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.
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The UK's reallocated energy use and energy intensity - the level of usage per unit of economic output, by industry (SIC 2007 group - around 130 categories), 1990 to 2023.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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The UK's energy use by industry (SIC 2007 group - around 130 categories), source (for example, industrial and domestic combustion, aircraft, road transport and so on - around 80 categories) and fuel (for example, anthracite, peat, natural gas and so on - around 20 categories), 1990 to 2023.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Energy use by industries and households. Industry aggregation is at the L-level of the input-output accounts of Statistics Canada.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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The UK's direct use of energy from fossil fuels and other sources (nuclear, net imports, renewables, biofuels and waste and reallocated use of energy by industry (SIC 2007 section - 21 categories), 1990 to 2023.
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Facility-level industrial combustion energy use is calculated from greenhouse gas emissions data reported by large emitters (>25,000 metric tons CO2e per year) under the U.S. EPA's Greenhouse Gas Reporting Program (GHGRP, https://www.epa.gov/ghgreporting). The calculation applies EPA default emissions factors to reported fuel use by fuel type. Additional facility information is included with calculated combustion energy values, such as industry type (six-digit NAICS code), location (lat, long, zip code, county, and state), combustion unit type, and combustion unit name.
Further identification of combustion energy use is provided by calculating energy end use (e.g., conventional boiler use, co-generation/CHP use, process heating, other facility support) by manufacturing NAICS code. Manufacturing facilities are matched by their NAICS code and reported fuel type with the proportion of combustion fuel energy for each end use category identified in the 2010 Energy Information Administration Manufacturing Energy Consumption Survey (MECS, http://www.eia.gov/consumption/manufacturing/data/2010/). MECS data are adjusted to account for data that were withheld or whose end use was unspecified following the procedure described in Fox, Don B., Daniel Sutter, and Jefferson W. Tester. 2011. The Thermal Spectrum of Low-Temperature Energy Use in the United States, NY: Cornell Energy Institute.
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Estimated industrial manufacturing agriculture construction and mining energy estimated by North American Industrial Classification System NAICS code county and fuel type for 2014. Additional disaggregation by end use e.g. machine drive process heating facility lighting is provided for manufacturing agriculture and mining industries. Estimation approach is described in detail in the data_foundation folder here: https//github.com/NREL/Industry-Energy-Tool
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This table contains figures on the supply and consumption of energy broken down by sector and by energy commodity. The energy supply is equal to the indigenous production of energy plus the receipts minus the deliveries of energy plus the stock changes. Consumption of energy is equal to the sum of own use, distribution losses, final energy consumption, non-energy use and the total net energy transformation. For each sector, the supply of energy is equal to the consumption of energy.
For some energy commodities, the total of the observed domestic deliveries is not exactly equal to the sum of the observed domestic receipts. For these energy commodities, a statistical difference arises that can not be attributed to a sector.
The breakdown into sectors follows mainly the classification as is customary in international energy statistics. This classification is based on functions of various sectors in the energy system and for several break downs on the international Standard Industrial Classification (SIC). There are two main sectors: the energy sector (companies with main activity indigenous production or transformation of energy) and energy consumers (other companies, vehicles and dwellings). In addition to a breakdown by sector, there is also a breakdown by energy commodity, such as coal, various petroleum products, natural gas, renewable energy, electricity and heat and other energy commodities like non renewable waste.
The definitions used in this table are exactly in line with the definitions in the Energy Balance table; supply, transformation and consumption. That table does not contain a breakdown by sector (excluding final energy consumption), but it does provide information about imports, exports and bunkering and also provides more detail about the energy commodities.
Data available: From: 1990.
Status of the figures: Figures up to and including 2022 are definite. Figures for 2023 and 2024 are revised provisional.
Changes as of July 2025: Compiling figures on solar electricity took more time than scheduled. Consequently, not all StatLine tables on energy contain the most recent 2024 data on production for solar electricity. This table contains the outdated data from June 2025. The most recent figures are 5 percent higher for 2024 solar electricity production. These figures are in these two tables (in Dutch): - StatLine - Zonnestroom; vermogen en vermogensklasse, bedrijven en woningen, regio - StatLine - Hernieuwbare energie; zonnestroom, windenergie, RES-regio Next update is scheduled in November 2025. From that moment all figures will be fully consistent again. We apologize for the inconvenience.
Changes as of June 2025: Figures for 2024 have been updated.
Changes as of March 17th 2025: For all reporting years the underlying code for 'Total crudes, fossil fraction' and 'Total kerosene, fossiel fraction' is adjusted. Figures have not been changed.
Changes as of November 15th 2024: The structure of the table has been adjusted. The adjustment concerns the division into sectors, with the aluminum industry now being distinguished separately within the non-ferrous metal sector. This table has also been revised for 2015 to 2021 as a result of new methods that have also been applied for 2022 and 2023. This concerns the following components: final energy consumption of LPG, distribution of final energy consumption of motor gasoline, sector classification of gas oil/diesel within the services and transfer of energy consumption of the nuclear industry from industry to the energy sector. The natural gas consumption of the wood and wood products industry has also been improved so that it is more comparable over time. This concerns changes of a maximum of a few PJ.
Changes as of June 7th 2024: Revised provisional figures of 2023 have been added.
Changes as of April 26th of 2024 The energy balance has been revised for 2015 and later on a limited number of points. The most important is the following: 1. For solid biomass and municipal waste, the most recent data have been included. Furthermore data were affected by integration with figures for a new, yet to be published StatLine table on the supply of solid biomass. As a result, there are some changes in receipts of energy, deliveries of energy and indigenous production of biomass of a maximum of a few PJ. 2. In the case of natural gas, an improvement has been made in the processing of data for stored LNG, which causes a shift between stock changes, receipts of energy and deliveries of energy of a maximum of a few PJ.
Changes as of March 25th of 2024: The energy balance has been revised and restructured. This concerns mainly the following: 1. Different way of dealing with biofuels that have been mixed with fossil fuels 2. A breakdown of the natural gas balance of agriculture into greenhouse horticulture and other agriculture. 3. Final consumption of electricity in services
The Foundational Industry Energy Dataset (FIED) addresses several of the areas of growing disconnect between the demands of industrial energy analysis and the state of industrial energy data by providing unit-level characterization by facility. Each facility is identified by a unique registryID, based on the U.S. Environmental Protection Agency (EPA) Facility Registry Service, and includes its coordinates and other geographic identifiers. Energy-using units are characterized by design capacity, as well as their estimated energy use, greenhouse gas emissions, and physical throughput using 2017 data from the EPA's National Emissions Inventory and Greenhouse Gas Reporting Program. An overview of the derivation methods is provided in a separate technical report which will be linked after publication. The Python code used to compile the dataset is available in a GitHub repository. An updated 2020 version is under development.
Displays several units of energy consumption for households, businesses, and industries in the City of Chicago during 2010. Electric The data was aggregated from ComEd and Peoples Natural Gas by Accenture. Electrical and gas usage data comprises 88 percent of Chicago's buildings in 2010. The electricity data comprises 68 percent of overall electrical usage in the city while gas data comprises 81 percent of all gas consumption in Chicago for 2010.Census blocks with less than 4 accounts is displayed at the Community Area without further geographic identifiers. This dataset also contains selected variables describing selected characteristics of the Census block population, physical housing, and occupancy.
The 2005 edition of the Energy Statistics Database contains comprehensive energy statistics on more than 215 countries or areas for production, trade, transformation and intermediate and final consumption (end-use) for primary and secondary conventional, non-conventional and new and renewable sources of energy. In addition, mid-year population estimates are included to enable the computation of per capita data. Data on heating (calorific) values are also provided to enable conversion to a common unit (terajoules) for interfuel comparison and analyses.
This dataset contains Bahrain Electricity Consumption. Data from Bahrain Open Data Portal. Follow datasource.kapsarc.org for timely data to advance energy economics research.
https://data.gov.tw/licensehttps://data.gov.tw/license
This dataset provides the proportions of electricity usage for residential, service, government, industrial, and other purposes in Taiwan each year.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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The "Energy Consumption in New York City" dataset provides comprehensive information on the energy usage patterns and trends in City over the past five years. The dataset includes data on electricity consumption, gas consumption, and water consumption in various sectors, such as residential, commercial, and industrial. Attributes: 2020: The year for which the data was recorded. August: The month for which the data was recorded. Sector: The sector (residential, commercial, industrial) of energy consumption. Electricity Consumption (kWh): Total electricity consumption 200,000 kWh for the specific sector. Gas Consumption (m3): Total gas consumption 500 m3 for the residential sector. Water Consumption (m3): Total water consumption 300 m3 for both residential and commercial sector. Data Sources: The data has been collected from industry reports, ensuring its reliability and accuracy. Use Cases: This dataset is valuable for researchers, urban planners, and policymakers to analyze energy consumption patterns, identify trends, and make informed decisions regarding energy efficiency and sustainability initiatives in New York City. Update Frequency: The dataset is updated annually to include the latest available data. License: The dataset is made available under the Creative Commons Attribution License, allowing users to share and adapt the data for non-commercial purposes with appropriate attribution.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The "Energy Consumption in New York City" dataset provides comprehensive information on the energy usage patterns and trends in City over the past five years. The dataset includes data on electricity consumption, gas consumption, and water consumption in various sectors, such as residential, commercial, and industrial. Attributes: 2020: The year for which the data was recorded. August: The month for which the data was recorded. Sector: The sector (residential, commercial, industrial) of energy consumption. Electricity Consumption (kWh): Total electricity consumption 200,000 kWh for the specific sector. Gas Consumption (m³): Total gas consumption 500 m³ for the residential sector. Water Consumption (m³): Total water consumption 300 m³ for both residential and commercial sector. Data Sources: The data has been collected from industry reports, ensuring its reliability and accuracy. Use Cases: This dataset is valuable for researchers, urban planners, and policymakers to analyze energy consumption patterns, identify trends, and make informed decisions regarding energy efficiency and sustainability initiatives in New York City. Update Frequency: The dataset is updated annually to include the latest available data. License: The dataset is made available under the Creative Commons Attribution License, allowing users to share and adapt the data for non-commercial purposes with appropriate attribution.
Note: data is continuously updated・ PG&E provides non-confidential, aggregated usage data that are available to the public and updated on a quarterly basis. These public datasets consist of monthly consumption aggregated by ZIP code and by customer segment: Residential, Commercial, Industrial and Agricultural. The public datasets must meet the standards for aggregating and anonymizing customer data pursuant to CPUC Decision 14-05-016, as follows: a minimum of 100 Residential customers; a minimum of 15 Non-Residential customers, with no single Non-Residential customer in each sector accounting for more than 15% of the total consumption. If the aggregation standard is not met, the consumption will be combined with a neighboring ZIP code until the aggregation requirements are met.
This API provides state-level and national-level energy consumption data. Data organized by major economic sectors. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy use by major economic sectors, energy production and and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm
This dataset includes U.S. low-temperature heating and cooling demand at the county level in major end-use sectors: residential, commercial, manufacturing, agricultural, and data centers. Census division-level end-use energy consumption, expenditure, and commissioned power database were dis-aggregated to the county level. The county-level database was incorporated with climate zone, numbers of housing units and farms, farm size, and coefficient of performance (COP) for heating and cooling demand analysis. This dataset also includes a paper containing a full explanation of the methodologies used and maps. Residential data were updated from the latest Residential Energy Consumption Survey (RECS) dataset (2015) using 2020 census data. Commercial data were baselined off the latest Commercial Building Energy Consumption Survey (CBECS) dataset (2012). Manufacturing data were baselined off the latest Manufacturing Energy Consumption Survey (MECS) dataset (2021).
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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The UK's fuel use by industry (SIC 2007 group - around 130 categories) and type (coal, natural gas, petrol, diesel oil for road vehicles (DERV), fuel oil, gas oil, aviation fuel and other); UK level fuel use of nuclear, hydro, wind, solar, geothermal aquifers and net imports, 1990 to 2023. This table excludes biofuels and waste.
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.