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.

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.

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.

This table contains 165 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; ...) ; 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).

Annual energy consumption across all City-operated facilities.

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.

This bar chart displays renewable energy consumption (% of total final energy consumption) by capital city using the aggregation average in Micronesia. The data is about countries.

Alaska's staggering energy consumption of over one billion British thermal units per capita in 2023 highlights the vast disparities in energy use across the United States. This figure, more than triple the national average of 277.8 million British thermal units, underscores the unique energy demand of America's largest state. Louisiana and North Dakota followed closely behind, with consumption rates of 908 and 892 million British thermal units per capita, respectively. Factors influencing regional U.S. energy consumption The extreme per person energy consumption in Alaska can be attributed to its cold climate and energy-intensive industries. By comparison, New York, California, and Florida were among the states with the lowest per person energy consumption in the country because of the high energy efficiency, mild temperatures, and economies based on services and low energy-intensive industries. The overall energy consumption in the U.S. states was highest in the most populated areas –Texas, California, and Florida- and lower in sparsely populated ones, such as Alaska and Wyoming. Future energy trends in the U.S. While individual states show significant variations, the U.S. country consumed approximately 94.2 quadrillion British thermal units of primary energy in 2024, a slight increase from the previous year. Oil remained the dominant energy source, followed by natural gas and renewable energies. The country's energy market has been evolving, with increased investments in renewable energy, reflecting a growing shift towards more sustainable energy sources.

This horizontal bar chart displays renewable energy consumption (% of total final energy consumption) by capital city using the aggregation average in Europe. The data is about countries.

This bar chart displays renewable energy consumption (% of total final energy consumption) by capital city using the aggregation average in South America. The data is about countries.

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.

Data showing the counts and average consumption of domestic energy consumption in Plymouth.

Electricity Consumption: Utilities: Delhi data was reported at 34,107.000 GWh in 2023. This records an increase from the previous number of 27,625.000 GWh for 2022. Electricity Consumption: Utilities: Delhi data is updated yearly, averaging 18,380.635 GWh from Mar 1996 (Median) to 2023, with 28 observations. The data reached an all-time high of 34,107.000 GWh in 2023 and a record low of 6,580.990 GWh in 1996. Electricity Consumption: Utilities: Delhi data remains active status in CEIC and is reported by Central Electricity Authority. The data is categorized under Global Database’s India – Table IN.RBE002: Electricity: Consumption: Utilities.

This horizontal bar chart displays renewable energy consumption (% of total final energy consumption) by capital city using the aggregation average in Eastern Asia. The data is about countries.

Domestic electricity consumption estimates for Glasgow based on the Intermediate Geography areas. In England the equivalent is the Middle Layer Super Output Area (MLSOA). Data is provided for ordinary domestic and Economy 7 electricity consumption (kWh) , the number of ordinary domestic and Economy 7 meters and average consumption for ordinary domestic or economy 7 consumption (kWh) for Intermediate Geography areas in Glasgow. DECC provide a methodology and guidance chapter and an accompanying factsheet The data for Scotland in this dataset should be considered as provisional because DECC report a small inconsistency (-0.01% of total consumption) between the data contained in this dataset compared to the local authority dataset for Scottish geographical codes. Data extracted 2014-03-06 from gov.uk MLSOA electricity and gas:2010 Licence: None

The Providence Municipal Energy Report discloses the City’s energy data in an effort to track progress towards the City’s energy goals, increase transparency, and lead by example. The City’s 2014 Sustainable Providence plan set a goal to reduce energy consumption 30 percent by 2030. Measuring and monitoring consumption by benchmarking buildings is an important first step to achieving this goal. Benchmarking is a means of comparing a building’s energy use to the average of similar buildings or to an established baseline.

In 2022, petroleum accounted for around **** of all final energy consumption in South Korea, with electricity accounting for nearly another ** percent. According to the source, the share of coal and LNG have both increased compared to the previous year. Electricity consumption in South Korea Electricity made up around ** percent of energy consumption in the country. This is unsurprising as South Korea is renowned for its bright city lights, filled with seemingly never-ending rows of 24-hour cafés and bars on standby for customers seeking anything but sleep. Maintaining this lifestyle, however, demands a constant and reliable source of power as electricity consumption per capita continues to rise. System marginal price (SMP) for electricity Most of the domestic electricity generation in South Korea comes from coal, nuclear, and LNG, much of which is dependent on imports. However, with a high demand for power and a volatile global market, the cost of electricity has started to strain the average household in recent years. As a response, the South Korean government introduced the SMP ceiling system at the end of 2022, limiting the wholesale price at which the Korea Electric Power Corporation (KEPCO) purchases electricity from power generation companies to protect energy consumers when prices fluctuate.

Electric, Water, and Natural Gas Consumption for City of Gainesville Properties

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.