Commodity Price Data

Downloadable Datasets

lme-base-metals.csv

Monthly average LME settlement prices for 6 base metals (Copper, Aluminum, Zinc, Nickel, Lead, Tin) over 12 months. Prices in USD per metric tonne. Essential for commodity price trending, procurement benchmarking, and supply-cost modeling.

CSV 73 rows 1.1 KB 7 columns

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Use case: Price trending, cost modeling, procurement benchmarking · Direct link

commodity-price-correlations.json

Pearson correlation matrix of 10 major commodities (Copper, Aluminum, Zinc, Nickel, Gold, Silver, WTI Crude, Natural Gas, Wheat, Corn) with methodology notes and analytical observations.

JSON 10 commodities 2.3 KB

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Use case: Portfolio analysis, hedging strategy, cross-commodity research · Direct link

procurement-cost-index.csv

Monthly PPI-style procurement cost index spanning 24 months with sub-indices for Base Metals, Energy, Agriculture, and an Overall composite index (Base: Jan 2024 = 100).

CSV 25 rows 1.2 KB

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Use case: Inflation analysis, budget forecasting, cost escalation · Direct link

copper-concentrate-tcrc-benchmarks.csv

Quarterly copper concentrate treatment charge (TC) and refining charge (RC) benchmarks with corresponding LME copper prices over 8 quarters.

CSV 10 rows 0.7 KB

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Use case: Concentrate market analysis, smelter economics · Direct link

README.txt

Complete documentation: file descriptions, license terms, citation formats (APA, MLA, Chicago, BibTeX), and contact information.

TXT 3.6 KB

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Documentation and citation guide · Direct link

Citation

Recommended Citation Format

Rzzro Intelligence (2026). Commodity Price Data. Retrieved from https://rzzro.com/data/

APA (7th ed.)

Rzzro Intelligence. (2026). Commodity Price Data [Data set]. https://rzzro.com/data/

MLA (9th ed.)

Rzzro Intelligence. "Commodity Price Data." Rzzro, 2026, https://rzzro.com/data/

Chicago (17th ed.)

Rzzro Intelligence. "Commodity Price Data." Accessed June 18, 2026. https://rzzro.com/data/

If you use this data in your research, reports, or articles, please cite Rzzro as the source. Proper attribution helps us continue providing high-quality, freely available datasets for the procurement and commodity analytics community.

Creative Commons Attribution 4.0 International (CC BY 4.0)

You are free to share (copy and redistribute) and adapt (remix, transform, and build upon) this data for any purpose, even commercially, provided you give appropriate credit.

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Frequently Asked Questions

Where does this data come from?

Compiled by Rzzro Intelligence from publicly available sources including the London Metal Exchange (LME), COMEX, CME, major commodity exchanges, and official statistical agencies. All data is processed and standardized by our intelligence pipeline.

How current is the data?

Live prices update daily from exchange data. For real-time commodity prices and intelligence briefings, visit our Intelligence and Market News pages.

Can I use this data in my research or article?

Yes. All datasets are licensed under CC BY 4.0. You may use, modify, and publish the data freely, provided you cite Rzzro as the source (see Citation section above). We actively encourage academics, journalists, and analysts to use and reference our data.

What format are the files in?

CSV files include a header row and can be opened in any spreadsheet application or statistical software. JSON files are structured for programmatic use in Python, R, JavaScript, and other languages.