Data Command File for MGMT 600 IPUMS Data This file describes the variables included in the MGMT600Data2.xls file. The first section lists the variables. The second section gives descriptions of each variable name, basically telling you what the variable is. The third section tells you what each numerical code means for each variable. First Section: List of Variable Names data list file ='allen.bellas@metrostate.edu1.dat'/ year 1- 4 serial 5- 9 numprec 10- 11 region 12- 13 statefip 14- 15 metro 16- 16 ownershp 17- 18 hhincome 19- 24 unitsstr 25- 26 phone 27- 27 pernum 28- 29 relate 30- 33 age 34- 35 sex 36- 36 race 37- 39 marst 40- 40 popstat 41- 41 bpl 42- 46 yrimmig 47- 49 citizen 50- 50 mbpl 51- 55 fbpl 56- 60 nativity 61- 61 hispan 62- 64 migrate1 65- 65 migsta1 66- 67 country 68- 72 whymove 73- 74 educ99 75- 76 educrec 77- 78 empstat 79- 80 labforce 81- 81 occ 82- 84 ind 85- 88 classwkr 89- 90 occly 91- 93 indly 94- 97 classwly 98- 99 wkswork1 100- 101 hrswork 102- 103

uhrswork 104- 105 fullpart 106- 106 durunemp 107- 108 wksunem1 109- 110 looking 111- 111 whyunemp 112- 112 absent 113- 113 firmsize 114- 114 pension 115- 115 union 116- 116 paidhour 117- 117 hourwage 118- 121 earnweek 122- 125 inctot 126- 131 incwage 132- 137 incbus 138- 143 incfarm 144- 149 incss 150- 154 incwelfr 155- 159 incretir 160- 165 incssi 166- 170 incint 171- 175 incunemp 176- 180 incwkcom 181- 185 incvet 186- 190 incsurv 191- 196 incdisab 197- 202 incdivid 203- 207 incrent 208- 212 inceduc 213- 217 incchild 218- 222 incalim 223- 227 incasist 228- 232 incother 233- 237 vetstat 238- 238 vetlast 239- 239 disabwrk 240- 240 quitsick 241- 241 health 242- 242 . Section Section: Description of Variable Names variable label year 'Survey year'. variable label serial 'Household serial number'. variable label numprec 'Number of person records following'. variable label region 'Region and division'. variable label statefip 'State (FIPS code)'. variable label metro 'Metropolitan central city status'. variable label ownershp 'Ownership of dwelling'. variable label hhincome 'Total household income'. variable label unitsstr 'Units in Structure'. variable label phone 'Telephone availability'. variable label pernum 'Person number in sample unit'. variable label relate 'Relationship to household head'. variable label age 'Age'. variable label sex 'Sex'.

variable label race 'Race'. variable label marst 'Marital status'. variable label popstat 'Adult civilian, armed forces, or child'. variable label bpl 'Birthplace'. variable label yrimmig 'Year of immigration'. variable label citizen 'Citizenship status'. variable label mbpl 'Mothers birthplace '. variable label fbpl 'Fathers birthplace'. variable label nativity 'Generation: nativity recode'. variable label hispan 'Hispanic origin'. variable label migrate1 'Migration status, 1 year'. variable label migsta1 'State of residence 1 year ago'. variable label country 'Country of previous residence'. variable label whymove 'Reason for moving'. variable label educ99 'Educational attainment, 1990'. variable label educrec 'Educational attainment recode'. variable label empstat 'Employment status'. variable label labforce 'Labor force status'. variable label occ 'Occupation'. variable label ind 'Industry'. variable label classwkr 'Class of worker'. variable label occly 'Occupation last year'. variable label indly 'Industry last year'. variable label classwly 'Class of worker last year'. variable label wkswork1 'Weeks worked last year'. variable label hrswork 'Hours worked last week'. variable label uhrswork 'Usual hours worked per week (last yr)'. variable label fullpart 'Full or part time last year'. variable label durunemp 'Continuous weeks unemployed'. variable label wksunem1 'Weeks unemployed last year'. variable label looking 'Looking for work'. variable label whyunemp 'Reason for unemployment'. variable label absent 'Absent from work last week'. variable label firmsize 'Number of employees'. variable label pension 'Pension plan at work'. variable label union 'Union membership'. variable label paidhour 'Paid hourly'. variable label hourwage 'Hourly wage'. variable label earnweek 'Weekly earnings before deductions'. variable label inctot 'Total personal income'. variable label incwage 'Wage and salary income'. variable label incbus 'Non-farm business income'. variable label incfarm 'Farm income'. variable label incss 'Social Security income'. variable label incwelfr 'Welfare (public assistance) income'. variable label incretir 'Retirement income'. variable label incssi 'Income from SSI'. variable label incint 'Income from interest'. variable label incunemp 'Income from unemployment benefits'. variable label incwkcom 'Income from workers compensation'. variable label incvet 'Income from veterans benefits'. variable label incsurv 'Income from survivors benefits'. variable label incdisab 'Income from disability benefits'. variable label incdivid 'Income from dividends'. variable label incrent 'Income from rent'. variable label inceduc 'Income from educational assistance'. variable label incchild 'Income from child support'.

variable label incalim 'Income from alimony'. variable label incasist 'Income from assistance'. variable label incother 'Income from other sources not specified'. variable label vetstat 'Veteran status'. variable label vetlast 'Veterans most recent period of service'. variable label disabwrk 'Work disability'. variable label quitsick 'Quit job or retired for health reasons'. variable label health 'Health status'. Third Section: Keys to the Codes for Each Variable value labels region 11 'New England Division' 12 'Middle Atlantic Division' 21 'East North Central Division' 22 'West North Central Division' 31 'South Atlantic Division' 32 'East South Central Division' 33 'West South Central Division' 41 'Mountain Division' 42 'Pacific Division' 97 'State not identified' . value labels statefip 01 'Alabama' 02 'Alaska' 04 'Arizona' 05 'Arkansas' 06 'California' 08 'Colorado' 09 'Connecticut' 10 'Delaware' 11 'District of Columbia' 12 'Florida' 13 'Georgia' 15 'Hawaii' 16 'Idaho' 17 'Illinois' 18 'Indiana' 19 'Iowa' 20 'Kansas' 21 'Kentucky' 22 'Louisiana' 23 'Maine' 24 'Maryland' 25 'Massachusetts' 26 'Michigan' 27 'Minnesota' 28 'Mississippi' 29 'Missouri' 30 'Montana' 31 'Nebraska' 32 'Nevada' 33 'New Hampshire' 34 'New Jersey'

35 'New Mexico' 36 'New York' 37 'North Carolina' 38 'North Dakota' 39 'Ohio' 40 'Oklahoma' 41 'Oregon' 42 'Pennsylvania' 44 'Rhode Island' 45 'South Carolina' 46 'South Dakota' 47 'Tennessee' 48 'Texas' 49 'Utah' 50 'Vermont' 51 'Virginia' 53 'Washington' 54 'West Virginia' 55 'Wisconsin' 56 'Wyoming' 61 'Maine-New Hampshire-Vermont' 65 'Montana-Idaho-Wyoming' 68 'Alaska-Hawaii' 69 'Nebraska-North Dakota-South Dakota' 70 'Maine-Massachusetts-New Hampshire-Rhode Island-Vermont' 71 'Michigan-Wisconsin' 72 'Minnesota-Iowa' 73 'Nebraska-North Dakota-South Dakota-Kansas' 74 'Delaware-Virginia' 75 'North Carolina-South Carolina' 76 'Alabama-Mississippi' 77 'Arkansas-Oklahoma' 78 'Arizona-New Mexico-Colorado' 79 'Idaho-Wyoming-Utah-Montana-Nevada' 80 'Alaska-Washington-Hawaii' 81 'New Hampshire-Maine-Vermont-Rhode Island' 82 'Virginia-West Virginia' 83 'South Carolina-Georgia' 84 'Kentucky-Tennessee' 85 'Arkansas-Louisiana-Oklahoma' 86 'Montana-Idaho-Wyoming-Colorado-New Mexico-Utah-Nevada' 87 'Iowa-N Dakota-S Dakota-Nebraska-Kansas-Minnesota-Missouri' 88 'Washington-Oregon-Alaska-Hawaii' 89 'Montana-Wyoming-Colorado-New Mexico-Utah-Nevada-Arizona' 90 'Delaware-Maryland-Virginia-West Virginia' 99 'State not identified' . value labels metro 0 'Not identifiable' 1 'Not in metro area' 2 'Central city' 3 'Outside central city' 4 'Central city status unknown' 9 'Missing/Unknown' .

value labels ownershp 00 'N/A' 10 'Owned or being bought' 20 'Rented' 21 'No cash rent' 22 'With cash rent' . value labels unitsstr 00 'N/A' 01 'Mobile home or trailer' 02 'Boat, tent, van, other' 05 '2 family building' 06 '3-4 family building' 07 '5-9 family building' 11 'One unit, unspecified type' 12 '10+ units in structure' 99 'Missing' . value labels phone 0 'N/A' 1 'No, no phone available' 2 'Yes, phone available' 3 'Yes, phone in household' . value labels relate 0000 'N/A' 0101 'Head/householder' 0201 'Spouse' 0301 'Child' 0303 'Stepchild' 0501 'Parent' 0701 'Sibling' 0901 'Grandchild' 1001 'Other relatives, n.s.' 1113 'Partner/roommate' 1114 'Unmarried partner' 1115 'Housemate/roomate' 1241 'Roomer/boarder/lodger' 1242 'Foster children' 1260 'Other nonrelatives' 9100 'Armed Forces, relationship unknown' 9200 'Age under 14, relationship unknown' . value labels age 00 'Under 1 year' 01 '1' 02 '2' 03 '3' 04 '4' 05 '5' 06 '6' 07 '7' 08 '8'

09 '9' 10 '10' 11 '11' 12 '12' 13 '13' 14 '14' 15 '15' 16 '16' 17 '17' 18 '18' 19 '19' 20 '20' 21 '21' 22 '22' 23 '23' 24 '24' 25 '25' 26 '26' 27 '27' 28 '28' 29 '29' 30 '30' 31 '31' 32 '32' 33 '33' 34 '34' 35 '35' 36 '36' 37 '37' 38 '38' 39 '39' 40 '40' 41 '41' 42 '42' 43 '43' 44 '44' 45 '45' 46 '46' 47 '47' 48 '48' 49 '49' 50 '50' 51 '51' 52 '52' 53 '53' 54 '54' 55 '55' 56 '56' 57 '57' 58 '58' 59 '59' 60 '60' 61 '61' 62 '62' 63 '63' 64 '64' 65 '65'

66 '66' 67 '67' 68 '68' 69 '69' 70 '70' 71 '71' 72 '72' 73 '73' 74 '74' 75 '75' 76 '76' 77 '77' 78 '78' 79 '79' 80 '80' 81 '81' 82 '82' 83 '83' 84 '84' 85 '85' 86 '86' 87 '87' 88 '88' 89 '89' 90 '90 (90+, 1988-2002)' 91 '91' 92 '92' 93 '93' 94 '94' 95 '95' 96 '96' 97 '97' 98 '98' 99 '99+' . value labels sex 1 'Male' 2 'Female' . value labels race 000 'Not available' 100 'White' 200 'Black/Negro' 300 'American Indian/Aleut/Eskimo' 400 'Chinese' 500 'Japanese' 650 'Asian or Pacific Islander' 651 'Asian only' 652 'Hawaiian/Pacific Islander only' 700 'Other (single) race, n.e.c.' 801 'White-Black' 802 'White-American Indian' 803 'White-Asian' 804 'White-Hawaiian/Pacific Islander' 805 'Black-American Indian'

806 'Black-Asian' 807 'Black-Hawaiian/Pacific Islander' 808 'American Indian-Asian' 809 'Asian-Hawaiian/Pacific Islander' 810 'White-Black-American Indian' 811 'White-Black-Asian' 812 'White-American Indian-Asian' 813 'White-Asian-Hawaiian/Pacific Islander' 814 'White-Black-American Indian-Asian' 820 'Two or three races, unspecified' 830 'Four or five races, unspecified' . value labels marst 1 'Married, spouse present' 2 'Married, spouse absent' 3 'Separated' 4 'Divorced' 5 'Widowed' 6 'Never married/single' . value labels popstat 1 'Adult civilian' 2 'Armed Forces' 3 'Child' . value labels bpl 09900 'United States, n.s.' 10000 'American Samoa' 10500 'Guam' 11000 'Puerto Rico' 11500 'U.S. Virgin Islands' 12090 'U.S. outlying areas, n.s.' 15000 'Canada' 16010 'Bermuda' 19900 'North America, n.s.' 20000 'Mexico' 21010 'Belize/British Honduras' 21020 'Costa Rica' 21030 'El Salvador' 21040 'Guatemala' 21050 'Honduras' 21060 'Nicaragua' 21070 'Panama' 21090 'Central America, n.s.' 25000 'Cuba' 26010 'Dominican Republic' 26020 'Haiti' 26030 'Jamaica' 26043 'Bahamas' 26044 'Barbados' 26054 'Dominica' 26055 'Grenada' 26060 'Trinidad and Tobago' 26091 'Caribbean, n.s.'

30005 'Argentina' 30010 'Bolivia' 30015 'Brazil' 30020 'Chile' 30025 'Colombia' 30030 'Ecuador' 30040 'Guyana/British Guiana' 30050 'Peru' 30060 'Uruguay' 30065 'Venezuela' 30090 'South America, n.s.' 40000 'Denmark' 40100 'Finland' 40400 'Norway' 40500 'Sweden' 41000 'England' 41100 'Scotland' 41300 'United Kingdom, n.s.' 41400 'Ireland' 41410 'Northern Ireland' 42000 'Belgium' 42100 'France' 42500 'Netherlands' 42600 'Switzerland' 43300 'Greece' 43400 'Italy' 43600 'Portugal' 43610 'Azores' 43800 'Spain' 45000 'Austria' 45200 'Czechoslavakia' 45212 'Slovakia' 45213 'Czech Republic' 45300 'Germany' 45400 'Hungary' 45500 'Poland' 45540 'Armenia' 45600 'Romania' 45700 'Yugoslavia' 46100 'Latvia' 46200 'Lithuania' 46500 'Other USSR/Russia' 46530 'Ukraine' 46590 'USSR, n.s.' 49900 'Europe, n.s.' 50000 'China' 50010 'Hong Kong' 50040 'Taiwan' 50100 'Japan' 50200 'Korea' 50220 'South Korea' 51100 'Cambodia' 51200 'Indonesia' 51300 'Laos' 51400 'Malaysia' 51500 'Philippines' 51600 'Singapore'

51700 'Thailand' 51800 'Vietnam' 52000 'Afghanistan' 52100 'India' 52110 'Bangladesh' 52130 'Burma' 52140 'Pakistan' 52200 'Iran' 53200 'Iraq' 53400 'Isreal/Palestine' 53420 'Palestine' 53500 'Jordan' 53700 'Lebanon' 54000 'Saudi Arabia' 54100 'Syria' 54200 'Turkey' 54700 'Middle East, n.s.' 59900 'Asia, n.e.c./n.s.' 60010 'Northern Africa' 60012 'Egypt/United Arab Rep.' 60014 'Morocco' 60023 'Ghana' 60031 'Nigeria' 60044 'Ethiopia' 60045 'Kenya' 60094 'South Africa (Union of)' 60099 'Africa, n.s./n.e.c.' 70010 'Australia' 70020 'New Zealand' 71000 'Pacific Islands' 71021 'Fiji' 96000 'Other, n.e.c. and unknown' . value labels yrimmig 000 'N/A' 200 '1996-1999' 201 '1996-1997' 202 '1998-2000' 203 '1998-2001' 204 '1998-1999' 205 '2000-2002' 949 'Before 1950' 959 '1950-1959' 964 '1960-1964' 969 '1965-1969' 974 '1970-1974' 979 '1975-1979' 980 '1975-1980' 981 '1980-1981' 983 '1982-1983' 984 '1982-1984' 985 '1984-1985' 986 '1985-1986' 987 '1986-1987' 989 '1988-1989' 990 '1987-1990'

991 '1990-1991' 992 '1992-1995' 993 '1992-1993' 994 '1992-1994' 995 '1994-1995' 996 '1994-1996' 997 '1994-1997' 998 '1996-1998' . value labels citizen 0 'N/A' 1 'Born abroad of American parents' 2 'Naturalized citizen or born abroad of American parents' 3 'Not a citizen' . value labels mbpl 09900 'U.S., n.s.' 10000 'American Samoa' 10500 'Guam' 11000 'Puerto Rico' 11500 'U.S. Virgin Islands' 12090 'U.S. outlying areas, n.s.' 15000 'Canada' 16010 'Bermuda' 19900 'North America, n.s.' 20000 'Mexico' 21010 'Belize/British Honduras' 21020 'Costa Rica' 21030 'El Salvador' 21040 'Guatemala' 21050 'Honduras' 21060 'Nicaragua' 21070 'Panama' 21090 'Central America, n.s.' 25000 'Cuba' 26000 'West Indies' 26010 'Dominican Republic' 26020 'Haiti' 26030 'Jamaica' 26043 'Bahamas' 26044 'Barbados' 26054 'Dominica' 26055 'Grenada' 26060 'Trinidad and Tobago' 30000 'South America' 30005 'Argentina' 30010 'Bolivia' 30015 'Brazil' 30020 'Chile' 30025 'Colombia' 30030 'Ecuador' 30040 'Guyana/British Guiana' 30050 'Peru' 30060 'Uruguay' 30065 'Venezuala'

40000 'Denmark' 40100 'Finland' 40400 'Norway' 40500 'Sweden' 41000 'England' 41100 'Scotland' 41300 'United Kingdom, n.s.' 41400 'Ireland' 41410 'Northern Ireland' 42000 'Belgium' 42100 'France' 42500 'Netherlands' 42600 'Switzerland' 43300 'Greece' 43400 'Italy' 43600 'Portugal' 43610 'Azores' 43800 'Spain' 45000 'Austria' 45200 'Czechoslavakia' 45212 'Slovakia' 45213 'Czech Republic' 45300 'Germany' 45400 'Hungary' 45500 'Poland' 45600 'Romania' 45700 'Yugoslavia' 46100 'Latvia' 46200 'Lithuania' 46500 'Other USSR/Russia' 46530 'Ukraine' 46540 'Armenia' 46590 'USSR, n.s.' 49900 'Europe, n.s.' 50000 'China' 50010 'Hong Kong' 50040 'Taiwan' 50100 'Japan' 50200 'Korea' 50220 'South Korea' 51100 'Cambodia' 51200 'Indonesia' 51300 'Laos' 51400 'Malaysia' 51500 'Philippines' 51600 'Singapore' 51700 'Thailand' 51800 'Vietnam' 52000 'Afghanistan' 52100 'India' 52110 'Bangladesh' 52130 'Burma (Myanmar)' 52140 'Pakistan' 52200 'Iran' 53200 'Iraq' 53400 'Isreal/Palestine' 53420 'Palestine'

53500 'Jordan' 53700 'Lebanon' 54000 'Saudi Arabia' 54100 'Syria' 54200 'Turkey' 54700 'Middle East, n.s.' 59900 'Asia, n.e.c, /n.s.' 60000 'Africa' 60010 'Northern Africa' 60012 'Egypt/United Arab Rep.' 60014 'Morocco' 60023 'Ghana' 60031 'Nigeria' 60044 'Ethiopia' 60045 'Kenya' 60094 'South Africa (Union of)' 70010 'Australia' 70020 'New Zealand' 71000 'Pacific Islands' 71021 'Fiji' 96000 'Other, n.e.c. and unknown' . value labels fbpl 09900 'U.S., n.s.' 10000 'American Samoa' 10500 'Guam' 11000 'Puerto Rico' 11500 'U.S. Virgin Islands' 12090 'U.S. outlying areas, n.s.' 15000 'Canada' 16010 'Bermuda' 19900 'North America, n.s.' 20000 'Mexico' 21010 'Belize/British Honduras' 21020 'Costa Rica' 21030 'El Salvador' 21040 'Guatemala' 21050 'Honduras' 21060 'Nicaragua' 21070 'Panama' 21090 'Central America, n.s.' 25000 'Cuba' 26000 'West Indies' 26010 'Dominican Republic' 26020 'Haiti' 26030 'Jamaica' 26043 'Bahamas' 26044 'Barbados' 26054 'Dominica' 26055 'Grenada' 26060 'Trinidad and Tobago' 30000 'South America' 30005 'Argentina' 30010 'Bolivia' 30015 'Brazil' 30020 'Chile'

30025 'Colombia' 30030 'Ecuador' 30040 'Guyana/British Guiana' 30050 'Peru' 30060 'Uruguay' 30065 'Venezuala' 40000 'Denmark' 40100 'Finland' 40400 'Norway' 40500 'Sweden' 41000 'England' 41100 'Scotland' 41300 'United Kingdom, n.s.' 41400 'Ireland' 41410 'Northern Ireland' 42000 'Belgium' 42100 'France' 42500 'Netherlands' 42600 'Switzerland' 43300 'Greece' 43400 'Italy' 43600 'Portugal' 43610 'Azores' 43800 'Spain' 45000 'Austria' 45200 'Czechoslavakia' 45212 'Slovakia' 45213 'Czech Republic' 45300 'Germany' 45400 'Hungary' 45500 'Poland' 45600 'Romania' 45700 'Yugoslavia' 46100 'Latvia' 46200 'Lithuania' 46500 'Other USSR/Russia' 46530 'Ukraine' 46540 'Armenia' 46590 'USSR, n.s.' 49900 'Europe, n.s.' 50000 'China' 50010 'Hong Kong' 50040 'Taiwan' 50100 'Japan' 50200 'Korea' 50220 'South Korea' 51100 'Cambodia' 51200 'Indonesia' 51300 'Laos' 51400 'Malaysia' 51500 'Philippines' 51600 'Singapore' 51700 'Thailand' 51800 'Vietnam' 52000 'Afghanistan' 52100 'India' 52110 'Bangladesh'

52130 'Burma (Myanmar)' 52140 'Pakistan' 52200 'Iran' 53200 'Iraq' 53400 'Isreal/Palestine' 53420 'Palestine' 53500 'Jordan' 53700 'Lebanon' 54000 'Saudi Arabia' 54100 'Syria' 54200 'Turkey' 54700 'Middle East, n.s.' 59900 'Asia, n.e.c, /n.s.' 60000 'Africa' 60010 'Northern Africa' 60012 'Egypt/United Arab Rep.' 60014 'Morocco' 60023 'Ghana' 60031 'Nigeria' 60044 'Ethiopia' 60045 'Kenya' 60094 'South Africa (Union of)' 70010 'Australia' 70020 'New Zealand' 71000 'Pacific Islands' 71021 'Fiji' 96000 'Other, n.e.c. and unknown' . value labels nativity 0 'N/A or unknown' 1 'Both parents native-born' 2 'Father foreign, mother native' 3 'Mother foreign, father native' 4 'Both parents foreign' 5 'Foreign born' . value labels hispan 000 'Not Hispanic' 100 'Mexican' 102 'Mexican American' 103 'Mexicano/Mexicana' 104 'Chicano/Chicana' 108 'Mexican (Mexicano)' 109 'Mexicano/Chicano' 200 'Puerto Rican' 300 'Cuban' 400 'Other Spanish' 410 'Central/South American' 900 'Not reported' 901 'Do not know' 902 'N/A (and no response 1985-87)' . value labels migrate1 0 'N/A'

1 'Same house' 2 'Different house, place not reported' 3 'Moved within county' 4 'Moved within state, different county' 5 'Moved between states' 6 'Abroad' 7 'Same state (migration status within state unknown)' 9 'Unknown' . value labels migsta1 00 'N/A' 01 'Alabama' 02 'Alaska' 04 'Arizona' 05 'Arkansas' 06 'California' 08 'Colorado' 09 'Connecticut' 10 'Delaware' 11 'District of Columbia' 12 'Florida' 13 'Georgia' 15 'Hawaii' 16 'Idaho' 17 'Illinois' 18 'Indiana' 19 'Iowa' 20 'Kansas' 21 'Kentucky' 22 'Louisiana' 23 'Maine' 24 'Maryland' 25 'Massachusetts' 26 'Michigan' 27 'Minnesota' 28 'Mississippi' 29 'Missouri' 30 'Montana' 31 'Nebraska' 32 'Nevada' 33 'New Hampshire' 34 'New Jersey' 35 'New Mexico' 36 'New York' 37 'North Carolina' 38 'North Dakota' 39 'Ohio' 40 'Oklahoma' 41 'Oregon' 42 'Pennsylvania' 44 'Rhode Island' 45 'South Carolina' 46 'South Dakota' 47 'Tennessee' 48 'Texas' 49 'Utah'

50 'Vermont' 51 'Virginia' 53 'Washington' 54 'West Virginia' 55 'Wisconsin' 56 'Wyoming' 91 'Abroad' 99 'Same house' . value labels country 00000 'Not applicable' 09900 'United States, n.s.' 10000 'American Samoa' 10500 'Guam' 11000 'Puerto Rico' 11500 'U.S. Virgin Islands' 12090 'U.S. outlying areas, n.s.' 15000 'Canada' 16010 'Bermuda' 19900 'North America, n.s.' 20000 'Mexico' 21010 'Belize/British Honduras' 21020 'Costa Rica' 21030 'El Salvador' 21040 'Guatemala' 21050 'Honduras' 21060 'Nicaragua' 21070 'Panama' 21090 'Central America, n.s.' 25000 'Cuba' 26010 'Dominican Republic' 26020 'Haiti' 26030 'Jamaica' 26043 'Bahamas' 26044 'Barbados' 26054 'Dominica' 26055 'Grenada' 26060 'Trinidad and Tobago' 26091 'Caribbean, n.s.' 30005 'Argentina' 30010 'Bolivia' 30015 'Brazil' 30020 'Chile' 30025 'Colombia' 30030 'Ecuador' 30040 'Guyana/British Guiana' 30050 'Peru' 30060 'Uruguay' 30065 'Venezuela' 30090 'South America, n.s.' 40000 'Denmark' 40100 'Finland' 40400 'Norway' 40500 'Sweden' 41000 'England' 41100 'Scotland'

41300 'United Kingdom, n.s.' 41400 'Ireland' 41410 'Northern Ireland' 42000 'Belgium' 42100 'France' 42500 'Netherlands' 42600 'Switzerland' 43300 'Greece' 43400 'Italy' 43600 'Portugal' 43610 'Azores' 43800 'Spain' 45000 'Austria' 45200 'Czechoslavakia' 45212 'Slovakia' 45213 'Czech Republic' 45300 'Germany' 45400 'Hungary' 45500 'Poland' 45540 'Armenia' 45600 'Romania' 45700 'Yugoslavia' 46100 'Latvia' 46200 'Lithuania' 46500 'Other USSR/Russia' 46530 'Ukraine' 46590 'USSR, n.s.' 49900 'Europe, n.s.' 50000 'China' 50010 'Hong Kong' 50040 'Taiwan' 50100 'Japan' 50200 'Korea' 50220 'South Korea' 51100 'Cambodia' 51200 'Indonesia' 51300 'Laos' 51400 'Malaysia' 51500 'Philippines' 51600 'Singapore' 51700 'Thailand' 51800 'Vietnam' 52000 'Afghanistan' 52100 'India' 52110 'Bangladesh' 52130 'Burma' 52140 'Pakistan' 52200 'Iran' 53200 'Iraq' 53400 'Israel/Palestine' 53420 'Palestine' 53500 'Jordan' 53700 'Lebanon' 54000 'Saudi Arabia' 54100 'Syria' 54200 'Turkey' 54700 'Middle East, n.s.'

59900 'Asia, n.e.c./n.s.' 60010 'Northern Africa' 60012 'Egypt/United Arab Rep.' 60014 'Morocco' 60023 'Ghana' 60031 'Nigeria' 60044 'Ethiopia' 60045 'Kenya' 60094 'South Africa (Union of)' 60099 'Africa, n.s./n.e.c.' 70010 'Australia' 70020 'New Zealand' 71000 'Pacific Islands' 71021 'Fiji' 96000 'Other, n.e.c. and unknown' . value labels whymove 00 'N/A' 01 'Change in marital status' 02 'To establish own household' 03 'Other family reason' 04 'New job or job transfer' 05 'To look for work or lost job' 06 'For easier commute' 07 'Retired' 08 'Other job-related reason' 09 'Wanted to own home, not rent' 10 'Wanted new or better housing' 11 'Wanted better neighborhood' 12 'For cheaper housing' 13 'Other housing reason' 14 'Attend/leave college' 15 'Change of climate' 16 'Health reasons' 17 'Other reasons' . value labels educ99 00 'Not applicable' 01 'No school completed' 04 '1st-4th grade' 05 '5th-8th grade' 06 '9th grade' 07 '10th grade' 08 '11th grade' 09 '12th grade, no diploma' 10 'High school graduate, or GED' 11 'Some college, no degree' 12 'Associate degree, occupational program' 13 'Associate degree, academic program' 14 'Bachelors degree' 15 'Masters degree' 16 'Professional degree' 17 'Doctorate degree' .

value labels educrec 00 'N/A' 01 'None or preschool' 02 'Grades 1, 2, 3, or 4' 03 'Grades 5, 6, 7, or 8' 04 'Grade 9' 05 'Grade 10' 06 'Grade 11' 07 'Grade 12' 08 '1 to 3 years of college' 09 '4+ years of college' 99 'Missing/Unknown' . value labels empstat 00 'N/A' 10 'At work' 12 'Has job, not at work last week' 13 'Armed Forces' 20 'Unemployed' 21 'Unemployed, experienced worker' 22 'Unemployed, new worker' 30 'Not in labor force' 31 'NILF, housework' 32 'NILF, unable to work' 33 'NILF, school' 34 'NILF, other' 35 'NILF, unpaid, lt 15 hours' 99 'Missing data' . value labels labforce 0 'N/A' 1 'No, not in the labor force' 2 'Yes, in the labor force' . value labels classwkr 00 'N/A' 10 'Self-employed' 13 'Self-employed, not incorporated' 14 'Self-employed, incorporated' 20 'Works for wages or salary' 22 'Wage/salary, private' 24 'Wage/salary, government' 25 'Federal government employee' 26 'Armed forces' 27 'State government employee' 28 'Local government employee' 29 'Unpaid family worker' 99 'Missing/Unknown' . value labels classwly 00 'N/A' 10 'Self-employed' 13 'Self-employed, not incorporated'

14 'Self-employed, incorporated' 20 'Works for wages or salary' 22 'Wage/salary, private' 24 'Wage/salary, government' 25 'Federal government employee' 27 'State government employee' 28 'Local government employee' 29 'Unpaid family worker' 99 'Missing/Unknown' . value labels hrswork 00 'N/A' . value labels uhrswork 00 'N/A' . value labels fullpart 0 'N/A' 1 'Full-time' 2 'Part-time' 9 'Unknown' . value labels durunemp 00 'N/A' 98 '98+ weeks' 99 'Missing/unknown' . value labels looking 0 'N/A' 1 'No, did not look for work' 2 'Yes, looked for work' . value labels whyunemp 0 'N/A' 1 'Job loser - on layoff' 2 'Other job loser' 3 'Temporary job ended' 4 'Job leaver' 5 'Re-entrant' 6 'New entrant' . value labels absent 0 'N/A' 1 'No' 2 'Yes, laid off' 3 'Yes, other reason (vacation, illness, labor dispute)' 4 'Not reported' . value labels firmsize

0 'N/A' 1 'Under 10' 2 '10 to 24' 3 'Under 25' 4 '25 to 99' 5 '100 to 499' 6 '500 to 999' 7 '1000+' . value labels pension 0 'N/A' 1 'No pension plan at work' 2 'Pension plan at work, but not included' 3 'Included in pension plan at work' . value labels union 0 'N/A' 1 'No union coverage' 2 'Member of labor union' 3 'Covered by union but not a member' . value labels paidhour 0 'N/A' 1 'No' 2 'Yes' . value labels inctot 999998 'Missing' 999999 'N/A' . value labels incwage 999998 'Missing' 999999 'N/A' . value labels incbus 999998 'Missing' 999999 'N/A' . value labels incfarm 999998 'Missing' 999999 'N/A' . value labels incss 99999 'N/A' . value labels incwelfr 99999 'N/A' .

value labels incretir 999999 'N/A' . value labels incssi 99999 'N/A' . value labels incint 99999 'N/A' . value labels incunemp 99999 'N/A' . value labels incwkcom 99999 'N/A' . value labels incvet 99999 'N/A' . value labels incsurv 99999 'N/A' . value labels incdisab 999999 'N/A' . value labels incdivid 99999 'N/A' . value labels incrent 99999 'N/A' . value labels incchild 99999 'N/A' . value labels incasist 99999 'N/A' . value labels incother 99999 'N/A' . value labels vetstat 0 'N/A' 1 'No service' 2 'Yes'

9 'Unknown' . value labels vetlast 0 'N/A' 1 'No service' 2 'World War I' 3 'World War II' 4 'Korean War' 5 'Vietnam Era' 6 'Peacetime period A' 7 'Peacetime period B' 8 'Other service' 9 'Unknown' . value labels disabwrk 0 'N/A' 1 'No disability that affects work' 2 'Disability limits or prevents work' . value labels quitsick 0 'N/A' 1 'No, did not quit job or retire' 2 'Yes, quit job or retired' . value labels health 0 'N/A' 1 'Excellent' 2 'Very good' 3 'Good' 4 'Fair' 5 'Poor' . execute.