Electricity consumption in the United States totaled 4,000 terawatt-hours in 2023, one of the highest values 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 next decades. 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 2022, the Southwestern state, which houses major refinery complexes and is also home to nearly 30 million people, consumed over 470 terawatt-hours. California and Florida trailed in second and third, each with an annual consumption of approximately 250 terawatt-hours.

Electricity use in the United States stood at roughly 4,049 terawatt hours in 2023. It is projected that U.S. electricity use will continue to rise over the coming decades to reach 5,178 terawatt hours by 2050.

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.

Industrial activities are the greatest energy end-user sector in the United States, reaching a consumption of some 31 quadrillion British thermal units in 2023, followed by the transportation sector. The U.S. is the second-largest energy consumer in the world, after China. Energy source in the United States Consumption of fossil fuels still accounts for the majority of U.S. primary energy consumption. The transportation sector and electricity generation are the sectors with the largest fossil fuel consumption in the country, mainly relying on oil-based motor fuels and natural gas, respectively. Electricity generation in the United States Although around 60 percent of the electricity generated in the U.S. is derived from natural gas and coal, the use of renewable sources is becoming more common in electricity production, wind the largest increase in wind and solar power. These two clean energy resources are projected to generate as much power as natural gas by 2030.

This API provides data on U.S. total consumption in Btu by fuel type, i.e., coal, petroleum liquids, petroleum coke, and natural gas. Data also organized by sector, i.e., electric power, electric utility, commercial and industrial. Annual, quarterly, and monthly data available. Based on Form EIA-906, Form EIA-920, and Form EIA-923 data. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

Texas is the leading electricity-consuming state in the United States. In 2022, the state consumed roughly 475 terawatt-hours of electricity. California and Florida followed in second and third, each consuming approximately 250 terawatt-hours.

United States Electricity Consumption data was reported at 11.791 kWh/Day bn in Feb 2025. This records a decrease from the previous number of 12.060 kWh/Day bn for Jan 2025. United States Electricity Consumption data is updated monthly, averaging 9.940 kWh/Day bn from Jan 1991 (Median) to Feb 2025, with 410 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]

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.

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.

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;

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.

United States US: Electricity Production From Renewable Sources: Excluding Hydroelectric: % of Total data was reported at 7.176 % in 2015. This records an increase from the previous number of 6.900 % for 2014. United States US: Electricity Production From Renewable Sources: Excluding Hydroelectric: % of Total data is updated yearly, averaging 0.471 % from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 7.176 % in 2015 and a record low of 0.015 % in 1960. United States US: Electricity Production From Renewable Sources: Excluding Hydroelectric: % of Total 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. Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels.; ; 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.

The electricity usage of data centers in the United States is expected to increase year-on-year from 2023 to 2030, reaching an 11.7 percent share of total electricity demand in the latter year. In 2023, data centers in the U.S. demanded 147 terawatt-hours of electricity.

Germany Total Energy Consumption data was reported at 10.183 BTU qn in 2023. This records a decrease from the previous number of 11.309 BTU qn for 2022. Germany Total Energy Consumption data is updated yearly, averaging 13.850 BTU qn from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 14.853 BTU qn in 1991 and a record low of 10.183 BTU qn in 2023. Germany 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 Germany – Table DE.EIA.IES: Energy Production and Consumption: Annual.

Forecast: Total Renewable Energy Share in the Total Final Energy Consumption in the US 2023 - 2027 Discover more data with ReportLinker!

Romania Total Energy Consumption data was reported at 1.128 BTU qn in 2023. This records a decrease from the previous number of 1.172 BTU qn for 2022. Romania Total Energy Consumption data is updated yearly, averaging 1.581 BTU qn from Dec 1980 (Median) to 2023, with 44 observations. The data reached an all-time high of 2.956 BTU qn in 1989 and a record low of 1.128 BTU qn in 2023. Romania 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 Romania – Table RO.EIA.IES: Energy Production and Consumption: Annual.

Hourly Electricity Demand by State

This archive contains the output of the Public Utility Data Liberation (PUDL) Project state electricity demand allocation analysis, as of the v0.4.0 release of the PUDL Python package. Here is the script that produced this output. It was run using the Docker container and processed data that are included in PUDL Data Release v2.0.0.

The analysis uses hourly electricity demand reported at the balancing authority and utility level in the FERC 714 (data archive), and service territories for utilities and balancing authorities inferred from the counties served by each utility, and the utilities that make up each balancing authority in the EIA 861 (data archive), to estimate the total hourly electricity demand for each US state.

We used the total electricity sales by state reported in the EIA 861 as a scaling factor to ensure that the magnitude of electricity sales is roughly correct, and obtains the shape of the demand curve from the hourly planning area demand reported in the FERC 714. The scaling is necessary partly due to imperfections in the historical utility and balancing authority service territory maps which we have been able to reconstruct from the data reported in the EIA 861 Service Territories and Balancing Authority tables.

The compilation of historical service territories based on the EIA 861 data is somewhat manual and could be improved, but overall the results seem reasonable. Additional predictive spatial variables will be required to obtain more granular electricity demand estimates (e.g. at the county level).

FERC 714 Respondents

The file ferc714_respondents.csv links FERC Form 714 respondents to what we believe to be their corresponding EIA utilities or balancing authorities.

• eia_code: An integer ID reported in the FERC Form 714 corresponding to the respondent's EIA ID. In some cases this is a Utility ID, and in others it is a Balancing Authority ID, but which is not specified and so we have had to infer the type of entity which is responding. Note that in many cases the same company acts as both a utility and a balancing authority, and the integer ID associated with the company is often the same in both roles, but it does not need to be.
• respondent_type: Either balancing_authority or utility depending on which type of entity we believe was responding to the FERC 714.
• respondent_id_ferc714: The integer ID of the responding entity within the FERC 714.
• respondent_name_ferc714: The name provided by the respondent in the FERC 714.
• balancing_authority_id_eia: If the respondent was identified as a balancing authority, the EIA ID for that balancing authority, taken from the EIA Form 861.
• balancing_authority_code_eia: If the respondent was identified as a balancing authority, the EIA short code used to identify the balancing authority, taken from the EIA Form 861.
• balancing_authority_name_eia: If the respondent was identified as a balancing authority, the name of the balancing authority, taken from the EIA Form 861.
• utility_id_eia: If the respondent was identified as a utility, the EIA utility ID, taken from the EIA Form 861.
• utility_name_eia: If the respondent was identified as a utility, the name of the utility, taken from the EIA 861.

FERC 714 Respondent Service Territories

The file ferc714_service_territories.csv describes the historical service territories for FERC 714 respondents for the years 2006-2019. For each respondent and year, their service territory is composed of a collection of counties, identified by their 5-digit FIPS codes. The file contains the following columns, with each row associating a single county with a FERC 714 respondent in a particular year:

• respondent_id_ferc714: The FERC Form 714 respondent ID, which is also found in ferc714_respondents.csv
• report_date: The first day of the year for which the service territory is being described.
• state: Two letter abbreviation for the state containing the county, for human readability.
• county: The name of the county, for human readability.
• state_id_fips: The 2-digit FIPS state code.
• county_id_fips: The 5-digit FIPS county code for use with other geospatial data resources, like the US Census DP1 geodatabase.

State Hourly Electricity Demand Estimates

The file demand.csv contains hourly electricity demand estimates for each US state from 2006-2019. It contains the following columns:

• state_id_fips: The 2-digit FIPS state code.
• utc_datetime: UTC time at hourly resolution.
• demand_mwh: Electricity demand for that state and hour in MWh. This is an allocation of the electricity demand reported directly in the FERC Form 714.
• scaled_demand_mwh: Estimated total electricity demand for that state and hour, in MWh. This is the reported FERC Form 714 hourly demand scaled up or down linearly such that the total annual electricity demand matches the total annual electricity sales reported at the state level in the EIA Form 861.

A collection of plots are also included, comparing the original and scaled demand time series for each state.

Acknowledgements

This analysis was funded largely by GridLab, and done in collaboration with researchers at the Lawrence Berkeley National Laboratory, including Umed Paliwal and Nikit Abhyankar.

• Ethan Welty wrote the final code and most of the algorithms.
• Yash Kumar did initial data explorations and geospatial analyses.

The data screening methods were originally designed to identify unrealistic data in the electricity demand timeseries reported to EIA on Form 930, and have been applied here to data form the FERC Form 714.

They are adapted from code published and modified by:

• Tyler Ruggles
• Greg Schivley

And described at:

• Developing reliable hourly electricity demand data through screening and imputation
• EIA Cleaned Hourly Electricity Demand Code (Zenodo)
• EIA Cleaned Hourly Electricity Demand Code (GitHub)

The imputation methods were designed for multivariate time series forecasting.

They are adapted from code published by:

• Xinyu Chen chenxy346@gmail.com

And described at:

• Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting
• Scalable Low-Rank Tensor Learning for Spatiotemporal Traffic Data Imputation
• Tensor Learning (张量学习)

About PUDL & Catalyst Cooperative

For additional information about this data and PUDL, see the following resources:

• The PUDL Repository on GitHub
• The PUDL Documentation
• Other Catalyst Cooperative data archives on Zenodo

Data center electricity demand in the United States is forecast to more than quadruple between 2023 and 2030, requiring more than an additional 450 terawatt-hours of power. The share of total U.S. data center electricity demand will increase from 3.7 percent in 2023 to 1.7 percent by 2030.

Comprehensive monthly and annual time series on all energy sources. Data on production, consumption, reserves, stocks, prices, imports, and exports. Monthly time series extend back to 1973 and annual time series extend back to 1949. National-level data on major end-use sectors ,i.e., residential, commercial, industrial, and transportation.

Petroleum is the primary source of energy in the United States, with a consumption of 35.43 quadrillion British thermal units in 2023. Closely following, the U.S. had 33.61 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 2023. 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 11 exajoules in 2023. Most of the renewable energy produced in the U.S. is derived from biomass, hydro and wind sources. In 2023, renewable electricity accounted for approximately 22.5 percent of the nation’s total electricity generation.