dictionary {
_column(1) float var1 %1f "Location and size of place"
_column(2) float var2 %1f "Urbanization group"
_column(3) float var3 %1f "Area classificatino"
_column(4) float var4 %2f "SMSA or State"
_column(6) float var5 %4f "Consumer Unit Number"
_column(10) float var6 %1f "Region"
_column(11) float var7 %1f "Farm operator status"
_column(12) float var8 %1f "Year of survey (last digit)"
_column(13) float var9 %1f "Stratum size"
_column(14) float var10 %1f "Sex of head"
_column(15) float var11 %1f "Race of head"
_column(16) float var12 %1f "Education of head (code)"
_column(17) float var13 %2f "Education of head (actual years)"
_column(19) float var14 %1f "Age of head (code)"
_column(20) float var15 %3f "Actual age of head (years)"
_column(23) float var16 %3f "Occupation of head"
_column(26) float var17 %1f "Industry group, head"
_column(27) float var18 %1f "Class of work, private or gov't (head)"
_column(28) float var19 %3f "Number of persons, average for SY"
_column(31) float var20 %1f "Number of persons under 18 years"
_column(32) float var21 %1f "Number of persons 65 years and over"
_column(33) float var22 %1f "Part-year membership"
_column(34) float var23 %1f "Relationship of family members"
_column(35) float var24 %1f "Age of children of head"
_column(36) float var25 %1f "Total number of earners"
_column(37) float var26 %1f "Earner composition"
_column(38) float var27 %2f "Family income before taxes (code)"
_column(40) float var28 %2f "Family income after taxes (code)"
_column(42) float var29 %1f "Income change: Between SY and SY-1"
_column(43) float var30 %1f "Income change: Between SY-1 and SY-2"
_column(44) float var31 %1f "Income change: Between SY+1 and SY"
_column(45) float var32 %1f "Reason for change in income: Between SY and SY-1"
_column(46) float var33 %1f "Reason for change in income: Between SY+1 and SY"
_column(47) float var34 %1f "Housekeeping arrangement"
_column(48) float var35 %1f "Income-savings ratio (code)"
_column(49) float var36 %1f "Tenure at end of survey year"
_column(50) float var37 %1f "Tenure during all of survey year"
_column(51) float var38 %1f "Change in occupancy status and type of rental housing"
_column(52) float var39 %1f "Year of home purchase (code)"
_column(53) float var40 %2f "Market value of owner-occupied housing, for owners, end of SY (code)"
_column(55) float var41 %1f "Monthly rent paid, for tenants, end of SY(code)"
_column(56) float var42 %2f "Auto ownership number of autos owned at end of survey"
_column(58) float var43 %5f "1960-61 Expansion factor (weight)"
_column(63) float var44 %10f "Expenditures for current consumption, total"
_column(73) float var45 %10f "Food, total"
_column(83) float var46 %10f "Food prepared at home"
_column(93) float var47 %10f "Food away from home"
_column(103) float var48 %10f "Alcoholic beverages"
_column(113) float var49 %10f "Tobacco"
_column(123) float var50 %10f "Housing, total"
_column(133) float var51 %10f "Shelter, total"
_column(143) float var52 %10f "Rented dwelling"
_column(153) float var53 %10f "Owned dwelling, total"
_column(163) float var54 %10f "Interest on mortgages"
_column(173) float var55 %10f "Taxes due in survey year"
_column(183) float var56 %10f "Property insurance"
_column(193) float var57 %10f "Repairs and replacements"
_column(203) float var58 %10f "Other expenses"
_column(213) float var59 %10f "Owned vacation home, cabin, etc."
_column(223) float var60 %10f "Lodging out of home city"
_column(233) float var61 %10f "Other real estate"
_column(243) float var62 %10f "Fuel, light, refrigeration and water, total"
_column(253) float var63 %10f "Solid and petroleum fuels"
_column(263) float var64 %10f "Gas and electricity"
_column(273) float var65 %10f "Water, sewage, garbage  and trash collection"
_column(283) float var66 %10f "Ice, water softening services, freezer rentals, etc."
_column(293) float var67 %10f "Household operations, total"
_column(303) float var68 %10f "Telephone and telegraph"
_column(313) float var69 %10f "Other household services"
_column(323) float var70 %10f "Household supplies"
_column(333) float var71 %10f "Housefurnishing and equipment, total"
_column(343) float var72 %10f "Household textiles"
_column(353) float var73 %10f "Furniture, total"
_column(363) float var74 %10f "Living room"
_column(373) float var75 %10f "Dining room"
_column(383) float var76 %10f "Bedroom"
_column(393) float var77 %10f "Kitchen, porch, garden, other"
_column(403) float var78 %10f "Floor coverings"
_column(413) float var79 %10f "Major appliances, total"
_column(423) float var80 %10f "Refrigerators, home freezers"
_column(433) float var81 %10f "Washing machines, clothes dryers, combinations"
_column(443) float var82 %10f "All other"
_column(453) float var83 %10f "Small appliances"
_column(463) float var84 %10f "Housewares, total"
_column(473) float var85 %10f "Insurance on furnishings, equipment, and apparel"
_column(483) float var86 %10f "Other"
_column(493) float var87 %10f "Clothing, clothing materials, and clothing services, total"
_column(503) float var88 %10f "Men and boys, 18 years and over, total"
_column(513) float var89 %10f "Outerwear"
_column(523) float var90 %10f "Underwear, nightwear, hosiery"
_column(533) float var91 %10f "Footwear"
_column(543) float var92 %10f "Hats, gloves, and accessories"
_column(553) float var93 %10f "Expenditures not allocated"
_column(563) float var94 %10f "Boys, 16 and 17 years, total"
_column(573) float var95 %10f "Outerwear"
_column(583) float var96 %10f "Underwear, nightwear, hosiery"
_column(593) float var97 %10f "Footwear"
_column(603) float var98 %10f "Hats, gloves, and accessories"
_column(613) float var99 %10f "Expenditures not allocated"
_column(623) float var100 %10f "Boys, 2 thru 15 years, total"
_column(633) float var101 %10f "Outerwear"
_column(643) float var102 %10f "Underwear, nightwear, hosiery"
_column(653) float var103 %10f "Footwear"
_column(663) float var104 %10f "Hats, gloves, and accessories"
_column(673) float var105 %10f "Expenditures not allocated"
_column(683) float var106 %10f "Women and girls, 18 years and over, total"
_column(693) float var107 %10f "Outerwear"
_column(703) float var108 %10f "Underwear, nightwear, hosiery"
_column(713) float var109 %10f "Footwear"
_column(723) float var110 %10f "Hats, gloves, and accessories"
_column(733) float var111 %10f "Expenditures not allocated"
_column(743) float var112 %10f "Girls, 16 and 17 years, total"
_column(753) float var113 %10f "Outerwear"
_column(763) float var114 %10f "Underwear, nightwear, hosiery"
_column(773) float var115 %10f "Footwear"
_column(783) float var116 %10f "Hats, gloves, and accessories"
_column(793) float var117 %10f "Expenditures not allocated"
_column(803) float var118 %10f "Girls, 2 thru 15 years, total"
_column(813) float var119 %10f "Outerwear"
_column(823) float var120 %10f "Underwear, nightwear, hosiery"
_column(833) float var121 %10f "Footwear"
_column(843) float var122 %10f "Hats, gloves, and accessories"
_column(853) float var123 %10f "Expenditures not allocated"
_column(863) float var124 %10f "Children, under 2 years"
_column(873) float var125 %10f "Clothing materials"
_column(883) float var126 %10f "Clothing upkeep"
_column(893) float var127 %10f "Transportation, total "
_column(903) float var128 %10f "Automobile purchase"
_column(913) float var129 %10f "Automobile operation"
_column(923) float var130 %10f "Gasoline, motor oil, lubrication, washing, etc."
_column(933) float var131 %10f "Tires, tubes, batteries, other equipment"
_column(943) float var132 %10f "Operating expenses not allocated (for above two lines only)"
_column(953) float var133 %10f "Repairs and parts, not covered by insurance"
_column(963) float var134 %10f "Insurace"
_column(973) float var135 %10f "Registration and other"
_column(983) float var136 %10f "Public transportation, car pools, other"
_column(993) float var137 %10f "Medical care, total"
_column(1003) float var138 %10f "Prepaid care (premiums)"
_column(1013) float var139 %10f "Direct expenses, total"
_column(1023) float var140 %10f "For hospitalized illness"
_column(1033) float var141 %10f "Physicians' services outside hospital"
_column(1043) float var142 %10f "Dental services"
_column(1053) float var143 %10f "Eye care, including glasses"
_column(1063) float var144 %10f "Other practioners"
_column(1073) float var145 %10f "Drugs and medicines"
_column(1083) float var146 %10f "Medical appliances, supplies, other"
_column(1093) float var147 %10f "Personal care, total"
_column(1103) float var148 %10f "Services"
_column(1113) float var149 %10f "Supplies"
_column(1123) float var150 %10f "Recreation, total"
_column(1133) float var151 %10f "Television"
_column(1143) float var152 %10f "Radio, phonographs, musical instruments, etc."
_column(1153) float var153 %10f "Spectator admissions"
_column(1163) float var154 %10f "Participant sports (equipment, fees, dues)"
_column(1173) float var155 %10f "Club dues, hobbies, pets, toys, recreation out of home city, other"
_column(1183) float var156 %10f "Reading"
_column(1193) float var157 %10f "Education"
_column(1203) float var158 %10f "Tuition and fees"
_column(1213) float var159 %10f "School books, supplies, equipment"
_column(1223) float var160 %10f "Music and other special lessons, other"
_column(1233) float var161 %10f "Miscellaneous personal consumption expenditures"
_column(1243) float var162 %10f "Personal insurance, total (Life, endowment, annuity, etc.:)"
_column(1253) float var163 %10f "Veterans"
_column(1263) float var164 %10f "Group (deducted from pay)"
_column(1273) float var165 %10f "Other"
_column(1283) float var166 %10f "Mutual aid"
_column(1293) float var167 %10f "Disability income"
_column(1303) float var168 %10f "Other personal insurance"
_column(1313) float var169 %10f "Social Security, railroad and government retirement"
_column(1323) float var170 %10f "Private retirement"
_column(1333) float var171 %10f "Gifts and contributions, total (cash, goods, services)"
_column(1343) float var172 %10f "To persons not in consumer unit"
_column(1353) float var173 %10f "To organizations"
_column(1363) float var174 %10f "Net change in assets and liabilities"
_column(1373) float var175 %10f "Net change in assets"
_column(1383) float var176 %10f "Cash in bank, on hand, and money owed to family"
_column(1393) float var177 %10f "Purchase, improvement, and sale of: Own dwelling"
_column(1403) float var178 %10f "Purchase, improvement, and sale of: Other real property"
_column(1413) float var179 %10f "Investment in business"
_column(1423) float var180 %10f "Stocks and bonds "
_column(1433) float var181 %10f "Sale of personal property"
_column(1443) float var182 %10f "Settlement or surrender of insurance policies"
_column(1453) float var183 %10f "Other assets"
_column(1463) float var184 %10f "Net change in liabilities"
_column(1473) float var185 %10f "Mortgage on own dwelling"
_column(1483) float var186 %10f "Mortgage on other real property"
_column(1493) float var187 %10f "Money owed to banks, insurance companies, etc."
_column(1503) float var188 %10f "Money owed on purchase of: Automobile"
_column(1513) float var189 %10f "Money owed on purchase of: Housefurnishings and equipment"
_column(1523) float var190 %10f "Money owed on purchase of: Other goods and services"
_column(1533) float var191 %10f "Money owed on rent, taxes, and other liabilities"
_column(1543) float var192 %10f "Accounting balancing difference"
_column(1553) float var193 %10f "Money income after personal taxes, total"
_column(1563) float var194 %10f "Money income before personal taxes, total"
_column(1573) float var195 %10f "Wage and salary earnings"
_column(1583) float var196 %10f "Self-employment income"
_column(1593) float var197 %10f "Income from rent, roomers, boarders"
_column(1603) float var198 %10f "Interest, dividends, profits from stocks and bonds and owned but not operated businesses"
_column(1613) float var199 %10f "Public unemployment or Social Security benefits"
_column(1623) float var200 %10f "Private pensions, retirement, insurance annuities, and trust funds"
_column(1633) float var201 %10f "Public social assistance and private relief"
_column(1643) float var202 %10f "Receipt of cash gifts"
_column(1653) float var203 %10f "Military allotments, pensions, etc."
_column(1663) float var204 %10f "Other money income"
_column(1673) float var205 %10f "Personal taxes"
_column(1683) float var206 %10f "Other money receipts"
_column(1693) float var207 %10f "Value of items received without expense"
_column(1703) float var208 %10f "Value of home produced food"
_column(1713) float var209 %10f "Marital status of head"
_column(1723) float var210 %8f "Family size recode"
_column(1731) float var211 %9f "Number of full-time earners"
_column(1740) float var212 %10f "Reason for change in income: Between SY-1 and SY-2"
}