Introduction:

Crude oil is an essential commodity that is used in almost every aspect of modern life. Its price fluctuations have a significant impact on global economies, especially for countries that heavily depend on oil exports. In this dataset, we will explore the fluctuations of crude oil prices over the past 48 years, from 1974 to 2022, and examine the key factors that have influenced these fluctuations. The dataset provides a valuable resource for researchers and analysts interested in studying the fluctuations in crude oil prices over the past four decades. It can be used to identify patterns and trends in the market, as well as to develop predictive models for future price movements.

This dataset can be used for various purposes, such as:

• Analyzing the trends and fluctuations in crude oil prices over time.
• Identifying the factors that affect crude oil prices, such as supply and demand, geopolitical events, and economic indicators.
• Developing predictive models to forecast crude oil prices.
• Evaluating the impact of crude oil prices on the global economy, energy markets, and individual businesses.

Overall, the Fluctuations of Crude Oil Price dataset is a valuable resource for anyone interested in understanding the dynamics of the global oil market.

The author argues that the economic benefits of low gasoline prices for the U.S. economy have fallen substantially since the reemergence of America as a major oil producer. The old rule-of thumb that a 10% fall in the oil price raises inflation-adjusted U.S. GDP by 0.2% is too large—the impact on economic activity should be closer to zero, and may even be negative if consumption grows slowly. The reasons for this change are straightforward, if underappreciated: (i) the value of oil production accounts for a larger share of the U.S. economy; and (ii) consumers are not spending the windfall like they used to because of higher debt levels, limited access to credit, slow wage rowth, and an older population.

Oil shocks exert influence on macroeconomic activity through various channels, many of which imply a symmetric effect. However, the effect can also be asymmetric. In particular, sharp oil price changes "either increases or decreases" may reduce aggregate output temporarily because they delay business investment by raising uncertainty or induce costly sectoral resource reallocation. Consistent with these asymmetric-effect hypotheses, the authors find that a volatility measure constructed using daily crude oil futures prices has a negative and significant effect on future gross domestic product (GDP) growth over the period 1984-2004. Moreover, the effect becomes more significant after oil price changes are also included in the regression to control for the symmetric effect. The evidence here provides economic rationales for Hamilton's (2003) nonlinear oil shock measure: It captures overall effects, both symmetric and asymmetric, of oil price shocks on output.

Context

Oil price is a very important part of any county's economy. The Crude Oil WTI (USD/Bbl) dataset was created with the expectation to understand the impact of global oil prices on any country's economy.

Source

Using https://tradingeconomics.com/commodity/crude-oil this data set is created and will be kept updated monthly.

Acknlowgement

Thanks, tradingeconomics.com 💜

Nigeria's economy was significantly impacted by the COVID-19 pandemic. Among others, oil prices experienced a sharp fall and the country lowered the daily crude oil production consistently. In January 2019, the price per barrel amounted to ** U.S. dollars per barrel, whereas in April 2020 the price dropped by ** dollars. Crude oil, petrol, and fuel represented Nigeria's main source of export value.

A common conundrum discussed in economic research revolves around the fact that nations endowed with plentiful natural resources often exhibit a lower gross domestic product (GDP). This conundrum is commonly called the "resource curse", where most empirical studies about the effects primarily focused on developed economies. At the same time, limited data is available regarding a burgeoning oil-exporting nation like the Republic of Yemen. This research endeavor aims to investigate the relationship between oil price Changes and Yemen’s economic growth. Utilizing annual data spanning from 1990 to 2019, the study employs the auto-regressive distributed lag (ARDL) model to establish the long-term connection between oil price volatility and economic growth over both short and long timeframes. This study’s outcomes indicate that oil price Changes have a significant positive relationship with Yemen’s economic growth in both the long and short run. Oil rents show a significant negative relationship with economic growth in both the long and short run. The results of GLM, RLS, and GMM robustness checks are consistent with our model results. Based on these findings, we suggest that Yemen should diversify its economy by investing in agriculture and tourism, and focus on human capital, education, and research and development. These steps could reduce the economy’s dependence on oil and enhance sustainable economic growth. These empirical insights and suggestions are particularly useful for policymakers as they help build sound external and economic policies to sustain long-term economic growth.

This study examines the relationship between oil price changes and GDP growth and other macroeconomic variables from the perspective of vulnerability of oil-importing and oil-exporting countries to unexpected oil price shocks driven by tense geopolitical events in three European countries (Norway, Germany and Poland). We apply the structural VAR model and the orthogonalized impulse response functions based on quarterly data from period 1995 to 2024 with respect to two samples: the first spans 1995Q1-2019Q4 (pre-2020 sample) with relatively gradual changes in oil prices and the second spans 1995Q1-2024Q2 (whole sample) with sudden fluctuations in oil prices due to geopolitical developments. A main result of this research is that sudden and unexpected oil price shocks induced by geopolitical events affect economies differently than oil price shocks that happen gradually, both in oil-importing and oil-exporting countries. Different causality patterns and responses in GDP growth in the pre-2020 and the whole sample lead to believe that economies are not more resilient to oil price shocks as has been suggested by some studies which referred to periods not driven by geopolitical events. It is therefore premature to assume that future disruptions in oil prices will not cause a problem for monetary policy. This study contributes to the relevant literature by providing new insight into the debate on the diminishing vulnerability of economy to oil price changes by investigating the effects of unexpected oil price shocks driven by geopolitical tensions. In contrast to previous studies, this paper draws on data including periods with recent geopolitical tensions and covering the homogenous period with regard to energy transformation and major reforms in European countries.

OECD Global Crude Oil Imports Prices

Regional and Temporal Trends

By OECD [source]

About this dataset

This dataset contains global crude oil import prices from the OECD. It provides important insight into international trading of oil and its related products, enabling users to analyse market trends and compare prices across different countries. This data is essential for understanding the development of different economies, as well as their dependence on crude oil imports. Through analysis of this dataset, users can understand the role that regional and global factors play in impacting global crude oil import prices over time. The dataset includes columns tracking country/region of origin (LOCATION), indicator measured (INDICATOR), subject tracked (SUBJECT), measure taken (MEASURE), frequency interval (FREQUENCY), time period covered (TIME) as well as numerical value and flag codes associated with the data captured in each row. This invaluable source is perfect for researchers looking to take a deep dive into international markets over time or academics studying the complexities surrounding trade in the energy sector!

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How to use the dataset

This dataset is a great resource for anyone looking to analyze the current and historical prices of crude oil imports from the OECD. The data contains prices from member countries of the OECD and is updated regularly. This dataset can be used to study long term trends in price as well as explore differences between countries with different levels of crude oil import demand.

• In order to make use of this dataset, it’s important to familiarize yourself with the column names and descriptions. The first column is LOCATION which indicates which country or region the data applies to. INDICATOR indicates what information is being displayed (e.g., import market share, import value, etc.). SUBJECT describes what category that metric falls into (e.g., fuel energy). MEASURE tells you whether an amount is expressed in a unit or currency while FREQUENCY says how often data has been collected: monthly, quarterly or annually (average monthly/quarterly/annual etc..). TIME displays measure period start date in year-month format and Value denotes numerical value for each row's measurement respectively while flag codes indicate if any values are estimates or outlier measurements that should be examined further before using them

• Using this understanding, one could filter their search by creating filters on these columns accordingly depending on their research topic such as – pulling all records for China for Q4 2019 - then apply sorting on “VALUE” column based on imported measurements have become cheaper during given time frame etc.. Additionally formulas like SUMIFS() can also be used across multiple columns available within this agreement document at same time such as – total Imports Value from India & Japan combined during May 2019 till October 2020 – based upon bringing together Matching condition criteria met across few columns where needed at same time . As such this dataset provides flexible solutions which potentially allow us to explore patterns related either just single country's current trends -or- cross references since global side-by-side evaluation possible here featuring more than just one nation alone too ...........

Research Ideas

• Analyzing the impact of changes in crude oil prices on global economic growth.
• Examining the evolving dynamics of crude oil trade flows between different countries and regions.
• Tracking trends in crude oil import prices across different industries to identify potential opportunities for cost savings and efficiency gains

Acknowledgements

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

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: crude_oil_import_prices.csv | Column name | Description ...

Learn about the factors that influence crude oil prices and the importance of these prices in the global economy. Explore the benchmark prices, such as Brent crude and West Texas Intermediate, and understand how supply and demand, geopolitical events, production costs, and market speculation affect the price of crude oil. Discover the impact of crude oil prices on inflation, energy costs, investment opportunities, and as macroeconomic indicators.

Using time-varying BVARs, we find a substantial decline in the shortrun price elasticity of oil demand since the mid-1980s. This finding helps explain why an oil production shortfall of the same magnitude is associated with a stronger response of oil prices and more severe macroeconomic consequences over time, while a similar oil price increase is associated with smaller output effects. Oil supply shocks also account for a smaller fraction of real oil price variability in more recent periods, in contrast to oil demand shocks. The overall effects of oil supply disruptions on the US economy have, however, been modest.

The article discusses the relationship between crude oil prices and the stock market, highlighting the impact of oil price fluctuations on various sectors of the economy. It explains how changes in oil prices can affect industries that heavily rely on oil and explores the factors influencing the crude oil market. The article also discusses the potential effects of oil price changes on stock prices and consumer spending. Additionally, it emphasizes the complexity of the relationship between crude oil prices

Learn about the interlink between crude oil price and stock market movement, and how fluctuations in oil prices can impact the energy sector, other industries, and the overall economy. Discover the factors influencing oil prices and their cascading effects on stock prices, and understand the broader implications for industries like transportation and manufacturing. Understand the correlation between oil prices and stock market movement, and the role of other factors like interest rates and investor sentimen

Oil price swings are less likely to yield major changes in consumption, even among lower-income households.

The article discusses the volatility and fluctuations in crude oil prices over the last 10 years, highlighting the impact of global economic and political factors. It provides an overview of the price trends, factors affecting the decline in prices, and the subsequent recovery. The article also examines the influence of geopolitical developments and the COVID-19 pandemic on crude oil prices.

We find that oil supply shocks decrease average real wages, particularly skilled wages, and increase wage dispersion across regions, particularly unskilled wage dispersion. In a model with spatial energy intensity differences and nontradables, labor demand shifts, while explaining the response of average wages to oil supply shocks, have counterfactual implications for the response of wage dispersion. Only an additional response in labor supply can explain this latter fact, highlighting the importance of general equilibrium effects in a spatial context. We provide additional empirical evidence of regionally directed worker reallocation and housing prices consistent with our spatial model. Finally, we show that a calibrated version of our model can quantitatively match the estimated effects of oil supply shocks.

We document a sizable effect of oil price fluctuations on US banking variables by estimating an SVAR with sign restrictions as in Baumeister and Hamilton (2019). We find that oil market shocks that lead to a contraction in world economic activity unambiguously lower the amount of bank credit to the US economy, tend to decrease US banks' net worth, and tend to increase the US credit spread. The effects can be strong and long-lasting, or more modest and short-lived, depending on the source of the oil price fluctuations. The effects are stronger for smaller and lower leveraged banks.

The Western Canadian Select (WCS) oil price has experienced significant fluctuations over the past two decades, reflecting the volatile nature of global oil markets. In 2024, the annual average WCS oil price reached ***** U.S. dollars per barrel, a slight increase from the previous year. This price movement is part of a broader trend in the oil industry, where prices have been influenced by various economic and geopolitical factors. What impacts oil prices? Oil prices have been on a rollercoaster ride since the early 2000s, with dramatic fluctuations observed in OPEC Reference Basket oils. For instance, the Saharan Blend from Algeria saw its price rise from about ** U.S. dollars per barrel in 2002 to over *** U.S. dollars a decade later, before settling at ***** U.S. dollars in 2023. These price swings have been driven by major events such as the 2008 global financial crisis, the 2020 coronavirus pandemic, and the 2022 energy supply crisis following the Russia-Ukraine war. The volatility in oil prices has had far-reaching impacts on global economies and energy markets as they impact manufacturers and consumers. How regionally important crudes can influence the global economy While WCS prices reflect trends in the North American market, other regional benchmarks provide insights into global oil dynamics. For example, Dubai Crude (Fateh), an important benchmark for Asia, averaged ***** U.S. dollars per barrel in 2023, down from ***** U.S. dollars the previous year. Similarly, Russia's Urals crude oil, a major export brand, saw its price fluctuate in response to global events and policy decisions, such as the price cap imposed by the G7, EU, and Australia in December 2022. These regional variations highlight the complex interplay of supply, demand, and geopolitical factors in shaping global oil prices.

Germany Commodity Price: Energy Resources: WTI Crude Oil data was reported at 59.417 USD/Barrel in 01 Dec 2025. This records an increase from the previous number of 59.384 USD/Barrel for 28 Nov 2025. Germany Commodity Price: Energy Resources: WTI Crude Oil data is updated daily, averaging 57.984 USD/Barrel from Jan 2013 (Median) to 01 Dec 2025, with 3275 observations. The data reached an all-time high of 124.851 USD/Barrel in 08 Mar 2022 and a record low of 10.145 USD/Barrel in 21 Apr 2020. Germany Commodity Price: Energy Resources: WTI Crude Oil data remains active status in CEIC and is reported by Deutsche Börse Group. The data is categorized under Global Database’s Germany – Table DE.P: Commodity Prices. [COVID-19-IMPACT]

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.

Using US micro-level data on banks, we document a negative effect of high oil prices on US banks' balance sheets, more negative for highly leveraged banks. We set and estimate a general equilibrium model with banking and oil sectors that rationalizes those findings through the financial accelerator mechanism. This mechanism amplifies the effect of oil price shocks, making them non-negligible drivers of the dynamics of US banks' intermediation activity and of the US real economy. Macroprudential policy, in the form of a countercyclical capital buffer, can meaningfully address oil price fluctuations and reduce the volatility they cause in the US economy.