File layout for File 12 (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, 1-97 TO 12-97' Columns 21-24 HDD65 'Heating Degree-Days to base 65, 1-97 TO 12-97' Columns 26-30 TYPEHUQ 'Type of Home: as report by Respondent' Columns 32 Variables in File 12 only. DOLLARKR 'Estimated Kerosene Cost In Dollars' Columns 34-37 DOLLAREL 'Estimated Cost Of Electricity In Dollars' Columns 39-42 DOLLARNG 'Estimated Cost Of Natural Gas In Dollars' Columns 44-47 DOLLARFO 'Estimated Cost Of Fuel Oil In Dollars' Columns 49-52 DOLLARLP 'Estimated Cost Of LPG In Dollars' Columns 54-57 DOLELSPH 'Electric Space Heat Use (Estimated) In Dollars' Columns 59-62 DOLNGSPH 'Natural Gas Space Heat Use (Estimated) In Dollars' Columns 64-67 DOLFOSPH 'Fuel Oil Space Heat Use (Estimated) In Dollars' Columns 69-72 DOLLPSPH 'LPG Space Heat Use (Estimated) In Dollars' Columns 74-77 DOLKRSPH 'Kerosene Space Heat Use (Estimated) In Dollars' Columns 79-82 DOLELWTH 'Electric Water Heating Use (Estimated) In Dollars' Columns 84-86 DOLNGWTH 'Natural Gas Water Heat Use (Estimated) In Dollars' Columns 88-90 DOLFOWTH 'Fuel Oil Water Heat Use (Estimated) In Dollars' Columns 92-94 DOLLPWTH 'LPG Water Heat Use (Estimated) In Dollars' Columns 96-99 DOLKRWTH 'Kerosene Water Heat Use (Estimated) In Dollars' Columns 101-103 DOLELAPL 'Electric Appliance Use (Estimated) In Dollars' Columns 105-108 DOLNGAPL 'Natural Gas Appliance Use (Estimated) In Dollars' Columns 110-112 DOLFOAPL 'Fuel Oil Appliance Use (Estimated) In Dollars' Columns 114-115 DOLLPAPL 'LPG Appliance Use (Estimated) In Dollars' Columns 117-119 DOLKRAPL 'Kerosene Appliance Use (Estimated) In Dollars' Columns 121 DOLELCOL 'Electric AC Use (Estimated) In Dollars' Columns 123-126 DOLNGCOL 'Natural Gas AC Use (Estimated) In Dollars' Columns 128-130 DOLELRFG 'Electric Refrigerator Use (Estimated) In Dollars' Columns 132-135 DOLELFZZ 'Electric Freezer Use (Estimated) In Dollars' Columns 137-139 DOLELCOK 'Electric Cooking Use (Estimated) In Dollars' Columns 141-143 DOLELDWH 'Electric Dishwasher Use (Estimated) In Dollars' Columns 145-147 DOLELCDR 'Electric Clothes Dryer Use (Estimated) In Dollars' Columns 149-151 DOLELLGT 'Electric Lighting Use (Estimated) In Dollars' Columns 153-157 Codebook for File 12 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 12. DOLLARKR 'Estimated Kerosene Cost In Dollars' Columns 34-37 Numerical Variable Variable length 4 DOLLARKR is the cost in dollars of kerosene bought. The amount that the household uses may vary from the amount that they bought. DOLLARKR is based upon one of the following: 1. The respondent's estimate of the dollar amount spent in 12 months prior to the interview. See variables PRICEKER and TOTPAYKR on File 6. 2. Supplier data on the amount sold to the household in 1993. 3. Regression estimate. The variable ORIGKRC on file 10 summarizes the source of the data for DOLLARKR. The variable USEKERO on File 6 can be used to determine if a household uses kerosene. Number of Number of Observations Observations Value Where Where Maximum Minimum of DOLLARKR DOLLARKR Value of Value of USEKERO Is Zero Is Positive DOLLARKR DOLLARKR 0 6,839 0 0 0 1 11 261 1,290 0 The 11 cases where USEKERO equals 1 and DOLLARKR equals 0 occurs when the household uses kerosene but did not report buying kerosene in the 12 months prior to the interview or the supplier reported that they did not deliver kerosene to the household during 1993. DOLLAREL 'Estimated Cost Of Electricity In Dollars' Columns 39-42 Numerical Variable Variable length 4`- DOLLAREL is based upon one of the following: 1. Utility records. 2. Regression estimate. The variable ORIGELC on file 10 summarizes the source of the data for DOLLAREL. The variable USEEL on File 6 can be used to determine if a household uses electricity. Number of Number of Observations Observations Value Where Where Maximum Minimum of DOLLAREL DOLLAREL Value of Value of USEEL Is Zero Is Positive DOLLAREL DOLLAREL 0 3 0 0 0 1 0 7,108 6,071 0 DOLLARNG 'Estimated Cost Of Natural Gas In Dollars' Columns 44-47 Numerical Variable ` Variable length 4 DOLLARNG is based upon one of the following: 1. Utility records. 2. Regression estimate. The variable ORIGNGC on file 10 summarizes the source of the data for DOLLARNG. The variable USENG on File 6 can be used to determine if a household uses Natural gas. Number of Number of Observations Observations Value Where Where Maximum Minimum of DOLLARNG DOLLARNG Value of Value of USENG Is Zero Is Positive DOLLARNG DOLLARNG 0 3,042 0 0 0 1 1 4,068 3,298 0 There was 1 case where USENG = 1 and DOLLARNG = 0. The respondent claimed natural gas was their main space-heating fuel. The utility data for this cases indicates that the natural gas had been shut off for nonpayment. DOLLARFO 'Estimated Cost Of Fuel Oil In Dollars' Columns 49-52 Numerical Variable Variable length 4 DOLLARFO is based upon one of the following: 1. Supplier data on the amount delivered to the household in 1993. 2. Regression estimate. The variable ORIGFOC On file 10 summarizes the source of the data for DOLLARFO. The variable USEFO on File 6 can be used to determine if a household uses kerosene. Number of Number of Observations Observations Value Where Where Maximum Minimum of DOLLARFO DOLLARFO Value of Value of USEFO Is Zero Is Positive DOLLARFO DOLLARFO 0 6,246 0 0 0 1 28 837 2,251 0 The 28 cases where USEFO equals 1 and DOLLARFO equals 0 occurs when the household uses fuel oil but did not report buying fuel oil in the 12 months prior to the interview or the supplier reported that they did not deliver fuel oil to the household during 1993. DOLLARLP 'Estimated Cost Of LPG In Dollars' Columns 54-57 Numerical Variable Variable length 4 DOLLARLP is based upon one of the following: 1. Supplier data on the amount delivered to the household in 1993. 2. Regression estimate. The variable ORIGLPC On file 10 summarizes the source of the data for DOLLARLP. The variable USELP on File 6 can be used to determine if a household uses kerosene. Number of Number of Observations Observations Value Where Where Maximum Minimum of DOLLARLP DOLLARLP Value of Value of USELP Is Zero Is Positive DOLLARLP DOLLARLP 0 6,427 0 0 0 1 25 659 2,095 0 The 25 cases where USELP equals 1 and DOLLARLP equals 0 occurs when the household uses LPG but did not report buying LPG in the 12 months prior to the interview or the supplier reported that they did not deliver LPG to the household during 1993. The remaining variables are estimates of expenditures by end use. For each household that responded to the 1993 RECS, the annual energy expenditures for five end-use categories-- space heating, water heating, air- conditioning, refrigerators, and general appliance usage--were estimated. The end-use estimates were produced for each of the five main energy sources: electricity, natural gas, fuel oil, kerosene, and liquefied petroleum gas (LPG). The end-use expenditures were not based on data produced by placing meters on individual appliances; rather, they were obtained by estimating how much of the total annual expenditures for each energy source can be attributed to each of the end-use categories for each household by using a regression technique. The regression technique was used to first estimate the percent of energy consumption by energy source and end use. Next these percents were used to determine the corresponding amount spent on each end-use by each household. The end-use estimates were normalized so that the sum of the end-use estimates was equal to the actual or imputed yearly expenditures for each energy source used by the household. In particular: DOLLAREL = DOLELSPH + DOLELWTH + DOLELAPL + DOLELCOL + DOLELRFG DOLLARNG = DOLNGSPH + DOLNGWTH + DOLNGAPL + DOLNGCOL DOLLARFO = DOLFOSPH + DOLFOWTH + DOLFOAPL DOLLARLP = DOLLPSPH + DOLLPWTH + DOLLPAPL DOLLARKR = DOLKRSPH + DOLKRWTH + DOLKRAPL For all energy sources, the space-heating component was defined as all energy used to generate heat by space-heating equipment. The equipment could be the main space-heating equipment or secondary space-heating equipment. Hence, for all energy sources, a household could have had a positive amount of energy assigned to the space-heating component even if the energy source was not used as the main space-heating energy source. The component for water heating was defined as all energy used to heat water for hot running water, as well as water heated at point sources (such as stoves or auxiliary water-heating equipment) for bathing, cleaning and other noncooking applications of hot water. Energy used at point sources to heat water for cooking and hot drinks was considered part of the general appliance component, as was energy used to heat water for a swimming pool, hot tub, spa, or Jacuzzi. For electricity, end use estimates were also made for freezers, cooking, dishwashers, and clothes dryers. The estimates are DOLELFRZ, DOLELCOK, DOLELDWH, and DOLELCDR. DOLELAPL also includes these end uses, hence DOLELAPL equals the sum of DOLELFRZ, DOLELCOK, DOLELDWH, and DOLELCDR plus the expenditures for lights and other numerous appliances. The electricity used in refrigerators is not included in DOLELAPL. DOLELAPL includes all electricity expenditures except electricity use for space heating, water heating, air conditioning, and refrigerators. This includes electricity used for freezers, cooking, dishwashers, clothes dryers, lights, TV's, VCR's, stereos, coffee makers, power tools, pool heaters, furnace fans, home computers, and many more uses. DOLELSPH 'Electric Space Heat Use (Estimated) In Dollars' Columns 59-62 Numerical Variable Variable length 4 For the 1993 and subsequent RECS, the electricity regression equation assigned the electricity associated with the operation of fans in any central forced-air heating equipment was assigned to the electricity appliance component and not to the space-heating component. Hence, if ELWARM = 0 then DOLELSPH = 0. Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLELSPH DOLELSPH Value of Value of USEEL ELWARM Is Zero Is Positive DOLELSPH DOLELSPH 0 0 3 0 0 0 1 0 4,331 0 0 0 1 1 1 2,776 1,655 9 There was 1 case where ELWARM = 1 and DOLELSPH = 0. The respondent claimed electricity was their main space-heating fuel. DOLNGSPH 'Natural Gas Space Heat Use (Estimated) In Dollars' Columns 64-67 Numerical Variable Variable length 4 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLNGSPH DOLNGSPH Value of Value of USENG UGWARM Is Zero Is Positive DOLNGSPH DOLNGSPH 0 0 3,042 0 0 0 1 0 445 0 0 0 1 1 2 3,622 2,801 4 DOLFOSPH 'Fuel Oil Space Heat Use (Estimated) In Dollars' Columns 69-72 Numerical Variable Variable length 4 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLFOSPH DOLFOSPH Value of Value of USEFO FOWARM Is Zero Is Positive DOLFOSPH DOLFOSPH 0 0 6,246 0 0 0 1 0 8 0 0 0 1 1 26 831 2,251 28 DOLLPSPH 'LPG Space Heat Use (Estimated) In Dollars' Columns 74-77 Numerical Variable Variable length 4 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLLPSPH DOLLPSPH Value of Value of USELP LPWARM Is Zero Is Positive DOLLPSPH DOLLPSPH 0 0 6,427 0 0 0 1 0 207 0 0 0 1 1 11 466 2,095 13 DOLKRSPH 'Kerosene Space Heat Use (Estimated) In Dollars' Columns 79-82 Numerical Variable Variable length 4 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLKRSPH DOLKRSPH Value of Value of USEKERO KRWARM Is Zero Is Positive DOLKRSPH DOLKRSPH 0 0 6,839 0 0 0 1 0 4 0 0 0 1 1 11 257 1,290 1 DOLELWTH 'Electric Water Heating Use (Estimated) In Dollars' Columns 84-86 Numerical Variable Variable length 3 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLELWTH DOLELWTH Value of Value of USEEL ELWATER Is Zero Is Positive DOLELWTH DOLELWTH 0 0 3 0 0 0 1 0 4,230 0 0 0 1 1 0 2,878 950 14 DOLNGWTH 'Natural Gas Water Heat Use (Estimated) In Dollars' Columns 88-90 Numerical Variable Variable length 3 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLNGWTH DOLNGWTH Value of Value of USENG UGWATER Is Zero Is Positive DOLNGWTH DOLNGWTH 0 0 3,042 0 0 0 1 0 519 0 0 0 1 1 2 3,548 784 15 DOLFOWTH 'Fuel Oil Water Heat Use (Estimated) In Dollars' Columns 92-94 Numerical Variable Variable length 3 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLFOWTH DOLFOWTH Value of Value of USEFO FOWATER Is Zero Is Positive DOLFOWTH DOLFOWTH 0 0 6,246 0 0 0 1 0 467 0 0 0 1 1 13 385 519 23 DOLLPWTH 'LPG Water Heat Use (Estimated) In Dollars' Columns 96-99 Numerical Variable Variable length 4 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLLPWTH DOLLPWTH Value of Value of USELP LPWATER Is Zero Is Positive DOLLPWTH DOLLPWTH 0 0 6,427 0 0 0 1 0 412 0 0 0 1 1 2 270 1,144 27 DOLKRWTH 'Kerosene Water Heat Use (Estimated) In Dollars' Columns 101-103 Numerical Variable Variable length 3 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLKRWTH DOLKRWTH Value of Value of USEKERO KRWATER Is Zero Is Positive DOLKRWTH DOLKRWTH 0 0 6,839 0 0 0 1 0 265 0 0 0 1 1 0 7 196 12 DOLELAPL 'Electric Appliance Use (Estimated) In Dollars' Columns 105-108 Numerical Variable Variable Length 4 Includes DOLELFZZ DOLELCOK DOLELDWH DOLELCDR Number of Number of Observations Observations Value Where Where Maximum Minimum of DOLELAPL DOLELAPL Value of Value of USEEL Is Zero Is Positive DOLELAPL DOLELAPL 0 3 0 0 0 1 0 7,108 4,441 0 DOLNGAPL 'Natural Gas Appliance Use (Estimated) In Dollars' Columns 110-112 Numerical Variable Variable length 3 Number of Number of Observations Observations Value Where Where Maximum Minimum of DOLNGAPL DOLNGAPL Value of Value of USENG Is Zero Is Positive DOLNGAPL DOLNGAPL 0 3,042 0 0 0 1 1,521 2,548 557 0 DOLFOAPL 'Fuel Oil Appliance Use (Estimated) In Dollars' Columns 114-115 Numerical Variable Variable length 2 Number of Number of Observations Observations Value Where Where Maximum Minimum of DOLFOAPL DOLFOAPL Value of Value of USEFO Is Zero Is Positive DOLFOAPL DOLFOAPL 0 6,246 0 0 0 1 863 2 15 0 DOLLPAPL 'LPG Appliance Use (Estimated) In Dollars' Columns 117-119 Numerical Variable Variable length 3 Number of Number of Observations Observations Value Where Where Maximum Minimum of DOLLPAPL DOLLPAPL Value of Value of USELP Is Zero Is Positive DOLLPAPL DOLLPAPL 0 6,427 0 0 0 1 289 395 702 0 DOLKRAPL 'Kerosene Appliance Use (Estimated) In Dollars' Column 121 Numerical Variable Variable length 1 Number of Number of Observations Observations Value Where Where Maximum Minimum of DOLKRAPL DOLKRAPL Value of Value of USEKERO Is Zero Is Positive DOLKRAPL DOLKRAPL 0 6,839 0 0 0 1 272 0 0 0 DOLELCOL 'Electric AC Use (Estimated) In Dollars' Columns 123-126 Numerical Variable Variable length 4 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLELCOL DOLELCOL Value of Value of USEEL AIRCOND Is Zero Is Positive DOLELCOL DOLELCOL 0 0 3 0 0 0 1 0 2,262 0 0 0 1 1 147 4,699 1,591 3 The 147 cases where AIRCOND = 1 yet DOLELCOL = 0 correspond to cases where the household has air-conditioning equipment but reported that the equipment was not used. The electricity air-conditioning component was defined as all electricity associated with (1) electric air-conditioning equipment and (2) fans in any central air-conditioning equipment including natural gas air-conditioning equipment. The regression equations for electricity do not contain specific terms for whole-house fans, window fans, and evaporative (swamp) coolers. Hence, the electricity expenditures to operate these fans and evaporative coolers was not assigned to the air- conditioning component; it was included in the appliance component. There is a term for ceiling fans in the electricity appliance component. In the 1993 RECS, the households that reported that they had air-conditioning equipment but did not use the equipment, were assigned a value of zero for their electricity air-conditioning component. In RECS prior to 1987, these households were assigned small but positive values for their electricity air-conditioning component. DOLNGCOL 'Natural Gas AC Use (Estimated) In Dollars' Columns 128-130 Numerical Variable Variable length 3 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLNGCOL DOLNGCOL Value of Value of USENG AIRCOND Is Zero Is Positive DOLNGCOL DOLNGCOL 0 0 896 0 0 0 0 1 2,146 0 0 0 1 0 1,369 0 0 0 1 1 2,692 8 397 59 The 8 cases where DOLNGCOL was positive correspond to cases where the household claimed that the fuel for the central air-conditioning system was natural gas and no conflicting information was discovered during the editing process. DOLELRFG 'Electric Refrigerator Use (Estimated) In Dollars' Columns 132-135 Numerical Variable Variable length 4 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLELRFG DOLELRFG Value of Value of USEEL NUMFRIG Is Zero Is Positive DOLELRFG DOLELRFG 0 0 2 0 0 0 0 1 1 0 0 0 1 0 8 0 0 0 1 1,2,3 0 7,100 1,059 12 The 1 case where USEEL = 0 and NUMFRIG = 1 corresponds to a case where the household uses LPG but does not use electricity. DOLELFZZ 'Electric Freezer Use (Estimated) In Dollars' Columns 137-139 Numerical Variable Variable Length 3 Is A Subset Of DOLELAPL Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLELFZZ DOLELFZZ Value of Value of USEEL SEPFREEZ Is Zero Is Positive DOLELFZZ DOLELFZZ 0 0 3 0 0 0 1 0 4,595 0 0 0 1 1 0 2,513 513 15 DOLELCOK 'Electric Cooking Use (Estimated) In Dollars' Columns 141-143 Numerical Variable Variable length 3 In order for DOLELCOK to be positive, the household had to have an electric stove or oven (STOVENA = 5, or STOVEA = 5, or OVENA = 5)or the main cooking fuel had to be electricity (FUELFOOD = 5). In addition, the household had to report that they cook hot meals at least once a week or more (NUMMEAL equals 1, 2, 3, 4, or 5) or the households had to report that they used their electric oven once a day or more (OVENUSE = 1 or 2). Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLELCOK DOLELCOK Value of Value of USEEL ELFOOD Is Zero Is Positive DOLELCOK DOLELCOK 0 0 3 0 0 0 1 0 456 0 0 0 1 1 2,099 4,553 281 4 There are 2,099 cases where ELFOOD = 1 yet DOLELCOK = 0. For all cases where ELFOOD = 1, DOLELCOK = 0, and FUELFOOD does not equal 5, the respondent reported that they had a microwave oven (MICRO = 1). DOLELDWH 'Electric Dishwasher Use (Estimated) In Dollars' Columns 145-147 Numerical Variable Variable length 3 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLELDWH DOLELDWH Value of Value of USEEL DISHWASH Is Zero Is Positive DOLELDWH DOLELDWH 0 0 3 0 0 0 1 0 3,777 0 0 0 1 1 0 3,331 195 3 DOLELCDR 'Electric Clothes Dryer Use (Estimated) In Dollars' Columns 149-151 Numerical Variable Variable length 3 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLELCDR DOLELCDR Value of Value of USEEL ELDRYER Is Zero Is Positive DOLELCDR DOLELCDR 0 0 3 0 0 0 1 0 2,910 0 0 0 1 1 0 4,198 404 9 DOLELLGT 'Electric Lighting Use (Estimated) In Dollars' Columns 153-157 Numerical Variable Variable length 5 Number of Number of Observations Observations Value Where Where Maximum Minimum of DOLELLGT DOLELLGT Value of Value of USEEL Is Zero Is Positive DOLELLGT DOLELLGT 0 3 0 0 0 1 0 7,108 1,649 0