File layout for File Section 4 (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 Section 4 only. FUELHEAT 'Main fuel used for heating home' Columns 34-35 DNTHEAT 'Have any heating equipment, Use it or not' Columns 37 ZDNTHEAT 'Imputation Flag for DNTHEAT' Columns 39 FUELHTPS 'Fuel that could be used to heat home' Columns 41-42 EQUIPM 'Type of heating equipment provides the heat' Columns 44-45 ZEQUIPM 'Imputation Flag for EQUIPM' Columns 47 EQUIPAGE 'How old is equipment identified in D-2 heat system'Columns 49-50 ZEQUIPAG 'Imputation Flag for EQUIPAGE' Columns 52 HEATOTH 'Main heating system also heat other apartments' Columns 54 ZHEATOTH 'Imputation Flag for HEATOTH' Columns 56 EQUIPAUX 'Use any other types of equipment to heat home' Columns 58 ZEQUIPAU 'Imputation Flag for EQUIPAUX' Columns 60 REVERSE 'Sec Ht Eqp Heat pump' Columns 62 WARMAIR 'Sec Ht Eqp Central warm-air furnace with ducts' Columns 64 STEAMR 'Sec Ht Eqp Steam system with radiators/convectors' Columns 66 PERMELEC 'Sec Ht Eqp Built-in electric units in each room' Columns 68 PIPELESS 'Sec Ht Eqp Built-in floor/wall pipeless furnace' Columns 70 ROOMHEAT 'Sec Ht Eqp Built-in room heater burning' Columns 72 WOODKILN 'Sec Ht Eqp Heating stove burning wood, coal, coke' Columns 74 CARRYEL 'Sec Ht Eqp Portable electric heaters' Columns 76 CARRYKER 'Sec Ht Eqp Portable kerosene heaters' Columns 78 CHIMNEY 'Sec Ht Eqp Fireplace' Columns 80 RANGE 'Sec Ht Eqp Cooking stove' Columns 82 DIFEQUIP 'Sec Ht Eqp Some other equipment' Columns 84 DKEQUIP 'Sec Ht Eqp Don't know' Columns 86 ELECAUX 'Secondary heating fuel - Electricity' Columns 88 UGASAUX 'Secondary heating fuel - Natural Gas' Columns 90 LPGAUX 'Secondary heating fuel - LPG' Columns 92 FOILAUX 'Secondary heating fuel - Fuel Oil' Columns 94 KEROAUX 'Secondary heating fuel - Kerosene' Columns 96 WOODAUX 'Secondary heating fuel - Wood' Columns 98 SOLARAUX 'Secondary heating fuel - Solar' Columns 100 OTHERAUX 'Secondary heating fuel - Other' Columns 102 DKAUX 'Secondary heating fuel - Don't know' Columns 104 FURNFUEL 'What fuel used in secondary warm air furnace' Columns 106-107 RADFUEL 'What fuel used in secondary boiler for radiator' Columns 109-110 DIFFUEL 'What fuel used in secondary other equipment' Columns 112-113 PIPEFUEL 'What fuel used in secondary pipelines furnace' Columns 115-116 RMHTFUEL 'What fuel used in secondary room heater' Columns 118-119 HSFUEL 'What fuel used in secondary heating stove' Columns 121-122 FPFUEL 'What fuel used in secondary fireplace' Columns 124-125 NGFPFLUE 'Does this fireplace have a flue to the outside' Columns 127 USENGFP 'During the winter how often use gas fireplace' Columns 129 RNGFUEL 'What fuel used in secondary cooking stove' Columns 131 EQMAMT 'How much heat main heating equipment provides' Columns 133 ACTSOLAR 'Does your solar heating system require pump or fan'Columns 135 THERMAIN 'Have a thermostat controls main heating equipment' Columns 137 PROTHERM 'Is that thermostat programmable' Columns 139 ZPROTHER 'Imputation Flag for PROTHERM' Columns 141 TEMPHOME 'Setting During the day when someone is home' Columns 143-144 TEMPGONE 'Setting During the day when no one is home' Columns 146-147 TEMPNITE 'Setting During sleeping hours' Columns 149-150 HEATROOM 'Did you heat all rooms last winter' Columns 152 ZHEATROO 'Imputation Flag for HEATROOM' Columns 154 HEATNOT 'How many of rooms were not heated last winter' Columns 156-157 ZHEATNOT 'Imputation Flag for HEATNOT' Columns 159 OTHNOHT 'Any other spaces were not heated last winter' Columns 161 ZOTHNOHT 'Imputation Flag for OTHNOHT' Columns 163 OTHSPAC1 'First other space not heated' Columns 165-166 OTHSPAC2 'Second other space not heated' Columns 168-169 Codebook for File section 4 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. FUELHEAT 'Main fuel used for heating home' Columns 34-35 Question D-1 1 = Natural gas from underground pipes 2 = Bottled gas (LPG or propane) 3 = Fuel oil 4 = Kerosene 5 = Electricity 7 = Wood 8 = Solar 9 = District steam 10 = Coal 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 2,599 59,100,000 2 267 4,900,000 3 478 8,000,000 4 42 800,000 5 1,264 30,900,000 7 108 2,000,000 8 2 Q 9 7 Q 10 3 Q 99 52 1,000,000 Q = Data withheld because fewer than 10 observation in the category. DNTHEAT 'Have any heating equipment, Use it or not' Columns 37 Question D-1a 1 = Have equipment, but don't use it 2 = Don't have any heating equipment 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 20 400,000 2 32 500,000 9 4,770 106,000,000 ZDNTHEAT 'Imputation Flag for DNTHEAT' Columns 39 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. FUELHTPS 'Fuel that could be used to heat home' Columns 41-42 1 = Natural gas from underground pipes 2 = Bottled gas (LPG or propane) 3 = Fuel oil 5 = Electricity 7 = Wood 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,770 106,000,000 1 10 200,000 2 1 Q 3 1 Q 5 7 Q 7 1 Q 99 32 500,000 Q = Data withheld because fewer than 10 observation in the category. EQUIPM 'Type of heating equipment provides the heat' Columns 44-45 Question D-2 4 = Heat pump 3 = Central warm-air furnace with ducts 2 = Steam/hot water system with radiators 5 = Built-in electric units installed in walls 6 = Built-in floor/wall pipeless furnace 7 = Built-in heater burning gas, oil, kerosene 8 = Heating stove burning wood, coal, coke 10 = Portable electric heaters 11 = Portable kerosene heaters 9 = Fireplace 12 = Cooking stove used to heat and cook 14 = Geothermal heat pump 21 = Equipment not listed 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 2 688 13,000,000 3 2,824 64,700,000 4 399 10,400,000 5 297 6,100,000 6 164 3,600,000 7 217 4,400,000 8 80 1,500,000 9 24 500,000 10 59 1,400,000 11 11 300,000 12 23 500,000 14 3 Q 21 1 Q 99 32 500,000 Q = Data withheld because fewer than 10 observation in the category. ZEQUIPM 'Imputation Flag for EQUIPM' Columns 47 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,802 106,600,000 1 20 400,000 EQUIPAGE 'How old is equipment identified in D-2 heat system'Columns 49-50 Question D-3 1 = Less than 2 years old 2 = 2 to 4 years old 3 = 5 to 9 years old 4 = 10 to 19 years old 5 = 20 years or older 96 = Don't know 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 392 8,700,000 2 590 13,400,000 3 914 21,500,000 4 1,083 24,200,000 5 1,257 26,600,000 96 554 12,000,000 99 32 500,000 ZEQUIPAG 'Imputation Flag for EQUIPAGE' Columns 52 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,807 106,600,000 1 15 300,000 HEATOTH 'Main heating system also heat other apartments' Columns 54 Question D-4 1 = Yes 0 = No 6 = Don't know 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,458 99,200,000 1 331 7,200,000 6 1 Q 9 32 500,000 Q = Data withheld because fewer than 10 observation in the category. ZHEATOTH 'Imputation Flag for HEATOTH' Columns 56 0 = Not Imputed 2 = EIA Imputed Number Weighted Of Number of Value Observations Households 0 4,800 106,500,000 2 22 500,000 EQUIPAUX 'Use any other types of equipment to heat home' Columns 58 Question D-5 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 3,181 72,500,000 1 1,609 34,000,000 9 32 500,000 ZEQUIPAU 'Imputation Flag for EQUIPAUX' Columns 60 0 = Not Imputed 2 = EIA Imputed Number Weighted Of Number of Value Observations Households 0 4,816 106,900,000 2 6 Q Q = Data withheld because fewer than 10 observation in the category. REVERSE 'Sec Ht Eqp Heat pump' Columns 62 Question D-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,737 105,300,000 1 53 1,200,000 9 32 500,000 WARMAIR 'Sec Ht Eqp Central warm-air furnace with ducts' Columns 64 Question D-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,701 104,700,000 1 89 1,800,000 9 32 500,000 STEAMR 'Sec Ht Eqp Steam system with radiators/convectors' Columns 66 Question D-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,783 106,300,000 1 7 Q 9 32 500,000 Q = Data withheld because fewer than 10 observation in the category. PERMELEC 'Sec Ht Eqp Built-in electric units in each room' Columns 68 Question D-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,671 104,000,000 1 119 2,400,000 9 32 500,000 PIPELESS 'Sec Ht Eqp Built-in floor/wall pipeless furnace' Columns 70 Question D-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,771 106,100,000 1 19 400,000 9 32 500,000 ROOMHEAT 'Sec Ht Eqp Built-in room heater burning' Columns 72 Question D-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,680 104,300,000 1 110 2,200,000 9 32 500,000 WOODKILN 'Sec Ht Eqp Heating stove burning wood, coal, coke' Columns 74 Question D-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,613 103,400,000 1 177 3,100,000 9 32 500,000 CARRYEL 'Sec Ht Eqp Portable electric heaters' Columns 76 Question D-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,225 94,600,000 1 565 11,900,000 9 32 500,000 CARRYEL 'Portable electric heaters' Columns 76 Question D-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households CARRYKER 'Sec Ht Eqp Portable kerosene heaters' Columns 78 Question D-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,709 104,700,000 1 81 1,800,000 9 32 500,000 CHIMNEY 'Sec Ht Eqp Fireplace' Columns 80 Question D-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,197 93,100,000 1 593 13,400,000 9 32 500,000 RANGE 'Sec Ht Eqp Cooking stove' Columns 82 Question D-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,756 105,700,000 1 34 700,000 9 32 500,000 DIFEQUIP 'Sec Ht Eqp Some other equipment' Columns 84 Question D-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,760 105,900,000 1 30 500,000 9 32 500,000 DKEQUIP 'Sec Ht Eqp Don't know' Columns 86 Question D-5a 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,790 106,500,000 9 32 500,000 ELECAUX 'Secondary heating fuel - Electricity' Columns 88 Question D-5a1 0 = No 1 = Yes 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,041 90,700,000 1 749 15,800,000 9 32 500,000 UGASAUX 'Secondary heating fuel - Natural Gas' Columns 90 Question D-5a1 0 = No 1 = Yes 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,553 100,900,000 1 237 5,600,000 9 32 500,000 LPGAUX 'Secondary heating fuel - LPG' Columns 92 Question D-5a1 0 = No 1 = Yes 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,681 104,400,000 1 109 2,000,000 9 32 500,000 FOILAUX 'Secondary heating fuel - Fuel Oil' Columns 94 Question D-5a1 0 = No 1 = Yes 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,767 106,000,000 1 23 500,000 9 32 500,000 KEROAUX 'Secondary heating fuel - Kerosene' Columns 96 Question D-5a1 0 = No 1 = Yes 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,702 104,600,000 1 88 1,900,000 9 32 500,000 WOODAUX 'Secondary heating fuel - Wood' Columns 98 Question D-5a1 0 = No 1 = Yes 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,190 94,000,000 1 600 12,400,000 9 32 500,000 SOLARAUX 'Secondary heating fuel - Solar' Columns 100 Question D-5a1 0 = No 1 = Yes 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,771 106,200,000 1 19 300,000 9 32 500,000 OTHERAUX 'Secondary heating fuel - Other' Columns 102 Question D-5a1 0 = No 1 = Yes 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,789 106,400,000 1 1 Q 9 32 500,000 Q = Data withheld because fewer than 10 observation in the category. DKAUX 'Secondary heating fuel - Don't know' Columns 104 Question D-5a1 0 = No 1 = Yes 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,790 106,500,000 9 32 500,000 FURNFUEL 'What fuel used in secondary warm air furnace' Columns 106-107 Question D-5a1 1 = Natural gas from underground pipes 2 = Bottled gas (LPG or propane) 3 = Fuel oil 5 = Electricity 7 = Wood 10 = Coal 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 35 700,000 2 16 300,000 3 12 200,000 5 17 400,000 7 7 Q 10 2 Q 99 4,733 105,200,000 Q = Data withheld because fewer than 10 observation in the category. RADFUEL 'What fuel used in secondary boiler for radiator' Columns 109-110 Question D-5a1 1 = Natural gas from underground pipes 2 = Bottled gas (LPG or propane) 3 = Fuel oil 5 = Electricity 7 = Wood 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 1 Q 2 1 Q 3 2 Q 5 2 Q 7 1 Q 99 4,815 106,800,000 Q = Data withheld because fewer than 10 observation in the category. DIFFUEL 'What fuel used in secondary other equipment' Columns 112-113 Question D-5a1 3 = Fuel oil 5 = Electricity 7 = Wood 8 = Solar 21 = Other 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 3 1 Q 5 2 Q 7 7 Q 8 19 300,000 21 1 Q 99 4,792 106,400,000 Q = Data withheld because fewer than 10 observation in the category. PIPEFUEL 'What fuel used in secondary pipelines furnace' Columns 115-116 Question D-5a2 1 = Natural gas from underground pipes 2 = Bottled gas (LPG or propane) 4 = Kerosene 5 = Electricity 7 = Wood 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 7 Q 2 9 Q 4 1 Q 5 1 Q 7 1 Q 99 4,803 106,600,000 Q = Data withheld because fewer than 10 observation in the category. RMHTFUEL 'What fuel used in secondary room heater' Columns 118-119 Question D-5a3 1 = Natural gas from underground pipes 2 = Bottled gas (LPG or propane) 3 = Fuel oil 4 = Kerosene 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 48 1,000,000 2 48 900,000 3 8 Q 4 6 Q 99 4,712 104,800,000 Q = Data withheld because fewer than 10 observation in the category. HSFUEL 'What fuel used in secondary heating stove' Columns 121-122 Question D-5a3 7 = Wood 10 = Coal 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 7 173 3,000,000 10 4 Q 99 4,645 103,900,000 Q = Data withheld because fewer than 10 observation in the category. FPFUEL 'What fuel used in secondary fireplace' Columns 124-125 Question D-5a5 1 = Natural gas from underground pipes 2 = Bottled gas (LPG or propane) 7 = Wood 10 = Coal 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 127 3,300,000 2 35 700,000 7 428 9,400,000 10 3 Q 99 4,229 93,600,000 Q = Data withheld because fewer than 10 observation in the category. NGFPFLUE 'Does this fireplace have a flue to the outside' Columns 127 Question D-5a5a 1 = Flue to the outside 2 = Flueless 6 = Don't know 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 117 2,800,000 2 35 900,000 6 10 200,000 9 4,660 103,100,000 USENGFP 'During the winter how often use gas fireplace' Columns 129 Question D-5a5b 1 = Most days 2 = About once a week 3 = Fewer than 4 times each month 6 = Don't know 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 60 1,300,000 2 42 1,100,000 3 50 1,200,000 6 10 200,000 9 4,660 103,100,000 RNGFUEL 'What fuel used in secondary cooking stove' Columns 131 Question D-5a6 1 = Natural gas from underground pipes 2 = Bottled gas (LPG or propane) 5 = Electricity 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 23 500,000 2 5 Q 5 6 Q 9 4,788 106,200,000 EQMAMT 'How much heat main heating equipment provides' Columns 133 Question D-6 1 = Almost all 2 = About three-fourths 3 = Close to half of all your heat 6 = Don't know 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 4,312 96,900,000 2 221 4,300,000 3 185 3,700,000 6 72 1,500,000 9 32 500,000 ACTSOLAR 'Does your solar heating system require pump or fan' Columns 135 Question D-7 0 = No 1 = Yes 6 = Don't know 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 6 Q 1 1 Q 6 14 200,000 9 4,801 106,700,000 Q = Data withheld because fewer than 10 observation in the category. THERMAIN 'Have a thermostat controls main heating equipment' Columns 137 Question D-7 0 = No 1 = Yes 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 678 14,800,000 1 4,112 91,600,000 9 32 500,000 PROTHERM 'Is that thermostat programmable' Columns 139 Question D-8a 0 = No 1 = Yes 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 3,018 66,500,000 1 1,094 25,100,000 9 710 15,400,000 ZPROTHER 'Imputation Flag for PROTHERM' Columns 141 0 = Not Imputed 2 = EIA Imputed Number Weighted Of Number of Value Observations Households 0 4,811 106,700,000 2 11 200,000 TEMPHOME 'Setting During the day when someone is home' Columns 143-144 Question D-9a 40-94 = Temp when someone home 95 = Heat turned off 96 = Don't know 97 = Did not live in unit last winter 98 = Refused 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 40 1 Q 50 8 Q 55 11 200,000 56 1 Q 57 1 Q 58 7 Q 59 2 Q 60 99 2,000,000 62 44 800,000 63 24 500,000 64 35 700,000 65 311 6,300,000 66 60 1,400,000 67 75 1,600,000 68 913 19,300,000 69 119 2,700,000 70 1,171 25,700,000 71 66 1,600,000 72 558 13,100,000 73 78 1,800,000 74 106 2,500,000 75 353 8,400,000 76 66 1,500,000 77 16 400,000 78 143 3,400,000 79 10 300,000 80 84 1,900,000 81 1 Q 82 2 Q 84 1 Q 85 4 Q 90 2 Q 94 2 Q 95 95 2,200,000 96 123 2,800,000 97 189 4,400,000 98 9 Q 99 32 500,000 Q = Data withheld because fewer than 10 observation in the category. TEMPGONE 'Setting During the day when no one is home' Columns 146-147 Question D-9b 40-94 = Enter degrees Fahrenheit 95 = Heat turned off 96 = Don't know 97 = Did not live in unit last winter 98 = Refused 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 40 16 400,000 45 3 Q 49 1 Q 50 88 1,800,000 51 1 Q 53 2 Q 55 112 2,500,000 56 3 Q 57 2 Q 58 31 600,000 59 7 Q 60 430 8,900,000 61 6 Q 62 105 2,100,000 63 40 800,000 64 83 1,700,000 65 617 13,400,000 66 85 2,000,000 67 54 1,200,000 68 722 15,800,000 69 89 2,100,000 70 692 15,200,000 71 22 500,000 72 318 7,300,000 73 42 1,000,000 74 54 1,300,000 75 183 4,800,000 76 34 800,000 77 8 Q 78 67 1,600,000 79 4 Q 80 38 900,000 81 1 Q 82 1 Q 84 1 Q 85 1 Q 90 2 Q 94 2 Q 95 468 10,700,000 96 157 3,600,000 97 189 4,400,000 98 9 Q 99 32 500,000 Q = Data withheld because fewer than 10 observation in the category. TEMPNITE 'Setting During sleeping hours' Columns 149-150 Question D-9c 40-94 = Night temp 95 = Heat turned off 96 = Don't know 97 = Did not live in unit last winter 98 = Refused 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 40 8 Q 45 2 Q 50 46 900,000 51 1 Q 54 2 Q 55 97 2,100,000 56 6 Q 57 1 Q 58 43 900,000 59 7 Q 60 376 7,800,000 61 5 Q 62 119 2,300,000 63 37 700,000 64 95 1,800,000 65 640 13,300,000 66 91 2,200,000 67 66 1,400,000 68 805 17,600,000 69 83 2,000,000 70 784 17,500,000 71 25 700,000 72 327 7,700,000 73 46 1,100,000 74 52 1,200,000 75 207 5,400,000 76 35 800,000 77 11 300,000 78 76 1,800,000 79 4 Q 80 54 1,300,000 84 1 Q 85 2 Q 90 1 Q 94 2 Q 95 314 7,300,000 96 121 2,700,000 97 189 4,400,000 98 9 Q 99 32 500,000 Q = Data withheld because fewer than 10 observation in the category. HEATROOM 'Did you heat all rooms last winter' Columns 152 Question D-10 0 = No 1 = Yes 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 936 20,800,000 1 3,854 85,700,000 9 32 500,000 ZHEATROO 'Imputation Flag for HEATROOM' Columns 154 0 = Not Imputed 2 = EIA Imputed Number Weighted Of Number of Value Observations Households 0 4,633 102,600,000 2 189 4,400,000 HEATNOT 'How many of rooms were not heated last winter' Columns 156-157 Question D-10a 0-23 = Number of rooms not heated 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 3,854 85,700,000 1 282 6,100,000 2 299 6,500,000 3 187 4,300,000 4 89 2,000,000 5 44 1,000,000 6 24 600,000 7 4 Q 8 5 Q 9 1 Q 13 1 Q 99 32 500,000 Q = Data withheld because fewer than 10 observation in the category. ZHEATNOT 'Imputation Flag for HEATNOT' Columns 159 0 = Not Imputed 2 = EIA Imputed Number Weighted Of Number of Value Observations Households 0 4,633 102,600,000 2 189 4,400,000 Q = Data withheld because fewer than 10 observation in the category. OTHNOHT 'Any other spaces were not heated last winter' Columns 161 Question D-10d 0 = No 1 = Yes 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 4,750 105,600,000 1 40 900,000 9 32 500,000 ZOTHNOHT 'Imputation Flag for OTHNOHT' Columns 163 0 = Not Imputed 2 = EIA Imputed Number Weighted Of Number of Value Observations Households 0 4,781 106,100,000 2 41 900,000 OTHSPAC1 'First other space not heated' Columns 165-166 Question D-10b1 1 = Unfinished rooms/storage rooms 2 = Laundry room 3 = Foyer/mud room/entryway/vestibule 95 = Other 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 14 300,000 2 16 400,000 3 9 Q 95 1 Q 99 4,782 106,100,000 Q = Data withheld because fewer than 10 observation in the category. OTHSPAC2 'Second other space not heated' Columns 168-169 Question D-10b1 98 = Refused 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 98 40 900,000 99 4,782 106,100,000