Residential Energy Consumption Survey (RECS)
1997 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous
Housing Characteristics Tables
Table Titles (Released: February 2004) | Entire Section | Percents |
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Tables: HC1 Housing Unit Characteristics, Million U.S. Households | ||
NOTE: As of 10/31/01, numbers in the "Housing Units" TABLES section for stub item: "Number of Floors in Apartment Buildings" were REVISED. These numbers will differ from the numbers in the published report. | ||
Tables: HC2 Household Characteristics, Million U.S. Households | ||
Tables: HC3 Space Heating, Million U.S. Households | ||
Tables: HC4 Air-Conditioning, Million U.S. Households | ||
Tables: HC5 Appliances, Million U.S. Households | ||
Tables: HC6 Usage Indicators, Million U.S. Households | ||
Tables: HC7 Home Office Equipment, Million U.S. Households |
Household Energy Usage
The 1997 Residential Energy Consumption Survey (RECS) collected household energy data for the four most populated States: California, Florida, New York, and Texas. Data for all the other States are aggregated and available at the Census Division (groups of 3 to 8 States) level.
For an overview of the energy-related characteristics and usage in each of the four most populated States, click on the State (in the left column).
For detailed data, choose from the tables listed below. Each table presents the pertinent information for each of the four States. All these data are from the 1997 RECS and are the most recent end-user household data.
Characteristics: Characteristics information about the housing unit and household are collected during on-site interviews at over 5,000 households across the United States.
Characteristics and Percent Tables for the Four Most Populated States (CA, FL, NY, and TX) |
Characteristics
(Million U.S. Households) |
Percentages
(Percent of U.S. Households) |
---|---|---|
Tables: HC1 - Housing Unit Characteristics (Includes: housing type and ownership, year of construction, number of rooms, number of floors, heated floorspace, fuels used.) |
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Tables: HC2 - Household Characteristics (Includes: household income, age, race, household size, number of vehicles household owns.) |
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Tables: HC3 - Space Heating (Includes: space heating fuel, equipment used, equipment age, amount of heated floorspace, etc.) |
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Tables: HC4 - Air Conditioning (Includes: households using air- conditioning equipment, age of air-conditioning equipment, type of air-conditioning equipment.) |
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Tables: HC5 - Appliances (Includes: ovens, stoves, refrigerators, freezers, microwave, dishwashers, clothes washers and dryers, ceiling fans, TV's, heaters, heat pumps, water heaters.) |
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Tables: HC6 - Usage Indicators (Includes: indoor temperature settings, usage of appliances, usage of personal computers, household activities affecting energy usage.) |
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Tables: HC7 - Home Office Equipment (Includes: personal computers, modems, laser printers, FAX machines, copiers, office equipment indicators (personal, business, telecommuting.) |
Specific questions on this product may be directed to:
Chip Berry
James.Berry@eia.gov
RECS Survey Manager
Phone: (202) 586-5543
Fax: (202) 586-0018
Consumption & Expenditures Tables
Table Titles | Consumption | Expenditures |
---|---|---|
Tables: CE1 Total Energy Consumption in U.S. Households | ||
Tables: CE2 Space Heating in U.S. Households | ||
NOTE: As of 5/5/00, the "heated square footage" and "intensities" numbers were revised and will differ from the numbers in the published report. | ||
Tables: CE3 Air Conditioning in U.S. Households | ||
Tables: CE4 Water Heating in U.S. Households | ||
Tables: CE5 Appliances, in U.S. Households |
Fuel Tables | Consumption |
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Table 1. Natural Gas Consumption and Expenditures in U.S. Households by End Uses and Census Region | |
Table 2. Fuel Oil Consumption and Expenditures in U.S. Households by End Uses and Census Region | |
Table 3. Electricity Consumption and Expenditures in U.S. Households by End Uses and Census Region | |
Table 4. LPG Consumption and Expenditures in U.S. Households by End Uses and Census Region | |
Table 5. Kerosene Consumption and Expenditures in U.S. Households by End Uses and Census Region |
Household Energy Usage
The 1997 Residential Energy Consumption Survey (RECS) collected household energy data for the four most populated States: California, Florida, New York, and Texas. Data for all the other States are aggregated and available at the Census Division (groups of 3 to 8 States) level.
For an overview of the energy-related characteristics and usage in each of the four most populated States, click on the State (in the left column).
For detailed data, choose from the tables listed below. Each table presents the pertinent information for each of the four States. All these data are from the 1997 RECS and are the most recent end-user household data.
Energy End Usage: The suppliers of electricity, natural gas, fuel oil, and propane to the 5,000 households are then asked to provide the amount and cost of fuels delivered to the household. Through a statistical regression procedure, the total usage and costs of energy are allocated among four energy end uses: space heating, air conditioning, water heating, and appliances.
Energy End-Use Tables for the Four Most Populated States (CA, FL, NY, and TX) |
Characteristics
(Million U.S. Households) |
Percentages >(Percent of U.S. Households) |
---|---|---|
Table CE1 - Total Energy Consumption in U.S. Households (Includes: number of households and fuels used, all households and per household consumption in both Btu and physical units.) |
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Table CE2 - Space-Heating Energy Consumption in U.S. Households (Includes: number of households and fuels used, all households and average per household Btu consumption, and heated square footage by fuel.) |
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Table CE3 - Electric Air-Conditioning (AC) Energy Consumption in U.S. Households (Includes: number of households using AC, all households and average per household AC consumption (in Btu and KWh), cooled square footage and cooling degree-days.) |
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Table CE4 - Water-Heating Energy Consumption in U.S. Households (Includes: number of households with water heating, fuels used, all households and average per household water-heating consumption.) |
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Table CE5 - Appliances Energy Consumption in U.S. Households (Includes: number of households with appliances; all households and average per household appliances consumption in Btu and physical units, and appliances fuel used.) |
Median Values and Percentiles for Household Energy Data
The 1997 RECS detailed tables contain estimates of mean annual energy consumption for households. The amount of energy consumed by households varies widely–a useful way to describe the variation is with tables and graphs of percentiles of consumption. For each of the household characteristics categories below are tables and graphs of percentiles of consumption (5th, 10th, 25th, median, 75th, 90th, and 95th percentiles), and tables and graphs of mean values of consumption, standard errors, and 95% confidence ranges.
Electricity Consumption per Household
Natural Gas Consumption per Household
All Households
5th percentile | 10th percentile | 25th percentile | median | 75th percentile | 90th percentile | 95th percentile | |
---|---|---|---|---|---|---|---|
All Households | 2,287 | 3,167 | 5,056 | 8,370 | 13,485 | 19,866 | 24,436 |
Notes: The data in this table are for households that used electricity. The percentiles describe the distribution of household electricity consumption data; for example, 25% of households consumed less than 5,056 kWh and 75% consumed more than that amount. |
Figure 1. Annual Electricity Consumption Percentiles, 1997
(thousand kilowatthours per household)
Notes: The data in this graph are for households that used electricity.
The percentiles describe the distribution of household electricity consumption data; for example, 25% of households consumed less than 5,056 kWh and 75% consumed more than that amount.
Electricity Consumption per Household (kWh) | Relative Standard Error (percent) | Standard Error (kWh) | 95% confidence level lower bound (kWh) | 95% confidence level upper bound (kWh) | |
---|---|---|---|---|---|
All Households |
10,219 | 1.4 | 430 | 9,939 | 10,499 |
Notes: The data in this table are for households that used electricity. The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for electricity consumption is 10,219 kWh and the standard error is 430 kWh. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 9,939 kWh to 10,499 kWh. |
Census Division
5th percentile | 10th percentile | 25th percentile | median | 75th percentile | 90th percentile | 95th percentile | |
---|---|---|---|---|---|---|---|
All Households | 2,287 | 3,167 | 5,056 | 8,370 | 13,485 | 19,866 | 24,436 |
Census Division | |||||||
New England | 1,911 | 2,470 | 3,580 | 5,739 | 8,723 | 12,473 | 16,609 |
Middle Atlantic | 1,682 | 2,287 | 3,573 | 5,608 | 9,653 | 14,344 | 19,137 |
East North Central | 2,311 | 3,252 | 4,705 | 7,378 | 10,749 | 15,390 | 18,789 |
West North Central | 2,765 | 3,413 | 5,425 | 8,385 | 12,700 | 18,116 | 25,168 |
South Atlantic | 3,745 | 5,227 | 7,800 | 11,861 | 17,440 | 22,418 | 25,509 |
East South Central | 3,978 | 5,706 | 8,941 | 13,286 | 19,545 | 26,914 | 30,900 |
West South Central | 3,704 | 5,065 | 7,939 | 12,220 | 17,477 | 25,927 | 29,632 |
Mountain | 2,756 | 3,336 | 5,301 | 7,976 | 12,161 | 17,944 | 21,154 |
Pacific | 1,778 | 2,345 | 3,831 | 6,333 | 10,440 | 16,839 | 20,821 |
Notes: The data in this table are for households that used electricity. The percentiles describe the distribution of household electricity consumption data; for example, 25% of households in New England consumed less than 3,580 kWh and 75% consumed more than that amount. |
Figure 1. Annual Electricity Consumption Percentiles by Census Division, 1997
(thousand kilowatthours per household)
Notes:Â The data in this graph are for households that used electricity.
The percentiles describe the distribution of household electricity consumption data; for example, 25% of households in New England consumed less than 3,580 kWh and 75% consumed more than that amount.
Electricity Consumption per Household (kWh) | Relative Standard Error (percent) | Standard Error (kWh) | 95% confidence level lower bound (kWh) | 95% confidence level upper bound (kWh) | |
---|---|---|---|---|---|
All Households | 10,219 | 1.4 | 430 | 9,939 | 10,499 |
Census Division | |||||
New England | 7,062 | 5.5 | 388 | 6,301 | 7,824 |
Middle Atlantic | 7,313 | 4.4 | 322 | 6,682 | 7,944 |
East North Central | 8,631 | 5.0 | 432 | 7,785 | 9,476 |
West North Central | 10,181 | 6.6 | 672 | 8,864 | 11,498 |
South Atlantic | 13,077 | 2.9 | 379 | 12,334 | 13,820 |
East South Central | 14,890 | 6.4 | 953 | 13,023 | 16,758 |
West South Central | 13,826 | 4.5 | 622 | 12,606 | 15,045 |
Mountain | 9,424 | 4.5 | 424 | 8,593 | 10,256 |
Pacific | 8,203 | 2.9 | 238 | 7,737 | 8,669 |
Notes: The data in this table are for households that used electricity. The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for electricity consumption for New England is 7,062 kWh and the standard error is 388 kWh. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 6,301kWh to 7,824 kWh. |
Figure 2. Mean Annual Electricity Consumption (and 95% confidence ranges) by Census Division, 1997
(thousand kilowatthours per household)
Notes:Â The data in this graph are for households that used electricity.
The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for electricity consumption for New England is 7,062 kWh and the standard error is 388 kWh. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 6,301kWh to 7,824 kWh.
Years Constructed
5th percentile | 10th percentile | 25th percentile | median | 75th percentile | 90th percentile | 95th percentile | |
---|---|---|---|---|---|---|---|
All Households | 2,287 | 3,167 | 5,056 | 8,370 | 13,485 | 19,866 | 24,436 |
Year Constructed | |||||||
Before 1940 | 1,778 | 2,369 | 3,867 | 6,363 | 10,256 | 14,369 | 18,355 |
1940 to 1949 | 1,778 | 2,212 | 3,574 | 5,940 | 9,660 | 14,945 | 19,452 |
1950 to 1959 | 2,345 | 3,070 | 4,651 | 7,556 | 11,234 | 17,193 | 22,229 |
1960 to 1969 | 2,374 | 3,172 | 4,912 | 7,969 | 12,032 | 18,267 | 21,976 |
1970 to 1979 | 2,311 | 3,336 | 5,925 | 10,039 | 15,976 | 23,422 | 27,933 |
1980 to 1989 | 3,723 | 4,738 | 7,156 | 10,950 | 16,555 | 22,312 | 26,137 |
1990 to 1997 | 3,518 | 4,283 | 7,281 | 10,815 | 16,860 | 21,812 | 24,893 |
Notes: The data in this table are for households that used electricity. The percentiles describe the distribution of household electricity consumption data; for example, 25% of households in units constructed before 1940 consumed less than 3,867 kWh and 75% consumed more than that amount. |
Figure 1. Annual Electricity Consumption Percentiles by Year Constructed, 1997
(thousand kilowatthours per household)
Notes: The data in this graph are for households that used electricity. The percentiles describe the distribution of household electricity consumption data; for example, 25% of households in units constructed before 1940 consumed less than 3,867 kWh and 75% consumed more than that amount.
Electricity Consumption per Household (kWh) |
Relative Standard Error (percent) | Standard Error (kWh) | 95% confidence level lower bound (kWh) | 95% confidence level upper bound (kWh) | |
---|---|---|---|---|---|
All Households | 10,219 | 1.4 | 430 | 9,939 | 10,499 |
Year Constructed | |||||
Before 1940 | 7,781 | 2.6 | 202 | 7,384 | 8,177 |
1940 to 1949 | 7,641 | 4.8 | 367 | 6,922 | 8,359 |
1950 to 1959 | 9,033 | 3.0 | 271 | 8,502 | 9,564 |
1960 to 1969 | 9,459 | 3.1 | 293 | 8,884 | 10,034 |
1970 to 1979 | 11,976 | 2.9 | 347 | 11,295 | 12,657 |
1980 to 1989 | 12,449 | 2.6 | 324 | 11,814 | 13,083 |
1990 to 1997 | 12,512 | 4.4 | 551 | 11,433 | 13,591 |
Notes: The data in this table are for households that used electricity. The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for electricity consumption in units constructed before 1940 is 7,781 kilowatthours (kWh) and the standard error is 202 kWh. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 7,384 kWh to 8,177 kWh. |
Figure 2. Mean Annual Electricity Consumption (and 95% confidence ranges) by Year Constructed, 1997
(thousand kilowatthours per household)
Notes: The data in this graph are for households that used electricity.
The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for electricity consumption in units constructed before 1940 is 7,781 kilowatthours (kWh) and the standard error is 202 kWh. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 7,384 kWh to 8,177 kWh.
Type of Housing Unit
5th percentile | 10th percentile | 25th percentile | median | 75th percentile | 90th percentile | 95th percentile | |
---|---|---|---|---|---|---|---|
All Households | 2,287 | 3,167 | 5,056 | 8,370 | 13,485 | 19,866 | 24,436 |
Type of Housing Unit |
|||||||
Mobile Home | 3,236 | 3,994 | 6,059 | 10,227 | 16,228 | 21,815 | 24,836 |
Single-Family, Detached |
3,408 | 4,310 | 6,414 | 9,942 | 15,120 | 21,812 | 26,900 |
Single-Family, Attached |
2,149 | 2,841 | 3,993 | 6,542 | 10,501 | 16,726 | 19,533 |
Multifamily, 2 to 4 Units |
1,487 | 1,839 | 3,071 | 4,988 | 8,615 | 12,938 | 16,602 |
Multifamily, 5 or More Units |
1,579 | 1,903 | 2,864 | 4,713 | 7,777 | 12,069 | 14,733 |
Notes: The data in this table are for households that used electricity. The percentiles describe the distribution of household electricity consumption data; for example, 25% of households living in mobile homes consumed less than 6,059 kWh and 75% consumed more than that amount. |
Figure 1. Annual Electricity Consumption Percentiles by Type of Housing Unit, 1997
(thousand kilowatthours per household)
Notes: The data in this graph are for households that used electricity.
The percentiles describe the distribution of household electricity consumption data; for example, 25% of households living in mobile homes consumed less than 6059 kWh and 75% consumed more than that amount.
Electricity Consumption per Household (kWh) | Relative Standard Error (percent) | Standard Error (kWh) | 95% confidence level lower bound (kWh) | 95% confidence level upper bound (kWh) | |
---|---|---|---|---|---|
All Households | 10,219 | 1.4 | 430 | 9,939 | 10,499 |
Type of Housing Unit | |||||
Mobile Home | 11,739 | 4.0 | 470 | 10,818 | 12,659 |
Single-Family, Detached |
11,778 | 1.6 | 188 | 11,409 | 12,147 |
Single-Family, Attached |
8,071 | 3.9 | 315 | 7,454 | 8,688 |
Multifamily, 2 to 4 Units |
6,505 | 5.3 | 345 | 5,829 | 7,181 |
Multifamily, 5 or More Units |
5,990 | 4.2 | 252 | 5,497 | 6,483 |
Notes: The data in this table are for households that used electricity. The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for electricity consumption for mobile homes is 11,739 kWh and the standard error is 470 kWh. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 10,818 kWh to 12,659 kWh. |
Figure 2. Mean Annual Electricity Consumption (and 95% confidence ranges) by Type of Housing Unit, 1997
(thousand kilowatthours per household)
Notes: The data in this graph are for households that used electricity.
The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for electricity consumption for mobile homes is 11,739 kWh and the standard error is 470 kWh. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 10,818 kWh to 12,659 kWh.
Household Income
5th percentile | 10th percentile | 25th percentile | median | 75th percentile | 90th percentile | 95th percentile | |
---|---|---|---|---|---|---|---|
All Households | 2,287 | 3,167 | 5,056 | 8,370 | 13,485 | 19,866 | 24,436 |
Household Income | |||||||
Less than 10,000 Dollars | 1,577 | 2,033 | 3,297 | 5,704 | 9,432 | 14,994 | 19,537 |
10,000 to 14,999 Dollars | 1,778 | 2,250 | 3,798 | 6,313 | 10,249 | 15,780 | 20,878 |
15,000 to 19,999 Dollars | 2,125 | 2,965 | 4,452 | 7,688 | 12,313 | 17,148 | 20,451 |
20,000 to 24,999 Dollars | 2,324 | 3,311 | 4,823 | 8,065 | 12,706 | 18,881 | 23,032 |
25,000 to 34,999 Dollars | 2,774 | 3,358 | 5,210 | 7,922 | 12,534 | 17,845 | 21,853 |
35,000 to 49,999 Dollars | 2,916 | 3,843 | 5,569 | 9,166 | 13,770 | 19,943 | 24,532 |
50,000 to 74,999 Dollars | 3,126 | 4,360 | 6,852 | 10,589 | 16,335 | 22,406 | 26,571 |
More than 75,000 Dollars | 4,047 | 5,000 | 7,777 | 11,814 | 18,044 | 26,207 | 30,556 |
Notes: The data in this table are for households that used electricity. The percentiles describe the distribution of household electricity consumption data; for example, 25% of households with incomes less than 10,000 dollars consumed less than 3,297 kilowatthours (kWh) and 75% consumed more than that amount. |
Figure 1. Annual Electricity Consumption Percentiles by Household Income, 1997
(thousand kilowatthours per household)
Notes: The data in this graph are for households that used electricity.
The percentiles describe the distribution of household electricity consumption data; for example, 25% of households with incomes less than 10,000 dollars consumed less than 3,297 kilowatthours (kWh) and 75% consumed more than that amount.
Electricity Consumption per Household (kWh) |
Relative Standard Error (percent) | Standard Error (kWh) | 95% confidence level lower bound (kWh) | 95% confidence level upper bound (kWh) | |
---|---|---|---|---|---|
All Households | 10,219 | 1.4 | 430 | 9,939 | 10,499 |
Household Income | |||||
Less than 10,000 Dollars | 7,372 | 4.8 | 354 | 6,678 | 8,065 |
10,000 to 14,999 Dollars | 7,975 | 3.8 | 303 | 7,381 | 8,568 |
15,000 to 19,999 Dollars | 9,031 | 3.4 | 307 | 8,429 | 9,633 |
20,000 to 24,999 Dollars | 9,963 | 4.6 | 458 | 9,065 | 10,862 |
25,000 to 34,999 Dollars | 9,652 | 2.3 | 222 | 9,217 | 10,087 |
35,000 to 49,999 Dollars | 10,697 | 2.5 | 267 | 10,173 | 11,221 |
50,000 to 74,999 Dollars | 12,265 | 2.8 | 343 | 11,592 | 12,938 |
More than 75,000 Dollars | 13,988 | 2.8 | 392 | 13,220 | 14,755 |
Notes: The data in this table are for households that used electricity. The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for electricity consumption for households with incomes less than 10,000 dollars is 7,372 kilowatthours (kWh) and the standard error is 354 kWh. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 6,678 kWh to 8,065 kWh. |
Figure 2. Mean Annual Electricity Consumption (and 95% confidence ranges) by Household Income, 1997
(thousand kilowatthours per household)
Notes: The data in this graph are for households that used electricity. The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for electricity consumption for households with incomes less than 10,000 dollars is 7,372 kilowatthours (kWh) and the standard error is 354 kWh. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 6,678 kWh to 8,065 kWh.
5th percentile | 10th percentile | 25th percentile | median | 75th percentile | 90th percentile | 95th percentile | |
---|---|---|---|---|---|---|---|
All Households |
12 | 22 | 43 | 74 | 113 | 154 | 188 |
Notes: The data in this table are for households that used natural gas. The percentiles describe the distribution of household natural gas consumption data; for example, 25% of households consumed less than 43 thousand cubic feet and 75% consumed more than that amount. |
Figure 1. Annual Natural Gas Consumption Percentiles, 1997
(thousand cubic feet per household)
Notes: The data in this graph are for households that used natural gas.
The percentiles describe the distribution of household natural gas consumption data; for example, 25% of households consumed less than 43 thousand cubic feet and 75% consumed more than that amount.
Natural Gas Consumption per Household (1,000 cf) |
Relative Standard Error (percent) | Standard Error (1,000 cf) |
95% confidence level lower bound (1,000 cf) | 95% confidence level upper bound (1,000 cf) | |
---|---|---|---|---|---|
All Households |
83 | 1.8 | 1 | 80 | 86 |
Notes: The data in this table are for households that used natural gas. The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for natural gas consumption for households is 83 thousand cubic feet (cf) and the standard error is 1 thousand cf. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 80 thousand cf to 86 thousand cf. |
Census Division
5th percentile | 10th percentile | 25th percentile | median | 75th percentile | 90th percentile | 95th percentile | |
---|---|---|---|---|---|---|---|
All Households | 12 | 22 | 43 | 74 | 113 | 154 | 188 |
Census Division | |||||||
New England | 4 | 8 | 41 | 83 | 123 | 151 | 166 |
Middle Atlantic | 3 | 5 | 40 | 80 | 119 | 161 | 190 |
East North Central | 38 | 58 | 79 | 114 | 149 | 194 | 218 |
West North Central | 32 | 51 | 72 | 97 | 128 | 165 | 213 |
South Atlantic | 13 | 19 | 33 | 57 | 87 | 109 | 146 |
East South Central | 13 | 22 | 39 | 56 | 86 | 123 | 152 |
West South Central | 20 | 27 | 43 | 61 | 88 | 114 | 135 |
Mountain | 17 | 22 | 43 | 70 | 103 | 133 | 160 |
Pacific | 14 | 20 | 28 | 47 | 66 | 89 | 113 |
Notes: The data in this table are for households that used natural gas. The percentiles describe the distribution of household natural gas consumption data; for example, 25% of households in New England consumed less than 41 thousand cubic feet and 75% consumed more than that amount. |
Figure 1. Annual Natural Gas Consumption Percentiles by Census Division, 1997
(thousand cubic feet per household)
Notes: The data in this graph are for households that used natural gas.
The percentiles describe the distribution of household natural gas consumption data; for example, 25% of households in New England consumed less than 41 thousand cubic feet and 75% consumed more than that amount.
Natural Gas Consumption per Household (1,000 cf) |
Relative Standard Error (percent) | Standard Error (1,000 cf) |
95% confidence level lower bound (1,000 cf) | 95% confidence level upper bound (1,000 cf) | |
---|---|---|---|---|---|
All Households | 83 | 1.8 | 1 | 80 | 86 |
Census Division | |||||
New England | 85 | 5.3 | 4 | 76 | 94 |
Middle Atlantic | 85 | 4.2 | 4 | 78 | 92 |
East North Central | 119 | 1.4 | 2 | 116 | 123 |
West North Central | 104 | 6.7 | 7 | 91 | 118 |
South Atlantic | 65 | 8.9 | 6 | 53 | 76 |
East South Central | 67 | 8.7 | 6 | 56 | 79 |
West South Central | 68 | 8.6 | 6 | 57 | 80 |
Mountain | 77 | 6.6 | 5 | 67 | 87 |
Pacific | 53 | 4.5 | 2 | 48 | 57 |
Notes: The data in this table are for households that used natural gas. The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for natural gas consumption for households in New England is 85 thousand cubic feet (cf) and the standard error is 4 thousand cf. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 76 thousand cf to 94 thousand cf. |
Figure 2. Mean Annual Natural Gas Consumption (and 95% confidence ranges) by Census Division, 1997
(thousand cubic feet per household)
Notes: The data in this graph are for households that used natural gas.
The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for natural gas consumption for households in New England is 85 thousand cubic feet (cf) and the standard error is 4 thousand cf. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 76 thousand cf to 94 thousand cf.
Year Constructed
5th percentile | 10th percentile | 25th percentile | median | 75th percentile | 90th percentile | 95th percentile | |
---|---|---|---|---|---|---|---|
All Households | 12 | 22 | 43 | 74 | 113 | 154 | 188 |
Year Constructed | |||||||
Before 1940 | 5 | 18 | 51 | 97 | 141 | 193 | 217 |
1940 to 1949 | 12 | 23 | 43 | 72 | 112 | 154 | 176 |
1950 to 1959 | 15 | 26 | 49 | 76 | 111 | 142 | 161 |
1960 to 1969 | 14 | 20 | 37 | 66 | 97 | 140 | 174 |
1970 to 1979 | 12 | 20 | 38 | 69 | 103 | 139 | 164 |
1980 to 1989 | 16 | 24 | 46 | 67 | 96 | 120 | 136 |
1990 to 1997 | 18 | 27 | 41 | 68 | 104 | 145 | 199 |
Notes: The data in this table are for households that used natural gas. The percentiles describe the distribution of household natural gas consumption data; for example, 25% of households in units constructed before 1940 consumed less than 51 thousand cubic feet and 75% consumed more than that amount. |
Figure 1. Annual Natural Gas Consumption Percentiles by Year Constructed, 1997
(thousand cubic feet per household)
Notes: The data in this graph are for households that used natural gas.
The percentiles describe the distribution of household natural gas consumption data; for example, 25% of households in units constructed before 1940 consumed less than 51 thousand cubic feet and 75% consumed more than that amount.
Natural Gas Consumption per Household (1,000 cf) |
Relative Standard Error (percent) | Standard Error (1,000 cf) |
95% confidence level lower bound (1,000 cf) | 95% confidence level upper bound (1,000 cf) | |
---|---|---|---|---|---|
All Households | 83 | 1.8 | 1 | 80 | 86 |
Year Constructed | |||||
Before 1940 | 103 | 3.2 | 3 | 97 | 109 |
1940 to 1949 | 81 | 6.6 | 5 | 71 | 92 |
1950 to 1959 | 81 | 3.3 | 3 | 76 | 87 |
1960 to 1969 | 74 | 3.6 | 3 | 69 | 79 |
1970 to 1979 | 76 | 4.0 | 3 | 71 | 82 |
1980 to 1989 | 72 | 4.0 | 3 | 67 | 78 |
1990 to 1997 | 80 | 8.0 | 6 | 67 | 93 |
Notes: The data in this table are for households that used natural gas. The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for natural gas consumption in units constructed before 1940 is 103 thousand cubic feet (cf) and the standard error is 3 thousand cf. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 97 thousand cf to 109 thousand cf. |
Figure 2. Mean Annual Natural Gas Consumption (and 95% confidence ranges) by Year Constructed, 1997
(thousand cubic feet per household)
Notes: The data in this graph are for households that used natural gas.
The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for natural gas consumption in units constructed before 1940 is 103 thousand cubic feet (cf) and the standard error is 3 thousand cf. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 97 thousand cf to 109 thousand cf.
Type of Housing Unit
5th percentile | 10th percentile | 25th percentile | median | 75th percentile | 90th percentile | 95th percentile | |
---|---|---|---|---|---|---|---|
All Households | 12 | 22 | 43 | 74 | 113 | 154 | 188 |
Type of Housing Unit |
|||||||
Mobile Home | 17 | 21 | 38 | 63 | 91 | 123 | 141 |
Single-Family, Detached |
24 | 34 | 56 | 86 | 121 | 162 | 194 |
Single-Family, Attached |
18 | 22 | 41 | 72 | 114 | 153 | 193 |
Multifamily, 2 to 4 Units |
11 | 21 | 41 | 73 | 113 | 160 | 201 |
Multifamily, 5 or More Units |
4 | 5 | 14 | 30 | 52 | 72 | 79 |
Notes: The data in this table are for households that used natural gas. The percentiles describe the distribution of household electricity consumption data; for example, 25% of households living in mobile homes consumed less than 38 thousand cubic feet and 75% consumed more than that amount. |
Figure 1. Annual Natural Gas Consumption Percentiles by Type of Housing Unit, 1997
(thousand cubic feet per household)
Notes: The data in this graph are for households that used natural gas.
The percentiles describe the distribution of household natural gas consumption data; for example, 25% of households living in mobile homes consumed less than 38 thousand cubic feet and 75% consumed more than that amount.
Natural Gas Consumption per Household (1,000 cf) |
Relative Standard Error (percent) | Standard Error (1,000 cf) |
95% confidence level lower bound (1,000 cf) | 95% confidence level upper bound (1,000 cf) | |
---|---|---|---|---|---|
All Households | 83 | 1.8 | 1 | 80 | 86 |
Type of Housing Unit |
|||||
Mobile Home | 68 | 8.3 | 6 | 57 | 79 |
Single-Family, Detached |
94 | 1.9 | 2 | 91 | 97 |
Single-Family, Attached |
83 | 4.4 | 4 | 76 | 90 |
Multifamily, 2 to 4 Units |
86 | 6.8 | 6 | 74 | 97 |
Multifamily, 5 or More Units |
36 | 4.4 | 2 | 33 | 39 |
Notes: The data in this table are for households that used natural gas. The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for natural gas consumption for mobile homes is 68 thousand cubic feet (cf) and the standard error is 6 thousand cf. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 57 thousand cf to 79 thousand cf. |
Figure 2. Mean Annual Natural Gas Consumption (and 95% confidence ranges) by Type of Housing Unit, 1997
(thousand cubic feet per household)
Notes: The data in this graph are for households that used natural gas.
The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for natural gas consumption for households living in mobile homes is 68 thousand cubic feet (cf) and the standard error is 6 thousand cf. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 57 thousand cf to 79 thousand cf.
Household Income
5th percentile | 10th percentile | 25th percentile | median | 75th percentile | 90th percentile | 95th percentile | |
---|---|---|---|---|---|---|---|
All Households | 12 | 22 | 43 | 74 | 113 | 154 | 188 |
Household Income | |||||||
Less than 10,000 Dollars | 4 | 7 | 27 | 54 | 87 | 136 | 162 |
10,000 to 14,999 Dollars | 7 | 20 | 35 | 64 | 92 | 136 | 161 |
15,000 to 19,999 Dollars | 15 | 22 | 36 | 66 | 98 | 145 | 167 |
20,000 to 24,999 Dollars | 12 | 21 | 42 | 72 | 110 | 140 | 175 |
25,000 to 34,999 Dollars | 12 | 22 | 46 | 75 | 109 | 146 | 175 |
35,000 to 49,999 Dollars | 15 | 25 | 47 | 76 | 114 | 161 | 191 |
50,000 to 74,999 Dollars | 22 | 37 | 59 | 88 | 123 | 163 | 188 |
More than 75,000 Dollars |
18 | 27 | 52 | 92 | 129 | 193 | 226 |
Notes: The data in this table are for households that used natural gas. The percentiles describe the distribution of household natural gas consumption data; for example, 25% of households with incomes less than 10,000 dollars consumed less than 27 thousand cubic feet (cf) and 75% consumed more than that amount. |
Figure 1. Annual Natural Gas Consumption Percentiles by Household Income, 1997
(thousand cubic feet per household)
Notes: The data in this graph are for households that used natural gas.
The percentiles describe the distribution of household natural gas consumption data; for example, 25% of households with incomes less than 10,000 dollars consumed less than 27 thousand cubic feet (cf) and 75% consumed more than that amount.
Natural Gas Consumption per Household (1,000 cf) |
Relative Standard Error (percent) | Standard Errors (1,000 cf) | 95% confidence level lower bound (1,000 cf) | 95% confidence level upper bound (1,000 cf) | |
---|---|---|---|---|---|
All Households | 83 | 1.8 | 1 | 80 | 86 |
Household Income | |||||
Less than 10,000 Dollars |
65 | 5.2 | 3 | 58 | 71 |
10,000 to 14,999 Dollars | 71 | 5.0 | 4 | 64 | 78 |
15,000 to 19,999 Dollars | 74 | 3.4 | 3 | 69 | 79 |
20,000 to 24,999 Dollars | 80 | 4.1 | 3 | 74 | 87 |
25,000 to 34,999 Dollars | 82 | 3.8 | 3 | 76 | 88 |
35,000 to 49,999 Dollars | 87 | 3.4 | 3 | 81 | 93 |
50,000 to 74,999 Dollars | 96 | 2.9 | 3 | 90 | 101 |
More than 75,000 Dollars | 100 | 4.5 | 4 | 91 | 109 |
Notes: The data in this table are for households that used natural gas. The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for electricity consumption for households with incomes less than 10,000 dollars is 65 thousand cubic feet (cf) and the standard error is 3 thousand cf. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 58 thousand cf to 71 thousand cf. |
Figure 2. Mean Annual Natural Gas Consumption (and 95% confidence ranges) by Household Income, 1997
(thousand cubic feet per household)
Notes: The data in this graph are for households that used natural gas.
The standard error is a measure of sampling error and can be used to calculate a confidence range. For example, the estimate for electricity consumption for households with incomes less than 10,000 dollars is 65 thousand cubic feet (cf) and the standard error is 3 thousand cf. The 95% confidence interval is calculated by multiplying 1.96 times the standard error, and the 95% confidence range is 58 thousand cf to 71 thousand cf.
Specific questions on this product may be directed to:
Chip Berry
James.Berry@eia.gov
RECS Survey Manager
Phone: (202) 586-5543
Fax: (202) 586-0018
Choose which format you would prefer to download:
1997 PUBLIC USE DATA FILES (ASCII FORMAT)
WHAT IS RECS?
The Residential Energy Consumption Survey (RECS) is a national sample survey of housing units. The survey collects statistical information on the consumption of and expenditures for energy in housing units along with data on energy-related characteristics of the housing units and occupants. The survey is restricted to housing units that are the primary residence of the occupants; the RECS does not cover vacant housing units, second homes, or vacation units. RECS is conducted by the Energy Information Administration of the U.S. Department of Energy. The RECS was conducted in 1978, 1979, 1980, 1981, 1982, 1984, 1987, 1990, 1993, and 1997. For the 1997 RECS, data were obtained for 5,900 housing units. Energy-related characteristics of the housing units and occupants are obtained in an on-site personal interview with the occupants. Energy consumption and expenditures information are obtained from the energy suppliers to the responding households during the Energy Suppliers Survey that follows the household personal interview.
WHAT ARE THE RECS PUBLIC USE FILES?
The 1997 RECS Public Use Files are microdata files that contain 5,900 records, representing housing units from the 50 States and the District of Columbia. Each record corresponds to a single responding, in-scope sampled housing unit and contains information for that unit about the size, year constructed, types of energy used, energy-using equipment, conservation features, energy consumption and expenditures (electricity, natural gas, fuel oil, kerosene, and LPG), and the amount of energy used for five end uses: space heating, air-conditioning, water heating, refrigeration, and other.
WHAT IS THE GEOGRAPHIC LEVEL OF DATA AVAILABLE?
RECS data are available for the four Census regions and nine Census divisions. State-level data are available for the four most populated States (California, Texas New York, and Florida).
WHAT IS THE FORMAT OF THE PUBLIC USE FILES?
The Public Use Files are constructed in two formats—ASCII and Microsoft ACCESS97. Both formats contain the same detail of information, with the notable exception that the ACCESS97 database has replaced all alphanumeric coding with English labeling. In ASCII files all records are comma-delimited with fixed column positions. The creation of comma-delimited ASCII files enables use of EIA's public-use files by a wide spectrum of data users. However, EIA realizes that some users are well versed in the use and manipulation of common database systems. Unfortunately, EIA does not have the resources to provide public-use files in multiple database formats. However, EIA has created an ACCESS97 version of the 1997 RECS because of the internal use of the Microsoft ACCESS97 software. The continuation of multiple format releases is highly dependent upon the use and feedback from our data users. Let us know if you find the ACCESS97 file helpful.
HOW ARE THE PUBLIC USE FILES ORGANIZED?
Because of the size of the RECS database, the variables were grouped into 12 files by section of Household Questionnaire:
- Section A: Housing Unit Characteristics
- Section B: Kitchen Appliances
- Section C: Other Appliances
- Section D: Space heating
- Section E: Water heating,
Section F: Air conditioning,
Section G: lights, doors, windows, and insulation - Section H: Fuels Used and Fuels Payment Method
- Section I: Fuel Bill and Non-Residential Uses on Bill
- Section J: Household Characteristics
- Section K: Energy Assistance,
Section L: EPA Energy Star Program - Characteristic of Energy Supplier Data
- Energy Consumption
- Energy Expenditures
VARIABLES ON EVERY FILE
Several variables are frequently used in the analysis of residential energy data. These include the type of housing unit, the geographic location of the unit, and weather data for the location of the unit. The nine variables on all 12 files are:
- DOEID (unique housing unit identifier)
- NWEIGHT (household weight)
- MQRESULT (mail questionnaire identifier)
- TYPEHUQ (type of housing unit)
- REGIONC (Census region)
- DIVISION (Census division)
- LRGSTATE (indicator for California, Texas, New York, and Florida)
- HDD65 (heating degree-days to 65 degrees for 1997)
- CDD65 (cooling degree-days to 65 degrees for 1997)
HOW TO MERGE FILES
Each of these 12 files can be used by itself or be merged with other files. By merging files together, a new file can be created that contains, for each respondent, variables from two or more files. The variable DOEID can be used to link the files.
HOW TO USE WEIGHTS
The RECS sample was designed so that survey responses could be used to estimate characteristics of the national stock of occupied housing units. In order to arrive at national estimates from the RECS sample, base sampling weights for each housing unit, which were the reciprocal of the probability of that building being selected into the sample, were calculated. Therefore, a housing unit with a base weight of 10,000 represents itself and 9,999 similar, but unsampled housing units in the total stock of occupied residential housing units. The base weight is further adjusted to account for nonresponse bias. Finally, ratio adjustments were used to ensure that the RECS weights add up to Current Population Survey estimates of the number of households. The variable NWEIGHT in the data file is the final weight.
- EXAMPLE 1: SINGLE RESPONSE
- The respondent with DOEID = 5198 has NWEIGHT = 8,064. Hence this respondent represents a total of 8,064 households. The respondent used 820 gallons (GALLONFO = 820) of fuel oil. Hence, the respondent contributed 820 times 8,064 = 6,600,000 gallons to the estimated national total fuel oil consumption.
- EXAMPLE 2: USING NWEIGHT TO ESTIMATE NUMBER OF HOUSEHOLDS
- There were 710, out of the 5,900 RECS respondents, that used fuel oil in their homes (USEFO = 1). Most, but not all, of these households use fuel oil for space heating. The sum of NWEIGHT over these 710 cases is 9,957,479. Hence, the estimated number of households that use fuel oil is 10,000,000.
- EXAMPLE 3: USING NWEIGHT TO ESTIMATE PERCENTAGE OF HOUSEHOLDS
- The sum of NWEIGHT over all 5,900 cases is 101,481,171. This is also an estimate of the total number of households as of July 1997. Hence, the estimated percent of households that use fuel oil (for any use in the home) is (9,957,479/101,481,171) times 100 equals 9.8 percent.
- EXAMPLE 4: USING NWEIGHT TO ESTIMATE TOTAL CONSUMPTION
- To estimate the total fuel oil consumption, multiply NWEIGHT times GALLONFO for the 710 cases where fuel oil is used in the home (USEFO = 1), then sum the product over the cases where USEFO = 1. The resulting estimate is 7,273,294,433 gallons. This should be rounded to 7.3 billion gallons or 7,273 million gallons.
- EXAMPLE 5: USING NWEIGHT TO ESTIMATE AVERAGE CONSUMPTION
- The sum of NWEIGHT over cases where USEFO =1 is 9,957,479. Hence the estimated average fuel oil consumption, in homes that use fuel oil, is 7,273,294,433/9,957,479 = 730 gallons.
MAIL RESPONSES
If the field interviewers were not successful in obtaining a personal interview, a short mail questionnaire was mailed to the housing unit. Variables not on the mail questionnaire were then imputed for the housing unit using a hot deck procedure. There were 181 observations obtained via a mail questionnaire. These 181 records can be identified using the variable MQRESULT.
FUEL USAGE INDICATORS
The variables USEEL, USEFO, USEKERO, USELP, and USENG are indicator variables for the use electricity, fuel oil, kerosene, LPG, and natural gas in the housing unit. They are on three files. They were obtained using section H of the questionnaire and they are indicator variables that equal 1 if the households uses the corresponding fuel and 0 otherwise. In addition to being placed on the file with other section H data, they were also placed on the consumption data file and the expenditures data file.
HOW ARE THE VARIABLES THAT BEGIN WITH A Z DIFFERENT FROM THE NON-Z VARIABLES?
The "Z variables" are also referred to as "imputation flags." Imputation is a statistical procedure used to fill in missing values for respondents that are otherwise considered to be complete. Missing values for many, but not all, of the variables were imputed in 1997. The imputation flag indicates whether the corresponding non-Z variable was based upon reported data (Z variable = 0) or was imputed (Z variable = 1). There are no corresponding "Z variables" for variables from the RECS questionnaire that were not imputed, variables where there was no missing data, and variables that are not from the questionnaire. The missing data codes for the consumption and expenditure data are contained in the "Characteristics of Energy Supplier Data" file.
HOW IS THE SURVEY RESPONDENT'S CONFIDENTIALITY PROTECTED?
There are no respondent names and address on these files. EIA does not receive nor take possession of the names or addresses of individual respondents or any other individually identifiable energy data that could be specifically linked with a housing unit. Local geographic identifiers and National Oceanic and Atmospheric Administration Weather Division identifiers are not included on these data files.
In addition, values for HDD65, CDD65, ELECRATE, and UGASRATE were altered slightly to mask the exact geographic location of the housing unit.
LlNKS TO EACH DATA FILE AND SUPPORTING DOCUMENTATION
For each data file, a codebook is provided (both files are in ASCII format). For files based upon the Household Questionnaire, the corresponding section of the questionnaire is provided (PDF format). To view and/or print PDF files (requires Adobe Acrobat Reader) Download Adobe Acrobat Reader .
Note: To DOWNLOAD one of the Text or PDF files below, click on the file of your choice to open it, then select FILE and SAVE AS, save file to your hard drive or a disk.
Microdata Files | ||||
---|---|---|---|---|
by Topic | Data Files | Codebooks | Questionnaire | Release Date |
File 1: Housing Unit Characteristics | TXT | TXT | Section A | 11/22/2009 |
File 2: Kitchen Appliances | TXT | TXT | Section B | 11/22/2009 |
File 3: Other Appliances | TXT | TXT | Section C | 11/22/2009 |
File 4: Space Heating | TXT | TXT | Section D | 11/22/2009 |
File 5: Water Heating, A/C, and Miscellaneous | TXT | TXT | Sections E, F and G | 11/22/2009 |
File 6: Fuels Used and Fuel Payment | TXT | TXT | Section H | 11/22/2009 |
File 7: Fuel Bills and Non-Residential Uses | TXT | TXT | Section I | 11/22/2009 |
File 8: Household Characteristics | TXT | TXT | Section J | 12/20/2009 |
File 9: Energy Assistance and Housing Unit Square Footage | TXT | TXT | Section K and L | 12/20/2009 |
File 10: Characteristics of Energy Supplier Data | TXT | TXT | 12/20/2009 | |
File 11: Energy Consumption | TXT | TXT | 12/20/2009 | |
File 12: Energy Expenditures | TXT | TXT | 1/10/2000 |
1997 PUBLIC USE DATA FILES IN ACCESS MDB FORMAT
WHAT IS RECS?
The Residential Energy Consumption Survey (RECS) is a national sample survey of housing units. The survey collects statistical information on the consumption of and expenditures for energy in housing units along with data on energy-related characteristics of the housing units and occupants. The survey is restricted to housing units that are the primary residence of the occupants; the RECS does not cover vacant housing units, second homes, or vacation units. RECS is conducted by the Energy Information Administration of the U.S. Department of Energy. The RECS was conducted in 1978, 1979, 1980, 1981, 1982, 1984, 1987, 1990, 1993, and 1997. For the 1997 RECS, data were obtained for 5,900 housing units. Energy-related characteristics of the housing units and occupants are obtained in an on-site personal interview with the occupants. Energy consumption and expenditures information are obtained from the energy suppliers to the responding households during the Energy Suppliers Survey that follows the household personal interview.
WHAT ARE THE RECS PUBLIC USE FILES?
The 1997 RECS Public Use Files are microdata files that contain 5,900 records, representing housing units from the 50 States and the District of Columbia. Each record corresponds to a single responding, in-scope sampled housing unit and contains information for that unit about the size, year constructed, types of energy used, energy-using equipment, conservation features, energy consumption and expenditures (electricity, natural gas, fuel oil, kerosene, and LPG), and the amount of energy used for five end uses: space heating, air-conditioning, water heating, refrigeration, and other.
WHAT IS THE GEOGRAPHIC LEVEL OF DATA AVAILABLE?
RECS data are available for the four Census regions and nine Census divisions. State-level data are available for the four most populated States (California, Texas New York, and Florida).
WHAT IS THE FORMAT OF THE PUBLIC USE FILES?
The Public Use Files are constructed in two formats—ASCII and Microsoft ACCESS97. Both formats contain the same detail of information, with the notable exception that the ACCESS97 database has replaced all alphanumeric coding with English labeling. In ASCII files all records are comma-delimited with fixed column positions. The creation of comma-delimited ASCII files enables use of EIA's public-use files by a wide spectrum of data users. However, EIA realizes that some users are well versed in the use and manipulation of common database systems. Unfortunately, EIA does not have the resources to provide public-use files in multiple database formats. However, EIA has created an ACCESS97 version of the 1997 RECS because of the internal use of the Microsoft ACCESS97 software. The continuation of multiple format releases is highly dependent upon the use and feedback from our data users. Let us know if you find the ACCESS97 file helpful.
HOW ARE THE PUBLIC USE ACCESS97 TABLES ORGANIZED?
Because of the size of the RECS database, the fieldnames (581 unique names) were grouped into 26 tables by logical relationships within the RECS questionnaire:
- Air Conditioning Characteristics –
- Auxiliary Fuels Used –
- Bottled Gas Usage Characteristics –
- Electricity Usage Characteristics –
- Energy Assistance
- Energy Labels
- Final Sample Weights
- Fuel Billing Dates
- Fuel Oil Usage Characteristics –
- Household Characteristics
- Housing Structure
- Imputation Flags
- Interviewer Observations
- Kerosene Usage Characteristics –
- Kitchen Appliances
- Lights Windows and Insulation
- Location and Weather
- Natural Gas Usage Characteristics –
- Other Appliances
- Other Usage Characteristics
- Solar Usage Characteristics –
- Space Heating
- Survey Management
- Water Heating
- Wood Usage Characteristics –
- Pub Use Xwalk
Because we have renamed and reorganized the public use files into two formats, the historical user of RECS data may require further documentation on how the two formats link. The table named Pub Use Xwalk in the ACCESS97 file provides such linking; however, a detailed listing has been made available. Note: A "–" sign following a table name (i.e., a suffix) denotes a table with a record number of less than 5,900 housing units. A subset of the records are presented because the eliminated records are not applicable for the table. For example, only households that use the fuel kerosene are include in theKerosene Usage Characteristics table. Such modifications minimize the size of the ACCESS97 file while maintaining the analytical content of the RECS data. Field values that are blank are considered not applicable for that field name. Iin the case where a second refrigerator is not applicable to the household, for example, blank values have been place into the corresponding second refrigerator field name values.
Listing of RECS Public-Use Field Names
Air Conditioning Characteristics – | |||||
---|---|---|---|---|---|
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
1 | Air Conditioning Characteristics – | HasDucts | Home has ducts (ACDUCTS) | ACDUCTS | file5cbk.txt |
2 | Air Conditioning Characteristics – | PortionCooled | Portion of house cooled (ACHOUSE) | ACHOUSE | file5cbk.txt |
3 | Air Conditioning Characteristics – | ACCoolsOth | A/C equp cools other units (ACOTHERS) | ACOTHERS | file5cbk.txt |
4 | Air Conditioning Characteristics – | RmsCooled | Rooms cooled last summer (ACROOMS) | ACROOMS | file5cbk.txt |
5 | Air Conditioning Characteristics – | AgeCentrACEqp | Age of central A/C equip (AGECENAC) | AGECENAC | file5cbk.txt |
6 | Air Conditioning Characteristics – | HasACEquip | Have air-conditioning equip (AIRCOND) | AIRCOND | file5cbk.txt |
7 | Air Conditioning Characteristics – | HasWinACHeatPmp | Window/wall units are heat pump (ANYWWHP) | ANYWWHP | file5cbk.txt |
8 | Air Conditioning Characteristics – | UsageACTherm | How thermostat used for ac (AUTOCOOL) | AUTOCOOL | file5cbk.txt |
9 | Air Conditioning Characteristics – | CACHeatPmp | Central air heat pump (CENACHP) | CENACHP | file5cbk.txt |
10 | Air Conditioning Characteristics – | TypeAC | Type of ac equip (COOLTYPE) | COOLTYPE | file5cbk.txt |
11 | Air Conditioning Characteristics – | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
12 | Air Conditioning Characteristics – | NumWinAC | Number of w/w a/c units (NUMBERAC) | NUMBERAC | file5cbk.txt |
13 | Air Conditioning Characteristics – | UsageCAC | How central air used (USECENAC) | USECENAC | file5cbk.txt |
14 | Air Conditioning Characteristics – | UsageWinAC | How window/wall a/c used (USEWWAC) | USEWWAC | file5cbk.txt |
15 | Air Conditioning Characteristics – | AgeofMostUsedAC | Age of most used a/c unit (WWACAGE) | WWACAGE | file5cbk.txt |
16 | Air Conditioning Characteristics – | NumWinACHeatPmp | Num of ww/ac heat pumps (WWHTPUMP) | WWHTPUMP | file5cbk.txt |
Auxiliary Fuels Used – | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
17 | Auxiliary Fuels Used – | OthEqpFuel | Fuel used by other equip (DIFFUEL) | DIFFUEL | file4cbk.txt |
18 | Auxiliary Fuels Used – | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
19 | Auxiliary Fuels Used – | AuxFireplaceFuel | Aux fireplace fuel (FPFUEL) | FPFUEL | file4cbk.txt |
20 | Auxiliary Fuels Used – | AuxFurnFuel | Aux warm air furnace fuel (FURNFUEL) | FURNFUEL | file4cbk.txt |
21 | Auxiliary Fuels Used – | AuxHTStoveFuel | Aux heating stove fuel (HSFUEL) | HSFUEL | file4cbk.txt |
22 | Auxiliary Fuels Used – | AuxPipeFurnFuel | Aux pipeless furnace fuel (PIPEFUEL) | PIPEFUEL | file4cbk.txt |
23 | Auxiliary Fuels Used – | AuxSteamSysFuel | Aux steam system fuel (RADFUEL) | RADFUEL | file4cbk.txt |
24 | Auxiliary Fuels Used – | AuxRmHeatFuel | Aux room heater fuel (RMHTFUEL) | RMHTFUEL | file4cbk.txt |
25 | Auxiliary Fuels Used – | AuxCKStoveFuel | Aux cooking stove fuel (RNGFUEL) | RNGFUEL | file4cbk.txt |
Bottled Gas Usage Characteristics – | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
26 | Bottled Gas Usage Characteristics – | PctLPGBillOth | Pct lpg bill for oth purp (BILLLPGP) | BILLLPGP | file7cbk.txt |
27 | Bottled Gas Usage Characteristics – | UseLPGforOth | Lpg used for other purposes (BLPUSE) | BLPUSE | file7cbk.txt |
28 | Bottled Gas Usage Characteristics – | AnnLPGUsekBtu | Lpg annual use in thousands of btu (BTULP) | BTULP | file11cbk.txt |
29 | Bottled Gas Usage Characteristics – | EstLPGApplkBtu | Lpg appl use est in thousands of btu (BTULPAPL) | BTULPAPL | file11cbk.txt |
30 | Bottled Gas Usage Characteristics – | EstLPGSHkBtu | Lpg space heat use est in ks of btu (BTULPSPH) | BTULPSPH | file11cbk.txt |
31 | Bottled Gas Usage Characteristics – | EstLPGWHkBtu | Lpg water heat use est in ks of btu (BTULPWTH) | BTULPWTH | file11cbk.txt |
32 | Bottled Gas Usage Characteristics – | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
33 | Bottled Gas Usage Characteristics – | LPGCost$ | Estimated cost of lpg in dollars (DOLLARLP) | DOLLARLP | file12cbk.txt |
34 | Bottled Gas Usage Characteristics – | EstLPGAppl$ | Lpg appl use est in dollars (DOLLPAPL) | DOLLPAPL | file12cbk.txt |
35 | Bottled Gas Usage Characteristics – | EstLPGSH$ | Lpg space heat use est in dollars (DOLLPSPH) | DOLLPSPH | file12cbk.txt |
36 | Bottled Gas Usage Characteristics – | EstLPGWH$ | Lpg water heat use est in dollars (DOLLPWTH) | DOLLPWTH | file12cbk.txt |
37 | Bottled Gas Usage Characteristics – | EstLPGPur(Gal) | Est gallons of lpg bought (GALLONLP) | GALLONLP | file11cbk.txt |
38 | Bottled Gas Usage Characteristics – | HowLPGPaid | How lpg is paid (HOWPAYLP) | HOWPAYLP | file6cbk.txt |
39 | Bottled Gas Usage Characteristics – | LPGDatafromHH | Lpg data from supplier or household (KAVALPG) | KAVALPG | file10cbk.txt |
40 | Bottled Gas Usage Characteristics – | UseLPGCookIn | Uses lpg to cook inside (LPCOOK) | LPCOOK | file6cbk.txt |
41 | Bottled Gas Usage Characteristics – | HasLPGDelivered | Lpg delivered to your home (LPGDELV) | LPGDELV | file6cbk.txt |
42 | Bottled Gas Usage Characteristics – | UseLPGforanyOth | Uses lpg for any other purpose (LPOTHER) | LPOTHER | file6cbk.txt |
43 | Bottled Gas Usage Characteristics – | UseLPGforHeat | Uses lpg to heat home (LPWARM) | LPWARM | file6cbk.txt |
44 | Bottled Gas Usage Characteristics – | UseLPGforH2O | Uses lpg to heat water (LPWATER) | LPWATER | file6cbk.txt |
45 | Bottled Gas Usage Characteristics – | NumCompDeliverLPG | Num companies deliver lpg (NDIFLPCO) | NDIFLPCO | file6cbk.txt |
46 | Bottled Gas Usage Characteristics – | NumYearlyLPDeliver | Num lpg deliveries past yr (NLPDELNC) | NLPDELNC | file6cbk.txt |
47 | Bottled Gas Usage Characteristics – | SourceofLPG$ | Source of estimated cost of lpg (ORIGLPC) | ORIGLPC | file10cbk.txt |
48 | Bottled Gas Usage Characteristics – | SourceofLPGEst | Source of estimated quantity of lpg (ORIGLPQ) | ORIGLPQ | file10cbk.txt |
49 | Bottled Gas Usage Characteristics – | LPGDataCode | Summary code for source of lpg data (ORIGLPS) | ORIGLPS | file10cbk.txt |
50 | Bottled Gas Usage Characteristics – | WhoPaysLPG | Who pays for bottled gas (PAYLPG) | PAYLPG | file6cbk.txt |
51 | Bottled Gas Usage Characteristics – | LPGDataTimePeriod | Period of time lpg data available (PERIODLP) | PERIODLP | file10cbk.txt |
52 | Bottled Gas Usage Characteristics – | HasLPGBeenScaledDown | Lp use scaled down for nonhsld uses (SCALELP) | SCALELP | file10cbk.txt |
53 | Bottled Gas Usage Characteristics – | LPGTypeSup1 | Lpg type from supplier 1 (TYPELP1) | TYPELP1 | file10cbk.txt |
54 | Bottled Gas Usage Characteristics – | LPGTypeSup2 | Lpg type from supplier 2 (TYPELP2) | TYPELP2 | file10cbk.txt |
55 | Bottled Gas Usage Characteristics – | UseLPGinHome | Household uses lpg (USELP) | USELP | file6cbk.txt |
Electricity Usage Characteristics – | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
56 | Electricity Usage Characteristics – | UseELforOth | Elec used for other purposes (BILLEL) | BILLEL | file7cbk.txt |
57 | Electricity Usage Characteristics – | PctELBillOth | Pct elec bill for oth purp (BILLELP) | BILLELP | file7cbk.txt |
58 | Electricity Usage Characteristics – | AnnELUsekBtu | El annual use in thousands of btu (BTUEL) | BTUEL | file11cbk.txt |
59 | Electricity Usage Characteristics – | EstELApplkBtu | El appliance use est in ks of btu (BTUELAPL) | BTUELAPL | file11cbk.txt |
60 | Electricity Usage Characteristics – | EstELDryerkBtu | El dryer use est in thousands of btu (BTUELCDR) | BTUELCDR | file11cbk.txt |
61 | Electricity Usage Characteristics – | EstELCookingkBtu | El cooking use est in thous of btu (BTUELCOK) | BTUELCOK | file11cbk.txt |
62 | Electricity Usage Characteristics – | EstELAckBtu | El air cond use est in thous of btu (BTUELCOL) | BTUELCOL | file11cbk.txt |
63 | Electricity Usage Characteristics – | EstELDWkBtu | El dishwasher use est in thous of btu (BTUELDWH) | BTUELDWH | file11cbk.txt |
64 | Electricity Usage Characteristics – | EstELFreezerkBtu | El freezer use est in thous of btu (BTUELFZZ) | BTUELFZZ | file11cbk.txt |
65 | Electricity Usage Characteristics – | EstELRefrigkBtu | El refrig use est in thousands of btu (BTUELRFG) | BTUELRFG | file11cbk.txt |
66 | Electricity Usage Characteristics – | EstELSHkBtu | El space heat use est in thous of btu (BTUELSPH) | BTUELSPH | file11cbk.txt |
67 | Electricity Usage Characteristics – | EstELWHkBtu | El water heat use est in thous of btu (BTUELWTH) | BTUELWTH | file11cbk.txt |
68 | Electricity Usage Characteristics – | MaySelectSupplier | Able to select fuel supplier (DEREG) | DEREG | file6cbk.txt |
69 | Electricity Usage Characteristics – | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
70 | Electricity Usage Characteristics – | EstELAppl$ | El appliance use est in dollars (DOLELAPL) | DOLELAPL | file12cbk.txt |
71 | Electricity Usage Characteristics – | EstELDryer$ | El clothes dryer use est in dollars (DOLELCDR) | DOLELCDR | file12cbk.txt |
72 | Electricity Usage Characteristics – | EstELCooking$ | El cooking use est in dollars (DOLELCOK) | DOLELCOK | file12cbk.txt |
73 | Electricity Usage Characteristics – | EstELAC$ | El air cond use est in dollars (DOLELCOL) | DOLELCOL | file12cbk.txt |
74 | Electricity Usage Characteristics – | EstELDW$ | El dishwasher use est in dollars (DOLELDWH) | DOLELDWH | file12cbk.txt |
75 | Electricity Usage Characteristics – | EstFreezerEnergy$ | El freezer use est in dollars (DOLELFZZ) | DOLELFZZ | file12cbk.txt |
76 | Electricity Usage Characteristics – | EstRefrigEnergy$ | El refrig use est in dollars (DOLELRFG) | DOLELRFG | file12cbk.txt |
77 | Electricity Usage Characteristics – | EstELSH$ | El space heating use est in dollars (DOLELSPH) | DOLELSPH | file12cbk.txt |
78 | Electricity Usage Characteristics – | EstELWH$ | El water heating use est in dollars (DOLELWTH) | DOLELWTH | file12cbk.txt |
79 | Electricity Usage Characteristics – | ELCost$ | Estimated cost of el in dollars (DOLLAREL) | DOLLAREL | file12cbk.txt |
80 | Electricity Usage Characteristics – | UseELforAC | Uses electric for a/c (ELCOOL) | ELCOOL | file6cbk.txt |
81 | Electricity Usage Characteristics – | ELRate(local) | Local electric rate for 1000kwh (ELECRATE) | ELECRATE | file10cbk.txt |
82 | Electricity Usage Characteristics – | UseELforCook | Uses electric for cooking (ELFOOD) | ELFOOD | file6cbk.txt |
83 | Electricity Usage Characteristics – | UseELforanyOth | Uses electric for any other (ELOTHER) | ELOTHER | file6cbk.txt |
84 | Electricity Usage Characteristics – | UseELforHeat | Uses electric for heating home (ELWARM) | ELWARM | file6cbk.txt |
85 | Electricity Usage Characteristics – | UseELforH2O | Uses electric for hot water (ELWATER) | ELWATER | file6cbk.txt |
86 | Electricity Usage Characteristics – | HowELtricityPaid | How electricy is paid (HOWPAYEL) | HOWPAYEL | file6cbk.txt |
87 | Electricity Usage Characteristics – | ELDatafromHH | El data from supplier or household (KAVALEL) | KAVALEL | file10cbk.txt |
88 | Electricity Usage Characteristics – | CertaintyofEnergyAns | Certainty of energy answers (KNWLDGE) | KNWLDGE | file6cbk.txt |
89 | Electricity Usage Characteristics – | EstELPur(kWh) | Estimated kilowatt hours of el used (KWH) | KWH | file11cbk.txt |
90 | Electricity Usage Characteristics – | SourceofEL$ | Source of estimated cost of el (ORIGELC) | ORIGELC | file10cbk.txt |
91 | Electricity Usage Characteristics – | SourceofELEst | Source of estimated quantity of el (ORIGELQ) | ORIGELQ | file10cbk.txt |
92 | Electricity Usage Characteristics – | ELDataCode | Summary code for source of el data (ORIGELS) | ORIGELS | file10cbk.txt |
93 | Electricity Usage Characteristics – | WhoPaysELAC | Who pays elec for a/c (PELAC) | PELAC | file6cbk.txt |
94 | Electricity Usage Characteristics – | WhoPaysELCook | Who pays elec for cooking (PELCOOK) | PELCOOK | file6cbk.txt |
95 | Electricity Usage Characteristics – | WhoPaysELHT | Who pays elec for home heat (PELHEAT) | PELHEAT | file6cbk.txt |
96 | Electricity Usage Characteristics – | WhoPaysELH2O | Who pays elec for hot wtr (PELHOTWA) | PELHOTWA | file6cbk.txt |
97 | Electricity Usage Characteristics – | WhoPaysELAppl | Who pays elec for lts/appl (PELLIGHT) | PELLIGHT | file6cbk.txt |
98 | Electricity Usage Characteristics – | ELDataTimePeriod | Period of time el data available (PERIODEL) | PERIODEL | file10cbk.txt |
99 | Electricity Usage Characteristics – | HasELBeenScaledDown | El use scaled down for nonhsld uses (SCALEEL) | SCALEEL | file10cbk.txt |
100 | Electricity Usage Characteristics – | UseELinHome | Household uses electricity (USEEL) | USEEL | file6cbk.txt |
101 | Electricity Usage Characteristics – | FuelShoppable | Fuel hhldr can shop for (WCHFUEL) | WCHFUEL | file6cbk.txt |
Energy Assistance | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
102 | Energy Assistance | AmtofNoHeat | Amount of time w/o heat (AMTNOHT) | AMTNOHT | file9cbk.txt |
103 | Energy Assistance | GovtPdHeatAidCash | Got heat aid cash from govt (CASHAID) | CASHAID | file9cbk.txt |
104 | Energy Assistance | HasAnyWelfare | Afdc/ssi/welfare last 12 months (CASHBEN) | CASHBEN | file9cbk.txt |
105 | Energy Assistance | HasCoolGovtAsst | Govt helped pay home cool (COOLAID) | COOLAID | file9cbk.txt |
106 | Energy Assistance | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
107 | Energy Assistance | GovtAsstPaidDirect | Govt paid heat co directly (FUELPAID) | FUELPAID | file9cbk.txt |
108 | Energy Assistance | TotalGovtAsstHeat | Total heat costs pd by govt (GOVTAMT) | GOVTAMT | file9cbk.txt |
109 | Energy Assistance | HasHeatGovtAsst | Govt helped pay home heat (HEATAID) | HEATAID | file9cbk.txt |
110 | Energy Assistance | UnitsofNoHeat | Unit of time w/o heat (HRSDYS) | HRSDYS | file9cbk.txt |
111 | Energy Assistance | HasOthGovtAsst | Govt helped pay oth costs (LIFELINE) | LIFELINE | file9cbk.txt |
112 | Energy Assistance | EligforLIHEAP | Eligibility for low income heat help (LIHEAP) | LIHEAP | file8cbk.txt |
113 | Energy Assistance | HasFoodStamps | Food stmps/housing last 12 months (NCASHBEN) | NCASHBEN | file9cbk.txt |
114 | Energy Assistance | DurofNoHeat | Time without main heat (NNOHEAT) | NNOHEAT | file9cbk.txt |
115 | Energy Assistance | NoHeatAprtoSep | No heat apr 96 - sept 96 (NOHSUM) | NOHSUM | file9cbk.txt |
116 | Energy Assistance | NoHeatOcttoMar | No heat oct 95 - mar 96 (NOHWIN) | NOHWIN | file9cbk.txt |
117 | Energy Assistance | HasNOLIHEAP | No liheap in last 12 months (NOLIHEAP) | NOLIHEAP | file9cbk.txt |
118 | Energy Assistance | ELCutoff | Electricity discontinued (NOPAY) | NOPAY | file9cbk.txt |
119 | Energy Assistance | NoHeat | No heat-unable to pay util (NOPYEL) | NOPYEL | file9cbk.txt |
120 | Energy Assistance | NoHeatduetoRepair | No heat-unable to pay repr (NOPYFIX) | NOPYFIX | file9cbk.txt |
121 | Energy Assistance | NoHeatduetoBill | No heat-unable to pay fuel (NOPYFL) | NOPYFL | file9cbk.txt |
122 | Energy Assistance | OthGovtAsstwHeat | Govt help w/ heat $ oth way (OTHERPMT) | OTHERPMT | file9cbk.txt |
123 | Energy Assistance | AbleHeatOthWay | Able to heat home oth way (OTHERWAY) | OTHERWAY | file9cbk.txt |
124 | Energy Assistance | HasRetirePast12mths | Retire inc in past 12 months (RETIREPY) | RETIREPY | file9cbk.txt |
125 | Energy Assistance | WagesPast12mths | Wages/self emp in last 12 months (WORKPAY) | WORKPAY | file9cbk.txt |
Energy Labels | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
126 | Energy Labels | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
127 | Energy Labels | HasStaronCAC | Star label on central ac (EPACAIR) | EPACAIR | file9cbk.txt |
128 | Energy Labels | HasStaronCopier | Star label on copier (EPACOPY) | EPACOPY | file9cbk.txt |
129 | Energy Labels | HasStaronDW | Star label on dishwasher (EPADISH) | EPADISH | file9cbk.txt |
130 | Energy Labels | HasStaronFax | Star label on fax (EPAFAX) | EPAFAX | file9cbk.txt |
131 | Energy Labels | HasStaronFrig | Star label on refigerator (EPAFRIG) | EPAFRIG | file9cbk.txt |
132 | Energy Labels | HasStaronFurn | Star label on furnace (EPAFURN) | EPAFURN | file9cbk.txt |
133 | Energy Labels | HasStaronNewHome | Star label on new home (EPAHOME) | EPAHOME | file9cbk.txt |
134 | Energy Labels | HasStaronHTPmp | Star label on heat pump (EPAHP) | EPAHP | file9cbk.txt |
135 | Energy Labels | HasStaronOth | Star label on other (EPAOTHER) | EPAOTHER | file9cbk.txt |
136 | Energy Labels | HasStaronPC | Star label on computer (EPAPC) | EPAPC | file9cbk.txt |
137 | Energy Labels | HasStaronPrint | Star label on printer (EPAPRINT) | EPAPRINT | file9cbk.txt |
138 | Energy Labels | HasStaronWinAC | Star label on room ac (EPARAC) | EPARAC | file9cbk.txt |
139 | Energy Labels | HasStaronTherm | Star label on thermostat (EPATHERM) | EPATHERM | file9cbk.txt |
140 | Energy Labels | EnergyLabelImpactBuy | Yellow lbl influenced decision (FTCCHNG) | FTCCHNG | file9cbk.txt |
141 | Energy Labels | ReadELabel | Read yellow label (READLBL) | READLBL | file9cbk.txt |
142 | Energy Labels | AwareEnergyLabel | Familiar with yellow label (SEENLBL) | SEENLBL | file9cbk.txt |
143 | Energy Labels | AwareEnergyStar | Familiar with energy star label (SEENSTAR) | SEENSTAR | file9cbk.txt |
144 | Energy Labels | HasStarImpactBuy | Star label influenced decision (STARINFL) | STARINFL | file9cbk.txt |
Final Sample Weights | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
145 | Final Sample Weights | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
146 | Final Sample Weights | FinalWeight | The final sample weight (NWEIGHT) | NWEIGHT | All Files |
Fuel Billing Dates | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
147 | Fuel Billing Dates | TypeBegEL | Type el reading on beginning date (BEGINELR) | BEGINELR | file10cbk.txt |
148 | Fuel Billing Dates | TypeBegUgas | Type ug reading on beginning date (BEGINNGR) | BEGINNGR | file10cbk.txt |
149 | Fuel Billing Dates | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
150 | Fuel Billing Dates | TypeEndEL | Type el reading on ending date (ENDELR) | ENDELR | file10cbk.txt |
151 | Fuel Billing Dates | TypeEndUgas | Type ug reading on ending date (ENDNGR) | ENDNGR | file10cbk.txt |
Fuel Oil Usage Characteristics – | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
152 | Fuel Oil Usage Characteristics – | UseFOforOth | Fo used for other purposes (BILLFOIL) | BILLFOIL | file7cbk.txt |
153 | Fuel Oil Usage Characteristics – | PctFOBillOth | Pct fo bill for oth purp (BILLFOLP) | BILLFOLP | file7cbk.txt |
154 | Fuel Oil Usage Characteristics – | AnnFOUsekBtu | Fo annual use in thousands of btu (BTUFO) | BTUFO | file11cbk.txt |
155 | Fuel Oil Usage Characteristics – | EstFOApplkBtu | Fuel oil appl use est in thous of btu (BTUFOAPL) | BTUFOAPL | file11cbk.txt |
156 | Fuel Oil Usage Characteristics – | EstFOSHkBtu | Fo space heat use est thou of btu (BTUFOSPH) | BTUFOSPH | file11cbk.txt |
157 | Fuel Oil Usage Characteristics – | EstFOWHkBtu | Fo water heat use est in thou of btu (BTUFOWTH) | BTUFOWTH | file11cbk.txt |
158 | Fuel Oil Usage Characteristics – | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
159 | Fuel Oil Usage Characteristics – | EstFOAppl$ | Fuel oil appl use est in dollars (DOLFOAPL) | DOLFOAPL | file12cbk.txt |
160 | Fuel Oil Usage Characteristics – | EstFOSH$ | FO space heat use est in dollars (DOLFOSPH) | DOLFOSPH | file12cbk.txt |
161 | Fuel Oil Usage Characteristics – | EstFOWH$ | FO water heat use est in dollars (DOLFOWTH) | DOLFOWTH | file12cbk.txt |
162 | Fuel Oil Usage Characteristics – | FOCost$ | Estimated cost of fo in dollars (DOLLARFO) | DOLLARFO | file12cbk.txt |
163 | Fuel Oil Usage Characteristics – | HasFODelivered | Fuel oil delivered (FODEL) | FODEL | file6cbk.txt |
164 | Fuel Oil Usage Characteristics – | UseFOforHeat | Uses fo to heat home (FOWARM) | FOWARM | file6cbk.txt |
165 | Fuel Oil Usage Characteristics – | UseFOforH2O | Uses fo to heat water (FOWATER) | FOWATER | file6cbk.txt |
166 | Fuel Oil Usage Characteristics – | EstFOPur(Gal) | Est gallons of fuel oil bought (GALLONFO) | GALLONFO | file11cbk.txt |
167 | Fuel Oil Usage Characteristics – | HowFuelOilPaid | How fuel oil is paid (HOWPAYFO) | HOWPAYFO | file6cbk.txt |
168 | Fuel Oil Usage Characteristics – | FODatafromHH | Fo data from supplier or household (KAVALFO) | KAVALFO | file10cbk.txt |
169 | Fuel Oil Usage Characteristics – | NumCompDeliverFO | Num of diff fo companies (NDIFFOCO) | NDIFFOCO | file6cbk.txt |
170 | Fuel Oil Usage Characteristics – | NumYearlyFODeliver | Num fo deliveries past yr (NFODELNC) | NFODELNC | file6cbk.txt |
171 | Fuel Oil Usage Characteristics – | SourceofFO$ | Source of estimated cost of fo (ORIGFOC) | ORIGFOC | file10cbk.txt |
172 | Fuel Oil Usage Characteristics – | SourceofFOEst | Source of estimated quantity of fo (ORIGFOQ) | ORIGFOQ | file10cbk.txt |
173 | Fuel Oil Usage Characteristics – | FODataCode | Summary code for source of fo data (ORIGFOS) | ORIGFOS | file10cbk.txt |
174 | Fuel Oil Usage Characteristics – | WhoPaysFO | Who pays for fuel oil (PAYFO) | PAYFO | file6cbk.txt |
175 | Fuel Oil Usage Characteristics – | FODataTimePeriod | Period of time fo data available (PERIODFO) | PERIODFO | file10cbk.txt |
176 | Fuel Oil Usage Characteristics – | UseFOPastYear | Fuel oil used past year (QUANTFO) | QUANTFO | file6cbk.txt |
177 | Fuel Oil Usage Characteristics – | HasFOBeenScaledDown | Fo use scaled down for nonhsld uses (SCALEFO) | SCALEFO | file10cbk.txt |
178 | Fuel Oil Usage Characteristics – | FOTypeSup1 | Fuel oil type from supplier 1 (TYPEFO1) | TYPEFO1 | file10cbk.txt |
179 | Fuel Oil Usage Characteristics – | FOTypeSup2 | Fuel oil type from supplier 2 (TYPEFO2) | TYPEFO2 | file10cbk.txt |
180 | Fuel Oil Usage Characteristics – | UseFOinHome | Household uses fuel oil (USEFO) | USEFO | file6cbk.txt |
Household Characteristics | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
181 | Household Characteristics | Is24hrsOccup | Someone home all day (ATHOME) | ATHOME | file8cbk.txt |
182 | Household Characteristics | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
183 | Household Characteristics | HasRegVehUse | Have regular use of vehicle (DRIVECAR) | DRIVECAR | file8cbk.txt |
184 | Household Characteristics | NumofDrivers | Number of drivers in hh (DRIVEMON) | DRIVEMON | file8cbk.txt |
185 | Household Characteristics | EmplofHouseholder | Employment of householder (EMPLOYHH) | EMPLOYHH | file8cbk.txt |
186 | Household Characteristics | HasHomeBus | Home-based business (HBUSNESS) | HBUSNESS | file8cbk.txt |
187 | Household Characteristics | AgeofHouseholder | Age of householder (HHAGE) | HHAGE | file8cbk.txt |
188 | Household Characteristics | SexofHouseholder | Sex of householder (HHSEX) | HHSEX | file8cbk.txt |
189 | Household Characteristics | IsLargeUser | hh uses high amount of energy (HIACT) | HIACT | file8cbk.txt |
190 | Household Characteristics | HowUtilitiesPaid | How utilities are paid (HOWPAID) | HOWPAID | file6cbk.txt |
191 | Household Characteristics | FamInc>45k | Alternate response for Income Refusal: gt or lt $45 (INC45PLU) | INC45PLU | file8cbk.txt |
192 | Household Characteristics | FamilyAnnualIncome | Family income last 12 months (MONEYPY) | MONEYPY | file8cbk.txt |
193 | Household Characteristics | NumofHHMems | Number of household members (NHSLDMEM) | NHSLDMEM | file8cbk.txt |
194 | Household Characteristics | RaceofHouseholder | Race of householder (ORIGIN) | ORIGIN | file8cbk.txt |
195 | Household Characteristics | HasOthEUse | Other using much energy (OTHWORK) | OTHWORK | file8cbk.txt |
196 | Household Characteristics | 100PctBelowPovrty | Below 100 percent of poverty (POOR100) | POOR100 | file8cbk.txt |
197 | Household Characteristics | 125PctBelowPovrty | Below 125 percent of poverty (POOR125) | POOR125 | file8cbk.txt |
198 | Household Characteristics | 150PctBelowPovrty | Below 150 percent of poverty (POOR150) | POOR150 | file8cbk.txt |
199 | Household Characteristics | IsHouseholderHispanic | Householder of hispanic origin (SDESCENT) | SDESCENT | file8cbk.txt |
200 | Household Characteristics | LiveswithSpouse | Hhldr lives with spouse (SPOUSE) | SPOUSE | file8cbk.txt |
201 | Household Characteristics | NumofVehs | Number of vehicles (VEHICLES) | VEHICLES | file8cbk.txt |
202 | Household Characteristics | Num<1 | Infants in hh under 1 (YEARS1) | YEARS1 | file8cbk.txt |
203 | Household Characteristics | Num1to12 | Children in hh 1-12 (YEARS2) | YEARS2 | file8cbk.txt |
204 | Household Characteristics | Num>65 | Adults in hh over 65 (YEARS3) | YEARS3 | file8cbk.txt |
205 | Household Characteristics | Num>75 | Adults in hh over 75 (YEARS4) | YEARS4 | file8cbk.txt |
206 | Housing Structure | HeatedBasement | Basement/crawl space heated (BASEHEAT) | BASEHEAT | file1cbk.txt |
207 | Housing Structure | NumofBedrooms | Number of bedrooms (BEDROOMS) | BEDROOMS | file1cbk.txt |
208 | Housing Structure | HasCoveredCarport | Covered carport present (CARPORT) | CARPORT | file1cbk.txt |
209 | Housing Structure | HasBasement | Home has basement (CELLAR) | CELLAR | file1cbk.txt |
210 | Housing Structure | SQFTCom | Space for commercial activity (COMMAMT) | COMMAMT | file1cbk.txt |
211 | Housing Structure | HasComSQFT | Apt bldg has commercial space (COMMUSE) | COMMUSE | file1cbk.txt |
212 | Housing Structure | OnConcreteSlab | Home has concrete slab (CONCRETE) | CONCRETE | file1cbk.txt |
213 | Housing Structure | HasCrawlSpace | Home has crawl space (CRAWL) | CRAWL | file1cbk.txt |
214 | Housing Structure | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
215 | Housing Structure | Has1-CarGarage | One-car garage present (GARAGE1C) | GARAGE1C | file1cbk.txt |
216 | Housing Structure | Has2-CarGarage | Two-car garage present (GARAGE2C) | GARAGE2C | file1cbk.txt |
217 | Housing Structure | Has3ormore-CarGarage | 3/more car garage present (GARAGE3C) | GARAGE3C | file1cbk.txt |
218 | Housing Structure | QualitySQFTHeatedEst | Certainty of sqft estimate (HOWSURE) | HOWSURE | file1cbk.txt |
219 | Housing Structure | IsPublicHousing | Reside in public housing proj (HUPROJ) | HUPROJ | file1cbk.txt |
220 | Housing Structure | CondoandorCo-op | Dwelling is Condo/Co-op (KCOPCOND) | KCOPCOND | file1cbk.txt |
221 | Housing Structure | IsHouseOwned | Dwelling owned or rented (KOWNRENT) | KOWNRENT | file1cbk.txt |
222 | Housing Structure | MobileHomeWidth | Width of mobile home (MHWIDTH) | MHWIDTH | file1cbk.txt |
223 | Housing Structure | NumofBaths | Number of complete baths (NCOMBATH) | NCOMBATH | file1cbk.txt |
224 | Housing Structure | NumofHalf-baths | Number of half baths (NHAFBATH) | NHAFBATH | file1cbk.txt |
225 | Housing Structure | NumofFloors | Num floors in apt building (NUMFLRS) | NUMFLRS | file1cbk.txt |
226 | Housing Structure | Occupiedafter12-31-94 | Moved in after 12-31-94 (OCCUPY) | OCCUPY | file1cbk.txt |
227 | Housing Structure | BegMonthOccupied | Month moved into home (OCCUPYM) | OCCUPYM | file1cbk.txt |
228 | Housing Structure | BegYearOccupied | Year moved into home (OCCUPYY) | OCCUPYY | file1cbk.txt |
229 | Housing Structure | PurposeofStructure | Original purpose of structure (ORIGTYP) | ORIGTYP | file1cbk.txt |
230 | Housing Structure | NumofOthRooms | Number of other rooms (OTHROOMS) | OTHROOMS | file1cbk.txt |
231 | Housing Structure | UseofApt | Original intent of apt bldg (PRIORUSE) | PRIORUSE | file1cbk.txt |
232 | Housing Structure | HasGarage | Home has garage or carport (PRKGPLCE) | PRKGPLCE | file1cbk.txt |
233 | Housing Structure | SQFTHeated | Total heated floorspace (SQFTEST) | SQFTEST | file1cbk.txt |
234 | Housing Structure | EstSQFTHeated | Model-based est. of heated sq ft (SQFTREG) | SQFTREG | file1cbk.txt |
235 | Housing Structure | NumofStories | Stories in housing unit (STORIES) | STORIES | file1cbk.txt |
236 | Housing Structure | NumofAllRooms | Calculated sum of all rooms (TOTROOMS) | TOTROOMS | file1cbk.txt |
237 | Housing Structure | HasTreeShade | Trees shade home (TREESHAD) | TREESHAD | file5cbk.txt |
238 | Housing Structure | TypeofHousehold | Respondent reported type of home (TYPEHUQ) | TYPEHUQ | All Files |
239 | Housing Structure | YearBuilt | Year home built (YEARMADE) | YEARMADE | file1cbk.txt |
Imputation Flags | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
240 | Imputation Flags | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
241 | Imputation Flags | FlagforZACDUCTS | Imputation flag for acducts (ZACDUCTS) | ZACDUCTS | file5cbk.txt |
242 | Imputation Flags | FlagforZACHOUSE | Imputation flag for achouse (ZACHOUSE) | ZACHOUSE | file5cbk.txt |
243 | Imputation Flags | FlagforZACOTHER | Imputation flag for acothers (ZACOTHER) | ZACOTHER | file5cbk.txt |
244 | Imputation Flags | FlagforZACROOMS | Imputation flag for acrooms (ZACROOMS) | ZACROOMS | file5cbk.txt |
245 | Imputation Flags | FlagforZADQINSU | Imputation flag for adqinsul (ZADQINSU) | ZADQINSU | file5cbk.txt |
246 | Imputation Flags | FlagforZAGECENA | Imputation flag for agecenac (ZAGECENA) | ZAGECENA | file5cbk.txt |
247 | Imputation Flags | FlagforZAGEFRZR | Imputation flag for agefrzr (ZAGEFRZR) | ZAGEFRZR | file2cbk.txt |
248 | Imputation Flags | FlagforZAGERFRI | Imputation flag for agerfri1 (ZAGERFRI) | ZAGERFRI | file2cbk.txt |
249 | Imputation Flags | FlagforZAIRCOND | Imputation flag for aircond (ZAIRCOND) | ZAIRCOND | file5cbk.txt |
250 | Imputation Flags | FlagforZAMTMICR | Imputation flag for amtmicro (ZAMTMICR) | ZAMTMICR | file2cbk.txt |
251 | Imputation Flags | FlagforZAMTNOHT | Imputation flag for amtnoht (ZAMTNOHT) | ZAMTNOHT | file9cbk.txt |
252 | Imputation Flags | FlagforZANYWWHP | Imputation flag for anywwhp (ZANYWWHP) | ZANYWWHP | file5cbk.txt |
253 | Imputation Flags | FlagforZATHOME | Imputation flag for athome (ZATHOME) | ZATHOME | file8cbk.txt |
254 | Imputation Flags | FlagforZAUTOCOO | Imputation flag for autocool (ZAUTOCOO) | ZAUTOCOO | file5cbk.txt |
255 | Imputation Flags | FlagforZAUTOHEA | Imputation flag for autoheat (ZAUTOHEA) | ZAUTOHEA | file4cbk.txt |
256 | Imputation Flags | FlagforZBASEHEA | Imputation flag for baseheat (ZBASEHEA) | ZBASEHEA | file1cbk.txt |
257 | Imputation Flags | FlagforZBATCHRG | Imputation flag for batchrg (ZBATCHRG) | ZBATCHRG | file3cbk.txt |
258 | Imputation Flags | FlagforZCASHAID | Imputation flag for cashaid (ZCASHAID) | ZCASHAID | file9cbk.txt |
259 | Imputation Flags | FlagforZCASHBEN | Imputation flag for cashben (ZCASHBEN) | ZCASHBEN | file9cbk.txt |
260 | Imputation Flags | FlagforZCELLAR | Imputation flag for cellar (ZCELLAR) | ZCELLAR | file1cbk.txt |
261 | Imputation Flags | FlagforZCENACHP | Imputation flag for cenachp (ZCENACHP) | ZCENACHP | file5cbk.txt |
262 | Imputation Flags | FlagforZCOMPUTE | Imputation flag for computer (ZCOMPUTE) | ZCOMPUTE | file3cbk.txt |
263 | Imputation Flags | FlagforZCONCRET | Imputation flag for concrete (ZCONCRET) | ZCONCRET | file1cbk.txt |
264 | Imputation Flags | FlagforZCOOLAID | Imputation flag for coolaid (ZCOOLAID) | ZCOOLAID | file9cbk.txt |
265 | Imputation Flags | FlagforZCOOLTYP | Imputation flag for cooltype (ZCOOLTYP) | ZCOOLTYP | file5cbk.txt |
266 | Imputation Flags | FlagforZCOPIER | Imputation flag for copier (ZCOPIER) | ZCOPIER | file3cbk.txt |
267 | Imputation Flags | FlagforZCORDPL1 | Imputation flag for cordplu1 (ZCORDPL1) | ZCORDPL1 | file6cbk.txt |
268 | Imputation Flags | FlagforZCORDPL2 | Imputation flag for cordplu2 (ZCORDPL2) | ZCORDPL2 | file6cbk.txt |
269 | Imputation Flags | FlagforZCRAWL | Imputation flag for crawl (ZCRAWL) | ZCRAWL | file1cbk.txt |
270 | Imputation Flags | FlagforZDEREG | Imputation flag for dereg (ZDEREG) | ZDEREG | file6cbk.txt |
271 | Imputation Flags | FlagforZDOOR1SU | Imputation flag for door1sum (ZDOOR1SU) | ZDOOR1SU | file5cbk.txt |
272 | Imputation Flags | FlagforZDOORSF1 | Imputation flag for doorsfr1 (ZDOORSF1) | ZDOORSF1 | file2cbk.txt |
273 | Imputation Flags | FlagforZDOORSF2 | Imputation flag for doorsfr2 (ZDOORSF2) | ZDOORSF2 | file2cbk.txt |
274 | Imputation Flags | FlagforZDRIVECA | Imputation flag for drivecar (ZDRIVECA) | ZDRIVECA | file8cbk.txt |
275 | Imputation Flags | FlagforZDRIVEMO | Imputation flag for drivemon (ZDRIVEMO) | ZDRIVEMO | file8cbk.txt |
276 | Imputation Flags | FlagforZDRYER | Imputation flag for dryer (ZDRYER) | ZDRYER | file3cbk.txt |
277 | Imputation Flags | FlagforZDRYRFUE | Imputation flag for dryrfuel (ZDRYRFUE) | ZDRYRFUE | file3cbk.txt |
278 | Imputation Flags | FlagforZDRYRUSE | Imputation flag for dryruse (ZDRYRUSE) | ZDRYRUSE | file3cbk.txt |
279 | Imputation Flags | FlagforZDWASHUS | Imputation flag for dwashuse (ZDWASHUS) | ZDWASHUS | file2cbk.txt |
280 | Imputation Flags | FlagforZEMPLOYH | Imputation flag for employhh (ZEMPLOYH) | ZEMPLOYH | file8cbk.txt |
281 | Imputation Flags | FlagforZEQMAMT | Imputation flag for eqmamt (ZEQMAMT) | ZEQMAMT | file4cbk.txt |
282 | Imputation Flags | FlagforZEQUIPAG | Imputation flag for equipage (ZEQUIPAG) | ZEQUIPAG | file4cbk.txt |
283 | Imputation Flags | FlagforZEQUIPAU | Imputation flag for equipaux (ZEQUIPAU) | ZEQUIPAU | file4cbk.txt |
284 | Imputation Flags | FlagforZEQUIPM | Imputation flag for equipm (ZEQUIPM) | ZEQUIPM | file4cbk.txt |
285 | Imputation Flags | FlagforZFAX | Imputation flag for fax (ZFAX) | ZFAX | file3cbk.txt |
286 | Imputation Flags | FlagforZFREEZER | Imputation flag for freezer (ZFREEZER) | ZFREEZER | file2cbk.txt |
287 | Imputation Flags | FlagforZFUELFOO | Imputation flag for fuelfood (ZFUELFOO) | ZFUELFOO | file2cbk.txt |
288 | Imputation Flags | FlagforZFUELH2O | Imputation flag for fuelh2o (ZFUELH2O) | ZFUELH2O | file5cbk.txt |
289 | Imputation Flags | FlagforZFUELHEA | Imputation flag for fuelheat (ZFUELHEA) | ZFUELHEA | file4cbk.txt |
290 | Imputation Flags | FlagforZFUELPAI | Imputation flag for fuelpaid (ZFUELPAI) | ZFUELPAI | file9cbk.txt |
291 | Imputation Flags | FlagforZGASLIGH | Imputation flag for gaslight (ZGASLIGH) | ZGASLIGH | file5cbk.txt |
292 | Imputation Flags | FlagforZGOVTAMT | Imputation flag for govtamt (ZGOVTAMT) | ZGOVTAMT | file9cbk.txt |
293 | Imputation Flags | FlagforZHBUSNES | Imputation flag for hbusness (ZHBUSNES) | ZHBUSNES | file8cbk.txt |
294 | Imputation Flags | FlagforZHEATAID | Imputation flag for heataid (ZHEATAID) | ZHEATAID | file9cbk.txt |
295 | Imputation Flags | FlagforZHEATNOT | Imputation flag for heatnot (ZHEATNOT) | ZHEATNOT | file4cbk.txt |
296 | Imputation Flags | FlagforZHEATOTH | Imputation flag for heatoth (ZHEATOTH) | ZHEATOTH | file4cbk.txt |
297 | Imputation Flags | FlagforZHHAGE | Imputation flag for hhage (ZHHAGE) | ZHHAGE | file8cbk.txt |
298 | Imputation Flags | FlagforZHHSEX | Imputation flag for hhsex (ZHHSEX) | ZHHSEX | file8cbk.txt |
299 | Imputation Flags | FlagforZHRSDYS | Imputation flag for hrsdys (ZHRSDYS) | ZHRSDYS | file9cbk.txt |
300 | Imputation Flags | FlagforZHUPROJ | Imputation flag for huproj (ZHUPROJ) | ZHUPROJ | file1cbk.txt |
301 | Imputation Flags | FlagforKCOPCOND | Imputation Flag for KCOPCOND (ZKCOPCON) | ZKCOPCON | file1cbk.txt |
302 | Imputation Flags | FlagforZLGT12 | Imputation flag for lgt12 (ZLGT12) | ZLGT12 | file5cbk.txt |
303 | Imputation Flags | FlagforZLIFELIN | Imputation flag for lifeline (ZLIFELIN) | ZLIFELIN | file9cbk.txt |
304 | Imputation Flags | FlagforZMICRO | Imputation flag for micro (ZMICRO) | ZMICRO | file2cbk.txt |
305 | Imputation Flags | FlagforZMODEM | Imputation flag for modem (ZMODEM) | ZMODEM | file3cbk.txt |
306 | Imputation Flags | FlagforZMONEYPY | Imputation flag for moneypy (ZMONEYPY) | ZMONEYPY | file8cbk.txt |
307 | Imputation Flags | FlagforZMONRFRI | Imputation flag for monrfri2 (ZMONRFRI) | ZMONRFRI | file2cbk.txt |
308 | Imputation Flags | FlagforZNCASHBE | Imputation flag for ncashben (ZNCASHBE) | ZNCASHBE | file9cbk.txt |
309 | Imputation Flags | FlagforZNCOMBAT | Imputation flag for ncombath (ZNCOMBAT) | ZNCOMBAT | file1cbk.txt |
310 | Imputation Flags | FlagforZNGFPFLU | Imputation flag for ngfpflue (ZNGFPFLU) | ZNGFPFLU | file4cbk.txt |
311 | Imputation Flags | FlagforZNHSLDME | Imputation flag for nhsldmem (ZNHSLDME) | ZNHSLDME | file8cbk.txt |
312 | Imputation Flags | FlagforZNNOHEAT | Imputation flag for nnoheat (ZNNOHEAT) | ZNNOHEAT | file9cbk.txt |
313 | Imputation Flags | FlagforZNOHSUM | Imputation flag for nohsum (ZNOHSUM) | ZNOHSUM | file9cbk.txt |
314 | Imputation Flags | FlagforZNOHWIN | Imputation flag for nohwin (ZNOHWIN) | ZNOHWIN | file9cbk.txt |
315 | Imputation Flags | FlagforZNOPAY | Imputation flag for nopay (ZNOPAY) | ZNOPAY | file9cbk.txt |
316 | Imputation Flags | FlagforZNOPYEL | Imputation flag for nopyel (ZNOPYEL) | ZNOPYEL | file9cbk.txt |
317 | Imputation Flags | FlagforZNOPYFIX | Imputation flag for nopyfix (ZNOPYFIX) | ZNOPYFIX | file9cbk.txt |
318 | Imputation Flags | FlagforZNOPYFL | Imputation flag for nopyfl (ZNOPYFL) | ZNOPYFL | file9cbk.txt |
319 | Imputation Flags | FlagforZNUMFREE | Imputation flag for numfreez (ZNUMFREE) | ZNUMFREE | file2cbk.txt |
320 | Imputation Flags | FlagforZNUMFRIG | Imputation flag for numfrig (ZNUMFRIG) | ZNUMFRIG | file2cbk.txt |
321 | Imputation Flags | FlagforZNUMMEAL | Imputation flag for nummeal (ZNUMMEAL) | ZNUMMEAL | file2cbk.txt |
322 | Imputation Flags | FlagforZOTHERWA | Imputation flag for otherway (ZOTHERWA) | ZOTHERWA | file9cbk.txt |
323 | Imputation Flags | FlagforZOTHROOM | Imputation flag for othrooms (ZOTHROOM) | ZOTHROOM | file1cbk.txt |
324 | Imputation Flags | FlagforZOTHRPMT | Imputation flag for othrpmt (ZOTHRPMT) | ZOTHRPMT | file9cbk.txt |
325 | Imputation Flags | FlagforZOTHWORK | Imputation flag for othwork (ZOTHWORK) | ZOTHWORK | file8cbk.txt |
326 | Imputation Flags | FlagforZOUTLGTN | Imputation flag for outlgtnt (ZOUTLGTN) | ZOUTLGTN | file5cbk.txt |
327 | Imputation Flags | FlagforZOVENCLN | Imputation flag for ovencln (ZOVENCLN) | ZOVENCLN | file2cbk.txt |
328 | Imputation Flags | FlagforZOVENUSE | Imputation flag for ovenuse (ZOVENUSE) | ZOVENUSE | file2cbk.txt |
329 | Imputation Flags | FlagforZPCUSE | Imputation flag for pcuse (ZPCUSE) | ZPCUSE | file3cbk.txt |
330 | Imputation Flags | FlagforZPRINTER | Imputation flag for printer (ZPRINTER) | ZPRINTER | file3cbk.txt |
331 | Imputation Flags | FlagforZRECBATH | Imputation flag for recbath (ZRECBATH) | ZRECBATH | file3cbk.txt |
332 | Imputation Flags | FlagforZREFRIG1 | Imputation flag for refrigt1 (ZREFRIG1) | ZREFRIG1 | file2cbk.txt |
333 | Imputation Flags | FlagforZREFRIG2 | Imputation flag for refrigt2 (ZREFRIG2) | ZREFRIG2 | file2cbk.txt |
334 | Imputation Flags | FlagforZRETIREP | Imputation flag for retirepy (ZRETIREP) | ZRETIREP | file9cbk.txt |
335 | Imputation Flags | FlagforZSDESCEN | Imputation flag for sdescent (ZSDESCEN) | ZSDESCEN | file8cbk.txt |
336 | Imputation Flags | FlagforZSEPFREE | Imputation flag for sepfreez (ZSEPFREE) | ZSEPFREE | file2cbk.txt |
337 | Imputation Flags | FlagforZSETBACK | Imputation flag for setback (ZSETBACK) | ZSETBACK | file4cbk.txt |
338 | Imputation Flags | FlagforZSHOWERS | Imputation flag for showers (ZSHOWERS) | ZSHOWERS | file5cbk.txt |
339 | Imputation Flags | FlagforZSIZFREE | Imputation flag for sizfreez (ZSIZFREE) | ZSIZFREE | file2cbk.txt |
340 | Imputation Flags | FlagforZSIZRFR1 | Imputation flag for sizrfri1 (ZSIZRFR1) | ZSIZRFR1 | file2cbk.txt |
341 | Imputation Flags | FlagforZSIZRFR2 | Imputation flag for sizrfri2 (ZSIZRFR2) | ZSIZRFR2 | file2cbk.txt |
342 | Imputation Flags | FlagforZSLDDRS | Imputation flag for slddrs (ZSLDDRS) | ZSLDDRS | file5cbk.txt |
343 | Imputation Flags | FlagforZSPOUSE | Imputation flag for spouse (ZSPOUSE) | ZSPOUSE | file8cbk.txt |
344 | Imputation Flags | FlagforZSTORIES | Imputation flag for stories (ZSTORIES) | ZSTORIES | file1cbk.txt |
345 | Imputation Flags | FlagforZSTOVEN | Imputation flag for stoven (ZSTOVEN) | ZSTOVEN | file2cbk.txt |
346 | Imputation Flags | FlagforZTELECOM | Imputation flag for telecom (ZTELECOM) | ZTELECOM | file3cbk.txt |
347 | Imputation Flags | FlagforZTELLDAY | Imputation flag for telldays (ZTELLDAY) | ZTELLDAY | file3cbk.txt |
348 | Imputation Flags | FlagforZTHERMAI | Imputation flag for thermain (ZTHERMAI) | ZTHERMAI | file4cbk.txt |
349 | Imputation Flags | FlagforZTOTROOM | Imputation flag for totrooms (ZTOTROOM) | ZTOTROOM | file1cbk.txt |
350 | Imputation Flags | FlagforZTREESHA | Imputation flag for treeshad (ZTREESHA) | ZTREESHA | file5cbk.txt |
351 | Imputation Flags | FlagforZTVCOLOR | Imputation flag for tvcolor (ZTVCOLOR) | ZTVCOLOR | file3cbk.txt |
352 | Imputation Flags | FlagforZTYPECLN | Imputation flag for typecln (ZTYPECLN) | ZTYPECLN | file2cbk.txt |
353 | Imputation Flags | FlagforZTYPERF1 | Imputation flag for typerfr1 (ZTYPERF1) | ZTYPERF1 | file2cbk.txt |
354 | Imputation Flags | FlagforZTYPERF2 | Imputation flag for typerfr2 (ZTYPERF2) | ZTYPERF2 | file2cbk.txt |
355 | Imputation Flags | FlagforZUAUXH2O | Imputation flag for uauxh2of (ZUAUXH2O) | ZUAUXH2O | file5cbk.txt |
356 | Imputation Flags | FlagforZUPRTFRZ | Imputation flag for uprtfrzr (ZUPRTFRZ) | ZUPRTFRZ | file2cbk.txt |
357 | Imputation Flags | FlagforZURBRUR | Imputation flag for urbrur (ZURBRUR) | ZURBRUR | file1cbk.txt |
358 | Imputation Flags | FlagforZUSECENA | Imputation flag for usecenac (ZUSECENA) | ZUSECENA | file5cbk.txt |
359 | Imputation Flags | FlagforZUSENGFP | Imputation flag for usengfp (ZUSENGFP) | ZUSENGFP | file4cbk.txt |
360 | Imputation Flags | FlagforZUSEWWAC | Imputation flag for usewwac (ZUSEWWAC) | ZUSEWWAC | file5cbk.txt |
361 | Imputation Flags | FlagforZVCR | Imputation flag for vcr (ZVCR) | ZVCR | file3cbk.txt |
362 | Imputation Flags | FlagforZVEHICLE | Imputation flag for vehicles (ZVEHICLE) | ZVEHICLE | file8cbk.txt |
363 | Imputation Flags | FlagforZWASHLOA | Imputation flag for washload (ZWASHLOA) | ZWASHLOA | file3cbk.txt |
364 | Imputation Flags | FlagforZWCHFUEL | Imputation flag for wchfuel (ZWCHFUEL) | ZWCHFUEL | file6cbk.txt |
365 | Imputation Flags | FlagforZWELLPUM | Imputation flag for wellpump (ZWELLPUM) | ZWELLPUM | file3cbk.txt |
366 | Imputation Flags | FlagforZWHEATAG | Imputation flag for wheatage (ZWHEATAG) | ZWHEATAG | file5cbk.txt |
367 | Imputation Flags | FlagforZWHEATOT | Imputation flag for wheatoth (ZWHEATOT) | ZWHEATOT | file5cbk.txt |
368 | Imputation Flags | FlagforZWHEATSI | Imputation flag for wheatsiz (ZWHEATSI) | ZWHEATSI | file5cbk.txt |
369 | Imputation Flags | FlagforZWINDOWS | Imputation flag for windows (ZWINDOWS) | ZWINDOWS | file5cbk.txt |
370 | Imputation Flags | FlagforZWOODAMT | Imputation flag for woodamt (ZWOODAMT) | ZWOODAMT | file6cbk.txt |
371 | Imputation Flags | FlagforZWORKPAY | Imputation flag for workpay (ZWORKPAY) | ZWORKPAY | file9cbk.txt |
372 | Imputation Flags | FlagforZWWACAGE | Imputation flag for wwacage (ZWWACAGE) | ZWWACAGE | file5cbk.txt |
373 | Imputation Flags | FlagforZYEARMAD | Imputation flag for yearmade (ZYEARMAD) | ZYEARMAD | file1cbk.txt |
374 | Imputation Flags | FlagforZYEARS1 | Imputation flag for years1 (ZYEARS1) | ZYEARS1 | file8cbk.txt |
375 | Imputation Flags | FlagforZYEARS2 | Imputation flag for years2 (ZYEARS2) | ZYEARS2 | file8cbk.txt |
376 | Imputation Flags | FlagforZYEARS3 | Imputation flag for years3 (ZYEARS3) | ZYEARS3 | file8cbk.txt |
Interviewer Observations | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
377 | Interviewer Observations | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
378 | Interviewer Observations | RACNumofStories | Intrvwr reported num of stories (FLOORS) | FLOORS | file1cbk.txt |
379 | Interviewer Observations | RACNumofUnits | Intvwr reported number of units (UNITS) | UNITS | file1cbk.txt |
Kerosene Usage Characteristics – | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
380 | Kerosene Usage Characteristics – | UseKeroforOth | Kero used for other purposes (BILLKER) | BILLKER | file7cbk.txt |
381 | Kerosene Usage Characteristics – | PctKeroBillOth | Pct kero bill for oth purp (BILLKERP) | BILLKERP | file7cbk.txt |
382 | Kerosene Usage Characteristics – | AnnKeroUsekBtu | Annual kero use in thousands of btu (BTUKER) | BTUKER | file11cbk.txt |
383 | Kerosene Usage Characteristics – | EstKeroApplkBtu | Kero appl use est in thousands of btu (BTUKRAPL) | BTUKRAPL | file11cbk.txt |
384 | Kerosene Usage Characteristics – | EstKeroSHkBtu | Kero space heat use est in ks of btu (BTUKRSPH) | BTUKRSPH | file11cbk.txt |
385 | Kerosene Usage Characteristics – | EstKeroWHkBtu | Kero water heat use est in ks of btu (BTUKRWTH) | BTUKRWTH | file11cbk.txt |
386 | Kerosene Usage Characteristics – | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
387 | Kerosene Usage Characteristics – | EstKeroseneAppl$ | Kero appl use est in dollars (DOLKRAPL) | DOLKRAPL | file12cbk.txt |
388 | Kerosene Usage Characteristics – | EstKeroSH$ | Kero space heat use est in dollars (DOLKRSPH) | DOLKRSPH | file12cbk.txt |
389 | Kerosene Usage Characteristics – | EstKeroWH$ | Kero water heat use est in dollars (DOLKRWTH) | DOLKRWTH | file12cbk.txt |
390 | Kerosene Usage Characteristics – | KeroCost$ | Estimated kerosene cost in dollars (DOLLARKR) | DOLLARKR | file12cbk.txt |
391 | Kerosene Usage Characteristics – | EstKeroPur(Gal) | Est gallons of kerosene bought (GALLONKR) | GALLONKR | file11cbk.txt |
392 | Kerosene Usage Characteristics – | HowKerosenePaid | How kerosene is paid (HOWPAYKR) | HOWPAYKR | file6cbk.txt |
393 | Kerosene Usage Characteristics – | KeroDatafromHH | Kero data from supplier or household (KAVALKER) | KAVALKER | file10cbk.txt |
394 | Kerosene Usage Characteristics – | HasKeroCashNCarry | Cash and carry kerosene (KEROCASH) | KEROCASH | file6cbk.txt |
395 | Kerosene Usage Characteristics – | HasKeroDelivered | Kerosene delivered to home (KERODEL) | KERODEL | file6cbk.txt |
396 | Kerosene Usage Characteristics – | UseKeroforanyOth | Uses kerosene for any other purpose (KROTHER) | KROTHER | file6cbk.txt |
397 | Kerosene Usage Characteristics – | UseKeroforHeat | Uses kerosene to heat home (KRWARM) | KRWARM | file6cbk.txt |
398 | Kerosene Usage Characteristics – | UseKeroforH2O | Uses kerosene to heat water (KRWATER) | KRWATER | file6cbk.txt |
399 | Kerosene Usage Characteristics – | NumCompDeliverKero | Num kero companies deliver (NDIFKRCO) | NDIFKRCO | file6cbk.txt |
400 | Kerosene Usage Characteristics – | QuantityPurKerowCash | Quantity bought each time (NKRGALNC) | NKRGALNC | file6cbk.txt |
401 | Kerosene Usage Characteristics – | NumPurKerowCash | Num times cash/carry kero (NOKRCASH) | NOKRCASH | file6cbk.txt |
402 | Kerosene Usage Characteristics – | NumYearlyKeroDeliver | Times kero delivered past yr (NOKRDEL) | NOKRDEL | file6cbk.txt |
403 | Kerosene Usage Characteristics – | SourceofKeroEst | Source estimated kerosene quantity (ORIGKERQ) | ORIGKERQ | file10cbk.txt |
404 | Kerosene Usage Characteristics – | KeroDataCode | Summary code kerosene data source (ORIGKERS) | ORIGKERS | file10cbk.txt |
405 | Kerosene Usage Characteristics – | SourceofKero$ | Source of estimated kerosene cost (ORIGKRC) | ORIGKRC | file10cbk.txt |
406 | Kerosene Usage Characteristics – | KeroDataTimePeriod | Time period kerosene data available (PERIODKR) | PERIODKR | file10cbk.txt |
407 | Kerosene Usage Characteristics – | KeroCashGalPrice | Cash/carry kero price/gal (PRICEKER) | PRICEKER | file6cbk.txt |
408 | Kerosene Usage Characteristics – | HasKeroBeenScaledDown | Kero use scaled down nonhsld uses (SCALEKER) | SCALEKER | file10cbk.txt |
409 | Kerosene Usage Characteristics – | TotalKeroCashPrice | Total cash and carry price (TOTPAYKR) | TOTPAYKR | file6cbk.txt |
410 | Kerosene Usage Characteristics – | UseKeroinHome | Household uses kerosene (USEKERO) | USEKERO | file6cbk.txt |
Kitchen Appliances | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
411 | Kitchen Appliances | AgeofSepFrzr | Age of separate freezer (AGEFRZR) | AGEFRZR | file2cbk.txt |
412 | Kitchen Appliances | AgeofMainFrig | Age of main refrigerator (AGERFRI1) | AGERFRI1 | file2cbk.txt |
413 | Kitchen Appliances | Ageof2ndFrig | Age of second refrig (AGERFRI2) | AGERFRI2 | file2cbk.txt |
414 | Kitchen Appliances | AmtofMicrowave | Amount cooked in microwave (AMTMICRO) | AMTMICRO | file2cbk.txt |
415 | Kitchen Appliances | UseAutoDW | Use automatic dishwasher (DISHWASH) | DISHWASH | file2cbk.txt |
416 | Kitchen Appliances | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
417 | Kitchen Appliances | MainFrigDoorStyle | Refrig 1 door style (DOORSFR1) | DOORSFR1 | file2cbk.txt |
418 | Kitchen Appliances | 2ndFrigDoorStyle | Refrig 2 door style (DOORSFR2) | DOORSFR2 | file2cbk.txt |
419 | Kitchen Appliances | FreqofDWUse | How often use dishwasher (DWASHUSE) | DWASHUSE | file2cbk.txt |
420 | Kitchen Appliances | TypeofSepFrzr | Type of separate freezer (FREEZER) | FREEZER | file2cbk.txt |
421 | Kitchen Appliances | CookingFuel | Fuel used for cooking (FUELFOOD) | FUELFOOD | file2cbk.txt |
422 | Kitchen Appliances | IceDisponDoor(Main) | Thru door ice/water service (ICE) | ICE | file2cbk.txt |
423 | Kitchen Appliances | UseMicrowave | Use microwave oven (MICRO) | MICRO | file2cbk.txt |
424 | Kitchen Appliances | MonthUsed(2ndFrig) | Months 2nd refrig used (MONRFRI2) | MONRFRI2 | file2cbk.txt |
425 | Kitchen Appliances | NumofSepFrzrs | Number of separate freezers (NUMFREEZ) | NUMFREEZ | file2cbk.txt |
426 | Kitchen Appliances | NumofFrigs | Number of refrigerators (NUMFRIG) | NUMFRIG | file2cbk.txt |
427 | Kitchen Appliances | FreqofMeals | Number of cooked meals (NUMMEAL) | NUMMEAL | file2cbk.txt |
428 | Kitchen Appliances | UseOven | Use oven for cooking (OVEN) | OVEN | file2cbk.txt |
429 | Kitchen Appliances | HasDiffOvenFuel | Separate oven fuel (OVENA) | OVENA | file2cbk.txt |
430 | Kitchen Appliances | HasSelf-CleaningOven | Oven is self-cleaning (OVENCLN) | OVENCLN | file2cbk.txt |
431 | Kitchen Appliances | FreqofOvenUse | How often oven used (OVENUSE) | OVENUSE | file2cbk.txt |
432 | Kitchen Appliances | MainFrzrType | Frzr type main refrig (REFRIGT1) | REFRIGT1 | file2cbk.txt |
433 | Kitchen Appliances | 2ndFrzrType | Frzr type second refrig (REFRIGT2) | REFRIGT2 | file2cbk.txt |
434 | Kitchen Appliances | UseSepFrzr | Use a separate freezer (SEPFREEZ) | SEPFREEZ | file2cbk.txt |
435 | Kitchen Appliances | SepFrzrSize | Size of separate freezer (SIZFREEZ) | SIZFREEZ | file2cbk.txt |
436 | Kitchen Appliances | MainFrigSize | Size of main refrigerator (SIZRFRI1) | SIZRFRI1 | file2cbk.txt |
437 | Kitchen Appliances | 2ndFrigSize | Size of second refrig (SIZRFRI2) | SIZRFRI2 | file2cbk.txt |
438 | Kitchen Appliances | UseStoveforCooking | Use stove/burners for cooking (STOVE) | STOVE | file2cbk.txt |
439 | Kitchen Appliances | RangeTopFuel | Range top/ burners fuel (STOVEA) | STOVEA | file2cbk.txt |
440 | Kitchen Appliances | HasStovewithOven | Stove has burners and oven (STOVEN) | STOVEN | file2cbk.txt |
441 | Kitchen Appliances | StoveFuel | Combo stove and oven fuel (STOVENA) | STOVENA | file2cbk.txt |
442 | Kitchen Appliances | TypeofOven | Type of self cleaning oven (TYPECLN) | TYPECLN | file2cbk.txt |
443 | Kitchen Appliances | TypeofMainFrig | Type of main refrigerator (TYPERFR1) | TYPERFR1 | file2cbk.txt |
444 | Kitchen Appliances | Typeof2ndFrig | Type of second refrig (TYPERFR2) | TYPERFR2 | file2cbk.txt |
445 | Kitchen Appliances | HasUprightFrzr | Freezer upright or chest (UPRTFRZR) | UPRTFRZR | file2cbk.txt |
Lights Windows and Insulation | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
446 | Lights Windows and Insulation | InsulationQalLevel | How well insulated is home (ADQINSUL) | ADQINSUL | file5cbk.txt |
447 | Lights Windows and Insulation | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
448 | Lights Windows and Insulation | NumSlideDoors | Num of sliding glass doors (DOOR1SUM) | DOOR1SUM | file5cbk.txt |
449 | Lights Windows and Insulation | UseUgasOutdrLght | Use outdoor gas light (GASLIGHT) | GASLIGHT | file5cbk.txt |
450 | Lights Windows and Insulation | NumLightsOn>12hrs | Number lights on 12+ hrs/day (LGT12) | LGT12 | file5cbk.txt |
451 | Lights Windows and Insulation | UseOutdrLghtNightly | Outdoor lgt on all night (OUTLGTNT) | OUTLGTNT | file5cbk.txt |
452 | Lights Windows and Insulation | HasSlideDoor | Sliding glass doors (SLDDRS) | SLDDRS | file5cbk.txt |
453 | Lights Windows and Insulation | NumWindows | Number of windows in home (WINDOWS) | WINDOWS | file5cbk.txt |
Location and Weather | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
454 | Location and Weather | CDDtobase651-97to12-97 | Cooling dd to base 65 1-97 to 12-97 (CDD65) | CDD65 | All Files |
455 | Location and Weather | CensusDivision | Census division (DIVISION) | DIVISION | All Files |
456 | Location and Weather | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
457 | Location and Weather | HDDtobase651-97to12-97 | Heating dd to base 65 1-97 to 12-97 (HDD65) | HDD65 | All Files |
458 | Location and Weather | LargeState | Large State Indicator (LRGSTATE) | LRGSTATE | All Files |
459 | Location and Weather | CensusRegion | Census region (REGIONC) | REGIONC | All Files |
460 | Location and Weather | HouseholdArea | Area household is in (URBRUR) | URBRUR | file1cbk.txt |
Natural Gas Usage Characteristics – | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
461 | Natural Gas Usage Characteristics – | UseUgasforOth | Ugas used for other purposes (BILLUG) | BILLUG | file7cbk.txt |
462 | Natural Gas Usage Characteristics – | PctUgasBillOth | Pct ug bill for oth purp (BILLUGP) | BILLUGP | file7cbk.txt |
463 | Natural Gas Usage Characteristics – | AnnUgasUsekBtu | Ug annual use in thousands of btu (BTUNG) | BTUNG | file11cbk.txt |
464 | Natural Gas Usage Characteristics – | EstNGApplkBtu | Nat gas appl use est in thous of btu (BTUNGAPL) | BTUNGAPL | file11cbk.txt |
465 | Natural Gas Usage Characteristics – | EstNGACkBtu | Nat gas ac use est in thous of btu (BTUNGCOL) | BTUNGCOL | file11cbk.txt |
466 | Natural Gas Usage Characteristics – | EstNGSHkBtu | Nat gas space heat use est k of btu (BTUNGSPH) | BTUNGSPH | file11cbk.txt |
467 | Natural Gas Usage Characteristics – | EstNGWHkBtu | Nat gas wat ht use est in ks of btu (BTUNGWTH) | BTUNGWTH | file11cbk.txt |
468 | Natural Gas Usage Characteristics – | EstUgasPur(ccfs) | Ccfs (hundred cubic ft) of ug (CUFEETNG) | CUFEETNG | file11cbk.txt |
469 | Natural Gas Usage Characteristics – | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
470 | Natural Gas Usage Characteristics – | UgasCost$ | Estimated cost of ug in dollars (DOLLARNG) | DOLLARNG | file12cbk.txt |
471 | Natural Gas Usage Characteristics – | EstNGAppl$ | Nat gas appl use est in dollars (DOLNGAPL) | DOLNGAPL | file12cbk.txt |
472 | Natural Gas Usage Characteristics – | EstNGAC$ | Nat gas air cond use est in dollars (DOLNGCOL) | DOLNGCOL | file12cbk.txt |
473 | Natural Gas Usage Characteristics – | EstNGSH$ | Nat gas space heat use est in dollars (DOLNGSPH) | DOLNGSPH | file12cbk.txt |
474 | Natural Gas Usage Characteristics – | EstNGWH$ | Nat gas water heat use est in dollars (DOLNGWTH) | DOLNGWTH | file12cbk.txt |
475 | Natural Gas Usage Characteristics – | HowNGPaid | How natural gas is paid (HOWPAYNG) | HOWPAYNG | file6cbk.txt |
476 | Natural Gas Usage Characteristics – | UgasDatafromHH | Ug data from supplier or household (KAVALNG) | KAVALNG | file10cbk.txt |
477 | Natural Gas Usage Characteristics – | SourceofUgas$ | Source of estimated cost of ug (ORIGNGC) | ORIGNGC | file10cbk.txt |
478 | Natural Gas Usage Characteristics – | SourceofUgasEst | Source of estimated quantity of ug (ORIGNGQ) | ORIGNGQ | file10cbk.txt |
479 | Natural Gas Usage Characteristics – | UgasDataCode | Summary code for source of ug data (ORIGNGS) | ORIGNGS | file10cbk.txt |
480 | Natural Gas Usage Characteristics – | UgasDataTimePeriod | Period of time ug data available (PERIODNG) | PERIODNG | file10cbk.txt |
481 | Natural Gas Usage Characteristics – | WhoPaysUgasHeat | Who pays ugas for home heat (PGASHEAT) | PGASHEAT | file6cbk.txt |
482 | Natural Gas Usage Characteristics – | WhoPaysUgasH2O | Who pays ugas for hot water (PGASHTWA) | PGASHTWA | file6cbk.txt |
483 | Natural Gas Usage Characteristics – | WhoPaysUgasCook | Who pays ugas to cook (PUGCOOK) | PUGCOOK | file6cbk.txt |
484 | Natural Gas Usage Characteristics – | WhoPaysUgasAppl | Who pays ugas for appliances (PUGOTH) | PUGOTH | file6cbk.txt |
485 | Natural Gas Usage Characteristics – | HasUgasBeenScaledDown | Ug use scaled down for nonhsld uses (SCALENG) | SCALENG | file10cbk.txt |
486 | Natural Gas Usage Characteristics – | UgasRate(local) | Local natural gas rate for mcf (UGASRATE) | UGASRATE | file10cbk.txt |
487 | Natural Gas Usage Characteristics – | UseUgasforCook | Uses ugas for cooking (UGCOOK) | UGCOOK | file6cbk.txt |
488 | Natural Gas Usage Characteristics – | UseUgasforOthAppl | Uses ugas for other appliances (UGOTH) | UGOTH | file6cbk.txt |
489 | Natural Gas Usage Characteristics – | UseUgasforHeat | Uses ugas for heating home (UGWARM) | UGWARM | file6cbk.txt |
490 | Natural Gas Usage Characteristics – | UseUgasforH2O | Uses ugas for hot water (UGWATER) | UGWATER | file6cbk.txt |
491 | Natural Gas Usage Characteristics – | UseUgasinHome | Household uses utility gas (USENG) | USENG | file6cbk.txt |
Other Appliances | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
492 | Other Appliances | HasAnsweringMachine | Use answering machine (ANSMACH) | ANSMACH | file3cbk.txt |
493 | Other Appliances | HasAquarium>20gal | Use 20+ gal htd aquarium (AQUARIUM) | AQUARIUM | file3cbk.txt |
494 | Other Appliances | MaintenanceofPortAppls | How port appliances maintained (BATCHRG) | BATCHRG | file3cbk.txt |
495 | Other Appliances | HasPortableAppl | Use portable appliances/tools (BATTOOLS) | BATTOOLS | file3cbk.txt |
496 | Other Appliances | UseCeilingFan | Used ceiling fan (CFAN) | CFAN | file3cbk.txt |
497 | Other Appliances | HasPC | Use personal computer (COMPUTER) | COMPUTER | file3cbk.txt |
498 | Other Appliances | HasPhotocopier | Use photocopier (COPIER) | COPIER | file3cbk.txt |
499 | Other Appliances | UseAutoCW | Use auto clothes washer (CWASHER) | CWASHER | file3cbk.txt |
500 | Other Appliances | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
501 | Other Appliances | UseClothesDryer | Use clothes dryer (DRYER) | DRYER | file3cbk.txt |
502 | Other Appliances | ClothesDryerFuel | Clothes dryer fuel (DRYRFUEL) | DRYRFUEL | file3cbk.txt |
503 | Other Appliances | FreqofClothesDryer | Frequency of dryer use (DRYRUSE) | DRYRUSE | file3cbk.txt |
504 | Other Appliances | HasFax | Use separate fax machine (FAX) | FAX | file3cbk.txt |
505 | Other Appliances | PoolFuel | Fuel used to heat pool (FUELPOOL) | FUELPOOL | file3cbk.txt |
506 | Other Appliances | HotTubFuel | Fuel used to heat recbath (FUELTUB) | FUELTUB | file3cbk.txt |
507 | Other Appliances | HasModem | Use modem (MODEM) | MODEM | file3cbk.txt |
508 | Other Appliances | Morethan1PC | More than one pc used (MULTPC) | MULTPC | file3cbk.txt |
509 | Other Appliances | HasCordlessPhone | Use cordless phone (NOCORD) | NOCORD | file3cbk.txt |
510 | Other Appliances | NumofH2ObedHeaters | Number of waterbed heaters (NOWTBDHT) | NOWTBDHT | file3cbk.txt |
511 | Other Appliances | NumCeilingFansUsed | Number of ceiling fans used (NUMCFAN) | NUMCFAN | file3cbk.txt |
512 | Other Appliances | NumofPCs | Number pcs used (NUMPC) | NUMPC | file3cbk.txt |
513 | Other Appliances | MainUseofPC | Main use of pc (PCTASK) | PCTASK | file3cbk.txt |
514 | Other Appliances | WeeklyPCUse | Weekly hours pc turned on (PCUSE) | PCUSE | file3cbk.txt |
515 | Other Appliances | HasHeatedPool | Have heated swimming pool (POOL) | POOL | file3cbk.txt |
516 | Other Appliances | HasLaserPrinter | Use laser printer for pc (PRINTER) | PRINTER | file3cbk.txt |
517 | Other Appliances | HasHotTub | Heated hot tub/spa/jacuzzi (RECBATH) | RECBATH | file3cbk.txt |
518 | Other Appliances | HasStereo | Use stereo equipment (STEREO) | STEREO | file3cbk.txt |
519 | Other Appliances | HasPool | Have pool with filtering sys (SWIMPOOL) | SWIMPOOL | file3cbk.txt |
520 | Other Appliances | PCforTelecommute | PC used to telecommute (TELECOM) | TELECOM | file3cbk.txt |
521 | Other Appliances | DayTelecommute | Days pc used to telecommute (TELLDAYS) | TELLDAYS | file3cbk.txt |
522 | Other Appliances | NumColorTVs | Number of color tvs used (TVCOLOR) | TVCOLOR | file3cbk.txt |
523 | Other Appliances | NumVCRs | Number of vcrs used (VCR) | VCR | file3cbk.txt |
524 | Other Appliances | FreqofLaundry(weekly) | Laundry washed per week (WASHLOAD) | WASHLOAD | file3cbk.txt |
525 | Other Appliances | UseH2ObedHeaters | Use waterbed heaters (WATERBED) | WATERBED | file3cbk.txt |
526 | Other Appliances | UseElecWellPmp | Use elec pump for well (WELLPUMP) | WELLPUMP | file3cbk.txt |
527 | Other Appliances | UseH2ObedAllYear | Waterbed heaters used all year (WTBEDUSE) | WTBEDUSE | file3cbk.txt |
Other Usage Characteristics | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
528 | Other Usage Characteristics | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
529 | Other Usage Characteristics | UseOthCookFuel | Other fuel used to cook (OTHCOOK) | OTHCOOK | file6cbk.txt |
530 | Other Usage Characteristics | UseOthFuelinHome | Other fuel used by hh (USEOTH) | USEOTH | file6cbk.txt |
Solar Usage Characteristics – | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
531 | Solar Usage Characteristics – | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
532 | Solar Usage Characteristics – | UseSolarforOth | Uses solar for other purpose (SOLOTHER) | SOLOTHER | file6cbk.txt |
533 | Solar Usage Characteristics – | UseSolarforPool | Uses solar to heat pool heater (SOLPOOL) | SOLPOOL | file6cbk.txt |
534 | Solar Usage Characteristics – | UseSolarforHeat | Uses solar to heat home (SOLWARM) | SOLWARM | file6cbk.txt |
535 | Solar Usage Characteristics – | UseSolarforH2O | Uses solar to heat water (SOLWATER) | SOLWATER | file6cbk.txt |
536 | Solar Usage Characteristics – | UseSolarinHome | Household uses solar (USESOLAR) | USESOLAR | file6cbk.txt |
Space Heating | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
537 | Space Heating | HasFansforSolar | Solar heat needs pumps/fans (ACTSOLAR) | ACTSOLAR | file4cbk.txt |
538 | Space Heating | HasProgTherm | Program or manually set therm (AUTOHEAT) | AUTOHEAT | file4cbk.txt |
539 | Space Heating | HasAuxPrtblELHeater | Aux equip is prtbl elec htr (CARRYEL) | CARRYEL | file4cbk.txt |
540 | Space Heating | HasAuxPrtblKero | Aux equip is prtbl kero (CARRYKER) | CARRYKER | file4cbk.txt |
541 | Space Heating | AuxisFireplace | Aux equip is fireplace (CHIMNEY) | CHIMNEY | file4cbk.txt |
542 | Space Heating | AuxHeatEqpisOth | Aux heating equip is other (DIFEQUIP) | DIFEQUIP | file4cbk.txt |
543 | Space Heating | DKisAuxHeat | Dont know aux heating fuel (DKAUX) | DKAUX | file4cbk.txt |
544 | Space Heating | DKAuxHeatEqp | Dont know aux heating equip (DKEQUIP) | DKEQUIP | file4cbk.txt |
545 | Space Heating | UnheatedUnitweqp | Unheated home has equiptment (DNTHEAT) | DNTHEAT | file4cbk.txt |
546 | Space Heating | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
547 | Space Heating | ELisAuxHeat | Electric is aux heating fuel (ELECAUX) | ELECAUX | file4cbk.txt |
548 | Space Heating | HeatCapMainEqp | Amt heat main equip provides (EQMAMT) | EQMAMT | file4cbk.txt |
549 | Space Heating | AgeofMainHeatingEqp | Age of main heating equip (EQUIPAGE) | EQUIPAGE | file4cbk.txt |
550 | Space Heating | HasAuxHeatEqp | Aux heating equipment used (EQUIPAUX) | EQUIPAUX | file4cbk.txt |
551 | Space Heating | MainHeatingEqp | Main home heating equipment (EQUIPM) | EQUIPM | file4cbk.txt |
552 | Space Heating | FOisAuxHeat | Fuel oil is aux heating fuel (FOILAUX) | FOILAUX | file4cbk.txt |
553 | Space Heating | MainHeatingFuel | Main home heating fuel (FUELHEAT) | FUELHEAT | file4cbk.txt |
554 | Space Heating | NumNoheatRminWin | Num rooms unheated last winter (HEATNOT) | HEATNOT | file4cbk.txt |
555 | Space Heating | HasHeatEqpforOth | Heat equip heats other units (HEATOTH) | HEATOTH | file4cbk.txt |
556 | Space Heating | HasNonheatRminWin | Any rooms not heated last winter (HEATROOM) | HEATROOM | file4cbk.txt |
557 | Space Heating | KeroisAuxHeat | Kerosene is aux heating fuel (KEROAUX) | KEROAUX | file4cbk.txt |
558 | Space Heating | LPGisAUXHeat | Lpg is aux heating fuel (LPGAUX) | LPGAUX | file4cbk.txt |
559 | Space Heating | FlueType | Type of fireplace flue (NGFPFLUE) | NGFPFLUE | file4cbk.txt |
560 | Space Heating | OthisAuxHeat | Other fuel for aux heating (OTHERAUX) | OTHERAUX | file4cbk.txt |
561 | Space Heating | HasAuxELGen | Aux equip is blt in elec (PERMELEC) | PERMELEC | file4cbk.txt |
562 | Space Heating | HasAuxPipelessFurn | Aux equip is pipeless furn (PIPELESS) | PIPELESS | file4cbk.txt |
563 | Space Heating | AuxisStove | Aux equip is cooking stove (RANGE) | RANGE | file4cbk.txt |
564 | Space Heating | HasAuxHeatPump | Aux equip is heat pump (REVERSE) | REVERSE | file4cbk.txt |
565 | Space Heating | HasAuxRmHeaters | Aux equip is room heaters (ROOMHEAT) | ROOMHEAT | file4cbk.txt |
566 | Space Heating | HasSetBackTherm | Auto set-back/clock thermo (SETBACK) | SETBACK | file4cbk.txt |
567 | Space Heating | SolarisAuxHeat | Solar is aux heating fuel (SOLARAUX) | SOLARAUX | file4cbk.txt |
568 | Space Heating | HasAuxHeatH2O | Aux equip is steam/hot water (STEAMR) | STEAMR | file4cbk.txt |
569 | Space Heating | WinterTherm(Empty) | Winter temp - no one home (TEMPGONE) | TEMPGONE | file4cbk.txt |
570 | Space Heating | WinterTherm(Occup) | Winter-temp - someone home (TEMPHOME) | TEMPHOME | file4cbk.txt |
571 | Space Heating | WinterTherm(Night) | Winter temp - sleep hours (TEMPNITE) | TEMPNITE | file4cbk.txt |
572 | Space Heating | UseTherminWin | Use thermostat in winter (THERMAIN) | THERMAIN | file4cbk.txt |
573 | Space Heating | UgasisAuxHeat | Ugas is aux heating fuel (UGASAUX) | UGASAUX | file4cbk.txt |
574 | Space Heating | WinterUseofGasFP | How gas fp used in winter (USENGFP) | USENGFP | file4cbk.txt |
575 | Space Heating | HasAuxCentrWrmAirEqp | Aux equip is centr wrm air (WARMAIR) | WARMAIR | file4cbk.txt |
576 | Space Heating | WoodisAuxHeat | Wood is aux heating fuel (WOODAUX) | WOODAUX | file4cbk.txt |
577 | Space Heating | HasAuxStove | Aux equip is heating stove (WOODKILN) | WOODKILN | file4cbk.txt |
Survey Management | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
578 | Survey Management | BillsCoverBus | Bills cover bus/office use (BUSINESS) | BUSINESS | file7cbk.txt |
579 | Survey Management | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
580 | Survey Management | BillsincFarmUse | Bills include farm/machine use (FARM) | FARM | file7cbk.txt |
581 | Survey Management | HasFuelChrgNonHH | Fuel charges for non-hh use (KFUELOT) | KFUELOT | file7cbk.txt |
582 | Survey Management | MailCodes | Mail questionniare codes (MQRESULT) | MQRESULT | All Files |
583 | Survey Management | BillsCoverOthUse | Bills cover fuel for oth use (OTHERUSE) | OTHERUSE | file7cbk.txt |
584 | Survey Management | HasSignAuthForm | Authorization form signed (SIGNFORM) | SIGNFORM | file7cbk.txt |
585 | Survey Management | BillsCoverOthHH | Bills cover fuel of other hh (TENANT) | TENANT | file7cbk.txt |
Water Heating | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
586 | Water Heating | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
587 | Water Heating | AuxH2OFuel | Aux water heating fuel (FAUXH2O) | FAUXH2O | file5cbk.txt |
588 | Water Heating | MainH2OFuel | Main water heating fuel (FUELH2O) | FUELH2O | file5cbk.txt |
589 | Water Heating | NumWeeklyBaths | Number of baths per week (SHOWERS) | SHOWERS | file5cbk.txt |
590 | Water Heating | UseAuxH2OFuel | Use aux water heating fuel (UAUXH2OF) | UAUXH2OF | file5cbk.txt |
591 | Water Heating | AgeofH2OSys | Age of hot water heater (WHEATAGE) | WHEATAGE | file5cbk.txt |
592 | Water Heating | H2OHeatOth | H wtr sys heats other units (WHEATOTH) | WHEATOTH | file5cbk.txt |
593 | Water Heating | H2OTankSize | Size of water heater tank (WHEATSIZ) | WHEATSIZ | file5cbk.txt |
Wood Usage Characteristics – | |||||
ACCESS Table Name | ACCESS Field Name | Field Name Caption | ASCII Variable Name | ASCII Questionnaire Codebook | |
594 | Wood Usage Characteristics – | NumCordsBurned | Num cords burned past yr (CORDPLU1) | CORDPLU1 | file6cbk.txt |
595 | Wood Usage Characteristics – | NumCordsGT21/2Burned | Num cords over 2 1/2 burned (CORDPLU2) | CORDPLU2 | file6cbk.txt |
596 | Wood Usage Characteristics – | CordsBurned | Number Cords Burned (CORDS) | CORDS | file6cbk.txt |
597 | Wood Usage Characteristics – | EIAIDNum | DOE 4-digit identification number (DOEID) | DOEID | All Files |
598 | Wood Usage Characteristics – | UseWoodinHome | Household uses wood (USEWOOD) | USEWOOD | file6cbk.txt |
599 | Wood Usage Characteristics – | UseWoodforOth | Uses wood for other purpose (WDOTHER) | WDOTHER | file6cbk.txt |
600 | Wood Usage Characteristics – | HasBurnedWDPellets | Wood pellets burned (WDPELLET) | WDPELLET | file6cbk.txt |
601 | Wood Usage Characteristics – | HasBurnedWDScraps | Wood scraps burned (WDSCRAP) | WDSCRAP | file6cbk.txt |
602 | Wood Usage Characteristics – | UseWoodforHeat | Uses wood to heat home (WDWARM) | WDWARM | file6cbk.txt |
603 | Wood Usage Characteristics – | UseWoodforH2O | Uses wood to heat water (WDWATER) | WDWATER | file6cbk.txt |
604 | Wood Usage Characteristics – | AmtWDBurned | Amt of wood burned past yr (WOODAMT) | WOODAMT | file6cbk.txt |
605 | Wood Usage Characteristics – | HasBurnedWDLogs | Wood logs burned (WOODLOGS) | WOODLOGS | file6cbk.txt |
FIELDNAMES and PRIMARY KEYS
Only one fieldname is common to each table: EIAEIAIDNum. This primary key fieldname represents the unique 4-digit identification number that EIA uses to identify a household record. Every attempt has been made to ensure an easy transition to the use of an ACCESS97-based public use file. Fieldnames have been renamed in "English" to guide the data user. In addition, captions for all fieldnames are available in the ACCESS97 file. These captions represent a 40-character definition of the fieldname. If this guidance is not sufficient for your data needs, then it is suggested that you employ the ASCII version of the public use files, along with the specified codebooks.
HOW TO USE WEIGHTS
The RECS sample was designed so that survey responses could be used to estimate characteristics of the national stock of occupied housing units. In order to arrive at national estimates from the RECS sample, base sampling weights for each housing unit, which were the reciprocal of the probability of that building being selected into the sample, were calculated. Therefore, a housing unit with a base weight of 10,000 represents itself and 9,999 similar, but unsampled housing units in the total stock of occupied residential housing units. The base weight is further adjusted to account for nonresponse bias. Finally, ratio adjustments were used to ensure that the RECS weights add up to Current Population Survey estimates of the number of households. The fieldname FinalWeight in the data file is the final weight.
- EXAMPLE 1: SINGLE RESPONSE
- The respondent with EIAEIAIDNum = 5198 has FinalWeight = 8,064. Hence this respondent represents a total of 8,064 households. The respondent used 820 gallons (EstFOPurGal = 820) of fuel oil. Hence, the respondent contributed 820 times 8,064 = 6,600,000 gallons to the estimated national total fuel oil consumption.
- EXAMPLE 2: USING FinalWeight TO ESTIMATE NUMBER OF HOUSEHOLDS
- There were 710, out of the 5,900 RECS respondents, that used fuel oil in their homes (UseFOinHome = Yes). Most, but not all, of these households use fuel oil for space heating. The sum of FinalWeightover these 710 cases is 9,957,479. Hence, the estimated number of households that use fuel oil is 10,000,000.
- EXAMPLE 3: USING FinalWeight TO ESTIMATE PERCENTAGE OF HOUSEHOLDS
- The sum of FinalWeight over all 5,900 cases is 101,481,171. This is also an estimate of the total number of households as of July 1997. Hence, the estimated percent of households that use fuel oil (for any use in the home) is (9,957,479/101,481,171) times 100 equals 9.8 percent.
- EXAMPLE 4: USING FinalWeight TO ESTIMATE TOTAL CONSUMPTION
- To estimate the total fuel oil consumption, multiply FinalWeight times EstFOPurGal for the 710 cases where fuel oil is used in the home (UseFOinHome = 1), then sum the product over the cases whereUseFOinHome = Yes. The resulting estimate is 7,273,294,433 gallons. This should be rounded to 7.3 billion gallons or 7,273 million gallons.
- EXAMPLE 5: USING FinalWeight TO ESTIMATE AVERAGE CONSUMPTION
- The sum of FinalWeight over cases where UseFOinHome = Yes is 9,957,479. Hence the estimated average fuel oil consumption, in homes that use fuel oil, is 7,273,294,433/9,957,479 = 730 gallons.
MAIL RESPONSES
If the field interviewers were not successful in obtaining a personal interview, a short mail questionnaire was mailed to the housing unit. Fieldnames not on the mail questionnaire were then imputed for the housing unit using a hot deck procedure. There were 181 observations obtained via a mail questionnaire. These 181 records can be identified using the fieldname MailCodes.
FUEL USAGE INDICATORS
The fieldnames UseELinHome, UseFOinHome, UseKeroinHome, UseLPGinHome, and UseUgasinHome are indicator variables for the use electricity, fuel oil, kerosene, LPG, and natural gas in the housing unit. They are on three files. They were obtained using section H of the questionnaire and they are indicator variables that equal Yes if the households uses the corresponding fuel and No otherwise. These indicator values are used to remove the household records from the ACCESS97 file. Note: A "–" sign following a table name (i.e., a suffix) denotes a table with a record number of less than 5,900 housing units. A subset of the records are presented because the eliminated records are not applicable for the table. For example, only households that use the fuel kerosene are include in the Kerosene Usage Characteristicstable. Such modifications minimize the size of the ACCESS97 file while maintaining the analytical content of the RECS data. Field values tha are blank are considered not applicable for that field name. Iin the case where a second refrigerator is not applicable to the household, for example, blank values have been place into the corresponding second refrigerator field name values.
HOW ARE THE FIELDNAMES THAT BEGIN WITH A FlagforZ DIFFERENT FROM THE NON-FlagforZ VARIABLES?
The "FlagforZ fieldnames" are also referred to as "imputation flags." Imputation is a statistical procedure used to fill in missing values for respondents that are otherwise considered to be complete. Missing values for many, but not all, of the fieldnames were imputed in 1997. The imputation flag indicates whether the corresponding non-Z fieldname was based upon reported data (FlagforZ fieldname = No) or was imputed (FlagforZ fieldname = Yes). There are no corresponding "Z fieldnames" for fieldnames from the RECS questionnaire that were not imputed, fieldnames where there was no missing data, and fieldnames that are not from the questionnaire.
HOW IS THE SURVEY RESPONDENT'S CONFIDENTIALITY PROTECTED?
There are no respondent names and address on these files. EIA does not receive nor take possession of the names or addresses of individual respondents or any other individually identifiable energy data that could be specifically linked with a housing unit. Local geographic identifiers and National Oceanic and Atmospheric Administration Weather Division identifiers are not included on these data files.
In addition, values for HDDtobase651-97to12-97, CDDtobase651-97to12-97, ELRatelocal, and UgasRate were altered slightly to mask the exact geographic location of the housing unit.
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1997 Survey Methods
The Residential Energy Consumption Survey (RECS) was designed by the Energy Information Administration (EIA) to provide information about energy consumption within the residential sector. The RECS is conducted in two major parts: the Household Survey and the Energy Suppliers Survey. The Household Survey collects information about the housing unit through personal interviews with a representative national sample of households. The Rental-Agent Survey is an adjunct to the Household Survey and is used to verify information provided by renters in the Household Survey. In the Energy Suppliers Survey, data concerning actual energy consumption are obtained from household billing records maintained by the energy suppliers. The data are collected by questionnaires mailed to all the suppliers for the households in the Household Survey. This electronic report is based on the results of the Household Survey. A later report, Household Energy Consumption and Expenditures 1997, will present the results of the Energy Suppliers Survey. A subcontractor to EIA was used to collect and process the 1997 RECS. Click for copies of the data collection forms for the Household Survey and the adjunct Rental-Agent Survey.
This appendix contains detailed information about the sample design, Household Survey, its adjunct Rental Agent Survey, and confidentiality of the survey information.
Sample Design
The sample design for the 1997 RECS was based on the design used for the 1993 RECS. The universe for this sample design includes all housing units occupied as the primary residence in the 50 States and the District of Columbia. The RECS does not cover vacant housing units, seasonal units, nor second homes. Households on military installations are included. The definition of household is the same as that used by the U. S. Bureau of the Census. In RECS, by definition, the number of households is the same as the number of occupied primary housing units and these terms are used interchangeably. The universe was estimated to contain 101,481,000 households based on extrapolations from Current Population Survey (CPS) estimates at the time of the 1997 RECS (July 1997). This definition excludes group quarters such as military barracks, dormitories, and nursing homes, which are considered to be out-of-scope. It should be noted that the separation time between the estimates for 1993 and 1997 was 4 years, instead of the 2-2/3 years between the 1990 and 1993 estimates. Estimates of annual change need to take this difference into account.
The overall plan for the 1997 RECS included a basic sample of approximately 5,000 completed household interviews, plus a supplemental sample totaling approximately 800 completed interviews. The basic sample was designed to represent the total population of households in the United States, with specified levels of precision for each of the nine geographically defined Census divisions. The supplemental sample, included in the plan to meet special analytical needs, was designed to provide disproportionately large samples of households living below the poverty level, particularly those using electricity, fuel oil, or kerosene as the main space-heating fuel.
Multistage Area Probability Sample
In a multistage area probability sample design, the universe is broken up into successively smaller, statistically selected areas. The process starts with the selection of primary sampling units (PSUs) and ends with the selection of individual households.
Primary Sampling Units (PSUs)
PSUs are either metropolitan areas containing a central city of 50,000 or larger population, or they are counties or groups of counties containing small cities and rural areas. In the sample design used for the 1997 RECS, the total land area of the 50 States and the District of Columbia was divided into 1,786 PSUs. These PSUs were based on county and independent city boundaries and on Metropolitan Statistical Areas (MSAs) as defined in June 1990.
The primary mode of stratification of PSUs was by the nine Census divisions. Strata were separately defined within Census divisions for four populous States (California, Florida, New York, and Texas) and for two States with unique weather conditions (Alaska and Hawaii). Stratification was also based on MSA or nonMSA status of PSUs and, to the extent feasible, on dominant residential space-heating fuel and weather conditions. PSUs were grouped into 116 strata with one PSU selected from each strata. The PSUs that were selected for the 1993 RECS were also used for the 1997 RECS.
Secondary Sampling Units (SSUs)
A number of SSUs, usually eight or more, were selected in each PSU. SSUs consisted of one or more Census blocks, selected directly from Census statistics. Blocks were combined, as necessary, to create SSUs that contained at least 50 housing units.
The 1997 RECS sample design completed the redesign effort that started with the 1993 RECS. The SSUs used for the 1997 RECS were either the SSUs selected in the redesign effort or were SSUs selected as part of a new construction update procedure.
The starting point for the SSU new construction update procedure was the set of SSUs selected for the 1993 RECS. The first step was to expand the 1993 SSUs. A new construction update procedure was used to determine if significant new construction--defined as groups of 50 or more housing units--had occurred within the expanded SSUs since 1993. This was based on a canvass, primarily by telephone, of local sources of information, such as building-permit-issuing agencies, zoning boards, and tax offices. If no significant new construction had occurred, the SSU selected for the 1993 RECS was used for the 1997 RECS. If significant new construction had occurred, rough counts of the number of housing units by block were obtained for the expanded SSU, the expanded SSU was divided into segments, and a segment was selected. The selected segment was then used as the SSU for the 1997 RECS.
The detailed field listings of all housing units in the 1997 RECS SSUs were either carried over from the 1993 RECS or were created by field workers who visited the SSUs and identified each housing unit by street address, apartment number, or other obvious features. New field listings were necessary for SSUs in PSUs where the redesign effort was not completed for the 1993 RECS and for SSUs where significant new construction was found in the corresponding expanded SSU. A penultimate cluster of approximately 50 housing units was selected from each SSU.
Addresses of these housing units were placed in a database used for actual sample selection.
Sample Selection--Ultimate Clusters
Specific addresses chosen from each of the field listings comprised the ultimate clusters of the 1997 RECS sample. An ultimate cluster of housing units to be contacted for interview (averaging 5.6 housing units for the 1997 RECS) was randomly selected by computer from the penultimate cluster; these housing units constituted the assignments given to interviewers.
Population of Special Interest
The 1997 survey featured a supplemental sample of low-income households designed to be merged with the main RECS sample and to meet special analytical needs of the Office of Family Assistance, Family Support Administration (FSA), U.S. Department of Health and Human Services. The FSA is interested in households living below the poverty level.
Procedures for over-sampling this population were based on interviewer observations during the field listing of SSUs. Interviewers were instructed to rate the general income level of each block in the listing segment based on their observations and their general knowledge of the area. Interviewers placed each listing segment into one of four groups: Wealthy (highest 25 percent); Upper-Middle Class (second quartile); Lower-Middle Class (third quartile); or Poor or Near Poor (lowest 25 percent). Whenever possible, interviewers also recorded main heating fuel for each listing segment. Households in the Lower-Middle Class and Poor or Near Poor categories were sampled at a higher rate.
It is not possible to divide the sample into the main sample and supplemental sample, but it is possible to estimate how many observations of various types were added as a result of the supplemental low-income sample.
An estimated 808 interviews were completed in the households selected as part of the low-income supplement. Some 31.8 percent of completed interviews in the supplemental sample were with households living below the poverty level, compared with 14.5 percent of completed interviews in the main sample. The number of households below the Low-Income Home Energy Assistance Program (LIHEAP) level were 57.3 percent of the supplemental sample and 34.1 percent of the main sample.
Household Survey
A complete RECS interview consists of data for a completed household questionnaire and a signed Authorization Form. The large majority of interviews were completed via a Computer Assisted Personal Interviewing (CAPI) system. The survey instrument was programmed by EIA personnel using the BLAISE software system. The paper version of the survey instrument can be found in Form EIA-457A, "Household Questionnaire." Because of early technical problems, some of the initial interviews had to be completed using the paper version of the questionnaire. At the end of each interview, the household respondent was asked to sign an Authorization Form. The signed Authorization Form gave permission for EIA's subcontractor to obtain the housing unit's energy bills from each supplier of energy.
A total of 8,310 housing units were selected to participate in the 1997 RECS. Of these 8,310 households, 7,285 were determined to be eligible to participate. Completed interviews were obtained for 5,902 (81.0 percent) of these eligible households. This section describes the procedures involved in collecting the completed interviews.
Conducting the Interviews
Interviewer Training
In April 1997, two separate three-day training sessions were held in Washington, DC. These sessions were attended by approximately 220 interviewers. Each session was led by a group of trainers who had attended a four-day trainers' workshop in Rockville, MD. All training sessions were monitored by Department of Energy staff.
The Interviewers
A total of 214 interviewers completed one or more personal interviews for this study. Seventy-five interviewers (35 percent) had completed interviews during a prior RECS. The remainder were conducting their first RECS but had prior interviewing experience, either with other survey research organizations or with the U.S. Bureau of the Census.
Interviewers conducted an average of 27 interviews. Four interviewers completed fewer than seven interviews each, with an average of three per interviewer. Fifteen interviewers completed 50 or more interviews each, with an average of 58 per interviewer. Twenty percent of the personal interviews were verified by telephone or mail to ensure that interviews were conducted as intended.
The Interview
Household interviews were conducted with the householder or the householder's spouse and, on average, lasted 29 minutes; nearly 80 percent of the interviews lasted between 15 and 45 minutes. The questions covered energy-related features of the household, such as the type of heating and cooling systems, the fuels used for heating and cooling, household appliances and their usage, the receipt of government assistance for the cost of heating, and demographic data on household members.
Data Collection Dates
Approximately three-quarters of the personal interviews were completed between the middle of April and the middle of June 1997. Ninety-nine percent of the entire sample was completed by mid-August. In a few sample locations with low response rates, interviewing continued through August. In late August, an abbreviated, self-administered version of the household questionnaire was mailed to 1,421 sample households who still had not completed a personal interview. A total of 181 usable mail questionnaires were returned by the end of September 1997. A mail questionnaire was considered usable if the respondent had completed the majority of the questionnaire and the Authorization Form was signed. A follow-up contact was made with all respondents who completed a personal interview and reported paying for at least one fuel but did not complete an authorization form. Attempts were made to secure signed authorization forms from approximately 570 respondents. This follow-up continued through January 1998 and resulted in an additional 95 signed authorization forms.
Data Collection Procedures
In an effort to minimize nonresponse and, therefore, maximize the validity of the survey data, a multiwave, multicontact approach was employed. Before the initial personal contacts, a letter stressing the purpose and importance of the survey was sent to each household with a street address. Beginning in April 1997, interviewers made several callbacks at different times of the day, throughout the week, in an effort to minimize the number of uncontacted households. The interviewers also queried neighbors regarding the most opportune times to contact the prospective respondent.
After initial attempts to complete interviews at the selected housing units were exhausted, field supervisors determined which cases would be reassigned to another interviewer. Types of noninterview households that were reassigned included cases where the householder refused to participate and cases where the householder was not available or not at home. Types of noninterview households that were not reassigned included cases where the householder would be unable to complete an interview during the field period due to absence or illness and cases where the household had moved after the initial contact. Reassignments continued throughout the field period.
Mail follow-up attempts were made at households that had not completed a personal interview. An abbreviated, self-administered version of the questionnaire was mailed to these households with a letter asking that they return the completed questionnaire in the business reply envelope provided. The mailing also included a copy of the Authorization Form for the respondents to fill out and sign. A pen was included with the mailing as an incentive.
After all data collection attempts (both personal interview and the mailed questionnaire), 1,383 households or 19.0 percent of all eligible housing units had not responded.
Table A1 provides a summary of the data collection activities.
Table A1. Data Collection Response Summary for the 1997 RECS
Units | Mathematical Operand | Subtotals | Totals |
---|---|---|---|
Selected Sample Units | 8,310 | ||
Out-of-Scope Units | minus (-) | 135 | |
Housing Units | equals (=) | 8,175 | |
Ineligible Units | minus (-) | 890 | |
Eligible Units (or number contacted) | equals (=) | 7,285 | |
Not Completed: | |||
No One Home | 360 | ||
Refused | 951 | ||
Other | 253 | ||
Subtotal Not Completed | minus (-) | 1,564 | |
Total Interviews Completed | equals (=) | 5,721 | |
Mail Questionnaires Completed | plus (+) | 181 | |
Total Responses | equals (=) | 5,902 | |
Sources: Energy Information Administration, 1997 Residential Energy Consumption Survey (RECS). |
Response Rates and Household Characteristics
Various response and nonresponse rates were compared across Census region, urban status, and housing structure type. Personal interviewers were most successful in the South (81.1 percent) and the Midwest (80.2 percent), in rural areas (85.0 percent), and in single-family and mobile homes (80.5 percent). Conversely, the interviewers had their lowest success rates in the Northeast (73.1 percent), in urban and suburban areas (76.4 percent combined), and in buildings with five or more residential units (72.1 percent). However, when comparing these groups, it is important to remember that their characteristics are not necessarily independent. For example, apartment buildings are concentrated in urban areas.
The total response-rate patterns generally were not affected by including the mailed-questionnaire responses. However, response rates for the mail efforts tended to be higher where the refusal rate to the personal interview was higher.
Data Editing
Data for completed interviews were transferred to the main server at the survey contractor's headquarters via modem. The data were then sent to the survey subcontractor's headquarters for further processing. All paperwork was mailed to the survey subcontractor's headquarters. The paperwork, including the Housing Unit Record Sheet (HURS), the Authorization Form, and the Housing Unit Address Lists were reviewed to ensure that all forms had been completed correctly and that the correct housing unit had been interviewed.
Edits were programmed into the Household Questionnaire and this resulted in far fewer missing data items than in previous surveys. See Appendix B, "Survey Estimates and Data Quality," for more information on this topic.
The subcontractor attempted to resolve inconsistencies or ambiguities in the data by referencing interviewer notes and other parts of the questionnaire. When these efforts failed to resolve important problems, particularly those involving heating fuels or heating equipment and/or relationships between questionnaire responses, the subcontractor made a follow-up telephone contact with the rental agent or with a member of the household in question.
Rental-Agent Survey
The Rental-Agent Survey is an adjunct to the Household Survey and is used to verify information furnished by certain RECS households on fuels used, main heating equipment, how fuels are paid for, and other energy-related topics. Telephone interviews were conducted using Form EIA-457C, "Rental Agents, Landlords, and Apartment Managers Telephone Survey," with the rental agents and landlords of the following types of RECS households: households that did not pay for their fuels, households who paid a third party for their fuel and who rent their living quarters or own and occupy living quarters in a multiunit building.
The interviews with rentals agents or their representatives were conducted in early fall 1997. Altogether, 186 landlords or rental agents were interviewed; these interviews covered 382 households. These 382 households represented 59 percent of the 650 total households who were eligible for inclusion in the Rental Agent Survey.
Comparisons were made between rental agents' and household respondents' reports on their building's year of construction; main space-heating and water-heating fuels; main space-heating equipment; fuel for cooking range; central air-conditioning information; and how the fuels for all of these uses are paid for. Each discrepancy was examined and changes were made to the household data whenever it was judged that the rental agent was more knowledgeable than the household respondent on the different items of information.
Generally, the person who paid for a specific fuel for a specific use was deemed the more knowledgeable person. However, error resolutions were made only after careful examination and consideration of all available sources of information including the rental-agent questionnaire, the household questionnaire, and questionnaires of other households located in the same building. Landlords and rental agents were usually judged more knowledgeable about the year the building was built and the type of main heating equipment; household respondents were typically deemed more reliable sources concerning central air-conditioning and fuel for cooking range.
Confidentiality of Information
EIA does not receive nor take possession of the names or addresses of individual respondents or any other individually identifiable energy data that could be specifically linked with a household respondent; the data are collected for statistical purposes only. All names and addresses and identifiable information are maintained by the survey subcontractor for verification purposes only. The household records that are placed on the public-use data file do not have name or address information. Additional measures have been taken to mask the data for further confidentiality protection. Unlike other EIA surveys, the consumption surveys pledge confidentiality to their respondents.
1997 Data Quality
All the statistics published in this report are estimates of population values, such as the number of households using natural gas. These estimates are based on a randomly chosen subset of the entire population of households. The universe includes all households in the 50 States and the District of Columbia, including households on military installations.
The two major types of nonresponse are unit nonresponse and item nonresponse. Unit nonresponse occurs when a sampled household does not participate in the survey. Item nonresponse occurs when a particular item of interest is missing from a completed questionnaire. The next two sections provide details on the procedures followed for each type of nonresponse.
Adjustments for Unit Nonresponse
Weight adjustment was used to reduce unit nonresponse bias in the survey statistics. Weights were calculated for each sample household. The household weight reflected the selection probability for that household and additional adjustments. These adjustments included correcting for potential biases arising from the failure to list all housing units in the sample area and failure to contact all sample housing units. Contacts were unsuccessful with 19.0 percent of the eligible units.
Six factors are used in the processing of Residential Energy Consumption Survey (RECS) results to develop an overall weight for each household for which a completed questionnaire, either a personal interview or mailed questionnaire, is obtained. The factors are the basic weight, a noninterview adjustment, a first-stage ratio estimate, and three second-stage ratio adjustments. The overall household weight is the product of these six factors.
The Basic Weight
The basic weight is calculated and applied to households at the Secondary Sampling Unit (SSU) level.
Basic Weight = 1/ (Probability of Selection)
For the 1997 RECS, all households in the same SSU had the same probability of selection and hence the same basic weight.
The Noninterview Adjustment
The noninterview adjustment factor (NIAF) compensates for nonresponse households and for nonhousehold units that were identified during the survey. Basically, this adjustment reflects the ratio of the number of completed and uncompleted responses among those selected to the number of completed responses. Since the probabilities of selection are constant within an SSU for 1997, these adjustments were applied at the SSU level.
The NIAF is computed at the SSU and is equal to:
(Total Completed Plus Uncompleted Responses in the SSU / (Completed Responses in the SSU)
If the ratio exceeds 2.0, then the NIAF is set equal to 2.0 and the NIAFs for SSUs in the same Primary Sampling Unit (PSU) and with the same metropolitan status are increased.
The First-Stage Ratio Adjustment Factors
The primary purpose of the first-stage adjustment factor is to reduce the sampling variation in the estimates of the number of housing units by main space-heating fuel resulting from sampling of PSUs during the first stage of the sample design. The correlation between main space-heating fuel and other important energy-related characteristics implies that this adjustment will also reduce the sampling variation for many important variables collected for the RECS.
In some cases, a single PSU comprising all or part of a large metropolitan area was large enough in population to be a stratum by itself. PSUs of this type are called Self-Representing (SR) PSUs because the sample from each SR PSU represents only that PSU. The first-stage ratio adjustment factor was 1.0 for all observations in SR PSUs.
In other strata, one PSU was selected from among two or more PSUs in the stratum. Each of the PSUs selected from these strata is called a Non-Self-Representing (NSR) PSU because each such PSU represents not only itself; it also represents the unselected PSUs in the stratum.
The 1990 Census data were used to determine the difference between the distribution of the main space-heating fuel in the set of selected NSR PSUs and the distribution in the set of all PSUs (selected and unselected) in the strata from which the NSR PSUs are selected. Fuels are under-represented if the percentage of households using the fuel is lower in the selected NSR PSUs than the percentage in the set of all PSUs in the NSR strata. Fuels are over-represented if the opposite occurs. The weights for the responding households in NSR PSUs are adjusted upward when their main space-heating fuel is under-represented and the weights are adjusted downward when it is over-represented.
The Second-Stage Ratio Adjustments
The second-stage ratio adjustments are used to improve the accuracy of the estimates of the number of households using data obtained from the Bureau of the Census as control totals. The RECS can be used to produce an estimate of the number of households in the country, but the Bureau of the Census produces much more accurate estimates. Improving the accuracy of the data on the number of households also improves the accuracy of almost all other estimates obtained from the RECS. The first priority is the accuracy of estimates for the number of households for the nine Census divisions and for the four largest States. The second priority is the accuracy of estimates for the number of households for three demographic cells (multiperson households, single-member female households, and single-member male households).
The ratio adjustment process was carried out in three steps. In step one, the population was divided into 15 geographical cells. (Hawaii and Alaska were treated as separate cells because their climate is different than the rest of the country.) Control totals giving the number of households in each cell were derived from Current Population Survey results. A ratio adjustment equal to the control total divided by the weighted count using the weights after the first-stage ratio adjustment was created. Multiplying the weights after the first-stage ratio adjustment by the ratio yields the new weights which, when summed, equal the control totals for the 15 cells. This calculation yielded a weighted total number of households equal to 101,481,000. Refer to Table B1 for estimates for each of the 15 geographical areas.
The third step is the same as the first step except that the input weights are those resulting from the second step. This produced a set of weights whose sum reproduced the 15 geographic cell control totals and yielded estimates that are quite close to the control totals for the three demographic cells.
Location |
Thousands of Households |
---|---|
New England |
5,310 |
Middle Atlantic (minus New York State) |
7,597 |
East North Central |
16,907 |
West North Central |
7,153 |
South Atlantic (minus Florida) |
12,764 |
East South Central |
6,344 |
West South Central (minus Texas) |
3,876 |
Mountain |
6,179 |
Pacific (minus Alaska, California, and Hawaii) |
3, 532 |
New York |
6,827 |
Florida |
5,929 |
Texas |
6,964 |
California |
11,484 |
Alaska |
229 |
Hawaii |
386 |
Total United States |
101,481 |
Source: EIA's linear extrapolation from U.S. Bureau of the Census, 1996 and 1997 Current Population Survey. |
Adjustments for Item Nonresponse
Item nonresponse occurs when respondents do not know the answer or refuse to answer a question, or when an interviewer does not ask a question or does not record an answer. The incidence of the latter, the interviewer not asking and/or not recording the answer, was greatly reduced by the use of Computer Assisted Personal Interviewing (CAPI). The majority of nonresponse was due to interviewers recording answers of "Don't Know" and "Refused." Some item nonresponse was due to programming problems in the questionnaire. Table B2 lists the most frequently imputed items in the 1997 RECS.
The number of item imputations for the 181 households receiving mail questionnaires was considerable, since these questionnaires contained only a small subset of questions from the household interview. For the mail questionnaires, a modified hot-deck imputation method was used. A hot-deck matrix was created for mail questionnaires and personal-interview households using Census region, type of housing unit structure, space-heating fuel, water-heating fuel, and presence and type of air-conditioning. Whenever possible, a donor personal-interview household was chosen for each mail questionnaire household from the same cell of the hot-deck matrix. For 90 percent of the mail questionnaires, donors matched on all hot-deck variables.
Imputed Item | Cases Imputed | Percentage of Total Samplea (5,721) |
Method of Imputing | Question Number on Questionnaire |
---|---|---|---|---|
Income in past 12 months | 1,016 | 17.8 | Hot deck | J-14a |
Year home was built | 395 | 6.9 | Hot deck | A-15a |
Age of water-heating equipment | 348 | 6.1 | Deductive/Hot deck | E-4 |
Way household used central AC equipment | 297 | 5.2 | Hot deck | F-6a |
Number of children between the ages of 1 and 12 | 250 | 4.4 | Hot deck | J-1e |
Number of infants under the age of 1 | 238 | 4.2 | Hot deck | J-1d |
Way household used Window/Wall AC equipment | 149 | 2.6 | Hot deck | F-11 |
Use programmable or manual features of thermostat | 126 | 2.2 | Hot deck | F-6b |
Fuel used to heat hot water | 122 | 2.1 | Hot deck | E-1 |
Electricity shut off because bill was not paid | 120 | 2.1 | Hot deck | K-4 |
Could not use heat because ran out of bulk fuel | 120 | 2.1 | Hot deck | K-5a |
Could not use heat because utility fuel shut off | 199 | 2.1 | Hot deck | K-5b |
Could not use heat because equipment broken | 119 | 2.1 | Hot deck | K-5c |
Amount of heat provided by main heating equipment | 108 | 1.9 | Hot deck | D-6 |
Type of self-cleaning oven | 104 | 1.8 | Hot deck | B-3 |
Received employment income in last 12 months | 103 | 1.8 | Hot deck | K-1a |
Received retirement income in last 12 months | 103 | 1.8 | Hot deck | K-1b |
Received cash benefits in last 12 months | 103 | 1.8 | Hot deck | K-1c |
Received non-cash benefits in last 12 months | 103 | 1.8 | Hot deck | K-1d |
Government help in paying home heating costs | 102 | 1.8 | Hot deck | K-2a |
Government help in paying home cooling costs | 102 | 1.8 | Hot deck | K-2b |
Government help in paying other home energy costs | 102 | 1.8 | Hot deck | K-2c |
Amount of wood burning in past 12 months | 97 | 1.7 | Hot deck | H-7d |
Age of householder | 93 | 1.6 | Allocative | J-9 |
Amount of heating assistance received | 82 | 1.4 | Hot deck | K-3d |
Mailed interviews are not included in the percentage. To account for these, add 3 percentage points to the percentage points given. Source: Energy Information Administration, Office of Energy Markets and End Use, Form EIA-457 A of the 1997 Residential Energy Consumption Survey (RECS). RECS Public Use Data Files. |
The use of CAPI techniques allowed EIA to program skip patterns, edit checks, and range checks into the questionnaire. As a result, the quality of the data collected during the interview improved and the amount of time needed to edit and clean the data was reduced. Some of this improvement can be attributed to the fact that the 1997 RECS questionnaire was shorter than the 1993 RECS questionnaire. But the switch to CAPI did result in cleaner data. For example, the data collected during the paper and pencil interviews for the 1993 RECS resulted in 40 variables with more than 100 cases where there were missing data. On the other hand, the data collected during the CAPI interviews for the 1997 RECS resulted in only 22 variables with more than 100 cases where there were missing data.
The questions on both income and year home was built have resulted in a substantial amount of missing data for each RECS. The 1997 RECS was no exception. The large amount of missing data for the age of the water-heating equipment, the number of children, and the number of infants was caused by errors in the skip patterns in the CAPI questionnaire. The plans the 1997 RECS questionnaire included a question concerning the use of evaporative or swamp coolers in housing units located in hot, dry areas of the country and a question concerning the use of automobile block heaters in cold areas of the country, but errors in the skip patterns forced the CAPI instrument to skip these questions for all households.
Quality of Specific Data Items
Housing Unit Type
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.
Programmable (Set-Back or Clock) Thermostats
The 1993 and 1997 RECS both contained questions on the presence of a programmable thermostat. In both surveys, the thermostats were referred to as "set-back or clock thermostats," but not programmable thermostats. For the 1993 RECS, the question was placed in the section on conservation measures and usage (following questions on insulation, weather stripping, and caulking). For the 1997 RECS, it was placed in the space-heating section, immediately following the question on the presence of a thermostat. The 1997 RECS also included a question that asked respondents if they programmed the thermostat or used the manual features. Based on the 1993 RECS, an estimated 10.8 million households had programmable thermostats in 1993. Based on the 1997 RECS, an estimated 33.1 million households had programmable thermostats in 1997. Of these 33.1 million, an estimated 10.2 million programmed their thermostats and an estimated 22.9 million used the manual features.
The large increase in the number of housing units with programmable thermostats from 1993 to 1997 is questionable. The change in the placement of the question may have contributed to the large change in the survey results. In addition, the question concerning programmed versus manual use of the thermostats may have changed how the interviewers coded the question on the presence of a programmable thermostat.
Estimation of Sampling Error
Sampling error is the random difference between a survey estimate and an actual population value. It occurs because the survey estimate is calculated from a randomly chosen subset of the entire population. The sampling error averaged over all possible samples would be zero, but there is only one sample for the 1997 RECS. Therefore, the sampling error is not zero and is unknown for the 1997 RECS sample. However, the sample design permits sampling errors to be estimated. This section describes how the sampling errors were estimated and how they were made available to readers of this report who are interested in the precision of the estimates in this report.
Throughout this report, standard errors are given as percents of their estimated values; that is, as relative standard errors (RSE). The RSE is also known as the coefficient of variation.
For a given population parameter Y that is estimated by the survey statistic Y, the relative standard error of Y, RSE(Y), and standard error of Y, S(Y), are given by:
RSE(Y) = [S(Y)/Y] × 100.
S(Y) = [RSE(Y)/100] × Y.
For some surveys, a convenient algebraic formula for computing variances can be obtained. However, the RECS used a multistage area sample design of such complexity (see Appendix A, "How the Survey Was Conducted") that it is virtually impossible to construct an exact algebraic expression for estimating variances. In particular, convenient formulas based on an assumption of simple random sampling, typical of most standard statistical packages, are inappropriate for the RECS estimates. Such formulas tend to give low values for standard errors, making the estimates appear much more accurate than is the case. Instead, the method used to estimate sampling variances for this survey was balanced half-sample replication. The balanced half-sample replication method involves calculating the value for a statistic using the full sample and calculating the value for each of a systematic set of half samples. (Each half sample contains approximately one-half of the observations contained in the full sample.) The variance is estimated using the differences between the value of the statistic calculated using the full sample and the values of the statistic calculated using each of the half samples.
Generalized Variances
For every estimate in this report, the RSE was computed by the balanced half-sample replication method. This RSE was used for any statistical tests or confidence intervals given in the text, or to determine if the estimate was too inaccurate to publish (RSE greater than 50 percent).
Space limitations prevent publishing the complete set of RSEs with this document. Instead, a generalized variance technique is provided, by which the reader can compute an approximate RSE for each of the estimates in the detailed tables. For the statistic in the ith row and jth column of a particular table, the approximate RSE is given by:
RSE(i,j) = R(i) × C(j)
where R(i) is the RSE row factor given in the last column of row i, and C(j) is the RSE column factor given at the top of column j. This value for the relative standard error can be used to construct confidence intervals and to perform hypothesis tests by standard statistical methods. However, because the generalized variance procedure gives only approximate RSEs, such confidence intervals and statistical tests must also be regarded as only approximate.
Specific questions on this product may be directed to:
Chip Berry
James.Berry@eia.gov
RECS Survey Manager
Phone: (202) 586-5543
Fax: (202) 586-0018
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