File layout for File 11 (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, 1-97 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 11 only. GALLONKR 'Gallons Of Kerosene Bought' Columns 34-36 BTUKER 'Annual Kerosene Use In Thousands Of BTU' Columns 38-43 KWH 'Kilowatt Hours Of Electricity Used' Columns 45-49 BTUEL 'Electric Annual Use In Thousands Of BTU' Columns 51-56 CUFEETNG 'CCFS (Hundred Cubic Feet) Of Natural Gas' Columns 58-61 BTUNG 'Natural Gas Annual Use In Thousands Of BTU' Columns 63-68 GALLONFO 'Gallons Of Fuel Oil Bought' Columns 70-73 BTUFO 'Fuel Oil Annual Use In Thousands Of BTU' Columns 75-80 GALLONLP 'Gallons Of LPG Bought' Columns 82-85 BTULP 'LPG Annual Use In Thousands Of BTU' Columns 87-92 BTUELSPH 'Electric Space Heat Use (Estimated) Columns 94-99 BTUNGSPH 'Natural Gas Space Heat Use (Estimated) Columns 101-106 BTUFOSPH 'Fuel Oil Space Heat Use (Estimated) Columns 108-113 BTULPSPH 'LPG Space Heat Use (Estimated) Columns 115-120 BTUKRSPH 'Kerosene Space Heat Use (Estimated) Columns 122-127 BTUELWTH 'Electric Water Heat Use (Estimated) Columns 129-133 BTUNGWTH 'Natural Gas Water Heat Use (Estimated) Columns 135-140 BTUFOWTH 'Fuel Oil Water Heat Use (Estimated) Columns 142-147 BTULPWTH 'LPG Water Heat Use (Estimated) Columns 149-153 BTUKRWTH 'Kerosene Water Heat Use (Estimated) Columns 155-159 BTUELAPL 'Electric Appliance Use (Estimated) Columns 161-166 BTUNGAPL 'Natural Gas Appliance Use (Estimated) Columns 168-173 BTUFOAPL 'Fuel Oil Appliance Use (Estimated) Columns 175-178 BTULPAPL 'LPG Appliance Use (Estimated) Columns 180-184 BTUKRAPL 'Kerosene Appliance Use (Estimated) Columns 186 BTUELCOL 'Electric AC Use (Estimated) Columns 188-192 BTUNGCOL 'Natural Gas AC Use (Estimated) Columns 194-197 BTUELRFG 'Electric Refrigerator Use (Estimated) Columns 199-203 BTUELFZZ 'Electric Freezer Use (Estimated) Columns 205-209 BTUELCOK 'Electric Cooking Use (Estimated) Columns 211-214 BTUELDWH 'Electric Dishwasher Use (Estimated) Columns 216-219 BTUELCDR 'Electric Dryer Use (Estimated) Columns 221-225 Codebook for File 11 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: 6,903 NWEIGHT 'The Final Weight' Columns 6-11 Included in all files Numerical Variable Variable length: 6 Minimum Value: 3,841 Maximum Value: 79,878 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 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 1 173 3,400,000 2 8 Q 7 1 Q 8 12 200,000 9 5,706 97,600,000 Q = Data withheld because fewer than 10 observation in the category. When MQRESULT equals 1 or 2, 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 1,332 19,700,000 2 1,234 24,100,000 3 1,979 35,900,000 4 1,355 21,800,000 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 1 490 5,300,000 2 842 14,400,000 3 783 16,900,000 4 451 7,200,000 5 871 18,700,000 6 527 6,300,000 7 581 10,800,000 8 466 6,200,000 9 889 15,600,000 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 4,258 70,300,000 1 399 6,800,000 2 609 11,500,000 3 369 7,000,000 4 265 5,900,000 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, 1-97 TO 12-97' Columns 21-24 Included in all files Numerical Variable Variable length 4 Minimum Value: 0 Maximum Value: 5,954 HDD65 'Heating Degree-Days to base 65, 1-97 TO 12-97' Columns 26-30 Included in all files Numerical Variable Variable length 5 Minimum Value: 0 Maximum Value: 11,672 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-2B) different than RECS93 Variable was constructed form responses to questions A-2A, A-2B, A-5, and A-9 Imputed for Nonresponse 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 collection and editing of the data on housing type changed from the paper-and-pencil questionnaire for the 1993 RECS to the CAPI questionnaire for the 1997 RECS. The change in the data collection and editing procedures may have contributed to changes in the survey results. For example, the estimated number of occupied single-family attached units increased from 7.3 million for the 1993 RECS to 10.0 million for the 1997 RECS. Conversely, the number of occupied housing units in buildings with two to four units decreased from 8.0 million for the 1993 RECS to 5.6 million for the 1997 RECS. 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 1 402 6,300,000 2 3,661 63,800,000 3 552 9,900,000 4 351 5,600,000 5 934 15,800,000 The remaining variables a present only in File 11. GALLONKR 'Gallons Of Kerosene Bought' Columns 34-36 Numerical Variable Variable Length 3 GALLONKR is the amount of kerosene bought. The amount that the household uses may vary from the amount that they bought. GALLONKR is based upon one of the following: 1. The respondent's estimate of the amount purchased in 12 months prior to the interview. See variables KEROCASH, NOKRCASH, and NKRGALNC on File 6. 2. Supplier data on the amount delivered to the household in 1997. 3. Regression estimate. The variable ORIGKERQ on file 10 summarizes the source of the data for GALLONKR. 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 GALLONKR GALLONKR Value of Value of USEKERO Is Zero Is Positive GALLONKR GALLONKR 0 5,671 0 0 0 1 11 218 978 0 The 11 cases where USEKERO equals 1 and GALLONKR equals 0 occur 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 1997. BTUKER 'Annual Kerosene Use In Thousands Of BTU' Columns 38-43 Numerical Variable Variable Length 6 Conversion factor for converting gallons of kerosene (GALLONKR) into thousands of BTU: One gallon of kerosene = 135,000 Btu BTUKER = GALLONKR x 135.0 Number of Number of Observations Observations Value Where Where Maximum Minimum of BTUKER BTUKER Value of Value of USEKERO Is Zero Is Positive BTUKER BTUKER 0 5,671 0 0 0 1 11 218 132,030 0 KWH 'Kilowatt Hours Of Electricity Used' Columns 45-49 Numerical Variable Variable Length 5 KWH is based upon one of the following: 1. Utility records. 2. Regression estimate. The variable ORIGELQ on file 10 summarizes the source of the data for KWH. 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 KWH KWH Value of Value of USEEL Is Zero Is Positive KWH KWH 0 2 0 0 0 1 5,898 5,898 92,332 10 BTUEL 'Electric Annual Use In Thousands Of BTU' Columns 51-56 Numerical Variable Variable Length 6 Conversion factor for converting kWh's of electricity (KWH) into thousands of BTU: One kWh of electricity = 3,412 Btu BTUEL = KWH x 3.412 Number of Number of Observations Observations Value Where Where Maximum Minimum of BTUEL BTUEL Value of Value of USEEL Is Zero Is Positive BTUEL BTUEL 0 2 0 0 0 1 0 5,898 315,037 34 CUFEETNG 'CCFS (Hundred Cubic Feet) Of Natural Gas' Columns 58-61 Numerical Variable Variable Length 4 CUFEETNG is based upon one of the following: 1. Utility records. 2. Regression estimate. The variable ORIGNGQ on file 10 summarizes the source of the data for CUFEETNG. 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 CUFEETNG CUFEETNG Value of Value of USENG Is Zero Is Positive CUFEETNG CUFEETNG 0 2,429 0 0 0 1 3 3,468 5,025 0 There are 3 cases where USENG = 1 and CUFEETNG = 0. All three respondents claimed natural gas was their main space-heating fuel. The utility data for two of the cases indicated that the natural gas had been shut off for nonpayment. For the third case, utility data indicates that the household used natural gas prior to December 1996 and after January 1998, but did not use natural gas from December 1996 through January 1998. BTUNG 'Natural Gas Annual Use In Thousands Of BTU' Columns 63-68 Numerical Variable Variable Length 6 Conversion factor for converting hundreds of cubic feet of natural gas (CUFEETNG) into thousands of BTU: One cubic foot of natural gas = 1,027 Btu BTUNG = CUFEETNG x 102.7 Number of Number of Observations Observations Value Where Where Maximum Minimum of BTUNG BTUNG Value of Value of USENG Is Zero Is Positive BTUNG BTUNG 0 2,429 0 0 0 1 3 3,468 516,067 0 GALLONFO 'Gallons Of Fuel Oil Bought' Columns 70-73 Numerical Variable Variable Length 4 GALLONFO is based upon one of the following: 1. Supplier data on the amount delivered to the household in 1997. 2. Regression estimate. The variable ORIGFOQ On file 10 summarizes the source of the data for GALLONFO. 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 GALLONFO GALLONFO Value of Value of USEFO Is Zero Is Positive GALLONFO GALLONFO 0 5,190 0 0 0 1 14 696 3,328 0 The 14 cases where USEFO equals 1 and GALLONFO 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 1997. BTUFO 'Fuel Oil Annual Use In Thousands Of BTU' Columns 75-80 Numerical Variable Variable Length 6 For Converting Gallons Into Thousands OF BTU, the Following Conversion Factors Were Multiplied Times Gallons: 138.690 For Fuel Oil NO. 2 135.000 For Fuel Oil NO. 1 Number of Number of Observations Observations Value Where Where Maximum Minimum of BTUFO BTUFO Value of Value of USEFO Is Zero Is Positive BTUFO BTUFO 0 5,190 0 0 0 1 14 696 461,593 0 GALLONLP 'Gallons Of LPG Bought' Columns 82-85 Numerical Variable Variable Length 4 GALLONLP is based upon one of the following: 1. Supplier data on the amount delivered to the household in 1997. 2. Regression estimate. The variable ORIGLPQ On file 10 summarizes the source of the data for GALLONLP. 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 GALLONLP GALLONLP Value of Value of USELP Is Zero Is Positive GALLONLP GALLONLP 0 5,361 0 0 0 1 25 514 3,285 0 The 25 cases where USELP equals 1 and GALLONLP 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 1997. BTULP 'LPG Annual Use In Thousands Of BTU' Columns 87-92 Numerical Variable Variable Length 6 Conversion Factor: 91.33 Thousand Btu Per Gallon Number of Number of Observations Observations Value Where Where Maximum Minimum of GALLONLP GALLONLP Value of Value of USELP Is Zero Is Positive GALLONLP GALLONLP 0 5,361 0 0 0 1 25 514 300,019 0 The remaining variables are estimates of consumption by end use. For each household that responded to the 1997 RECS, the annual amount of energy used for five end-use categories-- space heating, water heating, air- conditioning, refrigerators, and general appliance usage--was 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 amounts were not based on data produced by placing meters on individual appliances; rather, they were obtained by estimating how much of the total annual consumption for each energy source can be attributed to each of the end-use categories for each household by using a regression technique. The end-use estimates were normalized so that the sum of the end-use estimates was equal to the actual or imputed yearly consumption for each energy source used by the household. In particular: BTUEL = BTUELSPH + BTUELWTH + BTUELAPL + BTUELCOL + BTUELRFG BTUNG = BTUNGSPH + BTUNGWTH + BTUNGAPL + BTUNGCOL BTUFO = BTUFOSPH + BTUFOWTH + BTUFOAPL BTULP = BTULPSPH + BTULPWTH + BTULPAPL BTUKER = BTUKRSPH + BTUKRWTH + BTUKRAPL 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 BTUELFRZ, BTUELCOK, BTUELDWH, and BTUELCDR. BTUELAPL also includes these end uses, hence BTUELAPL equals the sum of BTUELFRZ, BTUELCOK, BTUELDWH, and BTUELCDR plus the consumption for lights and other numerous appliances. The electricity used in refrigerators is not included in BTUELAPL. BTUELAPL includes all electricity consumption 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. BTUELSPH 'Electric Space Heat Use (Estimated) Columns 94-99 In 1,000's Of BTU' Numerical Variable Variable Length 6 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 BTUELSPH = 0. Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUELSPH BTUELSPH Value of Value of USEEL ELWARM Is Zero Is Positive BTUELSPH BTUELSPH 0 0 2 0 0 0 1 0 3,504 0 0 0 1 1 0 2,394 120,115 9 BTUNGSPH 'Natural Gas Space Heat Use (Estimated) Columns 101-106 1,000's of BTU' Numerical Variable Variable Length 6 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUNGSPH BTUNGSPH Value of Value of USENG UGWARM Is Zero Is Positive BTUNGSPH BTUNGSPH 0 0 2,429 0 0 0 1 0 462 0 0 0 1 1 3 3,006 496,246 0 BTUFOSPH 'Fuel Oil Space Heat Use (Estimated) Columns 108-113 1,000's of BTU' Numerical Variable Variable Length 6 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUFOSPH BTUFOSPH Value of Value of USEFO FOWARM Is Zero Is Positive BTUFOSPH BTUFOSPH 0 0 5,190 0 0 0 1 0 9 0 0 0 1 1 13 688 418,428 0 BTULPSPH 'LPG Space Heat Use (Estimated) Columns 115-120 In 1,000's Of BTU' Numerical Variable Variable Length 6 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTULPSPH BTULPSPH Value of Value of USELP LPWARM Is Zero Is Positive BTULPSPH BTULPSPH 0 0 5,361 0 0 0 1 0 170 0 0 0 1 1 8 361 247,322 0 BTUKRSPH 'Kerosene Space Heat Use (Estimated) Columns 122-127 In 1,000's Of BTU' Numerical Variable Variable Length 6 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUKRSPH BTUKRSPH Value of Value of USEKERO KRWARM Is Zero Is Positive BTUKRSPH BTUKRSPH 0 0 5,671 0 0 0 1 0 1 0 0 0 1 1 10 218 132,030 0 BTUELWTH 'Electric Water Heat Use (Estimated) Columns 129-133 In 1,000's Of BTU' Numerical Variable Variable Length 5 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUELWTH BTUELWTH Value of Value of USEEL ELWATER Is Zero Is Positive BTUELWTH BTUELWTH 0 0 2 0 0 0 1 0 3,509 0 0 0 1 1 0 2,389 39,452 239 BTUNGWTH 'Natural Gas Water Heat Use (Estimated) Columns 135-140 In 1,000 Of BTU' Numerical Variable Variable Length 6 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUNGWTH BTUNGWTH Value of Value of USENG UGWATER Is Zero Is Positive BTUNGWTH BTUNGWTH 0 0 2,429 0 0 0 1 0 559 0 0 0 1 1 2 2,910 203,038 0 BTUFOWTH 'Fuel Oil Water Heat Use (Estimated) Columns 142-147 In 1,000's Of BTU' Numerical Variable Variable Length 6 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUFOWTH BTUFOWTH Value of Value of USEFO FOWATER Is Zero Is Positive BTUFOWTH BTUFOWTH 0 0 5,190 0 0 0 1 0 326 0 0 0 1 1 2 382 127,595 0 BTULPWTH 'LPG Water Heat Use (Estimated) Columns 149-153 In 1,000 Of BTU' Numerical Variable Variable Length 5 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTULPWTH BTULPWTH Value of Value of USELP LPWATER Is Zero Is Positive BTULPWTH BTULPWTH 0 0 5,361 0 0 0 1 0 326 0 0 0 1 1 6 207 82,629 0 BTUKRWTH 'Kerosene Water Heat Use (Estimated) Columns 155-159 In 1,000 Of BTU' Numerical Variable Variable Length 5 Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUKRWTH BTUKRWTH Value of Value of USEKERO KRWATER Is Zero Is Positive BTUKRWTH BTUKRWTH 0 0 5,671 0 0 0 1 0 227 0 0 0 1 1 1 1 22,904 0 BTUELAPL 'Electric Appliance Use (Estimated) Columns 161-166 In 1,000 Of BTU' Numerical Variable Variable Length 6 Includes BTUELFZZ BTUELCOK BTUELDWH BTUELCDR Number of Number of Observations Observations Value Where Where Maximum Minimum of BTUELAPL BTUELAPL Value of Value of USEEL Is Zero Is Positive BTUELAPL BTUELAPL 0 2 0 0 0 1 0 5,898 104,064 21 BTUNGAPL 'Natural Gas Appliance Use (Estimated) Columns 168-173 In 1,000's Of BTU' Numerical Variable Variable Length 6 Number of Number of Observations Observations Value Where Where Maximum Minimum of BTUNGAPL BTUNGAPL Value of Value of USENG Is Zero Is Positive BTUNGAPL BTUNGAPL 0 2,429 0 0 0 1 1,208 2,263 100,674 0 BTUFOAPL 'Fuel Oil Appliance Use (Estimated) Columns 175-178 In 1,000's Of BTU' Numerical Variable Variable Length 4 Number of Number of Observations Observations Value Where Where Maximum Minimum of BTUFOAPL BTUFOAPL Value of Value of USEFO Is Zero Is Positive BTUFOAPL BTUFOAPL 0 5,190 0 0 0 1 706 4 2,231 0 All four cases where BTUFOAPL was positive correspond to cases where fuel oil was used to heat water for a hot tub, spa, or Jacuzzi. BTULPAPL 'LPG Appliance Use (Estimated) Columns 180-184 In Thousands Of BTU' Numerical Variable Variable Length 5 Number of Number of Observations Observations Value Where Where Maximum Minimum of BTULPAPL BTULPAPL Value of Value of USELP Is Zero Is Positive BTULPAPL BTULPAPL 0 5,361 0 0 0 1 236 303 46,413 0 BTUKRAPL 'Kerosene Appliance Use (Estimated) Columns 186 In Thousands Of BTU' Numerical Variable Variable Length 1 Number of Number of Observations Observations Value Where Where Maximum Minimum of BTUKRAPL BTUKRAPL Value of Value of USEKERO Is Zero Is Positive BTUKRAPL BTUKRAPL 0 5,671 0 0 0 1 229 0 0 0 BTUELCOL 'Electric AC Use (Estimated) Columns 188-192 In 1,000's Of BTU' Numerical Variable Variable Length 5 The cases where AIRCOND = 1 yet BTUELCOL = 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 consumption of electricity 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 1997 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. Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUELCOL BTUELCOL Value of Value of USEEL AIRCOND Is Zero Is Positive BTUELCOL BTUELCOL 0 0 2 0 0 0 1 0 1,823 0 0 0 1 1 58 4,017 44,218 0 BTUNGCOL 'Natural Gas AC Use (Estimated) Columns 194-197 In 1,000's Of BTU' Numerical Variable Variable Length 4 The two cases where BTUNGCOL 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. Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUNGCOL BTUNGCOL Value of Value of USENG AIRCOND Is Zero Is Positive BTUNGCOL BTUNGCOL 0 0 698 0 0 0 0 1 1,731 0 0 0 1 0 1,127 0 0 0 1 1 2,342 2 9,060 0 BTUELRFG 'Electric Refrigerator Use (Estimated) Columns 199-203 In Thousands Of BTU' Numerical Variable Variable Length 5 The one case where USEEL = 0 and NUMFRIG = 1 corresponds to a case where the household uses LPG but does not use electricity. Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUELRFG BTUELRFG Value of Value of USEEL NUMFRIG Is Zero Is Positive BTUELRFG BTUELRFG 0 0 1 0 0 0 0 1 1 0 0 0 1 0 9 0 0 0 1 1,2,3 0 5,889 43,222 13 BTUELFZZ 'Electric Freezer Use (Estimated) Columns 205-209 In 1,000's Of BTU' Numerical Variable Variable Length 5 Is a subset Of BTUELAPL Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUELFZZ BTUELFZZ Value of Value of USEEL SEPFREEZ Is Zero Is Positive BTUELFZZ BTUELFZZ 0 0 2 0 0 0 1 0 3,917 0 0 0 1 1 0 1,981 39,148 71 BTUELCOK 'Electric Cooking Use (Estimated) Columns 211-214 In 1,000's Of BTU' Numerical Variable Variable Length 4 Is a subset Of BTUELAPL In order for BTUELCOK 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). There are 1,581 cases where ELFOOD = 1 yet BTUELCOK = 0. Of these, there were 120 cases where FUELFOOD = 5 (electricity). For all of these 120 cases, NUMMEAL equals 0 (Doesn't Cook/Never Cooks) or NUMMEAL equals 6 (Cooks Less Than Once a Week). For all cases where ELFOOD = 1, BTUELCOK = 0, and FUELFOOD does not equal 5, the respondent reported that they had a microwave oven (MICRO = 1). Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUELCOK BTUELCOK Value of Value of USEEL ELFOOD Is Zero Is Positive BTUELCOK BTUELCOK 0 0 2 0 0 0 1 0 569 0 0 0 1 1 1,581 3,748 8,658 0 BTUELDWH 'Electric Dishwasher Use (Estimated) Columns 216-219 In 1,000's Of BTU' Numerical Variable Variable Length 4 Is a subset Of BTUELAPL Number of Number of Observations Observations Value Value Where Where Maximum Minimum of of BTUELDWH BTUELDWH Value of Value of USEEL DISHWASH Is Zero Is Positive BTUELDWH BTUELDWH 0 0 2 0 0 0 1 0 3,179 0 0 0 1 1 0 2,719 8,348 31 BTUELCDR 'Electric Dryer Use (Estimated) Columns 221-225 In Thousands Of BTU' Numerical Variable Variable Length 5 Is a subset Of BTUELAPL The 119 cases where the household has an electric dryer yet BTUELCDR = 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 BTUELCDR BTUELCDR Value of Value of USEEL DRYRFUEL Is Zero Is Positive BTUELCDR BTUELCDR 0 Not 5 2 0 0 0 1 Not 5 2,672 0 0 0 1 5 119 3,107 20,094 0