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