File layout for File 12 (Records are comma-delimited. First line contains a list of variables on the file. The remaining lines contain the values of the variables with fixed column positions.)
Variables on all files
DOEID '4-digit identification number' Columns 1-4
NWEIGHT 'The Final Weight' Columns 6-11
MQRESULT 'Mail Questionnaire Codes' Columns 13
REGIONC 'Census Region' Columns 15
DIVISION 'Census Division' Columns 17
LRGSTATE 'Four Largest States' Columns 19
CDD65 'Cooling Degree-Days to base 65, 1-04 TO 12-04' Columns 21-24
HDD65 'Heating Degree-Days to base 65, 1-04 TO 12-04' Columns 26-30
TYPEHUQ 'Type of Home: as report by Respondent' Columns 32
Variables in File 12 only.
DOLLARKR 'Estimated Kerosene Cost In Dollars' Columns 34-37
DOLLAREL 'Estimated Cost Of Electricity In Dollars' Columns 39-42
DOLLARNG 'Estimated Cost Of Natural Gas In Dollars' Columns 44-47
DOLLARFO 'Estimated Cost Of Fuel Oil In Dollars' Columns 49-52
DOLLARLP 'Estimated Cost Of LPG In Dollars' Columns 54-57
DOLELSPH 'Electric Space Heat Use (Estimated) In Dollars' Columns 59-62
DOLNGSPH 'Natural Gas Space Heat Use (Estimated) In Dollars'Columns 64-67
DOLFOSPH 'Fuel Oil Space Heat Use (Estimated) In Dollars' Columns 69-72
DOLLPSPH 'LPG Space Heat Use (Estimated) In Dollars' Columns 74-77
DOLKRSPH 'Kerosene Space Heat Use (Estimated) In Dollars' Columns 79-82
DOLELWTH 'Electric Water Heating Use (Estimated) In Dollars'Columns 84-87
DOLNGWTH 'Natural Gas Water Heat Use (Estimated) In Dollars'Columns 89-92
DOLFOWTH 'Fuel Oil Water Heat Use (Estimated) In Dollars' Columns 94-97
DOLLPWTH 'LPG Water Heat Use (Estimated) In Dollars' Columns 99-102
DOLKRWTH 'Kerosene Water Heat Use (Estimated) In Dollars' Columns 104-106
DOLELAPL 'Electric Appliance Use (Estimated) In Dollars' Columns 108-111
DOLNGAPL 'Natural Gas Appliance Use (Estimated) In Dollars' Columns 113-116
DOLFOAPL 'Fuel Oil Appliance Use (Estimated) In Dollars' Columns 118-119
DOLLPAPL 'LPG Appliance Use (Estimated) In Dollars' Columns 121-124
DOLKRAPL 'Kerosene Appliance Use (Estimated) In Dollars' Columns 126-129
DOLELCOL 'Electric AC Use (Estimated) In Dollars' Columns 131-134
DOLELRFG 'Electric Refrigerator Use (Estimated) In Dollars' Columns 136-138
DOLELFZZ 'Electric Freezer Use (Estimated) In Dollars' Columns 140-142
DOLELDWH 'Electric Dishwasher Use (Estimated) In Dollars' Columns 144-146
DOLELCDR 'Electric Clothes Dryer Use (Estimated) In Dollars'Columns 148-150
Codebook for File 12
Variables DOEID, NWEIGHT, MQRESULT, REGIONC, DIVISION, LRGSTATE CDD65,
HDD65, and TYPEHUQ are on all files.
DOEID '4-digit identification number' Columns 1-4
Included in all files
Numerical Variable
Variable length: 4
The variable DOEID will be on all files. Each respondent is assigned
an unique value of DOEID. It can be used to merge data from one file
with data from another file.
Minimum Value: 1,001
Maximum Value: 5,852
NWEIGHT 'The Final Weight' Columns 6-11
Included in all files
Numerical Variable
Variable length: 6
Minimum Value: 5,594
Maximum Value: 105,485
The sample design for RECS is not a simple random sample.
Consequently, to estimate the number or percent of households/housing units
with a certain characteristic, the sampling weight should be used. The
variable NWEIGHT is the sampling weight for the observation. It is
approximately the inverse of the probability of selection. It gives
the number of households that the response represents in the sample.
For most categorical variables, the codebooks contain both the
unweighted frequency and the weighted frequency. The unweighted
frequency gives the number of observations, the weighted frequency
gives survey estimate of the number of households/housing units for
each possible value of the variable. The weighted frequencies are
rounded to the nearest 100,000 households. This is the limit of the
accuracy for RECS. When the unweighted frequency is less than 10 or
the weighted frequency is less than 150,000; then weighted frequency is
suppressed. A 'Q' is placed in the frequency to denote that the number
is suppressed. This indicates that there are too few observation upon
which to determine an accurate estimate.
MQRESULT 'Mail Questionnaire Codes' Columns 13
Included in all files
Categorical Variable
Variable length 1
Mail Questionnaire (MQ)
Authorization Form (AF)
Personal Interview (PI)
1 = MQ Completed, AF Signed
2 = MQ Completed, AF not required
3 = MQ Completed, AF Not Signed
7 = MQ returned after a PI was completed
8 = PI was completed after MQ was returned
9 = Not Applicable
Number Weighted
Of Number of
Value Observations Households
1 166 3,900,000
2 1 Q
3 76 1,700,000
7 42 1,000,000
8 24 600,000
9 4,513 99,800,000
Q = Data withheld because fewer than 10 observation in the category.
When MQRESULT equals 1 2, or 3, the household and housing unit data
was not obtained via a personal interview. The data were obtained using a
shortened mail questionnaire. A hot-deck imputation procedure was used
to match each mail respondent to a personal interview respondent. The
critical matching variables were FUELHEAT, FUELH2O, TYPECOOL, TYPEHUQ,
and REGIONC. Additional variables used in a scoring function to
determine the best match were MONEYPY, NHSLDMEM, VEHICLES, HHAGE, and
TOTROOMS. The remaining household/housing unit characteristics for the
mail respondents were determined by the values of the matched personal
interview respondent. The energy consumption and expenditures data for
the mail respondents was based upon data obtained from their energy
suppliers. It was not imputed using a hot deck procedure.
Questionnaire data from personal interview respondents sometime is
missing and needs to be imputed. 'Z' variables are used to indicate
the presence of imputed data. For example, if ZURBRUR = 0 then URBRUR
was not imputed. If ZURBRUR = 1 then URBRUR was imputed.
Census Division/Region: A geographic area consisting of several States
defined by the U.S. Department of Commerce, Bureau of the Census. The
States are grouped into nine divisions and four regions.
Region Division States
Northeast New England Connecticut, Maine, Massachusetts,
New Hampshire, Vermont, and Rhode Island
Middle Atlantic New Jersey, New York, and Pennsylvania
Midwest East North Central Illinois, Indiana, Michigan,
Ohio, and Wisconsin
West North Central Iowa, Kansas, Minnesota, Missouri,
Nebraska, North Dakota, and South Dakota
South South Atlantic Delaware, the District of Columbia,
Florida, Georgia, Maryland, North
Carolina, South Carolina, Virginia,
and West Virginia
East South Central Alabama, Kentucky, Mississippi,
and Tennessee
West South Central Arkansas, Louisiana, Oklahoma,
and Texas
West Mountain Arizona, Colorado, Idaho, Montana,
Nevada, New Mexico, Utah, and Wyoming
Pacific Alaska, California, Hawaii, Oregon,
and Washington
REGIONC 'Census Region' Columns 15
Included in all files
Categorical Variable
Variable length 1
1 = Northeast Census Region
2 = Midwest Census Region
3 = South Census Region
4 = West Census Region
Number Weighted
Of Number of
Value Observations Households
1 1,087 20,300,000
2 1,047 24,500,000
3 1,489 38,900,000
4 1,199 23,300,000
DIVISION 'Census Division' Columns 17
Included in all files
Categorical Variable
Variable length 1
1 = New England Census Division
2 = Middle Atlantic Census Division
3 = East North Central Census Division
4 = West North Central Census Division
5 = South Atlantic Census Division
6 = East South Central Census Division
7 = West South Central Census Division
8 = Mountain Census Division
9 = Pacific Census Division
Number Weighted
Of Number of
Value Observations Households
1 396 5,400,000
2 691 14,800,000
3 681 17,100,000
4 366 7,400,000
5 626 20,300,000
6 409 6,800,000
7 454 11,800,000
8 407 6,700,000
9 792 16,600,000
LRGSTATE 'Four Largest States' Columns 19
Included in all files
Categorical Variable
Variable length 1
0 = Other
1 = New York State
2 = California
3 = Texas
4 = Florida
Number Weighted
Of Number of
Value Observations Households
0 3,484 73,600,000
1 328 7,100,000
2 541 12,300,000
3 289 7,700,000
4 180 6,300,000
CDD65 and HDD65 are weather data. The values of CDD65 and HDD65 were based
upon data obtained from the NOAA. A random error was added to both HDD65
and CDD65 to mask the location of the weather station from which the data
was obtained.
CDD65 'Cooling Degree-Days to base 65, 1-04 TO 12-04' Columns 21-24
Included in all files
Numerical Variable
Variable length 4
Minimum Value: 0
Maximum Value: 5,161
HDD65 'Heating Degree-Days to base 65, 1-04 TO 12-04' Columns 26-30
Included in all files
Numerical Variable
Variable length 5
Minimum Value: 0
Maximum Value: 10,045
Cooling degree days are the number of degrees the average daily
temperature (ADT) is above the base temperature. Heating degree days
are the number of degrees the ADT is below the base temperature. To
calculate daily degree days (base 65 degrees):
ADT = (daily high + daily low)/2
CDD(daily) = 0 if ADT <= 65
= ADT - 65 if ADT > 65
HDD(daily) = 0 if ADT >= 65
= 65 - ADT if ADT < 65.
Annual degrees days are calculated by summing the daily degree days.
The .5 is carried over in the summation. The total is rounded up after
the summation.
TYPEHUQ 'Type of Home: as report by Respondent' Columns 32
Included in all files
Categorical Variable
Variable length: 1
Question (A-1)
different than RECS97
Variable was constructed form responses to questions
A-1, A-3, A-3a, and A-3a1
There is a fine line between the definitions of various types of
housing units. The distinction between a single-family attached unit
and a unit in an apartment building is particularly complex. The 1997
RECS relied more heavily of the respondent's perception of the housing
type. The 2001 RECS placed more emphasis on the interviewer's perception.
1 = Mobile Home
2 = Single-Family detached
3 = Single-Family Attached
4 = Apartment in Building containing 2-4 units
5 = Apartment in Building Containing 5 or more units
Number Weighted
Of Number of
Value Observations Households
1 325 6,800,000
2 2,935 63,100,000
3 426 10,600,000
4 444 9,500,000
5 692 17,000,000
The remaining variables are on File Section 12 only.
DOLLARKR 'Estimated Kerosene Cost In Dollars' Columns 34-37
Numerical Variable
Variable length 4
DOLLARKR is the cost in dollars of kerosene bought. The amount that the household uses may vary from the amount that they bought.
DOLLARKR is based upon one of the following:
1. The respondent's estimate of the dollar amount spent in 12
months prior to the interview. See variables PRICEKER and
TOTPAYKR on File 6.
2. Supplier data on the amount sold to the household in 2001.
3. Regression estimate.
The variable ORIGKRC on file 10 summarizes the source of the data for
DOLLARKR.
The variable USEKERO on File 6 can be used to determine if a household
uses kerosene.
Number of Number of
Observations Observations
Value Where Where Maximum Minimum
of DOLLARKR DOLLARKR Value of Value of
USEKERO Is Zero Is Positive DOLLARKR DOLLARKR
0 4683 0 0 0
1 0 159 1101 1
DOLLAREL 'Estimated Cost Of Electricity In Dollars' Columns 39-42
Numerical Variable
Variable length 4
DOLLAREL is based upon one of the following:
1. Utility records.
2. Regression estimate.
The variable ORIGELC on file 10 summarizes the source of the data for
DOLLAREL.
The variable USEEL on File 6 can be used to determine if a household
uses electricity.
Number of Number of
Observations Observations
Value Where Where Maximum Minimum
of DOLLAREL DOLLAREL Value of Value of
USEEL Is Zero Is Positive DOLLAREL DOLLAREL
0 1 0 0 0
1 1 4820 4755 0
DOLLARNG 'Estimated Cost Of Natural Gas In Dollars' Columns 44-47
Numerical Variable
Variable length 4
DOLLARNG is based upon one of the following:
1. Utility records.
2. Regression estimate.
The variable ORIGNGC on file 10 summarizes the source of the data for
DOLLARNG.
The variable USENG on File 6 can be used to determine if a household
uses Natural gas.
Number of Number of
Observations Observations
Value Where Where Maximum Minimum
of DOLLARNG DOLLARNG Value of Value of
USENG Is Zero Is Positive DOLLARNG DOLLARNG
0 1883 0 0 0
1 1 2938 5385 0
DOLLARFO 'Estimated Cost Of Fuel Oil In Dollars' Columns 49-52
Numerical Variable
Variable length 4
DOLLARFO is based upon one of the following:
1. Supplier data on the amount delivered to the household in
2001.
2. Regression estimate.
The variable ORIGFOC On file 10 summarizes the source of the data for
DOLLARFO.
The variable USEFO on File 6 can be used to determine if a household
uses kerosene.
Number of Number of
Observations Observations
Value Where Where Maximum Minimum
of DOLLARFO DOLLARFO Value of Value of
USEFO Is Zero Is Positive DOLLARFO DOLLARFO
0 4313 0 0 0
1 6 503 2476 0
The 6 cases where USEFO equals 1 and DOLLARFO equals 0 occur when the
household uses fuel oil but did not report buying fuel oil in the 12
months prior to the interview or the supplier reported that they did not
deliver fuel oil to the household during 2001.
DOLLARLP 'Estimated Cost Of LPG In Dollars' Columns 54-57
Numerical Variable
Variable length 4
DOLLARLP is based upon one of the following:
1. Supplier data on the amount delivered to the household in
2001.
2. Regression estimate.
The variable ORIGLPC On file 10 summarizes the source of the data for
DOLLARLP.
The variable USELP on File 6 can be used to determine if a household
uses kerosene.
Number of Number of
Observations Observations
Value Where Where Maximum Minimum
of DOLLARLP DOLLARLP Value of Value of
USELP Is Zero Is Positive DOLLARLP DOLLARLP
0 4813 0 0 0
1 6 498 3822 0
The 6 cases where USELP equals 1 and DOLLARLP equals 0 occur when the
household uses LPG but did not report buying LPG in the 12 months prior
to the interview or the supplier reported that they did not deliver LPG
to the household during 2001.
The remaining variables are estimates of expenditures by end use.
For each household that responded to the 2001 RECS, the annual energy
expenditures for five end-use categories-- space heating, water heating, air-
conditioning, refrigerators, and general appliance usage--were estimated.
The end-use estimates were produced for each of the five main energy sources:
electricity, natural gas, fuel oil, kerosene, and liquefied petroleum gas
(LPG). The end-use expenditures were not based on data produced by placing
meters on individual appliances; rather, they were obtained by estimating how
much of the total annual expenditures for each energy source can be
attributed to each of the end-use categories for each household by using a
regression technique.
The regression technique was used to first estimate the percent of energy
consumption by energy source and end use. Next these percents were used to
determine the corresponding amount spent on each end-use by each household.
The end-use estimates were normalized so that the sum of the end-use
estimates was equal to the actual or imputed yearly expenditures for each
energy source used by the household.
In particular:
DOLLAREL = DOLELSPH + DOLELWTH + DOLELAPL + DOLELCOL + DOLELRFG
DOLLARNG = DOLNGSPH + DOLNGWTH + DOLNGAPL + DOLNGCOL
DOLLARFO = DOLFOSPH + DOLFOWTH + DOLFOAPL
DOLLARLP = DOLLPSPH + DOLLPWTH + DOLLPAPL
DOLLARKR = DOLKRSPH + DOLKRWTH + DOLKRAPL
For all energy sources, the space-heating component was defined as all energy
used to generate heat by space-heating equipment. The equipment could be the
main space-heating equipment or secondary space-heating equipment. Hence,
for all energy sources, a household could have had a positive amount of
energy assigned to the space-heating component even if the energy source was
not used as the main space-heating energy source.
The component for water heating was defined as all energy used to heat water
for hot running water, as well as water heated at point sources (such as
stoves or auxiliary water-heating equipment) for bathing, cleaning and other
noncooking applications of hot water. Energy used at point sources to heat
water for cooking and hot drinks was considered part of the general appliance
component, as was energy used to heat water for a swimming pool, hot tub,
spa, or Jacuzzi.
For electricity, end use estimates were also made for freezers, dishwashers, and clothes dryers. The estimates are DOLELFRZ, DOLELDWH, and DOLELCDR. DOLELAPL also includes these end uses, hence DOLELAPL equals the sum of DOLELFRZ, DOLELDWH, and DOLELCDR plus the expenditures for lights and other numerous appliances. The electricity used in refrigerators is not included in DOLELAPL. DOLELAPL includes all electricity expenditures except electricity use for space heating, water heating, air conditioning, and refrigerators. This includes electricity used for freezers, cooking, dishwashers, clothes dryers, lights, TV's, VCR's, stereos, coffee makers, power tools, pool heaters, furnace fans, home computers, and many more uses.
DOLELSPH 'Electric Space Heat Use (Estimated) In Dollars' Columns 59-62
Numerical Variable
Variable length 4
For the 1987 and subsequent RECS, the electricity regression equation
assigned the electricity associated with the operation of fans in any
central forced-air heating equipment was assigned to the electricity
appliance component and not to the space-heating component. Hence, if
ELWARM = 0 then DOLELSPH = 0.
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLELSPH DOLELSPH Value of Value of
USEEL ELWARM Is Zero Is Positive DOLELSPH DOLELSPH
0 0 1 0 0 0
1 0 2921 0 0 0
1 1 13 1997 1867 0
DOLNGSPH 'Natural Gas Space Heat Use (Estimated) In Dollars' Columns 64-67
Numerical Variable
Variable length 4
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLNGSPH DOLNGSPH Value of Value of
USENG UGWARM Is Zero Is Positive DOLNGSPH DOLNGSPH
0 0 1883 0 0 0
1 0 264 0 0 0
1 1 11 2664 4454 0
DOLFOSPH 'Fuel Oil Space Heat Use (Estimated) In Dollars' Columns 69-72
Numerical Variable
Variable length 4
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLFOSPH DOLFOSPH Value of Value of
USEFO FOWARM Is Zero Is Positive DOLFOSPH DOLFOSPH
0 0 4313 0 0 0
1 0 9 0 0 0
1 1 7 493 2337 0
DOLLPSPH 'LPG Space Heat Use (Estimated) In Dollars' Columns 74-77
Numerical Variable
Variable length 4
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLLPSPH DOLLPSPH Value of Value of
USELP LPWARM Is Zero Is Positive DOLLPSPH DOLLPSPH
0 0 4318 0 0 0
1 0 149 0 0 0
1 1 6 349 2996 0
DOLKRSPH 'Kerosene Space Heat Use (Estimated) In Dollars' Columns 79-82
Numerical Variable
Variable length 4
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLKRSPH DOLKRSPH Value of Value of
USEKERO KRWARM Is Zero Is Positive DOLKRSPH DOLKRSPH
0 0 4683 0 0 0
1 0 10 0 0 0
1 1 0 129 1101 2
DOLELWTH 'Electric Water Heating Use (Estimated) In Dollars' Columns 84-87
Numerical Variable
Variable length 4
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLELWTH DOLELWTH Value of Value of
USEEL ELWATER Is Zero Is Positive DOLELWTH DOLELWTH
0 0 1 0 0 0
1 0 2972 0 0 0
1 1 38 1811 1251 0
DOLNGWTH 'Natural Gas Water Heat Use (Estimated) In Dollars' Columns 89-92
Numerical Variable
Variable length 4
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLNGWTH DOLNGWTH Value of Value of
USENG UGWATER Is Zero Is Positive DOLNGWTH DOLNGWTH
0 0 1883 0 0 0
1 0 389 0 0 0
1 1 0 2550 1450 14
DOLFOWTH 'Fuel Oil Water Heat Use (Estimated) In Dollars' Columns 94-97
Numerical Variable
Variable length 4
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLFOWTH DOLFOWTH Value of Value of
USEFO FOWATER Is Zero Is Positive DOLFOWTH DOLFOWTH
0 0 4313 0 0 0
1 0 277 0 0 0
1 1 3 279 953 0
DOLLPWTH 'LPG Water Heat Use (Estimated) In Dollars' Columns 99-102
Numerical Variable
Variable length 4
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLLPWTH DOLLPWTH Value of Value of
USELP LPWATER Is Zero Is Positive DOLLPWTH DOLLPWTH
0 0 4318 0 0 0
1 0 343 0 0 0
1 1 0 161 717 17
DOLKRWTH 'Kerosene Water Heat Use (Estimated) In Dollars' Columns 104-106
Numerical Variable
Variable length 3
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLKRWTH DOLKRWTH Value of Value of
USEKERO KRWATER Is Zero Is Positive DOLKRWTH DOLKRWTH
0 0 4683 0 0 0
1 0 134 0 0 0
1 1 0 5 251 52
DOLELAPL 'Electric Appliance Use (Estimated) In Dollars' Columns 108-111
Numerical Variable
Variable Length 4
Includes DOLELFZZ DOLELCOK DOLELDWH DOLELCDR
Number of Number of
Observations Observations
Value Where Where Maximum Minimum
of DOLELAPL DOLELAPL Value of Value of
USEEL Is Zero Is Positive DOLELAPL DOLELAPL
0 1 0 0 0
1 1 4820 3009 0
DOLNGAPL 'Natural Gas Appliance Use (Estimated) In Dollars' Columns 113-116
Numerical Variable
Variable length 3
Number of Number of
Observations Observations
Value Where Where Maximum Minimum
of DOLNGAPL DOLNGAPL Value of Value of
USENG Is Zero Is Positive DOLNGAPL DOLNGAPL
0 1883 0 0 0
1 1096 1843 1198 0
DOLFOAPL 'Fuel Oil Appliance Use (Estimated) In Dollars' Columns 118-119
Numerical Variable
Variable length 2
Number of Number of
Observations Observations
Value Where Where Maximum Minimum
of DOLFOAPL DOLFOAPL Value of Value of
USEFO Is Zero Is Positive DOLFOAPL DOLFOAPL
0 4313 0 0 0
1 508 1 1 0
All four cases where DOLFOAPL was positive correspond to cases where
fuel oil was used to heat water for a hot tub, spa, or Jacuzzi.
DOLLPAPL 'LPG Appliance Use (Estimated) In Dollars' Columns 121-124
Numerical Variable
Variable length 3
Number of Number of
Observations Observations
Value Where Where Maximum Minimum
of DOLLPAPL DOLLPAPL Value of Value of
USELP Is Zero Is Positive DOLLPAPL DOLLPAPL
0 4318 0 0 0
1 193 311 3822 0
DOLKRAPL 'Kerosene Appliance Use (Estimated) In Dollars' Column 126-129
Numerical Variable
Variable length 1
Number of Number of
Observations Observations
Value Where Where Maximum Minimum
of DOLKRAPL DOLKRAPL Value of Value of
USEKERO Is Zero Is Positive DOLKRAPL DOLKRAPL
0 4683 0 0 0
1 120 10 600 0
DOLELCOL 'Electric AC Use (Estimated) In Dollars' Columns 131-134
Numerical Variable
Variable length 4
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLELCOL DOLELCOL Value of Value of
USEEL AIRCOND Is Zero Is Positive DOLELCOL DOLELCOL
0 0 1 0 0 0
1 0 1270 0 0 0
1 1 87 3464 1580 0
DOLELRFG 'Electric Refrigerator Use (Estimated) In Dollars' Columns 136-138
Numerical Variable
Variable length 3
The one case where USEEL = 0 and NUMFRIG = 1 corresponds to a case where
the household uses kerosene but does not use electricity.
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLELRFG DOLELRFG Value of Value of
USEEL NUMFRIG Is Zero Is Positive DOLELRFG DOLELRFG
0 2 1 0 0 0
1 0 8 0 0 0
1 1 2 3974 638 0
1 2 0 783 757 20
1 3 0 54 921 114
DOLELFZZ 'Electric Freezer Use (Estimated) In Dollars' Columns 140-142
Numerical Variable
Variable Length 3
Is A Subset Of DOLELAPL
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLELFZZ DOLELFZZ Value of Value of
USEEL SEPFREEZ Is Zero Is Positive DOLELFZZ DOLELFZZ
0 0 1 0 0 0
1 0 3155 0 0 0
1 1 124 1542 546 0
DOLELDWH 'Electric Dishwasher Use (Estimated) In Dollars' Columns 144-146
Numerical Variable
Variable length 3
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLELDWH DOLELDWH Value of Value of
USEEL DISHWASH Is Zero Is Positive DOLELDWH DOLELDWH
0 0 1 0 0 0
1 0 2335 0 0 0
1 1 397 2089 273 0
DOLELCDR 'Electric Clothes Dryer Use (Estimated) In Dollars' Columns 148-150
Numerical Variable
Variable length 3
The 122 cases where the household has an electric dryer yet DOLELCDR = 0
correspond to cases where the household reported that they used their
dryer infrequently (DRYRUSE = 3).
Number of Number of
Observations Observations
Value Value Where Where Maximum Minimum
of of DOLELCDR DOLELCDR Value of Value of
USEEL DRYRFUEL Is Zero Is Positive DOLELCDR DOLELCDR
0 0 1 0 0 0
1 0 2006 0 0 0
1 1 122 2693 525 0