Wheat fell to 529.25 USd/Bu on December 1, 2025, down 0.33% from the previous day. Over the past month, Wheat's price has fallen 2.62%, and is down 1.53% 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 December of 2025.

Learn about the importance of live grain market prices and how to access up-to-date information on the current prices of different grain commodities through commodity exchanges, news and analysis platforms, and free online price tracking tools.

View monthly updates and historical trends for Grains Price Index. Source: World Bank. Track economic data with YCharts analytics.

Corn rose to 433.53 USd/BU on December 2, 2025, up 0.01% from the previous day. Over the past month, Corn's price has fallen 0.17%, but it is still 2.43% higher than a year ago, 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 December of 2025.

Learn about live grain commodity prices and how they impact the cost of production for farmers and the price consumers pay for food products. Track these prices on exchanges like CME, ICE, and MGEX to monitor broader trends in the agricultural industry.

Permutable AI’s Wheat Intelligence tracks global wheat markets with millisecond precision, providing data and insights that reflect both supply-side fundamentals and sentiment-driven price movements. Our platform captures key market signals including: Supply and yield factors – monitoring crop conditions, planting, and harvest updates across major producing regions. Trade and demand dynamics – tracking import/export quotas, government procurement, and global consumption trends. Weather and climate impacts – identifying droughts, floods, storms, and seasonal variations affecting wheat production. Story signal analysis – detecting early headlines (e.g., wheat_first_headline_detection), monitoring volume build-up around market-moving stories, and flagging direction changes in sentiment (e.g., food security risks, geopolitical tensions, fertiliser costs). With the ability to process millions of global news stories in real time, Permutable AI enables traders, analysts, and policymakers to anticipate shifts in wheat supply, pricing, and sentiment before they impact the market.

View yearly updates and historical trends for US Corn, Grain Price Received. from United States. Source: US Department of Agriculture. Track economic data…

The daily price of wheat is influenced by supply and demand dynamics, weather conditions, government policies, and global economic trends. Market participants rely on various sources of information to track these factors and make informed decisions. This article explores the factors affecting wheat prices and the importance of monitoring them in the wheat market.

Explore the dynamics influencing the online price of corn, including supply and demand, weather conditions, and geopolitical events. Discover how stakeholders like farmers and investors track price fluctuations and rely on real-time data from commodity exchanges for accurate pricing insights.

Explore the factors affecting wheat prices per ton, including weather, geopolitical tensions, and market speculation. Learn how global demand, quality, and futures markets influence costs and discover strategies for tracking real-time commodities prices.

Basis reflects both local and global supply and demand forces. It is calculated as the difference between the local cash price and the futures price. It affects when and where many grain producers and shippers buy and sell grain. Many factors affect basis—such as local supplies, storage and transportation availability, and global demand—and they interact in complex ways. How changes in basis manifest in transportation is likewise complex and not always direct. For instance, an increase in current demand will drive cash prices up relative to future prices, and increase basis. At the same time, grain will enter the transportation system to fulfill that demand. However, grain supplies also affect basis, but will have the opposite effect on transportation. During harvest, the increase in the supply of grain pushes down cash prices relative to futures prices, and basis weakens, but the demand for transportation increases to move the supplies.

For more information on how basis is linked to transportation, see the story, "Grain Prices, Basis, and Transportation" (https://agtransport.usda.gov/stories/s/sjmk-tkh6), and links below for research on the topic.

This data has corn, soybean, and wheat basis for a variety of locations. These include origins—such as Iowa, Minnesota, Nebraska, and many others—and destinations, such as the Pacific Northwest, Louisiana Gulf, Texas Gulf, and Atlantic Coast.

This is one of three companion datasets. The other two are grain prices (https://agtransport.usda.gov/d/g92w-8cn7) and grain price spreads (https://agtransport.usda.gov/d/an4w-mnp7). These datasets are separate, because the coverage lengths differ and missing values are removed (e.g., there needs to be a cash price and a futures price to have a basis price).

The cash price comes from the grain prices dataset and the futures price comes from the appropriate futures market, which is Chicago Board of Trade (CME Group) for corn, soybeans, and soft red winter wheat; Kansas City Board of Trade (CME Group) for hard red winter wheat; and the Minneapolis Grain Exchange for hard red spring wheat.

View monthly updates and historical trends for US Wheat Price Received. from United States. Source: US Department of Agriculture. Track economic data with…

Graph and download economic data for Global price of Wheat (PWHEAMTUSDM) from Jan 1990 to Jun 2025 about wheat, World, and price.

The price of coarse grains tracks the prices of barley, oats and sorghum. Other varieties of coarse grains, such as rye and rough rice, are excluded from the report, as they only account for about 2% of production. Producer price indexes for these three grains are combined using a weighted average based on yearly disappearance levels. Annual figures presented in this report are the equally weighted averages of monthly means. Data is in real terms with a base of 1982 and sourced from the Bureau of Labor Statistics.

Grain Loss Monitor Market Outlook

According to our latest research, the global grain loss monitor market size reached USD 1.04 billion in 2024, reflecting a robust demand across agricultural sectors worldwide. The market is projected to grow at a CAGR of 7.2% from 2025 to 2033, reaching an estimated USD 1.97 billion by 2033. This growth is primarily driven by the increasing need for precision agriculture technologies, rising global food demand, and the urgent requirement to minimize post-harvest losses. As per our analysis, technological advancements and the integration of digital solutions are further accelerating market expansion.

The primary growth factor for the grain loss monitor market is the intensifying global focus on food security and sustainable agriculture. As the world population continues to rise, efficient management of food resources has become paramount. Grain loss monitors play a crucial role in minimizing post-harvest losses by providing real-time feedback to operators during harvesting, ensuring optimal machine settings and reducing wastage. Adoption of these technologies is further supported by government policies and subsidies aimed at encouraging precision farming practices. Additionally, the growing awareness among farmers regarding the economic impact of grain losses is fostering the widespread implementation of advanced monitoring systems.

Technological innovation is another significant driver propelling the grain loss monitor market. Leading manufacturers are investing heavily in research and development to introduce next-generation monitors equipped with advanced sensors, artificial intelligence, and IoT connectivity. These innovations enable more accurate detection of grain loss, seamless integration with modern harvesting machinery, and data-driven decision-making for operators. The emergence of cloud-based analytics platforms has also enhanced the value proposition of grain loss monitors, allowing for remote monitoring and predictive maintenance. As a result, both large agricultural enterprises and smallholder farmers are increasingly adopting these solutions to improve efficiency and profitability.

The expansion of the grain loss monitor market is also being fueled by the modernization of agricultural practices in emerging economies. Countries in Asia Pacific, Latin America, and Africa are witnessing a surge in mechanization, driven by the need to enhance productivity and meet the dietary needs of growing populations. International organizations and governments are actively promoting the use of precision agriculture tools, including grain loss monitors, to address the challenges of food wastage and climate change. This trend is expected to create substantial growth opportunities for market players, particularly as affordable and user-friendly monitoring solutions are introduced to cater to small and medium-sized farms.

From a regional perspective, Asia Pacific is poised to dominate the grain loss monitor market throughout the forecast period, owing to its large agricultural base and rapid adoption of advanced farming technologies. North America and Europe are also significant markets, characterized by high mechanization rates and strong regulatory support for sustainable agriculture. Meanwhile, Latin America and the Middle East & Africa are emerging as high-potential regions, driven by increasing investments in agricultural infrastructure and growing awareness of post-harvest loss reduction. Overall, the global grain loss monitor market is set for steady expansion as stakeholders across the value chain recognize the critical importance of minimizing grain losses.

Product Type Analysis

The grain loss monitor market by product type is segmented into optical grain loss monitors, acoustic grain loss monitors, sensor-based grain loss monitors, and others. Optical grain loss monitors are gaining significant traction due to their ability to provide precise and real-time measurement of grain loss during harvesting operations. These monitors utilize advanced imaging technology to detect and quantify grain loss, offering farmers actionable insights to optimize machine settings. The growing adoption of optical solutions is attributed to their high accuracy, minimal maintenance requirements, and compatibility with a wide range of combine harvesters. As the demand for data-driven farming increases, optical grain loss monitors are expected to maintain a strong market position, particularly in developed

View yearly updates and historical trends for US Sorghum, Grain Price Received. from United States. Source: US Department of Agriculture. Track economic d…

This dataset tracks annual reduced-price lunch eligibility from 2013 to 2023 for Grain Valley North Middle School vs. Missouri and Grain Valley R-V School District

Commodity Price Range 1877-Present

Historical Futures Contract Pricing for Wheat, Corn, and Oats

By [source]

About this dataset

This dataset contains over 140 years of historical commodity price ranges for wheat, corn, and oats futures contracts. It provides a glimpse into the evolution of our modern economic markets and the constant fluctuations in demand and supply that occur at all times. This data is invaluable to academic researchers, corporate strategists, economists, investors and traders alike as it reveals timely insight into various commodities' pricing trends over time. Each record includes the corresponding highest and lowest prices for each particular well-traded commodity on each particular day since 1877— providing an essential view into market dynamics across multiple decades. Use this data to identify recent pricing patterns or make predictions about future prices – no matter how you decide to use it–this may give you further insight into the ever-changing marketplace

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How to use the dataset

This dataset contains historical commodity price ranges for wheat, corn, and oats futures contracts from 1877 to present. It is a great resource for anyone interested in analyzing the trends of these commodities over time. Each row contains one day's data on the low and high prices of each contract.

To use this dataset, start by looking at the columns. There are several columns to choose from depending on which type of commodity you would like to analyze: Range_W_F1 (Lowest Price of Wheat Futures Contract), Range_W_F2 (Highest Price of Wheat Futures Contract), Range_C_F1 (Lowest Price of Corn Futures Contract), Range_C_F2 (Highest Price of Corn Futures Contract) and Range_O_F1 & 2 (Lowest and Highest Prices respectively for Oats Futures Contracts). Once you have selected the relevant columns for your analysis, pick a date range to focus on and filter out the rows outside that range. This will leave only those days within your chosen timeframe in the dataset so you can begin analyzing them more closely.

For an in-depth analysis it can be helpful to add other pieces data such as weather information or other economic indicators alongside these price ranges so you can investigate possible correlations between different factors that affect pricing in these markets over time. No matter how complex an analysis you might want to do with this data, this dataset provides a good starting point with reliable historical records dating all the way back over 140 years ago!

Research Ideas

• Market analysis to identify trends in prices of different commodities over time.
• Predictive modeling to forecast future prices based on past price ranges and market conditions.
• Proactive risk management strategies by tracking changes in commodity prices and anticipating potential changes in raw material costs for manufacturers or businesses that rely on commodities as part of their production processes

Acknowledgements

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

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: rangedata_commodities_since1877.csv | Column name | Description | |:---------------|:---------------------------------------------------------------| | Date | Date of the commodity price range. (Date) | | Range_W_F1 | Lowest price of wheat futures contract for the day. (Numeric) | | Range_W_F2 | Highest price of wheat futures contract for the day. (Numeric) | | Range_C_F1 | Lowest price of corn futures contract for the day. (Numeric) | | Range_C_F2 | Highest price of corn futures contract for the day. (Numeric) | | Range_O_F1 | Lowest price of oats futures contract for the day. (Numeric) | | Range_O_F2 | Highest price of oats futures contract for the day. (Numeric) |

Acknowledgements

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

View monthly updates and historical trends for US Corn Price. Source: International Monetary Fund. Track economic data with YCharts analytics.

Blockchain Grain Trading Market Outlook

According to our latest research, the global Blockchain Grain Trading market size reached USD 1.18 billion in 2024, reflecting a robust momentum in digital transformation across the agricultural commodities sector. The market is forecasted to grow at a CAGR of 23.6% from 2025 to 2033, with the total market size anticipated to reach USD 9.88 billion by 2033. This impressive growth trajectory is being driven by increasing demand for transparency, efficiency, and traceability in grain trading operations, as well as the proliferation of blockchain-based platforms that streamline transactions and reduce fraud.

A primary growth factor for the Blockchain Grain Trading market is the escalating need for enhanced supply chain transparency. Traditional grain trading systems often suffer from inefficiencies and a lack of real-time visibility, leading to disputes, delays, and potential losses. Blockchain technology addresses these challenges by providing a decentralized, immutable ledger that enables stakeholders to track grain provenance, quality, and transaction history with unprecedented accuracy. As regulatory frameworks around food safety and traceability become more stringent globally, the adoption of blockchain solutions is set to accelerate, ensuring compliance and fostering trust among all participants in the value chain.

Another significant driver is the increasing digitization of payment and settlement processes within the grain trading ecosystem. Blockchain platforms facilitate faster, more secure, and cost-effective transactions by automating payment settlements and reducing the reliance on intermediaries. This not only minimizes transaction costs but also mitigates risks related to payment defaults and fraud. Furthermore, the integration of smart contracts into blockchain-based grain trading platforms is revolutionizing contract management by enabling self-executing agreements that are automatically enforced when predefined conditions are met. This automation streamlines operations, reduces administrative overhead, and accelerates the overall trading cycle.

The rise of collaborative initiatives and partnerships among technology providers, agri-businesses, and regulatory bodies is also propelling market growth. Major grain-producing countries and multinational food processing companies are increasingly investing in blockchain pilots and consortiums to standardize data protocols and enhance interoperability across platforms. These collaborations are not only driving technological innovation but are also addressing key challenges related to data privacy, scalability, and regulatory compliance. As a result, the industry is witnessing a surge in the deployment of blockchain solutions tailored to the unique needs of the grain trading sector, further fueling market expansion.

From a regional perspective, North America and Europe are leading the adoption of blockchain grain trading platforms, driven by advanced digital infrastructure, supportive regulatory environments, and the presence of major agri-business players. The Asia Pacific region, however, is emerging as a high-growth market due to its large agricultural base, increasing investments in agri-tech, and government initiatives aimed at modernizing the food supply chain. Latin America and the Middle East & Africa are also showing promising potential as stakeholders in these regions recognize the benefits of blockchain in enhancing grain market efficiency and competitiveness. Overall, the global outlook for the Blockchain Grain Trading market remains highly positive, with significant opportunities for innovation and value creation across all regions.

Component Analysis

The Blockchain Grain Trading market is segmented by component into Platform and Services, each playing a critical role in the overall ecosystem. The Platform segment encompasses the core blockchain infrastructure that enables secure, transparent, and immutable recording of grain transactions. This includes distributed ledger technology, consensus mechanisms, and integrate