libname library 'xxx' ;

proc format library = library ;
   value V3F
      1 = 'AU-Australia'  
      2 = 'DE-W-Germany-West'  
      3 = 'DE-E-Germany-East'  
      4 = 'GB-Great Britain'  
      6 = 'US-United States'  
      8 = 'HU-Hungary'  
      10 = 'IE-Ireland'  
      12 = 'NO-Norway'  
      13 = 'SE-Sweden'  
      14 = 'CZ-Czech Republic'  
      15 = 'SI-Slovenia'  
      17 = 'BG-Bulgaria'  
      18 = 'RU-Russia'  
      19 = 'NZ-New Zealand'  
      20 = 'CA-Canada'  
      21 = 'PH-Philippines'  
      22 = 'IL-Israel'  
      24 = 'JP-Japan'  
      25 = 'ES-Spain'  
      26 = 'LV-Latvia'  
      28 = 'FR-France'  
      29 = 'CY-Cyprus'  
      30 = 'PT-Portugal'  
      32 = 'DK-Denmark'  
      33 = 'CH-Switzerland'  
      34 = 'FLA-Flanders'  
      37 = 'FI-Finland'  
      38 = 'MX-Mexico'  
      39 = 'TW-Taiwan'  
      40 = 'ZA-South Africa'  
      41 = 'KR-South Korea'  
      43 = 'DO- Dominican republic' ;
   value V4F
      0 = 'Doesnt apply'  
      1 = 'Much more time'  
      2 = 'A bit more time'  
      3 = 'Same time as now'  
      4 = 'A bit less time'  
      5 = 'Much less time'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V5F
      0 = 'Doesnt apply'  
      1 = 'Much more time'  
      2 = 'A bit more time'  
      3 = 'Same time as now'  
      4 = 'A bit less time'  
      5 = 'Much less time'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V6F
      0 = 'Doesnt apply'  
      1 = 'Much more time'  
      2 = 'A bit more time'  
      3 = 'Same time as now'  
      4 = 'A bit less time'  
      5 = 'Much less time'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V7F
      0 = 'Doesnt apply'  
      1 = 'Much more time'  
      2 = 'A bit more time'  
      3 = 'Same time as now'  
      4 = 'A bit less time'  
      5 = 'Much less time'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V8F
      0 = 'Doesnt apply'  
      1 = 'Much more time'  
      2 = 'A bit more time'  
      3 = 'Same time as now'  
      4 = 'A bit less time'  
      5 = 'Much less time'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V9F
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V10F
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V11F
      1 = 'Very important'  
      2 = 'Important'  
      3 = 'Neither important nor unimportant'  
      4 = 'Not important'  
      5 = 'Not important at all'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V12F
      1 = 'Very important'  
      2 = 'Important'  
      3 = 'Neither important nor unimportant'  
      4 = 'Not important'  
      5 = 'Not important at all'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V13F
      1 = 'Very important'  
      2 = 'Important'  
      3 = 'Neither important nor unimportant'  
      4 = 'Not important'  
      5 = 'Not important at all'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V14F
      1 = 'Very important'  
      2 = 'Important'  
      3 = 'Neither important nor unimportant'  
      4 = 'Not important'  
      5 = 'Not important at all'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V15F
      1 = 'Very important'  
      2 = 'Important'  
      3 = 'Neither important nor unimportant'  
      4 = 'Not important'  
      5 = 'Not important at all'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V16F
      1 = 'Very important'  
      2 = 'Important'  
      3 = 'Neither important nor unimportant'  
      4 = 'Not important'  
      5 = 'Not important at all'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V17F
      1 = 'Very important'  
      2 = 'Important'  
      3 = 'Neither important nor unimportant'  
      4 = 'Not important'  
      5 = 'Not important at all'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V18F
      1 = 'Very important'  
      2 = 'Important'  
      3 = 'Neither important nor unimportant'  
      4 = 'Not important'  
      5 = 'Not important at all'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V19F
      1 = 'Being an employee'  
      2 = 'Being self-employed'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V20F
      1 = 'Workg in a small firm'  
      2 = 'Workg in a large firm'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V21F
      1 = 'Workg in private business'  
      2 = 'Workg f government or civil service'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V22F
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V23F
      0 = 'Not available (not CZ)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V23_CZ
      0 = 'Not available (CZ specific)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V24F
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V25F
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V26F
      1 = 'A full-time job,30hrs or more'  
      2 = 'A part-time job,10-29 hrs'  
      3 = 'Less than 10 hrs job'  
      4 = 'No paid job at all'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V27F
      1 = 'Yes'  
      2 = 'No'  
      9 = 'NA, refused' ;
   value V28F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Work longer, earn more money'  
      2 = 'Same number of hrs, same money'  
      3 = 'Work fewer, earn less money'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V29F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V30F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V31F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V32F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V33F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V34F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V35F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V36F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V37F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Always'  
      2 = 'Often'  
      3 = 'Sometimes'  
      4 = 'Hardly ever'  
      5 = 'Never'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V38F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Always'  
      2 = 'Often'  
      3 = 'Sometimes'  
      4 = 'Hardly ever'  
      5 = 'Never'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V39F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Always'  
      2 = 'Often'  
      3 = 'Sometimes'  
      4 = 'Hardly ever'  
      5 = 'Never'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V40F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Always'  
      2 = 'Often'  
      3 = 'Sometimes'  
      4 = 'Hardly ever'  
      5 = 'Never'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V41F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'I cannot change, fixed time'  
      2 = 'Can decide within certain limits'  
      3 = 'Entirely free to decide'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V42F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'I am free to decide'  
      2 = 'Decide within certain limits'  
      3 = 'I am not free to decide'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V43F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Not difficult at all'  
      2 = 'Not too difficult'  
      3 = 'Somewhat difficult'  
      4 = 'Very difficult'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V44F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Always'  
      2 = 'Often'  
      3 = 'Sometimes'  
      4 = 'Hardly ever'  
      5 = 'Never'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V45F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Always'  
      2 = 'Often'  
      3 = 'Sometimes'  
      4 = 'Hardly ever'  
      5 = 'Never'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V46F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Almost none'  
      2 = 'A little'  
      3 = 'A lot'  
      4 = 'Almost all'  
      5 = 'IL: My first job'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V47F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Very helpful'  
      2 = 'Quite helpful'  
      3 = 'Not so helpful'  
      4 = 'Not helpful at all'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V48F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Yes'  
      2 = 'No'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V49F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Very good'  
      2 = 'Quite good'  
      3 = 'Neither good nor bad'  
      4 = 'Quite bad'  
      5 = 'Very bad'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V50F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Very good'  
      2 = 'Quite good'  
      3 = 'Neither good nor bad'  
      4 = 'Quite bad'  
      5 = 'Very bad'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V51F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Completely satisfied'  
      2 = 'Very satisfied'  
      3 = 'Fairly satisfied'  
      4 = 'Neither satisfied nor dissatisfied'  
      5 = 'Fairly dissatisfied'  
      6 = 'Very dissatisfied'  
      7 = 'Completely dissatisfied'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V52F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V53F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V54F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V55F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Very easy'  
      2 = 'Fairly easy'  
      3 = 'Neither easy nor difficult'  
      4 = 'Fairly difficult'  
      5 = 'Very difficult'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V56F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Very easy'  
      2 = 'Fairly easy'  
      3 = 'Neither easy nor difficult'  
      4 = 'Fairly difficult'  
      5 = 'Very difficult'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V57F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Very likely'  
      2 = 'Likely'  
      3 = 'Unlikely'  
      4 = 'Very unlikely'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V58F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'I worry a great deal'  
      2 = 'I worry to some extent'  
      3 = 'I worry a little'  
      4 = 'I dont worry at all'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V59F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V60F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V61F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V62F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V63F
      0 = 'Not applicable (code 2 in V27)'  
      1 = 'No'  
      2 = 'Yes, mostly as an employee'  
      3 = 'Yes, mostly self-employed'  
      4 = 'Yes, other'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V64F
      0 = 'Not applicable (code 1 in V27)'  
      1 = 'Yes'  
      2 = 'No'  
      9 = 'NA, refused' ;
   value V65F
      0 = 'Not applicable (code 1 in V27 or code 2 in V64)'  
      1923 = '1923'  
      2006 = '2006'  
      9998 = 'Cant choose'  
      9999 = 'NA, refused' ;
   value V66F
      0 = 'Not applicable (code 1 in V27 or code 2 in V64)'  
      1 = 'Retired by age'  
      2 = 'Retired by choice'  
      3 = 'Retired not by choice'  
      4 = 'Became disabled'  
      5 = 'Workplace shut down'  
      6 = 'Dismissed'  
      7 = 'Contract ended'  
      8 = 'Family responsibilities'  
      9 = 'Got married'  
      10 = 'IL, KR, PT, PH,ZA: Others'  
      98 = 'Cant choose'  
      99 = 'NA, refused' ;
   value V67F
      0 = 'Not applicable (code 1 in V27)'  
      1 = 'Yes'  
      2 = 'No'  
      8 = 'Can´t Choose'  
      9 = 'NA, refused' ;
   value V68F
      0 = 'Not applicable (code 1 in V27)'  
      1 = 'Very likely'  
      2 = 'Likely'  
      3 = 'Unlikely'  
      4 = 'Very unlikely'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V69F
      0 = 'Not applicable (code 1 in V27)'  
      1 = 'Yes'  
      2 = 'No'  
      8 = 'Can´t Choose'  
      9 = 'NA, refused' ;
   value V70F
      0 = 'Not applicable (code 1 in V27)'  
      1 = 'No'  
      2 = 'Yes, once or twice'  
      3 = 'Yes, more than twice'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V71F
      0 = 'Not applicable (code 1 in V27)'  
      1 = 'No'  
      2 = 'Yes, once or twice'  
      3 = 'Yes, more than twice'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V72F
      0 = 'Not applicable (code 1 in V27)'  
      1 = 'No'  
      2 = 'Yes, once or twice'  
      3 = 'Yes, more than twice'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V73F
      0 = 'Not applicable (code 1 in V27)'  
      1 = 'No'  
      2 = 'Yes, once or twice'  
      3 = 'Yes, more than twice'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V74F
      0 = 'Not applicable (code 1 in V27)'  
      1 = 'No'  
      2 = 'Yes, once or twice'  
      3 = 'Yes, more than twice'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V75F
      0 = 'Not applicable (code 1 in V27)'  
      1 = 'No'  
      2 = 'Yes, once or twice'  
      3 = 'Yes, more than twice'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V76F
      0 = 'Not applicable (code 1 in V27)'  
      1 = 'Yes'  
      2 = 'No'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V77F
      0 = 'Not applicable (code 1 in V27)'  
      1 = 'Pension, private or state'  
      2 = 'Unemployment benefits'  
      3 = 'Spouse/partner'  
      4 = 'Other family members'  
      5 = 'Social assistance/welfare'  
      6 = 'Occasional work'  
      7 = 'Other'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V78F
      0 = 'Not available'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V79F
      0 = 'Not available'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V80F
      0 = 'Not available'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V81F
      0 = 'Not available'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V82F
      0 = 'Not available'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V83F
      0 = 'Not available'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V84F
      0 = 'Not available'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V85F
      0 = 'Not available'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V86F
      0 = 'Not available'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value V87F
      0 = 'Not available'  
      1 = 'Strongly agree'  
      2 = 'Agree'  
      3 = 'Neither agree nor disagree'  
      4 = 'Disagree'  
      5 = 'Strongly disagree'  
      8 = 'Cant choose'  
      9 = 'NA, refused' ;
   value SEX
      1 = 'Male'  
      2 = 'Female'  
      9 = 'M NA, refused' ;
   value AGE
      15 = '15'  
      89 = '89, USA: 89 or older'  
      98 = '98'  
      99 = 'M NA, refused' ;
   value MARITAL
      1 = 'Marr,livg as married'  
      2 = 'Widowed'  
      3 = 'Divorced'  
      4 = 'Separated, but married'  
      5 = 'Single, never married'  
      9 = 'M NA, refused' ;
   value COHAB
      0 = 'M NAP,married,no partner,NAV'  
      1 = 'Yes'  
      2 = 'No'  
      9 = 'M NA,refused' ;
   value EDUCYRS
      0 = '0 years'  
      1 = '1'  
      49 = '49'  
      95 = 'Still at school'  
      96 = 'Still at college,university'  
      97 = 'M No formal schooling'  
      98 = 'M Dont know'  
      99 = 'M NA, refused' ;
   value 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'  
      7 = 'CH: Other education'  
      9 = 'M NA' ;
   value AU_DEGR
      0 = 'M Not available'  
      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'  
      9 = 'M NA, refused' ;
   value BG_DEGR
      0 = 'M Not available'  
      1 = 'None'  
      2 = 'Primary'  
      3 = 'Lower secondary'  
      4 = 'Upper secondary'  
      5 = 'Secondary technical'  
      6 = 'College'  
      7 = 'Higher'  
      8 = 'University and higher' ;
   value CA_DEGR
      0 = 'Not available'  
      1 = 'No formal education'  
      2 = 'Some grade school'  
      3 = 'Finished grade school'  
      4 = 'Some high school'  
      5 = 'Finished high school'  
      6 = 'College/CEGEP/some university'  
      7 = 'Completed university'  
      8 = 'Graduate studies'  
      9 = 'Na, refused' ;
   value CH_DEGR
      0 = 'Not available'  
      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´s degree'  
      14 = 'University, tech uni (4-5 yrs, master´s degree)'  
      15 = 'University, tech higher spec uni (PhD)'  
      95 = 'Other education' ;
   value CY_DEGR
      0 = 'M Not available'  
      1 = 'None'  
      2 = 'Incomplete primary'  
      3 = 'Primary completed'  
      4 = 'Incomplete secondary'  
      5 = 'Secondary completed'  
      6 = 'Higher vocational studies'  
      7 = 'University completed'  
      99 = 'NA' ;
   value CZ_DEGR
      0 = 'M Not available'  
      1 = 'Incomplete primary'  
      2 = 'Primary completed'  
      3 = 'Lower vocational'  
      4 = 'General sec.,no diploma'  
      5 = 'Vocational, upper diploma'  
      6 = 'Technical secondary'  
      7 = 'Academic secondary'  
      8 = 'Higher education'  
      9 = 'Tertiary,bachelor'  
      10 = 'Tertiary,master degree'  
      11 = 'Post-graduate education'  
      99 = 'NA' ;
   value DE_DEGR
      0 = 'M Not available'  
      1 = 'Still at school'  
      2 = 'School left without certificate'  
      3 = 'Lower secondary, Hauptschule'  
      4 = 'Middle school, mittlere Reife'  
      5 = 'Secondary, technical'  
      6 = 'Higher secondary, Abitur'  
      7 = 'Special university, Fachhochschule'  
      8 = 'University'  
      9 = 'Other qualification'  
      99 = 'M NA' ;
   value DK_DEGR
      0 = 'M Not available'  
      1 = '7 yrs primary school or shorter'  
      2 = '8 yrs primary school'  
      3 = '9 yrs primary school'  
      4 = '10 yrs primary or similar'  
      5 = 'Gymnasium, general'  
      6 = 'Gymnasium, technical'  
      7 = 'Other'  
      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'  
      99 = 'M DK, NA' ;
   value DO_DEGR
      0 = 'M Not available'  
      1 = 'Never assisted formal education'  
      2 = 'Incomplete primary level'  
      3 = 'Primary eduction (8th grade)'  
      4 = 'Incomplete HIgh School'  
      5 = 'High School (12th grade)'  
      6 = 'Incomplete Technical degree'  
      7 = 'Technical Degree'  
      8 = 'Incomplete University (Less than 3 years)'  
      9 = 'University Degree'  
      10 = 'Post-graduate'  
      11 = 'Graduate studies'  
      12 = 'Other'  
      99 = 'No Answer' ;
   value ES_DEGR
      0 = 'M Not available'  
      1 = 'None'  
      2 = 'Incpl primary'  
      3 = 'Primary compl - EPO'  
      4 = 'Incpl secondary'  
      5 = 'Vocational school'  
      6 = 'Secondary compl - ESO'  
      7 = 'COU - PREU - Bachiller'  
      8 = 'Incpl university'  
      9 = 'University compl'  
      99 = 'NA' ;
   value FI_DEGR
      0 = 'M Not available'  
      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'  
      99 = 'M NA' ;
   value FLA_DEGR
      0 = 'M Not available'  
      1 = 'None'  
      2 = 'Primary education'  
      3 = 'Lower general secondary'  
      4 = 'Lower technical secondary'  
      5 = 'Lower secondary vocational'  
      6 = 'Lower special education'  
      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'  
      14 = 'Other or in doubt' ;
   value FR_DEGR
      0 = 'M Not available'  
      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'  
      99 = 'M NA' ;
   value GB_DEGR
      0 = 'M Not available'  
      1 = 'No sec. qualifications'  
      2 = 'CSE 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'  
      99 = 'M DK, NA' ;
   value HU_DEGR
      0 = 'M Not available'  
      2 = 'Less than primary'  
      3 = '8 years elementary'  
      4 = 'Vocational'  
      5 = 'Sec. technical+matura'  
      6 = 'Gymnasium, matura'  
      7 = 'Post-secondary'  
      8 = 'Accredited higher education'  
      9 = 'College'  
      10 = 'University'  
      99 = 'M NA' ;
   value IE_DEGR
      0 = 'M Not available'  
      1 = 'None'  
      2 = 'Incomplete primary'  
      3 = 'Primary complete'  
      4 = 'Incomplete first cycle secondary'  
      5 = 'complete first cycle secondary'  
      6 = 'Secondary complete'  
      7 = 'Incomplete third level'  
      8 = 'Cert or Diploma'  
      9 = 'University first degree'  
      10 = 'University degree Masters or higher'  
      99 = 'NA' ;
   value IL_DEGR
      0 = 'M Not available'  
      1 = 'No formal schooling'  
      2 = 'Lowest formal qualification'  
      3 = 'Incompl vocational'  
      4 = 'Vocational completed without matricul'  
      5 = 'Vocational compl with matriculation'  
      6 = 'Incomplete academic secondary'  
      7 = 'Full general without matricul'  
      8 = 'Academic secondary compl with matric'  
      9 = 'Yeshiva without matricul'  
      10 = 'Yeshiva with matric'  
      11 = 'Semi higher, post secondary'  
      12 = 'Incompl university'  
      13 = 'University compl, BA or more'  
      99 = 'NA, refused' ;
   value JP_DEGR
      0 = 'M Not available'  
      1 = 'Junior high completed'  
      2 = 'High school completed'  
      3 = 'Junior college completed'  
      4 = 'Finished university or Graduate'  
      5 = 'Still at High school'  
      6 = 'Still Junior college or University'  
      8 = 'Others'  
      99 = 'NA' ;
   value KR_DEGR
      0 = 'M NAV'  
      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 = 'Informal education'  
      99 = 'M NA' ;
   value LV_DEGR
      0 = 'M Not available'  
      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' ;
   value MX_DEGR
      0 = 'M Not available'  
      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'  
      99 = 'M NA' ;
   value NO_DEGR
      0 = 'M Not available'  
      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'  
      99 = 'M NA' ;
   value NZ_DEGR
      0 = 'M Not available'  
      1 = 'No formal qualification'  
      2 = 'School qualification only'  
      3 = 'Trade or professional certificate'  
      4 = 'Diploma below Bachelor'  
      5 = 'Bachelor degree'  
      99 = 'M NA' ;
   value PH_DEGR
      0 = 'M Not available'  
      1 = 'None'  
      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' ;
   value PT_DEGR
      0 = 'M Not available'  
      1 = 'No formal schooling'  
      2 = '4 or less yrs school'  
      3 = 'Until Compulsory school (5-9 yrs)'  
      4 = 'Incompl. sec, 5-11 y'  
      5 = 'Sec compl., 12 yrs'  
      6 = 'University incompl'  
      7 = 'University complete' ;
   value RU_DEGR
      0 = 'M Not available'  
      1 = 'None, still at school, university'  
      2 = 'Primary, less than primary'  
      3 = 'Incompleted secondary or vocational school'  
      4 = 'Secondary completed or vocational school completed'  
      5 = 'College'  
      6 = 'Incomleted university'  
      7 = 'University comleted' ;
   value SE_DEGR
      0 = 'M Not available'  
      1 = 'Primary or comprehensive school'  
      2 = 'Vocational school (1972-92)'  
      3 = 'Vocational school (post 1992)'  
      4 = 'Vocational school (pre 1972)'  
      5 = 'Alternative secondary school'  
      6 = 'Lower secondary school'  
      7 = '3 or 4 year gymnasium (academic track)'  
      8 = 'Gymnasium (academic track post 1992)'  
      9 = 'Higher secondary school'  
      10 = 'University studies without degree'  
      11 = 'University degree'  
      99 = 'M NA' ;
   value SI_DEGR
      0 = 'M Not available'  
      1 = 'Incomplete primary'  
      2 = 'Primary completed'  
      3 = 'Incomplete vocational'  
      4 = '2-3 yrs vocational'  
      5 = '4 yrs middle school'  
      6 = 'Incomplete university'  
      7 = 'Higher degree completed'  
      8 = 'University completed'  
      99 = 'M NA' ;
   value TW_DEGR
      0 = 'M Not available'  
      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 vocational academy'  
      11 = '2 yrs vocational academy'  
      12 = '3 yrs vocational academy'  
      13 = 'Military,police traing course'  
      14 = 'Military special course'  
      15 = 'Open college'  
      16 = 'Open university'  
      17 = 'Military,police officers academy'  
      18 = 'Technology institute, Technology University'  
      19 = 'University'  
      20 = 'Graduate school, MA degree'  
      21 = 'Graduate school, PhD degree'  
      22 = 'Other'  
      99 = 'NA' ;
   value US_DEGR
      0 = 'M Not available'  
      1 = 'Less th High school'  
      2 = 'High school'  
      3 = 'Junior college'  
      4 = 'Bachelor'  
      5 = 'Graduate'  
      99 = 'M NA' ;
   value ZA_DEGR
      0 = 'M Not available'  
      1 = 'No schooling'  
      2 = 'Grade 0/Grade R'  
      3 = 'Sub A/Grade 1'  
      4 = 'Sub B/Grade 2'  
      5 = 'Grade 3/Standard 1'  
      6 = 'Grade 4/Standard 2'  
      7 = 'Grade 5/Standard 3'  
      8 = 'Grade 6/Standard 4'  
      9 = 'Grade 7/Standard 5'  
      10 = 'Grade 8/Standard 6/Form 1'  
      11 = 'Grade 9/Standard 7/Form 2'  
      12 = 'Grade 10/Standard 8/Form 3'  
      13 = 'Grade 11/Standard 9/Form 4'  
      14 = 'Grade 12/Standard 10/Form 5/Matric'  
      17 = 'Diploma/certificate with less than Grade 12/Std 10'  
      18 = 'Diploma/certificate with Grade 12/Std 10'  
      19 = 'Degree'  
      20 = 'Postgraduate degree or diploma'  
      21 = 'Other'  
      99 = 'NA' ;
   value WRKST
      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'  
      97 = 'Refused'  
      98 = 'M Dont know'  
      99 = 'M NA' ;
   value WRKHRS
      0 = 'M NAV;NAP'  
      1 = '1'  
      96 = '96 and more'  
      97 = 'M Refused'  
      98 = 'M DK,cant say,varies too much'  
      99 = 'M NA' ;
   value ISCO88F
      0 = 'M NAP,NAV'  
      9996 = 'M Not classifiable; BG: Housewife, home duties'  
      9997 = 'M Refused'  
      9998 = 'M Dont know'  
      9999 = 'M NA' ;
   value WRKTYPE
      0 = 'M NAP,NAV NZ: Not in labour force'  
      1 = 'Work f government'  
      2 = 'Public owned firm,nat.ind'  
      3 = 'Private firm, others'  
      4 = 'Self employed'  
      5 = 'ZA: Other, BG: Co-operative, GB: Other, charity, voluntary s'  
      8 = 'Cant choose'  
      9 = 'M NA, dont know' ;
   value NEMPLOY
      0 = 'M NAV,NAP'  
      1 = '1'  
      1800 = '1800'  
      9995 = 'No employee'  
      9997 = 'M Refused'  
      9998 = 'M Dont know'  
      9999 = 'M NA' ;
   value WRKSUP
      0 = 'M NAP'  
      1 = 'Yes,supervises'  
      2 = 'No,do n supervise'  
      7 = 'M Refused'  
      8 = 'M Dont know'  
      9 = 'M NA' ;
   value UNION
      0 = 'M NAP, NAV'  
      1 = 'Currently member'  
      2 = 'Once member, not now'  
      3 = 'Never member'  
      8 = 'M Dont know'  
      9 = 'M NA, refused' ;
   value SPWRKST
      0 = 'M 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 = 'M Refused'  
      98 = 'M Dont know'  
      99 = 'M NA' ;
   value SPISCO88F
      0 = 'M NAP,NAV'  
      9996 = 'M Not classifiable;inadeq described; BG: Housewife, home dut'  
      9997 = 'M Refused'  
      9998 = 'M Dont know'  
      9999 = 'M NA' ;
   value SPWRKTYP
      0 = 'M NAP,NAV'  
      1 = 'Work f government'  
      2 = 'Public owned firm,nat.ind'  
      3 = 'Private firm, others'  
      4 = 'Self employed'  
      5 = 'ZA:Other, GB: Other, charity, voluntary sector'  
      8 = 'Cant choose'  
      9 = 'M NA, dont know' ;
   value AU_RINC
      0 = 'No income'  
      3120 = '$1 - $6,239 pa'  
      7280 = '$6,240 - $8,319 pa'  
      9360 = '$8,320 - $10,399 pa'  
      13000 = '$10,400 - $15,599 pa'  
      18200 = '$15,600 - $20,799 pa'  
      23400 = '$20,800 - $25,999 pa'  
      28600 = '$26,000 - $31,199 pa'  
      33800 = '$31,200 - $36,399 pa'  
      39000 = '$36,400 - $41,599 pa'  
      46800 = '$41,600 - $51,999 pa'  
      65000 = '$52,000 - $77,999 pa'  
      91000 = '$78,000 - $103,999 pa'  
      104000 = '$104,000 or more pa'  
      999990 = 'M NAP, other countries'  
      999999 = 'M NA, refused' ;
   value BG_RINC
      0 = 'No own income,not in paid work'  
      999990 = 'Not available: all other countries'  
      999997 = 'Refused' ;
   value CA_RINC
      7500 = '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-$84,999'  
      90000 = '$85,000-$94,999'  
      100000 = '$95,000+'  
      999990 = 'NAV, other countries'  
      999997 = 'Refused'  
      999999 = 'NA' ;
   value CH_RINC
      0 = 'No own income,not in paid work'  
      5 = '5'  
      145000 = '145000'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know'  
      999999 = 'M NA' ;
   value CY_RINC
      0 = 'No income'  
      50 = '0-100 CY Pounds'  
      150 = '101-200 CY Pounds'  
      250 = '201-300 CY Pounds'  
      350 = '301-400 CY Pounds'  
      450 = '401-500 CY Pounds'  
      550 = '501-600 CY Pounds'  
      700 = '601-800 CY Pounds'  
      900 = '801-1000 CY Pounds'  
      1100 = '1001-1200 CY Pounds'  
      1300 = 'More than 1200 CY Pounds'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know' ;
   value CZ_RINC
      0 = 'No own income,no 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 = 'M NAP, other countries'  
      999997 = 'Refused'  
      999998 = 'Dont know'  
      999999 = 'NA' ;
   value DE_RINC
      0 = 'No income'  
      30 = '30'  
      7500 = '7500'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999999 = 'M NA' ;
   value DK_RINC
      0 = 'No own income,no paid work'  
      50000 = '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 = 'M NAP, other countries'  
      999999 = 'M NA' ;
   value DO_RINC
      2500 = 'Less than RD$5.000'  
      10500 = 'RD$5.000-RD$15.999'  
      21500 = 'RD$16.000-RD$26.999'  
      32500 = 'RD$27.000-RD$37.999'  
      43500 = 'RD$38.000-RD$48.999'  
      54500 = 'RD$49.000-RD$59.999'  
      65000 = 'RD$60.000-RD$69.999'  
      75000 = 'RD$70.000-RD$79.999'  
      85000 = 'RD$80.000-RD$89.999'  
      95000 = 'RD$90,000+'  
      999990 = 'M NAP, other countries'  
      999997 = 'NS/NR' ;
   value ES_RINC
      150 = 'Up to 300 euros'  
      375 = '301 - 450 euros'  
      525 = '451 - 600 euros'  
      750 = '601 - 900 euros'  
      1050 = '901 - 1.200 euros'  
      1425 = '1.201 - 1.650 euros'  
      1875 = '1.651 - 2.100 euros'  
      2550 = '2.101 - 3.000 euros'  
      3500 = '3.001 euros and more'  
      999990 = 'M NAP, other countries'  
      999999 = 'No answer' ;
   value FI_RINC
      0 = 'No own income,not in paid work'  
      9 = '9'  
      168000 = '168000'  
      999990 = 'M NAP, other countries'  
      999999 = 'M NA' ;
   value FLA_RINC
      0 = 'No own income,not in paid work'  
      999990 = 'M NAP, other countries'  
      999998 = 'M DK'  
      999999 = 'M NA' ;
   value FR_RINC
      0 = 'No own income,not in paid work'  
      305 = '305 euros'  
      610 = '610 euros'  
      915 = '915 euros'  
      1296 = '1296 euros'  
      1906 = '1906euros'  
      2668 = '2668 euros'  
      3430 = '3430 euros'  
      4192 = '4192 euros'  
      5335 = '5335 euros'  
      6860 = '6860 euros'  
      9909 = '9909 euros'  
      999990 = 'M NAP, other countries'  
      999999 = 'M NA' ;
   value GB_RINC
      0 = 'No own income,no paid work'  
      2000 = 'Q Less than £3,999'  
      5000 = 'T £4,000 - £5,999'  
      7000 = 'O £6,000-£7,999'  
      9000 = 'K £8,000-£9,999'  
      11000 = 'L £10,000-£11,999'  
      13500 = 'B £12,000-£14,999'  
      16500 = 'Z £15,000-£17,999'  
      19000 = 'M £18,000-£19,999'  
      21500 = 'F £20,000-£22,999'  
      24500 = 'J £23,000-£25,999'  
      27500 = 'D £26,000-£28,999'  
      30500 = 'H £29,000-£31,999'  
      35000 = 'A £32,000-£37,999'  
      41000 = 'W £38,000-£43,999'  
      47000 = 'G £44,000-£49,999'  
      53000 = 'N £50,000-£55,999'  
      59000 = 'E £56,000 or more'  
      999990 = 'M NAP, other countries'  
      999997 = 'Refused'  
      999998 = 'Don´t know' ;
   value HU_RINC
      0 = 'No own income,not in paid work'  
      4000 = '4000'  
      500000 = '500000'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know'  
      999999 = 'M NA' ;
   value IE_RINC
      0 = 'No own income,not in paid work'  
      5000 = 'category A-under 6000 per year'  
      7750 = 'category B-6000 to under 9500 per year'  
      10750 = 'category C-9500 to under 12000 per year'  
      15000 = 'category D-12000 to under 18000 per year'  
      21000 = 'category E-18000 to under 24000 per year'  
      27000 = 'category F-24000 to under 30000 per year'  
      33000 = 'category G-30000 to under 36000 per year'  
      48000 = 'category H-36000 to under 60000 per year'  
      75000 = 'category J-60000 to under 90000 per year'  
      105000 = 'category K-90000 to under 120000 per year'  
      140000 = 'category L-120000 to under 160000 per year'  
      165000 = 'category M-160000 or more per year'  
      999990 = 'M NAP, other countries'  
      999997 = 'Refused'  
      999998 = 'Dont know'  
      999999 = 'NA' ;
   value IL_RINC
      0 = 'No own income,not in paid work'  
      1000 = '1000'  
      3000 = '3000'  
      5000 = '5000'  
      7000 = '7000'  
      9000 = '9000'  
      13000 = '13000'  
      15500 = '15500'  
      999990 = 'M NAP, other countries'  
      999997 = 'Refused'  
      999998 = 'Dont know'  
      999999 = 'NA' ;
   value JP_RINC
      0 = 'No income, no paid work'  
      500 = 'less than 1.000.000 yen'  
      1500 = '1.000.000 - 1.999.999 yen'  
      2500 = '2.000.000 - 2.999.999 yen'  
      3500 = '3.000.000 - 3.999.999 yen'  
      4500 = '4.000.000 - 4.999.999 yen'  
      5500 = '5.000.000 - 5.999.999 yen'  
      6500 = '6.000.000 - 6.999.999 yen'  
      7500 = '7.000.000 - 7.999.999 yen'  
      8500 = '8.000.000 - 8.999.999 yen'  
      9500 = '9.000.000 - 9.999.999 yen'  
      11000 = '10.000.000 - 11.999.999 yen'  
      13500 = '12.000.000 - 14.999.999 yen'  
      20000 = '15.000.000 yen or more'  
      999990 = 'M NAP, other countries'  
      999997 = 'Refused'  
      999998 = 'Dont know'  
      999999 = 'NA' ;
   value KR_RINC
      0 = 'No own income,not in paid work'  
      250 = 'less than 500,000 won'  
      750 = '500,000-990,000 won'  
      1250 = '1,000,000-1,490,000 won'  
      1750 = '1,500,000-1,990,000 won'  
      2250 = '2,000,000-2,490,000 won'  
      2750 = '2,500,000-2,990,000 won'  
      3250 = '3,000,000-3,490,000 won'  
      3750 = '3,500,000-3,990,000 won'  
      4250 = '4,000,000-4,490,000 won'  
      4750 = '4,500,000-4,990,000 won'  
      5250 = '5,000,000-5,490,000 won'  
      5750 = '5,500,000-5,990,000 won'  
      6250 = '6,000,000-6,490,000 won'  
      6750 = '6,500,000-6,990,000 won'  
      7250 = '7,000,000-7,490,000 won'  
      7750 = '7,500,000-7,990,000 won'  
      8250 = '8,000,000-8,490,000 won'  
      10250 = '10,000,000 won or more'  
      999990 = 'M NAP, other countries'  
      999999 = 'M NA' ;
   value LV_RINC
      0 = 'No income, no paid work'  
      5 = '5'  
      1500 = '1500'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know' ;
   value MX_RINC
      0 = 'No own income,not in paid work'  
      200 = '200'  
      40000 = '40000'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know'  
      999999 = 'M NA' ;
   value NO_RINC
      2 = '2'  
      5000 = '5000'  
      999990 = 'M NAP, other countries'  
      999999 = 'M NA' ;
   value NZ_RINC
      5000 = 'Less than 10,000$'  
      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 = 'More than 100,000$'  
      999990 = 'M NAP, other countries'  
      999999 = 'M NA' ;
   value PH_RINC
      0 = 'No own income,not in paid work'  
      100 = '100'  
      100000 = '100000'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know'  
      999999 = 'M NA' ;
   value PT_RINC
      0 = 'No own income,not in paid work'  
      175 = 'Less than 350 euros'  
      425 = '351-500 euros'  
      650 = '501-800 euros'  
      1150 = '801-1500 euros'  
      2000 = '1501-2500 euros'  
      3000 = 'More than 2500 euros'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know' ;
   value RU_RINC
      0 = 'No own income,not in paid work'  
      500 = '500'  
      60000 = '60000'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know'  
      999999 = 'M NA' ;
   value SE_RINC
      0 = 'No income'  
      1000 = '1.000 SEK/month pre-tax'  
      100000 = '100.000 SEK/month pre-tax'  
      999990 = 'M NAP, other countries'  
      999999 = 'NA' ;
   value SI_RINC
      0 = 'No own income,not in paid work'  
      40000 = '40000'  
      996000 = '996000'  
      999990 = 'M NAP, other countries'  
      999998 = 'M Dont know'  
      999999 = 'M NA' ;
   value TW_RINC
      0 = 'No income'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know' ;
   value US_RINC
      0 = 'No own income,not in paid work'  
      500 = '500'  
      2000 = '2000'  
      3500 = '3500'  
      4500 = '4500'  
      5500 = '5500'  
      6500 = '6500'  
      7500 = '7500'  
      9000 = '9000'  
      11250 = '11250'  
      13750 = '13750'  
      16750 = '16750'  
      18750 = '18750'  
      21750 = '21750'  
      23750 = '23750'  
      27500 = '27500'  
      32500 = '32500'  
      37500 = '37500'  
      45000 = '45000'  
      55000 = '55000'  
      67500 = '67500'  
      82500 = '82500'  
      100000 = '100000'  
      120000 = '120000'  
      140000 = '140000'  
      999990 = 'M NAP, other countries'  
      999996 = '150000 or more'  
      999997 = 'M Refused'  
      999998 = 'M Dont know' ;
   value ZA_RINC
      0 = 'No income'  
      250 = 'R1 - R500'  
      625 = 'R501 - R750'  
      875 = 'R751 - R1 000'  
      1250 = 'R1 001 - R1 500'  
      1750 = 'R1 501 - R2 000'  
      2500 = 'R2 001 - R3 000'  
      4000 = 'R3 001 - R5 000'  
      6250 = 'R5 001 - R7 500'  
      8750 = 'R7 501 - R10 000'  
      12500 = 'R10 001 - R15 000'  
      17500 = 'R15 001 - R20 000'  
      25000 = 'R20 001 - R30 000'  
      35000 = 'R30 000 +'  
      999990 = 'M NAP, other countries'  
      999997 = 'Refuse to answer'  
      999998 = 'Uncertain/Do not know'  
      999999 = 'M NA, refused' ;
   value AU_INC
      0 = 'No income'  
      5200 = '$1 - $10,399 pa'  
      13000 = '$10,400 - $15,599 pa'  
      18200 = '$15,600 - $20,799 pa'  
      23400 = '$20,800 - $25,999 pa'  
      28600 = '$26,000 - $31,199 pa'  
      33800 = '$31,200 - $36,399 pa'  
      39000 = '$36,400 - $41,599 pa'  
      46800 = '$41,600 - $51,999 pa'  
      65000 = '$52,000 - $77,999 pa'  
      91000 = '$78,000 - $103,999 pa'  
      104000 = '$104,000 or more pa'  
      999990 = 'M NAP, other countries'  
      999999 = 'M NA, refused' ;
   value BG_INC
      0 = 'No income'  
      999990 = 'M NAP, other countries' ;
   value CA_INC
      7500 = '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-$84,999'  
      90000 = '$85,000-$94,999'  
      100000 = '$95,000+'  
      999990 = 'M NAP, other countries'  
      999997 = 'Refused'  
      999999 = 'NA' ;
   value CH_INC
      500 = '500'  
      100000 = '100000'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know'  
      999999 = 'M NA' ;
   value CY_INC
      250 = '201-300 CY Pounds'  
      400 = '301-500 CY Pounds'  
      600 = '501-700 CY Pounds'  
      800 = '701-900 CY Pounds'  
      1000 = '901-1100 CY Pounds'  
      1200 = '1101-1300 CY Pounds'  
      1400 = '1301-1500 CY Pounds'  
      1600 = '1501-1700 CY Pounds'  
      1800 = 'More than 1700 CY Pounds'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know' ;
   value CZ_INC
      4000 = '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'  
      999990 = 'M NAP, other countries'  
      999997 = 'Refused'  
      999998 = 'Dont know'  
      999999 = 'NA' ;
   value DE_INC
      0 = 'No income'  
      226 = '226'  
      8000 = '8000'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999999 = 'M NA' ;
   value DK_INC
      50000 = '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'  
      999989 = 'dkr 1 million or more'  
      999990 = 'M NAP, other countries'  
      999999 = 'M NA' ;
   value DO_INC
      2500 = 'Less than RD$5.000'  
      10500 = 'RD$5.000-RD$15.999'  
      21500 = 'RD$16.000-RD$26.999'  
      32500 = 'RD$27.000-RD$37.999'  
      43500 = 'RD$38.000-RD$48.999'  
      54500 = 'RD$49.000-RD$59.999'  
      65000 = 'RD$60.000-RD$69.999'  
      75000 = 'RD$70.000-RD$79.999'  
      85000 = 'RD$80.000-RD$89.999'  
      95000 = 'RD$90,000+'  
      999990 = 'M NAP, other countries' ;
   value ES_INC
      150 = 'Up to 300 euros'  
      375 = '301 - 450 euros'  
      525 = '451 - 600 euros'  
      750 = '601 - 900 euros'  
      1050 = '901 - 1.200 euros'  
      1425 = '1.201 - 1.650 euros'  
      1875 = '1.651 - 2.100 euros'  
      2550 = '2.101 - 3.000 euros'  
      3500 = '3.001 euros and more'  
      999990 = 'M NAP, other countries'  
      999999 = 'No answer' ;
   value FI_INC
      5 = '5'  
      168000 = '168000'  
      999990 = 'M NAP, other countries'  
      999999 = 'M NA' ;
   value FLA_INC
      999990 = 'M NAP, other countries'  
      999998 = 'M DK'  
      999999 = 'M NA' ;
   value FR_INC
      305 = '305 euros'  
      610 = '610 euros'  
      915 = '915 euros'  
      1296 = '1296 euros'  
      1906 = '1906 euros'  
      2668 = '2668 euros'  
      3430 = '3430 euros'  
      4192 = '4192 euros'  
      5335 = '5335 euros'  
      6860 = '6860 euros'  
      9909 = '9909 euros'  
      999990 = 'M NAP, other countries'  
      999999 = 'M NA' ;
   value GB_INC
      2000 = 'Q Less than £3,999'  
      5000 = 'T £4,000 - £5,999'  
      7000 = 'O £6,000-£7,999'  
      9000 = 'K £8,000-£9,999'  
      11000 = 'L £10,000-£11,999'  
      13500 = 'B £12,000-£14,999'  
      16500 = 'Z £15,000-£17,999'  
      19000 = 'M £18,000-£19,999'  
      21500 = 'F £20,000-£22,999'  
      24500 = 'J £23,000-£25,999'  
      27500 = 'D £26,000-£28,999'  
      30500 = 'H £29,000-£31,999'  
      35000 = 'A £32,000-£37,999'  
      41000 = 'W £38,000-£43,999'  
      47000 = 'G £44,000-£49,999'  
      53000 = 'N £50,000-£55,999'  
      59000 = 'E £56,000 or more'  
      999990 = 'M NAP, other countries'  
      999997 = 'Refused'  
      999998 = 'Don´t know' ;
   value HU_INC
      15000 = '15000'  
      800000 = '800000'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know'  
      999999 = 'M NA NAV' ;
   value IE_INC
      5000 = 'category A-under 6000 per year'  
      7750 = 'category B-6000 to under 9500 per year'  
      10750 = 'category C-9500 to under 12000 per year'  
      15000 = 'category D-12000 to under 18000 per year'  
      21000 = 'category E-18000 to under 24000 per year'  
      27000 = 'category F-24000 to under 30000 per year'  
      33000 = 'category G-30000 to under 36000 per year'  
      48000 = 'category H-36000 to under 60000 per year'  
      75000 = 'category J-60000 to under 90000 per year'  
      105000 = 'category K-90000 to under 120000 per year'  
      140000 = 'category L-120000 to under 160000 per year'  
      165000 = 'category M-160000 or more per year'  
      999990 = 'M NAP, other countries'  
      999997 = 'Refused'  
      999998 = 'Dont know'  
      999999 = 'NA' ;
   value IL_INC
      0 = 'No income'  
      2250 = '2250'  
      5000 = '5000'  
      6000 = '6000'  
      7000 = '7000'  
      8000 = '8000'  
      9500 = '9500'  
      12000 = '12000'  
      14500 = '14500'  
      17750 = '17750'  
      22000 = '22000'  
      999990 = 'M NAP, other countries'  
      999997 = 'Refused'  
      999998 = 'Dont know'  
      999999 = 'NA' ;
   value JP_INC
      1000 = 'less than 2.000.000 yen'  
      2500 = '2.000.000 - 2.999.999 yen'  
      3500 = '3.000.000 - 3.999.999 yen'  
      4500 = '4.000.000 - 4.999.999 yen'  
      5500 = '5.000.000 - 5.999.999 yen'  
      6500 = '6.000.000 - 6.999.999 yen'  
      7500 = '7.000.000 - 7.999.999 yen'  
      8500 = '8.000.000 - 8.999.999 yen'  
      9500 = '9.000.000 - 9.999.999 yen'  
      11000 = '10.000.000 - 11.999.999 yen'  
      13500 = '12.000.000 - 14.999.999 yen'  
      20000 = '15.000.000 yen or more'  
      999990 = 'M NAP, other countries'  
      999997 = 'Refused'  
      999998 = 'Dont know'  
      999999 = 'NA' ;
   value KR_INC
      0 = 'No income'  
      250 = 'less than 500,000 won'  
      750 = '500,000-990,000 won'  
      1250 = '1,000,000-1,490,000 won'  
      1750 = '1,500,000-1,990,000 won'  
      2250 = '2,000,000-2,490,000 won'  
      2750 = '2,500,000-2,990,000 won'  
      3250 = '3,000,000-3,490,000 won'  
      3750 = '3,500,000-3,990,000 won'  
      4250 = '4,000,000-4,490,000 won'  
      4750 = '4,500,000-4,990,000 won'  
      5250 = '5,000,000-5,490,000 won'  
      5750 = '5,500,000-5,990,000 won'  
      6250 = '6,000,000-6,490,000 won'  
      6750 = '6,500,000-6,990,000 won'  
      7250 = '7,000,000-7,490,000 won'  
      7750 = '7,500,000-7,990,000 won'  
      8250 = '8,000,000-8,490,000 won'  
      9250 = '9,000,000-9,490,000 won'  
      10250 = '10,000,000 won or more'  
      999990 = 'M NAP, other countries'  
      999999 = 'M NA' ;
   value LV_INC
      21 = '21'  
      1700 = '1700'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know' ;
   value MX_INC
      0 = 'No income'  
      300 = '300'  
      50000 = '50000'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know'  
      999999 = 'M NA' ;
   value NO_INC
      2 = '2'  
      7600 = '7600'  
      999990 = 'M NAP, other countries'  
      999999 = 'M NA' ;
   value NZ_INC
      7500 = 'Less than 15,000$'  
      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 = 'More than 100,000$'  
      999990 = 'M NAP, other countries'  
      999999 = 'M NA' ;
   value PH_INC
      0 = 'No income'  
      200 = '200'  
      150000 = '150000'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know'  
      999999 = 'M NA' ;
   value PT_INC
      175 = 'Less than 350 euros'  
      425 = '351-500 euros'  
      650 = '501-800 euros'  
      1150 = '801-1500 euros'  
      2000 = '1501-2500 euros'  
      3000 = 'More than 2500 euros'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know' ;
   value RU_INC
      500 = '500'  
      60000 = '60000'  
      999990 = 'M NAP, other countries'  
      999998 = 'M Dont know' ;
   value SE_INC
      0 = 'No income'  
      1000 = '1.000 SEK/month pre-tax'  
      204000 = '204.000 SEK/month pre-tax'  
      999990 = 'M NAP, other countries'  
      999999 = 'NA' ;
   value SI_INC
      999990 = 'M NAP, other countries' ;
   value TW_INC
      0 = 'No income'  
      999990 = 'M NAP, other countries'  
      999997 = 'M Refused'  
      999998 = 'M Dont know' ;
   value US_INC
      500 = '500'  
      2000 = '2000'  
      3500 = '3500'  
      4500 = '4500'  
      5500 = '5500'  
      6500 = '6500'  
      7500 = '7500'  
      9000 = '9000'  
      11250 = '11250'  
      13750 = '13750'  
      16750 = '16750'  
      18750 = '18750'  
      21750 = '21750'  
      23750 = '23750'  
      27500 = '27500'  
      32500 = '32500'  
      37500 = '37500'  
      45000 = '45000'  
      55000 = '55000'  
      67500 = '67500'  
      82500 = '82500'  
      100000 = '100000'  
      120000 = '120000'  
      140000 = '140000'  
      999990 = 'M NAP, other countries'  
      999996 = '150000 or more'  
      999997 = 'Refused'  
      999998 = 'Dont know' ;
   value ZA_INC
      0 = 'No income'  
      250 = 'R1 - R500'  
      625 = 'R501 - R750'  
      875 = 'R751 - R1 000'  
      1250 = 'R1 001 - R1 500'  
      1750 = 'R1 501 - R2 000'  
      2500 = 'R2 001 - R3 000'  
      4000 = 'R3 001 - R5 000'  
      6250 = 'R5 001 - R7 500'  
      8750 = 'R7 501 - R10 000'  
      12500 = 'R10 001 - R15 000'  
      17500 = 'R15 001 - R20 000'  
      25000 = 'R20 001 - R30 000'  
      35000 = 'R30 000 +'  
      999990 = 'M NAP, other countries'  
      999997 = 'Refuse to answer'  
      999998 = 'Uncertain/Do not know'  
      999999 = 'M NA, refused' ;
   value HOMPOP
      1 = '1'  
      8 = '8, SE: 8 persons or more'  
      9 = '9, FR: 9 persons or more'  
      13 = '13 (DK: 13 persons or more)'  
      24 = '24'  
      96 = 'TW:more than 96 persons'  
      99 = 'M NA, refused' ;
   value HHCYCLE
      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 = 'M NA,refused' ;
   value PARTY_LR
      0 = 'M 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 = 'M Dont know'  
      9 = 'M No answer,refused' ;
   value AU_PRTY
      0 = 'M Not available'  
      1 = 'Liberal Party'  
      2 = 'Labor Party'  
      3 = 'National Party'  
      4 = 'Democrats'  
      5 = 'Greens'  
      6 = 'One Nation'  
      7 = 'Family First'  
      95 = 'Other party'  
      96 = 'No party'  
      99 = 'M NA, refused' ;
   value BG_PRTY
      0 = 'NAP, do not vote; NAV'  
      1 = 'Sajuz Bulgaria'  
      2 = 'Napred Bulgaria'  
      3 = 'Coalicia za Bulgaria - BSP,PBS,PD'  
      6 = 'NDSV Simeon II'  
      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 pensionerite'  
      17 = 'DPS'  
      18 = 'Bulgarska Hrisianska Coalicia'  
      19 = 'ODS'  
      21 = 'PSD'  
      99 = 'No answer, refused' ;
   value CA_PRTY
      0 = 'M Not available'  
      1 = 'Conservative'  
      2 = 'Liberal'  
      3 = 'New Democrat'  
      4 = 'Bloc Quebecois'  
      95 = 'Other party'  
      96 = 'Would not vote; no party preference'  
      97 = 'Refused'  
      99 = 'no answer, refused' ;
   value CH_PRTY
      0 = 'M Not available'  
      1 = 'Christian Democratic Party'  
      2 = 'Evangelical Peoples Party'  
      3 = 'Radical Party'  
      4 = 'Social Democratic Party'  
      5 = 'Swiss Peoples Party'  
      7 = 'Liberal Party'  
      8 = 'Labour Party'  
      9 = 'Swiss Democrats'  
      10 = 'Green Party'  
      11 = 'Freedom Party'  
      95 = 'Other Party'  
      96 = 'No party preference'  
      98 = 'M Not interested so much in politics'  
      99 = 'M NA' ;
   value CY_PRTY
      0 = 'M NAP; not available'  
      1 = 'Progressive Labour Party, AKEL'  
      2 = 'Socialist Party, EDEK'  
      3 = 'Ecologists'  
      4 = 'Free Democrats, KED'  
      5 = 'Democratic Party, DHKO'  
      6 = 'Democratic Renewal Party, ADHK'  
      7 = 'European Party, EYROKO'  
      8 = 'European Democracy, EYRODH'  
      9 = 'Democratic Alert, DHSY'  
      96 = 'None'  
      97 = 'M Refused'  
      98 = 'M Dont know' ;
   value CZ_PRTY
      0 = 'M NAP; not available'  
      1 = 'CSSD Social Democrats'  
      2 = 'ODA Civil Democratic Alliance'  
      3 = 'Nadeje Hope'  
      4 = 'RMS Republicans of Miroslav Sladek'  
      5 = 'CSNS National Social Party'  
      7 = 'Association of Independents'  
      8 = 'ODS Civic Democratic'  
      9 = 'KSCM Communist Party'  
      10 = 'KDU CSL Christian Party'  
      12 = 'SZJ Party of Life Securities'  
      14 = 'SZ Party of Greens'  
      95 = 'Other Party'  
      96 = 'Would not vote'  
      98 = 'M Dont know' ;
   value DE_PRTY
      0 = 'M NAP; not availble'  
      1 = 'CDU/ CSU'  
      2 = 'SPD'  
      3 = 'FDP'  
      4 = 'Buendnis 90/Gruene'  
      5 = 'NPD'  
      6 = 'DKP'  
      7 = 'Republikaner'  
      8 = 'PDS/Linke Liste'  
      95 = 'Other Party'  
      96 = 'Would not vote;not eligible'  
      97 = 'M Refused'  
      98 = 'M Dont know'  
      99 = 'M NA' ;
   value DK_PRTY
      0 = 'M NAP, did not vote'  
      1 = 'Social Democratic Party'  
      2 = 'Radical Liberal party'  
      3 = 'Conservative Peoples Party'  
      4 = 'Centre Democratic party'  
      5 = 'Socialist Peoples Party'  
      6 = 'Minority Party'  
      7 = 'Danish Peoples Party'  
      8 = 'Christian Peoples Party'  
      9 = 'Liberal party'  
      10 = 'Progressive party'  
      11 = 'Leftwing Alliance'  
      93 = 'Other responses'  
      95 = 'Other Party'  
      96 = 'No preference'  
      98 = 'M Dont know'  
      99 = 'M NA' ;
   value DO_PRTY
      0 = 'M Not available'  
      1 = 'Revolutionary Dominican Party (PRD)'  
      2 = 'Dominican Liberation Party (PLD)'  
      3 = 'Christian Socialist Reformist Party (PRSC)'  
      95 = 'Other'  
      96 = 'No party affiliation'  
      99 = 'M NA' ;
   value ES_PRTY
      0 = 'M Not available'  
      1 = 'Popular Party (Partido Popular - PP)'  
      2 = 'Socialist Party (Partido Socialista Obrero Español - PSOE)'  
      3 = 'Communist Party (Izquierda Unida - IU)'  
      4 = 'Regional Party of Center (Part Nac de Centro y Derecha)'  
      5 = 'Regional Party of Left (Partidos Nacionalistas de Izquierda)'  
      6 = 'Ecologist Party (Ecologistas - Verdes)'  
      8 = 'Blank vote'  
      95 = 'Other party'  
      96 = 'Would not vote; no party preference'  
      98 = 'M Don´t Know'  
      99 = 'M NA' ;
   value FI_PRTY
      0 = 'M NAP, NAV'  
      1 = 'Social Democr Party'  
      2 = 'Centre Party of FIN'  
      3 = 'Nat Coalition Party'  
      4 = 'Left Alliance'  
      5 = 'Swedish Peoples Prty'  
      6 = 'Green League'  
      7 = 'Christian League'  
      8 = 'True Finns'  
      95 = 'Other Party'  
      96 = 'Would not vote,no preference'  
      97 = 'M Refused'  
      98 = 'M DK, hard to say'  
      99 = 'M NA' ;
   value FLA_PRTY
      0 = 'M Not available' ;
   value FR_PRTY
      0 = 'M NAP; not available'  
      1 = 'Communist party'  
      2 = 'Far left'  
      3 = 'Socialist party'  
      4 = 'Green'  
      5 = 'UDF-Liberal'  
      6 = 'RPR-Conservative'  
      7 = 'National Front'  
      95 = 'Other Party'  
      99 = 'M NA' ;
   value GB_PRTY
      0 = 'M NAV'  
      1 = 'Conservative'  
      2 = 'Labour'  
      3 = 'Liberal Democrats,SLD'  
      6 = 'SNP (Scot National)'  
      7 = 'Plaid Cymru'  
      8 = 'Green party'  
      93 = 'Other answer'  
      95 = 'Other Party'  
      96 = 'Would not vote;No party preference'  
      98 = 'M Dont know'  
      99 = 'M NA' ;
   value HU_PRTY
      0 = 'M Not available'  
      1 = 'HDF-Hungarian Democratic Forum'  
      2 = 'FFD-Free Democrats'  
      3 = 'ISHP-Independent Small Holders'  
      4 = 'HSP-Hungarian Socialist Party'  
      5 = 'FYD-Federation of Young Democrats'  
      7 = 'HSPW-Socialist workers'  
      8 = 'HTJP-Hungarian Truth'  
      95 = 'Other Party'  
      96 = 'Would not vote;no party preference'  
      97 = 'M Refused'  
      99 = 'M NA' ;
   value IE_PRTY
      0 = 'M Not available'  
      1 = 'Fianna Fail'  
      2 = 'Fine Gael'  
      3 = 'Labour'  
      4 = 'Workers Party'  
      5 = 'Progressive Democrats'  
      6 = 'Green Party'  
      7 = 'Sinn Fein'  
      95 = 'Other Party'  
      96 = 'No party preference'  
      99 = 'M NA' ;
   value IL_PRTY
      0 = 'M Not available'  
      1 = 'Israel one'  
      2 = 'Likud'  
      3 = 'Shase'  
      4 = 'Meretz'  
      5 = 'Mafdal'  
      6 = 'Yahadut-hatora'  
      7 = 'Am ehad'  
      8 = 'Shinuy'  
      9 = 'Haehud haleumi'  
      10 = 'The central party'  
      11 = 'Israel Bealiya'  
      12 = 'Israel Beteno'  
      14 = 'Pnina Rosenblum'  
      16 = 'Gimlaim'  
      21 = 'Haadash'  
      22 = 'Balad'  
      23 = 'Hatnua Haaravit leshinuy'  
      24 = 'Hatnua Haaravit hame'  
      26 = 'ale yarok'  
      97 = 'Refused'  
      98 = 'Cant choose'  
      99 = 'NA' ;
   value JP_PRTY
      0 = 'M Not available'  
      1 = 'Liberal Democr Party'  
      2 = 'The Democratic Party of Japan'  
      4 = 'New Komeito'  
      5 = 'The Japanese Communist Party'  
      6 = 'Social Democratic Party of Japan'  
      96 = 'No party preference'  
      99 = 'NA' ;
   value KR_PRTY
      0 = 'M Not available'  
      1 = 'United Liberal Democrats'  
      2 = 'Grand National Party'  
      3 = 'Millennium Democratic Party'  
      4 = 'The Uri Party'  
      5 = 'Democratic Labor Party'  
      95 = 'Other Parties'  
      96 = 'No party affiliation'  
      98 = 'M DK' ;
   value LV_PRTY
      0 = 'M Not available'  
      1 = 'Alliance' ;
   value MX_PRTY
      0 = 'M Not available'  
      1 = 'PAN'  
      2 = 'PRI'  
      3 = 'PRD'  
      4 = 'PT'  
      5 = 'PVEM'  
      8 = 'PANAL'  
      95 = 'Other Party'  
      96 = 'No party preference'  
      98 = 'M Cant choose'  
      99 = 'M NA' ;
   value NO_PRTY
      0 = 'M Not available'  
      1 = 'Red Electoral Allian'  
      2 = 'Labour Party'  
      3 = 'Progress Party'  
      4 = 'Conservative Party'  
      5 = 'Christ Democr Party'  
      6 = 'Centre party'  
      7 = 'Socialist Left'  
      8 = 'Liberal'  
      95 = 'Other Party'  
      96 = 'No party preference;wouldnt vote'  
      98 = 'M Dont know'  
      99 = 'M NA' ;
   value NZ_PRTY
      0 = 'M Not available'  
      1 = 'Act'  
      2 = 'Alliance'  
      3 = 'Green'  
      4 = 'Labour'  
      5 = 'National'  
      6 = 'NZ First'  
      7 = 'Progressive Coalition'  
      8 = 'United Future'  
      9 = 'Maori Party'  
      95 = 'Other'  
      96 = 'Didnt vote/not eligible'  
      98 = 'Dont know/Cant remember' ;
   value PH_PRTY
      0 = 'M NAV'  
      1 = 'LAKAS-NUCD-UMDP'  
      2 = 'LDP (LABAN NG DEMOKRATIKONG PILIPINO)'  
      3 = 'NPC (NATIONALIST PEOPLES COALITION)'  
      5 = 'LP (LIBERAL PARTY)'  
      6 = 'NP (NACIONALISTA PARTY)'  
      7 = 'PDP-LABAN (PHILIPPINE DEMOCRATIC PARTY-LAKAS NG BAYAN)'  
      8 = 'PDSP (PARTIDO DEMOKRATIKO SOSYALISTA NG PILIPINAS)'  
      10 = 'PMP (PARTIDO NG MASANG PILIPINO)'  
      11 = 'NATURAL LAW PARTY'  
      15 = 'KAMPI'  
      17 = 'K4 Block Party'  
      18 = 'KNP Block Party'  
      19 = 'Abanse Pinay'  
      21 = 'Bayan Muna'  
      23 = 'APEC - Association Of Philippine Electric Cooperatives'  
      24 = 'Aksyon Demokratiko'  
      25 = 'Alab Katipunan'  
      27 = 'COOP-NATCCO (Cooperative Natcco Network Party)'  
      28 = 'Bangon Pilipinas'  
      29 = 'Anak Pawis'  
      35 = 'VFP (Veterans Freedom Party)'  
      39 = 'BUHAY - Buhay Hayaan Yumabong'  
      40 = 'PM - Partido ng Manggagawa'  
      41 = 'An Waray'  
      42 = 'TUCP - Trade Union Congress Party'  
      95 = 'Other party'  
      96 = 'None/No party preference'  
      98 = 'M Dont know'  
      99 = 'M NA/Refused' ;
   value PT_PRTY
      0 = 'M Not available'  
      1 = '(Bloco de Esquerda) B.E.'  
      2 = '(Centro Democratico Social/ Partido Popular) CDS-PP'  
      3 = '(CDU - Coligacao Democratica Unitaria) PCP-PEV'  
      4 = '(Partido Comunista dos Trabalhadores Portugueses - Movim'  
      5 = '(Partido Democratico do Atlantico) PDA'  
      6 = '(Partido Humanista) PH'  
      8 = '(Partido Nacional Renovador) PNR'  
      10 = '(Partido Social Democrata) PPD-PSD'  
      11 = '(Partido Socialista) PS'  
      95 = 'Other'  
      96 = 'No party preference'  
      98 = 'M Dont know'  
      99 = 'M NA' ;
   value RU_PRTY
      0 = 'M NAV'  
      1 = 'Agrarian Party'  
      2 = 'Motherland'  
      3 = 'Yabloko'  
      4 = 'United Russia'  
      5 = 'LDPR'  
      6 = 'KPRF'  
      7 = 'Union of right forces'  
      95 = 'Other Party'  
      96 = 'Would not vote;no party preference'  
      99 = 'M NA' ;
   value SE_PRTY
      0 = 'M NAV'  
      1 = 'C (Centre Party)'  
      2 = 'FP (Liberals)'  
      3 = 'KD (Christ Democr)'  
      4 = 'MP (Ecologists)'  
      5 = 'M (Liberal Conserv)'  
      6 = 'S (Social Democ)'  
      7 = 'V (Socialists)'  
      95 = 'Other Party'  
      99 = 'NA' ;
   value SI_PRTY
      0 = 'M NAP; not available'  
      1 = 'DESUS-Democratic ret'  
      2 = 'LDS-Liberal Democrat'  
      3 = 'SLS-Peoples party'  
      4 = 'SNS-Slovenian Nation'  
      5 = 'SDS-Social Democratic'  
      6 = 'NSI-New Slovenia'  
      7 = 'ZLSD-Combined list'  
      95 = 'Other Party'  
      96 = 'Would not vote;no party preference'  
      98 = 'M Dont know'  
      99 = 'M No answer' ;
   value TW_PRTY
      0 = 'M Not available'  
      1 = 'KMT Kuo Min Tang'  
      2 = 'DPP Democratic Progressive Party'  
      3 = 'PFP People First Party'  
      4 = 'Taiwan Indenpendent Party'  
      6 = 'New Party'  
      7 = 'None'  
      95 = 'Other Party'  
      96 = 'Dont support any party'  
      97 = 'M Refused' ;
   value US_PRTY
      0 = 'M Not available'  
      1 = 'Strong democrat'  
      2 = 'Not very strg democrat'  
      3 = 'Indep,close democr'  
      4 = 'Independent'  
      5 = 'Indep,close republ'  
      6 = 'Not very strg republ'  
      7 = 'Strong republican'  
      95 = 'Other Party'  
      96 = 'Would not vote;no party preference'  
      97 = 'M Refused'  
      98 = 'M Dont know'  
      99 = 'M No answer' ;
   value ZA_PRTY
      0 = 'M Not available'  
      1 = 'African Christian Democratic Party (ACDP)'  
      2 = 'African National Congress (ANC)'  
      3 = 'Azanian Peoples Organisation (AZAPO)'  
      4 = 'Democratic Party / Alliance (DP/DA)'  
      5 = 'Freedom Front Plus/ Vryheidsfront Plus (FF+/VF+)'  
      6 = 'Independent Democrats (ID)'  
      7 = 'Inkatha Freedom Party (IFP)'  
      8 = 'Minority Front (MF)'  
      9 = 'New National Party (NNP)'  
      10 = 'Pan-Africanist Congress (PAC)'  
      11 = 'United Christian Democratic Party (UCDP)'  
      12 = 'United Democratic Movement (UDM)'  
      15 = 'Uncertain'  
      95 = 'Other'  
      96 = 'Will not vote'  
      97 = 'Refuse to answer'  
      98 = 'Do not know'  
      99 = 'M No answer' ;
   value VOTE_LE
      0 = 'M NAV'  
      1 = 'Yes'  
      2 = 'No'  
      7 = 'M Refused'  
      8 = 'M Cant choose'  
      9 = 'M No answer' ;
   value RELIG
      0 = 'No religion'  
      100 = 'Roman Catholic'  
      110 = 'Greek Catholic'  
      200 = 'Protestant'  
      210 = 'Anglican,Ch Engl,Episcopal'  
      220 = 'Baptists'  
      230 = 'Congregationalists'  
      240 = 'European Free Church (Anabaptists)'  
      250 = 'Lutheran, evangelical church'  
      260 = 'Methodist'  
      270 = 'Pentecostal'  
      275 = 'ZA: Nazareth Baptist Church'  
      276 = 'ZA: Zion Christian Church'  
      280 = 'Presbyterian,Ch of Scot'  
      281 = 'GB:Free Presbytarian'  
      282 = 'Jehovas Witnesses'  
      283 = 'Church of Christ'  
      284 = 'New Apostolic, St Johns Apostolic'  
      287 = 'ZA: Universal Church of God'  
      290 = 'Other Protestants (no spec. denom.)'  
      291 = 'Brethren'  
      292 = 'Mormon'  
      293 = 'Salvation Army'  
      294 = 'Assemblies of God'  
      295 = 'Seventh Day Adventists'  
      296 = 'CZ: Czechoslovak Hussites'  
      297 = 'Unitarians,AU:Uniting church'  
      298 = 'United Church of Canada'  
      299 = 'United Church of Christ'  
      300 = 'Orthodox; Eastern Orthodox'  
      310 = 'Greek Orthodox'  
      320 = 'Russian Orthodox'  
      325 = 'LV: Old Believers'  
      390 = 'Orthodox (no spec. mentioned)'  
      400 = 'Other Christian Groups'  
      401 = 'PH:Aglipayan'  
      402 = 'Born Again'  
      403 = 'Alliance'  
      404 = 'Dating Daan'  
      405 = 'Jesus Miracle Crusad'  
      406 = 'Jesus is Lord'  
      407 = 'Christians'  
      408 = 'Espiritista'  
      409 = 'Iglesia ni Christo'  
      410 = 'Phil Independent Church'  
      411 = 'Iglesia Filipina Ind'  
      412 = 'Sayon'  
      413 = 'Bible Christian'  
      490 = 'Unspecified Christian Groups'  
      500 = 'Jewish'  
      510 = 'Orthodox Jewish'  
      520 = 'Conservative Jewish'  
      530 = 'Reformist Jewish'  
      590 = 'Jewish Religion general'  
      600 = 'Islam'  
      610 = 'Kharijism'  
      620 = 'Mutazilism'  
      630 = 'Sunni'  
      640 = 'Shiism'  
      650 = 'Ismailis'  
      660 = 'Other Muslim Religions'  
      670 = 'Druse'  
      690 = 'Muslim,Mohammedan,Islam'  
      700 = 'Buddhists'  
      701 = 'Specific Buddhist Groups'  
      790 = 'Buddhism general'  
      800 = 'Hinduism'  
      810 = 'Specific Groups'  
      820 = 'Sikhism'  
      890 = 'Hinduism general'  
      900 = 'Other Asian Religion'  
      901 = 'Shintoism'  
      902 = 'Taoism'  
      903 = 'Confucianism'  
      950 = 'Other East Asian Religion'  
      960 = 'Other Religions'  
      961 = 'NZ:Ratana/Ringatu'  
      962 = 'US:Native American'  
      963 = 'Afro Brazilian religion'  
      968 = 'ES:Evangelist'  
      969 = 'ES:Evangelical Christian'  
      998 = 'M Dont know'  
      999 = 'M No answer' ;
   value RELIGGRP
      1 = 'No religion'  
      2 = 'Roman Catholic'  
      3 = 'Protestant'  
      4 = 'Christian Orthodox'  
      5 = 'Jewish'  
      6 = 'Islam'  
      7 = 'Buddhism'  
      8 = 'Hinduism'  
      9 = 'Other Christian Religions'  
      10 = 'Other Eastern Religions'  
      11 = 'Other Religions'  
      98 = 'M Dont know'  
      99 = 'M No answer' ;
   value ATTEND
      0 = 'PT: NAP'  
      1 = 'Several times a week'  
      2 = 'Once a week'  
      3 = '2 or 3 times a month'  
      4 = 'Once a month'  
      5 = 'Sev times a year'  
      6 = 'Once a year'  
      7 = 'Less frequently'  
      8 = 'Never'  
      97 = 'M Refused'  
      98 = 'M DK, varies too much'  
      99 = 'M No answer' ;
   value TOPBOT
      0 = 'Not available'  
      1 = 'Lowest, 01'  
      2 = '02'  
      3 = '03'  
      4 = '04'  
      5 = '05'  
      6 = '06'  
      7 = '07'  
      8 = '08'  
      9 = '09'  
      10 = 'Highest, 10'  
      97 = 'Refused'  
      98 = 'Cant choose'  
      99 = 'No answer' ;
   value AU_REG
      0 = 'M Not available'  
      1 = 'New South Wales'  
      2 = 'Victoria'  
      3 = 'Queensland'  
      4 = 'South Australia'  
      5 = 'Western Australia'  
      6 = 'Tasmania'  
      7 = 'Australian Capital Territory'  
      8 = 'Northern Territory'  
      99 = 'M NA, refused' ;
   value BG_REG
      0 = 'M Not available'  
      1 = 'Blagoevgrad'  
      2 = 'Bourgas'  
      3 = 'Varna'  
      4 = 'Veliko Tarnovo'  
      5 = 'Vidin'  
      6 = 'Vratza'  
      7 = 'Gabrovo'  
      8 = 'Dobritch'  
      9 = 'Kardzali'  
      10 = 'Kustnedil'  
      11 = 'Lovetch'  
      12 = 'Montana'  
      13 = 'Pazardzik'  
      14 = 'Pernik'  
      15 = 'Pleven'  
      16 = 'Plovdiv'  
      17 = 'Razgrad'  
      18 = 'Rousse'  
      19 = 'Silistra'  
      20 = 'Sliven'  
      21 = 'Smolian'  
      22 = 'Sofia city'  
      23 = 'Sofia region'  
      24 = 'Stara Zagora'  
      25 = 'Targovishte'  
      26 = 'Haskovo'  
      27 = 'Shoumen'  
      28 = 'Yambol' ;
   value CA_REG
      0 = 'M Not available'  
      1 = 'Newfoundland'  
      2 = 'Nova Scotia'  
      3 = 'Prince Edward Island'  
      4 = 'New Brunswick'  
      5 = 'Quebec'  
      6 = 'Ontario'  
      7 = 'Manitoba'  
      8 = 'Saskatchewan'  
      9 = 'Alberta'  
      10 = 'British Colombia'  
      99 = 'M NA' ;
   value CH_REG
      0 = 'M Not available'  
      1 = 'Zuerich'  
      2 = 'Bern'  
      3 = 'Luzern'  
      4 = 'Uri'  
      6 = 'Obwalden'  
      7 = 'Nidwalden'  
      9 = 'Zug'  
      10 = 'Fribourg'  
      11 = 'Solothurn'  
      12 = 'Baselstadt'  
      13 = 'Baselland'  
      14 = 'Schaffhausen'  
      15 = 'Appenzell AR'  
      17 = 'St. Gallen'  
      18 = 'Graubuenden'  
      19 = 'Aargau'  
      20 = 'Thurgau'  
      21 = 'Ticino'  
      22 = 'Vaud'  
      23 = 'Wallis'  
      24 = 'Neuchatel'  
      25 = 'Geneve'  
      26 = 'Jura' ;
   value CY_REG
      0 = 'M Not available'  
      1 = 'Nicosia'  
      2 = 'Larnaka, Famagusta'  
      3 = 'Limassol'  
      4 = 'Paphos' ;
   value CZ_REG
      0 = 'M Not available'  
      1 = 'Prague'  
      2 = 'Central Bohemia'  
      3 = 'South Bohemia'  
      4 = 'Pilsen'  
      5 = 'Carlsbad'  
      6 = 'Ustin/L'  
      7 = 'Liberec'  
      8 = 'Hradec Kralove'  
      9 = 'Pardubice'  
      10 = 'Vysocina'  
      11 = 'South Moravia'  
      12 = 'Olomouc'  
      13 = 'Zlin'  
      14 = 'Moravia-Silesia' ;
   value DE_REG
      0 = 'M Not available'  
      1 = 'Schleswig-Holstein'  
      2 = 'Hamburg'  
      3 = 'Niedersachsen'  
      4 = 'Bremen'  
      5 = 'Nordrhein-Westfalen'  
      6 = 'Hessen'  
      7 = 'Rheinland-Pfalz'  
      8 = 'Baden-Wuerttemberg'  
      9 = 'Bayern'  
      10 = 'Saarland'  
      11 = 'Berlin-Ost'  
      12 = 'Mecklbg-Vorpommern'  
      13 = 'Brandenburg'  
      14 = 'Sachsen-Anhalt'  
      15 = 'Thueringen'  
      16 = 'Sachsen'  
      17 = 'Berlin-West' ;
   value DK_REG
      0 = 'M Not available'  
      1 = 'Copenhagen county'  
      2 = 'Frederiksborg county'  
      3 = 'Roskilde county'  
      4 = 'Westernzealand county'  
      5 = 'Storstroms county'  
      6 = 'Bornholms county'  
      7 = 'Funen county'  
      8 = 'Southern Jutland'  
      9 = 'Ribe county'  
      10 = 'Vejle county'  
      11 = 'Ringkobing county'  
      12 = 'Arhus county'  
      13 = 'Viborg county'  
      14 = 'Northern Jutland'  
      15 = 'Copenhagen municipality'  
      16 = 'Frederiksberg municipality' ;
   value DO_REG
      0 = 'M Not available'  
      1 = 'South'  
      2 = 'North'  
      3 = 'Central'  
      4 = 'East' ;
   value ES_REG
      0 = 'M Not available'  
      1 = 'Andalucía'  
      2 = 'Aragón'  
      3 = 'Asturias'  
      4 = 'Baleares'  
      5 = 'Cataluña'  
      6 = 'Canarias'  
      7 = 'Cantabria'  
      8 = 'Castilla-León'  
      9 = 'Castilla-La Mancha'  
      10 = 'Extremadura'  
      11 = 'Galicia'  
      12 = 'La Rioja'  
      13 = 'Madrid'  
      14 = 'Murcia'  
      15 = 'Navarra'  
      16 = 'País Vasco'  
      17 = 'Comunidad Valenciana' ;
   value FI_REG
      0 = 'M Not available'  
      1 = 'Uusimaa'  
      2 = 'Varsinais-Suomi'  
      4 = 'Satakunta'  
      5 = 'Kanta-Häme'  
      6 = 'Pirkanmaa'  
      7 = 'Päijät-Häme'  
      8 = 'Kymenlaakso'  
      9 = 'South Karelia'  
      10 = 'Etelä-Savo'  
      11 = 'Pohjois-Savo'  
      12 = 'North Karelia'  
      13 = 'Central Finland'  
      14 = 'South Ostrobothnia'  
      15 = 'Ostrobothnia'  
      16 = 'Central Ostrobothnia'  
      17 = 'North Ostrobothnia'  
      18 = 'Kainuu'  
      19 = 'Lapland'  
      20 = 'Itä-Uusimaa'  
      21 = 'Åland'  
      99 = 'Not known' ;
   value FLA_REG
      0 = 'M Not available'  
      1 = 'Antwerp'  
      2 = 'Flemish Brabant'  
      3 = 'West Flanders'  
      4 = 'East Flanders'  
      5 = 'Limburg'  
      6 = 'Brussels' ;
   value FR_REG
      0 = 'M Not available'  
      1 = 'Ain'  
      2 = 'Aisne'  
      3 = 'Allier'  
      4 = 'Alpes-Hte-Provence'  
      5 = 'Hautes-Alpes'  
      6 = 'Alpes-Maritimes'  
      7 = 'Ardeche'  
      8 = 'Ardennes'  
      9 = 'Ariege'  
      10 = 'Aube'  
      11 = 'Aude'  
      12 = 'Aveyron'  
      13 = 'Bouche-du-Rhone'  
      14 = 'Calvados'  
      15 = 'Cantal'  
      16 = 'Charente'  
      17 = 'Charente-Maritime'  
      18 = 'Cher'  
      19 = 'Correze'  
      20 = 'Corse'  
      21 = 'Cote-d Or'  
      22 = 'Cotes-d Armor'  
      23 = 'Creuse'  
      24 = 'Dordogne'  
      25 = 'Doubs'  
      26 = 'Drome'  
      27 = 'Eure'  
      28 = 'Eure-et-Loir'  
      29 = 'Finistere'  
      30 = 'Gard'  
      31 = 'Haute-Garonne'  
      32 = 'Gers'  
      33 = 'Gironde'  
      34 = 'Herault'  
      35 = 'Ille-et-Vilaine'  
      36 = 'Indre'  
      37 = 'Indre-et-Loire'  
      38 = 'Isere'  
      39 = 'Jura'  
      40 = 'Landes'  
      41 = 'Loir-et-Cher'  
      42 = 'Loire'  
      43 = 'Haute-Loire'  
      44 = 'Loire-Atlantique'  
      45 = 'Loiret'  
      46 = 'Lot'  
      47 = 'Lot-et-Garonne'  
      48 = 'Lozere'  
      49 = 'Maine-et-Loire'  
      50 = 'Manche'  
      51 = 'Marne'  
      52 = 'Haute-Marne'  
      53 = 'Mayenne'  
      54 = 'Meurthe-et-Moselle'  
      55 = 'Meuse'  
      56 = 'Morbihan'  
      57 = 'Moselle'  
      58 = 'Nievre'  
      59 = 'Nord'  
      60 = 'Oise'  
      61 = 'Orne'  
      62 = 'Pas-de-Calais'  
      63 = 'Puy-de-Dome'  
      64 = 'Pyrenees-Atlantiques'  
      65 = 'Hautes-Pyrenees'  
      66 = 'Pyrenees-Orientales'  
      67 = 'Bas-Rhin'  
      68 = 'Haut-Rhin'  
      69 = 'Rhone'  
      70 = 'Haute-Saone'  
      71 = 'Saone-et-Loire'  
      72 = 'Sarthe'  
      73 = 'Savoie'  
      74 = 'Haute-Savoie'  
      75 = 'Ville de Paris'  
      76 = 'Seine-Maritime'  
      77 = 'Seine-et-Marne'  
      78 = 'Yvelines'  
      79 = 'Deux-Sevres'  
      80 = 'Somme'  
      81 = 'Tarn'  
      82 = 'Tarn-et-Garonne'  
      83 = 'Var'  
      84 = 'Vaucluse'  
      85 = 'Vendee'  
      86 = 'Vienne'  
      87 = 'Haute-Vienne'  
      88 = 'Vosges'  
      89 = 'Yonne'  
      90 = 'Belfort (Territoire)'  
      91 = 'Essone'  
      92 = 'Hauts-de-Seine'  
      93 = 'Seine-Saint-Denis'  
      94 = 'Val-de-Marne'  
      95 = 'Val-d Oise'  
      99 = 'M NA' ;
   value GB_REG
      0 = 'M Not available'  
      1 = 'Scotland'  
      2 = 'North,North West,Yorkshire Hbs'  
      3 = 'West, East Midlands'  
      4 = 'Wales'  
      5 = 'East Anglia,South West,S-E'  
      6 = 'London' ;
   value HU_REG
      0 = 'M Not available'  
      1 = 'Budapest'  
      2 = 'Baranya'  
      3 = 'Bacs-Kiskun'  
      4 = 'Bekes'  
      5 = 'Borsod-Abauj'  
      6 = 'Csongrad'  
      7 = 'Fejer'  
      8 = 'Gyor-Sopron'  
      9 = 'Hajdu-Bihar'  
      11 = 'Komarom'  
      12 = 'Nograd'  
      13 = 'Pest'  
      14 = 'Somogy'  
      15 = 'Szabolcs-Szatmar'  
      16 = 'Szolnok'  
      18 = 'Vas'  
      19 = 'Veszprem'  
      20 = 'Zala' ;
   value IE_REG
      0 = 'M Not Available'  
      1 = 'Border'  
      2 = 'Dublin'  
      3 = 'Mid-East'  
      4 = 'Midland'  
      5 = 'Mid-West'  
      6 = 'South-East'  
      7 = 'South-West'  
      8 = 'West' ;
   value IL_REG
      0 = 'M Not available'  
      1 = 'North'  
      2 = 'South'  
      3 = 'Tel-Aviv'  
      4 = 'Jerusalem'  
      5 = 'Arab sector' ;
   value JP_REG
      0 = 'M Not available'  
      1 = 'Hokkaido'  
      2 = 'Tohoku'  
      3 = 'Kanto'  
      4 = 'Koshin-etsu'  
      5 = 'Tokai,Hokuriku'  
      6 = 'Kinki'  
      7 = 'Chugoku'  
      8 = 'Shikoku'  
      9 = 'Kyushu' ;
   value KR_REG
      0 = 'M NAV'  
      1 = 'Seoul Metropolitan City'  
      2 = 'Incheon Metropolitan city'  
      3 = 'Daejeon Metropolitan city'  
      4 = 'Busan Metropolitan city'  
      5 = 'Ulsan Metropolitan City'  
      6 = 'Deagu Metropolitan City'  
      7 = 'Gwangju Metropolitan city'  
      8 = 'Gyeonggi Province'  
      9 = 'Gangwon Province'  
      10 = 'Chungcheong Province'  
      11 = 'Gyeongsang Province'  
      12 = 'Jeolla Province'  
      13 = 'Jeju-do' ;
   value LV_REG
      0 = 'M Not available'  
      1 = 'Riga'  
      2 = 'Vidzeme'  
      3 = 'Kurzeme'  
      4 = 'Zemgale'  
      5 = 'Latgale' ;
   value MX_REG
      0 = 'M Not available'  
      1 = 'Aguascalientes'  
      2 = 'Baja California'  
      3 = 'Baja California Sur'  
      4 = 'Coahuila'  
      5 = 'Chiapas'  
      6 = 'Chihuahua'  
      7 = 'Distrito Federal'  
      8 = 'Durango'  
      9 = 'Guanajuato'  
      10 = 'Guerrero'  
      11 = 'Jalisco'  
      12 = 'México City'  
      13 = 'Michoacán'  
      14 = 'Nuevo León'  
      15 = 'Oaxaca'  
      16 = 'Puebla'  
      17 = 'Querétaro'  
      18 = 'San Luis Potosí'  
      19 = 'Sinaloa'  
      20 = 'Sonora'  
      21 = 'Tamaulipas'  
      22 = 'Tlaxcala'  
      23 = 'Veracruz'  
      24 = 'Yucatán'  
      25 = 'Zacatecas' ;
   value NO_REG
      0 = 'M Not available'  
      1 = 'Central East'  
      2 = 'East'  
      3 = 'South'  
      4 = 'West'  
      5 = 'Middle'  
      6 = 'North' ;
   value NZ_REG
      0 = 'M Not available'  
      1 = 'Northland'  
      2 = 'Auckland'  
      3 = 'Thames Valley'  
      4 = 'Bay of Plenty'  
      5 = 'Waikato'  
      6 = 'Tongariro'  
      7 = 'East Cape'  
      8 = 'Hawkes Bay'  
      9 = 'Taranaki'  
      10 = 'Wanganui'  
      11 = 'Manawatu-Rangitikei'  
      12 = 'Horowhenua'  
      13 = 'Wellington'  
      14 = 'Wairarapa'  
      15 = 'Nelson Bays'  
      16 = 'Marlborough'  
      17 = 'West Coast'  
      18 = 'Canterbury'  
      19 = 'Aorangi'  
      20 = 'Clutha-Centr Otago'  
      21 = 'Coastal-North Otago'  
      22 = 'Southland' ;
   value PH_REG
      0 = 'M NAV'  
      1 = 'National Capital Region (NCR)'  
      2 = 'Balance Luzon'  
      3 = 'Visayas'  
      4 = 'Mindanao' ;
   value PT_REG
      0 = 'M Not available'  
      1 = 'North'  
      2 = 'Centre'  
      3 = 'Lisbon a Tagus Val'  
      4 = 'Alentejo'  
      5 = 'Algarve' ;
   value RU_REG
      0 = 'M NAV'  
      1 = 'North-West (Severo-Zapadnyi)'  
      2 = 'Central'  
      3 = 'Southern'  
      4 = 'Povolzhskiy'  
      5 = 'Ural'  
      6 = 'Siberian'  
      7 = 'Far East' ;
   value SE_REG
      0 = 'M Not available'  
      1 = 'North'  
      2 = 'Mid North'  
      3 = 'Mid East'  
      4 = 'Stockholm'  
      5 = 'West'  
      6 = 'Goeteborg'  
      7 = 'Smaaland Gotland'  
      8 = 'South'  
      9 = 'Malmoe' ;
   value SI_REG
      0 = 'M Not available'  
      1 = 'Pomurska'  
      2 = 'Podravska'  
      3 = 'Koroska'  
      4 = 'Savinjska'  
      5 = 'Gorenjska'  
      6 = 'Zasavska'  
      7 = 'Osrednja'  
      8 = 'Spodnjeposavska'  
      9 = 'Dolenjska'  
      10 = 'Goriska'  
      11 = 'Obalnokraska'  
      12 = 'Kraska'  
      99 = 'M NA' ;
   value TW_REG
      0 = 'M Not available'  
      1 = 'Keelung city'  
      2 = 'Taipei city'  
      3 = 'Taipei county'  
      4 = 'Taoyuan county'  
      5 = 'Hsinchu city'  
      6 = 'Hsinchu county'  
      7 = 'Miaoli county'  
      8 = 'Taichung city'  
      9 = 'Taichung county'  
      11 = 'Changhua county'  
      12 = 'Yunlin county'  
      13 = 'Chiayi city'  
      14 = 'Chiayi county'  
      15 = 'Tainan city'  
      16 = 'Tainan county'  
      17 = 'Kaohsiung city'  
      18 = 'Kaohsiung county'  
      19 = 'Pingtung county'  
      20 = 'Ilan county'  
      21 = 'Hualien county'  
      22 = 'Foreign area' ;
   value US_REG
      0 = 'M Not available'  
      1 = 'New England'  
      2 = 'Middle Atlantic'  
      3 = 'East North Central'  
      4 = 'West North Central'  
      5 = 'South Atlantic'  
      6 = 'East South Central'  
      7 = 'West South Central'  
      8 = 'Mountain'  
      9 = 'Pacific' ;
   value ZA_REG
      0 = 'M Not available'  
      1 = 'WC'  
      2 = 'EC'  
      3 = 'NC'  
      4 = 'FS'  
      5 = 'KZN'  
      6 = 'NW'  
      7 = 'GT'  
      8 = 'MP'  
      9 = 'LP' ;
   value AU_SIZE
      0 = 'M Not available'  
      1 = 'Inner metropolitan (over 100,000 people)'  
      2 = 'Outer metropolitan (over 100,000 people)'  
      3 = 'A large town (over 25,000 people)'  
      4 = 'A larger country town (over 10,000 people)'  
      5 = 'A small country town (under 10,000 people'  
      6 = 'A rural area or on a farm'  
      99 = 'M NA, refused' ;
   value BG_SIZE
      0 = 'M Not available'  
      1 = 'Capital-Sofia'  
      2 = '100001-500000'  
      3 = '20001 - 100000'  
      4 = '2001-20000'  
      5 = 'Up to 2000' ;
   value CA_SIZE
      0 = 'Not available'  
      1 = 'More than 1 million'  
      2 = '750 000 - 999 999'  
      3 = '500 000 - 749 999'  
      4 = '250 000 - 499 999'  
      5 = '100 000 - 249 999'  
      6 = '50 000 - 99 999'  
      7 = '10 000 - 49 999'  
      8 = '1 000 - 9 999'  
      9 = 'Less than 1 000' ;
   value CH_SIZE
      0 = 'M Not available' ;
   value CY_SIZE
      0 = 'M Not available'  
      1 = '100 001 and more'  
      2 = '50 001-100 000'  
      3 = '20 001- 50 000'  
      4 = '5 001- 20 000'  
      5 = '1 001- 5 000'  
      6 = 'Less than 1 000' ;
   value CZ_SIZE
      0 = 'M Not available'  
      1 = '1,2 Mill. (Prague)'  
      2 = '100 000 or more'  
      3 = '50 000- 99 999'  
      4 = '10 000- 49 999'  
      5 = '5 000- 9 999'  
      6 = '2 000- 4 999'  
      7 = '1 000- 1 999'  
      8 = 'Less than 1 000' ;
   value DE_SIZE
      0 = 'M Not available'  
      1 = 'More than 500 000'  
      2 = '100 000-499 999'  
      3 = '50 000- 99 999'  
      4 = '20 000- 49 999'  
      5 = '5 000- 19 999'  
      6 = '2 000- 4 999'  
      7 = 'up to 1 999' ;
   value DK_SIZE
      0 = 'M Not available'  
      1 = 'Greater Copenhagen area'  
      2 = 'City, 50 000-500 000'  
      3 = 'Town,city 10 000-49 999'  
      4 = 'Town,city 5 000- 9 999'  
      5 = 'Town,less than 5 000'  
      98 = 'M DK'  
      99 = 'M NA' ;
   value DO_SIZE
      0 = 'M Not available'  
      1 = 'Capital (Greater than 990)'  
      2 = 'Province 1 (550 to 990 thousand )'  
      3 = 'Province 2 (300 a 549 )'  
      4 = 'Province 4 ( 200 a 299 )'  
      5 = 'Province 5 (100 a 199)'  
      6 = 'Province 6 (Less than 100 thousand)' ;
   value ES_SIZE
      0 = 'Not available'  
      1 = 'Madrid and Barcelona'  
      2 = 'More than 250.000'  
      3 = '100.001 - 250.000'  
      4 = '50.001 - 100.000'  
      5 = '10.001 - 50.000'  
      6 = '5.001 - 10.000'  
      7 = '2.001 - 5.000'  
      8 = 'Less than 2.000' ;
   value FI_SIZE
      0 = 'M Not available'  
      1 = '180.000 or more'  
      2 = '50.000 - 179.999'  
      3 = '20.000 - 49.999'  
      4 = '8.000 - 19.999'  
      5 = 'less than 8.000'  
      99 = 'Not known' ;
   value FLA_SIZE
      0 = 'Not available'  
      1 = 'More than 100 000'  
      2 = '75 001-100 000'  
      3 = '30 001- 75 000'  
      4 = '15 001- 30 000'  
      5 = 'Less than 15 001' ;
   value FR_SIZE
      0 = 'M Not available'  
      1 = 'Paris'  
      2 = 'More than 500 000'  
      3 = '100 001- 500 000'  
      4 = '50 001- 100 000'  
      5 = '20 001- 50 000'  
      6 = '10 001- 20 000'  
      7 = '2 001- 10 000'  
      8 = 'Less than 2 000'  
      99 = 'M NA' ;
   value GB_SIZE
      0 = 'Not available'  
      1 = 'Lowest population density'  
      2 = '2'  
      3 = '3'  
      4 = 'Highest population density' ;
   value HU_SIZE
      0 = 'NAV'  
      1 = '2 mill.inh.,Budapest'  
      2 = '100 000-'  
      3 = '50 001-100 000'  
      4 = '20 001- 50 000'  
      5 = '10 001- 20 000'  
      6 = '5 001- 10 000'  
      7 = '2 001- 5 000'  
      8 = 'Less than 2 000' ;
   value IE_SIZE
      0 = 'M Not available'  
      1 = 'Dublin'  
      2 = 'Large city 70000 to 100000'  
      3 = 'Small city 50000 to 69999'  
      4 = 'Large town 10000 to 49999'  
      5 = 'Small town 3000 to 9999'  
      6 = 'Village up to 3000'  
      7 = 'Farm, rural property'  
      99 = 'NA' ;
   value IL_SIZE
      0 = 'Not available'  
      1 = 'More than 100 000'  
      2 = '50 001-100 000'  
      3 = '20 001- 50 000'  
      4 = '10 001- 20 000'  
      5 = '5 001- 10 000'  
      6 = '2 501 - 5 000'  
      7 = 'Less than 2500' ;
   value JP_SIZE
      0 = 'M Not available'  
      1 = '14 major cities'  
      2 = '300.000 or more'  
      3 = '100.000-299.999'  
      4 = 'Less than 100.000'  
      5 = 'Town or village' ;
   value KR_SIZE
      0 = 'M NAV'  
      1 = '1000001 and more: Metropolitan city'  
      2 = '100001 - 1000000 : Large city'  
      3 = '50001 - 100000 : Middle city'  
      4 = 'Less than 50000 : Rural city' ;
   value LV_SIZE
      0 = 'NAV'  
      1 = 'More than 500.000'  
      2 = '100.001- 500.000'  
      3 = '50.001- 100.000'  
      4 = '20.001- 50.000'  
      5 = '10.001- 20.000'  
      6 = '5.001-10.000'  
      7 = '2.000-5.000'  
      8 = 'Less than 2.000' ;
   value MX_SIZE
      0 = 'M Not available'  
      1 = '500.000 and more'  
      2 = '100.000-499.000'  
      3 = '50.000- 99.999'  
      4 = '15.000- 49.999'  
      5 = '10.000- 14.999'  
      6 = '5.000- 9.999'  
      7 = '2.500- 4.999'  
      8 = '1 - 2.499' ;
   value NO_SIZE
      0 = 'NAV'  
      1 = 'More than 100 000'  
      2 = '30 000- 99 999'  
      3 = '3 000- 29 999'  
      4 = 'Less than 3 000' ;
   value NZ_SIZE
      0 = 'M Not available'  
      1 = 'Large city 100 000 or more'  
      2 = 'Medium c 50 000-99 999'  
      3 = 'Small c 30 000-49999'  
      4 = 'Large town 10 000-29 999'  
      5 = 'Small town 1 000-9 999'  
      6 = 'Village less than 1 000'  
      7 = 'Farm, rural property'  
      99 = 'M NA' ;
   value PH_SIZE
      0 = 'M Not available'  
      58 = '58'  
      52074 = '52074' ;
   value PT_SIZE
      0 = 'M Not available'  
      1 = 'More than 100000'  
      2 = '20001 to 100000'  
      3 = '10001 to 20000'  
      4 = '2000 to 10000'  
      5 = 'Less than 2000' ;
   value RU_SIZE
      0 = 'M Not available'  
      1 = 'More than 1 000 000'  
      2 = '500 001-1 000 000'  
      3 = '250 001- 500 000'  
      4 = '100 001- 250 000'  
      5 = '50 001- 100 000'  
      6 = '20 001- 50 000'  
      7 = 'Urban, less than 20 000'  
      8 = 'Rural' ;
   value SE_SIZE
      0 = 'M Not available'  
      1 = 'More than 300 000 inh.'  
      2 = '90 000-300 000 inh.'  
      3 = '27 000-90 000 inh.'  
      4 = 'Less than 27 000 inh.' ;
   value SI_SIZE
      0 = 'M Not available'  
      1 = 'More than 50 000 (Lublj,Mar)'  
      2 = '10 000-50 000'  
      3 = '4 000-10 000'  
      4 = '2 000- 4 000'  
      5 = '500- 2 000'  
      99 = 'M NA' ;
   value TW_SIZE
      0 = 'Not available'  
      1 = 'More than 1,000,000'  
      2 = '250,001-1,000,000'  
      3 = '100,001-250,000'  
      4 = '50,001-100,000'  
      5 = '20,001-50,000'  
      6 = '10,001-20,000'  
      7 = '5001-10,000' ;
   value US_SIZE
      0 = 'M Not available'  
      1 = '1-9 millions'  
      2 = '500 000-999 999'  
      3 = '100 000-499 999'  
      4 = '50 000- 99 999'  
      5 = '10 000- 49 999'  
      6 = '1 000- 9 999'  
      7 = 'Less than 1 000' ;
   value ZA_SIZE
      0 = 'M Not available' ;
   value URBRURAL
      0 = 'M Not available'  
      1 = 'Urban,a big city'  
      2 = 'Suburb,outskirt of a big city'  
      3 = 'Town or small city'  
      4 = 'Country village'  
      5 = 'Farm or home in the country'  
      9 = 'M NA' ;
   value ETHNIC
      0 = 'M NAP; not available'  
      1 = 'Africa,Somalia,Sudan,Mandinka,Yoruba'  
      2 = 'Aklanon,Romblon'  
      3 = 'Albanian'  
      4 = 'American,American only,America'  
      5 = 'American Indian,Navajo,Ind.Dialect'  
      6 = 'Arab,Muslim (Morocco,Algeria,Lybia)'  
      7 = 'Esperanto,Latin,Slavonik,Celtic'  
      8 = 'Asia,other Asian'  
      9 = 'Australia,Oceania'  
      10 = 'Austria,Austrian'  
      11 = 'Baltic,Latvian,Estonian,Lith.'  
      12 = 'Bangladesh,Bangladeshi,Bengali'  
      13 = 'Basque, Vasco'  
      14 = 'Belgium, Belgian'  
      15 = 'Belorussia, Bialorussia'  
      16 = 'Bicolano/Bikol'  
      17 = 'Black/African/Carribean,No-Spanish'  
      18 = 'Bosnian'  
      19 = 'Bulgaria'  
      20 = 'Cajun/French Cajun'  
      21 = 'Canada,other Canada'  
      22 = 'Catalan-Valencian-Balear/Mallorquin'  
      23 = 'China,Cantonese,Hakka,Mandarin'  
      24 = 'Thai,Khmer,Vietnam,South-East Asia'  
      25 = 'Cook Island Maori'  
      26 = 'Creole,Surinam,Metis,Chavacano'  
      27 = 'Croatia'  
      28 = 'Czech Republic,Czechia,Czech'  
      29 = 'Czechoslovakia,Moravia,Czech-Slovak'  
      30 = 'Denmark,Danish'  
      31 = 'England,England&Wales,UK,English'  
      32 = 'Europe,White/European'  
      33 = 'Fijian'  
      34 = 'Finland,Finnish'  
      35 = 'France,French'  
      36 = 'French Canada,French Canadian'  
      37 = 'Frisian'  
      38 = 'Germany,German (H:German/Swab)'  
      39 = 'Greece,Greek, Greek Cypriot'  
      40 = 'Hebrew/Ivrit,Israel(arab pop.incl)'  
      41 = 'Hungary,Hungarian'  
      42 = 'Ibanag'  
      43 = 'Ilocano'  
      44 = 'Ilonggo/Hiligaynon,Bantayanon'  
      45 = 'India,Hindi,Urdu,Gujarati,Tamil'  
      46 = 'Indonesian,Malay/Malaysian'  
      47 = 'Iranian,Persian/Farsi,Dari'  
      48 = 'Ireland,Irish/Irish Gaelic'  
      49 = 'Italy,Italian'  
      50 = 'Japan,Japanese'  
      51 = 'Kapampangan/Pampangan'  
      52 = 'Kinaray-a'  
      53 = 'Korean'  
      54 = 'Maori+New Zealand'  
      55 = 'Maranaw/Maranao'  
      56 = 'Masbateno'  
      57 = 'Kurd,Assyria,Middle East,Lebanon'  
      58 = 'Netherlands,Dutch,Flemish'  
      59 = 'Nordic,Scandinavian other'  
      60 = 'North America'  
      61 = 'Norway, Norwegian'  
      62 = 'PACIFIC,Polynesian,Chamorro/Guam'  
      63 = 'Pakistan,Panjab/Punjabi,Pashto'  
      64 = 'Panggalatok/Pangasinan'  
      65 = 'Philippine other'  
      66 = 'Philippines,Tagalog,Filippino'  
      67 = 'Pidgin, PNG Pidgin'  
      68 = 'Poland,Polish,Pole'  
      69 = 'Portugal,Portuguese,E:Galician'  
      70 = 'Romani, Gipsy'  
      71 = 'Romanian/Rumanian'  
      72 = 'Russia,(former) USSR & Rep.'  
      73 = 'Samal'  
      74 = 'Samic,Lapp'  
      75 = 'Samoan, Tokelauan'  
      76 = 'Scotland,Scots Gaelic, Scottish'  
      77 = 'Serbia,Serbian,Serb'  
      78 = 'Slovakia, Slovak'  
      79 = 'Slovenia,Slovenian,Slovene'  
      80 = 'South+Latin America,NL:Neth.Antilles'  
      81 = 'Spanish, Castilian,Castellano'  
      82 = 'Swedish,Swede'  
      83 = 'Switzerland'  
      84 = 'Tatar'  
      85 = 'Tausug'  
      86 = 'Tongan,Niuean'  
      87 = 'Transcaucasian (BG:Armenian)'  
      88 = 'Turkey,Turkish'  
      89 = 'Ukraine,Ukrainian'  
      90 = 'USA'  
      91 = 'Visayan/Cebuano,Boholano,Leyteno'  
      92 = 'Waray'  
      93 = 'Welsh'  
      94 = 'Yiddish/Jewish'  
      95 = 'Yugoslavia,Serbo-Croatian'  
      96 = 'SE:One non-Swedish,both non-S'  
      97 = 'TW:Taiwanese,Hakka,Holo,aborigine'  
      98 = 'Other,mixed origin'  
      99 = 'M NA, dont know' ;
   value MODE
      10 = 'F2f,pap a pencil,no visuals'  
      11 = 'F2f,pap a pencil,visuals'  
      12 = 'F2f,pap a pencil,R readg questionnaire'  
      13 = 'F2f,pap a pencil,interpreter,no visuals'  
      14 = 'F2f,pap a pencil,interpreter,visuals'  
      20 = 'F2f,comp-assisted,no visuals'  
      21 = 'F2f,comp-assisted,visuals'  
      22 = 'F2f,comp-assisted,R readg questionnaire'  
      23 = 'F2f,comp-assisted,interpreter,no visuals'  
      24 = 'F2f,comp-assisted,interpreter,visuals'  
      30 = 'Self-compl,pap a pencil,interviewer attendg'  
      31 = 'Self-compl,pap a pencil,drops-off,picks up later'  
      32 = 'Self-compl,pap a pencil,drops-off,mailed back by R'  
      33 = 'Self-compl,pap a pencil,mailed to,hold for pick up'  
      34 = 'Self-compl,pap a pencil,mailed back by R'  
      40 = 'DK: Telephone interview'  
      99 = 'NA' ;
   value WEIGHT
      1 = 'No weighting' ;
   value VERSION
      1 = 'September, 12, 2007' ;

proc datasets library = library ;
modify Dataset;
   format        V3 V3F.;
   format        V4 V4F.;
   format        V5 V5F.;
   format        V6 V6F.;
   format        V7 V7F.;
   format        V8 V8F.;
   format        V9 V9F.;
   format       V10 V10F.;
   format       V11 V11F.;
   format       V12 V12F.;
   format       V13 V13F.;
   format       V14 V14F.;
   format       V15 V15F.;
   format       V16 V16F.;
   format       V17 V17F.;
   format       V18 V18F.;
   format       V19 V19F.;
   format       V20 V20F.;
   format       V21 V21F.;
   format       V22 V22F.;
   format       V23 V23F.;
   format    V23_CZ V23_CZ.;
   format       V24 V24F.;
   format       V25 V25F.;
   format       V26 V26F.;
   format       V27 V27F.;
   format       V28 V28F.;
   format       V29 V29F.;
   format       V30 V30F.;
   format       V31 V31F.;
   format       V32 V32F.;
   format       V33 V33F.;
   format       V34 V34F.;
   format       V35 V35F.;
   format       V36 V36F.;
   format       V37 V37F.;
   format       V38 V38F.;
   format       V39 V39F.;
   format       V40 V40F.;
   format       V41 V41F.;
   format       V42 V42F.;
   format       V43 V43F.;
   format       V44 V44F.;
   format       V45 V45F.;
   format       V46 V46F.;
   format       V47 V47F.;
   format       V48 V48F.;
   format       V49 V49F.;
   format       V50 V50F.;
   format       V51 V51F.;
   format       V52 V52F.;
   format       V53 V53F.;
   format       V54 V54F.;
   format       V55 V55F.;
   format       V56 V56F.;
   format       V57 V57F.;
   format       V58 V58F.;
   format       V59 V59F.;
   format       V60 V60F.;
   format       V61 V61F.;
   format       V62 V62F.;
   format       V63 V63F.;
   format       V64 V64F.;
   format       V65 V65F.;
   format       V66 V66F.;
   format       V67 V67F.;
   format       V68 V68F.;
   format       V69 V69F.;
   format       V70 V70F.;
   format       V71 V71F.;
   format       V72 V72F.;
   format       V73 V73F.;
   format       V74 V74F.;
   format       V75 V75F.;
   format       V76 V76F.;
   format       V77 V77F.;
   format       V78 V78F.;
   format       V79 V79F.;
   format       V80 V80F.;
   format       V81 V81F.;
   format       V82 V82F.;
   format       V83 V83F.;
   format       V84 V84F.;
   format       V85 V85F.;
   format       V86 V86F.;
   format       V87 V87F.;
   format       SEX SEX.;
   format       AGE AGE.;
   format   MARITAL MARITAL.;
   format     COHAB COHAB.;
   format   EDUCYRS EDUCYRS.;
   format    DEGREE DEGREE.;
   format   AU_DEGR AU_DEGR.;
   format   BG_DEGR BG_DEGR.;
   format   CA_DEGR CA_DEGR.;
   format   CH_DEGR CH_DEGR.;
   format   CY_DEGR CY_DEGR.;
   format   CZ_DEGR CZ_DEGR.;
   format   DE_DEGR DE_DEGR.;
   format   DK_DEGR DK_DEGR.;
   format   DO_DEGR DO_DEGR.;
   format   ES_DEGR ES_DEGR.;
   format   FI_DEGR FI_DEGR.;
   format  FLA_DEGR FLA_DEGR.;
   format   FR_DEGR FR_DEGR.;
   format   GB_DEGR GB_DEGR.;
   format   HU_DEGR HU_DEGR.;
   format   IE_DEGR IE_DEGR.;
   format   IL_DEGR IL_DEGR.;
   format   JP_DEGR JP_DEGR.;
   format   KR_DEGR KR_DEGR.;
   format   LV_DEGR LV_DEGR.;
   format   MX_DEGR MX_DEGR.;
   format   NO_DEGR NO_DEGR.;
   format   NZ_DEGR NZ_DEGR.;
   format   PH_DEGR PH_DEGR.;
   format   PT_DEGR PT_DEGR.;
   format   RU_DEGR RU_DEGR.;
   format   SE_DEGR SE_DEGR.;
   format   SI_DEGR SI_DEGR.;
   format   TW_DEGR TW_DEGR.;
   format   US_DEGR US_DEGR.;
   format   ZA_DEGR ZA_DEGR.;
   format     WRKST WRKST.;
   format    WRKHRS WRKHRS.;
   format    ISCO88 ISCO88F.;
   format   WRKTYPE WRKTYPE.;
   format   NEMPLOY NEMPLOY.;
   format    WRKSUP WRKSUP.;
   format     UNION UNION.;
   format   SPWRKST SPWRKST.;
   format  SPISCO88 SPISCO88F.;
   format  SPWRKTYP SPWRKTYP.;
   format   AU_RINC AU_RINC.;
   format   BG_RINC BG_RINC.;
   format   CA_RINC CA_RINC.;
   format   CH_RINC CH_RINC.;
   format   CY_RINC CY_RINC.;
   format   CZ_RINC CZ_RINC.;
   format   DE_RINC DE_RINC.;
   format   DK_RINC DK_RINC.;
   format   DO_RINC DO_RINC.;
   format   ES_RINC ES_RINC.;
   format   FI_RINC FI_RINC.;
   format  FLA_RINC FLA_RINC.;
   format   FR_RINC FR_RINC.;
   format   GB_RINC GB_RINC.;
   format   HU_RINC HU_RINC.;
   format   IE_RINC IE_RINC.;
   format   IL_RINC IL_RINC.;
   format   JP_RINC JP_RINC.;
   format   KR_RINC KR_RINC.;
   format   LV_RINC LV_RINC.;
   format   MX_RINC MX_RINC.;
   format   NO_RINC NO_RINC.;
   format   NZ_RINC NZ_RINC.;
   format   PH_RINC PH_RINC.;
   format   PT_RINC PT_RINC.;
   format   RU_RINC RU_RINC.;
   format   SE_RINC SE_RINC.;
   format   SI_RINC SI_RINC.;
   format   TW_RINC TW_RINC.;
   format   US_RINC US_RINC.;
   format   ZA_RINC ZA_RINC.;
   format    AU_INC AU_INC.;
   format    BG_INC BG_INC.;
   format    CA_INC CA_INC.;
   format    CH_INC CH_INC.;
   format    CY_INC CY_INC.;
   format    CZ_INC CZ_INC.;
   format    DE_INC DE_INC.;
   format    DK_INC DK_INC.;
   format    DO_INC DO_INC.;
   format    ES_INC ES_INC.;
   format    FI_INC FI_INC.;
   format   FLA_INC FLA_INC.;
   format    FR_INC FR_INC.;
   format    GB_INC GB_INC.;
   format    HU_INC HU_INC.;
   format    IE_INC IE_INC.;
   format    IL_INC IL_INC.;
   format    JP_INC JP_INC.;
   format    KR_INC KR_INC.;
   format    LV_INC LV_INC.;
   format    MX_INC MX_INC.;
   format    NO_INC NO_INC.;
   format    NZ_INC NZ_INC.;
   format    PH_INC PH_INC.;
   format    PT_INC PT_INC.;
   format    RU_INC RU_INC.;
   format    SE_INC SE_INC.;
   format    SI_INC SI_INC.;
   format    TW_INC TW_INC.;
   format    US_INC US_INC.;
   format    ZA_INC ZA_INC.;
   format    HOMPOP HOMPOP.;
   format   HHCYCLE HHCYCLE.;
   format  PARTY_LR PARTY_LR.;
   format   AU_PRTY AU_PRTY.;
   format   BG_PRTY BG_PRTY.;
   format   CA_PRTY CA_PRTY.;
   format   CH_PRTY CH_PRTY.;
   format   CY_PRTY CY_PRTY.;
   format   CZ_PRTY CZ_PRTY.;
   format   DE_PRTY DE_PRTY.;
   format   DK_PRTY DK_PRTY.;
   format   DO_PRTY DO_PRTY.;
   format   ES_PRTY ES_PRTY.;
   format   FI_PRTY FI_PRTY.;
   format  FLA_PRTY FLA_PRTY.;
   format   FR_PRTY FR_PRTY.;
   format   GB_PRTY GB_PRTY.;
   format   HU_PRTY HU_PRTY.;
   format   IE_PRTY IE_PRTY.;
   format   IL_PRTY IL_PRTY.;
   format   JP_PRTY JP_PRTY.;
   format   KR_PRTY KR_PRTY.;
   format   LV_PRTY LV_PRTY.;
   format   MX_PRTY MX_PRTY.;
   format   NO_PRTY NO_PRTY.;
   format   NZ_PRTY NZ_PRTY.;
   format   PH_PRTY PH_PRTY.;
   format   PT_PRTY PT_PRTY.;
   format   RU_PRTY RU_PRTY.;
   format   SE_PRTY SE_PRTY.;
   format   SI_PRTY SI_PRTY.;
   format   TW_PRTY TW_PRTY.;
   format   US_PRTY US_PRTY.;
   format   ZA_PRTY ZA_PRTY.;
   format   VOTE_LE VOTE_LE.;
   format     RELIG RELIG.;
   format  RELIGGRP RELIGGRP.;
   format    ATTEND ATTEND.;
   format    TOPBOT TOPBOT.;
   format    AU_REG AU_REG.;
   format    BG_REG BG_REG.;
   format    CA_REG CA_REG.;
   format    CH_REG CH_REG.;
   format    CY_REG CY_REG.;
   format    CZ_REG CZ_REG.;
   format    DE_REG DE_REG.;
   format    DK_REG DK_REG.;
   format    DO_REG DO_REG.;
   format    ES_REG ES_REG.;
   format    FI_REG FI_REG.;
   format   FLA_REG FLA_REG.;
   format    FR_REG FR_REG.;
   format    GB_REG GB_REG.;
   format    HU_REG HU_REG.;
   format    IE_REG IE_REG.;
   format    IL_REG IL_REG.;
   format    JP_REG JP_REG.;
   format    KR_REG KR_REG.;
   format    LV_REG LV_REG.;
   format    MX_REG MX_REG.;
   format    NO_REG NO_REG.;
   format    NZ_REG NZ_REG.;
   format    PH_REG PH_REG.;
   format    PT_REG PT_REG.;
   format    RU_REG RU_REG.;
   format    SE_REG SE_REG.;
   format    SI_REG SI_REG.;
   format    TW_REG TW_REG.;
   format    US_REG US_REG.;
   format    ZA_REG ZA_REG.;
   format   AU_SIZE AU_SIZE.;
   format   BG_SIZE BG_SIZE.;
   format   CA_SIZE CA_SIZE.;
   format   CH_SIZE CH_SIZE.;
   format   CY_SIZE CY_SIZE.;
   format   CZ_SIZE CZ_SIZE.;
   format   DE_SIZE DE_SIZE.;
   format   DK_SIZE DK_SIZE.;
   format   DO_SIZE DO_SIZE.;
   format   ES_SIZE ES_SIZE.;
   format   FI_SIZE FI_SIZE.;
   format  FLA_SIZE FLA_SIZE.;
   format   FR_SIZE FR_SIZE.;
   format   GB_SIZE GB_SIZE.;
   format   HU_SIZE HU_SIZE.;
   format   IE_SIZE IE_SIZE.;
   format   IL_SIZE IL_SIZE.;
   format   JP_SIZE JP_SIZE.;
   format   KR_SIZE KR_SIZE.;
   format   LV_SIZE LV_SIZE.;
   format   MX_SIZE MX_SIZE.;
   format   NO_SIZE NO_SIZE.;
   format   NZ_SIZE NZ_SIZE.;
   format   PH_SIZE PH_SIZE.;
   format   PT_SIZE PT_SIZE.;
   format   RU_SIZE RU_SIZE.;
   format   SE_SIZE SE_SIZE.;
   format   SI_SIZE SI_SIZE.;
   format   TW_SIZE TW_SIZE.;
   format   US_SIZE US_SIZE.;
   format   ZA_SIZE ZA_SIZE.;
   format  URBRURAL URBRURAL.;
   format    ETHNIC ETHNIC.;
   format      MODE MODE.;
   format    WEIGHT WEIGHT.;
   format   VERSION VERSION.;
quit;
