View monthly updates and historical trends for US Barley Farm Price Received. from United States. Source: US Department of Agriculture. Track economic dat…

Barley fell to 2,267 INR/T on December 1, 2025, down 0.70% from the previous day. Over the past month, Barley's price has fallen 1.71%, and is down 6.01% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Barley.

Australia Feedgrains Price: Barley data was reported at 287.500 AUD/Ton in Sep 2021. This records an increase from the previous number of 287.200 AUD/Ton for Aug 2021. Australia Feedgrains Price: Barley data is updated monthly, averaging 274.000 AUD/Ton from Jan 2007 (Median) to Sep 2021, with 177 observations. The data reached an all-time high of 432.500 AUD/Ton in Dec 2018 and a record low of 175.000 AUD/Ton in Jan 2017. Australia Feedgrains Price: Barley data remains active status in CEIC and is reported by Australian Bureau of Agricultural and Resource Economics and Sciences. The data is categorized under Global Database’s Australia – Table AU.P002: Agricultural Commodity Prices.

This dataset contains historical price information for four major grains—wheat, corn, soybeans, and milo—spanning from 2000 to 2022. Each record includes the date and the respective price for each grain, offering a detailed view of price trends and fluctuations over a 23-year period. This dataset is valuable for analyzing historical price trends, comparing grain prices, and understanding market dynamics in the grain industry.

Graph and download economic data for Producer Price Index by Commodity: Farm Products: Barley (WPU01220101) from Jan 1947 to Sep 2025 about barley, agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.

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).

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

This data set contains Ontario wheat grain prices collected by University of Guelph, Ridgetown Campus. The dataset includes daily prices of agricultural commodities at individual elevators in Ontario. Daily highs and lows are given for each commodity, as well as, daily Bank of Canada exchange rates. This dataset includes the complete data from January 1, 2020 to December 31, 2020.

Learn about the current state of the barley market, including factors affecting prices such as competition from other grains and the ongoing drought in the western United States. Stay informed to make informed decisions.

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.

The global barley market rose to $45.4B in 2024, with an increase of 3.2% against the previous year. Over the period under review, consumption showed a relatively flat trend pattern. As a result, consumption reached the peak level of $50B. From 2023 to 2024, the growth of the global market remained at a somewhat lower figure.

United States - Producer Price Index by Commodity: Farm Products: Barley was 149.90000 Index 1982=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Farm Products: Barley reached a record high of 366.24500 in June of 2022 and a record low of 43.40000 in August of 1969. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Farm Products: Barley - last updated from the United States Federal Reserve on December of 2025.

Global Barley Prices - Historical chart and current data through 2025.

The decline in revenue for industry farmers during the current period has primarily been driven by high global stocks and fierce international competition, compounded by climate volatility and challenging trade dynamics. High stocks of wheat and coarse grains are pressuring prices downward despite record domestic food use and demand for animal feed. Intense export competition from regions like the EU, Russia and Canada exacerbates this issue, making it difficult for US producers to maintain profit. Compounding the problem are climate and weather volatility, with increased instances of droughts and heat waves reducing yields and hindering production. Trade headwinds, including retaliatory tariffs and a strong US dollar, are also constraining exports, diminishing the competitiveness of US grain globally. Overall, industry revenue has dropped at a CAGR of 1.2% since 2020 to reach an expected $13.2 billion after a decrease of 6.3% in 2025. In addition to these external pressures, input costs remain a significant challenge for industry farmers. The persistently strong prices for fertilizers, pesticides and seeds, alongside increased agricultural wages and labor shortages, have elevated production expenses, straining profit as grain prices drop. Smaller and mid-sized farms are particularly affected, facing negative returns and low cash receipts. Some operations may be forced into consolidation if they are unable to absorb high costs. While some input prices, such as fuel and agrochemicals, have eased from huge spikes earlier in the current period, overall expenses continue to surpass commodity prices, eroding financial stability and forcing many producers to seek USDA program assistance to mitigate these challenges. Looking ahead, the wheat, barley, sorghum, oats and rye farming sector is expected to gradually recover as global stocks stabilize and demand grows, expanding at a CAGR of 0.9% to reach $13.8 billion in 2030. Easing supply chain disruptions and stabilizing input costs are expected to support this recovery. Future weakening of the US dollar stands to improve export competitiveness, offering some optimism for US producers. However, the recovery will vary across segments, with those benefiting from strong domestic demand or value-added products rebounding more quickly than those reliant on bulk exports.

Learn about the key factors affecting feed barley prices in the US and internationally, including supply and demand, trade tensions, weather patterns, and government policies. Stay informed to make informed decisions about this complex market.

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.

European Malting Barley Price Index by Country, 2022 Discover more data with ReportLinker!

This statistic displays the monthly sales price of barley in Europe from ************* to **************. The sales price of barley has decreased in the period under consideration from ****** euros per ton in ************* to ****** euros per ton in **************.

This dataset provides a comprehensive and up-to-date collection of futures related to corn, oat, and other grains. Futures are financial contracts obligating the buyer to purchase and the seller to sell a specified amount of a particular grain at a predetermined price on a future date.

Use Cases: 1. Crop Yield Predictions: Use machine learning models to correlate grain futures prices with historical data, predicting potential harvest yields. 2. Impact Analysis of Weather Events: Implement deep learning techniques to understand the relationship between grain price movements and significant weather patterns. 3. Grain Price Forecasting: Develop time-series forecasting models to predict future grain prices, assisting traders and stakeholders in decision-making.

Dataset Image Source: Photo by Pixabay: https://www.pexels.com/photo/agriculture-arable-barley-bread-265242/

Column Descriptions: 1. Date: The date when the data was recorded. Format: YYYY-MM-DD. 2. Open: Market's opening price for the day. 3. High: Maximum price reached during the trading session. 4. Low: Minimum traded price during the day. 5. Close: Market's closing price. 6. Volume: Number of contracts traded during the session. 7. Ticker: Unique market quotation symbol for the grain future. 8. Commodity: Specifies the type of grain the future contract represents (e.g., corn, oat).

This data set contains Ontario soybean grain prices collected by University of Guelph, Ridgetown Campus. The dataset includes daily prices of agricultural commodities at individual elevators in Ontario. Daily highs and lows are given for each commodity, as well as, daily Bank of Canada exchange rates.