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.

The retail price for electricity in the United States stood at an average of 12.72 U.S. dollar cents per kilowatt-hour in 2023. This is the highest figure reported in the indicated period. Nevertheless, the U.S. still has one of the lowest electricity prices worldwide. As a major producer of primary energy, energy prices are lower than in countries that are more reliant on imports or impose higher taxes. Electricity prices in the U.S. by consumer group On average, retail electricity prices in the U.S. grew by over 85 percent since the beginning of the century. However, not every sector has been affected equally by the said price increase. U.S. electricity prices for residential customers saw a much steeper increase in the period, while transportation prices increased by approximately 50 percent. Reasons for increases in electricity prices The rising prices are justified by the costs of power production and power grid maintenance. Although the production cost of electricity generated from coal, natural gas, and nuclear sources remained relatively stable, the integration of renewable energy sources, investments in smart grid technologies, growing peak demand, power blackouts caused by natural disasters, and the global energy crisis in 2022 continued to trouble the electric utility industry in recent years. Average U.S. electricity prices per state can also vary widely, with Hawaii residents experiencing some of the highest rates in the country.

The Energy Price Forecast dataset provides monthly updates to Platts Analytics' latest outlook, in addition to historical cases that enable users to easily compare how outlook has evolved over time.

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.

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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.

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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.

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4. Ethical and Compliant

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• 700M+ Verified Global Profiles: Access LinkedIn profile data for energy professionals and decision-makers worldwide.
• Leadership Insights: Connect with energy executives, project managers, and consultants driving industry advancements.
• Verified Contact Details: Gain work emails and phone numbers for targeted outreach.
• Professional Histories: Understand career trajectories, areas of expertise, and contributions to the energy sector.

Key Features of the Dataset:

1. Comprehensive Energy Professional Profiles

   • Identify and connect with professionals involved in renewable energy, oil and gas, utilities, and energy infrastructure projects.
   • Target decision-makers responsible for sustainability initiatives, technology adoption, and operational efficiency.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (solar, wind, oil and gas, utilities), geographic location, or job function.
   • Tailor campaigns to align with specific energy market needs, such as efficiency improvements or regulatory compliance.

3. Regional and Industry Insights

   • Leverage data on global energy trends, consumption patterns, and technological innovations.
   • Refine marketing strategies and business outreach based on actionable insights specific to energy markets.

4. AI-Driven Enrichment

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

Strategic Use Cases:

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

   • Analyze energy trends and technology adoption to refine product offerings, marketing strategies, and development plans.
   • Benchmark against competitors to identify growth opportunities and high-demand solutions.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers in the energy sector recruiting for roles in engineering, project management, or sustainability.
   • Provide workforce optimization platforms or training solutions tailored to the energy industry.

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   • Trust in 99% accuracy to guide data-driven decisions, refine targeting, and boost conver...

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.

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, Lori, Ararat, Aragatsotn, Tavush, Gegharkunik, Shirak, Kotayk, Syunik, Armavir, 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, Bong, Sinoe, Maryland, Margibi, Grand Gedeh, Bomi, Abia, Borno, Yobe, Katsina, Kano, Kaduna, Gombe, Jigawa, Kebbi, Oyo, 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, Jonglei, Unity, Northern Bahr el Ghazal, Upper Nile, Central Equatoria, Western Bahr el Ghazal, Eastern Equatoria, 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

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.

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Figures and underlying data for the report 'Smart Energy Research Lab: Energy tariffs, energy expenditure, and price elasticity of energy use in GB domestic buildings during the 2022/2023 heating season' which analysed:· how GB household energy tariffs changed in the heating season (defined here as October through to March inclusive) of 2022/2023 compared to the previous year,the effect of these price increases on energy usage in terms of price elasticities,how gas and electricity expenditures were affected,the effectiveness of measures adopted by households to changes their energy use in heating season 2022/2023 to reduce energy expenditure, andthe impact the Government’s Energy Price Guarantee (which set a maximum limit on energy unit costs) had on reducing energy expenditure.

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The Commodities Energy Pricing dataset delivers electricity pricing and load data for Independent System Operators (ISO) responsible for power grid operations in different regions across the United States and Canada.

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.