lithium
Critical · 4 lists

Lithium · Li

battery_metal · primary

Battery metal at the centre of the EV transition. Production has tripled since 2018 - Australian spodumene + South American brine dominate. US output is climbing (Silver Peak NV; Thacker Pass under construction) but remains <2% of global supply.

DOE_2023
USGS_2022
USGS_2025
EU_CRMA_2024

Lithium sits on 4 federal critical-minerals lists; mine supply is moderately concentrated (HHI 0.20, 2025), led by 🇦🇺 Australia at 32% of output. US net import reliance: >50 (2025). Prices fell 24% over the past year (-6%/yr over 4y). 4 active export controls touch its trade.

Headline indicators

9,000dollars per metric ton

USGS MCS (Price, annual average-real, ba)

-24% 1Y

-6%/yr · 4Y CAGR

>50

0.20

Moderate · 2025

lifecycle flow

  1. 01Reserves

    37.0Mt

    Chile leads · 25% share

  2. 02Production

    277.1Kt

    Australia top · 2024

  3. 03Trade

    1.8Kt

    net importer · 2025

  4. 04Stocks

    -

  5. 05Consumption

    -

2 PROMMIS flowsheets

  • PROMMIS · diafiltration

    Open workbench →

    Recover Li selectively from a Li/Co mixture via a single two-salt membrane module. Models permeate-side Li transport + retentate Co retention - the canonical operation in spent-EV-battery recycling.

    commodity: lithium · suggested axis: feed_flow_volume · y: li_co_selectivity

  • PROMMIS · membrane_cascade

    Open workbench →

    Multi-stage Li/Co diafiltration cascade with precipitators, sized by a total-annualized-cost minimization subject to a Li recovery floor. Use when the question is about cascade economics, not a single module's split.

    commodity: lithium · suggested axis: lithium_recovery_target · y: total_annualized_cost

Data coverage notes

  • no dataNo commodity-decomposed recycling data - No USGS MCS Fig13 scrap rows. EU WEEE / battery EOL flows (Phase 6.1.1) are country-keyed only - see country profiles.
  • datedMaterial-flow analysis is historical - All 4 material-flow records date to 2000 or earlier (Yale STAF era). They describe the anthropogenic cycle of that period, not today's system.
  • datedEnvironmental footprint is dated - Cradle-to-gate intensity rows carry a 2008 inventory vintage (Nuss & Eckelman-era LCA). Current-process footprints are not yet in scope.
  • datedExport-restriction inventory ends 2020 - The OECD industrial-raw-materials inventory (vendored snapshot) reports HS-line measures only through 2020; restrictions enacted since are not reflected in the measure table.
  • narrowConsumption geography is single-economy (United States) - Reported consumption covers one economy only - the world usage split must be read from trade flows, not from a consumption table.

The method, on lithium's own data

How strata observes lithium's supply chain and estimates its demand honestly - the full method, every figure below read live from this dossier. Expand the walkthrough

The whole lithium life cycle

Strata maps every commodity onto one eight-stage scaffold, ore to end use, so any two are directly comparable. But a real commodity forks - some routes skip stages - so we read this scaffold three ways: what the stages are, how this commodity actually travels them, and how much of each we cover.

One scaffold, every commodity - so any two line up

Strata maps every commodity onto the same eight stages, ore to end use. That is what makes copper, nickel and lithium directly comparable - but a real commodity rarely walks all eight in a straight line. It forks, and some routes skip stages. The primer decodes the scaffold; the journey and routes below show how this one actually travels it.

The eight-stage lifecycle scaffold1Mineore out of the ground2Concentrateupgrade the ore3Smeltermelt to crude metal4Refinerypurify to metal5Chemicalmake process salts6Componentsbuild into parts8Final usethings people buyPRIMARY SUPPLYFINAL DEMAND7 Recycling - loop scrap back, not new metal
a supply stage - band height is how many plants strata maps therefinal demand - a projection, not a plant countrecycling - secondary supply that re-enters the loop, not new metal

The metal flows left to right. At each stage something is added (from above) and something leaves (below). The three tracks show which stages each route uses - and which it skips.

The making of LithiumMINEOre / brine1-2% Li2Owater / sunCONCENTRATEConcentrate~6% Li2Otailingsacid + soda ashCHEMICALCarbonate / hydroxide99.5%sodium sulfatecobalt / manganeseCOMPONENTSCathodeLFP / NMCFINAL USEIn usebatteriesHard rock (spodumene) -> concentrate -> convert · ~55-60% of world lithium · uses every stepBrine -> solar evaporation -> convert · ~40-45% of world lithium · uses every step

Hover a stage to read what happens there - click to pin it open. Teal = added at that step, gold = leaves at that step; the coloured tracks are the three routes.

Recycling loops old scrap back into the chain - it re-enters downstream, it is not a new-metal stage. Grades are indicative; sources are linked below.

Lithium is never smelted or refined like a metal - it is a chemical from the start. Two roads feed one chemical plant: hard rock (spodumene, now the majority ~55-60% of supply) is concentrated then acid-roasted, while brine is simply evaporated in the sun. Both skip the smelter and refinery entirely and converge on battery-grade lithium carbonate or hydroxide.

  1. Minestage 1

    Lithium comes from one of two very different places: hard pegmatite rock mined in an open pit, or salty groundwater ('brine') pumped up from beneath a desert salt flat.

    inspodumene orebody, or lithium brine aquiferoutrun-of-mine spodumene ~1-2% Li2O · brine ~1,500-1,800 mg/L Li
  2. Concentratestage 2

    Hard-rock ore is crushed and floated into a sandy concentrate ~6% lithium oxide. Brine is instead pumped through a chain of ponds and left to evaporate in the sun for 12-18 months until the lithium is concentrated ~30-fold.

    inspodumene ore, or raw brineoutspodumene concentrate SC6, ~6% Li2O (~2.9% Li) · concentrated brine ~6% Li
  3. Chemical (conversion plant)stage 5

    This is where lithium actually becomes a battery material: hard-rock concentrate is roasted white-hot to unlock the lithium, dissolved in sulfuric acid, purified and crystallized; brine is purified and precipitated. Both yield the same white powders.

    inspodumene concentrate (roast ~1,050 C + acid), or purified brineoutbattery-grade lithium carbonate (Li2CO3 >=99.5%) or lithium hydroxide (LiOH.H2O)
  4. Components (cathode)stage 6

    Battery makers bake the lithium powder with other metals into cathode powder. Cheaper iron-based LFP cathodes use lithium carbonate; high-performance nickel-rich cathodes use lithium hydroxide, which bakes cooler without damaging the nickel.

    inlithium carbonate (LFP) or lithium hydroxide (high-Ni NMC/NCA)outcathode active material -> finished Li-ion cells
  5. Recyclingstage 7

    Spent batteries and factory offcuts are shredded into 'black mass' and leached to recover the lithium - but today only a small fraction is recycled, so almost all lithium is still freshly mined. Dashed because it loops back, it is not new supply.

    inend-of-life batteries + manufacturing scrapoutrecovered lithium (loops back to the chemical stage); <5% of batteries today
  6. Final usestage 8

    Almost all finished lithium goes into rechargeable batteries for electric cars, grid storage and electronics; a small slice goes into heat-resistant glass, ceramics and high-temperature greases.

    inlithium carbonate & hydroxideoutbatteries 87% · ceramics & glass 5% · greases 2% · other 6% (2024)

grades & routes sourced from: USGS Mineral Commodity Summaries 2025 - Lithium · Krebs (Primero) - Refining of Spodumene Concentrates, Critical Minerals 2024 · IEA - Global EV Outlook 2025 (batteries; LFP vs NMC) · SGS Minerals - Hard Rock Lithium Processing

Lithium value chain - stages sized by mapped facilities
Mine110 fac.41 kt disclosedworld production at this stage (contained metal) - capacity cannot be below what was produced; click for the stage panels and their sourcesstage ≥236 ktConcentrate82 fac.15 kt disclosedSmelter6 fac.23 kt disclosedRefinery68 fac.178 kt disclosedChemical294 fac.441 kt disclosedComponents590 fac.271 kt disclosedRecycling77 fac.80 kt disclosedFinal Technology3 tech1.2 Mt demand

Band height is facilities strata maps; a stage figure links to its source. Full value chain (companies + control) →

commodityExtractionRefiningFabricationUseRecycling
lithiumcoveredcoveredgapcoveredpartial

hover a chip for the stage headline · a "gap" chip is the product stating where its own coverage ends - not a blank we hide

Observed vs estimated - never blurred

Two kinds of numbers exist in strata, and they are visually and structurally distinct everywhere they appear.

Observed

Reported by an authoritative source - USGS, BGS, ICSG, a company filing, a national agency. The row carries its citation; click it and you land on the publication.

Estimated

Computed as observed activity × a verified material intensity. Always marked imputed, always shows BOTH ingredient sources, and expands to the full calculation on click.

The rule that holds the product together: a reader can always tell which of the two they are looking at - and when the data cannot support a number, we show nothing rather than a wrong number. Every observed row links to its publication; the full catalogue, ranked by authority, lives at /sources.

One tonne is not three tonnes

Sources publish production per chain stage. The same metal appears at every stage, so summing stages manufactures phantom supply. Strata keeps each stage as its own panel and never sums across them.

THE SAME TONNE, REPORTED THREE TIMES (LITHIUM, LIVE FIGURES)Mine (contained)236 kt2024 · 9 countriesOre concentrate (gross)5,434.7 kt2024 · 8 countriesChemicals (gross)383.5 kt2024 · 5 countriesthe amber dot is one tonne of lithium traveling the chain - it appears in every stage's statisticsnaive sum of the three panels:6,054.3 ktdouble-counts the same atoms - never shownthe headline strata shows:236 ktmine production, contained metal - one commensurate series, matches USGS

How do we know a row's stage? We don't infer it - the source reports it.

USGS and BGS publish production as separate statistical series per stage. Strata preserves each row's verbatim wording and only GROUPS that vocabulary into stage panels:

"mine production, Cu content"Mine · contained"blister", "anode", "NPI", "ferronickel"Smelter products"carbonate", "hydroxide", "sulfate"Chemicals"cathode", "electrolytic", "unwrought"Refined metal"...content" in the unitcontained basis, never vs gross

A row whose label fits no family lands in "Other forms" rather than being force-classified, and every row keeps its provenance - so any grouping is auditable back to the source line. That is the difference between a data-integrity rule and a model assumption. A free bonus: nickel's Class-1 vs Class-2 split (refined metal vs NPI / ferronickel) simply falls out of the panels, because the sources were reporting it all along.

Concentration - a number you can decompose

Every screen carries an HHI concentration bar - the product's headline supply-risk number. It is not a black box: it is the sum of squared supply shares, computed separately at each stage, and we show the shares that build it.

The concentration bar on every screen is a single number - the Herfindahl-Hirschman Index (HHI): take each supplier's share of the total, square it, and add them up. It runs 0 (many equal suppliers) to 1 (one supplier owns everything). Squaring is the whole point - it makes a dominant producer count far more than several small ones. We show the shares, so you can rebuild the number yourself.

lithium mine production2025
32%
22%
19%
Australia 32%China 22%Chile 19%Zimbabwe 10%Argentina 8%
0.322+0.212+0.192+0.102+0.082=0.20Moderate

the top five shares alone already sum to 0.20; the dominant producer's square carries most of the index - which is exactly what a concentration measure should do

Diversified< 0.15Moderate0.15 - 0.25Concentrated0.25 - 0.50Highly concentrated≥ 0.50

The ladder runs green to amber and stops there - an index is a description, not an alarm, so there is no red. A missing bar means not enough suppliers disclosed to compute it, never "low".

HHI of which stage?

Because a metal's mine geography is not its refinery geography, we compute HHI separately at each stage and never blend them. The mine map and the refinery map are different maps - and the gap between them is the single most useful supply-risk signal on the page.

  • lithiummine0.20Moderatechemicals0.54Highly concentratedChina 70%

copper is the lesson: mining is spread across the Americas and Africa (diversified), but refining routes through China - the risk lives downstream, and only a per-stage HHI shows it. "% attributed" on the live rows sizes how much of the total the named suppliers cover; a "Rest of world" residual is kept in production sums but excluded from the index, so it can neither dilute nor inflate the concentration number.

Below the annual flow, what is in the ground

Production is a yearly rate; beneath it sit the reserves and mapped deposits that decide whether supply can scale to the transition's build-out.

The eight-stage scaffold starts at the mine; beneath it sits the resource base that decides long-run adequacy - economic reserves in the ground, and the wider inventory of mapped deposits. It is where "can supply scale to meet the build-out?" is actually answered.

Economic reserves by country2025 · USGS
  • Chile9
  • Australia8
  • China5
  • United States4
  • Argentina4

million tonnes contained

A deposit count is not a supply map

Of 751 mapped deposits, 60% sit in United States - not because it holds the metal, but because the USGS MRDS inventory is exhaustive at home and sparser abroad. So we label the count as "how well mapped" and read the true supply leader (Chile) from reserves and production instead. It is the same rule as "a census share is not a world share", one layer deeper.

The scrap loop, kept on its own books

Recycling is a second source of metal - large for a mature base metal, negligible for a young battery metal - and it must never be summed into primary mine production.

The life-cycle infographic shows recycling as a stage; here is how much it actually provides, and why it stays on separate books. Recycled metal re-enters the chain downstream, so it must never be added to primary mine production - that would be the phantom-supply error again. How much a metal recycles is a first-order lever on the demand-vs-supply gap, and it varies enormously by metal.

lithium
0.5%
recovered at end of life

almost nothing is recovered yet - the single biggest lever on future lithium supply

End-of-life recycling rates come from Yale STAFDB; scrap flows and recycled-input share from USGS. The contrast is the point: a mature base metal recovers most of its scrap, while a young battery metal recovers almost none yet - which is exactly the lever a transition scenario tests.

A statistic you can open into named plants

Country totals answer how much; the censuses answer which plants, owned by whom. Counts and China shares below are live from the plant census (operating facilities; shares are of the censused fleet, never presented as world shares).

lithiumas of 2026-06-19
  • Smelting (census)6 · CN 92%
  • Refining (census)55 · CN 62%
  • Chemical processing (census)220 · CN 67%

the converter census is the chain's chokepoint view - HHI withheld until enough plants disclose capacity

Who ultimately controls the plant

A census names the operator; resolution names the ultimate parent behind it - and weighs control by output, not just plant count.

The census names the plant; resolution names who ultimately controls it. Each operator is walked up its ownership chain - SEC EX-21 subsidiary lists and the CorpWatch control graph - to an ultimate parent, its home jurisdiction, and a control bloc. Blocs are relational: the same company is "Domestic" at home and "foreign" abroad, so control is measured against the asset's own country, not in the absolute.

Count the plants, or weigh the output?

A share by plant count and a share by capacity are different numbers, and the gap is the story. Across lithium's 28 resolved operations:

China, by plant count43%
China, by output (capacity-weighted)31%

the gap runs the other way in the spodumene lane - Chinese-owned operations are many but smaller, so the plant tally overstates control. Output-weighting corrects in both directions.

Output by control bloc

China31%Other(JV)30%Western40%

The movement between supply and demand

Metal has to physically reach the user, through specific partners, exposed to specific measures - a supply-risk layer a production map never shows.

Metal is mined in one place and consumed in another, and the movement between is its own risk layer - the part a "who mines it" map never shows. Strata reads it from three public sources: USGS for net-import reliance, CEPII BACI bilateral flows for who ships to whom, and the OECD inventory for the measures that can choke a flow.

54%
from one partner (Chile)

all lithium imports - single-partner dependence is a trade-partner HHI of its own

$3B
top exporter (Chile)

largest global shipper by value (BACI); 7 export measures in force, e.g. Argentina export tax

Every supply-risk layer, in one honest number

Concentration, dependency, control, restrictions and governance roll into a single 0 to 100 screening score - transparent in its parts, and honest when an input is missing.

Everything above - concentration, import dependency, who controls supply, export restrictions, governance - rolls into one 0 to 100 screening score. It is transparent (every component and its weight is shown) and honest when it cannot compute: a missing input reweights the rest rather than counting as zero, and a missing score means "not enough inputs", never "low risk".

60Elevated6/7 inputs · 90% covered
  • Mine-production concentrationw 0.2 · +4.0
  • Midstream concentrationw 0.2 · +15.2
  • Import-partner concentrationw 0.1 · +7.0
  • Import dependency (net import reliance)w 0.1 · +0.0
  • China control of supplyw 0.2 · +18.5
  • Export restrictions + NTMsw 0.1 · +10.6
  • Jurisdiction governance (WGI)w 0.1 · +4.6

The weights are fixed and published, not fit to an outcome. As a sanity check, the score is cross-referenced against the USGS supply-risk benchmark (OFR 2025-1047), where this commodity ranks 48 of 84 (Moderate). The bands run green to amber; there is no red.

Observed activity × verified intensity = implied demand

Take something you can count - tonnes of stainless melted, GWh of cells built, m2 of floorspace added - and multiply by how much metal each unit needs. Every coefficient is independently verified against its publication before use.

observed activity
1,340 GWh battery/yr
IEA Global EV Outlook EV-fleet deployment
×
verified intensity
0.1 kg Li per kWh cell
coefficient: iea cmo 2024
=
implied demand · marked imputed
134 kt/yr
both ingredient sources travel with the row

The coverage meter - how much of world lithium demand our lanes explain

lithium65%

the remainder is stated, not hidden - stock-dominated end uses (grid, buildings) are tracked as stocks, which are never summed with annual flows

Does the transition outrun supply?

Sections 03 and 05 built the two halves - what the world makes, and what the transition needs. Here they meet: each implied-demand lane as a share of the world supply it draws on.

Supply was observed; demand was estimated. Here the two halves finally meet: divide an implied-demand lane by the world supply it draws on, and you get the one number a transition analyst actually wants - is this end use a rounding error, or a claim on a large slice of the world's metal?

lithium
  • battery cells46%
    of world annual production

This is modeled demand over reported world supply - an estimate divided by an observation - so it inherits the estimate's caveat and always reads with a "≈". The denominator matters: an annual-flow lane (stainless melted this year) is measured against annual production, while a stock lane (copper standing in the grid) is measured against reserves. Comparing a stock to a flow is the phantom-supply error in reverse, so we never do it - which is why the demand meter earlier keeps stocks and flows on separate books.

GCAM models the transition; strata is its minerals layer

GCAM projects the energy transition but models no critical minerals. Strata turns GCAM's build-out into mineral demand - and exports the whole layer in GCAM's own input format, with both sources attached to every row.

The GCAM coupling is commodity-agnostic, so it lives on the methodology page: how strata couples to GCAM, and how GCAM answers live inside the product →

What keeps it honest

Every row carries provenance

194 cataloged sources; each figure is traceable to its publication - see /sources.

Nothing proprietary is vendored

Wood Mackenzie, Benchmark, S&P are cite-only and flagged as procurement targets.

Stale data is labeled, not laundered

Yale-STAF material flows and 2008-vintage footprints render with a historical flag.

A census share is not a world share

Plant-census statistics say so explicitly; world shares come from IEA / USGS series.

Where this data comes from

25 sources · titles open the source card · url opens the publisher