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.

Heating Oil rose to 2.35 USD/Gal on December 2, 2025, up 0.21% from the previous day. Over the past month, Heating Oil's price has fallen 2.25%, but it is still 6.31% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Heating oil - values, historical data, forecasts and news - updated on December of 2025.

Brent fell to 63.05 USD/Bbl on December 2, 2025, down 0.19% from the previous day. Over the past month, Brent's price has fallen 2.84%, and is down 14.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Brent crude oil - values, historical data, forecasts and news - updated on December of 2025.

The 2025 annual OPEC basket price stood at ***** U.S. dollars per barrel as of August. This would be lower than the 2024 average, which amounted to ***** U.S. dollars. The abbreviation OPEC stands for Organization of the Petroleum Exporting Countries and includes Algeria, Angola, Congo, Equatorial Guinea, Gabon, Iraq, Iran, Kuwait, Libya, Nigeria, Saudi Arabia, Venezuela, and the United Arab Emirates. The aim of the OPEC is to coordinate the oil policies of its member states. It was founded in 1960 in Baghdad, Iraq. The OPEC Reference Basket The OPEC crude oil price is defined by the price of the so-called OPEC (Reference) basket. This basket is an average of prices of the various petroleum blends that are produced by the OPEC members. Some of these oil blends are, for example: Saharan Blend from Algeria, Basra Light from Iraq, Arab Light from Saudi Arabia, BCF 17 from Venezuela, et cetera. By increasing and decreasing its oil production, OPEC tries to keep the price between a given maxima and minima. Benchmark crude oil The OPEC basket is one of the most important benchmarks for crude oil prices worldwide. Other significant benchmarks are UK Brent, West Texas Intermediate (WTI), and Dubai Crude (Fateh). Because there are many types and grades of oil, such benchmarks are indispensable for referencing them on the global oil market. The 2025 fall in prices was the result of weakened demand outlooks exacerbated by extensive U.S. trade tariffs.

Palm Oil rose to 4,134 MYR/T on December 2, 2025, up 1.00% from the previous day. Over the past month, Palm Oil's price has risen 0.46%, but it is still 18.56% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Palm Oil - 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.

The Average Home Heating Oil Prices dataset provides New York residents and businesses with objective information on average residential retail heating fuel oil pricing in New York State and by region beginning September 8, 1997. Pricing data is obtained via surveys conducted by 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 Home Heating Oil Prices Dashboard: https://www.nyserda.ny.gov/Researchers-and-Policymakers/Energy-Prices/Home-Heating-Oil/Average-Home-Heating-Oil-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, accelerate economic growth, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

Russia Average World Price: Crude Oil: Urals: per 1 Barrel data was reported at 91.200 USD/Barrel in Mar 2019. This records an increase from the previous number of 80.700 USD/Barrel for Feb 2019. Russia Average World Price: Crude Oil: Urals: per 1 Barrel data is updated monthly, averaging 58.745 USD/Barrel from Jun 2000 (Median) to Mar 2019, with 226 observations. The data reached an all-time high of 129.710 USD/Barrel in Jul 2008 and a record low of 18.200 USD/Barrel in Nov 2001. Russia Average World Price: Crude Oil: Urals: per 1 Barrel data remains active status in CEIC and is reported by Ministry of Finance of the Russian Federation. The data is categorized under Global Database’s Russian Federation – Table RU.PC002: Average World Prices, Crude Oil Export Price, Crude Oil Export Duty.

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.

Heating Oil Consumption And Cost (2010 - 2022)

Consumption and cost of heating oil (2010 - 2022)

By data.world's Admin [source]

About this dataset

How much heating oil do New Yorkers use? And how much does it cost them? This dataset provides monthly consumption and cost data for heating oil in New York City, broken down by borough and development. The data includes information on utility vendors and meters, making it possible to track trends over time

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How to use the dataset

This dataset contains monthly consumption and cost data for heating oil in New York City. The data is organized by borough and development, and includes information on the utility vendor and meter used.

This dataset can be used to track trends in heating oil consumption and cost over time, as well as to compare consumption and costs across different developments in New York City

Research Ideas

Predicting future heating oil consumption trends in New York City Analyzing the impact of weather on heating oil consumption Determining the most efficient heating oil providers in New York City

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: heating-oil-consumption-and-cost-2010-feb-2022-1.csv | Column name | Description | |:-----------------------|:----------------------------------------------------------| | Development Name | The name of the development. (String) | | Borough | The borough in which the development is located. (String) | | Account Name | The name of the account. (String) | | Location | The location of the development. (String) | | Meter AMR | The meter's AMR reading. (String) | | Meter Scope | The meter's scope. (String) | | TDS # | The TDS number. (String) | | EDP | The EDP. (String) | | RC Code | The RC code. (String) | | Funding Source | The funding source. (String) | | AMP # | The AMP number. (String) | | Vendor Name | The name of the vendor. (String) | | Revenue Month | The revenue month. (String) | | Service Start Date | The service start date. (String) | | Service End Date | The service end date. (String) | | # days | The number of days in the service period. (String) | | Meter Number | The meter number. (String) | | Estimated | Whether or not the consumption is estimated. (String) | | Current Charges | The current charges. (String) | | Consumption (GAL) | The consumption in gallons. (String) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit data.world's Admin.

Urals Oil fell to 54.22 USD/Bbl on December 1, 2025, down 0.37% from the previous day. Over the past month, Urals Oil's price has fallen 7.52%, and is down 17.95% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Urals Crude.

Nigeria Crude Oil Price: Bonny Light: per Barrel data was reported at 65.350 USD/Barrel in 26 Nov 2025. This records an increase from the previous number of 65.050 USD/Barrel for 25 Nov 2025. Nigeria Crude Oil Price: Bonny Light: per Barrel data is updated daily, averaging 67.540 USD/Barrel from Oct 2009 (Median) to 26 Nov 2025, with 3752 observations. The data reached an all-time high of 139.410 USD/Barrel in 08 Mar 2022 and a record low of 7.150 USD/Barrel in 21 Apr 2020. Nigeria Crude Oil Price: Bonny Light: per Barrel data remains active status in CEIC and is reported by Central Bank of Nigeria. The data is categorized under Global Database’s Nigeria – Table NG.P: Crude Oil Price. [COVID-19-IMPACT]

Sri Lanka Petroleum Price: Average: Crude Oil data was reported at 8,817.000 LKR/Barrel in 2017. This records an increase from the previous number of 6,757.000 LKR/Barrel for 2016. Sri Lanka Petroleum Price: Average: Crude Oil data is updated yearly, averaging 3,803.000 LKR/Barrel from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 14,416.000 LKR/Barrel in 2012 and a record low of 803.000 LKR/Barrel in 1992. Sri Lanka Petroleum Price: Average: Crude Oil data remains active status in CEIC and is reported by Central Bank of Sri Lanka. The data is categorized under Global Database’s Sri Lanka – Table LK.P008: Petroleum Price.

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 https://nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

The Undiscovered Oil and Gas Resources dataset shows the locations of the Assessment Units (AUs) in the U.S. Geological Survey (USGS) World Assessment of Undiscovered Oil and Gas Resources. The assessment was conducted in 2012 and evaluated 313 AUs within 171 geologic provinces (areas where oil and gas occur in commercial quantities). An AU is a mappable volume of rock with homogenous geologic properties. Each AU was assessed for undiscovered oil and gas resources using data from published literature. In each geologic province, total petroleum systems (TPS) were also defined. A TPS is the group of geologic elements needed for oil and gas formation. The Undiscovered Oil and Gas Resources dataset provides an understanding of the quantity, quality and distribution of global conventional oil and gas resources. Conventional oil and gas resources, such as crude oil and natural gas, are found in high porosity/permeability reservoirs. Unconventional oil and gas resources are found in low porosity/permeability reservoirs, such as shale and tar sands. Conventional resources are relatively easy to extract from the earth and do not require fracking. The USGS World Assessment of Undiscovered Oil and Gas Resources determined that a total of 565,298 million barrels of oil, 5,605,626 billion cubic feet of gas and 166,668 million barrels of natural gas liquids remained undiscovered as of 2011. All of these resources are conventionally extractable. However, conventional oil and gas resources are dwindling. Knowing where and how much conventional oil and gas remains undiscovered is important for understanding the world’s energy future. The Undiscovered Oil and Gas Resources dataset is a geologic basis for making decisions about energy. It can help predict future energy production trends and increase understanding of the social and environmental consequences of oil and gas resource exploitation.

Context

Extracted data from Investing .com by building a web scraper which could extract data if Start and End Date are given as parameters. You could find the scaper code here. Copper ,Gold, Crude Oil , Brent Oil , Natural Gas, Silver Prices variation of each of the commodities from the last 10 Years .

Copper

Copper prices are up 20% year to date, supported in part by a rebounding economy in the U.S. and other parts of the world as the pandemic comes under control. Improving economies are key to copper demand since it's an industrial metal that's a good conductor of electricity. Copper is found in a host of items from air conditioning units and televisions to cars. The base metal may also benefit from President Joe Biden's infrastructure plan and the growing appetite for electric vehicles. That's spurred investor interest in the red metal, but buyers need to do plenty of research. Commodities are unlike traditional stock and bond investing, as these markets have different fundamental drivers that affect pricing.

Gold

Gold has traditionally been regarded as a superior investment asset. It has become a safe haven for investors all around the world in recent years. Gold, in particular, possesses all of the characteristics that a traditional investor seeks in an asset class. Investing in gold has always shown to be a successful approach to combat inflation.

Crude Oil

Crude oil is at the heart of many global industries. It is the power that moves most vehicles, allows factories to operate and is used to generate electricity. Oil’s importance to mankind has made it a valuable commodity for many companies and countries. Along with its derivatives, crude oil is the most traded commodity in the world.

Brent Oil

Brent oil is a major benchmark price for purchases of oil worldwide. While Brent Crude oil is sourced from the North Sea the oil production coming from Europe, Africa and the Middle East flowing West tends to be priced relative to this oil. The Brent prices displayed in Trading Economics are based on over-the-counter (OTC) and contract for difference (CFD) financial instruments. Our market prices are intended to provide you with a reference only, rather than as a basis for making trading decisions. Trading Economics does not verify any data and disclaims any obligation to do so.

Natural Gas

The US Energy Information Administration says natural gas is the most widely used fuel for space heating in the US, and it has also started to beat out coal as the top fuel for power generation. Even so, demand for natural gas around the world can be volatile as it is very much dependent on the weather.

Silver

Silver may be used as an investment like other precious metals. It has been regarded as a form of money and store of value for more than 4,000 years, although it lost its role as legal tender in developed countries when the use of the silver standard came to a final end in 1935.

Acknowledgements

For this dataset I depended upon Investing.com to scrape the data . It's the premier source for financial, economic, and alternative datasets, serving investment professionals. Investing’s platform is used by over 400,000 people, including analysts from the world’s top hedge funds, asset managers and investment banks.

INTRODUCTION This dataset covers the main parameters of the oil well operation (well № 807). I work as a lead geologist in an oil field in Siberia and oversee the development of an oil field. Every day I collect real data on the work of oil wells. Let me introduce you a little bit and you become a little oilmen)😃 This well was drilled in 2013 at an oil field in the north of Russia. The depth of this well is 2400 meters. An oil reservoir contains oil and gas dissolved in it under high pressure. There is water in the reservoir below the oil. After the completion of the well construction, a pump is lowered into the well, into which a liquid containing oil, gas and water is supplied. On the surface of the well, a sample is taken every day, which shows how much water and oil is contained in this well in percent (column5 - "Water cut (%)") . From the well, the liquid enters the metering unit, which calculates how much fluid the well produces per day (column2 - "Volume of liquid (m3 / day)") and how much gas (column3 - "Gas volume (m3 / day)"). Knowing the above parameters, I calculate how much oil the well produces (column1 - "Oil volume (m3 / day)"). From the well, the liquid enters the metering unit, which calculates how much fluid the well produces per day (column2 - "Volume of liquid (m3 / day)") and how much gas (column3 - "Gas volume (m3 / day)"). Knowing the above parameters, I calculate how much oil the well produces (column1 - "Oil volume (m3 / day)") and how much water (column4 - "Water volume (m3 / day))").Also, data about the dynamic level (column7 - "Dynamic level (meters)") is taken every day. A sensor is installed in the pump, which is lowered into the well, which shows reservoir pressure in the well (column8 - "Reservoir pressure (atm)") As the well is operated, reservoir pressure begins to decrease, and oil production decreases accordingly. There is less oil and gas, more water - the oil field begins to deplete. The field's profitability is falling.

Why do we need to know all these parameters and how can we apply them?🤔

We build a 3D model of the field, graphs, on the basis of which we can understand at what stage of development this field is. We can understand how much oil has been produced and how much oil remains, its prospects. Based on these data, we can draw conclusions about the profitability of the well, whether it is profitable for the oil company or the well is unprofitable. Thus, having data on the well operation, we will be able to predict not only a decrease in oil production, but we will also know when and what measures and decisions to take to increase oil production!

Stocks of crude oil in the United States increased by 2.77million barrels in the week ending November 21 of 2025. This dataset provides the latest reported value for - United States Crude Oil Stocks Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Even though the effect of oil price shocks on macroeconomics has been extensively investigated, the literature on how efficiency in household energy use affect crude oil price volatility is yet explored. This study unveils whether household energy efficiency lower crude oil price volatility asymmetrically in the United States using the historical and forecast dataset that spans from 1970:Q1-2040:Q1. Applying the multivariate case of Quantile-on-Quantile Regression, the empirical results show that household energy efficiency dampens crude oil price volatility with a stronger connection in quantiles before the median quantiles of crude oil price volatility. However, the effect of household energy efficiency decreases with an increase across quantiles of the crude oil price volatility. The results further show that energy-related CO2 emissions and retail electricity price intensify crude oil price volatility with varying effects across quantiles. These findings are similar to the sensitivity analysis and robustness checks. Overall, the policy implication of our findings is that government and policymakers need to demonstrate unequivocal commitments to improving not only energy-efficient practices at household level but also to mitigate energy-related environmental disasters.