File layout for File 7 (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 HHID '4-digit identification number' Columns 1-4 NWEIGHT 'The Final Weight' Columns 6-11 QMAIL '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, 1-93 TO 12-93' Columns 21-24 HDD65 'Heating Degree-Days to base 65, 1-93 TO 12-93' Columns 26-30 TYPEHUQ 'Type of Home: as report by Respondent' Columns 32 Variables in File 7 only. SIGNFORM 'Authorization Form Signed' Columns 34 KFUELOT 'Fuel Charges For Non-Household Use' Columns 36 FARM 'Bills Include Farm/Machine Use' Columns 38 ZFARM 'Imputation Flag for FARM' Columns 40 TENANT 'Bills Cover Fuel Of Other Household' Columns 42 BUSINESS 'Bills Cover Business/Office Use' Columns 44 OTHERUSE 'Bills Cover Fuel For Other Use' Columns 46 BILLUG 'Natural Gas Used For Other Purposes' Columns 48 ZBILLUG 'Imputation Flag for BILLUG' Columns 50 BLPGUSE 'LPG Used For Other Purposes' Columns 52 BILLFOIL 'Fuel Oil Used For Other Purposes' Columns 54 BILLKER 'Kerosene Used For Other Purposes' Columns 56 BILLEL 'Electric Used For Other Purposes' Columns 58 BILLUGP 'Percent Natural Gas Bill For Other Purposes' Columns 60 BILLLPGP 'Percent LPG Bill For Other Purposes' Columns 62 BILLFOLP 'Percent Fuel Oil Bill For Other Purposes' Columns 64 BILLKERP 'Percent Kerosene Bill For Other Purposes' Columns 66 BILLELP 'Percent Electric Bill For Other Purposes' Columns 68 Codebook for File 7 Variables HHID, NWEIGHT, QMAIL, REGIONC, DIVISION, LRGSTATE CDD65, HDD65, and TYPEHUQ are on all files. HHID '4-digit identification number' Columns 1-4 Included in all files Numerical Variable Variable length: 4 The variable HHID will be on all files. Each respondent is assigned an unique value of HHID. It can be used to merge data from one file with data from another file. Minimum Value: 1,001 Maximum Value: 8,111 NWEIGHT 'The Final Weight' Columns 6-11 Included in all files Numerical Variable Variable length: 6 Minimum Value: 2,096 Maximum Value: 78,559 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. QMAIL 'Mail Questionnaire Codes' Columns 13 Included in all files Categorical Variable Variable length 1 1 = Completed 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 115 1,500,000 9 6,996 95,100,000 When QMAIL equals 1, 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 1,531 19,500,000 2 1,541 23,300,000 3 2,494 33,500,000 4 1,545 20,400,000 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 1 567 5,100,000 2 964 14,400,000 3 970 16,400,000 4 571 6,900,000 5 1,232 17,400,000 6 556 6,000,000 7 706 10,100,000 8 550 5,400,000 9 995 15,000,000 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 5,133 66,700,000 1 475 6,800,000 2 699 11,100,000 3 437 6,400,000 4 367 5,600,000 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, 1-93 TO 12-93' Columns 21-24 Included in all files Numerical Variable Variable length 4 Minimum Value: 0 Maximum Value: 5,656 HDD65 'Heating Degree-Days to base 65, 1-93 TO 12-93' Columns 26-30 Included in all files Numerical Variable Variable length 5 Minimum Value: 0 Maximum Value: 11,725 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) Question same as RECS90 Imputed for nonresponse 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 1 464 5,600,000 2 4,385 59,500,000 3 547 7,300,000 4 563 8,000,000 5 1,152 16,200,000 The remaining variables are present only in File 7. SIGNFORM 'AUTHORIZATION FORM SIGNED' Columns 34 Categorical Variable Variable Length: 1 Question (K-22) RAC only variable Question same as RECS90 This variable not imputed 0 = 'NOT SIGNED' 1 = 'SIGNED' 8 = 'NO ANSWER' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 1 7,111 96,600,000 KFUELOT 'FUEL CHARGES FOR NON-HOUSEHOLD USE' Columns 36 Categorical Variable Variable Length 1 Question (K-23) Question different from RECS90 - has same name This variable not imputed 0 = 'NO' 1 = 'YES' 6 = 'DONT KNOW' 8 = 'NO ANSWER' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 6,179 83,800,000 1 335 4,400,000 6 27 400,000 8 360 5,400,000 9 210 2,700,000 FARM 'BILLS INCLUDE FARM/MACHINE USE' Columns 38 Categorical Variable Variable Length 1 Question (K-24) Question same as RECS90 Imputed for nonresponse 0 = 'NO' 1 = 'YES' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 225 2,900,000 1 110 1,500,000 9 6,776 92,200,000 ZFARM 'Imputation Flag for FARM' Columns 40 Categorical Variable Variable length 1 0 = FARM not imputed 1 = FARM imputed Number Weighted Of Number of Value Observations Households 0 7,106 96,600,000 1 5 Q Q = Data withheld because fewer than 10 observation in the category. TENANT 'BILLS COVER FUEL OF OTHER HOUSEHOLDS' Columns 42 Categorical Variable Variable Length 1 Question (K-24) Question same as RECS90 Imputed for nonresponse 0 = 'NO' 1 = 'YES' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 292 3,800,000 1 43 600,000 9 6,776 92,200,000 BUSINESS 'BILLS COVER BUSINESS/OFFICE USE' Columns 44 Categorical Variable Variable Length 1 Question (K-24) Question same as RECS90 Imputed for nonresponse 0 = 'NO' 1 = 'YES' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 149 2,100,000 1 186 2,300,000 9 6,776 92,200,000 OTHERUSE 'BILLS COVER FUEL FOR OTHER USE' Columns 46 Categorical Variable Variable Length 1 Question (K-24) Question same as RECS90 Imputed for nonresponse 0 = 'NO' 1 = 'YES' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 320 4,200,000 1 15 200,000 9 6,776 92,200,000 BILLUG 'UGAS USED FOR OTHER PURPOSES' Columns 48 Categorical Variable Variable Length 1 Question (K-25) Question same as RECS90 Imputed for nonresponse 0 = 'NO' 1 = 'YES' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 249 3,200,000 1 86 1,200,000 9 6,776 92,200,000 ZBILLUG 'Imputation Flag for BILLUG' Columns 50 Categorical Variable Variable length 1 0 = BILLUG not imputed 1 = BILLUG imputed Number Weighted Of Number of Value Observations Households 0 7,107 96,600,000 1 4 Q Q = Data withheld because fewer than 10 observation in the category. BLPGUSE 'LPG USED FOR OTHER PURPOSES' Columns 52 Categorical Variable Variable Length 1 Question (K-25) Question same as RECS90 Imputed for nonresponse 0 = 'NO' 1 = 'YES' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 308 4,100,000 1 27 300,000 9 6,776 92,200,000 BILLFOIL 'FUEL OIL USED FOR OTHER PURPOSES' Columns 54 Categorical Variable Variable Length 1 Question (K-25) Question same as RECS90 Imputed for nonresponse 0 = 'NO' 1 = 'YES' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 314 4,200,000 1 21 200,000 9 6,776 92,200,000 BILLKER 'KEROSENE USED FOR OTHER PURPOSES' Columns 56 Categorical Variable Variable Length 1 Question (K-25) Question same as RECS90 Imputed for nonresponse 0 = 'NO' 1 = 'YES' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 330 4,300,000 1 5 Q 9 6,776 92,200,000 Q = Data withheld because fewer than 10 observation in the category. BILLEL 'ELEC USED FOR OTHER PURPOSES' Columns 58 Categorical Variable Variable Length 1 Question (K-25) Question same as RECS90 Imputed for nonresponse 0 = 'NO' 1 = 'YES' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 32 400,000 1 303 4,000,000 9 6,776 92,200,000 BILLUGP 'PERCENT UG BILL FOR OTHER PURPOSES' Columns 60 Categorical Variable Variable Length 1 Question (K-26) Question same as RECS90 This variable not imputed 0 = 'VERY LITTLE (1-4%)' 1 = 'SOME (5-33%)' 2 = 'ABOUT HALF (34-66%)' 3 = 'ABOUT ¾ (67-95%)' 4 = 'MOST ALL (96-99%)' 8 = 'NO ANSWER' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 23 300,000 1 38 500,000 2 18 300,000 3 2 Q 4 1 Q 8 4 Q 9 7,025 95,500,000 Q = Data withheld because fewer than 10 observation in the category. BILLLPGP 'PERCENT LPG BILL FOR OTHER PURPOSES' Columns 62 Categorical Variable Variable Length 1 Question (K-27) Question same as RECS90 This variable not imputed 0 = 'VERY LITTLE (1-4%)' 1 = 'SOME (5-33%)' 2 = 'ABOUT HALF (34-66%)' 3 = 'ABOUT ¾ (67-95%)' 4 = 'MOST ALL (96-99%)' 8 = 'NO ANSWER' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 5 Q 1 8 Q 2 6 Q 3 4 Q 4 2 Q 8 2 Q 9 7,084 96,400,000 Q = Data withheld because fewer than 10 observation in the category. BILLFOLP 'PERCENT FUEL OIL BILL FOR OTHER PURPOSES' Columns 64 Categorical Variable Variable Length 1 Question (K-28) Question same as RECS90 This variable not imputed 0 = 'VERY LITTLE (1-4%)' 1 = 'SOME (5-33%)' 2 = 'ABOUT HALF (34-66%)' 3 = 'ABOUT ¾ (67-95%)' 4 = 'MOST ALL (96-99%)' 8 = 'NO ANSWER' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 2 Q 1 5 Q 2 5 Q 3 3 Q 4 1 Q 8 5 Q 9 7,090 96,400,000 Q = Data withheld because fewer than 10 observation in the category. BILLKERP 'PERCENT KEROSENE BILL FOR OTHER PURPOSES' Columns 66 Categorical Variable Variable Length 1 Question (K-29) Question same as RECS90 This variable not imputed 0 = 'VERY LITTLE (1-4%)' 1 = 'SOME (5-33%)' 2 = 'ABOUT HALF (34-66%)' 3 = 'ABOUT ¾ (67-95%)' 4 = 'MOST ALL (96-99%)' 8 = 'NO ANSWER' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 2 Q 3 1 Q 4 1 Q 8 1 Q 9 7,106 96,600,000 Q = Data withheld because fewer than 10 observation in the category. BILLELP 'PERCENT ELECTRIC BILL FOR OTHER PURPOSES' Columns 68 Categorical Variable Variable Length 1 Question (K-30) Question same as RECS90 This variable not imputed 0 = 'VERY LITTLE (1-4%)' 1 = 'SOME (5-33%)' 2 = 'ABOUT HALF (34-66%)' 3 = 'ABOUT ¾ (67-95%)' 4 = 'MOST ALL (96-99%)' 8 = 'NO ANSWER' 9 = 'NOT APPLICABLE' Number Weighted Of Number of Value Observations Households 0 91 1,100,000 1 133 1,800,000 2 38 500,000 3 19 300,000 4 1 Q 8 21 300,000 9 6,808 92,700,000 Q = Data withheld because fewer than 10 observation in the category.