USGS Mineral Commodity Summaries 2025 - Silver

It is the United States' official one-sitting read on silver supply, delivered here as typed rows instead of a typeset spread. USGS Mineral Commodity Summaries 2025 - Silver compresses the federal picture onto two pages: a Salient Statistics - United States table running 2020 through 2024e across mine production, primary and secondary refinery output, imports and exports for consumption, apparent consumption, the average bullion price in dollars per troy ounce, year-end industry, Treasury and COMEX stocks, net import reliance, and mine-and-mill employment; a World Mine Production and Reserves table pairing 2023 and estimated 2024 production with reserves for 14 named producing countries plus Other countries and a world total; and tight narratives on where American silver actually comes from.

That domestic story has more texture than people expect. US output of roughly 1,100 tons in 2024 - valued around $960 million - came from just four mines where silver led, but byproduct recovery at another 31 base- and precious-metal operations spread across 12 states, with Alaska and Idaho out front. The chapter also states plainly how dependent the country is: net import reliance sat at 64 percent of apparent consumption.

Within Datadory's catalog this is the fundamentals anchor for silver. Price feeds such as Stooq XAGUSD or Yahoo Finance SI=F tell you what an ounce cost on any given day; this chapter says who mined it, how much is left in the ground, what crossed the border, and which end uses took it.

Exactly as they land after cleaning - one row per country in the production-and-reserves table, selected salient-statistics metrics, and the five-year price strip:

# World Mine Production and Reserves - metric tons of silver content
country=Mexico         prod_2023=6,290   prod_2024e=6,300   reserves=37,000
country=China          prod_2023=3,400   prod_2024e=3,300   reserves=70,000
country=Peru           prod_2023=3,200   prod_2024e=3,100   reserves=140,000
country=United States  prod_2023=1,020   prod_2024e=1,100   reserves=23,000

# Salient Statistics - United States (selected)
metric=Mine production            value=1,100     unit=metric tons     year=2024e
metric=Avg bullion price          value=27.70     unit=USD per oz      year=2024e
metric=Net import reliance        value=64        unit=% of app. consumption

# Average US bullion price by year - dollars per troy ounce
y2020=20.58  y2021=25.23  y2022=21.88  y2023=23.54  y2024e=27.70

Read what those rows already say. The three biggest producers barely moved between 2023 and the 2024 estimate - Mexico up 10 tonnes, China down 100, Peru down 100 - while the United States jumped from 1,020 to an estimated 1,100. Reserve cover is arithmetic away: Peru's stated base runs about 45 years at its own extraction pace, Mexico's under six, and the gap says everything about how differently the two countries have surveyed and disclosed what they hold. And the price strip shows why 2024 got everyone's attention: after oscillating between $20.58 and $25.23 across 2020-2023, the average broke to $27.70.

Ten verified fields spanning the chapter's tabular core, definitions written against the printed table headers rather than inferred. The salient-statistics table alone covers nine metric families; the world table adds three columns per country; the narrative sections contribute import-source shares, tariff lines with HTS numbers, recycling statements and substitutes commentary.

The dictionary below is the verified core. Anything deeper confirmed during sample preparation - the full five-year grid beyond the endpoints shown, footnote and revision language, depletion-allowance and government-stockpile text, the events-trends-and-issues discussion - folds under additional fields on request rather than being promised blind.

Geography: the United States in depth - production, refining, trade, apparent consumption, employment - plus 14 named producing countries and a world total on the supply side, and supplying-country shares on the import side. The named set spans Latin America (Mexico, Peru, Bolivia, Chile, Argentina), the Asia-Pacific (China, India, Australia), Eurasia (Russia, Kazakhstan, Poland, Sweden), Canada and the US itself. State-level color lives inside the narrative: Alaska and Idaho lead a 12-state byproduct footprint.

Temporal: five years of salient statistics per edition (2020 through 2024 estimated currently), two production years plus reserves in the country table, and import-source shares averaged over 2020-2023. A fresh edition lands every January, so the series rebuilds mechanically into multi-year spans without schema drift.

Granularity: annual and national throughout - one value per metric per year, one row per country per table, in metric tons of silver content unless otherwise specified. There is no mine-level or monthly layer here by design; that depth lives in other federal series, and this one stays honestly shallow and completely consistent.

API, files, or your warehouse. Daily, weekly, or hourly.

Pick the channel your stack already speaks. The rows arrive identical either way - cleaned, typed, and documented against the field dictionary above, with estimate flags preserved so provisional cells stay distinguishable from settled ones.

Every delivery ships with the full field dictionary and sample rows for validation. Because the underlying tables hold steady between January editions, your schema does not churn underneath you.

• Investors and quant researchers turn reserves into cover ratios - roughly 45 years of stated runway in Peru against under six in Mexico at their respective 2024e extraction rates - and use the production table to sanity-check any producer-country exposure story before it reaches a deck.
• Market researchers and consultants adopt the federal end-use split and import-source shares as ready-made demand weights, citing government numbers instead of assembling shares from several commercial reports.
• Competitive-intel and product teams in mining, refining and industrial fabrication track country-level output swings on a single consistent annual grain, and anchor the US side with the four-mine-plus-byproduct structure when sizing jurisdiction risk.
• Procurement and supply-chain analysts read the 64-percent net import reliance alongside import-source shares to plan feedstock for refineries, fabricators and electronics manufacturers exposed to the metal.
• Journalists and academics cite a federal statistical series - employment counts, stockpile positions, reserve estimates - with a traceable government chain behind every cell rather than an aggregator's silent restatement.

Deeper persona guidance lives on the investors & quants, market researchers and journalists & academics pages for silver.

The silver slice splits cleanly along a price-versus-fundamentals line. Stooq XAGUSD and Yahoo Finance SI=F carry daily futures and spot history; Trading Economics wraps the live quote; metals.dev serves spot rates across currencies; SLV holdings track ETF vault tonnage; and the Silver Institute's supply-and-demand statistics run the industry's own deficit ledger. None of those say a word about who dug the metal up or how much remains.

This dataset is the supply side: tonnage mined, metal refined, scrap recovered, reserves remaining, who imports what from whom, and how many people it employs. Against the companion USGS Silver Statistics and Information series, this chapter is the distilled annual snapshot while the wider federal series carries monthly and historical depth - the practical stack pairs them, annual fundamentals here giving the daily price series a reason for being where it is. There is also a head-to-head page covering exactly that pairing: MCS 2025 Silver vs USGS Silver Statistics and Information.

Three things, stated upfront.

First, respect the grain. This is an annual, national-level series - the right tool for structural analysis and citation, the wrong tool for anything needing monthly resolution or mine-level attribution. If you need that depth, say so in the sample request and we will point the sample at the heavier federal series that carries it.

Second, treat 'e' cells as soft. Every current-year figure revises in the following January edition, and world totals arrive rounded, so components need not sum. Build pipelines that re-pull rather than cache if your series touches the latest year.

Third, the verified dictionary covers the ten fields above; the narrative material - substitutes, world resources, stockpile detail, revision footnotes - gets confirmed against the chapter when we cut your sample, which is also where column naming locks down for your pipeline. One parsing trap we have already solved for you: Australia's printed reserves cell carries a small footnote value that differs from its JOGC-compliant figure elsewhere in the table, so naive parsers mis-read that one cell; ours does not.

Estimate discipline note - figures marked 'e' are estimates and revise in the next January edition; Datadory preserves the flags so downstream models can discount provisional cells automatically.

Rounding note - the world total row is published rounded, and component countries may not sum exactly to it; reconcile at the total, never the parts.

Provenance note - the chapter comes from the USGS National Minerals Information Center and credits named underlying sources for its price quotations, employment counts and Treasury stock figures, giving each statistic a traceable chain.

Where to go next:

• Stooq - XAGUSD Silver Price Data - daily price history that turns these annual averages into a continuous series.
• iShares Silver Trust (SLV) Daily Holdings - ETF vault tonnage, the demand bucket the federal tables exclude.
• Silver Institute - Supply & Demand Statistics - the industry-side ledger beside the government's accounting.
• USGS Silver Statistics and Information - wider federal silver depth beyond this annual snapshot.
• Best silver datasets - the ranked shortlist across the whole vertical.
• Silver data hub - the pooled industry view.