USGS Mineral Commodity Summaries 2026
USGS Mineral Commodity Summaries 2026
USGS's 2026 release supplies CSV tables for more than 90 nonfuel minerals, including fertilizer inputs such as potash and phosphate rock, with U.S. production, trade, prices, stocks, consumption, import reliance and world production fields. The attached files and metadata download without a key.
Required Attribution:
Requested: "When using information from USGS information products, publications, or websites, we ask that proper credit be given." Suggested short form: "Credit: U.S. Geological Survey".
Coverage
This annual edition contains 2025 estimates and supporting multi-year source periods; its U.S. statistics and global production tables span more than 90 commodities. ScienceBase created the release in January 2026 and last revised it on May 27, 2026.
Verdict
This is a supply, trade-dependence and price-context signal for fertilizer minerals and other commodity inputs. The figures are annual estimates rather than a live flow feed, so they will lag fast market changes. Individual tables use different year windows and units, and some cells carry notes or withheld values. Preserve the source and notes columns when comparing editions.
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Use in your agent
Load USGS 2026 import-reliance data into pandas and Parquet. Checked against the provider's documentation on Nov 1, 2026.
Access
- No account or key. ScienceBase exposes individual CSV downloads and JSON catalogue metadata.
Request
curl 'https://www.sciencebase.gov/catalog/file/get/696a75d5d4be0228872d3bf8?f=__disk__90%2F85%2Fd4%2F9085d4823bf86edb0f54dd63eb8023c11d097c61'Format
CSV rows by commodity with 2025 net import reliance, major import sources for 2021-2024 and notes.
Load into pandas and Parquet
Needs Python 3 with requests, pandas and pyarrow.
"""USGS MCS 2026 net-import-reliance table -> pandas -> Parquet."""
import io
import requests
import pandas as pd
URL = "https://www.sciencebase.gov/catalog/file/get/696a75d5d4be0228872d3bf8?f=__disk__90%2F85%2Fd4%2F9085d4823bf86edb0f54dd63eb8023c11d097c61"
r = requests.get(URL, timeout=60)
r.raise_for_status()
df = pd.read_csv(io.BytesIO(r.content))
df.to_parquet("usgs_mcs2026_import_reliance.parquet", index=False)
potash = df.loc[df["Commodity"].eq("POTASH")].iloc[0]
print(len(df), "commodities; POTASH net import reliance",
f'{float(potash["Net_Import_Reliance_pct_2025"]):.0f}%; sources',
potash["Major_Import_Sources_2021_24"])Run by us on 2026-11-01 (python 3.13.5 | pandas 3.1.0 | pyarrow 26.0.0 | requests 2.34.2). Result: 68 commodities; POTASH net import reliance 92%; sources Canada, Russia, Israel
Limits
- Rate limit: Not stated.
- This is an annual release, not a live feed.
- The tested table has 68 commodity rows; the broader release covers more than 90 commodities across separate tables.
Quirks
- The release is split across entity tables; join only after checking each table's commodity names, units and year fields.
- Major import sources cover 2021-2024 while net import reliance is a 2025 estimate in the tested file.
- Keep notes because they qualify country groupings and commodity definitions.
Terms and attribution
- USGS-authored data and information are public-domain material; marked third-party content is excluded.
- USGS asks users to provide proper credit.
Sources
- https://www.usgs.gov/data/mineral-commodity-summaries-2026-data-release: “The database contains separate table files (entities) in CSV format.”
- https://www.sciencebase.gov/catalog/item/696a75d5d4be0228872d3bf8: “This database contains the United States salient statistics and world production statistics for over 90 nonfuel mineral commodities.”
- https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits: “USGS-authored or produced data and information are considered to be in the U.S. Public Domain”
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