for the international and integrated ISSP file Sport activities are organized into four main groups (100=Team sports, 200=Racket sports, 300=Athletics and fitness sports, and 400=other sports) The main groups offer detailed categories. Team sports, eg starts with American football (101) and ends with volleyball (112). If possible, then these detailed categories should be coded prior to the general ones of the main groups. Main groups should only be coded if respondents answer or enter a general main group, e.g. racket sports. If there are any activities which are not explicitly listed, then, please, code into one of the 'other' categories: 199='other team sport', 299='other racket or bat sport', 399='other fitness sport' or 499='other sport' Please only use 499='other sport' if more precise classification is not possible. . VALUE LABELS v38 100 "Team sports" 101 "American football" 102 "Baseball, softball" 103 "Basketball" 104 "Cricket" 105 "Ice hockey" 106 "Field hockey" 107 "Football, soccer" 108 "Handball" 109 "Netball" 110 "Polo, water polo" 111 "Rugby" 112 "Volleyball" 199 "Other team sports" 200 "Racket sports" 201 "Badminton" 202 "Squash" 203 "Table tennis" 204 "Tennis" 299 "Other racket or bat sports" 300 "Athletics and fitness sports" 301 "Athletics (e.g. running, long-/high-jumping), marathon" 302 "Body training (eg body-building, artist.gymnastics)" 303 "Fitness (aerobics, exercise machine-training, work-out)" 304 "Jogging" 305 "Walking, Nordic-w, trekking, climbing)" 399 "Other fitness sports" 400 "Other sports" 401 "Adrenaline sports (e.g. bungee-jumping, paragliding)" 402 "Billiards, pool, snooker" 403 "Biathlon, triathlon" 404 "Bowling, curling, bocce" 405 "Boat sports (e.g. sailing, rowing, yachting)" 406 "Bullfight" 407 "Cockfighting" 408 "Cycling, mountain-biking" 409 "Dancing (e.g. ballroom dancing, ballet)" 410 "Darts" 411 "Fencing" 412 "Fishing, hunting" 413 "Golf, minigolf" 414 "Horse riding, horse racing" 415 "Ice skating" 416 "Inline skating, skateboarding, roller skating" 417 "Martial arts (e.g. Boxing, wrestling, Judo)" 418 "Motor sports (motor racing, go carting)" 419 "Rodeo" 420 "Shooting (pistols, rifle, archery)" 421 "Swimming, diving, snorkeling" 422 "Surfing, water-skiing" 423 "Snow-sports (skiing, snowboarding, cross-country)" 499 "Other sports" 999 "NA" . VARIABLE LABEL v39 "Q8b Type of games played most frequently". COMMENT TO v39: Q8b Thinking about games rather than sports or physical activities, what type of game do you play most frequently? (Select the most appropriate game from the list below and tick the corresponding box) (If you do not play any game, please tick the box at the very bottom of the list) (Please tick one box only) . VALUE LABELS v39 1 "Backgammon" 2 "Checkers (brit. draughts)" 3 "Chess" 4 "Go" 5 "Other board games" 6 "Card games" 7 "Dominoes" 8 "Mah-jongg" 9 "Jigsaw puzzles" 10 "Word or number games" 11 "Video games, computer games" 12 "Gambling games" 13 "Country specific games" 14 "Other games" 96 "I do not play any game" 99 "NA" . VARIABLE LABEL v40 "Q9a Reasons for sport or games: Physical or mental health". COMMENT TO v40: Q9 Please indicate how important the following reasons are for you to take part in sports or games (Please tick one box on each line) Q9a For physical or mental health . VALUE LABELS v40 1 "Very important" 2 "Somewhat important" 3 "Not very important" 4 "Not important" 8 "Can't choose" 9 "NA" 0 "Doesn't apply" . VARIABLE LABEL v41 "Q9b Reasons for sport or games: To meet other people". COMMENT TO v41: Q9 Please indicate how important the following reasons are for you to take part in sports or games (Please tick one box on each line) Q9b To meet other people . VALUE LABELS v41 1 "Very important" 2 "Somewhat important" 3 "Not very important" 4 "Not important" 8 "Can't choose" 9 "NA" 0 "Doesn't apply" . VARIABLE LABEL v42 "Q9c Reasons for sport or games: To compete against others". COMMENT TO v42: Q9 Please indicate how important the following reasons are for you to take part in sports or games (Please tick one box on each line) Q9c To compete against others . VALUE LABELS v42 1 "Very important" 2 "Somewhat important" 3 "Not very important" 4 "Not important" 8 "Can't choose" 9 "NA" 0 "Doesn't apply" . VARIABLE LABEL v43 "Q9d Reasons for sport or games: To look good". COMMENT TO v43: Q9 Please indicate how important the following reasons are for you to take part in sports or games (Please tick one box on each line) Q9d To look good . VALUE LABELS v43 1 "Very important" 2 "Somewhat important" 3 "Not very important" 4 "Not important" 8 "Can't choose" 0 "Doesn't apply" . VARIABLE LABEL v44 "Q10a Most frequent sport watched on TV". COMMENT TO v44: Q10a What sport do you watch on TV most frequently? (If you do not watch any sport on TV, please tick the box provided below and skip to question 11) Most frequent sport watched ... (Please write in) (Code ....) I do not watch any sport on TV .. > go to Question 11 <"Code" to be used when directly coded in face-to-face interviews) Coding instructions are reported with v38 . VALUE LABELS v44 100 "Team sports" 101 "American football" 102 "Baseball, softball" 103 "Basketball" 104 "Cricket" 105 "Ice hockey" 106 "Field hockey" 107 "Football, soccer" 108 "Handball" 109 "Netball" 110 "Polo, water polo" 111 "Rugby" 112 "Volleyball" 199 "Other team sports" 200 "Racket sports" 201 "Badminton" 202 "Squash" 203 "Table tennis" 204 "Tennis" 299 "Other racket or bat sports" 300 "Athletics and fitness sports" 301 "Athletics (eg running, long-/high-jumping), marathon" 302 "Body training (eg body-building, artist.gymnastics)" 303 "Fitness (aerobics, exercise machine-training, work-out)" 304 "Jogging" 305 "Walking, Nordic-w, trekking, climbing)" 399 "Other fitness sports" 400 "Other sports" 401 "Adrenaline sports (e.g. bungee-jumping, paragliding)" 402 "Billiards, pool, snooker" 403 "Biathlon, triathlon" 404 "Bowling, curling, bocce" 405 "Boat sports (e.g. sailing, rowing, yachting)" 406 "Bullfight" 407 "Cockfighting" 408 "Cycling, mountain-biking" 409 "Dancing (e.g. ballroom dancing, ballet)" 410 "Darts" 411 "Fencing" 412 "Fishing, hunting" 413 "Golf, minigolf" 414 "Horse riding, horse racing" 415 "Ice skating" 416 "Inline skating, skateboarding, roller skating" 417 "Martial arts (e.g. Boxing, wrestling, Judo)" 418 "Motor sports (motor racing, go carting)" 419 "Rodeo" 420 "Shooting (pistols, rifle, archery)" 421 "Swimming, diving, snorkeling" 422 "Surfing, water-skiing" 423 "Snow-sports (skiing, snowboarding, cross-country)" 499 "Other sports" 999 "NA" . VARIABLE LABEL v45 "Q10b Second most frequent sport watched on TV". COMMENT TO v45: Q10b What sport is the SECOND MOST FREQUENT that you watch on TV? Second most frequent sport watched ... (Please write in) (Code ....) I do not watch a second sport on TV <"Code" to be used when directly coded in face-to-face interviews) Coding instructions are reported with v38 . VALUE LABELS v45 100 "Team sports" 101 "American football" 102 "Baseball, softball" 103 "Basketball" 104 "Cricket" 105 "Ice hockey" 106 "Field hockey" 107 "Football, soccer" 108 "Handball" 109 "Netball" 110 "Polo, water polo" 111 "Rugby" 112 "Volleyball" 199 "Other team sports" 200 "Racket sports" 201 "Badminton" 202 "Squash" 203 "Table tennis" 204 "Tennis" 299 "Other racket or bat sports" 300 "Athletics and fitness sports" 301 "Athletics (eg running, long-/high-jumping), marathon" 302 "Body training (eg body-building, artist.gymnastics)" 303 "Fitness (aerobics, exercise machine-training, work-out)" 304 "Jogging" 305 "Walking, Nordic-w, trekking, climbing)" 399 "Other fitness sports" 400 "Other sports" 401 "Adrenaline sports (e.g. bungee-jumping, paragliding)" 402 "Billiards, pool, snooker" 403 "Biathlon, triathlon" 404 "Bowling, curling, bocce" 405 "Boat sports (e.g. sailing, rowing, yachting)" 406 "Bullfight" 407 "Cockfighting" 408 "Cycling, mountain-biking" 409 "Dancing (e.g. ballroom dancing, ballet)" 410 "Darts" 411 "Fencing" 412 "Fishing, hunting" 413 "Golf, minigolf" 414 "Horse riding, horse racing" 415 "Ice skating" 416 "Inline skating, skateboarding, roller skating" 417 "Martial arts (e.g. Boxing, wrestling, Judo)" 418 "Motor sports (motor racing, go carting)" 419 "Rodeo" 420 "Shooting (pistols, rifle, archery)" 421 "Swimming, diving, snorkeling" 422 "Surfing, water-skiing" 423 "Snow-sports (skiing, snowboarding, cross-country)" 499 "Other sports" 999 "NA" . VARIABLE LABEL v46 "Q11 How proud about an international sport competition?". COMMENT TO v46: Q11 How proud are you when does well at an international sports or games competition? (Please tick one box only) . VALUE LABELS v46 1 "I am very proud" 2 "I am somewhat proud" 3 "I am not very proud" 4 "I am not proud at all" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v47 "Q12a Opinion: Sport develops children's character". COMMENT TO v47: Q12 People have different opinions about sports. To what extent do you agree or disagree with the following statements? (Please tick one box on each line) Q12a Taking part in sports develops children's character. . VALUE LABELS v47 1 "Agree strongly" 2 "Agree" 3 "Neither agree nor disagree" 4 "Disagree" 5 "Disagree strongly" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v48 "Q12b Opinion: Too much sport on TV". COMMENT TO v48: Q12 People have different opinions about sports. To what extent do you agree or disagree with the following statements? (Please tick one box on each line) Q12b There is too much sport on TV. . VALUE LABELS v48 1 "Agree strongly" 2 "Agree" 3 "Neither agree nor disagree" 4 "Disagree" 5 "Disagree strongly" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v49 "Q12c Opinion: Sport brings different groups together". COMMENT TO v49: Q12 People have different opinions about sports. To what extent do you agree or disagree with the following statements? (Please tick one box on each line) Q12c Sports bring different groups and races inside (R's Country) closer together. . VALUE LABELS v49 1 "Agree strongly" 2 "Agree" 3 "Neither agree nor disagree" 4 "Disagree" 5 "Disagree strongly" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v50 "Q12d Opinion: Intern. sport competition create tension betw. countries". COMMENT TO v50: Q12 People have different opinions about sports. To what extent do you agree or disagree with the following statements? (Please tick one box on each line) Q12d International sports competitions create more tension between countries than good feelings. . VALUE LABELS v50 1 "Agree strongly" 2 "Agree" 3 "Neither agree nor disagree" 4 "Disagree" 5 "Disagree strongly" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v51 "Q12e Opinion: Government should spend more money on sports". COMMENT TO v51: Q12 People have different opinions about sports. To what extent do you agree or disagree with the following statements? (Please tick one box on each line) Q12e (R's Country's) government should spend more money on sports. . VALUE LABELS v51 1 "Agree strongly" 2 "Agree" 3 "Neither agree nor disagree" 4 "Disagree" 5 "Disagree strongly" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v52 "Q13a Participation: A sports association/group". COMMENT TO v52: Now, some questions about your social involvement Q13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups? I have participated in: (Please tick one box on each line) Q13a ... A sports association/group . VALUE LABELS v52 1 "At least once a week" 2 "At least once a month" 3 "Several times" 4 "Once or twice" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v53 "Q13b Participation: A cultural association/group". COMMENT TO v53: Q13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups? I have participated in: Q13b ... A cultural association/group . VALUE LABELS v53 1 "At least once a week" 2 "At least once a month" 3 "Several times" 4 "Once or twice" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v54 "Q13c Participation: A church or religious organisation". COMMENT TO v54: Q13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups? I have participated in Q13c ... A church or other religious organisation . VALUE LABELS v54 1 "At least once a week" 2 "At least once a month" 3 "Several times" 4 "Once or twice" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v55 "Q13d Participation: A community-service or civic association/group". COMMENT TO v55: Q13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups? I have participated in Q13d ... A community-service or civic association/group . VALUE LABELS v55 1 "At least once a week" 2 "At least once a month" 3 "Several times" 4 "Once or twice" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v56 "Q13e Participation: A political party or organisation". COMMENT TO v56: Q13 In the last 12 months, how often have you participated in the activities of one of the following associations or groups? I have participated in Q13e ...A political party or organisation . VALUE LABELS v56 1 "At least once a week" 2 "At least once a month" 3 "Several times" 4 "Once or twice" 5 "Never" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v57 "Q14a Trust in people or careful in dealing with people". COMMENT TO v57: Q14a Generally speaking, would you say that people can be trusted or that you can't be too careful in dealing with people? (Please tick one box only) . VALUE LABELS v57 1 "People can almost always be trusted" 2 "People can usually be trusted" 3 "You usually can't be too careful in dealing with people" 4 "You almost always can't be too careful in dealing with people" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v58 "Q14b Personal interest in politics". COMMENT TO v58: Q14b How interested would you say you personally are in politics? (Please tick one box only) . VALUE LABELS v58 1 "Very interested" 2 "Fairly interested" 3 "Not very interested" 4 "Not at all interested" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v59 "Q15a Obstacle: Lack of facilities nearby". COMMENT TO v59: Now, some questions about your personal situation Q15 To what extent do the following conditions prevent you from doing the free time activities you would like to do? (Please tick one box on each line) Q15a Lack of facilities nearby . VALUE LABELS v59 1 "Very much" 2 "To a large extent" 3 "To some extent" 4 "Not at all" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v60 "Q15b Obstacle: Lack of money". COMMENT TO v60: Q15 To what extent do the following conditions prevent you from doing the free time activities you would like to do? Q15b Lack of money . VALUE LABELS v60 1 "Very much" 2 "To a large extent" 3 "To some extent" 4 "Not at all" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v61 "Q15c Obstacle: Personal health, age or disability". COMMENT TO v61: Q15 To what extent do the following conditions prevent you from doing the free time activities you would like to do? Q15c Personal health, age or disability . VALUE LABELS v61 1 "Very much" 2 "To a large extent" 3 "To some extent" 4 "Not at all" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v62 "Q15d Obstacle: Taking care of someone". COMMENT TO v62: Q15 To what extent do the following conditions prevent you from doing the free time activities you would like to do? Q15d Need to take care of someone (elderly, children,...) . VALUE LABELS v62 1 "Very much" 2 "To a large extent" 3 "To some extent" 4 "Not at all" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v63 "Q15e Obstacle: Lack of time". COMMENT TO v63: Q15 To what extent do the following conditions prevent you from doing the free time activities you would like to do? Q15e Lack of time . VALUE LABELS v63 1 "Very much" 2 "To a large extent" 3 "To some extent" 4 "Not at all" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v64 "Q16 How happy or unhappy in general, these days". COMMENT TO v64: Q16 If you were to consider your life in general these days, how happy or unhappy would you say you are, on the whole? (Please tick one box only) . VALUE LABELS v64 1 "Very happy" 2 "Fairly happy" 3 "Not very happy" 4 "Not at all happy" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v65 "Q17 Status of health in general". COMMENT TO v65: Q17 In general, would you say your health is: (Please tick one box only) . VALUE LABELS v65 1 "Excellent" 2 "Very good" 3 "Good" 4 "Fair" 5 "Poor" 8 "Can't choose" 9 "NA" . VARIABLE LABEL v66 "Q18a Yesterday was: Working-day or holiday". COMMENT TO v66: VII. Optional items Q18 Now, two questions about yesterday Q18a Just to recall for you, yesterday was: (Please tick one box only) . VALUE LABELS v66 1 "A weekday or working-day" 2 "A day off or a holiday" 9 "NA" . VARIABLE LABEL v67 "Q18b Time of getting up yesterday". COMMENT TO v67: Q18b At about what time did you get up yesterday? At ... o'clock ... minutes (Please enter using the 24-hour format) . VALUE LABELS v67 999 "NA" . VARIABLE LABEL v68 "Q18c Time go to sleep yesterday". COMMENT TO v68: Q18c At about what time did you go to sleep yesterday? At ... o'clock ... minutes (Please enter using the 24-hour format) . VALUE LABELS v68 999 "NA" . VARIABLE LABEL v69 "Q19a Height of Respondent: cm". COMMENT TO v69: Q19 Could you please tell me your: Q19a Height: ... cm . VALUE LABELS v69 999 "NA" . VARIABLE LABEL v70 "Q19b Weight of Respondent: kg". COMMENT TO v70: Q19 Could you please tell me your: Q19b Weight: ... kg . VALUE LABELS v70 999 "NA" . VARIABLE LABEL v71 "Q20 Would you like to gain or lose weight?". COMMENT TO v71: Q20 Would you like to: (Please tick one box only) . VALUE LABELS v71 1 "Gain weight" 2 "Maintain your current weight" 3 "Lose weight" 8 "I don't care about my weight" 9 "NA" . VARIABLE LABEL v72 "Q2a Pictures of the ideal shape of a man". COMMENT TO v72: Q21 Which of the following pictures come closest to your conception of an ideal shape of a man and a woman? (Please tick the box below the picture of your choice of the ideal man) Q21a. Man . VALUE LABELS v72 1 "picture 1 (very corpulent)" 2 "picture 2 (corpulent)" 3 "picture 3 (slender)" 4 "picture 4 (very slender)" 9 "NA" . VARIABLE LABEL v73 "Q21b Pictures of the ideal shape of a woman". COMMENT TO v73: Q21 Which of the following pictures come closest to your conception of an ideal shape of a man and a woman? (Please tick the box below the picture of your choice of the ideal man) Q21b. Woman . VALUE LABELS v73 1 "picture 1 (very corpulent)" 2 "picture 2 (corpulent)" 3 "picture 3 (slender)" 4 "picture 4 (very slender)" 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". COMMENT TO marital: The aim of this variable is to measure the ‘legal’ status. Cohabitation outside a formal marriage should be coded separately in variable COHAB. . VALUE LABELS marital 1 "Married" 2 "Widowed" 3 "Divorced" 4 "Separated (married but sep./not living w legal spouse)" 5 "Never married" 9 "NA, refused" . VARIABLE LABEL cohab "R: Steady life-partner". COMMENT TO cohab: Use this variable to code relationships outside a formal marriage, i.e. when the R is NOT married or NOT living together with the legal spouse. . VALUE LABELS cohab 0 "NAP (married and living w legal spouse, Code 1 in MARITAL)" 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 "1-5999 CZK" 6750 "6000-7499 CZK" 8250 "7500-8999 CZK" 9500 "9000-9999 CZK" 10500 "10000-10999 CZK" 11500 "11000-11999 CZK" 12750 "12000-13499 CZK" 14250 "13500-14999 CZK" 16000 "15000-16999 CZK" 18500 "17000-19999 CZK" 22500 "20000-24999 CZK" 27500 "25000-29999 CZK" 32500 "30000-34999 CZK" 37500 "35000-39999 CZK" 45000 "40000-49999 CZK" 55000 "50000-59999 CZK" 65000 "60000 and more CZK" 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" 7000 "less than 8 000 CZK" 9000 "8000-9999 CZK" 11000 "10000-11999 CZK" 13000 "12000-13999 CZK" 15000 "14000-15999 CZK" 17000 "16000-17999 CZK" 19000 "18000-19999 CZK" 21500 "20000-22999 CZK" 24500 "23000-25999 CZK" 28000 "26000-29999 CZK" 32500 "30000-34999 CZK" 37500 "35000-39999 CZK" 45000 "40000-49999 CZK" 55000 "50000-59999 CZK" 67500 "60000-74999 CZK" 82500 "75000-89999 CZK" 97500 "90000 and more CZK" 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