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This dataset provides monthly data on renewable energy consumption in the United States from January 1973 to December 2024, broken down by energy source and consumption sector. The data is sourced from the U.S. Energy Information Administration (EIA).
Renewable energy has become an increasingly important part of the U.S. energy mix in recent years as the country seeks to reduce its greenhouse gas emissions and dependence on fossil fuels. This dataset allows for detailed analysis of renewable energy trends over time and across different sectors of the economy.
0 means that the datapoint was either "Not Available," "No Data Reported," or "Not Meaningful"Total Renewable Energy from your comparative analysis across fuel types as it represents the sum of the others| Column Name | Description |
|---|---|
Year | The calendar year of the data point |
Month | The month number (1-12) of the data point |
Sector | The energy consumption sector (Commercial, Electric Power, Industrial, Residential, or Transportation) |
Hydroelectric Power | Hydroelectric power consumption in the given sector and month, in trillion BTUs |
Geothermal Energy | Geothermal energy consumption in the given sector and month, in trillion BTUs |
Solar Energy | Solar energy consumption in the given sector and month, in trillion BTUs |
Wind Energy | Wind energy consumption in the given sector and month, in trillion BTUs |
Wood Energy | Wood energy consumption in the given sector and month, in trillion BTUs |
Waste Energy | Waste energy consumption in the given sector and month, in trillion BTUs |
"Fuel Ethanol, Excluding Denaturant" | Fuel ethanol (excluding denaturant) consumption in the given sector and month, in trillion BTUs |
Biomass Losses and Co-products | Biomass losses and co-products in the given sector and month, in trillion BTUs |
Biomass Energy | Total biomass energy consumption (sum of wood, waste, ethanol, and losses/co-products) in the given sector and month, in trillion BTUs |
Total Renewable Energy | Total renewable energy consumption (sum of hydroelectric, geothermal, solar, wind, and biomass) in the given sector and month, in trillion BTUs |
Renewable Diesel Fuel | Renewable diesel fuel consumption in the given sector and month, in trillion BTUs |
Other Biofuels | Other biofuels consumption in the given sector and month, in trillion BTUs |
Conventional Hydroelectric Power | Conventional hydroelectric power consumption in the given sector and month, in trillion BTUs |
Biodiesel | Biodiesel consumption in the given sector and month, in trillion BTUs ... |
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TwitterPetroleum is the primary source of energy in the United States, with a consumption of 35.35 quadrillion British thermal units in 2024. Closely following, the U.S. had 34.2 quadrillion British thermal units of energy derived from natural gas. Energy consumption by sector in the United States Petroleum is predominantly utilized as a fuel in the transportation sector, which is also the second-largest consumer of energy in the U.S. with almost 30 percent of the country’s total energy consumption in 2024. This figure is topped only by the energy-guzzling industrial sector, a major consumer of fossil fuels such as petroleum and natural gas. Renewable energy in the United States Despite the prevalence of fossil fuels in the U.S. energy mix, the use of renewable energy consumption has grown immensely in the last decades to approximately 6.7 exajoules in 2024. Most of the renewable energy produced in the U.S. is derived from biomass, hydro, and wind sources. In 2024, renewable electricity accounted for approximately 24 percent of the nation’s total electricity generation.
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United States Electricity Consumption data was reported at 10.243 kWh/Day bn in Mar 2025. This records a decrease from the previous number of 11.765 kWh/Day bn for Feb 2025. United States Electricity Consumption data is updated monthly, averaging 9.940 kWh/Day bn from Jan 1991 (Median) to Mar 2025, with 411 observations. The data reached an all-time high of 13.179 kWh/Day bn in Jul 2024 and a record low of 7.190 kWh/Day bn in Apr 1991. United States Electricity Consumption data remains active status in CEIC and is reported by U.S. Energy Information Administration. The data is categorized under Global Database’s United States – Table US.RB004: Electricity Supply and Consumption. [COVID-19-IMPACT]
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United States Total Energy Consumption data was reported at 93.691 BTU qn in 2023. This records a decrease from the previous number of 94.812 BTU qn for 2022. United States Total Energy Consumption data is updated yearly, averaging 92.977 BTU qn from Dec 1980 (Median) to 2023, with 44 observations. The data reached an all-time high of 98.965 BTU qn in 2007 and a record low of 70.489 BTU qn in 1983. United States Total Energy Consumption data remains active status in CEIC and is reported by U.S. Energy Information Administration. The data is categorized under Global Database’s United States – Table US.EIA.IES: Energy Production and Consumption: Annual.
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TwitterTexas is the leading electricity-consuming state in the United States. In 2023, the state consumed 492.8 terawatt-hours of electricity. California and Florida followed in second and third, each consuming approximately 239.48 and 250.94 terawatt-hours, respectively.
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TwitterElectricity consumption in the United States totaled ***** terawatt-hours in 2024, the highest value in the period under consideration. Figures represent energy end use, which is the sum of retail sales and direct use of electricity by the producing entity. Electricity consumption in the U.S. is expected to continue increasing in the coming years. Which sectors consume the most electricity in the U.S.? Consumption has often been associated with economic growth. Nevertheless, technological improvements in efficiency and new appliance standards have led to a stabilizing of electricity consumption, despite the increased ubiquity of chargeable consumer electronics. Electricity consumption is highest in the residential sector, followed by the commercial sector. Equipment used for space heating and cooling account for some of the largest shares of residential electricity end use. Leading states in electricity use Industrial hub Texas is the leading electricity-consuming U.S. state. In 2023, the southwestern state, which houses major refinery complexes and is also home to over ** million people, consumed almost ****terawatt-hours. Florida and California followed in second and third, with an annual consumption of approximately *** terawatt-hours and 240 terawatt-hours, respectively.
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United States US: Fossil Fuel Energy Consumption: % of Total data was reported at 82.776 % in 2015. This records a decrease from the previous number of 82.935 % for 2014. United States US: Fossil Fuel Energy Consumption: % of Total data is updated yearly, averaging 87.236 % from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 95.982 % in 1967 and a record low of 82.776 % in 2015. United States US: Fossil Fuel Energy Consumption: % 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. Fossil fuel comprises coal, oil, petroleum, and natural gas products.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Restricted use: Please contact the International Energy Agency for third-party use of these data.
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TwitterFossil fuel consumption in the United States amounted to 77.41 quadrillion British thermal units in 2024, a slight increase in comparison to the previous year. Renewables consumption has progressively increased within the period of consideration, reaching 8.6 quadrillion British thermal units that in 2024.
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TwitterThe 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.
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TwitterState-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.
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United States Energy Consumption: Fossil Fuels data was reported at 7,001.586 BTU tn in Aug 2018. This records an increase from the previous number of 6,913.155 BTU tn for Jul 2018. United States Energy Consumption: Fossil Fuels data is updated monthly, averaging 6,340.282 BTU tn from Jan 1973 (Median) to Aug 2018, with 548 observations. The data reached an all-time high of 8,102.790 BTU tn in Jan 2004 and a record low of 4,788.247 BTU tn in Jun 1982. United States Energy Consumption: Fossil Fuels data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s United States – Table US.RB002: Energy Consumption.
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View monthly updates and historical trends for US Primary Energy Consumption. from United States. Source: Energy Information Administration. Track economi…
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TwitterIn 2024, consumption of primary energy per capita in the United States amounted to 277 million British thermal units. Per capita consumption of energy has increased since the 1950s in the United States. However, in the advent of vehicle and electricity efficiency standards, this figure has decreased in recent years.
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TwitterMonthly 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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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.
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.
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By Department of Energy [source]
The Building Energy Data Book (2011) is an invaluable resource for gaining insight into the current state of energy consumption in the buildings sector. This dataset provides comprehensive data on residential, commercial and industrial building energy consumption, construction techniques, building technologies and characteristics. With this resource, you can get an in-depth understanding of how energy is used in various types of buildings - from single family homes to large office complexes - as well as its impact on the environment. The BTO within the U.S Department of Energy's Office of Energy Efficiency and Renewable Energy developed this dataset to provide a wealth of knowledge for researchers, policy makers, engineers and even everyday observers who are interested in learning more about our built environment and its energy usage patterns
For more datasets, click here.
- 🚨 Your notebook can be here! 🚨!
This dataset provides comprehensive information regarding energy consumption in the buildings sector of the United States. It contains a number of key variables which can be used to analyze and explore the relations between energy consumption and building characteristics, technologies, and construction. The data is provided in both CSV format as well as tabular format which can make it helpful for those who prefer to use programs like Excel or other statistical modeling software.
In order to get started with this dataset we've developed a guide outlining how to effectively use it for your research or project needs.
Understand what's included: Before you start analyzing the data, you should read through the provided documentation so that you fully understand what is included in the datasets. You'll want to be aware of any potential limitations or requirements associated with each type of data point so that your results are valid and reliable when drawing conclusions from them.
Clean up any outliers: You may need to take some time upfront investigating suspicious outliers within your dataset before using it in any further analyses — otherwise, they can skew results down the road if not dealt with first-hand! Furthermore, they could also make complex statistical modeling more difficult as well since they artificially inflate values depending on their magnitude within each example data point (i.e., one outlier could affect an entire model’s prior distributions). Missing values should also be accounted for too since these may not always appear obvious at first glance when reviewing a table or graphical representation - but accurate statistics must still be obtained either way no matter how messy things seem!
Exploratory data analysis: After cleaning up your dataset you'll want to do some basic exploring by visualizing different types of summaries like boxplots, histograms and scatter plots etc.. This will give you an initial case into what trends might exist within certain demographic/geographic/etc.. regions & variables which can then help inform future predictive models when needed! Additionally this step will highlight any clear discontinuous changes over time due over-generalization (if applicable), making sure predictors themselves don’t become part noise instead contributing meaningful signals towards overall effect predictions accuracy etc…
Analyze key metrics & observations: Once exploratory analyses have been carried out on rawsamples post-processing steps are next such as analyzing metrics such ascorrelations amongst explanatory functions; performing significance testing regression models; imputing missing/outlier values and much more depending upon specific project needs at hand… Additionally – interpretation efforts based
- Creating an energy efficiency rating system for buildings - Using the dataset, an organization can develop a metric to rate the energy efficiency of commercial and residential buildings in a standardized way.
- Developing targeted campaigns to raise awareness about energy conservation - Analyzing data from this dataset can help organizations identify areas of high energy consumption and create targeted campaigns and incentives to encourage people to conserve energy in those areas.
- Estimating costs associated with upgrading building technologies - By evaluating various trends in building technologies and their associated costs, decision-makers can determine the most cost-effective option when it comes time to upgrade their structures' energy efficiency...
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TwitterThis is a nicely formatted version of the US Energy Information Administration's U.S. Electric System Operating Data.
It's broken out by aggregation level: US, Regions, Balancing authorities and Balancing authority subregion. Then within that it's broken out into either region, balancing authority or individual utility.
Then each csv is includes data on - BA-to-BA interchange (suffix ID.H) - Day-ahead demand forecast (DF.H) - Demand (D.H) - Net generation by energy source (NG.SUN.H, NG.COL.H, NG.NG.H etc) - Net generation (NG.H) - Total interchange (TI.H)
Note: .H in the suffix stands for hourly in UTC time.
You can see the full data dictionary in data_dictionary.csv
The raw data comes from the EIA's bulk data download facility. It's downloaded using this notebook. And structured using this notebook.
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TwitterThese tables provide the electricity time series data from 2005 to 2023 in csv format. This is aimed at analytical users of sub-national data.
The cover sheets in the Excel versions of these data provide guidance on using the data.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="Comma-separated Values" class="gem-c-attachment_abbr">CSV</abbr></span>, <span class="gem-c-attachment_attribute">62.7 KB</span></p>
<p class="gem-c-attachment_metadata"><a class="govuk-link" aria-label="View Electricity consumption by Region, 2005 to 2023 online" href="/csv-preview/676301efe6ff7c8a1fde9b76/elec_region_stacked_2005-2023.csv">View online</a></p>
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="Comma-separated Values" class="gem-c-attachment_abbr">CSV</abbr></span>, <span class="gem-c-attachment_attribute">1.33 MB</span></p>
<p class="gem-c-attachment_metadata"><a class="govuk-link" aria-label="View Electricity consumption by Local Authority (LA), 2005 to 2023 online" href="/csv-preview/6763021b4e2d5e9c0bde9b55/elec_LA_stacked_2005-2023.csv">View online</a></p>
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TwitterThese statistics include the following estimates at the region and local authority levels in Great Britain, for domestic, non-domestic and total electricity consumption:
The subnational electricity consumption statistics gained National Statistics status in March 2008. This status applies to all data from 2005 onwards. The 2003 and 2004 data are still classed as experimental. Electricity consumption statistics for 2003 to 2004 (experimental), and 2005 to 2023 (National Statistics) are available.
For more information on regional and local authority data, please contact:
Energy consumption and regional statistics team
Department for Energy Security and Net Zero
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United States US: Renewable Energy Consumption: % of Total Final Energy Consumption data was reported at 8.717 % in 2015. This records a decrease from the previous number of 8.754 % for 2014. United States US: Renewable Energy Consumption: % of Total Final Energy Consumption data is updated yearly, averaging 5.454 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 8.754 % in 2014 and a record low of 4.089 % in 1994. United States US: Renewable Energy Consumption: % of Total Final Energy Consumption data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Energy Production and Consumption. Renewable energy consumption is the share of renewables energy in total final energy consumption.; ; World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.; Weighted Average;
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This dataset provides monthly data on renewable energy consumption in the United States from January 1973 to December 2024, broken down by energy source and consumption sector. The data is sourced from the U.S. Energy Information Administration (EIA).
Renewable energy has become an increasingly important part of the U.S. energy mix in recent years as the country seeks to reduce its greenhouse gas emissions and dependence on fossil fuels. This dataset allows for detailed analysis of renewable energy trends over time and across different sectors of the economy.
0 means that the datapoint was either "Not Available," "No Data Reported," or "Not Meaningful"Total Renewable Energy from your comparative analysis across fuel types as it represents the sum of the others| Column Name | Description |
|---|---|
Year | The calendar year of the data point |
Month | The month number (1-12) of the data point |
Sector | The energy consumption sector (Commercial, Electric Power, Industrial, Residential, or Transportation) |
Hydroelectric Power | Hydroelectric power consumption in the given sector and month, in trillion BTUs |
Geothermal Energy | Geothermal energy consumption in the given sector and month, in trillion BTUs |
Solar Energy | Solar energy consumption in the given sector and month, in trillion BTUs |
Wind Energy | Wind energy consumption in the given sector and month, in trillion BTUs |
Wood Energy | Wood energy consumption in the given sector and month, in trillion BTUs |
Waste Energy | Waste energy consumption in the given sector and month, in trillion BTUs |
"Fuel Ethanol, Excluding Denaturant" | Fuel ethanol (excluding denaturant) consumption in the given sector and month, in trillion BTUs |
Biomass Losses and Co-products | Biomass losses and co-products in the given sector and month, in trillion BTUs |
Biomass Energy | Total biomass energy consumption (sum of wood, waste, ethanol, and losses/co-products) in the given sector and month, in trillion BTUs |
Total Renewable Energy | Total renewable energy consumption (sum of hydroelectric, geothermal, solar, wind, and biomass) in the given sector and month, in trillion BTUs |
Renewable Diesel Fuel | Renewable diesel fuel consumption in the given sector and month, in trillion BTUs |
Other Biofuels | Other biofuels consumption in the given sector and month, in trillion BTUs |
Conventional Hydroelectric Power | Conventional hydroelectric power consumption in the given sector and month, in trillion BTUs |
Biodiesel | Biodiesel consumption in the given sector and month, in trillion BTUs ... |