File layout for File Section J (Records are comma-delimited. First line contains a list of variables on the file. The remaining lines contain the values of the variables with fixed column positions.) Variables on all files DOEID '4-digit identification number' Columns 1-4 NWEIGHT 'The Final Weight' Columns 6-11 MQRESULT 'Mail Questionnaire Codes' Columns 13 REGIONC 'Census Region' Columns 15 DIVISION 'Census Division' Columns 17 LRGSTATE 'Four Largest States' Columns 19 CDD65 'Cooling Degree-Days to base 65, 1-04 TO 12-04' Columns 21-24 HDD65 'Heating Degree-Days to base 65, 1-04 TO 12-04' Columns 26-30 TYPEHUQ 'Type of Home: as report by Respondent' Columns 32 Variables in File 8 Section J only. NHSLDMEM 'How many people normally live in this household' Columns 34-35 ZNHSLDME 'Imputation Flag for NHSLDMEM' Columns 37 YEARS3 'How many are adults 65 or older' Columns 39 ZYEARS3 'Imputation Flag for YEARS3' Columns 41 YEARS4 'How many are adults 75 or older' Columns 43 ZYEARS4 'Imputation Flag for YEARS4' Columns 45 YEARS1 'How many are infants under the age of 1' Columns 47 ZYEARS1 'Imputation Flag for YEARS1' Columns 49 YEARS2 'How many are children between ages of 1 and 12' Columns 51 ZYEARS2 'Imputation Flag for YEARS2' Columns 53 YEARS5 'How many are between ages 13 and 64 years old' Columns 55-56 HBUSNESS 'Do you operate a home-based business or service' Columns 58 ZHBUSNES 'Imputation Flag for HBUSNESS' Columns 60 OTHBUS1 'First mention: what kind of business or service' Columns 62-63 OTHBUS2 'Second mention: what kind of business or service' Columns 65-66 OTHWORK 'Any other kind of activity use a lot more energy' Columns 68 ZOTHWORK 'Imputation Flag for OTHWORK' Columns 70 OTHACT1 'First mention what that activity is' Columns 72-73 OTHACT2 'Second mention what that activity is' Columns 75-76 ATHOME 'Is someone at home all day on a typical weekday' Columns 78 ZATHOME 'Imputation Flag for ATHOME' Columns 80 DRIVECAR 'Any other members use of any cars, trucks, SUVs' Columns 82 ZDRIVECA 'Imputation Flag for DRIVRCAR' Columns 84 VEHICLES 'How many vehicles does your household have' Columns 86-87 DRIVEMON 'How many people drive on a fairly regular basis' Columns 89-90 HHINTRO 'Are you a householder' Columns 92 HHSEX 'Are you/is the householder a male or a female' Columns 94 HHAGE 'How old are you/is the householder' Columns 96-97 EMPLOYHH 'How would you describe employment status' Columns 99 SPOUSE 'Household living with a spouse/partner' Columns 101 SDESCENT 'Householder Hispanic or Latino' Columns 103 ZSDESCEN 'Imputation Flag for SDESCENT' Columns 105 ORIGIN1 'First mention describe the householder's race' Columns 107-108 ZORIGIN1 'Imputation Flag for ORIGIN1' Columns 110 ORIGIN2 'Second mention describe the householder's race' Columns 112-113 ORIGIN3 'Third mention describe the householder's race' Columns 115-116 MONEYPY 'Total combined income in the past 12 months' Columns 118-119 ZMONEYPY 'Imputation Flag for MONEYPY' Columns 121 POOR100 'Below 100 percent of poverty' Columns 123 POOR125 'Below 125 percent of poverty' Columns 125 POOR150 'Below 150 percent of poverty' Columns 127 LIHEAP 'LIHEAP eligibility flag' Columns 129 Codebook for File section J/F8 Variables DOEID, NWEIGHT, MQRESULT, REGIONC, DIVISION, LRGSTATE CDD65, HDD65, and TYPEHUQ are on all files. DOEID '4-digit identification number' Columns 1-4 Included in all files Numerical Variable Variable length: 4 The variable DOEID will be on all files. Each respondent is assigned an unique value of DOEID. It can be used to merge data from one file with data from another file. Minimum Value: 1,001 Maximum Value: 5,852 NWEIGHT 'The Final Weight' Columns 6-11 Included in all files Numerical Variable Variable length: 6 Minimum Value: 5,594 Maximum Value: 105,485 The sample design for RECS is not a simple random sample. Consequently, to estimate the number or percent of households/housing units with a certain characteristic, the sampling weight should be used. The variable NWEIGHT is the sampling weight for the observation. It is approximately the inverse of the probability of selection. It gives the number of households that the response represents in the sample. For most categorical variables, the codebooks contain both the unweighted frequency and the weighted frequency. The unweighted frequency gives the number of observations, the weighted frequency gives survey estimate of the number of households/housing units for each possible value of the variable. The weighted frequencies are rounded to the nearest 100,000 households. This is the limit of the accuracy for RECS. When the unweighted frequency is less than 10 or the weighted frequency is less than 150,000; then weighted frequency is suppressed. A 'Q' is placed in the frequency to denote that the number is suppressed. This indicates that there are too few observation upon which to determine an accurate estimate. MQRESULT 'Mail Questionnaire Codes' Columns 13 Included in all files Categorical Variable Variable length 1 Mail Questionnaire (MQ) Authorization Form (AF) Personal Interview (PI) 1 = MQ Completed, AF Signed 2 = MQ Completed, AF not required 3 = MQ Completed, AF Not Signed 7 = MQ returned after a PI was completed 8 = PI was completed after MQ was returned 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 166 3,900,000 2 1 Q 3 76 1,700,000 7 42 1,000,000 8 24 600,000 9 4,513 99,800,000 Q = Data withheld because fewer than 10 observation in the category. When MQRESULT equals 1 2, or 3, the household and housing unit data was not obtained via a personal interview. The data were obtained using a shortened mail questionnaire. A hot-deck imputation procedure was used to match each mail respondent to a personal interview respondent. The critical matching variables were FUELHEAT, FUELH2O, TYPECOOL, TYPEHUQ, and REGIONC. Additional variables used in a scoring function to determine the best match were MONEYPY, NHSLDMEM, VEHICLES, HHAGE, and TOTROOMS. The remaining household/housing unit characteristics for the mail respondents were determined by the values of the matched personal interview respondent. The energy consumption and expenditures data for the mail respondents was based upon data obtained from their energy suppliers. It was not imputed using a hot deck procedure. Questionnaire data from personal interview respondents sometime is missing and needs to be imputed. 'Z' variables are used to indicate the presence of imputed data. For example, if ZURBRUR = 0 then URBRUR was not imputed. If ZURBRUR = 1 then URBRUR was imputed. Census Division/Region: A geographic area consisting of several States defined by the U.S. Department of Commerce, Bureau of the Census. The States are grouped into nine divisions and four regions. Region Division States Northeast New England Connecticut, Maine, Massachusetts, New Hampshire, Vermont, and Rhode Island Middle Atlantic New Jersey, New York, and Pennsylvania Midwest East North Central Illinois, Indiana, Michigan, Ohio, and Wisconsin West North Central Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota South South Atlantic Delaware, the District of Columbia, Florida, Georgia, Maryland, North Carolina, South Carolina, Virginia, and West Virginia East South Central Alabama, Kentucky, Mississippi, and Tennessee West South Central Arkansas, Louisiana, Oklahoma, and Texas West Mountain Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, and Wyoming Pacific Alaska, California, Hawaii, Oregon, and Washington REGIONC 'Census Region' Columns 15 Included in all files Categorical Variable Variable length 1 1 = Northeast Census Region 2 = Midwest Census Region 3 = South Census Region 4 = West Census Region Number Weighted Of Number of Value Observations Households 1 1,087 20,300,000 2 1,047 24,500,000 3 1,489 38,900,000 4 1,199 23,300,000 DIVISION 'Census Division' Columns 17 Included in all files Categorical Variable Variable length 1 1 = New England Census Division 2 = Middle Atlantic Census Division 3 = East North Central Census Division 4 = West North Central Census Division 5 = South Atlantic Census Division 6 = East South Central Census Division 7 = West South Central Census Division 8 = Mountain Census Division 9 = Pacific Census Division Number Weighted Of Number of Value Observations Households 1 396 5,400,000 2 691 14,800,000 3 681 17,100,000 4 366 7,400,000 5 626 20,300,000 6 409 6,800,000 7 454 11,800,000 8 407 6,700,000 9 792 16,600,000 LRGSTATE 'Four Largest States' Columns 19 Included in all files Categorical Variable Variable length 1 0 = Other 1 = New York State 2 = California 3 = Texas 4 = Florida Number Weighted Of Number of Value Observations Households 0 3,484 73,600,000 1 328 7,100,000 2 541 12,300,000 3 289 7,700,000 4 180 6,300,000 CDD65 and HDD65 are weather data. The values of CDD65 and HDD65 were based upon data obtained from the NOAA. A random error was added to both HDD65 and CDD65 to mask the location of the weather station from which the data was obtained. CDD65 'Cooling Degree-Days to base 65, 1-04 TO 12-04' Columns 21-24 Included in all files Numerical Variable Variable length 4 Minimum Value: 0 Maximum Value: 5,161 HDD65 'Heating Degree-Days to base 65, 1-04 TO 12-04' Columns 26-30 Included in all files Numerical Variable Variable length 5 Minimum Value: 0 Maximum Value: 10,045 Cooling degree days are the number of degrees the average daily temperature (ADT) is above the base temperature. Heating degree days are the number of degrees the ADT is below the base temperature. To calculate daily degree days (base 65 degrees): ADT = (daily high + daily low)/2 CDD(daily) = 0 if ADT <= 65 = ADT - 65 if ADT > 65 HDD(daily) = 0 if ADT >= 65 = 65 - ADT if ADT < 65. Annual degrees days are calculated by summing the daily degree days. The .5 is carried over in the summation. The total is rounded up after the summation. TYPEHUQ 'Type of Home: as report by Respondent' Columns 32 Included in all files Categorical Variable Variable length: 1 Question (A-1) different than RECS97 Variable was constructed form responses to questions A-1, A-3, A-3a, and A-3a1 There is a fine line between the definitions of various types of housing units. The distinction between a single-family attached unit and a unit in an apartment building is particularly complex. The 1997 RECS relied more heavily of the respondent's perception of the housing type. The 2001 RECS placed more emphasis on the interviewer's perception. 1 = Mobile Home 2 = Single-Family detached 3 = Single-Family Attached 4 = Apartment in Building containing 2-4 units 5 = Apartment in Building Containing 5 or more units Number Weighted Of Number of Value Observations Households 1 325 6,800,000 2 2,935 63,100,000 3 426 10,600,000 4 444 9,500,000 5 692 17,000,000 The remaining variables are on File Section 4 only. NHSLDMEM 'How many people normally live in this household' Columns 34-35 Question J-1 1-15 = Number that live in household Number Weighted Of Number of Value Observations Households 1 1,122 28,200,000 2 1,644 35,100,000 3 801 17,000,000 4 727 15,600,000 5 337 7,100,000 6 125 2,600,000 7 30 600,000 8 21 500,000 9 6 Q 10 6 Q 12 2 Q 15 1 Q Q = Data withheld because fewer than 10 observation in the category. ZNHSLDME 'Imputation Flag for NHSLDMEM' Columns 37 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,808 106,600,000 1 14 400,000 YEARS3 'How many are adults 65 or older' Columns 39 Question J-1a 0-15 = Number of adults 65 or older Number Weighted Of Number of Value Observations Households 0 3,607 80,000,000 1 792 18,100,000 2 417 8,800,000 3 5 Q 6 1 Q Q = Data withheld because fewer than 10 observation in the category. ZYEARS3 'Imputation Flag for YEARS3' Columns 41 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,816 106,900,000 1 6 Q Q = Data withheld because fewer than 10 observation in the category. YEARS4 'How many are adults 75 or older' Columns 43 Question J-1a1 0-15 = Number of adults 75 or older Number Weighted Of Number of Value Observations Households 0 4,223 93,800,000 1 464 10,300,000 2 134 2,900,000 6 1 Q Q = Data withheld because fewer than 10 observation in the category. ZYEARS4 'Imputation Flag for YEARS4' Columns 45 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,816 106,900,000 1 6 Q Q = Data withheld because fewer than 10 observation in the category. YEARS1 'How many are infants under the age of 1' Columns 47 Question J-1b 0-15 = Number of infants under age 1 Number Weighted Of Number of Value Observations Households 0 4,646 103,200,000 1 168 3,600,000 2 8 Q Q = Data withheld because fewer than 10 observation in the category. ZYEARS1 'Imputation Flag for YEARS1' Columns 49 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,817 106,900,000 1 5 Q Q = Data withheld because fewer than 10 observation in the category. YEARS2 'How many are children between ages of 1 and 12' Columns 51 Question J-1c 0-15 = Number of children between 1 and 12 Number Weighted Of Number of Value Observations Households 0 3,505 79,300,000 1 640 13,400,000 2 466 9,800,000 3 164 3,400,000 4 35 800,000 5 7 Q 6 4 Q 7 1 Q Q = Data withheld because fewer than 10 observation in the category. ZYEARS2 'Imputation Flag for YEARS2' Columns 53 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,816 106,900,000 1 6 Q Q = Data withheld because fewer than 10 observation in the category. YEARS5 'How many are between ages 13 and 64 years old' Columns 55-56 Question J-1d 0-15 = Remaining adults between 13 and 64 Number Weighted Of Number of Value Observations Households 0 888 20,200,000 1 993 24,000,000 2 1,855 39,700,000 3 666 14,200,000 4 315 6,600,000 5 72 1,600,000 6 22 500,000 7 6 Q 8 3 Q 10 1 Q 15 1 Q Q = Data withheld because fewer than 10 observation in the category. HBUSNESS 'Do you operate a home-based business or service' Columns 58 Question J-2 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,469 99,400,000 1 353 7,600,000 ZHBUSNES 'Imputation Flag for HBUSNESS' Columns 60 0 = Not Imputed 2 = EIA Imputed Number Weighted Of Number of Value Observations Households 0 4,817 106,800,000 2 5 Q Q = Data withheld because fewer than 10 observation in the category. OTHBUS1 'First mention: what kind of business or service' Columns 62-63 Question J-2a 1 = Computer/web/internet 2 = Sales/accounting/financial/real estate 3 = Writing/publishing/design/architecture 4 = Farming/ranch/fisheries/animal care 5 = Landscape/lawn & gardening 6 = Property management 7 = Carpentry/construction/contracting 8 = Automotive 9 = Trucking 10 = Medical/health services 11 = Maintenance/cleaning 12 = Beauty/hair services 13 = Child care/schooling 14 = Crafts/painting 15 = Service provider/personal instructor 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 21 500,000 2 95 2,100,000 3 30 800,000 4 35 600,000 5 12 200,000 6 13 200,000 7 46 900,000 8 4 Q 9 8 Q 10 20 400,000 11 13 300,000 12 7 Q 13 24 500,000 14 19 400,000 15 6 Q 99 4,469 99,400,000 Q = Data withheld because fewer than 10 observation in the category. OTHBUS2 'Second mention: what kind of business or service' Columns 65-66 Question J-2a 1 = Computer/web/internet 2 = Sales/accounting/financial/real estate 3 = Writing/publishing/design/architecture 4 = Farming/ranch/fisheries/animal care 5 = Landscape/lawn & gardening 6 = Property management 7 = Carpentry/construction/contracting 8 = Automotive 9 = Trucking 10 = Medical/health services 11 = Maintenance/cleaning 12 = Beauty/hair services 13 = Child care/schooling 14 = Crafts/painting 15 = Service provider/personal instructor 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 2 2 Q 3 2 Q 4 1 Q 7 1 Q 14 3 Q 99 4,813 106,800,000 Q = Data withheld because fewer than 10 observation in the category. OTHWORK 'Any other kind of activity use a lot more energy' Columns 68 Question J-3 1 = Yes 0 = No 6 = Don't know Number Weighted Of Number of Value Observations Households 0 4,742 105,200,000 1 78 1,700,000 6 2 Q Q = Data withheld because fewer than 10 observation in the category. ZOTHWORK 'Imputation Flag for OTHWORK' Columns 70 0 = Not Imputed 2 = EIA Imputed Number Weighted Of Number of Value Observations Households 0 4,821 107,000,000 2 1 Q Q = Data withheld because fewer than 10 observation in the category. OTHACT1 'First mention what that activity is' Columns 72-73 Question J-3a 1 = Medical equipment 2 = Power tools/woodworking/work shop 3 = Garage/mechanical work 4 = Office/business use 5 = Music/sound equipment 6 = Other hobbies/crafts 8 = (De)humidifier/pumps/filters/fans 10 = Tanning/exercise equipment 11 = Farm use 12 = Welding equipment 14 = Kiln 15 = Gardening 95 = Other 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 15 300,000 2 15 300,000 3 4 Q 4 13 300,000 5 2 Q 6 6 Q 8 4 Q 10 2 Q 11 4 Q 12 4 Q 14 3 Q 15 4 Q 95 2 Q 99 4,744 105,300,000 Q = Data withheld because fewer than 10 observation in the category. OTHACT2 'Second mention what that activity is' Columns 75-76 Question J-3a 8 = (De)humidifier/pumps/filters/fans 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 8 1 Q 99 4,821 107,000,000 Q = Data withheld because fewer than 10 observation in the category. ATHOME 'Is someone at home all day on a typical weekday' Columns 78 Question J-4 1 = Yes 0 = No 6 = Don't know Number Weighted Of Number of Value Observations Households 0 2,365 53,900,000 1 2,454 53,000,000 6 3 Q Q = Data withheld because fewer than 10 observation in the category. ZATHOME 'Imputation Flag for ATHOME' Columns 80 0 = Not Imputed 2 = EIA Imputed Number Weighted Of Number of Value Observations Households 0 4,814 106,800,000 2 8 Q Q = Data withheld because fewer than 10 observation in the category. DRIVECAR 'Any other members use of any cars, trucks, SUVs' Columns 82 Question J-5 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 509 11,600,000 1 4,313 95,400,000 ZDRIVECA 'Imputation Flag for DRIVRCAR' Columns 84 0 = Not Imputed 2 = EIA Imputed Number Weighted Of Number of Value Observations Households 0 4,815 106,800,000 2 7 Q Q = Data withheld because fewer than 10 observation in the category. VEHICLES 'How many vehicles does your household have' Columns 86-87 Question J-5a 0-10 = Number of vehicles 98 = Refused Number Weighted Of Number of Value Observations Households 0 502 11,500,000 1 1,552 36,000,000 2 1,825 40,100,000 3 668 13,900,000 4 187 3,800,000 5 55 1,100,000 6 16 300,000 7 5 Q 8 3 Q 9 1 Q 10 1 Q 98 7 Q Q = Data withheld because fewer than 10 observation in the category. DRIVEMON 'How many people drive on a fairly regular basis' Columns 89-90 Question J-6 0-15 = Number of people that drive 96 = Don't know 98 = Refused Number Weighted Of Number of Value Observations Households 0 385 9,000,000 1 1,518 35,600,000 2 2,354 50,300,000 3 432 9,100,000 4 110 2,300,000 5 13 300,000 6 1 Q 7 1 Q 96 2 Q 98 6 Q Q = Data withheld because fewer than 10 observation in the category. HHINTRO 'Are you a householder' Columns 92 Question J-7 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 108 2,400,000 1 4,714 104,600,000 HHSEX 'Are you/is the householder a male or a female' Columns 94 Question J-8 1 = Female 2 = Male Number Weighted Of Number of Value Observations Households 1 2,717 59,100,000 2 2,105 47,800,000 HHAGE 'How old are you/is the householder' Columns 96-97 Question J-9 16-95 = Age of householder 96 = Don't know 97 = Refused Number Weighted Of Number of Value Observations Households 16 1 Q 17 3 Q 18 6 Q 19 23 500,000 20 31 700,000 21 62 1,200,000 22 58 1,300,000 23 42 800,000 24 64 1,300,000 25 65 1,500,000 26 59 1,400,000 27 52 1,100,000 28 80 1,700,000 29 64 1,400,000 30 80 1,800,000 31 99 2,200,000 32 80 1,800,000 33 99 2,100,000 34 78 1,800,000 35 99 2,300,000 36 98 2,200,000 37 98 2,100,000 38 101 2,400,000 39 99 2,000,000 40 107 2,300,000 41 122 2,700,000 42 112 2,500,000 43 93 2,000,000 44 88 1,900,000 45 122 2,600,000 46 110 2,400,000 47 89 2,000,000 48 74 1,600,000 49 86 1,800,000 50 107 2,400,000 51 86 2,100,000 52 84 1,800,000 53 70 1,500,000 54 98 2,400,000 55 71 1,500,000 56 67 1,500,000 57 87 1,800,000 58 76 1,700,000 59 60 1,300,000 60 74 1,600,000 61 51 1,100,000 62 61 1,400,000 63 50 1,200,000 64 64 1,400,000 65 75 1,800,000 66 54 1,200,000 67 40 900,000 68 74 1,800,000 69 48 900,000 70 67 1,500,000 71 56 1,200,000 72 50 1,100,000 73 63 1,400,000 74 36 800,000 75 46 1,000,000 76 48 1,000,000 77 44 1,000,000 78 41 900,000 79 38 800,000 80 55 1,300,000 81 33 700,000 82 36 800,000 83 29 600,000 84 28 600,000 85 23 600,000 86 14 300,000 87 8 Q 88 7 Q 89 13 300,000 90 12 300,000 91 9 Q 92 7 Q 93 6 Q 94 2 Q 95 2 Q 96 10 200,000 97 98 2,300,000 Q = Data withheld because fewer than 10 observation in the category. EMPLOYHH 'How would you describe employment status' Columns 89 Question J-9 1 = Employed full-time 2 = Employed part-time 0 = Not employed 6 = Don't know 8 = Refused Number Weighted Of Number of Value Observations Households 0 1,825 40,100,000 1 2,493 55,900,000 2 492 10,700,000 6 1 Q 8 11 200,000 Q = Data withheld because fewer than 10 observation in the category. SPOUSE 'Household living with a spouse/partner' Columns 101 Question J-11 1 = Yes 0 = No 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 772 16,100,000 1 2,921 62,600,000 8 7 Q 9 1,122 28,200,000 Q = Data withheld because fewer than 10 observation in the category. SDESCENT 'Householder Hispanic or Latino' Columns 103 Question J-12 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,353 96,900,000 1 469 10,100,000 ZSDESCEN 'Imputation Flag for SDESCENT' Columns 105 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,812 106,800,000 1 10 200,000 ORIGIN1 'First mention describe the householder's race' Columns 107-108 Question J-13 1 = White 2 = Black or American Black 3 = American Indian or Alaskan Native 5 = Other 7 = Hispanic 41 = Asian 42 = Native Hawaiian or other Pacific Islander Number Weighted Of Number of Value Observations Households 1 3,766 82,900,000 2 535 13,000,000 3 38 700,000 5 61 1,300,000 7 267 5,700,000 41 138 3,000,000 42 17 400,000 ZORIGIN1 'Imputation Flag for ORIGIN1' Columns 110 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,807 106,700,000 1 15 300,000 ORIGIN2 'Second mention describe the householder's race' Columns 112-113 Question J-13 1 = White 2 = Black or American Black 3 = American Indian or Alaskan Native 5 = Other 7 = Hispanic 41 = Asian 42 = Native Hawaiian or other Pacific Islander 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 10 200,000 2 5 Q 3 20 500,000 5 4 Q 7 22 400,000 41 3 Q 42 2 Q 99 4,756 105,600,000 Q = Data withheld because fewer than 10 observation in the category. ORIGIN3 'Third mention describe the householder's race' Columns 115-116 Question J-13 3 = American Indian or Alaskan Native 5 = Other 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 3 1 Q 5 1 Q 99 4,820 107,000,000 Q = Data withheld because fewer than 10 observation in the category. MONEYPY 'Total combined income in the past 12 months' Columns 118-119 Question J-14 1 = Less than $5,000 2 = $5,000 to $9,999 3 = $10,000 to $14,999 4 = $15,000 to $19,999 5 = $20,000 to $29,999 6 = $30,000 TO $39,999 7 = $40,000 TO $49,999 8 = $50,000 TO $74,999 9 = $75,000 TO $99,999 10 = $100,000 or more Number Weighted Of Number of Value Observations Households 1 152 3,400,000 2 328 7,600,000 3 363 7,700,000 4 409 8,900,000 5 647 14,000,000 6 623 13,900,000 7 596 13,200,000 8 989 21,700,000 9 356 8,100,000 10 359 8,600,000 ZMONEYPY 'Imputation Flag for MONEYPY' Columns 121 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,335 95,800,000 1 487 11,200,000 POOR100 'Below 100 percent of poverty' Columns 123 1 = Poor 100% 0 = Nonpoor Number Weighted Of Number of Value Observations Households 0 4,146 92,000,000 1 676 15,000,000 POOR125 'Below 125 percent of poverty' Columns 125 1 = Poor 125% 0 = Nonpoor Number Weighted Of Number of Value Observations Households 0 3,903 86,900,000 1 919 20,100,000 POOR150 'Below 150 percent of poverty' Columns 127 1 = Poor 150% 0 = Nonpoor Number Weighted Of Number of Value Observations Households 0 3,603 80,500,000 1 1,219 26,500,000 LIHEAP 'LIHEAP eligibility flag' Columns 129 1 = Eligible 0 = Not eligible Number Weighted Of Number of Value Observations Households 0 3,251 73,200,000 1 1,571 33,800,000