**These datasets are for educational purposes only. Any misuse for illegal or unethical activities is strictly prohibited. All generated data is fictional and has no real-world validity.
Contains historical oil prices, including opening and closing prices, highest and lowest values, and volatility.
| Date | Opening Price (USD) | Closing Price (USD) | Highest Price (USD) | Lowest Price (USD) | Volatility (%) | Price Change (%) |
|---|---|---|---|---|---|---|
| 2024-03-01 | 76.45 | 78.12 | 78.85 | 75.90 | 3.87 | 2.18 |
Provides oil production data by country, including reserves, export rate, and consumption.
| Country | Oil Production (Barrels/Day) | Reserves (Billion Barrels) | Export Rate (%) | Consumption Rate (Million Barrels/Day) | Year |
|---|---|---|---|---|---|
| Saudi Arabia | 10,200,000 | 267 | 70 | 3.5 | 2023 |
Captures average, highest, and lowest oil prices over different years, adjusted for inflation.
| Year | Average Price (USD) | Highest Price (USD) | Lowest Price (USD) | Inflation-Adjusted Price (USD) | Economic Impact (%) |
|---|---|---|---|---|---|
| 2022 | 94.83 | 122.00 | 70.45 | 97.56 | 1.8 |
Forecasts oil demand and supply trends, including projected gaps and price expectations.
| Forecast Year | Projected Demand (Barrels/Day) | Projected Supply (Barrels/Day) | Supply Gap (Barrels/Day) | Price Projection (USD) |
|---|---|---|---|---|
| 2026 | 104,000,000 | 102,500,000 | 1,500,000 | 89.50 |
Tracks global oil trade statistics, including country-wise imports, exports, and trade balance.
| Country | Oil Imported (Barrels) | Oil Exported (Barrels) | Trade Balance (Barrels) | Import-Export Ratio (%) | Year |
|---|---|---|---|---|---|
| USA | 7,500,000 | 3,200,000 | -4,300,000 | 234.38 | 2023 |
Provides insights into oil exploration investments, new reserves found, and company activity.
| Company | Exploration Investment (USD) | New Reserves Found (Billion Barrels) | Exploration Region | Year |
|---|---|---|---|---|
| PetroGlobal Inc. | 1,250,000,000 | 2.4 | Offshore Brazil | 2022 |
Contains refinery production data, including gasoline, diesel, and jet fuel output and pricing.
| Refinery Name | Refinery Output (Barrels/Day) | Gasoline Price (USD/Gallon) | Diesel Price (USD/Gallon) | Jet Fuel Price (USD/Gallon) | Year |
|---|---|---|---|---|---|
| Houston Refinery | 500,000 | 3.45 | 3.89 | 4.12 | 2023 |
Oil price datasets contain historical and current data related to crude oil prices across global benchmarks like Brent, WTI, and Dubai. They often include daily, weekly, or monthly prices and are used for trend analysis, forecasting, and investment modeling.
These datasets typically include:
Analysts use historical oil price data to identify patterns, assess market volatility, and forecast future price movements. Time series models like ARIMA, moving averages, and seasonal trend analysis are commonly applied.
Oil production statistics help gauge the supply side of the market. By analyzing output by country, OPEC decisions, and disruptions, analysts can assess potential price shifts and supply constraints.
These datasets reveal how economic activity, geopolitical events, and seasonal consumption affect oil flows. Comparing production and consumption data provides insights into surpluses, shortages, and price reactions.
Cost-related data—such as extraction, refining, and transportation expenses—allow for breakeven analysis. Countries and companies use this data to decide whether production is economically viable at current market prices.
Yes. You can build models in Excel or Python to predict future oil prices based on historical trends, seasonal cycles, or external factors like GDP growth and interest rates.
Absolutely. Price fluctuations in response to conflicts, sanctions, or supply chain disruptions provide valuable insight into how geopolitical events influence energy markets.
Yes. You can create:
While not always, some datasets may include CO₂ emissions, flaring volumes, or renewable energy comparisons, helping analysts connect oil trends with environmental impact.
Yes. All datasets are synthetic or compiled from public sources and formatted for practice use. They are free to download and suitable for educational, academic, or training purposes.
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