File layout for File Section H (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 6 Section H only. USEEL 'HH uses electricity' Columns 34 USENG 'HH uses utility gas' Columns 36 USELP 'HH uses LPG' Columns 38 USEFO 'HH uses Fuel oil' Columns 40 USEKERO 'HH uses Kerosene' Columns 42 USEWOOD 'HH uses Wood' Columns 44 USESOLAR 'HH uses solar' Columns 46 USEOTH 'HH uses other fuel' Columns 48 ELWARM 'Electricity used for heat' Columns 50 ELFOOD 'Electricity used to cook' Columns 52 ELWATER 'Electricity used for H2O' Columns 54 ELCOOL 'Electricity used to cool' Columns 56 ELOTHER 'Electricity used for other' Columns 58 UGWARM 'Natural gas used for heat' Columns 60 UGWATER 'Natural gas used for H2O' Columns 62 UGCOOK 'Natural gas used to cook' Columns 64 UGOTH 'Natural gas used for other' Columns 66 LPWARM 'Bottled gas used for heat' Columns 68 LPWATER 'Bottled gas used for H2O' Columns 70 LPCOOK 'Bottled gas used to cook' Columns 72 LPGRILL 'Bottled gas used to grill' Columns 74 LPOTHER 'Bottled gas used for other' Columns 76 FOWARM 'Fuel oil used for heat' Columns 78 FOWATER 'Fuel oil used for H2O' Columns 80 FOOTHER 'Fuel oil used for other' Columns 82 KRWARM 'Kerosene used for heat' Columns 84 KRWATER 'Kerosene used for H2O' Columns 86 KROTHER 'Kerosene used for other' Columns 88 WDWARM 'Wood used for heat' Columns 90 WDWATER 'Wood used for H2O' Columns 92 WDOTHER 'Wood used for other' Columns 94 SOLWARM 'Solar used for heat' Columns 96 SOLWATER 'Solar used for H2O' Columns 98 SOLPOOL 'Solar used to heat pool' Columns 100 SOLOTHER 'Solar used for other' Columns 102 OTHCOOK 'Other fuel used to cook' Columns 104 USENGLPG 'Both natural gas and bottled gas (LPG) used' Columns 106 NGLPGFU 'Do you use natural gas or bottled gas (LPG)' Columns 108 INTRO 'Do you use additional fuel in your home' Columns 110 PELHEAT 'Who pays electric for home heat' Columns 112 PELHOTWA 'Who pays electric for hot water' Columns 114 PELCOOK 'Who pays electric for cooking' Columns 116 PELAC 'Who pays electric for AC' Columns 118 PELLIGHT 'Who pays electric for light/appliances' Columns 120 ZPELLIGH 'Imputation Flag for PELLIGHT' Columns 122 PGASHEAT 'Who pays natural gas for heat' Columns 124 PGASHTWA 'Who pays natural gas for hot water' Columns 126 PUGCOOK 'Who pays natural gas for cooking' Columns 128 PUGOTH 'Who pays natural gas for appliances' Columns 130 FOPAY 'Who pays for fuel oil' Columns 132 LPGPAY 'Who pays for bottled gas' Columns 134 DEREG 'Heard about deregulation or customer choice' Columns 136 DEREGEL 'Are you able to buy electricity from a company' Columns 138 BUYDRGEL 'Buy electricity from someone than local company' Columns 140 DEREGNG 'Are you able to buy natural gas from a company' Columns 142 BUYDRGNG 'Buy natural gas from someone than local company' Columns 144 LPGDELV 'Is bottled gas delivered to your home' Columns 146 NDIFLPCO 'How many co. delivered bottled gas past 12 mon.' Columns 148-149 NLPDELNC 'How many deliveries did you get past 12 months' Columns 151-152 QUANTFO 'How many gallons did you use in past 12 months' Columns 154 FODEL 'Is fuel oil delivered to your home' Columns 156 NDIFFOCO 'How many co. delivered FO to you past 12 months' Columns 158-159 NFODELNC 'How many FO deliveries you get past 12 months' Columns 161-162 KERODEL 'Is kerosene delivered to your home' Columns 164 NDIFKRCO 'How many co. delivered kerosene to your home' Columns 166-167 KEROCASH 'Do you use cash to buy KR past 12 months' Columns 169 NOCRCASH 'How many times did you buy KR past 12 months' Columns 171-173 NKRGALNC 'How many gallons did you buy KR and bring home' Columns 175-176 PRICEKER 'How much per gallon did you pay for kerosene' Columns 178-183 TOTPAYKR 'How much did you pay for kerosene each time' Columns 185-192 TYPWOOD1 '1st mention what kinds of wood do you burn' Columns 194 TYPWOOD2 '2nd mention what kinds of wood do you burn' Columns 196 TYPWOOD3 '3rd mention what kinds of wood do you burn' Columns 198 TYPWOOD4 '4th mention what kinds of wood do you burn' Columns 200 WOODLOGS 'Use Wood logs or split wood as a fuel in house' Columns 202 WDSCRAP 'Use Wood scraps as a fuel in house' Columns 204 WDPELLET 'Use Wood pellets as a fuel in house' Columns 206 CORDS 'Number of cords' Columns 208-211 HOWPAID 'How utilities are paid' Columns 213 HOWPAYEL 'How electricity is paid' Columns 215 HOWPAYNG 'How Natural gas is paid' Columns 217 HOWPAYLP 'How LPG is paid' Columns 219 HOWPAYFO 'How fuel oil is paid' Columns 221 HOWPAYKR 'How kerosene is paid' Columns 223 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. USEEL 'HH uses electricity' Columns 34 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 1 Q 1 4,821 107,000,000 Q = Data withheld because fewer than 10 observation in the category. USENG 'HH uses utility gas' Columns 36 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 1,883 40,100,000 1 2,939 66,900,000 USELP 'HH uses LPG' Columns 38 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,318 97,600,000 1 504 9,400,000 USEFO 'HH uses Fuel oil' Columns 40 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,313 98,300,000 1 509 8,700,000 USEKERO 'HH uses Kerosene' Columns 42 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,683 104,100,000 1 139 2,900,000 USEWOOD 'HH uses Wood' Columns 44 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,113 92,500,000 1 709 14,500,000 USESOLAR 'HH uses solar' Columns 46 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,763 105,900,000 1 59 1,100,000 USEOTH 'HH uses other fuel' Columns 48 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,821 107,000,000 1 1 Q Q = Data withheld because fewer than 10 observation in the category. ELWARM 'Electricity used for heat' Columns 50 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 2,922 63,000,000 1 1,900 44,000,000 ELFOOD 'Electricity used to cook' Columns 52 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 1,843 40,800,000 1 2,979 66,200,000 ELWATER 'Electricity used for H2O' Columns 54 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 2,973 65,400,000 1 1,849 41,600,000 ELCOOL 'Electricity used to cool' Columns 56 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 2,444 48,400,000 1 2,378 58,600,000 ELOTHER 'Electricity used for other' Columns 58 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 2 Q 1 4,820 106,900,000 Q = Data withheld because fewer than 10 observation in the category. UGWARM 'Natural gas used for heat' Columns 60 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 2,147 46,300,000 1 2,675 60,700,000 UGWATER 'Natural gas used for H2O' Columns 62 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 2,272 48,700,000 1 2,550 58,200,000 UGCOOK 'Natural gas used to cook' Columns 64 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 3,204 70,000,000 1 1,618 37,000,000 UGOTH 'Natural gas used for other' Columns 66 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,065 88,900,000 1 757 18,100,000 Q = Data withheld because fewer than 10 observation in the category. LPWARM 'Bottled gas used for heat' Columns 68 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,467 100,300,000 1 355 6,600,000 LPWATER 'Bottled gas used for H2O' Columns 70 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,661 104,000,000 1 161 3,000,000 LPCOOK 'Bottled gas used to cook' Columns 72 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,538 101,900,000 1 284 5,000,000 LPGRILL 'Bottled gas used to grill' Columns 74 Note: This variable was used mainly for editing purposes. It was not intended to be used to estimate the number of households that use outdoor LPG grills. Many respondents that have outdoor LPG grills were directly not asked the question associated with LPGRILL and LPGRILL was assigned a value of 0 for these respondents. 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,507 100,100,000 1 315 6,900,000 LPOTHER 'Bottled gas used for other' Columns 76 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,761 105,900,000 1 61 1,100,000 FOWARM 'Fuel oil used for heat' Columns 78 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,322 98,500,000 1 500 8,500,000 FOWATER 'Fuel oil used for H2O' Columns 80 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,540 102,300,000 1 282 4,700,000 FOOTHER 'Fuel oil used for other' Columns 82 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,821 107,000,000 1 1 Q Q = Data withheld because fewer than 10 observation in the category. KRWARM 'Kerosene used for heat' Columns 84 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,693 104,300,000 1 129 2,700,000 KRWATER 'Kerosene used for H2O' Columns 86 1 = Yes 0 = No 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. KROTHER 'Kerosene used for other' Columns 88 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,812 106,800,000 1 10 200,000 WDWARM 'Wood used for heat' Columns 90 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,115 92,500,000 1 707 14,500,000 WDWATER 'Wood used for H2O' Columns 92 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,812 106,800,000 1 10 200,000 WDOTHER 'Wood used for other' Columns 94 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,821 107,000,000 1 1 Q Q = Data withheld because fewer than 10 observation in the category. SOLWARM 'Solar used for heat' Columns 96 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,801 106,700,000 1 21 300,000 SOLWATER 'Solar used for H2O' Columns 98 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,799 106,500,000 1 23 500,000 SOLPOOL 'Solar used to heat pool' Columns 100 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,815 106,800,000 1 7 Q Q = Data withheld because fewer than 10 observation in the category. SOLOTHER 'Solar used for other' Columns 102 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,811 106,800,000 1 11 200,000 OTHCOOK 'Other fuel used to cook' Columns 104 0 = No Number Weighted Of Number of Value Observations Households 0 4,822 107,000,000 USENGLPG 'Both natural gas and bottled gas (LPG) used' Columns 106 Question H-1 1 = Yes 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 5 Q 8 8 Q 9 4,809 106,700,000 Q = Data withheld because fewer than 10 observation in the category. NGLPGFU 'Do you use natural gas or bottled gas (LPG)' Columns 108 Question H-1a 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 9 4,822 107,000,000 INTRO 'Do you use additional fuel in your home' Columns 110 Question H-2 1 = Yes 0 = No Number Weighted Of Number of Value Observations Households 0 4,478 99,500,000 1 344 7,500,000 PELHEAT 'Who pays electric for home heat' Columns 112 Question H-3 1 = Household pays 2 = Rent/Fee 3 = Paid to third party 4 = Combined household bill 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 1,781 41,200,000 2 112 2,700,000 3 6 Q 4 1 Q 9 2,922 63,000,000 Q = Data withheld because fewer than 10 observation in the category. PELHOTWA 'Who pays electric for hot water' Columns 114 Question H-3 1 = Household pays 2 = Rent/Fee 3 = Paid to third party 4 = Combined household bill 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 1,714 38,400,000 2 129 3,000,000 3 4 Q 4 2 Q 9 2,973 65,400,000 Q = Data withheld because fewer than 10 observation in the category. PELCOOK 'Who pays electric for cooking' Columns 116 Question H-3 1 = Household pays 2 = Rent/Fee 3 = Paid to third party 4 = Combined household bill 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 2,830 62,900,000 2 140 3,100,000 3 8 Q 4 1 Q 9 1,843 40,800,000 Q = Data withheld because fewer than 10 observation in the category. PELAC 'Who pays electric for AC' Columns 118 Question H-3 1 = Household pays 2 = Rent/Fee 3 = Paid to third party 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 2,301 56,700,000 2 70 1,800,000 3 7 Q 9 2,444 48,400,000 Q = Data withheld because fewer than 10 observation in the category. PELLIGHT 'Who pays electric for light/appliances' Columns 120 Question H-3 1 = Household pays 2 = Rent/Fee 3 = Paid to third party 4 = Combined household bill 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 4,568 101,400,000 2 233 5,100,000 3 18 400,000 4 2 Q 9 1 Q Q = Data withheld because fewer than 10 observation in the category. ZPELLIGH 'Imputation Flag for PELLIGHT' Columns 122 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. PGASHEAT 'Who pays Natural gas for heat' Columns 124 Question H-3 1 = Household pays 2 = Rent/Fee 3 = Paid to third party 6 = Household with gas wells on their property 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 2,420 55,100,000 2 245 5,400,000 3 8 Q 6 2 Q 9 2,147 46,300,000 Q = Data withheld because fewer than 10 observation in the category. PGASHTWA 'Who pays Natural gas for hot water' Columns 126 Question H-3 1 = Household pays 2 = Rent/Fee 3 = Paid to third party 6 = Household with gas wells on their property 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 2,235 51,100,000 2 304 6,900,000 3 9 Q 6 2 Q 9 2,272 48,700,000 Q = Data withheld because fewer than 10 observation in the category. PUGCOOK 'Who pays Natural gas for cooking' Columns 128 Question H-3 1 = Household pays 2 = Rent/Fee 3 = Paid to third party 6 = Household with gas wells on their property 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 1,447 33,100,000 2 163 3,700,000 3 7 Q 6 1 Q 9 3,204 70,000,000 Q = Data withheld because fewer than 10 observation in the category. PUGOTH 'Who pays natural gas for appliances' Columns 130 Question H-3 1 = Household pays 2 = Rent/Fee 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 747 17,900,000 2 10 200,000 9 4,065 88,900,000 FOPAY 'Who pays for fuel oil' Columns 132 Question H-3 1 = Household pays 2 = Rent/Fee 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 434 7,000,000 2 75 1,600,000 9 4,313 98,300,000 LPGPAY 'Who pays for bottled gas' Columns 134 Question H-3 1 = Household pays 2 = Rent/Fee 3 = Paid to third party 4 = Combined household bill 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 488 9,100,000 2 9 Q 3 6 Q 4 1 Q 9 4,318 97,600,000 Q = Data withheld because fewer than 10 observation in the category. DEREG 'Hear about deregulation or customer choice' Columns 136 Question H-4 1 = Yes 0 = No 6 = Don't know Number Weighted Of Number of Value Observations Households 0 2,244 49,900,000 1 2,552 56,500,000 6 26 600,000 DEREGEL 'Are you able to buy electricity from a company' Columns 138 Question H-4a 1 = Yes 0 = No 6 = Don't know 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 1,674 36,900,000 1 639 14,300,000 6 239 5,300,000 9 2,270 50,500,000 BUYDRGEL 'Buy electricity from someone than local company' Columns 140 Question H-4a1 1 = Yes 0 = No 6 = Don't know 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 611 13,700,000 1 26 600,000 6 2 Q 9 4,183 92,700,000 Q = Data withheld because fewer than 10 observation in the category. DEREGNG 'Are you able to buy natural gas from a company' Columns 142 Question H-4b 1 = Yes 0 = No 6 = Don't know 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 1,008 22,900,000 1 409 9,800,000 6 169 3,900,000 8 19 400,000 9 3,217 70,100,000 BUYDRGNG 'Buy natural gas from someone than local company' Columns 144 Question H-4b1 1 = Yes 0 = No 6 = Don't know 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 350 8,200,000 1 56 1,600,000 6 3 Q 9 4,413 97,200,000 Q = Data withheld because fewer than 10 observation in the category. LPGDELV 'Is bottled gas delivered to your home' Columns 146 Question H-5 1 = Yes 0 = No 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 61 1,200,000 1 419 7,700,000 8 24 400,000 9 4,318 97,600,000 NDIFLPCO 'How many co. delivered bottled gas past 12 mon.' Columns 148-149 Question H-5a 0-10 = Number of bottled gas companies 98 = Refused 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 61 1,200,000 1 397 7,400,000 2 19 300,000 3 1 Q 98 26 400,000 99 4,318 97,600,000 Q = Data withheld because fewer than 10 observation in the category. NLPDELNC 'How many deliveries did you get past 12 months' Columns 151-152 Question H-5b 0-25 = Number of bottled gas deliveries 98 = Refused 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 61 1,200,000 1 64 1,300,000 2 67 1,300,000 3 69 1,200,000 4 69 1,300,000 5 33 600,000 6 42 700,000 7 7 Q 8 8 Q 10 5 Q 11 2 Q 12 11 200,000 13 1 Q 18 1 Q 25 1 Q 98 63 1,100,000 99 4,318 97,600,000 Q = Data withheld because fewer than 10 observation in the category. QUANTFO 'How many gallons did you use in past 12 months' Columns 154 Question H-6 1 = Less than 100 gallons 2 = 100 to 499 gallons 3 = 500 to 1,000 gallons 4 = More than 1,000 gallons 6 = Don't know 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 12 200,000 2 91 1,600,000 3 203 3,200,000 4 50 800,000 6 31 600,000 8 122 2,400,000 9 4,313 98,300,000 FODEL 'Is fuel oil delivered to your home' Columns 156 Question H-7 1 = Yes 0 = No 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 10 200,000 1 417 6,700,000 8 82 1,800,000 9 4,313 98,300,000 NDIFFOCO 'How many co. delivered FO to you past 12 months' Columns 158-159 Question H-7a 0-10 = Number of fuel oil companies 98 = Refused 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 10 200,000 1 374 6,100,000 2 37 500,000 3 5 Q 98 83 1,800,000 99 4,313 98,300,000 Q = Data withheld because fewer than 10 observation in the category. NFODELNC 'How many FO deliveries you get past 12 months' Columns 161-162 Question H-7b 0-25 = Number of fuel oil deliveries 98 = Refused 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 10 200,000 1 36 600,000 2 48 800,000 3 57 1,000,000 4 68 1,100,000 5 44 700,000 6 40 600,000 7 23 400,000 8 21 300,000 9 9 Q 10 9 Q 11 2 Q 12 9 Q 13 1 Q 14 3 Q 15 3 Q 20 2 Q 22 1 Q 24 2 Q 25 1 Q 98 120 2,300,000 99 4,313 98,300,000 Q = Data withheld because fewer than 10 observation in the category. KERODEL 'Is kerosene delivered to your home' Columns 164 Question H-8 1 = Yes 0 = No 6 = Don't know 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 103 2,300,000 1 35 600,000 6 1 Q 9 4,683 104,100,000 Q = Data withheld because fewer than 10 observation in the category. NDIFKRCO 'How many co. delivered kerosene to your home' Columns 166-167 Question H-8a 0-10 = Number of kerosene companies 96 = Don't know 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 103 2,300,000 1 33 600,000 2 2 Q 96 1 Q 99 4,683 104,100,000 Q = Data withheld because fewer than 10 observation in the category. KEROCASH 'Do you use cash to buy KR past 12 months' Columns 169 Question H-9 1 = Yes 0 = No 6 = Don't know 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 37 700,000 1 88 2,000,000 6 1 Q 8 13 200,000 9 4,683 104,100,000 Q = Data withheld because fewer than 10 observation in the category. NOCRCASH 'How many times did you buy KR past 12 months' Columns 171-173 Question H-9a 0-100 = Number of times buy kerosene 998 = Refused 999 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 20 400,000 2 10 200,000 3 4 Q 4 10 200,000 5 6 Q 6 5 Q 8 1 Q 9 1 Q 10 5 Q 12 10 200,000 15 2 Q 20 4 Q 26 1 Q 30 2 Q 37 1 Q 40 1 Q 48 1 Q 55 2 Q 60 1 Q 100 1 Q 998 51 1,000,000 999 4,683 104,100,000 Q = Data withheld because fewer than 10 observation in the category. NKRGALNC 'How many gallons did you buy KR and bring home' Columns 175-176 Question H-9b 0-77 = Number of gallons bought each time 98 = Refused 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 9 Q 3 9 Q 5 53 1,200,000 10 10 200,000 15 3 Q 20 2 Q 66 2 Q 98 51 1,000,000 99 4,683 104,100,000 Q = Data withheld because fewer than 10 observation in the category. PRICEKER 'How much per gallon did you pay for kerosene' Columns 178-183 Question H-9c 0-500 = Price in cents per gallon 999600 = Don't Know 999800 = Refused 999900 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 100 3 Q 110 1 Q 115 2 Q 120 2 Q 125 2 Q 130 1 Q 137 1 Q 140 2 Q 145 1 Q 148 1 Q 149 5 Q 150 4 Q 155 1 Q 157 1 Q 159 3 Q 160 5 Q 162 1 Q 165 2 Q 170 4 Q 175 2 Q 176 1 Q 179 1 Q 180 3 Q 189 5 Q 200 8 Q 209 1 Q 219 1 Q 240 1 Q 275 1 Q 300 2 Q 425 1 Q 480 1 Q 500 1 Q 999600 15 300,000 999800 53 1,000,000 999900 4,683 104,100,000 Q = Data withheld because fewer than 10 observation in the category. TOTPAYKR 'How much did you pay for kerosene each time' Columns 185-192 Question H-9d 0-12000 = Amount paid for kerosene each time (in cents) 99999600 = Don't know 99999800 = Refused 99999900 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 179 1 Q 200 2 Q 250 1 Q 471 1 Q 500 5 Q 550 1 Q 600 4 Q 700 3 Q 750 4 Q 795 1 Q 800 7 Q 835 1 Q 850 2 Q 1000 8 Q 1077 1 Q 1200 1 Q 1300 1 Q 1490 1 Q 1500 2 Q 1600 1 Q 1625 1 Q 1900 1 Q 2000 2 Q 2090 1 Q 2100 1 Q 2400 1 Q 2550 1 Q 3000 2 Q 4500 2 Q 5000 1 Q 12000 1 Q 99999600 6 Q 99999800 71 1,400,000 99999900 4,683 104,100,000 Q = Data withheld because fewer than 10 observation in the category. TYPWOOD1 '1st mention what kinds of wood do you burn' Columns 194 Question H-10 1 = Wood logs/split wood 2 = Wood scraps 3 = Wood pellets 4 = Other wood 6 = Refused Number Weighted Of Number of Value Observations Households 1 642 13,200,000 2 35 700,000 3 13 200,000 4 17 300,000 6 2 Q Q = Data withheld because fewer than 10 observation in the category. TYPWOOD2 '2nd mention what kinds of wood do you burn' Columns 196 Question H-10 1 = Wood logs/split wood 2 = Wood scraps 3 = Wood pellets 4 = Other wood Number Weighted Of Number of Value Observations Households 1 7 Q 2 49 1,000,000 3 2 Q 4 7 Q Q = Data withheld because fewer than 10 observation in the category. TYPWOOD3 '3rd mention what kinds of wood do you burn' Columns 198 Question H-10 3 = Wood pellets 4 = Other wood Number Weighted Of Number of Value Observations Households 3 9 Q 4 2 Q Q = Data withheld because fewer than 10 observation in the category. TYPWOOD4 '4th mention what kinds of wood do you burn' Columns 200 Question H-10 4 = Other wood Number Weighted Of Number of Value Observations Households 4 6 Q Q = Data withheld because fewer than 10 observation in the category. WOODLOGS 'Use Wood logs or split wood as a fuel in house' Columns 202 Question H-10 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 60 1,100,000 1 649 13,300,000 9 4,113 92,500,000 WDSCRAP 'Use Wood scraps as a fuel in house' Columns 204 Question H-10 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 625 12,800,000 1 84 1,700,000 9 4,113 92,500,000 WDPELLET 'Use Wood pellets as a fuel in house' Columns 206 Question H-10 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 685 14,000,000 1 24 400,000 9 4,113 92,500,000 CORDS 'Number of cords' Columns 208-211 0-3000 = Number of cords (in units of one hundredth of a cord) Number Weighted Of Number of Value Observations Households 0 4,190 94,100,000 25 266 5,800,000 75 103 2,100,000 100 76 1,600,000 150 39 800,000 200 38 700,000 250 22 400,000 300 4 Q 400 32 600,000 500 19 300,000 600 14 300,000 700 6 Q 800 2 Q 900 1 Q 1000 1 Q 1200 1 Q 1300 1 Q 1400 2 Q 1500 1 Q 2500 1 Q 3000 3 Q Q = Data withheld because fewer than 10 observation in the category. HOWPAID 'How utilities are paid' Columns 213 1 = All paid by household 2 = All included in rent 3 = Some paid, some rent 4 = Other Number Weighted Of Number of Value Observations Households 1 4,268 94,500,000 2 221 4,900,000 3 307 7,100,000 4 26 600,000 HOWPAYEL 'How electricity is paid' Columns 215 1 = All paid by household 2 = All included in rent 3 = Some paid, some rent 4 = Other 9 = No electricity used Number Weighted Of Number of Value Observations Households 1 4,512 100,000,000 2 231 5,100,000 3 58 1,500,000 4 20 400,000 9 1 Q Q = Data withheld because fewer than 10 observation in the category. HOWPAYNG 'How Natural gas is paid' Columns 217 1 = All paid by household 2 = All included in rent 3 = Some paid, some rent 4 = Other 9 = No natural gas used Number Weighted Of Number of Value Observations Households 1 2,567 58,500,000 2 292 6,700,000 3 68 1,500,000 4 12 300,000 9 1,883 40,100,000 HOWPAYLP 'How LPG is paid' Columns 219 1 = All paid by household 2 = All included in rent 4 = Other 9 = No LPG used Number Weighted Of Number of Value Observations Households 1 488 9,100,000 2 9 Q 4 7 Q 9 4,318 97,600,000 Q = Data withheld because fewer than 10 observation in the category. HOWPAYFO 'How fuel oil is paid' Columns 221 1 = All paid by household 2 = All included in rent 9 = No fuel oil used Number Weighted Of Number of Value Observations Households 1 434 7,000,000 2 75 1,600,000 9 4,313 98,300,000 HOWPAYKR 'How kerosene is paid' Columns 223 1 = All paid by household 9 = No kerosene used Number Weighted Of Number of Value Observations Households 1 139 2,900,000 9 4,683 104,100,000