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⬡ Sample Data — Updated 2026-05-22
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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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. Useful for portfolio diversification analysis, hedging strategy development, and cross-commodity research.
JSON N/A 2.3 KB 10 commodities
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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). Ideal for inflation analysis, procurement budget forecasting, and cost escalation studies.
CSV 25 rows 1.2 KB 5 columns
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copper-concentrate-tcrc-benchmarks.csv
Quarterly copper concentrate treatment charge (TC) and refining charge (RC) benchmarks with corresponding LME copper prices over 8 quarters. Critical for understanding concentrate market tightness, smelter margins, and upstream copper supply dynamics.
CSV 10 rows 0.7 KB 4 columns
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README.txt
Complete documentation for all datasets: overview, file descriptions, license terms, citation formats (APA, MLA, Chicago, BibTeX), and contact information.
TXT 3.6 KB
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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 May 22, 2026. https://rzzro.com/data/
BibTeX
@misc{rzzro2026commodity,
author = {{Rzzro Intelligence}},
title = {Commodity Price Data},
year = {2026},
note = {Retrieved from 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.

License

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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FAQ

Where does this data come from?

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

How current is the data?

The sample datasets are updated regularly. This revision is dated 2026-05-22. For real-time commodity prices and intelligence briefings, visit our Prices and Intelligence 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 bloggers to use and reference our data.

What format are the files in?

CSV files (comma-separated values) 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.

Is historical data available going further back?

These are sample datasets. For extended historical coverage, customized data extracts, or API access, please contact Rzzro Intelligence through our website.

How should I cite this data?

Use the standard citation: Rzzro Intelligence (2026). Commodity Price Data. Retrieved from https://rzzro.com/data/. Multiple format examples are provided in the Citation section above.