Food Price Index in World increased to 128 Index Points in June from 127.30 Index Points in May of 2025. This dataset includes a chart with historical data for World Food Price Index.

The FAO Food Price Index (FFPI) averaged 124.9 points in January 2025, down 2.1 points from December 2024. The highest value for the index in the past 23 years was reached in March 2022. However, the rate of food price increases has been decreasing since.

Food prices worldwide The annual FAO Food Price Index (FFPI) by category shows that the price of vegetable oils grew by a particularly large margin. One of the factors that influenced the spike in oil prices worldwide during 2020 and 2021 were the supply-chain disruptions during the COVID-19 pandemic. Moreover, after the war in Ukraine, shipping costs and grain prices also had a noticeable impact on global food prices. Global food prices are calculated to have increased by 3.68 percent, due to changes in shipping costs and grain prices. The European Union (EU) has experienced a particularly high increase in the annual consumer prices for food and non-alcoholic beverages, as compared to other selected countries worldwide. Inflation in Europe

The inflation rate for food in the EU grew from 0.2 percent in May 2021 to 19.2 percent in March 2023, as compared to the same month in the previous year. In the following months, the food inflation started decreasing again, reaching 1.86 percent in April 2024. The overall inflation rate in the Euro area reached its peak in December 2022 at 9.2 percent. The rate has since fallen to 2.4 percent in December 2024. As measured by the Harmonized Index of Consumer Prices (HICP), inflation rates in Europe were highest in Turkey, North Macedonia, and Romania as of December 2024.

Graph and download economic data for Global price of Food index (PFOODINDEXM) from Jan 1992 to Jun 2025 about World, food, indexes, and price.

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.

This statistic shows a forecast of the development in selected food commodity prices from 2012 to 2021. The cost of fish is expected to rise by 29.4 percent over this period.

Egypt International Commodity Price Index: Food data was reported at 231.700 2000=100 in Sep 2010. This records an increase from the previous number of 220.200 2000=100 for Aug 2010. Egypt International Commodity Price Index: Food data is updated monthly, averaging 200.225 2000=100 from Jun 2007 (Median) to Sep 2010, with 40 observations. The data reached an all-time high of 269.060 2000=100 in Jun 2008 and a record low of 169.830 2000=100 in Jun 2007. Egypt International Commodity Price Index: Food data remains active status in CEIC and is reported by Information and Decision Support Center. The data is categorized under Global Database’s Egypt – Table EG.I024: International Commodity Price Index: 2000=100. Rebased from 2000=100 to 2005=100 Replacement series ID: 255969203

Data and code to reproduce the results reported in the paper

Agricultural Producer Prices (APP) are prices received by farmers for their produce at the farm gate; i.e. at the point where the commodity leaves the farm. APP do not cover the costs after the farm gate; e.g. transportation cost from the farm gate to the nearest market or first point of sale, warehousing costs, processing costs and market charges (if any) for selling the produce. FAOSTAT gives free access to food and agriculture data for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available. Annual APP data are provided from 1991 to the previous year for over 160 countries and about 200 commodities, and monthly APP data are provided from January 2010 to December of the previous year for over 60 countries and about 200 commodities. APP are used, along with production data, to estimate value of production for a country, by commodity and in total, as well as Producer Price Indexes, which measure price inflation. APP also enable analysts to analyse price transmission and volatility.

Studies that examine the impact of food prices on conflict usually assume that (all) changes in international food prices are exogenous shocks for individual countries or local areas. By isolating strictly exogenous shifts in global food commodity prices, we show that this assumption could seriously distort estimations of the impact on conflict in African regions. Specifically, we show that increases in food prices that are caused by harvest shocks outside Africa raise conflict significantly, whereas a “naive” regression of conflict on international food prices uncovers an inverse relationship. We also find that higher food prices lead to more conflict in regions with more agricultural production. Again, we document that failing to account for exogenous price changes exhibits a considerable bias in the impact. In addition, we show that the conventional approach to evaluate such effects; that is, estimations that include time fixed effects, ignores an important positive baseline effect that is common for all regions. Supplementary materials for this article are available online.

Graph and download economic data for Global price of Agr. Raw Material Index (PRAWMINDEXM) from Jan 1990 to Jun 2025 about materials, World, indexes, and price.

Replication data for "Trade policy announcements can increase price volatility in global food commodity markets":

• Original dataset on trade policy announcements from 2005 to 2017 for wheat and maize (corn) (details in codebook)
• Daily price ranges based on the highest and lowest price recorded for wheat and corn futures (traded at the Chicago Board of Trade, CBOT)
• Stocks-to-use data for the United States, which is compiled by the United States Department for Agriculture (USDA) and available at monthly frequency from their World Supply and Demand Estimates report

For over 30 years Mintec has been the leading provider of raw material market prices and analysis covering more than 14,000 food ingredients and non-food raw materials.

Ensuring they are best placed to reduce costs, manage risk and increase their efficiency, helping to maximise margins.

The Categories of coverage are: Beverages, Dairy & Eggs, Fish & Seafood, Food Ingredients, Fruit & Juices, Grains & Feed, Herbs Spices & Plants, Meat & Poultry, Nuts Seeds & Dried Fruit, Oilseeds Oils & Fats, Vegetables & Pulses. Chemicals, Economics, Energy & Transport, Industrial Materials, Metals & Ores, Plastics & Textiles, Pulp Paper & Wood.

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This dataset contains Countries, Commodities and Markets data, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

International Monetary Fund Global Price of Food Index forecasts for the period from 07/2011 to 12/2024, obtained during the realization of the National Science Centre, Poland, grant number 2022/45/B/HS4/00510, Bayesian dynamic mixture models: An application to the study of time-varying determinants of commodity prices.

United States SCE: Commodity Price Change Expectation: 1 Year Ahead: Food data was reported at 5.081 % in Apr 2025. This records a decrease from the previous number of 5.233 % for Mar 2025. United States SCE: Commodity Price Change Expectation: 1 Year Ahead: Food data is updated monthly, averaging 5.027 % from Jun 2013 (Median) to Apr 2025, with 143 observations. The data reached an all-time high of 9.843 % in Mar 2022 and a record low of 3.766 % in Nov 2024. United States SCE: Commodity Price Change Expectation: 1 Year Ahead: Food data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H080: Survey of Consumer Expectations: Commodity Price.

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

Agricultural price shocks strongly affect farmers' income and food security. It is therefore important to understand and anticipate their origins and occurrence, particularly for the world's main agricultural commodities. In this study, we assess the impacts of yearly variations in regional maize productions and yields on global maize prices using several statistical and machine-learning (ML) methods. Our results show that, of all regions considered, Northern America is by far the most influential. More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. Our classification models show that a small decrease in the maize yield in Northern America can inflate the probability of maize price increase on the global scale. The maize productions in the other regions have a much lower influence on the global price. Among the tested methods, random forest and gradient boosting perform better than linear models. Our results highlight the interest of ML in analyzing global prices of major commodities and reveal the strong sensitivity of maize prices to small variations of maize production in Northern America.

United States CPI W: Commodities Less Food & Energy Commodities data was reported at 147.056 1982-1984=100 in Jun 2018. This records a decrease from the previous number of 147.509 1982-1984=100 for May 2018. United States CPI W: Commodities Less Food & Energy Commodities data is updated monthly, averaging 112.050 1982-1984=100 from Jan 1957 (Median) to Jun 2018, with 738 observations. The data reached an all-time high of 150.860 1982-1984=100 in May 2012 and a record low of 37.200 1982-1984=100 in Feb 1957. United States CPI W: Commodities Less Food & Energy Commodities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I012: Consumer Price Index: Urban Wage and Clerical Workers.

Wheat fell to 527.81 USd/Bu on July 30, 2025, down 0.37% from the previous day. Over the past month, Wheat's price has fallen 3.86%, but it is still 0.11% higher than a year ago, 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 July of 2025.

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: Shabelle Hoose, Juba Hoose, Bay, Banadir, Shabelle Dhexe, Gedo, Hiraan, Woqooyi Galbeed, Awdal, Bari, Juba Dhexe, Togdheer, Nugaal, Galgaduud, Bakool, Sanaag, Mudug, Sool, , Market Average