State-level data on all energy sources. Data on production, consumption, reserves, stocks, prices, imports, and exports. Data are collated from state-specific data reported elsewhere on the EIA website and are the most recent values available. Data on U.S. territories also available.

The City and County Energy Profiles lookup table provides modeled electricity and natural gas consumption and expenditures, on-road vehicle fuel consumption, vehicle miles traveled, and associated emissions for each U.S. city and county. Please note this data is modeled and more precise data may be available from regional, state, or other sources. The modeling approach for electricity and natural gas is described in Sector-Specific Methodologies for Subnational Energy Modeling: https://www.nrel.gov/docs/fy19osti/72748.pdf. This data is part of a suite of state and local energy profile data available at the "State and Local Energy Profile Data Suite" link below and complements the wealth of data, maps, and charts on the State and Local Planning for Energy (SLOPE) platform, available at the "Explore State and Local Energy Data on SLOPE" link below. Examples of how to use the data to inform energy planning can be found at the "Example Uses" link below.

United States US: Electricity Production From Coal Sources: % of Total data was reported at 34.233 % in 2015. This records a decrease from the previous number of 39.651 % for 2014. United States US: Electricity Production From Coal Sources: % of Total data is updated yearly, averaging 51.846 % from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 57.679 % in 1988 and a record low of 34.233 % in 2015. United States US: Electricity Production From Coal Sources: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Energy Production and Consumption. Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, and blast furnace gas). Peat is also included in this category.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Electricity production shares may not sum to 100 percent because other sources of generated electricity (such as geothermal, solar, and wind) are not shown. Restricted use: Please contact the International Energy Agency for third-party use of these data.

The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 – 2009 for production and consumption estimates and from 1970 – 2009 for price and expenditure estimates. The multi-dimensional nature of this EIA dataset allows users to make comparisons across States, energy sources, sectors, and over time.

Related Links

http://www.eia.gov/state/seds/">Link to state SEDS

http://www.eia.gov/state/seds/seds-technical-notes-complete.cfm">SEDS documentation

http://www.eia.gov/state/seds/seds-data-complete.cfm">Complete SEDS data tables and files

The dataset contains information on the U.S. electricity generation mix, including the percentage of electricity generated from various energy sources.

Monthly data since January 1973 and annual data since 1949 on U.S. primary and total energy consumption by end-use sector (residential, commercial, industrial, transportation) and electric power sector.

This deposit combines data from https://doi.org/10.3886/E146782V1 and https://doi.org/10.3886/E146801V1 to produce files containing the hourly generation, costs, and capacities of virtually all power plants in the lower 48 United States between 1999-2012 for their use in "Data and Code for: Imperfect Markets versus Imperfect Regulation in U.S. Electricity Generation" (https://doi.org/10.3886/E115467V1).

Power Plants in the U.S.This feature layer, utilizing data from the Energy Information Administration (EIA), depicts all operable electric generating plants by energy source in the U.S. This includes plants that are operating, on standby, or short- or long-term out of service. The data covers all plants with a combined nameplate capacity of 1 MW (Megawatt) or more.Per EIA, "The United States uses many different energy sources and technologies to generate electricity. The sources and technologies have changed over time, and some are used more than others. The three major categories of energy for electricity generation are fossil fuels (coal, natural gas, and petroleum), nuclear energy, and renewable energy sources. Most electricity is generated with steam turbines using fossil fuels, nuclear, biomass, geothermal, and solar thermal energy. Other major electricity generation technologies include gas turbines, hydro turbines, wind turbines, and solar photovoltaics."Madison Gas & Electric Company, Sycamore Power PlantData currency: This cached Esri service is checked monthly for updates from its federal source (Power Plants)Data modification: NoneFor more information, please visit:Electricity ExplainedEIA-860, Annual Electric Generator ReportEIA-860M, Monthly Update to the Annual Electric Generator ReportEIA-923, Power Plant Operations ReportSupport documentation: MetadataFor feedback: ArcGIScomNationalMaps@esri.comEnergy Information AdministrationPer EIA, "The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment."

Global primary energy consumption has increased dramatically in recent years and is projected to continue to increase until 2045. Only renewable energy consumption is expected to increase between 2045 and 2050 and reach almost 30 percent of the global energy consumption. Energy consumption by country The distribution of energy consumption globally is disproportionately high among some countries. China, the United States, and India were by far the largest consumers of primary energy globally. On a per capita basis, Qatar, Singapore, the United Arab Emirates, and Iceland had the highest per capita energy consumption. Renewable energy consumption Over the last two decades, renewable electricity consumption has increased to reach over 48.8 exajoules in 2024. Among all countries globally, China had the largest installed renewable energy capacity as of that year, followed by the United States.

This dataset lists the total energy sources (in TWh) consumed for each country in Europe, by source over time from 1980 to 2016.Sources: U.S. Energy Information Administration, via theshiftdataportal.org, accessed April 7 2021.US EIA Historical Statistics for 1980-2016Energy Information Administration, accessed on 2019-06-05GPD Data: World Bank, accessed on 2019-05-02Population data: Free data from Gapminder.org, accessed on 2019-09-10

United States US: Electricity Production From Oil Sources: % of Total data was reported at 0.904 % in 2015. This records a decrease from the previous number of 0.923 % for 2014. United States US: Electricity Production From Oil Sources: % of Total data is updated yearly, averaging 4.834 % from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 17.167 % in 1977 and a record low of 0.774 % in 2012. United States US: Electricity Production From Oil Sources: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Energy Production and Consumption. Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Electricity production shares may not sum to 100 percent because other sources of generated electricity (such as geothermal, solar, and wind) are not shown. Restricted use: Please contact the International Energy Agency for third-party use of these data.

Description

This dataset, provided by the U.S. Energy Information Administration (EIA) in the Electric Power Monthly report, contains monthly data on wind energy production and other renewables in the United States.

Usage / Content

The dataset is a simple .csv file that could be read thanks to pandas python package : - Data Format: CSV - Data Volume: ~1 MB per month

import pandas as pd
df = pd.read_csv('/kaggle/working/wind-power-production-us/wind-power-production-us.csv')

Here is some other informations about the variables available : - Time Range: January 2001 to the latest month available - Geographic Coverage: United States - Granularity: Monthly - Variables: - "date": Month and year - "wind_state_name" : wind power production for the current state - "other_state_name" : production for all other renewables sources for the current state

Potential Uses

• Conducting time series analysis to forecast wind energy production and capacity factors
• Performing exploratory data analysis to identify trends and patterns in wind energy production
• Comparing wind energy production to other electricity generation sources to inform policy decisions
• Modeling wind energy production and capacity factors for forecasting and planning purposes
• Evaluating the impact of policy changes on wind energy production in the United States

This dataset is about countries in Central America. It has 8 rows. It features 3 columns: continent, and electricity production from coal sources.

Note: This dataset has been superseded by the dataset found at "End-Use Load Profiles for the U.S. Building Stock" (submission 4520; linked in the submission resources), which is a comprehensive and validated representation of hourly load profiles in the U.S. commercial and residential building stock. The End-Use Load Profiles project website includes links to data viewers for this new dataset. For documentation of dataset validation, model calibration, and uncertainty quantification, see Wilson et al. (2022).

These data were first created around 2012 as a byproduct of various analyses of solar photovoltaics and solar water heating (see references below for are two examples). This dataset contains several errors and limitations. It is recommended that users of this dataset transition to the updated version of the dataset posted in the resources. This dataset contains weather data, commercial load profile data, and residential load profile data.

Weather The Typical Meteorological Year 3 (TMY3) provides one year of hourly data for around 1,000 locations. The TMY weather represents 30-year normals, which are typical weather conditions over a 30-year period.

Commercial The commercial load profiles included are the 16 ASHRAE 90.1-2004 DOE Commercial Prototype Models simulated in all TMY3 locations, with building insulation levels changing based on ASHRAE 90.1-2004 requirements in each climate zone. The folder names within each resource represent the weather station location of the profiles, whereas the file names represent the building type and the representative city for the ASHRAE climate zone that was used to determine code compliance insulation levels. As indicated by the file names, all building models represent construction that complied with the ASHRAE 90.1-2004 building energy code requirements. No older or newer vintages of buildings are represented.

Residential The BASE residential load profiles are five EnergyPlus models (one per climate region) representing 2009 IECC construction single-family detached homes simulated in all TMY3 locations. No older or newer vintages of buildings are represented. Each of the five climate regions include only one heating fuel type; electric heating is only found in the Hot-Humid climate. Air conditioning is not found in the Marine climate region.

One major issue with the residential profiles is that for each of the five climate zones, certain location-specific algorithms from one city were applied to entire climate zones. For example, in the Hot-Humid files, the heating season calculated for Tampa, FL (December 1 - March 31) was unknowingly applied to all other locations in the Hot-Humid zone, which restricts heating operation outside of those days (for example, heating is disabled in Dallas, TX during cold weather in November). This causes the heating energy to be artificially low in colder parts of that climate zone, and conversely the cooling season restriction leads to artificially low cooling energy use in hotter parts of each climate zone. Additionally, the ground temperatures for the representative city were used across the entire climate zone. This affects water heating energy use (because inlet cold water temperature depends on ground temperature) and heating/cooling energy use (because of ground heat transfer through foundation walls and floors). Representative cities were Tampa, FL (Hot-Humid), El Paso, TX (Mixed-Dry/Hot-Dry), Memphis, TN (Mixed-Humid), Arcata, CA (Marine), and Billings, MT (Cold/Very-Cold).

The residential dataset includes a HIGH building load profile that was intended to provide a rough approximation of older home vintages, but it combines poor thermal insulation with larger house size, tighter thermostat setpoints, and less efficient HVAC equipment. Conversely, the LOW building combines excellent thermal insulation with smaller house size, wider thermostat setpoints, and more efficient HVAC equipment. However, it is not known how well these HIGH and LOW permutations represent the range of energy use in the housing stock.

Note that on July 2nd, 2013, the Residential High and Low load files were updated from 366 days in a year for leap years to the more general 365 days in a normal year. The archived residential load data is included from prior to this date.

United States US: Electricity Production From Natural Gas Sources: % of Total data was reported at 31.942 % in 2015. This records an increase from the previous number of 26.888 % for 2014. United States US: Electricity Production From Natural Gas Sources: % of Total data is updated yearly, averaging 17.344 % from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 31.942 % in 2015 and a record low of 9.464 % in 1988. United States US: Electricity Production From Natural Gas Sources: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Energy Production and Consumption. Sources of electricity refer to the inputs used to generate electricity. Gas refers to natural gas but excludes natural gas liquids.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Electricity production shares may not sum to 100 percent because other sources of generated electricity (such as geothermal, solar, and wind) are not shown. Restricted use: Please contact the International Energy Agency for third-party use of these data.

Power Plants in the U.S.This feature layer, utilizing data from the Energy Information Administration (EIA), depicts all operable electric generating plants by energy source in the U.S. This includes plants that are operating, on standby, or short- or long-term out of service. The data covers all plants with a combined nameplate capacity of 1 MW (Megawatt) or more.Per EIA, "The United States uses many different energy sources and technologies to generate electricity. The sources and technologies have changed over time, and some are used more than others. The three major categories of energy for electricity generation are fossil fuels (coal, natural gas, and petroleum), nuclear energy, and renewable energy sources. Most electricity is generated with steam turbines using fossil fuels, nuclear, biomass, geothermal, and solar thermal energy. Other major electricity generation technologies include gas turbines, hydro turbines, wind turbines, and solar photovoltaics."Madison Gas & Electric Company, Sycamore Power PlantData currency: This cached Esri service is checked monthly for updates from its federal source (Power Plants)Data modification: NoneFor more information, please visit:Electricity ExplainedEIA-860, Annual Electric Generator ReportEIA-860M, Monthly Update to the Annual Electric Generator ReportEIA-923, Power Plant Operations ReportSupport documentation: MetadataFor feedback: ArcGIScomNationalMaps@esri.comEnergy Information AdministrationPer EIA, "The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment."

This dataset is the 2011 United States Energy Consumption by Sector and Source, part of the Annual Energy Outlook that highlights changes in the AEO Reference case projections for key energy topics.

The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment. The data included in Data360 is a subset of the data available from the source. Please refer to the source for complete data and methodology details. This collection includes only a subset of indicators from the source dataset.

The primary greenhouse gas (GHG) sources for agriculture are nitrous oxide (N2O) emissions from cropped and grazed soils, methane (CH4) emissions from ruminant livestock production and rice cultivation, and CH4 and N2O emissions from managed livestock waste. The management of cropped, grazed, and forestland has helped offset GHG emissions by promoting the biological uptake of carbon dioxide (CO2) through the incorporation of carbon into biomass, wood products, and soils, yielding a U.S. net emissions of 5,903 MMT CO2 eq (million metric tonnes of carbon dioxide equivalents) in 2018. Net emissions equate to total greenhouse gas emissions minus CO2 sequestration in growing forests, wood products, and soils. The report 'U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018' serves to estimate U.S. GHG emissions for the agricultural sector, to quantify uncertainty in emission estimates, and to estimate the potential of agriculture to mitigate U.S. GHG emissions. This dataset contains zipped, tabulated data from the figures and tables, and maps of the entire report. Data are presented for Cropland Soils (N2O), Enteric Fermentation (CH4), Managed Livestock Waste (CH4 + N2O), Grazed Lands (CH4 + N2O), Rice Cultivation + Residue Burning (CH4 + N2O), Energy Use, Forests, Harvested Wood, Urban Trees, and Agricultural Soils. Please refer to the report for full descriptions of and notes on the data. Resources in this dataset:Resource Title: Chapter 2 Data. File Name: Chapter 2 Data.zipResource Description: This zip file contains data from all figures, maps, tables, and appendices from Chapter 2 (livestock and grazing) for the U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018. Resource Title: Chapter 4 Data. File Name: Chapter 4 data.zipResource Description: This zip file contains data from all figures, tables, and appendices from Chapter 4 (forests) for the U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018.Resource Title: Chapter 3 Data. File Name: Chapter 3 Data.zipResource Description: This zip file contains data from all figures, maps, tables, and appendices from Chapter 3 (cropland) for the U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018.Resource Title: Chapter 5 Data. File Name: Chapter 5 data.zipResource Description: This zip file contains data from all figures and tables from Chapter 5 (energy) for the U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018.Resource Title: Chapter 1 Data. File Name: Chapter 1 Data.zipResource Description: This zip file contains data from all figures and tables from Chapter 1 for the U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018.

Power Plants in the U.S.This feature layer, utilizing data from the Energy Information Administration (EIA), depicts all operable electric generating plants by energy source in the U.S. This includes plants that are operating, on standby, or short- or long-term out of service. The data covers all plants with a combined nameplate capacity of 1 MW (Megawatt) or more.Per EIA, "The United States uses many different energy sources and technologies to generate electricity. The sources and technologies have changed over time, and some are used more than others. The three major categories of energy for electricity generation are fossil fuels (coal, natural gas, and petroleum), nuclear energy, and renewable energy sources. Most electricity is generated with steam turbines using fossil fuels, nuclear, biomass, geothermal, and solar thermal energy. Other major electricity generation technologies include gas turbines, hydro turbines, wind turbines, and solar photovoltaics."Lake Forest HospitalData currency: This cached Esri service is checked monthly for updates from its federal source (Power Plants)Data modification: NoneFor more information, please visit:Electricity ExplainedEIA-860, Annual Electric Generator ReportEIA-860M, Monthly Update to the Annual Electric Generator ReportEIA-923, Power Plant Operations ReportFor feedback: ArcGIScomNationalMaps@esri.comSymbology courtesy of the following Noun Project contributors: Lisa Staudinger, Robert Beerwerth, Nikita Kozin, emilegraphics, Ron Scott, BomSymbols, Andrejs Kirma, Becris, Symbolon, Ryan Dell and Iconathon.Energy Information AdministrationPer EIA, "The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment."