Households in Great Britain will have their energy bills capped at 2,500 British pounds per year from October 2022 onwards, due to the measures introduced by the UK government in September of 2022. This will result in savings of around 1,050 for the average household, compared with the previous price cap, which was set to increase to 3,459 per year.

In Great Britain, the least expensive tariff for a domestic dual fuel and direct debit customer with large legacy suppliers was around 150 British pounds sterling less than the average standard variable tariff in October 2024. In that same month, the average standard variable tariff for large legacy suppliers were just below the price cap of 1,717 British pounds sterling set by the Energy Price Guarantee (EPG) for the last quarter of 2024.

New York Energy Prices presents retail energy price data. Energy prices are provided by fuel type in nominal dollars per specified physical unit 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.

Graph and download economic data for Global price of Energy index (PNRGINDEXM) from Jan 1992 to Jun 2025 about energy, World, indexes, and price.

The Electricity Supply industry has developed considerably since its liberalisation in 1999. Following a period in which the Big Six suppliers dominated, energy regulator Ofgem endeavoured to introduce greater competition to the market as part of attempts to drive down energy bills. Major mergers and acquisitions effectively brought the dominance of the former Big Six suppliers to an end at the end of 2019-20. Along with weakening electricity consumption, swelling competition has applied further pressure on revenue in recent years. Electricity suppliers' revenue is slated to climb at a compound annual rate of 6.2% to reach £52.1 billion over the five years through 2025-26. With suppliers bound by the energy price cap, soaring wholesale prices led to widening operating losses in 2021-22, albeit with a modest revenue recovery from pandemic-induced lows. A renewed spike in wholesale prices led to a continued wave of insolvencies among energy suppliers going into 2022-23, with 31 suppliers falling victim to the energy crisis. Soaring non-domestic energy bills and significant hikes to the SVT price cap spurred significant revenue growth in 2022-23, while the transfer of customer accounts from failed suppliers reinstated the dominance of major suppliers. The introduction of the Energy Price Guarantee (EPG) and support for business energy customers prevented energy prices from spiralling out of control going into 2023-24. A faster-than-anticipated drop in wholesale electricity prices has since eased pressure on operating profit and caused revenue to come-down. However, wholesale prices and energy bills remain significantly above levels seen prior to the energy crisis. Revenue is forecast to decline by 4.5% in the current year. Revenue is forecast to creep up at a compound annual rate of 0.1% over the five years through 2030-31, reaching £52.3 billion. Prices will remain elevated in the medium term as concerns surrounding supplies of Russian fossil fuels into Europe inflate wholesale costs. Wholesale prices are set to stabilise in the long term, spurring tariff reductions. The continued drop in electricity consumption is also set to limit growth prospects in the coming years.

The 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.

In 2024, the global average of the levelized cost of electricity (LCOE) produced from onshore wind plants reached 34 U.S. dollars per megawatt-hour generated. This energy source accounted for the smallest LCOE that year, while nuclear energy had the highest.

This table contains consumer prices for electricity and gas. Weighted average monthly prices are published broken down into transport rate, delivery rates and taxes, both including and excluding VAT. These prices are published on a monthly basis. The prices presented in this table were used to compile the CPI up to May 2023. Prices for newly offered contracts were collected. Contract types that are no longer offered, but have been in previous reporting periods, are imputed. The average can therefore diverge from the prices paid for energy contracts by Dutch households.

Data available from January 2018 up to May 2023.

Status of the figures: The figures are definitive.

Changes as of 17 July 2023: This table will no longer be updated. Due to a change in the underlying data and accompanying method for calculcating average energy prices, a new table was created. See paragraph 3.

Changes as of 13 February: Average delivery rates are not shown in this table from January 2023 up to May 2023. With the introduction of the price cap, the average energy rates (delivery rates) of fixed and variable energy contracts together remained useful for calculating a development for the CPI. However, as a pricelevel, they are less useful. Average energy prices from January 2023 up to May 2023 are published in a customized table. In this publication, only data concerning new variable contracts are taken into account

When will new figures be published? Does not apply.

Ireland, Italy, and Germany had some of the highest household electricity prices worldwide, as of March 2025. At the time, Irish households were charged around 0.45 U.S. dollars per kilowatt-hour, while in Italy, the price stood at 0.43 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.

Abstract

Energy price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes energy price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes

The data cover the following sub-national areas: Badakhshan, Badghis, Baghlan, Balkh, Bamyan, Daykundi, Farah, Faryab, Paktya, Ghazni, Ghor, Hilmand, Hirat, Nangarhar, Jawzjan, Kabul, Kandahar, Kapisa, Khost, Kunar, Kunduz, Laghman, Logar, Wardak, Nimroz, Nuristan, Paktika, Panjsher, Parwan, Samangan, Sar-e-pul, Takhar, Uruzgan, Zabul, Market Average, Armavir, Ararat, Aragatsotn, Tavush, Gegharkunik, Shirak, Kotayk, Syunik, Lori, Vayotz Dzor, Yerevan, Kanifing Municipal Council, Central River, Upper River, West Coast, North Bank, Lower River, Bafata, Tombali, Cacheu, Sector Autonomo De Bissau, Biombo, Oio, Gabu, Bolama, Quinara, Anbar, Babil, Baghdad, Basrah, Diyala, Dahuk, Erbil, Ninewa, Kerbala, Kirkuk, Missan, Muthanna, Najaf, Qadissiya, Salah al-Din, Sulaymaniyah, Thi-Qar, Wassit, Attapeu, Bokeo, Bolikhamxai, Champasack, Houaphan, Khammouan, Louangphabang, Louangnamtha, Oudomxai, Phongsaly, Salavan, Savannakhet, Sekong, Vientiane Capital, Vientiane, Xaignabouly, Xiengkhouang, Akkar, Mount Lebanon, Baalbek-El Hermel, North, Beirut, Bekaa, El Nabatieh, South, Nimba, Grand Kru, Grand Cape Mount, Gbarpolu, Grand Bassa, Rivercess, Montserrado, River Gee, Lofa, Bomi, Bong, Sinoe, Maryland, Margibi, Grand Gedeh, Abia, Borno, Yobe, Katsina, Kano, Kaduna, Gombe, Jigawa, Kebbi, Oyo, Sokoto, Zamfara, Lagos, Adamawa, Shabelle Hoose, Juba Hoose, Bay, Banadir, Shabelle Dhexe, Gedo, Hiraan, Woqooyi Galbeed, Awdal, Bari, Juba Dhexe, Togdheer, Nugaal, Galgaduud, Bakool, Sanaag, Mudug, Sool, , Warrap, Unity, Jonglei, Northern Bahr el Ghazal, Upper Nile, Eastern Equatoria, Central Equatoria, Western Bahr el Ghazal, Western Equatoria, Lakes, Aleppo, Dar'a, Quneitra, Homs, Deir-ez-Zor, Damascus, Ar-Raqqa, Al-Hasakeh, Hama, As-Sweida, Rural Damascus, Tartous, Idleb, Lattakia, Al Dhale'e, Aden, Al Bayda, Al Maharah, Lahj, Al Jawf, Raymah, Al Hudaydah, Hajjah, Amran, Shabwah, Dhamar, Ibb, Sana'a, Al Mahwit, Marib, Hadramaut, Sa'ada, Amanat Al Asimah, Socotra, Taizz, Abyan

The global energy price index stood at around 101.5 in 2024. Energy prices were on a decreasing trend that year, and forecasts suggest the price index would decrease below 80 by 2026. Price indices show the development of prices for goods or services over time relative to a base year. Commodity prices may be dependent on various factors, from supply and demand to overall economic growth. Electricity prices around the world As with overall fuel prices, electricity costs for end users are dependent on power infrastructure, technology type, domestic production, and governmental levies and taxes. Generally, electricity prices are lower in countries with great coal and gas resources, as those have historically been the main sources for electricity generation. This is one of the reasons why electricity prices are lowest in resource-rich countries such as Iran, Qatar, and Russia. Meanwhile, many European governments that have introduced renewable surcharges to support the deployment of solar and wind power and are at the same time dependent on fossil fuel imports, have the highest household electricity prices. Benchmark oil prices One of the commodities found within the energy market is oil. Oil is the main raw material for all common motor fuels, from gasoline to kerosene. In resource-poor and remote regions such as the United States' states of Alaska and Hawaii, or the European country of Cyprus, it is also one of the largest sources for electricity generation. Benchmark oil prices such as Europe’s Brent, the U.S.' WTI, or the OPEC basket are often used as indicators for the overall energy price development.

Data tables for Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2022: Annual Supplement to NIST Handbook 13Starting in the 2022 Annual Supplement to Handbook 135, the data tables within the text document has been extracted and provided in a supplemental spreadsheet. The reasons for creating a separate data file is to (1) make the text document smaller and easier to navigate, (2) provide the data in a format that is more accessible to a user, particularly those that want to incorporate the data tables into their own calculations or tools, and (3) streamline the process for the annual release of the data.There are numerous data sources used in developing these data tables, including EIA, OMB, and Federal Reserve. Process is discussed in Annual Supplement to Handbook 135.

Energy price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations.
This data set includes energy price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Germany Electricity decreased 18.76 EUR/MWh or 16.21% 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.

Motor Gasoline Price: Premium: EIA: End User: Retail Outlets data was reported at 2.787 USD/gal in Apr 2018. This records an increase from the previous number of 2.649 USD/gal for Mar 2018. Motor Gasoline Price: Premium: EIA: End User: Retail Outlets data is updated monthly, averaging 1.148 USD/gal from Jan 1983 (Median) to Apr 2018, with 424 observations. The data reached an all-time high of 3.833 USD/gal in Jun 2008 and a record low of 0.656 USD/gal in Nov 1986. Motor Gasoline Price: Premium: EIA: End User: Retail Outlets data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s USA – Table US.P002: Energy Price.

Success.ai’s LinkedIn Data for Energy Professionals Worldwide provides a powerful dataset tailored to businesses and organizations aiming to connect with key decision-makers and professionals in the global energy sector. Covering roles such as energy consultants, project managers, engineers, and executives, this dataset offers verified LinkedIn profiles, work emails, professional histories, and actionable insights.

With access to over 700 million verified global profiles, Success.ai ensures your marketing, outreach, and partnership strategies are driven by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to excel in the dynamic and evolving energy landscape.

Why Choose Success.ai’s LinkedIn Data?

1. Verified Contact Data for Precision Engagement

   • Access verified LinkedIn profiles, work emails, and professional histories of energy professionals worldwide.
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   • Includes professionals from top energy hubs such as North America, Europe, the Middle East, and Asia-Pacific.
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   • Real-time updates ensure profiles remain accurate and reflect the latest career moves and industry changes.
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Data Highlights:

• 700M+ Verified Global Profiles: Access LinkedIn profile data for energy professionals and decision-makers worldwide.
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Key Features of the Dataset:

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   • Identify and connect with professionals involved in renewable energy, oil and gas, utilities, and energy infrastructure projects.
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   • Refine marketing strategies and business outreach based on actionable insights specific to energy markets.

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   • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and improve engagement outcomes.

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1. Marketing Campaigns and Lead Generation

   • Design targeted campaigns to promote energy solutions, renewable technologies, or consultancy services to energy professionals globally.
   • Use verified contact data for multi-channel outreach, including email, phone, and social platforms.

2. Partnership Development and Collaboration

   • Build relationships with energy companies, renewable energy providers, and utilities seeking strategic alliances.
   • Foster collaborations that enhance energy efficiency, expand renewable adoption, or improve grid resilience.

3. Market Research and Competitive Analysis

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   • Benchmark against competitors to identify growth opportunities and high-demand solutions.

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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.

Quarterly data and statistics on energy prices to domestic and industrial consumers for all the major fuels. Accredited Official Statistics Alternative title: QEP