Corn fell to 383.01 USd/BU on August 8, 2025, down 0.39% from the previous day. Over the past month, Corn's price has fallen 4.07%, and is down 3.04% 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.

This statistic shows the development of corn prices within the American market from 1936 to 2023, per metric ton. In 1956, the price for one bushel of corn in the United States was around **** U.S. dollars. In 2016, one bushel of corn cost about **** U.S. dollars and was projected to decrease to *** U.S. dollars in 2023. The United States was the largest producer of corn worldwide in 2022.

In 2022, the average price of one bushel of corn was around **** U.S. dollars. That year, the United States was the largest producer of corn in the world.

Graph and download economic data for Producer Price Index by Commodity: Farm Products: Corn (WPU01220205) from Jan 1947 to Jun 2025 about corn, vegetables, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.

In 2024, the U.S. wet corn market decreased by -6.9% to $10.5B, falling for the second year in a row after four years of growth. In general, consumption recorded a relatively flat trend pattern. As a result, consumption attained the peak level of $11.9B. From 2023 to 2024, the growth of the market remained at a lower figure.

In recent years, the US corn farming industry has experienced volatile revenue largely driven by changes in corn prices, production levels and crop yields. Early in the current period, up through 2022, corn prices saw a significant increase, which resulted in considerable revenue growth for farmers. This increase was fueled by high demand for biofuels and animal feeds and limited global supplies. However, as production ramps up both domestically and internationally, the industry has begun to feel downward pressure on corn prices. Record yields have led to oversupply, driving prices downward and increasing market competition. While sectors like livestock agriculture and industrial production have supported demand, the surplus has outpaced consumption and kept prices lower, causing challenges for farmers trying to maintain profit as fertilizer and seed prices stay high. Industry revenue has grown at a CAGR of 1.9% to reach an estimated $66.9 billion after a decrease of 5.6% in 2025. On the international front, the US corn export market has demonstrated resilience despite reduced demand from China, driven by geopolitical tensions and China's shift toward agricultural self-sufficiency. Retaliatory tariffs have further strained this trade relationship, while increased corn production from South America has intensified global competition, impacting US market share. However, the Russia-Ukraine conflict has disrupted Ukrainian corn supplies, leading many countries to turn to the US as an alternative source. This shift has bolstered exports to Asian and Latin American markets, mitigating the decline from China. Reduced domestic demand for products like high fructose corn syrup due to health concerns has made international trade increasingly vital for balancing the US corn market. Corn prices will remain volatile in the coming years, influenced by fluctuating crude oil prices that impact ethanol production and growing international competition. Policy changes, such as ethanol mandates and evolving trade agreements, will reshape international demand, offering growth opportunities abroad if US farmers can adapt to new biofuel and market needs. Climate change is a significant concern, threatening yields due to heat stress and shifting precipitation and insect population patterns. To protect productivity, farmers will have to invest more in fertilizers, pesticides, irrigation technologies and drought-tolerant crops. Industry revenue is forecast to grow at a CAGR of 0.7% to reach $69.1 billion in 2030.

Explore the dynamics influencing U.S. corn prices, from weather impacts and supply-demand shifts to geopolitical factors and trade policies. Learn how prices fluctuate between $3 to $8 per bushel due to global influences and find out where to access the latest market insights and forecasts.

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.

This data product provides three Excel file spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat).

Using Futures Prices to Forecast the Season-Average Price and Counter-Cyclical Payment Rate for Corn, Soybeans, and Wheat

Farmers and policymakers are interested in the level of counter-cyclical payments (CCPs) provided by the 2008 Farm Act to producers of selected commodities. CCPs are based on the season-average price received by farmers. (For more information on CCPs, see the ERS 2008 Farm Bill Side-By-Side, Title I: Commodity Programs.)

This data product provides three Excel spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat). Users can view the model forecasts or create their own forecast by inserting different values for futures prices, basis values, or marketing weights. Example computations and data are provided on the Documentation page.

Spreadsheet Models

For each of the three major U.S. field crops, the Excel spreadsheet model computes a forecast for:

1. the national-level season-average price received by farmers and
2. the implied counter-cyclical payment rate.

Note: the model forecasts are not official USDA forecasts. See USDA's World Agricultural Supply and Demand Estimates for official USDA season-average price forecasts. See USDA's Farm Service Agency information for official USDA CCP rates.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Webpage with links to Excel files For complete information, please visit https://data.gov.

The price per unit of sweet corn for the processing market in the United States amounted to *** U.S. dollars per ton in 2024.

Graph and download economic data for Global price of Corn (PMAIZMTUSDM) from Jan 1990 to Jun 2025 about corn, World, and price.

Corn futures fell by 3 to 4 cents amidst market pressures, influenced by wheat markets and lower export sales. Discover the latest trends in corn pricing.

Graph and download economic data for Producer Price Index by Commodity: Farm Products: Corn (WPU012202) from Jan 1971 to Jun 2025 about corn, vegetables, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.

This data product provides three Excel file spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat). Using Futures Prices to Forecast the Season-Average Price and Counter-Cyclical Payment Rate for Corn, Soybeans, and Wheat Farmers and policymakers are interested in the level of counter-cyclical payments (CCPs) provided by the 2008 Farm Act to producers of selected commodities. CCPs are based on the season-average price received by farmers. (For more information on CCPs, see the ERS 2008 Farm Bill Side-By-Side, Title I: Commodity Programs.) This data product provides three Excel spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat). Users can view the model forecasts or create their own forecast by inserting different values for futures prices, basis values, or marketing weights. Example computations and data are provided on the Documentation page. Spreadsheet Models For each of the three major U.S. field crops, the Excel spreadsheet model computes a forecast for: the national-level season-average price received by farmers and the implied counter-cyclical payment rate. Note: the model forecasts are not official USDA forecasts. See USDA's World Agricultural Supply and Demand Estimates for official USDA season-average price forecasts. See USDA's Farm Service Agency information for official USDA CCP rates.

Prices are a fundamental component of exchange and have long been important to the functioning of agricultural markets. Grain prices are closely related to grain transportation, where the supply and demand for grain simultaneously determines both the price of grain, as well as the demand for grain transportation.

This data has corn, soybean, and wheat prices 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.

The data come from three sources: USDA-AMS Market News price reports, GeoGrain, and U.S. Wheat Associates. Links are included below. GeoGrain offers granular data for purchase. The GeoGrain data here is an average of those granular prices for a given state (and the "Southeast" region, which combines Arkansas, Mississippi, and Alabama).

This is one of three companion datasets. The other two are grain basis (https://agtransport.usda.gov/d/v85y-3hep) 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).

Corn futures experienced slight gains amidst US/Japan trade news, with modest selling interest and changes in ethanol production.

Graph and download economic data for Global price of Corn (PMAIZMTUSDQ) from Q1 1990 to Q2 2025 about corn, World, and price.

This paper examines the relationship between corn prices and hog prices in the United States using monthly time-series data in a two-stage least squares regression. Ethanol production and various types of genetically modified corn seed research and development are used as instrumental variables for corn prices to account for endogeneity in the model, by removing changes in corn and hog prices that occur due to the reverse-causal relationship between the two commodities. Ethanol production was determined to be the strongest instruments for corn prices. The results indicate that increases in the price of corn increase the price of hog by a smaller, yet still significant magnitude.

Explore how October corn prices are influenced by U.S. harvest progress, weather conditions, global demand, trade policies, macroeconomic factors, and renewable fuel policies.

Get the latest insights on price movement and trend analysis of Corn in different regions across the world (Asia, Europe, North America, Latin America and Middle East Africa).