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This comprehensive dataset offers a detailed look at the United States electricity market, providing valuable insights into prices, sales, and revenue across various states, sectors, and years. With data spanning from 2001 onwards to 2024, this dataset is a powerful tool for analyzing the complex dynamics of the US electricity market and understanding how it has evolved over time.
The dataset includes eight key variables:
| Column Name | Description |
|-------|-------|
| year | The year of the observation |
| month | The month of the observation |
| stateDescription | The name of the state |
| sectorName | The sector of the electricity market (residential, commercial, industrial, other, or all sectors) |
| customers | The number of customers (missing for some observations) |
| price | The average price of electricity per kilowatt-hour (kWh) in cents |
| revenue | The total revenue generated from electricity sales in millions of dollars |
| sales | The total electricity sales in millions of kilowatt-hours (kWh) |
By providing such granular data, this dataset enables users to conduct in-depth analyses of electricity market trends, comparing prices and consumption patterns across different states and sectors, and examining the impact of seasonality on demand and prices.
One of the primary applications of this dataset is in forecasting future electricity prices and sales based on historical trends. By leveraging the extensive time series data available, researchers and analysts can develop sophisticated models to predict how prices and demand may change in the coming years, taking into account factors such as economic growth, population shifts, and policy changes. This predictive power is invaluable for policymakers, energy companies, and investors looking to make informed decisions in the rapidly evolving electricity market.
Another key use case for this dataset is in investigating the complex relationships between electricity prices, sales volumes, and revenue. By combining the price, sales, and revenue data, users can explore how changes in prices impact consumer behavior and utility company bottom lines. This analysis can shed light on important questions such as the price elasticity of electricity demand, the effectiveness of energy efficiency programs, and the potential impact of new technologies like renewable energy and energy storage on the market.
Beyond its immediate applications in the energy sector, this dataset also has broader implications for understanding the US economy and society as a whole. Electricity is a critical input for businesses and households across the country, and changes in electricity prices and consumption can have far-reaching effects on economic growth, competitiveness, and quality of life. By providing such a rich and detailed portrait of the US electricity market, this dataset opens up new avenues for research and insights that can inform public policy, business strategy, and academic inquiry.
I hope you all enjoy using this dataset and find it useful! 🤗
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TwitterIn 2022, the average end-use electricity price in the United States stood at around 12.2 U.S. cents per kilowatt-hour. This figure is projected to decrease in the coming three decades, to reach some 11 U.S. cents per kilowatt-hour by 2050.
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Context
Dataset Contains the price of electricity.
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Germany Electricity decreased 17.60 EUR/MWh or 15.21% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for Germany Electricity Price.
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TwitterIndustrial consumers of electricity in the United States paid an average of 8.15 U.S. dollar cents per kilowatt-hour in 2024. This was an increase compared to the previous year, when prices peaked at 8.3 U.S. dollar cents per kilowatt-hour. Prices are forecast to increase further to 8.32 U.S. dollar cents per kilowatt-hour by the end of 2025.
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TwitterThe average wholesale electricity price in September 2025 in the United Kingdom is forecast to amount to*******British pounds per megawatt-hour, a decrease from the previous month. A record high was reached in August 2022 when day-ahead baseload contracts averaged ***** British pounds per megawatt-hour. Electricity price stabilization in Europe Electricity prices increased in 2024 compared to the previous year, when prices stabilized after the energy supply shortage. Price spikes were driven by the growing wholesale prices of natural gas and coal worldwide, which are among the main sources of power in the region.
… and in the United Kingdom? The United Kingdom was one of the countries with the highest electricity prices worldwide during the energy crisis. Since then, prices have been stabilizing, almost to pre-energy crisis levels. The use of nuclear, wind, and bioenergy for electricity generation has been increasing recently. The fuel types are an alternative to fossil fuels and are part of the country's power generation plans going into the future.
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Dataset Description Title: Electricity Market Dataset for Long-Term Forecasting (2018–2024)
Overview: This dataset provides a comprehensive collection of electricity market data, focusing on long-term forecasting and strategic planning in the energy sector. The data is derived from real-world electricity market records and policy reports from Germany, specifically the Frankfurt region, a major European energy hub. It includes hourly observations spanning from January 1, 2018, to December 31, 2024, covering key economic, environmental, and operational factors that influence electricity market dynamics. This dataset is ideal for predictive modeling tasks such as electricity price forecasting, renewable energy integration planning, and market risk assessment.
Features Description Feature Name Description Type Timestamp The timestamp for each hourly observation. Datetime Historical_Electricity_Prices Hourly historical electricity prices in the Frankfurt market. Continuous (Float) Projected_Electricity_Prices Forecasted electricity prices (short, medium, long term). Continuous (Float) Inflation_Rates Hourly inflation rate trends impacting energy markets. Continuous (Float) GDP_Growth_Rate Hourly GDP growth rate trends for Germany. Continuous (Float) Energy_Market_Demand Hourly electricity demand across all sectors. Continuous (Float) Renewable_Investment_Costs Investment costs (capital and operational) for renewable energy projects. Continuous (Float) Fossil_Fuel_Costs Costs for fossil fuels like coal, oil, and natural gas. Continuous (Float) Electricity_Export_Prices Prices for electricity exports from Germany to neighboring regions. Continuous (Float) Market_Elasticity Sensitivity of electricity demand to price changes. Continuous (Float) Energy_Production_By_Solar Hourly solar energy production. Continuous (Float) Energy_Production_By_Wind Hourly wind energy production. Continuous (Float) Energy_Production_By_Coal Hourly coal-based energy production. Continuous (Float) Energy_Storage_Capacity Available storage capacity (e.g., batteries, pumped hydro). Continuous (Float) GHG_Emissions Hourly greenhouse gas emissions from energy production. Continuous (Float) Renewable_Penetration_Rate Percentage of renewable energy in total energy production. Continuous (Float) Regulatory_Policies Categorical representation of regulatory impact on electricity markets (e.g., Low, Medium, High). Categorical Energy_Access_Data Categorization of energy accessibility (Urban or Rural). Categorical LCOE Levelized Cost of Energy by source. Continuous (Float) ROI Return on investment for energy projects. Continuous (Float) Net_Present_Value Net present value of proposed energy projects. Continuous (Float) Population_Growth Population growth rate trends impacting energy demand. Continuous (Float) Optimal_Energy_Mix Suggested optimal mix of renewable, non-renewable, and nuclear energy. Continuous (Float) Electricity_Price_Forecast Predicted electricity prices based on various factors. Continuous (Float) Project_Risk_Analysis Categorical analysis of project risks (Low, Medium, High). Categorical Investment_Feasibility Indicator of the feasibility of energy investments. Continuous (Float) Use Cases Electricity Price Forecasting: Utilize historical and projected price trends to predict future electricity prices. Project Risk Classification: Categorize projects into risk levels for better decision-making. Optimal Energy Mix Analysis: Analyze the balance between renewable, non-renewable, and nuclear energy sources. Policy Impact Assessment: Study the effect of regulatory and market policies on energy planning. Long-Term Strategic Planning: Provide insights into investment feasibility, GHG emission reduction, and energy market dynamics. Acknowledgment This dataset is based on publicly available records and market data specific to the Frankfurt region, Germany. The dataset is designed for research and educational purposes in energy informatics, computational intelligence, and long-term forecasting.
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Graph and download economic data for Global price of Energy index (PNRGINDEXM) from Jan 1992 to Jun 2025 about energy, World, indexes, and price.
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This dataset provides values for ELECTRICITY PRICE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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Graph and download economic data for Average Price: Electricity per Kilowatt-Hour in Los Angeles-Long Beach-Anaheim, CA (CBSA) (APUS49A72610) from Nov 1978 to Dec 2024 about Los Angeles, electricity, energy, urban, CA, retail, price, and USA.
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France Electricity decreased 21.25 EUR/MWh or 30.42% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for France Electricity Price.
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United States EIA Forecast: Electricity Price: Retail: Residential Sector data was reported at 13.027 0.01 USD/kWh in Dec 2019. This records a decrease from the previous number of 13.488 0.01 USD/kWh for Nov 2019. United States EIA Forecast: Electricity Price: Retail: Residential Sector data is updated monthly, averaging 13.050 0.01 USD/kWh from Mar 2016 (Median) to Dec 2019, with 46 observations. The data reached an all-time high of 13.716 0.01 USD/kWh in Sep 2019 and a record low of 12.002 0.01 USD/kWh in Jan 2017. United States EIA Forecast: Electricity Price: Retail: Residential Sector data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s USA – Table US.P003: Energy Price: Forecast: Energy Information Administration.
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Finland - Electricity prices: Medium size households was EUR0.29 Kilowatt-hour in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Finland - Electricity prices: Medium size households - last updated from the EUROSTAT on December of 2025. Historically, Finland - Electricity prices: Medium size households reached a record high of EUR0.29 Kilowatt-hour in December of 2024 and a record low of EUR0.13 Kilowatt-hour in December of 2010.
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Graph and download economic data for Average Price: Electricity per Kilowatt-Hour in Chicago-Naperville-Elgin, IL-IN-WI (CBSA) (APUS23A72610) from Nov 1978 to Dec 2024 about Chicago, electricity, energy, WI, IN, IL, urban, retail, price, and USA.
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Italy Electricity decreased 4.07 EUR/MWh or 2.96% since the beginning of 2025, according to the latest spot benchmarks offered by sellers to buyers priced in megawatt hour (MWh). This dataset includes a chart with historical data for Italy Electricity Price.
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TwitterIn the third quarter of 2025, Bermuda had the highest household electricity prices worldwide, followed by Ireland, Italy, and Germany. At the time, Irish households were charged around 0.44 U.S. dollars per kilowatt-hour, while in Italy, the price stood at 0.42 U.S. dollars per kilowatt-hour. By comparison, in Russia, residents paid almost 10 times less. What is behind electricity prices? Electricity prices vary widely across the world and sometimes even within a country itself, depending on factors like infrastructure, geography, and politically determined taxes and levies. For example, in Denmark, Belgium, and Sweden, taxes constitute a significant portion of residential end-user electricity prices. Reliance on fossil fuel imports Meanwhile, thanks to their great crude oil and natural gas production output, countries like Iran, Qatar, and Russia enjoy some of the cheapest electricity prices in the world. Here, the average household pays less than 0.1 U.S. dollars per kilowatt-hour. In contrast, countries heavily reliant on fossil fuel imports for electricity generation are more vulnerable to market price fluctuations.
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United States EIA Forecast: Electricity Price: Retail: Commercial Sector data was reported at 10.525 0.01 USD/kWh in Dec 2019. This records a decrease from the previous number of 10.693 0.01 USD/kWh for Nov 2019. United States EIA Forecast: Electricity Price: Retail: Commercial Sector data is updated monthly, averaging 10.623 0.01 USD/kWh from Mar 2016 (Median) to Dec 2019, with 46 observations. The data reached an all-time high of 11.168 0.01 USD/kWh in Sep 2019 and a record low of 9.844 0.01 USD/kWh in Jan 2017. United States EIA Forecast: Electricity Price: Retail: Commercial Sector data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s United States – Table US.P003: Energy Price: Forecast: Energy Information Administration.
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TwitterIn 2022, the electricity price index was calculated at around ***** points. While this marked a significant increase compared to the base year of 2005, it was still the lowest electricity index value since 2012.
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TwitterComplete dataset of average residential and commercial electricity rates in cents per kWh for all 50 states and D.C. as of December 2025.
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View monthly updates and historical trends for North Carolina Electric Utility Retail Price. Source: Energy Information Administration. Track economic dat…
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This comprehensive dataset offers a detailed look at the United States electricity market, providing valuable insights into prices, sales, and revenue across various states, sectors, and years. With data spanning from 2001 onwards to 2024, this dataset is a powerful tool for analyzing the complex dynamics of the US electricity market and understanding how it has evolved over time.
The dataset includes eight key variables:
| Column Name | Description |
|-------|-------|
| year | The year of the observation |
| month | The month of the observation |
| stateDescription | The name of the state |
| sectorName | The sector of the electricity market (residential, commercial, industrial, other, or all sectors) |
| customers | The number of customers (missing for some observations) |
| price | The average price of electricity per kilowatt-hour (kWh) in cents |
| revenue | The total revenue generated from electricity sales in millions of dollars |
| sales | The total electricity sales in millions of kilowatt-hours (kWh) |
By providing such granular data, this dataset enables users to conduct in-depth analyses of electricity market trends, comparing prices and consumption patterns across different states and sectors, and examining the impact of seasonality on demand and prices.
One of the primary applications of this dataset is in forecasting future electricity prices and sales based on historical trends. By leveraging the extensive time series data available, researchers and analysts can develop sophisticated models to predict how prices and demand may change in the coming years, taking into account factors such as economic growth, population shifts, and policy changes. This predictive power is invaluable for policymakers, energy companies, and investors looking to make informed decisions in the rapidly evolving electricity market.
Another key use case for this dataset is in investigating the complex relationships between electricity prices, sales volumes, and revenue. By combining the price, sales, and revenue data, users can explore how changes in prices impact consumer behavior and utility company bottom lines. This analysis can shed light on important questions such as the price elasticity of electricity demand, the effectiveness of energy efficiency programs, and the potential impact of new technologies like renewable energy and energy storage on the market.
Beyond its immediate applications in the energy sector, this dataset also has broader implications for understanding the US economy and society as a whole. Electricity is a critical input for businesses and households across the country, and changes in electricity prices and consumption can have far-reaching effects on economic growth, competitiveness, and quality of life. By providing such a rich and detailed portrait of the US electricity market, this dataset opens up new avenues for research and insights that can inform public policy, business strategy, and academic inquiry.
I hope you all enjoy using this dataset and find it useful! 🤗