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.

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.

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.

Taiwan Electricity Consumption: Taipei City data was reported at 16,390,416.915 kWh th in 2017. This records a decrease from the previous number of 16,531,449.703 kWh th for 2016. Taiwan Electricity Consumption: Taipei City data is updated yearly, averaging 16,255,143.697 kWh th from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 17,233,757.018 kWh th in 2008 and a record low of 12,776,000.000 kWh th in 1998. Taiwan Electricity Consumption: Taipei City data remains active status in CEIC and is reported by Taiwan Power Company. The data is categorized under Global Database’s Taiwan – Table TW.RB008: Energy Consumption: Electricity: By Region: Taiwan Power Company (Annual).

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.

China Energy Consumption: Daily Average: Electricity data was reported at 24,210.000 kWh mn in 2022. This records an increase from the previous number of 23,340.000 kWh mn for 2021. China Energy Consumption: Daily Average: Electricity data is updated yearly, averaging 4,270.541 kWh mn from Dec 1980 (Median) to 2022, with 42 observations. The data reached an all-time high of 24,210.000 kWh mn in 2022 and a record low of 82.000 kWh mn in 1980. China Energy Consumption: Daily Average: Electricity data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Utility Sector – Table CN.RCB: Electricity Summary.

This table shows regional figures on the average consumption of energy (natural gas and electricity) of private dwellings broken down by type of dwelling and ownership for Nederland, group of provinces, provinces and municipalities. Besides, for total dwellings only, the share of heat distribution (district heating) has been added, because this is relevant for the interpretation of the height of the average consumption of natural gas.

Data available from: 2010

Status of the figures: All figures from 2010 - 2021 are definite. Figures of 2022 are provisional.

Changes as of October 2023: Provisional figures of 2022 have been added. Figures of 2021 have been updated. The category “Average consumption of electricity” is replaced by “Average supply of electricity” and a category “Average net supply of electricity” has been added.

When will new figures be published? A revision to the method of this statistic is currently underway, causing the table to be delayed. New figures will come in the 3rd quarter of the folowing year.

Electricity consumption in the United States totaled ***** 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 ** million people, consumed over *** terawatt-hours. California and Florida trailed in second and third, each with an annual consumption of approximately *** terawatt-hours.

Electricity Consumption: Residential: Anhui: Huangshan data was reported at 0.348 kWh bn in 2016. This records an increase from the previous number of 0.300 kWh bn for 2015. Electricity Consumption: Residential: Anhui: Huangshan data is updated yearly, averaging 0.191 kWh bn from Dec 2004 (Median) to 2016, with 13 observations. The data reached an all-time high of 0.348 kWh bn in 2016 and a record low of 0.077 kWh bn in 2004. Electricity Consumption: Residential: Anhui: Huangshan data remains active status in CEIC and is reported by Huangshan Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Utility Sector – Table CN.RCE: Electricity Consumption: Residential Use: Prefecture Level City.

Detailed household load and solar generation in minutely to hourly resolution. This data package contains measured time series data for several small businesses and residential households relevant for household- or low-voltage-level power system modeling. The data includes solar power generation as well as electricity consumption (load) in a resolution up to single device consumption. The starting point for the time series, as well as data quality, varies between households, with gaps spanning from a few minutes to entire days. All measurement devices provided cumulative energy consumption/generation over time. Hence overall energy consumption/generation is retained, in case of data gaps due to communication problems. Measurements were conducted 1-minute intervals, with all data made available in an interpolated, uniform and regular time interval. All data gaps are either interpolated linearly, or filled with data of prior days. Additionally, data in 15 and 60-minute resolution is provided for compatibility with other time series data. Data processing is conducted in Jupyter Notebooks/Python/pandas.

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 generation 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 over 90 percent of new electricity capacity in 2024. 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.

The East of England accounted for the highest average household electricity consumption in Great Britain in 2022. That year, it added up to 3,720 kilowatt-hours per household. In comparison, households in the North East of England had the lowest average consumption, at 2,906 kilowatt-hours per household. End user consumption of electricity in the UK Despite continual annual declines in consumption since 2005, households have remained the largest electricity end-users in the UK since 2005. In 2020, amidst lockdown measures following the coronavirus outbreak, the gap between domestic and industrial consumption grew even wider. In 2022, domestic electricity consumption in the UK amounted to 96 terawatt-hours, while industrial consumption recorded the lowest figure of the century, at some 85 terawatt-hours. Declining electricity consumption in the UK Electricity consumption in the UK has seen a dramatic decrease in the past two decades, at least partially related to increased efficiency in equipment and distribution. In 2022, consumption from all electricity suppliers in the UK stood at 275 terawatt-hours. Projections indicate that the UK's electricity consumption will resume a growing trend after 2025, to surpass 32 million tons of oil equivalent in 2040.

The Nordic countries of Iceland, Norway, Finland, and Sweden recorded the largest electricity demand per capita in Europe over the last few years. In 2023, Iceland’s per capita electricity demand averaged at almost 52 megawatt-hours per person, more than twice the consumption of runner-up Norway. Meanwhile, France, the largest electricity producer among the European Union countries, had an average per capita consumption of seven megawatt-hours in 2024. Why is electricity consumption so high in Iceland? The intense electricity consumption in Iceland stems from a combination of factors. On the one hand, due to its abundant natural resources, hydro and geothermal are the main sources of electricity generation in Iceland, allowing the country to produce power at high reliability and very low costs. Meanwhile, on the demand side, Iceland is home to some particularly energy-intensive industries – in 2023, it ranked among the largest aluminum smelter producers worldwide. To top it off, electricity demand is also high on the household sector side, due to the Nordic country’s long, dark, and cold winters. A similar combination of factors can also be found in Norway. How cheap is electricity in Iceland? In 2024, household electricity prices in Iceland averaged between 18 and 22.2 euro cents per kilowatt-hour, depending on the level of demand. In comparison to the average household electricity price in the European Union in the same period, it was around 40 percent cheaper. Iceland had one of the lowest residential electricity prices in Europe. On the other side of the spectrum, Germany, Denmark, and Belgium reported the highest prices in the region.

This table contains 1155 series, with data for years 2011-2019 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Type of dwelling (7 items: Single-detached; Double; Row or terrace; Duplex; ...); Energy type (4 items: Total, all energy types; Electricity; Natural gas; Heating oil); Energy consumption (4 items: Gigajoules; Gigajoules per household; Proportion of total energy; Number of households).

China had a total electricity consumption of around ***** terawatt hours in 2024. This was an increase compared to the previous year, when consumption amounted to approximately ***** terawatt hours. The secondary sector, which comprises the manufacturing industries, is China's main electricity consuming sector.

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.

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

Google’s energy consumption has increased over the last few years, reaching 25.9 terawatt hours in 2023, up from 12.8 terawatt hours in 2019. The company has made efforts to make its data centers more efficient through customized high-performance servers, using smart temperature and lighting, advanced cooling techniques, and machine learning. Datacenters and energy Through its operations, Google pursues a more sustainable impact on the environment by creating efficient data centers that use less energy than the average, transitioning towards renewable energy, creating sustainable workplaces, and providing its users with the technological means towards a cleaner future for the future generations. Through its efficient data centers, Google has also managed to divert waste from its operations away from landfills. Reducing Google’s carbon footprint Google’s clean energy efforts is also related to their efforts to reduce their carbon footprint. Since their commitment to using 100 percent renewable energy, the company has met their targets largely through solar and wind energy power purchase agreements and buying renewable power from utilities. Google is one of the largest corporate purchasers of renewable energy in the world.

This data set contains historical electricity sales, historical number of customers, and historical average electricity prices.