Annual data on the average price of retail electricity to consumers. Data organized by U.S. state and by provider, i.e., total electric industry, full-service providers, restructured retail service providers, energy-only providers, and delivery-only service. Annual time series extend back to 1990. Based on Form EIA-861 data.

New York Energy Prices presents retail energy price data. Energy prices are provided by fuel type in nominal dollars per million Btu for the residential, commercial, industrial, and transportation sectors. This section includes a column in the price table displaying gross domestic product (GDP) price deflators for converting nominal (current year) dollars to constant (real) dollars. To convert nominal to constant dollars, divide the nominal energy price by the GDP price deflator for that particular year. Historical petroleum, electricity, coal, and natural gas prices were compiled primarily from the Energy Information Administration. How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

In 2023, the retail price of electricity for residential customers in the United States averaged 15.98 U.S. cents per kilowatt-hour. Households are charged more than the commercial and industrial sectors, because of the higher distribution costs. Since 2020, electricity customers have seen electricity prices increase in the U.S. and peak in 2023. The U.S. electricity market The U.S. electricity market is led by several types of electricity providers, such as cooperatives, municipal systems, and shareholder-owned electric utilities. In 2022, cooperatives were the most common type of ownership in the U.S., with more than 600 providers. That year, the U.S. electric utility industry revenue amounted to 488 billion U.S. dollars. Electricity prices around the world Electricity prices vary widely from country to country, depending on energy sources used, as well as government and industry subsidies and regulations. In 2023, Ireland and the United Kingdom had some of the highest household electricity prices worldwide. Meanwhile, U.S. households paid some of the lowest prices. However, leading oil and gas-producing regions such as the Middle East registered the cheapest rates overall.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Electricity in U.S. City Average (CUSR0000SEHF01) from Jan 1952 to Feb 2025 about electricity, urban, consumer, CPI, price index, indexes, price, and USA.

Retail residential electricity prices in the United States have mostly risen over the last decades. In 2023, prices registered a year-over-year growth of 6.3 percent, the highest growth registered since the beginning of the century. Residential prices are projected to continue to grow by two percent in 2024. Drivers of electricity price growth The price of electricity is partially dependent on the various energy sources used for generation, such as coal, gas, oil, renewable energy, or nuclear. In the U.S., electricity prices are highly connected to natural gas prices. As the commodity is exposed to international markets that pay a higher rate, U.S. prices are also expected to rise, as it has been witnessed during the energy crisis in 2022. Electricity demand is also expected to increase, especially in regions that will likely require more heating or cooling as climate change impacts progress, driving up electricity prices. Which states pay the most for electricity? Electricity prices can vary greatly depending on both state and region. Hawaii has the highest electricity prices in the U.S., at roughly 43 U.S. cents per kilowatt-hour as of May 2023, due to the high costs of crude oil used to fuel the state’s electricity. In comparison, Idaho has one of the lowest retail rates. Much of the state’s energy is generated from hydroelectricity, which requires virtually no fuel. In addition, construction costs can be spread out over decades.

Prices in US dollars per barrel of WCS oil and in Canadian dollars per gigajoule of natural gas.

This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rates with likely zip codes for both investor owned utilities (IOU) and non-investor owned utilities. Note: the files include average rates for each utility (not average rates per zip code), but not the detailed rate structure data found in the OpenEI U.S. Utility Rate Database (https://openei.org/apps/USURDB/).

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. New York Energy Prices presents retail energy price data. Energy prices are provided by fuel type in nominal dollars per million Btu for the residential, commercial, industrial, and transportation sectors. This section includes a column in the price table displaying gross domestic product (GDP) price deflators for converting nominal (current year) dollars to constant (real) dollars. To convert nominal to constant dollars, divide the nominal energy price by the GDP price deflator for that particular year. Historical petroleum, electricity, coal, and natural gas prices were compiled primarily from the Energy Information Administration.

Electricity Prices: U.S. vs Hawaii (Source: EIA)

Graph and download economic data for US Regular All Formulations Gas Price (GASREGW) from 1990-08-20 to 2025-03-24 about gas, commodities, and USA.

These data underpin an analysis of the time-sensitive impacts of energy efficiency and flexibility measures in the U.S. building sector using Scout (scout.energy.gov), a reproducible and granular model of U.S. building energy use developed by the U.S. national labs for the U.S. Department of Energy's Building Technologies Office.

The analysis applies sub-annual adjustments to U.S. baseline building energy use, cost, and emissions in order to characterize how these metrics vary across hour of the day, season, and geographic region in the U.S. building sector. These adjustments are based on daily energy load, price, and emissions shapes from various data sources and are used to re-apportion baseline energy, cost, and emissions totals from EIA's Annual Energy Outlook (AEO) Reference Case projections across all hours of a year. The resulting sub-annual baselines are specified by building sector, end use, region, and season and can be used in analyses of building efficiency and flexibility measures to quantify their time-sensitive impacts at the national scale. Analyses of these data demonstrate that energy efficiency measures continue to show strong value under a time-sensitive framework while the value of flexibility depends on assumed electricity rates, measure magnitude and duration, and the amount of savings already captured by efficiency.

The data uploaded below include CSV files that show hourly energy use, cost, and emissions totals for the U.S. building sector as well as by end-use, region, and season. An additional CSV includes residential and commercial price intensities (USD/quad) for all hours of the day based on different time-of-use (TOU) rate data from the U.S. Utility Rate Database (URDB). Further detail on each of these CSVs is given below:

• 'TSV_baseline_totals.csv': this file shows hourly total energy, cost, and emissions estimates for commercial and residential buildings in 2018 and 2030. It presents these estimates in Quads (source), Quads (site), and TWh (site). For the cost totals, it presents two estimates for each year and building sector, including one using the median TOU rate from the URDB and one using the average retail rate for the corresponding building sector. For converting source energy to site, total delivered electricity and electricity-related losses data for the residential and commercial sector are drawn from AEO Summary Table A2.
• 'TSV_baseline_end-use.csv': this file shows hourly energy, cost, and emissions estimates for commercial and residential buildings in 2018 and 2030 broken out by building end-use. It presents totals in terms of both source and site energy as above and presents cost totals based on the median TOU rate for each building sector from the URDB.
• 'TSV_baseline_region.csv': this file shows hourly energy, cost, and emissions estimates for commercial and residential space heating and cooling end uses in 2018 and 2030 for each American Institute of Architects (AIA) climate zone. It presents totals in terms of both source and site energy as above and presents cost totals based on the median TOU rate for each building sector from the URDB.
• 'TSV_baseline_region_season.csv': this file shows a similar disaggregation of the data as ‘TSV_baseline_region.csv’, but it further disaggregates results by season. The seasonal definitions are as follows: 'intermediate' (October to November; March to April), 'winter' (November to February), and 'summer' (May to September).
• 'TSV_annual_price_intensities.csv': this file presents annual hourly price intensities for the commercial and residential building sectors in 2018 and 2030 based on different TOU rate data from the URDB. Three different rate structures are included for each building sector, and these are the 5th, 50th, and 95th percentile of all existing commercial and residential TOU rates in the URDB in terms of their peak to off-peak price ratio.

The Average Residential Retail Kerosene Prices dataset provides New York residents and businesses with objective information on average residential retail kerosene pricing in New York State and by region beginning September 4, 2000. Pricing data is obtained via surveys conducted by New York State Energy Research and Development Authority (NYSERDA) staff on a weekly basis during heating season (September to March) and bi-weekly during the rest of the year. All prices are listed in dollars per gallon.

The Average Home Heating Oil Prices dataset, Average Residential Retail Kerosene Prices dataset, and Average Residential Retail Propane Prices dataset are collectively referred to as the Heating Fuel Prices dataset.

For current and historical residential retail price data, regional comparisons, and fuel type comparisons, please visit the Kerosene Prices Dashboard: https://www.nyserda.ny.gov/researchers-and-policymakers/energy-prices/kerosene/average-kerosene-prices

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on Twitter, Facebook, YouTube, or Instagram.

Graph and download economic data for Producer Price Index by Commodity: Final Demand: Government Purchased Energy (WPUFD4122) from Nov 2009 to Feb 2025 about final demand, purchase, energy, government, commodities, PPI, inflation, price index, indexes, 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!

Graph and download economic data for Producer Price Index by Industry: Electric Power Generation: Utilities (PCU2211102211104) from Dec 2003 to Feb 2025 about power transmission, utilities, electricity, PPI, industry, inflation, price index, indexes, price, and USA.