Gasoline fell to 1.86 USD/Gal on December 2, 2025, down 0.53% from the previous day. Over the past month, Gasoline's price has fallen 2.79%, and is down 4.95% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gasoline - values, historical data, forecasts and news - updated on December of 2025.

Natural gas rose to 4.94 USD/MMBtu on December 3, 2025, up 2.04% from the previous day. Over the past month, Natural gas's price has risen 13.71%, and is up 62.29% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on December of 2025.

Monthly average retail prices for gasoline and fuel oil for Canada, selected provincial cities, Whitehorse and Yellowknife. Prices are presented for the current month and previous four months. Includes fuel type and the price in cents per litre.

Graph and download economic data for US Regular All Formulations Gas Price (GASREGW) from 1990-08-20 to 2025-12-01 about gas, commodities, and USA.

Gasoline retail prices weekly average by region dataset provides the weekly average retail gasoline prices for New York State and sixteen New York metropolitan regions in U.S. dollars per gallon. Data is a weekly average from January 2017 through current. Average daily retail gasoline prices are collected from the American Automobile Association (AAA) Daily Fuel Gauge Report. The AAA Daily Fuel Gauge Report prices are averaged to produce a weekly average retail price for New York State and each metropolitan region. The New York State metropolitan regions in the dataset are Albany (Albany-Schenectady-Troy), Batavia, Binghamton, Buffalo (Buffalo-Niagara Falls), Dutchess (Dutchess-Putnam), Elmira, Glens Falls, Ithaca, Kingston, Nassau (Nassau-Suffolk), New York City, Rochester, Syracuse, Utica (Utica-Rome), Watertown (Watertown-Fort Drum), and White Plains. 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 https://nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

Trinidad and Tobago's fuel is subsidized. The prices have been steadily increasing since 2012 to help offset the subsidy as crude oil prices fluctuate. This is a dataset of the fuels that I have been actively tracking.

UK Gas fell to 72.60 GBp/thm on December 2, 2025, down 1.67% from the previous day. Over the past month, UK Gas's price has fallen 11.75%, and is down 40.33% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. UK Natural Gas - values, historical data, forecasts and news - updated on December of 2025.

En este dataset encontrará información sobre los precios de los combustibles en Perú. La fuente es el [sitio web] oficial(https://www.facilito.gob.pe/facilito/pages/facilito/buscadorEESS.jsp) de Osinergmin, esta es la entidad estatal encargada de subir los precios oficiales de las gasolineras en Perú. Los datos los proporciona cada gasolinera según la ley. | Primera Fecha | Última Fecha | Registros por día | | --- | --- | --- | | Febrero 6, 2024 | Junio 8, 2024 | 2 |

Como puede ver arriba, el script extrae los datos 2 veces al día, 9:45 am y 6:00 pm (UTC-5 PET hora de Perú).

Los valores atípicos no se eliminan, pero se etiquetan siguiendo esta fórmula en Python:

grouped = df_now.groupby(["Departamento", "Provincia", "Distrito", "Producto"])
for group in grouped:
  prices_p = group[1]['Precio']
  temp_lower_limit = prices_p.mean() - 3 * prices_p.std()
  temp_upper_limit = prices_p.mean() + 3 * prices_p.std()

  ordenados = sorted(prices_p)
  if ordenados[0] < temp_lower_limit or ordenados[-1] > temp_upper_limit:
    df_now.loc[
      ( (df_now['Departamento'] == group[0][0]) &
      (df_now['Provincia'] == group[0][1]) &
      (df_now['Distrito'] == group[0][2]) &
      (df_now['Producto'] == group[0][3]) ) &
      ((df_now['Precio'] > temp_upper_limit) |
      (df_now['Precio'] < temp_lower_limit)), 'Outlier'] = 'Yes'

Este dataset se actualizará constantemente. Si deseas tener acceso a los datos en tiempo real a través de una API, escríbeme al correo electrónico: diegomedflo@gmail.com

In this dataset you will find information about the prices of the fuels in Peru. The source is the official website of Osinergmin, this is the state entity in charge of raising the official prices of gas stations in Peru. The data is provided by each gas station according to the law. | First Date | Last Date | Registers per day | | --- | --- | --- | | February 6, 2024 | June 8, 2024 | 2 |

As you can see above, the script scrapes the data 2 time a day, 9:45 am and 6:00 pm (UTC-5 PET Peru Time).

Columns description: | Departamento | Provincia | Distrito | ID | Producto | Precio | Fecha | Hora | Outlier | | --- | --- | --- | --- | --- | --- | --- | --- | | Also known as Region | Also known as Province | Also known as District| Concatenation of DepartamentoCodeID, ProvinciaCodeID and Gas Station name | Type of product (DB5 S-50 UV = Oil) | Price | Data extraction date | Time extraction date | Yer or No |

Outliers are not deleted but are tagged following this formula in python:

grouped = df_now.groupby(["Departamento", "Provincia", "Distrito", "Producto"])
for group in grouped:
  prices_p = group[1]['Precio']
  temp_lower_limit = prices_p.mean() - 3 * prices_p.std()
  temp_upper_limit = prices_p.mean() + 3 * prices_p.std()

  ordenados = sorted(prices_p)
  if ordenados[0] < temp_lower_limit or ordenados[-1] > temp_upper_limit:
    df_now.loc[
      ( (df_now['Departamento'] == group[0][0]) &
      (df_now['Provincia'] == group[0][1]) &
      (df_now['Distrito'] == group[0][2]) &
      (df_now['Producto'] == group[0][3]) ) &
      ((df_now['Precio'] > temp_upper_limit) |
      (df_now['Precio'] < temp_lower_limit)), 'Outlier'] = 'Yes'

This dataset will be updated constantly. If you would like to have access to the data in real time through an API, write to me by email: diegomedflo@gmail.com

About the ProjectKAPSARC is analyzing the shifting dynamics of the global gas markets. Global gas markets have turned upside down during the past five years: North America has emerged as a large potential future LNG exporter while gas demand growth has been slowing down as natural gas gets squeezed between coal and renewables. While the coming years will witness the fastest LNG export capacity expansion ever seen, many questions are raised on the next generation of LNG supply, the impact of low oil and gas prices on supply and demand patterns and how pricing and contractual structure may be affected by both the arrival of U.S. LNG on global gas markets and the desire of Asian buyers for cheaper gas.Key PointsIn the past year, global gas prices have dropped significantly, albeit at unequal paces depending on the region. All else being equal, economists would suggest that this should have generated a positive demand response. However, “all else” was not equal. Prices of other commodities also declined while economic growth forecasts were downgraded. Prices at benchmark points such as the U.K. National Balancing Point (NBP), U.S. Henry Hub (HH) and Japan/Korea Marker (JKM) slumped due to lower oil prices, liquefied natural gas (LNG) oversupply and unseasonal weather. Yet, the prices of natural gas in local currencies have increased in a number of developing countries in Africa, the Middle East, Latin America, former Soviet Union (FSU) and Asia. North America experienced demand growth while gas in Europe and Asia faced rising competition from cheaper coal, renewables and, in some instances, nuclear. Gains to European demand were mostly weather related while increases in Africa and Latin America were not significant. For LNG, Europe became the market of last resort as Asian consumption declined. Moreover, an anticipated surge in LNG supply, brought on by several new projects, may lead to a confrontation with Russian or other pipeline gas suppliers to Europe. At the same time, Asian buyers are seeking concessions on pricing and flexibility in their long-term contracts. Looking ahead, natural gas has to prove itself a credible and affordable alternative to coal, notably in Asia, if the world is to reach its climate change targets. The future of the gas industry will also depend on oil prices, evolution of Chinese energy demand and impact of COP21 on national energy policies. Current low prices mean there is likely to be a pause in final investment decisions (FIDs) on LNG projects in the coming years.

Crude Oil fell to 59.17 USD/Bbl on December 2, 2025, down 0.25% from the previous day. Over the past month, Crude Oil's price has fallen 3.08%, and is down 15.40% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on December of 2025.

TTF Gas fell to 27.92 EUR/MWh on December 3, 2025, down 0.17% from the previous day. Over the past month, TTF Gas's price has fallen 14.22%, and is down 40.94% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. EU Natural Gas - values, historical data, forecasts and news - updated on December of 2025.

Base data • Name/Brand • Adress • Geocoordinates • Opening Hours • Phone • ...

25+ Fuel Types like • Regular • Mid-Grade • Premium • Diesel • DEF • CNG •...

30+ Services and characteristics like • Carwash • Shop • Restaurant • Toilet • ATM • Pay at Pump •...

20+ Payment options • Cash • Visa • MasterCard • Fueling Cards • Google Pay • ...

Xavvy fuel is the leading source for Gas Station Location Data and Gasoline Price data worldwide and specialized in data quality and enrichment. Xavvy provides POI Data of gas stations at a high quality level for the United States. Next to base information like name/brand, address, geo-coordinates or opening hours, there are also detailed information about available fuel types, accessibility, special services, or payment options for each station. The level of information to be provided is highly customizable. One-time or regular data delivery, push or pull services, and any data format – we adjust to our customer’s needs.

Total number of stations per country or region, distribution of market shares among competitors or the perfect location for new gas stations, charging stations or hydrogen dispensers - our gas station data and gasoline price data provides answers to various questions and offers the perfect foundation for in-depth analyses and statistics. In this way, our data helps customers from various industries to gain more valuable insights into the fuel market and its development. Thereby providing an unparalleled basis for strategic decisions such as business development, competitive approach or expansion.

In addition, our data can contribute to the consistency and quality of an existing dataset. Simply map data to check for accuracy and correct erroneous data.

Especially if you want to display information about gas stations on a map or in an application, high data quality is crucial for an excellent customer experience. Therefore, our processing procedures are continuously improved to increase data quality:

• regular quality controls • Geocoding systems correct and specify geocoordinates • Data sets are cleaned and standardized • Current developments and mergers are taken into account • The number of data sources is constantly expanded to map different data sources against each other

Integrate the largest database of Retail Gas Station Location Data, Amenities and accurate Diesel and Gasoline Price Data in Europe and North America into your business. Check out our other Data Offerings available, and gain more valuable market insights on gas stations directly from the experts!

Base data • Name/Brand • Adress • Geocoordinates • Opening Hours • Phone •...

25+ Fuel Types like • Super E5 • Super 98 • Diesel • AdBlue • LPG • CNG •...

60+ Services and characteristics like • Carwash • Shop • Restaurant • Toilet • ATM • Toll •...

300+ Payment options • Cash • Visa • MasterCard • Fueling Cards •...

We are the leading source for Gas Station Location Data and Petrol Price Data worldwide and specialized in data quality and enrichment. We provide high quality POI Data of gas stations for all European countries.

The gas station location data is delivered country by country and the level of information to be provided is highly customizable One-time or regular data delivery, push or pull services, and any data format – we adjust to our customer’s needs.

Total number of stations per country or region, distribution of market shares among competitors or the perfect location for new gas stations, charging stations or hydrogen dispensers - our data provides answers to various questions and offers the perfect foundation for in-depth analyses and statistics. In this way, our gas station location data and petrol price data helps customers from various industries to gain more valuable insights into the fuel market and its development. Thereby providing an unparalleled basis for strategic decisions such as business development, competitive approach or expansion.

In addition, our data can contribute to the consistency and quality of an existing dataset. Simply map data to check for accuracy and correct erroneous data.

200+ sources including governments, petroleum companies, fuel card providers and crowd sourcing enable xavvy to provide various information. Next to base information like name/brand, address, geo-coordinates or opening hours, there are also detailed information about available fuel types, accessibility, special services, or payment options for each station:

Especially if you want to display information about gas stations on a map or in an application, high data quality is crucial for an excellent customer experience. Therefore, processing procedures are continuously improved to increase data quality:

• regular quality controls (e.g. via monitoring dashboards) • Geocoding systems correct and specify geocoordinates • Data sets are cleaned and standardized • Current developments and mergers are taken into account • The number of data sources is constantly expanded to map different data sources against each other

Check out our other Data Offerings available and gain more valuable market insights on gas stations directly from the experts!

Context

This database About How diesel and petrol Prices Rising day By day in UK

Content

Diesel Price And Petrol Price

Acknowledgements

Just For Learning

Inspiration

Another One

Gasoline Prices in Russia decreased to 0.83 USD/Liter in November from 0.84 USD/Liter in October of 2025. This dataset provides the latest reported value for - Russia Gasoline Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Xavvy fuel is the leading source for Fuel Station POI and Price data worldwide and specialized in data quality and enrichment. We provide high quality POI Data of gas stations about different fuel types for all European countries. One-time or regular data delivery, push or pull services, and any data format – we adjust to our customer’s needs. Total number of stations per country or region, distribution of market shares among competitors or the perfect location for new AdBlue stations or Truck pumps - our data provides answers to various questions and offers the perfect foundation for in-depth analyses and statistics. In this way, our data helps customers from various industries to gain more valuable insights into the fuel market and its development. Thereby providing an unparalleled basis for strategic decisions such as business development, competitive approach or expansion. In addition, our data can contribute to the consistency and quality of an existing dataset. Simply map data to check for accuracy and correct erroneous data. 130+ sources including governments, petroleum companies, fuel card providers and crowd sourcing enable xavvy to provide various information about AdBlue / DEF Stations in Europe.

Especially if you want to display information about AdBlue stations on a map or in an application, high data quality is crucial for an excellent customer experience. Therefore, processing procedures are continuously improved to increase data quality: • regular quality controls (e.g. via monitoring dashboards) • Geocoding systems correct and specify geocoordinates • Data sets are cleaned and standardized • Current developments and mergers are taken into account • The number of data sources is constantly expanded to map different data sources against each other

Check out our other Data Offerings available and gain more valuable market insights on gas stations and AdBlue distribution directly from the experts!

Context

This dataset has fuel prices for the city of Delhi. Considering how the fuel prices are rising in India these days, thought this would be a good dataset to have.

Content

This data has prices from January 2020 to May 2021. The data itself is from mypetrolprice.com

Inspiration

I don't have any particular suggestions to make, if you are using this in any way, let me know how and what interesting thing you are doing with it...

Gasoline Prices in the United States remained unchanged at 0.81 USD/Liter in November. This dataset provides the latest reported value for - United States Gasoline Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This table shows the average prices paid for natural gas and electricity. The total prices represent the sum of energy supply prices and network prices.

The total price is the price paid by an end-user, for instance a household or an industrial company consuming energy in their production process. Natural gas used for non-energy purposes or for electricity generation is excluded from the data.

Data available from: 1st semester of 2009

Status of the figures: The figures in this table are provisional for the two most recent semesters, and the annual figures follow the status of the second semester of the relevant reporting year. The remaining figures are final.

Changes as of September 30: Figures for the first half of 2025 have been added.

The network prices for final non-household customers will from now on, and dating back to 2009, be derived from administrative data sources. This now follows the methodology for households. Consumption data can be combined with tariffs that are published on the websites of the network companies, providing the necessary data to compile the prices. The change in methodology is carried out for the full time-series, making sure the network prices are consistent and price changes are not the result of varying measurement approaches.

When will new figures be published? New provisional figures will be published three months after the semesters end, at the end of September and at the end of March.