Graph and download economic data for Producer Price Index by Commodity: Farm Products (WPU01) from Jan 1913 to Sep 2025 about agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.

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

CROP PRICE PREDICTION

INTRODUCTION

Crop yield prediction plays a vital role in modern agriculture, especially with the increasing adoption of data-driven approaches. Comprehensive datasets, including information about soil composition, environmental factors, historical yield data, and crop management practices, are crucial for accurate yield predictions. Analyzing and understanding these datasets can provide valuable insights for optimizing agricultural practices and ensuring sustainable crop production.

WHY IS YIELD PREDICTION IMPORTANT?

1. Optimized Production: Accurate yield predictions help farmers optimize their production plans by adjusting planting schedules, selecting suitable crop varieties, and implementing appropriate management practices.

2. Resource Efficiency: Data-driven yield predictions enable efficient use of resources such as water, fertilizers, and pesticides, leading to cost savings and reduced environmental impact.

3. Risk Mitigation: Predicting yields allows farmers to anticipate and mitigate risks such as crop failures due to adverse weather conditions, pest infestations, or diseases.

4. Market Planning: Yield predictions assist farmers in planning for market fluctuations by forecasting supply and demand dynamics, thereby optimizing marketing strategies and maximizing profits.

5. Sustainability: By promoting optimal resource use and reducing waste, accurate yield predictions contribute to sustainable agriculture practices and environmental conservation.

CONCLUSION

Accurate crop yield prediction is essential for modern agriculture's success, enabling farmers to make informed decisions, optimize resource use, mitigate risks, and enhance sustainability. Leveraging comprehensive datasets and advanced analytical tools empowers farmers and agricultural experts to improve production efficiency, resilience, and profitability, ultimately ensuring food security and environmental stewardship in the agricultural sector.

Agricultural commodities prices have had a small and uncertain effect on changes in food prices at least since 2008.

United States Agricultural Price Index: Received by Farmers: Food Commodities data was reported at 88.800 2011=100 in Oct 2018. This records a decrease from the previous number of 90.600 2011=100 for Sep 2018. United States Agricultural Price Index: Received by Farmers: Food Commodities data is updated monthly, averaging 101.000 2011=100 from Jan 2010 (Median) to Oct 2018, with 106 observations. The data reached an all-time high of 126.000 2011=100 in Apr 2014 and a record low of 81.000 2011=100 in Feb 2010. United States Agricultural Price Index: Received by Farmers: Food Commodities data remains active status in CEIC and is reported by National Agricultural Statistics Service. The data is categorized under Global Database’s United States – Table US.I043: Agricultural Price Index.

Graph and download economic data for Index of Prices Received by Farmers, All Groups for United States (M0460AUSM319NNBR) from Jan 1910 to Jan 1967 about agriculture, price index, indexes, price, and USA.

Agricultural Commodity Prices and Rainfall Data for India

Description: This dataset contains agricultural commodity price data for various districts of India, combined with rainfall information. It includes the modal, minimum, and maximum prices for commodities across different grades, along with the recorded annual rainfall for each district. The data is useful for analyzing trends in commodity pricing, understanding the impact of rainfall on agricultural outputs, and making informed decisions in agribusiness.

Columns:

• State: The state in India where the data was collected.
• District: The district within the state.
• Commodity Name: The name of the agricultural commodity.
• Year: The year when the data was recorded.
• Grade Standard Of Commodity: The quality grade of the commodity (e.g., Large, Medium, Small).-
• Modal Price For The Commodity (UOM: INR): The most common price for the commodity in Indian Rupees (INR).
• Minimum: The minimum price recorded for the commodity in INR.
• Maximum: The maximum price recorded for the commodity in INR.
• Annual_Rainfall: The total annual rainfall in millimeters (mm) for the district in that year.

Farm product prices, crops and livestock, by province (in dollars per metric tonne unless otherwise noted). Data are available on a monthly basis.

This dataset contains historical crop price data for Pakistan, by city. The data is collected from the Agriculture Marketing Information System (AMIS) Pakistan. AMIS is a government agency that collects and disseminates market information for agricultural commodities in Pakistan. The dataset includes the following information:

City: The city where the crop was sold Crop: The name of the crop Date: The date the crop was sold Price: The price of the crop per unit.

This dataset is a valuable resource for farmers, traders, and policymakers. It can be used to track crop prices over time and identify trends. This information can be used to make informed decisions about crop production and marketing.

The dataset is also useful for research purposes. It can be used to study the impact of factors such as weather, pests, and government policies on crop prices. This information can be used to develop strategies to improve crop production and marketing.

Graph and download economic data for Index of Farm Prices of Crops for United States (M04059USM323NNBR) from Jan 1910 to Dec 1966 about crop, agriculture, price index, indexes, price, and USA.

The agricultural price index represents prices received by farmers for all US agricultural products (both livestock and crops) with base year 2011. Data and forecast are sourced from the US Department of Agriculture (USDA). The value-weighted for either livestock or crops is based on the value of total production.

In the third quarter of 2025, the Producer Price Index (PPI) of agricultural products in China ranged at **** index points (same quarter of previous year = 100). After a considerable price decrease between the first quarter of 2020 and the third quarter of 2021, inflation picked up in the second and third quarter of 2022, mainly driven by rising pork prices, but also supported by a price increase of farm crops. Agricultural prices decreased again in 2023 and stabilized in 2024. The Producer Prices Index The Producer Price Index (PPI) measures the average change in selling prices received by domestic producers for their output. In combination with the Consumer Price Index (CPI), the PPI is used as an indicator to identify economic inflation or deflation. In contrast to CPI, which measures price levels of end consumers, the PPI measures the output price change from the perspective of sellers. In this sense, the Producer Price Index of agricultural products reflects changes in selling price received by farmers. Agricultural producer prices in China According to the graph at hand, producer prices for agricultural products picked up considerably in the second quarter of 2019. Inflation peaked in the first quarter of 2020 and fell back to a normal level in the fourth quarter of 2020. This development was mainly caused by an increase of Chinese producer prices for livestock, which were driven by the outbreak of the swine fever in 2019. The PPI for fishery in China fluctuated only slightely at around 100 index points during the same period, while producer prices for forestry products in China even saw a partially negative price development. During the third quarter of 2022, however, prices for livestock products grew considerably, while prices for farm crops in China indicated a moderate price increase.

Permutable AI’s Agricultural Commodities Intelligence provides comprehensive real-time insights into global agricultural markets. Covering grains, softs, livestock, and other key commodities, our system analyses critical fundamentals including supply and demand dynamics, crop yields, weather and climate impacts, and trade flows. Beyond fundamentals, our platform applies advanced story signal analysis to detect and track impactful market narratives. These include: New Story Breakouts – identifying the first emergence of market-moving events (e.g., drought warnings or trade policy changes). Story Volume Build Up – monitoring increasing coverage of agricultural developments such as export restrictions or yield forecasts. Story Direction Shifts – flagging changes in sentiment around ongoing narratives (e.g., moving from optimism to concern about harvests). Persistent Stories – capturing narratives that continue to shape market conditions, such as climate change impacts or supply chain disruptions. By integrating structured news analysis with macro fundamentals, Permutable AI equips traders, analysts, and corporates with actionable intelligence to anticipate risks and opportunities across the agricultural sector.

The EU Agricultural Price Indices (API) comprise:

• the index of producer prices of agricultural products (output);
• the index of purchase prices of the means of agricultural production (input).

A price index is a measure of the change in the prices of goods and services either as they leave their place of production or as they enter the production process. A measure of the change in the prices received by domestic producers for their outputs or of the change in the prices paid by domestic producers for their intermediate inputs. Therefore, basically, a price index illustrates how the price of a product or of a basket of products has changed since the base period. The base price of an index is 100 by agreement, meaning that, for instance, an index equal to 110 reflects an increase in the absolute price of 10% and an index equal to 95 a decrease of 5%.

An Agricultural Price Index shows how agricultural revenue and expenditure are influenced by their price component and is therefore connected with Economic Accounts for Agriculture (EAA).

The agricultural price indices may serve various purposes of economic analysis. Indeed, they provide information on trends in producer prices of agricultural products and purchase prices of the means of agricultural production, which facilitates the price comparison:

• between Member States and the European Union as a whole;
• among the different products within a Member State or the European Union.

Data is collected to disseminate quarterly and annual price indices including the annual early estimates within the Eurostat framework, so that the EU APIs are harmonised according to the EU methodology, described in the “Handbook for EU Agricultural Price Statistics” (Annex1).

However, prices indices cannot express differences between the Member States in terms of absolute agricultural price levels. Furthermore, EU APIs can differ from the indices of agricultural prices published by the national official websites of Member States, as the latter may be computed in respect of different base, formula or field of observation.

The EU Agricultural Price Indices (API) comprise:

• the index of producer prices of agricultural products (output);
• the index of purchase prices of the means of agricultural production (input).

A price index is a measure of the change in the prices of goods and services either as they leave their place of production or as they enter the production process. A measure of the change in the prices received by domestic producers for their outputs or of the change in the prices paid by domestic producers for their intermediate inputs. Therefore, basically, a price index illustrates how the price of a product or of a basket of products has changed since the base period. The base price of an index is 100 by agreement, meaning that, for instance, an index equal to 110 reflects an increase in the absolute price of 10% and an index equal to 95 a decrease of 5%.

An Agricultural Price Index shows how agricultural revenue and expenditure are influenced by their price component and is therefore connected with Economic Accounts for Agriculture (EAA).

The agricultural price indices may serve various purposes of economic analysis. Indeed, they provide information on trends in producer prices of agricultural products and purchase prices of the means of agricultural production, which facilitates the price comparison:

• between Member States and the European Union as a whole;
• among the different products within a Member State or the European Union.

Data is collected to disseminate quarterly and annual price indices including the annual early estimates within the Eurostat framework, so that the EU APIs are harmonised according to the EU methodology, described in the “Handbook for EU Agricultural Price Statistics” (Annex1).

However, prices indices cannot express differences between the Member States in terms of absolute agricultural price levels. Furthermore, EU APIs can differ from the indices of agricultural prices published by the national official websites of Member States, as the latter may be computed in respect of different base, formula or field of observation.

This dataset contains detailed information on the prices of various Indian crops, including rice, wheat, corn, lentils, and more. The data spans a specific period and provides a comprehensive view of market trends, supply, and demand for each crop. The dataset is structured for ease of use and includes features such as crop prices, dates, locations, and other relevant metrics.

Agricultural Prices: Average Weekly Prices: Retail: Salt: Kg: Paraíba data was reported at 1.770 BRL in 02 May 2025. This stayed constant from the previous number of 1.770 BRL for 25 Apr 2025. Agricultural Prices: Average Weekly Prices: Retail: Salt: Kg: Paraíba data is updated daily, averaging 0.990 BRL from Mar 2016 (Median) to 02 May 2025, with 478 observations. The data reached an all-time high of 2.000 BRL in 18 Oct 2024 and a record low of 0.600 BRL in 25 Mar 2016. Agricultural Prices: Average Weekly Prices: Retail: Salt: Kg: Paraíba data remains active status in CEIC and is reported by National Supply Company. The data is categorized under Brazil Premium Database’s Prices – Table BR.PA023: Agricultural Prices: CONAB: Average Weekly Prices: Retail: Salt. [COVID-19-IMPACT]