Monthly world prices of five commodities, January 1992 = 100, log scale (World Bank, Pink Sheet): in August 2026, copper 670, WTI crude 440, aluminum 276, US natural gas 216, US HRW wheat 194 (Eco3min)
Skip to the catalogue

Download clean global commodity price datasets (CSV & Excel): energy, industrial and precious-metal inputs, agricultural softs and grains. Each page provides key statistics, Python/R code examples, historical context and a file to download. Learn how to read macro-financial indicators.

Commodity prices sit upstream of every inflation print and industrial cycle, yet the long monthly history is spread across agency workbooks and databases. Eco3min gathers it in one hub, with files that keep each source’s terms.

Beyond the raw series, six original cross-commodity studies read the basket as a whole: real-price divergence (what we grow vs what we burn), food-price dynamics, the inflation signal, equity diversification and the gold-copper ratio. Each comes with a reproducible method and, where its sources’ terms allow, a downloadable dataset. Jump to the research ↓

Datasets
41
Studies
7
Coverage
1960–2026
Format
CSV · XLSX
Updates
Daily–Monthly
Source
World Bank · EIA · FRED

Cross-Commodity Research

Original studies built on the whole commodity basket, not a single series: real-price divergence, food-price dynamics, the inflation signal and equity diversification. Each comes with a reproducible methodology and, where its sources’ terms allow, a downloadable dataset (CSV & XLSX) with their attribution.

6 studies

Energy

Crude oil, US and European natural gas, coal, LNG and uranium: the energy complex upstream of every inflation cycle, including the 2022 shock. the uranium supply-demand imbalance offers a detailed reading of it.

8 datasets

Industrial Metals

Iron ore, copper and the base-metal complex: cyclical gauges of global industrial demand.

7 datasets

Precious Metals

Gold and silver: the monetary metals, stores of value and inflation hedges across regimes.

3 datasets

Agricultural Softs

Cocoa, coffee, sugar and fibres: the soft commodities, including the record 2024-2025 cocoa and coffee moves.

7 datasets

Grains & Oilseeds

Wheat, corn, soybeans, palm oil and rice: the global food-inflation staples.

5 datasets

  • Wheat Price1992–2026 · monthly · World Bank (Pink Sheet)
  • Corn Price1992–2026 · monthly · World Bank (Pink Sheet)
  • Soybeans Price1992–2026 · monthly · World Bank (Pink Sheet)
  • Palm Oil Price1992–2026 · monthly · World Bank (Pink Sheet)
  • Rice Price2010–2026 · monthly · World Bank (Pink Sheet)

Refined Fuels & Retail Energy

Gasoline, diesel and jet fuel at the pump and the wholesale terminal: the refined products downstream of crude, where taxes, refining margin and distribution drive prices that the barrel benchmark alone does not explain.

8 datasets · 1 study

Electricity Prices

US average retail electricity rates by customer class. Unlike fuels, roughly half of the retail rate is regulated grid cost, which is why household power prices climb steadily through gas-price crashes.

3 datasets

All datasets, A to Z41
Sources, access and licences

Most series reproduce a column of the World Bank Commodity Price Data (The Pink Sheet), licensed CC BY 4.0. They are monthly averages from 1992, with iron ore from 2006 and rice from 2010. Gold and silver come from the same workbook, monthly since 1960. Crude oil and US natural gas come from the U.S. EIA via FRED, refined fuels and electricity from the EIA directly, daily to monthly, some with histories back to the 1980s. Each series keeps its source’s terms, detailed under Data Source & Access at the bottom of the page.

Most single series reproduce a column of the World Bank Commodity Price Data (The Pink Sheet). They cover metals, agricultural goods, coal, LNG, European gas, gold and silver, as monthly averages in the workbook’s units. Crude oil and US natural gas come from the U.S. EIA via the FRED API, refined fuels and electricity from the EIA directly. The cross-commodity studies also draw on the FAO Food Price Index. No API key is needed to download the files.

File pattern: eco3min.fr/dataset/{dataset_id}.csv

Rights: each series keeps its source’s terms. World Bank Pink Sheet series: CC BY 4.0, with attribution to the World Bank. U.S. EIA series: public domain. FAO: CC BY 4.0. Uranium: series described, not reproduced; no download. Eco3min grants no licence of its own on third-party data.

Cite This Data

https://eco3min.fr/en/commodity-prices/

Reuse under each source’s terms, listed above.

↑

Last updated — 13 October 2026

Disclaimer – Financial and Legal Information: The analyses, commentary, and content published on eco3min.fr are provided for informational and educational purposes only. They do not constitute investment advice or a solicitation to buy or sell financial instruments. Past performance is not indicative of future results. All investment decisions involve risk and are the sole responsibility of the reader. Data, charts and calculated series are provided as is and may contain errors or lag behind their source: check any figure against the primary source cited before relying on it. Content describing laws, regulations or contracts reflects the law as of its publication date and does not constitute legal or tax advice; applying it to a specific situation requires a qualified legal or tax professional.

Data on this page: the series are collected automatically from the sources cited, then formatted or calculated by Eco3min (units, frequency, derived calculations). They may differ from the official release because of producer revisions, update lags, rounding or processing errors. They are provided as is, with no warranty of accuracy, completeness or timeliness. Before any professional, contractual or regulatory use, and before any financial decision, check the values against the primary source. To the extent permitted by law, the publisher accepts no liability for the consequences of using these data without that check.