Real-time commodities pricing data allows you to grasp where the market is, was and will be – from exchange data and OTC prices to specialist fundamentals.

Time series of major commodity prices and indices including iron, cooper, wheat, gold, oil. Data comes from the International Monetary Fund (IMF).All rights are reservedDataDataset contains Monthly prices for 53 commodities and 10 indexes, starting from 1980 to 2016, Last updated on march 17, 2016. The reference year for indexes are 2005 (meaning the value of indexes are 100 and all other values are relative to that year).LicenseThe IMF grants permission to visit its Sites and to download and copy information, documents, and materials from the Sites for personal, noncommercial usage only, without any right to resell or redistribute or to compile or create derivative works, subject to these Terms and Conditions of Usage and also subject to more specific restrictions that may apply to particular information within the Sites. Any rights not expressly granted herein are reserved.For more information please visit: Copyright and Usage.

Corn fell to 389.36 USd/BU on August 1, 2025, down 1.19% from the previous day. Over the past month, Corn's price has fallen 9.29%, and is down 3.45% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on August of 2025.

Graph and download economic data for Global Price Index of All Commodities (PALLFNFINDEXQ) from Q1 2003 to Q2 2025 about World, commodities, price index, indexes, and price.

Graph and download economic data for Producer Price Index by Commodity: Advertising Space and Time Sales (WPU36) from Jun 2009 to Jun 2025 about advertisement, sales, commodities, PPI, inflation, price index, indexes, price, and USA.

Gold rose to 3,362.51 USD/t.oz on August 1, 2025, up 2.25% from the previous day. Over the past month, Gold's price has risen 0.15%, and is up 37.65% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on August of 2025.

Commodity Services Market Outlook

In 2023, the global commodity services market size was valued at approximately USD 12 billion and is projected to reach USD 18 billion by 2032, growing at a CAGR of 4.5% during the forecast period. The market's growth can be attributed to the increasing globalization of trade, advancements in technology, and heightened demand for risk management and advisory services in volatile markets. These factors are driving the market toward a sustainable growth trajectory.

The primary growth factor for the commodity services market is the growing need for risk management in the face of fluctuating commodity prices. As global markets become more interconnected, the volatility in commodity prices has escalated, necessitating advanced risk management tools and services. Companies across various sectors, including agriculture, energy, and metals, are increasingly leveraging these services to mitigate risks and ensure market stability. These risk management services cover a broad spectrum, from hedging strategies using futures and options to more complex financial instruments.

Another key driver is the technological advancements in commodity trading and brokerage services. The advent of sophisticated trading platforms and algorithms has revolutionized the commodity services market. These technologies enable faster transaction execution, enhanced data analytics, and improved market intelligence, thereby attracting more participants into the market. Furthermore, blockchain technology is being integrated for increased transparency and reduced fraud, which further boosts market confidence and participation.

The increasing demand for specialized research and advisory services also fuels the market's growth. With the complexity of global markets, businesses seek in-depth market analysis, trend forecasting, and strategic advice to make informed decisions. Research and advisory firms provide valuable insights into market dynamics, regulatory changes, and economic indicators, helping companies navigate the intricate landscape of commodity trading. This service segment is seeing robust growth as companies become more dependent on expert guidance to optimize their trading strategies.

Regionally, North America holds a significant share of the commodity services market, driven by its well-established financial markets and advanced technological infrastructure. The region's dominance is expected to continue, supported by the presence of major commodity exchanges and brokerage firms. Meanwhile, the Asia Pacific region is experiencing the fastest growth, primarily due to expanding industrial activities and increasing participation in global trade. The burgeoning economies of China and India, in particular, are key contributors to this regional growth, with their rising demand for various commodities.

Trading and Brokerage Analysis

The trading and brokerage segment is a cornerstone of the commodity services market, providing essential platforms and services for buying and selling various commodities. This segment has evolved significantly with the advent of electronic trading platforms that offer real-time market data, automated trading systems, and enhanced connectivity across global markets. These platforms have democratized access to commodity trading, allowing even small and medium-sized enterprises to participate actively.

In recent years, the role of brokerage firms has expanded beyond mere transaction facilitation to providing comprehensive market analysis, trading recommendations, and personalized investment strategies. Brokerage firms are now leveraging advanced analytics and big data to offer tailored solutions to their clients, enhancing their decision-making capabilities. This trend is particularly prominent in the energy and metals sectors, where market dynamics are highly complex and require specialized expertise.

Moreover, the integration of blockchain technology is poised to transform the trading and brokerage landscape. Blockchain offers unparalleled transparency and security, reducing the risk of fraud and ensuring the integrity of transactions. Several commodity exchanges and brokerage firms are already piloting blockchain-based platforms, which could set a new standard for the industry. This technological shift is expected to attract more institutional investors, further boosting market liquidity and stability.

The trading and brokerage segment also faces challenges, particularly in terms of regulatory compliance and cybersecurity. With increasi

GSCI fell to 545.58 Index Points on August 1, 2025, down 1.52% from the previous day. Over the past month, GSCI's price has fallen 1.60%, but it is still 2.35% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on August of 2025.

Learn about the trading hours for crude oil commodity trading around the world, including North America, Europe, Asia, and Australia. Find out the specific exchange and hours for each region, as well as the possibility of after-hours trading. Discover how the global nature of crude oil trading accommodates traders from different time zones.

We introduce a broad yet detailed data framework to assess the physical basis of modern industrial societies based on trends in their commodity demand. Using the example of the United States from 1900 to 2020, we consider both absolute commodity demand (ABS) and demand indexed to economic activity, otherwise known as intensity of use (IOU), for one hundred commodities that constitute the bulk of the material entering the US economy annually. The commodities selected are generally raw materials that enter the economy as industrial inputs that are further processed and incorporated into intermediate and finished products. The data show that ABS for nearly all the 100 commodities rose steadily until 1970 with IOU consistently rising for many as well. After that time, the trends for different groups of commodities start to diverge. Comparing ABS and IOU for the years 1970 and 2020 brings into focus the divergent trends. We find that for many metals and mineral commodities, domestic consumpt..., The database is an Excel workbook with three tabs. Tab 1 - Table S1 (Historical Data)  - Contains the reported data on apparent consumption of 100 commodities in the United States generally denominated in metric tons. These data were not generated, or calculated, but taken directly from were collected online from US government natural resources agencies. No processing of the data took place other than normalization. Table S1 also includes a times series from 1900 to 2020 on US Gross Domestic Product. Tab 2  - Table S2 (Technical notes) - Gives the source of data for each of the commodities listed in Table S1 as well as technical notes regarding the data as necessary. Tab 3 - ABS-IOU – Presents the calculated values for the variables IOU2020/1970 and ASB2020/1970 as shown in Figure 3 of the paper. These calculated values are based directly on data from Table S1., , # Data from: Is America dematerializing? Trends and tradeoffs in historic demand for one hundred commodities in the United States https://doi.org/10.5061/dryad.k6djh9wfq

Reported Consumption Data for 100 commodities in the United States for the years 1900-2020 (coverage subject to data availability)

Description of the data and file structure

Simple excel file. Worksheet 1 includes the historical data by commodity. Worksheet 2 contains the technical notes for each commodity including the data sources. Worksheet 3 contains the calculated values for ABS and IOU, which are shown in Figure 3. of the paper.

Sharing/Access information

Links to other publicly accessible locations of the data:

• https://phe.rockefeller.edu/wp-content/uploads/2024/05/Wernick_100-commodities-Tables-S1-S2-050624.xlsx

Data was derived from the following ...

Content

The dataset contains monthly prices for 70 сommodities. Columns description is available in a separate attached file.

Acknowledgements

Data is collected from the official website of The World Bank: Commodity Markets (https://www.worldbank.org/en/research/commodity-markets#1).

Inspiration

Data can be used for time series modelling or time series clustering methods as well as for conducting exploratory data analysis for research papers or any other scientific activity.

The balanced annual panel data for 32 sub-Saharan countries from 2000 to 2020 was used for this study. The countries and period of study was informed by availability of data of interest. Specifically, 11 agricultural commodity dependent countries, 7 energy commodity dependent countries and 14 mineral and metal ore dependent countries were selected (Appendix 1). The annual data comprised of agricultural commodity prices, global oil prices (GOP) and mineral and metal ore prices, export value of the dependent commodity, total export value of the country, real GDP (RGDP) and terms of trade (TOT). The data for export value of the dependent commodity, total export value of the country, real GDP and terms of trade was sourced from world bank database (World Development Indicators). Data for agricultural commodity prices, global oil prices (GOP) and mineral and metal ore prices are obtained from World Bank commodity price data portal. This study used data from global commodity prices from the World Bank's commodity price data site since the error term (endogenous) is connected with each country's commodity export price index. The pricing information covered agricultural products, world oil, minerals, and metal ores. One benefit of adopting international commodity prices, according to Deaton and Miller (1995), is that they are frequently unaffected by national activities. The utilization of studies on global commodity prices is an example (Tahar et al., 2021). The commodity dependency index of country i at time i was computed as the as the ratio of export value of the dependent commodity to the total export value of the country. The commodity price volatility is estimated using standard deviation from monthly commodity price index to incorporate monthly price variation (Aghion et al., 2009). This approach addresses challenges of within the year volatility inherent in the annual data. In footstep of Arezki et al. (2014) and Mondal & Khanam (2018), standard deviation is used in this study as a proxy of commodity price volatility. The standard deviation is used because of its simplicity and it is not conditioned on the unit of measurement.

Graph and download economic data for Producer Price Index by Commodity: Advertising Space and Time Sales: Advertising Space Sales in Newspapers, Print Only (WPU36110203) from Sep 2015 to Jun 2025 about time, periodicals, advertisement, printing, sales, commodities, PPI, price index, indexes, price, and USA.

This dataset aggregates daily wholesale price data for a wide spectrum of agricultural commodities traded across India’s regulated markets (mandis). It captures minimum, maximum, and modal prices, enabling detailed analysis of price dispersion and volatility over time. Data is sourced directly from the AGMARKNET portal and made available under the National Data Sharing and Accessibility Policy (NDSAP). With over 165,000 views and nearly 400,000 downloads, it’s a cornerstone resource for economists, agronomists, and data scientists studying India’s commodity markets.

This dataset provides daily wholesale minimum, maximum, and modal prices for a wide variety of agricultural commodities across India’s mandis, sourced from the AGMARKNET portal and published on Data.gov.in under NDSAP, with records dating back to 2013 and updated as of 19 May 2025 via a REST API; it includes key fields like Arrival_Date, State, District, Market, Commodity, Variety, Min_Price, Max_Price, and Modal_Price, making it ideal for time-series analysis, price-trend visualizations, and commodity forecasting.

Income-Before-Tax Time Series for Multi Commodity Exchange of India Limited. Multi Commodity Exchange of India Limited, a commodity derivatives exchange, provides a platform to facilitate online trading of commodity derivatives in India. It offers iCOMDEX, a real-time commodity futures price indices; and trades in bullion, industrial metals, energy, and agricultural commodities. The company also provides trade clearing and settlement services; and data feed subscription and membership services. It has strategic alliances, and consultancy and collaboration agreements with various exchanges, such as CME Group, Dalian Commodity Exchange, London Metal Exchange, European Energy Exchange AG, Taiwan Futures Exchange, and Zhengzhou Commodity Exchange, Jakarta Futures Exchange, and Chittagong Stock Exchange Limited. The company was incorporated in 2002 and is based in Mumbai, India.

Russia Commodity Exchanges: Number of Employees excl Part Time data was reported at 1,134.000 Person in 2018. This records an increase from the previous number of 1,024.000 Person for 2017. Russia Commodity Exchanges: Number of Employees excl Part Time data is updated yearly, averaging 444.000 Person from Dec 1993 (Median) to 2018, with 26 observations. The data reached an all-time high of 4,300.000 Person in 1993 and a record low of 151.000 Person in 2014. Russia Commodity Exchanges: Number of Employees excl Part Time data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Financial Market – Table RU.ZC001: Commodity Exchanges: Summary.

China Settlement Price: Dalian Commodity Exchange: Live Hog: 3rd Month data was reported at 13,870.000 RMB/Ton in 13 May 2025. This records a decrease from the previous number of 13,885.000 RMB/Ton for 12 May 2025. China Settlement Price: Dalian Commodity Exchange: Live Hog: 3rd Month data is updated daily, averaging 17,100.000 RMB/Ton from Jan 2021 (Median) to 13 May 2025, with 1049 observations. The data reached an all-time high of 28,005.000 RMB/Ton in 02 Mar 2021 and a record low of 12,840.000 RMB/Ton in 10 Jan 2025. China Settlement Price: Dalian Commodity Exchange: Live Hog: 3rd Month data remains active status in CEIC and is reported by Dalian Commodity Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Dalian Commodity Exchange: Commodity Futures: Settlement Price: Daily.

Wheat fell to 516.75 USd/Bu on August 1, 2025, down 1.24% from the previous day. Over the past month, Wheat's price has fallen 8.38%, and is down 4.13% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on August of 2025.

The attached zip file contains the data and code to replicate the paper "Commodity prices and the US Dollar".

Russia Commodity Price: Channels data was reported at 43,802.000 RUB/Ton in 15 May 2020. This stayed constant from the previous number of 43,802.000 RUB/Ton for 14 May 2020. Russia Commodity Price: Channels data is updated daily, averaging 26,714.000 RUB/Ton from May 2005 (Median) to 15 May 2020, with 4595 observations. The data reached an all-time high of 52,297.000 RUB/Ton in 17 May 2018 and a record low of 14,356.000 RUB/Ton in 31 Mar 2006. Russia Commodity Price: Channels data remains active status in CEIC and is reported by Metal.Com.Ru Trade System. The data is categorized under Daily Database’s Commodity Prices and Futures – Table PG003: Metals Trading Price.