Graph and download economic data for Global Price Index of All Commodities (PALLFNFINDEXQ) from Q1 2003 to Q2 2025 about World, commodities, price index, indexes, and price.

The World Bank’s Commodity Price historical data and forecasts are published quarterly, in January, April, July and October. The price forecasts go up to 2030. Topics: Agriculture & Rural Development

GSCI fell to 556.57 Index Points on December 2, 2025, down 0.34% from the previous day. Over the past month, GSCI's price has fallen 0.80%, but it is still 3.06% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on December of 2025.

CRB Index rose to 378.33 Index Points on December 1, 2025, up 0.45% from the previous day. Over the past month, CRB Index's price has fallen 0.80%, but it is still 10.95% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on December of 2025.

View monthly updates and historical trends for All Commodities Price Index. Source: International Monetary Fund. Track economic data with YCharts analytic…

Commodity Prices YoY in Australia decreased to -1.70 percent in November from -1.30 percent in October of 2025. This dataset includes a chart with historical data for Australia Commodity Prices YoY.

This statistic depicts global commodity price indexes for energy, metal, and agriculture from January 2018 to November 2019. In November 2019, the commodity index for energy stood at 87.7, compared to 86.1 for metals, and 98.4 for agriculture.

Nominal prices in USD for selected key international commodity prices relevant to Pacific Island Countries and Territories, extracted from World bank Commodity Prices (« pink sheets ») and from FAO GLOBEFISH European Fish Price Report.

Find more Pacific data on PDH.stat.

Daily market prices of agricultural commodities across India from 2001-2025. Contains 75+ million records covering 374 unique commodities and 1,504 varieties from various mandis (wholesale markets). Commodity Like: Vegetables, Fruits, Grains, Spices, etc.

Cleaned, deduplicated, and sorted by date and commodity for analysis.

Column Schema

Data sourced from the Government of India's Open Data Platform.

License: Government Open Data License - India (GODL-India) https://www.data.gov.in/Godl

The balanced annual panel data for 32 sub-Saharan countries from 2000 to 2020 was used for this study. The countries and period of study was informed by availability of data of interest. Specifically, 11 agricultural commodity dependent countries, 7 energy commodity dependent countries and 14 mineral and metal ore dependent countries were selected (Appendix 1). The annual data comprised of agricultural commodity prices, global oil prices (GOP) and mineral and metal ore prices, export value of the dependent commodity, total export value of the country, real GDP (RGDP) and terms of trade (TOT). The data for export value of the dependent commodity, total export value of the country, real GDP and terms of trade was sourced from world bank database (World Development Indicators). Data for agricultural commodity prices, global oil prices (GOP) and mineral and metal ore prices are obtained from World Bank commodity price data portal. This study used data from global commodity prices from the World Bank's commodity price data site since the error term (endogenous) is connected with each country's commodity export price index. The pricing information covered agricultural products, world oil, minerals, and metal ores. One benefit of adopting international commodity prices, according to Deaton and Miller (1995), is that they are frequently unaffected by national activities. The utilization of studies on global commodity prices is an example (Tahar et al., 2021). The commodity dependency index of country i at time i was computed as the as the ratio of export value of the dependent commodity to the total export value of the country. The commodity price volatility is estimated using standard deviation from monthly commodity price index to incorporate monthly price variation (Aghion et al., 2009). This approach addresses challenges of within the year volatility inherent in the annual data. In footstep of Arezki et al. (2014) and Mondal & Khanam (2018), standard deviation is used in this study as a proxy of commodity price volatility. The standard deviation is used because of its simplicity and it is not conditioned on the unit of measurement.

Commodity prices are updated in the second business day of the month. Commodity price forecasts are updated twice a year (April and October). The Manufacture Unit Value Index (MUV), also updated twice a year, can be found in the in the worksheet “Annual Price” excel file, “Annual Indices (Real)” worksheet.

This dataset includes data previously published as the "Global Economic Monitor (GEM) Commodities" and "Manufactures Unit Value Index (MUV Index)".

This dataset provides comprehensive historical price data for a variety of essential commodities over several decades. It is an invaluable resource for analysts, researchers, and enthusiasts interested in the historical trends and patterns of commodity prices. The data spans various timeframes, with each file containing yearly price data for a specific commodity.

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

Historical commodity (daily) price from 2000-2022 (March). 1. Gold 2. Palladium 3. Nickel 4. Brent Oil 5. Natural Gas 6. Wheat

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Weekly Commodity Prices are made up of four excel spreadsheets and graphs split into commodity groups. Source agency: Environment, Food and Rural Affairs Designation: National Statistics Language: English Alternative title: Commodity Price Movements If you require datasets in a more accessible format, please contact prices@defra.gsi.gov.uk.

Global wheat prices increased by over ** percent over the period from February 24 to June 1, 2022, compared to the average in January 2022. The growth was explained by the Russia-Ukraine war, as Russia and Ukraine were among the leading wheat exporters. Furthermore, coal prices grew by around ** percent. A significant increase was also recorded in the prices of metals exported by Russia, such as nickel, palladium, and aluminum.

Time series of major commodity prices and indices including iron, cooper, wheat, gold, oil. Data comes from the International Monetary Fund (IMF).

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Data

Dataset contains Monthly prices for 53 commodities and 10 indexes, starting from 1980 to 2016, Last updated on march 17, 2016. The reference year for indexes are 2005 (meaning the value of indexes are 100 and all other values are relative to that year).

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Long term price performance of all major primary commodities. This includes the 3 months, 6 months, 1 year, 3 year, as well as the 5 year change in %.

Commodity Price: High: Almond: Kaghzi data was reported at 42,000.000 PKR/100 kg in 01 Dec 2025. This stayed constant from the previous number of 42,000.000 PKR/100 kg for 27 Nov 2025. Commodity Price: High: Almond: Kaghzi data is updated daily, averaging 42,000.000 PKR/100 kg from Jul 2022 (Median) to 01 Dec 2025, with 623 observations. The data reached an all-time high of 42,000.000 PKR/100 kg in 01 Dec 2025 and a record low of 42,000.000 PKR/100 kg in 01 Dec 2025. Commodity Price: High: Almond: Kaghzi data remains active status in CEIC and is reported by Business Recorder. The data is categorized under Global Database’s Pakistan – Table PK.P: Commodity Price.

Tradefeeds Commodity Prices API enables you to get commodity prices data of the major commodity asset types like energy commodities, metals, industrial commodities, agricultural commodities and livestock commodities. Each commodity asset type has a different historical coverage. A commodity within its commodity asset type has not the same historical coverage as another commodity from the group. For example, within the group of energy commodities, crude oil has a historical coverage of 34 years while coal of only 13 years. Tradefeeds offers commodity prices data either via JSON REST API, or via downloadable databases in CSV or Excel format.

If you are interested to learn more, check out the company website: https://tradefeeds.com/commodities-prices-api/