File layout for File Section I (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 7 Section I only. SIGNFORM 'Authorization form signed' Columns 34 KFUELOT 'Household fuel bills cover non-households uses' Columns 36 PURPOSE1 'First non-household use mentioned' Columns 38 PURPOSE2 'Second non-household use mentioned' Columns 40 FARM 'Bills include farm/machine use' Columns 42 TENANT 'Bills cover fuel of other HH' Columns 44 BUSINESS 'Bills cover business/office' Columns 46 OTHERUSE 'Bills cover fuel for other use' Columns 48 BILLPUR1 'First fuel with non-household use' Columns 50 BILLPUR2 'Second fuel with non-household use' Columns 52 BILLPUR3 'Third fuel with non-residential use' Columns 54 BILLPUR4 'Fourth fuel with non-residential use' Columns 56 BILLUG 'Natural gas used for other purposes' Columns 58 BLPUSE 'LPG used for other purposes' Columns 60 BILLFOIL 'Fuel oil used for other purposes' Columns 62 BILLKER 'Kerosene used for other purposes' Columns 64 BILLEL 'Electricity used for other purposes' Columns 66 BILLUGP 'Amount of Natural gas used for other purposes' Columns 68 BILLLGP 'Amount of LPG used for other purposes' Columns 70 BILLPOLP 'Amount of fuel oil used for other purposes' Columns 72 BILLKERP 'Amount of kerosene used for other purposes' Columns 74 BILLELP 'Amount of electricity used for other purposes' Columns 76 Codebook for File section 6 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. SIGNFORM 'Authorization form signed' Columns 34 Question I-1 1 = Authorization form signed 0 = Authorization form not signed 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 720 16,100,000 1 3,869 85,700,000 9 233 5,100,000 KFUELOT 'Household fuel bills cover non-households uses' Columns 36 Question I-12 1 = Yes 0 = No 5 = Mail questionnaire 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 3,626 80,200,000 1 34 600,000 5 166 3,900,000 8 1 Q 9 995 22,300,000 Q = Data withheld because fewer than 10 observation in the category. PURPOSE1 'First non-household use mentioned' Columns 38 Question I-12a 1 = Farm or building machinery 2 = The house or apartment of another house 3 = A business or office Number Weighted Of Number of Value Observations Households 1 11 200,000 2 12 200,000 3 11 200,000 PURPOSE2 'Second non-household use mentioned' Columns 40 Question I-12a 2 = The house or apartment of another house Number Weighted Of Number of Value Observations Households 2 2 Q Q = Data withheld because fewer than 10 observation in the category. FARM 'Bills include farm/machine use' Columns 42 Question I-12a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 23 400,000 1 11 200,000 9 4,788 106,400,000 TENANT 'Bills cover fuel of other HH' Columns 44 Question I-12a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 20 400,000 1 14 200,000 9 4,788 106,400,000 BUSINESS 'Bills cover business/office' Columns 46 Question I-12a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 23 300,000 1 11 200,000 9 4,788 106,400,000 OTHERUSE 'Bills cover fuel for other use' Columns 48 Question I-12a 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 34 600,000 9 4,788 106,400,000 BILLPUR1 'First fuel with non-household use' Columns 50 Question I-12b 1 = Natural gas (from underground pipes) 2 = Bottled gas (LPG or propane) 3 = Fuel oil 5 = Electricity Number Weighted Of Number of Value Observations Households 1 5 Q 2 3 Q 3 11 200,000 5 15 300,000 Q = Data withheld because fewer than 10 observation in the category. BILLPUR2 'Second fuel with non-household use' Columns 52 Question I-12b 3 = Fuel oil 5 = Electricity Number Weighted Of Number of Value Observations Households 3 1 Q 5 8 Q Q = Data withheld because fewer than 10 observation in the category. BILLPUR3 'Third fuel with non-residential use' Columns 54 Question I-12b 4 = Kerosene Number Weighted Of Number of Value Observations Households 4 1 Q Q = Data withheld because fewer than 10 observation in the category. BILLPUR4 'Fourth fuel with non-residential use' Columns 56 Question I-12b 5 = Electricity Number Weighted Of Number of Value Observations Households 5 1 Q Q = Data withheld because fewer than 10 observation in the category. BILLUG 'Natural gas used for other purposes' Columns 58 Question I-12b 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 29 500,000 1 5 Q 9 4,788 106,400,000 Q = Data withheld because fewer than 10 observation in the category. BLPUSE 'LPG used for other purposes' Columns 60 Question I-12b 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 31 500,000 1 3 Q 9 4,788 106,400,000 Q = Data withheld because fewer than 10 observation in the category. BILLFOIL 'Fuel oil used for other purposes' Columns 62 Question I-12b 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 22 400,000 1 12 200,000 9 4,788 106,400,000 BILLKER 'Kerosene used for other purposes' Columns 64 Question I-12b 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 33 600,000 1 1 Q 9 4,788 106,400,000 Q = Data withheld because fewer than 10 observation in the category. BILLEL 'Electricity used for other purposes' Columns 66 Question I-12b 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 10 200,000 1 24 400,000 9 4,788 106,400,000 BILLUGP 'Amount of Natural gas used for other purposes' Columns 68 Question I-12b1 0 = Very little (1-4%) 1 = Some (5-33%) 2 = About half (34-66%) 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 1 Q 1 2 Q 2 1 Q 9 4,818 106,900,000 Q = Data withheld because fewer than 10 observation in the category. BILLLGP 'Amount of LPG used for other purposes' Columns 70 Question I-12b2 1 = Some (5-33%) 2 = About half (34-66%) 4 = Most of it (96-99%) 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 1 Q 2 1 Q 4 1 Q 9 4,819 107,000,000 Q = Data withheld because fewer than 10 observation in the category. BILLPOLP 'Amount of fuel oil used for other purposes' Columns 72 Question I-12b3 0 = Very little (1-4%) 1 = Some (5-33%) 2 = About half (34-66%) 3 = About three-quarters (67-95%) 6 = Don't know 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 3 Q 1 3 Q 2 3 Q 3 2 Q 6 1 Q 9 4,810 106,800,000 Q = Data withheld because fewer than 10 observation in the category. BILLKERP 'Amount of kerosene used for other purposes' Columns 74 Question I-12b3 4 = Most of it (96-99%) 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 4 1 Q 9 4,821 107,000,000 Q = Data withheld because fewer than 10 observation in the category. BILLELP 'Amount of electricity used for other purposes' Columns 76 Question I-12b3 0 = Very little (1-4%) 1 = Some (5-33%) 2 = About half (34-66%) 3 = About three-quarters (67-95%) 6 = Don't know 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 1 Q 1 13 200,000 2 5 Q 3 3 Q 6 1 Q 9 4,799 106,600,000 Q = Data withheld because fewer than 10 observation in the category.