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 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 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 84-87 DOLNGWTH 'Natural Gas Water Heat Use (Estimated) In Dollars'Columns 89-92 DOLFOWTH 'Fuel Oil Water Heat Use (Estimated) In Dollars' Columns 94-97 DOLLPWTH 'LPG Water Heat Use (Estimated) In Dollars' Columns 99-102 DOLKRWTH 'Kerosene Water Heat Use (Estimated) In Dollars' Columns 104-106 DOLELAPL 'Electric Appliance Use (Estimated) In Dollars' Columns 108-111 DOLNGAPL 'Natural Gas Appliance Use (Estimated) In Dollars' Columns 113-116 DOLFOAPL 'Fuel Oil Appliance Use (Estimated) In Dollars' Columns 118-119 DOLLPAPL 'LPG Appliance Use (Estimated) In Dollars' Columns 121-124 DOLKRAPL 'Kerosene Appliance Use (Estimated) In Dollars' Columns 126-129 DOLELCOL 'Electric AC Use (Estimated) In Dollars' Columns 131-134 DOLELRFG 'Electric Refrigerator Use (Estimated) In Dollars' Columns 136-138 DOLELFZZ 'Electric Freezer Use (Estimated) In Dollars' Columns 140-142 DOLELDWH 'Electric Dishwasher Use (Estimated) In Dollars' Columns 144-146 DOLELCDR 'Electric Clothes Dryer Use (Estimated) In Dollars'Columns 148-150 Codebook for File 12 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 12 only. 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 2001. 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 4683 0 0 0 1 0 159 1101 1 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 1 0 0 0 1 1 4820 4755 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 1883 0 0 0 1 1 2938 5385 0 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 2001. 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 4313 0 0 0 1 6 503 2476 0 The 6 cases where USEFO equals 1 and DOLLARFO equals 0 occur 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 2001. 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 2001. 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 4813 0 0 0 1 6 498 3822 0 The 6 cases where USELP equals 1 and DOLLARLP equals 0 occur 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 2001. The remaining variables are estimates of expenditures by end use. For each household that responded to the 2001 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, dishwashers, and clothes dryers. The estimates are DOLELFRZ, DOLELDWH, and DOLELCDR. DOLELAPL also includes these end uses, hence DOLELAPL equals the sum of DOLELFRZ, 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 1987 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 1 0 0 0 1 0 2921 0 0 0 1 1 13 1997 1867 0 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 1883 0 0 0 1 0 264 0 0 0 1 1 11 2664 4454 0 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 4313 0 0 0 1 0 9 0 0 0 1 1 7 493 2337 0 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 4318 0 0 0 1 0 149 0 0 0 1 1 6 349 2996 0 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 4683 0 0 0 1 0 10 0 0 0 1 1 0 129 1101 2 DOLELWTH 'Electric Water Heating Use (Estimated) In Dollars' Columns 84-87 Numerical Variable Variable length 4 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 1 0 0 0 1 0 2972 0 0 0 1 1 38 1811 1251 0 DOLNGWTH 'Natural Gas Water Heat Use (Estimated) In Dollars' Columns 89-92 Numerical Variable Variable length 4 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 1883 0 0 0 1 0 389 0 0 0 1 1 0 2550 1450 14 DOLFOWTH 'Fuel Oil Water Heat Use (Estimated) In Dollars' Columns 94-97 Numerical Variable Variable length 4 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 4313 0 0 0 1 0 277 0 0 0 1 1 3 279 953 0 DOLLPWTH 'LPG Water Heat Use (Estimated) In Dollars' Columns 99-102 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 4318 0 0 0 1 0 343 0 0 0 1 1 0 161 717 17 DOLKRWTH 'Kerosene Water Heat Use (Estimated) In Dollars' Columns 104-106 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 4683 0 0 0 1 0 134 0 0 0 1 1 0 5 251 52 DOLELAPL 'Electric Appliance Use (Estimated) In Dollars' Columns 108-111 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 1 0 0 0 1 1 4820 3009 0 DOLNGAPL 'Natural Gas Appliance Use (Estimated) In Dollars' Columns 113-116 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 1883 0 0 0 1 1096 1843 1198 0 DOLFOAPL 'Fuel Oil Appliance Use (Estimated) In Dollars' Columns 118-119 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 4313 0 0 0 1 508 1 1 0 All four cases where DOLFOAPL was positive correspond to cases where fuel oil was used to heat water for a hot tub, spa, or Jacuzzi. DOLLPAPL 'LPG Appliance Use (Estimated) In Dollars' Columns 121-124 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 4318 0 0 0 1 193 311 3822 0 DOLKRAPL 'Kerosene Appliance Use (Estimated) In Dollars' Column 126-129 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 4683 0 0 0 1 120 10 600 0 DOLELCOL 'Electric AC Use (Estimated) In Dollars' Columns 131-134 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 1 0 0 0 1 0 1270 0 0 0 1 1 87 3464 1580 0 DOLELRFG 'Electric Refrigerator Use (Estimated) In Dollars' Columns 136-138 Numerical Variable Variable length 3 The one case where USEEL = 0 and NUMFRIG = 1 corresponds to a case where the household uses kerosene but does not use electricity. 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 2 1 0 0 0 1 0 8 0 0 0 1 1 2 3974 638 0 1 2 0 783 757 20 1 3 0 54 921 114 DOLELFZZ 'Electric Freezer Use (Estimated) In Dollars' Columns 140-142 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 1 0 0 0 1 0 3155 0 0 0 1 1 124 1542 546 0 DOLELDWH 'Electric Dishwasher Use (Estimated) In Dollars' Columns 144-146 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 1 0 0 0 1 0 2335 0 0 0 1 1 397 2089 273 0 DOLELCDR 'Electric Clothes Dryer Use (Estimated) In Dollars' Columns 148-150 Numerical Variable Variable length 3 The 122 cases where the household has an electric dryer yet DOLELCDR = 0 correspond to cases where the household reported that they used their dryer infrequently (DRYRUSE = 3). Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of DOLELCDR DOLELCDR Value of Value of USEEL DRYRFUEL Is Zero Is Positive DOLELCDR DOLELCDR 0 0 1 0 0 0 1 0 2006 0 0 0 1 1 122 2693 525 0