National Library of Energy BETA

Sample records for household income percent

  1. Loan Programs for Low- and Moderate-Income Households | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Programs for Low- and Moderate-Income Households Loan Programs for Low- and Moderate-Income Households Better Buildings Residential Network Multifamily and Low-Income Housing Peer ...

  2. Table 2. Percent of Households with Vehicles, Selected Survey...

    Energy Information Administration (EIA) (indexed site)

    Percent of Households with Vehicles, Selected Survey Years " ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",85.5450237,89.00343643,88.75545852,89.42917548,87.25590956,92.08...

  3. Fact #565: April 6, 2009 Household Gasoline Expenditures by Income |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy 5: April 6, 2009 Household Gasoline Expenditures by Income Fact #565: April 6, 2009 Household Gasoline Expenditures by Income In the annual Consumer Expenditure Survey, household incomes are grouped into five equal parts called quintiles (each quintile is 20%). Households in the second and third quintiles consistently have a higher share of spending on gasoline each year than households in the other quintiles. Household Gasoline Expenditures by Income Quintile Bar graph

  4. Loan Programs for Low- and Moderate-Income Households

    Energy.gov [DOE]

    Better Buildings Residential Network Multifamily and Low-Income Housing Peer Exchange Call Series: Loan Programs for Low- and Moderate-Income Households, March 13, 2014.

  5. Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own Three or More Vehicles

    Office of Energy Efficiency and Renewable Energy (EERE)

    Household vehicle ownership has changed over the last six decades. In 1960, over twenty percent of households did not own a vehicle, but by 2010, that number fell to less than 10%. The number of...

  6. Delivering Energy Efficiency to Middle Income Single Family Households

    SciTech Connect

    none,

    2011-12-01

    Provides state and local policymakers with information on successful approaches to the design and implementation of residential efficiency programs for households ineligible for low-income programs.

  7. "Table HC7.5 Space Heating Usage Indicators by Household Income...

    Energy Information Administration (EIA) (indexed site)

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... for 2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ...

  8. Effect of Income on Appliances in U.S. Households, The

    Reports and Publications

    2004-01-01

    Entails how people live, the factors that cause the most differences in home lifestyle, including energy use in geographic location, socioeconomics and household income.

  9. Forum on Enhancing the Delivery of Energy Efficiency to Middle Income Households: Discussion Summary

    SciTech Connect

    none,

    2012-09-20

    Summarizes discussions and recommendations from a forum for practitioners and policymakers aiming to strengthen residential energy efficiency program design and delivery for middle income households.

  10. Targeted Marketing and Program Design for Low- and Moderate-Income Households

    Energy.gov [DOE]

    Better Buildings Neighborhood Program Low- / Moderate-Income Peer Exchange Call: Targeted Marketing and Program Design for Low- and Moderate-Income Households, Call Slides and Discussion Summary, October 11, 2011.

  11. EPA Webinar: Bringing Energy Efficiency and Renewable Housing to Low-Income Households

    Energy.gov [DOE]

    Hosted by the U.S. Environmental Protection Agency, this webinar will explore the topic of linking and leveraging energy efficiency and renewable energy programs for limited-income households, including the need to coordinate with other energy assistance programs.

  12. Table HC1-3a. Housing Unit Characteristics by Household Income,

    Energy Information Administration (EIA) (indexed site)

    3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Census Region and Division Northeast

  13. "Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005"

    Energy Information Administration (EIA) (indexed site)

    0 Home Appliances Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Usage Indicators"

  14. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... 29.1 5.3 22.7 3.8 1 Below 150 percent of poverty line or 60 percent of median State income

  15. The Impact of Carbon Control on Low-Income Household Electricity and Gasoline Expenditures

    SciTech Connect

    Eisenberg, Joel Fred

    2008-06-01

    In July of 2007 The Department of Energy's (DOE's) Energy Information Administration (EIA) released its impact analysis of 'The Climate Stewardship And Innovation Act of 2007,' known as S.280. This legislation, cosponsored by Senators Joseph Lieberman and John McCain, was designed to significantly cut U.S. greenhouse gas emissions over time through a 'cap-and-trade' system, briefly described below, that would gradually but extensively reduce such emissions over many decades. S.280 is one of several proposals that have emerged in recent years to come to grips with the nation's role in causing human-induced global climate change. EIA produced an analysis of this proposal using the National Energy Modeling System (NEMS) to generate price projections for electricity and gasoline under the proposed cap-and-trade system. Oak Ridge National Laboratory integrated those price projections into a data base derived from the EIA Residential Energy Consumption Survey (RECS) for 2001 and the EIA public use files from the National Household Transportation Survey (NHTS) for 2001 to develop a preliminary assessment of impact of these types of policies on low-income consumers. ORNL will analyze the impacts of other specific proposals as EIA makes its projections for them available. The EIA price projections for electricity and gasoline under the S.280 climate change proposal, integrated with RECS and NHTS for 2001, help identify the potential effects on household electric bills and gasoline expenditures, which represent S.280's two largest direct impacts on low-income household budgets in the proposed legislation. The analysis may prove useful in understanding the needs and remedies for the distributive impacts of such policies and how these may vary based on patterns of location, housing and vehicle stock, and energy usage.

  16. Weatherization assistance for low-income households: An evaluation of local program performance

    SciTech Connect

    Schweitzer, M.; Rayner, S.; Wolfe, A.K.; Mason, T.W.; Ragins, B.R.; Cartor, R.A.

    1987-08-01

    The US Department of Energy's Weatherization Assistance Program (WAP) funds local agencies to provide weatherization services to low-income households. This report describes the most salient features of this program, examines relationships between organization and program outcomes, and presents recommendations for the program's further development. Data were collected by written surveys administered to local weatherization agencies, a telephone survey of 38 states and eight DOE support offices, and site visits to selected local agencies. Locally controlled factors found to be significantly related to program performance include the amount of the weatherization director's time spent on program administration, the use of established client selection criteria, the frequency of evaluation of local goal attainment, and the type of weatherization crews used. Factors controlled at the state or federal levels that influence program performance include delays in state reimbursements of local agency expenditures and local flexibility in the choice of weatherization measures. Data-gathering difficulties experienced during this project indicate a need for possible improvements in goal-setting and record-keeping procedures.

  17. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    1 Home Electronics Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Electronics Characteristics"

  18. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    2 Living Space Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Living Space Characteristics"

  19. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    4 Space Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Space Heating Characteristics"

  20. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    6 Air Conditioning Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Air Conditioning Characteristics"

  1. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    7 Air-Conditioning Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Air-Conditioning Usage Indicators"

  2. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    HC7.9 Home Appliances Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Characteristics" "Total

  3. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    3 Lighting Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Lighting Usage Indicators" "Total U.S. Housing

  4. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    8 Water Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Water Heating Characteristics"

  5. BENTON PUD LOW INCOME CONSERVATION PROGRAM

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    result in a preference being given to households with incomes below 125% of Federal Poverty Guidelines (FPG) Upper low income households with incomes between 125 and 200%...

  6. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  7. "Table HC7.12 Home Electronics Usage Indicators by Household...

    Energy Information Administration (EIA) (indexed site)

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... for 2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ...

  8. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    Air Conditioning Tables (Million U.S. Households; 24 pages, 138 kb) Contents Pages HC4-1a. Air Conditioning by Climate Zone, Million U.S. Households, 2001 2 HC4-2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 2 HC4-3a. Air Conditioning by Household Income, Million U.S. Households, 2001 2 HC4-4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 2 HC4-5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 2

  9. Targeted Marketing and Program Design for Low- and Moderate-Income...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Targeted Marketing and Program Design for Low- and Moderate-Income Households Targeted Marketing and Program Design for Low- and Moderate-Income Households Better Buildings ...

  10. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    3a. Household Characteristics by Household Income, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Household Size 1 Person ....................................... 28.2 9.7 --

  11. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    3a. Appliances by Household Income, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.5 1.4 1.1 1.0 0.8 1.6 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.2 Kitchen Appliances Cooking Appliances Oven

  12. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    3a. Air Conditioning by Household Income, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.5 1.4 1.1 1.0 0.9 1.5 0.9 Households With Electric Air-Conditioning Equipment ........ 82.9 12.3 17.4 21.5 31.7 9.6 23.4 3.9 Air Conditioners Not Used ............ 2.1 0.4 0.7 0.5 0.5 0.4 0.9 20.8

  13. Household magnets

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Household magnets Chances are very good that you have experimented with magnets. People have been fascinated with magnetism for thousands of years. As familiar to us as they may be, magnets still have some surprises for us. Here is a small collection of some of our favorite magnet experiments. What happens when we break a magnet in half? Radio Shack sells cheap ceramic magnets in several shapes. Get a ring shaped magnet and break it with pliers or a tap with a hammer. Try to put it back

  14. Variable Average Absolute Percent Differences

    Energy Information Administration (EIA) (indexed site)

    Variable Average Absolute Percent Differences Percent of Projections Over- Estimated Gross Domestic Product Real Gross Domestic Product (Average Cumulative Growth)* (Table 2) 0.9 45.8 Petroleum Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a) 37.7 17.3 Imported Refiner Acquisition Cost of Crude Oil (Nominal $) (Table 3b) 36.6 18.7 Total Petroleum Consumption (Table 4) 7.9 70.7 Crude Oil Production (Table 5) 8.1 51.1 Petroleum Net Imports (Table 6) 24.7 73.8 Natural Gas

  15. "Table HC15.3 Household Characteristics by Four Most Populated...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line" "Below 100 Percent",16.6,1.5,1,1.5,... " 1. Below 150 percent of poverty line or 60 percent of median State ...

  16. EIA - Household Transportation report: Household Vehicles Energy...

    Energy Information Administration (EIA) (indexed site)

    logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1994 August 1997 Release Next Update: EIA has discontinued this series....

  17. Buildings Energy Data Book: 2.9 Low-Income Housing

    Buildings Energy Data Book

    Program Definitions DOE Weatherization: Department of Energy's Weatherization Assistance Program DOE Weatherization Eligible Households: Households with incomes at or below 125% of the Federal poverty level, which varies by family size; however, a State may instead elect to use the LIHEAP income standard if its State LIHEAP income standard is at least 125% of the Federal poverty level. Data listed in this chapter include previously weatherized units. DOE Weatherization Eligible Households are a

  18. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 New Hampshire - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle ...

  19. BC Hydro Brings Energy Savings to Low-Income Families in Canada...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    BC Hydro Brings Energy Savings to Low-Income Families in Canada BC Hydro Brings Energy Savings to Low-Income Families in Canada The number of British Columbia, Canada, households ...

  20. Household Vehicles Energy Use: Latest Data and Trends - Table...

    Annual Energy Outlook

    ... 6.5 1.5 15.4 957 1,031 Income Relative to Poverty Line Below 100 Percent... 7.9 1.4 14.7 942 937...

  1. Norwich Public Utilities- Zero Percent Financing Program

    Energy.gov [DOE]

    In partnership with several local banks, Norwich Public Utilities (NPU) is offering a zero percent loan to commercial and industrial customers for eligible energy efficiency improvement projects....

  2. Million Cu. Feet Percent of National Total

    Annual Energy Outlook

    Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: ...

  3. Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    its Major Metropolitan Area, 1960-1990, Cambridge, MA, 1994, p. 2-2. 2000 data - U.S. Bureau of the Census, American Fact Finder, factfinder.census.gov, Table QT-04, August 2001. ...

  4. Household energy use in non-OPEC developing countries

    SciTech Connect

    Fernandez, J.C.

    1980-05-01

    Energy use in the residential sector in India, Brazil, Mexico, the Republic of Korea, the Sudan, Pakistan, Malaysia, and Guatemala is presented. Whenever possible, information is included on the commercial fuels (oil, gas, coal, and electricity) and on what are termed noncommercial fuels (firewood, animal dung, and crop residues). Of special interest are the differences in the consumption patterns of urban and rural areas, and of households at different income levels. Where the data allow, the effect of household size on energy consumption is discussed. Section II is an overview of the data for all eight countries. Section III examines those areas (India, Brazil, Mexico City) for which data exist on the actual quantity of energy consumed by households. Korea, the Sudan, and Pakistan, which collect data on household expenditures on fuels, are discussed in Section IV. The patterns of ownership of energy-using durables in Malaysia and Guatemala are discussed in Section V. (MCW)

  5. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    Table S47. Summary statistics for natural gas - Vermont, 2010-2014 - continued -- Not applicable. < Percentage is less than 0.05 percent. R Revised data. W Withheld. a Pipeline and ...

  6. Try This: Household Magnets

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Household Magnets Household Magnets Chances are very good that you have experimented with magnets. People have been fascinated with magnetism for thousands of years. As familiar to us as they may be, magnets still have some surprises for us. Here is a small collection of some of our favorite magnet experiments. What happens when we break a magnet in half? Radio Shack sells cheap ceramic magnets in several shapes. Get a ring shaped magnet and break it with pliers or a tap with a hammer. Try to

  7. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Delaware - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S8. Summary statistics for natural gas - Delaware, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals

  8. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Massachusetts - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross

  9. Projecting household energy consumption within a conditional demand framework

    SciTech Connect

    Teotia, A.; Poyer, D.

    1991-01-01

    Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

  10. Projecting household energy consumption within a conditional demand framework

    SciTech Connect

    Teotia, A.; Poyer, D.

    1991-12-31

    Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

  11. District of Columbia Natural Gas Percent Sold to The Commercial...

    Energy Information Administration (EIA) (indexed site)

    by Local Distribution Companies (Percent) District of Columbia Natural Gas Percent Sold to The Commercial Sectors by Local Distribution Companies (Percent) Decade Year-0 ...

  12. usage_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    Usage Indicators by South Census Region, Million U.S. Households, 2001 5 HC6-12a. Usage Indicators by West Census Region, Million U.S. Households, 2001 5 These data are from the ...

  13. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2001 2 HC2-12a. Household Characteristics by West Census Region, Million U.S. Households, 2001 2 These data are from the 2001 Residential Energy Consumption Survey ...

  14. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    Home Office Equipment by South Census Region, Million U.S. Households, 2001 1 HC7-12a. Home Office Equipment by West Census Region, Million U.S. Households, 2001 1 These data are ...

  15. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    9a. Household Characteristics by Northeast Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.5 Total .............................................................. 107.0 20.3 14.8 5.4 NE Household Size 1 Person ...................................................... 28.2 6.0 4.4 1.6 3.5 2 Persons

  16. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 Alabama - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S1. Summary statistics for natural gas - Alabama, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 346 367 402 436 414 Gas Wells R 6,243 R 6,203 R 6,174 R 6,117 6,044 Production

  17. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    2 Alaska - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S2. Summary statistics for natural gas - Alaska, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 2,040 1,981 2,006 2,042 2,096 Gas Wells R 274 R 281 R 300 R 338 329 Production

  18. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 Colorado - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 5,963 6,456 6,799 7,771 7,733 Gas Wells R 43,792 R 46,141 R 46,883 R 46,876

  19. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 District of Columbia - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic

  20. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Hawaii - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S13. Summary statistics for natural gas - Hawaii, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From

  1. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 Idaho - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S14. Summary statistics for natural gas - Idaho, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From

  2. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    20 Maine - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S21. Summary statistics for natural gas - Maine, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From

  3. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 Mississippi - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S26. Summary statistics for natural gas - Mississippi, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 561 618 581 540 501 Gas Wells R 1,703 R 1,666 R 1,632 R 1,594 1,560

  4. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Montana - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S28. Summary statistics for natural gas - Montana, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 1,956 2,147 2,268 2,377 2,277 Gas Wells R 6,615 R 6,366 R 5,870 R 5,682 5,655

  5. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 New Mexico - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S33. Summary statistics for natural gas - New Mexico, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 12,887 13,791 14,171 14,814 14,580 Gas Wells R 40,231 R 40,441 R 40,119 R

  6. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 New York - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S34. Summary statistics for natural gas - New York, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 988 1,170 1,589 1,731 1,697 Gas Wells R 7,372 R 7,731 R 7,553 R 7,619 7,605

  7. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 North Dakota - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S36. Summary statistics for natural gas - North Dakota, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 5,561 7,379 9,363 11,532 12,799 Gas Wells R 526 R 451 R 423 R 398 462

  8. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    2 Ohio - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S37. Summary statistics for natural gas - Ohio, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 6,775 6,745 7,038 7,257 5,941 Gas Wells R 31,966 R 31,647 R 30,804 R 31,060 26,599

  9. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Oklahoma - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S38. Summary statistics for natural gas - Oklahoma, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 6,723 7,360 8,744 7,105 8,368 Gas Wells R 51,712 R 51,472 R 50,606 R 50,044

  10. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 Oregon - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells R 28 R 24 R 24 R 12 14 Production (million cubic feet) Gross

  11. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    8 Pennsylvania - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S40. Summary statistics for natural gas - Pennsylvania, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 7,046 7,627 7,164 8,481 7,557 Gas Wells R 61,815 R 62,922 R 61,838 R

  12. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 Tennessee - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S44. Summary statistics for natural gas - Tennessee, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 52 75 NA NA NA Gas Wells R 1,027 R 1,027 1,089 NA NA Production (million cubic

  13. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    8 Texas - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S45. Summary statistics for natural gas - Texas, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 85,030 94,203 96,949 104,205 105,159 Gas Wells R 139,368 R 140,087 R 140,964 R 142,292

  14. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 Utah - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S46. Summary statistics for natural gas - Utah, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 3,119 3,520 3,946 4,249 3,966 Gas Wells R 7,603 R 8,121 R 8,300 R 8,537 8,739 Production

  15. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Virginia - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S48. Summary statistics for natural gas - Virginia, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 2 1 1 2 2 Gas Wells R 7,781 R 7,874 7,956 R 8,061 8,111 Production (million

  16. Household waste disposal in Mekelle city, Northern Ethiopia

    SciTech Connect

    Tadesse, Tewodros Ruijs, Arjan; Hagos, Fitsum

    2008-07-01

    In many cities of developing countries, such as Mekelle (Ethiopia), waste management is poor and solid wastes are dumped along roadsides and into open areas, endangering health and attracting vermin. The effects of demographic factors, economic and social status, waste and environmental attributes on household solid waste disposal are investigated using data from household survey. Household level data are then analyzed using multinomial logit estimation to determine the factors that affect household waste disposal decision making. Results show that demographic features such as age, education and household size have an insignificant impact over the choice of alternative waste disposal means, whereas the supply of waste facilities significantly affects waste disposal choice. Inadequate supply of waste containers and longer distance to these containers increase the probability of waste dumping in open areas and roadsides relative to the use of communal containers. Higher household income decreases the probability of using open areas and roadsides as waste destinations relative to communal containers. Measures to make the process of waste disposal less costly and ensuring well functioning institutional waste management would improve proper waste disposal.

  17. Table 5.9. U.S. Average Vehicle-Miles Traveled by Family Income...

    Energy Information Administration (EIA) (indexed site)

    1993 Household Characteristics RSE Column Factor: Total 1993 Family Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factor: Less than 5,000 5,000...

  18. Energy-efficient housing alternatives: a predictive model of factors affecting household perceptions

    SciTech Connect

    Schreckengost, R.L.

    1985-01-01

    The major purpose of this investigation was to assess the impact of household socio-economic factors, dwelling characteristics, energy conservation behavior, and energy attitudes on the perceptions of energy-efficient housing alternatives. Perceptions of passive solar, active solar, earth sheltered, and retrofitted housing were examined. Data used were from the Southern Regional Research Project, S-141, Housing for Low and Moderate Income Families. Responses from 1804 households living in seven southern states were analyzed. A conceptual model was proposed to test the hypothesized relationships which were examined by path analysis. Perceptions of energy efficient housing alternatives were found to be a function of selected household and dwelling characteristics, energy attitude, household economic factors, and household conservation behavior. Age and education of the respondent, family size, housing-income ratio, utility income ratio, energy attitude, and size of the dwelling unit were found to have direct and indirect effects on perceptions of energy-efficient housing alternatives. Energy conservation behavior made a significant direct impact with behavioral energy conservation changes having the most profound influence. Conservation behavior was influenced by selected household and dwelling characteristics, energy attitude, and household economic factors.

  19. Buildings Energy Data Book: 2.9 Low-Income Housing

    Buildings Energy Data Book

    2 Energy Burden Definitions Energy burden is an important statistic for policy makers who are considering the need for energy assistance. Energy burden can be defined broadly as the burden placed on household incomes by the cost of energy, or more simply, the ratio of energy expenditures to household income. However, there are different ways to compute energy burden, and different interpretations and uses of the energy burden statistics. DOE Weatherization primarily uses mean individual burden

  20. ac_household2001.pdf

    Annual Energy Outlook

    ... those households were treated as if the fuel was electricity. 3 The 2001 RECS reported ... Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding ...

  1. Household Vehicles Energy Consumption 1991

    Energy Information Administration (EIA) (indexed site)

    or commercial trucks (See Table 1). Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 5 The 1991 RTECS count includes vehicles that were owned or used...

  2. Household Vehicles Energy Consumption 1991

    Energy Information Administration (EIA) (indexed site)

    logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1991 December 1993 Release Next Update: August 1997. Based on the 1991...

  3. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    0a. Household Characteristics by Midwest Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.7 Total .............................................................. 107.0 24.5 17.1 7.4 NE Household Size 1 Person ...................................................... 28.2 6.7 4.7 2.0 6.2 2 Persons

  4. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    1a. Household Characteristics by South Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.1 1.5 1.6 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Household Size 1 Person ...................................................... 28.2 9.9 5.0 1.8 3.1 6.3 2 Persons

  5. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2a. Household Characteristics by West Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.8 1.1 Total .............................................................. 107.0 23.3 6.7 16.6 NE Household Size 1 Person ...................................................... 28.2 5.6 1.8 3.8 5.4 2 Persons .................................................... 35.1 7.3 1.9 5.5

  6. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    4a. Household Characteristics by Type of Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.4 0.5 1.6 1.4 2.0 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.3 Household Size 1 Person ....................................... 28.2 15.0 3.3 7.9 1.9 5.9 2 Persons

  7. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    6a. Household Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total Rented Units ........................ 34.3 10.5 7.4 15.2 1.1 6.9 Household Size 1 Person ....................................... 12.3 2.5 2.6 7.0 0.3 10.0 2 Persons

  8. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    8a. Household Characteristics by Urban/Rural Location, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.4 1.3 1.4 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.1 Household Size 1 Person ...................................................... 28.2 14.6 5.3 4.8 3.6 6.4 2 Persons .................................................... 35.1 15.7 5.7

  9. Household Vehicles Energy Use: Latest Data and Trends - Table...

    Gasoline and Diesel Fuel Update

    ... 9.6 5.0 100 4.4 6.2 4.5 0.8 6.8 4.5 Income Relative to Poverty Line Below 100 Percent... 11.4 6.0 116 5.1 5.6...

  10. Percent of Commercial Natural Gas Deliveries in California Represented...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    California Represented by the Price (Percent) Percent of Commercial Natural Gas Deliveries in California Represented by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep ...

  11. Percent of Industrial Natural Gas Deliveries in New Mexico Represented...

    Energy Information Administration (EIA) (indexed site)

    Mexico Represented by the Price (Percent) Percent of Industrial Natural Gas Deliveries in New Mexico Represented by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct ...

  12. Arizona - Natural Gas 2015 Million Cu. Feet Percent...

    Gasoline and Diesel Fuel Update

    4 Arizona - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: ...

  13. Federal Government Increases Renewable Energy Use Over 1000 Percent...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal Federal Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal...

  14. Household vehicles energy consumption 1994

    SciTech Connect

    1997-08-01

    Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

  15. Strategies for Collecting Household Energy Data | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Collecting Household Energy Data Strategies for Collecting Household Energy Data Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for ...

  16. Household Vehicles Energy Use Cover Page

    Energy Information Administration (EIA) (indexed site)

    Energy Use Cover Page Glossary Home > Households, Buildings & Industry >Transportation Surveys > Household Vehicles Energy Use Cover Page Contact Us * Feedback * PrivacySecurity *...

  17. Shared Solar Projects Powering Households Throughout America...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Shared Solar Projects Powering Households Throughout America Shared Solar Projects Powering Households Throughout America January 31, 2014 - 2:30pm Addthis Shared solar projects ...

  18. Next Generation Household Refrigerator | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Next Generation Household Refrigerator Next Generation Household Refrigerator Embraco's high efficiency, oil-free linear compressor.
    Credit: Whirlpool Embraco's high ...

  19. BC Hydro Brings Energy Savings to Low-Income Families in Canada |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy BC Hydro Brings Energy Savings to Low-Income Families in Canada BC Hydro Brings Energy Savings to Low-Income Families in Canada The number of British Columbia, Canada, households eligible for Better Buildings Residential Network member BC Hydro's Energy Conservation Assistance Program (ECAP) just doubled. British Columbia Energy Minister Bill Bennett recently announced an increase in the low-income qualification cutoff for BC Hydro's free home energy-saving kits and

  20. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    9a. Air Conditioning by Northeast Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.8 Households With Electric Air-Conditioning Equipment ...................... 82.9 14.5 11.3 3.2 3.3 Air Conditioners Not Used ........................... 2.1 0.3 0.3 Q 28.3 Households Using Electric Air-Conditioning 1

  1. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    0a. Air Conditioning by Midwest Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 20.5 13.6 6.8 2.2 Air Conditioners Not Used ........................... 2.1 0.3 Q Q 27.5 Households Using Electric Air-Conditioning 1

  2. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    1a. Air Conditioning by South Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 37.2 19.3 6.4 11.5 1.5 Air Conditioners Not Used ........................... 2.1 0.4 Q Q Q 28.2 Households Using Electric Air-Conditioning 1

  3. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2a. Air Conditioning by West Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.4 1.2 1.7 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 10.7 3.4 7.2 7.1 Air Conditioners Not Used ........................... 2.1 1.1 0.2 0.9 15.5 Households Using Electric Air-Conditioning 1 ........................................ 80.8 9.6 3.2

  4. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.6 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 82.9 58.7 6.5 12.4 5.3 4.9 Air Conditioners Not Used ............ 2.1 1.1 Q 0.6 Q 21.8 Households Using Electric Air-Conditioning 1

  5. Households to pay more than expected to stay warm this winter

    Energy Information Administration (EIA) (indexed site)

    Households to pay more than expected to stay warm this winter Following a colder-than-expected November, U.S. households are forecast to consume more heating fuels than previously expected....resulting in higher heating bills. Homeowners that rely on natural gas will see their total winter expenses rise nearly 13 percent from last winter....while users of electric heat will see a 2.6 percent increase in costs. That's the latest forecast from the U.S. Energy Information Administration. Propane

  6. Household Vehicles Energy Consumption 1991

    Energy Information Administration (EIA) (indexed site)

    16.8 17.4 18.6 18.9 1.7 2.2 0.6 1.5 Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 15 Vehicle Miles Traveled per Vehicle (Thousand) . . . . . . . . ....

  7. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.1 1.2 1.0 Total ............................................... 107.0 9.2 28.6 24.0 21.0 24.1 7.8 Household Size 1 Person ....................................... 28.2 2.5 8.1 6.5

  8. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2a. Household Characteristics by Year of Construction, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.6 1.2 1.0 1.2 1.2 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Household Size 1 Person ....................................... 28.2 2.5 4.5 5.1 4.0 3.7 8.3 7.5 2 Persons

  9. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    5a. Household Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.3 0.4 2.0 2.9 1.3 Total Owner-Occupied Units ....... 72.7 63.2 2.1 1.8 5.7 6.7 Household Size 1 Person ....................................... 15.8 12.5 0.8 0.9 1.6 10.3 2 Persons

  10. Cover Page of Household Vehicles Energy Use: Latest Data & Trends

    Gasoline and Diesel Fuel Update

    Household Vehicles Energy Use Cover Page Cover Page of Household Vehicles Energy Use: Latest Data & Trends...

  11. Alabama Natural Gas Percentage Total Industrial Deliveries (Percent...

    Gasoline and Diesel Fuel Update

    Industrial Deliveries (Percent) Alabama Natural Gas Percentage Total Industrial Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  12. Maine Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update

    % of Total Residential Deliveries (Percent) Maine Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  13. Washington Natural Gas % of Total Residential Deliveries (Percent...

    Annual Energy Outlook

    % of Total Residential Deliveries (Percent) Washington Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  14. Virginia Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update

    % of Total Residential Deliveries (Percent) Virginia Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  15. Kansas Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update

    % of Total Residential Deliveries (Percent) Kansas Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  16. Arizona Natural Gas % of Total Residential Deliveries (Percent...

    Annual Energy Outlook

    % of Total Residential Deliveries (Percent) Arizona Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  17. Waste Isolation Pilot Plant Contractor Receives 86 Percent of...

    Office of Environmental Management (EM)

    Waste Isolation Pilot Plant Contractor Receives 86 Percent of Available Fee Waste Isolation Pilot Plant Contractor Receives 86 Percent of Available Fee April 27, 2016 - 12:20pm ...

  18. Household Vehicles Energy Use: Latest Data and Trends - Table...

    Annual Energy Outlook

    11.5 0.8 1.0 0.9 0.8 0.7 0.8 0.7 1.6 1.4 0.8 0.5 0.2 0.1 0.7 0.4 Income Relative to Poverty Line Below 100 Percent... 13.3 0.3 0.4 0.4 0.6...

  19. Low Income Efficiency

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Materials Meeting 5, November 5, 2015 in Portland, Oregon Agenda BPA Low Income Benchmarking and October 2015 IM Updates Presentation Side by Side Comparison of BPA Measures...

  20. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    6a. Air Conditioning by Type of Rented Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.8 0.5 1.4 1.2 1.6 Households With Electric Air-Conditioning Equipment ........ 23.4 58.7 6.5 12.4 5.3 6.1 Air Conditioners Not Used ............ 0.9 1.1 Q 0.6 Q 23.0 Households Using Electric Air-Conditioning

  1. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.6 1.2 1.1 1.2 1.1 0.9 Households With Electric Air-Conditioning Equipment ........ 82.9 13.6 16.0 14.7 10.4 10.5 17.6 4.7 Air Conditioners Not Used ............ 2.1 Q 0.3 0.5 0.3 0.4 0.5 27.2 Households Using Electric Air-Conditioning 2

  2. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 59.5 58.7 6.5 12.4 5.3 5.2 Air Conditioners Not Used ............ 1.2 1.1 Q 0.6 Q 23.3 Households Using

  3. Resource handbook for low-income residential retrofits

    SciTech Connect

    Callaway, J.W.; Brenchley, D.L.; Davis, L.J.; Ivey, D.L.; Smith, S.A.; Westergard, E.J.

    1987-04-01

    The purpose of the handbook is to provide technical assistance to state grantees participating in the Partnerships in Low-Income Residential Retrofit (PILIRR) Program. PILIRR is a demonstration program aimed at identifying innovative, successful approaches to developing public and private support for weatherization of low-income households. The program reflects the basic concept that responsibility for financial support for conservation activities such as low-income residential retrofitting is likely to gradually shift from the DOE to the states and the private sector. In preparing the handbook, PNL staff surveyed over 50 programs that provide assistance to low-income residents. The survey provided information on factors that contribute to successful programs. PNL also studied the winning PILIRR proposals (from the states of Florida, Iowa, Kentucky, Oklahoma and Washington) and identified the approaches proposed and the type of information that would be most helpful in implementing these approaches.

  4. Federal options for low-income electricity policy

    SciTech Connect

    Baxter, L.W.

    1998-06-01

    Protection of low-income consumers remains an important public policy concern in a restructuring electricity industry. Policies are needed to ensure that low-income households have enough affordable electricity to protect their health and safety, and that they are not victimized by unscrupulous suppliers. In this paper, the author presents three broad federal roles in setting low-income electricity policy, and discuss three more specific policy areas: universal service, electricity assistance, and health and safety. He discusses the key policy issues that arise when considering these potential federal initiatives and draw upon reviews of proposed low-income policies from restructuring proposals in eight states--California, Massachusetts, New Hampshire, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin.

  5. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    0a. Home Office Equipment by Midwest Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Households Using Office Equipment ......................................... 96.2 22.4 15.7 6.7 1.3 Personal Computers 1 ................................. 60.0

  6. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    1a. Home Office Equipment by South Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.6 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Households Using Office Equipment ......................................... 96.2 34.6 18.4 6.0 10.1 1.2 Personal Computers 1

  7. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2a. Home Office Equipment by West Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.6 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Households Using Office Equipment ......................................... 96.2 21.4 6.2 15.2 1.0 Personal Computers 1 ................................. 60.0 14.3 4.0 10.4 3.7 Number of

  8. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    9a. Home Office Equipment by Northeast Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.1 1.4 1.2 Total .............................................................. 107.0 20.3 14.8 5.4 NE Households Using Office Equipment ......................................... 96.2 17.9 12.8 5.0 1.3 Personal Computers 1 ................................. 60.0 10.9

  9. Buildings Energy Data Book: 2.9 Low-Income Housing

    Buildings Energy Data Book

    4 Weatherization Population Facts - Roughly 25% of Federally eligible households move in and out of poverty "classification" each year. - The average income of Federally eligible households in FY 2005 was $16,264, based on RECS and Bureau of the Census' Current Population Survey (CPS) data. - States target the neediest, especially the elderly, persons with disabilities, and families with children. - Since the inception of the Weatherization Assistance Program in 1976, over 6.3 million

  10. ac_household2001.pdf

    Annual Energy Outlook

    RSE Row Factors New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Households With ... RSE Row Factors New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Pays for Electricity ...

  11. char_household2001.pdf

    Annual Energy Outlook

    RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total ... RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Household Owns or ...

  12. Household energy use in urban Venezuela: Implications from surveys in Maracaibo, Valencia, Merida, and Barcelona-Puerto La Cruz

    SciTech Connect

    Figueroa, M.J.; Sathaye, J.

    1993-08-01

    This report identifies the most important results of a comparative analysis of household commercial energy use in Venezuelan urban cities. The use of modern fuels is widespread among all cities. Cooking consumes the largest share of urban household energy use. The survey documents no use of biomass and a negligible use of kerosene for cooking. LPG, natural gas, and kerosene are the main fuels available. LPG is the fuel choice of low-income households in all cities except Maracaibo, where 40% of all households use natural gas. Electricity consumption in Venezuela`s urban households is remarkably high compared with the levels used in households in comparable Latin American countries and in households of industrialized nations which confront harsher climatic conditions and, therefore, use electricity for water and space heating. The penetration of appliances in Venezuela`s urban households is very high. The appliances available on the market are inefficient, and there are inefficient patterns of energy use among the population. Climate conditions and the urban built form all play important roles in determining the high level of energy consumption in Venezuelan urban households. It is important to acknowledge the opportunities for introducing energy efficiency and conservation in Venezuela`s residential sector, particularly given current economic and financial constraints, which may hamper the future provision of energy services.

  13. Federal Government Increases Renewable Energy Use Over 1000 Percent since

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    1999; Exceeds Goal | Department of Energy Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal Federal Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal November 3, 2005 - 12:35pm Addthis WASHINGTON, DC - The Department of Energy (DOE) announced today that the federal government has exceeded its goal of obtaining 2.5 percent of its electricity needs from renewable energy sources by September 30, 2005. The largest energy

  14. Fact #942: September 12, 2016 Fifteen Percent of Survey Respondents

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Consider Fuel Economy Most Important when Purchasing a Vehicle - Dataset | Department of Energy 2: September 12, 2016 Fifteen Percent of Survey Respondents Consider Fuel Economy Most Important when Purchasing a Vehicle - Dataset Fact #942: September 12, 2016 Fifteen Percent of Survey Respondents Consider Fuel Economy Most Important when Purchasing a Vehicle - Dataset Excel file and dataset for Fifteen Percent of Survey Respondents Consider Fuel Economy Most Important when Purchasing a

  15. Dismantlements of Nuclear Weapons Jump 50 Percent | National...

    National Nuclear Security Administration (NNSA)

    Dismantlements of Nuclear Weapons Jump 50 Percent June 07, 2007 WASHINGTON, D.C. -- Meeting President Bush's directive to reduce the country's nuclear arsenal, the Department of ...

  16. Nuclear Weapons Dismantlement Rate Up 146 Percent | National...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Nuclear Weapons Dismantlement Rate Up 146 Percent October 01, 2007 WASHINGTON, D.C. -- The United States significantly increased its rate of dismantled nuclear weapons during ...

  17. Million Cu. Feet Percent of National Total Million Cu. Feet...

    Annual Energy Outlook

    Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: ...

  18. Million Cu. Feet Percent of National Total Million Cu. Feet...

    Annual Energy Outlook

    Feet Percent of National Total Total Net Movements: -1,159,080 - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total ...

  19. Million Cu. Feet Percent of National Total Million Cu. Feet...

    Gasoline and Diesel Fuel Update

    Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: 0 Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: ...

  20. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.4 1.1 1.1 1.2 1.2 1.0 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Households Using Office Equipment .......................... 96.2 14.9 16.7 17.0 12.2 13.0 22.4 4.4 Personal Computers 2

  1. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    a. Air Conditioning by Climate Zone, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 2.1 1.0 0.9 1.5 1.0 Total Households With Air-Conditioning ........................... 82.9 5.4 20.9 20.2 14.2 22.1 8.1 Air Conditioners Not Used ............ 2.1 Q 0.4 0.3 0.8 0.4 23.2

  2. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2a. Appliances by West Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.7 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 22.1 6.6 15.5 1.1 1

  3. Sizing wind/photovoltaic hybrids for households in inner Mongolia

    SciTech Connect

    Barley, C.D.; Lew, D.J.; Flowers, L.T.

    1997-12-31

    Approximately 140,000 wind turbines currently provide electricity to about one-third of the non-grid-connected households in Inner Mongolia. However, these households often suffer from a lack of power during the low-wind summer months. This report describes an analysis of hybrid wind/photovoltaic (PV) systems for such households. The sizing of the major components is based on a subjective trade-off between the cost of the system and the percent unmet load, as determined by the Hybrid2 software in conjunction with a simplified time-series model. Actual resource data (wind speed and solar radiation) from the region are processed so as to best represent the scenarios of interest. Small wind turbines of both Chinese and U.S. manufacture are considered in the designs. The results indicate that combinations of wind and PV are more cost-effective than either one alone, and that the relative amount of PV in the design increases as the acceptable unmet load decreases and as the average wind speed decreases.

  4. " Million U.S. Housing Units" ,,"2005...

    Energy Information Administration (EIA) (indexed site)

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... "Income Relative to Poverty Line" "Below 100 Percent",16.6,15.6,1.1,"...

  5. Characteristics RSE Column Factor: Households with Children Households...

    Energy Information Administration (EIA) (indexed site)

    ... 7.6 2.1 3.3 2.2 11.5 Q Q Q 1.4 6.9 2.8 18.8 Below Poverty Line 100 Percent ... 6.6 1.6 3.6 1.3 5.8 0.3 0.7...

  6. Nevada Natural Gas % of Total Residential Deliveries (Percent...

    Annual Energy Outlook

    Nevada Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 ... Share of Total U.S. Natural Gas Residential Deliveries Nevada Share of Total U.S. Natural ...

  7. Texas Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update

    Texas Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 ... Share of Total U.S. Natural Gas Residential Deliveries Texas Share of Total U.S. Natural ...

  8. Oklahoma Natural Gas % of Total Residential Deliveries (Percent...

    Annual Energy Outlook

    Oklahoma Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 ... Share of Total U.S. Natural Gas Residential Deliveries Oklahoma Share of Total U.S. ...

  9. New York Natural Gas % of Total Residential Deliveries (Percent...

    Annual Energy Outlook

    New York Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 ... Share of Total U.S. Natural Gas Residential Deliveries New York Share of Total U.S. ...

  10. New Mexico Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update

    New Mexico Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 ... Share of Total U.S. Natural Gas Residential Deliveries New Mexico Share of Total U.S. ...

  11. New Jersey Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update

    New Jersey Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 ... Share of Total U.S. Natural Gas Residential Deliveries New Jersey Share of Total U.S. ...

  12. BOSS Measures the Universe to One-Percent Accuracy

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    This and future measures at this precision are the key to determining the nature of dark energy. "One-percent accuracy in the scale of the universe is the most precise such ...

  13. Minnesota Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update

    Minnesota Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 ... Share of Total U.S. Natural Gas Residential Deliveries Minnesota Share of Total U.S. ...

  14. Fact #942: September 12, 2016 Fifteen Percent of Survey Respondents

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Consider Fuel Economy Most Important when Purchasing a Vehicle | Department of Energy 2: September 12, 2016 Fifteen Percent of Survey Respondents Consider Fuel Economy Most Important when Purchasing a Vehicle Fact #942: September 12, 2016 Fifteen Percent of Survey Respondents Consider Fuel Economy Most Important when Purchasing a Vehicle SUBSCRIBE to the Fact of the Week A 2016 survey of the general population asked "Which one of the following attributes would be most important in your

  15. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    0a. Appliances by Midwest Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.5 Total .............................................................. 107.0 24.5 17.1 7.4 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 23.8 16.6 7.2 NE 1

  16. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    1a. Appliances by South Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.1 1.4 1.5 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 36.2 19.4 6.4 10.3 1.5 1

  17. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.5 1.7 1.6 1.9 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 69.1 9.4 16.7 6.6 4.3 1

  18. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.3 0.4 2.1 3.1 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Kitchen Appliances Cooking Appliances Oven ...........................................

  19. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    6a. Appliances by Type of Rented Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Kitchen Appliances Cooking Appliances Oven ........................................... 33.4 10.1 7.3 14.9 1.1

  20. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    8a. Appliances by Urban/Rural Location, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.9 1.4 1.2 1.3 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.1 Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 47.5 17.5 19.9 16.8 4.2 1

  1. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    9a. Appliances by Northeast Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.3 1.6 Total .............................................................. 107.0 20.3 14.8 5.4 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 19.6 14.5 5.2 1.1 1

  2. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2a. Space Heating by West Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.6 1.0 1.6 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Heat Home .................................................... 106.0 22.6 6.7 15.9 NE Do Not Heat Home ....................................... 1.0 0.7 Q 0.7 10.6 No Heating Equipment

  3. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    5a. Space Heating by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.4 1.9 3.0 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Heat Home ..................................... 72.4 63.0 2.0 1.7 5.7 6.7 Do Not Heat Home

  4. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    6a. Space Heating by Type of Rented Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Heat Home ..................................... 33.7 10.4 7.4 14.8 1.1 6.9 Do Not Heat Home

  5. EPA Webinar- Solar for All: Making it Happen in Low-Income Communities

    Energy.gov [DOE]

    Hosted by the U.S. Environmental Protection Agency (EPA), this webinar is the third in a multi-part series highlighting efforts by state and local agencies, nonprofits, and utilities to bring energy efficiency and renewable energy to low-income households.

  6. Comparison of energy expenditures by elderly and non-elderly households: 1975 and 1985

    SciTech Connect

    Siler, A.

    1980-05-01

    The relative position of the elderly in the population is examined and their characteristic use of energy in relation to the total population and their non-elderly counterparts is observed. The 1985 projections are based on demographic, economic, and socio-economic, and energy data assumptions contained in the 1978 Annual Report to Congress. The model used for estimating household energy expenditure is MATH/CHRDS - Micro-Analysis of Transfers to Households/Comprehensive Human Resources Data System. Characteristics used include households disposable income, poverty status, location by DOE region and Standard Metropolitan Statistical Area (SMSA), and race and sex of the household head as well as age. Energy use by fuel type will be identified for total home fuels, including electricity, natural gas, bottled gas and fuel oil, and for all fuels, where gasoline use is also included. Throughout the analysis, both income and expenditure-dollar amounts for 1975 and 1985 are expressed in constant 1978 dollars. Two appendices contain statistical information.

  7. Strategies for Collecting Household Energy Data

    Energy.gov [DOE]

    Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for Collecting Household Energy Data, Call Slides and Discussion Summary, July 19, 2012.

  8. Household energy consumption and expenditures, 1990

    SciTech Connect

    Not Available

    1993-03-02

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide.

  9. BOSS Measures the Universe to One-Percent Accuracy

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    BOSS Measures the Universe to One-Percent Accuracy BOSS Measures the Universe to One-Percent Accuracy The Baryon Oscillation Spectroscopic Survey makes the most precise calibration yet of the universe's "standard ruler" January 8, 2014 Contact: Paul Preuss, Paul_Preuss@lbl.gov , +1 415-272-3253 BOSS-BAOv1.jpg Baryon acoustic oscillations (gray spheres), which descend from waves of increased density in the very early universe, are where galaxies have a tendency to cluster or align -- an

  10. PERCENT FEDERAL LAND FOR OIL/GAS FIELD OUTLINES

    Energy Information Administration (EIA) (indexed site)

    PERCENT FEDERAL LAND FOR OIL/GAS FIELD OUTLINES The VBA code below calculates the area percent of a first polygon layer (e.g. oil/gas field outlines) that are within a second polygon layer (e.g. federal land) and writes out the fraction as an attribute for the first polygon layer. If you make buffered well field outline polygons using the VBA code in BUFFERED_WELL_FIELD_OUTLINES.doc, you will have a feature class with the attribute PCTFEDLAND to use as the first polygon layer. If not, add the

  11. Los Alamos reduces water use by 26 percent in 2014

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Los Alamos reduces water use Los Alamos reduces water use by 26 percent in 2014 The Lab decreased its water usage by 26 percent, with about one-third of the reduction attributable to using reclaimed water to cool a supercomputing center. March 16, 2015 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and

  12. U.S. Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    Deliveries (Percent) U.S. Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100 100 100 100 100 100 100 2000's 100 100 100 100 100 100 100 100 100 100 2010's 100 100 100 100 100 100 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Share of Total U.S. Natural Gas

  13. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    a. Appliances by Climate Zone, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.1 1.2 1.1 Total .................................................. 107.0 9.2 28.6 24.0 21.0 24.1 7.8 Kitchen Appliances Cooking Appliances Oven

  14. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2a. Appliances by Year of Construction, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.5 1.2 1.1 1.2 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 14.3 17.2 17.8 12.9 13.7 25.9 4.2 1

  15. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2a. Space Heating by Year of Construction, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.5 1.5 1.1 1.1 1.1 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.3 Heat Home ..................................... 106.0 15.4 18.2 18.6 13.6 13.9 26.4 4.3 Do Not Heat Home ........................

  16. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    4a. Space Heating by Type of Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.7 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.4 Heat Home ..................................... 106.0 73.4 9.4 16.4 6.8 4.5 Do Not Heat Home ........................ 1.0 0.3 Q 0.6 Q 19.0 No

  17. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,2.9,0.8,0... the number of households below the poverty line, the annual household income and ...

  18. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,3.7,2.9,0... the number of households below the poverty line, the annual household income and ...

  19. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,6.7,10.1,... the number of households below the poverty line, the annual household income and ...

  20. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,7.2,3.4,0... the number of households below the poverty line, the annual household income and ...

  1. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,5,3.9,2.9... the number of households below the poverty line, the annual household income and ...

  2. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,3.1,0.9,0... the number of households below the poverty line, the annual household income and ...

  3. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line3" "Below 100 Percent",16.9,5.4,5.6,2... the number of households below the poverty line, the annual household income and ...

  4. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,6.9,0.9,2... the number of households below the poverty line, the annual household income and ...

  5. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,2.4,1,2.1... the number of households below the poverty line, the annual household income and ...

  6. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    SciTech Connect

    Kramer, Klaas Jan; Homan, Greg; Brown, Rich; Worrell, Ernst; Masanet, Eric

    2009-04-15

    The term ?household carbon footprint? refers to the total annual carbon emissions associated with household consumption of energy, goods, and services. In this project, Lawrence Berkeley National Laboratory developed a carbon footprint modeling framework that characterizes the key underlying technologies and processes that contribute to household carbon footprints in California and the United States. The approach breaks down the carbon footprint by 35 different household fuel end uses and 32 different supply chain fuel end uses. This level of end use detail allows energy and policy analysts to better understand the underlying technologies and processes contributing to the carbon footprint of California households. The modeling framework was applied to estimate the annual home energy and supply chain carbon footprints of a prototypical California household. A preliminary assessment of parameter uncertainty associated with key model input data was also conducted. To illustrate the policy-relevance of this modeling framework, a case study was conducted that analyzed the achievable carbon footprint reductions associated with the adoption of energy efficient household and supply chain technologies.

  7. Energy Information Administration/Household Vehicles Energy Consumptio...

    Energy Information Administration (EIA) (indexed site)

    , Energy Information AdministrationHousehold Vehicles Energy Consumption 1994 ix Household Vehicles Energy Consumption 1994 presents statistics about energy-related...

  8. Kingston Creek Hydro Project Powers 100 Households | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Kingston Creek Hydro Project Powers 100 Households Kingston Creek Hydro Project Powers 100 Households August 21, 2013 - 12:00am Addthis Nevada-based contracting firm Nevada ...

  9. Household Response To Dynamic Pricing Of Electricity: A Survey...

    OpenEI (Open Energy Information) [EERE & EIA]

    Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic...

  10. Louisiana Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Louisiana Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1.14 1.09 1.09 1.08 1.06 1.05 0.95 2000's 1.00 1.03 1.01 0.93 0.88 0.85 0.77 0.79 0.76 0.76 2010's 0.95 0.84 0.77 0.79 0.88 0.78 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  11. Maryland Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Maryland Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1.55 1.58 1.58 1.63 1.56 1.51 1.58 2000's 1.68 1.48 1.64 1.79 1.77 1.78 1.63 1.77 1.66 1.73 2010's 1.75 1.65 1.70 1.70 1.78 1.80 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  12. Massachusetts Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Massachusetts Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.45 2.47 2.18 2.18 2.25 2.26 2.24 2000's 2.28 2.24 2.24 2.48 2.32 2.46 2.38 2.44 2.71 2.78 2010's 2.63 2.74 2.78 2.39 2.49 2.75 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  13. Michigan Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Michigan Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 7.46 7.52 7.84 7.62 7.62 7.07 7.42 2000's 7.36 7.20 7.52 7.59 7.44 7.43 7.23 6.95 6.99 6.84 2010's 6.36 6.75 6.67 6.82 6.97 6.77 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  14. Mississippi Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Mississippi Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.57 0.56 0.56 0.58 0.55 0.55 0.52 2000's 0.54 0.59 0.54 0.52 0.50 0.51 0.49 0.47 0.49 0.49 2010's 0.57 0.52 0.47 0.51 0.56 0.50 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  15. Missouri Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Missouri Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.71 2.53 2.58 2.62 2.56 2.45 2.37 2000's 2.31 2.44 2.34 2.26 2.25 2.21 2.18 2.15 2.33 2.22 2010's 2.25 2.18 2.00 2.17 2.27 2.07 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  16. Montana Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Montana Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.41 0.39 0.41 0.42 0.42 0.42 0.42 2000's 0.40 0.42 0.44 0.40 0.41 0.41 0.45 0.42 0.44 0.46 2010's 0.44 0.46 0.46 0.42 0.42 0.41 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  17. Nebraska Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Nebraska Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.97 0.92 0.93 0.94 0.95 0.90 0.86 2000's 0.85 0.98 0.90 0.83 0.79 0.79 0.82 0.82 0.87 0.84 2010's 0.84 0.84 0.75 0.84 0.83 0.75 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  18. Alabama Natural Gas % of Total Electric Utility Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    Electric Utility Deliveries (Percent) Alabama Natural Gas % of Total Electric Utility Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.17 0.13 0.23 0.23 0.29 0.60 0.53 2000's 0.81 1.29 1.98 1.68 2.14 1.79 2.34 2.57 2.46 3.30 2010's 3.81 4.53 4.40 4.08 4.25 4.12 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  19. Alabama Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    Residential Deliveries (Percent) Alabama Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1.04 1.03 1.02 1.08 0.97 1.03 0.90 2000's 0.95 1.03 0.95 0.92 0.90 0.87 0.87 0.75 0.77 0.75 2010's 0.88 0.78 0.66 0.72 0.77 0.71 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring

  20. Alabama Natural Gas % of Total Vehicle Fuel Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    Vehicle Fuel Deliveries (Percent) Alabama Natural Gas % of Total Vehicle Fuel Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.44 0.20 0.15 0.08 0.71 0.57 0.57 2000's 0.57 0.52 0.52 0.52 0.52 0.67 0.47 0.36 0.32 0.29 2010's 0.37 0.64 0.64 0.63 1.07 1.07 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring

  1. Alabama Natural Gas Percentage Total Commercial Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    Commercial Deliveries (Percent) Alabama Natural Gas Percentage Total Commercial Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.90 0.88 0.87 0.92 1.01 0.86 0.91 2000's 0.80 0.87 0.80 0.80 0.85 0.84 0.86 0.78 0.80 0.78 2010's 0.87 0.80 0.74 0.77 0.79 0.78 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  2. Alaska Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Alaska Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.28 0.31 0.31 0.31 0.30 0.35 0.37 2000's 0.32 0.35 0.33 0.33 0.37 0.37 0.47 0.42 0.44 0.42 2010's 0.39 0.43 0.52 0.39 0.35 0.40 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  3. Arkansas Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Arkansas Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.92 0.86 0.85 0.88 0.85 0.85 0.77 2000's 0.85 0.78 0.80 0.75 0.71 0.70 0.72 0.69 0.73 0.70 2010's 0.76 0.72 0.63 0.71 0.75 0.72 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  4. California Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) California Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 10.11 10.75 9.85 9.03 9.61 12.17 12.03 2000's 10.34 10.75 10.45 9.80 10.52 10.02 11.26 10.43 10.00 10.06 2010's 10.35 10.87 11.52 9.84 7.81 8.70 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next

  5. Colorado Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Colorado Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.14 2.05 2.15 2.12 2.32 2.45 2.37 2000's 2.33 2.59 2.64 2.45 2.48 2.57 2.73 2.77 2.74 2.70 2010's 2.74 2.76 2.79 2.76 2.60 2.66 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  6. Wyoming Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Wyoming Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.26 0.24 0.25 0.26 0.26 0.28 0.26 2000's 0.24 0.23 0.27 0.24 0.25 0.24 0.27 0.26 0.27 0.26 2010's 0.27 0.28 0.28 0.28 0.26 0.25 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  7. North Dakota Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) North Dakota Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.22 0.22 0.23 0.24 0.23 0.22 0.22 2000's 0.22 0.22 0.24 0.23 0.23 0.22 0.22 0.23 0.24 0.24 2010's 0.22 0.23 0.23 0.25 0.25 0.23 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  8. Ohio Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Ohio Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 7.14 7.08 7.38 7.15 7.11 6.56 6.73 2000's 6.88 6.47 6.57 6.75 6.59 6.69 6.23 6.34 6.27 6.12 2010's 5.93 6.07 6.05 6.07 6.30 6.19 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  9. Oregon Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Oregon Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.60 0.60 0.58 0.63 0.65 0.76 0.82 2000's 0.78 0.80 0.79 0.73 0.79 0.82 0.94 0.91 0.92 0.94 2010's 0.85 0.99 1.04 0.94 0.81 0.81 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  10. Pennsylvania Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Pennsylvania Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 5.43 5.54 5.40 5.32 5.27 4.82 5.11 2000's 5.26 5.01 4.89 5.22 5.09 5.08 4.71 4.90 4.69 4.76 2010's 4.68 4.66 4.76 4.73 5.01 5.11 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  11. Rhode Island Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Rhode Island Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.40 0.36 0.36 0.36 0.36 0.36 0.35 2000's 0.37 0.38 0.36 0.40 0.40 0.40 0.39 0.37 0.36 0.37 2010's 0.35 0.36 0.38 0.37 0.39 0.44 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  12. South Carolina Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) South Carolina Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.49 0.48 0.52 0.56 0.52 0.56 0.54 2000's 0.58 0.58 0.56 0.57 0.60 0.59 0.57 0.53 0.55 0.57 2010's 0.68 0.57 0.55 0.58 0.63 0.60 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  13. South Dakota Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) South Dakota Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.25 0.25 0.26 0.27 0.27 0.26 0.25 2000's 0.25 0.26 0.26 0.26 0.25 0.25 0.26 0.26 0.28 0.28 2010's 0.27 0.27 0.26 0.28 0.28 0.26 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  14. Tennessee Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Tennessee Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1.19 1.18 1.24 1.34 1.29 1.31 1.28 2000's 1.37 1.43 1.42 1.37 1.34 1.37 1.40 1.29 1.41 1.38 2010's 1.55 1.43 1.30 1.45 1.54 1.46 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  15. Utah Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Utah Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1.05 1.01 1.01 1.04 1.17 1.26 1.17 2000's 1.11 1.15 1.21 1.08 1.24 1.20 1.37 1.28 1.35 1.36 2010's 1.38 1.49 1.44 1.44 1.23 1.27 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  16. Vermont Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Vermont Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.05 0.05 0.05 0.05 0.05 0.05 0.05 2000's 0.06 0.06 0.06 0.06 0.06 0.06 0.07 0.07 0.06 0.07 2010's 0.06 0.07 0.07 0.07 0.08 0.08 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  17. West Virginia Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) West Virginia Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.71 0.73 0.73 0.71 0.72 0.66 0.67 2000's 0.63 0.67 0.63 0.63 0.62 0.62 0.60 0.56 0.56 0.55 2010's 0.57 0.53 0.54 0.54 0.56 0.54 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  18. Wisconsin Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Wisconsin Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.63 2.64 2.80 2.82 2.73 2.57 2.70 2000's 2.70 2.63 2.81 2.80 2.78 2.72 2.76 2.78 2.87 2.79 2010's 2.58 2.75 2.71 2.92 2.96 2.75 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  19. Connecticut Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Connecticut Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.85 0.86 0.84 0.84 0.81 0.78 0.81 2000's 0.83 0.86 0.82 0.90 0.91 0.92 0.89 0.92 0.88 0.92 2010's 0.89 0.95 0.99 0.96 1.01 1.11 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  20. Delaware Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Delaware Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.17 0.18 0.18 0.19 0.18 0.17 0.19 2000's 0.19 0.19 0.20 0.21 0.21 0.21 0.21 0.21 0.20 0.21 2010's 0.21 0.21 0.21 0.21 0.22 0.24 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  1. Florida Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Florida Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.28 0.29 0.30 0.31 0.26 0.31 0.29 2000's 0.30 0.33 0.31 0.31 0.33 0.33 0.36 0.32 0.32 0.32 2010's 0.39 0.35 0.35 0.31 0.33 0.33 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  2. Georgia Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Georgia Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.33 2.18 2.36 2.42 2.30 2.38 2.09 2000's 2.82 2.51 2.59 2.56 2.60 2.58 2.52 2.37 2.44 2.48 2010's 2.90 2.40 2.35 2.48 2.64 2.56 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  3. Hawaii Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Hawaii Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.01 0.01 0.01 0.01 0.01 0.01 0.01 2000's 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 2010's 0.01 0.01 0.01 0.01 0.01 0.01 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  4. Idaho Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Idaho Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.25 0.25 0.27 0.29 0.31 0.35 0.38 2000's 0.38 0.40 0.42 0.37 0.42 0.45 0.51 0.50 0.56 0.53 2010's 0.50 0.57 0.58 0.56 0.48 0.51 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  5. Illinois Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Illinois Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 9.99 9.77 10.33 10.28 9.98 9.07 9.42 2000's 9.35 8.95 9.40 9.32 9.11 9.07 9.12 9.17 9.52 9.21 2010's 8.71 8.87 8.70 9.24 9.42 8.70 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  6. Indiana Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Indiana Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 3.31 3.25 3.32 3.43 3.39 3.10 3.21 2000's 3.23 3.09 3.21 3.10 3.05 3.08 2.92 3.02 3.12 2.92 2010's 2.89 2.80 2.78 2.95 3.08 2.89 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  7. Iowa Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Iowa Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1.68 1.61 1.70 1.68 1.64 1.52 1.51 2000's 1.48 1.49 1.46 1.46 1.40 1.39 1.42 1.43 1.54 1.47 2010's 1.43 1.42 1.35 1.48 1.51 1.36 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  8. Kentucky Natural Gas % of Total Residential Deliveries (Percent)

    Energy Information Administration (EIA) (indexed site)

    % of Total Residential Deliveries (Percent) Kentucky Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1.35 1.29 1.36 1.34 1.33 1.23 1.25 2000's 1.29 1.19 1.21 1.22 1.16 1.16 1.08 1.09 1.12 1.08 2010's 1.14 1.08 1.04 1.11 1.13 1.07 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  9. Microsoft Word - Household Energy Use CA

    Energy Information Administration (EIA) (indexed site)

    0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household  California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site

  10. Household energy consumption and expenditures 1993

    SciTech Connect

    1995-10-05

    This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential Energy Consumption Survey; more than 7,000 households were surveyed for information on their housing units, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energy consumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energy consumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

  11. Percent of Commercial Natural Gas Deliveries in California Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 86.6 77.8 74.5 76.9 48.8 52.1 54.9 50.4 48.7 57.1 2000's 57.1 62.6 68.6 70.3 71.2 68.7 64.7 60.7 56.7 54.9 2010's 54.1 54.3 50.0 49.9 48.4 50.0

  12. Percent of Commercial Natural Gas Deliveries in District of Columbia

    Energy Information Administration (EIA) (indexed site)

    Represented by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 97.3 99.0 98.0 90.9 76.8 70.5 54.9 52.3 45.9 2000's 35.6 22.4 23.5 30.5 23.3 100.0 100.0 100.0 100.0 100.0 2010's 100.0 16.9 17.9 19.1 19.9 21.4

  13. Percent of Commercial Natural Gas Deliveries in Louisiana Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 99.1 87.5 98.1 97.9 98.1 98.3 95.9 94.6 93.8 2000's 96.3 96.5 99.0 98.8 98.6 98.6 98.4 98.0 98.4 92.0 2010's 85.9 83.6 78.0 77.7 78.9 79.1

  14. Percent of Commercial Natural Gas Deliveries in Mississippi Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.6 95.9 96.4 96.6 96.6 97.0 97.4 94.8 94.8 96.0 2000's 95.6 95.7 96.7 95.9 95.7 95.7 94.9 88.8 90.4 91.0 2010's 90.6 89.8 89.0 89.1 87.5 NA

  15. Percent of Commercial Natural Gas Deliveries in Pennsylvania Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 78.4 77.3 75.8 77.4 74.4 68.4 70.4 63.6 56.8 56.9 2000's 60.5 63.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's 100.0 48.5 42.1 40.2 41.4 NA

  16. Percent of Commercial Natural Gas Deliveries in South Carolina Represented

    Energy Information Administration (EIA) (indexed site)

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.8 98.2 98.6 99.2 98.5 96.4 99.0 98.8 97.9 97.1 2000's 98.7 97.5 98.5 96.6 96.4 96.2 95.0 94.9 94.9 93.5 2010's 92.7 91.1 90.6 91.7 92.8 91.3

  17. Percent of Commercial Natural Gas Deliveries in Tennessee Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.5 95.7 96.4 95.8 94.1 93.8 94.3 92.2 87.3 88.8 2000's 92.5 93.6 90.9 90.5 92.2 92.2 92.0 91.9 91.7 90.2 2010's 90.8 89.9 88.8 90.0 90.7 88.6

  18. Percent of Commercial Natural Gas Deliveries in Washington Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 93.6 92.2 87.3 93.9 95.4 91.8 85.9 84.1 86.8 89.3 2000's 92.7 94.0 89.8 88.0 88.5 88.8 88.9 89.2 89.0 88.7 2010's 87.8 88.4 87.4 86.8 86.0 85.4

  19. Percent of Commercial Natural Gas Deliveries in West Virginia Represented

    Energy Information Administration (EIA) (indexed site)

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 58.1 54.9 56.9 54.3 55.2 51.6 56.3 54.5 49.5 51.8 2000's 56.6 63.9 57.4 60.2 57.1 58.2 56.0 58.6 53.5 53.6 2010's 51.0 49.2 48.9 52.9 56.7 53.3

  20. Percent of Commercial Natural Gas Deliveries in Wisconsin Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 90.7 91.0 91.3 94.4 93.5 92.0 91.6 82.1 74.0 79.0 2000's 78.1 77.2 75.9 79.1 79.7 79.0 76.0 75.5 76.8 76.8 2010's 76.2 76.4 74.4 77.7 77.0 NA

  1. Percent of Industrial Natural Gas Deliveries in Louisiana Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 10.1 9.2 8.5 2000's 10.8 8.3 13.4 13.4 21.6 27.9 28.4 25.9 21.4 18.3 2010's 16.7 13.7 14.7 14.2 11.9 2.0

  2. Percent of Industrial Natural Gas Deliveries in Mississippi Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 39.6 37.6 26.3 2000's 26.9 28.8 25.9 33.7 34.4 25.2 20.0 15.0 12.2 10.1 2010's 9.6 9.7 9.6 10.6 9.9

  3. Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 14.3 13.1 11.8 2000's 11.8 9.9 7.3 6.6 6.4 7.0 5.5 5.4 5.7 4.5 2010's 3.8 2.0 1.3 1.3 1.2 1.0

  4. Percent of Industrial Natural Gas Deliveries in South Carolina Represented

    Energy Information Administration (EIA) (indexed site)

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 86.9 86.7 86.1 2000's 86.5 82.1 87.7 78.5 77.8 77.4 71.4 47.3 47.3 47.6 2010's 46.3 45.4 45.1 45.6 43.6 42.1

  5. Percent of Industrial Natural Gas Deliveries in Tennessee Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 38.3 33.1 34.7 2000's 38.5 36.2 36.0 39.9 40.5 42.4 38.9 38.2 39.9 38.2 2010's 35.7 29.7 29.4 29.7 30.0 29.6

  6. Percent of Industrial Natural Gas Deliveries in Washington Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 23.5 20.1 24.0 2000's 34.5 38.2 27.4 20.1 17.3 15.8 20.2 17.4 12.9 8.7 2010's 8.3 7.5 7.3 6.7 6.5 6.2

  7. Percent of Industrial Natural Gas Deliveries in West Virginia Represented

    Energy Information Administration (EIA) (indexed site)

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 12.2 6.3 10.8 2000's 13.8 16.6 12.7 14.0 13.4 17.0 17.0 16.2 19.0 17.4 2010's 14.7 15.6 16.3 18.0 15.6 NA

  8. Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 27.1 22.0 20.2 2000's 22.1 19.5 21.4 20.2 18.8 18.1 18.3 18.5 18.3 18.1 2010's 17.4 17.8 17.6 18.8 19.6 NA

  9. A Multi Agent-Based Framework for Simulating Household PHEV Distribution and Electric Distribution Network Impact

    SciTech Connect

    Cui, Xiaohui; Liu, Cheng; Kim, Hoe Kyoung; Kao, Shih-Chieh; Tuttle, Mark A; Bhaduri, Budhendra L

    2011-01-01

    The variation of household attributes such as income, travel distance, age, household member, and education for different residential areas may generate different market penetration rates for plug-in hybrid electric vehicle (PHEV). Residential areas with higher PHEV ownership could increase peak electric demand locally and require utilities to upgrade the electric distribution infrastructure even though the capacity of the regional power grid is under-utilized. Estimating the future PHEV ownership distribution at the residential household level can help us understand the impact of PHEV fleet on power line congestion, transformer overload and other unforeseen problems at the local residential distribution network level. It can also help utilities manage the timing of recharging demand to maximize load factors and utilization of existing distribution resources. This paper presents a multi agent-based simulation framework for 1) modeling spatial distribution of PHEV ownership at local residential household level, 2) discovering PHEV hot zones where PHEV ownership may quickly increase in the near future, and 3) estimating the impacts of the increasing PHEV ownership on the local electric distribution network with different charging strategies. In this paper, we use Knox County, TN as a case study to show the simulation results of the agent-based model (ABM) framework. However, the framework can be easily applied to other local areas in the US.

  10. Material World: Forecasting Household Appliance Ownership in a Growing Global Economy

    SciTech Connect

    Letschert, Virginie; McNeil, Michael A.

    2009-03-23

    Over the past years the Lawrence Berkeley National Laboratory (LBNL) has developed an econometric model that predicts appliance ownership at the household level based on macroeconomic variables such as household income (corrected for purchase power parity), electrification, urbanization and climate variables. Hundreds of data points from around the world were collected in order to understand trends in acquisition of new appliances by households, especially in developing countries. The appliances covered by this model are refrigerators, lighting fixtures, air conditioners, washing machines and televisions. The approach followed allows the modeler to construct a bottom-up analysis based at the end use and the household level. It captures the appliance uptake and the saturation effect which will affect the energy demand growth in the residential sector. With this approach, the modeler can also account for stock changes in technology and efficiency as a function of time. This serves two important functions with regard to evaluation of the impact of energy efficiency policies. First, it provides insight into which end uses will be responsible for the largest share of demand growth, and therefore should be policy priorities. Second, it provides a characterization of the rate at which policies affecting new equipment penetrate the appliance stock. Over the past 3 years, this method has been used to support the development of energy demand forecasts at the country, region or global level.

  11. WPN 00-3- 2000 Poverty Income Guidelines and Definition of Income

    Energy.gov [DOE]

    To provide states with the 2000 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  12. WPN 14-3: 2014 Poverty Income Guidance and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide Grantees with the 2014 Poverty Income Guidelines and Definition of Income for use in the Low-Income Weatherization Assistance Program (WAP).

  13. WPN 03-3: 2003 Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide states with the 2003 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  14. WPN 06-5: Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide states with the 2006 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  15. WPN 07-3: Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide states with the 2007 poverty income guidelines and definition of income for use in the low-income Weatherization Assistance Program.

  16. WPN 13-3: 2013 Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide states with the 2013 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program (WAP).

  17. WPN 98-5- 1998 Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide states with the 1998 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  18. WPN 04-5: 2004 Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide states with the 2004 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  19. WPN 02-3: 2002 Poverty Income Guidelines and Definition of Income

    Energy.gov [DOE]

    To provide states with the 2002 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  20. Low-income energy assistance programs: a profile of need and policy options

    SciTech Connect

    None

    1980-07-01

    This second report of the Fuel Oil Marketing Advisory Committee (FOMAC) of DOE is twofold: to update information on the energy needs of low-income persons and governmental response to such needs; and to emphasize the need for energy-conservation programs that may alleviate the enormous financial burden placed on low-income people by rising energy prices. FOMAC has continued to develop further and refine its initial energy-conservation recommendations. Mainly, the updated assessment document finds that the poor will expend at least 35% of their income directly on energy and will spend at least 21% of their income on household energy. Other economic impacts of rising energy costs on low-income groups are summarized. Appropriations and stipulations by Congress to aid the lo-income people are reviewed. After careful review of various program designs, FOMAC continues to support the income indexing/vendor line of credit approach. This design provides assistance to elgible households based on: energy needed, cost of fuel, and percentage of income. The cost of implementing the FOMAC design nationally would, according to estimates, range from $3.5 to $4.6 billion for the 1980-1981 winter heating season. A figure of $1.6 to $2.2 billion is being discussed in the Congress. Meeting the ongoing energy needs of the poor will require a coherent national policy which consists of aid in paying energy bills and aid in the poor's effort to conserve energy. The report seeks to promote such policies. Needs assessment, government response, FOMAC model, comments on the programs, projected cost of 1980-1981 Energy Assistance Program, need for conservation programs, and program financing are discussed.

  1. The impact of forecasted energy price increases on low-income consumers

    SciTech Connect

    Eisenberg, Joel F.

    2005-10-31

    The Department of Energy’s Energy Information Administration (EIA) recently released its short term forecast for residential energy prices for the winter of 2005-2006. The forecast indicates significant increases in fuel costs, particularly for natural gas, propane, and home heating oil, for the year ahead. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation’s low-income households by primary heating fuel type, nationally and by Census Region. The statistics are intended for the use of policymakers in the Department of Energy’s Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2006 fiscal year.

  2. S:\VM3\RX97\TBL_LIST.WPD

    Energy Information Administration (EIA) (indexed site)

    Space Heating Tables (Percent of U.S. Households; 24 pages, 85 kb) Contents Pages HC3-1b. Space Heating by Climate Zone, Percent of U.S. Households, 1997 2 HC3-2b. Space Heating by Year of Construction, Percent of U.S. Households, 1997 2 HC3-3b. Space Heating by Household Income, Percent of U.S. Households, 1997 2 HC3-4b. Space Heating by Type of Housing Unit, Percent of U.S. Households, 1997 2 HC3-5b. Space Heating by Type of Owner-Occupied Housing Unit, Percent of U.S. Households, 1997 2

  3. Characterization of household hazardous waste from Marin County, California, and New Orleans, Louisiana

    SciTech Connect

    Rathje, W.L.; Wilson, D.C.; Lambou, V.W.; Herndon, R.C.

    1987-09-01

    There is a growing concern that certain constituents of common household products, that are discarded in residential garbage, may be potentially harmful to human health and the environment by adversely affecting the quality of ground and surface water. A survey of hazardous wastes in residential garbage from Marin County, California, and New Orleans, Louisiana, was conducted in order to determine the amount and characteristics of such wastes that are entering municipal landfills. The results of the survey indicate that approximately 642 metric tons of hazardous waste are discarded per year for the New Orleans study area and approximately 259 metric tons are discarded per year for the Marin County study area. Even though the percent of hazardous household waste in the garbage discarded in both study areas was less than 1%, it represents a significant quantity of hazardous waste because of the large volume of garbage involved.

  4. Area Community Services Employment and Training Council … Weatherizat...

    Energy Saver

    ... income or 200 percent of the current poverty income guideline. However, the applicant's household income of 47,918 exceeded the poverty guideline by 3,818 and the State of ...

  5. Mitigating Carbon Emissions: the Potential of Improving Efficiencyof Household Appliances in China

    SciTech Connect

    Lin, Jiang

    2006-07-10

    China is already the second's largest energy consumer in the world after the United States, and its demand for energy is expected to continue to grow rapidly in the foreseeable future, due to its fast economic growth and its low level of energy use per capita. From 2001 to 2005, the growth rate of energy consumption in China has exceeded the growth rate of its economy (NBS, 2006), raising serious concerns about the consequences of such energy use on local environment and global climate. It is widely expected that China is likely to overtake the US in energy consumption and greenhouse gas (GHG) emissions during the first half of the 21st century. Therefore, there is considerable interest in the international community in searching for options that may help China slow down its growth in energy consumption and GHG emissions through improving energy efficiency and adopting more environmentally friendly fuel supplies such as renewable energy. This study examines the energy saving potential of three major residential energy end uses: household refrigeration, air-conditioning, and water heating. China is already the largest consumer market in the world for household appliances, and increasingly the global production base for consumer appliances. Sales of household refrigerators, room air-conditioners, and water heaters are growing rapidly due to rising incomes and booming housing market. At the same time, the energy use of Chinese appliances is relatively inefficient compared to similar products in the developed economies. Therefore, the potential for energy savings through improving appliance efficiency is substantial. This study focuses particularly on the impact of more stringent energy efficiency standards for household appliances, given that such policies are found to be very effective in improving the efficiency of household appliances, and are well established both in China and around world (CLASP, 2006).

  6. Table B28. Percent of Floorspace Heated, Number of Buildings and Floorspace, 199

    Energy Information Administration (EIA) (indexed site)

    8. Percent of Floorspace Heated, Number of Buildings and Floorspace, 1999" ,"Number of Buildings (thousand)",,,,,"Total Floorspace (million square feet)" ,"All Buildings","Not Heated","1 to 50 Percent Heated","51 to 99 Percent Heated","100 Percent Heated","All Buildings","Not Heated","1 to 50 Percent Heated","51 to 99 Percent Heated","100 Percent Heated" "All

  7. Percent of Commercial Natural Gas Deliveries in Connecticut Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 98.4 90.0 81.6 76.5 74.5 80.4 74.8 85.5 90.8 99.5 1990 100.0 100.0 98.7 95.9 92.3 89.9 87.5 86.9 87.2 91.3 98.3 99.1 1991 99.4 99.4 97.5 92.5 85.9 79.2 76.2 77.1 77.9 85.9 93.0 96.6 1992 97.7 97.2 95.6 94.4 93.6 87.2 95.8 98.8 98.7 97.8 98.2 98.4 1993 97.2 97.7 97.2 98.1 99.4 99.3 88.3 98.4 99.6 100.0 100.0 100.0 1994 89.2 90.7 88.4 88.8 74.2 67.8 62.4 61.1 57.4 68.8 77.9 83.4 1995 86.7 88.1 85.7 81.6

  8. Percent of Commercial Natural Gas Deliveries in District of Columbia

    Energy Information Administration (EIA) (indexed site)

    Represented by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 92.4 86.7 89.4 90.6 91.1 95.7 99.5 1992 99.6 100.0 100.0 97.4 97.6 100.0 91.4 99.5 99.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 99.8 96.8 88.4 90.1 92.6 95.9 97.1 1994 99.8 99.8 100.0 98.8 95.7 94.4 76.6

  9. Percent of Commercial Natural Gas Deliveries in Louisiana Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 98.5 98.6 98.4 98.5 98.4 97.4 97.6 1992 82.3 87.7 88.7 90.6 90.5 90.1 90.6 90.2 91.1 90.6 81.4 86.4 1993 97.4 97.9 98.1 98.6 98.9 98.9 98.8 98.8 98.8 98.2 97.1 97.5 1994 97.7 98.1 98.1 98.0 98.0 97.9 98.4 97.6 98.1 97.9 97.9 97.5 1995 97.8 98.2

  10. Percent of Commercial Natural Gas Deliveries in Massachusetts Represented

    Energy Information Administration (EIA) (indexed site)

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 99.8 99.8 99.8 99.7 99.7 1991 99.8 99.8 99.9 99.9 99.9 99.8 99.7 99.6 99.6 99.8 99.9 99.9 1992 99.9 99.9 99.8 99.8 99.7 99.8 99.7 99.6 99.6 99.6 99.7 99.8 1993 98.9 98.7 98.5 97.7 96.5 97.7 96.8 89.2 97.5 96.7 96.9 97.8 1994 75.2 78.4 72.5 69.8 69.8 61.2 67.0 86.0 79.7 90.6 81.2 87.1 1995 87.9 89.4 92.0

  11. Percent of Commercial Natural Gas Deliveries in Mississippi Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 97.6 96.0 95.7 95.6 94.5 94.3 93.7 93.5 93.9 94.4 95.2 95.8 1991 96.6 97.0 96.3 95.9 94.5 94.9 94.3 94.6 95.1 94.9 95.5 96.4 1992 96.9 97.3 96.4 96.6 95.2 95.4 95.5 94.8 95.6 95.6 95.9 97.4 1993 97.3 97.3 97.2 97.1 96.1 96.0 96.0 95.7 95.5 95.4 96.1 96.5 1994 97.2 97.6 97.1 96.9 96.1 96.9 97.1 95.1 94.9 94.3 96.2 96.6 1995 96.4 97.4 98.2

  12. Percent of Commercial Natural Gas Deliveries in North Carolina Represented

    Energy Information Administration (EIA) (indexed site)

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.7 98.9 94.9 92.4 89.6 87.7 80.1 84.2 84.4 86.3 97.1 98.1 1990 98.6 98.3 98.0 97.0 89.1 86.3 85.3 85.0 84.7 84.0 98.7 99.1 1991 99.3 99.3 99.0 89.0 87.3 86.1 84.4 86.3 85.0 98.0 99.0 99.3 1992 99.3 99.2 99.2 93.1 88.3 85.8 84.3 86.2 89.2 99.9 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 95.4 95.4 95.2 99.7 89.7 96.1 100.0 1994 100.0 100.0 100.0 95.3 94.0 92.1 91.8 90.4 88.3 88.0 94.1 99.4 1995 95.7 96.0 94.5

  13. Percent of Commercial Natural Gas Deliveries in Pennsylvania Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 89.4 88.9 88.7 87.4 81.7 76.8 79.6 77.2 76.4 80.3 82.9 85.3 1990 85.9 83.6 80.9 80.0 74.0 70.2 68.5 68.3 67.2 69.6 74.9 79.2 1991 82.2 79.4 78.8 77.7 72.1 72.9 70.6 71.6 72.2 72.9 76.4 76.7 1992 77.1 79.6 76.6 75.1 71.8 73.1 68.1 67.2 69.4 74.0 74.1 79.4 1993 80.5 79.7 79.5 78.2 72.1 72.9 72.9 69.7 70.3 76.5 75.9 77.0 1994 79.0 80.2 77.5 73.9 71.6 70.8 67.1 71.4 67.9 62.7 68.7 72.1 1995 75.1 74.4 74.9 71.4 68.7

  14. Percent of Commercial Natural Gas Deliveries in South Carolina Represented

    Energy Information Administration (EIA) (indexed site)

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.5 98.5 98.6 98.3 98.1 98.2 98.1 97.7 97.7 97.8 98.0 97.3 1990 98.6 98.4 98.3 98.1 92.2 97.6 97.6 97.5 97.9 97.3 98.0 98.6 1991 98.7 98.9 98.7 96.9 97.4 97.5 97.3 97.7 97.7 97.4 98.9 98.9 1992 99.1 99.1 98.9 98.6 98.5 95.8 95.5 95.8 97.0 99.7 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 95.1 94.6 100.0 95.3 100.0 100.0 1994 100.0 100.0 100.0 99.7 97.8 98.3 97.0 95.7 95.2 95.6 96.2 99.9 1995 97.8 97.5

  15. Percent of Commercial Natural Gas Deliveries in Tennessee Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.1 98.9 98.9 97.5 96.8 95.9 96.7 95.8 96.9 97.1 97.4 99.1 1990 98.9 98.5 98.7 97.9 95.4 95.4 95.1 95.9 95.1 95.5 96.5 97.5 1991 97.9 94.6 93.6 96.0 94.8 94.3 93.8 93.8 94.0 95.3 97.1 97.8 1992 96.6 97.1 96.8 97.2 93.7 95.8 97.3 90.4 91.6 97.3 97.5 97.4 1993 96.6 96.9 96.6 96.5 97.7 91.3 91.6 91.1 91.4 92.3 94.7 98.9 1994 96.7 98.5 97.9 93.0 90.0 89.4 87.2 87.1 89.3 88.4 91.7 94.4 1995 95.5 95.8 93.4 90.8 89.6

  16. Percent of Commercial Natural Gas Deliveries in Washington Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 95.5 94.8 96.9 93.2 93.0 89.7 87.0 92.6 87.3 93.0 93.6 96.5 1990 96.2 95.9 93.2 92.1 90.9 88.9 88.3 88.4 90.1 91.7 95.7 96.5 1991 97.8 94.9 94.3 93.2 91.2 90.5 88.3 87.2 85.6 85.2 88.7 92.1 1992 92.1 89.0 88.7 85.5 83.5 80.7 78.5 80.3 81.6 83.4 86.8 92.3 1993 93.8 93.2 93.9 93.6 90.8 89.8 90.5 90.4 90.6 94.8 97.4 98.0 1994 97.6 97.6 97.6 97.4 92.1 92.1 92.4 91.7 94.4 93.8 94.1 94.7 1995 94.3 94.0 94.2 92.6 91.8

  17. Percent of Commercial Natural Gas Deliveries in Wisconsin Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.1 94.2 94.5 94.0 92.6 87.7 86.1 84.2 84.2 84.3 91.1 95.0 1990 91.6 91.5 91.9 91.9 90.3 86.5 83.1 82.4 82.6 87.5 90.1 93.3 1991 93.8 92.3 92.9 91.2 88.8 83.8 80.7 84.7 83.6 86.7 91.5 92.1 1992 92.7 92.1 91.6 90.0 85.8 82.3 83.3 84.1 85.2 90.7 93.4 95.1 1993 95.2 96.0 95.3 93.5 92.1 90.8 89.2 88.5 90.0 92.6 95.2 96.0 1994 97.1 97.6 97.4 96.6 91.8 89.9 83.5 87.1 87.8 90.8 94.4 84.4 1995 93.5 94.0 93.2 92.4 90.0

  18. Percent of Industrial Natural Gas Deliveries in Mississippi Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 28.2 32.5 24.3 32.8 25.6 33.3 27.5 30.2 28.5 21.2 31.3 31.1 2002 27.5 29.8 27.4 27.0 23.9 26.2 24.1 25.8 24.2 23.9 26.3 25.2 2003 32.3 39.3 37.3 34.5 31.8 37.2 34.6 32.3 32.7 28.6 27.0 35.7 2004 39.9 36.9 33.0 32.8 29.8 33.8 32.8 33.7 36.7 31.0 33.7 38.8 2005 26.7 24.2 23.6 24.4 23.7 22.1 23.2 22.8 42.3 24.8 28.8 23.7 2006 24.7 28.1 24.8 23.5 19.5 19.2 18.1 17.2 16.6 17.5 15.6 18.0 2007 18.4 19.6 17.4 15.6 13.4

  19. Percent of Industrial Natural Gas Deliveries in Tennessee Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 48.0 40.7 40.0 33.7 32.1 29.6 33.1 33.6 35.5 29.3 37.7 38.4 2002 36.3 39.0 44.3 34.8 36.6 33.0 32.5 31.8 33.8 35.5 33.9 38.2 2003 36.7 41.2 40.2 37.2 35.5 33.9 38.7 40.5 42.6 44.0 42.1 46.8 2004 44.2 43.4 42.1 40.5 41.0 36.5 36.4 34.6 37.0 38.3 41.5 47.1 2005 39.9 40.5 44.7 47.3 42.5 39.5 39.5 43.3 42.8 41.5 39.7 46.7 2006 40.9 44.6 40.1 37.3 37.4 39.1 35.5 35.5 34.9 38.2 41.6 39.2 2007 38.8 44.2 40.4 35.4 37.8

  20. Percent of Industrial Natural Gas Deliveries in Washington Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 40.1 37.3 39.3 33.9 31.2 31.0 27.1 35.1 34.9 46.1 46.5 46.1 2002 25.9 28.6 29.4 32.8 30.0 24.4 27.5 20.7 24.7 25.4 31.6 26.9 2003 26.3 26.9 25.5 19.5 18.5 15.1 13.6 15.3 17.5 18.9 18.7 22.2 2004 20.9 21.0 21.4 19.1 15.8 16.0 13.2 17.1 15.0 16.2 14.5 15.6 2005 15.1 14.4 15.2 12.9 11.7 11.7 11.0 15.0 15.5 18.8 20.6 25.3 2006 22.9 22.8 22.6 19.7 19.5 17.8 17.2 16.8 17.1 19.2 21.8 22.3 2007 23.5 22.4 23.2 18.7 16.9

  1. Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 25.3 26.6 26.1 18.3 12.5 11.2 12.3 12.4 10.9 15.9 19.9 23.0 2002 25.3 23.6 25.8 21.2 18.5 14.3 11.1 13.3 14.7 20.9 24.7 28.9 2003 27.0 27.3 25.9 18.8 15.3 11.7 10.7 11.7 12.2 17.7 21.3 26.2 2004 26.4 24.1 23.9 19.3 13.5 14.1 12.9 10.4 12.4 17.6 19.6 18.6 2005 21.7 20.9 20.8 15.9 13.4 11.2 12.3 13.2 13.9 16.4 21.9 25.1 2006 21.6 21.7 23.0 13.3 14.1 13.5 11.1 12.3 13.3 18.2 22.8 24.2 2007 22.3 23.7 24.1 17.8 13.6

  2. Messaging Strategies for Low-Income Participants

    Office of Energy Efficiency and Renewable Energy (EERE)

    Better Buildings Neighborhood Program, BetterBuildings Low-Income Peer Exchange Call: Messaging and Messaging Strategies for Low-Income Program Participants, May 12, 2011.

  3. WPN 15-3: 2015 Poverty Income Guidelines and Definition of Income |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy 3: 2015 Poverty Income Guidelines and Definition of Income WPN 15-3: 2015 Poverty Income Guidelines and Definition of Income Archived 02/10/16, Superseded by WPN 16-3 To provide Grantees with the 2015 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program (WAP). WPN 15-3: 2015 Poverty Income Guidelines and Definition of Income (293.58 KB) More Documents & Publications WPN 14-3: 2014 Poverty Income Guidance and

  4. Percent of Commercial Natural Gas Deliveries in West Virginia Represented

    Energy Information Administration (EIA) (indexed site)

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 68.6 69.0 65.3 63.9 55.0 45.3 39.8 39.5 40.5 49.5 58.6 71.5 1990 72.4 67.8 64.6 60.4 53.8 41.6 34.0 37.7 34.7 38.3 56.1 61.2 1991 64.6 65.8 65.4 54.5 42.1 34.1 31.0 33.9 36.5 45.2 55.6 58.0 1992 65.0 65.9 59.9 63.0 54.5 39.3 35.8 33.6 33.4 48.1 56.8 58.9 1993 60.7 61.3 61.7 60.2 47.5 33.6 30.3 30.6 33.0 46.8 54.9 60.1 1994 67.4 65.2 61.9 58.3 47.8 39.6 29.5 34.3 34.2 41.3 47.5 55.7 1995 55.5 59.5 56.1 50.6 42.2

  5. Percent of Industrial Natural Gas Deliveries in Louisiana Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 8.2 7.6 6.3 8.0 7.2 5.9 9.1 9.6 9.0 8.6 10.0 9.1 2002 13.4 13.3 13.0 13.6 14.3 13.5 12.2 13.1 12.9 12.7 13.4 14.8 2003 12.0 13.2 12.0 13.5 13.7 13.7 11.8 12.8 13.4 14.1 16.3 14.3 2004 14.5 15.7 16.4 22.9 22.7 23.7 23.3 22.9 22.8 23.3 25.2 26.0 2005 26.3 25.9 27.3 27.8 28.6 28.2 27.2 28.9 29.0 28.8 28.8 29.0 2006 29.4 28.6 29.2 26.8 28.8 28.3 28.0 29.5 26.3 25.7 28.6 31.5 2007 29.7 31.7 27.3 28.8 29.9 33.6 23.9 23.8

  6. Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 17.0 16.4 11.3 10.2 7.7 5.1 7.3 7.5 8.2 8.8 7.3 8.4 2002 8.8 8.3 7.0 5.9 5.7 5.5 4.8 5.0 7.2 7.5 8.1 11.4 2003 8.5 8.5 8.8 7.3 5.7 5.4 5.2 5.0 5.2 5.5 5.9 6.5 2004 7.7 8.1 7.3 6.8 5.3 4.8 4.8 5.1 5.2 4.7 6.5 8.3 2005 8.8 8.4 8.2 7.0 6.1 5.5 5.9 7.1 5.2 5.2 6.7 8.2 2006 8.2 7.3 7.1 5.3 4.8 4.2 4.1 4.1 6.2 4.2 4.6 5.4 2007 6.7 8.5 8.3 5.9 5.6 3.7 3.3 3.2 4.1 3.1 4.5 6.6 2008 7.7 7.3 7.3 6.9 5.7 4.8 4.4 4.3 3.8 3.9

  7. Percent of Industrial Natural Gas Deliveries in South Carolina Represented

    Energy Information Administration (EIA) (indexed site)

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 91.8 86.4 82.7 82.0 77.6 80.8 80.2 80.2 80.3 79.8 82.4 84.4 2002 89.9 87.6 85.4 88.3 90.4 87.4 90.5 84.4 90.3 90.3 84.3 82.9 2003 79.4 79.6 75.8 79.3 81.8 81.7 78.9 77.3 78.4 77.0 76.5 75.9 2004 76.9 75.6 77.0 79.2 79.0 78.2 78.5 79.0 78.6 78.3 77.2 76.4 2005 78.2 78.8 78.0 77.4 78.1 78.2 78.8 78.7 73.2 76.4 67.9 81.3 2006 80.1 78.6 74.0 80.2 71.2 75.3 75.9 77.2 70.6 74.8 48.6 44.6 2007 48.9 48.4 47.5 46.1 47.5

  8. Percent of Industrial Natural Gas Deliveries in West Virginia Represented

    Energy Information Administration (EIA) (indexed site)

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 11.2 6.1 6.1 8.6 8.2 7.3 7.7 8.9 5.9 60.8 7.0 62.1 2002 12.1 12.6 11.7 15.0 12.6 12.1 14.7 13.0 16.1 10.7 13.1 10.4 2003 14.3 12.6 20.3 13.9 14.0 14.7 13.6 13.5 14.6 12.9 14.1 10.9 2004 10.7 10.5 11.4 11.5 19.8 15.0 15.7 15.3 14.3 14.8 14.7 12.8 2005 11.4 12.8 12.5 13.7 17.4 21.1 23.5 20.4 22.1 23.0 20.7 18.5 2006 16.3 14.8 17.3 18.6 16.9 20.3 15.7 16.4 19.0 16.7 16.4 16.7 2007 15.2 13.4 15.9 16.3 17.8 18.5 18.5

  9. Competition Helps Kids Learn About Energy and Save Their Households...

    Energy Saver

    Competition Helps Kids Learn About Energy and Save Their Households Some Money Competition Helps Kids Learn About Energy and Save Their Households Some Money May 21, 2013 - 2:40pm ...

  10. Determinants of Household Use of Selected Energy Star Appliances - Energy

    Gasoline and Diesel Fuel Update

    Information Administration Determinants of Household Use of Selected Energy Star Appliances Release date: May 25, 2016 Introduction According to the 2009 Residential Energy Consumption Survey (RECS), household appliances1accounted for 35% of U.S. household energy consumption, up from 24% in 1993. Thus, improvements in the energy performance of residential appliances as well as increases in the use of more efficient appliances can be effective in reducing household energy consumption and

  11. Low-Income Weatherization: The Human Dimension

    Energy.gov [DOE]

    This presentation focuses on how the human dimension saves energy within low-income weatherization programs.

  12. 1997 Housing Characteristics Tables Home Office Equipment Tables

    Energy Information Administration (EIA) (indexed site)

    Percent of U.S. Households; 13 pages, 48 kb) Contents Pages HC7-1b. Home Office Equipment by Climate Zone, Percent of U.S. Households, 1997 1 HC7-2b. Home Office Equipment by Year of Construction, Percent of U.S. Households, 1997 1 HC7-3b. Home Office Equipment by Household Income, Percent of U.S. Households, 1997 1 HC7-4b. Home Office Equipment by Type of Housing Unit, Percent of U.S. Households, 1997 1 HC7-5b. Home Office Equipment by Type of Owner-Occupied Housing Unit, Percent of U.S.

  13. 1Q97.pdf

    Gasoline and Diesel Fuel Update

    Percent of U.S. Households; 13 pages, 48 kb) Contents Pages HC7-1b. Home Office Equipment by Climate Zone, Percent of U.S. Households, 1997 1 HC7-2b. Home Office Equipment by Year of Construction, Percent of U.S. Households, 1997 1 HC7-3b. Home Office Equipment by Household Income, Percent of U.S. Households, 1997 1 HC7-4b. Home Office Equipment by Type of Housing Unit, Percent of U.S. Households, 1997 1 HC7-5b. Home Office Equipment by Type of Owner-Occupied Housing Unit, Percent of U.S.

  14. 1997 SSRL Accelerator Physics Schedule

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Percent of U.S. Households; 13 pages, 48 kb) Contents Pages HC7-1b. Home Office Equipment by Climate Zone, Percent of U.S. Households, 1997 1 HC7-2b. Home Office Equipment by Year of Construction, Percent of U.S. Households, 1997 1 HC7-3b. Home Office Equipment by Household Income, Percent of U.S. Households, 1997 1 HC7-4b. Home Office Equipment by Type of Housing Unit, Percent of U.S. Households, 1997 1 HC7-5b. Home Office Equipment by Type of Owner-Occupied Housing Unit, Percent of U.S.

  15. The evolving price of household LED lamps: Recent trends and historical comparisons for the US market

    SciTech Connect

    Gerke, Brian F.; Ngo, Allison T.; Alstone, Andrea L.; Fisseha, Kibret S.

    2014-10-14

    In recent years, household LED light bulbs (LED A lamps) have undergone a dramatic price decline. Since late 2011, we have been collecting data, on a weekly basis, for retail offerings of LED A lamps on the Internet. The resulting data set allows us to track the recent price decline in detail. LED A lamp prices declined roughly exponentially with time in 2011-2014, with decline rates of 28percent to 44percent per year depending on lumen output, and with higher-lumen lamps exhibiting more rapid price declines. By combining the Internet price data with publicly available lamp shipments indices for the US market, it is also possible to correlate LED A lamp prices against cumulative production, yielding an experience curve for LED A lamps. In 2012-2013, LED A lamp prices declined by 20-25percent for each doubling in cumulative shipments. Similar analysis of historical data for other lighting technologies reveals that LED prices have fallen significantly more rapidly with cumulative production than did their technological predecessors, which exhibited a historical decline of 14-15percent per doubling of production.

  16. Household Energy Consumption Segmentation Using Hourly Data

    SciTech Connect

    Kwac, J; Flora, J; Rajagopal, R

    2014-01-01

    The increasing US deployment of residential advanced metering infrastructure (AMI) has made hourly energy consumption data widely available. Using CA smart meter data, we investigate a household electricity segmentation methodology that uses an encoding system with a pre-processed load shape dictionary. Structured approaches using features derived from the encoded data drive five sample program and policy relevant energy lifestyle segmentation strategies. We also ensure that the methodologies developed scale to large data sets.

  17. Household energy consumption and expenditures, 1987

    SciTech Connect

    Not Available

    1989-10-10

    Household Energy Consumption and Expenditures 1987, Part 1: National Data is the second publication in a series from the 1987 Residential Energy Consumption Survey (RECS). It is prepared by the Energy End Use Division (EEUD) of the Office of Energy Markets and End Use (EMEU), Energy Information Administration (EIA). The EIA collects and publishes comprehensive data on energy consumption in occupied housing units in the residential sector through the RECS. 15 figs., 50 tabs.

  18. Fact #720: March 26, 2012 Eleven Percent of New Light Trucks...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    0: March 26, 2012 Eleven Percent of New Light Trucks Sold have Gasoline Direct Injection Fact 720: March 26, 2012 Eleven Percent of New Light Trucks Sold have Gasoline Direct Injection ...

  19. Recovery Act Exceeds Major Cleanup Milestone, DOE Complex Now 74 Percent

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Remediated | Department of Energy Recovery Act Exceeds Major Cleanup Milestone, DOE Complex Now 74 Percent Remediated Recovery Act Exceeds Major Cleanup Milestone, DOE Complex Now 74 Percent Remediated The Office of Environmental Management's (EM) American Recovery and Reinvestment Act Program recently achieved 74 percent footprint reduction, exceeding the originally established goal of 40 percent. EM has reduced its pre-Recovery Act footprint of 931 square miles, established in 2009, by 688

  20. Waste Isolation Pilot Plant Contractor Receives 86 Percent of Available Fee

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    | Department of Energy Isolation Pilot Plant Contractor Receives 86 Percent of Available Fee Waste Isolation Pilot Plant Contractor Receives 86 Percent of Available Fee April 27, 2016 - 12:20pm Addthis Nuclear Waste Partnership received about 86 percent of the available fee for the performance period as the Waste Isolation Pilot Plant management and operations contractor. Nuclear Waste Partnership received about 86 percent of the available fee for the performance period as the Waste

  1. Left to Our Own Devices – Financing Efficiency for Small Business and Low-Income Families (2009 Environmental Defense Fund Report)

    Energy.gov [DOE]

    There is a widely known gap between cost-effective behavior, consumption patterns and actual marketplace conditions. This engineering gap/efficiency gap is particularly the case for low-income households and small businesses, which tend to depend on older, inefficient equipment. This study identifies the limitations of current and potential of relatively new mechanisms for efficiency investment micro-financing.

  2. Household and environmental characteristics related to household energy-consumption change: A human ecological approach

    SciTech Connect

    Guerin, D.A.

    1988-01-01

    This study focused on the family household as an organism and on its interaction with the three environments of the human ecosystem (natural, behavioral, and constructed) as these influence energy consumption and energy-consumption change. A secondary statistical analysis of data from the US Department of Energy Residential Energy Consumption Surveys (RECS) was completed. The 1980 and 1983 RECS were used as the data base. Longitudinal data, including household, environmental, and energy-consumption measures, were available for over 800 households. The households were selected from a national sample of owner-occupied housing units surveyed in both years. Results showed a significant( p = <.05) relationship between the dependent-variable energy-consumption change and the predictor variables heating degree days, addition of insulation, addition of a wood-burning stove, year the housing unit was built, and weighted number of appliances. A significant (p = <.05) relationship was found between the criterion variable energy-consumption change and the discriminating variables of age of the head of the household, cooling degree days, heating degree days, year the housing unit was built, and number of stories in the housing unit.

  3. Near Zero Emissions at 50 Percent Thermal Efficiency

    SciTech Connect

    None, None

    2012-12-31

    Detroit Diesel Corporation (DDC) has successfully completed a 10 year DOE sponsored heavy-duty truck engine program, hereafter referred to as the NZ-50 program. This program was split into two major phases. The first phase was called Near-Zero Emission at 50 Percent Thermal Efficiency, and was completed in 2007. The second phase was initiated in 2006, and this phase was named Advancements in Engine Combustion Systems to Enable High-Efficiency Clean Combustion for Heavy-Duty Engines. This phase was completed in September, 2010. The key objectives of the NZ-50 program for this first phase were to: Quantify thermal efficiency degradation associated with reduction of engine-out NOx emissions to the 2007 regulated level of ~1.1 g/hp-hr. Implement an integrated analytical/experimental development plan for improving subsystem and component capabilities in support of emerging engine technologies for emissions and thermal efficiency goals of the program. Test prototype subsystem hardware featuring technology enhancements and demonstrate effective application on a multi-cylinder, production feasible heavy-duty engine test-bed. Optimize subsystem components and engine controls (calibration) to demonstrate thermal efficiency that is in compliance with the DOE 2005 Joule milestone, meaning greater than 45% thermal efficiency at 2007 emission levels. Develop technology roadmap for meeting emission regulations of 2010 and beyond while mitigating the associated degradation in engine fuel consumption. Ultimately, develop technical prime-path for meeting the overall goal of the NZ-50 program, i.e., 50% thermal efficiency at 2010 regulated emissions. These objectives were successfully met during the course of the NZ-50 program. The most noteworthy achievements in this program are summarized as follows: Demonstrated technologies through advanced integrated experiments and analysis to achieve the technical objectives of the NZ-50 program with 50.2% equivalent thermal efficiency under

  4. Messaging Strategies for Low-Income Participants | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Messaging Strategies for Low-Income Participants Messaging Strategies for Low-Income Participants Better Buildings Neighborhood Program, BetterBuildings Low-Income Peer Exchange ...

  5. Appliance Commitment for Household Load Scheduling

    SciTech Connect

    Du, Pengwei; Lu, Ning

    2011-06-30

    This paper presents a novel appliance commitment algorithm that schedules thermostatically-controlled household loads based on price and consumption forecasts considering users comfort settings to meet an optimization objective such as minimum payment or maximum comfort. The formulation of an appliance commitment problem was described in the paper using an electrical water heater load as an example. The thermal dynamics of heating and coasting of the water heater load was modeled by physical models; random hot water consumption was modeled with statistical methods. The models were used to predict the appliance operation over the scheduling time horizon. User comfort was transformed to a set of linear constraints. Then, a novel linear, sequential, optimization process was used to solve the appliance commitment problem. The simulation results demonstrate that the algorithm is fast, robust, and flexible. The algorithm can be used in home/building energy-management systems to help household owners or building managers to automatically create optimal load operation schedules based on different cost and comfort settings and compare cost/benefits among schedules.

  6. Household energy consumption and expenditures 1987

    SciTech Connect

    Not Available

    1990-01-22

    This report is the third in the series of reports presenting data from the 1987 Residential Energy Consumption Survey (RECS). The 1987 RECS, seventh in a series of national surveys of households and their energy suppliers, provides baseline information on household energy use in the United States. Data from the seven RECS and its companion survey, the Residential Transportation Energy Consumption Survey (RTECS), are made available to the public in published reports such as this one, and on public use data files. This report presents data for the four Census regions and nine Census divisions on the consumption of and expenditures for electricity, natural gas, fuel oil and kerosene (as a single category), and liquefied petroleum gas (LPG). Data are also presented on consumption of wood at the Census region level. The emphasis in this report is on graphic depiction of the data. Data from previous RECS surveys are provided in the graphics, which indicate the regional trends in consumption, expenditures, and uses of energy. These graphs present data for the United States and each Census division. 12 figs., 71 tabs.

  7. 1997 Housing Characteristics Tables Housing Unit Tables

    Energy Information Administration (EIA) (indexed site)

    Percent of U.S. Households; 45 pages, 121 kb) Contents Pages HC1-1b. Housing Unit Characteristics by Climate Zone, Percent of U.S. Households, 1997 4 HC1-2b. Housing Unit Characteristics by Year of Construction, Percent of U.S. Households, 1997 4 HC1-3b. Housing Unit Characteristics by Household Income, Percent of U.S. Households, 1997 4 HC1-4b. Housing Unit Characteristics by Type of Housing Unit, Percent of U.S. Households, 1997 3 HC1-5b. Housing Unit Characteristics by Type of Owner-Occupied

  8. Barriers to household investment in residential energy conservation: preliminary assessment

    SciTech Connect

    Hoffman, W.L.

    1982-12-01

    A general assessment of the range of barriers which impede household investments in weatherization and other energy efficiency improvements for their homes is provided. The relationship of similar factors to households' interest in receiving a free energy audits examined. Rates of return that underly household investments in major conservation improvements are assessed. A special analysis of household knowledge of economically attractive investments is provided that compares high payback improvements specified by the energy audit with the list of needed or desirable conservation improvements identified by respondents. (LEW)

  9. Household energy consumption and expenditures, 1990. [Contains Glossary

    SciTech Connect

    Not Available

    1993-03-02

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide.

  10. WPN 05-4a- 2005 Poverty Income Guidelines and Definition of Income to Exclude Combat Zone Pay

    Energy.gov [DOE]

    To provide states with the 2005 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  11. EECBG 11-002 Clarification of Ten Percent Limitation on Use of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Efficiency and Conservation Block Grant Program (EECBG), ten percent ... Guidance For Energy Efficiency And Conservation Block Grant Grantees On Financing Programs ...

  12. An Analysis of the Price Elasticity of Demand for Household Appliances

    SciTech Connect

    Fujita, Kimberly; Dale, Larry; Fujita, K. Sydny

    2008-01-25

    This report summarizes our study of the price elasticity of demand for home appliances, including refrigerators, clothes washers, and dishwashers. In the context of increasingly stringent appliance standards, we are interested in what kind of impact the increased manufacturing costs caused by higher efficiency requirements will have on appliance sales. We begin with a review of existing economics literature describing the impact of economic variables on the sale of durable goods.We then describe the market for home appliances and changes in this market over the past 20 years, performing regression analysis on the shipments of home appliances and relevant economic variables including changes to operating cost and household income. Based on our analysis, we conclude that the demand for home appliances is price inelastic.

  13. Upgrade energy building standards and develop rating system for existing low-income housing

    SciTech Connect

    Muller, D.; Norville, C.

    1993-07-01

    The city of Memphis Division of Housing and Community Development (HCD) receives grant funding each year from the U.S. Department of Housing and Urban Development (HUD) to provide local housing assistance to low-income residents. Through the years, HCD has found that many of the program recipients have had difficulty in managing their households, particularly in meeting monthly financial obligations. One of the major operating costs to low-income households is the utility bill. Furthermore, HCD`s experience has revealed that many low-income residents are simply unaware of ways to reduce their utility bill. Most of the HCD funds are distributed to low-income persons as grants or no/low interest loans for the construction or rehabilitation of single-family dwellings. With these funds, HCD builds 80 to 100 new houses and renovates about 500 homes each year. Houses constructed or renovated by HCD must meet HUD`s minimum energy efficiency standards. While these minimum standards are more than adequate to meet local building codes, they are not as aggressive as the energy efficiency standards being promoted by the national utility organizations and the home building industry. Memphis Light, Gas and Water (MLGW), a city-owned utility, has developed an award-winning program named Comfort Plus which promotes energy efficiency{open_quote} in new residential construction. Under Comfort Plus, MLGW models house plans on computer for a fee and recommends cost-effective alterations which improve the energy efficiency of the house. If the builder agrees to include these recommendations, MLGW will certify the house and guarantee a maximum annual heating/cooling bill for two years. While the Comfort Plus program has received recognition in the new construction market, it does not address the existing housing stock.

  14. Fact #924: May 9, 1916 Twenty Percent of New Cars in 2015 Had Turbochargers

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    - Dataset | Department of Energy 4: May 9, 1916 Twenty Percent of New Cars in 2015 Had Turbochargers - Dataset Fact #924: May 9, 1916 Twenty Percent of New Cars in 2015 Had Turbochargers - Dataset Excel file and dataset for Twenty Percent of New Cars in 2015 Had Turbochargers fotw#924_web.xlsx (19.24 KB) More Documents & Publications Fact #923: May 2, 2016 Cylinder Deactivation was Used in More than a Quarter of New Light Trucks Produced in 2015 - Dataset Fact #869: April 20, 2015

  15. U.S. Utility-Scale Solar 60 Percent Towards Cost-Competition Goal |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Utility-Scale Solar 60 Percent Towards Cost-Competition Goal U.S. Utility-Scale Solar 60 Percent Towards Cost-Competition Goal February 12, 2014 - 11:05am Addthis News Media Contact (202) 586-4940 WASHINGTON - The Energy Department announced today that the U.S. solar industry is more than 60 percent of the way to achieving cost-competitive utility-scale solar photovoltaic (PV) electricity - only three years into the Department's decade-long SunShot Initiative. To help

  16. Low Income Home Energy Assistance Program (LIHEAP)

    Energy.gov [DOE]

    The Low Income Home Energy Assistance Program (LIHEAP) provides resources to assist families with energy costs. This federally funded assistance helps in managing costs associated with:

  17. Low Income Energy Efficiency Workgroup Meeting #1

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    for a session at the Efficiency Exchange conference in April and is looking for winning strategies for acquiring low income energy efficiency. The first session focused on...

  18. Perceptions of risk among households in two Australian coastal communities

    SciTech Connect

    Elrick-Barr, Carmen E.; Smith, Timothy F.; Thomsen, Dana C.; Preston, Benjamin L.

    2015-04-20

    There is limited knowledge of risk perceptions in coastal communities despite their vulnerability to a range of risks including the impacts of climate change. A survey of 400 households in two Australian coastal communities, combined with semi-structured interviews, provides insight into household perceptions of the relative importance of climatic and non-climatic risks and the subsequent risk priorities that may inform household adaptive action. In contrast to previous research, the results demonstrated that geographic location and household characteristics might not affect perceptions of vulnerability to environmental hazards. However, past experience was a significant influence, raising the priority of environmental concerns. Overall, the results highlight the priority concerns of coastal households (from finance, to health and environment) and suggest to increase the profile of climate issues in coastal communities climate change strategies need to better demonstrate links between climate vulnerability and other household concerns. Moreover, promoting generic capacities in isolation from understanding the context in which households construe climate risks is unlikely to yield the changes required to decrease the vulnerability of coastal communities.

  19. Perceptions of risk among households in two Australian coastal communities

    DOE PAGES [OSTI]

    Elrick-Barr, Carmen E.; Smith, Timothy F.; Thomsen, Dana C.; Preston, Benjamin L.

    2015-04-20

    There is limited knowledge of risk perceptions in coastal communities despite their vulnerability to a range of risks including the impacts of climate change. A survey of 400 households in two Australian coastal communities, combined with semi-structured interviews, provides insight into household perceptions of the relative importance of climatic and non-climatic risks and the subsequent risk priorities that may inform household adaptive action. In contrast to previous research, the results demonstrated that geographic location and household characteristics might not affect perceptions of vulnerability to environmental hazards. However, past experience was a significant influence, raising the priority of environmental concerns. Overall,more » the results highlight the priority concerns of coastal households (from finance, to health and environment) and suggest to increase the profile of climate issues in coastal communities climate change strategies need to better demonstrate links between climate vulnerability and other household concerns. Moreover, promoting generic capacities in isolation from understanding the context in which households construe climate risks is unlikely to yield the changes required to decrease the vulnerability of coastal communities.« less

  20. Reconstructing householder vectors from Tall-Skinny QR

    DOE PAGES [OSTI]

    Ballard, Grey Malone; Demmel, James; Grigori, Laura; Jacquelin, Mathias; Knight, Nicholas; Nguyen, Hong Diep

    2015-08-05

    The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than columns. However, TSQR produces a different representation of the orthogonal factor and therefore requires more software development to support the new representation. Further, implicitly applying the orthogonal factor to the trailing matrix in the context of factoring a square matrix is more complicated and costly than with the Householder representation. We show how to perform TSQR and then reconstruct the Householder vector representation with the same asymptotic communication efficiency and little extra computational cost. We demonstratemore » the high performance and numerical stability of this algorithm both theoretically and empirically. The new Householder reconstruction algorithm allows us to design more efficient parallel QR algorithms, with significantly lower latency cost compared to Householder QR and lower bandwidth and latency costs compared with Communication-Avoiding QR (CAQR) algorithm. Experiments on supercomputers demonstrate the benefits of the communication cost improvements: in particular, our experiments show substantial improvements over tuned library implementations for tall-and-skinny matrices. Furthermore, we also provide algorithmic improvements to the Householder QR and CAQR algorithms, and we investigate several alternatives to the Householder reconstruction algorithm that sacrifice guarantees on numerical stability in some cases in order to obtain higher performance.« less

  1. Reconstructing householder vectors from Tall-Skinny QR

    SciTech Connect

    Ballard, Grey Malone; Demmel, James; Grigori, Laura; Jacquelin, Mathias; Knight, Nicholas; Nguyen, Hong Diep

    2015-08-05

    The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than columns. However, TSQR produces a different representation of the orthogonal factor and therefore requires more software development to support the new representation. Further, implicitly applying the orthogonal factor to the trailing matrix in the context of factoring a square matrix is more complicated and costly than with the Householder representation. We show how to perform TSQR and then reconstruct the Householder vector representation with the same asymptotic communication efficiency and little extra computational cost. We demonstrate the high performance and numerical stability of this algorithm both theoretically and empirically. The new Householder reconstruction algorithm allows us to design more efficient parallel QR algorithms, with significantly lower latency cost compared to Householder QR and lower bandwidth and latency costs compared with Communication-Avoiding QR (CAQR) algorithm. Experiments on supercomputers demonstrate the benefits of the communication cost improvements: in particular, our experiments show substantial improvements over tuned library implementations for tall-and-skinny matrices. Furthermore, we also provide algorithmic improvements to the Householder QR and CAQR algorithms, and we investigate several alternatives to the Householder reconstruction algorithm that sacrifice guarantees on numerical stability in some cases in order to obtain higher performance.

  2. Fact #618: April 12, 2010 Vehicles per Household and Other Demographic...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    per Household and Other Demographic Statistics Fact 618: April 12, 2010 Vehicles per Household and Other Demographic Statistics Since 1969, the number of vehicles per ...

  3. WPN 12-8: 2012 Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide Grantees with the 2012 Poverty Income Guidelines and Definition of Income for use in the U.S. Department of Energy’s (DOE) Weatherization Assistance Program (WAP).

  4. Fact #748: October 8, 2012 Components of Household Expenditures on

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Transportation, 1984-2010 | Department of Energy 8: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010 Fact #748: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010 The overall share of annual household expenditures for transportation was lower in 2010 than it was in 1984, reaching its lowest point in 2009 at 15.5%. In the early to mid-1980s when oil prices were high, gasoline and motor oil made up a larger share of transportation

  5. Evaluating the income and employment impacts of gas cooling technologies

    SciTech Connect

    Hughes, P.J.; Laitner, S.

    1995-03-01

    The purpose of this study is to estimate the potential employment and income benefits of the emerging market for gas cooling products. The emphasis here is on exports because that is the major opportunity for the U.S. heating, ventilating, and air-conditioning (HVAC) industry. But domestic markets are also important and considered here because without a significant domestic market, it is unlikely that the plant investments, jobs, and income associated with gas cooling exports would be retained within the United States. The prospects for significant gas cooling exports appear promising for a variety of reasons. There is an expanding need for cooling in the developing world, natural gas is widely available, electric infrastructures are over-stressed in many areas, and the cost of building new gas infrastructure is modest compared to the cost of new electric infrastructure. Global gas cooling competition is currently limited, with Japanese and U.S. companies, and their foreign business partners, the only product sources. U.S. manufacturers of HVAC products are well positioned to compete globally, and are already one of the faster growing goods-exporting sectors of the U.S. economy. Net HVAC exports grew by over 800 percent from 1987 to 1992 and currently exceed $2.6 billion annually (ARI 1994). Net gas cooling job and income creation are estimated using an economic input-output model to compare a reference case to a gas cooling scenario. The reference case reflects current policies, practices, and trends with respect to conventional electric cooling technologies. The gas cooling scenario examines the impact of accelerated use of natural gas cooling technologies here and abroad.

  6. Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total Electricity Production in Texas, April 2011 Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 ...

  7. If I generate 20 percent of my national electricity from wind...

    OpenEI (Open Energy Information) [EERE & EIA]

    If I generate 20 percent of my national electricity from wind and solar - what does it do to my GDP and Trade Balance ? Home I think that the economics of fossil fuesl are well...

  8. Fact #924: May 9, 1916 Twenty Percent of New Cars in 2015 Had...

    Energy.gov [DOE] (indexed site)

    Twenty Percent of New Cars in 2015 Had Turbochargers File fotw924web.xlsx More Documents & Publications Fact 923: May 2, 2016 Cylinder Deactivation was Used in More than a ...

  9. EECBG 11-002 Clarification of Ten Percent Limitation on Use of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    EECBG PROGRAM NOTICE 11-002 EFFECTIVE DATE: July 28, 2011 SUBJECT: CLARIFICATION OF TEN PERCENT LIMATION ON USE OF FUNDS FOR ADMINISTRATIVE EXPENSES PURPOSE To provide guidance to...

  10. EECBG 11-002 Clarification of Ten Percent Limitation on Use of Funds for Administrative Expenses

    Energy.gov [DOE]

    U.S. Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency and Conservation Block Grant Program (EECBG), ten percent limitation, administrative expenses, the Energy Independence and Security Act of 2007.

  11. Evaluation Prompts ENERGY STAR Program to Replace Web Tool, Saving 90 Percent of Annual Costs

    Energy.gov [DOE]

    This document, from the U.S. Environmental Protection Agency's ENERGY STAR Residential Program, is part of the Case Study Series, highlighting how "Evaluation Prompts ENERGY STAR Program to Replace Web Tool, Saving 90 Percent of Annual Costs."

  12. Buildings Energy Data Book: 2.9 Low-Income Housing

    Buildings Energy Data Book

    9 2005 Housing Unit Ownership, by Income Level and Weatherization Eligibility (Millions) Single-Family Multi-Family Unit Mobile Home 2005 Household Income Own Rent Own Rent Own Rent Less than $15,000 6.1 2.4 0.3 7.1 1.6 N.A. $15,000 to $30,000 11.0 3.0 0.4 5.8 2.2 0.3 $30,000 to $49,999 15.7 2.5 N.A 3.9 1.2 N.A. All Households 68.2 10.7 4.2 20.1 5.7 1.0 Federally Eligible 10.9 4.5 1.1 9.4 2.5 0.6 Federally Ineligible 57.3 6.2 3.1 10.7 3.2 0.4 Below 100% Poverty Line 5.3 2.4 0.7 6.1 1.5 0.3

  13. Short and Long-Term Perspectives: The Impact on Low-Income Consumers of Forecasted Energy Price Increases in 2008 and A Cap & Trade Carbon Policy in 2030

    SciTech Connect

    Eisenberg, Joel Fred

    2008-01-01

    The Department of Energy's Energy Information Administration (EIA) recently released its short-term forecast for residential energy prices for the winter of 2007-2008. The forecast indicates increases in costs for low-income consumers in the year ahead, particularly for those using fuel oil to heat their homes. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation's low-income households by primary heating fuel type, nationally and by Census Region. The report provides an update of bill estimates provided in a previous study, "The Impact Of Forecasted Energy Price Increases On Low-Income Consumers" (Eisenberg, 2005). The statistics are intended for use by policymakers in the Department of Energy's Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2008 fiscal year. In addition to providing expenditure forecasts for the year immediately ahead, this analysis uses a similar methodology to give policy makers some insight into one of the major policy debates that will impact low-income energy expenditures well into the middle decades of this century and beyond. There is now considerable discussion of employing a cap-and-trade mechanism to first limit and then reduce U.S. emissions of carbon into the atmosphere in order to combat the long-range threat of human-induced climate change. The Energy Information Administration has provided an analysis of projected energy prices in the years 2020 and 2030 for one such cap-and-trade carbon reduction proposal that, when integrated with the RECS 2001 database, provides estimates of how low-income households will be impacted over the long term by such a carbon reduction policy.

  14. Measuring Income and Projecting Energy Use

    SciTech Connect

    Pitcher, Hugh M.

    2009-11-01

    Abstract: Energy is a key requirement for a healthy, productive life and a major driver of the emissions leading to an increasingly warm planet. The implications of a doubling and redoubling of per capita incomes over the remainder of this century for energy use are a critical input into understanding the magnitude of the carbon management problem. A substantial controversy about how the Special Report on Emssions Scenarios (SRES) measured income and the potential implications of how income was measured for long term levels of energy use is revisited again in the McKibbin, Pearce and Stegman article appearing elsewhere in this issue. The recent release of a new set of purchasing power estimates of national income, and the preparations for creating new scenarios to support the IPCCs fifth assessment highlight the importance of the issues which have arisen surrounding income and energy use. Comparing the 1993 and 2005 ICP results on Purchasing Power Parity (PPP) based measures of income reveals that not only do the 2005 ICP estimates share the same issue of common growth rates for real income as measured by PPP and US $, but the lack of coherence in the estimates of PPP incomes, especially for developing countries raises yet another obstacle to resolving the best way to measure income. Further, the common use of an income term to mediate energy demand (as in the Kaya identity) obscures an underlying reality about per capita energy demands, leading to unreasonable estimates of the impact of changing income measures and of the recent high GDP growth rates in India and China. Significant new research is required to create both a reasonable set of GDP growth rates and long term levels of energy use.

  15. NREL Study Shows 20 Percent Wind is Possible by 2024 - News Releases | NREL

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    NREL Study Shows 20 Percent Wind is Possible by 2024 Analysis Shows Transmission Upgrades, Offshore Wind, and Operational Changes Needed to Incorporate 20 to 30 Percent Wind January 20, 2010 Today, the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) released the Eastern Wind Integration and Transmission Study (EWITS). This unprecedented two-and-a-half year technical study of future high-penetration wind scenarios was designed to analyze the economic, operational,

  16. NREL Study: Hybrid Delivery Vans Show Nearly 20 Percent Higher Fuel Economy

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    - News Releases | NREL Study: Hybrid Delivery Vans Show Nearly 20 Percent Higher Fuel Economy September 28, 2012 The U.S. Department of Energy's (DOE)'s National Renewable Energy Laboratory (NREL) recently completed a performance evaluation report that showed significant fuel economy benefits of hybrid electric delivery vans compared to similar conventional vans. "During the on-road portion of our study, the hybrid vans demonstrated a 13 to 20 percent higher fuel economy than the

  17. Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Electricity Production in Texas, April 2011 | Department of Energy Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total Electricity Production in Texas, April 2011 Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total Electricity Production in Texas, April 2011 This report is an examination of the possible impacts, implications, and practicality of increasing the amount of electrical energy produced from combined heat and power (CHP) facilities

  18. Better Buildings Challenge Partners Pledge 20 Percent Energy Drop By 2020 |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Challenge Partners Pledge 20 Percent Energy Drop By 2020 Better Buildings Challenge Partners Pledge 20 Percent Energy Drop By 2020 November 9, 2011 - 10:00am Addthis This is the Atlanta Better Buildings Challenge Breakout Session Panel with representatives from the City of Atlanta Office of Sustainability, Southface, the U.S. General Services Administration, and two Atlanta BBC partner organizations. | Photo courtesy of Fred Perry Photography This is the Atlanta Better

  19. Transferring 2001 National Household Travel Survey

    SciTech Connect

    Hu, Patricia S; Reuscher, Tim; Schmoyer, Richard L; Chin, Shih-Miao

    2007-05-01

    Policy makers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and to accommodate future demand. These data are also needed to assess the feasibility and efficiency of alternative congestion-mitigating technologies (e.g., high-speed rail, magnetically levitated trains, and intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. In 2001, the survey was renamed the National Household Travel Survey (NHTS) and it collected both daily and long-distance trips. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel were not part of the survey. Due to the survey's design, data in the NHTS survey series were not recommended for estimating travel statistics for categories smaller than the combination of Census division (e.g., New England, Middle

  20. Ventilation Behavior and Household Characteristics in NewCalifornia Houses

    SciTech Connect

    Price, Phillip N.; Sherman, Max H.

    2006-02-01

    A survey was conducted to determine occupant use of windows and mechanical ventilation devices; barriers that inhibit their use; satisfaction with indoor air quality (IAQ); and the relationship between these factors. A questionnaire was mailed to a stratified random sample of 4,972 single-family detached homes built in 2003, and 1,448 responses were received. A convenience sample of 230 houses known to have mechanical ventilation systems resulted in another 67 completed interviews. Some results are: (1) Many houses are under-ventilated: depending on season, only 10-50% of houses meet the standard recommendation of 0.35 air changes per hour. (2) Local exhaust fans are under-utilized. For instance, about 30% of households rarely or never use their bathroom fan. (3) More than 95% of households report that indoor air quality is ''very'' or ''somewhat'' acceptable, although about 1/3 of households also report dustiness, dry air, or stagnant or humid air. (4) Except households where people cook several hours per week, there is no evidence that households with significant indoor pollutant sources get more ventilation. (5) Except households containing asthmatics, there is no evidence that health issues motivate ventilation behavior. (6) Security and energy saving are the two main reasons people close windows or keep them closed.

  1. MFT homogeneity study at TNX: Final report on the low weight percent solids concentration

    SciTech Connect

    Jenkins, W.J.

    1993-09-21

    A statistical design and analysis of both elemental analyses and weight percent solids analyses data was utilized to evaluate the MFT homogeneity at low heel levels and low agitator speed at both high and low solids feed concentrations. The homogeneity was also evaluated at both low and high agitator speed at the 6000+ gallons static level. The dynamic level portion of the test simulated feeding the Melter from the MFT to evaluate the uniformity of the solids slurry composition (Frit-PHA-Sludge) entering the melter from the MFT. This final report provides the results and conclusions from the second half of the study, the low weight percent solids concentration portion, as well as a comparison with the results from the first half of the study, the high weight percent solids portion.

  2. Fact #618: April 12, 2010 Vehicles per Household and Other Demographic

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Statistics | Department of Energy 8: April 12, 2010 Vehicles per Household and Other Demographic Statistics Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics Since 1969, the number of vehicles per household has increased by 66% and the number of vehicles per licensed driver has increased by 47%. The number of workers per household has changed the least of the statistics shown here. There has been a decline in the number of persons per household from 1969 to

  3. NREL Solar Cell Sets World Efficiency Record at 40.8 Percent - News

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Releases | NREL NREL Solar Cell Sets World Efficiency Record at 40.8 Percent August 13, 2008 Scientists at the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) have set a world record in solar cell efficiency with a photovoltaic device that converts 40.8 percent of the light that hits it into electricity. This is the highest confirmed efficiency of any photovoltaic device to date. The inverted metamorphic triple-junction solar cell was designed, fabricated and

  4. Fact #763: January 21, 2013 Eighty-four Percent of Scrapped Tires Are

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Recycled | Department of Energy 3: January 21, 2013 Eighty-four Percent of Scrapped Tires Are Recycled Fact #763: January 21, 2013 Eighty-four Percent of Scrapped Tires Are Recycled There were 263 million tires scrapped in 2009 (latest available data) which amounts to more than 4.7 million tons of waste. Fortunately, 84% of that waste was recycled. Most of the recycled tires were used to make fuel for industries such as pulp and paper mills, cement kilns, and electric utilities. Ground

  5. Fact #924: May 9, 1916 Twenty Percent of New Cars in 2015 Had Turbochargers

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    | Department of Energy 4: May 9, 1916 Twenty Percent of New Cars in 2015 Had Turbochargers Fact #924: May 9, 1916 Twenty Percent of New Cars in 2015 Had Turbochargers SUBSCRIBE to the Fact of the Week Turbocharging is not a new technology, but has grown in new light vehicle market share over the last five years. In 2015, more than 20% of new cars and nearly 14% of new light trucks had turbocharged engines (turbos). Turbocharging, often paired with gasoline direct injection (GDI), has allowed

  6. EM's Oak Ridge Cleanup Contractor Earns 93 Percent of Available Fee |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Oak Ridge Cleanup Contractor Earns 93 Percent of Available Fee EM's Oak Ridge Cleanup Contractor Earns 93 Percent of Available Fee July 28, 2016 - 12:45pm Addthis UCOR’s K-27 Building demolition project, pictured here, is ahead of schedule with actual costs projected to be less than planned, according to OREM’s correspondence regarding the contractor’s fee determination. UCOR's K-27 Building demolition project, pictured here, is ahead of schedule with

  7. NNSA hits 21 percent of CFC goal | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    | (NNSA) hits 21 percent of CFC goal Monday, October 27, 2014 - 5:14pm NNSA Blog As of today, NNSA has collected slightly more than 21 percent of its goal of $174,000 for this year's Combined Federal Campaign (CFC). With seven weeks remaining before the campaign closes on Dec. 15, 2014, everyone is encouraged to join those who have become a "Super Hero" and help push NNSA over its goal. Contributions can go to any of more than 20,000 tax-exempt organizations. Each individual can

  8. Effective Energy Behavior Change for Low-Income Weatherization...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Effective Energy Behavior Change for Low-Income Weatherization Clients Effective Energy Behavior Change for Low-Income Weatherization Clients This document contains the transcript ...

  9. LIEE (LOW-INCOME ENERGY EFFICIENCY) GRANT PROGRAM VERSUS THE...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    614 LIEE (LOW-INCOME ENERGY EFFICIENCY) GRANT PROGRAM VERSUS THE UTILITY LOW-INCOME WEATHERIZATION & DUCT SEALING PROGRAM Program Requirements and Specifications Grant Program-...

  10. Proposed Structure and Organizing Principles for Low Income Energy...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Structure and Organizing Principles for Low Income Energy Efficiency Workgroup 1 Background As part of Post-2011-Review, BPA agreed to convene a low income energy efficiency...

  11. How are coastal households responding to climate change?

    DOE PAGES [OSTI]

    Elrick-Barr, Carmen E.; Smith, Timothy F.; Preston, Benjamin L.; Thomsen, Dana C.; Baum, Scott

    2016-06-13

    In Australia, shared responsibility is a concept advocated to promote collective climate change adaptation by multiple actors and institutions. However, a shared response is often promoted in the absence of information regarding actions currently taken; in particular, there is limited knowledge regarding action occurring at the household scale. To address this gap, we examine household actions taken to address climate change and associated hazards in two Australian coastal communities. Mixed methods research is conducted to answer three questions: (1) what actions are currently taken (mitigation, actions to lobby for change or adaptation to climate impacts)? (2) why are these actionsmore » taken (e.g. are they consistent with capacity, experience, perceptions of risk); and (3) what are the implications for adaptation? We find that households are predominantly mitigating greenhouse gas emissions and that impact orientated adaptive actions are limited. Coping strategies are considered sufficient to mange climate risks, proving a disincentive for additional adaptive action. Influencing factors differ, but generally, risk perception and climate change belief are associated with action. Furthermore, the likelihood of more action is a function of homeownership and a tendency to plan ahead. Addressing factors that support or constrain household adaptive decision-making and action, from the physical (e.g. homeownership) to the social (e.g. skills in planning and a culture of adapting to change) will be critical in increasing household participation in adaptation.« less

  12. EM’s West Valley Cleanup Contactor Receives 85 Percent of Available Fee Award

    Energy.gov [DOE]

    EST VALLEY, N.Y. – EM announced that the contractor at its West Valley Demonstration Project (WVDP) cleanup earned $250,000, or nearly 85 percent of the available fee award of $295,495 for the six-month period ending Feb. 29 this year.

  13. Percent of Commercial Natural Gas Deliveries in Hawaii Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100 100 100 100 100 100 100 100 100 100 2000's 100 100 100 100 100 100 100 100 100 100 2010's

  14. Percent of Commercial Natural Gas Deliveries in Vermont Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100 100 100 100 100 100 100 100 100 100 2000's 100 100 100 100 100 100 100 100 100 100 2010's 100 100 100 100 100 NA

  15. WPN 93-14: 40 Percent Waiver Provisions for Multifamily and Mobile Home Units

    Energy.gov [DOE]

    This program notice provides guidance on multifamily and mobile home units weatherized by states, which adopt the approved 4.0 version of NEAT or other similar approved energy audits and receive a waiver of the 40 percent requirement from DOE.

  16. WPN 94-8: 40 Percent Waiver Provisions for Mobile Home Units

    Energy.gov [DOE]

    This program notice provides clarifying guidance previously issued under Weatherization Program Notice 93-14 on mobile home units weatherized by states which adopt the approved 4.0 version of NEAT or other similar approved energy audits and receive a waiver of the 40 percent requirement from DOE.

  17. Figure 5. Production Schedules at Two Development Rates for the 5 Percent

    Energy Information Administration (EIA) (indexed site)

    Probability of Recovering 16.0 Billion Barrels 5. Production Schedules at Two Development Rates for the 5 Percent Probability of Recovering 16.0 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of Alaska fig5.jpg (3770

  18. Modeling patterns of hot water use in households

    SciTech Connect

    Lutz, J.D.; Liu, Xiaomin; McMahon, J.E.

    1996-11-01

    This report presents a detailed model of hot water use patterns in individual household. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies. 21 refs., 3 figs., 10 tabs.

  19. Modeling patterns of hot water use in households

    SciTech Connect

    Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

    1996-01-01

    This report presents a detailed model of hot water use patterns in individual households. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies.

  20. Household heating bills expected to be lower this winter

    Energy Information Administration (EIA) (indexed site)

    Household heating bills expected to be lower this winter U.S. consumers are expected to pay less this winter on their home heating bills because of lower oil and natural gas prices and projected milder temperatures than last winter. In its new forecast, the U.S. Energy Information Administration said households that rely on heating oil which are mainly located in the Northeast will pay the lowest heating expenditures in 9 years down 25% from last winter as consumers are expected to save about

  1. New York Household Travel Patterns: A Comparison Analysis

    SciTech Connect

    Hu, Patricia S; Reuscher, Tim

    2007-05-01

    In 1969, the U. S. Department of Transportation began collecting detailed data on personal travel to address various transportation planning issues. These issues range from assessing transportation investment programs to developing new technologies to alleviate congestion. This 1969 survey was the birth of the Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990 and 1995. Longer-distance travel was collected in 1977 and 1995. In 2001, the survey was renamed to the National Household Travel Survey (NHTS) and collected both daily and longer-distance trips in one survey. In addition to the number of sample households that the national NPTS/NHTS survey allotted to New York State (NYS), the state procured an additional sample of households in both the 1995 and 2001 surveys. In the 1995 survey, NYS procured an addition sample of more than 9,000 households, increasing the final NY NPTS sample size to a total of 11,004 households. Again in 2001, NYS procured 12,000 additional sample households, increasing the final New York NHTS sample size to a total of 13,423 households with usable data. These additional sample households allowed NYS to address transportation planning issues pertinent to geographic areas significantly smaller than for what the national NPTS and NHTS data are intended. Specifically, these larger sample sizes enable detailed analysis of twelve individual Metropolitan Planning Organizations (MPOs). Furthermore, they allowed NYS to address trends in travel behavior over time. In this report, travel data for the entire NYS were compared to those of the rest of the country with respect to personal travel behavior and key travel determinants. The influence of New York City (NYC) data on the comparisons of the state of New York to the rest of the country was also examined. Moreover, the analysis examined the relationship between population density and travel patterns, and the similarities and differences among New

  2. A Glance at China’s Household Consumption

    SciTech Connect

    Shui, Bin

    2009-10-01

    Known for its scale, China is the most populous country with the world’s third largest economy. In the context of rising living standards, a relatively lower share of household consumption in its GDP, a strong domestic market and globalization, China is witnessing an unavoidable increase in household consumption, related energy consumption and carbon emissions. Chinese policy decision makers and researchers are well aware of these challenges and keen to promote green lifestyles. China has developed a series of energy policies and programs, and launched a wide-range social marketing activities to promote energy conservation.

  3. Percent of Industrial Natural Gas Deliveries in Vermont Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 76.6 2000's 83.8 75.4 74.7 78.8 78.3 81.7 78.4 78.0 79.6 77.9 2010's 77.1 80.9

  4. Heating oil and propane households bills to be lower this winter...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Heating oil and propane households bills to be lower this winter despite recent cold spell Despite the recent cold weather, households that use heating oil or propane as their main ...

  5. New Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases Reliability

    Office of Energy Efficiency and Renewable Energy (EERE)

    This case study outlines how General Motors (GM) developed a highly efficient pumping system for their Pontiac Operations Complex in Pontiac, Michigan. In short, GM was able to replace five original 60- to 100-hp pumps with three 15-hp pumps whose speed could be adjusted to meet plant requirements. As a result, the company reduced pumping system energy consumption by 80 percent (225,100 kWh per year), saving an annual $11,255 in pumping costs. With a capital investment of $44,966 in the energy efficiency portion of their new system, GM projected a simple payback of 4 years.

  6. Percent of Commercial Natural Gas Deliveries in Alabama Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 79.6 82.7 80.7 80.8 80.3 80.1 81.1 64.7 80.5 70.5 2000's 81.4 82.5 80.5 81.8 82.1 80.5 80.2 79.8 80.2 78.8 2010's 79.3 78.9 76.2 76.6 78.4 77.6

  7. Percent of Commercial Natural Gas Deliveries in Alaska Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 100.0 100.0 100.0 79.9 63.4 54.5 49.6 55.4 2000's 59.3 60.5 60.0 59.1 55.5 51.2 56.3 76.0 74.9 85.3 2010's 87.7 88.6 94.9 94.5 94.5 98.1

  8. Percent of Commercial Natural Gas Deliveries in Arkansas Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 92.3 91.5 90.7 91.8 95.1 96.0 95.0 94.2 90.8 89.3 2000's 89.9 87.0 80.8 81.9 80.3 74.1 71.7 70.4 64.5 59.4 2010's 55.6 51.5 40.2 43.7 45.5 42.5

  9. Percent of Commercial Natural Gas Deliveries in Colorado Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.3 96.0 95.5 95.5 94.8 94.2 93.2 92.8 94.3 97.5 2000's 97.4 95.6 95.3 95.3 94.7 95.2 95.4 95.7 95.2 94.8 2010's 94.6 93.8 92.2 94.7 94.5 NA

  10. Percent of Commercial Natural Gas Deliveries in Delaware Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 98.8 2000's 98.0 98.3 82.8 82.8 81.6 83.3 77.5 74.8 70.6 53.5 2010's 49.8 53.4 43.7 45.0 46.2 45.7

  11. Percent of Commercial Natural Gas Deliveries in Georgia Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 88.4 87.5 88.1 90.5 92.0 93.5 94.1 89.1 83.6 61.0 2000's 17.1 20.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's

  12. Percent of Commercial Natural Gas Deliveries in Idaho Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 87.9 87.6 85.7 86.8 85.9 86.0 86.6 86.1 86.4 85.9 2000's 86.3 86.3 85.9 85.2 85.7 85.6 85.8 84.8 86.0 83.7 2010's 82.0 80.8 77.0 77.4 76.6 74.6

  13. Percent of Commercial Natural Gas Deliveries in Illinois Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 57.6 59.0 57.7 55.3 52.8 50.4 53.9 54.3 47.4 42.8 2000's 41.9 41.1 40.9 43.1 41.2 41.5 39.7 42.2 43.3 41.3 2010's 42.3 38.1 36.8 38.4 38.5 36.1

  14. Percent of Commercial Natural Gas Deliveries in Indiana Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.7 94.2 96.8 95.2 92.3 87.8 96.3 89.9 79.2 78.3 2000's 78.0 77.1 78.4 79.8 78.2 82.1 79.4 78.1 77.9 73.9 2010's 72.5 70.2 67.4 68.2 67.6 67.0

  15. Percent of Commercial Natural Gas Deliveries in Iowa Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.6 97.7 95.7 94.7 90.4 89.3 87.7 88.2 85.8 83.4 2000's 81.1 82.0 81.4 78.0 78.3 78.3 77.3 77.7 75.8 72.5 2010's 72.0 72.1 72.2 72.5 74.4 NA

  16. Percent of Commercial Natural Gas Deliveries in Kentucky Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.0 94.0 93.1 92.6 91.4 89.2 90.8 90.0 87.4 87.9 2000's 85.6 81.8 78.9 79.2 78.7 79.7 81.3 81.7 82.0 80.1 2010's 80.5 79.2 77.4 78.8 80.5 79.2

  17. Percent of Commercial Natural Gas Deliveries in Maryland Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.6 96.6 96.0 96.6 97.1 96.9 91.9 67.1 36.6 33.4 2000's 39.1 32.6 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's 100.0 27.3 24.7 26.2 27.3 27

  18. Percent of Commercial Natural Gas Deliveries in Missouri Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 86.0 85.9 85.5 84.6 83.3 83.3 82.2 79.9 78.3 78.6 2000's 80.0 80.8 80.0 80.5 77.4 77.1 76.4 76.9 77.5 76.7 2010's 76.5 73.1 69.2 72.3 70.5 71

  19. Percent of Commercial Natural Gas Deliveries in Montana Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.9 97.5 95.4 93.2 91.8 91.6 91.5 91.5 77.2 79.8 2000's 73.5 76.1 75.1 68.8 76.0 77.4 76.9 78.5 79.6 49.2 2010's 54.6 53.3 52.8 53.3 53.5 NA

  20. Percent of Commercial Natural Gas Deliveries in Nebraska Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 93.9 91.8 88.2 91.0 80.2 77.1 70.0 74.2 72.5 66.6 2000's 61.1 63.7 63.7 65.4 63.5 64.5 65.1 63.9 57.5 61.3 2010's 60.6 60.6 55.8 57.3 56.4 56.1

  1. Percent of Commercial Natural Gas Deliveries in New Jersey Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 94.8 93.9 92.4 91.6 91.6 86.3 73.3 56.2 60.5 56.0 2000's 56.9 57.5 49.1 50.7 48.1 51.6 46.9 44.2 42.1 38.3 2010's 36.1 32.6 30.8 35.2 32.0

  2. Percent of Commercial Natural Gas Deliveries in New Mexico Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 83.1 77.7 70.0 62.5 62.4 60.3 64.7 71.0 67.0 63.0 2000's 62.2 67.3 72.5 70.3 69.0 69.0 65.0 64.2 62.6 58.2 2010's 60.7 59.8 57.0 57.0 54.4 NA

  3. Percent of Commercial Natural Gas Deliveries in North Dakota Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 74.8 70.0 68.9 72.7 79.6 80.9 88.0 88.9 83.8 88.2 2000's 89.5 90.1 91.6 94.4 92.6 92.9 93.0 93.3 93.4 92.9 2010's 92.6 92.8 91.9 92.6 93.1 93.0

  4. Percent of Commercial Natural Gas Deliveries in Ohio Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 87.3 86.7 85.6 84.6 81.5 76.3 71.8 65.5 55.0 46.4 2000's 45.2 41.8 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's

  5. Percent of Commercial Natural Gas Deliveries in Oregon Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.7 97.9 97.8 97.9 98.1 98.1 98.3 98.5 99.0 98.8 2000's 98.8 99.3 98.7 98.4 98.6 98.6 98.5 98.5 98.5 98.4 2010's 97.4 97.4 96.9 96.6 96.0 NA

  6. Percent of Commercial Natural Gas Deliveries in Rhode Island Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.9 100.0 100.0 100.0 100.0 100.0 91.8 80.5 59.2 53.2 2000's 53.2 58.0 65.9 72.1 73.3 74.3 73.1 66.5 66.2 68.0 2010's 61.2 56.9 55.4 54.5 52.2 53.9

  7. Percent of Commercial Natural Gas Deliveries in South Dakota Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 86.4 81.8 82.4 83.9 89.1 86.9 82.7 83.3 84.2 81.2 2000's 83.1 84.2 83.1 82.3 82.3 83.5 82.1 81.2 83.0 82.2 2010's 80.9 81.7 81.6 81.6 81.6 81.0

  8. Percent of Commercial Natural Gas Deliveries in Texas Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 89.8 89.3 79.7 83.8 82.4 68.6 83.5 61.4 81.0 77.3 2000's 79.0 88.4 71.8 73.7 74.6 79.5 82.0 81.9 82.5 78.3 2010's 76.4 73.4 72.4 72.8 72.6 NA

  9. Percent of Commercial Natural Gas Deliveries in Utah Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 100.0 100.0 83.3 81.8 81.9 83.2 82.5 82.9 2000's 83.9 84.4 83.7 84.4 84.4 86.8 86.8 86.9 86.4 85.6 2010's 86.2 86.7 83.9 81.8 78.3 77.0

  10. Percent of Commercial Natural Gas Deliveries in Virginia Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 93.2 93.6 90.7 88.8 86.7 84.1 85.3 77.9 72.1 67.4 2000's 66.4 65.8 61.4 65.7 63.6 100.0 100.0 100.0 100.0 100.0 2010's 100.0 54.1 52.1 54.6 55.8 54.2

  11. Percent of Commercial Natural Gas Deliveries in Wyoming Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 99.8 99.0 98.0 98.0 96.1 93.6 85.9 84.1 90.5 89.1 2000's 90.0 86.5 48.7 51.7 51.4 49.3 47.8 49.3 65.6 65.5 2010's 65.3 64.0 62.6 62.9 60.8

  12. Percent of Industrial Natural Gas Deliveries in Georgia Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 26.7 25.3 23.9 2000's 20.2 19.9 19.2 15.9 16.4 17.1 17.0 17.2 16.1 17.6 2010's 18.2 18.2 20.0 18.9 20.0 NA

  13. Percent of Industrial Natural Gas Deliveries in Idaho Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.0 2.5 2.7 2000's 2.7 2.2 2.0 2.1 2.4 2.3 2.1 2.0 1.9 1.7 2010's 1.8 2.0 1.9 2.5 2.8 2.4

  14. Percent of Industrial Natural Gas Deliveries in Illinois Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 11.5 9.3 9.1 2000's 9.0 9.9 9.3 9.9 9.0 9.5 8.7 9.5 9.4 7.7 2010's 7.4 6.3 6.0 6.8 6.4 5.9

  15. Percent of Industrial Natural Gas Deliveries in Indiana Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 16.0 9.3 5.8 2000's 10.3 7.7 8.6 9.0 8.3 7.9 7.2 7.4 6.7 7.0 2010's 5.6 3.5 1.9 2.0 2.1 1.9

  16. Percent of Industrial Natural Gas Deliveries in Iowa Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 8.7 6.8 7.4 2000's 7.0 7.5 7.6 7.9 8.4 9.8 8.5 6.5 6.6 6.4 2010's 5.8 5.5 5.2 5.6 4.8 NA

  17. Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 19.2 17.8 17.5 2000's 19.0 18.7 17.7 18.8 16.9 16.9 15.8 16.6 17.5 18.1 2010's 17.9 17.6 17.8 18.3 17.2 16.0

  18. Percent of Industrial Natural Gas Deliveries in Maryland Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 7.4 7.0 6.5 2000's 6.1 8.5 8.0 10.0 8.2 8.2 6.7 7.8 6.3 5.3 2010's 5.3 5.5 5.1 6.8 7.3

  19. Percent of Industrial Natural Gas Deliveries in Michigan Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 12.5 10.8 11.1 2000's 10.2 11.3 10.2 10.9 10.7 10.1 10.2 12.6 12.5 11.8 2010's 8.8 9.3 7.4 7.4 7.6 NA

  20. Percent of Industrial Natural Gas Deliveries in Missouri Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 21.5 18.2 18.5 2000's 16.8 16.5 16.0 14.8 13.8 14.2 13.2 12.8 13.9 13.2 2010's 13.1 13.4 12.5 13.9 14.0 12.3

  1. Percent of Industrial Natural Gas Deliveries in Montana Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 3.1 1.5 1.7 2000's 1.9 2.2 2.1 1.8 1.6 1.8 0.7 0.8 1.0 1.1 2010's 1.5 1.3 1.0 1.2 1.4

  2. Percent of Industrial Natural Gas Deliveries in Nebraska Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 27.0 12.7 14.2 2000's 15.4 18.0 15.7 16.5 16.5 16.3 11.6 9.7 10.2 8.9 2010's 8.2 7.6 6.8 7.8 7.4 7.1

  3. Percent of Industrial Natural Gas Deliveries in New Jersey Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 49.3 49.5 47.9 2000's 23.5 21.6 20.8 19.5 16.4 19.9 19.5 20.6 11.0 9.0 2010's 8.4 8.2 6.5 6.1 6.6

  4. Percent of Industrial Natural Gas Deliveries in New Mexico Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 9.5 9.8 16.4 2000's 16.5 10.1 15.6 12.3 11.2 8.4 11.6 10.6 10.0 11.9 2010's 12.4 10.2 7.9 8.0 7.5 6.4

  5. Percent of Industrial Natural Gas Deliveries in North Dakota Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 18.5 14.6 14.9 2000's 13.9 9.8 9.2 45.9 51.1 27.5 42.3 48.1 46.2 34.8 2010's 29.7 37.4 34.7 37.9 34.7 39.6

  6. Percent of Industrial Natural Gas Deliveries in Ohio Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 5.7 4.3 4.1 2000's 5.3 6.5 4.0 3.9 3.5 3.6 3.0 2.7 2.7 2.8 2010's 2.1 2.0 1.6 2.2 2.0 NA

  7. Percent of Industrial Natural Gas Deliveries in Oregon Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 16.3 14.3 13.6 2000's 17.7 21.5 14.4 17.5 24.9 33.2 26.6 21.8 20.1 18.9 2010's 17.1 17.1 16.7 16.9 17.2 16.6

  8. Percent of Industrial Natural Gas Deliveries in Rhode Island Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 17.4 7.4 6.5 2000's 34.0 27.3 27.3 18.9 15.7 15.3 13.6 11.6 11.7 9.2 2010's 6.5 6.0 6.3 9.0 8.1 5

  9. Percent of Industrial Natural Gas Deliveries in South Dakota Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 24.1 35.6 37.0 2000's 41.9 42.1 19.4 25.5 28.2 30.2 33.6 17.8 16.9 14.4 2010's 10.4 4.7 4.3 5.2 4.6 4.1

  10. Percent of Industrial Natural Gas Deliveries in Texas Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 17.2 14.1 23.7 2000's 29.6 35.0 43.0 43.9 48.8 54.6 55.4 54.7 50.4 47.2 2010's 48.6 39.0 39.4 41.7 40.3 40.7

  11. Percent of Industrial Natural Gas Deliveries in Utah Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 8.9 8.6 9.5 2000's 10.0 10.4 13.6 13.6 19.8 19.5 20.1 14.1 12.7 12.2 2010's 12.1 12.7 11.0 11.1 10.5 8.6

  12. Percent of Industrial Natural Gas Deliveries in Virginia Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 13.0 12.8 12.1 2000's 17.6 17.3 15.3 17.3 16.0 17.1 13.9 14.1 17.3 15.8 2010's 15.3 13.6 10.9 10.3 11.1 NA

  13. Percent of Industrial Natural Gas Deliveries in Wyoming Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.5 2.0 2.9 2000's 2.6 2.5 2.9 1.8 2.1 3.7 3.5 3.0 3.2 3.1 2010's 1.1 1.0 0.9 1.2 1.3

  14. Method to produce alumina aerogels having porosities greater than 80 percent

    DOEpatents

    Poco, John F.; Hrubesh, Lawrence W.

    2003-09-16

    A two-step method for producing monolithic alumina aerogels having porosities of greater than 80 percent. Very strong, very low density alumina aerogel monoliths are prepared using the two-step sol-gel process. The method of preparing pure alumina aerogel modifies the prior known sol method by combining the use of substoichiometric water for hydrolysis, the use of acetic acid to control hydrolysis/condensation, and high temperature supercritical drying, all of which contribute to the formation of a polycrystalline aerogel microstructure. This structure provides exceptional mechanical properties of the alumina aerogel, as well as enhanced thermal resistance and high temperature stability.

  15. Fact #729: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy 9: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles Fact #729: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles When a household has more than one vehicle, the secondary vehicles travel fewer miles than the primary vehicle. In a two-vehicle household, the second vehicle travels less than half of the miles that the primary vehicle travels in a day. In a six-vehicle household, the sixth vehicle travels fewer than five miles a day. Daily Vehicle

  16. EmPOWER Maryland Low Income Energy Efficiency Program

    Energy.gov [DOE]

    The Maryland Department of Housing and Community Development (DHCD) EmPOWER Maryland Low Income Energy Efficiency Program helps qualifying low-income residents increase the energy efficiency of t...

  17. Better Buildings Residential Network Multifamily & Low-Income...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... peerexchange@rossstrategic.com 6 Data & Evaluation Financing & Revenue Marketing & Outreach Multifamily Low-Income Housing Program Sustainability ...

  18. Percent of Commercial Natural Gas Deliveries in Hawaii Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100 100 100 100 100 100 100 100 100 100 100 100 1990 100 100 100 100 100 100 100 100 100 100 100 100 1991 100 100 100 100 100 100 100 100 100 100 100 100 1992 100 100 100 100 100 100 100 100 100 100 100 100 1993 100 100 100 100 100 100 100 100 100 100 100 100 1994 100 100 100 100 100 100 100 100 100 100 100 100 1995 100 100 100 100 100 100 100 100 100 100 100 100 1996 100 100 100 100 100 100 100 100 100 100 100 100

  19. Percent of Commercial Natural Gas Deliveries in Vermont Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100 100 100 100 100 100 100 100 100 100 100 100 1990 100 100 100 100 100 100 100 100 100 100 100 100 1991 100 100 100 100 100 100 100 100 100 100 100 100 1992 100 100 100 100 100 100 100 100 100 100 100 100 1993 100 100 100 100 100 100 100 100 100 100 100 100 1994 100 100 100 100 100 100 100 100 100 100 100 100 1995 100 100 100 100 100 100 100 100 100 100 100 100 1996 100 100 100 100 100 100 100 100 100 100 100 100

  20. Percent of Commercial Natural Gas Deliveries in U.S. Total Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 93.1 90.8 89.1 1990's 86.6 85.1 83.2 83.9 79.3 76.7 77.6 70.8 67.0 66.1 2000's 63.9 66.0 77.4 78.2 78.0 82.1 80.8 80.4 79.7 77.8 2010's 77.5 67.3 65.2 65.8 65.8 65.9

  1. Percent of Industrial Natural Gas Deliveries in Hawaii Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 100 100 100 100 100 100 100 100 100 100 100 100 2002 100 100 100 100 100 100 100 100 100 100 100 100 2003 100 100 100 100 100 100 100 100 100 100 100 100 2004 100 100 100 100 100 100 100 100 100 100 100 100 2005 100 100 100 100 100 100 100 100 100 100 100 100 2006 100 100 100 100 100 100 100 100 100 100 100 100 2007 100 100 100 100 100 100 100 100 100 100 100 100 2008 100 100 100 100 100 100 100 100 100 100 100 100

  2. DOE/EA-1381

    National Nuclear Security Administration (NNSA)

    ... Economically, 15 percent of the households within a 16-km (10-mi) radius have annual incomes below the defined poverty level of 12,674. Within an 80 km (50-mi) radius of the site, ...

  3. Possibility of using cylindrical ionization chambers for percent depth-dose measurements in clinical electron beams

    SciTech Connect

    Ono, Takeshi; Araki, Fujio; Yoshiyama, Fumiaki

    2011-08-15

    Purpose: This study investigated the possibility of using cylindrical ionization chambers for percent depth-dose (PDD) measurements in high-energy clinical electron beams. Methods: The cavity correction factor, P{sub cav}, for cylindrical chambers with various diameters was calculated as a function of depth from the surface to R{sub 50}, in the energy range of 6-18 MeV electrons with the EGSnrc C ++ -based user-code CAVITY. The results were compared with those for IBA NACP-02 and PTW Roos parallel-plate ionization chambers. The effective point of measurement (EPOM) for the cylindrical chamber and the parallel-plate chamber was positioned according to the IAEA TRS-398 code of practice. The overall correction factor, P{sub Q}, and the percent depth-ionization (PDI) curve for a PTW30013 Farmer-type chamber were also compared with those of NACP-02 and Roos chambers. Results: The P{sub cav} values at depths between the surface and R{sub 50} for cylindrical chambers were all lower than those with parallel-plate chambers. However, the variation in depth for cylindrical chambers equal to or less than 4 mm in diameter was equivalent to or smaller than that for parallel-plate chambers. The P{sub Q} values for the PTW30013 chamber mainly depended on P{sub cav}, and for parallel-plate chambers depended on the wall correction factor, P{sub wall}, rather than P{sub cav}. P{sub Q} at depths from the surface to R{sub 50} for the PTW30013 chamber was consequently a lower value than that with parallel-plate chambers. However, the variation in depth was equivalent to that of parallel-plate chambers at electron energies equal to or greater than 9 MeV. The shift to match calculated PDI curves for the PTW30013 chamber and water (perturbation free) varied from 0.65 to 0 mm between 6 and 18 MeV beams. Similarly, the shifts for NACP-02 and Roos chambers were 0.5-0.6 mm and 0.2-0.3 mm, respectively, and were nearly independent of electron energy. Conclusions: Calculated PDI curves for PTW

  4. Percent of Commercial Natural Gas Deliveries in Alaska Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0 100.0

  5. Percent of Commercial Natural Gas Deliveries in Delaware Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0 100.0

  6. Percent of Commercial Natural Gas Deliveries in Maine Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0 100.0

  7. Percent of Commercial Natural Gas Deliveries in New Jersey Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.0 98.9 98.7 98.3 96.2 94.7 94.2 93.4 93.5 94.7 99.0 99.7 1990 99.6 99.3 96.6 94.4 94.3 93.2 89.3 86.4 87.1 86.2 91.7 96.5 1991 98.1 96.5 95.8 91.8 92.3 89.1 89.5 80.6 89.2 90.0 93.2 97.0 1992 96.9 95.7 92.1 87.7 94.1 91.3 88.6 80.7 80.7 86.4 94.8 96.9 1993 93.6 94.0 93.7 91.2 88.5 86.4 87.1 79.8 84.6 90.0 92.4 93.8 1994 94.9 96.2 96.3 89.8 87.4 85.1 81.4 82.2 83.6 88.0 89.6 92.1 1995 93.7 92.4 91.3 87.4 84.5

  8. Percent of Commercial Natural Gas Deliveries in North Dakota Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 81.7 84.8 84.0 83.9 80.6 74.8 69.2 64.9 71.4 70.9 74.8 81.6 1990 83.9 82.5 78.4 76.0 75.4 69.7 54.3 53.3 57.4 58.4 69.8 75.8 1991 79.4 79.9 74.9 71.7 70.6 59.0 49.6 47.6 49.6 48.7 67.6 70.1 1992 71.7 73.7 72.0 71.6 73.6 63.8 61.6 58.8 57.2 56.8 67.3 68.9 1993 77.1 73.8 77.4 76.8 73.3 62.6 58.1 54.0 53.5 56.0 74.2 78.9 1994 82.6 86.8 83.1 82.1 78.4 69.7 66.2 63.2 61.8 64.0 82.2 76.9 1995 84.3 85.9 84.3 83.2 80.0

  9. Percent of Commercial Natural Gas Deliveries in Rhode Island Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 87.1 83.9 47.7 48.9 40.4 44.6 82.7 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 75.5 80.2 97.3 91.1 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0 100.0 100.0

  10. Percent of Commercial Natural Gas Deliveries in South Dakota Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 92.8 93.1 92.8 92.1 92.5 91.6 90.2 89.4 90.0 89.6 91.1 92.0 1990 90.7 90.1 90.2 88.0 78.4 83.0 81.9 82.4 82.0 77.7 82.0 86.3 1991 84.8 83.0 80.5 83.4 79.5 74.9 74.3 74.3 74.5 76.7 83.4 85.2 1992 87.0 83.3 85.6 83.1 80.7 73.5 72.3 74.6 78.0 76.5 81.8 84.7 1993 86.5 83.9 84.4 81.2 76.4 73.3 74.9 72.9 75.8 78.7 90.0 91.2 1994 92.9 92.3 92.6 88.4 84.7 74.7 72.7 82.0 79.0 83.4 88.4 92.1 1995 92.1 90.8 89.7 87.2 82.8

  11. Percent of Commercial Natural Gas Deliveries in Utah Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 83.8 85.2 82.9 82.4 77.7 77.9 76.4

  12. Percent of Commercial Natural Gas Deliveries in Wyoming Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 99.8 99.6 99.7 99.7 1990 99.7 99.7 99.7 99.8 99.7 99.7 99.6 99.6 99.5 99.5 99.7 99.7 1991 99.9 99.9 99.4 98.9 99.0 98.2 97.4 98.3 97.2 98.4 98.6 98.5 1992 98.6 98.1 97.8 98.4 97.9 97.2 96.5 97.1 97.4 97.2 98.2 98.3 1993 98.8 98.2 98.4 98.1 98.2 96.9 97.1 96.5 95.0 97.1 97.2 99.0 1994 98.1 96.0 96.9 97.3 95.2 91.7 93.4 92.1 93.5 95.6 96.1 96.8 1995 88.4 98.2 93.6 92.4 89.2

  13. Percent of Commercial Natural Gas Deliveries in U.S. Total Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1983 NA NA NA NA NA NA NA NA NA NA NA NA 1984 NA NA NA NA NA NA NA NA NA NA NA NA 1985 NA NA NA NA NA NA NA NA NA NA NA NA 1986 NA NA NA NA NA NA NA NA NA NA NA NA 1987 NA NA NA NA NA NA NA NA NA NA NA NA 1988 93.8 93.3 92.5 91.7 89.4 87.5 86.3 87.2 87.6 87.4 88.7 89.7 1989 91.0 91.2 90.8 89.2 88.2 86.1 85.1 85.1 84.6 85.2 87.7 90.7 1990 90.8 88.8 88.3 86.9 85.5 83.8 81.8 81.7 80.3 81.2 84.7 87.9 1991 89.4 88.5 87.8

  14. Percent of Industrial Natural Gas Deliveries in U.S. Total Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 23.5 23.2 22.0 21.0 19.5 19.2 20.2 19.6 19.8 20.3 20.2 20.7 2002 20.3 20.5 20.2 26.3 23.9 25.5 24.0 22.5 22.5 21.7 21.8 23.1 2003 21.4 22.1 21.3 20.9 20.3 19.1 24.7 22.9 22.9 23.3 22.7 23.5 2004 23.1 23.6 22.8 23.3 23.4 25.0 24.9 24.0 22.8 22.6 23.5 24.5 2005 24.8 24.3 24.6 23.9 24.2 23.7 24.5 24.6 23.2 23.2 23.4 23.7 2006 23.7 23.7 23.8 23.5 23.8 23.3 23.6 23.7 22.0 22.9 23.0 23.4 2007 22.7 23.0 22.4 22.3 23.2

  15. Percent of Industrial Natural Gas Deliveries in New Jersey Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 29.3 31.1 27.6 21.9 21.2 19.6 18.6 15.6 18.5 16.8 15.6 21.1 2002 23.5 22.2 23.5 21.5 18.7 18.3 17.4 16.9 18.0 18.5 22.1 26.0 2003 21.1 23.1 26.0 26.8 23.9 18.0 15.3 17.3 13.3 14.9 13.0 18.4 2004 19.5 22.5 18.1 16.6 15.0 13.7 11.6 15.1 13.6 13.6 15.4 18.5 2005 22.4 22.7 21.9 17.6 15.7 15.4 17.7 20.4 16.9 19.4 20.1 25.4 2006 23.6 22.4 21.6 19.0 17.0 16.3 18.5 19.1 15.6 16.6 19.9 21.8 2007 21.5 23.6 20.8 23.0 17.1

  16. Buildings Energy Data Book: 2.3 Residential Sector Expenditures

    Buildings Energy Data Book

    4 2005 Average Household Expenditures as Percent of Annual Income, by Census Region ($2010) Item Energy (1) Shelter (2) Food Telephone, water and other public services Household supplies, furnishings and equipment (3) Transportation (4) Healthcare Education Personal taxes (5) Average Annual Expenditures Average Annual Income Note(s): Source(s): 1) Average household energy expenditures are calculated from the Residential Energy Consumption Survey (RECS), while average expenditures for other

  17. Fact #614: March 15, 2010 Average Age of Household Vehicles | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy 4: March 15, 2010 Average Age of Household Vehicles Fact #614: March 15, 2010 Average Age of Household Vehicles The average age of household vehicles has increased from 6.6 years in 1977 to 9.2 years in 2009. Pickup trucks have the oldest average age in every year listed. Sport utility vehicles (SUVs), first reported in the 1995 survey, have the youngest average age. Average Vehicle Age by Vehicle Type Graph showing the average vehicle age by type (car, van, pickup, SUV, all household

  18. Percent of Commercial Natural Gas Deliveries in Alabama Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 84.0 82.5 89.4 90.6 83.8 86.2 55.5 83.6 78.9 84.4 78.4 85.7 1990 86.9 82.1 80.0 76.8 74.9 79.8 76.8 73.3 76.5 78.0 69.7 81.4 1991 82.2 87.0 87.9 83.2 84.0 85.4 85.7 81.3 75.8 74.4 75.5 81.7 1992 83.7 86.8 84.0 83.2 79.0 77.6 75.3 74.7 74.4 73.2 74.2 80.6 1993 84.1 85.3 85.8 84.0 79.8 76.8 75.9 74.0 74.4 71.3 74.7 79.3 1994 86.1 87.7 84.1 83.1 78.0 76.5 74.8 71.8 64.7 70.0 73.6 76.7 1995 82.5 85.7 85.8 81.4 77.5 75.7

  19. Percent of Commercial Natural Gas Deliveries in Arkansas Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 95.3 95.6 95.9 94.3 91.3 91.5 87.2 86.2 88.2 87.5 90.7 93.4 1990 95.8 94.8 93.7 93.2 90.7 88.8 88.4 86.9 87.4 86.8 90.6 91.5 1991 93.8 94.7 96.1 91.0 87.7 85.1 84.8 85.5 85.9 86.5 90.5 92.3 1992 93.0 94.7 91.3 92.7 88.4 87.0 85.9 85.4 86.4 87.6 88.7 90.8 1993 92.5 93.0 92.8 91.8 87.6 84.2 85.9 84.7 85.7 87.8 92.7 98.7 1994 93.9 95.9 95.4 94.8 91.2 91.7 94.2 94.3 96.6 95.3 96.4 97.4 1995 97.2 98.0 96.3 95.1 93.3 93.1

  20. Percent of Commercial Natural Gas Deliveries in Colorado Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.0 98.1 98.3 97.8 97.3 97.3 95.0 91.8 95.8 95.6 96.9 97.2 1990 98.1 98.0 97.9 97.6 97.3 97.4 94.7 94.5 95.5 94.6 97.0 97.0 1991 96.8 97.1 96.1 96.2 96.9 97.2 93.7 93.9 93.6 92.3 94.7 96.3 1992 96.7 96.7 95.9 95.7 95.1 96.0 94.2 93.3 93.6 91.2 93.7 96.2 1993 96.6 96.4 96.5 95.8 95.2 95.5 93.0 93.1 95.2 90.6 94.1 95.9 1994 95.9 96.1 95.7 94.9 95.3 94.3 91.2 91.7 93.1 91.5 93.2 95.5 1995 95.9 96.0 95.1 94.3 95.1 95.5

  1. Percent of Commercial Natural Gas Deliveries in Georgia Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 96.6 93.6 89.7 88.2 85.3 81.7 80.7 80.2 83.0 86.4 89.4 96.8 1990 96.5 90.3 88.7 86.9 82.0 80.9 80.1 82.5 78.9 84.3 87.9 94.1 1991 92.1 90.7 88.8 84.7 81.6 79.7 79.6 80.3 78.8 82.8 90.7 92.5 1992 90.8 90.6 89.3 88.2 85.0 82.7 79.7 83.3 83.4 84.6 87.9 92.9 1993 91.5 92.9 94.6 90.9 86.5 83.0 85.4 84.9 85.6 86.0 91.2 93.0 1994 97.0 94.9 92.4 90.3 89.3 86.8 87.9 89.0 86.1 88.6 91.6 92.6 1995 96.1 97.1 93.3 90.7 89.7 88.4

  2. Percent of Commercial Natural Gas Deliveries in Idaho Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 88.9 90.2 90.6 89.0 82.8 85.9 86.8 83.0 84.1 79.3 84.6 87.4 1990 91.5 90.4 89.7 87.7 85.8 88.1 86.1 85.2 85.0 79.3 86.3 86.4 1991 91.0 91.7 88.5 87.4 87.4 86.8 84.7 84.0 82.9 73.6 85.1 87.5 1992 89.4 89.0 87.1 85.2 83.1 80.2 81.0 82.4 80.2 77.9 82.2 88.3 1993 89.4 89.9 91.0 87.9 87.4 82.3 82.8 81.3 79.2 77.7 81.5 87.8 1994 87.8 88.6 88.1 85.9 83.2 82.7 84.2 80.1 80.6 79.4 84.1 87.6 1995 89.7 89.1 86.5 85.5 86.0 85.3

  3. Percent of Commercial Natural Gas Deliveries in Illinois Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 71.8 73.5 69.8 69.6 67.5 59.7 50.2 47.4 62.4 64.5 68.9 74.5 1990 65.6 65.7 60.2 55.3 52.9 40.6 40.7 41.8 44.5 54.6 52.2 63.6 1991 66.1 62.7 61.0 56.7 49.1 45.4 39.4 43.5 55.0 54.8 60.4 60.3 1992 63.0 58.2 59.5 57.5 53.0 43.4 44.4 49.2 47.0 55.5 60.5 59.9 1993 61.0 58.4 58.3 56.3 51.5 43.4 42.9 38.3 50.0 50.2 53.7 56.0 1994 59.1 59.9 58.0 49.9 46.5 37.8 36.1 36.3 39.7 47.5 49.9 52.0 1995 54.8 53.2 52.9 49.3 40.2 42.9

  4. Percent of Commercial Natural Gas Deliveries in Indiana Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.1 93.9 94.3 92.6 92.6 97.2 96.7 96.8 89.1 91.9 97.7 98.9 1990 99.2 98.5 93.4 90.1 92.1 90.6 92.2 89.7 88.4 91.8 98.4 98.6 1991 94.2 93.3 93.2 93.2 92.6 89.2 89.9 89.6 92.6 98.5 97.9 95.4 1992 93.6 92.4 98.6 99.1 99.7 99.9 92.8 99.6 91.9 99.8 99.9 98.0 1993 94.5 94.1 99.6 99.5 100.0 91.9 90.4 91.1 92.9 90.7 92.2 96.1 1994 94.1 97.5 93.7 91.5 88.4 85.6 84.6 85.9 84.3 86.7 91.3 91.4 1995 89.7 89.9 89.5 87.0 83.4 76.1

  5. Percent of Commercial Natural Gas Deliveries in Iowa Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.4 98.4 98.5 98.0 97.0 96.3 95.4 95.0 95.2 96.6 97.6 98.3 1990 98.5 98.2 98.1 97.8 97.3 96.3 95.3 95.6 92.3 95.5 97.5 97.7 1991 98.4 98.4 98.2 97.3 96.7 95.7 94.9 91.5 96.0 96.3 98.5 98.0 1992 97.6 97.4 96.5 96.2 94.3 93.2 91.3 90.6 88.7 91.0 96.1 96.7 1993 96.6 96.6 95.8 96.4 92.9 90.8 90.2 88.3 88.9 92.8 95.2 93.2 1994 92.9 94.3 91.2 90.5 87.9 84.1 81.3 80.0 80.5 86.0 90.4 91.0 1995 91.7 92.0 91.1 88.8 86.1 81.9

  6. Percent of Commercial Natural Gas Deliveries in Kansas Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.8 94.4 94.1 94.6 92.9 89.2 93.7 94.7 91.8 88.9 88.2 92.9 1990 92.7 90.8 90.6 92.6 91.6 93.1 94.3 94.0 93.3 87.0 88.0 89.4 1991 92.5 91.6 87.9 91.2 88.5 87.1 91.3 89.7 86.9 82.0 87.7 85.3 1992 82.9 83.8 83.9 86.8 88.8 86.8 88.4 88.9 86.9 81.1 78.0 82.7 1993 84.3 83.1 86.1 84.4 85.3 83.0 84.4 86.3 81.3 72.2 75.5 79.9 1994 82.2 85.6 82.3 75.3 69.9 70.4 70.9 71.5 71.9 77.1 83.9 79.5 1995 87.8 73.6 83.2 69.5 62.9 64.8

  7. Percent of Commercial Natural Gas Deliveries in Kentucky Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 97.1 96.6 96.4 94.9 91.0 89.2 89.5 88.2 89.8 90.7 94.4 97.0 1990 97.2 96.9 96.3 94.8 91.6 91.6 89.5 89.5 89.1 93.3 95.0 96.2 1991 97.1 95.7 94.7 89.8 86.4 85.5 87.5 88.0 91.1 91.5 95.7 95.5 1992 95.4 94.2 93.6 91.9 87.9 86.9 86.7 87.4 87.9 93.0 94.6 94.9 1993 91.6 91.6 95.3 93.5 92.4 93.5 89.9 81.6 88.1 88.5 94.5 95.4 1994 93.6 95.9 94.6 92.1 88.2 85.4 83.0 83.5 83.4 87.6 87.9 89.9 1995 90.8 91.2 89.9 86.3 87.4 80.6

  8. Percent of Commercial Natural Gas Deliveries in Maryland Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 97.1 96.6 97.1 96.7 95.9 95.1 94.3 94.7 94.1 94.2 94.6 96.8 1990 97.6 97.1 96.0 95.7 94.3 94.5 93.6 93.1 92.6 93.3 94.7 95.6 1991 97.3 97.5 97.1 96.6 95.9 94.8 94.5 94.7 94.1 95.8 96.5 97.4 1992 97.2 97.2 96.3 95.6 94.1 92.8 93.1 92.7 94.1 95.0 97.0 97.4 1993 97.3 97.4 96.5 96.3 94.6 96.2 95.0 93.4 93.4 95.4 97.1 98.1 1994 98.1 98.3 98.2 95.8 95.8 95.4 95.2 94.1 95.2 96.2 96.5 97.8 1995 97.9 98.5 97.8 96.7 95.9 96.2

  9. Percent of Commercial Natural Gas Deliveries in Michigan Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 75.8 74.5 76.0 71.7 64.9 47.6 51.7 50.8 57.5 64.4 69.5 73.5 1990 73.1 74.0 74.5 72.3 67.4 58.1 49.6 51.5 52.2 62.1 70.1 74.6 1991 73.0 72.2 72.4 67.3 62.1 51.2 44.3 41.2 47.5 60.1 87.2 70.0 1992 73.7 74.5 71.4 70.5 66.6 55.5 48.5 51.6 49.9 61.1 68.6 73.1 1993 74.5 72.3 72.6 68.0 63.7 51.6 50.5 54.4 50.9 63.1 68.1 73.1 1994 73.7 71.6 70.8 66.3 60.1 45.7 41.7 42.3 45.4 55.4 63.4 69.8 1995 72.5 72.2 71.2 68.0 61.5 45.8

  10. Percent of Commercial Natural Gas Deliveries in Missouri Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.4 93.9 94.4 93.2 90.7 85.8 86.1 90.5 86.9 88.8 90.3 92.3 1990 93.7 90.7 89.2 88.2 82.5 77.4 70.9 70.8 72.6 74.8 83.8 85.9 1991 90.8 91.1 89.1 82.1 79.0 75.4 71.1 72.2 75.1 75.6 85.9 88.5 1992 89.7 90.1 89.1 88.1 82.7 80.6 71.9 75.8 74.5 76.1 81.0 87.2 1993 87.5 89.2 89.8 88.1 78.0 74.7 72.2 69.2 74.3 73.4 82.3 85.9 1994 88.8 87.2 87.6 85.1 79.0 75.0 70.2 70.0 68.2 70.2 77.0 82.0 1995 87.0 88.9 87.2 83.3 80.9 75.0

  11. Percent of Commercial Natural Gas Deliveries in Montana Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.3 98.9 98.8 98.6 97.4 96.8 96.4 96.3 96.3 97.5 97.9 98.1 1990 97.9 97.8 97.6 98.6 96.9 98.4 96.3 95.8 93.3 96.9 97.6 99.6 1991 98.5 98.1 98.0 97.7 97.8 96.9 95.8 95.8 95.8 96.3 96.5 97.2 1992 97.1 98.0 96.7 96.5 96.6 94.9 95.4 96.8 90.6 92.0 92.8 94.6 1993 95.4 94.0 94.9 93.9 94.9 91.1 91.2 91.2 87.5 88.8 91.5 93.5 1994 92.7 93.0 92.7 91.8 91.9 89.6 88.7 87.8 87.5 89.0 91.2 93.1 1995 93.0 92.5 92.5 91.9 92.0 90.1

  12. Percent of Commercial Natural Gas Deliveries in Nebraska Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 96.8 96.5 97.1 99.8 99.7 99.8 99.9 99.9 99.7 98.8 98.1 98.5 1990 95.6 95.3 94.1 93.2 92.3 89.6 96.9 94.2 93.0 90.2 89.9 93.5 1991 93.6 93.3 91.8 87.9 85.4 88.2 96.4 95.2 85.8 86.1 90.5 91.4 1992 91.7 91.6 89.9 90.9 88.7 81.7 85.6 83.6 80.5 84.5 87.1 90.9 1993 94.1 94.7 94.5 93.4 89.5 88.4 88.1 87.8 82.9 85.2 84.8 92.0 1994 88.2 88.9 85.8 82.3 79.2 72.9 75.9 77.8 65.1 62.2 73.5 80.7 1995 81.4 80.6 79.2 79.8 76.0 71.8

  13. Percent of Commercial Natural Gas Deliveries in Nevada Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.0 98.1 96.9 95.0 94.2 94.3 92.7 91.7 91.2 96.2 97.2 98.8 1990 99.1 99.4 97.7 97.0 96.4 96.7 95.7 95.0 95.1 96.8 98.4 99.1 1991 99.4 99.4 94.3 92.2 90.6 87.2 84.0 85.2 79.5 84.3 82.2 89.0 1992 90.6 89.5 88.3 87.2 83.7 84.0 84.8 81.4 82.7 88.9 88.5 95.4 1993 97.0 96.0 94.3 91.0 92.5 90.6 89.7 86.7 89.6 89.7 90.9 93.5 1994 93.8 89.3 86.1 81.3 80.1 79.6 76.4 74.5 76.4 73.9 76.7 81.4 1995 81.5 83.2 77.4 78.9 77.1 76.5

  14. Percent of Commercial Natural Gas Deliveries in New York Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 90.4 90.1 89.3 85.0 85.4 81.3 78.6 78.2 73.6 74.8 82.4 89.7 1990 90.5 92.3 85.6 85.3 78.9 77.8 80.2 80.1 76.5 75.8 80.7 81.5 1991 86.2 85.4 84.4 81.0 75.8 72.8 76.8 75.1 73.1 75.0 79.5 81.1 1992 81.0 78.9 79.5 77.3 72.4 70.9 72.9 69.3 69.3 76.0 82.6 81.5 1993 81.4 81.5 82.3 77.8 71.3 66.2 69.1 72.1 72.8 74.1 77.9 77.2 1994 83.7 83.4 83.3 77.7 73.4 73.2 74.7 73.4 75.1 76.4 78.0 81.9 1995 80.8 82.8 79.3 76.3 71.7 66.5

  15. Percent of Commercial Natural Gas Deliveries in Ohio Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 87.4 88.1 87.1 86.0 81.2 74.4 75.5 75.0 78.9 85.1 87.8 90.3 1990 89.9 89.2 89.9 86.4 82.4 78.5 77.0 75.6 77.7 83.0 87.9 91.4 1991 91.6 90.0 87.2 83.6 78.6 74.7 75.5 73.7 75.6 82.6 87.8 89.8 1992 89.1 88.0 88.4 85.7 78.9 73.9 72.0 73.5 73.1 84.2 85.7 88.5 1993 89.4 87.0 86.9 83.8 76.1 73.9 74.6 69.4 72.6 82.8 84.5 86.3 1994 87.4 86.5 84.9 78.4 75.9 70.5 66.7 67.5 66.5 75.1 78.7 81.5 1995 81.0 80.0 78.6 76.8 67.8 61.4

  16. Percent of Commercial Natural Gas Deliveries in Oklahoma Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 89.7 90.2 91.7 87.9 89.1 86.6 86.7 85.0 86.8 86.5 89.1 91.2 1990 94.8 93.2 92.0 93.2 92.6 90.6 89.1 89.5 88.5 87.8 89.9 90.6 1991 94.6 95.1 92.9 91.4 90.3 88.7 87.1 85.6 86.8 81.2 87.6 90.6 1992 91.6 92.3 87.7 90.9 85.4 84.1 80.2 85.7 84.3 85.3 86.9 88.1 1993 91.8 92.0 91.7 90.9 89.1 83.1 80.5 82.2 83.4 83.1 91.5 91.9 1994 90.7 93.8 93.1 89.6 88.0 81.3 74.6 73.8 76.1 78.1 85.0 91.2 1995 90.7 89.8 89.7 85.3 84.9 79.3

  17. Percent of Commercial Natural Gas Deliveries in Oregon Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.1 99.2 98.7 98.3 97.6 97.6 97.0 97.2 97.4 96.7 97.3 98.0 1990 98.2 98.6 98.4 97.4 97.4 97.5 96.6 96.6 96.9 95.6 96.5 98.1 1991 98.7 98.3 97.8 97.7 97.5 98.0 97.3 97.2 97.2 95.9 97.6 98.0 1992 98.6 98.4 97.4 97.7 97.7 97.8 97.9 96.7 97.8 94.6 97.4 98.4 1993 98.6 99.0 98.5 98.0 97.6 97.8 97.6 97.5 97.3 93.6 96.5 98.2 1994 98.5 98.6 98.3 97.4 97.6 97.7 98.1 97.7 97.9 97.0 97.8 98.6 1995 98.5 98.5 98.2 98.2 97.9 97.8

  18. Percent of Commercial Natural Gas Deliveries in Texas Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 87.2 92.4 93.7 92.5 90.6 89.6 93.3 91.2 83.1 87.3 87.9 93.2 1990 91.1 90.1 83.9 90.5 90.3 92.3 90.3 90.7 89.1 87.4 88.0 91.5 1991 92.1 91.3 91.8 92.1 87.7 91.4 91.1 90.4 87.3 80.7 84.8 87.6 1992 86.9 85.6 83.4 83.6 79.5 77.8 77.0 75.9 71.9 72.4 75.3 78.6 1993 85.5 86.7 85.6 85.2 80.1 81.0 82.7 85.1 80.7 81.1 84.2 84.0 1994 82.1 81.6 84.0 83.6 73.8 81.6 88.8 82.6 83.3 75.1 78.9 89.0 1995 72.8 71.3 73.6 70.2 55.0 72.7

  19. Percent of Commercial Natural Gas Deliveries in Virginia Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.3 98.4 98.1 97.1 96.4 96.4 93.9 94.1 95.4 93.3 96.4 97.9 1990 97.2 95.9 90.6 86.6 94.2 93.9 94.1 91.9 92.0 92.9 92.5 93.7 1991 95.9 96.9 95.2 93.6 91.8 90.8 91.3 89.5 90.2 92.6 90.9 93.5 1992 94.6 93.3 93.7 91.7 88.9 88.4 86.9 85.9 83.8 89.9 86.6 90.3 1993 90.2 91.8 89.8 87.6 90.1 87.6 85.4 77.2 85.9 79.8 88.8 93.2 1994 95.2 97.2 92.5 82.7 85.1 76.7 82.4 72.9 72.9 76.1 79.4 86.1 1995 90.8 90.0 88.7 77.6 76.2 74.7

  20. Percent of Industrial Natural Gas Deliveries in Alabama Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 26.4 25.4 21.7 22.1 19.5 21.1 21.0 21.8 21.4 20.8 22.1 21.9 2002 24.1 22.3 22.5 20.1 18.3 19.6 20.7 21.4 20.0 21.4 24.2 23.5 2003 22.3 22.2 23.9 21.3 20.5 20.8 21.8 18.1 19.7 19.6 21.6 22.3 2004 22.6 23.2 21.9 19.9 20.2 20.8 19.1 19.9 19.1 19.7 20.2 21.8 2005 22.9 23.8 21.3 23.1 23.1 22.6 24.8 22.8 26.3 23.5 23.2 26.2 2006 22.8 23.1 22.4 24.1 23.9 22.2 22.5 23.0 23.4 24.5 24.6 25.6 2007 24.1 24.8 24.4 23.9 24.8 23.9

  1. Percent of Industrial Natural Gas Deliveries in Georgia Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 28.1 24.7 21.2 18.5 19.8 19.2 17.1 18.0 16.4 17.5 19.5 19.7 2002 20.2 20.6 21.4 19.5 18.0 19.2 17.7 17.9 18.5 18.2 19.4 19.5 2003 16.7 19.1 17.2 16.0 16.8 14.4 12.6 13.4 14.2 15.3 16.5 18.0 2004 18.2 17.2 17.4 15.5 14.9 15.8 15.9 15.1 15.6 13.9 14.0 22.4 2005 19.9 18.4 15.9 17.9 13.7 14.6 12.9 15.6 19.7 18.7 19.4 18.3 2006 18.3 25.0 17.2 12.5 12.7 16.7 15.2 16.2 15.7 18.0 17.8 17.0 2007 17.2 19.3 17.9 18.7 16.7 16.6

  2. Percent of Industrial Natural Gas Deliveries in Idaho Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 3.3 3.2 2.5 2.2 1.9 1.6 1.5 1.8 1.6 1.5 1.8 2.3 2002 2.7 2.9 2.7 2.5 0.9 1.9 1.8 2.0 1.4 1.6 1.3 2.3 2003 2.2 2.5 2.1 1.8 1.7 1.6 2.0 2.2 1.8 2.0 2.4 3.1 2004 3.2 2.9 2.8 2.0 2.1 2.0 1.9 1.9 1.6 1.5 2.5 3.2 2005 3.0 2.7 2.7 2.4 1.8 1.7 1.6 1.6 2.0 1.7 2.4 3.0 2006 2.5 2.6 2.3 2.0 1.8 1.5 1.6 1.6 1.5 2.0 2.3 2.6 2007 2.3 2.1 1.7 1.8 1.7 1.9 1.7 1.5 1.7 2.0 2.2 2.4 2008 2.2 2.3 2.4 1.8 1.4 1.7 1.6 1.9 1.4 1.8 2.3 2.1

  3. Percent of Industrial Natural Gas Deliveries in Illinois Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 14.3 14.6 11.7 8.9 7.1 6.7 5.8 6.1 7.5 8.7 10.3 12.1 2002 11.2 11.2 11.1 10.3 7.6 7.2 3.9 5.4 6.6 9.4 10.7 12.6 2003 13.4 13.4 12.9 9.2 7.9 6.9 5.7 7.6 5.3 9.1 10.5 10.6 2004 13.5 12.0 9.7 8.1 5.8 6.1 6.4 5.7 5.0 8.3 10.4 11.5 2005 12.9 11.8 10.7 8.2 6.0 4.7 6.3 6.0 6.8 10.6 11.6 12.5 2006 12.3 11.9 11.1 8.8 7.4 4.9 5.3 6.4 6.6 8.5 7.7 9.6 2007 11.5 12.7 12.8 10.6 10.3 7.8 6.0 5.4 6.4 7.5 7.7 10.4 2008 11.7 12.9 12.9

  4. Percent of Industrial Natural Gas Deliveries in Indiana Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 15.1 14.0 7.1 7.1 4.2 3.7 5.2 1.0 5.5 8.3 6.6 10.2 2002 8.4 8.1 10.1 6.4 5.3 6.2 5.3 5.9 6.6 12.5 12.6 12.4 2003 14.2 12.9 8.9 7.2 7.0 5.9 6.2 5.7 9.3 6.2 11.3 9.3 2004 9.2 8.9 8.9 6.9 6.4 6.2 6.9 6.5 7.3 7.9 10.4 11.6 2005 9.8 7.7 9.6 5.8 6.3 5.5 5.5 6.7 8.2 8.2 10.6 8.9 2006 8.2 9.3 7.4 4.3 7.0 5.0 6.4 5.9 6.3 8.2 8.3 8.4 2007 9.3 9.4 5.8 7.6 6.1 5.5 6.0 5.0 6.9 6.8 9.5 9.1 2008 8.4 7.5 7.0 6.7 5.5 4.5 4.7 4.7 5.3

  5. Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 27.3 21.8 18.9 13.8 17.8 15.8 17.4 17.4 17.3 19.6 16.5 16.9 2002 16.8 18.2 18.9 17.2 15.5 16.5 18.0 19.1 16.3 18.0 18.8 18.4 2003 20.6 20.1 18.7 19.5 19.2 20.3 16.6 16.0 18.1 18.2 18.1 18.4 2004 18.8 18.3 16.3 16.0 14.6 16.6 16.2 15.2 15.5 15.6 17.5 20.3 2005 16.5 17.5 17.3 16.0 15.8 15.2 16.1 14.9 17.4 17.9 17.2 19.7 2006 15.6 16.9 17.6 14.8 14.9 14.2 16.0 15.7 14.6 15.7 15.5 17.6 2007 16.6 18.1 17.0 17.7 16.1 17.5

  6. Percent of Industrial Natural Gas Deliveries in Maryland Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 15.4 11.4 9.7 7.2 6.7 4.5 9.7 6.3 6.3 7.0 6.6 10.3 2002 10.3 11.3 13.0 5.3 5.8 6.0 4.5 5.8 4.3 6.9 7.1 11.9 2003 10.5 13.2 11.4 9.1 7.8 6.6 6.3 6.2 7.1 12.1 11.9 12.9 2004 11.2 10.7 8.8 9.1 6.4 4.7 5.0 5.6 7.2 7.2 9.4 10.9 2005 11.3 11.5 11.3 9.8 5.5 5.1 4.9 5.3 5.2 6.2 9.4 10.7 2006 8.7 10.4 8.9 6.1 4.5 4.4 3.7 3.9 6.5 5.8 7.7 9.2 2007 13.1 13.7 11.0 9.9 6.1 3.7 4.5 3.8 6.9 3.5 8.4 10.4 2008 9.5 10.4 7.5 6.6 4.7 3.1

  7. Percent of Industrial Natural Gas Deliveries in Michigan Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 18.6 17.2 15.3 13.3 9.0 5.7 5.4 5.8 6.0 7.3 9.9 12.0 2002 14.4 13.3 14.0 11.4 8.1 5.7 4.3 5.2 3.9 6.5 10.9 17.6 2003 15.4 14.6 15.1 11.9 8.7 5.9 6.1 3.8 6.7 6.9 9.6 14.4 2004 14.6 15.9 18.0 11.4 7.4 5.7 5.0 4.9 5.0 6.1 9.2 13.3 2005 14.3 17.0 15.8 10.7 8.1 5.3 4.0 3.8 4.6 7.2 9.8 13.8 2006 15.4 16.4 13.5 10.8 7.3 5.1 3.8 4.5 5.2 7.0 10.6 13.6 2007 14.8 17.3 16.9 13.5 11.5 8.4 6.3 6.0 6.2 7.4 11.4 16.6 2008 16.4 17.4

  8. Percent of Industrial Natural Gas Deliveries in Missouri Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 25.6 17.3 19.1 14.4 11.1 10.2 9.5 8.1 9.5 10.2 12.4 32.9 2002 21.7 26.8 26.8 15.8 10.2 9.8 9.3 9.8 10.9 9.0 14.0 18.7 2003 18.8 21.0 19.0 13.6 12.1 12.4 12.5 8.8 10.3 11.1 13.1 16.8 2004 17.4 20.0 16.1 14.7 11.4 10.1 9.6 9.7 10.5 11.0 12.6 15.4 2005 20.1 18.4 16.4 13.9 11.9 9.6 10.1 9.4 10.5 11.2 13.0 17.9 2006 17.2 17.0 14.8 13.7 10.5 10.2 9.9 9.6 10.2 10.8 13.2 16.7 2007 15.4 18.5 16.7 12.3 10.6 10.1 9.7 8.4 8.7 10.3

  9. Percent of Industrial Natural Gas Deliveries in Montana Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 3.0 3.1 2.8 2.6 2.3 1.9 0.9 0.8 1.0 1.2 1.9 3.0 2002 3.0 2.9 3.6 2.3 2.0 1.2 0.9 0.7 0.8 1.1 2.1 3.4 2003 2.9 2.8 3.3 2.1 1.8 1.0 1.0 0.8 0.8 0.6 1.2 1.6 2004 1.8 2.4 1.9 1.0 1.5 1.4 1.1 0.7 0.8 1.1 1.8 2.4 2005 3.1 2.9 2.2 2.3 1.8 1.4 0.9 0.6 0.7 1.0 1.3 2.3 2006 1.3 1.0 1.1 0.9 0.6 0.4 0.2 0.1 0.2 0.3 0.6 1.0 2007 1.0 1.2 0.9 0.9 0.5 0.4 0.3 0.3 0.4 0.5 0.7 1.0 2008 1.3 1.4 1.8 1.1 0.9 0.5 0.6 0.5 0.5 0.4 0.8 0.9

  10. Percent of Industrial Natural Gas Deliveries in Nebraska Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 25.7 29.6 30.3 21.0 19.7 16.7 8.3 12.9 13.3 18.6 12.0 18.7 2002 22.6 19.5 29.3 17.6 15.0 24.0 7.4 8.4 8.8 16.4 18.9 19.6 2003 20.3 22.7 24.9 19.3 17.1 24.1 8.7 9.7 10.9 15.7 17.7 19.4 2004 19.7 21.4 24.7 19.0 18.3 14.2 9.2 10.6 16.5 18.8 16.0 16.6 2005 24.4 20.0 24.6 18.5 19.0 18.2 10.0 8.6 12.9 15.1 14.2 18.3 2006 13.8 15.1 17.1 13.3 13.0 9.8 8.3 7.7 10.5 11.5 10.2 12.4 2007 12.1 13.0 14.5 11.6 9.7 8.9 7.1 6.4 6.9 9.8

  11. Percent of Industrial Natural Gas Deliveries in North Dakota Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 15.2 13.8 16.8 8.2 5.8 5.5 1.1 4.7 8.0 12.1 13.4 17.9 2002 9.8 10.6 12.6 10.1 7.4 4.8 5.1 5.2 6.7 11.6 14.4 13.2 2003 35.1 44.0 60.0 30.9 17.9 17.7 25.0 32.3 22.3 25.2 44.1 87.2 2004 54.7 46.4 57.3 56.1 36.3 16.0 13.5 58.7 63.2 58.6 55.3 53.4 2005 25.1 17.0 17.7 14.7 9.6 4.4 10.3 15.1 51.6 58.4 45.9 23.2 2006 26.1 18.4 28.8 53.1 58.6 61.2 13.1 13.9 43.4 56.3 52.6 19.1 2007 26.6 28.8 24.7 58.5 61.4 46.9 11.0 38.6

  12. Percent of Industrial Natural Gas Deliveries in Ohio Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 13.1 9.8 10.4 6.2 3.9 3.4 1.5 4.8 1.2 2.9 5.6 6.4 2002 5.4 6.2 5.4 4.8 1.9 1.7 1.6 2.1 2.5 2.3 4.9 6.7 2003 6.3 7.0 5.4 4.0 1.8 2.4 2.0 1.7 1.7 2.4 3.3 4.6 2004 5.1 5.7 4.0 3.8 2.1 2.3 1.7 2.3 2.2 2.7 3.4 4.5 2005 5.7 6.6 4.5 2.6 2.0 1.6 2.1 2.0 1.9 2.6 3.3 4.8 2006 4.6 4.7 4.0 2.7 2.1 2.2 2.2 2.1 2.2 2.2 3.0 3.5 2007 3.9 4.8 3.5 2.6 1.8 1.8 1.9 1.4 1.5 1.2 2.2 3.7 2008 3.9 4.2 3.5 2.5 1.1 1.7 1.9 1.4 1.4 1.6 2.7 4.1

  13. Percent of Industrial Natural Gas Deliveries in Oregon Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 27.2 17.0 18.7 20.3 20.5 20.7 23.5 26.8 24.2 21.1 20.6 21.4 2002 18.9 20.8 20.3 19.3 12.6 11.1 10.1 8.9 10.8 11.5 12.6 12.8 2003 13.8 14.3 13.8 12.7 16.1 16.2 15.5 15.6 19.2 21.1 24.5 25.4 2004 25.1 24.3 24.2 23.3 21.8 22.9 22.6 22.1 23.8 23.5 31.1 33.4 2005 34.3 34.3 32.7 31.0 30.2 30.1 31.4 32.1 33.6 35.0 34.8 38.2 2006 36.0 36.3 35.1 26.5 25.4 24.3 23.2 21.2 21.6 20.5 21.5 24.0 2007 23.6 24.3 22.9 21.8 20.8 21.8

  14. Percent of Industrial Natural Gas Deliveries in Rhode Island Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 41.4 29.5 26.1 37.6 29.0 29.3 26.0 26.2 22.4 26.8 29.3 13.6 2002 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 2003 15.7 18.9 21.5 19.6 26.7 11.7 16.8 18.8 18.6 22.1 18.5 22.3 2004 13.9 16.7 14.5 16.8 21.1 11.7 16.7 15.3 16.0 19.4 10.5 23.0 2005 17.8 14.7 15.9 11.0 16.3 16.5 12.9 13.8 16.3 13.2 16.5 19.7 2006 18.6 18.7 16.4 15.0 12.5 13.3 8.8 10.5 11.4 12.8 10.5 15.7 2007 13.0 19.0 15.1 12.7 10.1 14.3

  15. Percent of Industrial Natural Gas Deliveries in South Dakota Represented by

    Energy Information Administration (EIA) (indexed site)

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 51.1 54.8 52.4 50.8 35.1 32.7 28.6 26.5 24.1 33.3 45.5 44.5 2002 16.4 18.6 13.2 18.4 14.1 10.7 9.5 9.0 19.5 27.6 30.6 34.9 2003 26.3 24.4 27.3 26.0 23.9 22.4 24.7 23.3 25.3 24.8 26.8 29.1 2004 29.0 28.5 30.0 24.4 26.1 28.2 22.6 27.6 24.8 27.2 33.3 31.0 2005 28.5 28.0 33.6 26.7 31.6 26.1 28.9 31.7 27.8 30.4 33.3 35.8 2006 38.6 36.4 37.5 31.3 39.2 30.3 27.6 30.1 27.8 31.5 33.7 35.4 2007 33.8 31.8 31.3 15.2 16.2 12.1

  16. Percent of Industrial Natural Gas Deliveries in Texas Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 35.8 35.7 33.7 34.2 32.9 34.2 36.5 34.8 37.5 36.0 35.1 34.5 2002 30.8 32.1 30.6 50.7 45.4 50.5 49.5 46.5 46.3 43.4 43.8 44.8 2003 40.1 39.5 39.1 39.5 39.8 36.1 50.7 46.2 49.0 47.8 47.2 48.2 2004 48.4 49.3 46.7 49.4 49.0 51.9 51.3 49.9 47.4 46.0 46.6 48.9 2005 58.7 57.0 56.9 55.8 55.8 54.9 56.8 55.0 52.5 49.7 51.1 49.5 2006 52.1 52.1 54.8 55.6 55.3 54.7 58.1 57.4 54.1 57.9 56.5 55.6 2007 52.7 51.6 52.4 53.0 54.2 56.0

  17. Percent of Industrial Natural Gas Deliveries in Utah Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 11.9 9.2 10.7 10.1 9.5 9.5 10.1 11.5 9.4 9.2 11.0 13.8 2002 14.0 13.8 12.6 15.8 13.0 13.4 12.1 13.6 13.5 12.8 15.0 13.7 2003 14.5 14.6 13.1 14.9 14.1 13.2 11.8 12.7 13.8 13.9 13.2 13.1 2004 13.8 15.2 13.3 14.6 12.7 12.7 18.4 46.5 26.9 24.3 23.4 23.8 2005 18.4 18.6 18.4 17.7 18.6 21.3 20.0 21.2 21.3 21.5 18.3 19.9 2006 22.3 23.2 22.5 24.0 24.0 24.7 24.2 13.9 13.4 15.3 15.8 16.0 2007 14.4 13.6 14.4 14.6 13.3 12.7 14.5

  18. Percent of Industrial Natural Gas Deliveries in Vermont Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 95.2 80.1 79.2 79.2 69.2 67.8 65.6 67.7 70.7 73.3 76.0 79.0 2002 77.7 78.3 78.6 78.2 72.6 66.8 66.7 65.1 66.8 72.6 76.2 85.5 2003 87.3 100.0 100.0 75.7 74.2 72.4 75.0 67.7 70.4 73.2 77.4 80.1 2004 79.9 84.7 80.7 82.2 78.6 73.8 70.0 68.3 69.2 76.4 82.1 83.7 2005 83.6 86.4 82.6 78.0 74.4 71.5 72.1 83.9 94.3 82.4 75.7 96.4 2006 93.0 87.6 82.4 77.2 73.3 72.9 71.7 69.7 71.5 76.3 75.1 79.5 2007 83.0 84.1 81.8 76.2 72.2 71.7

  19. Percent of Industrial Natural Gas Deliveries in Virginia Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 27.4 24.1 20.8 18.6 13.3 23.5 10.9 12.9 15.0 24.1 11.2 15.4 2002 16.8 19.7 18.3 14.0 14.1 10.8 10.7 11.0 13.2 16.0 19.3 22.9 2003 25.6 22.5 16.5 23.9 12.9 9.1 13.4 19.6 12.6 17.7 17.9 17.0 2004 21.5 18.8 18.7 16.8 14.9 11.2 15.6 14.5 8.9 15.1 16.1 21.1 2005 18.3 21.6 18.1 19.3 15.7 16.6 9.5 11.6 16.0 18.7 21.5 20.0 2006 21.6 17.0 16.0 13.2 13.8 10.4 9.5 8.0 12.7 14.5 16.0 15.7 2007 17.0 20.0 17.1 17.2 15.4 9.5 10.3

  20. Percent of Industrial Natural Gas Deliveries in Wyoming Represented by the

    Energy Information Administration (EIA) (indexed site)

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 3.6 3.9 3.7 2.8 1.9 2.1 1.8 2.0 2.0 2.3 2.2 1.8 2002 3.3 3.6 3.6 3.0 3.6 2.4 2.6 2.8 2.8 3.2 2.1 2.5 2003 2.4 2.4 2.1 1.8 1.4 1.4 1.4 1.3 1.4 1.4 2.2 2.0 2004 2.0 1.9 2.2 1.9 1.9 1.9 2.7 1.7 2.3 2.0 2.3 2.4 2005 2.8 5.0 5.8 4.5 4.1 3.5 2.8 2.5 2.5 2.8 4.2 4.4 2006 4.4 4.5 4.2 3.9 3.3 2.7 2.2 2.3 2.8 3.3 3.8 3.7 2007 4.3 4.1 3.4 3.7 2.8 2.0 1.5 1.7 1.9 2.9 3.3 3.3 2008 3.8 3.7 3.9 3.9 2.9 2.1 2.0 1.7 2.5 3.0 3.6 3.9

  1. Effective Energy Behavior Change for Low-Income Weatherization Clients

    Office of Energy Efficiency and Renewable Energy (EERE)

    This document contains the transcript for the Effective Energy Behavior Change for Low-Income Weatherization Clients webinar presented on May 31, 2012.

  2. Approaches to Electric Utility Energy Efficiency for Low Income...

    OpenEI (Open Energy Information) [EERE & EIA]

    Approaches to Electric Utility Energy Efficiency for Low Income Customers in a Changing Regulatory Environment Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Approaches...

  3. Better Buildings Residential Network Multi-Family/ Low Income...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... INHP decided to find the expertise * Strong partner with a local utility * Contracted ... housing for: * low and moderate income families, * the elderly, * individuals with ...

  4. The Denver Energy Challenge-- Serving Moderate Income Residents

    Energy.gov [DOE]

    Provides an overview of the Denver Energy Challenge and how services were expanded to moderate income residents including challenges and next steps.

  5. Shared Renewable Energy for Low-to-Moderate Income Consumers...

    Energy.gov [DOE] (indexed site)

    The Shared Renewable Energy for Low-to Moderate-Income Consumers: Policy Guidelines and ... regulators, utilities, shared renewable energy developers, program ...

  6. Alternative Energy and Energy Conservation Patent Income Tax...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Personal) Alternative Energy and Energy Conservation Patent Income Tax Deduction (Personal) < Back Eligibility Residential Savings Category Solar - Passive Solar Water Heat Solar...

  7. Alternative Energy and Energy Conservation Patent Income Tax...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Corporate) Alternative Energy and Energy Conservation Patent Income Tax Deduction (Corporate) < Back Eligibility Commercial Savings Category Solar - Passive Solar Water Heat Solar...

  8. Better Buildings Program San Jose -- Serving Moderate Income...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Better Buildings Program San Jose -- Serving Moderate Income Residents Provides an overview of the program components and goals, including the whole neighborhood approach pilot ...

  9. State taxation of multijurisdictional corporate income

    SciTech Connect

    Goldstein, A.M.; Staton, W.C.; Porcano, T.M.; Litka, M.

    1985-12-01

    This article analyzes the taxation methods used by the states and describes what constitutes a unitary business. The authors give a historical perspective of the relevant court decisions in this area. The fact that almost 40% of the Supreme Court cases addressing this issue involve large oil companies illustrates the importance of this area to oil companies. The authors discuss the need for uniformity in state laws and the need for congressional action after the case analysis. They note the reluctance and sometimes refusal of many corporations to furnish the information needed to determine unitary issues, and cite the questionnaires some states require the corporations to file. They also cite the fairness issue when only some states tax foreign income. Congress appears to be in the best position to evaluate the multiple factors and assess the arguments surrounding the policy issues.

  10. A material flow analysis on current electrical and electronic waste disposal from Hong Kong households

    SciTech Connect

    Lau, Winifred Ka-Yan; Chung, Shan-Shan; Zhang, Chan

    2013-03-15

    Highlights: ► Most household TWARC waste is sold directly to private e-waste collectors in HK. ► The current e-waste recycling network is popular with HK households. ► About 80% of household generated TWARC is exported overseas each year. ► Over 7000 tonnes/yr of household generated TWARC reach landfills. ► It is necessary to upgrade safety and awareness in HK’s e-waste recycling industry. - Abstract: A material flow study on five types of household electrical and electronic equipment, namely television, washing machine, air conditioner, refrigerator and personal computer (TWARC) was conducted to assist the Government of Hong Kong to establish an e-waste take-back system. This study is the first systematic attempt on identifying key TWARC waste disposal outlets and trade practices of key parties involved in Hong Kong. Results from two questionnaire surveys, on local households and private e-waste traders, were used to establish the material flow of household TWARC waste. The study revealed that the majority of obsolete TWARC were sold by households to private e-waste collectors and that the current e-waste collection network is efficient and popular with local households. However, about 65,000 tonnes/yr or 80% of household generated TWARC waste are being exported overseas by private e-waste traders, with some believed to be imported into developing countries where crude recycling methods are practiced. Should Hong Kong establish a formal recycling network with tight regulatory control on imports and exports, the potential risks of current e-waste recycling practices on e-waste recycling workers, local residents and the environment can be greatly reduced.

  11. Better Buildings Challenge: Clean Energy Low Income Accelerator

    Energy.gov [DOE]

    This program aims to lower energy bills in low-income communities through the expanded installation of energy efficiency and distributed renewables. Partners are able to leverage the experience of others who are concurrently developing new partnerships, investigating successful models, and developing local plans that could meet state or local climate and energy goals for low income communities.

  12. Taxation of foreign oil and gas income: a primer

    SciTech Connect

    Lashbrooke, E.C. Jr.

    1983-06-01

    The United States, just like many other countries of the world, uses the source of income, residence, citizenship, or a combination thereof as its bases of taxation. This makes double taxation, the result of a home and host countries both taxing the same income, an obstacle in the way of international investment and technology. Allowing a tax credit for certain taxes paid to foreign sovereigns is the American approach to help alleviate the double taxation problem. Special effort is taken to define foreign oil and gas extraction income (FOGEI) and foreign oil-related income (FORI) as they pertain to taxation. Several examples illustrate the latest means for calculating FOGEI and FORI taxable income based on the 1982 and 1983 limitations and provisions which were set forth in the Internal Revenue Code. 175 references.

  13. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect

    Sparn, B.; Jin, X.; Earle, L.

    2013-10-01

    With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses. The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

  14. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect

    Sparn, B.; Jin, X.; Earle, L.

    2013-10-01

    With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses.The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

  15. Household heating bills expected to be higher than last winter, mainly driven by colder weather

    Energy Information Administration (EIA) (indexed site)

    Household heating bills expected to be higher than last winter, mainly driven by colder weather U.S. households are expected to pay higher heating bills this winter compared to last winter mainly because the weather is forecast to be colder than the relatively mild weather seen last winter and fuel prices are forecast to be higher. In its new forecast, the U.S. Energy Information Administration said households using heating oil will see a 38% jump in their heating fuel expenditures while propane

  16. Fact #616: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    | Department of Energy 6: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose Fact #616: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose In 2009, getting to and from work accounted for about 27% of household vehicle-miles of travel (VMT). Work-related business was 8.4% of VMT in 2001, but declined to 6.7% in 2009, possibly due to advancements in computing technology making it possible for more business to be handled electronically. VMT for shopping was almost

  17. How Do You Encourage Everyone in Your Household to Save Energy?

    Energy.gov [DOE]

    Anyone who has decided to save energy at home knows that the entire household needs to be involved if you really want to see savings. Some people—be they roommates, spouses, children, or maybe even...

  18. Drivers of U.S. Household Energy Consumption, 1980-2009

    Energy Information Administration (EIA) (indexed site)

    Drivers of U.S. Household Energy Consumption, 1980-2009 February 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy ...

  19. Tailored Marketing for Low-income and Under-Represented Population...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Tailored Marketing for Low-income and Under-Represented Population Segments (201) Tailored Marketing for Low-income and Under-Represented Population Segments (201) Better Buildings ...

  20. Residential Network Members Impact More Than 42,000 Households | Department

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Energy Impact More Than 42,000 Households Residential Network Members Impact More Than 42,000 Households Photo of a row of townhomes. Eligible Better Buildings Residential Network members reported completing 27,563 home energy upgrades during 2013 as part of the Residential Network's first reporting cycle. In addition, 13 Better Buildings Neighborhood Program partners completed 12,166 home energy upgrades, and six Home Performance with ENERGY STAR® Sponsors completed 2,540 home energy