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, 1-04 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 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 180-185
BTUKRAPL 'Kerosene Appliance Use (Estimated) Columns 187-191
BTUELCOL 'Electric AC Use (Estimated) Columns 193-197
BTUELRFG 'Electric Refrigerator Use (Estimated) Columns 199-203
BTUELFZZ 'Electric Freezer Use (Estimated) Columns 205-209
BTUELDWH 'Electric Dishwasher Use (Estimated) Columns 211-214
BTUELCDR 'Electric Dryer Use (Estimated) Columns 216-220
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: 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
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
2001.
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 4683 0 0 0
1 0 139 896 1
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 4683 0 0 0
1 0 139 120960 135
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 1 0 0 0
1 0 4821 65942 513
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 1 0 0 0
1 0 4821 224994 1750
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 1883 0 0 0
1 1 2938 4882 0
There is one case where USENG = 1 and CUFEETNG = 0. This could occur if the natural gas had been shut off for nonpayment or some other reason and the respondent still considered natural gas to be a fuel that is used in the home.
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 1883 0 0 0
1 1 2938 502358 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
2001.
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 4313 0 0 0
1 6 503 1893 0
The 6 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 2001.
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 4313 0 0 0
1 6 503 262540 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
2001.
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 4318 0 0 0
1 6 498 3346 0
The 6 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 2001.
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 4318 0 0 0
1 6 498 305590 0
The remaining variables are estimates of consumption by end use.
For each household that responded to the 2001 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, dishwashers, and clothes dryers. The estimates are BTUELFRZ, BTUELDWH, and BTUELCDR. BTUELAPL also includes these end uses, hence BTUELAPL equals the sum of BTUELFRZ, 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 1 0 0 0
1 0 2921 0 0 0
1 1 13 1887 76583 0
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 1883 0 0 0
1 0 264 0 0 0
1 1 11 2664 461815 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 4313 0 0 0
1 0 9 0 0 0
1 1 7 493 240905 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 4318 0 0 0
1 0 149 0 0 0
1 1 6 349 305590 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 4683 0 0 0
1 0 10 0 0 0
1 1 0 129 120960 135
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 1 0 0 0
1 0 2972 0 0 0
1 1 38 1811 54553 0
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 1883 0 0 0
1 0 389 0 0 0
1 1 0 2550 166595 58
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 4313 0 0 0
1 0 227 0 0 0
1 1 3 279 101660 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 4318 0 0 0
1 0 343 0 0 0
1 1 0 161 51648 1224
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 4683 0 0 0
1 0 134 0 0 0
1 1 0 5 23830 4780
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 1 0 0 0
1 0 4821 144669 669
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 1883 0 0 0
1 1096 1843 141225 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 4313 0 0 0
1 508 1 161 0
The one case where BTUFOAPL was positive occurred where fuel oil was
used to heat water for a hot tub, spa, or Jacuzzi.
BTULPAPL 'LPG Appliance Use (Estimated) Columns 180-185
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 4318 0 0 0
1 193 311 236271 0
BTUKRAPL 'Kerosene Appliance Use (Estimated) Columns 187-191
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 4683 0 0 0
1 129 10 53730 0
BTUELCOL 'Electric AC Use (Estimated) Columns 193-197
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 2001 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 1 0 0 0
1 0 1270 0 0 0
1 1 87 3464 65685 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 = 2 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 BTUELRFG BTUELRFG Value of Value of
USEEL NUMFRIG Is Zero Is Positive BTUELRFG BTUELRFG
0 2 1 0 0 0
1 0 8 0 0 0
1 1 0 3976 18085 225
1 2 0 783 34001 672
1 3 0 54 30192 3300
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 1 0 0 0
1 0 3155 0 0 0
1 1 124 1542 25780 0
BTUELDWH 'Electric Dishwasher Use (Estimated) Columns 211-214
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 1 0 0 0
1 0 2335 0 0 0
1 1 397 2089 9685 0
BTUELCDR 'Electric Dryer Use (Estimated) Columns 216-220
In Thousands Of BTU'
Numerical Variable
Variable Length 5
Is a subset Of BTUELAPL
The 122 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 0 1 0 0 0
1 0 2006 0 0 0
1 1 122 2693 24077 0