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USGS Mineral Commodity Summaries

Case study · Infrastructure

A Data & Geopolitics Exploration

What
~50 commodities from the USGS Mineral Commodity Summaries, every figure page-cited.
Stack
Python PDF extraction with per-commodity regression tests; static sortable table.
Status
LIVE
Dates
Published May 2026 · Updated June 2026
Links
Live site · Source code

Background

As trade policy and geopolitics shift, what do the fundamentals actually say about U.S. mineral supply and import reliance?

This viewer makes the USGS Mineral Commodity Summaries readable across commodities instead of one PDF at a time: net import reliance for any material, which countries those imports come from, and what USGS itself flags under "Events, Trends & Issues" — every figure traceable to the page it was printed on. Gallium, germanium, the rare earths, cobalt, and antimony sit at the center of export controls, tariff fights, and reshoring debates, and this is the authoritative source on all of them.

A Look Inside

Each view shown on mobile and desktop — tap any image to open the live site.

A fast, sortable table of ~50 commodities (mobile) A fast, sortable table of ~50 commodities (desktop)
A fast, sortable table of ~50 commodities — production, imports, exports, and net import reliance at a glance.
The Source PDF tab shows the original USGS page images (mobile) The Source PDF tab shows the original USGS page images (desktop)
The Source PDF tab shows the original USGS page images, with the file's SHA-256 hash, so any number can be checked against the official report.

How It Works

Every value links back to the exact page of the official PDF it came from. The tool surfaces what USGS published and doesn't add anything on top. I vibe-coded the extraction pipeline and then pinned it down with per-commodity regression tests so the parsing stays honest:

[View the Live Viewer] | [View the Code]


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