Wheat decreased 17.24 USd/BU or 3.13% since the beginning of 2025, 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 March of 2025.

The dataset contains daily price ranges calculated from the daily high and low prices for Chicago Wheat, Corn, and Oats futures contracts, starting in 1877. The data is manually extracted from the ``Annual Reports of the Trade and Commerce of Chicago'' (today, the Chicago Board of Trade, CBOT, which is part of the CME group).

The price range is calculated as Ranget = ln(Ht) - ln(Lt), where Ht and Lt are the highest and lowest price observed on trading day t.

Description of the dataset:

Date: The trading day, format dd-mm-yyyy

Range_W_F1: Price range Wheat futures, First expiration (nearby contract)

Range_W_F2: Price range Wheat futures, Second expiration

Range_C_F1: Price range Corn futures, First expiration (nearby contract)

Range_C_F2: Price range Corn futures, Second expiration

Range_O_F1: Price range Oats futures, First expiration (nearby contract)

Range_O_F2: Price range Oats futures, Second expiration

Explore the pivotal role of the wheat futures market in the global agricultural economy, focusing on price discovery, risk management, and market dynamics influenced by global supply-demand factors, technological advancements, and regulatory impacts.

Learn about the various factors that influence the wheat stock market price, including supply and demand dynamics, weather conditions, government policies, and global economic trends. Discover why the wheat market is highly volatile and how farmers, traders, and investors can manage the risks associated with wheat price fluctuations.

The monthly price of wheat (hard red winter) in the United States reached an all time high in May 2022, at over 520 U.S. dollars per metric ton. The unprecedented price increase began in mid-2020, due to the impact of the Covid-19 pandemic, and was later exacerbated by the Russo-Ukrainian War in March 2022. Before the war, Russia and Ukraine were among the world's five largest wheat exporters, and around one third of all international wheat imports came from these two countries.

The increase of 96 dollars per ton between February and March 2022 was the single largest price hike in U.S. history, and was only the second time that prices had exceeded 400 dollars - the first time this happened was due to the financial crisis of 2008. In the five years before the Covid-19 pandemic, the price of wheat generally fluctuated between 150 and 230 dollars per ton.

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

Wheat prices in Canada for Q1 2024 closed at 237 USD/MT. Canada's wheat market struggled with declining prices, impacted by a stronger Canadian dollar and rising shipping costs, making exports less competitive. High supply levels and reduced demand, both locally and globally, resulted in a bearish outlook and subdued market activity.

Explore the role of Soft Red Winter (SRW) wheat futures in the commodities market, covering price discovery, hedging, and trading dynamics vital for producers, traders, and speculators.

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 statistic depicts the average annual prices for U.S. wheat (HRW) from 2014 through 2026*. In 2023, the average price for U.S. wheat (HRW) stood at 340 nominal U.S. dollars per metric ton.

Explore the intricacies of the CBOT wheat barchart, a vital tool for traders and analysts to visualize wheat futures trading data on the Chicago Board of Trade. Learn how these charts represent historical and current wheat price trends and how traders use them alongside indicators like moving averages and RSI for informed market decisions.

United States Turnover: CBOT: Agricultural Futures: Wheat data was reported at 3,415,945.000 Contract in Oct 2018. This records an increase from the previous number of 2,831,916.000 Contract for Sep 2018. United States Turnover: CBOT: Agricultural Futures: Wheat data is updated monthly, averaging 594,842.500 Contract from Jan 1985 (Median) to Oct 2018, with 406 observations. The data reached an all-time high of 5,870,011.000 Contract in Aug 2018 and a record low of 103,067.000 Contract in Dec 1986. United States Turnover: CBOT: Agricultural Futures: Wheat data remains active status in CEIC and is reported by CME Group. The data is categorized under Global Database’s United States – Table US.Z021: CBOT: Futures: Turnover.

The Wheat Market Report is Segmented by Geography (North America, Europe, Asia-Pacific, South America, and Middle East and Africa). The Report Includes Production Analysis (Volume), Consumption Analysis (Volume and Value), Import Analysis (Volume and Value), Export Analysis (Volume and Value), and Price Trend Analysis of the Wheat Market. The Report Offers Market Estimation and Forecasts in Value (USD) and Volume (metric Tons).

China Settlement Price: ZCE: Strong Wheat: 4th Month data was reported at 3,198.000 RMB/Ton in 26 Mar 2025. This stayed constant from the previous number of 3,198.000 RMB/Ton for 25 Mar 2025. China Settlement Price: ZCE: Strong Wheat: 4th Month data is updated daily, averaging 2,712.000 RMB/Ton from Sep 2003 (Median) to 26 Mar 2025, with 5239 observations. The data reached an all-time high of 3,649.000 RMB/Ton in 09 Nov 2022 and a record low of 2,116.000 RMB/Ton in 02 Sep 2019. China Settlement Price: ZCE: Strong Wheat: 4th Month data remains active status in CEIC and is reported by Zhengzhou Commodity Exchange. The data is categorized under High Frequency Database’s Commodity Prices and Futures – Table CN.ZB: Zhengzhou Commodity Exchange: Commodity Futures: Settlement Price: Daily.

Explore the role of U.S. wheat futures in global commodity markets as key indicators of supply and demand, providing hedging and speculating tools for producers and traders. Understand how various factors like weather, trade policies, and economic trends impact wheat futures pricing and their significance in agricultural economic planning.

A "spread" can have multiple meanings, but it generally implies a difference between two comparable measures. These can be differences across space, across time, or across anything with a similar attribute. For example, in the stock market, there is a spread between the highest price a buyer is willing to pay and the lowest price a seller is willing to accept.

In this dataset, spread refers to differences in prices between two locations, an origin (e.g., Illinois, Iowa, etc.) and a destination (e.g., Louisiana Gulf, Pacific Northwest, etc.). Mathematically, it is the destination price minus the origin price.

Price spreads are closely linked to transportation. They tend to reflect the costs of moving goods from one point to another, all else constant. Fluctuations in spreads can change the flow of goods (where it may be more profitable to ship to a different location), as well as indicate changes in transportation availability (e.g., disruptions). For more information on how price spreads are linked to transportation, see the story, "Grain Prices, Basis, and Transportation" (https://agtransport.usda.gov/stories/s/sjmk-tkh6).

This is one of three companion datasets. The other two are grain prices (https://agtransport.usda.gov/d/g92w-8cn7) and grain basis (https://agtransport.usda.gov/d/v85y-3hep). 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, and there needs to be both an origin and a destination to have a price spread).

The origin and destination prices come from the grain prices dataset.

Wheat commodity trading refers to the buying and selling of wheat on regulated exchanges. Learn how traders use futures and options contracts to manage risk and speculate on price movements in the global wheat market.

Explore the various factors that determine the price of wheat commodity per bushel, including supply and demand, weather conditions, market speculation, and government policies. Understand how these factors lead to fluctuations in wheat prices and how global economic trends and trade policies can influence them. Gain insights into the importance of wheat prices as indicators of global economic and agricultural conditions, and learn about the major exchanges where wheat futures contracts are traded.

CBOT operates as part of the CME Group, offering a wide range of futures and options contracts across various asset classes. CBOT specializes in trading futures and options contracts for agricultural commodities, such as corn, soybeans, wheat, and oats, as well as financial instruments, including interest rates and stock indexes.

Abstract

Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

        A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.

Geographic coverage notes

The data cover the following sub-national areas: Ouaka, Mbomou, Bangui, Nana-Mambéré, Ouham, Sangha-Mbaéré, Ombella M'Poko, Mambéré-Kadéï, Vakaga, Ouham Pendé, Lobaye, Haute-Kotto, Kémo, Nana-Gribizi, Bamingui-Bangoran, Haut-Mbomou, Market Average