File layout for File 5 (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 5 only. FUELH2O 'Main Water Heating Fuel' Columns 34-35 ZFUELH2O 'Imputation Flag for FUELH2O' Columns 37 WHEATOTH 'Hot Water System Heats Other Units' Columns 39 ZWHEATOT 'Imputation Flag for WHEATOTH' Columns 41 WHEATSIZ 'Size Of Water Heater Tank' Columns 43 ZWHEATSI 'Imputation Flag for WHEATSIZ' Columns 45 WHEATAGE 'Age Of Hot Water Heater' Columns 47-48 ZWHEATAG 'Imputation Flag for WHEATAGE' Columns 50 UAUXH2OF 'Use Auxiliary Water Heating Fuel' Columns 52 ZUAUXH2O 'Imputation Flag for UAUXH2OF' Columns 54 FAUXH2O 'Auxiliary Water Heating Fuel' Columns 56-57 SHOWERS 'Number Of Baths Per Week' Columns 59 ZSHOWERS 'Imputation Flag for SHOWERS' Columns 61 AIRCOND 'Have Air-Conditioning Equipment' Columns 63 ZAIRCOND 'Imputation Flag for AIRCOND' Columns 65 COOLTYPE 'Type Of Air-Conditioning Equipment' Columns 67 ZCOOLTYP 'Imputation Flag for COOLTYPE' Columns 69 ACDUCTS 'Home Has Ducts' Columns 71 ZACDUCTS 'Imputation Flag for ACDUCTS' Columns 73 ACHOUSE 'Portion Of House Cooled' Columns 75 ZACHOUSE 'Imputation Flag for ACHOUSE' Columns 77 ACROOMS 'Rooms Cooled Last Summer' Columns 79-80 ZACROOMS 'Imputation Flag for ACROOMS' Columns 82 CENACHP 'Central Air Heat Pump' Columns 84 ZCENACHP 'Imputation Flag for CENACHP' Columns 86 AGECENAC 'Age Of Central A/C Equipment' Columns 88-89 ZAGECENA 'Imputation Flag for AGECENAC' Columns 91 USECENAC 'How Central Air Used' Columns 93 ZUSECENA 'Imputation Flag for USECENAC' Columns 95 AUTOCOOL 'How Thermostat Used For AC' Columns 97 ZAUTOCOO 'Imputation Flag for AUTOCOOL' Columns 99 ACOTHERS 'A/C Equipment Cools Other Units' Columns 101 ZACOTHER 'Imputation Flag for ACOTHERS' Columns 103 NUMBERAC 'Number Of Window/Wall AC Units' Columns 105-106 ANYWWHP 'Window/Wall Units Are Heat Pump' Columns 108 ZANYWWHP 'Imputation Flag for ANYWWHP' Columns 110 WWHTPUMP 'Number Of Window/Wall AC Heat Pumps' Columns 112-113 WWACAGE 'Age Of Most Used A/C Unit' Columns 115-116 ZWWACAGE 'Imputation Flag for WWACAGE' Columns 118 USEWWAC 'How Window/Wall A/C Used' Columns 120 ZUSEWWAC 'Imputation Flag for USEWWAC' Columns 122 TREESHAD 'Trees Shade Home' Columns 124 ZTREESHA 'Imputation Flag for TREESHAD' Columns 126 LGT12 'Number Lights On 12+ Hours per Day' Columns 128-129 ZLGT12 'Imputation Flag for LGT12' Columns 131 OUTLGTNT 'Outdoor Lights On All Night' Columns 133 ZOUTLGTN 'Imputation Flag for OUTLGTNT' Columns 135 GASLIGHT 'Use Outdoor Gas Light' Columns 137 ZGASLIGH 'Imputation Flag for GASLIGHT' Columns 139 SLDDRS 'Sliding Glass Doors' Columns 141 ZSLDDRS 'Imputation Flag for SLDDRS' Columns 143 DOOR1SUM 'Number Of Sliding Glass Doors' Columns 145-146 ZDOOR1SU 'Imputation Flag for DOOR1SUM' Columns 148 WINDOWS 'Number Of Windows In Home' Columns 150-151 ZWINDOWS 'Imputation Flag for WINDOWS' Columns 153 ADQINSUL 'How Well Insulated Is Home' Columns 155 ZADQINSU 'Imputation Flag for ADQINSUL' Columns 157 Codebook for File 5 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 5. FUELH2O 'Main Water Heating Fuel' Columns 34-35 Categorical Variable Variable Length 2 Question E-1 Question different than RECS93 Coal/Coke Missing From RECS 97 Answer Options Imputed For Nonresponse 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 21 = Some Other Fuel 95 = Don't Use Hot Water Number Weighted Of Number of Value Observations Households 1 2,903 52,600,000 2 209 3,200,000 3 379 5,100,000 4 2 Q 5 2,356 39,600,000 7 5 Q 8 20 400,000 9 8 Q 21 7 Q 95 11 200,000 Q = Data withheld because fewer than 10 observation in the category. ZFUELH2O 'Imputation Flag for FUELH2O' Columns 37 Categorical Variable Variable length 1 0 = FUELH2O not imputed 1 = FUELH2O imputed Number Weighted Of Number of Value Observations Households 0 5,774 99,500,000 1 126 2,000,000 WHEATOTH 'Hot Water System Heats Other Units' Columns 39 Categorical Variable Variable Length 1 Question E-2 Question same as RECS93 Imputed For Nonresponse 0 = No 1 = Yes 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 5,260 91,100,000 1 629 10,300,000 9 11 200,000 ZWHEATOT 'Imputation Flag for WHEATOTH' Columns 41 Categorical Variable Variable length 1 0 = WHEATOTH not imputed 1 = WHEATOTH imputed Number Weighted Of Number of Value Observations Households 0 5,873 101,000,000 1 27 400,000 WHEATSIZ 'Size Of Water Heater Tank' Columns 43 Categorical Variable Variable Length 1 Question E-3 Question same as RECS93 Imputed For Nonresponse 0 = Don't Have A Separate Water Heater 1 = Small (30 Gallons Or Less) 2 = Medium (31 TO 49 Gallons) 3 = Large(50 Gallons Or More) 5 = Two Separate Water Heaters 6 = Don't Know 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 513 8,100,000 1 940 15,700,000 2 2,737 48,000,000 3 1,322 23,500,000 5 26 500,000 6 351 5,600,000 9 11 200,000 ZWHEATSI 'Imputation Flag for WHEATSIZ' Columns 45 Categorical Variable Variable length 1 0 = WHEATSIZ not imputed 1 = WHEATSIZ imputed Number Weighted Of Number of Value Observations Households 0 5,896 101,400,000 1 4 Q Q = Data withheld because fewer than 10 observation in the category. WHEATAGE 'Age Of Hot Water Heater' Columns 47-48 Categorical Variable Variable Length 2 Question E-4 Question same as RECS93 Imputed For Nonresponse 0 = Don't Have Separate Water Heater 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 6 = As Old As the Home (If Volunteered) 96 = Don't Know 99 = Not Applicable Number Weighted Of Number of Value Observations Households 0 513 8,100,000 1 693 11,900,000 2 1,053 18,100,000 3 1,460 26,400,000 4 1,234 21,400,000 5 481 7,900,000 96 455 7,600,000 99 11 200,000 ZWHEATAG 'Imputation Flag for WHEATAGE' Columns 50 Categorical Variable Variable length 1 0 = WHEATAGE not imputed 1 = WHEATAGE imputed Number Weighted Of Number of Value Observations Households 0 5,539 95,800,000 1 361 5,700,000 UAUXH2OF 'Use Auxiliary Water Heating Fuel' Columns 52 Categorical Variable Variable Length 1 Question E-5A Question different than RECS93 RECS 97 Excludes 'Washing Or Bathing' Reference Imputed For Nonresponse 0 = No 1 = Yes 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 5,822 100,200,000 1 67 1,100,000 9 11 200,000 ZUAUXH2O 'Imputation Flag for UAUXH2OF' Columns 54 Categorical Variable Variable length 1 0 = UAUXH2OF not imputed 1 = UAUXH2OF imputed Number Weighted Of Number of Value Observations Households 0 5,891 101,300,000 1 9 Q Q = Data withheld because fewer than 10 observation in the category. FAUXH2O 'Auxiliary Water Heating Fuel' Columns 56-57 Categorical Variable Variable Length 2 Question E-5B Question different than RECS93 Coal/Coke Missing From RECS 97 Answer Options 1 = Natural Gas From Underground Pipes 2 = Bottled Gas (LPG or propane) 3 = Fuel Oil 4 = Kerosene 5 = Electricity 7 = Wood 8 = Solar 21 = Some Other Fuel 99 = Not Applicable Number Weighted Of Number of Value Observations Households 1 9 Q 2 4 Q 3 5 Q 5 33 600,000 7 9 Q 8 6 Q 21 1 Q 99 5,833 100,400,000 Q = Data withheld because fewer than 10 observation in the category. SHOWERS 'Number Of Baths Per Week' Columns 59 Categorical Variable Variable Length 1 Question E-6 Question same as RECS93 Imputed For Nonresponse 1 = Fewer Than 10 2 = 10-20 3 = More Than 20 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 1,628 28,300,000 2 2,720 46,700,000 3 1,541 26,400,000 9 11 200,000 ZSHOWERS 'Imputation Flag for SHOWERS' Columns 61 Categorical Variable Variable length 1 0 = SHOWERS not imputed 1 = SHOWERS imputed Number Weighted Of Number of Value Observations Households 0 5,899 101,500,000 1 1 Q Q = Data withheld because fewer than 10 observation in the category. AIRCOND 'Have Air-Conditioning Equipment' Columns 63 Categorical Variable Variable Length 1 Question F-1 Question different than RECS93 Asked AS Separate Q. In RECS 97 Imputed For Nonresponse 0 = No 1 = Yes Number Weighted Of Number of Value Observations Households 0 1,825 27,900,000 1 4,075 73,600,000 ZAIRCOND 'Imputation Flag for AIRCOND' Columns 65 Categorical Variable Variable length 1 0 = AIRCOND not imputed 1 = AIRCOND imputed Number Weighted Of Number of Value Observations Households 0 5,898 101,400,000 1 2 Q Q = Data withheld because fewer than 10 observation in the category. COOLTYPE 'Type Of Air-Conditioning Equipment' Columns 67 Categorical Variable Variable Length 1 Question F-2A Question first Used in 1997 RECS 1 = Central System 2 = Individual Units 3 = Both Central And Units 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 2,440 47,100,000 2 1,591 25,800,000 3 44 700,000 9 1,825 27,900,000 ZCOOLTYP 'Imputation Flag for COOLTYPE' Columns 69 Categorical Variable Variable length 1 0 = COOLTYPE not imputed 1 = COOLTYPE imputed Number Weighted Of Number of Value Observations Households 0 5,897 101,400,000 1 3 Q Q = Data withheld because fewer than 10 observation in the category. ACDUCTS 'Home Has Ducts' Columns 71 Categorical Variable Variable Length 1 Question F-2B Question first Used in 1997 RECS Imputed For Nonresponse 0 = No 1 = Yes 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 29 500,000 1 164 2,800,000 9 5,707 98,200,000 ZACDUCTS 'Imputation Flag for ACDUCTS' Columns 73 Categorical Variable Variable length 1 0 = ACDUCTS not imputed 1 = ACDUCTS imputed Number Weighted Of Number of Value Observations Households 0 5,874 101,100,000 1 26 400,000 ACHOUSE 'Portion Of House Cooled' Columns 75 Categorical Variable Variable Length 1 Question F-3A Question same as RECS93 Imputed For Nonresponse 0 = None Of the Rooms 1 = All the Rooms 2 = Some Of the Rooms 3 = Did Not Live Here Last Summer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 27 400,000 1 2,406 44,600,000 2 1,244 20,800,000 3 392 7,600,000 9 1,831 28,100,000 ZACHOUSE 'Imputation Flag for ACHOUSE' Columns 77 Categorical Variable Variable length 1 0 = ACHOUSE not imputed 1 = ACHOUSE imputed Number Weighted Of Number of Value Observations Households 0 5,874 101,000,000 1 26 500,000 ACROOMS 'Rooms Cooled Last Summer' Columns 79-80 Numerical Variable Variable Length 2 Question F-3B Question same as RECS93 Imputed For Nonresponse 99 = Not Applicable (Corresponds to ACHOUSE = 3) Number Weighted Of Number of Value Observations Households 0 1,858 28,500,000 1 352 5,600,000 2 338 5,400,000 3 421 7,500,000 4 582 10,100,000 5 616 11,400,000 6 536 9,800,000 7 407 7,700,000 8 231 4,400,000 9 100 2,100,000 10 40 800,000 11 15 300,000 12 6 Q 13 2 Q 14 3 Q 15 1 Q 99 392 7,600,000 Q = Data withheld because fewer than 10 observation in the category. ZACROOMS 'Imputation Flag for ACROOMS' Columns 82 Categorical Variable Variable length 1 0 = ACROOMS not imputed 1 = ACROOMS imputed Number Weighted Of Number of Value Observations Households 0 5,880 101,100,000 1 20 400,000 CENACHP 'Central Air Heat Pump' Columns 84 Categorical Variable Variable Length 1 Question F-4B Question same as RECS93 Imputed For Nonresponse 0 = No 1 = Yes 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 1,902 36,400,000 1 544 10,700,000 9 3,454 54,400,000 ZCENACHP 'Imputation Flag for CENACHP' Columns 86 Categorical Variable Variable length 1 0 = CENACHP not imputed 1 = CENACHP imputed Number Weighted Of Number of Value Observations Households 0 5,897 101,400,000 1 3 Q Q = Data withheld because fewer than 10 observation in the category. AGECENAC 'Age Of Central A/C Equipment' Columns 88-89 Categorical Variable Variable Length 2 Question F-5 Question same as RECS93 Imputed For Nonresponse 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 = Not Applicable Number Weighted Of Number of Value Observations Households 1 309 5,900,000 2 379 7,200,000 3 706 14,300,000 4 675 13,100,000 5 247 4,300,000 96 168 3,000,000 99 3,416 53,700,000 ZAGECENA 'Imputation Flag for AGECENAC' Columns 91 Categorical Variable Variable length 1 0 = AGECENAC not imputed 1 = AGECENAC imputed Number Weighted Of Number of Value Observations Households 0 5,882 101,200,000 1 18 300,000 USECENAC 'How Central Air Used' Columns 93 Categorical Variable Variable Length 1 Question F-6A Question same as RECS93 Imputed For Nonresponse 0 = Not Used At All 1 = Few Days Or Nights When Really Needed 2 = Quite A Bit 3 = About All Summer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 22 300,000 1 660 12,400,000 2 533 10,400,000 3 1,269 24,600,000 9 3,416 53,700,000 ZUSECENA 'Imputation Flag for USECENAC' Columns 95 Categorical Variable Variable length 1 0 = USECENAC not imputed 1 = USECENAC imputed Number Weighted Of Number of Value Observations Households 0 5,593 95,200,000 1 307 6,200,000 AUTOCOOL 'How Thermostat Used For AC' Columns 97 Categorical Variable Variable Length 1 Question F-6B Question first Used in 1997 RECS Imputed For Nonresponse 1 = Use the Programming Features 2 = Use the Manual Controls 3 = Use Separate Thermostat For AC 4 = Set-Back Thermostat Used Only For Heating 5 = Both Manual Controls And Programming Used 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 241 4,900,000 2 700 13,500,000 3 16 300,000 4 8 Q 5 2 Q 9 4,933 82,600,000 Q = Data withheld because fewer than 10 observation in the category. ZAUTOCOO 'Imputation Flag for AUTOCOOL' Columns 99 Categorical Variable Variable length 1 0 = AUTOCOOL not imputed 1 = autocool imputed Number Weighted Of Number of Value Observations Households 0 5,771 98,900,000 1 129 2,500,000 ACOTHERS 'A/C Equipment Cools Other Units' Columns 101 Categorical Variable Variable Length 1 Question F-7 Question same as RECS93 Imputed For Nonresponse 0 = No 1 = Yes 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 2,433 47,000,000 1 51 800,000 9 3,416 53,700,000 ZACOTHER 'Imputation Flag for ACOTHERS' Columns 103 Categorical Variable Variable length 1 0 = ACOTHERS not imputed 1 = ACOTHERS imputed Number Weighted Of Number of Value Observations Households 0 5,895 101,400,000 1 5 Q Q = Data withheld because fewer than 10 observation in the category. NUMBERAC 'Number Of Window/Wall AC Units' Columns 105-106 Categorical Variable Variable Length 2 Question F-8 Question same as RECS93 0 = None/Not Applicable 1 = One 2 = Two 3 = Three 4 = Four 5 = Five 6 = Six 7 = Seven Number Weighted Of Number of Value Observations Households 0 4,265 75,000,000 1 999 15,900,000 2 453 7,500,000 3 119 2,000,000 4 51 900,000 5 10 200,000 6 2 Q 7 1 Q Q = Data withheld because fewer than 10 observation in the category. ANYWWHP 'Window/Wall Units Are Heat Pump' Columns 108 Categorical Variable Variable Length 1 Question F-9A Question first Used in 1997 RECS Imputed For Nonresponse 0 = No 1 = Yes 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 1,593 25,900,000 1 42 600,000 9 4,265 75,000,000 ZANYWWHP 'Imputation Flag for ANYWWHP' Columns 110 Categorical Variable Variable length 1 0 = ANYWWHP not imputed 1 = ANYWWHP imputed Number Weighted Of Number of Value Observations Households 0 5,890 101,300,000 1 10 200,000 WWHTPUMP 'Number Of Window/Wall AC Heat Pumps' Columns 112-113 Categorical Variable Variable Length 2 Question F-9B Question different than RECS97 Imputed For Nonresponse 0 = None 1 = One 2 = Two 3 = Three 5 = Five Number Weighted Of Number of Value Observations Households 0 5,858 100,900,000 1 38 500,000 2 1 Q 3 1 Q 5 2 Q Q = Data withheld because fewer than 10 observation in the category. WWACAGE 'Age Of Most Used A/C Unit' Columns 115-116 Categorical Variable Variable Length 2 Question F-10 Question same as RECS93 Imputed For Nonresponse 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 = Not Applicable Number Weighted Of Number of Value Observations Households 1 196 3,200,000 2 364 5,900,000 3 448 7,200,000 4 373 6,100,000 5 132 2,200,000 96 122 2,000,000 99 4,265 75,000,000 ZWWACAGE 'Imputation Flag for WWACAGE' Columns 118 Categorical Variable Variable length 1 0 = WWACAGE not imputed 1 = WWACAGE imputed Number Weighted Of Number of Value Observations Households 0 5,893 101,300,000 1 7 Q Q = Data withheld because fewer than 10 observation in the category. USEWWAC 'How Window/Wall A/C Used' Columns 120 Categorical Variable Variable Length 1 Question F-11 Question same as RECS93 Imputed For Nonresponse 0 = Not Used At All 1 = Few Days Or Nights When Really Needed 2 = Quite A Bit 3 = About All Summer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 41 700,000 1 857 13,500,000 2 384 6,600,000 3 353 5,700,000 9 4,265 75,000,000 ZUSEWWAC 'Imputation Flag for USEWWAC' Columns 122 Categorical Variable Variable length 1 0 = USEWWAC not imputed 1 = USEWWAC imputed Number Weighted Of Number of Value Observations Households 0 5,744 99,000,000 1 156 2,500,000 TREESHAD 'Trees Shade Home' Columns 124 Categorical Variable Variable Length 1 Question F-12 Question same as RECS93 Imputed For Nonresponse 0 = No 1 = Yes Number Weighted Of Number of Value Observations Households 0 3,009 51,800,000 1 2,891 49,700,000 ZTREESHA 'Imputation Flag for TREESHAD' Columns 126 Categorical Variable Variable length 1 0 = TREESHAD not imputed 1 = TREESHAD imputed Number Weighted Of Number of Value Observations Households 0 5,895 101,400,000 1 5 Q Q = Data withheld because fewer than 10 observation in the category. LGT12 'Number Lights On 12+ Hours per Day' Columns 128-129 Numerical Variable Variable Length 2 Question G-1 Question same as RECS93 Imputed For Nonresponse Number Weighted Of Number of Value Observations Households 0 3,371 58,100,000 1 1,069 18,000,000 2 907 15,600,000 3 290 4,900,000 4 116 2,100,000 5 53 1,000,000 6 37 700,000 7 11 200,000 8 15 300,000 9 6 Q 10 11 200,000 11 3 Q 12 4 Q 13 2 Q 15 5 Q Q = Data withheld because fewer than 10 observation in the category. ZLGT12 'Imputation Flag for LGT12' Columns 131 Categorical Variable Variable length 1 0 = LGT12 not imputed 1 = LGT12 imputed Number Weighted Of Number of Value Observations Households 0 5,850 100,600,000 1 50 800,000 OUTLGTNT 'Outdoor Lights On All Night' Columns 133 Categorical Variable Variable Length 1 Question G-2A Question same as RECS93 Imputed For Nonresponse 0 = No 1 = Yes Number Weighted Of Number of Value Observations Households 0 4,389 75,200,000 1 1,511 26,300,000 ZOUTLGTN 'Imputation Flag for OUTLGTNT' Columns 135 Categorical Variable Variable length 1 0 = OUTLGTNT not imputed 1 = OUTLGTNT imputed Number Weighted Of Number of Value Observations Households 0 5,896 101,400,000 1 4 Q Q = Data withheld because fewer than 10 observation in the category. GASLIGHT 'Use Outdoor Gas Light' Columns 137 Categorical Variable Variable Length 1 Question G-2B Question different than RECS93 RECS 93 Did Not Restrict Question To Light Left On Imputed For Nonresponse 0 = No 1 = Yes 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 1,474 25,600,000 1 37 700,000 9 4,389 75,200,000 ZGASLIGH 'Imputation Flag for GASLIGHT' Columns 139 Categorical Variable Variable length 1 0 = GASLIGHT not imputed 1 = GASLIGHT imputed Number Weighted Of Number of Value Observations Households 0 5,878 101,200,000 1 22 300,000 SLDDRS 'Sliding Glass Doors' Columns 141 Categorical Variable Variable Length 1 Question G-3A Question first Used in 1997 RECS Imputed For Nonresponse 0 = No 1 = Yes Number Weighted Of Number of Value Observations Households 0 4,222 69,100,000 1 1,678 32,300,000 ZSLDDRS 'Imputation Flag for SLDDRS' Columns 143 Categorical Variable Variable length 1 0 = SLDDRS not imputed 1 = SLDDRS imputed Number Weighted Of Number of Value Observations Households 0 5,899 101,500,000 1 1 Q Q = Data withheld because fewer than 10 observation in the category. DOOR1SUM 'Number Of Sliding Glass Doors' Columns 145-146 Categorical Variable Variable Length 2 Question G-3B Question same as RECS93 Imputed For Nonresponse 0 = None/Not Applicable 1 = One 2 = Two 3 = Three 4 = Four 5 = Five Number Weighted Of Number of Value Observations Households 0 4,222 69,100,000 1 1,311 24,900,000 2 259 5,200,000 3 64 1,300,000 4 33 700,000 5 11 300,000 ZDOOR1SU 'Imputation Flag for DOOR1SUM' Columns 148 Categorical Variable Variable length 1 0 = DOOR1SUM not imputed 1 = DOOR1SUM imputed Number Weighted Of Number of Value Observations Households 0 5,895 101,400,000 1 5 Q Q = Data withheld because fewer than 10 observation in the category. WINDOWS 'Number Of Windows In Home' Columns 150-151 Categorical Variable Variable Length 2 Question G-4 Question different than RECS93 Imputed For Nonresponse 0 = None (If Volunteered) 1 = 1 OR 2 2 = 3 TO 5 3 = 6 TO 9 4 = 10 TO 19 5 = 20 TO 29 6 = More Than 30 Number Weighted Of Number of Value Observations Households 0 20 400,000 1 148 2,700,000 2 671 11,700,000 3 1,468 24,500,000 4 2,767 47,300,000 5 611 11,000,000 6 215 3,800,000 ZWINDOWS 'Imputation Flag for WINDOWS' Columns 153 Categorical Variable Variable length 1 0 = WINDOWS not imputed 1 = WINDOWS imputed Number Weighted Of Number of Value Observations Households 0 5,891 101,300,000 1 9 Q Q = Data withheld because fewer than 10 observation in the category. ADQINSUL 'How Well Insulated Is Home' Columns 155 Categorical Variable Variable Length 1 Question G-5 Question different than RECS93 RECS 93 Defined Insulation Imputed For Nonresponse 1 = Well Insulated 2 = Adequately Insulated 3 = Poorly Insulated 4 = No Insulation (If Volunteered) Number Weighted Of Number of Value Observations Households 1 2,157 38,000,000 2 2,555 44,400,000 3 1,147 18,500,000 4 41 600,000 ZADQINSU 'Imputation Flag for ADQINSUL' Columns 157 Categorical Variable Variable length 1 0 = ADQINSUL not imputed 1 = ADQINSUL imputed Number Weighted Of Number of Value Observations Households 0 5,850 100,600,000 1 50 900,000