Small dataset on the U.S. Field Production of Crude Oil throughout the years.

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How the Data was Acquired:

This data was extracted from the United States Energy Information Administration. Format adjustments for CSV purposes were made, in the form of sorting the data by the oldest date.

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Column Breakdown:

Month: The Month and Year, ranging from 02/1920 to 02/2022.

Oil_tbpd: U.S. Field Production of Crude Oil Thousand Barrels per Day, sorted into the months.

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How to Use this Dataset:

This dataset is primarily for beginners to work with dates and a trend of somewhat linear data. Data analysis, statistical analysis, and regression are all possible practices under different circumstances. No significant findings are expected.

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Potential Updates: Addi n additional Crude Oil information throughout the timeline. A notebook dedicated to minor statistical analysis of the data.

Monthly and long-term Saudi Arabia Oil data: historical series and analyst forecasts curated by FocusEconomics.

This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 11, and contains only the reference case. The dataset uses million barrels per day. The data is broken down into crude oil, other petroleum supply, other non petroleum supply and liquid fuel consumption.

The daily average production of unrefined mixture of naturally occurring hydrocarbons.

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.

Non-Gasoline Alternative Fueling Stations

Locations of non-gasoline alternative fueling stations in the United States

By Homeland Infrastructure Foundation [source]

About this dataset

With over 250 million vehicles consuming millions of barrels of petroleum daily in the country, finding sustainable and clean alternatives to traditional gasoline is crucial for reducing dependence on fossil fuels and mitigating environmental impact. This dataset serves as a valuable resource for vehicle fleet managers, corporate decision-makers, public transportation planners, and other stakeholders involved in promoting energy conservation strategies.

The data is collected by Clean Cities—a nationwide network of local coalitions—and the U.S. Department of Energy's Vehicle Technologies Office. Clean Cities plays a vital role in facilitating project assistance to help both public and private sectors adopt alternative and renewable fuels along with various technologies aimed at reducing idling time and improving fuel economy.

Each entry in the dataset includes essential details about individual fueling stations such as their geographical coordinates (longitude and latitude), address including street name and intersection location, city information with associated ZIP codes (including additional 4-digit codes when available), contact phone numbers for each station's operations (station phone number), status codes indicating operational or non-operational status along with expected dates of becoming operational if applicable.

Furthermore, the dataset includes comprehensive information about the types of alternative fuels provided by each station—specifically specifying biodiesel blends available at biodiesel-capable stations; fill type options for CNG stations; available charging levels for electric vehicle charging stations; DC fast charging availability; information regarding other electric vehicle charging networks/providers; primary liquefied petroleum gas (LPG) types offered at LPG-capable stations; ethanol blends available at specific ethanol-capable locations; pressure rating for natural gas filling points where applicable.

Additionally listed are details regarding federal agency affiliations/associations, ownership or operator types, accessibility days of the week, accepted payment cards, associated groups or organizations with each fueling station offering alternative fuels.

The dataset provides a comprehensive and up-to-date resource for those looking to promote clean energy and sustainable transportation solutions. It can be accessed through the Department of Energy's Alternative Fuels Data Center Web Feature Service

How to use the dataset

Here is a guide on how to use this dataset effectively:

Step 1: Understanding the Columns - X: The longitude coordinate of the fueling station. - Y: The latitude coordinate of the fueling station. - Fuel_Type: The type of alternative fuel provided at the station (biodiesel, CNG, electric, ethanol, hydrogen, LNG or propane). - Station_Na: The name of the fueling station. - Street_Add: The street address of the fueling station. - Intersecti: The intersection where the fueling station is located. - City: The city where the fueling station is located. - State: The state where the fueli ngstationislocatedZ: IP code ofthefuelingstaion Plus4:The additional4-digit codefortheZIPcodeStation_Ph:aThephonenumbeofthefuelngstations

Step 2. Location Visualization Since this dataset provides coordinates (longitude and latitude) for each fueling station location in addition to their names and addresses. Mapping tools like ArcGIS or Tableau can be used to plot these locations on a map for visual analysis.

Using these mapping visualization techniques will allow users to identify clusters or patterns in certain areas with higher densities of alternative fuelling stations. It can also help identify gaps in certain regions that lack access to such fuelling facilities.

Step 3. Filtering by Specific Fuel Types This dataset contains information about various alternative fuels including biodiesel, CNG, electric, ethanol, hydrogen, LNG and propane. Users can filter the dataset based on their specific fuel type of interest to obtain the relevant fueling stations.

By using filters or queries on columns such as Fuel_Type or EV_Level2 (electric vehicle charging level), users can focus on a specific category of alternative fuels that they are interested in exploring further.

Step 4: Analyzing Station Status and Availability The dataset includes information about the status code of each fueling station, indicating whether it is operational or not. Us...