Dataset and details can be found at the US Energy Information Admininstration (EIA)'s RBECs website

Context

EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Traditionally, specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. For the 2015 survey cycle, EIA used Web and mail forms, in addition to in-person interviews, to collect detailed information on household energy characteristics. This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses — information critical to meeting future energy demand and improving efficiency and building design.

First conducted in 1978, the fourteenth RECS collected data from more than 5,600 households in housing units statistically selected to represent the 118.2 million housing units that are occupied as a primary residence. Data from the 2015 RECS are tabulated by geography and for particularly characteristics, such as housing unit type and income, that are of particular interest to energy analysis.

The results of each RECS include data tables, a microdata file, and a series of reports. Data tables are generally organized across two headings; "Household Characteristics" and "Consumption & Expenditures." See RECS data tables.

The RECS and many of the EIA supplier surveys are integral ingredients for some of EIA's more comprehensive data products and reports, such as the Annual Energy Outlook (AEO) and Monthly Energy Review (MER). These products allow for broader comparisons across sectors, as well as projections of future consumption trends.

Content

The Residential Energy Consumption Survey (RECS) is a periodic study conducted by the U.S. Energy Information Administration (EIA) that provides detailed information about energy usage in U.S. homes. RECS is a multi-year effort (Figure 1) consisting of a Household Survey phase, data collection from household energy suppliers, and end-use consumption and expenditures estimation.

The Household Survey collects data on energy-related characteristics and usage patterns of a national representative sample of housing units. The Energy Supplier Survey (ESS) collects data on how much electricity, natural gas, propane/LPG, fuel oil, and kerosene were consumed in the sampled housing units during the reference year. It also collects data on actual dollar amounts spent on these energy sources.

EIA uses models (energy engineering-based models in the 2015 survey and non-linear statistical models in past RECS) to produce consumption and expenditures estimates for heating, cooling, refrigeration, and other end uses in all housing units occupied as a primary residence in the United States. Originally conducted by trained interviewers with paper and pencil, the 2015 study used a combination of computer-assisted personal interview (CAPI), web, and mail modes to collect data for the Household and Energy Supplier Surveys.

Banner image credit: https://www.flickr.com/photos/caribb/1518299093

The Building Energy Data Book (2011) is a compendium of data from a variety of data sets and includes statistics on residential and commercial building energy consumption. Data tables contain statistics related to construction, building technologies, energy consumption, and building characteristics. The Building Technologies Office (BTO) within the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy developed this resource to provide a comprehensive set of buildings- and energy-related data.

The Data Book has not been updated since 2011.

The data sets comprising the Data Book are now publicly available in user-friendly formats and you can use them to find data relevant to your questions. Please find below a list of Energy Information Administration (EIA) data sets that BTO consults:

• Annual Energy Outlook

  Projections in the Annual Energy Outlook 2015 (AEO2015) focus on the factors expected to shape U.S. energy markets through 2040.

• Monthly Energy Review

  A publication of recent and historical energy statistics.

• Residential Energy Consumption Survey (RECS)

  A nationally representative sample of housing units that specially trained interviewers collect energy characteristics, usage patterns, and household demographics.

• Commercial Buildings Energy Consumption Survey (CBECS)

  A national sample survey that collects information on the stock of U.S. commercial buildings, including their energy-related building characteristics and energy usage data.

Questions about the above resources can be directed to the relevant EIA subject matter expert.

Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. The thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review, published by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). Results are expressed in terms of heat energy obtained from each fuel type. These energy values were obtained from the State Energy Data Report (EIA, 2003a), ( http://www.eia.doe.gov/emeu/states/sep_use/total/csv/use_csv.html), and served as our basic input. The energy data are also available in hard copy from the Energy Information Administration, U.S. Department of Energy, as the State Energy Data Report (EIA, 2003a,b).For access to the data files, click this link to the CDIAC data transition website: http://cdiac.ess-dive.lbl.gov/trends/emis_mon/stateemis/emis_state.html

Data on Energy by Our World in Data

Our complete Energy dataset is a collection of key metrics maintained by Our World in Data. It is updated regularly and includes data on energy consumption (primary energy, per capita, and growth rates), energy mix, electricity mix and other relevant metrics.

The complete Our World in Data Energy dataset

🗂️ Download our complete Energy dataset : CSV | XLSX | JSON

The CSV and XLSX files follow a format of 1 row per location and year. The JSON version is split by country, with an array of yearly records.

The variables represent all of our main data related to energy consumption, energy mix, electricity mix as well as other variables of potential interest.

We will continue to publish updated data on energy as it becomes available. Most metrics are published on an annual basis.

A full codebook is made available, with a description and source for each variable in the dataset.

Our source data and code

The dataset is built upon a number of datasets and processing steps: - Statistical review of world energy (Energy Institute, EI): - Source data - Ingestion code - Basic processing code - Further processing code - International energy data (U.S. Energy Information Administration, EIA): - Source data - Ingestion code - Basic processing code - Further processing code - Energy from fossil fuels (The Shift Dataportal): - Source data - Ingestion code - Basic processing code - Further processing code - Yearly Electricity Data (Ember): - Source data - Ingestion code - Basic processing code - Further processing code - European Electricity Review (Ember): - Source data - Ingestion code - Basic processing code - Further processing code - Combined Electricity (Our World in Data based on Ember's Yearly Electricity Data and European Electricity Review): - Processing code - Energy mix (Our World in Data based on EI's Statistical review of world energy): - Processing code - Fossil fuel production (Our World in Data based on EI's Statistical review of world energy & The Shift Dataportal's Energy from fossil fuels): - Processing code - Primary energy consumption (Our World in Data based on EI's Statistical review of world energy &...

Estimates of monthly CO2 emissions and associated 13C/12C values from fossil-fuel consumption in the United States are available for the years 1981-2002. These estimates were derived from values of fuel consumed, multiplied by their respective thermal conversion factors, and expressed in units of heat energy derived from the fuel. [Thermal conversion factors are given in Appendix A of each issue of Monthly Energy Review (DOE/EIA, monthly).] These energy values were then multiplied by their respective carbon dioxide emission factors and expressed in units of the mass of carbon emitted per unit of energy liberated by the oxidation of the carbon in the fuel. [Carbon dioxide emission factors are given in Table A of EPA (2002).] Product specific emissions factors were used for the myriad of petroleum products. Finally, the results were multiplied by a factor (EPA, 2002, Table A-14, except for natural gas) to account for carbon not oxidized during combustion but released as soot, ash, or long-lived hydrocarbons.

Several petroleum products have applications not related to energy production and are not oxidized immediately when the products are consumed; these include asphalt, waxes, petroleum coke, special naphtha, etc. In some cases (e.g., waxes) virtually no carbon is oxidized during use; in other cases (e.g., petroleum coke) a substantial fraction (e.g., estimated 50%) of the carbon is oxidized during use; and for some products (e.g. special naphtha), virtually all the carbon is oxidized within the time frame of interest. The oxidized fractions used to estimate the amounts of carbon dioxide released during consumption are given in Annex B of EPA 2002 (Table B-1).

Although C emissions occur largely in the form of CO2, results are presented here in terms of the mass of C only. (To convert to mass of CO2, multiply the mass of C by 44/12). The authors assume that any C emitted to the atmosphere as CO will be soon oxidized to CO2.

13C values for each month were also estimated. Finally, differences from other CDIAC CO2 emissions estimates (e.g., Marland et al., 2002) are explained in the documentation.

These estimates show an annual cycle of CO2 emissions, peaking during the winter months and reflecting natural gas consumption, and a semi-annual cycle of lesser amplitude, peaking in summer and winter and reflecting coal consumption, comprise the dominant features of the annual pattern. There were relatively constant emissions until 1987, followed by an increase from 1987-1989, a decrease in 1990-1991, and record highs during the late 1990s; emissions have declined somewhat since 2000.

This EnviroAtlas dataset is a summary of the thermoelectric water consumption based on the December 2016 US Energy Information Administration (EIA) monthly electric generator inventory, a 2014 review of water consumption for electricity generation (Macknick et al.), and reported water consumption estimates from a 2009 Department of Energy (DOE) report. The file contains total water withdrawal and consumption in gallons per year by 12-digit hydrologic unit codes (HUC_12s) from the boundary file named NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).