Electricity 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.

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.

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.

Texas 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.

China consumes by far the most electricity of any country in the world, with almost 9,000 terawatt-hours equivalent consumed in 2024. The United States ranked as the second-leading electricity consumer that year, with over 4,000 terawatt-hours consumed. India followed, but by a wide margin. Production and consumption disparities China not only leads countries in electricity consumption worldwide, it also dominates production, generating over 10 petawatt-hours annually. The United States follows with 4.6 petawatt-hours, significantly more than its consumption of 4,065 terawatt-hours. This disparity underscores the complex relationship between production and consumption, influenced by factors such as energy efficiency, export capabilities, and domestic demand. The global expansion of electricity networks, particularly in Central and Southern Asia, is driving increased production to meet growing access and demand. Shifting energy landscapes The United States, as the second-largest consumer, is experiencing a significant shift in its energy mix. Coal-based electricity has declined by nearly 65 percent since 2010, giving way to natural gas and renewable sources. This transition is evident in recent capacity additions, with renewable energy sources accounting for almost 90 percent of new electricity capacity in 2025. The surge in renewable generation, particularly wind power, is reshaping the U.S. energy landscape and influencing consumption patterns. As renewable energy consumption is projected to more than double by 2050, the electricity market is adapting to these changing dynamics.

Over the past half a century, the world's electricity consumption has continuously grown, reaching approximately 27,000 terawatt-hours by 2023. Between 1980 and 2023, electricity consumption more than tripled, while the global population reached eight billion people. Growth in industrialization and electricity access across the globe have further boosted electricity demand. China's economic rise and growth in global power use Since 2000, China's GDP has recorded an astonishing 15-fold increase, turning it into the second-largest global economy, behind only the United States. To fuel the development of its billion-strong population and various manufacturing industries, China requires more energy than any other country. As a result, it has become the largest electricity consumer in the world. Electricity consumption per capita In terms of per capita electricity consumption, China and other BRIC countries are still vastly outpaced by developed economies with smaller population sizes. Iceland, with a population of less than half a million inhabitants, consumes by far the most electricity per person in the world. Norway, Qatar, Canada, and the United States also have among the highest consumption rates. Multiple contributing factors such as the existence of power-intensive industries, household sizes, living situations, appliance and efficiency standards, and access to alternative heating fuels determine the amount of electricity the average person requires in each country.

A comprehensive dataset of average residential, commercial, and combined electricity rates in cents per kWh for all 50 U.S. states and Washington D.C.

Electricity usage varies significantly between U.S. cities. In 2017, Miami had the highest average monthly electricity usage with ***** kilowatt hours used on average. San Francisco had the lowest average usage with just *** kilowatt hours. Electricity in the U.S. Electricity is used as a power source for a variety of things in the U.S. including cooling, technology, and some transportation. Electricity is generated from a variety of sources. Globally, coal/peat/oil shale accounts for the largest share of the world’s electricity production. The electricity generating capacity in the U.S. has grown significantly in recent years and is expected to continue to grow. Energy Usage in the U.S. Energy consumption in the U.S. shows distinct trends. Primary energy consumption in the U.S. has remained stable since 1998 with some decreases in recent years. However, some sectors consume more than others. In recent years, the electric power sector consumed the largest quantity of energy generated in the U.S.. Sources of energy are also used differently. As of 2018, petroleum and natural gas are the most commonly consumed energy sources in the United States.

Iceland is by far the largest per capita consumer of electricity worldwide, averaging 51.9 megawatt-hours per person in 2024. This results from a combination of factors, such as low-cost electricity production, increased heating demand, and the presence of energy-intensive industries in the country. Norway, Qatar, and Canada were also some of the world's largest electricity consumers per capita that year. China is the leading overall power consumer Power-intensive industries, the purchasing power of the average citizen, household size, and general power efficiency standards all contribute to the amount of electricity that is consumed per person every year. However, in terms of total electricity consumption, a country's size and population can also play an important role. In 2024, the three most populous countries in the world, namely China, the United States, and India, were also the three largest electricity consumers. Global electricity consumption on the rise In 2023, net electricity consumption worldwide amounted to over 27,000 terawatt-hours, an increase of 30 percent in comparison to a decade earlier. When compared to 1980, global electricity consumption more than tripled. On the generation side, the world is still strongly dependent on fossil fuels. Despite the world's renewable energy capacity quintupling in the last decade, coal and gas combined still accounted for almost 60 percent of global electricity generation in 2023.

Graph and download economic data for Average Price: Electricity per Kilowatt-Hour in U.S. City Average (APU000072610) from Nov 1978 to Aug 2025 about electricity, energy, retail, price, and USA.

The Utility Rate Database (URDB) is a free storehouse of rate structure information from utilities in the United States. Here, you can search for your utilities and rates to find out exactly how you are charged for your electric energy usage. Understanding this information can help reduce your bill, for example, by running your appliances during off-peak hours (times during the day when electricity prices are less expensive) and help you make more informed decisions regarding your energy usage.

Rates are also extremely important to the energy analysis community for accurately determining the value and economics of distributed generation such as solar and wind power. In the past, collecting rates has been an effort duplicated across many institutions. Rate collection can be tedious and slow, however, with the introduction of the URDB, OpenEI aims to change how analysis of rates is performed. The URDB allows anyone to access these rates in a computer-readable format for use in their tools and models. OpenEI provides an API for software to automatically download the appropriate rates, thereby allowing detailed economic analysis to be done without ever having to directly handle complex rate structures. Essentially, rate collection and processing that used to take weeks or months can now be done in seconds!

NREL’s System Advisor Model (formerly Solar Advisor Model or SAM), currently has the ability to communicate with the OpenEI URDB over the internet. SAM can download any rate from the URDB directly into the program, thereby enabling users to conduct detailed studies on various power systems ranging in size from a small residential rooftop solar system to large utility scale installations. Other applications available at NREL, such as OpenPV and IMBY, will also utilize the URDB data.

Upcoming features include better support for entering net metering parameters, maps to summarize the data, geolocation capabilities, and hundreds of additional rates!

This dataset displays figures on energy consumption by source and total consumption per Capita. This information is available by state for the year 2005. This information is provided by the Energy Information Administration. Alaska tops the list of total consumption per capita, while Texas ranks highest in consumption for all other categories. Included is figures regarding coal, natural gas, petroleum, and retail electricity sales.

Previous work by the U.S. Geological Survey (USGS) developed models to estimate the amount of water that is withdrawn and consumed by thermoelectric power plants (Diehl and others, 2013; Diehl and Harris, 2014; Harris and Diehl, 2019 [full citations listed in srcinfo of the metadata file]). This data release presents a historical reanalysis of thermoelectric water use from 2008 to 2020 and includes monthly and annual water withdrawal and consumption estimates, thermodynamically plausible ranges of minimum and maximum withdrawal and consumption estimates, and associated information for 1,360 water-using, utility-scale thermoelectric power plants in the United States. The term “reanalysis” refers to the process of reevaluating and recalculating water-use data using updated or refined methods, data sources, models, or assumptions. For this case, new estimates of withdrawal and consumption were made using new data sources and methods which involved taking existing historical data and subjecting it to a thorough review and revision to improve accuracy, completeness, and consistency. Reanalysis included incorporating new datasets, refining methodologies, and adjusting for changes in technology, regulations, or knowledge. The goal of reanalysis was to provide more accurate and up-to-date water-use estimates that reflects the most current understanding of water-use patterns and factors affecting water usage in the United States. This historical reanalysis was completed by running thermoelectric water-use models that are based on linked heat-and-water budgets (models contained within this data release). The linked heat-and-water budgets are constrained by the following data (also contained within this data release): power plant generation and cooling system technologies, the quantity of fuels consumed and electricity generated, as well as environmental variables. The heat-budget component of the models calculates the amount of waste heat (fuel heat that is not converted to electricity) that is removed from the steam used to drive the turbines that generate electricity. The waste heat is transferred to the cooling system in a thermoelectric power plant’s condenser, which is defined as the condenser duty (Diehl and others, 2013). The water-budget component of the models calculates the amount of water that is withdrawn and consumed based on plant-specific condenser duty, and environmental variables (air temperatures, water temperatures, wind speed, and elevation). The models were updated using the same formulation previously developed (Diehl and others, 2013) and updates include enhancements of automatic data collectors, nationally consistent and operational environmental variables, and simulated water temperatures for plant intakes provided by the USGS National Hydrologic Model (Regan and others, 2018; Hay and others, 2023). These new features enable reproducibility and are an important step toward an operational modeling framework for making nationally consistent historical and forecasted future water-use estimates that are independent of Federal plant-operator reported water withdrawal and consumption data. Total estimated water withdrawal (including fresh and saline sources) ranged from 132 billion gallons per day (Bgal/d) in 2008 to 80 Bgal/d in 2020. Total estimated water consumption (including only fresh sources; consumption at coastal saline plants was not modeled) ranged from 3.6 Bgal/d in 2008 to 2.7 Bgal/d in 2020. Gorman Sanisaca and others, 2023, provides monthly condenser duty estimates and associated information from 2008 to 2020 that are used by the models reported here for estimating withdrawals and consumption.

This dataset displays the amounts renewable energy that was consumed on a national basis for over 220 countries. This data covers the years from 1980 to 2005. This data includes statistics on renewable energy other than hydroelectric consumption, which will be shown in a separate dataset. This data was collected from the Energy Information Administration. It was taken from their: International Energy Annual 2005. Table Posted: September 13, 2007. Next Update: June 2008. This data is directly available at: http://www.eia.doe.gov/fuelrenewable.html Access Date: November 8, 2007

Global electricity generation has increased significantly over the past three decades, rising from less than 12,000 terawatt-hours in 1990 to over 30,000 terawatt-hours in 2024. During this period, electricity generation worldwide only registered an annual decline twice: in 2009, following the global financial crisis, and in 2020, amid the coronavirus pandemic. Sources of electricity generation The share of global electricity generated from clean energy sources –including renewables and nuclear power- amounted to almost 40 percent in 2024, up from approximately 32 percent at the beginning of the decade. Despite this growth, fossil fuels are still the main source of electricity generation worldwide. In 2024, almost 60 percent of the electricity was produced by coal and natural gas-fired plants. Regional differences Water, wind, and sun contribute to making Latin America and the Caribbean the region with the largest share of renewable electricity generated in the world. By comparison, several European countries rely on nuclear energy. However, the main electricity sources in the United States and China, the leading economic powers of the world, are respectively natural gas and coal.

The electricity output prediction market is experiencing robust growth, driven by the increasing need for reliable energy forecasting in the face of fluctuating renewable energy sources and rising energy demand. The market's expansion is fueled by the adoption of advanced analytical techniques, including machine learning and artificial intelligence, to enhance prediction accuracy and optimize grid management. Key application segments, such as daily, weekly, monthly, and annual output prediction, are all contributing to market expansion, with the daily output prediction segment currently holding the largest share due to its immediate relevance for grid stability and operational efficiency. Different deployment types, namely cloud and local deployments, cater to varied organizational needs and technological infrastructure. While cloud deployment offers scalability and accessibility, local deployment ensures data security and control. The market is geographically diversified, with North America and Europe currently leading in adoption, fueled by substantial investments in smart grids and renewable energy integration. However, Asia Pacific is projected to witness significant growth in the coming years due to rapid economic development and increasing renewable energy capacity. Companies like Enel Group, Energy & Meteo, and Toshiba are key players, constantly innovating to improve prediction accuracy and expand their service offerings. Constraints include data availability and quality, along with the complexity of integrating diverse data sources for accurate predictions. However, ongoing technological advancements and increasing government support for grid modernization are expected to mitigate these challenges. The forecast period of 2025-2033 anticipates continued market expansion, driven by the increasing penetration of renewable energy sources and the ongoing digital transformation of the energy sector. The growth will be further facilitated by the development of more sophisticated prediction models that integrate real-time data from diverse sources, including weather patterns, energy consumption patterns, and grid infrastructure conditions. The market is expected to witness a shift towards more integrated and comprehensive solutions that combine prediction with grid management and optimization tools. This trend will increase the value proposition of electricity output prediction systems and drive higher adoption rates across various geographical regions. Further segmentation by specific energy sources (solar, wind, hydro) and by utility company size will also emerge, creating more specialized niche markets. The competitive landscape is likely to remain dynamic, with existing players focusing on strategic partnerships, mergers, and acquisitions to expand their market share and service offerings.