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

Time series of major commodity prices and indices including iron, cooper, wheat, gold, oil. Data comes from the International Monetary Fund (IMF).All rights are reservedDataDataset 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).LicenseThe IMF grants permission to visit its Sites and to download and copy information, documents, and materials from the Sites for personal, noncommercial usage only, without any right to resell or redistribute or to compile or create derivative works, subject to these Terms and Conditions of Usage and also subject to more specific restrictions that may apply to particular information within the Sites. Any rights not expressly granted herein are reserved.For more information please visit: Copyright and Usage.

Real-time commodities pricing data allows you to grasp where the market is, was and will be – from exchange data and OTC prices to specialist fundamentals.

Graph and download economic data for Producer Price Index by Commodity: Processed Foods and Feeds: Fat Free or Skim Milk (WPU02310303) from Dec 1982 to May 2025 about milk, dairy, fat, processed, food, commodities, PPI, inflation, price index, indexes, price, and USA.

China Import: YoY: Year to Date: Duty-free Commodities on Payment of Foreign Currency data was reported at -48.800 % in Dec 2024. This records a decrease from the previous number of -43.600 % for Nov 2024. China Import: YoY: Year to Date: Duty-free Commodities on Payment of Foreign Currency data is updated monthly, averaging -7.750 % from Jan 2006 (Median) to Dec 2024, with 228 observations. The data reached an all-time high of 642.600 % in Jan 2010 and a record low of -247.200 % in Jan 2013. China Import: YoY: Year to Date: Duty-free Commodities on Payment of Foreign Currency data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JA: USD: Trade by Method of Trade and Nature of Enterprise: ytd.

GSCI rose to 551.39 Index Points on July 11, 2025, up 0.98% from the previous day. Over the past month, GSCI's price has risen 0.10%, but it is still 3.67% lower 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 July of 2025.

Search LSEG's Commodities Data, and find global pricing, exchanges, and fundamentals for energy, agriculture, and metals.

Cbonds collects and normalizes indices data, offering daily updated and historical data on over 40,000 indices, including macroeconomic indicators, yield curves and spreads, currency markets, stock and funds markets, and commodities. Using the Indices API, you can access an index's holdings, such as its assets, sectors, and weight, as well as basic data on the asset. You can obtain end-of-day, and historical API indicator prices in CSV, XLS, and JSON formats. Cbonds provides a free Indices API for a limited test period of two weeks or for a longer period with a limited number of instruments.

CRB Index rose to 373.34 Index Points on July 11, 2025, up 1.06% from the previous day. Over the past month, CRB Index's price has risen 0.59%, and is up 9.33% compared to the same time last year, 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 July of 2025.

In 2023, the total commodity sales in China (Shanghai) pilot free-trade zone amounted to 5.89 trillion yuan. This marked a decrease from the previous year.The China (Shanghai) pilot free-trade zone (SHFTZ) was established in 2013. The free-trade zone has been used as a testing ground for economic and social reforms, which are attractive for foreign investment.

LME Index fell to 4,166.90 Index Points on July 11, 2025, down 0.47% from the previous day. Over the past month, LME Index's price has risen 0.85%, but it is still 1.39% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. LME Index - values, historical data, forecasts and news - updated on July of 2025.

Stock and commodity exchanges can benefit from various sources of revenue, ranging from fees charged through the purchasing and selling of stocks and commodities to the listing of companies on exchanges with IPOs. Yet, this hasn't meant exchanges have been free of challenges, with many companies looking to more attractive overseas markets in countries like the US that embrace stronger growth. The most notable culprits have been ARM and CRH, refusing to put up with the increasingly cheaper valuations offered by UK stock exchanges. Stock and commodity exchange revenue is expected to boom at a compound annual rate of 11.5% over the five years through 2024-25 to £15.4 billion. Boosted by the London Stock Exchange Group's Refinitiv purchase in 2021-22, the growth numbers seem inflated. The industry saw ample consolidations, aided by MiFID II's initiation in 2018. However, M&As have now decreased because of high borrowing costs. New reporting demands have bumped up regulatory costs, resulting in thinner profits. Banks, aligning with Basel IV, are pulling back on investments. Post-COVID market turbulence fuelled trades, but it's slowing down with economic stabilisation. The inflation slowdown pushes investors towards higher-value securities, boosting trade value despite lower volumes. The weak pound has been beneficial for revenue, especially for the LSEG, bolstered by dollar-earning companies in the FTSE 100. Stock and commodity exchange industry revenue is expected to show a moderate increase of 1.3% in 2024-25. Revenue is forecast to climb at a compound annual rate of 4.1% over the five years through 2029-30 to £18.8 billion. The cautious descent of interest rates from the Bank of England will slow down volatility and ensure greater business confidence in the UK. This will bring back up consolidation activity to support revenue growth, reviving the digital information and exchange markets. The most pressing concern for the industry will be potential limitations on access to the EEA for the clearing segment of the industry, which could shatter short-term growth and keep the tap running for companies exiting UK exchanges.

International merchandise trade data grouped by free trade agreement and by commodity. Users have the option of selecting imports or exports, as well as specifying either total values or any of the section, division or group values of the North American Product Classification System (NAPCS). Users also have the option of selecting any of the country groups with whom Canada has a free trade agreement or is currently negotiating or discussing the possibility of such an agreement. Data are on a customs basis and not seasonally adjusted.

Brazil Exports Value: Free On Board: by Principal Commodity: Pharmaceutical Product data was reported at 100.846 USD mn in Jul 2020. This records an increase from the previous number of 76.920 USD mn for Jun 2020. Brazil Exports Value: Free On Board: by Principal Commodity: Pharmaceutical Product data is updated monthly, averaging 76.920 USD mn from Jan 1997 (Median) to Jul 2020, with 283 observations. The data reached an all-time high of 165.330 USD mn in Jul 2013 and a record low of 8.078 USD mn in Jan 1997. Brazil Exports Value: Free On Board: by Principal Commodity: Pharmaceutical Product data remains active status in CEIC and is reported by Special Secretariat for Foreign Trade and International Affairs. The data is categorized under Global Database’s Brazil – Table BR.JAB014: Exports: Principal Commodities: Value (Discontinued). Foreign Trade Secretariat started to adopt only international product classifications maintained by the UN. Both the Factor Aggregate and Product Group classification do not have a clear methodology, do not have national (IBGE) and international (UN) comparability and do not have revisions, preserving distortions in relation to the Harmonized System and changes in the Brazilian agenda. The related series had been reclassified to Economic Activity classification.

This data repository provides the Food and Agriculture Biomass Input Output (FABIO) database, a global set of multi-regional physical supply-use and input-output tables covering global agriculture and forestry.

The work is based on mostly freely available data from FAOSTAT, IEA, EIA, and UN Comtrade/BACI. FABIO currently covers 191 countries + RoW, 118 processes and 125 commodities (raw and processed agricultural and food products) for 1986-2013. All R codes and auxilliary data are available on GitHub. For more information please refer to https://fabio.fineprint.global.

The database consists of the following main components, in compressed .rds format:

Z: the inter-commodity input-output matrix, displaying the relationships of intermediate use of each commodity in the production of each commodity, in physical units (tons). The matrix has 24000 rows and columns (125 commodities x 192 regions), and is available in two versions, based on the method to allocate inputs to outputs in production processes: Z_mass (mass allocation) and Z_value (value allocation). Note that the row sums of the Z matrix (= total intermediate use by commodity) are identical in both versions.

Y: the final demand matrix, denoting the consumption of all 24000 commodities by destination country and final use category. There are six final use categories (yielding 192 x 6 = 1152 columns): 1) food use, 2) other use (non-food), 3) losses, 4) stock addition, 5) balancing, and 6) unspecified.

X: the total output vector of all 24000 commodities. Total output is equal to the sum of intermediate and final use by commodity.

L: the Leontief inverse, computed as (I – A)-1, where A is the matrix of input coefficients derived from Z and x. Again, there are two versions, depending on the underlying version of Z (L_mass and L_value).

E: environmental extensions for each of the 24000 commodities, including four resource categories: 1) primary biomass extraction (in tons), 2) land use (in hectares), 3) blue water use (in m3)., and 4) green water use (in m3).

mr_sup_mass/mr_sup_value: For each allocation method (mass/value), the supply table gives the physical supply quantity of each commodity by producing process, with processes in the rows (118 processes x 192 regions = 22656 rows) and commodities in columns (24000 columns).

mr_use: the use table capture the quantities of each commodity (rows) used as an input in each process (columns).

A description of the included countries and commodities (i.e. the rows and columns of the Z matrix) can be found in the auxiliary file io_codes.csv. Separate lists of the country sample (including ISO3 codes and continental grouping) and commodities (including moisture content) are given in the files regions.csv and items.csv, respectively. For information on the individual processes, see auxiliary file su_codes.csv. RDS files can be opened in R. Information on how to read these files can be obtained here: https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/readRDS

Except of X.rds, which contains a matrix, all variables are organized as lists, where each element contains a sparse matrix. Please note that values are always given in physical units, i.e. tonnes or head, as specified in items.csv. The suffixes value and mass only indicate the form of allocation chosen for the construction of the symmetric IO tables (for more details see Bruckner et al. 2019). Product, process and country classifications can be found in the file fabio_classifications.xlsx.

Footprint results are not contained in the database but can be calculated, e.g. by using this script: https://github.com/martinbruckner/fabio_comparison/blob/master/R/fabio_footprints.R

How to cite:

To cite FABIO work please refer to this paper:

Bruckner, M., Wood, R., Moran, D., Kuschnig, N., Wieland, H., Maus, V., Börner, J. 2019. FABIO – The Construction of the Food and Agriculture Input–Output Model. Environmental Science & Technology 53(19), 11302–11312. DOI: 10.1021/acs.est.9b03554

License:

This data repository is distributed under the CC BY-NC-SA 4.0 License. You are free to share and adapt the material for non-commercial purposes using proper citation. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. In case you are interested in a collaboration, I am happy to receive enquiries at martin.bruckner@wu.ac.at.

Known issues:

The underlying FAO data have been manipulated to the minimum extent necessary. Data filling and supply-use balancing, yet, required some adaptations. These are documented in the code and are also reflected in the balancing item in the final demand matrices. For a proper use of the database, I recommend to distribute the balancing item over all other uses proportionally and to do analyses with and without balancing to illustrate uncertainties.

Graph and download economic data for Producer Price Index by Commodity: Processed Foods and Feeds: Other Variety Breads (Rye, Unleavened, Raisin, Potato, Self-Rising, Salt-Free, Canned, etc.) (WPU0211020114) from Dec 2011 to May 2025 about rye, breads, potatoes, processed, food, commodities, PPI, inflation, price index, indexes, price, and USA.

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China Import: Year to Date: Duty-free Commodities on Payment of Foreign Currency data was reported at 12.155 RMB mn in Dec 2024. This stayed constant from the previous number of 12.155 RMB mn for Nov 2024. China Import: Year to Date: Duty-free Commodities on Payment of Foreign Currency data is updated monthly, averaging 48.415 RMB mn from Jan 2014 (Median) to Dec 2024, with 132 observations. The data reached an all-time high of 331.782 RMB mn in Dec 2020 and a record low of 0.528 RMB mn in Jan 2023. China Import: Year to Date: Duty-free Commodities on Payment of Foreign Currency data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JA: RMB: Trade by Method of Trade and Nature of Enterprise: ytd.

Korea PPI: Commodities: Air Conditioners, Free Standing data was reported at 94.900 2005=100 in Nov 2012. This stayed constant from the previous number of 94.900 2005=100 for Oct 2012. Korea PPI: Commodities: Air Conditioners, Free Standing data is updated monthly, averaging 95.350 2005=100 from Jan 1970 (Median) to Nov 2012, with 515 observations. The data reached an all-time high of 135.700 2005=100 in Nov 2001 and a record low of 58.691 2005=100 in Jan 1974. Korea PPI: Commodities: Air Conditioners, Free Standing data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s Korea – Table KR.I037: Producer Price Index: Commodities: 2005=100.

United States - Producer Price Index by Commodity: Processed Foods and Feeds: Fat Free or Skim Milk was 325.54800 Index Dec 1982=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Processed Foods and Feeds: Fat Free or Skim Milk reached a record high of 346.81300 in November of 2024 and a record low of 99.70000 in November of 1983. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Processed Foods and Feeds: Fat Free or Skim Milk - last updated from the United States Federal Reserve on July of 2025.